1 else '' return url,\",\n \"streams which are likely to be of highest and lowest quality respectively. If\",\n \"stream_types = self.default_stream_types(ostreams) # Add streams depending on stream type and priorities sorted_streams\",\n \"\\\"bitrate\\\" elif name_type == \\\"p\\\": # resolution weight += int(match.group(1)) if match.group(3): #\",\n \"{} for name, stream in sorted_streams: stream_type = type(stream).shortname() # Use * as\",\n \"if stream_type not in stream_types: stream_types.append(stream_type) return stream_types @classmethod def broken(cls, issue=None): def\",\n \"== 1 and 1)) stream_names = filter(stream_weight_only, streams.keys()) sorted_streams = sorted(stream_names, key=stream_weight_only) if\",\n \"final_sorted_streams[\\\"worst\\\"] = streams[worst] final_sorted_streams[\\\"best\\\"] = streams[best] return final_sorted_streams def get_streams(self, *args, **kwargs): \\\"\\\"\\\"Deprecated\",\n \"\\\"{0}{1}\\\".format(name, num_alts + 1) # Validate stream name and discard the stream if\",\n \"bit rate bitrate = int(match.group(1)) weight += bitrate / BIT_RATE_WEIGHT_RATIO return weight, \\\"bitrate\\\"\",\n \"import Cache from ..exceptions import PluginError, NoStreamsError from ..options import Options # FIXME:\",\n \"stream # Create the best/worst synonmys def stream_weight_only(s): return (self.stream_weight(s)[0] or (len(streams) ==\",\n \"import ast import operator import re from collections import OrderedDict from functools import\",\n \"as input. :param stream_types: A list of stream types to return. :param sorting_excludes:\",\n \"will exclude streams ranked higher than \\\"480p\\\" from the list used in the\",\n \"containing the streams, where the key is the name of the stream, most\",\n \"group == filter_group: return not op(weight, filter_weight) return True return func def parse_url_params(url):\",\n \"return func def parse_url_params(url): split = url.split(\\\" \\\", 1) url = split[0] params\",\n \"@classmethod def default_stream_types(cls, streams): stream_types = [\\\"rtmp\\\", \\\"hls\\\", \\\"hds\\\", \\\"http\\\"] for name, stream\",\n \"bitrate / BIT_RATE_WEIGHT_RATIO return weight, \\\"bitrate\\\" elif name_type == \\\"p\\\": # resolution weight\",\n \"in *stream_types* will determine which stream gets to keep the name while the\",\n \"drop _alt from any stream names if name.endswith(\\\"_alt\\\"): name = name[:-len(\\\"_alt\\\")] existing =\",\n \"== \\\"k\\\": # bit rate bitrate = int(match.group(1)) weight += bitrate / BIT_RATE_WEIGHT_RATIO\",\n \"module): cls.cache = Cache(filename=\\\"plugin-cache.json\\\", key_prefix=module) cls.logger = session.logger.new_module(\\\"plugin.\\\" + module) cls.module = module\",\n \"split[0] params = split[1] if len(split) > 1 else '' return url, parse_params(params)\",\n \"@classmethod def get_option(cls, key): return cls.options.get(key) @classmethod def stream_weight(cls, stream): return stream_weight(stream) @classmethod\",\n \"**kwargs): msg = ( \\\"This plugin has been marked as broken. This is\",\n \"20 LOW_PRIORITY = 10 NO_PRIORITY = 0 def stream_weight(stream): for group, weights in\",\n \"return NORMAL_PRIORITY def streams(self, stream_types=None, sorting_excludes=None): \\\"\\\"\\\"Attempts to extract available streams. Returns a\",\n \"working implementation. \\\" ) if issue: msg += \\\"More info: https://github.com/streamlink/streamlink/issues/{0}\\\".format(issue) raise PluginError(msg)\",\n \"list of stream names as input. :param stream_types: A list of stream types\",\n \"will operate on \\\"\\\"\\\" cache = None logger = None module = \\\"unknown\\\"\",\n \"name_type == \\\"p\\\": # resolution weight += int(match.group(1)) if match.group(3): # fps eg.\",\n \"preventing a working implementation. \\\" ) if issue: msg += \\\"More info: https://github.com/streamlink/streamlink/issues/{0}\\\".format(issue)\",\n \"<=. If no operator is specified then equality will be tested. - A\",\n \"= Cache(filename=\\\"plugin-cache.json\\\", key_prefix=module) cls.logger = session.logger.new_module(\\\"plugin.\\\" + module) cls.module = module cls.session =\",\n \"len(split) > 1 else '' return url, parse_params(params) def parse_params(params): rval = {}\",\n \"in weights: return weights[stream], group match = re.match(r\\\"^(\\\\d+)(k|p)?(\\\\d+)?(\\\\+)?(?:_(\\\\d+)k)?(?:_(alt)(\\\\d)?)?$\\\", stream) if match: weight =\",\n \"function that is passed to filter(). \\\"\\\"\\\" try: ostreams = self._get_streams() if isinstance(ostreams,\",\n \"is an alias for backwards compatibility. \\\"\\\"\\\" return self.streams(*args, **kwargs) def _get_streams(self): raise\",\n \"key_prefix=module) cls.logger = session.logger.new_module(\\\"plugin.\\\" + module) cls.module = module cls.session = session def\",\n \"yield (name, stream) def stream_type_priority(stream_types, stream): stream_type = type(stream[1]).shortname() try: prio = stream_types.index(stream_type)\",\n \"weight, group = stream_weight(quality) if group == filter_group: return not op(weight, filter_weight) return\",\n \"= None @classmethod def bind(cls, session, module): cls.cache = Cache(filename=\\\"plugin-cache.json\\\", key_prefix=module) cls.logger =\",\n \"== \\\"p\\\": # resolution weight += int(match.group(1)) if match.group(3): # fps eg. 60p\",\n \"stream_types.index(stream_type) except ValueError: try: prio = stream_types.index(\\\"*\\\") except ValueError: prio = 99 return\",\n \"been marked as broken. This is likely due to \\\" \\\"changes to the\",\n \"try: prio = stream_types.index(stream_type) except ValueError: try: prio = stream_types.index(\\\"*\\\") except ValueError: prio\",\n \"ignored \\\" \\\"since it is badly named.\\\", name) continue # Force lowercase name\",\n \"list): for sub_stream in stream: yield (name, sub_stream) else: yield (name, stream) def\",\n \"value in matches: try: value = ast.literal_eval(value) except Exception: pass rval[key] = value\",\n \"= 99 return prio def stream_sorting_filter(expr, stream_weight): match = re.match(r\\\"(?P<op><=|>=|<|>)?(?P<value>[\\\\w+]+)\\\", expr) if not\",\n \"name while the rest will be renamed to \\\"<name>_<stream type>\\\". The synonyms can\",\n \"discard the stream if it's bad. match = re.match(\\\"([A-z0-9_+]+)\\\", name) if match: name\",\n \"priority for a given URL, by default it returns NORMAL priority. :return: priority\",\n \"exclude from the best/worst synonyms. .. versionchanged:: 1.4.2 Added *priority* parameter. .. versionchanged::\",\n \"fps eg. 60p or 50p weight += int(match.group(3)) if match.group(4) == \\\"+\\\": weight\",\n \"stream_type not in stream_types: continue # drop _alt from any stream names if\",\n \"order of streams specified in *stream_types* will determine which stream gets to keep\",\n \"stream) if match: weight = 0 if match.group(6): if match.group(7): weight -= ALT_WEIGHT_MOD\",\n \"# bit rate bitrate = int(match.group(1)) weight += bitrate / BIT_RATE_WEIGHT_RATIO return weight,\",\n \"match.group(5): # bit rate classifier for resolution weight += int(match.group(5)) / BIT_RATE_WEIGHT_RATIO return\",\n \"\\\"\\\"\\\"A plugin can retrieve stream information from the URL specified. :param url: URL\",\n \"\\\" ) if issue: msg += \\\"More info: https://github.com/streamlink/streamlink/issues/{0}\\\".format(issue) raise PluginError(msg) def decorator(*args,\",\n \"0: name = \\\"{0}{1}\\\".format(name, num_alts + 1) # Validate stream name and discard\",\n \"\\\"<name>_<stream type>\\\". The synonyms can be fine tuned with the *sorting_excludes* parameter. This\",\n \"to filter() with a list of stream names as input. :param stream_types: A\",\n \"group match = re.match(r\\\"^(\\\\d+)(k|p)?(\\\\d+)?(\\\\+)?(?:_(\\\\d+)k)?(?:_(alt)(\\\\d)?)?$\\\", stream) if match: weight = 0 if match.group(6): if\",\n \"in sorted_streams: stream_type = type(stream).shortname() # Use * as wildcard to match other\",\n \"func return decorator @classmethod def priority(cls, url): \\\"\\\"\\\" Return the plugin priority for\",\n \"if match.group(4) == \\\"+\\\": weight += 1 if match.group(5): # bit rate classifier\",\n \"plugin will operate on \\\"\\\"\\\" cache = None logger = None module =\",\n \"fix. BIT_RATE_WEIGHT_RATIO = 2.8 ALT_WEIGHT_MOD = 0.01 QUALITY_WEIGTHS_EXTRA = { \\\"other\\\": { \\\"live\\\":\",\n \"( \\\"This plugin has been marked as broken. This is likely due to\",\n \"be tested. - A function that is passed to filter() with a list\",\n \"+= bitrate / BIT_RATE_WEIGHT_RATIO return weight, \\\"bitrate\\\" elif name_type == \\\"p\\\": # resolution\",\n \"list so we can reuse it. if ostreams: ostreams = list(ostreams) except NoStreamsError:\",\n \"= \\\"{0}{1}\\\".format(name, num_alts + 1) # Validate stream name and discard the stream\",\n \"respectively. If multiple streams with the same name are found, the order of\",\n \"these types: - A list of filter expressions in the format *[operator]<value>*. For\",\n \"{ \\\"ehq\\\": 720, \\\"hq\\\": 576, \\\"sq\\\": 360, }, } FILTER_OPERATORS = { \\\"<\\\":\",\n \"similar to the weight of a resolution. # Someone who knows math, please\",\n \"if name_type == \\\"k\\\": # bit rate bitrate = int(match.group(1)) weight += bitrate\",\n \"\\\"none\\\" def iterate_streams(streams): for name, stream in streams: if isinstance(stream, list): for sub_stream\",\n \"if it's bad. match = re.match(\\\"([A-z0-9_+]+)\\\", name) if match: name = match.group(1) else:\",\n \"sorted(streams, key=stream_weight_only): final_sorted_streams[stream_name] = streams[stream_name] if len(sorted_streams) > 0: best = sorted_streams[-1] worst\",\n \"behaviour slightly. .. versionchanged:: 1.5.0 Added *sorting_excludes* parameter. .. versionchanged:: 1.6.0 *sorting_excludes* can\",\n \"stream: yield (name, sub_stream) else: yield (name, stream) def stream_type_priority(stream_types, stream): stream_type =\",\n \"\\\"{0}_alt\\\".format(name) num_alts = len(list(filter(lambda n: n.startswith(name), streams.keys()))) # We shouldn't need more than\",\n \"no operator is specified then equality will be tested. - A function that\",\n \"0 if match.group(6): if match.group(7): weight -= ALT_WEIGHT_MOD * int(match.group(7)) else: weight -=\",\n \"stream_sorting_filter(expr, stream_weight): match = re.match(r\\\"(?P<op><=|>=|<|>)?(?P<value>[\\\\w+]+)\\\", expr) if not match: raise PluginError(\\\"Invalid filter expression:\",\n \"result can contain the synonyms **best** and **worst** which points to the streams\",\n \"priorities sorted_streams = sorted(iterate_streams(ostreams), key=partial(stream_type_priority, stream_types)) streams = {} for name, stream in\",\n \"operator.ge, } PARAMS_REGEX = r\\\"(\\\\w+)=({.+?}|\\\\[.+?\\\\]|\\\\(.+?\\\\)|'(?:[^'\\\\\\\\]|\\\\\\\\')*'|\\\\\\\"(?:[^\\\\\\\"\\\\\\\\]|\\\\\\\\\\\\\\\")*\\\\\\\"|\\\\S+)\\\" HIGH_PRIORITY = 30 NORMAL_PRIORITY = 20 LOW_PRIORITY =\",\n \"logger = None module = \\\"unknown\\\" options = Options() session = None @classmethod\",\n \"the URL specified. :param url: URL that the plugin will operate on \\\"\\\"\\\"\",\n \"0.01 QUALITY_WEIGTHS_EXTRA = { \\\"other\\\": { \\\"live\\\": 1080, }, \\\"tv\\\": { \\\"hd\\\": 1080,\",\n \"lowercase name and replace space with underscore. streams[name.lower()] = stream # Create the\",\n \"shouldn't need more than 2 alt streams if num_alts >= 2: continue elif\",\n \"crude attempt at making a bitrate's # weight end up similar to the\",\n \"Returns a :class:`dict` containing the streams, where the key is the name of\",\n \"\\\"\\\"\\\" return NORMAL_PRIORITY def streams(self, stream_types=None, sorting_excludes=None): \\\"\\\"\\\"Attempts to extract available streams. Returns\",\n \"name = match.group(1) else: self.logger.debug(\\\"The stream '{0}' has been ignored \\\" \\\"since it\",\n \"filter_weight) return True return func def parse_url_params(url): split = url.split(\\\" \\\", 1) url\",\n \"def default_stream_types(cls, streams): stream_types = [\\\"rtmp\\\", \\\"hls\\\", \\\"hds\\\", \\\"http\\\"] for name, stream in\",\n \"multiple streams with the same name are found, the order of streams specified\",\n \"filter expression: {0}\\\".format(expr)) op, value = match.group(\\\"op\\\", \\\"value\\\") op = FILTER_OPERATORS.get(op, operator.eq) filter_weight,\",\n \"576, }, \\\"quality\\\": { \\\"ehq\\\": 720, \\\"hq\\\": 576, \\\"sq\\\": 360, }, } FILTER_OPERATORS\",\n \"name.endswith(\\\"_alt\\\"): name = name[:-len(\\\"_alt\\\")] existing = streams.get(name) if existing: existing_stream_type = type(existing).shortname() if\",\n \"for name, stream in sorted_streams: stream_type = type(stream).shortname() # Use * as wildcard\",\n \"name, stream in streams: if isinstance(stream, list): for sub_stream in stream: yield (name,\",\n \"Exception: pass rval[key] = value return rval class Plugin(object): \\\"\\\"\\\"A plugin can retrieve\",\n \"module = \\\"unknown\\\" options = Options() session = None @classmethod def bind(cls, session,\",\n \"streams[stream_name] if len(sorted_streams) > 0: best = sorted_streams[-1] worst = sorted_streams[0] final_sorted_streams[\\\"worst\\\"] =\",\n \"or a function that is passed to filter(). \\\"\\\"\\\" try: ostreams = self._get_streams()\",\n \"by default it returns NORMAL priority. :return: priority level \\\"\\\"\\\" return NORMAL_PRIORITY def\",\n \"return cls.options.get(key) @classmethod def stream_weight(cls, stream): return stream_weight(stream) @classmethod def default_stream_types(cls, streams): stream_types\",\n \"a :class:`dict` containing the streams, where the key is the name of the\",\n \"filter expressions in the format *[operator]<value>*. For example the filter \\\">480p\\\" will exclude\",\n \"} PARAMS_REGEX = r\\\"(\\\\w+)=({.+?}|\\\\[.+?\\\\]|\\\\(.+?\\\\)|'(?:[^'\\\\\\\\]|\\\\\\\\')*'|\\\\\\\"(?:[^\\\\\\\"\\\\\\\\]|\\\\\\\\\\\\\\\")*\\\\\\\"|\\\\S+)\\\" HIGH_PRIORITY = 30 NORMAL_PRIORITY = 20 LOW_PRIORITY = 10\",\n \"than \\\"480p\\\" from the list used in the synonyms ranking. Valid operators are\",\n \"stream in iterate_streams(streams): stream_type = type(stream).shortname() if stream_type not in stream_types: stream_types.append(stream_type) return\",\n \"..options import Options # FIXME: This is a crude attempt at making a\",\n \"match.group(6): if match.group(7): weight -= ALT_WEIGHT_MOD * int(match.group(7)) else: weight -= ALT_WEIGHT_MOD name_type\",\n \"list): for expr in sorting_excludes: filter_func = stream_sorting_filter(expr, self.stream_weight) sorted_streams = list(filter(filter_func, sorted_streams))\",\n \"return final_sorted_streams def get_streams(self, *args, **kwargs): \\\"\\\"\\\"Deprecated since version 1.9.0. Has been renamed\",\n \"= match.group(1) else: self.logger.debug(\\\"The stream '{0}' has been ignored \\\" \\\"since it is\",\n \"self.default_stream_types(ostreams) # Add streams depending on stream type and priorities sorted_streams = sorted(iterate_streams(ostreams),\",\n \"if stream in weights: return weights[stream], group match = re.match(r\\\"^(\\\\d+)(k|p)?(\\\\d+)?(\\\\+)?(?:_(\\\\d+)k)?(?:_(alt)(\\\\d)?)?$\\\", stream) if match:\",\n \"in stream_types: stream_types.append(stream_type) return stream_types @classmethod def broken(cls, issue=None): def func(*args, **kwargs): msg\",\n \"iterate_streams(streams): for name, stream in streams: if isinstance(stream, list): for sub_stream in stream:\",\n \"= sorted(iterate_streams(ostreams), key=partial(stream_type_priority, stream_types)) streams = {} for name, stream in sorted_streams: stream_type\",\n \"extract available streams. Returns a :class:`dict` containing the streams, where the key is\",\n \"match: name = match.group(1) else: self.logger.debug(\\\"The stream '{0}' has been ignored \\\" \\\"since\",\n \"same name are found, the order of streams specified in *stream_types* will determine\",\n \"= {} for name, stream in sorted_streams: stream_type = type(stream).shortname() # Use *\",\n \"name in streams: name = \\\"{0}_alt\\\".format(name) num_alts = len(list(filter(lambda n: n.startswith(name), streams.keys()))) #\",\n \"# Force lowercase name and replace space with underscore. streams[name.lower()] = stream #\",\n \"2: continue elif num_alts > 0: name = \\\"{0}{1}\\\".format(name, num_alts + 1) #\",\n \"retrieve stream information from the URL specified. :param url: URL that the plugin\",\n \"if match.group(6): if match.group(7): weight -= ALT_WEIGHT_MOD * int(match.group(7)) else: weight -= ALT_WEIGHT_MOD\",\n \"streams ranked higher than \\\"480p\\\" from the list used in the synonyms ranking.\",\n \"rate bitrate = int(match.group(1)) weight += bitrate / BIT_RATE_WEIGHT_RATIO return weight, \\\"bitrate\\\" elif\",\n \"stream types if \\\"*\\\" not in stream_types and stream_type not in stream_types: continue\",\n \"if match: name = match.group(1) else: self.logger.debug(\\\"The stream '{0}' has been ignored \\\"\",\n \"@classmethod def can_handle_url(cls, url): raise NotImplementedError @classmethod def set_option(cls, key, value): cls.options.set(key, value)\",\n \"\\\"hds\\\", \\\"http\\\"] for name, stream in iterate_streams(streams): stream_type = type(stream).shortname() if stream_type not\",\n \"\\\">480p\\\" will exclude streams ranked higher than \\\"480p\\\" from the list used in\",\n \"stream_types)) streams = {} for name, stream in sorted_streams: stream_type = type(stream).shortname() #\",\n \"= 0 if match.group(6): if match.group(7): weight -= ALT_WEIGHT_MOD * int(match.group(7)) else: weight\",\n \"stream_weight): match = re.match(r\\\"(?P<op><=|>=|<|>)?(?P<value>[\\\\w+]+)\\\", expr) if not match: raise PluginError(\\\"Invalid filter expression: {0}\\\".format(expr))\",\n \"the order of streams specified in *stream_types* will determine which stream gets to\",\n \"name) continue # Force lowercase name and replace space with underscore. streams[name.lower()] =\",\n \"key, value in matches: try: value = ast.literal_eval(value) except Exception: pass rval[key] =\",\n \"and priorities sorted_streams = sorted(iterate_streams(ostreams), key=partial(stream_type_priority, stream_types)) streams = {} for name, stream\",\n \"the stream if it's bad. match = re.match(\\\"([A-z0-9_+]+)\\\", name) if match: name =\",\n \"}, } FILTER_OPERATORS = { \\\"<\\\": operator.lt, \\\"<=\\\": operator.le, \\\">\\\": operator.gt, \\\">=\\\": operator.ge,\",\n \"is likely due to \\\" \\\"changes to the service preventing a working implementation.\",\n \"* int(match.group(7)) else: weight -= ALT_WEIGHT_MOD name_type = match.group(2) if name_type == \\\"k\\\":\",\n \"session.logger.new_module(\\\"plugin.\\\" + module) cls.module = module cls.session = session def __init__(self, url): self.url\",\n \"__init__(self, url): self.url = url @classmethod def can_handle_url(cls, url): raise NotImplementedError @classmethod def\",\n \"specified then equality will be tested. - A function that is passed to\",\n \"!= stream_type: name = \\\"{0}_{1}\\\".format(name, stream_type) if name in streams: name = \\\"{0}_alt\\\".format(name)\",\n \"1 else '' return url, parse_params(params) def parse_params(params): rval = {} matches =\",\n \"_alt from any stream names if name.endswith(\\\"_alt\\\"): name = name[:-len(\\\"_alt\\\")] existing = streams.get(name)\",\n \"= stream_types.index(\\\"*\\\") except ValueError: prio = 99 return prio def stream_sorting_filter(expr, stream_weight): match\",\n \"if match.group(3): # fps eg. 60p or 50p weight += int(match.group(3)) if match.group(4)\",\n \"NORMAL_PRIORITY def streams(self, stream_types=None, sorting_excludes=None): \\\"\\\"\\\"Attempts to extract available streams. Returns a :class:`dict`\",\n \"not ostreams: return {} if stream_types is None: stream_types = self.default_stream_types(ostreams) # Add\",\n \"stream name and discard the stream if it's bad. match = re.match(\\\"([A-z0-9_+]+)\\\", name)\",\n \"end up similar to the weight of a resolution. # Someone who knows\",\n \"key is the name of the stream, most commonly the quality and the\",\n \"= None logger = None module = \\\"unknown\\\" options = Options() session =\",\n \"to the weight of a resolution. # Someone who knows math, please fix.\",\n \"The result can contain the synonyms **best** and **worst** which points to the\",\n \"weight += int(match.group(1)) if match.group(3): # fps eg. 60p or 50p weight +=\",\n \"of the stream, most commonly the quality and the value is a :class:`Stream`\",\n \"\\\"other\\\": { \\\"live\\\": 1080, }, \\\"tv\\\": { \\\"hd\\\": 1080, \\\"sd\\\": 576, }, \\\"quality\\\":\",\n \"expression: {0}\\\".format(expr)) op, value = match.group(\\\"op\\\", \\\"value\\\") op = FILTER_OPERATORS.get(op, operator.eq) filter_weight, filter_group\",\n \"int(match.group(5)) / BIT_RATE_WEIGHT_RATIO return weight, \\\"pixels\\\" return 0, \\\"none\\\" def iterate_streams(streams): for name,\",\n \"expr in sorting_excludes: filter_func = stream_sorting_filter(expr, self.stream_weight) sorted_streams = list(filter(filter_func, sorted_streams)) elif callable(sorting_excludes):\",\n \"can contain the synonyms **best** and **worst** which points to the streams which\",\n \"+ 1) # Validate stream name and discard the stream if it's bad.\",\n \"stream_weight_only(s): return (self.stream_weight(s)[0] or (len(streams) == 1 and 1)) stream_names = filter(stream_weight_only, streams.keys())\",\n \"is None: stream_types = self.default_stream_types(ostreams) # Add streams depending on stream type and\",\n \"sorting_excludes: filter_func = stream_sorting_filter(expr, self.stream_weight) sorted_streams = list(filter(filter_func, sorted_streams)) elif callable(sorting_excludes): sorted_streams =\",\n \"name) if match: name = match.group(1) else: self.logger.debug(\\\"The stream '{0}' has been ignored\",\n \"{ \\\"live\\\": 1080, }, \\\"tv\\\": { \\\"hd\\\": 1080, \\\"sd\\\": 576, }, \\\"quality\\\": {\",\n \"group, weights in QUALITY_WEIGTHS_EXTRA.items(): if stream in weights: return weights[stream], group match =\",\n \"operator.gt, \\\">=\\\": operator.ge, } PARAMS_REGEX = r\\\"(\\\\w+)=({.+?}|\\\\[.+?\\\\]|\\\\(.+?\\\\)|'(?:[^'\\\\\\\\]|\\\\\\\\')*'|\\\\\\\"(?:[^\\\\\\\"\\\\\\\\]|\\\\\\\\\\\\\\\")*\\\\\\\"|\\\\S+)\\\" HIGH_PRIORITY = 30 NORMAL_PRIORITY = 20\",\n \"= 10 NO_PRIORITY = 0 def stream_weight(stream): for group, weights in QUALITY_WEIGTHS_EXTRA.items(): if\",\n \"QUALITY_WEIGTHS_EXTRA.items(): if stream in weights: return weights[stream], group match = re.match(r\\\"^(\\\\d+)(k|p)?(\\\\d+)?(\\\\+)?(?:_(\\\\d+)k)?(?:_(alt)(\\\\d)?)?$\\\", stream) if\",\n \"\\\"\\\"\\\"Attempts to extract available streams. Returns a :class:`dict` containing the streams, where the\",\n \"operator is specified then equality will be tested. - A function that is\",\n \"ostreams.items() # Flatten the iterator to a list so we can reuse it.\",\n \"parameter. .. versionchanged:: 1.6.0 *sorting_excludes* can now be a list of filter expressions\",\n \"stream, most commonly the quality and the value is a :class:`Stream` object. The\",\n \"..cache import Cache from ..exceptions import PluginError, NoStreamsError from ..options import Options #\",\n \"iterator to a list so we can reuse it. if ostreams: ostreams =\",\n \"bad. match = re.match(\\\"([A-z0-9_+]+)\\\", name) if match: name = match.group(1) else: self.logger.debug(\\\"The stream\",\n \"match = re.match(r\\\"^(\\\\d+)(k|p)?(\\\\d+)?(\\\\+)?(?:_(\\\\d+)k)?(?:_(alt)(\\\\d)?)?$\\\", stream) if match: weight = 0 if match.group(6): if match.group(7):\",\n \"weight of a resolution. # Someone who knows math, please fix. BIT_RATE_WEIGHT_RATIO =\",\n \"# weight end up similar to the weight of a resolution. # Someone\",\n \"info: https://github.com/streamlink/streamlink/issues/{0}\\\".format(issue) raise PluginError(msg) def decorator(*args, **kwargs): return func return decorator @classmethod def\",\n \"continue elif num_alts > 0: name = \\\"{0}{1}\\\".format(name, num_alts + 1) # Validate\",\n \"input. :param stream_types: A list of stream types to return. :param sorting_excludes: Specify\",\n \"expr) if not match: raise PluginError(\\\"Invalid filter expression: {0}\\\".format(expr)) op, value = match.group(\\\"op\\\",\",\n \"True return func def parse_url_params(url): split = url.split(\\\" \\\", 1) url = split[0]\",\n \"if issue: msg += \\\"More info: https://github.com/streamlink/streamlink/issues/{0}\\\".format(issue) raise PluginError(msg) def decorator(*args, **kwargs): return\",\n \"and lowest quality respectively. If multiple streams with the same name are found,\",\n \"the streams which are likely to be of highest and lowest quality respectively.\",\n \"resolution weight += int(match.group(5)) / BIT_RATE_WEIGHT_RATIO return weight, \\\"pixels\\\" return 0, \\\"none\\\" def\",\n \"bitrate's # weight end up similar to the weight of a resolution. #\",\n \"highest and lowest quality respectively. If multiple streams with the same name are\",\n \"type and priorities sorted_streams = sorted(iterate_streams(ostreams), key=partial(stream_type_priority, stream_types)) streams = {} for name,\",\n \"from ..exceptions import PluginError, NoStreamsError from ..options import Options # FIXME: This is\",\n \"from any stream names if name.endswith(\\\"_alt\\\"): name = name[:-len(\\\"_alt\\\")] existing = streams.get(name) if\",\n \"= list(filter(sorting_excludes, sorted_streams)) final_sorted_streams = OrderedDict() for stream_name in sorted(streams, key=stream_weight_only): final_sorted_streams[stream_name] =\",\n \"plugin has been marked as broken. This is likely due to \\\" \\\"changes\",\n \"< and <=. If no operator is specified then equality will be tested.\",\n \"= type(stream[1]).shortname() try: prio = stream_types.index(stream_type) except ValueError: try: prio = stream_types.index(\\\"*\\\") except\",\n \"streams: if isinstance(stream, list): for sub_stream in stream: yield (name, sub_stream) else: yield\",\n \"to exclude from the best/worst synonyms. .. versionchanged:: 1.4.2 Added *priority* parameter. ..\",\n \"higher than \\\"480p\\\" from the list used in the synonyms ranking. Valid operators\",\n \"best/worst synonyms. .. versionchanged:: 1.4.2 Added *priority* parameter. .. versionchanged:: 1.5.0 Renamed *priority*\",\n \"named.\\\", name) continue # Force lowercase name and replace space with underscore. streams[name.lower()]\",\n \"\\\">\\\": operator.gt, \\\">=\\\": operator.ge, } PARAMS_REGEX = r\\\"(\\\\w+)=({.+?}|\\\\[.+?\\\\]|\\\\(.+?\\\\)|'(?:[^'\\\\\\\\]|\\\\\\\\')*'|\\\\\\\"(?:[^\\\\\\\"\\\\\\\\]|\\\\\\\\\\\\\\\")*\\\\\\\"|\\\\S+)\\\" HIGH_PRIORITY = 30 NORMAL_PRIORITY =\",\n \"BIT_RATE_WEIGHT_RATIO return weight, \\\"pixels\\\" return 0, \\\"none\\\" def iterate_streams(streams): for name, stream in\",\n \"isinstance(stream, list): for sub_stream in stream: yield (name, sub_stream) else: yield (name, stream)\",\n \"versionchanged:: 1.4.2 Added *priority* parameter. .. versionchanged:: 1.5.0 Renamed *priority* to *stream_types* and\",\n \"(IOError, OSError, ValueError) as err: raise PluginError(err) if not ostreams: return {} if\",\n \"in the synonyms ranking. Valid operators are >, >=, < and <=. If\",\n \"BIT_RATE_WEIGHT_RATIO return weight, \\\"bitrate\\\" elif name_type == \\\"p\\\": # resolution weight += int(match.group(1))\",\n \"= 0 def stream_weight(stream): for group, weights in QUALITY_WEIGTHS_EXTRA.items(): if stream in weights:\",\n \"name[:-len(\\\"_alt\\\")] existing = streams.get(name) if existing: existing_stream_type = type(existing).shortname() if existing_stream_type != stream_type:\",\n \"parse_url_params(url): split = url.split(\\\" \\\", 1) url = split[0] params = split[1] if\",\n \"issue=None): def func(*args, **kwargs): msg = ( \\\"This plugin has been marked as\",\n \"sorted_streams = sorted(stream_names, key=stream_weight_only) if isinstance(sorting_excludes, list): for expr in sorting_excludes: filter_func =\",\n \"type(stream[1]).shortname() try: prio = stream_types.index(stream_type) except ValueError: try: prio = stream_types.index(\\\"*\\\") except ValueError:\",\n \"{0}\\\".format(expr)) op, value = match.group(\\\"op\\\", \\\"value\\\") op = FILTER_OPERATORS.get(op, operator.eq) filter_weight, filter_group =\",\n \"OSError, ValueError) as err: raise PluginError(err) if not ostreams: return {} if stream_types\",\n \"{ \\\"other\\\": { \\\"live\\\": 1080, }, \\\"tv\\\": { \\\"hd\\\": 1080, \\\"sd\\\": 576, },\",\n \"PluginError(\\\"Invalid filter expression: {0}\\\".format(expr)) op, value = match.group(\\\"op\\\", \\\"value\\\") op = FILTER_OPERATORS.get(op, operator.eq)\",\n \"return. :param sorting_excludes: Specify which streams to exclude from the best/worst synonyms. ..\",\n \"information from the URL specified. :param url: URL that the plugin will operate\",\n \"to filter(). \\\"\\\"\\\" try: ostreams = self._get_streams() if isinstance(ostreams, dict): ostreams = ostreams.items()\",\n \"try: prio = stream_types.index(\\\"*\\\") except ValueError: prio = 99 return prio def stream_sorting_filter(expr,\",\n \"match = re.match(\\\"([A-z0-9_+]+)\\\", name) if match: name = match.group(1) else: self.logger.debug(\\\"The stream '{0}'\",\n \"*[operator]<value>*. For example the filter \\\">480p\\\" will exclude streams ranked higher than \\\"480p\\\"\",\n \"name of the stream, most commonly the quality and the value is a\",\n \"in the format *[operator]<value>*. For example the filter \\\">480p\\\" will exclude streams ranked\",\n \"= stream # Create the best/worst synonmys def stream_weight_only(s): return (self.stream_weight(s)[0] or (len(streams)\",\n \"99 return prio def stream_sorting_filter(expr, stream_weight): match = re.match(r\\\"(?P<op><=|>=|<|>)?(?P<value>[\\\\w+]+)\\\", expr) if not match:\",\n \"will be renamed to \\\"<name>_<stream type>\\\". The synonyms can be fine tuned with\",\n \"op, value = match.group(\\\"op\\\", \\\"value\\\") op = FILTER_OPERATORS.get(op, operator.eq) filter_weight, filter_group = stream_weight(value)\",\n \"None logger = None module = \\\"unknown\\\" options = Options() session = None\",\n \"value) @classmethod def get_option(cls, key): return cls.options.get(key) @classmethod def stream_weight(cls, stream): return stream_weight(stream)\",\n \"need more than 2 alt streams if num_alts >= 2: continue elif num_alts\",\n \"return url, parse_params(params) def parse_params(params): rval = {} matches = re.findall(PARAMS_REGEX, params) for\",\n \"1) # Validate stream name and discard the stream if it's bad. match\",\n \"re.match(r\\\"^(\\\\d+)(k|p)?(\\\\d+)?(\\\\+)?(?:_(\\\\d+)k)?(?:_(alt)(\\\\d)?)?$\\\", stream) if match: weight = 0 if match.group(6): if match.group(7): weight -=\",\n \"now be a list of filter expressions or a function that is passed\",\n \"streams.get(name) if existing: existing_stream_type = type(existing).shortname() if existing_stream_type != stream_type: name = \\\"{0}_{1}\\\".format(name,\",\n \"stream_type) if name in streams: name = \\\"{0}_alt\\\".format(name) num_alts = len(list(filter(lambda n: n.startswith(name),\",\n \"Validate stream name and discard the stream if it's bad. match = re.match(\\\"([A-z0-9_+]+)\\\",\",\n \"Plugin(object): \\\"\\\"\\\"A plugin can retrieve stream information from the URL specified. :param url:\",\n \"list(filter(sorting_excludes, sorted_streams)) final_sorted_streams = OrderedDict() for stream_name in sorted(streams, key=stream_weight_only): final_sorted_streams[stream_name] = streams[stream_name]\",\n \"None: stream_types = self.default_stream_types(ostreams) # Add streams depending on stream type and priorities\",\n \"resolution. # Someone who knows math, please fix. BIT_RATE_WEIGHT_RATIO = 2.8 ALT_WEIGHT_MOD =\",\n \"stream_weight(stream): for group, weights in QUALITY_WEIGTHS_EXTRA.items(): if stream in weights: return weights[stream], group\",\n \"stream_type not in stream_types: stream_types.append(stream_type) return stream_types @classmethod def broken(cls, issue=None): def func(*args,\",\n \"type(stream).shortname() # Use * as wildcard to match other stream types if \\\"*\\\"\",\n \"The synonyms can be fine tuned with the *sorting_excludes* parameter. This can be\",\n \"is badly named.\\\", name) continue # Force lowercase name and replace space with\",\n \"if isinstance(sorting_excludes, list): for expr in sorting_excludes: filter_func = stream_sorting_filter(expr, self.stream_weight) sorted_streams =\",\n \"weight = 0 if match.group(6): if match.group(7): weight -= ALT_WEIGHT_MOD * int(match.group(7)) else:\",\n \"for stream_name in sorted(streams, key=stream_weight_only): final_sorted_streams[stream_name] = streams[stream_name] if len(sorted_streams) > 0: best\",\n \"to match other stream types if \\\"*\\\" not in stream_types and stream_type not\",\n \"\\\">=\\\": operator.ge, } PARAMS_REGEX = r\\\"(\\\\w+)=({.+?}|\\\\[.+?\\\\]|\\\\(.+?\\\\)|'(?:[^'\\\\\\\\]|\\\\\\\\')*'|\\\\\\\"(?:[^\\\\\\\"\\\\\\\\]|\\\\\\\\\\\\\\\")*\\\\\\\"|\\\\S+)\\\" HIGH_PRIORITY = 30 NORMAL_PRIORITY = 20 LOW_PRIORITY\",\n \"\\\"\\\"\\\"Deprecated since version 1.9.0. Has been renamed to :func:`Plugin.streams`, this is an alias\",\n \"filter \\\">480p\\\" will exclude streams ranked higher than \\\"480p\\\" from the list used\",\n \"likely to be of highest and lowest quality respectively. If multiple streams with\",\n \"most commonly the quality and the value is a :class:`Stream` object. The result\",\n \"used in the synonyms ranking. Valid operators are >, >=, < and <=.\",\n \"value = ast.literal_eval(value) except Exception: pass rval[key] = value return rval class Plugin(object):\",\n \"= stream_sorting_filter(expr, self.stream_weight) sorted_streams = list(filter(filter_func, sorted_streams)) elif callable(sorting_excludes): sorted_streams = list(filter(sorting_excludes, sorted_streams))\",\n \"callable(sorting_excludes): sorted_streams = list(filter(sorting_excludes, sorted_streams)) final_sorted_streams = OrderedDict() for stream_name in sorted(streams, key=stream_weight_only):\",\n \"the service preventing a working implementation. \\\" ) if issue: msg += \\\"More\",\n \"returns NORMAL priority. :return: priority level \\\"\\\"\\\" return NORMAL_PRIORITY def streams(self, stream_types=None, sorting_excludes=None):\",\n \"url, parse_params(params) def parse_params(params): rval = {} matches = re.findall(PARAMS_REGEX, params) for key,\",\n \"sorted(iterate_streams(ostreams), key=partial(stream_type_priority, stream_types)) streams = {} for name, stream in sorted_streams: stream_type =\",\n \"group = stream_weight(quality) if group == filter_group: return not op(weight, filter_weight) return True\",\n \"in stream_types and stream_type not in stream_types: continue # drop _alt from any\",\n \"versionchanged:: 1.5.0 Added *sorting_excludes* parameter. .. versionchanged:: 1.6.0 *sorting_excludes* can now be a\",\n \"= streams[worst] final_sorted_streams[\\\"best\\\"] = streams[best] return final_sorted_streams def get_streams(self, *args, **kwargs): \\\"\\\"\\\"Deprecated since\",\n \"url): self.url = url @classmethod def can_handle_url(cls, url): raise NotImplementedError @classmethod def set_option(cls,\",\n \"**worst** which points to the streams which are likely to be of highest\",\n \"get_streams(self, *args, **kwargs): \\\"\\\"\\\"Deprecated since version 1.9.0. Has been renamed to :func:`Plugin.streams`, this\",\n \"we can reuse it. if ostreams: ostreams = list(ostreams) except NoStreamsError: return {}\",\n \"wildcard to match other stream types if \\\"*\\\" not in stream_types and stream_type\",\n \"filter_weight, filter_group = stream_weight(value) def func(quality): weight, group = stream_weight(quality) if group ==\",\n \"num_alts >= 2: continue elif num_alts > 0: name = \\\"{0}{1}\\\".format(name, num_alts +\",\n \"= type(stream).shortname() if stream_type not in stream_types: stream_types.append(stream_type) return stream_types @classmethod def broken(cls,\",\n \"*priority* to *stream_types* and changed behaviour slightly. .. versionchanged:: 1.5.0 Added *sorting_excludes* parameter.\",\n \"Return the plugin priority for a given URL, by default it returns NORMAL\",\n \"int(match.group(1)) weight += bitrate / BIT_RATE_WEIGHT_RATIO return weight, \\\"bitrate\\\" elif name_type == \\\"p\\\":\",\n \"a list so we can reuse it. if ostreams: ostreams = list(ostreams) except\",\n \"resolution weight += int(match.group(1)) if match.group(3): # fps eg. 60p or 50p weight\",\n \"session def __init__(self, url): self.url = url @classmethod def can_handle_url(cls, url): raise NotImplementedError\",\n \"sorted_streams)) elif callable(sorting_excludes): sorted_streams = list(filter(sorting_excludes, sorted_streams)) final_sorted_streams = OrderedDict() for stream_name in\",\n \"session, module): cls.cache = Cache(filename=\\\"plugin-cache.json\\\", key_prefix=module) cls.logger = session.logger.new_module(\\\"plugin.\\\" + module) cls.module =\",\n \".. versionchanged:: 1.5.0 Added *sorting_excludes* parameter. .. versionchanged:: 1.6.0 *sorting_excludes* can now be\",\n \"object. The result can contain the synonyms **best** and **worst** which points to\",\n \"HIGH_PRIORITY = 30 NORMAL_PRIORITY = 20 LOW_PRIORITY = 10 NO_PRIORITY = 0 def\",\n \"operator.lt, \\\"<=\\\": operator.le, \\\">\\\": operator.gt, \\\">=\\\": operator.ge, } PARAMS_REGEX = r\\\"(\\\\w+)=({.+?}|\\\\[.+?\\\\]|\\\\(.+?\\\\)|'(?:[^'\\\\\\\\]|\\\\\\\\')*'|\\\\\\\"(?:[^\\\\\\\"\\\\\\\\]|\\\\\\\\\\\\\\\")*\\\\\\\"|\\\\S+)\\\" HIGH_PRIORITY =\",\n \"@classmethod def bind(cls, session, module): cls.cache = Cache(filename=\\\"plugin-cache.json\\\", key_prefix=module) cls.logger = session.logger.new_module(\\\"plugin.\\\" +\",\n \"n: n.startswith(name), streams.keys()))) # We shouldn't need more than 2 alt streams if\",\n \"match other stream types if \\\"*\\\" not in stream_types and stream_type not in\",\n \"stream_weight(value) def func(quality): weight, group = stream_weight(quality) if group == filter_group: return not\",\n \"a list of filter expressions or a function that is passed to filter().\",\n \"import re from collections import OrderedDict from functools import partial from ..cache import\",\n \"the quality and the value is a :class:`Stream` object. The result can contain\",\n \"reuse it. if ostreams: ostreams = list(ostreams) except NoStreamsError: return {} except (IOError,\",\n \"key, value): cls.options.set(key, value) @classmethod def get_option(cls, key): return cls.options.get(key) @classmethod def stream_weight(cls,\",\n \"\\\"This plugin has been marked as broken. This is likely due to \\\"\",\n \"URL specified. :param url: URL that the plugin will operate on \\\"\\\"\\\" cache\",\n \"int(match.group(1)) if match.group(3): # fps eg. 60p or 50p weight += int(match.group(3)) if\",\n \"stream in sorted_streams: stream_type = type(stream).shortname() # Use * as wildcard to match\",\n \"1.9.0. Has been renamed to :func:`Plugin.streams`, this is an alias for backwards compatibility.\",\n \"match.group(4) == \\\"+\\\": weight += 1 if match.group(5): # bit rate classifier for\",\n \"if stream_types is None: stream_types = self.default_stream_types(ostreams) # Add streams depending on stream\",\n \"issue: msg += \\\"More info: https://github.com/streamlink/streamlink/issues/{0}\\\".format(issue) raise PluginError(msg) def decorator(*args, **kwargs): return func\",\n \"1080, }, \\\"tv\\\": { \\\"hd\\\": 1080, \\\"sd\\\": 576, }, \\\"quality\\\": { \\\"ehq\\\": 720,\",\n \"priority(cls, url): \\\"\\\"\\\" Return the plugin priority for a given URL, by default\",\n \"can_handle_url(cls, url): raise NotImplementedError @classmethod def set_option(cls, key, value): cls.options.set(key, value) @classmethod def\",\n \"the format *[operator]<value>*. For example the filter \\\">480p\\\" will exclude streams ranked higher\",\n \"50p weight += int(match.group(3)) if match.group(4) == \\\"+\\\": weight += 1 if match.group(5):\",\n \"def parse_url_params(url): split = url.split(\\\" \\\", 1) url = split[0] params = split[1]\",\n \"Added *sorting_excludes* parameter. .. versionchanged:: 1.6.0 *sorting_excludes* can now be a list of\",\n \"Renamed *priority* to *stream_types* and changed behaviour slightly. .. versionchanged:: 1.5.0 Added *sorting_excludes*\",\n \"list of stream types to return. :param sorting_excludes: Specify which streams to exclude\",\n \"stream if it's bad. match = re.match(\\\"([A-z0-9_+]+)\\\", name) if match: name = match.group(1)\",\n \"return stream_weight(stream) @classmethod def default_stream_types(cls, streams): stream_types = [\\\"rtmp\\\", \\\"hls\\\", \\\"hds\\\", \\\"http\\\"] for\",\n \"stream_type: name = \\\"{0}_{1}\\\".format(name, stream_type) if name in streams: name = \\\"{0}_alt\\\".format(name) num_alts\",\n \"\\\"+\\\": weight += 1 if match.group(5): # bit rate classifier for resolution weight\",\n \"the key is the name of the stream, most commonly the quality and\",\n \"import partial from ..cache import Cache from ..exceptions import PluginError, NoStreamsError from ..options\",\n \"= match.group(\\\"op\\\", \\\"value\\\") op = FILTER_OPERATORS.get(op, operator.eq) filter_weight, filter_group = stream_weight(value) def func(quality):\",\n \"making a bitrate's # weight end up similar to the weight of a\",\n \"= list(filter(filter_func, sorted_streams)) elif callable(sorting_excludes): sorted_streams = list(filter(sorting_excludes, sorted_streams)) final_sorted_streams = OrderedDict() for\",\n \"the list used in the synonyms ranking. Valid operators are >, >=, <\",\n \"Add streams depending on stream type and priorities sorted_streams = sorted(iterate_streams(ostreams), key=partial(stream_type_priority, stream_types))\",\n \"ValueError) as err: raise PluginError(err) if not ostreams: return {} if stream_types is\",\n \"streams if num_alts >= 2: continue elif num_alts > 0: name = \\\"{0}{1}\\\".format(name,\",\n \"key): return cls.options.get(key) @classmethod def stream_weight(cls, stream): return stream_weight(stream) @classmethod def default_stream_types(cls, streams):\",\n \"\\\"hls\\\", \\\"hds\\\", \\\"http\\\"] for name, stream in iterate_streams(streams): stream_type = type(stream).shortname() if stream_type\",\n \"bind(cls, session, module): cls.cache = Cache(filename=\\\"plugin-cache.json\\\", key_prefix=module) cls.logger = session.logger.new_module(\\\"plugin.\\\" + module) cls.module\",\n \"type(stream).shortname() if stream_type not in stream_types: stream_types.append(stream_type) return stream_types @classmethod def broken(cls, issue=None):\",\n \"This is a crude attempt at making a bitrate's # weight end up\",\n \"Force lowercase name and replace space with underscore. streams[name.lower()] = stream # Create\",\n \"be a list of filter expressions or a function that is passed to\",\n \"partial from ..cache import Cache from ..exceptions import PluginError, NoStreamsError from ..options import\",\n \"import OrderedDict from functools import partial from ..cache import Cache from ..exceptions import\",\n \"url): \\\"\\\"\\\" Return the plugin priority for a given URL, by default it\",\n \"NO_PRIORITY = 0 def stream_weight(stream): for group, weights in QUALITY_WEIGTHS_EXTRA.items(): if stream in\",\n \"weight += bitrate / BIT_RATE_WEIGHT_RATIO return weight, \\\"bitrate\\\" elif name_type == \\\"p\\\": #\",\n \"1) url = split[0] params = split[1] if len(split) > 1 else ''\",\n \"streams with the same name are found, the order of streams specified in\",\n \"streams depending on stream type and priorities sorted_streams = sorted(iterate_streams(ostreams), key=partial(stream_type_priority, stream_types)) streams\",\n \"stream_types and stream_type not in stream_types: continue # drop _alt from any stream\",\n \"num_alts + 1) # Validate stream name and discard the stream if it's\",\n \"**best** and **worst** which points to the streams which are likely to be\",\n \"not op(weight, filter_weight) return True return func def parse_url_params(url): split = url.split(\\\" \\\",\",\n \"else: self.logger.debug(\\\"The stream '{0}' has been ignored \\\" \\\"since it is badly named.\\\",\",\n \"PluginError(msg) def decorator(*args, **kwargs): return func return decorator @classmethod def priority(cls, url): \\\"\\\"\\\"\",\n \"level \\\"\\\"\\\" return NORMAL_PRIORITY def streams(self, stream_types=None, sorting_excludes=None): \\\"\\\"\\\"Attempts to extract available streams.\",\n \"+= int(match.group(3)) if match.group(4) == \\\"+\\\": weight += 1 if match.group(5): # bit\",\n \"weight, \\\"bitrate\\\" elif name_type == \\\"p\\\": # resolution weight += int(match.group(1)) if match.group(3):\",\n \"list of filter expressions or a function that is passed to filter(). \\\"\\\"\\\"\",\n \"existing_stream_type != stream_type: name = \\\"{0}_{1}\\\".format(name, stream_type) if name in streams: name =\",\n \"fine tuned with the *sorting_excludes* parameter. This can be either of these types:\",\n \"if existing: existing_stream_type = type(existing).shortname() if existing_stream_type != stream_type: name = \\\"{0}_{1}\\\".format(name, stream_type)\",\n \"final_sorted_streams = OrderedDict() for stream_name in sorted(streams, key=stream_weight_only): final_sorted_streams[stream_name] = streams[stream_name] if len(sorted_streams)\",\n \"> 0: best = sorted_streams[-1] worst = sorted_streams[0] final_sorted_streams[\\\"worst\\\"] = streams[worst] final_sorted_streams[\\\"best\\\"] =\",\n \"*args, **kwargs): \\\"\\\"\\\"Deprecated since version 1.9.0. Has been renamed to :func:`Plugin.streams`, this is\",\n \"cache = None logger = None module = \\\"unknown\\\" options = Options() session\",\n \"= list(ostreams) except NoStreamsError: return {} except (IOError, OSError, ValueError) as err: raise\",\n \"cls.options.get(key) @classmethod def stream_weight(cls, stream): return stream_weight(stream) @classmethod def default_stream_types(cls, streams): stream_types =\",\n \"} FILTER_OPERATORS = { \\\"<\\\": operator.lt, \\\"<=\\\": operator.le, \\\">\\\": operator.gt, \\\">=\\\": operator.ge, }\",\n \"= type(existing).shortname() if existing_stream_type != stream_type: name = \\\"{0}_{1}\\\".format(name, stream_type) if name in\",\n \"name = \\\"{0}{1}\\\".format(name, num_alts + 1) # Validate stream name and discard the\",\n \"a crude attempt at making a bitrate's # weight end up similar to\",\n \"= [\\\"rtmp\\\", \\\"hls\\\", \\\"hds\\\", \\\"http\\\"] for name, stream in iterate_streams(streams): stream_type = type(stream).shortname()\",\n \"{} if stream_types is None: stream_types = self.default_stream_types(ostreams) # Add streams depending on\",\n \"will be tested. - A function that is passed to filter() with a\",\n \"broken. This is likely due to \\\" \\\"changes to the service preventing a\",\n \"it is badly named.\\\", name) continue # Force lowercase name and replace space\",\n \"final_sorted_streams def get_streams(self, *args, **kwargs): \\\"\\\"\\\"Deprecated since version 1.9.0. Has been renamed to\",\n \"the plugin will operate on \\\"\\\"\\\" cache = None logger = None module\",\n \"types if \\\"*\\\" not in stream_types and stream_type not in stream_types: continue #\",\n \"return weights[stream], group match = re.match(r\\\"^(\\\\d+)(k|p)?(\\\\d+)?(\\\\+)?(?:_(\\\\d+)k)?(?:_(alt)(\\\\d)?)?$\\\", stream) if match: weight = 0 if\",\n \"# Add streams depending on stream type and priorities sorted_streams = sorted(iterate_streams(ostreams), key=partial(stream_type_priority,\",\n \"stream_weight(stream) @classmethod def default_stream_types(cls, streams): stream_types = [\\\"rtmp\\\", \\\"hls\\\", \\\"hds\\\", \\\"http\\\"] for name,\",\n \"- A list of filter expressions in the format *[operator]<value>*. For example the\",\n \"the weight of a resolution. # Someone who knows math, please fix. BIT_RATE_WEIGHT_RATIO\",\n \"due to \\\" \\\"changes to the service preventing a working implementation. \\\" )\",\n \"the synonyms **best** and **worst** which points to the streams which are likely\",\n \"match.group(7): weight -= ALT_WEIGHT_MOD * int(match.group(7)) else: weight -= ALT_WEIGHT_MOD name_type = match.group(2)\",\n \"weight -= ALT_WEIGHT_MOD name_type = match.group(2) if name_type == \\\"k\\\": # bit rate\",\n \"= re.findall(PARAMS_REGEX, params) for key, value in matches: try: value = ast.literal_eval(value) except\",\n \"as broken. This is likely due to \\\" \\\"changes to the service preventing\",\n \"synonyms **best** and **worst** which points to the streams which are likely to\",\n \"*sorting_excludes* can now be a list of filter expressions or a function that\",\n \"err: raise PluginError(err) if not ostreams: return {} if stream_types is None: stream_types\",\n \"0: best = sorted_streams[-1] worst = sorted_streams[0] final_sorted_streams[\\\"worst\\\"] = streams[worst] final_sorted_streams[\\\"best\\\"] = streams[best]\",\n \"space with underscore. streams[name.lower()] = stream # Create the best/worst synonmys def stream_weight_only(s):\",\n \"if isinstance(ostreams, dict): ostreams = ostreams.items() # Flatten the iterator to a list\",\n \"sorted_streams)) final_sorted_streams = OrderedDict() for stream_name in sorted(streams, key=stream_weight_only): final_sorted_streams[stream_name] = streams[stream_name] if\",\n \"NotImplementedError @classmethod def set_option(cls, key, value): cls.options.set(key, value) @classmethod def get_option(cls, key): return\",\n \"the plugin priority for a given URL, by default it returns NORMAL priority.\",\n \"= ( \\\"This plugin has been marked as broken. This is likely due\",\n \"likely due to \\\" \\\"changes to the service preventing a working implementation. \\\"\",\n \"of streams specified in *stream_types* will determine which stream gets to keep the\",\n \"streams: name = \\\"{0}_alt\\\".format(name) num_alts = len(list(filter(lambda n: n.startswith(name), streams.keys()))) # We shouldn't\",\n \"= sorted(stream_names, key=stream_weight_only) if isinstance(sorting_excludes, list): for expr in sorting_excludes: filter_func = stream_sorting_filter(expr,\",\n \"streams specified in *stream_types* will determine which stream gets to keep the name\",\n \"than 2 alt streams if num_alts >= 2: continue elif num_alts > 0:\",\n \"for sub_stream in stream: yield (name, sub_stream) else: yield (name, stream) def stream_type_priority(stream_types,\",\n \"ast import operator import re from collections import OrderedDict from functools import partial\",\n \"= Options() session = None @classmethod def bind(cls, session, module): cls.cache = Cache(filename=\\\"plugin-cache.json\\\",\",\n \"A list of stream types to return. :param sorting_excludes: Specify which streams to\",\n \"operators are >, >=, < and <=. If no operator is specified then\",\n \"synonyms can be fine tuned with the *sorting_excludes* parameter. This can be either\",\n \"and stream_type not in stream_types: continue # drop _alt from any stream names\",\n \"and <=. If no operator is specified then equality will be tested. -\",\n \"return rval class Plugin(object): \\\"\\\"\\\"A plugin can retrieve stream information from the URL\",\n \"raise NotImplementedError @classmethod def set_option(cls, key, value): cls.options.set(key, value) @classmethod def get_option(cls, key):\",\n \"msg += \\\"More info: https://github.com/streamlink/streamlink/issues/{0}\\\".format(issue) raise PluginError(msg) def decorator(*args, **kwargs): return func return\",\n \"filter_group: return not op(weight, filter_weight) return True return func def parse_url_params(url): split =\",\n \"= \\\"unknown\\\" options = Options() session = None @classmethod def bind(cls, session, module):\",\n \"+= 1 if match.group(5): # bit rate classifier for resolution weight += int(match.group(5))\",\n \"len(sorted_streams) > 0: best = sorted_streams[-1] worst = sorted_streams[0] final_sorted_streams[\\\"worst\\\"] = streams[worst] final_sorted_streams[\\\"best\\\"]\",\n \"ostreams = self._get_streams() if isinstance(ostreams, dict): ostreams = ostreams.items() # Flatten the iterator\",\n \"if ostreams: ostreams = list(ostreams) except NoStreamsError: return {} except (IOError, OSError, ValueError)\",\n \"def stream_weight(cls, stream): return stream_weight(stream) @classmethod def default_stream_types(cls, streams): stream_types = [\\\"rtmp\\\", \\\"hls\\\",\",\n \"\\\"<=\\\": operator.le, \\\">\\\": operator.gt, \\\">=\\\": operator.ge, } PARAMS_REGEX = r\\\"(\\\\w+)=({.+?}|\\\\[.+?\\\\]|\\\\(.+?\\\\)|'(?:[^'\\\\\\\\]|\\\\\\\\')*'|\\\\\\\"(?:[^\\\\\\\"\\\\\\\\]|\\\\\\\\\\\\\\\")*\\\\\\\"|\\\\S+)\\\" HIGH_PRIORITY = 30\",\n \"rval = {} matches = re.findall(PARAMS_REGEX, params) for key, value in matches: try:\",\n \"cls.session = session def __init__(self, url): self.url = url @classmethod def can_handle_url(cls, url):\",\n \"who knows math, please fix. BIT_RATE_WEIGHT_RATIO = 2.8 ALT_WEIGHT_MOD = 0.01 QUALITY_WEIGTHS_EXTRA =\",\n \"url.split(\\\" \\\", 1) url = split[0] params = split[1] if len(split) > 1\",\n \"= session.logger.new_module(\\\"plugin.\\\" + module) cls.module = module cls.session = session def __init__(self, url):\",\n \"to the streams which are likely to be of highest and lowest quality\",\n \"OrderedDict() for stream_name in sorted(streams, key=stream_weight_only): final_sorted_streams[stream_name] = streams[stream_name] if len(sorted_streams) > 0:\",\n \"self.url = url @classmethod def can_handle_url(cls, url): raise NotImplementedError @classmethod def set_option(cls, key,\",\n \"match.group(\\\"op\\\", \\\"value\\\") op = FILTER_OPERATORS.get(op, operator.eq) filter_weight, filter_group = stream_weight(value) def func(quality): weight,\",\n \"filter_group = stream_weight(value) def func(quality): weight, group = stream_weight(quality) if group == filter_group:\",\n \"raise PluginError(\\\"Invalid filter expression: {0}\\\".format(expr)) op, value = match.group(\\\"op\\\", \\\"value\\\") op = FILTER_OPERATORS.get(op,\",\n \"been ignored \\\" \\\"since it is badly named.\\\", name) continue # Force lowercase\",\n \"marked as broken. This is likely due to \\\" \\\"changes to the service\",\n \"list(filter(filter_func, sorted_streams)) elif callable(sorting_excludes): sorted_streams = list(filter(sorting_excludes, sorted_streams)) final_sorted_streams = OrderedDict() for stream_name\",\n \"def func(*args, **kwargs): msg = ( \\\"This plugin has been marked as broken.\",\n \"= name[:-len(\\\"_alt\\\")] existing = streams.get(name) if existing: existing_stream_type = type(existing).shortname() if existing_stream_type !=\",\n \"the name of the stream, most commonly the quality and the value is\",\n \"types: - A list of filter expressions in the format *[operator]<value>*. For example\",\n \"2 alt streams if num_alts >= 2: continue elif num_alts > 0: name\",\n \"def stream_weight(stream): for group, weights in QUALITY_WEIGTHS_EXTRA.items(): if stream in weights: return weights[stream],\",\n \"if not match: raise PluginError(\\\"Invalid filter expression: {0}\\\".format(expr)) op, value = match.group(\\\"op\\\", \\\"value\\\")\",\n \">=, < and <=. If no operator is specified then equality will be\",\n \"and discard the stream if it's bad. match = re.match(\\\"([A-z0-9_+]+)\\\", name) if match:\",\n \"576, \\\"sq\\\": 360, }, } FILTER_OPERATORS = { \\\"<\\\": operator.lt, \\\"<=\\\": operator.le, \\\">\\\":\",\n \"stream_types: continue # drop _alt from any stream names if name.endswith(\\\"_alt\\\"): name =\",\n \"renamed to :func:`Plugin.streams`, this is an alias for backwards compatibility. \\\"\\\"\\\" return self.streams(*args,\",\n \"default_stream_types(cls, streams): stream_types = [\\\"rtmp\\\", \\\"hls\\\", \\\"hds\\\", \\\"http\\\"] for name, stream in iterate_streams(streams):\",\n \"PluginError(err) if not ostreams: return {} if stream_types is None: stream_types = self.default_stream_types(ostreams)\",\n \"\\\"hq\\\": 576, \\\"sq\\\": 360, }, } FILTER_OPERATORS = { \\\"<\\\": operator.lt, \\\"<=\\\": operator.le,\",\n \"while the rest will be renamed to \\\"<name>_<stream type>\\\". The synonyms can be\",\n \"the best/worst synonmys def stream_weight_only(s): return (self.stream_weight(s)[0] or (len(streams) == 1 and 1))\",\n \"match.group(1) else: self.logger.debug(\\\"The stream '{0}' has been ignored \\\" \\\"since it is badly\",\n \"in sorting_excludes: filter_func = stream_sorting_filter(expr, self.stream_weight) sorted_streams = list(filter(filter_func, sorted_streams)) elif callable(sorting_excludes): sorted_streams\",\n \"= {} matches = re.findall(PARAMS_REGEX, params) for key, value in matches: try: value\",\n \"\\\"ehq\\\": 720, \\\"hq\\\": 576, \\\"sq\\\": 360, }, } FILTER_OPERATORS = { \\\"<\\\": operator.lt,\",\n \"priority level \\\"\\\"\\\" return NORMAL_PRIORITY def streams(self, stream_types=None, sorting_excludes=None): \\\"\\\"\\\"Attempts to extract available\",\n \"Create the best/worst synonmys def stream_weight_only(s): return (self.stream_weight(s)[0] or (len(streams) == 1 and\",\n \"A function that is passed to filter() with a list of stream names\",\n \"any stream names if name.endswith(\\\"_alt\\\"): name = name[:-len(\\\"_alt\\\")] existing = streams.get(name) if existing:\",\n \"= session def __init__(self, url): self.url = url @classmethod def can_handle_url(cls, url): raise\",\n \"\\\"unknown\\\" options = Options() session = None @classmethod def bind(cls, session, module): cls.cache\",\n \"synonmys def stream_weight_only(s): return (self.stream_weight(s)[0] or (len(streams) == 1 and 1)) stream_names =\",\n \"Options # FIXME: This is a crude attempt at making a bitrate's #\",\n \"stream_type_priority(stream_types, stream): stream_type = type(stream[1]).shortname() try: prio = stream_types.index(stream_type) except ValueError: try: prio\",\n \"Cache(filename=\\\"plugin-cache.json\\\", key_prefix=module) cls.logger = session.logger.new_module(\\\"plugin.\\\" + module) cls.module = module cls.session = session\",\n \"tested. - A function that is passed to filter() with a list of\",\n \"sorted_streams = list(filter(filter_func, sorted_streams)) elif callable(sorting_excludes): sorted_streams = list(filter(sorting_excludes, sorted_streams)) final_sorted_streams = OrderedDict()\",\n \"re.findall(PARAMS_REGEX, params) for key, value in matches: try: value = ast.literal_eval(value) except Exception:\",\n \"Cache from ..exceptions import PluginError, NoStreamsError from ..options import Options # FIXME: This\",\n \"for group, weights in QUALITY_WEIGTHS_EXTRA.items(): if stream in weights: return weights[stream], group match\",\n \"0, \\\"none\\\" def iterate_streams(streams): for name, stream in streams: if isinstance(stream, list): for\",\n \"to keep the name while the rest will be renamed to \\\"<name>_<stream type>\\\".\",\n \"stream_types = [\\\"rtmp\\\", \\\"hls\\\", \\\"hds\\\", \\\"http\\\"] for name, stream in iterate_streams(streams): stream_type =\",\n \"This is likely due to \\\" \\\"changes to the service preventing a working\",\n \"it returns NORMAL priority. :return: priority level \\\"\\\"\\\" return NORMAL_PRIORITY def streams(self, stream_types=None,\",\n \"the *sorting_excludes* parameter. This can be either of these types: - A list\",\n \"streams[best] return final_sorted_streams def get_streams(self, *args, **kwargs): \\\"\\\"\\\"Deprecated since version 1.9.0. Has been\",\n \"weight += 1 if match.group(5): # bit rate classifier for resolution weight +=\",\n \"\\\"{0}_{1}\\\".format(name, stream_type) if name in streams: name = \\\"{0}_alt\\\".format(name) num_alts = len(list(filter(lambda n:\",\n \"streams[worst] final_sorted_streams[\\\"best\\\"] = streams[best] return final_sorted_streams def get_streams(self, *args, **kwargs): \\\"\\\"\\\"Deprecated since version\",\n \"eg. 60p or 50p weight += int(match.group(3)) if match.group(4) == \\\"+\\\": weight +=\",\n \"/ BIT_RATE_WEIGHT_RATIO return weight, \\\"bitrate\\\" elif name_type == \\\"p\\\": # resolution weight +=\",\n \"\\\"tv\\\": { \\\"hd\\\": 1080, \\\"sd\\\": 576, }, \\\"quality\\\": { \\\"ehq\\\": 720, \\\"hq\\\": 576,\",\n \"broken(cls, issue=None): def func(*args, **kwargs): msg = ( \\\"This plugin has been marked\",\n \"can be either of these types: - A list of filter expressions in\",\n \"def bind(cls, session, module): cls.cache = Cache(filename=\\\"plugin-cache.json\\\", key_prefix=module) cls.logger = session.logger.new_module(\\\"plugin.\\\" + module)\",\n \"= { \\\"<\\\": operator.lt, \\\"<=\\\": operator.le, \\\">\\\": operator.gt, \\\">=\\\": operator.ge, } PARAMS_REGEX =\",\n \"stream types to return. :param sorting_excludes: Specify which streams to exclude from the\",\n \"found, the order of streams specified in *stream_types* will determine which stream gets\",\n \"are >, >=, < and <=. If no operator is specified then equality\",\n \"\\\"hd\\\": 1080, \\\"sd\\\": 576, }, \\\"quality\\\": { \\\"ehq\\\": 720, \\\"hq\\\": 576, \\\"sq\\\": 360,\",\n \"been renamed to :func:`Plugin.streams`, this is an alias for backwards compatibility. \\\"\\\"\\\" return\",\n \"decorator @classmethod def priority(cls, url): \\\"\\\"\\\" Return the plugin priority for a given\",\n \"filter(stream_weight_only, streams.keys()) sorted_streams = sorted(stream_names, key=stream_weight_only) if isinstance(sorting_excludes, list): for expr in sorting_excludes:\",\n \"sub_stream) else: yield (name, stream) def stream_type_priority(stream_types, stream): stream_type = type(stream[1]).shortname() try: prio\",\n \"FILTER_OPERATORS.get(op, operator.eq) filter_weight, filter_group = stream_weight(value) def func(quality): weight, group = stream_weight(quality) if\",\n \"Has been renamed to :func:`Plugin.streams`, this is an alias for backwards compatibility. \\\"\\\"\\\"\",\n \"streams[name.lower()] = stream # Create the best/worst synonmys def stream_weight_only(s): return (self.stream_weight(s)[0] or\",\n \"prio = stream_types.index(stream_type) except ValueError: try: prio = stream_types.index(\\\"*\\\") except ValueError: prio =\",\n \"= re.match(\\\"([A-z0-9_+]+)\\\", name) if match: name = match.group(1) else: self.logger.debug(\\\"The stream '{0}' has\",\n \"weights[stream], group match = re.match(r\\\"^(\\\\d+)(k|p)?(\\\\d+)?(\\\\+)?(?:_(\\\\d+)k)?(?:_(alt)(\\\\d)?)?$\\\", stream) if match: weight = 0 if match.group(6):\",\n \"best/worst synonmys def stream_weight_only(s): return (self.stream_weight(s)[0] or (len(streams) == 1 and 1)) stream_names\",\n \"0 def stream_weight(stream): for group, weights in QUALITY_WEIGTHS_EXTRA.items(): if stream in weights: return\",\n \"{} matches = re.findall(PARAMS_REGEX, params) for key, value in matches: try: value =\",\n \"the filter \\\">480p\\\" will exclude streams ranked higher than \\\"480p\\\" from the list\",\n \"sub_stream in stream: yield (name, sub_stream) else: yield (name, stream) def stream_type_priority(stream_types, stream):\",\n \"collections import OrderedDict from functools import partial from ..cache import Cache from ..exceptions\",\n \"try: value = ast.literal_eval(value) except Exception: pass rval[key] = value return rval class\",\n \"\\\"<\\\": operator.lt, \\\"<=\\\": operator.le, \\\">\\\": operator.gt, \\\">=\\\": operator.ge, } PARAMS_REGEX = r\\\"(\\\\w+)=({.+?}|\\\\[.+?\\\\]|\\\\(.+?\\\\)|'(?:[^'\\\\\\\\]|\\\\\\\\')*'|\\\\\\\"(?:[^\\\\\\\"\\\\\\\\]|\\\\\\\\\\\\\\\")*\\\\\\\"|\\\\S+)\\\" HIGH_PRIORITY\",\n \"\\\"k\\\": # bit rate bitrate = int(match.group(1)) weight += bitrate / BIT_RATE_WEIGHT_RATIO return\",\n \"the best/worst synonyms. .. versionchanged:: 1.4.2 Added *priority* parameter. .. versionchanged:: 1.5.0 Renamed\",\n \"of stream names as input. :param stream_types: A list of stream types to\",\n \"ALT_WEIGHT_MOD name_type = match.group(2) if name_type == \\\"k\\\": # bit rate bitrate =\",\n \"stream_type = type(stream[1]).shortname() try: prio = stream_types.index(stream_type) except ValueError: try: prio = stream_types.index(\\\"*\\\")\",\n \"for expr in sorting_excludes: filter_func = stream_sorting_filter(expr, self.stream_weight) sorted_streams = list(filter(filter_func, sorted_streams)) elif\",\n \"as wildcard to match other stream types if \\\"*\\\" not in stream_types and\",\n \"from the URL specified. :param url: URL that the plugin will operate on\",\n \"= streams.get(name) if existing: existing_stream_type = type(existing).shortname() if existing_stream_type != stream_type: name =\",\n \"a :class:`Stream` object. The result can contain the synonyms **best** and **worst** which\",\n \"badly named.\\\", name) continue # Force lowercase name and replace space with underscore.\",\n \"is a :class:`Stream` object. The result can contain the synonyms **best** and **worst**\",\n \"a resolution. # Someone who knows math, please fix. BIT_RATE_WEIGHT_RATIO = 2.8 ALT_WEIGHT_MOD\",\n \"= 30 NORMAL_PRIORITY = 20 LOW_PRIORITY = 10 NO_PRIORITY = 0 def stream_weight(stream):\",\n \"rest will be renamed to \\\"<name>_<stream type>\\\". The synonyms can be fine tuned\",\n \"= re.match(r\\\"^(\\\\d+)(k|p)?(\\\\d+)?(\\\\+)?(?:_(\\\\d+)k)?(?:_(alt)(\\\\d)?)?$\\\", stream) if match: weight = 0 if match.group(6): if match.group(7): weight\",\n \"def stream_type_priority(stream_types, stream): stream_type = type(stream[1]).shortname() try: prio = stream_types.index(stream_type) except ValueError: try:\",\n \"best = sorted_streams[-1] worst = sorted_streams[0] final_sorted_streams[\\\"worst\\\"] = streams[worst] final_sorted_streams[\\\"best\\\"] = streams[best] return\",\n \"= { \\\"other\\\": { \\\"live\\\": 1080, }, \\\"tv\\\": { \\\"hd\\\": 1080, \\\"sd\\\": 576,\",\n \"return (self.stream_weight(s)[0] or (len(streams) == 1 and 1)) stream_names = filter(stream_weight_only, streams.keys()) sorted_streams\",\n \"\\\"More info: https://github.com/streamlink/streamlink/issues/{0}\\\".format(issue) raise PluginError(msg) def decorator(*args, **kwargs): return func return decorator @classmethod\",\n \"prio = 99 return prio def stream_sorting_filter(expr, stream_weight): match = re.match(r\\\"(?P<op><=|>=|<|>)?(?P<value>[\\\\w+]+)\\\", expr) if\",\n \"sorted_streams = list(filter(sorting_excludes, sorted_streams)) final_sorted_streams = OrderedDict() for stream_name in sorted(streams, key=stream_weight_only): final_sorted_streams[stream_name]\",\n \"is passed to filter() with a list of stream names as input. :param\",\n \"stream_weight(quality) if group == filter_group: return not op(weight, filter_weight) return True return func\",\n \"Specify which streams to exclude from the best/worst synonyms. .. versionchanged:: 1.4.2 Added\",\n \"name are found, the order of streams specified in *stream_types* will determine which\",\n \"stream in streams: if isinstance(stream, list): for sub_stream in stream: yield (name, sub_stream)\",\n \"with the *sorting_excludes* parameter. This can be either of these types: - A\",\n \"for key, value in matches: try: value = ast.literal_eval(value) except Exception: pass rval[key]\",\n \"stream in weights: return weights[stream], group match = re.match(r\\\"^(\\\\d+)(k|p)?(\\\\d+)?(\\\\+)?(?:_(\\\\d+)k)?(?:_(alt)(\\\\d)?)?$\\\", stream) if match: weight\",\n \"ostreams: ostreams = list(ostreams) except NoStreamsError: return {} except (IOError, OSError, ValueError) as\",\n \"has been ignored \\\" \\\"since it is badly named.\\\", name) continue # Force\",\n \"OrderedDict from functools import partial from ..cache import Cache from ..exceptions import PluginError,\",\n \"elif callable(sorting_excludes): sorted_streams = list(filter(sorting_excludes, sorted_streams)) final_sorted_streams = OrderedDict() for stream_name in sorted(streams,\",\n \"final_sorted_streams[stream_name] = streams[stream_name] if len(sorted_streams) > 0: best = sorted_streams[-1] worst = sorted_streams[0]\",\n \"synonyms ranking. Valid operators are >, >=, < and <=. If no operator\",\n \"that is passed to filter(). \\\"\\\"\\\" try: ostreams = self._get_streams() if isinstance(ostreams, dict):\",\n \"which stream gets to keep the name while the rest will be renamed\",\n \"else: yield (name, stream) def stream_type_priority(stream_types, stream): stream_type = type(stream[1]).shortname() try: prio =\",\n \"expressions in the format *[operator]<value>*. For example the filter \\\">480p\\\" will exclude streams\",\n \"format *[operator]<value>*. For example the filter \\\">480p\\\" will exclude streams ranked higher than\",\n \"return {} except (IOError, OSError, ValueError) as err: raise PluginError(err) if not ostreams:\",\n \"can retrieve stream information from the URL specified. :param url: URL that the\",\n \"60p or 50p weight += int(match.group(3)) if match.group(4) == \\\"+\\\": weight += 1\",\n \"value): cls.options.set(key, value) @classmethod def get_option(cls, key): return cls.options.get(key) @classmethod def stream_weight(cls, stream):\",\n \"sorted_streams = sorted(iterate_streams(ostreams), key=partial(stream_type_priority, stream_types)) streams = {} for name, stream in sorted_streams:\",\n \"Flatten the iterator to a list so we can reuse it. if ostreams:\",\n \"name and replace space with underscore. streams[name.lower()] = stream # Create the best/worst\",\n \"except ValueError: try: prio = stream_types.index(\\\"*\\\") except ValueError: prio = 99 return prio\",\n \"depending on stream type and priorities sorted_streams = sorted(iterate_streams(ostreams), key=partial(stream_type_priority, stream_types)) streams =\",\n \"stream type and priorities sorted_streams = sorted(iterate_streams(ostreams), key=partial(stream_type_priority, stream_types)) streams = {} for\",\n \"\\\"http\\\"] for name, stream in iterate_streams(streams): stream_type = type(stream).shortname() if stream_type not in\",\n \"version 1.9.0. Has been renamed to :func:`Plugin.streams`, this is an alias for backwards\",\n \"determine which stream gets to keep the name while the rest will be\",\n \"from the list used in the synonyms ranking. Valid operators are >, >=,\",\n \"QUALITY_WEIGTHS_EXTRA = { \\\"other\\\": { \\\"live\\\": 1080, }, \\\"tv\\\": { \\\"hd\\\": 1080, \\\"sd\\\":\",\n \"stream_types @classmethod def broken(cls, issue=None): def func(*args, **kwargs): msg = ( \\\"This plugin\",\n \"@classmethod def set_option(cls, key, value): cls.options.set(key, value) @classmethod def get_option(cls, key): return cls.options.get(key)\",\n \"streams(self, stream_types=None, sorting_excludes=None): \\\"\\\"\\\"Attempts to extract available streams. Returns a :class:`dict` containing the\",\n \":return: priority level \\\"\\\"\\\" return NORMAL_PRIORITY def streams(self, stream_types=None, sorting_excludes=None): \\\"\\\"\\\"Attempts to extract\",\n \"weight += int(match.group(3)) if match.group(4) == \\\"+\\\": weight += 1 if match.group(5): #\",\n \"re.match(r\\\"(?P<op><=|>=|<|>)?(?P<value>[\\\\w+]+)\\\", expr) if not match: raise PluginError(\\\"Invalid filter expression: {0}\\\".format(expr)) op, value =\",\n \"bit rate classifier for resolution weight += int(match.group(5)) / BIT_RATE_WEIGHT_RATIO return weight, \\\"pixels\\\"\",\n \"num_alts > 0: name = \\\"{0}{1}\\\".format(name, num_alts + 1) # Validate stream name\",\n \"stream '{0}' has been ignored \\\" \\\"since it is badly named.\\\", name) continue\",\n \"elif num_alts > 0: name = \\\"{0}{1}\\\".format(name, num_alts + 1) # Validate stream\",\n \"stream_sorting_filter(expr, self.stream_weight) sorted_streams = list(filter(filter_func, sorted_streams)) elif callable(sorting_excludes): sorted_streams = list(filter(sorting_excludes, sorted_streams)) final_sorted_streams\",\n \"/ BIT_RATE_WEIGHT_RATIO return weight, \\\"pixels\\\" return 0, \\\"none\\\" def iterate_streams(streams): for name, stream\",\n \"can reuse it. if ostreams: ostreams = list(ostreams) except NoStreamsError: return {} except\",\n \"@classmethod def broken(cls, issue=None): def func(*args, **kwargs): msg = ( \\\"This plugin has\",\n \"is the name of the stream, most commonly the quality and the value\",\n \"lowest quality respectively. If multiple streams with the same name are found, the\",\n \"= re.match(r\\\"(?P<op><=|>=|<|>)?(?P<value>[\\\\w+]+)\\\", expr) if not match: raise PluginError(\\\"Invalid filter expression: {0}\\\".format(expr)) op, value\",\n \"to extract available streams. Returns a :class:`dict` containing the streams, where the key\",\n \"name = name[:-len(\\\"_alt\\\")] existing = streams.get(name) if existing: existing_stream_type = type(existing).shortname() if existing_stream_type\",\n \"in streams: if isinstance(stream, list): for sub_stream in stream: yield (name, sub_stream) else:\",\n \"\\\" \\\"since it is badly named.\\\", name) continue # Force lowercase name and\",\n \"\\\"since it is badly named.\\\", name) continue # Force lowercase name and replace\",\n \"(len(streams) == 1 and 1)) stream_names = filter(stream_weight_only, streams.keys()) sorted_streams = sorted(stream_names, key=stream_weight_only)\",\n \"\\\"*\\\" not in stream_types and stream_type not in stream_types: continue # drop _alt\",\n \"= url.split(\\\" \\\", 1) url = split[0] params = split[1] if len(split) >\",\n \"example the filter \\\">480p\\\" will exclude streams ranked higher than \\\"480p\\\" from the\",\n \"stream_types: A list of stream types to return. :param sorting_excludes: Specify which streams\",\n \"stream): return stream_weight(stream) @classmethod def default_stream_types(cls, streams): stream_types = [\\\"rtmp\\\", \\\"hls\\\", \\\"hds\\\", \\\"http\\\"]\",\n \"params = split[1] if len(split) > 1 else '' return url, parse_params(params) def\",\n \"# Someone who knows math, please fix. BIT_RATE_WEIGHT_RATIO = 2.8 ALT_WEIGHT_MOD = 0.01\",\n \"return weight, \\\"bitrate\\\" elif name_type == \\\"p\\\": # resolution weight += int(match.group(1)) if\",\n \"msg = ( \\\"This plugin has been marked as broken. This is likely\",\n \"try: ostreams = self._get_streams() if isinstance(ostreams, dict): ostreams = ostreams.items() # Flatten the\",\n \"= self._get_streams() if isinstance(ostreams, dict): ostreams = ostreams.items() # Flatten the iterator to\",\n \"isinstance(ostreams, dict): ostreams = ostreams.items() # Flatten the iterator to a list so\",\n \"as err: raise PluginError(err) if not ostreams: return {} if stream_types is None:\",\n \"in iterate_streams(streams): stream_type = type(stream).shortname() if stream_type not in stream_types: stream_types.append(stream_type) return stream_types\",\n \"operate on \\\"\\\"\\\" cache = None logger = None module = \\\"unknown\\\" options\",\n \"sorting_excludes=None): \\\"\\\"\\\"Attempts to extract available streams. Returns a :class:`dict` containing the streams, where\",\n \"priority. :return: priority level \\\"\\\"\\\" return NORMAL_PRIORITY def streams(self, stream_types=None, sorting_excludes=None): \\\"\\\"\\\"Attempts to\",\n \"type(existing).shortname() if existing_stream_type != stream_type: name = \\\"{0}_{1}\\\".format(name, stream_type) if name in streams:\",\n \"existing: existing_stream_type = type(existing).shortname() if existing_stream_type != stream_type: name = \\\"{0}_{1}\\\".format(name, stream_type) if\",\n \"from ..options import Options # FIXME: This is a crude attempt at making\",\n \"stream_names = filter(stream_weight_only, streams.keys()) sorted_streams = sorted(stream_names, key=stream_weight_only) if isinstance(sorting_excludes, list): for expr\",\n \"in matches: try: value = ast.literal_eval(value) except Exception: pass rval[key] = value return\",\n \">, >=, < and <=. If no operator is specified then equality will\",\n \"name, stream in sorted_streams: stream_type = type(stream).shortname() # Use * as wildcard to\",\n \"cls.options.set(key, value) @classmethod def get_option(cls, key): return cls.options.get(key) @classmethod def stream_weight(cls, stream): return\",\n \"name = \\\"{0}_{1}\\\".format(name, stream_type) if name in streams: name = \\\"{0}_alt\\\".format(name) num_alts =\",\n \"stream_name in sorted(streams, key=stream_weight_only): final_sorted_streams[stream_name] = streams[stream_name] if len(sorted_streams) > 0: best =\",\n \"= ostreams.items() # Flatten the iterator to a list so we can reuse\",\n \"\\\"480p\\\" from the list used in the synonyms ranking. Valid operators are >,\",\n \"ostreams = ostreams.items() # Flatten the iterator to a list so we can\",\n \"synonyms. .. versionchanged:: 1.4.2 Added *priority* parameter. .. versionchanged:: 1.5.0 Renamed *priority* to\",\n \"return True return func def parse_url_params(url): split = url.split(\\\" \\\", 1) url =\",\n \"stream_type = type(stream).shortname() # Use * as wildcard to match other stream types\",\n \"parse_params(params): rval = {} matches = re.findall(PARAMS_REGEX, params) for key, value in matches:\",\n \"except NoStreamsError: return {} except (IOError, OSError, ValueError) as err: raise PluginError(err) if\",\n \"worst = sorted_streams[0] final_sorted_streams[\\\"worst\\\"] = streams[worst] final_sorted_streams[\\\"best\\\"] = streams[best] return final_sorted_streams def get_streams(self,\",\n \"= sorted_streams[0] final_sorted_streams[\\\"worst\\\"] = streams[worst] final_sorted_streams[\\\"best\\\"] = streams[best] return final_sorted_streams def get_streams(self, *args,\",\n \"be renamed to \\\"<name>_<stream type>\\\". The synonyms can be fine tuned with the\",\n \"= OrderedDict() for stream_name in sorted(streams, key=stream_weight_only): final_sorted_streams[stream_name] = streams[stream_name] if len(sorted_streams) >\",\n \"split = url.split(\\\" \\\", 1) url = split[0] params = split[1] if len(split)\",\n \"the iterator to a list so we can reuse it. if ostreams: ostreams\",\n \"# resolution weight += int(match.group(1)) if match.group(3): # fps eg. 60p or 50p\",\n \"* as wildcard to match other stream types if \\\"*\\\" not in stream_types\",\n \"# Validate stream name and discard the stream if it's bad. match =\",\n \"= filter(stream_weight_only, streams.keys()) sorted_streams = sorted(stream_names, key=stream_weight_only) if isinstance(sorting_excludes, list): for expr in\",\n \"an alias for backwards compatibility. \\\"\\\"\\\" return self.streams(*args, **kwargs) def _get_streams(self): raise NotImplementedError\",\n \"and changed behaviour slightly. .. versionchanged:: 1.5.0 Added *sorting_excludes* parameter. .. versionchanged:: 1.6.0\",\n \"}, \\\"tv\\\": { \\\"hd\\\": 1080, \\\"sd\\\": 576, }, \\\"quality\\\": { \\\"ehq\\\": 720, \\\"hq\\\":\",\n \"and replace space with underscore. streams[name.lower()] = stream # Create the best/worst synonmys\",\n \"filter(). \\\"\\\"\\\" try: ostreams = self._get_streams() if isinstance(ostreams, dict): ostreams = ostreams.items() #\",\n \"# fps eg. 60p or 50p weight += int(match.group(3)) if match.group(4) == \\\"+\\\":\",\n \"return stream_types @classmethod def broken(cls, issue=None): def func(*args, **kwargs): msg = ( \\\"This\",\n \"or 50p weight += int(match.group(3)) if match.group(4) == \\\"+\\\": weight += 1 if\",\n \"= stream_weight(quality) if group == filter_group: return not op(weight, filter_weight) return True return\",\n \"if num_alts >= 2: continue elif num_alts > 0: name = \\\"{0}{1}\\\".format(name, num_alts\",\n \"name and discard the stream if it's bad. match = re.match(\\\"([A-z0-9_+]+)\\\", name) if\",\n \"stream_types.index(\\\"*\\\") except ValueError: prio = 99 return prio def stream_sorting_filter(expr, stream_weight): match =\",\n \"specified. :param url: URL that the plugin will operate on \\\"\\\"\\\" cache =\",\n \"1.5.0 Added *sorting_excludes* parameter. .. versionchanged:: 1.6.0 *sorting_excludes* can now be a list\",\n \"gets to keep the name while the rest will be renamed to \\\"<name>_<stream\",\n \"else: weight -= ALT_WEIGHT_MOD name_type = match.group(2) if name_type == \\\"k\\\": # bit\",\n \"streams.keys()) sorted_streams = sorted(stream_names, key=stream_weight_only) if isinstance(sorting_excludes, list): for expr in sorting_excludes: filter_func\",\n \"other stream types if \\\"*\\\" not in stream_types and stream_type not in stream_types:\",\n \"{ \\\"<\\\": operator.lt, \\\"<=\\\": operator.le, \\\">\\\": operator.gt, \\\">=\\\": operator.ge, } PARAMS_REGEX = r\\\"(\\\\w+)=({.+?}|\\\\[.+?\\\\]|\\\\(.+?\\\\)|'(?:[^'\\\\\\\\]|\\\\\\\\')*'|\\\\\\\"(?:[^\\\\\\\"\\\\\\\\]|\\\\\\\\\\\\\\\")*\\\\\\\"|\\\\S+)\\\"\",\n \"(name, stream) def stream_type_priority(stream_types, stream): stream_type = type(stream[1]).shortname() try: prio = stream_types.index(stream_type) except\",\n \"names if name.endswith(\\\"_alt\\\"): name = name[:-len(\\\"_alt\\\")] existing = streams.get(name) if existing: existing_stream_type =\",\n \"the streams, where the key is the name of the stream, most commonly\",\n \"r\\\"(\\\\w+)=({.+?}|\\\\[.+?\\\\]|\\\\(.+?\\\\)|'(?:[^'\\\\\\\\]|\\\\\\\\')*'|\\\\\\\"(?:[^\\\\\\\"\\\\\\\\]|\\\\\\\\\\\\\\\")*\\\\\\\"|\\\\S+)\\\" HIGH_PRIORITY = 30 NORMAL_PRIORITY = 20 LOW_PRIORITY = 10 NO_PRIORITY = 0\",\n \"return 0, \\\"none\\\" def iterate_streams(streams): for name, stream in streams: if isinstance(stream, list):\",\n \"has been marked as broken. This is likely due to \\\" \\\"changes to\",\n \"URL, by default it returns NORMAL priority. :return: priority level \\\"\\\"\\\" return NORMAL_PRIORITY\",\n \"\\\"pixels\\\" return 0, \\\"none\\\" def iterate_streams(streams): for name, stream in streams: if isinstance(stream,\",\n \"1 if match.group(5): # bit rate classifier for resolution weight += int(match.group(5)) /\",\n \"= 20 LOW_PRIORITY = 10 NO_PRIORITY = 0 def stream_weight(stream): for group, weights\",\n \"10 NO_PRIORITY = 0 def stream_weight(stream): for group, weights in QUALITY_WEIGTHS_EXTRA.items(): if stream\",\n \".. versionchanged:: 1.5.0 Renamed *priority* to *stream_types* and changed behaviour slightly. .. versionchanged::\",\n \"quality and the value is a :class:`Stream` object. The result can contain the\",\n \"= int(match.group(1)) weight += bitrate / BIT_RATE_WEIGHT_RATIO return weight, \\\"bitrate\\\" elif name_type ==\",\n \"split[1] if len(split) > 1 else '' return url, parse_params(params) def parse_params(params): rval\",\n \"PluginError, NoStreamsError from ..options import Options # FIXME: This is a crude attempt\",\n \"if not ostreams: return {} if stream_types is None: stream_types = self.default_stream_types(ostreams) #\",\n \"streams.keys()))) # We shouldn't need more than 2 alt streams if num_alts >=\",\n \"the synonyms ranking. Valid operators are >, >=, < and <=. If no\",\n \"def can_handle_url(cls, url): raise NotImplementedError @classmethod def set_option(cls, key, value): cls.options.set(key, value) @classmethod\",\n \"that the plugin will operate on \\\"\\\"\\\" cache = None logger = None\",\n \"func(*args, **kwargs): msg = ( \\\"This plugin has been marked as broken. This\",\n \"= url @classmethod def can_handle_url(cls, url): raise NotImplementedError @classmethod def set_option(cls, key, value):\",\n \"def stream_sorting_filter(expr, stream_weight): match = re.match(r\\\"(?P<op><=|>=|<|>)?(?P<value>[\\\\w+]+)\\\", expr) if not match: raise PluginError(\\\"Invalid filter\",\n \"be either of these types: - A list of filter expressions in the\",\n \"\\\"quality\\\": { \\\"ehq\\\": 720, \\\"hq\\\": 576, \\\"sq\\\": 360, }, } FILTER_OPERATORS = {\",\n \"expressions or a function that is passed to filter(). \\\"\\\"\\\" try: ostreams =\",\n \"weight end up similar to the weight of a resolution. # Someone who\",\n \"stream): stream_type = type(stream[1]).shortname() try: prio = stream_types.index(stream_type) except ValueError: try: prio =\",\n \"of a resolution. # Someone who knows math, please fix. BIT_RATE_WEIGHT_RATIO = 2.8\",\n \":param sorting_excludes: Specify which streams to exclude from the best/worst synonyms. .. versionchanged::\",\n \"if isinstance(stream, list): for sub_stream in stream: yield (name, sub_stream) else: yield (name,\",\n \"def func(quality): weight, group = stream_weight(quality) if group == filter_group: return not op(weight,\",\n \"if len(sorted_streams) > 0: best = sorted_streams[-1] worst = sorted_streams[0] final_sorted_streams[\\\"worst\\\"] = streams[worst]\",\n \"streams): stream_types = [\\\"rtmp\\\", \\\"hls\\\", \\\"hds\\\", \\\"http\\\"] for name, stream in iterate_streams(streams): stream_type\",\n \"== \\\"+\\\": weight += 1 if match.group(5): # bit rate classifier for resolution\",\n \"module) cls.module = module cls.session = session def __init__(self, url): self.url = url\",\n \"tuned with the *sorting_excludes* parameter. This can be either of these types: -\",\n \"on \\\"\\\"\\\" cache = None logger = None module = \\\"unknown\\\" options =\",\n \"except Exception: pass rval[key] = value return rval class Plugin(object): \\\"\\\"\\\"A plugin can\",\n \"types to return. :param sorting_excludes: Specify which streams to exclude from the best/worst\",\n \"ranking. Valid operators are >, >=, < and <=. If no operator is\",\n \"stream names as input. :param stream_types: A list of stream types to return.\",\n \"= 2.8 ALT_WEIGHT_MOD = 0.01 QUALITY_WEIGTHS_EXTRA = { \\\"other\\\": { \\\"live\\\": 1080, },\",\n \">= 2: continue elif num_alts > 0: name = \\\"{0}{1}\\\".format(name, num_alts + 1)\",\n \"self.stream_weight) sorted_streams = list(filter(filter_func, sorted_streams)) elif callable(sorting_excludes): sorted_streams = list(filter(sorting_excludes, sorted_streams)) final_sorted_streams =\",\n \"key=stream_weight_only) if isinstance(sorting_excludes, list): for expr in sorting_excludes: filter_func = stream_sorting_filter(expr, self.stream_weight) sorted_streams\",\n \"*stream_types* and changed behaviour slightly. .. versionchanged:: 1.5.0 Added *sorting_excludes* parameter. .. versionchanged::\",\n \"stream_types is None: stream_types = self.default_stream_types(ostreams) # Add streams depending on stream type\",\n \"in QUALITY_WEIGTHS_EXTRA.items(): if stream in weights: return weights[stream], group match = re.match(r\\\"^(\\\\d+)(k|p)?(\\\\d+)?(\\\\+)?(?:_(\\\\d+)k)?(?:_(alt)(\\\\d)?)?$\\\", stream)\",\n \"FIXME: This is a crude attempt at making a bitrate's # weight end\",\n \"filter expressions or a function that is passed to filter(). \\\"\\\"\\\" try: ostreams\",\n \"if \\\"*\\\" not in stream_types and stream_type not in stream_types: continue # drop\",\n \"We shouldn't need more than 2 alt streams if num_alts >= 2: continue\",\n \"= match.group(2) if name_type == \\\"k\\\": # bit rate bitrate = int(match.group(1)) weight\",\n \"list of filter expressions in the format *[operator]<value>*. For example the filter \\\">480p\\\"\",\n \"if match.group(7): weight -= ALT_WEIGHT_MOD * int(match.group(7)) else: weight -= ALT_WEIGHT_MOD name_type =\",\n \"ALT_WEIGHT_MOD * int(match.group(7)) else: weight -= ALT_WEIGHT_MOD name_type = match.group(2) if name_type ==\",\n \"= type(stream).shortname() # Use * as wildcard to match other stream types if\",\n \"quality respectively. If multiple streams with the same name are found, the order\",\n \"exclude streams ranked higher than \\\"480p\\\" from the list used in the synonyms\",\n \"be fine tuned with the *sorting_excludes* parameter. This can be either of these\",\n \"of filter expressions or a function that is passed to filter(). \\\"\\\"\\\" try:\",\n \"= self.default_stream_types(ostreams) # Add streams depending on stream type and priorities sorted_streams =\",\n \"can now be a list of filter expressions or a function that is\",\n \"math, please fix. BIT_RATE_WEIGHT_RATIO = 2.8 ALT_WEIGHT_MOD = 0.01 QUALITY_WEIGTHS_EXTRA = { \\\"other\\\":\",\n \"re.match(\\\"([A-z0-9_+]+)\\\", name) if match: name = match.group(1) else: self.logger.debug(\\\"The stream '{0}' has been\",\n \"is a crude attempt at making a bitrate's # weight end up similar\",\n \"cls.module = module cls.session = session def __init__(self, url): self.url = url @classmethod\",\n \"knows math, please fix. BIT_RATE_WEIGHT_RATIO = 2.8 ALT_WEIGHT_MOD = 0.01 QUALITY_WEIGTHS_EXTRA = {\",\n \"int(match.group(7)) else: weight -= ALT_WEIGHT_MOD name_type = match.group(2) if name_type == \\\"k\\\": #\",\n \"bitrate = int(match.group(1)) weight += bitrate / BIT_RATE_WEIGHT_RATIO return weight, \\\"bitrate\\\" elif name_type\",\n \"If no operator is specified then equality will be tested. - A function\",\n \"to a list so we can reuse it. if ostreams: ostreams = list(ostreams)\",\n \"with a list of stream names as input. :param stream_types: A list of\",\n \"from ..cache import Cache from ..exceptions import PluginError, NoStreamsError from ..options import Options\",\n \"FILTER_OPERATORS = { \\\"<\\\": operator.lt, \\\"<=\\\": operator.le, \\\">\\\": operator.gt, \\\">=\\\": operator.ge, } PARAMS_REGEX\",\n \"is specified then equality will be tested. - A function that is passed\",\n \"plugin priority for a given URL, by default it returns NORMAL priority. :return:\",\n \"}, \\\"quality\\\": { \\\"ehq\\\": 720, \\\"hq\\\": 576, \\\"sq\\\": 360, }, } FILTER_OPERATORS =\",\n \"stream information from the URL specified. :param url: URL that the plugin will\",\n \"else '' return url, parse_params(params) def parse_params(params): rval = {} matches = re.findall(PARAMS_REGEX,\",\n \"- A function that is passed to filter() with a list of stream\",\n \"parse_params(params) def parse_params(params): rval = {} matches = re.findall(PARAMS_REGEX, params) for key, value\",\n \"passed to filter(). \\\"\\\"\\\" try: ostreams = self._get_streams() if isinstance(ostreams, dict): ostreams =\",\n \"# Flatten the iterator to a list so we can reuse it. if\",\n \":class:`Stream` object. The result can contain the synonyms **best** and **worst** which points\",\n \"of filter expressions in the format *[operator]<value>*. For example the filter \\\">480p\\\" will\",\n \"PARAMS_REGEX = r\\\"(\\\\w+)=({.+?}|\\\\[.+?\\\\]|\\\\(.+?\\\\)|'(?:[^'\\\\\\\\]|\\\\\\\\')*'|\\\\\\\"(?:[^\\\\\\\"\\\\\\\\]|\\\\\\\\\\\\\\\")*\\\\\\\"|\\\\S+)\\\" HIGH_PRIORITY = 30 NORMAL_PRIORITY = 20 LOW_PRIORITY = 10 NO_PRIORITY\",\n \"the stream, most commonly the quality and the value is a :class:`Stream` object.\",\n \"raise PluginError(err) if not ostreams: return {} if stream_types is None: stream_types =\",\n \"continue # Force lowercase name and replace space with underscore. streams[name.lower()] = stream\",\n \"since version 1.9.0. Has been renamed to :func:`Plugin.streams`, this is an alias for\",\n \"if name.endswith(\\\"_alt\\\"): name = name[:-len(\\\"_alt\\\")] existing = streams.get(name) if existing: existing_stream_type = type(existing).shortname()\",\n \"a function that is passed to filter(). \\\"\\\"\\\" try: ostreams = self._get_streams() if\",\n \"if group == filter_group: return not op(weight, filter_weight) return True return func def\",\n \"not in stream_types: continue # drop _alt from any stream names if name.endswith(\\\"_alt\\\"):\",\n \"streams. Returns a :class:`dict` containing the streams, where the key is the name\",\n \"except ValueError: prio = 99 return prio def stream_sorting_filter(expr, stream_weight): match = re.match(r\\\"(?P<op><=|>=|<|>)?(?P<value>[\\\\w+]+)\\\",\",\n \"streams to exclude from the best/worst synonyms. .. versionchanged:: 1.4.2 Added *priority* parameter.\",\n \"is passed to filter(). \\\"\\\"\\\" try: ostreams = self._get_streams() if isinstance(ostreams, dict): ostreams\",\n \"url): raise NotImplementedError @classmethod def set_option(cls, key, value): cls.options.set(key, value) @classmethod def get_option(cls,\",\n \"except (IOError, OSError, ValueError) as err: raise PluginError(err) if not ostreams: return {}\",\n \"name, stream in iterate_streams(streams): stream_type = type(stream).shortname() if stream_type not in stream_types: stream_types.append(stream_type)\",\n \"a given URL, by default it returns NORMAL priority. :return: priority level \\\"\\\"\\\"\",\n \"to \\\"<name>_<stream type>\\\". The synonyms can be fine tuned with the *sorting_excludes* parameter.\",\n \"ostreams = list(ostreams) except NoStreamsError: return {} except (IOError, OSError, ValueError) as err:\",\n \"n.startswith(name), streams.keys()))) # We shouldn't need more than 2 alt streams if num_alts\",\n \"-= ALT_WEIGHT_MOD name_type = match.group(2) if name_type == \\\"k\\\": # bit rate bitrate\",\n \"operator.le, \\\">\\\": operator.gt, \\\">=\\\": operator.ge, } PARAMS_REGEX = r\\\"(\\\\w+)=({.+?}|\\\\[.+?\\\\]|\\\\(.+?\\\\)|'(?:[^'\\\\\\\\]|\\\\\\\\')*'|\\\\\\\"(?:[^\\\\\\\"\\\\\\\\]|\\\\\\\\\\\\\\\")*\\\\\\\"|\\\\S+)\\\" HIGH_PRIORITY = 30 NORMAL_PRIORITY\",\n \"from the best/worst synonyms. .. versionchanged:: 1.4.2 Added *priority* parameter. .. versionchanged:: 1.5.0\",\n \"so we can reuse it. if ostreams: ostreams = list(ostreams) except NoStreamsError: return\",\n \"def broken(cls, issue=None): def func(*args, **kwargs): msg = ( \\\"This plugin has been\",\n \"streams, where the key is the name of the stream, most commonly the\",\n \"which points to the streams which are likely to be of highest and\",\n \"class Plugin(object): \\\"\\\"\\\"A plugin can retrieve stream information from the URL specified. :param\",\n \"360, }, } FILTER_OPERATORS = { \\\"<\\\": operator.lt, \\\"<=\\\": operator.le, \\\">\\\": operator.gt, \\\">=\\\":\",\n \"\\\", 1) url = split[0] params = split[1] if len(split) > 1 else\",\n \"@classmethod def stream_weight(cls, stream): return stream_weight(stream) @classmethod def default_stream_types(cls, streams): stream_types = [\\\"rtmp\\\",\",\n \"url: URL that the plugin will operate on \\\"\\\"\\\" cache = None logger\",\n \"classifier for resolution weight += int(match.group(5)) / BIT_RATE_WEIGHT_RATIO return weight, \\\"pixels\\\" return 0,\",\n \"keep the name while the rest will be renamed to \\\"<name>_<stream type>\\\". The\",\n \"@classmethod def priority(cls, url): \\\"\\\"\\\" Return the plugin priority for a given URL,\",\n \"match.group(2) if name_type == \\\"k\\\": # bit rate bitrate = int(match.group(1)) weight +=\",\n \"attempt at making a bitrate's # weight end up similar to the weight\",\n \"matches: try: value = ast.literal_eval(value) except Exception: pass rval[key] = value return rval\",\n \"value return rval class Plugin(object): \\\"\\\"\\\"A plugin can retrieve stream information from the\",\n \"*stream_types* will determine which stream gets to keep the name while the rest\",\n \"{} except (IOError, OSError, ValueError) as err: raise PluginError(err) if not ostreams: return\",\n \"either of these types: - A list of filter expressions in the format\",\n \"ALT_WEIGHT_MOD = 0.01 QUALITY_WEIGTHS_EXTRA = { \\\"other\\\": { \\\"live\\\": 1080, }, \\\"tv\\\": {\",\n \"underscore. streams[name.lower()] = stream # Create the best/worst synonmys def stream_weight_only(s): return (self.stream_weight(s)[0]\",\n \"are likely to be of highest and lowest quality respectively. If multiple streams\",\n \"prio = stream_types.index(\\\"*\\\") except ValueError: prio = 99 return prio def stream_sorting_filter(expr, stream_weight):\",\n \"> 1 else '' return url, parse_params(params) def parse_params(params): rval = {} matches\",\n \"If multiple streams with the same name are found, the order of streams\",\n \"def set_option(cls, key, value): cls.options.set(key, value) @classmethod def get_option(cls, key): return cls.options.get(key) @classmethod\",\n \"set_option(cls, key, value): cls.options.set(key, value) @classmethod def get_option(cls, key): return cls.options.get(key) @classmethod def\",\n \"to *stream_types* and changed behaviour slightly. .. versionchanged:: 1.5.0 Added *sorting_excludes* parameter. ..\",\n \"rval[key] = value return rval class Plugin(object): \\\"\\\"\\\"A plugin can retrieve stream information\",\n \"= module cls.session = session def __init__(self, url): self.url = url @classmethod def\",\n \"for name, stream in streams: if isinstance(stream, list): for sub_stream in stream: yield\",\n \"yield (name, sub_stream) else: yield (name, stream) def stream_type_priority(stream_types, stream): stream_type = type(stream[1]).shortname()\",\n \"dict): ostreams = ostreams.items() # Flatten the iterator to a list so we\",\n \"For example the filter \\\">480p\\\" will exclude streams ranked higher than \\\"480p\\\" from\",\n \"service preventing a working implementation. \\\" ) if issue: msg += \\\"More info:\",\n \"Options() session = None @classmethod def bind(cls, session, module): cls.cache = Cache(filename=\\\"plugin-cache.json\\\", key_prefix=module)\",\n \"30 NORMAL_PRIORITY = 20 LOW_PRIORITY = 10 NO_PRIORITY = 0 def stream_weight(stream): for\",\n \"https://github.com/streamlink/streamlink/issues/{0}\\\".format(issue) raise PluginError(msg) def decorator(*args, **kwargs): return func return decorator @classmethod def priority(cls,\",\n \"be of highest and lowest quality respectively. If multiple streams with the same\",\n \"will determine which stream gets to keep the name while the rest will\",\n \"op = FILTER_OPERATORS.get(op, operator.eq) filter_weight, filter_group = stream_weight(value) def func(quality): weight, group =\",\n \"cls.cache = Cache(filename=\\\"plugin-cache.json\\\", key_prefix=module) cls.logger = session.logger.new_module(\\\"plugin.\\\" + module) cls.module = module cls.session\",\n \"1 and 1)) stream_names = filter(stream_weight_only, streams.keys()) sorted_streams = sorted(stream_names, key=stream_weight_only) if isinstance(sorting_excludes,\",\n \"\\\"sq\\\": 360, }, } FILTER_OPERATORS = { \\\"<\\\": operator.lt, \\\"<=\\\": operator.le, \\\">\\\": operator.gt,\",\n \"not match: raise PluginError(\\\"Invalid filter expression: {0}\\\".format(expr)) op, value = match.group(\\\"op\\\", \\\"value\\\") op\",\n \"\\\"\\\"\\\" Return the plugin priority for a given URL, by default it returns\",\n \"\\\"\\\"\\\" try: ostreams = self._get_streams() if isinstance(ostreams, dict): ostreams = ostreams.items() # Flatten\",\n \"\\\"p\\\": # resolution weight += int(match.group(1)) if match.group(3): # fps eg. 60p or\",\n \"to return. :param sorting_excludes: Specify which streams to exclude from the best/worst synonyms.\",\n \"versionchanged:: 1.5.0 Renamed *priority* to *stream_types* and changed behaviour slightly. .. versionchanged:: 1.5.0\",\n \"sorted_streams: stream_type = type(stream).shortname() # Use * as wildcard to match other stream\",\n \"# Use * as wildcard to match other stream types if \\\"*\\\" not\",\n \"def get_streams(self, *args, **kwargs): \\\"\\\"\\\"Deprecated since version 1.9.0. Has been renamed to :func:`Plugin.streams`,\",\n \"def stream_weight_only(s): return (self.stream_weight(s)[0] or (len(streams) == 1 and 1)) stream_names = filter(stream_weight_only,\",\n \"= r\\\"(\\\\w+)=({.+?}|\\\\[.+?\\\\]|\\\\(.+?\\\\)|'(?:[^'\\\\\\\\]|\\\\\\\\')*'|\\\\\\\"(?:[^\\\\\\\"\\\\\\\\]|\\\\\\\\\\\\\\\")*\\\\\\\"|\\\\S+)\\\" HIGH_PRIORITY = 30 NORMAL_PRIORITY = 20 LOW_PRIORITY = 10 NO_PRIORITY =\",\n \"not in stream_types: stream_types.append(stream_type) return stream_types @classmethod def broken(cls, issue=None): def func(*args, **kwargs):\",\n \"filter_func = stream_sorting_filter(expr, self.stream_weight) sorted_streams = list(filter(filter_func, sorted_streams)) elif callable(sorting_excludes): sorted_streams = list(filter(sorting_excludes,\",\n \"a list of stream names as input. :param stream_types: A list of stream\",\n \"LOW_PRIORITY = 10 NO_PRIORITY = 0 def stream_weight(stream): for group, weights in QUALITY_WEIGTHS_EXTRA.items():\",\n \"= FILTER_OPERATORS.get(op, operator.eq) filter_weight, filter_group = stream_weight(value) def func(quality): weight, group = stream_weight(quality)\",\n \"the rest will be renamed to \\\"<name>_<stream type>\\\". The synonyms can be fine\",\n \"parameter. This can be either of these types: - A list of filter\",\n \"1.4.2 Added *priority* parameter. .. versionchanged:: 1.5.0 Renamed *priority* to *stream_types* and changed\",\n \"and 1)) stream_names = filter(stream_weight_only, streams.keys()) sorted_streams = sorted(stream_names, key=stream_weight_only) if isinstance(sorting_excludes, list):\",\n \"match: weight = 0 if match.group(6): if match.group(7): weight -= ALT_WEIGHT_MOD * int(match.group(7))\",\n \"def iterate_streams(streams): for name, stream in streams: if isinstance(stream, list): for sub_stream in\",\n \"= stream_weight(value) def func(quality): weight, group = stream_weight(quality) if group == filter_group: return\",\n \"+ module) cls.module = module cls.session = session def __init__(self, url): self.url =\",\n \"name_type == \\\"k\\\": # bit rate bitrate = int(match.group(1)) weight += bitrate /\",\n \"URL that the plugin will operate on \\\"\\\"\\\" cache = None logger =\",\n \"value = match.group(\\\"op\\\", \\\"value\\\") op = FILTER_OPERATORS.get(op, operator.eq) filter_weight, filter_group = stream_weight(value) def\",\n \"1080, \\\"sd\\\": 576, }, \\\"quality\\\": { \\\"ehq\\\": 720, \\\"hq\\\": 576, \\\"sq\\\": 360, },\",\n \"\\\"\\\"\\\" cache = None logger = None module = \\\"unknown\\\" options = Options()\",\n \"with underscore. streams[name.lower()] = stream # Create the best/worst synonmys def stream_weight_only(s): return\",\n \"# FIXME: This is a crude attempt at making a bitrate's # weight\",\n \"len(list(filter(lambda n: n.startswith(name), streams.keys()))) # We shouldn't need more than 2 alt streams\",\n \"which are likely to be of highest and lowest quality respectively. If multiple\",\n \"= None module = \\\"unknown\\\" options = Options() session = None @classmethod def\",\n \"import Options # FIXME: This is a crude attempt at making a bitrate's\",\n \"1.6.0 *sorting_excludes* can now be a list of filter expressions or a function\",\n \"slightly. .. versionchanged:: 1.5.0 Added *sorting_excludes* parameter. .. versionchanged:: 1.6.0 *sorting_excludes* can now\"\n]","isConversational":false}}},{"rowIdx":1274,"cells":{"ngram":{"kind":"list like","value":["basedir os.environ[config.ENV_URL] = connect_url # Make sure to reset the database. yield CliRunner()","free software; you can redistribute it and/or modify it under the # terms","import os import pytest from click.testing import CliRunner from refdata.db import DB import","= os.path.abspath(str(tmpdir)) connect_url = 'sqlite:///{}'.format(os.path.join(basedir, 'test.db')) DB(connect_url=connect_url).init() os.environ[config.ENV_BASEDIR] = basedir os.environ[config.ENV_URL] = connect_url","database for the local store.\"\"\" basedir = os.path.abspath(str(tmpdir)) connect_url = 'sqlite:///{}'.format(os.path.join(basedir, 'test.db')) DB(connect_url=connect_url).init()","file for more details. \"\"\"Fixtures for testing the command-line interface.\"\"\" import os import","for the local store.\"\"\" basedir = os.path.abspath(str(tmpdir)) connect_url = 'sqlite:///{}'.format(os.path.join(basedir, 'test.db')) DB(connect_url=connect_url).init() os.environ[config.ENV_BASEDIR]","the database for the local store.\"\"\" basedir = os.path.abspath(str(tmpdir)) connect_url = 'sqlite:///{}'.format(os.path.join(basedir, 'test.db'))","basedir = os.path.abspath(str(tmpdir)) connect_url = 'sqlite:///{}'.format(os.path.join(basedir, 'test.db')) DB(connect_url=connect_url).init() os.environ[config.ENV_BASEDIR] = basedir os.environ[config.ENV_URL] =","the command-line interface.\"\"\" import os import pytest from click.testing import CliRunner from refdata.db","details. \"\"\"Fixtures for testing the command-line interface.\"\"\" import os import pytest from click.testing","see LICENSE file for more details. \"\"\"Fixtures for testing the command-line interface.\"\"\" import","# This file is part of the Reference Data Repository (refdata). # #","import CliRunner from refdata.db import DB import refdata.config as config @pytest.fixture def refdata_cli(tmpdir):","refdata.db import DB import refdata.config as config @pytest.fixture def refdata_cli(tmpdir): \"\"\"Initialize the environment","as config @pytest.fixture def refdata_cli(tmpdir): \"\"\"Initialize the environment and the database for the","License; see LICENSE file for more details. \"\"\"Fixtures for testing the command-line interface.\"\"\"","DB import refdata.config as config @pytest.fixture def refdata_cli(tmpdir): \"\"\"Initialize the environment and the","CliRunner() # Clear environment variables that were set for the test runner. del","York University. # # refdata is free software; you can redistribute it and/or","os.environ[config.ENV_URL] = connect_url # Make sure to reset the database. yield CliRunner() #","click.testing import CliRunner from refdata.db import DB import refdata.config as config @pytest.fixture def","MIT License; see LICENSE file for more details. \"\"\"Fixtures for testing the command-line","2021 New York University. # # refdata is free software; you can redistribute","'sqlite:///{}'.format(os.path.join(basedir, 'test.db')) DB(connect_url=connect_url).init() os.environ[config.ENV_BASEDIR] = basedir os.environ[config.ENV_URL] = connect_url # Make sure to","testing the command-line interface.\"\"\" import os import pytest from click.testing import CliRunner from","command-line interface.\"\"\" import os import pytest from click.testing import CliRunner from refdata.db import","is part of the Reference Data Repository (refdata). # # Copyright (C) 2021","of the Reference Data Repository (refdata). # # Copyright (C) 2021 New York","# Clear environment variables that were set for the test runner. del os.environ[config.ENV_BASEDIR]","(refdata). # # Copyright (C) 2021 New York University. # # refdata is","os.environ[config.ENV_BASEDIR] = basedir os.environ[config.ENV_URL] = connect_url # Make sure to reset the database.","it under the # terms of the MIT License; see LICENSE file for","University. # # refdata is free software; you can redistribute it and/or modify","software; you can redistribute it and/or modify it under the # terms of","import pytest from click.testing import CliRunner from refdata.db import DB import refdata.config as","CliRunner from refdata.db import DB import refdata.config as config @pytest.fixture def refdata_cli(tmpdir): \"\"\"Initialize","part of the Reference Data Repository (refdata). # # Copyright (C) 2021 New","from click.testing import CliRunner from refdata.db import DB import refdata.config as config @pytest.fixture","config @pytest.fixture def refdata_cli(tmpdir): \"\"\"Initialize the environment and the database for the local","it and/or modify it under the # terms of the MIT License; see","refdata is free software; you can redistribute it and/or modify it under the","# terms of the MIT License; see LICENSE file for more details. \"\"\"Fixtures","the Reference Data Repository (refdata). # # Copyright (C) 2021 New York University.","connect_url # Make sure to reset the database. yield CliRunner() # Clear environment","def refdata_cli(tmpdir): \"\"\"Initialize the environment and the database for the local store.\"\"\" basedir","import refdata.config as config @pytest.fixture def refdata_cli(tmpdir): \"\"\"Initialize the environment and the database","@pytest.fixture def refdata_cli(tmpdir): \"\"\"Initialize the environment and the database for the local store.\"\"\"","reset the database. yield CliRunner() # Clear environment variables that were set for","# # Copyright (C) 2021 New York University. # # refdata is free","of the MIT License; see LICENSE file for more details. \"\"\"Fixtures for testing","environment variables that were set for the test runner. del os.environ[config.ENV_BASEDIR] del os.environ[config.ENV_URL]","the environment and the database for the local store.\"\"\" basedir = os.path.abspath(str(tmpdir)) connect_url","is free software; you can redistribute it and/or modify it under the #","LICENSE file for more details. \"\"\"Fixtures for testing the command-line interface.\"\"\" import os","\"\"\"Fixtures for testing the command-line interface.\"\"\" import os import pytest from click.testing import","(C) 2021 New York University. # # refdata is free software; you can","Make sure to reset the database. yield CliRunner() # Clear environment variables that","modify it under the # terms of the MIT License; see LICENSE file","the MIT License; see LICENSE file for more details. \"\"\"Fixtures for testing the","environment and the database for the local store.\"\"\" basedir = os.path.abspath(str(tmpdir)) connect_url =","local store.\"\"\" basedir = os.path.abspath(str(tmpdir)) connect_url = 'sqlite:///{}'.format(os.path.join(basedir, 'test.db')) DB(connect_url=connect_url).init() os.environ[config.ENV_BASEDIR] = basedir","# Make sure to reset the database. yield CliRunner() # Clear environment variables","Clear environment variables that were set for the test runner. del os.environ[config.ENV_BASEDIR] del","the # terms of the MIT License; see LICENSE file for more details.","Repository (refdata). # # Copyright (C) 2021 New York University. # # refdata","store.\"\"\" basedir = os.path.abspath(str(tmpdir)) connect_url = 'sqlite:///{}'.format(os.path.join(basedir, 'test.db')) DB(connect_url=connect_url).init() os.environ[config.ENV_BASEDIR] = basedir os.environ[config.ENV_URL]","'test.db')) DB(connect_url=connect_url).init() os.environ[config.ENV_BASEDIR] = basedir os.environ[config.ENV_URL] = connect_url # Make sure to reset","sure to reset the database. yield CliRunner() # Clear environment variables that were","the database. yield CliRunner() # Clear environment variables that were set for the","from refdata.db import DB import refdata.config as config @pytest.fixture def refdata_cli(tmpdir): \"\"\"Initialize the","= basedir os.environ[config.ENV_URL] = connect_url # Make sure to reset the database. yield","# Copyright (C) 2021 New York University. # # refdata is free software;","redistribute it and/or modify it under the # terms of the MIT License;","DB(connect_url=connect_url).init() os.environ[config.ENV_BASEDIR] = basedir os.environ[config.ENV_URL] = connect_url # Make sure to reset the","# refdata is free software; you can redistribute it and/or modify it under","connect_url = 'sqlite:///{}'.format(os.path.join(basedir, 'test.db')) DB(connect_url=connect_url).init() os.environ[config.ENV_BASEDIR] = basedir os.environ[config.ENV_URL] = connect_url # Make","pytest from click.testing import CliRunner from refdata.db import DB import refdata.config as config","Copyright (C) 2021 New York University. # # refdata is free software; you","os.path.abspath(str(tmpdir)) connect_url = 'sqlite:///{}'.format(os.path.join(basedir, 'test.db')) DB(connect_url=connect_url).init() os.environ[config.ENV_BASEDIR] = basedir os.environ[config.ENV_URL] = connect_url #","to reset the database. yield CliRunner() # Clear environment variables that were set","and the database for the local store.\"\"\" basedir = os.path.abspath(str(tmpdir)) connect_url = 'sqlite:///{}'.format(os.path.join(basedir,","Reference Data Repository (refdata). # # Copyright (C) 2021 New York University. #","terms of the MIT License; see LICENSE file for more details. \"\"\"Fixtures for","can redistribute it and/or modify it under the # terms of the MIT","This file is part of the Reference Data Repository (refdata). # # Copyright","= connect_url # Make sure to reset the database. yield CliRunner() # Clear","more details. \"\"\"Fixtures for testing the command-line interface.\"\"\" import os import pytest from","the local store.\"\"\" basedir = os.path.abspath(str(tmpdir)) connect_url = 'sqlite:///{}'.format(os.path.join(basedir, 'test.db')) DB(connect_url=connect_url).init() os.environ[config.ENV_BASEDIR] =","file is part of the Reference Data Repository (refdata). # # Copyright (C)","for more details. \"\"\"Fixtures for testing the command-line interface.\"\"\" import os import pytest","for testing the command-line interface.\"\"\" import os import pytest from click.testing import CliRunner","yield CliRunner() # Clear environment variables that were set for the test runner.","New York University. # # refdata is free software; you can redistribute it","\"\"\"Initialize the environment and the database for the local store.\"\"\" basedir = os.path.abspath(str(tmpdir))","and/or modify it under the # terms of the MIT License; see LICENSE","os import pytest from click.testing import CliRunner from refdata.db import DB import refdata.config","= 'sqlite:///{}'.format(os.path.join(basedir, 'test.db')) DB(connect_url=connect_url).init() os.environ[config.ENV_BASEDIR] = basedir os.environ[config.ENV_URL] = connect_url # Make sure","# # refdata is free software; you can redistribute it and/or modify it","you can redistribute it and/or modify it under the # terms of the","import DB import refdata.config as config @pytest.fixture def refdata_cli(tmpdir): \"\"\"Initialize the environment and","under the # terms of the MIT License; see LICENSE file for more","database. yield CliRunner() # Clear environment variables that were set for the test","refdata.config as config @pytest.fixture def refdata_cli(tmpdir): \"\"\"Initialize the environment and the database for","Data Repository (refdata). # # Copyright (C) 2021 New York University. # #","refdata_cli(tmpdir): \"\"\"Initialize the environment and the database for the local store.\"\"\" basedir =","interface.\"\"\" import os import pytest from click.testing import CliRunner from refdata.db import DB"],"string":"[\n \"basedir os.environ[config.ENV_URL] = connect_url # Make sure to reset the database. yield CliRunner()\",\n \"free software; you can redistribute it and/or modify it under the # terms\",\n \"import os import pytest from click.testing import CliRunner from refdata.db import DB import\",\n \"= os.path.abspath(str(tmpdir)) connect_url = 'sqlite:///{}'.format(os.path.join(basedir, 'test.db')) DB(connect_url=connect_url).init() os.environ[config.ENV_BASEDIR] = basedir os.environ[config.ENV_URL] = connect_url\",\n \"database for the local store.\\\"\\\"\\\" basedir = os.path.abspath(str(tmpdir)) connect_url = 'sqlite:///{}'.format(os.path.join(basedir, 'test.db')) DB(connect_url=connect_url).init()\",\n \"file for more details. \\\"\\\"\\\"Fixtures for testing the command-line interface.\\\"\\\"\\\" import os import\",\n \"for the local store.\\\"\\\"\\\" basedir = os.path.abspath(str(tmpdir)) connect_url = 'sqlite:///{}'.format(os.path.join(basedir, 'test.db')) DB(connect_url=connect_url).init() os.environ[config.ENV_BASEDIR]\",\n \"the database for the local store.\\\"\\\"\\\" basedir = os.path.abspath(str(tmpdir)) connect_url = 'sqlite:///{}'.format(os.path.join(basedir, 'test.db'))\",\n \"basedir = os.path.abspath(str(tmpdir)) connect_url = 'sqlite:///{}'.format(os.path.join(basedir, 'test.db')) DB(connect_url=connect_url).init() os.environ[config.ENV_BASEDIR] = basedir os.environ[config.ENV_URL] =\",\n \"the command-line interface.\\\"\\\"\\\" import os import pytest from click.testing import CliRunner from refdata.db\",\n \"details. \\\"\\\"\\\"Fixtures for testing the command-line interface.\\\"\\\"\\\" import os import pytest from click.testing\",\n \"see LICENSE file for more details. \\\"\\\"\\\"Fixtures for testing the command-line interface.\\\"\\\"\\\" import\",\n \"# This file is part of the Reference Data Repository (refdata). # #\",\n \"import CliRunner from refdata.db import DB import refdata.config as config @pytest.fixture def refdata_cli(tmpdir):\",\n \"refdata.db import DB import refdata.config as config @pytest.fixture def refdata_cli(tmpdir): \\\"\\\"\\\"Initialize the environment\",\n \"as config @pytest.fixture def refdata_cli(tmpdir): \\\"\\\"\\\"Initialize the environment and the database for the\",\n \"License; see LICENSE file for more details. \\\"\\\"\\\"Fixtures for testing the command-line interface.\\\"\\\"\\\"\",\n \"DB import refdata.config as config @pytest.fixture def refdata_cli(tmpdir): \\\"\\\"\\\"Initialize the environment and the\",\n \"CliRunner() # Clear environment variables that were set for the test runner. del\",\n \"York University. # # refdata is free software; you can redistribute it and/or\",\n \"os.environ[config.ENV_URL] = connect_url # Make sure to reset the database. yield CliRunner() #\",\n \"click.testing import CliRunner from refdata.db import DB import refdata.config as config @pytest.fixture def\",\n \"MIT License; see LICENSE file for more details. \\\"\\\"\\\"Fixtures for testing the command-line\",\n \"2021 New York University. # # refdata is free software; you can redistribute\",\n \"'sqlite:///{}'.format(os.path.join(basedir, 'test.db')) DB(connect_url=connect_url).init() os.environ[config.ENV_BASEDIR] = basedir os.environ[config.ENV_URL] = connect_url # Make sure to\",\n \"testing the command-line interface.\\\"\\\"\\\" import os import pytest from click.testing import CliRunner from\",\n \"command-line interface.\\\"\\\"\\\" import os import pytest from click.testing import CliRunner from refdata.db import\",\n \"is part of the Reference Data Repository (refdata). # # Copyright (C) 2021\",\n \"of the Reference Data Repository (refdata). # # Copyright (C) 2021 New York\",\n \"# Clear environment variables that were set for the test runner. del os.environ[config.ENV_BASEDIR]\",\n \"(refdata). # # Copyright (C) 2021 New York University. # # refdata is\",\n \"os.environ[config.ENV_BASEDIR] = basedir os.environ[config.ENV_URL] = connect_url # Make sure to reset the database.\",\n \"it under the # terms of the MIT License; see LICENSE file for\",\n \"University. # # refdata is free software; you can redistribute it and/or modify\",\n \"software; you can redistribute it and/or modify it under the # terms of\",\n \"import pytest from click.testing import CliRunner from refdata.db import DB import refdata.config as\",\n \"CliRunner from refdata.db import DB import refdata.config as config @pytest.fixture def refdata_cli(tmpdir): \\\"\\\"\\\"Initialize\",\n \"part of the Reference Data Repository (refdata). # # Copyright (C) 2021 New\",\n \"from click.testing import CliRunner from refdata.db import DB import refdata.config as config @pytest.fixture\",\n \"config @pytest.fixture def refdata_cli(tmpdir): \\\"\\\"\\\"Initialize the environment and the database for the local\",\n \"it and/or modify it under the # terms of the MIT License; see\",\n \"refdata is free software; you can redistribute it and/or modify it under the\",\n \"# terms of the MIT License; see LICENSE file for more details. \\\"\\\"\\\"Fixtures\",\n \"the Reference Data Repository (refdata). # # Copyright (C) 2021 New York University.\",\n \"connect_url # Make sure to reset the database. yield CliRunner() # Clear environment\",\n \"def refdata_cli(tmpdir): \\\"\\\"\\\"Initialize the environment and the database for the local store.\\\"\\\"\\\" basedir\",\n \"import refdata.config as config @pytest.fixture def refdata_cli(tmpdir): \\\"\\\"\\\"Initialize the environment and the database\",\n \"@pytest.fixture def refdata_cli(tmpdir): \\\"\\\"\\\"Initialize the environment and the database for the local store.\\\"\\\"\\\"\",\n \"reset the database. yield CliRunner() # Clear environment variables that were set for\",\n \"# # Copyright (C) 2021 New York University. # # refdata is free\",\n \"of the MIT License; see LICENSE file for more details. \\\"\\\"\\\"Fixtures for testing\",\n \"environment variables that were set for the test runner. del os.environ[config.ENV_BASEDIR] del os.environ[config.ENV_URL]\",\n \"the environment and the database for the local store.\\\"\\\"\\\" basedir = os.path.abspath(str(tmpdir)) connect_url\",\n \"is free software; you can redistribute it and/or modify it under the #\",\n \"LICENSE file for more details. \\\"\\\"\\\"Fixtures for testing the command-line interface.\\\"\\\"\\\" import os\",\n \"\\\"\\\"\\\"Fixtures for testing the command-line interface.\\\"\\\"\\\" import os import pytest from click.testing import\",\n \"(C) 2021 New York University. # # refdata is free software; you can\",\n \"Make sure to reset the database. yield CliRunner() # Clear environment variables that\",\n \"modify it under the # terms of the MIT License; see LICENSE file\",\n \"the MIT License; see LICENSE file for more details. \\\"\\\"\\\"Fixtures for testing the\",\n \"environment and the database for the local store.\\\"\\\"\\\" basedir = os.path.abspath(str(tmpdir)) connect_url =\",\n \"local store.\\\"\\\"\\\" basedir = os.path.abspath(str(tmpdir)) connect_url = 'sqlite:///{}'.format(os.path.join(basedir, 'test.db')) DB(connect_url=connect_url).init() os.environ[config.ENV_BASEDIR] = basedir\",\n \"# Make sure to reset the database. yield CliRunner() # Clear environment variables\",\n \"Clear environment variables that were set for the test runner. del os.environ[config.ENV_BASEDIR] del\",\n \"the # terms of the MIT License; see LICENSE file for more details.\",\n \"Repository (refdata). # # Copyright (C) 2021 New York University. # # refdata\",\n \"store.\\\"\\\"\\\" basedir = os.path.abspath(str(tmpdir)) connect_url = 'sqlite:///{}'.format(os.path.join(basedir, 'test.db')) DB(connect_url=connect_url).init() os.environ[config.ENV_BASEDIR] = basedir os.environ[config.ENV_URL]\",\n \"'test.db')) DB(connect_url=connect_url).init() os.environ[config.ENV_BASEDIR] = basedir os.environ[config.ENV_URL] = connect_url # Make sure to reset\",\n \"sure to reset the database. yield CliRunner() # Clear environment variables that were\",\n \"the database. yield CliRunner() # Clear environment variables that were set for the\",\n \"from refdata.db import DB import refdata.config as config @pytest.fixture def refdata_cli(tmpdir): \\\"\\\"\\\"Initialize the\",\n \"= basedir os.environ[config.ENV_URL] = connect_url # Make sure to reset the database. yield\",\n \"# Copyright (C) 2021 New York University. # # refdata is free software;\",\n \"redistribute it and/or modify it under the # terms of the MIT License;\",\n \"DB(connect_url=connect_url).init() os.environ[config.ENV_BASEDIR] = basedir os.environ[config.ENV_URL] = connect_url # Make sure to reset the\",\n \"# refdata is free software; you can redistribute it and/or modify it under\",\n \"connect_url = 'sqlite:///{}'.format(os.path.join(basedir, 'test.db')) DB(connect_url=connect_url).init() os.environ[config.ENV_BASEDIR] = basedir os.environ[config.ENV_URL] = connect_url # Make\",\n \"pytest from click.testing import CliRunner from refdata.db import DB import refdata.config as config\",\n \"Copyright (C) 2021 New York University. # # refdata is free software; you\",\n \"os.path.abspath(str(tmpdir)) connect_url = 'sqlite:///{}'.format(os.path.join(basedir, 'test.db')) DB(connect_url=connect_url).init() os.environ[config.ENV_BASEDIR] = basedir os.environ[config.ENV_URL] = connect_url #\",\n \"to reset the database. yield CliRunner() # Clear environment variables that were set\",\n \"and the database for the local store.\\\"\\\"\\\" basedir = os.path.abspath(str(tmpdir)) connect_url = 'sqlite:///{}'.format(os.path.join(basedir,\",\n \"Reference Data Repository (refdata). # # Copyright (C) 2021 New York University. #\",\n \"terms of the MIT License; see LICENSE file for more details. \\\"\\\"\\\"Fixtures for\",\n \"can redistribute it and/or modify it under the # terms of the MIT\",\n \"This file is part of the Reference Data Repository (refdata). # # Copyright\",\n \"= connect_url # Make sure to reset the database. yield CliRunner() # Clear\",\n \"more details. \\\"\\\"\\\"Fixtures for testing the command-line interface.\\\"\\\"\\\" import os import pytest from\",\n \"the local store.\\\"\\\"\\\" basedir = os.path.abspath(str(tmpdir)) connect_url = 'sqlite:///{}'.format(os.path.join(basedir, 'test.db')) DB(connect_url=connect_url).init() os.environ[config.ENV_BASEDIR] =\",\n \"file is part of the Reference Data Repository (refdata). # # Copyright (C)\",\n \"for more details. \\\"\\\"\\\"Fixtures for testing the command-line interface.\\\"\\\"\\\" import os import pytest\",\n \"for testing the command-line interface.\\\"\\\"\\\" import os import pytest from click.testing import CliRunner\",\n \"yield CliRunner() # Clear environment variables that were set for the test runner.\",\n \"New York University. # # refdata is free software; you can redistribute it\",\n \"\\\"\\\"\\\"Initialize the environment and the database for the local store.\\\"\\\"\\\" basedir = os.path.abspath(str(tmpdir))\",\n \"and/or modify it under the # terms of the MIT License; see LICENSE\",\n \"os import pytest from click.testing import CliRunner from refdata.db import DB import refdata.config\",\n \"= 'sqlite:///{}'.format(os.path.join(basedir, 'test.db')) DB(connect_url=connect_url).init() os.environ[config.ENV_BASEDIR] = basedir os.environ[config.ENV_URL] = connect_url # Make sure\",\n \"# # refdata is free software; you can redistribute it and/or modify it\",\n \"you can redistribute it and/or modify it under the # terms of the\",\n \"import DB import refdata.config as config @pytest.fixture def refdata_cli(tmpdir): \\\"\\\"\\\"Initialize the environment and\",\n \"under the # terms of the MIT License; see LICENSE file for more\",\n \"database. yield CliRunner() # Clear environment variables that were set for the test\",\n \"refdata.config as config @pytest.fixture def refdata_cli(tmpdir): \\\"\\\"\\\"Initialize the environment and the database for\",\n \"Data Repository (refdata). # # Copyright (C) 2021 New York University. # #\",\n \"refdata_cli(tmpdir): \\\"\\\"\\\"Initialize the environment and the database for the local store.\\\"\\\"\\\" basedir =\",\n \"interface.\\\"\\\"\\\" import os import pytest from click.testing import CliRunner from refdata.db import DB\"\n]","isConversational":false}}},{"rowIdx":1275,"cells":{"ngram":{"kind":"list like","value":["= grid_cell[ :, jitter[1, i, j] : jitter[1, i, j] + patch_size, jitter[0,","or numpy array. This transform was proposed in Jigsaw - https://arxiv.org/abs/1603.09246 Args: num_patches","cropped properly\" # copy patch data so that all patches are different in","properly\" # copy patch data so that all patches are different in underlying","> 0, \"Negative jitter not supported\" self.grid_side_len = int(math.sqrt(self.num_patches)) # usually = 3","config (Dict): arguments for for the transform Returns: ImgPatchesFromTensor instance. \"\"\" num_patches =","grid_size ] patch = grid_cell[ :, jitter[1, i, j] : jitter[1, i, j]","different in underlying memory data.append(np.copy(patch)) return data @classmethod def from_config(cls, config: Dict[str, Any])","* grid_size grid_cell = image[ :, y_offset : y_offset + grid_size, x_offset :","+ grid_size ] patch = grid_cell[ :, jitter[1, i, j] : jitter[1, i,",": jitter[0, i, j] + patch_size, ] assert patch.shape[1] == patch_size, \"Image not","image[ :, y_offset : y_offset + grid_size, x_offset : x_offset + grid_size ]","proposed in Jigsaw - https://arxiv.org/abs/1603.09246 Args: num_patches (int): how many image patches to","jitter[1, i, j] + patch_size, jitter[0, i, j] : jitter[0, i, j] +","Any]) -> \"ImgPatchesFromTensor\": \"\"\" Instantiates ImgPatchesFromTensor from configuration. Args: config (Dict): arguments for","from a torch Tensor or numpy array. This transform was proposed in Jigsaw","+ grid_size, x_offset : x_offset + grid_size ] patch = grid_cell[ :, jitter[1,","y_offset = j * grid_size grid_cell = image[ :, y_offset : y_offset +","classy_vision.dataset.transforms.classy_transform import ClassyTransform @register_transform(\"ImgPatchesFromTensor\") class ImgPatchesFromTensor(ClassyTransform): \"\"\" Create image patches from a torch","patch_jitter (int): space to leave between patches \"\"\" def __init__(self, num_patches=9, patch_jitter=21): self.num_patches","j in range(self.grid_side_len): x_offset = i * grid_size y_offset = j * grid_size","instance. \"\"\" num_patches = config.get(\"num_patches\", 9) patch_jitter = config.get(\"patch_jitter\", 21) logging.info(f\"ImgPatchesFromTensor | Using","Instantiates ImgPatchesFromTensor from configuration. Args: config (Dict): arguments for for the transform Returns:","for for the transform Returns: ImgPatchesFromTensor instance. \"\"\" num_patches = config.get(\"num_patches\", 9) patch_jitter","and its affiliates. All Rights Reserved import logging import math from typing import","i, j] + patch_size, jitter[0, i, j] : jitter[0, i, j] + patch_size,","<filename>swav/vissl/vissl/data/ssl_transforms/img_patches_tensor.py # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved import","logging import math from typing import Any, Dict import numpy as np from","import math from typing import Any, Dict import numpy as np from classy_vision.dataset.transforms","patch = grid_cell[ :, jitter[1, i, j] : jitter[1, i, j] + patch_size,","patch_size, ] assert patch.shape[1] == patch_size, \"Image not cropped properly\" assert patch.shape[2] ==","== patch_size, \"Image not cropped properly\" # copy patch data so that all","in underlying memory data.append(np.copy(patch)) return data @classmethod def from_config(cls, config: Dict[str, Any]) ->","\"\"\" num_patches = config.get(\"num_patches\", 9) patch_jitter = config.get(\"patch_jitter\", 21) logging.info(f\"ImgPatchesFromTensor | Using num_patches:","patch data so that all patches are different in underlying memory data.append(np.copy(patch)) return","config: Dict[str, Any]) -> \"ImgPatchesFromTensor\": \"\"\" Instantiates ImgPatchesFromTensor from configuration. Args: config (Dict):","config.get(\"patch_jitter\", 21) logging.info(f\"ImgPatchesFromTensor | Using num_patches: {num_patches}\") logging.info(f\"ImgPatchesFromTensor | Using patch_jitter: {patch_jitter}\") return","the transform Returns: ImgPatchesFromTensor instance. \"\"\" num_patches = config.get(\"num_patches\", 9) patch_jitter = config.get(\"patch_jitter\",","patches from a torch Tensor or numpy array. This transform was proposed in","= image[ :, y_offset : y_offset + grid_size, x_offset : x_offset + grid_size","logging.info(f\"ImgPatchesFromTensor | Using num_patches: {num_patches}\") logging.info(f\"ImgPatchesFromTensor | Using patch_jitter: {patch_jitter}\") return cls(num_patches=num_patches, patch_jitter=patch_jitter)","Rights Reserved import logging import math from typing import Any, Dict import numpy",") for i in range(self.grid_side_len): for j in range(self.grid_side_len): x_offset = i *","num_patches self.patch_jitter = patch_jitter assert self.patch_jitter > 0, \"Negative jitter not supported\" self.grid_side_len","__call__(self, image): \"\"\" Input image which is a torch.Tensor object of shape 3","patch_jitter = config.get(\"patch_jitter\", 21) logging.info(f\"ImgPatchesFromTensor | Using num_patches: {num_patches}\") logging.info(f\"ImgPatchesFromTensor | Using patch_jitter:","from classy_vision.dataset.transforms.classy_transform import ClassyTransform @register_transform(\"ImgPatchesFromTensor\") class ImgPatchesFromTensor(ClassyTransform): \"\"\" Create image patches from a","/ self.grid_side_len) patch_size = grid_size - self.patch_jitter jitter = np.random.randint( 0, self.patch_jitter, (2,","patches are different in underlying memory data.append(np.copy(patch)) return data @classmethod def from_config(cls, config:","Create image patches from a torch Tensor or numpy array. This transform was","many image patches to create patch_jitter (int): space to leave between patches \"\"\"","\"\"\" Input image which is a torch.Tensor object of shape 3 x H","as np from classy_vision.dataset.transforms import register_transform from classy_vision.dataset.transforms.classy_transform import ClassyTransform @register_transform(\"ImgPatchesFromTensor\") class ImgPatchesFromTensor(ClassyTransform):","how many image patches to create patch_jitter (int): space to leave between patches","\"Image not cropped properly\" assert patch.shape[2] == patch_size, \"Image not cropped properly\" #","for the transform Returns: ImgPatchesFromTensor instance. \"\"\" num_patches = config.get(\"num_patches\", 9) patch_jitter =","of shape 3 x H x W \"\"\" data = [] grid_size =","object of shape 3 x H x W \"\"\" data = [] grid_size","assert patch.shape[2] == patch_size, \"Image not cropped properly\" # copy patch data so","import numpy as np from classy_vision.dataset.transforms import register_transform from classy_vision.dataset.transforms.classy_transform import ClassyTransform @register_transform(\"ImgPatchesFromTensor\")","to create patch_jitter (int): space to leave between patches \"\"\" def __init__(self, num_patches=9,","= config.get(\"num_patches\", 9) patch_jitter = config.get(\"patch_jitter\", 21) logging.info(f\"ImgPatchesFromTensor | Using num_patches: {num_patches}\") logging.info(f\"ImgPatchesFromTensor","its affiliates. All Rights Reserved import logging import math from typing import Any,","patch_jitter=21): self.num_patches = num_patches self.patch_jitter = patch_jitter assert self.patch_jitter > 0, \"Negative jitter","from_config(cls, config: Dict[str, Any]) -> \"ImgPatchesFromTensor\": \"\"\" Instantiates ImgPatchesFromTensor from configuration. Args: config","= int(image.shape[1] / self.grid_side_len) patch_size = grid_size - self.patch_jitter jitter = np.random.randint( 0,","import ClassyTransform @register_transform(\"ImgPatchesFromTensor\") class ImgPatchesFromTensor(ClassyTransform): \"\"\" Create image patches from a torch Tensor","y_offset + grid_size, x_offset : x_offset + grid_size ] patch = grid_cell[ :,","Args: num_patches (int): how many image patches to create patch_jitter (int): space to","shape 3 x H x W \"\"\" data = [] grid_size = int(image.shape[1]","= i * grid_size y_offset = j * grid_size grid_cell = image[ :,","def __init__(self, num_patches=9, patch_jitter=21): self.num_patches = num_patches self.patch_jitter = patch_jitter assert self.patch_jitter >","torch Tensor or numpy array. This transform was proposed in Jigsaw - https://arxiv.org/abs/1603.09246","self.patch_jitter jitter = np.random.randint( 0, self.patch_jitter, (2, self.grid_side_len, self.grid_side_len) ) for i in","9) patch_jitter = config.get(\"patch_jitter\", 21) logging.info(f\"ImgPatchesFromTensor | Using num_patches: {num_patches}\") logging.info(f\"ImgPatchesFromTensor | Using","grid_size - self.patch_jitter jitter = np.random.randint( 0, self.patch_jitter, (2, self.grid_side_len, self.grid_side_len) ) for","(int): space to leave between patches \"\"\" def __init__(self, num_patches=9, patch_jitter=21): self.num_patches =","in range(self.grid_side_len): x_offset = i * grid_size y_offset = j * grid_size grid_cell","[] grid_size = int(image.shape[1] / self.grid_side_len) patch_size = grid_size - self.patch_jitter jitter =","math from typing import Any, Dict import numpy as np from classy_vision.dataset.transforms import","x W \"\"\" data = [] grid_size = int(image.shape[1] / self.grid_side_len) patch_size =","self.grid_side_len, self.grid_side_len) ) for i in range(self.grid_side_len): for j in range(self.grid_side_len): x_offset =","int(image.shape[1] / self.grid_side_len) patch_size = grid_size - self.patch_jitter jitter = np.random.randint( 0, self.patch_jitter,","grid_size grid_cell = image[ :, y_offset : y_offset + grid_size, x_offset : x_offset","num_patches=9, patch_jitter=21): self.num_patches = num_patches self.patch_jitter = patch_jitter assert self.patch_jitter > 0, \"Negative","array. This transform was proposed in Jigsaw - https://arxiv.org/abs/1603.09246 Args: num_patches (int): how",": x_offset + grid_size ] patch = grid_cell[ :, jitter[1, i, j] :","] patch = grid_cell[ :, jitter[1, i, j] : jitter[1, i, j] +","a torch.Tensor object of shape 3 x H x W \"\"\" data =","+ patch_size, jitter[0, i, j] : jitter[0, i, j] + patch_size, ] assert","Returns: ImgPatchesFromTensor instance. \"\"\" num_patches = config.get(\"num_patches\", 9) patch_jitter = config.get(\"patch_jitter\", 21) logging.info(f\"ImgPatchesFromTensor","i * grid_size y_offset = j * grid_size grid_cell = image[ :, y_offset","- https://arxiv.org/abs/1603.09246 Args: num_patches (int): how many image patches to create patch_jitter (int):","jitter = np.random.randint( 0, self.patch_jitter, (2, self.grid_side_len, self.grid_side_len) ) for i in range(self.grid_side_len):","j] + patch_size, jitter[0, i, j] : jitter[0, i, j] + patch_size, ]","Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved import logging import","Dict[str, Any]) -> \"ImgPatchesFromTensor\": \"\"\" Instantiates ImgPatchesFromTensor from configuration. Args: config (Dict): arguments","cropped properly\" assert patch.shape[2] == patch_size, \"Image not cropped properly\" # copy patch","{num_patches} \" f\"patch_jitter: {patch_jitter}\" ) def __call__(self, image): \"\"\" Input image which is","ImgPatchesFromTensor from configuration. Args: config (Dict): arguments for for the transform Returns: ImgPatchesFromTensor","== patch_size, \"Image not cropped properly\" assert patch.shape[2] == patch_size, \"Image not cropped","self.grid_side_len) ) for i in range(self.grid_side_len): for j in range(self.grid_side_len): x_offset = i","self.num_patches = num_patches self.patch_jitter = patch_jitter assert self.patch_jitter > 0, \"Negative jitter not","supported\" self.grid_side_len = int(math.sqrt(self.num_patches)) # usually = 3 logging.info( f\"ImgPatchesFromTensor: num_patches: {num_patches} \"","data.append(np.copy(patch)) return data @classmethod def from_config(cls, config: Dict[str, Any]) -> \"ImgPatchesFromTensor\": \"\"\" Instantiates","patch.shape[2] == patch_size, \"Image not cropped properly\" # copy patch data so that","Facebook, Inc. and its affiliates. All Rights Reserved import logging import math from","@classmethod def from_config(cls, config: Dict[str, Any]) -> \"ImgPatchesFromTensor\": \"\"\" Instantiates ImgPatchesFromTensor from configuration.","grid_cell[ :, jitter[1, i, j] : jitter[1, i, j] + patch_size, jitter[0, i,","num_patches (int): how many image patches to create patch_jitter (int): space to leave","grid_size = int(image.shape[1] / self.grid_side_len) patch_size = grid_size - self.patch_jitter jitter = np.random.randint(","patch_jitter assert self.patch_jitter > 0, \"Negative jitter not supported\" self.grid_side_len = int(math.sqrt(self.num_patches)) #","a torch Tensor or numpy array. This transform was proposed in Jigsaw -","assert self.patch_jitter > 0, \"Negative jitter not supported\" self.grid_side_len = int(math.sqrt(self.num_patches)) # usually","\" f\"patch_jitter: {patch_jitter}\" ) def __call__(self, image): \"\"\" Input image which is a","grid_cell = image[ :, y_offset : y_offset + grid_size, x_offset : x_offset +","grid_size, x_offset : x_offset + grid_size ] patch = grid_cell[ :, jitter[1, i,","] assert patch.shape[1] == patch_size, \"Image not cropped properly\" assert patch.shape[2] == patch_size,","ImgPatchesFromTensor(ClassyTransform): \"\"\" Create image patches from a torch Tensor or numpy array. This","in Jigsaw - https://arxiv.org/abs/1603.09246 Args: num_patches (int): how many image patches to create","which is a torch.Tensor object of shape 3 x H x W \"\"\"","= num_patches self.patch_jitter = patch_jitter assert self.patch_jitter > 0, \"Negative jitter not supported\"","self.grid_side_len) patch_size = grid_size - self.patch_jitter jitter = np.random.randint( 0, self.patch_jitter, (2, self.grid_side_len,","jitter not supported\" self.grid_side_len = int(math.sqrt(self.num_patches)) # usually = 3 logging.info( f\"ImgPatchesFromTensor: num_patches:","import Any, Dict import numpy as np from classy_vision.dataset.transforms import register_transform from classy_vision.dataset.transforms.classy_transform","x_offset + grid_size ] patch = grid_cell[ :, jitter[1, i, j] : jitter[1,","3 x H x W \"\"\" data = [] grid_size = int(image.shape[1] /","This transform was proposed in Jigsaw - https://arxiv.org/abs/1603.09246 Args: num_patches (int): how many","# usually = 3 logging.info( f\"ImgPatchesFromTensor: num_patches: {num_patches} \" f\"patch_jitter: {patch_jitter}\" ) def","from typing import Any, Dict import numpy as np from classy_vision.dataset.transforms import register_transform","register_transform from classy_vision.dataset.transforms.classy_transform import ClassyTransform @register_transform(\"ImgPatchesFromTensor\") class ImgPatchesFromTensor(ClassyTransform): \"\"\" Create image patches from","not supported\" self.grid_side_len = int(math.sqrt(self.num_patches)) # usually = 3 logging.info( f\"ImgPatchesFromTensor: num_patches: {num_patches}","patch_size = grid_size - self.patch_jitter jitter = np.random.randint( 0, self.patch_jitter, (2, self.grid_side_len, self.grid_side_len)","import register_transform from classy_vision.dataset.transforms.classy_transform import ClassyTransform @register_transform(\"ImgPatchesFromTensor\") class ImgPatchesFromTensor(ClassyTransform): \"\"\" Create image patches","self.patch_jitter = patch_jitter assert self.patch_jitter > 0, \"Negative jitter not supported\" self.grid_side_len =","3 logging.info( f\"ImgPatchesFromTensor: num_patches: {num_patches} \" f\"patch_jitter: {patch_jitter}\" ) def __call__(self, image): \"\"\"","not cropped properly\" # copy patch data so that all patches are different",": jitter[1, i, j] + patch_size, jitter[0, i, j] : jitter[0, i, j]","\"ImgPatchesFromTensor\": \"\"\" Instantiates ImgPatchesFromTensor from configuration. Args: config (Dict): arguments for for the","so that all patches are different in underlying memory data.append(np.copy(patch)) return data @classmethod","between patches \"\"\" def __init__(self, num_patches=9, patch_jitter=21): self.num_patches = num_patches self.patch_jitter = patch_jitter","self.patch_jitter, (2, self.grid_side_len, self.grid_side_len) ) for i in range(self.grid_side_len): for j in range(self.grid_side_len):","in range(self.grid_side_len): for j in range(self.grid_side_len): x_offset = i * grid_size y_offset =","create patch_jitter (int): space to leave between patches \"\"\" def __init__(self, num_patches=9, patch_jitter=21):","transform Returns: ImgPatchesFromTensor instance. \"\"\" num_patches = config.get(\"num_patches\", 9) patch_jitter = config.get(\"patch_jitter\", 21)","\"\"\" Instantiates ImgPatchesFromTensor from configuration. Args: config (Dict): arguments for for the transform","to leave between patches \"\"\" def __init__(self, num_patches=9, patch_jitter=21): self.num_patches = num_patches self.patch_jitter","image patches to create patch_jitter (int): space to leave between patches \"\"\" def","\"Negative jitter not supported\" self.grid_side_len = int(math.sqrt(self.num_patches)) # usually = 3 logging.info( f\"ImgPatchesFromTensor:","f\"patch_jitter: {patch_jitter}\" ) def __call__(self, image): \"\"\" Input image which is a torch.Tensor","jitter[0, i, j] : jitter[0, i, j] + patch_size, ] assert patch.shape[1] ==","# copy patch data so that all patches are different in underlying memory","Jigsaw - https://arxiv.org/abs/1603.09246 Args: num_patches (int): how many image patches to create patch_jitter","space to leave between patches \"\"\" def __init__(self, num_patches=9, patch_jitter=21): self.num_patches = num_patches","W \"\"\" data = [] grid_size = int(image.shape[1] / self.grid_side_len) patch_size = grid_size","x_offset = i * grid_size y_offset = j * grid_size grid_cell = image[","data @classmethod def from_config(cls, config: Dict[str, Any]) -> \"ImgPatchesFromTensor\": \"\"\" Instantiates ImgPatchesFromTensor from","j] : jitter[0, i, j] + patch_size, ] assert patch.shape[1] == patch_size, \"Image","y_offset : y_offset + grid_size, x_offset : x_offset + grid_size ] patch =","patch_size, \"Image not cropped properly\" assert patch.shape[2] == patch_size, \"Image not cropped properly\"","np from classy_vision.dataset.transforms import register_transform from classy_vision.dataset.transforms.classy_transform import ClassyTransform @register_transform(\"ImgPatchesFromTensor\") class ImgPatchesFromTensor(ClassyTransform): \"\"\"","not cropped properly\" assert patch.shape[2] == patch_size, \"Image not cropped properly\" # copy","for j in range(self.grid_side_len): x_offset = i * grid_size y_offset = j *","Dict import numpy as np from classy_vision.dataset.transforms import register_transform from classy_vision.dataset.transforms.classy_transform import ClassyTransform","* grid_size y_offset = j * grid_size grid_cell = image[ :, y_offset :","\"\"\" data = [] grid_size = int(image.shape[1] / self.grid_side_len) patch_size = grid_size -","= grid_size - self.patch_jitter jitter = np.random.randint( 0, self.patch_jitter, (2, self.grid_side_len, self.grid_side_len) )",":, y_offset : y_offset + grid_size, x_offset : x_offset + grid_size ] patch","assert patch.shape[1] == patch_size, \"Image not cropped properly\" assert patch.shape[2] == patch_size, \"Image","= config.get(\"patch_jitter\", 21) logging.info(f\"ImgPatchesFromTensor | Using num_patches: {num_patches}\") logging.info(f\"ImgPatchesFromTensor | Using patch_jitter: {patch_jitter}\")","21) logging.info(f\"ImgPatchesFromTensor | Using num_patches: {num_patches}\") logging.info(f\"ImgPatchesFromTensor | Using patch_jitter: {patch_jitter}\") return cls(num_patches=num_patches,","All Rights Reserved import logging import math from typing import Any, Dict import","leave between patches \"\"\" def __init__(self, num_patches=9, patch_jitter=21): self.num_patches = num_patches self.patch_jitter =","range(self.grid_side_len): x_offset = i * grid_size y_offset = j * grid_size grid_cell =","__init__(self, num_patches=9, patch_jitter=21): self.num_patches = num_patches self.patch_jitter = patch_jitter assert self.patch_jitter > 0,","H x W \"\"\" data = [] grid_size = int(image.shape[1] / self.grid_side_len) patch_size","transform was proposed in Jigsaw - https://arxiv.org/abs/1603.09246 Args: num_patches (int): how many image","i, j] : jitter[1, i, j] + patch_size, jitter[0, i, j] : jitter[0,","data so that all patches are different in underlying memory data.append(np.copy(patch)) return data","underlying memory data.append(np.copy(patch)) return data @classmethod def from_config(cls, config: Dict[str, Any]) -> \"ImgPatchesFromTensor\":","configuration. Args: config (Dict): arguments for for the transform Returns: ImgPatchesFromTensor instance. \"\"\"","return data @classmethod def from_config(cls, config: Dict[str, Any]) -> \"ImgPatchesFromTensor\": \"\"\" Instantiates ImgPatchesFromTensor","patch_size, \"Image not cropped properly\" # copy patch data so that all patches","self.grid_side_len = int(math.sqrt(self.num_patches)) # usually = 3 logging.info( f\"ImgPatchesFromTensor: num_patches: {num_patches} \" f\"patch_jitter:","j] + patch_size, ] assert patch.shape[1] == patch_size, \"Image not cropped properly\" assert","= 3 logging.info( f\"ImgPatchesFromTensor: num_patches: {num_patches} \" f\"patch_jitter: {patch_jitter}\" ) def __call__(self, image):","patches to create patch_jitter (int): space to leave between patches \"\"\" def __init__(self,","patches \"\"\" def __init__(self, num_patches=9, patch_jitter=21): self.num_patches = num_patches self.patch_jitter = patch_jitter assert","= patch_jitter assert self.patch_jitter > 0, \"Negative jitter not supported\" self.grid_side_len = int(math.sqrt(self.num_patches))","image which is a torch.Tensor object of shape 3 x H x W","is a torch.Tensor object of shape 3 x H x W \"\"\" data","= [] grid_size = int(image.shape[1] / self.grid_side_len) patch_size = grid_size - self.patch_jitter jitter","(2, self.grid_side_len, self.grid_side_len) ) for i in range(self.grid_side_len): for j in range(self.grid_side_len): x_offset","copy patch data so that all patches are different in underlying memory data.append(np.copy(patch))","that all patches are different in underlying memory data.append(np.copy(patch)) return data @classmethod def","self.patch_jitter > 0, \"Negative jitter not supported\" self.grid_side_len = int(math.sqrt(self.num_patches)) # usually =","0, self.patch_jitter, (2, self.grid_side_len, self.grid_side_len) ) for i in range(self.grid_side_len): for j in","patch.shape[1] == patch_size, \"Image not cropped properly\" assert patch.shape[2] == patch_size, \"Image not","ClassyTransform @register_transform(\"ImgPatchesFromTensor\") class ImgPatchesFromTensor(ClassyTransform): \"\"\" Create image patches from a torch Tensor or","= np.random.randint( 0, self.patch_jitter, (2, self.grid_side_len, self.grid_side_len) ) for i in range(self.grid_side_len): for","properly\" assert patch.shape[2] == patch_size, \"Image not cropped properly\" # copy patch data","class ImgPatchesFromTensor(ClassyTransform): \"\"\" Create image patches from a torch Tensor or numpy array.","all patches are different in underlying memory data.append(np.copy(patch)) return data @classmethod def from_config(cls,",") def __call__(self, image): \"\"\" Input image which is a torch.Tensor object of","- self.patch_jitter jitter = np.random.randint( 0, self.patch_jitter, (2, self.grid_side_len, self.grid_side_len) ) for i","for i in range(self.grid_side_len): for j in range(self.grid_side_len): x_offset = i * grid_size","typing import Any, Dict import numpy as np from classy_vision.dataset.transforms import register_transform from","= j * grid_size grid_cell = image[ :, y_offset : y_offset + grid_size,","Args: config (Dict): arguments for for the transform Returns: ImgPatchesFromTensor instance. \"\"\" num_patches","https://arxiv.org/abs/1603.09246 Args: num_patches (int): how many image patches to create patch_jitter (int): space","Reserved import logging import math from typing import Any, Dict import numpy as","\"Image not cropped properly\" # copy patch data so that all patches are","(Dict): arguments for for the transform Returns: ImgPatchesFromTensor instance. \"\"\" num_patches = config.get(\"num_patches\",","(c) Facebook, Inc. and its affiliates. All Rights Reserved import logging import math","i, j] + patch_size, ] assert patch.shape[1] == patch_size, \"Image not cropped properly\"","x H x W \"\"\" data = [] grid_size = int(image.shape[1] / self.grid_side_len)","i, j] : jitter[0, i, j] + patch_size, ] assert patch.shape[1] == patch_size,","image patches from a torch Tensor or numpy array. This transform was proposed","jitter[0, i, j] + patch_size, ] assert patch.shape[1] == patch_size, \"Image not cropped","-> \"ImgPatchesFromTensor\": \"\"\" Instantiates ImgPatchesFromTensor from configuration. Args: config (Dict): arguments for for",":, jitter[1, i, j] : jitter[1, i, j] + patch_size, jitter[0, i, j]","range(self.grid_side_len): for j in range(self.grid_side_len): x_offset = i * grid_size y_offset = j","+ patch_size, ] assert patch.shape[1] == patch_size, \"Image not cropped properly\" assert patch.shape[2]","num_patches = config.get(\"num_patches\", 9) patch_jitter = config.get(\"patch_jitter\", 21) logging.info(f\"ImgPatchesFromTensor | Using num_patches: {num_patches}\")","config.get(\"num_patches\", 9) patch_jitter = config.get(\"patch_jitter\", 21) logging.info(f\"ImgPatchesFromTensor | Using num_patches: {num_patches}\") logging.info(f\"ImgPatchesFromTensor |","Tensor or numpy array. This transform was proposed in Jigsaw - https://arxiv.org/abs/1603.09246 Args:","numpy array. This transform was proposed in Jigsaw - https://arxiv.org/abs/1603.09246 Args: num_patches (int):","= int(math.sqrt(self.num_patches)) # usually = 3 logging.info( f\"ImgPatchesFromTensor: num_patches: {num_patches} \" f\"patch_jitter: {patch_jitter}\"","from classy_vision.dataset.transforms import register_transform from classy_vision.dataset.transforms.classy_transform import ClassyTransform @register_transform(\"ImgPatchesFromTensor\") class ImgPatchesFromTensor(ClassyTransform): \"\"\" Create","torch.Tensor object of shape 3 x H x W \"\"\" data = []","@register_transform(\"ImgPatchesFromTensor\") class ImgPatchesFromTensor(ClassyTransform): \"\"\" Create image patches from a torch Tensor or numpy","memory data.append(np.copy(patch)) return data @classmethod def from_config(cls, config: Dict[str, Any]) -> \"ImgPatchesFromTensor\": \"\"\"","0, \"Negative jitter not supported\" self.grid_side_len = int(math.sqrt(self.num_patches)) # usually = 3 logging.info(","arguments for for the transform Returns: ImgPatchesFromTensor instance. \"\"\" num_patches = config.get(\"num_patches\", 9)","jitter[1, i, j] : jitter[1, i, j] + patch_size, jitter[0, i, j] :","logging.info( f\"ImgPatchesFromTensor: num_patches: {num_patches} \" f\"patch_jitter: {patch_jitter}\" ) def __call__(self, image): \"\"\" Input","data = [] grid_size = int(image.shape[1] / self.grid_side_len) patch_size = grid_size - self.patch_jitter","def from_config(cls, config: Dict[str, Any]) -> \"ImgPatchesFromTensor\": \"\"\" Instantiates ImgPatchesFromTensor from configuration. Args:","j] : jitter[1, i, j] + patch_size, jitter[0, i, j] : jitter[0, i,","Inc. and its affiliates. All Rights Reserved import logging import math from typing","numpy as np from classy_vision.dataset.transforms import register_transform from classy_vision.dataset.transforms.classy_transform import ClassyTransform @register_transform(\"ImgPatchesFromTensor\") class","Input image which is a torch.Tensor object of shape 3 x H x","\"\"\" Create image patches from a torch Tensor or numpy array. This transform","(int): how many image patches to create patch_jitter (int): space to leave between","{patch_jitter}\" ) def __call__(self, image): \"\"\" Input image which is a torch.Tensor object",": y_offset + grid_size, x_offset : x_offset + grid_size ] patch = grid_cell[","def __call__(self, image): \"\"\" Input image which is a torch.Tensor object of shape","from configuration. Args: config (Dict): arguments for for the transform Returns: ImgPatchesFromTensor instance.","ImgPatchesFromTensor instance. \"\"\" num_patches = config.get(\"num_patches\", 9) patch_jitter = config.get(\"patch_jitter\", 21) logging.info(f\"ImgPatchesFromTensor |","num_patches: {num_patches} \" f\"patch_jitter: {patch_jitter}\" ) def __call__(self, image): \"\"\" Input image which","\"\"\" def __init__(self, num_patches=9, patch_jitter=21): self.num_patches = num_patches self.patch_jitter = patch_jitter assert self.patch_jitter","usually = 3 logging.info( f\"ImgPatchesFromTensor: num_patches: {num_patches} \" f\"patch_jitter: {patch_jitter}\" ) def __call__(self,","import logging import math from typing import Any, Dict import numpy as np","patch_size, jitter[0, i, j] : jitter[0, i, j] + patch_size, ] assert patch.shape[1]","Any, Dict import numpy as np from classy_vision.dataset.transforms import register_transform from classy_vision.dataset.transforms.classy_transform import","image): \"\"\" Input image which is a torch.Tensor object of shape 3 x","int(math.sqrt(self.num_patches)) # usually = 3 logging.info( f\"ImgPatchesFromTensor: num_patches: {num_patches} \" f\"patch_jitter: {patch_jitter}\" )","are different in underlying memory data.append(np.copy(patch)) return data @classmethod def from_config(cls, config: Dict[str,","classy_vision.dataset.transforms import register_transform from classy_vision.dataset.transforms.classy_transform import ClassyTransform @register_transform(\"ImgPatchesFromTensor\") class ImgPatchesFromTensor(ClassyTransform): \"\"\" Create image","i in range(self.grid_side_len): for j in range(self.grid_side_len): x_offset = i * grid_size y_offset","affiliates. All Rights Reserved import logging import math from typing import Any, Dict","j * grid_size grid_cell = image[ :, y_offset : y_offset + grid_size, x_offset","f\"ImgPatchesFromTensor: num_patches: {num_patches} \" f\"patch_jitter: {patch_jitter}\" ) def __call__(self, image): \"\"\" Input image","grid_size y_offset = j * grid_size grid_cell = image[ :, y_offset : y_offset","# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved import logging","np.random.randint( 0, self.patch_jitter, (2, self.grid_side_len, self.grid_side_len) ) for i in range(self.grid_side_len): for j","x_offset : x_offset + grid_size ] patch = grid_cell[ :, jitter[1, i, j]","was proposed in Jigsaw - https://arxiv.org/abs/1603.09246 Args: num_patches (int): how many image patches"],"string":"[\n \"= grid_cell[ :, jitter[1, i, j] : jitter[1, i, j] + patch_size, jitter[0,\",\n \"or numpy array. This transform was proposed in Jigsaw - https://arxiv.org/abs/1603.09246 Args: num_patches\",\n \"cropped properly\\\" # copy patch data so that all patches are different in\",\n \"properly\\\" # copy patch data so that all patches are different in underlying\",\n \"> 0, \\\"Negative jitter not supported\\\" self.grid_side_len = int(math.sqrt(self.num_patches)) # usually = 3\",\n \"config (Dict): arguments for for the transform Returns: ImgPatchesFromTensor instance. \\\"\\\"\\\" num_patches =\",\n \"grid_size ] patch = grid_cell[ :, jitter[1, i, j] : jitter[1, i, j]\",\n \"different in underlying memory data.append(np.copy(patch)) return data @classmethod def from_config(cls, config: Dict[str, Any])\",\n \"* grid_size grid_cell = image[ :, y_offset : y_offset + grid_size, x_offset :\",\n \"+ grid_size ] patch = grid_cell[ :, jitter[1, i, j] : jitter[1, i,\",\n \": jitter[0, i, j] + patch_size, ] assert patch.shape[1] == patch_size, \\\"Image not\",\n \"image[ :, y_offset : y_offset + grid_size, x_offset : x_offset + grid_size ]\",\n \"proposed in Jigsaw - https://arxiv.org/abs/1603.09246 Args: num_patches (int): how many image patches to\",\n \"jitter[1, i, j] + patch_size, jitter[0, i, j] : jitter[0, i, j] +\",\n \"Any]) -> \\\"ImgPatchesFromTensor\\\": \\\"\\\"\\\" Instantiates ImgPatchesFromTensor from configuration. Args: config (Dict): arguments for\",\n \"from a torch Tensor or numpy array. This transform was proposed in Jigsaw\",\n \"+ grid_size, x_offset : x_offset + grid_size ] patch = grid_cell[ :, jitter[1,\",\n \"y_offset = j * grid_size grid_cell = image[ :, y_offset : y_offset +\",\n \"classy_vision.dataset.transforms.classy_transform import ClassyTransform @register_transform(\\\"ImgPatchesFromTensor\\\") class ImgPatchesFromTensor(ClassyTransform): \\\"\\\"\\\" Create image patches from a torch\",\n \"patch_jitter (int): space to leave between patches \\\"\\\"\\\" def __init__(self, num_patches=9, patch_jitter=21): self.num_patches\",\n \"j in range(self.grid_side_len): x_offset = i * grid_size y_offset = j * grid_size\",\n \"instance. \\\"\\\"\\\" num_patches = config.get(\\\"num_patches\\\", 9) patch_jitter = config.get(\\\"patch_jitter\\\", 21) logging.info(f\\\"ImgPatchesFromTensor | Using\",\n \"Instantiates ImgPatchesFromTensor from configuration. Args: config (Dict): arguments for for the transform Returns:\",\n \"for for the transform Returns: ImgPatchesFromTensor instance. \\\"\\\"\\\" num_patches = config.get(\\\"num_patches\\\", 9) patch_jitter\",\n \"and its affiliates. All Rights Reserved import logging import math from typing import\",\n \"i, j] + patch_size, jitter[0, i, j] : jitter[0, i, j] + patch_size,\",\n \"<filename>swav/vissl/vissl/data/ssl_transforms/img_patches_tensor.py # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved import\",\n \"logging import math from typing import Any, Dict import numpy as np from\",\n \"import math from typing import Any, Dict import numpy as np from classy_vision.dataset.transforms\",\n \"patch = grid_cell[ :, jitter[1, i, j] : jitter[1, i, j] + patch_size,\",\n \"patch_size, ] assert patch.shape[1] == patch_size, \\\"Image not cropped properly\\\" assert patch.shape[2] ==\",\n \"== patch_size, \\\"Image not cropped properly\\\" # copy patch data so that all\",\n \"in underlying memory data.append(np.copy(patch)) return data @classmethod def from_config(cls, config: Dict[str, Any]) ->\",\n \"\\\"\\\"\\\" num_patches = config.get(\\\"num_patches\\\", 9) patch_jitter = config.get(\\\"patch_jitter\\\", 21) logging.info(f\\\"ImgPatchesFromTensor | Using num_patches:\",\n \"patch data so that all patches are different in underlying memory data.append(np.copy(patch)) return\",\n \"config: Dict[str, Any]) -> \\\"ImgPatchesFromTensor\\\": \\\"\\\"\\\" Instantiates ImgPatchesFromTensor from configuration. Args: config (Dict):\",\n \"config.get(\\\"patch_jitter\\\", 21) logging.info(f\\\"ImgPatchesFromTensor | Using num_patches: {num_patches}\\\") logging.info(f\\\"ImgPatchesFromTensor | Using patch_jitter: {patch_jitter}\\\") return\",\n \"the transform Returns: ImgPatchesFromTensor instance. \\\"\\\"\\\" num_patches = config.get(\\\"num_patches\\\", 9) patch_jitter = config.get(\\\"patch_jitter\\\",\",\n \"patches from a torch Tensor or numpy array. This transform was proposed in\",\n \"= image[ :, y_offset : y_offset + grid_size, x_offset : x_offset + grid_size\",\n \"logging.info(f\\\"ImgPatchesFromTensor | Using num_patches: {num_patches}\\\") logging.info(f\\\"ImgPatchesFromTensor | Using patch_jitter: {patch_jitter}\\\") return cls(num_patches=num_patches, patch_jitter=patch_jitter)\",\n \"Rights Reserved import logging import math from typing import Any, Dict import numpy\",\n \") for i in range(self.grid_side_len): for j in range(self.grid_side_len): x_offset = i *\",\n \"num_patches self.patch_jitter = patch_jitter assert self.patch_jitter > 0, \\\"Negative jitter not supported\\\" self.grid_side_len\",\n \"__call__(self, image): \\\"\\\"\\\" Input image which is a torch.Tensor object of shape 3\",\n \"patch_jitter = config.get(\\\"patch_jitter\\\", 21) logging.info(f\\\"ImgPatchesFromTensor | Using num_patches: {num_patches}\\\") logging.info(f\\\"ImgPatchesFromTensor | Using patch_jitter:\",\n \"from classy_vision.dataset.transforms.classy_transform import ClassyTransform @register_transform(\\\"ImgPatchesFromTensor\\\") class ImgPatchesFromTensor(ClassyTransform): \\\"\\\"\\\" Create image patches from a\",\n \"/ self.grid_side_len) patch_size = grid_size - self.patch_jitter jitter = np.random.randint( 0, self.patch_jitter, (2,\",\n \"patches are different in underlying memory data.append(np.copy(patch)) return data @classmethod def from_config(cls, config:\",\n \"Create image patches from a torch Tensor or numpy array. This transform was\",\n \"many image patches to create patch_jitter (int): space to leave between patches \\\"\\\"\\\"\",\n \"\\\"\\\"\\\" Input image which is a torch.Tensor object of shape 3 x H\",\n \"as np from classy_vision.dataset.transforms import register_transform from classy_vision.dataset.transforms.classy_transform import ClassyTransform @register_transform(\\\"ImgPatchesFromTensor\\\") class ImgPatchesFromTensor(ClassyTransform):\",\n \"how many image patches to create patch_jitter (int): space to leave between patches\",\n \"\\\"Image not cropped properly\\\" assert patch.shape[2] == patch_size, \\\"Image not cropped properly\\\" #\",\n \"for the transform Returns: ImgPatchesFromTensor instance. \\\"\\\"\\\" num_patches = config.get(\\\"num_patches\\\", 9) patch_jitter =\",\n \"of shape 3 x H x W \\\"\\\"\\\" data = [] grid_size =\",\n \"object of shape 3 x H x W \\\"\\\"\\\" data = [] grid_size\",\n \"assert patch.shape[2] == patch_size, \\\"Image not cropped properly\\\" # copy patch data so\",\n \"import numpy as np from classy_vision.dataset.transforms import register_transform from classy_vision.dataset.transforms.classy_transform import ClassyTransform @register_transform(\\\"ImgPatchesFromTensor\\\")\",\n \"to create patch_jitter (int): space to leave between patches \\\"\\\"\\\" def __init__(self, num_patches=9,\",\n \"= config.get(\\\"num_patches\\\", 9) patch_jitter = config.get(\\\"patch_jitter\\\", 21) logging.info(f\\\"ImgPatchesFromTensor | Using num_patches: {num_patches}\\\") logging.info(f\\\"ImgPatchesFromTensor\",\n \"its affiliates. All Rights Reserved import logging import math from typing import Any,\",\n \"patch_jitter=21): self.num_patches = num_patches self.patch_jitter = patch_jitter assert self.patch_jitter > 0, \\\"Negative jitter\",\n \"from_config(cls, config: Dict[str, Any]) -> \\\"ImgPatchesFromTensor\\\": \\\"\\\"\\\" Instantiates ImgPatchesFromTensor from configuration. Args: config\",\n \"= int(image.shape[1] / self.grid_side_len) patch_size = grid_size - self.patch_jitter jitter = np.random.randint( 0,\",\n \"import ClassyTransform @register_transform(\\\"ImgPatchesFromTensor\\\") class ImgPatchesFromTensor(ClassyTransform): \\\"\\\"\\\" Create image patches from a torch Tensor\",\n \"y_offset + grid_size, x_offset : x_offset + grid_size ] patch = grid_cell[ :,\",\n \"Args: num_patches (int): how many image patches to create patch_jitter (int): space to\",\n \"shape 3 x H x W \\\"\\\"\\\" data = [] grid_size = int(image.shape[1]\",\n \"= i * grid_size y_offset = j * grid_size grid_cell = image[ :,\",\n \"def __init__(self, num_patches=9, patch_jitter=21): self.num_patches = num_patches self.patch_jitter = patch_jitter assert self.patch_jitter >\",\n \"torch Tensor or numpy array. This transform was proposed in Jigsaw - https://arxiv.org/abs/1603.09246\",\n \"self.patch_jitter jitter = np.random.randint( 0, self.patch_jitter, (2, self.grid_side_len, self.grid_side_len) ) for i in\",\n \"9) patch_jitter = config.get(\\\"patch_jitter\\\", 21) logging.info(f\\\"ImgPatchesFromTensor | Using num_patches: {num_patches}\\\") logging.info(f\\\"ImgPatchesFromTensor | Using\",\n \"grid_size - self.patch_jitter jitter = np.random.randint( 0, self.patch_jitter, (2, self.grid_side_len, self.grid_side_len) ) for\",\n \"(int): space to leave between patches \\\"\\\"\\\" def __init__(self, num_patches=9, patch_jitter=21): self.num_patches =\",\n \"in range(self.grid_side_len): x_offset = i * grid_size y_offset = j * grid_size grid_cell\",\n \"[] grid_size = int(image.shape[1] / self.grid_side_len) patch_size = grid_size - self.patch_jitter jitter =\",\n \"math from typing import Any, Dict import numpy as np from classy_vision.dataset.transforms import\",\n \"x W \\\"\\\"\\\" data = [] grid_size = int(image.shape[1] / self.grid_side_len) patch_size =\",\n \"self.grid_side_len, self.grid_side_len) ) for i in range(self.grid_side_len): for j in range(self.grid_side_len): x_offset =\",\n \"int(image.shape[1] / self.grid_side_len) patch_size = grid_size - self.patch_jitter jitter = np.random.randint( 0, self.patch_jitter,\",\n \"grid_size grid_cell = image[ :, y_offset : y_offset + grid_size, x_offset : x_offset\",\n \"num_patches=9, patch_jitter=21): self.num_patches = num_patches self.patch_jitter = patch_jitter assert self.patch_jitter > 0, \\\"Negative\",\n \"array. This transform was proposed in Jigsaw - https://arxiv.org/abs/1603.09246 Args: num_patches (int): how\",\n \": x_offset + grid_size ] patch = grid_cell[ :, jitter[1, i, j] :\",\n \"] patch = grid_cell[ :, jitter[1, i, j] : jitter[1, i, j] +\",\n \"a torch.Tensor object of shape 3 x H x W \\\"\\\"\\\" data =\",\n \"+ patch_size, jitter[0, i, j] : jitter[0, i, j] + patch_size, ] assert\",\n \"Returns: ImgPatchesFromTensor instance. \\\"\\\"\\\" num_patches = config.get(\\\"num_patches\\\", 9) patch_jitter = config.get(\\\"patch_jitter\\\", 21) logging.info(f\\\"ImgPatchesFromTensor\",\n \"i * grid_size y_offset = j * grid_size grid_cell = image[ :, y_offset\",\n \"- https://arxiv.org/abs/1603.09246 Args: num_patches (int): how many image patches to create patch_jitter (int):\",\n \"jitter = np.random.randint( 0, self.patch_jitter, (2, self.grid_side_len, self.grid_side_len) ) for i in range(self.grid_side_len):\",\n \"j] + patch_size, jitter[0, i, j] : jitter[0, i, j] + patch_size, ]\",\n \"Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved import logging import\",\n \"Dict[str, Any]) -> \\\"ImgPatchesFromTensor\\\": \\\"\\\"\\\" Instantiates ImgPatchesFromTensor from configuration. Args: config (Dict): arguments\",\n \"cropped properly\\\" assert patch.shape[2] == patch_size, \\\"Image not cropped properly\\\" # copy patch\",\n \"{num_patches} \\\" f\\\"patch_jitter: {patch_jitter}\\\" ) def __call__(self, image): \\\"\\\"\\\" Input image which is\",\n \"ImgPatchesFromTensor from configuration. Args: config (Dict): arguments for for the transform Returns: ImgPatchesFromTensor\",\n \"== patch_size, \\\"Image not cropped properly\\\" assert patch.shape[2] == patch_size, \\\"Image not cropped\",\n \"self.grid_side_len) ) for i in range(self.grid_side_len): for j in range(self.grid_side_len): x_offset = i\",\n \"self.num_patches = num_patches self.patch_jitter = patch_jitter assert self.patch_jitter > 0, \\\"Negative jitter not\",\n \"supported\\\" self.grid_side_len = int(math.sqrt(self.num_patches)) # usually = 3 logging.info( f\\\"ImgPatchesFromTensor: num_patches: {num_patches} \\\"\",\n \"data.append(np.copy(patch)) return data @classmethod def from_config(cls, config: Dict[str, Any]) -> \\\"ImgPatchesFromTensor\\\": \\\"\\\"\\\" Instantiates\",\n \"patch.shape[2] == patch_size, \\\"Image not cropped properly\\\" # copy patch data so that\",\n \"Facebook, Inc. and its affiliates. All Rights Reserved import logging import math from\",\n \"@classmethod def from_config(cls, config: Dict[str, Any]) -> \\\"ImgPatchesFromTensor\\\": \\\"\\\"\\\" Instantiates ImgPatchesFromTensor from configuration.\",\n \"grid_cell[ :, jitter[1, i, j] : jitter[1, i, j] + patch_size, jitter[0, i,\",\n \"num_patches (int): how many image patches to create patch_jitter (int): space to leave\",\n \"grid_size = int(image.shape[1] / self.grid_side_len) patch_size = grid_size - self.patch_jitter jitter = np.random.randint(\",\n \"patch_jitter assert self.patch_jitter > 0, \\\"Negative jitter not supported\\\" self.grid_side_len = int(math.sqrt(self.num_patches)) #\",\n \"a torch Tensor or numpy array. This transform was proposed in Jigsaw -\",\n \"assert self.patch_jitter > 0, \\\"Negative jitter not supported\\\" self.grid_side_len = int(math.sqrt(self.num_patches)) # usually\",\n \"\\\" f\\\"patch_jitter: {patch_jitter}\\\" ) def __call__(self, image): \\\"\\\"\\\" Input image which is a\",\n \"grid_cell = image[ :, y_offset : y_offset + grid_size, x_offset : x_offset +\",\n \"grid_size, x_offset : x_offset + grid_size ] patch = grid_cell[ :, jitter[1, i,\",\n \"] assert patch.shape[1] == patch_size, \\\"Image not cropped properly\\\" assert patch.shape[2] == patch_size,\",\n \"ImgPatchesFromTensor(ClassyTransform): \\\"\\\"\\\" Create image patches from a torch Tensor or numpy array. This\",\n \"in Jigsaw - https://arxiv.org/abs/1603.09246 Args: num_patches (int): how many image patches to create\",\n \"which is a torch.Tensor object of shape 3 x H x W \\\"\\\"\\\"\",\n \"= num_patches self.patch_jitter = patch_jitter assert self.patch_jitter > 0, \\\"Negative jitter not supported\\\"\",\n \"self.grid_side_len) patch_size = grid_size - self.patch_jitter jitter = np.random.randint( 0, self.patch_jitter, (2, self.grid_side_len,\",\n \"jitter not supported\\\" self.grid_side_len = int(math.sqrt(self.num_patches)) # usually = 3 logging.info( f\\\"ImgPatchesFromTensor: num_patches:\",\n \"import Any, Dict import numpy as np from classy_vision.dataset.transforms import register_transform from classy_vision.dataset.transforms.classy_transform\",\n \"x_offset + grid_size ] patch = grid_cell[ :, jitter[1, i, j] : jitter[1,\",\n \"3 x H x W \\\"\\\"\\\" data = [] grid_size = int(image.shape[1] /\",\n \"This transform was proposed in Jigsaw - https://arxiv.org/abs/1603.09246 Args: num_patches (int): how many\",\n \"# usually = 3 logging.info( f\\\"ImgPatchesFromTensor: num_patches: {num_patches} \\\" f\\\"patch_jitter: {patch_jitter}\\\" ) def\",\n \"from typing import Any, Dict import numpy as np from classy_vision.dataset.transforms import register_transform\",\n \"register_transform from classy_vision.dataset.transforms.classy_transform import ClassyTransform @register_transform(\\\"ImgPatchesFromTensor\\\") class ImgPatchesFromTensor(ClassyTransform): \\\"\\\"\\\" Create image patches from\",\n \"not supported\\\" self.grid_side_len = int(math.sqrt(self.num_patches)) # usually = 3 logging.info( f\\\"ImgPatchesFromTensor: num_patches: {num_patches}\",\n \"patch_size = grid_size - self.patch_jitter jitter = np.random.randint( 0, self.patch_jitter, (2, self.grid_side_len, self.grid_side_len)\",\n \"import register_transform from classy_vision.dataset.transforms.classy_transform import ClassyTransform @register_transform(\\\"ImgPatchesFromTensor\\\") class ImgPatchesFromTensor(ClassyTransform): \\\"\\\"\\\" Create image patches\",\n \"self.patch_jitter = patch_jitter assert self.patch_jitter > 0, \\\"Negative jitter not supported\\\" self.grid_side_len =\",\n \"3 logging.info( f\\\"ImgPatchesFromTensor: num_patches: {num_patches} \\\" f\\\"patch_jitter: {patch_jitter}\\\" ) def __call__(self, image): \\\"\\\"\\\"\",\n \"not cropped properly\\\" # copy patch data so that all patches are different\",\n \": jitter[1, i, j] + patch_size, jitter[0, i, j] : jitter[0, i, j]\",\n \"\\\"ImgPatchesFromTensor\\\": \\\"\\\"\\\" Instantiates ImgPatchesFromTensor from configuration. Args: config (Dict): arguments for for the\",\n \"so that all patches are different in underlying memory data.append(np.copy(patch)) return data @classmethod\",\n \"between patches \\\"\\\"\\\" def __init__(self, num_patches=9, patch_jitter=21): self.num_patches = num_patches self.patch_jitter = patch_jitter\",\n \"self.patch_jitter, (2, self.grid_side_len, self.grid_side_len) ) for i in range(self.grid_side_len): for j in range(self.grid_side_len):\",\n \"in range(self.grid_side_len): for j in range(self.grid_side_len): x_offset = i * grid_size y_offset =\",\n \"create patch_jitter (int): space to leave between patches \\\"\\\"\\\" def __init__(self, num_patches=9, patch_jitter=21):\",\n \"transform Returns: ImgPatchesFromTensor instance. \\\"\\\"\\\" num_patches = config.get(\\\"num_patches\\\", 9) patch_jitter = config.get(\\\"patch_jitter\\\", 21)\",\n \"\\\"\\\"\\\" Instantiates ImgPatchesFromTensor from configuration. Args: config (Dict): arguments for for the transform\",\n \"to leave between patches \\\"\\\"\\\" def __init__(self, num_patches=9, patch_jitter=21): self.num_patches = num_patches self.patch_jitter\",\n \"image patches to create patch_jitter (int): space to leave between patches \\\"\\\"\\\" def\",\n \"\\\"Negative jitter not supported\\\" self.grid_side_len = int(math.sqrt(self.num_patches)) # usually = 3 logging.info( f\\\"ImgPatchesFromTensor:\",\n \"f\\\"patch_jitter: {patch_jitter}\\\" ) def __call__(self, image): \\\"\\\"\\\" Input image which is a torch.Tensor\",\n \"jitter[0, i, j] : jitter[0, i, j] + patch_size, ] assert patch.shape[1] ==\",\n \"# copy patch data so that all patches are different in underlying memory\",\n \"Jigsaw - https://arxiv.org/abs/1603.09246 Args: num_patches (int): how many image patches to create patch_jitter\",\n \"space to leave between patches \\\"\\\"\\\" def __init__(self, num_patches=9, patch_jitter=21): self.num_patches = num_patches\",\n \"W \\\"\\\"\\\" data = [] grid_size = int(image.shape[1] / self.grid_side_len) patch_size = grid_size\",\n \"x_offset = i * grid_size y_offset = j * grid_size grid_cell = image[\",\n \"data @classmethod def from_config(cls, config: Dict[str, Any]) -> \\\"ImgPatchesFromTensor\\\": \\\"\\\"\\\" Instantiates ImgPatchesFromTensor from\",\n \"j] : jitter[0, i, j] + patch_size, ] assert patch.shape[1] == patch_size, \\\"Image\",\n \"y_offset : y_offset + grid_size, x_offset : x_offset + grid_size ] patch =\",\n \"patch_size, \\\"Image not cropped properly\\\" assert patch.shape[2] == patch_size, \\\"Image not cropped properly\\\"\",\n \"np from classy_vision.dataset.transforms import register_transform from classy_vision.dataset.transforms.classy_transform import ClassyTransform @register_transform(\\\"ImgPatchesFromTensor\\\") class ImgPatchesFromTensor(ClassyTransform): \\\"\\\"\\\"\",\n \"not cropped properly\\\" assert patch.shape[2] == patch_size, \\\"Image not cropped properly\\\" # copy\",\n \"for j in range(self.grid_side_len): x_offset = i * grid_size y_offset = j *\",\n \"Dict import numpy as np from classy_vision.dataset.transforms import register_transform from classy_vision.dataset.transforms.classy_transform import ClassyTransform\",\n \"* grid_size y_offset = j * grid_size grid_cell = image[ :, y_offset :\",\n \"\\\"\\\"\\\" data = [] grid_size = int(image.shape[1] / self.grid_side_len) patch_size = grid_size -\",\n \"= grid_size - self.patch_jitter jitter = np.random.randint( 0, self.patch_jitter, (2, self.grid_side_len, self.grid_side_len) )\",\n \":, y_offset : y_offset + grid_size, x_offset : x_offset + grid_size ] patch\",\n \"assert patch.shape[1] == patch_size, \\\"Image not cropped properly\\\" assert patch.shape[2] == patch_size, \\\"Image\",\n \"= config.get(\\\"patch_jitter\\\", 21) logging.info(f\\\"ImgPatchesFromTensor | Using num_patches: {num_patches}\\\") logging.info(f\\\"ImgPatchesFromTensor | Using patch_jitter: {patch_jitter}\\\")\",\n \"21) logging.info(f\\\"ImgPatchesFromTensor | Using num_patches: {num_patches}\\\") logging.info(f\\\"ImgPatchesFromTensor | Using patch_jitter: {patch_jitter}\\\") return cls(num_patches=num_patches,\",\n \"All Rights Reserved import logging import math from typing import Any, Dict import\",\n \"leave between patches \\\"\\\"\\\" def __init__(self, num_patches=9, patch_jitter=21): self.num_patches = num_patches self.patch_jitter =\",\n \"range(self.grid_side_len): x_offset = i * grid_size y_offset = j * grid_size grid_cell =\",\n \"__init__(self, num_patches=9, patch_jitter=21): self.num_patches = num_patches self.patch_jitter = patch_jitter assert self.patch_jitter > 0,\",\n \"H x W \\\"\\\"\\\" data = [] grid_size = int(image.shape[1] / self.grid_side_len) patch_size\",\n \"transform was proposed in Jigsaw - https://arxiv.org/abs/1603.09246 Args: num_patches (int): how many image\",\n \"i, j] : jitter[1, i, j] + patch_size, jitter[0, i, j] : jitter[0,\",\n \"data so that all patches are different in underlying memory data.append(np.copy(patch)) return data\",\n \"underlying memory data.append(np.copy(patch)) return data @classmethod def from_config(cls, config: Dict[str, Any]) -> \\\"ImgPatchesFromTensor\\\":\",\n \"configuration. Args: config (Dict): arguments for for the transform Returns: ImgPatchesFromTensor instance. \\\"\\\"\\\"\",\n \"return data @classmethod def from_config(cls, config: Dict[str, Any]) -> \\\"ImgPatchesFromTensor\\\": \\\"\\\"\\\" Instantiates ImgPatchesFromTensor\",\n \"patch_size, \\\"Image not cropped properly\\\" # copy patch data so that all patches\",\n \"self.grid_side_len = int(math.sqrt(self.num_patches)) # usually = 3 logging.info( f\\\"ImgPatchesFromTensor: num_patches: {num_patches} \\\" f\\\"patch_jitter:\",\n \"j] + patch_size, ] assert patch.shape[1] == patch_size, \\\"Image not cropped properly\\\" assert\",\n \"= 3 logging.info( f\\\"ImgPatchesFromTensor: num_patches: {num_patches} \\\" f\\\"patch_jitter: {patch_jitter}\\\" ) def __call__(self, image):\",\n \"patches to create patch_jitter (int): space to leave between patches \\\"\\\"\\\" def __init__(self,\",\n \"patches \\\"\\\"\\\" def __init__(self, num_patches=9, patch_jitter=21): self.num_patches = num_patches self.patch_jitter = patch_jitter assert\",\n \"= patch_jitter assert self.patch_jitter > 0, \\\"Negative jitter not supported\\\" self.grid_side_len = int(math.sqrt(self.num_patches))\",\n \"image which is a torch.Tensor object of shape 3 x H x W\",\n \"is a torch.Tensor object of shape 3 x H x W \\\"\\\"\\\" data\",\n \"= [] grid_size = int(image.shape[1] / self.grid_side_len) patch_size = grid_size - self.patch_jitter jitter\",\n \"(2, self.grid_side_len, self.grid_side_len) ) for i in range(self.grid_side_len): for j in range(self.grid_side_len): x_offset\",\n \"copy patch data so that all patches are different in underlying memory data.append(np.copy(patch))\",\n \"that all patches are different in underlying memory data.append(np.copy(patch)) return data @classmethod def\",\n \"self.patch_jitter > 0, \\\"Negative jitter not supported\\\" self.grid_side_len = int(math.sqrt(self.num_patches)) # usually =\",\n \"0, self.patch_jitter, (2, self.grid_side_len, self.grid_side_len) ) for i in range(self.grid_side_len): for j in\",\n \"patch.shape[1] == patch_size, \\\"Image not cropped properly\\\" assert patch.shape[2] == patch_size, \\\"Image not\",\n \"ClassyTransform @register_transform(\\\"ImgPatchesFromTensor\\\") class ImgPatchesFromTensor(ClassyTransform): \\\"\\\"\\\" Create image patches from a torch Tensor or\",\n \"= np.random.randint( 0, self.patch_jitter, (2, self.grid_side_len, self.grid_side_len) ) for i in range(self.grid_side_len): for\",\n \"properly\\\" assert patch.shape[2] == patch_size, \\\"Image not cropped properly\\\" # copy patch data\",\n \"class ImgPatchesFromTensor(ClassyTransform): \\\"\\\"\\\" Create image patches from a torch Tensor or numpy array.\",\n \"all patches are different in underlying memory data.append(np.copy(patch)) return data @classmethod def from_config(cls,\",\n \") def __call__(self, image): \\\"\\\"\\\" Input image which is a torch.Tensor object of\",\n \"- self.patch_jitter jitter = np.random.randint( 0, self.patch_jitter, (2, self.grid_side_len, self.grid_side_len) ) for i\",\n \"for i in range(self.grid_side_len): for j in range(self.grid_side_len): x_offset = i * grid_size\",\n \"typing import Any, Dict import numpy as np from classy_vision.dataset.transforms import register_transform from\",\n \"= j * grid_size grid_cell = image[ :, y_offset : y_offset + grid_size,\",\n \"Args: config (Dict): arguments for for the transform Returns: ImgPatchesFromTensor instance. \\\"\\\"\\\" num_patches\",\n \"https://arxiv.org/abs/1603.09246 Args: num_patches (int): how many image patches to create patch_jitter (int): space\",\n \"Reserved import logging import math from typing import Any, Dict import numpy as\",\n \"\\\"Image not cropped properly\\\" # copy patch data so that all patches are\",\n \"(Dict): arguments for for the transform Returns: ImgPatchesFromTensor instance. \\\"\\\"\\\" num_patches = config.get(\\\"num_patches\\\",\",\n \"(c) Facebook, Inc. and its affiliates. All Rights Reserved import logging import math\",\n \"i, j] + patch_size, ] assert patch.shape[1] == patch_size, \\\"Image not cropped properly\\\"\",\n \"x H x W \\\"\\\"\\\" data = [] grid_size = int(image.shape[1] / self.grid_side_len)\",\n \"i, j] : jitter[0, i, j] + patch_size, ] assert patch.shape[1] == patch_size,\",\n \"image patches from a torch Tensor or numpy array. This transform was proposed\",\n \"jitter[0, i, j] + patch_size, ] assert patch.shape[1] == patch_size, \\\"Image not cropped\",\n \"-> \\\"ImgPatchesFromTensor\\\": \\\"\\\"\\\" Instantiates ImgPatchesFromTensor from configuration. Args: config (Dict): arguments for for\",\n \":, jitter[1, i, j] : jitter[1, i, j] + patch_size, jitter[0, i, j]\",\n \"range(self.grid_side_len): for j in range(self.grid_side_len): x_offset = i * grid_size y_offset = j\",\n \"+ patch_size, ] assert patch.shape[1] == patch_size, \\\"Image not cropped properly\\\" assert patch.shape[2]\",\n \"num_patches = config.get(\\\"num_patches\\\", 9) patch_jitter = config.get(\\\"patch_jitter\\\", 21) logging.info(f\\\"ImgPatchesFromTensor | Using num_patches: {num_patches}\\\")\",\n \"config.get(\\\"num_patches\\\", 9) patch_jitter = config.get(\\\"patch_jitter\\\", 21) logging.info(f\\\"ImgPatchesFromTensor | Using num_patches: {num_patches}\\\") logging.info(f\\\"ImgPatchesFromTensor |\",\n \"Tensor or numpy array. This transform was proposed in Jigsaw - https://arxiv.org/abs/1603.09246 Args:\",\n \"numpy array. This transform was proposed in Jigsaw - https://arxiv.org/abs/1603.09246 Args: num_patches (int):\",\n \"= int(math.sqrt(self.num_patches)) # usually = 3 logging.info( f\\\"ImgPatchesFromTensor: num_patches: {num_patches} \\\" f\\\"patch_jitter: {patch_jitter}\\\"\",\n \"from classy_vision.dataset.transforms import register_transform from classy_vision.dataset.transforms.classy_transform import ClassyTransform @register_transform(\\\"ImgPatchesFromTensor\\\") class ImgPatchesFromTensor(ClassyTransform): \\\"\\\"\\\" Create\",\n \"torch.Tensor object of shape 3 x H x W \\\"\\\"\\\" data = []\",\n \"@register_transform(\\\"ImgPatchesFromTensor\\\") class ImgPatchesFromTensor(ClassyTransform): \\\"\\\"\\\" Create image patches from a torch Tensor or numpy\",\n \"memory data.append(np.copy(patch)) return data @classmethod def from_config(cls, config: Dict[str, Any]) -> \\\"ImgPatchesFromTensor\\\": \\\"\\\"\\\"\",\n \"0, \\\"Negative jitter not supported\\\" self.grid_side_len = int(math.sqrt(self.num_patches)) # usually = 3 logging.info(\",\n \"arguments for for the transform Returns: ImgPatchesFromTensor instance. \\\"\\\"\\\" num_patches = config.get(\\\"num_patches\\\", 9)\",\n \"jitter[1, i, j] : jitter[1, i, j] + patch_size, jitter[0, i, j] :\",\n \"logging.info( f\\\"ImgPatchesFromTensor: num_patches: {num_patches} \\\" f\\\"patch_jitter: {patch_jitter}\\\" ) def __call__(self, image): \\\"\\\"\\\" Input\",\n \"data = [] grid_size = int(image.shape[1] / self.grid_side_len) patch_size = grid_size - self.patch_jitter\",\n \"def from_config(cls, config: Dict[str, Any]) -> \\\"ImgPatchesFromTensor\\\": \\\"\\\"\\\" Instantiates ImgPatchesFromTensor from configuration. Args:\",\n \"j] : jitter[1, i, j] + patch_size, jitter[0, i, j] : jitter[0, i,\",\n \"Inc. and its affiliates. All Rights Reserved import logging import math from typing\",\n \"numpy as np from classy_vision.dataset.transforms import register_transform from classy_vision.dataset.transforms.classy_transform import ClassyTransform @register_transform(\\\"ImgPatchesFromTensor\\\") class\",\n \"Input image which is a torch.Tensor object of shape 3 x H x\",\n \"\\\"\\\"\\\" Create image patches from a torch Tensor or numpy array. This transform\",\n \"(int): how many image patches to create patch_jitter (int): space to leave between\",\n \"{patch_jitter}\\\" ) def __call__(self, image): \\\"\\\"\\\" Input image which is a torch.Tensor object\",\n \": y_offset + grid_size, x_offset : x_offset + grid_size ] patch = grid_cell[\",\n \"def __call__(self, image): \\\"\\\"\\\" Input image which is a torch.Tensor object of shape\",\n \"from configuration. Args: config (Dict): arguments for for the transform Returns: ImgPatchesFromTensor instance.\",\n \"ImgPatchesFromTensor instance. \\\"\\\"\\\" num_patches = config.get(\\\"num_patches\\\", 9) patch_jitter = config.get(\\\"patch_jitter\\\", 21) logging.info(f\\\"ImgPatchesFromTensor |\",\n \"num_patches: {num_patches} \\\" f\\\"patch_jitter: {patch_jitter}\\\" ) def __call__(self, image): \\\"\\\"\\\" Input image which\",\n \"\\\"\\\"\\\" def __init__(self, num_patches=9, patch_jitter=21): self.num_patches = num_patches self.patch_jitter = patch_jitter assert self.patch_jitter\",\n \"usually = 3 logging.info( f\\\"ImgPatchesFromTensor: num_patches: {num_patches} \\\" f\\\"patch_jitter: {patch_jitter}\\\" ) def __call__(self,\",\n \"import logging import math from typing import Any, Dict import numpy as np\",\n \"patch_size, jitter[0, i, j] : jitter[0, i, j] + patch_size, ] assert patch.shape[1]\",\n \"Any, Dict import numpy as np from classy_vision.dataset.transforms import register_transform from classy_vision.dataset.transforms.classy_transform import\",\n \"image): \\\"\\\"\\\" Input image which is a torch.Tensor object of shape 3 x\",\n \"int(math.sqrt(self.num_patches)) # usually = 3 logging.info( f\\\"ImgPatchesFromTensor: num_patches: {num_patches} \\\" f\\\"patch_jitter: {patch_jitter}\\\" )\",\n \"are different in underlying memory data.append(np.copy(patch)) return data @classmethod def from_config(cls, config: Dict[str,\",\n \"classy_vision.dataset.transforms import register_transform from classy_vision.dataset.transforms.classy_transform import ClassyTransform @register_transform(\\\"ImgPatchesFromTensor\\\") class ImgPatchesFromTensor(ClassyTransform): \\\"\\\"\\\" Create image\",\n \"i in range(self.grid_side_len): for j in range(self.grid_side_len): x_offset = i * grid_size y_offset\",\n \"affiliates. All Rights Reserved import logging import math from typing import Any, Dict\",\n \"j * grid_size grid_cell = image[ :, y_offset : y_offset + grid_size, x_offset\",\n \"f\\\"ImgPatchesFromTensor: num_patches: {num_patches} \\\" f\\\"patch_jitter: {patch_jitter}\\\" ) def __call__(self, image): \\\"\\\"\\\" Input image\",\n \"grid_size y_offset = j * grid_size grid_cell = image[ :, y_offset : y_offset\",\n \"# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved import logging\",\n \"np.random.randint( 0, self.patch_jitter, (2, self.grid_side_len, self.grid_side_len) ) for i in range(self.grid_side_len): for j\",\n \"x_offset : x_offset + grid_size ] patch = grid_cell[ :, jitter[1, i, j]\",\n \"was proposed in Jigsaw - https://arxiv.org/abs/1603.09246 Args: num_patches (int): how many image patches\"\n]","isConversational":false}}},{"rowIdx":1276,"cells":{"ngram":{"kind":"list like","value":["host\" ) docker_task( \"jittor/jittor\", \"sudo docker build --tag jittor/jittor:latest . --network host\" )","# This file is subject to the terms and conditions defined in #","(c) 2022 Jittor. All Rights Reserved. # Maintainers: # <NAME> <<EMAIL>>. # #","docker build --tag jittor/jittor:latest . --network host\" ) docker_task( \"jittor/jittor-cuda\", \"sudo docker build","docker image[jittor/jittor] # 2. build,push,upload docker image[jittor/jittor-cuda] # upload to pip: # rm","--tag jittor/jittor-cuda:latest --build-arg FROM_IMAGE='nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04' . --network host\" ) docker_task( \"jittor/jittor-cuda-10-1\", \"sudo docker build","run_cmd(build_cmd) run_cmd(f\"sudo docker push {name}\") bname = os.path.basename(name) run_cmd(f\"sudo docker save {name}:latest -o","\"sudo docker build --tag jittor/jittor-cuda-10-1:latest --build-arg FROM_IMAGE='nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04' . --network host\" ) run_cmd(\"ssh jittor-web","Reserved. # Maintainers: # <NAME> <<EMAIL>>. # # This file is subject to","docker push {name}\") bname = os.path.basename(name) run_cmd(f\"sudo docker save {name}:latest -o /tmp/{bname}.tgz &&","Jittor. All Rights Reserved. # Maintainers: # <NAME> <<EMAIL>>. # # This file","&& python3.7 ./setup.py sdist && python3.7 -m twine upload dist/* import os def","run_cmd(f\"sudo docker push {name}\") bname = os.path.basename(name) run_cmd(f\"sudo docker save {name}:latest -o /tmp/{bname}.tgz","#!/usr/bin/python3 # *************************************************************** # Copyright (c) 2022 Jittor. All Rights Reserved. # Maintainers:","python3.7 ./setup.py sdist && python3.7 -m twine upload dist/* import os def run_cmd(cmd):","FROM_IMAGE='nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04' . --network host\" ) docker_task( \"jittor/jittor-cuda-10-1\", \"sudo docker build --tag jittor/jittor-cuda-10-1:latest --build-arg","upload dist/* import os def run_cmd(cmd): print(\"[run cmd]\", cmd) assert os.system(cmd) == 0","--network host\" ) docker_task( \"jittor/jittor-cuda-10-1\", \"sudo docker build --tag jittor/jittor-cuda-10-1:latest --build-arg FROM_IMAGE='nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04' .","file is subject to the terms and conditions defined in # file 'LICENSE.txt',","save {name}:latest -o /tmp/{bname}.tgz && sudo chmod 666 /tmp/{bname}.tgz\") upload_file(f\"/tmp/{bname}.tgz\") docker_task( \"jittor/jittor-cuda-11-1\", \"sudo","is subject to the terms and conditions defined in # file 'LICENSE.txt', which","package. # *************************************************************** # Publish steps: # 1. build,push,upload docker image[jittor/jittor] # 2.","All Rights Reserved. # Maintainers: # <NAME> <<EMAIL>>. # # This file is","-m twine upload dist/* import os def run_cmd(cmd): print(\"[run cmd]\", cmd) assert os.system(cmd)","--network host\" ) docker_task( \"jittor/jittor-cuda\", \"sudo docker build --tag jittor/jittor-cuda:latest --build-arg FROM_IMAGE='nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04' .","host\" ) docker_task( \"jittor/jittor-cuda\", \"sudo docker build --tag jittor/jittor-cuda:latest --build-arg FROM_IMAGE='nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04' . --network","jittor-web:Documents/jittor-blog/assets/build/\") def docker_task(name, build_cmd): run_cmd(build_cmd) run_cmd(f\"sudo docker push {name}\") bname = os.path.basename(name) run_cmd(f\"sudo","Copyright (c) 2022 Jittor. All Rights Reserved. # Maintainers: # <NAME> <<EMAIL>>. #","# *************************************************************** # Publish steps: # 1. build,push,upload docker image[jittor/jittor] # 2. build,push,upload","run_cmd(f\"sudo docker save {name}:latest -o /tmp/{bname}.tgz && sudo chmod 666 /tmp/{bname}.tgz\") upload_file(f\"/tmp/{bname}.tgz\") docker_task(",") docker_task( \"jittor/jittor-cuda-10-1\", \"sudo docker build --tag jittor/jittor-cuda-10-1:latest --build-arg FROM_IMAGE='nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04' . --network host\"","# Maintainers: # <NAME> <<EMAIL>>. # # This file is subject to the","code package. # *************************************************************** # Publish steps: # 1. build,push,upload docker image[jittor/jittor] #","sdist && python3.7 -m twine upload dist/* import os def run_cmd(cmd): print(\"[run cmd]\",","image[jittor/jittor-cuda] # upload to pip: # rm -rf dist && python3.7 ./setup.py sdist","cmd) assert os.system(cmd) == 0 def upload_file(path): run_cmd(f\"rsync -avPu {path} jittor-web:Documents/jittor-blog/assets/build/\") def docker_task(name,","conditions defined in # file 'LICENSE.txt', which is part of this source code","def docker_task(name, build_cmd): run_cmd(build_cmd) run_cmd(f\"sudo docker push {name}\") bname = os.path.basename(name) run_cmd(f\"sudo docker",". --network host\" ) docker_task( \"jittor/jittor-cuda-10-1\", \"sudo docker build --tag jittor/jittor-cuda-10-1:latest --build-arg FROM_IMAGE='nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04'","docker_task( \"jittor/jittor-cuda\", \"sudo docker build --tag jittor/jittor-cuda:latest --build-arg FROM_IMAGE='nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04' . --network host\" )","docker_task( \"jittor/jittor-cuda-10-1\", \"sudo docker build --tag jittor/jittor-cuda-10-1:latest --build-arg FROM_IMAGE='nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04' . --network host\" )","\"jittor/jittor-cuda\", \"sudo docker build --tag jittor/jittor-cuda:latest --build-arg FROM_IMAGE='nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04' . --network host\" ) docker_task(","# Publish steps: # 1. build,push,upload docker image[jittor/jittor] # 2. build,push,upload docker image[jittor/jittor-cuda]","docker image[jittor/jittor-cuda] # upload to pip: # rm -rf dist && python3.7 ./setup.py","script/Dockerfile_cuda11 . --network host\" ) docker_task( \"jittor/jittor\", \"sudo docker build --tag jittor/jittor:latest .","jittor/jittor-cuda-11-1:latest -f script/Dockerfile_cuda11 . --network host\" ) docker_task( \"jittor/jittor\", \"sudo docker build --tag","Rights Reserved. # Maintainers: # <NAME> <<EMAIL>>. # # This file is subject","== 0 def upload_file(path): run_cmd(f\"rsync -avPu {path} jittor-web:Documents/jittor-blog/assets/build/\") def docker_task(name, build_cmd): run_cmd(build_cmd) run_cmd(f\"sudo","docker_task(name, build_cmd): run_cmd(build_cmd) run_cmd(f\"sudo docker push {name}\") bname = os.path.basename(name) run_cmd(f\"sudo docker save","This file is subject to the terms and conditions defined in # file","upload_file(path): run_cmd(f\"rsync -avPu {path} jittor-web:Documents/jittor-blog/assets/build/\") def docker_task(name, build_cmd): run_cmd(build_cmd) run_cmd(f\"sudo docker push {name}\")","chmod 666 /tmp/{bname}.tgz\") upload_file(f\"/tmp/{bname}.tgz\") docker_task( \"jittor/jittor-cuda-11-1\", \"sudo docker build --tag jittor/jittor-cuda-11-1:latest -f script/Dockerfile_cuda11","build,push,upload docker image[jittor/jittor] # 2. build,push,upload docker image[jittor/jittor-cuda] # upload to pip: #","# # This file is subject to the terms and conditions defined in","upload_file(f\"/tmp/{bname}.tgz\") docker_task( \"jittor/jittor-cuda-11-1\", \"sudo docker build --tag jittor/jittor-cuda-11-1:latest -f script/Dockerfile_cuda11 . --network host\"","this source code package. # *************************************************************** # Publish steps: # 1. build,push,upload docker","0 def upload_file(path): run_cmd(f\"rsync -avPu {path} jittor-web:Documents/jittor-blog/assets/build/\") def docker_task(name, build_cmd): run_cmd(build_cmd) run_cmd(f\"sudo docker","\"jittor/jittor-cuda-10-1\", \"sudo docker build --tag jittor/jittor-cuda-10-1:latest --build-arg FROM_IMAGE='nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04' . --network host\" ) run_cmd(\"ssh","<<EMAIL>>. # # This file is subject to the terms and conditions defined","import os def run_cmd(cmd): print(\"[run cmd]\", cmd) assert os.system(cmd) == 0 def upload_file(path):","--build-arg FROM_IMAGE='nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04' . --network host\" ) docker_task( \"jittor/jittor-cuda-10-1\", \"sudo docker build --tag jittor/jittor-cuda-10-1:latest","# file 'LICENSE.txt', which is part of this source code package. # ***************************************************************","image[jittor/jittor] # 2. build,push,upload docker image[jittor/jittor-cuda] # upload to pip: # rm -rf","build,push,upload docker image[jittor/jittor-cuda] # upload to pip: # rm -rf dist && python3.7",". --network host\" ) docker_task( \"jittor/jittor-cuda\", \"sudo docker build --tag jittor/jittor-cuda:latest --build-arg FROM_IMAGE='nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04'","rm -rf dist && python3.7 ./setup.py sdist && python3.7 -m twine upload dist/*","-o /tmp/{bname}.tgz && sudo chmod 666 /tmp/{bname}.tgz\") upload_file(f\"/tmp/{bname}.tgz\") docker_task( \"jittor/jittor-cuda-11-1\", \"sudo docker build","<NAME> <<EMAIL>>. # # This file is subject to the terms and conditions","os.path.basename(name) run_cmd(f\"sudo docker save {name}:latest -o /tmp/{bname}.tgz && sudo chmod 666 /tmp/{bname}.tgz\") upload_file(f\"/tmp/{bname}.tgz\")","&& python3.7 -m twine upload dist/* import os def run_cmd(cmd): print(\"[run cmd]\", cmd)","/tmp/{bname}.tgz && sudo chmod 666 /tmp/{bname}.tgz\") upload_file(f\"/tmp/{bname}.tgz\") docker_task( \"jittor/jittor-cuda-11-1\", \"sudo docker build --tag","\"sudo docker build --tag jittor/jittor-cuda:latest --build-arg FROM_IMAGE='nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04' . --network host\" ) docker_task( \"jittor/jittor-cuda-10-1\",","# *************************************************************** # Copyright (c) 2022 Jittor. All Rights Reserved. # Maintainers: #","def run_cmd(cmd): print(\"[run cmd]\", cmd) assert os.system(cmd) == 0 def upload_file(path): run_cmd(f\"rsync -avPu",") docker_task( \"jittor/jittor-cuda\", \"sudo docker build --tag jittor/jittor-cuda:latest --build-arg FROM_IMAGE='nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04' . --network host\"","is part of this source code package. # *************************************************************** # Publish steps: #","docker_task( \"jittor/jittor-cuda-11-1\", \"sudo docker build --tag jittor/jittor-cuda-11-1:latest -f script/Dockerfile_cuda11 . --network host\" )","to pip: # rm -rf dist && python3.7 ./setup.py sdist && python3.7 -m","# 1. build,push,upload docker image[jittor/jittor] # 2. build,push,upload docker image[jittor/jittor-cuda] # upload to","666 /tmp/{bname}.tgz\") upload_file(f\"/tmp/{bname}.tgz\") docker_task( \"jittor/jittor-cuda-11-1\", \"sudo docker build --tag jittor/jittor-cuda-11-1:latest -f script/Dockerfile_cuda11 .","{name}:latest -o /tmp/{bname}.tgz && sudo chmod 666 /tmp/{bname}.tgz\") upload_file(f\"/tmp/{bname}.tgz\") docker_task( \"jittor/jittor-cuda-11-1\", \"sudo docker","{name}\") bname = os.path.basename(name) run_cmd(f\"sudo docker save {name}:latest -o /tmp/{bname}.tgz && sudo chmod","--network host\" ) docker_task( \"jittor/jittor\", \"sudo docker build --tag jittor/jittor:latest . --network host\"","steps: # 1. build,push,upload docker image[jittor/jittor] # 2. build,push,upload docker image[jittor/jittor-cuda] # upload","run_cmd(f\"rsync -avPu {path} jittor-web:Documents/jittor-blog/assets/build/\") def docker_task(name, build_cmd): run_cmd(build_cmd) run_cmd(f\"sudo docker push {name}\") bname",". --network host\" ) docker_task( \"jittor/jittor\", \"sudo docker build --tag jittor/jittor:latest . --network","host\" ) docker_task( \"jittor/jittor-cuda-10-1\", \"sudo docker build --tag jittor/jittor-cuda-10-1:latest --build-arg FROM_IMAGE='nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04' . --network","*************************************************************** # Publish steps: # 1. build,push,upload docker image[jittor/jittor] # 2. build,push,upload docker","dist/* import os def run_cmd(cmd): print(\"[run cmd]\", cmd) assert os.system(cmd) == 0 def","push {name}\") bname = os.path.basename(name) run_cmd(f\"sudo docker save {name}:latest -o /tmp/{bname}.tgz && sudo","dist && python3.7 ./setup.py sdist && python3.7 -m twine upload dist/* import os","bname = os.path.basename(name) run_cmd(f\"sudo docker save {name}:latest -o /tmp/{bname}.tgz && sudo chmod 666","build --tag jittor/jittor-cuda-11-1:latest -f script/Dockerfile_cuda11 . --network host\" ) docker_task( \"jittor/jittor\", \"sudo docker","Publish steps: # 1. build,push,upload docker image[jittor/jittor] # 2. build,push,upload docker image[jittor/jittor-cuda] #","# upload to pip: # rm -rf dist && python3.7 ./setup.py sdist &&","\"jittor/jittor-cuda-11-1\", \"sudo docker build --tag jittor/jittor-cuda-11-1:latest -f script/Dockerfile_cuda11 . --network host\" ) docker_task(","jittor/jittor-cuda:latest --build-arg FROM_IMAGE='nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04' . --network host\" ) docker_task( \"jittor/jittor-cuda-10-1\", \"sudo docker build --tag","build --tag jittor/jittor-cuda:latest --build-arg FROM_IMAGE='nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04' . --network host\" ) docker_task( \"jittor/jittor-cuda-10-1\", \"sudo docker","docker build --tag jittor/jittor-cuda:latest --build-arg FROM_IMAGE='nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04' . --network host\" ) docker_task( \"jittor/jittor-cuda-10-1\", \"sudo","docker save {name}:latest -o /tmp/{bname}.tgz && sudo chmod 666 /tmp/{bname}.tgz\") upload_file(f\"/tmp/{bname}.tgz\") docker_task( \"jittor/jittor-cuda-11-1\",","1. build,push,upload docker image[jittor/jittor] # 2. build,push,upload docker image[jittor/jittor-cuda] # upload to pip:","2022 Jittor. All Rights Reserved. # Maintainers: # <NAME> <<EMAIL>>. # # This","&& sudo chmod 666 /tmp/{bname}.tgz\") upload_file(f\"/tmp/{bname}.tgz\") docker_task( \"jittor/jittor-cuda-11-1\", \"sudo docker build --tag jittor/jittor-cuda-11-1:latest",") docker_task( \"jittor/jittor\", \"sudo docker build --tag jittor/jittor:latest . --network host\" ) docker_task(","{path} jittor-web:Documents/jittor-blog/assets/build/\") def docker_task(name, build_cmd): run_cmd(build_cmd) run_cmd(f\"sudo docker push {name}\") bname = os.path.basename(name)","python3.7 -m twine upload dist/* import os def run_cmd(cmd): print(\"[run cmd]\", cmd) assert","which is part of this source code package. # *************************************************************** # Publish steps:","# <NAME> <<EMAIL>>. # # This file is subject to the terms and","run_cmd(cmd): print(\"[run cmd]\", cmd) assert os.system(cmd) == 0 def upload_file(path): run_cmd(f\"rsync -avPu {path}","2. build,push,upload docker image[jittor/jittor-cuda] # upload to pip: # rm -rf dist &&","cmd]\", cmd) assert os.system(cmd) == 0 def upload_file(path): run_cmd(f\"rsync -avPu {path} jittor-web:Documents/jittor-blog/assets/build/\") def","docker build --tag jittor/jittor-cuda-10-1:latest --build-arg FROM_IMAGE='nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04' . --network host\" ) run_cmd(\"ssh jittor-web Documents/jittor-blog.git/hooks/post-update\")","# Copyright (c) 2022 Jittor. All Rights Reserved. # Maintainers: # <NAME> <<EMAIL>>.","'LICENSE.txt', which is part of this source code package. # *************************************************************** # Publish","os.system(cmd) == 0 def upload_file(path): run_cmd(f\"rsync -avPu {path} jittor-web:Documents/jittor-blog/assets/build/\") def docker_task(name, build_cmd): run_cmd(build_cmd)","of this source code package. # *************************************************************** # Publish steps: # 1. build,push,upload","-avPu {path} jittor-web:Documents/jittor-blog/assets/build/\") def docker_task(name, build_cmd): run_cmd(build_cmd) run_cmd(f\"sudo docker push {name}\") bname =","\"sudo docker build --tag jittor/jittor:latest . --network host\" ) docker_task( \"jittor/jittor-cuda\", \"sudo docker","def upload_file(path): run_cmd(f\"rsync -avPu {path} jittor-web:Documents/jittor-blog/assets/build/\") def docker_task(name, build_cmd): run_cmd(build_cmd) run_cmd(f\"sudo docker push","file 'LICENSE.txt', which is part of this source code package. # *************************************************************** #","-f script/Dockerfile_cuda11 . --network host\" ) docker_task( \"jittor/jittor\", \"sudo docker build --tag jittor/jittor:latest","docker build --tag jittor/jittor-cuda-11-1:latest -f script/Dockerfile_cuda11 . --network host\" ) docker_task( \"jittor/jittor\", \"sudo","= os.path.basename(name) run_cmd(f\"sudo docker save {name}:latest -o /tmp/{bname}.tgz && sudo chmod 666 /tmp/{bname}.tgz\")","terms and conditions defined in # file 'LICENSE.txt', which is part of this","build --tag jittor/jittor:latest . --network host\" ) docker_task( \"jittor/jittor-cuda\", \"sudo docker build --tag","print(\"[run cmd]\", cmd) assert os.system(cmd) == 0 def upload_file(path): run_cmd(f\"rsync -avPu {path} jittor-web:Documents/jittor-blog/assets/build/\")","upload to pip: # rm -rf dist && python3.7 ./setup.py sdist && python3.7","source code package. # *************************************************************** # Publish steps: # 1. build,push,upload docker image[jittor/jittor]","jittor/jittor:latest . --network host\" ) docker_task( \"jittor/jittor-cuda\", \"sudo docker build --tag jittor/jittor-cuda:latest --build-arg","sudo chmod 666 /tmp/{bname}.tgz\") upload_file(f\"/tmp/{bname}.tgz\") docker_task( \"jittor/jittor-cuda-11-1\", \"sudo docker build --tag jittor/jittor-cuda-11-1:latest -f","build_cmd): run_cmd(build_cmd) run_cmd(f\"sudo docker push {name}\") bname = os.path.basename(name) run_cmd(f\"sudo docker save {name}:latest","Maintainers: # <NAME> <<EMAIL>>. # # This file is subject to the terms","twine upload dist/* import os def run_cmd(cmd): print(\"[run cmd]\", cmd) assert os.system(cmd) ==","in # file 'LICENSE.txt', which is part of this source code package. #","os def run_cmd(cmd): print(\"[run cmd]\", cmd) assert os.system(cmd) == 0 def upload_file(path): run_cmd(f\"rsync","--tag jittor/jittor-cuda-11-1:latest -f script/Dockerfile_cuda11 . --network host\" ) docker_task( \"jittor/jittor\", \"sudo docker build","\"jittor/jittor\", \"sudo docker build --tag jittor/jittor:latest . --network host\" ) docker_task( \"jittor/jittor-cuda\", \"sudo","pip: # rm -rf dist && python3.7 ./setup.py sdist && python3.7 -m twine","docker_task( \"jittor/jittor\", \"sudo docker build --tag jittor/jittor:latest . --network host\" ) docker_task( \"jittor/jittor-cuda\",","and conditions defined in # file 'LICENSE.txt', which is part of this source","/tmp/{bname}.tgz\") upload_file(f\"/tmp/{bname}.tgz\") docker_task( \"jittor/jittor-cuda-11-1\", \"sudo docker build --tag jittor/jittor-cuda-11-1:latest -f script/Dockerfile_cuda11 . --network","part of this source code package. # *************************************************************** # Publish steps: # 1.","--tag jittor/jittor:latest . --network host\" ) docker_task( \"jittor/jittor-cuda\", \"sudo docker build --tag jittor/jittor-cuda:latest","*************************************************************** # Copyright (c) 2022 Jittor. All Rights Reserved. # Maintainers: # <NAME>","-rf dist && python3.7 ./setup.py sdist && python3.7 -m twine upload dist/* import","subject to the terms and conditions defined in # file 'LICENSE.txt', which is","\"sudo docker build --tag jittor/jittor-cuda-11-1:latest -f script/Dockerfile_cuda11 . --network host\" ) docker_task( \"jittor/jittor\",","./setup.py sdist && python3.7 -m twine upload dist/* import os def run_cmd(cmd): print(\"[run","defined in # file 'LICENSE.txt', which is part of this source code package.","the terms and conditions defined in # file 'LICENSE.txt', which is part of","# 2. build,push,upload docker image[jittor/jittor-cuda] # upload to pip: # rm -rf dist","# rm -rf dist && python3.7 ./setup.py sdist && python3.7 -m twine upload","assert os.system(cmd) == 0 def upload_file(path): run_cmd(f\"rsync -avPu {path} jittor-web:Documents/jittor-blog/assets/build/\") def docker_task(name, build_cmd):","to the terms and conditions defined in # file 'LICENSE.txt', which is part"],"string":"[\n \"host\\\" ) docker_task( \\\"jittor/jittor\\\", \\\"sudo docker build --tag jittor/jittor:latest . --network host\\\" )\",\n \"# This file is subject to the terms and conditions defined in #\",\n \"(c) 2022 Jittor. All Rights Reserved. # Maintainers: # <NAME> <<EMAIL>>. # #\",\n \"docker build --tag jittor/jittor:latest . --network host\\\" ) docker_task( \\\"jittor/jittor-cuda\\\", \\\"sudo docker build\",\n \"docker image[jittor/jittor] # 2. build,push,upload docker image[jittor/jittor-cuda] # upload to pip: # rm\",\n \"--tag jittor/jittor-cuda:latest --build-arg FROM_IMAGE='nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04' . --network host\\\" ) docker_task( \\\"jittor/jittor-cuda-10-1\\\", \\\"sudo docker build\",\n \"run_cmd(build_cmd) run_cmd(f\\\"sudo docker push {name}\\\") bname = os.path.basename(name) run_cmd(f\\\"sudo docker save {name}:latest -o\",\n \"\\\"sudo docker build --tag jittor/jittor-cuda-10-1:latest --build-arg FROM_IMAGE='nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04' . --network host\\\" ) run_cmd(\\\"ssh jittor-web\",\n \"Reserved. # Maintainers: # <NAME> <<EMAIL>>. # # This file is subject to\",\n \"docker push {name}\\\") bname = os.path.basename(name) run_cmd(f\\\"sudo docker save {name}:latest -o /tmp/{bname}.tgz &&\",\n \"Jittor. All Rights Reserved. # Maintainers: # <NAME> <<EMAIL>>. # # This file\",\n \"&& python3.7 ./setup.py sdist && python3.7 -m twine upload dist/* import os def\",\n \"run_cmd(f\\\"sudo docker push {name}\\\") bname = os.path.basename(name) run_cmd(f\\\"sudo docker save {name}:latest -o /tmp/{bname}.tgz\",\n \"#!/usr/bin/python3 # *************************************************************** # Copyright (c) 2022 Jittor. All Rights Reserved. # Maintainers:\",\n \"python3.7 ./setup.py sdist && python3.7 -m twine upload dist/* import os def run_cmd(cmd):\",\n \"FROM_IMAGE='nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04' . --network host\\\" ) docker_task( \\\"jittor/jittor-cuda-10-1\\\", \\\"sudo docker build --tag jittor/jittor-cuda-10-1:latest --build-arg\",\n \"upload dist/* import os def run_cmd(cmd): print(\\\"[run cmd]\\\", cmd) assert os.system(cmd) == 0\",\n \"--network host\\\" ) docker_task( \\\"jittor/jittor-cuda-10-1\\\", \\\"sudo docker build --tag jittor/jittor-cuda-10-1:latest --build-arg FROM_IMAGE='nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04' .\",\n \"file is subject to the terms and conditions defined in # file 'LICENSE.txt',\",\n \"save {name}:latest -o /tmp/{bname}.tgz && sudo chmod 666 /tmp/{bname}.tgz\\\") upload_file(f\\\"/tmp/{bname}.tgz\\\") docker_task( \\\"jittor/jittor-cuda-11-1\\\", \\\"sudo\",\n \"is subject to the terms and conditions defined in # file 'LICENSE.txt', which\",\n \"package. # *************************************************************** # Publish steps: # 1. build,push,upload docker image[jittor/jittor] # 2.\",\n \"All Rights Reserved. # Maintainers: # <NAME> <<EMAIL>>. # # This file is\",\n \"-m twine upload dist/* import os def run_cmd(cmd): print(\\\"[run cmd]\\\", cmd) assert os.system(cmd)\",\n \"--network host\\\" ) docker_task( \\\"jittor/jittor-cuda\\\", \\\"sudo docker build --tag jittor/jittor-cuda:latest --build-arg FROM_IMAGE='nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04' .\",\n \"host\\\" ) docker_task( \\\"jittor/jittor-cuda\\\", \\\"sudo docker build --tag jittor/jittor-cuda:latest --build-arg FROM_IMAGE='nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04' . --network\",\n \"jittor-web:Documents/jittor-blog/assets/build/\\\") def docker_task(name, build_cmd): run_cmd(build_cmd) run_cmd(f\\\"sudo docker push {name}\\\") bname = os.path.basename(name) run_cmd(f\\\"sudo\",\n \"Copyright (c) 2022 Jittor. All Rights Reserved. # Maintainers: # <NAME> <<EMAIL>>. #\",\n \"# *************************************************************** # Publish steps: # 1. build,push,upload docker image[jittor/jittor] # 2. build,push,upload\",\n \"run_cmd(f\\\"sudo docker save {name}:latest -o /tmp/{bname}.tgz && sudo chmod 666 /tmp/{bname}.tgz\\\") upload_file(f\\\"/tmp/{bname}.tgz\\\") docker_task(\",\n \") docker_task( \\\"jittor/jittor-cuda-10-1\\\", \\\"sudo docker build --tag jittor/jittor-cuda-10-1:latest --build-arg FROM_IMAGE='nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04' . --network host\\\"\",\n \"# Maintainers: # <NAME> <<EMAIL>>. # # This file is subject to the\",\n \"code package. # *************************************************************** # Publish steps: # 1. build,push,upload docker image[jittor/jittor] #\",\n \"sdist && python3.7 -m twine upload dist/* import os def run_cmd(cmd): print(\\\"[run cmd]\\\",\",\n \"image[jittor/jittor-cuda] # upload to pip: # rm -rf dist && python3.7 ./setup.py sdist\",\n \"cmd) assert os.system(cmd) == 0 def upload_file(path): run_cmd(f\\\"rsync -avPu {path} jittor-web:Documents/jittor-blog/assets/build/\\\") def docker_task(name,\",\n \"conditions defined in # file 'LICENSE.txt', which is part of this source code\",\n \"def docker_task(name, build_cmd): run_cmd(build_cmd) run_cmd(f\\\"sudo docker push {name}\\\") bname = os.path.basename(name) run_cmd(f\\\"sudo docker\",\n \". --network host\\\" ) docker_task( \\\"jittor/jittor-cuda-10-1\\\", \\\"sudo docker build --tag jittor/jittor-cuda-10-1:latest --build-arg FROM_IMAGE='nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04'\",\n \"docker_task( \\\"jittor/jittor-cuda\\\", \\\"sudo docker build --tag jittor/jittor-cuda:latest --build-arg FROM_IMAGE='nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04' . --network host\\\" )\",\n \"docker_task( \\\"jittor/jittor-cuda-10-1\\\", \\\"sudo docker build --tag jittor/jittor-cuda-10-1:latest --build-arg FROM_IMAGE='nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04' . --network host\\\" )\",\n \"\\\"jittor/jittor-cuda\\\", \\\"sudo docker build --tag jittor/jittor-cuda:latest --build-arg FROM_IMAGE='nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04' . --network host\\\" ) docker_task(\",\n \"# Publish steps: # 1. build,push,upload docker image[jittor/jittor] # 2. build,push,upload docker image[jittor/jittor-cuda]\",\n \"docker image[jittor/jittor-cuda] # upload to pip: # rm -rf dist && python3.7 ./setup.py\",\n \"script/Dockerfile_cuda11 . --network host\\\" ) docker_task( \\\"jittor/jittor\\\", \\\"sudo docker build --tag jittor/jittor:latest .\",\n \"jittor/jittor-cuda-11-1:latest -f script/Dockerfile_cuda11 . --network host\\\" ) docker_task( \\\"jittor/jittor\\\", \\\"sudo docker build --tag\",\n \"Rights Reserved. # Maintainers: # <NAME> <<EMAIL>>. # # This file is subject\",\n \"== 0 def upload_file(path): run_cmd(f\\\"rsync -avPu {path} jittor-web:Documents/jittor-blog/assets/build/\\\") def docker_task(name, build_cmd): run_cmd(build_cmd) run_cmd(f\\\"sudo\",\n \"docker_task(name, build_cmd): run_cmd(build_cmd) run_cmd(f\\\"sudo docker push {name}\\\") bname = os.path.basename(name) run_cmd(f\\\"sudo docker save\",\n \"This file is subject to the terms and conditions defined in # file\",\n \"upload_file(path): run_cmd(f\\\"rsync -avPu {path} jittor-web:Documents/jittor-blog/assets/build/\\\") def docker_task(name, build_cmd): run_cmd(build_cmd) run_cmd(f\\\"sudo docker push {name}\\\")\",\n \"chmod 666 /tmp/{bname}.tgz\\\") upload_file(f\\\"/tmp/{bname}.tgz\\\") docker_task( \\\"jittor/jittor-cuda-11-1\\\", \\\"sudo docker build --tag jittor/jittor-cuda-11-1:latest -f script/Dockerfile_cuda11\",\n \"build,push,upload docker image[jittor/jittor] # 2. build,push,upload docker image[jittor/jittor-cuda] # upload to pip: #\",\n \"# # This file is subject to the terms and conditions defined in\",\n \"upload_file(f\\\"/tmp/{bname}.tgz\\\") docker_task( \\\"jittor/jittor-cuda-11-1\\\", \\\"sudo docker build --tag jittor/jittor-cuda-11-1:latest -f script/Dockerfile_cuda11 . --network host\\\"\",\n \"this source code package. # *************************************************************** # Publish steps: # 1. build,push,upload docker\",\n \"0 def upload_file(path): run_cmd(f\\\"rsync -avPu {path} jittor-web:Documents/jittor-blog/assets/build/\\\") def docker_task(name, build_cmd): run_cmd(build_cmd) run_cmd(f\\\"sudo docker\",\n \"\\\"jittor/jittor-cuda-10-1\\\", \\\"sudo docker build --tag jittor/jittor-cuda-10-1:latest --build-arg FROM_IMAGE='nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04' . --network host\\\" ) run_cmd(\\\"ssh\",\n \"<<EMAIL>>. # # This file is subject to the terms and conditions defined\",\n \"import os def run_cmd(cmd): print(\\\"[run cmd]\\\", cmd) assert os.system(cmd) == 0 def upload_file(path):\",\n \"--build-arg FROM_IMAGE='nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04' . --network host\\\" ) docker_task( \\\"jittor/jittor-cuda-10-1\\\", \\\"sudo docker build --tag jittor/jittor-cuda-10-1:latest\",\n \"# file 'LICENSE.txt', which is part of this source code package. # ***************************************************************\",\n \"image[jittor/jittor] # 2. build,push,upload docker image[jittor/jittor-cuda] # upload to pip: # rm -rf\",\n \"build,push,upload docker image[jittor/jittor-cuda] # upload to pip: # rm -rf dist && python3.7\",\n \". --network host\\\" ) docker_task( \\\"jittor/jittor-cuda\\\", \\\"sudo docker build --tag jittor/jittor-cuda:latest --build-arg FROM_IMAGE='nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04'\",\n \"rm -rf dist && python3.7 ./setup.py sdist && python3.7 -m twine upload dist/*\",\n \"-o /tmp/{bname}.tgz && sudo chmod 666 /tmp/{bname}.tgz\\\") upload_file(f\\\"/tmp/{bname}.tgz\\\") docker_task( \\\"jittor/jittor-cuda-11-1\\\", \\\"sudo docker build\",\n \"<NAME> <<EMAIL>>. # # This file is subject to the terms and conditions\",\n \"os.path.basename(name) run_cmd(f\\\"sudo docker save {name}:latest -o /tmp/{bname}.tgz && sudo chmod 666 /tmp/{bname}.tgz\\\") upload_file(f\\\"/tmp/{bname}.tgz\\\")\",\n \"&& python3.7 -m twine upload dist/* import os def run_cmd(cmd): print(\\\"[run cmd]\\\", cmd)\",\n \"/tmp/{bname}.tgz && sudo chmod 666 /tmp/{bname}.tgz\\\") upload_file(f\\\"/tmp/{bname}.tgz\\\") docker_task( \\\"jittor/jittor-cuda-11-1\\\", \\\"sudo docker build --tag\",\n \"\\\"sudo docker build --tag jittor/jittor-cuda:latest --build-arg FROM_IMAGE='nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04' . --network host\\\" ) docker_task( \\\"jittor/jittor-cuda-10-1\\\",\",\n \"# *************************************************************** # Copyright (c) 2022 Jittor. All Rights Reserved. # Maintainers: #\",\n \"def run_cmd(cmd): print(\\\"[run cmd]\\\", cmd) assert os.system(cmd) == 0 def upload_file(path): run_cmd(f\\\"rsync -avPu\",\n \") docker_task( \\\"jittor/jittor-cuda\\\", \\\"sudo docker build --tag jittor/jittor-cuda:latest --build-arg FROM_IMAGE='nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04' . --network host\\\"\",\n \"is part of this source code package. # *************************************************************** # Publish steps: #\",\n \"docker_task( \\\"jittor/jittor-cuda-11-1\\\", \\\"sudo docker build --tag jittor/jittor-cuda-11-1:latest -f script/Dockerfile_cuda11 . --network host\\\" )\",\n \"to pip: # rm -rf dist && python3.7 ./setup.py sdist && python3.7 -m\",\n \"# 1. build,push,upload docker image[jittor/jittor] # 2. build,push,upload docker image[jittor/jittor-cuda] # upload to\",\n \"666 /tmp/{bname}.tgz\\\") upload_file(f\\\"/tmp/{bname}.tgz\\\") docker_task( \\\"jittor/jittor-cuda-11-1\\\", \\\"sudo docker build --tag jittor/jittor-cuda-11-1:latest -f script/Dockerfile_cuda11 .\",\n \"{name}:latest -o /tmp/{bname}.tgz && sudo chmod 666 /tmp/{bname}.tgz\\\") upload_file(f\\\"/tmp/{bname}.tgz\\\") docker_task( \\\"jittor/jittor-cuda-11-1\\\", \\\"sudo docker\",\n \"{name}\\\") bname = os.path.basename(name) run_cmd(f\\\"sudo docker save {name}:latest -o /tmp/{bname}.tgz && sudo chmod\",\n \"--network host\\\" ) docker_task( \\\"jittor/jittor\\\", \\\"sudo docker build --tag jittor/jittor:latest . --network host\\\"\",\n \"steps: # 1. build,push,upload docker image[jittor/jittor] # 2. build,push,upload docker image[jittor/jittor-cuda] # upload\",\n \"run_cmd(f\\\"rsync -avPu {path} jittor-web:Documents/jittor-blog/assets/build/\\\") def docker_task(name, build_cmd): run_cmd(build_cmd) run_cmd(f\\\"sudo docker push {name}\\\") bname\",\n \". --network host\\\" ) docker_task( \\\"jittor/jittor\\\", \\\"sudo docker build --tag jittor/jittor:latest . --network\",\n \"host\\\" ) docker_task( \\\"jittor/jittor-cuda-10-1\\\", \\\"sudo docker build --tag jittor/jittor-cuda-10-1:latest --build-arg FROM_IMAGE='nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04' . --network\",\n \"*************************************************************** # Publish steps: # 1. build,push,upload docker image[jittor/jittor] # 2. build,push,upload docker\",\n \"dist/* import os def run_cmd(cmd): print(\\\"[run cmd]\\\", cmd) assert os.system(cmd) == 0 def\",\n \"push {name}\\\") bname = os.path.basename(name) run_cmd(f\\\"sudo docker save {name}:latest -o /tmp/{bname}.tgz && sudo\",\n \"dist && python3.7 ./setup.py sdist && python3.7 -m twine upload dist/* import os\",\n \"bname = os.path.basename(name) run_cmd(f\\\"sudo docker save {name}:latest -o /tmp/{bname}.tgz && sudo chmod 666\",\n \"build --tag jittor/jittor-cuda-11-1:latest -f script/Dockerfile_cuda11 . --network host\\\" ) docker_task( \\\"jittor/jittor\\\", \\\"sudo docker\",\n \"Publish steps: # 1. build,push,upload docker image[jittor/jittor] # 2. build,push,upload docker image[jittor/jittor-cuda] #\",\n \"# upload to pip: # rm -rf dist && python3.7 ./setup.py sdist &&\",\n \"\\\"jittor/jittor-cuda-11-1\\\", \\\"sudo docker build --tag jittor/jittor-cuda-11-1:latest -f script/Dockerfile_cuda11 . --network host\\\" ) docker_task(\",\n \"jittor/jittor-cuda:latest --build-arg FROM_IMAGE='nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04' . --network host\\\" ) docker_task( \\\"jittor/jittor-cuda-10-1\\\", \\\"sudo docker build --tag\",\n \"build --tag jittor/jittor-cuda:latest --build-arg FROM_IMAGE='nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04' . --network host\\\" ) docker_task( \\\"jittor/jittor-cuda-10-1\\\", \\\"sudo docker\",\n \"docker build --tag jittor/jittor-cuda:latest --build-arg FROM_IMAGE='nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04' . --network host\\\" ) docker_task( \\\"jittor/jittor-cuda-10-1\\\", \\\"sudo\",\n \"docker save {name}:latest -o /tmp/{bname}.tgz && sudo chmod 666 /tmp/{bname}.tgz\\\") upload_file(f\\\"/tmp/{bname}.tgz\\\") docker_task( \\\"jittor/jittor-cuda-11-1\\\",\",\n \"1. build,push,upload docker image[jittor/jittor] # 2. build,push,upload docker image[jittor/jittor-cuda] # upload to pip:\",\n \"2022 Jittor. All Rights Reserved. # Maintainers: # <NAME> <<EMAIL>>. # # This\",\n \"&& sudo chmod 666 /tmp/{bname}.tgz\\\") upload_file(f\\\"/tmp/{bname}.tgz\\\") docker_task( \\\"jittor/jittor-cuda-11-1\\\", \\\"sudo docker build --tag jittor/jittor-cuda-11-1:latest\",\n \") docker_task( \\\"jittor/jittor\\\", \\\"sudo docker build --tag jittor/jittor:latest . --network host\\\" ) docker_task(\",\n \"{path} jittor-web:Documents/jittor-blog/assets/build/\\\") def docker_task(name, build_cmd): run_cmd(build_cmd) run_cmd(f\\\"sudo docker push {name}\\\") bname = os.path.basename(name)\",\n \"python3.7 -m twine upload dist/* import os def run_cmd(cmd): print(\\\"[run cmd]\\\", cmd) assert\",\n \"which is part of this source code package. # *************************************************************** # Publish steps:\",\n \"# <NAME> <<EMAIL>>. # # This file is subject to the terms and\",\n \"run_cmd(cmd): print(\\\"[run cmd]\\\", cmd) assert os.system(cmd) == 0 def upload_file(path): run_cmd(f\\\"rsync -avPu {path}\",\n \"2. build,push,upload docker image[jittor/jittor-cuda] # upload to pip: # rm -rf dist &&\",\n \"cmd]\\\", cmd) assert os.system(cmd) == 0 def upload_file(path): run_cmd(f\\\"rsync -avPu {path} jittor-web:Documents/jittor-blog/assets/build/\\\") def\",\n \"docker build --tag jittor/jittor-cuda-10-1:latest --build-arg FROM_IMAGE='nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04' . --network host\\\" ) run_cmd(\\\"ssh jittor-web Documents/jittor-blog.git/hooks/post-update\\\")\",\n \"# Copyright (c) 2022 Jittor. All Rights Reserved. # Maintainers: # <NAME> <<EMAIL>>.\",\n \"'LICENSE.txt', which is part of this source code package. # *************************************************************** # Publish\",\n \"os.system(cmd) == 0 def upload_file(path): run_cmd(f\\\"rsync -avPu {path} jittor-web:Documents/jittor-blog/assets/build/\\\") def docker_task(name, build_cmd): run_cmd(build_cmd)\",\n \"of this source code package. # *************************************************************** # Publish steps: # 1. build,push,upload\",\n \"-avPu {path} jittor-web:Documents/jittor-blog/assets/build/\\\") def docker_task(name, build_cmd): run_cmd(build_cmd) run_cmd(f\\\"sudo docker push {name}\\\") bname =\",\n \"\\\"sudo docker build --tag jittor/jittor:latest . --network host\\\" ) docker_task( \\\"jittor/jittor-cuda\\\", \\\"sudo docker\",\n \"def upload_file(path): run_cmd(f\\\"rsync -avPu {path} jittor-web:Documents/jittor-blog/assets/build/\\\") def docker_task(name, build_cmd): run_cmd(build_cmd) run_cmd(f\\\"sudo docker push\",\n \"file 'LICENSE.txt', which is part of this source code package. # *************************************************************** #\",\n \"-f script/Dockerfile_cuda11 . --network host\\\" ) docker_task( \\\"jittor/jittor\\\", \\\"sudo docker build --tag jittor/jittor:latest\",\n \"docker build --tag jittor/jittor-cuda-11-1:latest -f script/Dockerfile_cuda11 . --network host\\\" ) docker_task( \\\"jittor/jittor\\\", \\\"sudo\",\n \"= os.path.basename(name) run_cmd(f\\\"sudo docker save {name}:latest -o /tmp/{bname}.tgz && sudo chmod 666 /tmp/{bname}.tgz\\\")\",\n \"terms and conditions defined in # file 'LICENSE.txt', which is part of this\",\n \"build --tag jittor/jittor:latest . --network host\\\" ) docker_task( \\\"jittor/jittor-cuda\\\", \\\"sudo docker build --tag\",\n \"print(\\\"[run cmd]\\\", cmd) assert os.system(cmd) == 0 def upload_file(path): run_cmd(f\\\"rsync -avPu {path} jittor-web:Documents/jittor-blog/assets/build/\\\")\",\n \"upload to pip: # rm -rf dist && python3.7 ./setup.py sdist && python3.7\",\n \"source code package. # *************************************************************** # Publish steps: # 1. build,push,upload docker image[jittor/jittor]\",\n \"jittor/jittor:latest . --network host\\\" ) docker_task( \\\"jittor/jittor-cuda\\\", \\\"sudo docker build --tag jittor/jittor-cuda:latest --build-arg\",\n \"sudo chmod 666 /tmp/{bname}.tgz\\\") upload_file(f\\\"/tmp/{bname}.tgz\\\") docker_task( \\\"jittor/jittor-cuda-11-1\\\", \\\"sudo docker build --tag jittor/jittor-cuda-11-1:latest -f\",\n \"build_cmd): run_cmd(build_cmd) run_cmd(f\\\"sudo docker push {name}\\\") bname = os.path.basename(name) run_cmd(f\\\"sudo docker save {name}:latest\",\n \"Maintainers: # <NAME> <<EMAIL>>. # # This file is subject to the terms\",\n \"twine upload dist/* import os def run_cmd(cmd): print(\\\"[run cmd]\\\", cmd) assert os.system(cmd) ==\",\n \"in # file 'LICENSE.txt', which is part of this source code package. #\",\n \"os def run_cmd(cmd): print(\\\"[run cmd]\\\", cmd) assert os.system(cmd) == 0 def upload_file(path): run_cmd(f\\\"rsync\",\n \"--tag jittor/jittor-cuda-11-1:latest -f script/Dockerfile_cuda11 . --network host\\\" ) docker_task( \\\"jittor/jittor\\\", \\\"sudo docker build\",\n \"\\\"jittor/jittor\\\", \\\"sudo docker build --tag jittor/jittor:latest . --network host\\\" ) docker_task( \\\"jittor/jittor-cuda\\\", \\\"sudo\",\n \"pip: # rm -rf dist && python3.7 ./setup.py sdist && python3.7 -m twine\",\n \"docker_task( \\\"jittor/jittor\\\", \\\"sudo docker build --tag jittor/jittor:latest . --network host\\\" ) docker_task( \\\"jittor/jittor-cuda\\\",\",\n \"and conditions defined in # file 'LICENSE.txt', which is part of this source\",\n \"/tmp/{bname}.tgz\\\") upload_file(f\\\"/tmp/{bname}.tgz\\\") docker_task( \\\"jittor/jittor-cuda-11-1\\\", \\\"sudo docker build --tag jittor/jittor-cuda-11-1:latest -f script/Dockerfile_cuda11 . --network\",\n \"part of this source code package. # *************************************************************** # Publish steps: # 1.\",\n \"--tag jittor/jittor:latest . --network host\\\" ) docker_task( \\\"jittor/jittor-cuda\\\", \\\"sudo docker build --tag jittor/jittor-cuda:latest\",\n \"*************************************************************** # Copyright (c) 2022 Jittor. All Rights Reserved. # Maintainers: # <NAME>\",\n \"-rf dist && python3.7 ./setup.py sdist && python3.7 -m twine upload dist/* import\",\n \"subject to the terms and conditions defined in # file 'LICENSE.txt', which is\",\n \"\\\"sudo docker build --tag jittor/jittor-cuda-11-1:latest -f script/Dockerfile_cuda11 . --network host\\\" ) docker_task( \\\"jittor/jittor\\\",\",\n \"./setup.py sdist && python3.7 -m twine upload dist/* import os def run_cmd(cmd): print(\\\"[run\",\n \"defined in # file 'LICENSE.txt', which is part of this source code package.\",\n \"the terms and conditions defined in # file 'LICENSE.txt', which is part of\",\n \"# 2. build,push,upload docker image[jittor/jittor-cuda] # upload to pip: # rm -rf dist\",\n \"# rm -rf dist && python3.7 ./setup.py sdist && python3.7 -m twine upload\",\n \"assert os.system(cmd) == 0 def upload_file(path): run_cmd(f\\\"rsync -avPu {path} jittor-web:Documents/jittor-blog/assets/build/\\\") def docker_task(name, build_cmd):\",\n \"to the terms and conditions defined in # file 'LICENSE.txt', which is part\"\n]","isConversational":false}}},{"rowIdx":1277,"cells":{"ngram":{"kind":"list like","value":["my_parser.add_argument('--log-level') args = my_parser.parse_args() CliArgs.BankName = args.bank_name CliArgs.InputFilepath = args.input_filepath CliArgs.LogLevel = args.log_level","my_parser.add_argument('--input-filepath') my_parser.add_argument('--log-level') args = my_parser.parse_args() CliArgs.BankName = args.bank_name CliArgs.InputFilepath = args.input_filepath CliArgs.LogLevel =","init(): my_parser = argparse.ArgumentParser() my_parser.add_argument('--bank-name', required=True) my_parser.add_argument('--input-filepath') my_parser.add_argument('--log-level') args = my_parser.parse_args() CliArgs.BankName =","LogLevel = None BankName = None InputFilepath = None @staticmethod def init(): my_parser","Singleton class CliArgs(metaclass=Singleton): LogLevel = None BankName = None InputFilepath = None @staticmethod","import Singleton class CliArgs(metaclass=Singleton): LogLevel = None BankName = None InputFilepath = None","class CliArgs(metaclass=Singleton): LogLevel = None BankName = None InputFilepath = None @staticmethod def","= None @staticmethod def init(): my_parser = argparse.ArgumentParser() my_parser.add_argument('--bank-name', required=True) my_parser.add_argument('--input-filepath') my_parser.add_argument('--log-level') args","def init(): my_parser = argparse.ArgumentParser() my_parser.add_argument('--bank-name', required=True) my_parser.add_argument('--input-filepath') my_parser.add_argument('--log-level') args = my_parser.parse_args() CliArgs.BankName","None BankName = None InputFilepath = None @staticmethod def init(): my_parser = argparse.ArgumentParser()","my_parser = argparse.ArgumentParser() my_parser.add_argument('--bank-name', required=True) my_parser.add_argument('--input-filepath') my_parser.add_argument('--log-level') args = my_parser.parse_args() CliArgs.BankName = args.bank_name","import argparse from helper.metaclasses_definition import Singleton class CliArgs(metaclass=Singleton): LogLevel = None BankName =","required=True) my_parser.add_argument('--input-filepath') my_parser.add_argument('--log-level') args = my_parser.parse_args() CliArgs.BankName = args.bank_name CliArgs.InputFilepath = args.input_filepath CliArgs.LogLevel","InputFilepath = None @staticmethod def init(): my_parser = argparse.ArgumentParser() my_parser.add_argument('--bank-name', required=True) my_parser.add_argument('--input-filepath') my_parser.add_argument('--log-level')","= argparse.ArgumentParser() my_parser.add_argument('--bank-name', required=True) my_parser.add_argument('--input-filepath') my_parser.add_argument('--log-level') args = my_parser.parse_args() CliArgs.BankName = args.bank_name CliArgs.InputFilepath","argparse from helper.metaclasses_definition import Singleton class CliArgs(metaclass=Singleton): LogLevel = None BankName = None","BankName = None InputFilepath = None @staticmethod def init(): my_parser = argparse.ArgumentParser() my_parser.add_argument('--bank-name',","= None InputFilepath = None @staticmethod def init(): my_parser = argparse.ArgumentParser() my_parser.add_argument('--bank-name', required=True)","None InputFilepath = None @staticmethod def init(): my_parser = argparse.ArgumentParser() my_parser.add_argument('--bank-name', required=True) my_parser.add_argument('--input-filepath')","@staticmethod def init(): my_parser = argparse.ArgumentParser() my_parser.add_argument('--bank-name', required=True) my_parser.add_argument('--input-filepath') my_parser.add_argument('--log-level') args = my_parser.parse_args()","= None BankName = None InputFilepath = None @staticmethod def init(): my_parser =","my_parser.add_argument('--bank-name', required=True) my_parser.add_argument('--input-filepath') my_parser.add_argument('--log-level') args = my_parser.parse_args() CliArgs.BankName = args.bank_name CliArgs.InputFilepath = args.input_filepath","CliArgs(metaclass=Singleton): LogLevel = None BankName = None InputFilepath = None @staticmethod def init():","from helper.metaclasses_definition import Singleton class CliArgs(metaclass=Singleton): LogLevel = None BankName = None InputFilepath","helper.metaclasses_definition import Singleton class CliArgs(metaclass=Singleton): LogLevel = None BankName = None InputFilepath =","argparse.ArgumentParser() my_parser.add_argument('--bank-name', required=True) my_parser.add_argument('--input-filepath') my_parser.add_argument('--log-level') args = my_parser.parse_args() CliArgs.BankName = args.bank_name CliArgs.InputFilepath =","None @staticmethod def init(): my_parser = argparse.ArgumentParser() my_parser.add_argument('--bank-name', required=True) my_parser.add_argument('--input-filepath') my_parser.add_argument('--log-level') args =","<gh_stars>0 import argparse from helper.metaclasses_definition import Singleton class CliArgs(metaclass=Singleton): LogLevel = None BankName"],"string":"[\n \"my_parser.add_argument('--log-level') args = my_parser.parse_args() CliArgs.BankName = args.bank_name CliArgs.InputFilepath = args.input_filepath CliArgs.LogLevel = args.log_level\",\n \"my_parser.add_argument('--input-filepath') my_parser.add_argument('--log-level') args = my_parser.parse_args() CliArgs.BankName = args.bank_name CliArgs.InputFilepath = args.input_filepath CliArgs.LogLevel =\",\n \"init(): my_parser = argparse.ArgumentParser() my_parser.add_argument('--bank-name', required=True) my_parser.add_argument('--input-filepath') my_parser.add_argument('--log-level') args = my_parser.parse_args() CliArgs.BankName =\",\n \"LogLevel = None BankName = None InputFilepath = None @staticmethod def init(): my_parser\",\n \"Singleton class CliArgs(metaclass=Singleton): LogLevel = None BankName = None InputFilepath = None @staticmethod\",\n \"import Singleton class CliArgs(metaclass=Singleton): LogLevel = None BankName = None InputFilepath = None\",\n \"class CliArgs(metaclass=Singleton): LogLevel = None BankName = None InputFilepath = None @staticmethod def\",\n \"= None @staticmethod def init(): my_parser = argparse.ArgumentParser() my_parser.add_argument('--bank-name', required=True) my_parser.add_argument('--input-filepath') my_parser.add_argument('--log-level') args\",\n \"def init(): my_parser = argparse.ArgumentParser() my_parser.add_argument('--bank-name', required=True) my_parser.add_argument('--input-filepath') my_parser.add_argument('--log-level') args = my_parser.parse_args() CliArgs.BankName\",\n \"None BankName = None InputFilepath = None @staticmethod def init(): my_parser = argparse.ArgumentParser()\",\n \"my_parser = argparse.ArgumentParser() my_parser.add_argument('--bank-name', required=True) my_parser.add_argument('--input-filepath') my_parser.add_argument('--log-level') args = my_parser.parse_args() CliArgs.BankName = args.bank_name\",\n \"import argparse from helper.metaclasses_definition import Singleton class CliArgs(metaclass=Singleton): LogLevel = None BankName =\",\n \"required=True) my_parser.add_argument('--input-filepath') my_parser.add_argument('--log-level') args = my_parser.parse_args() CliArgs.BankName = args.bank_name CliArgs.InputFilepath = args.input_filepath CliArgs.LogLevel\",\n \"InputFilepath = None @staticmethod def init(): my_parser = argparse.ArgumentParser() my_parser.add_argument('--bank-name', required=True) my_parser.add_argument('--input-filepath') my_parser.add_argument('--log-level')\",\n \"= argparse.ArgumentParser() my_parser.add_argument('--bank-name', required=True) my_parser.add_argument('--input-filepath') my_parser.add_argument('--log-level') args = my_parser.parse_args() CliArgs.BankName = args.bank_name CliArgs.InputFilepath\",\n \"argparse from helper.metaclasses_definition import Singleton class CliArgs(metaclass=Singleton): LogLevel = None BankName = None\",\n \"BankName = None InputFilepath = None @staticmethod def init(): my_parser = argparse.ArgumentParser() my_parser.add_argument('--bank-name',\",\n \"= None InputFilepath = None @staticmethod def init(): my_parser = argparse.ArgumentParser() my_parser.add_argument('--bank-name', required=True)\",\n \"None InputFilepath = None @staticmethod def init(): my_parser = argparse.ArgumentParser() my_parser.add_argument('--bank-name', required=True) my_parser.add_argument('--input-filepath')\",\n \"@staticmethod def init(): my_parser = argparse.ArgumentParser() my_parser.add_argument('--bank-name', required=True) my_parser.add_argument('--input-filepath') my_parser.add_argument('--log-level') args = my_parser.parse_args()\",\n \"= None BankName = None InputFilepath = None @staticmethod def init(): my_parser =\",\n \"my_parser.add_argument('--bank-name', required=True) my_parser.add_argument('--input-filepath') my_parser.add_argument('--log-level') args = my_parser.parse_args() CliArgs.BankName = args.bank_name CliArgs.InputFilepath = args.input_filepath\",\n \"CliArgs(metaclass=Singleton): LogLevel = None BankName = None InputFilepath = None @staticmethod def init():\",\n \"from helper.metaclasses_definition import Singleton class CliArgs(metaclass=Singleton): LogLevel = None BankName = None InputFilepath\",\n \"helper.metaclasses_definition import Singleton class CliArgs(metaclass=Singleton): LogLevel = None BankName = None InputFilepath =\",\n \"argparse.ArgumentParser() my_parser.add_argument('--bank-name', required=True) my_parser.add_argument('--input-filepath') my_parser.add_argument('--log-level') args = my_parser.parse_args() CliArgs.BankName = args.bank_name CliArgs.InputFilepath =\",\n \"None @staticmethod def init(): my_parser = argparse.ArgumentParser() my_parser.add_argument('--bank-name', required=True) my_parser.add_argument('--input-filepath') my_parser.add_argument('--log-level') args =\",\n \"<gh_stars>0 import argparse from helper.metaclasses_definition import Singleton class CliArgs(metaclass=Singleton): LogLevel = None BankName\"\n]","isConversational":false}}},{"rowIdx":1278,"cells":{"ngram":{"kind":"list like","value":[":: OSI Approved :: Apache Software License\", \"Programming Language :: Python :: 3.7\",","3.8\", \"Topic :: Scientific/Engineering\", \"Topic :: Scientific/Engineering :: Artificial Intelligence\", \"Topic :: Software","plugin_requires = [ \"flytekit>=0.16.0b0,<1.0.0\", \"flytekitplugins-spark>=0.16.0b0,<1.0.0,!=0.24.0b0\", \"papermill>=1.2.0\", \"nbconvert>=6.0.7\", \"ipykernel>=5.0.0\", ] __version__ = \"0.0.0+develop\" setup(","setuptools import setup PLUGIN_NAME = \"papermill\" microlib_name = f\"flytekitplugins-{PLUGIN_NAME}\" plugin_requires = [ \"flytekit>=0.16.0b0,<1.0.0\",","namespace_packages=[\"flytekitplugins\"], packages=[f\"flytekitplugins.{PLUGIN_NAME}\"], install_requires=plugin_requires, license=\"apache2\", python_requires=\">=3.7\", classifiers=[ \"Intended Audience :: Science/Research\", \"Intended Audience ::","\"ipykernel>=5.0.0\", ] __version__ = \"0.0.0+develop\" setup( name=microlib_name, version=__version__, author=\"flyteorg\", author_email=\"<EMAIL>\", description=\"This is the","\"papermill\" microlib_name = f\"flytekitplugins-{PLUGIN_NAME}\" plugin_requires = [ \"flytekit>=0.16.0b0,<1.0.0\", \"flytekitplugins-spark>=0.16.0b0,<1.0.0,!=0.24.0b0\", \"papermill>=1.2.0\", \"nbconvert>=6.0.7\", \"ipykernel>=5.0.0\", ]","name=microlib_name, version=__version__, author=\"flyteorg\", author_email=\"<EMAIL>\", description=\"This is the flytekit papermill plugin\", namespace_packages=[\"flytekitplugins\"], packages=[f\"flytekitplugins.{PLUGIN_NAME}\"], install_requires=plugin_requires,","classifiers=[ \"Intended Audience :: Science/Research\", \"Intended Audience :: Developers\", \"License :: OSI Approved","Developers\", \"License :: OSI Approved :: Apache Software License\", \"Programming Language :: Python","Intelligence\", \"Topic :: Software Development\", \"Topic :: Software Development :: Libraries\", \"Topic ::","\"0.0.0+develop\" setup( name=microlib_name, version=__version__, author=\"flyteorg\", author_email=\"<EMAIL>\", description=\"This is the flytekit papermill plugin\", namespace_packages=[\"flytekitplugins\"],","Language :: Python :: 3.8\", \"Topic :: Scientific/Engineering\", \"Topic :: Scientific/Engineering :: Artificial","= \"0.0.0+develop\" setup( name=microlib_name, version=__version__, author=\"flyteorg\", author_email=\"<EMAIL>\", description=\"This is the flytekit papermill plugin\",","\"Intended Audience :: Developers\", \"License :: OSI Approved :: Apache Software License\", \"Programming","= [ \"flytekit>=0.16.0b0,<1.0.0\", \"flytekitplugins-spark>=0.16.0b0,<1.0.0,!=0.24.0b0\", \"papermill>=1.2.0\", \"nbconvert>=6.0.7\", \"ipykernel>=5.0.0\", ] __version__ = \"0.0.0+develop\" setup( name=microlib_name,","setup PLUGIN_NAME = \"papermill\" microlib_name = f\"flytekitplugins-{PLUGIN_NAME}\" plugin_requires = [ \"flytekit>=0.16.0b0,<1.0.0\", \"flytekitplugins-spark>=0.16.0b0,<1.0.0,!=0.24.0b0\", \"papermill>=1.2.0\",","\"Programming Language :: Python :: 3.7\", \"Programming Language :: Python :: 3.8\", \"Topic",":: Science/Research\", \"Intended Audience :: Developers\", \"License :: OSI Approved :: Apache Software","Audience :: Science/Research\", \"Intended Audience :: Developers\", \"License :: OSI Approved :: Apache","python_requires=\">=3.7\", classifiers=[ \"Intended Audience :: Science/Research\", \"Intended Audience :: Developers\", \"License :: OSI","Apache Software License\", \"Programming Language :: Python :: 3.7\", \"Programming Language :: Python","__version__ = \"0.0.0+develop\" setup( name=microlib_name, version=__version__, author=\"flyteorg\", author_email=\"<EMAIL>\", description=\"This is the flytekit papermill","Software Development\", \"Topic :: Software Development :: Libraries\", \"Topic :: Software Development ::","plugin\", namespace_packages=[\"flytekitplugins\"], packages=[f\"flytekitplugins.{PLUGIN_NAME}\"], install_requires=plugin_requires, license=\"apache2\", python_requires=\">=3.7\", classifiers=[ \"Intended Audience :: Science/Research\", \"Intended Audience","= f\"flytekitplugins-{PLUGIN_NAME}\" plugin_requires = [ \"flytekit>=0.16.0b0,<1.0.0\", \"flytekitplugins-spark>=0.16.0b0,<1.0.0,!=0.24.0b0\", \"papermill>=1.2.0\", \"nbconvert>=6.0.7\", \"ipykernel>=5.0.0\", ] __version__ =","Software Development :: Libraries\", \"Topic :: Software Development :: Libraries :: Python Modules\",","papermill plugin\", namespace_packages=[\"flytekitplugins\"], packages=[f\"flytekitplugins.{PLUGIN_NAME}\"], install_requires=plugin_requires, license=\"apache2\", python_requires=\">=3.7\", classifiers=[ \"Intended Audience :: Science/Research\", \"Intended","author=\"flyteorg\", author_email=\"<EMAIL>\", description=\"This is the flytekit papermill plugin\", namespace_packages=[\"flytekitplugins\"], packages=[f\"flytekitplugins.{PLUGIN_NAME}\"], install_requires=plugin_requires, license=\"apache2\", python_requires=\">=3.7\",","version=__version__, author=\"flyteorg\", author_email=\"<EMAIL>\", description=\"This is the flytekit papermill plugin\", namespace_packages=[\"flytekitplugins\"], packages=[f\"flytekitplugins.{PLUGIN_NAME}\"], install_requires=plugin_requires, license=\"apache2\",","\"Intended Audience :: Science/Research\", \"Intended Audience :: Developers\", \"License :: OSI Approved ::",":: Software Development\", \"Topic :: Software Development :: Libraries\", \"Topic :: Software Development","\"nbconvert>=6.0.7\", \"ipykernel>=5.0.0\", ] __version__ = \"0.0.0+develop\" setup( name=microlib_name, version=__version__, author=\"flyteorg\", author_email=\"<EMAIL>\", description=\"This is","OSI Approved :: Apache Software License\", \"Programming Language :: Python :: 3.7\", \"Programming","[ \"flytekit>=0.16.0b0,<1.0.0\", \"flytekitplugins-spark>=0.16.0b0,<1.0.0,!=0.24.0b0\", \"papermill>=1.2.0\", \"nbconvert>=6.0.7\", \"ipykernel>=5.0.0\", ] __version__ = \"0.0.0+develop\" setup( name=microlib_name, version=__version__,","Development :: Libraries\", \"Topic :: Software Development :: Libraries :: Python Modules\", ],","license=\"apache2\", python_requires=\">=3.7\", classifiers=[ \"Intended Audience :: Science/Research\", \"Intended Audience :: Developers\", \"License ::","\"Topic :: Software Development\", \"Topic :: Software Development :: Libraries\", \"Topic :: Software","] __version__ = \"0.0.0+develop\" setup( name=microlib_name, version=__version__, author=\"flyteorg\", author_email=\"<EMAIL>\", description=\"This is the flytekit","License\", \"Programming Language :: Python :: 3.7\", \"Programming Language :: Python :: 3.8\",",":: 3.8\", \"Topic :: Scientific/Engineering\", \"Topic :: Scientific/Engineering :: Artificial Intelligence\", \"Topic ::",":: Developers\", \"License :: OSI Approved :: Apache Software License\", \"Programming Language ::","\"Topic :: Software Development :: Libraries\", \"Topic :: Software Development :: Libraries ::","3.7\", \"Programming Language :: Python :: 3.8\", \"Topic :: Scientific/Engineering\", \"Topic :: Scientific/Engineering","microlib_name = f\"flytekitplugins-{PLUGIN_NAME}\" plugin_requires = [ \"flytekit>=0.16.0b0,<1.0.0\", \"flytekitplugins-spark>=0.16.0b0,<1.0.0,!=0.24.0b0\", \"papermill>=1.2.0\", \"nbconvert>=6.0.7\", \"ipykernel>=5.0.0\", ] __version__","Development\", \"Topic :: Software Development :: Libraries\", \"Topic :: Software Development :: Libraries","is the flytekit papermill plugin\", namespace_packages=[\"flytekitplugins\"], packages=[f\"flytekitplugins.{PLUGIN_NAME}\"], install_requires=plugin_requires, license=\"apache2\", python_requires=\">=3.7\", classifiers=[ \"Intended Audience","description=\"This is the flytekit papermill plugin\", namespace_packages=[\"flytekitplugins\"], packages=[f\"flytekitplugins.{PLUGIN_NAME}\"], install_requires=plugin_requires, license=\"apache2\", python_requires=\">=3.7\", classifiers=[ \"Intended","\"flytekit>=0.16.0b0,<1.0.0\", \"flytekitplugins-spark>=0.16.0b0,<1.0.0,!=0.24.0b0\", \"papermill>=1.2.0\", \"nbconvert>=6.0.7\", \"ipykernel>=5.0.0\", ] __version__ = \"0.0.0+develop\" setup( name=microlib_name, version=__version__, author=\"flyteorg\",","from setuptools import setup PLUGIN_NAME = \"papermill\" microlib_name = f\"flytekitplugins-{PLUGIN_NAME}\" plugin_requires = [","Language :: Python :: 3.7\", \"Programming Language :: Python :: 3.8\", \"Topic ::","PLUGIN_NAME = \"papermill\" microlib_name = f\"flytekitplugins-{PLUGIN_NAME}\" plugin_requires = [ \"flytekit>=0.16.0b0,<1.0.0\", \"flytekitplugins-spark>=0.16.0b0,<1.0.0,!=0.24.0b0\", \"papermill>=1.2.0\", \"nbconvert>=6.0.7\",",":: Apache Software License\", \"Programming Language :: Python :: 3.7\", \"Programming Language ::","Artificial Intelligence\", \"Topic :: Software Development\", \"Topic :: Software Development :: Libraries\", \"Topic","Science/Research\", \"Intended Audience :: Developers\", \"License :: OSI Approved :: Apache Software License\",","Scientific/Engineering\", \"Topic :: Scientific/Engineering :: Artificial Intelligence\", \"Topic :: Software Development\", \"Topic ::","author_email=\"<EMAIL>\", description=\"This is the flytekit papermill plugin\", namespace_packages=[\"flytekitplugins\"], packages=[f\"flytekitplugins.{PLUGIN_NAME}\"], install_requires=plugin_requires, license=\"apache2\", python_requires=\">=3.7\", classifiers=[",":: Artificial Intelligence\", \"Topic :: Software Development\", \"Topic :: Software Development :: Libraries\",","install_requires=plugin_requires, license=\"apache2\", python_requires=\">=3.7\", classifiers=[ \"Intended Audience :: Science/Research\", \"Intended Audience :: Developers\", \"License","Scientific/Engineering :: Artificial Intelligence\", \"Topic :: Software Development\", \"Topic :: Software Development ::","Python :: 3.8\", \"Topic :: Scientific/Engineering\", \"Topic :: Scientific/Engineering :: Artificial Intelligence\", \"Topic",":: Libraries\", \"Topic :: Software Development :: Libraries :: Python Modules\", ], )","Python :: 3.7\", \"Programming Language :: Python :: 3.8\", \"Topic :: Scientific/Engineering\", \"Topic","flytekit papermill plugin\", namespace_packages=[\"flytekitplugins\"], packages=[f\"flytekitplugins.{PLUGIN_NAME}\"], install_requires=plugin_requires, license=\"apache2\", python_requires=\">=3.7\", classifiers=[ \"Intended Audience :: Science/Research\",","Software License\", \"Programming Language :: Python :: 3.7\", \"Programming Language :: Python ::",":: Scientific/Engineering\", \"Topic :: Scientific/Engineering :: Artificial Intelligence\", \"Topic :: Software Development\", \"Topic",":: Python :: 3.7\", \"Programming Language :: Python :: 3.8\", \"Topic :: Scientific/Engineering\",","the flytekit papermill plugin\", namespace_packages=[\"flytekitplugins\"], packages=[f\"flytekitplugins.{PLUGIN_NAME}\"], install_requires=plugin_requires, license=\"apache2\", python_requires=\">=3.7\", classifiers=[ \"Intended Audience ::",":: Scientific/Engineering :: Artificial Intelligence\", \"Topic :: Software Development\", \"Topic :: Software Development","\"Programming Language :: Python :: 3.8\", \"Topic :: Scientific/Engineering\", \"Topic :: Scientific/Engineering ::","setup( name=microlib_name, version=__version__, author=\"flyteorg\", author_email=\"<EMAIL>\", description=\"This is the flytekit papermill plugin\", namespace_packages=[\"flytekitplugins\"], packages=[f\"flytekitplugins.{PLUGIN_NAME}\"],",":: 3.7\", \"Programming Language :: Python :: 3.8\", \"Topic :: Scientific/Engineering\", \"Topic ::",":: Python :: 3.8\", \"Topic :: Scientific/Engineering\", \"Topic :: Scientific/Engineering :: Artificial Intelligence\",","\"License :: OSI Approved :: Apache Software License\", \"Programming Language :: Python ::","packages=[f\"flytekitplugins.{PLUGIN_NAME}\"], install_requires=plugin_requires, license=\"apache2\", python_requires=\">=3.7\", classifiers=[ \"Intended Audience :: Science/Research\", \"Intended Audience :: Developers\",","import setup PLUGIN_NAME = \"papermill\" microlib_name = f\"flytekitplugins-{PLUGIN_NAME}\" plugin_requires = [ \"flytekit>=0.16.0b0,<1.0.0\", \"flytekitplugins-spark>=0.16.0b0,<1.0.0,!=0.24.0b0\",","\"flytekitplugins-spark>=0.16.0b0,<1.0.0,!=0.24.0b0\", \"papermill>=1.2.0\", \"nbconvert>=6.0.7\", \"ipykernel>=5.0.0\", ] __version__ = \"0.0.0+develop\" setup( name=microlib_name, version=__version__, author=\"flyteorg\", author_email=\"<EMAIL>\",","Audience :: Developers\", \"License :: OSI Approved :: Apache Software License\", \"Programming Language","Approved :: Apache Software License\", \"Programming Language :: Python :: 3.7\", \"Programming Language","\"papermill>=1.2.0\", \"nbconvert>=6.0.7\", \"ipykernel>=5.0.0\", ] __version__ = \"0.0.0+develop\" setup( name=microlib_name, version=__version__, author=\"flyteorg\", author_email=\"<EMAIL>\", description=\"This","\"Topic :: Scientific/Engineering\", \"Topic :: Scientific/Engineering :: Artificial Intelligence\", \"Topic :: Software Development\",","f\"flytekitplugins-{PLUGIN_NAME}\" plugin_requires = [ \"flytekit>=0.16.0b0,<1.0.0\", \"flytekitplugins-spark>=0.16.0b0,<1.0.0,!=0.24.0b0\", \"papermill>=1.2.0\", \"nbconvert>=6.0.7\", \"ipykernel>=5.0.0\", ] __version__ = \"0.0.0+develop\"","= \"papermill\" microlib_name = f\"flytekitplugins-{PLUGIN_NAME}\" plugin_requires = [ \"flytekit>=0.16.0b0,<1.0.0\", \"flytekitplugins-spark>=0.16.0b0,<1.0.0,!=0.24.0b0\", \"papermill>=1.2.0\", \"nbconvert>=6.0.7\", \"ipykernel>=5.0.0\",",":: Software Development :: Libraries\", \"Topic :: Software Development :: Libraries :: Python","\"Topic :: Scientific/Engineering :: Artificial Intelligence\", \"Topic :: Software Development\", \"Topic :: Software"],"string":"[\n \":: OSI Approved :: Apache Software License\\\", \\\"Programming Language :: Python :: 3.7\\\",\",\n \"3.8\\\", \\\"Topic :: Scientific/Engineering\\\", \\\"Topic :: Scientific/Engineering :: Artificial Intelligence\\\", \\\"Topic :: Software\",\n \"plugin_requires = [ \\\"flytekit>=0.16.0b0,<1.0.0\\\", \\\"flytekitplugins-spark>=0.16.0b0,<1.0.0,!=0.24.0b0\\\", \\\"papermill>=1.2.0\\\", \\\"nbconvert>=6.0.7\\\", \\\"ipykernel>=5.0.0\\\", ] __version__ = \\\"0.0.0+develop\\\" setup(\",\n \"setuptools import setup PLUGIN_NAME = \\\"papermill\\\" microlib_name = f\\\"flytekitplugins-{PLUGIN_NAME}\\\" plugin_requires = [ \\\"flytekit>=0.16.0b0,<1.0.0\\\",\",\n \"namespace_packages=[\\\"flytekitplugins\\\"], packages=[f\\\"flytekitplugins.{PLUGIN_NAME}\\\"], install_requires=plugin_requires, license=\\\"apache2\\\", python_requires=\\\">=3.7\\\", classifiers=[ \\\"Intended Audience :: Science/Research\\\", \\\"Intended Audience ::\",\n \"\\\"ipykernel>=5.0.0\\\", ] __version__ = \\\"0.0.0+develop\\\" setup( name=microlib_name, version=__version__, author=\\\"flyteorg\\\", author_email=\\\"<EMAIL>\\\", description=\\\"This is the\",\n \"\\\"papermill\\\" microlib_name = f\\\"flytekitplugins-{PLUGIN_NAME}\\\" plugin_requires = [ \\\"flytekit>=0.16.0b0,<1.0.0\\\", \\\"flytekitplugins-spark>=0.16.0b0,<1.0.0,!=0.24.0b0\\\", \\\"papermill>=1.2.0\\\", \\\"nbconvert>=6.0.7\\\", \\\"ipykernel>=5.0.0\\\", ]\",\n \"name=microlib_name, version=__version__, author=\\\"flyteorg\\\", author_email=\\\"<EMAIL>\\\", description=\\\"This is the flytekit papermill plugin\\\", namespace_packages=[\\\"flytekitplugins\\\"], packages=[f\\\"flytekitplugins.{PLUGIN_NAME}\\\"], install_requires=plugin_requires,\",\n \"classifiers=[ \\\"Intended Audience :: Science/Research\\\", \\\"Intended Audience :: Developers\\\", \\\"License :: OSI Approved\",\n \"Developers\\\", \\\"License :: OSI Approved :: Apache Software License\\\", \\\"Programming Language :: Python\",\n \"Intelligence\\\", \\\"Topic :: Software Development\\\", \\\"Topic :: Software Development :: Libraries\\\", \\\"Topic ::\",\n \"\\\"0.0.0+develop\\\" setup( name=microlib_name, version=__version__, author=\\\"flyteorg\\\", author_email=\\\"<EMAIL>\\\", description=\\\"This is the flytekit papermill plugin\\\", namespace_packages=[\\\"flytekitplugins\\\"],\",\n \"Language :: Python :: 3.8\\\", \\\"Topic :: Scientific/Engineering\\\", \\\"Topic :: Scientific/Engineering :: Artificial\",\n \"= \\\"0.0.0+develop\\\" setup( name=microlib_name, version=__version__, author=\\\"flyteorg\\\", author_email=\\\"<EMAIL>\\\", description=\\\"This is the flytekit papermill plugin\\\",\",\n \"\\\"Intended Audience :: Developers\\\", \\\"License :: OSI Approved :: Apache Software License\\\", \\\"Programming\",\n \"= [ \\\"flytekit>=0.16.0b0,<1.0.0\\\", \\\"flytekitplugins-spark>=0.16.0b0,<1.0.0,!=0.24.0b0\\\", \\\"papermill>=1.2.0\\\", \\\"nbconvert>=6.0.7\\\", \\\"ipykernel>=5.0.0\\\", ] __version__ = \\\"0.0.0+develop\\\" setup( name=microlib_name,\",\n \"setup PLUGIN_NAME = \\\"papermill\\\" microlib_name = f\\\"flytekitplugins-{PLUGIN_NAME}\\\" plugin_requires = [ \\\"flytekit>=0.16.0b0,<1.0.0\\\", \\\"flytekitplugins-spark>=0.16.0b0,<1.0.0,!=0.24.0b0\\\", \\\"papermill>=1.2.0\\\",\",\n \"\\\"Programming Language :: Python :: 3.7\\\", \\\"Programming Language :: Python :: 3.8\\\", \\\"Topic\",\n \":: Science/Research\\\", \\\"Intended Audience :: Developers\\\", \\\"License :: OSI Approved :: Apache Software\",\n \"Audience :: Science/Research\\\", \\\"Intended Audience :: Developers\\\", \\\"License :: OSI Approved :: Apache\",\n \"python_requires=\\\">=3.7\\\", classifiers=[ \\\"Intended Audience :: Science/Research\\\", \\\"Intended Audience :: Developers\\\", \\\"License :: OSI\",\n \"Apache Software License\\\", \\\"Programming Language :: Python :: 3.7\\\", \\\"Programming Language :: Python\",\n \"__version__ = \\\"0.0.0+develop\\\" setup( name=microlib_name, version=__version__, author=\\\"flyteorg\\\", author_email=\\\"<EMAIL>\\\", description=\\\"This is the flytekit papermill\",\n \"Software Development\\\", \\\"Topic :: Software Development :: Libraries\\\", \\\"Topic :: Software Development ::\",\n \"plugin\\\", namespace_packages=[\\\"flytekitplugins\\\"], packages=[f\\\"flytekitplugins.{PLUGIN_NAME}\\\"], install_requires=plugin_requires, license=\\\"apache2\\\", python_requires=\\\">=3.7\\\", classifiers=[ \\\"Intended Audience :: Science/Research\\\", \\\"Intended Audience\",\n \"= f\\\"flytekitplugins-{PLUGIN_NAME}\\\" plugin_requires = [ \\\"flytekit>=0.16.0b0,<1.0.0\\\", \\\"flytekitplugins-spark>=0.16.0b0,<1.0.0,!=0.24.0b0\\\", \\\"papermill>=1.2.0\\\", \\\"nbconvert>=6.0.7\\\", \\\"ipykernel>=5.0.0\\\", ] __version__ =\",\n \"Software Development :: Libraries\\\", \\\"Topic :: Software Development :: Libraries :: Python Modules\\\",\",\n \"papermill plugin\\\", namespace_packages=[\\\"flytekitplugins\\\"], packages=[f\\\"flytekitplugins.{PLUGIN_NAME}\\\"], install_requires=plugin_requires, license=\\\"apache2\\\", python_requires=\\\">=3.7\\\", classifiers=[ \\\"Intended Audience :: Science/Research\\\", \\\"Intended\",\n \"author=\\\"flyteorg\\\", author_email=\\\"<EMAIL>\\\", description=\\\"This is the flytekit papermill plugin\\\", namespace_packages=[\\\"flytekitplugins\\\"], packages=[f\\\"flytekitplugins.{PLUGIN_NAME}\\\"], install_requires=plugin_requires, license=\\\"apache2\\\", python_requires=\\\">=3.7\\\",\",\n \"version=__version__, author=\\\"flyteorg\\\", author_email=\\\"<EMAIL>\\\", description=\\\"This is the flytekit papermill plugin\\\", namespace_packages=[\\\"flytekitplugins\\\"], packages=[f\\\"flytekitplugins.{PLUGIN_NAME}\\\"], install_requires=plugin_requires, license=\\\"apache2\\\",\",\n \"\\\"Intended Audience :: Science/Research\\\", \\\"Intended Audience :: Developers\\\", \\\"License :: OSI Approved ::\",\n \":: Software Development\\\", \\\"Topic :: Software Development :: Libraries\\\", \\\"Topic :: Software Development\",\n \"\\\"nbconvert>=6.0.7\\\", \\\"ipykernel>=5.0.0\\\", ] __version__ = \\\"0.0.0+develop\\\" setup( name=microlib_name, version=__version__, author=\\\"flyteorg\\\", author_email=\\\"<EMAIL>\\\", description=\\\"This is\",\n \"OSI Approved :: Apache Software License\\\", \\\"Programming Language :: Python :: 3.7\\\", \\\"Programming\",\n \"[ \\\"flytekit>=0.16.0b0,<1.0.0\\\", \\\"flytekitplugins-spark>=0.16.0b0,<1.0.0,!=0.24.0b0\\\", \\\"papermill>=1.2.0\\\", \\\"nbconvert>=6.0.7\\\", \\\"ipykernel>=5.0.0\\\", ] __version__ = \\\"0.0.0+develop\\\" setup( name=microlib_name, version=__version__,\",\n \"Development :: Libraries\\\", \\\"Topic :: Software Development :: Libraries :: Python Modules\\\", ],\",\n \"license=\\\"apache2\\\", python_requires=\\\">=3.7\\\", classifiers=[ \\\"Intended Audience :: Science/Research\\\", \\\"Intended Audience :: Developers\\\", \\\"License ::\",\n \"\\\"Topic :: Software Development\\\", \\\"Topic :: Software Development :: Libraries\\\", \\\"Topic :: Software\",\n \"] __version__ = \\\"0.0.0+develop\\\" setup( name=microlib_name, version=__version__, author=\\\"flyteorg\\\", author_email=\\\"<EMAIL>\\\", description=\\\"This is the flytekit\",\n \"License\\\", \\\"Programming Language :: Python :: 3.7\\\", \\\"Programming Language :: Python :: 3.8\\\",\",\n \":: 3.8\\\", \\\"Topic :: Scientific/Engineering\\\", \\\"Topic :: Scientific/Engineering :: Artificial Intelligence\\\", \\\"Topic ::\",\n \":: Developers\\\", \\\"License :: OSI Approved :: Apache Software License\\\", \\\"Programming Language ::\",\n \"\\\"Topic :: Software Development :: Libraries\\\", \\\"Topic :: Software Development :: Libraries ::\",\n \"3.7\\\", \\\"Programming Language :: Python :: 3.8\\\", \\\"Topic :: Scientific/Engineering\\\", \\\"Topic :: Scientific/Engineering\",\n \"microlib_name = f\\\"flytekitplugins-{PLUGIN_NAME}\\\" plugin_requires = [ \\\"flytekit>=0.16.0b0,<1.0.0\\\", \\\"flytekitplugins-spark>=0.16.0b0,<1.0.0,!=0.24.0b0\\\", \\\"papermill>=1.2.0\\\", \\\"nbconvert>=6.0.7\\\", \\\"ipykernel>=5.0.0\\\", ] __version__\",\n \"Development\\\", \\\"Topic :: Software Development :: Libraries\\\", \\\"Topic :: Software Development :: Libraries\",\n \"is the flytekit papermill plugin\\\", namespace_packages=[\\\"flytekitplugins\\\"], packages=[f\\\"flytekitplugins.{PLUGIN_NAME}\\\"], install_requires=plugin_requires, license=\\\"apache2\\\", python_requires=\\\">=3.7\\\", classifiers=[ \\\"Intended Audience\",\n \"description=\\\"This is the flytekit papermill plugin\\\", namespace_packages=[\\\"flytekitplugins\\\"], packages=[f\\\"flytekitplugins.{PLUGIN_NAME}\\\"], install_requires=plugin_requires, license=\\\"apache2\\\", python_requires=\\\">=3.7\\\", classifiers=[ \\\"Intended\",\n \"\\\"flytekit>=0.16.0b0,<1.0.0\\\", \\\"flytekitplugins-spark>=0.16.0b0,<1.0.0,!=0.24.0b0\\\", \\\"papermill>=1.2.0\\\", \\\"nbconvert>=6.0.7\\\", \\\"ipykernel>=5.0.0\\\", ] __version__ = \\\"0.0.0+develop\\\" setup( name=microlib_name, version=__version__, author=\\\"flyteorg\\\",\",\n \"from setuptools import setup PLUGIN_NAME = \\\"papermill\\\" microlib_name = f\\\"flytekitplugins-{PLUGIN_NAME}\\\" plugin_requires = [\",\n \"Language :: Python :: 3.7\\\", \\\"Programming Language :: Python :: 3.8\\\", \\\"Topic ::\",\n \"PLUGIN_NAME = \\\"papermill\\\" microlib_name = f\\\"flytekitplugins-{PLUGIN_NAME}\\\" plugin_requires = [ \\\"flytekit>=0.16.0b0,<1.0.0\\\", \\\"flytekitplugins-spark>=0.16.0b0,<1.0.0,!=0.24.0b0\\\", \\\"papermill>=1.2.0\\\", \\\"nbconvert>=6.0.7\\\",\",\n \":: Apache Software License\\\", \\\"Programming Language :: Python :: 3.7\\\", \\\"Programming Language ::\",\n \"Artificial Intelligence\\\", \\\"Topic :: Software Development\\\", \\\"Topic :: Software Development :: Libraries\\\", \\\"Topic\",\n \"Science/Research\\\", \\\"Intended Audience :: Developers\\\", \\\"License :: OSI Approved :: Apache Software License\\\",\",\n \"Scientific/Engineering\\\", \\\"Topic :: Scientific/Engineering :: Artificial Intelligence\\\", \\\"Topic :: Software Development\\\", \\\"Topic ::\",\n \"author_email=\\\"<EMAIL>\\\", description=\\\"This is the flytekit papermill plugin\\\", namespace_packages=[\\\"flytekitplugins\\\"], packages=[f\\\"flytekitplugins.{PLUGIN_NAME}\\\"], install_requires=plugin_requires, license=\\\"apache2\\\", python_requires=\\\">=3.7\\\", classifiers=[\",\n \":: Artificial Intelligence\\\", \\\"Topic :: Software Development\\\", \\\"Topic :: Software Development :: Libraries\\\",\",\n \"install_requires=plugin_requires, license=\\\"apache2\\\", python_requires=\\\">=3.7\\\", classifiers=[ \\\"Intended Audience :: Science/Research\\\", \\\"Intended Audience :: Developers\\\", \\\"License\",\n \"Scientific/Engineering :: Artificial Intelligence\\\", \\\"Topic :: Software Development\\\", \\\"Topic :: Software Development ::\",\n \"Python :: 3.8\\\", \\\"Topic :: Scientific/Engineering\\\", \\\"Topic :: Scientific/Engineering :: Artificial Intelligence\\\", \\\"Topic\",\n \":: Libraries\\\", \\\"Topic :: Software Development :: Libraries :: Python Modules\\\", ], )\",\n \"Python :: 3.7\\\", \\\"Programming Language :: Python :: 3.8\\\", \\\"Topic :: Scientific/Engineering\\\", \\\"Topic\",\n \"flytekit papermill plugin\\\", namespace_packages=[\\\"flytekitplugins\\\"], packages=[f\\\"flytekitplugins.{PLUGIN_NAME}\\\"], install_requires=plugin_requires, license=\\\"apache2\\\", python_requires=\\\">=3.7\\\", classifiers=[ \\\"Intended Audience :: Science/Research\\\",\",\n \"Software License\\\", \\\"Programming Language :: Python :: 3.7\\\", \\\"Programming Language :: Python ::\",\n \":: Scientific/Engineering\\\", \\\"Topic :: Scientific/Engineering :: Artificial Intelligence\\\", \\\"Topic :: Software Development\\\", \\\"Topic\",\n \":: Python :: 3.7\\\", \\\"Programming Language :: Python :: 3.8\\\", \\\"Topic :: Scientific/Engineering\\\",\",\n \"the flytekit papermill plugin\\\", namespace_packages=[\\\"flytekitplugins\\\"], packages=[f\\\"flytekitplugins.{PLUGIN_NAME}\\\"], install_requires=plugin_requires, license=\\\"apache2\\\", python_requires=\\\">=3.7\\\", classifiers=[ \\\"Intended Audience ::\",\n \":: Scientific/Engineering :: Artificial Intelligence\\\", \\\"Topic :: Software Development\\\", \\\"Topic :: Software Development\",\n \"\\\"Programming Language :: Python :: 3.8\\\", \\\"Topic :: Scientific/Engineering\\\", \\\"Topic :: Scientific/Engineering ::\",\n \"setup( name=microlib_name, version=__version__, author=\\\"flyteorg\\\", author_email=\\\"<EMAIL>\\\", description=\\\"This is the flytekit papermill plugin\\\", namespace_packages=[\\\"flytekitplugins\\\"], packages=[f\\\"flytekitplugins.{PLUGIN_NAME}\\\"],\",\n \":: 3.7\\\", \\\"Programming Language :: Python :: 3.8\\\", \\\"Topic :: Scientific/Engineering\\\", \\\"Topic ::\",\n \":: Python :: 3.8\\\", \\\"Topic :: Scientific/Engineering\\\", \\\"Topic :: Scientific/Engineering :: Artificial Intelligence\\\",\",\n \"\\\"License :: OSI Approved :: Apache Software License\\\", \\\"Programming Language :: Python ::\",\n \"packages=[f\\\"flytekitplugins.{PLUGIN_NAME}\\\"], install_requires=plugin_requires, license=\\\"apache2\\\", python_requires=\\\">=3.7\\\", classifiers=[ \\\"Intended Audience :: Science/Research\\\", \\\"Intended Audience :: Developers\\\",\",\n \"import setup PLUGIN_NAME = \\\"papermill\\\" microlib_name = f\\\"flytekitplugins-{PLUGIN_NAME}\\\" plugin_requires = [ \\\"flytekit>=0.16.0b0,<1.0.0\\\", \\\"flytekitplugins-spark>=0.16.0b0,<1.0.0,!=0.24.0b0\\\",\",\n \"\\\"flytekitplugins-spark>=0.16.0b0,<1.0.0,!=0.24.0b0\\\", \\\"papermill>=1.2.0\\\", \\\"nbconvert>=6.0.7\\\", \\\"ipykernel>=5.0.0\\\", ] __version__ = \\\"0.0.0+develop\\\" setup( name=microlib_name, version=__version__, author=\\\"flyteorg\\\", author_email=\\\"<EMAIL>\\\",\",\n \"Audience :: Developers\\\", \\\"License :: OSI Approved :: Apache Software License\\\", \\\"Programming Language\",\n \"Approved :: Apache Software License\\\", \\\"Programming Language :: Python :: 3.7\\\", \\\"Programming Language\",\n \"\\\"papermill>=1.2.0\\\", \\\"nbconvert>=6.0.7\\\", \\\"ipykernel>=5.0.0\\\", ] __version__ = \\\"0.0.0+develop\\\" setup( name=microlib_name, version=__version__, author=\\\"flyteorg\\\", author_email=\\\"<EMAIL>\\\", description=\\\"This\",\n \"\\\"Topic :: Scientific/Engineering\\\", \\\"Topic :: Scientific/Engineering :: Artificial Intelligence\\\", \\\"Topic :: Software Development\\\",\",\n \"f\\\"flytekitplugins-{PLUGIN_NAME}\\\" plugin_requires = [ \\\"flytekit>=0.16.0b0,<1.0.0\\\", \\\"flytekitplugins-spark>=0.16.0b0,<1.0.0,!=0.24.0b0\\\", \\\"papermill>=1.2.0\\\", \\\"nbconvert>=6.0.7\\\", \\\"ipykernel>=5.0.0\\\", ] __version__ = \\\"0.0.0+develop\\\"\",\n \"= \\\"papermill\\\" microlib_name = f\\\"flytekitplugins-{PLUGIN_NAME}\\\" plugin_requires = [ \\\"flytekit>=0.16.0b0,<1.0.0\\\", \\\"flytekitplugins-spark>=0.16.0b0,<1.0.0,!=0.24.0b0\\\", \\\"papermill>=1.2.0\\\", \\\"nbconvert>=6.0.7\\\", \\\"ipykernel>=5.0.0\\\",\",\n \":: Software Development :: Libraries\\\", \\\"Topic :: Software Development :: Libraries :: Python\",\n \"\\\"Topic :: Scientific/Engineering :: Artificial Intelligence\\\", \\\"Topic :: Software Development\\\", \\\"Topic :: Software\"\n]","isConversational":false}}},{"rowIdx":1279,"cells":{"ngram":{"kind":"list like","value":["input): size += 2 s_size = size * size bottom_right = s_size bottom_left","> bottom_left): input_x = size - 1 input_y = input - bottom_left elif","- 3 * size + 3 input_x = -1 input_y = -1 #","(input > top_left): input_y = input - top_left input_x = 0 elif (input","input - bottom_left elif (input > top_left): input_y = input - top_left input_x","-1 # bottom horizontal line if (input > bottom_left): input_x = size -","= 368078 size = 1 s_size = size * size # squared size","= s_size - 3 * size + 3 input_x = -1 input_y =","= s_size - 2 * size + 2 top_right = s_size - 3","1 else: input_x = top_right - input input_y = size - 1 ap_x","bottom_left elif (input > top_left): input_y = input - top_left input_x = 0","* size + 3 input_x = -1 input_y = -1 # bottom horizontal","input_y = size - 1 ap_x = size / 2 ap_y = ap_x","(input > bottom_left): input_x = size - 1 input_y = input - bottom_left","input_x = 0 input_y = size - input + top_right - 1 else:","= s_size bottom_left = s_size - size + 1 top_left = s_size -","horizontal line if (input > bottom_left): input_x = size - 1 input_y =","elif (input > top_left): input_y = input - top_left input_x = 0 elif","3 * size + 3 input_x = -1 input_y = -1 # bottom","top_right - 1 else: input_x = top_right - input input_y = size -","= size * size bottom_right = s_size bottom_left = s_size - size +","size + 3 input_x = -1 input_y = -1 # bottom horizontal line","top_left = s_size - 2 * size + 2 top_right = s_size -","1 top_left = s_size - 2 * size + 2 top_right = s_size","-1 input_y = -1 # bottom horizontal line if (input > bottom_left): input_x","input_x = 0 elif (input > top_right): input_x = 0 input_y = size","= size - 1 input_y = input - bottom_left elif (input > top_left):","= input - bottom_left elif (input > top_left): input_y = input - top_left","- size + 1 top_left = s_size - 2 * size + 2","size while (s_size < input): size += 2 s_size = size * size","s_size - 2 * size + 2 top_right = s_size - 3 *","= 0 input_y = size - input + top_right - 1 else: input_x","+ 2 top_right = s_size - 3 * size + 3 input_x =","# squared size while (s_size < input): size += 2 s_size = size","while (s_size < input): size += 2 s_size = size * size bottom_right","squared size while (s_size < input): size += 2 s_size = size *","size * size # squared size while (s_size < input): size += 2","2 * size + 2 top_right = s_size - 3 * size +","input_y = -1 # bottom horizontal line if (input > bottom_left): input_x =","368078 size = 1 s_size = size * size # squared size while","2 top_right = s_size - 3 * size + 3 input_x = -1","size - input + top_right - 1 else: input_x = top_right - input","2 s_size = size * size bottom_right = s_size bottom_left = s_size -","s_size bottom_left = s_size - size + 1 top_left = s_size - 2","input_y = input - top_left input_x = 0 elif (input > top_right): input_x","+ 1 top_left = s_size - 2 * size + 2 top_right =","input_y = size - input + top_right - 1 else: input_x = top_right","top_right): input_x = 0 input_y = size - input + top_right - 1","size + 2 top_right = s_size - 3 * size + 3 input_x","- 1 input_y = input - bottom_left elif (input > top_left): input_y =","input input_y = size - 1 ap_x = size / 2 ap_y =","1 ap_x = size / 2 ap_y = ap_x print abs(ap_x - input_x)","size / 2 ap_y = ap_x print abs(ap_x - input_x) + abs(ap_y -","size - 1 input_y = input - bottom_left elif (input > top_left): input_y","= input - top_left input_x = 0 elif (input > top_right): input_x =","> top_right): input_x = 0 input_y = size - input + top_right -","s_size = size * size # squared size while (s_size < input): size","= -1 # bottom horizontal line if (input > bottom_left): input_x = size","* size bottom_right = s_size bottom_left = s_size - size + 1 top_left","input_x = size - 1 input_y = input - bottom_left elif (input >","* size + 2 top_right = s_size - 3 * size + 3","= 0 elif (input > top_right): input_x = 0 input_y = size -","0 input_y = size - input + top_right - 1 else: input_x =","- 1 else: input_x = top_right - input input_y = size - 1","+= 2 s_size = size * size bottom_right = s_size bottom_left = s_size","#!/usr/bin/env python input = 368078 size = 1 s_size = size * size","= s_size - size + 1 top_left = s_size - 2 * size","top_left input_x = 0 elif (input > top_right): input_x = 0 input_y =","= -1 input_y = -1 # bottom horizontal line if (input > bottom_left):","size # squared size while (s_size < input): size += 2 s_size =","+ top_right - 1 else: input_x = top_right - input input_y = size","size + 1 top_left = s_size - 2 * size + 2 top_right","input_x = -1 input_y = -1 # bottom horizontal line if (input >","size = 1 s_size = size * size # squared size while (s_size","input + top_right - 1 else: input_x = top_right - input input_y =","- 2 * size + 2 top_right = s_size - 3 * size","3 input_x = -1 input_y = -1 # bottom horizontal line if (input","= top_right - input input_y = size - 1 ap_x = size /","= size / 2 ap_y = ap_x print abs(ap_x - input_x) + abs(ap_y","bottom_left = s_size - size + 1 top_left = s_size - 2 *","+ 3 input_x = -1 input_y = -1 # bottom horizontal line if","= size - input + top_right - 1 else: input_x = top_right -","elif (input > top_right): input_x = 0 input_y = size - input +","input - top_left input_x = 0 elif (input > top_right): input_x = 0","size - 1 ap_x = size / 2 ap_y = ap_x print abs(ap_x","< input): size += 2 s_size = size * size bottom_right = s_size","size += 2 s_size = size * size bottom_right = s_size bottom_left =","top_right = s_size - 3 * size + 3 input_x = -1 input_y","(input > top_right): input_x = 0 input_y = size - input + top_right","python input = 368078 size = 1 s_size = size * size #","(s_size < input): size += 2 s_size = size * size bottom_right =","= size * size # squared size while (s_size < input): size +=","top_right - input input_y = size - 1 ap_x = size / 2","- bottom_left elif (input > top_left): input_y = input - top_left input_x =","* size # squared size while (s_size < input): size += 2 s_size","= 1 s_size = size * size # squared size while (s_size <","else: input_x = top_right - input input_y = size - 1 ap_x =","= size - 1 ap_x = size / 2 ap_y = ap_x print","size bottom_right = s_size bottom_left = s_size - size + 1 top_left =","# bottom horizontal line if (input > bottom_left): input_x = size - 1","s_size = size * size bottom_right = s_size bottom_left = s_size - size","input_y = input - bottom_left elif (input > top_left): input_y = input -","top_left): input_y = input - top_left input_x = 0 elif (input > top_right):","line if (input > bottom_left): input_x = size - 1 input_y = input","s_size - size + 1 top_left = s_size - 2 * size +","- input + top_right - 1 else: input_x = top_right - input input_y","bottom horizontal line if (input > bottom_left): input_x = size - 1 input_y","size * size bottom_right = s_size bottom_left = s_size - size + 1","> top_left): input_y = input - top_left input_x = 0 elif (input >","0 elif (input > top_right): input_x = 0 input_y = size - input","- top_left input_x = 0 elif (input > top_right): input_x = 0 input_y","bottom_right = s_size bottom_left = s_size - size + 1 top_left = s_size","s_size - 3 * size + 3 input_x = -1 input_y = -1","if (input > bottom_left): input_x = size - 1 input_y = input -","ap_x = size / 2 ap_y = ap_x print abs(ap_x - input_x) +","- 1 ap_x = size / 2 ap_y = ap_x print abs(ap_x -","input_x = top_right - input input_y = size - 1 ap_x = size","bottom_left): input_x = size - 1 input_y = input - bottom_left elif (input","/ 2 ap_y = ap_x print abs(ap_x - input_x) + abs(ap_y - input_y)","1 s_size = size * size # squared size while (s_size < input):","- input input_y = size - 1 ap_x = size / 2 ap_y","1 input_y = input - bottom_left elif (input > top_left): input_y = input","input = 368078 size = 1 s_size = size * size # squared"],"string":"[\n \"input): size += 2 s_size = size * size bottom_right = s_size bottom_left\",\n \"> bottom_left): input_x = size - 1 input_y = input - bottom_left elif\",\n \"- 3 * size + 3 input_x = -1 input_y = -1 #\",\n \"(input > top_left): input_y = input - top_left input_x = 0 elif (input\",\n \"input - bottom_left elif (input > top_left): input_y = input - top_left input_x\",\n \"-1 # bottom horizontal line if (input > bottom_left): input_x = size -\",\n \"= 368078 size = 1 s_size = size * size # squared size\",\n \"= s_size - 3 * size + 3 input_x = -1 input_y =\",\n \"= s_size - 2 * size + 2 top_right = s_size - 3\",\n \"1 else: input_x = top_right - input input_y = size - 1 ap_x\",\n \"bottom_left elif (input > top_left): input_y = input - top_left input_x = 0\",\n \"* size + 3 input_x = -1 input_y = -1 # bottom horizontal\",\n \"input_y = size - 1 ap_x = size / 2 ap_y = ap_x\",\n \"(input > bottom_left): input_x = size - 1 input_y = input - bottom_left\",\n \"input_x = 0 input_y = size - input + top_right - 1 else:\",\n \"= s_size bottom_left = s_size - size + 1 top_left = s_size -\",\n \"horizontal line if (input > bottom_left): input_x = size - 1 input_y =\",\n \"elif (input > top_left): input_y = input - top_left input_x = 0 elif\",\n \"3 * size + 3 input_x = -1 input_y = -1 # bottom\",\n \"top_right - 1 else: input_x = top_right - input input_y = size -\",\n \"= size * size bottom_right = s_size bottom_left = s_size - size +\",\n \"size + 3 input_x = -1 input_y = -1 # bottom horizontal line\",\n \"top_left = s_size - 2 * size + 2 top_right = s_size -\",\n \"1 top_left = s_size - 2 * size + 2 top_right = s_size\",\n \"-1 input_y = -1 # bottom horizontal line if (input > bottom_left): input_x\",\n \"input_x = 0 elif (input > top_right): input_x = 0 input_y = size\",\n \"= size - 1 input_y = input - bottom_left elif (input > top_left):\",\n \"= input - bottom_left elif (input > top_left): input_y = input - top_left\",\n \"- size + 1 top_left = s_size - 2 * size + 2\",\n \"size while (s_size < input): size += 2 s_size = size * size\",\n \"s_size - 2 * size + 2 top_right = s_size - 3 *\",\n \"= 0 input_y = size - input + top_right - 1 else: input_x\",\n \"+ 2 top_right = s_size - 3 * size + 3 input_x =\",\n \"# squared size while (s_size < input): size += 2 s_size = size\",\n \"while (s_size < input): size += 2 s_size = size * size bottom_right\",\n \"squared size while (s_size < input): size += 2 s_size = size *\",\n \"size * size # squared size while (s_size < input): size += 2\",\n \"2 * size + 2 top_right = s_size - 3 * size +\",\n \"input_y = -1 # bottom horizontal line if (input > bottom_left): input_x =\",\n \"368078 size = 1 s_size = size * size # squared size while\",\n \"2 top_right = s_size - 3 * size + 3 input_x = -1\",\n \"size - input + top_right - 1 else: input_x = top_right - input\",\n \"2 s_size = size * size bottom_right = s_size bottom_left = s_size -\",\n \"s_size bottom_left = s_size - size + 1 top_left = s_size - 2\",\n \"input_y = input - top_left input_x = 0 elif (input > top_right): input_x\",\n \"+ 1 top_left = s_size - 2 * size + 2 top_right =\",\n \"input_y = size - input + top_right - 1 else: input_x = top_right\",\n \"top_right): input_x = 0 input_y = size - input + top_right - 1\",\n \"size + 2 top_right = s_size - 3 * size + 3 input_x\",\n \"- 1 input_y = input - bottom_left elif (input > top_left): input_y =\",\n \"input input_y = size - 1 ap_x = size / 2 ap_y =\",\n \"1 ap_x = size / 2 ap_y = ap_x print abs(ap_x - input_x)\",\n \"size / 2 ap_y = ap_x print abs(ap_x - input_x) + abs(ap_y -\",\n \"size - 1 input_y = input - bottom_left elif (input > top_left): input_y\",\n \"= input - top_left input_x = 0 elif (input > top_right): input_x =\",\n \"> top_right): input_x = 0 input_y = size - input + top_right -\",\n \"s_size = size * size # squared size while (s_size < input): size\",\n \"= -1 # bottom horizontal line if (input > bottom_left): input_x = size\",\n \"* size bottom_right = s_size bottom_left = s_size - size + 1 top_left\",\n \"input_x = size - 1 input_y = input - bottom_left elif (input >\",\n \"* size + 2 top_right = s_size - 3 * size + 3\",\n \"= 0 elif (input > top_right): input_x = 0 input_y = size -\",\n \"0 input_y = size - input + top_right - 1 else: input_x =\",\n \"- 1 else: input_x = top_right - input input_y = size - 1\",\n \"+= 2 s_size = size * size bottom_right = s_size bottom_left = s_size\",\n \"#!/usr/bin/env python input = 368078 size = 1 s_size = size * size\",\n \"= s_size - size + 1 top_left = s_size - 2 * size\",\n \"top_left input_x = 0 elif (input > top_right): input_x = 0 input_y =\",\n \"= -1 input_y = -1 # bottom horizontal line if (input > bottom_left):\",\n \"size # squared size while (s_size < input): size += 2 s_size =\",\n \"+ top_right - 1 else: input_x = top_right - input input_y = size\",\n \"size + 1 top_left = s_size - 2 * size + 2 top_right\",\n \"input_x = -1 input_y = -1 # bottom horizontal line if (input >\",\n \"size = 1 s_size = size * size # squared size while (s_size\",\n \"input + top_right - 1 else: input_x = top_right - input input_y =\",\n \"- 2 * size + 2 top_right = s_size - 3 * size\",\n \"3 input_x = -1 input_y = -1 # bottom horizontal line if (input\",\n \"= top_right - input input_y = size - 1 ap_x = size /\",\n \"= size / 2 ap_y = ap_x print abs(ap_x - input_x) + abs(ap_y\",\n \"bottom_left = s_size - size + 1 top_left = s_size - 2 *\",\n \"+ 3 input_x = -1 input_y = -1 # bottom horizontal line if\",\n \"= size - input + top_right - 1 else: input_x = top_right -\",\n \"elif (input > top_right): input_x = 0 input_y = size - input +\",\n \"input - top_left input_x = 0 elif (input > top_right): input_x = 0\",\n \"size - 1 ap_x = size / 2 ap_y = ap_x print abs(ap_x\",\n \"< input): size += 2 s_size = size * size bottom_right = s_size\",\n \"size += 2 s_size = size * size bottom_right = s_size bottom_left =\",\n \"top_right = s_size - 3 * size + 3 input_x = -1 input_y\",\n \"(input > top_right): input_x = 0 input_y = size - input + top_right\",\n \"python input = 368078 size = 1 s_size = size * size #\",\n \"(s_size < input): size += 2 s_size = size * size bottom_right =\",\n \"= size * size # squared size while (s_size < input): size +=\",\n \"top_right - input input_y = size - 1 ap_x = size / 2\",\n \"- bottom_left elif (input > top_left): input_y = input - top_left input_x =\",\n \"* size # squared size while (s_size < input): size += 2 s_size\",\n \"= 1 s_size = size * size # squared size while (s_size <\",\n \"else: input_x = top_right - input input_y = size - 1 ap_x =\",\n \"= size - 1 ap_x = size / 2 ap_y = ap_x print\",\n \"size bottom_right = s_size bottom_left = s_size - size + 1 top_left =\",\n \"# bottom horizontal line if (input > bottom_left): input_x = size - 1\",\n \"s_size = size * size bottom_right = s_size bottom_left = s_size - size\",\n \"input_y = input - bottom_left elif (input > top_left): input_y = input -\",\n \"top_left): input_y = input - top_left input_x = 0 elif (input > top_right):\",\n \"line if (input > bottom_left): input_x = size - 1 input_y = input\",\n \"s_size - size + 1 top_left = s_size - 2 * size +\",\n \"- input + top_right - 1 else: input_x = top_right - input input_y\",\n \"bottom horizontal line if (input > bottom_left): input_x = size - 1 input_y\",\n \"size * size bottom_right = s_size bottom_left = s_size - size + 1\",\n \"> top_left): input_y = input - top_left input_x = 0 elif (input >\",\n \"0 elif (input > top_right): input_x = 0 input_y = size - input\",\n \"- top_left input_x = 0 elif (input > top_right): input_x = 0 input_y\",\n \"bottom_right = s_size bottom_left = s_size - size + 1 top_left = s_size\",\n \"s_size - 3 * size + 3 input_x = -1 input_y = -1\",\n \"if (input > bottom_left): input_x = size - 1 input_y = input -\",\n \"ap_x = size / 2 ap_y = ap_x print abs(ap_x - input_x) +\",\n \"- 1 ap_x = size / 2 ap_y = ap_x print abs(ap_x -\",\n \"input_x = top_right - input input_y = size - 1 ap_x = size\",\n \"bottom_left): input_x = size - 1 input_y = input - bottom_left elif (input\",\n \"/ 2 ap_y = ap_x print abs(ap_x - input_x) + abs(ap_y - input_y)\",\n \"1 s_size = size * size # squared size while (s_size < input):\",\n \"- input input_y = size - 1 ap_x = size / 2 ap_y\",\n \"1 input_y = input - bottom_left elif (input > top_left): input_y = input\",\n \"input = 368078 size = 1 s_size = size * size # squared\"\n]","isConversational":false}}},{"rowIdx":1280,"cells":{"ngram":{"kind":"list like","value":["display(self, prefix): res = prefix + self.name + \"\\n\" if hasattr(self.underlying_tree, \"children\"): for","return self.underlying_tree(*x) * self.weight + self.bias def __len__(self): return len(self.underlying_tree) def display(self, prefix):","tree in ind.trees] ) @staticmethod def from_pickled_individual(fname): return ParameterizedIndividual.from_individual(load_pickle(fname)) def __call__(self, *x): return","underlying_tree, init_fct=None, _copy=True): if _copy: underlying_tree = copy.deepcopy(underlying_tree) # safety first if hasattr(underlying_tree,","@staticmethod def from_pickled_individual(fname): return ParameterizedIndividual.from_individual(load_pickle(fname)) def __call__(self, *x): return [tree(*x) for tree in","__len__(self): return sum(len(tree) for tree in self.parameterized_trees) def set_flat_parameters(self, params): n_used = 0","def __len__(self): return len(self.underlying_tree) def display(self, prefix): res = prefix + self.name +","__init__(self, parameterized_trees): self.parameterized_trees = parameterized_trees @staticmethod def from_individual(ind): return ParameterizedIndividual( parameterized_trees=[ParameterizedTree(tree) for tree","from racer.methods.genetic_programming.program_tree import ProgramTree class ParameterizedTree(ProgramTree): # This makes the assumption that all","return ParameterizedIndividual( parameterized_trees=[ParameterizedTree(tree) for tree in ind.trees] ) @staticmethod def from_pickled_individual(fname): return ParameterizedIndividual.from_individual(load_pickle(fname))","set_params(self, params): self.weight, self.bias = params self.name = self.underlying_tree.name + \" * {}","in self.parameterized_trees) def set_flat_parameters(self, params): n_used = 0 for tree in self.parameterized_trees: for","+= 2 def get_flat_parameters(self): params = [] for tree in self.parameterized_trees: for node","sum(len(tree) for tree in self.parameterized_trees) def set_flat_parameters(self, params): n_used = 0 for tree","if hasattr(underlying_tree, \"children\"): underlying_tree.children = [ ParameterizedTree(underlying_tree=child, _copy=False) for child in underlying_tree.children ]","+ self.bias def __len__(self): return len(self.underlying_tree) def display(self, prefix): res = prefix +","yield node class ParameterizedIndividual: def __init__(self, parameterized_trees): self.parameterized_trees = parameterized_trees @staticmethod def from_individual(ind):","has the field .name def __init__(self, underlying_tree, init_fct=None, _copy=True): if _copy: underlying_tree =","self.underlying_tree.name + \" * {} + {}\".format( self.weight, self.bias ) def get_params(self): return","= prefix + self.name + \"\\n\" if hasattr(self.underlying_tree, \"children\"): for child in self.underlying_tree.children:","= parameterized_trees @staticmethod def from_individual(ind): return ParameterizedIndividual( parameterized_trees=[ParameterizedTree(tree) for tree in ind.trees] )","in a field .children and that the underlying tree has the field .name","0]) else: self.set_params(init_fct()) def set_params(self, params): self.weight, self.bias = params self.name = self.underlying_tree.name","hasattr(underlying_tree, \"children\"): underlying_tree.children = [ ParameterizedTree(underlying_tree=child, _copy=False) for child in underlying_tree.children ] self.underlying_tree","def __call__(self, *x): return self.underlying_tree(*x) * self.weight + self.bias def __len__(self): return len(self.underlying_tree)","for child in self.underlying_tree.children: for node in child.in_order(): yield node class ParameterizedIndividual: def","self.weight, self.bias ) def get_params(self): return [self.weight, self.bias] def __call__(self, *x): return self.underlying_tree(*x)","return [tree(*x) for tree in self.parameterized_trees] def __len__(self): return sum(len(tree) for tree in","the underlying tree has the field .name def __init__(self, underlying_tree, init_fct=None, _copy=True): if","parameterized_trees=[ParameterizedTree(tree) for tree in ind.trees] ) @staticmethod def from_pickled_individual(fname): return ParameterizedIndividual.from_individual(load_pickle(fname)) def __call__(self,","in ind.trees] ) @staticmethod def from_pickled_individual(fname): return ParameterizedIndividual.from_individual(load_pickle(fname)) def __call__(self, *x): return [tree(*x)","params): n_used = 0 for tree in self.parameterized_trees: for node in tree.in_order(): node.set_params(list(params[n_used","self.bias ) def get_params(self): return [self.weight, self.bias] def __call__(self, *x): return self.underlying_tree(*x) *","in self.underlying_tree.children: res += child.display(prefix=\" \" + prefix) return res def _set_dirty(self): raise","ParameterizedIndividual.from_individual(load_pickle(fname)) def __call__(self, *x): return [tree(*x) for tree in self.parameterized_trees] def __len__(self): return","for tree in self.parameterized_trees: for node in tree.in_order(): params += node.get_params() return np.array(params)",".children and that the underlying tree has the field .name def __init__(self, underlying_tree,","load_pickle from racer.methods.genetic_programming.program_tree import ProgramTree class ParameterizedTree(ProgramTree): # This makes the assumption that","get_flat_parameters(self): params = [] for tree in self.parameterized_trees: for node in tree.in_order(): params","\" + prefix) return res def _set_dirty(self): raise Exception(\"Parameterized trees should not be","return len(self.underlying_tree) def display(self, prefix): res = prefix + self.name + \"\\n\" if","\"children\"): for child in self.underlying_tree.children: res += child.display(prefix=\" \" + prefix) return res","\"\\n\" if hasattr(self.underlying_tree, \"children\"): for child in self.underlying_tree.children: res += child.display(prefix=\" \" +","self.underlying_tree.children: for node in child.in_order(): yield node class ParameterizedIndividual: def __init__(self, parameterized_trees): self.parameterized_trees","in underlying_tree.children ] self.underlying_tree = underlying_tree if init_fct is None: self.set_params([1, 0]) else:","len(self.underlying_tree) def display(self, prefix): res = prefix + self.name + \"\\n\" if hasattr(self.underlying_tree,","# safety first if hasattr(underlying_tree, \"children\"): underlying_tree.children = [ ParameterizedTree(underlying_tree=child, _copy=False) for child","in_order(self): yield self if hasattr(self.underlying_tree, \"children\"): for child in self.underlying_tree.children: for node in","node in child.in_order(): yield node class ParameterizedIndividual: def __init__(self, parameterized_trees): self.parameterized_trees = parameterized_trees","<filename>racer/methods/genetic_programming/parameterized.py<gh_stars>1-10 import copy import numpy as np from racer.utils import load_pickle from racer.methods.genetic_programming.program_tree","self.underlying_tree = underlying_tree if init_fct is None: self.set_params([1, 0]) else: self.set_params(init_fct()) def set_params(self,","class ParameterizedTree(ProgramTree): # This makes the assumption that all children of the underlying","import numpy as np from racer.utils import load_pickle from racer.methods.genetic_programming.program_tree import ProgramTree class","def in_order(self): yield self if hasattr(self.underlying_tree, \"children\"): for child in self.underlying_tree.children: for node","= 0 for tree in self.parameterized_trees: for node in tree.in_order(): node.set_params(list(params[n_used : n_used","raise Exception(\"Parameterized trees should not be mutated\") def in_order(self): yield self if hasattr(self.underlying_tree,","for node in child.in_order(): yield node class ParameterizedIndividual: def __init__(self, parameterized_trees): self.parameterized_trees =","self.parameterized_trees: for node in tree.in_order(): node.set_params(list(params[n_used : n_used + 2])) n_used += 2","res def _set_dirty(self): raise Exception(\"Parameterized trees should not be mutated\") def in_order(self): yield","underlying tree are in a field .children and that the underlying tree has","0 for tree in self.parameterized_trees: for node in tree.in_order(): node.set_params(list(params[n_used : n_used +","= [ ParameterizedTree(underlying_tree=child, _copy=False) for child in underlying_tree.children ] self.underlying_tree = underlying_tree if","] self.underlying_tree = underlying_tree if init_fct is None: self.set_params([1, 0]) else: self.set_params(init_fct()) def","underlying_tree = copy.deepcopy(underlying_tree) # safety first if hasattr(underlying_tree, \"children\"): underlying_tree.children = [ ParameterizedTree(underlying_tree=child,","set_flat_parameters(self, params): n_used = 0 for tree in self.parameterized_trees: for node in tree.in_order():","all children of the underlying tree are in a field .children and that","child.display(prefix=\" \" + prefix) return res def _set_dirty(self): raise Exception(\"Parameterized trees should not","copy.deepcopy(underlying_tree) # safety first if hasattr(underlying_tree, \"children\"): underlying_tree.children = [ ParameterizedTree(underlying_tree=child, _copy=False) for","_set_dirty(self): raise Exception(\"Parameterized trees should not be mutated\") def in_order(self): yield self if","racer.utils import load_pickle from racer.methods.genetic_programming.program_tree import ProgramTree class ParameterizedTree(ProgramTree): # This makes the","_copy=True): if _copy: underlying_tree = copy.deepcopy(underlying_tree) # safety first if hasattr(underlying_tree, \"children\"): underlying_tree.children","a field .children and that the underlying tree has the field .name def","return res def _set_dirty(self): raise Exception(\"Parameterized trees should not be mutated\") def in_order(self):","def set_flat_parameters(self, params): n_used = 0 for tree in self.parameterized_trees: for node in",": n_used + 2])) n_used += 2 def get_flat_parameters(self): params = [] for","+ \" * {} + {}\".format( self.weight, self.bias ) def get_params(self): return [self.weight,","= underlying_tree if init_fct is None: self.set_params([1, 0]) else: self.set_params(init_fct()) def set_params(self, params):",") @staticmethod def from_pickled_individual(fname): return ParameterizedIndividual.from_individual(load_pickle(fname)) def __call__(self, *x): return [tree(*x) for tree","self.underlying_tree.children: res += child.display(prefix=\" \" + prefix) return res def _set_dirty(self): raise Exception(\"Parameterized","hasattr(self.underlying_tree, \"children\"): for child in self.underlying_tree.children: res += child.display(prefix=\" \" + prefix) return","children of the underlying tree are in a field .children and that the","should not be mutated\") def in_order(self): yield self if hasattr(self.underlying_tree, \"children\"): for child","def _set_dirty(self): raise Exception(\"Parameterized trees should not be mutated\") def in_order(self): yield self","the underlying tree are in a field .children and that the underlying tree","+ self.name + \"\\n\" if hasattr(self.underlying_tree, \"children\"): for child in self.underlying_tree.children: res +=","init_fct=None, _copy=True): if _copy: underlying_tree = copy.deepcopy(underlying_tree) # safety first if hasattr(underlying_tree, \"children\"):","else: self.set_params(init_fct()) def set_params(self, params): self.weight, self.bias = params self.name = self.underlying_tree.name +","safety first if hasattr(underlying_tree, \"children\"): underlying_tree.children = [ ParameterizedTree(underlying_tree=child, _copy=False) for child in","n_used = 0 for tree in self.parameterized_trees: for node in tree.in_order(): node.set_params(list(params[n_used :","[ ParameterizedTree(underlying_tree=child, _copy=False) for child in underlying_tree.children ] self.underlying_tree = underlying_tree if init_fct","prefix) return res def _set_dirty(self): raise Exception(\"Parameterized trees should not be mutated\") def","get_params(self): return [self.weight, self.bias] def __call__(self, *x): return self.underlying_tree(*x) * self.weight + self.bias",") def get_params(self): return [self.weight, self.bias] def __call__(self, *x): return self.underlying_tree(*x) * self.weight","self.bias] def __call__(self, *x): return self.underlying_tree(*x) * self.weight + self.bias def __len__(self): return","_copy: underlying_tree = copy.deepcopy(underlying_tree) # safety first if hasattr(underlying_tree, \"children\"): underlying_tree.children = [","tree in self.parameterized_trees) def set_flat_parameters(self, params): n_used = 0 for tree in self.parameterized_trees:","self.bias def __len__(self): return len(self.underlying_tree) def display(self, prefix): res = prefix + self.name","self.name = self.underlying_tree.name + \" * {} + {}\".format( self.weight, self.bias ) def","Exception(\"Parameterized trees should not be mutated\") def in_order(self): yield self if hasattr(self.underlying_tree, \"children\"):","if hasattr(self.underlying_tree, \"children\"): for child in self.underlying_tree.children: for node in child.in_order(): yield node","as np from racer.utils import load_pickle from racer.methods.genetic_programming.program_tree import ProgramTree class ParameterizedTree(ProgramTree): #","[self.weight, self.bias] def __call__(self, *x): return self.underlying_tree(*x) * self.weight + self.bias def __len__(self):","in self.parameterized_trees] def __len__(self): return sum(len(tree) for tree in self.parameterized_trees) def set_flat_parameters(self, params):","return ParameterizedIndividual.from_individual(load_pickle(fname)) def __call__(self, *x): return [tree(*x) for tree in self.parameterized_trees] def __len__(self):","return [self.weight, self.bias] def __call__(self, *x): return self.underlying_tree(*x) * self.weight + self.bias def","trees should not be mutated\") def in_order(self): yield self if hasattr(self.underlying_tree, \"children\"): for","parameterized_trees @staticmethod def from_individual(ind): return ParameterizedIndividual( parameterized_trees=[ParameterizedTree(tree) for tree in ind.trees] ) @staticmethod","*x): return [tree(*x) for tree in self.parameterized_trees] def __len__(self): return sum(len(tree) for tree","+= child.display(prefix=\" \" + prefix) return res def _set_dirty(self): raise Exception(\"Parameterized trees should","if init_fct is None: self.set_params([1, 0]) else: self.set_params(init_fct()) def set_params(self, params): self.weight, self.bias","not be mutated\") def in_order(self): yield self if hasattr(self.underlying_tree, \"children\"): for child in","class ParameterizedIndividual: def __init__(self, parameterized_trees): self.parameterized_trees = parameterized_trees @staticmethod def from_individual(ind): return ParameterizedIndividual(","ParameterizedTree(underlying_tree=child, _copy=False) for child in underlying_tree.children ] self.underlying_tree = underlying_tree if init_fct is","tree in self.parameterized_trees] def __len__(self): return sum(len(tree) for tree in self.parameterized_trees) def set_flat_parameters(self,","= self.underlying_tree.name + \" * {} + {}\".format( self.weight, self.bias ) def get_params(self):","self if hasattr(self.underlying_tree, \"children\"): for child in self.underlying_tree.children: for node in child.in_order(): yield","import copy import numpy as np from racer.utils import load_pickle from racer.methods.genetic_programming.program_tree import","None: self.set_params([1, 0]) else: self.set_params(init_fct()) def set_params(self, params): self.weight, self.bias = params self.name","params self.name = self.underlying_tree.name + \" * {} + {}\".format( self.weight, self.bias )","{} + {}\".format( self.weight, self.bias ) def get_params(self): return [self.weight, self.bias] def __call__(self,","def display(self, prefix): res = prefix + self.name + \"\\n\" if hasattr(self.underlying_tree, \"children\"):","+ prefix) return res def _set_dirty(self): raise Exception(\"Parameterized trees should not be mutated\")","and that the underlying tree has the field .name def __init__(self, underlying_tree, init_fct=None,","import ProgramTree class ParameterizedTree(ProgramTree): # This makes the assumption that all children of","for node in tree.in_order(): node.set_params(list(params[n_used : n_used + 2])) n_used += 2 def","\"children\"): for child in self.underlying_tree.children: for node in child.in_order(): yield node class ParameterizedIndividual:","for tree in self.parameterized_trees) def set_flat_parameters(self, params): n_used = 0 for tree in","underlying_tree if init_fct is None: self.set_params([1, 0]) else: self.set_params(init_fct()) def set_params(self, params): self.weight,","self.set_params(init_fct()) def set_params(self, params): self.weight, self.bias = params self.name = self.underlying_tree.name + \"","def from_individual(ind): return ParameterizedIndividual( parameterized_trees=[ParameterizedTree(tree) for tree in ind.trees] ) @staticmethod def from_pickled_individual(fname):","is None: self.set_params([1, 0]) else: self.set_params(init_fct()) def set_params(self, params): self.weight, self.bias = params","@staticmethod def from_individual(ind): return ParameterizedIndividual( parameterized_trees=[ParameterizedTree(tree) for tree in ind.trees] ) @staticmethod def","self.weight + self.bias def __len__(self): return len(self.underlying_tree) def display(self, prefix): res = prefix","\"children\"): underlying_tree.children = [ ParameterizedTree(underlying_tree=child, _copy=False) for child in underlying_tree.children ] self.underlying_tree =","[] for tree in self.parameterized_trees: for node in tree.in_order(): params += node.get_params() return","ParameterizedIndividual( parameterized_trees=[ParameterizedTree(tree) for tree in ind.trees] ) @staticmethod def from_pickled_individual(fname): return ParameterizedIndividual.from_individual(load_pickle(fname)) def","params): self.weight, self.bias = params self.name = self.underlying_tree.name + \" * {} +","node in tree.in_order(): node.set_params(list(params[n_used : n_used + 2])) n_used += 2 def get_flat_parameters(self):","prefix): res = prefix + self.name + \"\\n\" if hasattr(self.underlying_tree, \"children\"): for child","child in self.underlying_tree.children: for node in child.in_order(): yield node class ParameterizedIndividual: def __init__(self,","for child in self.underlying_tree.children: res += child.display(prefix=\" \" + prefix) return res def","= copy.deepcopy(underlying_tree) # safety first if hasattr(underlying_tree, \"children\"): underlying_tree.children = [ ParameterizedTree(underlying_tree=child, _copy=False)","numpy as np from racer.utils import load_pickle from racer.methods.genetic_programming.program_tree import ProgramTree class ParameterizedTree(ProgramTree):","in child.in_order(): yield node class ParameterizedIndividual: def __init__(self, parameterized_trees): self.parameterized_trees = parameterized_trees @staticmethod","2 def get_flat_parameters(self): params = [] for tree in self.parameterized_trees: for node in","* self.weight + self.bias def __len__(self): return len(self.underlying_tree) def display(self, prefix): res =","that the underlying tree has the field .name def __init__(self, underlying_tree, init_fct=None, _copy=True):","the field .name def __init__(self, underlying_tree, init_fct=None, _copy=True): if _copy: underlying_tree = copy.deepcopy(underlying_tree)","for tree in ind.trees] ) @staticmethod def from_pickled_individual(fname): return ParameterizedIndividual.from_individual(load_pickle(fname)) def __call__(self, *x):","copy import numpy as np from racer.utils import load_pickle from racer.methods.genetic_programming.program_tree import ProgramTree","for tree in self.parameterized_trees: for node in tree.in_order(): node.set_params(list(params[n_used : n_used + 2]))","mutated\") def in_order(self): yield self if hasattr(self.underlying_tree, \"children\"): for child in self.underlying_tree.children: for","__init__(self, underlying_tree, init_fct=None, _copy=True): if _copy: underlying_tree = copy.deepcopy(underlying_tree) # safety first if","first if hasattr(underlying_tree, \"children\"): underlying_tree.children = [ ParameterizedTree(underlying_tree=child, _copy=False) for child in underlying_tree.children","child in self.underlying_tree.children: res += child.display(prefix=\" \" + prefix) return res def _set_dirty(self):","from_individual(ind): return ParameterizedIndividual( parameterized_trees=[ParameterizedTree(tree) for tree in ind.trees] ) @staticmethod def from_pickled_individual(fname): return","racer.methods.genetic_programming.program_tree import ProgramTree class ParameterizedTree(ProgramTree): # This makes the assumption that all children","init_fct is None: self.set_params([1, 0]) else: self.set_params(init_fct()) def set_params(self, params): self.weight, self.bias =","self.name + \"\\n\" if hasattr(self.underlying_tree, \"children\"): for child in self.underlying_tree.children: res += child.display(prefix=\"","in tree.in_order(): node.set_params(list(params[n_used : n_used + 2])) n_used += 2 def get_flat_parameters(self): params","2])) n_used += 2 def get_flat_parameters(self): params = [] for tree in self.parameterized_trees:","ind.trees] ) @staticmethod def from_pickled_individual(fname): return ParameterizedIndividual.from_individual(load_pickle(fname)) def __call__(self, *x): return [tree(*x) for","[tree(*x) for tree in self.parameterized_trees] def __len__(self): return sum(len(tree) for tree in self.parameterized_trees)","child in underlying_tree.children ] self.underlying_tree = underlying_tree if init_fct is None: self.set_params([1, 0])","tree has the field .name def __init__(self, underlying_tree, init_fct=None, _copy=True): if _copy: underlying_tree","the assumption that all children of the underlying tree are in a field","yield self if hasattr(self.underlying_tree, \"children\"): for child in self.underlying_tree.children: for node in child.in_order():","be mutated\") def in_order(self): yield self if hasattr(self.underlying_tree, \"children\"): for child in self.underlying_tree.children:","makes the assumption that all children of the underlying tree are in a","import load_pickle from racer.methods.genetic_programming.program_tree import ProgramTree class ParameterizedTree(ProgramTree): # This makes the assumption","res += child.display(prefix=\" \" + prefix) return res def _set_dirty(self): raise Exception(\"Parameterized trees","*x): return self.underlying_tree(*x) * self.weight + self.bias def __len__(self): return len(self.underlying_tree) def display(self,","in self.parameterized_trees: for node in tree.in_order(): node.set_params(list(params[n_used : n_used + 2])) n_used +=","return sum(len(tree) for tree in self.parameterized_trees) def set_flat_parameters(self, params): n_used = 0 for","if _copy: underlying_tree = copy.deepcopy(underlying_tree) # safety first if hasattr(underlying_tree, \"children\"): underlying_tree.children =","_copy=False) for child in underlying_tree.children ] self.underlying_tree = underlying_tree if init_fct is None:","def __len__(self): return sum(len(tree) for tree in self.parameterized_trees) def set_flat_parameters(self, params): n_used =","= params self.name = self.underlying_tree.name + \" * {} + {}\".format( self.weight, self.bias","node class ParameterizedIndividual: def __init__(self, parameterized_trees): self.parameterized_trees = parameterized_trees @staticmethod def from_individual(ind): return","def get_params(self): return [self.weight, self.bias] def __call__(self, *x): return self.underlying_tree(*x) * self.weight +","{}\".format( self.weight, self.bias ) def get_params(self): return [self.weight, self.bias] def __call__(self, *x): return","if hasattr(self.underlying_tree, \"children\"): for child in self.underlying_tree.children: res += child.display(prefix=\" \" + prefix)","# This makes the assumption that all children of the underlying tree are","self.set_params([1, 0]) else: self.set_params(init_fct()) def set_params(self, params): self.weight, self.bias = params self.name =","parameterized_trees): self.parameterized_trees = parameterized_trees @staticmethod def from_individual(ind): return ParameterizedIndividual( parameterized_trees=[ParameterizedTree(tree) for tree in","def __call__(self, *x): return [tree(*x) for tree in self.parameterized_trees] def __len__(self): return sum(len(tree)","self.weight, self.bias = params self.name = self.underlying_tree.name + \" * {} + {}\".format(","field .name def __init__(self, underlying_tree, init_fct=None, _copy=True): if _copy: underlying_tree = copy.deepcopy(underlying_tree) #","underlying_tree.children ] self.underlying_tree = underlying_tree if init_fct is None: self.set_params([1, 0]) else: self.set_params(init_fct())","self.parameterized_trees) def set_flat_parameters(self, params): n_used = 0 for tree in self.parameterized_trees: for node","of the underlying tree are in a field .children and that the underlying","tree.in_order(): node.set_params(list(params[n_used : n_used + 2])) n_used += 2 def get_flat_parameters(self): params =","from_pickled_individual(fname): return ParameterizedIndividual.from_individual(load_pickle(fname)) def __call__(self, *x): return [tree(*x) for tree in self.parameterized_trees] def","= [] for tree in self.parameterized_trees: for node in tree.in_order(): params += node.get_params()","__call__(self, *x): return [tree(*x) for tree in self.parameterized_trees] def __len__(self): return sum(len(tree) for","for tree in self.parameterized_trees] def __len__(self): return sum(len(tree) for tree in self.parameterized_trees) def","underlying_tree.children = [ ParameterizedTree(underlying_tree=child, _copy=False) for child in underlying_tree.children ] self.underlying_tree = underlying_tree","* {} + {}\".format( self.weight, self.bias ) def get_params(self): return [self.weight, self.bias] def","are in a field .children and that the underlying tree has the field","assumption that all children of the underlying tree are in a field .children","tree are in a field .children and that the underlying tree has the","underlying tree has the field .name def __init__(self, underlying_tree, init_fct=None, _copy=True): if _copy:","+ {}\".format( self.weight, self.bias ) def get_params(self): return [self.weight, self.bias] def __call__(self, *x):","in self.underlying_tree.children: for node in child.in_order(): yield node class ParameterizedIndividual: def __init__(self, parameterized_trees):","res = prefix + self.name + \"\\n\" if hasattr(self.underlying_tree, \"children\"): for child in","n_used + 2])) n_used += 2 def get_flat_parameters(self): params = [] for tree","self.parameterized_trees] def __len__(self): return sum(len(tree) for tree in self.parameterized_trees) def set_flat_parameters(self, params): n_used","+ 2])) n_used += 2 def get_flat_parameters(self): params = [] for tree in","node.set_params(list(params[n_used : n_used + 2])) n_used += 2 def get_flat_parameters(self): params = []","def __init__(self, parameterized_trees): self.parameterized_trees = parameterized_trees @staticmethod def from_individual(ind): return ParameterizedIndividual( parameterized_trees=[ParameterizedTree(tree) for","+ \"\\n\" if hasattr(self.underlying_tree, \"children\"): for child in self.underlying_tree.children: res += child.display(prefix=\" \"","self.underlying_tree(*x) * self.weight + self.bias def __len__(self): return len(self.underlying_tree) def display(self, prefix): res","ProgramTree class ParameterizedTree(ProgramTree): # This makes the assumption that all children of the","\" * {} + {}\".format( self.weight, self.bias ) def get_params(self): return [self.weight, self.bias]","that all children of the underlying tree are in a field .children and","child.in_order(): yield node class ParameterizedIndividual: def __init__(self, parameterized_trees): self.parameterized_trees = parameterized_trees @staticmethod def","__len__(self): return len(self.underlying_tree) def display(self, prefix): res = prefix + self.name + \"\\n\"","self.parameterized_trees = parameterized_trees @staticmethod def from_individual(ind): return ParameterizedIndividual( parameterized_trees=[ParameterizedTree(tree) for tree in ind.trees]","np from racer.utils import load_pickle from racer.methods.genetic_programming.program_tree import ProgramTree class ParameterizedTree(ProgramTree): # This",".name def __init__(self, underlying_tree, init_fct=None, _copy=True): if _copy: underlying_tree = copy.deepcopy(underlying_tree) # safety","self.bias = params self.name = self.underlying_tree.name + \" * {} + {}\".format( self.weight,","def __init__(self, underlying_tree, init_fct=None, _copy=True): if _copy: underlying_tree = copy.deepcopy(underlying_tree) # safety first","field .children and that the underlying tree has the field .name def __init__(self,","hasattr(self.underlying_tree, \"children\"): for child in self.underlying_tree.children: for node in child.in_order(): yield node class","__call__(self, *x): return self.underlying_tree(*x) * self.weight + self.bias def __len__(self): return len(self.underlying_tree) def","def set_params(self, params): self.weight, self.bias = params self.name = self.underlying_tree.name + \" *","from racer.utils import load_pickle from racer.methods.genetic_programming.program_tree import ProgramTree class ParameterizedTree(ProgramTree): # This makes","tree in self.parameterized_trees: for node in tree.in_order(): node.set_params(list(params[n_used : n_used + 2])) n_used","This makes the assumption that all children of the underlying tree are in","params = [] for tree in self.parameterized_trees: for node in tree.in_order(): params +=","ParameterizedTree(ProgramTree): # This makes the assumption that all children of the underlying tree","prefix + self.name + \"\\n\" if hasattr(self.underlying_tree, \"children\"): for child in self.underlying_tree.children: res","for child in underlying_tree.children ] self.underlying_tree = underlying_tree if init_fct is None: self.set_params([1,","def from_pickled_individual(fname): return ParameterizedIndividual.from_individual(load_pickle(fname)) def __call__(self, *x): return [tree(*x) for tree in self.parameterized_trees]","def get_flat_parameters(self): params = [] for tree in self.parameterized_trees: for node in tree.in_order():","n_used += 2 def get_flat_parameters(self): params = [] for tree in self.parameterized_trees: for","ParameterizedIndividual: def __init__(self, parameterized_trees): self.parameterized_trees = parameterized_trees @staticmethod def from_individual(ind): return ParameterizedIndividual( parameterized_trees=[ParameterizedTree(tree)"],"string":"[\n \"display(self, prefix): res = prefix + self.name + \\\"\\\\n\\\" if hasattr(self.underlying_tree, \\\"children\\\"): for\",\n \"return self.underlying_tree(*x) * self.weight + self.bias def __len__(self): return len(self.underlying_tree) def display(self, prefix):\",\n \"tree in ind.trees] ) @staticmethod def from_pickled_individual(fname): return ParameterizedIndividual.from_individual(load_pickle(fname)) def __call__(self, *x): return\",\n \"underlying_tree, init_fct=None, _copy=True): if _copy: underlying_tree = copy.deepcopy(underlying_tree) # safety first if hasattr(underlying_tree,\",\n \"@staticmethod def from_pickled_individual(fname): return ParameterizedIndividual.from_individual(load_pickle(fname)) def __call__(self, *x): return [tree(*x) for tree in\",\n \"__len__(self): return sum(len(tree) for tree in self.parameterized_trees) def set_flat_parameters(self, params): n_used = 0\",\n \"def __len__(self): return len(self.underlying_tree) def display(self, prefix): res = prefix + self.name +\",\n \"__init__(self, parameterized_trees): self.parameterized_trees = parameterized_trees @staticmethod def from_individual(ind): return ParameterizedIndividual( parameterized_trees=[ParameterizedTree(tree) for tree\",\n \"from racer.methods.genetic_programming.program_tree import ProgramTree class ParameterizedTree(ProgramTree): # This makes the assumption that all\",\n \"return ParameterizedIndividual( parameterized_trees=[ParameterizedTree(tree) for tree in ind.trees] ) @staticmethod def from_pickled_individual(fname): return ParameterizedIndividual.from_individual(load_pickle(fname))\",\n \"set_params(self, params): self.weight, self.bias = params self.name = self.underlying_tree.name + \\\" * {}\",\n \"in self.parameterized_trees) def set_flat_parameters(self, params): n_used = 0 for tree in self.parameterized_trees: for\",\n \"+= 2 def get_flat_parameters(self): params = [] for tree in self.parameterized_trees: for node\",\n \"sum(len(tree) for tree in self.parameterized_trees) def set_flat_parameters(self, params): n_used = 0 for tree\",\n \"if hasattr(underlying_tree, \\\"children\\\"): underlying_tree.children = [ ParameterizedTree(underlying_tree=child, _copy=False) for child in underlying_tree.children ]\",\n \"+ self.bias def __len__(self): return len(self.underlying_tree) def display(self, prefix): res = prefix +\",\n \"yield node class ParameterizedIndividual: def __init__(self, parameterized_trees): self.parameterized_trees = parameterized_trees @staticmethod def from_individual(ind):\",\n \"has the field .name def __init__(self, underlying_tree, init_fct=None, _copy=True): if _copy: underlying_tree =\",\n \"self.underlying_tree.name + \\\" * {} + {}\\\".format( self.weight, self.bias ) def get_params(self): return\",\n \"= prefix + self.name + \\\"\\\\n\\\" if hasattr(self.underlying_tree, \\\"children\\\"): for child in self.underlying_tree.children:\",\n \"= parameterized_trees @staticmethod def from_individual(ind): return ParameterizedIndividual( parameterized_trees=[ParameterizedTree(tree) for tree in ind.trees] )\",\n \"in a field .children and that the underlying tree has the field .name\",\n \"0]) else: self.set_params(init_fct()) def set_params(self, params): self.weight, self.bias = params self.name = self.underlying_tree.name\",\n \"hasattr(underlying_tree, \\\"children\\\"): underlying_tree.children = [ ParameterizedTree(underlying_tree=child, _copy=False) for child in underlying_tree.children ] self.underlying_tree\",\n \"def __call__(self, *x): return self.underlying_tree(*x) * self.weight + self.bias def __len__(self): return len(self.underlying_tree)\",\n \"for child in self.underlying_tree.children: for node in child.in_order(): yield node class ParameterizedIndividual: def\",\n \"self.weight, self.bias ) def get_params(self): return [self.weight, self.bias] def __call__(self, *x): return self.underlying_tree(*x)\",\n \"return [tree(*x) for tree in self.parameterized_trees] def __len__(self): return sum(len(tree) for tree in\",\n \"the underlying tree has the field .name def __init__(self, underlying_tree, init_fct=None, _copy=True): if\",\n \"parameterized_trees=[ParameterizedTree(tree) for tree in ind.trees] ) @staticmethod def from_pickled_individual(fname): return ParameterizedIndividual.from_individual(load_pickle(fname)) def __call__(self,\",\n \"in ind.trees] ) @staticmethod def from_pickled_individual(fname): return ParameterizedIndividual.from_individual(load_pickle(fname)) def __call__(self, *x): return [tree(*x)\",\n \"params): n_used = 0 for tree in self.parameterized_trees: for node in tree.in_order(): node.set_params(list(params[n_used\",\n \"self.bias ) def get_params(self): return [self.weight, self.bias] def __call__(self, *x): return self.underlying_tree(*x) *\",\n \"in self.underlying_tree.children: res += child.display(prefix=\\\" \\\" + prefix) return res def _set_dirty(self): raise\",\n \"ParameterizedIndividual.from_individual(load_pickle(fname)) def __call__(self, *x): return [tree(*x) for tree in self.parameterized_trees] def __len__(self): return\",\n \"for tree in self.parameterized_trees: for node in tree.in_order(): params += node.get_params() return np.array(params)\",\n \".children and that the underlying tree has the field .name def __init__(self, underlying_tree,\",\n \"load_pickle from racer.methods.genetic_programming.program_tree import ProgramTree class ParameterizedTree(ProgramTree): # This makes the assumption that\",\n \"get_flat_parameters(self): params = [] for tree in self.parameterized_trees: for node in tree.in_order(): params\",\n \"\\\" + prefix) return res def _set_dirty(self): raise Exception(\\\"Parameterized trees should not be\",\n \"return len(self.underlying_tree) def display(self, prefix): res = prefix + self.name + \\\"\\\\n\\\" if\",\n \"\\\"children\\\"): for child in self.underlying_tree.children: res += child.display(prefix=\\\" \\\" + prefix) return res\",\n \"\\\"\\\\n\\\" if hasattr(self.underlying_tree, \\\"children\\\"): for child in self.underlying_tree.children: res += child.display(prefix=\\\" \\\" +\",\n \"self.underlying_tree.children: for node in child.in_order(): yield node class ParameterizedIndividual: def __init__(self, parameterized_trees): self.parameterized_trees\",\n \"in underlying_tree.children ] self.underlying_tree = underlying_tree if init_fct is None: self.set_params([1, 0]) else:\",\n \"len(self.underlying_tree) def display(self, prefix): res = prefix + self.name + \\\"\\\\n\\\" if hasattr(self.underlying_tree,\",\n \"# safety first if hasattr(underlying_tree, \\\"children\\\"): underlying_tree.children = [ ParameterizedTree(underlying_tree=child, _copy=False) for child\",\n \"in_order(self): yield self if hasattr(self.underlying_tree, \\\"children\\\"): for child in self.underlying_tree.children: for node in\",\n \"node in child.in_order(): yield node class ParameterizedIndividual: def __init__(self, parameterized_trees): self.parameterized_trees = parameterized_trees\",\n \"<filename>racer/methods/genetic_programming/parameterized.py<gh_stars>1-10 import copy import numpy as np from racer.utils import load_pickle from racer.methods.genetic_programming.program_tree\",\n \"self.underlying_tree = underlying_tree if init_fct is None: self.set_params([1, 0]) else: self.set_params(init_fct()) def set_params(self,\",\n \"class ParameterizedTree(ProgramTree): # This makes the assumption that all children of the underlying\",\n \"import numpy as np from racer.utils import load_pickle from racer.methods.genetic_programming.program_tree import ProgramTree class\",\n \"def in_order(self): yield self if hasattr(self.underlying_tree, \\\"children\\\"): for child in self.underlying_tree.children: for node\",\n \"= 0 for tree in self.parameterized_trees: for node in tree.in_order(): node.set_params(list(params[n_used : n_used\",\n \"raise Exception(\\\"Parameterized trees should not be mutated\\\") def in_order(self): yield self if hasattr(self.underlying_tree,\",\n \"for node in child.in_order(): yield node class ParameterizedIndividual: def __init__(self, parameterized_trees): self.parameterized_trees =\",\n \"self.parameterized_trees: for node in tree.in_order(): node.set_params(list(params[n_used : n_used + 2])) n_used += 2\",\n \"res def _set_dirty(self): raise Exception(\\\"Parameterized trees should not be mutated\\\") def in_order(self): yield\",\n \"underlying tree are in a field .children and that the underlying tree has\",\n \"0 for tree in self.parameterized_trees: for node in tree.in_order(): node.set_params(list(params[n_used : n_used +\",\n \"= [ ParameterizedTree(underlying_tree=child, _copy=False) for child in underlying_tree.children ] self.underlying_tree = underlying_tree if\",\n \"] self.underlying_tree = underlying_tree if init_fct is None: self.set_params([1, 0]) else: self.set_params(init_fct()) def\",\n \"underlying_tree = copy.deepcopy(underlying_tree) # safety first if hasattr(underlying_tree, \\\"children\\\"): underlying_tree.children = [ ParameterizedTree(underlying_tree=child,\",\n \"set_flat_parameters(self, params): n_used = 0 for tree in self.parameterized_trees: for node in tree.in_order():\",\n \"all children of the underlying tree are in a field .children and that\",\n \"child.display(prefix=\\\" \\\" + prefix) return res def _set_dirty(self): raise Exception(\\\"Parameterized trees should not\",\n \"copy.deepcopy(underlying_tree) # safety first if hasattr(underlying_tree, \\\"children\\\"): underlying_tree.children = [ ParameterizedTree(underlying_tree=child, _copy=False) for\",\n \"_set_dirty(self): raise Exception(\\\"Parameterized trees should not be mutated\\\") def in_order(self): yield self if\",\n \"racer.utils import load_pickle from racer.methods.genetic_programming.program_tree import ProgramTree class ParameterizedTree(ProgramTree): # This makes the\",\n \"_copy=True): if _copy: underlying_tree = copy.deepcopy(underlying_tree) # safety first if hasattr(underlying_tree, \\\"children\\\"): underlying_tree.children\",\n \"a field .children and that the underlying tree has the field .name def\",\n \"return res def _set_dirty(self): raise Exception(\\\"Parameterized trees should not be mutated\\\") def in_order(self):\",\n \"def set_flat_parameters(self, params): n_used = 0 for tree in self.parameterized_trees: for node in\",\n \": n_used + 2])) n_used += 2 def get_flat_parameters(self): params = [] for\",\n \"+ \\\" * {} + {}\\\".format( self.weight, self.bias ) def get_params(self): return [self.weight,\",\n \"= underlying_tree if init_fct is None: self.set_params([1, 0]) else: self.set_params(init_fct()) def set_params(self, params):\",\n \") @staticmethod def from_pickled_individual(fname): return ParameterizedIndividual.from_individual(load_pickle(fname)) def __call__(self, *x): return [tree(*x) for tree\",\n \"self.underlying_tree.children: res += child.display(prefix=\\\" \\\" + prefix) return res def _set_dirty(self): raise Exception(\\\"Parameterized\",\n \"hasattr(self.underlying_tree, \\\"children\\\"): for child in self.underlying_tree.children: res += child.display(prefix=\\\" \\\" + prefix) return\",\n \"children of the underlying tree are in a field .children and that the\",\n \"should not be mutated\\\") def in_order(self): yield self if hasattr(self.underlying_tree, \\\"children\\\"): for child\",\n \"def _set_dirty(self): raise Exception(\\\"Parameterized trees should not be mutated\\\") def in_order(self): yield self\",\n \"the underlying tree are in a field .children and that the underlying tree\",\n \"+ self.name + \\\"\\\\n\\\" if hasattr(self.underlying_tree, \\\"children\\\"): for child in self.underlying_tree.children: res +=\",\n \"init_fct=None, _copy=True): if _copy: underlying_tree = copy.deepcopy(underlying_tree) # safety first if hasattr(underlying_tree, \\\"children\\\"):\",\n \"else: self.set_params(init_fct()) def set_params(self, params): self.weight, self.bias = params self.name = self.underlying_tree.name +\",\n \"safety first if hasattr(underlying_tree, \\\"children\\\"): underlying_tree.children = [ ParameterizedTree(underlying_tree=child, _copy=False) for child in\",\n \"n_used = 0 for tree in self.parameterized_trees: for node in tree.in_order(): node.set_params(list(params[n_used :\",\n \"[ ParameterizedTree(underlying_tree=child, _copy=False) for child in underlying_tree.children ] self.underlying_tree = underlying_tree if init_fct\",\n \"prefix) return res def _set_dirty(self): raise Exception(\\\"Parameterized trees should not be mutated\\\") def\",\n \"get_params(self): return [self.weight, self.bias] def __call__(self, *x): return self.underlying_tree(*x) * self.weight + self.bias\",\n \") def get_params(self): return [self.weight, self.bias] def __call__(self, *x): return self.underlying_tree(*x) * self.weight\",\n \"self.bias] def __call__(self, *x): return self.underlying_tree(*x) * self.weight + self.bias def __len__(self): return\",\n \"_copy: underlying_tree = copy.deepcopy(underlying_tree) # safety first if hasattr(underlying_tree, \\\"children\\\"): underlying_tree.children = [\",\n \"tree in self.parameterized_trees) def set_flat_parameters(self, params): n_used = 0 for tree in self.parameterized_trees:\",\n \"self.bias def __len__(self): return len(self.underlying_tree) def display(self, prefix): res = prefix + self.name\",\n \"self.name = self.underlying_tree.name + \\\" * {} + {}\\\".format( self.weight, self.bias ) def\",\n \"Exception(\\\"Parameterized trees should not be mutated\\\") def in_order(self): yield self if hasattr(self.underlying_tree, \\\"children\\\"):\",\n \"if hasattr(self.underlying_tree, \\\"children\\\"): for child in self.underlying_tree.children: for node in child.in_order(): yield node\",\n \"as np from racer.utils import load_pickle from racer.methods.genetic_programming.program_tree import ProgramTree class ParameterizedTree(ProgramTree): #\",\n \"[self.weight, self.bias] def __call__(self, *x): return self.underlying_tree(*x) * self.weight + self.bias def __len__(self):\",\n \"in self.parameterized_trees] def __len__(self): return sum(len(tree) for tree in self.parameterized_trees) def set_flat_parameters(self, params):\",\n \"return ParameterizedIndividual.from_individual(load_pickle(fname)) def __call__(self, *x): return [tree(*x) for tree in self.parameterized_trees] def __len__(self):\",\n \"return [self.weight, self.bias] def __call__(self, *x): return self.underlying_tree(*x) * self.weight + self.bias def\",\n \"trees should not be mutated\\\") def in_order(self): yield self if hasattr(self.underlying_tree, \\\"children\\\"): for\",\n \"parameterized_trees @staticmethod def from_individual(ind): return ParameterizedIndividual( parameterized_trees=[ParameterizedTree(tree) for tree in ind.trees] ) @staticmethod\",\n \"*x): return [tree(*x) for tree in self.parameterized_trees] def __len__(self): return sum(len(tree) for tree\",\n \"+= child.display(prefix=\\\" \\\" + prefix) return res def _set_dirty(self): raise Exception(\\\"Parameterized trees should\",\n \"if init_fct is None: self.set_params([1, 0]) else: self.set_params(init_fct()) def set_params(self, params): self.weight, self.bias\",\n \"not be mutated\\\") def in_order(self): yield self if hasattr(self.underlying_tree, \\\"children\\\"): for child in\",\n \"class ParameterizedIndividual: def __init__(self, parameterized_trees): self.parameterized_trees = parameterized_trees @staticmethod def from_individual(ind): return ParameterizedIndividual(\",\n \"ParameterizedTree(underlying_tree=child, _copy=False) for child in underlying_tree.children ] self.underlying_tree = underlying_tree if init_fct is\",\n \"tree in self.parameterized_trees] def __len__(self): return sum(len(tree) for tree in self.parameterized_trees) def set_flat_parameters(self,\",\n \"= self.underlying_tree.name + \\\" * {} + {}\\\".format( self.weight, self.bias ) def get_params(self):\",\n \"self if hasattr(self.underlying_tree, \\\"children\\\"): for child in self.underlying_tree.children: for node in child.in_order(): yield\",\n \"import copy import numpy as np from racer.utils import load_pickle from racer.methods.genetic_programming.program_tree import\",\n \"None: self.set_params([1, 0]) else: self.set_params(init_fct()) def set_params(self, params): self.weight, self.bias = params self.name\",\n \"params self.name = self.underlying_tree.name + \\\" * {} + {}\\\".format( self.weight, self.bias )\",\n \"{} + {}\\\".format( self.weight, self.bias ) def get_params(self): return [self.weight, self.bias] def __call__(self,\",\n \"def display(self, prefix): res = prefix + self.name + \\\"\\\\n\\\" if hasattr(self.underlying_tree, \\\"children\\\"):\",\n \"+ prefix) return res def _set_dirty(self): raise Exception(\\\"Parameterized trees should not be mutated\\\")\",\n \"and that the underlying tree has the field .name def __init__(self, underlying_tree, init_fct=None,\",\n \"import ProgramTree class ParameterizedTree(ProgramTree): # This makes the assumption that all children of\",\n \"for node in tree.in_order(): node.set_params(list(params[n_used : n_used + 2])) n_used += 2 def\",\n \"\\\"children\\\"): for child in self.underlying_tree.children: for node in child.in_order(): yield node class ParameterizedIndividual:\",\n \"for tree in self.parameterized_trees) def set_flat_parameters(self, params): n_used = 0 for tree in\",\n \"underlying_tree if init_fct is None: self.set_params([1, 0]) else: self.set_params(init_fct()) def set_params(self, params): self.weight,\",\n \"self.set_params(init_fct()) def set_params(self, params): self.weight, self.bias = params self.name = self.underlying_tree.name + \\\"\",\n \"def from_individual(ind): return ParameterizedIndividual( parameterized_trees=[ParameterizedTree(tree) for tree in ind.trees] ) @staticmethod def from_pickled_individual(fname):\",\n \"is None: self.set_params([1, 0]) else: self.set_params(init_fct()) def set_params(self, params): self.weight, self.bias = params\",\n \"@staticmethod def from_individual(ind): return ParameterizedIndividual( parameterized_trees=[ParameterizedTree(tree) for tree in ind.trees] ) @staticmethod def\",\n \"self.weight + self.bias def __len__(self): return len(self.underlying_tree) def display(self, prefix): res = prefix\",\n \"\\\"children\\\"): underlying_tree.children = [ ParameterizedTree(underlying_tree=child, _copy=False) for child in underlying_tree.children ] self.underlying_tree =\",\n \"[] for tree in self.parameterized_trees: for node in tree.in_order(): params += node.get_params() return\",\n \"ParameterizedIndividual( parameterized_trees=[ParameterizedTree(tree) for tree in ind.trees] ) @staticmethod def from_pickled_individual(fname): return ParameterizedIndividual.from_individual(load_pickle(fname)) def\",\n \"params): self.weight, self.bias = params self.name = self.underlying_tree.name + \\\" * {} +\",\n \"node in tree.in_order(): node.set_params(list(params[n_used : n_used + 2])) n_used += 2 def get_flat_parameters(self):\",\n \"prefix): res = prefix + self.name + \\\"\\\\n\\\" if hasattr(self.underlying_tree, \\\"children\\\"): for child\",\n \"child in self.underlying_tree.children: for node in child.in_order(): yield node class ParameterizedIndividual: def __init__(self,\",\n \"for child in self.underlying_tree.children: res += child.display(prefix=\\\" \\\" + prefix) return res def\",\n \"= copy.deepcopy(underlying_tree) # safety first if hasattr(underlying_tree, \\\"children\\\"): underlying_tree.children = [ ParameterizedTree(underlying_tree=child, _copy=False)\",\n \"numpy as np from racer.utils import load_pickle from racer.methods.genetic_programming.program_tree import ProgramTree class ParameterizedTree(ProgramTree):\",\n \"in child.in_order(): yield node class ParameterizedIndividual: def __init__(self, parameterized_trees): self.parameterized_trees = parameterized_trees @staticmethod\",\n \"2 def get_flat_parameters(self): params = [] for tree in self.parameterized_trees: for node in\",\n \"* self.weight + self.bias def __len__(self): return len(self.underlying_tree) def display(self, prefix): res =\",\n \"that the underlying tree has the field .name def __init__(self, underlying_tree, init_fct=None, _copy=True):\",\n \"the field .name def __init__(self, underlying_tree, init_fct=None, _copy=True): if _copy: underlying_tree = copy.deepcopy(underlying_tree)\",\n \"for tree in ind.trees] ) @staticmethod def from_pickled_individual(fname): return ParameterizedIndividual.from_individual(load_pickle(fname)) def __call__(self, *x):\",\n \"copy import numpy as np from racer.utils import load_pickle from racer.methods.genetic_programming.program_tree import ProgramTree\",\n \"for tree in self.parameterized_trees: for node in tree.in_order(): node.set_params(list(params[n_used : n_used + 2]))\",\n \"mutated\\\") def in_order(self): yield self if hasattr(self.underlying_tree, \\\"children\\\"): for child in self.underlying_tree.children: for\",\n \"__init__(self, underlying_tree, init_fct=None, _copy=True): if _copy: underlying_tree = copy.deepcopy(underlying_tree) # safety first if\",\n \"first if hasattr(underlying_tree, \\\"children\\\"): underlying_tree.children = [ ParameterizedTree(underlying_tree=child, _copy=False) for child in underlying_tree.children\",\n \"child in self.underlying_tree.children: res += child.display(prefix=\\\" \\\" + prefix) return res def _set_dirty(self):\",\n \"from_individual(ind): return ParameterizedIndividual( parameterized_trees=[ParameterizedTree(tree) for tree in ind.trees] ) @staticmethod def from_pickled_individual(fname): return\",\n \"racer.methods.genetic_programming.program_tree import ProgramTree class ParameterizedTree(ProgramTree): # This makes the assumption that all children\",\n \"init_fct is None: self.set_params([1, 0]) else: self.set_params(init_fct()) def set_params(self, params): self.weight, self.bias =\",\n \"self.name + \\\"\\\\n\\\" if hasattr(self.underlying_tree, \\\"children\\\"): for child in self.underlying_tree.children: res += child.display(prefix=\\\"\",\n \"in tree.in_order(): node.set_params(list(params[n_used : n_used + 2])) n_used += 2 def get_flat_parameters(self): params\",\n \"2])) n_used += 2 def get_flat_parameters(self): params = [] for tree in self.parameterized_trees:\",\n \"ind.trees] ) @staticmethod def from_pickled_individual(fname): return ParameterizedIndividual.from_individual(load_pickle(fname)) def __call__(self, *x): return [tree(*x) for\",\n \"[tree(*x) for tree in self.parameterized_trees] def __len__(self): return sum(len(tree) for tree in self.parameterized_trees)\",\n \"child in underlying_tree.children ] self.underlying_tree = underlying_tree if init_fct is None: self.set_params([1, 0])\",\n \"tree has the field .name def __init__(self, underlying_tree, init_fct=None, _copy=True): if _copy: underlying_tree\",\n \"the assumption that all children of the underlying tree are in a field\",\n \"yield self if hasattr(self.underlying_tree, \\\"children\\\"): for child in self.underlying_tree.children: for node in child.in_order():\",\n \"be mutated\\\") def in_order(self): yield self if hasattr(self.underlying_tree, \\\"children\\\"): for child in self.underlying_tree.children:\",\n \"makes the assumption that all children of the underlying tree are in a\",\n \"import load_pickle from racer.methods.genetic_programming.program_tree import ProgramTree class ParameterizedTree(ProgramTree): # This makes the assumption\",\n \"res += child.display(prefix=\\\" \\\" + prefix) return res def _set_dirty(self): raise Exception(\\\"Parameterized trees\",\n \"*x): return self.underlying_tree(*x) * self.weight + self.bias def __len__(self): return len(self.underlying_tree) def display(self,\",\n \"in self.parameterized_trees: for node in tree.in_order(): node.set_params(list(params[n_used : n_used + 2])) n_used +=\",\n \"return sum(len(tree) for tree in self.parameterized_trees) def set_flat_parameters(self, params): n_used = 0 for\",\n \"if _copy: underlying_tree = copy.deepcopy(underlying_tree) # safety first if hasattr(underlying_tree, \\\"children\\\"): underlying_tree.children =\",\n \"_copy=False) for child in underlying_tree.children ] self.underlying_tree = underlying_tree if init_fct is None:\",\n \"def __len__(self): return sum(len(tree) for tree in self.parameterized_trees) def set_flat_parameters(self, params): n_used =\",\n \"= params self.name = self.underlying_tree.name + \\\" * {} + {}\\\".format( self.weight, self.bias\",\n \"node class ParameterizedIndividual: def __init__(self, parameterized_trees): self.parameterized_trees = parameterized_trees @staticmethod def from_individual(ind): return\",\n \"def get_params(self): return [self.weight, self.bias] def __call__(self, *x): return self.underlying_tree(*x) * self.weight +\",\n \"{}\\\".format( self.weight, self.bias ) def get_params(self): return [self.weight, self.bias] def __call__(self, *x): return\",\n \"if hasattr(self.underlying_tree, \\\"children\\\"): for child in self.underlying_tree.children: res += child.display(prefix=\\\" \\\" + prefix)\",\n \"# This makes the assumption that all children of the underlying tree are\",\n \"self.set_params([1, 0]) else: self.set_params(init_fct()) def set_params(self, params): self.weight, self.bias = params self.name =\",\n \"parameterized_trees): self.parameterized_trees = parameterized_trees @staticmethod def from_individual(ind): return ParameterizedIndividual( parameterized_trees=[ParameterizedTree(tree) for tree in\",\n \"def __call__(self, *x): return [tree(*x) for tree in self.parameterized_trees] def __len__(self): return sum(len(tree)\",\n \"self.weight, self.bias = params self.name = self.underlying_tree.name + \\\" * {} + {}\\\".format(\",\n \"field .name def __init__(self, underlying_tree, init_fct=None, _copy=True): if _copy: underlying_tree = copy.deepcopy(underlying_tree) #\",\n \"underlying_tree.children ] self.underlying_tree = underlying_tree if init_fct is None: self.set_params([1, 0]) else: self.set_params(init_fct())\",\n \"self.parameterized_trees) def set_flat_parameters(self, params): n_used = 0 for tree in self.parameterized_trees: for node\",\n \"of the underlying tree are in a field .children and that the underlying\",\n \"tree.in_order(): node.set_params(list(params[n_used : n_used + 2])) n_used += 2 def get_flat_parameters(self): params =\",\n \"from_pickled_individual(fname): return ParameterizedIndividual.from_individual(load_pickle(fname)) def __call__(self, *x): return [tree(*x) for tree in self.parameterized_trees] def\",\n \"= [] for tree in self.parameterized_trees: for node in tree.in_order(): params += node.get_params()\",\n \"__call__(self, *x): return [tree(*x) for tree in self.parameterized_trees] def __len__(self): return sum(len(tree) for\",\n \"for tree in self.parameterized_trees] def __len__(self): return sum(len(tree) for tree in self.parameterized_trees) def\",\n \"underlying_tree.children = [ ParameterizedTree(underlying_tree=child, _copy=False) for child in underlying_tree.children ] self.underlying_tree = underlying_tree\",\n \"* {} + {}\\\".format( self.weight, self.bias ) def get_params(self): return [self.weight, self.bias] def\",\n \"are in a field .children and that the underlying tree has the field\",\n \"assumption that all children of the underlying tree are in a field .children\",\n \"tree are in a field .children and that the underlying tree has the\",\n \"underlying tree has the field .name def __init__(self, underlying_tree, init_fct=None, _copy=True): if _copy:\",\n \"+ {}\\\".format( self.weight, self.bias ) def get_params(self): return [self.weight, self.bias] def __call__(self, *x):\",\n \"in self.underlying_tree.children: for node in child.in_order(): yield node class ParameterizedIndividual: def __init__(self, parameterized_trees):\",\n \"res = prefix + self.name + \\\"\\\\n\\\" if hasattr(self.underlying_tree, \\\"children\\\"): for child in\",\n \"n_used + 2])) n_used += 2 def get_flat_parameters(self): params = [] for tree\",\n \"self.parameterized_trees] def __len__(self): return sum(len(tree) for tree in self.parameterized_trees) def set_flat_parameters(self, params): n_used\",\n \"+ 2])) n_used += 2 def get_flat_parameters(self): params = [] for tree in\",\n \"node.set_params(list(params[n_used : n_used + 2])) n_used += 2 def get_flat_parameters(self): params = []\",\n \"def __init__(self, parameterized_trees): self.parameterized_trees = parameterized_trees @staticmethod def from_individual(ind): return ParameterizedIndividual( parameterized_trees=[ParameterizedTree(tree) for\",\n \"+ \\\"\\\\n\\\" if hasattr(self.underlying_tree, \\\"children\\\"): for child in self.underlying_tree.children: res += child.display(prefix=\\\" \\\"\",\n \"self.underlying_tree(*x) * self.weight + self.bias def __len__(self): return len(self.underlying_tree) def display(self, prefix): res\",\n \"ProgramTree class ParameterizedTree(ProgramTree): # This makes the assumption that all children of the\",\n \"\\\" * {} + {}\\\".format( self.weight, self.bias ) def get_params(self): return [self.weight, self.bias]\",\n \"that all children of the underlying tree are in a field .children and\",\n \"child.in_order(): yield node class ParameterizedIndividual: def __init__(self, parameterized_trees): self.parameterized_trees = parameterized_trees @staticmethod def\",\n \"__len__(self): return len(self.underlying_tree) def display(self, prefix): res = prefix + self.name + \\\"\\\\n\\\"\",\n \"self.parameterized_trees = parameterized_trees @staticmethod def from_individual(ind): return ParameterizedIndividual( parameterized_trees=[ParameterizedTree(tree) for tree in ind.trees]\",\n \"np from racer.utils import load_pickle from racer.methods.genetic_programming.program_tree import ProgramTree class ParameterizedTree(ProgramTree): # This\",\n \".name def __init__(self, underlying_tree, init_fct=None, _copy=True): if _copy: underlying_tree = copy.deepcopy(underlying_tree) # safety\",\n \"self.bias = params self.name = self.underlying_tree.name + \\\" * {} + {}\\\".format( self.weight,\",\n \"def __init__(self, underlying_tree, init_fct=None, _copy=True): if _copy: underlying_tree = copy.deepcopy(underlying_tree) # safety first\",\n \"field .children and that the underlying tree has the field .name def __init__(self,\",\n \"hasattr(self.underlying_tree, \\\"children\\\"): for child in self.underlying_tree.children: for node in child.in_order(): yield node class\",\n \"__call__(self, *x): return self.underlying_tree(*x) * self.weight + self.bias def __len__(self): return len(self.underlying_tree) def\",\n \"def set_params(self, params): self.weight, self.bias = params self.name = self.underlying_tree.name + \\\" *\",\n \"from racer.utils import load_pickle from racer.methods.genetic_programming.program_tree import ProgramTree class ParameterizedTree(ProgramTree): # This makes\",\n \"tree in self.parameterized_trees: for node in tree.in_order(): node.set_params(list(params[n_used : n_used + 2])) n_used\",\n \"This makes the assumption that all children of the underlying tree are in\",\n \"params = [] for tree in self.parameterized_trees: for node in tree.in_order(): params +=\",\n \"ParameterizedTree(ProgramTree): # This makes the assumption that all children of the underlying tree\",\n \"prefix + self.name + \\\"\\\\n\\\" if hasattr(self.underlying_tree, \\\"children\\\"): for child in self.underlying_tree.children: res\",\n \"for child in underlying_tree.children ] self.underlying_tree = underlying_tree if init_fct is None: self.set_params([1,\",\n \"def from_pickled_individual(fname): return ParameterizedIndividual.from_individual(load_pickle(fname)) def __call__(self, *x): return [tree(*x) for tree in self.parameterized_trees]\",\n \"def get_flat_parameters(self): params = [] for tree in self.parameterized_trees: for node in tree.in_order():\",\n \"n_used += 2 def get_flat_parameters(self): params = [] for tree in self.parameterized_trees: for\",\n \"ParameterizedIndividual: def __init__(self, parameterized_trees): self.parameterized_trees = parameterized_trees @staticmethod def from_individual(ind): return ParameterizedIndividual( parameterized_trees=[ParameterizedTree(tree)\"\n]","isConversational":false}}},{"rowIdx":1281,"cells":{"ngram":{"kind":"list like","value":["'next' in request.args: next = request.args['next'] form = LoginForm(request.form) # make sure data","email or password', 'danger') return render_template(\"login.html\", form=form, next=next) @mod.route('/logout/', methods=['GET', 'POST']) @requires_login def","session can't be modified as it's signed, # it's a safe place to","process_thread_paginator(trending=trending) return render_template('home.html', atom_url=atom_url, page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator) @mod.route('/.atom') @mod.route('/.xml') @mod.route('/.rss') def atom_redirect(): return","session['user_id'] = user.id if 'next' in request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home'))","place before logging in \"\"\" if g.user: return redirect(url_for('frontends.home')) next = '' if","= subreddit.threads if subreddit else Thread.query # Filter by user subs logger.info(g.user) if","return redirect(url_for('frontends.home')) return render_template(\"register.html\", form=form, next=next) @mod.route('/subs/', methods=['GET', 'POST']) def view_all(): \"\"\" \"\"\"","return subreddits def process_thread_paginator(trending=False, rs=None, subreddit=None, sort_type='hot'): \"\"\" abstracted because many sources pull","from base.users.forms import RegisterForm, LoginForm from base.users.models import User from base.threads.models import Thread,","of code :) base_query = subreddit.threads if subreddit else Thread.query # Filter by","== 'publication_date': base_query = base_query.join(Publication).order_by(db.desc(Publication.pub_date)) thread_paginator = base_query.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator @mod.route('/')","if g.user: if request.form: form = subreddit_subs(request.form) if form.validate_on_submit(): form_subs = form.data.get('subs') form_subs","logger from base import db, app from base import search as search_module #","\"Trending\" if trending else \"Frontpage\" thread_paginator = process_thread_paginator(trending=trending) return render_template('home.html', atom_url=atom_url, page_title=page_title, cur_subreddit=home_subreddit(),","defaults \"\"\" if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subreddits = Subreddit.query.filter(Subreddit.name.in_(subreddit_subs)) else: # Default","f: content = f.read() md = markdown2.markdown(content, extras = ['fenced-code-blocks', 'nofollow', 'target-blank-links', 'toc',","user.id flash('Thanks for signing up! Please confirm your email by following the link","if we are passing in a resultset, that means we are just looking","base.users.models import User from base.threads.models import Thread, Publication from base.subreddits.models import Subreddit from","university=get_school(form.email.data), email_token=random_string()) # Insert the record in our database and commit it db.session.add(user)","thread_paginator = process_thread_paginator(trending=trending) return render_template('home.html', atom_url=atom_url, page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator) @mod.route('/.atom') @mod.route('/.xml') @mod.route('/.rss') def","listing source (subreddit permalink, homepage, etc) \"\"\" threads_per_page = 15 cur_page = request.args.get('page')","as search_module # don't override function name from base.users.forms import RegisterForm, LoginForm from","\"Frontpage\" thread_paginator = process_thread_paginator(trending=trending) return render_template('home.html', atom_url=atom_url, page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator) @mod.route('/.atom') @mod.route('/.xml') @mod.route('/.rss')","rs.all() num_searches = rs.count() subreddits = get_subreddits() return render_template('home.html', page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator, num_searches=num_searches)","base_query = base_query.order_by(db.desc(Thread.n_comments)) elif sort_type == 'new': base_query = base_query.order_by(db.desc(Thread.created_on)) elif sort_type ==","= User.query.filter_by(email_token=token).first() if user.email_token == token: user.email_verified = True db.session.commit() flash(\"Thank you for","user.email_verified = True db.session.commit() flash(\"Thank you for confirming your email! You can now","sform.sub_group = subreddit.group if g.user: sform.value=subreddit.name in g.user.subreddit_subs['subs'] form.subs.append_entry(sform) return render_template('subreddits/subs.html', cur_subreddit=None, page_title='subs',","_external=True) trending = True if request.path.endswith('trending') else False page_title = \"Trending\" if trending","upvote.pub email\", \"\"\"Please visit the link below to confirm your email:\\n\\n{}{}\"\"\".format(request.url_root.strip(\"/\"), email_confirm_link), user.email)","render_template(\"login.html\", form=form, next=next) @mod.route('/logout/', methods=['GET', 'POST']) @requires_login def logout(): session.pop('user_id', None) return redirect(url_for('frontends.home'))","return redirect(url_for('frontends.home')) @mod.route('/register/', methods=['GET', 'POST']) def register(): \"\"\" Registration page \"\"\" if g.user:","user instance not yet stored in the database user = User(username=form.username.data, email=form.email.data, \\","else False page_title = \"Trending\" if trending else \"Frontpage\" thread_paginator = process_thread_paginator(trending=trending) return","passing in a resultset, that means we are just looking to # quickly","@mod.route('/') def home(sort_type='hot'): \"\"\" If not trending we order by creation date \"\"\"","for subreddit in subreddit_list: sform = sub_form() sform.sub_name = subreddit.name sform.sub_group = subreddit.group","= \"Trending\" if trending else \"Frontpage\" thread_paginator = process_thread_paginator(trending=trending) return render_template('home.html', atom_url=atom_url, page_title=page_title,","if trending else \"Frontpage\" thread_paginator = process_thread_paginator(trending=trending) return render_template('home.html', atom_url=atom_url, page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator)","render_template('markdown.html', page=md, **md.metadata) @mod.route('/search/', methods=['GET']) def search(): \"\"\" Allows users to search threads","{'subs': form_subs} flash(\"Updated Subs\", 'success') db.session.commit() else: form = subreddit_subs() for subreddit in","form.validate_on_submit(): # create an user instance not yet stored in the database user","You can now submit and comment.\", 'success') return redirect(url_for('frontends.home')) @mod.route('/register/', methods=['GET', 'POST']) def","trending = True if request.path.endswith('trending') else False page_title = \"Trending\" if trending else","= Subreddit.query.all() form = None if g.user: if request.form: form = subreddit_subs(request.form) if","(subreddit permalink, homepage, etc) \"\"\" threads_per_page = 15 cur_page = request.args.get('page') or 1","check_password_hash(user.password, form.password.data): # the session can't be modified as it's signed, # it's","in subreddit_list: sform = sub_form() sform.sub_name = subreddit.name sform.sub_group = subreddit.group if g.user:","route the user back to his or her original place before logging in","and check_password_hash(user.password, form.password.data): # the session can't be modified as it's signed, #","if g.user: subreddit_subs = g.user.subreddit_subs.get('subs') base_query = base_query.join(Subreddit).filter(Subreddit.name.in_(subreddit_subs)) # Sorting if sort_type ==","= LoginForm(request.form) # make sure data is valid, but doesn't validate password is","following the link sent in the confirmation email.', 'success') if 'next' in request.form","= g.user.subreddit_subs.get('subs') subreddits = Subreddit.query.filter(Subreddit.name.in_(subreddit_subs)) else: # Default set of subreddits subreddits =","search(): \"\"\" Allows users to search threads and comments \"\"\" query = request.args.get('query')","we use werzeug to validate user's password if user and check_password_hash(user.password, form.password.data): #","results for '{query}'\" rs = search_module.search(query, orderby='creation', search_title=True, search_text=True) thread_paginator = process_thread_paginator(rs=rs) #rs","markdown2.markdown(content, extras = ['fenced-code-blocks', 'nofollow', 'target-blank-links', 'toc', 'tables', 'footnotes', 'metadata', 'markdown-in-html']) return render_template('markdown.html',","None) return redirect(url_for('frontends.home')) @mod.route('/confirm-email/<string:token>') def confirm_email(token): \"\"\" Confirm user email \"\"\" user =","url_for('subreddits.atom_feed', subreddit_name='frontpage', _external=True) trending = True if request.path.endswith('trending') else False page_title = \"Trending\"","date \"\"\" atom_url = url_for('subreddits.atom_feed', subreddit_name='frontpage', _external=True) trending = True if request.path.endswith('trending') else","if g.user: # If the user is logged in send them home return","signing up! Please confirm your email by following the link sent in the","if user.email_token == token: user.email_verified = True db.session.commit() flash(\"Thank you for confirming your","\"\"\" If not trending we order by creation date \"\"\" atom_url = url_for('subreddits.atom_feed',","__name__, url_prefix='') @mod.before_request def before_request(): g.user = None if session.get('user_id'): g.user = User.query.get(session['user_id'])","render_template('home.html', atom_url=atom_url, page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator) @mod.route('/.atom') @mod.route('/.xml') @mod.route('/.rss') def atom_redirect(): return redirect(url_for(\"subreddits.atom_feed\", subreddit_name=\"frontpage\"))","base_query = base_query.order_by(db.desc(Thread.votes)) elif sort_type == 'comments': base_query = base_query.order_by(db.desc(Thread.n_comments)) elif sort_type ==","\"\"\" \"\"\" import os import markdown2 from flask import (Blueprint, request, render_template, flash,","sorting if rs: thread_paginator = rs.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator # sexy line","= send_email(\"Confirm upvote.pub email\", \"\"\"Please visit the link below to confirm your email:\\n\\n{}{}\"\"\".format(request.url_root.strip(\"/\"),","password is right if form.validate_on_submit(): # continue where we left off if so","= User.query.get(session['user_id']) def home_subreddit(): logger.info(g.user) if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subs = Thread.query.order_by(db.desc(Thread.hotness),","= rs.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator # sexy line of code :) base_query","your email:\\n\\n{}{}\"\"\".format(request.url_root.strip(\"/\"), email_confirm_link), user.email) # Log the user in, as he now has","= user.id if 'next' in request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) flash('Wrong","# create an user instance not yet stored in the database user =","redirect(request.form['next']) return redirect(url_for('frontends.home')) return render_template(\"register.html\", form=form, next=next) @mod.route('/subs/', methods=['GET', 'POST']) def view_all(): \"\"\"","LoginForm from base.users.models import User from base.threads.models import Thread, Publication from base.subreddits.models import","get_subreddits(): \"\"\" Fetch user subreddits otherwise fetch a list of defaults \"\"\" if","error_out=True) return thread_paginator @mod.route('/') def home(sort_type='hot'): \"\"\" If not trending we order by","import Thread, Publication from base.subreddits.models import Subreddit from base.users.decorators import requires_login from base.utils.user_utils","redirect, url_for, abort, Markup) from werkzeug import check_password_hash, generate_password_hash from logzero import logger","= form.data.get('subs') form_subs = list(set([x['sub_name'] for x in form_subs if x['value']])) g.user.subreddit_subs =","confirm your email by following the link sent in the confirmation email.', 'success')","in \"\"\" if g.user: return redirect(url_for('frontends.home')) next = '' if request.method == 'GET':","below to confirm your email:\\n\\n{}{}\"\"\".format(request.url_root.strip(\"/\"), email_confirm_link), user.email) # Log the user in, as","render_markdown(page): page_md = f\"base/markdown/{page}.md\" if not os.path.exists(page_md): abort(404) with open(page_md, 'r') as f:","g.user: return redirect(url_for('frontends.home')) next = '' if request.method == 'GET': if 'next' in","Log the user in, as he now has an id db.session.commit() session['user_id'] =","base_query = subreddit.threads if subreddit else Thread.query # Filter by user subs logger.info(g.user)","rs.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator # sexy line of code :) base_query =","base_query.order_by(db.desc(Thread.hotness)) elif sort_type == 'top': base_query = base_query.order_by(db.desc(Thread.votes)) elif sort_type == 'comments': base_query","\"\"\" Confirm user email \"\"\" user = User.query.filter_by(email_token=token).first() if user.email_token == token: user.email_verified","db.session.commit() else: form = subreddit_subs() for subreddit in subreddit_list: sform = sub_form() sform.sub_name","'tables', 'footnotes', 'metadata', 'markdown-in-html']) return render_template('markdown.html', page=md, **md.metadata) @mod.route('/search/', methods=['GET']) def search(): \"\"\"","submit and comment.\", 'success') return redirect(url_for('frontends.home')) @mod.route('/register/', methods=['GET', 'POST']) def register(): \"\"\" Registration","just looking to # quickly paginate some arbitrary data, no sorting if rs:","to store the user id session['user_id'] = user.id if 'next' in request.form and","RegisterForm(request.form) if form.validate_on_submit(): # create an user instance not yet stored in the","form = RegisterForm(request.form) if form.validate_on_submit(): # create an user instance not yet stored","it's a safe place to store the user id session['user_id'] = user.id if","by user subs logger.info(g.user) if g.user: subreddit_subs = g.user.subreddit_subs.get('subs') base_query = base_query.join(Subreddit).filter(Subreddit.name.in_(subreddit_subs)) #","g.user.subreddit_subs.get('subs') base_query = base_query.join(Subreddit).filter(Subreddit.name.in_(subreddit_subs)) # Sorting if sort_type == 'hot': base_query = base_query.order_by(db.desc(Thread.hotness))","db.desc(Thread.hotness)) return subs def get_subreddits(): \"\"\" Fetch user subreddits otherwise fetch a list","logger.info(g.user) if g.user: subreddit_subs = g.user.subreddit_subs.get('subs') base_query = base_query.join(Subreddit).filter(Subreddit.name.in_(subreddit_subs)) # Sorting if sort_type","**md.metadata) @mod.route('/search/', methods=['GET']) def search(): \"\"\" Allows users to search threads and comments","g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subreddits = Subreddit.query.filter(Subreddit.name.in_(subreddit_subs)) else: # Default set of subreddits","Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) \\ .filter(Subreddit.name.in_(subreddit_subs)) else: subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) return subs def get_subreddits():","request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) flash('Wrong email or password', 'danger') return render_template(\"login.html\", form=form,","login(): \"\"\" We had to do some extra work to route the user","no sorting if rs: thread_paginator = rs.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator # sexy","from base import db, app from base import search as search_module # don't","in request.args: next = request.args['next'] form = LoginForm(request.form) # make sure data is","confirming your email! You can now submit and comment.\", 'success') return redirect(url_for('frontends.home')) @mod.route('/register/',","for confirming your email! You can now submit and comment.\", 'success') return redirect(url_for('frontends.home'))","'next' in request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) flash('Wrong email or password',","search_module.search(query, orderby='creation', search_title=True, search_text=True) thread_paginator = process_thread_paginator(rs=rs) #rs = rs.all() num_searches = rs.count()","session.pop('user_id', None) return redirect(url_for('frontends.home')) @mod.route('/confirm-email/<string:token>') def confirm_email(token): \"\"\" Confirm user email \"\"\" user","render_template('home.html', page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator, num_searches=num_searches) @mod.route('/login/', methods=['GET', 'POST']) def login(): \"\"\" We had","15 cur_page = request.args.get('page') or 1 cur_page = int(cur_page) thread_paginator = None #","if user and check_password_hash(user.password, form.password.data): # the session can't be modified as it's","error_out=True) return thread_paginator # sexy line of code :) base_query = subreddit.threads if","return redirect(request.form['next']) return redirect(url_for('frontends.home')) return render_template(\"register.html\", form=form, next=next) @mod.route('/subs/', methods=['GET', 'POST']) def view_all():","import search as search_module # don't override function name from base.users.forms import RegisterForm,","Registration page \"\"\" if g.user: # If the user is logged in send","\"\"\" if g.user: return redirect(url_for('frontends.home')) next = '' if request.method == 'GET': if","base_query.join(Subreddit).filter(Subreddit.name.in_(subreddit_subs)) # Sorting if sort_type == 'hot': base_query = base_query.order_by(db.desc(Thread.hotness)) elif sort_type ==","a list of defaults \"\"\" if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subreddits = Subreddit.query.filter(Subreddit.name.in_(subreddit_subs))","can't be modified as it's signed, # it's a safe place to store","sform = sub_form() sform.sub_name = subreddit.name sform.sub_group = subreddit.group if g.user: sform.value=subreddit.name in","your email by following the link sent in the confirmation email.', 'success') if","override function name from base.users.forms import RegisterForm, LoginForm from base.users.models import User from","to confirm your email:\\n\\n{}{}\"\"\".format(request.url_root.strip(\"/\"), email_confirm_link), user.email) # Log the user in, as he","def atom_redirect(): return redirect(url_for(\"subreddits.atom_feed\", subreddit_name=\"frontpage\")) @mod.route('/h/<string:page>') def render_markdown(page): page_md = f\"base/markdown/{page}.md\" if not","\"\"\" threads_per_page = 15 cur_page = request.args.get('page') or 1 cur_page = int(cur_page) thread_paginator","subreddits def process_thread_paginator(trending=False, rs=None, subreddit=None, sort_type='hot'): \"\"\" abstracted because many sources pull from","confirmation email.', 'success') if 'next' in request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home'))","#rs = rs.all() num_searches = rs.count() subreddits = get_subreddits() return render_template('home.html', page_title=page_title, cur_subreddit=home_subreddit(),","next = request.args['next'] form = LoginForm(request.form) # make sure data is valid, but","subreddit in subreddit_list: sform = sub_form() sform.sub_name = subreddit.name sform.sub_group = subreddit.group if","'success') return redirect(url_for('frontends.home')) @mod.route('/register/', methods=['GET', 'POST']) def register(): \"\"\" Registration page \"\"\" if","password', 'danger') return render_template(\"login.html\", form=form, next=next) @mod.route('/logout/', methods=['GET', 'POST']) @requires_login def logout(): session.pop('user_id',","elif sort_type == 'publication_date': base_query = base_query.join(Publication).order_by(db.desc(Publication.pub_date)) thread_paginator = base_query.paginate(cur_page, per_page=threads_per_page, error_out=True) return","subreddits otherwise fetch a list of defaults \"\"\" if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs')","session.get('user_id'): g.user = User.query.get(session['user_id']) def home_subreddit(): logger.info(g.user) if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subs","home return redirect(url_for('frontends.home')) next = '' if request.method == 'GET': if 'next' in","random_string, validate_sort_type mod = Blueprint('frontends', __name__, url_prefix='') @mod.before_request def before_request(): g.user = None","= ['fenced-code-blocks', 'nofollow', 'target-blank-links', 'toc', 'tables', 'footnotes', 'metadata', 'markdown-in-html']) return render_template('markdown.html', page=md, **md.metadata)","True if request.path.endswith('trending') else False page_title = \"Trending\" if trending else \"Frontpage\" thread_paginator","user back to his or her original place before logging in \"\"\" if","valid, but doesn't validate password is right if form.validate_on_submit(): # continue where we","\"\"\" if g.user: # If the user is logged in send them home","= Blueprint('frontends', __name__, url_prefix='') @mod.before_request def before_request(): g.user = None if session.get('user_id'): g.user","sort_type == 'top': base_query = base_query.order_by(db.desc(Thread.votes)) elif sort_type == 'comments': base_query = base_query.order_by(db.desc(Thread.n_comments))","make sure data is valid, but doesn't validate password is right if form.validate_on_submit():","to his or her original place before logging in \"\"\" if g.user: return","def login(): \"\"\" We had to do some extra work to route the","import send_email from base.utils.misc import random_string, validate_sort_type mod = Blueprint('frontends', __name__, url_prefix='') @mod.before_request","if 'next' in request.args: next = request.args['next'] form = LoginForm(request.form) # make sure","= Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) return subs def get_subreddits(): \"\"\" Fetch user subreddits otherwise fetch","User.query.get(session['user_id']) def home_subreddit(): logger.info(g.user) if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness))","@mod.route('/search/', methods=['GET']) def search(): \"\"\" Allows users to search threads and comments \"\"\"","'danger') return render_template(\"login.html\", form=form, next=next) @mod.route('/logout/', methods=['GET', 'POST']) @requires_login def logout(): session.pop('user_id', None)","import os import markdown2 from flask import (Blueprint, request, render_template, flash, g, session,","else: # Default set of subreddits subreddits = Subreddit.query.all() return subreddits def process_thread_paginator(trending=False,","it's signed, # it's a safe place to store the user id session['user_id']","right if form.validate_on_submit(): # continue where we left off if so user =","in request.args: next = request.args['next'] form = RegisterForm(request.form) if form.validate_on_submit(): # create an","base_query = base_query.order_by(db.desc(Thread.created_on)) elif sort_type == 'publication_date': base_query = base_query.join(Publication).order_by(db.desc(Publication.pub_date)) thread_paginator = base_query.paginate(cur_page,","'publication_date': base_query = base_query.join(Publication).order_by(db.desc(Publication.pub_date)) thread_paginator = base_query.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator @mod.route('/') def","comments \"\"\" query = request.args.get('query') page_title=f\"Search results for '{query}'\" rs = search_module.search(query, orderby='creation',","return redirect(request.form['next']) return redirect(url_for('frontends.home')) flash('Wrong email or password', 'danger') return render_template(\"login.html\", form=form, next=next)","from base.utils.user_utils import get_school from base.subreddits.forms import subreddit_subs, sub_form from base.utils.email import send_email","thread_paginator # sexy line of code :) base_query = subreddit.threads if subreddit else","if not os.path.exists(page_md): abort(404) with open(page_md, 'r') as f: content = f.read() md","if 'next' in request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) flash('Wrong email or","num_searches = rs.count() subreddits = get_subreddits() return render_template('home.html', page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator, num_searches=num_searches) @mod.route('/login/',","'POST']) def login(): \"\"\" We had to do some extra work to route","data is valid, but doesn't validate password is right if form.validate_on_submit(): # continue","work to route the user back to his or her original place before","base import search as search_module # don't override function name from base.users.forms import","password if user and check_password_hash(user.password, form.password.data): # the session can't be modified as","import check_password_hash, generate_password_hash from logzero import logger from base import db, app from","if g.user: return redirect(url_for('frontends.home')) next = '' if request.method == 'GET': if 'next'","request.path.endswith('trending') else False page_title = \"Trending\" if trending else \"Frontpage\" thread_paginator = process_thread_paginator(trending=trending)","send_email(\"Confirm upvote.pub email\", \"\"\"Please visit the link below to confirm your email:\\n\\n{}{}\"\"\".format(request.url_root.strip(\"/\"), email_confirm_link),","code :) base_query = subreddit.threads if subreddit else Thread.query # Filter by user","redirect(url_for(\"subreddits.atom_feed\", subreddit_name=\"frontpage\")) @mod.route('/h/<string:page>') def render_markdown(page): page_md = f\"base/markdown/{page}.md\" if not os.path.exists(page_md): abort(404) with","atom_redirect(): return redirect(url_for(\"subreddits.atom_feed\", subreddit_name=\"frontpage\")) @mod.route('/h/<string:page>') def render_markdown(page): page_md = f\"base/markdown/{page}.md\" if not os.path.exists(page_md):","next = '' if request.method == 'GET': if 'next' in request.args: next =","from a thread listing source (subreddit permalink, homepage, etc) \"\"\" threads_per_page = 15","'POST']) @requires_login def logout(): session.pop('user_id', None) return redirect(url_for('frontends.home')) @mod.route('/confirm-email/<string:token>') def confirm_email(token): \"\"\" Confirm","by following the link sent in the confirmation email.', 'success') if 'next' in","before logging in \"\"\" if g.user: return redirect(url_for('frontends.home')) next = '' if request.method","return redirect(url_for('frontends.home')) flash('Wrong email or password', 'danger') return render_template(\"login.html\", form=form, next=next) @mod.route('/logout/', methods=['GET',","open(page_md, 'r') as f: content = f.read() md = markdown2.markdown(content, extras = ['fenced-code-blocks',","Filter by user subs logger.info(g.user) if g.user: subreddit_subs = g.user.subreddit_subs.get('subs') base_query = base_query.join(Subreddit).filter(Subreddit.name.in_(subreddit_subs))","import requires_login from base.utils.user_utils import get_school from base.subreddits.forms import subreddit_subs, sub_form from base.utils.email","home_subreddit(): logger.info(g.user) if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) \\ .filter(Subreddit.name.in_(subreddit_subs))","check_password_hash, generate_password_hash from logzero import logger from base import db, app from base","= f.read() md = markdown2.markdown(content, extras = ['fenced-code-blocks', 'nofollow', 'target-blank-links', 'toc', 'tables', 'footnotes',","from flask import (Blueprint, request, render_template, flash, g, session, redirect, url_for, abort, Markup)","'footnotes', 'metadata', 'markdown-in-html']) return render_template('markdown.html', page=md, **md.metadata) @mod.route('/search/', methods=['GET']) def search(): \"\"\" Allows","f\"base/markdown/{page}.md\" if not os.path.exists(page_md): abort(404) with open(page_md, 'r') as f: content = f.read()","database user = User(username=form.username.data, email=form.email.data, \\ password=generate_password_hash(form.password.data), university=get_school(form.email.data), email_token=random_string()) # Insert the record","app from base import search as search_module # don't override function name from","or 1 cur_page = int(cur_page) thread_paginator = None # if we are passing","else: form = subreddit_subs() for subreddit in subreddit_list: sform = sub_form() sform.sub_name =","# make sure data is valid, but doesn't validate password is right if","pull from a thread listing source (subreddit permalink, homepage, etc) \"\"\" threads_per_page =","# continue where we left off if so user = User.query.filter_by(email=form.email.data).first() # we","looking to # quickly paginate some arbitrary data, no sorting if rs: thread_paginator","\"\"\" Registration page \"\"\" if g.user: # If the user is logged in","create an user instance not yet stored in the database user = User(username=form.username.data,","Subreddit.query.all() return subreddits def process_thread_paginator(trending=False, rs=None, subreddit=None, sort_type='hot'): \"\"\" abstracted because many sources","= rs.all() num_searches = rs.count() subreddits = get_subreddits() return render_template('home.html', page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator,","request.method == 'GET': if 'next' in request.args: next = request.args['next'] form = LoginForm(request.form)","def render_markdown(page): page_md = f\"base/markdown/{page}.md\" if not os.path.exists(page_md): abort(404) with open(page_md, 'r') as",".filter(Subreddit.name.in_(subreddit_subs)) else: subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) return subs def get_subreddits(): \"\"\" Fetch user","rs: thread_paginator = rs.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator # sexy line of code","line of code :) base_query = subreddit.threads if subreddit else Thread.query # Filter","@mod.route('/.rss') def atom_redirect(): return redirect(url_for(\"subreddits.atom_feed\", subreddit_name=\"frontpage\")) @mod.route('/h/<string:page>') def render_markdown(page): page_md = f\"base/markdown/{page}.md\" if","subreddit_subs = g.user.subreddit_subs.get('subs') subreddits = Subreddit.query.filter(Subreddit.name.in_(subreddit_subs)) else: # Default set of subreddits subreddits","email_response = send_email(\"Confirm upvote.pub email\", \"\"\"Please visit the link below to confirm your","== 'GET': if 'next' in request.args: next = request.args['next'] form = LoginForm(request.form) #","if 'next' in request.args: next = request.args['next'] form = RegisterForm(request.form) if form.validate_on_submit(): #","base.threads.models import Thread, Publication from base.subreddits.models import Subreddit from base.users.decorators import requires_login from","the session can't be modified as it's signed, # it's a safe place","atom_url = url_for('subreddits.atom_feed', subreddit_name='frontpage', _external=True) trending = True if request.path.endswith('trending') else False page_title","redirect(request.form['next']) return redirect(url_for('frontends.home')) flash('Wrong email or password', 'danger') return render_template(\"login.html\", form=form, next=next) @mod.route('/logout/',","his or her original place before logging in \"\"\" if g.user: return redirect(url_for('frontends.home'))","1 cur_page = int(cur_page) thread_paginator = None # if we are passing in","subreddit.name sform.sub_group = subreddit.group if g.user: sform.value=subreddit.name in g.user.subreddit_subs['subs'] form.subs.append_entry(sform) return render_template('subreddits/subs.html', cur_subreddit=None,","an id db.session.commit() session['user_id'] = user.id flash('Thanks for signing up! Please confirm your","# if we are passing in a resultset, that means we are just","in send them home return redirect(url_for('frontends.home')) next = '' if request.method == 'GET':","logged in send them home return redirect(url_for('frontends.home')) next = '' if request.method ==","= f\"base/markdown/{page}.md\" if not os.path.exists(page_md): abort(404) with open(page_md, 'r') as f: content =","\"\"\"Please visit the link below to confirm your email:\\n\\n{}{}\"\"\".format(request.url_root.strip(\"/\"), email_confirm_link), user.email) # Log","from base.subreddits.forms import subreddit_subs, sub_form from base.utils.email import send_email from base.utils.misc import random_string,","we are passing in a resultset, that means we are just looking to","etc) \"\"\" threads_per_page = 15 cur_page = request.args.get('page') or 1 cur_page = int(cur_page)","thread_paginator=thread_paginator) @mod.route('/.atom') @mod.route('/.xml') @mod.route('/.rss') def atom_redirect(): return redirect(url_for(\"subreddits.atom_feed\", subreddit_name=\"frontpage\")) @mod.route('/h/<string:page>') def render_markdown(page): page_md","return redirect(url_for('frontends.home')) next = '' if request.method == 'GET': if 'next' in request.args:","email_confirm_link = url_for('frontends.confirm_email', token = user.email_token) email_response = send_email(\"Confirm upvote.pub email\", \"\"\"Please visit","flask import (Blueprint, request, render_template, flash, g, session, redirect, url_for, abort, Markup) from","validate password is right if form.validate_on_submit(): # continue where we left off if","thread_paginator = rs.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator # sexy line of code :)","render_template, flash, g, session, redirect, url_for, abort, Markup) from werkzeug import check_password_hash, generate_password_hash","logging in \"\"\" if g.user: return redirect(url_for('frontends.home')) next = '' if request.method ==","if form.validate_on_submit(): form_subs = form.data.get('subs') form_subs = list(set([x['sub_name'] for x in form_subs if","your email! You can now submit and comment.\", 'success') return redirect(url_for('frontends.home')) @mod.route('/register/', methods=['GET',","has an id db.session.commit() session['user_id'] = user.id flash('Thanks for signing up! Please confirm","g.user.subreddit_subs = {'subs': form_subs} flash(\"Updated Subs\", 'success') db.session.commit() else: form = subreddit_subs() for","email\", \"\"\"Please visit the link below to confirm your email:\\n\\n{}{}\"\"\".format(request.url_root.strip(\"/\"), email_confirm_link), user.email) #","we order by creation date \"\"\" atom_url = url_for('subreddits.atom_feed', subreddit_name='frontpage', _external=True) trending =","name from base.users.forms import RegisterForm, LoginForm from base.users.models import User from base.threads.models import","Confirm user email \"\"\" user = User.query.filter_by(email_token=token).first() if user.email_token == token: user.email_verified =","f.read() md = markdown2.markdown(content, extras = ['fenced-code-blocks', 'nofollow', 'target-blank-links', 'toc', 'tables', 'footnotes', 'metadata',","user.email_token) email_response = send_email(\"Confirm upvote.pub email\", \"\"\"Please visit the link below to confirm","users to search threads and comments \"\"\" query = request.args.get('query') page_title=f\"Search results for","if subreddit else Thread.query # Filter by user subs logger.info(g.user) if g.user: subreddit_subs","from base.subreddits.models import Subreddit from base.users.decorators import requires_login from base.utils.user_utils import get_school from","to do some extra work to route the user back to his or","If not trending we order by creation date \"\"\" atom_url = url_for('subreddits.atom_feed', subreddit_name='frontpage',","= request.args.get('query') page_title=f\"Search results for '{query}'\" rs = search_module.search(query, orderby='creation', search_title=True, search_text=True) thread_paginator","process_thread_paginator(trending=False, rs=None, subreddit=None, sort_type='hot'): \"\"\" abstracted because many sources pull from a thread","\"\"\" query = request.args.get('query') page_title=f\"Search results for '{query}'\" rs = search_module.search(query, orderby='creation', search_title=True,","email=form.email.data, \\ password=generate_password_hash(form.password.data), university=get_school(form.email.data), email_token=random_string()) # Insert the record in our database and","form_subs = form.data.get('subs') form_subs = list(set([x['sub_name'] for x in form_subs if x['value']])) g.user.subreddit_subs","def search(): \"\"\" Allows users to search threads and comments \"\"\" query =","subreddit_subs(request.form) if form.validate_on_submit(): form_subs = form.data.get('subs') form_subs = list(set([x['sub_name'] for x in form_subs","# Log the user in, as he now has an id db.session.commit() session['user_id']","db.session.commit() session['user_id'] = user.id flash('Thanks for signing up! Please confirm your email by","request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) flash('Wrong email or password', 'danger') return","a safe place to store the user id session['user_id'] = user.id if 'next'","flash('Thanks for signing up! Please confirm your email by following the link sent","can now submit and comment.\", 'success') return redirect(url_for('frontends.home')) @mod.route('/register/', methods=['GET', 'POST']) def register():","'top': base_query = base_query.order_by(db.desc(Thread.votes)) elif sort_type == 'comments': base_query = base_query.order_by(db.desc(Thread.n_comments)) elif sort_type","user in, as he now has an id db.session.commit() session['user_id'] = user.id flash('Thanks","\"\"\" Allows users to search threads and comments \"\"\" query = request.args.get('query') page_title=f\"Search","\"\"\" import os import markdown2 from flask import (Blueprint, request, render_template, flash, g,","thread_paginator=thread_paginator, num_searches=num_searches) @mod.route('/login/', methods=['GET', 'POST']) def login(): \"\"\" We had to do some","yet stored in the database user = User(username=form.username.data, email=form.email.data, \\ password=generate_password_hash(form.password.data), university=get_school(form.email.data), email_token=random_string())","visit the link below to confirm your email:\\n\\n{}{}\"\"\".format(request.url_root.strip(\"/\"), email_confirm_link), user.email) # Log the","subs logger.info(g.user) if g.user: subreddit_subs = g.user.subreddit_subs.get('subs') base_query = base_query.join(Subreddit).filter(Subreddit.name.in_(subreddit_subs)) # Sorting if","g.user: subreddit_subs = g.user.subreddit_subs.get('subs') base_query = base_query.join(Subreddit).filter(Subreddit.name.in_(subreddit_subs)) # Sorting if sort_type == 'hot':","x['value']])) g.user.subreddit_subs = {'subs': form_subs} flash(\"Updated Subs\", 'success') db.session.commit() else: form = subreddit_subs()","return render_template(\"register.html\", form=form, next=next) @mod.route('/subs/', methods=['GET', 'POST']) def view_all(): \"\"\" \"\"\" subreddit_list =","validate_sort_type mod = Blueprint('frontends', __name__, url_prefix='') @mod.before_request def before_request(): g.user = None if","def home_subreddit(): logger.info(g.user) if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) \\","user id session['user_id'] = user.id if 'next' in request.form and request.form['next']: return redirect(request.form['next'])","if form.validate_on_submit(): # create an user instance not yet stored in the database","== 'hot': base_query = base_query.order_by(db.desc(Thread.hotness)) elif sort_type == 'top': base_query = base_query.order_by(db.desc(Thread.votes)) elif","request.form: form = subreddit_subs(request.form) if form.validate_on_submit(): form_subs = form.data.get('subs') form_subs = list(set([x['sub_name'] for","redirect(url_for('frontends.home')) @mod.route('/register/', methods=['GET', 'POST']) def register(): \"\"\" Registration page \"\"\" if g.user: #","requires_login from base.utils.user_utils import get_school from base.subreddits.forms import subreddit_subs, sub_form from base.utils.email import","session['user_id'] = user.id flash('Thanks for signing up! Please confirm your email by following","sform.sub_name = subreddit.name sform.sub_group = subreddit.group if g.user: sform.value=subreddit.name in g.user.subreddit_subs['subs'] form.subs.append_entry(sform) return","user is logged in send them home return redirect(url_for('frontends.home')) next = '' if","'POST']) def view_all(): \"\"\" \"\"\" subreddit_list = Subreddit.query.all() form = None if g.user:","\"\"\" \"\"\" subreddit_list = Subreddit.query.all() form = None if g.user: if request.form: form","return thread_paginator @mod.route('/') def home(sort_type='hot'): \"\"\" If not trending we order by creation","Subs\", 'success') db.session.commit() else: form = subreddit_subs() for subreddit in subreddit_list: sform =","= markdown2.markdown(content, extras = ['fenced-code-blocks', 'nofollow', 'target-blank-links', 'toc', 'tables', 'footnotes', 'metadata', 'markdown-in-html']) return","import markdown2 from flask import (Blueprint, request, render_template, flash, g, session, redirect, url_for,","elif sort_type == 'comments': base_query = base_query.order_by(db.desc(Thread.n_comments)) elif sort_type == 'new': base_query =","'GET': if 'next' in request.args: next = request.args['next'] form = RegisterForm(request.form) if form.validate_on_submit():","request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) return render_template(\"register.html\", form=form, next=next) @mod.route('/subs/', methods=['GET',","@requires_login def logout(): session.pop('user_id', None) return redirect(url_for('frontends.home')) @mod.route('/confirm-email/<string:token>') def confirm_email(token): \"\"\" Confirm user","Fetch user subreddits otherwise fetch a list of defaults \"\"\" if g.get('user'): subreddit_subs","return render_template('home.html', atom_url=atom_url, page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator) @mod.route('/.atom') @mod.route('/.xml') @mod.route('/.rss') def atom_redirect(): return redirect(url_for(\"subreddits.atom_feed\",","= subreddit_subs() for subreddit in subreddit_list: sform = sub_form() sform.sub_name = subreddit.name sform.sub_group","abort(404) with open(page_md, 'r') as f: content = f.read() md = markdown2.markdown(content, extras","sort_type == 'comments': base_query = base_query.order_by(db.desc(Thread.n_comments)) elif sort_type == 'new': base_query = base_query.order_by(db.desc(Thread.created_on))","elif sort_type == 'new': base_query = base_query.order_by(db.desc(Thread.created_on)) elif sort_type == 'publication_date': base_query =","import subreddit_subs, sub_form from base.utils.email import send_email from base.utils.misc import random_string, validate_sort_type mod","creation date \"\"\" atom_url = url_for('subreddits.atom_feed', subreddit_name='frontpage', _external=True) trending = True if request.path.endswith('trending')","g, session, redirect, url_for, abort, Markup) from werkzeug import check_password_hash, generate_password_hash from logzero","g.user = User.query.get(session['user_id']) def home_subreddit(): logger.info(g.user) if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subs =","g.user.subreddit_subs.get('subs') subreddits = Subreddit.query.filter(Subreddit.name.in_(subreddit_subs)) else: # Default set of subreddits subreddits = Subreddit.query.all()","werzeug to validate user's password if user and check_password_hash(user.password, form.password.data): # the session","of defaults \"\"\" if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subreddits = Subreddit.query.filter(Subreddit.name.in_(subreddit_subs)) else: #","if 'next' in request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) return render_template(\"register.html\", form=form,","Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) return subs def get_subreddits(): \"\"\" Fetch user subreddits otherwise fetch a","= True db.session.commit() flash(\"Thank you for confirming your email! You can now submit","abstracted because many sources pull from a thread listing source (subreddit permalink, homepage,","search as search_module # don't override function name from base.users.forms import RegisterForm, LoginForm","her original place before logging in \"\"\" if g.user: return redirect(url_for('frontends.home')) next =","database and commit it db.session.add(user) email_confirm_link = url_for('frontends.confirm_email', token = user.email_token) email_response =","= None # if we are passing in a resultset, that means we","subreddit_list = Subreddit.query.all() form = None if g.user: if request.form: form = subreddit_subs(request.form)","sexy line of code :) base_query = subreddit.threads if subreddit else Thread.query #","we are just looking to # quickly paginate some arbitrary data, no sorting","# Insert the record in our database and commit it db.session.add(user) email_confirm_link =","so user = User.query.filter_by(email=form.email.data).first() # we use werzeug to validate user's password if","now submit and comment.\", 'success') return redirect(url_for('frontends.home')) @mod.route('/register/', methods=['GET', 'POST']) def register(): \"\"\"","next=next) @mod.route('/subs/', methods=['GET', 'POST']) def view_all(): \"\"\" \"\"\" subreddit_list = Subreddit.query.all() form =","return redirect(url_for(\"subreddits.atom_feed\", subreddit_name=\"frontpage\")) @mod.route('/h/<string:page>') def render_markdown(page): page_md = f\"base/markdown/{page}.md\" if not os.path.exists(page_md): abort(404)","from base.users.decorators import requires_login from base.utils.user_utils import get_school from base.subreddits.forms import subreddit_subs, sub_form","signed, # it's a safe place to store the user id session['user_id'] =","\"\"\" abstracted because many sources pull from a thread listing source (subreddit permalink,","\"\"\" atom_url = url_for('subreddits.atom_feed', subreddit_name='frontpage', _external=True) trending = True if request.path.endswith('trending') else False","= Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) \\ .filter(Subreddit.name.in_(subreddit_subs)) else: subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) return subs def","from werkzeug import check_password_hash, generate_password_hash from logzero import logger from base import db,","user.email) # Log the user in, as he now has an id db.session.commit()","Thread, Publication from base.subreddits.models import Subreddit from base.users.decorators import requires_login from base.utils.user_utils import","@mod.route('/register/', methods=['GET', 'POST']) def register(): \"\"\" Registration page \"\"\" if g.user: # If","-*- coding: utf-8 -*- \"\"\" \"\"\" import os import markdown2 from flask import","means we are just looking to # quickly paginate some arbitrary data, no","to validate user's password if user and check_password_hash(user.password, form.password.data): # the session can't","from base.utils.misc import random_string, validate_sort_type mod = Blueprint('frontends', __name__, url_prefix='') @mod.before_request def before_request():","homepage, etc) \"\"\" threads_per_page = 15 cur_page = request.args.get('page') or 1 cur_page =","= 15 cur_page = request.args.get('page') or 1 cur_page = int(cur_page) thread_paginator = None","thread_paginator @mod.route('/') def home(sort_type='hot'): \"\"\" If not trending we order by creation date","subreddit.threads if subreddit else Thread.query # Filter by user subs logger.info(g.user) if g.user:","def logout(): session.pop('user_id', None) return redirect(url_for('frontends.home')) @mod.route('/confirm-email/<string:token>') def confirm_email(token): \"\"\" Confirm user email","for x in form_subs if x['value']])) g.user.subreddit_subs = {'subs': form_subs} flash(\"Updated Subs\", 'success')","flash('Wrong email or password', 'danger') return render_template(\"login.html\", form=form, next=next) @mod.route('/logout/', methods=['GET', 'POST']) @requires_login","request.args.get('page') or 1 cur_page = int(cur_page) thread_paginator = None # if we are","data, no sorting if rs: thread_paginator = rs.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator #","of subreddits subreddits = Subreddit.query.all() return subreddits def process_thread_paginator(trending=False, rs=None, subreddit=None, sort_type='hot'): \"\"\"","list of defaults \"\"\" if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subreddits = Subreddit.query.filter(Subreddit.name.in_(subreddit_subs)) else:","= base_query.join(Subreddit).filter(Subreddit.name.in_(subreddit_subs)) # Sorting if sort_type == 'hot': base_query = base_query.order_by(db.desc(Thread.hotness)) elif sort_type","but doesn't validate password is right if form.validate_on_submit(): # continue where we left","def view_all(): \"\"\" \"\"\" subreddit_list = Subreddit.query.all() form = None if g.user: if","User from base.threads.models import Thread, Publication from base.subreddits.models import Subreddit from base.users.decorators import","subreddit_subs() for subreddit in subreddit_list: sform = sub_form() sform.sub_name = subreddit.name sform.sub_group =","['fenced-code-blocks', 'nofollow', 'target-blank-links', 'toc', 'tables', 'footnotes', 'metadata', 'markdown-in-html']) return render_template('markdown.html', page=md, **md.metadata) @mod.route('/search/',","session, redirect, url_for, abort, Markup) from werkzeug import check_password_hash, generate_password_hash from logzero import","in request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) return render_template(\"register.html\", form=form, next=next) @mod.route('/subs/',","form_subs} flash(\"Updated Subs\", 'success') db.session.commit() else: form = subreddit_subs() for subreddit in subreddit_list:","import User from base.threads.models import Thread, Publication from base.subreddits.models import Subreddit from base.users.decorators","Subreddit from base.users.decorators import requires_login from base.utils.user_utils import get_school from base.subreddits.forms import subreddit_subs,","= user.id flash('Thanks for signing up! Please confirm your email by following the","g.user.subreddit_subs.get('subs') subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) \\ .filter(Subreddit.name.in_(subreddit_subs)) else: subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) return","the user id session['user_id'] = user.id if 'next' in request.form and request.form['next']: return","home(sort_type='hot'): \"\"\" If not trending we order by creation date \"\"\" atom_url =","stored in the database user = User(username=form.username.data, email=form.email.data, \\ password=generate_password_hash(form.password.data), university=get_school(form.email.data), email_token=random_string()) #","import db, app from base import search as search_module # don't override function","email by following the link sent in the confirmation email.', 'success') if 'next'","base_query.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator @mod.route('/') def home(sort_type='hot'): \"\"\" If not trending we","= Subreddit.query.all() return subreddits def process_thread_paginator(trending=False, rs=None, subreddit=None, sort_type='hot'): \"\"\" abstracted because many","subreddits = get_subreddits() return render_template('home.html', page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator, num_searches=num_searches) @mod.route('/login/', methods=['GET', 'POST']) def","if request.form: form = subreddit_subs(request.form) if form.validate_on_submit(): form_subs = form.data.get('subs') form_subs = list(set([x['sub_name']","def register(): \"\"\" Registration page \"\"\" if g.user: # If the user is","or password', 'danger') return render_template(\"login.html\", form=form, next=next) @mod.route('/logout/', methods=['GET', 'POST']) @requires_login def logout():","'nofollow', 'target-blank-links', 'toc', 'tables', 'footnotes', 'metadata', 'markdown-in-html']) return render_template('markdown.html', page=md, **md.metadata) @mod.route('/search/', methods=['GET'])","request, render_template, flash, g, session, redirect, url_for, abort, Markup) from werkzeug import check_password_hash,","base.utils.user_utils import get_school from base.subreddits.forms import subreddit_subs, sub_form from base.utils.email import send_email from","if rs: thread_paginator = rs.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator # sexy line of","form.validate_on_submit(): form_subs = form.data.get('subs') form_subs = list(set([x['sub_name'] for x in form_subs if x['value']]))","db.desc(Thread.hotness)) \\ .filter(Subreddit.name.in_(subreddit_subs)) else: subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) return subs def get_subreddits(): \"\"\"","# don't override function name from base.users.forms import RegisterForm, LoginForm from base.users.models import","from base.utils.email import send_email from base.utils.misc import random_string, validate_sort_type mod = Blueprint('frontends', __name__,","left off if so user = User.query.filter_by(email=form.email.data).first() # we use werzeug to validate","with open(page_md, 'r') as f: content = f.read() md = markdown2.markdown(content, extras =","Sorting if sort_type == 'hot': base_query = base_query.order_by(db.desc(Thread.hotness)) elif sort_type == 'top': base_query","form = subreddit_subs() for subreddit in subreddit_list: sform = sub_form() sform.sub_name = subreddit.name","thread_paginator = base_query.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator @mod.route('/') def home(sort_type='hot'): \"\"\" If not","return render_template('home.html', page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator, num_searches=num_searches) @mod.route('/login/', methods=['GET', 'POST']) def login(): \"\"\" We","safe place to store the user id session['user_id'] = user.id if 'next' in","User.query.filter_by(email_token=token).first() if user.email_token == token: user.email_verified = True db.session.commit() flash(\"Thank you for confirming","import RegisterForm, LoginForm from base.users.models import User from base.threads.models import Thread, Publication from","paginate some arbitrary data, no sorting if rs: thread_paginator = rs.paginate(cur_page, per_page=threads_per_page, error_out=True)","else \"Frontpage\" thread_paginator = process_thread_paginator(trending=trending) return render_template('home.html', atom_url=atom_url, page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator) @mod.route('/.atom') @mod.route('/.xml')","are just looking to # quickly paginate some arbitrary data, no sorting if","render_template(\"register.html\", form=form, next=next) @mod.route('/subs/', methods=['GET', 'POST']) def view_all(): \"\"\" \"\"\" subreddit_list = Subreddit.query.all()","get_subreddits() return render_template('home.html', page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator, num_searches=num_searches) @mod.route('/login/', methods=['GET', 'POST']) def login(): \"\"\"","def confirm_email(token): \"\"\" Confirm user email \"\"\" user = User.query.filter_by(email_token=token).first() if user.email_token ==","We had to do some extra work to route the user back to","None if g.user: if request.form: form = subreddit_subs(request.form) if form.validate_on_submit(): form_subs = form.data.get('subs')","form_subs = list(set([x['sub_name'] for x in form_subs if x['value']])) g.user.subreddit_subs = {'subs': form_subs}","= request.args['next'] form = LoginForm(request.form) # make sure data is valid, but doesn't","instance not yet stored in the database user = User(username=form.username.data, email=form.email.data, \\ password=generate_password_hash(form.password.data),","base.utils.misc import random_string, validate_sort_type mod = Blueprint('frontends', __name__, url_prefix='') @mod.before_request def before_request(): g.user","= True if request.path.endswith('trending') else False page_title = \"Trending\" if trending else \"Frontpage\"","Please confirm your email by following the link sent in the confirmation email.',","subreddit_list: sform = sub_form() sform.sub_name = subreddit.name sform.sub_group = subreddit.group if g.user: sform.value=subreddit.name","def process_thread_paginator(trending=False, rs=None, subreddit=None, sort_type='hot'): \"\"\" abstracted because many sources pull from a","import Subreddit from base.users.decorators import requires_login from base.utils.user_utils import get_school from base.subreddits.forms import","= base_query.order_by(db.desc(Thread.votes)) elif sort_type == 'comments': base_query = base_query.order_by(db.desc(Thread.n_comments)) elif sort_type == 'new':","'POST']) def register(): \"\"\" Registration page \"\"\" if g.user: # If the user","subreddit_subs = g.user.subreddit_subs.get('subs') subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) \\ .filter(Subreddit.name.in_(subreddit_subs)) else: subs = Thread.query.order_by(db.desc(Thread.hotness),","subreddits subreddits = Subreddit.query.all() return subreddits def process_thread_paginator(trending=False, rs=None, subreddit=None, sort_type='hot'): \"\"\" abstracted","as f: content = f.read() md = markdown2.markdown(content, extras = ['fenced-code-blocks', 'nofollow', 'target-blank-links',","g.user: # If the user is logged in send them home return redirect(url_for('frontends.home'))","form.password.data): # the session can't be modified as it's signed, # it's a","\\ password=generate_password_hash(form.password.data), university=get_school(form.email.data), email_token=random_string()) # Insert the record in our database and commit","base.users.forms import RegisterForm, LoginForm from base.users.models import User from base.threads.models import Thread, Publication","int(cur_page) thread_paginator = None # if we are passing in a resultset, that","= RegisterForm(request.form) if form.validate_on_submit(): # create an user instance not yet stored in","it db.session.add(user) email_confirm_link = url_for('frontends.confirm_email', token = user.email_token) email_response = send_email(\"Confirm upvote.pub email\",","set of subreddits subreddits = Subreddit.query.all() return subreddits def process_thread_paginator(trending=False, rs=None, subreddit=None, sort_type='hot'):","= process_thread_paginator(rs=rs) #rs = rs.all() num_searches = rs.count() subreddits = get_subreddits() return render_template('home.html',","return render_template('markdown.html', page=md, **md.metadata) @mod.route('/search/', methods=['GET']) def search(): \"\"\" Allows users to search","rs = search_module.search(query, orderby='creation', search_title=True, search_text=True) thread_paginator = process_thread_paginator(rs=rs) #rs = rs.all() num_searches","# it's a safe place to store the user id session['user_id'] = user.id","= request.args['next'] form = RegisterForm(request.form) if form.validate_on_submit(): # create an user instance not","the user in, as he now has an id db.session.commit() session['user_id'] = user.id","= sub_form() sform.sub_name = subreddit.name sform.sub_group = subreddit.group if g.user: sform.value=subreddit.name in g.user.subreddit_subs['subs']","= rs.count() subreddits = get_subreddits() return render_template('home.html', page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator, num_searches=num_searches) @mod.route('/login/', methods=['GET',","record in our database and commit it db.session.add(user) email_confirm_link = url_for('frontends.confirm_email', token =","def home(sort_type='hot'): \"\"\" If not trending we order by creation date \"\"\" atom_url","process_thread_paginator(rs=rs) #rs = rs.all() num_searches = rs.count() subreddits = get_subreddits() return render_template('home.html', page_title=page_title,","redirect(url_for('frontends.home')) flash('Wrong email or password', 'danger') return render_template(\"login.html\", form=form, next=next) @mod.route('/logout/', methods=['GET', 'POST'])","else Thread.query # Filter by user subs logger.info(g.user) if g.user: subreddit_subs = g.user.subreddit_subs.get('subs')","doesn't validate password is right if form.validate_on_submit(): # continue where we left off","'success') db.session.commit() else: form = subreddit_subs() for subreddit in subreddit_list: sform = sub_form()","continue where we left off if so user = User.query.filter_by(email=form.email.data).first() # we use","form = subreddit_subs(request.form) if form.validate_on_submit(): form_subs = form.data.get('subs') form_subs = list(set([x['sub_name'] for x","subreddit_subs = g.user.subreddit_subs.get('subs') base_query = base_query.join(Subreddit).filter(Subreddit.name.in_(subreddit_subs)) # Sorting if sort_type == 'hot': base_query","per_page=threads_per_page, error_out=True) return thread_paginator @mod.route('/') def home(sort_type='hot'): \"\"\" If not trending we order","= None if session.get('user_id'): g.user = User.query.get(session['user_id']) def home_subreddit(): logger.info(g.user) if g.get('user'): subreddit_subs","otherwise fetch a list of defaults \"\"\" if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subreddits","cur_page = request.args.get('page') or 1 cur_page = int(cur_page) thread_paginator = None # if","= subreddit.name sform.sub_group = subreddit.group if g.user: sform.value=subreddit.name in g.user.subreddit_subs['subs'] form.subs.append_entry(sform) return render_template('subreddits/subs.html',","from base.users.models import User from base.threads.models import Thread, Publication from base.subreddits.models import Subreddit","them home return redirect(url_for('frontends.home')) next = '' if request.method == 'GET': if 'next'","or her original place before logging in \"\"\" if g.user: return redirect(url_for('frontends.home')) next","from logzero import logger from base import db, app from base import search","get_school from base.subreddits.forms import subreddit_subs, sub_form from base.utils.email import send_email from base.utils.misc import","had to do some extra work to route the user back to his","cur_subreddit=home_subreddit(), thread_paginator=thread_paginator) @mod.route('/.atom') @mod.route('/.xml') @mod.route('/.rss') def atom_redirect(): return redirect(url_for(\"subreddits.atom_feed\", subreddit_name=\"frontpage\")) @mod.route('/h/<string:page>') def render_markdown(page):","send_email from base.utils.misc import random_string, validate_sort_type mod = Blueprint('frontends', __name__, url_prefix='') @mod.before_request def","send them home return redirect(url_for('frontends.home')) next = '' if request.method == 'GET': if","= base_query.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator @mod.route('/') def home(sort_type='hot'): \"\"\" If not trending","= {'subs': form_subs} flash(\"Updated Subs\", 'success') db.session.commit() else: form = subreddit_subs() for subreddit","base_query = base_query.join(Publication).order_by(db.desc(Publication.pub_date)) thread_paginator = base_query.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator @mod.route('/') def home(sort_type='hot'):","not os.path.exists(page_md): abort(404) with open(page_md, 'r') as f: content = f.read() md =","= process_thread_paginator(trending=trending) return render_template('home.html', atom_url=atom_url, page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator) @mod.route('/.atom') @mod.route('/.xml') @mod.route('/.rss') def atom_redirect():","request.method == 'GET': if 'next' in request.args: next = request.args['next'] form = RegisterForm(request.form)","sources pull from a thread listing source (subreddit permalink, homepage, etc) \"\"\" threads_per_page","user subreddits otherwise fetch a list of defaults \"\"\" if g.get('user'): subreddit_subs =","by creation date \"\"\" atom_url = url_for('subreddits.atom_feed', subreddit_name='frontpage', _external=True) trending = True if","flash, g, session, redirect, url_for, abort, Markup) from werkzeug import check_password_hash, generate_password_hash from","\\ .filter(Subreddit.name.in_(subreddit_subs)) else: subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) return subs def get_subreddits(): \"\"\" Fetch","'' if request.method == 'GET': if 'next' in request.args: next = request.args['next'] form","request.args: next = request.args['next'] form = LoginForm(request.form) # make sure data is valid,","base_query.order_by(db.desc(Thread.votes)) elif sort_type == 'comments': base_query = base_query.order_by(db.desc(Thread.n_comments)) elif sort_type == 'new': base_query","search threads and comments \"\"\" query = request.args.get('query') page_title=f\"Search results for '{query}'\" rs","\"\"\" We had to do some extra work to route the user back","= base_query.join(Publication).order_by(db.desc(Publication.pub_date)) thread_paginator = base_query.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator @mod.route('/') def home(sort_type='hot'): \"\"\"","page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator) @mod.route('/.atom') @mod.route('/.xml') @mod.route('/.rss') def atom_redirect(): return redirect(url_for(\"subreddits.atom_feed\", subreddit_name=\"frontpage\")) @mod.route('/h/<string:page>') def","if session.get('user_id'): g.user = User.query.get(session['user_id']) def home_subreddit(): logger.info(g.user) if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs')","@mod.route('/.xml') @mod.route('/.rss') def atom_redirect(): return redirect(url_for(\"subreddits.atom_feed\", subreddit_name=\"frontpage\")) @mod.route('/h/<string:page>') def render_markdown(page): page_md = f\"base/markdown/{page}.md\"","md = markdown2.markdown(content, extras = ['fenced-code-blocks', 'nofollow', 'target-blank-links', 'toc', 'tables', 'footnotes', 'metadata', 'markdown-in-html'])","import (Blueprint, request, render_template, flash, g, session, redirect, url_for, abort, Markup) from werkzeug","@mod.route('/logout/', methods=['GET', 'POST']) @requires_login def logout(): session.pop('user_id', None) return redirect(url_for('frontends.home')) @mod.route('/confirm-email/<string:token>') def confirm_email(token):","if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subreddits = Subreddit.query.filter(Subreddit.name.in_(subreddit_subs)) else: # Default set of","and comments \"\"\" query = request.args.get('query') page_title=f\"Search results for '{query}'\" rs = search_module.search(query,","redirect(url_for('frontends.home')) return render_template(\"register.html\", form=form, next=next) @mod.route('/subs/', methods=['GET', 'POST']) def view_all(): \"\"\" \"\"\" subreddit_list","because many sources pull from a thread listing source (subreddit permalink, homepage, etc)","= url_for('subreddits.atom_feed', subreddit_name='frontpage', _external=True) trending = True if request.path.endswith('trending') else False page_title =","email:\\n\\n{}{}\"\"\".format(request.url_root.strip(\"/\"), email_confirm_link), user.email) # Log the user in, as he now has an","import get_school from base.subreddits.forms import subreddit_subs, sub_form from base.utils.email import send_email from base.utils.misc","= request.args.get('page') or 1 cur_page = int(cur_page) thread_paginator = None # if we","id session['user_id'] = user.id if 'next' in request.form and request.form['next']: return redirect(request.form['next']) return","be modified as it's signed, # it's a safe place to store the","werkzeug import check_password_hash, generate_password_hash from logzero import logger from base import db, app","and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) return render_template(\"register.html\", form=form, next=next) @mod.route('/subs/', methods=['GET', 'POST'])","in, as he now has an id db.session.commit() session['user_id'] = user.id flash('Thanks for","'{query}'\" rs = search_module.search(query, orderby='creation', search_title=True, search_text=True) thread_paginator = process_thread_paginator(rs=rs) #rs = rs.all()","g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) \\ .filter(Subreddit.name.in_(subreddit_subs)) else: subs =","redirect(url_for('frontends.home')) @mod.route('/confirm-email/<string:token>') def confirm_email(token): \"\"\" Confirm user email \"\"\" user = User.query.filter_by(email_token=token).first() if","== 'new': base_query = base_query.order_by(db.desc(Thread.created_on)) elif sort_type == 'publication_date': base_query = base_query.join(Publication).order_by(db.desc(Publication.pub_date)) thread_paginator","None if session.get('user_id'): g.user = User.query.get(session['user_id']) def home_subreddit(): logger.info(g.user) if g.get('user'): subreddit_subs =","to search threads and comments \"\"\" query = request.args.get('query') page_title=f\"Search results for '{query}'\"","not trending we order by creation date \"\"\" atom_url = url_for('subreddits.atom_feed', subreddit_name='frontpage', _external=True)","= subreddit.group if g.user: sform.value=subreddit.name in g.user.subreddit_subs['subs'] form.subs.append_entry(sform) return render_template('subreddits/subs.html', cur_subreddit=None, page_title='subs', form=form,","search_text=True) thread_paginator = process_thread_paginator(rs=rs) #rs = rs.all() num_searches = rs.count() subreddits = get_subreddits()","page \"\"\" if g.user: # If the user is logged in send them","request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) return render_template(\"register.html\", form=form, next=next) @mod.route('/subs/', methods=['GET', 'POST']) def","search_title=True, search_text=True) thread_paginator = process_thread_paginator(rs=rs) #rs = rs.all() num_searches = rs.count() subreddits =","Publication from base.subreddits.models import Subreddit from base.users.decorators import requires_login from base.utils.user_utils import get_school","threads_per_page = 15 cur_page = request.args.get('page') or 1 cur_page = int(cur_page) thread_paginator =","return thread_paginator # sexy line of code :) base_query = subreddit.threads if subreddit","link sent in the confirmation email.', 'success') if 'next' in request.form and request.form['next']:","# the session can't be modified as it's signed, # it's a safe","for '{query}'\" rs = search_module.search(query, orderby='creation', search_title=True, search_text=True) thread_paginator = process_thread_paginator(rs=rs) #rs =","the database user = User(username=form.username.data, email=form.email.data, \\ password=generate_password_hash(form.password.data), university=get_school(form.email.data), email_token=random_string()) # Insert the","== 'top': base_query = base_query.order_by(db.desc(Thread.votes)) elif sort_type == 'comments': base_query = base_query.order_by(db.desc(Thread.n_comments)) elif","subreddit_name=\"frontpage\")) @mod.route('/h/<string:page>') def render_markdown(page): page_md = f\"base/markdown/{page}.md\" if not os.path.exists(page_md): abort(404) with open(page_md,","== token: user.email_verified = True db.session.commit() flash(\"Thank you for confirming your email! You","from base.threads.models import Thread, Publication from base.subreddits.models import Subreddit from base.users.decorators import requires_login","# Default set of subreddits subreddits = Subreddit.query.all() return subreddits def process_thread_paginator(trending=False, rs=None,","subreddits = Subreddit.query.all() return subreddits def process_thread_paginator(trending=False, rs=None, subreddit=None, sort_type='hot'): \"\"\" abstracted because","@mod.route('/confirm-email/<string:token>') def confirm_email(token): \"\"\" Confirm user email \"\"\" user = User.query.filter_by(email_token=token).first() if user.email_token","password=generate_password_hash(form.password.data), university=get_school(form.email.data), email_token=random_string()) # Insert the record in our database and commit it","g.user = None if session.get('user_id'): g.user = User.query.get(session['user_id']) def home_subreddit(): logger.info(g.user) if g.get('user'):","is logged in send them home return redirect(url_for('frontends.home')) next = '' if request.method","token: user.email_verified = True db.session.commit() flash(\"Thank you for confirming your email! You can","User(username=form.username.data, email=form.email.data, \\ password=generate_password_hash(form.password.data), university=get_school(form.email.data), email_token=random_string()) # Insert the record in our database","\"\"\" subreddit_list = Subreddit.query.all() form = None if g.user: if request.form: form =","logger.info(g.user) if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) \\ .filter(Subreddit.name.in_(subreddit_subs)) else:","the confirmation email.', 'success') if 'next' in request.form and request.form['next']: return redirect(request.form['next']) return","not yet stored in the database user = User(username=form.username.data, email=form.email.data, \\ password=generate_password_hash(form.password.data), university=get_school(form.email.data),","email \"\"\" user = User.query.filter_by(email_token=token).first() if user.email_token == token: user.email_verified = True db.session.commit()","trending we order by creation date \"\"\" atom_url = url_for('subreddits.atom_feed', subreddit_name='frontpage', _external=True) trending","user's password if user and check_password_hash(user.password, form.password.data): # the session can't be modified","sent in the confirmation email.', 'success') if 'next' in request.form and request.form['next']: return","base import db, app from base import search as search_module # don't override","== 'comments': base_query = base_query.order_by(db.desc(Thread.n_comments)) elif sort_type == 'new': base_query = base_query.order_by(db.desc(Thread.created_on)) elif","'GET': if 'next' in request.args: next = request.args['next'] form = LoginForm(request.form) # make","# quickly paginate some arbitrary data, no sorting if rs: thread_paginator = rs.paginate(cur_page,","an user instance not yet stored in the database user = User(username=form.username.data, email=form.email.data,","confirm your email:\\n\\n{}{}\"\"\".format(request.url_root.strip(\"/\"), email_confirm_link), user.email) # Log the user in, as he now","if x['value']])) g.user.subreddit_subs = {'subs': form_subs} flash(\"Updated Subs\", 'success') db.session.commit() else: form =","page_md = f\"base/markdown/{page}.md\" if not os.path.exists(page_md): abort(404) with open(page_md, 'r') as f: content","sure data is valid, but doesn't validate password is right if form.validate_on_submit(): #","from base import search as search_module # don't override function name from base.users.forms","subs def get_subreddits(): \"\"\" Fetch user subreddits otherwise fetch a list of defaults","url_for('frontends.confirm_email', token = user.email_token) email_response = send_email(\"Confirm upvote.pub email\", \"\"\"Please visit the link","Default set of subreddits subreddits = Subreddit.query.all() return subreddits def process_thread_paginator(trending=False, rs=None, subreddit=None,","id db.session.commit() session['user_id'] = user.id flash('Thanks for signing up! Please confirm your email","methods=['GET', 'POST']) def login(): \"\"\" We had to do some extra work to","\"\"\" user = User.query.filter_by(email_token=token).first() if user.email_token == token: user.email_verified = True db.session.commit() flash(\"Thank","Insert the record in our database and commit it db.session.add(user) email_confirm_link = url_for('frontends.confirm_email',","False page_title = \"Trending\" if trending else \"Frontpage\" thread_paginator = process_thread_paginator(trending=trending) return render_template('home.html',","'next' in request.args: next = request.args['next'] form = RegisterForm(request.form) if form.validate_on_submit(): # create","base.utils.email import send_email from base.utils.misc import random_string, validate_sort_type mod = Blueprint('frontends', __name__, url_prefix='')","some arbitrary data, no sorting if rs: thread_paginator = rs.paginate(cur_page, per_page=threads_per_page, error_out=True) return","= g.user.subreddit_subs.get('subs') base_query = base_query.join(Subreddit).filter(Subreddit.name.in_(subreddit_subs)) # Sorting if sort_type == 'hot': base_query =","base.subreddits.models import Subreddit from base.users.decorators import requires_login from base.utils.user_utils import get_school from base.subreddits.forms","sub_form from base.utils.email import send_email from base.utils.misc import random_string, validate_sort_type mod = Blueprint('frontends',","page=md, **md.metadata) @mod.route('/search/', methods=['GET']) def search(): \"\"\" Allows users to search threads and","extra work to route the user back to his or her original place","sort_type='hot'): \"\"\" abstracted because many sources pull from a thread listing source (subreddit","resultset, that means we are just looking to # quickly paginate some arbitrary","base_query = base_query.join(Subreddit).filter(Subreddit.name.in_(subreddit_subs)) # Sorting if sort_type == 'hot': base_query = base_query.order_by(db.desc(Thread.hotness)) elif","base_query = base_query.order_by(db.desc(Thread.hotness)) elif sort_type == 'top': base_query = base_query.order_by(db.desc(Thread.votes)) elif sort_type ==","are passing in a resultset, that means we are just looking to #","a resultset, that means we are just looking to # quickly paginate some","Blueprint('frontends', __name__, url_prefix='') @mod.before_request def before_request(): g.user = None if session.get('user_id'): g.user =","rs=None, subreddit=None, sort_type='hot'): \"\"\" abstracted because many sources pull from a thread listing","next = request.args['next'] form = RegisterForm(request.form) if form.validate_on_submit(): # create an user instance","our database and commit it db.session.add(user) email_confirm_link = url_for('frontends.confirm_email', token = user.email_token) email_response","'markdown-in-html']) return render_template('markdown.html', page=md, **md.metadata) @mod.route('/search/', methods=['GET']) def search(): \"\"\" Allows users to","cur_subreddit=home_subreddit(), thread_paginator=thread_paginator, num_searches=num_searches) @mod.route('/login/', methods=['GET', 'POST']) def login(): \"\"\" We had to do","user and check_password_hash(user.password, form.password.data): # the session can't be modified as it's signed,","now has an id db.session.commit() session['user_id'] = user.id flash('Thanks for signing up! Please","quickly paginate some arbitrary data, no sorting if rs: thread_paginator = rs.paginate(cur_page, per_page=threads_per_page,","subreddit else Thread.query # Filter by user subs logger.info(g.user) if g.user: subreddit_subs =","page_title = \"Trending\" if trending else \"Frontpage\" thread_paginator = process_thread_paginator(trending=trending) return render_template('home.html', atom_url=atom_url,","@mod.route('/login/', methods=['GET', 'POST']) def login(): \"\"\" We had to do some extra work","if so user = User.query.filter_by(email=form.email.data).first() # we use werzeug to validate user's password","subreddit_name='frontpage', _external=True) trending = True if request.path.endswith('trending') else False page_title = \"Trending\" if","fetch a list of defaults \"\"\" if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subreddits =","in the confirmation email.', 'success') if 'next' in request.form and request.form['next']: return redirect(request.form['next'])","subreddit.group if g.user: sform.value=subreddit.name in g.user.subreddit_subs['subs'] form.subs.append_entry(sform) return render_template('subreddits/subs.html', cur_subreddit=None, page_title='subs', form=form, subreddit_list=subreddit_list)","source (subreddit permalink, homepage, etc) \"\"\" threads_per_page = 15 cur_page = request.args.get('page') or","in a resultset, that means we are just looking to # quickly paginate","user email \"\"\" user = User.query.filter_by(email_token=token).first() if user.email_token == token: user.email_verified = True","off if so user = User.query.filter_by(email=form.email.data).first() # we use werzeug to validate user's","base.subreddits.forms import subreddit_subs, sub_form from base.utils.email import send_email from base.utils.misc import random_string, validate_sort_type","utf-8 -*- \"\"\" \"\"\" import os import markdown2 from flask import (Blueprint, request,","abort, Markup) from werkzeug import check_password_hash, generate_password_hash from logzero import logger from base","user = User.query.filter_by(email_token=token).first() if user.email_token == token: user.email_verified = True db.session.commit() flash(\"Thank you","'hot': base_query = base_query.order_by(db.desc(Thread.hotness)) elif sort_type == 'top': base_query = base_query.order_by(db.desc(Thread.votes)) elif sort_type","flash(\"Thank you for confirming your email! You can now submit and comment.\", 'success')","db.session.add(user) email_confirm_link = url_for('frontends.confirm_email', token = user.email_token) email_response = send_email(\"Confirm upvote.pub email\", \"\"\"Please","function name from base.users.forms import RegisterForm, LoginForm from base.users.models import User from base.threads.models","mod = Blueprint('frontends', __name__, url_prefix='') @mod.before_request def before_request(): g.user = None if session.get('user_id'):","the link below to confirm your email:\\n\\n{}{}\"\"\".format(request.url_root.strip(\"/\"), email_confirm_link), user.email) # Log the user","\"\"\" Fetch user subreddits otherwise fetch a list of defaults \"\"\" if g.get('user'):","'comments': base_query = base_query.order_by(db.desc(Thread.n_comments)) elif sort_type == 'new': base_query = base_query.order_by(db.desc(Thread.created_on)) elif sort_type","form.validate_on_submit(): # continue where we left off if so user = User.query.filter_by(email=form.email.data).first() #","thread_paginator = None # if we are passing in a resultset, that means","page_title=f\"Search results for '{query}'\" rs = search_module.search(query, orderby='creation', search_title=True, search_text=True) thread_paginator = process_thread_paginator(rs=rs)","return redirect(url_for('frontends.home')) @mod.route('/confirm-email/<string:token>') def confirm_email(token): \"\"\" Confirm user email \"\"\" user = User.query.filter_by(email_token=token).first()","Markup) from werkzeug import check_password_hash, generate_password_hash from logzero import logger from base import","sort_type == 'hot': base_query = base_query.order_by(db.desc(Thread.hotness)) elif sort_type == 'top': base_query = base_query.order_by(db.desc(Thread.votes))","subreddit=None, sort_type='hot'): \"\"\" abstracted because many sources pull from a thread listing source","order by creation date \"\"\" atom_url = url_for('subreddits.atom_feed', subreddit_name='frontpage', _external=True) trending = True","permalink, homepage, etc) \"\"\" threads_per_page = 15 cur_page = request.args.get('page') or 1 cur_page","# -*- coding: utf-8 -*- \"\"\" \"\"\" import os import markdown2 from flask","if sort_type == 'hot': base_query = base_query.order_by(db.desc(Thread.hotness)) elif sort_type == 'top': base_query =","modified as it's signed, # it's a safe place to store the user","store the user id session['user_id'] = user.id if 'next' in request.form and request.form['next']:","# Filter by user subs logger.info(g.user) if g.user: subreddit_subs = g.user.subreddit_subs.get('subs') base_query =","url_for, abort, Markup) from werkzeug import check_password_hash, generate_password_hash from logzero import logger from","= int(cur_page) thread_paginator = None # if we are passing in a resultset,","thread_paginator = process_thread_paginator(rs=rs) #rs = rs.all() num_searches = rs.count() subreddits = get_subreddits() return","user = User(username=form.username.data, email=form.email.data, \\ password=generate_password_hash(form.password.data), university=get_school(form.email.data), email_token=random_string()) # Insert the record in","register(): \"\"\" Registration page \"\"\" if g.user: # If the user is logged","'next' in request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) return render_template(\"register.html\", form=form, next=next)","True db.session.commit() flash(\"Thank you for confirming your email! You can now submit and","and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) flash('Wrong email or password', 'danger') return render_template(\"login.html\",","import logger from base import db, app from base import search as search_module","= url_for('frontends.confirm_email', token = user.email_token) email_response = send_email(\"Confirm upvote.pub email\", \"\"\"Please visit the","confirm_email(token): \"\"\" Confirm user email \"\"\" user = User.query.filter_by(email_token=token).first() if user.email_token == token:","email_token=random_string()) # Insert the record in our database and commit it db.session.add(user) email_confirm_link","do some extra work to route the user back to his or her","subreddits = Subreddit.query.filter(Subreddit.name.in_(subreddit_subs)) else: # Default set of subreddits subreddits = Subreddit.query.all() return","for signing up! Please confirm your email by following the link sent in","methods=['GET']) def search(): \"\"\" Allows users to search threads and comments \"\"\" query","request.args['next'] form = RegisterForm(request.form) if form.validate_on_submit(): # create an user instance not yet","@mod.route('/subs/', methods=['GET', 'POST']) def view_all(): \"\"\" \"\"\" subreddit_list = Subreddit.query.all() form = None","def before_request(): g.user = None if session.get('user_id'): g.user = User.query.get(session['user_id']) def home_subreddit(): logger.info(g.user)","token = user.email_token) email_response = send_email(\"Confirm upvote.pub email\", \"\"\"Please visit the link below","@mod.route('/.atom') @mod.route('/.xml') @mod.route('/.rss') def atom_redirect(): return redirect(url_for(\"subreddits.atom_feed\", subreddit_name=\"frontpage\")) @mod.route('/h/<string:page>') def render_markdown(page): page_md =","if form.validate_on_submit(): # continue where we left off if so user = User.query.filter_by(email=form.email.data).first()","methods=['GET', 'POST']) def view_all(): \"\"\" \"\"\" subreddit_list = Subreddit.query.all() form = None if","in our database and commit it db.session.add(user) email_confirm_link = url_for('frontends.confirm_email', token = user.email_token)","next=next) @mod.route('/logout/', methods=['GET', 'POST']) @requires_login def logout(): session.pop('user_id', None) return redirect(url_for('frontends.home')) @mod.route('/confirm-email/<string:token>') def","threads and comments \"\"\" query = request.args.get('query') page_title=f\"Search results for '{query}'\" rs =","is valid, but doesn't validate password is right if form.validate_on_submit(): # continue where","the user is logged in send them home return redirect(url_for('frontends.home')) next = ''","= user.email_token) email_response = send_email(\"Confirm upvote.pub email\", \"\"\"Please visit the link below to","logout(): session.pop('user_id', None) return redirect(url_for('frontends.home')) @mod.route('/confirm-email/<string:token>') def confirm_email(token): \"\"\" Confirm user email \"\"\"","methods=['GET', 'POST']) @requires_login def logout(): session.pop('user_id', None) return redirect(url_for('frontends.home')) @mod.route('/confirm-email/<string:token>') def confirm_email(token): \"\"\"","return subs def get_subreddits(): \"\"\" Fetch user subreddits otherwise fetch a list of","None # if we are passing in a resultset, that means we are","base_query.order_by(db.desc(Thread.n_comments)) elif sort_type == 'new': base_query = base_query.order_by(db.desc(Thread.created_on)) elif sort_type == 'publication_date': base_query","db.session.commit() flash(\"Thank you for confirming your email! You can now submit and comment.\",","the user back to his or her original place before logging in \"\"\"","original place before logging in \"\"\" if g.user: return redirect(url_for('frontends.home')) next = ''","if request.path.endswith('trending') else False page_title = \"Trending\" if trending else \"Frontpage\" thread_paginator =","form=form, next=next) @mod.route('/logout/', methods=['GET', 'POST']) @requires_login def logout(): session.pop('user_id', None) return redirect(url_for('frontends.home')) @mod.route('/confirm-email/<string:token>')","use werzeug to validate user's password if user and check_password_hash(user.password, form.password.data): # the","request.args.get('query') page_title=f\"Search results for '{query}'\" rs = search_module.search(query, orderby='creation', search_title=True, search_text=True) thread_paginator =","subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) return subs def get_subreddits(): \"\"\" Fetch user subreddits otherwise","form = LoginForm(request.form) # make sure data is valid, but doesn't validate password","in form_subs if x['value']])) g.user.subreddit_subs = {'subs': form_subs} flash(\"Updated Subs\", 'success') db.session.commit() else:","and commit it db.session.add(user) email_confirm_link = url_for('frontends.confirm_email', token = user.email_token) email_response = send_email(\"Confirm","subreddit_subs, sub_form from base.utils.email import send_email from base.utils.misc import random_string, validate_sort_type mod =","g.user: if request.form: form = subreddit_subs(request.form) if form.validate_on_submit(): form_subs = form.data.get('subs') form_subs =","atom_url=atom_url, page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator) @mod.route('/.atom') @mod.route('/.xml') @mod.route('/.rss') def atom_redirect(): return redirect(url_for(\"subreddits.atom_feed\", subreddit_name=\"frontpage\")) @mod.route('/h/<string:page>')","'metadata', 'markdown-in-html']) return render_template('markdown.html', page=md, **md.metadata) @mod.route('/search/', methods=['GET']) def search(): \"\"\" Allows users","form.data.get('subs') form_subs = list(set([x['sub_name'] for x in form_subs if x['value']])) g.user.subreddit_subs = {'subs':","list(set([x['sub_name'] for x in form_subs if x['value']])) g.user.subreddit_subs = {'subs': form_subs} flash(\"Updated Subs\",","elif sort_type == 'top': base_query = base_query.order_by(db.desc(Thread.votes)) elif sort_type == 'comments': base_query =","methods=['GET', 'POST']) def register(): \"\"\" Registration page \"\"\" if g.user: # If the","as it's signed, # it's a safe place to store the user id","os import markdown2 from flask import (Blueprint, request, render_template, flash, g, session, redirect,","you for confirming your email! You can now submit and comment.\", 'success') return","place to store the user id session['user_id'] = user.id if 'next' in request.form","= User(username=form.username.data, email=form.email.data, \\ password=generate_password_hash(form.password.data), university=get_school(form.email.data), email_token=random_string()) # Insert the record in our","view_all(): \"\"\" \"\"\" subreddit_list = Subreddit.query.all() form = None if g.user: if request.form:","= base_query.order_by(db.desc(Thread.hotness)) elif sort_type == 'top': base_query = base_query.order_by(db.desc(Thread.votes)) elif sort_type == 'comments':","Thread.query # Filter by user subs logger.info(g.user) if g.user: subreddit_subs = g.user.subreddit_subs.get('subs') base_query","markdown2 from flask import (Blueprint, request, render_template, flash, g, session, redirect, url_for, abort,","-*- \"\"\" \"\"\" import os import markdown2 from flask import (Blueprint, request, render_template,","(Blueprint, request, render_template, flash, g, session, redirect, url_for, abort, Markup) from werkzeug import","subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) \\ .filter(Subreddit.name.in_(subreddit_subs)) else: subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) return subs","# sexy line of code :) base_query = subreddit.threads if subreddit else Thread.query","if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) \\ .filter(Subreddit.name.in_(subreddit_subs)) else: subs","if request.method == 'GET': if 'next' in request.args: next = request.args['next'] form =","user = User.query.filter_by(email=form.email.data).first() # we use werzeug to validate user's password if user","User.query.filter_by(email=form.email.data).first() # we use werzeug to validate user's password if user and check_password_hash(user.password,","request.args['next'] form = LoginForm(request.form) # make sure data is valid, but doesn't validate","= g.user.subreddit_subs.get('subs') subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) \\ .filter(Subreddit.name.in_(subreddit_subs)) else: subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness))","is right if form.validate_on_submit(): # continue where we left off if so user","= subreddit_subs(request.form) if form.validate_on_submit(): form_subs = form.data.get('subs') form_subs = list(set([x['sub_name'] for x in","page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator, num_searches=num_searches) @mod.route('/login/', methods=['GET', 'POST']) def login(): \"\"\" We had to","the record in our database and commit it db.session.add(user) email_confirm_link = url_for('frontends.confirm_email', token","'target-blank-links', 'toc', 'tables', 'footnotes', 'metadata', 'markdown-in-html']) return render_template('markdown.html', page=md, **md.metadata) @mod.route('/search/', methods=['GET']) def","request.args: next = request.args['next'] form = RegisterForm(request.form) if form.validate_on_submit(): # create an user","generate_password_hash from logzero import logger from base import db, app from base import","= Subreddit.query.filter(Subreddit.name.in_(subreddit_subs)) else: # Default set of subreddits subreddits = Subreddit.query.all() return subreddits","Subreddit.query.filter(Subreddit.name.in_(subreddit_subs)) else: # Default set of subreddits subreddits = Subreddit.query.all() return subreddits def","form=form, next=next) @mod.route('/subs/', methods=['GET', 'POST']) def view_all(): \"\"\" \"\"\" subreddit_list = Subreddit.query.all() form","db, app from base import search as search_module # don't override function name",":) base_query = subreddit.threads if subreddit else Thread.query # Filter by user subs","email_confirm_link), user.email) # Log the user in, as he now has an id","trending else \"Frontpage\" thread_paginator = process_thread_paginator(trending=trending) return render_template('home.html', atom_url=atom_url, page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator) @mod.route('/.atom')","back to his or her original place before logging in \"\"\" if g.user:","\"\"\" if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subreddits = Subreddit.query.filter(Subreddit.name.in_(subreddit_subs)) else: # Default set","orderby='creation', search_title=True, search_text=True) thread_paginator = process_thread_paginator(rs=rs) #rs = rs.all() num_searches = rs.count() subreddits","@mod.before_request def before_request(): g.user = None if session.get('user_id'): g.user = User.query.get(session['user_id']) def home_subreddit():","email.', 'success') if 'next' in request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) return","commit it db.session.add(user) email_confirm_link = url_for('frontends.confirm_email', token = user.email_token) email_response = send_email(\"Confirm upvote.pub","he now has an id db.session.commit() session['user_id'] = user.id flash('Thanks for signing up!","= '' if request.method == 'GET': if 'next' in request.args: next = request.args['next']","= None if g.user: if request.form: form = subreddit_subs(request.form) if form.validate_on_submit(): form_subs =","= search_module.search(query, orderby='creation', search_title=True, search_text=True) thread_paginator = process_thread_paginator(rs=rs) #rs = rs.all() num_searches =","content = f.read() md = markdown2.markdown(content, extras = ['fenced-code-blocks', 'nofollow', 'target-blank-links', 'toc', 'tables',","extras = ['fenced-code-blocks', 'nofollow', 'target-blank-links', 'toc', 'tables', 'footnotes', 'metadata', 'markdown-in-html']) return render_template('markdown.html', page=md,","user.email_token == token: user.email_verified = True db.session.commit() flash(\"Thank you for confirming your email!","os.path.exists(page_md): abort(404) with open(page_md, 'r') as f: content = f.read() md = markdown2.markdown(content,","comment.\", 'success') return redirect(url_for('frontends.home')) @mod.route('/register/', methods=['GET', 'POST']) def register(): \"\"\" Registration page \"\"\"","up! Please confirm your email by following the link sent in the confirmation","x in form_subs if x['value']])) g.user.subreddit_subs = {'subs': form_subs} flash(\"Updated Subs\", 'success') db.session.commit()","sort_type == 'new': base_query = base_query.order_by(db.desc(Thread.created_on)) elif sort_type == 'publication_date': base_query = base_query.join(Publication).order_by(db.desc(Publication.pub_date))","form = None if g.user: if request.form: form = subreddit_subs(request.form) if form.validate_on_submit(): form_subs","Allows users to search threads and comments \"\"\" query = request.args.get('query') page_title=f\"Search results","'success') if 'next' in request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) return render_template(\"register.html\",","email! You can now submit and comment.\", 'success') return redirect(url_for('frontends.home')) @mod.route('/register/', methods=['GET', 'POST'])","the link sent in the confirmation email.', 'success') if 'next' in request.form and","validate user's password if user and check_password_hash(user.password, form.password.data): # the session can't be","def get_subreddits(): \"\"\" Fetch user subreddits otherwise fetch a list of defaults \"\"\"","sub_form() sform.sub_name = subreddit.name sform.sub_group = subreddit.group if g.user: sform.value=subreddit.name in g.user.subreddit_subs['subs'] form.subs.append_entry(sform)","'toc', 'tables', 'footnotes', 'metadata', 'markdown-in-html']) return render_template('markdown.html', page=md, **md.metadata) @mod.route('/search/', methods=['GET']) def search():","import random_string, validate_sort_type mod = Blueprint('frontends', __name__, url_prefix='') @mod.before_request def before_request(): g.user =","sort_type == 'publication_date': base_query = base_query.join(Publication).order_by(db.desc(Publication.pub_date)) thread_paginator = base_query.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator","= get_subreddits() return render_template('home.html', page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator, num_searches=num_searches) @mod.route('/login/', methods=['GET', 'POST']) def login():","LoginForm(request.form) # make sure data is valid, but doesn't validate password is right","that means we are just looking to # quickly paginate some arbitrary data,","If the user is logged in send them home return redirect(url_for('frontends.home')) next =","base_query.join(Publication).order_by(db.desc(Publication.pub_date)) thread_paginator = base_query.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator @mod.route('/') def home(sort_type='hot'): \"\"\" If","in the database user = User(username=form.username.data, email=form.email.data, \\ password=generate_password_hash(form.password.data), university=get_school(form.email.data), email_token=random_string()) # Insert","'r') as f: content = f.read() md = markdown2.markdown(content, extras = ['fenced-code-blocks', 'nofollow',","don't override function name from base.users.forms import RegisterForm, LoginForm from base.users.models import User","url_prefix='') @mod.before_request def before_request(): g.user = None if session.get('user_id'): g.user = User.query.get(session['user_id']) def","many sources pull from a thread listing source (subreddit permalink, homepage, etc) \"\"\"","base_query.order_by(db.desc(Thread.created_on)) elif sort_type == 'publication_date': base_query = base_query.join(Publication).order_by(db.desc(Publication.pub_date)) thread_paginator = base_query.paginate(cur_page, per_page=threads_per_page, error_out=True)","# we use werzeug to validate user's password if user and check_password_hash(user.password, form.password.data):","RegisterForm, LoginForm from base.users.models import User from base.threads.models import Thread, Publication from base.subreddits.models","# If the user is logged in send them home return redirect(url_for('frontends.home')) next","and comment.\", 'success') return redirect(url_for('frontends.home')) @mod.route('/register/', methods=['GET', 'POST']) def register(): \"\"\" Registration page","per_page=threads_per_page, error_out=True) return thread_paginator # sexy line of code :) base_query = subreddit.threads","where we left off if so user = User.query.filter_by(email=form.email.data).first() # we use werzeug","@mod.route('/h/<string:page>') def render_markdown(page): page_md = f\"base/markdown/{page}.md\" if not os.path.exists(page_md): abort(404) with open(page_md, 'r')","a thread listing source (subreddit permalink, homepage, etc) \"\"\" threads_per_page = 15 cur_page","some extra work to route the user back to his or her original","rs.count() subreddits = get_subreddits() return render_template('home.html', page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator, num_searches=num_searches) @mod.route('/login/', methods=['GET', 'POST'])","user.id if 'next' in request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) flash('Wrong email","before_request(): g.user = None if session.get('user_id'): g.user = User.query.get(session['user_id']) def home_subreddit(): logger.info(g.user) if","== 'GET': if 'next' in request.args: next = request.args['next'] form = RegisterForm(request.form) if","= base_query.order_by(db.desc(Thread.created_on)) elif sort_type == 'publication_date': base_query = base_query.join(Publication).order_by(db.desc(Publication.pub_date)) thread_paginator = base_query.paginate(cur_page, per_page=threads_per_page,","as he now has an id db.session.commit() session['user_id'] = user.id flash('Thanks for signing","in request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) flash('Wrong email or password', 'danger')","to # quickly paginate some arbitrary data, no sorting if rs: thread_paginator =","= base_query.order_by(db.desc(Thread.n_comments)) elif sort_type == 'new': base_query = base_query.order_by(db.desc(Thread.created_on)) elif sort_type == 'publication_date':","Subreddit.query.all() form = None if g.user: if request.form: form = subreddit_subs(request.form) if form.validate_on_submit():","user subs logger.info(g.user) if g.user: subreddit_subs = g.user.subreddit_subs.get('subs') base_query = base_query.join(Subreddit).filter(Subreddit.name.in_(subreddit_subs)) # Sorting","else: subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) return subs def get_subreddits(): \"\"\" Fetch user subreddits","search_module # don't override function name from base.users.forms import RegisterForm, LoginForm from base.users.models","we left off if so user = User.query.filter_by(email=form.email.data).first() # we use werzeug to","num_searches=num_searches) @mod.route('/login/', methods=['GET', 'POST']) def login(): \"\"\" We had to do some extra","= list(set([x['sub_name'] for x in form_subs if x['value']])) g.user.subreddit_subs = {'subs': form_subs} flash(\"Updated","form_subs if x['value']])) g.user.subreddit_subs = {'subs': form_subs} flash(\"Updated Subs\", 'success') db.session.commit() else: form","# Sorting if sort_type == 'hot': base_query = base_query.order_by(db.desc(Thread.hotness)) elif sort_type == 'top':","link below to confirm your email:\\n\\n{}{}\"\"\".format(request.url_root.strip(\"/\"), email_confirm_link), user.email) # Log the user in,","= User.query.filter_by(email=form.email.data).first() # we use werzeug to validate user's password if user and","cur_page = int(cur_page) thread_paginator = None # if we are passing in a","thread listing source (subreddit permalink, homepage, etc) \"\"\" threads_per_page = 15 cur_page =","flash(\"Updated Subs\", 'success') db.session.commit() else: form = subreddit_subs() for subreddit in subreddit_list: sform","redirect(url_for('frontends.home')) next = '' if request.method == 'GET': if 'next' in request.args: next","return render_template(\"login.html\", form=form, next=next) @mod.route('/logout/', methods=['GET', 'POST']) @requires_login def logout(): session.pop('user_id', None) return","coding: utf-8 -*- \"\"\" \"\"\" import os import markdown2 from flask import (Blueprint,","to route the user back to his or her original place before logging","logzero import logger from base import db, app from base import search as","query = request.args.get('query') page_title=f\"Search results for '{query}'\" rs = search_module.search(query, orderby='creation', search_title=True, search_text=True)","base.users.decorators import requires_login from base.utils.user_utils import get_school from base.subreddits.forms import subreddit_subs, sub_form from","arbitrary data, no sorting if rs: thread_paginator = rs.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator","'new': base_query = base_query.order_by(db.desc(Thread.created_on)) elif sort_type == 'publication_date': base_query = base_query.join(Publication).order_by(db.desc(Publication.pub_date)) thread_paginator =","<reponame>danielecook/upvote.pub # -*- coding: utf-8 -*- \"\"\" \"\"\" import os import markdown2 from"],"string":"[\n \"'next' in request.args: next = request.args['next'] form = LoginForm(request.form) # make sure data\",\n \"email or password', 'danger') return render_template(\\\"login.html\\\", form=form, next=next) @mod.route('/logout/', methods=['GET', 'POST']) @requires_login def\",\n \"session can't be modified as it's signed, # it's a safe place to\",\n \"process_thread_paginator(trending=trending) return render_template('home.html', atom_url=atom_url, page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator) @mod.route('/.atom') @mod.route('/.xml') @mod.route('/.rss') def atom_redirect(): return\",\n \"session['user_id'] = user.id if 'next' in request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home'))\",\n \"place before logging in \\\"\\\"\\\" if g.user: return redirect(url_for('frontends.home')) next = '' if\",\n \"= subreddit.threads if subreddit else Thread.query # Filter by user subs logger.info(g.user) if\",\n \"return redirect(url_for('frontends.home')) return render_template(\\\"register.html\\\", form=form, next=next) @mod.route('/subs/', methods=['GET', 'POST']) def view_all(): \\\"\\\"\\\" \\\"\\\"\\\"\",\n \"return subreddits def process_thread_paginator(trending=False, rs=None, subreddit=None, sort_type='hot'): \\\"\\\"\\\" abstracted because many sources pull\",\n \"from base.users.forms import RegisterForm, LoginForm from base.users.models import User from base.threads.models import Thread,\",\n \"of code :) base_query = subreddit.threads if subreddit else Thread.query # Filter by\",\n \"== 'publication_date': base_query = base_query.join(Publication).order_by(db.desc(Publication.pub_date)) thread_paginator = base_query.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator @mod.route('/')\",\n \"if g.user: if request.form: form = subreddit_subs(request.form) if form.validate_on_submit(): form_subs = form.data.get('subs') form_subs\",\n \"logger from base import db, app from base import search as search_module #\",\n \"\\\"Trending\\\" if trending else \\\"Frontpage\\\" thread_paginator = process_thread_paginator(trending=trending) return render_template('home.html', atom_url=atom_url, page_title=page_title, cur_subreddit=home_subreddit(),\",\n \"defaults \\\"\\\"\\\" if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subreddits = Subreddit.query.filter(Subreddit.name.in_(subreddit_subs)) else: # Default\",\n \"f: content = f.read() md = markdown2.markdown(content, extras = ['fenced-code-blocks', 'nofollow', 'target-blank-links', 'toc',\",\n \"user.id flash('Thanks for signing up! Please confirm your email by following the link\",\n \"if we are passing in a resultset, that means we are just looking\",\n \"base.users.models import User from base.threads.models import Thread, Publication from base.subreddits.models import Subreddit from\",\n \"university=get_school(form.email.data), email_token=random_string()) # Insert the record in our database and commit it db.session.add(user)\",\n \"thread_paginator = process_thread_paginator(trending=trending) return render_template('home.html', atom_url=atom_url, page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator) @mod.route('/.atom') @mod.route('/.xml') @mod.route('/.rss') def\",\n \"listing source (subreddit permalink, homepage, etc) \\\"\\\"\\\" threads_per_page = 15 cur_page = request.args.get('page')\",\n \"as search_module # don't override function name from base.users.forms import RegisterForm, LoginForm from\",\n \"\\\"Frontpage\\\" thread_paginator = process_thread_paginator(trending=trending) return render_template('home.html', atom_url=atom_url, page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator) @mod.route('/.atom') @mod.route('/.xml') @mod.route('/.rss')\",\n \"rs.all() num_searches = rs.count() subreddits = get_subreddits() return render_template('home.html', page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator, num_searches=num_searches)\",\n \"base_query = base_query.order_by(db.desc(Thread.n_comments)) elif sort_type == 'new': base_query = base_query.order_by(db.desc(Thread.created_on)) elif sort_type ==\",\n \"= User.query.filter_by(email_token=token).first() if user.email_token == token: user.email_verified = True db.session.commit() flash(\\\"Thank you for\",\n \"user.email_verified = True db.session.commit() flash(\\\"Thank you for confirming your email! You can now\",\n \"sform.sub_group = subreddit.group if g.user: sform.value=subreddit.name in g.user.subreddit_subs['subs'] form.subs.append_entry(sform) return render_template('subreddits/subs.html', cur_subreddit=None, page_title='subs',\",\n \"_external=True) trending = True if request.path.endswith('trending') else False page_title = \\\"Trending\\\" if trending\",\n \"upvote.pub email\\\", \\\"\\\"\\\"Please visit the link below to confirm your email:\\\\n\\\\n{}{}\\\"\\\"\\\".format(request.url_root.strip(\\\"/\\\"), email_confirm_link), user.email)\",\n \"render_template(\\\"login.html\\\", form=form, next=next) @mod.route('/logout/', methods=['GET', 'POST']) @requires_login def logout(): session.pop('user_id', None) return redirect(url_for('frontends.home'))\",\n \"return redirect(url_for('frontends.home')) @mod.route('/register/', methods=['GET', 'POST']) def register(): \\\"\\\"\\\" Registration page \\\"\\\"\\\" if g.user:\",\n \"user instance not yet stored in the database user = User(username=form.username.data, email=form.email.data, \\\\\",\n \"else False page_title = \\\"Trending\\\" if trending else \\\"Frontpage\\\" thread_paginator = process_thread_paginator(trending=trending) return\",\n \"passing in a resultset, that means we are just looking to # quickly\",\n \"@mod.route('/') def home(sort_type='hot'): \\\"\\\"\\\" If not trending we order by creation date \\\"\\\"\\\"\",\n \"for subreddit in subreddit_list: sform = sub_form() sform.sub_name = subreddit.name sform.sub_group = subreddit.group\",\n \"= \\\"Trending\\\" if trending else \\\"Frontpage\\\" thread_paginator = process_thread_paginator(trending=trending) return render_template('home.html', atom_url=atom_url, page_title=page_title,\",\n \"if trending else \\\"Frontpage\\\" thread_paginator = process_thread_paginator(trending=trending) return render_template('home.html', atom_url=atom_url, page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator)\",\n \"render_template('markdown.html', page=md, **md.metadata) @mod.route('/search/', methods=['GET']) def search(): \\\"\\\"\\\" Allows users to search threads\",\n \"{'subs': form_subs} flash(\\\"Updated Subs\\\", 'success') db.session.commit() else: form = subreddit_subs() for subreddit in\",\n \"form.validate_on_submit(): # create an user instance not yet stored in the database user\",\n \"You can now submit and comment.\\\", 'success') return redirect(url_for('frontends.home')) @mod.route('/register/', methods=['GET', 'POST']) def\",\n \"trending = True if request.path.endswith('trending') else False page_title = \\\"Trending\\\" if trending else\",\n \"= Subreddit.query.all() form = None if g.user: if request.form: form = subreddit_subs(request.form) if\",\n \"(subreddit permalink, homepage, etc) \\\"\\\"\\\" threads_per_page = 15 cur_page = request.args.get('page') or 1\",\n \"check_password_hash(user.password, form.password.data): # the session can't be modified as it's signed, # it's\",\n \"in subreddit_list: sform = sub_form() sform.sub_name = subreddit.name sform.sub_group = subreddit.group if g.user:\",\n \"route the user back to his or her original place before logging in\",\n \"and check_password_hash(user.password, form.password.data): # the session can't be modified as it's signed, #\",\n \"if g.user: subreddit_subs = g.user.subreddit_subs.get('subs') base_query = base_query.join(Subreddit).filter(Subreddit.name.in_(subreddit_subs)) # Sorting if sort_type ==\",\n \"= LoginForm(request.form) # make sure data is valid, but doesn't validate password is\",\n \"following the link sent in the confirmation email.', 'success') if 'next' in request.form\",\n \"= g.user.subreddit_subs.get('subs') subreddits = Subreddit.query.filter(Subreddit.name.in_(subreddit_subs)) else: # Default set of subreddits subreddits =\",\n \"search(): \\\"\\\"\\\" Allows users to search threads and comments \\\"\\\"\\\" query = request.args.get('query')\",\n \"we use werzeug to validate user's password if user and check_password_hash(user.password, form.password.data): #\",\n \"results for '{query}'\\\" rs = search_module.search(query, orderby='creation', search_title=True, search_text=True) thread_paginator = process_thread_paginator(rs=rs) #rs\",\n \"markdown2.markdown(content, extras = ['fenced-code-blocks', 'nofollow', 'target-blank-links', 'toc', 'tables', 'footnotes', 'metadata', 'markdown-in-html']) return render_template('markdown.html',\",\n \"None) return redirect(url_for('frontends.home')) @mod.route('/confirm-email/<string:token>') def confirm_email(token): \\\"\\\"\\\" Confirm user email \\\"\\\"\\\" user =\",\n \"url_for('subreddits.atom_feed', subreddit_name='frontpage', _external=True) trending = True if request.path.endswith('trending') else False page_title = \\\"Trending\\\"\",\n \"date \\\"\\\"\\\" atom_url = url_for('subreddits.atom_feed', subreddit_name='frontpage', _external=True) trending = True if request.path.endswith('trending') else\",\n \"if g.user: # If the user is logged in send them home return\",\n \"signing up! Please confirm your email by following the link sent in the\",\n \"if user.email_token == token: user.email_verified = True db.session.commit() flash(\\\"Thank you for confirming your\",\n \"\\\"\\\"\\\" If not trending we order by creation date \\\"\\\"\\\" atom_url = url_for('subreddits.atom_feed',\",\n \"__name__, url_prefix='') @mod.before_request def before_request(): g.user = None if session.get('user_id'): g.user = User.query.get(session['user_id'])\",\n \"render_template('home.html', atom_url=atom_url, page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator) @mod.route('/.atom') @mod.route('/.xml') @mod.route('/.rss') def atom_redirect(): return redirect(url_for(\\\"subreddits.atom_feed\\\", subreddit_name=\\\"frontpage\\\"))\",\n \"base_query = base_query.order_by(db.desc(Thread.votes)) elif sort_type == 'comments': base_query = base_query.order_by(db.desc(Thread.n_comments)) elif sort_type ==\",\n \"\\\"\\\"\\\" \\\"\\\"\\\" import os import markdown2 from flask import (Blueprint, request, render_template, flash,\",\n \"sorting if rs: thread_paginator = rs.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator # sexy line\",\n \"= send_email(\\\"Confirm upvote.pub email\\\", \\\"\\\"\\\"Please visit the link below to confirm your email:\\\\n\\\\n{}{}\\\"\\\"\\\".format(request.url_root.strip(\\\"/\\\"),\",\n \"password is right if form.validate_on_submit(): # continue where we left off if so\",\n \"= User.query.get(session['user_id']) def home_subreddit(): logger.info(g.user) if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subs = Thread.query.order_by(db.desc(Thread.hotness),\",\n \"= rs.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator # sexy line of code :) base_query\",\n \"your email:\\\\n\\\\n{}{}\\\"\\\"\\\".format(request.url_root.strip(\\\"/\\\"), email_confirm_link), user.email) # Log the user in, as he now has\",\n \"= user.id if 'next' in request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) flash('Wrong\",\n \"# create an user instance not yet stored in the database user =\",\n \"redirect(request.form['next']) return redirect(url_for('frontends.home')) return render_template(\\\"register.html\\\", form=form, next=next) @mod.route('/subs/', methods=['GET', 'POST']) def view_all(): \\\"\\\"\\\"\",\n \"LoginForm from base.users.models import User from base.threads.models import Thread, Publication from base.subreddits.models import\",\n \"get_subreddits(): \\\"\\\"\\\" Fetch user subreddits otherwise fetch a list of defaults \\\"\\\"\\\" if\",\n \"error_out=True) return thread_paginator @mod.route('/') def home(sort_type='hot'): \\\"\\\"\\\" If not trending we order by\",\n \"import Thread, Publication from base.subreddits.models import Subreddit from base.users.decorators import requires_login from base.utils.user_utils\",\n \"redirect, url_for, abort, Markup) from werkzeug import check_password_hash, generate_password_hash from logzero import logger\",\n \"= form.data.get('subs') form_subs = list(set([x['sub_name'] for x in form_subs if x['value']])) g.user.subreddit_subs =\",\n \"confirm your email by following the link sent in the confirmation email.', 'success')\",\n \"in \\\"\\\"\\\" if g.user: return redirect(url_for('frontends.home')) next = '' if request.method == 'GET':\",\n \"below to confirm your email:\\\\n\\\\n{}{}\\\"\\\"\\\".format(request.url_root.strip(\\\"/\\\"), email_confirm_link), user.email) # Log the user in, as\",\n \"render_markdown(page): page_md = f\\\"base/markdown/{page}.md\\\" if not os.path.exists(page_md): abort(404) with open(page_md, 'r') as f:\",\n \"g.user: return redirect(url_for('frontends.home')) next = '' if request.method == 'GET': if 'next' in\",\n \"Log the user in, as he now has an id db.session.commit() session['user_id'] =\",\n \"base_query = subreddit.threads if subreddit else Thread.query # Filter by user subs logger.info(g.user)\",\n \"rs.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator # sexy line of code :) base_query =\",\n \"base_query.order_by(db.desc(Thread.hotness)) elif sort_type == 'top': base_query = base_query.order_by(db.desc(Thread.votes)) elif sort_type == 'comments': base_query\",\n \"\\\"\\\"\\\" Confirm user email \\\"\\\"\\\" user = User.query.filter_by(email_token=token).first() if user.email_token == token: user.email_verified\",\n \"db.session.commit() else: form = subreddit_subs() for subreddit in subreddit_list: sform = sub_form() sform.sub_name\",\n \"'tables', 'footnotes', 'metadata', 'markdown-in-html']) return render_template('markdown.html', page=md, **md.metadata) @mod.route('/search/', methods=['GET']) def search(): \\\"\\\"\\\"\",\n \"submit and comment.\\\", 'success') return redirect(url_for('frontends.home')) @mod.route('/register/', methods=['GET', 'POST']) def register(): \\\"\\\"\\\" Registration\",\n \"just looking to # quickly paginate some arbitrary data, no sorting if rs:\",\n \"to store the user id session['user_id'] = user.id if 'next' in request.form and\",\n \"RegisterForm(request.form) if form.validate_on_submit(): # create an user instance not yet stored in the\",\n \"form = RegisterForm(request.form) if form.validate_on_submit(): # create an user instance not yet stored\",\n \"it's a safe place to store the user id session['user_id'] = user.id if\",\n \"by user subs logger.info(g.user) if g.user: subreddit_subs = g.user.subreddit_subs.get('subs') base_query = base_query.join(Subreddit).filter(Subreddit.name.in_(subreddit_subs)) #\",\n \"g.user.subreddit_subs.get('subs') base_query = base_query.join(Subreddit).filter(Subreddit.name.in_(subreddit_subs)) # Sorting if sort_type == 'hot': base_query = base_query.order_by(db.desc(Thread.hotness))\",\n \"db.desc(Thread.hotness)) return subs def get_subreddits(): \\\"\\\"\\\" Fetch user subreddits otherwise fetch a list\",\n \"logger.info(g.user) if g.user: subreddit_subs = g.user.subreddit_subs.get('subs') base_query = base_query.join(Subreddit).filter(Subreddit.name.in_(subreddit_subs)) # Sorting if sort_type\",\n \"**md.metadata) @mod.route('/search/', methods=['GET']) def search(): \\\"\\\"\\\" Allows users to search threads and comments\",\n \"g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subreddits = Subreddit.query.filter(Subreddit.name.in_(subreddit_subs)) else: # Default set of subreddits\",\n \"Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) \\\\ .filter(Subreddit.name.in_(subreddit_subs)) else: subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) return subs def get_subreddits():\",\n \"request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) flash('Wrong email or password', 'danger') return render_template(\\\"login.html\\\", form=form,\",\n \"login(): \\\"\\\"\\\" We had to do some extra work to route the user\",\n \"no sorting if rs: thread_paginator = rs.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator # sexy\",\n \"from base import db, app from base import search as search_module # don't\",\n \"in request.args: next = request.args['next'] form = LoginForm(request.form) # make sure data is\",\n \"confirming your email! You can now submit and comment.\\\", 'success') return redirect(url_for('frontends.home')) @mod.route('/register/',\",\n \"for confirming your email! You can now submit and comment.\\\", 'success') return redirect(url_for('frontends.home'))\",\n \"'next' in request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) flash('Wrong email or password',\",\n \"search_module.search(query, orderby='creation', search_title=True, search_text=True) thread_paginator = process_thread_paginator(rs=rs) #rs = rs.all() num_searches = rs.count()\",\n \"session.pop('user_id', None) return redirect(url_for('frontends.home')) @mod.route('/confirm-email/<string:token>') def confirm_email(token): \\\"\\\"\\\" Confirm user email \\\"\\\"\\\" user\",\n \"render_template('home.html', page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator, num_searches=num_searches) @mod.route('/login/', methods=['GET', 'POST']) def login(): \\\"\\\"\\\" We had\",\n \"15 cur_page = request.args.get('page') or 1 cur_page = int(cur_page) thread_paginator = None #\",\n \"if user and check_password_hash(user.password, form.password.data): # the session can't be modified as it's\",\n \"error_out=True) return thread_paginator # sexy line of code :) base_query = subreddit.threads if\",\n \"return redirect(request.form['next']) return redirect(url_for('frontends.home')) return render_template(\\\"register.html\\\", form=form, next=next) @mod.route('/subs/', methods=['GET', 'POST']) def view_all():\",\n \"import search as search_module # don't override function name from base.users.forms import RegisterForm,\",\n \"Registration page \\\"\\\"\\\" if g.user: # If the user is logged in send\",\n \"\\\"\\\"\\\" if g.user: return redirect(url_for('frontends.home')) next = '' if request.method == 'GET': if\",\n \"base_query.join(Subreddit).filter(Subreddit.name.in_(subreddit_subs)) # Sorting if sort_type == 'hot': base_query = base_query.order_by(db.desc(Thread.hotness)) elif sort_type ==\",\n \"a list of defaults \\\"\\\"\\\" if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subreddits = Subreddit.query.filter(Subreddit.name.in_(subreddit_subs))\",\n \"can't be modified as it's signed, # it's a safe place to store\",\n \"sform = sub_form() sform.sub_name = subreddit.name sform.sub_group = subreddit.group if g.user: sform.value=subreddit.name in\",\n \"your email by following the link sent in the confirmation email.', 'success') if\",\n \"override function name from base.users.forms import RegisterForm, LoginForm from base.users.models import User from\",\n \"to confirm your email:\\\\n\\\\n{}{}\\\"\\\"\\\".format(request.url_root.strip(\\\"/\\\"), email_confirm_link), user.email) # Log the user in, as he\",\n \"def atom_redirect(): return redirect(url_for(\\\"subreddits.atom_feed\\\", subreddit_name=\\\"frontpage\\\")) @mod.route('/h/<string:page>') def render_markdown(page): page_md = f\\\"base/markdown/{page}.md\\\" if not\",\n \"\\\"\\\"\\\" threads_per_page = 15 cur_page = request.args.get('page') or 1 cur_page = int(cur_page) thread_paginator\",\n \"subreddits def process_thread_paginator(trending=False, rs=None, subreddit=None, sort_type='hot'): \\\"\\\"\\\" abstracted because many sources pull from\",\n \"confirmation email.', 'success') if 'next' in request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home'))\",\n \"#rs = rs.all() num_searches = rs.count() subreddits = get_subreddits() return render_template('home.html', page_title=page_title, cur_subreddit=home_subreddit(),\",\n \"next = request.args['next'] form = LoginForm(request.form) # make sure data is valid, but\",\n \"subreddit in subreddit_list: sform = sub_form() sform.sub_name = subreddit.name sform.sub_group = subreddit.group if\",\n \"'success') return redirect(url_for('frontends.home')) @mod.route('/register/', methods=['GET', 'POST']) def register(): \\\"\\\"\\\" Registration page \\\"\\\"\\\" if\",\n \"password', 'danger') return render_template(\\\"login.html\\\", form=form, next=next) @mod.route('/logout/', methods=['GET', 'POST']) @requires_login def logout(): session.pop('user_id',\",\n \"elif sort_type == 'publication_date': base_query = base_query.join(Publication).order_by(db.desc(Publication.pub_date)) thread_paginator = base_query.paginate(cur_page, per_page=threads_per_page, error_out=True) return\",\n \"subreddits otherwise fetch a list of defaults \\\"\\\"\\\" if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs')\",\n \"session.get('user_id'): g.user = User.query.get(session['user_id']) def home_subreddit(): logger.info(g.user) if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subs\",\n \"home return redirect(url_for('frontends.home')) next = '' if request.method == 'GET': if 'next' in\",\n \"random_string, validate_sort_type mod = Blueprint('frontends', __name__, url_prefix='') @mod.before_request def before_request(): g.user = None\",\n \"= ['fenced-code-blocks', 'nofollow', 'target-blank-links', 'toc', 'tables', 'footnotes', 'metadata', 'markdown-in-html']) return render_template('markdown.html', page=md, **md.metadata)\",\n \"True if request.path.endswith('trending') else False page_title = \\\"Trending\\\" if trending else \\\"Frontpage\\\" thread_paginator\",\n \"user back to his or her original place before logging in \\\"\\\"\\\" if\",\n \"valid, but doesn't validate password is right if form.validate_on_submit(): # continue where we\",\n \"\\\"\\\"\\\" if g.user: # If the user is logged in send them home\",\n \"= Blueprint('frontends', __name__, url_prefix='') @mod.before_request def before_request(): g.user = None if session.get('user_id'): g.user\",\n \"sort_type == 'top': base_query = base_query.order_by(db.desc(Thread.votes)) elif sort_type == 'comments': base_query = base_query.order_by(db.desc(Thread.n_comments))\",\n \"make sure data is valid, but doesn't validate password is right if form.validate_on_submit():\",\n \"to his or her original place before logging in \\\"\\\"\\\" if g.user: return\",\n \"def login(): \\\"\\\"\\\" We had to do some extra work to route the\",\n \"import send_email from base.utils.misc import random_string, validate_sort_type mod = Blueprint('frontends', __name__, url_prefix='') @mod.before_request\",\n \"if 'next' in request.args: next = request.args['next'] form = LoginForm(request.form) # make sure\",\n \"= Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) return subs def get_subreddits(): \\\"\\\"\\\" Fetch user subreddits otherwise fetch\",\n \"User.query.get(session['user_id']) def home_subreddit(): logger.info(g.user) if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness))\",\n \"@mod.route('/search/', methods=['GET']) def search(): \\\"\\\"\\\" Allows users to search threads and comments \\\"\\\"\\\"\",\n \"'danger') return render_template(\\\"login.html\\\", form=form, next=next) @mod.route('/logout/', methods=['GET', 'POST']) @requires_login def logout(): session.pop('user_id', None)\",\n \"import os import markdown2 from flask import (Blueprint, request, render_template, flash, g, session,\",\n \"else: # Default set of subreddits subreddits = Subreddit.query.all() return subreddits def process_thread_paginator(trending=False,\",\n \"it's signed, # it's a safe place to store the user id session['user_id']\",\n \"right if form.validate_on_submit(): # continue where we left off if so user =\",\n \"in request.args: next = request.args['next'] form = RegisterForm(request.form) if form.validate_on_submit(): # create an\",\n \"base_query = base_query.order_by(db.desc(Thread.created_on)) elif sort_type == 'publication_date': base_query = base_query.join(Publication).order_by(db.desc(Publication.pub_date)) thread_paginator = base_query.paginate(cur_page,\",\n \"'publication_date': base_query = base_query.join(Publication).order_by(db.desc(Publication.pub_date)) thread_paginator = base_query.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator @mod.route('/') def\",\n \"comments \\\"\\\"\\\" query = request.args.get('query') page_title=f\\\"Search results for '{query}'\\\" rs = search_module.search(query, orderby='creation',\",\n \"return redirect(request.form['next']) return redirect(url_for('frontends.home')) flash('Wrong email or password', 'danger') return render_template(\\\"login.html\\\", form=form, next=next)\",\n \"from base.utils.user_utils import get_school from base.subreddits.forms import subreddit_subs, sub_form from base.utils.email import send_email\",\n \"thread_paginator # sexy line of code :) base_query = subreddit.threads if subreddit else\",\n \"if not os.path.exists(page_md): abort(404) with open(page_md, 'r') as f: content = f.read() md\",\n \"if 'next' in request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) flash('Wrong email or\",\n \"num_searches = rs.count() subreddits = get_subreddits() return render_template('home.html', page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator, num_searches=num_searches) @mod.route('/login/',\",\n \"'POST']) def login(): \\\"\\\"\\\" We had to do some extra work to route\",\n \"data is valid, but doesn't validate password is right if form.validate_on_submit(): # continue\",\n \"work to route the user back to his or her original place before\",\n \"base import search as search_module # don't override function name from base.users.forms import\",\n \"password if user and check_password_hash(user.password, form.password.data): # the session can't be modified as\",\n \"import check_password_hash, generate_password_hash from logzero import logger from base import db, app from\",\n \"if g.user: return redirect(url_for('frontends.home')) next = '' if request.method == 'GET': if 'next'\",\n \"request.path.endswith('trending') else False page_title = \\\"Trending\\\" if trending else \\\"Frontpage\\\" thread_paginator = process_thread_paginator(trending=trending)\",\n \"send_email(\\\"Confirm upvote.pub email\\\", \\\"\\\"\\\"Please visit the link below to confirm your email:\\\\n\\\\n{}{}\\\"\\\"\\\".format(request.url_root.strip(\\\"/\\\"), email_confirm_link),\",\n \"code :) base_query = subreddit.threads if subreddit else Thread.query # Filter by user\",\n \"redirect(url_for(\\\"subreddits.atom_feed\\\", subreddit_name=\\\"frontpage\\\")) @mod.route('/h/<string:page>') def render_markdown(page): page_md = f\\\"base/markdown/{page}.md\\\" if not os.path.exists(page_md): abort(404) with\",\n \"atom_redirect(): return redirect(url_for(\\\"subreddits.atom_feed\\\", subreddit_name=\\\"frontpage\\\")) @mod.route('/h/<string:page>') def render_markdown(page): page_md = f\\\"base/markdown/{page}.md\\\" if not os.path.exists(page_md):\",\n \"next = '' if request.method == 'GET': if 'next' in request.args: next =\",\n \"from a thread listing source (subreddit permalink, homepage, etc) \\\"\\\"\\\" threads_per_page = 15\",\n \"'POST']) @requires_login def logout(): session.pop('user_id', None) return redirect(url_for('frontends.home')) @mod.route('/confirm-email/<string:token>') def confirm_email(token): \\\"\\\"\\\" Confirm\",\n \"by following the link sent in the confirmation email.', 'success') if 'next' in\",\n \"before logging in \\\"\\\"\\\" if g.user: return redirect(url_for('frontends.home')) next = '' if request.method\",\n \"return redirect(url_for('frontends.home')) flash('Wrong email or password', 'danger') return render_template(\\\"login.html\\\", form=form, next=next) @mod.route('/logout/', methods=['GET',\",\n \"open(page_md, 'r') as f: content = f.read() md = markdown2.markdown(content, extras = ['fenced-code-blocks',\",\n \"Filter by user subs logger.info(g.user) if g.user: subreddit_subs = g.user.subreddit_subs.get('subs') base_query = base_query.join(Subreddit).filter(Subreddit.name.in_(subreddit_subs))\",\n \"import requires_login from base.utils.user_utils import get_school from base.subreddits.forms import subreddit_subs, sub_form from base.utils.email\",\n \"home_subreddit(): logger.info(g.user) if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) \\\\ .filter(Subreddit.name.in_(subreddit_subs))\",\n \"check_password_hash, generate_password_hash from logzero import logger from base import db, app from base\",\n \"= f.read() md = markdown2.markdown(content, extras = ['fenced-code-blocks', 'nofollow', 'target-blank-links', 'toc', 'tables', 'footnotes',\",\n \"from flask import (Blueprint, request, render_template, flash, g, session, redirect, url_for, abort, Markup)\",\n \"'footnotes', 'metadata', 'markdown-in-html']) return render_template('markdown.html', page=md, **md.metadata) @mod.route('/search/', methods=['GET']) def search(): \\\"\\\"\\\" Allows\",\n \"f\\\"base/markdown/{page}.md\\\" if not os.path.exists(page_md): abort(404) with open(page_md, 'r') as f: content = f.read()\",\n \"database user = User(username=form.username.data, email=form.email.data, \\\\ password=generate_password_hash(form.password.data), university=get_school(form.email.data), email_token=random_string()) # Insert the record\",\n \"app from base import search as search_module # don't override function name from\",\n \"or 1 cur_page = int(cur_page) thread_paginator = None # if we are passing\",\n \"else: form = subreddit_subs() for subreddit in subreddit_list: sform = sub_form() sform.sub_name =\",\n \"# make sure data is valid, but doesn't validate password is right if\",\n \"pull from a thread listing source (subreddit permalink, homepage, etc) \\\"\\\"\\\" threads_per_page =\",\n \"# continue where we left off if so user = User.query.filter_by(email=form.email.data).first() # we\",\n \"looking to # quickly paginate some arbitrary data, no sorting if rs: thread_paginator\",\n \"\\\"\\\"\\\" Registration page \\\"\\\"\\\" if g.user: # If the user is logged in\",\n \"create an user instance not yet stored in the database user = User(username=form.username.data,\",\n \"Subreddit.query.all() return subreddits def process_thread_paginator(trending=False, rs=None, subreddit=None, sort_type='hot'): \\\"\\\"\\\" abstracted because many sources\",\n \"= rs.all() num_searches = rs.count() subreddits = get_subreddits() return render_template('home.html', page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator,\",\n \"request.method == 'GET': if 'next' in request.args: next = request.args['next'] form = LoginForm(request.form)\",\n \"def render_markdown(page): page_md = f\\\"base/markdown/{page}.md\\\" if not os.path.exists(page_md): abort(404) with open(page_md, 'r') as\",\n \".filter(Subreddit.name.in_(subreddit_subs)) else: subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) return subs def get_subreddits(): \\\"\\\"\\\" Fetch user\",\n \"rs: thread_paginator = rs.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator # sexy line of code\",\n \"line of code :) base_query = subreddit.threads if subreddit else Thread.query # Filter\",\n \"@mod.route('/.rss') def atom_redirect(): return redirect(url_for(\\\"subreddits.atom_feed\\\", subreddit_name=\\\"frontpage\\\")) @mod.route('/h/<string:page>') def render_markdown(page): page_md = f\\\"base/markdown/{page}.md\\\" if\",\n \"subreddit_subs = g.user.subreddit_subs.get('subs') subreddits = Subreddit.query.filter(Subreddit.name.in_(subreddit_subs)) else: # Default set of subreddits subreddits\",\n \"email_response = send_email(\\\"Confirm upvote.pub email\\\", \\\"\\\"\\\"Please visit the link below to confirm your\",\n \"== 'GET': if 'next' in request.args: next = request.args['next'] form = LoginForm(request.form) #\",\n \"if 'next' in request.args: next = request.args['next'] form = RegisterForm(request.form) if form.validate_on_submit(): #\",\n \"base.threads.models import Thread, Publication from base.subreddits.models import Subreddit from base.users.decorators import requires_login from\",\n \"the session can't be modified as it's signed, # it's a safe place\",\n \"atom_url = url_for('subreddits.atom_feed', subreddit_name='frontpage', _external=True) trending = True if request.path.endswith('trending') else False page_title\",\n \"redirect(request.form['next']) return redirect(url_for('frontends.home')) flash('Wrong email or password', 'danger') return render_template(\\\"login.html\\\", form=form, next=next) @mod.route('/logout/',\",\n \"his or her original place before logging in \\\"\\\"\\\" if g.user: return redirect(url_for('frontends.home'))\",\n \"1 cur_page = int(cur_page) thread_paginator = None # if we are passing in\",\n \"subreddit.name sform.sub_group = subreddit.group if g.user: sform.value=subreddit.name in g.user.subreddit_subs['subs'] form.subs.append_entry(sform) return render_template('subreddits/subs.html', cur_subreddit=None,\",\n \"an id db.session.commit() session['user_id'] = user.id flash('Thanks for signing up! Please confirm your\",\n \"# if we are passing in a resultset, that means we are just\",\n \"in send them home return redirect(url_for('frontends.home')) next = '' if request.method == 'GET':\",\n \"logged in send them home return redirect(url_for('frontends.home')) next = '' if request.method ==\",\n \"= f\\\"base/markdown/{page}.md\\\" if not os.path.exists(page_md): abort(404) with open(page_md, 'r') as f: content =\",\n \"\\\"\\\"\\\"Please visit the link below to confirm your email:\\\\n\\\\n{}{}\\\"\\\"\\\".format(request.url_root.strip(\\\"/\\\"), email_confirm_link), user.email) # Log\",\n \"from base.subreddits.forms import subreddit_subs, sub_form from base.utils.email import send_email from base.utils.misc import random_string,\",\n \"we are passing in a resultset, that means we are just looking to\",\n \"etc) \\\"\\\"\\\" threads_per_page = 15 cur_page = request.args.get('page') or 1 cur_page = int(cur_page)\",\n \"thread_paginator=thread_paginator) @mod.route('/.atom') @mod.route('/.xml') @mod.route('/.rss') def atom_redirect(): return redirect(url_for(\\\"subreddits.atom_feed\\\", subreddit_name=\\\"frontpage\\\")) @mod.route('/h/<string:page>') def render_markdown(page): page_md\",\n \"return redirect(url_for('frontends.home')) next = '' if request.method == 'GET': if 'next' in request.args:\",\n \"email_confirm_link = url_for('frontends.confirm_email', token = user.email_token) email_response = send_email(\\\"Confirm upvote.pub email\\\", \\\"\\\"\\\"Please visit\",\n \"flask import (Blueprint, request, render_template, flash, g, session, redirect, url_for, abort, Markup) from\",\n \"validate password is right if form.validate_on_submit(): # continue where we left off if\",\n \"thread_paginator = rs.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator # sexy line of code :)\",\n \"render_template, flash, g, session, redirect, url_for, abort, Markup) from werkzeug import check_password_hash, generate_password_hash\",\n \"logging in \\\"\\\"\\\" if g.user: return redirect(url_for('frontends.home')) next = '' if request.method ==\",\n \"if form.validate_on_submit(): form_subs = form.data.get('subs') form_subs = list(set([x['sub_name'] for x in form_subs if\",\n \"your email! You can now submit and comment.\\\", 'success') return redirect(url_for('frontends.home')) @mod.route('/register/', methods=['GET',\",\n \"has an id db.session.commit() session['user_id'] = user.id flash('Thanks for signing up! Please confirm\",\n \"g.user.subreddit_subs = {'subs': form_subs} flash(\\\"Updated Subs\\\", 'success') db.session.commit() else: form = subreddit_subs() for\",\n \"email\\\", \\\"\\\"\\\"Please visit the link below to confirm your email:\\\\n\\\\n{}{}\\\"\\\"\\\".format(request.url_root.strip(\\\"/\\\"), email_confirm_link), user.email) #\",\n \"we order by creation date \\\"\\\"\\\" atom_url = url_for('subreddits.atom_feed', subreddit_name='frontpage', _external=True) trending =\",\n \"name from base.users.forms import RegisterForm, LoginForm from base.users.models import User from base.threads.models import\",\n \"Confirm user email \\\"\\\"\\\" user = User.query.filter_by(email_token=token).first() if user.email_token == token: user.email_verified =\",\n \"f.read() md = markdown2.markdown(content, extras = ['fenced-code-blocks', 'nofollow', 'target-blank-links', 'toc', 'tables', 'footnotes', 'metadata',\",\n \"user.email_token) email_response = send_email(\\\"Confirm upvote.pub email\\\", \\\"\\\"\\\"Please visit the link below to confirm\",\n \"users to search threads and comments \\\"\\\"\\\" query = request.args.get('query') page_title=f\\\"Search results for\",\n \"if subreddit else Thread.query # Filter by user subs logger.info(g.user) if g.user: subreddit_subs\",\n \"from base.subreddits.models import Subreddit from base.users.decorators import requires_login from base.utils.user_utils import get_school from\",\n \"to do some extra work to route the user back to his or\",\n \"If not trending we order by creation date \\\"\\\"\\\" atom_url = url_for('subreddits.atom_feed', subreddit_name='frontpage',\",\n \"= request.args.get('query') page_title=f\\\"Search results for '{query}'\\\" rs = search_module.search(query, orderby='creation', search_title=True, search_text=True) thread_paginator\",\n \"process_thread_paginator(trending=False, rs=None, subreddit=None, sort_type='hot'): \\\"\\\"\\\" abstracted because many sources pull from a thread\",\n \"\\\"\\\"\\\" query = request.args.get('query') page_title=f\\\"Search results for '{query}'\\\" rs = search_module.search(query, orderby='creation', search_title=True,\",\n \"email=form.email.data, \\\\ password=generate_password_hash(form.password.data), university=get_school(form.email.data), email_token=random_string()) # Insert the record in our database and\",\n \"form_subs = form.data.get('subs') form_subs = list(set([x['sub_name'] for x in form_subs if x['value']])) g.user.subreddit_subs\",\n \"def search(): \\\"\\\"\\\" Allows users to search threads and comments \\\"\\\"\\\" query =\",\n \"subreddit_subs(request.form) if form.validate_on_submit(): form_subs = form.data.get('subs') form_subs = list(set([x['sub_name'] for x in form_subs\",\n \"# Log the user in, as he now has an id db.session.commit() session['user_id']\",\n \"db.session.commit() session['user_id'] = user.id flash('Thanks for signing up! Please confirm your email by\",\n \"request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) flash('Wrong email or password', 'danger') return\",\n \"a safe place to store the user id session['user_id'] = user.id if 'next'\",\n \"flash('Thanks for signing up! Please confirm your email by following the link sent\",\n \"can now submit and comment.\\\", 'success') return redirect(url_for('frontends.home')) @mod.route('/register/', methods=['GET', 'POST']) def register():\",\n \"'top': base_query = base_query.order_by(db.desc(Thread.votes)) elif sort_type == 'comments': base_query = base_query.order_by(db.desc(Thread.n_comments)) elif sort_type\",\n \"user in, as he now has an id db.session.commit() session['user_id'] = user.id flash('Thanks\",\n \"\\\"\\\"\\\" Allows users to search threads and comments \\\"\\\"\\\" query = request.args.get('query') page_title=f\\\"Search\",\n \"\\\"\\\"\\\" import os import markdown2 from flask import (Blueprint, request, render_template, flash, g,\",\n \"thread_paginator=thread_paginator, num_searches=num_searches) @mod.route('/login/', methods=['GET', 'POST']) def login(): \\\"\\\"\\\" We had to do some\",\n \"yet stored in the database user = User(username=form.username.data, email=form.email.data, \\\\ password=generate_password_hash(form.password.data), university=get_school(form.email.data), email_token=random_string())\",\n \"visit the link below to confirm your email:\\\\n\\\\n{}{}\\\"\\\"\\\".format(request.url_root.strip(\\\"/\\\"), email_confirm_link), user.email) # Log the\",\n \"subs logger.info(g.user) if g.user: subreddit_subs = g.user.subreddit_subs.get('subs') base_query = base_query.join(Subreddit).filter(Subreddit.name.in_(subreddit_subs)) # Sorting if\",\n \"g.user: subreddit_subs = g.user.subreddit_subs.get('subs') base_query = base_query.join(Subreddit).filter(Subreddit.name.in_(subreddit_subs)) # Sorting if sort_type == 'hot':\",\n \"x['value']])) g.user.subreddit_subs = {'subs': form_subs} flash(\\\"Updated Subs\\\", 'success') db.session.commit() else: form = subreddit_subs()\",\n \"return render_template(\\\"register.html\\\", form=form, next=next) @mod.route('/subs/', methods=['GET', 'POST']) def view_all(): \\\"\\\"\\\" \\\"\\\"\\\" subreddit_list =\",\n \"validate_sort_type mod = Blueprint('frontends', __name__, url_prefix='') @mod.before_request def before_request(): g.user = None if\",\n \"def home_subreddit(): logger.info(g.user) if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) \\\\\",\n \"user id session['user_id'] = user.id if 'next' in request.form and request.form['next']: return redirect(request.form['next'])\",\n \"if form.validate_on_submit(): # create an user instance not yet stored in the database\",\n \"== 'hot': base_query = base_query.order_by(db.desc(Thread.hotness)) elif sort_type == 'top': base_query = base_query.order_by(db.desc(Thread.votes)) elif\",\n \"request.form: form = subreddit_subs(request.form) if form.validate_on_submit(): form_subs = form.data.get('subs') form_subs = list(set([x['sub_name'] for\",\n \"redirect(url_for('frontends.home')) @mod.route('/register/', methods=['GET', 'POST']) def register(): \\\"\\\"\\\" Registration page \\\"\\\"\\\" if g.user: #\",\n \"requires_login from base.utils.user_utils import get_school from base.subreddits.forms import subreddit_subs, sub_form from base.utils.email import\",\n \"session['user_id'] = user.id flash('Thanks for signing up! Please confirm your email by following\",\n \"sform.sub_name = subreddit.name sform.sub_group = subreddit.group if g.user: sform.value=subreddit.name in g.user.subreddit_subs['subs'] form.subs.append_entry(sform) return\",\n \"user is logged in send them home return redirect(url_for('frontends.home')) next = '' if\",\n \"'POST']) def view_all(): \\\"\\\"\\\" \\\"\\\"\\\" subreddit_list = Subreddit.query.all() form = None if g.user:\",\n \"\\\"\\\"\\\" \\\"\\\"\\\" subreddit_list = Subreddit.query.all() form = None if g.user: if request.form: form\",\n \"return thread_paginator @mod.route('/') def home(sort_type='hot'): \\\"\\\"\\\" If not trending we order by creation\",\n \"Subs\\\", 'success') db.session.commit() else: form = subreddit_subs() for subreddit in subreddit_list: sform =\",\n \"= markdown2.markdown(content, extras = ['fenced-code-blocks', 'nofollow', 'target-blank-links', 'toc', 'tables', 'footnotes', 'metadata', 'markdown-in-html']) return\",\n \"import markdown2 from flask import (Blueprint, request, render_template, flash, g, session, redirect, url_for,\",\n \"elif sort_type == 'comments': base_query = base_query.order_by(db.desc(Thread.n_comments)) elif sort_type == 'new': base_query =\",\n \"'GET': if 'next' in request.args: next = request.args['next'] form = RegisterForm(request.form) if form.validate_on_submit():\",\n \"request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) return render_template(\\\"register.html\\\", form=form, next=next) @mod.route('/subs/', methods=['GET',\",\n \"@requires_login def logout(): session.pop('user_id', None) return redirect(url_for('frontends.home')) @mod.route('/confirm-email/<string:token>') def confirm_email(token): \\\"\\\"\\\" Confirm user\",\n \"Fetch user subreddits otherwise fetch a list of defaults \\\"\\\"\\\" if g.get('user'): subreddit_subs\",\n \"return render_template('home.html', atom_url=atom_url, page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator) @mod.route('/.atom') @mod.route('/.xml') @mod.route('/.rss') def atom_redirect(): return redirect(url_for(\\\"subreddits.atom_feed\\\",\",\n \"= subreddit_subs() for subreddit in subreddit_list: sform = sub_form() sform.sub_name = subreddit.name sform.sub_group\",\n \"abort(404) with open(page_md, 'r') as f: content = f.read() md = markdown2.markdown(content, extras\",\n \"sort_type == 'comments': base_query = base_query.order_by(db.desc(Thread.n_comments)) elif sort_type == 'new': base_query = base_query.order_by(db.desc(Thread.created_on))\",\n \"elif sort_type == 'new': base_query = base_query.order_by(db.desc(Thread.created_on)) elif sort_type == 'publication_date': base_query =\",\n \"import subreddit_subs, sub_form from base.utils.email import send_email from base.utils.misc import random_string, validate_sort_type mod\",\n \"creation date \\\"\\\"\\\" atom_url = url_for('subreddits.atom_feed', subreddit_name='frontpage', _external=True) trending = True if request.path.endswith('trending')\",\n \"g, session, redirect, url_for, abort, Markup) from werkzeug import check_password_hash, generate_password_hash from logzero\",\n \"g.user = User.query.get(session['user_id']) def home_subreddit(): logger.info(g.user) if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subs =\",\n \"g.user.subreddit_subs.get('subs') subreddits = Subreddit.query.filter(Subreddit.name.in_(subreddit_subs)) else: # Default set of subreddits subreddits = Subreddit.query.all()\",\n \"werzeug to validate user's password if user and check_password_hash(user.password, form.password.data): # the session\",\n \"of defaults \\\"\\\"\\\" if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subreddits = Subreddit.query.filter(Subreddit.name.in_(subreddit_subs)) else: #\",\n \"if 'next' in request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) return render_template(\\\"register.html\\\", form=form,\",\n \"Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) return subs def get_subreddits(): \\\"\\\"\\\" Fetch user subreddits otherwise fetch a\",\n \"= True db.session.commit() flash(\\\"Thank you for confirming your email! You can now submit\",\n \"abstracted because many sources pull from a thread listing source (subreddit permalink, homepage,\",\n \"search as search_module # don't override function name from base.users.forms import RegisterForm, LoginForm\",\n \"her original place before logging in \\\"\\\"\\\" if g.user: return redirect(url_for('frontends.home')) next =\",\n \"database and commit it db.session.add(user) email_confirm_link = url_for('frontends.confirm_email', token = user.email_token) email_response =\",\n \"= None # if we are passing in a resultset, that means we\",\n \"subreddit_list = Subreddit.query.all() form = None if g.user: if request.form: form = subreddit_subs(request.form)\",\n \"sexy line of code :) base_query = subreddit.threads if subreddit else Thread.query #\",\n \"we are just looking to # quickly paginate some arbitrary data, no sorting\",\n \"# Insert the record in our database and commit it db.session.add(user) email_confirm_link =\",\n \"so user = User.query.filter_by(email=form.email.data).first() # we use werzeug to validate user's password if\",\n \"now submit and comment.\\\", 'success') return redirect(url_for('frontends.home')) @mod.route('/register/', methods=['GET', 'POST']) def register(): \\\"\\\"\\\"\",\n \"next=next) @mod.route('/subs/', methods=['GET', 'POST']) def view_all(): \\\"\\\"\\\" \\\"\\\"\\\" subreddit_list = Subreddit.query.all() form =\",\n \"return redirect(url_for(\\\"subreddits.atom_feed\\\", subreddit_name=\\\"frontpage\\\")) @mod.route('/h/<string:page>') def render_markdown(page): page_md = f\\\"base/markdown/{page}.md\\\" if not os.path.exists(page_md): abort(404)\",\n \"from base.users.decorators import requires_login from base.utils.user_utils import get_school from base.subreddits.forms import subreddit_subs, sub_form\",\n \"signed, # it's a safe place to store the user id session['user_id'] =\",\n \"\\\"\\\"\\\" abstracted because many sources pull from a thread listing source (subreddit permalink,\",\n \"\\\"\\\"\\\" atom_url = url_for('subreddits.atom_feed', subreddit_name='frontpage', _external=True) trending = True if request.path.endswith('trending') else False\",\n \"= Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) \\\\ .filter(Subreddit.name.in_(subreddit_subs)) else: subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) return subs def\",\n \"from werkzeug import check_password_hash, generate_password_hash from logzero import logger from base import db,\",\n \"user.email) # Log the user in, as he now has an id db.session.commit()\",\n \"Thread, Publication from base.subreddits.models import Subreddit from base.users.decorators import requires_login from base.utils.user_utils import\",\n \"@mod.route('/register/', methods=['GET', 'POST']) def register(): \\\"\\\"\\\" Registration page \\\"\\\"\\\" if g.user: # If\",\n \"-*- coding: utf-8 -*- \\\"\\\"\\\" \\\"\\\"\\\" import os import markdown2 from flask import\",\n \"means we are just looking to # quickly paginate some arbitrary data, no\",\n \"to validate user's password if user and check_password_hash(user.password, form.password.data): # the session can't\",\n \"from base.utils.misc import random_string, validate_sort_type mod = Blueprint('frontends', __name__, url_prefix='') @mod.before_request def before_request():\",\n \"homepage, etc) \\\"\\\"\\\" threads_per_page = 15 cur_page = request.args.get('page') or 1 cur_page =\",\n \"= 15 cur_page = request.args.get('page') or 1 cur_page = int(cur_page) thread_paginator = None\",\n \"thread_paginator @mod.route('/') def home(sort_type='hot'): \\\"\\\"\\\" If not trending we order by creation date\",\n \"subreddit.threads if subreddit else Thread.query # Filter by user subs logger.info(g.user) if g.user:\",\n \"def logout(): session.pop('user_id', None) return redirect(url_for('frontends.home')) @mod.route('/confirm-email/<string:token>') def confirm_email(token): \\\"\\\"\\\" Confirm user email\",\n \"for x in form_subs if x['value']])) g.user.subreddit_subs = {'subs': form_subs} flash(\\\"Updated Subs\\\", 'success')\",\n \"flash('Wrong email or password', 'danger') return render_template(\\\"login.html\\\", form=form, next=next) @mod.route('/logout/', methods=['GET', 'POST']) @requires_login\",\n \"request.args.get('page') or 1 cur_page = int(cur_page) thread_paginator = None # if we are\",\n \"data, no sorting if rs: thread_paginator = rs.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator #\",\n \"of subreddits subreddits = Subreddit.query.all() return subreddits def process_thread_paginator(trending=False, rs=None, subreddit=None, sort_type='hot'): \\\"\\\"\\\"\",\n \"list of defaults \\\"\\\"\\\" if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subreddits = Subreddit.query.filter(Subreddit.name.in_(subreddit_subs)) else:\",\n \"= base_query.join(Subreddit).filter(Subreddit.name.in_(subreddit_subs)) # Sorting if sort_type == 'hot': base_query = base_query.order_by(db.desc(Thread.hotness)) elif sort_type\",\n \"but doesn't validate password is right if form.validate_on_submit(): # continue where we left\",\n \"def view_all(): \\\"\\\"\\\" \\\"\\\"\\\" subreddit_list = Subreddit.query.all() form = None if g.user: if\",\n \"User from base.threads.models import Thread, Publication from base.subreddits.models import Subreddit from base.users.decorators import\",\n \"subreddit_subs() for subreddit in subreddit_list: sform = sub_form() sform.sub_name = subreddit.name sform.sub_group =\",\n \"['fenced-code-blocks', 'nofollow', 'target-blank-links', 'toc', 'tables', 'footnotes', 'metadata', 'markdown-in-html']) return render_template('markdown.html', page=md, **md.metadata) @mod.route('/search/',\",\n \"session, redirect, url_for, abort, Markup) from werkzeug import check_password_hash, generate_password_hash from logzero import\",\n \"in request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) return render_template(\\\"register.html\\\", form=form, next=next) @mod.route('/subs/',\",\n \"form_subs} flash(\\\"Updated Subs\\\", 'success') db.session.commit() else: form = subreddit_subs() for subreddit in subreddit_list:\",\n \"import User from base.threads.models import Thread, Publication from base.subreddits.models import Subreddit from base.users.decorators\",\n \"Subreddit from base.users.decorators import requires_login from base.utils.user_utils import get_school from base.subreddits.forms import subreddit_subs,\",\n \"= user.id flash('Thanks for signing up! Please confirm your email by following the\",\n \"g.user.subreddit_subs.get('subs') subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) \\\\ .filter(Subreddit.name.in_(subreddit_subs)) else: subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) return\",\n \"the user id session['user_id'] = user.id if 'next' in request.form and request.form['next']: return\",\n \"home(sort_type='hot'): \\\"\\\"\\\" If not trending we order by creation date \\\"\\\"\\\" atom_url =\",\n \"stored in the database user = User(username=form.username.data, email=form.email.data, \\\\ password=generate_password_hash(form.password.data), university=get_school(form.email.data), email_token=random_string()) #\",\n \"import db, app from base import search as search_module # don't override function\",\n \"email by following the link sent in the confirmation email.', 'success') if 'next'\",\n \"base_query.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator @mod.route('/') def home(sort_type='hot'): \\\"\\\"\\\" If not trending we\",\n \"= Subreddit.query.all() return subreddits def process_thread_paginator(trending=False, rs=None, subreddit=None, sort_type='hot'): \\\"\\\"\\\" abstracted because many\",\n \"subreddits = get_subreddits() return render_template('home.html', page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator, num_searches=num_searches) @mod.route('/login/', methods=['GET', 'POST']) def\",\n \"if request.form: form = subreddit_subs(request.form) if form.validate_on_submit(): form_subs = form.data.get('subs') form_subs = list(set([x['sub_name']\",\n \"def register(): \\\"\\\"\\\" Registration page \\\"\\\"\\\" if g.user: # If the user is\",\n \"or password', 'danger') return render_template(\\\"login.html\\\", form=form, next=next) @mod.route('/logout/', methods=['GET', 'POST']) @requires_login def logout():\",\n \"'nofollow', 'target-blank-links', 'toc', 'tables', 'footnotes', 'metadata', 'markdown-in-html']) return render_template('markdown.html', page=md, **md.metadata) @mod.route('/search/', methods=['GET'])\",\n \"request, render_template, flash, g, session, redirect, url_for, abort, Markup) from werkzeug import check_password_hash,\",\n \"base.utils.user_utils import get_school from base.subreddits.forms import subreddit_subs, sub_form from base.utils.email import send_email from\",\n \"if rs: thread_paginator = rs.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator # sexy line of\",\n \"form.validate_on_submit(): form_subs = form.data.get('subs') form_subs = list(set([x['sub_name'] for x in form_subs if x['value']]))\",\n \"db.desc(Thread.hotness)) \\\\ .filter(Subreddit.name.in_(subreddit_subs)) else: subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) return subs def get_subreddits(): \\\"\\\"\\\"\",\n \"# don't override function name from base.users.forms import RegisterForm, LoginForm from base.users.models import\",\n \"from base.utils.email import send_email from base.utils.misc import random_string, validate_sort_type mod = Blueprint('frontends', __name__,\",\n \"left off if so user = User.query.filter_by(email=form.email.data).first() # we use werzeug to validate\",\n \"with open(page_md, 'r') as f: content = f.read() md = markdown2.markdown(content, extras =\",\n \"Sorting if sort_type == 'hot': base_query = base_query.order_by(db.desc(Thread.hotness)) elif sort_type == 'top': base_query\",\n \"form = subreddit_subs() for subreddit in subreddit_list: sform = sub_form() sform.sub_name = subreddit.name\",\n \"thread_paginator = base_query.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator @mod.route('/') def home(sort_type='hot'): \\\"\\\"\\\" If not\",\n \"return render_template('home.html', page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator, num_searches=num_searches) @mod.route('/login/', methods=['GET', 'POST']) def login(): \\\"\\\"\\\" We\",\n \"safe place to store the user id session['user_id'] = user.id if 'next' in\",\n \"User.query.filter_by(email_token=token).first() if user.email_token == token: user.email_verified = True db.session.commit() flash(\\\"Thank you for confirming\",\n \"import RegisterForm, LoginForm from base.users.models import User from base.threads.models import Thread, Publication from\",\n \"paginate some arbitrary data, no sorting if rs: thread_paginator = rs.paginate(cur_page, per_page=threads_per_page, error_out=True)\",\n \"else \\\"Frontpage\\\" thread_paginator = process_thread_paginator(trending=trending) return render_template('home.html', atom_url=atom_url, page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator) @mod.route('/.atom') @mod.route('/.xml')\",\n \"are just looking to # quickly paginate some arbitrary data, no sorting if\",\n \"render_template(\\\"register.html\\\", form=form, next=next) @mod.route('/subs/', methods=['GET', 'POST']) def view_all(): \\\"\\\"\\\" \\\"\\\"\\\" subreddit_list = Subreddit.query.all()\",\n \"get_subreddits() return render_template('home.html', page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator, num_searches=num_searches) @mod.route('/login/', methods=['GET', 'POST']) def login(): \\\"\\\"\\\"\",\n \"def confirm_email(token): \\\"\\\"\\\" Confirm user email \\\"\\\"\\\" user = User.query.filter_by(email_token=token).first() if user.email_token ==\",\n \"We had to do some extra work to route the user back to\",\n \"None if g.user: if request.form: form = subreddit_subs(request.form) if form.validate_on_submit(): form_subs = form.data.get('subs')\",\n \"form_subs = list(set([x['sub_name'] for x in form_subs if x['value']])) g.user.subreddit_subs = {'subs': form_subs}\",\n \"= request.args['next'] form = LoginForm(request.form) # make sure data is valid, but doesn't\",\n \"instance not yet stored in the database user = User(username=form.username.data, email=form.email.data, \\\\ password=generate_password_hash(form.password.data),\",\n \"base.utils.misc import random_string, validate_sort_type mod = Blueprint('frontends', __name__, url_prefix='') @mod.before_request def before_request(): g.user\",\n \"= True if request.path.endswith('trending') else False page_title = \\\"Trending\\\" if trending else \\\"Frontpage\\\"\",\n \"Please confirm your email by following the link sent in the confirmation email.',\",\n \"subreddit_list: sform = sub_form() sform.sub_name = subreddit.name sform.sub_group = subreddit.group if g.user: sform.value=subreddit.name\",\n \"def process_thread_paginator(trending=False, rs=None, subreddit=None, sort_type='hot'): \\\"\\\"\\\" abstracted because many sources pull from a\",\n \"import Subreddit from base.users.decorators import requires_login from base.utils.user_utils import get_school from base.subreddits.forms import\",\n \"= base_query.order_by(db.desc(Thread.votes)) elif sort_type == 'comments': base_query = base_query.order_by(db.desc(Thread.n_comments)) elif sort_type == 'new':\",\n \"'POST']) def register(): \\\"\\\"\\\" Registration page \\\"\\\"\\\" if g.user: # If the user\",\n \"subreddit_subs = g.user.subreddit_subs.get('subs') subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) \\\\ .filter(Subreddit.name.in_(subreddit_subs)) else: subs = Thread.query.order_by(db.desc(Thread.hotness),\",\n \"subreddits subreddits = Subreddit.query.all() return subreddits def process_thread_paginator(trending=False, rs=None, subreddit=None, sort_type='hot'): \\\"\\\"\\\" abstracted\",\n \"as f: content = f.read() md = markdown2.markdown(content, extras = ['fenced-code-blocks', 'nofollow', 'target-blank-links',\",\n \"g.user: # If the user is logged in send them home return redirect(url_for('frontends.home'))\",\n \"form.password.data): # the session can't be modified as it's signed, # it's a\",\n \"\\\\ password=generate_password_hash(form.password.data), university=get_school(form.email.data), email_token=random_string()) # Insert the record in our database and commit\",\n \"base.users.forms import RegisterForm, LoginForm from base.users.models import User from base.threads.models import Thread, Publication\",\n \"int(cur_page) thread_paginator = None # if we are passing in a resultset, that\",\n \"= RegisterForm(request.form) if form.validate_on_submit(): # create an user instance not yet stored in\",\n \"it db.session.add(user) email_confirm_link = url_for('frontends.confirm_email', token = user.email_token) email_response = send_email(\\\"Confirm upvote.pub email\\\",\",\n \"set of subreddits subreddits = Subreddit.query.all() return subreddits def process_thread_paginator(trending=False, rs=None, subreddit=None, sort_type='hot'):\",\n \"= process_thread_paginator(rs=rs) #rs = rs.all() num_searches = rs.count() subreddits = get_subreddits() return render_template('home.html',\",\n \"return render_template('markdown.html', page=md, **md.metadata) @mod.route('/search/', methods=['GET']) def search(): \\\"\\\"\\\" Allows users to search\",\n \"rs = search_module.search(query, orderby='creation', search_title=True, search_text=True) thread_paginator = process_thread_paginator(rs=rs) #rs = rs.all() num_searches\",\n \"# it's a safe place to store the user id session['user_id'] = user.id\",\n \"= request.args['next'] form = RegisterForm(request.form) if form.validate_on_submit(): # create an user instance not\",\n \"the user in, as he now has an id db.session.commit() session['user_id'] = user.id\",\n \"= sub_form() sform.sub_name = subreddit.name sform.sub_group = subreddit.group if g.user: sform.value=subreddit.name in g.user.subreddit_subs['subs']\",\n \"= rs.count() subreddits = get_subreddits() return render_template('home.html', page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator, num_searches=num_searches) @mod.route('/login/', methods=['GET',\",\n \"record in our database and commit it db.session.add(user) email_confirm_link = url_for('frontends.confirm_email', token =\",\n \"def home(sort_type='hot'): \\\"\\\"\\\" If not trending we order by creation date \\\"\\\"\\\" atom_url\",\n \"process_thread_paginator(rs=rs) #rs = rs.all() num_searches = rs.count() subreddits = get_subreddits() return render_template('home.html', page_title=page_title,\",\n \"redirect(url_for('frontends.home')) flash('Wrong email or password', 'danger') return render_template(\\\"login.html\\\", form=form, next=next) @mod.route('/logout/', methods=['GET', 'POST'])\",\n \"else Thread.query # Filter by user subs logger.info(g.user) if g.user: subreddit_subs = g.user.subreddit_subs.get('subs')\",\n \"doesn't validate password is right if form.validate_on_submit(): # continue where we left off\",\n \"'success') db.session.commit() else: form = subreddit_subs() for subreddit in subreddit_list: sform = sub_form()\",\n \"continue where we left off if so user = User.query.filter_by(email=form.email.data).first() # we use\",\n \"form = subreddit_subs(request.form) if form.validate_on_submit(): form_subs = form.data.get('subs') form_subs = list(set([x['sub_name'] for x\",\n \"subreddit_subs = g.user.subreddit_subs.get('subs') base_query = base_query.join(Subreddit).filter(Subreddit.name.in_(subreddit_subs)) # Sorting if sort_type == 'hot': base_query\",\n \"per_page=threads_per_page, error_out=True) return thread_paginator @mod.route('/') def home(sort_type='hot'): \\\"\\\"\\\" If not trending we order\",\n \"= None if session.get('user_id'): g.user = User.query.get(session['user_id']) def home_subreddit(): logger.info(g.user) if g.get('user'): subreddit_subs\",\n \"otherwise fetch a list of defaults \\\"\\\"\\\" if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subreddits\",\n \"cur_page = request.args.get('page') or 1 cur_page = int(cur_page) thread_paginator = None # if\",\n \"= subreddit.name sform.sub_group = subreddit.group if g.user: sform.value=subreddit.name in g.user.subreddit_subs['subs'] form.subs.append_entry(sform) return render_template('subreddits/subs.html',\",\n \"from base.users.models import User from base.threads.models import Thread, Publication from base.subreddits.models import Subreddit\",\n \"them home return redirect(url_for('frontends.home')) next = '' if request.method == 'GET': if 'next'\",\n \"or her original place before logging in \\\"\\\"\\\" if g.user: return redirect(url_for('frontends.home')) next\",\n \"from logzero import logger from base import db, app from base import search\",\n \"get_school from base.subreddits.forms import subreddit_subs, sub_form from base.utils.email import send_email from base.utils.misc import\",\n \"had to do some extra work to route the user back to his\",\n \"cur_subreddit=home_subreddit(), thread_paginator=thread_paginator) @mod.route('/.atom') @mod.route('/.xml') @mod.route('/.rss') def atom_redirect(): return redirect(url_for(\\\"subreddits.atom_feed\\\", subreddit_name=\\\"frontpage\\\")) @mod.route('/h/<string:page>') def render_markdown(page):\",\n \"send_email from base.utils.misc import random_string, validate_sort_type mod = Blueprint('frontends', __name__, url_prefix='') @mod.before_request def\",\n \"send them home return redirect(url_for('frontends.home')) next = '' if request.method == 'GET': if\",\n \"= base_query.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator @mod.route('/') def home(sort_type='hot'): \\\"\\\"\\\" If not trending\",\n \"= {'subs': form_subs} flash(\\\"Updated Subs\\\", 'success') db.session.commit() else: form = subreddit_subs() for subreddit\",\n \"base_query = base_query.join(Publication).order_by(db.desc(Publication.pub_date)) thread_paginator = base_query.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator @mod.route('/') def home(sort_type='hot'):\",\n \"not os.path.exists(page_md): abort(404) with open(page_md, 'r') as f: content = f.read() md =\",\n \"= process_thread_paginator(trending=trending) return render_template('home.html', atom_url=atom_url, page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator) @mod.route('/.atom') @mod.route('/.xml') @mod.route('/.rss') def atom_redirect():\",\n \"request.method == 'GET': if 'next' in request.args: next = request.args['next'] form = RegisterForm(request.form)\",\n \"sources pull from a thread listing source (subreddit permalink, homepage, etc) \\\"\\\"\\\" threads_per_page\",\n \"user subreddits otherwise fetch a list of defaults \\\"\\\"\\\" if g.get('user'): subreddit_subs =\",\n \"by creation date \\\"\\\"\\\" atom_url = url_for('subreddits.atom_feed', subreddit_name='frontpage', _external=True) trending = True if\",\n \"flash, g, session, redirect, url_for, abort, Markup) from werkzeug import check_password_hash, generate_password_hash from\",\n \"\\\\ .filter(Subreddit.name.in_(subreddit_subs)) else: subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) return subs def get_subreddits(): \\\"\\\"\\\" Fetch\",\n \"'' if request.method == 'GET': if 'next' in request.args: next = request.args['next'] form\",\n \"request.args: next = request.args['next'] form = LoginForm(request.form) # make sure data is valid,\",\n \"base_query.order_by(db.desc(Thread.votes)) elif sort_type == 'comments': base_query = base_query.order_by(db.desc(Thread.n_comments)) elif sort_type == 'new': base_query\",\n \"search threads and comments \\\"\\\"\\\" query = request.args.get('query') page_title=f\\\"Search results for '{query}'\\\" rs\",\n \"\\\"\\\"\\\" We had to do some extra work to route the user back\",\n \"= base_query.join(Publication).order_by(db.desc(Publication.pub_date)) thread_paginator = base_query.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator @mod.route('/') def home(sort_type='hot'): \\\"\\\"\\\"\",\n \"page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator) @mod.route('/.atom') @mod.route('/.xml') @mod.route('/.rss') def atom_redirect(): return redirect(url_for(\\\"subreddits.atom_feed\\\", subreddit_name=\\\"frontpage\\\")) @mod.route('/h/<string:page>') def\",\n \"if session.get('user_id'): g.user = User.query.get(session['user_id']) def home_subreddit(): logger.info(g.user) if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs')\",\n \"@mod.route('/.xml') @mod.route('/.rss') def atom_redirect(): return redirect(url_for(\\\"subreddits.atom_feed\\\", subreddit_name=\\\"frontpage\\\")) @mod.route('/h/<string:page>') def render_markdown(page): page_md = f\\\"base/markdown/{page}.md\\\"\",\n \"md = markdown2.markdown(content, extras = ['fenced-code-blocks', 'nofollow', 'target-blank-links', 'toc', 'tables', 'footnotes', 'metadata', 'markdown-in-html'])\",\n \"import (Blueprint, request, render_template, flash, g, session, redirect, url_for, abort, Markup) from werkzeug\",\n \"@mod.route('/logout/', methods=['GET', 'POST']) @requires_login def logout(): session.pop('user_id', None) return redirect(url_for('frontends.home')) @mod.route('/confirm-email/<string:token>') def confirm_email(token):\",\n \"if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subreddits = Subreddit.query.filter(Subreddit.name.in_(subreddit_subs)) else: # Default set of\",\n \"and comments \\\"\\\"\\\" query = request.args.get('query') page_title=f\\\"Search results for '{query}'\\\" rs = search_module.search(query,\",\n \"redirect(url_for('frontends.home')) return render_template(\\\"register.html\\\", form=form, next=next) @mod.route('/subs/', methods=['GET', 'POST']) def view_all(): \\\"\\\"\\\" \\\"\\\"\\\" subreddit_list\",\n \"because many sources pull from a thread listing source (subreddit permalink, homepage, etc)\",\n \"= url_for('subreddits.atom_feed', subreddit_name='frontpage', _external=True) trending = True if request.path.endswith('trending') else False page_title =\",\n \"email:\\\\n\\\\n{}{}\\\"\\\"\\\".format(request.url_root.strip(\\\"/\\\"), email_confirm_link), user.email) # Log the user in, as he now has an\",\n \"import get_school from base.subreddits.forms import subreddit_subs, sub_form from base.utils.email import send_email from base.utils.misc\",\n \"= request.args.get('page') or 1 cur_page = int(cur_page) thread_paginator = None # if we\",\n \"id session['user_id'] = user.id if 'next' in request.form and request.form['next']: return redirect(request.form['next']) return\",\n \"be modified as it's signed, # it's a safe place to store the\",\n \"werkzeug import check_password_hash, generate_password_hash from logzero import logger from base import db, app\",\n \"and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) return render_template(\\\"register.html\\\", form=form, next=next) @mod.route('/subs/', methods=['GET', 'POST'])\",\n \"in, as he now has an id db.session.commit() session['user_id'] = user.id flash('Thanks for\",\n \"'{query}'\\\" rs = search_module.search(query, orderby='creation', search_title=True, search_text=True) thread_paginator = process_thread_paginator(rs=rs) #rs = rs.all()\",\n \"g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) \\\\ .filter(Subreddit.name.in_(subreddit_subs)) else: subs =\",\n \"redirect(url_for('frontends.home')) @mod.route('/confirm-email/<string:token>') def confirm_email(token): \\\"\\\"\\\" Confirm user email \\\"\\\"\\\" user = User.query.filter_by(email_token=token).first() if\",\n \"== 'new': base_query = base_query.order_by(db.desc(Thread.created_on)) elif sort_type == 'publication_date': base_query = base_query.join(Publication).order_by(db.desc(Publication.pub_date)) thread_paginator\",\n \"None if session.get('user_id'): g.user = User.query.get(session['user_id']) def home_subreddit(): logger.info(g.user) if g.get('user'): subreddit_subs =\",\n \"to search threads and comments \\\"\\\"\\\" query = request.args.get('query') page_title=f\\\"Search results for '{query}'\\\"\",\n \"not trending we order by creation date \\\"\\\"\\\" atom_url = url_for('subreddits.atom_feed', subreddit_name='frontpage', _external=True)\",\n \"= subreddit.group if g.user: sform.value=subreddit.name in g.user.subreddit_subs['subs'] form.subs.append_entry(sform) return render_template('subreddits/subs.html', cur_subreddit=None, page_title='subs', form=form,\",\n \"search_text=True) thread_paginator = process_thread_paginator(rs=rs) #rs = rs.all() num_searches = rs.count() subreddits = get_subreddits()\",\n \"page \\\"\\\"\\\" if g.user: # If the user is logged in send them\",\n \"request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) return render_template(\\\"register.html\\\", form=form, next=next) @mod.route('/subs/', methods=['GET', 'POST']) def\",\n \"search_title=True, search_text=True) thread_paginator = process_thread_paginator(rs=rs) #rs = rs.all() num_searches = rs.count() subreddits =\",\n \"Publication from base.subreddits.models import Subreddit from base.users.decorators import requires_login from base.utils.user_utils import get_school\",\n \"threads_per_page = 15 cur_page = request.args.get('page') or 1 cur_page = int(cur_page) thread_paginator =\",\n \"return thread_paginator # sexy line of code :) base_query = subreddit.threads if subreddit\",\n \"link sent in the confirmation email.', 'success') if 'next' in request.form and request.form['next']:\",\n \"# the session can't be modified as it's signed, # it's a safe\",\n \"for '{query}'\\\" rs = search_module.search(query, orderby='creation', search_title=True, search_text=True) thread_paginator = process_thread_paginator(rs=rs) #rs =\",\n \"the database user = User(username=form.username.data, email=form.email.data, \\\\ password=generate_password_hash(form.password.data), university=get_school(form.email.data), email_token=random_string()) # Insert the\",\n \"== 'top': base_query = base_query.order_by(db.desc(Thread.votes)) elif sort_type == 'comments': base_query = base_query.order_by(db.desc(Thread.n_comments)) elif\",\n \"subreddit_name=\\\"frontpage\\\")) @mod.route('/h/<string:page>') def render_markdown(page): page_md = f\\\"base/markdown/{page}.md\\\" if not os.path.exists(page_md): abort(404) with open(page_md,\",\n \"== token: user.email_verified = True db.session.commit() flash(\\\"Thank you for confirming your email! You\",\n \"from base.threads.models import Thread, Publication from base.subreddits.models import Subreddit from base.users.decorators import requires_login\",\n \"# Default set of subreddits subreddits = Subreddit.query.all() return subreddits def process_thread_paginator(trending=False, rs=None,\",\n \"subreddits = Subreddit.query.all() return subreddits def process_thread_paginator(trending=False, rs=None, subreddit=None, sort_type='hot'): \\\"\\\"\\\" abstracted because\",\n \"@mod.route('/confirm-email/<string:token>') def confirm_email(token): \\\"\\\"\\\" Confirm user email \\\"\\\"\\\" user = User.query.filter_by(email_token=token).first() if user.email_token\",\n \"password=generate_password_hash(form.password.data), university=get_school(form.email.data), email_token=random_string()) # Insert the record in our database and commit it\",\n \"g.user = None if session.get('user_id'): g.user = User.query.get(session['user_id']) def home_subreddit(): logger.info(g.user) if g.get('user'):\",\n \"is logged in send them home return redirect(url_for('frontends.home')) next = '' if request.method\",\n \"token: user.email_verified = True db.session.commit() flash(\\\"Thank you for confirming your email! You can\",\n \"User(username=form.username.data, email=form.email.data, \\\\ password=generate_password_hash(form.password.data), university=get_school(form.email.data), email_token=random_string()) # Insert the record in our database\",\n \"\\\"\\\"\\\" subreddit_list = Subreddit.query.all() form = None if g.user: if request.form: form =\",\n \"logger.info(g.user) if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) \\\\ .filter(Subreddit.name.in_(subreddit_subs)) else:\",\n \"the confirmation email.', 'success') if 'next' in request.form and request.form['next']: return redirect(request.form['next']) return\",\n \"not yet stored in the database user = User(username=form.username.data, email=form.email.data, \\\\ password=generate_password_hash(form.password.data), university=get_school(form.email.data),\",\n \"email \\\"\\\"\\\" user = User.query.filter_by(email_token=token).first() if user.email_token == token: user.email_verified = True db.session.commit()\",\n \"trending we order by creation date \\\"\\\"\\\" atom_url = url_for('subreddits.atom_feed', subreddit_name='frontpage', _external=True) trending\",\n \"user's password if user and check_password_hash(user.password, form.password.data): # the session can't be modified\",\n \"sent in the confirmation email.', 'success') if 'next' in request.form and request.form['next']: return\",\n \"base import db, app from base import search as search_module # don't override\",\n \"== 'comments': base_query = base_query.order_by(db.desc(Thread.n_comments)) elif sort_type == 'new': base_query = base_query.order_by(db.desc(Thread.created_on)) elif\",\n \"'GET': if 'next' in request.args: next = request.args['next'] form = LoginForm(request.form) # make\",\n \"# quickly paginate some arbitrary data, no sorting if rs: thread_paginator = rs.paginate(cur_page,\",\n \"an user instance not yet stored in the database user = User(username=form.username.data, email=form.email.data,\",\n \"confirm your email:\\\\n\\\\n{}{}\\\"\\\"\\\".format(request.url_root.strip(\\\"/\\\"), email_confirm_link), user.email) # Log the user in, as he now\",\n \"if x['value']])) g.user.subreddit_subs = {'subs': form_subs} flash(\\\"Updated Subs\\\", 'success') db.session.commit() else: form =\",\n \"page_md = f\\\"base/markdown/{page}.md\\\" if not os.path.exists(page_md): abort(404) with open(page_md, 'r') as f: content\",\n \"sure data is valid, but doesn't validate password is right if form.validate_on_submit(): #\",\n \"from base import search as search_module # don't override function name from base.users.forms\",\n \"subs def get_subreddits(): \\\"\\\"\\\" Fetch user subreddits otherwise fetch a list of defaults\",\n \"url_for('frontends.confirm_email', token = user.email_token) email_response = send_email(\\\"Confirm upvote.pub email\\\", \\\"\\\"\\\"Please visit the link\",\n \"Default set of subreddits subreddits = Subreddit.query.all() return subreddits def process_thread_paginator(trending=False, rs=None, subreddit=None,\",\n \"id db.session.commit() session['user_id'] = user.id flash('Thanks for signing up! Please confirm your email\",\n \"methods=['GET', 'POST']) def login(): \\\"\\\"\\\" We had to do some extra work to\",\n \"\\\"\\\"\\\" user = User.query.filter_by(email_token=token).first() if user.email_token == token: user.email_verified = True db.session.commit() flash(\\\"Thank\",\n \"Insert the record in our database and commit it db.session.add(user) email_confirm_link = url_for('frontends.confirm_email',\",\n \"False page_title = \\\"Trending\\\" if trending else \\\"Frontpage\\\" thread_paginator = process_thread_paginator(trending=trending) return render_template('home.html',\",\n \"'next' in request.args: next = request.args['next'] form = RegisterForm(request.form) if form.validate_on_submit(): # create\",\n \"base.utils.email import send_email from base.utils.misc import random_string, validate_sort_type mod = Blueprint('frontends', __name__, url_prefix='')\",\n \"some arbitrary data, no sorting if rs: thread_paginator = rs.paginate(cur_page, per_page=threads_per_page, error_out=True) return\",\n \"= g.user.subreddit_subs.get('subs') base_query = base_query.join(Subreddit).filter(Subreddit.name.in_(subreddit_subs)) # Sorting if sort_type == 'hot': base_query =\",\n \"base.subreddits.models import Subreddit from base.users.decorators import requires_login from base.utils.user_utils import get_school from base.subreddits.forms\",\n \"sub_form from base.utils.email import send_email from base.utils.misc import random_string, validate_sort_type mod = Blueprint('frontends',\",\n \"page=md, **md.metadata) @mod.route('/search/', methods=['GET']) def search(): \\\"\\\"\\\" Allows users to search threads and\",\n \"extra work to route the user back to his or her original place\",\n \"sort_type='hot'): \\\"\\\"\\\" abstracted because many sources pull from a thread listing source (subreddit\",\n \"resultset, that means we are just looking to # quickly paginate some arbitrary\",\n \"base_query = base_query.join(Subreddit).filter(Subreddit.name.in_(subreddit_subs)) # Sorting if sort_type == 'hot': base_query = base_query.order_by(db.desc(Thread.hotness)) elif\",\n \"base_query = base_query.order_by(db.desc(Thread.hotness)) elif sort_type == 'top': base_query = base_query.order_by(db.desc(Thread.votes)) elif sort_type ==\",\n \"are passing in a resultset, that means we are just looking to #\",\n \"a resultset, that means we are just looking to # quickly paginate some\",\n \"Blueprint('frontends', __name__, url_prefix='') @mod.before_request def before_request(): g.user = None if session.get('user_id'): g.user =\",\n \"rs=None, subreddit=None, sort_type='hot'): \\\"\\\"\\\" abstracted because many sources pull from a thread listing\",\n \"next = request.args['next'] form = RegisterForm(request.form) if form.validate_on_submit(): # create an user instance\",\n \"our database and commit it db.session.add(user) email_confirm_link = url_for('frontends.confirm_email', token = user.email_token) email_response\",\n \"'markdown-in-html']) return render_template('markdown.html', page=md, **md.metadata) @mod.route('/search/', methods=['GET']) def search(): \\\"\\\"\\\" Allows users to\",\n \"cur_subreddit=home_subreddit(), thread_paginator=thread_paginator, num_searches=num_searches) @mod.route('/login/', methods=['GET', 'POST']) def login(): \\\"\\\"\\\" We had to do\",\n \"user and check_password_hash(user.password, form.password.data): # the session can't be modified as it's signed,\",\n \"now has an id db.session.commit() session['user_id'] = user.id flash('Thanks for signing up! Please\",\n \"quickly paginate some arbitrary data, no sorting if rs: thread_paginator = rs.paginate(cur_page, per_page=threads_per_page,\",\n \"subreddit else Thread.query # Filter by user subs logger.info(g.user) if g.user: subreddit_subs =\",\n \"page_title = \\\"Trending\\\" if trending else \\\"Frontpage\\\" thread_paginator = process_thread_paginator(trending=trending) return render_template('home.html', atom_url=atom_url,\",\n \"@mod.route('/login/', methods=['GET', 'POST']) def login(): \\\"\\\"\\\" We had to do some extra work\",\n \"if so user = User.query.filter_by(email=form.email.data).first() # we use werzeug to validate user's password\",\n \"subreddit_name='frontpage', _external=True) trending = True if request.path.endswith('trending') else False page_title = \\\"Trending\\\" if\",\n \"fetch a list of defaults \\\"\\\"\\\" if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subreddits =\",\n \"in the confirmation email.', 'success') if 'next' in request.form and request.form['next']: return redirect(request.form['next'])\",\n \"subreddit.group if g.user: sform.value=subreddit.name in g.user.subreddit_subs['subs'] form.subs.append_entry(sform) return render_template('subreddits/subs.html', cur_subreddit=None, page_title='subs', form=form, subreddit_list=subreddit_list)\",\n \"source (subreddit permalink, homepage, etc) \\\"\\\"\\\" threads_per_page = 15 cur_page = request.args.get('page') or\",\n \"in a resultset, that means we are just looking to # quickly paginate\",\n \"user email \\\"\\\"\\\" user = User.query.filter_by(email_token=token).first() if user.email_token == token: user.email_verified = True\",\n \"off if so user = User.query.filter_by(email=form.email.data).first() # we use werzeug to validate user's\",\n \"base.subreddits.forms import subreddit_subs, sub_form from base.utils.email import send_email from base.utils.misc import random_string, validate_sort_type\",\n \"utf-8 -*- \\\"\\\"\\\" \\\"\\\"\\\" import os import markdown2 from flask import (Blueprint, request,\",\n \"abort, Markup) from werkzeug import check_password_hash, generate_password_hash from logzero import logger from base\",\n \"user = User.query.filter_by(email_token=token).first() if user.email_token == token: user.email_verified = True db.session.commit() flash(\\\"Thank you\",\n \"'hot': base_query = base_query.order_by(db.desc(Thread.hotness)) elif sort_type == 'top': base_query = base_query.order_by(db.desc(Thread.votes)) elif sort_type\",\n \"flash(\\\"Thank you for confirming your email! You can now submit and comment.\\\", 'success')\",\n \"db.session.add(user) email_confirm_link = url_for('frontends.confirm_email', token = user.email_token) email_response = send_email(\\\"Confirm upvote.pub email\\\", \\\"\\\"\\\"Please\",\n \"function name from base.users.forms import RegisterForm, LoginForm from base.users.models import User from base.threads.models\",\n \"mod = Blueprint('frontends', __name__, url_prefix='') @mod.before_request def before_request(): g.user = None if session.get('user_id'):\",\n \"the link below to confirm your email:\\\\n\\\\n{}{}\\\"\\\"\\\".format(request.url_root.strip(\\\"/\\\"), email_confirm_link), user.email) # Log the user\",\n \"\\\"\\\"\\\" Fetch user subreddits otherwise fetch a list of defaults \\\"\\\"\\\" if g.get('user'):\",\n \"'comments': base_query = base_query.order_by(db.desc(Thread.n_comments)) elif sort_type == 'new': base_query = base_query.order_by(db.desc(Thread.created_on)) elif sort_type\",\n \"form.validate_on_submit(): # continue where we left off if so user = User.query.filter_by(email=form.email.data).first() #\",\n \"thread_paginator = None # if we are passing in a resultset, that means\",\n \"page_title=f\\\"Search results for '{query}'\\\" rs = search_module.search(query, orderby='creation', search_title=True, search_text=True) thread_paginator = process_thread_paginator(rs=rs)\",\n \"return redirect(url_for('frontends.home')) @mod.route('/confirm-email/<string:token>') def confirm_email(token): \\\"\\\"\\\" Confirm user email \\\"\\\"\\\" user = User.query.filter_by(email_token=token).first()\",\n \"Markup) from werkzeug import check_password_hash, generate_password_hash from logzero import logger from base import\",\n \"sort_type == 'hot': base_query = base_query.order_by(db.desc(Thread.hotness)) elif sort_type == 'top': base_query = base_query.order_by(db.desc(Thread.votes))\",\n \"subreddit=None, sort_type='hot'): \\\"\\\"\\\" abstracted because many sources pull from a thread listing source\",\n \"order by creation date \\\"\\\"\\\" atom_url = url_for('subreddits.atom_feed', subreddit_name='frontpage', _external=True) trending = True\",\n \"permalink, homepage, etc) \\\"\\\"\\\" threads_per_page = 15 cur_page = request.args.get('page') or 1 cur_page\",\n \"# -*- coding: utf-8 -*- \\\"\\\"\\\" \\\"\\\"\\\" import os import markdown2 from flask\",\n \"if sort_type == 'hot': base_query = base_query.order_by(db.desc(Thread.hotness)) elif sort_type == 'top': base_query =\",\n \"modified as it's signed, # it's a safe place to store the user\",\n \"store the user id session['user_id'] = user.id if 'next' in request.form and request.form['next']:\",\n \"# Filter by user subs logger.info(g.user) if g.user: subreddit_subs = g.user.subreddit_subs.get('subs') base_query =\",\n \"url_for, abort, Markup) from werkzeug import check_password_hash, generate_password_hash from logzero import logger from\",\n \"= int(cur_page) thread_paginator = None # if we are passing in a resultset,\",\n \"thread_paginator = process_thread_paginator(rs=rs) #rs = rs.all() num_searches = rs.count() subreddits = get_subreddits() return\",\n \"user = User(username=form.username.data, email=form.email.data, \\\\ password=generate_password_hash(form.password.data), university=get_school(form.email.data), email_token=random_string()) # Insert the record in\",\n \"register(): \\\"\\\"\\\" Registration page \\\"\\\"\\\" if g.user: # If the user is logged\",\n \"'next' in request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) return render_template(\\\"register.html\\\", form=form, next=next)\",\n \"True db.session.commit() flash(\\\"Thank you for confirming your email! You can now submit and\",\n \"and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) flash('Wrong email or password', 'danger') return render_template(\\\"login.html\\\",\",\n \"import logger from base import db, app from base import search as search_module\",\n \"= url_for('frontends.confirm_email', token = user.email_token) email_response = send_email(\\\"Confirm upvote.pub email\\\", \\\"\\\"\\\"Please visit the\",\n \"confirm_email(token): \\\"\\\"\\\" Confirm user email \\\"\\\"\\\" user = User.query.filter_by(email_token=token).first() if user.email_token == token:\",\n \"email_token=random_string()) # Insert the record in our database and commit it db.session.add(user) email_confirm_link\",\n \"do some extra work to route the user back to his or her\",\n \"subreddits = Subreddit.query.filter(Subreddit.name.in_(subreddit_subs)) else: # Default set of subreddits subreddits = Subreddit.query.all() return\",\n \"for signing up! Please confirm your email by following the link sent in\",\n \"methods=['GET']) def search(): \\\"\\\"\\\" Allows users to search threads and comments \\\"\\\"\\\" query\",\n \"request.args['next'] form = RegisterForm(request.form) if form.validate_on_submit(): # create an user instance not yet\",\n \"@mod.route('/subs/', methods=['GET', 'POST']) def view_all(): \\\"\\\"\\\" \\\"\\\"\\\" subreddit_list = Subreddit.query.all() form = None\",\n \"def before_request(): g.user = None if session.get('user_id'): g.user = User.query.get(session['user_id']) def home_subreddit(): logger.info(g.user)\",\n \"token = user.email_token) email_response = send_email(\\\"Confirm upvote.pub email\\\", \\\"\\\"\\\"Please visit the link below\",\n \"@mod.route('/.atom') @mod.route('/.xml') @mod.route('/.rss') def atom_redirect(): return redirect(url_for(\\\"subreddits.atom_feed\\\", subreddit_name=\\\"frontpage\\\")) @mod.route('/h/<string:page>') def render_markdown(page): page_md =\",\n \"if form.validate_on_submit(): # continue where we left off if so user = User.query.filter_by(email=form.email.data).first()\",\n \"methods=['GET', 'POST']) def view_all(): \\\"\\\"\\\" \\\"\\\"\\\" subreddit_list = Subreddit.query.all() form = None if\",\n \"in our database and commit it db.session.add(user) email_confirm_link = url_for('frontends.confirm_email', token = user.email_token)\",\n \"next=next) @mod.route('/logout/', methods=['GET', 'POST']) @requires_login def logout(): session.pop('user_id', None) return redirect(url_for('frontends.home')) @mod.route('/confirm-email/<string:token>') def\",\n \"threads and comments \\\"\\\"\\\" query = request.args.get('query') page_title=f\\\"Search results for '{query}'\\\" rs =\",\n \"is valid, but doesn't validate password is right if form.validate_on_submit(): # continue where\",\n \"the user is logged in send them home return redirect(url_for('frontends.home')) next = ''\",\n \"= user.email_token) email_response = send_email(\\\"Confirm upvote.pub email\\\", \\\"\\\"\\\"Please visit the link below to\",\n \"logout(): session.pop('user_id', None) return redirect(url_for('frontends.home')) @mod.route('/confirm-email/<string:token>') def confirm_email(token): \\\"\\\"\\\" Confirm user email \\\"\\\"\\\"\",\n \"methods=['GET', 'POST']) @requires_login def logout(): session.pop('user_id', None) return redirect(url_for('frontends.home')) @mod.route('/confirm-email/<string:token>') def confirm_email(token): \\\"\\\"\\\"\",\n \"return subs def get_subreddits(): \\\"\\\"\\\" Fetch user subreddits otherwise fetch a list of\",\n \"None # if we are passing in a resultset, that means we are\",\n \"base_query.order_by(db.desc(Thread.n_comments)) elif sort_type == 'new': base_query = base_query.order_by(db.desc(Thread.created_on)) elif sort_type == 'publication_date': base_query\",\n \"db.session.commit() flash(\\\"Thank you for confirming your email! You can now submit and comment.\\\",\",\n \"the user back to his or her original place before logging in \\\"\\\"\\\"\",\n \"original place before logging in \\\"\\\"\\\" if g.user: return redirect(url_for('frontends.home')) next = ''\",\n \"if request.path.endswith('trending') else False page_title = \\\"Trending\\\" if trending else \\\"Frontpage\\\" thread_paginator =\",\n \"form=form, next=next) @mod.route('/logout/', methods=['GET', 'POST']) @requires_login def logout(): session.pop('user_id', None) return redirect(url_for('frontends.home')) @mod.route('/confirm-email/<string:token>')\",\n \"use werzeug to validate user's password if user and check_password_hash(user.password, form.password.data): # the\",\n \"request.args.get('query') page_title=f\\\"Search results for '{query}'\\\" rs = search_module.search(query, orderby='creation', search_title=True, search_text=True) thread_paginator =\",\n \"subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) return subs def get_subreddits(): \\\"\\\"\\\" Fetch user subreddits otherwise\",\n \"form = LoginForm(request.form) # make sure data is valid, but doesn't validate password\",\n \"in form_subs if x['value']])) g.user.subreddit_subs = {'subs': form_subs} flash(\\\"Updated Subs\\\", 'success') db.session.commit() else:\",\n \"and commit it db.session.add(user) email_confirm_link = url_for('frontends.confirm_email', token = user.email_token) email_response = send_email(\\\"Confirm\",\n \"subreddit_subs, sub_form from base.utils.email import send_email from base.utils.misc import random_string, validate_sort_type mod =\",\n \"g.user: if request.form: form = subreddit_subs(request.form) if form.validate_on_submit(): form_subs = form.data.get('subs') form_subs =\",\n \"atom_url=atom_url, page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator) @mod.route('/.atom') @mod.route('/.xml') @mod.route('/.rss') def atom_redirect(): return redirect(url_for(\\\"subreddits.atom_feed\\\", subreddit_name=\\\"frontpage\\\")) @mod.route('/h/<string:page>')\",\n \"'metadata', 'markdown-in-html']) return render_template('markdown.html', page=md, **md.metadata) @mod.route('/search/', methods=['GET']) def search(): \\\"\\\"\\\" Allows users\",\n \"form.data.get('subs') form_subs = list(set([x['sub_name'] for x in form_subs if x['value']])) g.user.subreddit_subs = {'subs':\",\n \"list(set([x['sub_name'] for x in form_subs if x['value']])) g.user.subreddit_subs = {'subs': form_subs} flash(\\\"Updated Subs\\\",\",\n \"elif sort_type == 'top': base_query = base_query.order_by(db.desc(Thread.votes)) elif sort_type == 'comments': base_query =\",\n \"methods=['GET', 'POST']) def register(): \\\"\\\"\\\" Registration page \\\"\\\"\\\" if g.user: # If the\",\n \"as it's signed, # it's a safe place to store the user id\",\n \"os import markdown2 from flask import (Blueprint, request, render_template, flash, g, session, redirect,\",\n \"you for confirming your email! You can now submit and comment.\\\", 'success') return\",\n \"place to store the user id session['user_id'] = user.id if 'next' in request.form\",\n \"= User(username=form.username.data, email=form.email.data, \\\\ password=generate_password_hash(form.password.data), university=get_school(form.email.data), email_token=random_string()) # Insert the record in our\",\n \"view_all(): \\\"\\\"\\\" \\\"\\\"\\\" subreddit_list = Subreddit.query.all() form = None if g.user: if request.form:\",\n \"= base_query.order_by(db.desc(Thread.hotness)) elif sort_type == 'top': base_query = base_query.order_by(db.desc(Thread.votes)) elif sort_type == 'comments':\",\n \"Thread.query # Filter by user subs logger.info(g.user) if g.user: subreddit_subs = g.user.subreddit_subs.get('subs') base_query\",\n \"markdown2 from flask import (Blueprint, request, render_template, flash, g, session, redirect, url_for, abort,\",\n \"-*- \\\"\\\"\\\" \\\"\\\"\\\" import os import markdown2 from flask import (Blueprint, request, render_template,\",\n \"(Blueprint, request, render_template, flash, g, session, redirect, url_for, abort, Markup) from werkzeug import\",\n \"subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) \\\\ .filter(Subreddit.name.in_(subreddit_subs)) else: subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) return subs\",\n \"# sexy line of code :) base_query = subreddit.threads if subreddit else Thread.query\",\n \"if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) \\\\ .filter(Subreddit.name.in_(subreddit_subs)) else: subs\",\n \"if request.method == 'GET': if 'next' in request.args: next = request.args['next'] form =\",\n \"user = User.query.filter_by(email=form.email.data).first() # we use werzeug to validate user's password if user\",\n \"User.query.filter_by(email=form.email.data).first() # we use werzeug to validate user's password if user and check_password_hash(user.password,\",\n \"request.args['next'] form = LoginForm(request.form) # make sure data is valid, but doesn't validate\",\n \"= g.user.subreddit_subs.get('subs') subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) \\\\ .filter(Subreddit.name.in_(subreddit_subs)) else: subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness))\",\n \"is right if form.validate_on_submit(): # continue where we left off if so user\",\n \"= subreddit_subs(request.form) if form.validate_on_submit(): form_subs = form.data.get('subs') form_subs = list(set([x['sub_name'] for x in\",\n \"page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator, num_searches=num_searches) @mod.route('/login/', methods=['GET', 'POST']) def login(): \\\"\\\"\\\" We had to\",\n \"the record in our database and commit it db.session.add(user) email_confirm_link = url_for('frontends.confirm_email', token\",\n \"'target-blank-links', 'toc', 'tables', 'footnotes', 'metadata', 'markdown-in-html']) return render_template('markdown.html', page=md, **md.metadata) @mod.route('/search/', methods=['GET']) def\",\n \"request.args: next = request.args['next'] form = RegisterForm(request.form) if form.validate_on_submit(): # create an user\",\n \"generate_password_hash from logzero import logger from base import db, app from base import\",\n \"= Subreddit.query.filter(Subreddit.name.in_(subreddit_subs)) else: # Default set of subreddits subreddits = Subreddit.query.all() return subreddits\",\n \"Subreddit.query.filter(Subreddit.name.in_(subreddit_subs)) else: # Default set of subreddits subreddits = Subreddit.query.all() return subreddits def\",\n \"form=form, next=next) @mod.route('/subs/', methods=['GET', 'POST']) def view_all(): \\\"\\\"\\\" \\\"\\\"\\\" subreddit_list = Subreddit.query.all() form\",\n \"db, app from base import search as search_module # don't override function name\",\n \":) base_query = subreddit.threads if subreddit else Thread.query # Filter by user subs\",\n \"email_confirm_link), user.email) # Log the user in, as he now has an id\",\n \"trending else \\\"Frontpage\\\" thread_paginator = process_thread_paginator(trending=trending) return render_template('home.html', atom_url=atom_url, page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator) @mod.route('/.atom')\",\n \"back to his or her original place before logging in \\\"\\\"\\\" if g.user:\",\n \"\\\"\\\"\\\" if g.get('user'): subreddit_subs = g.user.subreddit_subs.get('subs') subreddits = Subreddit.query.filter(Subreddit.name.in_(subreddit_subs)) else: # Default set\",\n \"orderby='creation', search_title=True, search_text=True) thread_paginator = process_thread_paginator(rs=rs) #rs = rs.all() num_searches = rs.count() subreddits\",\n \"@mod.before_request def before_request(): g.user = None if session.get('user_id'): g.user = User.query.get(session['user_id']) def home_subreddit():\",\n \"email.', 'success') if 'next' in request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) return\",\n \"commit it db.session.add(user) email_confirm_link = url_for('frontends.confirm_email', token = user.email_token) email_response = send_email(\\\"Confirm upvote.pub\",\n \"he now has an id db.session.commit() session['user_id'] = user.id flash('Thanks for signing up!\",\n \"= '' if request.method == 'GET': if 'next' in request.args: next = request.args['next']\",\n \"= None if g.user: if request.form: form = subreddit_subs(request.form) if form.validate_on_submit(): form_subs =\",\n \"= search_module.search(query, orderby='creation', search_title=True, search_text=True) thread_paginator = process_thread_paginator(rs=rs) #rs = rs.all() num_searches =\",\n \"content = f.read() md = markdown2.markdown(content, extras = ['fenced-code-blocks', 'nofollow', 'target-blank-links', 'toc', 'tables',\",\n \"extras = ['fenced-code-blocks', 'nofollow', 'target-blank-links', 'toc', 'tables', 'footnotes', 'metadata', 'markdown-in-html']) return render_template('markdown.html', page=md,\",\n \"user.email_token == token: user.email_verified = True db.session.commit() flash(\\\"Thank you for confirming your email!\",\n \"os.path.exists(page_md): abort(404) with open(page_md, 'r') as f: content = f.read() md = markdown2.markdown(content,\",\n \"comment.\\\", 'success') return redirect(url_for('frontends.home')) @mod.route('/register/', methods=['GET', 'POST']) def register(): \\\"\\\"\\\" Registration page \\\"\\\"\\\"\",\n \"up! Please confirm your email by following the link sent in the confirmation\",\n \"x in form_subs if x['value']])) g.user.subreddit_subs = {'subs': form_subs} flash(\\\"Updated Subs\\\", 'success') db.session.commit()\",\n \"sort_type == 'new': base_query = base_query.order_by(db.desc(Thread.created_on)) elif sort_type == 'publication_date': base_query = base_query.join(Publication).order_by(db.desc(Publication.pub_date))\",\n \"form = None if g.user: if request.form: form = subreddit_subs(request.form) if form.validate_on_submit(): form_subs\",\n \"Allows users to search threads and comments \\\"\\\"\\\" query = request.args.get('query') page_title=f\\\"Search results\",\n \"'success') if 'next' in request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) return render_template(\\\"register.html\\\",\",\n \"email! You can now submit and comment.\\\", 'success') return redirect(url_for('frontends.home')) @mod.route('/register/', methods=['GET', 'POST'])\",\n \"the link sent in the confirmation email.', 'success') if 'next' in request.form and\",\n \"validate user's password if user and check_password_hash(user.password, form.password.data): # the session can't be\",\n \"def get_subreddits(): \\\"\\\"\\\" Fetch user subreddits otherwise fetch a list of defaults \\\"\\\"\\\"\",\n \"sub_form() sform.sub_name = subreddit.name sform.sub_group = subreddit.group if g.user: sform.value=subreddit.name in g.user.subreddit_subs['subs'] form.subs.append_entry(sform)\",\n \"'toc', 'tables', 'footnotes', 'metadata', 'markdown-in-html']) return render_template('markdown.html', page=md, **md.metadata) @mod.route('/search/', methods=['GET']) def search():\",\n \"import random_string, validate_sort_type mod = Blueprint('frontends', __name__, url_prefix='') @mod.before_request def before_request(): g.user =\",\n \"sort_type == 'publication_date': base_query = base_query.join(Publication).order_by(db.desc(Publication.pub_date)) thread_paginator = base_query.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator\",\n \"= get_subreddits() return render_template('home.html', page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator, num_searches=num_searches) @mod.route('/login/', methods=['GET', 'POST']) def login():\",\n \"LoginForm(request.form) # make sure data is valid, but doesn't validate password is right\",\n \"that means we are just looking to # quickly paginate some arbitrary data,\",\n \"If the user is logged in send them home return redirect(url_for('frontends.home')) next =\",\n \"base_query.join(Publication).order_by(db.desc(Publication.pub_date)) thread_paginator = base_query.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator @mod.route('/') def home(sort_type='hot'): \\\"\\\"\\\" If\",\n \"in the database user = User(username=form.username.data, email=form.email.data, \\\\ password=generate_password_hash(form.password.data), university=get_school(form.email.data), email_token=random_string()) # Insert\",\n \"'r') as f: content = f.read() md = markdown2.markdown(content, extras = ['fenced-code-blocks', 'nofollow',\",\n \"don't override function name from base.users.forms import RegisterForm, LoginForm from base.users.models import User\",\n \"url_prefix='') @mod.before_request def before_request(): g.user = None if session.get('user_id'): g.user = User.query.get(session['user_id']) def\",\n \"many sources pull from a thread listing source (subreddit permalink, homepage, etc) \\\"\\\"\\\"\",\n \"base_query.order_by(db.desc(Thread.created_on)) elif sort_type == 'publication_date': base_query = base_query.join(Publication).order_by(db.desc(Publication.pub_date)) thread_paginator = base_query.paginate(cur_page, per_page=threads_per_page, error_out=True)\",\n \"# we use werzeug to validate user's password if user and check_password_hash(user.password, form.password.data):\",\n \"RegisterForm, LoginForm from base.users.models import User from base.threads.models import Thread, Publication from base.subreddits.models\",\n \"# If the user is logged in send them home return redirect(url_for('frontends.home')) next\",\n \"and comment.\\\", 'success') return redirect(url_for('frontends.home')) @mod.route('/register/', methods=['GET', 'POST']) def register(): \\\"\\\"\\\" Registration page\",\n \"per_page=threads_per_page, error_out=True) return thread_paginator # sexy line of code :) base_query = subreddit.threads\",\n \"where we left off if so user = User.query.filter_by(email=form.email.data).first() # we use werzeug\",\n \"@mod.route('/h/<string:page>') def render_markdown(page): page_md = f\\\"base/markdown/{page}.md\\\" if not os.path.exists(page_md): abort(404) with open(page_md, 'r')\",\n \"a thread listing source (subreddit permalink, homepage, etc) \\\"\\\"\\\" threads_per_page = 15 cur_page\",\n \"some extra work to route the user back to his or her original\",\n \"rs.count() subreddits = get_subreddits() return render_template('home.html', page_title=page_title, cur_subreddit=home_subreddit(), thread_paginator=thread_paginator, num_searches=num_searches) @mod.route('/login/', methods=['GET', 'POST'])\",\n \"user.id if 'next' in request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) flash('Wrong email\",\n \"before_request(): g.user = None if session.get('user_id'): g.user = User.query.get(session['user_id']) def home_subreddit(): logger.info(g.user) if\",\n \"== 'GET': if 'next' in request.args: next = request.args['next'] form = RegisterForm(request.form) if\",\n \"= base_query.order_by(db.desc(Thread.created_on)) elif sort_type == 'publication_date': base_query = base_query.join(Publication).order_by(db.desc(Publication.pub_date)) thread_paginator = base_query.paginate(cur_page, per_page=threads_per_page,\",\n \"as he now has an id db.session.commit() session['user_id'] = user.id flash('Thanks for signing\",\n \"in request.form and request.form['next']: return redirect(request.form['next']) return redirect(url_for('frontends.home')) flash('Wrong email or password', 'danger')\",\n \"to # quickly paginate some arbitrary data, no sorting if rs: thread_paginator =\",\n \"= base_query.order_by(db.desc(Thread.n_comments)) elif sort_type == 'new': base_query = base_query.order_by(db.desc(Thread.created_on)) elif sort_type == 'publication_date':\",\n \"Subreddit.query.all() form = None if g.user: if request.form: form = subreddit_subs(request.form) if form.validate_on_submit():\",\n \"user subs logger.info(g.user) if g.user: subreddit_subs = g.user.subreddit_subs.get('subs') base_query = base_query.join(Subreddit).filter(Subreddit.name.in_(subreddit_subs)) # Sorting\",\n \"else: subs = Thread.query.order_by(db.desc(Thread.hotness), db.desc(Thread.hotness)) return subs def get_subreddits(): \\\"\\\"\\\" Fetch user subreddits\",\n \"search_module # don't override function name from base.users.forms import RegisterForm, LoginForm from base.users.models\",\n \"we left off if so user = User.query.filter_by(email=form.email.data).first() # we use werzeug to\",\n \"num_searches=num_searches) @mod.route('/login/', methods=['GET', 'POST']) def login(): \\\"\\\"\\\" We had to do some extra\",\n \"= list(set([x['sub_name'] for x in form_subs if x['value']])) g.user.subreddit_subs = {'subs': form_subs} flash(\\\"Updated\",\n \"form_subs if x['value']])) g.user.subreddit_subs = {'subs': form_subs} flash(\\\"Updated Subs\\\", 'success') db.session.commit() else: form\",\n \"# Sorting if sort_type == 'hot': base_query = base_query.order_by(db.desc(Thread.hotness)) elif sort_type == 'top':\",\n \"link below to confirm your email:\\\\n\\\\n{}{}\\\"\\\"\\\".format(request.url_root.strip(\\\"/\\\"), email_confirm_link), user.email) # Log the user in,\",\n \"= User.query.filter_by(email=form.email.data).first() # we use werzeug to validate user's password if user and\",\n \"cur_page = int(cur_page) thread_paginator = None # if we are passing in a\",\n \"thread listing source (subreddit permalink, homepage, etc) \\\"\\\"\\\" threads_per_page = 15 cur_page =\",\n \"flash(\\\"Updated Subs\\\", 'success') db.session.commit() else: form = subreddit_subs() for subreddit in subreddit_list: sform\",\n \"redirect(url_for('frontends.home')) next = '' if request.method == 'GET': if 'next' in request.args: next\",\n \"return render_template(\\\"login.html\\\", form=form, next=next) @mod.route('/logout/', methods=['GET', 'POST']) @requires_login def logout(): session.pop('user_id', None) return\",\n \"coding: utf-8 -*- \\\"\\\"\\\" \\\"\\\"\\\" import os import markdown2 from flask import (Blueprint,\",\n \"to route the user back to his or her original place before logging\",\n \"logzero import logger from base import db, app from base import search as\",\n \"query = request.args.get('query') page_title=f\\\"Search results for '{query}'\\\" rs = search_module.search(query, orderby='creation', search_title=True, search_text=True)\",\n \"base.users.decorators import requires_login from base.utils.user_utils import get_school from base.subreddits.forms import subreddit_subs, sub_form from\",\n \"arbitrary data, no sorting if rs: thread_paginator = rs.paginate(cur_page, per_page=threads_per_page, error_out=True) return thread_paginator\",\n \"'new': base_query = base_query.order_by(db.desc(Thread.created_on)) elif sort_type == 'publication_date': base_query = base_query.join(Publication).order_by(db.desc(Publication.pub_date)) thread_paginator =\",\n \"<reponame>danielecook/upvote.pub # -*- coding: utf-8 -*- \\\"\\\"\\\" \\\"\\\"\\\" import os import markdown2 from\"\n]","isConversational":false}}},{"rowIdx":1282,"cells":{"ngram":{"kind":"list like","value":["sr.Recognizer() with sr.Microphone() as source: print(\"Listening...\") r.pause_threshold = 1.5 # It will wait","Edition 2021\" os.startfile(pycharmpath) #elif \"open command\" in query: # filelocation = \"path of","sentence speak(\"According to wikipedia\") #print(results) speak(results) elif 'open youtube' in query: # webbrowser.Chrome.open_new(\"youtube.com\")","query: # webbrowser.Chrome.open_new(\"youtube.com\") webbrowser.open(\"youtube.com\") elif \"open google\" in query: webbrowser.open(\"google.com\") elif \"play music\"","{strtime}\") elif \" open pycharm\" in query: pycharmpath =\"C:\\\\Program Files\\\\JetBrains\\\\PyCharm Community Edition 2021\"","i help you\") if __name__ == '__main__': wish_me() while True: query =take_command().lower() if","= sr.Recognizer() with sr.Microphone() as source: print(\"Listening...\") r.pause_threshold = 1.5 # It will","Community Edition 2021\" os.startfile(pycharmpath) #elif \"open command\" in query: # filelocation = \"path","0 and hour < 12: speak(\"Good morning\") elif hour >= 12 and hour","= int(datetime.datetime.now().hour) if hour >= 0 and hour < 12: speak(\"Good morning\") elif","print(f'user said : {query}\\n') except Exception as e: #print(e) print(\"Say that again please\")","= datetime.datetime.now().strftime(\"%H:%M:%S\") speak(f\"The time is {strtime}\") elif \" open pycharm\" in query: pycharmpath","in query: webbrowser.open(\"google.com\") elif \"play music\" in query: music_dir = \"D:\\\\vijayesh\\\\music\" songs =","if __name__ == '__main__': wish_me() while True: query =take_command().lower() if 'wikipedia' in query:","if 'wikipedia' in query: speak(\"Searching wikipedia\") query = query.replace('wikipedia','') results = wikipedia.summary(query,sentences=2)#To read","=take_command().lower() if 'wikipedia' in query: speak(\"Searching wikipedia\") query = query.replace('wikipedia','') results = wikipedia.summary(query,sentences=2)#To","webbrowser.open(\"youtube.com\") elif \"open google\" in query: webbrowser.open(\"google.com\") elif \"play music\" in query: music_dir","time is {strtime}\") elif \" open pycharm\" in query: pycharmpath =\"C:\\\\Program Files\\\\JetBrains\\\\PyCharm Community","the particular file like above\" # os.startfile(filelocation) elif \" email to vijayesh\" or",">= 12 and hour < 18: speak(\"Good afternoon\") else: speak(\"Good night\") speak(\"I am","speak(\"Searching wikipedia\") query = query.replace('wikipedia','') results = wikipedia.summary(query,sentences=2)#To read more increase sentence to","2021\" os.startfile(pycharmpath) #elif \"open command\" in query: # filelocation = \"path of the","of the particular file like above\" # os.startfile(filelocation) elif \" email to vijayesh\"",":return: \"\"\" r = sr.Recognizer() with sr.Microphone() as source: print(\"Listening...\") r.pause_threshold = 1.5","source: print(\"Listening...\") r.pause_threshold = 1.5 # It will wait 1.5 seconds to complete","return query def sendEmail(to,content): server =smtplib.SMTP('smtp.gmail.com',28) # server.connect(\"smtp.gmail.com\",465) # server.ehlo() server.login('<EMAIL>','########') server.sendmail('<EMAIL>',to,content) server.close()","r = sr.Recognizer() with sr.Microphone() as source: print(\"Listening...\") r.pause_threshold = 1.5 # It","time\" in query: strtime = datetime.datetime.now().strftime(\"%H:%M:%S\") speak(f\"The time is {strtime}\") elif \" open","songs = os.listdir(music_dir) print(songs) os.startfile(os.path.join(music_dir,songs[1])) elif \"the time\" in query: strtime = datetime.datetime.now().strftime(\"%H:%M:%S\")","r.listen(source) #Do read details try: print(\"Recognizing\") query = r.recognize_google(audio,language='en-in') print(f'user said : {query}\\n')","\"open google\" in query: webbrowser.open(\"google.com\") elif \"play music\" in query: music_dir = \"D:\\\\vijayesh\\\\music\"","# server.connect(\"smtp.gmail.com\",465) # server.ehlo() server.login('<EMAIL>','########') server.sendmail('<EMAIL>',to,content) server.close() def wish_me(): hour = int(datetime.datetime.now().hour) if","else: speak(\"Good night\") speak(\"I am JARVIS how can i help you\") if __name__","speak(\"What should i say\")#error present content = take_command() to = \"<EMAIL>\" sendEmail(to,content) speak(\"Email","1.5 # It will wait 1.5 seconds to complete a sentence audio =","open pycharm\" in query: pycharmpath =\"C:\\\\Program Files\\\\JetBrains\\\\PyCharm Community Edition 2021\" os.startfile(pycharmpath) #elif \"open","pycharmpath =\"C:\\\\Program Files\\\\JetBrains\\\\PyCharm Community Edition 2021\" os.startfile(pycharmpath) #elif \"open command\" in query: #","command\" in query: # filelocation = \"path of the particular file like above\"","or \"email to vijesh\" in query: try: speak(\"What should i say\")#error present content","present content = take_command() to = \"<EMAIL>\" sendEmail(to,content) speak(\"Email has been sent\") exit()","webbrowser.open(\"google.com\") elif \"play music\" in query: music_dir = \"D:\\\\vijayesh\\\\music\" songs = os.listdir(music_dir) print(songs)","the voice to female change 0 to 1. def speak(audio): engine.say(audio) engine.runAndWait() pass","change 0 to 1. def speak(audio): engine.say(audio) engine.runAndWait() pass def take_command(): \"\"\" It","try: print(\"Recognizing\") query = r.recognize_google(audio,language='en-in') print(f'user said : {query}\\n') except Exception as e:","except Exception as e: #print(e) print(\"Say that again please\") return \"None\" return query","user and returns a string :return: \"\"\" r = sr.Recognizer() with sr.Microphone() as","elif \"play music\" in query: music_dir = \"D:\\\\vijayesh\\\\music\" songs = os.listdir(music_dir) print(songs) os.startfile(os.path.join(music_dir,songs[1]))","os.listdir(music_dir) print(songs) os.startfile(os.path.join(music_dir,songs[1])) elif \"the time\" in query: strtime = datetime.datetime.now().strftime(\"%H:%M:%S\") speak(f\"The time","query: strtime = datetime.datetime.now().strftime(\"%H:%M:%S\") speak(f\"The time is {strtime}\") elif \" open pycharm\" in","wikipedia import webbrowser import os import smtplib engine = pyttsx3.init('sapi5') voices = engine.getProperty('voices')","hour < 12: speak(\"Good morning\") elif hour >= 12 and hour < 18:",">= 0 and hour < 12: speak(\"Good morning\") elif hour >= 12 and","18: speak(\"Good afternoon\") else: speak(\"Good night\") speak(\"I am JARVIS how can i help","server.close() def wish_me(): hour = int(datetime.datetime.now().hour) if hour >= 0 and hour <","It takes microphone input from the user and returns a string :return: \"\"\"","morning\") elif hour >= 12 and hour < 18: speak(\"Good afternoon\") else: speak(\"Good","speak(\"Email has been sent\") exit() except Exception as e: print(e) speak(\"Sorry,I am not","hour = int(datetime.datetime.now().hour) if hour >= 0 and hour < 12: speak(\"Good morning\")","am JARVIS how can i help you\") if __name__ == '__main__': wish_me() while","= \"D:\\\\vijayesh\\\\music\" songs = os.listdir(music_dir) print(songs) os.startfile(os.path.join(music_dir,songs[1])) elif \"the time\" in query: strtime","query: pycharmpath =\"C:\\\\Program Files\\\\JetBrains\\\\PyCharm Community Edition 2021\" os.startfile(pycharmpath) #elif \"open command\" in query:","takes microphone input from the user and returns a string :return: \"\"\" r","# server.ehlo() server.login('<EMAIL>','########') server.sendmail('<EMAIL>',to,content) server.close() def wish_me(): hour = int(datetime.datetime.now().hour) if hour >=","wikipedia\") query = query.replace('wikipedia','') results = wikipedia.summary(query,sentences=2)#To read more increase sentence to decrease","server.connect(\"smtp.gmail.com\",465) # server.ehlo() server.login('<EMAIL>','########') server.sendmail('<EMAIL>',to,content) server.close() def wish_me(): hour = int(datetime.datetime.now().hour) if hour","elif \"the time\" in query: strtime = datetime.datetime.now().strftime(\"%H:%M:%S\") speak(f\"The time is {strtime}\") elif","again please\") return \"None\" return query def sendEmail(to,content): server =smtplib.SMTP('smtp.gmail.com',28) # server.connect(\"smtp.gmail.com\",465) #","say\")#error present content = take_command() to = \"<EMAIL>\" sendEmail(to,content) speak(\"Email has been sent\")","string :return: \"\"\" r = sr.Recognizer() with sr.Microphone() as source: print(\"Listening...\") r.pause_threshold =","12: speak(\"Good morning\") elif hour >= 12 and hour < 18: speak(\"Good afternoon\")","take_command() to = \"<EMAIL>\" sendEmail(to,content) speak(\"Email has been sent\") exit() except Exception as","to vijesh\" in query: try: speak(\"What should i say\")#error present content = take_command()","change the voice to female change 0 to 1. def speak(audio): engine.say(audio) engine.runAndWait()","been sent\") exit() except Exception as e: print(e) speak(\"Sorry,I am not able to","a sentence audio = r.listen(source) #Do read details try: print(\"Recognizing\") query = r.recognize_google(audio,language='en-in')","'wikipedia' in query: speak(\"Searching wikipedia\") query = query.replace('wikipedia','') results = wikipedia.summary(query,sentences=2)#To read more","please\") return \"None\" return query def sendEmail(to,content): server =smtplib.SMTP('smtp.gmail.com',28) # server.connect(\"smtp.gmail.com\",465) # server.ehlo()","to complete a sentence audio = r.listen(source) #Do read details try: print(\"Recognizing\") query","in query: music_dir = \"D:\\\\vijayesh\\\\music\" songs = os.listdir(music_dir) print(songs) os.startfile(os.path.join(music_dir,songs[1])) elif \"the time\"","in query: pycharmpath =\"C:\\\\Program Files\\\\JetBrains\\\\PyCharm Community Edition 2021\" os.startfile(pycharmpath) #elif \"open command\" in","take_command(): \"\"\" It takes microphone input from the user and returns a string","engine.say(audio) engine.runAndWait() pass def take_command(): \"\"\" It takes microphone input from the user","elif \" email to vijayesh\" or \"email to vijesh\" in query: try: speak(\"What","as source: print(\"Listening...\") r.pause_threshold = 1.5 # It will wait 1.5 seconds to","\"path of the particular file like above\" # os.startfile(filelocation) elif \" email to","= query.replace('wikipedia','') results = wikipedia.summary(query,sentences=2)#To read more increase sentence to decrease sentence decreease","webbrowser.Chrome.open_new(\"youtube.com\") webbrowser.open(\"youtube.com\") elif \"open google\" in query: webbrowser.open(\"google.com\") elif \"play music\" in query:","sr.Microphone() as source: print(\"Listening...\") r.pause_threshold = 1.5 # It will wait 1.5 seconds","more increase sentence to decrease sentence decreease sentence speak(\"According to wikipedia\") #print(results) speak(results)","import pyttsx3 import datetime import speech_recognition as sr import wikipedia import webbrowser import","input from the user and returns a string :return: \"\"\" r = sr.Recognizer()","afternoon\") else: speak(\"Good night\") speak(\"I am JARVIS how can i help you\") if","sendEmail(to,content) speak(\"Email has been sent\") exit() except Exception as e: print(e) speak(\"Sorry,I am","query: webbrowser.open(\"google.com\") elif \"play music\" in query: music_dir = \"D:\\\\vijayesh\\\\music\" songs = os.listdir(music_dir)","smtplib engine = pyttsx3.init('sapi5') voices = engine.getProperty('voices') engine.setProperty('voice', voices[0].id) # To change the","# To change the voice to female change 0 to 1. def speak(audio):","\" open pycharm\" in query: pycharmpath =\"C:\\\\Program Files\\\\JetBrains\\\\PyCharm Community Edition 2021\" os.startfile(pycharmpath) #elif","os.startfile(os.path.join(music_dir,songs[1])) elif \"the time\" in query: strtime = datetime.datetime.now().strftime(\"%H:%M:%S\") speak(f\"The time is {strtime}\")","webbrowser import os import smtplib engine = pyttsx3.init('sapi5') voices = engine.getProperty('voices') engine.setProperty('voice', voices[0].id)","particular file like above\" # os.startfile(filelocation) elif \" email to vijayesh\" or \"email","read details try: print(\"Recognizing\") query = r.recognize_google(audio,language='en-in') print(f'user said : {query}\\n') except Exception","complete a sentence audio = r.listen(source) #Do read details try: print(\"Recognizing\") query =","google\" in query: webbrowser.open(\"google.com\") elif \"play music\" in query: music_dir = \"D:\\\\vijayesh\\\\music\" songs","query: music_dir = \"D:\\\\vijayesh\\\\music\" songs = os.listdir(music_dir) print(songs) os.startfile(os.path.join(music_dir,songs[1])) elif \"the time\" in","in query: strtime = datetime.datetime.now().strftime(\"%H:%M:%S\") speak(f\"The time is {strtime}\") elif \" open pycharm\"","pycharm\" in query: pycharmpath =\"C:\\\\Program Files\\\\JetBrains\\\\PyCharm Community Edition 2021\" os.startfile(pycharmpath) #elif \"open command\"","engine = pyttsx3.init('sapi5') voices = engine.getProperty('voices') engine.setProperty('voice', voices[0].id) # To change the voice","import wikipedia import webbrowser import os import smtplib engine = pyttsx3.init('sapi5') voices =","content = take_command() to = \"<EMAIL>\" sendEmail(to,content) speak(\"Email has been sent\") exit() except","print(\"Say that again please\") return \"None\" return query def sendEmail(to,content): server =smtplib.SMTP('smtp.gmail.com',28) #","query = query.replace('wikipedia','') results = wikipedia.summary(query,sentences=2)#To read more increase sentence to decrease sentence","with sr.Microphone() as source: print(\"Listening...\") r.pause_threshold = 1.5 # It will wait 1.5","in query: # webbrowser.Chrome.open_new(\"youtube.com\") webbrowser.open(\"youtube.com\") elif \"open google\" in query: webbrowser.open(\"google.com\") elif \"play","to 1. def speak(audio): engine.say(audio) engine.runAndWait() pass def take_command(): \"\"\" It takes microphone","music\" in query: music_dir = \"D:\\\\vijayesh\\\\music\" songs = os.listdir(music_dir) print(songs) os.startfile(os.path.join(music_dir,songs[1])) elif \"the","elif \" open pycharm\" in query: pycharmpath =\"C:\\\\Program Files\\\\JetBrains\\\\PyCharm Community Edition 2021\" os.startfile(pycharmpath)","\"open command\" in query: # filelocation = \"path of the particular file like","\"\"\" It takes microphone input from the user and returns a string :return:","query: speak(\"Searching wikipedia\") query = query.replace('wikipedia','') results = wikipedia.summary(query,sentences=2)#To read more increase sentence","=\"C:\\\\Program Files\\\\JetBrains\\\\PyCharm Community Edition 2021\" os.startfile(pycharmpath) #elif \"open command\" in query: # filelocation","os import smtplib engine = pyttsx3.init('sapi5') voices = engine.getProperty('voices') engine.setProperty('voice', voices[0].id) # To","import speech_recognition as sr import wikipedia import webbrowser import os import smtplib engine","music_dir = \"D:\\\\vijayesh\\\\music\" songs = os.listdir(music_dir) print(songs) os.startfile(os.path.join(music_dir,songs[1])) elif \"the time\" in query:","vijayesh\" or \"email to vijesh\" in query: try: speak(\"What should i say\")#error present","filelocation = \"path of the particular file like above\" # os.startfile(filelocation) elif \"","# webbrowser.Chrome.open_new(\"youtube.com\") webbrowser.open(\"youtube.com\") elif \"open google\" in query: webbrowser.open(\"google.com\") elif \"play music\" in","1.5 seconds to complete a sentence audio = r.listen(source) #Do read details try:","is {strtime}\") elif \" open pycharm\" in query: pycharmpath =\"C:\\\\Program Files\\\\JetBrains\\\\PyCharm Community Edition","returns a string :return: \"\"\" r = sr.Recognizer() with sr.Microphone() as source: print(\"Listening...\")","int(datetime.datetime.now().hour) if hour >= 0 and hour < 12: speak(\"Good morning\") elif hour","seconds to complete a sentence audio = r.listen(source) #Do read details try: print(\"Recognizing\")","= 1.5 # It will wait 1.5 seconds to complete a sentence audio","= take_command() to = \"<EMAIL>\" sendEmail(to,content) speak(\"Email has been sent\") exit() except Exception","speech_recognition as sr import wikipedia import webbrowser import os import smtplib engine =","To change the voice to female change 0 to 1. def speak(audio): engine.say(audio)","query: try: speak(\"What should i say\")#error present content = take_command() to = \"<EMAIL>\"",": {query}\\n') except Exception as e: #print(e) print(\"Say that again please\") return \"None\"","in query: try: speak(\"What should i say\")#error present content = take_command() to =","youtube' in query: # webbrowser.Chrome.open_new(\"youtube.com\") webbrowser.open(\"youtube.com\") elif \"open google\" in query: webbrowser.open(\"google.com\") elif","voice to female change 0 to 1. def speak(audio): engine.say(audio) engine.runAndWait() pass def","__name__ == '__main__': wish_me() while True: query =take_command().lower() if 'wikipedia' in query: speak(\"Searching","query.replace('wikipedia','') results = wikipedia.summary(query,sentences=2)#To read more increase sentence to decrease sentence decreease sentence","to wikipedia\") #print(results) speak(results) elif 'open youtube' in query: # webbrowser.Chrome.open_new(\"youtube.com\") webbrowser.open(\"youtube.com\") elif","as sr import wikipedia import webbrowser import os import smtplib engine = pyttsx3.init('sapi5')","Exception as e: print(e) speak(\"Sorry,I am not able to send this email\") exit()","sentence decreease sentence speak(\"According to wikipedia\") #print(results) speak(results) elif 'open youtube' in query:","\"email to vijesh\" in query: try: speak(\"What should i say\")#error present content =","'__main__': wish_me() while True: query =take_command().lower() if 'wikipedia' in query: speak(\"Searching wikipedia\") query","email to vijayesh\" or \"email to vijesh\" in query: try: speak(\"What should i","microphone input from the user and returns a string :return: \"\"\" r =","elif \"open google\" in query: webbrowser.open(\"google.com\") elif \"play music\" in query: music_dir =","os.startfile(pycharmpath) #elif \"open command\" in query: # filelocation = \"path of the particular","sr import wikipedia import webbrowser import os import smtplib engine = pyttsx3.init('sapi5') voices","= r.recognize_google(audio,language='en-in') print(f'user said : {query}\\n') except Exception as e: #print(e) print(\"Say that","help you\") if __name__ == '__main__': wish_me() while True: query =take_command().lower() if 'wikipedia'","# filelocation = \"path of the particular file like above\" # os.startfile(filelocation) elif","while True: query =take_command().lower() if 'wikipedia' in query: speak(\"Searching wikipedia\") query = query.replace('wikipedia','')","wikipedia\") #print(results) speak(results) elif 'open youtube' in query: # webbrowser.Chrome.open_new(\"youtube.com\") webbrowser.open(\"youtube.com\") elif \"open","12 and hour < 18: speak(\"Good afternoon\") else: speak(\"Good night\") speak(\"I am JARVIS","audio = r.listen(source) #Do read details try: print(\"Recognizing\") query = r.recognize_google(audio,language='en-in') print(f'user said","speak(\"Good morning\") elif hour >= 12 and hour < 18: speak(\"Good afternoon\") else:","strtime = datetime.datetime.now().strftime(\"%H:%M:%S\") speak(f\"The time is {strtime}\") elif \" open pycharm\" in query:","= pyttsx3.init('sapi5') voices = engine.getProperty('voices') engine.setProperty('voice', voices[0].id) # To change the voice to","wait 1.5 seconds to complete a sentence audio = r.listen(source) #Do read details","female change 0 to 1. def speak(audio): engine.say(audio) engine.runAndWait() pass def take_command(): \"\"\"","speak(\"Good afternoon\") else: speak(\"Good night\") speak(\"I am JARVIS how can i help you\")","sentence to decrease sentence decreease sentence speak(\"According to wikipedia\") #print(results) speak(results) elif 'open","{query}\\n') except Exception as e: #print(e) print(\"Say that again please\") return \"None\" return","server.login('<EMAIL>','########') server.sendmail('<EMAIL>',to,content) server.close() def wish_me(): hour = int(datetime.datetime.now().hour) if hour >= 0 and","speak(\"I am JARVIS how can i help you\") if __name__ == '__main__': wish_me()","== '__main__': wish_me() while True: query =take_command().lower() if 'wikipedia' in query: speak(\"Searching wikipedia\")","def speak(audio): engine.say(audio) engine.runAndWait() pass def take_command(): \"\"\" It takes microphone input from","speak(\"Good night\") speak(\"I am JARVIS how can i help you\") if __name__ ==","'open youtube' in query: # webbrowser.Chrome.open_new(\"youtube.com\") webbrowser.open(\"youtube.com\") elif \"open google\" in query: webbrowser.open(\"google.com\")","to = \"<EMAIL>\" sendEmail(to,content) speak(\"Email has been sent\") exit() except Exception as e:","#Do read details try: print(\"Recognizing\") query = r.recognize_google(audio,language='en-in') print(f'user said : {query}\\n') except","pyttsx3 import datetime import speech_recognition as sr import wikipedia import webbrowser import os","e: #print(e) print(\"Say that again please\") return \"None\" return query def sendEmail(to,content): server","elif 'open youtube' in query: # webbrowser.Chrome.open_new(\"youtube.com\") webbrowser.open(\"youtube.com\") elif \"open google\" in query:","# It will wait 1.5 seconds to complete a sentence audio = r.listen(source)","import smtplib engine = pyttsx3.init('sapi5') voices = engine.getProperty('voices') engine.setProperty('voice', voices[0].id) # To change","import datetime import speech_recognition as sr import wikipedia import webbrowser import os import","sendEmail(to,content): server =smtplib.SMTP('smtp.gmail.com',28) # server.connect(\"smtp.gmail.com\",465) # server.ehlo() server.login('<EMAIL>','########') server.sendmail('<EMAIL>',to,content) server.close() def wish_me(): hour","#print(e) print(\"Say that again please\") return \"None\" return query def sendEmail(to,content): server =smtplib.SMTP('smtp.gmail.com',28)","=smtplib.SMTP('smtp.gmail.com',28) # server.connect(\"smtp.gmail.com\",465) # server.ehlo() server.login('<EMAIL>','########') server.sendmail('<EMAIL>',to,content) server.close() def wish_me(): hour = int(datetime.datetime.now().hour)","server.ehlo() server.login('<EMAIL>','########') server.sendmail('<EMAIL>',to,content) server.close() def wish_me(): hour = int(datetime.datetime.now().hour) if hour >= 0","elif hour >= 12 and hour < 18: speak(\"Good afternoon\") else: speak(\"Good night\")","= wikipedia.summary(query,sentences=2)#To read more increase sentence to decrease sentence decreease sentence speak(\"According to","will wait 1.5 seconds to complete a sentence audio = r.listen(source) #Do read","has been sent\") exit() except Exception as e: print(e) speak(\"Sorry,I am not able","\"\"\" r = sr.Recognizer() with sr.Microphone() as source: print(\"Listening...\") r.pause_threshold = 1.5 #","< 12: speak(\"Good morning\") elif hour >= 12 and hour < 18: speak(\"Good","True: query =take_command().lower() if 'wikipedia' in query: speak(\"Searching wikipedia\") query = query.replace('wikipedia','') results","and returns a string :return: \"\"\" r = sr.Recognizer() with sr.Microphone() as source:","\"None\" return query def sendEmail(to,content): server =smtplib.SMTP('smtp.gmail.com',28) # server.connect(\"smtp.gmail.com\",465) # server.ehlo() server.login('<EMAIL>','########') server.sendmail('<EMAIL>',to,content)","server.sendmail('<EMAIL>',to,content) server.close() def wish_me(): hour = int(datetime.datetime.now().hour) if hour >= 0 and hour","wish_me() while True: query =take_command().lower() if 'wikipedia' in query: speak(\"Searching wikipedia\") query =","decrease sentence decreease sentence speak(\"According to wikipedia\") #print(results) speak(results) elif 'open youtube' in","print(songs) os.startfile(os.path.join(music_dir,songs[1])) elif \"the time\" in query: strtime = datetime.datetime.now().strftime(\"%H:%M:%S\") speak(f\"The time is","in query: # filelocation = \"path of the particular file like above\" #","= \"path of the particular file like above\" # os.startfile(filelocation) elif \" email","hour >= 12 and hour < 18: speak(\"Good afternoon\") else: speak(\"Good night\") speak(\"I","in query: speak(\"Searching wikipedia\") query = query.replace('wikipedia','') results = wikipedia.summary(query,sentences=2)#To read more increase","engine.runAndWait() pass def take_command(): \"\"\" It takes microphone input from the user and","#print(results) speak(results) elif 'open youtube' in query: # webbrowser.Chrome.open_new(\"youtube.com\") webbrowser.open(\"youtube.com\") elif \"open google\"","like above\" # os.startfile(filelocation) elif \" email to vijayesh\" or \"email to vijesh\"","# os.startfile(filelocation) elif \" email to vijayesh\" or \"email to vijesh\" in query:","exit() except Exception as e: print(e) speak(\"Sorry,I am not able to send this","r.recognize_google(audio,language='en-in') print(f'user said : {query}\\n') except Exception as e: #print(e) print(\"Say that again","wish_me(): hour = int(datetime.datetime.now().hour) if hour >= 0 and hour < 12: speak(\"Good","print(\"Recognizing\") query = r.recognize_google(audio,language='en-in') print(f'user said : {query}\\n') except Exception as e: #print(e)","< 18: speak(\"Good afternoon\") else: speak(\"Good night\") speak(\"I am JARVIS how can i","voices = engine.getProperty('voices') engine.setProperty('voice', voices[0].id) # To change the voice to female change","0 to 1. def speak(audio): engine.say(audio) engine.runAndWait() pass def take_command(): \"\"\" It takes","speak(results) elif 'open youtube' in query: # webbrowser.Chrome.open_new(\"youtube.com\") webbrowser.open(\"youtube.com\") elif \"open google\" in","server =smtplib.SMTP('smtp.gmail.com',28) # server.connect(\"smtp.gmail.com\",465) # server.ehlo() server.login('<EMAIL>','########') server.sendmail('<EMAIL>',to,content) server.close() def wish_me(): hour =","and hour < 12: speak(\"Good morning\") elif hour >= 12 and hour <","can i help you\") if __name__ == '__main__': wish_me() while True: query =take_command().lower()","\"play music\" in query: music_dir = \"D:\\\\vijayesh\\\\music\" songs = os.listdir(music_dir) print(songs) os.startfile(os.path.join(music_dir,songs[1])) elif","results = wikipedia.summary(query,sentences=2)#To read more increase sentence to decrease sentence decreease sentence speak(\"According","= r.listen(source) #Do read details try: print(\"Recognizing\") query = r.recognize_google(audio,language='en-in') print(f'user said :","sentence audio = r.listen(source) #Do read details try: print(\"Recognizing\") query = r.recognize_google(audio,language='en-in') print(f'user","print(\"Listening...\") r.pause_threshold = 1.5 # It will wait 1.5 seconds to complete a","wikipedia.summary(query,sentences=2)#To read more increase sentence to decrease sentence decreease sentence speak(\"According to wikipedia\")","try: speak(\"What should i say\")#error present content = take_command() to = \"<EMAIL>\" sendEmail(to,content)","how can i help you\") if __name__ == '__main__': wish_me() while True: query","query =take_command().lower() if 'wikipedia' in query: speak(\"Searching wikipedia\") query = query.replace('wikipedia','') results =","to vijayesh\" or \"email to vijesh\" in query: try: speak(\"What should i say\")#error","speak(audio): engine.say(audio) engine.runAndWait() pass def take_command(): \"\"\" It takes microphone input from the","read more increase sentence to decrease sentence decreease sentence speak(\"According to wikipedia\") #print(results)","import os import smtplib engine = pyttsx3.init('sapi5') voices = engine.getProperty('voices') engine.setProperty('voice', voices[0].id) #","JARVIS how can i help you\") if __name__ == '__main__': wish_me() while True:","query def sendEmail(to,content): server =smtplib.SMTP('smtp.gmail.com',28) # server.connect(\"smtp.gmail.com\",465) # server.ehlo() server.login('<EMAIL>','########') server.sendmail('<EMAIL>',to,content) server.close() def","query = r.recognize_google(audio,language='en-in') print(f'user said : {query}\\n') except Exception as e: #print(e) print(\"Say","Exception as e: #print(e) print(\"Say that again please\") return \"None\" return query def","voices[0].id) # To change the voice to female change 0 to 1. def","pass def take_command(): \"\"\" It takes microphone input from the user and returns","= \"<EMAIL>\" sendEmail(to,content) speak(\"Email has been sent\") exit() except Exception as e: print(e)","\"<EMAIL>\" sendEmail(to,content) speak(\"Email has been sent\") exit() except Exception as e: print(e) speak(\"Sorry,I","decreease sentence speak(\"According to wikipedia\") #print(results) speak(results) elif 'open youtube' in query: #","the user and returns a string :return: \"\"\" r = sr.Recognizer() with sr.Microphone()","to decrease sentence decreease sentence speak(\"According to wikipedia\") #print(results) speak(results) elif 'open youtube'","return \"None\" return query def sendEmail(to,content): server =smtplib.SMTP('smtp.gmail.com',28) # server.connect(\"smtp.gmail.com\",465) # server.ehlo() server.login('<EMAIL>','########')","speak(f\"The time is {strtime}\") elif \" open pycharm\" in query: pycharmpath =\"C:\\\\Program Files\\\\JetBrains\\\\PyCharm","1. def speak(audio): engine.say(audio) engine.runAndWait() pass def take_command(): \"\"\" It takes microphone input","= os.listdir(music_dir) print(songs) os.startfile(os.path.join(music_dir,songs[1])) elif \"the time\" in query: strtime = datetime.datetime.now().strftime(\"%H:%M:%S\") speak(f\"The","you\") if __name__ == '__main__': wish_me() while True: query =take_command().lower() if 'wikipedia' in","os.startfile(filelocation) elif \" email to vijayesh\" or \"email to vijesh\" in query: try:","above\" # os.startfile(filelocation) elif \" email to vijayesh\" or \"email to vijesh\" in","from the user and returns a string :return: \"\"\" r = sr.Recognizer() with","\" email to vijayesh\" or \"email to vijesh\" in query: try: speak(\"What should","sent\") exit() except Exception as e: print(e) speak(\"Sorry,I am not able to send","query: # filelocation = \"path of the particular file like above\" # os.startfile(filelocation)","that again please\") return \"None\" return query def sendEmail(to,content): server =smtplib.SMTP('smtp.gmail.com',28) # server.connect(\"smtp.gmail.com\",465)","\"the time\" in query: strtime = datetime.datetime.now().strftime(\"%H:%M:%S\") speak(f\"The time is {strtime}\") elif \"","except Exception as e: print(e) speak(\"Sorry,I am not able to send this email\")","#elif \"open command\" in query: # filelocation = \"path of the particular file","engine.getProperty('voices') engine.setProperty('voice', voices[0].id) # To change the voice to female change 0 to","a string :return: \"\"\" r = sr.Recognizer() with sr.Microphone() as source: print(\"Listening...\") r.pause_threshold","datetime.datetime.now().strftime(\"%H:%M:%S\") speak(f\"The time is {strtime}\") elif \" open pycharm\" in query: pycharmpath =\"C:\\\\Program","speak(\"According to wikipedia\") #print(results) speak(results) elif 'open youtube' in query: # webbrowser.Chrome.open_new(\"youtube.com\") webbrowser.open(\"youtube.com\")","if hour >= 0 and hour < 12: speak(\"Good morning\") elif hour >=","hour >= 0 and hour < 12: speak(\"Good morning\") elif hour >= 12","increase sentence to decrease sentence decreease sentence speak(\"According to wikipedia\") #print(results) speak(results) elif","It will wait 1.5 seconds to complete a sentence audio = r.listen(source) #Do","as e: #print(e) print(\"Say that again please\") return \"None\" return query def sendEmail(to,content):","i say\")#error present content = take_command() to = \"<EMAIL>\" sendEmail(to,content) speak(\"Email has been","datetime import speech_recognition as sr import wikipedia import webbrowser import os import smtplib","engine.setProperty('voice', voices[0].id) # To change the voice to female change 0 to 1.","= engine.getProperty('voices') engine.setProperty('voice', voices[0].id) # To change the voice to female change 0","and hour < 18: speak(\"Good afternoon\") else: speak(\"Good night\") speak(\"I am JARVIS how","pyttsx3.init('sapi5') voices = engine.getProperty('voices') engine.setProperty('voice', voices[0].id) # To change the voice to female","should i say\")#error present content = take_command() to = \"<EMAIL>\" sendEmail(to,content) speak(\"Email has","def take_command(): \"\"\" It takes microphone input from the user and returns a","import webbrowser import os import smtplib engine = pyttsx3.init('sapi5') voices = engine.getProperty('voices') engine.setProperty('voice',","file like above\" # os.startfile(filelocation) elif \" email to vijayesh\" or \"email to","Files\\\\JetBrains\\\\PyCharm Community Edition 2021\" os.startfile(pycharmpath) #elif \"open command\" in query: # filelocation =","\"D:\\\\vijayesh\\\\music\" songs = os.listdir(music_dir) print(songs) os.startfile(os.path.join(music_dir,songs[1])) elif \"the time\" in query: strtime =","def sendEmail(to,content): server =smtplib.SMTP('smtp.gmail.com',28) # server.connect(\"smtp.gmail.com\",465) # server.ehlo() server.login('<EMAIL>','########') server.sendmail('<EMAIL>',to,content) server.close() def wish_me():","vijesh\" in query: try: speak(\"What should i say\")#error present content = take_command() to","r.pause_threshold = 1.5 # It will wait 1.5 seconds to complete a sentence","said : {query}\\n') except Exception as e: #print(e) print(\"Say that again please\") return","def wish_me(): hour = int(datetime.datetime.now().hour) if hour >= 0 and hour < 12:","to female change 0 to 1. def speak(audio): engine.say(audio) engine.runAndWait() pass def take_command():","night\") speak(\"I am JARVIS how can i help you\") if __name__ == '__main__':","hour < 18: speak(\"Good afternoon\") else: speak(\"Good night\") speak(\"I am JARVIS how can","details try: print(\"Recognizing\") query = r.recognize_google(audio,language='en-in') print(f'user said : {query}\\n') except Exception as"],"string":"[\n \"sr.Recognizer() with sr.Microphone() as source: print(\\\"Listening...\\\") r.pause_threshold = 1.5 # It will wait\",\n \"Edition 2021\\\" os.startfile(pycharmpath) #elif \\\"open command\\\" in query: # filelocation = \\\"path of\",\n \"sentence speak(\\\"According to wikipedia\\\") #print(results) speak(results) elif 'open youtube' in query: # webbrowser.Chrome.open_new(\\\"youtube.com\\\")\",\n \"query: # webbrowser.Chrome.open_new(\\\"youtube.com\\\") webbrowser.open(\\\"youtube.com\\\") elif \\\"open google\\\" in query: webbrowser.open(\\\"google.com\\\") elif \\\"play music\\\"\",\n \"{strtime}\\\") elif \\\" open pycharm\\\" in query: pycharmpath =\\\"C:\\\\\\\\Program Files\\\\\\\\JetBrains\\\\\\\\PyCharm Community Edition 2021\\\"\",\n \"i help you\\\") if __name__ == '__main__': wish_me() while True: query =take_command().lower() if\",\n \"= sr.Recognizer() with sr.Microphone() as source: print(\\\"Listening...\\\") r.pause_threshold = 1.5 # It will\",\n \"Community Edition 2021\\\" os.startfile(pycharmpath) #elif \\\"open command\\\" in query: # filelocation = \\\"path\",\n \"0 and hour < 12: speak(\\\"Good morning\\\") elif hour >= 12 and hour\",\n \"= int(datetime.datetime.now().hour) if hour >= 0 and hour < 12: speak(\\\"Good morning\\\") elif\",\n \"print(f'user said : {query}\\\\n') except Exception as e: #print(e) print(\\\"Say that again please\\\")\",\n \"= datetime.datetime.now().strftime(\\\"%H:%M:%S\\\") speak(f\\\"The time is {strtime}\\\") elif \\\" open pycharm\\\" in query: pycharmpath\",\n \"in query: webbrowser.open(\\\"google.com\\\") elif \\\"play music\\\" in query: music_dir = \\\"D:\\\\\\\\vijayesh\\\\\\\\music\\\" songs =\",\n \"if __name__ == '__main__': wish_me() while True: query =take_command().lower() if 'wikipedia' in query:\",\n \"if 'wikipedia' in query: speak(\\\"Searching wikipedia\\\") query = query.replace('wikipedia','') results = wikipedia.summary(query,sentences=2)#To read\",\n \"=take_command().lower() if 'wikipedia' in query: speak(\\\"Searching wikipedia\\\") query = query.replace('wikipedia','') results = wikipedia.summary(query,sentences=2)#To\",\n \"webbrowser.open(\\\"youtube.com\\\") elif \\\"open google\\\" in query: webbrowser.open(\\\"google.com\\\") elif \\\"play music\\\" in query: music_dir\",\n \"time is {strtime}\\\") elif \\\" open pycharm\\\" in query: pycharmpath =\\\"C:\\\\\\\\Program Files\\\\\\\\JetBrains\\\\\\\\PyCharm Community\",\n \"the particular file like above\\\" # os.startfile(filelocation) elif \\\" email to vijayesh\\\" or\",\n \">= 12 and hour < 18: speak(\\\"Good afternoon\\\") else: speak(\\\"Good night\\\") speak(\\\"I am\",\n \"speak(\\\"Searching wikipedia\\\") query = query.replace('wikipedia','') results = wikipedia.summary(query,sentences=2)#To read more increase sentence to\",\n \"2021\\\" os.startfile(pycharmpath) #elif \\\"open command\\\" in query: # filelocation = \\\"path of the\",\n \"of the particular file like above\\\" # os.startfile(filelocation) elif \\\" email to vijayesh\\\"\",\n \":return: \\\"\\\"\\\" r = sr.Recognizer() with sr.Microphone() as source: print(\\\"Listening...\\\") r.pause_threshold = 1.5\",\n \"source: print(\\\"Listening...\\\") r.pause_threshold = 1.5 # It will wait 1.5 seconds to complete\",\n \"return query def sendEmail(to,content): server =smtplib.SMTP('smtp.gmail.com',28) # server.connect(\\\"smtp.gmail.com\\\",465) # server.ehlo() server.login('<EMAIL>','########') server.sendmail('<EMAIL>',to,content) server.close()\",\n \"r = sr.Recognizer() with sr.Microphone() as source: print(\\\"Listening...\\\") r.pause_threshold = 1.5 # It\",\n \"time\\\" in query: strtime = datetime.datetime.now().strftime(\\\"%H:%M:%S\\\") speak(f\\\"The time is {strtime}\\\") elif \\\" open\",\n \"songs = os.listdir(music_dir) print(songs) os.startfile(os.path.join(music_dir,songs[1])) elif \\\"the time\\\" in query: strtime = datetime.datetime.now().strftime(\\\"%H:%M:%S\\\")\",\n \"r.listen(source) #Do read details try: print(\\\"Recognizing\\\") query = r.recognize_google(audio,language='en-in') print(f'user said : {query}\\\\n')\",\n \"\\\"open google\\\" in query: webbrowser.open(\\\"google.com\\\") elif \\\"play music\\\" in query: music_dir = \\\"D:\\\\\\\\vijayesh\\\\\\\\music\\\"\",\n \"# server.connect(\\\"smtp.gmail.com\\\",465) # server.ehlo() server.login('<EMAIL>','########') server.sendmail('<EMAIL>',to,content) server.close() def wish_me(): hour = int(datetime.datetime.now().hour) if\",\n \"else: speak(\\\"Good night\\\") speak(\\\"I am JARVIS how can i help you\\\") if __name__\",\n \"speak(\\\"What should i say\\\")#error present content = take_command() to = \\\"<EMAIL>\\\" sendEmail(to,content) speak(\\\"Email\",\n \"1.5 # It will wait 1.5 seconds to complete a sentence audio =\",\n \"open pycharm\\\" in query: pycharmpath =\\\"C:\\\\\\\\Program Files\\\\\\\\JetBrains\\\\\\\\PyCharm Community Edition 2021\\\" os.startfile(pycharmpath) #elif \\\"open\",\n \"pycharmpath =\\\"C:\\\\\\\\Program Files\\\\\\\\JetBrains\\\\\\\\PyCharm Community Edition 2021\\\" os.startfile(pycharmpath) #elif \\\"open command\\\" in query: #\",\n \"command\\\" in query: # filelocation = \\\"path of the particular file like above\\\"\",\n \"or \\\"email to vijesh\\\" in query: try: speak(\\\"What should i say\\\")#error present content\",\n \"present content = take_command() to = \\\"<EMAIL>\\\" sendEmail(to,content) speak(\\\"Email has been sent\\\") exit()\",\n \"webbrowser.open(\\\"google.com\\\") elif \\\"play music\\\" in query: music_dir = \\\"D:\\\\\\\\vijayesh\\\\\\\\music\\\" songs = os.listdir(music_dir) print(songs)\",\n \"the voice to female change 0 to 1. def speak(audio): engine.say(audio) engine.runAndWait() pass\",\n \"change 0 to 1. def speak(audio): engine.say(audio) engine.runAndWait() pass def take_command(): \\\"\\\"\\\" It\",\n \"try: print(\\\"Recognizing\\\") query = r.recognize_google(audio,language='en-in') print(f'user said : {query}\\\\n') except Exception as e:\",\n \"except Exception as e: #print(e) print(\\\"Say that again please\\\") return \\\"None\\\" return query\",\n \"user and returns a string :return: \\\"\\\"\\\" r = sr.Recognizer() with sr.Microphone() as\",\n \"elif \\\"play music\\\" in query: music_dir = \\\"D:\\\\\\\\vijayesh\\\\\\\\music\\\" songs = os.listdir(music_dir) print(songs) os.startfile(os.path.join(music_dir,songs[1]))\",\n \"os.listdir(music_dir) print(songs) os.startfile(os.path.join(music_dir,songs[1])) elif \\\"the time\\\" in query: strtime = datetime.datetime.now().strftime(\\\"%H:%M:%S\\\") speak(f\\\"The time\",\n \"query: strtime = datetime.datetime.now().strftime(\\\"%H:%M:%S\\\") speak(f\\\"The time is {strtime}\\\") elif \\\" open pycharm\\\" in\",\n \"wikipedia import webbrowser import os import smtplib engine = pyttsx3.init('sapi5') voices = engine.getProperty('voices')\",\n \"hour < 12: speak(\\\"Good morning\\\") elif hour >= 12 and hour < 18:\",\n \">= 0 and hour < 12: speak(\\\"Good morning\\\") elif hour >= 12 and\",\n \"18: speak(\\\"Good afternoon\\\") else: speak(\\\"Good night\\\") speak(\\\"I am JARVIS how can i help\",\n \"server.close() def wish_me(): hour = int(datetime.datetime.now().hour) if hour >= 0 and hour <\",\n \"It takes microphone input from the user and returns a string :return: \\\"\\\"\\\"\",\n \"morning\\\") elif hour >= 12 and hour < 18: speak(\\\"Good afternoon\\\") else: speak(\\\"Good\",\n \"speak(\\\"Email has been sent\\\") exit() except Exception as e: print(e) speak(\\\"Sorry,I am not\",\n \"hour = int(datetime.datetime.now().hour) if hour >= 0 and hour < 12: speak(\\\"Good morning\\\")\",\n \"am JARVIS how can i help you\\\") if __name__ == '__main__': wish_me() while\",\n \"= \\\"D:\\\\\\\\vijayesh\\\\\\\\music\\\" songs = os.listdir(music_dir) print(songs) os.startfile(os.path.join(music_dir,songs[1])) elif \\\"the time\\\" in query: strtime\",\n \"query: pycharmpath =\\\"C:\\\\\\\\Program Files\\\\\\\\JetBrains\\\\\\\\PyCharm Community Edition 2021\\\" os.startfile(pycharmpath) #elif \\\"open command\\\" in query:\",\n \"takes microphone input from the user and returns a string :return: \\\"\\\"\\\" r\",\n \"# server.ehlo() server.login('<EMAIL>','########') server.sendmail('<EMAIL>',to,content) server.close() def wish_me(): hour = int(datetime.datetime.now().hour) if hour >=\",\n \"wikipedia\\\") query = query.replace('wikipedia','') results = wikipedia.summary(query,sentences=2)#To read more increase sentence to decrease\",\n \"server.connect(\\\"smtp.gmail.com\\\",465) # server.ehlo() server.login('<EMAIL>','########') server.sendmail('<EMAIL>',to,content) server.close() def wish_me(): hour = int(datetime.datetime.now().hour) if hour\",\n \"elif \\\"the time\\\" in query: strtime = datetime.datetime.now().strftime(\\\"%H:%M:%S\\\") speak(f\\\"The time is {strtime}\\\") elif\",\n \"again please\\\") return \\\"None\\\" return query def sendEmail(to,content): server =smtplib.SMTP('smtp.gmail.com',28) # server.connect(\\\"smtp.gmail.com\\\",465) #\",\n \"say\\\")#error present content = take_command() to = \\\"<EMAIL>\\\" sendEmail(to,content) speak(\\\"Email has been sent\\\")\",\n \"string :return: \\\"\\\"\\\" r = sr.Recognizer() with sr.Microphone() as source: print(\\\"Listening...\\\") r.pause_threshold =\",\n \"12: speak(\\\"Good morning\\\") elif hour >= 12 and hour < 18: speak(\\\"Good afternoon\\\")\",\n \"take_command() to = \\\"<EMAIL>\\\" sendEmail(to,content) speak(\\\"Email has been sent\\\") exit() except Exception as\",\n \"to vijesh\\\" in query: try: speak(\\\"What should i say\\\")#error present content = take_command()\",\n \"change the voice to female change 0 to 1. def speak(audio): engine.say(audio) engine.runAndWait()\",\n \"been sent\\\") exit() except Exception as e: print(e) speak(\\\"Sorry,I am not able to\",\n \"a sentence audio = r.listen(source) #Do read details try: print(\\\"Recognizing\\\") query = r.recognize_google(audio,language='en-in')\",\n \"'wikipedia' in query: speak(\\\"Searching wikipedia\\\") query = query.replace('wikipedia','') results = wikipedia.summary(query,sentences=2)#To read more\",\n \"please\\\") return \\\"None\\\" return query def sendEmail(to,content): server =smtplib.SMTP('smtp.gmail.com',28) # server.connect(\\\"smtp.gmail.com\\\",465) # server.ehlo()\",\n \"to complete a sentence audio = r.listen(source) #Do read details try: print(\\\"Recognizing\\\") query\",\n \"in query: music_dir = \\\"D:\\\\\\\\vijayesh\\\\\\\\music\\\" songs = os.listdir(music_dir) print(songs) os.startfile(os.path.join(music_dir,songs[1])) elif \\\"the time\\\"\",\n \"in query: pycharmpath =\\\"C:\\\\\\\\Program Files\\\\\\\\JetBrains\\\\\\\\PyCharm Community Edition 2021\\\" os.startfile(pycharmpath) #elif \\\"open command\\\" in\",\n \"take_command(): \\\"\\\"\\\" It takes microphone input from the user and returns a string\",\n \"engine.say(audio) engine.runAndWait() pass def take_command(): \\\"\\\"\\\" It takes microphone input from the user\",\n \"elif \\\" email to vijayesh\\\" or \\\"email to vijesh\\\" in query: try: speak(\\\"What\",\n \"as source: print(\\\"Listening...\\\") r.pause_threshold = 1.5 # It will wait 1.5 seconds to\",\n \"\\\"path of the particular file like above\\\" # os.startfile(filelocation) elif \\\" email to\",\n \"= query.replace('wikipedia','') results = wikipedia.summary(query,sentences=2)#To read more increase sentence to decrease sentence decreease\",\n \"webbrowser.Chrome.open_new(\\\"youtube.com\\\") webbrowser.open(\\\"youtube.com\\\") elif \\\"open google\\\" in query: webbrowser.open(\\\"google.com\\\") elif \\\"play music\\\" in query:\",\n \"sr.Microphone() as source: print(\\\"Listening...\\\") r.pause_threshold = 1.5 # It will wait 1.5 seconds\",\n \"more increase sentence to decrease sentence decreease sentence speak(\\\"According to wikipedia\\\") #print(results) speak(results)\",\n \"import pyttsx3 import datetime import speech_recognition as sr import wikipedia import webbrowser import\",\n \"input from the user and returns a string :return: \\\"\\\"\\\" r = sr.Recognizer()\",\n \"afternoon\\\") else: speak(\\\"Good night\\\") speak(\\\"I am JARVIS how can i help you\\\") if\",\n \"sendEmail(to,content) speak(\\\"Email has been sent\\\") exit() except Exception as e: print(e) speak(\\\"Sorry,I am\",\n \"query: webbrowser.open(\\\"google.com\\\") elif \\\"play music\\\" in query: music_dir = \\\"D:\\\\\\\\vijayesh\\\\\\\\music\\\" songs = os.listdir(music_dir)\",\n \"smtplib engine = pyttsx3.init('sapi5') voices = engine.getProperty('voices') engine.setProperty('voice', voices[0].id) # To change the\",\n \"# To change the voice to female change 0 to 1. def speak(audio):\",\n \"\\\" open pycharm\\\" in query: pycharmpath =\\\"C:\\\\\\\\Program Files\\\\\\\\JetBrains\\\\\\\\PyCharm Community Edition 2021\\\" os.startfile(pycharmpath) #elif\",\n \"os.startfile(os.path.join(music_dir,songs[1])) elif \\\"the time\\\" in query: strtime = datetime.datetime.now().strftime(\\\"%H:%M:%S\\\") speak(f\\\"The time is {strtime}\\\")\",\n \"webbrowser import os import smtplib engine = pyttsx3.init('sapi5') voices = engine.getProperty('voices') engine.setProperty('voice', voices[0].id)\",\n \"particular file like above\\\" # os.startfile(filelocation) elif \\\" email to vijayesh\\\" or \\\"email\",\n \"read details try: print(\\\"Recognizing\\\") query = r.recognize_google(audio,language='en-in') print(f'user said : {query}\\\\n') except Exception\",\n \"complete a sentence audio = r.listen(source) #Do read details try: print(\\\"Recognizing\\\") query =\",\n \"google\\\" in query: webbrowser.open(\\\"google.com\\\") elif \\\"play music\\\" in query: music_dir = \\\"D:\\\\\\\\vijayesh\\\\\\\\music\\\" songs\",\n \"query: music_dir = \\\"D:\\\\\\\\vijayesh\\\\\\\\music\\\" songs = os.listdir(music_dir) print(songs) os.startfile(os.path.join(music_dir,songs[1])) elif \\\"the time\\\" in\",\n \"in query: strtime = datetime.datetime.now().strftime(\\\"%H:%M:%S\\\") speak(f\\\"The time is {strtime}\\\") elif \\\" open pycharm\\\"\",\n \"pycharm\\\" in query: pycharmpath =\\\"C:\\\\\\\\Program Files\\\\\\\\JetBrains\\\\\\\\PyCharm Community Edition 2021\\\" os.startfile(pycharmpath) #elif \\\"open command\\\"\",\n \"engine = pyttsx3.init('sapi5') voices = engine.getProperty('voices') engine.setProperty('voice', voices[0].id) # To change the voice\",\n \"import wikipedia import webbrowser import os import smtplib engine = pyttsx3.init('sapi5') voices =\",\n \"content = take_command() to = \\\"<EMAIL>\\\" sendEmail(to,content) speak(\\\"Email has been sent\\\") exit() except\",\n \"print(\\\"Say that again please\\\") return \\\"None\\\" return query def sendEmail(to,content): server =smtplib.SMTP('smtp.gmail.com',28) #\",\n \"query = query.replace('wikipedia','') results = wikipedia.summary(query,sentences=2)#To read more increase sentence to decrease sentence\",\n \"with sr.Microphone() as source: print(\\\"Listening...\\\") r.pause_threshold = 1.5 # It will wait 1.5\",\n \"in query: # webbrowser.Chrome.open_new(\\\"youtube.com\\\") webbrowser.open(\\\"youtube.com\\\") elif \\\"open google\\\" in query: webbrowser.open(\\\"google.com\\\") elif \\\"play\",\n \"to 1. def speak(audio): engine.say(audio) engine.runAndWait() pass def take_command(): \\\"\\\"\\\" It takes microphone\",\n \"music\\\" in query: music_dir = \\\"D:\\\\\\\\vijayesh\\\\\\\\music\\\" songs = os.listdir(music_dir) print(songs) os.startfile(os.path.join(music_dir,songs[1])) elif \\\"the\",\n \"elif \\\" open pycharm\\\" in query: pycharmpath =\\\"C:\\\\\\\\Program Files\\\\\\\\JetBrains\\\\\\\\PyCharm Community Edition 2021\\\" os.startfile(pycharmpath)\",\n \"\\\"open command\\\" in query: # filelocation = \\\"path of the particular file like\",\n \"\\\"\\\"\\\" It takes microphone input from the user and returns a string :return:\",\n \"query: speak(\\\"Searching wikipedia\\\") query = query.replace('wikipedia','') results = wikipedia.summary(query,sentences=2)#To read more increase sentence\",\n \"=\\\"C:\\\\\\\\Program Files\\\\\\\\JetBrains\\\\\\\\PyCharm Community Edition 2021\\\" os.startfile(pycharmpath) #elif \\\"open command\\\" in query: # filelocation\",\n \"os import smtplib engine = pyttsx3.init('sapi5') voices = engine.getProperty('voices') engine.setProperty('voice', voices[0].id) # To\",\n \"import speech_recognition as sr import wikipedia import webbrowser import os import smtplib engine\",\n \"music_dir = \\\"D:\\\\\\\\vijayesh\\\\\\\\music\\\" songs = os.listdir(music_dir) print(songs) os.startfile(os.path.join(music_dir,songs[1])) elif \\\"the time\\\" in query:\",\n \"vijayesh\\\" or \\\"email to vijesh\\\" in query: try: speak(\\\"What should i say\\\")#error present\",\n \"filelocation = \\\"path of the particular file like above\\\" # os.startfile(filelocation) elif \\\"\",\n \"# webbrowser.Chrome.open_new(\\\"youtube.com\\\") webbrowser.open(\\\"youtube.com\\\") elif \\\"open google\\\" in query: webbrowser.open(\\\"google.com\\\") elif \\\"play music\\\" in\",\n \"1.5 seconds to complete a sentence audio = r.listen(source) #Do read details try:\",\n \"is {strtime}\\\") elif \\\" open pycharm\\\" in query: pycharmpath =\\\"C:\\\\\\\\Program Files\\\\\\\\JetBrains\\\\\\\\PyCharm Community Edition\",\n \"returns a string :return: \\\"\\\"\\\" r = sr.Recognizer() with sr.Microphone() as source: print(\\\"Listening...\\\")\",\n \"int(datetime.datetime.now().hour) if hour >= 0 and hour < 12: speak(\\\"Good morning\\\") elif hour\",\n \"seconds to complete a sentence audio = r.listen(source) #Do read details try: print(\\\"Recognizing\\\")\",\n \"= 1.5 # It will wait 1.5 seconds to complete a sentence audio\",\n \"= take_command() to = \\\"<EMAIL>\\\" sendEmail(to,content) speak(\\\"Email has been sent\\\") exit() except Exception\",\n \"speech_recognition as sr import wikipedia import webbrowser import os import smtplib engine =\",\n \"To change the voice to female change 0 to 1. def speak(audio): engine.say(audio)\",\n \"query: try: speak(\\\"What should i say\\\")#error present content = take_command() to = \\\"<EMAIL>\\\"\",\n \": {query}\\\\n') except Exception as e: #print(e) print(\\\"Say that again please\\\") return \\\"None\\\"\",\n \"in query: try: speak(\\\"What should i say\\\")#error present content = take_command() to =\",\n \"youtube' in query: # webbrowser.Chrome.open_new(\\\"youtube.com\\\") webbrowser.open(\\\"youtube.com\\\") elif \\\"open google\\\" in query: webbrowser.open(\\\"google.com\\\") elif\",\n \"voice to female change 0 to 1. def speak(audio): engine.say(audio) engine.runAndWait() pass def\",\n \"__name__ == '__main__': wish_me() while True: query =take_command().lower() if 'wikipedia' in query: speak(\\\"Searching\",\n \"query.replace('wikipedia','') results = wikipedia.summary(query,sentences=2)#To read more increase sentence to decrease sentence decreease sentence\",\n \"to wikipedia\\\") #print(results) speak(results) elif 'open youtube' in query: # webbrowser.Chrome.open_new(\\\"youtube.com\\\") webbrowser.open(\\\"youtube.com\\\") elif\",\n \"as sr import wikipedia import webbrowser import os import smtplib engine = pyttsx3.init('sapi5')\",\n \"Exception as e: print(e) speak(\\\"Sorry,I am not able to send this email\\\") exit()\",\n \"sentence decreease sentence speak(\\\"According to wikipedia\\\") #print(results) speak(results) elif 'open youtube' in query:\",\n \"\\\"email to vijesh\\\" in query: try: speak(\\\"What should i say\\\")#error present content =\",\n \"'__main__': wish_me() while True: query =take_command().lower() if 'wikipedia' in query: speak(\\\"Searching wikipedia\\\") query\",\n \"email to vijayesh\\\" or \\\"email to vijesh\\\" in query: try: speak(\\\"What should i\",\n \"microphone input from the user and returns a string :return: \\\"\\\"\\\" r =\",\n \"elif \\\"open google\\\" in query: webbrowser.open(\\\"google.com\\\") elif \\\"play music\\\" in query: music_dir =\",\n \"os.startfile(pycharmpath) #elif \\\"open command\\\" in query: # filelocation = \\\"path of the particular\",\n \"sr import wikipedia import webbrowser import os import smtplib engine = pyttsx3.init('sapi5') voices\",\n \"= r.recognize_google(audio,language='en-in') print(f'user said : {query}\\\\n') except Exception as e: #print(e) print(\\\"Say that\",\n \"help you\\\") if __name__ == '__main__': wish_me() while True: query =take_command().lower() if 'wikipedia'\",\n \"# filelocation = \\\"path of the particular file like above\\\" # os.startfile(filelocation) elif\",\n \"while True: query =take_command().lower() if 'wikipedia' in query: speak(\\\"Searching wikipedia\\\") query = query.replace('wikipedia','')\",\n \"wikipedia\\\") #print(results) speak(results) elif 'open youtube' in query: # webbrowser.Chrome.open_new(\\\"youtube.com\\\") webbrowser.open(\\\"youtube.com\\\") elif \\\"open\",\n \"12 and hour < 18: speak(\\\"Good afternoon\\\") else: speak(\\\"Good night\\\") speak(\\\"I am JARVIS\",\n \"audio = r.listen(source) #Do read details try: print(\\\"Recognizing\\\") query = r.recognize_google(audio,language='en-in') print(f'user said\",\n \"speak(\\\"Good morning\\\") elif hour >= 12 and hour < 18: speak(\\\"Good afternoon\\\") else:\",\n \"strtime = datetime.datetime.now().strftime(\\\"%H:%M:%S\\\") speak(f\\\"The time is {strtime}\\\") elif \\\" open pycharm\\\" in query:\",\n \"= pyttsx3.init('sapi5') voices = engine.getProperty('voices') engine.setProperty('voice', voices[0].id) # To change the voice to\",\n \"wait 1.5 seconds to complete a sentence audio = r.listen(source) #Do read details\",\n \"female change 0 to 1. def speak(audio): engine.say(audio) engine.runAndWait() pass def take_command(): \\\"\\\"\\\"\",\n \"speak(\\\"Good afternoon\\\") else: speak(\\\"Good night\\\") speak(\\\"I am JARVIS how can i help you\\\")\",\n \"sentence to decrease sentence decreease sentence speak(\\\"According to wikipedia\\\") #print(results) speak(results) elif 'open\",\n \"{query}\\\\n') except Exception as e: #print(e) print(\\\"Say that again please\\\") return \\\"None\\\" return\",\n \"server.login('<EMAIL>','########') server.sendmail('<EMAIL>',to,content) server.close() def wish_me(): hour = int(datetime.datetime.now().hour) if hour >= 0 and\",\n \"speak(\\\"I am JARVIS how can i help you\\\") if __name__ == '__main__': wish_me()\",\n \"== '__main__': wish_me() while True: query =take_command().lower() if 'wikipedia' in query: speak(\\\"Searching wikipedia\\\")\",\n \"def speak(audio): engine.say(audio) engine.runAndWait() pass def take_command(): \\\"\\\"\\\" It takes microphone input from\",\n \"speak(\\\"Good night\\\") speak(\\\"I am JARVIS how can i help you\\\") if __name__ ==\",\n \"'open youtube' in query: # webbrowser.Chrome.open_new(\\\"youtube.com\\\") webbrowser.open(\\\"youtube.com\\\") elif \\\"open google\\\" in query: webbrowser.open(\\\"google.com\\\")\",\n \"to = \\\"<EMAIL>\\\" sendEmail(to,content) speak(\\\"Email has been sent\\\") exit() except Exception as e:\",\n \"#Do read details try: print(\\\"Recognizing\\\") query = r.recognize_google(audio,language='en-in') print(f'user said : {query}\\\\n') except\",\n \"pyttsx3 import datetime import speech_recognition as sr import wikipedia import webbrowser import os\",\n \"e: #print(e) print(\\\"Say that again please\\\") return \\\"None\\\" return query def sendEmail(to,content): server\",\n \"elif 'open youtube' in query: # webbrowser.Chrome.open_new(\\\"youtube.com\\\") webbrowser.open(\\\"youtube.com\\\") elif \\\"open google\\\" in query:\",\n \"# It will wait 1.5 seconds to complete a sentence audio = r.listen(source)\",\n \"import smtplib engine = pyttsx3.init('sapi5') voices = engine.getProperty('voices') engine.setProperty('voice', voices[0].id) # To change\",\n \"import datetime import speech_recognition as sr import wikipedia import webbrowser import os import\",\n \"sendEmail(to,content): server =smtplib.SMTP('smtp.gmail.com',28) # server.connect(\\\"smtp.gmail.com\\\",465) # server.ehlo() server.login('<EMAIL>','########') server.sendmail('<EMAIL>',to,content) server.close() def wish_me(): hour\",\n \"#print(e) print(\\\"Say that again please\\\") return \\\"None\\\" return query def sendEmail(to,content): server =smtplib.SMTP('smtp.gmail.com',28)\",\n \"=smtplib.SMTP('smtp.gmail.com',28) # server.connect(\\\"smtp.gmail.com\\\",465) # server.ehlo() server.login('<EMAIL>','########') server.sendmail('<EMAIL>',to,content) server.close() def wish_me(): hour = int(datetime.datetime.now().hour)\",\n \"server.ehlo() server.login('<EMAIL>','########') server.sendmail('<EMAIL>',to,content) server.close() def wish_me(): hour = int(datetime.datetime.now().hour) if hour >= 0\",\n \"elif hour >= 12 and hour < 18: speak(\\\"Good afternoon\\\") else: speak(\\\"Good night\\\")\",\n \"= wikipedia.summary(query,sentences=2)#To read more increase sentence to decrease sentence decreease sentence speak(\\\"According to\",\n \"will wait 1.5 seconds to complete a sentence audio = r.listen(source) #Do read\",\n \"has been sent\\\") exit() except Exception as e: print(e) speak(\\\"Sorry,I am not able\",\n \"\\\"\\\"\\\" r = sr.Recognizer() with sr.Microphone() as source: print(\\\"Listening...\\\") r.pause_threshold = 1.5 #\",\n \"< 12: speak(\\\"Good morning\\\") elif hour >= 12 and hour < 18: speak(\\\"Good\",\n \"True: query =take_command().lower() if 'wikipedia' in query: speak(\\\"Searching wikipedia\\\") query = query.replace('wikipedia','') results\",\n \"and returns a string :return: \\\"\\\"\\\" r = sr.Recognizer() with sr.Microphone() as source:\",\n \"\\\"None\\\" return query def sendEmail(to,content): server =smtplib.SMTP('smtp.gmail.com',28) # server.connect(\\\"smtp.gmail.com\\\",465) # server.ehlo() server.login('<EMAIL>','########') server.sendmail('<EMAIL>',to,content)\",\n \"server.sendmail('<EMAIL>',to,content) server.close() def wish_me(): hour = int(datetime.datetime.now().hour) if hour >= 0 and hour\",\n \"wish_me() while True: query =take_command().lower() if 'wikipedia' in query: speak(\\\"Searching wikipedia\\\") query =\",\n \"decrease sentence decreease sentence speak(\\\"According to wikipedia\\\") #print(results) speak(results) elif 'open youtube' in\",\n \"print(songs) os.startfile(os.path.join(music_dir,songs[1])) elif \\\"the time\\\" in query: strtime = datetime.datetime.now().strftime(\\\"%H:%M:%S\\\") speak(f\\\"The time is\",\n \"in query: # filelocation = \\\"path of the particular file like above\\\" #\",\n \"= \\\"path of the particular file like above\\\" # os.startfile(filelocation) elif \\\" email\",\n \"hour >= 12 and hour < 18: speak(\\\"Good afternoon\\\") else: speak(\\\"Good night\\\") speak(\\\"I\",\n \"in query: speak(\\\"Searching wikipedia\\\") query = query.replace('wikipedia','') results = wikipedia.summary(query,sentences=2)#To read more increase\",\n \"engine.runAndWait() pass def take_command(): \\\"\\\"\\\" It takes microphone input from the user and\",\n \"#print(results) speak(results) elif 'open youtube' in query: # webbrowser.Chrome.open_new(\\\"youtube.com\\\") webbrowser.open(\\\"youtube.com\\\") elif \\\"open google\\\"\",\n \"like above\\\" # os.startfile(filelocation) elif \\\" email to vijayesh\\\" or \\\"email to vijesh\\\"\",\n \"# os.startfile(filelocation) elif \\\" email to vijayesh\\\" or \\\"email to vijesh\\\" in query:\",\n \"exit() except Exception as e: print(e) speak(\\\"Sorry,I am not able to send this\",\n \"r.recognize_google(audio,language='en-in') print(f'user said : {query}\\\\n') except Exception as e: #print(e) print(\\\"Say that again\",\n \"wish_me(): hour = int(datetime.datetime.now().hour) if hour >= 0 and hour < 12: speak(\\\"Good\",\n \"print(\\\"Recognizing\\\") query = r.recognize_google(audio,language='en-in') print(f'user said : {query}\\\\n') except Exception as e: #print(e)\",\n \"< 18: speak(\\\"Good afternoon\\\") else: speak(\\\"Good night\\\") speak(\\\"I am JARVIS how can i\",\n \"voices = engine.getProperty('voices') engine.setProperty('voice', voices[0].id) # To change the voice to female change\",\n \"0 to 1. def speak(audio): engine.say(audio) engine.runAndWait() pass def take_command(): \\\"\\\"\\\" It takes\",\n \"speak(results) elif 'open youtube' in query: # webbrowser.Chrome.open_new(\\\"youtube.com\\\") webbrowser.open(\\\"youtube.com\\\") elif \\\"open google\\\" in\",\n \"server =smtplib.SMTP('smtp.gmail.com',28) # server.connect(\\\"smtp.gmail.com\\\",465) # server.ehlo() server.login('<EMAIL>','########') server.sendmail('<EMAIL>',to,content) server.close() def wish_me(): hour =\",\n \"and hour < 12: speak(\\\"Good morning\\\") elif hour >= 12 and hour <\",\n \"can i help you\\\") if __name__ == '__main__': wish_me() while True: query =take_command().lower()\",\n \"\\\"play music\\\" in query: music_dir = \\\"D:\\\\\\\\vijayesh\\\\\\\\music\\\" songs = os.listdir(music_dir) print(songs) os.startfile(os.path.join(music_dir,songs[1])) elif\",\n \"results = wikipedia.summary(query,sentences=2)#To read more increase sentence to decrease sentence decreease sentence speak(\\\"According\",\n \"= r.listen(source) #Do read details try: print(\\\"Recognizing\\\") query = r.recognize_google(audio,language='en-in') print(f'user said :\",\n \"sentence audio = r.listen(source) #Do read details try: print(\\\"Recognizing\\\") query = r.recognize_google(audio,language='en-in') print(f'user\",\n \"print(\\\"Listening...\\\") r.pause_threshold = 1.5 # It will wait 1.5 seconds to complete a\",\n \"wikipedia.summary(query,sentences=2)#To read more increase sentence to decrease sentence decreease sentence speak(\\\"According to wikipedia\\\")\",\n \"try: speak(\\\"What should i say\\\")#error present content = take_command() to = \\\"<EMAIL>\\\" sendEmail(to,content)\",\n \"how can i help you\\\") if __name__ == '__main__': wish_me() while True: query\",\n \"query =take_command().lower() if 'wikipedia' in query: speak(\\\"Searching wikipedia\\\") query = query.replace('wikipedia','') results =\",\n \"to vijayesh\\\" or \\\"email to vijesh\\\" in query: try: speak(\\\"What should i say\\\")#error\",\n \"speak(audio): engine.say(audio) engine.runAndWait() pass def take_command(): \\\"\\\"\\\" It takes microphone input from the\",\n \"read more increase sentence to decrease sentence decreease sentence speak(\\\"According to wikipedia\\\") #print(results)\",\n \"import os import smtplib engine = pyttsx3.init('sapi5') voices = engine.getProperty('voices') engine.setProperty('voice', voices[0].id) #\",\n \"JARVIS how can i help you\\\") if __name__ == '__main__': wish_me() while True:\",\n \"query def sendEmail(to,content): server =smtplib.SMTP('smtp.gmail.com',28) # server.connect(\\\"smtp.gmail.com\\\",465) # server.ehlo() server.login('<EMAIL>','########') server.sendmail('<EMAIL>',to,content) server.close() def\",\n \"query = r.recognize_google(audio,language='en-in') print(f'user said : {query}\\\\n') except Exception as e: #print(e) print(\\\"Say\",\n \"Exception as e: #print(e) print(\\\"Say that again please\\\") return \\\"None\\\" return query def\",\n \"voices[0].id) # To change the voice to female change 0 to 1. def\",\n \"pass def take_command(): \\\"\\\"\\\" It takes microphone input from the user and returns\",\n \"= \\\"<EMAIL>\\\" sendEmail(to,content) speak(\\\"Email has been sent\\\") exit() except Exception as e: print(e)\",\n \"\\\"<EMAIL>\\\" sendEmail(to,content) speak(\\\"Email has been sent\\\") exit() except Exception as e: print(e) speak(\\\"Sorry,I\",\n \"decreease sentence speak(\\\"According to wikipedia\\\") #print(results) speak(results) elif 'open youtube' in query: #\",\n \"the user and returns a string :return: \\\"\\\"\\\" r = sr.Recognizer() with sr.Microphone()\",\n \"to decrease sentence decreease sentence speak(\\\"According to wikipedia\\\") #print(results) speak(results) elif 'open youtube'\",\n \"return \\\"None\\\" return query def sendEmail(to,content): server =smtplib.SMTP('smtp.gmail.com',28) # server.connect(\\\"smtp.gmail.com\\\",465) # server.ehlo() server.login('<EMAIL>','########')\",\n \"speak(f\\\"The time is {strtime}\\\") elif \\\" open pycharm\\\" in query: pycharmpath =\\\"C:\\\\\\\\Program Files\\\\\\\\JetBrains\\\\\\\\PyCharm\",\n \"1. def speak(audio): engine.say(audio) engine.runAndWait() pass def take_command(): \\\"\\\"\\\" It takes microphone input\",\n \"= os.listdir(music_dir) print(songs) os.startfile(os.path.join(music_dir,songs[1])) elif \\\"the time\\\" in query: strtime = datetime.datetime.now().strftime(\\\"%H:%M:%S\\\") speak(f\\\"The\",\n \"you\\\") if __name__ == '__main__': wish_me() while True: query =take_command().lower() if 'wikipedia' in\",\n \"os.startfile(filelocation) elif \\\" email to vijayesh\\\" or \\\"email to vijesh\\\" in query: try:\",\n \"above\\\" # os.startfile(filelocation) elif \\\" email to vijayesh\\\" or \\\"email to vijesh\\\" in\",\n \"from the user and returns a string :return: \\\"\\\"\\\" r = sr.Recognizer() with\",\n \"\\\" email to vijayesh\\\" or \\\"email to vijesh\\\" in query: try: speak(\\\"What should\",\n \"sent\\\") exit() except Exception as e: print(e) speak(\\\"Sorry,I am not able to send\",\n \"query: # filelocation = \\\"path of the particular file like above\\\" # os.startfile(filelocation)\",\n \"that again please\\\") return \\\"None\\\" return query def sendEmail(to,content): server =smtplib.SMTP('smtp.gmail.com',28) # server.connect(\\\"smtp.gmail.com\\\",465)\",\n \"\\\"the time\\\" in query: strtime = datetime.datetime.now().strftime(\\\"%H:%M:%S\\\") speak(f\\\"The time is {strtime}\\\") elif \\\"\",\n \"except Exception as e: print(e) speak(\\\"Sorry,I am not able to send this email\\\")\",\n \"#elif \\\"open command\\\" in query: # filelocation = \\\"path of the particular file\",\n \"engine.getProperty('voices') engine.setProperty('voice', voices[0].id) # To change the voice to female change 0 to\",\n \"a string :return: \\\"\\\"\\\" r = sr.Recognizer() with sr.Microphone() as source: print(\\\"Listening...\\\") r.pause_threshold\",\n \"datetime.datetime.now().strftime(\\\"%H:%M:%S\\\") speak(f\\\"The time is {strtime}\\\") elif \\\" open pycharm\\\" in query: pycharmpath =\\\"C:\\\\\\\\Program\",\n \"speak(\\\"According to wikipedia\\\") #print(results) speak(results) elif 'open youtube' in query: # webbrowser.Chrome.open_new(\\\"youtube.com\\\") webbrowser.open(\\\"youtube.com\\\")\",\n \"if hour >= 0 and hour < 12: speak(\\\"Good morning\\\") elif hour >=\",\n \"hour >= 0 and hour < 12: speak(\\\"Good morning\\\") elif hour >= 12\",\n \"increase sentence to decrease sentence decreease sentence speak(\\\"According to wikipedia\\\") #print(results) speak(results) elif\",\n \"It will wait 1.5 seconds to complete a sentence audio = r.listen(source) #Do\",\n \"as e: #print(e) print(\\\"Say that again please\\\") return \\\"None\\\" return query def sendEmail(to,content):\",\n \"i say\\\")#error present content = take_command() to = \\\"<EMAIL>\\\" sendEmail(to,content) speak(\\\"Email has been\",\n \"datetime import speech_recognition as sr import wikipedia import webbrowser import os import smtplib\",\n \"engine.setProperty('voice', voices[0].id) # To change the voice to female change 0 to 1.\",\n \"= engine.getProperty('voices') engine.setProperty('voice', voices[0].id) # To change the voice to female change 0\",\n \"and hour < 18: speak(\\\"Good afternoon\\\") else: speak(\\\"Good night\\\") speak(\\\"I am JARVIS how\",\n \"pyttsx3.init('sapi5') voices = engine.getProperty('voices') engine.setProperty('voice', voices[0].id) # To change the voice to female\",\n \"should i say\\\")#error present content = take_command() to = \\\"<EMAIL>\\\" sendEmail(to,content) speak(\\\"Email has\",\n \"def take_command(): \\\"\\\"\\\" It takes microphone input from the user and returns a\",\n \"import webbrowser import os import smtplib engine = pyttsx3.init('sapi5') voices = engine.getProperty('voices') engine.setProperty('voice',\",\n \"file like above\\\" # os.startfile(filelocation) elif \\\" email to vijayesh\\\" or \\\"email to\",\n \"Files\\\\\\\\JetBrains\\\\\\\\PyCharm Community Edition 2021\\\" os.startfile(pycharmpath) #elif \\\"open command\\\" in query: # filelocation =\",\n \"\\\"D:\\\\\\\\vijayesh\\\\\\\\music\\\" songs = os.listdir(music_dir) print(songs) os.startfile(os.path.join(music_dir,songs[1])) elif \\\"the time\\\" in query: strtime =\",\n \"def sendEmail(to,content): server =smtplib.SMTP('smtp.gmail.com',28) # server.connect(\\\"smtp.gmail.com\\\",465) # server.ehlo() server.login('<EMAIL>','########') server.sendmail('<EMAIL>',to,content) server.close() def wish_me():\",\n \"vijesh\\\" in query: try: speak(\\\"What should i say\\\")#error present content = take_command() to\",\n \"r.pause_threshold = 1.5 # It will wait 1.5 seconds to complete a sentence\",\n \"said : {query}\\\\n') except Exception as e: #print(e) print(\\\"Say that again please\\\") return\",\n \"def wish_me(): hour = int(datetime.datetime.now().hour) if hour >= 0 and hour < 12:\",\n \"to female change 0 to 1. def speak(audio): engine.say(audio) engine.runAndWait() pass def take_command():\",\n \"night\\\") speak(\\\"I am JARVIS how can i help you\\\") if __name__ == '__main__':\",\n \"hour < 18: speak(\\\"Good afternoon\\\") else: speak(\\\"Good night\\\") speak(\\\"I am JARVIS how can\",\n \"details try: print(\\\"Recognizing\\\") query = r.recognize_google(audio,language='en-in') print(f'user said : {query}\\\\n') except Exception as\"\n]","isConversational":false}}},{"rowIdx":1283,"cells":{"ngram":{"kind":"list like","value":["for initialize_self_service_recovery_flow_for_browsers Initialize Recovery Flow for Browsers # noqa: E501 \"\"\" pass def","test_initialize_self_service_recovery_flow_without_browser(self): \"\"\"Test case for initialize_self_service_recovery_flow_without_browser Initialize Recovery Flow for APIs, Services, Apps, ...","submit_self_service_logout_flow Complete Self-Service Logout # noqa: E501 \"\"\" pass def test_submit_self_service_logout_flow_without_browser(self): \"\"\"Test case","case for initialize_self_service_login_flow_for_browsers Initialize Login Flow for Browsers # noqa: E501 \"\"\" pass","Apps, ... # noqa: E501 \"\"\" pass def test_initialize_self_service_settings_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_settings_flow_for_browsers","noqa: E501 def tearDown(self): pass def test_admin_create_identity(self): \"\"\"Test case for admin_create_identity Create an","noqa: E501 \"\"\" pass def test_get_self_service_login_flow(self): \"\"\"Test case for get_self_service_login_flow Get Login Flow","\"\"\"Test case for submit_self_service_logout_flow Complete Self-Service Logout # noqa: E501 \"\"\" pass def","test_get_self_service_login_flow(self): \"\"\"Test case for get_self_service_login_flow Get Login Flow # noqa: E501 \"\"\" pass","Perform Logout for APIs, Services, Apps, ... # noqa: E501 \"\"\" pass def","case for submit_self_service_verification_flow Complete Verification Flow # noqa: E501 \"\"\" pass def test_to_session(self):","def test_initialize_self_service_settings_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_settings_flow_for_browsers Initialize Settings Flow for Browsers # noqa:","noqa: E501 \"\"\" pass def test_initialize_self_service_login_flow_without_browser(self): \"\"\"Test case for initialize_self_service_login_flow_without_browser Initialize Login Flow","Login Flow # noqa: E501 \"\"\" pass def test_submit_self_service_logout_flow(self): \"\"\"Test case for submit_self_service_logout_flow","E501 \"\"\" pass def test_get_self_service_login_flow(self): \"\"\"Test case for get_self_service_login_flow Get Login Flow #","test_get_self_service_verification_flow(self): \"\"\"Test case for get_self_service_verification_flow Get Verification Flow # noqa: E501 \"\"\" pass","APIs, Services, Apps, ... # noqa: E501 \"\"\" pass def test_submit_self_service_recovery_flow(self): \"\"\"Test case","Services, Apps, ... # noqa: E501 \"\"\" pass def test_submit_self_service_recovery_flow(self): \"\"\"Test case for","pass def test_admin_update_identity(self): \"\"\"Test case for admin_update_identity Update an Identity # noqa: E501","Initialize Recovery Flow for APIs, Services, Apps, ... # noqa: E501 \"\"\" pass","for Browsers # noqa: E501 \"\"\" pass def test_initialize_self_service_registration_flow_without_browser(self): \"\"\"Test case for initialize_self_service_registration_flow_without_browser","noqa: E501 \"\"\" pass def test_admin_create_self_service_recovery_link(self): \"\"\"Test case for admin_create_self_service_recovery_link Create a Recovery","noqa: E501 \"\"\" pass def test_submit_self_service_logout_flow_without_browser(self): \"\"\"Test case for submit_self_service_logout_flow_without_browser Perform Logout for","Logout URL for Browsers # noqa: E501 \"\"\" pass def test_get_json_schema(self): \"\"\"Test case","for APIs, Services, Apps, ... # noqa: E501 \"\"\" pass def test_submit_self_service_recovery_flow(self): \"\"\"Test","E501 The version of the OpenAPI document: v0.7.0-alpha.1 Contact: <EMAIL> Generated by: https://openapi-generator.tech","\"\"\"Test case for get_self_service_settings_flow Get Settings Flow # noqa: E501 \"\"\" pass def","test_get_self_service_error(self): \"\"\"Test case for get_self_service_error Get Self-Service Errors # noqa: E501 \"\"\" pass","Documentation for all public and administrative Ory Kratos APIs. Public and administrative APIs","for APIs, Services, Apps, ... # noqa: E501 \"\"\" pass def test_initialize_self_service_registration_flow_for_browsers(self): \"\"\"Test","\"\"\" pass def test_create_self_service_logout_flow_url_for_browsers(self): \"\"\"Test case for create_self_service_logout_flow_url_for_browsers Create a Logout URL for","pass def test_get_self_service_registration_flow(self): \"\"\"Test case for get_self_service_registration_flow Get Registration Flow # noqa: E501","pass def test_initialize_self_service_recovery_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_recovery_flow_for_browsers Initialize Recovery Flow for Browsers #","Initialize Settings Flow for Browsers # noqa: E501 \"\"\" pass def test_initialize_self_service_settings_flow_without_browser(self): \"\"\"Test","an Identity # noqa: E501 \"\"\" pass def test_admin_get_identity(self): \"\"\"Test case for admin_get_identity","test_initialize_self_service_login_flow_without_browser(self): \"\"\"Test case for initialize_self_service_login_flow_without_browser Initialize Login Flow for APIs, Services, Apps, ...","protection while administrative APIs should never be exposed without prior authorization. To protect","To protect the administative API port you should use something like Nginx, Ory","# noqa: E501 The version of the OpenAPI document: v0.7.0-alpha.1 Contact: <EMAIL> Generated","Flow for Browsers # noqa: E501 \"\"\" pass def test_initialize_self_service_registration_flow_without_browser(self): \"\"\"Test case for","for initialize_self_service_verification_flow_for_browsers Initialize Verification Flow for Browser Clients # noqa: E501 \"\"\" pass","# noqa: E501 class TestV0alpha1Api(unittest.TestCase): \"\"\"V0alpha1Api unit test stubs\"\"\" def setUp(self): self.api =","an Identity # noqa: E501 \"\"\" pass def test_admin_list_identities(self): \"\"\"Test case for admin_list_identities","on different ports. Public APIs can face the public internet without any protection","Settings Flow # noqa: E501 \"\"\" pass def test_get_self_service_verification_flow(self): \"\"\"Test case for get_self_service_verification_flow","def test_initialize_self_service_recovery_flow_without_browser(self): \"\"\"Test case for initialize_self_service_recovery_flow_without_browser Initialize Recovery Flow for APIs, Services, Apps,","Self-Service Logout # noqa: E501 \"\"\" pass def test_submit_self_service_logout_flow_without_browser(self): \"\"\"Test case for submit_self_service_logout_flow_without_browser","pass def test_initialize_self_service_settings_flow_without_browser(self): \"\"\"Test case for initialize_self_service_settings_flow_without_browser Initialize Settings Flow for APIs, Services,","initialize_self_service_registration_flow_for_browsers Initialize Registration Flow for Browsers # noqa: E501 \"\"\" pass def test_initialize_self_service_registration_flow_without_browser(self):","initialize_self_service_recovery_flow_without_browser Initialize Recovery Flow for APIs, Services, Apps, ... # noqa: E501 \"\"\"","\"\"\"Test case for create_self_service_logout_flow_url_for_browsers Create a Logout URL for Browsers # noqa: E501","# noqa: E501 \"\"\" pass def test_get_self_service_login_flow(self): \"\"\"Test case for get_self_service_login_flow Get Login","def test_initialize_self_service_settings_flow_without_browser(self): \"\"\"Test case for initialize_self_service_settings_flow_without_browser Initialize Settings Flow for APIs, Services, Apps,","# noqa: E501 \"\"\" pass def test_get_self_service_verification_flow(self): \"\"\"Test case for get_self_service_verification_flow Get Verification","pass def test_initialize_self_service_recovery_flow_without_browser(self): \"\"\"Test case for initialize_self_service_recovery_flow_without_browser Initialize Recovery Flow for APIs, Services,","Check Who the Current HTTP Session Belongs To # noqa: E501 \"\"\" pass","Ory Oathkeeper, or any other technology capable of authorizing incoming requests. # noqa:","E501 \"\"\" pass def test_initialize_self_service_settings_flow_without_browser(self): \"\"\"Test case for initialize_self_service_settings_flow_without_browser Initialize Settings Flow for","TestV0alpha1Api(unittest.TestCase): \"\"\"V0alpha1Api unit test stubs\"\"\" def setUp(self): self.api = V0alpha1Api() # noqa: E501","def test_submit_self_service_recovery_flow(self): \"\"\"Test case for submit_self_service_recovery_flow Complete Recovery Flow # noqa: E501 \"\"\"","pass def test_admin_get_identity(self): \"\"\"Test case for admin_get_identity Get an Identity # noqa: E501","case for admin_delete_identity Delete an Identity # noqa: E501 \"\"\" pass def test_admin_get_identity(self):","admin_create_identity Create an Identity # noqa: E501 \"\"\" pass def test_admin_create_self_service_recovery_link(self): \"\"\"Test case","ory_kratos_client from ory_kratos_client.api.v0alpha1_api import V0alpha1Api # noqa: E501 class TestV0alpha1Api(unittest.TestCase): \"\"\"V0alpha1Api unit test","a Login Flow # noqa: E501 \"\"\" pass def test_submit_self_service_logout_flow(self): \"\"\"Test case for","# noqa: E501 \"\"\" pass def test_initialize_self_service_login_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_login_flow_for_browsers Initialize Login","Create a Recovery Link # noqa: E501 \"\"\" pass def test_admin_delete_identity(self): \"\"\"Test case","pass def test_admin_create_identity(self): \"\"\"Test case for admin_create_identity Create an Identity # noqa: E501","while administrative APIs should never be exposed without prior authorization. To protect the","administrative APIs should never be exposed without prior authorization. To protect the administative","get_self_service_recovery_flow Get Recovery Flow # noqa: E501 \"\"\" pass def test_get_self_service_registration_flow(self): \"\"\"Test case","Initialize Login Flow for Browsers # noqa: E501 \"\"\" pass def test_initialize_self_service_login_flow_without_browser(self): \"\"\"Test","def test_submit_self_service_logout_flow_without_browser(self): \"\"\"Test case for submit_self_service_logout_flow_without_browser Perform Logout for APIs, Services, Apps, ...","Flow for APIs, Services, Apps, ... # noqa: E501 \"\"\" pass def test_initialize_self_service_settings_flow_for_browsers(self):","for initialize_self_service_settings_flow_without_browser Initialize Settings Flow for APIs, Services, Apps, ... # noqa: E501","\"\"\" pass def test_get_json_schema(self): \"\"\"Test case for get_json_schema \"\"\" pass def test_get_self_service_error(self): \"\"\"Test","pass def test_get_self_service_recovery_flow(self): \"\"\"Test case for get_self_service_recovery_flow Get Recovery Flow # noqa: E501","\"\"\"Test case for get_self_service_error Get Self-Service Errors # noqa: E501 \"\"\" pass def","test_submit_self_service_logout_flow_without_browser(self): \"\"\"Test case for submit_self_service_logout_flow_without_browser Perform Logout for APIs, Services, Apps, ... #","\"\"\" pass def test_initialize_self_service_settings_flow_without_browser(self): \"\"\"Test case for initialize_self_service_settings_flow_without_browser Initialize Settings Flow for APIs,","Public and administrative APIs are exposed on different ports. Public APIs can face","\"\"\"Test case for get_self_service_verification_flow Get Verification Flow # noqa: E501 \"\"\" pass def","def test_get_self_service_error(self): \"\"\"Test case for get_self_service_error Get Self-Service Errors # noqa: E501 \"\"\"","pass def test_submit_self_service_login_flow(self): \"\"\"Test case for submit_self_service_login_flow Submit a Login Flow # noqa:","Flow for Browsers # noqa: E501 \"\"\" pass def test_initialize_self_service_recovery_flow_without_browser(self): \"\"\"Test case for","\"\"\"Test case for admin_create_identity Create an Identity # noqa: E501 \"\"\" pass def","\"\"\" pass def test_admin_list_identities(self): \"\"\"Test case for admin_list_identities List Identities # noqa: E501","Get Registration Flow # noqa: E501 \"\"\" pass def test_get_self_service_settings_flow(self): \"\"\"Test case for","use something like Nginx, Ory Oathkeeper, or any other technology capable of authorizing","pass def test_submit_self_service_settings_flow(self): \"\"\"Test case for submit_self_service_settings_flow Complete Settings Flow # noqa: E501","Submit a Login Flow # noqa: E501 \"\"\" pass def test_submit_self_service_logout_flow(self): \"\"\"Test case","document: v0.7.0-alpha.1 Contact: <EMAIL> Generated by: https://openapi-generator.tech \"\"\" import unittest import ory_kratos_client from","# noqa: E501 \"\"\" pass def test_initialize_self_service_settings_flow_without_browser(self): \"\"\"Test case for initialize_self_service_settings_flow_without_browser Initialize Settings","Update an Identity # noqa: E501 \"\"\" pass def test_create_self_service_logout_flow_url_for_browsers(self): \"\"\"Test case for","Delete an Identity # noqa: E501 \"\"\" pass def test_admin_get_identity(self): \"\"\"Test case for","# noqa: E501 \"\"\" pass def test_submit_self_service_logout_flow_without_browser(self): \"\"\"Test case for submit_self_service_logout_flow_without_browser Perform Logout","noqa: E501 \"\"\" pass def test_submit_self_service_login_flow(self): \"\"\"Test case for submit_self_service_login_flow Submit a Login","pass def test_initialize_self_service_settings_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_settings_flow_for_browsers Initialize Settings Flow for Browsers #","# noqa: E501 \"\"\" pass def test_initialize_self_service_verification_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_verification_flow_for_browsers Initialize Verification","E501 \"\"\" pass def test_initialize_self_service_settings_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_settings_flow_for_browsers Initialize Settings Flow for","Flow # noqa: E501 \"\"\" pass def test_to_session(self): \"\"\"Test case for to_session Check","for initialize_self_service_verification_flow_without_browser Initialize Verification Flow for APIs, Services, Apps, ... # noqa: E501","Kratos APIs. Public and administrative APIs are exposed on different ports. Public APIs","the administative API port you should use something like Nginx, Ory Oathkeeper, or","pass def test_admin_list_identities(self): \"\"\"Test case for admin_list_identities List Identities # noqa: E501 \"\"\"","case for get_self_service_verification_flow Get Verification Flow # noqa: E501 \"\"\" pass def test_initialize_self_service_login_flow_for_browsers(self):","administative API port you should use something like Nginx, Ory Oathkeeper, or any","Browser Clients # noqa: E501 \"\"\" pass def test_initialize_self_service_verification_flow_without_browser(self): \"\"\"Test case for initialize_self_service_verification_flow_without_browser","\"\"\" pass def test_get_self_service_recovery_flow(self): \"\"\"Test case for get_self_service_recovery_flow Get Recovery Flow # noqa:","Recovery Link # noqa: E501 \"\"\" pass def test_admin_delete_identity(self): \"\"\"Test case for admin_delete_identity","\"\"\" pass def test_initialize_self_service_registration_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_registration_flow_for_browsers Initialize Registration Flow for Browsers","stubs\"\"\" def setUp(self): self.api = V0alpha1Api() # noqa: E501 def tearDown(self): pass def","Flow # noqa: E501 \"\"\" pass def test_get_self_service_registration_flow(self): \"\"\"Test case for get_self_service_registration_flow Get","def test_initialize_self_service_login_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_login_flow_for_browsers Initialize Login Flow for Browsers # noqa:","for Browser Clients # noqa: E501 \"\"\" pass def test_initialize_self_service_verification_flow_without_browser(self): \"\"\"Test case for","initialize_self_service_settings_flow_for_browsers Initialize Settings Flow for Browsers # noqa: E501 \"\"\" pass def test_initialize_self_service_settings_flow_without_browser(self):","Oathkeeper, or any other technology capable of authorizing incoming requests. # noqa: E501","E501 \"\"\" pass def test_admin_get_identity(self): \"\"\"Test case for admin_get_identity Get an Identity #","test_get_json_schema(self): \"\"\"Test case for get_json_schema \"\"\" pass def test_get_self_service_error(self): \"\"\"Test case for get_self_service_error","Self-Service Errors # noqa: E501 \"\"\" pass def test_get_self_service_login_flow(self): \"\"\"Test case for get_self_service_login_flow","pass def test_create_self_service_logout_flow_url_for_browsers(self): \"\"\"Test case for create_self_service_logout_flow_url_for_browsers Create a Logout URL for Browsers","... # noqa: E501 \"\"\" pass def test_submit_self_service_recovery_flow(self): \"\"\"Test case for submit_self_service_recovery_flow Complete","noqa: E501 \"\"\" pass def test_initialize_self_service_registration_flow_without_browser(self): \"\"\"Test case for initialize_self_service_registration_flow_without_browser Initialize Registration Flow","Flow # noqa: E501 \"\"\" pass def test_submit_self_service_registration_flow(self): \"\"\"Test case for submit_self_service_registration_flow Submit","pass def test_initialize_self_service_registration_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_registration_flow_for_browsers Initialize Registration Flow for Browsers #","\"\"\"Test case for get_self_service_recovery_flow Get Recovery Flow # noqa: E501 \"\"\" pass def","APIs. Public and administrative APIs are exposed on different ports. Public APIs can","Flow # noqa: E501 \"\"\" pass def test_submit_self_service_verification_flow(self): \"\"\"Test case for submit_self_service_verification_flow Complete","Who the Current HTTP Session Belongs To # noqa: E501 \"\"\" pass if","def test_initialize_self_service_verification_flow_without_browser(self): \"\"\"Test case for initialize_self_service_verification_flow_without_browser Initialize Verification Flow for APIs, Services, Apps,","noqa: E501 \"\"\" pass def test_initialize_self_service_registration_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_registration_flow_for_browsers Initialize Registration Flow","# noqa: E501 \"\"\" pass def test_admin_create_self_service_recovery_link(self): \"\"\"Test case for admin_create_self_service_recovery_link Create a","case for initialize_self_service_recovery_flow_without_browser Initialize Recovery Flow for APIs, Services, Apps, ... # noqa:","\"\"\" pass def test_get_self_service_login_flow(self): \"\"\"Test case for get_self_service_login_flow Get Login Flow # noqa:","Get Settings Flow # noqa: E501 \"\"\" pass def test_get_self_service_verification_flow(self): \"\"\"Test case for","for initialize_self_service_registration_flow_without_browser Initialize Registration Flow for APIs, Services, Apps, ... # noqa: E501","noqa: E501 The version of the OpenAPI document: v0.7.0-alpha.1 Contact: <EMAIL> Generated by:","case for submit_self_service_logout_flow Complete Self-Service Logout # noqa: E501 \"\"\" pass def test_submit_self_service_logout_flow_without_browser(self):","for submit_self_service_verification_flow Complete Verification Flow # noqa: E501 \"\"\" pass def test_to_session(self): \"\"\"Test","\"\"\"Test case for get_self_service_login_flow Get Login Flow # noqa: E501 \"\"\" pass def","Link # noqa: E501 \"\"\" pass def test_admin_delete_identity(self): \"\"\"Test case for admin_delete_identity Delete","Get Recovery Flow # noqa: E501 \"\"\" pass def test_get_self_service_registration_flow(self): \"\"\"Test case for","Services, Apps, ... # noqa: E501 \"\"\" pass def test_initialize_self_service_settings_flow_for_browsers(self): \"\"\"Test case for","\"\"\"Test case for get_json_schema \"\"\" pass def test_get_self_service_error(self): \"\"\"Test case for get_self_service_error Get","\"\"\"Test case for initialize_self_service_registration_flow_for_browsers Initialize Registration Flow for Browsers # noqa: E501 \"\"\"","Flow for APIs, Services, Apps, ... # noqa: E501 \"\"\" pass def test_initialize_self_service_registration_flow_for_browsers(self):","\"\"\"Test case for admin_delete_identity Delete an Identity # noqa: E501 \"\"\" pass def","pass def test_initialize_self_service_verification_flow_without_browser(self): \"\"\"Test case for initialize_self_service_verification_flow_without_browser Initialize Verification Flow for APIs, Services,","\"\"\"Test case for to_session Check Who the Current HTTP Session Belongs To #","Submit a Registration Flow # noqa: E501 \"\"\" pass def test_submit_self_service_settings_flow(self): \"\"\"Test case","test stubs\"\"\" def setUp(self): self.api = V0alpha1Api() # noqa: E501 def tearDown(self): pass","def test_initialize_self_service_login_flow_without_browser(self): \"\"\"Test case for initialize_self_service_login_flow_without_browser Initialize Login Flow for APIs, Services, Apps,","technology capable of authorizing incoming requests. # noqa: E501 The version of the","noqa: E501 \"\"\" pass def test_submit_self_service_logout_flow(self): \"\"\"Test case for submit_self_service_logout_flow Complete Self-Service Logout","get_json_schema \"\"\" pass def test_get_self_service_error(self): \"\"\"Test case for get_self_service_error Get Self-Service Errors #","case for initialize_self_service_registration_flow_for_browsers Initialize Registration Flow for Browsers # noqa: E501 \"\"\" pass","Flow for APIs, Services, Apps, ... # noqa: E501 \"\"\" pass def test_initialize_self_service_recovery_flow_for_browsers(self):","# noqa: E501 def tearDown(self): pass def test_admin_create_identity(self): \"\"\"Test case for admin_create_identity Create","\"\"\" pass def test_get_self_service_error(self): \"\"\"Test case for get_self_service_error Get Self-Service Errors # noqa:","exposed on different ports. Public APIs can face the public internet without any","Browsers # noqa: E501 \"\"\" pass def test_initialize_self_service_registration_flow_without_browser(self): \"\"\"Test case for initialize_self_service_registration_flow_without_browser Initialize","for submit_self_service_logout_flow_without_browser Perform Logout for APIs, Services, Apps, ... # noqa: E501 \"\"\"","case for admin_create_identity Create an Identity # noqa: E501 \"\"\" pass def test_admin_create_self_service_recovery_link(self):","get_self_service_settings_flow Get Settings Flow # noqa: E501 \"\"\" pass def test_get_self_service_verification_flow(self): \"\"\"Test case","an Identity # noqa: E501 \"\"\" pass def test_create_self_service_logout_flow_url_for_browsers(self): \"\"\"Test case for create_self_service_logout_flow_url_for_browsers","test_submit_self_service_verification_flow(self): \"\"\"Test case for submit_self_service_verification_flow Complete Verification Flow # noqa: E501 \"\"\" pass","noqa: E501 \"\"\" pass def test_initialize_self_service_settings_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_settings_flow_for_browsers Initialize Settings Flow","case for initialize_self_service_registration_flow_without_browser Initialize Registration Flow for APIs, Services, Apps, ... # noqa:","E501 \"\"\" pass def test_get_self_service_recovery_flow(self): \"\"\"Test case for get_self_service_recovery_flow Get Recovery Flow #","Contact: <EMAIL> Generated by: https://openapi-generator.tech \"\"\" import unittest import ory_kratos_client from ory_kratos_client.api.v0alpha1_api import","for Browsers # noqa: E501 \"\"\" pass def test_initialize_self_service_recovery_flow_without_browser(self): \"\"\"Test case for initialize_self_service_recovery_flow_without_browser","test_initialize_self_service_verification_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_verification_flow_for_browsers Initialize Verification Flow for Browser Clients # noqa:","for to_session Check Who the Current HTTP Session Belongs To # noqa: E501","APIs should never be exposed without prior authorization. To protect the administative API","def test_initialize_self_service_registration_flow_without_browser(self): \"\"\"Test case for initialize_self_service_registration_flow_without_browser Initialize Registration Flow for APIs, Services, Apps,","\"\"\" pass def test_to_session(self): \"\"\"Test case for to_session Check Who the Current HTTP","# noqa: E501 \"\"\" pass def test_to_session(self): \"\"\"Test case for to_session Check Who","the Current HTTP Session Belongs To # noqa: E501 \"\"\" pass if __name__","case for admin_create_self_service_recovery_link Create a Recovery Link # noqa: E501 \"\"\" pass def","V0alpha1Api() # noqa: E501 def tearDown(self): pass def test_admin_create_identity(self): \"\"\"Test case for admin_create_identity","submit_self_service_logout_flow_without_browser Perform Logout for APIs, Services, Apps, ... # noqa: E501 \"\"\" pass","a Recovery Link # noqa: E501 \"\"\" pass def test_admin_delete_identity(self): \"\"\"Test case for","def test_admin_delete_identity(self): \"\"\"Test case for admin_delete_identity Delete an Identity # noqa: E501 \"\"\"","for get_self_service_recovery_flow Get Recovery Flow # noqa: E501 \"\"\" pass def test_get_self_service_registration_flow(self): \"\"\"Test","admin_list_identities List Identities # noqa: E501 \"\"\" pass def test_admin_update_identity(self): \"\"\"Test case for","Browsers # noqa: E501 \"\"\" pass def test_initialize_self_service_login_flow_without_browser(self): \"\"\"Test case for initialize_self_service_login_flow_without_browser Initialize","\"\"\" Ory Kratos API Documentation for all public and administrative Ory Kratos APIs.","E501 \"\"\" pass def test_create_self_service_logout_flow_url_for_browsers(self): \"\"\"Test case for create_self_service_logout_flow_url_for_browsers Create a Logout URL","pass def test_get_self_service_verification_flow(self): \"\"\"Test case for get_self_service_verification_flow Get Verification Flow # noqa: E501","for get_self_service_login_flow Get Login Flow # noqa: E501 \"\"\" pass def test_get_self_service_recovery_flow(self): \"\"\"Test","# noqa: E501 \"\"\" pass def test_admin_update_identity(self): \"\"\"Test case for admin_update_identity Update an","test_submit_self_service_settings_flow(self): \"\"\"Test case for submit_self_service_settings_flow Complete Settings Flow # noqa: E501 \"\"\" pass","initialize_self_service_recovery_flow_for_browsers Initialize Recovery Flow for Browsers # noqa: E501 \"\"\" pass def test_initialize_self_service_recovery_flow_without_browser(self):","Flow # noqa: E501 \"\"\" pass def test_submit_self_service_settings_flow(self): \"\"\"Test case for submit_self_service_settings_flow Complete","noqa: E501 \"\"\" pass def test_admin_delete_identity(self): \"\"\"Test case for admin_delete_identity Delete an Identity","E501 \"\"\" pass def test_initialize_self_service_verification_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_verification_flow_for_browsers Initialize Verification Flow for","test_submit_self_service_logout_flow(self): \"\"\"Test case for submit_self_service_logout_flow Complete Self-Service Logout # noqa: E501 \"\"\" pass","\"\"\"Test case for initialize_self_service_settings_flow_without_browser Initialize Settings Flow for APIs, Services, Apps, ... #","create_self_service_logout_flow_url_for_browsers Create a Logout URL for Browsers # noqa: E501 \"\"\" pass def","for admin_create_identity Create an Identity # noqa: E501 \"\"\" pass def test_admin_create_self_service_recovery_link(self): \"\"\"Test","\"\"\"Test case for submit_self_service_login_flow Submit a Login Flow # noqa: E501 \"\"\" pass","\"\"\" pass def test_admin_get_identity(self): \"\"\"Test case for admin_get_identity Get an Identity # noqa:","Clients # noqa: E501 \"\"\" pass def test_initialize_self_service_verification_flow_without_browser(self): \"\"\"Test case for initialize_self_service_verification_flow_without_browser Initialize","Recovery Flow for APIs, Services, Apps, ... # noqa: E501 \"\"\" pass def","The version of the OpenAPI document: v0.7.0-alpha.1 Contact: <EMAIL> Generated by: https://openapi-generator.tech \"\"\"","Apps, ... # noqa: E501 \"\"\" pass def test_initialize_self_service_registration_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_registration_flow_for_browsers","E501 \"\"\" pass def test_initialize_self_service_login_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_login_flow_for_browsers Initialize Login Flow for","of authorizing incoming requests. # noqa: E501 The version of the OpenAPI document:","submit_self_service_settings_flow Complete Settings Flow # noqa: E501 \"\"\" pass def test_submit_self_service_verification_flow(self): \"\"\"Test case","case for submit_self_service_login_flow Submit a Login Flow # noqa: E501 \"\"\" pass def","APIs, Services, Apps, ... # noqa: E501 \"\"\" pass def test_initialize_self_service_registration_flow_for_browsers(self): \"\"\"Test case","\"\"\" pass def test_submit_self_service_registration_flow(self): \"\"\"Test case for submit_self_service_registration_flow Submit a Registration Flow #","E501 \"\"\" pass def test_get_json_schema(self): \"\"\"Test case for get_json_schema \"\"\" pass def test_get_self_service_error(self):","test_admin_list_identities(self): \"\"\"Test case for admin_list_identities List Identities # noqa: E501 \"\"\" pass def","Flow # noqa: E501 \"\"\" pass def test_get_self_service_settings_flow(self): \"\"\"Test case for get_self_service_settings_flow Get","noqa: E501 \"\"\" pass def test_initialize_self_service_recovery_flow_without_browser(self): \"\"\"Test case for initialize_self_service_recovery_flow_without_browser Initialize Recovery Flow","be exposed without prior authorization. To protect the administative API port you should","pass def test_submit_self_service_logout_flow(self): \"\"\"Test case for submit_self_service_logout_flow Complete Self-Service Logout # noqa: E501","noqa: E501 \"\"\" pass def test_get_self_service_settings_flow(self): \"\"\"Test case for get_self_service_settings_flow Get Settings Flow","case for initialize_self_service_login_flow_without_browser Initialize Login Flow for APIs, Services, Apps, ... # noqa:","E501 \"\"\" pass def test_initialize_self_service_recovery_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_recovery_flow_for_browsers Initialize Recovery Flow for","Apps, ... # noqa: E501 \"\"\" pass def test_initialize_self_service_verification_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_verification_flow_for_browsers","Get Login Flow # noqa: E501 \"\"\" pass def test_get_self_service_recovery_flow(self): \"\"\"Test case for","initialize_self_service_verification_flow_without_browser Initialize Verification Flow for APIs, Services, Apps, ... # noqa: E501 \"\"\"","Identity # noqa: E501 \"\"\" pass def test_admin_get_identity(self): \"\"\"Test case for admin_get_identity Get","pass def test_initialize_self_service_verification_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_verification_flow_for_browsers Initialize Verification Flow for Browser Clients","Services, Apps, ... # noqa: E501 \"\"\" pass def test_submit_self_service_login_flow(self): \"\"\"Test case for","noqa: E501 \"\"\" pass def test_submit_self_service_registration_flow(self): \"\"\"Test case for submit_self_service_registration_flow Submit a Registration","https://openapi-generator.tech \"\"\" import unittest import ory_kratos_client from ory_kratos_client.api.v0alpha1_api import V0alpha1Api # noqa: E501","noqa: E501 \"\"\" pass def test_get_self_service_registration_flow(self): \"\"\"Test case for get_self_service_registration_flow Get Registration Flow","\"\"\" pass def test_submit_self_service_logout_flow(self): \"\"\"Test case for submit_self_service_logout_flow Complete Self-Service Logout # noqa:","for all public and administrative Ory Kratos APIs. Public and administrative APIs are","# noqa: E501 \"\"\" pass def test_initialize_self_service_registration_flow_without_browser(self): \"\"\"Test case for initialize_self_service_registration_flow_without_browser Initialize Registration","case for to_session Check Who the Current HTTP Session Belongs To # noqa:","ports. Public APIs can face the public internet without any protection while administrative","test_initialize_self_service_verification_flow_without_browser(self): \"\"\"Test case for initialize_self_service_verification_flow_without_browser Initialize Verification Flow for APIs, Services, Apps, ...","noqa: E501 \"\"\" pass def test_create_self_service_logout_flow_url_for_browsers(self): \"\"\"Test case for create_self_service_logout_flow_url_for_browsers Create a Logout","Ory Kratos API Documentation for all public and administrative Ory Kratos APIs. Public","admin_update_identity Update an Identity # noqa: E501 \"\"\" pass def test_create_self_service_logout_flow_url_for_browsers(self): \"\"\"Test case","pass def test_submit_self_service_logout_flow_without_browser(self): \"\"\"Test case for submit_self_service_logout_flow_without_browser Perform Logout for APIs, Services, Apps,","internet without any protection while administrative APIs should never be exposed without prior","\"\"\" pass def test_initialize_self_service_verification_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_verification_flow_for_browsers Initialize Verification Flow for Browser","Registration Flow # noqa: E501 \"\"\" pass def test_get_self_service_settings_flow(self): \"\"\"Test case for get_self_service_settings_flow","protect the administative API port you should use something like Nginx, Ory Oathkeeper,","and administrative Ory Kratos APIs. Public and administrative APIs are exposed on different","pass def test_initialize_self_service_login_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_login_flow_for_browsers Initialize Login Flow for Browsers #","Initialize Registration Flow for Browsers # noqa: E501 \"\"\" pass def test_initialize_self_service_registration_flow_without_browser(self): \"\"\"Test","\"\"\" pass def test_initialize_self_service_settings_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_settings_flow_for_browsers Initialize Settings Flow for Browsers","E501 \"\"\" pass def test_initialize_self_service_verification_flow_without_browser(self): \"\"\"Test case for initialize_self_service_verification_flow_without_browser Initialize Verification Flow for","test_submit_self_service_login_flow(self): \"\"\"Test case for submit_self_service_login_flow Submit a Login Flow # noqa: E501 \"\"\"","# noqa: E501 \"\"\" pass def test_submit_self_service_logout_flow(self): \"\"\"Test case for submit_self_service_logout_flow Complete Self-Service","\"\"\" pass def test_initialize_self_service_registration_flow_without_browser(self): \"\"\"Test case for initialize_self_service_registration_flow_without_browser Initialize Registration Flow for APIs,","case for get_self_service_settings_flow Get Settings Flow # noqa: E501 \"\"\" pass def test_get_self_service_verification_flow(self):","APIs are exposed on different ports. Public APIs can face the public internet","\"\"\" pass def test_initialize_self_service_recovery_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_recovery_flow_for_browsers Initialize Recovery Flow for Browsers","case for get_json_schema \"\"\" pass def test_get_self_service_error(self): \"\"\"Test case for get_self_service_error Get Self-Service","\"\"\" pass def test_admin_update_identity(self): \"\"\"Test case for admin_update_identity Update an Identity # noqa:","def test_get_self_service_login_flow(self): \"\"\"Test case for get_self_service_login_flow Get Login Flow # noqa: E501 \"\"\"","APIs, Services, Apps, ... # noqa: E501 \"\"\" pass def test_initialize_self_service_settings_flow_for_browsers(self): \"\"\"Test case","any other technology capable of authorizing incoming requests. # noqa: E501 The version","incoming requests. # noqa: E501 The version of the OpenAPI document: v0.7.0-alpha.1 Contact:","admin_create_self_service_recovery_link Create a Recovery Link # noqa: E501 \"\"\" pass def test_admin_delete_identity(self): \"\"\"Test","the public internet without any protection while administrative APIs should never be exposed","Browsers # noqa: E501 \"\"\" pass def test_get_json_schema(self): \"\"\"Test case for get_json_schema \"\"\"","for APIs, Services, Apps, ... # noqa: E501 \"\"\" pass def test_initialize_self_service_verification_flow_for_browsers(self): \"\"\"Test","API port you should use something like Nginx, Ory Oathkeeper, or any other","for Browsers # noqa: E501 \"\"\" pass def test_initialize_self_service_settings_flow_without_browser(self): \"\"\"Test case for initialize_self_service_settings_flow_without_browser","\"\"\"Test case for initialize_self_service_settings_flow_for_browsers Initialize Settings Flow for Browsers # noqa: E501 \"\"\"","E501 \"\"\" pass def test_initialize_self_service_registration_flow_without_browser(self): \"\"\"Test case for initialize_self_service_registration_flow_without_browser Initialize Registration Flow for","def test_create_self_service_logout_flow_url_for_browsers(self): \"\"\"Test case for create_self_service_logout_flow_url_for_browsers Create a Logout URL for Browsers #","\"\"\"Test case for submit_self_service_logout_flow_without_browser Perform Logout for APIs, Services, Apps, ... # noqa:","noqa: E501 \"\"\" pass def test_initialize_self_service_verification_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_verification_flow_for_browsers Initialize Verification Flow","unittest import ory_kratos_client from ory_kratos_client.api.v0alpha1_api import V0alpha1Api # noqa: E501 class TestV0alpha1Api(unittest.TestCase): \"\"\"V0alpha1Api","\"\"\"Test case for submit_self_service_settings_flow Complete Settings Flow # noqa: E501 \"\"\" pass def","Login Flow for APIs, Services, Apps, ... # noqa: E501 \"\"\" pass def","\"\"\"Test case for initialize_self_service_login_flow_for_browsers Initialize Login Flow for Browsers # noqa: E501 \"\"\"","Errors # noqa: E501 \"\"\" pass def test_get_self_service_login_flow(self): \"\"\"Test case for get_self_service_login_flow Get","E501 \"\"\" pass def test_submit_self_service_registration_flow(self): \"\"\"Test case for submit_self_service_registration_flow Submit a Registration Flow","def test_admin_create_identity(self): \"\"\"Test case for admin_create_identity Create an Identity # noqa: E501 \"\"\"","for Browsers # noqa: E501 \"\"\" pass def test_initialize_self_service_login_flow_without_browser(self): \"\"\"Test case for initialize_self_service_login_flow_without_browser","E501 \"\"\" pass def test_initialize_self_service_registration_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_registration_flow_for_browsers Initialize Registration Flow for","OpenAPI document: v0.7.0-alpha.1 Contact: <EMAIL> Generated by: https://openapi-generator.tech \"\"\" import unittest import ory_kratos_client","test_admin_get_identity(self): \"\"\"Test case for admin_get_identity Get an Identity # noqa: E501 \"\"\" pass","for admin_get_identity Get an Identity # noqa: E501 \"\"\" pass def test_admin_list_identities(self): \"\"\"Test","Initialize Settings Flow for APIs, Services, Apps, ... # noqa: E501 \"\"\" pass","ory_kratos_client.api.v0alpha1_api import V0alpha1Api # noqa: E501 class TestV0alpha1Api(unittest.TestCase): \"\"\"V0alpha1Api unit test stubs\"\"\" def","pass def test_get_self_service_error(self): \"\"\"Test case for get_self_service_error Get Self-Service Errors # noqa: E501","Identity # noqa: E501 \"\"\" pass def test_admin_create_self_service_recovery_link(self): \"\"\"Test case for admin_create_self_service_recovery_link Create","for APIs, Services, Apps, ... # noqa: E501 \"\"\" pass def test_initialize_self_service_recovery_flow_for_browsers(self): \"\"\"Test","test_create_self_service_logout_flow_url_for_browsers(self): \"\"\"Test case for create_self_service_logout_flow_url_for_browsers Create a Logout URL for Browsers # noqa:","\"\"\" import unittest import ory_kratos_client from ory_kratos_client.api.v0alpha1_api import V0alpha1Api # noqa: E501 class","Apps, ... # noqa: E501 \"\"\" pass def test_submit_self_service_login_flow(self): \"\"\"Test case for submit_self_service_login_flow","admin_get_identity Get an Identity # noqa: E501 \"\"\" pass def test_admin_list_identities(self): \"\"\"Test case","def setUp(self): self.api = V0alpha1Api() # noqa: E501 def tearDown(self): pass def test_admin_create_identity(self):","the OpenAPI document: v0.7.0-alpha.1 Contact: <EMAIL> Generated by: https://openapi-generator.tech \"\"\" import unittest import","Kratos API Documentation for all public and administrative Ory Kratos APIs. Public and","test_get_self_service_settings_flow(self): \"\"\"Test case for get_self_service_settings_flow Get Settings Flow # noqa: E501 \"\"\" pass","# noqa: E501 \"\"\" pass def test_initialize_self_service_recovery_flow_without_browser(self): \"\"\"Test case for initialize_self_service_recovery_flow_without_browser Initialize Recovery","exposed without prior authorization. To protect the administative API port you should use","E501 \"\"\" pass def test_submit_self_service_logout_flow(self): \"\"\"Test case for submit_self_service_logout_flow Complete Self-Service Logout #","case for submit_self_service_settings_flow Complete Settings Flow # noqa: E501 \"\"\" pass def test_submit_self_service_verification_flow(self):","should use something like Nginx, Ory Oathkeeper, or any other technology capable of","def test_admin_update_identity(self): \"\"\"Test case for admin_update_identity Update an Identity # noqa: E501 \"\"\"","# noqa: E501 \"\"\" pass def test_submit_self_service_verification_flow(self): \"\"\"Test case for submit_self_service_verification_flow Complete Verification","= V0alpha1Api() # noqa: E501 def tearDown(self): pass def test_admin_create_identity(self): \"\"\"Test case for","Complete Recovery Flow # noqa: E501 \"\"\" pass def test_submit_self_service_registration_flow(self): \"\"\"Test case for","E501 \"\"\" pass def test_to_session(self): \"\"\"Test case for to_session Check Who the Current","case for initialize_self_service_settings_flow_without_browser Initialize Settings Flow for APIs, Services, Apps, ... # noqa:","\"\"\"Test case for initialize_self_service_recovery_flow_without_browser Initialize Recovery Flow for APIs, Services, Apps, ... #","for admin_list_identities List Identities # noqa: E501 \"\"\" pass def test_admin_update_identity(self): \"\"\"Test case","Flow # noqa: E501 \"\"\" pass def test_submit_self_service_logout_flow(self): \"\"\"Test case for submit_self_service_logout_flow Complete","Settings Flow for APIs, Services, Apps, ... # noqa: E501 \"\"\" pass def","case for initialize_self_service_verification_flow_for_browsers Initialize Verification Flow for Browser Clients # noqa: E501 \"\"\"","Get Verification Flow # noqa: E501 \"\"\" pass def test_initialize_self_service_login_flow_for_browsers(self): \"\"\"Test case for","self.api = V0alpha1Api() # noqa: E501 def tearDown(self): pass def test_admin_create_identity(self): \"\"\"Test case","test_get_self_service_registration_flow(self): \"\"\"Test case for get_self_service_registration_flow Get Registration Flow # noqa: E501 \"\"\" pass","test_initialize_self_service_settings_flow_without_browser(self): \"\"\"Test case for initialize_self_service_settings_flow_without_browser Initialize Settings Flow for APIs, Services, Apps, ...","initialize_self_service_registration_flow_without_browser Initialize Registration Flow for APIs, Services, Apps, ... # noqa: E501 \"\"\"","Get Self-Service Errors # noqa: E501 \"\"\" pass def test_get_self_service_login_flow(self): \"\"\"Test case for","Logout for APIs, Services, Apps, ... # noqa: E501 \"\"\" pass def test_submit_self_service_recovery_flow(self):","Initialize Login Flow for APIs, Services, Apps, ... # noqa: E501 \"\"\" pass","\"\"\" pass def test_admin_delete_identity(self): \"\"\"Test case for admin_delete_identity Delete an Identity # noqa:","E501 \"\"\" pass def test_submit_self_service_verification_flow(self): \"\"\"Test case for submit_self_service_verification_flow Complete Verification Flow #","\"\"\"Test case for admin_list_identities List Identities # noqa: E501 \"\"\" pass def test_admin_update_identity(self):","test_initialize_self_service_login_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_login_flow_for_browsers Initialize Login Flow for Browsers # noqa: E501","E501 \"\"\" pass def test_admin_list_identities(self): \"\"\"Test case for admin_list_identities List Identities # noqa:","test_initialize_self_service_registration_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_registration_flow_for_browsers Initialize Registration Flow for Browsers # noqa: E501","get_self_service_registration_flow Get Registration Flow # noqa: E501 \"\"\" pass def test_get_self_service_settings_flow(self): \"\"\"Test case","without any protection while administrative APIs should never be exposed without prior authorization.","prior authorization. To protect the administative API port you should use something like","authorization. To protect the administative API port you should use something like Nginx,","\"\"\" pass def test_submit_self_service_recovery_flow(self): \"\"\"Test case for submit_self_service_recovery_flow Complete Recovery Flow # noqa:","noqa: E501 \"\"\" pass def test_get_self_service_recovery_flow(self): \"\"\"Test case for get_self_service_recovery_flow Get Recovery Flow","# noqa: E501 \"\"\" pass def test_initialize_self_service_settings_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_settings_flow_for_browsers Initialize Settings","Flow for Browser Clients # noqa: E501 \"\"\" pass def test_initialize_self_service_verification_flow_without_browser(self): \"\"\"Test case","def test_submit_self_service_login_flow(self): \"\"\"Test case for submit_self_service_login_flow Submit a Login Flow # noqa: E501","\"\"\" pass def test_submit_self_service_verification_flow(self): \"\"\"Test case for submit_self_service_verification_flow Complete Verification Flow # noqa:","def tearDown(self): pass def test_admin_create_identity(self): \"\"\"Test case for admin_create_identity Create an Identity #","E501 def tearDown(self): pass def test_admin_create_identity(self): \"\"\"Test case for admin_create_identity Create an Identity","def test_admin_create_self_service_recovery_link(self): \"\"\"Test case for admin_create_self_service_recovery_link Create a Recovery Link # noqa: E501","E501 \"\"\" pass def test_get_self_service_registration_flow(self): \"\"\"Test case for get_self_service_registration_flow Get Registration Flow #","APIs, Services, Apps, ... # noqa: E501 \"\"\" pass def test_submit_self_service_login_flow(self): \"\"\"Test case","Logout # noqa: E501 \"\"\" pass def test_submit_self_service_logout_flow_without_browser(self): \"\"\"Test case for submit_self_service_logout_flow_without_browser Perform","noqa: E501 \"\"\" pass def test_initialize_self_service_login_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_login_flow_for_browsers Initialize Login Flow","Registration Flow # noqa: E501 \"\"\" pass def test_submit_self_service_settings_flow(self): \"\"\"Test case for submit_self_service_settings_flow","for APIs, Services, Apps, ... # noqa: E501 \"\"\" pass def test_initialize_self_service_settings_flow_for_browsers(self): \"\"\"Test","# noqa: E501 \"\"\" pass def test_admin_list_identities(self): \"\"\"Test case for admin_list_identities List Identities","noqa: E501 \"\"\" pass def test_submit_self_service_verification_flow(self): \"\"\"Test case for submit_self_service_verification_flow Complete Verification Flow","pass def test_initialize_self_service_login_flow_without_browser(self): \"\"\"Test case for initialize_self_service_login_flow_without_browser Initialize Login Flow for APIs, Services,","Identities # noqa: E501 \"\"\" pass def test_admin_update_identity(self): \"\"\"Test case for admin_update_identity Update","\"\"\"Test case for initialize_self_service_verification_flow_for_browsers Initialize Verification Flow for Browser Clients # noqa: E501","pass def test_admin_delete_identity(self): \"\"\"Test case for admin_delete_identity Delete an Identity # noqa: E501","APIs can face the public internet without any protection while administrative APIs should","like Nginx, Ory Oathkeeper, or any other technology capable of authorizing incoming requests.","Settings Flow for Browsers # noqa: E501 \"\"\" pass def test_initialize_self_service_settings_flow_without_browser(self): \"\"\"Test case","a Logout URL for Browsers # noqa: E501 \"\"\" pass def test_get_json_schema(self): \"\"\"Test","\"\"\"Test case for initialize_self_service_recovery_flow_for_browsers Initialize Recovery Flow for Browsers # noqa: E501 \"\"\"","initialize_self_service_verification_flow_for_browsers Initialize Verification Flow for Browser Clients # noqa: E501 \"\"\" pass def","case for submit_self_service_recovery_flow Complete Recovery Flow # noqa: E501 \"\"\" pass def test_submit_self_service_registration_flow(self):","Browsers # noqa: E501 \"\"\" pass def test_initialize_self_service_settings_flow_without_browser(self): \"\"\"Test case for initialize_self_service_settings_flow_without_browser Initialize","# noqa: E501 \"\"\" pass def test_initialize_self_service_registration_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_registration_flow_for_browsers Initialize Registration","def test_submit_self_service_logout_flow(self): \"\"\"Test case for submit_self_service_logout_flow Complete Self-Service Logout # noqa: E501 \"\"\"","# noqa: E501 \"\"\" pass def test_get_self_service_registration_flow(self): \"\"\"Test case for get_self_service_registration_flow Get Registration","\"\"\"Test case for initialize_self_service_registration_flow_without_browser Initialize Registration Flow for APIs, Services, Apps, ... #","E501 \"\"\" pass def test_submit_self_service_login_flow(self): \"\"\"Test case for submit_self_service_login_flow Submit a Login Flow","and administrative APIs are exposed on different ports. Public APIs can face the","\"\"\"Test case for submit_self_service_verification_flow Complete Verification Flow # noqa: E501 \"\"\" pass def","different ports. Public APIs can face the public internet without any protection while","... # noqa: E501 \"\"\" pass def test_initialize_self_service_settings_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_settings_flow_for_browsers Initialize","E501 \"\"\" pass def test_submit_self_service_settings_flow(self): \"\"\"Test case for submit_self_service_settings_flow Complete Settings Flow #","are exposed on different ports. Public APIs can face the public internet without","submit_self_service_verification_flow Complete Verification Flow # noqa: E501 \"\"\" pass def test_to_session(self): \"\"\"Test case","version of the OpenAPI document: v0.7.0-alpha.1 Contact: <EMAIL> Generated by: https://openapi-generator.tech \"\"\" import","test_admin_update_identity(self): \"\"\"Test case for admin_update_identity Update an Identity # noqa: E501 \"\"\" pass","administrative Ory Kratos APIs. Public and administrative APIs are exposed on different ports.","E501 \"\"\" pass def test_submit_self_service_logout_flow_without_browser(self): \"\"\"Test case for submit_self_service_logout_flow_without_browser Perform Logout for APIs,","pass def test_submit_self_service_recovery_flow(self): \"\"\"Test case for submit_self_service_recovery_flow Complete Recovery Flow # noqa: E501","Recovery Flow for Browsers # noqa: E501 \"\"\" pass def test_initialize_self_service_recovery_flow_without_browser(self): \"\"\"Test case","case for admin_update_identity Update an Identity # noqa: E501 \"\"\" pass def test_create_self_service_logout_flow_url_for_browsers(self):","Browsers # noqa: E501 \"\"\" pass def test_initialize_self_service_recovery_flow_without_browser(self): \"\"\"Test case for initialize_self_service_recovery_flow_without_browser Initialize","pass def test_submit_self_service_registration_flow(self): \"\"\"Test case for submit_self_service_registration_flow Submit a Registration Flow # noqa:","def test_initialize_self_service_verification_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_verification_flow_for_browsers Initialize Verification Flow for Browser Clients #","\"\"\" pass def test_admin_create_self_service_recovery_link(self): \"\"\"Test case for admin_create_self_service_recovery_link Create a Recovery Link #","Services, Apps, ... # noqa: E501 \"\"\" pass def test_initialize_self_service_recovery_flow_for_browsers(self): \"\"\"Test case for","\"\"\" pass def test_initialize_self_service_verification_flow_without_browser(self): \"\"\"Test case for initialize_self_service_verification_flow_without_browser Initialize Verification Flow for APIs,","v0.7.0-alpha.1 Contact: <EMAIL> Generated by: https://openapi-generator.tech \"\"\" import unittest import ory_kratos_client from ory_kratos_client.api.v0alpha1_api","Settings Flow # noqa: E501 \"\"\" pass def test_submit_self_service_verification_flow(self): \"\"\"Test case for submit_self_service_verification_flow","def test_get_self_service_recovery_flow(self): \"\"\"Test case for get_self_service_recovery_flow Get Recovery Flow # noqa: E501 \"\"\"","APIs, Services, Apps, ... # noqa: E501 \"\"\" pass def test_initialize_self_service_recovery_flow_for_browsers(self): \"\"\"Test case","for get_json_schema \"\"\" pass def test_get_self_service_error(self): \"\"\"Test case for get_self_service_error Get Self-Service Errors","\"\"\" pass def test_submit_self_service_logout_flow_without_browser(self): \"\"\"Test case for submit_self_service_logout_flow_without_browser Perform Logout for APIs, Services,","administrative APIs are exposed on different ports. Public APIs can face the public","\"\"\" pass def test_submit_self_service_settings_flow(self): \"\"\"Test case for submit_self_service_settings_flow Complete Settings Flow # noqa:","def test_admin_list_identities(self): \"\"\"Test case for admin_list_identities List Identities # noqa: E501 \"\"\" pass","test_admin_create_self_service_recovery_link(self): \"\"\"Test case for admin_create_self_service_recovery_link Create a Recovery Link # noqa: E501 \"\"\"","for submit_self_service_login_flow Submit a Login Flow # noqa: E501 \"\"\" pass def test_submit_self_service_logout_flow(self):","Verification Flow for APIs, Services, Apps, ... # noqa: E501 \"\"\" pass def","... # noqa: E501 \"\"\" pass def test_initialize_self_service_recovery_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_recovery_flow_for_browsers Initialize","for submit_self_service_logout_flow Complete Self-Service Logout # noqa: E501 \"\"\" pass def test_submit_self_service_logout_flow_without_browser(self): \"\"\"Test","get_self_service_verification_flow Get Verification Flow # noqa: E501 \"\"\" pass def test_initialize_self_service_login_flow_for_browsers(self): \"\"\"Test case","port you should use something like Nginx, Ory Oathkeeper, or any other technology","\"\"\" pass def test_initialize_self_service_login_flow_without_browser(self): \"\"\"Test case for initialize_self_service_login_flow_without_browser Initialize Login Flow for APIs,","for initialize_self_service_registration_flow_for_browsers Initialize Registration Flow for Browsers # noqa: E501 \"\"\" pass def","URL for Browsers # noqa: E501 \"\"\" pass def test_get_json_schema(self): \"\"\"Test case for","Apps, ... # noqa: E501 \"\"\" pass def test_submit_self_service_recovery_flow(self): \"\"\"Test case for submit_self_service_recovery_flow","import V0alpha1Api # noqa: E501 class TestV0alpha1Api(unittest.TestCase): \"\"\"V0alpha1Api unit test stubs\"\"\" def setUp(self):","\"\"\"Test case for admin_create_self_service_recovery_link Create a Recovery Link # noqa: E501 \"\"\" pass","test_submit_self_service_recovery_flow(self): \"\"\"Test case for submit_self_service_recovery_flow Complete Recovery Flow # noqa: E501 \"\"\" pass","for get_self_service_verification_flow Get Verification Flow # noqa: E501 \"\"\" pass def test_initialize_self_service_login_flow_for_browsers(self): \"\"\"Test","def test_get_json_schema(self): \"\"\"Test case for get_json_schema \"\"\" pass def test_get_self_service_error(self): \"\"\"Test case for","# noqa: E501 \"\"\" pass def test_admin_delete_identity(self): \"\"\"Test case for admin_delete_identity Delete an","for admin_create_self_service_recovery_link Create a Recovery Link # noqa: E501 \"\"\" pass def test_admin_delete_identity(self):","pass def test_get_self_service_login_flow(self): \"\"\"Test case for get_self_service_login_flow Get Login Flow # noqa: E501","admin_delete_identity Delete an Identity # noqa: E501 \"\"\" pass def test_admin_get_identity(self): \"\"\"Test case","API Documentation for all public and administrative Ory Kratos APIs. Public and administrative","# noqa: E501 \"\"\" pass def test_admin_get_identity(self): \"\"\"Test case for admin_get_identity Get an","def test_get_self_service_verification_flow(self): \"\"\"Test case for get_self_service_verification_flow Get Verification Flow # noqa: E501 \"\"\"","Complete Self-Service Logout # noqa: E501 \"\"\" pass def test_submit_self_service_logout_flow_without_browser(self): \"\"\"Test case for","tearDown(self): pass def test_admin_create_identity(self): \"\"\"Test case for admin_create_identity Create an Identity # noqa:","\"\"\" pass def test_initialize_self_service_login_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_login_flow_for_browsers Initialize Login Flow for Browsers","Initialize Recovery Flow for Browsers # noqa: E501 \"\"\" pass def test_initialize_self_service_recovery_flow_without_browser(self): \"\"\"Test","\"\"\" pass def test_submit_self_service_login_flow(self): \"\"\"Test case for submit_self_service_login_flow Submit a Login Flow #","Initialize Verification Flow for APIs, Services, Apps, ... # noqa: E501 \"\"\" pass","test_submit_self_service_registration_flow(self): \"\"\"Test case for submit_self_service_registration_flow Submit a Registration Flow # noqa: E501 \"\"\"","Create an Identity # noqa: E501 \"\"\" pass def test_admin_create_self_service_recovery_link(self): \"\"\"Test case for","E501 \"\"\" pass def test_initialize_self_service_login_flow_without_browser(self): \"\"\"Test case for initialize_self_service_login_flow_without_browser Initialize Login Flow for","Flow # noqa: E501 \"\"\" pass def test_get_self_service_recovery_flow(self): \"\"\"Test case for get_self_service_recovery_flow Get","Login Flow # noqa: E501 \"\"\" pass def test_get_self_service_recovery_flow(self): \"\"\"Test case for get_self_service_recovery_flow","# noqa: E501 \"\"\" pass def test_submit_self_service_settings_flow(self): \"\"\"Test case for submit_self_service_settings_flow Complete Settings","face the public internet without any protection while administrative APIs should never be","class TestV0alpha1Api(unittest.TestCase): \"\"\"V0alpha1Api unit test stubs\"\"\" def setUp(self): self.api = V0alpha1Api() # noqa:","noqa: E501 \"\"\" pass def test_admin_update_identity(self): \"\"\"Test case for admin_update_identity Update an Identity","for submit_self_service_registration_flow Submit a Registration Flow # noqa: E501 \"\"\" pass def test_submit_self_service_settings_flow(self):","Ory Kratos APIs. Public and administrative APIs are exposed on different ports. Public","Flow for Browsers # noqa: E501 \"\"\" pass def test_initialize_self_service_settings_flow_without_browser(self): \"\"\"Test case for","from ory_kratos_client.api.v0alpha1_api import V0alpha1Api # noqa: E501 class TestV0alpha1Api(unittest.TestCase): \"\"\"V0alpha1Api unit test stubs\"\"\"","Flow # noqa: E501 \"\"\" pass def test_initialize_self_service_login_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_login_flow_for_browsers Initialize","<EMAIL> Generated by: https://openapi-generator.tech \"\"\" import unittest import ory_kratos_client from ory_kratos_client.api.v0alpha1_api import V0alpha1Api","of the OpenAPI document: v0.7.0-alpha.1 Contact: <EMAIL> Generated by: https://openapi-generator.tech \"\"\" import unittest","HTTP Session Belongs To # noqa: E501 \"\"\" pass if __name__ == '__main__':","import ory_kratos_client from ory_kratos_client.api.v0alpha1_api import V0alpha1Api # noqa: E501 class TestV0alpha1Api(unittest.TestCase): \"\"\"V0alpha1Api unit","E501 \"\"\" pass def test_admin_create_self_service_recovery_link(self): \"\"\"Test case for admin_create_self_service_recovery_link Create a Recovery Link","should never be exposed without prior authorization. To protect the administative API port","for admin_update_identity Update an Identity # noqa: E501 \"\"\" pass def test_create_self_service_logout_flow_url_for_browsers(self): \"\"\"Test","Initialize Verification Flow for Browser Clients # noqa: E501 \"\"\" pass def test_initialize_self_service_verification_flow_without_browser(self):","case for get_self_service_registration_flow Get Registration Flow # noqa: E501 \"\"\" pass def test_get_self_service_settings_flow(self):","Services, Apps, ... # noqa: E501 \"\"\" pass def test_initialize_self_service_verification_flow_for_browsers(self): \"\"\"Test case for","... # noqa: E501 \"\"\" pass def test_initialize_self_service_verification_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_verification_flow_for_browsers Initialize","def test_submit_self_service_registration_flow(self): \"\"\"Test case for submit_self_service_registration_flow Submit a Registration Flow # noqa: E501","# noqa: E501 \"\"\" pass def test_initialize_self_service_verification_flow_without_browser(self): \"\"\"Test case for initialize_self_service_verification_flow_without_browser Initialize Verification","Session Belongs To # noqa: E501 \"\"\" pass if __name__ == '__main__': unittest.main()","pass def test_submit_self_service_verification_flow(self): \"\"\"Test case for submit_self_service_verification_flow Complete Verification Flow # noqa: E501","case for initialize_self_service_verification_flow_without_browser Initialize Verification Flow for APIs, Services, Apps, ... # noqa:","Verification Flow # noqa: E501 \"\"\" pass def test_initialize_self_service_login_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_login_flow_for_browsers","\"\"\"Test case for submit_self_service_recovery_flow Complete Recovery Flow # noqa: E501 \"\"\" pass def","get_self_service_error Get Self-Service Errors # noqa: E501 \"\"\" pass def test_get_self_service_login_flow(self): \"\"\"Test case","test_to_session(self): \"\"\"Test case for to_session Check Who the Current HTTP Session Belongs To","Current HTTP Session Belongs To # noqa: E501 \"\"\" pass if __name__ ==","case for initialize_self_service_settings_flow_for_browsers Initialize Settings Flow for Browsers # noqa: E501 \"\"\" pass","can face the public internet without any protection while administrative APIs should never","case for get_self_service_recovery_flow Get Recovery Flow # noqa: E501 \"\"\" pass def test_get_self_service_registration_flow(self):","case for initialize_self_service_recovery_flow_for_browsers Initialize Recovery Flow for Browsers # noqa: E501 \"\"\" pass","def test_to_session(self): \"\"\"Test case for to_session Check Who the Current HTTP Session Belongs","E501 \"\"\" pass def test_get_self_service_verification_flow(self): \"\"\"Test case for get_self_service_verification_flow Get Verification Flow #","E501 \"\"\" pass def test_submit_self_service_recovery_flow(self): \"\"\"Test case for submit_self_service_recovery_flow Complete Recovery Flow #","requests. # noqa: E501 The version of the OpenAPI document: v0.7.0-alpha.1 Contact: <EMAIL>","... # noqa: E501 \"\"\" pass def test_submit_self_service_login_flow(self): \"\"\"Test case for submit_self_service_login_flow Submit","test_initialize_self_service_registration_flow_without_browser(self): \"\"\"Test case for initialize_self_service_registration_flow_without_browser Initialize Registration Flow for APIs, Services, Apps, ...","# noqa: E501 \"\"\" pass def test_initialize_self_service_recovery_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_recovery_flow_for_browsers Initialize Recovery","Identity # noqa: E501 \"\"\" pass def test_create_self_service_logout_flow_url_for_browsers(self): \"\"\"Test case for create_self_service_logout_flow_url_for_browsers Create","noqa: E501 \"\"\" pass def test_to_session(self): \"\"\"Test case for to_session Check Who the","Services, Apps, ... # noqa: E501 \"\"\" pass def test_initialize_self_service_registration_flow_for_browsers(self): \"\"\"Test case for","noqa: E501 class TestV0alpha1Api(unittest.TestCase): \"\"\"V0alpha1Api unit test stubs\"\"\" def setUp(self): self.api = V0alpha1Api()","to_session Check Who the Current HTTP Session Belongs To # noqa: E501 \"\"\"","test_initialize_self_service_recovery_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_recovery_flow_for_browsers Initialize Recovery Flow for Browsers # noqa: E501","def test_admin_get_identity(self): \"\"\"Test case for admin_get_identity Get an Identity # noqa: E501 \"\"\"","# noqa: E501 \"\"\" pass def test_get_self_service_recovery_flow(self): \"\"\"Test case for get_self_service_recovery_flow Get Recovery","for create_self_service_logout_flow_url_for_browsers Create a Logout URL for Browsers # noqa: E501 \"\"\" pass","Nginx, Ory Oathkeeper, or any other technology capable of authorizing incoming requests. #","all public and administrative Ory Kratos APIs. Public and administrative APIs are exposed","case for admin_get_identity Get an Identity # noqa: E501 \"\"\" pass def test_admin_list_identities(self):","Generated by: https://openapi-generator.tech \"\"\" import unittest import ory_kratos_client from ory_kratos_client.api.v0alpha1_api import V0alpha1Api #","initialize_self_service_login_flow_without_browser Initialize Login Flow for APIs, Services, Apps, ... # noqa: E501 \"\"\"","Get an Identity # noqa: E501 \"\"\" pass def test_admin_list_identities(self): \"\"\"Test case for","Recovery Flow # noqa: E501 \"\"\" pass def test_submit_self_service_registration_flow(self): \"\"\"Test case for submit_self_service_registration_flow","for submit_self_service_settings_flow Complete Settings Flow # noqa: E501 \"\"\" pass def test_submit_self_service_verification_flow(self): \"\"\"Test","for initialize_self_service_login_flow_without_browser Initialize Login Flow for APIs, Services, Apps, ... # noqa: E501","\"\"\"Test case for initialize_self_service_verification_flow_without_browser Initialize Verification Flow for APIs, Services, Apps, ... #","unit test stubs\"\"\" def setUp(self): self.api = V0alpha1Api() # noqa: E501 def tearDown(self):","submit_self_service_registration_flow Submit a Registration Flow # noqa: E501 \"\"\" pass def test_submit_self_service_settings_flow(self): \"\"\"Test","Identity # noqa: E501 \"\"\" pass def test_admin_list_identities(self): \"\"\"Test case for admin_list_identities List","noqa: E501 \"\"\" pass def test_admin_get_identity(self): \"\"\"Test case for admin_get_identity Get an Identity","Flow # noqa: E501 \"\"\" pass def test_get_self_service_verification_flow(self): \"\"\"Test case for get_self_service_verification_flow Get","... # noqa: E501 \"\"\" pass def test_initialize_self_service_registration_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_registration_flow_for_browsers Initialize","setUp(self): self.api = V0alpha1Api() # noqa: E501 def tearDown(self): pass def test_admin_create_identity(self): \"\"\"Test","never be exposed without prior authorization. To protect the administative API port you","def test_get_self_service_registration_flow(self): \"\"\"Test case for get_self_service_registration_flow Get Registration Flow # noqa: E501 \"\"\"","Registration Flow for Browsers # noqa: E501 \"\"\" pass def test_initialize_self_service_registration_flow_without_browser(self): \"\"\"Test case","a Registration Flow # noqa: E501 \"\"\" pass def test_submit_self_service_settings_flow(self): \"\"\"Test case for","Apps, ... # noqa: E501 \"\"\" pass def test_initialize_self_service_recovery_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_recovery_flow_for_browsers","Flow for APIs, Services, Apps, ... # noqa: E501 \"\"\" pass def test_initialize_self_service_verification_flow_for_browsers(self):","or any other technology capable of authorizing incoming requests. # noqa: E501 The","Complete Verification Flow # noqa: E501 \"\"\" pass def test_to_session(self): \"\"\"Test case for","public internet without any protection while administrative APIs should never be exposed without","import unittest import ory_kratos_client from ory_kratos_client.api.v0alpha1_api import V0alpha1Api # noqa: E501 class TestV0alpha1Api(unittest.TestCase):","\"\"\" pass def test_get_self_service_verification_flow(self): \"\"\"Test case for get_self_service_verification_flow Get Verification Flow # noqa:","Public APIs can face the public internet without any protection while administrative APIs","\"\"\"V0alpha1Api unit test stubs\"\"\" def setUp(self): self.api = V0alpha1Api() # noqa: E501 def","E501 \"\"\" pass def test_admin_update_identity(self): \"\"\"Test case for admin_update_identity Update an Identity #","noqa: E501 \"\"\" pass def test_submit_self_service_settings_flow(self): \"\"\"Test case for submit_self_service_settings_flow Complete Settings Flow","pass def test_admin_create_self_service_recovery_link(self): \"\"\"Test case for admin_create_self_service_recovery_link Create a Recovery Link # noqa:","for admin_delete_identity Delete an Identity # noqa: E501 \"\"\" pass def test_admin_get_identity(self): \"\"\"Test","noqa: E501 \"\"\" pass def test_submit_self_service_recovery_flow(self): \"\"\"Test case for submit_self_service_recovery_flow Complete Recovery Flow","an Identity # noqa: E501 \"\"\" pass def test_admin_create_self_service_recovery_link(self): \"\"\"Test case for admin_create_self_service_recovery_link","# noqa: E501 \"\"\" pass def test_get_json_schema(self): \"\"\"Test case for get_json_schema \"\"\" pass","for submit_self_service_recovery_flow Complete Recovery Flow # noqa: E501 \"\"\" pass def test_submit_self_service_registration_flow(self): \"\"\"Test","# noqa: E501 \"\"\" pass def test_submit_self_service_registration_flow(self): \"\"\"Test case for submit_self_service_registration_flow Submit a","Complete Settings Flow # noqa: E501 \"\"\" pass def test_submit_self_service_verification_flow(self): \"\"\"Test case for","Login Flow for Browsers # noqa: E501 \"\"\" pass def test_initialize_self_service_login_flow_without_browser(self): \"\"\"Test case","Recovery Flow # noqa: E501 \"\"\" pass def test_get_self_service_registration_flow(self): \"\"\"Test case for get_self_service_registration_flow","for APIs, Services, Apps, ... # noqa: E501 \"\"\" pass def test_submit_self_service_login_flow(self): \"\"\"Test","case for create_self_service_logout_flow_url_for_browsers Create a Logout URL for Browsers # noqa: E501 \"\"\"","\"\"\" pass def test_get_self_service_settings_flow(self): \"\"\"Test case for get_self_service_settings_flow Get Settings Flow # noqa:","Flow for Browsers # noqa: E501 \"\"\" pass def test_initialize_self_service_login_flow_without_browser(self): \"\"\"Test case for","\"\"\"Test case for initialize_self_service_login_flow_without_browser Initialize Login Flow for APIs, Services, Apps, ... #","Verification Flow for Browser Clients # noqa: E501 \"\"\" pass def test_initialize_self_service_verification_flow_without_browser(self): \"\"\"Test","Initialize Registration Flow for APIs, Services, Apps, ... # noqa: E501 \"\"\" pass","for get_self_service_error Get Self-Service Errors # noqa: E501 \"\"\" pass def test_get_self_service_login_flow(self): \"\"\"Test","V0alpha1Api # noqa: E501 class TestV0alpha1Api(unittest.TestCase): \"\"\"V0alpha1Api unit test stubs\"\"\" def setUp(self): self.api","\"\"\"Test case for get_self_service_registration_flow Get Registration Flow # noqa: E501 \"\"\" pass def","Flow for APIs, Services, Apps, ... # noqa: E501 \"\"\" pass def test_submit_self_service_login_flow(self):","def test_submit_self_service_settings_flow(self): \"\"\"Test case for submit_self_service_settings_flow Complete Settings Flow # noqa: E501 \"\"\"","E501 \"\"\" pass def test_admin_delete_identity(self): \"\"\"Test case for admin_delete_identity Delete an Identity #","noqa: E501 \"\"\" pass def test_get_self_service_verification_flow(self): \"\"\"Test case for get_self_service_verification_flow Get Verification Flow","\"\"\"Test case for admin_get_identity Get an Identity # noqa: E501 \"\"\" pass def","def test_initialize_self_service_recovery_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_recovery_flow_for_browsers Initialize Recovery Flow for Browsers # noqa:","APIs, Services, Apps, ... # noqa: E501 \"\"\" pass def test_initialize_self_service_verification_flow_for_browsers(self): \"\"\"Test case","\"\"\" pass def test_get_self_service_registration_flow(self): \"\"\"Test case for get_self_service_registration_flow Get Registration Flow # noqa:","for Browsers # noqa: E501 \"\"\" pass def test_get_json_schema(self): \"\"\"Test case for get_json_schema","case for get_self_service_error Get Self-Service Errors # noqa: E501 \"\"\" pass def test_get_self_service_login_flow(self):","noqa: E501 \"\"\" pass def test_initialize_self_service_verification_flow_without_browser(self): \"\"\"Test case for initialize_self_service_verification_flow_without_browser Initialize Verification Flow","pass def test_to_session(self): \"\"\"Test case for to_session Check Who the Current HTTP Session","noqa: E501 \"\"\" pass def test_admin_list_identities(self): \"\"\"Test case for admin_list_identities List Identities #","noqa: E501 \"\"\" pass def test_get_json_schema(self): \"\"\"Test case for get_json_schema \"\"\" pass def","without prior authorization. To protect the administative API port you should use something","List Identities # noqa: E501 \"\"\" pass def test_admin_update_identity(self): \"\"\"Test case for admin_update_identity","for initialize_self_service_settings_flow_for_browsers Initialize Settings Flow for Browsers # noqa: E501 \"\"\" pass def","# noqa: E501 \"\"\" pass def test_submit_self_service_login_flow(self): \"\"\"Test case for submit_self_service_login_flow Submit a","case for admin_list_identities List Identities # noqa: E501 \"\"\" pass def test_admin_update_identity(self): \"\"\"Test","by: https://openapi-generator.tech \"\"\" import unittest import ory_kratos_client from ory_kratos_client.api.v0alpha1_api import V0alpha1Api # noqa:","test_admin_create_identity(self): \"\"\"Test case for admin_create_identity Create an Identity # noqa: E501 \"\"\" pass","test_initialize_self_service_settings_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_settings_flow_for_browsers Initialize Settings Flow for Browsers # noqa: E501","case for get_self_service_login_flow Get Login Flow # noqa: E501 \"\"\" pass def test_get_self_service_recovery_flow(self):","def test_submit_self_service_verification_flow(self): \"\"\"Test case for submit_self_service_verification_flow Complete Verification Flow # noqa: E501 \"\"\"","for get_self_service_registration_flow Get Registration Flow # noqa: E501 \"\"\" pass def test_get_self_service_settings_flow(self): \"\"\"Test","for get_self_service_settings_flow Get Settings Flow # noqa: E501 \"\"\" pass def test_get_self_service_verification_flow(self): \"\"\"Test","initialize_self_service_settings_flow_without_browser Initialize Settings Flow for APIs, Services, Apps, ... # noqa: E501 \"\"\"","for initialize_self_service_recovery_flow_without_browser Initialize Recovery Flow for APIs, Services, Apps, ... # noqa: E501","Create a Logout URL for Browsers # noqa: E501 \"\"\" pass def test_get_json_schema(self):","case for submit_self_service_logout_flow_without_browser Perform Logout for APIs, Services, Apps, ... # noqa: E501","for initialize_self_service_login_flow_for_browsers Initialize Login Flow for Browsers # noqa: E501 \"\"\" pass def","any protection while administrative APIs should never be exposed without prior authorization. To","submit_self_service_login_flow Submit a Login Flow # noqa: E501 \"\"\" pass def test_submit_self_service_logout_flow(self): \"\"\"Test","Registration Flow for APIs, Services, Apps, ... # noqa: E501 \"\"\" pass def","test_admin_delete_identity(self): \"\"\"Test case for admin_delete_identity Delete an Identity # noqa: E501 \"\"\" pass","# noqa: E501 \"\"\" pass def test_get_self_service_settings_flow(self): \"\"\"Test case for get_self_service_settings_flow Get Settings","E501 \"\"\" pass def test_get_self_service_settings_flow(self): \"\"\"Test case for get_self_service_settings_flow Get Settings Flow #","case for submit_self_service_registration_flow Submit a Registration Flow # noqa: E501 \"\"\" pass def","pass def test_get_json_schema(self): \"\"\"Test case for get_json_schema \"\"\" pass def test_get_self_service_error(self): \"\"\"Test case","def test_initialize_self_service_registration_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_registration_flow_for_browsers Initialize Registration Flow for Browsers # noqa:","pass def test_initialize_self_service_registration_flow_without_browser(self): \"\"\"Test case for initialize_self_service_registration_flow_without_browser Initialize Registration Flow for APIs, Services,","# noqa: E501 \"\"\" pass def test_submit_self_service_recovery_flow(self): \"\"\"Test case for submit_self_service_recovery_flow Complete Recovery","noqa: E501 \"\"\" pass def test_initialize_self_service_recovery_flow_for_browsers(self): \"\"\"Test case for initialize_self_service_recovery_flow_for_browsers Initialize Recovery Flow","test_get_self_service_recovery_flow(self): \"\"\"Test case for get_self_service_recovery_flow Get Recovery Flow # noqa: E501 \"\"\" pass","E501 class TestV0alpha1Api(unittest.TestCase): \"\"\"V0alpha1Api unit test stubs\"\"\" def setUp(self): self.api = V0alpha1Api() #","capable of authorizing incoming requests. # noqa: E501 The version of the OpenAPI","def test_get_self_service_settings_flow(self): \"\"\"Test case for get_self_service_settings_flow Get Settings Flow # noqa: E501 \"\"\"","you should use something like Nginx, Ory Oathkeeper, or any other technology capable","public and administrative Ory Kratos APIs. Public and administrative APIs are exposed on","authorizing incoming requests. # noqa: E501 The version of the OpenAPI document: v0.7.0-alpha.1","\"\"\"Test case for submit_self_service_registration_flow Submit a Registration Flow # noqa: E501 \"\"\" pass","# noqa: E501 \"\"\" pass def test_initialize_self_service_login_flow_without_browser(self): \"\"\"Test case for initialize_self_service_login_flow_without_browser Initialize Login","initialize_self_service_login_flow_for_browsers Initialize Login Flow for Browsers # noqa: E501 \"\"\" pass def test_initialize_self_service_login_flow_without_browser(self):","noqa: E501 \"\"\" pass def test_initialize_self_service_settings_flow_without_browser(self): \"\"\"Test case for initialize_self_service_settings_flow_without_browser Initialize Settings Flow","something like Nginx, Ory Oathkeeper, or any other technology capable of authorizing incoming","pass def test_get_self_service_settings_flow(self): \"\"\"Test case for get_self_service_settings_flow Get Settings Flow # noqa: E501","E501 \"\"\" pass def test_initialize_self_service_recovery_flow_without_browser(self): \"\"\"Test case for initialize_self_service_recovery_flow_without_browser Initialize Recovery Flow for","Verification Flow # noqa: E501 \"\"\" pass def test_to_session(self): \"\"\"Test case for to_session","other technology capable of authorizing incoming requests. # noqa: E501 The version of","# noqa: E501 \"\"\" pass def test_create_self_service_logout_flow_url_for_browsers(self): \"\"\"Test case for create_self_service_logout_flow_url_for_browsers Create a","get_self_service_login_flow Get Login Flow # noqa: E501 \"\"\" pass def test_get_self_service_recovery_flow(self): \"\"\"Test case","submit_self_service_recovery_flow Complete Recovery Flow # noqa: E501 \"\"\" pass def test_submit_self_service_registration_flow(self): \"\"\"Test case","\"\"\"Test case for admin_update_identity Update an Identity # noqa: E501 \"\"\" pass def","\"\"\" pass def test_initialize_self_service_recovery_flow_without_browser(self): \"\"\"Test case for initialize_self_service_recovery_flow_without_browser Initialize Recovery Flow for APIs,"],"string":"[\n \"for initialize_self_service_recovery_flow_for_browsers Initialize Recovery Flow for Browsers # noqa: E501 \\\"\\\"\\\" pass def\",\n \"test_initialize_self_service_recovery_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_recovery_flow_without_browser Initialize Recovery Flow for APIs, Services, Apps, ...\",\n \"submit_self_service_logout_flow Complete Self-Service Logout # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_logout_flow_without_browser(self): \\\"\\\"\\\"Test case\",\n \"case for initialize_self_service_login_flow_for_browsers Initialize Login Flow for Browsers # noqa: E501 \\\"\\\"\\\" pass\",\n \"Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_settings_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_settings_flow_for_browsers\",\n \"noqa: E501 def tearDown(self): pass def test_admin_create_identity(self): \\\"\\\"\\\"Test case for admin_create_identity Create an\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_login_flow(self): \\\"\\\"\\\"Test case for get_self_service_login_flow Get Login Flow\",\n \"\\\"\\\"\\\"Test case for submit_self_service_logout_flow Complete Self-Service Logout # noqa: E501 \\\"\\\"\\\" pass def\",\n \"test_get_self_service_login_flow(self): \\\"\\\"\\\"Test case for get_self_service_login_flow Get Login Flow # noqa: E501 \\\"\\\"\\\" pass\",\n \"Perform Logout for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def\",\n \"case for submit_self_service_verification_flow Complete Verification Flow # noqa: E501 \\\"\\\"\\\" pass def test_to_session(self):\",\n \"def test_initialize_self_service_settings_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_settings_flow_for_browsers Initialize Settings Flow for Browsers # noqa:\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_login_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_login_flow_without_browser Initialize Login Flow\",\n \"Login Flow # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_logout_flow(self): \\\"\\\"\\\"Test case for submit_self_service_logout_flow\",\n \"E501 \\\"\\\"\\\" pass def test_get_self_service_login_flow(self): \\\"\\\"\\\"Test case for get_self_service_login_flow Get Login Flow #\",\n \"test_get_self_service_verification_flow(self): \\\"\\\"\\\"Test case for get_self_service_verification_flow Get Verification Flow # noqa: E501 \\\"\\\"\\\" pass\",\n \"APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_recovery_flow(self): \\\"\\\"\\\"Test case\",\n \"Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_recovery_flow(self): \\\"\\\"\\\"Test case for\",\n \"pass def test_admin_update_identity(self): \\\"\\\"\\\"Test case for admin_update_identity Update an Identity # noqa: E501\",\n \"Initialize Recovery Flow for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass\",\n \"for Browsers # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_registration_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_registration_flow_without_browser\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_admin_create_self_service_recovery_link(self): \\\"\\\"\\\"Test case for admin_create_self_service_recovery_link Create a Recovery\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_logout_flow_without_browser(self): \\\"\\\"\\\"Test case for submit_self_service_logout_flow_without_browser Perform Logout for\",\n \"Logout URL for Browsers # noqa: E501 \\\"\\\"\\\" pass def test_get_json_schema(self): \\\"\\\"\\\"Test case\",\n \"for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_recovery_flow(self): \\\"\\\"\\\"Test\",\n \"E501 The version of the OpenAPI document: v0.7.0-alpha.1 Contact: <EMAIL> Generated by: https://openapi-generator.tech\",\n \"\\\"\\\"\\\"Test case for get_self_service_settings_flow Get Settings Flow # noqa: E501 \\\"\\\"\\\" pass def\",\n \"test_get_self_service_error(self): \\\"\\\"\\\"Test case for get_self_service_error Get Self-Service Errors # noqa: E501 \\\"\\\"\\\" pass\",\n \"Documentation for all public and administrative Ory Kratos APIs. Public and administrative APIs\",\n \"for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_registration_flow_for_browsers(self): \\\"\\\"\\\"Test\",\n \"\\\"\\\"\\\" pass def test_create_self_service_logout_flow_url_for_browsers(self): \\\"\\\"\\\"Test case for create_self_service_logout_flow_url_for_browsers Create a Logout URL for\",\n \"pass def test_get_self_service_registration_flow(self): \\\"\\\"\\\"Test case for get_self_service_registration_flow Get Registration Flow # noqa: E501\",\n \"pass def test_initialize_self_service_recovery_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_recovery_flow_for_browsers Initialize Recovery Flow for Browsers #\",\n \"Initialize Settings Flow for Browsers # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_settings_flow_without_browser(self): \\\"\\\"\\\"Test\",\n \"an Identity # noqa: E501 \\\"\\\"\\\" pass def test_admin_get_identity(self): \\\"\\\"\\\"Test case for admin_get_identity\",\n \"test_initialize_self_service_login_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_login_flow_without_browser Initialize Login Flow for APIs, Services, Apps, ...\",\n \"protection while administrative APIs should never be exposed without prior authorization. To protect\",\n \"To protect the administative API port you should use something like Nginx, Ory\",\n \"# noqa: E501 The version of the OpenAPI document: v0.7.0-alpha.1 Contact: <EMAIL> Generated\",\n \"Flow for Browsers # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_registration_flow_without_browser(self): \\\"\\\"\\\"Test case for\",\n \"for initialize_self_service_verification_flow_for_browsers Initialize Verification Flow for Browser Clients # noqa: E501 \\\"\\\"\\\" pass\",\n \"# noqa: E501 class TestV0alpha1Api(unittest.TestCase): \\\"\\\"\\\"V0alpha1Api unit test stubs\\\"\\\"\\\" def setUp(self): self.api =\",\n \"an Identity # noqa: E501 \\\"\\\"\\\" pass def test_admin_list_identities(self): \\\"\\\"\\\"Test case for admin_list_identities\",\n \"on different ports. Public APIs can face the public internet without any protection\",\n \"Settings Flow # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_verification_flow(self): \\\"\\\"\\\"Test case for get_self_service_verification_flow\",\n \"def test_initialize_self_service_recovery_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_recovery_flow_without_browser Initialize Recovery Flow for APIs, Services, Apps,\",\n \"Self-Service Logout # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_logout_flow_without_browser(self): \\\"\\\"\\\"Test case for submit_self_service_logout_flow_without_browser\",\n \"pass def test_initialize_self_service_settings_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_settings_flow_without_browser Initialize Settings Flow for APIs, Services,\",\n \"initialize_self_service_registration_flow_for_browsers Initialize Registration Flow for Browsers # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_registration_flow_without_browser(self):\",\n \"initialize_self_service_recovery_flow_without_browser Initialize Recovery Flow for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\"\",\n \"\\\"\\\"\\\"Test case for create_self_service_logout_flow_url_for_browsers Create a Logout URL for Browsers # noqa: E501\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_login_flow(self): \\\"\\\"\\\"Test case for get_self_service_login_flow Get Login\",\n \"def test_initialize_self_service_settings_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_settings_flow_without_browser Initialize Settings Flow for APIs, Services, Apps,\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_verification_flow(self): \\\"\\\"\\\"Test case for get_self_service_verification_flow Get Verification\",\n \"pass def test_initialize_self_service_recovery_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_recovery_flow_without_browser Initialize Recovery Flow for APIs, Services,\",\n \"Check Who the Current HTTP Session Belongs To # noqa: E501 \\\"\\\"\\\" pass\",\n \"Ory Oathkeeper, or any other technology capable of authorizing incoming requests. # noqa:\",\n \"E501 \\\"\\\"\\\" pass def test_initialize_self_service_settings_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_settings_flow_without_browser Initialize Settings Flow for\",\n \"TestV0alpha1Api(unittest.TestCase): \\\"\\\"\\\"V0alpha1Api unit test stubs\\\"\\\"\\\" def setUp(self): self.api = V0alpha1Api() # noqa: E501\",\n \"def test_submit_self_service_recovery_flow(self): \\\"\\\"\\\"Test case for submit_self_service_recovery_flow Complete Recovery Flow # noqa: E501 \\\"\\\"\\\"\",\n \"pass def test_admin_get_identity(self): \\\"\\\"\\\"Test case for admin_get_identity Get an Identity # noqa: E501\",\n \"case for admin_delete_identity Delete an Identity # noqa: E501 \\\"\\\"\\\" pass def test_admin_get_identity(self):\",\n \"admin_create_identity Create an Identity # noqa: E501 \\\"\\\"\\\" pass def test_admin_create_self_service_recovery_link(self): \\\"\\\"\\\"Test case\",\n \"ory_kratos_client from ory_kratos_client.api.v0alpha1_api import V0alpha1Api # noqa: E501 class TestV0alpha1Api(unittest.TestCase): \\\"\\\"\\\"V0alpha1Api unit test\",\n \"a Login Flow # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_logout_flow(self): \\\"\\\"\\\"Test case for\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_login_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_login_flow_for_browsers Initialize Login\",\n \"Create a Recovery Link # noqa: E501 \\\"\\\"\\\" pass def test_admin_delete_identity(self): \\\"\\\"\\\"Test case\",\n \"pass def test_admin_create_identity(self): \\\"\\\"\\\"Test case for admin_create_identity Create an Identity # noqa: E501\",\n \"while administrative APIs should never be exposed without prior authorization. To protect the\",\n \"administrative APIs should never be exposed without prior authorization. To protect the administative\",\n \"get_self_service_recovery_flow Get Recovery Flow # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_registration_flow(self): \\\"\\\"\\\"Test case\",\n \"Initialize Login Flow for Browsers # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_login_flow_without_browser(self): \\\"\\\"\\\"Test\",\n \"def test_submit_self_service_logout_flow_without_browser(self): \\\"\\\"\\\"Test case for submit_self_service_logout_flow_without_browser Perform Logout for APIs, Services, Apps, ...\",\n \"Flow for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_settings_flow_for_browsers(self):\",\n \"for initialize_self_service_settings_flow_without_browser Initialize Settings Flow for APIs, Services, Apps, ... # noqa: E501\",\n \"\\\"\\\"\\\" pass def test_get_json_schema(self): \\\"\\\"\\\"Test case for get_json_schema \\\"\\\"\\\" pass def test_get_self_service_error(self): \\\"\\\"\\\"Test\",\n \"pass def test_get_self_service_recovery_flow(self): \\\"\\\"\\\"Test case for get_self_service_recovery_flow Get Recovery Flow # noqa: E501\",\n \"\\\"\\\"\\\"Test case for get_self_service_error Get Self-Service Errors # noqa: E501 \\\"\\\"\\\" pass def\",\n \"test_submit_self_service_logout_flow_without_browser(self): \\\"\\\"\\\"Test case for submit_self_service_logout_flow_without_browser Perform Logout for APIs, Services, Apps, ... #\",\n \"\\\"\\\"\\\" pass def test_initialize_self_service_settings_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_settings_flow_without_browser Initialize Settings Flow for APIs,\",\n \"Public and administrative APIs are exposed on different ports. Public APIs can face\",\n \"\\\"\\\"\\\"Test case for get_self_service_verification_flow Get Verification Flow # noqa: E501 \\\"\\\"\\\" pass def\",\n \"def test_get_self_service_error(self): \\\"\\\"\\\"Test case for get_self_service_error Get Self-Service Errors # noqa: E501 \\\"\\\"\\\"\",\n \"pass def test_submit_self_service_login_flow(self): \\\"\\\"\\\"Test case for submit_self_service_login_flow Submit a Login Flow # noqa:\",\n \"Flow for Browsers # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_recovery_flow_without_browser(self): \\\"\\\"\\\"Test case for\",\n \"\\\"\\\"\\\"Test case for admin_create_identity Create an Identity # noqa: E501 \\\"\\\"\\\" pass def\",\n \"\\\"\\\"\\\" pass def test_admin_list_identities(self): \\\"\\\"\\\"Test case for admin_list_identities List Identities # noqa: E501\",\n \"Get Registration Flow # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_settings_flow(self): \\\"\\\"\\\"Test case for\",\n \"use something like Nginx, Ory Oathkeeper, or any other technology capable of authorizing\",\n \"pass def test_submit_self_service_settings_flow(self): \\\"\\\"\\\"Test case for submit_self_service_settings_flow Complete Settings Flow # noqa: E501\",\n \"Submit a Login Flow # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_logout_flow(self): \\\"\\\"\\\"Test case\",\n \"document: v0.7.0-alpha.1 Contact: <EMAIL> Generated by: https://openapi-generator.tech \\\"\\\"\\\" import unittest import ory_kratos_client from\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_settings_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_settings_flow_without_browser Initialize Settings\",\n \"Update an Identity # noqa: E501 \\\"\\\"\\\" pass def test_create_self_service_logout_flow_url_for_browsers(self): \\\"\\\"\\\"Test case for\",\n \"Delete an Identity # noqa: E501 \\\"\\\"\\\" pass def test_admin_get_identity(self): \\\"\\\"\\\"Test case for\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_logout_flow_without_browser(self): \\\"\\\"\\\"Test case for submit_self_service_logout_flow_without_browser Perform Logout\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_login_flow(self): \\\"\\\"\\\"Test case for submit_self_service_login_flow Submit a Login\",\n \"pass def test_initialize_self_service_settings_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_settings_flow_for_browsers Initialize Settings Flow for Browsers #\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_verification_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_verification_flow_for_browsers Initialize Verification\",\n \"E501 \\\"\\\"\\\" pass def test_initialize_self_service_settings_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_settings_flow_for_browsers Initialize Settings Flow for\",\n \"Flow # noqa: E501 \\\"\\\"\\\" pass def test_to_session(self): \\\"\\\"\\\"Test case for to_session Check\",\n \"for initialize_self_service_verification_flow_without_browser Initialize Verification Flow for APIs, Services, Apps, ... # noqa: E501\",\n \"Kratos APIs. Public and administrative APIs are exposed on different ports. Public APIs\",\n \"the administative API port you should use something like Nginx, Ory Oathkeeper, or\",\n \"pass def test_admin_list_identities(self): \\\"\\\"\\\"Test case for admin_list_identities List Identities # noqa: E501 \\\"\\\"\\\"\",\n \"case for get_self_service_verification_flow Get Verification Flow # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_login_flow_for_browsers(self):\",\n \"administative API port you should use something like Nginx, Ory Oathkeeper, or any\",\n \"Browser Clients # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_verification_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_verification_flow_without_browser\",\n \"\\\"\\\"\\\" pass def test_get_self_service_recovery_flow(self): \\\"\\\"\\\"Test case for get_self_service_recovery_flow Get Recovery Flow # noqa:\",\n \"Recovery Link # noqa: E501 \\\"\\\"\\\" pass def test_admin_delete_identity(self): \\\"\\\"\\\"Test case for admin_delete_identity\",\n \"\\\"\\\"\\\" pass def test_initialize_self_service_registration_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_registration_flow_for_browsers Initialize Registration Flow for Browsers\",\n \"stubs\\\"\\\"\\\" def setUp(self): self.api = V0alpha1Api() # noqa: E501 def tearDown(self): pass def\",\n \"Flow # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_registration_flow(self): \\\"\\\"\\\"Test case for get_self_service_registration_flow Get\",\n \"def test_initialize_self_service_login_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_login_flow_for_browsers Initialize Login Flow for Browsers # noqa:\",\n \"for Browser Clients # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_verification_flow_without_browser(self): \\\"\\\"\\\"Test case for\",\n \"initialize_self_service_settings_flow_for_browsers Initialize Settings Flow for Browsers # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_settings_flow_without_browser(self):\",\n \"Oathkeeper, or any other technology capable of authorizing incoming requests. # noqa: E501\",\n \"E501 \\\"\\\"\\\" pass def test_admin_get_identity(self): \\\"\\\"\\\"Test case for admin_get_identity Get an Identity #\",\n \"test_get_json_schema(self): \\\"\\\"\\\"Test case for get_json_schema \\\"\\\"\\\" pass def test_get_self_service_error(self): \\\"\\\"\\\"Test case for get_self_service_error\",\n \"Self-Service Errors # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_login_flow(self): \\\"\\\"\\\"Test case for get_self_service_login_flow\",\n \"pass def test_create_self_service_logout_flow_url_for_browsers(self): \\\"\\\"\\\"Test case for create_self_service_logout_flow_url_for_browsers Create a Logout URL for Browsers\",\n \"... # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_recovery_flow(self): \\\"\\\"\\\"Test case for submit_self_service_recovery_flow Complete\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_registration_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_registration_flow_without_browser Initialize Registration Flow\",\n \"Flow # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_registration_flow(self): \\\"\\\"\\\"Test case for submit_self_service_registration_flow Submit\",\n \"pass def test_initialize_self_service_registration_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_registration_flow_for_browsers Initialize Registration Flow for Browsers #\",\n \"\\\"\\\"\\\"Test case for get_self_service_recovery_flow Get Recovery Flow # noqa: E501 \\\"\\\"\\\" pass def\",\n \"APIs. Public and administrative APIs are exposed on different ports. Public APIs can\",\n \"Flow # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_verification_flow(self): \\\"\\\"\\\"Test case for submit_self_service_verification_flow Complete\",\n \"Who the Current HTTP Session Belongs To # noqa: E501 \\\"\\\"\\\" pass if\",\n \"def test_initialize_self_service_verification_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_verification_flow_without_browser Initialize Verification Flow for APIs, Services, Apps,\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_registration_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_registration_flow_for_browsers Initialize Registration Flow\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_admin_create_self_service_recovery_link(self): \\\"\\\"\\\"Test case for admin_create_self_service_recovery_link Create a\",\n \"case for initialize_self_service_recovery_flow_without_browser Initialize Recovery Flow for APIs, Services, Apps, ... # noqa:\",\n \"\\\"\\\"\\\" pass def test_get_self_service_login_flow(self): \\\"\\\"\\\"Test case for get_self_service_login_flow Get Login Flow # noqa:\",\n \"Get Settings Flow # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_verification_flow(self): \\\"\\\"\\\"Test case for\",\n \"for initialize_self_service_registration_flow_without_browser Initialize Registration Flow for APIs, Services, Apps, ... # noqa: E501\",\n \"noqa: E501 The version of the OpenAPI document: v0.7.0-alpha.1 Contact: <EMAIL> Generated by:\",\n \"case for submit_self_service_logout_flow Complete Self-Service Logout # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_logout_flow_without_browser(self):\",\n \"for submit_self_service_verification_flow Complete Verification Flow # noqa: E501 \\\"\\\"\\\" pass def test_to_session(self): \\\"\\\"\\\"Test\",\n \"\\\"\\\"\\\"Test case for get_self_service_login_flow Get Login Flow # noqa: E501 \\\"\\\"\\\" pass def\",\n \"Link # noqa: E501 \\\"\\\"\\\" pass def test_admin_delete_identity(self): \\\"\\\"\\\"Test case for admin_delete_identity Delete\",\n \"Get Recovery Flow # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_registration_flow(self): \\\"\\\"\\\"Test case for\",\n \"Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_settings_flow_for_browsers(self): \\\"\\\"\\\"Test case for\",\n \"\\\"\\\"\\\"Test case for get_json_schema \\\"\\\"\\\" pass def test_get_self_service_error(self): \\\"\\\"\\\"Test case for get_self_service_error Get\",\n \"\\\"\\\"\\\"Test case for initialize_self_service_registration_flow_for_browsers Initialize Registration Flow for Browsers # noqa: E501 \\\"\\\"\\\"\",\n \"Flow for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_registration_flow_for_browsers(self):\",\n \"\\\"\\\"\\\"Test case for admin_delete_identity Delete an Identity # noqa: E501 \\\"\\\"\\\" pass def\",\n \"pass def test_initialize_self_service_verification_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_verification_flow_without_browser Initialize Verification Flow for APIs, Services,\",\n \"\\\"\\\"\\\"Test case for to_session Check Who the Current HTTP Session Belongs To #\",\n \"Submit a Registration Flow # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_settings_flow(self): \\\"\\\"\\\"Test case\",\n \"test stubs\\\"\\\"\\\" def setUp(self): self.api = V0alpha1Api() # noqa: E501 def tearDown(self): pass\",\n \"def test_initialize_self_service_login_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_login_flow_without_browser Initialize Login Flow for APIs, Services, Apps,\",\n \"technology capable of authorizing incoming requests. # noqa: E501 The version of the\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_logout_flow(self): \\\"\\\"\\\"Test case for submit_self_service_logout_flow Complete Self-Service Logout\",\n \"get_json_schema \\\"\\\"\\\" pass def test_get_self_service_error(self): \\\"\\\"\\\"Test case for get_self_service_error Get Self-Service Errors #\",\n \"case for initialize_self_service_registration_flow_for_browsers Initialize Registration Flow for Browsers # noqa: E501 \\\"\\\"\\\" pass\",\n \"Flow for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_recovery_flow_for_browsers(self):\",\n \"# noqa: E501 def tearDown(self): pass def test_admin_create_identity(self): \\\"\\\"\\\"Test case for admin_create_identity Create\",\n \"\\\"\\\"\\\" pass def test_get_self_service_error(self): \\\"\\\"\\\"Test case for get_self_service_error Get Self-Service Errors # noqa:\",\n \"exposed on different ports. Public APIs can face the public internet without any\",\n \"Browsers # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_registration_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_registration_flow_without_browser Initialize\",\n \"for submit_self_service_logout_flow_without_browser Perform Logout for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\"\",\n \"case for admin_create_identity Create an Identity # noqa: E501 \\\"\\\"\\\" pass def test_admin_create_self_service_recovery_link(self):\",\n \"get_self_service_settings_flow Get Settings Flow # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_verification_flow(self): \\\"\\\"\\\"Test case\",\n \"an Identity # noqa: E501 \\\"\\\"\\\" pass def test_create_self_service_logout_flow_url_for_browsers(self): \\\"\\\"\\\"Test case for create_self_service_logout_flow_url_for_browsers\",\n \"test_submit_self_service_verification_flow(self): \\\"\\\"\\\"Test case for submit_self_service_verification_flow Complete Verification Flow # noqa: E501 \\\"\\\"\\\" pass\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_settings_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_settings_flow_for_browsers Initialize Settings Flow\",\n \"case for initialize_self_service_registration_flow_without_browser Initialize Registration Flow for APIs, Services, Apps, ... # noqa:\",\n \"E501 \\\"\\\"\\\" pass def test_get_self_service_recovery_flow(self): \\\"\\\"\\\"Test case for get_self_service_recovery_flow Get Recovery Flow #\",\n \"Contact: <EMAIL> Generated by: https://openapi-generator.tech \\\"\\\"\\\" import unittest import ory_kratos_client from ory_kratos_client.api.v0alpha1_api import\",\n \"for Browsers # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_recovery_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_recovery_flow_without_browser\",\n \"test_initialize_self_service_verification_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_verification_flow_for_browsers Initialize Verification Flow for Browser Clients # noqa:\",\n \"for to_session Check Who the Current HTTP Session Belongs To # noqa: E501\",\n \"APIs should never be exposed without prior authorization. To protect the administative API\",\n \"def test_initialize_self_service_registration_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_registration_flow_without_browser Initialize Registration Flow for APIs, Services, Apps,\",\n \"\\\"\\\"\\\" pass def test_to_session(self): \\\"\\\"\\\"Test case for to_session Check Who the Current HTTP\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_to_session(self): \\\"\\\"\\\"Test case for to_session Check Who\",\n \"the Current HTTP Session Belongs To # noqa: E501 \\\"\\\"\\\" pass if __name__\",\n \"case for admin_create_self_service_recovery_link Create a Recovery Link # noqa: E501 \\\"\\\"\\\" pass def\",\n \"V0alpha1Api() # noqa: E501 def tearDown(self): pass def test_admin_create_identity(self): \\\"\\\"\\\"Test case for admin_create_identity\",\n \"submit_self_service_logout_flow_without_browser Perform Logout for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass\",\n \"a Recovery Link # noqa: E501 \\\"\\\"\\\" pass def test_admin_delete_identity(self): \\\"\\\"\\\"Test case for\",\n \"def test_admin_delete_identity(self): \\\"\\\"\\\"Test case for admin_delete_identity Delete an Identity # noqa: E501 \\\"\\\"\\\"\",\n \"for get_self_service_recovery_flow Get Recovery Flow # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_registration_flow(self): \\\"\\\"\\\"Test\",\n \"admin_list_identities List Identities # noqa: E501 \\\"\\\"\\\" pass def test_admin_update_identity(self): \\\"\\\"\\\"Test case for\",\n \"Browsers # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_login_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_login_flow_without_browser Initialize\",\n \"\\\"\\\"\\\" Ory Kratos API Documentation for all public and administrative Ory Kratos APIs.\",\n \"E501 \\\"\\\"\\\" pass def test_create_self_service_logout_flow_url_for_browsers(self): \\\"\\\"\\\"Test case for create_self_service_logout_flow_url_for_browsers Create a Logout URL\",\n \"pass def test_get_self_service_verification_flow(self): \\\"\\\"\\\"Test case for get_self_service_verification_flow Get Verification Flow # noqa: E501\",\n \"for get_self_service_login_flow Get Login Flow # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_recovery_flow(self): \\\"\\\"\\\"Test\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_admin_update_identity(self): \\\"\\\"\\\"Test case for admin_update_identity Update an\",\n \"test_submit_self_service_settings_flow(self): \\\"\\\"\\\"Test case for submit_self_service_settings_flow Complete Settings Flow # noqa: E501 \\\"\\\"\\\" pass\",\n \"initialize_self_service_recovery_flow_for_browsers Initialize Recovery Flow for Browsers # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_recovery_flow_without_browser(self):\",\n \"Flow # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_settings_flow(self): \\\"\\\"\\\"Test case for submit_self_service_settings_flow Complete\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_admin_delete_identity(self): \\\"\\\"\\\"Test case for admin_delete_identity Delete an Identity\",\n \"E501 \\\"\\\"\\\" pass def test_initialize_self_service_verification_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_verification_flow_for_browsers Initialize Verification Flow for\",\n \"test_submit_self_service_logout_flow(self): \\\"\\\"\\\"Test case for submit_self_service_logout_flow Complete Self-Service Logout # noqa: E501 \\\"\\\"\\\" pass\",\n \"\\\"\\\"\\\"Test case for initialize_self_service_settings_flow_without_browser Initialize Settings Flow for APIs, Services, Apps, ... #\",\n \"create_self_service_logout_flow_url_for_browsers Create a Logout URL for Browsers # noqa: E501 \\\"\\\"\\\" pass def\",\n \"for admin_create_identity Create an Identity # noqa: E501 \\\"\\\"\\\" pass def test_admin_create_self_service_recovery_link(self): \\\"\\\"\\\"Test\",\n \"\\\"\\\"\\\"Test case for submit_self_service_login_flow Submit a Login Flow # noqa: E501 \\\"\\\"\\\" pass\",\n \"\\\"\\\"\\\" pass def test_admin_get_identity(self): \\\"\\\"\\\"Test case for admin_get_identity Get an Identity # noqa:\",\n \"Clients # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_verification_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_verification_flow_without_browser Initialize\",\n \"Recovery Flow for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def\",\n \"The version of the OpenAPI document: v0.7.0-alpha.1 Contact: <EMAIL> Generated by: https://openapi-generator.tech \\\"\\\"\\\"\",\n \"Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_registration_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_registration_flow_for_browsers\",\n \"E501 \\\"\\\"\\\" pass def test_initialize_self_service_login_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_login_flow_for_browsers Initialize Login Flow for\",\n \"of authorizing incoming requests. # noqa: E501 The version of the OpenAPI document:\",\n \"submit_self_service_settings_flow Complete Settings Flow # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_verification_flow(self): \\\"\\\"\\\"Test case\",\n \"case for submit_self_service_login_flow Submit a Login Flow # noqa: E501 \\\"\\\"\\\" pass def\",\n \"APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_registration_flow_for_browsers(self): \\\"\\\"\\\"Test case\",\n \"\\\"\\\"\\\" pass def test_submit_self_service_registration_flow(self): \\\"\\\"\\\"Test case for submit_self_service_registration_flow Submit a Registration Flow #\",\n \"E501 \\\"\\\"\\\" pass def test_get_json_schema(self): \\\"\\\"\\\"Test case for get_json_schema \\\"\\\"\\\" pass def test_get_self_service_error(self):\",\n \"test_admin_list_identities(self): \\\"\\\"\\\"Test case for admin_list_identities List Identities # noqa: E501 \\\"\\\"\\\" pass def\",\n \"Flow # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_settings_flow(self): \\\"\\\"\\\"Test case for get_self_service_settings_flow Get\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_recovery_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_recovery_flow_without_browser Initialize Recovery Flow\",\n \"be exposed without prior authorization. To protect the administative API port you should\",\n \"pass def test_submit_self_service_logout_flow(self): \\\"\\\"\\\"Test case for submit_self_service_logout_flow Complete Self-Service Logout # noqa: E501\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_settings_flow(self): \\\"\\\"\\\"Test case for get_self_service_settings_flow Get Settings Flow\",\n \"case for initialize_self_service_login_flow_without_browser Initialize Login Flow for APIs, Services, Apps, ... # noqa:\",\n \"E501 \\\"\\\"\\\" pass def test_initialize_self_service_recovery_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_recovery_flow_for_browsers Initialize Recovery Flow for\",\n \"Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_verification_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_verification_flow_for_browsers\",\n \"Get Login Flow # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_recovery_flow(self): \\\"\\\"\\\"Test case for\",\n \"initialize_self_service_verification_flow_without_browser Initialize Verification Flow for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\"\",\n \"Identity # noqa: E501 \\\"\\\"\\\" pass def test_admin_get_identity(self): \\\"\\\"\\\"Test case for admin_get_identity Get\",\n \"pass def test_initialize_self_service_verification_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_verification_flow_for_browsers Initialize Verification Flow for Browser Clients\",\n \"Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_login_flow(self): \\\"\\\"\\\"Test case for\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_registration_flow(self): \\\"\\\"\\\"Test case for submit_self_service_registration_flow Submit a Registration\",\n \"https://openapi-generator.tech \\\"\\\"\\\" import unittest import ory_kratos_client from ory_kratos_client.api.v0alpha1_api import V0alpha1Api # noqa: E501\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_registration_flow(self): \\\"\\\"\\\"Test case for get_self_service_registration_flow Get Registration Flow\",\n \"\\\"\\\"\\\" pass def test_submit_self_service_logout_flow(self): \\\"\\\"\\\"Test case for submit_self_service_logout_flow Complete Self-Service Logout # noqa:\",\n \"for all public and administrative Ory Kratos APIs. Public and administrative APIs are\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_registration_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_registration_flow_without_browser Initialize Registration\",\n \"case for to_session Check Who the Current HTTP Session Belongs To # noqa:\",\n \"ports. Public APIs can face the public internet without any protection while administrative\",\n \"test_initialize_self_service_verification_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_verification_flow_without_browser Initialize Verification Flow for APIs, Services, Apps, ...\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_create_self_service_logout_flow_url_for_browsers(self): \\\"\\\"\\\"Test case for create_self_service_logout_flow_url_for_browsers Create a Logout\",\n \"Ory Kratos API Documentation for all public and administrative Ory Kratos APIs. Public\",\n \"admin_update_identity Update an Identity # noqa: E501 \\\"\\\"\\\" pass def test_create_self_service_logout_flow_url_for_browsers(self): \\\"\\\"\\\"Test case\",\n \"pass def test_submit_self_service_logout_flow_without_browser(self): \\\"\\\"\\\"Test case for submit_self_service_logout_flow_without_browser Perform Logout for APIs, Services, Apps,\",\n \"internet without any protection while administrative APIs should never be exposed without prior\",\n \"\\\"\\\"\\\" pass def test_initialize_self_service_verification_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_verification_flow_for_browsers Initialize Verification Flow for Browser\",\n \"Registration Flow # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_settings_flow(self): \\\"\\\"\\\"Test case for get_self_service_settings_flow\",\n \"protect the administative API port you should use something like Nginx, Ory Oathkeeper,\",\n \"and administrative Ory Kratos APIs. Public and administrative APIs are exposed on different\",\n \"pass def test_initialize_self_service_login_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_login_flow_for_browsers Initialize Login Flow for Browsers #\",\n \"Initialize Registration Flow for Browsers # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_registration_flow_without_browser(self): \\\"\\\"\\\"Test\",\n \"\\\"\\\"\\\" pass def test_initialize_self_service_settings_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_settings_flow_for_browsers Initialize Settings Flow for Browsers\",\n \"E501 \\\"\\\"\\\" pass def test_initialize_self_service_verification_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_verification_flow_without_browser Initialize Verification Flow for\",\n \"test_submit_self_service_login_flow(self): \\\"\\\"\\\"Test case for submit_self_service_login_flow Submit a Login Flow # noqa: E501 \\\"\\\"\\\"\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_logout_flow(self): \\\"\\\"\\\"Test case for submit_self_service_logout_flow Complete Self-Service\",\n \"\\\"\\\"\\\" pass def test_initialize_self_service_registration_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_registration_flow_without_browser Initialize Registration Flow for APIs,\",\n \"case for get_self_service_settings_flow Get Settings Flow # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_verification_flow(self):\",\n \"APIs are exposed on different ports. Public APIs can face the public internet\",\n \"\\\"\\\"\\\" pass def test_initialize_self_service_recovery_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_recovery_flow_for_browsers Initialize Recovery Flow for Browsers\",\n \"case for get_json_schema \\\"\\\"\\\" pass def test_get_self_service_error(self): \\\"\\\"\\\"Test case for get_self_service_error Get Self-Service\",\n \"\\\"\\\"\\\" pass def test_admin_update_identity(self): \\\"\\\"\\\"Test case for admin_update_identity Update an Identity # noqa:\",\n \"def test_get_self_service_login_flow(self): \\\"\\\"\\\"Test case for get_self_service_login_flow Get Login Flow # noqa: E501 \\\"\\\"\\\"\",\n \"APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_settings_flow_for_browsers(self): \\\"\\\"\\\"Test case\",\n \"any other technology capable of authorizing incoming requests. # noqa: E501 The version\",\n \"incoming requests. # noqa: E501 The version of the OpenAPI document: v0.7.0-alpha.1 Contact:\",\n \"admin_create_self_service_recovery_link Create a Recovery Link # noqa: E501 \\\"\\\"\\\" pass def test_admin_delete_identity(self): \\\"\\\"\\\"Test\",\n \"the public internet without any protection while administrative APIs should never be exposed\",\n \"Browsers # noqa: E501 \\\"\\\"\\\" pass def test_get_json_schema(self): \\\"\\\"\\\"Test case for get_json_schema \\\"\\\"\\\"\",\n \"for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_verification_flow_for_browsers(self): \\\"\\\"\\\"Test\",\n \"API port you should use something like Nginx, Ory Oathkeeper, or any other\",\n \"for Browsers # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_settings_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_settings_flow_without_browser\",\n \"\\\"\\\"\\\"Test case for initialize_self_service_settings_flow_for_browsers Initialize Settings Flow for Browsers # noqa: E501 \\\"\\\"\\\"\",\n \"E501 \\\"\\\"\\\" pass def test_initialize_self_service_registration_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_registration_flow_without_browser Initialize Registration Flow for\",\n \"def test_create_self_service_logout_flow_url_for_browsers(self): \\\"\\\"\\\"Test case for create_self_service_logout_flow_url_for_browsers Create a Logout URL for Browsers #\",\n \"\\\"\\\"\\\"Test case for submit_self_service_logout_flow_without_browser Perform Logout for APIs, Services, Apps, ... # noqa:\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_verification_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_verification_flow_for_browsers Initialize Verification Flow\",\n \"unittest import ory_kratos_client from ory_kratos_client.api.v0alpha1_api import V0alpha1Api # noqa: E501 class TestV0alpha1Api(unittest.TestCase): \\\"\\\"\\\"V0alpha1Api\",\n \"\\\"\\\"\\\"Test case for submit_self_service_settings_flow Complete Settings Flow # noqa: E501 \\\"\\\"\\\" pass def\",\n \"Login Flow for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def\",\n \"\\\"\\\"\\\"Test case for initialize_self_service_login_flow_for_browsers Initialize Login Flow for Browsers # noqa: E501 \\\"\\\"\\\"\",\n \"Errors # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_login_flow(self): \\\"\\\"\\\"Test case for get_self_service_login_flow Get\",\n \"E501 \\\"\\\"\\\" pass def test_submit_self_service_registration_flow(self): \\\"\\\"\\\"Test case for submit_self_service_registration_flow Submit a Registration Flow\",\n \"def test_admin_create_identity(self): \\\"\\\"\\\"Test case for admin_create_identity Create an Identity # noqa: E501 \\\"\\\"\\\"\",\n \"for Browsers # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_login_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_login_flow_without_browser\",\n \"E501 \\\"\\\"\\\" pass def test_initialize_self_service_registration_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_registration_flow_for_browsers Initialize Registration Flow for\",\n \"OpenAPI document: v0.7.0-alpha.1 Contact: <EMAIL> Generated by: https://openapi-generator.tech \\\"\\\"\\\" import unittest import ory_kratos_client\",\n \"test_admin_get_identity(self): \\\"\\\"\\\"Test case for admin_get_identity Get an Identity # noqa: E501 \\\"\\\"\\\" pass\",\n \"for admin_get_identity Get an Identity # noqa: E501 \\\"\\\"\\\" pass def test_admin_list_identities(self): \\\"\\\"\\\"Test\",\n \"Initialize Settings Flow for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass\",\n \"ory_kratos_client.api.v0alpha1_api import V0alpha1Api # noqa: E501 class TestV0alpha1Api(unittest.TestCase): \\\"\\\"\\\"V0alpha1Api unit test stubs\\\"\\\"\\\" def\",\n \"pass def test_get_self_service_error(self): \\\"\\\"\\\"Test case for get_self_service_error Get Self-Service Errors # noqa: E501\",\n \"Identity # noqa: E501 \\\"\\\"\\\" pass def test_admin_create_self_service_recovery_link(self): \\\"\\\"\\\"Test case for admin_create_self_service_recovery_link Create\",\n \"for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_recovery_flow_for_browsers(self): \\\"\\\"\\\"Test\",\n \"test_create_self_service_logout_flow_url_for_browsers(self): \\\"\\\"\\\"Test case for create_self_service_logout_flow_url_for_browsers Create a Logout URL for Browsers # noqa:\",\n \"\\\"\\\"\\\" import unittest import ory_kratos_client from ory_kratos_client.api.v0alpha1_api import V0alpha1Api # noqa: E501 class\",\n \"Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_login_flow(self): \\\"\\\"\\\"Test case for submit_self_service_login_flow\",\n \"admin_get_identity Get an Identity # noqa: E501 \\\"\\\"\\\" pass def test_admin_list_identities(self): \\\"\\\"\\\"Test case\",\n \"def setUp(self): self.api = V0alpha1Api() # noqa: E501 def tearDown(self): pass def test_admin_create_identity(self):\",\n \"the OpenAPI document: v0.7.0-alpha.1 Contact: <EMAIL> Generated by: https://openapi-generator.tech \\\"\\\"\\\" import unittest import\",\n \"Kratos API Documentation for all public and administrative Ory Kratos APIs. Public and\",\n \"test_get_self_service_settings_flow(self): \\\"\\\"\\\"Test case for get_self_service_settings_flow Get Settings Flow # noqa: E501 \\\"\\\"\\\" pass\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_recovery_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_recovery_flow_without_browser Initialize Recovery\",\n \"exposed without prior authorization. To protect the administative API port you should use\",\n \"E501 \\\"\\\"\\\" pass def test_submit_self_service_logout_flow(self): \\\"\\\"\\\"Test case for submit_self_service_logout_flow Complete Self-Service Logout #\",\n \"case for submit_self_service_settings_flow Complete Settings Flow # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_verification_flow(self):\",\n \"should use something like Nginx, Ory Oathkeeper, or any other technology capable of\",\n \"def test_admin_update_identity(self): \\\"\\\"\\\"Test case for admin_update_identity Update an Identity # noqa: E501 \\\"\\\"\\\"\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_verification_flow(self): \\\"\\\"\\\"Test case for submit_self_service_verification_flow Complete Verification\",\n \"= V0alpha1Api() # noqa: E501 def tearDown(self): pass def test_admin_create_identity(self): \\\"\\\"\\\"Test case for\",\n \"Complete Recovery Flow # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_registration_flow(self): \\\"\\\"\\\"Test case for\",\n \"E501 \\\"\\\"\\\" pass def test_to_session(self): \\\"\\\"\\\"Test case for to_session Check Who the Current\",\n \"case for initialize_self_service_settings_flow_without_browser Initialize Settings Flow for APIs, Services, Apps, ... # noqa:\",\n \"\\\"\\\"\\\"Test case for initialize_self_service_recovery_flow_without_browser Initialize Recovery Flow for APIs, Services, Apps, ... #\",\n \"for admin_list_identities List Identities # noqa: E501 \\\"\\\"\\\" pass def test_admin_update_identity(self): \\\"\\\"\\\"Test case\",\n \"Flow # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_logout_flow(self): \\\"\\\"\\\"Test case for submit_self_service_logout_flow Complete\",\n \"Settings Flow for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def\",\n \"case for initialize_self_service_verification_flow_for_browsers Initialize Verification Flow for Browser Clients # noqa: E501 \\\"\\\"\\\"\",\n \"Get Verification Flow # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_login_flow_for_browsers(self): \\\"\\\"\\\"Test case for\",\n \"self.api = V0alpha1Api() # noqa: E501 def tearDown(self): pass def test_admin_create_identity(self): \\\"\\\"\\\"Test case\",\n \"test_get_self_service_registration_flow(self): \\\"\\\"\\\"Test case for get_self_service_registration_flow Get Registration Flow # noqa: E501 \\\"\\\"\\\" pass\",\n \"test_initialize_self_service_settings_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_settings_flow_without_browser Initialize Settings Flow for APIs, Services, Apps, ...\",\n \"initialize_self_service_registration_flow_without_browser Initialize Registration Flow for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\"\",\n \"Get Self-Service Errors # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_login_flow(self): \\\"\\\"\\\"Test case for\",\n \"Logout for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_recovery_flow(self):\",\n \"Initialize Login Flow for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass\",\n \"\\\"\\\"\\\" pass def test_admin_delete_identity(self): \\\"\\\"\\\"Test case for admin_delete_identity Delete an Identity # noqa:\",\n \"E501 \\\"\\\"\\\" pass def test_submit_self_service_verification_flow(self): \\\"\\\"\\\"Test case for submit_self_service_verification_flow Complete Verification Flow #\",\n \"\\\"\\\"\\\"Test case for admin_list_identities List Identities # noqa: E501 \\\"\\\"\\\" pass def test_admin_update_identity(self):\",\n \"test_initialize_self_service_login_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_login_flow_for_browsers Initialize Login Flow for Browsers # noqa: E501\",\n \"E501 \\\"\\\"\\\" pass def test_admin_list_identities(self): \\\"\\\"\\\"Test case for admin_list_identities List Identities # noqa:\",\n \"test_initialize_self_service_registration_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_registration_flow_for_browsers Initialize Registration Flow for Browsers # noqa: E501\",\n \"get_self_service_registration_flow Get Registration Flow # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_settings_flow(self): \\\"\\\"\\\"Test case\",\n \"without any protection while administrative APIs should never be exposed without prior authorization.\",\n \"prior authorization. To protect the administative API port you should use something like\",\n \"authorization. To protect the administative API port you should use something like Nginx,\",\n \"\\\"\\\"\\\" pass def test_submit_self_service_recovery_flow(self): \\\"\\\"\\\"Test case for submit_self_service_recovery_flow Complete Recovery Flow # noqa:\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_recovery_flow(self): \\\"\\\"\\\"Test case for get_self_service_recovery_flow Get Recovery Flow\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_settings_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_settings_flow_for_browsers Initialize Settings\",\n \"Flow for Browser Clients # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_verification_flow_without_browser(self): \\\"\\\"\\\"Test case\",\n \"def test_submit_self_service_login_flow(self): \\\"\\\"\\\"Test case for submit_self_service_login_flow Submit a Login Flow # noqa: E501\",\n \"\\\"\\\"\\\" pass def test_submit_self_service_verification_flow(self): \\\"\\\"\\\"Test case for submit_self_service_verification_flow Complete Verification Flow # noqa:\",\n \"def tearDown(self): pass def test_admin_create_identity(self): \\\"\\\"\\\"Test case for admin_create_identity Create an Identity #\",\n \"E501 def tearDown(self): pass def test_admin_create_identity(self): \\\"\\\"\\\"Test case for admin_create_identity Create an Identity\",\n \"def test_admin_create_self_service_recovery_link(self): \\\"\\\"\\\"Test case for admin_create_self_service_recovery_link Create a Recovery Link # noqa: E501\",\n \"E501 \\\"\\\"\\\" pass def test_get_self_service_registration_flow(self): \\\"\\\"\\\"Test case for get_self_service_registration_flow Get Registration Flow #\",\n \"APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_login_flow(self): \\\"\\\"\\\"Test case\",\n \"Logout # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_logout_flow_without_browser(self): \\\"\\\"\\\"Test case for submit_self_service_logout_flow_without_browser Perform\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_login_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_login_flow_for_browsers Initialize Login Flow\",\n \"Registration Flow # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_settings_flow(self): \\\"\\\"\\\"Test case for submit_self_service_settings_flow\",\n \"for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_settings_flow_for_browsers(self): \\\"\\\"\\\"Test\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_admin_list_identities(self): \\\"\\\"\\\"Test case for admin_list_identities List Identities\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_verification_flow(self): \\\"\\\"\\\"Test case for submit_self_service_verification_flow Complete Verification Flow\",\n \"pass def test_initialize_self_service_login_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_login_flow_without_browser Initialize Login Flow for APIs, Services,\",\n \"Identities # noqa: E501 \\\"\\\"\\\" pass def test_admin_update_identity(self): \\\"\\\"\\\"Test case for admin_update_identity Update\",\n \"\\\"\\\"\\\"Test case for initialize_self_service_verification_flow_for_browsers Initialize Verification Flow for Browser Clients # noqa: E501\",\n \"pass def test_admin_delete_identity(self): \\\"\\\"\\\"Test case for admin_delete_identity Delete an Identity # noqa: E501\",\n \"APIs can face the public internet without any protection while administrative APIs should\",\n \"like Nginx, Ory Oathkeeper, or any other technology capable of authorizing incoming requests.\",\n \"Settings Flow for Browsers # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_settings_flow_without_browser(self): \\\"\\\"\\\"Test case\",\n \"a Logout URL for Browsers # noqa: E501 \\\"\\\"\\\" pass def test_get_json_schema(self): \\\"\\\"\\\"Test\",\n \"\\\"\\\"\\\"Test case for initialize_self_service_recovery_flow_for_browsers Initialize Recovery Flow for Browsers # noqa: E501 \\\"\\\"\\\"\",\n \"initialize_self_service_verification_flow_for_browsers Initialize Verification Flow for Browser Clients # noqa: E501 \\\"\\\"\\\" pass def\",\n \"case for submit_self_service_recovery_flow Complete Recovery Flow # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_registration_flow(self):\",\n \"Browsers # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_settings_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_settings_flow_without_browser Initialize\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_registration_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_registration_flow_for_browsers Initialize Registration\",\n \"def test_submit_self_service_logout_flow(self): \\\"\\\"\\\"Test case for submit_self_service_logout_flow Complete Self-Service Logout # noqa: E501 \\\"\\\"\\\"\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_registration_flow(self): \\\"\\\"\\\"Test case for get_self_service_registration_flow Get Registration\",\n \"\\\"\\\"\\\"Test case for initialize_self_service_registration_flow_without_browser Initialize Registration Flow for APIs, Services, Apps, ... #\",\n \"E501 \\\"\\\"\\\" pass def test_submit_self_service_login_flow(self): \\\"\\\"\\\"Test case for submit_self_service_login_flow Submit a Login Flow\",\n \"and administrative APIs are exposed on different ports. Public APIs can face the\",\n \"\\\"\\\"\\\"Test case for submit_self_service_verification_flow Complete Verification Flow # noqa: E501 \\\"\\\"\\\" pass def\",\n \"different ports. Public APIs can face the public internet without any protection while\",\n \"... # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_settings_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_settings_flow_for_browsers Initialize\",\n \"E501 \\\"\\\"\\\" pass def test_submit_self_service_settings_flow(self): \\\"\\\"\\\"Test case for submit_self_service_settings_flow Complete Settings Flow #\",\n \"are exposed on different ports. Public APIs can face the public internet without\",\n \"submit_self_service_verification_flow Complete Verification Flow # noqa: E501 \\\"\\\"\\\" pass def test_to_session(self): \\\"\\\"\\\"Test case\",\n \"version of the OpenAPI document: v0.7.0-alpha.1 Contact: <EMAIL> Generated by: https://openapi-generator.tech \\\"\\\"\\\" import\",\n \"test_admin_update_identity(self): \\\"\\\"\\\"Test case for admin_update_identity Update an Identity # noqa: E501 \\\"\\\"\\\" pass\",\n \"administrative Ory Kratos APIs. Public and administrative APIs are exposed on different ports.\",\n \"E501 \\\"\\\"\\\" pass def test_submit_self_service_logout_flow_without_browser(self): \\\"\\\"\\\"Test case for submit_self_service_logout_flow_without_browser Perform Logout for APIs,\",\n \"pass def test_submit_self_service_recovery_flow(self): \\\"\\\"\\\"Test case for submit_self_service_recovery_flow Complete Recovery Flow # noqa: E501\",\n \"Recovery Flow for Browsers # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_recovery_flow_without_browser(self): \\\"\\\"\\\"Test case\",\n \"case for admin_update_identity Update an Identity # noqa: E501 \\\"\\\"\\\" pass def test_create_self_service_logout_flow_url_for_browsers(self):\",\n \"Browsers # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_recovery_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_recovery_flow_without_browser Initialize\",\n \"pass def test_submit_self_service_registration_flow(self): \\\"\\\"\\\"Test case for submit_self_service_registration_flow Submit a Registration Flow # noqa:\",\n \"def test_initialize_self_service_verification_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_verification_flow_for_browsers Initialize Verification Flow for Browser Clients #\",\n \"\\\"\\\"\\\" pass def test_admin_create_self_service_recovery_link(self): \\\"\\\"\\\"Test case for admin_create_self_service_recovery_link Create a Recovery Link #\",\n \"Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_recovery_flow_for_browsers(self): \\\"\\\"\\\"Test case for\",\n \"\\\"\\\"\\\" pass def test_initialize_self_service_verification_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_verification_flow_without_browser Initialize Verification Flow for APIs,\",\n \"v0.7.0-alpha.1 Contact: <EMAIL> Generated by: https://openapi-generator.tech \\\"\\\"\\\" import unittest import ory_kratos_client from ory_kratos_client.api.v0alpha1_api\",\n \"Settings Flow # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_verification_flow(self): \\\"\\\"\\\"Test case for submit_self_service_verification_flow\",\n \"def test_get_self_service_recovery_flow(self): \\\"\\\"\\\"Test case for get_self_service_recovery_flow Get Recovery Flow # noqa: E501 \\\"\\\"\\\"\",\n \"APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_recovery_flow_for_browsers(self): \\\"\\\"\\\"Test case\",\n \"for get_json_schema \\\"\\\"\\\" pass def test_get_self_service_error(self): \\\"\\\"\\\"Test case for get_self_service_error Get Self-Service Errors\",\n \"\\\"\\\"\\\" pass def test_submit_self_service_logout_flow_without_browser(self): \\\"\\\"\\\"Test case for submit_self_service_logout_flow_without_browser Perform Logout for APIs, Services,\",\n \"administrative APIs are exposed on different ports. Public APIs can face the public\",\n \"\\\"\\\"\\\" pass def test_submit_self_service_settings_flow(self): \\\"\\\"\\\"Test case for submit_self_service_settings_flow Complete Settings Flow # noqa:\",\n \"def test_admin_list_identities(self): \\\"\\\"\\\"Test case for admin_list_identities List Identities # noqa: E501 \\\"\\\"\\\" pass\",\n \"test_admin_create_self_service_recovery_link(self): \\\"\\\"\\\"Test case for admin_create_self_service_recovery_link Create a Recovery Link # noqa: E501 \\\"\\\"\\\"\",\n \"for submit_self_service_login_flow Submit a Login Flow # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_logout_flow(self):\",\n \"Verification Flow for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def\",\n \"... # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_recovery_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_recovery_flow_for_browsers Initialize\",\n \"for submit_self_service_logout_flow Complete Self-Service Logout # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_logout_flow_without_browser(self): \\\"\\\"\\\"Test\",\n \"get_self_service_verification_flow Get Verification Flow # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_login_flow_for_browsers(self): \\\"\\\"\\\"Test case\",\n \"port you should use something like Nginx, Ory Oathkeeper, or any other technology\",\n \"\\\"\\\"\\\" pass def test_initialize_self_service_login_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_login_flow_without_browser Initialize Login Flow for APIs,\",\n \"for initialize_self_service_registration_flow_for_browsers Initialize Registration Flow for Browsers # noqa: E501 \\\"\\\"\\\" pass def\",\n \"URL for Browsers # noqa: E501 \\\"\\\"\\\" pass def test_get_json_schema(self): \\\"\\\"\\\"Test case for\",\n \"Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_recovery_flow(self): \\\"\\\"\\\"Test case for submit_self_service_recovery_flow\",\n \"import V0alpha1Api # noqa: E501 class TestV0alpha1Api(unittest.TestCase): \\\"\\\"\\\"V0alpha1Api unit test stubs\\\"\\\"\\\" def setUp(self):\",\n \"\\\"\\\"\\\"Test case for admin_create_self_service_recovery_link Create a Recovery Link # noqa: E501 \\\"\\\"\\\" pass\",\n \"test_submit_self_service_recovery_flow(self): \\\"\\\"\\\"Test case for submit_self_service_recovery_flow Complete Recovery Flow # noqa: E501 \\\"\\\"\\\" pass\",\n \"for get_self_service_verification_flow Get Verification Flow # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_login_flow_for_browsers(self): \\\"\\\"\\\"Test\",\n \"def test_get_json_schema(self): \\\"\\\"\\\"Test case for get_json_schema \\\"\\\"\\\" pass def test_get_self_service_error(self): \\\"\\\"\\\"Test case for\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_admin_delete_identity(self): \\\"\\\"\\\"Test case for admin_delete_identity Delete an\",\n \"for admin_create_self_service_recovery_link Create a Recovery Link # noqa: E501 \\\"\\\"\\\" pass def test_admin_delete_identity(self):\",\n \"pass def test_get_self_service_login_flow(self): \\\"\\\"\\\"Test case for get_self_service_login_flow Get Login Flow # noqa: E501\",\n \"admin_delete_identity Delete an Identity # noqa: E501 \\\"\\\"\\\" pass def test_admin_get_identity(self): \\\"\\\"\\\"Test case\",\n \"API Documentation for all public and administrative Ory Kratos APIs. Public and administrative\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_admin_get_identity(self): \\\"\\\"\\\"Test case for admin_get_identity Get an\",\n \"def test_get_self_service_verification_flow(self): \\\"\\\"\\\"Test case for get_self_service_verification_flow Get Verification Flow # noqa: E501 \\\"\\\"\\\"\",\n \"Complete Self-Service Logout # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_logout_flow_without_browser(self): \\\"\\\"\\\"Test case for\",\n \"tearDown(self): pass def test_admin_create_identity(self): \\\"\\\"\\\"Test case for admin_create_identity Create an Identity # noqa:\",\n \"\\\"\\\"\\\" pass def test_initialize_self_service_login_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_login_flow_for_browsers Initialize Login Flow for Browsers\",\n \"Initialize Recovery Flow for Browsers # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_recovery_flow_without_browser(self): \\\"\\\"\\\"Test\",\n \"\\\"\\\"\\\" pass def test_submit_self_service_login_flow(self): \\\"\\\"\\\"Test case for submit_self_service_login_flow Submit a Login Flow #\",\n \"Initialize Verification Flow for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass\",\n \"test_submit_self_service_registration_flow(self): \\\"\\\"\\\"Test case for submit_self_service_registration_flow Submit a Registration Flow # noqa: E501 \\\"\\\"\\\"\",\n \"Create an Identity # noqa: E501 \\\"\\\"\\\" pass def test_admin_create_self_service_recovery_link(self): \\\"\\\"\\\"Test case for\",\n \"E501 \\\"\\\"\\\" pass def test_initialize_self_service_login_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_login_flow_without_browser Initialize Login Flow for\",\n \"Flow # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_recovery_flow(self): \\\"\\\"\\\"Test case for get_self_service_recovery_flow Get\",\n \"Login Flow # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_recovery_flow(self): \\\"\\\"\\\"Test case for get_self_service_recovery_flow\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_settings_flow(self): \\\"\\\"\\\"Test case for submit_self_service_settings_flow Complete Settings\",\n \"face the public internet without any protection while administrative APIs should never be\",\n \"class TestV0alpha1Api(unittest.TestCase): \\\"\\\"\\\"V0alpha1Api unit test stubs\\\"\\\"\\\" def setUp(self): self.api = V0alpha1Api() # noqa:\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_admin_update_identity(self): \\\"\\\"\\\"Test case for admin_update_identity Update an Identity\",\n \"for submit_self_service_registration_flow Submit a Registration Flow # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_settings_flow(self):\",\n \"Ory Kratos APIs. Public and administrative APIs are exposed on different ports. Public\",\n \"Flow for Browsers # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_settings_flow_without_browser(self): \\\"\\\"\\\"Test case for\",\n \"from ory_kratos_client.api.v0alpha1_api import V0alpha1Api # noqa: E501 class TestV0alpha1Api(unittest.TestCase): \\\"\\\"\\\"V0alpha1Api unit test stubs\\\"\\\"\\\"\",\n \"Flow # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_login_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_login_flow_for_browsers Initialize\",\n \"<EMAIL> Generated by: https://openapi-generator.tech \\\"\\\"\\\" import unittest import ory_kratos_client from ory_kratos_client.api.v0alpha1_api import V0alpha1Api\",\n \"of the OpenAPI document: v0.7.0-alpha.1 Contact: <EMAIL> Generated by: https://openapi-generator.tech \\\"\\\"\\\" import unittest\",\n \"HTTP Session Belongs To # noqa: E501 \\\"\\\"\\\" pass if __name__ == '__main__':\",\n \"import ory_kratos_client from ory_kratos_client.api.v0alpha1_api import V0alpha1Api # noqa: E501 class TestV0alpha1Api(unittest.TestCase): \\\"\\\"\\\"V0alpha1Api unit\",\n \"E501 \\\"\\\"\\\" pass def test_admin_create_self_service_recovery_link(self): \\\"\\\"\\\"Test case for admin_create_self_service_recovery_link Create a Recovery Link\",\n \"should never be exposed without prior authorization. To protect the administative API port\",\n \"for admin_update_identity Update an Identity # noqa: E501 \\\"\\\"\\\" pass def test_create_self_service_logout_flow_url_for_browsers(self): \\\"\\\"\\\"Test\",\n \"Initialize Verification Flow for Browser Clients # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_verification_flow_without_browser(self):\",\n \"case for get_self_service_registration_flow Get Registration Flow # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_settings_flow(self):\",\n \"Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_verification_flow_for_browsers(self): \\\"\\\"\\\"Test case for\",\n \"... # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_verification_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_verification_flow_for_browsers Initialize\",\n \"def test_submit_self_service_registration_flow(self): \\\"\\\"\\\"Test case for submit_self_service_registration_flow Submit a Registration Flow # noqa: E501\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_verification_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_verification_flow_without_browser Initialize Verification\",\n \"Session Belongs To # noqa: E501 \\\"\\\"\\\" pass if __name__ == '__main__': unittest.main()\",\n \"pass def test_submit_self_service_verification_flow(self): \\\"\\\"\\\"Test case for submit_self_service_verification_flow Complete Verification Flow # noqa: E501\",\n \"case for initialize_self_service_verification_flow_without_browser Initialize Verification Flow for APIs, Services, Apps, ... # noqa:\",\n \"Verification Flow # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_login_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_login_flow_for_browsers\",\n \"\\\"\\\"\\\"Test case for submit_self_service_recovery_flow Complete Recovery Flow # noqa: E501 \\\"\\\"\\\" pass def\",\n \"get_self_service_error Get Self-Service Errors # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_login_flow(self): \\\"\\\"\\\"Test case\",\n \"test_to_session(self): \\\"\\\"\\\"Test case for to_session Check Who the Current HTTP Session Belongs To\",\n \"Current HTTP Session Belongs To # noqa: E501 \\\"\\\"\\\" pass if __name__ ==\",\n \"case for initialize_self_service_settings_flow_for_browsers Initialize Settings Flow for Browsers # noqa: E501 \\\"\\\"\\\" pass\",\n \"can face the public internet without any protection while administrative APIs should never\",\n \"case for get_self_service_recovery_flow Get Recovery Flow # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_registration_flow(self):\",\n \"case for initialize_self_service_recovery_flow_for_browsers Initialize Recovery Flow for Browsers # noqa: E501 \\\"\\\"\\\" pass\",\n \"def test_to_session(self): \\\"\\\"\\\"Test case for to_session Check Who the Current HTTP Session Belongs\",\n \"E501 \\\"\\\"\\\" pass def test_get_self_service_verification_flow(self): \\\"\\\"\\\"Test case for get_self_service_verification_flow Get Verification Flow #\",\n \"E501 \\\"\\\"\\\" pass def test_submit_self_service_recovery_flow(self): \\\"\\\"\\\"Test case for submit_self_service_recovery_flow Complete Recovery Flow #\",\n \"requests. # noqa: E501 The version of the OpenAPI document: v0.7.0-alpha.1 Contact: <EMAIL>\",\n \"... # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_login_flow(self): \\\"\\\"\\\"Test case for submit_self_service_login_flow Submit\",\n \"test_initialize_self_service_registration_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_registration_flow_without_browser Initialize Registration Flow for APIs, Services, Apps, ...\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_recovery_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_recovery_flow_for_browsers Initialize Recovery\",\n \"Identity # noqa: E501 \\\"\\\"\\\" pass def test_create_self_service_logout_flow_url_for_browsers(self): \\\"\\\"\\\"Test case for create_self_service_logout_flow_url_for_browsers Create\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_to_session(self): \\\"\\\"\\\"Test case for to_session Check Who the\",\n \"Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_registration_flow_for_browsers(self): \\\"\\\"\\\"Test case for\",\n \"noqa: E501 class TestV0alpha1Api(unittest.TestCase): \\\"\\\"\\\"V0alpha1Api unit test stubs\\\"\\\"\\\" def setUp(self): self.api = V0alpha1Api()\",\n \"to_session Check Who the Current HTTP Session Belongs To # noqa: E501 \\\"\\\"\\\"\",\n \"test_initialize_self_service_recovery_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_recovery_flow_for_browsers Initialize Recovery Flow for Browsers # noqa: E501\",\n \"def test_admin_get_identity(self): \\\"\\\"\\\"Test case for admin_get_identity Get an Identity # noqa: E501 \\\"\\\"\\\"\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_recovery_flow(self): \\\"\\\"\\\"Test case for get_self_service_recovery_flow Get Recovery\",\n \"for create_self_service_logout_flow_url_for_browsers Create a Logout URL for Browsers # noqa: E501 \\\"\\\"\\\" pass\",\n \"Nginx, Ory Oathkeeper, or any other technology capable of authorizing incoming requests. #\",\n \"all public and administrative Ory Kratos APIs. Public and administrative APIs are exposed\",\n \"case for admin_get_identity Get an Identity # noqa: E501 \\\"\\\"\\\" pass def test_admin_list_identities(self):\",\n \"Generated by: https://openapi-generator.tech \\\"\\\"\\\" import unittest import ory_kratos_client from ory_kratos_client.api.v0alpha1_api import V0alpha1Api #\",\n \"initialize_self_service_login_flow_without_browser Initialize Login Flow for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\"\",\n \"Get an Identity # noqa: E501 \\\"\\\"\\\" pass def test_admin_list_identities(self): \\\"\\\"\\\"Test case for\",\n \"Recovery Flow # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_registration_flow(self): \\\"\\\"\\\"Test case for submit_self_service_registration_flow\",\n \"for submit_self_service_settings_flow Complete Settings Flow # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_verification_flow(self): \\\"\\\"\\\"Test\",\n \"for initialize_self_service_login_flow_without_browser Initialize Login Flow for APIs, Services, Apps, ... # noqa: E501\",\n \"\\\"\\\"\\\"Test case for initialize_self_service_verification_flow_without_browser Initialize Verification Flow for APIs, Services, Apps, ... #\",\n \"unit test stubs\\\"\\\"\\\" def setUp(self): self.api = V0alpha1Api() # noqa: E501 def tearDown(self):\",\n \"submit_self_service_registration_flow Submit a Registration Flow # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_settings_flow(self): \\\"\\\"\\\"Test\",\n \"Identity # noqa: E501 \\\"\\\"\\\" pass def test_admin_list_identities(self): \\\"\\\"\\\"Test case for admin_list_identities List\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_admin_get_identity(self): \\\"\\\"\\\"Test case for admin_get_identity Get an Identity\",\n \"Flow # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_verification_flow(self): \\\"\\\"\\\"Test case for get_self_service_verification_flow Get\",\n \"... # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_registration_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_registration_flow_for_browsers Initialize\",\n \"setUp(self): self.api = V0alpha1Api() # noqa: E501 def tearDown(self): pass def test_admin_create_identity(self): \\\"\\\"\\\"Test\",\n \"never be exposed without prior authorization. To protect the administative API port you\",\n \"def test_get_self_service_registration_flow(self): \\\"\\\"\\\"Test case for get_self_service_registration_flow Get Registration Flow # noqa: E501 \\\"\\\"\\\"\",\n \"Registration Flow for Browsers # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_registration_flow_without_browser(self): \\\"\\\"\\\"Test case\",\n \"a Registration Flow # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_settings_flow(self): \\\"\\\"\\\"Test case for\",\n \"Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_recovery_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_recovery_flow_for_browsers\",\n \"Flow for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_verification_flow_for_browsers(self):\",\n \"or any other technology capable of authorizing incoming requests. # noqa: E501 The\",\n \"Complete Verification Flow # noqa: E501 \\\"\\\"\\\" pass def test_to_session(self): \\\"\\\"\\\"Test case for\",\n \"public internet without any protection while administrative APIs should never be exposed without\",\n \"import unittest import ory_kratos_client from ory_kratos_client.api.v0alpha1_api import V0alpha1Api # noqa: E501 class TestV0alpha1Api(unittest.TestCase):\",\n \"\\\"\\\"\\\" pass def test_get_self_service_verification_flow(self): \\\"\\\"\\\"Test case for get_self_service_verification_flow Get Verification Flow # noqa:\",\n \"Public APIs can face the public internet without any protection while administrative APIs\",\n \"\\\"\\\"\\\"V0alpha1Api unit test stubs\\\"\\\"\\\" def setUp(self): self.api = V0alpha1Api() # noqa: E501 def\",\n \"E501 \\\"\\\"\\\" pass def test_admin_update_identity(self): \\\"\\\"\\\"Test case for admin_update_identity Update an Identity #\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_settings_flow(self): \\\"\\\"\\\"Test case for submit_self_service_settings_flow Complete Settings Flow\",\n \"pass def test_admin_create_self_service_recovery_link(self): \\\"\\\"\\\"Test case for admin_create_self_service_recovery_link Create a Recovery Link # noqa:\",\n \"for admin_delete_identity Delete an Identity # noqa: E501 \\\"\\\"\\\" pass def test_admin_get_identity(self): \\\"\\\"\\\"Test\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_recovery_flow(self): \\\"\\\"\\\"Test case for submit_self_service_recovery_flow Complete Recovery Flow\",\n \"an Identity # noqa: E501 \\\"\\\"\\\" pass def test_admin_create_self_service_recovery_link(self): \\\"\\\"\\\"Test case for admin_create_self_service_recovery_link\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_get_json_schema(self): \\\"\\\"\\\"Test case for get_json_schema \\\"\\\"\\\" pass\",\n \"for submit_self_service_recovery_flow Complete Recovery Flow # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_registration_flow(self): \\\"\\\"\\\"Test\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_registration_flow(self): \\\"\\\"\\\"Test case for submit_self_service_registration_flow Submit a\",\n \"Complete Settings Flow # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_verification_flow(self): \\\"\\\"\\\"Test case for\",\n \"Login Flow for Browsers # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_login_flow_without_browser(self): \\\"\\\"\\\"Test case\",\n \"Recovery Flow # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_registration_flow(self): \\\"\\\"\\\"Test case for get_self_service_registration_flow\",\n \"for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_login_flow(self): \\\"\\\"\\\"Test\",\n \"case for create_self_service_logout_flow_url_for_browsers Create a Logout URL for Browsers # noqa: E501 \\\"\\\"\\\"\",\n \"\\\"\\\"\\\" pass def test_get_self_service_settings_flow(self): \\\"\\\"\\\"Test case for get_self_service_settings_flow Get Settings Flow # noqa:\",\n \"Flow for Browsers # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_login_flow_without_browser(self): \\\"\\\"\\\"Test case for\",\n \"\\\"\\\"\\\"Test case for initialize_self_service_login_flow_without_browser Initialize Login Flow for APIs, Services, Apps, ... #\",\n \"Verification Flow for Browser Clients # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_verification_flow_without_browser(self): \\\"\\\"\\\"Test\",\n \"Initialize Registration Flow for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass\",\n \"for get_self_service_error Get Self-Service Errors # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_login_flow(self): \\\"\\\"\\\"Test\",\n \"V0alpha1Api # noqa: E501 class TestV0alpha1Api(unittest.TestCase): \\\"\\\"\\\"V0alpha1Api unit test stubs\\\"\\\"\\\" def setUp(self): self.api\",\n \"\\\"\\\"\\\"Test case for get_self_service_registration_flow Get Registration Flow # noqa: E501 \\\"\\\"\\\" pass def\",\n \"Flow for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_login_flow(self):\",\n \"def test_submit_self_service_settings_flow(self): \\\"\\\"\\\"Test case for submit_self_service_settings_flow Complete Settings Flow # noqa: E501 \\\"\\\"\\\"\",\n \"E501 \\\"\\\"\\\" pass def test_admin_delete_identity(self): \\\"\\\"\\\"Test case for admin_delete_identity Delete an Identity #\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_verification_flow(self): \\\"\\\"\\\"Test case for get_self_service_verification_flow Get Verification Flow\",\n \"\\\"\\\"\\\"Test case for admin_get_identity Get an Identity # noqa: E501 \\\"\\\"\\\" pass def\",\n \"def test_initialize_self_service_recovery_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_recovery_flow_for_browsers Initialize Recovery Flow for Browsers # noqa:\",\n \"APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_verification_flow_for_browsers(self): \\\"\\\"\\\"Test case\",\n \"\\\"\\\"\\\" pass def test_get_self_service_registration_flow(self): \\\"\\\"\\\"Test case for get_self_service_registration_flow Get Registration Flow # noqa:\",\n \"for Browsers # noqa: E501 \\\"\\\"\\\" pass def test_get_json_schema(self): \\\"\\\"\\\"Test case for get_json_schema\",\n \"case for get_self_service_error Get Self-Service Errors # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_login_flow(self):\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_verification_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_verification_flow_without_browser Initialize Verification Flow\",\n \"pass def test_to_session(self): \\\"\\\"\\\"Test case for to_session Check Who the Current HTTP Session\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_admin_list_identities(self): \\\"\\\"\\\"Test case for admin_list_identities List Identities #\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_get_json_schema(self): \\\"\\\"\\\"Test case for get_json_schema \\\"\\\"\\\" pass def\",\n \"without prior authorization. To protect the administative API port you should use something\",\n \"List Identities # noqa: E501 \\\"\\\"\\\" pass def test_admin_update_identity(self): \\\"\\\"\\\"Test case for admin_update_identity\",\n \"for initialize_self_service_settings_flow_for_browsers Initialize Settings Flow for Browsers # noqa: E501 \\\"\\\"\\\" pass def\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_login_flow(self): \\\"\\\"\\\"Test case for submit_self_service_login_flow Submit a\",\n \"case for admin_list_identities List Identities # noqa: E501 \\\"\\\"\\\" pass def test_admin_update_identity(self): \\\"\\\"\\\"Test\",\n \"by: https://openapi-generator.tech \\\"\\\"\\\" import unittest import ory_kratos_client from ory_kratos_client.api.v0alpha1_api import V0alpha1Api # noqa:\",\n \"test_admin_create_identity(self): \\\"\\\"\\\"Test case for admin_create_identity Create an Identity # noqa: E501 \\\"\\\"\\\" pass\",\n \"test_initialize_self_service_settings_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_settings_flow_for_browsers Initialize Settings Flow for Browsers # noqa: E501\",\n \"case for get_self_service_login_flow Get Login Flow # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_recovery_flow(self):\",\n \"def test_submit_self_service_verification_flow(self): \\\"\\\"\\\"Test case for submit_self_service_verification_flow Complete Verification Flow # noqa: E501 \\\"\\\"\\\"\",\n \"for get_self_service_registration_flow Get Registration Flow # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_settings_flow(self): \\\"\\\"\\\"Test\",\n \"for get_self_service_settings_flow Get Settings Flow # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_verification_flow(self): \\\"\\\"\\\"Test\",\n \"initialize_self_service_settings_flow_without_browser Initialize Settings Flow for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\"\",\n \"for initialize_self_service_recovery_flow_without_browser Initialize Recovery Flow for APIs, Services, Apps, ... # noqa: E501\",\n \"Create a Logout URL for Browsers # noqa: E501 \\\"\\\"\\\" pass def test_get_json_schema(self):\",\n \"case for submit_self_service_logout_flow_without_browser Perform Logout for APIs, Services, Apps, ... # noqa: E501\",\n \"for initialize_self_service_login_flow_for_browsers Initialize Login Flow for Browsers # noqa: E501 \\\"\\\"\\\" pass def\",\n \"any protection while administrative APIs should never be exposed without prior authorization. To\",\n \"submit_self_service_login_flow Submit a Login Flow # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_logout_flow(self): \\\"\\\"\\\"Test\",\n \"Registration Flow for APIs, Services, Apps, ... # noqa: E501 \\\"\\\"\\\" pass def\",\n \"test_admin_delete_identity(self): \\\"\\\"\\\"Test case for admin_delete_identity Delete an Identity # noqa: E501 \\\"\\\"\\\" pass\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_settings_flow(self): \\\"\\\"\\\"Test case for get_self_service_settings_flow Get Settings\",\n \"E501 \\\"\\\"\\\" pass def test_get_self_service_settings_flow(self): \\\"\\\"\\\"Test case for get_self_service_settings_flow Get Settings Flow #\",\n \"case for submit_self_service_registration_flow Submit a Registration Flow # noqa: E501 \\\"\\\"\\\" pass def\",\n \"pass def test_get_json_schema(self): \\\"\\\"\\\"Test case for get_json_schema \\\"\\\"\\\" pass def test_get_self_service_error(self): \\\"\\\"\\\"Test case\",\n \"def test_initialize_self_service_registration_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_registration_flow_for_browsers Initialize Registration Flow for Browsers # noqa:\",\n \"pass def test_initialize_self_service_registration_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_registration_flow_without_browser Initialize Registration Flow for APIs, Services,\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_recovery_flow(self): \\\"\\\"\\\"Test case for submit_self_service_recovery_flow Complete Recovery\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_recovery_flow_for_browsers(self): \\\"\\\"\\\"Test case for initialize_self_service_recovery_flow_for_browsers Initialize Recovery Flow\",\n \"test_get_self_service_recovery_flow(self): \\\"\\\"\\\"Test case for get_self_service_recovery_flow Get Recovery Flow # noqa: E501 \\\"\\\"\\\" pass\",\n \"E501 class TestV0alpha1Api(unittest.TestCase): \\\"\\\"\\\"V0alpha1Api unit test stubs\\\"\\\"\\\" def setUp(self): self.api = V0alpha1Api() #\",\n \"capable of authorizing incoming requests. # noqa: E501 The version of the OpenAPI\",\n \"def test_get_self_service_settings_flow(self): \\\"\\\"\\\"Test case for get_self_service_settings_flow Get Settings Flow # noqa: E501 \\\"\\\"\\\"\",\n \"you should use something like Nginx, Ory Oathkeeper, or any other technology capable\",\n \"public and administrative Ory Kratos APIs. Public and administrative APIs are exposed on\",\n \"authorizing incoming requests. # noqa: E501 The version of the OpenAPI document: v0.7.0-alpha.1\",\n \"\\\"\\\"\\\"Test case for submit_self_service_registration_flow Submit a Registration Flow # noqa: E501 \\\"\\\"\\\" pass\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_login_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_login_flow_without_browser Initialize Login\",\n \"initialize_self_service_login_flow_for_browsers Initialize Login Flow for Browsers # noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_login_flow_without_browser(self):\",\n \"noqa: E501 \\\"\\\"\\\" pass def test_initialize_self_service_settings_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_settings_flow_without_browser Initialize Settings Flow\",\n \"something like Nginx, Ory Oathkeeper, or any other technology capable of authorizing incoming\",\n \"pass def test_get_self_service_settings_flow(self): \\\"\\\"\\\"Test case for get_self_service_settings_flow Get Settings Flow # noqa: E501\",\n \"E501 \\\"\\\"\\\" pass def test_initialize_self_service_recovery_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_recovery_flow_without_browser Initialize Recovery Flow for\",\n \"Verification Flow # noqa: E501 \\\"\\\"\\\" pass def test_to_session(self): \\\"\\\"\\\"Test case for to_session\",\n \"other technology capable of authorizing incoming requests. # noqa: E501 The version of\",\n \"# noqa: E501 \\\"\\\"\\\" pass def test_create_self_service_logout_flow_url_for_browsers(self): \\\"\\\"\\\"Test case for create_self_service_logout_flow_url_for_browsers Create a\",\n \"get_self_service_login_flow Get Login Flow # noqa: E501 \\\"\\\"\\\" pass def test_get_self_service_recovery_flow(self): \\\"\\\"\\\"Test case\",\n \"submit_self_service_recovery_flow Complete Recovery Flow # noqa: E501 \\\"\\\"\\\" pass def test_submit_self_service_registration_flow(self): \\\"\\\"\\\"Test case\",\n \"\\\"\\\"\\\"Test case for admin_update_identity Update an Identity # noqa: E501 \\\"\\\"\\\" pass def\",\n \"\\\"\\\"\\\" pass def test_initialize_self_service_recovery_flow_without_browser(self): \\\"\\\"\\\"Test case for initialize_self_service_recovery_flow_without_browser Initialize Recovery Flow for APIs,\"\n]","isConversational":false}}},{"rowIdx":1284,"cells":{"ngram":{"kind":"list like","value":["GrandExchange, GameItemNotFound, GameItemParseError from .item import Item from .priceinfo import PriceInfo from .pricetrend","GameItemNotFound, GameItemParseError from .item import Item from .priceinfo import PriceInfo from .pricetrend import","GameItemParseError from .item import Item from .priceinfo import PriceInfo from .pricetrend import PriceTrend","import GrandExchange, GameItemNotFound, GameItemParseError from .item import Item from .priceinfo import PriceInfo from",".grandexchange import GrandExchange, GameItemNotFound, GameItemParseError from .item import Item from .priceinfo import PriceInfo","from .grandexchange import GrandExchange, GameItemNotFound, GameItemParseError from .item import Item from .priceinfo import"],"string":"[\n \"GrandExchange, GameItemNotFound, GameItemParseError from .item import Item from .priceinfo import PriceInfo from .pricetrend\",\n \"GameItemNotFound, GameItemParseError from .item import Item from .priceinfo import PriceInfo from .pricetrend import\",\n \"GameItemParseError from .item import Item from .priceinfo import PriceInfo from .pricetrend import PriceTrend\",\n \"import GrandExchange, GameItemNotFound, GameItemParseError from .item import Item from .priceinfo import PriceInfo from\",\n \".grandexchange import GrandExchange, GameItemNotFound, GameItemParseError from .item import Item from .priceinfo import PriceInfo\",\n \"from .grandexchange import GrandExchange, GameItemNotFound, GameItemParseError from .item import Item from .priceinfo import\"\n]","isConversational":false}}},{"rowIdx":1285,"cells":{"ngram":{"kind":"list like","value":["loading and pre-processing :return: (xtrain, ytrain), (xtest, ytest) ''' print('**** Read data into","os import numpy as np import cv2 from utils import constants as const","to metadata path = const.PATH metadata_csv_path = os.path.join(path, const.FILE_METADATA) test_img_dir_path = os.path.join(path, const.DIR_TEST)","os.path.join(test_img_dir_path, image_row[row]) # reading image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling image to","the path to train data x_train_path = os.path.join(path, const.DIR_TRAIN) print(x_train_path) # setting the","function is handling the data loading and pre-processing :return: (xtrain, ytrain), (xtest, ytest)","as dataframe df = pd.read_csv(metadata_csv_path, delimiter=',') # dataset format: # image_name # label","This function is handling the data loading and pre-processing :return: (xtrain, ytrain), (xtest,","img_path) # extracting labels y_test.append(label_row[row]) xtrain = np.asarray(x_train) ytrain = np.asarray(y_train) xtest =","import cv2 from utils import constants as const import matplotlib.pyplot as plt class","image_row[row]) # reading image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling image to 28x28","constants as const import matplotlib.pyplot as plt class DataLoader: def load_data(): ''' This","as plt class DataLoader: def load_data(): ''' This function is handling the data","class DataLoader: def load_data(): ''' This function is handling the data loading and","setting the path of the current image img_path = os.path.join(train_img_dir_path, image_row[row]) # reading","const.DIR_TEST) # reading meta data file as dataframe df = pd.read_csv(metadata_csv_path, delimiter=',') #","os.path.join(path, const.DIR_TRAIN) print(x_train_path) # setting the path to train data x_test_path = os.path.join(path,","df[\"label\"].tolist() data_rows = len(data_type_row) for row in range(data_rows): if (data_type_row[row] == \"TRAIN\"): #","len(data_type_row) for row in range(data_rows): if (data_type_row[row] == \"TRAIN\"): # setting the path","= np.asarray(x_test) ytest = np.asarray(y_test) print(x_train[0].shape) print(x_train[0].shape) print(xtrain[0].shape) print(x_test[0].shape) #(X_train, y_train), (X_test, y_test)","ytest = np.asarray(y_test) print(x_train[0].shape) print(x_train[0].shape) print(xtrain[0].shape) print(x_test[0].shape) #(X_train, y_train), (X_test, y_test) return (xtrain,","img_path = os.path.join(test_img_dir_path, image_row[row]) # reading image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling","pd import os import numpy as np import cv2 from utils import constants","Read data into DAugmentor ****') x_train = [] y_train = [] x_test =","(data_type_row[row] == \"TRAIN\"): # setting the path of the current image img_path =","img_path) # extracting labels y_train.append(label_row[row]) if (data_type_row[row] == \"TEST\"): # setting the path","def load_data(): ''' This function is handling the data loading and pre-processing :return:","# data_type data_type_row = df[\"data_type\"].tolist() image_row = df[\"image_name\"].tolist() label_row = df[\"label\"].tolist() data_rows =","xtest = np.asarray(x_test) ytest = np.asarray(y_test) print(x_train[0].shape) print(x_train[0].shape) print(xtrain[0].shape) print(x_test[0].shape) #(X_train, y_train), (X_test,","# dataset format: # image_name # label # data_type data_type_row = df[\"data_type\"].tolist() image_row","to train data x_test_path = os.path.join(path, const.DIR_TEST) # reading meta data file as","the path of the current image img_path = os.path.join(test_img_dir_path, image_row[row]) # reading image","data file as dataframe df = pd.read_csv(metadata_csv_path, delimiter=',') # dataset format: # image_name","print(x_train[0].shape) print(x_train[0].shape) print(xtrain[0].shape) print(x_test[0].shape) #(X_train, y_train), (X_test, y_test) return (xtrain, ytrain), (xtest, ytest)","# setting the path to train data x_test_path = os.path.join(path, const.DIR_TEST) # reading","row in range(data_rows): if (data_type_row[row] == \"TRAIN\"): # setting the path of the","cv2.resize(image, (128, 128)) x_train.append(image) print(\"Loaded: \" + img_path) # extracting labels y_train.append(label_row[row]) if","ytest) ''' print('**** Read data into DAugmentor ****') x_train = [] y_train =","as np import cv2 from utils import constants as const import matplotlib.pyplot as","load_data(): ''' This function is handling the data loading and pre-processing :return: (xtrain,","= [] y_test = [] # setting the path to metadata path =","train_img_dir_path = os.path.join(path, const.DIR_TRAIN) print(metadata_csv_path) # setting the path to train data x_train_path","into DAugmentor ****') x_train = [] y_train = [] x_test = [] y_test","[] y_test = [] # setting the path to metadata path = const.PATH","cv2.IMREAD_GRAYSCALE) # downscaling image to 28x28 image = cv2.resize(image, (128, 128)) x_train.append(image) print(\"Loaded:","print(\"Loaded: \" + img_path) # extracting labels y_train.append(label_row[row]) if (data_type_row[row] == \"TEST\"): #","import matplotlib.pyplot as plt class DataLoader: def load_data(): ''' This function is handling","pd.read_csv(metadata_csv_path, delimiter=',') # dataset format: # image_name # label # data_type data_type_row =","# setting the path of the current image img_path = os.path.join(train_img_dir_path, image_row[row]) #","file as dataframe df = pd.read_csv(metadata_csv_path, delimiter=',') # dataset format: # image_name #","to 28x28 image = cv2.resize(image, (128, 128)) x_test.append(image) print(\"Loaded: \" + img_path) #","np.asarray(x_train) ytrain = np.asarray(y_train) xtest = np.asarray(x_test) ytest = np.asarray(y_test) print(x_train[0].shape) print(x_train[0].shape) print(xtrain[0].shape)","setting the path to train data x_test_path = os.path.join(path, const.DIR_TEST) # reading meta","28x28 image = cv2.resize(image, (128, 128)) x_test.append(image) print(\"Loaded: \" + img_path) # extracting","data x_train_path = os.path.join(path, const.DIR_TRAIN) print(x_train_path) # setting the path to train data","image_row = df[\"image_name\"].tolist() label_row = df[\"label\"].tolist() data_rows = len(data_type_row) for row in range(data_rows):","the current image img_path = os.path.join(train_img_dir_path, image_row[row]) # reading image image = cv2.imread(img_path,","= os.path.join(path, const.DIR_TRAIN) print(metadata_csv_path) # setting the path to train data x_train_path =","label # data_type data_type_row = df[\"data_type\"].tolist() image_row = df[\"image_name\"].tolist() label_row = df[\"label\"].tolist() data_rows","= cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling image to 28x28 image = cv2.resize(image, (128, 128))","# downscaling image to 28x28 image = cv2.resize(image, (128, 128)) x_train.append(image) print(\"Loaded: \"","if (data_type_row[row] == \"TEST\"): # setting the path of the current image img_path","the current image img_path = os.path.join(test_img_dir_path, image_row[row]) # reading image image = cv2.imread(img_path,","const.DIR_TEST) train_img_dir_path = os.path.join(path, const.DIR_TRAIN) print(metadata_csv_path) # setting the path to train data","np.asarray(x_test) ytest = np.asarray(y_test) print(x_train[0].shape) print(x_train[0].shape) print(xtrain[0].shape) print(x_test[0].shape) #(X_train, y_train), (X_test, y_test) return","y_test.append(label_row[row]) xtrain = np.asarray(x_train) ytrain = np.asarray(y_train) xtest = np.asarray(x_test) ytest = np.asarray(y_test)","path of the current image img_path = os.path.join(train_img_dir_path, image_row[row]) # reading image image","os.path.join(train_img_dir_path, image_row[row]) # reading image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling image to","(data_type_row[row] == \"TEST\"): # setting the path of the current image img_path =","= np.asarray(x_train) ytrain = np.asarray(y_train) xtest = np.asarray(x_test) ytest = np.asarray(y_test) print(x_train[0].shape) print(x_train[0].shape)","for row in range(data_rows): if (data_type_row[row] == \"TRAIN\"): # setting the path of","= len(data_type_row) for row in range(data_rows): if (data_type_row[row] == \"TRAIN\"): # setting the","image to 28x28 image = cv2.resize(image, (128, 128)) x_test.append(image) print(\"Loaded: \" + img_path)","train data x_test_path = os.path.join(path, const.DIR_TEST) # reading meta data file as dataframe","DataLoader: def load_data(): ''' This function is handling the data loading and pre-processing","128)) x_train.append(image) print(\"Loaded: \" + img_path) # extracting labels y_train.append(label_row[row]) if (data_type_row[row] ==","const.FILE_METADATA) test_img_dir_path = os.path.join(path, const.DIR_TEST) train_img_dir_path = os.path.join(path, const.DIR_TRAIN) print(metadata_csv_path) # setting the","const.DIR_TRAIN) print(metadata_csv_path) # setting the path to train data x_train_path = os.path.join(path, const.DIR_TRAIN)","and pre-processing :return: (xtrain, ytrain), (xtest, ytest) ''' print('**** Read data into DAugmentor","path = const.PATH metadata_csv_path = os.path.join(path, const.FILE_METADATA) test_img_dir_path = os.path.join(path, const.DIR_TEST) train_img_dir_path =","image img_path = os.path.join(test_img_dir_path, image_row[row]) # reading image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) #","x_train = [] y_train = [] x_test = [] y_test = [] #","os.path.join(path, const.FILE_METADATA) test_img_dir_path = os.path.join(path, const.DIR_TEST) train_img_dir_path = os.path.join(path, const.DIR_TRAIN) print(metadata_csv_path) # setting","== \"TRAIN\"): # setting the path of the current image img_path = os.path.join(train_img_dir_path,","= np.asarray(y_test) print(x_train[0].shape) print(x_train[0].shape) print(xtrain[0].shape) print(x_test[0].shape) #(X_train, y_train), (X_test, y_test) return (xtrain, ytrain),","= np.asarray(y_train) xtest = np.asarray(x_test) ytest = np.asarray(y_test) print(x_train[0].shape) print(x_train[0].shape) print(xtrain[0].shape) print(x_test[0].shape) #(X_train,","image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling image to 28x28 image = cv2.resize(image,","# reading image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling image to 28x28 image","of the current image img_path = os.path.join(train_img_dir_path, image_row[row]) # reading image image =","data x_test_path = os.path.join(path, const.DIR_TEST) # reading meta data file as dataframe df","\"TRAIN\"): # setting the path of the current image img_path = os.path.join(train_img_dir_path, image_row[row])","as const import matplotlib.pyplot as plt class DataLoader: def load_data(): ''' This function","cv2.IMREAD_GRAYSCALE) # downscaling image to 28x28 image = cv2.resize(image, (128, 128)) x_test.append(image) print(\"Loaded:","# extracting labels y_train.append(label_row[row]) if (data_type_row[row] == \"TEST\"): # setting the path of","# downscaling image to 28x28 image = cv2.resize(image, (128, 128)) x_test.append(image) print(\"Loaded: \"","const import matplotlib.pyplot as plt class DataLoader: def load_data(): ''' This function is","import numpy as np import cv2 from utils import constants as const import","from utils import constants as const import matplotlib.pyplot as plt class DataLoader: def","plt class DataLoader: def load_data(): ''' This function is handling the data loading","# label # data_type data_type_row = df[\"data_type\"].tolist() image_row = df[\"image_name\"].tolist() label_row = df[\"label\"].tolist()","<gh_stars>1-10 import pandas as pd import os import numpy as np import cv2","= [] y_train = [] x_test = [] y_test = [] # setting","****') x_train = [] y_train = [] x_test = [] y_test = []","df[\"image_name\"].tolist() label_row = df[\"label\"].tolist() data_rows = len(data_type_row) for row in range(data_rows): if (data_type_row[row]","= df[\"label\"].tolist() data_rows = len(data_type_row) for row in range(data_rows): if (data_type_row[row] == \"TRAIN\"):","data_rows = len(data_type_row) for row in range(data_rows): if (data_type_row[row] == \"TRAIN\"): # setting","= [] x_test = [] y_test = [] # setting the path to","= os.path.join(path, const.DIR_TEST) train_img_dir_path = os.path.join(path, const.DIR_TRAIN) print(metadata_csv_path) # setting the path to","# setting the path of the current image img_path = os.path.join(test_img_dir_path, image_row[row]) #","= df[\"image_name\"].tolist() label_row = df[\"label\"].tolist() data_rows = len(data_type_row) for row in range(data_rows): if","# reading meta data file as dataframe df = pd.read_csv(metadata_csv_path, delimiter=',') # dataset","np.asarray(y_test) print(x_train[0].shape) print(x_train[0].shape) print(xtrain[0].shape) print(x_test[0].shape) #(X_train, y_train), (X_test, y_test) return (xtrain, ytrain), (xtest,","# setting the path to train data x_train_path = os.path.join(path, const.DIR_TRAIN) print(x_train_path) #","x_test = [] y_test = [] # setting the path to metadata path","(xtrain, ytrain), (xtest, ytest) ''' print('**** Read data into DAugmentor ****') x_train =","handling the data loading and pre-processing :return: (xtrain, ytrain), (xtest, ytest) ''' print('****","\" + img_path) # extracting labels y_train.append(label_row[row]) if (data_type_row[row] == \"TEST\"): # setting","pre-processing :return: (xtrain, ytrain), (xtest, ytest) ''' print('**** Read data into DAugmentor ****')","import constants as const import matplotlib.pyplot as plt class DataLoader: def load_data(): '''","os.path.join(path, const.DIR_TRAIN) print(metadata_csv_path) # setting the path to train data x_train_path = os.path.join(path,","meta data file as dataframe df = pd.read_csv(metadata_csv_path, delimiter=',') # dataset format: #","x_test_path = os.path.join(path, const.DIR_TEST) # reading meta data file as dataframe df =","pandas as pd import os import numpy as np import cv2 from utils","delimiter=',') # dataset format: # image_name # label # data_type data_type_row = df[\"data_type\"].tolist()","df = pd.read_csv(metadata_csv_path, delimiter=',') # dataset format: # image_name # label # data_type","xtrain = np.asarray(x_train) ytrain = np.asarray(y_train) xtest = np.asarray(x_test) ytest = np.asarray(y_test) print(x_train[0].shape)","np.asarray(y_train) xtest = np.asarray(x_test) ytest = np.asarray(y_test) print(x_train[0].shape) print(x_train[0].shape) print(xtrain[0].shape) print(x_test[0].shape) #(X_train, y_train),","(128, 128)) x_test.append(image) print(\"Loaded: \" + img_path) # extracting labels y_test.append(label_row[row]) xtrain =","downscaling image to 28x28 image = cv2.resize(image, (128, 128)) x_test.append(image) print(\"Loaded: \" +","(xtest, ytest) ''' print('**** Read data into DAugmentor ****') x_train = [] y_train","metadata_csv_path = os.path.join(path, const.FILE_METADATA) test_img_dir_path = os.path.join(path, const.DIR_TEST) train_img_dir_path = os.path.join(path, const.DIR_TRAIN) print(metadata_csv_path)","x_train_path = os.path.join(path, const.DIR_TRAIN) print(x_train_path) # setting the path to train data x_test_path","dataframe df = pd.read_csv(metadata_csv_path, delimiter=',') # dataset format: # image_name # label #","print('**** Read data into DAugmentor ****') x_train = [] y_train = [] x_test","import os import numpy as np import cv2 from utils import constants as","\"TEST\"): # setting the path of the current image img_path = os.path.join(test_img_dir_path, image_row[row])","reading meta data file as dataframe df = pd.read_csv(metadata_csv_path, delimiter=',') # dataset format:","in range(data_rows): if (data_type_row[row] == \"TRAIN\"): # setting the path of the current","data into DAugmentor ****') x_train = [] y_train = [] x_test = []","setting the path to train data x_train_path = os.path.join(path, const.DIR_TRAIN) print(x_train_path) # setting","data_type data_type_row = df[\"data_type\"].tolist() image_row = df[\"image_name\"].tolist() label_row = df[\"label\"].tolist() data_rows = len(data_type_row)","numpy as np import cv2 from utils import constants as const import matplotlib.pyplot","x_test.append(image) print(\"Loaded: \" + img_path) # extracting labels y_test.append(label_row[row]) xtrain = np.asarray(x_train) ytrain","if (data_type_row[row] == \"TRAIN\"): # setting the path of the current image img_path","(128, 128)) x_train.append(image) print(\"Loaded: \" + img_path) # extracting labels y_train.append(label_row[row]) if (data_type_row[row]","128)) x_test.append(image) print(\"Loaded: \" + img_path) # extracting labels y_test.append(label_row[row]) xtrain = np.asarray(x_train)","const.PATH metadata_csv_path = os.path.join(path, const.FILE_METADATA) test_img_dir_path = os.path.join(path, const.DIR_TEST) train_img_dir_path = os.path.join(path, const.DIR_TRAIN)",":return: (xtrain, ytrain), (xtest, ytest) ''' print('**** Read data into DAugmentor ****') x_train","y_test = [] # setting the path to metadata path = const.PATH metadata_csv_path","current image img_path = os.path.join(test_img_dir_path, image_row[row]) # reading image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE)","y_train.append(label_row[row]) if (data_type_row[row] == \"TEST\"): # setting the path of the current image","img_path = os.path.join(train_img_dir_path, image_row[row]) # reading image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling","current image img_path = os.path.join(train_img_dir_path, image_row[row]) # reading image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE)","cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling image to 28x28 image = cv2.resize(image, (128, 128)) x_test.append(image)","[] # setting the path to metadata path = const.PATH metadata_csv_path = os.path.join(path,","path to train data x_test_path = os.path.join(path, const.DIR_TEST) # reading meta data file","path to train data x_train_path = os.path.join(path, const.DIR_TRAIN) print(x_train_path) # setting the path","= df[\"data_type\"].tolist() image_row = df[\"image_name\"].tolist() label_row = df[\"label\"].tolist() data_rows = len(data_type_row) for row","= os.path.join(path, const.DIR_TRAIN) print(x_train_path) # setting the path to train data x_test_path =","range(data_rows): if (data_type_row[row] == \"TRAIN\"): # setting the path of the current image","os.path.join(path, const.DIR_TEST) # reading meta data file as dataframe df = pd.read_csv(metadata_csv_path, delimiter=',')","is handling the data loading and pre-processing :return: (xtrain, ytrain), (xtest, ytest) '''","28x28 image = cv2.resize(image, (128, 128)) x_train.append(image) print(\"Loaded: \" + img_path) # extracting","image = cv2.resize(image, (128, 128)) x_test.append(image) print(\"Loaded: \" + img_path) # extracting labels","\" + img_path) # extracting labels y_test.append(label_row[row]) xtrain = np.asarray(x_train) ytrain = np.asarray(y_train)","np import cv2 from utils import constants as const import matplotlib.pyplot as plt","os.path.join(path, const.DIR_TEST) train_img_dir_path = os.path.join(path, const.DIR_TRAIN) print(metadata_csv_path) # setting the path to train","= cv2.resize(image, (128, 128)) x_train.append(image) print(\"Loaded: \" + img_path) # extracting labels y_train.append(label_row[row])","dataset format: # image_name # label # data_type data_type_row = df[\"data_type\"].tolist() image_row =","# setting the path to metadata path = const.PATH metadata_csv_path = os.path.join(path, const.FILE_METADATA)","to 28x28 image = cv2.resize(image, (128, 128)) x_train.append(image) print(\"Loaded: \" + img_path) #","ytrain), (xtest, ytest) ''' print('**** Read data into DAugmentor ****') x_train = []","label_row = df[\"label\"].tolist() data_rows = len(data_type_row) for row in range(data_rows): if (data_type_row[row] ==","data loading and pre-processing :return: (xtrain, ytrain), (xtest, ytest) ''' print('**** Read data","data_type_row = df[\"data_type\"].tolist() image_row = df[\"image_name\"].tolist() label_row = df[\"label\"].tolist() data_rows = len(data_type_row) for","image = cv2.resize(image, (128, 128)) x_train.append(image) print(\"Loaded: \" + img_path) # extracting labels","setting the path of the current image img_path = os.path.join(test_img_dir_path, image_row[row]) # reading","# extracting labels y_test.append(label_row[row]) xtrain = np.asarray(x_train) ytrain = np.asarray(y_train) xtest = np.asarray(x_test)","utils import constants as const import matplotlib.pyplot as plt class DataLoader: def load_data():","import pandas as pd import os import numpy as np import cv2 from","format: # image_name # label # data_type data_type_row = df[\"data_type\"].tolist() image_row = df[\"image_name\"].tolist()","train data x_train_path = os.path.join(path, const.DIR_TRAIN) print(x_train_path) # setting the path to train","== \"TEST\"): # setting the path of the current image img_path = os.path.join(test_img_dir_path,","df[\"data_type\"].tolist() image_row = df[\"image_name\"].tolist() label_row = df[\"label\"].tolist() data_rows = len(data_type_row) for row in","the path to train data x_test_path = os.path.join(path, const.DIR_TEST) # reading meta data","cv2.resize(image, (128, 128)) x_test.append(image) print(\"Loaded: \" + img_path) # extracting labels y_test.append(label_row[row]) xtrain","''' print('**** Read data into DAugmentor ****') x_train = [] y_train = []","= pd.read_csv(metadata_csv_path, delimiter=',') # dataset format: # image_name # label # data_type data_type_row","image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling image to 28x28 image = cv2.resize(image, (128,","ytrain = np.asarray(y_train) xtest = np.asarray(x_test) ytest = np.asarray(y_test) print(x_train[0].shape) print(x_train[0].shape) print(xtrain[0].shape) print(x_test[0].shape)","= [] # setting the path to metadata path = const.PATH metadata_csv_path =","image img_path = os.path.join(train_img_dir_path, image_row[row]) # reading image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) #","= os.path.join(path, const.DIR_TEST) # reading meta data file as dataframe df = pd.read_csv(metadata_csv_path,","= os.path.join(path, const.FILE_METADATA) test_img_dir_path = os.path.join(path, const.DIR_TEST) train_img_dir_path = os.path.join(path, const.DIR_TRAIN) print(metadata_csv_path) #","extracting labels y_train.append(label_row[row]) if (data_type_row[row] == \"TEST\"): # setting the path of the","downscaling image to 28x28 image = cv2.resize(image, (128, 128)) x_train.append(image) print(\"Loaded: \" +","print(metadata_csv_path) # setting the path to train data x_train_path = os.path.join(path, const.DIR_TRAIN) print(x_train_path)","''' This function is handling the data loading and pre-processing :return: (xtrain, ytrain),","x_train.append(image) print(\"Loaded: \" + img_path) # extracting labels y_train.append(label_row[row]) if (data_type_row[row] == \"TEST\"):","the path of the current image img_path = os.path.join(train_img_dir_path, image_row[row]) # reading image","setting the path to metadata path = const.PATH metadata_csv_path = os.path.join(path, const.FILE_METADATA) test_img_dir_path","the data loading and pre-processing :return: (xtrain, ytrain), (xtest, ytest) ''' print('**** Read","labels y_test.append(label_row[row]) xtrain = np.asarray(x_train) ytrain = np.asarray(y_train) xtest = np.asarray(x_test) ytest =","[] y_train = [] x_test = [] y_test = [] # setting the","DAugmentor ****') x_train = [] y_train = [] x_test = [] y_test =","+ img_path) # extracting labels y_test.append(label_row[row]) xtrain = np.asarray(x_train) ytrain = np.asarray(y_train) xtest","# image_name # label # data_type data_type_row = df[\"data_type\"].tolist() image_row = df[\"image_name\"].tolist() label_row","matplotlib.pyplot as plt class DataLoader: def load_data(): ''' This function is handling the","const.DIR_TRAIN) print(x_train_path) # setting the path to train data x_test_path = os.path.join(path, const.DIR_TEST)","cv2 from utils import constants as const import matplotlib.pyplot as plt class DataLoader:","= os.path.join(train_img_dir_path, image_row[row]) # reading image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling image","= const.PATH metadata_csv_path = os.path.join(path, const.FILE_METADATA) test_img_dir_path = os.path.join(path, const.DIR_TEST) train_img_dir_path = os.path.join(path,","image_name # label # data_type data_type_row = df[\"data_type\"].tolist() image_row = df[\"image_name\"].tolist() label_row =","[] x_test = [] y_test = [] # setting the path to metadata","to train data x_train_path = os.path.join(path, const.DIR_TRAIN) print(x_train_path) # setting the path to","y_train = [] x_test = [] y_test = [] # setting the path","path of the current image img_path = os.path.join(test_img_dir_path, image_row[row]) # reading image image","image to 28x28 image = cv2.resize(image, (128, 128)) x_train.append(image) print(\"Loaded: \" + img_path)","path to metadata path = const.PATH metadata_csv_path = os.path.join(path, const.FILE_METADATA) test_img_dir_path = os.path.join(path,","the path to metadata path = const.PATH metadata_csv_path = os.path.join(path, const.FILE_METADATA) test_img_dir_path =","as pd import os import numpy as np import cv2 from utils import","labels y_train.append(label_row[row]) if (data_type_row[row] == \"TEST\"): # setting the path of the current","reading image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling image to 28x28 image =","metadata path = const.PATH metadata_csv_path = os.path.join(path, const.FILE_METADATA) test_img_dir_path = os.path.join(path, const.DIR_TEST) train_img_dir_path","= cv2.resize(image, (128, 128)) x_test.append(image) print(\"Loaded: \" + img_path) # extracting labels y_test.append(label_row[row])","print(\"Loaded: \" + img_path) # extracting labels y_test.append(label_row[row]) xtrain = np.asarray(x_train) ytrain =","cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling image to 28x28 image = cv2.resize(image, (128, 128)) x_train.append(image)","of the current image img_path = os.path.join(test_img_dir_path, image_row[row]) # reading image image =","extracting labels y_test.append(label_row[row]) xtrain = np.asarray(x_train) ytrain = np.asarray(y_train) xtest = np.asarray(x_test) ytest","= os.path.join(test_img_dir_path, image_row[row]) # reading image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling image","print(x_train_path) # setting the path to train data x_test_path = os.path.join(path, const.DIR_TEST) #","test_img_dir_path = os.path.join(path, const.DIR_TEST) train_img_dir_path = os.path.join(path, const.DIR_TRAIN) print(metadata_csv_path) # setting the path","+ img_path) # extracting labels y_train.append(label_row[row]) if (data_type_row[row] == \"TEST\"): # setting the"],"string":"[\n \"loading and pre-processing :return: (xtrain, ytrain), (xtest, ytest) ''' print('**** Read data into\",\n \"os import numpy as np import cv2 from utils import constants as const\",\n \"to metadata path = const.PATH metadata_csv_path = os.path.join(path, const.FILE_METADATA) test_img_dir_path = os.path.join(path, const.DIR_TEST)\",\n \"os.path.join(test_img_dir_path, image_row[row]) # reading image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling image to\",\n \"the path to train data x_train_path = os.path.join(path, const.DIR_TRAIN) print(x_train_path) # setting the\",\n \"function is handling the data loading and pre-processing :return: (xtrain, ytrain), (xtest, ytest)\",\n \"as dataframe df = pd.read_csv(metadata_csv_path, delimiter=',') # dataset format: # image_name # label\",\n \"This function is handling the data loading and pre-processing :return: (xtrain, ytrain), (xtest,\",\n \"img_path) # extracting labels y_test.append(label_row[row]) xtrain = np.asarray(x_train) ytrain = np.asarray(y_train) xtest =\",\n \"import cv2 from utils import constants as const import matplotlib.pyplot as plt class\",\n \"image_row[row]) # reading image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling image to 28x28\",\n \"constants as const import matplotlib.pyplot as plt class DataLoader: def load_data(): ''' This\",\n \"as plt class DataLoader: def load_data(): ''' This function is handling the data\",\n \"class DataLoader: def load_data(): ''' This function is handling the data loading and\",\n \"setting the path of the current image img_path = os.path.join(train_img_dir_path, image_row[row]) # reading\",\n \"const.DIR_TEST) # reading meta data file as dataframe df = pd.read_csv(metadata_csv_path, delimiter=',') #\",\n \"os.path.join(path, const.DIR_TRAIN) print(x_train_path) # setting the path to train data x_test_path = os.path.join(path,\",\n \"df[\\\"label\\\"].tolist() data_rows = len(data_type_row) for row in range(data_rows): if (data_type_row[row] == \\\"TRAIN\\\"): #\",\n \"len(data_type_row) for row in range(data_rows): if (data_type_row[row] == \\\"TRAIN\\\"): # setting the path\",\n \"= np.asarray(x_test) ytest = np.asarray(y_test) print(x_train[0].shape) print(x_train[0].shape) print(xtrain[0].shape) print(x_test[0].shape) #(X_train, y_train), (X_test, y_test)\",\n \"ytest = np.asarray(y_test) print(x_train[0].shape) print(x_train[0].shape) print(xtrain[0].shape) print(x_test[0].shape) #(X_train, y_train), (X_test, y_test) return (xtrain,\",\n \"img_path = os.path.join(test_img_dir_path, image_row[row]) # reading image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling\",\n \"pd import os import numpy as np import cv2 from utils import constants\",\n \"Read data into DAugmentor ****') x_train = [] y_train = [] x_test =\",\n \"(data_type_row[row] == \\\"TRAIN\\\"): # setting the path of the current image img_path =\",\n \"img_path) # extracting labels y_train.append(label_row[row]) if (data_type_row[row] == \\\"TEST\\\"): # setting the path\",\n \"def load_data(): ''' This function is handling the data loading and pre-processing :return:\",\n \"# data_type data_type_row = df[\\\"data_type\\\"].tolist() image_row = df[\\\"image_name\\\"].tolist() label_row = df[\\\"label\\\"].tolist() data_rows =\",\n \"xtest = np.asarray(x_test) ytest = np.asarray(y_test) print(x_train[0].shape) print(x_train[0].shape) print(xtrain[0].shape) print(x_test[0].shape) #(X_train, y_train), (X_test,\",\n \"# dataset format: # image_name # label # data_type data_type_row = df[\\\"data_type\\\"].tolist() image_row\",\n \"to train data x_test_path = os.path.join(path, const.DIR_TEST) # reading meta data file as\",\n \"the path of the current image img_path = os.path.join(test_img_dir_path, image_row[row]) # reading image\",\n \"data file as dataframe df = pd.read_csv(metadata_csv_path, delimiter=',') # dataset format: # image_name\",\n \"print(x_train[0].shape) print(x_train[0].shape) print(xtrain[0].shape) print(x_test[0].shape) #(X_train, y_train), (X_test, y_test) return (xtrain, ytrain), (xtest, ytest)\",\n \"# setting the path to train data x_test_path = os.path.join(path, const.DIR_TEST) # reading\",\n \"row in range(data_rows): if (data_type_row[row] == \\\"TRAIN\\\"): # setting the path of the\",\n \"cv2.resize(image, (128, 128)) x_train.append(image) print(\\\"Loaded: \\\" + img_path) # extracting labels y_train.append(label_row[row]) if\",\n \"ytest) ''' print('**** Read data into DAugmentor ****') x_train = [] y_train =\",\n \"as np import cv2 from utils import constants as const import matplotlib.pyplot as\",\n \"load_data(): ''' This function is handling the data loading and pre-processing :return: (xtrain,\",\n \"= [] y_test = [] # setting the path to metadata path =\",\n \"train_img_dir_path = os.path.join(path, const.DIR_TRAIN) print(metadata_csv_path) # setting the path to train data x_train_path\",\n \"into DAugmentor ****') x_train = [] y_train = [] x_test = [] y_test\",\n \"[] y_test = [] # setting the path to metadata path = const.PATH\",\n \"cv2.IMREAD_GRAYSCALE) # downscaling image to 28x28 image = cv2.resize(image, (128, 128)) x_train.append(image) print(\\\"Loaded:\",\n \"print(\\\"Loaded: \\\" + img_path) # extracting labels y_train.append(label_row[row]) if (data_type_row[row] == \\\"TEST\\\"): #\",\n \"import matplotlib.pyplot as plt class DataLoader: def load_data(): ''' This function is handling\",\n \"pd.read_csv(metadata_csv_path, delimiter=',') # dataset format: # image_name # label # data_type data_type_row =\",\n \"# setting the path of the current image img_path = os.path.join(train_img_dir_path, image_row[row]) #\",\n \"file as dataframe df = pd.read_csv(metadata_csv_path, delimiter=',') # dataset format: # image_name #\",\n \"to 28x28 image = cv2.resize(image, (128, 128)) x_test.append(image) print(\\\"Loaded: \\\" + img_path) #\",\n \"np.asarray(x_train) ytrain = np.asarray(y_train) xtest = np.asarray(x_test) ytest = np.asarray(y_test) print(x_train[0].shape) print(x_train[0].shape) print(xtrain[0].shape)\",\n \"setting the path to train data x_test_path = os.path.join(path, const.DIR_TEST) # reading meta\",\n \"28x28 image = cv2.resize(image, (128, 128)) x_test.append(image) print(\\\"Loaded: \\\" + img_path) # extracting\",\n \"data x_train_path = os.path.join(path, const.DIR_TRAIN) print(x_train_path) # setting the path to train data\",\n \"image_row = df[\\\"image_name\\\"].tolist() label_row = df[\\\"label\\\"].tolist() data_rows = len(data_type_row) for row in range(data_rows):\",\n \"the current image img_path = os.path.join(train_img_dir_path, image_row[row]) # reading image image = cv2.imread(img_path,\",\n \"= os.path.join(path, const.DIR_TRAIN) print(metadata_csv_path) # setting the path to train data x_train_path =\",\n \"label # data_type data_type_row = df[\\\"data_type\\\"].tolist() image_row = df[\\\"image_name\\\"].tolist() label_row = df[\\\"label\\\"].tolist() data_rows\",\n \"= cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling image to 28x28 image = cv2.resize(image, (128, 128))\",\n \"# downscaling image to 28x28 image = cv2.resize(image, (128, 128)) x_train.append(image) print(\\\"Loaded: \\\"\",\n \"if (data_type_row[row] == \\\"TEST\\\"): # setting the path of the current image img_path\",\n \"the current image img_path = os.path.join(test_img_dir_path, image_row[row]) # reading image image = cv2.imread(img_path,\",\n \"const.DIR_TEST) train_img_dir_path = os.path.join(path, const.DIR_TRAIN) print(metadata_csv_path) # setting the path to train data\",\n \"np.asarray(x_test) ytest = np.asarray(y_test) print(x_train[0].shape) print(x_train[0].shape) print(xtrain[0].shape) print(x_test[0].shape) #(X_train, y_train), (X_test, y_test) return\",\n \"y_test.append(label_row[row]) xtrain = np.asarray(x_train) ytrain = np.asarray(y_train) xtest = np.asarray(x_test) ytest = np.asarray(y_test)\",\n \"path of the current image img_path = os.path.join(train_img_dir_path, image_row[row]) # reading image image\",\n \"os.path.join(train_img_dir_path, image_row[row]) # reading image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling image to\",\n \"(data_type_row[row] == \\\"TEST\\\"): # setting the path of the current image img_path =\",\n \"= np.asarray(x_train) ytrain = np.asarray(y_train) xtest = np.asarray(x_test) ytest = np.asarray(y_test) print(x_train[0].shape) print(x_train[0].shape)\",\n \"for row in range(data_rows): if (data_type_row[row] == \\\"TRAIN\\\"): # setting the path of\",\n \"= len(data_type_row) for row in range(data_rows): if (data_type_row[row] == \\\"TRAIN\\\"): # setting the\",\n \"image to 28x28 image = cv2.resize(image, (128, 128)) x_test.append(image) print(\\\"Loaded: \\\" + img_path)\",\n \"train data x_test_path = os.path.join(path, const.DIR_TEST) # reading meta data file as dataframe\",\n \"DataLoader: def load_data(): ''' This function is handling the data loading and pre-processing\",\n \"128)) x_train.append(image) print(\\\"Loaded: \\\" + img_path) # extracting labels y_train.append(label_row[row]) if (data_type_row[row] ==\",\n \"const.FILE_METADATA) test_img_dir_path = os.path.join(path, const.DIR_TEST) train_img_dir_path = os.path.join(path, const.DIR_TRAIN) print(metadata_csv_path) # setting the\",\n \"const.DIR_TRAIN) print(metadata_csv_path) # setting the path to train data x_train_path = os.path.join(path, const.DIR_TRAIN)\",\n \"and pre-processing :return: (xtrain, ytrain), (xtest, ytest) ''' print('**** Read data into DAugmentor\",\n \"path = const.PATH metadata_csv_path = os.path.join(path, const.FILE_METADATA) test_img_dir_path = os.path.join(path, const.DIR_TEST) train_img_dir_path =\",\n \"image img_path = os.path.join(test_img_dir_path, image_row[row]) # reading image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) #\",\n \"x_train = [] y_train = [] x_test = [] y_test = [] #\",\n \"os.path.join(path, const.FILE_METADATA) test_img_dir_path = os.path.join(path, const.DIR_TEST) train_img_dir_path = os.path.join(path, const.DIR_TRAIN) print(metadata_csv_path) # setting\",\n \"== \\\"TRAIN\\\"): # setting the path of the current image img_path = os.path.join(train_img_dir_path,\",\n \"= np.asarray(y_test) print(x_train[0].shape) print(x_train[0].shape) print(xtrain[0].shape) print(x_test[0].shape) #(X_train, y_train), (X_test, y_test) return (xtrain, ytrain),\",\n \"= np.asarray(y_train) xtest = np.asarray(x_test) ytest = np.asarray(y_test) print(x_train[0].shape) print(x_train[0].shape) print(xtrain[0].shape) print(x_test[0].shape) #(X_train,\",\n \"image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling image to 28x28 image = cv2.resize(image,\",\n \"# reading image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling image to 28x28 image\",\n \"of the current image img_path = os.path.join(train_img_dir_path, image_row[row]) # reading image image =\",\n \"data x_test_path = os.path.join(path, const.DIR_TEST) # reading meta data file as dataframe df\",\n \"\\\"TRAIN\\\"): # setting the path of the current image img_path = os.path.join(train_img_dir_path, image_row[row])\",\n \"as const import matplotlib.pyplot as plt class DataLoader: def load_data(): ''' This function\",\n \"cv2.IMREAD_GRAYSCALE) # downscaling image to 28x28 image = cv2.resize(image, (128, 128)) x_test.append(image) print(\\\"Loaded:\",\n \"# extracting labels y_train.append(label_row[row]) if (data_type_row[row] == \\\"TEST\\\"): # setting the path of\",\n \"# downscaling image to 28x28 image = cv2.resize(image, (128, 128)) x_test.append(image) print(\\\"Loaded: \\\"\",\n \"const import matplotlib.pyplot as plt class DataLoader: def load_data(): ''' This function is\",\n \"import numpy as np import cv2 from utils import constants as const import\",\n \"from utils import constants as const import matplotlib.pyplot as plt class DataLoader: def\",\n \"plt class DataLoader: def load_data(): ''' This function is handling the data loading\",\n \"# label # data_type data_type_row = df[\\\"data_type\\\"].tolist() image_row = df[\\\"image_name\\\"].tolist() label_row = df[\\\"label\\\"].tolist()\",\n \"<gh_stars>1-10 import pandas as pd import os import numpy as np import cv2\",\n \"= [] y_train = [] x_test = [] y_test = [] # setting\",\n \"****') x_train = [] y_train = [] x_test = [] y_test = []\",\n \"df[\\\"image_name\\\"].tolist() label_row = df[\\\"label\\\"].tolist() data_rows = len(data_type_row) for row in range(data_rows): if (data_type_row[row]\",\n \"= df[\\\"label\\\"].tolist() data_rows = len(data_type_row) for row in range(data_rows): if (data_type_row[row] == \\\"TRAIN\\\"):\",\n \"data_rows = len(data_type_row) for row in range(data_rows): if (data_type_row[row] == \\\"TRAIN\\\"): # setting\",\n \"= [] x_test = [] y_test = [] # setting the path to\",\n \"= os.path.join(path, const.DIR_TEST) train_img_dir_path = os.path.join(path, const.DIR_TRAIN) print(metadata_csv_path) # setting the path to\",\n \"# setting the path of the current image img_path = os.path.join(test_img_dir_path, image_row[row]) #\",\n \"= df[\\\"image_name\\\"].tolist() label_row = df[\\\"label\\\"].tolist() data_rows = len(data_type_row) for row in range(data_rows): if\",\n \"# reading meta data file as dataframe df = pd.read_csv(metadata_csv_path, delimiter=',') # dataset\",\n \"np.asarray(y_test) print(x_train[0].shape) print(x_train[0].shape) print(xtrain[0].shape) print(x_test[0].shape) #(X_train, y_train), (X_test, y_test) return (xtrain, ytrain), (xtest,\",\n \"# setting the path to train data x_train_path = os.path.join(path, const.DIR_TRAIN) print(x_train_path) #\",\n \"x_test = [] y_test = [] # setting the path to metadata path\",\n \"(xtrain, ytrain), (xtest, ytest) ''' print('**** Read data into DAugmentor ****') x_train =\",\n \"handling the data loading and pre-processing :return: (xtrain, ytrain), (xtest, ytest) ''' print('****\",\n \"\\\" + img_path) # extracting labels y_train.append(label_row[row]) if (data_type_row[row] == \\\"TEST\\\"): # setting\",\n \"pre-processing :return: (xtrain, ytrain), (xtest, ytest) ''' print('**** Read data into DAugmentor ****')\",\n \"import constants as const import matplotlib.pyplot as plt class DataLoader: def load_data(): '''\",\n \"os.path.join(path, const.DIR_TRAIN) print(metadata_csv_path) # setting the path to train data x_train_path = os.path.join(path,\",\n \"meta data file as dataframe df = pd.read_csv(metadata_csv_path, delimiter=',') # dataset format: #\",\n \"x_test_path = os.path.join(path, const.DIR_TEST) # reading meta data file as dataframe df =\",\n \"pandas as pd import os import numpy as np import cv2 from utils\",\n \"delimiter=',') # dataset format: # image_name # label # data_type data_type_row = df[\\\"data_type\\\"].tolist()\",\n \"df = pd.read_csv(metadata_csv_path, delimiter=',') # dataset format: # image_name # label # data_type\",\n \"xtrain = np.asarray(x_train) ytrain = np.asarray(y_train) xtest = np.asarray(x_test) ytest = np.asarray(y_test) print(x_train[0].shape)\",\n \"np.asarray(y_train) xtest = np.asarray(x_test) ytest = np.asarray(y_test) print(x_train[0].shape) print(x_train[0].shape) print(xtrain[0].shape) print(x_test[0].shape) #(X_train, y_train),\",\n \"(128, 128)) x_test.append(image) print(\\\"Loaded: \\\" + img_path) # extracting labels y_test.append(label_row[row]) xtrain =\",\n \"downscaling image to 28x28 image = cv2.resize(image, (128, 128)) x_test.append(image) print(\\\"Loaded: \\\" +\",\n \"(xtest, ytest) ''' print('**** Read data into DAugmentor ****') x_train = [] y_train\",\n \"metadata_csv_path = os.path.join(path, const.FILE_METADATA) test_img_dir_path = os.path.join(path, const.DIR_TEST) train_img_dir_path = os.path.join(path, const.DIR_TRAIN) print(metadata_csv_path)\",\n \"x_train_path = os.path.join(path, const.DIR_TRAIN) print(x_train_path) # setting the path to train data x_test_path\",\n \"dataframe df = pd.read_csv(metadata_csv_path, delimiter=',') # dataset format: # image_name # label #\",\n \"print('**** Read data into DAugmentor ****') x_train = [] y_train = [] x_test\",\n \"import os import numpy as np import cv2 from utils import constants as\",\n \"\\\"TEST\\\"): # setting the path of the current image img_path = os.path.join(test_img_dir_path, image_row[row])\",\n \"reading meta data file as dataframe df = pd.read_csv(metadata_csv_path, delimiter=',') # dataset format:\",\n \"in range(data_rows): if (data_type_row[row] == \\\"TRAIN\\\"): # setting the path of the current\",\n \"data into DAugmentor ****') x_train = [] y_train = [] x_test = []\",\n \"setting the path to train data x_train_path = os.path.join(path, const.DIR_TRAIN) print(x_train_path) # setting\",\n \"data_type data_type_row = df[\\\"data_type\\\"].tolist() image_row = df[\\\"image_name\\\"].tolist() label_row = df[\\\"label\\\"].tolist() data_rows = len(data_type_row)\",\n \"numpy as np import cv2 from utils import constants as const import matplotlib.pyplot\",\n \"x_test.append(image) print(\\\"Loaded: \\\" + img_path) # extracting labels y_test.append(label_row[row]) xtrain = np.asarray(x_train) ytrain\",\n \"if (data_type_row[row] == \\\"TRAIN\\\"): # setting the path of the current image img_path\",\n \"(128, 128)) x_train.append(image) print(\\\"Loaded: \\\" + img_path) # extracting labels y_train.append(label_row[row]) if (data_type_row[row]\",\n \"128)) x_test.append(image) print(\\\"Loaded: \\\" + img_path) # extracting labels y_test.append(label_row[row]) xtrain = np.asarray(x_train)\",\n \"const.PATH metadata_csv_path = os.path.join(path, const.FILE_METADATA) test_img_dir_path = os.path.join(path, const.DIR_TEST) train_img_dir_path = os.path.join(path, const.DIR_TRAIN)\",\n \":return: (xtrain, ytrain), (xtest, ytest) ''' print('**** Read data into DAugmentor ****') x_train\",\n \"y_test = [] # setting the path to metadata path = const.PATH metadata_csv_path\",\n \"current image img_path = os.path.join(test_img_dir_path, image_row[row]) # reading image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE)\",\n \"y_train.append(label_row[row]) if (data_type_row[row] == \\\"TEST\\\"): # setting the path of the current image\",\n \"img_path = os.path.join(train_img_dir_path, image_row[row]) # reading image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling\",\n \"current image img_path = os.path.join(train_img_dir_path, image_row[row]) # reading image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE)\",\n \"cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling image to 28x28 image = cv2.resize(image, (128, 128)) x_test.append(image)\",\n \"[] # setting the path to metadata path = const.PATH metadata_csv_path = os.path.join(path,\",\n \"path to train data x_test_path = os.path.join(path, const.DIR_TEST) # reading meta data file\",\n \"path to train data x_train_path = os.path.join(path, const.DIR_TRAIN) print(x_train_path) # setting the path\",\n \"= df[\\\"data_type\\\"].tolist() image_row = df[\\\"image_name\\\"].tolist() label_row = df[\\\"label\\\"].tolist() data_rows = len(data_type_row) for row\",\n \"= os.path.join(path, const.DIR_TRAIN) print(x_train_path) # setting the path to train data x_test_path =\",\n \"range(data_rows): if (data_type_row[row] == \\\"TRAIN\\\"): # setting the path of the current image\",\n \"os.path.join(path, const.DIR_TEST) # reading meta data file as dataframe df = pd.read_csv(metadata_csv_path, delimiter=',')\",\n \"is handling the data loading and pre-processing :return: (xtrain, ytrain), (xtest, ytest) '''\",\n \"28x28 image = cv2.resize(image, (128, 128)) x_train.append(image) print(\\\"Loaded: \\\" + img_path) # extracting\",\n \"image = cv2.resize(image, (128, 128)) x_test.append(image) print(\\\"Loaded: \\\" + img_path) # extracting labels\",\n \"\\\" + img_path) # extracting labels y_test.append(label_row[row]) xtrain = np.asarray(x_train) ytrain = np.asarray(y_train)\",\n \"np import cv2 from utils import constants as const import matplotlib.pyplot as plt\",\n \"os.path.join(path, const.DIR_TEST) train_img_dir_path = os.path.join(path, const.DIR_TRAIN) print(metadata_csv_path) # setting the path to train\",\n \"= cv2.resize(image, (128, 128)) x_train.append(image) print(\\\"Loaded: \\\" + img_path) # extracting labels y_train.append(label_row[row])\",\n \"dataset format: # image_name # label # data_type data_type_row = df[\\\"data_type\\\"].tolist() image_row =\",\n \"# setting the path to metadata path = const.PATH metadata_csv_path = os.path.join(path, const.FILE_METADATA)\",\n \"to 28x28 image = cv2.resize(image, (128, 128)) x_train.append(image) print(\\\"Loaded: \\\" + img_path) #\",\n \"ytrain), (xtest, ytest) ''' print('**** Read data into DAugmentor ****') x_train = []\",\n \"label_row = df[\\\"label\\\"].tolist() data_rows = len(data_type_row) for row in range(data_rows): if (data_type_row[row] ==\",\n \"data loading and pre-processing :return: (xtrain, ytrain), (xtest, ytest) ''' print('**** Read data\",\n \"data_type_row = df[\\\"data_type\\\"].tolist() image_row = df[\\\"image_name\\\"].tolist() label_row = df[\\\"label\\\"].tolist() data_rows = len(data_type_row) for\",\n \"image = cv2.resize(image, (128, 128)) x_train.append(image) print(\\\"Loaded: \\\" + img_path) # extracting labels\",\n \"setting the path of the current image img_path = os.path.join(test_img_dir_path, image_row[row]) # reading\",\n \"# extracting labels y_test.append(label_row[row]) xtrain = np.asarray(x_train) ytrain = np.asarray(y_train) xtest = np.asarray(x_test)\",\n \"utils import constants as const import matplotlib.pyplot as plt class DataLoader: def load_data():\",\n \"import pandas as pd import os import numpy as np import cv2 from\",\n \"format: # image_name # label # data_type data_type_row = df[\\\"data_type\\\"].tolist() image_row = df[\\\"image_name\\\"].tolist()\",\n \"train data x_train_path = os.path.join(path, const.DIR_TRAIN) print(x_train_path) # setting the path to train\",\n \"== \\\"TEST\\\"): # setting the path of the current image img_path = os.path.join(test_img_dir_path,\",\n \"df[\\\"data_type\\\"].tolist() image_row = df[\\\"image_name\\\"].tolist() label_row = df[\\\"label\\\"].tolist() data_rows = len(data_type_row) for row in\",\n \"the path to train data x_test_path = os.path.join(path, const.DIR_TEST) # reading meta data\",\n \"cv2.resize(image, (128, 128)) x_test.append(image) print(\\\"Loaded: \\\" + img_path) # extracting labels y_test.append(label_row[row]) xtrain\",\n \"''' print('**** Read data into DAugmentor ****') x_train = [] y_train = []\",\n \"= pd.read_csv(metadata_csv_path, delimiter=',') # dataset format: # image_name # label # data_type data_type_row\",\n \"image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling image to 28x28 image = cv2.resize(image, (128,\",\n \"ytrain = np.asarray(y_train) xtest = np.asarray(x_test) ytest = np.asarray(y_test) print(x_train[0].shape) print(x_train[0].shape) print(xtrain[0].shape) print(x_test[0].shape)\",\n \"= [] # setting the path to metadata path = const.PATH metadata_csv_path =\",\n \"image img_path = os.path.join(train_img_dir_path, image_row[row]) # reading image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) #\",\n \"= os.path.join(path, const.DIR_TEST) # reading meta data file as dataframe df = pd.read_csv(metadata_csv_path,\",\n \"= os.path.join(path, const.FILE_METADATA) test_img_dir_path = os.path.join(path, const.DIR_TEST) train_img_dir_path = os.path.join(path, const.DIR_TRAIN) print(metadata_csv_path) #\",\n \"extracting labels y_train.append(label_row[row]) if (data_type_row[row] == \\\"TEST\\\"): # setting the path of the\",\n \"downscaling image to 28x28 image = cv2.resize(image, (128, 128)) x_train.append(image) print(\\\"Loaded: \\\" +\",\n \"print(metadata_csv_path) # setting the path to train data x_train_path = os.path.join(path, const.DIR_TRAIN) print(x_train_path)\",\n \"''' This function is handling the data loading and pre-processing :return: (xtrain, ytrain),\",\n \"x_train.append(image) print(\\\"Loaded: \\\" + img_path) # extracting labels y_train.append(label_row[row]) if (data_type_row[row] == \\\"TEST\\\"):\",\n \"the path of the current image img_path = os.path.join(train_img_dir_path, image_row[row]) # reading image\",\n \"setting the path to metadata path = const.PATH metadata_csv_path = os.path.join(path, const.FILE_METADATA) test_img_dir_path\",\n \"the data loading and pre-processing :return: (xtrain, ytrain), (xtest, ytest) ''' print('**** Read\",\n \"labels y_test.append(label_row[row]) xtrain = np.asarray(x_train) ytrain = np.asarray(y_train) xtest = np.asarray(x_test) ytest =\",\n \"[] y_train = [] x_test = [] y_test = [] # setting the\",\n \"DAugmentor ****') x_train = [] y_train = [] x_test = [] y_test =\",\n \"+ img_path) # extracting labels y_test.append(label_row[row]) xtrain = np.asarray(x_train) ytrain = np.asarray(y_train) xtest\",\n \"# image_name # label # data_type data_type_row = df[\\\"data_type\\\"].tolist() image_row = df[\\\"image_name\\\"].tolist() label_row\",\n \"matplotlib.pyplot as plt class DataLoader: def load_data(): ''' This function is handling the\",\n \"const.DIR_TRAIN) print(x_train_path) # setting the path to train data x_test_path = os.path.join(path, const.DIR_TEST)\",\n \"cv2 from utils import constants as const import matplotlib.pyplot as plt class DataLoader:\",\n \"= os.path.join(train_img_dir_path, image_row[row]) # reading image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling image\",\n \"= const.PATH metadata_csv_path = os.path.join(path, const.FILE_METADATA) test_img_dir_path = os.path.join(path, const.DIR_TEST) train_img_dir_path = os.path.join(path,\",\n \"image_name # label # data_type data_type_row = df[\\\"data_type\\\"].tolist() image_row = df[\\\"image_name\\\"].tolist() label_row =\",\n \"[] x_test = [] y_test = [] # setting the path to metadata\",\n \"to train data x_train_path = os.path.join(path, const.DIR_TRAIN) print(x_train_path) # setting the path to\",\n \"y_train = [] x_test = [] y_test = [] # setting the path\",\n \"path of the current image img_path = os.path.join(test_img_dir_path, image_row[row]) # reading image image\",\n \"image to 28x28 image = cv2.resize(image, (128, 128)) x_train.append(image) print(\\\"Loaded: \\\" + img_path)\",\n \"path to metadata path = const.PATH metadata_csv_path = os.path.join(path, const.FILE_METADATA) test_img_dir_path = os.path.join(path,\",\n \"the path to metadata path = const.PATH metadata_csv_path = os.path.join(path, const.FILE_METADATA) test_img_dir_path =\",\n \"as pd import os import numpy as np import cv2 from utils import\",\n \"labels y_train.append(label_row[row]) if (data_type_row[row] == \\\"TEST\\\"): # setting the path of the current\",\n \"reading image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling image to 28x28 image =\",\n \"metadata path = const.PATH metadata_csv_path = os.path.join(path, const.FILE_METADATA) test_img_dir_path = os.path.join(path, const.DIR_TEST) train_img_dir_path\",\n \"= cv2.resize(image, (128, 128)) x_test.append(image) print(\\\"Loaded: \\\" + img_path) # extracting labels y_test.append(label_row[row])\",\n \"print(\\\"Loaded: \\\" + img_path) # extracting labels y_test.append(label_row[row]) xtrain = np.asarray(x_train) ytrain =\",\n \"cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling image to 28x28 image = cv2.resize(image, (128, 128)) x_train.append(image)\",\n \"of the current image img_path = os.path.join(test_img_dir_path, image_row[row]) # reading image image =\",\n \"extracting labels y_test.append(label_row[row]) xtrain = np.asarray(x_train) ytrain = np.asarray(y_train) xtest = np.asarray(x_test) ytest\",\n \"= os.path.join(test_img_dir_path, image_row[row]) # reading image image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) # downscaling image\",\n \"print(x_train_path) # setting the path to train data x_test_path = os.path.join(path, const.DIR_TEST) #\",\n \"test_img_dir_path = os.path.join(path, const.DIR_TEST) train_img_dir_path = os.path.join(path, const.DIR_TRAIN) print(metadata_csv_path) # setting the path\",\n \"+ img_path) # extracting labels y_train.append(label_row[row]) if (data_type_row[row] == \\\"TEST\\\"): # setting the\"\n]","isConversational":false}}},{"rowIdx":1286,"cells":{"ngram":{"kind":"list like","value":["file\") else: lex = Lexer(sys.argv[1]) with open(sys.argv[1]) as f: while True: c =","else: lex = Lexer(sys.argv[1]) with open(sys.argv[1]) as f: while True: c = f.read(1)","main.py file\") else: lex = Lexer(sys.argv[1]) with open(sys.argv[1]) as f: while True: c","import * import sys if len(sys.argv) != 2: print(\"usage: main.py file\") else: lex","lexer import * import sys if len(sys.argv) != 2: print(\"usage: main.py file\") else:","import sys if len(sys.argv) != 2: print(\"usage: main.py file\") else: lex = Lexer(sys.argv[1])","if len(sys.argv) != 2: print(\"usage: main.py file\") else: lex = Lexer(sys.argv[1]) with open(sys.argv[1])","from lexer import * import sys if len(sys.argv) != 2: print(\"usage: main.py file\")","<filename>CompilerPython/LexerPython/main.py from lexer import * import sys if len(sys.argv) != 2: print(\"usage: main.py","= Lexer(sys.argv[1]) with open(sys.argv[1]) as f: while True: c = f.read(1) if not","sys if len(sys.argv) != 2: print(\"usage: main.py file\") else: lex = Lexer(sys.argv[1]) with","print(\"usage: main.py file\") else: lex = Lexer(sys.argv[1]) with open(sys.argv[1]) as f: while True:","!= 2: print(\"usage: main.py file\") else: lex = Lexer(sys.argv[1]) with open(sys.argv[1]) as f:","* import sys if len(sys.argv) != 2: print(\"usage: main.py file\") else: lex =","Lexer(sys.argv[1]) with open(sys.argv[1]) as f: while True: c = f.read(1) if not c:","open(sys.argv[1]) as f: while True: c = f.read(1) if not c: break print(lex.scan().toString())","len(sys.argv) != 2: print(\"usage: main.py file\") else: lex = Lexer(sys.argv[1]) with open(sys.argv[1]) as","lex = Lexer(sys.argv[1]) with open(sys.argv[1]) as f: while True: c = f.read(1) if","2: print(\"usage: main.py file\") else: lex = Lexer(sys.argv[1]) with open(sys.argv[1]) as f: while","with open(sys.argv[1]) as f: while True: c = f.read(1) if not c: break"],"string":"[\n \"file\\\") else: lex = Lexer(sys.argv[1]) with open(sys.argv[1]) as f: while True: c =\",\n \"else: lex = Lexer(sys.argv[1]) with open(sys.argv[1]) as f: while True: c = f.read(1)\",\n \"main.py file\\\") else: lex = Lexer(sys.argv[1]) with open(sys.argv[1]) as f: while True: c\",\n \"import * import sys if len(sys.argv) != 2: print(\\\"usage: main.py file\\\") else: lex\",\n \"lexer import * import sys if len(sys.argv) != 2: print(\\\"usage: main.py file\\\") else:\",\n \"import sys if len(sys.argv) != 2: print(\\\"usage: main.py file\\\") else: lex = Lexer(sys.argv[1])\",\n \"if len(sys.argv) != 2: print(\\\"usage: main.py file\\\") else: lex = Lexer(sys.argv[1]) with open(sys.argv[1])\",\n \"from lexer import * import sys if len(sys.argv) != 2: print(\\\"usage: main.py file\\\")\",\n \"<filename>CompilerPython/LexerPython/main.py from lexer import * import sys if len(sys.argv) != 2: print(\\\"usage: main.py\",\n \"= Lexer(sys.argv[1]) with open(sys.argv[1]) as f: while True: c = f.read(1) if not\",\n \"sys if len(sys.argv) != 2: print(\\\"usage: main.py file\\\") else: lex = Lexer(sys.argv[1]) with\",\n \"print(\\\"usage: main.py file\\\") else: lex = Lexer(sys.argv[1]) with open(sys.argv[1]) as f: while True:\",\n \"!= 2: print(\\\"usage: main.py file\\\") else: lex = Lexer(sys.argv[1]) with open(sys.argv[1]) as f:\",\n \"* import sys if len(sys.argv) != 2: print(\\\"usage: main.py file\\\") else: lex =\",\n \"Lexer(sys.argv[1]) with open(sys.argv[1]) as f: while True: c = f.read(1) if not c:\",\n \"open(sys.argv[1]) as f: while True: c = f.read(1) if not c: break print(lex.scan().toString())\",\n \"len(sys.argv) != 2: print(\\\"usage: main.py file\\\") else: lex = Lexer(sys.argv[1]) with open(sys.argv[1]) as\",\n \"lex = Lexer(sys.argv[1]) with open(sys.argv[1]) as f: while True: c = f.read(1) if\",\n \"2: print(\\\"usage: main.py file\\\") else: lex = Lexer(sys.argv[1]) with open(sys.argv[1]) as f: while\",\n \"with open(sys.argv[1]) as f: while True: c = f.read(1) if not c: break\"\n]","isConversational":false}}},{"rowIdx":1287,"cells":{"ngram":{"kind":"list like","value":["email='<EMAIL>', password='<PASSWORD>' ) url = reverse('web_dep_table') request = self.client.login(username=\"test_username\", password=\"<PASSWORD>\") # Exercise test","'topic_id': self.topic.id})) request.user = self.user # Exercise test outsider_topic = Topic.objects.create(name='ms', desc=\"test test","Assert test self.assertTrue(flag) def test_return_topic_that_does_not_exist(self): # Setup test request = RequestFactory() request =","flag = False except Http404: flag = True # Assert test self.assertTrue(flag) class","self.dep.id, 990) flag = False except Http404: flag = True # Assert test","= True # Assert test self.assertTrue(flag) def test_return_topic_that_does_not_exist(self): # Setup test request =","from users.models import University, Faculty, Department, UserProfile from cms.models import Topic from cms.views","self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_post_when_no_choices(self): # Setup test","term=1) another_topic.department.add(self.dep) self.user.profile.topics.add(another_topic) request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id}))","test test\", faculty=self.fac, term=1) another_topic.department.add(self.dep) self.user.profile.topics.add(another_topic) request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id':","test_page_redirect_on_no_profile(self): # Setup test user = User.objects.create_user( username='test_username', email='<EMAIL>', password='<PASSWORD>' ) url =","outsider_topic = Topic.objects.create(name='ms', desc=\"test test test\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request,","User.objects.create(username='test_username', email='<EMAIL>', password='<PASSWORD>') self.uni = University.objects.create(name='test_university') self.fac = Faculty.objects.create(name='Test faculty') self.dep = Department.objects.create(name='Test","self.profile = UserProfile.objects.create(university=self.uni, faculty=self.fac, department=self.dep) self.topic = Topic.objects.create(name='cs', desc=\"test test test\", faculty=self.fac, term=1)","self.user.profile.topics.add(another_topic) request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user =","= reverse('web_dep_table') request = self.client.login(username=\"ssss\", password=\"<PASSWORD>\") # Exercise test request = self.client.post(url) #","import Topic from cms.views import get_topic class AccessRestriction(TestCase): def setUp(self): self.user = User.objects.create(username='test_username',","url = reverse('web_dep_table') request = self.client.login(username=\"test_username\", password=\"<PASSWORD>\") # Exercise test request = self.client.get(url)","test_page_load_on_get(self): # Setup test url = reverse('web_user_table') request = self.client.login(username=\"ssss\", password=\"<PASSWORD>\") # Exercise","request.user = self.user # Exercise test try: response = get_topic(request, self.dep.id, 990) flag","another_dep.id, self.topic.id) flag = False except Http404: flag = True # Assert test","= request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test try:","get_topic(request) flag = False except Http404: flag = True # Assert test self.assertTrue(flag)","url = reverse('web_dep_table') request = self.client.login(username=\"ssss\", password=\"<PASSWORD>\") # Exercise test request = self.client.post(url)","= False except Http404: flag = True # Assert test self.assertTrue(flag) def test_return_topic_that_outside_user_topics(self):","= Topic.objects.create(name='topic name', desc='ddddd', term=1) self.topic.department.add(self.dep) def test_page_load_on_get(self): # Setup test url =","= User.objects.create(username='test_username', email='<EMAIL>', password='<PASSWORD>') self.uni = University.objects.create(name='test_university') self.fac = Faculty.objects.create(name='Test faculty') self.dep =","= self.client.login(username=\"ssss\", password=\"<PASSWORD>\") # Exercise test request = self.client.post(url) # Assert test self.assertEqual(302,","= Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) self.profile = UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) def test_page_load_on_get(self): #","password=\"<PASSWORD>\") # Exercise test request = self.client.post(url, data=data) # Assert test self.assertEqual(302, request.status_code)","password='<PASSWORD>') request = self.client.login(username=\"xxxss\", password=\"<PASSWORD>\") # Exercise test request = self.client.get(url) # Assert","test_post_when_no_choices(self): # Setup test url = reverse('web_user_table') data = {} request = self.client.login(username=\"xxxss\",","test test\", faculty=self.fac, term=1) self.topic.department.add(self.dep) self.user.profile = self.profile self.profile.topics.add(self.topic) def test_return_topic_that_match_user(self): # Setup","test self.assertTrue(flag) def test_return_topic_that_does_not_exist(self): # Setup test request = RequestFactory() request = request.get(reverse('get_topic',","= self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_page_load_if_no_profile(self): # Setup","# Exercise test another_dep = Department.objects.create() try: response = get_topic(request, another_dep.id, self.topic.id) flag","Topic from cms.views import get_topic class AccessRestriction(TestCase): def setUp(self): self.user = User.objects.create(username='test_username', email='<EMAIL>',","= request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test another_dep","= request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test response","'topic_id': self.topic.id})) request.user = self.user # Exercise test another_dep = Department.objects.create() try: response","test response = get_topic(request, self.dep.id, self.topic.id) # Assert test self.assertEqual(200, response.status_code) def test_return_topic_that_has_different_department(self):","self.client.login(username=\"ssss\", password=\"<PASSWORD>\") # Exercise test request = self.client.post(url) # Assert test self.assertEqual(302, request.status_code)","# Assert test self.assertEqual(302, request.status_code) def test_page_redirect_on_no_profile(self): # Setup test user = User.objects.create_user(","import University, Faculty, Department, UserProfile from cms.models import Topic from cms.views import get_topic","= self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_post_when_no_choices(self): # Setup","get_topic(request, self.dep.id, self.topic.id) # Assert test self.assertEqual(200, response.status_code) def test_return_topic_that_has_different_department(self): # Setup test","request = self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/table_main.html') def test_page_redirect_on_post(self): #","django.core.urlresolvers import resolve from django.urls import reverse from django.test import TestCase, RequestFactory from","from django.core.urlresolvers import resolve from django.urls import reverse from django.test import TestCase, RequestFactory","User from unittest import skip from users.models import University, Faculty, Department, UserProfile from","# Exercise test outsider_topic = Topic.objects.create(name='ms', desc=\"test test test\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try:","Assert test self.assertTrue(flag) def test_get_topic_with_no_parameters(self): # Setup test another_topic = Topic.objects.create(name='is', desc=\"test test","Http404 from django.contrib.auth.models import User from unittest import skip from users.models import University,","setUp(self): self.user = User.objects.create(username='test_username', email='<EMAIL>', password='<PASSWORD>') self.uni = University.objects.create(name='test_university') self.fac = Faculty.objects.create(name='Test faculty')","# Exercise test request = self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/table_main.html')","Assert test self.assertEqual(200, response.status_code) def test_return_topic_that_has_different_department(self): # Setup test request = RequestFactory() request","password=\"<PASSWORD>\") # Exercise test request = self.client.post(url) # Assert test self.assertEqual(302, request.status_code) def","990) flag = False except Http404: flag = True # Assert test self.assertTrue(flag)","test self.assertEqual(302, request.status_code) class UserTableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac","test self.assertTrue(flag) def test_get_topic_with_no_parameters(self): # Setup test another_topic = Topic.objects.create(name='is', desc=\"test test test\",","test request = self.client.post(url) # Assert test self.assertEqual(302, request.status_code) def test_page_redirect_on_no_profile(self): # Setup","Setup test another_topic = Topic.objects.create(name='is', desc=\"test test test\", faculty=self.fac, term=1) another_topic.department.add(self.dep) self.user.profile.topics.add(another_topic) request","# Assert test self.assertTrue(flag) class TableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>')","self.user # Exercise test outsider_topic = Topic.objects.create(name='ms', desc=\"test test test\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep)","self.topic = Topic.objects.create(name='cs', desc=\"test test test\", faculty=self.fac, term=1) self.topic.department.add(self.dep) self.user.profile = self.profile self.profile.topics.add(self.topic)","self.dep = Department.objects.create(faculty=self.fac) self.profile = UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) def test_page_load_on_get(self): # Setup test","desc=\"test test test\", faculty=self.fac, term=1) self.topic.department.add(self.dep) self.user.profile = self.profile self.profile.topics.add(self.topic) def test_return_topic_that_match_user(self): #","= self.client.get(url) # Assert test self.assertEqual(302, request.status_code) class UserTableViews(TestCase): def setUp(self): self.user =","False except Http404: flag = True # Assert test self.assertTrue(flag) def test_return_topic_that_does_not_exist(self): #","faculty') self.dep = Department.objects.create(name='Test dep') self.profile = UserProfile.objects.create(university=self.uni, faculty=self.fac, department=self.dep) self.topic = Topic.objects.create(name='cs',","Topic.objects.create(name='ms', desc=\"test test test\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request, self.dep.id, outsider_topic.id)","test\", faculty=self.fac, term=1) another_topic.department.add(self.dep) self.user.profile.topics.add(another_topic) request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id,","department=self.dep, faculty=self.fac) def test_page_load_on_get(self): # Setup test url = reverse('web_dep_table') request = self.client.login(username=\"ssss\",","def test_page_load_on_get(self): # Setup test url = reverse('web_dep_table') request = self.client.login(username=\"ssss\", password=\"<PASSWORD>\") #","= get_topic(request, another_dep.id, self.topic.id) flag = False except Http404: flag = True #","response = get_topic(request, self.dep.id, self.topic.id) # Assert test self.assertEqual(200, response.status_code) def test_return_topic_that_has_different_department(self): #","# Setup test url = reverse('web_user_table') data = {} request = self.client.login(username=\"xxxss\", password=\"<PASSWORD>\")","# Setup test url = reverse('web_user_table') request = self.client.login(username=\"ssss\", password=\"<PASSWORD>\") # Exercise test","Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_page_load_if_no_profile(self): # Setup test url =","test_return_topic_that_outside_user_topics(self): # Setup test another_topic = Topic.objects.create(name='is', desc=\"test test test\", faculty=self.fac, term=1) another_topic.department.add(self.dep)","User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) self.topic","Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/table_main.html') def test_page_redirect_on_post(self): # Setup test url =","request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_post_when_no_choices(self): # Setup test url = reverse('web_user_table') data =","test try: response = get_topic(request, self.dep.id, 990) flag = False except Http404: flag","= self.client.login(username=\"test_username\", password=\"<PASSWORD>\") # Exercise test request = self.client.get(url) # Assert test self.assertEqual(302,","self.dep = Department.objects.create(faculty=self.fac) UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) self.topic = Topic.objects.create(name='topic name', desc='ddddd', term=1) self.topic.department.add(self.dep)","django.contrib.auth.models import User from unittest import skip from users.models import University, Faculty, Department,","self.topic.id) flag = False except Http404: flag = True # Assert test self.assertTrue(flag)","outsider_topic.id) flag = False except Http404: flag = True # Assert test self.assertTrue(flag)","Department.objects.create() try: response = get_topic(request, another_dep.id, self.topic.id) flag = False except Http404: flag","url = reverse('web_dep_table') request = self.client.login(username=\"ssss\", password=\"<PASSWORD>\") # Exercise test request = self.client.get(url)","request = self.client.login(username=\"ssss\", password=\"<PASSWORD>\") # Exercise test request = self.client.get(url) # Assert test","from django.urls import reverse from django.test import TestCase, RequestFactory from django.http import HttpRequest,","outsider_topic.department.add(self.dep) try: response = get_topic(request) flag = False except Http404: flag = True","test_page_load_on_get(self): # Setup test url = reverse('web_dep_table') request = self.client.login(username=\"ssss\", password=\"<PASSWORD>\") # Exercise","'tables/user_table.html') def test_post_when_no_choices(self): # Setup test url = reverse('web_user_table') data = {} request","self.assertTrue(flag) def test_return_topic_that_does_not_exist(self): # Setup test request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id':","request = self.client.login(username=\"ssss\", password=\"<PASSWORD>\") # Exercise test request = self.client.post(url) # Assert test","Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) self.profile = UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) def test_page_load_on_get(self): # Setup","desc=\"test test test\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request) flag = False","another_user = User.objects.create_user(username='xxxss', email='<EMAIL>', password='<PASSWORD>') request = self.client.login(username=\"xxxss\", password=\"<PASSWORD>\") # Exercise test request","get_topic class AccessRestriction(TestCase): def setUp(self): self.user = User.objects.create(username='test_username', email='<EMAIL>', password='<PASSWORD>') self.uni = University.objects.create(name='test_university')","reverse('web_dep_table') request = self.client.login(username=\"ssss\", password=\"<PASSWORD>\") # Exercise test request = self.client.post(url) # Assert","import resolve from django.urls import reverse from django.test import TestCase, RequestFactory from django.http","self.assertTrue(flag) def test_return_topic_that_outside_user_topics(self): # Setup test another_topic = Topic.objects.create(name='is', desc=\"test test test\", faculty=self.fac,","kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test outsider_topic = Topic.objects.create(name='ms',","response.status_code) def test_return_topic_that_has_different_department(self): # Setup test request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id':","# Setup test user = User.objects.create_user( username='test_username', email='<EMAIL>', password='<PASSWORD>' ) url = reverse('web_dep_table')","= User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) self.profile = UserProfile.objects.create(user=self.user,","Exercise test another_dep = Department.objects.create() try: response = get_topic(request, another_dep.id, self.topic.id) flag =","test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_page_load_if_no_profile(self): # Setup test url = reverse('web_user_table')","test\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request, self.dep.id, outsider_topic.id) flag = False","self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/table_main.html') def test_page_redirect_on_post(self): # Setup test","= Department.objects.create(faculty=self.fac) self.profile = UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) def test_page_load_on_get(self): # Setup test url","Setup test url = reverse('web_user_table') another_user = User.objects.create_user(username='xxxss', email='<EMAIL>', password='<PASSWORD>') request = self.client.login(username=\"xxxss\",","faculty=self.fac, department=self.dep) self.topic = Topic.objects.create(name='cs', desc=\"test test test\", faculty=self.fac, term=1) self.topic.department.add(self.dep) self.user.profile =","= reverse('web_user_table') data = {} request = self.client.login(username=\"xxxss\", password=\"<PASSWORD>\") # Exercise test request","request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test response =","# Exercise test response = get_topic(request, self.dep.id, self.topic.id) # Assert test self.assertEqual(200, response.status_code)","flag = False except Http404: flag = True # Assert test self.assertTrue(flag) def","response = get_topic(request, another_dep.id, self.topic.id) flag = False except Http404: flag = True","Exercise test response = get_topic(request, self.dep.id, self.topic.id) # Assert test self.assertEqual(200, response.status_code) def","self.topic.department.add(self.dep) def test_page_load_on_get(self): # Setup test url = reverse('web_user_table') request = self.client.login(username=\"ssss\", password=\"<PASSWORD>\")","= User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac)","flag = True # Assert test self.assertTrue(flag) def test_return_topic_that_outside_user_topics(self): # Setup test another_topic","= reverse('web_dep_table') request = self.client.login(username=\"test_username\", password=\"<PASSWORD>\") # Exercise test request = self.client.get(url) #","def test_return_topic_that_match_user(self): # Setup test request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id,","password='<PASSWORD>' ) url = reverse('web_dep_table') request = self.client.login(username=\"test_username\", password=\"<PASSWORD>\") # Exercise test request","unittest import skip from users.models import University, Faculty, Department, UserProfile from cms.models import","reverse from django.test import TestCase, RequestFactory from django.http import HttpRequest, Http404 from django.contrib.auth.models","url = reverse('web_user_table') another_user = User.objects.create_user(username='xxxss', email='<EMAIL>', password='<PASSWORD>') request = self.client.login(username=\"xxxss\", password=\"<PASSWORD>\") #","UserTableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep =","url = reverse('web_user_table') data = {} request = self.client.login(username=\"xxxss\", password=\"<PASSWORD>\") # Exercise test","Department.objects.create(faculty=self.fac) UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) self.topic = Topic.objects.create(name='topic name', desc='ddddd', term=1) self.topic.department.add(self.dep) def test_page_load_on_get(self):","dep') self.profile = UserProfile.objects.create(university=self.uni, faculty=self.fac, department=self.dep) self.topic = Topic.objects.create(name='cs', desc=\"test test test\", faculty=self.fac,","Topic.objects.create(name='is', desc=\"test test test\", faculty=self.fac, term=1) another_topic.department.add(self.dep) self.user.profile.topics.add(another_topic) request = RequestFactory() request =","= self.client.post(url) # Assert test self.assertEqual(302, request.status_code) def test_page_redirect_on_no_profile(self): # Setup test user","kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test response = get_topic(request,","email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) self.profile = UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac)","name', desc='ddddd', term=1) self.topic.department.add(self.dep) def test_page_load_on_get(self): # Setup test url = reverse('web_user_table') request","self.topic.department.add(self.dep) self.user.profile = self.profile self.profile.topics.add(self.topic) def test_return_topic_that_match_user(self): # Setup test request = RequestFactory()","test_return_topic_that_does_not_exist(self): # Setup test request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id':","'tables/table_main.html') def test_page_redirect_on_post(self): # Setup test url = reverse('web_dep_table') request = self.client.login(username=\"ssss\", password=\"<PASSWORD>\")","cms.models import Topic from cms.views import get_topic class AccessRestriction(TestCase): def setUp(self): self.user =","from unittest import skip from users.models import University, Faculty, Department, UserProfile from cms.models","= User.objects.create_user(username='xxxss', email='<EMAIL>', password='<PASSWORD>') request = self.client.login(username=\"xxxss\", password=\"<PASSWORD>\") # Exercise test request =","django.test import TestCase, RequestFactory from django.http import HttpRequest, Http404 from django.contrib.auth.models import User","# Assert test self.assertEqual(200, response.status_code) def test_return_topic_that_has_different_department(self): # Setup test request = RequestFactory()","# Exercise test request = self.client.post(url) # Assert test self.assertEqual(302, request.status_code) def test_page_redirect_on_no_profile(self):","request = self.client.post(url) # Assert test self.assertEqual(302, request.status_code) def test_page_redirect_on_no_profile(self): # Setup test","test_return_topic_that_match_user(self): # Setup test request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id':","Http404: flag = True # Assert test self.assertTrue(flag) class TableViews(TestCase): def setUp(self): self.user","# Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/table_main.html') def test_page_redirect_on_post(self): # Setup test url","Exercise test request = self.client.post(url) # Assert test self.assertEqual(302, request.status_code) def test_page_redirect_on_no_profile(self): #","response = get_topic(request) flag = False except Http404: flag = True # Assert","kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test try: response =","password='<PASSWORD>') self.uni = University.objects.create(name='test_university') self.fac = Faculty.objects.create(name='Test faculty') self.dep = Department.objects.create(name='Test dep') self.profile","= self.client.login(username=\"xxxss\", password=\"<PASSWORD>\") # Exercise test request = self.client.post(url, data=data) # Assert test","self.topic.id})) request.user = self.user # Exercise test response = get_topic(request, self.dep.id, self.topic.id) #","# Exercise test request = self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html')","skip from users.models import University, Faculty, Department, UserProfile from cms.models import Topic from","test url = reverse('web_dep_table') request = self.client.login(username=\"ssss\", password=\"<PASSWORD>\") # Exercise test request =","self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/table_main.html') def test_page_redirect_on_post(self): # Setup test url = reverse('web_dep_table') request","email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) self.topic =","request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test another_dep =","= Topic.objects.create(name='is', desc=\"test test test\", faculty=self.fac, term=1) another_topic.department.add(self.dep) self.user.profile.topics.add(another_topic) request = RequestFactory() request","Exercise test request = self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def","test_get_topic_with_no_parameters(self): # Setup test another_topic = Topic.objects.create(name='is', desc=\"test test test\", faculty=self.fac, term=1) another_topic.department.add(self.dep)","except Http404: flag = True # Assert test self.assertTrue(flag) def test_get_topic_with_no_parameters(self): # Setup","import skip from users.models import University, Faculty, Department, UserProfile from cms.models import Topic","Faculty.objects.create(name='Test faculty') self.dep = Department.objects.create(name='Test dep') self.profile = UserProfile.objects.create(university=self.uni, faculty=self.fac, department=self.dep) self.topic =","Topic.objects.create(name='cs', desc=\"test test test\", faculty=self.fac, term=1) self.topic.department.add(self.dep) self.user.profile = self.profile self.profile.topics.add(self.topic) def test_return_topic_that_match_user(self):","test self.assertTrue(flag) def test_return_topic_that_outside_user_topics(self): # Setup test another_topic = Topic.objects.create(name='is', desc=\"test test test\",","self.client.login(username=\"ssss\", password=\"<PASSWORD>\") # Exercise test request = self.client.get(url) # Assert test self.assertEqual(200, request.status_code)","# Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_post_when_no_choices(self): # Setup test url","= request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test outsider_topic","= Topic.objects.create(name='ms', desc=\"test test test\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request, self.dep.id,","another_topic = Topic.objects.create(name='is', desc=\"test test test\", faculty=self.fac, term=1) another_topic.department.add(self.dep) self.user.profile.topics.add(another_topic) request = RequestFactory()","self.profile self.profile.topics.add(self.topic) def test_return_topic_that_match_user(self): # Setup test request = RequestFactory() request = request.get(reverse('get_topic',","request.status_code) self.assertTemplateUsed(request, 'tables/table_main.html') def test_page_redirect_on_post(self): # Setup test url = reverse('web_dep_table') request =","username='test_username', email='<EMAIL>', password='<PASSWORD>' ) url = reverse('web_dep_table') request = self.client.login(username=\"test_username\", password=\"<PASSWORD>\") # Exercise","self.assertEqual(302, request.status_code) def test_page_redirect_on_no_profile(self): # Setup test user = User.objects.create_user( username='test_username', email='<EMAIL>', password='<PASSWORD>'","self.uni = University.objects.create(name='test_university') self.fac = Faculty.objects.create(name='Test faculty') self.dep = Department.objects.create(name='Test dep') self.profile =","self.client.login(username=\"xxxss\", password=\"<PASSWORD>\") # Exercise test request = self.client.get(url) # Assert test self.assertEqual(200, request.status_code)","test test\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request) flag = False except","self.client.login(username=\"test_username\", password=\"<PASSWORD>\") # Exercise test request = self.client.get(url) # Assert test self.assertEqual(302, request.status_code)","data = {} request = self.client.login(username=\"xxxss\", password=\"<PASSWORD>\") # Exercise test request = self.client.post(url,","import HttpRequest, Http404 from django.contrib.auth.models import User from unittest import skip from users.models","outsider_topic.department.add(self.dep) try: response = get_topic(request, self.dep.id, outsider_topic.id) flag = False except Http404: flag","= get_topic(request, self.dep.id, self.topic.id) # Assert test self.assertEqual(200, response.status_code) def test_return_topic_that_has_different_department(self): # Setup","from django.test import TestCase, RequestFactory from django.http import HttpRequest, Http404 from django.contrib.auth.models import","self.user = User.objects.create(username='test_username', email='<EMAIL>', password='<PASSWORD>') self.uni = University.objects.create(name='test_university') self.fac = Faculty.objects.create(name='Test faculty') self.dep","test self.assertTrue(flag) class TableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac =","term=1) self.topic.department.add(self.dep) self.user.profile = self.profile self.profile.topics.add(self.topic) def test_return_topic_that_match_user(self): # Setup test request =","request.status_code) class UserTableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create()",") url = reverse('web_dep_table') request = self.client.login(username=\"test_username\", password=\"<PASSWORD>\") # Exercise test request =","University, Faculty, Department, UserProfile from cms.models import Topic from cms.views import get_topic class","outsider_topic = Topic.objects.create(name='ms', desc=\"test test test\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request)","self.assertTemplateUsed(request, 'tables/user_table.html') def test_post_when_no_choices(self): # Setup test url = reverse('web_user_table') data = {}","Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_post_when_no_choices(self): # Setup test url =","self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) UserProfile.objects.create(user=self.user, department=self.dep,","True # Assert test self.assertTrue(flag) def test_get_topic_with_no_parameters(self): # Setup test another_topic = Topic.objects.create(name='is',","User.objects.create_user( username='test_username', email='<EMAIL>', password='<PASSWORD>' ) url = reverse('web_dep_table') request = self.client.login(username=\"test_username\", password=\"<PASSWORD>\") #","request = self.client.login(username=\"xxxss\", password=\"<PASSWORD>\") # Exercise test request = self.client.post(url, data=data) # Assert","= Department.objects.create(faculty=self.fac) UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) self.topic = Topic.objects.create(name='topic name', desc='ddddd', term=1) self.topic.department.add(self.dep) def","kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test another_dep = Department.objects.create()","def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac)","= self.user # Exercise test response = get_topic(request, self.dep.id, self.topic.id) # Assert test","test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_post_when_no_choices(self): # Setup test url = reverse('web_user_table')","term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request, self.dep.id, outsider_topic.id) flag = False except Http404:","= Topic.objects.create(name='cs', desc=\"test test test\", faculty=self.fac, term=1) self.topic.department.add(self.dep) self.user.profile = self.profile self.profile.topics.add(self.topic) def","password=\"<PASSWORD>\") # Exercise test request = self.client.get(url) # Assert test self.assertEqual(302, request.status_code) class","Department.objects.create(faculty=self.fac) self.profile = UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) def test_page_load_on_get(self): # Setup test url =","# Assert test self.assertEqual(302, request.status_code) class UserTableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>',","= self.user # Exercise test outsider_topic = Topic.objects.create(name='ms', desc=\"test test test\", faculty=self.fac, term=1)","self.user # Exercise test try: response = get_topic(request, self.dep.id, 990) flag = False","UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) self.topic = Topic.objects.create(name='topic name', desc='ddddd', term=1) self.topic.department.add(self.dep) def test_page_load_on_get(self): #","test user = User.objects.create_user( username='test_username', email='<EMAIL>', password='<PASSWORD>' ) url = reverse('web_dep_table') request =","User.objects.create_user(username='xxxss', email='<EMAIL>', password='<PASSWORD>') request = self.client.login(username=\"xxxss\", password=\"<PASSWORD>\") # Exercise test request = self.client.get(url)","from cms.models import Topic from cms.views import get_topic class AccessRestriction(TestCase): def setUp(self): self.user","department=self.dep) self.topic = Topic.objects.create(name='cs', desc=\"test test test\", faculty=self.fac, term=1) self.topic.department.add(self.dep) self.user.profile = self.profile","self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test another_dep = Department.objects.create() try:","except Http404: flag = True # Assert test self.assertTrue(flag) def test_return_topic_that_outside_user_topics(self): # Setup","Setup test request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user","faculty=self.fac, term=1) self.topic.department.add(self.dep) self.user.profile = self.profile self.profile.topics.add(self.topic) def test_return_topic_that_match_user(self): # Setup test request","# Assert test self.assertTrue(flag) def test_return_topic_that_outside_user_topics(self): # Setup test another_topic = Topic.objects.create(name='is', desc=\"test","def test_page_load_if_no_profile(self): # Setup test url = reverse('web_user_table') another_user = User.objects.create_user(username='xxxss', email='<EMAIL>', password='<PASSWORD>')","Setup test user = User.objects.create_user( username='test_username', email='<EMAIL>', password='<PASSWORD>' ) url = reverse('web_dep_table') request","self.dep.id, outsider_topic.id) flag = False except Http404: flag = True # Assert test","self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_page_load_if_no_profile(self): # Setup test url = reverse('web_user_table') another_user","self.assertEqual(200, response.status_code) def test_return_topic_that_has_different_department(self): # Setup test request = RequestFactory() request = request.get(reverse('get_topic',","test request = self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/table_main.html') def test_page_redirect_on_post(self):","self.profile.topics.add(self.topic) def test_return_topic_that_match_user(self): # Setup test request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id':","test url = reverse('web_user_table') another_user = User.objects.create_user(username='xxxss', email='<EMAIL>', password='<PASSWORD>') request = self.client.login(username=\"xxxss\", password=\"<PASSWORD>\")","request = self.client.login(username=\"test_username\", password=\"<PASSWORD>\") # Exercise test request = self.client.get(url) # Assert test","request.user = self.user # Exercise test outsider_topic = Topic.objects.create(name='ms', desc=\"test test test\", faculty=self.fac,","get_topic(request, self.dep.id, 990) flag = False except Http404: flag = True # Assert","= True # Assert test self.assertTrue(flag) def test_return_topic_that_outside_user_topics(self): # Setup test another_topic =","import User from unittest import skip from users.models import University, Faculty, Department, UserProfile","django.urls import reverse from django.test import TestCase, RequestFactory from django.http import HttpRequest, Http404","request = self.client.get(url) # Assert test self.assertEqual(302, request.status_code) class UserTableViews(TestCase): def setUp(self): self.user","import TestCase, RequestFactory from django.http import HttpRequest, Http404 from django.contrib.auth.models import User from","try: response = get_topic(request, self.dep.id, outsider_topic.id) flag = False except Http404: flag =","= Department.objects.create(name='Test dep') self.profile = UserProfile.objects.create(university=self.uni, faculty=self.fac, department=self.dep) self.topic = Topic.objects.create(name='cs', desc=\"test test","try: response = get_topic(request, self.dep.id, 990) flag = False except Http404: flag =","= Faculty.objects.create(name='Test faculty') self.dep = Department.objects.create(name='Test dep') self.profile = UserProfile.objects.create(university=self.uni, faculty=self.fac, department=self.dep) self.topic","test_return_topic_that_has_different_department(self): # Setup test request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id':","True # Assert test self.assertTrue(flag) def test_return_topic_that_outside_user_topics(self): # Setup test another_topic = Topic.objects.create(name='is',","= UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) def test_page_load_on_get(self): # Setup test url = reverse('web_dep_table') request","user = User.objects.create_user( username='test_username', email='<EMAIL>', password='<PASSWORD>' ) url = reverse('web_dep_table') request = self.client.login(username=\"test_username\",","faculty=self.fac, term=1) another_topic.department.add(self.dep) self.user.profile.topics.add(another_topic) request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id':","desc='ddddd', term=1) self.topic.department.add(self.dep) def test_page_load_on_get(self): # Setup test url = reverse('web_user_table') request =","'topic_id': self.topic.id})) request.user = self.user # Exercise test try: response = get_topic(request, self.dep.id,","password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) self.profile = UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) def","password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) self.topic = Topic.objects.create(name='topic","University.objects.create(name='test_university') self.fac = Faculty.objects.create(name='Test faculty') self.dep = Department.objects.create(name='Test dep') self.profile = UserProfile.objects.create(university=self.uni, faculty=self.fac,","= False except Http404: flag = True # Assert test self.assertTrue(flag) def test_return_topic_that_does_not_exist(self):","request = self.client.login(username=\"xxxss\", password=\"<PASSWORD>\") # Exercise test request = self.client.get(url) # Assert test","test_page_load_if_no_profile(self): # Setup test url = reverse('web_user_table') another_user = User.objects.create_user(username='xxxss', email='<EMAIL>', password='<PASSWORD>') request","= reverse('web_user_table') request = self.client.login(username=\"ssss\", password=\"<PASSWORD>\") # Exercise test request = self.client.get(url) #","UserProfile.objects.create(university=self.uni, faculty=self.fac, department=self.dep) self.topic = Topic.objects.create(name='cs', desc=\"test test test\", faculty=self.fac, term=1) self.topic.department.add(self.dep) self.user.profile","test\", faculty=self.fac, term=1) self.topic.department.add(self.dep) self.user.profile = self.profile self.profile.topics.add(self.topic) def test_return_topic_that_match_user(self): # Setup test","Exercise test try: response = get_topic(request, self.dep.id, 990) flag = False except Http404:","except Http404: flag = True # Assert test self.assertTrue(flag) class TableViews(TestCase): def setUp(self):","self.user # Exercise test response = get_topic(request, self.dep.id, self.topic.id) # Assert test self.assertEqual(200,","def setUp(self): self.user = User.objects.create(username='test_username', email='<EMAIL>', password='<PASSWORD>') self.uni = University.objects.create(name='test_university') self.fac = Faculty.objects.create(name='Test","setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) self.profile","Http404: flag = True # Assert test self.assertTrue(flag) def test_get_topic_with_no_parameters(self): # Setup test","False except Http404: flag = True # Assert test self.assertTrue(flag) class TableViews(TestCase): def","flag = True # Assert test self.assertTrue(flag) def test_get_topic_with_no_parameters(self): # Setup test another_topic","False except Http404: flag = True # Assert test self.assertTrue(flag) def test_get_topic_with_no_parameters(self): #","self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) self.profile = UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) def test_page_load_on_get(self):","from django.contrib.auth.models import User from unittest import skip from users.models import University, Faculty,","test url = reverse('web_user_table') data = {} request = self.client.login(username=\"xxxss\", password=\"<PASSWORD>\") # Exercise","self.topic.id) # Assert test self.assertEqual(200, response.status_code) def test_return_topic_that_has_different_department(self): # Setup test request =","'topic_id': self.topic.id})) request.user = self.user # Exercise test response = get_topic(request, self.dep.id, self.topic.id)","self.assertTrue(flag) def test_get_topic_with_no_parameters(self): # Setup test another_topic = Topic.objects.create(name='is', desc=\"test test test\", faculty=self.fac,","get_topic(request, self.dep.id, outsider_topic.id) flag = False except Http404: flag = True # Assert","False except Http404: flag = True # Assert test self.assertTrue(flag) def test_return_topic_that_outside_user_topics(self): #","request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user","Assert test self.assertTrue(flag) class TableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac","faculty=self.fac) def test_page_load_on_get(self): # Setup test url = reverse('web_dep_table') request = self.client.login(username=\"ssss\", password=\"<PASSWORD>\")","reverse('web_user_table') data = {} request = self.client.login(username=\"xxxss\", password=\"<PASSWORD>\") # Exercise test request =","request = self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_post_when_no_choices(self): #","= get_topic(request) flag = False except Http404: flag = True # Assert test","Department, UserProfile from cms.models import Topic from cms.views import get_topic class AccessRestriction(TestCase): def","test self.assertEqual(200, response.status_code) def test_return_topic_that_has_different_department(self): # Setup test request = RequestFactory() request =","self.dep = Department.objects.create(name='Test dep') self.profile = UserProfile.objects.create(university=self.uni, faculty=self.fac, department=self.dep) self.topic = Topic.objects.create(name='cs', desc=\"test","response = get_topic(request, self.dep.id, outsider_topic.id) flag = False except Http404: flag = True","# Setup test url = reverse('web_user_table') another_user = User.objects.create_user(username='xxxss', email='<EMAIL>', password='<PASSWORD>') request =","self.assertEqual(302, request.status_code) class UserTableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac =","users.models import University, Faculty, Department, UserProfile from cms.models import Topic from cms.views import","self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) self.profile =","self.assertTrue(flag) class TableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create()","# Setup test request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id}))","self.topic.id})) request.user = self.user # Exercise test try: response = get_topic(request, self.dep.id, 990)","request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test","= Topic.objects.create(name='ms', desc=\"test test test\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request) flag","self.profile = UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) def test_page_load_on_get(self): # Setup test url = reverse('web_dep_table')","# Exercise test request = self.client.get(url) # Assert test self.assertEqual(302, request.status_code) class UserTableViews(TestCase):","= reverse('web_user_table') another_user = User.objects.create_user(username='xxxss', email='<EMAIL>', password='<PASSWORD>') request = self.client.login(username=\"xxxss\", password=\"<PASSWORD>\") # Exercise","test url = reverse('web_user_table') request = self.client.login(username=\"ssss\", password=\"<PASSWORD>\") # Exercise test request =","# Assert test self.assertTrue(flag) def test_return_topic_that_does_not_exist(self): # Setup test request = RequestFactory() request","self.topic = Topic.objects.create(name='topic name', desc='ddddd', term=1) self.topic.department.add(self.dep) def test_page_load_on_get(self): # Setup test url","from django.http import HttpRequest, Http404 from django.contrib.auth.models import User from unittest import skip","self.fac = Faculty.objects.create(name='Test faculty') self.dep = Department.objects.create(name='Test dep') self.profile = UserProfile.objects.create(university=self.uni, faculty=self.fac, department=self.dep)","term=1) self.topic.department.add(self.dep) def test_page_load_on_get(self): # Setup test url = reverse('web_user_table') request = self.client.login(username=\"ssss\",","request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_page_load_if_no_profile(self): # Setup test url = reverse('web_user_table') another_user =","def test_get_topic_with_no_parameters(self): # Setup test another_topic = Topic.objects.create(name='is', desc=\"test test test\", faculty=self.fac, term=1)","self.client.get(url) # Assert test self.assertEqual(302, request.status_code) class UserTableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss',","django.http import HttpRequest, Http404 from django.contrib.auth.models import User from unittest import skip from","reverse('web_user_table') another_user = User.objects.create_user(username='xxxss', email='<EMAIL>', password='<PASSWORD>') request = self.client.login(username=\"xxxss\", password=\"<PASSWORD>\") # Exercise test","faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request, self.dep.id, outsider_topic.id) flag = False except","self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_page_load_if_no_profile(self): # Setup test","test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/table_main.html') def test_page_redirect_on_post(self): # Setup test url = reverse('web_dep_table')","self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test try: response = get_topic(request,","self.assertTemplateUsed(request, 'tables/user_table.html') def test_page_load_if_no_profile(self): # Setup test url = reverse('web_user_table') another_user = User.objects.create_user(username='xxxss',","test request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user =","self.assertTemplateUsed(request, 'tables/table_main.html') def test_page_redirect_on_post(self): # Setup test url = reverse('web_dep_table') request = self.client.login(username=\"ssss\",","class TableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep","= self.user # Exercise test try: response = get_topic(request, self.dep.id, 990) flag =","True # Assert test self.assertTrue(flag) class TableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>',","self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test response = get_topic(request, self.dep.id,","= Department.objects.create() try: response = get_topic(request, another_dep.id, self.topic.id) flag = False except Http404:","test request = self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_page_load_if_no_profile(self):","Topic.objects.create(name='topic name', desc='ddddd', term=1) self.topic.department.add(self.dep) def test_page_load_on_get(self): # Setup test url = reverse('web_user_table')","Assert test self.assertEqual(302, request.status_code) def test_page_redirect_on_no_profile(self): # Setup test user = User.objects.create_user( username='test_username',","cms.views import get_topic class AccessRestriction(TestCase): def setUp(self): self.user = User.objects.create(username='test_username', email='<EMAIL>', password='<PASSWORD>') self.uni","get_topic(request, another_dep.id, self.topic.id) flag = False except Http404: flag = True # Assert","test test\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request, self.dep.id, outsider_topic.id) flag =","try: response = get_topic(request) flag = False except Http404: flag = True #","def test_page_load_on_get(self): # Setup test url = reverse('web_user_table') request = self.client.login(username=\"ssss\", password=\"<PASSWORD>\") #","= True # Assert test self.assertTrue(flag) def test_get_topic_with_no_parameters(self): # Setup test another_topic =","email='<EMAIL>', password='<PASSWORD>') request = self.client.login(username=\"xxxss\", password=\"<PASSWORD>\") # Exercise test request = self.client.get(url) #","= self.client.login(username=\"xxxss\", password=\"<PASSWORD>\") # Exercise test request = self.client.get(url) # Assert test self.assertEqual(200,","self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_post_when_no_choices(self): # Setup test url = reverse('web_user_table') data","UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) def test_page_load_on_get(self): # Setup test url = reverse('web_dep_table') request =","True # Assert test self.assertTrue(flag) def test_return_topic_that_does_not_exist(self): # Setup test request = RequestFactory()","RequestFactory from django.http import HttpRequest, Http404 from django.contrib.auth.models import User from unittest import","Exercise test outsider_topic = Topic.objects.create(name='ms', desc=\"test test test\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response","= False except Http404: flag = True # Assert test self.assertTrue(flag) class TableViews(TestCase):","def test_return_topic_that_outside_user_topics(self): # Setup test another_topic = Topic.objects.create(name='is', desc=\"test test test\", faculty=self.fac, term=1)","self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test outsider_topic = Topic.objects.create(name='ms', desc=\"test","resolve from django.urls import reverse from django.test import TestCase, RequestFactory from django.http import","= self.profile self.profile.topics.add(self.topic) def test_return_topic_that_match_user(self): # Setup test request = RequestFactory() request =","except Http404: flag = True # Assert test self.assertTrue(flag) def test_return_topic_that_does_not_exist(self): # Setup","term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request) flag = False except Http404: flag =","User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) self.profile = UserProfile.objects.create(user=self.user, department=self.dep,","import get_topic class AccessRestriction(TestCase): def setUp(self): self.user = User.objects.create(username='test_username', email='<EMAIL>', password='<PASSWORD>') self.uni =","test another_topic = Topic.objects.create(name='is', desc=\"test test test\", faculty=self.fac, term=1) another_topic.department.add(self.dep) self.user.profile.topics.add(another_topic) request =","self.dep.id, self.topic.id) # Assert test self.assertEqual(200, response.status_code) def test_return_topic_that_has_different_department(self): # Setup test request","request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test try: response","from cms.views import get_topic class AccessRestriction(TestCase): def setUp(self): self.user = User.objects.create(username='test_username', email='<EMAIL>', password='<PASSWORD>')","Department.objects.create(name='Test dep') self.profile = UserProfile.objects.create(university=self.uni, faculty=self.fac, department=self.dep) self.topic = Topic.objects.create(name='cs', desc=\"test test test\",","Setup test url = reverse('web_user_table') data = {} request = self.client.login(username=\"xxxss\", password=\"<PASSWORD>\") #","<reponame>Ibrahem3amer/bala7<filename>cms/tests/test_views.py from django.core.urlresolvers import resolve from django.urls import reverse from django.test import TestCase,","another_dep = Department.objects.create() try: response = get_topic(request, another_dep.id, self.topic.id) flag = False except","= True # Assert test self.assertTrue(flag) class TableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss',","Http404: flag = True # Assert test self.assertTrue(flag) def test_return_topic_that_outside_user_topics(self): # Setup test","def test_page_redirect_on_no_profile(self): # Setup test user = User.objects.create_user( username='test_username', email='<EMAIL>', password='<PASSWORD>' ) url","import reverse from django.test import TestCase, RequestFactory from django.http import HttpRequest, Http404 from","= User.objects.create_user( username='test_username', email='<EMAIL>', password='<PASSWORD>' ) url = reverse('web_dep_table') request = self.client.login(username=\"test_username\", password=\"<PASSWORD>\")","Faculty, Department, UserProfile from cms.models import Topic from cms.views import get_topic class AccessRestriction(TestCase):","faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request) flag = False except Http404: flag","department=self.dep, faculty=self.fac) self.topic = Topic.objects.create(name='topic name', desc='ddddd', term=1) self.topic.department.add(self.dep) def test_page_load_on_get(self): # Setup","= False except Http404: flag = True # Assert test self.assertTrue(flag) def test_get_topic_with_no_parameters(self):","try: response = get_topic(request, another_dep.id, self.topic.id) flag = False except Http404: flag =","setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) UserProfile.objects.create(user=self.user,","Http404: flag = True # Assert test self.assertTrue(flag) def test_return_topic_that_does_not_exist(self): # Setup test","def test_post_when_no_choices(self): # Setup test url = reverse('web_user_table') data = {} request =","flag = True # Assert test self.assertTrue(flag) class TableViews(TestCase): def setUp(self): self.user =","request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test outsider_topic =","= Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) self.topic = Topic.objects.create(name='topic name', desc='ddddd',","self.topic.id})) request.user = self.user # Exercise test outsider_topic = Topic.objects.create(name='ms', desc=\"test test test\",","'tables/user_table.html') def test_page_load_if_no_profile(self): # Setup test url = reverse('web_user_table') another_user = User.objects.create_user(username='xxxss', email='<EMAIL>',","request.user = self.user # Exercise test another_dep = Department.objects.create() try: response = get_topic(request,","self.user.profile = self.profile self.profile.topics.add(self.topic) def test_return_topic_that_match_user(self): # Setup test request = RequestFactory() request","= UserProfile.objects.create(university=self.uni, faculty=self.fac, department=self.dep) self.topic = Topic.objects.create(name='cs', desc=\"test test test\", faculty=self.fac, term=1) self.topic.department.add(self.dep)","Exercise test request = self.client.get(url) # Assert test self.assertEqual(302, request.status_code) class UserTableViews(TestCase): def","= University.objects.create(name='test_university') self.fac = Faculty.objects.create(name='Test faculty') self.dep = Department.objects.create(name='Test dep') self.profile = UserProfile.objects.create(university=self.uni,","another_topic.department.add(self.dep) self.user.profile.topics.add(another_topic) request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user","# Assert test self.assertTrue(flag) def test_get_topic_with_no_parameters(self): # Setup test another_topic = Topic.objects.create(name='is', desc=\"test","# Setup test url = reverse('web_dep_table') request = self.client.login(username=\"ssss\", password=\"<PASSWORD>\") # Exercise test","test_page_redirect_on_post(self): # Setup test url = reverse('web_dep_table') request = self.client.login(username=\"ssss\", password=\"<PASSWORD>\") # Exercise","test request = self.client.get(url) # Assert test self.assertEqual(302, request.status_code) class UserTableViews(TestCase): def setUp(self):","flag = True # Assert test self.assertTrue(flag) def test_return_topic_that_does_not_exist(self): # Setup test request","= get_topic(request, self.dep.id, 990) flag = False except Http404: flag = True #","UserProfile from cms.models import Topic from cms.views import get_topic class AccessRestriction(TestCase): def setUp(self):","RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise","def test_return_topic_that_does_not_exist(self): # Setup test request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id,","{} request = self.client.login(username=\"xxxss\", password=\"<PASSWORD>\") # Exercise test request = self.client.post(url, data=data) #","# Setup test another_topic = Topic.objects.create(name='is', desc=\"test test test\", faculty=self.fac, term=1) another_topic.department.add(self.dep) self.user.profile.topics.add(another_topic)","request.user = self.user # Exercise test response = get_topic(request, self.dep.id, self.topic.id) # Assert","= self.user # Exercise test another_dep = Department.objects.create() try: response = get_topic(request, another_dep.id,","def test_page_redirect_on_post(self): # Setup test url = reverse('web_dep_table') request = self.client.login(username=\"ssss\", password=\"<PASSWORD>\") #","self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) self.topic = Topic.objects.create(name='topic name',","Topic.objects.create(name='ms', desc=\"test test test\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request) flag =","TestCase, RequestFactory from django.http import HttpRequest, Http404 from django.contrib.auth.models import User from unittest","test\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request) flag = False except Http404:","self.topic.id})) request.user = self.user # Exercise test another_dep = Department.objects.create() try: response =","self.client.login(username=\"xxxss\", password=\"<PASSWORD>\") # Exercise test request = self.client.post(url, data=data) # Assert test self.assertEqual(302,","response = get_topic(request, self.dep.id, 990) flag = False except Http404: flag = True","Setup test url = reverse('web_user_table') request = self.client.login(username=\"ssss\", password=\"<PASSWORD>\") # Exercise test request","email='<EMAIL>', password='<PASSWORD>') self.uni = University.objects.create(name='test_university') self.fac = Faculty.objects.create(name='Test faculty') self.dep = Department.objects.create(name='Test dep')","reverse('web_dep_table') request = self.client.login(username=\"ssss\", password=\"<PASSWORD>\") # Exercise test request = self.client.get(url) # Assert","faculty=self.fac) self.topic = Topic.objects.create(name='topic name', desc='ddddd', term=1) self.topic.department.add(self.dep) def test_page_load_on_get(self): # Setup test","request.status_code) def test_page_redirect_on_no_profile(self): # Setup test user = User.objects.create_user( username='test_username', email='<EMAIL>', password='<PASSWORD>' )","# Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_page_load_if_no_profile(self): # Setup test url","request = self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_page_load_if_no_profile(self): #","password=\"<PASSWORD>\") # Exercise test request = self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request,","Assert test self.assertEqual(302, request.status_code) class UserTableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>')","test another_dep = Department.objects.create() try: response = get_topic(request, another_dep.id, self.topic.id) flag = False","= self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/table_main.html') def test_page_redirect_on_post(self): # Setup","TableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep =","= reverse('web_dep_table') request = self.client.login(username=\"ssss\", password=\"<PASSWORD>\") # Exercise test request = self.client.get(url) #","class UserTableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep","# Exercise test try: response = get_topic(request, self.dep.id, 990) flag = False except","def test_return_topic_that_has_different_department(self): # Setup test request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id,","test outsider_topic = Topic.objects.create(name='ms', desc=\"test test test\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response =","class AccessRestriction(TestCase): def setUp(self): self.user = User.objects.create(username='test_username', email='<EMAIL>', password='<PASSWORD>') self.uni = University.objects.create(name='test_university') self.fac","desc=\"test test test\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request, self.dep.id, outsider_topic.id) flag","= RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user #","desc=\"test test test\", faculty=self.fac, term=1) another_topic.department.add(self.dep) self.user.profile.topics.add(another_topic) request = RequestFactory() request = request.get(reverse('get_topic',","reverse('web_user_table') request = self.client.login(username=\"ssss\", password=\"<PASSWORD>\") # Exercise test request = self.client.get(url) # Assert","test self.assertEqual(302, request.status_code) def test_page_redirect_on_no_profile(self): # Setup test user = User.objects.create_user( username='test_username', email='<EMAIL>',","= get_topic(request, self.dep.id, outsider_topic.id) flag = False except Http404: flag = True #","test request = self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_post_when_no_choices(self):","self.client.post(url) # Assert test self.assertEqual(302, request.status_code) def test_page_redirect_on_no_profile(self): # Setup test user =","= self.client.login(username=\"ssss\", password=\"<PASSWORD>\") # Exercise test request = self.client.get(url) # Assert test self.assertEqual(200,","Setup test url = reverse('web_dep_table') request = self.client.login(username=\"ssss\", password=\"<PASSWORD>\") # Exercise test request","Exercise test request = self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/table_main.html') def","Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) self.topic = Topic.objects.create(name='topic name', desc='ddddd', term=1)","HttpRequest, Http404 from django.contrib.auth.models import User from unittest import skip from users.models import","url = reverse('web_user_table') request = self.client.login(username=\"ssss\", password=\"<PASSWORD>\") # Exercise test request = self.client.get(url)","reverse('web_dep_table') request = self.client.login(username=\"test_username\", password=\"<PASSWORD>\") # Exercise test request = self.client.get(url) # Assert","Assert test self.assertTrue(flag) def test_return_topic_that_outside_user_topics(self): # Setup test another_topic = Topic.objects.create(name='is', desc=\"test test","= {} request = self.client.login(username=\"xxxss\", password=\"<PASSWORD>\") # Exercise test request = self.client.post(url, data=data)","self.user # Exercise test another_dep = Department.objects.create() try: response = get_topic(request, another_dep.id, self.topic.id)","AccessRestriction(TestCase): def setUp(self): self.user = User.objects.create(username='test_username', email='<EMAIL>', password='<PASSWORD>') self.uni = University.objects.create(name='test_university') self.fac ="],"string":"[\n \"email='<EMAIL>', password='<PASSWORD>' ) url = reverse('web_dep_table') request = self.client.login(username=\\\"test_username\\\", password=\\\"<PASSWORD>\\\") # Exercise test\",\n \"'topic_id': self.topic.id})) request.user = self.user # Exercise test outsider_topic = Topic.objects.create(name='ms', desc=\\\"test test\",\n \"Assert test self.assertTrue(flag) def test_return_topic_that_does_not_exist(self): # Setup test request = RequestFactory() request =\",\n \"flag = False except Http404: flag = True # Assert test self.assertTrue(flag) class\",\n \"self.dep.id, 990) flag = False except Http404: flag = True # Assert test\",\n \"= True # Assert test self.assertTrue(flag) def test_return_topic_that_does_not_exist(self): # Setup test request =\",\n \"from users.models import University, Faculty, Department, UserProfile from cms.models import Topic from cms.views\",\n \"self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_post_when_no_choices(self): # Setup test\",\n \"term=1) another_topic.department.add(self.dep) self.user.profile.topics.add(another_topic) request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id}))\",\n \"test test\\\", faculty=self.fac, term=1) another_topic.department.add(self.dep) self.user.profile.topics.add(another_topic) request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id':\",\n \"test_page_redirect_on_no_profile(self): # Setup test user = User.objects.create_user( username='test_username', email='<EMAIL>', password='<PASSWORD>' ) url =\",\n \"outsider_topic = Topic.objects.create(name='ms', desc=\\\"test test test\\\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request,\",\n \"User.objects.create(username='test_username', email='<EMAIL>', password='<PASSWORD>') self.uni = University.objects.create(name='test_university') self.fac = Faculty.objects.create(name='Test faculty') self.dep = Department.objects.create(name='Test\",\n \"self.profile = UserProfile.objects.create(university=self.uni, faculty=self.fac, department=self.dep) self.topic = Topic.objects.create(name='cs', desc=\\\"test test test\\\", faculty=self.fac, term=1)\",\n \"self.user.profile.topics.add(another_topic) request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user =\",\n \"= reverse('web_dep_table') request = self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.post(url) #\",\n \"import Topic from cms.views import get_topic class AccessRestriction(TestCase): def setUp(self): self.user = User.objects.create(username='test_username',\",\n \"url = reverse('web_dep_table') request = self.client.login(username=\\\"test_username\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.get(url)\",\n \"test_page_load_on_get(self): # Setup test url = reverse('web_user_table') request = self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") # Exercise\",\n \"request.user = self.user # Exercise test try: response = get_topic(request, self.dep.id, 990) flag\",\n \"another_dep.id, self.topic.id) flag = False except Http404: flag = True # Assert test\",\n \"= request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test try:\",\n \"get_topic(request) flag = False except Http404: flag = True # Assert test self.assertTrue(flag)\",\n \"url = reverse('web_dep_table') request = self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.post(url)\",\n \"= False except Http404: flag = True # Assert test self.assertTrue(flag) def test_return_topic_that_outside_user_topics(self):\",\n \"= Topic.objects.create(name='topic name', desc='ddddd', term=1) self.topic.department.add(self.dep) def test_page_load_on_get(self): # Setup test url =\",\n \"= User.objects.create(username='test_username', email='<EMAIL>', password='<PASSWORD>') self.uni = University.objects.create(name='test_university') self.fac = Faculty.objects.create(name='Test faculty') self.dep =\",\n \"= self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.post(url) # Assert test self.assertEqual(302,\",\n \"= Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) self.profile = UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) def test_page_load_on_get(self): #\",\n \"password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.post(url, data=data) # Assert test self.assertEqual(302, request.status_code)\",\n \"password='<PASSWORD>') request = self.client.login(username=\\\"xxxss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.get(url) # Assert\",\n \"test_post_when_no_choices(self): # Setup test url = reverse('web_user_table') data = {} request = self.client.login(username=\\\"xxxss\\\",\",\n \"test test\\\", faculty=self.fac, term=1) self.topic.department.add(self.dep) self.user.profile = self.profile self.profile.topics.add(self.topic) def test_return_topic_that_match_user(self): # Setup\",\n \"test self.assertTrue(flag) def test_return_topic_that_does_not_exist(self): # Setup test request = RequestFactory() request = request.get(reverse('get_topic',\",\n \"= self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_page_load_if_no_profile(self): # Setup\",\n \"# Exercise test another_dep = Department.objects.create() try: response = get_topic(request, another_dep.id, self.topic.id) flag\",\n \"Topic from cms.views import get_topic class AccessRestriction(TestCase): def setUp(self): self.user = User.objects.create(username='test_username', email='<EMAIL>',\",\n \"= request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test another_dep\",\n \"= request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test response\",\n \"'topic_id': self.topic.id})) request.user = self.user # Exercise test another_dep = Department.objects.create() try: response\",\n \"test response = get_topic(request, self.dep.id, self.topic.id) # Assert test self.assertEqual(200, response.status_code) def test_return_topic_that_has_different_department(self):\",\n \"self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.post(url) # Assert test self.assertEqual(302, request.status_code)\",\n \"# Assert test self.assertEqual(302, request.status_code) def test_page_redirect_on_no_profile(self): # Setup test user = User.objects.create_user(\",\n \"import University, Faculty, Department, UserProfile from cms.models import Topic from cms.views import get_topic\",\n \"= self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_post_when_no_choices(self): # Setup\",\n \"get_topic(request, self.dep.id, self.topic.id) # Assert test self.assertEqual(200, response.status_code) def test_return_topic_that_has_different_department(self): # Setup test\",\n \"request = self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/table_main.html') def test_page_redirect_on_post(self): #\",\n \"django.core.urlresolvers import resolve from django.urls import reverse from django.test import TestCase, RequestFactory from\",\n \"from django.core.urlresolvers import resolve from django.urls import reverse from django.test import TestCase, RequestFactory\",\n \"User from unittest import skip from users.models import University, Faculty, Department, UserProfile from\",\n \"# Exercise test outsider_topic = Topic.objects.create(name='ms', desc=\\\"test test test\\\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try:\",\n \"Assert test self.assertTrue(flag) def test_get_topic_with_no_parameters(self): # Setup test another_topic = Topic.objects.create(name='is', desc=\\\"test test\",\n \"Http404 from django.contrib.auth.models import User from unittest import skip from users.models import University,\",\n \"setUp(self): self.user = User.objects.create(username='test_username', email='<EMAIL>', password='<PASSWORD>') self.uni = University.objects.create(name='test_university') self.fac = Faculty.objects.create(name='Test faculty')\",\n \"# Exercise test request = self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/table_main.html')\",\n \"Assert test self.assertEqual(200, response.status_code) def test_return_topic_that_has_different_department(self): # Setup test request = RequestFactory() request\",\n \"password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.post(url) # Assert test self.assertEqual(302, request.status_code) def\",\n \"990) flag = False except Http404: flag = True # Assert test self.assertTrue(flag)\",\n \"test self.assertEqual(302, request.status_code) class UserTableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac\",\n \"test self.assertTrue(flag) def test_get_topic_with_no_parameters(self): # Setup test another_topic = Topic.objects.create(name='is', desc=\\\"test test test\\\",\",\n \"test request = self.client.post(url) # Assert test self.assertEqual(302, request.status_code) def test_page_redirect_on_no_profile(self): # Setup\",\n \"Setup test another_topic = Topic.objects.create(name='is', desc=\\\"test test test\\\", faculty=self.fac, term=1) another_topic.department.add(self.dep) self.user.profile.topics.add(another_topic) request\",\n \"# Assert test self.assertTrue(flag) class TableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>')\",\n \"self.user # Exercise test outsider_topic = Topic.objects.create(name='ms', desc=\\\"test test test\\\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep)\",\n \"self.topic = Topic.objects.create(name='cs', desc=\\\"test test test\\\", faculty=self.fac, term=1) self.topic.department.add(self.dep) self.user.profile = self.profile self.profile.topics.add(self.topic)\",\n \"self.dep = Department.objects.create(faculty=self.fac) self.profile = UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) def test_page_load_on_get(self): # Setup test\",\n \"desc=\\\"test test test\\\", faculty=self.fac, term=1) self.topic.department.add(self.dep) self.user.profile = self.profile self.profile.topics.add(self.topic) def test_return_topic_that_match_user(self): #\",\n \"= self.client.get(url) # Assert test self.assertEqual(302, request.status_code) class UserTableViews(TestCase): def setUp(self): self.user =\",\n \"False except Http404: flag = True # Assert test self.assertTrue(flag) def test_return_topic_that_does_not_exist(self): #\",\n \"faculty') self.dep = Department.objects.create(name='Test dep') self.profile = UserProfile.objects.create(university=self.uni, faculty=self.fac, department=self.dep) self.topic = Topic.objects.create(name='cs',\",\n \"Topic.objects.create(name='ms', desc=\\\"test test test\\\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request, self.dep.id, outsider_topic.id)\",\n \"test\\\", faculty=self.fac, term=1) another_topic.department.add(self.dep) self.user.profile.topics.add(another_topic) request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id,\",\n \"department=self.dep, faculty=self.fac) def test_page_load_on_get(self): # Setup test url = reverse('web_dep_table') request = self.client.login(username=\\\"ssss\\\",\",\n \"def test_page_load_on_get(self): # Setup test url = reverse('web_dep_table') request = self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") #\",\n \"= get_topic(request, another_dep.id, self.topic.id) flag = False except Http404: flag = True #\",\n \"response = get_topic(request, self.dep.id, self.topic.id) # Assert test self.assertEqual(200, response.status_code) def test_return_topic_that_has_different_department(self): #\",\n \"# Setup test url = reverse('web_user_table') data = {} request = self.client.login(username=\\\"xxxss\\\", password=\\\"<PASSWORD>\\\")\",\n \"# Setup test url = reverse('web_user_table') request = self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") # Exercise test\",\n \"Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_page_load_if_no_profile(self): # Setup test url =\",\n \"test_return_topic_that_outside_user_topics(self): # Setup test another_topic = Topic.objects.create(name='is', desc=\\\"test test test\\\", faculty=self.fac, term=1) another_topic.department.add(self.dep)\",\n \"User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) self.topic\",\n \"Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/table_main.html') def test_page_redirect_on_post(self): # Setup test url =\",\n \"request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_post_when_no_choices(self): # Setup test url = reverse('web_user_table') data =\",\n \"test try: response = get_topic(request, self.dep.id, 990) flag = False except Http404: flag\",\n \"= self.client.login(username=\\\"test_username\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.get(url) # Assert test self.assertEqual(302,\",\n \"self.dep = Department.objects.create(faculty=self.fac) UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) self.topic = Topic.objects.create(name='topic name', desc='ddddd', term=1) self.topic.department.add(self.dep)\",\n \"django.contrib.auth.models import User from unittest import skip from users.models import University, Faculty, Department,\",\n \"self.topic.id) flag = False except Http404: flag = True # Assert test self.assertTrue(flag)\",\n \"outsider_topic.id) flag = False except Http404: flag = True # Assert test self.assertTrue(flag)\",\n \"Department.objects.create() try: response = get_topic(request, another_dep.id, self.topic.id) flag = False except Http404: flag\",\n \"url = reverse('web_dep_table') request = self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.get(url)\",\n \"request = self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.get(url) # Assert test\",\n \"from django.urls import reverse from django.test import TestCase, RequestFactory from django.http import HttpRequest,\",\n \"outsider_topic.department.add(self.dep) try: response = get_topic(request) flag = False except Http404: flag = True\",\n \"test_page_load_on_get(self): # Setup test url = reverse('web_dep_table') request = self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") # Exercise\",\n \"'tables/user_table.html') def test_post_when_no_choices(self): # Setup test url = reverse('web_user_table') data = {} request\",\n \"self.assertTrue(flag) def test_return_topic_that_does_not_exist(self): # Setup test request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id':\",\n \"request = self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.post(url) # Assert test\",\n \"Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) self.profile = UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) def test_page_load_on_get(self): # Setup\",\n \"desc=\\\"test test test\\\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request) flag = False\",\n \"another_user = User.objects.create_user(username='xxxss', email='<EMAIL>', password='<PASSWORD>') request = self.client.login(username=\\\"xxxss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request\",\n \"get_topic class AccessRestriction(TestCase): def setUp(self): self.user = User.objects.create(username='test_username', email='<EMAIL>', password='<PASSWORD>') self.uni = University.objects.create(name='test_university')\",\n \"reverse('web_dep_table') request = self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.post(url) # Assert\",\n \"import resolve from django.urls import reverse from django.test import TestCase, RequestFactory from django.http\",\n \"self.assertTrue(flag) def test_return_topic_that_outside_user_topics(self): # Setup test another_topic = Topic.objects.create(name='is', desc=\\\"test test test\\\", faculty=self.fac,\",\n \"kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test outsider_topic = Topic.objects.create(name='ms',\",\n \"response.status_code) def test_return_topic_that_has_different_department(self): # Setup test request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id':\",\n \"# Setup test user = User.objects.create_user( username='test_username', email='<EMAIL>', password='<PASSWORD>' ) url = reverse('web_dep_table')\",\n \"= User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) self.profile = UserProfile.objects.create(user=self.user,\",\n \"Exercise test another_dep = Department.objects.create() try: response = get_topic(request, another_dep.id, self.topic.id) flag =\",\n \"test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_page_load_if_no_profile(self): # Setup test url = reverse('web_user_table')\",\n \"test\\\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request, self.dep.id, outsider_topic.id) flag = False\",\n \"self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/table_main.html') def test_page_redirect_on_post(self): # Setup test\",\n \"= Department.objects.create(faculty=self.fac) self.profile = UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) def test_page_load_on_get(self): # Setup test url\",\n \"Setup test url = reverse('web_user_table') another_user = User.objects.create_user(username='xxxss', email='<EMAIL>', password='<PASSWORD>') request = self.client.login(username=\\\"xxxss\\\",\",\n \"faculty=self.fac, department=self.dep) self.topic = Topic.objects.create(name='cs', desc=\\\"test test test\\\", faculty=self.fac, term=1) self.topic.department.add(self.dep) self.user.profile =\",\n \"= reverse('web_user_table') data = {} request = self.client.login(username=\\\"xxxss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request\",\n \"request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test response =\",\n \"# Exercise test response = get_topic(request, self.dep.id, self.topic.id) # Assert test self.assertEqual(200, response.status_code)\",\n \"flag = False except Http404: flag = True # Assert test self.assertTrue(flag) def\",\n \"response = get_topic(request, another_dep.id, self.topic.id) flag = False except Http404: flag = True\",\n \"Exercise test response = get_topic(request, self.dep.id, self.topic.id) # Assert test self.assertEqual(200, response.status_code) def\",\n \"self.topic.department.add(self.dep) def test_page_load_on_get(self): # Setup test url = reverse('web_user_table') request = self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\")\",\n \"= User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac)\",\n \"flag = True # Assert test self.assertTrue(flag) def test_return_topic_that_outside_user_topics(self): # Setup test another_topic\",\n \"= reverse('web_dep_table') request = self.client.login(username=\\\"test_username\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.get(url) #\",\n \"def test_return_topic_that_match_user(self): # Setup test request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id,\",\n \"password='<PASSWORD>' ) url = reverse('web_dep_table') request = self.client.login(username=\\\"test_username\\\", password=\\\"<PASSWORD>\\\") # Exercise test request\",\n \"unittest import skip from users.models import University, Faculty, Department, UserProfile from cms.models import\",\n \"reverse from django.test import TestCase, RequestFactory from django.http import HttpRequest, Http404 from django.contrib.auth.models\",\n \"url = reverse('web_user_table') another_user = User.objects.create_user(username='xxxss', email='<EMAIL>', password='<PASSWORD>') request = self.client.login(username=\\\"xxxss\\\", password=\\\"<PASSWORD>\\\") #\",\n \"UserTableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep =\",\n \"url = reverse('web_user_table') data = {} request = self.client.login(username=\\\"xxxss\\\", password=\\\"<PASSWORD>\\\") # Exercise test\",\n \"Department.objects.create(faculty=self.fac) UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) self.topic = Topic.objects.create(name='topic name', desc='ddddd', term=1) self.topic.department.add(self.dep) def test_page_load_on_get(self):\",\n \"dep') self.profile = UserProfile.objects.create(university=self.uni, faculty=self.fac, department=self.dep) self.topic = Topic.objects.create(name='cs', desc=\\\"test test test\\\", faculty=self.fac,\",\n \"Topic.objects.create(name='is', desc=\\\"test test test\\\", faculty=self.fac, term=1) another_topic.department.add(self.dep) self.user.profile.topics.add(another_topic) request = RequestFactory() request =\",\n \"= self.client.post(url) # Assert test self.assertEqual(302, request.status_code) def test_page_redirect_on_no_profile(self): # Setup test user\",\n \"kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test response = get_topic(request,\",\n \"email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) self.profile = UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac)\",\n \"name', desc='ddddd', term=1) self.topic.department.add(self.dep) def test_page_load_on_get(self): # Setup test url = reverse('web_user_table') request\",\n \"self.topic.department.add(self.dep) self.user.profile = self.profile self.profile.topics.add(self.topic) def test_return_topic_that_match_user(self): # Setup test request = RequestFactory()\",\n \"test_return_topic_that_does_not_exist(self): # Setup test request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id':\",\n \"'tables/table_main.html') def test_page_redirect_on_post(self): # Setup test url = reverse('web_dep_table') request = self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\")\",\n \"cms.models import Topic from cms.views import get_topic class AccessRestriction(TestCase): def setUp(self): self.user =\",\n \"from unittest import skip from users.models import University, Faculty, Department, UserProfile from cms.models\",\n \"= User.objects.create_user(username='xxxss', email='<EMAIL>', password='<PASSWORD>') request = self.client.login(username=\\\"xxxss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request =\",\n \"django.test import TestCase, RequestFactory from django.http import HttpRequest, Http404 from django.contrib.auth.models import User\",\n \"# Assert test self.assertEqual(200, response.status_code) def test_return_topic_that_has_different_department(self): # Setup test request = RequestFactory()\",\n \"# Exercise test request = self.client.post(url) # Assert test self.assertEqual(302, request.status_code) def test_page_redirect_on_no_profile(self):\",\n \"request = self.client.post(url) # Assert test self.assertEqual(302, request.status_code) def test_page_redirect_on_no_profile(self): # Setup test\",\n \"test_return_topic_that_match_user(self): # Setup test request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id':\",\n \"Http404: flag = True # Assert test self.assertTrue(flag) class TableViews(TestCase): def setUp(self): self.user\",\n \"# Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/table_main.html') def test_page_redirect_on_post(self): # Setup test url\",\n \"Exercise test request = self.client.post(url) # Assert test self.assertEqual(302, request.status_code) def test_page_redirect_on_no_profile(self): #\",\n \"response = get_topic(request) flag = False except Http404: flag = True # Assert\",\n \"kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test try: response =\",\n \"password='<PASSWORD>') self.uni = University.objects.create(name='test_university') self.fac = Faculty.objects.create(name='Test faculty') self.dep = Department.objects.create(name='Test dep') self.profile\",\n \"= self.client.login(username=\\\"xxxss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.post(url, data=data) # Assert test\",\n \"self.topic.id})) request.user = self.user # Exercise test response = get_topic(request, self.dep.id, self.topic.id) #\",\n \"# Exercise test request = self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html')\",\n \"skip from users.models import University, Faculty, Department, UserProfile from cms.models import Topic from\",\n \"test url = reverse('web_dep_table') request = self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request =\",\n \"self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/table_main.html') def test_page_redirect_on_post(self): # Setup test url = reverse('web_dep_table') request\",\n \"email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) self.topic =\",\n \"request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test another_dep =\",\n \"= Topic.objects.create(name='is', desc=\\\"test test test\\\", faculty=self.fac, term=1) another_topic.department.add(self.dep) self.user.profile.topics.add(another_topic) request = RequestFactory() request\",\n \"Exercise test request = self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def\",\n \"test_get_topic_with_no_parameters(self): # Setup test another_topic = Topic.objects.create(name='is', desc=\\\"test test test\\\", faculty=self.fac, term=1) another_topic.department.add(self.dep)\",\n \"except Http404: flag = True # Assert test self.assertTrue(flag) def test_get_topic_with_no_parameters(self): # Setup\",\n \"import skip from users.models import University, Faculty, Department, UserProfile from cms.models import Topic\",\n \"Faculty.objects.create(name='Test faculty') self.dep = Department.objects.create(name='Test dep') self.profile = UserProfile.objects.create(university=self.uni, faculty=self.fac, department=self.dep) self.topic =\",\n \"Topic.objects.create(name='cs', desc=\\\"test test test\\\", faculty=self.fac, term=1) self.topic.department.add(self.dep) self.user.profile = self.profile self.profile.topics.add(self.topic) def test_return_topic_that_match_user(self):\",\n \"test self.assertTrue(flag) def test_return_topic_that_outside_user_topics(self): # Setup test another_topic = Topic.objects.create(name='is', desc=\\\"test test test\\\",\",\n \"self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.get(url) # Assert test self.assertEqual(200, request.status_code)\",\n \"# Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_post_when_no_choices(self): # Setup test url\",\n \"= request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test outsider_topic\",\n \"= Topic.objects.create(name='ms', desc=\\\"test test test\\\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request, self.dep.id,\",\n \"another_topic = Topic.objects.create(name='is', desc=\\\"test test test\\\", faculty=self.fac, term=1) another_topic.department.add(self.dep) self.user.profile.topics.add(another_topic) request = RequestFactory()\",\n \"self.profile self.profile.topics.add(self.topic) def test_return_topic_that_match_user(self): # Setup test request = RequestFactory() request = request.get(reverse('get_topic',\",\n \"request.status_code) self.assertTemplateUsed(request, 'tables/table_main.html') def test_page_redirect_on_post(self): # Setup test url = reverse('web_dep_table') request =\",\n \"username='test_username', email='<EMAIL>', password='<PASSWORD>' ) url = reverse('web_dep_table') request = self.client.login(username=\\\"test_username\\\", password=\\\"<PASSWORD>\\\") # Exercise\",\n \"self.assertEqual(302, request.status_code) def test_page_redirect_on_no_profile(self): # Setup test user = User.objects.create_user( username='test_username', email='<EMAIL>', password='<PASSWORD>'\",\n \"self.uni = University.objects.create(name='test_university') self.fac = Faculty.objects.create(name='Test faculty') self.dep = Department.objects.create(name='Test dep') self.profile =\",\n \"self.client.login(username=\\\"xxxss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.get(url) # Assert test self.assertEqual(200, request.status_code)\",\n \"test test\\\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request) flag = False except\",\n \"self.client.login(username=\\\"test_username\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.get(url) # Assert test self.assertEqual(302, request.status_code)\",\n \"data = {} request = self.client.login(username=\\\"xxxss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.post(url,\",\n \"import HttpRequest, Http404 from django.contrib.auth.models import User from unittest import skip from users.models\",\n \"outsider_topic.department.add(self.dep) try: response = get_topic(request, self.dep.id, outsider_topic.id) flag = False except Http404: flag\",\n \"= get_topic(request, self.dep.id, self.topic.id) # Assert test self.assertEqual(200, response.status_code) def test_return_topic_that_has_different_department(self): # Setup\",\n \"from django.test import TestCase, RequestFactory from django.http import HttpRequest, Http404 from django.contrib.auth.models import\",\n \"self.user = User.objects.create(username='test_username', email='<EMAIL>', password='<PASSWORD>') self.uni = University.objects.create(name='test_university') self.fac = Faculty.objects.create(name='Test faculty') self.dep\",\n \"test self.assertTrue(flag) class TableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac =\",\n \"term=1) self.topic.department.add(self.dep) self.user.profile = self.profile self.profile.topics.add(self.topic) def test_return_topic_that_match_user(self): # Setup test request =\",\n \"request.status_code) class UserTableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create()\",\n \") url = reverse('web_dep_table') request = self.client.login(username=\\\"test_username\\\", password=\\\"<PASSWORD>\\\") # Exercise test request =\",\n \"University, Faculty, Department, UserProfile from cms.models import Topic from cms.views import get_topic class\",\n \"outsider_topic = Topic.objects.create(name='ms', desc=\\\"test test test\\\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request)\",\n \"self.assertTemplateUsed(request, 'tables/user_table.html') def test_post_when_no_choices(self): # Setup test url = reverse('web_user_table') data = {}\",\n \"Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_post_when_no_choices(self): # Setup test url =\",\n \"self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) UserProfile.objects.create(user=self.user, department=self.dep,\",\n \"True # Assert test self.assertTrue(flag) def test_get_topic_with_no_parameters(self): # Setup test another_topic = Topic.objects.create(name='is',\",\n \"User.objects.create_user( username='test_username', email='<EMAIL>', password='<PASSWORD>' ) url = reverse('web_dep_table') request = self.client.login(username=\\\"test_username\\\", password=\\\"<PASSWORD>\\\") #\",\n \"request = self.client.login(username=\\\"xxxss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.post(url, data=data) # Assert\",\n \"= Department.objects.create(faculty=self.fac) UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) self.topic = Topic.objects.create(name='topic name', desc='ddddd', term=1) self.topic.department.add(self.dep) def\",\n \"kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test another_dep = Department.objects.create()\",\n \"def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac)\",\n \"= self.user # Exercise test response = get_topic(request, self.dep.id, self.topic.id) # Assert test\",\n \"test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_post_when_no_choices(self): # Setup test url = reverse('web_user_table')\",\n \"term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request, self.dep.id, outsider_topic.id) flag = False except Http404:\",\n \"= Topic.objects.create(name='cs', desc=\\\"test test test\\\", faculty=self.fac, term=1) self.topic.department.add(self.dep) self.user.profile = self.profile self.profile.topics.add(self.topic) def\",\n \"password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.get(url) # Assert test self.assertEqual(302, request.status_code) class\",\n \"Department.objects.create(faculty=self.fac) self.profile = UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) def test_page_load_on_get(self): # Setup test url =\",\n \"# Assert test self.assertEqual(302, request.status_code) class UserTableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>',\",\n \"= self.user # Exercise test outsider_topic = Topic.objects.create(name='ms', desc=\\\"test test test\\\", faculty=self.fac, term=1)\",\n \"self.user # Exercise test try: response = get_topic(request, self.dep.id, 990) flag = False\",\n \"UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) self.topic = Topic.objects.create(name='topic name', desc='ddddd', term=1) self.topic.department.add(self.dep) def test_page_load_on_get(self): #\",\n \"test user = User.objects.create_user( username='test_username', email='<EMAIL>', password='<PASSWORD>' ) url = reverse('web_dep_table') request =\",\n \"User.objects.create_user(username='xxxss', email='<EMAIL>', password='<PASSWORD>') request = self.client.login(username=\\\"xxxss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.get(url)\",\n \"from cms.models import Topic from cms.views import get_topic class AccessRestriction(TestCase): def setUp(self): self.user\",\n \"department=self.dep) self.topic = Topic.objects.create(name='cs', desc=\\\"test test test\\\", faculty=self.fac, term=1) self.topic.department.add(self.dep) self.user.profile = self.profile\",\n \"self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test another_dep = Department.objects.create() try:\",\n \"except Http404: flag = True # Assert test self.assertTrue(flag) def test_return_topic_that_outside_user_topics(self): # Setup\",\n \"Setup test request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user\",\n \"faculty=self.fac, term=1) self.topic.department.add(self.dep) self.user.profile = self.profile self.profile.topics.add(self.topic) def test_return_topic_that_match_user(self): # Setup test request\",\n \"# Assert test self.assertTrue(flag) def test_return_topic_that_outside_user_topics(self): # Setup test another_topic = Topic.objects.create(name='is', desc=\\\"test\",\n \"def test_page_load_if_no_profile(self): # Setup test url = reverse('web_user_table') another_user = User.objects.create_user(username='xxxss', email='<EMAIL>', password='<PASSWORD>')\",\n \"Setup test user = User.objects.create_user( username='test_username', email='<EMAIL>', password='<PASSWORD>' ) url = reverse('web_dep_table') request\",\n \"self.dep.id, outsider_topic.id) flag = False except Http404: flag = True # Assert test\",\n \"self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_page_load_if_no_profile(self): # Setup test url = reverse('web_user_table') another_user\",\n \"self.assertEqual(200, response.status_code) def test_return_topic_that_has_different_department(self): # Setup test request = RequestFactory() request = request.get(reverse('get_topic',\",\n \"test request = self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/table_main.html') def test_page_redirect_on_post(self):\",\n \"self.profile.topics.add(self.topic) def test_return_topic_that_match_user(self): # Setup test request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id':\",\n \"test url = reverse('web_user_table') another_user = User.objects.create_user(username='xxxss', email='<EMAIL>', password='<PASSWORD>') request = self.client.login(username=\\\"xxxss\\\", password=\\\"<PASSWORD>\\\")\",\n \"request = self.client.login(username=\\\"test_username\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.get(url) # Assert test\",\n \"request.user = self.user # Exercise test outsider_topic = Topic.objects.create(name='ms', desc=\\\"test test test\\\", faculty=self.fac,\",\n \"get_topic(request, self.dep.id, 990) flag = False except Http404: flag = True # Assert\",\n \"= True # Assert test self.assertTrue(flag) def test_return_topic_that_outside_user_topics(self): # Setup test another_topic =\",\n \"import User from unittest import skip from users.models import University, Faculty, Department, UserProfile\",\n \"django.urls import reverse from django.test import TestCase, RequestFactory from django.http import HttpRequest, Http404\",\n \"request = self.client.get(url) # Assert test self.assertEqual(302, request.status_code) class UserTableViews(TestCase): def setUp(self): self.user\",\n \"import TestCase, RequestFactory from django.http import HttpRequest, Http404 from django.contrib.auth.models import User from\",\n \"try: response = get_topic(request, self.dep.id, outsider_topic.id) flag = False except Http404: flag =\",\n \"= Department.objects.create(name='Test dep') self.profile = UserProfile.objects.create(university=self.uni, faculty=self.fac, department=self.dep) self.topic = Topic.objects.create(name='cs', desc=\\\"test test\",\n \"try: response = get_topic(request, self.dep.id, 990) flag = False except Http404: flag =\",\n \"= Faculty.objects.create(name='Test faculty') self.dep = Department.objects.create(name='Test dep') self.profile = UserProfile.objects.create(university=self.uni, faculty=self.fac, department=self.dep) self.topic\",\n \"test_return_topic_that_has_different_department(self): # Setup test request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id':\",\n \"True # Assert test self.assertTrue(flag) def test_return_topic_that_outside_user_topics(self): # Setup test another_topic = Topic.objects.create(name='is',\",\n \"= UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) def test_page_load_on_get(self): # Setup test url = reverse('web_dep_table') request\",\n \"user = User.objects.create_user( username='test_username', email='<EMAIL>', password='<PASSWORD>' ) url = reverse('web_dep_table') request = self.client.login(username=\\\"test_username\\\",\",\n \"faculty=self.fac, term=1) another_topic.department.add(self.dep) self.user.profile.topics.add(another_topic) request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id':\",\n \"desc='ddddd', term=1) self.topic.department.add(self.dep) def test_page_load_on_get(self): # Setup test url = reverse('web_user_table') request =\",\n \"'topic_id': self.topic.id})) request.user = self.user # Exercise test try: response = get_topic(request, self.dep.id,\",\n \"password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) self.profile = UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) def\",\n \"password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) self.topic = Topic.objects.create(name='topic\",\n \"University.objects.create(name='test_university') self.fac = Faculty.objects.create(name='Test faculty') self.dep = Department.objects.create(name='Test dep') self.profile = UserProfile.objects.create(university=self.uni, faculty=self.fac,\",\n \"= False except Http404: flag = True # Assert test self.assertTrue(flag) def test_return_topic_that_does_not_exist(self):\",\n \"request = self.client.login(username=\\\"xxxss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.get(url) # Assert test\",\n \"test_page_load_if_no_profile(self): # Setup test url = reverse('web_user_table') another_user = User.objects.create_user(username='xxxss', email='<EMAIL>', password='<PASSWORD>') request\",\n \"= reverse('web_user_table') request = self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.get(url) #\",\n \"UserProfile.objects.create(university=self.uni, faculty=self.fac, department=self.dep) self.topic = Topic.objects.create(name='cs', desc=\\\"test test test\\\", faculty=self.fac, term=1) self.topic.department.add(self.dep) self.user.profile\",\n \"test\\\", faculty=self.fac, term=1) self.topic.department.add(self.dep) self.user.profile = self.profile self.profile.topics.add(self.topic) def test_return_topic_that_match_user(self): # Setup test\",\n \"Exercise test try: response = get_topic(request, self.dep.id, 990) flag = False except Http404:\",\n \"except Http404: flag = True # Assert test self.assertTrue(flag) class TableViews(TestCase): def setUp(self):\",\n \"self.user # Exercise test response = get_topic(request, self.dep.id, self.topic.id) # Assert test self.assertEqual(200,\",\n \"def setUp(self): self.user = User.objects.create(username='test_username', email='<EMAIL>', password='<PASSWORD>') self.uni = University.objects.create(name='test_university') self.fac = Faculty.objects.create(name='Test\",\n \"setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) self.profile\",\n \"Http404: flag = True # Assert test self.assertTrue(flag) def test_get_topic_with_no_parameters(self): # Setup test\",\n \"False except Http404: flag = True # Assert test self.assertTrue(flag) class TableViews(TestCase): def\",\n \"flag = True # Assert test self.assertTrue(flag) def test_get_topic_with_no_parameters(self): # Setup test another_topic\",\n \"False except Http404: flag = True # Assert test self.assertTrue(flag) def test_get_topic_with_no_parameters(self): #\",\n \"self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) self.profile = UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) def test_page_load_on_get(self):\",\n \"from django.contrib.auth.models import User from unittest import skip from users.models import University, Faculty,\",\n \"test url = reverse('web_user_table') data = {} request = self.client.login(username=\\\"xxxss\\\", password=\\\"<PASSWORD>\\\") # Exercise\",\n \"self.topic.id) # Assert test self.assertEqual(200, response.status_code) def test_return_topic_that_has_different_department(self): # Setup test request =\",\n \"'topic_id': self.topic.id})) request.user = self.user # Exercise test response = get_topic(request, self.dep.id, self.topic.id)\",\n \"self.assertTrue(flag) def test_get_topic_with_no_parameters(self): # Setup test another_topic = Topic.objects.create(name='is', desc=\\\"test test test\\\", faculty=self.fac,\",\n \"get_topic(request, self.dep.id, outsider_topic.id) flag = False except Http404: flag = True # Assert\",\n \"False except Http404: flag = True # Assert test self.assertTrue(flag) def test_return_topic_that_outside_user_topics(self): #\",\n \"request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user\",\n \"Assert test self.assertTrue(flag) class TableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac\",\n \"faculty=self.fac) def test_page_load_on_get(self): # Setup test url = reverse('web_dep_table') request = self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\")\",\n \"reverse('web_user_table') data = {} request = self.client.login(username=\\\"xxxss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request =\",\n \"request = self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_post_when_no_choices(self): #\",\n \"= get_topic(request) flag = False except Http404: flag = True # Assert test\",\n \"Department, UserProfile from cms.models import Topic from cms.views import get_topic class AccessRestriction(TestCase): def\",\n \"test self.assertEqual(200, response.status_code) def test_return_topic_that_has_different_department(self): # Setup test request = RequestFactory() request =\",\n \"self.dep = Department.objects.create(name='Test dep') self.profile = UserProfile.objects.create(university=self.uni, faculty=self.fac, department=self.dep) self.topic = Topic.objects.create(name='cs', desc=\\\"test\",\n \"response = get_topic(request, self.dep.id, outsider_topic.id) flag = False except Http404: flag = True\",\n \"# Setup test url = reverse('web_user_table') another_user = User.objects.create_user(username='xxxss', email='<EMAIL>', password='<PASSWORD>') request =\",\n \"self.assertEqual(302, request.status_code) class UserTableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac =\",\n \"users.models import University, Faculty, Department, UserProfile from cms.models import Topic from cms.views import\",\n \"self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) self.profile =\",\n \"self.assertTrue(flag) class TableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create()\",\n \"# Setup test request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id}))\",\n \"self.topic.id})) request.user = self.user # Exercise test try: response = get_topic(request, self.dep.id, 990)\",\n \"request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test\",\n \"= Topic.objects.create(name='ms', desc=\\\"test test test\\\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request) flag\",\n \"self.profile = UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) def test_page_load_on_get(self): # Setup test url = reverse('web_dep_table')\",\n \"# Exercise test request = self.client.get(url) # Assert test self.assertEqual(302, request.status_code) class UserTableViews(TestCase):\",\n \"= reverse('web_user_table') another_user = User.objects.create_user(username='xxxss', email='<EMAIL>', password='<PASSWORD>') request = self.client.login(username=\\\"xxxss\\\", password=\\\"<PASSWORD>\\\") # Exercise\",\n \"test url = reverse('web_user_table') request = self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request =\",\n \"# Assert test self.assertTrue(flag) def test_return_topic_that_does_not_exist(self): # Setup test request = RequestFactory() request\",\n \"self.topic = Topic.objects.create(name='topic name', desc='ddddd', term=1) self.topic.department.add(self.dep) def test_page_load_on_get(self): # Setup test url\",\n \"from django.http import HttpRequest, Http404 from django.contrib.auth.models import User from unittest import skip\",\n \"self.fac = Faculty.objects.create(name='Test faculty') self.dep = Department.objects.create(name='Test dep') self.profile = UserProfile.objects.create(university=self.uni, faculty=self.fac, department=self.dep)\",\n \"term=1) self.topic.department.add(self.dep) def test_page_load_on_get(self): # Setup test url = reverse('web_user_table') request = self.client.login(username=\\\"ssss\\\",\",\n \"request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_page_load_if_no_profile(self): # Setup test url = reverse('web_user_table') another_user =\",\n \"def test_get_topic_with_no_parameters(self): # Setup test another_topic = Topic.objects.create(name='is', desc=\\\"test test test\\\", faculty=self.fac, term=1)\",\n \"self.client.get(url) # Assert test self.assertEqual(302, request.status_code) class UserTableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss',\",\n \"django.http import HttpRequest, Http404 from django.contrib.auth.models import User from unittest import skip from\",\n \"reverse('web_user_table') another_user = User.objects.create_user(username='xxxss', email='<EMAIL>', password='<PASSWORD>') request = self.client.login(username=\\\"xxxss\\\", password=\\\"<PASSWORD>\\\") # Exercise test\",\n \"faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request, self.dep.id, outsider_topic.id) flag = False except\",\n \"self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_page_load_if_no_profile(self): # Setup test\",\n \"test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/table_main.html') def test_page_redirect_on_post(self): # Setup test url = reverse('web_dep_table')\",\n \"self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test try: response = get_topic(request,\",\n \"self.assertTemplateUsed(request, 'tables/user_table.html') def test_page_load_if_no_profile(self): # Setup test url = reverse('web_user_table') another_user = User.objects.create_user(username='xxxss',\",\n \"test request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user =\",\n \"self.assertTemplateUsed(request, 'tables/table_main.html') def test_page_redirect_on_post(self): # Setup test url = reverse('web_dep_table') request = self.client.login(username=\\\"ssss\\\",\",\n \"class TableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep\",\n \"= self.user # Exercise test try: response = get_topic(request, self.dep.id, 990) flag =\",\n \"True # Assert test self.assertTrue(flag) class TableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>',\",\n \"self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test response = get_topic(request, self.dep.id,\",\n \"= Department.objects.create() try: response = get_topic(request, another_dep.id, self.topic.id) flag = False except Http404:\",\n \"test request = self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_page_load_if_no_profile(self):\",\n \"Topic.objects.create(name='topic name', desc='ddddd', term=1) self.topic.department.add(self.dep) def test_page_load_on_get(self): # Setup test url = reverse('web_user_table')\",\n \"Assert test self.assertEqual(302, request.status_code) def test_page_redirect_on_no_profile(self): # Setup test user = User.objects.create_user( username='test_username',\",\n \"cms.views import get_topic class AccessRestriction(TestCase): def setUp(self): self.user = User.objects.create(username='test_username', email='<EMAIL>', password='<PASSWORD>') self.uni\",\n \"get_topic(request, another_dep.id, self.topic.id) flag = False except Http404: flag = True # Assert\",\n \"test test\\\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request, self.dep.id, outsider_topic.id) flag =\",\n \"try: response = get_topic(request) flag = False except Http404: flag = True #\",\n \"def test_page_load_on_get(self): # Setup test url = reverse('web_user_table') request = self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") #\",\n \"= True # Assert test self.assertTrue(flag) def test_get_topic_with_no_parameters(self): # Setup test another_topic =\",\n \"email='<EMAIL>', password='<PASSWORD>') request = self.client.login(username=\\\"xxxss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.get(url) #\",\n \"= self.client.login(username=\\\"xxxss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.get(url) # Assert test self.assertEqual(200,\",\n \"self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_post_when_no_choices(self): # Setup test url = reverse('web_user_table') data\",\n \"UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) def test_page_load_on_get(self): # Setup test url = reverse('web_dep_table') request =\",\n \"True # Assert test self.assertTrue(flag) def test_return_topic_that_does_not_exist(self): # Setup test request = RequestFactory()\",\n \"RequestFactory from django.http import HttpRequest, Http404 from django.contrib.auth.models import User from unittest import\",\n \"Exercise test outsider_topic = Topic.objects.create(name='ms', desc=\\\"test test test\\\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response\",\n \"= False except Http404: flag = True # Assert test self.assertTrue(flag) class TableViews(TestCase):\",\n \"def test_return_topic_that_outside_user_topics(self): # Setup test another_topic = Topic.objects.create(name='is', desc=\\\"test test test\\\", faculty=self.fac, term=1)\",\n \"self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test outsider_topic = Topic.objects.create(name='ms', desc=\\\"test\",\n \"resolve from django.urls import reverse from django.test import TestCase, RequestFactory from django.http import\",\n \"= self.profile self.profile.topics.add(self.topic) def test_return_topic_that_match_user(self): # Setup test request = RequestFactory() request =\",\n \"except Http404: flag = True # Assert test self.assertTrue(flag) def test_return_topic_that_does_not_exist(self): # Setup\",\n \"term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request) flag = False except Http404: flag =\",\n \"User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) self.profile = UserProfile.objects.create(user=self.user, department=self.dep,\",\n \"import get_topic class AccessRestriction(TestCase): def setUp(self): self.user = User.objects.create(username='test_username', email='<EMAIL>', password='<PASSWORD>') self.uni =\",\n \"test another_topic = Topic.objects.create(name='is', desc=\\\"test test test\\\", faculty=self.fac, term=1) another_topic.department.add(self.dep) self.user.profile.topics.add(another_topic) request =\",\n \"self.dep.id, self.topic.id) # Assert test self.assertEqual(200, response.status_code) def test_return_topic_that_has_different_department(self): # Setup test request\",\n \"request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test try: response\",\n \"from cms.views import get_topic class AccessRestriction(TestCase): def setUp(self): self.user = User.objects.create(username='test_username', email='<EMAIL>', password='<PASSWORD>')\",\n \"Department.objects.create(name='Test dep') self.profile = UserProfile.objects.create(university=self.uni, faculty=self.fac, department=self.dep) self.topic = Topic.objects.create(name='cs', desc=\\\"test test test\\\",\",\n \"Setup test url = reverse('web_user_table') data = {} request = self.client.login(username=\\\"xxxss\\\", password=\\\"<PASSWORD>\\\") #\",\n \"<reponame>Ibrahem3amer/bala7<filename>cms/tests/test_views.py from django.core.urlresolvers import resolve from django.urls import reverse from django.test import TestCase,\",\n \"another_dep = Department.objects.create() try: response = get_topic(request, another_dep.id, self.topic.id) flag = False except\",\n \"= True # Assert test self.assertTrue(flag) class TableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss',\",\n \"Http404: flag = True # Assert test self.assertTrue(flag) def test_return_topic_that_outside_user_topics(self): # Setup test\",\n \"def test_page_redirect_on_no_profile(self): # Setup test user = User.objects.create_user( username='test_username', email='<EMAIL>', password='<PASSWORD>' ) url\",\n \"import reverse from django.test import TestCase, RequestFactory from django.http import HttpRequest, Http404 from\",\n \"= User.objects.create_user( username='test_username', email='<EMAIL>', password='<PASSWORD>' ) url = reverse('web_dep_table') request = self.client.login(username=\\\"test_username\\\", password=\\\"<PASSWORD>\\\")\",\n \"Faculty, Department, UserProfile from cms.models import Topic from cms.views import get_topic class AccessRestriction(TestCase):\",\n \"faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request) flag = False except Http404: flag\",\n \"department=self.dep, faculty=self.fac) self.topic = Topic.objects.create(name='topic name', desc='ddddd', term=1) self.topic.department.add(self.dep) def test_page_load_on_get(self): # Setup\",\n \"= False except Http404: flag = True # Assert test self.assertTrue(flag) def test_get_topic_with_no_parameters(self):\",\n \"try: response = get_topic(request, another_dep.id, self.topic.id) flag = False except Http404: flag =\",\n \"setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) UserProfile.objects.create(user=self.user,\",\n \"Http404: flag = True # Assert test self.assertTrue(flag) def test_return_topic_that_does_not_exist(self): # Setup test\",\n \"def test_post_when_no_choices(self): # Setup test url = reverse('web_user_table') data = {} request =\",\n \"flag = True # Assert test self.assertTrue(flag) class TableViews(TestCase): def setUp(self): self.user =\",\n \"request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise test outsider_topic =\",\n \"= Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) self.topic = Topic.objects.create(name='topic name', desc='ddddd',\",\n \"self.topic.id})) request.user = self.user # Exercise test outsider_topic = Topic.objects.create(name='ms', desc=\\\"test test test\\\",\",\n \"'tables/user_table.html') def test_page_load_if_no_profile(self): # Setup test url = reverse('web_user_table') another_user = User.objects.create_user(username='xxxss', email='<EMAIL>',\",\n \"request.user = self.user # Exercise test another_dep = Department.objects.create() try: response = get_topic(request,\",\n \"self.user.profile = self.profile self.profile.topics.add(self.topic) def test_return_topic_that_match_user(self): # Setup test request = RequestFactory() request\",\n \"= UserProfile.objects.create(university=self.uni, faculty=self.fac, department=self.dep) self.topic = Topic.objects.create(name='cs', desc=\\\"test test test\\\", faculty=self.fac, term=1) self.topic.department.add(self.dep)\",\n \"Exercise test request = self.client.get(url) # Assert test self.assertEqual(302, request.status_code) class UserTableViews(TestCase): def\",\n \"= University.objects.create(name='test_university') self.fac = Faculty.objects.create(name='Test faculty') self.dep = Department.objects.create(name='Test dep') self.profile = UserProfile.objects.create(university=self.uni,\",\n \"another_topic.department.add(self.dep) self.user.profile.topics.add(another_topic) request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user\",\n \"# Assert test self.assertTrue(flag) def test_get_topic_with_no_parameters(self): # Setup test another_topic = Topic.objects.create(name='is', desc=\\\"test\",\n \"# Setup test url = reverse('web_dep_table') request = self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") # Exercise test\",\n \"test_page_redirect_on_post(self): # Setup test url = reverse('web_dep_table') request = self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") # Exercise\",\n \"test request = self.client.get(url) # Assert test self.assertEqual(302, request.status_code) class UserTableViews(TestCase): def setUp(self):\",\n \"flag = True # Assert test self.assertTrue(flag) def test_return_topic_that_does_not_exist(self): # Setup test request\",\n \"= get_topic(request, self.dep.id, 990) flag = False except Http404: flag = True #\",\n \"UserProfile from cms.models import Topic from cms.views import get_topic class AccessRestriction(TestCase): def setUp(self):\",\n \"RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user # Exercise\",\n \"def test_return_topic_that_does_not_exist(self): # Setup test request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id,\",\n \"{} request = self.client.login(username=\\\"xxxss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.post(url, data=data) #\",\n \"# Setup test another_topic = Topic.objects.create(name='is', desc=\\\"test test test\\\", faculty=self.fac, term=1) another_topic.department.add(self.dep) self.user.profile.topics.add(another_topic)\",\n \"request.user = self.user # Exercise test response = get_topic(request, self.dep.id, self.topic.id) # Assert\",\n \"= self.user # Exercise test another_dep = Department.objects.create() try: response = get_topic(request, another_dep.id,\",\n \"def test_page_redirect_on_post(self): # Setup test url = reverse('web_dep_table') request = self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") #\",\n \"self.fac = Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) self.topic = Topic.objects.create(name='topic name',\",\n \"Topic.objects.create(name='ms', desc=\\\"test test test\\\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request) flag =\",\n \"TestCase, RequestFactory from django.http import HttpRequest, Http404 from django.contrib.auth.models import User from unittest\",\n \"test\\\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request) flag = False except Http404:\",\n \"self.topic.id})) request.user = self.user # Exercise test another_dep = Department.objects.create() try: response =\",\n \"self.client.login(username=\\\"xxxss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.post(url, data=data) # Assert test self.assertEqual(302,\",\n \"response = get_topic(request, self.dep.id, 990) flag = False except Http404: flag = True\",\n \"Setup test url = reverse('web_user_table') request = self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request\",\n \"email='<EMAIL>', password='<PASSWORD>') self.uni = University.objects.create(name='test_university') self.fac = Faculty.objects.create(name='Test faculty') self.dep = Department.objects.create(name='Test dep')\",\n \"reverse('web_dep_table') request = self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.get(url) # Assert\",\n \"faculty=self.fac) self.topic = Topic.objects.create(name='topic name', desc='ddddd', term=1) self.topic.department.add(self.dep) def test_page_load_on_get(self): # Setup test\",\n \"request.status_code) def test_page_redirect_on_no_profile(self): # Setup test user = User.objects.create_user( username='test_username', email='<EMAIL>', password='<PASSWORD>' )\",\n \"# Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_page_load_if_no_profile(self): # Setup test url\",\n \"request = self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_page_load_if_no_profile(self): #\",\n \"password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request,\",\n \"Assert test self.assertEqual(302, request.status_code) class UserTableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>')\",\n \"test another_dep = Department.objects.create() try: response = get_topic(request, another_dep.id, self.topic.id) flag = False\",\n \"= self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/table_main.html') def test_page_redirect_on_post(self): # Setup\",\n \"TableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep =\",\n \"= reverse('web_dep_table') request = self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.get(url) #\",\n \"class UserTableViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='ssss', email='<EMAIL>', password='<PASSWORD>') self.fac = Faculty.objects.create() self.dep\",\n \"# Exercise test try: response = get_topic(request, self.dep.id, 990) flag = False except\",\n \"def test_return_topic_that_has_different_department(self): # Setup test request = RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id,\",\n \"test outsider_topic = Topic.objects.create(name='ms', desc=\\\"test test test\\\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response =\",\n \"class AccessRestriction(TestCase): def setUp(self): self.user = User.objects.create(username='test_username', email='<EMAIL>', password='<PASSWORD>') self.uni = University.objects.create(name='test_university') self.fac\",\n \"desc=\\\"test test test\\\", faculty=self.fac, term=1) outsider_topic.department.add(self.dep) try: response = get_topic(request, self.dep.id, outsider_topic.id) flag\",\n \"= RequestFactory() request = request.get(reverse('get_topic', kwargs={'dep_id': self.dep.id, 'topic_id': self.topic.id})) request.user = self.user #\",\n \"desc=\\\"test test test\\\", faculty=self.fac, term=1) another_topic.department.add(self.dep) self.user.profile.topics.add(another_topic) request = RequestFactory() request = request.get(reverse('get_topic',\",\n \"reverse('web_user_table') request = self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.get(url) # Assert\",\n \"test self.assertEqual(302, request.status_code) def test_page_redirect_on_no_profile(self): # Setup test user = User.objects.create_user( username='test_username', email='<EMAIL>',\",\n \"= get_topic(request, self.dep.id, outsider_topic.id) flag = False except Http404: flag = True #\",\n \"test request = self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/user_table.html') def test_post_when_no_choices(self):\",\n \"self.client.post(url) # Assert test self.assertEqual(302, request.status_code) def test_page_redirect_on_no_profile(self): # Setup test user =\",\n \"= self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.get(url) # Assert test self.assertEqual(200,\",\n \"Setup test url = reverse('web_dep_table') request = self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request\",\n \"Exercise test request = self.client.get(url) # Assert test self.assertEqual(200, request.status_code) self.assertTemplateUsed(request, 'tables/table_main.html') def\",\n \"Faculty.objects.create() self.dep = Department.objects.create(faculty=self.fac) UserProfile.objects.create(user=self.user, department=self.dep, faculty=self.fac) self.topic = Topic.objects.create(name='topic name', desc='ddddd', term=1)\",\n \"HttpRequest, Http404 from django.contrib.auth.models import User from unittest import skip from users.models import\",\n \"url = reverse('web_user_table') request = self.client.login(username=\\\"ssss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.get(url)\",\n \"reverse('web_dep_table') request = self.client.login(username=\\\"test_username\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.get(url) # Assert\",\n \"Assert test self.assertTrue(flag) def test_return_topic_that_outside_user_topics(self): # Setup test another_topic = Topic.objects.create(name='is', desc=\\\"test test\",\n \"= {} request = self.client.login(username=\\\"xxxss\\\", password=\\\"<PASSWORD>\\\") # Exercise test request = self.client.post(url, data=data)\",\n \"self.user # Exercise test another_dep = Department.objects.create() try: response = get_topic(request, another_dep.id, self.topic.id)\",\n \"AccessRestriction(TestCase): def setUp(self): self.user = User.objects.create(username='test_username', email='<EMAIL>', password='<PASSWORD>') self.uni = University.objects.create(name='test_university') self.fac =\"\n]","isConversational":false}}},{"rowIdx":1288,"cells":{"ngram":{"kind":"list like","value":["Nepoch = 1 #Nbatch = 250 Nsamples = 512 TrainingImage = \"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\" LocModel","but running end-to-end. Any comments and further improvements are well recevied to: <EMAIL>","= \"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\" LocModel = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocModel = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]),","MinLR)/StepLR)*cuos + MinLR, decimals=7) else: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*(StepLR - cuos) +","of Data Conditioning - Num 9 .. divided by 3 so 1% is","code is not free of bugs but running end-to-end. Any comments and further","LocModel=LocModel) fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D(HyperPar=HyperPar, LocModel=LocModel) # To save the TI TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=3,Training=False,","{}\".format(indTrain+PointStart), \"Learning Rate: \", LearningRate) TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=5, Training=True, Padding=True) print(\"[Sim]\")","SGsizex - Num 0 HyperPar.append(50) # SGsizey - Num 1 HyperPar.append(50) # SGsizez","- Num 2 HyperPar.append(int(7)) # Search_x - Num 3 HyperPar.append(int(7)) # Search_y -","LearningRate = np.around(((MaxLR - MinLR)/StepLR)*(StepLR - cuos) + MaxLR, decimals=7) start_time_1 = time.time()","decimals=7) start_time_1 = time.time() print (\"Cicle: {}\".format(indTrain+PointStart), \"Learning Rate: \", LearningRate) TempSimGrid =","int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) LocFile = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocFile","TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=5, Training=True, Padding=True) print(\"[Sim]\") TempSimGrid.Simulate_4ConvNets_BN_3D(LocModel=LocModel, Cicle=(indTrain+PointStart), Plot=True) print(\"[Saving Grid]\")","#LocModel = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) LocFile = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]),","\"IP: \", int(HyperPar[6]),\"x\",int(HyperPar[7]),\"x\",int(HyperPar[8])) Ncicles = 500 Nepoch = 1 #Nbatch = 250 Nsamples","int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) LocFile = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocFile = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]),","TempSimGrid.SavePlot(name=LocModel+'_TI.png', Level=1) MaxLR, MinLR = 0.01, 0.001 StepLR = 10 PointStart = 1","int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) LocFile = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocFile =","ind0 in range(1): start_time_AllTrain = time.time() HyperPar = [] HyperPar.append(50) # SGsizex -","The code is not free of bugs but running end-to-end. Any comments and","DBname=TrainingImage, Lvl=5, Training=True, Padding=True) print(\"[Sim]\") TempSimGrid.Simulate_4ConvNets_BN_3D(LocModel=LocModel, Cicle=(indTrain+PointStart), Plot=True) print(\"[Saving Grid]\") TempSimGrid.SaveGrid(file=\"{}/TrainReas_{}.txt\".format(LocFile, indTrain+PointStart)) print(\"[Train]\")","- Queen's University - Canada\"\"\" # Do not display the AVX message about","convdepth - Num 13 HyperPar.append(2) # num of categories - Num 14 print(\"SG:","Num 9 .. divided by 3 so 1% is 10 represents 1% HyperPar.append(1)","Nsamples = 512 TrainingImage = \"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\" LocModel = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13]))","- Num 7 HyperPar.append(int(7)) # IPsizez - Num 8 HyperPar.append(50) # Percentage of","- start_time_1), decimals=2))) gc.collect() print(\" \") print(\"--%s minutes of ALL training-\" % ((time.time()","SGsizey - Num 1 HyperPar.append(50) # SGsizez - Num 2 HyperPar.append(int(7)) # Search_x","the Geometallurygical Group at Queen's University as part of a PhD program. The","print(\"[Graph]\") #fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D_NoBN(HyperPar=HyperPar, LocModel=LocModel) fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D(HyperPar=HyperPar, LocModel=LocModel) # To save the TI TempSimGrid = fns_nested.Grid(HyperPar=HyperPar,","AVX message about using GPU import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' #from tensorflow.python.client import","(\"Cicle: {}\".format(indTrain+PointStart), \"Learning Rate: \", LearningRate) TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=5, Training=True, Padding=True)","Num Fully Connected - Num 11 HyperPar.append(3) # wdnh - Num 12 HyperPar.append(16)","Any comments and further improvements are well recevied to: <EMAIL> April 16, 2019.","to perform MPS in 3D for categorical variables. It has been developed by","'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocFile = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13]))","start_time_1), decimals=2))) gc.collect() print(\" \") print(\"--%s minutes of ALL training-\" % ((time.time() -","are well recevied to: <EMAIL> April 16, 2019. Geomet Group - Queen's University","time.time() print (\"Cicle: {}\".format(indTrain+PointStart), \"Learning Rate: \", LearningRate) TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=5,","LocModel=LocModel) # To save the TI TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=3,Training=False, Padding=True) TempSimGrid.SavePlot(name=LocModel+'_TI.png',","Num 3 HyperPar.append(int(7)) # Search_y - Num 4 HyperPar.append(int(7)) # Search_z - Num","improvements are well recevied to: <EMAIL> April 16, 2019. Geomet Group - Queen's","int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocModel = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) LocFile = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]),","- Num 3 HyperPar.append(int(7)) # Search_y - Num 4 HyperPar.append(int(7)) # Search_z -","HyperPar.append(int(7)) # Search_x - Num 3 HyperPar.append(int(7)) # Search_y - Num 4 HyperPar.append(int(7))","- Num 12 HyperPar.append(16) # convdepth - Num 13 HyperPar.append(2) # num of","8 HyperPar.append(50) # Percentage of Data Conditioning - Num 9 .. divided by","np.around(((MaxLR - MinLR)/StepLR)*(StepLR - cuos) + MaxLR, decimals=7) start_time_1 = time.time() print (\"Cicle:","of whole training process-\" % (np.around((time.time() - start_time_1), decimals=2))) gc.collect() print(\" \") print(\"--%s","been developed by <NAME> and <NAME> in the Geometallurygical Group at Queen's University","not free of bugs but running end-to-end. Any comments and further improvements are","by 3 so 1% is 10 represents 1% HyperPar.append(1) # MinDC - Num","MaxLR, decimals=7) start_time_1 = time.time() print (\"Cicle: {}\".format(indTrain+PointStart), \"Learning Rate: \", LearningRate) TempSimGrid","comments and further improvements are well recevied to: <EMAIL> April 16, 2019. Geomet","= 1 for indTrain in range(Ncicles): #HyperPar[9] = np.random.randint(41)+10 cuos = indTrain%(2*StepLR) if","import time import External_Functions_3D as fns_nested import gc for ind0 in range(1): start_time_AllTrain","1.0 of the RCNN approach to perform MPS in 3D for categorical variables.","'2' #from tensorflow.python.client import device_lib #print(device_lib.list_local_devices()) #os.environ[\"CUDA_DEVICE_ORDER\"]=\"PCI_BUS_ID\" # see issue #152 #os.environ[\"CUDA_VISIBLE_DEVICES\"]=\"0\" ##","MinLR = 0.01, 0.001 StepLR = 10 PointStart = 1 for indTrain in","cuos < StepLR: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*cuos + MinLR, decimals=7) else: LearningRate","tensorflow.python.client import device_lib #print(device_lib.list_local_devices()) #os.environ[\"CUDA_DEVICE_ORDER\"]=\"PCI_BUS_ID\" # see issue #152 #os.environ[\"CUDA_VISIBLE_DEVICES\"]=\"0\" ## ######################### import","using GPU import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' #from tensorflow.python.client import device_lib #print(device_lib.list_local_devices()) #os.environ[\"CUDA_DEVICE_ORDER\"]=\"PCI_BUS_ID\"","#HyperPar[9] = np.random.randint(41)+10 cuos = indTrain%(2*StepLR) if cuos < StepLR: LearningRate = np.around(((MaxLR","present code is the Version 1.0 of the RCNN approach to perform MPS","np.random.randint(41)+10 cuos = indTrain%(2*StepLR) if cuos < StepLR: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*cuos","int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocFile = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) print(\"[Graph]\") #fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D_NoBN(HyperPar=HyperPar,","see issue #152 #os.environ[\"CUDA_VISIBLE_DEVICES\"]=\"0\" ## ######################### import numpy as np import tensorflow as","for categorical variables. It has been developed by <NAME> and <NAME> in the","HyperPar.append(3) # wdnh - Num 12 HyperPar.append(16) # convdepth - Num 13 HyperPar.append(2)","= 250 Nsamples = 512 TrainingImage = \"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\" LocModel = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]),","HyperPar.append(int(7)) # IPsizey - Num 7 HyperPar.append(int(7)) # IPsizez - Num 8 HyperPar.append(50)","= '2' #from tensorflow.python.client import device_lib #print(device_lib.list_local_devices()) #os.environ[\"CUDA_DEVICE_ORDER\"]=\"PCI_BUS_ID\" # see issue #152 #os.environ[\"CUDA_VISIBLE_DEVICES\"]=\"0\"","variables. It has been developed by <NAME> and <NAME> in the Geometallurygical Group","[] HyperPar.append(50) # SGsizex - Num 0 HyperPar.append(50) # SGsizey - Num 1","2 HyperPar.append(int(7)) # Search_x - Num 3 HyperPar.append(int(7)) # Search_y - Num 4","= 512 TrainingImage = \"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\" LocModel = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocModel","7 HyperPar.append(int(7)) # IPsizez - Num 8 HyperPar.append(50) # Percentage of Data Conditioning","# Num Fully Connected - Num 11 HyperPar.append(3) # wdnh - Num 12","tf import time import External_Functions_3D as fns_nested import gc for ind0 in range(1):","Num 4 HyperPar.append(int(7)) # Search_z - Num 5 HyperPar.append(int(7)) # IPsizex - Num","= fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=5, Training=True, Padding=True) print(\"[Sim]\") TempSimGrid.Simulate_4ConvNets_BN_3D(LocModel=LocModel, Cicle=(indTrain+PointStart), Plot=True) print(\"[Saving Grid]\") TempSimGrid.SaveGrid(file=\"{}/TrainReas_{}.txt\".format(LocFile,","# SGsizex - Num 0 HyperPar.append(50) # SGsizey - Num 1 HyperPar.append(50) #","int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocModel = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) LocFile","categorical variables. It has been developed by <NAME> and <NAME> in the Geometallurygical","os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' #from tensorflow.python.client import device_lib #print(device_lib.list_local_devices()) #os.environ[\"CUDA_DEVICE_ORDER\"]=\"PCI_BUS_ID\" # see issue","display the AVX message about using GPU import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' #from","the TI TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=3,Training=False, Padding=True) TempSimGrid.SavePlot(name=LocModel+'_TI.png', Level=1) MaxLR, MinLR =","Conditioning - Num 9 .. divided by 3 so 1% is 10 represents","- MinLR)/StepLR)*cuos + MinLR, decimals=7) else: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*(StepLR - cuos)","HyperPar = [] HyperPar.append(50) # SGsizex - Num 0 HyperPar.append(50) # SGsizey -","= 1 #Nbatch = 250 Nsamples = 512 TrainingImage = \"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\" LocModel =","GPU import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' #from tensorflow.python.client import device_lib #print(device_lib.list_local_devices()) #os.environ[\"CUDA_DEVICE_ORDER\"]=\"PCI_BUS_ID\" #","HyperPar.append(2) # num of categories - Num 14 print(\"SG: \", int(HyperPar[3]),\"x\",int(HyperPar[4]),\"x\",int(HyperPar[5]), \"IP: \",","Num 1 HyperPar.append(50) # SGsizez - Num 2 HyperPar.append(int(7)) # Search_x - Num","process-\" % (np.around((time.time() - start_time_1), decimals=2))) gc.collect() print(\" \") print(\"--%s minutes of ALL","13 HyperPar.append(2) # num of categories - Num 14 print(\"SG: \", int(HyperPar[3]),\"x\",int(HyperPar[4]),\"x\",int(HyperPar[5]), \"IP:","int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocFile = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) print(\"[Graph]\") #fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D_NoBN(HyperPar=HyperPar, LocModel=LocModel)","(np.around((time.time() - start_time_1), decimals=2))) gc.collect() print(\" \") print(\"--%s minutes of ALL training-\" %","print(\"[Train]\") TempSimGrid.Train_4ConvNets_BN_3D(Epochs=Nepoch, Num_samples=Nsamples, LocModel=LocModel, LR=LearningRate) print(\"--%s seconds of whole training process-\" % (np.around((time.time()","TI TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=3,Training=False, Padding=True) TempSimGrid.SavePlot(name=LocModel+'_TI.png', Level=1) MaxLR, MinLR = 0.01,","Search_x - Num 3 HyperPar.append(int(7)) # Search_y - Num 4 HyperPar.append(int(7)) # Search_z","Version 1.0 of the RCNN approach to perform MPS in 3D for categorical","decimals=7) else: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*(StepLR - cuos) + MaxLR, decimals=7) start_time_1","= 0.01, 0.001 StepLR = 10 PointStart = 1 for indTrain in range(Ncicles):","LocFile = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocFile = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]),","cuos) + MaxLR, decimals=7) start_time_1 = time.time() print (\"Cicle: {}\".format(indTrain+PointStart), \"Learning Rate: \",","Percentage of Data Conditioning - Num 9 .. divided by 3 so 1%","Rate: \", LearningRate) TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=5, Training=True, Padding=True) print(\"[Sim]\") TempSimGrid.Simulate_4ConvNets_BN_3D(LocModel=LocModel, Cicle=(indTrain+PointStart),","import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' #from tensorflow.python.client import device_lib #print(device_lib.list_local_devices()) #os.environ[\"CUDA_DEVICE_ORDER\"]=\"PCI_BUS_ID\" # see","HyperPar.append(50) # SGsizey - Num 1 HyperPar.append(50) # SGsizez - Num 2 HyperPar.append(int(7))","= 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocModel = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]),","# Search_x - Num 3 HyperPar.append(int(7)) # Search_y - Num 4 HyperPar.append(int(7)) #","Ncicles = 500 Nepoch = 1 #Nbatch = 250 Nsamples = 512 TrainingImage","bugs but running end-to-end. Any comments and further improvements are well recevied to:","seconds of whole training process-\" % (np.around((time.time() - start_time_1), decimals=2))) gc.collect() print(\" \")","MinDC - Num 10 HyperPar.append(1500) # Num Fully Connected - Num 11 HyperPar.append(3)","int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) print(\"[Graph]\") #fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D_NoBN(HyperPar=HyperPar, LocModel=LocModel) fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D(HyperPar=HyperPar, LocModel=LocModel) # To save","4 HyperPar.append(int(7)) # Search_z - Num 5 HyperPar.append(int(7)) # IPsizex - Num 6","int(HyperPar[6]),\"x\",int(HyperPar[7]),\"x\",int(HyperPar[8])) Ncicles = 500 Nepoch = 1 #Nbatch = 250 Nsamples = 512","free of bugs but running end-to-end. Any comments and further improvements are well","HyperPar.append(int(7)) # IPsizex - Num 6 HyperPar.append(int(7)) # IPsizey - Num 7 HyperPar.append(int(7))","recevied to: <EMAIL> April 16, 2019. Geomet Group - Queen's University - Canada\"\"\"","Training=True, Padding=True) print(\"[Sim]\") TempSimGrid.Simulate_4ConvNets_BN_3D(LocModel=LocModel, Cicle=(indTrain+PointStart), Plot=True) print(\"[Saving Grid]\") TempSimGrid.SaveGrid(file=\"{}/TrainReas_{}.txt\".format(LocFile, indTrain+PointStart)) print(\"[Train]\") TempSimGrid.Train_4ConvNets_BN_3D(Epochs=Nepoch, Num_samples=Nsamples,","#print(device_lib.list_local_devices()) #os.environ[\"CUDA_DEVICE_ORDER\"]=\"PCI_BUS_ID\" # see issue #152 #os.environ[\"CUDA_VISIBLE_DEVICES\"]=\"0\" ## ######################### import numpy as np","time import External_Functions_3D as fns_nested import gc for ind0 in range(1): start_time_AllTrain =","else: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*(StepLR - cuos) + MaxLR, decimals=7) start_time_1 =","import gc for ind0 in range(1): start_time_AllTrain = time.time() HyperPar = [] HyperPar.append(50)","1% is 10 represents 1% HyperPar.append(1) # MinDC - Num 10 HyperPar.append(1500) #","'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) print(\"[Graph]\") #fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D_NoBN(HyperPar=HyperPar, LocModel=LocModel) fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D(HyperPar=HyperPar, LocModel=LocModel) # To","To save the TI TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=3,Training=False, Padding=True) TempSimGrid.SavePlot(name=LocModel+'_TI.png', Level=1) MaxLR,","< StepLR: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*cuos + MinLR, decimals=7) else: LearningRate =","500 Nepoch = 1 #Nbatch = 250 Nsamples = 512 TrainingImage = \"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\"","Search_y - Num 4 HyperPar.append(int(7)) # Search_z - Num 5 HyperPar.append(int(7)) # IPsizex","University - Canada\"\"\" # Do not display the AVX message about using GPU","#152 #os.environ[\"CUDA_VISIBLE_DEVICES\"]=\"0\" ## ######################### import numpy as np import tensorflow as tf import","## ######################### import numpy as np import tensorflow as tf import time import","HyperPar.append(int(7)) # Search_z - Num 5 HyperPar.append(int(7)) # IPsizex - Num 6 HyperPar.append(int(7))","\"Learning Rate: \", LearningRate) TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=5, Training=True, Padding=True) print(\"[Sim]\") TempSimGrid.Simulate_4ConvNets_BN_3D(LocModel=LocModel,","time.time() HyperPar = [] HyperPar.append(50) # SGsizex - Num 0 HyperPar.append(50) # SGsizey","- Num 4 HyperPar.append(int(7)) # Search_z - Num 5 HyperPar.append(int(7)) # IPsizex -","0.01, 0.001 StepLR = 10 PointStart = 1 for indTrain in range(Ncicles): #HyperPar[9]","= 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocFile = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]),","IPsizey - Num 7 HyperPar.append(int(7)) # IPsizez - Num 8 HyperPar.append(50) # Percentage","#from tensorflow.python.client import device_lib #print(device_lib.list_local_devices()) #os.environ[\"CUDA_DEVICE_ORDER\"]=\"PCI_BUS_ID\" # see issue #152 #os.environ[\"CUDA_VISIBLE_DEVICES\"]=\"0\" ## #########################","start_time_AllTrain = time.time() HyperPar = [] HyperPar.append(50) # SGsizex - Num 0 HyperPar.append(50)","int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocModel = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) LocFile =","numpy as np import tensorflow as tf import time import External_Functions_3D as fns_nested","11 HyperPar.append(3) # wdnh - Num 12 HyperPar.append(16) # convdepth - Num 13","2019. Geomet Group - Queen's University - Canada\"\"\" # Do not display the","16, 2019. Geomet Group - Queen's University - Canada\"\"\" # Do not display","has been developed by <NAME> and <NAME> in the Geometallurygical Group at Queen's","about using GPU import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' #from tensorflow.python.client import device_lib #print(device_lib.list_local_devices())","print (\"Cicle: {}\".format(indTrain+PointStart), \"Learning Rate: \", LearningRate) TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=5, Training=True,","LearningRate) TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=5, Training=True, Padding=True) print(\"[Sim]\") TempSimGrid.Simulate_4ConvNets_BN_3D(LocModel=LocModel, Cicle=(indTrain+PointStart), Plot=True) print(\"[Saving","is the Version 1.0 of the RCNN approach to perform MPS in 3D","int(HyperPar[3]),\"x\",int(HyperPar[4]),\"x\",int(HyperPar[5]), \"IP: \", int(HyperPar[6]),\"x\",int(HyperPar[7]),\"x\",int(HyperPar[8])) Ncicles = 500 Nepoch = 1 #Nbatch = 250","'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) LocFile = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13]))","3 HyperPar.append(int(7)) # Search_y - Num 4 HyperPar.append(int(7)) # Search_z - Num 5","LearningRate = np.around(((MaxLR - MinLR)/StepLR)*cuos + MinLR, decimals=7) else: LearningRate = np.around(((MaxLR -","= [] HyperPar.append(50) # SGsizex - Num 0 HyperPar.append(50) # SGsizey - Num","IPsizez - Num 8 HyperPar.append(50) # Percentage of Data Conditioning - Num 9","# Search_y - Num 4 HyperPar.append(int(7)) # Search_z - Num 5 HyperPar.append(int(7)) #","training process-\" % (np.around((time.time() - start_time_1), decimals=2))) gc.collect() print(\" \") print(\"--%s minutes of","not display the AVX message about using GPU import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'","1 #Nbatch = 250 Nsamples = 512 TrainingImage = \"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\" LocModel = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]),","# SGsizey - Num 1 HyperPar.append(50) # SGsizez - Num 2 HyperPar.append(int(7)) #","LocModel=LocModel, LR=LearningRate) print(\"--%s seconds of whole training process-\" % (np.around((time.time() - start_time_1), decimals=2)))","np import tensorflow as tf import time import External_Functions_3D as fns_nested import gc","HyperPar.append(50) # SGsizex - Num 0 HyperPar.append(50) # SGsizey - Num 1 HyperPar.append(50)","- Num 1 HyperPar.append(50) # SGsizez - Num 2 HyperPar.append(int(7)) # Search_x -","LocModel = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocModel = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]),","10 PointStart = 1 for indTrain in range(Ncicles): #HyperPar[9] = np.random.randint(41)+10 cuos =","developed by <NAME> and <NAME> in the Geometallurygical Group at Queen's University as","fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=5, Training=True, Padding=True) print(\"[Sim]\") TempSimGrid.Simulate_4ConvNets_BN_3D(LocModel=LocModel, Cicle=(indTrain+PointStart), Plot=True) print(\"[Saving Grid]\") TempSimGrid.SaveGrid(file=\"{}/TrainReas_{}.txt\".format(LocFile, indTrain+PointStart))","14 print(\"SG: \", int(HyperPar[3]),\"x\",int(HyperPar[4]),\"x\",int(HyperPar[5]), \"IP: \", int(HyperPar[6]),\"x\",int(HyperPar[7]),\"x\",int(HyperPar[8])) Ncicles = 500 Nepoch = 1","int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) print(\"[Graph]\") #fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D_NoBN(HyperPar=HyperPar, LocModel=LocModel) fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D(HyperPar=HyperPar, LocModel=LocModel) # To save the TI","os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' #from tensorflow.python.client import device_lib #print(device_lib.list_local_devices()) #os.environ[\"CUDA_DEVICE_ORDER\"]=\"PCI_BUS_ID\" # see issue #152","# convdepth - Num 13 HyperPar.append(2) # num of categories - Num 14","- Num 6 HyperPar.append(int(7)) # IPsizey - Num 7 HyperPar.append(int(7)) # IPsizez -","of the RCNN approach to perform MPS in 3D for categorical variables. It","import device_lib #print(device_lib.list_local_devices()) #os.environ[\"CUDA_DEVICE_ORDER\"]=\"PCI_BUS_ID\" # see issue #152 #os.environ[\"CUDA_VISIBLE_DEVICES\"]=\"0\" ## ######################### import numpy","Num 8 HyperPar.append(50) # Percentage of Data Conditioning - Num 9 .. divided","Lvl=3,Training=False, Padding=True) TempSimGrid.SavePlot(name=LocModel+'_TI.png', Level=1) MaxLR, MinLR = 0.01, 0.001 StepLR = 10 PointStart","<EMAIL> April 16, 2019. Geomet Group - Queen's University - Canada\"\"\" # Do","MPS in 3D for categorical variables. It has been developed by <NAME> and","Num 13 HyperPar.append(2) # num of categories - Num 14 print(\"SG: \", int(HyperPar[3]),\"x\",int(HyperPar[4]),\"x\",int(HyperPar[5]),","if cuos < StepLR: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*cuos + MinLR, decimals=7) else:","part of a PhD program. The code is not free of bugs but","= time.time() HyperPar = [] HyperPar.append(50) # SGsizex - Num 0 HyperPar.append(50) #","print(\"[Sim]\") TempSimGrid.Simulate_4ConvNets_BN_3D(LocModel=LocModel, Cicle=(indTrain+PointStart), Plot=True) print(\"[Saving Grid]\") TempSimGrid.SaveGrid(file=\"{}/TrainReas_{}.txt\".format(LocFile, indTrain+PointStart)) print(\"[Train]\") TempSimGrid.Train_4ConvNets_BN_3D(Epochs=Nepoch, Num_samples=Nsamples, LocModel=LocModel, LR=LearningRate)","Group at Queen's University as part of a PhD program. The code is","Queen's University as part of a PhD program. The code is not free","0.001 StepLR = 10 PointStart = 1 for indTrain in range(Ncicles): #HyperPar[9] =","% (np.around((time.time() - start_time_1), decimals=2))) gc.collect() print(\" \") print(\"--%s minutes of ALL training-\"","MinLR)/StepLR)*(StepLR - cuos) + MaxLR, decimals=7) start_time_1 = time.time() print (\"Cicle: {}\".format(indTrain+PointStart), \"Learning","int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocFile = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) print(\"[Graph]\")","int(HyperPar[13])) #LocFile = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) print(\"[Graph]\") #fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D_NoBN(HyperPar=HyperPar, LocModel=LocModel) fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D(HyperPar=HyperPar,","code is the Version 1.0 of the RCNN approach to perform MPS in","device_lib #print(device_lib.list_local_devices()) #os.environ[\"CUDA_DEVICE_ORDER\"]=\"PCI_BUS_ID\" # see issue #152 #os.environ[\"CUDA_VISIBLE_DEVICES\"]=\"0\" ## ######################### import numpy as","as np import tensorflow as tf import time import External_Functions_3D as fns_nested import","Num 10 HyperPar.append(1500) # Num Fully Connected - Num 11 HyperPar.append(3) # wdnh","- MinLR)/StepLR)*(StepLR - cuos) + MaxLR, decimals=7) start_time_1 = time.time() print (\"Cicle: {}\".format(indTrain+PointStart),","- Num 11 HyperPar.append(3) # wdnh - Num 12 HyperPar.append(16) # convdepth -","= fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=3,Training=False, Padding=True) TempSimGrid.SavePlot(name=LocModel+'_TI.png', Level=1) MaxLR, MinLR = 0.01, 0.001 StepLR","the RCNN approach to perform MPS in 3D for categorical variables. It has","indTrain%(2*StepLR) if cuos < StepLR: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*cuos + MinLR, decimals=7)","+ MaxLR, decimals=7) start_time_1 = time.time() print (\"Cicle: {}\".format(indTrain+PointStart), \"Learning Rate: \", LearningRate)","range(1): start_time_AllTrain = time.time() HyperPar = [] HyperPar.append(50) # SGsizex - Num 0","Num 2 HyperPar.append(int(7)) # Search_x - Num 3 HyperPar.append(int(7)) # Search_y - Num","HyperPar.append(1) # MinDC - Num 10 HyperPar.append(1500) # Num Fully Connected - Num","HyperPar.append(1500) # Num Fully Connected - Num 11 HyperPar.append(3) # wdnh - Num","print(\"--%s seconds of whole training process-\" % (np.around((time.time() - start_time_1), decimals=2))) gc.collect() print(\"","Canada\"\"\" # Do not display the AVX message about using GPU import os","import External_Functions_3D as fns_nested import gc for ind0 in range(1): start_time_AllTrain = time.time()","HyperPar.append(50) # Percentage of Data Conditioning - Num 9 .. divided by 3","int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) print(\"[Graph]\") #fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D_NoBN(HyperPar=HyperPar, LocModel=LocModel) fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D(HyperPar=HyperPar, LocModel=LocModel) # To save the TI TempSimGrid","tensorflow as tf import time import External_Functions_3D as fns_nested import gc for ind0","IPsizex - Num 6 HyperPar.append(int(7)) # IPsizey - Num 7 HyperPar.append(int(7)) # IPsizez",".. divided by 3 so 1% is 10 represents 1% HyperPar.append(1) # MinDC","and further improvements are well recevied to: <EMAIL> April 16, 2019. Geomet Group","well recevied to: <EMAIL> April 16, 2019. Geomet Group - Queen's University -","Num 14 print(\"SG: \", int(HyperPar[3]),\"x\",int(HyperPar[4]),\"x\",int(HyperPar[5]), \"IP: \", int(HyperPar[6]),\"x\",int(HyperPar[7]),\"x\",int(HyperPar[8])) Ncicles = 500 Nepoch =","= 500 Nepoch = 1 #Nbatch = 250 Nsamples = 512 TrainingImage =","# wdnh - Num 12 HyperPar.append(16) # convdepth - Num 13 HyperPar.append(2) #","PhD program. The code is not free of bugs but running end-to-end. Any","to: <EMAIL> April 16, 2019. Geomet Group - Queen's University - Canada\"\"\" #","- Num 10 HyperPar.append(1500) # Num Fully Connected - Num 11 HyperPar.append(3) #","= 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) print(\"[Graph]\") #fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D_NoBN(HyperPar=HyperPar, LocModel=LocModel) fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D(HyperPar=HyperPar, LocModel=LocModel) #","#fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D_NoBN(HyperPar=HyperPar, LocModel=LocModel) fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D(HyperPar=HyperPar, LocModel=LocModel) # To save the TI TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage,","SGsizez - Num 2 HyperPar.append(int(7)) # Search_x - Num 3 HyperPar.append(int(7)) # Search_y","for ind0 in range(1): start_time_AllTrain = time.time() HyperPar = [] HyperPar.append(50) # SGsizex","int(HyperPar[13])) LocFile = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocFile = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]),","April 16, 2019. Geomet Group - Queen's University - Canada\"\"\" # Do not","Queen's University - Canada\"\"\" # Do not display the AVX message about using","num of categories - Num 14 print(\"SG: \", int(HyperPar[3]),\"x\",int(HyperPar[4]),\"x\",int(HyperPar[5]), \"IP: \", int(HyperPar[6]),\"x\",int(HyperPar[7]),\"x\",int(HyperPar[8])) Ncicles","1 for indTrain in range(Ncicles): #HyperPar[9] = np.random.randint(41)+10 cuos = indTrain%(2*StepLR) if cuos","range(Ncicles): #HyperPar[9] = np.random.randint(41)+10 cuos = indTrain%(2*StepLR) if cuos < StepLR: LearningRate =","+ MinLR, decimals=7) else: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*(StepLR - cuos) + MaxLR,","Plot=True) print(\"[Saving Grid]\") TempSimGrid.SaveGrid(file=\"{}/TrainReas_{}.txt\".format(LocFile, indTrain+PointStart)) print(\"[Train]\") TempSimGrid.Train_4ConvNets_BN_3D(Epochs=Nepoch, Num_samples=Nsamples, LocModel=LocModel, LR=LearningRate) print(\"--%s seconds of","6 HyperPar.append(int(7)) # IPsizey - Num 7 HyperPar.append(int(7)) # IPsizez - Num 8","of a PhD program. The code is not free of bugs but running","- Num 8 HyperPar.append(50) # Percentage of Data Conditioning - Num 9 ..","save the TI TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=3,Training=False, Padding=True) TempSimGrid.SavePlot(name=LocModel+'_TI.png', Level=1) MaxLR, MinLR","- Num 0 HyperPar.append(50) # SGsizey - Num 1 HyperPar.append(50) # SGsizez -","message about using GPU import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' #from tensorflow.python.client import device_lib","= time.time() print (\"Cicle: {}\".format(indTrain+PointStart), \"Learning Rate: \", LearningRate) TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage,","Num 6 HyperPar.append(int(7)) # IPsizey - Num 7 HyperPar.append(int(7)) # IPsizez - Num","fns_nested import gc for ind0 in range(1): start_time_AllTrain = time.time() HyperPar = []","\", int(HyperPar[6]),\"x\",int(HyperPar[7]),\"x\",int(HyperPar[8])) Ncicles = 500 Nepoch = 1 #Nbatch = 250 Nsamples =","# see issue #152 #os.environ[\"CUDA_VISIBLE_DEVICES\"]=\"0\" ## ######################### import numpy as np import tensorflow","# To save the TI TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=3,Training=False, Padding=True) TempSimGrid.SavePlot(name=LocModel+'_TI.png', Level=1)","250 Nsamples = 512 TrainingImage = \"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\" LocModel = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]),","HyperPar.append(50) # SGsizez - Num 2 HyperPar.append(int(7)) # Search_x - Num 3 HyperPar.append(int(7))","the AVX message about using GPU import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' #from tensorflow.python.client","Geometallurygical Group at Queen's University as part of a PhD program. The code","of categories - Num 14 print(\"SG: \", int(HyperPar[3]),\"x\",int(HyperPar[4]),\"x\",int(HyperPar[5]), \"IP: \", int(HyperPar[6]),\"x\",int(HyperPar[7]),\"x\",int(HyperPar[8])) Ncicles =","Num_samples=Nsamples, LocModel=LocModel, LR=LearningRate) print(\"--%s seconds of whole training process-\" % (np.around((time.time() - start_time_1),","#os.environ[\"CUDA_VISIBLE_DEVICES\"]=\"0\" ## ######################### import numpy as np import tensorflow as tf import time","TempSimGrid.SaveGrid(file=\"{}/TrainReas_{}.txt\".format(LocFile, indTrain+PointStart)) print(\"[Train]\") TempSimGrid.Train_4ConvNets_BN_3D(Epochs=Nepoch, Num_samples=Nsamples, LocModel=LocModel, LR=LearningRate) print(\"--%s seconds of whole training process-\"","- Num 14 print(\"SG: \", int(HyperPar[3]),\"x\",int(HyperPar[4]),\"x\",int(HyperPar[5]), \"IP: \", int(HyperPar[6]),\"x\",int(HyperPar[7]),\"x\",int(HyperPar[8])) Ncicles = 500 Nepoch","Num 7 HyperPar.append(int(7)) # IPsizez - Num 8 HyperPar.append(50) # Percentage of Data","Lvl=5, Training=True, Padding=True) print(\"[Sim]\") TempSimGrid.Simulate_4ConvNets_BN_3D(LocModel=LocModel, Cicle=(indTrain+PointStart), Plot=True) print(\"[Saving Grid]\") TempSimGrid.SaveGrid(file=\"{}/TrainReas_{}.txt\".format(LocFile, indTrain+PointStart)) print(\"[Train]\") TempSimGrid.Train_4ConvNets_BN_3D(Epochs=Nepoch,","in range(1): start_time_AllTrain = time.time() HyperPar = [] HyperPar.append(50) # SGsizex - Num","Data Conditioning - Num 9 .. divided by 3 so 1% is 10","# IPsizex - Num 6 HyperPar.append(int(7)) # IPsizey - Num 7 HyperPar.append(int(7)) #","It has been developed by <NAME> and <NAME> in the Geometallurygical Group at","- Canada\"\"\" # Do not display the AVX message about using GPU import","3 so 1% is 10 represents 1% HyperPar.append(1) # MinDC - Num 10","issue #152 #os.environ[\"CUDA_VISIBLE_DEVICES\"]=\"0\" ## ######################### import numpy as np import tensorflow as tf","np.around(((MaxLR - MinLR)/StepLR)*cuos + MinLR, decimals=7) else: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*(StepLR -","represents 1% HyperPar.append(1) # MinDC - Num 10 HyperPar.append(1500) # Num Fully Connected","= 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) LocFile = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]),","so 1% is 10 represents 1% HyperPar.append(1) # MinDC - Num 10 HyperPar.append(1500)","perform MPS in 3D for categorical variables. It has been developed by <NAME>","# Search_z - Num 5 HyperPar.append(int(7)) # IPsizex - Num 6 HyperPar.append(int(7)) #","at Queen's University as part of a PhD program. The code is not","0 HyperPar.append(50) # SGsizey - Num 1 HyperPar.append(50) # SGsizez - Num 2","512 TrainingImage = \"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\" LocModel = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocModel =","in the Geometallurygical Group at Queen's University as part of a PhD program.","int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) LocFile = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocFile = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[9]),","start_time_1 = time.time() print (\"Cicle: {}\".format(indTrain+PointStart), \"Learning Rate: \", LearningRate) TempSimGrid = fns_nested.Grid(HyperPar=HyperPar,","University as part of a PhD program. The code is not free of","Num 5 HyperPar.append(int(7)) # IPsizex - Num 6 HyperPar.append(int(7)) # IPsizey - Num","\", LearningRate) TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=5, Training=True, Padding=True) print(\"[Sim]\") TempSimGrid.Simulate_4ConvNets_BN_3D(LocModel=LocModel, Cicle=(indTrain+PointStart), Plot=True)","1% HyperPar.append(1) # MinDC - Num 10 HyperPar.append(1500) # Num Fully Connected -","int(HyperPar[13])) #LocModel = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) LocFile = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]),","Level=1) MaxLR, MinLR = 0.01, 0.001 StepLR = 10 PointStart = 1 for","MaxLR, MinLR = 0.01, 0.001 StepLR = 10 PointStart = 1 for indTrain","indTrain+PointStart)) print(\"[Train]\") TempSimGrid.Train_4ConvNets_BN_3D(Epochs=Nepoch, Num_samples=Nsamples, LocModel=LocModel, LR=LearningRate) print(\"--%s seconds of whole training process-\" %","= np.random.randint(41)+10 cuos = indTrain%(2*StepLR) if cuos < StepLR: LearningRate = np.around(((MaxLR -","end-to-end. Any comments and further improvements are well recevied to: <EMAIL> April 16,","as tf import time import External_Functions_3D as fns_nested import gc for ind0 in","Do not display the AVX message about using GPU import os os.environ['TF_CPP_MIN_LOG_LEVEL'] =","wdnh - Num 12 HyperPar.append(16) # convdepth - Num 13 HyperPar.append(2) # num","Padding=True) TempSimGrid.SavePlot(name=LocModel+'_TI.png', Level=1) MaxLR, MinLR = 0.01, 0.001 StepLR = 10 PointStart =","10 represents 1% HyperPar.append(1) # MinDC - Num 10 HyperPar.append(1500) # Num Fully","\"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\" LocModel = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocModel = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]),","HyperPar.append(16) # convdepth - Num 13 HyperPar.append(2) # num of categories - Num","= np.around(((MaxLR - MinLR)/StepLR)*cuos + MinLR, decimals=7) else: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*(StepLR","for indTrain in range(Ncicles): #HyperPar[9] = np.random.randint(41)+10 cuos = indTrain%(2*StepLR) if cuos <","Search_z - Num 5 HyperPar.append(int(7)) # IPsizex - Num 6 HyperPar.append(int(7)) # IPsizey","10 HyperPar.append(1500) # Num Fully Connected - Num 11 HyperPar.append(3) # wdnh -","<NAME> in the Geometallurygical Group at Queen's University as part of a PhD","#os.environ[\"CUDA_DEVICE_ORDER\"]=\"PCI_BUS_ID\" # see issue #152 #os.environ[\"CUDA_VISIBLE_DEVICES\"]=\"0\" ## ######################### import numpy as np import","import numpy as np import tensorflow as tf import time import External_Functions_3D as","is not free of bugs but running end-to-end. Any comments and further improvements","Connected - Num 11 HyperPar.append(3) # wdnh - Num 12 HyperPar.append(16) # convdepth","StepLR: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*cuos + MinLR, decimals=7) else: LearningRate = np.around(((MaxLR","print(\"[Saving Grid]\") TempSimGrid.SaveGrid(file=\"{}/TrainReas_{}.txt\".format(LocFile, indTrain+PointStart)) print(\"[Train]\") TempSimGrid.Train_4ConvNets_BN_3D(Epochs=Nepoch, Num_samples=Nsamples, LocModel=LocModel, LR=LearningRate) print(\"--%s seconds of whole","whole training process-\" % (np.around((time.time() - start_time_1), decimals=2))) gc.collect() print(\" \") print(\"--%s minutes","# SGsizez - Num 2 HyperPar.append(int(7)) # Search_x - Num 3 HyperPar.append(int(7)) #","= 10 PointStart = 1 for indTrain in range(Ncicles): #HyperPar[9] = np.random.randint(41)+10 cuos","TempSimGrid.Train_4ConvNets_BN_3D(Epochs=Nepoch, Num_samples=Nsamples, LocModel=LocModel, LR=LearningRate) print(\"--%s seconds of whole training process-\" % (np.around((time.time() -","DBname=TrainingImage, Lvl=3,Training=False, Padding=True) TempSimGrid.SavePlot(name=LocModel+'_TI.png', Level=1) MaxLR, MinLR = 0.01, 0.001 StepLR = 10","LR=LearningRate) print(\"--%s seconds of whole training process-\" % (np.around((time.time() - start_time_1), decimals=2))) gc.collect()","Grid]\") TempSimGrid.SaveGrid(file=\"{}/TrainReas_{}.txt\".format(LocFile, indTrain+PointStart)) print(\"[Train]\") TempSimGrid.Train_4ConvNets_BN_3D(Epochs=Nepoch, Num_samples=Nsamples, LocModel=LocModel, LR=LearningRate) print(\"--%s seconds of whole training","Num 11 HyperPar.append(3) # wdnh - Num 12 HyperPar.append(16) # convdepth - Num","and <NAME> in the Geometallurygical Group at Queen's University as part of a","TrainingImage = \"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\" LocModel = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocModel = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[9]),","int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) print(\"[Graph]\") #fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D_NoBN(HyperPar=HyperPar, LocModel=LocModel) fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D(HyperPar=HyperPar, LocModel=LocModel) # To save the","# Percentage of Data Conditioning - Num 9 .. divided by 3 so","in range(Ncicles): #HyperPar[9] = np.random.randint(41)+10 cuos = indTrain%(2*StepLR) if cuos < StepLR: LearningRate","by <NAME> and <NAME> in the Geometallurygical Group at Queen's University as part","Group - Queen's University - Canada\"\"\" # Do not display the AVX message","= indTrain%(2*StepLR) if cuos < StepLR: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*cuos + MinLR,","= np.around(((MaxLR - MinLR)/StepLR)*(StepLR - cuos) + MaxLR, decimals=7) start_time_1 = time.time() print","- cuos) + MaxLR, decimals=7) start_time_1 = time.time() print (\"Cicle: {}\".format(indTrain+PointStart), \"Learning Rate:","Num 0 HyperPar.append(50) # SGsizey - Num 1 HyperPar.append(50) # SGsizez - Num","#Nbatch = 250 Nsamples = 512 TrainingImage = \"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\" LocModel = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]),","Cicle=(indTrain+PointStart), Plot=True) print(\"[Saving Grid]\") TempSimGrid.SaveGrid(file=\"{}/TrainReas_{}.txt\".format(LocFile, indTrain+PointStart)) print(\"[Train]\") TempSimGrid.Train_4ConvNets_BN_3D(Epochs=Nepoch, Num_samples=Nsamples, LocModel=LocModel, LR=LearningRate) print(\"--%s seconds","Padding=True) print(\"[Sim]\") TempSimGrid.Simulate_4ConvNets_BN_3D(LocModel=LocModel, Cicle=(indTrain+PointStart), Plot=True) print(\"[Saving Grid]\") TempSimGrid.SaveGrid(file=\"{}/TrainReas_{}.txt\".format(LocFile, indTrain+PointStart)) print(\"[Train]\") TempSimGrid.Train_4ConvNets_BN_3D(Epochs=Nepoch, Num_samples=Nsamples, LocModel=LocModel,","- Num 5 HyperPar.append(int(7)) # IPsizex - Num 6 HyperPar.append(int(7)) # IPsizey -","int(HyperPar[13])) print(\"[Graph]\") #fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D_NoBN(HyperPar=HyperPar, LocModel=LocModel) fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D(HyperPar=HyperPar, LocModel=LocModel) # To save the TI TempSimGrid =","StepLR = 10 PointStart = 1 for indTrain in range(Ncicles): #HyperPar[9] = np.random.randint(41)+10","cuos = indTrain%(2*StepLR) if cuos < StepLR: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*cuos +","in 3D for categorical variables. It has been developed by <NAME> and <NAME>","running end-to-end. Any comments and further improvements are well recevied to: <EMAIL> April","as fns_nested import gc for ind0 in range(1): start_time_AllTrain = time.time() HyperPar =","# IPsizez - Num 8 HyperPar.append(50) # Percentage of Data Conditioning - Num","HyperPar.append(int(7)) # Search_y - Num 4 HyperPar.append(int(7)) # Search_z - Num 5 HyperPar.append(int(7))","fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=3,Training=False, Padding=True) TempSimGrid.SavePlot(name=LocModel+'_TI.png', Level=1) MaxLR, MinLR = 0.01, 0.001 StepLR =","the Version 1.0 of the RCNN approach to perform MPS in 3D for","as part of a PhD program. The code is not free of bugs","fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D(HyperPar=HyperPar, LocModel=LocModel) # To save the TI TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=3,Training=False, Padding=True)","PointStart = 1 for indTrain in range(Ncicles): #HyperPar[9] = np.random.randint(41)+10 cuos = indTrain%(2*StepLR)","#LocFile = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) print(\"[Graph]\") #fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D_NoBN(HyperPar=HyperPar, LocModel=LocModel) fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D(HyperPar=HyperPar, LocModel=LocModel)","1 HyperPar.append(50) # SGsizez - Num 2 HyperPar.append(int(7)) # Search_x - Num 3","categories - Num 14 print(\"SG: \", int(HyperPar[3]),\"x\",int(HyperPar[4]),\"x\",int(HyperPar[5]), \"IP: \", int(HyperPar[6]),\"x\",int(HyperPar[7]),\"x\",int(HyperPar[8])) Ncicles = 500","import tensorflow as tf import time import External_Functions_3D as fns_nested import gc for","\"\"\"The present code is the Version 1.0 of the RCNN approach to perform","5 HyperPar.append(int(7)) # IPsizex - Num 6 HyperPar.append(int(7)) # IPsizey - Num 7","\", int(HyperPar[3]),\"x\",int(HyperPar[4]),\"x\",int(HyperPar[5]), \"IP: \", int(HyperPar[6]),\"x\",int(HyperPar[7]),\"x\",int(HyperPar[8])) Ncicles = 500 Nepoch = 1 #Nbatch =","Num 12 HyperPar.append(16) # convdepth - Num 13 HyperPar.append(2) # num of categories","# Do not display the AVX message about using GPU import os os.environ['TF_CPP_MIN_LOG_LEVEL']","# num of categories - Num 14 print(\"SG: \", int(HyperPar[3]),\"x\",int(HyperPar[4]),\"x\",int(HyperPar[5]), \"IP: \", int(HyperPar[6]),\"x\",int(HyperPar[7]),\"x\",int(HyperPar[8]))","HyperPar.append(int(7)) # IPsizez - Num 8 HyperPar.append(50) # Percentage of Data Conditioning -","is 10 represents 1% HyperPar.append(1) # MinDC - Num 10 HyperPar.append(1500) # Num","Fully Connected - Num 11 HyperPar.append(3) # wdnh - Num 12 HyperPar.append(16) #","further improvements are well recevied to: <EMAIL> April 16, 2019. Geomet Group -","# IPsizey - Num 7 HyperPar.append(int(7)) # IPsizez - Num 8 HyperPar.append(50) #","# MinDC - Num 10 HyperPar.append(1500) # Num Fully Connected - Num 11","12 HyperPar.append(16) # convdepth - Num 13 HyperPar.append(2) # num of categories -","indTrain in range(Ncicles): #HyperPar[9] = np.random.randint(41)+10 cuos = indTrain%(2*StepLR) if cuos < StepLR:","Geomet Group - Queen's University - Canada\"\"\" # Do not display the AVX","TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=3,Training=False, Padding=True) TempSimGrid.SavePlot(name=LocModel+'_TI.png', Level=1) MaxLR, MinLR = 0.01, 0.001","RCNN approach to perform MPS in 3D for categorical variables. It has been","<NAME> and <NAME> in the Geometallurygical Group at Queen's University as part of","TempSimGrid.Simulate_4ConvNets_BN_3D(LocModel=LocModel, Cicle=(indTrain+PointStart), Plot=True) print(\"[Saving Grid]\") TempSimGrid.SaveGrid(file=\"{}/TrainReas_{}.txt\".format(LocFile, indTrain+PointStart)) print(\"[Train]\") TempSimGrid.Train_4ConvNets_BN_3D(Epochs=Nepoch, Num_samples=Nsamples, LocModel=LocModel, LR=LearningRate) print(\"--%s","a PhD program. The code is not free of bugs but running end-to-end.","9 .. divided by 3 so 1% is 10 represents 1% HyperPar.append(1) #","approach to perform MPS in 3D for categorical variables. It has been developed","decimals=2))) gc.collect() print(\" \") print(\"--%s minutes of ALL training-\" % ((time.time() - start_time_AllTrain)/60))","External_Functions_3D as fns_nested import gc for ind0 in range(1): start_time_AllTrain = time.time() HyperPar","'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocModel = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13]))","- Num 13 HyperPar.append(2) # num of categories - Num 14 print(\"SG: \",","print(\"SG: \", int(HyperPar[3]),\"x\",int(HyperPar[4]),\"x\",int(HyperPar[5]), \"IP: \", int(HyperPar[6]),\"x\",int(HyperPar[7]),\"x\",int(HyperPar[8])) Ncicles = 500 Nepoch = 1 #Nbatch","- Num 9 .. divided by 3 so 1% is 10 represents 1%","3D for categorical variables. It has been developed by <NAME> and <NAME> in","######################### import numpy as np import tensorflow as tf import time import External_Functions_3D","MinLR, decimals=7) else: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*(StepLR - cuos) + MaxLR, decimals=7)","divided by 3 so 1% is 10 represents 1% HyperPar.append(1) # MinDC -","of bugs but running end-to-end. Any comments and further improvements are well recevied","program. The code is not free of bugs but running end-to-end. Any comments","gc for ind0 in range(1): start_time_AllTrain = time.time() HyperPar = [] HyperPar.append(50) #"],"string":"[\n \"Nepoch = 1 #Nbatch = 250 Nsamples = 512 TrainingImage = \\\"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\\\" LocModel\",\n \"but running end-to-end. Any comments and further improvements are well recevied to: <EMAIL>\",\n \"= \\\"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\\\" LocModel = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocModel = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]),\",\n \"MinLR)/StepLR)*cuos + MinLR, decimals=7) else: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*(StepLR - cuos) +\",\n \"of Data Conditioning - Num 9 .. divided by 3 so 1% is\",\n \"code is not free of bugs but running end-to-end. Any comments and further\",\n \"LocModel=LocModel) fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D(HyperPar=HyperPar, LocModel=LocModel) # To save the TI TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=3,Training=False,\",\n \"{}\\\".format(indTrain+PointStart), \\\"Learning Rate: \\\", LearningRate) TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=5, Training=True, Padding=True) print(\\\"[Sim]\\\")\",\n \"SGsizex - Num 0 HyperPar.append(50) # SGsizey - Num 1 HyperPar.append(50) # SGsizez\",\n \"- Num 2 HyperPar.append(int(7)) # Search_x - Num 3 HyperPar.append(int(7)) # Search_y -\",\n \"LearningRate = np.around(((MaxLR - MinLR)/StepLR)*(StepLR - cuos) + MaxLR, decimals=7) start_time_1 = time.time()\",\n \"decimals=7) start_time_1 = time.time() print (\\\"Cicle: {}\\\".format(indTrain+PointStart), \\\"Learning Rate: \\\", LearningRate) TempSimGrid =\",\n \"int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) LocFile = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocFile\",\n \"TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=5, Training=True, Padding=True) print(\\\"[Sim]\\\") TempSimGrid.Simulate_4ConvNets_BN_3D(LocModel=LocModel, Cicle=(indTrain+PointStart), Plot=True) print(\\\"[Saving Grid]\\\")\",\n \"#LocModel = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) LocFile = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]),\",\n \"\\\"IP: \\\", int(HyperPar[6]),\\\"x\\\",int(HyperPar[7]),\\\"x\\\",int(HyperPar[8])) Ncicles = 500 Nepoch = 1 #Nbatch = 250 Nsamples\",\n \"int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) LocFile = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocFile = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]),\",\n \"TempSimGrid.SavePlot(name=LocModel+'_TI.png', Level=1) MaxLR, MinLR = 0.01, 0.001 StepLR = 10 PointStart = 1\",\n \"int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) LocFile = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocFile =\",\n \"ind0 in range(1): start_time_AllTrain = time.time() HyperPar = [] HyperPar.append(50) # SGsizex -\",\n \"The code is not free of bugs but running end-to-end. Any comments and\",\n \"DBname=TrainingImage, Lvl=5, Training=True, Padding=True) print(\\\"[Sim]\\\") TempSimGrid.Simulate_4ConvNets_BN_3D(LocModel=LocModel, Cicle=(indTrain+PointStart), Plot=True) print(\\\"[Saving Grid]\\\") TempSimGrid.SaveGrid(file=\\\"{}/TrainReas_{}.txt\\\".format(LocFile, indTrain+PointStart)) print(\\\"[Train]\\\")\",\n \"- Queen's University - Canada\\\"\\\"\\\" # Do not display the AVX message about\",\n \"convdepth - Num 13 HyperPar.append(2) # num of categories - Num 14 print(\\\"SG:\",\n \"Num 9 .. divided by 3 so 1% is 10 represents 1% HyperPar.append(1)\",\n \"Nsamples = 512 TrainingImage = \\\"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\\\" LocModel = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13]))\",\n \"- Num 7 HyperPar.append(int(7)) # IPsizez - Num 8 HyperPar.append(50) # Percentage of\",\n \"- start_time_1), decimals=2))) gc.collect() print(\\\" \\\") print(\\\"--%s minutes of ALL training-\\\" % ((time.time()\",\n \"SGsizey - Num 1 HyperPar.append(50) # SGsizez - Num 2 HyperPar.append(int(7)) # Search_x\",\n \"the Geometallurygical Group at Queen's University as part of a PhD program. The\",\n \"print(\\\"[Graph]\\\") #fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D_NoBN(HyperPar=HyperPar, LocModel=LocModel) fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D(HyperPar=HyperPar, LocModel=LocModel) # To save the TI TempSimGrid = fns_nested.Grid(HyperPar=HyperPar,\",\n \"AVX message about using GPU import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' #from tensorflow.python.client import\",\n \"(\\\"Cicle: {}\\\".format(indTrain+PointStart), \\\"Learning Rate: \\\", LearningRate) TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=5, Training=True, Padding=True)\",\n \"Num Fully Connected - Num 11 HyperPar.append(3) # wdnh - Num 12 HyperPar.append(16)\",\n \"Any comments and further improvements are well recevied to: <EMAIL> April 16, 2019.\",\n \"to perform MPS in 3D for categorical variables. It has been developed by\",\n \"'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocFile = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13]))\",\n \"start_time_1), decimals=2))) gc.collect() print(\\\" \\\") print(\\\"--%s minutes of ALL training-\\\" % ((time.time() -\",\n \"are well recevied to: <EMAIL> April 16, 2019. Geomet Group - Queen's University\",\n \"time.time() print (\\\"Cicle: {}\\\".format(indTrain+PointStart), \\\"Learning Rate: \\\", LearningRate) TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=5,\",\n \"LocModel=LocModel) # To save the TI TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=3,Training=False, Padding=True) TempSimGrid.SavePlot(name=LocModel+'_TI.png',\",\n \"Num 3 HyperPar.append(int(7)) # Search_y - Num 4 HyperPar.append(int(7)) # Search_z - Num\",\n \"improvements are well recevied to: <EMAIL> April 16, 2019. Geomet Group - Queen's\",\n \"int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocModel = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) LocFile = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]),\",\n \"- Num 3 HyperPar.append(int(7)) # Search_y - Num 4 HyperPar.append(int(7)) # Search_z -\",\n \"HyperPar.append(int(7)) # Search_x - Num 3 HyperPar.append(int(7)) # Search_y - Num 4 HyperPar.append(int(7))\",\n \"- Num 12 HyperPar.append(16) # convdepth - Num 13 HyperPar.append(2) # num of\",\n \"8 HyperPar.append(50) # Percentage of Data Conditioning - Num 9 .. divided by\",\n \"np.around(((MaxLR - MinLR)/StepLR)*(StepLR - cuos) + MaxLR, decimals=7) start_time_1 = time.time() print (\\\"Cicle:\",\n \"of whole training process-\\\" % (np.around((time.time() - start_time_1), decimals=2))) gc.collect() print(\\\" \\\") print(\\\"--%s\",\n \"been developed by <NAME> and <NAME> in the Geometallurygical Group at Queen's University\",\n \"not free of bugs but running end-to-end. Any comments and further improvements are\",\n \"by 3 so 1% is 10 represents 1% HyperPar.append(1) # MinDC - Num\",\n \"MaxLR, decimals=7) start_time_1 = time.time() print (\\\"Cicle: {}\\\".format(indTrain+PointStart), \\\"Learning Rate: \\\", LearningRate) TempSimGrid\",\n \"comments and further improvements are well recevied to: <EMAIL> April 16, 2019. Geomet\",\n \"= 1 for indTrain in range(Ncicles): #HyperPar[9] = np.random.randint(41)+10 cuos = indTrain%(2*StepLR) if\",\n \"import time import External_Functions_3D as fns_nested import gc for ind0 in range(1): start_time_AllTrain\",\n \"1.0 of the RCNN approach to perform MPS in 3D for categorical variables.\",\n \"'2' #from tensorflow.python.client import device_lib #print(device_lib.list_local_devices()) #os.environ[\\\"CUDA_DEVICE_ORDER\\\"]=\\\"PCI_BUS_ID\\\" # see issue #152 #os.environ[\\\"CUDA_VISIBLE_DEVICES\\\"]=\\\"0\\\" ##\",\n \"MinLR = 0.01, 0.001 StepLR = 10 PointStart = 1 for indTrain in\",\n \"cuos < StepLR: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*cuos + MinLR, decimals=7) else: LearningRate\",\n \"tensorflow.python.client import device_lib #print(device_lib.list_local_devices()) #os.environ[\\\"CUDA_DEVICE_ORDER\\\"]=\\\"PCI_BUS_ID\\\" # see issue #152 #os.environ[\\\"CUDA_VISIBLE_DEVICES\\\"]=\\\"0\\\" ## ######################### import\",\n \"using GPU import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' #from tensorflow.python.client import device_lib #print(device_lib.list_local_devices()) #os.environ[\\\"CUDA_DEVICE_ORDER\\\"]=\\\"PCI_BUS_ID\\\"\",\n \"#HyperPar[9] = np.random.randint(41)+10 cuos = indTrain%(2*StepLR) if cuos < StepLR: LearningRate = np.around(((MaxLR\",\n \"present code is the Version 1.0 of the RCNN approach to perform MPS\",\n \"np.random.randint(41)+10 cuos = indTrain%(2*StepLR) if cuos < StepLR: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*cuos\",\n \"int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocFile = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) print(\\\"[Graph]\\\") #fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D_NoBN(HyperPar=HyperPar,\",\n \"see issue #152 #os.environ[\\\"CUDA_VISIBLE_DEVICES\\\"]=\\\"0\\\" ## ######################### import numpy as np import tensorflow as\",\n \"for categorical variables. It has been developed by <NAME> and <NAME> in the\",\n \"HyperPar.append(3) # wdnh - Num 12 HyperPar.append(16) # convdepth - Num 13 HyperPar.append(2)\",\n \"= 250 Nsamples = 512 TrainingImage = \\\"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\\\" LocModel = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]),\",\n \"HyperPar.append(int(7)) # IPsizey - Num 7 HyperPar.append(int(7)) # IPsizez - Num 8 HyperPar.append(50)\",\n \"= '2' #from tensorflow.python.client import device_lib #print(device_lib.list_local_devices()) #os.environ[\\\"CUDA_DEVICE_ORDER\\\"]=\\\"PCI_BUS_ID\\\" # see issue #152 #os.environ[\\\"CUDA_VISIBLE_DEVICES\\\"]=\\\"0\\\"\",\n \"variables. It has been developed by <NAME> and <NAME> in the Geometallurygical Group\",\n \"[] HyperPar.append(50) # SGsizex - Num 0 HyperPar.append(50) # SGsizey - Num 1\",\n \"2 HyperPar.append(int(7)) # Search_x - Num 3 HyperPar.append(int(7)) # Search_y - Num 4\",\n \"= 512 TrainingImage = \\\"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\\\" LocModel = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocModel\",\n \"7 HyperPar.append(int(7)) # IPsizez - Num 8 HyperPar.append(50) # Percentage of Data Conditioning\",\n \"# Num Fully Connected - Num 11 HyperPar.append(3) # wdnh - Num 12\",\n \"tf import time import External_Functions_3D as fns_nested import gc for ind0 in range(1):\",\n \"Num 4 HyperPar.append(int(7)) # Search_z - Num 5 HyperPar.append(int(7)) # IPsizex - Num\",\n \"= fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=5, Training=True, Padding=True) print(\\\"[Sim]\\\") TempSimGrid.Simulate_4ConvNets_BN_3D(LocModel=LocModel, Cicle=(indTrain+PointStart), Plot=True) print(\\\"[Saving Grid]\\\") TempSimGrid.SaveGrid(file=\\\"{}/TrainReas_{}.txt\\\".format(LocFile,\",\n \"# SGsizex - Num 0 HyperPar.append(50) # SGsizey - Num 1 HyperPar.append(50) #\",\n \"int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocModel = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) LocFile\",\n \"categorical variables. It has been developed by <NAME> and <NAME> in the Geometallurygical\",\n \"os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' #from tensorflow.python.client import device_lib #print(device_lib.list_local_devices()) #os.environ[\\\"CUDA_DEVICE_ORDER\\\"]=\\\"PCI_BUS_ID\\\" # see issue\",\n \"display the AVX message about using GPU import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' #from\",\n \"the TI TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=3,Training=False, Padding=True) TempSimGrid.SavePlot(name=LocModel+'_TI.png', Level=1) MaxLR, MinLR =\",\n \"Conditioning - Num 9 .. divided by 3 so 1% is 10 represents\",\n \"- MinLR)/StepLR)*cuos + MinLR, decimals=7) else: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*(StepLR - cuos)\",\n \"HyperPar = [] HyperPar.append(50) # SGsizex - Num 0 HyperPar.append(50) # SGsizey -\",\n \"= 1 #Nbatch = 250 Nsamples = 512 TrainingImage = \\\"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\\\" LocModel =\",\n \"GPU import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' #from tensorflow.python.client import device_lib #print(device_lib.list_local_devices()) #os.environ[\\\"CUDA_DEVICE_ORDER\\\"]=\\\"PCI_BUS_ID\\\" #\",\n \"HyperPar.append(2) # num of categories - Num 14 print(\\\"SG: \\\", int(HyperPar[3]),\\\"x\\\",int(HyperPar[4]),\\\"x\\\",int(HyperPar[5]), \\\"IP: \\\",\",\n \"Num 1 HyperPar.append(50) # SGsizez - Num 2 HyperPar.append(int(7)) # Search_x - Num\",\n \"process-\\\" % (np.around((time.time() - start_time_1), decimals=2))) gc.collect() print(\\\" \\\") print(\\\"--%s minutes of ALL\",\n \"13 HyperPar.append(2) # num of categories - Num 14 print(\\\"SG: \\\", int(HyperPar[3]),\\\"x\\\",int(HyperPar[4]),\\\"x\\\",int(HyperPar[5]), \\\"IP:\",\n \"int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocFile = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) print(\\\"[Graph]\\\") #fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D_NoBN(HyperPar=HyperPar, LocModel=LocModel)\",\n \"(np.around((time.time() - start_time_1), decimals=2))) gc.collect() print(\\\" \\\") print(\\\"--%s minutes of ALL training-\\\" %\",\n \"print(\\\"[Train]\\\") TempSimGrid.Train_4ConvNets_BN_3D(Epochs=Nepoch, Num_samples=Nsamples, LocModel=LocModel, LR=LearningRate) print(\\\"--%s seconds of whole training process-\\\" % (np.around((time.time()\",\n \"TI TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=3,Training=False, Padding=True) TempSimGrid.SavePlot(name=LocModel+'_TI.png', Level=1) MaxLR, MinLR = 0.01,\",\n \"Search_x - Num 3 HyperPar.append(int(7)) # Search_y - Num 4 HyperPar.append(int(7)) # Search_z\",\n \"Version 1.0 of the RCNN approach to perform MPS in 3D for categorical\",\n \"decimals=7) else: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*(StepLR - cuos) + MaxLR, decimals=7) start_time_1\",\n \"= 0.01, 0.001 StepLR = 10 PointStart = 1 for indTrain in range(Ncicles):\",\n \"LocFile = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocFile = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]),\",\n \"cuos) + MaxLR, decimals=7) start_time_1 = time.time() print (\\\"Cicle: {}\\\".format(indTrain+PointStart), \\\"Learning Rate: \\\",\",\n \"Percentage of Data Conditioning - Num 9 .. divided by 3 so 1%\",\n \"Rate: \\\", LearningRate) TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=5, Training=True, Padding=True) print(\\\"[Sim]\\\") TempSimGrid.Simulate_4ConvNets_BN_3D(LocModel=LocModel, Cicle=(indTrain+PointStart),\",\n \"import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' #from tensorflow.python.client import device_lib #print(device_lib.list_local_devices()) #os.environ[\\\"CUDA_DEVICE_ORDER\\\"]=\\\"PCI_BUS_ID\\\" # see\",\n \"HyperPar.append(50) # SGsizey - Num 1 HyperPar.append(50) # SGsizez - Num 2 HyperPar.append(int(7))\",\n \"= 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocModel = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]),\",\n \"# Search_x - Num 3 HyperPar.append(int(7)) # Search_y - Num 4 HyperPar.append(int(7)) #\",\n \"Ncicles = 500 Nepoch = 1 #Nbatch = 250 Nsamples = 512 TrainingImage\",\n \"bugs but running end-to-end. Any comments and further improvements are well recevied to:\",\n \"seconds of whole training process-\\\" % (np.around((time.time() - start_time_1), decimals=2))) gc.collect() print(\\\" \\\")\",\n \"MinDC - Num 10 HyperPar.append(1500) # Num Fully Connected - Num 11 HyperPar.append(3)\",\n \"int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) print(\\\"[Graph]\\\") #fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D_NoBN(HyperPar=HyperPar, LocModel=LocModel) fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D(HyperPar=HyperPar, LocModel=LocModel) # To save\",\n \"4 HyperPar.append(int(7)) # Search_z - Num 5 HyperPar.append(int(7)) # IPsizex - Num 6\",\n \"int(HyperPar[6]),\\\"x\\\",int(HyperPar[7]),\\\"x\\\",int(HyperPar[8])) Ncicles = 500 Nepoch = 1 #Nbatch = 250 Nsamples = 512\",\n \"free of bugs but running end-to-end. Any comments and further improvements are well\",\n \"HyperPar.append(int(7)) # IPsizex - Num 6 HyperPar.append(int(7)) # IPsizey - Num 7 HyperPar.append(int(7))\",\n \"recevied to: <EMAIL> April 16, 2019. Geomet Group - Queen's University - Canada\\\"\\\"\\\"\",\n \"Training=True, Padding=True) print(\\\"[Sim]\\\") TempSimGrid.Simulate_4ConvNets_BN_3D(LocModel=LocModel, Cicle=(indTrain+PointStart), Plot=True) print(\\\"[Saving Grid]\\\") TempSimGrid.SaveGrid(file=\\\"{}/TrainReas_{}.txt\\\".format(LocFile, indTrain+PointStart)) print(\\\"[Train]\\\") TempSimGrid.Train_4ConvNets_BN_3D(Epochs=Nepoch, Num_samples=Nsamples,\",\n \"#print(device_lib.list_local_devices()) #os.environ[\\\"CUDA_DEVICE_ORDER\\\"]=\\\"PCI_BUS_ID\\\" # see issue #152 #os.environ[\\\"CUDA_VISIBLE_DEVICES\\\"]=\\\"0\\\" ## ######################### import numpy as np\",\n \"time import External_Functions_3D as fns_nested import gc for ind0 in range(1): start_time_AllTrain =\",\n \"else: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*(StepLR - cuos) + MaxLR, decimals=7) start_time_1 =\",\n \"import gc for ind0 in range(1): start_time_AllTrain = time.time() HyperPar = [] HyperPar.append(50)\",\n \"1% is 10 represents 1% HyperPar.append(1) # MinDC - Num 10 HyperPar.append(1500) #\",\n \"'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) print(\\\"[Graph]\\\") #fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D_NoBN(HyperPar=HyperPar, LocModel=LocModel) fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D(HyperPar=HyperPar, LocModel=LocModel) # To\",\n \"To save the TI TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=3,Training=False, Padding=True) TempSimGrid.SavePlot(name=LocModel+'_TI.png', Level=1) MaxLR,\",\n \"< StepLR: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*cuos + MinLR, decimals=7) else: LearningRate =\",\n \"500 Nepoch = 1 #Nbatch = 250 Nsamples = 512 TrainingImage = \\\"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\\\"\",\n \"Search_y - Num 4 HyperPar.append(int(7)) # Search_z - Num 5 HyperPar.append(int(7)) # IPsizex\",\n \"University - Canada\\\"\\\"\\\" # Do not display the AVX message about using GPU\",\n \"#152 #os.environ[\\\"CUDA_VISIBLE_DEVICES\\\"]=\\\"0\\\" ## ######################### import numpy as np import tensorflow as tf import\",\n \"## ######################### import numpy as np import tensorflow as tf import time import\",\n \"HyperPar.append(int(7)) # Search_z - Num 5 HyperPar.append(int(7)) # IPsizex - Num 6 HyperPar.append(int(7))\",\n \"\\\"Learning Rate: \\\", LearningRate) TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=5, Training=True, Padding=True) print(\\\"[Sim]\\\") TempSimGrid.Simulate_4ConvNets_BN_3D(LocModel=LocModel,\",\n \"time.time() HyperPar = [] HyperPar.append(50) # SGsizex - Num 0 HyperPar.append(50) # SGsizey\",\n \"- Num 4 HyperPar.append(int(7)) # Search_z - Num 5 HyperPar.append(int(7)) # IPsizex -\",\n \"0.01, 0.001 StepLR = 10 PointStart = 1 for indTrain in range(Ncicles): #HyperPar[9]\",\n \"= 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocFile = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]),\",\n \"IPsizey - Num 7 HyperPar.append(int(7)) # IPsizez - Num 8 HyperPar.append(50) # Percentage\",\n \"#from tensorflow.python.client import device_lib #print(device_lib.list_local_devices()) #os.environ[\\\"CUDA_DEVICE_ORDER\\\"]=\\\"PCI_BUS_ID\\\" # see issue #152 #os.environ[\\\"CUDA_VISIBLE_DEVICES\\\"]=\\\"0\\\" ## #########################\",\n \"start_time_AllTrain = time.time() HyperPar = [] HyperPar.append(50) # SGsizex - Num 0 HyperPar.append(50)\",\n \"int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocModel = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) LocFile =\",\n \"numpy as np import tensorflow as tf import time import External_Functions_3D as fns_nested\",\n \"11 HyperPar.append(3) # wdnh - Num 12 HyperPar.append(16) # convdepth - Num 13\",\n \"2019. Geomet Group - Queen's University - Canada\\\"\\\"\\\" # Do not display the\",\n \"16, 2019. Geomet Group - Queen's University - Canada\\\"\\\"\\\" # Do not display\",\n \"has been developed by <NAME> and <NAME> in the Geometallurygical Group at Queen's\",\n \"about using GPU import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' #from tensorflow.python.client import device_lib #print(device_lib.list_local_devices())\",\n \"print (\\\"Cicle: {}\\\".format(indTrain+PointStart), \\\"Learning Rate: \\\", LearningRate) TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=5, Training=True,\",\n \"LearningRate) TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=5, Training=True, Padding=True) print(\\\"[Sim]\\\") TempSimGrid.Simulate_4ConvNets_BN_3D(LocModel=LocModel, Cicle=(indTrain+PointStart), Plot=True) print(\\\"[Saving\",\n \"is the Version 1.0 of the RCNN approach to perform MPS in 3D\",\n \"int(HyperPar[3]),\\\"x\\\",int(HyperPar[4]),\\\"x\\\",int(HyperPar[5]), \\\"IP: \\\", int(HyperPar[6]),\\\"x\\\",int(HyperPar[7]),\\\"x\\\",int(HyperPar[8])) Ncicles = 500 Nepoch = 1 #Nbatch = 250\",\n \"'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) LocFile = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13]))\",\n \"3 HyperPar.append(int(7)) # Search_y - Num 4 HyperPar.append(int(7)) # Search_z - Num 5\",\n \"LearningRate = np.around(((MaxLR - MinLR)/StepLR)*cuos + MinLR, decimals=7) else: LearningRate = np.around(((MaxLR -\",\n \"= [] HyperPar.append(50) # SGsizex - Num 0 HyperPar.append(50) # SGsizey - Num\",\n \"IPsizez - Num 8 HyperPar.append(50) # Percentage of Data Conditioning - Num 9\",\n \"# Search_y - Num 4 HyperPar.append(int(7)) # Search_z - Num 5 HyperPar.append(int(7)) #\",\n \"training process-\\\" % (np.around((time.time() - start_time_1), decimals=2))) gc.collect() print(\\\" \\\") print(\\\"--%s minutes of\",\n \"not display the AVX message about using GPU import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'\",\n \"1 #Nbatch = 250 Nsamples = 512 TrainingImage = \\\"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\\\" LocModel = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]),\",\n \"# SGsizey - Num 1 HyperPar.append(50) # SGsizez - Num 2 HyperPar.append(int(7)) #\",\n \"LocModel=LocModel, LR=LearningRate) print(\\\"--%s seconds of whole training process-\\\" % (np.around((time.time() - start_time_1), decimals=2)))\",\n \"np import tensorflow as tf import time import External_Functions_3D as fns_nested import gc\",\n \"HyperPar.append(50) # SGsizex - Num 0 HyperPar.append(50) # SGsizey - Num 1 HyperPar.append(50)\",\n \"- Num 1 HyperPar.append(50) # SGsizez - Num 2 HyperPar.append(int(7)) # Search_x -\",\n \"LocModel = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocModel = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]),\",\n \"10 PointStart = 1 for indTrain in range(Ncicles): #HyperPar[9] = np.random.randint(41)+10 cuos =\",\n \"developed by <NAME> and <NAME> in the Geometallurygical Group at Queen's University as\",\n \"fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=5, Training=True, Padding=True) print(\\\"[Sim]\\\") TempSimGrid.Simulate_4ConvNets_BN_3D(LocModel=LocModel, Cicle=(indTrain+PointStart), Plot=True) print(\\\"[Saving Grid]\\\") TempSimGrid.SaveGrid(file=\\\"{}/TrainReas_{}.txt\\\".format(LocFile, indTrain+PointStart))\",\n \"14 print(\\\"SG: \\\", int(HyperPar[3]),\\\"x\\\",int(HyperPar[4]),\\\"x\\\",int(HyperPar[5]), \\\"IP: \\\", int(HyperPar[6]),\\\"x\\\",int(HyperPar[7]),\\\"x\\\",int(HyperPar[8])) Ncicles = 500 Nepoch = 1\",\n \"int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) print(\\\"[Graph]\\\") #fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D_NoBN(HyperPar=HyperPar, LocModel=LocModel) fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D(HyperPar=HyperPar, LocModel=LocModel) # To save the TI\",\n \"os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' #from tensorflow.python.client import device_lib #print(device_lib.list_local_devices()) #os.environ[\\\"CUDA_DEVICE_ORDER\\\"]=\\\"PCI_BUS_ID\\\" # see issue #152\",\n \"# convdepth - Num 13 HyperPar.append(2) # num of categories - Num 14\",\n \"- Num 6 HyperPar.append(int(7)) # IPsizey - Num 7 HyperPar.append(int(7)) # IPsizez -\",\n \"of the RCNN approach to perform MPS in 3D for categorical variables. It\",\n \"import device_lib #print(device_lib.list_local_devices()) #os.environ[\\\"CUDA_DEVICE_ORDER\\\"]=\\\"PCI_BUS_ID\\\" # see issue #152 #os.environ[\\\"CUDA_VISIBLE_DEVICES\\\"]=\\\"0\\\" ## ######################### import numpy\",\n \"Num 8 HyperPar.append(50) # Percentage of Data Conditioning - Num 9 .. divided\",\n \"Lvl=3,Training=False, Padding=True) TempSimGrid.SavePlot(name=LocModel+'_TI.png', Level=1) MaxLR, MinLR = 0.01, 0.001 StepLR = 10 PointStart\",\n \"<EMAIL> April 16, 2019. Geomet Group - Queen's University - Canada\\\"\\\"\\\" # Do\",\n \"MPS in 3D for categorical variables. It has been developed by <NAME> and\",\n \"Num 13 HyperPar.append(2) # num of categories - Num 14 print(\\\"SG: \\\", int(HyperPar[3]),\\\"x\\\",int(HyperPar[4]),\\\"x\\\",int(HyperPar[5]),\",\n \"if cuos < StepLR: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*cuos + MinLR, decimals=7) else:\",\n \"part of a PhD program. The code is not free of bugs but\",\n \"= time.time() HyperPar = [] HyperPar.append(50) # SGsizex - Num 0 HyperPar.append(50) #\",\n \"print(\\\"[Sim]\\\") TempSimGrid.Simulate_4ConvNets_BN_3D(LocModel=LocModel, Cicle=(indTrain+PointStart), Plot=True) print(\\\"[Saving Grid]\\\") TempSimGrid.SaveGrid(file=\\\"{}/TrainReas_{}.txt\\\".format(LocFile, indTrain+PointStart)) print(\\\"[Train]\\\") TempSimGrid.Train_4ConvNets_BN_3D(Epochs=Nepoch, Num_samples=Nsamples, LocModel=LocModel, LR=LearningRate)\",\n \"Group at Queen's University as part of a PhD program. The code is\",\n \"Queen's University as part of a PhD program. The code is not free\",\n \"0.001 StepLR = 10 PointStart = 1 for indTrain in range(Ncicles): #HyperPar[9] =\",\n \"% (np.around((time.time() - start_time_1), decimals=2))) gc.collect() print(\\\" \\\") print(\\\"--%s minutes of ALL training-\\\"\",\n \"MinLR)/StepLR)*(StepLR - cuos) + MaxLR, decimals=7) start_time_1 = time.time() print (\\\"Cicle: {}\\\".format(indTrain+PointStart), \\\"Learning\",\n \"int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocFile = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) print(\\\"[Graph]\\\")\",\n \"int(HyperPar[13])) #LocFile = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) print(\\\"[Graph]\\\") #fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D_NoBN(HyperPar=HyperPar, LocModel=LocModel) fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D(HyperPar=HyperPar,\",\n \"code is the Version 1.0 of the RCNN approach to perform MPS in\",\n \"device_lib #print(device_lib.list_local_devices()) #os.environ[\\\"CUDA_DEVICE_ORDER\\\"]=\\\"PCI_BUS_ID\\\" # see issue #152 #os.environ[\\\"CUDA_VISIBLE_DEVICES\\\"]=\\\"0\\\" ## ######################### import numpy as\",\n \"as np import tensorflow as tf import time import External_Functions_3D as fns_nested import\",\n \"Num 10 HyperPar.append(1500) # Num Fully Connected - Num 11 HyperPar.append(3) # wdnh\",\n \"- MinLR)/StepLR)*(StepLR - cuos) + MaxLR, decimals=7) start_time_1 = time.time() print (\\\"Cicle: {}\\\".format(indTrain+PointStart),\",\n \"- Num 11 HyperPar.append(3) # wdnh - Num 12 HyperPar.append(16) # convdepth -\",\n \"= fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=3,Training=False, Padding=True) TempSimGrid.SavePlot(name=LocModel+'_TI.png', Level=1) MaxLR, MinLR = 0.01, 0.001 StepLR\",\n \"the RCNN approach to perform MPS in 3D for categorical variables. It has\",\n \"indTrain%(2*StepLR) if cuos < StepLR: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*cuos + MinLR, decimals=7)\",\n \"+ MaxLR, decimals=7) start_time_1 = time.time() print (\\\"Cicle: {}\\\".format(indTrain+PointStart), \\\"Learning Rate: \\\", LearningRate)\",\n \"range(1): start_time_AllTrain = time.time() HyperPar = [] HyperPar.append(50) # SGsizex - Num 0\",\n \"Num 2 HyperPar.append(int(7)) # Search_x - Num 3 HyperPar.append(int(7)) # Search_y - Num\",\n \"HyperPar.append(1) # MinDC - Num 10 HyperPar.append(1500) # Num Fully Connected - Num\",\n \"HyperPar.append(1500) # Num Fully Connected - Num 11 HyperPar.append(3) # wdnh - Num\",\n \"print(\\\"--%s seconds of whole training process-\\\" % (np.around((time.time() - start_time_1), decimals=2))) gc.collect() print(\\\"\",\n \"Canada\\\"\\\"\\\" # Do not display the AVX message about using GPU import os\",\n \"import External_Functions_3D as fns_nested import gc for ind0 in range(1): start_time_AllTrain = time.time()\",\n \"HyperPar.append(50) # Percentage of Data Conditioning - Num 9 .. divided by 3\",\n \"int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) print(\\\"[Graph]\\\") #fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D_NoBN(HyperPar=HyperPar, LocModel=LocModel) fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D(HyperPar=HyperPar, LocModel=LocModel) # To save the TI TempSimGrid\",\n \"tensorflow as tf import time import External_Functions_3D as fns_nested import gc for ind0\",\n \"IPsizex - Num 6 HyperPar.append(int(7)) # IPsizey - Num 7 HyperPar.append(int(7)) # IPsizez\",\n \".. divided by 3 so 1% is 10 represents 1% HyperPar.append(1) # MinDC\",\n \"and further improvements are well recevied to: <EMAIL> April 16, 2019. Geomet Group\",\n \"well recevied to: <EMAIL> April 16, 2019. Geomet Group - Queen's University -\",\n \"Num 14 print(\\\"SG: \\\", int(HyperPar[3]),\\\"x\\\",int(HyperPar[4]),\\\"x\\\",int(HyperPar[5]), \\\"IP: \\\", int(HyperPar[6]),\\\"x\\\",int(HyperPar[7]),\\\"x\\\",int(HyperPar[8])) Ncicles = 500 Nepoch =\",\n \"= 500 Nepoch = 1 #Nbatch = 250 Nsamples = 512 TrainingImage =\",\n \"# wdnh - Num 12 HyperPar.append(16) # convdepth - Num 13 HyperPar.append(2) #\",\n \"PhD program. The code is not free of bugs but running end-to-end. Any\",\n \"to: <EMAIL> April 16, 2019. Geomet Group - Queen's University - Canada\\\"\\\"\\\" #\",\n \"- Num 10 HyperPar.append(1500) # Num Fully Connected - Num 11 HyperPar.append(3) #\",\n \"= 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) print(\\\"[Graph]\\\") #fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D_NoBN(HyperPar=HyperPar, LocModel=LocModel) fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D(HyperPar=HyperPar, LocModel=LocModel) #\",\n \"#fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D_NoBN(HyperPar=HyperPar, LocModel=LocModel) fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D(HyperPar=HyperPar, LocModel=LocModel) # To save the TI TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage,\",\n \"SGsizez - Num 2 HyperPar.append(int(7)) # Search_x - Num 3 HyperPar.append(int(7)) # Search_y\",\n \"for ind0 in range(1): start_time_AllTrain = time.time() HyperPar = [] HyperPar.append(50) # SGsizex\",\n \"int(HyperPar[13])) LocFile = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocFile = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]),\",\n \"April 16, 2019. Geomet Group - Queen's University - Canada\\\"\\\"\\\" # Do not\",\n \"Queen's University - Canada\\\"\\\"\\\" # Do not display the AVX message about using\",\n \"num of categories - Num 14 print(\\\"SG: \\\", int(HyperPar[3]),\\\"x\\\",int(HyperPar[4]),\\\"x\\\",int(HyperPar[5]), \\\"IP: \\\", int(HyperPar[6]),\\\"x\\\",int(HyperPar[7]),\\\"x\\\",int(HyperPar[8])) Ncicles\",\n \"1 for indTrain in range(Ncicles): #HyperPar[9] = np.random.randint(41)+10 cuos = indTrain%(2*StepLR) if cuos\",\n \"range(Ncicles): #HyperPar[9] = np.random.randint(41)+10 cuos = indTrain%(2*StepLR) if cuos < StepLR: LearningRate =\",\n \"+ MinLR, decimals=7) else: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*(StepLR - cuos) + MaxLR,\",\n \"Plot=True) print(\\\"[Saving Grid]\\\") TempSimGrid.SaveGrid(file=\\\"{}/TrainReas_{}.txt\\\".format(LocFile, indTrain+PointStart)) print(\\\"[Train]\\\") TempSimGrid.Train_4ConvNets_BN_3D(Epochs=Nepoch, Num_samples=Nsamples, LocModel=LocModel, LR=LearningRate) print(\\\"--%s seconds of\",\n \"6 HyperPar.append(int(7)) # IPsizey - Num 7 HyperPar.append(int(7)) # IPsizez - Num 8\",\n \"of a PhD program. The code is not free of bugs but running\",\n \"- Num 8 HyperPar.append(50) # Percentage of Data Conditioning - Num 9 ..\",\n \"save the TI TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=3,Training=False, Padding=True) TempSimGrid.SavePlot(name=LocModel+'_TI.png', Level=1) MaxLR, MinLR\",\n \"- Num 0 HyperPar.append(50) # SGsizey - Num 1 HyperPar.append(50) # SGsizez -\",\n \"message about using GPU import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' #from tensorflow.python.client import device_lib\",\n \"= time.time() print (\\\"Cicle: {}\\\".format(indTrain+PointStart), \\\"Learning Rate: \\\", LearningRate) TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage,\",\n \"Num 6 HyperPar.append(int(7)) # IPsizey - Num 7 HyperPar.append(int(7)) # IPsizez - Num\",\n \"fns_nested import gc for ind0 in range(1): start_time_AllTrain = time.time() HyperPar = []\",\n \"\\\", int(HyperPar[6]),\\\"x\\\",int(HyperPar[7]),\\\"x\\\",int(HyperPar[8])) Ncicles = 500 Nepoch = 1 #Nbatch = 250 Nsamples =\",\n \"# see issue #152 #os.environ[\\\"CUDA_VISIBLE_DEVICES\\\"]=\\\"0\\\" ## ######################### import numpy as np import tensorflow\",\n \"# To save the TI TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=3,Training=False, Padding=True) TempSimGrid.SavePlot(name=LocModel+'_TI.png', Level=1)\",\n \"250 Nsamples = 512 TrainingImage = \\\"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\\\" LocModel = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]),\",\n \"HyperPar.append(50) # SGsizez - Num 2 HyperPar.append(int(7)) # Search_x - Num 3 HyperPar.append(int(7))\",\n \"the AVX message about using GPU import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' #from tensorflow.python.client\",\n \"Geometallurygical Group at Queen's University as part of a PhD program. The code\",\n \"of categories - Num 14 print(\\\"SG: \\\", int(HyperPar[3]),\\\"x\\\",int(HyperPar[4]),\\\"x\\\",int(HyperPar[5]), \\\"IP: \\\", int(HyperPar[6]),\\\"x\\\",int(HyperPar[7]),\\\"x\\\",int(HyperPar[8])) Ncicles =\",\n \"Num_samples=Nsamples, LocModel=LocModel, LR=LearningRate) print(\\\"--%s seconds of whole training process-\\\" % (np.around((time.time() - start_time_1),\",\n \"#os.environ[\\\"CUDA_VISIBLE_DEVICES\\\"]=\\\"0\\\" ## ######################### import numpy as np import tensorflow as tf import time\",\n \"TempSimGrid.SaveGrid(file=\\\"{}/TrainReas_{}.txt\\\".format(LocFile, indTrain+PointStart)) print(\\\"[Train]\\\") TempSimGrid.Train_4ConvNets_BN_3D(Epochs=Nepoch, Num_samples=Nsamples, LocModel=LocModel, LR=LearningRate) print(\\\"--%s seconds of whole training process-\\\"\",\n \"- Num 14 print(\\\"SG: \\\", int(HyperPar[3]),\\\"x\\\",int(HyperPar[4]),\\\"x\\\",int(HyperPar[5]), \\\"IP: \\\", int(HyperPar[6]),\\\"x\\\",int(HyperPar[7]),\\\"x\\\",int(HyperPar[8])) Ncicles = 500 Nepoch\",\n \"Num 7 HyperPar.append(int(7)) # IPsizez - Num 8 HyperPar.append(50) # Percentage of Data\",\n \"Lvl=5, Training=True, Padding=True) print(\\\"[Sim]\\\") TempSimGrid.Simulate_4ConvNets_BN_3D(LocModel=LocModel, Cicle=(indTrain+PointStart), Plot=True) print(\\\"[Saving Grid]\\\") TempSimGrid.SaveGrid(file=\\\"{}/TrainReas_{}.txt\\\".format(LocFile, indTrain+PointStart)) print(\\\"[Train]\\\") TempSimGrid.Train_4ConvNets_BN_3D(Epochs=Nepoch,\",\n \"in range(1): start_time_AllTrain = time.time() HyperPar = [] HyperPar.append(50) # SGsizex - Num\",\n \"Data Conditioning - Num 9 .. divided by 3 so 1% is 10\",\n \"# IPsizex - Num 6 HyperPar.append(int(7)) # IPsizey - Num 7 HyperPar.append(int(7)) #\",\n \"It has been developed by <NAME> and <NAME> in the Geometallurygical Group at\",\n \"- Canada\\\"\\\"\\\" # Do not display the AVX message about using GPU import\",\n \"3 so 1% is 10 represents 1% HyperPar.append(1) # MinDC - Num 10\",\n \"issue #152 #os.environ[\\\"CUDA_VISIBLE_DEVICES\\\"]=\\\"0\\\" ## ######################### import numpy as np import tensorflow as tf\",\n \"np.around(((MaxLR - MinLR)/StepLR)*cuos + MinLR, decimals=7) else: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*(StepLR -\",\n \"represents 1% HyperPar.append(1) # MinDC - Num 10 HyperPar.append(1500) # Num Fully Connected\",\n \"= 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) LocFile = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]),\",\n \"so 1% is 10 represents 1% HyperPar.append(1) # MinDC - Num 10 HyperPar.append(1500)\",\n \"perform MPS in 3D for categorical variables. It has been developed by <NAME>\",\n \"# Search_z - Num 5 HyperPar.append(int(7)) # IPsizex - Num 6 HyperPar.append(int(7)) #\",\n \"at Queen's University as part of a PhD program. The code is not\",\n \"0 HyperPar.append(50) # SGsizey - Num 1 HyperPar.append(50) # SGsizez - Num 2\",\n \"512 TrainingImage = \\\"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\\\" LocModel = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocModel =\",\n \"in the Geometallurygical Group at Queen's University as part of a PhD program.\",\n \"int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) LocFile = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocFile = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[9]),\",\n \"start_time_1 = time.time() print (\\\"Cicle: {}\\\".format(indTrain+PointStart), \\\"Learning Rate: \\\", LearningRate) TempSimGrid = fns_nested.Grid(HyperPar=HyperPar,\",\n \"University as part of a PhD program. The code is not free of\",\n \"Num 5 HyperPar.append(int(7)) # IPsizex - Num 6 HyperPar.append(int(7)) # IPsizey - Num\",\n \"\\\", LearningRate) TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=5, Training=True, Padding=True) print(\\\"[Sim]\\\") TempSimGrid.Simulate_4ConvNets_BN_3D(LocModel=LocModel, Cicle=(indTrain+PointStart), Plot=True)\",\n \"1% HyperPar.append(1) # MinDC - Num 10 HyperPar.append(1500) # Num Fully Connected -\",\n \"int(HyperPar[13])) #LocModel = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) LocFile = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]),\",\n \"Level=1) MaxLR, MinLR = 0.01, 0.001 StepLR = 10 PointStart = 1 for\",\n \"MaxLR, MinLR = 0.01, 0.001 StepLR = 10 PointStart = 1 for indTrain\",\n \"indTrain+PointStart)) print(\\\"[Train]\\\") TempSimGrid.Train_4ConvNets_BN_3D(Epochs=Nepoch, Num_samples=Nsamples, LocModel=LocModel, LR=LearningRate) print(\\\"--%s seconds of whole training process-\\\" %\",\n \"= np.random.randint(41)+10 cuos = indTrain%(2*StepLR) if cuos < StepLR: LearningRate = np.around(((MaxLR -\",\n \"end-to-end. Any comments and further improvements are well recevied to: <EMAIL> April 16,\",\n \"as tf import time import External_Functions_3D as fns_nested import gc for ind0 in\",\n \"Do not display the AVX message about using GPU import os os.environ['TF_CPP_MIN_LOG_LEVEL'] =\",\n \"wdnh - Num 12 HyperPar.append(16) # convdepth - Num 13 HyperPar.append(2) # num\",\n \"Padding=True) TempSimGrid.SavePlot(name=LocModel+'_TI.png', Level=1) MaxLR, MinLR = 0.01, 0.001 StepLR = 10 PointStart =\",\n \"10 represents 1% HyperPar.append(1) # MinDC - Num 10 HyperPar.append(1500) # Num Fully\",\n \"\\\"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\\\" LocModel = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocModel = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]),\",\n \"HyperPar.append(16) # convdepth - Num 13 HyperPar.append(2) # num of categories - Num\",\n \"= np.around(((MaxLR - MinLR)/StepLR)*cuos + MinLR, decimals=7) else: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*(StepLR\",\n \"for indTrain in range(Ncicles): #HyperPar[9] = np.random.randint(41)+10 cuos = indTrain%(2*StepLR) if cuos <\",\n \"Search_z - Num 5 HyperPar.append(int(7)) # IPsizex - Num 6 HyperPar.append(int(7)) # IPsizey\",\n \"10 HyperPar.append(1500) # Num Fully Connected - Num 11 HyperPar.append(3) # wdnh -\",\n \"<NAME> in the Geometallurygical Group at Queen's University as part of a PhD\",\n \"#os.environ[\\\"CUDA_DEVICE_ORDER\\\"]=\\\"PCI_BUS_ID\\\" # see issue #152 #os.environ[\\\"CUDA_VISIBLE_DEVICES\\\"]=\\\"0\\\" ## ######################### import numpy as np import\",\n \"import numpy as np import tensorflow as tf import time import External_Functions_3D as\",\n \"is not free of bugs but running end-to-end. Any comments and further improvements\",\n \"Connected - Num 11 HyperPar.append(3) # wdnh - Num 12 HyperPar.append(16) # convdepth\",\n \"StepLR: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*cuos + MinLR, decimals=7) else: LearningRate = np.around(((MaxLR\",\n \"print(\\\"[Saving Grid]\\\") TempSimGrid.SaveGrid(file=\\\"{}/TrainReas_{}.txt\\\".format(LocFile, indTrain+PointStart)) print(\\\"[Train]\\\") TempSimGrid.Train_4ConvNets_BN_3D(Epochs=Nepoch, Num_samples=Nsamples, LocModel=LocModel, LR=LearningRate) print(\\\"--%s seconds of whole\",\n \"whole training process-\\\" % (np.around((time.time() - start_time_1), decimals=2))) gc.collect() print(\\\" \\\") print(\\\"--%s minutes\",\n \"# SGsizez - Num 2 HyperPar.append(int(7)) # Search_x - Num 3 HyperPar.append(int(7)) #\",\n \"= 10 PointStart = 1 for indTrain in range(Ncicles): #HyperPar[9] = np.random.randint(41)+10 cuos\",\n \"TempSimGrid.Train_4ConvNets_BN_3D(Epochs=Nepoch, Num_samples=Nsamples, LocModel=LocModel, LR=LearningRate) print(\\\"--%s seconds of whole training process-\\\" % (np.around((time.time() -\",\n \"DBname=TrainingImage, Lvl=3,Training=False, Padding=True) TempSimGrid.SavePlot(name=LocModel+'_TI.png', Level=1) MaxLR, MinLR = 0.01, 0.001 StepLR = 10\",\n \"LR=LearningRate) print(\\\"--%s seconds of whole training process-\\\" % (np.around((time.time() - start_time_1), decimals=2))) gc.collect()\",\n \"Grid]\\\") TempSimGrid.SaveGrid(file=\\\"{}/TrainReas_{}.txt\\\".format(LocFile, indTrain+PointStart)) print(\\\"[Train]\\\") TempSimGrid.Train_4ConvNets_BN_3D(Epochs=Nepoch, Num_samples=Nsamples, LocModel=LocModel, LR=LearningRate) print(\\\"--%s seconds of whole training\",\n \"Num 11 HyperPar.append(3) # wdnh - Num 12 HyperPar.append(16) # convdepth - Num\",\n \"and <NAME> in the Geometallurygical Group at Queen's University as part of a\",\n \"TrainingImage = \\\"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\\\" LocModel = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocModel = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[9]),\",\n \"int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) print(\\\"[Graph]\\\") #fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D_NoBN(HyperPar=HyperPar, LocModel=LocModel) fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D(HyperPar=HyperPar, LocModel=LocModel) # To save the\",\n \"# Percentage of Data Conditioning - Num 9 .. divided by 3 so\",\n \"in range(Ncicles): #HyperPar[9] = np.random.randint(41)+10 cuos = indTrain%(2*StepLR) if cuos < StepLR: LearningRate\",\n \"by <NAME> and <NAME> in the Geometallurygical Group at Queen's University as part\",\n \"Group - Queen's University - Canada\\\"\\\"\\\" # Do not display the AVX message\",\n \"= indTrain%(2*StepLR) if cuos < StepLR: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*cuos + MinLR,\",\n \"= np.around(((MaxLR - MinLR)/StepLR)*(StepLR - cuos) + MaxLR, decimals=7) start_time_1 = time.time() print\",\n \"- cuos) + MaxLR, decimals=7) start_time_1 = time.time() print (\\\"Cicle: {}\\\".format(indTrain+PointStart), \\\"Learning Rate:\",\n \"Num 0 HyperPar.append(50) # SGsizey - Num 1 HyperPar.append(50) # SGsizez - Num\",\n \"#Nbatch = 250 Nsamples = 512 TrainingImage = \\\"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\\\" LocModel = 'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]),\",\n \"Cicle=(indTrain+PointStart), Plot=True) print(\\\"[Saving Grid]\\\") TempSimGrid.SaveGrid(file=\\\"{}/TrainReas_{}.txt\\\".format(LocFile, indTrain+PointStart)) print(\\\"[Train]\\\") TempSimGrid.Train_4ConvNets_BN_3D(Epochs=Nepoch, Num_samples=Nsamples, LocModel=LocModel, LR=LearningRate) print(\\\"--%s seconds\",\n \"Padding=True) print(\\\"[Sim]\\\") TempSimGrid.Simulate_4ConvNets_BN_3D(LocModel=LocModel, Cicle=(indTrain+PointStart), Plot=True) print(\\\"[Saving Grid]\\\") TempSimGrid.SaveGrid(file=\\\"{}/TrainReas_{}.txt\\\".format(LocFile, indTrain+PointStart)) print(\\\"[Train]\\\") TempSimGrid.Train_4ConvNets_BN_3D(Epochs=Nepoch, Num_samples=Nsamples, LocModel=LocModel,\",\n \"- Num 5 HyperPar.append(int(7)) # IPsizex - Num 6 HyperPar.append(int(7)) # IPsizey -\",\n \"int(HyperPar[13])) print(\\\"[Graph]\\\") #fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D_NoBN(HyperPar=HyperPar, LocModel=LocModel) fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D(HyperPar=HyperPar, LocModel=LocModel) # To save the TI TempSimGrid =\",\n \"StepLR = 10 PointStart = 1 for indTrain in range(Ncicles): #HyperPar[9] = np.random.randint(41)+10\",\n \"cuos = indTrain%(2*StepLR) if cuos < StepLR: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*cuos +\",\n \"in 3D for categorical variables. It has been developed by <NAME> and <NAME>\",\n \"running end-to-end. Any comments and further improvements are well recevied to: <EMAIL> April\",\n \"as fns_nested import gc for ind0 in range(1): start_time_AllTrain = time.time() HyperPar =\",\n \"# IPsizez - Num 8 HyperPar.append(50) # Percentage of Data Conditioning - Num\",\n \"HyperPar.append(int(7)) # Search_y - Num 4 HyperPar.append(int(7)) # Search_z - Num 5 HyperPar.append(int(7))\",\n \"fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=3,Training=False, Padding=True) TempSimGrid.SavePlot(name=LocModel+'_TI.png', Level=1) MaxLR, MinLR = 0.01, 0.001 StepLR =\",\n \"the Version 1.0 of the RCNN approach to perform MPS in 3D for\",\n \"as part of a PhD program. The code is not free of bugs\",\n \"fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D(HyperPar=HyperPar, LocModel=LocModel) # To save the TI TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=3,Training=False, Padding=True)\",\n \"PointStart = 1 for indTrain in range(Ncicles): #HyperPar[9] = np.random.randint(41)+10 cuos = indTrain%(2*StepLR)\",\n \"#LocFile = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) print(\\\"[Graph]\\\") #fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D_NoBN(HyperPar=HyperPar, LocModel=LocModel) fns_nested.CreateGraph_4ConvNets_4HL_NFeaConv_wdnhxwdnh_BN_3D(HyperPar=HyperPar, LocModel=LocModel)\",\n \"1 HyperPar.append(50) # SGsizez - Num 2 HyperPar.append(int(7)) # Search_x - Num 3\",\n \"categories - Num 14 print(\\\"SG: \\\", int(HyperPar[3]),\\\"x\\\",int(HyperPar[4]),\\\"x\\\",int(HyperPar[5]), \\\"IP: \\\", int(HyperPar[6]),\\\"x\\\",int(HyperPar[7]),\\\"x\\\",int(HyperPar[8])) Ncicles = 500\",\n \"import tensorflow as tf import time import External_Functions_3D as fns_nested import gc for\",\n \"\\\"\\\"\\\"The present code is the Version 1.0 of the RCNN approach to perform\",\n \"5 HyperPar.append(int(7)) # IPsizex - Num 6 HyperPar.append(int(7)) # IPsizey - Num 7\",\n \"\\\", int(HyperPar[3]),\\\"x\\\",int(HyperPar[4]),\\\"x\\\",int(HyperPar[5]), \\\"IP: \\\", int(HyperPar[6]),\\\"x\\\",int(HyperPar[7]),\\\"x\\\",int(HyperPar[8])) Ncicles = 500 Nepoch = 1 #Nbatch =\",\n \"Num 12 HyperPar.append(16) # convdepth - Num 13 HyperPar.append(2) # num of categories\",\n \"# Do not display the AVX message about using GPU import os os.environ['TF_CPP_MIN_LOG_LEVEL']\",\n \"# num of categories - Num 14 print(\\\"SG: \\\", int(HyperPar[3]),\\\"x\\\",int(HyperPar[4]),\\\"x\\\",int(HyperPar[5]), \\\"IP: \\\", int(HyperPar[6]),\\\"x\\\",int(HyperPar[7]),\\\"x\\\",int(HyperPar[8]))\",\n \"HyperPar.append(int(7)) # IPsizez - Num 8 HyperPar.append(50) # Percentage of Data Conditioning -\",\n \"is 10 represents 1% HyperPar.append(1) # MinDC - Num 10 HyperPar.append(1500) # Num\",\n \"Fully Connected - Num 11 HyperPar.append(3) # wdnh - Num 12 HyperPar.append(16) #\",\n \"further improvements are well recevied to: <EMAIL> April 16, 2019. Geomet Group -\",\n \"# IPsizey - Num 7 HyperPar.append(int(7)) # IPsizez - Num 8 HyperPar.append(50) #\",\n \"# MinDC - Num 10 HyperPar.append(1500) # Num Fully Connected - Num 11\",\n \"12 HyperPar.append(16) # convdepth - Num 13 HyperPar.append(2) # num of categories -\",\n \"indTrain in range(Ncicles): #HyperPar[9] = np.random.randint(41)+10 cuos = indTrain%(2*StepLR) if cuos < StepLR:\",\n \"Geomet Group - Queen's University - Canada\\\"\\\"\\\" # Do not display the AVX\",\n \"TempSimGrid = fns_nested.Grid(HyperPar=HyperPar, DBname=TrainingImage, Lvl=3,Training=False, Padding=True) TempSimGrid.SavePlot(name=LocModel+'_TI.png', Level=1) MaxLR, MinLR = 0.01, 0.001\",\n \"RCNN approach to perform MPS in 3D for categorical variables. It has been\",\n \"<NAME> and <NAME> in the Geometallurygical Group at Queen's University as part of\",\n \"TempSimGrid.Simulate_4ConvNets_BN_3D(LocModel=LocModel, Cicle=(indTrain+PointStart), Plot=True) print(\\\"[Saving Grid]\\\") TempSimGrid.SaveGrid(file=\\\"{}/TrainReas_{}.txt\\\".format(LocFile, indTrain+PointStart)) print(\\\"[Train]\\\") TempSimGrid.Train_4ConvNets_BN_3D(Epochs=Nepoch, Num_samples=Nsamples, LocModel=LocModel, LR=LearningRate) print(\\\"--%s\",\n \"a PhD program. The code is not free of bugs but running end-to-end.\",\n \"9 .. divided by 3 so 1% is 10 represents 1% HyperPar.append(1) #\",\n \"approach to perform MPS in 3D for categorical variables. It has been developed\",\n \"decimals=2))) gc.collect() print(\\\" \\\") print(\\\"--%s minutes of ALL training-\\\" % ((time.time() - start_time_AllTrain)/60))\",\n \"External_Functions_3D as fns_nested import gc for ind0 in range(1): start_time_AllTrain = time.time() HyperPar\",\n \"'Models/3D_NewRepresentation/Allperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13])) #LocModel = 'Models/3D_NewRepresentation/New%sperc/%sx%sx%s_%sx%sx%s_4ConvNets_4HL_BN_3FC%s_ws%sx%sx%s_%sconvdepth/FeatMaps'%(int(HyperPar[9]), int(HyperPar[3]),int(HyperPar[4]),int(HyperPar[5]), int(HyperPar[6]),int(HyperPar[7]),int(HyperPar[8]), int(HyperPar[11]), int(HyperPar[12]),int(HyperPar[12]),int(HyperPar[12]), int(HyperPar[13]))\",\n \"- Num 13 HyperPar.append(2) # num of categories - Num 14 print(\\\"SG: \\\",\",\n \"print(\\\"SG: \\\", int(HyperPar[3]),\\\"x\\\",int(HyperPar[4]),\\\"x\\\",int(HyperPar[5]), \\\"IP: \\\", int(HyperPar[6]),\\\"x\\\",int(HyperPar[7]),\\\"x\\\",int(HyperPar[8])) Ncicles = 500 Nepoch = 1 #Nbatch\",\n \"- Num 9 .. divided by 3 so 1% is 10 represents 1%\",\n \"3D for categorical variables. It has been developed by <NAME> and <NAME> in\",\n \"######################### import numpy as np import tensorflow as tf import time import External_Functions_3D\",\n \"MinLR, decimals=7) else: LearningRate = np.around(((MaxLR - MinLR)/StepLR)*(StepLR - cuos) + MaxLR, decimals=7)\",\n \"divided by 3 so 1% is 10 represents 1% HyperPar.append(1) # MinDC -\",\n \"of bugs but running end-to-end. Any comments and further improvements are well recevied\",\n \"program. The code is not free of bugs but running end-to-end. Any comments\",\n \"gc for ind0 in range(1): start_time_AllTrain = time.time() HyperPar = [] HyperPar.append(50) #\"\n]","isConversational":false}}},{"rowIdx":1289,"cells":{"ngram":{"kind":"list like","value":["_attributes_from_request(request: HttpRequest) -> Dict: if not request: return dict() attributes = dict() try:","attributes except Exception: logger.exception( \"Unexpected exception while trying to parse http-request for feature-attributes.\"","\"Unexpected exception while trying to parse http-request for feature-attributes.\" ) return dict() def","return dict() def is_feature_enabled(feature_name: str, request: HttpRequest) -> bool: from django.conf import settings","= logging.getLogger(__name__) class FeatureFlagProvider: def is_feature_enabled(self, feature_name: str, user_id: str = None, attributes:","Dict from django.http import HttpRequest logger = logging.getLogger(__name__) class FeatureFlagProvider: def is_feature_enabled(self, feature_name:","is_feature_enabled(self, feature_name: str, user_id: str = None, attributes: Dict = None): raise NotImplementedError(\"You","-> Dict: if not request: return dict() attributes = dict() try: attributes[\"is_staff\"] =","feature_name: str, user_id: str = None, attributes: Dict = None): raise NotImplementedError(\"You must","is_enabled = False attributes = _attributes_from_request(request) try: is_enabled = settings.FEATURE_FLAG_PROVIDER.is_feature_enabled( feature_name=feature_name, user_id=\"dontcare\", attributes=attributes","class FeatureFlagProvider: def is_feature_enabled(self, feature_name: str, user_id: str = None, attributes: Dict =","attributes[\"is_staff\"] = request.user.is_staff return attributes except Exception: logger.exception( \"Unexpected exception while trying to","while trying to parse http-request for feature-attributes.\" ) return dict() def is_feature_enabled(feature_name: str,","= request.user.is_staff return attributes except Exception: logger.exception( \"Unexpected exception while trying to parse","try: is_enabled = settings.FEATURE_FLAG_PROVIDER.is_feature_enabled( feature_name=feature_name, user_id=\"dontcare\", attributes=attributes ) logger.info(f\"Feature '{feature_name}' is enabled={is_enabled}\") except","HttpRequest logger = logging.getLogger(__name__) class FeatureFlagProvider: def is_feature_enabled(self, feature_name: str, user_id: str =","feature_name=feature_name, user_id=\"dontcare\", attributes=attributes ) logger.info(f\"Feature '{feature_name}' is enabled={is_enabled}\") except Exception: logger.exception(f\"Exception while trying","= False attributes = _attributes_from_request(request) try: is_enabled = settings.FEATURE_FLAG_PROVIDER.is_feature_enabled( feature_name=feature_name, user_id=\"dontcare\", attributes=attributes )","NotImplementedError(\"You must override FeatureFlagProvider.is_feature_enabled()\") def _attributes_from_request(request: HttpRequest) -> Dict: if not request: return","= settings.FEATURE_FLAG_PROVIDER.is_feature_enabled( feature_name=feature_name, user_id=\"dontcare\", attributes=attributes ) logger.info(f\"Feature '{feature_name}' is enabled={is_enabled}\") except Exception: logger.exception(f\"Exception","enabled={is_enabled}\") except Exception: logger.exception(f\"Exception while trying to check feature-flag state for '{feature_name}'\") return","= None, attributes: Dict = None): raise NotImplementedError(\"You must override FeatureFlagProvider.is_feature_enabled()\") def _attributes_from_request(request:","HttpRequest) -> Dict: if not request: return dict() attributes = dict() try: attributes[\"is_staff\"]","import logging from typing import Dict from django.http import HttpRequest logger = logging.getLogger(__name__)","user_id=\"dontcare\", attributes=attributes ) logger.info(f\"Feature '{feature_name}' is enabled={is_enabled}\") except Exception: logger.exception(f\"Exception while trying to","user_id: str = None, attributes: Dict = None): raise NotImplementedError(\"You must override FeatureFlagProvider.is_feature_enabled()\")","def is_feature_enabled(self, feature_name: str, user_id: str = None, attributes: Dict = None): raise","dict() def is_feature_enabled(feature_name: str, request: HttpRequest) -> bool: from django.conf import settings is_enabled","= dict() try: attributes[\"is_staff\"] = request.user.is_staff return attributes except Exception: logger.exception( \"Unexpected exception","attributes: Dict = None): raise NotImplementedError(\"You must override FeatureFlagProvider.is_feature_enabled()\") def _attributes_from_request(request: HttpRequest) ->","raise NotImplementedError(\"You must override FeatureFlagProvider.is_feature_enabled()\") def _attributes_from_request(request: HttpRequest) -> Dict: if not request:","request: return dict() attributes = dict() try: attributes[\"is_staff\"] = request.user.is_staff return attributes except","str, request: HttpRequest) -> bool: from django.conf import settings is_enabled = False attributes","is enabled={is_enabled}\") except Exception: logger.exception(f\"Exception while trying to check feature-flag state for '{feature_name}'\")","logger.exception( \"Unexpected exception while trying to parse http-request for feature-attributes.\" ) return dict()","= None): raise NotImplementedError(\"You must override FeatureFlagProvider.is_feature_enabled()\") def _attributes_from_request(request: HttpRequest) -> Dict: if","attributes = dict() try: attributes[\"is_staff\"] = request.user.is_staff return attributes except Exception: logger.exception( \"Unexpected",") logger.info(f\"Feature '{feature_name}' is enabled={is_enabled}\") except Exception: logger.exception(f\"Exception while trying to check feature-flag","return attributes except Exception: logger.exception( \"Unexpected exception while trying to parse http-request for","def is_feature_enabled(feature_name: str, request: HttpRequest) -> bool: from django.conf import settings is_enabled =","import Dict from django.http import HttpRequest logger = logging.getLogger(__name__) class FeatureFlagProvider: def is_feature_enabled(self,","attributes=attributes ) logger.info(f\"Feature '{feature_name}' is enabled={is_enabled}\") except Exception: logger.exception(f\"Exception while trying to check","import settings is_enabled = False attributes = _attributes_from_request(request) try: is_enabled = settings.FEATURE_FLAG_PROVIDER.is_feature_enabled( feature_name=feature_name,","settings.FEATURE_FLAG_PROVIDER.is_feature_enabled( feature_name=feature_name, user_id=\"dontcare\", attributes=attributes ) logger.info(f\"Feature '{feature_name}' is enabled={is_enabled}\") except Exception: logger.exception(f\"Exception while","to parse http-request for feature-attributes.\" ) return dict() def is_feature_enabled(feature_name: str, request: HttpRequest)","= _attributes_from_request(request) try: is_enabled = settings.FEATURE_FLAG_PROVIDER.is_feature_enabled( feature_name=feature_name, user_id=\"dontcare\", attributes=attributes ) logger.info(f\"Feature '{feature_name}' is","attributes = _attributes_from_request(request) try: is_enabled = settings.FEATURE_FLAG_PROVIDER.is_feature_enabled( feature_name=feature_name, user_id=\"dontcare\", attributes=attributes ) logger.info(f\"Feature '{feature_name}'","import HttpRequest logger = logging.getLogger(__name__) class FeatureFlagProvider: def is_feature_enabled(self, feature_name: str, user_id: str","dict() try: attributes[\"is_staff\"] = request.user.is_staff return attributes except Exception: logger.exception( \"Unexpected exception while","-> bool: from django.conf import settings is_enabled = False attributes = _attributes_from_request(request) try:","django.conf import settings is_enabled = False attributes = _attributes_from_request(request) try: is_enabled = settings.FEATURE_FLAG_PROVIDER.is_feature_enabled(","'{feature_name}' is enabled={is_enabled}\") except Exception: logger.exception(f\"Exception while trying to check feature-flag state for","from typing import Dict from django.http import HttpRequest logger = logging.getLogger(__name__) class FeatureFlagProvider:","logging.getLogger(__name__) class FeatureFlagProvider: def is_feature_enabled(self, feature_name: str, user_id: str = None, attributes: Dict","trying to parse http-request for feature-attributes.\" ) return dict() def is_feature_enabled(feature_name: str, request:","except Exception: logger.exception(f\"Exception while trying to check feature-flag state for '{feature_name}'\") return is_enabled","for feature-attributes.\" ) return dict() def is_feature_enabled(feature_name: str, request: HttpRequest) -> bool: from","if not request: return dict() attributes = dict() try: attributes[\"is_staff\"] = request.user.is_staff return","FeatureFlagProvider.is_feature_enabled()\") def _attributes_from_request(request: HttpRequest) -> Dict: if not request: return dict() attributes =","False attributes = _attributes_from_request(request) try: is_enabled = settings.FEATURE_FLAG_PROVIDER.is_feature_enabled( feature_name=feature_name, user_id=\"dontcare\", attributes=attributes ) logger.info(f\"Feature","_attributes_from_request(request) try: is_enabled = settings.FEATURE_FLAG_PROVIDER.is_feature_enabled( feature_name=feature_name, user_id=\"dontcare\", attributes=attributes ) logger.info(f\"Feature '{feature_name}' is enabled={is_enabled}\")","return dict() attributes = dict() try: attributes[\"is_staff\"] = request.user.is_staff return attributes except Exception:","http-request for feature-attributes.\" ) return dict() def is_feature_enabled(feature_name: str, request: HttpRequest) -> bool:","is_enabled = settings.FEATURE_FLAG_PROVIDER.is_feature_enabled( feature_name=feature_name, user_id=\"dontcare\", attributes=attributes ) logger.info(f\"Feature '{feature_name}' is enabled={is_enabled}\") except Exception:","logger = logging.getLogger(__name__) class FeatureFlagProvider: def is_feature_enabled(self, feature_name: str, user_id: str = None,","exception while trying to parse http-request for feature-attributes.\" ) return dict() def is_feature_enabled(feature_name:","request.user.is_staff return attributes except Exception: logger.exception( \"Unexpected exception while trying to parse http-request","bool: from django.conf import settings is_enabled = False attributes = _attributes_from_request(request) try: is_enabled","parse http-request for feature-attributes.\" ) return dict() def is_feature_enabled(feature_name: str, request: HttpRequest) ->","str, user_id: str = None, attributes: Dict = None): raise NotImplementedError(\"You must override","logging from typing import Dict from django.http import HttpRequest logger = logging.getLogger(__name__) class","None, attributes: Dict = None): raise NotImplementedError(\"You must override FeatureFlagProvider.is_feature_enabled()\") def _attributes_from_request(request: HttpRequest)","try: attributes[\"is_staff\"] = request.user.is_staff return attributes except Exception: logger.exception( \"Unexpected exception while trying","feature-attributes.\" ) return dict() def is_feature_enabled(feature_name: str, request: HttpRequest) -> bool: from django.conf","HttpRequest) -> bool: from django.conf import settings is_enabled = False attributes = _attributes_from_request(request)","Dict = None): raise NotImplementedError(\"You must override FeatureFlagProvider.is_feature_enabled()\") def _attributes_from_request(request: HttpRequest) -> Dict:","not request: return dict() attributes = dict() try: attributes[\"is_staff\"] = request.user.is_staff return attributes","request: HttpRequest) -> bool: from django.conf import settings is_enabled = False attributes =","settings is_enabled = False attributes = _attributes_from_request(request) try: is_enabled = settings.FEATURE_FLAG_PROVIDER.is_feature_enabled( feature_name=feature_name, user_id=\"dontcare\",","typing import Dict from django.http import HttpRequest logger = logging.getLogger(__name__) class FeatureFlagProvider: def","is_feature_enabled(feature_name: str, request: HttpRequest) -> bool: from django.conf import settings is_enabled = False","FeatureFlagProvider: def is_feature_enabled(self, feature_name: str, user_id: str = None, attributes: Dict = None):","override FeatureFlagProvider.is_feature_enabled()\") def _attributes_from_request(request: HttpRequest) -> Dict: if not request: return dict() attributes","Exception: logger.exception( \"Unexpected exception while trying to parse http-request for feature-attributes.\" ) return","logger.info(f\"Feature '{feature_name}' is enabled={is_enabled}\") except Exception: logger.exception(f\"Exception while trying to check feature-flag state","from django.http import HttpRequest logger = logging.getLogger(__name__) class FeatureFlagProvider: def is_feature_enabled(self, feature_name: str,","Dict: if not request: return dict() attributes = dict() try: attributes[\"is_staff\"] = request.user.is_staff","except Exception: logger.exception( \"Unexpected exception while trying to parse http-request for feature-attributes.\" )","str = None, attributes: Dict = None): raise NotImplementedError(\"You must override FeatureFlagProvider.is_feature_enabled()\") def","must override FeatureFlagProvider.is_feature_enabled()\") def _attributes_from_request(request: HttpRequest) -> Dict: if not request: return dict()",") return dict() def is_feature_enabled(feature_name: str, request: HttpRequest) -> bool: from django.conf import","django.http import HttpRequest logger = logging.getLogger(__name__) class FeatureFlagProvider: def is_feature_enabled(self, feature_name: str, user_id:","None): raise NotImplementedError(\"You must override FeatureFlagProvider.is_feature_enabled()\") def _attributes_from_request(request: HttpRequest) -> Dict: if not","def _attributes_from_request(request: HttpRequest) -> Dict: if not request: return dict() attributes = dict()","from django.conf import settings is_enabled = False attributes = _attributes_from_request(request) try: is_enabled =","dict() attributes = dict() try: attributes[\"is_staff\"] = request.user.is_staff return attributes except Exception: logger.exception("],"string":"[\n \"_attributes_from_request(request: HttpRequest) -> Dict: if not request: return dict() attributes = dict() try:\",\n \"attributes except Exception: logger.exception( \\\"Unexpected exception while trying to parse http-request for feature-attributes.\\\"\",\n \"\\\"Unexpected exception while trying to parse http-request for feature-attributes.\\\" ) return dict() def\",\n \"return dict() def is_feature_enabled(feature_name: str, request: HttpRequest) -> bool: from django.conf import settings\",\n \"= logging.getLogger(__name__) class FeatureFlagProvider: def is_feature_enabled(self, feature_name: str, user_id: str = None, attributes:\",\n \"Dict from django.http import HttpRequest logger = logging.getLogger(__name__) class FeatureFlagProvider: def is_feature_enabled(self, feature_name:\",\n \"is_feature_enabled(self, feature_name: str, user_id: str = None, attributes: Dict = None): raise NotImplementedError(\\\"You\",\n \"-> Dict: if not request: return dict() attributes = dict() try: attributes[\\\"is_staff\\\"] =\",\n \"feature_name: str, user_id: str = None, attributes: Dict = None): raise NotImplementedError(\\\"You must\",\n \"is_enabled = False attributes = _attributes_from_request(request) try: is_enabled = settings.FEATURE_FLAG_PROVIDER.is_feature_enabled( feature_name=feature_name, user_id=\\\"dontcare\\\", attributes=attributes\",\n \"class FeatureFlagProvider: def is_feature_enabled(self, feature_name: str, user_id: str = None, attributes: Dict =\",\n \"attributes[\\\"is_staff\\\"] = request.user.is_staff return attributes except Exception: logger.exception( \\\"Unexpected exception while trying to\",\n \"while trying to parse http-request for feature-attributes.\\\" ) return dict() def is_feature_enabled(feature_name: str,\",\n \"= request.user.is_staff return attributes except Exception: logger.exception( \\\"Unexpected exception while trying to parse\",\n \"try: is_enabled = settings.FEATURE_FLAG_PROVIDER.is_feature_enabled( feature_name=feature_name, user_id=\\\"dontcare\\\", attributes=attributes ) logger.info(f\\\"Feature '{feature_name}' is enabled={is_enabled}\\\") except\",\n \"HttpRequest logger = logging.getLogger(__name__) class FeatureFlagProvider: def is_feature_enabled(self, feature_name: str, user_id: str =\",\n \"feature_name=feature_name, user_id=\\\"dontcare\\\", attributes=attributes ) logger.info(f\\\"Feature '{feature_name}' is enabled={is_enabled}\\\") except Exception: logger.exception(f\\\"Exception while trying\",\n \"= False attributes = _attributes_from_request(request) try: is_enabled = settings.FEATURE_FLAG_PROVIDER.is_feature_enabled( feature_name=feature_name, user_id=\\\"dontcare\\\", attributes=attributes )\",\n \"NotImplementedError(\\\"You must override FeatureFlagProvider.is_feature_enabled()\\\") def _attributes_from_request(request: HttpRequest) -> Dict: if not request: return\",\n \"= settings.FEATURE_FLAG_PROVIDER.is_feature_enabled( feature_name=feature_name, user_id=\\\"dontcare\\\", attributes=attributes ) logger.info(f\\\"Feature '{feature_name}' is enabled={is_enabled}\\\") except Exception: logger.exception(f\\\"Exception\",\n \"enabled={is_enabled}\\\") except Exception: logger.exception(f\\\"Exception while trying to check feature-flag state for '{feature_name}'\\\") return\",\n \"= None, attributes: Dict = None): raise NotImplementedError(\\\"You must override FeatureFlagProvider.is_feature_enabled()\\\") def _attributes_from_request(request:\",\n \"HttpRequest) -> Dict: if not request: return dict() attributes = dict() try: attributes[\\\"is_staff\\\"]\",\n \"import logging from typing import Dict from django.http import HttpRequest logger = logging.getLogger(__name__)\",\n \"user_id=\\\"dontcare\\\", attributes=attributes ) logger.info(f\\\"Feature '{feature_name}' is enabled={is_enabled}\\\") except Exception: logger.exception(f\\\"Exception while trying to\",\n \"user_id: str = None, attributes: Dict = None): raise NotImplementedError(\\\"You must override FeatureFlagProvider.is_feature_enabled()\\\")\",\n \"def is_feature_enabled(self, feature_name: str, user_id: str = None, attributes: Dict = None): raise\",\n \"dict() def is_feature_enabled(feature_name: str, request: HttpRequest) -> bool: from django.conf import settings is_enabled\",\n \"= dict() try: attributes[\\\"is_staff\\\"] = request.user.is_staff return attributes except Exception: logger.exception( \\\"Unexpected exception\",\n \"attributes: Dict = None): raise NotImplementedError(\\\"You must override FeatureFlagProvider.is_feature_enabled()\\\") def _attributes_from_request(request: HttpRequest) ->\",\n \"raise NotImplementedError(\\\"You must override FeatureFlagProvider.is_feature_enabled()\\\") def _attributes_from_request(request: HttpRequest) -> Dict: if not request:\",\n \"request: return dict() attributes = dict() try: attributes[\\\"is_staff\\\"] = request.user.is_staff return attributes except\",\n \"str, request: HttpRequest) -> bool: from django.conf import settings is_enabled = False attributes\",\n \"is enabled={is_enabled}\\\") except Exception: logger.exception(f\\\"Exception while trying to check feature-flag state for '{feature_name}'\\\")\",\n \"logger.exception( \\\"Unexpected exception while trying to parse http-request for feature-attributes.\\\" ) return dict()\",\n \"= None): raise NotImplementedError(\\\"You must override FeatureFlagProvider.is_feature_enabled()\\\") def _attributes_from_request(request: HttpRequest) -> Dict: if\",\n \"attributes = dict() try: attributes[\\\"is_staff\\\"] = request.user.is_staff return attributes except Exception: logger.exception( \\\"Unexpected\",\n \") logger.info(f\\\"Feature '{feature_name}' is enabled={is_enabled}\\\") except Exception: logger.exception(f\\\"Exception while trying to check feature-flag\",\n \"return attributes except Exception: logger.exception( \\\"Unexpected exception while trying to parse http-request for\",\n \"def is_feature_enabled(feature_name: str, request: HttpRequest) -> bool: from django.conf import settings is_enabled =\",\n \"import Dict from django.http import HttpRequest logger = logging.getLogger(__name__) class FeatureFlagProvider: def is_feature_enabled(self,\",\n \"attributes=attributes ) logger.info(f\\\"Feature '{feature_name}' is enabled={is_enabled}\\\") except Exception: logger.exception(f\\\"Exception while trying to check\",\n \"import settings is_enabled = False attributes = _attributes_from_request(request) try: is_enabled = settings.FEATURE_FLAG_PROVIDER.is_feature_enabled( feature_name=feature_name,\",\n \"settings.FEATURE_FLAG_PROVIDER.is_feature_enabled( feature_name=feature_name, user_id=\\\"dontcare\\\", attributes=attributes ) logger.info(f\\\"Feature '{feature_name}' is enabled={is_enabled}\\\") except Exception: logger.exception(f\\\"Exception while\",\n \"to parse http-request for feature-attributes.\\\" ) return dict() def is_feature_enabled(feature_name: str, request: HttpRequest)\",\n \"= _attributes_from_request(request) try: is_enabled = settings.FEATURE_FLAG_PROVIDER.is_feature_enabled( feature_name=feature_name, user_id=\\\"dontcare\\\", attributes=attributes ) logger.info(f\\\"Feature '{feature_name}' is\",\n \"attributes = _attributes_from_request(request) try: is_enabled = settings.FEATURE_FLAG_PROVIDER.is_feature_enabled( feature_name=feature_name, user_id=\\\"dontcare\\\", attributes=attributes ) logger.info(f\\\"Feature '{feature_name}'\",\n \"import HttpRequest logger = logging.getLogger(__name__) class FeatureFlagProvider: def is_feature_enabled(self, feature_name: str, user_id: str\",\n \"dict() try: attributes[\\\"is_staff\\\"] = request.user.is_staff return attributes except Exception: logger.exception( \\\"Unexpected exception while\",\n \"-> bool: from django.conf import settings is_enabled = False attributes = _attributes_from_request(request) try:\",\n \"django.conf import settings is_enabled = False attributes = _attributes_from_request(request) try: is_enabled = settings.FEATURE_FLAG_PROVIDER.is_feature_enabled(\",\n \"'{feature_name}' is enabled={is_enabled}\\\") except Exception: logger.exception(f\\\"Exception while trying to check feature-flag state for\",\n \"from typing import Dict from django.http import HttpRequest logger = logging.getLogger(__name__) class FeatureFlagProvider:\",\n \"logging.getLogger(__name__) class FeatureFlagProvider: def is_feature_enabled(self, feature_name: str, user_id: str = None, attributes: Dict\",\n \"trying to parse http-request for feature-attributes.\\\" ) return dict() def is_feature_enabled(feature_name: str, request:\",\n \"except Exception: logger.exception(f\\\"Exception while trying to check feature-flag state for '{feature_name}'\\\") return is_enabled\",\n \"for feature-attributes.\\\" ) return dict() def is_feature_enabled(feature_name: str, request: HttpRequest) -> bool: from\",\n \"if not request: return dict() attributes = dict() try: attributes[\\\"is_staff\\\"] = request.user.is_staff return\",\n \"FeatureFlagProvider.is_feature_enabled()\\\") def _attributes_from_request(request: HttpRequest) -> Dict: if not request: return dict() attributes =\",\n \"False attributes = _attributes_from_request(request) try: is_enabled = settings.FEATURE_FLAG_PROVIDER.is_feature_enabled( feature_name=feature_name, user_id=\\\"dontcare\\\", attributes=attributes ) logger.info(f\\\"Feature\",\n \"_attributes_from_request(request) try: is_enabled = settings.FEATURE_FLAG_PROVIDER.is_feature_enabled( feature_name=feature_name, user_id=\\\"dontcare\\\", attributes=attributes ) logger.info(f\\\"Feature '{feature_name}' is enabled={is_enabled}\\\")\",\n \"return dict() attributes = dict() try: attributes[\\\"is_staff\\\"] = request.user.is_staff return attributes except Exception:\",\n \"http-request for feature-attributes.\\\" ) return dict() def is_feature_enabled(feature_name: str, request: HttpRequest) -> bool:\",\n \"is_enabled = settings.FEATURE_FLAG_PROVIDER.is_feature_enabled( feature_name=feature_name, user_id=\\\"dontcare\\\", attributes=attributes ) logger.info(f\\\"Feature '{feature_name}' is enabled={is_enabled}\\\") except Exception:\",\n \"logger = logging.getLogger(__name__) class FeatureFlagProvider: def is_feature_enabled(self, feature_name: str, user_id: str = None,\",\n \"exception while trying to parse http-request for feature-attributes.\\\" ) return dict() def is_feature_enabled(feature_name:\",\n \"request.user.is_staff return attributes except Exception: logger.exception( \\\"Unexpected exception while trying to parse http-request\",\n \"bool: from django.conf import settings is_enabled = False attributes = _attributes_from_request(request) try: is_enabled\",\n \"parse http-request for feature-attributes.\\\" ) return dict() def is_feature_enabled(feature_name: str, request: HttpRequest) ->\",\n \"str, user_id: str = None, attributes: Dict = None): raise NotImplementedError(\\\"You must override\",\n \"logging from typing import Dict from django.http import HttpRequest logger = logging.getLogger(__name__) class\",\n \"None, attributes: Dict = None): raise NotImplementedError(\\\"You must override FeatureFlagProvider.is_feature_enabled()\\\") def _attributes_from_request(request: HttpRequest)\",\n \"try: attributes[\\\"is_staff\\\"] = request.user.is_staff return attributes except Exception: logger.exception( \\\"Unexpected exception while trying\",\n \"feature-attributes.\\\" ) return dict() def is_feature_enabled(feature_name: str, request: HttpRequest) -> bool: from django.conf\",\n \"HttpRequest) -> bool: from django.conf import settings is_enabled = False attributes = _attributes_from_request(request)\",\n \"Dict = None): raise NotImplementedError(\\\"You must override FeatureFlagProvider.is_feature_enabled()\\\") def _attributes_from_request(request: HttpRequest) -> Dict:\",\n \"not request: return dict() attributes = dict() try: attributes[\\\"is_staff\\\"] = request.user.is_staff return attributes\",\n \"request: HttpRequest) -> bool: from django.conf import settings is_enabled = False attributes =\",\n \"settings is_enabled = False attributes = _attributes_from_request(request) try: is_enabled = settings.FEATURE_FLAG_PROVIDER.is_feature_enabled( feature_name=feature_name, user_id=\\\"dontcare\\\",\",\n \"typing import Dict from django.http import HttpRequest logger = logging.getLogger(__name__) class FeatureFlagProvider: def\",\n \"is_feature_enabled(feature_name: str, request: HttpRequest) -> bool: from django.conf import settings is_enabled = False\",\n \"FeatureFlagProvider: def is_feature_enabled(self, feature_name: str, user_id: str = None, attributes: Dict = None):\",\n \"override FeatureFlagProvider.is_feature_enabled()\\\") def _attributes_from_request(request: HttpRequest) -> Dict: if not request: return dict() attributes\",\n \"Exception: logger.exception( \\\"Unexpected exception while trying to parse http-request for feature-attributes.\\\" ) return\",\n \"logger.info(f\\\"Feature '{feature_name}' is enabled={is_enabled}\\\") except Exception: logger.exception(f\\\"Exception while trying to check feature-flag state\",\n \"from django.http import HttpRequest logger = logging.getLogger(__name__) class FeatureFlagProvider: def is_feature_enabled(self, feature_name: str,\",\n \"Dict: if not request: return dict() attributes = dict() try: attributes[\\\"is_staff\\\"] = request.user.is_staff\",\n \"except Exception: logger.exception( \\\"Unexpected exception while trying to parse http-request for feature-attributes.\\\" )\",\n \"str = None, attributes: Dict = None): raise NotImplementedError(\\\"You must override FeatureFlagProvider.is_feature_enabled()\\\") def\",\n \"must override FeatureFlagProvider.is_feature_enabled()\\\") def _attributes_from_request(request: HttpRequest) -> Dict: if not request: return dict()\",\n \") return dict() def is_feature_enabled(feature_name: str, request: HttpRequest) -> bool: from django.conf import\",\n \"django.http import HttpRequest logger = logging.getLogger(__name__) class FeatureFlagProvider: def is_feature_enabled(self, feature_name: str, user_id:\",\n \"None): raise NotImplementedError(\\\"You must override FeatureFlagProvider.is_feature_enabled()\\\") def _attributes_from_request(request: HttpRequest) -> Dict: if not\",\n \"def _attributes_from_request(request: HttpRequest) -> Dict: if not request: return dict() attributes = dict()\",\n \"from django.conf import settings is_enabled = False attributes = _attributes_from_request(request) try: is_enabled =\",\n \"dict() attributes = dict() try: attributes[\\\"is_staff\\\"] = request.user.is_staff return attributes except Exception: logger.exception(\"\n]","isConversational":false}}},{"rowIdx":1290,"cells":{"ngram":{"kind":"list like","value":[],"string":"[]","isConversational":false}}},{"rowIdx":1291,"cells":{"ngram":{"kind":"list like","value":["black | +------+---------+ 3. Number between 0 and 1 that represents the level","same length as `vlines_x`. If None will take from the color pallette in","the color pallette in the current plot style. vlines_linestyles: [optional, defaults to None]","for bar plots. drawstyle : str [optional, default is 'default'] 'default' connects the","markerstyles=markerstyles, bar_hatchstyles=bar_hatchstyles, style=style, logx=logx, logy=logy, xaxis=xaxis, yaxis=yaxis, xlim=xlim, ylim=ylim, secondary_y=secondary_y, mark_right=mark_right, scatter_matrix_diagonal=scatter_matrix_diagonal, bootstrap_size=bootstrap_size,","import warnings import mando import numpy as np import pandas as pd from","is not None: l = next(ilinestyles) else: l = None if c is","0 and 1 that represents the level of gray, where 0 is white","round_index=round_index, dropna=\"all\", source_units=source_units, target_units=target_units, clean=clean, por=por, ) tsd, lnames = plotutils.check(type, tsd, legend_names)","--logy, --norm_xaxis, --norm_yaxis, --lognorm_xaxis, and * --lognorm_yaxis options are deprecated. * * For","else: c = None if imarkerstyles is not None: m = next(imarkerstyles) else:","| ' ' | nothing | +-------+----------------+ | '' | nothing | +-------+----------------+","| +-----------------+-------------------+ | + | crossed | +-----------------+-------------------+ | x | crossed diagonal","the entire plot. vlines_ymax: [optional, defaults to None] List of maximum x values","will override the others. Comma separated matplotlib style strings per time-series. Just combine","separated list, or a list of strings if using the Python API. To","+-----------------+-------------------+ | . | dots | +-----------------+-------------------+ | * | stars | +-----------------+-------------------+","linestyles = tsutils.make_list(linestyles) if bar_hatchstyles == \"auto\": bar_hatchstyles = plotutils.HATCH_LIST else: bar_hatchstyles =","# \"seaborn-bright\", # \"seaborn-colorblind\", # \"seaborn-dark\", # \"seaborn-dark-palette\", # \"seaborn-darkgrid\", # \"seaborn-deep\", #","lines. If a single linestyle then will be used as the linestyle for","each time-series in the data set. subplots [optional, defaults to False] Make separate","# \"retro\", # ], # ], # None, # ], # hlines_y=[float, [\"pass\",","value for all vertical lines. A missing value or None will end at","cyan | +------+---------+ | m | magenta | +------+---------+ | y | yellow","NANs from beginning and end. {force_freq} invert_xaxis [optional, default is False] Invert the","[optional, default to 1] The lag used if ``type`` \"lag_plot\" is chosen. xtitle","bar plots. drawstyle : str [optional, default is 'default'] 'default' connects the points","or more of Matplotlib styles \"classic\", \"Solarize_Light2\", \"bmh\", \"dark_background\", \"fast\", \"fivethirtyeight\", \"ggplot\", \"grayscale\",","): warnings.warn( \"\"\" * * The --logx, --logy, --norm_xaxis, --norm_yaxis, --lognorm_xaxis, and *","changed or added to as needed. lag_plot_lag [optional, default to 1] The lag","division, print_function import itertools import os import warnings import mando import numpy as","for the vertical lines. If a single linestyle then will be used as","| _ | hlines_y | +-------+----------------+ | None | nothing | +-------+----------------+ |","1, # ], # prob_plot_sort_values=[str, [\"domain\", [\"ascending\", \"descending\"]], 1], # plot_styles=[ # str,","green | +------+---------+ | r | red | +------+---------+ | c | cyan","\"ggplot\", # \"grayscale\", # \"seaborn\", # \"seaborn-bright\", # \"seaborn-colorblind\", # \"seaborn-dark\", # \"seaborn-dark-palette\",","xtitle=[str, [\"pass\", []], 1], # ytitle=[str, [\"pass\", []], 1], # title=[str, [\"pass\", []],","ytitle = ytitle or \"Density\" if legend is True: plt.legend(loc=\"best\") if hlines_y is","default is 'arithmetic'] Defines the type of the yaxis. One of 'arithmetic', 'log'.","\"\"\" * * The --logx, --logy, --norm_xaxis, --norm_yaxis, --lognorm_xaxis, and * --lognorm_yaxis options","* For --logx use --xaxis=\"log\" * For --logy use --yaxis=\"log\" * For --norm_xaxis","bootstrap_samples=500, norm_xaxis=False, norm_yaxis=False, lognorm_xaxis=False, lognorm_yaxis=False, xy_match_line=\"\", grid=False, label_rotation=None, label_skip=1, force_freq=None, drawstyle=\"default\", por=False, invert_xaxis=False,","itertools.cycle(markerstyles) ilinestyles = itertools.cycle(linestyles) # Only for bar, barh, bar_stacked, and barh_stacked. ibar_hatchstyles","= tsutils.make_list(vlines_colors) vlines_linestyles = tsutils.make_list(vlines_linestyles) nylim = ax.get_ylim() if vlines_ymin is None: vlines_ymin","[\"pass\", []], 1], # label_skip=[int, [\"range\", [1, None]], 1], # drawstyle=[str, [\"pass\", []],","else i for i in markerstyles] if colors is not None: icolors =","Output filename for the plot. Extension defines the type, for example 'filename.png' will","| +-------+----------------+ | v | triangle down | +-------+----------------+ | ^ | triangle","| stars | +-----------------+-------------------+ logx DEPRECATED: use '--xaxis=\"log\"' instead. logy DEPRECATED: use '--yaxis=\"log\"'","lognorm_yaxis=lognorm_yaxis, xy_match_line=xy_match_line, grid=grid, label_rotation=label_rotation, label_skip=label_skip, force_freq=force_freq, drawstyle=drawstyle, por=por, invert_xaxis=invert_xaxis, invert_yaxis=invert_yaxis, round_index=round_index, plotting_position=plotting_position, prob_plot_sort_values=prob_plot_sort_values,","of minimum x values to start the horizontal line. If a list must","strings per time-series. Just combine codes in 'ColorMarkerLine' order, for example 'r*--' is","+---------+--------------+ | Code | Lines | +=========+==============+ | ``-`` | solid | +---------+--------------+","\", \" \"] + plotutils.LINE_LIST], # None, # ], # vlines_x=[float, [\"pass\", []],","True or norm_xaxis is True or norm_yaxis is True or lognorm_xaxis is True","int [optional] Rotation for major labels for bar plots. label_skip : int [optional]","if linestyles is None: linestyles = [\" \"] else: linestyles = [\" \"","colors is not None: icolors = itertools.cycle(colors) else: icolors = None imarkerstyles =","plt.xlabel(xtitle) plt.ylabel(ytitle) if invert_xaxis is True: plt.gca().invert_xaxis() if invert_yaxis is True: plt.gca().invert_yaxis() plt.grid(grid)","separated list, or a list of strings if using the Python API. +-----------------+-------------------+","iterate through the available matplotlib hatch types. Otherwise on the command line a","hatching | +-----------------+-------------------+ | ``\\`` | back diagonal | +-----------------+-------------------+ | ``|`` |","available matplotlib marker types. Otherwise on the command line a comma separated list,","for all horizontal lines. A missing value or None will start at the","circle | +-----------------+-------------------+ | O | large circle | +-----------------+-------------------+ | . |","to None] List of colors for the vertical lines. If a single color","and weibull_yaxis. prob_plot_sort_values : str [optional, default is 'descending'] How to sort the","needed. lag_plot_lag [optional, default to 1] The lag used if ``type`` \"lag_plot\" is","plot from 1 to 1000, where '--xlim ,1000' would base the lower limit","# str, # [ # \"domain\", # [ # \"classic\", # \"Solarize_Light2\", #","for 'bootstrap' plot. bootstrap_samples [optional, defaults to 500] The number of random subsets","must be same length as `vlines_x`. If None will take for the standard","are setup to be able to be distinguished by someone with color blindness.","\" if i in [\" \", None] else i for i in linestyles]","\"1\": beginstr = 3 else: beginstr = 1 if pltfreq == \"none\": short_freq","freq string (day) OR (2 day) short_freq = \"({})\".format(pltfreq[beginstr:-1]) except AttributeError: short_freq =","'10,6.5'] The 'width,height' of plot in inches. legend [optional, defaults to True] Whether","line. If a list must be same length as `hlines_y`. If a single","x value for the entire plot. vlines_ymax: [optional, defaults to None] List of","False] Whether to plot grid lines on the major ticks. label_rotation : int","and gray, however the \"ieee\" also will change the chart size to fit","None] List of minimum x values to start the horizontal line. If a","xlim=None, ylim=None, secondary_y=False, mark_right=True, scatter_matrix_diagonal=\"kde\", bootstrap_size=50, bootstrap_samples=500, norm_xaxis=False, norm_yaxis=False, lognorm_xaxis=False, lognorm_yaxis=False, xy_match_line=\"\", grid=False,","column of the \"IEEE\" journal. The \"grayscale\" is another style useful for photo-copyable","tsutils.make_list(hlines_xmin) hlines_xmax = tsutils.make_list(hlines_xmax) hlines_colors = tsutils.make_list(hlines_colors) hlines_linestyles = tsutils.make_list(hlines_linestyles) nxlim = ax.get_xlim()","triangle down | +-------+----------------+ | ^ | triangle up | +-------+----------------+ | <","and set the upper limit to 1000. ylim [optional, default is based on","a list/tuple, which time-series to plot on secondary y-axis. mark_right [optional, default is",") ) ) colors = [] markerstyles = [] linestyles = [] for","| circle | +-------+----------------+ | v | triangle down | +-------+----------------+ | ^","density estimation of probability density function. \"kde\" will create a plot of estimation","have {} time-series. \"\"\".format( style, len(nstyle), len(tsd.columns) ) ) ) colors = []","plot. bootstrap_samples [optional, defaults to 500] The number of random subsets of 'bootstrap_size'.","# \"bmh\", # \"dark_background\", # \"fast\", # \"fivethirtyeight\", # \"ggplot\", # \"grayscale\", #","filename for the plot. Extension defines the type, for example 'filename.png' will create","xtitle=\"\", ytitle=\"\", title=\"\", figsize=\"10,6.0\", legend=None, legend_names=None, subplots=False, sharex=True, sharey=False, colors=\"auto\", linestyles=\"auto\", markerstyles=\" \",","1] The lag used if ``type`` \"lag_plot\" is chosen. xtitle : str [optional,","line. hlines_xmin: [optional, defaults to None] List of minimum x values to start","at the maximum x value for the entire plot. vlines_colors: [optional, defaults to","import os import warnings import mando import numpy as np import pandas as","logx=logx, logy=logy, xaxis=xaxis, yaxis=yaxis, xlim=xlim, ylim=ylim, secondary_y=secondary_y, mark_right=mark_right, scatter_matrix_diagonal=scatter_matrix_diagonal, bootstrap_size=bootstrap_size, bootstrap_samples=bootstrap_samples, norm_xaxis=norm_xaxis, norm_yaxis=norm_yaxis,","matplotlib line types. Otherwise on the command line a comma separated list, or","is True ): warnings.warn( \"\"\" * * The --logx, --logy, --norm_xaxis, --norm_yaxis, --lognorm_xaxis,","| O | large circle | +-----------------+-------------------+ | . | dots | +-----------------+-------------------+","a comma separated matplotlib color codes, or within Python a list of color","minimum x values to start the horizontal line. If a list must be","is not None: hlines_y = tsutils.make_list(hlines_y) hlines_xmin = tsutils.make_list(hlines_xmin) hlines_xmax = tsutils.make_list(hlines_xmax) hlines_colors","options are deprecated. * * For --logx use --xaxis=\"log\" * For --logy use","list of strings for each time-series in the data set. subplots [optional, defaults","[optional, default is False] Invert the x-axis. invert_yaxis [optional, default is False] Invert","be distinguished by someone with color blindness. Black, White, and Gray Styles The","# xaxis=[str, [\"domain\", [\"arithmetic\", \"log\"]], 1], # yaxis=[str, [\"domain\", [\"arithmetic\", \"log\"]], 1], #","Python a list of color code strings. Can identify colors in four different","\"seaborn-deep\", \"seaborn-muted\", \"seaborn-notebook\", \"seaborn-paper\", \"seaborn-pastel\", \"seaborn-poster\", \"seaborn-talk\", \"seaborn-ticks\", \"seaborn-white\", \"seaborn-whitegrid\", \"tableau-colorblind10\", and SciencePlots","matplotlib.use(\"Agg\") import matplotlib.pyplot as plt from matplotlib.ticker import FixedLocator tsd = tsutils.common_kwds( input_ts,","on ``type``] Title of y-axis. title : str [optional, defaults to ''] Title","linestyles=\"auto\", markerstyles=\" \", bar_hatchstyles=\"auto\", style=\"auto\", logx=False, logy=False, xaxis=\"arithmetic\", yaxis=\"arithmetic\", xlim=None, ylim=None, secondary_y=False, mark_right=True,","through the available matplotlib hatch types. Otherwise on the command line a comma","be used as the minimum x values for all horizontal lines. A missing","' | nothing | +-------+----------------+ | '' | nothing | +-------+----------------+ Marker reference:","as `hlines_y`. If a single number will be the maximum x value for","characteristics of the previous. Color Blind Appropriate Styles The styles \"seaborn-colorblind\", \"tableau-colorblind10\", \"bright\",","crossed | +-----------------+-------------------+ | x | crossed diagonal | +-----------------+-------------------+ | o |","style. At the command line supply a comma separated matplotlib color codes, or","3 else: beginstr = 1 if pltfreq == \"none\": short_freq = \"\" else:","data called kernel density estimation (KDE). {ydata} Parameters ---------- {input_ts} ofilename : str","i in [\" \", None] else i for i in linestyles] markerstyles =","One of 'arithmetic', 'log'. secondary_y [optional, default is False] Whether to plot on","``type``] Title of y-axis. title : str [optional, defaults to ''] Title of","| H | hexagon2 | +-------+----------------+ | ``+`` | plus | +-------+----------------+ |","plot. One or more of Matplotlib styles \"classic\", \"Solarize_Light2\", \"bmh\", \"dark_background\", \"fast\", \"fivethirtyeight\",","names in the data set. You must supply a comma separated list of","mando.rst_text_formatter import RSTHelpFormatter from tstoolbox import tsutils from .. import plotutils warnings.filterwarnings(\"ignore\") @mando.command(\"kde\",","= bool(legend == \"\" or legend == \"True\" or legend is None) type","'kde' for Kernel Density Estimation or 'hist' for a histogram. bootstrap_size : int","nstyle: colors.append(st[0]) if len(st) == 1: markerstyles.append(\" \") linestyles.append(\"-\") continue if st[1] in","Make separate subplots for each time series. sharex [optional, default to True] In","[True, False]], 1], # scatter_matrix_diagonal=[str, [\"domain\", [\"kde\", \"hist\"]], 1], # bootstrap_size=[int, [\"range\", [0,","hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\"-\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\"-\", **kwds, ): r\"\"\"Plot data.\"\"\"","force_freq=force_freq, drawstyle=drawstyle, por=por, invert_xaxis=invert_xaxis, invert_yaxis=invert_yaxis, round_index=round_index, plotting_position=plotting_position, prob_plot_sort_values=prob_plot_sort_values, source_units=source_units, target_units=target_units, lag_plot_lag=lag_plot_lag, plot_styles=plot_styles, hlines_y=hlines_y,","then each over rides some or all of the characteristics of the previous.","subplots=subplots, sharex=sharex, sharey=sharey, style=None, logx=logx, logy=logy, xlim=xlim, ylim=ylim, secondary_y=secondary_y, figsize=figsize, ) for index,","1], # invert_yaxis=[bool, [\"domain\", [True, False]], 1], # plotting_position=[ # str, # [","\"xy\", \"bar\", \"bar_stacked\", \"histogram\", \"norm_xaxis\", \"lognorm_xaxis\", \"weibull_xaxis\", \"norm_yaxis\", \"lognorm_yaxis\", \"weibull_yaxis\", ]: if hlines_y","of x values where to place a vertical line. vlines_ymin: [optional, defaults to","# hlines_xmin=[float, [\"pass\", []], None], # hlines_xmax=[float, [\"pass\", []], None], # hlines_colors=[str, [\"pass\",","| . | point | +-------+----------------+ | o | circle | +-------+----------------+ |","= [] markerstyles = [] linestyles = [] for st in nstyle: colors.append(st[0])","set. You must supply a comma separated list of strings for each time-series","logy is True or norm_xaxis is True or norm_yaxis is True or lognorm_xaxis","icolors = None imarkerstyles = itertools.cycle(markerstyles) ilinestyles = itertools.cycle(linestyles) # Only for bar,","| ^ | triangle up | +-------+----------------+ | < | triangle left |","# ], # hlines_y=[float, [\"pass\", []], None], # hlines_xmin=[float, [\"pass\", []], None], #","plot a marker. If 'auto' will iterate through the available matplotlib marker types.","minimum x value for the entire plot. hlines_xmax: [optional, defaults to None] List","[True, False]], 1], # sharex=[bool, [\"domain\", [True, False]], 1], # sharey=[bool, [\"domain\", [True,","# bar_hatchstyles=[str, [\"domain\", [\"auto\", None, \"\", \" \", \" \"] + plotutils.HATCH_LIST], None],","vlines_colors=None, vlines_linestyles=\"-\", ): r\"\"\"Kernel density estimation of probability density function. \"kde\" will create","warnings.warn( \"\"\" * * The --logx, --logy, --norm_xaxis, --norm_yaxis, --lognorm_xaxis, and * --lognorm_yaxis","| black | +------+---------+ 3. Number between 0 and 1 that represents the","automatically. scatter_matrix_diagonal : str [optional, defaults to 'kde'] If plot type is 'scatter_matrix',","plotutils.MARKER_LIST: markerstyles.append(st[1]) try: linestyles.append(st[2:]) except IndexError: linestyles.append(\" \") else: markerstyles.append(\" \") linestyles.append(st[1:]) if","| triangle right | +-------+----------------+ | 1 | tri_down | +-------+----------------+ | 2","vlines_linestyles = tsutils.make_list(vlines_linestyles) nylim = ax.get_ylim() if vlines_ymin is None: vlines_ymin = nylim[0]","colors for the vertical lines. If a single color then will be used","bar_hatchstyles=[str, [\"domain\", [\"auto\", None, \"\", \" \", \" \"] + plotutils.HATCH_LIST], None], #","lag used if ``type`` \"lag_plot\" is chosen. xtitle : str [optional, default depends","defaults to None] List of maximum x values to end each horizontal line.","try: try: pltfreq = str(tsd.index.freq, \"utf-8\").lower() except TypeError: pltfreq = str(tsd.index.freq).lower() if pltfreq.split(\"",": str [optional, defaults to 'plot.png'] Output filename for the plot. Extension defines","vlines_ymax: [optional, defaults to None] List of maximum x values to end each","equivalent to 'steps-pre' and is maintained for backward-compatibility. ACCEPTS:: ['default' | 'steps' |","Separated 'colors', 'linestyles', and 'markerstyles' instead of using the 'style' keyword. +-------+----------------+ |","| x | crossed diagonal | +-----------------+-------------------+ | o | small circle |","prob_plot_sort_values : str [optional, default is 'descending'] How to sort the values for","line supply a comma separated matplotlib color codes, or within Python a list","coding: utf-8 -*- \"\"\"Collection of functions for the manipulation of time series.\"\"\" from","Blind Appropriate Styles The styles \"seaborn-colorblind\", \"tableau-colorblind10\", \"bright\", \"vibrant\", and \"muted\" are all","* \"\"\" ) if xaxis == \"log\": logx = True if yaxis ==","# \"seaborn-colorblind\", # \"seaborn-dark\", # \"seaborn-dark-palette\", # \"seaborn-darkgrid\", # \"seaborn-deep\", # \"seaborn-muted\", #","in enumerate(ax.lines): if icolors is not None: c = next(icolors) else: c =","a list of strings if using the Python API. +-----------------+-------------------+ | bar_hatchstyles |","horizontal lines. A missing value or None will end at the maximum x","will change the chart size to fit in a column of the \"IEEE\"","| triangle up | +-------+----------------+ | < | triangle left | +-------+----------------+ |","white, nd gray. Matplotlib styles: https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_reference.html SciencePlots styles: https://github.com/garrettj403/SciencePlots hlines_y: [optional, defaults to","\"retro\", # ], # ], # None, # ], # hlines_y=[float, [\"pass\", []],","[]], None], # xlim=[float, [\"pass\", []], 2], # ylim=[float, [\"pass\", []], 2], #","bootstrap_size : int [optional, defaults to 50] The size of the random subset","\"default\"] Set the style of the plot. One or more of Matplotlib styles","the diagonal. One of 'kde' for Kernel Density Estimation or 'hist' for a","RSTHelpFormatter from tstoolbox import tsutils from .. import plotutils warnings.filterwarnings(\"ignore\") @mando.command(\"kde\", formatter_class=RSTHelpFormatter, doctype=\"numpy\")","y. Set to a line style code. grid [optional, default is False] Whether","style which has {} style strings, but you have {} time-series. \"\"\".format( style,","from beginning and end. {force_freq} invert_xaxis [optional, default is False] Invert the x-axis.","will take from the color pallette in the current plot style. hlines_linestyles: [optional,","The \"grayscale\" is another style useful for photo-copyable black, white, nd gray. Matplotlib","use '--yaxis=\"log\"' instead. xlim [optional, default is based on range of x values]","False]], 1], # scatter_matrix_diagonal=[str, [\"domain\", [\"kde\", \"hist\"]], 1], # bootstrap_size=[int, [\"range\", [0, None]],","# \"seaborn-paper\", # \"seaborn-pastel\", # \"seaborn-poster\", # \"seaborn-talk\", # \"seaborn-ticks\", # \"seaborn-white\", #","list of color code strings. Can identify colors in four different ways. 1.","bootstrap_samples [optional, defaults to 500] The number of random subsets of 'bootstrap_size'. norm_xaxis","bar_hatchstyles = plotutils.HATCH_LIST else: bar_hatchstyles = tsutils.make_list(bar_hatchstyles) if markerstyles == \"auto\": markerstyles =","can then be changed or added to as needed. lag_plot_lag [optional, default to","command line supply a comma separated matplotlib color codes, or within Python a","{end_date} {clean} {skiprows} {index_type} {names} {source_units} {target_units} {round_index} plot_styles: str [optional, default is","histogram. bootstrap_size : int [optional, defaults to 50] The size of the random","hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\"-\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\"-\", ): r\"\"\"Kernel density estimation","'width,height' of plot in inches. legend [optional, defaults to True] Whether to display","[\"norm_yaxis\", \"lognorm_yaxis\", \"weibull_yaxis\"]: hlines_y = ppf(tsutils.make_list(hlines_y)) plt.hlines( hlines_y, hlines_xmin, hlines_xmax, colors=hlines_colors, linestyles=hlines_linestyles, )","option defaults with the implementation of # mando legend = bool(legend == \"\"","end each horizontal line. If a list must be same length as `hlines_y`.","vlines_x = ppf(tsutils.make_list(vlines_x)) plt.vlines( vlines_x, vlines_ymin, vlines_ymax, colors=vlines_colors, linestyles=vlines_linestyles, ) plt.xlabel(xtitle) plt.ylabel(ytitle) if","the yaxis. One of 'arithmetic', 'log'. secondary_y [optional, default is False] Whether to","# \"seaborn-dark-palette\", # \"seaborn-darkgrid\", # \"seaborn-deep\", # \"seaborn-muted\", # \"seaborn-notebook\", # \"seaborn-paper\", #","if markerstyles == \"auto\": markerstyles = plotutils.MARKER_LIST else: markerstyles = tsutils.make_list(markerstyles) if markerstyles","[]], 1], # figsize=[float, [\"range\", [0, None]], 2], # legend=[bool, [\"domain\", [True, False]],","\"SciencePlots_styles\" ) plot_styles = [ os.path.join(style_loc, i + \".mplstyle\") if os.path.exists(os.path.join(style_loc, i +","with star marker. bar_hatchstyles [optional, default to \"auto\", only used if type equal","default is False] Invert the y-axis. plotting_position : str [optional, default is 'weibull']","x value for all vertical lines. A missing value or None will end","@tsutils.validator( # ofilename=[str, [\"pass\", []], 1], # type=[str, [\"domain\", [\"kde\",],], 1,], # lag_plot_lag=[int,","rides some or all of the characteristics of the previous. Color Blind Appropriate","| m | magenta | +------+---------+ | y | yellow | +------+---------+ |","reference: http://matplotlib.org/api/artist_api.html markerstyles [optional, default to ' '] The default ' ' will","PNG file. If used within Python, and `ofilename` is None will return the","\"\"\" You have to have the same number of style strings as time-series","plt.gca().invert_xaxis() if invert_yaxis is True: plt.gca().invert_yaxis() plt.grid(grid) plt.title(title) plt.tight_layout() if ofilename is not","for the standard linestyles list. \"\"\" plt = kde( input_ts=input_ts, columns=columns, start_date=start_date, end_date=end_date,","| v | triangle down | +-------+----------------+ | ^ | triangle up |","1], # sharex=[bool, [\"domain\", [True, False]], 1], # sharey=[bool, [\"domain\", [True, False]], 1],","and `ofilename` is None will return the Matplotlib figure that can then be","in 'ColorMarkerLine' order, for example 'r*--' is a red dashed line with star","# \"vibrant\", # \"muted\", # \"retro\", # ], # ], # None, #","color code strings. Can identify colors in four different ways. 1. Use 'CN'","logy = True xlim = plotutils.know_your_limits(xlim, axis=xaxis) ylim = plotutils.know_your_limits(ylim, axis=yaxis) plot_styles =","\"\", \" \", \" \"] + plotutils.LINE_LIST], # None, # ], # )","| +-------+----------------+ | p | pentagon | +-------+----------------+ | ``*`` | star |","vlines_colors=None, vlines_linestyles=\"-\", **kwds, ): r\"\"\"Plot data.\"\"\" # Need to work around some old","str [optional, defaults to 'kde'] If plot type is 'scatter_matrix', this specifies the","the horizontal lines. If a single linestyle then will be used as the","Only for bar, barh, bar_stacked, and barh_stacked. ibar_hatchstyles = itertools.cycle(bar_hatchstyles) if ( logx","1 is black. 4. Any of the HTML color names. +------------------+ | HTML","# [\"weibull\", \"benard\", \"tukey\", \"gumbel\", \"hazen\", \"cunnane\", \"california\"], # ], # 1, #","color then will be used as the color for all vertical lines. If","warnings.filterwarnings(\"ignore\") @mando.command(\"kde\", formatter_class=RSTHelpFormatter, doctype=\"numpy\") @tsutils.doc(plotutils.ldocstrings) def kde_cli( input_ts=\"-\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None,","bar_hatchstyles == \"auto\": bar_hatchstyles = plotutils.HATCH_LIST else: bar_hatchstyles = tsutils.make_list(bar_hatchstyles) if markerstyles ==","markerstyles = \" \" if style != \"auto\": nstyle = tsutils.make_list(style) if len(nstyle)","A missing value or None will end at the maximum x value for","\")[0][1:] == \"1\": beginstr = 3 else: beginstr = 1 if pltfreq ==","= ax.get_ylim() if vlines_ymin is None: vlines_ymin = nylim[0] if vlines_ymax is None:","''] Title of chart. figsize : str [optional, defaults to '10,6.5'] The 'width,height'","): r\"\"\"Plot data.\"\"\" # Need to work around some old option defaults with","display the legend. legend_names : str [optional, defaults to None] Legend would normally","\"norm_xaxis\", \"lognorm_xaxis\", \"weibull_xaxis\", \"norm_yaxis\", \"lognorm_yaxis\", \"weibull_yaxis\", ]: if hlines_y is not None: if","[optional, default to True] In case subplots=True, share x axis. sharey [optional, default","magenta | +------+---------+ | y | yellow | +------+---------+ | k | black","'steps-pre' | 'steps-mid' | 'steps-post'] por [optional] Plot from first good value to","the y-axis. plotting_position : str [optional, default is 'weibull'] {plotting_position_table} Only used for","strings, but you have {} time-series. \"\"\".format( style, len(nstyle), len(tsd.columns) ) ) )","in [\"norm_xaxis\", \"lognorm_xaxis\", \"weibull_xaxis\"]: vlines_x = ppf(tsutils.make_list(vlines_x)) plt.vlines( vlines_x, vlines_ymin, vlines_ymax, colors=vlines_colors, linestyles=vlines_linestyles,","or \"Density\" if legend is True: plt.legend(loc=\"best\") if hlines_y is not None: hlines_y","for black, white, and gray, however the \"ieee\" also will change the chart","grid=[bool, [\"domain\", [True, False]], 1], # label_rotation=[float, [\"pass\", []], 1], # label_skip=[int, [\"range\",","Single character code from the table below. +------+---------+ | Code | Color |","subplots=False, sharex=True, sharey=False, colors=\"auto\", linestyles=\"auto\", markerstyles=\" \", bar_hatchstyles=\"auto\", style=\"auto\", logx=False, logy=False, xaxis=\"arithmetic\", yaxis=\"arithmetic\",","\"\", \" \", \" \"] + plotutils.HATCH_LIST], None], # style=[str, [\"pass\", []], None],",". | dots | +-----------------+-------------------+ | * | stars | +-----------------+-------------------+ logx DEPRECATED:","label_rotation=[float, [\"pass\", []], 1], # label_skip=[int, [\"range\", [1, None]], 1], # drawstyle=[str, [\"pass\",","colors == \"auto\": colors = None else: colors = tsutils.make_list(colors) if linestyles ==","4 | tri_right | +-------+----------------+ | 8 | octagon | +-------+----------------+ | s","[True, False]], 1], # mark_right=[bool, [\"domain\", [True, False]], 1], # scatter_matrix_diagonal=[str, [\"domain\", [\"kde\",","| +-------+----------------+ | H | hexagon2 | +-------+----------------+ | ``+`` | plus |","[optional, defaults to None] List of colors for the horizontal lines. If a","would limit the plot from 1 to 1000, where '--xlim ,1000' would base","'markerstyles' instead of using the 'style' keyword. +---------+--------------+ | Code | Lines |","# hlines_linestyles=[ # str, # [\"domain\", [\"auto\", None, \"\", \" \", \" \"]","\"benard\", \"tukey\", \"gumbel\", \"hazen\", \"cunnane\", \"california\"], # ], # 1, # ], #","the linestyle for all horizontal lines. If a list must be same length","+-------+----------------+ | '' | nothing | +-------+----------------+ Marker reference: http://matplotlib.org/api/markers_api.html style [optional, default","markerstyles=\" \", bar_hatchstyles=\"auto\", style=\"auto\", logx=False, logy=False, xaxis=\"arithmetic\", yaxis=\"arithmetic\", xlim=None, ylim=None, secondary_y=False, mark_right=True, scatter_matrix_diagonal=\"kde\",","None will take from the color pallette in the current plot style. hlines_linestyles:","lag_plot_lag=lag_plot_lag, plot_styles=plot_styles, hlines_y=hlines_y, hlines_xmin=hlines_xmin, hlines_xmax=hlines_xmax, hlines_colors=hlines_colors, hlines_linestyles=hlines_linestyles, vlines_x=vlines_x, vlines_ymin=vlines_ymin, vlines_ymax=vlines_ymax, vlines_colors=vlines_colors, vlines_linestyles=vlines_linestyles, )","setup to be able to be distinguished by someone with color blindness. Black,","value or None will end at the maximum x value for the entire","if invert_xaxis is True: plt.gca().invert_xaxis() if invert_yaxis is True: plt.gca().invert_yaxis() plt.grid(grid) plt.title(title) plt.tight_layout()","hlines_xmax=None, hlines_colors=None, hlines_linestyles=\"-\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\"-\", ): r\"\"\"Kernel density estimation of","not None: if type in [\"norm_xaxis\", \"lognorm_xaxis\", \"weibull_xaxis\"]: vlines_x = ppf(tsutils.make_list(vlines_x)) plt.vlines( vlines_x,","\"lognorm_yaxis\", \"weibull_yaxis\", ]: if hlines_y is not None: if type in [\"norm_yaxis\", \"lognorm_yaxis\",","label_rotation=None, label_skip=1, force_freq=None, drawstyle=\"default\", por=False, invert_xaxis=False, invert_yaxis=False, round_index=None, plotting_position=\"weibull\", prob_plot_sort_values=\"descending\", source_units=None, target_units=None, lag_plot_lag=1,","'colors', 'linestyles', and 'markerstyles' options. Currently the 'style' option will override the others.","# plot_styles=[ # str, # [ # \"domain\", # [ # \"classic\", #","used if ``type`` \"lag_plot\" is chosen. xtitle : str [optional, default depends on","[optional, defaults to ''] Title of chart. figsize : str [optional, defaults to","linestyles = plotutils.LINE_LIST else: linestyles = tsutils.make_list(linestyles) if bar_hatchstyles == \"auto\": bar_hatchstyles =","hlines_y=None, hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\"-\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\"-\", **kwds, ): r\"\"\"Plot","= tsd.plot.kde( legend=legend, subplots=subplots, sharex=sharex, sharey=sharey, style=None, logx=logx, logy=logy, xlim=xlim, ylim=ylim, secondary_y=secondary_y, figsize=figsize,","x values] Comma separated lower and upper limits for the x-axis of the","appropriate for black, white, and gray, however the \"ieee\" also will change the","legend == \"True\" or legend is None) type = \"kde\" import matplotlib matplotlib.use(\"Agg\")","a PNG file. If used within Python, and `ofilename` is None will return","values where to place a horizontal line. hlines_xmin: [optional, defaults to None] List","| 'steps-post'] por [optional] Plot from first good value to last good value.","= None imarkerstyles = itertools.cycle(markerstyles) ilinestyles = itertools.cycle(linestyles) # Only for bar, barh,","\"hazen\", \"cunnane\", \"california\"], # ], # 1, # ], # prob_plot_sort_values=[str, [\"domain\", [\"ascending\",","maximum x value for all horizontal lines. A missing value or None will","None] List of colors for the horizontal lines. If a single color then","number will be the maximum x value for all horizontal lines. A missing","http://matplotlib.org/api/artist_api.html markerstyles [optional, default to ' '] The default ' ' will not","xaxis=xaxis, yaxis=yaxis, xlim=xlim, ylim=ylim, secondary_y=secondary_y, mark_right=mark_right, scatter_matrix_diagonal=scatter_matrix_diagonal, bootstrap_size=bootstrap_size, bootstrap_samples=bootstrap_samples, norm_xaxis=norm_xaxis, norm_yaxis=norm_yaxis, lognorm_xaxis=lognorm_xaxis, lognorm_yaxis=lognorm_yaxis,","is not None: c = next(icolors) else: c = None if imarkerstyles is","the maximum x value for the entire plot. vlines_colors: [optional, defaults to None]","If plot type is 'scatter_matrix', this specifies the plot along the diagonal. One","line a comma separated list, or a list of strings if using the","# prob_plot_sort_values=[str, [\"domain\", [\"ascending\", \"descending\"]], 1], # plot_styles=[ # str, # [ #","supply a comma separated list of strings for each time-series in the data","large circle | +-----------------+-------------------+ | . | dots | +-----------------+-------------------+ | * |","or within Python a list of color code strings. Can identify colors in","| dots | +-----------------+-------------------+ | * | stars | +-----------------+-------------------+ logx DEPRECATED: use","default is None] Still available, but if None is replaced by 'colors', 'linestyles',","x axis. sharey [optional, default to False] In case subplots=True, share y axis.","ilinestyles is not None: l = next(ilinestyles) else: l = None if c","\"fivethirtyeight\", \"ggplot\", \"grayscale\", \"seaborn\", \"seaborn-bright\", \"seaborn-colorblind\", \"seaborn-dark\", \"seaborn-dark-palette\", \"seaborn-darkgrid\", \"seaborn-deep\", \"seaborn-muted\", \"seaborn-notebook\", \"seaborn-paper\",","diagonal hatching | +-----------------+-------------------+ | ``\\`` | back diagonal | +-----------------+-------------------+ | ``|``","end_date=end_date, clean=clean, skiprows=skiprows, index_type=index_type, names=names, ofilename=ofilename, xtitle=xtitle, ytitle=ytitle, title=title, figsize=figsize, legend=legend, legend_names=legend_names, subplots=subplots,","| octagon | +-------+----------------+ | s | square | +-------+----------------+ | p |","styles then each over rides some or all of the characteristics of the","None] Still available, but if None is replaced by 'colors', 'linestyles', and 'markerstyles'","legend. legend_names : str [optional, defaults to None] Legend would normally use the","str, # [\"domain\", [\"auto\", None, \"\", \" \", \" \"] + plotutils.LINE_LIST], #","Comma separated matplotlib style strings per time-series. Just combine codes in 'ColorMarkerLine' order,","| nothing | +-------+----------------+ | ' ' | nothing | +-------+----------------+ | ''","if None is replaced by 'colors', 'linestyles', and 'markerstyles' options. Currently the 'style'","range of x values] Comma separated lower and upper limits for the x-axis","below. +------+---------+ | Code | Color | +======+=========+ | b | blue |","\"seaborn-talk\", \"seaborn-ticks\", \"seaborn-white\", \"seaborn-whitegrid\", \"tableau-colorblind10\", and SciencePlots styles \"science\", \"grid\", \"ieee\", \"scatter\", \"notebook\",","str [optional, default depends on ``type``] Title of x-axis. ytitle : str [optional,","vlines_x: [optional, defaults to None] List of x values where to place a","plot. For example, '--xlim 1,1000' would limit the plot from 1 to 1000,","# ], # ], # None, # ], # hlines_y=[float, [\"pass\", []], None],","standard linestyles list. vlines_x: [optional, defaults to None] List of x values where","vlines_colors: [optional, defaults to None] List of colors for the vertical lines. If","| solid | +---------+--------------+ | -- | dashed | +---------+--------------+ | -. |","of minimum y values to start the vertical line. If a list must","lines. If a single color then will be used as the color for","= ppf(tsutils.make_list(hlines_y)) plt.hlines( hlines_y, hlines_xmin, hlines_xmax, colors=hlines_colors, linestyles=hlines_linestyles, ) if vlines_x is not","a single color then will be used as the color for all horizontal","axis. colors [optional, default is 'auto'] The default 'auto' will cycle through matplotlib",": str [optional, default depends on ``type``] Title of x-axis. ytitle : str","is not None: if type in [\"norm_yaxis\", \"lognorm_yaxis\", \"weibull_yaxis\"]: hlines_y = ppf(tsutils.make_list(hlines_y)) plt.hlines(","from matplotlib.ticker import FixedLocator tsd = tsutils.common_kwds( input_ts, skiprows=skiprows, names=names, index_type=index_type, start_date=start_date, end_date=end_date,","[\"domain\", [\"kde\",],], 1,], # lag_plot_lag=[int, [\"range\", [1, None]], 1], # xtitle=[str, [\"pass\", []],","logx = True if yaxis == \"log\": logy = True xlim = plotutils.know_your_limits(xlim,","False] In case subplots=True, share y axis. colors [optional, default is 'auto'] The","list/tuple, which time-series to plot on secondary y-axis. mark_right [optional, default is True]","of y values] Comma separated lower and upper limits for the y-axis of","horizontal lines. If a list must be same length as `hlines_y`. If None","See `xlim` for examples. xaxis : str [optional, default is 'arithmetic'] Defines the","hatch types. Otherwise on the command line a comma separated list, or a","The steps variants produce step-plots. 'steps' is equivalent to 'steps-pre' and is maintained","Whether to plot grid lines on the major ticks. label_rotation : int [optional]","| +---------+--------------+ | ' ' | draw nothing | +---------+--------------+ | '' |","* For --norm_yaxis use --type=\"norm_yaxis\" * For --lognorm_xaxis use --type=\"lognorm_xaxis\" * For --lognorm_yaxis","-*- \"\"\"Collection of functions for the manipulation of time series.\"\"\" from __future__ import","names=None, ofilename=\"plot.png\", xtitle=\"\", ytitle=\"\", title=\"\", figsize=\"10,6.0\", legend=None, legend_names=None, subplots=False, sharex=True, sharey=False, colors=\"auto\", linestyles=\"auto\",","ylim [optional, default is based on range of y values] Comma separated lower","with lines. The steps variants produce step-plots. 'steps' is equivalent to 'steps-pre' and","the previous. Color Blind Appropriate Styles The styles \"seaborn-colorblind\", \"tableau-colorblind10\", \"bright\", \"vibrant\", and","# Need to work around some old option defaults with the implementation of","= None if c is not None: plt.setp(line, color=c) plt.setp(line, marker=m) plt.setp(line, linestyle=l)","time series.\"\"\" from __future__ import absolute_import, division, print_function import itertools import os import","[]], 1], # ytitle=[str, [\"pass\", []], 1], # title=[str, [\"pass\", []], 1], #","| +-------+----------------+ | 2 | tri_up | +-------+----------------+ | 3 | tri_left |","+-----------------+-------------------+ | bar_hatchstyles | Description | +=================+===================+ | / | diagonal hatching |","| chartreuse | +------------------+ | ...etc. | +------------------+ Color reference: http://matplotlib.org/api/colors_api.html linestyles [optional,","right | +-------+----------------+ | 1 | tri_down | +-------+----------------+ | 2 | tri_up","| Code | Markers | +=======+================+ | . | point | +-------+----------------+ |","None, # ], # ) def kde( input_ts=\"-\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None,","styles \"science\", \"grid\", \"ieee\", \"scatter\", \"notebook\", \"high-vis\", \"bright\", \"vibrant\", \"muted\", and \"retro\". If","are deprecated. * * For --logx use --xaxis=\"log\" * For --logy use --yaxis=\"log\"","lower and upper limits for the y-axis of the plot. See `xlim` for","| 'steps-pre' | 'steps-mid' | 'steps-post'] por [optional] Plot from first good value","The default 'auto' will cycle through matplotlib colors in the chosen style. At","figsize=figsize, legend=legend, legend_names=legend_names, subplots=subplots, sharex=sharex, sharey=sharey, colors=colors, linestyles=linestyles, markerstyles=markerstyles, bar_hatchstyles=bar_hatchstyles, style=style, logx=logx, logy=logy,","values to start the horizontal line. If a list must be same length","sharey=sharey, style=None, logx=logx, logy=logy, xlim=xlim, ylim=ylim, secondary_y=secondary_y, figsize=figsize, ) for index, line in","next(ilinestyles) else: l = None if c is not None: plt.setp(line, color=c) plt.setp(line,","| draw nothing | +---------+--------------+ | '' | draw nothing | +---------+--------------+ Line","style of the plot. One or more of Matplotlib styles \"classic\", \"Solarize_Light2\", \"bmh\",","sharex=sharex, sharey=sharey, style=None, logx=logx, logy=logy, xlim=xlim, ylim=ylim, secondary_y=secondary_y, figsize=figsize, ) for index, line","| '' | nothing | +-------+----------------+ Marker reference: http://matplotlib.org/api/markers_api.html style [optional, default is","pick=columns, round_index=round_index, dropna=\"all\", source_units=source_units, target_units=target_units, clean=clean, por=por, ) tsd, lnames = plotutils.check(type, tsd,","if vlines_ymin is None: vlines_ymin = nylim[0] if vlines_ymax is None: vlines_ymax =","[]], 2], # ylim=[float, [\"pass\", []], 2], # xaxis=[str, [\"domain\", [\"arithmetic\", \"log\"]], 1],","1], # drawstyle=[str, [\"pass\", []], 1], # por=[bool, [\"domain\", [True, False]], 1], #","This is to help pretty print the frequency try: try: pltfreq = str(tsd.index.freq,","instead. xy_match_line : str [optional, defaults is ''] Will add a match line","| Markers | +=======+================+ | . | point | +-------+----------------+ | o |","ytitle=\"\", title=\"\", figsize=\"10,6.0\", legend=None, legend_names=None, subplots=False, sharex=True, sharey=False, colors=\"auto\", linestyles=\"auto\", markerstyles=\" \", bar_hatchstyles=\"auto\",","of strings if using the Python API. To not display lines use a","Set to a line style code. grid [optional, default is False] Whether to","' | draw nothing | +---------+--------------+ | '' | draw nothing | +---------+--------------+","list. vlines_x: [optional, defaults to None] List of x values where to place","\"high-vis\", \"bright\", \"vibrant\", \"muted\", and \"retro\". If multiple styles then each over rides","use '--xaxis=\"log\"' instead. logy DEPRECATED: use '--yaxis=\"log\"' instead. xlim [optional, default is based","variants produce step-plots. 'steps' is equivalent to 'steps-pre' and is maintained for backward-compatibility.","# label_skip=[int, [\"range\", [1, None]], 1], # drawstyle=[str, [\"pass\", []], 1], # por=[bool,","], # None, # ], # hlines_y=[float, [\"pass\", []], None], # hlines_xmin=[float, [\"pass\",","# linestyles=[str, [\"domain\", [\"auto\", None, \"\", \" \", \" \"] + plotutils.LINE_LIST], None],","# \"seaborn-dark\", # \"seaborn-dark-palette\", # \"seaborn-darkgrid\", # \"seaborn-deep\", # \"seaborn-muted\", # \"seaborn-notebook\", #","or lognorm_yaxis is True ): warnings.warn( \"\"\" * * The --logx, --logy, --norm_xaxis,","None: vlines_ymax = nylim[1] if type in [ \"time\", \"xy\", \"bar\", \"bar_stacked\", \"histogram\",","list, or a list of strings if using the Python API. To not","of the plot. See `xlim` for examples. xaxis : str [optional, default is","| +-------+----------------+ | o | circle | +-------+----------------+ | v | triangle down","bar_stacked, and barh_stacked. ibar_hatchstyles = itertools.cycle(bar_hatchstyles) if ( logx is True or logy","same length as `hlines_y`. If a single number will be used as the","'{}' for style which has {} style strings, but you have {} time-series.","], # prob_plot_sort_values=[str, [\"domain\", [\"ascending\", \"descending\"]], 1], # plot_styles=[ # str, # [","sharey [optional, default to False] In case subplots=True, share y axis. colors [optional,","por=False, invert_xaxis=False, invert_yaxis=False, round_index=None, plotting_position=\"weibull\", prob_plot_sort_values=\"descending\", source_units=None, target_units=None, lag_plot_lag=1, plot_styles=\"bright\", hlines_y=None, hlines_xmin=None, hlines_xmax=None,","= tsutils.make_list(figsize, n=2) _, ax = plt.subplots(figsize=figsize) if type in [\"kde\", \"probability_density\"]: ax","tsutils from .. import plotutils warnings.filterwarnings(\"ignore\") @mando.command(\"kde\", formatter_class=RSTHelpFormatter, doctype=\"numpy\") @tsutils.doc(plotutils.ldocstrings) def kde_cli( input_ts=\"-\",","is False] Invert the y-axis. plotting_position : str [optional, default is 'weibull'] {plotting_position_table}","vlines_ymax=vlines_ymax, vlines_colors=vlines_colors, vlines_linestyles=vlines_linestyles, ) # @tsutils.validator( # ofilename=[str, [\"pass\", []], 1], # type=[str,","The size of the random subset for 'bootstrap' plot. bootstrap_samples [optional, defaults to","is False] Invert the x-axis. invert_yaxis [optional, default is False] Invert the y-axis.","\"seaborn-talk\", # \"seaborn-ticks\", # \"seaborn-white\", # \"seaborn-whitegrid\", # \"tableau-colorblind10\", # \"science\", # \"grid\",","you have {} time-series. \"\"\".format( style, len(nstyle), len(tsd.columns) ) ) ) colors =","series. sharex [optional, default to True] In case subplots=True, share x axis. sharey","override the names in the data set. You must supply a comma separated","from the current style. 2. Single character code from the table below. +------+---------+","y-axis. mark_right [optional, default is True] When using a secondary_y axis, should the","only used if type equal to \"bar\", \"barh\", \"bar_stacked\", and \"barh_stacked\"] If 'auto'","* For --lognorm_yaxis use --type=\"lognorm_yaxis\" * \"\"\" ) if xaxis == \"log\": logx","[\"domain\", [True, False]], 1], # sharex=[bool, [\"domain\", [True, False]], 1], # sharey=[bool, [\"domain\",","is not None: vlines_x = tsutils.make_list(vlines_x) vlines_ymin = tsutils.make_list(vlines_ymin) vlines_ymax = tsutils.make_list(vlines_ymax) vlines_colors","will be used as the color for all vertical lines. If a list","list of strings if using the Python API. +-----------------+-------------------+ | bar_hatchstyles | Description","function based on the data called kernel density estimation (KDE). {ydata} Parameters ----------","this specifies the plot along the diagonal. One of 'kde' for Kernel Density","as the minimum x values for all horizontal lines. A missing value or","or None will start at the minimum x value for the entire plot.","If a list must be same length as `vlines_x`. If a single number","st[1] in plotutils.MARKER_LIST: markerstyles.append(st[1]) try: linestyles.append(st[2:]) except IndexError: linestyles.append(\" \") else: markerstyles.append(\" \")","| nothing | +-------+----------------+ Marker reference: http://matplotlib.org/api/markers_api.html style [optional, default is None] Still","invert_yaxis=False, round_index=None, plotting_position=\"weibull\", prob_plot_sort_values=\"descending\", source_units=None, target_units=None, lag_plot_lag=1, plot_styles=\"bright\", hlines_y=None, hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\"-\",","linestyles.append(\"-\") continue if st[1] in plotutils.MARKER_LIST: markerstyles.append(st[1]) try: linestyles.append(st[2:]) except IndexError: linestyles.append(\" \")","None, \"\", \" \", \" \"] + plotutils.MARKER_LIST], None], # bar_hatchstyles=[str, [\"domain\", [\"auto\",","the HTML color names. +------------------+ | HTML Color Names | +==================+ | red","1], # mark_right=[bool, [\"domain\", [True, False]], 1], # scatter_matrix_diagonal=[str, [\"domain\", [\"kde\", \"hist\"]], 1],","color names. +------------------+ | HTML Color Names | +==================+ | red | +------------------+","= [\" \"] else: linestyles = [\" \" if i in [\" \",","xlim = plotutils.know_your_limits(xlim, axis=xaxis) ylim = plotutils.know_your_limits(ylim, axis=yaxis) plot_styles = tsutils.make_list(plot_styles) + [\"no-latex\"]","is ''] Will add a match line where x == y. Set to","True ): warnings.warn( \"\"\" * * The --logx, --logy, --norm_xaxis, --norm_yaxis, --lognorm_xaxis, and","[optional, default is based on range of x values] Comma separated lower and","plots. drawstyle : str [optional, default is 'default'] 'default' connects the points with","black, white, nd gray. Matplotlib styles: https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_reference.html SciencePlots styles: https://github.com/garrettj403/SciencePlots hlines_y: [optional, defaults","norm_xaxis=norm_xaxis, norm_yaxis=norm_yaxis, lognorm_xaxis=lognorm_xaxis, lognorm_yaxis=lognorm_yaxis, xy_match_line=xy_match_line, grid=grid, label_rotation=label_rotation, label_skip=label_skip, force_freq=force_freq, drawstyle=drawstyle, por=por, invert_xaxis=invert_xaxis, invert_yaxis=invert_yaxis,","# figsize=[float, [\"range\", [0, None]], 2], # legend=[bool, [\"domain\", [True, False]], 1], #","False]], 1], # label_rotation=[float, [\"pass\", []], 1], # label_skip=[int, [\"range\", [1, None]], 1],","plotting_position=\"weibull\", prob_plot_sort_values=\"descending\", source_units=None, target_units=None, lag_plot_lag=1, plot_styles=\"bright\", hlines_y=None, hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\"-\", vlines_x=None, vlines_ymin=None,","str [optional, default depends on ``type``] Title of y-axis. title : str [optional,","line where x == y. Set to a line style code. grid [optional,","must be same length as `hlines_y`. If a single number will be used","[]], None], # linestyles=[str, [\"domain\", [\"auto\", None, \"\", \" \", \" \"] +","\"auto\": nstyle = tsutils.make_list(style) if len(nstyle) != len(tsd.columns): raise ValueError( tsutils.error_wrapper( \"\"\" You","type in [\"norm_yaxis\", \"lognorm_yaxis\", \"weibull_yaxis\"]: hlines_y = ppf(tsutils.make_list(hlines_y)) plt.hlines( hlines_y, hlines_xmin, hlines_xmax, colors=hlines_colors,","type equal to \"bar\", \"barh\", \"bar_stacked\", and \"barh_stacked\"] If 'auto' will iterate through","{start_date} {end_date} {clean} {skiprows} {index_type} {names} {source_units} {target_units} {round_index} plot_styles: str [optional, default","[\"domain\", [\"auto\", None, \"\", \" \", \" \"] + plotutils.LINE_LIST], None], # markerstyles=[str,","the frequency try: try: pltfreq = str(tsd.index.freq, \"utf-8\").lower() except TypeError: pltfreq = str(tsd.index.freq).lower()","the major ticks. label_rotation : int [optional] Rotation for major labels for bar","* | stars | +-----------------+-------------------+ logx DEPRECATED: use '--xaxis=\"log\"' instead. logy DEPRECATED: use","the data set. subplots [optional, defaults to False] Make separate subplots for each","[optional, default is None] Still available, but if None is replaced by 'colors',","hexagon1 | +-------+----------------+ | H | hexagon2 | +-------+----------------+ | ``+`` | plus","for examples. xaxis : str [optional, default is 'arithmetic'] Defines the type of","vertical lines. A missing value or None will end at the maximum x","| point | +-------+----------------+ | o | circle | +-------+----------------+ | v |","= \"\" else: # short freq string (day) OR (2 day) short_freq =","else: bar_hatchstyles = tsutils.make_list(bar_hatchstyles) if markerstyles == \"auto\": markerstyles = plotutils.MARKER_LIST else: markerstyles","'legend_names' option allows you to override the names in the data set. You","legend = bool(legend == \"\" or legend == \"True\" or legend is None)","If None will take from the color pallette in the current plot style.","force_freq=None, drawstyle=\"default\", por=False, invert_xaxis=False, invert_yaxis=False, round_index=None, plotting_position=\"weibull\", prob_plot_sort_values=\"descending\", source_units=None, target_units=None, lag_plot_lag=1, plot_styles=\"bright\", hlines_y=None,","colors = None else: colors = tsutils.make_list(colors) if linestyles == \"auto\": linestyles =","None: hlines_xmax = nxlim[1] if vlines_x is not None: vlines_x = tsutils.make_list(vlines_x) vlines_ymin","or None will end at the maximum x value for the entire plot.","+------+---------+ | g | green | +------+---------+ | r | red | +------+---------+","| tri_up | +-------+----------------+ | 3 | tri_left | +-------+----------------+ | 4 |","\"seaborn-whitegrid\", \"tableau-colorblind10\", and SciencePlots styles \"science\", \"grid\", \"ieee\", \"scatter\", \"notebook\", \"high-vis\", \"bright\", \"vibrant\",","!= len(tsd.columns): raise ValueError( tsutils.error_wrapper( \"\"\" You have to have the same number","\"] + plotutils.MARKER_LIST], None], # bar_hatchstyles=[str, [\"domain\", [\"auto\", None, \"\", \" \", \"","if hlines_xmax is None: hlines_xmax = nxlim[1] if vlines_x is not None: vlines_x","a single number will be the maximum x value for all vertical lines.","strings. Can identify colors in four different ways. 1. Use 'CN' where N","ticks. label_rotation : int [optional] Rotation for major labels for bar plots. label_skip","None will start at the minimum x value for the entire plot. vlines_ymax:","# \"domain\", # [ # \"classic\", # \"Solarize_Light2\", # \"bmh\", # \"dark_background\", #","also will change the chart size to fit in a column of the","defaults to '10,6.5'] The 'width,height' of plot in inches. legend [optional, defaults to","others. Comma separated matplotlib style strings per time-series. Just combine codes in 'ColorMarkerLine'","DEPRECATED: use '--type=\"lognorm_yaxis\"' instead. xy_match_line : str [optional, defaults is ''] Will add","number of style strings as time-series to plot. You supplied '{}' for style","of colors for the vertical lines. If a single color then will be","to True] Whether to display the legend. legend_names : str [optional, defaults to","List of linestyles for the horizontal lines. If a single linestyle then will","Strips NANs from beginning and end. {force_freq} invert_xaxis [optional, default is False] Invert","= [\" \" if i is None else i for i in markerstyles]","use '--type=\"norm_xaxis\"' instead. norm_yaxis DEPRECATED: use '--type=\"norm_yaxis\"' instead. lognorm_xaxis DEPRECATED: use '--type=\"lognorm_xaxis\"' instead.","tsutils.make_list(hlines_linestyles) nxlim = ax.get_xlim() if hlines_xmin is None: hlines_xmin = nxlim[0] if hlines_xmax","' '] The default ' ' will not plot a marker. If 'auto'","label_skip : int [optional] Skip for major labels for bar plots. drawstyle :","start the horizontal line. If a list must be same length as `hlines_y`.","[\"range\", [1, None]], 1], # drawstyle=[str, [\"pass\", []], 1], # por=[bool, [\"domain\", [True,","vlines_colors=vlines_colors, vlines_linestyles=vlines_linestyles, ) # @tsutils.validator( # ofilename=[str, [\"pass\", []], 1], # type=[str, [\"domain\",","hlines_xmax=None, hlines_colors=None, hlines_linestyles=\"-\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\"-\", **kwds, ): r\"\"\"Plot data.\"\"\" #","'--xlim 1,1000' would limit the plot from 1 to 1000, where '--xlim ,1000'","for st in nstyle: colors.append(st[0]) if len(st) == 1: markerstyles.append(\" \") linestyles.append(\"-\") continue","strings for each time-series in the data set. subplots [optional, defaults to False]","target_units=target_units, lag_plot_lag=lag_plot_lag, plot_styles=plot_styles, hlines_y=hlines_y, hlines_xmin=hlines_xmin, hlines_xmax=hlines_xmax, hlines_colors=hlines_colors, hlines_linestyles=hlines_linestyles, vlines_x=vlines_x, vlines_ymin=vlines_ymin, vlines_ymax=vlines_ymax, vlines_colors=vlines_colors, vlines_linestyles=vlines_linestyles,","\"grid\", \"ieee\", \"scatter\", \"notebook\", \"high-vis\", \"bright\", \"vibrant\", \"muted\", and \"retro\". If multiple styles","mando import numpy as np import pandas as pd from mando.rst_text_formatter import RSTHelpFormatter","source_units=source_units, target_units=target_units, clean=clean, por=por, ) tsd, lnames = plotutils.check(type, tsd, legend_names) # This","prob_plot_sort_values=[str, [\"domain\", [\"ascending\", \"descending\"]], 1], # plot_styles=[ # str, # [ # \"domain\",","If a single linestyle then will be used as the linestyle for all","IndexError: linestyles.append(\" \") else: markerstyles.append(\" \") linestyles.append(st[1:]) if linestyles is None: linestyles =","_ | hlines_y | +-------+----------------+ | None | nothing | +-------+----------------+ | '","Color | +======+=========+ | b | blue | +------+---------+ | g | green","| +-------+----------------+ | None | nothing | +-------+----------------+ | ' ' | nothing","be same length as `vlines_x`. If None will take from the color pallette","[\"pass\", []], None], # hlines_linestyles=[ # str, # [\"domain\", [\"auto\", None, \"\", \"","and SciencePlots styles \"science\", \"grid\", \"ieee\", \"scatter\", \"notebook\", \"high-vis\", \"bright\", \"vibrant\", \"muted\", and","| +------+---------+ | r | red | +------+---------+ | c | cyan |","hlines_y = ppf(tsutils.make_list(hlines_y)) plt.hlines( hlines_y, hlines_xmin, hlines_xmax, colors=hlines_colors, linestyles=hlines_linestyles, ) if vlines_x is","+------------------+ | burlywood | +------------------+ | chartreuse | +------------------+ | ...etc. | +------------------+","to start the horizontal line. If a list must be same length as","\") linestyles.append(\"-\") continue if st[1] in plotutils.MARKER_LIST: markerstyles.append(st[1]) try: linestyles.append(st[2:]) except IndexError: linestyles.append(\"","| +=========+==============+ | ``-`` | solid | +---------+--------------+ | -- | dashed |","| triangle left | +-------+----------------+ | > | triangle right | +-------+----------------+ |","black, white, and gray, however the \"ieee\" also will change the chart size","is 'descending'] How to sort the values for the probability plots. Only used",") def kde( input_ts=\"-\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\"datetime\", names=None, ofilename=\"plot.png\", xtitle=\"\",","= plotutils.HATCH_LIST else: bar_hatchstyles = tsutils.make_list(bar_hatchstyles) if markerstyles == \"auto\": markerstyles = plotutils.MARKER_LIST","\"lognorm_xaxis\", \"weibull_xaxis\"]: vlines_x = ppf(tsutils.make_list(vlines_x)) plt.vlines( vlines_x, vlines_ymin, vlines_ymax, colors=vlines_colors, linestyles=vlines_linestyles, ) plt.xlabel(xtitle)","missing value or None will start at the minimum x value for the","grid lines on the major ticks. label_rotation : int [optional] Rotation for major","^ | triangle up | +-------+----------------+ | < | triangle left | +-------+----------------+","short_freq = \"\" if colors == \"auto\": colors = None else: colors =","vlines_colors=[str, [\"pass\", []], None], # vlines_linestyles=[ # str, # [\"domain\", [\"auto\", None, \"\",","will iterate through the available matplotlib marker types. Otherwise on the command line","1], # sharey=[bool, [\"domain\", [True, False]], 1], # colors=[str, [\"pass\", []], None], #","[]], 1], # type=[str, [\"domain\", [\"kde\",],], 1,], # lag_plot_lag=[int, [\"range\", [1, None]], 1],","used as the color for all vertical lines. If a list must be","hlines_xmin, hlines_xmax, colors=hlines_colors, linestyles=hlines_linestyles, ) if vlines_x is not None: if type in","skiprows=skiprows, index_type=index_type, names=names, ofilename=ofilename, xtitle=xtitle, ytitle=ytitle, title=title, figsize=figsize, legend=legend, legend_names=legend_names, subplots=subplots, sharex=sharex, sharey=sharey,","mark_right=[bool, [\"domain\", [True, False]], 1], # scatter_matrix_diagonal=[str, [\"domain\", [\"kde\", \"hist\"]], 1], # bootstrap_size=[int,","available matplotlib hatch types. Otherwise on the command line a comma separated list,","x value for the entire plot. hlines_colors: [optional, defaults to None] List of","by 'colors', 'linestyles', and 'markerstyles' options. Currently the 'style' option will override the","\"tableau-colorblind10\", # \"science\", # \"grid\", # \"ieee\", # \"scatter\", # \"notebook\", # \"high-vis\",","logy=False, xaxis=\"arithmetic\", yaxis=\"arithmetic\", xlim=None, ylim=None, secondary_y=False, mark_right=True, scatter_matrix_diagonal=\"kde\", bootstrap_size=50, bootstrap_samples=500, norm_xaxis=False, norm_yaxis=False, lognorm_xaxis=False,","Defines the type of the yaxis. One of 'arithmetic', 'log'. secondary_y [optional, default","codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed line with","be same length as `hlines_y`. If None will take from the color pallette","1], # yaxis=[str, [\"domain\", [\"arithmetic\", \"log\"]], 1], # secondary_y=[bool, [\"domain\", [True, False]], 1],","is not None: plt.setp(line, color=c) plt.setp(line, marker=m) plt.setp(line, linestyle=l) ytitle = ytitle or","secondary y-axis. mark_right [optional, default is True] When using a secondary_y axis, should","--xaxis=\"log\" * For --logy use --yaxis=\"log\" * For --norm_xaxis use --type=\"norm_xaxis\" * For","code from the table below. +------+---------+ | Code | Color | +======+=========+ |","| +-------+----------------+ | _ | hlines_y | +-------+----------------+ | None | nothing |","In case subplots=True, share x axis. sharey [optional, default to False] In case","lognorm_yaxis=False, xy_match_line=\"\", grid=False, label_rotation=None, label_skip=1, force_freq=None, drawstyle=\"default\", por=False, invert_xaxis=False, invert_yaxis=False, round_index=None, plotting_position=\"weibull\", prob_plot_sort_values=\"descending\",","for all vertical lines. If a list must be same length as `vlines_x`.","3. Number between 0 and 1 that represents the level of gray, where","bar_hatchstyles [optional, default to \"auto\", only used if type equal to \"bar\", \"barh\",","\"seaborn-dark-palette\", \"seaborn-darkgrid\", \"seaborn-deep\", \"seaborn-muted\", \"seaborn-notebook\", \"seaborn-paper\", \"seaborn-pastel\", \"seaborn-poster\", \"seaborn-talk\", \"seaborn-ticks\", \"seaborn-white\", \"seaborn-whitegrid\", \"tableau-colorblind10\",","the maximum x value for all horizontal lines. A missing value or None","linestyle then will be used as the linestyle for all vertical lines. If","'auto'] If 'auto' will iterate through the available matplotlib line types. Otherwise on","-- | dashed | +---------+--------------+ | -. | dash_dot | +---------+--------------+ | :","if using the Python API. +-----------------+-------------------+ | bar_hatchstyles | Description | +=================+===================+ |","marker. bar_hatchstyles [optional, default to \"auto\", only used if type equal to \"bar\",","``type``] Title of x-axis. ytitle : str [optional, default depends on ``type``] Title","continue if st[1] in plotutils.MARKER_LIST: markerstyles.append(st[1]) try: linestyles.append(st[2:]) except IndexError: linestyles.append(\" \") else:","norm_xaxis DEPRECATED: use '--type=\"norm_xaxis\"' instead. norm_yaxis DEPRECATED: use '--type=\"norm_yaxis\"' instead. lognorm_xaxis DEPRECATED: use","1. Use 'CN' where N is a number from 0 to 9 that",". | point | +-------+----------------+ | o | circle | +-------+----------------+ | v","lognorm_xaxis=False, lognorm_yaxis=False, xy_match_line=\"\", grid=False, label_rotation=None, label_skip=1, force_freq=None, drawstyle=\"default\", por=False, invert_xaxis=False, invert_yaxis=False, round_index=None, plotting_position=\"weibull\",","| +-------+----------------+ | 8 | octagon | +-------+----------------+ | s | square |","| red | +------------------+ | burlywood | +------------------+ | chartreuse | +------------------+ |","from the color pallette in the current plot style. vlines_linestyles: [optional, defaults to","False]], 1], # colors=[str, [\"pass\", []], None], # linestyles=[str, [\"domain\", [\"auto\", None, \"\",","len(tsd.columns): raise ValueError( tsutils.error_wrapper( \"\"\" You have to have the same number of","[\"pass\", []], 1], # ytitle=[str, [\"pass\", []], 1], # title=[str, [\"pass\", []], 1],","columns=columns, start_date=start_date, end_date=end_date, clean=clean, skiprows=skiprows, index_type=index_type, names=names, ofilename=ofilename, xtitle=xtitle, ytitle=ytitle, title=title, figsize=figsize, legend=legend,","hlines_linestyles=\"-\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\"-\", ): r\"\"\"Kernel density estimation of probability density","+-------+----------------+ | 2 | tri_up | +-------+----------------+ | 3 | tri_left | +-------+----------------+","default is True] When using a secondary_y axis, should the legend label the","styles \"classic\", \"Solarize_Light2\", \"bmh\", \"dark_background\", \"fast\", \"fivethirtyeight\", \"ggplot\", \"grayscale\", \"seaborn\", \"seaborn-bright\", \"seaborn-colorblind\", \"seaborn-dark\",","vertical lines. If a single linestyle then will be used as the linestyle","is None) type = \"kde\" import matplotlib matplotlib.use(\"Agg\") import matplotlib.pyplot as plt from","| +=================+===================+ | / | diagonal hatching | +-----------------+-------------------+ | ``\\`` | back","subplots=subplots, sharex=sharex, sharey=sharey, colors=colors, linestyles=linestyles, markerstyles=markerstyles, bar_hatchstyles=bar_hatchstyles, style=style, logx=logx, logy=logy, xaxis=xaxis, yaxis=yaxis, xlim=xlim,","'' | nothing | +-------+----------------+ Marker reference: http://matplotlib.org/api/markers_api.html style [optional, default is None]","Black, White, and Gray Styles The \"ieee\" style is appropriate for black, white,","for Kernel Density Estimation or 'hist' for a histogram. bootstrap_size : int [optional,","as the linestyle for all vertical lines. If a list must be same","horizontal lines. If a single color then will be used as the color","[\"arithmetic\", \"log\"]], 1], # secondary_y=[bool, [\"domain\", [True, False]], 1], # mark_right=[bool, [\"domain\", [True,","matplotlib hatch types. Otherwise on the command line a comma separated list, or","matplotlib.ticker import FixedLocator tsd = tsutils.common_kwds( input_ts, skiprows=skiprows, names=names, index_type=index_type, start_date=start_date, end_date=end_date, pick=columns,","the vertical lines. If a single linestyle then will be used as the","labels for bar plots. label_skip : int [optional] Skip for major labels for","= ax.get_xlim() if hlines_xmin is None: hlines_xmin = nxlim[0] if hlines_xmax is None:","1], # subplots=[bool, [\"domain\", [True, False]], 1], # sharex=[bool, [\"domain\", [True, False]], 1],","[\"domain\", [True, False]], 1], # invert_xaxis=[bool, [\"domain\", [True, False]], 1], # invert_yaxis=[bool, [\"domain\",","None], # hlines_colors=[str, [\"pass\", []], None], # hlines_linestyles=[ # str, # [\"domain\", [\"auto\",","for backward-compatibility. ACCEPTS:: ['default' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post'] por","will be used as the minimum x values for all vertical lines. A","limit the plot from 1 to 1000, where '--xlim ,1000' would base the","1000, where '--xlim ,1000' would base the lower limit on the data and","1], # figsize=[float, [\"range\", [0, None]], 2], # legend=[bool, [\"domain\", [True, False]], 1],","upper limits for the x-axis of the plot. For example, '--xlim 1,1000' would","start the vertical line. If a list must be same length as `vlines_x`.","i for i in linestyles] markerstyles = [\" \" if i is None","TypeError: pltfreq = str(tsd.index.freq).lower() if pltfreq.split(\" \")[0][1:] == \"1\": beginstr = 3 else:","| ``*`` | star | +-------+----------------+ | h | hexagon1 | +-------+----------------+ |","OR (2 day) short_freq = \"({})\".format(pltfreq[beginstr:-1]) except AttributeError: short_freq = \"\" if colors","str [optional, default is \"default\"] Set the style of the plot. One or","separated lower and upper limits for the x-axis of the plot. For example,","same length as `vlines_x`. If a single number will be used as the","back diagonal | +-----------------+-------------------+ | ``|`` | vertical | +-----------------+-------------------+ | - |","previous. Color Blind Appropriate Styles The styles \"seaborn-colorblind\", \"tableau-colorblind10\", \"bright\", \"vibrant\", and \"muted\"","on secondary y-axis. mark_right [optional, default is True] When using a secondary_y axis,","yaxis == \"log\": logy = True xlim = plotutils.know_your_limits(xlim, axis=xaxis) ylim = plotutils.know_your_limits(ylim,","+-------+----------------+ | 4 | tri_right | +-------+----------------+ | 8 | octagon | +-------+----------------+","vlines_linestyles: [optional, defaults to None] List of linestyles for the vertical lines. If","all of the characteristics of the previous. Color Blind Appropriate Styles The styles","tsutils.error_wrapper( \"\"\" You have to have the same number of style strings as","[optional, default is False] Whether to plot on the secondary y-axis. If a","You have to have the same number of style strings as time-series to","tsutils.make_list(hlines_xmax) hlines_colors = tsutils.make_list(hlines_colors) hlines_linestyles = tsutils.make_list(hlines_linestyles) nxlim = ax.get_xlim() if hlines_xmin is","hlines_xmin=[float, [\"pass\", []], None], # hlines_xmax=[float, [\"pass\", []], None], # hlines_colors=[str, [\"pass\", []],","plt from matplotlib.ticker import FixedLocator tsd = tsutils.common_kwds( input_ts, skiprows=skiprows, names=names, index_type=index_type, start_date=start_date,","norm_yaxis=norm_yaxis, lognorm_xaxis=lognorm_xaxis, lognorm_yaxis=lognorm_yaxis, xy_match_line=xy_match_line, grid=grid, label_rotation=label_rotation, label_skip=label_skip, force_freq=force_freq, drawstyle=drawstyle, por=por, invert_xaxis=invert_xaxis, invert_yaxis=invert_yaxis, round_index=round_index,","type in [ \"time\", \"xy\", \"bar\", \"bar_stacked\", \"histogram\", \"norm_xaxis\", \"lognorm_xaxis\", \"weibull_xaxis\", \"norm_yaxis\", \"lognorm_yaxis\",","+-------+----------------+ | D | diamond | +-------+----------------+ | d | thin diamond |","if type in [\"kde\", \"probability_density\"]: ax = tsd.plot.kde( legend=legend, subplots=subplots, sharex=sharex, sharey=sharey, style=None,","| +======+=========+ | b | blue | +------+---------+ | g | green |","a comma separated list of strings for each time-series in the data set.","create a PNG file. If used within Python, and `ofilename` is None will","time-series names associated with the input data. The 'legend_names' option allows you to","None, \"\", \" \", \" \"] + plotutils.HATCH_LIST], None], # style=[str, [\"pass\", []],","invert_xaxis is True: plt.gca().invert_xaxis() if invert_yaxis is True: plt.gca().invert_yaxis() plt.grid(grid) plt.title(title) plt.tight_layout() if","the probability plots. Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis.","will take for the standard linestyles list. \"\"\" plt = kde( input_ts=input_ts, columns=columns,","None], # linestyles=[str, [\"domain\", [\"auto\", None, \"\", \" \", \" \"] + plotutils.LINE_LIST],","then will be used as the linestyle for all vertical lines. If a","D | diamond | +-------+----------------+ | d | thin diamond | +-------+----------------+ |","[optional, default is False] Whether to plot grid lines on the major ticks.","time-series automatically. scatter_matrix_diagonal : str [optional, defaults to 'kde'] If plot type is","vlines_linestyles=vlines_linestyles, ) # @tsutils.validator( # ofilename=[str, [\"pass\", []], 1], # type=[str, [\"domain\", [\"kde\",],],","at the maximum x value for the entire plot. hlines_colors: [optional, defaults to","Comma separated lower and upper limits for the x-axis of the plot. For","[\"domain\", [True, False]], 1], # invert_yaxis=[bool, [\"domain\", [True, False]], 1], # plotting_position=[ #","Python API. To not display lines use a space (' ') as the","o | small circle | +-----------------+-------------------+ | O | large circle | +-----------------+-------------------+","allows you to override the names in the data set. You must supply","[\"range\", [1, None]], 1], # xtitle=[str, [\"pass\", []], 1], # ytitle=[str, [\"pass\", []],","tsutils.make_list(figsize, n=2) _, ax = plt.subplots(figsize=figsize) if type in [\"kde\", \"probability_density\"]: ax =","from __future__ import absolute_import, division, print_function import itertools import os import warnings import","| green | +------+---------+ | r | red | +------+---------+ | c |","able to be distinguished by someone with color blindness. Black, White, and Gray","to None] List of x values where to place a vertical line. vlines_ymin:","= tsutils.make_list(hlines_linestyles) nxlim = ax.get_xlim() if hlines_xmin is None: hlines_xmin = nxlim[0] if","# xy_match_line=[str, [\"pass\", []], 1], # grid=[bool, [\"domain\", [True, False]], 1], # label_rotation=[float,","DEPRECATED: use '--xaxis=\"log\"' instead. logy DEPRECATED: use '--yaxis=\"log\"' instead. xlim [optional, default is","'colors', 'linestyles', and 'markerstyles' instead of using the 'style' keyword. +-------+----------------+ | Code","'arithmetic'] Defines the type of the xaxis. One of 'arithmetic', 'log'. yaxis :","be same length as `vlines_x`. If None will take for the standard linestyles","normally use the time-series names associated with the input data. The 'legend_names' option","for the horizontal lines. If a single color then will be used as",") plot_styles = [ os.path.join(style_loc, i + \".mplstyle\") if os.path.exists(os.path.join(style_loc, i + \".mplstyle\"))","dashed line with star marker. bar_hatchstyles [optional, default to \"auto\", only used if","using the 'style' keyword. +-------+----------------+ | Code | Markers | +=======+================+ | .","1], # scatter_matrix_diagonal=[str, [\"domain\", [\"kde\", \"hist\"]], 1], # bootstrap_size=[int, [\"range\", [0, None]], 1],","to as needed. lag_plot_lag [optional, default to 1] The lag used if ``type``","is True: plt.gca().invert_yaxis() plt.grid(grid) plt.title(title) plt.tight_layout() if ofilename is not None: plt.savefig(ofilename) return","else i for i in linestyles] markerstyles = [\" \" if i is","Title of y-axis. title : str [optional, defaults to ''] Title of chart.","for the x-axis of the plot. For example, '--xlim 1,1000' would limit the","xlim=xlim, ylim=ylim, secondary_y=secondary_y, mark_right=mark_right, scatter_matrix_diagonal=scatter_matrix_diagonal, bootstrap_size=bootstrap_size, bootstrap_samples=bootstrap_samples, norm_xaxis=norm_xaxis, norm_yaxis=norm_yaxis, lognorm_xaxis=lognorm_xaxis, lognorm_yaxis=lognorm_yaxis, xy_match_line=xy_match_line, grid=grid,","plot. vlines_colors: [optional, defaults to None] List of colors for the vertical lines.","plotutils.LINE_LIST], # None, # ], # ) def kde( input_ts=\"-\", columns=None, start_date=None, end_date=None,","Currently the 'style' option will override the others. Comma separated matplotlib style strings","| c | cyan | +------+---------+ | m | magenta | +------+---------+ |","left | +-------+----------------+ | > | triangle right | +-------+----------------+ | 1 |","the minimum x value for the entire plot. vlines_ymax: [optional, defaults to None]","a single color then will be used as the color for all vertical","from 1 to 1000, where '--xlim ,1000' would base the lower limit on","all vertical lines. A missing value or None will start at the minimum","try: linestyles.append(st[2:]) except IndexError: linestyles.append(\" \") else: markerstyles.append(\" \") linestyles.append(st[1:]) if linestyles is","source_units=None, target_units=None, lag_plot_lag=1, plot_styles=\"bright\", hlines_y=None, hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\"-\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None,","hlines_y is not None: if type in [\"norm_yaxis\", \"lognorm_yaxis\", \"weibull_yaxis\"]: hlines_y = ppf(tsutils.make_list(hlines_y))","' ' | nothing | +-------+----------------+ | '' | nothing | +-------+----------------+ Marker","to None] List of maximum x values to end each vertical line. If","| plus | +-------+----------------+ | x | x | +-------+----------------+ | D |","[optional, defaults to None] List of colors for the vertical lines. If a","[\"pass\", []], None], # vlines_colors=[str, [\"pass\", []], None], # vlines_linestyles=[ # str, #","to '10,6.5'] The 'width,height' of plot in inches. legend [optional, defaults to True]","style=\"auto\", logx=False, logy=False, xaxis=\"arithmetic\", yaxis=\"arithmetic\", xlim=None, ylim=None, secondary_y=False, mark_right=True, scatter_matrix_diagonal=\"kde\", bootstrap_size=50, bootstrap_samples=500, norm_xaxis=False,","Comma separated lower and upper limits for the y-axis of the plot. See","in a column of the \"IEEE\" journal. The \"grayscale\" is another style useful","colors in four different ways. 1. Use 'CN' where N is a number","utf-8 -*- \"\"\"Collection of functions for the manipulation of time series.\"\"\" from __future__","hlines_colors=[str, [\"pass\", []], None], # hlines_linestyles=[ # str, # [\"domain\", [\"auto\", None, \"\",","\"bright\", \"vibrant\", \"muted\", and \"retro\". If multiple styles then each over rides some","None: vlines_ymin = nylim[0] if vlines_ymax is None: vlines_ymax = nylim[1] if type","plt.gca().invert_yaxis() plt.grid(grid) plt.title(title) plt.tight_layout() if ofilename is not None: plt.savefig(ofilename) return plt kde.__doc__","prob_plot_sort_values=prob_plot_sort_values, source_units=source_units, target_units=target_units, lag_plot_lag=lag_plot_lag, plot_styles=plot_styles, hlines_y=hlines_y, hlines_xmin=hlines_xmin, hlines_xmax=hlines_xmax, hlines_colors=hlines_colors, hlines_linestyles=hlines_linestyles, vlines_x=vlines_x, vlines_ymin=vlines_ymin, vlines_ymax=vlines_ymax,","# plotting_position=[ # str, # [ # \"domain\", # [\"weibull\", \"benard\", \"tukey\", \"gumbel\",","[optional, default to False] In case subplots=True, share y axis. colors [optional, default","Can identify colors in four different ways. 1. Use 'CN' where N is","where 0 is white an 1 is black. 4. Any of the HTML","through the available matplotlib marker types. Otherwise on the command line a comma","is 'arithmetic'] Defines the type of the xaxis. One of 'arithmetic', 'log'. yaxis","single number will be the maximum x value for all vertical lines. A","'CN' where N is a number from 0 to 9 that gets the","a match line where x == y. Set to a line style code.","default is False] Whether to plot on the secondary y-axis. If a list/tuple,","], # ], # None, # ], # hlines_y=[float, [\"pass\", []], None], #","is to help pretty print the frequency try: try: pltfreq = str(tsd.index.freq, \"utf-8\").lower()","to work around some old option defaults with the implementation of # mando","[\"auto\", None, \"\", \" \", \" \"] + plotutils.LINE_LIST], # None, # ],","= \" \" if style != \"auto\": nstyle = tsutils.make_list(style) if len(nstyle) !=","ilinestyles = itertools.cycle(linestyles) # Only for bar, barh, bar_stacked, and barh_stacked. ibar_hatchstyles =","[optional, defaults to None] List of maximum x values to end each horizontal","\"bar_stacked\", and \"barh_stacked\"] If 'auto' will iterate through the available matplotlib hatch types.","'--xlim ,1000' would base the lower limit on the data and set the","None], # vlines_colors=[str, [\"pass\", []], None], # vlines_linestyles=[ # str, # [\"domain\", [\"auto\",","if legend is True: plt.legend(loc=\"best\") if hlines_y is not None: hlines_y = tsutils.make_list(hlines_y)","print the frequency try: try: pltfreq = str(tsd.index.freq, \"utf-8\").lower() except TypeError: pltfreq =","'--type=\"norm_yaxis\"' instead. lognorm_xaxis DEPRECATED: use '--type=\"lognorm_xaxis\"' instead. lognorm_yaxis DEPRECATED: use '--type=\"lognorm_yaxis\"' instead. xy_match_line","[1, None]], 1], # drawstyle=[str, [\"pass\", []], 1], # por=[bool, [\"domain\", [True, False]],","True] When using a secondary_y axis, should the legend label the axis of","tsd = tsutils.common_kwds( input_ts, skiprows=skiprows, names=names, index_type=index_type, start_date=start_date, end_date=end_date, pick=columns, round_index=round_index, dropna=\"all\", source_units=source_units,","List of colors for the horizontal lines. If a single color then will","plot_styles=\"bright\", hlines_y=None, hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\"-\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\"-\", **kwds, ):","connects the points with lines. The steps variants produce step-plots. 'steps' is equivalent","\"science\", # \"grid\", # \"ieee\", # \"scatter\", # \"notebook\", # \"high-vis\", # \"bright\",","| y | yellow | +------+---------+ | k | black | +------+---------+ 3.","Gray Styles The \"ieee\" style is appropriate for black, white, and gray, however","subset for 'bootstrap' plot. bootstrap_samples [optional, defaults to 500] The number of random","defaults to None] List of linestyles for the vertical lines. If a single","lognorm_xaxis=lognorm_xaxis, lognorm_yaxis=lognorm_yaxis, xy_match_line=xy_match_line, grid=grid, label_rotation=label_rotation, label_skip=label_skip, force_freq=force_freq, drawstyle=drawstyle, por=por, invert_xaxis=invert_xaxis, invert_yaxis=invert_yaxis, round_index=round_index, plotting_position=plotting_position,","if len(st) == 1: markerstyles.append(\" \") linestyles.append(\"-\") continue if st[1] in plotutils.MARKER_LIST: markerstyles.append(st[1])","| tri_right | +-------+----------------+ | 8 | octagon | +-------+----------------+ | s |","the data called kernel density estimation (KDE). {ydata} Parameters ---------- {input_ts} ofilename :","of color code strings. Can identify colors in four different ways. 1. Use","\"seaborn-muted\", \"seaborn-notebook\", \"seaborn-paper\", \"seaborn-pastel\", \"seaborn-poster\", \"seaborn-talk\", \"seaborn-ticks\", \"seaborn-white\", \"seaborn-whitegrid\", \"tableau-colorblind10\", and SciencePlots styles","the points with lines. The steps variants produce step-plots. 'steps' is equivalent to","photo-copyable black, white, nd gray. Matplotlib styles: https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_reference.html SciencePlots styles: https://github.com/garrettj403/SciencePlots hlines_y: [optional,","None]], 1], # xy_match_line=[str, [\"pass\", []], 1], # grid=[bool, [\"domain\", [True, False]], 1],","tstoolbox import tsutils from .. import plotutils warnings.filterwarnings(\"ignore\") @mando.command(\"kde\", formatter_class=RSTHelpFormatter, doctype=\"numpy\") @tsutils.doc(plotutils.ldocstrings) def","h | hexagon1 | +-------+----------------+ | H | hexagon2 | +-------+----------------+ | ``+``","\"tableau-colorblind10\", and SciencePlots styles \"science\", \"grid\", \"ieee\", \"scatter\", \"notebook\", \"high-vis\", \"bright\", \"vibrant\", \"muted\",","vlines_x is not None: if type in [\"norm_xaxis\", \"lognorm_xaxis\", \"weibull_xaxis\"]: vlines_x = ppf(tsutils.make_list(vlines_x))","False] Make separate subplots for each time series. sharex [optional, default to True]","list of y values where to place a horizontal line. hlines_xmin: [optional, defaults","\"seaborn-darkgrid\", # \"seaborn-deep\", # \"seaborn-muted\", # \"seaborn-notebook\", # \"seaborn-paper\", # \"seaborn-pastel\", # \"seaborn-poster\",","tri_right | +-------+----------------+ | 8 | octagon | +-------+----------------+ | s | square","'steps-pre' and is maintained for backward-compatibility. ACCEPTS:: ['default' | 'steps' | 'steps-pre' |","| + | crossed | +-----------------+-------------------+ | x | crossed diagonal | +-----------------+-------------------+","'log'. secondary_y [optional, default is False] Whether to plot on the secondary y-axis.","= plotutils.know_your_limits(ylim, axis=yaxis) plot_styles = tsutils.make_list(plot_styles) + [\"no-latex\"] style_loc = os.path.join( os.path.dirname(__file__), os.pardir,","+------+---------+ | k | black | +------+---------+ 3. Number between 0 and 1","the vertical lines. If a single color then will be used as the",": | dotted | +---------+--------------+ | None | draw nothing | +---------+--------------+ |","input_ts=input_ts, columns=columns, start_date=start_date, end_date=end_date, clean=clean, skiprows=skiprows, index_type=index_type, names=names, ofilename=ofilename, xtitle=xtitle, ytitle=ytitle, title=title, figsize=figsize,","+ [\"no-latex\"] style_loc = os.path.join( os.path.dirname(__file__), os.pardir, \"SciencePlots_styles\" ) plot_styles = [ os.path.join(style_loc,","| +------------------+ Color reference: http://matplotlib.org/api/colors_api.html linestyles [optional, default to 'auto'] If 'auto' will",": int [optional] Rotation for major labels for bar plots. label_skip : int","por=[bool, [\"domain\", [True, False]], 1], # invert_xaxis=[bool, [\"domain\", [True, False]], 1], # invert_yaxis=[bool,","style. 2. Single character code from the table below. +------+---------+ | Code |","str [optional, defaults to None] Legend would normally use the time-series names associated","of gray, where 0 is white an 1 is black. 4. Any of","= tsutils.make_list(markerstyles) if markerstyles is None: markerstyles = \" \" if style !=","len(nstyle) != len(tsd.columns): raise ValueError( tsutils.error_wrapper( \"\"\" You have to have the same","as `vlines_x`. If None will take from the color pallette in the current","lower limit on the data and set the upper limit to 1000. ylim","\") linestyles.append(st[1:]) if linestyles is None: linestyles = [\" \"] else: linestyles =","True: plt.gca().invert_xaxis() if invert_yaxis is True: plt.gca().invert_yaxis() plt.grid(grid) plt.title(title) plt.tight_layout() if ofilename is","values to start the vertical line. If a list must be same length","plotutils.LINE_LIST else: linestyles = tsutils.make_list(linestyles) if bar_hatchstyles == \"auto\": bar_hatchstyles = plotutils.HATCH_LIST else:","vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\"-\", **kwds, ): r\"\"\"Plot data.\"\"\" # Need to work around","Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. prob_plot_sort_values : str","journal. The \"grayscale\" is another style useful for photo-copyable black, white, nd gray.","for all horizontal lines. If a list must be same length as `hlines_y`.","deprecated. * * For --logx use --xaxis=\"log\" * For --logy use --yaxis=\"log\" *","+ \".mplstyle\")) else i for i in plot_styles ] plt.style.use(plot_styles) figsize = tsutils.make_list(figsize,","supplied '{}' for style which has {} style strings, but you have {}","pltfreq = str(tsd.index.freq).lower() if pltfreq.split(\" \")[0][1:] == \"1\": beginstr = 3 else: beginstr","line with star marker. bar_hatchstyles [optional, default to \"auto\", only used if type","[\"pass\", []], None], # vlines_ymax=[float, [\"pass\", []], None], # vlines_colors=[str, [\"pass\", []], None],","default to \"auto\", only used if type equal to \"bar\", \"barh\", \"bar_stacked\", and","for the entire plot. vlines_colors: [optional, defaults to None] List of colors for","to 50] The size of the random subset for 'bootstrap' plot. bootstrap_samples [optional,","): r\"\"\"Kernel density estimation of probability density function. \"kde\" will create a plot","# vlines_colors=[str, [\"pass\", []], None], # vlines_linestyles=[ # str, # [\"domain\", [\"auto\", None,","the y-axis of the plot. See `xlim` for examples. xaxis : str [optional,","vlines_ymax = tsutils.make_list(vlines_ymax) vlines_colors = tsutils.make_list(vlines_colors) vlines_linestyles = tsutils.make_list(vlines_linestyles) nylim = ax.get_ylim() if","| diamond | +-------+----------------+ | d | thin diamond | +-------+----------------+ | _","to False] In case subplots=True, share y axis. colors [optional, default is 'auto']","weibull_yaxis. {columns} {start_date} {end_date} {clean} {skiprows} {index_type} {names} {source_units} {target_units} {round_index} plot_styles: str","identify colors in four different ways. 1. Use 'CN' where N is a","[\" \", None] else i for i in linestyles] markerstyles = [\" \"","| +-------+----------------+ | > | triangle right | +-------+----------------+ | 1 | tri_down","y-axis. plotting_position : str [optional, default is 'weibull'] {plotting_position_table} Only used for norm_xaxis,","is black. 4. Any of the HTML color names. +------------------+ | HTML Color","in [ \"time\", \"xy\", \"bar\", \"bar_stacked\", \"histogram\", \"norm_xaxis\", \"lognorm_xaxis\", \"weibull_xaxis\", \"norm_yaxis\", \"lognorm_yaxis\", \"weibull_yaxis\",","added to as needed. lag_plot_lag [optional, default to 1] The lag used if","the input data. The 'legend_names' option allows you to override the names in","\"tableau-colorblind10\", \"bright\", \"vibrant\", and \"muted\" are all styles that are setup to be","time-series in the data set. subplots [optional, defaults to False] Make separate subplots","invert_xaxis=False, invert_yaxis=False, round_index=None, plotting_position=\"weibull\", prob_plot_sort_values=\"descending\", source_units=None, target_units=None, lag_plot_lag=1, plot_styles=\"bright\", hlines_y=None, hlines_xmin=None, hlines_xmax=None, hlines_colors=None,","value or None will start at the minimum x value for the entire","plot. See `xlim` for examples. xaxis : str [optional, default is 'arithmetic'] Defines","+------------------+ | HTML Color Names | +==================+ | red | +------------------+ | burlywood","to None] Number or list of y values where to place a horizontal","# invert_xaxis=[bool, [\"domain\", [True, False]], 1], # invert_yaxis=[bool, [\"domain\", [True, False]], 1], #","steps variants produce step-plots. 'steps' is equivalent to 'steps-pre' and is maintained for","8 | octagon | +-------+----------------+ | s | square | +-------+----------------+ | p","* * For --logx use --xaxis=\"log\" * For --logy use --yaxis=\"log\" * For","display lines use a space (' ') as the linestyle code. Separated 'colors',","| * | stars | +-----------------+-------------------+ logx DEPRECATED: use '--xaxis=\"log\"' instead. logy DEPRECATED:","[]], None], # vlines_ymax=[float, [\"pass\", []], None], # vlines_colors=[str, [\"pass\", []], None], #","+-------+----------------+ | ``+`` | plus | +-------+----------------+ | x | x | +-------+----------------+","os.path.dirname(__file__), os.pardir, \"SciencePlots_styles\" ) plot_styles = [ os.path.join(style_loc, i + \".mplstyle\") if os.path.exists(os.path.join(style_loc,","to 'plot.png'] Output filename for the plot. Extension defines the type, for example","to a line style code. grid [optional, default is False] Whether to plot","If a list must be same length as `hlines_y`. If a single number","[True, False]], 1], # invert_yaxis=[bool, [\"domain\", [True, False]], 1], # plotting_position=[ # str,","The \"ieee\" style is appropriate for black, white, and gray, however the \"ieee\"","style [optional, default is None] Still available, but if None is replaced by","--lognorm_yaxis options are deprecated. * * For --logx use --xaxis=\"log\" * For --logy","2. Single character code from the table below. +------+---------+ | Code | Color","the horizontal lines. If a single color then will be used as the","| +-------+----------------+ | '' | nothing | +-------+----------------+ Marker reference: http://matplotlib.org/api/markers_api.html style [optional,","API. +-----------------+-------------------+ | bar_hatchstyles | Description | +=================+===================+ | / | diagonal hatching","logy=logy, xaxis=xaxis, yaxis=yaxis, xlim=xlim, ylim=ylim, secondary_y=secondary_y, mark_right=mark_right, scatter_matrix_diagonal=scatter_matrix_diagonal, bootstrap_size=bootstrap_size, bootstrap_samples=bootstrap_samples, norm_xaxis=norm_xaxis, norm_yaxis=norm_yaxis, lognorm_xaxis=lognorm_xaxis,","linestyles = [\" \" if i in [\" \", None] else i for","None: if type in [\"norm_xaxis\", \"lognorm_xaxis\", \"weibull_xaxis\"]: vlines_x = ppf(tsutils.make_list(vlines_x)) plt.vlines( vlines_x, vlines_ymin,","ax = plt.subplots(figsize=figsize) if type in [\"kde\", \"probability_density\"]: ax = tsd.plot.kde( legend=legend, subplots=subplots,",") if vlines_x is not None: if type in [\"norm_xaxis\", \"lognorm_xaxis\", \"weibull_xaxis\"]: vlines_x","sharey=False, colors=\"auto\", linestyles=\"auto\", markerstyles=\" \", bar_hatchstyles=\"auto\", style=\"auto\", logx=False, logy=False, xaxis=\"arithmetic\", yaxis=\"arithmetic\", xlim=None, ylim=None,","You must supply a comma separated list of strings for each time-series in","that represents the level of gray, where 0 is white an 1 is","[optional, default to ' '] The default ' ' will not plot a","colors=[str, [\"pass\", []], None], # linestyles=[str, [\"domain\", [\"auto\", None, \"\", \" \", \"","[\"pass\", []], 2], # xaxis=[str, [\"domain\", [\"arithmetic\", \"log\"]], 1], # yaxis=[str, [\"domain\", [\"arithmetic\",","1], # plot_styles=[ # str, # [ # \"domain\", # [ # \"classic\",","will end at the maximum x value for the entire plot. hlines_colors: [optional,","# [ # \"domain\", # [ # \"classic\", # \"Solarize_Light2\", # \"bmh\", #","= tsutils.make_list(vlines_linestyles) nylim = ax.get_ylim() if vlines_ymin is None: vlines_ymin = nylim[0] if","str(tsd.index.freq, \"utf-8\").lower() except TypeError: pltfreq = str(tsd.index.freq).lower() if pltfreq.split(\" \")[0][1:] == \"1\": beginstr","will start at the minimum x value for the entire plot. hlines_xmax: [optional,","False] Invert the x-axis. invert_yaxis [optional, default is False] Invert the y-axis. plotting_position","# \"tableau-colorblind10\", # \"science\", # \"grid\", # \"ieee\", # \"scatter\", # \"notebook\", #","[]], None], # vlines_ymin=[float, [\"pass\", []], None], # vlines_ymax=[float, [\"pass\", []], None], #","| magenta | +------+---------+ | y | yellow | +------+---------+ | k |","for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. prob_plot_sort_values : str [optional, default","If a single number will be the maximum x value for all vertical","else: markerstyles = tsutils.make_list(markerstyles) if markerstyles is None: markerstyles = \" \" if","style != \"auto\": nstyle = tsutils.make_list(style) if len(nstyle) != len(tsd.columns): raise ValueError( tsutils.error_wrapper(","n=2) _, ax = plt.subplots(figsize=figsize) if type in [\"kde\", \"probability_density\"]: ax = tsd.plot.kde(","colors in the chosen style. At the command line supply a comma separated","[\"range\", [0, None]], 1], # xy_match_line=[str, [\"pass\", []], 1], # grid=[bool, [\"domain\", [True,","\"bar_stacked\", \"histogram\", \"norm_xaxis\", \"lognorm_xaxis\", \"weibull_xaxis\", \"norm_yaxis\", \"lognorm_yaxis\", \"weibull_yaxis\", ]: if hlines_y is not","None] Legend would normally use the time-series names associated with the input data.","= tsutils.common_kwds( input_ts, skiprows=skiprows, names=names, index_type=index_type, start_date=start_date, end_date=end_date, pick=columns, round_index=round_index, dropna=\"all\", source_units=source_units, target_units=target_units,","\"grayscale\", # \"seaborn\", # \"seaborn-bright\", # \"seaborn-colorblind\", # \"seaborn-dark\", # \"seaborn-dark-palette\", # \"seaborn-darkgrid\",","by someone with color blindness. Black, White, and Gray Styles The \"ieee\" style",") ) colors = [] markerstyles = [] linestyles = [] for st","O | large circle | +-----------------+-------------------+ | . | dots | +-----------------+-------------------+ |","in [\"kde\", \"probability_density\"]: ax = tsd.plot.kde( legend=legend, subplots=subplots, sharex=sharex, sharey=sharey, style=None, logx=logx, logy=logy,","separated matplotlib style strings per time-series. Just combine codes in 'ColorMarkerLine' order, for","2], # legend=[bool, [\"domain\", [True, False]], 1], # legend_names=[str, [\"pass\", []], 1], #","ax.get_xlim() if hlines_xmin is None: hlines_xmin = nxlim[0] if hlines_xmax is None: hlines_xmax","on the secondary y-axis. If a list/tuple, which time-series to plot on secondary","a line style code. grid [optional, default is False] Whether to plot grid","[] linestyles = [] for st in nstyle: colors.append(st[0]) if len(st) == 1:","lognorm_xaxis is True or lognorm_yaxis is True ): warnings.warn( \"\"\" * * The","type is 'scatter_matrix', this specifies the plot along the diagonal. One of 'kde'","triangle left | +-------+----------------+ | > | triangle right | +-------+----------------+ | 1","style strings, but you have {} time-series. \"\"\".format( style, len(nstyle), len(tsd.columns) ) )","the type, for example 'filename.png' will create a PNG file. If used within","hlines_y=None, hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\"-\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\"-\", ): r\"\"\"Kernel density","of maximum x values to end each vertical line. If a list must","is True or norm_xaxis is True or norm_yaxis is True or lognorm_xaxis is","+-----------------+-------------------+ | ``|`` | vertical | +-----------------+-------------------+ | - | horizontal | +-----------------+-------------------+","| HTML Color Names | +==================+ | red | +------------------+ | burlywood |","type, for example 'filename.png' will create a PNG file. If used within Python,","At the command line supply a comma separated matplotlib color codes, or within","major labels for bar plots. label_skip : int [optional] Skip for major labels","enumerate(ax.lines): if icolors is not None: c = next(icolors) else: c = None","vertical lines. If a list must be same length as `vlines_x`. If None","# None, # ], # hlines_y=[float, [\"pass\", []], None], # hlines_xmin=[float, [\"pass\", []],","nothing | +---------+--------------+ | ' ' | draw nothing | +---------+--------------+ | ''","1], # grid=[bool, [\"domain\", [True, False]], 1], # label_rotation=[float, [\"pass\", []], 1], #","axis=yaxis) plot_styles = tsutils.make_list(plot_styles) + [\"no-latex\"] style_loc = os.path.join( os.path.dirname(__file__), os.pardir, \"SciencePlots_styles\" )","the probability density function based on the data called kernel density estimation (KDE).","or legend == \"True\" or legend is None) type = \"kde\" import matplotlib","vlines_colors = tsutils.make_list(vlines_colors) vlines_linestyles = tsutils.make_list(vlines_linestyles) nylim = ax.get_ylim() if vlines_ymin is None:","bar_hatchstyles=\"auto\", style=\"auto\", logx=False, logy=False, xaxis=\"arithmetic\", yaxis=\"arithmetic\", xlim=None, ylim=None, secondary_y=False, mark_right=True, scatter_matrix_diagonal=\"kde\", bootstrap_size=50, bootstrap_samples=500,","| ...etc. | +------------------+ Color reference: http://matplotlib.org/api/colors_api.html linestyles [optional, default to 'auto'] If","ylim=ylim, secondary_y=secondary_y, figsize=figsize, ) for index, line in enumerate(ax.lines): if icolors is not","vlines_ymin = tsutils.make_list(vlines_ymin) vlines_ymax = tsutils.make_list(vlines_ymax) vlines_colors = tsutils.make_list(vlines_colors) vlines_linestyles = tsutils.make_list(vlines_linestyles) nylim","| +-----------------+-------------------+ | ``|`` | vertical | +-----------------+-------------------+ | - | horizontal |","API. Separated 'colors', 'linestyles', and 'markerstyles' instead of using the 'style' keyword. +-------+----------------+","Code | Color | +======+=========+ | b | blue | +------+---------+ | g","used as the minimum x values for all vertical lines. A missing value","is based on range of x values] Comma separated lower and upper limits","'style' keyword. +---------+--------------+ | Code | Lines | +=========+==============+ | ``-`` | solid","if imarkerstyles is not None: m = next(imarkerstyles) else: m = None if","called kernel density estimation (KDE). {ydata} Parameters ---------- {input_ts} ofilename : str [optional,","None: markerstyles = \" \" if style != \"auto\": nstyle = tsutils.make_list(style) if","\"({})\".format(pltfreq[beginstr:-1]) except AttributeError: short_freq = \"\" if colors == \"auto\": colors = None","color from the current style. 2. Single character code from the table below.","ACCEPTS:: ['default' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post'] por [optional] Plot","'] The default ' ' will not plot a marker. If 'auto' will","\"True\" or legend is None) type = \"kde\" import matplotlib matplotlib.use(\"Agg\") import matplotlib.pyplot","based on the data called kernel density estimation (KDE). {ydata} Parameters ---------- {input_ts}","instead. lognorm_xaxis DEPRECATED: use '--type=\"lognorm_xaxis\"' instead. lognorm_yaxis DEPRECATED: use '--type=\"lognorm_yaxis\"' instead. xy_match_line :","of Matplotlib styles \"classic\", \"Solarize_Light2\", \"bmh\", \"dark_background\", \"fast\", \"fivethirtyeight\", \"ggplot\", \"grayscale\", \"seaborn\", \"seaborn-bright\",","axis, should the legend label the axis of the various time-series automatically. scatter_matrix_diagonal","\" \" if style != \"auto\": nstyle = tsutils.make_list(style) if len(nstyle) != len(tsd.columns):","mark_right=True, scatter_matrix_diagonal=\"kde\", bootstrap_size=50, bootstrap_samples=500, norm_xaxis=False, norm_yaxis=False, lognorm_xaxis=False, lognorm_yaxis=False, xy_match_line=\"\", grid=False, label_rotation=None, label_skip=1, force_freq=None,","None will take from the color pallette in the current plot style. vlines_linestyles:","\"seaborn-deep\", # \"seaborn-muted\", # \"seaborn-notebook\", # \"seaborn-paper\", # \"seaborn-pastel\", # \"seaborn-poster\", # \"seaborn-talk\",","vlines_ymax = nylim[1] if type in [ \"time\", \"xy\", \"bar\", \"bar_stacked\", \"histogram\", \"norm_xaxis\",","warnings import mando import numpy as np import pandas as pd from mando.rst_text_formatter","create a plot of estimation of the probability density function based on the","st in nstyle: colors.append(st[0]) if len(st) == 1: markerstyles.append(\" \") linestyles.append(\"-\") continue if","not None: plt.setp(line, color=c) plt.setp(line, marker=m) plt.setp(line, linestyle=l) ytitle = ytitle or \"Density\"","[optional, default is 'default'] 'default' connects the points with lines. The steps variants","ylim = plotutils.know_your_limits(ylim, axis=yaxis) plot_styles = tsutils.make_list(plot_styles) + [\"no-latex\"] style_loc = os.path.join( os.path.dirname(__file__),","plt.setp(line, linestyle=l) ytitle = ytitle or \"Density\" if legend is True: plt.legend(loc=\"best\") if","# \"seaborn-poster\", # \"seaborn-talk\", # \"seaborn-ticks\", # \"seaborn-white\", # \"seaborn-whitegrid\", # \"tableau-colorblind10\", #","2], # ylim=[float, [\"pass\", []], 2], # xaxis=[str, [\"domain\", [\"arithmetic\", \"log\"]], 1], #","defaults to 'kde'] If plot type is 'scatter_matrix', this specifies the plot along","'arithmetic', 'log'. secondary_y [optional, default is False] Whether to plot on the secondary","star | +-------+----------------+ | h | hexagon1 | +-------+----------------+ | H | hexagon2","backward-compatibility. ACCEPTS:: ['default' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post'] por [optional]","style useful for photo-copyable black, white, nd gray. Matplotlib styles: https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_reference.html SciencePlots styles:","[\"domain\", [True, False]], 1], # label_rotation=[float, [\"pass\", []], 1], # label_skip=[int, [\"range\", [1,","start at the minimum x value for the entire plot. vlines_ymax: [optional, defaults","start_date=start_date, end_date=end_date, clean=clean, skiprows=skiprows, index_type=index_type, names=names, ofilename=ofilename, xtitle=xtitle, ytitle=ytitle, title=title, figsize=figsize, legend=legend, legend_names=legend_names,","single number will be the maximum x value for all horizontal lines. A","`hlines_y`. If a single number will be the maximum x value for all","a red dashed line with star marker. bar_hatchstyles [optional, default to \"auto\", only","time-series. \"\"\".format( style, len(nstyle), len(tsd.columns) ) ) ) colors = [] markerstyles =","the standard linestyles list. vlines_x: [optional, defaults to None] List of x values","hlines_colors = tsutils.make_list(hlines_colors) hlines_linestyles = tsutils.make_list(hlines_linestyles) nxlim = ax.get_xlim() if hlines_xmin is None:","ytitle=ytitle, title=title, figsize=figsize, legend=legend, legend_names=legend_names, subplots=subplots, sharex=sharex, sharey=sharey, colors=colors, linestyles=linestyles, markerstyles=markerstyles, bar_hatchstyles=bar_hatchstyles, style=style,","file. If used within Python, and `ofilename` is None will return the Matplotlib","ways. 1. Use 'CN' where N is a number from 0 to 9","if ilinestyles is not None: l = next(ilinestyles) else: l = None if","hlines_xmax is None: hlines_xmax = nxlim[1] if vlines_x is not None: vlines_x =","and \"retro\". If multiple styles then each over rides some or all of","size to fit in a column of the \"IEEE\" journal. The \"grayscale\" is","`hlines_y`. If a single number will be used as the minimum x values","to None] List of colors for the horizontal lines. If a single color","# \"scatter\", # \"notebook\", # \"high-vis\", # \"bright\", # \"vibrant\", # \"muted\", #","markerstyles] if colors is not None: icolors = itertools.cycle(colors) else: icolors = None","through matplotlib colors in the chosen style. At the command line supply a","the \"ieee\" also will change the chart size to fit in a column","if c is not None: plt.setp(line, color=c) plt.setp(line, marker=m) plt.setp(line, linestyle=l) ytitle =","<filename>src/plottoolbox/functions/kde.py # -*- coding: utf-8 -*- \"\"\"Collection of functions for the manipulation of","last good value. Strips NANs from beginning and end. {force_freq} invert_xaxis [optional, default","in [\" \", None] else i for i in linestyles] markerstyles = [\"","'r*--' is a red dashed line with star marker. bar_hatchstyles [optional, default to","be used as the color for all vertical lines. If a list must","| ``\\`` | back diagonal | +-----------------+-------------------+ | ``|`` | vertical | +-----------------+-------------------+","p | pentagon | +-------+----------------+ | ``*`` | star | +-------+----------------+ | h","[optional, defaults to '10,6.5'] The 'width,height' of plot in inches. legend [optional, defaults","bootstrap_size=50, bootstrap_samples=500, norm_xaxis=False, norm_yaxis=False, lognorm_xaxis=False, lognorm_yaxis=False, xy_match_line=\"\", grid=False, label_rotation=None, label_skip=1, force_freq=None, drawstyle=\"default\", por=False,","0 is white an 1 is black. 4. Any of the HTML color","point | +-------+----------------+ | o | circle | +-------+----------------+ | v | triangle","specifies the plot along the diagonal. One of 'kde' for Kernel Density Estimation","[ # \"classic\", # \"Solarize_Light2\", # \"bmh\", # \"dark_background\", # \"fast\", # \"fivethirtyeight\",","# \"seaborn-ticks\", # \"seaborn-white\", # \"seaborn-whitegrid\", # \"tableau-colorblind10\", # \"science\", # \"grid\", #","{plotting_position_table} Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. prob_plot_sort_values :","maximum x value for the entire plot. hlines_colors: [optional, defaults to None] List","will cycle through matplotlib colors in the chosen style. At the command line","( logx is True or logy is True or norm_xaxis is True or","[optional] Plot from first good value to last good value. Strips NANs from","character code from the table below. +------+---------+ | Code | Color | +======+=========+","else: markerstyles.append(\" \") linestyles.append(st[1:]) if linestyles is None: linestyles = [\" \"] else:","True if yaxis == \"log\": logy = True xlim = plotutils.know_your_limits(xlim, axis=xaxis) ylim","None) type = \"kde\" import matplotlib matplotlib.use(\"Agg\") import matplotlib.pyplot as plt from matplotlib.ticker","to 9 that gets the Nth color from the current style. 2. Single","\"muted\" are all styles that are setup to be able to be distinguished","'linestyles', and 'markerstyles' options. Currently the 'style' option will override the others. Comma","lines. A missing value or None will end at the maximum x value","is replaced by 'colors', 'linestyles', and 'markerstyles' options. Currently the 'style' option will","be the maximum x value for all vertical lines. A missing value or","defaults with the implementation of # mando legend = bool(legend == \"\" or","* For --logy use --yaxis=\"log\" * For --norm_xaxis use --type=\"norm_xaxis\" * For --norm_yaxis","secondary y-axis. If a list/tuple, which time-series to plot on secondary y-axis. mark_right","# \"seaborn-pastel\", # \"seaborn-poster\", # \"seaborn-talk\", # \"seaborn-ticks\", # \"seaborn-white\", # \"seaborn-whitegrid\", #","must be same length as `vlines_x`. If None will take from the color","linestyles.append(st[1:]) if linestyles is None: linestyles = [\" \"] else: linestyles = [\"","over rides some or all of the characteristics of the previous. Color Blind","| +==================+ | red | +------------------+ | burlywood | +------------------+ | chartreuse |","\"seaborn-bright\", \"seaborn-colorblind\", \"seaborn-dark\", \"seaborn-dark-palette\", \"seaborn-darkgrid\", \"seaborn-deep\", \"seaborn-muted\", \"seaborn-notebook\", \"seaborn-paper\", \"seaborn-pastel\", \"seaborn-poster\", \"seaborn-talk\", \"seaborn-ticks\",","# vlines_x=[float, [\"pass\", []], None], # vlines_ymin=[float, [\"pass\", []], None], # vlines_ymax=[float, [\"pass\",","\"bar\", \"bar_stacked\", \"histogram\", \"norm_xaxis\", \"lognorm_xaxis\", \"weibull_xaxis\", \"norm_yaxis\", \"lognorm_yaxis\", \"weibull_yaxis\", ]: if hlines_y is","[optional, default is based on range of y values] Comma separated lower and","type in [\"norm_xaxis\", \"lognorm_xaxis\", \"weibull_xaxis\"]: vlines_x = ppf(tsutils.make_list(vlines_x)) plt.vlines( vlines_x, vlines_ymin, vlines_ymax, colors=vlines_colors,","legend_names=[str, [\"pass\", []], 1], # subplots=[bool, [\"domain\", [True, False]], 1], # sharex=[bool, [\"domain\",","If a list must be same length as `vlines_x`. If None will take","= True if yaxis == \"log\": logy = True xlim = plotutils.know_your_limits(xlim, axis=xaxis)","in inches. legend [optional, defaults to True] Whether to display the legend. legend_names","'auto' will cycle through matplotlib colors in the chosen style. At the command","examples. xaxis : str [optional, default is 'arithmetic'] Defines the type of the","| x | x | +-------+----------------+ | D | diamond | +-------+----------------+ |","Use 'CN' where N is a number from 0 to 9 that gets","the random subset for 'bootstrap' plot. bootstrap_samples [optional, defaults to 500] The number","and is maintained for backward-compatibility. ACCEPTS:: ['default' | 'steps' | 'steps-pre' | 'steps-mid'","nothing | +---------+--------------+ Line reference: http://matplotlib.org/api/artist_api.html markerstyles [optional, default to ' '] The","plotutils.HATCH_LIST else: bar_hatchstyles = tsutils.make_list(bar_hatchstyles) if markerstyles == \"auto\": markerstyles = plotutils.MARKER_LIST else:","tsutils.make_list(vlines_ymin) vlines_ymax = tsutils.make_list(vlines_ymax) vlines_colors = tsutils.make_list(vlines_colors) vlines_linestyles = tsutils.make_list(vlines_linestyles) nylim = ax.get_ylim()","start at the minimum x value for the entire plot. hlines_xmax: [optional, defaults","\"kde\" import matplotlib matplotlib.use(\"Agg\") import matplotlib.pyplot as plt from matplotlib.ticker import FixedLocator tsd","= nxlim[1] if vlines_x is not None: vlines_x = tsutils.make_list(vlines_x) vlines_ymin = tsutils.make_list(vlines_ymin)","share x axis. sharey [optional, default to False] In case subplots=True, share y","[\"pass\", []], 2], # ylim=[float, [\"pass\", []], 2], # xaxis=[str, [\"domain\", [\"arithmetic\", \"log\"]],","[optional, default to \"auto\", only used if type equal to \"bar\", \"barh\", \"bar_stacked\",","minimum y values to start the vertical line. If a list must be","\"fast\", # \"fivethirtyeight\", # \"ggplot\", # \"grayscale\", # \"seaborn\", # \"seaborn-bright\", # \"seaborn-colorblind\",","len(nstyle), len(tsd.columns) ) ) ) colors = [] markerstyles = [] linestyles =","to display the legend. legend_names : str [optional, defaults to None] Legend would","x value for the entire plot. vlines_colors: [optional, defaults to None] List of","the current style. 2. Single character code from the table below. +------+---------+ |","itertools.cycle(bar_hatchstyles) if ( logx is True or logy is True or norm_xaxis is","1], # secondary_y=[bool, [\"domain\", [True, False]], 1], # mark_right=[bool, [\"domain\", [True, False]], 1],","xy_match_line=[str, [\"pass\", []], 1], # grid=[bool, [\"domain\", [True, False]], 1], # label_rotation=[float, [\"pass\",","# \"ieee\", # \"scatter\", # \"notebook\", # \"high-vis\", # \"bright\", # \"vibrant\", #","default to ' '] The default ' ' will not plot a marker.","markerstyles = tsutils.make_list(markerstyles) if markerstyles is None: markerstyles = \" \" if style","sharex=sharex, sharey=sharey, colors=colors, linestyles=linestyles, markerstyles=markerstyles, bar_hatchstyles=bar_hatchstyles, style=style, logx=logx, logy=logy, xaxis=xaxis, yaxis=yaxis, xlim=xlim, ylim=ylim,","and 1 that represents the level of gray, where 0 is white an","plot. Extension defines the type, for example 'filename.png' will create a PNG file.","then will be used as the color for all vertical lines. If a","\"seaborn-notebook\", # \"seaborn-paper\", # \"seaborn-pastel\", # \"seaborn-poster\", # \"seaborn-talk\", # \"seaborn-ticks\", # \"seaborn-white\",","if os.path.exists(os.path.join(style_loc, i + \".mplstyle\")) else i for i in plot_styles ] plt.style.use(plot_styles)","subplots=[bool, [\"domain\", [True, False]], 1], # sharex=[bool, [\"domain\", [True, False]], 1], # sharey=[bool,","# None, # ], # vlines_x=[float, [\"pass\", []], None], # vlines_ymin=[float, [\"pass\", []],","in the current plot style. vlines_linestyles: [optional, defaults to None] List of linestyles","\"Solarize_Light2\", # \"bmh\", # \"dark_background\", # \"fast\", # \"fivethirtyeight\", # \"ggplot\", # \"grayscale\",","[\"pass\", []], None], # hlines_colors=[str, [\"pass\", []], None], # hlines_linestyles=[ # str, #","[]], None], # hlines_linestyles=[ # str, # [\"domain\", [\"auto\", None, \"\", \" \",","if type in [ \"time\", \"xy\", \"bar\", \"bar_stacked\", \"histogram\", \"norm_xaxis\", \"lognorm_xaxis\", \"weibull_xaxis\", \"norm_yaxis\",","start_date=None, end_date=None, clean=False, skiprows=None, index_type=\"datetime\", names=None, ofilename=\"plot.png\", xtitle=\"\", ytitle=\"\", title=\"\", figsize=\"10,6.0\", legend=None, legend_names=None,","1 if pltfreq == \"none\": short_freq = \"\" else: # short freq string","# vlines_ymax=[float, [\"pass\", []], None], # vlines_colors=[str, [\"pass\", []], None], # vlines_linestyles=[ #","\"barh\", \"bar_stacked\", and \"barh_stacked\"] If 'auto' will iterate through the available matplotlib hatch","= plt.subplots(figsize=figsize) if type in [\"kde\", \"probability_density\"]: ax = tsd.plot.kde( legend=legend, subplots=subplots, sharex=sharex,","| +---------+--------------+ | None | draw nothing | +---------+--------------+ | ' ' |","the legend. legend_names : str [optional, defaults to None] Legend would normally use","[optional] Rotation for major labels for bar plots. label_skip : int [optional] Skip","take for the standard linestyles list. \"\"\" plt = kde( input_ts=input_ts, columns=columns, start_date=start_date,","if type in [\"norm_xaxis\", \"lognorm_xaxis\", \"weibull_xaxis\"]: vlines_x = ppf(tsutils.make_list(vlines_x)) plt.vlines( vlines_x, vlines_ymin, vlines_ymax,","# [\"domain\", [\"auto\", None, \"\", \" \", \" \"] + plotutils.LINE_LIST], # None,","length as `hlines_y`. If None will take for the standard linestyles list. vlines_x:","\" \"] + plotutils.LINE_LIST], # None, # ], # vlines_x=[float, [\"pass\", []], None],","linestyle for all vertical lines. If a list must be same length as","pandas as pd from mando.rst_text_formatter import RSTHelpFormatter from tstoolbox import tsutils from ..","default to 1] The lag used if ``type`` \"lag_plot\" is chosen. xtitle :","\"log\": logx = True if yaxis == \"log\": logy = True xlim =","== \"log\": logy = True xlim = plotutils.know_your_limits(xlim, axis=xaxis) ylim = plotutils.know_your_limits(ylim, axis=yaxis)","| / | diagonal hatching | +-----------------+-------------------+ | ``\\`` | back diagonal |","defaults to None] List of minimum y values to start the vertical line.","markerstyles = plotutils.MARKER_LIST else: markerstyles = tsutils.make_list(markerstyles) if markerstyles is None: markerstyles =","import RSTHelpFormatter from tstoolbox import tsutils from .. import plotutils warnings.filterwarnings(\"ignore\") @mando.command(\"kde\", formatter_class=RSTHelpFormatter,","a list must be same length as `vlines_x`. If None will take from","else: icolors = None imarkerstyles = itertools.cycle(markerstyles) ilinestyles = itertools.cycle(linestyles) # Only for","start_date=start_date, end_date=end_date, pick=columns, round_index=round_index, dropna=\"all\", source_units=source_units, target_units=target_units, clean=clean, por=por, ) tsd, lnames =","if vlines_x is not None: if type in [\"norm_xaxis\", \"lognorm_xaxis\", \"weibull_xaxis\"]: vlines_x =","None will start at the minimum x value for the entire plot. hlines_xmax:",": str [optional, defaults to '10,6.5'] The 'width,height' of plot in inches. legend","/ | diagonal hatching | +-----------------+-------------------+ | ``\\`` | back diagonal | +-----------------+-------------------+","How to sort the values for the probability plots. Only used for norm_xaxis,","\"seaborn-white\", \"seaborn-whitegrid\", \"tableau-colorblind10\", and SciencePlots styles \"science\", \"grid\", \"ieee\", \"scatter\", \"notebook\", \"high-vis\", \"bright\",","x values to end each vertical line. If a list must be same","[True, False]], 1], # colors=[str, [\"pass\", []], None], # linestyles=[str, [\"domain\", [\"auto\", None,","\"probability_density\"]: ax = tsd.plot.kde( legend=legend, subplots=subplots, sharex=sharex, sharey=sharey, style=None, logx=logx, logy=logy, xlim=xlim, ylim=ylim,","o | circle | +-------+----------------+ | v | triangle down | +-------+----------------+ |","\"dark_background\", # \"fast\", # \"fivethirtyeight\", # \"ggplot\", # \"grayscale\", # \"seaborn\", # \"seaborn-bright\",","| nothing | +-------+----------------+ | '' | nothing | +-------+----------------+ Marker reference: http://matplotlib.org/api/markers_api.html","| +---------+--------------+ Line reference: http://matplotlib.org/api/artist_api.html markerstyles [optional, default to ' '] The default","For --logx use --xaxis=\"log\" * For --logy use --yaxis=\"log\" * For --norm_xaxis use","\"time\", \"xy\", \"bar\", \"bar_stacked\", \"histogram\", \"norm_xaxis\", \"lognorm_xaxis\", \"weibull_xaxis\", \"norm_yaxis\", \"lognorm_yaxis\", \"weibull_yaxis\", ]: if","is 'weibull'] {plotting_position_table} Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis.","style=None, logx=logx, logy=logy, xlim=xlim, ylim=ylim, secondary_y=secondary_y, figsize=figsize, ) for index, line in enumerate(ax.lines):","legend=None, legend_names=None, subplots=False, sharex=True, sharey=False, colors=\"auto\", linestyles=\"auto\", markerstyles=\" \", bar_hatchstyles=\"auto\", style=\"auto\", logx=False, logy=False,","of using the 'style' keyword. +---------+--------------+ | Code | Lines | +=========+==============+ |","value for all horizontal lines. A missing value or None will end at","\"\", \" \", \" \"] + plotutils.MARKER_LIST], None], # bar_hatchstyles=[str, [\"domain\", [\"auto\", None,","length as `hlines_y`. If a single number will be used as the minimum","[]], None], # vlines_linestyles=[ # str, # [\"domain\", [\"auto\", None, \"\", \" \",","xy_match_line=\"\", grid=False, label_rotation=None, label_skip=1, force_freq=None, drawstyle=\"default\", por=False, invert_xaxis=False, invert_yaxis=False, round_index=None, plotting_position=\"weibull\", prob_plot_sort_values=\"descending\", source_units=None,","plot style. vlines_linestyles: [optional, defaults to None] List of linestyles for the vertical","i in markerstyles] if colors is not None: icolors = itertools.cycle(colors) else: icolors","subplots [optional, defaults to False] Make separate subplots for each time series. sharex","nd gray. Matplotlib styles: https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_reference.html SciencePlots styles: https://github.com/garrettj403/SciencePlots hlines_y: [optional, defaults to None]","| pentagon | +-------+----------------+ | ``*`` | star | +-------+----------------+ | h |","\" \"] + plotutils.HATCH_LIST], None], # style=[str, [\"pass\", []], None], # xlim=[float, [\"pass\",","of 'arithmetic', 'log'. yaxis : str [optional, default is 'arithmetic'] Defines the type","str [optional, default is 'descending'] How to sort the values for the probability","plotutils.LINE_LIST], None], # markerstyles=[str, [\"domain\", [\"auto\", None, \"\", \" \", \" \"] +","= [] for st in nstyle: colors.append(st[0]) if len(st) == 1: markerstyles.append(\" \")","or norm_xaxis is True or norm_yaxis is True or lognorm_xaxis is True or","combine codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed line","imarkerstyles is not None: m = next(imarkerstyles) else: m = None if ilinestyles","2 | tri_up | +-------+----------------+ | 3 | tri_left | +-------+----------------+ | 4","the color for all vertical lines. If a list must be same length",") tsd, lnames = plotutils.check(type, tsd, legend_names) # This is to help pretty","+------+---------+ | Code | Color | +======+=========+ | b | blue | +------+---------+","{names} {source_units} {target_units} {round_index} plot_styles: str [optional, default is \"default\"] Set the style","invert_xaxis=invert_xaxis, invert_yaxis=invert_yaxis, round_index=round_index, plotting_position=plotting_position, prob_plot_sort_values=prob_plot_sort_values, source_units=source_units, target_units=target_units, lag_plot_lag=lag_plot_lag, plot_styles=plot_styles, hlines_y=hlines_y, hlines_xmin=hlines_xmin, hlines_xmax=hlines_xmax, hlines_colors=hlines_colors,","[\"pass\", []], 1], # grid=[bool, [\"domain\", [True, False]], 1], # label_rotation=[float, [\"pass\", []],","# \"seaborn-white\", # \"seaborn-whitegrid\", # \"tableau-colorblind10\", # \"science\", # \"grid\", # \"ieee\", #","= itertools.cycle(markerstyles) ilinestyles = itertools.cycle(linestyles) # Only for bar, barh, bar_stacked, and barh_stacked.","and Gray Styles The \"ieee\" style is appropriate for black, white, and gray,","will start at the minimum x value for the entire plot. vlines_ymax: [optional,","False]], 1], # invert_yaxis=[bool, [\"domain\", [True, False]], 1], # plotting_position=[ # str, #","is None: linestyles = [\" \"] else: linestyles = [\" \" if i","''] Will add a match line where x == y. Set to a","red dashed line with star marker. bar_hatchstyles [optional, default to \"auto\", only used","1], # por=[bool, [\"domain\", [True, False]], 1], # invert_xaxis=[bool, [\"domain\", [True, False]], 1],","# 1, # ], # prob_plot_sort_values=[str, [\"domain\", [\"ascending\", \"descending\"]], 1], # plot_styles=[ #","xtitle : str [optional, default depends on ``type``] Title of x-axis. ytitle :","horizontal line. If a list must be same length as `hlines_y`. If a","\"ieee\" style is appropriate for black, white, and gray, however the \"ieee\" also","change the chart size to fit in a column of the \"IEEE\" journal.","\"\"\" ) if xaxis == \"log\": logx = True if yaxis == \"log\":","the level of gray, where 0 is white an 1 is black. 4.","Set the style of the plot. One or more of Matplotlib styles \"classic\",","linestyles = [] for st in nstyle: colors.append(st[0]) if len(st) == 1: markerstyles.append(\"","str [optional, defaults to 'plot.png'] Output filename for the plot. Extension defines the","matplotlib matplotlib.use(\"Agg\") import matplotlib.pyplot as plt from matplotlib.ticker import FixedLocator tsd = tsutils.common_kwds(","[ # \"domain\", # [ # \"classic\", # \"Solarize_Light2\", # \"bmh\", # \"dark_background\",","Code | Lines | +=========+==============+ | ``-`` | solid | +---------+--------------+ | --","| +-------+----------------+ | h | hexagon1 | +-------+----------------+ | H | hexagon2 |","\"log\"]], 1], # secondary_y=[bool, [\"domain\", [True, False]], 1], # mark_right=[bool, [\"domain\", [True, False]],","One of 'arithmetic', 'log'. yaxis : str [optional, default is 'arithmetic'] Defines the","`xlim` for examples. xaxis : str [optional, default is 'arithmetic'] Defines the type","\"seaborn-muted\", # \"seaborn-notebook\", # \"seaborn-paper\", # \"seaborn-pastel\", # \"seaborn-poster\", # \"seaborn-talk\", # \"seaborn-ticks\",","List of colors for the vertical lines. If a single color then will","maintained for backward-compatibility. ACCEPTS:: ['default' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post']","as the minimum x values for all vertical lines. A missing value or","[\"no-latex\"] style_loc = os.path.join( os.path.dirname(__file__), os.pardir, \"SciencePlots_styles\" ) plot_styles = [ os.path.join(style_loc, i","time-series to plot. You supplied '{}' for style which has {} style strings,","= kde( input_ts=input_ts, columns=columns, start_date=start_date, end_date=end_date, clean=clean, skiprows=skiprows, index_type=index_type, names=names, ofilename=ofilename, xtitle=xtitle, ytitle=ytitle,","plt.subplots(figsize=figsize) if type in [\"kde\", \"probability_density\"]: ax = tsd.plot.kde( legend=legend, subplots=subplots, sharex=sharex, sharey=sharey,","in the data set. subplots [optional, defaults to False] Make separate subplots for","'auto' will iterate through the available matplotlib hatch types. Otherwise on the command","+-------+----------------+ | < | triangle left | +-------+----------------+ | > | triangle right","lines. If a list must be same length as `hlines_y`. If None will","of time series.\"\"\" from __future__ import absolute_import, division, print_function import itertools import os","\"seaborn-paper\", \"seaborn-pastel\", \"seaborn-poster\", \"seaborn-talk\", \"seaborn-ticks\", \"seaborn-white\", \"seaborn-whitegrid\", \"tableau-colorblind10\", and SciencePlots styles \"science\", \"grid\",","axis=xaxis) ylim = plotutils.know_your_limits(ylim, axis=yaxis) plot_styles = tsutils.make_list(plot_styles) + [\"no-latex\"] style_loc = os.path.join(","= [ os.path.join(style_loc, i + \".mplstyle\") if os.path.exists(os.path.join(style_loc, i + \".mplstyle\")) else i","to 'auto'] If 'auto' will iterate through the available matplotlib line types. Otherwise","= tsutils.make_list(plot_styles) + [\"no-latex\"] style_loc = os.path.join( os.path.dirname(__file__), os.pardir, \"SciencePlots_styles\" ) plot_styles =","tsutils.make_list(colors) if linestyles == \"auto\": linestyles = plotutils.LINE_LIST else: linestyles = tsutils.make_list(linestyles) if","lines use a space (' ') as the linestyle code. Separated 'colors', 'linestyles',","crossed diagonal | +-----------------+-------------------+ | o | small circle | +-----------------+-------------------+ | O","and upper limits for the x-axis of the plot. For example, '--xlim 1,1000'","label_skip=[int, [\"range\", [1, None]], 1], # drawstyle=[str, [\"pass\", []], 1], # por=[bool, [\"domain\",","next(imarkerstyles) else: m = None if ilinestyles is not None: l = next(ilinestyles)","Just combine codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed","+-------+----------------+ | ``*`` | star | +-------+----------------+ | h | hexagon1 | +-------+----------------+","| vertical | +-----------------+-------------------+ | - | horizontal | +-----------------+-------------------+ | + |","the minimum x value for the entire plot. hlines_xmax: [optional, defaults to None]","nothing | +-------+----------------+ Marker reference: http://matplotlib.org/api/markers_api.html style [optional, default is None] Still available,","True: plt.gca().invert_yaxis() plt.grid(grid) plt.title(title) plt.tight_layout() if ofilename is not None: plt.savefig(ofilename) return plt","1,], # lag_plot_lag=[int, [\"range\", [1, None]], 1], # xtitle=[str, [\"pass\", []], 1], #","# str, # [\"domain\", [\"auto\", None, \"\", \" \", \" \"] + plotutils.LINE_LIST],","all horizontal lines. If a list must be same length as `hlines_y`. If","Whether to plot on the secondary y-axis. If a list/tuple, which time-series to","gets the Nth color from the current style. 2. Single character code from","+-------+----------------+ | s | square | +-------+----------------+ | p | pentagon | +-------+----------------+","the minimum x values for all horizontal lines. A missing value or None","None, \"\", \" \", \" \"] + plotutils.LINE_LIST], None], # markerstyles=[str, [\"domain\", [\"auto\",","None], # vlines_ymin=[float, [\"pass\", []], None], # vlines_ymax=[float, [\"pass\", []], None], # vlines_colors=[str,","where to place a horizontal line. hlines_xmin: [optional, defaults to None] List of","[\"domain\", [\"auto\", None, \"\", \" \", \" \"] + plotutils.LINE_LIST], # None, #","will take for the standard linestyles list. vlines_x: [optional, defaults to None] List","of 'arithmetic', 'log'. secondary_y [optional, default is False] Whether to plot on the","figure that can then be changed or added to as needed. lag_plot_lag [optional,",": str [optional, default is 'descending'] How to sort the values for the","must be same length as `hlines_y`. If a single number will be the","secondary_y=secondary_y, mark_right=mark_right, scatter_matrix_diagonal=scatter_matrix_diagonal, bootstrap_size=bootstrap_size, bootstrap_samples=bootstrap_samples, norm_xaxis=norm_xaxis, norm_yaxis=norm_yaxis, lognorm_xaxis=lognorm_xaxis, lognorm_yaxis=lognorm_yaxis, xy_match_line=xy_match_line, grid=grid, label_rotation=label_rotation, label_skip=label_skip,","\"notebook\", # \"high-vis\", # \"bright\", # \"vibrant\", # \"muted\", # \"retro\", # ],","distinguished by someone with color blindness. Black, White, and Gray Styles The \"ieee\"","None will end at the maximum x value for the entire plot. hlines_colors:","default to True] In case subplots=True, share x axis. sharey [optional, default to","axis of the various time-series automatically. scatter_matrix_diagonal : str [optional, defaults to 'kde']","@mando.command(\"kde\", formatter_class=RSTHelpFormatter, doctype=\"numpy\") @tsutils.doc(plotutils.ldocstrings) def kde_cli( input_ts=\"-\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\"datetime\",","would base the lower limit on the data and set the upper limit","norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. prob_plot_sort_values : str [optional, default is 'descending']","+-----------------+-------------------+ | O | large circle | +-----------------+-------------------+ | . | dots |","lognorm_yaxis DEPRECATED: use '--type=\"lognorm_yaxis\"' instead. xy_match_line : str [optional, defaults is ''] Will","of strings if using the Python API. Separated 'colors', 'linestyles', and 'markerstyles' instead","\" \"] + plotutils.LINE_LIST], None], # markerstyles=[str, [\"domain\", [\"auto\", None, \"\", \" \",","'plot.png'] Output filename for the plot. Extension defines the type, for example 'filename.png'","vlines_ymin = nylim[0] if vlines_ymax is None: vlines_ymax = nylim[1] if type in","y-axis. If a list/tuple, which time-series to plot on secondary y-axis. mark_right [optional,","values for all vertical lines. A missing value or None will start at","override the others. Comma separated matplotlib style strings per time-series. Just combine codes","| Code | Lines | +=========+==============+ | ``-`` | solid | +---------+--------------+ |","If 'auto' will iterate through the available matplotlib hatch types. Otherwise on the","ylim=None, secondary_y=False, mark_right=True, scatter_matrix_diagonal=\"kde\", bootstrap_size=50, bootstrap_samples=500, norm_xaxis=False, norm_yaxis=False, lognorm_xaxis=False, lognorm_yaxis=False, xy_match_line=\"\", grid=False, label_rotation=None,","defaults is ''] Will add a match line where x == y. Set","where to place a vertical line. vlines_ymin: [optional, defaults to None] List of","{round_index} plot_styles: str [optional, default is \"default\"] Set the style of the plot.","names=names, index_type=index_type, start_date=start_date, end_date=end_date, pick=columns, round_index=round_index, dropna=\"all\", source_units=source_units, target_units=target_units, clean=clean, por=por, ) tsd,","\"fivethirtyeight\", # \"ggplot\", # \"grayscale\", # \"seaborn\", # \"seaborn-bright\", # \"seaborn-colorblind\", # \"seaborn-dark\",","None: m = next(imarkerstyles) else: m = None if ilinestyles is not None:","default depends on ``type``] Title of x-axis. ytitle : str [optional, default depends","\"grayscale\", \"seaborn\", \"seaborn-bright\", \"seaborn-colorblind\", \"seaborn-dark\", \"seaborn-dark-palette\", \"seaborn-darkgrid\", \"seaborn-deep\", \"seaborn-muted\", \"seaborn-notebook\", \"seaborn-paper\", \"seaborn-pastel\", \"seaborn-poster\",","linestyles for the horizontal lines. If a single linestyle then will be used","plot_styles: str [optional, default is \"default\"] Set the style of the plot. One","style=style, logx=logx, logy=logy, xaxis=xaxis, yaxis=yaxis, xlim=xlim, ylim=ylim, secondary_y=secondary_y, mark_right=mark_right, scatter_matrix_diagonal=scatter_matrix_diagonal, bootstrap_size=bootstrap_size, bootstrap_samples=bootstrap_samples, norm_xaxis=norm_xaxis,","will not plot a marker. If 'auto' will iterate through the available matplotlib","for the vertical lines. If a single color then will be used as","+---------+--------------+ | ' ' | draw nothing | +---------+--------------+ | '' | draw","list must be same length as `hlines_y`. If a single number will be","A missing value or None will start at the minimum x value for","None: plt.setp(line, color=c) plt.setp(line, marker=m) plt.setp(line, linestyle=l) ytitle = ytitle or \"Density\" if","\"histogram\", \"norm_xaxis\", \"lognorm_xaxis\", \"weibull_xaxis\", \"norm_yaxis\", \"lognorm_yaxis\", \"weibull_yaxis\", ]: if hlines_y is not None:","each over rides some or all of the characteristics of the previous. Color","if i in [\" \", None] else i for i in linestyles] markerstyles","codes, or within Python a list of color code strings. Can identify colors","For --norm_yaxis use --type=\"norm_yaxis\" * For --lognorm_xaxis use --type=\"lognorm_xaxis\" * For --lognorm_yaxis use","ytitle=[str, [\"pass\", []], 1], # title=[str, [\"pass\", []], 1], # figsize=[float, [\"range\", [0,","i + \".mplstyle\") if os.path.exists(os.path.join(style_loc, i + \".mplstyle\")) else i for i in","None], # hlines_linestyles=[ # str, # [\"domain\", [\"auto\", None, \"\", \" \", \"","functions for the manipulation of time series.\"\"\" from __future__ import absolute_import, division, print_function","\"seaborn-ticks\", \"seaborn-white\", \"seaborn-whitegrid\", \"tableau-colorblind10\", and SciencePlots styles \"science\", \"grid\", \"ieee\", \"scatter\", \"notebook\", \"high-vis\",","prob_plot_sort_values=\"descending\", source_units=None, target_units=None, lag_plot_lag=1, plot_styles=\"bright\", hlines_y=None, hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\"-\", vlines_x=None, vlines_ymin=None, vlines_ymax=None,","for a histogram. bootstrap_size : int [optional, defaults to 50] The size of","plot_styles=\"bright\", hlines_y=None, hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\"-\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\"-\", ): r\"\"\"Kernel","not display lines use a space (' ') as the linestyle code. Separated","for major labels for bar plots. label_skip : int [optional] Skip for major","http://matplotlib.org/api/colors_api.html linestyles [optional, default to 'auto'] If 'auto' will iterate through the available","def kde( input_ts=\"-\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\"datetime\", names=None, ofilename=\"plot.png\", xtitle=\"\", ytitle=\"\",","1 to 1000, where '--xlim ,1000' would base the lower limit on the","[]], None], # hlines_colors=[str, [\"pass\", []], None], # hlines_linestyles=[ # str, # [\"domain\",",") # @tsutils.validator( # ofilename=[str, [\"pass\", []], 1], # type=[str, [\"domain\", [\"kde\",],], 1,],","True: plt.legend(loc=\"best\") if hlines_y is not None: hlines_y = tsutils.make_list(hlines_y) hlines_xmin = tsutils.make_list(hlines_xmin)","# grid=[bool, [\"domain\", [True, False]], 1], # label_rotation=[float, [\"pass\", []], 1], # label_skip=[int,","index, line in enumerate(ax.lines): if icolors is not None: c = next(icolors) else:","1], # label_skip=[int, [\"range\", [1, None]], 1], # drawstyle=[str, [\"pass\", []], 1], #","\"seaborn\", \"seaborn-bright\", \"seaborn-colorblind\", \"seaborn-dark\", \"seaborn-dark-palette\", \"seaborn-darkgrid\", \"seaborn-deep\", \"seaborn-muted\", \"seaborn-notebook\", \"seaborn-paper\", \"seaborn-pastel\", \"seaborn-poster\", \"seaborn-talk\",","{source_units} {target_units} {round_index} plot_styles: str [optional, default is \"default\"] Set the style of","# \"ggplot\", # \"grayscale\", # \"seaborn\", # \"seaborn-bright\", # \"seaborn-colorblind\", # \"seaborn-dark\", #","+ plotutils.LINE_LIST], # None, # ], # vlines_x=[float, [\"pass\", []], None], # vlines_ymin=[float,","is a red dashed line with star marker. bar_hatchstyles [optional, default to \"auto\",","x == y. Set to a line style code. grid [optional, default is","hlines_linestyles: [optional, defaults to None] List of linestyles for the horizontal lines. If","a secondary_y axis, should the legend label the axis of the various time-series","or legend is None) type = \"kde\" import matplotlib matplotlib.use(\"Agg\") import matplotlib.pyplot as","lines. The steps variants produce step-plots. 'steps' is equivalent to 'steps-pre' and is","x-axis of the plot. For example, '--xlim 1,1000' would limit the plot from","[] for st in nstyle: colors.append(st[0]) if len(st) == 1: markerstyles.append(\" \") linestyles.append(\"-\")","step-plots. 'steps' is equivalent to 'steps-pre' and is maintained for backward-compatibility. ACCEPTS:: ['default'","time series. sharex [optional, default to True] In case subplots=True, share x axis.","except TypeError: pltfreq = str(tsd.index.freq).lower() if pltfreq.split(\" \")[0][1:] == \"1\": beginstr = 3","the color for all horizontal lines. If a list must be same length","marker. If 'auto' will iterate through the available matplotlib marker types. Otherwise on","ylim=[float, [\"pass\", []], 2], # xaxis=[str, [\"domain\", [\"arithmetic\", \"log\"]], 1], # yaxis=[str, [\"domain\",","barh_stacked. ibar_hatchstyles = itertools.cycle(bar_hatchstyles) if ( logx is True or logy is True","DEPRECATED: use '--type=\"norm_yaxis\"' instead. lognorm_xaxis DEPRECATED: use '--type=\"lognorm_xaxis\"' instead. lognorm_yaxis DEPRECATED: use '--type=\"lognorm_yaxis\"'","Title of chart. figsize : str [optional, defaults to '10,6.5'] The 'width,height' of","as pd from mando.rst_text_formatter import RSTHelpFormatter from tstoolbox import tsutils from .. import","# ytitle=[str, [\"pass\", []], 1], # title=[str, [\"pass\", []], 1], # figsize=[float, [\"range\",","pltfreq == \"none\": short_freq = \"\" else: # short freq string (day) OR","or 'hist' for a histogram. bootstrap_size : int [optional, defaults to 50] The","_, ax = plt.subplots(figsize=figsize) if type in [\"kde\", \"probability_density\"]: ax = tsd.plot.kde( legend=legend,","default is based on range of x values] Comma separated lower and upper","else: linestyles = tsutils.make_list(linestyles) if bar_hatchstyles == \"auto\": bar_hatchstyles = plotutils.HATCH_LIST else: bar_hatchstyles","DEPRECATED: use '--yaxis=\"log\"' instead. xlim [optional, default is based on range of x","except AttributeError: short_freq = \"\" if colors == \"auto\": colors = None else:","\"dark_background\", \"fast\", \"fivethirtyeight\", \"ggplot\", \"grayscale\", \"seaborn\", \"seaborn-bright\", \"seaborn-colorblind\", \"seaborn-dark\", \"seaborn-dark-palette\", \"seaborn-darkgrid\", \"seaborn-deep\", \"seaborn-muted\",","legend is True: plt.legend(loc=\"best\") if hlines_y is not None: hlines_y = tsutils.make_list(hlines_y) hlines_xmin","the time-series names associated with the input data. The 'legend_names' option allows you","defaults to None] List of colors for the vertical lines. If a single","| ``+`` | plus | +-------+----------------+ | x | x | +-------+----------------+ |","index_type=index_type, names=names, ofilename=ofilename, xtitle=xtitle, ytitle=ytitle, title=title, figsize=figsize, legend=legend, legend_names=legend_names, subplots=subplots, sharex=sharex, sharey=sharey, colors=colors,","Marker reference: http://matplotlib.org/api/markers_api.html style [optional, default is None] Still available, but if None","major ticks. label_rotation : int [optional] Rotation for major labels for bar plots.","norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. prob_plot_sort_values : str [optional, default is","[\"pass\", []], 1], # type=[str, [\"domain\", [\"kde\",],], 1,], # lag_plot_lag=[int, [\"range\", [1, None]],","m = next(imarkerstyles) else: m = None if ilinestyles is not None: l","None: linestyles = [\" \"] else: linestyles = [\" \" if i in","ppf(tsutils.make_list(vlines_x)) plt.vlines( vlines_x, vlines_ymin, vlines_ymax, colors=vlines_colors, linestyles=vlines_linestyles, ) plt.xlabel(xtitle) plt.ylabel(ytitle) if invert_xaxis is","\" \", \" \"] + plotutils.MARKER_LIST], None], # bar_hatchstyles=[str, [\"domain\", [\"auto\", None, \"\",","the current plot style. hlines_linestyles: [optional, defaults to None] List of linestyles for","example 'r*--' is a red dashed line with star marker. bar_hatchstyles [optional, default","of 'kde' for Kernel Density Estimation or 'hist' for a histogram. bootstrap_size :","--type=\"norm_xaxis\" * For --norm_yaxis use --type=\"norm_yaxis\" * For --lognorm_xaxis use --type=\"lognorm_xaxis\" * For","x value for all horizontal lines. A missing value or None will end","for the y-axis of the plot. See `xlim` for examples. xaxis : str","to last good value. Strips NANs from beginning and end. {force_freq} invert_xaxis [optional,","label_skip=label_skip, force_freq=force_freq, drawstyle=drawstyle, por=por, invert_xaxis=invert_xaxis, invert_yaxis=invert_yaxis, round_index=round_index, plotting_position=plotting_position, prob_plot_sort_values=prob_plot_sort_values, source_units=source_units, target_units=target_units, lag_plot_lag=lag_plot_lag, plot_styles=plot_styles,","to plot on the secondary y-axis. If a list/tuple, which time-series to plot","will create a PNG file. If used within Python, and `ofilename` is None","\"] + plotutils.HATCH_LIST], None], # style=[str, [\"pass\", []], None], # xlim=[float, [\"pass\", []],","grid=grid, label_rotation=label_rotation, label_skip=label_skip, force_freq=force_freq, drawstyle=drawstyle, por=por, invert_xaxis=invert_xaxis, invert_yaxis=invert_yaxis, round_index=round_index, plotting_position=plotting_position, prob_plot_sort_values=prob_plot_sort_values, source_units=source_units, target_units=target_units,","to None] List of maximum x values to end each horizontal line. If","sharex [optional, default to True] In case subplots=True, share x axis. sharey [optional,","the lower limit on the data and set the upper limit to 1000.","lag_plot_lag=[int, [\"range\", [1, None]], 1], # xtitle=[str, [\"pass\", []], 1], # ytitle=[str, [\"pass\",","will be used as the color for all horizontal lines. If a list","be same length as `hlines_y`. If a single number will be used as","if style != \"auto\": nstyle = tsutils.make_list(style) if len(nstyle) != len(tsd.columns): raise ValueError(","in markerstyles] if colors is not None: icolors = itertools.cycle(colors) else: icolors =","'log'. yaxis : str [optional, default is 'arithmetic'] Defines the type of the","# \"high-vis\", # \"bright\", # \"vibrant\", # \"muted\", # \"retro\", # ], #","# str, # [ # \"domain\", # [\"weibull\", \"benard\", \"tukey\", \"gumbel\", \"hazen\", \"cunnane\",","\"bar\", \"barh\", \"bar_stacked\", and \"barh_stacked\"] If 'auto' will iterate through the available matplotlib","The 'legend_names' option allows you to override the names in the data set.","'descending'] How to sort the values for the probability plots. Only used for","to None] List of minimum x values to start the horizontal line. If","norm_xaxis is True or norm_yaxis is True or lognorm_xaxis is True or lognorm_yaxis","xlim [optional, default is based on range of x values] Comma separated lower","plot on the secondary y-axis. If a list/tuple, which time-series to plot on","--lognorm_xaxis, and * --lognorm_yaxis options are deprecated. * * For --logx use --xaxis=\"log\"","+-------+----------------+ | d | thin diamond | +-------+----------------+ | _ | hlines_y |","For example, '--xlim 1,1000' would limit the plot from 1 to 1000, where","# title=[str, [\"pass\", []], 1], # figsize=[float, [\"range\", [0, None]], 2], # legend=[bool,","| p | pentagon | +-------+----------------+ | ``*`` | star | +-------+----------------+ |","'--yaxis=\"log\"' instead. xlim [optional, default is based on range of x values] Comma","hlines_linestyles=[ # str, # [\"domain\", [\"auto\", None, \"\", \" \", \" \"] +","circle | +-------+----------------+ | v | triangle down | +-------+----------------+ | ^ |","Extension defines the type, for example 'filename.png' will create a PNG file. If","If None will take for the standard linestyles list. \"\"\" plt = kde(","\"grid\", # \"ieee\", # \"scatter\", # \"notebook\", # \"high-vis\", # \"bright\", # \"vibrant\",","drawstyle=[str, [\"pass\", []], 1], # por=[bool, [\"domain\", [True, False]], 1], # invert_xaxis=[bool, [\"domain\",","\"seaborn-poster\", # \"seaborn-talk\", # \"seaborn-ticks\", # \"seaborn-white\", # \"seaborn-whitegrid\", # \"tableau-colorblind10\", # \"science\",","# ofilename=[str, [\"pass\", []], 1], # type=[str, [\"domain\", [\"kde\",],], 1,], # lag_plot_lag=[int, [\"range\",","each time series. sharex [optional, default to True] In case subplots=True, share x","to fit in a column of the \"IEEE\" journal. The \"grayscale\" is another","must be same length as `hlines_y`. If None will take from the color","for i in plot_styles ] plt.style.use(plot_styles) figsize = tsutils.make_list(figsize, n=2) _, ax =","``\\`` | back diagonal | +-----------------+-------------------+ | ``|`` | vertical | +-----------------+-------------------+ |","# short freq string (day) OR (2 day) short_freq = \"({})\".format(pltfreq[beginstr:-1]) except AttributeError:","['default' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post'] por [optional] Plot from","title=title, figsize=figsize, legend=legend, legend_names=legend_names, subplots=subplots, sharex=sharex, sharey=sharey, colors=colors, linestyles=linestyles, markerstyles=markerstyles, bar_hatchstyles=bar_hatchstyles, style=style, logx=logx,","drawstyle=drawstyle, por=por, invert_xaxis=invert_xaxis, invert_yaxis=invert_yaxis, round_index=round_index, plotting_position=plotting_position, prob_plot_sort_values=prob_plot_sort_values, source_units=source_units, target_units=target_units, lag_plot_lag=lag_plot_lag, plot_styles=plot_styles, hlines_y=hlines_y, hlines_xmin=hlines_xmin,","is None: hlines_xmax = nxlim[1] if vlines_x is not None: vlines_x = tsutils.make_list(vlines_x)","set. subplots [optional, defaults to False] Make separate subplots for each time series.","| large circle | +-----------------+-------------------+ | . | dots | +-----------------+-------------------+ | *","should the legend label the axis of the various time-series automatically. scatter_matrix_diagonal :","for the entire plot. hlines_colors: [optional, defaults to None] List of colors for","list, or a list of strings if using the Python API. Separated 'colors',","the entire plot. vlines_colors: [optional, defaults to None] List of colors for the","= 3 else: beginstr = 1 if pltfreq == \"none\": short_freq = \"\"","vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\"-\", ): r\"\"\"Kernel density estimation of probability density function. \"kde\"","+ | crossed | +-----------------+-------------------+ | x | crossed diagonal | +-----------------+-------------------+ |","hlines_xmax = tsutils.make_list(hlines_xmax) hlines_colors = tsutils.make_list(hlines_colors) hlines_linestyles = tsutils.make_list(hlines_linestyles) nxlim = ax.get_xlim() if","absolute_import, division, print_function import itertools import os import warnings import mando import numpy","the x-axis of the plot. For example, '--xlim 1,1000' would limit the plot","'steps-post'] por [optional] Plot from first good value to last good value. Strips","[optional, defaults to True] Whether to display the legend. legend_names : str [optional,","be used as the color for all horizontal lines. If a list must","vlines_x=vlines_x, vlines_ymin=vlines_ymin, vlines_ymax=vlines_ymax, vlines_colors=vlines_colors, vlines_linestyles=vlines_linestyles, ) # @tsutils.validator( # ofilename=[str, [\"pass\", []], 1],","markerstyles.append(\" \") linestyles.append(st[1:]) if linestyles is None: linestyles = [\" \"] else: linestyles","single number will be used as the minimum x values for all vertical","os.path.exists(os.path.join(style_loc, i + \".mplstyle\")) else i for i in plot_styles ] plt.style.use(plot_styles) figsize","If a list/tuple, which time-series to plot on secondary y-axis. mark_right [optional, default","default is False] Invert the x-axis. invert_yaxis [optional, default is False] Invert the","Number or list of y values where to place a horizontal line. hlines_xmin:","used within Python, and `ofilename` is None will return the Matplotlib figure that","yaxis=[str, [\"domain\", [\"arithmetic\", \"log\"]], 1], # secondary_y=[bool, [\"domain\", [True, False]], 1], # mark_right=[bool,","\"\" or legend == \"True\" or legend is None) type = \"kde\" import","\"kde\" will create a plot of estimation of the probability density function based",": str [optional, default is 'arithmetic'] Defines the type of the yaxis. One","vlines_x = tsutils.make_list(vlines_x) vlines_ymin = tsutils.make_list(vlines_ymin) vlines_ymax = tsutils.make_list(vlines_ymax) vlines_colors = tsutils.make_list(vlines_colors) vlines_linestyles","place a horizontal line. hlines_xmin: [optional, defaults to None] List of minimum x","List of minimum y values to start the vertical line. If a list","per time-series. Just combine codes in 'ColorMarkerLine' order, for example 'r*--' is a","[optional, default is 'weibull'] {plotting_position_table} Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis,","of y values where to place a horizontal line. hlines_xmin: [optional, defaults to","\"seaborn-dark\", \"seaborn-dark-palette\", \"seaborn-darkgrid\", \"seaborn-deep\", \"seaborn-muted\", \"seaborn-notebook\", \"seaborn-paper\", \"seaborn-pastel\", \"seaborn-poster\", \"seaborn-talk\", \"seaborn-ticks\", \"seaborn-white\", \"seaborn-whitegrid\",","| +------+---------+ | k | black | +------+---------+ 3. Number between 0 and","| burlywood | +------------------+ | chartreuse | +------------------+ | ...etc. | +------------------+ Color","bool(legend == \"\" or legend == \"True\" or legend is None) type =","is False] Whether to plot on the secondary y-axis. If a list/tuple, which","[]], 1], # label_skip=[int, [\"range\", [1, None]], 1], # drawstyle=[str, [\"pass\", []], 1],","\"lognorm_yaxis\", \"weibull_yaxis\"]: hlines_y = ppf(tsutils.make_list(hlines_y)) plt.hlines( hlines_y, hlines_xmin, hlines_xmax, colors=hlines_colors, linestyles=hlines_linestyles, ) if","y | yellow | +------+---------+ | k | black | +------+---------+ 3. Number","\" \", \" \"] + plotutils.LINE_LIST], # None, # ], # ) def","== \"True\" or legend is None) type = \"kde\" import matplotlib matplotlib.use(\"Agg\") import","styles: https://github.com/garrettj403/SciencePlots hlines_y: [optional, defaults to None] Number or list of y values","4. Any of the HTML color names. +------------------+ | HTML Color Names |","# xtitle=[str, [\"pass\", []], 1], # ytitle=[str, [\"pass\", []], 1], # title=[str, [\"pass\",","Whether to display the legend. legend_names : str [optional, defaults to None] Legend",": str [optional, default is 'default'] 'default' connects the points with lines. The","a list of color code strings. Can identify colors in four different ways.","as plt from matplotlib.ticker import FixedLocator tsd = tsutils.common_kwds( input_ts, skiprows=skiprows, names=names, index_type=index_type,","= nxlim[0] if hlines_xmax is None: hlines_xmax = nxlim[1] if vlines_x is not","| +-----------------+-------------------+ | x | crossed diagonal | +-----------------+-------------------+ | o | small","length as `vlines_x`. If None will take for the standard linestyles list. \"\"\"","| +------+---------+ | m | magenta | +------+---------+ | y | yellow |","| Code | Color | +======+=========+ | b | blue | +------+---------+ |","of the random subset for 'bootstrap' plot. bootstrap_samples [optional, defaults to 500] The","[]], 2], # xaxis=[str, [\"domain\", [\"arithmetic\", \"log\"]], 1], # yaxis=[str, [\"domain\", [\"arithmetic\", \"log\"]],","\".mplstyle\")) else i for i in plot_styles ] plt.style.use(plot_styles) figsize = tsutils.make_list(figsize, n=2)","\" \", \" \"] + plotutils.HATCH_LIST], None], # style=[str, [\"pass\", []], None], #","tsutils.make_list(bar_hatchstyles) if markerstyles == \"auto\": markerstyles = plotutils.MARKER_LIST else: markerstyles = tsutils.make_list(markerstyles) if","colors.append(st[0]) if len(st) == 1: markerstyles.append(\" \") linestyles.append(\"-\") continue if st[1] in plotutils.MARKER_LIST:","value to last good value. Strips NANs from beginning and end. {force_freq} invert_xaxis","different ways. 1. Use 'CN' where N is a number from 0 to","default is 'arithmetic'] Defines the type of the xaxis. One of 'arithmetic', 'log'.","norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. {columns} {start_date} {end_date} {clean} {skiprows} {index_type} {names}","{target_units} {round_index} plot_styles: str [optional, default is \"default\"] Set the style of the","tsutils.make_list(vlines_linestyles) nylim = ax.get_ylim() if vlines_ymin is None: vlines_ymin = nylim[0] if vlines_ymax","is not None: icolors = itertools.cycle(colors) else: icolors = None imarkerstyles = itertools.cycle(markerstyles)","if linestyles == \"auto\": linestyles = plotutils.LINE_LIST else: linestyles = tsutils.make_list(linestyles) if bar_hatchstyles","Invert the x-axis. invert_yaxis [optional, default is False] Invert the y-axis. plotting_position :","== \"\" or legend == \"True\" or legend is None) type = \"kde\"","None: l = next(ilinestyles) else: l = None if c is not None:","plot_styles=plot_styles, hlines_y=hlines_y, hlines_xmin=hlines_xmin, hlines_xmax=hlines_xmax, hlines_colors=hlines_colors, hlines_linestyles=hlines_linestyles, vlines_x=vlines_x, vlines_ymin=vlines_ymin, vlines_ymax=vlines_ymax, vlines_colors=vlines_colors, vlines_linestyles=vlines_linestyles, ) #","{input_ts} ofilename : str [optional, defaults to 'plot.png'] Output filename for the plot.","square | +-------+----------------+ | p | pentagon | +-------+----------------+ | ``*`` | star","kde( input_ts=input_ts, columns=columns, start_date=start_date, end_date=end_date, clean=clean, skiprows=skiprows, index_type=index_type, names=names, ofilename=ofilename, xtitle=xtitle, ytitle=ytitle, title=title,","\"Density\" if legend is True: plt.legend(loc=\"best\") if hlines_y is not None: hlines_y =","order, for example 'r*--' is a red dashed line with star marker. bar_hatchstyles","horizontal lines. If a single linestyle then will be used as the linestyle","of the HTML color names. +------------------+ | HTML Color Names | +==================+ |","| b | blue | +------+---------+ | g | green | +------+---------+ |","tri_up | +-------+----------------+ | 3 | tri_left | +-------+----------------+ | 4 | tri_right","strings if using the Python API. To not display lines use a space","use --yaxis=\"log\" * For --norm_xaxis use --type=\"norm_xaxis\" * For --norm_yaxis use --type=\"norm_yaxis\" *","legend is None) type = \"kde\" import matplotlib matplotlib.use(\"Agg\") import matplotlib.pyplot as plt","will be used as the linestyle for all horizontal lines. If a list","One of 'kde' for Kernel Density Estimation or 'hist' for a histogram. bootstrap_size","of linestyles for the horizontal lines. If a single linestyle then will be","{index_type} {names} {source_units} {target_units} {round_index} plot_styles: str [optional, default is \"default\"] Set the","fit in a column of the \"IEEE\" journal. The \"grayscale\" is another style","[\"domain\", [\"ascending\", \"descending\"]], 1], # plot_styles=[ # str, # [ # \"domain\", #","\"bmh\", \"dark_background\", \"fast\", \"fivethirtyeight\", \"ggplot\", \"grayscale\", \"seaborn\", \"seaborn-bright\", \"seaborn-colorblind\", \"seaborn-dark\", \"seaborn-dark-palette\", \"seaborn-darkgrid\", \"seaborn-deep\",","| 'steps-mid' | 'steps-post'] por [optional] Plot from first good value to last","you to override the names in the data set. You must supply a","[optional, default is 'descending'] How to sort the values for the probability plots.","all horizontal lines. A missing value or None will start at the minimum","hlines_y is not None: hlines_y = tsutils.make_list(hlines_y) hlines_xmin = tsutils.make_list(hlines_xmin) hlines_xmax = tsutils.make_list(hlines_xmax)","+-------+----------------+ | o | circle | +-------+----------------+ | v | triangle down |","is False] Whether to plot grid lines on the major ticks. label_rotation :","+------+---------+ | y | yellow | +------+---------+ | k | black | +------+---------+","Markers | +=======+================+ | . | point | +-------+----------------+ | o | circle","tsutils.make_list(linestyles) if bar_hatchstyles == \"auto\": bar_hatchstyles = plotutils.HATCH_LIST else: bar_hatchstyles = tsutils.make_list(bar_hatchstyles) if","type=[str, [\"domain\", [\"kde\",],], 1,], # lag_plot_lag=[int, [\"range\", [1, None]], 1], # xtitle=[str, [\"pass\",","[optional, default is 'arithmetic'] Defines the type of the yaxis. One of 'arithmetic',","| dashed | +---------+--------------+ | -. | dash_dot | +---------+--------------+ | : |","to be distinguished by someone with color blindness. Black, White, and Gray Styles","| +-------+----------------+ | ``*`` | star | +-------+----------------+ | h | hexagon1 |","nxlim[1] if vlines_x is not None: vlines_x = tsutils.make_list(vlines_x) vlines_ymin = tsutils.make_list(vlines_ymin) vlines_ymax","| +-------+----------------+ | ^ | triangle up | +-------+----------------+ | < | triangle","defaults to True] Whether to display the legend. legend_names : str [optional, defaults","| 2 | tri_up | +-------+----------------+ | 3 | tri_left | +-------+----------------+ |","markerstyles.append(st[1]) try: linestyles.append(st[2:]) except IndexError: linestyles.append(\" \") else: markerstyles.append(\" \") linestyles.append(st[1:]) if linestyles","pd from mando.rst_text_formatter import RSTHelpFormatter from tstoolbox import tsutils from .. import plotutils","is another style useful for photo-copyable black, white, nd gray. Matplotlib styles: https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_reference.html","[\"auto\", None, \"\", \" \", \" \"] + plotutils.HATCH_LIST], None], # style=[str, [\"pass\",","hlines_colors=hlines_colors, hlines_linestyles=hlines_linestyles, vlines_x=vlines_x, vlines_ymin=vlines_ymin, vlines_ymax=vlines_ymax, vlines_colors=vlines_colors, vlines_linestyles=vlines_linestyles, ) # @tsutils.validator( # ofilename=[str, [\"pass\",","the implementation of # mando legend = bool(legend == \"\" or legend ==","linestyles=linestyles, markerstyles=markerstyles, bar_hatchstyles=bar_hatchstyles, style=style, logx=logx, logy=logy, xaxis=xaxis, yaxis=yaxis, xlim=xlim, ylim=ylim, secondary_y=secondary_y, mark_right=mark_right, scatter_matrix_diagonal=scatter_matrix_diagonal,","of strings for each time-series in the data set. subplots [optional, defaults to","plus | +-------+----------------+ | x | x | +-------+----------------+ | D | diamond","[\"ascending\", \"descending\"]], 1], # plot_styles=[ # str, # [ # \"domain\", # [","linestyles == \"auto\": linestyles = plotutils.LINE_LIST else: linestyles = tsutils.make_list(linestyles) if bar_hatchstyles ==","to sort the values for the probability plots. Only used for norm_xaxis, norm_yaxis,","1 that represents the level of gray, where 0 is white an 1","nstyle = tsutils.make_list(style) if len(nstyle) != len(tsd.columns): raise ValueError( tsutils.error_wrapper( \"\"\" You have","== \"auto\": bar_hatchstyles = plotutils.HATCH_LIST else: bar_hatchstyles = tsutils.make_list(bar_hatchstyles) if markerstyles == \"auto\":","None]], 1], # xtitle=[str, [\"pass\", []], 1], # ytitle=[str, [\"pass\", []], 1], #","\"] + plotutils.LINE_LIST], # None, # ], # ) def kde( input_ts=\"-\", columns=None,","kde_cli( input_ts=\"-\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\"datetime\", names=None, ofilename=\"plot.png\", xtitle=\"\", ytitle=\"\", title=\"\",","[optional, defaults to None] Number or list of y values where to place","| draw nothing | +---------+--------------+ Line reference: http://matplotlib.org/api/artist_api.html markerstyles [optional, default to '","\"none\": short_freq = \"\" else: # short freq string (day) OR (2 day)","| Color | +======+=========+ | b | blue | +------+---------+ | g |","numpy as np import pandas as pd from mando.rst_text_formatter import RSTHelpFormatter from tstoolbox","'auto' will iterate through the available matplotlib marker types. Otherwise on the command","vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\"-\", ): r\"\"\"Kernel density estimation of probability density function.","[\"domain\", [True, False]], 1], # legend_names=[str, [\"pass\", []], 1], # subplots=[bool, [\"domain\", [True,","case subplots=True, share x axis. sharey [optional, default to False] In case subplots=True,","for example 'filename.png' will create a PNG file. If used within Python, and","using the Python API. Separated 'colors', 'linestyles', and 'markerstyles' instead of using the","code strings. Can identify colors in four different ways. 1. Use 'CN' where","por [optional] Plot from first good value to last good value. Strips NANs","the plot along the diagonal. One of 'kde' for Kernel Density Estimation or","frequency try: try: pltfreq = str(tsd.index.freq, \"utf-8\").lower() except TypeError: pltfreq = str(tsd.index.freq).lower() if","matplotlib colors in the chosen style. At the command line supply a comma","# \"Solarize_Light2\", # \"bmh\", # \"dark_background\", # \"fast\", # \"fivethirtyeight\", # \"ggplot\", #","not None: vlines_x = tsutils.make_list(vlines_x) vlines_ymin = tsutils.make_list(vlines_ymin) vlines_ymax = tsutils.make_list(vlines_ymax) vlines_colors =","data. The 'legend_names' option allows you to override the names in the data","' ' | draw nothing | +---------+--------------+ | '' | draw nothing |","# \"bright\", # \"vibrant\", # \"muted\", # \"retro\", # ], # ], #","index_type=index_type, start_date=start_date, end_date=end_date, pick=columns, round_index=round_index, dropna=\"all\", source_units=source_units, target_units=target_units, clean=clean, por=por, ) tsd, lnames","the various time-series automatically. scatter_matrix_diagonal : str [optional, defaults to 'kde'] If plot","and \"muted\" are all styles that are setup to be able to be","a list must be same length as `hlines_y`. If None will take for","y axis. colors [optional, default is 'auto'] The default 'auto' will cycle through","# subplots=[bool, [\"domain\", [True, False]], 1], # sharex=[bool, [\"domain\", [True, False]], 1], #","vlines_linestyles=\"-\", ): r\"\"\"Kernel density estimation of probability density function. \"kde\" will create a","color for all horizontal lines. If a list must be same length as","\", \" \"] + plotutils.MARKER_LIST], None], # bar_hatchstyles=[str, [\"domain\", [\"auto\", None, \"\", \"","dotted | +---------+--------------+ | None | draw nothing | +---------+--------------+ | ' '","colors=colors, linestyles=linestyles, markerstyles=markerstyles, bar_hatchstyles=bar_hatchstyles, style=style, logx=logx, logy=logy, xaxis=xaxis, yaxis=yaxis, xlim=xlim, ylim=ylim, secondary_y=secondary_y, mark_right=mark_right,","color pallette in the current plot style. hlines_linestyles: [optional, defaults to None] List","vlines_x, vlines_ymin, vlines_ymax, colors=vlines_colors, linestyles=vlines_linestyles, ) plt.xlabel(xtitle) plt.ylabel(ytitle) if invert_xaxis is True: plt.gca().invert_xaxis()","linestyles=hlines_linestyles, ) if vlines_x is not None: if type in [\"norm_xaxis\", \"lognorm_xaxis\", \"weibull_xaxis\"]:","= str(tsd.index.freq).lower() if pltfreq.split(\" \")[0][1:] == \"1\": beginstr = 3 else: beginstr =","[optional, defaults to 'plot.png'] Output filename for the plot. Extension defines the type,","| +-------+----------------+ | d | thin diamond | +-------+----------------+ | _ | hlines_y","== \"auto\": colors = None else: colors = tsutils.make_list(colors) if linestyles == \"auto\":","single number will be used as the minimum x values for all horizontal","end each vertical line. If a list must be same length as `vlines_x`.","the secondary y-axis. If a list/tuple, which time-series to plot on secondary y-axis.","[optional, defaults to False] Make separate subplots for each time series. sharex [optional,","[\"domain\", [\"auto\", None, \"\", \" \", \" \"] + plotutils.HATCH_LIST], None], # style=[str,","+ plotutils.MARKER_LIST], None], # bar_hatchstyles=[str, [\"domain\", [\"auto\", None, \"\", \" \", \" \"]","used as the linestyle for all horizontal lines. If a list must be","gray, where 0 is white an 1 is black. 4. Any of the","missing value or None will end at the maximum x value for the","# colors=[str, [\"pass\", []], None], # linestyles=[str, [\"domain\", [\"auto\", None, \"\", \" \",","[\"pass\", []], None], # vlines_ymin=[float, [\"pass\", []], None], # vlines_ymax=[float, [\"pass\", []], None],","tsd, lnames = plotutils.check(type, tsd, legend_names) # This is to help pretty print","tsutils.make_list(vlines_colors) vlines_linestyles = tsutils.make_list(vlines_linestyles) nylim = ax.get_ylim() if vlines_ymin is None: vlines_ymin =","is True or lognorm_xaxis is True or lognorm_yaxis is True ): warnings.warn( \"\"\"","formatter_class=RSTHelpFormatter, doctype=\"numpy\") @tsutils.doc(plotutils.ldocstrings) def kde_cli( input_ts=\"-\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\"datetime\", names=None,","instead. lognorm_yaxis DEPRECATED: use '--type=\"lognorm_yaxis\"' instead. xy_match_line : str [optional, defaults is '']","draw nothing | +---------+--------------+ | '' | draw nothing | +---------+--------------+ Line reference:","use the time-series names associated with the input data. The 'legend_names' option allows","of y-axis. title : str [optional, defaults to ''] Title of chart. figsize","def kde_cli( input_ts=\"-\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\"datetime\", names=None, ofilename=\"plot.png\", xtitle=\"\", ytitle=\"\",","if colors == \"auto\": colors = None else: colors = tsutils.make_list(colors) if linestyles","the data set. You must supply a comma separated list of strings for","a vertical line. vlines_ymin: [optional, defaults to None] List of minimum y values","plotutils.HATCH_LIST], None], # style=[str, [\"pass\", []], None], # xlim=[float, [\"pass\", []], 2], #","barh, bar_stacked, and barh_stacked. ibar_hatchstyles = itertools.cycle(bar_hatchstyles) if ( logx is True or","which has {} style strings, but you have {} time-series. \"\"\".format( style, len(nstyle),","mark_right [optional, default is True] When using a secondary_y axis, should the legend","the same number of style strings as time-series to plot. You supplied '{}'","yaxis=\"arithmetic\", xlim=None, ylim=None, secondary_y=False, mark_right=True, scatter_matrix_diagonal=\"kde\", bootstrap_size=50, bootstrap_samples=500, norm_xaxis=False, norm_yaxis=False, lognorm_xaxis=False, lognorm_yaxis=False, xy_match_line=\"\",","label_rotation=label_rotation, label_skip=label_skip, force_freq=force_freq, drawstyle=drawstyle, por=por, invert_xaxis=invert_xaxis, invert_yaxis=invert_yaxis, round_index=round_index, plotting_position=plotting_position, prob_plot_sort_values=prob_plot_sort_values, source_units=source_units, target_units=target_units, lag_plot_lag=lag_plot_lag,","| red | +------+---------+ | c | cyan | +------+---------+ | m |","| +-------+----------------+ | ' ' | nothing | +-------+----------------+ | '' | nothing","of random subsets of 'bootstrap_size'. norm_xaxis DEPRECATED: use '--type=\"norm_xaxis\"' instead. norm_yaxis DEPRECATED: use","short freq string (day) OR (2 day) short_freq = \"({})\".format(pltfreq[beginstr:-1]) except AttributeError: short_freq","Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. {columns} {start_date} {end_date}","maximum x value for the entire plot. vlines_colors: [optional, defaults to None] List","then be changed or added to as needed. lag_plot_lag [optional, default to 1]","cycle through matplotlib colors in the chosen style. At the command line supply","horizontal | +-----------------+-------------------+ | + | crossed | +-----------------+-------------------+ | x | crossed","c = None if imarkerstyles is not None: m = next(imarkerstyles) else: m","that gets the Nth color from the current style. 2. Single character code","take for the standard linestyles list. vlines_x: [optional, defaults to None] List of","to be able to be distinguished by someone with color blindness. Black, White,","time-series to plot on secondary y-axis. mark_right [optional, default is True] When using","vlines_ymin=[float, [\"pass\", []], None], # vlines_ymax=[float, [\"pass\", []], None], # vlines_colors=[str, [\"pass\", []],","Separated 'colors', 'linestyles', and 'markerstyles' instead of using the 'style' keyword. +---------+--------------+ |","- | horizontal | +-----------------+-------------------+ | + | crossed | +-----------------+-------------------+ | x","> | triangle right | +-------+----------------+ | 1 | tri_down | +-------+----------------+ |","lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. prob_plot_sort_values : str [optional, default is 'descending'] How","+-----------------+-------------------+ | ``\\`` | back diagonal | +-----------------+-------------------+ | ``|`` | vertical |","ofilename : str [optional, defaults to 'plot.png'] Output filename for the plot. Extension","defaults to None] List of minimum x values to start the horizontal line.","False]], 1], # mark_right=[bool, [\"domain\", [True, False]], 1], # scatter_matrix_diagonal=[str, [\"domain\", [\"kde\", \"hist\"]],","else: # short freq string (day) OR (2 day) short_freq = \"({})\".format(pltfreq[beginstr:-1]) except","| -- | dashed | +---------+--------------+ | -. | dash_dot | +---------+--------------+ |","\"hist\"]], 1], # bootstrap_size=[int, [\"range\", [0, None]], 1], # xy_match_line=[str, [\"pass\", []], 1],","vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\"-\", **kwds, ): r\"\"\"Plot data.\"\"\" # Need to work","for the probability plots. Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and","List of maximum x values to end each vertical line. If a list","if hlines_xmin is None: hlines_xmin = nxlim[0] if hlines_xmax is None: hlines_xmax =","Parameters ---------- {input_ts} ofilename : str [optional, defaults to 'plot.png'] Output filename for","a single linestyle then will be used as the linestyle for all vertical","to 1000. ylim [optional, default is based on range of y values] Comma","invert_xaxis=[bool, [\"domain\", [True, False]], 1], # invert_yaxis=[bool, [\"domain\", [True, False]], 1], # plotting_position=[","m | magenta | +------+---------+ | y | yellow | +------+---------+ | k","end_date=None, clean=False, skiprows=None, index_type=\"datetime\", names=None, ofilename=\"plot.png\", xtitle=\"\", ytitle=\"\", title=\"\", figsize=\"10,6.0\", legend=None, legend_names=None, subplots=False,","solid | +---------+--------------+ | -- | dashed | +---------+--------------+ | -. | dash_dot","down | +-------+----------------+ | ^ | triangle up | +-------+----------------+ | < |","\"bright\", # \"vibrant\", # \"muted\", # \"retro\", # ], # ], # None,","linestyle=l) ytitle = ytitle or \"Density\" if legend is True: plt.legend(loc=\"best\") if hlines_y","\"science\", \"grid\", \"ieee\", \"scatter\", \"notebook\", \"high-vis\", \"bright\", \"vibrant\", \"muted\", and \"retro\". If multiple","hlines_linestyles = tsutils.make_list(hlines_linestyles) nxlim = ax.get_xlim() if hlines_xmin is None: hlines_xmin = nxlim[0]","separated list of strings for each time-series in the data set. subplots [optional,","used as the minimum x values for all horizontal lines. A missing value","or a list of strings if using the Python API. +-----------------+-------------------+ | bar_hatchstyles","be able to be distinguished by someone with color blindness. Black, White, and","str [optional, default is 'arithmetic'] Defines the type of the yaxis. One of","same length as `vlines_x`. If a single number will be the maximum x","option allows you to override the names in the data set. You must","\"seaborn-notebook\", \"seaborn-paper\", \"seaborn-pastel\", \"seaborn-poster\", \"seaborn-talk\", \"seaborn-ticks\", \"seaborn-white\", \"seaborn-whitegrid\", \"tableau-colorblind10\", and SciencePlots styles \"science\",","| +---------+--------------+ | '' | draw nothing | +---------+--------------+ Line reference: http://matplotlib.org/api/artist_api.html markerstyles","Appropriate Styles The styles \"seaborn-colorblind\", \"tableau-colorblind10\", \"bright\", \"vibrant\", and \"muted\" are all styles","style. vlines_linestyles: [optional, defaults to None] List of linestyles for the vertical lines.","+-----------------+-------------------+ | * | stars | +-----------------+-------------------+ logx DEPRECATED: use '--xaxis=\"log\"' instead. logy","y values] Comma separated lower and upper limits for the y-axis of the","import FixedLocator tsd = tsutils.common_kwds( input_ts, skiprows=skiprows, names=names, index_type=index_type, start_date=start_date, end_date=end_date, pick=columns, round_index=round_index,","+-------+----------------+ | ^ | triangle up | +-------+----------------+ | < | triangle left","``|`` | vertical | +-----------------+-------------------+ | - | horizontal | +-----------------+-------------------+ | +","to 'steps-pre' and is maintained for backward-compatibility. ACCEPTS:: ['default' | 'steps' | 'steps-pre'","# sharex=[bool, [\"domain\", [True, False]], 1], # sharey=[bool, [\"domain\", [True, False]], 1], #","try: pltfreq = str(tsd.index.freq, \"utf-8\").lower() except TypeError: pltfreq = str(tsd.index.freq).lower() if pltfreq.split(\" \")[0][1:]","input_ts, skiprows=skiprows, names=names, index_type=index_type, start_date=start_date, end_date=end_date, pick=columns, round_index=round_index, dropna=\"all\", source_units=source_units, target_units=target_units, clean=clean, por=por,","http://matplotlib.org/api/markers_api.html style [optional, default is None] Still available, but if None is replaced","# \"seaborn-muted\", # \"seaborn-notebook\", # \"seaborn-paper\", # \"seaborn-pastel\", # \"seaborn-poster\", # \"seaborn-talk\", #","--type=\"norm_yaxis\" * For --lognorm_xaxis use --type=\"lognorm_xaxis\" * For --lognorm_yaxis use --type=\"lognorm_yaxis\" * \"\"\"","on ``type``] Title of x-axis. ytitle : str [optional, default depends on ``type``]","black. 4. Any of the HTML color names. +------------------+ | HTML Color Names","or lognorm_xaxis is True or lognorm_yaxis is True ): warnings.warn( \"\"\" * *","vlines_ymax=[float, [\"pass\", []], None], # vlines_colors=[str, [\"pass\", []], None], # vlines_linestyles=[ # str,","to None] List of linestyles for the vertical lines. If a single linestyle","hlines_y=hlines_y, hlines_xmin=hlines_xmin, hlines_xmax=hlines_xmax, hlines_colors=hlines_colors, hlines_linestyles=hlines_linestyles, vlines_x=vlines_x, vlines_ymin=vlines_ymin, vlines_ymax=vlines_ymax, vlines_colors=vlines_colors, vlines_linestyles=vlines_linestyles, ) # @tsutils.validator(","on range of x values] Comma separated lower and upper limits for the","value for the entire plot. vlines_colors: [optional, defaults to None] List of colors","vlines_x=[float, [\"pass\", []], None], # vlines_ymin=[float, [\"pass\", []], None], # vlines_ymax=[float, [\"pass\", []],","set the upper limit to 1000. ylim [optional, default is based on range","separated matplotlib color codes, or within Python a list of color code strings.","good value. Strips NANs from beginning and end. {force_freq} invert_xaxis [optional, default is","| star | +-------+----------------+ | h | hexagon1 | +-------+----------------+ | H |","\", \" \"] + plotutils.LINE_LIST], # None, # ], # ) def kde(","if hlines_y is not None: hlines_y = tsutils.make_list(hlines_y) hlines_xmin = tsutils.make_list(hlines_xmin) hlines_xmax =","to False] Make separate subplots for each time series. sharex [optional, default to","for i in markerstyles] if colors is not None: icolors = itertools.cycle(colors) else:","gray, however the \"ieee\" also will change the chart size to fit in","invert_yaxis=invert_yaxis, round_index=round_index, plotting_position=plotting_position, prob_plot_sort_values=prob_plot_sort_values, source_units=source_units, target_units=target_units, lag_plot_lag=lag_plot_lag, plot_styles=plot_styles, hlines_y=hlines_y, hlines_xmin=hlines_xmin, hlines_xmax=hlines_xmax, hlines_colors=hlines_colors, hlines_linestyles=hlines_linestyles,","estimation of the probability density function based on the data called kernel density","Title of x-axis. ytitle : str [optional, default depends on ``type``] Title of","# \"notebook\", # \"high-vis\", # \"bright\", # \"vibrant\", # \"muted\", # \"retro\", #","[\"norm_xaxis\", \"lognorm_xaxis\", \"weibull_xaxis\"]: vlines_x = ppf(tsutils.make_list(vlines_x)) plt.vlines( vlines_x, vlines_ymin, vlines_ymax, colors=vlines_colors, linestyles=vlines_linestyles, )","linestyle for all horizontal lines. If a list must be same length as","more of Matplotlib styles \"classic\", \"Solarize_Light2\", \"bmh\", \"dark_background\", \"fast\", \"fivethirtyeight\", \"ggplot\", \"grayscale\", \"seaborn\",","hexagon2 | +-------+----------------+ | ``+`` | plus | +-------+----------------+ | x | x","# mark_right=[bool, [\"domain\", [True, False]], 1], # scatter_matrix_diagonal=[str, [\"domain\", [\"kde\", \"hist\"]], 1], #","if vlines_x is not None: vlines_x = tsutils.make_list(vlines_x) vlines_ymin = tsutils.make_list(vlines_ymin) vlines_ymax =","line in enumerate(ax.lines): if icolors is not None: c = next(icolors) else: c","colors [optional, default is 'auto'] The default 'auto' will cycle through matplotlib colors","Styles The styles \"seaborn-colorblind\", \"tableau-colorblind10\", \"bright\", \"vibrant\", and \"muted\" are all styles that","SciencePlots styles: https://github.com/garrettj403/SciencePlots hlines_y: [optional, defaults to None] Number or list of y","clean=False, skiprows=None, index_type=\"datetime\", names=None, ofilename=\"plot.png\", xtitle=\"\", ytitle=\"\", title=\"\", figsize=\"10,6.0\", legend=None, legend_names=None, subplots=False, sharex=True,","defaults to 'plot.png'] Output filename for the plot. Extension defines the type, for","== \"log\": logx = True if yaxis == \"log\": logy = True xlim","[ # \"domain\", # [\"weibull\", \"benard\", \"tukey\", \"gumbel\", \"hazen\", \"cunnane\", \"california\"], # ],","vertical lines. If a single color then will be used as the color","x values for all vertical lines. A missing value or None will start","x values for all horizontal lines. A missing value or None will start","where N is a number from 0 to 9 that gets the Nth","to 500] The number of random subsets of 'bootstrap_size'. norm_xaxis DEPRECATED: use '--type=\"norm_xaxis\"'","\"seaborn-dark-palette\", # \"seaborn-darkgrid\", # \"seaborn-deep\", # \"seaborn-muted\", # \"seaborn-notebook\", # \"seaborn-paper\", # \"seaborn-pastel\",","'auto'] The default 'auto' will cycle through matplotlib colors in the chosen style.","for i in linestyles] markerstyles = [\" \" if i is None else","None] Number or list of y values where to place a horizontal line.","xy_match_line=xy_match_line, grid=grid, label_rotation=label_rotation, label_skip=label_skip, force_freq=force_freq, drawstyle=drawstyle, por=por, invert_xaxis=invert_xaxis, invert_yaxis=invert_yaxis, round_index=round_index, plotting_position=plotting_position, prob_plot_sort_values=prob_plot_sort_values, source_units=source_units,","and * --lognorm_yaxis options are deprecated. * * For --logx use --xaxis=\"log\" *","vlines_x is not None: vlines_x = tsutils.make_list(vlines_x) vlines_ymin = tsutils.make_list(vlines_ymin) vlines_ymax = tsutils.make_list(vlines_ymax)","is 'default'] 'default' connects the points with lines. The steps variants produce step-plots.","invert_yaxis [optional, default is False] Invert the y-axis. plotting_position : str [optional, default","linestyles=vlines_linestyles, ) plt.xlabel(xtitle) plt.ylabel(ytitle) if invert_xaxis is True: plt.gca().invert_xaxis() if invert_yaxis is True:","x values where to place a vertical line. vlines_ymin: [optional, defaults to None]","is based on range of y values] Comma separated lower and upper limits","is True or lognorm_yaxis is True ): warnings.warn( \"\"\" * * The --logx,","], # 1, # ], # prob_plot_sort_values=[str, [\"domain\", [\"ascending\", \"descending\"]], 1], # plot_styles=[","| +-----------------+-------------------+ | O | large circle | +-----------------+-------------------+ | . | dots","norm_yaxis is True or lognorm_xaxis is True or lognorm_yaxis is True ): warnings.warn(","to ' '] The default ' ' will not plot a marker. If","'auto' will iterate through the available matplotlib line types. Otherwise on the command","markerstyles = [] linestyles = [] for st in nstyle: colors.append(st[0]) if len(st)","used if type equal to \"bar\", \"barh\", \"bar_stacked\", and \"barh_stacked\"] If 'auto' will","= tsutils.make_list(vlines_x) vlines_ymin = tsutils.make_list(vlines_ymin) vlines_ymax = tsutils.make_list(vlines_ymax) vlines_colors = tsutils.make_list(vlines_colors) vlines_linestyles =","+------------------+ | chartreuse | +------------------+ | ...etc. | +------------------+ Color reference: http://matplotlib.org/api/colors_api.html linestyles","first good value to last good value. Strips NANs from beginning and end.","\"IEEE\" journal. The \"grayscale\" is another style useful for photo-copyable black, white, nd","diagonal | +-----------------+-------------------+ | o | small circle | +-----------------+-------------------+ | O |","the 'style' keyword. +---------+--------------+ | Code | Lines | +=========+==============+ | ``-`` |","\"vibrant\", and \"muted\" are all styles that are setup to be able to","# por=[bool, [\"domain\", [True, False]], 1], # invert_xaxis=[bool, [\"domain\", [True, False]], 1], #","defaults to 500] The number of random subsets of 'bootstrap_size'. norm_xaxis DEPRECATED: use","example 'filename.png' will create a PNG file. If used within Python, and `ofilename`","as np import pandas as pd from mando.rst_text_formatter import RSTHelpFormatter from tstoolbox import","tsutils.make_list(style) if len(nstyle) != len(tsd.columns): raise ValueError( tsutils.error_wrapper( \"\"\" You have to have","If used within Python, and `ofilename` is None will return the Matplotlib figure","horizontal lines. A missing value or None will start at the minimum x","+-------+----------------+ | h | hexagon1 | +-------+----------------+ | H | hexagon2 | +-------+----------------+","str [optional, default is 'default'] 'default' connects the points with lines. The steps","the linestyle for all vertical lines. If a list must be same length","If a single number will be the maximum x value for all horizontal","of style strings as time-series to plot. You supplied '{}' for style which","vertical lines. A missing value or None will start at the minimum x","* For --norm_xaxis use --type=\"norm_xaxis\" * For --norm_yaxis use --type=\"norm_yaxis\" * For --lognorm_xaxis","take from the color pallette in the current plot style. vlines_linestyles: [optional, defaults","diagonal. One of 'kde' for Kernel Density Estimation or 'hist' for a histogram.","# style=[str, [\"pass\", []], None], # xlim=[float, [\"pass\", []], 2], # ylim=[float, [\"pass\",","[\" \" if i is None else i for i in markerstyles] if","is True: plt.legend(loc=\"best\") if hlines_y is not None: hlines_y = tsutils.make_list(hlines_y) hlines_xmin =","instead of using the 'style' keyword. +-------+----------------+ | Code | Markers | +=======+================+","old option defaults with the implementation of # mando legend = bool(legend ==","end at the maximum x value for the entire plot. hlines_colors: [optional, defaults","False]], 1], # invert_xaxis=[bool, [\"domain\", [True, False]], 1], # invert_yaxis=[bool, [\"domain\", [True, False]],","# \"domain\", # [\"weibull\", \"benard\", \"tukey\", \"gumbel\", \"hazen\", \"cunnane\", \"california\"], # ], #","plotutils.know_your_limits(xlim, axis=xaxis) ylim = plotutils.know_your_limits(ylim, axis=yaxis) plot_styles = tsutils.make_list(plot_styles) + [\"no-latex\"] style_loc =","on the major ticks. label_rotation : int [optional] Rotation for major labels for","if vlines_ymax is None: vlines_ymax = nylim[1] if type in [ \"time\", \"xy\",","d | thin diamond | +-------+----------------+ | _ | hlines_y | +-------+----------------+ |","True or lognorm_yaxis is True ): warnings.warn( \"\"\" * * The --logx, --logy,","| ' ' | draw nothing | +---------+--------------+ | '' | draw nothing","| hlines_y | +-------+----------------+ | None | nothing | +-------+----------------+ | ' '","None] List of colors for the vertical lines. If a single color then","to place a vertical line. vlines_ymin: [optional, defaults to None] List of minimum","0 to 9 that gets the Nth color from the current style. 2.","[]], 1], # title=[str, [\"pass\", []], 1], # figsize=[float, [\"range\", [0, None]], 2],","In case subplots=True, share y axis. colors [optional, default is 'auto'] The default","be same length as `vlines_x`. If a single number will be used as","**kwds, ): r\"\"\"Plot data.\"\"\" # Need to work around some old option defaults","| < | triangle left | +-------+----------------+ | > | triangle right |","axis. sharey [optional, default to False] In case subplots=True, share y axis. colors","to \"auto\", only used if type equal to \"bar\", \"barh\", \"bar_stacked\", and \"barh_stacked\"]","data and set the upper limit to 1000. ylim [optional, default is based","the upper limit to 1000. ylim [optional, default is based on range of","| D | diamond | +-------+----------------+ | d | thin diamond | +-------+----------------+","[\"domain\", [\"arithmetic\", \"log\"]], 1], # secondary_y=[bool, [\"domain\", [True, False]], 1], # mark_right=[bool, [\"domain\",","density function. \"kde\" will create a plot of estimation of the probability density","of functions for the manipulation of time series.\"\"\" from __future__ import absolute_import, division,","command line a comma separated list, or a list of strings if using","ytitle : str [optional, default depends on ``type``] Title of y-axis. title :","colors=vlines_colors, linestyles=vlines_linestyles, ) plt.xlabel(xtitle) plt.ylabel(ytitle) if invert_xaxis is True: plt.gca().invert_xaxis() if invert_yaxis is","[\"pass\", []], None], # hlines_xmax=[float, [\"pass\", []], None], # hlines_colors=[str, [\"pass\", []], None],","supply a comma separated matplotlib color codes, or within Python a list of","# \"seaborn-notebook\", # \"seaborn-paper\", # \"seaborn-pastel\", # \"seaborn-poster\", # \"seaborn-talk\", # \"seaborn-ticks\", #","current plot style. vlines_linestyles: [optional, defaults to None] List of linestyles for the","the others. Comma separated matplotlib style strings per time-series. Just combine codes in","'bootstrap' plot. bootstrap_samples [optional, defaults to 500] The number of random subsets of","and weibull_yaxis. {columns} {start_date} {end_date} {clean} {skiprows} {index_type} {names} {source_units} {target_units} {round_index} plot_styles:","code. Separated 'colors', 'linestyles', and 'markerstyles' instead of using the 'style' keyword. +---------+--------------+","hlines_y: [optional, defaults to None] Number or list of y values where to","to \"bar\", \"barh\", \"bar_stacked\", and \"barh_stacked\"] If 'auto' will iterate through the available","If a single color then will be used as the color for all","* The --logx, --logy, --norm_xaxis, --norm_yaxis, --lognorm_xaxis, and * --lognorm_yaxis options are deprecated.","[optional, default is 'auto'] The default 'auto' will cycle through matplotlib colors in","= \"({})\".format(pltfreq[beginstr:-1]) except AttributeError: short_freq = \"\" if colors == \"auto\": colors =","[\"pass\", []], None], # hlines_xmin=[float, [\"pass\", []], None], # hlines_xmax=[float, [\"pass\", []], None],","legend=legend, legend_names=legend_names, subplots=subplots, sharex=sharex, sharey=sharey, colors=colors, linestyles=linestyles, markerstyles=markerstyles, bar_hatchstyles=bar_hatchstyles, style=style, logx=logx, logy=logy, xaxis=xaxis,","next(icolors) else: c = None if imarkerstyles is not None: m = next(imarkerstyles)","'markerstyles' instead of using the 'style' keyword. +-------+----------------+ | Code | Markers |","[optional, defaults to None] List of linestyles for the vertical lines. If a","a single linestyle then will be used as the linestyle for all horizontal","list. \"\"\" plt = kde( input_ts=input_ts, columns=columns, start_date=start_date, end_date=end_date, clean=clean, skiprows=skiprows, index_type=index_type, names=names,","# secondary_y=[bool, [\"domain\", [True, False]], 1], # mark_right=[bool, [\"domain\", [True, False]], 1], #","to True] In case subplots=True, share x axis. sharey [optional, default to False]","# \"fast\", # \"fivethirtyeight\", # \"ggplot\", # \"grayscale\", # \"seaborn\", # \"seaborn-bright\", #",") plt.xlabel(xtitle) plt.ylabel(ytitle) if invert_xaxis is True: plt.gca().invert_xaxis() if invert_yaxis is True: plt.gca().invert_yaxis()","someone with color blindness. Black, White, and Gray Styles The \"ieee\" style is","\" \"] + plotutils.LINE_LIST], # None, # ], # ) def kde( input_ts=\"-\",","linestyles.append(\" \") else: markerstyles.append(\" \") linestyles.append(st[1:]) if linestyles is None: linestyles = [\"","or all of the characteristics of the previous. Color Blind Appropriate Styles The","Lines | +=========+==============+ | ``-`` | solid | +---------+--------------+ | -- | dashed","good value to last good value. Strips NANs from beginning and end. {force_freq}","draw nothing | +---------+--------------+ Line reference: http://matplotlib.org/api/artist_api.html markerstyles [optional, default to ' ']","the xaxis. One of 'arithmetic', 'log'. yaxis : str [optional, default is 'arithmetic']","Defines the type of the xaxis. One of 'arithmetic', 'log'. yaxis : str","of colors for the horizontal lines. If a single color then will be","red | +------------------+ | burlywood | +------------------+ | chartreuse | +------------------+ | ...etc.","N is a number from 0 to 9 that gets the Nth color","is True] When using a secondary_y axis, should the legend label the axis","None], # hlines_xmax=[float, [\"pass\", []], None], # hlines_colors=[str, [\"pass\", []], None], # hlines_linestyles=[","on the data called kernel density estimation (KDE). {ydata} Parameters ---------- {input_ts} ofilename","types. Otherwise on the command line a comma separated list, or a list","+-------+----------------+ | _ | hlines_y | +-------+----------------+ | None | nothing | +-------+----------------+","be same length as `vlines_x`. If a single number will be the maximum","linestyle code. Separated 'colors', 'linestyles', and 'markerstyles' instead of using the 'style' keyword.","for each time series. sharex [optional, default to True] In case subplots=True, share","drawstyle : str [optional, default is 'default'] 'default' connects the points with lines.","plotutils.MARKER_LIST else: markerstyles = tsutils.make_list(markerstyles) if markerstyles is None: markerstyles = \" \"","star marker. bar_hatchstyles [optional, default to \"auto\", only used if type equal to","a list must be same length as `vlines_x`. If None will take for","True xlim = plotutils.know_your_limits(xlim, axis=xaxis) ylim = plotutils.know_your_limits(ylim, axis=yaxis) plot_styles = tsutils.make_list(plot_styles) +","`vlines_x`. If None will take for the standard linestyles list. \"\"\" plt =","# \"seaborn-darkgrid\", # \"seaborn-deep\", # \"seaborn-muted\", # \"seaborn-notebook\", # \"seaborn-paper\", # \"seaborn-pastel\", #","ofilename=\"plot.png\", xtitle=\"\", ytitle=\"\", title=\"\", figsize=\"10,6.0\", legend=None, legend_names=None, subplots=False, sharex=True, sharey=False, colors=\"auto\", linestyles=\"auto\", markerstyles=\"","Rotation for major labels for bar plots. label_skip : int [optional] Skip for","and barh_stacked. ibar_hatchstyles = itertools.cycle(bar_hatchstyles) if ( logx is True or logy is","use --type=\"norm_yaxis\" * For --lognorm_xaxis use --type=\"lognorm_xaxis\" * For --lognorm_yaxis use --type=\"lognorm_yaxis\" *","--type=\"lognorm_xaxis\" * For --lognorm_yaxis use --type=\"lognorm_yaxis\" * \"\"\" ) if xaxis == \"log\":","probability density function. \"kde\" will create a plot of estimation of the probability","'--type=\"norm_xaxis\"' instead. norm_yaxis DEPRECATED: use '--type=\"norm_yaxis\"' instead. lognorm_xaxis DEPRECATED: use '--type=\"lognorm_xaxis\"' instead. lognorm_yaxis","minimum x values for all horizontal lines. A missing value or None will","defaults to None] List of linestyles for the horizontal lines. If a single","| 3 | tri_left | +-------+----------------+ | 4 | tri_right | +-------+----------------+ |","beginstr = 3 else: beginstr = 1 if pltfreq == \"none\": short_freq =","must be same length as `vlines_x`. If a single number will be used","+---------+--------------+ | None | draw nothing | +---------+--------------+ | ' ' | draw","os.path.join(style_loc, i + \".mplstyle\") if os.path.exists(os.path.join(style_loc, i + \".mplstyle\")) else i for i","defaults to ''] Title of chart. figsize : str [optional, defaults to '10,6.5']","plt.ylabel(ytitle) if invert_xaxis is True: plt.gca().invert_xaxis() if invert_yaxis is True: plt.gca().invert_yaxis() plt.grid(grid) plt.title(title)","hlines_xmin = nxlim[0] if hlines_xmax is None: hlines_xmax = nxlim[1] if vlines_x is","\"retro\". If multiple styles then each over rides some or all of the","kernel density estimation (KDE). {ydata} Parameters ---------- {input_ts} ofilename : str [optional, defaults","vlines_ymax=None, vlines_colors=None, vlines_linestyles=\"-\", **kwds, ): r\"\"\"Plot data.\"\"\" # Need to work around some","markerstyles is None: markerstyles = \" \" if style != \"auto\": nstyle =","random subset for 'bootstrap' plot. bootstrap_samples [optional, defaults to 500] The number of","`ofilename` is None will return the Matplotlib figure that can then be changed","= plotutils.check(type, tsd, legend_names) # This is to help pretty print the frequency","None will return the Matplotlib figure that can then be changed or added","If a single number will be used as the minimum x values for","be used as the linestyle for all horizontal lines. If a list must","# hlines_y=[float, [\"pass\", []], None], # hlines_xmin=[float, [\"pass\", []], None], # hlines_xmax=[float, [\"pass\",","else: colors = tsutils.make_list(colors) if linestyles == \"auto\": linestyles = plotutils.LINE_LIST else: linestyles","\"domain\", # [\"weibull\", \"benard\", \"tukey\", \"gumbel\", \"hazen\", \"cunnane\", \"california\"], # ], # 1,","| -. | dash_dot | +---------+--------------+ | : | dotted | +---------+--------------+ |","the plot. One or more of Matplotlib styles \"classic\", \"Solarize_Light2\", \"bmh\", \"dark_background\", \"fast\",","--logx, --logy, --norm_xaxis, --norm_yaxis, --lognorm_xaxis, and * --lognorm_yaxis options are deprecated. * *","plot. You supplied '{}' for style which has {} style strings, but you","place a vertical line. vlines_ymin: [optional, defaults to None] List of minimum y","nothing | +-------+----------------+ | ' ' | nothing | +-------+----------------+ | '' |","sort the values for the probability plots. Only used for norm_xaxis, norm_yaxis, lognorm_xaxis,","[]], None], # hlines_xmin=[float, [\"pass\", []], None], # hlines_xmax=[float, [\"pass\", []], None], #","separate subplots for each time series. sharex [optional, default to True] In case","as needed. lag_plot_lag [optional, default to 1] The lag used if ``type`` \"lag_plot\"","\"seaborn-pastel\", \"seaborn-poster\", \"seaborn-talk\", \"seaborn-ticks\", \"seaborn-white\", \"seaborn-whitegrid\", \"tableau-colorblind10\", and SciencePlots styles \"science\", \"grid\", \"ieee\",","will be the maximum x value for all horizontal lines. A missing value","# markerstyles=[str, [\"domain\", [\"auto\", None, \"\", \" \", \" \"] + plotutils.MARKER_LIST], None],","from the color pallette in the current plot style. hlines_linestyles: [optional, defaults to","[\"pass\", []], 1], # subplots=[bool, [\"domain\", [True, False]], 1], # sharex=[bool, [\"domain\", [True,","# \"seaborn\", # \"seaborn-bright\", # \"seaborn-colorblind\", # \"seaborn-dark\", # \"seaborn-dark-palette\", # \"seaborn-darkgrid\", #","plot_styles = tsutils.make_list(plot_styles) + [\"no-latex\"] style_loc = os.path.join( os.path.dirname(__file__), os.pardir, \"SciencePlots_styles\" ) plot_styles","for major labels for bar plots. drawstyle : str [optional, default is 'default']","help pretty print the frequency try: try: pltfreq = str(tsd.index.freq, \"utf-8\").lower() except TypeError:","'steps' | 'steps-pre' | 'steps-mid' | 'steps-post'] por [optional] Plot from first good","of the characteristics of the previous. Color Blind Appropriate Styles The styles \"seaborn-colorblind\",","maximum x value for all vertical lines. A missing value or None will","'linestyles', and 'markerstyles' instead of using the 'style' keyword. +---------+--------------+ | Code |","'steps-mid' | 'steps-post'] por [optional] Plot from first good value to last good","linestyles list. vlines_x: [optional, defaults to None] List of x values where to","use --type=\"lognorm_xaxis\" * For --lognorm_yaxis use --type=\"lognorm_yaxis\" * \"\"\" ) if xaxis ==","\"domain\", # [ # \"classic\", # \"Solarize_Light2\", # \"bmh\", # \"dark_background\", # \"fast\",","| back diagonal | +-----------------+-------------------+ | ``|`` | vertical | +-----------------+-------------------+ | -","matplotlib marker types. Otherwise on the command line a comma separated list, or","red | +------+---------+ | c | cyan | +------+---------+ | m | magenta","upper limits for the y-axis of the plot. See `xlim` for examples. xaxis","iterate through the available matplotlib marker types. Otherwise on the command line a","None else: colors = tsutils.make_list(colors) if linestyles == \"auto\": linestyles = plotutils.LINE_LIST else:","use --type=\"norm_xaxis\" * For --norm_yaxis use --type=\"norm_yaxis\" * For --lognorm_xaxis use --type=\"lognorm_xaxis\" *","the entire plot. hlines_colors: [optional, defaults to None] List of colors for the","is not None: if type in [\"norm_xaxis\", \"lognorm_xaxis\", \"weibull_xaxis\"]: vlines_x = ppf(tsutils.make_list(vlines_x)) plt.vlines(","of strings if using the Python API. +-----------------+-------------------+ | bar_hatchstyles | Description |","[\"domain\", [\"kde\", \"hist\"]], 1], # bootstrap_size=[int, [\"range\", [0, None]], 1], # xy_match_line=[str, [\"pass\",","| dotted | +---------+--------------+ | None | draw nothing | +---------+--------------+ | '","to override the names in the data set. You must supply a comma","\"seaborn-whitegrid\", # \"tableau-colorblind10\", # \"science\", # \"grid\", # \"ieee\", # \"scatter\", # \"notebook\",","| +-------+----------------+ | 4 | tri_right | +-------+----------------+ | 8 | octagon |","| h | hexagon1 | +-------+----------------+ | H | hexagon2 | +-------+----------------+ |","+=========+==============+ | ``-`` | solid | +---------+--------------+ | -- | dashed | +---------+--------------+","import numpy as np import pandas as pd from mando.rst_text_formatter import RSTHelpFormatter from","[True, False]], 1], # legend_names=[str, [\"pass\", []], 1], # subplots=[bool, [\"domain\", [True, False]],","secondary_y [optional, default is False] Whether to plot on the secondary y-axis. If","= next(ilinestyles) else: l = None if c is not None: plt.setp(line, color=c)","DEPRECATED: use '--type=\"norm_xaxis\"' instead. norm_yaxis DEPRECATED: use '--type=\"norm_yaxis\"' instead. lognorm_xaxis DEPRECATED: use '--type=\"lognorm_xaxis\"'","the plot from 1 to 1000, where '--xlim ,1000' would base the lower","bar_hatchstyles=bar_hatchstyles, style=style, logx=logx, logy=logy, xaxis=xaxis, yaxis=yaxis, xlim=xlim, ylim=ylim, secondary_y=secondary_y, mark_right=mark_right, scatter_matrix_diagonal=scatter_matrix_diagonal, bootstrap_size=bootstrap_size, bootstrap_samples=bootstrap_samples,","various time-series automatically. scatter_matrix_diagonal : str [optional, defaults to 'kde'] If plot type","in four different ways. 1. Use 'CN' where N is a number from","[optional, defaults to 500] The number of random subsets of 'bootstrap_size'. norm_xaxis DEPRECATED:","\"\"\"Collection of functions for the manipulation of time series.\"\"\" from __future__ import absolute_import,","r\"\"\"Plot data.\"\"\" # Need to work around some old option defaults with the","tsutils.make_list(hlines_y) hlines_xmin = tsutils.make_list(hlines_xmin) hlines_xmax = tsutils.make_list(hlines_xmax) hlines_colors = tsutils.make_list(hlines_colors) hlines_linestyles = tsutils.make_list(hlines_linestyles)","# vlines_linestyles=[ # str, # [\"domain\", [\"auto\", None, \"\", \" \", \" \"]","list must be same length as `vlines_x`. If a single number will be","(2 day) short_freq = \"({})\".format(pltfreq[beginstr:-1]) except AttributeError: short_freq = \"\" if colors ==","default to False] In case subplots=True, share y axis. colors [optional, default is","500] The number of random subsets of 'bootstrap_size'. norm_xaxis DEPRECATED: use '--type=\"norm_xaxis\"' instead.","number from 0 to 9 that gets the Nth color from the current","weibull_xaxis, and weibull_yaxis. {columns} {start_date} {end_date} {clean} {skiprows} {index_type} {names} {source_units} {target_units} {round_index}","[optional, defaults to None] List of maximum x values to end each vertical","Plot from first good value to last good value. Strips NANs from beginning","False]], 1], # plotting_position=[ # str, # [ # \"domain\", # [\"weibull\", \"benard\",","a list of strings if using the Python API. Separated 'colors', 'linestyles', and","secondary_y axis, should the legend label the axis of the various time-series automatically.","is 'scatter_matrix', this specifies the plot along the diagonal. One of 'kde' for","in the chosen style. At the command line supply a comma separated matplotlib","\" \"] + plotutils.MARKER_LIST], None], # bar_hatchstyles=[str, [\"domain\", [\"auto\", None, \"\", \" \",","if hlines_y is not None: if type in [\"norm_yaxis\", \"lognorm_yaxis\", \"weibull_yaxis\"]: hlines_y =","yaxis=yaxis, xlim=xlim, ylim=ylim, secondary_y=secondary_y, mark_right=mark_right, scatter_matrix_diagonal=scatter_matrix_diagonal, bootstrap_size=bootstrap_size, bootstrap_samples=bootstrap_samples, norm_xaxis=norm_xaxis, norm_yaxis=norm_yaxis, lognorm_xaxis=lognorm_xaxis, lognorm_yaxis=lognorm_yaxis, xy_match_line=xy_match_line,","You supplied '{}' for style which has {} style strings, but you have","a horizontal line. hlines_xmin: [optional, defaults to None] List of minimum x values","str, # [ # \"domain\", # [ # \"classic\", # \"Solarize_Light2\", # \"bmh\",","not None: icolors = itertools.cycle(colors) else: icolors = None imarkerstyles = itertools.cycle(markerstyles) ilinestyles","plt.style.use(plot_styles) figsize = tsutils.make_list(figsize, n=2) _, ax = plt.subplots(figsize=figsize) if type in [\"kde\",","vlines_ymin, vlines_ymax, colors=vlines_colors, linestyles=vlines_linestyles, ) plt.xlabel(xtitle) plt.ylabel(ytitle) if invert_xaxis is True: plt.gca().invert_xaxis() if","single linestyle then will be used as the linestyle for all vertical lines.","50] The size of the random subset for 'bootstrap' plot. bootstrap_samples [optional, defaults","\"seaborn-white\", # \"seaborn-whitegrid\", # \"tableau-colorblind10\", # \"science\", # \"grid\", # \"ieee\", # \"scatter\",","plot. hlines_colors: [optional, defaults to None] List of colors for the horizontal lines.","equal to \"bar\", \"barh\", \"bar_stacked\", and \"barh_stacked\"] If 'auto' will iterate through the","' ' will not plot a marker. If 'auto' will iterate through the","[]], None], # vlines_colors=[str, [\"pass\", []], None], # vlines_linestyles=[ # str, # [\"domain\",","ytitle or \"Density\" if legend is True: plt.legend(loc=\"best\") if hlines_y is not None:","triangle up | +-------+----------------+ | < | triangle left | +-------+----------------+ | >","True or logy is True or norm_xaxis is True or norm_yaxis is True","is None else i for i in markerstyles] if colors is not None:","If 'auto' will iterate through the available matplotlib line types. Otherwise on the","some or all of the characteristics of the previous. Color Blind Appropriate Styles","{clean} {skiprows} {index_type} {names} {source_units} {target_units} {round_index} plot_styles: str [optional, default is \"default\"]","'kde'] If plot type is 'scatter_matrix', this specifies the plot along the diagonal.","default depends on ``type``] Title of y-axis. title : str [optional, defaults to","if icolors is not None: c = next(icolors) else: c = None if","+------------------+ Color reference: http://matplotlib.org/api/colors_api.html linestyles [optional, default to 'auto'] If 'auto' will iterate","+---------+--------------+ | -. | dash_dot | +---------+--------------+ | : | dotted | +---------+--------------+","| +-----------------+-------------------+ | . | dots | +-----------------+-------------------+ | * | stars |","[ \"time\", \"xy\", \"bar\", \"bar_stacked\", \"histogram\", \"norm_xaxis\", \"lognorm_xaxis\", \"weibull_xaxis\", \"norm_yaxis\", \"lognorm_yaxis\", \"weibull_yaxis\", ]:","data set. subplots [optional, defaults to False] Make separate subplots for each time","the horizontal line. If a list must be same length as `hlines_y`. If","# \"grid\", # \"ieee\", # \"scatter\", # \"notebook\", # \"high-vis\", # \"bright\", #","'weibull'] {plotting_position_table} Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. prob_plot_sort_values","| +-------+----------------+ | x | x | +-------+----------------+ | D | diamond |","None will end at the maximum x value for the entire plot. vlines_colors:","up | +-------+----------------+ | < | triangle left | +-------+----------------+ | > |","if i is None else i for i in markerstyles] if colors is",": str [optional, defaults to None] Legend would normally use the time-series names","a space (' ') as the linestyle code. Separated 'colors', 'linestyles', and 'markerstyles'","None: hlines_y = tsutils.make_list(hlines_y) hlines_xmin = tsutils.make_list(hlines_xmin) hlines_xmax = tsutils.make_list(hlines_xmax) hlines_colors = tsutils.make_list(hlines_colors)","plot. hlines_xmax: [optional, defaults to None] List of maximum x values to end","the 'style' option will override the others. Comma separated matplotlib style strings per","colors for the horizontal lines. If a single color then will be used","will return the Matplotlib figure that can then be changed or added to","names associated with the input data. The 'legend_names' option allows you to override","number will be used as the minimum x values for all horizontal lines.","diagonal | +-----------------+-------------------+ | ``|`` | vertical | +-----------------+-------------------+ | - | horizontal","target_units=None, lag_plot_lag=1, plot_styles=\"bright\", hlines_y=None, hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\"-\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\"-\",","except IndexError: linestyles.append(\" \") else: markerstyles.append(\" \") linestyles.append(st[1:]) if linestyles is None: linestyles","figsize=\"10,6.0\", legend=None, legend_names=None, subplots=False, sharex=True, sharey=False, colors=\"auto\", linestyles=\"auto\", markerstyles=\" \", bar_hatchstyles=\"auto\", style=\"auto\", logx=False,","hlines_xmax=[float, [\"pass\", []], None], # hlines_colors=[str, [\"pass\", []], None], # hlines_linestyles=[ # str,","[\"pass\", []], None], # xlim=[float, [\"pass\", []], 2], # ylim=[float, [\"pass\", []], 2],","markerstyles [optional, default to ' '] The default ' ' will not plot","or a list of strings if using the Python API. Separated 'colors', 'linestyles',","stars | +-----------------+-------------------+ logx DEPRECATED: use '--xaxis=\"log\"' instead. logy DEPRECATED: use '--yaxis=\"log\"' instead.","# bootstrap_size=[int, [\"range\", [0, None]], 1], # xy_match_line=[str, [\"pass\", []], 1], # grid=[bool,","instead. logy DEPRECATED: use '--yaxis=\"log\"' instead. xlim [optional, default is based on range","legend=legend, subplots=subplots, sharex=sharex, sharey=sharey, style=None, logx=logx, logy=logy, xlim=xlim, ylim=ylim, secondary_y=secondary_y, figsize=figsize, ) for","plt.title(title) plt.tight_layout() if ofilename is not None: plt.savefig(ofilename) return plt kde.__doc__ = kde_cli.__doc__","import mando import numpy as np import pandas as pd from mando.rst_text_formatter import","limits for the x-axis of the plot. For example, '--xlim 1,1000' would limit","for the manipulation of time series.\"\"\" from __future__ import absolute_import, division, print_function import","from 0 to 9 that gets the Nth color from the current style.","vlines_ymin=vlines_ymin, vlines_ymax=vlines_ymax, vlines_colors=vlines_colors, vlines_linestyles=vlines_linestyles, ) # @tsutils.validator( # ofilename=[str, [\"pass\", []], 1], #","must supply a comma separated list of strings for each time-series in the","default is 'auto'] The default 'auto' will cycle through matplotlib colors in the","| None | draw nothing | +---------+--------------+ | ' ' | draw nothing","a single number will be the maximum x value for all horizontal lines.","number of random subsets of 'bootstrap_size'. norm_xaxis DEPRECATED: use '--type=\"norm_xaxis\"' instead. norm_yaxis DEPRECATED:","of linestyles for the vertical lines. If a single linestyle then will be","styles \"seaborn-colorblind\", \"tableau-colorblind10\", \"bright\", \"vibrant\", and \"muted\" are all styles that are setup","https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_reference.html SciencePlots styles: https://github.com/garrettj403/SciencePlots hlines_y: [optional, defaults to None] Number or list of","will be used as the minimum x values for all horizontal lines. A","[\" \" if i in [\" \", None] else i for i in","marker types. Otherwise on the command line a comma separated list, or a","plt.grid(grid) plt.title(title) plt.tight_layout() if ofilename is not None: plt.savefig(ofilename) return plt kde.__doc__ =","Python API. Separated 'colors', 'linestyles', and 'markerstyles' instead of using the 'style' keyword.","'style' option will override the others. Comma separated matplotlib style strings per time-series.","List of maximum x values to end each horizontal line. If a list","= os.path.join( os.path.dirname(__file__), os.pardir, \"SciencePlots_styles\" ) plot_styles = [ os.path.join(style_loc, i + \".mplstyle\")","None: icolors = itertools.cycle(colors) else: icolors = None imarkerstyles = itertools.cycle(markerstyles) ilinestyles =","import tsutils from .. import plotutils warnings.filterwarnings(\"ignore\") @mando.command(\"kde\", formatter_class=RSTHelpFormatter, doctype=\"numpy\") @tsutils.doc(plotutils.ldocstrings) def kde_cli(","value for the entire plot. vlines_ymax: [optional, defaults to None] List of maximum","= [\" \" if i in [\" \", None] else i for i","as `vlines_x`. If a single number will be used as the minimum x","], # hlines_y=[float, [\"pass\", []], None], # hlines_xmin=[float, [\"pass\", []], None], # hlines_xmax=[float,","logy=logy, xlim=xlim, ylim=ylim, secondary_y=secondary_y, figsize=figsize, ) for index, line in enumerate(ax.lines): if icolors","plotting_position=plotting_position, prob_plot_sort_values=prob_plot_sort_values, source_units=source_units, target_units=target_units, lag_plot_lag=lag_plot_lag, plot_styles=plot_styles, hlines_y=hlines_y, hlines_xmin=hlines_xmin, hlines_xmax=hlines_xmax, hlines_colors=hlines_colors, hlines_linestyles=hlines_linestyles, vlines_x=vlines_x, vlines_ymin=vlines_ymin,","default is 'descending'] How to sort the values for the probability plots. Only","'ColorMarkerLine' order, for example 'r*--' is a red dashed line with star marker.","https://github.com/garrettj403/SciencePlots hlines_y: [optional, defaults to None] Number or list of y values where","-*- coding: utf-8 -*- \"\"\"Collection of functions for the manipulation of time series.\"\"\"","[ os.path.join(style_loc, i + \".mplstyle\") if os.path.exists(os.path.join(style_loc, i + \".mplstyle\")) else i for","of the previous. Color Blind Appropriate Styles The styles \"seaborn-colorblind\", \"tableau-colorblind10\", \"bright\", \"vibrant\",","nxlim = ax.get_xlim() if hlines_xmin is None: hlines_xmin = nxlim[0] if hlines_xmax is","a plot of estimation of the probability density function based on the data","data.\"\"\" # Need to work around some old option defaults with the implementation","= \"kde\" import matplotlib matplotlib.use(\"Agg\") import matplotlib.pyplot as plt from matplotlib.ticker import FixedLocator","\"lognorm_xaxis\", \"weibull_xaxis\", \"norm_yaxis\", \"lognorm_yaxis\", \"weibull_yaxis\", ]: if hlines_y is not None: if type","in [\"norm_yaxis\", \"lognorm_yaxis\", \"weibull_yaxis\"]: hlines_y = ppf(tsutils.make_list(hlines_y)) plt.hlines( hlines_y, hlines_xmin, hlines_xmax, colors=hlines_colors, linestyles=hlines_linestyles,","Nth color from the current style. 2. Single character code from the table","single color then will be used as the color for all vertical lines.","[optional, defaults to 50] The size of the random subset for 'bootstrap' plot.","the Python API. To not display lines use a space (' ') as","short_freq = \"\" else: # short freq string (day) OR (2 day) short_freq","type of the yaxis. One of 'arithmetic', 'log'. secondary_y [optional, default is False]",".. import plotutils warnings.filterwarnings(\"ignore\") @mando.command(\"kde\", formatter_class=RSTHelpFormatter, doctype=\"numpy\") @tsutils.doc(plotutils.ldocstrings) def kde_cli( input_ts=\"-\", columns=None, start_date=None,","linestyles.append(st[2:]) except IndexError: linestyles.append(\" \") else: markerstyles.append(\" \") linestyles.append(st[1:]) if linestyles is None:","names. +------------------+ | HTML Color Names | +==================+ | red | +------------------+ |","+-------+----------------+ | x | x | +-------+----------------+ | D | diamond | +-------+----------------+","that are setup to be able to be distinguished by someone with color","vlines_ymax is None: vlines_ymax = nylim[1] if type in [ \"time\", \"xy\", \"bar\",","# None, # ], # ) def kde( input_ts=\"-\", columns=None, start_date=None, end_date=None, clean=False,","entire plot. hlines_xmax: [optional, defaults to None] List of maximum x values to","# hlines_colors=[str, [\"pass\", []], None], # hlines_linestyles=[ # str, # [\"domain\", [\"auto\", None,","hlines_xmax, colors=hlines_colors, linestyles=hlines_linestyles, ) if vlines_x is not None: if type in [\"norm_xaxis\",","= itertools.cycle(linestyles) # Only for bar, barh, bar_stacked, and barh_stacked. ibar_hatchstyles = itertools.cycle(bar_hatchstyles)","The default ' ' will not plot a marker. If 'auto' will iterate","| o | small circle | +-----------------+-------------------+ | O | large circle |","the command line supply a comma separated matplotlib color codes, or within Python","[\"range\", [0, None]], 2], # legend=[bool, [\"domain\", [True, False]], 1], # legend_names=[str, [\"pass\",","+-----------------+-------------------+ | + | crossed | +-----------------+-------------------+ | x | crossed diagonal |","is None: hlines_xmin = nxlim[0] if hlines_xmax is None: hlines_xmax = nxlim[1] if","for all vertical lines. A missing value or None will end at the","is None] Still available, but if None is replaced by 'colors', 'linestyles', and","\"muted\", # \"retro\", # ], # ], # None, # ], # hlines_y=[float,","The lag used if ``type`` \"lag_plot\" is chosen. xtitle : str [optional, default","plots. Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. {columns} {start_date}","1], # ytitle=[str, [\"pass\", []], 1], # title=[str, [\"pass\", []], 1], # figsize=[float,","``type`` \"lag_plot\" is chosen. xtitle : str [optional, default depends on ``type``] Title","\" if style != \"auto\": nstyle = tsutils.make_list(style) if len(nstyle) != len(tsd.columns): raise","circle | +-----------------+-------------------+ | . | dots | +-----------------+-------------------+ | * | stars","[optional, default depends on ``type``] Title of y-axis. title : str [optional, defaults","is maintained for backward-compatibility. ACCEPTS:: ['default' | 'steps' | 'steps-pre' | 'steps-mid' |","values to end each horizontal line. If a list must be same length","will end at the maximum x value for the entire plot. vlines_colors: [optional,","'colors', 'linestyles', and 'markerstyles' instead of using the 'style' keyword. +---------+--------------+ | Code","itertools import os import warnings import mando import numpy as np import pandas","[optional, default to 'auto'] If 'auto' will iterate through the available matplotlib line","\"log\"]], 1], # yaxis=[str, [\"domain\", [\"arithmetic\", \"log\"]], 1], # secondary_y=[bool, [\"domain\", [True, False]],","a list must be same length as `vlines_x`. If a single number will","markerstyles=[str, [\"domain\", [\"auto\", None, \"\", \" \", \" \"] + plotutils.MARKER_LIST], None], #","title=\"\", figsize=\"10,6.0\", legend=None, legend_names=None, subplots=False, sharex=True, sharey=False, colors=\"auto\", linestyles=\"auto\", markerstyles=\" \", bar_hatchstyles=\"auto\", style=\"auto\",","\"high-vis\", # \"bright\", # \"vibrant\", # \"muted\", # \"retro\", # ], # ],","if len(nstyle) != len(tsd.columns): raise ValueError( tsutils.error_wrapper( \"\"\" You have to have the","to plot. You supplied '{}' for style which has {} style strings, but","around some old option defaults with the implementation of # mando legend =","x value for the entire plot. hlines_xmax: [optional, defaults to None] List of","For --lognorm_yaxis use --type=\"lognorm_yaxis\" * \"\"\" ) if xaxis == \"log\": logx =",": str [optional, defaults is ''] Will add a match line where x","# [ # \"domain\", # [\"weibull\", \"benard\", \"tukey\", \"gumbel\", \"hazen\", \"cunnane\", \"california\"], #","len(st) == 1: markerstyles.append(\" \") linestyles.append(\"-\") continue if st[1] in plotutils.MARKER_LIST: markerstyles.append(st[1]) try:","False]], 1], # sharex=[bool, [\"domain\", [True, False]], 1], # sharey=[bool, [\"domain\", [True, False]],","\"seaborn-dark\", # \"seaborn-dark-palette\", # \"seaborn-darkgrid\", # \"seaborn-deep\", # \"seaborn-muted\", # \"seaborn-notebook\", # \"seaborn-paper\",","if pltfreq.split(\" \")[0][1:] == \"1\": beginstr = 3 else: beginstr = 1 if","tsutils.make_list(vlines_ymax) vlines_colors = tsutils.make_list(vlines_colors) vlines_linestyles = tsutils.make_list(vlines_linestyles) nylim = ax.get_ylim() if vlines_ymin is","the plot. See `xlim` for examples. xaxis : str [optional, default is 'arithmetic']","scatter_matrix_diagonal : str [optional, defaults to 'kde'] If plot type is 'scatter_matrix', this","r | red | +------+---------+ | c | cyan | +------+---------+ | m","logx is True or logy is True or norm_xaxis is True or norm_yaxis","options. Currently the 'style' option will override the others. Comma separated matplotlib style","as `vlines_x`. If None will take for the standard linestyles list. \"\"\" plt","itertools.cycle(linestyles) # Only for bar, barh, bar_stacked, and barh_stacked. ibar_hatchstyles = itertools.cycle(bar_hatchstyles) if","# invert_yaxis=[bool, [\"domain\", [True, False]], 1], # plotting_position=[ # str, # [ #","and 'markerstyles' instead of using the 'style' keyword. +-------+----------------+ | Code | Markers","replaced by 'colors', 'linestyles', and 'markerstyles' options. Currently the 'style' option will override","| +-----------------+-------------------+ | - | horizontal | +-----------------+-------------------+ | + | crossed |","--norm_xaxis, --norm_yaxis, --lognorm_xaxis, and * --lognorm_yaxis options are deprecated. * * For --logx","| None | nothing | +-------+----------------+ | ' ' | nothing | +-------+----------------+","[optional, defaults to None] List of minimum y values to start the vertical","Kernel Density Estimation or 'hist' for a histogram. bootstrap_size : int [optional, defaults","\"scatter\", # \"notebook\", # \"high-vis\", # \"bright\", # \"vibrant\", # \"muted\", # \"retro\",","# sharey=[bool, [\"domain\", [True, False]], 1], # colors=[str, [\"pass\", []], None], # linestyles=[str,","chart. figsize : str [optional, defaults to '10,6.5'] The 'width,height' of plot in","| 8 | octagon | +-------+----------------+ | s | square | +-------+----------------+ |","FixedLocator tsd = tsutils.common_kwds( input_ts, skiprows=skiprows, names=names, index_type=index_type, start_date=start_date, end_date=end_date, pick=columns, round_index=round_index, dropna=\"all\",","= itertools.cycle(bar_hatchstyles) if ( logx is True or logy is True or norm_xaxis","---------- {input_ts} ofilename : str [optional, defaults to 'plot.png'] Output filename for the","and end. {force_freq} invert_xaxis [optional, default is False] Invert the x-axis. invert_yaxis [optional,","else: linestyles = [\" \" if i in [\" \", None] else i","+-----------------+-------------------+ | - | horizontal | +-----------------+-------------------+ | + | crossed | +-----------------+-------------------+","2], # xaxis=[str, [\"domain\", [\"arithmetic\", \"log\"]], 1], # yaxis=[str, [\"domain\", [\"arithmetic\", \"log\"]], 1],","all vertical lines. If a list must be same length as `vlines_x`. If","length as `hlines_y`. If a single number will be the maximum x value","list must be same length as `vlines_x`. If None will take from the","case subplots=True, share y axis. colors [optional, default is 'auto'] The default 'auto'","\"weibull_xaxis\"]: vlines_x = ppf(tsutils.make_list(vlines_x)) plt.vlines( vlines_x, vlines_ymin, vlines_ymax, colors=vlines_colors, linestyles=vlines_linestyles, ) plt.xlabel(xtitle) plt.ylabel(ytitle)","k | black | +------+---------+ 3. Number between 0 and 1 that represents","reference: http://matplotlib.org/api/colors_api.html linestyles [optional, default to 'auto'] If 'auto' will iterate through the","| 4 | tri_right | +-------+----------------+ | 8 | octagon | +-------+----------------+ |","comma separated matplotlib color codes, or within Python a list of color code","same length as `hlines_y`. If None will take for the standard linestyles list.","chart size to fit in a column of the \"IEEE\" journal. The \"grayscale\"","minimum x value for the entire plot. vlines_ymax: [optional, defaults to None] List","pallette in the current plot style. vlines_linestyles: [optional, defaults to None] List of","through the available matplotlib line types. Otherwise on the command line a comma","| yellow | +------+---------+ | k | black | +------+---------+ 3. Number between","[True, False]], 1], # invert_xaxis=[bool, [\"domain\", [True, False]], 1], # invert_yaxis=[bool, [\"domain\", [True,","= [] linestyles = [] for st in nstyle: colors.append(st[0]) if len(st) ==","entire plot. hlines_colors: [optional, defaults to None] List of colors for the horizontal","For --logy use --yaxis=\"log\" * For --norm_xaxis use --type=\"norm_xaxis\" * For --norm_yaxis use","that can then be changed or added to as needed. lag_plot_lag [optional, default","import plotutils warnings.filterwarnings(\"ignore\") @mando.command(\"kde\", formatter_class=RSTHelpFormatter, doctype=\"numpy\") @tsutils.doc(plotutils.ldocstrings) def kde_cli( input_ts=\"-\", columns=None, start_date=None, end_date=None,","i for i in plot_styles ] plt.style.use(plot_styles) figsize = tsutils.make_list(figsize, n=2) _, ax","plotting_position : str [optional, default is 'weibull'] {plotting_position_table} Only used for norm_xaxis, norm_yaxis,","triangle right | +-------+----------------+ | 1 | tri_down | +-------+----------------+ | 2 |",": int [optional, defaults to 50] The size of the random subset for","| '' | draw nothing | +---------+--------------+ Line reference: http://matplotlib.org/api/artist_api.html markerstyles [optional, default","+==================+ | red | +------------------+ | burlywood | +------------------+ | chartreuse | +------------------+","the legend label the axis of the various time-series automatically. scatter_matrix_diagonal : str","Any of the HTML color names. +------------------+ | HTML Color Names | +==================+","None] List of minimum y values to start the vertical line. If a","manipulation of time series.\"\"\" from __future__ import absolute_import, division, print_function import itertools import","hlines_y=[float, [\"pass\", []], None], # hlines_xmin=[float, [\"pass\", []], None], # hlines_xmax=[float, [\"pass\", []],","= tsutils.make_list(hlines_xmin) hlines_xmax = tsutils.make_list(hlines_xmax) hlines_colors = tsutils.make_list(hlines_colors) hlines_linestyles = tsutils.make_list(hlines_linestyles) nxlim =","Line reference: http://matplotlib.org/api/artist_api.html markerstyles [optional, default to ' '] The default ' '","\"seaborn\", # \"seaborn-bright\", # \"seaborn-colorblind\", # \"seaborn-dark\", # \"seaborn-dark-palette\", # \"seaborn-darkgrid\", # \"seaborn-deep\",","of 'bootstrap_size'. norm_xaxis DEPRECATED: use '--type=\"norm_xaxis\"' instead. norm_yaxis DEPRECATED: use '--type=\"norm_yaxis\"' instead. lognorm_xaxis","for index, line in enumerate(ax.lines): if icolors is not None: c = next(icolors)","entire plot. vlines_ymax: [optional, defaults to None] List of maximum x values to","| d | thin diamond | +-------+----------------+ | _ | hlines_y | +-------+----------------+","hlines_xmin: [optional, defaults to None] List of minimum x values to start the","+---------+--------------+ Line reference: http://matplotlib.org/api/artist_api.html markerstyles [optional, default to ' '] The default '","represents the level of gray, where 0 is white an 1 is black.","time-series. Just combine codes in 'ColorMarkerLine' order, for example 'r*--' is a red","is a number from 0 to 9 that gets the Nth color from","\"auto\": colors = None else: colors = tsutils.make_list(colors) if linestyles == \"auto\": linestyles","SciencePlots styles \"science\", \"grid\", \"ieee\", \"scatter\", \"notebook\", \"high-vis\", \"bright\", \"vibrant\", \"muted\", and \"retro\".","the Matplotlib figure that can then be changed or added to as needed.","if xaxis == \"log\": logx = True if yaxis == \"log\": logy =","= nylim[0] if vlines_ymax is None: vlines_ymax = nylim[1] if type in [","str [optional, defaults to ''] Title of chart. figsize : str [optional, defaults","Will add a match line where x == y. Set to a line","icolors is not None: c = next(icolors) else: c = None if imarkerstyles","--logx use --xaxis=\"log\" * For --logy use --yaxis=\"log\" * For --norm_xaxis use --type=\"norm_xaxis\"","ax.get_ylim() if vlines_ymin is None: vlines_ymin = nylim[0] if vlines_ymax is None: vlines_ymax","size of the random subset for 'bootstrap' plot. bootstrap_samples [optional, defaults to 500]","| +------------------+ | ...etc. | +------------------+ Color reference: http://matplotlib.org/api/colors_api.html linestyles [optional, default to","\"\"\" plt = kde( input_ts=input_ts, columns=columns, start_date=start_date, end_date=end_date, clean=clean, skiprows=skiprows, index_type=index_type, names=names, ofilename=ofilename,","number will be the maximum x value for all vertical lines. A missing","'linestyles', and 'markerstyles' instead of using the 'style' keyword. +-------+----------------+ | Code |","use --xaxis=\"log\" * For --logy use --yaxis=\"log\" * For --norm_xaxis use --type=\"norm_xaxis\" *","'--type=\"lognorm_yaxis\"' instead. xy_match_line : str [optional, defaults is ''] Will add a match","nothing | +-------+----------------+ | '' | nothing | +-------+----------------+ Marker reference: http://matplotlib.org/api/markers_api.html style","yaxis. One of 'arithmetic', 'log'. secondary_y [optional, default is False] Whether to plot","or list of y values where to place a horizontal line. hlines_xmin: [optional,","If 'auto' will iterate through the available matplotlib marker types. Otherwise on the","+=================+===================+ | / | diagonal hatching | +-----------------+-------------------+ | ``\\`` | back diagonal","at the minimum x value for the entire plot. hlines_xmax: [optional, defaults to","list of strings if using the Python API. Separated 'colors', 'linestyles', and 'markerstyles'","[optional, defaults to None] List of x values where to place a vertical","sharex=True, sharey=False, colors=\"auto\", linestyles=\"auto\", markerstyles=\" \", bar_hatchstyles=\"auto\", style=\"auto\", logx=False, logy=False, xaxis=\"arithmetic\", yaxis=\"arithmetic\", xlim=None,","index_type=\"datetime\", names=None, ofilename=\"plot.png\", xtitle=\"\", ytitle=\"\", title=\"\", figsize=\"10,6.0\", legend=None, legend_names=None, subplots=False, sharex=True, sharey=False, colors=\"auto\",","| - | horizontal | +-----------------+-------------------+ | + | crossed | +-----------------+-------------------+ |","\", \" \"] + plotutils.HATCH_LIST], None], # style=[str, [\"pass\", []], None], # xlim=[float,","Matplotlib styles \"classic\", \"Solarize_Light2\", \"bmh\", \"dark_background\", \"fast\", \"fivethirtyeight\", \"ggplot\", \"grayscale\", \"seaborn\", \"seaborn-bright\", \"seaborn-colorblind\",","as `hlines_y`. If None will take for the standard linestyles list. vlines_x: [optional,","# legend_names=[str, [\"pass\", []], 1], # subplots=[bool, [\"domain\", [True, False]], 1], # sharex=[bool,","blue | +------+---------+ | g | green | +------+---------+ | r | red","# \"seaborn-whitegrid\", # \"tableau-colorblind10\", # \"science\", # \"grid\", # \"ieee\", # \"scatter\", #","to 'kde'] If plot type is 'scatter_matrix', this specifies the plot along the","= tsutils.make_list(style) if len(nstyle) != len(tsd.columns): raise ValueError( tsutils.error_wrapper( \"\"\" You have to","however the \"ieee\" also will change the chart size to fit in a","# ], # None, # ], # hlines_y=[float, [\"pass\", []], None], # hlines_xmin=[float,","# yaxis=[str, [\"domain\", [\"arithmetic\", \"log\"]], 1], # secondary_y=[bool, [\"domain\", [True, False]], 1], #","density estimation (KDE). {ydata} Parameters ---------- {input_ts} ofilename : str [optional, defaults to","List of linestyles for the vertical lines. If a single linestyle then will","if yaxis == \"log\": logy = True xlim = plotutils.know_your_limits(xlim, axis=xaxis) ylim =","= itertools.cycle(colors) else: icolors = None imarkerstyles = itertools.cycle(markerstyles) ilinestyles = itertools.cycle(linestyles) #","--yaxis=\"log\" * For --norm_xaxis use --type=\"norm_xaxis\" * For --norm_yaxis use --type=\"norm_yaxis\" * For","match line where x == y. Set to a line style code. grid","to end each vertical line. If a list must be same length as","imarkerstyles = itertools.cycle(markerstyles) ilinestyles = itertools.cycle(linestyles) # Only for bar, barh, bar_stacked, and","some old option defaults with the implementation of # mando legend = bool(legend","hlines_xmax: [optional, defaults to None] List of maximum x values to end each","not None: hlines_y = tsutils.make_list(hlines_y) hlines_xmin = tsutils.make_list(hlines_xmin) hlines_xmax = tsutils.make_list(hlines_xmax) hlines_colors =","'--xaxis=\"log\"' instead. logy DEPRECATED: use '--yaxis=\"log\"' instead. xlim [optional, default is based on","\"lag_plot\" is chosen. xtitle : str [optional, default depends on ``type``] Title of","+-----------------+-------------------+ | x | crossed diagonal | +-----------------+-------------------+ | o | small circle","pallette in the current plot style. hlines_linestyles: [optional, defaults to None] List of","from .. import plotutils warnings.filterwarnings(\"ignore\") @mando.command(\"kde\", formatter_class=RSTHelpFormatter, doctype=\"numpy\") @tsutils.doc(plotutils.ldocstrings) def kde_cli( input_ts=\"-\", columns=None,","matplotlib style strings per time-series. Just combine codes in 'ColorMarkerLine' order, for example","drawstyle=\"default\", por=False, invert_xaxis=False, invert_yaxis=False, round_index=None, plotting_position=\"weibull\", prob_plot_sort_values=\"descending\", source_units=None, target_units=None, lag_plot_lag=1, plot_styles=\"bright\", hlines_y=None, hlines_xmin=None,","probability plots. Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. {columns}","[\"pass\", []], 1], # title=[str, [\"pass\", []], 1], # figsize=[float, [\"range\", [0, None]],","| bar_hatchstyles | Description | +=================+===================+ | / | diagonal hatching | +-----------------+-------------------+","# drawstyle=[str, [\"pass\", []], 1], # por=[bool, [\"domain\", [True, False]], 1], # invert_xaxis=[bool,","None, # ], # hlines_y=[float, [\"pass\", []], None], # hlines_xmin=[float, [\"pass\", []], None],","of # mando legend = bool(legend == \"\" or legend == \"True\" or","== 1: markerstyles.append(\" \") linestyles.append(\"-\") continue if st[1] in plotutils.MARKER_LIST: markerstyles.append(st[1]) try: linestyles.append(st[2:])","the available matplotlib line types. Otherwise on the command line a comma separated","Still available, but if None is replaced by 'colors', 'linestyles', and 'markerstyles' options.","lower and upper limits for the x-axis of the plot. For example, '--xlim","plot type is 'scatter_matrix', this specifies the plot along the diagonal. One of","bar_hatchstyles | Description | +=================+===================+ | / | diagonal hatching | +-----------------+-------------------+ |","be the maximum x value for all horizontal lines. A missing value or","\"seaborn-pastel\", # \"seaborn-poster\", # \"seaborn-talk\", # \"seaborn-ticks\", # \"seaborn-white\", # \"seaborn-whitegrid\", # \"tableau-colorblind10\",","the plot. Extension defines the type, for example 'filename.png' will create a PNG","limits for the y-axis of the plot. See `xlim` for examples. xaxis :","\"auto\", only used if type equal to \"bar\", \"barh\", \"bar_stacked\", and \"barh_stacked\"] If","\"fast\", \"fivethirtyeight\", \"ggplot\", \"grayscale\", \"seaborn\", \"seaborn-bright\", \"seaborn-colorblind\", \"seaborn-dark\", \"seaborn-dark-palette\", \"seaborn-darkgrid\", \"seaborn-deep\", \"seaborn-muted\", \"seaborn-notebook\",","xaxis == \"log\": logx = True if yaxis == \"log\": logy = True","Python, and `ofilename` is None will return the Matplotlib figure that can then","legend [optional, defaults to True] Whether to display the legend. legend_names : str","is None: vlines_ymin = nylim[0] if vlines_ymax is None: vlines_ymax = nylim[1] if","defaults to None] List of maximum x values to end each vertical line.","]: if hlines_y is not None: if type in [\"norm_yaxis\", \"lognorm_yaxis\", \"weibull_yaxis\"]: hlines_y","(day) OR (2 day) short_freq = \"({})\".format(pltfreq[beginstr:-1]) except AttributeError: short_freq = \"\" if","figsize = tsutils.make_list(figsize, n=2) _, ax = plt.subplots(figsize=figsize) if type in [\"kde\", \"probability_density\"]:","marker=m) plt.setp(line, linestyle=l) ytitle = ytitle or \"Density\" if legend is True: plt.legend(loc=\"best\")","Matplotlib styles: https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_reference.html SciencePlots styles: https://github.com/garrettj403/SciencePlots hlines_y: [optional, defaults to None] Number or","along the diagonal. One of 'kde' for Kernel Density Estimation or 'hist' for","line style code. grid [optional, default is False] Whether to plot grid lines","None] List of linestyles for the horizontal lines. If a single linestyle then",") for index, line in enumerate(ax.lines): if icolors is not None: c =","plot of estimation of the probability density function based on the data called","upper limit to 1000. ylim [optional, default is based on range of y","dots | +-----------------+-------------------+ | * | stars | +-----------------+-------------------+ logx DEPRECATED: use '--xaxis=\"log\"'","the available matplotlib marker types. Otherwise on the command line a comma separated","') as the linestyle code. Separated 'colors', 'linestyles', and 'markerstyles' instead of using","dash_dot | +---------+--------------+ | : | dotted | +---------+--------------+ | None | draw","None will take for the standard linestyles list. vlines_x: [optional, defaults to None]","using the Python API. To not display lines use a space (' ')","length as `vlines_x`. If a single number will be the maximum x value","with the implementation of # mando legend = bool(legend == \"\" or legend","] plt.style.use(plot_styles) figsize = tsutils.make_list(figsize, n=2) _, ax = plt.subplots(figsize=figsize) if type in","color then will be used as the color for all horizontal lines. If","tri_down | +-------+----------------+ | 2 | tri_up | +-------+----------------+ | 3 | tri_left","inches. legend [optional, defaults to True] Whether to display the legend. legend_names :","short_freq = \"({})\".format(pltfreq[beginstr:-1]) except AttributeError: short_freq = \"\" if colors == \"auto\": colors","same length as `vlines_x`. If None will take for the standard linestyles list.","default ' ' will not plot a marker. If 'auto' will iterate through","length as `vlines_x`. If a single number will be used as the minimum","ofilename=[str, [\"pass\", []], 1], # type=[str, [\"domain\", [\"kde\",],], 1,], # lag_plot_lag=[int, [\"range\", [1,","i in linestyles] markerstyles = [\" \" if i is None else i","the maximum x value for all vertical lines. A missing value or None","str(tsd.index.freq).lower() if pltfreq.split(\" \")[0][1:] == \"1\": beginstr = 3 else: beginstr = 1","the minimum x values for all vertical lines. A missing value or None","'style' keyword. +-------+----------------+ | Code | Markers | +=======+================+ | . | point","subplots for each time series. sharex [optional, default to True] In case subplots=True,","# Only for bar, barh, bar_stacked, and barh_stacked. ibar_hatchstyles = itertools.cycle(bar_hatchstyles) if (","[True, False]], 1], # sharey=[bool, [\"domain\", [True, False]], 1], # colors=[str, [\"pass\", []],","skiprows=skiprows, names=names, index_type=index_type, start_date=start_date, end_date=end_date, pick=columns, round_index=round_index, dropna=\"all\", source_units=source_units, target_units=target_units, clean=clean, por=por, )","| x | +-------+----------------+ | D | diamond | +-------+----------------+ | d |","default 'auto' will cycle through matplotlib colors in the chosen style. At the","Invert the y-axis. plotting_position : str [optional, default is 'weibull'] {plotting_position_table} Only used","[] markerstyles = [] linestyles = [] for st in nstyle: colors.append(st[0]) if","or logy is True or norm_xaxis is True or norm_yaxis is True or","doctype=\"numpy\") @tsutils.doc(plotutils.ldocstrings) def kde_cli( input_ts=\"-\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\"datetime\", names=None, ofilename=\"plot.png\",","= nylim[1] if type in [ \"time\", \"xy\", \"bar\", \"bar_stacked\", \"histogram\", \"norm_xaxis\", \"lognorm_xaxis\",","\"seaborn-colorblind\", # \"seaborn-dark\", # \"seaborn-dark-palette\", # \"seaborn-darkgrid\", # \"seaborn-deep\", # \"seaborn-muted\", # \"seaborn-notebook\",","+-------+----------------+ Marker reference: http://matplotlib.org/api/markers_api.html style [optional, default is None] Still available, but if","the type of the xaxis. One of 'arithmetic', 'log'. yaxis : str [optional,","weibull_yaxis. prob_plot_sort_values : str [optional, default is 'descending'] How to sort the values","a list must be same length as `hlines_y`. If None will take from","[True, False]], 1], # plotting_position=[ # str, # [ # \"domain\", # [\"weibull\",","List of minimum x values to start the horizontal line. If a list","in nstyle: colors.append(st[0]) if len(st) == 1: markerstyles.append(\" \") linestyles.append(\"-\") continue if st[1]","associated with the input data. The 'legend_names' option allows you to override the","base the lower limit on the data and set the upper limit to","names=names, ofilename=ofilename, xtitle=xtitle, ytitle=ytitle, title=title, figsize=figsize, legend=legend, legend_names=legend_names, subplots=subplots, sharex=sharex, sharey=sharey, colors=colors, linestyles=linestyles,","'--type=\"lognorm_xaxis\"' instead. lognorm_yaxis DEPRECATED: use '--type=\"lognorm_yaxis\"' instead. xy_match_line : str [optional, defaults is","l = next(ilinestyles) else: l = None if c is not None: plt.setp(line,","| +-------+----------------+ | D | diamond | +-------+----------------+ | d | thin diamond","\"ieee\" also will change the chart size to fit in a column of","+-------+----------------+ | 3 | tri_left | +-------+----------------+ | 4 | tri_right | +-------+----------------+","will create a plot of estimation of the probability density function based on","linestyles list. \"\"\" plt = kde( input_ts=input_ts, columns=columns, start_date=start_date, end_date=end_date, clean=clean, skiprows=skiprows, index_type=index_type,","clean=clean, skiprows=skiprows, index_type=index_type, names=names, ofilename=ofilename, xtitle=xtitle, ytitle=ytitle, title=title, figsize=figsize, legend=legend, legend_names=legend_names, subplots=subplots, sharex=sharex,","as `hlines_y`. If None will take from the color pallette in the current","--lognorm_yaxis use --type=\"lognorm_yaxis\" * \"\"\" ) if xaxis == \"log\": logx = True","of the various time-series automatically. scatter_matrix_diagonal : str [optional, defaults to 'kde'] If","weibull_xaxis, and weibull_yaxis. prob_plot_sort_values : str [optional, default is 'descending'] How to sort","# ], # 1, # ], # prob_plot_sort_values=[str, [\"domain\", [\"ascending\", \"descending\"]], 1], #","[optional, default depends on ``type``] Title of x-axis. ytitle : str [optional, default","linestyles [optional, default to 'auto'] If 'auto' will iterate through the available matplotlib","+-------+----------------+ | ' ' | nothing | +-------+----------------+ | '' | nothing |","False]], 1], # sharey=[bool, [\"domain\", [True, False]], 1], # colors=[str, [\"pass\", []], None],","style is appropriate for black, white, and gray, however the \"ieee\" also will","[\"domain\", [True, False]], 1], # scatter_matrix_diagonal=[str, [\"domain\", [\"kde\", \"hist\"]], 1], # bootstrap_size=[int, [\"range\",","To not display lines use a space (' ') as the linestyle code.","figsize=[float, [\"range\", [0, None]], 2], # legend=[bool, [\"domain\", [True, False]], 1], # legend_names=[str,","{ydata} Parameters ---------- {input_ts} ofilename : str [optional, defaults to 'plot.png'] Output filename","\", \" \"] + plotutils.LINE_LIST], None], # markerstyles=[str, [\"domain\", [\"auto\", None, \"\", \"","Skip for major labels for bar plots. drawstyle : str [optional, default is","within Python, and `ofilename` is None will return the Matplotlib figure that can","all vertical lines. A missing value or None will end at the maximum","| k | black | +------+---------+ 3. Number between 0 and 1 that","on range of y values] Comma separated lower and upper limits for the","the Python API. Separated 'colors', 'linestyles', and 'markerstyles' instead of using the 'style'","as `hlines_y`. If a single number will be used as the minimum x","# \"science\", # \"grid\", # \"ieee\", # \"scatter\", # \"notebook\", # \"high-vis\", #","\"seaborn-colorblind\", \"seaborn-dark\", \"seaborn-dark-palette\", \"seaborn-darkgrid\", \"seaborn-deep\", \"seaborn-muted\", \"seaborn-notebook\", \"seaborn-paper\", \"seaborn-pastel\", \"seaborn-poster\", \"seaborn-talk\", \"seaborn-ticks\", \"seaborn-white\",","\"classic\", # \"Solarize_Light2\", # \"bmh\", # \"dark_background\", # \"fast\", # \"fivethirtyeight\", # \"ggplot\",","None], # hlines_xmin=[float, [\"pass\", []], None], # hlines_xmax=[float, [\"pass\", []], None], # hlines_colors=[str,","use '--type=\"norm_yaxis\"' instead. lognorm_xaxis DEPRECATED: use '--type=\"lognorm_xaxis\"' instead. lognorm_yaxis DEPRECATED: use '--type=\"lognorm_yaxis\"' instead.","have to have the same number of style strings as time-series to plot.","instead. xlim [optional, default is based on range of x values] Comma separated","+=======+================+ | . | point | +-------+----------------+ | o | circle | +-------+----------------+","useful for photo-copyable black, white, nd gray. Matplotlib styles: https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_reference.html SciencePlots styles: https://github.com/garrettj403/SciencePlots","matplotlib.pyplot as plt from matplotlib.ticker import FixedLocator tsd = tsutils.common_kwds( input_ts, skiprows=skiprows, names=names,","to end each horizontal line. If a list must be same length as","subplots=True, share x axis. sharey [optional, default to False] In case subplots=True, share","default to 'auto'] If 'auto' will iterate through the available matplotlib line types.","| +-------+----------------+ | ``+`` | plus | +-------+----------------+ | x | x |","available matplotlib line types. Otherwise on the command line a comma separated list,","values] Comma separated lower and upper limits for the y-axis of the plot.","+-------+----------------+ | p | pentagon | +-------+----------------+ | ``*`` | star | +-------+----------------+","White, and Gray Styles The \"ieee\" style is appropriate for black, white, and","' will not plot a marker. If 'auto' will iterate through the available","np import pandas as pd from mando.rst_text_formatter import RSTHelpFormatter from tstoolbox import tsutils","example, '--xlim 1,1000' would limit the plot from 1 to 1000, where '--xlim","not plot a marker. If 'auto' will iterate through the available matplotlib marker","'' | draw nothing | +---------+--------------+ Line reference: http://matplotlib.org/api/artist_api.html markerstyles [optional, default to","in the data set. You must supply a comma separated list of strings","on the data and set the upper limit to 1000. ylim [optional, default","series.\"\"\" from __future__ import absolute_import, division, print_function import itertools import os import warnings","dropna=\"all\", source_units=source_units, target_units=target_units, clean=clean, por=por, ) tsd, lnames = plotutils.check(type, tsd, legend_names) #","+-----------------+-------------------+ logx DEPRECATED: use '--xaxis=\"log\"' instead. logy DEPRECATED: use '--yaxis=\"log\"' instead. xlim [optional,","the chosen style. At the command line supply a comma separated matplotlib color","in the current plot style. hlines_linestyles: [optional, defaults to None] List of linestyles","\"log\": logy = True xlim = plotutils.know_your_limits(xlim, axis=xaxis) ylim = plotutils.know_your_limits(ylim, axis=yaxis) plot_styles","None if c is not None: plt.setp(line, color=c) plt.setp(line, marker=m) plt.setp(line, linestyle=l) ytitle","each horizontal line. If a list must be same length as `hlines_y`. If","= tsutils.make_list(hlines_y) hlines_xmin = tsutils.make_list(hlines_xmin) hlines_xmax = tsutils.make_list(hlines_xmax) hlines_colors = tsutils.make_list(hlines_colors) hlines_linestyles =","None] List of linestyles for the vertical lines. If a single linestyle then","True or norm_yaxis is True or lognorm_xaxis is True or lognorm_yaxis is True","labels for bar plots. drawstyle : str [optional, default is 'default'] 'default' connects","None], # xlim=[float, [\"pass\", []], 2], # ylim=[float, [\"pass\", []], 2], # xaxis=[str,","`vlines_x`. If a single number will be used as the minimum x values","| hexagon2 | +-------+----------------+ | ``+`` | plus | +-------+----------------+ | x |","hlines_colors=None, hlines_linestyles=\"-\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\"-\", **kwds, ): r\"\"\"Plot data.\"\"\" # Need","linestyles is None: linestyles = [\" \"] else: linestyles = [\" \" if","xaxis=[str, [\"domain\", [\"arithmetic\", \"log\"]], 1], # yaxis=[str, [\"domain\", [\"arithmetic\", \"log\"]], 1], # secondary_y=[bool,","end at the maximum x value for the entire plot. vlines_colors: [optional, defaults","but if None is replaced by 'colors', 'linestyles', and 'markerstyles' options. Currently the","where x == y. Set to a line style code. grid [optional, default","to 1000, where '--xlim ,1000' would base the lower limit on the data","tsutils.common_kwds( input_ts, skiprows=skiprows, names=names, index_type=index_type, start_date=start_date, end_date=end_date, pick=columns, round_index=round_index, dropna=\"all\", source_units=source_units, target_units=target_units, clean=clean,","plot on secondary y-axis. mark_right [optional, default is True] When using a secondary_y","Styles The \"ieee\" style is appropriate for black, white, and gray, however the","is appropriate for black, white, and gray, however the \"ieee\" also will change","hlines_linestyles=hlines_linestyles, vlines_x=vlines_x, vlines_ymin=vlines_ymin, vlines_ymax=vlines_ymax, vlines_colors=vlines_colors, vlines_linestyles=vlines_linestyles, ) # @tsutils.validator( # ofilename=[str, [\"pass\", []],","where '--xlim ,1000' would base the lower limit on the data and set","to place a horizontal line. hlines_xmin: [optional, defaults to None] List of minimum","the 'style' keyword. +-------+----------------+ | Code | Markers | +=======+================+ | . |","not None: c = next(icolors) else: c = None if imarkerstyles is not","os.path.join( os.path.dirname(__file__), os.pardir, \"SciencePlots_styles\" ) plot_styles = [ os.path.join(style_loc, i + \".mplstyle\") if","raise ValueError( tsutils.error_wrapper( \"\"\" You have to have the same number of style","bar_hatchstyles = tsutils.make_list(bar_hatchstyles) if markerstyles == \"auto\": markerstyles = plotutils.MARKER_LIST else: markerstyles =","the Nth color from the current style. 2. Single character code from the","defaults to False] Make separate subplots for each time series. sharex [optional, default","be changed or added to as needed. lag_plot_lag [optional, default to 1] The","= tsutils.make_list(bar_hatchstyles) if markerstyles == \"auto\": markerstyles = plotutils.MARKER_LIST else: markerstyles = tsutils.make_list(markerstyles)","option will override the others. Comma separated matplotlib style strings per time-series. Just","legend label the axis of the various time-series automatically. scatter_matrix_diagonal : str [optional,","+------+---------+ | m | magenta | +------+---------+ | y | yellow | +------+---------+","\"] + plotutils.LINE_LIST], None], # markerstyles=[str, [\"domain\", [\"auto\", None, \"\", \" \", \"","lognorm_xaxis DEPRECATED: use '--type=\"lognorm_xaxis\"' instead. lognorm_yaxis DEPRECATED: use '--type=\"lognorm_yaxis\"' instead. xy_match_line : str","on the command line a comma separated list, or a list of strings","if using the Python API. Separated 'colors', 'linestyles', and 'markerstyles' instead of using","# ) def kde( input_ts=\"-\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\"datetime\", names=None, ofilename=\"plot.png\",","linestyles=[str, [\"domain\", [\"auto\", None, \"\", \" \", \" \"] + plotutils.LINE_LIST], None], #","= None else: colors = tsutils.make_list(colors) if linestyles == \"auto\": linestyles = plotutils.LINE_LIST","None if ilinestyles is not None: l = next(ilinestyles) else: l = None","beginning and end. {force_freq} invert_xaxis [optional, default is False] Invert the x-axis. invert_yaxis","entire plot. vlines_colors: [optional, defaults to None] List of colors for the vertical","hlines_xmin is None: hlines_xmin = nxlim[0] if hlines_xmax is None: hlines_xmax = nxlim[1]","[]], 1], # subplots=[bool, [\"domain\", [True, False]], 1], # sharex=[bool, [\"domain\", [True, False]],","is True or logy is True or norm_xaxis is True or norm_yaxis is","None else i for i in markerstyles] if colors is not None: icolors","logx=logx, logy=logy, xlim=xlim, ylim=ylim, secondary_y=secondary_y, figsize=figsize, ) for index, line in enumerate(ax.lines): if","nylim = ax.get_ylim() if vlines_ymin is None: vlines_ymin = nylim[0] if vlines_ymax is","or added to as needed. lag_plot_lag [optional, default to 1] The lag used","\"seaborn-bright\", # \"seaborn-colorblind\", # \"seaborn-dark\", # \"seaborn-dark-palette\", # \"seaborn-darkgrid\", # \"seaborn-deep\", # \"seaborn-muted\",","xlim=xlim, ylim=ylim, secondary_y=secondary_y, figsize=figsize, ) for index, line in enumerate(ax.lines): if icolors is","= True xlim = plotutils.know_your_limits(xlim, axis=xaxis) ylim = plotutils.know_your_limits(ylim, axis=yaxis) plot_styles = tsutils.make_list(plot_styles)","1], # title=[str, [\"pass\", []], 1], # figsize=[float, [\"range\", [0, None]], 2], #","\"\" else: # short freq string (day) OR (2 day) short_freq = \"({})\".format(pltfreq[beginstr:-1])","[\"pass\", []], None], # vlines_linestyles=[ # str, # [\"domain\", [\"auto\", None, \"\", \"","m = None if ilinestyles is not None: l = next(ilinestyles) else: l","from first good value to last good value. Strips NANs from beginning and","\"tukey\", \"gumbel\", \"hazen\", \"cunnane\", \"california\"], # ], # 1, # ], # prob_plot_sort_values=[str,","\"seaborn-ticks\", # \"seaborn-white\", # \"seaborn-whitegrid\", # \"tableau-colorblind10\", # \"science\", # \"grid\", # \"ieee\",","# hlines_xmax=[float, [\"pass\", []], None], # hlines_colors=[str, [\"pass\", []], None], # hlines_linestyles=[ #","style=[str, [\"pass\", []], None], # xlim=[float, [\"pass\", []], 2], # ylim=[float, [\"pass\", []],","subsets of 'bootstrap_size'. norm_xaxis DEPRECATED: use '--type=\"norm_xaxis\"' instead. norm_yaxis DEPRECATED: use '--type=\"norm_yaxis\"' instead.","itertools.cycle(colors) else: icolors = None imarkerstyles = itertools.cycle(markerstyles) ilinestyles = itertools.cycle(linestyles) # Only","based on range of x values] Comma separated lower and upper limits for","\") else: markerstyles.append(\" \") linestyles.append(st[1:]) if linestyles is None: linestyles = [\" \"]","list of strings if using the Python API. To not display lines use","1,1000' would limit the plot from 1 to 1000, where '--xlim ,1000' would","color blindness. Black, White, and Gray Styles The \"ieee\" style is appropriate for","the current plot style. vlines_linestyles: [optional, defaults to None] List of linestyles for","logx=False, logy=False, xaxis=\"arithmetic\", yaxis=\"arithmetic\", xlim=None, ylim=None, secondary_y=False, mark_right=True, scatter_matrix_diagonal=\"kde\", bootstrap_size=50, bootstrap_samples=500, norm_xaxis=False, norm_yaxis=False,","for bar, barh, bar_stacked, and barh_stacked. ibar_hatchstyles = itertools.cycle(bar_hatchstyles) if ( logx is","| r | red | +------+---------+ | c | cyan | +------+---------+ |","i is None else i for i in markerstyles] if colors is not","be same length as `hlines_y`. If a single number will be the maximum","int [optional] Skip for major labels for bar plots. drawstyle : str [optional,","[\"pass\", []], 1], # por=[bool, [\"domain\", [True, False]], 1], # invert_xaxis=[bool, [\"domain\", [True,","len(tsd.columns) ) ) ) colors = [] markerstyles = [] linestyles = []","strings as time-series to plot. You supplied '{}' for style which has {}","| +-------+----------------+ Marker reference: http://matplotlib.org/api/markers_api.html style [optional, default is None] Still available, but","list must be same length as `hlines_y`. If None will take for the","| +------+---------+ 3. Number between 0 and 1 that represents the level of","= str(tsd.index.freq, \"utf-8\").lower() except TypeError: pltfreq = str(tsd.index.freq).lower() if pltfreq.split(\" \")[0][1:] == \"1\":","nxlim[0] if hlines_xmax is None: hlines_xmax = nxlim[1] if vlines_x is not None:","has {} style strings, but you have {} time-series. \"\"\".format( style, len(nstyle), len(tsd.columns)","c = next(icolors) else: c = None if imarkerstyles is not None: m","== y. Set to a line style code. grid [optional, default is False]","as the color for all horizontal lines. If a list must be same","will iterate through the available matplotlib hatch types. Otherwise on the command line","which time-series to plot on secondary y-axis. mark_right [optional, default is True] When","or norm_yaxis is True or lognorm_xaxis is True or lognorm_yaxis is True ):","`vlines_x`. If a single number will be the maximum x value for all","= tsutils.make_list(vlines_ymax) vlines_colors = tsutils.make_list(vlines_colors) vlines_linestyles = tsutils.make_list(vlines_linestyles) nylim = ax.get_ylim() if vlines_ymin","+-------+----------------+ | 8 | octagon | +-------+----------------+ | s | square | +-------+----------------+","of using the 'style' keyword. +-------+----------------+ | Code | Markers | +=======+================+ |","| g | green | +------+---------+ | r | red | +------+---------+ |","vlines_ymin is None: vlines_ymin = nylim[0] if vlines_ymax is None: vlines_ymax = nylim[1]","the style of the plot. One or more of Matplotlib styles \"classic\", \"Solarize_Light2\",","vlines_ymin: [optional, defaults to None] List of minimum y values to start the","x values to start the horizontal line. If a list must be same","plt.legend(loc=\"best\") if hlines_y is not None: hlines_y = tsutils.make_list(hlines_y) hlines_xmin = tsutils.make_list(hlines_xmin) hlines_xmax","+-------+----------------+ | 1 | tri_down | +-------+----------------+ | 2 | tri_up | +-------+----------------+","defaults to None] Number or list of y values where to place a","[optional, default is 'arithmetic'] Defines the type of the xaxis. One of 'arithmetic',","# ], # vlines_x=[float, [\"pass\", []], None], # vlines_ymin=[float, [\"pass\", []], None], #","= tsutils.make_list(hlines_xmax) hlines_colors = tsutils.make_list(hlines_colors) hlines_linestyles = tsutils.make_list(hlines_linestyles) nxlim = ax.get_xlim() if hlines_xmin","If None will take for the standard linestyles list. vlines_x: [optional, defaults to","= next(imarkerstyles) else: m = None if ilinestyles is not None: l =","but you have {} time-series. \"\"\".format( style, len(nstyle), len(tsd.columns) ) ) ) colors","import itertools import os import warnings import mando import numpy as np import","``+`` | plus | +-------+----------------+ | x | x | +-------+----------------+ | D",": str [optional, default is 'arithmetic'] Defines the type of the xaxis. One","and 'markerstyles' instead of using the 'style' keyword. +---------+--------------+ | Code | Lines","bar, barh, bar_stacked, and barh_stacked. ibar_hatchstyles = itertools.cycle(bar_hatchstyles) if ( logx is True","matplotlib color codes, or within Python a list of color code strings. Can","{skiprows} {index_type} {names} {source_units} {target_units} {round_index} plot_styles: str [optional, default is \"default\"] Set","of the probability density function based on the data called kernel density estimation","values for all horizontal lines. A missing value or None will start at","is True or norm_yaxis is True or lognorm_xaxis is True or lognorm_yaxis is","sharey=sharey, colors=colors, linestyles=linestyles, markerstyles=markerstyles, bar_hatchstyles=bar_hatchstyles, style=style, logx=logx, logy=logy, xaxis=xaxis, yaxis=yaxis, xlim=xlim, ylim=ylim, secondary_y=secondary_y,","to start the vertical line. If a list must be same length as","end_date=end_date, pick=columns, round_index=round_index, dropna=\"all\", source_units=source_units, target_units=target_units, clean=clean, por=por, ) tsd, lnames = plotutils.check(type,","the standard linestyles list. \"\"\" plt = kde( input_ts=input_ts, columns=columns, start_date=start_date, end_date=end_date, clean=clean,","+-------+----------------+ | None | nothing | +-------+----------------+ | ' ' | nothing |","str [optional, defaults is ''] Will add a match line where x ==","of probability density function. \"kde\" will create a plot of estimation of the","+-------+----------------+ | Code | Markers | +=======+================+ | . | point | +-------+----------------+","| square | +-------+----------------+ | p | pentagon | +-------+----------------+ | ``*`` |","1], # type=[str, [\"domain\", [\"kde\",],], 1,], # lag_plot_lag=[int, [\"range\", [1, None]], 1], #","not None: l = next(ilinestyles) else: l = None if c is not","a marker. If 'auto' will iterate through the available matplotlib marker types. Otherwise","norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. {columns} {start_date} {end_date} {clean} {skiprows} {index_type}","values] Comma separated lower and upper limits for the x-axis of the plot.","standard linestyles list. \"\"\" plt = kde( input_ts=input_ts, columns=columns, start_date=start_date, end_date=end_date, clean=clean, skiprows=skiprows,","hlines_y | +-------+----------------+ | None | nothing | +-------+----------------+ | ' ' |","are all styles that are setup to be able to be distinguished by","-. | dash_dot | +---------+--------------+ | : | dotted | +---------+--------------+ | None","bootstrap_size=[int, [\"range\", [0, None]], 1], # xy_match_line=[str, [\"pass\", []], 1], # grid=[bool, [\"domain\",","keyword. +-------+----------------+ | Code | Markers | +=======+================+ | . | point |","default is 'default'] 'default' connects the points with lines. The steps variants produce","to None] List of linestyles for the horizontal lines. If a single linestyle","tsd, legend_names) # This is to help pretty print the frequency try: try:","value for the entire plot. hlines_xmax: [optional, defaults to None] List of maximum","(KDE). {ydata} Parameters ---------- {input_ts} ofilename : str [optional, defaults to 'plot.png'] Output","# ylim=[float, [\"pass\", []], 2], # xaxis=[str, [\"domain\", [\"arithmetic\", \"log\"]], 1], # yaxis=[str,","import matplotlib matplotlib.use(\"Agg\") import matplotlib.pyplot as plt from matplotlib.ticker import FixedLocator tsd =","plt.setp(line, color=c) plt.setp(line, marker=m) plt.setp(line, linestyle=l) ytitle = ytitle or \"Density\" if legend","| +---------+--------------+ | -. | dash_dot | +---------+--------------+ | : | dotted |","| o | circle | +-------+----------------+ | v | triangle down | +-------+----------------+","pretty print the frequency try: try: pltfreq = str(tsd.index.freq, \"utf-8\").lower() except TypeError: pltfreq","major labels for bar plots. drawstyle : str [optional, default is 'default'] 'default'","i in plot_styles ] plt.style.use(plot_styles) figsize = tsutils.make_list(figsize, n=2) _, ax = plt.subplots(figsize=figsize)","por=por, invert_xaxis=invert_xaxis, invert_yaxis=invert_yaxis, round_index=round_index, plotting_position=plotting_position, prob_plot_sort_values=prob_plot_sort_values, source_units=source_units, target_units=target_units, lag_plot_lag=lag_plot_lag, plot_styles=plot_styles, hlines_y=hlines_y, hlines_xmin=hlines_xmin, hlines_xmax=hlines_xmax,","legend=[bool, [\"domain\", [True, False]], 1], # legend_names=[str, [\"pass\", []], 1], # subplots=[bool, [\"domain\",","# vlines_ymin=[float, [\"pass\", []], None], # vlines_ymax=[float, [\"pass\", []], None], # vlines_colors=[str, [\"pass\",","`hlines_y`. If None will take from the color pallette in the current plot","pentagon | +-------+----------------+ | ``*`` | star | +-------+----------------+ | h | hexagon1","mark_right=mark_right, scatter_matrix_diagonal=scatter_matrix_diagonal, bootstrap_size=bootstrap_size, bootstrap_samples=bootstrap_samples, norm_xaxis=norm_xaxis, norm_yaxis=norm_yaxis, lognorm_xaxis=lognorm_xaxis, lognorm_yaxis=lognorm_yaxis, xy_match_line=xy_match_line, grid=grid, label_rotation=label_rotation, label_skip=label_skip, force_freq=force_freq,","y values where to place a horizontal line. hlines_xmin: [optional, defaults to None]","= ytitle or \"Density\" if legend is True: plt.legend(loc=\"best\") if hlines_y is not","defaults to None] Legend would normally use the time-series names associated with the","\"seaborn-darkgrid\", \"seaborn-deep\", \"seaborn-muted\", \"seaborn-notebook\", \"seaborn-paper\", \"seaborn-pastel\", \"seaborn-poster\", \"seaborn-talk\", \"seaborn-ticks\", \"seaborn-white\", \"seaborn-whitegrid\", \"tableau-colorblind10\", and","comma separated list of strings for each time-series in the data set. subplots","the command line a comma separated list, or a list of strings if","scatter_matrix_diagonal=\"kde\", bootstrap_size=50, bootstrap_samples=500, norm_xaxis=False, norm_yaxis=False, lognorm_xaxis=False, lognorm_yaxis=False, xy_match_line=\"\", grid=False, label_rotation=None, label_skip=1, force_freq=None, drawstyle=\"default\",","white, and gray, however the \"ieee\" also will change the chart size to","limit to 1000. ylim [optional, default is based on range of y values]","line types. Otherwise on the command line a comma separated list, or a","'default' connects the points with lines. The steps variants produce step-plots. 'steps' is","input data. The 'legend_names' option allows you to override the names in the","of the xaxis. One of 'arithmetic', 'log'. yaxis : str [optional, default is","hlines_xmin=hlines_xmin, hlines_xmax=hlines_xmax, hlines_colors=hlines_colors, hlines_linestyles=hlines_linestyles, vlines_x=vlines_x, vlines_ymin=vlines_ymin, vlines_ymax=vlines_ymax, vlines_colors=vlines_colors, vlines_linestyles=vlines_linestyles, ) # @tsutils.validator( #","\"vibrant\", \"muted\", and \"retro\". If multiple styles then each over rides some or","color for all vertical lines. If a list must be same length as","diamond | +-------+----------------+ | _ | hlines_y | +-------+----------------+ | None | nothing","would normally use the time-series names associated with the input data. The 'legend_names'","is chosen. xtitle : str [optional, default depends on ``type``] Title of x-axis.","if pltfreq == \"none\": short_freq = \"\" else: # short freq string (day)","xaxis=\"arithmetic\", yaxis=\"arithmetic\", xlim=None, ylim=None, secondary_y=False, mark_right=True, scatter_matrix_diagonal=\"kde\", bootstrap_size=50, bootstrap_samples=500, norm_xaxis=False, norm_yaxis=False, lognorm_xaxis=False, lognorm_yaxis=False,","[\"arithmetic\", \"log\"]], 1], # yaxis=[str, [\"domain\", [\"arithmetic\", \"log\"]], 1], # secondary_y=[bool, [\"domain\", [True,","will be the maximum x value for all vertical lines. A missing value","None | nothing | +-------+----------------+ | ' ' | nothing | +-------+----------------+ |","vertical | +-----------------+-------------------+ | - | horizontal | +-----------------+-------------------+ | + | crossed","if ``type`` \"lag_plot\" is chosen. xtitle : str [optional, default depends on ``type``]","\"notebook\", \"high-vis\", \"bright\", \"vibrant\", \"muted\", and \"retro\". If multiple styles then each over","hlines_xmax=hlines_xmax, hlines_colors=hlines_colors, hlines_linestyles=hlines_linestyles, vlines_x=vlines_x, vlines_ymin=vlines_ymin, vlines_ymax=vlines_ymax, vlines_colors=vlines_colors, vlines_linestyles=vlines_linestyles, ) # @tsutils.validator( # ofilename=[str,","# legend=[bool, [\"domain\", [True, False]], 1], # legend_names=[str, [\"pass\", []], 1], # subplots=[bool,","None] List of maximum x values to end each vertical line. If a","vertical line. vlines_ymin: [optional, defaults to None] List of minimum y values to",": int [optional] Skip for major labels for bar plots. drawstyle : str","y values to start the vertical line. If a list must be same","to None] List of minimum y values to start the vertical line. If","[optional, defaults to None] List of minimum x values to start the horizontal","+ plotutils.HATCH_LIST], None], # style=[str, [\"pass\", []], None], # xlim=[float, [\"pass\", []], 2],","number will be used as the minimum x values for all vertical lines.","The 'width,height' of plot in inches. legend [optional, defaults to True] Whether to","'hist' for a histogram. bootstrap_size : int [optional, defaults to 50] The size","List of x values where to place a vertical line. vlines_ymin: [optional, defaults","= 1 if pltfreq == \"none\": short_freq = \"\" else: # short freq","[\" \"] else: linestyles = [\" \" if i in [\" \", None]","be same length as `hlines_y`. If None will take for the standard linestyles","None], # vlines_linestyles=[ # str, # [\"domain\", [\"auto\", None, \"\", \" \", \"","style strings as time-series to plot. You supplied '{}' for style which has","\"seaborn-poster\", \"seaborn-talk\", \"seaborn-ticks\", \"seaborn-white\", \"seaborn-whitegrid\", \"tableau-colorblind10\", and SciencePlots styles \"science\", \"grid\", \"ieee\", \"scatter\",","Need to work around some old option defaults with the implementation of #","produce step-plots. 'steps' is equivalent to 'steps-pre' and is maintained for backward-compatibility. ACCEPTS::","the plot. For example, '--xlim 1,1000' would limit the plot from 1 to","a number from 0 to 9 that gets the Nth color from the","# -*- coding: utf-8 -*- \"\"\"Collection of functions for the manipulation of time","\"\", \" \", \" \"] + plotutils.LINE_LIST], # None, # ], # vlines_x=[float,","1], # bootstrap_size=[int, [\"range\", [0, None]], 1], # xy_match_line=[str, [\"pass\", []], 1], #","\"scatter\", \"notebook\", \"high-vis\", \"bright\", \"vibrant\", \"muted\", and \"retro\". If multiple styles then each","= tsutils.make_list(linestyles) if bar_hatchstyles == \"auto\": bar_hatchstyles = plotutils.HATCH_LIST else: bar_hatchstyles = tsutils.make_list(bar_hatchstyles)","a list of strings if using the Python API. To not display lines","yellow | +------+---------+ | k | black | +------+---------+ 3. Number between 0","| : | dotted | +---------+--------------+ | None | draw nothing | +---------+--------------+","1], # legend_names=[str, [\"pass\", []], 1], # subplots=[bool, [\"domain\", [True, False]], 1], #","plot style. hlines_linestyles: [optional, defaults to None] List of linestyles for the horizontal","used as the color for all horizontal lines. If a list must be","burlywood | +------------------+ | chartreuse | +------------------+ | ...etc. | +------------------+ Color reference:","use '--type=\"lognorm_xaxis\"' instead. lognorm_yaxis DEPRECATED: use '--type=\"lognorm_yaxis\"' instead. xy_match_line : str [optional, defaults","1: markerstyles.append(\" \") linestyles.append(\"-\") continue if st[1] in plotutils.MARKER_LIST: markerstyles.append(st[1]) try: linestyles.append(st[2:]) except","+------+---------+ | r | red | +------+---------+ | c | cyan | +------+---------+","= tsutils.make_list(hlines_colors) hlines_linestyles = tsutils.make_list(hlines_linestyles) nxlim = ax.get_xlim() if hlines_xmin is None: hlines_xmin","API. To not display lines use a space (' ') as the linestyle","round_index=None, plotting_position=\"weibull\", prob_plot_sort_values=\"descending\", source_units=None, target_units=None, lag_plot_lag=1, plot_styles=\"bright\", hlines_y=None, hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\"-\", vlines_x=None,","[\"auto\", None, \"\", \" \", \" \"] + plotutils.LINE_LIST], None], # markerstyles=[str, [\"domain\",","When using a secondary_y axis, should the legend label the axis of the","of maximum x values to end each horizontal line. If a list must","== \"auto\": linestyles = plotutils.LINE_LIST else: linestyles = tsutils.make_list(linestyles) if bar_hatchstyles == \"auto\":","| ``-`` | solid | +---------+--------------+ | -- | dashed | +---------+--------------+ |","'arithmetic'] Defines the type of the yaxis. One of 'arithmetic', 'log'. secondary_y [optional,","a single number will be used as the minimum x values for all","9 that gets the Nth color from the current style. 2. Single character","hlines_colors: [optional, defaults to None] List of colors for the horizontal lines. If","if bar_hatchstyles == \"auto\": bar_hatchstyles = plotutils.HATCH_LIST else: bar_hatchstyles = tsutils.make_list(bar_hatchstyles) if markerstyles","--logy use --yaxis=\"log\" * For --norm_xaxis use --type=\"norm_xaxis\" * For --norm_yaxis use --type=\"norm_yaxis\"","None if imarkerstyles is not None: m = next(imarkerstyles) else: m = None","is None: markerstyles = \" \" if style != \"auto\": nstyle = tsutils.make_list(style)","as the linestyle code. Separated 'colors', 'linestyles', and 'markerstyles' instead of using the","a list must be same length as `hlines_y`. If a single number will","four different ways. 1. Use 'CN' where N is a number from 0","None: vlines_x = tsutils.make_list(vlines_x) vlines_ymin = tsutils.make_list(vlines_ymin) vlines_ymax = tsutils.make_list(vlines_ymax) vlines_colors = tsutils.make_list(vlines_colors)","else i for i in plot_styles ] plt.style.use(plot_styles) figsize = tsutils.make_list(figsize, n=2) _,","is True: plt.gca().invert_xaxis() if invert_yaxis is True: plt.gca().invert_yaxis() plt.grid(grid) plt.title(title) plt.tight_layout() if ofilename","use '--type=\"lognorm_yaxis\"' instead. xy_match_line : str [optional, defaults is ''] Will add a","# scatter_matrix_diagonal=[str, [\"domain\", [\"kde\", \"hist\"]], 1], # bootstrap_size=[int, [\"range\", [0, None]], 1], #","hlines_xmax = nxlim[1] if vlines_x is not None: vlines_x = tsutils.make_list(vlines_x) vlines_ymin =","sharex=[bool, [\"domain\", [True, False]], 1], # sharey=[bool, [\"domain\", [True, False]], 1], # colors=[str,","is \"default\"] Set the style of the plot. One or more of Matplotlib","plt.hlines( hlines_y, hlines_xmin, hlines_xmax, colors=hlines_colors, linestyles=hlines_linestyles, ) if vlines_x is not None: if","vertical line. If a list must be same length as `vlines_x`. If a","is None will return the Matplotlib figure that can then be changed or","plt = kde( input_ts=input_ts, columns=columns, start_date=start_date, end_date=end_date, clean=clean, skiprows=skiprows, index_type=index_type, names=names, ofilename=ofilename, xtitle=xtitle,","(' ') as the linestyle code. Separated 'colors', 'linestyles', and 'markerstyles' instead of","[\"kde\", \"probability_density\"]: ax = tsd.plot.kde( legend=legend, subplots=subplots, sharex=sharex, sharey=sharey, style=None, logx=logx, logy=logy, xlim=xlim,","x | +-------+----------------+ | D | diamond | +-------+----------------+ | d | thin","[]], None], # hlines_xmax=[float, [\"pass\", []], None], # hlines_colors=[str, [\"pass\", []], None], #","\"auto\": linestyles = plotutils.LINE_LIST else: linestyles = tsutils.make_list(linestyles) if bar_hatchstyles == \"auto\": bar_hatchstyles","== \"auto\": markerstyles = plotutils.MARKER_LIST else: markerstyles = tsutils.make_list(markerstyles) if markerstyles is None:","[\"pass\", []], None], # linestyles=[str, [\"domain\", [\"auto\", None, \"\", \" \", \" \"]","color=c) plt.setp(line, marker=m) plt.setp(line, linestyle=l) ytitle = ytitle or \"Density\" if legend is","each vertical line. If a list must be same length as `vlines_x`. If","lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. {columns} {start_date} {end_date} {clean} {skiprows} {index_type} {names} {source_units}","\"bmh\", # \"dark_background\", # \"fast\", # \"fivethirtyeight\", # \"ggplot\", # \"grayscale\", # \"seaborn\",","import matplotlib.pyplot as plt from matplotlib.ticker import FixedLocator tsd = tsutils.common_kwds( input_ts, skiprows=skiprows,","strings if using the Python API. +-----------------+-------------------+ | bar_hatchstyles | Description | +=================+===================+","\"bright\", \"vibrant\", and \"muted\" are all styles that are setup to be able","with color blindness. Black, White, and Gray Styles The \"ieee\" style is appropriate","defaults to None] List of x values where to place a vertical line.","\"ieee\", \"scatter\", \"notebook\", \"high-vis\", \"bright\", \"vibrant\", \"muted\", and \"retro\". If multiple styles then","lines on the major ticks. label_rotation : int [optional] Rotation for major labels","| +------+---------+ | c | cyan | +------+---------+ | m | magenta |","lognorm_yaxis, weibull_xaxis, and weibull_yaxis. {columns} {start_date} {end_date} {clean} {skiprows} {index_type} {names} {source_units} {target_units}","plotutils warnings.filterwarnings(\"ignore\") @mando.command(\"kde\", formatter_class=RSTHelpFormatter, doctype=\"numpy\") @tsutils.doc(plotutils.ldocstrings) def kde_cli( input_ts=\"-\", columns=None, start_date=None, end_date=None, clean=False,","grid [optional, default is False] Whether to plot grid lines on the major","# @tsutils.validator( # ofilename=[str, [\"pass\", []], 1], # type=[str, [\"domain\", [\"kde\",],], 1,], #","[\"pass\", []], 1], # figsize=[float, [\"range\", [0, None]], 2], # legend=[bool, [\"domain\", [True,","of chart. figsize : str [optional, defaults to '10,6.5'] The 'width,height' of plot","title : str [optional, defaults to ''] Title of chart. figsize : str","if type in [\"norm_yaxis\", \"lognorm_yaxis\", \"weibull_yaxis\"]: hlines_y = ppf(tsutils.make_list(hlines_y)) plt.hlines( hlines_y, hlines_xmin, hlines_xmax,","strings if using the Python API. Separated 'colors', 'linestyles', and 'markerstyles' instead of","| 1 | tri_down | +-------+----------------+ | 2 | tri_up | +-------+----------------+ |","'scatter_matrix', this specifies the plot along the diagonal. One of 'kde' for Kernel","[optional, default is \"default\"] Set the style of the plot. One or more","lines. A missing value or None will start at the minimum x value","clean=clean, por=por, ) tsd, lnames = plotutils.check(type, tsd, legend_names) # This is to",",1000' would base the lower limit on the data and set the upper","markerstyles.append(\" \") linestyles.append(\"-\") continue if st[1] in plotutils.MARKER_LIST: markerstyles.append(st[1]) try: linestyles.append(st[2:]) except IndexError:","range of y values] Comma separated lower and upper limits for the y-axis","using the 'style' keyword. +---------+--------------+ | Code | Lines | +=========+==============+ | ``-``","i for i in markerstyles] if colors is not None: icolors = itertools.cycle(colors)","legend_names) # This is to help pretty print the frequency try: try: pltfreq","if st[1] in plotutils.MARKER_LIST: markerstyles.append(st[1]) try: linestyles.append(st[2:]) except IndexError: linestyles.append(\" \") else: markerstyles.append(\"","tsutils.make_list(vlines_x) vlines_ymin = tsutils.make_list(vlines_ymin) vlines_ymax = tsutils.make_list(vlines_ymax) vlines_colors = tsutils.make_list(vlines_colors) vlines_linestyles = tsutils.make_list(vlines_linestyles)","is white an 1 is black. 4. Any of the HTML color names.","to plot on secondary y-axis. mark_right [optional, default is True] When using a","will be used as the linestyle for all vertical lines. If a list","to None] Legend would normally use the time-series names associated with the input","@tsutils.doc(plotutils.ldocstrings) def kde_cli( input_ts=\"-\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\"datetime\", names=None, ofilename=\"plot.png\", xtitle=\"\",","invert_yaxis=[bool, [\"domain\", [True, False]], 1], # plotting_position=[ # str, # [ # \"domain\",","style, len(nstyle), len(tsd.columns) ) ) ) colors = [] markerstyles = [] linestyles","os.pardir, \"SciencePlots_styles\" ) plot_styles = [ os.path.join(style_loc, i + \".mplstyle\") if os.path.exists(os.path.join(style_loc, i","| +------------------+ | burlywood | +------------------+ | chartreuse | +------------------+ | ...etc. |","| +-------+----------------+ | s | square | +-------+----------------+ | p | pentagon |","# ], # prob_plot_sort_values=[str, [\"domain\", [\"ascending\", \"descending\"]], 1], # plot_styles=[ # str, #","as time-series to plot. You supplied '{}' for style which has {} style","styles: https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_reference.html SciencePlots styles: https://github.com/garrettj403/SciencePlots hlines_y: [optional, defaults to None] Number or list","of x values] Comma separated lower and upper limits for the x-axis of","| +-----------------+-------------------+ | * | stars | +-----------------+-------------------+ logx DEPRECATED: use '--xaxis=\"log\"' instead.","[\"domain\", [True, False]], 1], # plotting_position=[ # str, # [ # \"domain\", #","list must be same length as `hlines_y`. If None will take from the","\"norm_yaxis\", \"lognorm_yaxis\", \"weibull_yaxis\", ]: if hlines_y is not None: if type in [\"norm_yaxis\",","| > | triangle right | +-------+----------------+ | 1 | tri_down | +-------+----------------+","for the plot. Extension defines the type, for example 'filename.png' will create a","\" \", \" \"] + plotutils.LINE_LIST], None], # markerstyles=[str, [\"domain\", [\"auto\", None, \"\",","subplots=True, share y axis. colors [optional, default is 'auto'] The default 'auto' will","\"seaborn-paper\", # \"seaborn-pastel\", # \"seaborn-poster\", # \"seaborn-talk\", # \"seaborn-ticks\", # \"seaborn-white\", # \"seaborn-whitegrid\",","linestyle then will be used as the linestyle for all horizontal lines. If","+ \".mplstyle\") if os.path.exists(os.path.join(style_loc, i + \".mplstyle\")) else i for i in plot_styles","used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. {columns} {start_date} {end_date} {clean}","yaxis : str [optional, default is 'arithmetic'] Defines the type of the yaxis.","else: m = None if ilinestyles is not None: l = next(ilinestyles) else:","the vertical line. If a list must be same length as `vlines_x`. If","vlines_ymax, colors=vlines_colors, linestyles=vlines_linestyles, ) plt.xlabel(xtitle) plt.ylabel(ytitle) if invert_xaxis is True: plt.gca().invert_xaxis() if invert_yaxis","Color Blind Appropriate Styles The styles \"seaborn-colorblind\", \"tableau-colorblind10\", \"bright\", \"vibrant\", and \"muted\" are","For --norm_xaxis use --type=\"norm_xaxis\" * For --norm_yaxis use --type=\"norm_yaxis\" * For --lognorm_xaxis use","colors=hlines_colors, linestyles=hlines_linestyles, ) if vlines_x is not None: if type in [\"norm_xaxis\", \"lognorm_xaxis\",","None | draw nothing | +---------+--------------+ | ' ' | draw nothing |","lognorm_yaxis is True ): warnings.warn( \"\"\" * * The --logx, --logy, --norm_xaxis, --norm_yaxis,","* --lognorm_yaxis options are deprecated. * * For --logx use --xaxis=\"log\" * For","plot_styles = [ os.path.join(style_loc, i + \".mplstyle\") if os.path.exists(os.path.join(style_loc, i + \".mplstyle\")) else","+-------+----------------+ | v | triangle down | +-------+----------------+ | ^ | triangle up","None], # bar_hatchstyles=[str, [\"domain\", [\"auto\", None, \"\", \" \", \" \"] + plotutils.HATCH_LIST],","color codes, or within Python a list of color code strings. Can identify","plot along the diagonal. One of 'kde' for Kernel Density Estimation or 'hist'","[optional, defaults to None] Legend would normally use the time-series names associated with","plots. label_skip : int [optional] Skip for major labels for bar plots. drawstyle","--norm_xaxis use --type=\"norm_xaxis\" * For --norm_yaxis use --type=\"norm_yaxis\" * For --lognorm_xaxis use --type=\"lognorm_xaxis\"","skiprows=None, index_type=\"datetime\", names=None, ofilename=\"plot.png\", xtitle=\"\", ytitle=\"\", title=\"\", figsize=\"10,6.0\", legend=None, legend_names=None, subplots=False, sharex=True, sharey=False,","None: hlines_xmin = nxlim[0] if hlines_xmax is None: hlines_xmax = nxlim[1] if vlines_x","# \"seaborn-talk\", # \"seaborn-ticks\", # \"seaborn-white\", # \"seaborn-whitegrid\", # \"tableau-colorblind10\", # \"science\", #","\"ieee\", # \"scatter\", # \"notebook\", # \"high-vis\", # \"bright\", # \"vibrant\", # \"muted\",","| 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post'] por [optional] Plot from first","\"Solarize_Light2\", \"bmh\", \"dark_background\", \"fast\", \"fivethirtyeight\", \"ggplot\", \"grayscale\", \"seaborn\", \"seaborn-bright\", \"seaborn-colorblind\", \"seaborn-dark\", \"seaborn-dark-palette\", \"seaborn-darkgrid\",","1], # invert_xaxis=[bool, [\"domain\", [True, False]], 1], # invert_yaxis=[bool, [\"domain\", [True, False]], 1],","diamond | +-------+----------------+ | d | thin diamond | +-------+----------------+ | _ |","\"\", \" \", \" \"] + plotutils.LINE_LIST], None], # markerstyles=[str, [\"domain\", [\"auto\", None,","norm_xaxis=False, norm_yaxis=False, lognorm_xaxis=False, lognorm_yaxis=False, xy_match_line=\"\", grid=False, label_rotation=None, label_skip=1, force_freq=None, drawstyle=\"default\", por=False, invert_xaxis=False, invert_yaxis=False,","[True, False]], 1], # label_rotation=[float, [\"pass\", []], 1], # label_skip=[int, [\"range\", [1, None]],","ofilename=ofilename, xtitle=xtitle, ytitle=ytitle, title=title, figsize=figsize, legend=legend, legend_names=legend_names, subplots=subplots, sharex=sharex, sharey=sharey, colors=colors, linestyles=linestyles, markerstyles=markerstyles,","density function based on the data called kernel density estimation (KDE). {ydata} Parameters","list, or a list of strings if using the Python API. +-----------------+-------------------+ |","all styles that are setup to be able to be distinguished by someone","None, # ], # vlines_x=[float, [\"pass\", []], None], # vlines_ymin=[float, [\"pass\", []], None],","plot. vlines_ymax: [optional, defaults to None] List of maximum x values to end","= None if ilinestyles is not None: l = next(ilinestyles) else: l =","[\"weibull\", \"benard\", \"tukey\", \"gumbel\", \"hazen\", \"cunnane\", \"california\"], # ], # 1, # ],","will take from the color pallette in the current plot style. vlines_linestyles: [optional,","xtitle=xtitle, ytitle=ytitle, title=title, figsize=figsize, legend=legend, legend_names=legend_names, subplots=subplots, sharex=sharex, sharey=sharey, colors=colors, linestyles=linestyles, markerstyles=markerstyles, bar_hatchstyles=bar_hatchstyles,","+------------------+ | ...etc. | +------------------+ Color reference: http://matplotlib.org/api/colors_api.html linestyles [optional, default to 'auto']","+-------+----------------+ | H | hexagon2 | +-------+----------------+ | ``+`` | plus | +-------+----------------+","== \"none\": short_freq = \"\" else: # short freq string (day) OR (2","If a list must be same length as `hlines_y`. If None will take","the x-axis. invert_yaxis [optional, default is False] Invert the y-axis. plotting_position : str","[1, None]], 1], # xtitle=[str, [\"pass\", []], 1], # ytitle=[str, [\"pass\", []], 1],","'markerstyles' options. Currently the 'style' option will override the others. Comma separated matplotlib","gray. Matplotlib styles: https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_reference.html SciencePlots styles: https://github.com/garrettj403/SciencePlots hlines_y: [optional, defaults to None] Number","y-axis of the plot. See `xlim` for examples. xaxis : str [optional, default","plot_styles=[ # str, # [ # \"domain\", # [ # \"classic\", # \"Solarize_Light2\",","hlines_linestyles=\"-\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\"-\", **kwds, ): r\"\"\"Plot data.\"\"\" # Need to","\"grayscale\" is another style useful for photo-copyable black, white, nd gray. Matplotlib styles:","The --logx, --logy, --norm_xaxis, --norm_yaxis, --lognorm_xaxis, and * --lognorm_yaxis options are deprecated. *","then will be used as the color for all horizontal lines. If a","= next(icolors) else: c = None if imarkerstyles is not None: m =","line. vlines_ymin: [optional, defaults to None] List of minimum y values to start","horizontal line. hlines_xmin: [optional, defaults to None] List of minimum x values to","linestyles = [\" \"] else: linestyles = [\" \" if i in [\"","in plot_styles ] plt.style.use(plot_styles) figsize = tsutils.make_list(figsize, n=2) _, ax = plt.subplots(figsize=figsize) if","nothing | +---------+--------------+ | '' | draw nothing | +---------+--------------+ Line reference: http://matplotlib.org/api/artist_api.html","linestyles for the vertical lines. If a single linestyle then will be used","probability density function based on the data called kernel density estimation (KDE). {ydata}","\"barh_stacked\"] If 'auto' will iterate through the available matplotlib hatch types. Otherwise on","figsize : str [optional, defaults to '10,6.5'] The 'width,height' of plot in inches.","...etc. | +------------------+ Color reference: http://matplotlib.org/api/colors_api.html linestyles [optional, default to 'auto'] If 'auto'","Names | +==================+ | red | +------------------+ | burlywood | +------------------+ | chartreuse","scatter_matrix_diagonal=[str, [\"domain\", [\"kde\", \"hist\"]], 1], # bootstrap_size=[int, [\"range\", [0, None]], 1], # xy_match_line=[str,","None], # style=[str, [\"pass\", []], None], # xlim=[float, [\"pass\", []], 2], # ylim=[float,","the axis of the various time-series automatically. scatter_matrix_diagonal : str [optional, defaults to","\"auto\": markerstyles = plotutils.MARKER_LIST else: markerstyles = tsutils.make_list(markerstyles) if markerstyles is None: markerstyles","default is False] Whether to plot grid lines on the major ticks. label_rotation","to 1] The lag used if ``type`` \"lag_plot\" is chosen. xtitle : str","of plot in inches. legend [optional, defaults to True] Whether to display the","length as `vlines_x`. If None will take from the color pallette in the","None, \"\", \" \", \" \"] + plotutils.LINE_LIST], # None, # ], #","title=[str, [\"pass\", []], 1], # figsize=[float, [\"range\", [0, None]], 2], # legend=[bool, [\"domain\",","+------+---------+ 3. Number between 0 and 1 that represents the level of gray,","type in [\"kde\", \"probability_density\"]: ax = tsd.plot.kde( legend=legend, subplots=subplots, sharex=sharex, sharey=sharey, style=None, logx=logx,","must be same length as `hlines_y`. If None will take for the standard","tsutils.make_list(markerstyles) if markerstyles is None: markerstyles = \" \" if style != \"auto\":","multiple styles then each over rides some or all of the characteristics of","the entire plot. hlines_xmax: [optional, defaults to None] List of maximum x values","style strings per time-series. Just combine codes in 'ColorMarkerLine' order, for example 'r*--'","thin diamond | +-------+----------------+ | _ | hlines_y | +-------+----------------+ | None |","lag_plot_lag=1, plot_styles=\"bright\", hlines_y=None, hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\"-\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\"-\", **kwds,","colors=\"auto\", linestyles=\"auto\", markerstyles=\" \", bar_hatchstyles=\"auto\", style=\"auto\", logx=False, logy=False, xaxis=\"arithmetic\", yaxis=\"arithmetic\", xlim=None, ylim=None, secondary_y=False,","as the linestyle for all horizontal lines. If a list must be same","= plotutils.know_your_limits(xlim, axis=xaxis) ylim = plotutils.know_your_limits(ylim, axis=yaxis) plot_styles = tsutils.make_list(plot_styles) + [\"no-latex\"] style_loc","nylim[0] if vlines_ymax is None: vlines_ymax = nylim[1] if type in [ \"time\",","[]], 1], # por=[bool, [\"domain\", [True, False]], 1], # invert_xaxis=[bool, [\"domain\", [True, False]],","have the same number of style strings as time-series to plot. You supplied","single linestyle then will be used as the linestyle for all horizontal lines.","scatter_matrix_diagonal=scatter_matrix_diagonal, bootstrap_size=bootstrap_size, bootstrap_samples=bootstrap_samples, norm_xaxis=norm_xaxis, norm_yaxis=norm_yaxis, lognorm_xaxis=lognorm_xaxis, lognorm_yaxis=lognorm_yaxis, xy_match_line=xy_match_line, grid=grid, label_rotation=label_rotation, label_skip=label_skip, force_freq=force_freq, drawstyle=drawstyle,","\"weibull_yaxis\"]: hlines_y = ppf(tsutils.make_list(hlines_y)) plt.hlines( hlines_y, hlines_xmin, hlines_xmax, colors=hlines_colors, linestyles=hlines_linestyles, ) if vlines_x","a comma separated list, or a list of strings if using the Python","for bar plots. label_skip : int [optional] Skip for major labels for bar","limit on the data and set the upper limit to 1000. ylim [optional,","tri_left | +-------+----------------+ | 4 | tri_right | +-------+----------------+ | 8 | octagon","using a secondary_y axis, should the legend label the axis of the various","comma separated list, or a list of strings if using the Python API.","based on range of y values] Comma separated lower and upper limits for","For --lognorm_xaxis use --type=\"lognorm_xaxis\" * For --lognorm_yaxis use --type=\"lognorm_yaxis\" * \"\"\" ) if","b | blue | +------+---------+ | g | green | +------+---------+ | r","and \"barh_stacked\"] If 'auto' will iterate through the available matplotlib hatch types. Otherwise","points with lines. The steps variants produce step-plots. 'steps' is equivalent to 'steps-pre'","[\"domain\", [\"arithmetic\", \"log\"]], 1], # yaxis=[str, [\"domain\", [\"arithmetic\", \"log\"]], 1], # secondary_y=[bool, [\"domain\",","'bootstrap_size'. norm_xaxis DEPRECATED: use '--type=\"norm_xaxis\"' instead. norm_yaxis DEPRECATED: use '--type=\"norm_yaxis\"' instead. lognorm_xaxis DEPRECATED:","= ppf(tsutils.make_list(vlines_x)) plt.vlines( vlines_x, vlines_ymin, vlines_ymax, colors=vlines_colors, linestyles=vlines_linestyles, ) plt.xlabel(xtitle) plt.ylabel(ytitle) if invert_xaxis","vlines_linestyles=\"-\", **kwds, ): r\"\"\"Plot data.\"\"\" # Need to work around some old option","at the minimum x value for the entire plot. vlines_ymax: [optional, defaults to","for the horizontal lines. If a single linestyle then will be used as","icolors = itertools.cycle(colors) else: icolors = None imarkerstyles = itertools.cycle(markerstyles) ilinestyles = itertools.cycle(linestyles)","+---------+--------------+ | '' | draw nothing | +---------+--------------+ Line reference: http://matplotlib.org/api/artist_api.html markerstyles [optional,","\"seaborn-colorblind\", \"tableau-colorblind10\", \"bright\", \"vibrant\", and \"muted\" are all styles that are setup to","None] List of maximum x values to end each horizontal line. If a","\" if i is None else i for i in markerstyles] if colors","import absolute_import, division, print_function import itertools import os import warnings import mando import","| +---------+--------------+ | -- | dashed | +---------+--------------+ | -. | dash_dot |","source_units=source_units, target_units=target_units, lag_plot_lag=lag_plot_lag, plot_styles=plot_styles, hlines_y=hlines_y, hlines_xmin=hlines_xmin, hlines_xmax=hlines_xmax, hlines_colors=hlines_colors, hlines_linestyles=hlines_linestyles, vlines_x=vlines_x, vlines_ymin=vlines_ymin, vlines_ymax=vlines_ymax, vlines_colors=vlines_colors,","\"vibrant\", # \"muted\", # \"retro\", # ], # ], # None, # ],","defines the type, for example 'filename.png' will create a PNG file. If used","Color reference: http://matplotlib.org/api/colors_api.html linestyles [optional, default to 'auto'] If 'auto' will iterate through","| hexagon1 | +-------+----------------+ | H | hexagon2 | +-------+----------------+ | ``+`` |","else: l = None if c is not None: plt.setp(line, color=c) plt.setp(line, marker=m)","lag_plot_lag [optional, default to 1] The lag used if ``type`` \"lag_plot\" is chosen.","plt.setp(line, marker=m) plt.setp(line, linestyle=l) ytitle = ytitle or \"Density\" if legend is True:","for photo-copyable black, white, nd gray. Matplotlib styles: https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_reference.html SciencePlots styles: https://github.com/garrettj403/SciencePlots hlines_y:","hlines_colors=None, hlines_linestyles=\"-\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\"-\", ): r\"\"\"Kernel density estimation of probability","color pallette in the current plot style. vlines_linestyles: [optional, defaults to None] List","--type=\"lognorm_yaxis\" * \"\"\" ) if xaxis == \"log\": logx = True if yaxis","round_index=round_index, plotting_position=plotting_position, prob_plot_sort_values=prob_plot_sort_values, source_units=source_units, target_units=target_units, lag_plot_lag=lag_plot_lag, plot_styles=plot_styles, hlines_y=hlines_y, hlines_xmin=hlines_xmin, hlines_xmax=hlines_xmax, hlines_colors=hlines_colors, hlines_linestyles=hlines_linestyles, vlines_x=vlines_x,","+ plotutils.LINE_LIST], # None, # ], # ) def kde( input_ts=\"-\", columns=None, start_date=None,","--norm_yaxis use --type=\"norm_yaxis\" * For --lognorm_xaxis use --type=\"lognorm_xaxis\" * For --lognorm_yaxis use --type=\"lognorm_yaxis\"","an 1 is black. 4. Any of the HTML color names. +------------------+ |","current plot style. hlines_linestyles: [optional, defaults to None] List of linestyles for the","c is not None: plt.setp(line, color=c) plt.setp(line, marker=m) plt.setp(line, linestyle=l) ytitle = ytitle","not None: m = next(imarkerstyles) else: m = None if ilinestyles is not","v | triangle down | +-------+----------------+ | ^ | triangle up | +-------+----------------+","iterate through the available matplotlib line types. Otherwise on the command line a","hlines_y, hlines_xmin, hlines_xmax, colors=hlines_colors, linestyles=hlines_linestyles, ) if vlines_x is not None: if type","if markerstyles is None: markerstyles = \" \" if style != \"auto\": nstyle","same length as `hlines_y`. If a single number will be the maximum x","of the yaxis. One of 'arithmetic', 'log'. secondary_y [optional, default is False] Whether","os import warnings import mando import numpy as np import pandas as pd","x-axis. ytitle : str [optional, default depends on ``type``] Title of y-axis. title","Density Estimation or 'hist' for a histogram. bootstrap_size : int [optional, defaults to","chosen style. At the command line supply a comma separated matplotlib color codes,","= plotutils.LINE_LIST else: linestyles = tsutils.make_list(linestyles) if bar_hatchstyles == \"auto\": bar_hatchstyles = plotutils.HATCH_LIST","label the axis of the various time-series automatically. scatter_matrix_diagonal : str [optional, defaults","# \"dark_background\", # \"fast\", # \"fivethirtyeight\", # \"ggplot\", # \"grayscale\", # \"seaborn\", #","\"\"\".format( style, len(nstyle), len(tsd.columns) ) ) ) colors = [] markerstyles = []","beginstr = 1 if pltfreq == \"none\": short_freq = \"\" else: # short","True] Whether to display the legend. legend_names : str [optional, defaults to None]","ppf(tsutils.make_list(hlines_y)) plt.hlines( hlines_y, hlines_xmin, hlines_xmax, colors=hlines_colors, linestyles=hlines_linestyles, ) if vlines_x is not None:","another style useful for photo-copyable black, white, nd gray. Matplotlib styles: https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_reference.html SciencePlots","vlines_linestyles=[ # str, # [\"domain\", [\"auto\", None, \"\", \" \", \" \"] +","be used as the linestyle for all vertical lines. If a list must","used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. prob_plot_sort_values : str [optional,","as `vlines_x`. If a single number will be the maximum x value for","between 0 and 1 that represents the level of gray, where 0 is","\"muted\", and \"retro\". If multiple styles then each over rides some or all","[optional, defaults to None] List of linestyles for the horizontal lines. If a","target_units=target_units, clean=clean, por=por, ) tsd, lnames = plotutils.check(type, tsd, legend_names) # This is","for the entire plot. hlines_xmax: [optional, defaults to None] List of maximum x","xaxis : str [optional, default is 'arithmetic'] Defines the type of the xaxis.","type of the xaxis. One of 'arithmetic', 'log'. yaxis : str [optional, default","# \"grayscale\", # \"seaborn\", # \"seaborn-bright\", # \"seaborn-colorblind\", # \"seaborn-dark\", # \"seaborn-dark-palette\", #","add a match line where x == y. Set to a line style","values for the probability plots. Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis,","style code. grid [optional, default is False] Whether to plot grid lines on","\"ggplot\", \"grayscale\", \"seaborn\", \"seaborn-bright\", \"seaborn-colorblind\", \"seaborn-dark\", \"seaborn-dark-palette\", \"seaborn-darkgrid\", \"seaborn-deep\", \"seaborn-muted\", \"seaborn-notebook\", \"seaborn-paper\", \"seaborn-pastel\",","within Python a list of color code strings. Can identify colors in four","used as the linestyle for all vertical lines. If a list must be","small circle | +-----------------+-------------------+ | O | large circle | +-----------------+-------------------+ | .","\"] + plotutils.LINE_LIST], # None, # ], # vlines_x=[float, [\"pass\", []], None], #","white an 1 is black. 4. Any of the HTML color names. +------------------+","[\"domain\", [True, False]], 1], # sharey=[bool, [\"domain\", [True, False]], 1], # colors=[str, [\"pass\",","\"utf-8\").lower() except TypeError: pltfreq = str(tsd.index.freq).lower() if pltfreq.split(\" \")[0][1:] == \"1\": beginstr =","# label_rotation=[float, [\"pass\", []], 1], # label_skip=[int, [\"range\", [1, None]], 1], # drawstyle=[str,","of the \"IEEE\" journal. The \"grayscale\" is another style useful for photo-copyable black,","+======+=========+ | b | blue | +------+---------+ | g | green | +------+---------+","defaults to None] List of colors for the horizontal lines. If a single","--norm_yaxis, --lognorm_xaxis, and * --lognorm_yaxis options are deprecated. * * For --logx use","import pandas as pd from mando.rst_text_formatter import RSTHelpFormatter from tstoolbox import tsutils from","plot_styles ] plt.style.use(plot_styles) figsize = tsutils.make_list(figsize, n=2) _, ax = plt.subplots(figsize=figsize) if type","str [optional, defaults to '10,6.5'] The 'width,height' of plot in inches. legend [optional,","If multiple styles then each over rides some or all of the characteristics","y-axis. title : str [optional, defaults to ''] Title of chart. figsize :","# type=[str, [\"domain\", [\"kde\",],], 1,], # lag_plot_lag=[int, [\"range\", [1, None]], 1], # xtitle=[str,","value. Strips NANs from beginning and end. {force_freq} invert_xaxis [optional, default is False]","bar plots. label_skip : int [optional] Skip for major labels for bar plots.","str, # [ # \"domain\", # [\"weibull\", \"benard\", \"tukey\", \"gumbel\", \"hazen\", \"cunnane\", \"california\"],","label_skip=1, force_freq=None, drawstyle=\"default\", por=False, invert_xaxis=False, invert_yaxis=False, round_index=None, plotting_position=\"weibull\", prob_plot_sort_values=\"descending\", source_units=None, target_units=None, lag_plot_lag=1, plot_styles=\"bright\",","grid=False, label_rotation=None, label_skip=1, force_freq=None, drawstyle=\"default\", por=False, invert_xaxis=False, invert_yaxis=False, round_index=None, plotting_position=\"weibull\", prob_plot_sort_values=\"descending\", source_units=None, target_units=None,","\" \", \" \"] + plotutils.LINE_LIST], # None, # ], # vlines_x=[float, [\"pass\",","same length as `hlines_y`. If None will take from the color pallette in","\"california\"], # ], # 1, # ], # prob_plot_sort_values=[str, [\"domain\", [\"ascending\", \"descending\"]], 1],","pltfreq.split(\" \")[0][1:] == \"1\": beginstr = 3 else: beginstr = 1 if pltfreq","| +------+---------+ | g | green | +------+---------+ | r | red |","and 'markerstyles' options. Currently the 'style' option will override the others. Comma separated","1], # label_rotation=[float, [\"pass\", []], 1], # label_skip=[int, [\"range\", [1, None]], 1], #","'steps' is equivalent to 'steps-pre' and is maintained for backward-compatibility. ACCEPTS:: ['default' |","as the color for all vertical lines. If a list must be same","x | x | +-------+----------------+ | D | diamond | +-------+----------------+ | d","plotting_position=[ # str, # [ # \"domain\", # [\"weibull\", \"benard\", \"tukey\", \"gumbel\", \"hazen\",","instead of using the 'style' keyword. +---------+--------------+ | Code | Lines | +=========+==============+","logy DEPRECATED: use '--yaxis=\"log\"' instead. xlim [optional, default is based on range of","style. hlines_linestyles: [optional, defaults to None] List of linestyles for the horizontal lines.","in plotutils.MARKER_LIST: markerstyles.append(st[1]) try: linestyles.append(st[2:]) except IndexError: linestyles.append(\" \") else: markerstyles.append(\" \") linestyles.append(st[1:])","xaxis. One of 'arithmetic', 'log'. yaxis : str [optional, default is 'arithmetic'] Defines","depends on ``type``] Title of y-axis. title : str [optional, defaults to '']","style_loc = os.path.join( os.path.dirname(__file__), os.pardir, \"SciencePlots_styles\" ) plot_styles = [ os.path.join(style_loc, i +","single color then will be used as the color for all horizontal lines.","r\"\"\"Kernel density estimation of probability density function. \"kde\" will create a plot of","norm_yaxis DEPRECATED: use '--type=\"norm_yaxis\"' instead. lognorm_xaxis DEPRECATED: use '--type=\"lognorm_xaxis\"' instead. lognorm_yaxis DEPRECATED: use","False] Whether to plot on the secondary y-axis. If a list/tuple, which time-series","length as `hlines_y`. If None will take from the color pallette in the","H | hexagon2 | +-------+----------------+ | ``+`` | plus | +-------+----------------+ | x","the available matplotlib hatch types. Otherwise on the command line a comma separated","{columns} {start_date} {end_date} {clean} {skiprows} {index_type} {names} {source_units} {target_units} {round_index} plot_styles: str [optional,","default is \"default\"] Set the style of the plot. One or more of","None]], 1], # drawstyle=[str, [\"pass\", []], 1], # por=[bool, [\"domain\", [True, False]], 1],","norm_yaxis=False, lognorm_xaxis=False, lognorm_yaxis=False, xy_match_line=\"\", grid=False, label_rotation=None, label_skip=1, force_freq=None, drawstyle=\"default\", por=False, invert_xaxis=False, invert_yaxis=False, round_index=None,","separated list, or a list of strings if using the Python API. Separated","maximum x values to end each horizontal line. If a list must be","if invert_yaxis is True: plt.gca().invert_yaxis() plt.grid(grid) plt.title(title) plt.tight_layout() if ofilename is not None:","reference: http://matplotlib.org/api/markers_api.html style [optional, default is None] Still available, but if None is","invert_xaxis [optional, default is False] Invert the x-axis. invert_yaxis [optional, default is False]","`hlines_y`. If None will take for the standard linestyles list. vlines_x: [optional, defaults","< | triangle left | +-------+----------------+ | > | triangle right | +-------+----------------+","Number between 0 and 1 that represents the level of gray, where 0","= None if imarkerstyles is not None: m = next(imarkerstyles) else: m =","blindness. Black, White, and Gray Styles The \"ieee\" style is appropriate for black,","in linestyles] markerstyles = [\" \" if i is None else i for","| +-------+----------------+ | 1 | tri_down | +-------+----------------+ | 2 | tri_up |","bootstrap_size=bootstrap_size, bootstrap_samples=bootstrap_samples, norm_xaxis=norm_xaxis, norm_yaxis=norm_yaxis, lognorm_xaxis=lognorm_xaxis, lognorm_yaxis=lognorm_yaxis, xy_match_line=xy_match_line, grid=grid, label_rotation=label_rotation, label_skip=label_skip, force_freq=force_freq, drawstyle=drawstyle, por=por,","plotutils.LINE_LIST], # None, # ], # vlines_x=[float, [\"pass\", []], None], # vlines_ymin=[float, [\"pass\",","x | crossed diagonal | +-----------------+-------------------+ | o | small circle | +-----------------+-------------------+","= tsutils.make_list(colors) if linestyles == \"auto\": linestyles = plotutils.LINE_LIST else: linestyles = tsutils.make_list(linestyles)","l = None if c is not None: plt.setp(line, color=c) plt.setp(line, marker=m) plt.setp(line,","[optional, defaults to 'kde'] If plot type is 'scatter_matrix', this specifies the plot","the manipulation of time series.\"\"\" from __future__ import absolute_import, division, print_function import itertools","Color Names | +==================+ | red | +------------------+ | burlywood | +------------------+ |","1], # colors=[str, [\"pass\", []], None], # linestyles=[str, [\"domain\", [\"auto\", None, \"\", \"","secondary_y=False, mark_right=True, scatter_matrix_diagonal=\"kde\", bootstrap_size=50, bootstrap_samples=500, norm_xaxis=False, norm_yaxis=False, lognorm_xaxis=False, lognorm_yaxis=False, xy_match_line=\"\", grid=False, label_rotation=None, label_skip=1,","[\"domain\", [True, False]], 1], # mark_right=[bool, [\"domain\", [True, False]], 1], # scatter_matrix_diagonal=[str, [\"domain\",","1], # xy_match_line=[str, [\"pass\", []], 1], # grid=[bool, [\"domain\", [True, False]], 1], #","* For --lognorm_xaxis use --type=\"lognorm_xaxis\" * For --lognorm_yaxis use --type=\"lognorm_yaxis\" * \"\"\" )","DEPRECATED: use '--type=\"lognorm_xaxis\"' instead. lognorm_yaxis DEPRECATED: use '--type=\"lognorm_yaxis\"' instead. xy_match_line : str [optional,","[\"kde\", \"hist\"]], 1], # bootstrap_size=[int, [\"range\", [0, None]], 1], # xy_match_line=[str, [\"pass\", []],","\"] else: linestyles = [\" \" if i in [\" \", None] else","depends on ``type``] Title of x-axis. ytitle : str [optional, default depends on","1], # plotting_position=[ # str, # [ # \"domain\", # [\"weibull\", \"benard\", \"tukey\",","1000. ylim [optional, default is based on range of y values] Comma separated","random subsets of 'bootstrap_size'. norm_xaxis DEPRECATED: use '--type=\"norm_xaxis\"' instead. norm_yaxis DEPRECATED: use '--type=\"norm_yaxis\"'","Estimation or 'hist' for a histogram. bootstrap_size : int [optional, defaults to 50]","True] In case subplots=True, share x axis. sharey [optional, default to False] In","for all vertical lines. A missing value or None will start at the","| horizontal | +-----------------+-------------------+ | + | crossed | +-----------------+-------------------+ | x |","the \"IEEE\" journal. The \"grayscale\" is another style useful for photo-copyable black, white,","[optional] Skip for major labels for bar plots. drawstyle : str [optional, default","return the Matplotlib figure that can then be changed or added to as","then will be used as the linestyle for all horizontal lines. If a","default is based on range of y values] Comma separated lower and upper","legend_names=legend_names, subplots=subplots, sharex=sharex, sharey=sharey, colors=colors, linestyles=linestyles, markerstyles=markerstyles, bar_hatchstyles=bar_hatchstyles, style=style, logx=logx, logy=logy, xaxis=xaxis, yaxis=yaxis,","+ plotutils.LINE_LIST], None], # markerstyles=[str, [\"domain\", [\"auto\", None, \"\", \" \", \" \"]","plotutils.know_your_limits(ylim, axis=yaxis) plot_styles = tsutils.make_list(plot_styles) + [\"no-latex\"] style_loc = os.path.join( os.path.dirname(__file__), os.pardir, \"SciencePlots_styles\"",": str [optional, defaults to ''] Title of chart. figsize : str [optional,","3 | tri_left | +-------+----------------+ | 4 | tri_right | +-------+----------------+ | 8","| +=======+================+ | . | point | +-------+----------------+ | o | circle |","1], # xtitle=[str, [\"pass\", []], 1], # ytitle=[str, [\"pass\", []], 1], # title=[str,","| small circle | +-----------------+-------------------+ | O | large circle | +-----------------+-------------------+ |","minimum x values for all vertical lines. A missing value or None will","tsd.plot.kde( legend=legend, subplots=subplots, sharex=sharex, sharey=sharey, style=None, logx=logx, logy=logy, xlim=xlim, ylim=ylim, secondary_y=secondary_y, figsize=figsize, )","day) short_freq = \"({})\".format(pltfreq[beginstr:-1]) except AttributeError: short_freq = \"\" if colors == \"auto\":","None is replaced by 'colors', 'linestyles', and 'markerstyles' options. Currently the 'style' option","estimation (KDE). {ydata} Parameters ---------- {input_ts} ofilename : str [optional, defaults to 'plot.png']","chartreuse | +------------------+ | ...etc. | +------------------+ Color reference: http://matplotlib.org/api/colors_api.html linestyles [optional, default","| crossed | +-----------------+-------------------+ | x | crossed diagonal | +-----------------+-------------------+ | o","to have the same number of style strings as time-series to plot. You","Description | +=================+===================+ | / | diagonal hatching | +-----------------+-------------------+ | ``\\`` |","| +---------+--------------+ | : | dotted | +---------+--------------+ | None | draw nothing","tsutils.make_list(hlines_colors) hlines_linestyles = tsutils.make_list(hlines_linestyles) nxlim = ax.get_xlim() if hlines_xmin is None: hlines_xmin =","current style. 2. Single character code from the table below. +------+---------+ | Code","Legend would normally use the time-series names associated with the input data. The","[optional, default is True] When using a secondary_y axis, should the legend label","hlines_y = tsutils.make_list(hlines_y) hlines_xmin = tsutils.make_list(hlines_xmin) hlines_xmax = tsutils.make_list(hlines_xmax) hlines_colors = tsutils.make_list(hlines_colors) hlines_linestyles","\"auto\": bar_hatchstyles = plotutils.HATCH_LIST else: bar_hatchstyles = tsutils.make_list(bar_hatchstyles) if markerstyles == \"auto\": markerstyles","linestyles] markerstyles = [\" \" if i is None else i for i","AttributeError: short_freq = \"\" if colors == \"auto\": colors = None else: colors","+------+---------+ | c | cyan | +------+---------+ | m | magenta | +------+---------+","to help pretty print the frequency try: try: pltfreq = str(tsd.index.freq, \"utf-8\").lower() except","vlines_ymax=None, vlines_colors=None, vlines_linestyles=\"-\", ): r\"\"\"Kernel density estimation of probability density function. \"kde\" will","[\"domain\", [True, False]], 1], # colors=[str, [\"pass\", []], None], # linestyles=[str, [\"domain\", [\"auto\",","table below. +------+---------+ | Code | Color | +======+=========+ | b | blue","lines. If a list must be same length as `vlines_x`. If None will","lognorm_yaxis, weibull_xaxis, and weibull_yaxis. prob_plot_sort_values : str [optional, default is 'descending'] How to","One or more of Matplotlib styles \"classic\", \"Solarize_Light2\", \"bmh\", \"dark_background\", \"fast\", \"fivethirtyeight\", \"ggplot\",","secondary_y=secondary_y, figsize=figsize, ) for index, line in enumerate(ax.lines): if icolors is not None:","| +------------------+ | chartreuse | +------------------+ | ...etc. | +------------------+ Color reference: http://matplotlib.org/api/colors_api.html","all horizontal lines. A missing value or None will end at the maximum","implementation of # mando legend = bool(legend == \"\" or legend == \"True\"","[]], 1], # grid=[bool, [\"domain\", [True, False]], 1], # label_rotation=[float, [\"pass\", []], 1],","| Lines | +=========+==============+ | ``-`` | solid | +---------+--------------+ | -- |","available, but if None is replaced by 'colors', 'linestyles', and 'markerstyles' options. Currently","for example 'r*--' is a red dashed line with star marker. bar_hatchstyles [optional,","# \"fivethirtyeight\", # \"ggplot\", # \"grayscale\", # \"seaborn\", # \"seaborn-bright\", # \"seaborn-colorblind\", #","'filename.png' will create a PNG file. If used within Python, and `ofilename` is","None will take for the standard linestyles list. \"\"\" plt = kde( input_ts=input_ts,","# \"seaborn-deep\", # \"seaborn-muted\", # \"seaborn-notebook\", # \"seaborn-paper\", # \"seaborn-pastel\", # \"seaborn-poster\", #","| +------+---------+ | y | yellow | +------+---------+ | k | black |","separated lower and upper limits for the y-axis of the plot. See `xlim`","plot grid lines on the major ticks. label_rotation : int [optional] Rotation for","data set. You must supply a comma separated list of strings for each","maximum x values to end each vertical line. If a list must be","[\"auto\", None, \"\", \" \", \" \"] + plotutils.MARKER_LIST], None], # bar_hatchstyles=[str, [\"domain\",","None] List of x values where to place a vertical line. vlines_ymin: [optional,","None]], 2], # legend=[bool, [\"domain\", [True, False]], 1], # legend_names=[str, [\"pass\", []], 1],","\"weibull_xaxis\", \"norm_yaxis\", \"lognorm_yaxis\", \"weibull_yaxis\", ]: if hlines_y is not None: if type in","+---------+--------------+ | -- | dashed | +---------+--------------+ | -. | dash_dot | +---------+--------------+","invert_yaxis is True: plt.gca().invert_yaxis() plt.grid(grid) plt.title(title) plt.tight_layout() if ofilename is not None: plt.savefig(ofilename)","values where to place a vertical line. vlines_ymin: [optional, defaults to None] List","of the plot. For example, '--xlim 1,1000' would limit the plot from 1","HTML Color Names | +==================+ | red | +------------------+ | burlywood | +------------------+","must be same length as `vlines_x`. If a single number will be the","not None: if type in [\"norm_yaxis\", \"lognorm_yaxis\", \"weibull_yaxis\"]: hlines_y = ppf(tsutils.make_list(hlines_y)) plt.hlines( hlines_y,","take from the color pallette in the current plot style. hlines_linestyles: [optional, defaults","g | green | +------+---------+ | r | red | +------+---------+ | c","from tstoolbox import tsutils from .. import plotutils warnings.filterwarnings(\"ignore\") @mando.command(\"kde\", formatter_class=RSTHelpFormatter, doctype=\"numpy\") @tsutils.doc(plotutils.ldocstrings)","{force_freq} invert_xaxis [optional, default is False] Invert the x-axis. invert_yaxis [optional, default is","x values to end each horizontal line. If a list must be same","| +-------+----------------+ | < | triangle left | +-------+----------------+ | > | triangle",": str [optional, defaults to 'kde'] If plot type is 'scatter_matrix', this specifies","draw nothing | +---------+--------------+ | ' ' | draw nothing | +---------+--------------+ |","__future__ import absolute_import, division, print_function import itertools import os import warnings import mando","share y axis. colors [optional, default is 'auto'] The default 'auto' will cycle","], # ) def kde( input_ts=\"-\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\"datetime\", names=None,","= plotutils.MARKER_LIST else: markerstyles = tsutils.make_list(markerstyles) if markerstyles is None: markerstyles = \"","!= \"auto\": nstyle = tsutils.make_list(style) if len(nstyle) != len(tsd.columns): raise ValueError( tsutils.error_wrapper( \"\"\"","from mando.rst_text_formatter import RSTHelpFormatter from tstoolbox import tsutils from .. import plotutils warnings.filterwarnings(\"ignore\")","keyword. +---------+--------------+ | Code | Lines | +=========+==============+ | ``-`` | solid |",": str [optional, default is 'weibull'] {plotting_position_table} Only used for norm_xaxis, norm_yaxis, lognorm_xaxis,","level of gray, where 0 is white an 1 is black. 4. Any","print_function import itertools import os import warnings import mando import numpy as np","columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\"datetime\", names=None, ofilename=\"plot.png\", xtitle=\"\", ytitle=\"\", title=\"\", figsize=\"10,6.0\", legend=None,","with the input data. The 'legend_names' option allows you to override the names","| +-----------------+-------------------+ logx DEPRECATED: use '--xaxis=\"log\"' instead. logy DEPRECATED: use '--yaxis=\"log\"' instead. xlim","estimation of probability density function. \"kde\" will create a plot of estimation of","# lag_plot_lag=[int, [\"range\", [1, None]], 1], # xtitle=[str, [\"pass\", []], 1], # ytitle=[str,","| +-------+----------------+ | 3 | tri_left | +-------+----------------+ | 4 | tri_right |","plt.vlines( vlines_x, vlines_ymin, vlines_ymax, colors=vlines_colors, linestyles=vlines_linestyles, ) plt.xlabel(xtitle) plt.ylabel(ytitle) if invert_xaxis is True:","| Description | +=================+===================+ | / | diagonal hatching | +-----------------+-------------------+ | ``\\``","figsize=figsize, ) for index, line in enumerate(ax.lines): if icolors is not None: c","[optional, defaults is ''] Will add a match line where x == y.","plotutils.MARKER_LIST], None], # bar_hatchstyles=[str, [\"domain\", [\"auto\", None, \"\", \" \", \" \"] +","int [optional, defaults to 50] The size of the random subset for 'bootstrap'","the values for the probability plots. Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis,","the characteristics of the previous. Color Blind Appropriate Styles The styles \"seaborn-colorblind\", \"tableau-colorblind10\",","# xlim=[float, [\"pass\", []], 2], # ylim=[float, [\"pass\", []], 2], # xaxis=[str, [\"domain\",","for all horizontal lines. A missing value or None will end at the","for style which has {} style strings, but you have {} time-series. \"\"\".format(","[\"domain\", [\"auto\", None, \"\", \" \", \" \"] + plotutils.MARKER_LIST], None], # bar_hatchstyles=[str,","| diagonal hatching | +-----------------+-------------------+ | ``\\`` | back diagonal | +-----------------+-------------------+ |","colors = tsutils.make_list(colors) if linestyles == \"auto\": linestyles = plotutils.LINE_LIST else: linestyles =","is None: vlines_ymax = nylim[1] if type in [ \"time\", \"xy\", \"bar\", \"bar_stacked\",","| +-----------------+-------------------+ | ``\\`` | back diagonal | +-----------------+-------------------+ | ``|`` | vertical","nylim[1] if type in [ \"time\", \"xy\", \"bar\", \"bar_stacked\", \"histogram\", \"norm_xaxis\", \"lognorm_xaxis\", \"weibull_xaxis\",","if using the Python API. To not display lines use a space ('","for the standard linestyles list. vlines_x: [optional, defaults to None] List of x","of the plot. One or more of Matplotlib styles \"classic\", \"Solarize_Light2\", \"bmh\", \"dark_background\",","legend_names=None, subplots=False, sharex=True, sharey=False, colors=\"auto\", linestyles=\"auto\", markerstyles=\" \", bar_hatchstyles=\"auto\", style=\"auto\", logx=False, logy=False, xaxis=\"arithmetic\",","or a list of strings if using the Python API. To not display","\".mplstyle\") if os.path.exists(os.path.join(style_loc, i + \".mplstyle\")) else i for i in plot_styles ]","The styles \"seaborn-colorblind\", \"tableau-colorblind10\", \"bright\", \"vibrant\", and \"muted\" are all styles that are","values to end each vertical line. If a list must be same length","markerstyles == \"auto\": markerstyles = plotutils.MARKER_LIST else: markerstyles = tsutils.make_list(markerstyles) if markerstyles is","| s | square | +-------+----------------+ | p | pentagon | +-------+----------------+ |","'default'] 'default' connects the points with lines. The steps variants produce step-plots. 'steps'","line. If a list must be same length as `vlines_x`. If a single","the data and set the upper limit to 1000. ylim [optional, default is","instead. norm_yaxis DEPRECATED: use '--type=\"norm_yaxis\"' instead. lognorm_xaxis DEPRECATED: use '--type=\"lognorm_xaxis\"' instead. lognorm_yaxis DEPRECATED:","'arithmetic', 'log'. yaxis : str [optional, default is 'arithmetic'] Defines the type of","True or lognorm_xaxis is True or lognorm_yaxis is True ): warnings.warn( \"\"\" *","chosen. xtitle : str [optional, default depends on ``type``] Title of x-axis. ytitle",": str [optional, default depends on ``type``] Title of y-axis. title : str","for each time-series in the data set. subplots [optional, defaults to False] Make","[0, None]], 1], # xy_match_line=[str, [\"pass\", []], 1], # grid=[bool, [\"domain\", [True, False]],","lnames = plotutils.check(type, tsd, legend_names) # This is to help pretty print the","for the entire plot. vlines_ymax: [optional, defaults to None] List of maximum x","if ( logx is True or logy is True or norm_xaxis is True",") if xaxis == \"log\": logx = True if yaxis == \"log\": logy","{} style strings, but you have {} time-series. \"\"\".format( style, len(nstyle), len(tsd.columns) )","if type equal to \"bar\", \"barh\", \"bar_stacked\", and \"barh_stacked\"] If 'auto' will iterate","# mando legend = bool(legend == \"\" or legend == \"True\" or legend","= \"\" if colors == \"auto\": colors = None else: colors = tsutils.make_list(colors)","por=por, ) tsd, lnames = plotutils.check(type, tsd, legend_names) # This is to help","\"cunnane\", \"california\"], # ], # 1, # ], # prob_plot_sort_values=[str, [\"domain\", [\"ascending\", \"descending\"]],","False] Invert the y-axis. plotting_position : str [optional, default is 'weibull'] {plotting_position_table} Only","None: if type in [\"norm_yaxis\", \"lognorm_yaxis\", \"weibull_yaxis\"]: hlines_y = ppf(tsutils.make_list(hlines_y)) plt.hlines( hlines_y, hlines_xmin,","and upper limits for the y-axis of the plot. See `xlim` for examples.","a histogram. bootstrap_size : int [optional, defaults to 50] The size of the","use --type=\"lognorm_yaxis\" * \"\"\" ) if xaxis == \"log\": logx = True if","the color pallette in the current plot style. hlines_linestyles: [optional, defaults to None]","octagon | +-------+----------------+ | s | square | +-------+----------------+ | p | pentagon","code. grid [optional, default is False] Whether to plot grid lines on the","string (day) OR (2 day) short_freq = \"({})\".format(pltfreq[beginstr:-1]) except AttributeError: short_freq = \"\"","bootstrap_samples=bootstrap_samples, norm_xaxis=norm_xaxis, norm_yaxis=norm_yaxis, lognorm_xaxis=lognorm_xaxis, lognorm_yaxis=lognorm_yaxis, xy_match_line=xy_match_line, grid=grid, label_rotation=label_rotation, label_skip=label_skip, force_freq=force_freq, drawstyle=drawstyle, por=por, invert_xaxis=invert_xaxis,","str [optional, default is 'weibull'] {plotting_position_table} Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis,","the names in the data set. You must supply a comma separated list","the chart size to fit in a column of the \"IEEE\" journal. The","[0, None]], 2], # legend=[bool, [\"domain\", [True, False]], 1], # legend_names=[str, [\"pass\", []],","plot in inches. legend [optional, defaults to True] Whether to display the legend.","end. {force_freq} invert_xaxis [optional, default is False] Invert the x-axis. invert_yaxis [optional, default","False]], 1], # legend_names=[str, [\"pass\", []], 1], # subplots=[bool, [\"domain\", [True, False]], 1],","the linestyle code. Separated 'colors', 'linestyles', and 'markerstyles' instead of using the 'style'","xlim=[float, [\"pass\", []], 2], # ylim=[float, [\"pass\", []], 2], # xaxis=[str, [\"domain\", [\"arithmetic\",","markerstyles = [\" \" if i is None else i for i in","[optional, default is False] Invert the y-axis. plotting_position : str [optional, default is","be used as the minimum x values for all vertical lines. A missing","ibar_hatchstyles = itertools.cycle(bar_hatchstyles) if ( logx is True or logy is True or","\"descending\"]], 1], # plot_styles=[ # str, # [ # \"domain\", # [ #","| thin diamond | +-------+----------------+ | _ | hlines_y | +-------+----------------+ | None","x-axis. invert_yaxis [optional, default is False] Invert the y-axis. plotting_position : str [optional,","plotutils.check(type, tsd, legend_names) # This is to help pretty print the frequency try:","list must be same length as `vlines_x`. If None will take for the","if colors is not None: icolors = itertools.cycle(colors) else: icolors = None imarkerstyles","| blue | +------+---------+ | g | green | +------+---------+ | r |","# [ # \"classic\", # \"Solarize_Light2\", # \"bmh\", # \"dark_background\", # \"fast\", #","+---------+--------------+ | : | dotted | +---------+--------------+ | None | draw nothing |","None] else i for i in linestyles] markerstyles = [\" \" if i","space (' ') as the linestyle code. Separated 'colors', 'linestyles', and 'markerstyles' instead","use a space (' ') as the linestyle code. Separated 'colors', 'linestyles', and","legend_names : str [optional, defaults to None] Legend would normally use the time-series","# \"classic\", # \"Solarize_Light2\", # \"bmh\", # \"dark_background\", # \"fast\", # \"fivethirtyeight\", #","hlines_xmin = tsutils.make_list(hlines_xmin) hlines_xmax = tsutils.make_list(hlines_xmax) hlines_colors = tsutils.make_list(hlines_colors) hlines_linestyles = tsutils.make_list(hlines_linestyles) nxlim","work around some old option defaults with the implementation of # mando legend","else: beginstr = 1 if pltfreq == \"none\": short_freq = \"\" else: #","xy_match_line : str [optional, defaults is ''] Will add a match line where","ax = tsd.plot.kde( legend=legend, subplots=subplots, sharex=sharex, sharey=sharey, style=None, logx=logx, logy=logy, xlim=xlim, ylim=ylim, secondary_y=secondary_y,","Matplotlib figure that can then be changed or added to as needed. lag_plot_lag","\"weibull_yaxis\", ]: if hlines_y is not None: if type in [\"norm_yaxis\", \"lognorm_yaxis\", \"weibull_yaxis\"]:","logx DEPRECATED: use '--xaxis=\"log\"' instead. logy DEPRECATED: use '--yaxis=\"log\"' instead. xlim [optional, default","--lognorm_xaxis use --type=\"lognorm_xaxis\" * For --lognorm_yaxis use --type=\"lognorm_yaxis\" * \"\"\" ) if xaxis","== \"1\": beginstr = 3 else: beginstr = 1 if pltfreq == \"none\":","``*`` | star | +-------+----------------+ | h | hexagon1 | +-------+----------------+ | H","Python API. +-----------------+-------------------+ | bar_hatchstyles | Description | +=================+===================+ | / | diagonal","], # vlines_x=[float, [\"pass\", []], None], # vlines_ymin=[float, [\"pass\", []], None], # vlines_ymax=[float,","s | square | +-------+----------------+ | p | pentagon | +-------+----------------+ | ``*``","| triangle down | +-------+----------------+ | ^ | triangle up | +-------+----------------+ |","[\"kde\",],], 1,], # lag_plot_lag=[int, [\"range\", [1, None]], 1], # xtitle=[str, [\"pass\", []], 1],","function. \"kde\" will create a plot of estimation of the probability density function","of estimation of the probability density function based on the data called kernel","\"classic\", \"Solarize_Light2\", \"bmh\", \"dark_background\", \"fast\", \"fivethirtyeight\", \"ggplot\", \"grayscale\", \"seaborn\", \"seaborn-bright\", \"seaborn-colorblind\", \"seaborn-dark\", \"seaborn-dark-palette\",","styles that are setup to be able to be distinguished by someone with","``-`` | solid | +---------+--------------+ | -- | dashed | +---------+--------------+ | -.","str [optional, default is 'arithmetic'] Defines the type of the xaxis. One of","is equivalent to 'steps-pre' and is maintained for backward-compatibility. ACCEPTS:: ['default' | 'steps'","for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. {columns} {start_date} {end_date} {clean} {skiprows}","= tsutils.make_list(vlines_ymin) vlines_ymax = tsutils.make_list(vlines_ymax) vlines_colors = tsutils.make_list(vlines_colors) vlines_linestyles = tsutils.make_list(vlines_linestyles) nylim =","label_rotation : int [optional] Rotation for major labels for bar plots. label_skip :","dashed | +---------+--------------+ | -. | dash_dot | +---------+--------------+ | : | dotted","| tri_left | +-------+----------------+ | 4 | tri_right | +-------+----------------+ | 8 |","type = \"kde\" import matplotlib matplotlib.use(\"Agg\") import matplotlib.pyplot as plt from matplotlib.ticker import","is 'auto'] The default 'auto' will cycle through matplotlib colors in the chosen","{} time-series. \"\"\".format( style, len(nstyle), len(tsd.columns) ) ) ) colors = [] markerstyles","None imarkerstyles = itertools.cycle(markerstyles) ilinestyles = itertools.cycle(linestyles) # Only for bar, barh, bar_stacked,",") colors = [] markerstyles = [] linestyles = [] for st in","| draw nothing | +---------+--------------+ | ' ' | draw nothing | +---------+--------------+","ValueError( tsutils.error_wrapper( \"\"\" You have to have the same number of style strings","tsutils.make_list(plot_styles) + [\"no-latex\"] style_loc = os.path.join( os.path.dirname(__file__), os.pardir, \"SciencePlots_styles\" ) plot_styles = [","default is 'weibull'] {plotting_position_table} Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and","| +-----------------+-------------------+ | o | small circle | +-----------------+-------------------+ | O | large","1 | tri_down | +-------+----------------+ | 2 | tri_up | +-------+----------------+ | 3","sharey=[bool, [\"domain\", [True, False]], 1], # colors=[str, [\"pass\", []], None], # linestyles=[str, [\"domain\",","pltfreq = str(tsd.index.freq, \"utf-8\").lower() except TypeError: pltfreq = str(tsd.index.freq).lower() if pltfreq.split(\" \")[0][1:] ==","# \"muted\", # \"retro\", # ], # ], # None, # ], #","# ], # ) def kde( input_ts=\"-\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\"datetime\",","of x-axis. ytitle : str [optional, default depends on ``type``] Title of y-axis.","+-----------------+-------------------+ | o | small circle | +-----------------+-------------------+ | O | large circle","a column of the \"IEEE\" journal. The \"grayscale\" is another style useful for","* * The --logx, --logy, --norm_xaxis, --norm_yaxis, --lognorm_xaxis, and * --lognorm_yaxis options are","+-------+----------------+ | > | triangle right | +-------+----------------+ | 1 | tri_down |","to ''] Title of chart. figsize : str [optional, defaults to '10,6.5'] The","\", bar_hatchstyles=\"auto\", style=\"auto\", logx=False, logy=False, xaxis=\"arithmetic\", yaxis=\"arithmetic\", xlim=None, ylim=None, secondary_y=False, mark_right=True, scatter_matrix_diagonal=\"kde\", bootstrap_size=50,","the table below. +------+---------+ | Code | Color | +======+=========+ | b |","HTML color names. +------------------+ | HTML Color Names | +==================+ | red |","| . | dots | +-----------------+-------------------+ | * | stars | +-----------------+-------------------+ logx","| tri_down | +-------+----------------+ | 2 | tri_up | +-------+----------------+ | 3 |","value for the entire plot. hlines_colors: [optional, defaults to None] List of colors","i + \".mplstyle\")) else i for i in plot_styles ] plt.style.use(plot_styles) figsize =","`vlines_x`. If None will take from the color pallette in the current plot","| cyan | +------+---------+ | m | magenta | +------+---------+ | y |","Otherwise on the command line a comma separated list, or a list of","Code | Markers | +=======+================+ | . | point | +-------+----------------+ | o","mando legend = bool(legend == \"\" or legend == \"True\" or legend is","| dash_dot | +---------+--------------+ | : | dotted | +---------+--------------+ | None |","defaults to 50] The size of the random subset for 'bootstrap' plot. bootstrap_samples","\", None] else i for i in linestyles] markerstyles = [\" \" if","using the Python API. +-----------------+-------------------+ | bar_hatchstyles | Description | +=================+===================+ | /","| ``|`` | vertical | +-----------------+-------------------+ | - | horizontal | +-----------------+-------------------+ |","| crossed diagonal | +-----------------+-------------------+ | o | small circle | +-----------------+-------------------+ |","the maximum x value for the entire plot. hlines_colors: [optional, defaults to None]","input_ts=\"-\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\"datetime\", names=None, ofilename=\"plot.png\", xtitle=\"\", ytitle=\"\", title=\"\", figsize=\"10,6.0\",","\"\" if colors == \"auto\": colors = None else: colors = tsutils.make_list(colors) if","\"gumbel\", \"hazen\", \"cunnane\", \"california\"], # ], # 1, # ], # prob_plot_sort_values=[str, [\"domain\",","colors = [] markerstyles = [] linestyles = [] for st in nstyle:","The number of random subsets of 'bootstrap_size'. norm_xaxis DEPRECATED: use '--type=\"norm_xaxis\"' instead. norm_yaxis","is 'arithmetic'] Defines the type of the yaxis. One of 'arithmetic', 'log'. secondary_y","same number of style strings as time-series to plot. You supplied '{}' for","will iterate through the available matplotlib line types. Otherwise on the command line","ylim=ylim, secondary_y=secondary_y, mark_right=mark_right, scatter_matrix_diagonal=scatter_matrix_diagonal, bootstrap_size=bootstrap_size, bootstrap_samples=bootstrap_samples, norm_xaxis=norm_xaxis, norm_yaxis=norm_yaxis, lognorm_xaxis=lognorm_xaxis, lognorm_yaxis=lognorm_yaxis, xy_match_line=xy_match_line, grid=grid, label_rotation=label_rotation,","c | cyan | +------+---------+ | m | magenta | +------+---------+ | y","None], # vlines_ymax=[float, [\"pass\", []], None], # vlines_colors=[str, [\"pass\", []], None], # vlines_linestyles=[","to plot grid lines on the major ticks. label_rotation : int [optional] Rotation","# This is to help pretty print the frequency try: try: pltfreq =","secondary_y=[bool, [\"domain\", [True, False]], 1], # mark_right=[bool, [\"domain\", [True, False]], 1], # scatter_matrix_diagonal=[str,","kde( input_ts=\"-\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\"datetime\", names=None, ofilename=\"plot.png\", xtitle=\"\", ytitle=\"\", title=\"\",","lag_plot_lag=1, plot_styles=\"bright\", hlines_y=None, hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\"-\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\"-\", ):","is not None: m = next(imarkerstyles) else: m = None if ilinestyles is","the Python API. +-----------------+-------------------+ | bar_hatchstyles | Description | +=================+===================+ | / |","None], # markerstyles=[str, [\"domain\", [\"auto\", None, \"\", \" \", \" \"] + plotutils.MARKER_LIST],","from the table below. +------+---------+ | Code | Color | +======+=========+ | b","None: c = next(icolors) else: c = None if imarkerstyles is not None:","the type of the yaxis. One of 'arithmetic', 'log'. secondary_y [optional, default is"],"string":"[\n \"black | +------+---------+ 3. Number between 0 and 1 that represents the level\",\n \"same length as `vlines_x`. If None will take from the color pallette in\",\n \"the color pallette in the current plot style. vlines_linestyles: [optional, defaults to None]\",\n \"for bar plots. drawstyle : str [optional, default is 'default'] 'default' connects the\",\n \"markerstyles=markerstyles, bar_hatchstyles=bar_hatchstyles, style=style, logx=logx, logy=logy, xaxis=xaxis, yaxis=yaxis, xlim=xlim, ylim=ylim, secondary_y=secondary_y, mark_right=mark_right, scatter_matrix_diagonal=scatter_matrix_diagonal, bootstrap_size=bootstrap_size,\",\n \"import warnings import mando import numpy as np import pandas as pd from\",\n \"is not None: l = next(ilinestyles) else: l = None if c is\",\n \"0 and 1 that represents the level of gray, where 0 is white\",\n \"round_index=round_index, dropna=\\\"all\\\", source_units=source_units, target_units=target_units, clean=clean, por=por, ) tsd, lnames = plotutils.check(type, tsd, legend_names)\",\n \"--logy, --norm_xaxis, --norm_yaxis, --lognorm_xaxis, and * --lognorm_yaxis options are deprecated. * * For\",\n \"else: c = None if imarkerstyles is not None: m = next(imarkerstyles) else:\",\n \"| ' ' | nothing | +-------+----------------+ | '' | nothing | +-------+----------------+\",\n \"| +-----------------+-------------------+ | + | crossed | +-----------------+-------------------+ | x | crossed diagonal\",\n \"the entire plot. vlines_ymax: [optional, defaults to None] List of maximum x values\",\n \"will override the others. Comma separated matplotlib style strings per time-series. Just combine\",\n \"separated list, or a list of strings if using the Python API. To\",\n \"+-----------------+-------------------+ | . | dots | +-----------------+-------------------+ | * | stars | +-----------------+-------------------+\",\n \"linestyles = tsutils.make_list(linestyles) if bar_hatchstyles == \\\"auto\\\": bar_hatchstyles = plotutils.HATCH_LIST else: bar_hatchstyles =\",\n \"# \\\"seaborn-bright\\\", # \\\"seaborn-colorblind\\\", # \\\"seaborn-dark\\\", # \\\"seaborn-dark-palette\\\", # \\\"seaborn-darkgrid\\\", # \\\"seaborn-deep\\\", #\",\n \"lines. If a single linestyle then will be used as the linestyle for\",\n \"each time-series in the data set. subplots [optional, defaults to False] Make separate\",\n \"# \\\"retro\\\", # ], # ], # None, # ], # hlines_y=[float, [\\\"pass\\\",\",\n \"value for all vertical lines. A missing value or None will end at\",\n \"cyan | +------+---------+ | m | magenta | +------+---------+ | y | yellow\",\n \"NANs from beginning and end. {force_freq} invert_xaxis [optional, default is False] Invert the\",\n \"[optional, default to 1] The lag used if ``type`` \\\"lag_plot\\\" is chosen. xtitle\",\n \"bar plots. drawstyle : str [optional, default is 'default'] 'default' connects the points\",\n \"or more of Matplotlib styles \\\"classic\\\", \\\"Solarize_Light2\\\", \\\"bmh\\\", \\\"dark_background\\\", \\\"fast\\\", \\\"fivethirtyeight\\\", \\\"ggplot\\\", \\\"grayscale\\\",\",\n \"): warnings.warn( \\\"\\\"\\\" * * The --logx, --logy, --norm_xaxis, --norm_yaxis, --lognorm_xaxis, and *\",\n \"changed or added to as needed. lag_plot_lag [optional, default to 1] The lag\",\n \"division, print_function import itertools import os import warnings import mando import numpy as\",\n \"for the vertical lines. If a single linestyle then will be used as\",\n \"| _ | hlines_y | +-------+----------------+ | None | nothing | +-------+----------------+ |\",\n \"1, # ], # prob_plot_sort_values=[str, [\\\"domain\\\", [\\\"ascending\\\", \\\"descending\\\"]], 1], # plot_styles=[ # str,\",\n \"green | +------+---------+ | r | red | +------+---------+ | c | cyan\",\n \"\\\"ggplot\\\", # \\\"grayscale\\\", # \\\"seaborn\\\", # \\\"seaborn-bright\\\", # \\\"seaborn-colorblind\\\", # \\\"seaborn-dark\\\", # \\\"seaborn-dark-palette\\\",\",\n \"xtitle=[str, [\\\"pass\\\", []], 1], # ytitle=[str, [\\\"pass\\\", []], 1], # title=[str, [\\\"pass\\\", []],\",\n \"ytitle = ytitle or \\\"Density\\\" if legend is True: plt.legend(loc=\\\"best\\\") if hlines_y is\",\n \"default is 'arithmetic'] Defines the type of the yaxis. One of 'arithmetic', 'log'.\",\n \"\\\"\\\"\\\" * * The --logx, --logy, --norm_xaxis, --norm_yaxis, --lognorm_xaxis, and * --lognorm_yaxis options\",\n \"* For --logx use --xaxis=\\\"log\\\" * For --logy use --yaxis=\\\"log\\\" * For --norm_xaxis\",\n \"bootstrap_samples=500, norm_xaxis=False, norm_yaxis=False, lognorm_xaxis=False, lognorm_yaxis=False, xy_match_line=\\\"\\\", grid=False, label_rotation=None, label_skip=1, force_freq=None, drawstyle=\\\"default\\\", por=False, invert_xaxis=False,\",\n \"itertools.cycle(markerstyles) ilinestyles = itertools.cycle(linestyles) # Only for bar, barh, bar_stacked, and barh_stacked. ibar_hatchstyles\",\n \"= tsutils.make_list(vlines_colors) vlines_linestyles = tsutils.make_list(vlines_linestyles) nylim = ax.get_ylim() if vlines_ymin is None: vlines_ymin\",\n \"[\\\"pass\\\", []], 1], # label_skip=[int, [\\\"range\\\", [1, None]], 1], # drawstyle=[str, [\\\"pass\\\", []],\",\n \"else i for i in markerstyles] if colors is not None: icolors =\",\n \"Output filename for the plot. Extension defines the type, for example 'filename.png' will\",\n \"| +-------+----------------+ | v | triangle down | +-------+----------------+ | ^ | triangle\",\n \"| stars | +-----------------+-------------------+ logx DEPRECATED: use '--xaxis=\\\"log\\\"' instead. logy DEPRECATED: use '--yaxis=\\\"log\\\"'\",\n \"lognorm_yaxis=lognorm_yaxis, xy_match_line=xy_match_line, grid=grid, label_rotation=label_rotation, label_skip=label_skip, force_freq=force_freq, drawstyle=drawstyle, por=por, invert_xaxis=invert_xaxis, invert_yaxis=invert_yaxis, round_index=round_index, plotting_position=plotting_position, prob_plot_sort_values=prob_plot_sort_values,\",\n \"of minimum x values to start the horizontal line. If a list must\",\n \"strings per time-series. Just combine codes in 'ColorMarkerLine' order, for example 'r*--' is\",\n \"+---------+--------------+ | Code | Lines | +=========+==============+ | ``-`` | solid | +---------+--------------+\",\n \"\\\", \\\" \\\"] + plotutils.LINE_LIST], # None, # ], # vlines_x=[float, [\\\"pass\\\", []],\",\n \"True or norm_xaxis is True or norm_yaxis is True or lognorm_xaxis is True\",\n \"int [optional] Rotation for major labels for bar plots. label_skip : int [optional]\",\n \"if linestyles is None: linestyles = [\\\" \\\"] else: linestyles = [\\\" \\\"\",\n \"colors is not None: icolors = itertools.cycle(colors) else: icolors = None imarkerstyles =\",\n \"plt.xlabel(xtitle) plt.ylabel(ytitle) if invert_xaxis is True: plt.gca().invert_xaxis() if invert_yaxis is True: plt.gca().invert_yaxis() plt.grid(grid)\",\n \"separated list, or a list of strings if using the Python API. +-----------------+-------------------+\",\n \"iterate through the available matplotlib hatch types. Otherwise on the command line a\",\n \"hatching | +-----------------+-------------------+ | ``\\\\`` | back diagonal | +-----------------+-------------------+ | ``|`` |\",\n \"available matplotlib marker types. Otherwise on the command line a comma separated list,\",\n \"for all horizontal lines. A missing value or None will start at the\",\n \"circle | +-----------------+-------------------+ | O | large circle | +-----------------+-------------------+ | . |\",\n \"to None] List of colors for the vertical lines. If a single color\",\n \"and weibull_yaxis. prob_plot_sort_values : str [optional, default is 'descending'] How to sort the\",\n \"needed. lag_plot_lag [optional, default to 1] The lag used if ``type`` \\\"lag_plot\\\" is\",\n \"plot from 1 to 1000, where '--xlim ,1000' would base the lower limit\",\n \"# str, # [ # \\\"domain\\\", # [ # \\\"classic\\\", # \\\"Solarize_Light2\\\", #\",\n \"for 'bootstrap' plot. bootstrap_samples [optional, defaults to 500] The number of random subsets\",\n \"must be same length as `vlines_x`. If None will take for the standard\",\n \"are setup to be able to be distinguished by someone with color blindness.\",\n \"\\\" if i in [\\\" \\\", None] else i for i in linestyles]\",\n \"\\\"1\\\": beginstr = 3 else: beginstr = 1 if pltfreq == \\\"none\\\": short_freq\",\n \"freq string (day) OR (2 day) short_freq = \\\"({})\\\".format(pltfreq[beginstr:-1]) except AttributeError: short_freq =\",\n \"'10,6.5'] The 'width,height' of plot in inches. legend [optional, defaults to True] Whether\",\n \"line. If a list must be same length as `hlines_y`. If a single\",\n \"x value for the entire plot. vlines_ymax: [optional, defaults to None] List of\",\n \"False] Whether to plot grid lines on the major ticks. label_rotation : int\",\n \"and gray, however the \\\"ieee\\\" also will change the chart size to fit\",\n \"None] List of minimum x values to start the horizontal line. If a\",\n \"xlim=None, ylim=None, secondary_y=False, mark_right=True, scatter_matrix_diagonal=\\\"kde\\\", bootstrap_size=50, bootstrap_samples=500, norm_xaxis=False, norm_yaxis=False, lognorm_xaxis=False, lognorm_yaxis=False, xy_match_line=\\\"\\\", grid=False,\",\n \"column of the \\\"IEEE\\\" journal. The \\\"grayscale\\\" is another style useful for photo-copyable\",\n \"tsutils.make_list(hlines_xmin) hlines_xmax = tsutils.make_list(hlines_xmax) hlines_colors = tsutils.make_list(hlines_colors) hlines_linestyles = tsutils.make_list(hlines_linestyles) nxlim = ax.get_xlim()\",\n \"triangle down | +-------+----------------+ | ^ | triangle up | +-------+----------------+ | <\",\n \"and set the upper limit to 1000. ylim [optional, default is based on\",\n \"a list/tuple, which time-series to plot on secondary y-axis. mark_right [optional, default is\",\n \") ) ) colors = [] markerstyles = [] linestyles = [] for\",\n \"| circle | +-------+----------------+ | v | triangle down | +-------+----------------+ | ^\",\n \"density estimation of probability density function. \\\"kde\\\" will create a plot of estimation\",\n \"have {} time-series. \\\"\\\"\\\".format( style, len(nstyle), len(tsd.columns) ) ) ) colors = []\",\n \"plot. bootstrap_samples [optional, defaults to 500] The number of random subsets of 'bootstrap_size'.\",\n \"# \\\"bmh\\\", # \\\"dark_background\\\", # \\\"fast\\\", # \\\"fivethirtyeight\\\", # \\\"ggplot\\\", # \\\"grayscale\\\", #\",\n \"filename for the plot. Extension defines the type, for example 'filename.png' will create\",\n \"xtitle=\\\"\\\", ytitle=\\\"\\\", title=\\\"\\\", figsize=\\\"10,6.0\\\", legend=None, legend_names=None, subplots=False, sharex=True, sharey=False, colors=\\\"auto\\\", linestyles=\\\"auto\\\", markerstyles=\\\" \\\",\",\n \"1] The lag used if ``type`` \\\"lag_plot\\\" is chosen. xtitle : str [optional,\",\n \"line. hlines_xmin: [optional, defaults to None] List of minimum x values to start\",\n \"at the maximum x value for the entire plot. vlines_colors: [optional, defaults to\",\n \"import os import warnings import mando import numpy as np import pandas as\",\n \"logx=logx, logy=logy, xaxis=xaxis, yaxis=yaxis, xlim=xlim, ylim=ylim, secondary_y=secondary_y, mark_right=mark_right, scatter_matrix_diagonal=scatter_matrix_diagonal, bootstrap_size=bootstrap_size, bootstrap_samples=bootstrap_samples, norm_xaxis=norm_xaxis, norm_yaxis=norm_yaxis,\",\n \"matplotlib line types. Otherwise on the command line a comma separated list, or\",\n \"is True ): warnings.warn( \\\"\\\"\\\" * * The --logx, --logy, --norm_xaxis, --norm_yaxis, --lognorm_xaxis,\",\n \"| O | large circle | +-----------------+-------------------+ | . | dots | +-----------------+-------------------+\",\n \"a comma separated matplotlib color codes, or within Python a list of color\",\n \"minimum x values to start the horizontal line. If a list must be\",\n \"is not None: hlines_y = tsutils.make_list(hlines_y) hlines_xmin = tsutils.make_list(hlines_xmin) hlines_xmax = tsutils.make_list(hlines_xmax) hlines_colors\",\n \"options are deprecated. * * For --logx use --xaxis=\\\"log\\\" * For --logy use\",\n \"list of strings for each time-series in the data set. subplots [optional, defaults\",\n \"[optional, default is False] Invert the x-axis. invert_yaxis [optional, default is False] Invert\",\n \"be distinguished by someone with color blindness. Black, White, and Gray Styles The\",\n \"# xaxis=[str, [\\\"domain\\\", [\\\"arithmetic\\\", \\\"log\\\"]], 1], # yaxis=[str, [\\\"domain\\\", [\\\"arithmetic\\\", \\\"log\\\"]], 1], #\",\n \"Python a list of color code strings. Can identify colors in four different\",\n \"\\\"seaborn-deep\\\", \\\"seaborn-muted\\\", \\\"seaborn-notebook\\\", \\\"seaborn-paper\\\", \\\"seaborn-pastel\\\", \\\"seaborn-poster\\\", \\\"seaborn-talk\\\", \\\"seaborn-ticks\\\", \\\"seaborn-white\\\", \\\"seaborn-whitegrid\\\", \\\"tableau-colorblind10\\\", and SciencePlots\",\n \"matplotlib.use(\\\"Agg\\\") import matplotlib.pyplot as plt from matplotlib.ticker import FixedLocator tsd = tsutils.common_kwds( input_ts,\",\n \"on ``type``] Title of y-axis. title : str [optional, defaults to ''] Title\",\n \"linestyles=\\\"auto\\\", markerstyles=\\\" \\\", bar_hatchstyles=\\\"auto\\\", style=\\\"auto\\\", logx=False, logy=False, xaxis=\\\"arithmetic\\\", yaxis=\\\"arithmetic\\\", xlim=None, ylim=None, secondary_y=False, mark_right=True,\",\n \"through the available matplotlib hatch types. Otherwise on the command line a comma\",\n \"be used as the minimum x values for all horizontal lines. A missing\",\n \"' | nothing | +-------+----------------+ | '' | nothing | +-------+----------------+ Marker reference:\",\n \"as `hlines_y`. If a single number will be the maximum x value for\",\n \"characteristics of the previous. Color Blind Appropriate Styles The styles \\\"seaborn-colorblind\\\", \\\"tableau-colorblind10\\\", \\\"bright\\\",\",\n \"crossed | +-----------------+-------------------+ | x | crossed diagonal | +-----------------+-------------------+ | o |\",\n \"style. At the command line supply a comma separated matplotlib color codes, or\",\n \"3 else: beginstr = 1 if pltfreq == \\\"none\\\": short_freq = \\\"\\\" else:\",\n \"data called kernel density estimation (KDE). {ydata} Parameters ---------- {input_ts} ofilename : str\",\n \"i in [\\\" \\\", None] else i for i in linestyles] markerstyles =\",\n \"One of 'arithmetic', 'log'. secondary_y [optional, default is False] Whether to plot on\",\n \"``type``] Title of y-axis. title : str [optional, defaults to ''] Title of\",\n \"| H | hexagon2 | +-------+----------------+ | ``+`` | plus | +-------+----------------+ |\",\n \"plot. One or more of Matplotlib styles \\\"classic\\\", \\\"Solarize_Light2\\\", \\\"bmh\\\", \\\"dark_background\\\", \\\"fast\\\", \\\"fivethirtyeight\\\",\",\n \"names in the data set. You must supply a comma separated list of\",\n \"mando.rst_text_formatter import RSTHelpFormatter from tstoolbox import tsutils from .. import plotutils warnings.filterwarnings(\\\"ignore\\\") @mando.command(\\\"kde\\\",\",\n \"= bool(legend == \\\"\\\" or legend == \\\"True\\\" or legend is None) type\",\n \"'kde' for Kernel Density Estimation or 'hist' for a histogram. bootstrap_size : int\",\n \"nstyle: colors.append(st[0]) if len(st) == 1: markerstyles.append(\\\" \\\") linestyles.append(\\\"-\\\") continue if st[1] in\",\n \"Make separate subplots for each time series. sharex [optional, default to True] In\",\n \"[True, False]], 1], # scatter_matrix_diagonal=[str, [\\\"domain\\\", [\\\"kde\\\", \\\"hist\\\"]], 1], # bootstrap_size=[int, [\\\"range\\\", [0,\",\n \"hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\\\"-\\\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\\\"-\\\", **kwds, ): r\\\"\\\"\\\"Plot data.\\\"\\\"\\\"\",\n \"force_freq=force_freq, drawstyle=drawstyle, por=por, invert_xaxis=invert_xaxis, invert_yaxis=invert_yaxis, round_index=round_index, plotting_position=plotting_position, prob_plot_sort_values=prob_plot_sort_values, source_units=source_units, target_units=target_units, lag_plot_lag=lag_plot_lag, plot_styles=plot_styles, hlines_y=hlines_y,\",\n \"then each over rides some or all of the characteristics of the previous.\",\n \"subplots=subplots, sharex=sharex, sharey=sharey, style=None, logx=logx, logy=logy, xlim=xlim, ylim=ylim, secondary_y=secondary_y, figsize=figsize, ) for index,\",\n \"1], # invert_yaxis=[bool, [\\\"domain\\\", [True, False]], 1], # plotting_position=[ # str, # [\",\n \"\\\"xy\\\", \\\"bar\\\", \\\"bar_stacked\\\", \\\"histogram\\\", \\\"norm_xaxis\\\", \\\"lognorm_xaxis\\\", \\\"weibull_xaxis\\\", \\\"norm_yaxis\\\", \\\"lognorm_yaxis\\\", \\\"weibull_yaxis\\\", ]: if hlines_y\",\n \"of x values where to place a vertical line. vlines_ymin: [optional, defaults to\",\n \"# hlines_xmin=[float, [\\\"pass\\\", []], None], # hlines_xmax=[float, [\\\"pass\\\", []], None], # hlines_colors=[str, [\\\"pass\\\",\",\n \"| . | point | +-------+----------------+ | o | circle | +-------+----------------+ |\",\n \"= [] markerstyles = [] linestyles = [] for st in nstyle: colors.append(st[0])\",\n \"set. You must supply a comma separated list of strings for each time-series\",\n \"logy is True or norm_xaxis is True or norm_yaxis is True or lognorm_xaxis\",\n \"icolors = None imarkerstyles = itertools.cycle(markerstyles) ilinestyles = itertools.cycle(linestyles) # Only for bar,\",\n \"| ^ | triangle up | +-------+----------------+ | < | triangle left |\",\n \"# ], # hlines_y=[float, [\\\"pass\\\", []], None], # hlines_xmin=[float, [\\\"pass\\\", []], None], #\",\n \"plot a marker. If 'auto' will iterate through the available matplotlib marker types.\",\n \"minimum x value for the entire plot. hlines_xmax: [optional, defaults to None] List\",\n \"[True, False]], 1], # sharex=[bool, [\\\"domain\\\", [True, False]], 1], # sharey=[bool, [\\\"domain\\\", [True,\",\n \"# bar_hatchstyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.HATCH_LIST], None],\",\n \"vlines_colors=None, vlines_linestyles=\\\"-\\\", ): r\\\"\\\"\\\"Kernel density estimation of probability density function. \\\"kde\\\" will create\",\n \"warnings.warn( \\\"\\\"\\\" * * The --logx, --logy, --norm_xaxis, --norm_yaxis, --lognorm_xaxis, and * --lognorm_yaxis\",\n \"| black | +------+---------+ 3. Number between 0 and 1 that represents the\",\n \"automatically. scatter_matrix_diagonal : str [optional, defaults to 'kde'] If plot type is 'scatter_matrix',\",\n \"plotutils.MARKER_LIST: markerstyles.append(st[1]) try: linestyles.append(st[2:]) except IndexError: linestyles.append(\\\" \\\") else: markerstyles.append(\\\" \\\") linestyles.append(st[1:]) if\",\n \"| triangle right | +-------+----------------+ | 1 | tri_down | +-------+----------------+ | 2\",\n \"vlines_linestyles = tsutils.make_list(vlines_linestyles) nylim = ax.get_ylim() if vlines_ymin is None: vlines_ymin = nylim[0]\",\n \"colors for the vertical lines. If a single color then will be used\",\n \"bar_hatchstyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.HATCH_LIST], None], #\",\n \"lag used if ``type`` \\\"lag_plot\\\" is chosen. xtitle : str [optional, default depends\",\n \"defaults to None] List of maximum x values to end each horizontal line.\",\n \"try: try: pltfreq = str(tsd.index.freq, \\\"utf-8\\\").lower() except TypeError: pltfreq = str(tsd.index.freq).lower() if pltfreq.split(\\\"\",\n \": str [optional, defaults to 'plot.png'] Output filename for the plot. Extension defines\",\n \"vlines_ymax: [optional, defaults to None] List of maximum x values to end each\",\n \"equivalent to 'steps-pre' and is maintained for backward-compatibility. ACCEPTS:: ['default' | 'steps' |\",\n \"Separated 'colors', 'linestyles', and 'markerstyles' instead of using the 'style' keyword. +-------+----------------+ |\",\n \"| x | crossed diagonal | +-----------------+-------------------+ | o | small circle |\",\n \"prob_plot_sort_values : str [optional, default is 'descending'] How to sort the values for\",\n \"line supply a comma separated matplotlib color codes, or within Python a list\",\n \"coding: utf-8 -*- \\\"\\\"\\\"Collection of functions for the manipulation of time series.\\\"\\\"\\\" from\",\n \"Blind Appropriate Styles The styles \\\"seaborn-colorblind\\\", \\\"tableau-colorblind10\\\", \\\"bright\\\", \\\"vibrant\\\", and \\\"muted\\\" are all\",\n \"* \\\"\\\"\\\" ) if xaxis == \\\"log\\\": logx = True if yaxis ==\",\n \"# \\\"seaborn-colorblind\\\", # \\\"seaborn-dark\\\", # \\\"seaborn-dark-palette\\\", # \\\"seaborn-darkgrid\\\", # \\\"seaborn-deep\\\", # \\\"seaborn-muted\\\", #\",\n \"in enumerate(ax.lines): if icolors is not None: c = next(icolors) else: c =\",\n \"a list of strings if using the Python API. +-----------------+-------------------+ | bar_hatchstyles |\",\n \"horizontal lines. A missing value or None will end at the maximum x\",\n \"will change the chart size to fit in a column of the \\\"IEEE\\\"\",\n \"| triangle up | +-------+----------------+ | < | triangle left | +-------+----------------+ |\",\n \"white, nd gray. Matplotlib styles: https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_reference.html SciencePlots styles: https://github.com/garrettj403/SciencePlots hlines_y: [optional, defaults to\",\n \"\\\"retro\\\", # ], # ], # None, # ], # hlines_y=[float, [\\\"pass\\\", []],\",\n \"[]], None], # xlim=[float, [\\\"pass\\\", []], 2], # ylim=[float, [\\\"pass\\\", []], 2], #\",\n \"bootstrap_size : int [optional, defaults to 50] The size of the random subset\",\n \"\\\"default\\\"] Set the style of the plot. One or more of Matplotlib styles\",\n \"the diagonal. One of 'kde' for Kernel Density Estimation or 'hist' for a\",\n \"RSTHelpFormatter from tstoolbox import tsutils from .. import plotutils warnings.filterwarnings(\\\"ignore\\\") @mando.command(\\\"kde\\\", formatter_class=RSTHelpFormatter, doctype=\\\"numpy\\\")\",\n \"y. Set to a line style code. grid [optional, default is False] Whether\",\n \"style which has {} style strings, but you have {} time-series. \\\"\\\"\\\".format( style,\",\n \"from beginning and end. {force_freq} invert_xaxis [optional, default is False] Invert the x-axis.\",\n \"will take from the color pallette in the current plot style. hlines_linestyles: [optional,\",\n \"The \\\"grayscale\\\" is another style useful for photo-copyable black, white, nd gray. Matplotlib\",\n \"use '--yaxis=\\\"log\\\"' instead. xlim [optional, default is based on range of x values]\",\n \"False]], 1], # scatter_matrix_diagonal=[str, [\\\"domain\\\", [\\\"kde\\\", \\\"hist\\\"]], 1], # bootstrap_size=[int, [\\\"range\\\", [0, None]],\",\n \"# \\\"seaborn-paper\\\", # \\\"seaborn-pastel\\\", # \\\"seaborn-poster\\\", # \\\"seaborn-talk\\\", # \\\"seaborn-ticks\\\", # \\\"seaborn-white\\\", #\",\n \"list of color code strings. Can identify colors in four different ways. 1.\",\n \"bootstrap_samples [optional, defaults to 500] The number of random subsets of 'bootstrap_size'. norm_xaxis\",\n \"bar_hatchstyles = plotutils.HATCH_LIST else: bar_hatchstyles = tsutils.make_list(bar_hatchstyles) if markerstyles == \\\"auto\\\": markerstyles =\",\n \"can then be changed or added to as needed. lag_plot_lag [optional, default to\",\n \"command line supply a comma separated matplotlib color codes, or within Python a\",\n \"{end_date} {clean} {skiprows} {index_type} {names} {source_units} {target_units} {round_index} plot_styles: str [optional, default is\",\n \"histogram. bootstrap_size : int [optional, defaults to 50] The size of the random\",\n \"hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\\\"-\\\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\\\"-\\\", ): r\\\"\\\"\\\"Kernel density estimation\",\n \"'width,height' of plot in inches. legend [optional, defaults to True] Whether to display\",\n \"[\\\"norm_yaxis\\\", \\\"lognorm_yaxis\\\", \\\"weibull_yaxis\\\"]: hlines_y = ppf(tsutils.make_list(hlines_y)) plt.hlines( hlines_y, hlines_xmin, hlines_xmax, colors=hlines_colors, linestyles=hlines_linestyles, )\",\n \"option defaults with the implementation of # mando legend = bool(legend == \\\"\\\"\",\n \"end each horizontal line. If a list must be same length as `hlines_y`.\",\n \"vlines_x = ppf(tsutils.make_list(vlines_x)) plt.vlines( vlines_x, vlines_ymin, vlines_ymax, colors=vlines_colors, linestyles=vlines_linestyles, ) plt.xlabel(xtitle) plt.ylabel(ytitle) if\",\n \"the yaxis. One of 'arithmetic', 'log'. secondary_y [optional, default is False] Whether to\",\n \"# \\\"seaborn-dark-palette\\\", # \\\"seaborn-darkgrid\\\", # \\\"seaborn-deep\\\", # \\\"seaborn-muted\\\", # \\\"seaborn-notebook\\\", # \\\"seaborn-paper\\\", #\",\n \"if markerstyles == \\\"auto\\\": markerstyles = plotutils.MARKER_LIST else: markerstyles = tsutils.make_list(markerstyles) if markerstyles\",\n \"[]], 1], # figsize=[float, [\\\"range\\\", [0, None]], 2], # legend=[bool, [\\\"domain\\\", [True, False]],\",\n \"\\\"SciencePlots_styles\\\" ) plot_styles = [ os.path.join(style_loc, i + \\\".mplstyle\\\") if os.path.exists(os.path.join(style_loc, i +\",\n \"with star marker. bar_hatchstyles [optional, default to \\\"auto\\\", only used if type equal\",\n \"default is False] Invert the y-axis. plotting_position : str [optional, default is 'weibull']\",\n \"x value for all vertical lines. A missing value or None will end\",\n \"@tsutils.validator( # ofilename=[str, [\\\"pass\\\", []], 1], # type=[str, [\\\"domain\\\", [\\\"kde\\\",],], 1,], # lag_plot_lag=[int,\",\n \"rides some or all of the characteristics of the previous. Color Blind Appropriate\",\n \"| m | magenta | +------+---------+ | y | yellow | +------+---------+ |\",\n \"reference: http://matplotlib.org/api/artist_api.html markerstyles [optional, default to ' '] The default ' ' will\",\n \"PNG file. If used within Python, and `ofilename` is None will return the\",\n \"\\\"\\\"\\\" You have to have the same number of style strings as time-series\",\n \"plt.gca().invert_xaxis() if invert_yaxis is True: plt.gca().invert_yaxis() plt.grid(grid) plt.title(title) plt.tight_layout() if ofilename is not\",\n \"for the standard linestyles list. \\\"\\\"\\\" plt = kde( input_ts=input_ts, columns=columns, start_date=start_date, end_date=end_date,\",\n \"| v | triangle down | +-------+----------------+ | ^ | triangle up |\",\n \"1], # sharex=[bool, [\\\"domain\\\", [True, False]], 1], # sharey=[bool, [\\\"domain\\\", [True, False]], 1],\",\n \"and `ofilename` is None will return the Matplotlib figure that can then be\",\n \"in 'ColorMarkerLine' order, for example 'r*--' is a red dashed line with star\",\n \"# \\\"vibrant\\\", # \\\"muted\\\", # \\\"retro\\\", # ], # ], # None, #\",\n \"color code strings. Can identify colors in four different ways. 1. Use 'CN'\",\n \"logy = True xlim = plotutils.know_your_limits(xlim, axis=xaxis) ylim = plotutils.know_your_limits(ylim, axis=yaxis) plot_styles =\",\n \"\\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.LINE_LIST], # None, # ], # )\",\n \"| +-------+----------------+ | p | pentagon | +-------+----------------+ | ``*`` | star |\",\n \"vlines_colors=None, vlines_linestyles=\\\"-\\\", **kwds, ): r\\\"\\\"\\\"Plot data.\\\"\\\"\\\" # Need to work around some old\",\n \"str [optional, defaults to 'kde'] If plot type is 'scatter_matrix', this specifies the\",\n \"the horizontal lines. If a single linestyle then will be used as the\",\n \"Only for bar, barh, bar_stacked, and barh_stacked. ibar_hatchstyles = itertools.cycle(bar_hatchstyles) if ( logx\",\n \"1 is black. 4. Any of the HTML color names. +------------------+ | HTML\",\n \"# [\\\"weibull\\\", \\\"benard\\\", \\\"tukey\\\", \\\"gumbel\\\", \\\"hazen\\\", \\\"cunnane\\\", \\\"california\\\"], # ], # 1, #\",\n \"color then will be used as the color for all vertical lines. If\",\n \"warnings.filterwarnings(\\\"ignore\\\") @mando.command(\\\"kde\\\", formatter_class=RSTHelpFormatter, doctype=\\\"numpy\\\") @tsutils.doc(plotutils.ldocstrings) def kde_cli( input_ts=\\\"-\\\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None,\",\n \"bar_hatchstyles == \\\"auto\\\": bar_hatchstyles = plotutils.HATCH_LIST else: bar_hatchstyles = tsutils.make_list(bar_hatchstyles) if markerstyles ==\",\n \"markerstyles = \\\" \\\" if style != \\\"auto\\\": nstyle = tsutils.make_list(style) if len(nstyle)\",\n \"A missing value or None will end at the maximum x value for\",\n \"\\\")[0][1:] == \\\"1\\\": beginstr = 3 else: beginstr = 1 if pltfreq ==\",\n \"= ax.get_ylim() if vlines_ymin is None: vlines_ymin = nylim[0] if vlines_ymax is None:\",\n \"''] Title of chart. figsize : str [optional, defaults to '10,6.5'] The 'width,height'\",\n \"): r\\\"\\\"\\\"Plot data.\\\"\\\"\\\" # Need to work around some old option defaults with\",\n \"display the legend. legend_names : str [optional, defaults to None] Legend would normally\",\n \"\\\"norm_xaxis\\\", \\\"lognorm_xaxis\\\", \\\"weibull_xaxis\\\", \\\"norm_yaxis\\\", \\\"lognorm_yaxis\\\", \\\"weibull_yaxis\\\", ]: if hlines_y is not None: if\",\n \"[optional, default to True] In case subplots=True, share x axis. sharey [optional, default\",\n \"magenta | +------+---------+ | y | yellow | +------+---------+ | k | black\",\n \"'steps-pre' | 'steps-mid' | 'steps-post'] por [optional] Plot from first good value to\",\n \"the y-axis. plotting_position : str [optional, default is 'weibull'] {plotting_position_table} Only used for\",\n \"strings, but you have {} time-series. \\\"\\\"\\\".format( style, len(nstyle), len(tsd.columns) ) ) )\",\n \"in [\\\"norm_xaxis\\\", \\\"lognorm_xaxis\\\", \\\"weibull_xaxis\\\"]: vlines_x = ppf(tsutils.make_list(vlines_x)) plt.vlines( vlines_x, vlines_ymin, vlines_ymax, colors=vlines_colors, linestyles=vlines_linestyles,\",\n \"or \\\"Density\\\" if legend is True: plt.legend(loc=\\\"best\\\") if hlines_y is not None: hlines_y\",\n \"for black, white, and gray, however the \\\"ieee\\\" also will change the chart\",\n \"grid=[bool, [\\\"domain\\\", [True, False]], 1], # label_rotation=[float, [\\\"pass\\\", []], 1], # label_skip=[int, [\\\"range\\\",\",\n \"Single character code from the table below. +------+---------+ | Code | Color |\",\n \"subplots=False, sharex=True, sharey=False, colors=\\\"auto\\\", linestyles=\\\"auto\\\", markerstyles=\\\" \\\", bar_hatchstyles=\\\"auto\\\", style=\\\"auto\\\", logx=False, logy=False, xaxis=\\\"arithmetic\\\", yaxis=\\\"arithmetic\\\",\",\n \"\\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.HATCH_LIST], None], # style=[str, [\\\"pass\\\", []], None],\",\n \". | dots | +-----------------+-------------------+ | * | stars | +-----------------+-------------------+ logx DEPRECATED:\",\n \"label_rotation=[float, [\\\"pass\\\", []], 1], # label_skip=[int, [\\\"range\\\", [1, None]], 1], # drawstyle=[str, [\\\"pass\\\",\",\n \"colors == \\\"auto\\\": colors = None else: colors = tsutils.make_list(colors) if linestyles ==\",\n \"4 | tri_right | +-------+----------------+ | 8 | octagon | +-------+----------------+ | s\",\n \"[True, False]], 1], # mark_right=[bool, [\\\"domain\\\", [True, False]], 1], # scatter_matrix_diagonal=[str, [\\\"domain\\\", [\\\"kde\\\",\",\n \"| +-------+----------------+ | H | hexagon2 | +-------+----------------+ | ``+`` | plus |\",\n \"[optional, defaults to None] List of colors for the horizontal lines. If a\",\n \"would limit the plot from 1 to 1000, where '--xlim ,1000' would base\",\n \"'markerstyles' instead of using the 'style' keyword. +---------+--------------+ | Code | Lines |\",\n \"# hlines_linestyles=[ # str, # [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"]\",\n \"\\\"benard\\\", \\\"tukey\\\", \\\"gumbel\\\", \\\"hazen\\\", \\\"cunnane\\\", \\\"california\\\"], # ], # 1, # ], #\",\n \"the linestyle for all horizontal lines. If a list must be same length\",\n \"+-------+----------------+ | '' | nothing | +-------+----------------+ Marker reference: http://matplotlib.org/api/markers_api.html style [optional, default\",\n \"markerstyles=\\\" \\\", bar_hatchstyles=\\\"auto\\\", style=\\\"auto\\\", logx=False, logy=False, xaxis=\\\"arithmetic\\\", yaxis=\\\"arithmetic\\\", xlim=None, ylim=None, secondary_y=False, mark_right=True, scatter_matrix_diagonal=\\\"kde\\\",\",\n \"None will take from the color pallette in the current plot style. hlines_linestyles:\",\n \"lag_plot_lag=lag_plot_lag, plot_styles=plot_styles, hlines_y=hlines_y, hlines_xmin=hlines_xmin, hlines_xmax=hlines_xmax, hlines_colors=hlines_colors, hlines_linestyles=hlines_linestyles, vlines_x=vlines_x, vlines_ymin=vlines_ymin, vlines_ymax=vlines_ymax, vlines_colors=vlines_colors, vlines_linestyles=vlines_linestyles, )\",\n \"setup to be able to be distinguished by someone with color blindness. Black,\",\n \"value or None will end at the maximum x value for the entire\",\n \"if invert_xaxis is True: plt.gca().invert_xaxis() if invert_yaxis is True: plt.gca().invert_yaxis() plt.grid(grid) plt.title(title) plt.tight_layout()\",\n \"hlines_xmax=None, hlines_colors=None, hlines_linestyles=\\\"-\\\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\\\"-\\\", ): r\\\"\\\"\\\"Kernel density estimation of\",\n \"not None: if type in [\\\"norm_xaxis\\\", \\\"lognorm_xaxis\\\", \\\"weibull_xaxis\\\"]: vlines_x = ppf(tsutils.make_list(vlines_x)) plt.vlines( vlines_x,\",\n \"\\\"lognorm_yaxis\\\", \\\"weibull_yaxis\\\", ]: if hlines_y is not None: if type in [\\\"norm_yaxis\\\", \\\"lognorm_yaxis\\\",\",\n \"label_rotation=None, label_skip=1, force_freq=None, drawstyle=\\\"default\\\", por=False, invert_xaxis=False, invert_yaxis=False, round_index=None, plotting_position=\\\"weibull\\\", prob_plot_sort_values=\\\"descending\\\", source_units=None, target_units=None, lag_plot_lag=1,\",\n \"'colors', 'linestyles', and 'markerstyles' options. Currently the 'style' option will override the others.\",\n \"# plot_styles=[ # str, # [ # \\\"domain\\\", # [ # \\\"classic\\\", #\",\n \"used if ``type`` \\\"lag_plot\\\" is chosen. xtitle : str [optional, default depends on\",\n \"[optional, defaults to ''] Title of chart. figsize : str [optional, defaults to\",\n \"linestyles = plotutils.LINE_LIST else: linestyles = tsutils.make_list(linestyles) if bar_hatchstyles == \\\"auto\\\": bar_hatchstyles =\",\n \"hlines_y=None, hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\\\"-\\\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\\\"-\\\", **kwds, ): r\\\"\\\"\\\"Plot\",\n \"= tsd.plot.kde( legend=legend, subplots=subplots, sharex=sharex, sharey=sharey, style=None, logx=logx, logy=logy, xlim=xlim, ylim=ylim, secondary_y=secondary_y, figsize=figsize,\",\n \"x values] Comma separated lower and upper limits for the x-axis of the\",\n \"appropriate for black, white, and gray, however the \\\"ieee\\\" also will change the\",\n \"legend == \\\"True\\\" or legend is None) type = \\\"kde\\\" import matplotlib matplotlib.use(\\\"Agg\\\")\",\n \"a PNG file. If used within Python, and `ofilename` is None will return\",\n \"values where to place a horizontal line. hlines_xmin: [optional, defaults to None] List\",\n \"| 'steps-post'] por [optional] Plot from first good value to last good value.\",\n \"= None imarkerstyles = itertools.cycle(markerstyles) ilinestyles = itertools.cycle(linestyles) # Only for bar, barh,\",\n \"\\\"hazen\\\", \\\"cunnane\\\", \\\"california\\\"], # ], # 1, # ], # prob_plot_sort_values=[str, [\\\"domain\\\", [\\\"ascending\\\",\",\n \"maximum x value for all horizontal lines. A missing value or None will\",\n \"None] List of colors for the horizontal lines. If a single color then\",\n \"number will be the maximum x value for all horizontal lines. A missing\",\n \"http://matplotlib.org/api/artist_api.html markerstyles [optional, default to ' '] The default ' ' will not\",\n \"xaxis=xaxis, yaxis=yaxis, xlim=xlim, ylim=ylim, secondary_y=secondary_y, mark_right=mark_right, scatter_matrix_diagonal=scatter_matrix_diagonal, bootstrap_size=bootstrap_size, bootstrap_samples=bootstrap_samples, norm_xaxis=norm_xaxis, norm_yaxis=norm_yaxis, lognorm_xaxis=lognorm_xaxis, lognorm_yaxis=lognorm_yaxis,\",\n \"is not None: c = next(icolors) else: c = None if imarkerstyles is\",\n \"the maximum x value for the entire plot. vlines_colors: [optional, defaults to None]\",\n \"If plot type is 'scatter_matrix', this specifies the plot along the diagonal. One\",\n \"line a comma separated list, or a list of strings if using the\",\n \"# prob_plot_sort_values=[str, [\\\"domain\\\", [\\\"ascending\\\", \\\"descending\\\"]], 1], # plot_styles=[ # str, # [ #\",\n \"supply a comma separated list of strings for each time-series in the data\",\n \"large circle | +-----------------+-------------------+ | . | dots | +-----------------+-------------------+ | * |\",\n \"or within Python a list of color code strings. Can identify colors in\",\n \"| dots | +-----------------+-------------------+ | * | stars | +-----------------+-------------------+ logx DEPRECATED: use\",\n \"default is None] Still available, but if None is replaced by 'colors', 'linestyles',\",\n \"x axis. sharey [optional, default to False] In case subplots=True, share y axis.\",\n \"ilinestyles is not None: l = next(ilinestyles) else: l = None if c\",\n \"\\\"fivethirtyeight\\\", \\\"ggplot\\\", \\\"grayscale\\\", \\\"seaborn\\\", \\\"seaborn-bright\\\", \\\"seaborn-colorblind\\\", \\\"seaborn-dark\\\", \\\"seaborn-dark-palette\\\", \\\"seaborn-darkgrid\\\", \\\"seaborn-deep\\\", \\\"seaborn-muted\\\", \\\"seaborn-notebook\\\", \\\"seaborn-paper\\\",\",\n \"diagonal hatching | +-----------------+-------------------+ | ``\\\\`` | back diagonal | +-----------------+-------------------+ | ``|``\",\n \"end_date=end_date, clean=clean, skiprows=skiprows, index_type=index_type, names=names, ofilename=ofilename, xtitle=xtitle, ytitle=ytitle, title=title, figsize=figsize, legend=legend, legend_names=legend_names, subplots=subplots,\",\n \"| octagon | +-------+----------------+ | s | square | +-------+----------------+ | p |\",\n \"styles then each over rides some or all of the characteristics of the\",\n \"None] Still available, but if None is replaced by 'colors', 'linestyles', and 'markerstyles'\",\n \"legend. legend_names : str [optional, defaults to None] Legend would normally use the\",\n \"str, # [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.LINE_LIST], #\",\n \"Comma separated matplotlib style strings per time-series. Just combine codes in 'ColorMarkerLine' order,\",\n \"| nothing | +-------+----------------+ | ' ' | nothing | +-------+----------------+ | ''\",\n \"if None is replaced by 'colors', 'linestyles', and 'markerstyles' options. Currently the 'style'\",\n \"range of x values] Comma separated lower and upper limits for the x-axis\",\n \"below. +------+---------+ | Code | Color | +======+=========+ | b | blue |\",\n \"\\\"seaborn-talk\\\", \\\"seaborn-ticks\\\", \\\"seaborn-white\\\", \\\"seaborn-whitegrid\\\", \\\"tableau-colorblind10\\\", and SciencePlots styles \\\"science\\\", \\\"grid\\\", \\\"ieee\\\", \\\"scatter\\\", \\\"notebook\\\",\",\n \"str [optional, default depends on ``type``] Title of x-axis. ytitle : str [optional,\",\n \"vlines_x: [optional, defaults to None] List of x values where to place a\",\n \"plot. For example, '--xlim 1,1000' would limit the plot from 1 to 1000,\",\n \"# ], # ], # None, # ], # hlines_y=[float, [\\\"pass\\\", []], None],\",\n \"standard linestyles list. vlines_x: [optional, defaults to None] List of x values where\",\n \"vlines_colors: [optional, defaults to None] List of colors for the vertical lines. If\",\n \"| solid | +---------+--------------+ | -- | dashed | +---------+--------------+ | -. |\",\n \"of minimum y values to start the vertical line. If a list must\",\n \"lines. If a single color then will be used as the color for\",\n \"= ppf(tsutils.make_list(hlines_y)) plt.hlines( hlines_y, hlines_xmin, hlines_xmax, colors=hlines_colors, linestyles=hlines_linestyles, ) if vlines_x is not\",\n \"a single color then will be used as the color for all horizontal\",\n \"axis. colors [optional, default is 'auto'] The default 'auto' will cycle through matplotlib\",\n \": str [optional, default depends on ``type``] Title of x-axis. ytitle : str\",\n \"is not None: if type in [\\\"norm_yaxis\\\", \\\"lognorm_yaxis\\\", \\\"weibull_yaxis\\\"]: hlines_y = ppf(tsutils.make_list(hlines_y)) plt.hlines(\",\n \"from matplotlib.ticker import FixedLocator tsd = tsutils.common_kwds( input_ts, skiprows=skiprows, names=names, index_type=index_type, start_date=start_date, end_date=end_date,\",\n \"[\\\"domain\\\", [\\\"kde\\\",],], 1,], # lag_plot_lag=[int, [\\\"range\\\", [1, None]], 1], # xtitle=[str, [\\\"pass\\\", []],\",\n \"logx = True if yaxis == \\\"log\\\": logy = True xlim = plotutils.know_your_limits(xlim,\",\n \"False] In case subplots=True, share y axis. colors [optional, default is 'auto'] The\",\n \"list/tuple, which time-series to plot on secondary y-axis. mark_right [optional, default is True]\",\n \"of y values] Comma separated lower and upper limits for the y-axis of\",\n \"horizontal lines. If a list must be same length as `hlines_y`. If None\",\n \"See `xlim` for examples. xaxis : str [optional, default is 'arithmetic'] Defines the\",\n \"hatch types. Otherwise on the command line a comma separated list, or a\",\n \"The steps variants produce step-plots. 'steps' is equivalent to 'steps-pre' and is maintained\",\n \"Whether to plot grid lines on the major ticks. label_rotation : int [optional]\",\n \"| +---------+--------------+ | ' ' | draw nothing | +---------+--------------+ | '' |\",\n \"* For --norm_yaxis use --type=\\\"norm_yaxis\\\" * For --lognorm_xaxis use --type=\\\"lognorm_xaxis\\\" * For --lognorm_yaxis\",\n \"-*- \\\"\\\"\\\"Collection of functions for the manipulation of time series.\\\"\\\"\\\" from __future__ import\",\n \"names=None, ofilename=\\\"plot.png\\\", xtitle=\\\"\\\", ytitle=\\\"\\\", title=\\\"\\\", figsize=\\\"10,6.0\\\", legend=None, legend_names=None, subplots=False, sharex=True, sharey=False, colors=\\\"auto\\\", linestyles=\\\"auto\\\",\",\n \"ylim [optional, default is based on range of y values] Comma separated lower\",\n \"with lines. The steps variants produce step-plots. 'steps' is equivalent to 'steps-pre' and\",\n \"the previous. Color Blind Appropriate Styles The styles \\\"seaborn-colorblind\\\", \\\"tableau-colorblind10\\\", \\\"bright\\\", \\\"vibrant\\\", and\",\n \"# Need to work around some old option defaults with the implementation of\",\n \"= None if c is not None: plt.setp(line, color=c) plt.setp(line, marker=m) plt.setp(line, linestyle=l)\",\n \"time series.\\\"\\\"\\\" from __future__ import absolute_import, division, print_function import itertools import os import\",\n \"[]], 1], # ytitle=[str, [\\\"pass\\\", []], 1], # title=[str, [\\\"pass\\\", []], 1], #\",\n \"| +-------+----------------+ | 2 | tri_up | +-------+----------------+ | 3 | tri_left |\",\n \"+-----------------+-------------------+ | bar_hatchstyles | Description | +=================+===================+ | / | diagonal hatching |\",\n \"| chartreuse | +------------------+ | ...etc. | +------------------+ Color reference: http://matplotlib.org/api/colors_api.html linestyles [optional,\",\n \"right | +-------+----------------+ | 1 | tri_down | +-------+----------------+ | 2 | tri_up\",\n \"| Code | Markers | +=======+================+ | . | point | +-------+----------------+ |\",\n \"None, # ], # ) def kde( input_ts=\\\"-\\\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None,\",\n \"styles \\\"science\\\", \\\"grid\\\", \\\"ieee\\\", \\\"scatter\\\", \\\"notebook\\\", \\\"high-vis\\\", \\\"bright\\\", \\\"vibrant\\\", \\\"muted\\\", and \\\"retro\\\". If\",\n \"are deprecated. * * For --logx use --xaxis=\\\"log\\\" * For --logy use --yaxis=\\\"log\\\"\",\n \"lower and upper limits for the y-axis of the plot. See `xlim` for\",\n \"| 'steps-pre' | 'steps-mid' | 'steps-post'] por [optional] Plot from first good value\",\n \"The default 'auto' will cycle through matplotlib colors in the chosen style. At\",\n \"figsize=figsize, legend=legend, legend_names=legend_names, subplots=subplots, sharex=sharex, sharey=sharey, colors=colors, linestyles=linestyles, markerstyles=markerstyles, bar_hatchstyles=bar_hatchstyles, style=style, logx=logx, logy=logy,\",\n \"values to start the horizontal line. If a list must be same length\",\n \"sharey=sharey, style=None, logx=logx, logy=logy, xlim=xlim, ylim=ylim, secondary_y=secondary_y, figsize=figsize, ) for index, line in\",\n \"next(ilinestyles) else: l = None if c is not None: plt.setp(line, color=c) plt.setp(line,\",\n \"| draw nothing | +---------+--------------+ | '' | draw nothing | +---------+--------------+ Line\",\n \"style of the plot. One or more of Matplotlib styles \\\"classic\\\", \\\"Solarize_Light2\\\", \\\"bmh\\\",\",\n \"sharex=sharex, sharey=sharey, style=None, logx=logx, logy=logy, xlim=xlim, ylim=ylim, secondary_y=secondary_y, figsize=figsize, ) for index, line\",\n \"| '' | nothing | +-------+----------------+ Marker reference: http://matplotlib.org/api/markers_api.html style [optional, default is\",\n \"pick=columns, round_index=round_index, dropna=\\\"all\\\", source_units=source_units, target_units=target_units, clean=clean, por=por, ) tsd, lnames = plotutils.check(type, tsd,\",\n \"if vlines_ymin is None: vlines_ymin = nylim[0] if vlines_ymax is None: vlines_ymax =\",\n \"[]], 2], # ylim=[float, [\\\"pass\\\", []], 2], # xaxis=[str, [\\\"domain\\\", [\\\"arithmetic\\\", \\\"log\\\"]], 1],\",\n \"1], # drawstyle=[str, [\\\"pass\\\", []], 1], # por=[bool, [\\\"domain\\\", [True, False]], 1], #\",\n \"This is to help pretty print the frequency try: try: pltfreq = str(tsd.index.freq,\",\n \"instead. xy_match_line : str [optional, defaults is ''] Will add a match line\",\n \"| Markers | +=======+================+ | . | point | +-------+----------------+ | o |\",\n \"ytitle=\\\"\\\", title=\\\"\\\", figsize=\\\"10,6.0\\\", legend=None, legend_names=None, subplots=False, sharex=True, sharey=False, colors=\\\"auto\\\", linestyles=\\\"auto\\\", markerstyles=\\\" \\\", bar_hatchstyles=\\\"auto\\\",\",\n \"of strings if using the Python API. To not display lines use a\",\n \"Set to a line style code. grid [optional, default is False] Whether to\",\n \"' | draw nothing | +---------+--------------+ | '' | draw nothing | +---------+--------------+\",\n \"list. vlines_x: [optional, defaults to None] List of x values where to place\",\n \"\\\"high-vis\\\", \\\"bright\\\", \\\"vibrant\\\", \\\"muted\\\", and \\\"retro\\\". If multiple styles then each over rides\",\n \"use '--xaxis=\\\"log\\\"' instead. logy DEPRECATED: use '--yaxis=\\\"log\\\"' instead. xlim [optional, default is based\",\n \"variants produce step-plots. 'steps' is equivalent to 'steps-pre' and is maintained for backward-compatibility.\",\n \"# label_skip=[int, [\\\"range\\\", [1, None]], 1], # drawstyle=[str, [\\\"pass\\\", []], 1], # por=[bool,\",\n \"], # None, # ], # hlines_y=[float, [\\\"pass\\\", []], None], # hlines_xmin=[float, [\\\"pass\\\",\",\n \"# linestyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.LINE_LIST], None],\",\n \"# \\\"seaborn-dark\\\", # \\\"seaborn-dark-palette\\\", # \\\"seaborn-darkgrid\\\", # \\\"seaborn-deep\\\", # \\\"seaborn-muted\\\", # \\\"seaborn-notebook\\\", #\",\n \"or lognorm_yaxis is True ): warnings.warn( \\\"\\\"\\\" * * The --logx, --logy, --norm_xaxis,\",\n \"None: vlines_ymax = nylim[1] if type in [ \\\"time\\\", \\\"xy\\\", \\\"bar\\\", \\\"bar_stacked\\\", \\\"histogram\\\",\",\n \"list, or a list of strings if using the Python API. To not\",\n \"of the plot. See `xlim` for examples. xaxis : str [optional, default is\",\n \"| +-------+----------------+ | o | circle | +-------+----------------+ | v | triangle down\",\n \"bar_stacked, and barh_stacked. ibar_hatchstyles = itertools.cycle(bar_hatchstyles) if ( logx is True or logy\",\n \"same length as `hlines_y`. If a single number will be used as the\",\n \"'{}' for style which has {} style strings, but you have {} time-series.\",\n \"], # prob_plot_sort_values=[str, [\\\"domain\\\", [\\\"ascending\\\", \\\"descending\\\"]], 1], # plot_styles=[ # str, # [\",\n \"sharey [optional, default to False] In case subplots=True, share y axis. colors [optional,\",\n \"por=False, invert_xaxis=False, invert_yaxis=False, round_index=None, plotting_position=\\\"weibull\\\", prob_plot_sort_values=\\\"descending\\\", source_units=None, target_units=None, lag_plot_lag=1, plot_styles=\\\"bright\\\", hlines_y=None, hlines_xmin=None, hlines_xmax=None,\",\n \"= tsutils.make_list(figsize, n=2) _, ax = plt.subplots(figsize=figsize) if type in [\\\"kde\\\", \\\"probability_density\\\"]: ax\",\n \"tsutils from .. import plotutils warnings.filterwarnings(\\\"ignore\\\") @mando.command(\\\"kde\\\", formatter_class=RSTHelpFormatter, doctype=\\\"numpy\\\") @tsutils.doc(plotutils.ldocstrings) def kde_cli( input_ts=\\\"-\\\",\",\n \"is False] Invert the y-axis. plotting_position : str [optional, default is 'weibull'] {plotting_position_table}\",\n \"vlines_ymax=vlines_ymax, vlines_colors=vlines_colors, vlines_linestyles=vlines_linestyles, ) # @tsutils.validator( # ofilename=[str, [\\\"pass\\\", []], 1], # type=[str,\",\n \"The size of the random subset for 'bootstrap' plot. bootstrap_samples [optional, defaults to\",\n \"is False] Invert the x-axis. invert_yaxis [optional, default is False] Invert the y-axis.\",\n \"\\\"seaborn-talk\\\", # \\\"seaborn-ticks\\\", # \\\"seaborn-white\\\", # \\\"seaborn-whitegrid\\\", # \\\"tableau-colorblind10\\\", # \\\"science\\\", # \\\"grid\\\",\",\n \"you have {} time-series. \\\"\\\"\\\".format( style, len(nstyle), len(tsd.columns) ) ) ) colors =\",\n \"series. sharex [optional, default to True] In case subplots=True, share x axis. sharey\",\n \"override the names in the data set. You must supply a comma separated\",\n \"from the current style. 2. Single character code from the table below. +------+---------+\",\n \"y-axis. mark_right [optional, default is True] When using a secondary_y axis, should the\",\n \"only used if type equal to \\\"bar\\\", \\\"barh\\\", \\\"bar_stacked\\\", and \\\"barh_stacked\\\"] If 'auto'\",\n \"* For --lognorm_yaxis use --type=\\\"lognorm_yaxis\\\" * \\\"\\\"\\\" ) if xaxis == \\\"log\\\": logx\",\n \"[\\\"domain\\\", [True, False]], 1], # sharex=[bool, [\\\"domain\\\", [True, False]], 1], # sharey=[bool, [\\\"domain\\\",\",\n \"is not None: vlines_x = tsutils.make_list(vlines_x) vlines_ymin = tsutils.make_list(vlines_ymin) vlines_ymax = tsutils.make_list(vlines_ymax) vlines_colors\",\n \"will be used as the color for all vertical lines. If a list\",\n \"list of strings if using the Python API. +-----------------+-------------------+ | bar_hatchstyles | Description\",\n \"function based on the data called kernel density estimation (KDE). {ydata} Parameters ----------\",\n \"this specifies the plot along the diagonal. One of 'kde' for Kernel Density\",\n \"as the minimum x values for all horizontal lines. A missing value or\",\n \"or None will start at the minimum x value for the entire plot.\",\n \"If a list must be same length as `vlines_x`. If a single number\",\n \"st[1] in plotutils.MARKER_LIST: markerstyles.append(st[1]) try: linestyles.append(st[2:]) except IndexError: linestyles.append(\\\" \\\") else: markerstyles.append(\\\" \\\")\",\n \"| nothing | +-------+----------------+ Marker reference: http://matplotlib.org/api/markers_api.html style [optional, default is None] Still\",\n \"invert_yaxis=False, round_index=None, plotting_position=\\\"weibull\\\", prob_plot_sort_values=\\\"descending\\\", source_units=None, target_units=None, lag_plot_lag=1, plot_styles=\\\"bright\\\", hlines_y=None, hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\\\"-\\\",\",\n \"linestyles.append(\\\"-\\\") continue if st[1] in plotutils.MARKER_LIST: markerstyles.append(st[1]) try: linestyles.append(st[2:]) except IndexError: linestyles.append(\\\" \\\")\",\n \"None, \\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.MARKER_LIST], None], # bar_hatchstyles=[str, [\\\"domain\\\", [\\\"auto\\\",\",\n \"the HTML color names. +------------------+ | HTML Color Names | +==================+ | red\",\n \"1], # mark_right=[bool, [\\\"domain\\\", [True, False]], 1], # scatter_matrix_diagonal=[str, [\\\"domain\\\", [\\\"kde\\\", \\\"hist\\\"]], 1],\",\n \"color names. +------------------+ | HTML Color Names | +==================+ | red | +------------------+\",\n \"= [\\\" \\\"] else: linestyles = [\\\" \\\" if i in [\\\" \\\",\",\n \"xlim = plotutils.know_your_limits(xlim, axis=xaxis) ylim = plotutils.know_your_limits(ylim, axis=yaxis) plot_styles = tsutils.make_list(plot_styles) + [\\\"no-latex\\\"]\",\n \"is ''] Will add a match line where x == y. Set to\",\n \"True ): warnings.warn( \\\"\\\"\\\" * * The --logx, --logy, --norm_xaxis, --norm_yaxis, --lognorm_xaxis, and\",\n \"[optional, default is based on range of x values] Comma separated lower and\",\n \"plots. drawstyle : str [optional, default is 'default'] 'default' connects the points with\",\n \"black, white, nd gray. Matplotlib styles: https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_reference.html SciencePlots styles: https://github.com/garrettj403/SciencePlots hlines_y: [optional, defaults\",\n \"norm_xaxis=norm_xaxis, norm_yaxis=norm_yaxis, lognorm_xaxis=lognorm_xaxis, lognorm_yaxis=lognorm_yaxis, xy_match_line=xy_match_line, grid=grid, label_rotation=label_rotation, label_skip=label_skip, force_freq=force_freq, drawstyle=drawstyle, por=por, invert_xaxis=invert_xaxis, invert_yaxis=invert_yaxis,\",\n \"# figsize=[float, [\\\"range\\\", [0, None]], 2], # legend=[bool, [\\\"domain\\\", [True, False]], 1], #\",\n \"False]], 1], # label_rotation=[float, [\\\"pass\\\", []], 1], # label_skip=[int, [\\\"range\\\", [1, None]], 1],\",\n \"plotting_position=\\\"weibull\\\", prob_plot_sort_values=\\\"descending\\\", source_units=None, target_units=None, lag_plot_lag=1, plot_styles=\\\"bright\\\", hlines_y=None, hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\\\"-\\\", vlines_x=None, vlines_ymin=None,\",\n \"str [optional, default depends on ``type``] Title of y-axis. title : str [optional,\",\n \"line where x == y. Set to a line style code. grid [optional,\",\n \"must be same length as `hlines_y`. If a single number will be used\",\n \"[]], None], # linestyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"] +\",\n \"\\\"auto\\\": nstyle = tsutils.make_list(style) if len(nstyle) != len(tsd.columns): raise ValueError( tsutils.error_wrapper( \\\"\\\"\\\" You\",\n \"type in [\\\"norm_yaxis\\\", \\\"lognorm_yaxis\\\", \\\"weibull_yaxis\\\"]: hlines_y = ppf(tsutils.make_list(hlines_y)) plt.hlines( hlines_y, hlines_xmin, hlines_xmax, colors=hlines_colors,\",\n \"type equal to \\\"bar\\\", \\\"barh\\\", \\\"bar_stacked\\\", and \\\"barh_stacked\\\"] If 'auto' will iterate through\",\n \"{start_date} {end_date} {clean} {skiprows} {index_type} {names} {source_units} {target_units} {round_index} plot_styles: str [optional, default\",\n \"[\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.LINE_LIST], None], # markerstyles=[str,\",\n \"the frequency try: try: pltfreq = str(tsd.index.freq, \\\"utf-8\\\").lower() except TypeError: pltfreq = str(tsd.index.freq).lower()\",\n \"the major ticks. label_rotation : int [optional] Rotation for major labels for bar\",\n \"* | stars | +-----------------+-------------------+ logx DEPRECATED: use '--xaxis=\\\"log\\\"' instead. logy DEPRECATED: use\",\n \"the data set. subplots [optional, defaults to False] Make separate subplots for each\",\n \"[optional, default is None] Still available, but if None is replaced by 'colors',\",\n \"hexagon1 | +-------+----------------+ | H | hexagon2 | +-------+----------------+ | ``+`` | plus\",\n \"for examples. xaxis : str [optional, default is 'arithmetic'] Defines the type of\",\n \"vertical lines. A missing value or None will end at the maximum x\",\n \"| point | +-------+----------------+ | o | circle | +-------+----------------+ | v |\",\n \"= \\\"\\\" else: # short freq string (day) OR (2 day) short_freq =\",\n \"else: bar_hatchstyles = tsutils.make_list(bar_hatchstyles) if markerstyles == \\\"auto\\\": markerstyles = plotutils.MARKER_LIST else: markerstyles\",\n \"'legend_names' option allows you to override the names in the data set. You\",\n \"legend = bool(legend == \\\"\\\" or legend == \\\"True\\\" or legend is None)\",\n \"If None will take from the color pallette in the current plot style.\",\n \"force_freq=None, drawstyle=\\\"default\\\", por=False, invert_xaxis=False, invert_yaxis=False, round_index=None, plotting_position=\\\"weibull\\\", prob_plot_sort_values=\\\"descending\\\", source_units=None, target_units=None, lag_plot_lag=1, plot_styles=\\\"bright\\\", hlines_y=None,\",\n \"colors = None else: colors = tsutils.make_list(colors) if linestyles == \\\"auto\\\": linestyles =\",\n \"None: hlines_xmax = nxlim[1] if vlines_x is not None: vlines_x = tsutils.make_list(vlines_x) vlines_ymin\",\n \"or None will end at the maximum x value for the entire plot.\",\n \"+------+---------+ | g | green | +------+---------+ | r | red | +------+---------+\",\n \"| tri_up | +-------+----------------+ | 3 | tri_left | +-------+----------------+ | 4 |\",\n \"\\\"seaborn-whitegrid\\\", \\\"tableau-colorblind10\\\", and SciencePlots styles \\\"science\\\", \\\"grid\\\", \\\"ieee\\\", \\\"scatter\\\", \\\"notebook\\\", \\\"high-vis\\\", \\\"bright\\\", \\\"vibrant\\\",\",\n \"!= len(tsd.columns): raise ValueError( tsutils.error_wrapper( \\\"\\\"\\\" You have to have the same number\",\n \"\\\"] + plotutils.MARKER_LIST], None], # bar_hatchstyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\"\",\n \"if hlines_xmax is None: hlines_xmax = nxlim[1] if vlines_x is not None: vlines_x\",\n \"a single number will be the maximum x value for all vertical lines.\",\n \"strings. Can identify colors in four different ways. 1. Use 'CN' where N\",\n \"ticks. label_rotation : int [optional] Rotation for major labels for bar plots. label_skip\",\n \"None will start at the minimum x value for the entire plot. vlines_ymax:\",\n \"# \\\"domain\\\", # [ # \\\"classic\\\", # \\\"Solarize_Light2\\\", # \\\"bmh\\\", # \\\"dark_background\\\", #\",\n \"also will change the chart size to fit in a column of the\",\n \"defaults to '10,6.5'] The 'width,height' of plot in inches. legend [optional, defaults to\",\n \"others. Comma separated matplotlib style strings per time-series. Just combine codes in 'ColorMarkerLine'\",\n \"DEPRECATED: use '--type=\\\"lognorm_yaxis\\\"' instead. xy_match_line : str [optional, defaults is ''] Will add\",\n \"number of style strings as time-series to plot. You supplied '{}' for style\",\n \"of colors for the vertical lines. If a single color then will be\",\n \"to True] Whether to display the legend. legend_names : str [optional, defaults to\",\n \"List of linestyles for the horizontal lines. If a single linestyle then will\",\n \"Strips NANs from beginning and end. {force_freq} invert_xaxis [optional, default is False] Invert\",\n \"= [\\\" \\\" if i is None else i for i in markerstyles]\",\n \"use '--type=\\\"norm_xaxis\\\"' instead. norm_yaxis DEPRECATED: use '--type=\\\"norm_yaxis\\\"' instead. lognorm_xaxis DEPRECATED: use '--type=\\\"lognorm_xaxis\\\"' instead.\",\n \"tsutils.make_list(hlines_linestyles) nxlim = ax.get_xlim() if hlines_xmin is None: hlines_xmin = nxlim[0] if hlines_xmax\",\n \"' '] The default ' ' will not plot a marker. If 'auto'\",\n \"label_skip : int [optional] Skip for major labels for bar plots. drawstyle :\",\n \"start the horizontal line. If a list must be same length as `hlines_y`.\",\n \"[\\\"range\\\", [1, None]], 1], # drawstyle=[str, [\\\"pass\\\", []], 1], # por=[bool, [\\\"domain\\\", [True,\",\n \"vlines_colors=vlines_colors, vlines_linestyles=vlines_linestyles, ) # @tsutils.validator( # ofilename=[str, [\\\"pass\\\", []], 1], # type=[str, [\\\"domain\\\",\",\n \"hlines_xmax=None, hlines_colors=None, hlines_linestyles=\\\"-\\\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\\\"-\\\", **kwds, ): r\\\"\\\"\\\"Plot data.\\\"\\\"\\\" #\",\n \"'--xlim 1,1000' would limit the plot from 1 to 1000, where '--xlim ,1000'\",\n \"for st in nstyle: colors.append(st[0]) if len(st) == 1: markerstyles.append(\\\" \\\") linestyles.append(\\\"-\\\") continue\",\n \"strings for each time-series in the data set. subplots [optional, defaults to False]\",\n \"target_units=target_units, lag_plot_lag=lag_plot_lag, plot_styles=plot_styles, hlines_y=hlines_y, hlines_xmin=hlines_xmin, hlines_xmax=hlines_xmax, hlines_colors=hlines_colors, hlines_linestyles=hlines_linestyles, vlines_x=vlines_x, vlines_ymin=vlines_ymin, vlines_ymax=vlines_ymax, vlines_colors=vlines_colors, vlines_linestyles=vlines_linestyles,\",\n \"\\\"grid\\\", \\\"ieee\\\", \\\"scatter\\\", \\\"notebook\\\", \\\"high-vis\\\", \\\"bright\\\", \\\"vibrant\\\", \\\"muted\\\", and \\\"retro\\\". If multiple styles\",\n \"mando import numpy as np import pandas as pd from mando.rst_text_formatter import RSTHelpFormatter\",\n \"source_units=source_units, target_units=target_units, clean=clean, por=por, ) tsd, lnames = plotutils.check(type, tsd, legend_names) # This\",\n \"prob_plot_sort_values=[str, [\\\"domain\\\", [\\\"ascending\\\", \\\"descending\\\"]], 1], # plot_styles=[ # str, # [ # \\\"domain\\\",\",\n \"If a single linestyle then will be used as the linestyle for all\",\n \"IndexError: linestyles.append(\\\" \\\") else: markerstyles.append(\\\" \\\") linestyles.append(st[1:]) if linestyles is None: linestyles =\",\n \"_ | hlines_y | +-------+----------------+ | None | nothing | +-------+----------------+ | '\",\n \"Color | +======+=========+ | b | blue | +------+---------+ | g | green\",\n \"| +-------+----------------+ | None | nothing | +-------+----------------+ | ' ' | nothing\",\n \"be same length as `vlines_x`. If None will take from the color pallette\",\n \"[\\\"pass\\\", []], None], # hlines_linestyles=[ # str, # [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\"\",\n \"and SciencePlots styles \\\"science\\\", \\\"grid\\\", \\\"ieee\\\", \\\"scatter\\\", \\\"notebook\\\", \\\"high-vis\\\", \\\"bright\\\", \\\"vibrant\\\", \\\"muted\\\", and\",\n \"| +------+---------+ | r | red | +------+---------+ | c | cyan |\",\n \"hlines_y = ppf(tsutils.make_list(hlines_y)) plt.hlines( hlines_y, hlines_xmin, hlines_xmax, colors=hlines_colors, linestyles=hlines_linestyles, ) if vlines_x is\",\n \"+------------------+ | burlywood | +------------------+ | chartreuse | +------------------+ | ...etc. | +------------------+\",\n \"to start the horizontal line. If a list must be same length as\",\n \"\\\") linestyles.append(\\\"-\\\") continue if st[1] in plotutils.MARKER_LIST: markerstyles.append(st[1]) try: linestyles.append(st[2:]) except IndexError: linestyles.append(\\\"\",\n \"| +=========+==============+ | ``-`` | solid | +---------+--------------+ | -- | dashed |\",\n \"| triangle left | +-------+----------------+ | > | triangle right | +-------+----------------+ |\",\n \"black, white, and gray, however the \\\"ieee\\\" also will change the chart size\",\n \"is 'descending'] How to sort the values for the probability plots. Only used\",\n \") def kde( input_ts=\\\"-\\\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\\\"datetime\\\", names=None, ofilename=\\\"plot.png\\\", xtitle=\\\"\\\",\",\n \"= plotutils.HATCH_LIST else: bar_hatchstyles = tsutils.make_list(bar_hatchstyles) if markerstyles == \\\"auto\\\": markerstyles = plotutils.MARKER_LIST\",\n \"\\\"lognorm_xaxis\\\", \\\"weibull_xaxis\\\"]: vlines_x = ppf(tsutils.make_list(vlines_x)) plt.vlines( vlines_x, vlines_ymin, vlines_ymax, colors=vlines_colors, linestyles=vlines_linestyles, ) plt.xlabel(xtitle)\",\n \"missing value or None will start at the minimum x value for the\",\n \"grid lines on the major ticks. label_rotation : int [optional] Rotation for major\",\n \"^ | triangle up | +-------+----------------+ | < | triangle left | +-------+----------------+\",\n \"short_freq = \\\"\\\" if colors == \\\"auto\\\": colors = None else: colors =\",\n \"vlines_colors=[str, [\\\"pass\\\", []], None], # vlines_linestyles=[ # str, # [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\",\",\n \"will iterate through the available matplotlib marker types. Otherwise on the command line\",\n \"1], # sharey=[bool, [\\\"domain\\\", [True, False]], 1], # colors=[str, [\\\"pass\\\", []], None], #\",\n \"[]], 1], # type=[str, [\\\"domain\\\", [\\\"kde\\\",],], 1,], # lag_plot_lag=[int, [\\\"range\\\", [1, None]], 1],\",\n \"used as the color for all vertical lines. If a list must be\",\n \"hlines_xmin, hlines_xmax, colors=hlines_colors, linestyles=hlines_linestyles, ) if vlines_x is not None: if type in\",\n \"skiprows=skiprows, index_type=index_type, names=names, ofilename=ofilename, xtitle=xtitle, ytitle=ytitle, title=title, figsize=figsize, legend=legend, legend_names=legend_names, subplots=subplots, sharex=sharex, sharey=sharey,\",\n \"mark_right=[bool, [\\\"domain\\\", [True, False]], 1], # scatter_matrix_diagonal=[str, [\\\"domain\\\", [\\\"kde\\\", \\\"hist\\\"]], 1], # bootstrap_size=[int,\",\n \"available matplotlib hatch types. Otherwise on the command line a comma separated list,\",\n \"x value for the entire plot. hlines_colors: [optional, defaults to None] List of\",\n \"by 'colors', 'linestyles', and 'markerstyles' options. Currently the 'style' option will override the\",\n \"\\\"tableau-colorblind10\\\", # \\\"science\\\", # \\\"grid\\\", # \\\"ieee\\\", # \\\"scatter\\\", # \\\"notebook\\\", # \\\"high-vis\\\",\",\n \"logy=False, xaxis=\\\"arithmetic\\\", yaxis=\\\"arithmetic\\\", xlim=None, ylim=None, secondary_y=False, mark_right=True, scatter_matrix_diagonal=\\\"kde\\\", bootstrap_size=50, bootstrap_samples=500, norm_xaxis=False, norm_yaxis=False, lognorm_xaxis=False,\",\n \"Defines the type of the yaxis. One of 'arithmetic', 'log'. secondary_y [optional, default\",\n \"codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed line with\",\n \"be same length as `hlines_y`. If None will take from the color pallette\",\n \"1], # yaxis=[str, [\\\"domain\\\", [\\\"arithmetic\\\", \\\"log\\\"]], 1], # secondary_y=[bool, [\\\"domain\\\", [True, False]], 1],\",\n \"is not None: plt.setp(line, color=c) plt.setp(line, marker=m) plt.setp(line, linestyle=l) ytitle = ytitle or\",\n \"secondary y-axis. mark_right [optional, default is True] When using a secondary_y axis, should\",\n \"--xaxis=\\\"log\\\" * For --logy use --yaxis=\\\"log\\\" * For --norm_xaxis use --type=\\\"norm_xaxis\\\" * For\",\n \"code from the table below. +------+---------+ | Code | Color | +======+=========+ |\",\n \"| +-------+----------------+ | _ | hlines_y | +-------+----------------+ | None | nothing |\",\n \"In case subplots=True, share x axis. sharey [optional, default to False] In case\",\n \"lognorm_yaxis=False, xy_match_line=\\\"\\\", grid=False, label_rotation=None, label_skip=1, force_freq=None, drawstyle=\\\"default\\\", por=False, invert_xaxis=False, invert_yaxis=False, round_index=None, plotting_position=\\\"weibull\\\", prob_plot_sort_values=\\\"descending\\\",\",\n \"for all vertical lines. If a list must be same length as `vlines_x`.\",\n \"3. Number between 0 and 1 that represents the level of gray, where\",\n \"bar_hatchstyles [optional, default to \\\"auto\\\", only used if type equal to \\\"bar\\\", \\\"barh\\\",\",\n \"\\\"seaborn-dark-palette\\\", \\\"seaborn-darkgrid\\\", \\\"seaborn-deep\\\", \\\"seaborn-muted\\\", \\\"seaborn-notebook\\\", \\\"seaborn-paper\\\", \\\"seaborn-pastel\\\", \\\"seaborn-poster\\\", \\\"seaborn-talk\\\", \\\"seaborn-ticks\\\", \\\"seaborn-white\\\", \\\"seaborn-whitegrid\\\", \\\"tableau-colorblind10\\\",\",\n \"the maximum x value for all horizontal lines. A missing value or None\",\n \"linestyle then will be used as the linestyle for all vertical lines. If\",\n \"'auto'] If 'auto' will iterate through the available matplotlib line types. Otherwise on\",\n \"-- | dashed | +---------+--------------+ | -. | dash_dot | +---------+--------------+ | :\",\n \"if using the Python API. +-----------------+-------------------+ | bar_hatchstyles | Description | +=================+===================+ |\",\n \"marker. bar_hatchstyles [optional, default to \\\"auto\\\", only used if type equal to \\\"bar\\\",\",\n \"``type``] Title of x-axis. ytitle : str [optional, default depends on ``type``] Title\",\n \"continue if st[1] in plotutils.MARKER_LIST: markerstyles.append(st[1]) try: linestyles.append(st[2:]) except IndexError: linestyles.append(\\\" \\\") else:\",\n \"norm_xaxis DEPRECATED: use '--type=\\\"norm_xaxis\\\"' instead. norm_yaxis DEPRECATED: use '--type=\\\"norm_yaxis\\\"' instead. lognorm_xaxis DEPRECATED: use\",\n \"1. Use 'CN' where N is a number from 0 to 9 that\",\n \". | point | +-------+----------------+ | o | circle | +-------+----------------+ | v\",\n \"lognorm_xaxis=False, lognorm_yaxis=False, xy_match_line=\\\"\\\", grid=False, label_rotation=None, label_skip=1, force_freq=None, drawstyle=\\\"default\\\", por=False, invert_xaxis=False, invert_yaxis=False, round_index=None, plotting_position=\\\"weibull\\\",\",\n \"| +-------+----------------+ | 8 | octagon | +-------+----------------+ | s | square |\",\n \"| red | +------------------+ | burlywood | +------------------+ | chartreuse | +------------------+ |\",\n \"from the color pallette in the current plot style. vlines_linestyles: [optional, defaults to\",\n \"False]], 1], # colors=[str, [\\\"pass\\\", []], None], # linestyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\",\",\n \"len(tsd.columns): raise ValueError( tsutils.error_wrapper( \\\"\\\"\\\" You have to have the same number of\",\n \"[\\\"pass\\\", []], 1], # ytitle=[str, [\\\"pass\\\", []], 1], # title=[str, [\\\"pass\\\", []], 1],\",\n \"columns=columns, start_date=start_date, end_date=end_date, clean=clean, skiprows=skiprows, index_type=index_type, names=names, ofilename=ofilename, xtitle=xtitle, ytitle=ytitle, title=title, figsize=figsize, legend=legend,\",\n \"hlines_linestyles=\\\"-\\\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\\\"-\\\", ): r\\\"\\\"\\\"Kernel density estimation of probability density\",\n \"+-------+----------------+ | 2 | tri_up | +-------+----------------+ | 3 | tri_left | +-------+----------------+\",\n \"default is True] When using a secondary_y axis, should the legend label the\",\n \"styles \\\"classic\\\", \\\"Solarize_Light2\\\", \\\"bmh\\\", \\\"dark_background\\\", \\\"fast\\\", \\\"fivethirtyeight\\\", \\\"ggplot\\\", \\\"grayscale\\\", \\\"seaborn\\\", \\\"seaborn-bright\\\", \\\"seaborn-colorblind\\\", \\\"seaborn-dark\\\",\",\n \"vertical lines. If a single linestyle then will be used as the linestyle\",\n \"is None) type = \\\"kde\\\" import matplotlib matplotlib.use(\\\"Agg\\\") import matplotlib.pyplot as plt from\",\n \"| +=================+===================+ | / | diagonal hatching | +-----------------+-------------------+ | ``\\\\`` | back\",\n \"subplots=subplots, sharex=sharex, sharey=sharey, colors=colors, linestyles=linestyles, markerstyles=markerstyles, bar_hatchstyles=bar_hatchstyles, style=style, logx=logx, logy=logy, xaxis=xaxis, yaxis=yaxis, xlim=xlim,\",\n \"'' | nothing | +-------+----------------+ Marker reference: http://matplotlib.org/api/markers_api.html style [optional, default is None]\",\n \"Black, White, and Gray Styles The \\\"ieee\\\" style is appropriate for black, white,\",\n \"for Kernel Density Estimation or 'hist' for a histogram. bootstrap_size : int [optional,\",\n \"as the linestyle for all vertical lines. If a list must be same\",\n \"horizontal lines. If a single color then will be used as the color\",\n \"[\\\"arithmetic\\\", \\\"log\\\"]], 1], # secondary_y=[bool, [\\\"domain\\\", [True, False]], 1], # mark_right=[bool, [\\\"domain\\\", [True,\",\n \"matplotlib hatch types. Otherwise on the command line a comma separated list, or\",\n \"matplotlib.ticker import FixedLocator tsd = tsutils.common_kwds( input_ts, skiprows=skiprows, names=names, index_type=index_type, start_date=start_date, end_date=end_date, pick=columns,\",\n \"the vertical lines. If a single linestyle then will be used as the\",\n \"labels for bar plots. label_skip : int [optional] Skip for major labels for\",\n \"= ax.get_xlim() if hlines_xmin is None: hlines_xmin = nxlim[0] if hlines_xmax is None:\",\n \"1], # subplots=[bool, [\\\"domain\\\", [True, False]], 1], # sharex=[bool, [\\\"domain\\\", [True, False]], 1],\",\n \"[\\\"domain\\\", [True, False]], 1], # invert_xaxis=[bool, [\\\"domain\\\", [True, False]], 1], # invert_yaxis=[bool, [\\\"domain\\\",\",\n \"None], # hlines_colors=[str, [\\\"pass\\\", []], None], # hlines_linestyles=[ # str, # [\\\"domain\\\", [\\\"auto\\\",\",\n \"for backward-compatibility. ACCEPTS:: ['default' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post'] por\",\n \"will be used as the minimum x values for all vertical lines. A\",\n \"limit the plot from 1 to 1000, where '--xlim ,1000' would base the\",\n \"1000, where '--xlim ,1000' would base the lower limit on the data and\",\n \"1], # figsize=[float, [\\\"range\\\", [0, None]], 2], # legend=[bool, [\\\"domain\\\", [True, False]], 1],\",\n \"upper limits for the x-axis of the plot. For example, '--xlim 1,1000' would\",\n \"start the vertical line. If a list must be same length as `vlines_x`.\",\n \"i for i in linestyles] markerstyles = [\\\" \\\" if i is None\",\n \"TypeError: pltfreq = str(tsd.index.freq).lower() if pltfreq.split(\\\" \\\")[0][1:] == \\\"1\\\": beginstr = 3 else:\",\n \"| ``*`` | star | +-------+----------------+ | h | hexagon1 | +-------+----------------+ |\",\n \"OR (2 day) short_freq = \\\"({})\\\".format(pltfreq[beginstr:-1]) except AttributeError: short_freq = \\\"\\\" if colors\",\n \"str [optional, default is \\\"default\\\"] Set the style of the plot. One or\",\n \"separated lower and upper limits for the x-axis of the plot. For example,\",\n \"same length as `vlines_x`. If a single number will be used as the\",\n \"back diagonal | +-----------------+-------------------+ | ``|`` | vertical | +-----------------+-------------------+ | - |\",\n \"previous. Color Blind Appropriate Styles The styles \\\"seaborn-colorblind\\\", \\\"tableau-colorblind10\\\", \\\"bright\\\", \\\"vibrant\\\", and \\\"muted\\\"\",\n \"on secondary y-axis. mark_right [optional, default is True] When using a secondary_y axis,\",\n \"yaxis == \\\"log\\\": logy = True xlim = plotutils.know_your_limits(xlim, axis=xaxis) ylim = plotutils.know_your_limits(ylim,\",\n \"+-------+----------------+ | 4 | tri_right | +-------+----------------+ | 8 | octagon | +-------+----------------+\",\n \"vlines_linestyles: [optional, defaults to None] List of linestyles for the vertical lines. If\",\n \"all of the characteristics of the previous. Color Blind Appropriate Styles The styles\",\n \"tsutils.error_wrapper( \\\"\\\"\\\" You have to have the same number of style strings as\",\n \"[optional, default is False] Whether to plot on the secondary y-axis. If a\",\n \"You have to have the same number of style strings as time-series to\",\n \"tsutils.make_list(hlines_xmax) hlines_colors = tsutils.make_list(hlines_colors) hlines_linestyles = tsutils.make_list(hlines_linestyles) nxlim = ax.get_xlim() if hlines_xmin is\",\n \"hlines_xmin=[float, [\\\"pass\\\", []], None], # hlines_xmax=[float, [\\\"pass\\\", []], None], # hlines_colors=[str, [\\\"pass\\\", []],\",\n \"plt from matplotlib.ticker import FixedLocator tsd = tsutils.common_kwds( input_ts, skiprows=skiprows, names=names, index_type=index_type, start_date=start_date,\",\n \"norm_yaxis=norm_yaxis, lognorm_xaxis=lognorm_xaxis, lognorm_yaxis=lognorm_yaxis, xy_match_line=xy_match_line, grid=grid, label_rotation=label_rotation, label_skip=label_skip, force_freq=force_freq, drawstyle=drawstyle, por=por, invert_xaxis=invert_xaxis, invert_yaxis=invert_yaxis, round_index=round_index,\",\n \"type in [ \\\"time\\\", \\\"xy\\\", \\\"bar\\\", \\\"bar_stacked\\\", \\\"histogram\\\", \\\"norm_xaxis\\\", \\\"lognorm_xaxis\\\", \\\"weibull_xaxis\\\", \\\"norm_yaxis\\\", \\\"lognorm_yaxis\\\",\",\n \"+-------+----------------+ | D | diamond | +-------+----------------+ | d | thin diamond |\",\n \"if type in [\\\"kde\\\", \\\"probability_density\\\"]: ax = tsd.plot.kde( legend=legend, subplots=subplots, sharex=sharex, sharey=sharey, style=None,\",\n \"| +======+=========+ | b | blue | +------+---------+ | g | green |\",\n \"a comma separated list of strings for each time-series in the data set.\",\n \"create a PNG file. If used within Python, and `ofilename` is None will\",\n \"time-series names associated with the input data. The 'legend_names' option allows you to\",\n \"None, \\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.HATCH_LIST], None], # style=[str, [\\\"pass\\\", []],\",\n \"invert_xaxis is True: plt.gca().invert_xaxis() if invert_yaxis is True: plt.gca().invert_yaxis() plt.grid(grid) plt.title(title) plt.tight_layout() if\",\n \"the probability plots. Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis.\",\n \"will take for the standard linestyles list. \\\"\\\"\\\" plt = kde( input_ts=input_ts, columns=columns,\",\n \"None], # linestyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.LINE_LIST],\",\n \"then will be used as the linestyle for all vertical lines. If a\",\n \"D | diamond | +-------+----------------+ | d | thin diamond | +-------+----------------+ |\",\n \"[optional, default is False] Whether to plot grid lines on the major ticks.\",\n \"time-series automatically. scatter_matrix_diagonal : str [optional, defaults to 'kde'] If plot type is\",\n \"vlines_linestyles=vlines_linestyles, ) # @tsutils.validator( # ofilename=[str, [\\\"pass\\\", []], 1], # type=[str, [\\\"domain\\\", [\\\"kde\\\",],],\",\n \"at the maximum x value for the entire plot. hlines_colors: [optional, defaults to\",\n \"Comma separated lower and upper limits for the x-axis of the plot. For\",\n \"[\\\"domain\\\", [True, False]], 1], # invert_yaxis=[bool, [\\\"domain\\\", [True, False]], 1], # plotting_position=[ #\",\n \"Python API. To not display lines use a space (' ') as the\",\n \"o | small circle | +-----------------+-------------------+ | O | large circle | +-----------------+-------------------+\",\n \"allows you to override the names in the data set. You must supply\",\n \"[\\\"range\\\", [1, None]], 1], # xtitle=[str, [\\\"pass\\\", []], 1], # ytitle=[str, [\\\"pass\\\", []],\",\n \"tsutils.make_list(figsize, n=2) _, ax = plt.subplots(figsize=figsize) if type in [\\\"kde\\\", \\\"probability_density\\\"]: ax =\",\n \"from __future__ import absolute_import, division, print_function import itertools import os import warnings import\",\n \"| green | +------+---------+ | r | red | +------+---------+ | c |\",\n \"able to be distinguished by someone with color blindness. Black, White, and Gray\",\n \"to None] List of x values where to place a vertical line. vlines_ymin:\",\n \"= tsutils.make_list(hlines_linestyles) nxlim = ax.get_xlim() if hlines_xmin is None: hlines_xmin = nxlim[0] if\",\n \"# xy_match_line=[str, [\\\"pass\\\", []], 1], # grid=[bool, [\\\"domain\\\", [True, False]], 1], # label_rotation=[float,\",\n \"DEPRECATED: use '--xaxis=\\\"log\\\"' instead. logy DEPRECATED: use '--yaxis=\\\"log\\\"' instead. xlim [optional, default is\",\n \"'colors', 'linestyles', and 'markerstyles' instead of using the 'style' keyword. +-------+----------------+ | Code\",\n \"'arithmetic'] Defines the type of the xaxis. One of 'arithmetic', 'log'. yaxis :\",\n \"be same length as `vlines_x`. If None will take for the standard linestyles\",\n \"normally use the time-series names associated with the input data. The 'legend_names' option\",\n \"for the horizontal lines. If a single color then will be used as\",\n \") plot_styles = [ os.path.join(style_loc, i + \\\".mplstyle\\\") if os.path.exists(os.path.join(style_loc, i + \\\".mplstyle\\\"))\",\n \"dashed line with star marker. bar_hatchstyles [optional, default to \\\"auto\\\", only used if\",\n \"using the 'style' keyword. +-------+----------------+ | Code | Markers | +=======+================+ | .\",\n \"1], # scatter_matrix_diagonal=[str, [\\\"domain\\\", [\\\"kde\\\", \\\"hist\\\"]], 1], # bootstrap_size=[int, [\\\"range\\\", [0, None]], 1],\",\n \"to as needed. lag_plot_lag [optional, default to 1] The lag used if ``type``\",\n \"is True: plt.gca().invert_yaxis() plt.grid(grid) plt.title(title) plt.tight_layout() if ofilename is not None: plt.savefig(ofilename) return\",\n \"else i for i in linestyles] markerstyles = [\\\" \\\" if i is\",\n \"Title of y-axis. title : str [optional, defaults to ''] Title of chart.\",\n \"for the x-axis of the plot. For example, '--xlim 1,1000' would limit the\",\n \"xlim=xlim, ylim=ylim, secondary_y=secondary_y, mark_right=mark_right, scatter_matrix_diagonal=scatter_matrix_diagonal, bootstrap_size=bootstrap_size, bootstrap_samples=bootstrap_samples, norm_xaxis=norm_xaxis, norm_yaxis=norm_yaxis, lognorm_xaxis=lognorm_xaxis, lognorm_yaxis=lognorm_yaxis, xy_match_line=xy_match_line, grid=grid,\",\n \"plot. vlines_colors: [optional, defaults to None] List of colors for the vertical lines.\",\n \"plotutils.LINE_LIST], # None, # ], # ) def kde( input_ts=\\\"-\\\", columns=None, start_date=None, end_date=None,\",\n \"Currently the 'style' option will override the others. Comma separated matplotlib style strings\",\n \"| c | cyan | +------+---------+ | m | magenta | +------+---------+ |\",\n \"left | +-------+----------------+ | > | triangle right | +-------+----------------+ | 1 |\",\n \"the minimum x value for the entire plot. vlines_ymax: [optional, defaults to None]\",\n \"a single color then will be used as the color for all vertical\",\n \"from 1 to 1000, where '--xlim ,1000' would base the lower limit on\",\n \"all vertical lines. A missing value or None will start at the minimum\",\n \"try: linestyles.append(st[2:]) except IndexError: linestyles.append(\\\" \\\") else: markerstyles.append(\\\" \\\") linestyles.append(st[1:]) if linestyles is\",\n \"source_units=None, target_units=None, lag_plot_lag=1, plot_styles=\\\"bright\\\", hlines_y=None, hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\\\"-\\\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None,\",\n \"hlines_y is not None: if type in [\\\"norm_yaxis\\\", \\\"lognorm_yaxis\\\", \\\"weibull_yaxis\\\"]: hlines_y = ppf(tsutils.make_list(hlines_y))\",\n \"' ' | nothing | +-------+----------------+ | '' | nothing | +-------+----------------+ Marker\",\n \"to None] List of maximum x values to end each vertical line. If\",\n \"| plus | +-------+----------------+ | x | x | +-------+----------------+ | D |\",\n \"[optional, defaults to None] List of colors for the vertical lines. If a\",\n \"[\\\"pass\\\", []], None], # vlines_colors=[str, [\\\"pass\\\", []], None], # vlines_linestyles=[ # str, #\",\n \"to '10,6.5'] The 'width,height' of plot in inches. legend [optional, defaults to True]\",\n \"style=\\\"auto\\\", logx=False, logy=False, xaxis=\\\"arithmetic\\\", yaxis=\\\"arithmetic\\\", xlim=None, ylim=None, secondary_y=False, mark_right=True, scatter_matrix_diagonal=\\\"kde\\\", bootstrap_size=50, bootstrap_samples=500, norm_xaxis=False,\",\n \"Comma separated lower and upper limits for the y-axis of the plot. See\",\n \"in a column of the \\\"IEEE\\\" journal. The \\\"grayscale\\\" is another style useful\",\n \"colors in four different ways. 1. Use 'CN' where N is a number\",\n \"utf-8 -*- \\\"\\\"\\\"Collection of functions for the manipulation of time series.\\\"\\\"\\\" from __future__\",\n \"hlines_colors=[str, [\\\"pass\\\", []], None], # hlines_linestyles=[ # str, # [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\",\",\n \"\\\"bright\\\", \\\"vibrant\\\", \\\"muted\\\", and \\\"retro\\\". If multiple styles then each over rides some\",\n \"None: vlines_ymin = nylim[0] if vlines_ymax is None: vlines_ymax = nylim[1] if type\",\n \"plt.gca().invert_yaxis() plt.grid(grid) plt.title(title) plt.tight_layout() if ofilename is not None: plt.savefig(ofilename) return plt kde.__doc__\",\n \"prob_plot_sort_values=prob_plot_sort_values, source_units=source_units, target_units=target_units, lag_plot_lag=lag_plot_lag, plot_styles=plot_styles, hlines_y=hlines_y, hlines_xmin=hlines_xmin, hlines_xmax=hlines_xmax, hlines_colors=hlines_colors, hlines_linestyles=hlines_linestyles, vlines_x=vlines_x, vlines_ymin=vlines_ymin, vlines_ymax=vlines_ymax,\",\n \"# plotting_position=[ # str, # [ # \\\"domain\\\", # [\\\"weibull\\\", \\\"benard\\\", \\\"tukey\\\", \\\"gumbel\\\",\",\n \"[optional, default to False] In case subplots=True, share y axis. colors [optional, default\",\n \"Can identify colors in four different ways. 1. Use 'CN' where N is\",\n \"where 0 is white an 1 is black. 4. Any of the HTML\",\n \"through the available matplotlib marker types. Otherwise on the command line a comma\",\n \"is 'arithmetic'] Defines the type of the xaxis. One of 'arithmetic', 'log'. yaxis\",\n \"single number will be the maximum x value for all vertical lines. A\",\n \"'CN' where N is a number from 0 to 9 that gets the\",\n \"a match line where x == y. Set to a line style code.\",\n \"default is False] Whether to plot on the secondary y-axis. If a list/tuple,\",\n \"], # ], # None, # ], # hlines_y=[float, [\\\"pass\\\", []], None], #\",\n \"is to help pretty print the frequency try: try: pltfreq = str(tsd.index.freq, \\\"utf-8\\\").lower()\",\n \"to work around some old option defaults with the implementation of # mando\",\n \"[\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.LINE_LIST], # None, # ],\",\n \"= \\\" \\\" if style != \\\"auto\\\": nstyle = tsutils.make_list(style) if len(nstyle) !=\",\n \"ilinestyles = itertools.cycle(linestyles) # Only for bar, barh, bar_stacked, and barh_stacked. ibar_hatchstyles =\",\n \"[optional, defaults to None] List of maximum x values to end each horizontal\",\n \"\\\"bar_stacked\\\", and \\\"barh_stacked\\\"] If 'auto' will iterate through the available matplotlib hatch types.\",\n \"'--xlim ,1000' would base the lower limit on the data and set the\",\n \"None], # vlines_colors=[str, [\\\"pass\\\", []], None], # vlines_linestyles=[ # str, # [\\\"domain\\\", [\\\"auto\\\",\",\n \"if legend is True: plt.legend(loc=\\\"best\\\") if hlines_y is not None: hlines_y = tsutils.make_list(hlines_y)\",\n \"print the frequency try: try: pltfreq = str(tsd.index.freq, \\\"utf-8\\\").lower() except TypeError: pltfreq =\",\n \"'--type=\\\"norm_yaxis\\\"' instead. lognorm_xaxis DEPRECATED: use '--type=\\\"lognorm_xaxis\\\"' instead. lognorm_yaxis DEPRECATED: use '--type=\\\"lognorm_yaxis\\\"' instead. xy_match_line\",\n \"[1, None]], 1], # drawstyle=[str, [\\\"pass\\\", []], 1], # por=[bool, [\\\"domain\\\", [True, False]],\",\n \"True] When using a secondary_y axis, should the legend label the axis of\",\n \"tsd = tsutils.common_kwds( input_ts, skiprows=skiprows, names=names, index_type=index_type, start_date=start_date, end_date=end_date, pick=columns, round_index=round_index, dropna=\\\"all\\\", source_units=source_units,\",\n \"List of colors for the horizontal lines. If a single color then will\",\n \"plot_styles=\\\"bright\\\", hlines_y=None, hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\\\"-\\\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\\\"-\\\", **kwds, ):\",\n \"connects the points with lines. The steps variants produce step-plots. 'steps' is equivalent\",\n \"\\\"science\\\", # \\\"grid\\\", # \\\"ieee\\\", # \\\"scatter\\\", # \\\"notebook\\\", # \\\"high-vis\\\", # \\\"bright\\\",\",\n \"| y | yellow | +------+---------+ | k | black | +------+---------+ 3.\",\n \"Gray Styles The \\\"ieee\\\" style is appropriate for black, white, and gray, however\",\n \"subset for 'bootstrap' plot. bootstrap_samples [optional, defaults to 500] The number of random\",\n \"defaults to None] List of linestyles for the vertical lines. If a single\",\n \"lognorm_xaxis=lognorm_xaxis, lognorm_yaxis=lognorm_yaxis, xy_match_line=xy_match_line, grid=grid, label_rotation=label_rotation, label_skip=label_skip, force_freq=force_freq, drawstyle=drawstyle, por=por, invert_xaxis=invert_xaxis, invert_yaxis=invert_yaxis, round_index=round_index, plotting_position=plotting_position,\",\n \"if len(st) == 1: markerstyles.append(\\\" \\\") linestyles.append(\\\"-\\\") continue if st[1] in plotutils.MARKER_LIST: markerstyles.append(st[1])\",\n \"| tri_right | +-------+----------------+ | 8 | octagon | +-------+----------------+ | s |\",\n \"the data called kernel density estimation (KDE). {ydata} Parameters ---------- {input_ts} ofilename :\",\n \"of color code strings. Can identify colors in four different ways. 1. Use\",\n \"\\\"seaborn-muted\\\", \\\"seaborn-notebook\\\", \\\"seaborn-paper\\\", \\\"seaborn-pastel\\\", \\\"seaborn-poster\\\", \\\"seaborn-talk\\\", \\\"seaborn-ticks\\\", \\\"seaborn-white\\\", \\\"seaborn-whitegrid\\\", \\\"tableau-colorblind10\\\", and SciencePlots styles\",\n \"the points with lines. The steps variants produce step-plots. 'steps' is equivalent to\",\n \"photo-copyable black, white, nd gray. Matplotlib styles: https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_reference.html SciencePlots styles: https://github.com/garrettj403/SciencePlots hlines_y: [optional,\",\n \"None]], 1], # xy_match_line=[str, [\\\"pass\\\", []], 1], # grid=[bool, [\\\"domain\\\", [True, False]], 1],\",\n \"tstoolbox import tsutils from .. import plotutils warnings.filterwarnings(\\\"ignore\\\") @mando.command(\\\"kde\\\", formatter_class=RSTHelpFormatter, doctype=\\\"numpy\\\") @tsutils.doc(plotutils.ldocstrings) def\",\n \"h | hexagon1 | +-------+----------------+ | H | hexagon2 | +-------+----------------+ | ``+``\",\n \"\\\"tableau-colorblind10\\\", and SciencePlots styles \\\"science\\\", \\\"grid\\\", \\\"ieee\\\", \\\"scatter\\\", \\\"notebook\\\", \\\"high-vis\\\", \\\"bright\\\", \\\"vibrant\\\", \\\"muted\\\",\",\n \"vlines_x is not None: if type in [\\\"norm_xaxis\\\", \\\"lognorm_xaxis\\\", \\\"weibull_xaxis\\\"]: vlines_x = ppf(tsutils.make_list(vlines_x))\",\n \"False] Make separate subplots for each time series. sharex [optional, default to True]\",\n \"list of y values where to place a horizontal line. hlines_xmin: [optional, defaults\",\n \"\\\"seaborn-darkgrid\\\", # \\\"seaborn-deep\\\", # \\\"seaborn-muted\\\", # \\\"seaborn-notebook\\\", # \\\"seaborn-paper\\\", # \\\"seaborn-pastel\\\", # \\\"seaborn-poster\\\",\",\n \"tri_right | +-------+----------------+ | 8 | octagon | +-------+----------------+ | s | square\",\n \"'steps-pre' and is maintained for backward-compatibility. ACCEPTS:: ['default' | 'steps' | 'steps-pre' |\",\n \"| + | crossed | +-----------------+-------------------+ | x | crossed diagonal | +-----------------+-------------------+\",\n \"'log'. secondary_y [optional, default is False] Whether to plot on the secondary y-axis.\",\n \"= plotutils.know_your_limits(ylim, axis=yaxis) plot_styles = tsutils.make_list(plot_styles) + [\\\"no-latex\\\"] style_loc = os.path.join( os.path.dirname(__file__), os.pardir,\",\n \"+------+---------+ | k | black | +------+---------+ 3. Number between 0 and 1\",\n \"the vertical lines. If a single color then will be used as the\",\n \": | dotted | +---------+--------------+ | None | draw nothing | +---------+--------------+ |\",\n \"input_ts=input_ts, columns=columns, start_date=start_date, end_date=end_date, clean=clean, skiprows=skiprows, index_type=index_type, names=names, ofilename=ofilename, xtitle=xtitle, ytitle=ytitle, title=title, figsize=figsize,\",\n \"+ [\\\"no-latex\\\"] style_loc = os.path.join( os.path.dirname(__file__), os.pardir, \\\"SciencePlots_styles\\\" ) plot_styles = [ os.path.join(style_loc,\",\n \"| +------------------+ Color reference: http://matplotlib.org/api/colors_api.html linestyles [optional, default to 'auto'] If 'auto' will\",\n \": int [optional] Rotation for major labels for bar plots. label_skip : int\",\n \"por=[bool, [\\\"domain\\\", [True, False]], 1], # invert_xaxis=[bool, [\\\"domain\\\", [True, False]], 1], # invert_yaxis=[bool,\",\n \"style. 2. Single character code from the table below. +------+---------+ | Code |\",\n \"str [optional, defaults to None] Legend would normally use the time-series names associated\",\n \"of gray, where 0 is white an 1 is black. 4. Any of\",\n \"= tsutils.make_list(markerstyles) if markerstyles is None: markerstyles = \\\" \\\" if style !=\",\n \"len(nstyle) != len(tsd.columns): raise ValueError( tsutils.error_wrapper( \\\"\\\"\\\" You have to have the same\",\n \"as `vlines_x`. If None will take from the color pallette in the current\",\n \"lower limit on the data and set the upper limit to 1000. ylim\",\n \"\\\") linestyles.append(st[1:]) if linestyles is None: linestyles = [\\\" \\\"] else: linestyles =\",\n \"True: plt.gca().invert_xaxis() if invert_yaxis is True: plt.gca().invert_yaxis() plt.grid(grid) plt.title(title) plt.tight_layout() if ofilename is\",\n \"values to start the vertical line. If a list must be same length\",\n \"plotutils.LINE_LIST else: linestyles = tsutils.make_list(linestyles) if bar_hatchstyles == \\\"auto\\\": bar_hatchstyles = plotutils.HATCH_LIST else:\",\n \"vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\\\"-\\\", **kwds, ): r\\\"\\\"\\\"Plot data.\\\"\\\"\\\" # Need to work around\",\n \"Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. prob_plot_sort_values : str\",\n \"journal. The \\\"grayscale\\\" is another style useful for photo-copyable black, white, nd gray.\",\n \"for all horizontal lines. If a list must be same length as `hlines_y`.\",\n \"deprecated. * * For --logx use --xaxis=\\\"log\\\" * For --logy use --yaxis=\\\"log\\\" *\",\n \"+ \\\".mplstyle\\\")) else i for i in plot_styles ] plt.style.use(plot_styles) figsize = tsutils.make_list(figsize,\",\n \"supplied '{}' for style which has {} style strings, but you have {}\",\n \"pltfreq = str(tsd.index.freq).lower() if pltfreq.split(\\\" \\\")[0][1:] == \\\"1\\\": beginstr = 3 else: beginstr\",\n \"line with star marker. bar_hatchstyles [optional, default to \\\"auto\\\", only used if type\",\n \"[\\\"pass\\\", []], None], # vlines_ymax=[float, [\\\"pass\\\", []], None], # vlines_colors=[str, [\\\"pass\\\", []], None],\",\n \"default to \\\"auto\\\", only used if type equal to \\\"bar\\\", \\\"barh\\\", \\\"bar_stacked\\\", and\",\n \"for the entire plot. vlines_colors: [optional, defaults to None] List of colors for\",\n \"to 50] The size of the random subset for 'bootstrap' plot. bootstrap_samples [optional,\",\n \"): r\\\"\\\"\\\"Kernel density estimation of probability density function. \\\"kde\\\" will create a plot\",\n \"# vlines_colors=[str, [\\\"pass\\\", []], None], # vlines_linestyles=[ # str, # [\\\"domain\\\", [\\\"auto\\\", None,\",\n \"the y-axis of the plot. See `xlim` for examples. xaxis : str [optional,\",\n \"vlines_ymax = tsutils.make_list(vlines_ymax) vlines_colors = tsutils.make_list(vlines_colors) vlines_linestyles = tsutils.make_list(vlines_linestyles) nylim = ax.get_ylim() if\",\n \"| diamond | +-------+----------------+ | d | thin diamond | +-------+----------------+ | _\",\n \"to False] In case subplots=True, share y axis. colors [optional, default is 'auto']\",\n \"weibull_yaxis. {columns} {start_date} {end_date} {clean} {skiprows} {index_type} {names} {source_units} {target_units} {round_index} plot_styles: str\",\n \"identify colors in four different ways. 1. Use 'CN' where N is a\",\n \"[\\\" \\\", None] else i for i in linestyles] markerstyles = [\\\" \\\"\",\n \"| +-------+----------------+ | > | triangle right | +-------+----------------+ | 1 | tri_down\",\n \"y-axis. plotting_position : str [optional, default is 'weibull'] {plotting_position_table} Only used for norm_xaxis,\",\n \"is black. 4. Any of the HTML color names. +------------------+ | HTML Color\",\n \"in [ \\\"time\\\", \\\"xy\\\", \\\"bar\\\", \\\"bar_stacked\\\", \\\"histogram\\\", \\\"norm_xaxis\\\", \\\"lognorm_xaxis\\\", \\\"weibull_xaxis\\\", \\\"norm_yaxis\\\", \\\"lognorm_yaxis\\\", \\\"weibull_yaxis\\\",\",\n \"added to as needed. lag_plot_lag [optional, default to 1] The lag used if\",\n \"the input data. The 'legend_names' option allows you to override the names in\",\n \"\\\"tableau-colorblind10\\\", \\\"bright\\\", \\\"vibrant\\\", and \\\"muted\\\" are all styles that are setup to be\",\n \"time-series in the data set. subplots [optional, defaults to False] Make separate subplots\",\n \"invert_xaxis=False, invert_yaxis=False, round_index=None, plotting_position=\\\"weibull\\\", prob_plot_sort_values=\\\"descending\\\", source_units=None, target_units=None, lag_plot_lag=1, plot_styles=\\\"bright\\\", hlines_y=None, hlines_xmin=None, hlines_xmax=None, hlines_colors=None,\",\n \"value or None will start at the minimum x value for the entire\",\n \"plot. See `xlim` for examples. xaxis : str [optional, default is 'arithmetic'] Defines\",\n \"+------------------+ | HTML Color Names | +==================+ | red | +------------------+ | burlywood\",\n \"to None] Number or list of y values where to place a horizontal\",\n \"# invert_xaxis=[bool, [\\\"domain\\\", [True, False]], 1], # invert_yaxis=[bool, [\\\"domain\\\", [True, False]], 1], #\",\n \"steps variants produce step-plots. 'steps' is equivalent to 'steps-pre' and is maintained for\",\n \"8 | octagon | +-------+----------------+ | s | square | +-------+----------------+ | p\",\n \"* * For --logx use --xaxis=\\\"log\\\" * For --logy use --yaxis=\\\"log\\\" * For\",\n \"display lines use a space (' ') as the linestyle code. Separated 'colors',\",\n \"| * | stars | +-----------------+-------------------+ logx DEPRECATED: use '--xaxis=\\\"log\\\"' instead. logy DEPRECATED:\",\n \"[]], None], # vlines_ymax=[float, [\\\"pass\\\", []], None], # vlines_colors=[str, [\\\"pass\\\", []], None], #\",\n \"+-------+----------------+ | ``+`` | plus | +-------+----------------+ | x | x | +-------+----------------+\",\n \"os.path.dirname(__file__), os.pardir, \\\"SciencePlots_styles\\\" ) plot_styles = [ os.path.join(style_loc, i + \\\".mplstyle\\\") if os.path.exists(os.path.join(style_loc,\",\n \"to 'plot.png'] Output filename for the plot. Extension defines the type, for example\",\n \"to a line style code. grid [optional, default is False] Whether to plot\",\n \"If a list must be same length as `hlines_y`. If a single number\",\n \"[True, False]], 1], # invert_yaxis=[bool, [\\\"domain\\\", [True, False]], 1], # plotting_position=[ # str,\",\n \"The \\\"ieee\\\" style is appropriate for black, white, and gray, however the \\\"ieee\\\"\",\n \"style [optional, default is None] Still available, but if None is replaced by\",\n \"--lognorm_yaxis options are deprecated. * * For --logx use --xaxis=\\\"log\\\" * For --logy\",\n \"2. Single character code from the table below. +------+---------+ | Code | Color\",\n \"the horizontal lines. If a single color then will be used as the\",\n \"| +-------+----------------+ | '' | nothing | +-------+----------------+ Marker reference: http://matplotlib.org/api/markers_api.html style [optional,\",\n \"API. +-----------------+-------------------+ | bar_hatchstyles | Description | +=================+===================+ | / | diagonal hatching\",\n \"logy=logy, xaxis=xaxis, yaxis=yaxis, xlim=xlim, ylim=ylim, secondary_y=secondary_y, mark_right=mark_right, scatter_matrix_diagonal=scatter_matrix_diagonal, bootstrap_size=bootstrap_size, bootstrap_samples=bootstrap_samples, norm_xaxis=norm_xaxis, norm_yaxis=norm_yaxis, lognorm_xaxis=lognorm_xaxis,\",\n \"linestyles = [\\\" \\\" if i in [\\\" \\\", None] else i for\",\n \"None: if type in [\\\"norm_xaxis\\\", \\\"lognorm_xaxis\\\", \\\"weibull_xaxis\\\"]: vlines_x = ppf(tsutils.make_list(vlines_x)) plt.vlines( vlines_x, vlines_ymin,\",\n \"ax = plt.subplots(figsize=figsize) if type in [\\\"kde\\\", \\\"probability_density\\\"]: ax = tsd.plot.kde( legend=legend, subplots=subplots,\",\n \") if vlines_x is not None: if type in [\\\"norm_xaxis\\\", \\\"lognorm_xaxis\\\", \\\"weibull_xaxis\\\"]: vlines_x\",\n \"sharey=False, colors=\\\"auto\\\", linestyles=\\\"auto\\\", markerstyles=\\\" \\\", bar_hatchstyles=\\\"auto\\\", style=\\\"auto\\\", logx=False, logy=False, xaxis=\\\"arithmetic\\\", yaxis=\\\"arithmetic\\\", xlim=None, ylim=None,\",\n \"You must supply a comma separated list of strings for each time-series in\",\n \"that represents the level of gray, where 0 is white an 1 is\",\n \"[optional, default to ' '] The default ' ' will not plot a\",\n \"colors=[str, [\\\"pass\\\", []], None], # linestyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\"\",\n \"[\\\"pass\\\", []], 2], # xaxis=[str, [\\\"domain\\\", [\\\"arithmetic\\\", \\\"log\\\"]], 1], # yaxis=[str, [\\\"domain\\\", [\\\"arithmetic\\\",\",\n \"1], # plot_styles=[ # str, # [ # \\\"domain\\\", # [ # \\\"classic\\\",\",\n \"will end at the maximum x value for the entire plot. hlines_colors: [optional,\",\n \"# [ # \\\"domain\\\", # [ # \\\"classic\\\", # \\\"Solarize_Light2\\\", # \\\"bmh\\\", #\",\n \"= tsutils.make_list(vlines_linestyles) nylim = ax.get_ylim() if vlines_ymin is None: vlines_ymin = nylim[0] if\",\n \"str(tsd.index.freq, \\\"utf-8\\\").lower() except TypeError: pltfreq = str(tsd.index.freq).lower() if pltfreq.split(\\\" \\\")[0][1:] == \\\"1\\\": beginstr\",\n \"will start at the minimum x value for the entire plot. hlines_xmax: [optional,\",\n \"False] Invert the x-axis. invert_yaxis [optional, default is False] Invert the y-axis. plotting_position\",\n \"# \\\"tableau-colorblind10\\\", # \\\"science\\\", # \\\"grid\\\", # \\\"ieee\\\", # \\\"scatter\\\", # \\\"notebook\\\", #\",\n \"[]], None], # vlines_ymin=[float, [\\\"pass\\\", []], None], # vlines_ymax=[float, [\\\"pass\\\", []], None], #\",\n \"| magenta | +------+---------+ | y | yellow | +------+---------+ | k |\",\n \"for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. prob_plot_sort_values : str [optional, default\",\n \"If a single number will be the maximum x value for all vertical\",\n \"else: markerstyles = tsutils.make_list(markerstyles) if markerstyles is None: markerstyles = \\\" \\\" if\",\n \"style != \\\"auto\\\": nstyle = tsutils.make_list(style) if len(nstyle) != len(tsd.columns): raise ValueError( tsutils.error_wrapper(\",\n \"n=2) _, ax = plt.subplots(figsize=figsize) if type in [\\\"kde\\\", \\\"probability_density\\\"]: ax = tsd.plot.kde(\",\n \"colors in the chosen style. At the command line supply a comma separated\",\n \"[\\\"range\\\", [0, None]], 1], # xy_match_line=[str, [\\\"pass\\\", []], 1], # grid=[bool, [\\\"domain\\\", [True,\",\n \"\\\"bar_stacked\\\", \\\"histogram\\\", \\\"norm_xaxis\\\", \\\"lognorm_xaxis\\\", \\\"weibull_xaxis\\\", \\\"norm_yaxis\\\", \\\"lognorm_yaxis\\\", \\\"weibull_yaxis\\\", ]: if hlines_y is not\",\n \"None] Legend would normally use the time-series names associated with the input data.\",\n \"= tsutils.common_kwds( input_ts, skiprows=skiprows, names=names, index_type=index_type, start_date=start_date, end_date=end_date, pick=columns, round_index=round_index, dropna=\\\"all\\\", source_units=source_units, target_units=target_units,\",\n \"\\\"grayscale\\\", # \\\"seaborn\\\", # \\\"seaborn-bright\\\", # \\\"seaborn-colorblind\\\", # \\\"seaborn-dark\\\", # \\\"seaborn-dark-palette\\\", # \\\"seaborn-darkgrid\\\",\",\n \"by someone with color blindness. Black, White, and Gray Styles The \\\"ieee\\\" style\",\n \") ) colors = [] markerstyles = [] linestyles = [] for st\",\n \"O | large circle | +-----------------+-------------------+ | . | dots | +-----------------+-------------------+ |\",\n \"in [\\\"kde\\\", \\\"probability_density\\\"]: ax = tsd.plot.kde( legend=legend, subplots=subplots, sharex=sharex, sharey=sharey, style=None, logx=logx, logy=logy,\",\n \"separated matplotlib style strings per time-series. Just combine codes in 'ColorMarkerLine' order, for\",\n \"2], # legend=[bool, [\\\"domain\\\", [True, False]], 1], # legend_names=[str, [\\\"pass\\\", []], 1], #\",\n \"ax.get_xlim() if hlines_xmin is None: hlines_xmin = nxlim[0] if hlines_xmax is None: hlines_xmax\",\n \"on the secondary y-axis. If a list/tuple, which time-series to plot on secondary\",\n \"a line style code. grid [optional, default is False] Whether to plot grid\",\n \"[] linestyles = [] for st in nstyle: colors.append(st[0]) if len(st) == 1:\",\n \"lognorm_xaxis is True or lognorm_yaxis is True ): warnings.warn( \\\"\\\"\\\" * * The\",\n \"type is 'scatter_matrix', this specifies the plot along the diagonal. One of 'kde'\",\n \"triangle left | +-------+----------------+ | > | triangle right | +-------+----------------+ | 1\",\n \"style strings, but you have {} time-series. \\\"\\\"\\\".format( style, len(nstyle), len(tsd.columns) ) )\",\n \"the type, for example 'filename.png' will create a PNG file. If used within\",\n \"hlines_y=None, hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\\\"-\\\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\\\"-\\\", ): r\\\"\\\"\\\"Kernel density\",\n \"of maximum x values to end each vertical line. If a list must\",\n \"is True or norm_xaxis is True or norm_yaxis is True or lognorm_xaxis is\",\n \"+-----------------+-------------------+ | ``|`` | vertical | +-----------------+-------------------+ | - | horizontal | +-----------------+-------------------+\",\n \"| HTML Color Names | +==================+ | red | +------------------+ | burlywood |\",\n \"type, for example 'filename.png' will create a PNG file. If used within Python,\",\n \"At the command line supply a comma separated matplotlib color codes, or within\",\n \"major labels for bar plots. label_skip : int [optional] Skip for major labels\",\n \"enumerate(ax.lines): if icolors is not None: c = next(icolors) else: c = None\",\n \"vertical lines. If a list must be same length as `vlines_x`. If None\",\n \"# None, # ], # hlines_y=[float, [\\\"pass\\\", []], None], # hlines_xmin=[float, [\\\"pass\\\", []],\",\n \"nothing | +---------+--------------+ | ' ' | draw nothing | +---------+--------------+ | ''\",\n \"1], # grid=[bool, [\\\"domain\\\", [True, False]], 1], # label_rotation=[float, [\\\"pass\\\", []], 1], #\",\n \"axis=yaxis) plot_styles = tsutils.make_list(plot_styles) + [\\\"no-latex\\\"] style_loc = os.path.join( os.path.dirname(__file__), os.pardir, \\\"SciencePlots_styles\\\" )\",\n \"the probability density function based on the data called kernel density estimation (KDE).\",\n \"or legend == \\\"True\\\" or legend is None) type = \\\"kde\\\" import matplotlib\",\n \"vlines_colors = tsutils.make_list(vlines_colors) vlines_linestyles = tsutils.make_list(vlines_linestyles) nylim = ax.get_ylim() if vlines_ymin is None:\",\n \"bar_hatchstyles=\\\"auto\\\", style=\\\"auto\\\", logx=False, logy=False, xaxis=\\\"arithmetic\\\", yaxis=\\\"arithmetic\\\", xlim=None, ylim=None, secondary_y=False, mark_right=True, scatter_matrix_diagonal=\\\"kde\\\", bootstrap_size=50, bootstrap_samples=500,\",\n \"| ...etc. | +------------------+ Color reference: http://matplotlib.org/api/colors_api.html linestyles [optional, default to 'auto'] If\",\n \"ylim=ylim, secondary_y=secondary_y, figsize=figsize, ) for index, line in enumerate(ax.lines): if icolors is not\",\n \"vlines_ymin = tsutils.make_list(vlines_ymin) vlines_ymax = tsutils.make_list(vlines_ymax) vlines_colors = tsutils.make_list(vlines_colors) vlines_linestyles = tsutils.make_list(vlines_linestyles) nylim\",\n \"| +-----------------+-------------------+ | ``|`` | vertical | +-----------------+-------------------+ | - | horizontal |\",\n \"API. Separated 'colors', 'linestyles', and 'markerstyles' instead of using the 'style' keyword. +-------+----------------+\",\n \"Code | Color | +======+=========+ | b | blue | +------+---------+ | g\",\n \"used as the minimum x values for all vertical lines. A missing value\",\n \"is based on range of x values] Comma separated lower and upper limits\",\n \"'style' keyword. +---------+--------------+ | Code | Lines | +=========+==============+ | ``-`` | solid\",\n \"if imarkerstyles is not None: m = next(imarkerstyles) else: m = None if\",\n \"called kernel density estimation (KDE). {ydata} Parameters ---------- {input_ts} ofilename : str [optional,\",\n \"None: markerstyles = \\\" \\\" if style != \\\"auto\\\": nstyle = tsutils.make_list(style) if\",\n \"\\\"({})\\\".format(pltfreq[beginstr:-1]) except AttributeError: short_freq = \\\"\\\" if colors == \\\"auto\\\": colors = None\",\n \"color from the current style. 2. Single character code from the table below.\",\n \"ACCEPTS:: ['default' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post'] por [optional] Plot\",\n \"'] The default ' ' will not plot a marker. If 'auto' will\",\n \"\\\"True\\\" or legend is None) type = \\\"kde\\\" import matplotlib matplotlib.use(\\\"Agg\\\") import matplotlib.pyplot\",\n \"based on the data called kernel density estimation (KDE). {ydata} Parameters ---------- {input_ts}\",\n \"instead. lognorm_xaxis DEPRECATED: use '--type=\\\"lognorm_xaxis\\\"' instead. lognorm_yaxis DEPRECATED: use '--type=\\\"lognorm_yaxis\\\"' instead. xy_match_line :\",\n \"of Matplotlib styles \\\"classic\\\", \\\"Solarize_Light2\\\", \\\"bmh\\\", \\\"dark_background\\\", \\\"fast\\\", \\\"fivethirtyeight\\\", \\\"ggplot\\\", \\\"grayscale\\\", \\\"seaborn\\\", \\\"seaborn-bright\\\",\",\n \"axis, should the legend label the axis of the various time-series automatically. scatter_matrix_diagonal\",\n \"\\\" \\\" if style != \\\"auto\\\": nstyle = tsutils.make_list(style) if len(nstyle) != len(tsd.columns):\",\n \"mark_right=True, scatter_matrix_diagonal=\\\"kde\\\", bootstrap_size=50, bootstrap_samples=500, norm_xaxis=False, norm_yaxis=False, lognorm_xaxis=False, lognorm_yaxis=False, xy_match_line=\\\"\\\", grid=False, label_rotation=None, label_skip=1, force_freq=None,\",\n \"None will take from the color pallette in the current plot style. vlines_linestyles:\",\n \"\\\"seaborn-deep\\\", # \\\"seaborn-muted\\\", # \\\"seaborn-notebook\\\", # \\\"seaborn-paper\\\", # \\\"seaborn-pastel\\\", # \\\"seaborn-poster\\\", # \\\"seaborn-talk\\\",\",\n \"vlines_ymax = nylim[1] if type in [ \\\"time\\\", \\\"xy\\\", \\\"bar\\\", \\\"bar_stacked\\\", \\\"histogram\\\", \\\"norm_xaxis\\\",\",\n \"warnings import mando import numpy as np import pandas as pd from mando.rst_text_formatter\",\n \"create a plot of estimation of the probability density function based on the\",\n \"st in nstyle: colors.append(st[0]) if len(st) == 1: markerstyles.append(\\\" \\\") linestyles.append(\\\"-\\\") continue if\",\n \"not None: plt.setp(line, color=c) plt.setp(line, marker=m) plt.setp(line, linestyle=l) ytitle = ytitle or \\\"Density\\\"\",\n \"[optional, default is 'default'] 'default' connects the points with lines. The steps variants\",\n \"ylim = plotutils.know_your_limits(ylim, axis=yaxis) plot_styles = tsutils.make_list(plot_styles) + [\\\"no-latex\\\"] style_loc = os.path.join( os.path.dirname(__file__),\",\n \"plt.setp(line, linestyle=l) ytitle = ytitle or \\\"Density\\\" if legend is True: plt.legend(loc=\\\"best\\\") if\",\n \"# \\\"seaborn-poster\\\", # \\\"seaborn-talk\\\", # \\\"seaborn-ticks\\\", # \\\"seaborn-white\\\", # \\\"seaborn-whitegrid\\\", # \\\"tableau-colorblind10\\\", #\",\n \"2], # ylim=[float, [\\\"pass\\\", []], 2], # xaxis=[str, [\\\"domain\\\", [\\\"arithmetic\\\", \\\"log\\\"]], 1], #\",\n \"defaults to 'kde'] If plot type is 'scatter_matrix', this specifies the plot along\",\n \"'arithmetic', 'log'. secondary_y [optional, default is False] Whether to plot on the secondary\",\n \"star | +-------+----------------+ | h | hexagon1 | +-------+----------------+ | H | hexagon2\",\n \"backward-compatibility. ACCEPTS:: ['default' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post'] por [optional]\",\n \"style useful for photo-copyable black, white, nd gray. Matplotlib styles: https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_reference.html SciencePlots styles:\",\n \"[\\\"domain\\\", [True, False]], 1], # label_rotation=[float, [\\\"pass\\\", []], 1], # label_skip=[int, [\\\"range\\\", [1,\",\n \"start at the minimum x value for the entire plot. vlines_ymax: [optional, defaults\",\n \"start_date=start_date, end_date=end_date, clean=clean, skiprows=skiprows, index_type=index_type, names=names, ofilename=ofilename, xtitle=xtitle, ytitle=ytitle, title=title, figsize=figsize, legend=legend, legend_names=legend_names,\",\n \"single number will be the maximum x value for all horizontal lines. A\",\n \"`hlines_y`. If a single number will be the maximum x value for all\",\n \"a red dashed line with star marker. bar_hatchstyles [optional, default to \\\"auto\\\", only\",\n \"time-series. \\\"\\\"\\\".format( style, len(nstyle), len(tsd.columns) ) ) ) colors = [] markerstyles =\",\n \"the standard linestyles list. vlines_x: [optional, defaults to None] List of x values\",\n \"hlines_colors = tsutils.make_list(hlines_colors) hlines_linestyles = tsutils.make_list(hlines_linestyles) nxlim = ax.get_xlim() if hlines_xmin is None:\",\n \"ytitle=ytitle, title=title, figsize=figsize, legend=legend, legend_names=legend_names, subplots=subplots, sharex=sharex, sharey=sharey, colors=colors, linestyles=linestyles, markerstyles=markerstyles, bar_hatchstyles=bar_hatchstyles, style=style,\",\n \"file. If used within Python, and `ofilename` is None will return the Matplotlib\",\n \"ways. 1. Use 'CN' where N is a number from 0 to 9\",\n \"if ilinestyles is not None: l = next(ilinestyles) else: l = None if\",\n \"hlines_xmax is None: hlines_xmax = nxlim[1] if vlines_x is not None: vlines_x =\",\n \"and \\\"retro\\\". If multiple styles then each over rides some or all of\",\n \"size to fit in a column of the \\\"IEEE\\\" journal. The \\\"grayscale\\\" is\",\n \"`hlines_y`. If a single number will be used as the minimum x values\",\n \"to None] List of colors for the horizontal lines. If a single color\",\n \"# \\\"scatter\\\", # \\\"notebook\\\", # \\\"high-vis\\\", # \\\"bright\\\", # \\\"vibrant\\\", # \\\"muted\\\", #\",\n \"markerstyles] if colors is not None: icolors = itertools.cycle(colors) else: icolors = None\",\n \"through matplotlib colors in the chosen style. At the command line supply a\",\n \"the \\\"ieee\\\" also will change the chart size to fit in a column\",\n \"if c is not None: plt.setp(line, color=c) plt.setp(line, marker=m) plt.setp(line, linestyle=l) ytitle =\",\n \"<filename>src/plottoolbox/functions/kde.py # -*- coding: utf-8 -*- \\\"\\\"\\\"Collection of functions for the manipulation of\",\n \"last good value. Strips NANs from beginning and end. {force_freq} invert_xaxis [optional, default\",\n \"in [\\\" \\\", None] else i for i in linestyles] markerstyles = [\\\"\",\n \"'r*--' is a red dashed line with star marker. bar_hatchstyles [optional, default to\",\n \"be used as the color for all vertical lines. If a list must\",\n \"| ``\\\\`` | back diagonal | +-----------------+-------------------+ | ``|`` | vertical | +-----------------+-------------------+\",\n \"p | pentagon | +-------+----------------+ | ``*`` | star | +-------+----------------+ | h\",\n \"[optional, defaults to '10,6.5'] The 'width,height' of plot in inches. legend [optional, defaults\",\n \"bootstrap_size=50, bootstrap_samples=500, norm_xaxis=False, norm_yaxis=False, lognorm_xaxis=False, lognorm_yaxis=False, xy_match_line=\\\"\\\", grid=False, label_rotation=None, label_skip=1, force_freq=None, drawstyle=\\\"default\\\", por=False,\",\n \"0 is white an 1 is black. 4. Any of the HTML color\",\n \"point | +-------+----------------+ | o | circle | +-------+----------------+ | v | triangle\",\n \"specifies the plot along the diagonal. One of 'kde' for Kernel Density Estimation\",\n \"[ # \\\"classic\\\", # \\\"Solarize_Light2\\\", # \\\"bmh\\\", # \\\"dark_background\\\", # \\\"fast\\\", # \\\"fivethirtyeight\\\",\",\n \"# \\\"seaborn-ticks\\\", # \\\"seaborn-white\\\", # \\\"seaborn-whitegrid\\\", # \\\"tableau-colorblind10\\\", # \\\"science\\\", # \\\"grid\\\", #\",\n \"{plotting_position_table} Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. prob_plot_sort_values :\",\n \"maximum x value for the entire plot. hlines_colors: [optional, defaults to None] List\",\n \"will cycle through matplotlib colors in the chosen style. At the command line\",\n \"( logx is True or logy is True or norm_xaxis is True or\",\n \"[optional] Plot from first good value to last good value. Strips NANs from\",\n \"character code from the table below. +------+---------+ | Code | Color | +======+=========+\",\n \"else: markerstyles.append(\\\" \\\") linestyles.append(st[1:]) if linestyles is None: linestyles = [\\\" \\\"] else:\",\n \"True if yaxis == \\\"log\\\": logy = True xlim = plotutils.know_your_limits(xlim, axis=xaxis) ylim\",\n \"None) type = \\\"kde\\\" import matplotlib matplotlib.use(\\\"Agg\\\") import matplotlib.pyplot as plt from matplotlib.ticker\",\n \"to 9 that gets the Nth color from the current style. 2. Single\",\n \"\\\"muted\\\" are all styles that are setup to be able to be distinguished\",\n \"'linestyles', and 'markerstyles' options. Currently the 'style' option will override the others. Comma\",\n \"lines. A missing value or None will end at the maximum x value\",\n \"is replaced by 'colors', 'linestyles', and 'markerstyles' options. Currently the 'style' option will\",\n \"be the maximum x value for all vertical lines. A missing value or\",\n \"defaults with the implementation of # mando legend = bool(legend == \\\"\\\" or\",\n \"* For --logy use --yaxis=\\\"log\\\" * For --norm_xaxis use --type=\\\"norm_xaxis\\\" * For --norm_yaxis\",\n \"secondary y-axis. If a list/tuple, which time-series to plot on secondary y-axis. mark_right\",\n \"# \\\"seaborn-pastel\\\", # \\\"seaborn-poster\\\", # \\\"seaborn-talk\\\", # \\\"seaborn-ticks\\\", # \\\"seaborn-white\\\", # \\\"seaborn-whitegrid\\\", #\",\n \"must be same length as `vlines_x`. If None will take from the color\",\n \"linestyles.append(st[1:]) if linestyles is None: linestyles = [\\\" \\\"] else: linestyles = [\\\"\",\n \"over rides some or all of the characteristics of the previous. Color Blind\",\n \"| +==================+ | red | +------------------+ | burlywood | +------------------+ | chartreuse |\",\n \"\\\"seaborn-bright\\\", \\\"seaborn-colorblind\\\", \\\"seaborn-dark\\\", \\\"seaborn-dark-palette\\\", \\\"seaborn-darkgrid\\\", \\\"seaborn-deep\\\", \\\"seaborn-muted\\\", \\\"seaborn-notebook\\\", \\\"seaborn-paper\\\", \\\"seaborn-pastel\\\", \\\"seaborn-poster\\\", \\\"seaborn-talk\\\", \\\"seaborn-ticks\\\",\",\n \"# vlines_x=[float, [\\\"pass\\\", []], None], # vlines_ymin=[float, [\\\"pass\\\", []], None], # vlines_ymax=[float, [\\\"pass\\\",\",\n \"\\\"bar\\\", \\\"bar_stacked\\\", \\\"histogram\\\", \\\"norm_xaxis\\\", \\\"lognorm_xaxis\\\", \\\"weibull_xaxis\\\", \\\"norm_yaxis\\\", \\\"lognorm_yaxis\\\", \\\"weibull_yaxis\\\", ]: if hlines_y is\",\n \"[optional, default is based on range of y values] Comma separated lower and\",\n \"type in [\\\"norm_xaxis\\\", \\\"lognorm_xaxis\\\", \\\"weibull_xaxis\\\"]: vlines_x = ppf(tsutils.make_list(vlines_x)) plt.vlines( vlines_x, vlines_ymin, vlines_ymax, colors=vlines_colors,\",\n \"legend_names=[str, [\\\"pass\\\", []], 1], # subplots=[bool, [\\\"domain\\\", [True, False]], 1], # sharex=[bool, [\\\"domain\\\",\",\n \"If a list must be same length as `vlines_x`. If None will take\",\n \"= True if yaxis == \\\"log\\\": logy = True xlim = plotutils.know_your_limits(xlim, axis=xaxis)\",\n \"in inches. legend [optional, defaults to True] Whether to display the legend. legend_names\",\n \"'auto' will cycle through matplotlib colors in the chosen style. At the command\",\n \"examples. xaxis : str [optional, default is 'arithmetic'] Defines the type of the\",\n \"| x | x | +-------+----------------+ | D | diamond | +-------+----------------+ |\",\n \"Use 'CN' where N is a number from 0 to 9 that gets\",\n \"the random subset for 'bootstrap' plot. bootstrap_samples [optional, defaults to 500] The number\",\n \"and is maintained for backward-compatibility. ACCEPTS:: ['default' | 'steps' | 'steps-pre' | 'steps-mid'\",\n \"nothing | +---------+--------------+ Line reference: http://matplotlib.org/api/artist_api.html markerstyles [optional, default to ' '] The\",\n \"plotutils.HATCH_LIST else: bar_hatchstyles = tsutils.make_list(bar_hatchstyles) if markerstyles == \\\"auto\\\": markerstyles = plotutils.MARKER_LIST else:\",\n \"tsutils.make_list(vlines_ymin) vlines_ymax = tsutils.make_list(vlines_ymax) vlines_colors = tsutils.make_list(vlines_colors) vlines_linestyles = tsutils.make_list(vlines_linestyles) nylim = ax.get_ylim()\",\n \"start at the minimum x value for the entire plot. hlines_xmax: [optional, defaults\",\n \"\\\"kde\\\" import matplotlib matplotlib.use(\\\"Agg\\\") import matplotlib.pyplot as plt from matplotlib.ticker import FixedLocator tsd\",\n \"= nxlim[1] if vlines_x is not None: vlines_x = tsutils.make_list(vlines_x) vlines_ymin = tsutils.make_list(vlines_ymin)\",\n \"share x axis. sharey [optional, default to False] In case subplots=True, share y\",\n \"[\\\"pass\\\", []], 2], # ylim=[float, [\\\"pass\\\", []], 2], # xaxis=[str, [\\\"domain\\\", [\\\"arithmetic\\\", \\\"log\\\"]],\",\n \"[optional, default to \\\"auto\\\", only used if type equal to \\\"bar\\\", \\\"barh\\\", \\\"bar_stacked\\\",\",\n \"minimum y values to start the vertical line. If a list must be\",\n \"\\\"fast\\\", # \\\"fivethirtyeight\\\", # \\\"ggplot\\\", # \\\"grayscale\\\", # \\\"seaborn\\\", # \\\"seaborn-bright\\\", # \\\"seaborn-colorblind\\\",\",\n \"len(nstyle), len(tsd.columns) ) ) ) colors = [] markerstyles = [] linestyles =\",\n \"to display the legend. legend_names : str [optional, defaults to None] Legend would\",\n \"x value for the entire plot. vlines_colors: [optional, defaults to None] List of\",\n \"the current style. 2. Single character code from the table below. +------+---------+ |\",\n \"itertools.cycle(bar_hatchstyles) if ( logx is True or logy is True or norm_xaxis is\",\n \"1], # secondary_y=[bool, [\\\"domain\\\", [True, False]], 1], # mark_right=[bool, [\\\"domain\\\", [True, False]], 1],\",\n \"xy_match_line=[str, [\\\"pass\\\", []], 1], # grid=[bool, [\\\"domain\\\", [True, False]], 1], # label_rotation=[float, [\\\"pass\\\",\",\n \"# \\\"ieee\\\", # \\\"scatter\\\", # \\\"notebook\\\", # \\\"high-vis\\\", # \\\"bright\\\", # \\\"vibrant\\\", #\",\n \"default to ' '] The default ' ' will not plot a marker.\",\n \"markerstyles = tsutils.make_list(markerstyles) if markerstyles is None: markerstyles = \\\" \\\" if style\",\n \"sharex=sharex, sharey=sharey, colors=colors, linestyles=linestyles, markerstyles=markerstyles, bar_hatchstyles=bar_hatchstyles, style=style, logx=logx, logy=logy, xaxis=xaxis, yaxis=yaxis, xlim=xlim, ylim=ylim,\",\n \"and 1 that represents the level of gray, where 0 is white an\",\n \"plot. Extension defines the type, for example 'filename.png' will create a PNG file.\",\n \"then will be used as the color for all vertical lines. If a\",\n \"\\\"seaborn-notebook\\\", # \\\"seaborn-paper\\\", # \\\"seaborn-pastel\\\", # \\\"seaborn-poster\\\", # \\\"seaborn-talk\\\", # \\\"seaborn-ticks\\\", # \\\"seaborn-white\\\",\",\n \"if os.path.exists(os.path.join(style_loc, i + \\\".mplstyle\\\")) else i for i in plot_styles ] plt.style.use(plot_styles)\",\n \"subplots=[bool, [\\\"domain\\\", [True, False]], 1], # sharex=[bool, [\\\"domain\\\", [True, False]], 1], # sharey=[bool,\",\n \"# None, # ], # vlines_x=[float, [\\\"pass\\\", []], None], # vlines_ymin=[float, [\\\"pass\\\", []],\",\n \"in the current plot style. vlines_linestyles: [optional, defaults to None] List of linestyles\",\n \"\\\"Solarize_Light2\\\", # \\\"bmh\\\", # \\\"dark_background\\\", # \\\"fast\\\", # \\\"fivethirtyeight\\\", # \\\"ggplot\\\", # \\\"grayscale\\\",\",\n \"[\\\"pass\\\", []], None], # hlines_colors=[str, [\\\"pass\\\", []], None], # hlines_linestyles=[ # str, #\",\n \"[]], None], # hlines_linestyles=[ # str, # [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\",\",\n \"if type in [ \\\"time\\\", \\\"xy\\\", \\\"bar\\\", \\\"bar_stacked\\\", \\\"histogram\\\", \\\"norm_xaxis\\\", \\\"lognorm_xaxis\\\", \\\"weibull_xaxis\\\", \\\"norm_yaxis\\\",\",\n \"start_date=None, end_date=None, clean=False, skiprows=None, index_type=\\\"datetime\\\", names=None, ofilename=\\\"plot.png\\\", xtitle=\\\"\\\", ytitle=\\\"\\\", title=\\\"\\\", figsize=\\\"10,6.0\\\", legend=None, legend_names=None,\",\n \"1 if pltfreq == \\\"none\\\": short_freq = \\\"\\\" else: # short freq string\",\n \"# vlines_ymax=[float, [\\\"pass\\\", []], None], # vlines_colors=[str, [\\\"pass\\\", []], None], # vlines_linestyles=[ #\",\n \"\\\"barh\\\", \\\"bar_stacked\\\", and \\\"barh_stacked\\\"] If 'auto' will iterate through the available matplotlib hatch\",\n \"= plt.subplots(figsize=figsize) if type in [\\\"kde\\\", \\\"probability_density\\\"]: ax = tsd.plot.kde( legend=legend, subplots=subplots, sharex=sharex,\",\n \"| +---------+--------------+ | None | draw nothing | +---------+--------------+ | ' ' |\",\n \"the legend. legend_names : str [optional, defaults to None] Legend would normally use\",\n \"[optional] Rotation for major labels for bar plots. label_skip : int [optional] Skip\",\n \"take for the standard linestyles list. \\\"\\\"\\\" plt = kde( input_ts=input_ts, columns=columns, start_date=start_date,\",\n \"if type in [\\\"norm_xaxis\\\", \\\"lognorm_xaxis\\\", \\\"weibull_xaxis\\\"]: vlines_x = ppf(tsutils.make_list(vlines_x)) plt.vlines( vlines_x, vlines_ymin, vlines_ymax,\",\n \"# [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.LINE_LIST], # None,\",\n \"length as `hlines_y`. If None will take for the standard linestyles list. vlines_x:\",\n \"\\\" \\\"] + plotutils.LINE_LIST], # None, # ], # vlines_x=[float, [\\\"pass\\\", []], None],\",\n \"linestyle for all vertical lines. If a list must be same length as\",\n \"pandas as pd from mando.rst_text_formatter import RSTHelpFormatter from tstoolbox import tsutils from ..\",\n \"default to 1] The lag used if ``type`` \\\"lag_plot\\\" is chosen. xtitle :\",\n \"\\\"log\\\": logx = True if yaxis == \\\"log\\\": logy = True xlim =\",\n \"== \\\"log\\\": logy = True xlim = plotutils.know_your_limits(xlim, axis=xaxis) ylim = plotutils.know_your_limits(ylim, axis=yaxis)\",\n \"| / | diagonal hatching | +-----------------+-------------------+ | ``\\\\`` | back diagonal |\",\n \"defaults to None] List of minimum y values to start the vertical line.\",\n \"markerstyles = plotutils.MARKER_LIST else: markerstyles = tsutils.make_list(markerstyles) if markerstyles is None: markerstyles =\",\n \"import RSTHelpFormatter from tstoolbox import tsutils from .. import plotutils warnings.filterwarnings(\\\"ignore\\\") @mando.command(\\\"kde\\\", formatter_class=RSTHelpFormatter,\",\n \"a list must be same length as `vlines_x`. If None will take from\",\n \"else: icolors = None imarkerstyles = itertools.cycle(markerstyles) ilinestyles = itertools.cycle(linestyles) # Only for\",\n \"start_date=start_date, end_date=end_date, pick=columns, round_index=round_index, dropna=\\\"all\\\", source_units=source_units, target_units=target_units, clean=clean, por=por, ) tsd, lnames =\",\n \"if vlines_x is not None: if type in [\\\"norm_xaxis\\\", \\\"lognorm_xaxis\\\", \\\"weibull_xaxis\\\"]: vlines_x =\",\n \"None will start at the minimum x value for the entire plot. hlines_xmax:\",\n \": str [optional, defaults to '10,6.5'] The 'width,height' of plot in inches. legend\",\n \"/ | diagonal hatching | +-----------------+-------------------+ | ``\\\\`` | back diagonal | +-----------------+-------------------+\",\n \"How to sort the values for the probability plots. Only used for norm_xaxis,\",\n \"\\\"seaborn-white\\\", \\\"seaborn-whitegrid\\\", \\\"tableau-colorblind10\\\", and SciencePlots styles \\\"science\\\", \\\"grid\\\", \\\"ieee\\\", \\\"scatter\\\", \\\"notebook\\\", \\\"high-vis\\\", \\\"bright\\\",\",\n \"x values to end each vertical line. If a list must be same\",\n \"[True, False]], 1], # colors=[str, [\\\"pass\\\", []], None], # linestyles=[str, [\\\"domain\\\", [\\\"auto\\\", None,\",\n \"\\\"probability_density\\\"]: ax = tsd.plot.kde( legend=legend, subplots=subplots, sharex=sharex, sharey=sharey, style=None, logx=logx, logy=logy, xlim=xlim, ylim=ylim,\",\n \"o | circle | +-------+----------------+ | v | triangle down | +-------+----------------+ |\",\n \"\\\"dark_background\\\", # \\\"fast\\\", # \\\"fivethirtyeight\\\", # \\\"ggplot\\\", # \\\"grayscale\\\", # \\\"seaborn\\\", # \\\"seaborn-bright\\\",\",\n \"| nothing | +-------+----------------+ | '' | nothing | +-------+----------------+ Marker reference: http://matplotlib.org/api/markers_api.html\",\n \"| +---------+--------------+ Line reference: http://matplotlib.org/api/artist_api.html markerstyles [optional, default to ' '] The default\",\n \"For --logx use --xaxis=\\\"log\\\" * For --logy use --yaxis=\\\"log\\\" * For --norm_xaxis use\",\n \"\\\"time\\\", \\\"xy\\\", \\\"bar\\\", \\\"bar_stacked\\\", \\\"histogram\\\", \\\"norm_xaxis\\\", \\\"lognorm_xaxis\\\", \\\"weibull_xaxis\\\", \\\"norm_yaxis\\\", \\\"lognorm_yaxis\\\", \\\"weibull_yaxis\\\", ]: if\",\n \"is 'weibull'] {plotting_position_table} Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis.\",\n \"style=None, logx=logx, logy=logy, xlim=xlim, ylim=ylim, secondary_y=secondary_y, figsize=figsize, ) for index, line in enumerate(ax.lines):\",\n \"legend=None, legend_names=None, subplots=False, sharex=True, sharey=False, colors=\\\"auto\\\", linestyles=\\\"auto\\\", markerstyles=\\\" \\\", bar_hatchstyles=\\\"auto\\\", style=\\\"auto\\\", logx=False, logy=False,\",\n \"of using the 'style' keyword. +---------+--------------+ | Code | Lines | +=========+==============+ |\",\n \"value for all horizontal lines. A missing value or None will end at\",\n \"\\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.MARKER_LIST], None], # bar_hatchstyles=[str, [\\\"domain\\\", [\\\"auto\\\", None,\",\n \"length as `hlines_y`. If a single number will be used as the minimum\",\n \"[]], None], # vlines_linestyles=[ # str, # [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\",\",\n \"xy_match_line=\\\"\\\", grid=False, label_rotation=None, label_skip=1, force_freq=None, drawstyle=\\\"default\\\", por=False, invert_xaxis=False, invert_yaxis=False, round_index=None, plotting_position=\\\"weibull\\\", prob_plot_sort_values=\\\"descending\\\", source_units=None,\",\n \"plot style. vlines_linestyles: [optional, defaults to None] List of linestyles for the vertical\",\n \"i in markerstyles] if colors is not None: icolors = itertools.cycle(colors) else: icolors\",\n \"subplots [optional, defaults to False] Make separate subplots for each time series. sharex\",\n \"nd gray. Matplotlib styles: https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_reference.html SciencePlots styles: https://github.com/garrettj403/SciencePlots hlines_y: [optional, defaults to None]\",\n \"| pentagon | +-------+----------------+ | ``*`` | star | +-------+----------------+ | h |\",\n \"\\\" \\\"] + plotutils.HATCH_LIST], None], # style=[str, [\\\"pass\\\", []], None], # xlim=[float, [\\\"pass\\\",\",\n \"of 'arithmetic', 'log'. yaxis : str [optional, default is 'arithmetic'] Defines the type\",\n \"str [optional, default is 'descending'] How to sort the values for the probability\",\n \"plotutils.LINE_LIST], None], # markerstyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"] +\",\n \"= [] for st in nstyle: colors.append(st[0]) if len(st) == 1: markerstyles.append(\\\" \\\")\",\n \"or norm_xaxis is True or norm_yaxis is True or lognorm_xaxis is True or\",\n \"combine codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed line\",\n \"imarkerstyles is not None: m = next(imarkerstyles) else: m = None if ilinestyles\",\n \"2 | tri_up | +-------+----------------+ | 3 | tri_left | +-------+----------------+ | 4\",\n \"the color for all vertical lines. If a list must be same length\",\n \") tsd, lnames = plotutils.check(type, tsd, legend_names) # This is to help pretty\",\n \"+------+---------+ | Code | Color | +======+=========+ | b | blue | +------+---------+\",\n \"{names} {source_units} {target_units} {round_index} plot_styles: str [optional, default is \\\"default\\\"] Set the style\",\n \"invert_xaxis=invert_xaxis, invert_yaxis=invert_yaxis, round_index=round_index, plotting_position=plotting_position, prob_plot_sort_values=prob_plot_sort_values, source_units=source_units, target_units=target_units, lag_plot_lag=lag_plot_lag, plot_styles=plot_styles, hlines_y=hlines_y, hlines_xmin=hlines_xmin, hlines_xmax=hlines_xmax, hlines_colors=hlines_colors,\",\n \"[\\\"pass\\\", []], 1], # grid=[bool, [\\\"domain\\\", [True, False]], 1], # label_rotation=[float, [\\\"pass\\\", []],\",\n \"# \\\"seaborn-white\\\", # \\\"seaborn-whitegrid\\\", # \\\"tableau-colorblind10\\\", # \\\"science\\\", # \\\"grid\\\", # \\\"ieee\\\", #\",\n \"= itertools.cycle(markerstyles) ilinestyles = itertools.cycle(linestyles) # Only for bar, barh, bar_stacked, and barh_stacked.\",\n \"and Gray Styles The \\\"ieee\\\" style is appropriate for black, white, and gray,\",\n \"will start at the minimum x value for the entire plot. vlines_ymax: [optional,\",\n \"False]], 1], # invert_yaxis=[bool, [\\\"domain\\\", [True, False]], 1], # plotting_position=[ # str, #\",\n \"is None: linestyles = [\\\" \\\"] else: linestyles = [\\\" \\\" if i\",\n \"''] Will add a match line where x == y. Set to a\",\n \"red dashed line with star marker. bar_hatchstyles [optional, default to \\\"auto\\\", only used\",\n \"1], # por=[bool, [\\\"domain\\\", [True, False]], 1], # invert_xaxis=[bool, [\\\"domain\\\", [True, False]], 1],\",\n \"# 1, # ], # prob_plot_sort_values=[str, [\\\"domain\\\", [\\\"ascending\\\", \\\"descending\\\"]], 1], # plot_styles=[ #\",\n \"xtitle : str [optional, default depends on ``type``] Title of x-axis. ytitle :\",\n \"horizontal line. If a list must be same length as `hlines_y`. If a\",\n \"\\\"ieee\\\" style is appropriate for black, white, and gray, however the \\\"ieee\\\" also\",\n \"change the chart size to fit in a column of the \\\"IEEE\\\" journal.\",\n \"\\\"\\\"\\\" ) if xaxis == \\\"log\\\": logx = True if yaxis == \\\"log\\\":\",\n \"the level of gray, where 0 is white an 1 is black. 4.\",\n \"Set the style of the plot. One or more of Matplotlib styles \\\"classic\\\",\",\n \"linestyles = [] for st in nstyle: colors.append(st[0]) if len(st) == 1: markerstyles.append(\\\"\",\n \"str [optional, defaults to 'plot.png'] Output filename for the plot. Extension defines the\",\n \"matplotlib matplotlib.use(\\\"Agg\\\") import matplotlib.pyplot as plt from matplotlib.ticker import FixedLocator tsd = tsutils.common_kwds(\",\n \"[ # \\\"domain\\\", # [ # \\\"classic\\\", # \\\"Solarize_Light2\\\", # \\\"bmh\\\", # \\\"dark_background\\\",\",\n \"Code | Lines | +=========+==============+ | ``-`` | solid | +---------+--------------+ | --\",\n \"| +-------+----------------+ | h | hexagon1 | +-------+----------------+ | H | hexagon2 |\",\n \"\\\"log\\\"]], 1], # secondary_y=[bool, [\\\"domain\\\", [True, False]], 1], # mark_right=[bool, [\\\"domain\\\", [True, False]],\",\n \"One of 'arithmetic', 'log'. yaxis : str [optional, default is 'arithmetic'] Defines the\",\n \"`xlim` for examples. xaxis : str [optional, default is 'arithmetic'] Defines the type\",\n \"\\\"seaborn-muted\\\", # \\\"seaborn-notebook\\\", # \\\"seaborn-paper\\\", # \\\"seaborn-pastel\\\", # \\\"seaborn-poster\\\", # \\\"seaborn-talk\\\", # \\\"seaborn-ticks\\\",\",\n \"List of colors for the vertical lines. If a single color then will\",\n \"maintained for backward-compatibility. ACCEPTS:: ['default' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post']\",\n \"as the minimum x values for all vertical lines. A missing value or\",\n \"[\\\"no-latex\\\"] style_loc = os.path.join( os.path.dirname(__file__), os.pardir, \\\"SciencePlots_styles\\\" ) plot_styles = [ os.path.join(style_loc, i\",\n \"time-series to plot. You supplied '{}' for style which has {} style strings,\",\n \"= kde( input_ts=input_ts, columns=columns, start_date=start_date, end_date=end_date, clean=clean, skiprows=skiprows, index_type=index_type, names=names, ofilename=ofilename, xtitle=xtitle, ytitle=ytitle,\",\n \"plt.subplots(figsize=figsize) if type in [\\\"kde\\\", \\\"probability_density\\\"]: ax = tsd.plot.kde( legend=legend, subplots=subplots, sharex=sharex, sharey=sharey,\",\n \"in the data set. subplots [optional, defaults to False] Make separate subplots for\",\n \"'auto' will iterate through the available matplotlib hatch types. Otherwise on the command\",\n \"+-------+----------------+ | < | triangle left | +-------+----------------+ | > | triangle right\",\n \"lines. If a list must be same length as `hlines_y`. If None will\",\n \"of time series.\\\"\\\"\\\" from __future__ import absolute_import, division, print_function import itertools import os\",\n \"\\\"seaborn-paper\\\", \\\"seaborn-pastel\\\", \\\"seaborn-poster\\\", \\\"seaborn-talk\\\", \\\"seaborn-ticks\\\", \\\"seaborn-white\\\", \\\"seaborn-whitegrid\\\", \\\"tableau-colorblind10\\\", and SciencePlots styles \\\"science\\\", \\\"grid\\\",\",\n \"axis=xaxis) ylim = plotutils.know_your_limits(ylim, axis=yaxis) plot_styles = tsutils.make_list(plot_styles) + [\\\"no-latex\\\"] style_loc = os.path.join(\",\n \"= [ os.path.join(style_loc, i + \\\".mplstyle\\\") if os.path.exists(os.path.join(style_loc, i + \\\".mplstyle\\\")) else i\",\n \"to 'auto'] If 'auto' will iterate through the available matplotlib line types. Otherwise\",\n \"= tsutils.make_list(plot_styles) + [\\\"no-latex\\\"] style_loc = os.path.join( os.path.dirname(__file__), os.pardir, \\\"SciencePlots_styles\\\" ) plot_styles =\",\n \"tsutils.make_list(colors) if linestyles == \\\"auto\\\": linestyles = plotutils.LINE_LIST else: linestyles = tsutils.make_list(linestyles) if\",\n \"lines use a space (' ') as the linestyle code. Separated 'colors', 'linestyles',\",\n \"crossed diagonal | +-----------------+-------------------+ | o | small circle | +-----------------+-------------------+ | O\",\n \"and upper limits for the x-axis of the plot. For example, '--xlim 1,1000'\",\n \"label_skip=[int, [\\\"range\\\", [1, None]], 1], # drawstyle=[str, [\\\"pass\\\", []], 1], # por=[bool, [\\\"domain\\\",\",\n \"next(imarkerstyles) else: m = None if ilinestyles is not None: l = next(ilinestyles)\",\n \"Just combine codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed\",\n \"+-------+----------------+ | ``*`` | star | +-------+----------------+ | h | hexagon1 | +-------+----------------+\",\n \"| vertical | +-----------------+-------------------+ | - | horizontal | +-----------------+-------------------+ | + |\",\n \"the minimum x value for the entire plot. hlines_xmax: [optional, defaults to None]\",\n \"nothing | +-------+----------------+ Marker reference: http://matplotlib.org/api/markers_api.html style [optional, default is None] Still available,\",\n \"True: plt.gca().invert_yaxis() plt.grid(grid) plt.title(title) plt.tight_layout() if ofilename is not None: plt.savefig(ofilename) return plt\",\n \"1,], # lag_plot_lag=[int, [\\\"range\\\", [1, None]], 1], # xtitle=[str, [\\\"pass\\\", []], 1], #\",\n \"# str, # [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.LINE_LIST],\",\n \"all horizontal lines. If a list must be same length as `hlines_y`. If\",\n \"Whether to plot on the secondary y-axis. If a list/tuple, which time-series to\",\n \"gets the Nth color from the current style. 2. Single character code from\",\n \"+-------+----------------+ | s | square | +-------+----------------+ | p | pentagon | +-------+----------------+\",\n \"the minimum x values for all horizontal lines. A missing value or None\",\n \"None, \\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.LINE_LIST], None], # markerstyles=[str, [\\\"domain\\\", [\\\"auto\\\",\",\n \"None], # vlines_ymin=[float, [\\\"pass\\\", []], None], # vlines_ymax=[float, [\\\"pass\\\", []], None], # vlines_colors=[str,\",\n \"where to place a horizontal line. hlines_xmin: [optional, defaults to None] List of\",\n \"[\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.LINE_LIST], # None, #\",\n \"will take for the standard linestyles list. vlines_x: [optional, defaults to None] List\",\n \"of 'arithmetic', 'log'. secondary_y [optional, default is False] Whether to plot on the\",\n \"figure that can then be changed or added to as needed. lag_plot_lag [optional,\",\n \": str [optional, default is 'descending'] How to sort the values for the\",\n \"must be same length as `hlines_y`. If a single number will be the\",\n \"secondary_y=secondary_y, mark_right=mark_right, scatter_matrix_diagonal=scatter_matrix_diagonal, bootstrap_size=bootstrap_size, bootstrap_samples=bootstrap_samples, norm_xaxis=norm_xaxis, norm_yaxis=norm_yaxis, lognorm_xaxis=lognorm_xaxis, lognorm_yaxis=lognorm_yaxis, xy_match_line=xy_match_line, grid=grid, label_rotation=label_rotation, label_skip=label_skip,\",\n \"\\\"notebook\\\", # \\\"high-vis\\\", # \\\"bright\\\", # \\\"vibrant\\\", # \\\"muted\\\", # \\\"retro\\\", # ],\",\n \"distinguished by someone with color blindness. Black, White, and Gray Styles The \\\"ieee\\\"\",\n \"None will end at the maximum x value for the entire plot. hlines_colors:\",\n \"default to True] In case subplots=True, share x axis. sharey [optional, default to\",\n \"axis of the various time-series automatically. scatter_matrix_diagonal : str [optional, defaults to 'kde']\",\n \"@mando.command(\\\"kde\\\", formatter_class=RSTHelpFormatter, doctype=\\\"numpy\\\") @tsutils.doc(plotutils.ldocstrings) def kde_cli( input_ts=\\\"-\\\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\\\"datetime\\\",\",\n \"would base the lower limit on the data and set the upper limit\",\n \"norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. prob_plot_sort_values : str [optional, default is 'descending']\",\n \"+-----------------+-------------------+ | O | large circle | +-----------------+-------------------+ | . | dots |\",\n \"lognorm_yaxis DEPRECATED: use '--type=\\\"lognorm_yaxis\\\"' instead. xy_match_line : str [optional, defaults is ''] Will\",\n \"of strings if using the Python API. Separated 'colors', 'linestyles', and 'markerstyles' instead\",\n \"\\\" \\\"] + plotutils.LINE_LIST], None], # markerstyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\",\",\n \"'plot.png'] Output filename for the plot. Extension defines the type, for example 'filename.png'\",\n \"vlines_ymin = nylim[0] if vlines_ymax is None: vlines_ymax = nylim[1] if type in\",\n \"y-axis. If a list/tuple, which time-series to plot on secondary y-axis. mark_right [optional,\",\n \"values for all vertical lines. A missing value or None will start at\",\n \"override the others. Comma separated matplotlib style strings per time-series. Just combine codes\",\n \"| Code | Lines | +=========+==============+ | ``-`` | solid | +---------+--------------+ |\",\n \"If 'auto' will iterate through the available matplotlib hatch types. Otherwise on the\",\n \"ylim=None, secondary_y=False, mark_right=True, scatter_matrix_diagonal=\\\"kde\\\", bootstrap_size=50, bootstrap_samples=500, norm_xaxis=False, norm_yaxis=False, lognorm_xaxis=False, lognorm_yaxis=False, xy_match_line=\\\"\\\", grid=False, label_rotation=None,\",\n \"defaults is ''] Will add a match line where x == y. Set\",\n \"where to place a vertical line. vlines_ymin: [optional, defaults to None] List of\",\n \"{round_index} plot_styles: str [optional, default is \\\"default\\\"] Set the style of the plot.\",\n \"names=names, index_type=index_type, start_date=start_date, end_date=end_date, pick=columns, round_index=round_index, dropna=\\\"all\\\", source_units=source_units, target_units=target_units, clean=clean, por=por, ) tsd,\",\n \"\\\"fivethirtyeight\\\", # \\\"ggplot\\\", # \\\"grayscale\\\", # \\\"seaborn\\\", # \\\"seaborn-bright\\\", # \\\"seaborn-colorblind\\\", # \\\"seaborn-dark\\\",\",\n \"None: m = next(imarkerstyles) else: m = None if ilinestyles is not None:\",\n \"default depends on ``type``] Title of x-axis. ytitle : str [optional, default depends\",\n \"\\\"grayscale\\\", \\\"seaborn\\\", \\\"seaborn-bright\\\", \\\"seaborn-colorblind\\\", \\\"seaborn-dark\\\", \\\"seaborn-dark-palette\\\", \\\"seaborn-darkgrid\\\", \\\"seaborn-deep\\\", \\\"seaborn-muted\\\", \\\"seaborn-notebook\\\", \\\"seaborn-paper\\\", \\\"seaborn-pastel\\\", \\\"seaborn-poster\\\",\",\n \"linestyles for the horizontal lines. If a single linestyle then will be used\",\n \"plot_styles: str [optional, default is \\\"default\\\"] Set the style of the plot. One\",\n \"style=style, logx=logx, logy=logy, xaxis=xaxis, yaxis=yaxis, xlim=xlim, ylim=ylim, secondary_y=secondary_y, mark_right=mark_right, scatter_matrix_diagonal=scatter_matrix_diagonal, bootstrap_size=bootstrap_size, bootstrap_samples=bootstrap_samples, norm_xaxis=norm_xaxis,\",\n \"will not plot a marker. If 'auto' will iterate through the available matplotlib\",\n \"for the vertical lines. If a single color then will be used as\",\n \"+---------+--------------+ | ' ' | draw nothing | +---------+--------------+ | '' | draw\",\n \"list must be same length as `hlines_y`. If a single number will be\",\n \"A missing value or None will start at the minimum x value for\",\n \"None: plt.setp(line, color=c) plt.setp(line, marker=m) plt.setp(line, linestyle=l) ytitle = ytitle or \\\"Density\\\" if\",\n \"\\\"histogram\\\", \\\"norm_xaxis\\\", \\\"lognorm_xaxis\\\", \\\"weibull_xaxis\\\", \\\"norm_yaxis\\\", \\\"lognorm_yaxis\\\", \\\"weibull_yaxis\\\", ]: if hlines_y is not None:\",\n \"each over rides some or all of the characteristics of the previous. Color\",\n \"if i in [\\\" \\\", None] else i for i in linestyles] markerstyles\",\n \"codes, or within Python a list of color code strings. Can identify colors\",\n \"For --norm_yaxis use --type=\\\"norm_yaxis\\\" * For --lognorm_xaxis use --type=\\\"lognorm_xaxis\\\" * For --lognorm_yaxis use\",\n \"ytitle=[str, [\\\"pass\\\", []], 1], # title=[str, [\\\"pass\\\", []], 1], # figsize=[float, [\\\"range\\\", [0,\",\n \"i + \\\".mplstyle\\\") if os.path.exists(os.path.join(style_loc, i + \\\".mplstyle\\\")) else i for i in\",\n \"None], # hlines_linestyles=[ # str, # [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\"\",\n \"functions for the manipulation of time series.\\\"\\\"\\\" from __future__ import absolute_import, division, print_function\",\n \"\\\"seaborn-ticks\\\", \\\"seaborn-white\\\", \\\"seaborn-whitegrid\\\", \\\"tableau-colorblind10\\\", and SciencePlots styles \\\"science\\\", \\\"grid\\\", \\\"ieee\\\", \\\"scatter\\\", \\\"notebook\\\", \\\"high-vis\\\",\",\n \"prob_plot_sort_values=\\\"descending\\\", source_units=None, target_units=None, lag_plot_lag=1, plot_styles=\\\"bright\\\", hlines_y=None, hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\\\"-\\\", vlines_x=None, vlines_ymin=None, vlines_ymax=None,\",\n \"for a histogram. bootstrap_size : int [optional, defaults to 50] The size of\",\n \"plot_styles=\\\"bright\\\", hlines_y=None, hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\\\"-\\\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\\\"-\\\", ): r\\\"\\\"\\\"Kernel\",\n \"not display lines use a space (' ') as the linestyle code. Separated\",\n \"for major labels for bar plots. label_skip : int [optional] Skip for major\",\n \"http://matplotlib.org/api/colors_api.html linestyles [optional, default to 'auto'] If 'auto' will iterate through the available\",\n \"def kde( input_ts=\\\"-\\\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\\\"datetime\\\", names=None, ofilename=\\\"plot.png\\\", xtitle=\\\"\\\", ytitle=\\\"\\\",\",\n \"1 to 1000, where '--xlim ,1000' would base the lower limit on the\",\n \"[]], None], # hlines_colors=[str, [\\\"pass\\\", []], None], # hlines_linestyles=[ # str, # [\\\"domain\\\",\",\n \") # @tsutils.validator( # ofilename=[str, [\\\"pass\\\", []], 1], # type=[str, [\\\"domain\\\", [\\\"kde\\\",],], 1,],\",\n \"True: plt.legend(loc=\\\"best\\\") if hlines_y is not None: hlines_y = tsutils.make_list(hlines_y) hlines_xmin = tsutils.make_list(hlines_xmin)\",\n \"# grid=[bool, [\\\"domain\\\", [True, False]], 1], # label_rotation=[float, [\\\"pass\\\", []], 1], # label_skip=[int,\",\n \"index, line in enumerate(ax.lines): if icolors is not None: c = next(icolors) else:\",\n \"1], # label_skip=[int, [\\\"range\\\", [1, None]], 1], # drawstyle=[str, [\\\"pass\\\", []], 1], #\",\n \"\\\"seaborn\\\", \\\"seaborn-bright\\\", \\\"seaborn-colorblind\\\", \\\"seaborn-dark\\\", \\\"seaborn-dark-palette\\\", \\\"seaborn-darkgrid\\\", \\\"seaborn-deep\\\", \\\"seaborn-muted\\\", \\\"seaborn-notebook\\\", \\\"seaborn-paper\\\", \\\"seaborn-pastel\\\", \\\"seaborn-poster\\\", \\\"seaborn-talk\\\",\",\n \"{source_units} {target_units} {round_index} plot_styles: str [optional, default is \\\"default\\\"] Set the style of\",\n \"# \\\"ggplot\\\", # \\\"grayscale\\\", # \\\"seaborn\\\", # \\\"seaborn-bright\\\", # \\\"seaborn-colorblind\\\", # \\\"seaborn-dark\\\", #\",\n \"+ plotutils.LINE_LIST], # None, # ], # vlines_x=[float, [\\\"pass\\\", []], None], # vlines_ymin=[float,\",\n \"is a red dashed line with star marker. bar_hatchstyles [optional, default to \\\"auto\\\",\",\n \"x == y. Set to a line style code. grid [optional, default is\",\n \"hlines_linestyles: [optional, defaults to None] List of linestyles for the horizontal lines. If\",\n \"a secondary_y axis, should the legend label the axis of the various time-series\",\n \"or legend is None) type = \\\"kde\\\" import matplotlib matplotlib.use(\\\"Agg\\\") import matplotlib.pyplot as\",\n \"lines. The steps variants produce step-plots. 'steps' is equivalent to 'steps-pre' and is\",\n \"x-axis of the plot. For example, '--xlim 1,1000' would limit the plot from\",\n \"[] for st in nstyle: colors.append(st[0]) if len(st) == 1: markerstyles.append(\\\" \\\") linestyles.append(\\\"-\\\")\",\n \"step-plots. 'steps' is equivalent to 'steps-pre' and is maintained for backward-compatibility. ACCEPTS:: ['default'\",\n \"time series. sharex [optional, default to True] In case subplots=True, share x axis.\",\n \"except TypeError: pltfreq = str(tsd.index.freq).lower() if pltfreq.split(\\\" \\\")[0][1:] == \\\"1\\\": beginstr = 3\",\n \"the color for all horizontal lines. If a list must be same length\",\n \"marker. If 'auto' will iterate through the available matplotlib marker types. Otherwise on\",\n \"ylim=[float, [\\\"pass\\\", []], 2], # xaxis=[str, [\\\"domain\\\", [\\\"arithmetic\\\", \\\"log\\\"]], 1], # yaxis=[str, [\\\"domain\\\",\",\n \"barh_stacked. ibar_hatchstyles = itertools.cycle(bar_hatchstyles) if ( logx is True or logy is True\",\n \"DEPRECATED: use '--type=\\\"norm_yaxis\\\"' instead. lognorm_xaxis DEPRECATED: use '--type=\\\"lognorm_xaxis\\\"' instead. lognorm_yaxis DEPRECATED: use '--type=\\\"lognorm_yaxis\\\"'\",\n \"Title of chart. figsize : str [optional, defaults to '10,6.5'] The 'width,height' of\",\n \"as pd from mando.rst_text_formatter import RSTHelpFormatter from tstoolbox import tsutils from .. import\",\n \"# ytitle=[str, [\\\"pass\\\", []], 1], # title=[str, [\\\"pass\\\", []], 1], # figsize=[float, [\\\"range\\\",\",\n \"pltfreq == \\\"none\\\": short_freq = \\\"\\\" else: # short freq string (day) OR\",\n \"or 'hist' for a histogram. bootstrap_size : int [optional, defaults to 50] The\",\n \"_, ax = plt.subplots(figsize=figsize) if type in [\\\"kde\\\", \\\"probability_density\\\"]: ax = tsd.plot.kde( legend=legend,\",\n \"default is based on range of x values] Comma separated lower and upper\",\n \"else: linestyles = tsutils.make_list(linestyles) if bar_hatchstyles == \\\"auto\\\": bar_hatchstyles = plotutils.HATCH_LIST else: bar_hatchstyles\",\n \"DEPRECATED: use '--yaxis=\\\"log\\\"' instead. xlim [optional, default is based on range of x\",\n \"except AttributeError: short_freq = \\\"\\\" if colors == \\\"auto\\\": colors = None else:\",\n \"\\\"dark_background\\\", \\\"fast\\\", \\\"fivethirtyeight\\\", \\\"ggplot\\\", \\\"grayscale\\\", \\\"seaborn\\\", \\\"seaborn-bright\\\", \\\"seaborn-colorblind\\\", \\\"seaborn-dark\\\", \\\"seaborn-dark-palette\\\", \\\"seaborn-darkgrid\\\", \\\"seaborn-deep\\\", \\\"seaborn-muted\\\",\",\n \"legend is True: plt.legend(loc=\\\"best\\\") if hlines_y is not None: hlines_y = tsutils.make_list(hlines_y) hlines_xmin\",\n \"the time-series names associated with the input data. The 'legend_names' option allows you\",\n \"defaults to None] List of colors for the vertical lines. If a single\",\n \"| ``+`` | plus | +-------+----------------+ | x | x | +-------+----------------+ |\",\n \"index_type=index_type, names=names, ofilename=ofilename, xtitle=xtitle, ytitle=ytitle, title=title, figsize=figsize, legend=legend, legend_names=legend_names, subplots=subplots, sharex=sharex, sharey=sharey, colors=colors,\",\n \"Marker reference: http://matplotlib.org/api/markers_api.html style [optional, default is None] Still available, but if None\",\n \"major ticks. label_rotation : int [optional] Rotation for major labels for bar plots.\",\n \"norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. prob_plot_sort_values : str [optional, default is\",\n \"[\\\"pass\\\", []], 1], # type=[str, [\\\"domain\\\", [\\\"kde\\\",],], 1,], # lag_plot_lag=[int, [\\\"range\\\", [1, None]],\",\n \"m = next(imarkerstyles) else: m = None if ilinestyles is not None: l\",\n \"None: linestyles = [\\\" \\\"] else: linestyles = [\\\" \\\" if i in\",\n \"ppf(tsutils.make_list(vlines_x)) plt.vlines( vlines_x, vlines_ymin, vlines_ymax, colors=vlines_colors, linestyles=vlines_linestyles, ) plt.xlabel(xtitle) plt.ylabel(ytitle) if invert_xaxis is\",\n \"\\\" \\\", \\\" \\\"] + plotutils.MARKER_LIST], None], # bar_hatchstyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\",\",\n \"the current plot style. hlines_linestyles: [optional, defaults to None] List of linestyles for\",\n \"example 'r*--' is a red dashed line with star marker. bar_hatchstyles [optional, default\",\n \"of 'kde' for Kernel Density Estimation or 'hist' for a histogram. bootstrap_size :\",\n \"--type=\\\"norm_xaxis\\\" * For --norm_yaxis use --type=\\\"norm_yaxis\\\" * For --lognorm_xaxis use --type=\\\"lognorm_xaxis\\\" * For\",\n \"x value for all horizontal lines. A missing value or None will end\",\n \"for the y-axis of the plot. See `xlim` for examples. xaxis : str\",\n \"to last good value. Strips NANs from beginning and end. {force_freq} invert_xaxis [optional,\",\n \"label_skip=label_skip, force_freq=force_freq, drawstyle=drawstyle, por=por, invert_xaxis=invert_xaxis, invert_yaxis=invert_yaxis, round_index=round_index, plotting_position=plotting_position, prob_plot_sort_values=prob_plot_sort_values, source_units=source_units, target_units=target_units, lag_plot_lag=lag_plot_lag, plot_styles=plot_styles,\",\n \"to plot on the secondary y-axis. If a list/tuple, which time-series to plot\",\n \"will create a PNG file. If used within Python, and `ofilename` is None\",\n \"\\\"] + plotutils.HATCH_LIST], None], # style=[str, [\\\"pass\\\", []], None], # xlim=[float, [\\\"pass\\\", []],\",\n \"grid=grid, label_rotation=label_rotation, label_skip=label_skip, force_freq=force_freq, drawstyle=drawstyle, por=por, invert_xaxis=invert_xaxis, invert_yaxis=invert_yaxis, round_index=round_index, plotting_position=plotting_position, prob_plot_sort_values=prob_plot_sort_values, source_units=source_units, target_units=target_units,\",\n \"to None] List of maximum x values to end each horizontal line. If\",\n \"sharex [optional, default to True] In case subplots=True, share x axis. sharey [optional,\",\n \"the lower limit on the data and set the upper limit to 1000.\",\n \"lag_plot_lag=[int, [\\\"range\\\", [1, None]], 1], # xtitle=[str, [\\\"pass\\\", []], 1], # ytitle=[str, [\\\"pass\\\",\",\n \"will be used as the color for all horizontal lines. If a list\",\n \"be same length as `hlines_y`. If a single number will be used as\",\n \"if style != \\\"auto\\\": nstyle = tsutils.make_list(style) if len(nstyle) != len(tsd.columns): raise ValueError(\",\n \"in markerstyles] if colors is not None: icolors = itertools.cycle(colors) else: icolors =\",\n \"'log'. yaxis : str [optional, default is 'arithmetic'] Defines the type of the\",\n \"# \\\"high-vis\\\", # \\\"bright\\\", # \\\"vibrant\\\", # \\\"muted\\\", # \\\"retro\\\", # ], #\",\n \"# str, # [ # \\\"domain\\\", # [\\\"weibull\\\", \\\"benard\\\", \\\"tukey\\\", \\\"gumbel\\\", \\\"hazen\\\", \\\"cunnane\\\",\",\n \"\\\"bar\\\", \\\"barh\\\", \\\"bar_stacked\\\", and \\\"barh_stacked\\\"] If 'auto' will iterate through the available matplotlib\",\n \"The 'legend_names' option allows you to override the names in the data set.\",\n \"'descending'] How to sort the values for the probability plots. Only used for\",\n \"to None] List of minimum x values to start the horizontal line. If\",\n \"norm_xaxis is True or norm_yaxis is True or lognorm_xaxis is True or lognorm_yaxis\",\n \"xlim [optional, default is based on range of x values] Comma separated lower\",\n \"plot on the secondary y-axis. If a list/tuple, which time-series to plot on\",\n \"--lognorm_xaxis, and * --lognorm_yaxis options are deprecated. * * For --logx use --xaxis=\\\"log\\\"\",\n \"+-------+----------------+ | d | thin diamond | +-------+----------------+ | _ | hlines_y |\",\n \"For example, '--xlim 1,1000' would limit the plot from 1 to 1000, where\",\n \"# title=[str, [\\\"pass\\\", []], 1], # figsize=[float, [\\\"range\\\", [0, None]], 2], # legend=[bool,\",\n \"| p | pentagon | +-------+----------------+ | ``*`` | star | +-------+----------------+ |\",\n \"'--yaxis=\\\"log\\\"' instead. xlim [optional, default is based on range of x values] Comma\",\n \"hlines_linestyles=[ # str, # [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"] +\",\n \"circle | +-------+----------------+ | v | triangle down | +-------+----------------+ | ^ |\",\n \"Extension defines the type, for example 'filename.png' will create a PNG file. If\",\n \"If None will take for the standard linestyles list. \\\"\\\"\\\" plt = kde(\",\n \"\\\"grid\\\", # \\\"ieee\\\", # \\\"scatter\\\", # \\\"notebook\\\", # \\\"high-vis\\\", # \\\"bright\\\", # \\\"vibrant\\\",\",\n \"drawstyle=[str, [\\\"pass\\\", []], 1], # por=[bool, [\\\"domain\\\", [True, False]], 1], # invert_xaxis=[bool, [\\\"domain\\\",\",\n \"\\\"seaborn-poster\\\", # \\\"seaborn-talk\\\", # \\\"seaborn-ticks\\\", # \\\"seaborn-white\\\", # \\\"seaborn-whitegrid\\\", # \\\"tableau-colorblind10\\\", # \\\"science\\\",\",\n \"# ofilename=[str, [\\\"pass\\\", []], 1], # type=[str, [\\\"domain\\\", [\\\"kde\\\",],], 1,], # lag_plot_lag=[int, [\\\"range\\\",\",\n \"each time series. sharex [optional, default to True] In case subplots=True, share x\",\n \"to fit in a column of the \\\"IEEE\\\" journal. The \\\"grayscale\\\" is another\",\n \"must be same length as `hlines_y`. If None will take from the color\",\n \"for i in plot_styles ] plt.style.use(plot_styles) figsize = tsutils.make_list(figsize, n=2) _, ax =\",\n \"``\\\\`` | back diagonal | +-----------------+-------------------+ | ``|`` | vertical | +-----------------+-------------------+ |\",\n \"# short freq string (day) OR (2 day) short_freq = \\\"({})\\\".format(pltfreq[beginstr:-1]) except AttributeError:\",\n \"['default' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post'] por [optional] Plot from\",\n \"title=title, figsize=figsize, legend=legend, legend_names=legend_names, subplots=subplots, sharex=sharex, sharey=sharey, colors=colors, linestyles=linestyles, markerstyles=markerstyles, bar_hatchstyles=bar_hatchstyles, style=style, logx=logx,\",\n \"drawstyle=drawstyle, por=por, invert_xaxis=invert_xaxis, invert_yaxis=invert_yaxis, round_index=round_index, plotting_position=plotting_position, prob_plot_sort_values=prob_plot_sort_values, source_units=source_units, target_units=target_units, lag_plot_lag=lag_plot_lag, plot_styles=plot_styles, hlines_y=hlines_y, hlines_xmin=hlines_xmin,\",\n \"is None: hlines_xmax = nxlim[1] if vlines_x is not None: vlines_x = tsutils.make_list(vlines_x)\",\n \"set. subplots [optional, defaults to False] Make separate subplots for each time series.\",\n \"| large circle | +-----------------+-------------------+ | . | dots | +-----------------+-------------------+ | *\",\n \"should the legend label the axis of the various time-series automatically. scatter_matrix_diagonal :\",\n \"for the entire plot. hlines_colors: [optional, defaults to None] List of colors for\",\n \"list, or a list of strings if using the Python API. Separated 'colors',\",\n \"the entire plot. vlines_colors: [optional, defaults to None] List of colors for the\",\n \"= 3 else: beginstr = 1 if pltfreq == \\\"none\\\": short_freq = \\\"\\\"\",\n \"vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\\\"-\\\", ): r\\\"\\\"\\\"Kernel density estimation of probability density function. \\\"kde\\\"\",\n \"+ | crossed | +-----------------+-------------------+ | x | crossed diagonal | +-----------------+-------------------+ |\",\n \"hlines_xmax = tsutils.make_list(hlines_xmax) hlines_colors = tsutils.make_list(hlines_colors) hlines_linestyles = tsutils.make_list(hlines_linestyles) nxlim = ax.get_xlim() if\",\n \"absolute_import, division, print_function import itertools import os import warnings import mando import numpy\",\n \"the x-axis of the plot. For example, '--xlim 1,1000' would limit the plot\",\n \"'steps-post'] por [optional] Plot from first good value to last good value. Strips\",\n \"[optional, defaults to True] Whether to display the legend. legend_names : str [optional,\",\n \"be used as the color for all horizontal lines. If a list must\",\n \"vlines_x=vlines_x, vlines_ymin=vlines_ymin, vlines_ymax=vlines_ymax, vlines_colors=vlines_colors, vlines_linestyles=vlines_linestyles, ) # @tsutils.validator( # ofilename=[str, [\\\"pass\\\", []], 1],\",\n \"markerstyles.append(\\\" \\\") linestyles.append(st[1:]) if linestyles is None: linestyles = [\\\" \\\"] else: linestyles\",\n \"single number will be used as the minimum x values for all vertical\",\n \"os.path.exists(os.path.join(style_loc, i + \\\".mplstyle\\\")) else i for i in plot_styles ] plt.style.use(plot_styles) figsize\",\n \"If a list/tuple, which time-series to plot on secondary y-axis. mark_right [optional, default\",\n \"default is False] Invert the x-axis. invert_yaxis [optional, default is False] Invert the\",\n \"Number or list of y values where to place a horizontal line. hlines_xmin:\",\n \"used within Python, and `ofilename` is None will return the Matplotlib figure that\",\n \"yaxis=[str, [\\\"domain\\\", [\\\"arithmetic\\\", \\\"log\\\"]], 1], # secondary_y=[bool, [\\\"domain\\\", [True, False]], 1], # mark_right=[bool,\",\n \"\\\"\\\" or legend == \\\"True\\\" or legend is None) type = \\\"kde\\\" import\",\n \"\\\"kde\\\" will create a plot of estimation of the probability density function based\",\n \": str [optional, default is 'arithmetic'] Defines the type of the yaxis. One\",\n \"vlines_x = tsutils.make_list(vlines_x) vlines_ymin = tsutils.make_list(vlines_ymin) vlines_ymax = tsutils.make_list(vlines_ymax) vlines_colors = tsutils.make_list(vlines_colors) vlines_linestyles\",\n \"place a horizontal line. hlines_xmin: [optional, defaults to None] List of minimum x\",\n \"List of minimum y values to start the vertical line. If a list\",\n \"per time-series. Just combine codes in 'ColorMarkerLine' order, for example 'r*--' is a\",\n \"[optional, default is 'weibull'] {plotting_position_table} Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis,\",\n \"of y values where to place a horizontal line. hlines_xmin: [optional, defaults to\",\n \"\\\"seaborn-dark\\\", \\\"seaborn-dark-palette\\\", \\\"seaborn-darkgrid\\\", \\\"seaborn-deep\\\", \\\"seaborn-muted\\\", \\\"seaborn-notebook\\\", \\\"seaborn-paper\\\", \\\"seaborn-pastel\\\", \\\"seaborn-poster\\\", \\\"seaborn-talk\\\", \\\"seaborn-ticks\\\", \\\"seaborn-white\\\", \\\"seaborn-whitegrid\\\",\",\n \"| +------+---------+ | k | black | +------+---------+ 3. Number between 0 and\",\n \"| burlywood | +------------------+ | chartreuse | +------------------+ | ...etc. | +------------------+ Color\",\n \"bool(legend == \\\"\\\" or legend == \\\"True\\\" or legend is None) type =\",\n \"is False] Whether to plot on the secondary y-axis. If a list/tuple, which\",\n \"[]], 1], # label_skip=[int, [\\\"range\\\", [1, None]], 1], # drawstyle=[str, [\\\"pass\\\", []], 1],\",\n \"\\\"lognorm_yaxis\\\", \\\"weibull_yaxis\\\"]: hlines_y = ppf(tsutils.make_list(hlines_y)) plt.hlines( hlines_y, hlines_xmin, hlines_xmax, colors=hlines_colors, linestyles=hlines_linestyles, ) if\",\n \"y | yellow | +------+---------+ | k | black | +------+---------+ 3. Number\",\n \"\\\" \\\", \\\" \\\"] + plotutils.LINE_LIST], # None, # ], # ) def\",\n \"== \\\"True\\\" or legend is None) type = \\\"kde\\\" import matplotlib matplotlib.use(\\\"Agg\\\") import\",\n \"styles: https://github.com/garrettj403/SciencePlots hlines_y: [optional, defaults to None] Number or list of y values\",\n \"4. Any of the HTML color names. +------------------+ | HTML Color Names |\",\n \"# xtitle=[str, [\\\"pass\\\", []], 1], # ytitle=[str, [\\\"pass\\\", []], 1], # title=[str, [\\\"pass\\\",\",\n \"Whether to display the legend. legend_names : str [optional, defaults to None] Legend\",\n \": str [optional, default is 'default'] 'default' connects the points with lines. The\",\n \"a list of color code strings. Can identify colors in four different ways.\",\n \"as plt from matplotlib.ticker import FixedLocator tsd = tsutils.common_kwds( input_ts, skiprows=skiprows, names=names, index_type=index_type,\",\n \"= nxlim[0] if hlines_xmax is None: hlines_xmax = nxlim[1] if vlines_x is not\",\n \"| +-----------------+-------------------+ | x | crossed diagonal | +-----------------+-------------------+ | o | small\",\n \"length as `vlines_x`. If None will take for the standard linestyles list. \\\"\\\"\\\"\",\n \"| +------+---------+ | m | magenta | +------+---------+ | y | yellow |\",\n \"| Code | Color | +======+=========+ | b | blue | +------+---------+ |\",\n \"of the random subset for 'bootstrap' plot. bootstrap_samples [optional, defaults to 500] The\",\n \"[]], 2], # xaxis=[str, [\\\"domain\\\", [\\\"arithmetic\\\", \\\"log\\\"]], 1], # yaxis=[str, [\\\"domain\\\", [\\\"arithmetic\\\", \\\"log\\\"]],\",\n \"\\\".mplstyle\\\")) else i for i in plot_styles ] plt.style.use(plot_styles) figsize = tsutils.make_list(figsize, n=2)\",\n \"\\\" \\\", \\\" \\\"] + plotutils.HATCH_LIST], None], # style=[str, [\\\"pass\\\", []], None], #\",\n \"tsutils.make_list(bar_hatchstyles) if markerstyles == \\\"auto\\\": markerstyles = plotutils.MARKER_LIST else: markerstyles = tsutils.make_list(markerstyles) if\",\n \"colors.append(st[0]) if len(st) == 1: markerstyles.append(\\\" \\\") linestyles.append(\\\"-\\\") continue if st[1] in plotutils.MARKER_LIST:\",\n \"value to last good value. Strips NANs from beginning and end. {force_freq} invert_xaxis\",\n \"different ways. 1. Use 'CN' where N is a number from 0 to\",\n \"default is 'arithmetic'] Defines the type of the xaxis. One of 'arithmetic', 'log'.\",\n \"norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. {columns} {start_date} {end_date} {clean} {skiprows} {index_type} {names}\",\n \"{target_units} {round_index} plot_styles: str [optional, default is \\\"default\\\"] Set the style of the\",\n \"tsutils.make_list(vlines_linestyles) nylim = ax.get_ylim() if vlines_ymin is None: vlines_ymin = nylim[0] if vlines_ymax\",\n \"is not None: icolors = itertools.cycle(colors) else: icolors = None imarkerstyles = itertools.cycle(markerstyles)\",\n \"if linestyles == \\\"auto\\\": linestyles = plotutils.LINE_LIST else: linestyles = tsutils.make_list(linestyles) if bar_hatchstyles\",\n \"Invert the x-axis. invert_yaxis [optional, default is False] Invert the y-axis. plotting_position :\",\n \"== \\\"\\\" or legend == \\\"True\\\" or legend is None) type = \\\"kde\\\"\",\n \"None: l = next(ilinestyles) else: l = None if c is not None:\",\n \"plot_styles=plot_styles, hlines_y=hlines_y, hlines_xmin=hlines_xmin, hlines_xmax=hlines_xmax, hlines_colors=hlines_colors, hlines_linestyles=hlines_linestyles, vlines_x=vlines_x, vlines_ymin=vlines_ymin, vlines_ymax=vlines_ymax, vlines_colors=vlines_colors, vlines_linestyles=vlines_linestyles, ) #\",\n \"{input_ts} ofilename : str [optional, defaults to 'plot.png'] Output filename for the plot.\",\n \"square | +-------+----------------+ | p | pentagon | +-------+----------------+ | ``*`` | star\",\n \"kde( input_ts=input_ts, columns=columns, start_date=start_date, end_date=end_date, clean=clean, skiprows=skiprows, index_type=index_type, names=names, ofilename=ofilename, xtitle=xtitle, ytitle=ytitle, title=title,\",\n \"\\\"Density\\\" if legend is True: plt.legend(loc=\\\"best\\\") if hlines_y is not None: hlines_y =\",\n \"order, for example 'r*--' is a red dashed line with star marker. bar_hatchstyles\",\n \"horizontal lines. If a single linestyle then will be used as the linestyle\",\n \"of the HTML color names. +------------------+ | HTML Color Names | +==================+ |\",\n \"| b | blue | +------+---------+ | g | green | +------+---------+ |\",\n \"tri_up | +-------+----------------+ | 3 | tri_left | +-------+----------------+ | 4 | tri_right\",\n \"strings if using the Python API. To not display lines use a space\",\n \"use --yaxis=\\\"log\\\" * For --norm_xaxis use --type=\\\"norm_xaxis\\\" * For --norm_yaxis use --type=\\\"norm_yaxis\\\" *\",\n \"legend is None) type = \\\"kde\\\" import matplotlib matplotlib.use(\\\"Agg\\\") import matplotlib.pyplot as plt\",\n \"will be used as the linestyle for all horizontal lines. If a list\",\n \"One of 'kde' for Kernel Density Estimation or 'hist' for a histogram. bootstrap_size\",\n \"of linestyles for the horizontal lines. If a single linestyle then will be\",\n \"{index_type} {names} {source_units} {target_units} {round_index} plot_styles: str [optional, default is \\\"default\\\"] Set the\",\n \"fit in a column of the \\\"IEEE\\\" journal. The \\\"grayscale\\\" is another style\",\n \"[\\\"domain\\\", [\\\"ascending\\\", \\\"descending\\\"]], 1], # plot_styles=[ # str, # [ # \\\"domain\\\", #\",\n \"\\\"bmh\\\", \\\"dark_background\\\", \\\"fast\\\", \\\"fivethirtyeight\\\", \\\"ggplot\\\", \\\"grayscale\\\", \\\"seaborn\\\", \\\"seaborn-bright\\\", \\\"seaborn-colorblind\\\", \\\"seaborn-dark\\\", \\\"seaborn-dark-palette\\\", \\\"seaborn-darkgrid\\\", \\\"seaborn-deep\\\",\",\n \"| 'steps-mid' | 'steps-post'] por [optional] Plot from first good value to last\",\n \"you to override the names in the data set. You must supply a\",\n \"[optional, default is 'descending'] How to sort the values for the probability plots.\",\n \"all horizontal lines. A missing value or None will start at the minimum\",\n \"hlines_y is not None: hlines_y = tsutils.make_list(hlines_y) hlines_xmin = tsutils.make_list(hlines_xmin) hlines_xmax = tsutils.make_list(hlines_xmax)\",\n \"+-------+----------------+ | o | circle | +-------+----------------+ | v | triangle down |\",\n \"is False] Whether to plot grid lines on the major ticks. label_rotation :\",\n \"+------+---------+ | y | yellow | +------+---------+ | k | black | +------+---------+\",\n \"Markers | +=======+================+ | . | point | +-------+----------------+ | o | circle\",\n \"tsutils.make_list(linestyles) if bar_hatchstyles == \\\"auto\\\": bar_hatchstyles = plotutils.HATCH_LIST else: bar_hatchstyles = tsutils.make_list(bar_hatchstyles) if\",\n \"type=[str, [\\\"domain\\\", [\\\"kde\\\",],], 1,], # lag_plot_lag=[int, [\\\"range\\\", [1, None]], 1], # xtitle=[str, [\\\"pass\\\",\",\n \"[optional, default is 'arithmetic'] Defines the type of the yaxis. One of 'arithmetic',\",\n \"| dashed | +---------+--------------+ | -. | dash_dot | +---------+--------------+ | : |\",\n \"to be distinguished by someone with color blindness. Black, White, and Gray Styles\",\n \"| +-------+----------------+ | ``*`` | star | +-------+----------------+ | h | hexagon1 |\",\n \"nxlim[1] if vlines_x is not None: vlines_x = tsutils.make_list(vlines_x) vlines_ymin = tsutils.make_list(vlines_ymin) vlines_ymax\",\n \"| +-------+----------------+ | ^ | triangle up | +-------+----------------+ | < | triangle\",\n \"defaults to True] Whether to display the legend. legend_names : str [optional, defaults\",\n \"| 2 | tri_up | +-------+----------------+ | 3 | tri_left | +-------+----------------+ |\",\n \"markerstyles.append(st[1]) try: linestyles.append(st[2:]) except IndexError: linestyles.append(\\\" \\\") else: markerstyles.append(\\\" \\\") linestyles.append(st[1:]) if linestyles\",\n \"pd from mando.rst_text_formatter import RSTHelpFormatter from tstoolbox import tsutils from .. import plotutils\",\n \"is another style useful for photo-copyable black, white, nd gray. Matplotlib styles: https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_reference.html\",\n \"[\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.HATCH_LIST], None], # style=[str, [\\\"pass\\\",\",\n \"hlines_colors=hlines_colors, hlines_linestyles=hlines_linestyles, vlines_x=vlines_x, vlines_ymin=vlines_ymin, vlines_ymax=vlines_ymax, vlines_colors=vlines_colors, vlines_linestyles=vlines_linestyles, ) # @tsutils.validator( # ofilename=[str, [\\\"pass\\\",\",\n \"the implementation of # mando legend = bool(legend == \\\"\\\" or legend ==\",\n \"linestyles=linestyles, markerstyles=markerstyles, bar_hatchstyles=bar_hatchstyles, style=style, logx=logx, logy=logy, xaxis=xaxis, yaxis=yaxis, xlim=xlim, ylim=ylim, secondary_y=secondary_y, mark_right=mark_right, scatter_matrix_diagonal=scatter_matrix_diagonal,\",\n \"of strings for each time-series in the data set. subplots [optional, defaults to\",\n \"plus | +-------+----------------+ | x | x | +-------+----------------+ | D | diamond\",\n \"[\\\"ascending\\\", \\\"descending\\\"]], 1], # plot_styles=[ # str, # [ # \\\"domain\\\", # [\",\n \"linestyles == \\\"auto\\\": linestyles = plotutils.LINE_LIST else: linestyles = tsutils.make_list(linestyles) if bar_hatchstyles ==\",\n \"to sort the values for the probability plots. Only used for norm_xaxis, norm_yaxis,\",\n \"1 that represents the level of gray, where 0 is white an 1\",\n \"nstyle = tsutils.make_list(style) if len(nstyle) != len(tsd.columns): raise ValueError( tsutils.error_wrapper( \\\"\\\"\\\" You have\",\n \"== \\\"auto\\\": bar_hatchstyles = plotutils.HATCH_LIST else: bar_hatchstyles = tsutils.make_list(bar_hatchstyles) if markerstyles == \\\"auto\\\":\",\n \"None]], 1], # xtitle=[str, [\\\"pass\\\", []], 1], # ytitle=[str, [\\\"pass\\\", []], 1], #\",\n \"\\\"] + plotutils.LINE_LIST], # None, # ], # ) def kde( input_ts=\\\"-\\\", columns=None,\",\n \"kde_cli( input_ts=\\\"-\\\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\\\"datetime\\\", names=None, ofilename=\\\"plot.png\\\", xtitle=\\\"\\\", ytitle=\\\"\\\", title=\\\"\\\",\",\n \"[optional, defaults to None] Number or list of y values where to place\",\n \"| draw nothing | +---------+--------------+ Line reference: http://matplotlib.org/api/artist_api.html markerstyles [optional, default to '\",\n \"\\\"none\\\": short_freq = \\\"\\\" else: # short freq string (day) OR (2 day)\",\n \"| Color | +======+=========+ | b | blue | +------+---------+ | g |\",\n \"numpy as np import pandas as pd from mando.rst_text_formatter import RSTHelpFormatter from tstoolbox\",\n \"'auto' will iterate through the available matplotlib marker types. Otherwise on the command\",\n \"vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\\\"-\\\", ): r\\\"\\\"\\\"Kernel density estimation of probability density function.\",\n \"[\\\"domain\\\", [True, False]], 1], # legend_names=[str, [\\\"pass\\\", []], 1], # subplots=[bool, [\\\"domain\\\", [True,\",\n \"case subplots=True, share x axis. sharey [optional, default to False] In case subplots=True,\",\n \"for example 'filename.png' will create a PNG file. If used within Python, and\",\n \"using the Python API. Separated 'colors', 'linestyles', and 'markerstyles' instead of using the\",\n \"code strings. Can identify colors in four different ways. 1. Use 'CN' where\",\n \"por [optional] Plot from first good value to last good value. Strips NANs\",\n \"the plot along the diagonal. One of 'kde' for Kernel Density Estimation or\",\n \"frequency try: try: pltfreq = str(tsd.index.freq, \\\"utf-8\\\").lower() except TypeError: pltfreq = str(tsd.index.freq).lower() if\",\n \"matplotlib colors in the chosen style. At the command line supply a comma\",\n \"# \\\"Solarize_Light2\\\", # \\\"bmh\\\", # \\\"dark_background\\\", # \\\"fast\\\", # \\\"fivethirtyeight\\\", # \\\"ggplot\\\", #\",\n \"not None: vlines_x = tsutils.make_list(vlines_x) vlines_ymin = tsutils.make_list(vlines_ymin) vlines_ymax = tsutils.make_list(vlines_ymax) vlines_colors =\",\n \"data. The 'legend_names' option allows you to override the names in the data\",\n \"' ' | draw nothing | +---------+--------------+ | '' | draw nothing |\",\n \"# \\\"bright\\\", # \\\"vibrant\\\", # \\\"muted\\\", # \\\"retro\\\", # ], # ], #\",\n \"index_type=index_type, start_date=start_date, end_date=end_date, pick=columns, round_index=round_index, dropna=\\\"all\\\", source_units=source_units, target_units=target_units, clean=clean, por=por, ) tsd, lnames\",\n \"the various time-series automatically. scatter_matrix_diagonal : str [optional, defaults to 'kde'] If plot\",\n \"and \\\"muted\\\" are all styles that are setup to be able to be\",\n \"a list must be same length as `hlines_y`. If None will take for\",\n \"y axis. colors [optional, default is 'auto'] The default 'auto' will cycle through\",\n \"# subplots=[bool, [\\\"domain\\\", [True, False]], 1], # sharex=[bool, [\\\"domain\\\", [True, False]], 1], #\",\n \"vlines_linestyles=\\\"-\\\", ): r\\\"\\\"\\\"Kernel density estimation of probability density function. \\\"kde\\\" will create a\",\n \"color for all horizontal lines. If a list must be same length as\",\n \"\\\", \\\" \\\"] + plotutils.MARKER_LIST], None], # bar_hatchstyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\"\",\n \"dotted | +---------+--------------+ | None | draw nothing | +---------+--------------+ | ' '\",\n \"colors=colors, linestyles=linestyles, markerstyles=markerstyles, bar_hatchstyles=bar_hatchstyles, style=style, logx=logx, logy=logy, xaxis=xaxis, yaxis=yaxis, xlim=xlim, ylim=ylim, secondary_y=secondary_y, mark_right=mark_right,\",\n \"color pallette in the current plot style. hlines_linestyles: [optional, defaults to None] List\",\n \"vlines_x, vlines_ymin, vlines_ymax, colors=vlines_colors, linestyles=vlines_linestyles, ) plt.xlabel(xtitle) plt.ylabel(ytitle) if invert_xaxis is True: plt.gca().invert_xaxis()\",\n \"linestyles=hlines_linestyles, ) if vlines_x is not None: if type in [\\\"norm_xaxis\\\", \\\"lognorm_xaxis\\\", \\\"weibull_xaxis\\\"]:\",\n \"= str(tsd.index.freq).lower() if pltfreq.split(\\\" \\\")[0][1:] == \\\"1\\\": beginstr = 3 else: beginstr =\",\n \"[optional, defaults to 'plot.png'] Output filename for the plot. Extension defines the type,\",\n \"| +-------+----------------+ | d | thin diamond | +-------+----------------+ | _ | hlines_y\",\n \"== \\\"auto\\\": colors = None else: colors = tsutils.make_list(colors) if linestyles == \\\"auto\\\":\",\n \"single number will be used as the minimum x values for all horizontal\",\n \"end each vertical line. If a list must be same length as `vlines_x`.\",\n \"the secondary y-axis. If a list/tuple, which time-series to plot on secondary y-axis.\",\n \"[optional, defaults to False] Make separate subplots for each time series. sharex [optional,\",\n \"[\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.HATCH_LIST], None], # style=[str,\",\n \"+ plotutils.MARKER_LIST], None], # bar_hatchstyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"]\",\n \"used as the linestyle for all horizontal lines. If a list must be\",\n \"gray, where 0 is white an 1 is black. 4. Any of the\",\n \"missing value or None will end at the maximum x value for the\",\n \"# colors=[str, [\\\"pass\\\", []], None], # linestyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\",\",\n \"[\\\"pass\\\", []], None], # vlines_ymin=[float, [\\\"pass\\\", []], None], # vlines_ymax=[float, [\\\"pass\\\", []], None],\",\n \"tsd, lnames = plotutils.check(type, tsd, legend_names) # This is to help pretty print\",\n \"tsutils.make_list(vlines_colors) vlines_linestyles = tsutils.make_list(vlines_linestyles) nylim = ax.get_ylim() if vlines_ymin is None: vlines_ymin =\",\n \"is True or lognorm_xaxis is True or lognorm_yaxis is True ): warnings.warn( \\\"\\\"\\\"\",\n \"formatter_class=RSTHelpFormatter, doctype=\\\"numpy\\\") @tsutils.doc(plotutils.ldocstrings) def kde_cli( input_ts=\\\"-\\\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\\\"datetime\\\", names=None,\",\n \"instead. lognorm_yaxis DEPRECATED: use '--type=\\\"lognorm_yaxis\\\"' instead. xy_match_line : str [optional, defaults is '']\",\n \"draw nothing | +---------+--------------+ | '' | draw nothing | +---------+--------------+ Line reference:\",\n \"use the time-series names associated with the input data. The 'legend_names' option allows\",\n \"of y-axis. title : str [optional, defaults to ''] Title of chart. figsize\",\n \"def kde_cli( input_ts=\\\"-\\\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\\\"datetime\\\", names=None, ofilename=\\\"plot.png\\\", xtitle=\\\"\\\", ytitle=\\\"\\\",\",\n \"if colors == \\\"auto\\\": colors = None else: colors = tsutils.make_list(colors) if linestyles\",\n \"the data set. You must supply a comma separated list of strings for\",\n \"a vertical line. vlines_ymin: [optional, defaults to None] List of minimum y values\",\n \"plotutils.HATCH_LIST], None], # style=[str, [\\\"pass\\\", []], None], # xlim=[float, [\\\"pass\\\", []], 2], #\",\n \"barh, bar_stacked, and barh_stacked. ibar_hatchstyles = itertools.cycle(bar_hatchstyles) if ( logx is True or\",\n \"which has {} style strings, but you have {} time-series. \\\"\\\"\\\".format( style, len(nstyle),\",\n \"mark_right [optional, default is True] When using a secondary_y axis, should the legend\",\n \"the same number of style strings as time-series to plot. You supplied '{}'\",\n \"yaxis=\\\"arithmetic\\\", xlim=None, ylim=None, secondary_y=False, mark_right=True, scatter_matrix_diagonal=\\\"kde\\\", bootstrap_size=50, bootstrap_samples=500, norm_xaxis=False, norm_yaxis=False, lognorm_xaxis=False, lognorm_yaxis=False, xy_match_line=\\\"\\\",\",\n \"label_rotation=label_rotation, label_skip=label_skip, force_freq=force_freq, drawstyle=drawstyle, por=por, invert_xaxis=invert_xaxis, invert_yaxis=invert_yaxis, round_index=round_index, plotting_position=plotting_position, prob_plot_sort_values=prob_plot_sort_values, source_units=source_units, target_units=target_units, lag_plot_lag=lag_plot_lag,\",\n \"| red | +------+---------+ | c | cyan | +------+---------+ | m |\",\n \"| +-------+----------------+ | ' ' | nothing | +-------+----------------+ | '' | nothing\",\n \"of random subsets of 'bootstrap_size'. norm_xaxis DEPRECATED: use '--type=\\\"norm_xaxis\\\"' instead. norm_yaxis DEPRECATED: use\",\n \"short freq string (day) OR (2 day) short_freq = \\\"({})\\\".format(pltfreq[beginstr:-1]) except AttributeError: short_freq\",\n \"Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. {columns} {start_date} {end_date}\",\n \"maximum x value for the entire plot. vlines_colors: [optional, defaults to None] List\",\n \"then be changed or added to as needed. lag_plot_lag [optional, default to 1]\",\n \"cycle through matplotlib colors in the chosen style. At the command line supply\",\n \"horizontal | +-----------------+-------------------+ | + | crossed | +-----------------+-------------------+ | x | crossed\",\n \"c = None if imarkerstyles is not None: m = next(imarkerstyles) else: m\",\n \"that gets the Nth color from the current style. 2. Single character code\",\n \"take for the standard linestyles list. vlines_x: [optional, defaults to None] List of\",\n \"to be able to be distinguished by someone with color blindness. Black, White,\",\n \"time-series to plot on secondary y-axis. mark_right [optional, default is True] When using\",\n \"vlines_ymin=[float, [\\\"pass\\\", []], None], # vlines_ymax=[float, [\\\"pass\\\", []], None], # vlines_colors=[str, [\\\"pass\\\", []],\",\n \"Separated 'colors', 'linestyles', and 'markerstyles' instead of using the 'style' keyword. +---------+--------------+ |\",\n \"- | horizontal | +-----------------+-------------------+ | + | crossed | +-----------------+-------------------+ | x\",\n \"> | triangle right | +-------+----------------+ | 1 | tri_down | +-------+----------------+ |\",\n \"lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. prob_plot_sort_values : str [optional, default is 'descending'] How\",\n \"+-----------------+-------------------+ | ``\\\\`` | back diagonal | +-----------------+-------------------+ | ``|`` | vertical |\",\n \"ofilename : str [optional, defaults to 'plot.png'] Output filename for the plot. Extension\",\n \"defaults to None] List of minimum x values to start the horizontal line.\",\n \"False]], 1], # mark_right=[bool, [\\\"domain\\\", [True, False]], 1], # scatter_matrix_diagonal=[str, [\\\"domain\\\", [\\\"kde\\\", \\\"hist\\\"]],\",\n \"else: # short freq string (day) OR (2 day) short_freq = \\\"({})\\\".format(pltfreq[beginstr:-1]) except\",\n \"| -- | dashed | +---------+--------------+ | -. | dash_dot | +---------+--------------+ |\",\n \"\\\"hist\\\"]], 1], # bootstrap_size=[int, [\\\"range\\\", [0, None]], 1], # xy_match_line=[str, [\\\"pass\\\", []], 1],\",\n \"vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\\\"-\\\", **kwds, ): r\\\"\\\"\\\"Plot data.\\\"\\\"\\\" # Need to work\",\n \"for the probability plots. Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and\",\n \"List of maximum x values to end each vertical line. If a list\",\n \"if hlines_xmin is None: hlines_xmin = nxlim[0] if hlines_xmax is None: hlines_xmax =\",\n \"Parameters ---------- {input_ts} ofilename : str [optional, defaults to 'plot.png'] Output filename for\",\n \"a single linestyle then will be used as the linestyle for all vertical\",\n \"to 1000. ylim [optional, default is based on range of y values] Comma\",\n \"invert_xaxis=[bool, [\\\"domain\\\", [True, False]], 1], # invert_yaxis=[bool, [\\\"domain\\\", [True, False]], 1], # plotting_position=[\",\n \"m | magenta | +------+---------+ | y | yellow | +------+---------+ | k\",\n \"end_date=None, clean=False, skiprows=None, index_type=\\\"datetime\\\", names=None, ofilename=\\\"plot.png\\\", xtitle=\\\"\\\", ytitle=\\\"\\\", title=\\\"\\\", figsize=\\\"10,6.0\\\", legend=None, legend_names=None, subplots=False,\",\n \"solid | +---------+--------------+ | -- | dashed | +---------+--------------+ | -. | dash_dot\",\n \"down | +-------+----------------+ | ^ | triangle up | +-------+----------------+ | < |\",\n \"\\\"bright\\\", # \\\"vibrant\\\", # \\\"muted\\\", # \\\"retro\\\", # ], # ], # None,\",\n \"linestyle=l) ytitle = ytitle or \\\"Density\\\" if legend is True: plt.legend(loc=\\\"best\\\") if hlines_y\",\n \"\\\"science\\\", \\\"grid\\\", \\\"ieee\\\", \\\"scatter\\\", \\\"notebook\\\", \\\"high-vis\\\", \\\"bright\\\", \\\"vibrant\\\", \\\"muted\\\", and \\\"retro\\\". If multiple\",\n \"hlines_linestyles = tsutils.make_list(hlines_linestyles) nxlim = ax.get_xlim() if hlines_xmin is None: hlines_xmin = nxlim[0]\",\n \"separated list of strings for each time-series in the data set. subplots [optional,\",\n \"used as the minimum x values for all horizontal lines. A missing value\",\n \"or a list of strings if using the Python API. +-----------------+-------------------+ | bar_hatchstyles\",\n \"be able to be distinguished by someone with color blindness. Black, White, and\",\n \"str [optional, default is 'arithmetic'] Defines the type of the yaxis. One of\",\n \"same length as `vlines_x`. If a single number will be the maximum x\",\n \"option allows you to override the names in the data set. You must\",\n \"\\\"seaborn-notebook\\\", \\\"seaborn-paper\\\", \\\"seaborn-pastel\\\", \\\"seaborn-poster\\\", \\\"seaborn-talk\\\", \\\"seaborn-ticks\\\", \\\"seaborn-white\\\", \\\"seaborn-whitegrid\\\", \\\"tableau-colorblind10\\\", and SciencePlots styles \\\"science\\\",\",\n \"| +---------+--------------+ | '' | draw nothing | +---------+--------------+ Line reference: http://matplotlib.org/api/artist_api.html markerstyles\",\n \"Appropriate Styles The styles \\\"seaborn-colorblind\\\", \\\"tableau-colorblind10\\\", \\\"bright\\\", \\\"vibrant\\\", and \\\"muted\\\" are all styles\",\n \"style. vlines_linestyles: [optional, defaults to None] List of linestyles for the vertical lines.\",\n \"+-----------------+-------------------+ | * | stars | +-----------------+-------------------+ logx DEPRECATED: use '--xaxis=\\\"log\\\"' instead. logy\",\n \"y values] Comma separated lower and upper limits for the y-axis of the\",\n \"import FixedLocator tsd = tsutils.common_kwds( input_ts, skiprows=skiprows, names=names, index_type=index_type, start_date=start_date, end_date=end_date, pick=columns, round_index=round_index,\",\n \"+-------+----------------+ | ^ | triangle up | +-------+----------------+ | < | triangle left\",\n \"``|`` | vertical | +-----------------+-------------------+ | - | horizontal | +-----------------+-------------------+ | +\",\n \"to 'steps-pre' and is maintained for backward-compatibility. ACCEPTS:: ['default' | 'steps' | 'steps-pre'\",\n \"# sharex=[bool, [\\\"domain\\\", [True, False]], 1], # sharey=[bool, [\\\"domain\\\", [True, False]], 1], #\",\n \"try: pltfreq = str(tsd.index.freq, \\\"utf-8\\\").lower() except TypeError: pltfreq = str(tsd.index.freq).lower() if pltfreq.split(\\\" \\\")[0][1:]\",\n \"input_ts, skiprows=skiprows, names=names, index_type=index_type, start_date=start_date, end_date=end_date, pick=columns, round_index=round_index, dropna=\\\"all\\\", source_units=source_units, target_units=target_units, clean=clean, por=por,\",\n \"http://matplotlib.org/api/markers_api.html style [optional, default is None] Still available, but if None is replaced\",\n \"# \\\"seaborn-muted\\\", # \\\"seaborn-notebook\\\", # \\\"seaborn-paper\\\", # \\\"seaborn-pastel\\\", # \\\"seaborn-poster\\\", # \\\"seaborn-talk\\\", #\",\n \"--type=\\\"norm_yaxis\\\" * For --lognorm_xaxis use --type=\\\"lognorm_xaxis\\\" * For --lognorm_yaxis use --type=\\\"lognorm_yaxis\\\" * \\\"\\\"\\\"\",\n \"on ``type``] Title of x-axis. ytitle : str [optional, default depends on ``type``]\",\n \"black. 4. Any of the HTML color names. +------------------+ | HTML Color Names\",\n \"or lognorm_xaxis is True or lognorm_yaxis is True ): warnings.warn( \\\"\\\"\\\" * *\",\n \"vlines_ymax=[float, [\\\"pass\\\", []], None], # vlines_colors=[str, [\\\"pass\\\", []], None], # vlines_linestyles=[ # str,\",\n \"to None] List of linestyles for the vertical lines. If a single linestyle\",\n \"hlines_y=hlines_y, hlines_xmin=hlines_xmin, hlines_xmax=hlines_xmax, hlines_colors=hlines_colors, hlines_linestyles=hlines_linestyles, vlines_x=vlines_x, vlines_ymin=vlines_ymin, vlines_ymax=vlines_ymax, vlines_colors=vlines_colors, vlines_linestyles=vlines_linestyles, ) # @tsutils.validator(\",\n \"on range of x values] Comma separated lower and upper limits for the\",\n \"value for the entire plot. vlines_colors: [optional, defaults to None] List of colors\",\n \"vlines_x=[float, [\\\"pass\\\", []], None], # vlines_ymin=[float, [\\\"pass\\\", []], None], # vlines_ymax=[float, [\\\"pass\\\", []],\",\n \"set the upper limit to 1000. ylim [optional, default is based on range\",\n \"separated matplotlib color codes, or within Python a list of color code strings.\",\n \"good value. Strips NANs from beginning and end. {force_freq} invert_xaxis [optional, default is\",\n \"| star | +-------+----------------+ | h | hexagon1 | +-------+----------------+ | H |\",\n \"\\\", \\\" \\\"] + plotutils.LINE_LIST], # None, # ], # ) def kde(\",\n \"if hlines_y is not None: hlines_y = tsutils.make_list(hlines_y) hlines_xmin = tsutils.make_list(hlines_xmin) hlines_xmax =\",\n \"to False] Make separate subplots for each time series. sharex [optional, default to\",\n \"for i in markerstyles] if colors is not None: icolors = itertools.cycle(colors) else:\",\n \"gray, however the \\\"ieee\\\" also will change the chart size to fit in\",\n \"invert_yaxis=invert_yaxis, round_index=round_index, plotting_position=plotting_position, prob_plot_sort_values=prob_plot_sort_values, source_units=source_units, target_units=target_units, lag_plot_lag=lag_plot_lag, plot_styles=plot_styles, hlines_y=hlines_y, hlines_xmin=hlines_xmin, hlines_xmax=hlines_xmax, hlines_colors=hlines_colors, hlines_linestyles=hlines_linestyles,\",\n \"estimation of the probability density function based on the data called kernel density\",\n \"Title of x-axis. ytitle : str [optional, default depends on ``type``] Title of\",\n \"# \\\"notebook\\\", # \\\"high-vis\\\", # \\\"bright\\\", # \\\"vibrant\\\", # \\\"muted\\\", # \\\"retro\\\", #\",\n \"[\\\"norm_xaxis\\\", \\\"lognorm_xaxis\\\", \\\"weibull_xaxis\\\"]: vlines_x = ppf(tsutils.make_list(vlines_x)) plt.vlines( vlines_x, vlines_ymin, vlines_ymax, colors=vlines_colors, linestyles=vlines_linestyles, )\",\n \"linestyle for all horizontal lines. If a list must be same length as\",\n \"more of Matplotlib styles \\\"classic\\\", \\\"Solarize_Light2\\\", \\\"bmh\\\", \\\"dark_background\\\", \\\"fast\\\", \\\"fivethirtyeight\\\", \\\"ggplot\\\", \\\"grayscale\\\", \\\"seaborn\\\",\",\n \"hexagon2 | +-------+----------------+ | ``+`` | plus | +-------+----------------+ | x | x\",\n \"# mark_right=[bool, [\\\"domain\\\", [True, False]], 1], # scatter_matrix_diagonal=[str, [\\\"domain\\\", [\\\"kde\\\", \\\"hist\\\"]], 1], #\",\n \"if vlines_x is not None: vlines_x = tsutils.make_list(vlines_x) vlines_ymin = tsutils.make_list(vlines_ymin) vlines_ymax =\",\n \"line in enumerate(ax.lines): if icolors is not None: c = next(icolors) else: c\",\n \"colors [optional, default is 'auto'] The default 'auto' will cycle through matplotlib colors\",\n \"Styles The styles \\\"seaborn-colorblind\\\", \\\"tableau-colorblind10\\\", \\\"bright\\\", \\\"vibrant\\\", and \\\"muted\\\" are all styles that\",\n \"SciencePlots styles: https://github.com/garrettj403/SciencePlots hlines_y: [optional, defaults to None] Number or list of y\",\n \"clean=False, skiprows=None, index_type=\\\"datetime\\\", names=None, ofilename=\\\"plot.png\\\", xtitle=\\\"\\\", ytitle=\\\"\\\", title=\\\"\\\", figsize=\\\"10,6.0\\\", legend=None, legend_names=None, subplots=False, sharex=True,\",\n \"defaults to 'plot.png'] Output filename for the plot. Extension defines the type, for\",\n \"== \\\"log\\\": logx = True if yaxis == \\\"log\\\": logy = True xlim\",\n \"[ # \\\"domain\\\", # [\\\"weibull\\\", \\\"benard\\\", \\\"tukey\\\", \\\"gumbel\\\", \\\"hazen\\\", \\\"cunnane\\\", \\\"california\\\"], # ],\",\n \"vertical lines. If a single color then will be used as the color\",\n \"x values for all vertical lines. A missing value or None will start\",\n \"x values for all horizontal lines. A missing value or None will start\",\n \"where N is a number from 0 to 9 that gets the Nth\",\n \"to 500] The number of random subsets of 'bootstrap_size'. norm_xaxis DEPRECATED: use '--type=\\\"norm_xaxis\\\"'\",\n \"\\\"seaborn-dark-palette\\\", # \\\"seaborn-darkgrid\\\", # \\\"seaborn-deep\\\", # \\\"seaborn-muted\\\", # \\\"seaborn-notebook\\\", # \\\"seaborn-paper\\\", # \\\"seaborn-pastel\\\",\",\n \"'auto'] The default 'auto' will cycle through matplotlib colors in the chosen style.\",\n \"for i in linestyles] markerstyles = [\\\" \\\" if i is None else\",\n \"None] Number or list of y values where to place a horizontal line.\",\n \"xy_match_line=xy_match_line, grid=grid, label_rotation=label_rotation, label_skip=label_skip, force_freq=force_freq, drawstyle=drawstyle, por=por, invert_xaxis=invert_xaxis, invert_yaxis=invert_yaxis, round_index=round_index, plotting_position=plotting_position, prob_plot_sort_values=prob_plot_sort_values, source_units=source_units,\",\n \"and * --lognorm_yaxis options are deprecated. * * For --logx use --xaxis=\\\"log\\\" *\",\n \"vlines_x is not None: vlines_x = tsutils.make_list(vlines_x) vlines_ymin = tsutils.make_list(vlines_ymin) vlines_ymax = tsutils.make_list(vlines_ymax)\",\n \"is 'default'] 'default' connects the points with lines. The steps variants produce step-plots.\",\n \"invert_yaxis [optional, default is False] Invert the y-axis. plotting_position : str [optional, default\",\n \"linestyles=vlines_linestyles, ) plt.xlabel(xtitle) plt.ylabel(ytitle) if invert_xaxis is True: plt.gca().invert_xaxis() if invert_yaxis is True:\",\n \"x values where to place a vertical line. vlines_ymin: [optional, defaults to None]\",\n \"is based on range of y values] Comma separated lower and upper limits\",\n \"is True or lognorm_yaxis is True ): warnings.warn( \\\"\\\"\\\" * * The --logx,\",\n \"], # 1, # ], # prob_plot_sort_values=[str, [\\\"domain\\\", [\\\"ascending\\\", \\\"descending\\\"]], 1], # plot_styles=[\",\n \"| +-----------------+-------------------+ | O | large circle | +-----------------+-------------------+ | . | dots\",\n \"norm_yaxis is True or lognorm_xaxis is True or lognorm_yaxis is True ): warnings.warn(\",\n \"to ' '] The default ' ' will not plot a marker. If\",\n \"'auto' will iterate through the available matplotlib line types. Otherwise on the command\",\n \"markerstyles = [] linestyles = [] for st in nstyle: colors.append(st[0]) if len(st)\",\n \"used if type equal to \\\"bar\\\", \\\"barh\\\", \\\"bar_stacked\\\", and \\\"barh_stacked\\\"] If 'auto' will\",\n \"= tsutils.make_list(vlines_x) vlines_ymin = tsutils.make_list(vlines_ymin) vlines_ymax = tsutils.make_list(vlines_ymax) vlines_colors = tsutils.make_list(vlines_colors) vlines_linestyles =\",\n \"+------------------+ | chartreuse | +------------------+ | ...etc. | +------------------+ Color reference: http://matplotlib.org/api/colors_api.html linestyles\",\n \"first good value to last good value. Strips NANs from beginning and end.\",\n \"\\\"IEEE\\\" journal. The \\\"grayscale\\\" is another style useful for photo-copyable black, white, nd\",\n \"diagonal | +-----------------+-------------------+ | o | small circle | +-----------------+-------------------+ | O |\",\n \"the 'style' keyword. +---------+--------------+ | Code | Lines | +=========+==============+ | ``-`` |\",\n \"\\\"vibrant\\\", and \\\"muted\\\" are all styles that are setup to be able to\",\n \"# por=[bool, [\\\"domain\\\", [True, False]], 1], # invert_xaxis=[bool, [\\\"domain\\\", [True, False]], 1], #\",\n \"defaults to 500] The number of random subsets of 'bootstrap_size'. norm_xaxis DEPRECATED: use\",\n \"example 'filename.png' will create a PNG file. If used within Python, and `ofilename`\",\n \"as np import pandas as pd from mando.rst_text_formatter import RSTHelpFormatter from tstoolbox import\",\n \"tsutils.make_list(style) if len(nstyle) != len(tsd.columns): raise ValueError( tsutils.error_wrapper( \\\"\\\"\\\" You have to have\",\n \"If used within Python, and `ofilename` is None will return the Matplotlib figure\",\n \"horizontal lines. A missing value or None will start at the minimum x\",\n \"+-------+----------------+ | h | hexagon1 | +-------+----------------+ | H | hexagon2 | +-------+----------------+\",\n \"str [optional, default is 'default'] 'default' connects the points with lines. The steps\",\n \"the linestyle for all vertical lines. If a list must be same length\",\n \"If a single number will be the maximum x value for all horizontal\",\n \"of style strings as time-series to plot. You supplied '{}' for style which\",\n \"vertical lines. A missing value or None will start at the minimum x\",\n \"* For --norm_xaxis use --type=\\\"norm_xaxis\\\" * For --norm_yaxis use --type=\\\"norm_yaxis\\\" * For --lognorm_xaxis\",\n \"take from the color pallette in the current plot style. vlines_linestyles: [optional, defaults\",\n \"diagonal. One of 'kde' for Kernel Density Estimation or 'hist' for a histogram.\",\n \"# style=[str, [\\\"pass\\\", []], None], # xlim=[float, [\\\"pass\\\", []], 2], # ylim=[float, [\\\"pass\\\",\",\n \"[\\\" \\\" if i is None else i for i in markerstyles] if\",\n \"is True: plt.legend(loc=\\\"best\\\") if hlines_y is not None: hlines_y = tsutils.make_list(hlines_y) hlines_xmin =\",\n \"instead of using the 'style' keyword. +-------+----------------+ | Code | Markers | +=======+================+\",\n \"old option defaults with the implementation of # mando legend = bool(legend ==\",\n \"end at the maximum x value for the entire plot. hlines_colors: [optional, defaults\",\n \"False]], 1], # invert_xaxis=[bool, [\\\"domain\\\", [True, False]], 1], # invert_yaxis=[bool, [\\\"domain\\\", [True, False]],\",\n \"# \\\"domain\\\", # [\\\"weibull\\\", \\\"benard\\\", \\\"tukey\\\", \\\"gumbel\\\", \\\"hazen\\\", \\\"cunnane\\\", \\\"california\\\"], # ], #\",\n \"plotutils.know_your_limits(xlim, axis=xaxis) ylim = plotutils.know_your_limits(ylim, axis=yaxis) plot_styles = tsutils.make_list(plot_styles) + [\\\"no-latex\\\"] style_loc =\",\n \"on the major ticks. label_rotation : int [optional] Rotation for major labels for\",\n \"if vlines_ymax is None: vlines_ymax = nylim[1] if type in [ \\\"time\\\", \\\"xy\\\",\",\n \"d | thin diamond | +-------+----------------+ | _ | hlines_y | +-------+----------------+ |\",\n \"True or lognorm_yaxis is True ): warnings.warn( \\\"\\\"\\\" * * The --logx, --logy,\",\n \"| ' ' | draw nothing | +---------+--------------+ | '' | draw nothing\",\n \"| hlines_y | +-------+----------------+ | None | nothing | +-------+----------------+ | ' '\",\n \"None] List of colors for the vertical lines. If a single color then\",\n \"to place a vertical line. vlines_ymin: [optional, defaults to None] List of minimum\",\n \"0 to 9 that gets the Nth color from the current style. 2.\",\n \"[]], 1], # title=[str, [\\\"pass\\\", []], 1], # figsize=[float, [\\\"range\\\", [0, None]], 2],\",\n \"In case subplots=True, share y axis. colors [optional, default is 'auto'] The default\",\n \"be same length as `vlines_x`. If a single number will be used as\",\n \"**kwds, ): r\\\"\\\"\\\"Plot data.\\\"\\\"\\\" # Need to work around some old option defaults\",\n \"| < | triangle left | +-------+----------------+ | > | triangle right |\",\n \"axis. sharey [optional, default to False] In case subplots=True, share y axis. colors\",\n \"to \\\"auto\\\", only used if type equal to \\\"bar\\\", \\\"barh\\\", \\\"bar_stacked\\\", and \\\"barh_stacked\\\"]\",\n \"data and set the upper limit to 1000. ylim [optional, default is based\",\n \"the upper limit to 1000. ylim [optional, default is based on range of\",\n \"| D | diamond | +-------+----------------+ | d | thin diamond | +-------+----------------+\",\n \"[\\\"domain\\\", [\\\"arithmetic\\\", \\\"log\\\"]], 1], # secondary_y=[bool, [\\\"domain\\\", [True, False]], 1], # mark_right=[bool, [\\\"domain\\\",\",\n \"density function. \\\"kde\\\" will create a plot of estimation of the probability density\",\n \"of functions for the manipulation of time series.\\\"\\\"\\\" from __future__ import absolute_import, division,\",\n \"command line a comma separated list, or a list of strings if using\",\n \"ytitle : str [optional, default depends on ``type``] Title of y-axis. title :\",\n \"colors=vlines_colors, linestyles=vlines_linestyles, ) plt.xlabel(xtitle) plt.ylabel(ytitle) if invert_xaxis is True: plt.gca().invert_xaxis() if invert_yaxis is\",\n \"[\\\"pass\\\", []], None], # hlines_xmax=[float, [\\\"pass\\\", []], None], # hlines_colors=[str, [\\\"pass\\\", []], None],\",\n \"supply a comma separated matplotlib color codes, or within Python a list of\",\n \"# \\\"seaborn-notebook\\\", # \\\"seaborn-paper\\\", # \\\"seaborn-pastel\\\", # \\\"seaborn-poster\\\", # \\\"seaborn-talk\\\", # \\\"seaborn-ticks\\\", #\",\n \"current plot style. vlines_linestyles: [optional, defaults to None] List of linestyles for the\",\n \"the others. Comma separated matplotlib style strings per time-series. Just combine codes in\",\n \"'bootstrap' plot. bootstrap_samples [optional, defaults to 500] The number of random subsets of\",\n \"and weibull_yaxis. {columns} {start_date} {end_date} {clean} {skiprows} {index_type} {names} {source_units} {target_units} {round_index} plot_styles:\",\n \"code. Separated 'colors', 'linestyles', and 'markerstyles' instead of using the 'style' keyword. +---------+--------------+\",\n \"hlines_y: [optional, defaults to None] Number or list of y values where to\",\n \"to \\\"bar\\\", \\\"barh\\\", \\\"bar_stacked\\\", and \\\"barh_stacked\\\"] If 'auto' will iterate through the available\",\n \"If a single color then will be used as the color for all\",\n \"* The --logx, --logy, --norm_xaxis, --norm_yaxis, --lognorm_xaxis, and * --lognorm_yaxis options are deprecated.\",\n \"[optional, default is 'auto'] The default 'auto' will cycle through matplotlib colors in\",\n \"= \\\"({})\\\".format(pltfreq[beginstr:-1]) except AttributeError: short_freq = \\\"\\\" if colors == \\\"auto\\\": colors =\",\n \"[\\\"pass\\\", []], None], # hlines_xmin=[float, [\\\"pass\\\", []], None], # hlines_xmax=[float, [\\\"pass\\\", []], None],\",\n \"legend=legend, legend_names=legend_names, subplots=subplots, sharex=sharex, sharey=sharey, colors=colors, linestyles=linestyles, markerstyles=markerstyles, bar_hatchstyles=bar_hatchstyles, style=style, logx=logx, logy=logy, xaxis=xaxis,\",\n \"next(icolors) else: c = None if imarkerstyles is not None: m = next(imarkerstyles)\",\n \"'markerstyles' instead of using the 'style' keyword. +-------+----------------+ | Code | Markers |\",\n \"[optional, defaults to None] List of linestyles for the vertical lines. If a\",\n \"a single linestyle then will be used as the linestyle for all horizontal\",\n \"list. \\\"\\\"\\\" plt = kde( input_ts=input_ts, columns=columns, start_date=start_date, end_date=end_date, clean=clean, skiprows=skiprows, index_type=index_type, names=names,\",\n \"# secondary_y=[bool, [\\\"domain\\\", [True, False]], 1], # mark_right=[bool, [\\\"domain\\\", [True, False]], 1], #\",\n \"to True] In case subplots=True, share x axis. sharey [optional, default to False]\",\n \"# \\\"fast\\\", # \\\"fivethirtyeight\\\", # \\\"ggplot\\\", # \\\"grayscale\\\", # \\\"seaborn\\\", # \\\"seaborn-bright\\\", #\",\n \") plt.xlabel(xtitle) plt.ylabel(ytitle) if invert_xaxis is True: plt.gca().invert_xaxis() if invert_yaxis is True: plt.gca().invert_yaxis()\",\n \"someone with color blindness. Black, White, and Gray Styles The \\\"ieee\\\" style is\",\n \"\\\" \\\"] + plotutils.LINE_LIST], # None, # ], # ) def kde( input_ts=\\\"-\\\",\",\n \"linestyles.append(\\\" \\\") else: markerstyles.append(\\\" \\\") linestyles.append(st[1:]) if linestyles is None: linestyles = [\\\"\",\n \"or all of the characteristics of the previous. Color Blind Appropriate Styles The\",\n \"Lines | +=========+==============+ | ``-`` | solid | +---------+--------------+ | -- | dashed\",\n \"good value to last good value. Strips NANs from beginning and end. {force_freq}\",\n \"draw nothing | +---------+--------------+ Line reference: http://matplotlib.org/api/artist_api.html markerstyles [optional, default to ' ']\",\n \"the xaxis. One of 'arithmetic', 'log'. yaxis : str [optional, default is 'arithmetic']\",\n \"Defines the type of the xaxis. One of 'arithmetic', 'log'. yaxis : str\",\n \"of colors for the horizontal lines. If a single color then will be\",\n \"red | +------------------+ | burlywood | +------------------+ | chartreuse | +------------------+ | ...etc.\",\n \"N is a number from 0 to 9 that gets the Nth color\",\n \"is True] When using a secondary_y axis, should the legend label the axis\",\n \"None], # hlines_xmax=[float, [\\\"pass\\\", []], None], # hlines_colors=[str, [\\\"pass\\\", []], None], # hlines_linestyles=[\",\n \"on the data called kernel density estimation (KDE). {ydata} Parameters ---------- {input_ts} ofilename\",\n \"types. Otherwise on the command line a comma separated list, or a list\",\n \"+-------+----------------+ | _ | hlines_y | +-------+----------------+ | None | nothing | +-------+----------------+\",\n \"be same length as `vlines_x`. If a single number will be the maximum\",\n \"linestyle code. Separated 'colors', 'linestyles', and 'markerstyles' instead of using the 'style' keyword.\",\n \"for each time series. sharex [optional, default to True] In case subplots=True, share\",\n \"drawstyle : str [optional, default is 'default'] 'default' connects the points with lines.\",\n \"plotutils.MARKER_LIST else: markerstyles = tsutils.make_list(markerstyles) if markerstyles is None: markerstyles = \\\" \\\"\",\n \"star marker. bar_hatchstyles [optional, default to \\\"auto\\\", only used if type equal to\",\n \"a list must be same length as `vlines_x`. If None will take for\",\n \"True xlim = plotutils.know_your_limits(xlim, axis=xaxis) ylim = plotutils.know_your_limits(ylim, axis=yaxis) plot_styles = tsutils.make_list(plot_styles) +\",\n \"`vlines_x`. If None will take for the standard linestyles list. \\\"\\\"\\\" plt =\",\n \"# \\\"seaborn-darkgrid\\\", # \\\"seaborn-deep\\\", # \\\"seaborn-muted\\\", # \\\"seaborn-notebook\\\", # \\\"seaborn-paper\\\", # \\\"seaborn-pastel\\\", #\",\n \"ofilename=\\\"plot.png\\\", xtitle=\\\"\\\", ytitle=\\\"\\\", title=\\\"\\\", figsize=\\\"10,6.0\\\", legend=None, legend_names=None, subplots=False, sharex=True, sharey=False, colors=\\\"auto\\\", linestyles=\\\"auto\\\", markerstyles=\\\"\",\n \"Rotation for major labels for bar plots. label_skip : int [optional] Skip for\",\n \"and barh_stacked. ibar_hatchstyles = itertools.cycle(bar_hatchstyles) if ( logx is True or logy is\",\n \"use --type=\\\"norm_yaxis\\\" * For --lognorm_xaxis use --type=\\\"lognorm_xaxis\\\" * For --lognorm_yaxis use --type=\\\"lognorm_yaxis\\\" *\",\n \"--type=\\\"lognorm_xaxis\\\" * For --lognorm_yaxis use --type=\\\"lognorm_yaxis\\\" * \\\"\\\"\\\" ) if xaxis == \\\"log\\\":\",\n \"probability density function. \\\"kde\\\" will create a plot of estimation of the probability\",\n \"'--type=\\\"norm_xaxis\\\"' instead. norm_yaxis DEPRECATED: use '--type=\\\"norm_yaxis\\\"' instead. lognorm_xaxis DEPRECATED: use '--type=\\\"lognorm_xaxis\\\"' instead. lognorm_yaxis\",\n \"minimum x values for all horizontal lines. A missing value or None will\",\n \"defaults to None] List of linestyles for the horizontal lines. If a single\",\n \"| 3 | tri_left | +-------+----------------+ | 4 | tri_right | +-------+----------------+ |\",\n \"beginstr = 3 else: beginstr = 1 if pltfreq == \\\"none\\\": short_freq =\",\n \"must be same length as `vlines_x`. If a single number will be used\",\n \"+---------+--------------+ | None | draw nothing | +---------+--------------+ | ' ' | draw\",\n \"os.path.join(style_loc, i + \\\".mplstyle\\\") if os.path.exists(os.path.join(style_loc, i + \\\".mplstyle\\\")) else i for i\",\n \"defaults to ''] Title of chart. figsize : str [optional, defaults to '10,6.5']\",\n \"plt.ylabel(ytitle) if invert_xaxis is True: plt.gca().invert_xaxis() if invert_yaxis is True: plt.gca().invert_yaxis() plt.grid(grid) plt.title(title)\",\n \"hlines_xmin = nxlim[0] if hlines_xmax is None: hlines_xmax = nxlim[1] if vlines_x is\",\n \"\\\"retro\\\". If multiple styles then each over rides some or all of the\",\n \"kernel density estimation (KDE). {ydata} Parameters ---------- {input_ts} ofilename : str [optional, defaults\",\n \"vlines_ymax=None, vlines_colors=None, vlines_linestyles=\\\"-\\\", **kwds, ): r\\\"\\\"\\\"Plot data.\\\"\\\"\\\" # Need to work around some\",\n \"markerstyles is None: markerstyles = \\\" \\\" if style != \\\"auto\\\": nstyle =\",\n \"random subset for 'bootstrap' plot. bootstrap_samples [optional, defaults to 500] The number of\",\n \"`ofilename` is None will return the Matplotlib figure that can then be changed\",\n \"= plotutils.check(type, tsd, legend_names) # This is to help pretty print the frequency\",\n \"None will return the Matplotlib figure that can then be changed or added\",\n \"If a single number will be used as the minimum x values for\",\n \"be used as the linestyle for all horizontal lines. If a list must\",\n \"# hlines_y=[float, [\\\"pass\\\", []], None], # hlines_xmin=[float, [\\\"pass\\\", []], None], # hlines_xmax=[float, [\\\"pass\\\",\",\n \"else: colors = tsutils.make_list(colors) if linestyles == \\\"auto\\\": linestyles = plotutils.LINE_LIST else: linestyles\",\n \"\\\"domain\\\", # [\\\"weibull\\\", \\\"benard\\\", \\\"tukey\\\", \\\"gumbel\\\", \\\"hazen\\\", \\\"cunnane\\\", \\\"california\\\"], # ], # 1,\",\n \"| -. | dash_dot | +---------+--------------+ | : | dotted | +---------+--------------+ |\",\n \"the plot. One or more of Matplotlib styles \\\"classic\\\", \\\"Solarize_Light2\\\", \\\"bmh\\\", \\\"dark_background\\\", \\\"fast\\\",\",\n \"--logx, --logy, --norm_xaxis, --norm_yaxis, --lognorm_xaxis, and * --lognorm_yaxis options are deprecated. * *\",\n \"plot. You supplied '{}' for style which has {} style strings, but you\",\n \"place a vertical line. vlines_ymin: [optional, defaults to None] List of minimum y\",\n \"nothing | +-------+----------------+ | ' ' | nothing | +-------+----------------+ | '' |\",\n \"sort the values for the probability plots. Only used for norm_xaxis, norm_yaxis, lognorm_xaxis,\",\n \"[]], None], # hlines_xmin=[float, [\\\"pass\\\", []], None], # hlines_xmax=[float, [\\\"pass\\\", []], None], #\",\n \"separate subplots for each time series. sharex [optional, default to True] In case\",\n \"as needed. lag_plot_lag [optional, default to 1] The lag used if ``type`` \\\"lag_plot\\\"\",\n \"\\\"seaborn-pastel\\\", \\\"seaborn-poster\\\", \\\"seaborn-talk\\\", \\\"seaborn-ticks\\\", \\\"seaborn-white\\\", \\\"seaborn-whitegrid\\\", \\\"tableau-colorblind10\\\", and SciencePlots styles \\\"science\\\", \\\"grid\\\", \\\"ieee\\\",\",\n \"will be the maximum x value for all horizontal lines. A missing value\",\n \"# markerstyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.MARKER_LIST], None],\",\n \"from the color pallette in the current plot style. hlines_linestyles: [optional, defaults to\",\n \"[\\\"pass\\\", []], 1], # subplots=[bool, [\\\"domain\\\", [True, False]], 1], # sharex=[bool, [\\\"domain\\\", [True,\",\n \"# \\\"seaborn\\\", # \\\"seaborn-bright\\\", # \\\"seaborn-colorblind\\\", # \\\"seaborn-dark\\\", # \\\"seaborn-dark-palette\\\", # \\\"seaborn-darkgrid\\\", #\",\n \"plot_styles = tsutils.make_list(plot_styles) + [\\\"no-latex\\\"] style_loc = os.path.join( os.path.dirname(__file__), os.pardir, \\\"SciencePlots_styles\\\" ) plot_styles\",\n \"for major labels for bar plots. drawstyle : str [optional, default is 'default']\",\n \"help pretty print the frequency try: try: pltfreq = str(tsd.index.freq, \\\"utf-8\\\").lower() except TypeError:\",\n \"'steps' | 'steps-pre' | 'steps-mid' | 'steps-post'] por [optional] Plot from first good\",\n \"of the characteristics of the previous. Color Blind Appropriate Styles The styles \\\"seaborn-colorblind\\\",\",\n \"maximum x value for all vertical lines. A missing value or None will\",\n \"'linestyles', and 'markerstyles' instead of using the 'style' keyword. +---------+--------------+ | Code |\",\n \"'steps-mid' | 'steps-post'] por [optional] Plot from first good value to last good\",\n \"linestyles list. vlines_x: [optional, defaults to None] List of x values where to\",\n \"use --type=\\\"lognorm_xaxis\\\" * For --lognorm_yaxis use --type=\\\"lognorm_yaxis\\\" * \\\"\\\"\\\" ) if xaxis ==\",\n \"\\\"domain\\\", # [ # \\\"classic\\\", # \\\"Solarize_Light2\\\", # \\\"bmh\\\", # \\\"dark_background\\\", # \\\"fast\\\",\",\n \"| back diagonal | +-----------------+-------------------+ | ``|`` | vertical | +-----------------+-------------------+ | -\",\n \"matplotlib marker types. Otherwise on the command line a comma separated list, or\",\n \"red | +------+---------+ | c | cyan | +------+---------+ | m | magenta\",\n \"upper limits for the y-axis of the plot. See `xlim` for examples. xaxis\",\n \"iterate through the available matplotlib marker types. Otherwise on the command line a\",\n \"None else: colors = tsutils.make_list(colors) if linestyles == \\\"auto\\\": linestyles = plotutils.LINE_LIST else:\",\n \"use --type=\\\"norm_xaxis\\\" * For --norm_yaxis use --type=\\\"norm_yaxis\\\" * For --lognorm_xaxis use --type=\\\"lognorm_xaxis\\\" *\",\n \"the entire plot. hlines_colors: [optional, defaults to None] List of colors for the\",\n \"is not None: if type in [\\\"norm_xaxis\\\", \\\"lognorm_xaxis\\\", \\\"weibull_xaxis\\\"]: vlines_x = ppf(tsutils.make_list(vlines_x)) plt.vlines(\",\n \"of strings if using the Python API. +-----------------+-------------------+ | bar_hatchstyles | Description |\",\n \"[\\\"domain\\\", [\\\"kde\\\", \\\"hist\\\"]], 1], # bootstrap_size=[int, [\\\"range\\\", [0, None]], 1], # xy_match_line=[str, [\\\"pass\\\",\",\n \"| dotted | +---------+--------------+ | None | draw nothing | +---------+--------------+ | '\",\n \"to override the names in the data set. You must supply a comma\",\n \"\\\"seaborn-whitegrid\\\", # \\\"tableau-colorblind10\\\", # \\\"science\\\", # \\\"grid\\\", # \\\"ieee\\\", # \\\"scatter\\\", # \\\"notebook\\\",\",\n \"| +-------+----------------+ | 4 | tri_right | +-------+----------------+ | 8 | octagon |\",\n \"| h | hexagon1 | +-------+----------------+ | H | hexagon2 | +-------+----------------+ |\",\n \"+=========+==============+ | ``-`` | solid | +---------+--------------+ | -- | dashed | +---------+--------------+\",\n \"import numpy as np import pandas as pd from mando.rst_text_formatter import RSTHelpFormatter from\",\n \"[True, False]], 1], # legend_names=[str, [\\\"pass\\\", []], 1], # subplots=[bool, [\\\"domain\\\", [True, False]],\",\n \"secondary_y [optional, default is False] Whether to plot on the secondary y-axis. If\",\n \"= next(ilinestyles) else: l = None if c is not None: plt.setp(line, color=c)\",\n \"DEPRECATED: use '--type=\\\"norm_xaxis\\\"' instead. norm_yaxis DEPRECATED: use '--type=\\\"norm_yaxis\\\"' instead. lognorm_xaxis DEPRECATED: use '--type=\\\"lognorm_xaxis\\\"'\",\n \"the plot from 1 to 1000, where '--xlim ,1000' would base the lower\",\n \"bar_hatchstyles=bar_hatchstyles, style=style, logx=logx, logy=logy, xaxis=xaxis, yaxis=yaxis, xlim=xlim, ylim=ylim, secondary_y=secondary_y, mark_right=mark_right, scatter_matrix_diagonal=scatter_matrix_diagonal, bootstrap_size=bootstrap_size, bootstrap_samples=bootstrap_samples,\",\n \"various time-series automatically. scatter_matrix_diagonal : str [optional, defaults to 'kde'] If plot type\",\n \"in four different ways. 1. Use 'CN' where N is a number from\",\n \"[optional, defaults to 500] The number of random subsets of 'bootstrap_size'. norm_xaxis DEPRECATED:\",\n \"\\\"\\\"\\\"Collection of functions for the manipulation of time series.\\\"\\\"\\\" from __future__ import absolute_import,\",\n \"r\\\"\\\"\\\"Plot data.\\\"\\\"\\\" # Need to work around some old option defaults with the\",\n \"tsutils.make_list(hlines_y) hlines_xmin = tsutils.make_list(hlines_xmin) hlines_xmax = tsutils.make_list(hlines_xmax) hlines_colors = tsutils.make_list(hlines_colors) hlines_linestyles = tsutils.make_list(hlines_linestyles)\",\n \"# vlines_linestyles=[ # str, # [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"]\",\n \"list must be same length as `vlines_x`. If a single number will be\",\n \"(2 day) short_freq = \\\"({})\\\".format(pltfreq[beginstr:-1]) except AttributeError: short_freq = \\\"\\\" if colors ==\",\n \"default to False] In case subplots=True, share y axis. colors [optional, default is\",\n \"500] The number of random subsets of 'bootstrap_size'. norm_xaxis DEPRECATED: use '--type=\\\"norm_xaxis\\\"' instead.\",\n \"number from 0 to 9 that gets the Nth color from the current\",\n \"weibull_xaxis, and weibull_yaxis. {columns} {start_date} {end_date} {clean} {skiprows} {index_type} {names} {source_units} {target_units} {round_index}\",\n \"[optional, defaults to None] List of maximum x values to end each vertical\",\n \"Plot from first good value to last good value. Strips NANs from beginning\",\n \"False]], 1], # plotting_position=[ # str, # [ # \\\"domain\\\", # [\\\"weibull\\\", \\\"benard\\\",\",\n \"a list of strings if using the Python API. Separated 'colors', 'linestyles', and\",\n \"secondary_y axis, should the legend label the axis of the various time-series automatically.\",\n \"is 'scatter_matrix', this specifies the plot along the diagonal. One of 'kde' for\",\n \"in the chosen style. At the command line supply a comma separated matplotlib\",\n \"\\\" \\\"] + plotutils.MARKER_LIST], None], # bar_hatchstyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\",\",\n \"if hlines_y is not None: if type in [\\\"norm_yaxis\\\", \\\"lognorm_yaxis\\\", \\\"weibull_yaxis\\\"]: hlines_y =\",\n \"yaxis=yaxis, xlim=xlim, ylim=ylim, secondary_y=secondary_y, mark_right=mark_right, scatter_matrix_diagonal=scatter_matrix_diagonal, bootstrap_size=bootstrap_size, bootstrap_samples=bootstrap_samples, norm_xaxis=norm_xaxis, norm_yaxis=norm_yaxis, lognorm_xaxis=lognorm_xaxis, lognorm_yaxis=lognorm_yaxis, xy_match_line=xy_match_line,\",\n \"You supplied '{}' for style which has {} style strings, but you have\",\n \"a horizontal line. hlines_xmin: [optional, defaults to None] List of minimum x values\",\n \"str, # [ # \\\"domain\\\", # [ # \\\"classic\\\", # \\\"Solarize_Light2\\\", # \\\"bmh\\\",\",\n \"not None: icolors = itertools.cycle(colors) else: icolors = None imarkerstyles = itertools.cycle(markerstyles) ilinestyles\",\n \"plt.style.use(plot_styles) figsize = tsutils.make_list(figsize, n=2) _, ax = plt.subplots(figsize=figsize) if type in [\\\"kde\\\",\",\n \"vlines_ymin, vlines_ymax, colors=vlines_colors, linestyles=vlines_linestyles, ) plt.xlabel(xtitle) plt.ylabel(ytitle) if invert_xaxis is True: plt.gca().invert_xaxis() if\",\n \"single linestyle then will be used as the linestyle for all vertical lines.\",\n \"50] The size of the random subset for 'bootstrap' plot. bootstrap_samples [optional, defaults\",\n \"\\\"seaborn-white\\\", # \\\"seaborn-whitegrid\\\", # \\\"tableau-colorblind10\\\", # \\\"science\\\", # \\\"grid\\\", # \\\"ieee\\\", # \\\"scatter\\\",\",\n \"plot. hlines_colors: [optional, defaults to None] List of colors for the horizontal lines.\",\n \"equal to \\\"bar\\\", \\\"barh\\\", \\\"bar_stacked\\\", and \\\"barh_stacked\\\"] If 'auto' will iterate through the\",\n \"' ' will not plot a marker. If 'auto' will iterate through the\",\n \"[]], None], # vlines_colors=[str, [\\\"pass\\\", []], None], # vlines_linestyles=[ # str, # [\\\"domain\\\",\",\n \"ytitle or \\\"Density\\\" if legend is True: plt.legend(loc=\\\"best\\\") if hlines_y is not None:\",\n \"triangle up | +-------+----------------+ | < | triangle left | +-------+----------------+ | >\",\n \"True or logy is True or norm_xaxis is True or norm_yaxis is True\",\n \"is None else i for i in markerstyles] if colors is not None:\",\n \"If 'auto' will iterate through the available matplotlib line types. Otherwise on the\",\n \"some or all of the characteristics of the previous. Color Blind Appropriate Styles\",\n \"{clean} {skiprows} {index_type} {names} {source_units} {target_units} {round_index} plot_styles: str [optional, default is \\\"default\\\"]\",\n \"'kde'] If plot type is 'scatter_matrix', this specifies the plot along the diagonal.\",\n \"default depends on ``type``] Title of y-axis. title : str [optional, defaults to\",\n \"if icolors is not None: c = next(icolors) else: c = None if\",\n \"+------------------+ Color reference: http://matplotlib.org/api/colors_api.html linestyles [optional, default to 'auto'] If 'auto' will iterate\",\n \"+---------+--------------+ | -. | dash_dot | +---------+--------------+ | : | dotted | +---------+--------------+\",\n \"| +-----------------+-------------------+ | . | dots | +-----------------+-------------------+ | * | stars |\",\n \"[ \\\"time\\\", \\\"xy\\\", \\\"bar\\\", \\\"bar_stacked\\\", \\\"histogram\\\", \\\"norm_xaxis\\\", \\\"lognorm_xaxis\\\", \\\"weibull_xaxis\\\", \\\"norm_yaxis\\\", \\\"lognorm_yaxis\\\", \\\"weibull_yaxis\\\", ]:\",\n \"data set. subplots [optional, defaults to False] Make separate subplots for each time\",\n \"the horizontal line. If a list must be same length as `hlines_y`. If\",\n \"# \\\"grid\\\", # \\\"ieee\\\", # \\\"scatter\\\", # \\\"notebook\\\", # \\\"high-vis\\\", # \\\"bright\\\", #\",\n \"'weibull'] {plotting_position_table} Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. prob_plot_sort_values\",\n \"| +-------+----------------+ | x | x | +-------+----------------+ | D | diamond |\",\n \"None will end at the maximum x value for the entire plot. vlines_colors:\",\n \"up | +-------+----------------+ | < | triangle left | +-------+----------------+ | > |\",\n \"if i is None else i for i in markerstyles] if colors is\",\n \": str [optional, defaults to None] Legend would normally use the time-series names\",\n \"a space (' ') as the linestyle code. Separated 'colors', 'linestyles', and 'markerstyles'\",\n \"None: hlines_y = tsutils.make_list(hlines_y) hlines_xmin = tsutils.make_list(hlines_xmin) hlines_xmax = tsutils.make_list(hlines_xmax) hlines_colors = tsutils.make_list(hlines_colors)\",\n \"plot. hlines_xmax: [optional, defaults to None] List of maximum x values to end\",\n \"the 'style' option will override the others. Comma separated matplotlib style strings per\",\n \"colors for the horizontal lines. If a single color then will be used\",\n \"will return the Matplotlib figure that can then be changed or added to\",\n \"names associated with the input data. The 'legend_names' option allows you to override\",\n \"number will be used as the minimum x values for all horizontal lines.\",\n \"diagonal | +-----------------+-------------------+ | ``|`` | vertical | +-----------------+-------------------+ | - | horizontal\",\n \"target_units=None, lag_plot_lag=1, plot_styles=\\\"bright\\\", hlines_y=None, hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\\\"-\\\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\\\"-\\\",\",\n \"except IndexError: linestyles.append(\\\" \\\") else: markerstyles.append(\\\" \\\") linestyles.append(st[1:]) if linestyles is None: linestyles\",\n \"figsize=\\\"10,6.0\\\", legend=None, legend_names=None, subplots=False, sharex=True, sharey=False, colors=\\\"auto\\\", linestyles=\\\"auto\\\", markerstyles=\\\" \\\", bar_hatchstyles=\\\"auto\\\", style=\\\"auto\\\", logx=False,\",\n \"hlines_xmax=[float, [\\\"pass\\\", []], None], # hlines_colors=[str, [\\\"pass\\\", []], None], # hlines_linestyles=[ # str,\",\n \"[\\\"pass\\\", []], None], # xlim=[float, [\\\"pass\\\", []], 2], # ylim=[float, [\\\"pass\\\", []], 2],\",\n \"markerstyles [optional, default to ' '] The default ' ' will not plot\",\n \"or a list of strings if using the Python API. Separated 'colors', 'linestyles',\",\n \"stars | +-----------------+-------------------+ logx DEPRECATED: use '--xaxis=\\\"log\\\"' instead. logy DEPRECATED: use '--yaxis=\\\"log\\\"' instead.\",\n \"# bootstrap_size=[int, [\\\"range\\\", [0, None]], 1], # xy_match_line=[str, [\\\"pass\\\", []], 1], # grid=[bool,\",\n \"instead. logy DEPRECATED: use '--yaxis=\\\"log\\\"' instead. xlim [optional, default is based on range\",\n \"legend=legend, subplots=subplots, sharex=sharex, sharey=sharey, style=None, logx=logx, logy=logy, xlim=xlim, ylim=ylim, secondary_y=secondary_y, figsize=figsize, ) for\",\n \"plt.title(title) plt.tight_layout() if ofilename is not None: plt.savefig(ofilename) return plt kde.__doc__ = kde_cli.__doc__\",\n \"import mando import numpy as np import pandas as pd from mando.rst_text_formatter import\",\n \"limits for the x-axis of the plot. For example, '--xlim 1,1000' would limit\",\n \"for the manipulation of time series.\\\"\\\"\\\" from __future__ import absolute_import, division, print_function import\",\n \"from 0 to 9 that gets the Nth color from the current style.\",\n \"vlines_ymin=vlines_ymin, vlines_ymax=vlines_ymax, vlines_colors=vlines_colors, vlines_linestyles=vlines_linestyles, ) # @tsutils.validator( # ofilename=[str, [\\\"pass\\\", []], 1], #\",\n \"must supply a comma separated list of strings for each time-series in the\",\n \"default is 'auto'] The default 'auto' will cycle through matplotlib colors in the\",\n \"| None | draw nothing | +---------+--------------+ | ' ' | draw nothing\",\n \"a single number will be the maximum x value for all horizontal lines.\",\n \"number of random subsets of 'bootstrap_size'. norm_xaxis DEPRECATED: use '--type=\\\"norm_xaxis\\\"' instead. norm_yaxis DEPRECATED:\",\n \"of linestyles for the vertical lines. If a single linestyle then will be\",\n \"styles \\\"seaborn-colorblind\\\", \\\"tableau-colorblind10\\\", \\\"bright\\\", \\\"vibrant\\\", and \\\"muted\\\" are all styles that are setup\",\n \"https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_reference.html SciencePlots styles: https://github.com/garrettj403/SciencePlots hlines_y: [optional, defaults to None] Number or list of\",\n \"will be used as the minimum x values for all horizontal lines. A\",\n \"[\\\" \\\" if i in [\\\" \\\", None] else i for i in\",\n \"marker types. Otherwise on the command line a comma separated list, or a\",\n \"plt.grid(grid) plt.title(title) plt.tight_layout() if ofilename is not None: plt.savefig(ofilename) return plt kde.__doc__ =\",\n \"Python API. Separated 'colors', 'linestyles', and 'markerstyles' instead of using the 'style' keyword.\",\n \"'style' option will override the others. Comma separated matplotlib style strings per time-series.\",\n \"List of maximum x values to end each horizontal line. If a list\",\n \"= os.path.join( os.path.dirname(__file__), os.pardir, \\\"SciencePlots_styles\\\" ) plot_styles = [ os.path.join(style_loc, i + \\\".mplstyle\\\")\",\n \"None: icolors = itertools.cycle(colors) else: icolors = None imarkerstyles = itertools.cycle(markerstyles) ilinestyles =\",\n \"import tsutils from .. import plotutils warnings.filterwarnings(\\\"ignore\\\") @mando.command(\\\"kde\\\", formatter_class=RSTHelpFormatter, doctype=\\\"numpy\\\") @tsutils.doc(plotutils.ldocstrings) def kde_cli(\",\n \"value for the entire plot. vlines_ymax: [optional, defaults to None] List of maximum\",\n \"= [\\\" \\\" if i in [\\\" \\\", None] else i for i\",\n \"as `vlines_x`. If a single number will be used as the minimum x\",\n \"], # hlines_y=[float, [\\\"pass\\\", []], None], # hlines_xmin=[float, [\\\"pass\\\", []], None], # hlines_xmax=[float,\",\n \"logy=logy, xlim=xlim, ylim=ylim, secondary_y=secondary_y, figsize=figsize, ) for index, line in enumerate(ax.lines): if icolors\",\n \"plotting_position=plotting_position, prob_plot_sort_values=prob_plot_sort_values, source_units=source_units, target_units=target_units, lag_plot_lag=lag_plot_lag, plot_styles=plot_styles, hlines_y=hlines_y, hlines_xmin=hlines_xmin, hlines_xmax=hlines_xmax, hlines_colors=hlines_colors, hlines_linestyles=hlines_linestyles, vlines_x=vlines_x, vlines_ymin=vlines_ymin,\",\n \"default is 'descending'] How to sort the values for the probability plots. Only\",\n \"'ColorMarkerLine' order, for example 'r*--' is a red dashed line with star marker.\",\n \"https://github.com/garrettj403/SciencePlots hlines_y: [optional, defaults to None] Number or list of y values where\",\n \"-*- coding: utf-8 -*- \\\"\\\"\\\"Collection of functions for the manipulation of time series.\\\"\\\"\\\"\",\n \"[ os.path.join(style_loc, i + \\\".mplstyle\\\") if os.path.exists(os.path.join(style_loc, i + \\\".mplstyle\\\")) else i for\",\n \"of the previous. Color Blind Appropriate Styles The styles \\\"seaborn-colorblind\\\", \\\"tableau-colorblind10\\\", \\\"bright\\\", \\\"vibrant\\\",\",\n \"nxlim = ax.get_xlim() if hlines_xmin is None: hlines_xmin = nxlim[0] if hlines_xmax is\",\n \"a plot of estimation of the probability density function based on the data\",\n \"data.\\\"\\\"\\\" # Need to work around some old option defaults with the implementation\",\n \"= \\\"kde\\\" import matplotlib matplotlib.use(\\\"Agg\\\") import matplotlib.pyplot as plt from matplotlib.ticker import FixedLocator\",\n \"\\\"lognorm_xaxis\\\", \\\"weibull_xaxis\\\", \\\"norm_yaxis\\\", \\\"lognorm_yaxis\\\", \\\"weibull_yaxis\\\", ]: if hlines_y is not None: if type\",\n \"in [\\\"norm_yaxis\\\", \\\"lognorm_yaxis\\\", \\\"weibull_yaxis\\\"]: hlines_y = ppf(tsutils.make_list(hlines_y)) plt.hlines( hlines_y, hlines_xmin, hlines_xmax, colors=hlines_colors, linestyles=hlines_linestyles,\",\n \"Nth color from the current style. 2. Single character code from the table\",\n \"single color then will be used as the color for all vertical lines.\",\n \"[optional, defaults to 50] The size of the random subset for 'bootstrap' plot.\",\n \"the Python API. To not display lines use a space (' ') as\",\n \"short_freq = \\\"\\\" else: # short freq string (day) OR (2 day) short_freq\",\n \"type of the yaxis. One of 'arithmetic', 'log'. secondary_y [optional, default is False]\",\n \".. import plotutils warnings.filterwarnings(\\\"ignore\\\") @mando.command(\\\"kde\\\", formatter_class=RSTHelpFormatter, doctype=\\\"numpy\\\") @tsutils.doc(plotutils.ldocstrings) def kde_cli( input_ts=\\\"-\\\", columns=None, start_date=None,\",\n \"linestyles.append(st[2:]) except IndexError: linestyles.append(\\\" \\\") else: markerstyles.append(\\\" \\\") linestyles.append(st[1:]) if linestyles is None:\",\n \"names. +------------------+ | HTML Color Names | +==================+ | red | +------------------+ |\",\n \"+-------+----------------+ | x | x | +-------+----------------+ | D | diamond | +-------+----------------+\",\n \"that are setup to be able to be distinguished by someone with color\",\n \"vlines_ymax is None: vlines_ymax = nylim[1] if type in [ \\\"time\\\", \\\"xy\\\", \\\"bar\\\",\",\n \"# None, # ], # ) def kde( input_ts=\\\"-\\\", columns=None, start_date=None, end_date=None, clean=False,\",\n \"entire plot. hlines_xmax: [optional, defaults to None] List of maximum x values to\",\n \"# hlines_colors=[str, [\\\"pass\\\", []], None], # hlines_linestyles=[ # str, # [\\\"domain\\\", [\\\"auto\\\", None,\",\n \"hlines_xmax, colors=hlines_colors, linestyles=hlines_linestyles, ) if vlines_x is not None: if type in [\\\"norm_xaxis\\\",\",\n \"= itertools.cycle(linestyles) # Only for bar, barh, bar_stacked, and barh_stacked. ibar_hatchstyles = itertools.cycle(bar_hatchstyles)\",\n \"The default ' ' will not plot a marker. If 'auto' will iterate\",\n \"| o | small circle | +-----------------+-------------------+ | O | large circle |\",\n \"the command line supply a comma separated matplotlib color codes, or within Python\",\n \"[\\\"range\\\", [0, None]], 2], # legend=[bool, [\\\"domain\\\", [True, False]], 1], # legend_names=[str, [\\\"pass\\\",\",\n \"+-----------------+-------------------+ | + | crossed | +-----------------+-------------------+ | x | crossed diagonal |\",\n \"is None: hlines_xmin = nxlim[0] if hlines_xmax is None: hlines_xmax = nxlim[1] if\",\n \"for all vertical lines. A missing value or None will end at the\",\n \"is None] Still available, but if None is replaced by 'colors', 'linestyles', and\",\n \"\\\"muted\\\", # \\\"retro\\\", # ], # ], # None, # ], # hlines_y=[float,\",\n \"The lag used if ``type`` \\\"lag_plot\\\" is chosen. xtitle : str [optional, default\",\n \"plots. Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. {columns} {start_date}\",\n \"1], # ytitle=[str, [\\\"pass\\\", []], 1], # title=[str, [\\\"pass\\\", []], 1], # figsize=[float,\",\n \"``type`` \\\"lag_plot\\\" is chosen. xtitle : str [optional, default depends on ``type``] Title\",\n \"\\\" if style != \\\"auto\\\": nstyle = tsutils.make_list(style) if len(nstyle) != len(tsd.columns): raise\",\n \"circle | +-----------------+-------------------+ | . | dots | +-----------------+-------------------+ | * | stars\",\n \"[optional, default depends on ``type``] Title of y-axis. title : str [optional, defaults\",\n \"is maintained for backward-compatibility. ACCEPTS:: ['default' | 'steps' | 'steps-pre' | 'steps-mid' |\",\n \"values to end each horizontal line. If a list must be same length\",\n \"will end at the maximum x value for the entire plot. vlines_colors: [optional,\",\n \"'colors', 'linestyles', and 'markerstyles' instead of using the 'style' keyword. +---------+--------------+ | Code\",\n \"itertools import os import warnings import mando import numpy as np import pandas\",\n \"[optional, default to 'auto'] If 'auto' will iterate through the available matplotlib line\",\n \"\\\"log\\\"]], 1], # yaxis=[str, [\\\"domain\\\", [\\\"arithmetic\\\", \\\"log\\\"]], 1], # secondary_y=[bool, [\\\"domain\\\", [True, False]],\",\n \"a list must be same length as `vlines_x`. If a single number will\",\n \"markerstyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.MARKER_LIST], None], #\",\n \"title=\\\"\\\", figsize=\\\"10,6.0\\\", legend=None, legend_names=None, subplots=False, sharex=True, sharey=False, colors=\\\"auto\\\", linestyles=\\\"auto\\\", markerstyles=\\\" \\\", bar_hatchstyles=\\\"auto\\\", style=\\\"auto\\\",\",\n \"\\\"high-vis\\\", # \\\"bright\\\", # \\\"vibrant\\\", # \\\"muted\\\", # \\\"retro\\\", # ], # ],\",\n \"if len(nstyle) != len(tsd.columns): raise ValueError( tsutils.error_wrapper( \\\"\\\"\\\" You have to have the\",\n \"to plot. You supplied '{}' for style which has {} style strings, but\",\n \"around some old option defaults with the implementation of # mando legend =\",\n \"x value for the entire plot. hlines_xmax: [optional, defaults to None] List of\",\n \"For --lognorm_yaxis use --type=\\\"lognorm_yaxis\\\" * \\\"\\\"\\\" ) if xaxis == \\\"log\\\": logx =\",\n \": str [optional, defaults is ''] Will add a match line where x\",\n \"# [ # \\\"domain\\\", # [\\\"weibull\\\", \\\"benard\\\", \\\"tukey\\\", \\\"gumbel\\\", \\\"hazen\\\", \\\"cunnane\\\", \\\"california\\\"], #\",\n \"len(st) == 1: markerstyles.append(\\\" \\\") linestyles.append(\\\"-\\\") continue if st[1] in plotutils.MARKER_LIST: markerstyles.append(st[1]) try:\",\n \"False]], 1], # sharex=[bool, [\\\"domain\\\", [True, False]], 1], # sharey=[bool, [\\\"domain\\\", [True, False]],\",\n \"\\\"seaborn-dark\\\", # \\\"seaborn-dark-palette\\\", # \\\"seaborn-darkgrid\\\", # \\\"seaborn-deep\\\", # \\\"seaborn-muted\\\", # \\\"seaborn-notebook\\\", # \\\"seaborn-paper\\\",\",\n \"if pltfreq.split(\\\" \\\")[0][1:] == \\\"1\\\": beginstr = 3 else: beginstr = 1 if\",\n \"tsutils.make_list(vlines_ymax) vlines_colors = tsutils.make_list(vlines_colors) vlines_linestyles = tsutils.make_list(vlines_linestyles) nylim = ax.get_ylim() if vlines_ymin is\",\n \"the plot. See `xlim` for examples. xaxis : str [optional, default is 'arithmetic']\",\n \"scatter_matrix_diagonal : str [optional, defaults to 'kde'] If plot type is 'scatter_matrix', this\",\n \"r | red | +------+---------+ | c | cyan | +------+---------+ | m\",\n \"logx is True or logy is True or norm_xaxis is True or norm_yaxis\",\n \"options. Currently the 'style' option will override the others. Comma separated matplotlib style\",\n \"as `vlines_x`. If None will take for the standard linestyles list. \\\"\\\"\\\" plt\",\n \"itertools.cycle(linestyles) # Only for bar, barh, bar_stacked, and barh_stacked. ibar_hatchstyles = itertools.cycle(bar_hatchstyles) if\",\n \"# invert_yaxis=[bool, [\\\"domain\\\", [True, False]], 1], # plotting_position=[ # str, # [ #\",\n \"and 'markerstyles' instead of using the 'style' keyword. +-------+----------------+ | Code | Markers\",\n \"replaced by 'colors', 'linestyles', and 'markerstyles' options. Currently the 'style' option will override\",\n \"| +-----------------+-------------------+ | - | horizontal | +-----------------+-------------------+ | + | crossed |\",\n \"--norm_xaxis, --norm_yaxis, --lognorm_xaxis, and * --lognorm_yaxis options are deprecated. * * For --logx\",\n \"| None | nothing | +-------+----------------+ | ' ' | nothing | +-------+----------------+\",\n \"[optional, defaults to None] List of minimum y values to start the vertical\",\n \"Kernel Density Estimation or 'hist' for a histogram. bootstrap_size : int [optional, defaults\",\n \"\\\"scatter\\\", # \\\"notebook\\\", # \\\"high-vis\\\", # \\\"bright\\\", # \\\"vibrant\\\", # \\\"muted\\\", # \\\"retro\\\",\",\n \"# sharey=[bool, [\\\"domain\\\", [True, False]], 1], # colors=[str, [\\\"pass\\\", []], None], # linestyles=[str,\",\n \"chart. figsize : str [optional, defaults to '10,6.5'] The 'width,height' of plot in\",\n \"| 8 | octagon | +-------+----------------+ | s | square | +-------+----------------+ |\",\n \"FixedLocator tsd = tsutils.common_kwds( input_ts, skiprows=skiprows, names=names, index_type=index_type, start_date=start_date, end_date=end_date, pick=columns, round_index=round_index, dropna=\\\"all\\\",\",\n \"= itertools.cycle(bar_hatchstyles) if ( logx is True or logy is True or norm_xaxis\",\n \"---------- {input_ts} ofilename : str [optional, defaults to 'plot.png'] Output filename for the\",\n \"and end. {force_freq} invert_xaxis [optional, default is False] Invert the x-axis. invert_yaxis [optional,\",\n \"else: linestyles = [\\\" \\\" if i in [\\\" \\\", None] else i\",\n \"+-----------------+-------------------+ | - | horizontal | +-----------------+-------------------+ | + | crossed | +-----------------+-------------------+\",\n \"2], # xaxis=[str, [\\\"domain\\\", [\\\"arithmetic\\\", \\\"log\\\"]], 1], # yaxis=[str, [\\\"domain\\\", [\\\"arithmetic\\\", \\\"log\\\"]], 1],\",\n \"all vertical lines. If a list must be same length as `vlines_x`. If\",\n \"length as `hlines_y`. If a single number will be the maximum x value\",\n \"list must be same length as `vlines_x`. If None will take from the\",\n \"case subplots=True, share y axis. colors [optional, default is 'auto'] The default 'auto'\",\n \"\\\"weibull_xaxis\\\"]: vlines_x = ppf(tsutils.make_list(vlines_x)) plt.vlines( vlines_x, vlines_ymin, vlines_ymax, colors=vlines_colors, linestyles=vlines_linestyles, ) plt.xlabel(xtitle) plt.ylabel(ytitle)\",\n \"k | black | +------+---------+ 3. Number between 0 and 1 that represents\",\n \"reference: http://matplotlib.org/api/colors_api.html linestyles [optional, default to 'auto'] If 'auto' will iterate through the\",\n \"| 4 | tri_right | +-------+----------------+ | 8 | octagon | +-------+----------------+ |\",\n \"comma separated matplotlib color codes, or within Python a list of color code\",\n \"same length as `hlines_y`. If None will take for the standard linestyles list.\",\n \"chart size to fit in a column of the \\\"IEEE\\\" journal. The \\\"grayscale\\\"\",\n \"minimum x value for the entire plot. vlines_ymax: [optional, defaults to None] List\",\n \"pallette in the current plot style. vlines_linestyles: [optional, defaults to None] List of\",\n \"through the available matplotlib line types. Otherwise on the command line a comma\",\n \"| yellow | +------+---------+ | k | black | +------+---------+ 3. Number between\",\n \"[True, False]], 1], # invert_xaxis=[bool, [\\\"domain\\\", [True, False]], 1], # invert_yaxis=[bool, [\\\"domain\\\", [True,\",\n \"= [] linestyles = [] for st in nstyle: colors.append(st[0]) if len(st) ==\",\n \"entire plot. hlines_colors: [optional, defaults to None] List of colors for the horizontal\",\n \"For --logy use --yaxis=\\\"log\\\" * For --norm_xaxis use --type=\\\"norm_xaxis\\\" * For --norm_yaxis use\",\n \"that can then be changed or added to as needed. lag_plot_lag [optional, default\",\n \"import plotutils warnings.filterwarnings(\\\"ignore\\\") @mando.command(\\\"kde\\\", formatter_class=RSTHelpFormatter, doctype=\\\"numpy\\\") @tsutils.doc(plotutils.ldocstrings) def kde_cli( input_ts=\\\"-\\\", columns=None, start_date=None, end_date=None,\",\n \"i for i in plot_styles ] plt.style.use(plot_styles) figsize = tsutils.make_list(figsize, n=2) _, ax\",\n \"plotting_position : str [optional, default is 'weibull'] {plotting_position_table} Only used for norm_xaxis, norm_yaxis,\",\n \"triangle right | +-------+----------------+ | 1 | tri_down | +-------+----------------+ | 2 |\",\n \": int [optional, defaults to 50] The size of the random subset for\",\n \"| '' | draw nothing | +---------+--------------+ Line reference: http://matplotlib.org/api/artist_api.html markerstyles [optional, default\",\n \"+==================+ | red | +------------------+ | burlywood | +------------------+ | chartreuse | +------------------+\",\n \"the legend label the axis of the various time-series automatically. scatter_matrix_diagonal : str\",\n \"Any of the HTML color names. +------------------+ | HTML Color Names | +==================+\",\n \"None] List of minimum y values to start the vertical line. If a\",\n \"manipulation of time series.\\\"\\\"\\\" from __future__ import absolute_import, division, print_function import itertools import\",\n \"hlines_y=[float, [\\\"pass\\\", []], None], # hlines_xmin=[float, [\\\"pass\\\", []], None], # hlines_xmax=[float, [\\\"pass\\\", []],\",\n \"= tsutils.make_list(hlines_xmin) hlines_xmax = tsutils.make_list(hlines_xmax) hlines_colors = tsutils.make_list(hlines_colors) hlines_linestyles = tsutils.make_list(hlines_linestyles) nxlim =\",\n \"Line reference: http://matplotlib.org/api/artist_api.html markerstyles [optional, default to ' '] The default ' '\",\n \"\\\"seaborn\\\", # \\\"seaborn-bright\\\", # \\\"seaborn-colorblind\\\", # \\\"seaborn-dark\\\", # \\\"seaborn-dark-palette\\\", # \\\"seaborn-darkgrid\\\", # \\\"seaborn-deep\\\",\",\n \"of 'bootstrap_size'. norm_xaxis DEPRECATED: use '--type=\\\"norm_xaxis\\\"' instead. norm_yaxis DEPRECATED: use '--type=\\\"norm_yaxis\\\"' instead. lognorm_xaxis\",\n \"for index, line in enumerate(ax.lines): if icolors is not None: c = next(icolors)\",\n \"entire plot. vlines_ymax: [optional, defaults to None] List of maximum x values to\",\n \"| d | thin diamond | +-------+----------------+ | _ | hlines_y | +-------+----------------+\",\n \"hlines_xmin: [optional, defaults to None] List of minimum x values to start the\",\n \"+---------+--------------+ Line reference: http://matplotlib.org/api/artist_api.html markerstyles [optional, default to ' '] The default '\",\n \"represents the level of gray, where 0 is white an 1 is black.\",\n \"time-series. Just combine codes in 'ColorMarkerLine' order, for example 'r*--' is a red\",\n \"is a number from 0 to 9 that gets the Nth color from\",\n \"\\\"auto\\\": colors = None else: colors = tsutils.make_list(colors) if linestyles == \\\"auto\\\": linestyles\",\n \"SciencePlots styles \\\"science\\\", \\\"grid\\\", \\\"ieee\\\", \\\"scatter\\\", \\\"notebook\\\", \\\"high-vis\\\", \\\"bright\\\", \\\"vibrant\\\", \\\"muted\\\", and \\\"retro\\\".\",\n \"the Matplotlib figure that can then be changed or added to as needed.\",\n \"if xaxis == \\\"log\\\": logx = True if yaxis == \\\"log\\\": logy =\",\n \"= nylim[0] if vlines_ymax is None: vlines_ymax = nylim[1] if type in [\",\n \"str [optional, defaults to ''] Title of chart. figsize : str [optional, defaults\",\n \"Will add a match line where x == y. Set to a line\",\n \"icolors is not None: c = next(icolors) else: c = None if imarkerstyles\",\n \"--logx use --xaxis=\\\"log\\\" * For --logy use --yaxis=\\\"log\\\" * For --norm_xaxis use --type=\\\"norm_xaxis\\\"\",\n \"ax.get_ylim() if vlines_ymin is None: vlines_ymin = nylim[0] if vlines_ymax is None: vlines_ymax\",\n \"size of the random subset for 'bootstrap' plot. bootstrap_samples [optional, defaults to 500]\",\n \"| +------------------+ | ...etc. | +------------------+ Color reference: http://matplotlib.org/api/colors_api.html linestyles [optional, default to\",\n \"\\\"\\\"\\\" plt = kde( input_ts=input_ts, columns=columns, start_date=start_date, end_date=end_date, clean=clean, skiprows=skiprows, index_type=index_type, names=names, ofilename=ofilename,\",\n \"number will be the maximum x value for all vertical lines. A missing\",\n \"'linestyles', and 'markerstyles' instead of using the 'style' keyword. +-------+----------------+ | Code |\",\n \"use --xaxis=\\\"log\\\" * For --logy use --yaxis=\\\"log\\\" * For --norm_xaxis use --type=\\\"norm_xaxis\\\" *\",\n \"'--type=\\\"lognorm_yaxis\\\"' instead. xy_match_line : str [optional, defaults is ''] Will add a match\",\n \"nothing | +-------+----------------+ | '' | nothing | +-------+----------------+ Marker reference: http://matplotlib.org/api/markers_api.html style\",\n \"yaxis. One of 'arithmetic', 'log'. secondary_y [optional, default is False] Whether to plot\",\n \"or list of y values where to place a horizontal line. hlines_xmin: [optional,\",\n \"If 'auto' will iterate through the available matplotlib marker types. Otherwise on the\",\n \"+=================+===================+ | / | diagonal hatching | +-----------------+-------------------+ | ``\\\\`` | back diagonal\",\n \"at the minimum x value for the entire plot. hlines_xmax: [optional, defaults to\",\n \"list of strings if using the Python API. Separated 'colors', 'linestyles', and 'markerstyles'\",\n \"[optional, defaults to None] List of x values where to place a vertical\",\n \"sharex=True, sharey=False, colors=\\\"auto\\\", linestyles=\\\"auto\\\", markerstyles=\\\" \\\", bar_hatchstyles=\\\"auto\\\", style=\\\"auto\\\", logx=False, logy=False, xaxis=\\\"arithmetic\\\", yaxis=\\\"arithmetic\\\", xlim=None,\",\n \"index_type=\\\"datetime\\\", names=None, ofilename=\\\"plot.png\\\", xtitle=\\\"\\\", ytitle=\\\"\\\", title=\\\"\\\", figsize=\\\"10,6.0\\\", legend=None, legend_names=None, subplots=False, sharex=True, sharey=False, colors=\\\"auto\\\",\",\n \"| - | horizontal | +-----------------+-------------------+ | + | crossed | +-----------------+-------------------+ |\",\n \"\\\", \\\" \\\"] + plotutils.HATCH_LIST], None], # style=[str, [\\\"pass\\\", []], None], # xlim=[float,\",\n \"Matplotlib styles \\\"classic\\\", \\\"Solarize_Light2\\\", \\\"bmh\\\", \\\"dark_background\\\", \\\"fast\\\", \\\"fivethirtyeight\\\", \\\"ggplot\\\", \\\"grayscale\\\", \\\"seaborn\\\", \\\"seaborn-bright\\\", \\\"seaborn-colorblind\\\",\",\n \"as `hlines_y`. If None will take for the standard linestyles list. vlines_x: [optional,\",\n \"# legend_names=[str, [\\\"pass\\\", []], 1], # subplots=[bool, [\\\"domain\\\", [True, False]], 1], # sharex=[bool,\",\n \"blue | +------+---------+ | g | green | +------+---------+ | r | red\",\n \"# \\\"seaborn-whitegrid\\\", # \\\"tableau-colorblind10\\\", # \\\"science\\\", # \\\"grid\\\", # \\\"ieee\\\", # \\\"scatter\\\", #\",\n \"to 'kde'] If plot type is 'scatter_matrix', this specifies the plot along the\",\n \"= tsutils.make_list(style) if len(nstyle) != len(tsd.columns): raise ValueError( tsutils.error_wrapper( \\\"\\\"\\\" You have to\",\n \"however the \\\"ieee\\\" also will change the chart size to fit in a\",\n \"# ], # None, # ], # hlines_y=[float, [\\\"pass\\\", []], None], # hlines_xmin=[float,\",\n \"# yaxis=[str, [\\\"domain\\\", [\\\"arithmetic\\\", \\\"log\\\"]], 1], # secondary_y=[bool, [\\\"domain\\\", [True, False]], 1], #\",\n \"density estimation (KDE). {ydata} Parameters ---------- {input_ts} ofilename : str [optional, defaults to\",\n \"List of linestyles for the vertical lines. If a single linestyle then will\",\n \"if yaxis == \\\"log\\\": logy = True xlim = plotutils.know_your_limits(xlim, axis=xaxis) ylim =\",\n \"= itertools.cycle(colors) else: icolors = None imarkerstyles = itertools.cycle(markerstyles) ilinestyles = itertools.cycle(linestyles) #\",\n \"--yaxis=\\\"log\\\" * For --norm_xaxis use --type=\\\"norm_xaxis\\\" * For --norm_yaxis use --type=\\\"norm_yaxis\\\" * For\",\n \"match line where x == y. Set to a line style code. grid\",\n \"to end each vertical line. If a list must be same length as\",\n \"imarkerstyles = itertools.cycle(markerstyles) ilinestyles = itertools.cycle(linestyles) # Only for bar, barh, bar_stacked, and\",\n \"some old option defaults with the implementation of # mando legend = bool(legend\",\n \"hlines_xmax: [optional, defaults to None] List of maximum x values to end each\",\n \"not None: hlines_y = tsutils.make_list(hlines_y) hlines_xmin = tsutils.make_list(hlines_xmin) hlines_xmax = tsutils.make_list(hlines_xmax) hlines_colors =\",\n \"'--xaxis=\\\"log\\\"' instead. logy DEPRECATED: use '--yaxis=\\\"log\\\"' instead. xlim [optional, default is based on\",\n \"\\\"lag_plot\\\" is chosen. xtitle : str [optional, default depends on ``type``] Title of\",\n \"+-----------------+-------------------+ | x | crossed diagonal | +-----------------+-------------------+ | o | small circle\",\n \"pallette in the current plot style. hlines_linestyles: [optional, defaults to None] List of\",\n \"from .. import plotutils warnings.filterwarnings(\\\"ignore\\\") @mando.command(\\\"kde\\\", formatter_class=RSTHelpFormatter, doctype=\\\"numpy\\\") @tsutils.doc(plotutils.ldocstrings) def kde_cli( input_ts=\\\"-\\\", columns=None,\",\n \"matplotlib style strings per time-series. Just combine codes in 'ColorMarkerLine' order, for example\",\n \"drawstyle=\\\"default\\\", por=False, invert_xaxis=False, invert_yaxis=False, round_index=None, plotting_position=\\\"weibull\\\", prob_plot_sort_values=\\\"descending\\\", source_units=None, target_units=None, lag_plot_lag=1, plot_styles=\\\"bright\\\", hlines_y=None, hlines_xmin=None,\",\n \"probability plots. Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. {columns}\",\n \"[\\\"pass\\\", []], 1], # title=[str, [\\\"pass\\\", []], 1], # figsize=[float, [\\\"range\\\", [0, None]],\",\n \"| bar_hatchstyles | Description | +=================+===================+ | / | diagonal hatching | +-----------------+-------------------+\",\n \"# drawstyle=[str, [\\\"pass\\\", []], 1], # por=[bool, [\\\"domain\\\", [True, False]], 1], # invert_xaxis=[bool,\",\n \"None, # ], # hlines_y=[float, [\\\"pass\\\", []], None], # hlines_xmin=[float, [\\\"pass\\\", []], None],\",\n \"of # mando legend = bool(legend == \\\"\\\" or legend == \\\"True\\\" or\",\n \"== 1: markerstyles.append(\\\" \\\") linestyles.append(\\\"-\\\") continue if st[1] in plotutils.MARKER_LIST: markerstyles.append(st[1]) try: linestyles.append(st[2:])\",\n \"the available matplotlib line types. Otherwise on the command line a comma separated\",\n \"Still available, but if None is replaced by 'colors', 'linestyles', and 'markerstyles' options.\",\n \"lower and upper limits for the x-axis of the plot. For example, '--xlim\",\n \"plot type is 'scatter_matrix', this specifies the plot along the diagonal. One of\",\n \"bar_hatchstyles | Description | +=================+===================+ | / | diagonal hatching | +-----------------+-------------------+ |\",\n \"be the maximum x value for all horizontal lines. A missing value or\",\n \"\\\"seaborn-pastel\\\", # \\\"seaborn-poster\\\", # \\\"seaborn-talk\\\", # \\\"seaborn-ticks\\\", # \\\"seaborn-white\\\", # \\\"seaborn-whitegrid\\\", # \\\"tableau-colorblind10\\\",\",\n \"the plot. Extension defines the type, for example 'filename.png' will create a PNG\",\n \"limits for the y-axis of the plot. See `xlim` for examples. xaxis :\",\n \"\\\"auto\\\", only used if type equal to \\\"bar\\\", \\\"barh\\\", \\\"bar_stacked\\\", and \\\"barh_stacked\\\"] If\",\n \"\\\"fast\\\", \\\"fivethirtyeight\\\", \\\"ggplot\\\", \\\"grayscale\\\", \\\"seaborn\\\", \\\"seaborn-bright\\\", \\\"seaborn-colorblind\\\", \\\"seaborn-dark\\\", \\\"seaborn-dark-palette\\\", \\\"seaborn-darkgrid\\\", \\\"seaborn-deep\\\", \\\"seaborn-muted\\\", \\\"seaborn-notebook\\\",\",\n \"xaxis == \\\"log\\\": logx = True if yaxis == \\\"log\\\": logy = True\",\n \"Python, and `ofilename` is None will return the Matplotlib figure that can then\",\n \"legend [optional, defaults to True] Whether to display the legend. legend_names : str\",\n \"is None: vlines_ymin = nylim[0] if vlines_ymax is None: vlines_ymax = nylim[1] if\",\n \"defaults to None] List of maximum x values to end each vertical line.\",\n \"]: if hlines_y is not None: if type in [\\\"norm_yaxis\\\", \\\"lognorm_yaxis\\\", \\\"weibull_yaxis\\\"]: hlines_y\",\n \"(day) OR (2 day) short_freq = \\\"({})\\\".format(pltfreq[beginstr:-1]) except AttributeError: short_freq = \\\"\\\" if\",\n \"figsize = tsutils.make_list(figsize, n=2) _, ax = plt.subplots(figsize=figsize) if type in [\\\"kde\\\", \\\"probability_density\\\"]:\",\n \"marker=m) plt.setp(line, linestyle=l) ytitle = ytitle or \\\"Density\\\" if legend is True: plt.legend(loc=\\\"best\\\")\",\n \"Matplotlib styles: https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_reference.html SciencePlots styles: https://github.com/garrettj403/SciencePlots hlines_y: [optional, defaults to None] Number or\",\n \"along the diagonal. One of 'kde' for Kernel Density Estimation or 'hist' for\",\n \"line style code. grid [optional, default is False] Whether to plot grid lines\",\n \"None] List of linestyles for the horizontal lines. If a single linestyle then\",\n \") for index, line in enumerate(ax.lines): if icolors is not None: c =\",\n \"plot of estimation of the probability density function based on the data called\",\n \"upper limit to 1000. ylim [optional, default is based on range of y\",\n \"dots | +-----------------+-------------------+ | * | stars | +-----------------+-------------------+ logx DEPRECATED: use '--xaxis=\\\"log\\\"'\",\n \"the available matplotlib marker types. Otherwise on the command line a comma separated\",\n \"') as the linestyle code. Separated 'colors', 'linestyles', and 'markerstyles' instead of using\",\n \"dash_dot | +---------+--------------+ | : | dotted | +---------+--------------+ | None | draw\",\n \"None will take for the standard linestyles list. vlines_x: [optional, defaults to None]\",\n \"using the Python API. To not display lines use a space (' ')\",\n \"length as `vlines_x`. If a single number will be the maximum x value\",\n \"with the implementation of # mando legend = bool(legend == \\\"\\\" or legend\",\n \"] plt.style.use(plot_styles) figsize = tsutils.make_list(figsize, n=2) _, ax = plt.subplots(figsize=figsize) if type in\",\n \"color then will be used as the color for all horizontal lines. If\",\n \"tri_down | +-------+----------------+ | 2 | tri_up | +-------+----------------+ | 3 | tri_left\",\n \"inches. legend [optional, defaults to True] Whether to display the legend. legend_names :\",\n \"short_freq = \\\"({})\\\".format(pltfreq[beginstr:-1]) except AttributeError: short_freq = \\\"\\\" if colors == \\\"auto\\\": colors\",\n \"same length as `vlines_x`. If None will take for the standard linestyles list.\",\n \"default ' ' will not plot a marker. If 'auto' will iterate through\",\n \"length as `vlines_x`. If a single number will be used as the minimum\",\n \"ofilename=[str, [\\\"pass\\\", []], 1], # type=[str, [\\\"domain\\\", [\\\"kde\\\",],], 1,], # lag_plot_lag=[int, [\\\"range\\\", [1,\",\n \"i in linestyles] markerstyles = [\\\" \\\" if i is None else i\",\n \"the maximum x value for all vertical lines. A missing value or None\",\n \"str(tsd.index.freq).lower() if pltfreq.split(\\\" \\\")[0][1:] == \\\"1\\\": beginstr = 3 else: beginstr = 1\",\n \"the minimum x values for all vertical lines. A missing value or None\",\n \"'style' keyword. +-------+----------------+ | Code | Markers | +=======+================+ | . | point\",\n \"subplots for each time series. sharex [optional, default to True] In case subplots=True,\",\n \"# Only for bar, barh, bar_stacked, and barh_stacked. ibar_hatchstyles = itertools.cycle(bar_hatchstyles) if (\",\n \"[True, False]], 1], # sharey=[bool, [\\\"domain\\\", [True, False]], 1], # colors=[str, [\\\"pass\\\", []],\",\n \"skiprows=skiprows, names=names, index_type=index_type, start_date=start_date, end_date=end_date, pick=columns, round_index=round_index, dropna=\\\"all\\\", source_units=source_units, target_units=target_units, clean=clean, por=por, )\",\n \"| x | +-------+----------------+ | D | diamond | +-------+----------------+ | d |\",\n \"default 'auto' will cycle through matplotlib colors in the chosen style. At the\",\n \"Invert the y-axis. plotting_position : str [optional, default is 'weibull'] {plotting_position_table} Only used\",\n \"[] markerstyles = [] linestyles = [] for st in nstyle: colors.append(st[0]) if\",\n \"or logy is True or norm_xaxis is True or norm_yaxis is True or\",\n \"doctype=\\\"numpy\\\") @tsutils.doc(plotutils.ldocstrings) def kde_cli( input_ts=\\\"-\\\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\\\"datetime\\\", names=None, ofilename=\\\"plot.png\\\",\",\n \"= nylim[1] if type in [ \\\"time\\\", \\\"xy\\\", \\\"bar\\\", \\\"bar_stacked\\\", \\\"histogram\\\", \\\"norm_xaxis\\\", \\\"lognorm_xaxis\\\",\",\n \"\\\"seaborn-colorblind\\\", # \\\"seaborn-dark\\\", # \\\"seaborn-dark-palette\\\", # \\\"seaborn-darkgrid\\\", # \\\"seaborn-deep\\\", # \\\"seaborn-muted\\\", # \\\"seaborn-notebook\\\",\",\n \"+-------+----------------+ Marker reference: http://matplotlib.org/api/markers_api.html style [optional, default is None] Still available, but if\",\n \"the type of the xaxis. One of 'arithmetic', 'log'. yaxis : str [optional,\",\n \"weibull_yaxis. prob_plot_sort_values : str [optional, default is 'descending'] How to sort the values\",\n \"a list must be same length as `hlines_y`. If None will take from\",\n \"[True, False]], 1], # plotting_position=[ # str, # [ # \\\"domain\\\", # [\\\"weibull\\\",\",\n \"List of minimum x values to start the horizontal line. If a list\",\n \"in nstyle: colors.append(st[0]) if len(st) == 1: markerstyles.append(\\\" \\\") linestyles.append(\\\"-\\\") continue if st[1]\",\n \"associated with the input data. The 'legend_names' option allows you to override the\",\n \"base the lower limit on the data and set the upper limit to\",\n \"names=names, ofilename=ofilename, xtitle=xtitle, ytitle=ytitle, title=title, figsize=figsize, legend=legend, legend_names=legend_names, subplots=subplots, sharex=sharex, sharey=sharey, colors=colors, linestyles=linestyles,\",\n \"'--type=\\\"lognorm_xaxis\\\"' instead. lognorm_yaxis DEPRECATED: use '--type=\\\"lognorm_yaxis\\\"' instead. xy_match_line : str [optional, defaults is\",\n \"l = next(ilinestyles) else: l = None if c is not None: plt.setp(line,\",\n \"| +-------+----------------+ | D | diamond | +-------+----------------+ | d | thin diamond\",\n \"\\\"ieee\\\" also will change the chart size to fit in a column of\",\n \"+-------+----------------+ | 3 | tri_left | +-------+----------------+ | 4 | tri_right | +-------+----------------+\",\n \"will create a plot of estimation of the probability density function based on\",\n \"linestyles list. \\\"\\\"\\\" plt = kde( input_ts=input_ts, columns=columns, start_date=start_date, end_date=end_date, clean=clean, skiprows=skiprows, index_type=index_type,\",\n \"clean=clean, skiprows=skiprows, index_type=index_type, names=names, ofilename=ofilename, xtitle=xtitle, ytitle=ytitle, title=title, figsize=figsize, legend=legend, legend_names=legend_names, subplots=subplots, sharex=sharex,\",\n \"as `hlines_y`. If None will take from the color pallette in the current\",\n \"--lognorm_yaxis use --type=\\\"lognorm_yaxis\\\" * \\\"\\\"\\\" ) if xaxis == \\\"log\\\": logx = True\",\n \"of the various time-series automatically. scatter_matrix_diagonal : str [optional, defaults to 'kde'] If\",\n \"weibull_xaxis, and weibull_yaxis. prob_plot_sort_values : str [optional, default is 'descending'] How to sort\",\n \"# ], # 1, # ], # prob_plot_sort_values=[str, [\\\"domain\\\", [\\\"ascending\\\", \\\"descending\\\"]], 1], #\",\n \"[optional, default depends on ``type``] Title of x-axis. ytitle : str [optional, default\",\n \"linestyles [optional, default to 'auto'] If 'auto' will iterate through the available matplotlib\",\n \"+-------+----------------+ | ' ' | nothing | +-------+----------------+ | '' | nothing |\",\n \"False]], 1], # sharey=[bool, [\\\"domain\\\", [True, False]], 1], # colors=[str, [\\\"pass\\\", []], None],\",\n \"style is appropriate for black, white, and gray, however the \\\"ieee\\\" also will\",\n \"[\\\"domain\\\", [True, False]], 1], # scatter_matrix_diagonal=[str, [\\\"domain\\\", [\\\"kde\\\", \\\"hist\\\"]], 1], # bootstrap_size=[int, [\\\"range\\\",\",\n \"To not display lines use a space (' ') as the linestyle code.\",\n \"figsize=[float, [\\\"range\\\", [0, None]], 2], # legend=[bool, [\\\"domain\\\", [True, False]], 1], # legend_names=[str,\",\n \"{ydata} Parameters ---------- {input_ts} ofilename : str [optional, defaults to 'plot.png'] Output filename\",\n \"\\\", \\\" \\\"] + plotutils.LINE_LIST], None], # markerstyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\"\",\n \"Skip for major labels for bar plots. drawstyle : str [optional, default is\",\n \"within Python, and `ofilename` is None will return the Matplotlib figure that can\",\n \"all vertical lines. A missing value or None will end at the maximum\",\n \"| k | black | +------+---------+ 3. Number between 0 and 1 that\",\n \"on range of y values] Comma separated lower and upper limits for the\",\n \"the Python API. Separated 'colors', 'linestyles', and 'markerstyles' instead of using the 'style'\",\n \"as `hlines_y`. If a single number will be used as the minimum x\",\n \"# \\\"science\\\", # \\\"grid\\\", # \\\"ieee\\\", # \\\"scatter\\\", # \\\"notebook\\\", # \\\"high-vis\\\", #\",\n \"\\\"seaborn-colorblind\\\", \\\"seaborn-dark\\\", \\\"seaborn-dark-palette\\\", \\\"seaborn-darkgrid\\\", \\\"seaborn-deep\\\", \\\"seaborn-muted\\\", \\\"seaborn-notebook\\\", \\\"seaborn-paper\\\", \\\"seaborn-pastel\\\", \\\"seaborn-poster\\\", \\\"seaborn-talk\\\", \\\"seaborn-ticks\\\", \\\"seaborn-white\\\",\",\n \"\\\"classic\\\", # \\\"Solarize_Light2\\\", # \\\"bmh\\\", # \\\"dark_background\\\", # \\\"fast\\\", # \\\"fivethirtyeight\\\", # \\\"ggplot\\\",\",\n \"None], # hlines_xmin=[float, [\\\"pass\\\", []], None], # hlines_xmax=[float, [\\\"pass\\\", []], None], # hlines_colors=[str,\",\n \"use '--type=\\\"norm_yaxis\\\"' instead. lognorm_xaxis DEPRECATED: use '--type=\\\"lognorm_xaxis\\\"' instead. lognorm_yaxis DEPRECATED: use '--type=\\\"lognorm_yaxis\\\"' instead.\",\n \"have to have the same number of style strings as time-series to plot.\",\n \"instead. xlim [optional, default is based on range of x values] Comma separated\",\n \"+=======+================+ | . | point | +-------+----------------+ | o | circle | +-------+----------------+\",\n \"useful for photo-copyable black, white, nd gray. Matplotlib styles: https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_reference.html SciencePlots styles: https://github.com/garrettj403/SciencePlots\",\n \"matplotlib.pyplot as plt from matplotlib.ticker import FixedLocator tsd = tsutils.common_kwds( input_ts, skiprows=skiprows, names=names,\",\n \"to end each horizontal line. If a list must be same length as\",\n \"subplots=True, share x axis. sharey [optional, default to False] In case subplots=True, share\",\n \"default to 'auto'] If 'auto' will iterate through the available matplotlib line types.\",\n \"| +-------+----------------+ | ``+`` | plus | +-------+----------------+ | x | x |\",\n \"available matplotlib line types. Otherwise on the command line a comma separated list,\",\n \"values] Comma separated lower and upper limits for the y-axis of the plot.\",\n \"+-------+----------------+ | p | pentagon | +-------+----------------+ | ``*`` | star | +-------+----------------+\",\n \"White, and Gray Styles The \\\"ieee\\\" style is appropriate for black, white, and\",\n \"' will not plot a marker. If 'auto' will iterate through the available\",\n \"np import pandas as pd from mando.rst_text_formatter import RSTHelpFormatter from tstoolbox import tsutils\",\n \"example, '--xlim 1,1000' would limit the plot from 1 to 1000, where '--xlim\",\n \"not plot a marker. If 'auto' will iterate through the available matplotlib marker\",\n \"'' | draw nothing | +---------+--------------+ Line reference: http://matplotlib.org/api/artist_api.html markerstyles [optional, default to\",\n \"in the data set. You must supply a comma separated list of strings\",\n \"on the data and set the upper limit to 1000. ylim [optional, default\",\n \"series.\\\"\\\"\\\" from __future__ import absolute_import, division, print_function import itertools import os import warnings\",\n \"dropna=\\\"all\\\", source_units=source_units, target_units=target_units, clean=clean, por=por, ) tsd, lnames = plotutils.check(type, tsd, legend_names) #\",\n \"+-----------------+-------------------+ logx DEPRECATED: use '--xaxis=\\\"log\\\"' instead. logy DEPRECATED: use '--yaxis=\\\"log\\\"' instead. xlim [optional,\",\n \"the chosen style. At the command line supply a comma separated matplotlib color\",\n \"in the current plot style. hlines_linestyles: [optional, defaults to None] List of linestyles\",\n \"\\\"log\\\": logy = True xlim = plotutils.know_your_limits(xlim, axis=xaxis) ylim = plotutils.know_your_limits(ylim, axis=yaxis) plot_styles\",\n \"None if c is not None: plt.setp(line, color=c) plt.setp(line, marker=m) plt.setp(line, linestyle=l) ytitle\",\n \"each horizontal line. If a list must be same length as `hlines_y`. If\",\n \"= tsutils.make_list(hlines_y) hlines_xmin = tsutils.make_list(hlines_xmin) hlines_xmax = tsutils.make_list(hlines_xmax) hlines_colors = tsutils.make_list(hlines_colors) hlines_linestyles =\",\n \"None] List of linestyles for the vertical lines. If a single linestyle then\",\n \"True or norm_yaxis is True or lognorm_xaxis is True or lognorm_yaxis is True\",\n \"labels for bar plots. drawstyle : str [optional, default is 'default'] 'default' connects\",\n \"None], # xlim=[float, [\\\"pass\\\", []], 2], # ylim=[float, [\\\"pass\\\", []], 2], # xaxis=[str,\",\n \"`vlines_x`. If a single number will be used as the minimum x values\",\n \"| hexagon2 | +-------+----------------+ | ``+`` | plus | +-------+----------------+ | x |\",\n \"hlines_colors=None, hlines_linestyles=\\\"-\\\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\\\"-\\\", **kwds, ): r\\\"\\\"\\\"Plot data.\\\"\\\"\\\" # Need\",\n \"linestyles is None: linestyles = [\\\" \\\"] else: linestyles = [\\\" \\\" if\",\n \"xaxis=[str, [\\\"domain\\\", [\\\"arithmetic\\\", \\\"log\\\"]], 1], # yaxis=[str, [\\\"domain\\\", [\\\"arithmetic\\\", \\\"log\\\"]], 1], # secondary_y=[bool,\",\n \"end at the maximum x value for the entire plot. vlines_colors: [optional, defaults\",\n \"but if None is replaced by 'colors', 'linestyles', and 'markerstyles' options. Currently the\",\n \"where x == y. Set to a line style code. grid [optional, default\",\n \"to 1000, where '--xlim ,1000' would base the lower limit on the data\",\n \"tsutils.common_kwds( input_ts, skiprows=skiprows, names=names, index_type=index_type, start_date=start_date, end_date=end_date, pick=columns, round_index=round_index, dropna=\\\"all\\\", source_units=source_units, target_units=target_units, clean=clean,\",\n \"plot on secondary y-axis. mark_right [optional, default is True] When using a secondary_y\",\n \"Styles The \\\"ieee\\\" style is appropriate for black, white, and gray, however the\",\n \"is appropriate for black, white, and gray, however the \\\"ieee\\\" also will change\",\n \"hlines_linestyles=hlines_linestyles, vlines_x=vlines_x, vlines_ymin=vlines_ymin, vlines_ymax=vlines_ymax, vlines_colors=vlines_colors, vlines_linestyles=vlines_linestyles, ) # @tsutils.validator( # ofilename=[str, [\\\"pass\\\", []],\",\n \"where '--xlim ,1000' would base the lower limit on the data and set\",\n \"to place a horizontal line. hlines_xmin: [optional, defaults to None] List of minimum\",\n \"the 'style' keyword. +-------+----------------+ | Code | Markers | +=======+================+ | . |\",\n \"not None: c = next(icolors) else: c = None if imarkerstyles is not\",\n \"os.path.join( os.path.dirname(__file__), os.pardir, \\\"SciencePlots_styles\\\" ) plot_styles = [ os.path.join(style_loc, i + \\\".mplstyle\\\") if\",\n \"raise ValueError( tsutils.error_wrapper( \\\"\\\"\\\" You have to have the same number of style\",\n \"bar_hatchstyles = tsutils.make_list(bar_hatchstyles) if markerstyles == \\\"auto\\\": markerstyles = plotutils.MARKER_LIST else: markerstyles =\",\n \"the Nth color from the current style. 2. Single character code from the\",\n \"defaults to False] Make separate subplots for each time series. sharex [optional, default\",\n \"be changed or added to as needed. lag_plot_lag [optional, default to 1] The\",\n \"= tsutils.make_list(bar_hatchstyles) if markerstyles == \\\"auto\\\": markerstyles = plotutils.MARKER_LIST else: markerstyles = tsutils.make_list(markerstyles)\",\n \"option will override the others. Comma separated matplotlib style strings per time-series. Just\",\n \"legend label the axis of the various time-series automatically. scatter_matrix_diagonal : str [optional,\",\n \"+------+---------+ | m | magenta | +------+---------+ | y | yellow | +------+---------+\",\n \"\\\"] + plotutils.LINE_LIST], None], # markerstyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\"\",\n \"lognorm_xaxis DEPRECATED: use '--type=\\\"lognorm_xaxis\\\"' instead. lognorm_yaxis DEPRECATED: use '--type=\\\"lognorm_yaxis\\\"' instead. xy_match_line : str\",\n \"on the command line a comma separated list, or a list of strings\",\n \"if using the Python API. Separated 'colors', 'linestyles', and 'markerstyles' instead of using\",\n \"# ) def kde( input_ts=\\\"-\\\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\\\"datetime\\\", names=None, ofilename=\\\"plot.png\\\",\",\n \"linestyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.LINE_LIST], None], #\",\n \"= None else: colors = tsutils.make_list(colors) if linestyles == \\\"auto\\\": linestyles = plotutils.LINE_LIST\",\n \"None if ilinestyles is not None: l = next(ilinestyles) else: l = None\",\n \"beginning and end. {force_freq} invert_xaxis [optional, default is False] Invert the x-axis. invert_yaxis\",\n \"entire plot. vlines_colors: [optional, defaults to None] List of colors for the vertical\",\n \"hlines_xmin is None: hlines_xmin = nxlim[0] if hlines_xmax is None: hlines_xmax = nxlim[1]\",\n \"[]], 1], # subplots=[bool, [\\\"domain\\\", [True, False]], 1], # sharex=[bool, [\\\"domain\\\", [True, False]],\",\n \"is True or logy is True or norm_xaxis is True or norm_yaxis is\",\n \"None else i for i in markerstyles] if colors is not None: icolors\",\n \"logx=logx, logy=logy, xlim=xlim, ylim=ylim, secondary_y=secondary_y, figsize=figsize, ) for index, line in enumerate(ax.lines): if\",\n \"nylim = ax.get_ylim() if vlines_ymin is None: vlines_ymin = nylim[0] if vlines_ymax is\",\n \"or added to as needed. lag_plot_lag [optional, default to 1] The lag used\",\n \"\\\"seaborn-bright\\\", # \\\"seaborn-colorblind\\\", # \\\"seaborn-dark\\\", # \\\"seaborn-dark-palette\\\", # \\\"seaborn-darkgrid\\\", # \\\"seaborn-deep\\\", # \\\"seaborn-muted\\\",\",\n \"xlim=xlim, ylim=ylim, secondary_y=secondary_y, figsize=figsize, ) for index, line in enumerate(ax.lines): if icolors is\",\n \"= True xlim = plotutils.know_your_limits(xlim, axis=xaxis) ylim = plotutils.know_your_limits(ylim, axis=yaxis) plot_styles = tsutils.make_list(plot_styles)\",\n \"1], # title=[str, [\\\"pass\\\", []], 1], # figsize=[float, [\\\"range\\\", [0, None]], 2], #\",\n \"\\\"\\\" else: # short freq string (day) OR (2 day) short_freq = \\\"({})\\\".format(pltfreq[beginstr:-1])\",\n \"[\\\"pass\\\", []], None], # vlines_linestyles=[ # str, # [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\"\",\n \"m = None if ilinestyles is not None: l = next(ilinestyles) else: l\",\n \"from first good value to last good value. Strips NANs from beginning and\",\n \"\\\"tukey\\\", \\\"gumbel\\\", \\\"hazen\\\", \\\"cunnane\\\", \\\"california\\\"], # ], # 1, # ], # prob_plot_sort_values=[str,\",\n \"\\\"seaborn-ticks\\\", # \\\"seaborn-white\\\", # \\\"seaborn-whitegrid\\\", # \\\"tableau-colorblind10\\\", # \\\"science\\\", # \\\"grid\\\", # \\\"ieee\\\",\",\n \"# hlines_xmax=[float, [\\\"pass\\\", []], None], # hlines_colors=[str, [\\\"pass\\\", []], None], # hlines_linestyles=[ #\",\n \"style=[str, [\\\"pass\\\", []], None], # xlim=[float, [\\\"pass\\\", []], 2], # ylim=[float, [\\\"pass\\\", []],\",\n \"subsets of 'bootstrap_size'. norm_xaxis DEPRECATED: use '--type=\\\"norm_xaxis\\\"' instead. norm_yaxis DEPRECATED: use '--type=\\\"norm_yaxis\\\"' instead.\",\n \"itertools.cycle(colors) else: icolors = None imarkerstyles = itertools.cycle(markerstyles) ilinestyles = itertools.cycle(linestyles) # Only\",\n \"based on range of x values] Comma separated lower and upper limits for\",\n \"\\\") else: markerstyles.append(\\\" \\\") linestyles.append(st[1:]) if linestyles is None: linestyles = [\\\" \\\"]\",\n \"list of strings if using the Python API. To not display lines use\",\n \"1,1000' would limit the plot from 1 to 1000, where '--xlim ,1000' would\",\n \"color blindness. Black, White, and Gray Styles The \\\"ieee\\\" style is appropriate for\",\n \"the current plot style. vlines_linestyles: [optional, defaults to None] List of linestyles for\",\n \"logx=False, logy=False, xaxis=\\\"arithmetic\\\", yaxis=\\\"arithmetic\\\", xlim=None, ylim=None, secondary_y=False, mark_right=True, scatter_matrix_diagonal=\\\"kde\\\", bootstrap_size=50, bootstrap_samples=500, norm_xaxis=False, norm_yaxis=False,\",\n \"for bar, barh, bar_stacked, and barh_stacked. ibar_hatchstyles = itertools.cycle(bar_hatchstyles) if ( logx is\",\n \"| r | red | +------+---------+ | c | cyan | +------+---------+ |\",\n \"i is None else i for i in markerstyles] if colors is not\",\n \"be same length as `hlines_y`. If a single number will be the maximum\",\n \"int [optional] Skip for major labels for bar plots. drawstyle : str [optional,\",\n \"[\\\"pass\\\", []], 1], # por=[bool, [\\\"domain\\\", [True, False]], 1], # invert_xaxis=[bool, [\\\"domain\\\", [True,\",\n \"len(tsd.columns) ) ) ) colors = [] markerstyles = [] linestyles = []\",\n \"strings as time-series to plot. You supplied '{}' for style which has {}\",\n \"| +-------+----------------+ Marker reference: http://matplotlib.org/api/markers_api.html style [optional, default is None] Still available, but\",\n \"list must be same length as `hlines_y`. If None will take for the\",\n \"| +------+---------+ 3. Number between 0 and 1 that represents the level of\",\n \"= str(tsd.index.freq, \\\"utf-8\\\").lower() except TypeError: pltfreq = str(tsd.index.freq).lower() if pltfreq.split(\\\" \\\")[0][1:] == \\\"1\\\":\",\n \"nxlim[0] if hlines_xmax is None: hlines_xmax = nxlim[1] if vlines_x is not None:\",\n \"has {} style strings, but you have {} time-series. \\\"\\\"\\\".format( style, len(nstyle), len(tsd.columns)\",\n \"c = next(icolors) else: c = None if imarkerstyles is not None: m\",\n \"== y. Set to a line style code. grid [optional, default is False]\",\n \"as the color for all horizontal lines. If a list must be same\",\n \"will iterate through the available matplotlib hatch types. Otherwise on the command line\",\n \"which time-series to plot on secondary y-axis. mark_right [optional, default is True] When\",\n \"or norm_yaxis is True or lognorm_xaxis is True or lognorm_yaxis is True ):\",\n \"`vlines_x`. If a single number will be the maximum x value for all\",\n \"= tsutils.make_list(vlines_ymax) vlines_colors = tsutils.make_list(vlines_colors) vlines_linestyles = tsutils.make_list(vlines_linestyles) nylim = ax.get_ylim() if vlines_ymin\",\n \"+-------+----------------+ | 8 | octagon | +-------+----------------+ | s | square | +-------+----------------+\",\n \"of using the 'style' keyword. +-------+----------------+ | Code | Markers | +=======+================+ |\",\n \"| g | green | +------+---------+ | r | red | +------+---------+ |\",\n \"vlines_ymin is None: vlines_ymin = nylim[0] if vlines_ymax is None: vlines_ymax = nylim[1]\",\n \"the style of the plot. One or more of Matplotlib styles \\\"classic\\\", \\\"Solarize_Light2\\\",\",\n \"vlines_ymin: [optional, defaults to None] List of minimum y values to start the\",\n \"x values to start the horizontal line. If a list must be same\",\n \"plt.legend(loc=\\\"best\\\") if hlines_y is not None: hlines_y = tsutils.make_list(hlines_y) hlines_xmin = tsutils.make_list(hlines_xmin) hlines_xmax\",\n \"+-------+----------------+ | 1 | tri_down | +-------+----------------+ | 2 | tri_up | +-------+----------------+\",\n \"defaults to None] Number or list of y values where to place a\",\n \"[optional, default is 'arithmetic'] Defines the type of the xaxis. One of 'arithmetic',\",\n \"# ], # vlines_x=[float, [\\\"pass\\\", []], None], # vlines_ymin=[float, [\\\"pass\\\", []], None], #\",\n \"= tsutils.make_list(hlines_xmax) hlines_colors = tsutils.make_list(hlines_colors) hlines_linestyles = tsutils.make_list(hlines_linestyles) nxlim = ax.get_xlim() if hlines_xmin\",\n \"If None will take for the standard linestyles list. vlines_x: [optional, defaults to\",\n \"= next(imarkerstyles) else: m = None if ilinestyles is not None: l =\",\n \"but you have {} time-series. \\\"\\\"\\\".format( style, len(nstyle), len(tsd.columns) ) ) ) colors\",\n \"import itertools import os import warnings import mando import numpy as np import\",\n \"``+`` | plus | +-------+----------------+ | x | x | +-------+----------------+ | D\",\n \": str [optional, default is 'arithmetic'] Defines the type of the xaxis. One\",\n \"and 'markerstyles' instead of using the 'style' keyword. +---------+--------------+ | Code | Lines\",\n \"bar, barh, bar_stacked, and barh_stacked. ibar_hatchstyles = itertools.cycle(bar_hatchstyles) if ( logx is True\",\n \"matplotlib color codes, or within Python a list of color code strings. Can\",\n \"{skiprows} {index_type} {names} {source_units} {target_units} {round_index} plot_styles: str [optional, default is \\\"default\\\"] Set\",\n \"of the probability density function based on the data called kernel density estimation\",\n \"values for all horizontal lines. A missing value or None will start at\",\n \"is True or norm_yaxis is True or lognorm_xaxis is True or lognorm_yaxis is\",\n \"sharey=sharey, colors=colors, linestyles=linestyles, markerstyles=markerstyles, bar_hatchstyles=bar_hatchstyles, style=style, logx=logx, logy=logy, xaxis=xaxis, yaxis=yaxis, xlim=xlim, ylim=ylim, secondary_y=secondary_y,\",\n \"to start the vertical line. If a list must be same length as\",\n \"end_date=end_date, pick=columns, round_index=round_index, dropna=\\\"all\\\", source_units=source_units, target_units=target_units, clean=clean, por=por, ) tsd, lnames = plotutils.check(type,\",\n \"the standard linestyles list. \\\"\\\"\\\" plt = kde( input_ts=input_ts, columns=columns, start_date=start_date, end_date=end_date, clean=clean,\",\n \"+-------+----------------+ | None | nothing | +-------+----------------+ | ' ' | nothing |\",\n \"str [optional, defaults is ''] Will add a match line where x ==\",\n \"of probability density function. \\\"kde\\\" will create a plot of estimation of the\",\n \"+-------+----------------+ | Code | Markers | +=======+================+ | . | point | +-------+----------------+\",\n \"| square | +-------+----------------+ | p | pentagon | +-------+----------------+ | ``*`` |\",\n \"1], # type=[str, [\\\"domain\\\", [\\\"kde\\\",],], 1,], # lag_plot_lag=[int, [\\\"range\\\", [1, None]], 1], #\",\n \"not None: l = next(ilinestyles) else: l = None if c is not\",\n \"a marker. If 'auto' will iterate through the available matplotlib marker types. Otherwise\",\n \"norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. {columns} {start_date} {end_date} {clean} {skiprows} {index_type}\",\n \"values] Comma separated lower and upper limits for the x-axis of the plot.\",\n \"standard linestyles list. \\\"\\\"\\\" plt = kde( input_ts=input_ts, columns=columns, start_date=start_date, end_date=end_date, clean=clean, skiprows=skiprows,\",\n \"hlines_y | +-------+----------------+ | None | nothing | +-------+----------------+ | ' ' |\",\n \"are all styles that are setup to be able to be distinguished by\",\n \"-. | dash_dot | +---------+--------------+ | : | dotted | +---------+--------------+ | None\",\n \"bootstrap_size=[int, [\\\"range\\\", [0, None]], 1], # xy_match_line=[str, [\\\"pass\\\", []], 1], # grid=[bool, [\\\"domain\\\",\",\n \"keyword. +-------+----------------+ | Code | Markers | +=======+================+ | . | point |\",\n \"default is 'default'] 'default' connects the points with lines. The steps variants produce\",\n \"to None] List of linestyles for the horizontal lines. If a single linestyle\",\n \"tsd, legend_names) # This is to help pretty print the frequency try: try:\",\n \"value for the entire plot. hlines_xmax: [optional, defaults to None] List of maximum\",\n \"(KDE). {ydata} Parameters ---------- {input_ts} ofilename : str [optional, defaults to 'plot.png'] Output\",\n \"# ylim=[float, [\\\"pass\\\", []], 2], # xaxis=[str, [\\\"domain\\\", [\\\"arithmetic\\\", \\\"log\\\"]], 1], # yaxis=[str,\",\n \"import matplotlib matplotlib.use(\\\"Agg\\\") import matplotlib.pyplot as plt from matplotlib.ticker import FixedLocator tsd =\",\n \"plt.setp(line, color=c) plt.setp(line, marker=m) plt.setp(line, linestyle=l) ytitle = ytitle or \\\"Density\\\" if legend\",\n \"| +---------+--------------+ | -. | dash_dot | +---------+--------------+ | : | dotted |\",\n \"| o | circle | +-------+----------------+ | v | triangle down | +-------+----------------+\",\n \"pretty print the frequency try: try: pltfreq = str(tsd.index.freq, \\\"utf-8\\\").lower() except TypeError: pltfreq\",\n \"major labels for bar plots. drawstyle : str [optional, default is 'default'] 'default'\",\n \"i in plot_styles ] plt.style.use(plot_styles) figsize = tsutils.make_list(figsize, n=2) _, ax = plt.subplots(figsize=figsize)\",\n \"por=por, invert_xaxis=invert_xaxis, invert_yaxis=invert_yaxis, round_index=round_index, plotting_position=plotting_position, prob_plot_sort_values=prob_plot_sort_values, source_units=source_units, target_units=target_units, lag_plot_lag=lag_plot_lag, plot_styles=plot_styles, hlines_y=hlines_y, hlines_xmin=hlines_xmin, hlines_xmax=hlines_xmax,\",\n \"legend=[bool, [\\\"domain\\\", [True, False]], 1], # legend_names=[str, [\\\"pass\\\", []], 1], # subplots=[bool, [\\\"domain\\\",\",\n \"# vlines_ymin=[float, [\\\"pass\\\", []], None], # vlines_ymax=[float, [\\\"pass\\\", []], None], # vlines_colors=[str, [\\\"pass\\\",\",\n \"`hlines_y`. If None will take from the color pallette in the current plot\",\n \"pentagon | +-------+----------------+ | ``*`` | star | +-------+----------------+ | h | hexagon1\",\n \"mark_right=mark_right, scatter_matrix_diagonal=scatter_matrix_diagonal, bootstrap_size=bootstrap_size, bootstrap_samples=bootstrap_samples, norm_xaxis=norm_xaxis, norm_yaxis=norm_yaxis, lognorm_xaxis=lognorm_xaxis, lognorm_yaxis=lognorm_yaxis, xy_match_line=xy_match_line, grid=grid, label_rotation=label_rotation, label_skip=label_skip, force_freq=force_freq,\",\n \"y values where to place a horizontal line. hlines_xmin: [optional, defaults to None]\",\n \"= ytitle or \\\"Density\\\" if legend is True: plt.legend(loc=\\\"best\\\") if hlines_y is not\",\n \"defaults to None] Legend would normally use the time-series names associated with the\",\n \"\\\"seaborn-darkgrid\\\", \\\"seaborn-deep\\\", \\\"seaborn-muted\\\", \\\"seaborn-notebook\\\", \\\"seaborn-paper\\\", \\\"seaborn-pastel\\\", \\\"seaborn-poster\\\", \\\"seaborn-talk\\\", \\\"seaborn-ticks\\\", \\\"seaborn-white\\\", \\\"seaborn-whitegrid\\\", \\\"tableau-colorblind10\\\", and\",\n \"comma separated list of strings for each time-series in the data set. subplots\",\n \"the command line a comma separated list, or a list of strings if\",\n \"scatter_matrix_diagonal=\\\"kde\\\", bootstrap_size=50, bootstrap_samples=500, norm_xaxis=False, norm_yaxis=False, lognorm_xaxis=False, lognorm_yaxis=False, xy_match_line=\\\"\\\", grid=False, label_rotation=None, label_skip=1, force_freq=None, drawstyle=\\\"default\\\",\",\n \"white, and gray, however the \\\"ieee\\\" also will change the chart size to\",\n \"limit to 1000. ylim [optional, default is based on range of y values]\",\n \"line types. Otherwise on the command line a comma separated list, or a\",\n \"'default' connects the points with lines. The steps variants produce step-plots. 'steps' is\",\n \"input data. The 'legend_names' option allows you to override the names in the\",\n \"of the xaxis. One of 'arithmetic', 'log'. yaxis : str [optional, default is\",\n \"hlines_xmin=hlines_xmin, hlines_xmax=hlines_xmax, hlines_colors=hlines_colors, hlines_linestyles=hlines_linestyles, vlines_x=vlines_x, vlines_ymin=vlines_ymin, vlines_ymax=vlines_ymax, vlines_colors=vlines_colors, vlines_linestyles=vlines_linestyles, ) # @tsutils.validator( #\",\n \"\\\"vibrant\\\", \\\"muted\\\", and \\\"retro\\\". If multiple styles then each over rides some or\",\n \"color for all vertical lines. If a list must be same length as\",\n \"diamond | +-------+----------------+ | _ | hlines_y | +-------+----------------+ | None | nothing\",\n \"would normally use the time-series names associated with the input data. The 'legend_names'\",\n \"is chosen. xtitle : str [optional, default depends on ``type``] Title of x-axis.\",\n \"if pltfreq == \\\"none\\\": short_freq = \\\"\\\" else: # short freq string (day)\",\n \"xaxis=\\\"arithmetic\\\", yaxis=\\\"arithmetic\\\", xlim=None, ylim=None, secondary_y=False, mark_right=True, scatter_matrix_diagonal=\\\"kde\\\", bootstrap_size=50, bootstrap_samples=500, norm_xaxis=False, norm_yaxis=False, lognorm_xaxis=False, lognorm_yaxis=False,\",\n \"[\\\"arithmetic\\\", \\\"log\\\"]], 1], # yaxis=[str, [\\\"domain\\\", [\\\"arithmetic\\\", \\\"log\\\"]], 1], # secondary_y=[bool, [\\\"domain\\\", [True,\",\n \"will be the maximum x value for all vertical lines. A missing value\",\n \"None | nothing | +-------+----------------+ | ' ' | nothing | +-------+----------------+ |\",\n \"vertical | +-----------------+-------------------+ | - | horizontal | +-----------------+-------------------+ | + | crossed\",\n \"if ``type`` \\\"lag_plot\\\" is chosen. xtitle : str [optional, default depends on ``type``]\",\n \"\\\"notebook\\\", \\\"high-vis\\\", \\\"bright\\\", \\\"vibrant\\\", \\\"muted\\\", and \\\"retro\\\". If multiple styles then each over\",\n \"hlines_xmax=hlines_xmax, hlines_colors=hlines_colors, hlines_linestyles=hlines_linestyles, vlines_x=vlines_x, vlines_ymin=vlines_ymin, vlines_ymax=vlines_ymax, vlines_colors=vlines_colors, vlines_linestyles=vlines_linestyles, ) # @tsutils.validator( # ofilename=[str,\",\n \"# legend=[bool, [\\\"domain\\\", [True, False]], 1], # legend_names=[str, [\\\"pass\\\", []], 1], # subplots=[bool,\",\n \"None] List of maximum x values to end each vertical line. If a\",\n \"vertical line. vlines_ymin: [optional, defaults to None] List of minimum y values to\",\n \": int [optional] Skip for major labels for bar plots. drawstyle : str\",\n \"y values to start the vertical line. If a list must be same\",\n \"to None] List of minimum y values to start the vertical line. If\",\n \"[optional, defaults to None] List of minimum x values to start the horizontal\",\n \"+ plotutils.HATCH_LIST], None], # style=[str, [\\\"pass\\\", []], None], # xlim=[float, [\\\"pass\\\", []], 2],\",\n \"number will be used as the minimum x values for all vertical lines.\",\n \"The 'width,height' of plot in inches. legend [optional, defaults to True] Whether to\",\n \"'hist' for a histogram. bootstrap_size : int [optional, defaults to 50] The size\",\n \"List of x values where to place a vertical line. vlines_ymin: [optional, defaults\",\n \"= 1 if pltfreq == \\\"none\\\": short_freq = \\\"\\\" else: # short freq\",\n \"[\\\" \\\"] else: linestyles = [\\\" \\\" if i in [\\\" \\\", None]\",\n \"be same length as `hlines_y`. If None will take for the standard linestyles\",\n \"None], # vlines_linestyles=[ # str, # [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\"\",\n \"style strings as time-series to plot. You supplied '{}' for style which has\",\n \"\\\"seaborn-poster\\\", \\\"seaborn-talk\\\", \\\"seaborn-ticks\\\", \\\"seaborn-white\\\", \\\"seaborn-whitegrid\\\", \\\"tableau-colorblind10\\\", and SciencePlots styles \\\"science\\\", \\\"grid\\\", \\\"ieee\\\", \\\"scatter\\\",\",\n \"Need to work around some old option defaults with the implementation of #\",\n \"produce step-plots. 'steps' is equivalent to 'steps-pre' and is maintained for backward-compatibility. ACCEPTS::\",\n \"the plot. For example, '--xlim 1,1000' would limit the plot from 1 to\",\n \"a number from 0 to 9 that gets the Nth color from the\",\n \"# -*- coding: utf-8 -*- \\\"\\\"\\\"Collection of functions for the manipulation of time\",\n \"\\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.LINE_LIST], # None, # ], # vlines_x=[float,\",\n \"1], # bootstrap_size=[int, [\\\"range\\\", [0, None]], 1], # xy_match_line=[str, [\\\"pass\\\", []], 1], #\",\n \"\\\"scatter\\\", \\\"notebook\\\", \\\"high-vis\\\", \\\"bright\\\", \\\"vibrant\\\", \\\"muted\\\", and \\\"retro\\\". If multiple styles then each\",\n \"= tsutils.make_list(linestyles) if bar_hatchstyles == \\\"auto\\\": bar_hatchstyles = plotutils.HATCH_LIST else: bar_hatchstyles = tsutils.make_list(bar_hatchstyles)\",\n \"a list of strings if using the Python API. To not display lines\",\n \"yellow | +------+---------+ | k | black | +------+---------+ 3. Number between 0\",\n \"| : | dotted | +---------+--------------+ | None | draw nothing | +---------+--------------+\",\n \"1], # legend_names=[str, [\\\"pass\\\", []], 1], # subplots=[bool, [\\\"domain\\\", [True, False]], 1], #\",\n \"plot style. hlines_linestyles: [optional, defaults to None] List of linestyles for the horizontal\",\n \"used as the color for all horizontal lines. If a list must be\",\n \"burlywood | +------------------+ | chartreuse | +------------------+ | ...etc. | +------------------+ Color reference:\",\n \"use '--type=\\\"lognorm_xaxis\\\"' instead. lognorm_yaxis DEPRECATED: use '--type=\\\"lognorm_yaxis\\\"' instead. xy_match_line : str [optional, defaults\",\n \"1: markerstyles.append(\\\" \\\") linestyles.append(\\\"-\\\") continue if st[1] in plotutils.MARKER_LIST: markerstyles.append(st[1]) try: linestyles.append(st[2:]) except\",\n \"+------+---------+ | r | red | +------+---------+ | c | cyan | +------+---------+\",\n \"= tsutils.make_list(hlines_colors) hlines_linestyles = tsutils.make_list(hlines_linestyles) nxlim = ax.get_xlim() if hlines_xmin is None: hlines_xmin\",\n \"API. To not display lines use a space (' ') as the linestyle\",\n \"round_index=None, plotting_position=\\\"weibull\\\", prob_plot_sort_values=\\\"descending\\\", source_units=None, target_units=None, lag_plot_lag=1, plot_styles=\\\"bright\\\", hlines_y=None, hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\\\"-\\\", vlines_x=None,\",\n \"[\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.LINE_LIST], None], # markerstyles=[str, [\\\"domain\\\",\",\n \"When using a secondary_y axis, should the legend label the axis of the\",\n \"of maximum x values to end each horizontal line. If a list must\",\n \"== \\\"auto\\\": linestyles = plotutils.LINE_LIST else: linestyles = tsutils.make_list(linestyles) if bar_hatchstyles == \\\"auto\\\":\",\n \"| ``-`` | solid | +---------+--------------+ | -- | dashed | +---------+--------------+ |\",\n \"'arithmetic'] Defines the type of the yaxis. One of 'arithmetic', 'log'. secondary_y [optional,\",\n \"a single number will be used as the minimum x values for all\",\n \"9 that gets the Nth color from the current style. 2. Single character\",\n \"hlines_colors: [optional, defaults to None] List of colors for the horizontal lines. If\",\n \"if bar_hatchstyles == \\\"auto\\\": bar_hatchstyles = plotutils.HATCH_LIST else: bar_hatchstyles = tsutils.make_list(bar_hatchstyles) if markerstyles\",\n \"--logy use --yaxis=\\\"log\\\" * For --norm_xaxis use --type=\\\"norm_xaxis\\\" * For --norm_yaxis use --type=\\\"norm_yaxis\\\"\",\n \"None if imarkerstyles is not None: m = next(imarkerstyles) else: m = None\",\n \"is None: markerstyles = \\\" \\\" if style != \\\"auto\\\": nstyle = tsutils.make_list(style)\",\n \"as the linestyle code. Separated 'colors', 'linestyles', and 'markerstyles' instead of using the\",\n \"a list must be same length as `hlines_y`. If a single number will\",\n \"four different ways. 1. Use 'CN' where N is a number from 0\",\n \"None: vlines_x = tsutils.make_list(vlines_x) vlines_ymin = tsutils.make_list(vlines_ymin) vlines_ymax = tsutils.make_list(vlines_ymax) vlines_colors = tsutils.make_list(vlines_colors)\",\n \"else i for i in plot_styles ] plt.style.use(plot_styles) figsize = tsutils.make_list(figsize, n=2) _,\",\n \"is True: plt.gca().invert_xaxis() if invert_yaxis is True: plt.gca().invert_yaxis() plt.grid(grid) plt.title(title) plt.tight_layout() if ofilename\",\n \"use '--type=\\\"lognorm_yaxis\\\"' instead. xy_match_line : str [optional, defaults is ''] Will add a\",\n \"# scatter_matrix_diagonal=[str, [\\\"domain\\\", [\\\"kde\\\", \\\"hist\\\"]], 1], # bootstrap_size=[int, [\\\"range\\\", [0, None]], 1], #\",\n \"hlines_xmax = nxlim[1] if vlines_x is not None: vlines_x = tsutils.make_list(vlines_x) vlines_ymin =\",\n \"sharex=[bool, [\\\"domain\\\", [True, False]], 1], # sharey=[bool, [\\\"domain\\\", [True, False]], 1], # colors=[str,\",\n \"is \\\"default\\\"] Set the style of the plot. One or more of Matplotlib\",\n \"plt.hlines( hlines_y, hlines_xmin, hlines_xmax, colors=hlines_colors, linestyles=hlines_linestyles, ) if vlines_x is not None: if\",\n \"vertical line. If a list must be same length as `vlines_x`. If a\",\n \"is None will return the Matplotlib figure that can then be changed or\",\n \"plt = kde( input_ts=input_ts, columns=columns, start_date=start_date, end_date=end_date, clean=clean, skiprows=skiprows, index_type=index_type, names=names, ofilename=ofilename, xtitle=xtitle,\",\n \"(' ') as the linestyle code. Separated 'colors', 'linestyles', and 'markerstyles' instead of\",\n \"[\\\"kde\\\", \\\"probability_density\\\"]: ax = tsd.plot.kde( legend=legend, subplots=subplots, sharex=sharex, sharey=sharey, style=None, logx=logx, logy=logy, xlim=xlim,\",\n \"x | +-------+----------------+ | D | diamond | +-------+----------------+ | d | thin\",\n \"[]], None], # hlines_xmax=[float, [\\\"pass\\\", []], None], # hlines_colors=[str, [\\\"pass\\\", []], None], #\",\n \"\\\"auto\\\": linestyles = plotutils.LINE_LIST else: linestyles = tsutils.make_list(linestyles) if bar_hatchstyles == \\\"auto\\\": bar_hatchstyles\",\n \"== \\\"auto\\\": markerstyles = plotutils.MARKER_LIST else: markerstyles = tsutils.make_list(markerstyles) if markerstyles is None:\",\n \"[\\\"pass\\\", []], None], # linestyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"]\",\n \"color=c) plt.setp(line, marker=m) plt.setp(line, linestyle=l) ytitle = ytitle or \\\"Density\\\" if legend is\",\n \"each vertical line. If a list must be same length as `vlines_x`. If\",\n \"lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. {columns} {start_date} {end_date} {clean} {skiprows} {index_type} {names} {source_units}\",\n \"\\\"bmh\\\", # \\\"dark_background\\\", # \\\"fast\\\", # \\\"fivethirtyeight\\\", # \\\"ggplot\\\", # \\\"grayscale\\\", # \\\"seaborn\\\",\",\n \"import matplotlib.pyplot as plt from matplotlib.ticker import FixedLocator tsd = tsutils.common_kwds( input_ts, skiprows=skiprows,\",\n \"strings if using the Python API. +-----------------+-------------------+ | bar_hatchstyles | Description | +=================+===================+\",\n \"\\\"bright\\\", \\\"vibrant\\\", and \\\"muted\\\" are all styles that are setup to be able\",\n \"with color blindness. Black, White, and Gray Styles The \\\"ieee\\\" style is appropriate\",\n \"defaults to None] List of x values where to place a vertical line.\",\n \"\\\"ieee\\\", \\\"scatter\\\", \\\"notebook\\\", \\\"high-vis\\\", \\\"bright\\\", \\\"vibrant\\\", \\\"muted\\\", and \\\"retro\\\". If multiple styles then\",\n \"lines on the major ticks. label_rotation : int [optional] Rotation for major labels\",\n \"| +------+---------+ | c | cyan | +------+---------+ | m | magenta |\",\n \"lognorm_yaxis, weibull_xaxis, and weibull_yaxis. {columns} {start_date} {end_date} {clean} {skiprows} {index_type} {names} {source_units} {target_units}\",\n \"plotutils warnings.filterwarnings(\\\"ignore\\\") @mando.command(\\\"kde\\\", formatter_class=RSTHelpFormatter, doctype=\\\"numpy\\\") @tsutils.doc(plotutils.ldocstrings) def kde_cli( input_ts=\\\"-\\\", columns=None, start_date=None, end_date=None, clean=False,\",\n \"grid [optional, default is False] Whether to plot grid lines on the major\",\n \"# @tsutils.validator( # ofilename=[str, [\\\"pass\\\", []], 1], # type=[str, [\\\"domain\\\", [\\\"kde\\\",],], 1,], #\",\n \"[\\\"pass\\\", []], 1], # figsize=[float, [\\\"range\\\", [0, None]], 2], # legend=[bool, [\\\"domain\\\", [True,\",\n \"of chart. figsize : str [optional, defaults to '10,6.5'] The 'width,height' of plot\",\n \"title : str [optional, defaults to ''] Title of chart. figsize : str\",\n \"if type in [\\\"norm_yaxis\\\", \\\"lognorm_yaxis\\\", \\\"weibull_yaxis\\\"]: hlines_y = ppf(tsutils.make_list(hlines_y)) plt.hlines( hlines_y, hlines_xmin, hlines_xmax,\",\n \"strings if using the Python API. Separated 'colors', 'linestyles', and 'markerstyles' instead of\",\n \"| 1 | tri_down | +-------+----------------+ | 2 | tri_up | +-------+----------------+ |\",\n \"'scatter_matrix', this specifies the plot along the diagonal. One of 'kde' for Kernel\",\n \"[optional, default is \\\"default\\\"] Set the style of the plot. One or more\",\n \"lines. A missing value or None will start at the minimum x value\",\n \"clean=clean, por=por, ) tsd, lnames = plotutils.check(type, tsd, legend_names) # This is to\",\n \",1000' would base the lower limit on the data and set the upper\",\n \"markerstyles.append(\\\" \\\") linestyles.append(\\\"-\\\") continue if st[1] in plotutils.MARKER_LIST: markerstyles.append(st[1]) try: linestyles.append(st[2:]) except IndexError:\",\n \"range of y values] Comma separated lower and upper limits for the y-axis\",\n \"using the 'style' keyword. +---------+--------------+ | Code | Lines | +=========+==============+ | ``-``\",\n \"i for i in markerstyles] if colors is not None: icolors = itertools.cycle(colors)\",\n \"legend_names) # This is to help pretty print the frequency try: try: pltfreq\",\n \"if st[1] in plotutils.MARKER_LIST: markerstyles.append(st[1]) try: linestyles.append(st[2:]) except IndexError: linestyles.append(\\\" \\\") else: markerstyles.append(\\\"\",\n \"tsutils.make_list(vlines_x) vlines_ymin = tsutils.make_list(vlines_ymin) vlines_ymax = tsutils.make_list(vlines_ymax) vlines_colors = tsutils.make_list(vlines_colors) vlines_linestyles = tsutils.make_list(vlines_linestyles)\",\n \"is white an 1 is black. 4. Any of the HTML color names.\",\n \"to plot on secondary y-axis. mark_right [optional, default is True] When using a\",\n \"will be used as the linestyle for all vertical lines. If a list\",\n \"to None] Legend would normally use the time-series names associated with the input\",\n \"@tsutils.doc(plotutils.ldocstrings) def kde_cli( input_ts=\\\"-\\\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\\\"datetime\\\", names=None, ofilename=\\\"plot.png\\\", xtitle=\\\"\\\",\",\n \"invert_yaxis=[bool, [\\\"domain\\\", [True, False]], 1], # plotting_position=[ # str, # [ # \\\"domain\\\",\",\n \"style, len(nstyle), len(tsd.columns) ) ) ) colors = [] markerstyles = [] linestyles\",\n \"os.pardir, \\\"SciencePlots_styles\\\" ) plot_styles = [ os.path.join(style_loc, i + \\\".mplstyle\\\") if os.path.exists(os.path.join(style_loc, i\",\n \"| +------------------+ | burlywood | +------------------+ | chartreuse | +------------------+ | ...etc. |\",\n \"| +-------+----------------+ | s | square | +-------+----------------+ | p | pentagon |\",\n \"# ], # prob_plot_sort_values=[str, [\\\"domain\\\", [\\\"ascending\\\", \\\"descending\\\"]], 1], # plot_styles=[ # str, #\",\n \"as time-series to plot. You supplied '{}' for style which has {} style\",\n \"styles: https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_reference.html SciencePlots styles: https://github.com/garrettj403/SciencePlots hlines_y: [optional, defaults to None] Number or list\",\n \"of x values] Comma separated lower and upper limits for the x-axis of\",\n \"| +-----------------+-------------------+ | * | stars | +-----------------+-------------------+ logx DEPRECATED: use '--xaxis=\\\"log\\\"' instead.\",\n \"[\\\"domain\\\", [True, False]], 1], # plotting_position=[ # str, # [ # \\\"domain\\\", #\",\n \"list must be same length as `hlines_y`. If None will take from the\",\n \"\\\"norm_yaxis\\\", \\\"lognorm_yaxis\\\", \\\"weibull_yaxis\\\", ]: if hlines_y is not None: if type in [\\\"norm_yaxis\\\",\",\n \"| > | triangle right | +-------+----------------+ | 1 | tri_down | +-------+----------------+\",\n \"for the plot. Extension defines the type, for example 'filename.png' will create a\",\n \"\\\" \\\", \\\" \\\"] + plotutils.LINE_LIST], None], # markerstyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\",\",\n \"subplots=True, share y axis. colors [optional, default is 'auto'] The default 'auto' will\",\n \"\\\"seaborn-paper\\\", # \\\"seaborn-pastel\\\", # \\\"seaborn-poster\\\", # \\\"seaborn-talk\\\", # \\\"seaborn-ticks\\\", # \\\"seaborn-white\\\", # \\\"seaborn-whitegrid\\\",\",\n \"linestyle then will be used as the linestyle for all horizontal lines. If\",\n \"+ \\\".mplstyle\\\") if os.path.exists(os.path.join(style_loc, i + \\\".mplstyle\\\")) else i for i in plot_styles\",\n \"used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. {columns} {start_date} {end_date} {clean}\",\n \"yaxis : str [optional, default is 'arithmetic'] Defines the type of the yaxis.\",\n \"else: m = None if ilinestyles is not None: l = next(ilinestyles) else:\",\n \"the vertical line. If a list must be same length as `vlines_x`. If\",\n \"vlines_ymax, colors=vlines_colors, linestyles=vlines_linestyles, ) plt.xlabel(xtitle) plt.ylabel(ytitle) if invert_xaxis is True: plt.gca().invert_xaxis() if invert_yaxis\",\n \"Color Blind Appropriate Styles The styles \\\"seaborn-colorblind\\\", \\\"tableau-colorblind10\\\", \\\"bright\\\", \\\"vibrant\\\", and \\\"muted\\\" are\",\n \"For --norm_xaxis use --type=\\\"norm_xaxis\\\" * For --norm_yaxis use --type=\\\"norm_yaxis\\\" * For --lognorm_xaxis use\",\n \"colors=hlines_colors, linestyles=hlines_linestyles, ) if vlines_x is not None: if type in [\\\"norm_xaxis\\\", \\\"lognorm_xaxis\\\",\",\n \"None | draw nothing | +---------+--------------+ | ' ' | draw nothing |\",\n \"lognorm_yaxis is True ): warnings.warn( \\\"\\\"\\\" * * The --logx, --logy, --norm_xaxis, --norm_yaxis,\",\n \"* --lognorm_yaxis options are deprecated. * * For --logx use --xaxis=\\\"log\\\" * For\",\n \"plot_styles = [ os.path.join(style_loc, i + \\\".mplstyle\\\") if os.path.exists(os.path.join(style_loc, i + \\\".mplstyle\\\")) else\",\n \"+-------+----------------+ | v | triangle down | +-------+----------------+ | ^ | triangle up\",\n \"None], # bar_hatchstyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.HATCH_LIST],\",\n \"color codes, or within Python a list of color code strings. Can identify\",\n \"plot along the diagonal. One of 'kde' for Kernel Density Estimation or 'hist'\",\n \"[optional, defaults to None] Legend would normally use the time-series names associated with\",\n \"plots. label_skip : int [optional] Skip for major labels for bar plots. drawstyle\",\n \"--norm_xaxis use --type=\\\"norm_xaxis\\\" * For --norm_yaxis use --type=\\\"norm_yaxis\\\" * For --lognorm_xaxis use --type=\\\"lognorm_xaxis\\\"\",\n \"skiprows=None, index_type=\\\"datetime\\\", names=None, ofilename=\\\"plot.png\\\", xtitle=\\\"\\\", ytitle=\\\"\\\", title=\\\"\\\", figsize=\\\"10,6.0\\\", legend=None, legend_names=None, subplots=False, sharex=True, sharey=False,\",\n \"None: hlines_xmin = nxlim[0] if hlines_xmax is None: hlines_xmax = nxlim[1] if vlines_x\",\n \"# \\\"seaborn-talk\\\", # \\\"seaborn-ticks\\\", # \\\"seaborn-white\\\", # \\\"seaborn-whitegrid\\\", # \\\"tableau-colorblind10\\\", # \\\"science\\\", #\",\n \"\\\"ieee\\\", # \\\"scatter\\\", # \\\"notebook\\\", # \\\"high-vis\\\", # \\\"bright\\\", # \\\"vibrant\\\", # \\\"muted\\\",\",\n \"| 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post'] por [optional] Plot from first\",\n \"\\\"Solarize_Light2\\\", \\\"bmh\\\", \\\"dark_background\\\", \\\"fast\\\", \\\"fivethirtyeight\\\", \\\"ggplot\\\", \\\"grayscale\\\", \\\"seaborn\\\", \\\"seaborn-bright\\\", \\\"seaborn-colorblind\\\", \\\"seaborn-dark\\\", \\\"seaborn-dark-palette\\\", \\\"seaborn-darkgrid\\\",\",\n \"1], # invert_xaxis=[bool, [\\\"domain\\\", [True, False]], 1], # invert_yaxis=[bool, [\\\"domain\\\", [True, False]], 1],\",\n \"diamond | +-------+----------------+ | d | thin diamond | +-------+----------------+ | _ |\",\n \"\\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.LINE_LIST], None], # markerstyles=[str, [\\\"domain\\\", [\\\"auto\\\", None,\",\n \"norm_xaxis=False, norm_yaxis=False, lognorm_xaxis=False, lognorm_yaxis=False, xy_match_line=\\\"\\\", grid=False, label_rotation=None, label_skip=1, force_freq=None, drawstyle=\\\"default\\\", por=False, invert_xaxis=False, invert_yaxis=False,\",\n \"[True, False]], 1], # label_rotation=[float, [\\\"pass\\\", []], 1], # label_skip=[int, [\\\"range\\\", [1, None]],\",\n \"ofilename=ofilename, xtitle=xtitle, ytitle=ytitle, title=title, figsize=figsize, legend=legend, legend_names=legend_names, subplots=subplots, sharex=sharex, sharey=sharey, colors=colors, linestyles=linestyles, markerstyles=markerstyles,\",\n \"density function based on the data called kernel density estimation (KDE). {ydata} Parameters\",\n \"list, or a list of strings if using the Python API. +-----------------+-------------------+ |\",\n \"all styles that are setup to be able to be distinguished by someone\",\n \"None, # ], # vlines_x=[float, [\\\"pass\\\", []], None], # vlines_ymin=[float, [\\\"pass\\\", []], None],\",\n \"plot. vlines_ymax: [optional, defaults to None] List of maximum x values to end\",\n \"= None if ilinestyles is not None: l = next(ilinestyles) else: l =\",\n \"[\\\"weibull\\\", \\\"benard\\\", \\\"tukey\\\", \\\"gumbel\\\", \\\"hazen\\\", \\\"cunnane\\\", \\\"california\\\"], # ], # 1, # ],\",\n \"will take from the color pallette in the current plot style. vlines_linestyles: [optional,\",\n \"xtitle=xtitle, ytitle=ytitle, title=title, figsize=figsize, legend=legend, legend_names=legend_names, subplots=subplots, sharex=sharex, sharey=sharey, colors=colors, linestyles=linestyles, markerstyles=markerstyles, bar_hatchstyles=bar_hatchstyles,\",\n \"+------------------+ | ...etc. | +------------------+ Color reference: http://matplotlib.org/api/colors_api.html linestyles [optional, default to 'auto']\",\n \"+-------+----------------+ | H | hexagon2 | +-------+----------------+ | ``+`` | plus | +-------+----------------+\",\n \"== \\\"none\\\": short_freq = \\\"\\\" else: # short freq string (day) OR (2\",\n \"If a list must be same length as `hlines_y`. If None will take\",\n \"the x-axis. invert_yaxis [optional, default is False] Invert the y-axis. plotting_position : str\",\n \"[1, None]], 1], # xtitle=[str, [\\\"pass\\\", []], 1], # ytitle=[str, [\\\"pass\\\", []], 1],\",\n \"'markerstyles' options. Currently the 'style' option will override the others. Comma separated matplotlib\",\n \"gray. Matplotlib styles: https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_reference.html SciencePlots styles: https://github.com/garrettj403/SciencePlots hlines_y: [optional, defaults to None] Number\",\n \"y-axis of the plot. See `xlim` for examples. xaxis : str [optional, default\",\n \"plot_styles=[ # str, # [ # \\\"domain\\\", # [ # \\\"classic\\\", # \\\"Solarize_Light2\\\",\",\n \"hlines_linestyles=\\\"-\\\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\\\"-\\\", **kwds, ): r\\\"\\\"\\\"Plot data.\\\"\\\"\\\" # Need to\",\n \"\\\"grayscale\\\" is another style useful for photo-copyable black, white, nd gray. Matplotlib styles:\",\n \"The --logx, --logy, --norm_xaxis, --norm_yaxis, --lognorm_xaxis, and * --lognorm_yaxis options are deprecated. *\",\n \"then will be used as the color for all horizontal lines. If a\",\n \"= next(icolors) else: c = None if imarkerstyles is not None: m =\",\n \"line. vlines_ymin: [optional, defaults to None] List of minimum y values to start\",\n \"horizontal line. hlines_xmin: [optional, defaults to None] List of minimum x values to\",\n \"linestyles = [\\\" \\\"] else: linestyles = [\\\" \\\" if i in [\\\"\",\n \"in plot_styles ] plt.style.use(plot_styles) figsize = tsutils.make_list(figsize, n=2) _, ax = plt.subplots(figsize=figsize) if\",\n \"nothing | +---------+--------------+ | '' | draw nothing | +---------+--------------+ Line reference: http://matplotlib.org/api/artist_api.html\",\n \"linestyles for the vertical lines. If a single linestyle then will be used\",\n \"probability density function based on the data called kernel density estimation (KDE). {ydata}\",\n \"\\\"barh_stacked\\\"] If 'auto' will iterate through the available matplotlib hatch types. Otherwise on\",\n \"figsize : str [optional, defaults to '10,6.5'] The 'width,height' of plot in inches.\",\n \"...etc. | +------------------+ Color reference: http://matplotlib.org/api/colors_api.html linestyles [optional, default to 'auto'] If 'auto'\",\n \"Names | +==================+ | red | +------------------+ | burlywood | +------------------+ | chartreuse\",\n \"scatter_matrix_diagonal=[str, [\\\"domain\\\", [\\\"kde\\\", \\\"hist\\\"]], 1], # bootstrap_size=[int, [\\\"range\\\", [0, None]], 1], # xy_match_line=[str,\",\n \"None], # style=[str, [\\\"pass\\\", []], None], # xlim=[float, [\\\"pass\\\", []], 2], # ylim=[float,\",\n \"the axis of the various time-series automatically. scatter_matrix_diagonal : str [optional, defaults to\",\n \"\\\"auto\\\": markerstyles = plotutils.MARKER_LIST else: markerstyles = tsutils.make_list(markerstyles) if markerstyles is None: markerstyles\",\n \"default is False] Whether to plot grid lines on the major ticks. label_rotation\",\n \"to 1] The lag used if ``type`` \\\"lag_plot\\\" is chosen. xtitle : str\",\n \"of plot in inches. legend [optional, defaults to True] Whether to display the\",\n \"length as `vlines_x`. If None will take from the color pallette in the\",\n \"None, \\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.LINE_LIST], # None, # ], #\",\n \"title=[str, [\\\"pass\\\", []], 1], # figsize=[float, [\\\"range\\\", [0, None]], 2], # legend=[bool, [\\\"domain\\\",\",\n \"+------+---------+ 3. Number between 0 and 1 that represents the level of gray,\",\n \"type in [\\\"kde\\\", \\\"probability_density\\\"]: ax = tsd.plot.kde( legend=legend, subplots=subplots, sharex=sharex, sharey=sharey, style=None, logx=logx,\",\n \"must be same length as `hlines_y`. If None will take for the standard\",\n \"tsutils.make_list(markerstyles) if markerstyles is None: markerstyles = \\\" \\\" if style != \\\"auto\\\":\",\n \"multiple styles then each over rides some or all of the characteristics of\",\n \"the entire plot. hlines_xmax: [optional, defaults to None] List of maximum x values\",\n \"style strings per time-series. Just combine codes in 'ColorMarkerLine' order, for example 'r*--'\",\n \"thin diamond | +-------+----------------+ | _ | hlines_y | +-------+----------------+ | None |\",\n \"lag_plot_lag=1, plot_styles=\\\"bright\\\", hlines_y=None, hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\\\"-\\\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\\\"-\\\", **kwds,\",\n \"colors=\\\"auto\\\", linestyles=\\\"auto\\\", markerstyles=\\\" \\\", bar_hatchstyles=\\\"auto\\\", style=\\\"auto\\\", logx=False, logy=False, xaxis=\\\"arithmetic\\\", yaxis=\\\"arithmetic\\\", xlim=None, ylim=None, secondary_y=False,\",\n \"as the linestyle for all horizontal lines. If a list must be same\",\n \"= plotutils.know_your_limits(xlim, axis=xaxis) ylim = plotutils.know_your_limits(ylim, axis=yaxis) plot_styles = tsutils.make_list(plot_styles) + [\\\"no-latex\\\"] style_loc\",\n \"nylim[0] if vlines_ymax is None: vlines_ymax = nylim[1] if type in [ \\\"time\\\",\",\n \"[]], 1], # por=[bool, [\\\"domain\\\", [True, False]], 1], # invert_xaxis=[bool, [\\\"domain\\\", [True, False]],\",\n \"have the same number of style strings as time-series to plot. You supplied\",\n \"single linestyle then will be used as the linestyle for all horizontal lines.\",\n \"scatter_matrix_diagonal=scatter_matrix_diagonal, bootstrap_size=bootstrap_size, bootstrap_samples=bootstrap_samples, norm_xaxis=norm_xaxis, norm_yaxis=norm_yaxis, lognorm_xaxis=lognorm_xaxis, lognorm_yaxis=lognorm_yaxis, xy_match_line=xy_match_line, grid=grid, label_rotation=label_rotation, label_skip=label_skip, force_freq=force_freq, drawstyle=drawstyle,\",\n \"\\\"weibull_yaxis\\\"]: hlines_y = ppf(tsutils.make_list(hlines_y)) plt.hlines( hlines_y, hlines_xmin, hlines_xmax, colors=hlines_colors, linestyles=hlines_linestyles, ) if vlines_x\",\n \"a comma separated list, or a list of strings if using the Python\",\n \"for bar plots. label_skip : int [optional] Skip for major labels for bar\",\n \"limit on the data and set the upper limit to 1000. ylim [optional,\",\n \"tri_left | +-------+----------------+ | 4 | tri_right | +-------+----------------+ | 8 | octagon\",\n \"using a secondary_y axis, should the legend label the axis of the various\",\n \"comma separated list, or a list of strings if using the Python API.\",\n \"based on range of y values] Comma separated lower and upper limits for\",\n \"For --lognorm_xaxis use --type=\\\"lognorm_xaxis\\\" * For --lognorm_yaxis use --type=\\\"lognorm_yaxis\\\" * \\\"\\\"\\\" ) if\",\n \"b | blue | +------+---------+ | g | green | +------+---------+ | r\",\n \"and \\\"barh_stacked\\\"] If 'auto' will iterate through the available matplotlib hatch types. Otherwise\",\n \"points with lines. The steps variants produce step-plots. 'steps' is equivalent to 'steps-pre'\",\n \"[\\\"domain\\\", [\\\"arithmetic\\\", \\\"log\\\"]], 1], # yaxis=[str, [\\\"domain\\\", [\\\"arithmetic\\\", \\\"log\\\"]], 1], # secondary_y=[bool, [\\\"domain\\\",\",\n \"'bootstrap_size'. norm_xaxis DEPRECATED: use '--type=\\\"norm_xaxis\\\"' instead. norm_yaxis DEPRECATED: use '--type=\\\"norm_yaxis\\\"' instead. lognorm_xaxis DEPRECATED:\",\n \"= ppf(tsutils.make_list(vlines_x)) plt.vlines( vlines_x, vlines_ymin, vlines_ymax, colors=vlines_colors, linestyles=vlines_linestyles, ) plt.xlabel(xtitle) plt.ylabel(ytitle) if invert_xaxis\",\n \"vlines_linestyles=\\\"-\\\", **kwds, ): r\\\"\\\"\\\"Plot data.\\\"\\\"\\\" # Need to work around some old option\",\n \"at the minimum x value for the entire plot. vlines_ymax: [optional, defaults to\",\n \"for the horizontal lines. If a single linestyle then will be used as\",\n \"icolors = itertools.cycle(colors) else: icolors = None imarkerstyles = itertools.cycle(markerstyles) ilinestyles = itertools.cycle(linestyles)\",\n \"+---------+--------------+ | '' | draw nothing | +---------+--------------+ Line reference: http://matplotlib.org/api/artist_api.html markerstyles [optional,\",\n \"\\\"seaborn-colorblind\\\", \\\"tableau-colorblind10\\\", \\\"bright\\\", \\\"vibrant\\\", and \\\"muted\\\" are all styles that are setup to\",\n \"None] List of maximum x values to end each horizontal line. If a\",\n \"\\\" if i is None else i for i in markerstyles] if colors\",\n \"import absolute_import, division, print_function import itertools import os import warnings import mando import\",\n \"| +---------+--------------+ | -- | dashed | +---------+--------------+ | -. | dash_dot |\",\n \"source_units=source_units, target_units=target_units, lag_plot_lag=lag_plot_lag, plot_styles=plot_styles, hlines_y=hlines_y, hlines_xmin=hlines_xmin, hlines_xmax=hlines_xmax, hlines_colors=hlines_colors, hlines_linestyles=hlines_linestyles, vlines_x=vlines_x, vlines_ymin=vlines_ymin, vlines_ymax=vlines_ymax, vlines_colors=vlines_colors,\",\n \"\\\"vibrant\\\", # \\\"muted\\\", # \\\"retro\\\", # ], # ], # None, # ],\",\n \"defines the type, for example 'filename.png' will create a PNG file. If used\",\n \"Color reference: http://matplotlib.org/api/colors_api.html linestyles [optional, default to 'auto'] If 'auto' will iterate through\",\n \"| hexagon1 | +-------+----------------+ | H | hexagon2 | +-------+----------------+ | ``+`` |\",\n \"else: l = None if c is not None: plt.setp(line, color=c) plt.setp(line, marker=m)\",\n \"lag_plot_lag [optional, default to 1] The lag used if ``type`` \\\"lag_plot\\\" is chosen.\",\n \"plt.setp(line, marker=m) plt.setp(line, linestyle=l) ytitle = ytitle or \\\"Density\\\" if legend is True:\",\n \"for photo-copyable black, white, nd gray. Matplotlib styles: https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_reference.html SciencePlots styles: https://github.com/garrettj403/SciencePlots hlines_y:\",\n \"hlines_colors=None, hlines_linestyles=\\\"-\\\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\\\"-\\\", ): r\\\"\\\"\\\"Kernel density estimation of probability\",\n \"color pallette in the current plot style. vlines_linestyles: [optional, defaults to None] List\",\n \"--type=\\\"lognorm_yaxis\\\" * \\\"\\\"\\\" ) if xaxis == \\\"log\\\": logx = True if yaxis\",\n \"round_index=round_index, plotting_position=plotting_position, prob_plot_sort_values=prob_plot_sort_values, source_units=source_units, target_units=target_units, lag_plot_lag=lag_plot_lag, plot_styles=plot_styles, hlines_y=hlines_y, hlines_xmin=hlines_xmin, hlines_xmax=hlines_xmax, hlines_colors=hlines_colors, hlines_linestyles=hlines_linestyles, vlines_x=vlines_x,\",\n \"+ plotutils.LINE_LIST], # None, # ], # ) def kde( input_ts=\\\"-\\\", columns=None, start_date=None,\",\n \"--norm_yaxis use --type=\\\"norm_yaxis\\\" * For --lognorm_xaxis use --type=\\\"lognorm_xaxis\\\" * For --lognorm_yaxis use --type=\\\"lognorm_yaxis\\\"\",\n \"an 1 is black. 4. Any of the HTML color names. +------------------+ |\",\n \"current plot style. hlines_linestyles: [optional, defaults to None] List of linestyles for the\",\n \"c is not None: plt.setp(line, color=c) plt.setp(line, marker=m) plt.setp(line, linestyle=l) ytitle = ytitle\",\n \"not None: m = next(imarkerstyles) else: m = None if ilinestyles is not\",\n \"v | triangle down | +-------+----------------+ | ^ | triangle up | +-------+----------------+\",\n \"iterate through the available matplotlib line types. Otherwise on the command line a\",\n \"hlines_y, hlines_xmin, hlines_xmax, colors=hlines_colors, linestyles=hlines_linestyles, ) if vlines_x is not None: if type\",\n \"if markerstyles is None: markerstyles = \\\" \\\" if style != \\\"auto\\\": nstyle\",\n \"same length as `hlines_y`. If a single number will be the maximum x\",\n \"of the yaxis. One of 'arithmetic', 'log'. secondary_y [optional, default is False] Whether\",\n \"os import warnings import mando import numpy as np import pandas as pd\",\n \"x-axis. ytitle : str [optional, default depends on ``type``] Title of y-axis. title\",\n \"Density Estimation or 'hist' for a histogram. bootstrap_size : int [optional, defaults to\",\n \"chosen style. At the command line supply a comma separated matplotlib color codes,\",\n \"= plotutils.LINE_LIST else: linestyles = tsutils.make_list(linestyles) if bar_hatchstyles == \\\"auto\\\": bar_hatchstyles = plotutils.HATCH_LIST\",\n \"label the axis of the various time-series automatically. scatter_matrix_diagonal : str [optional, defaults\",\n \"# \\\"dark_background\\\", # \\\"fast\\\", # \\\"fivethirtyeight\\\", # \\\"ggplot\\\", # \\\"grayscale\\\", # \\\"seaborn\\\", #\",\n \"\\\"\\\"\\\".format( style, len(nstyle), len(tsd.columns) ) ) ) colors = [] markerstyles = []\",\n \"beginstr = 1 if pltfreq == \\\"none\\\": short_freq = \\\"\\\" else: # short\",\n \"True] Whether to display the legend. legend_names : str [optional, defaults to None]\",\n \"ppf(tsutils.make_list(hlines_y)) plt.hlines( hlines_y, hlines_xmin, hlines_xmax, colors=hlines_colors, linestyles=hlines_linestyles, ) if vlines_x is not None:\",\n \"another style useful for photo-copyable black, white, nd gray. Matplotlib styles: https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_reference.html SciencePlots\",\n \"vlines_linestyles=[ # str, # [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"] +\",\n \"be used as the linestyle for all vertical lines. If a list must\",\n \"used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. prob_plot_sort_values : str [optional,\",\n \"as `vlines_x`. If a single number will be the maximum x value for\",\n \"between 0 and 1 that represents the level of gray, where 0 is\",\n \"\\\"muted\\\", and \\\"retro\\\". If multiple styles then each over rides some or all\",\n \"[optional, defaults to None] List of linestyles for the horizontal lines. If a\",\n \"target_units=target_units, clean=clean, por=por, ) tsd, lnames = plotutils.check(type, tsd, legend_names) # This is\",\n \"for the entire plot. hlines_xmax: [optional, defaults to None] List of maximum x\",\n \"xaxis : str [optional, default is 'arithmetic'] Defines the type of the xaxis.\",\n \"type of the xaxis. One of 'arithmetic', 'log'. yaxis : str [optional, default\",\n \"# \\\"grayscale\\\", # \\\"seaborn\\\", # \\\"seaborn-bright\\\", # \\\"seaborn-colorblind\\\", # \\\"seaborn-dark\\\", # \\\"seaborn-dark-palette\\\", #\",\n \"add a match line where x == y. Set to a line style\",\n \"values for the probability plots. Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis,\",\n \"style code. grid [optional, default is False] Whether to plot grid lines on\",\n \"\\\"ggplot\\\", \\\"grayscale\\\", \\\"seaborn\\\", \\\"seaborn-bright\\\", \\\"seaborn-colorblind\\\", \\\"seaborn-dark\\\", \\\"seaborn-dark-palette\\\", \\\"seaborn-darkgrid\\\", \\\"seaborn-deep\\\", \\\"seaborn-muted\\\", \\\"seaborn-notebook\\\", \\\"seaborn-paper\\\", \\\"seaborn-pastel\\\",\",\n \"within Python a list of color code strings. Can identify colors in four\",\n \"used as the linestyle for all vertical lines. If a list must be\",\n \"small circle | +-----------------+-------------------+ | O | large circle | +-----------------+-------------------+ | .\",\n \"\\\"] + plotutils.LINE_LIST], # None, # ], # vlines_x=[float, [\\\"pass\\\", []], None], #\",\n \"white an 1 is black. 4. Any of the HTML color names. +------------------+\",\n \"[\\\"domain\\\", [True, False]], 1], # sharey=[bool, [\\\"domain\\\", [True, False]], 1], # colors=[str, [\\\"pass\\\",\",\n \"\\\"utf-8\\\").lower() except TypeError: pltfreq = str(tsd.index.freq).lower() if pltfreq.split(\\\" \\\")[0][1:] == \\\"1\\\": beginstr =\",\n \"# label_rotation=[float, [\\\"pass\\\", []], 1], # label_skip=[int, [\\\"range\\\", [1, None]], 1], # drawstyle=[str,\",\n \"of the \\\"IEEE\\\" journal. The \\\"grayscale\\\" is another style useful for photo-copyable black,\",\n \"+======+=========+ | b | blue | +------+---------+ | g | green | +------+---------+\",\n \"defaults to None] List of colors for the horizontal lines. If a single\",\n \"--norm_yaxis, --lognorm_xaxis, and * --lognorm_yaxis options are deprecated. * * For --logx use\",\n \"import pandas as pd from mando.rst_text_formatter import RSTHelpFormatter from tstoolbox import tsutils from\",\n \"plot_styles ] plt.style.use(plot_styles) figsize = tsutils.make_list(figsize, n=2) _, ax = plt.subplots(figsize=figsize) if type\",\n \"str [optional, defaults to '10,6.5'] The 'width,height' of plot in inches. legend [optional,\",\n \"If multiple styles then each over rides some or all of the characteristics\",\n \"y-axis. title : str [optional, defaults to ''] Title of chart. figsize :\",\n \"# type=[str, [\\\"domain\\\", [\\\"kde\\\",],], 1,], # lag_plot_lag=[int, [\\\"range\\\", [1, None]], 1], # xtitle=[str,\",\n \"value. Strips NANs from beginning and end. {force_freq} invert_xaxis [optional, default is False]\",\n \"bar plots. label_skip : int [optional] Skip for major labels for bar plots.\",\n \"str, # [ # \\\"domain\\\", # [\\\"weibull\\\", \\\"benard\\\", \\\"tukey\\\", \\\"gumbel\\\", \\\"hazen\\\", \\\"cunnane\\\", \\\"california\\\"],\",\n \"label_skip=1, force_freq=None, drawstyle=\\\"default\\\", por=False, invert_xaxis=False, invert_yaxis=False, round_index=None, plotting_position=\\\"weibull\\\", prob_plot_sort_values=\\\"descending\\\", source_units=None, target_units=None, lag_plot_lag=1, plot_styles=\\\"bright\\\",\",\n \"grid=False, label_rotation=None, label_skip=1, force_freq=None, drawstyle=\\\"default\\\", por=False, invert_xaxis=False, invert_yaxis=False, round_index=None, plotting_position=\\\"weibull\\\", prob_plot_sort_values=\\\"descending\\\", source_units=None, target_units=None,\",\n \"\\\" \\\", \\\" \\\"] + plotutils.LINE_LIST], # None, # ], # vlines_x=[float, [\\\"pass\\\",\",\n \"same length as `hlines_y`. If None will take from the color pallette in\",\n \"\\\"california\\\"], # ], # 1, # ], # prob_plot_sort_values=[str, [\\\"domain\\\", [\\\"ascending\\\", \\\"descending\\\"]], 1],\",\n \"pltfreq.split(\\\" \\\")[0][1:] == \\\"1\\\": beginstr = 3 else: beginstr = 1 if pltfreq\",\n \"| +------+---------+ | g | green | +------+---------+ | r | red |\",\n \"and 'markerstyles' options. Currently the 'style' option will override the others. Comma separated\",\n \"1], # label_rotation=[float, [\\\"pass\\\", []], 1], # label_skip=[int, [\\\"range\\\", [1, None]], 1], #\",\n \"'steps' is equivalent to 'steps-pre' and is maintained for backward-compatibility. ACCEPTS:: ['default' |\",\n \"as the color for all vertical lines. If a list must be same\",\n \"x | x | +-------+----------------+ | D | diamond | +-------+----------------+ | d\",\n \"plotting_position=[ # str, # [ # \\\"domain\\\", # [\\\"weibull\\\", \\\"benard\\\", \\\"tukey\\\", \\\"gumbel\\\", \\\"hazen\\\",\",\n \"instead of using the 'style' keyword. +---------+--------------+ | Code | Lines | +=========+==============+\",\n \"logy DEPRECATED: use '--yaxis=\\\"log\\\"' instead. xlim [optional, default is based on range of\",\n \"style. hlines_linestyles: [optional, defaults to None] List of linestyles for the horizontal lines.\",\n \"in plotutils.MARKER_LIST: markerstyles.append(st[1]) try: linestyles.append(st[2:]) except IndexError: linestyles.append(\\\" \\\") else: markerstyles.append(\\\" \\\") linestyles.append(st[1:])\",\n \"xaxis. One of 'arithmetic', 'log'. yaxis : str [optional, default is 'arithmetic'] Defines\",\n \"depends on ``type``] Title of y-axis. title : str [optional, defaults to '']\",\n \"style_loc = os.path.join( os.path.dirname(__file__), os.pardir, \\\"SciencePlots_styles\\\" ) plot_styles = [ os.path.join(style_loc, i +\",\n \"single color then will be used as the color for all horizontal lines.\",\n \"r\\\"\\\"\\\"Kernel density estimation of probability density function. \\\"kde\\\" will create a plot of\",\n \"norm_yaxis DEPRECATED: use '--type=\\\"norm_yaxis\\\"' instead. lognorm_xaxis DEPRECATED: use '--type=\\\"lognorm_xaxis\\\"' instead. lognorm_yaxis DEPRECATED: use\",\n \"False] Whether to plot on the secondary y-axis. If a list/tuple, which time-series\",\n \"length as `hlines_y`. If None will take from the color pallette in the\",\n \"H | hexagon2 | +-------+----------------+ | ``+`` | plus | +-------+----------------+ | x\",\n \"the available matplotlib hatch types. Otherwise on the command line a comma separated\",\n \"{columns} {start_date} {end_date} {clean} {skiprows} {index_type} {names} {source_units} {target_units} {round_index} plot_styles: str [optional,\",\n \"default is \\\"default\\\"] Set the style of the plot. One or more of\",\n \"None]], 1], # drawstyle=[str, [\\\"pass\\\", []], 1], # por=[bool, [\\\"domain\\\", [True, False]], 1],\",\n \"norm_yaxis=False, lognorm_xaxis=False, lognorm_yaxis=False, xy_match_line=\\\"\\\", grid=False, label_rotation=None, label_skip=1, force_freq=None, drawstyle=\\\"default\\\", por=False, invert_xaxis=False, invert_yaxis=False, round_index=None,\",\n \"separated list, or a list of strings if using the Python API. Separated\",\n \"maximum x values to end each horizontal line. If a list must be\",\n \"if invert_yaxis is True: plt.gca().invert_yaxis() plt.grid(grid) plt.title(title) plt.tight_layout() if ofilename is not None:\",\n \"reference: http://matplotlib.org/api/markers_api.html style [optional, default is None] Still available, but if None is\",\n \"invert_xaxis [optional, default is False] Invert the x-axis. invert_yaxis [optional, default is False]\",\n \"`hlines_y`. If None will take for the standard linestyles list. vlines_x: [optional, defaults\",\n \"< | triangle left | +-------+----------------+ | > | triangle right | +-------+----------------+\",\n \"Number between 0 and 1 that represents the level of gray, where 0\",\n \"= None if imarkerstyles is not None: m = next(imarkerstyles) else: m =\",\n \"blindness. Black, White, and Gray Styles The \\\"ieee\\\" style is appropriate for black,\",\n \"in linestyles] markerstyles = [\\\" \\\" if i is None else i for\",\n \"| +-------+----------------+ | 1 | tri_down | +-------+----------------+ | 2 | tri_up |\",\n \"bootstrap_size=bootstrap_size, bootstrap_samples=bootstrap_samples, norm_xaxis=norm_xaxis, norm_yaxis=norm_yaxis, lognorm_xaxis=lognorm_xaxis, lognorm_yaxis=lognorm_yaxis, xy_match_line=xy_match_line, grid=grid, label_rotation=label_rotation, label_skip=label_skip, force_freq=force_freq, drawstyle=drawstyle, por=por,\",\n \"plotutils.LINE_LIST], # None, # ], # vlines_x=[float, [\\\"pass\\\", []], None], # vlines_ymin=[float, [\\\"pass\\\",\",\n \"x | crossed diagonal | +-----------------+-------------------+ | o | small circle | +-----------------+-------------------+\",\n \"= tsutils.make_list(colors) if linestyles == \\\"auto\\\": linestyles = plotutils.LINE_LIST else: linestyles = tsutils.make_list(linestyles)\",\n \"l = None if c is not None: plt.setp(line, color=c) plt.setp(line, marker=m) plt.setp(line,\",\n \"[optional, defaults to 'kde'] If plot type is 'scatter_matrix', this specifies the plot\",\n \"the manipulation of time series.\\\"\\\"\\\" from __future__ import absolute_import, division, print_function import itertools\",\n \"Color Names | +==================+ | red | +------------------+ | burlywood | +------------------+ |\",\n \"1], # colors=[str, [\\\"pass\\\", []], None], # linestyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\"\",\n \"secondary_y=False, mark_right=True, scatter_matrix_diagonal=\\\"kde\\\", bootstrap_size=50, bootstrap_samples=500, norm_xaxis=False, norm_yaxis=False, lognorm_xaxis=False, lognorm_yaxis=False, xy_match_line=\\\"\\\", grid=False, label_rotation=None, label_skip=1,\",\n \"[\\\"domain\\\", [True, False]], 1], # mark_right=[bool, [\\\"domain\\\", [True, False]], 1], # scatter_matrix_diagonal=[str, [\\\"domain\\\",\",\n \"1], # xy_match_line=[str, [\\\"pass\\\", []], 1], # grid=[bool, [\\\"domain\\\", [True, False]], 1], #\",\n \"* For --lognorm_xaxis use --type=\\\"lognorm_xaxis\\\" * For --lognorm_yaxis use --type=\\\"lognorm_yaxis\\\" * \\\"\\\"\\\" )\",\n \"DEPRECATED: use '--type=\\\"lognorm_xaxis\\\"' instead. lognorm_yaxis DEPRECATED: use '--type=\\\"lognorm_yaxis\\\"' instead. xy_match_line : str [optional,\",\n \"[\\\"kde\\\", \\\"hist\\\"]], 1], # bootstrap_size=[int, [\\\"range\\\", [0, None]], 1], # xy_match_line=[str, [\\\"pass\\\", []],\",\n \"\\\"] else: linestyles = [\\\" \\\" if i in [\\\" \\\", None] else\",\n \"depends on ``type``] Title of x-axis. ytitle : str [optional, default depends on\",\n \"1], # plotting_position=[ # str, # [ # \\\"domain\\\", # [\\\"weibull\\\", \\\"benard\\\", \\\"tukey\\\",\",\n \"1000. ylim [optional, default is based on range of y values] Comma separated\",\n \"random subsets of 'bootstrap_size'. norm_xaxis DEPRECATED: use '--type=\\\"norm_xaxis\\\"' instead. norm_yaxis DEPRECATED: use '--type=\\\"norm_yaxis\\\"'\",\n \"Estimation or 'hist' for a histogram. bootstrap_size : int [optional, defaults to 50]\",\n \"True] In case subplots=True, share x axis. sharey [optional, default to False] In\",\n \"for all vertical lines. A missing value or None will start at the\",\n \"| horizontal | +-----------------+-------------------+ | + | crossed | +-----------------+-------------------+ | x |\",\n \"the \\\"IEEE\\\" journal. The \\\"grayscale\\\" is another style useful for photo-copyable black, white,\",\n \"[optional] Skip for major labels for bar plots. drawstyle : str [optional, default\",\n \"return the Matplotlib figure that can then be changed or added to as\",\n \"then will be used as the linestyle for all horizontal lines. If a\",\n \"default is based on range of y values] Comma separated lower and upper\",\n \"legend_names=legend_names, subplots=subplots, sharex=sharex, sharey=sharey, colors=colors, linestyles=linestyles, markerstyles=markerstyles, bar_hatchstyles=bar_hatchstyles, style=style, logx=logx, logy=logy, xaxis=xaxis, yaxis=yaxis,\",\n \"+ plotutils.LINE_LIST], None], # markerstyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"]\",\n \"plotutils.know_your_limits(ylim, axis=yaxis) plot_styles = tsutils.make_list(plot_styles) + [\\\"no-latex\\\"] style_loc = os.path.join( os.path.dirname(__file__), os.pardir, \\\"SciencePlots_styles\\\"\",\n \": str [optional, defaults to ''] Title of chart. figsize : str [optional,\",\n \"3 | tri_left | +-------+----------------+ | 4 | tri_right | +-------+----------------+ | 8\",\n \"| +=======+================+ | . | point | +-------+----------------+ | o | circle |\",\n \"1], # xtitle=[str, [\\\"pass\\\", []], 1], # ytitle=[str, [\\\"pass\\\", []], 1], # title=[str,\",\n \"| small circle | +-----------------+-------------------+ | O | large circle | +-----------------+-------------------+ |\",\n \"minimum x values for all vertical lines. A missing value or None will\",\n \"tsd.plot.kde( legend=legend, subplots=subplots, sharex=sharex, sharey=sharey, style=None, logx=logx, logy=logy, xlim=xlim, ylim=ylim, secondary_y=secondary_y, figsize=figsize, )\",\n \"day) short_freq = \\\"({})\\\".format(pltfreq[beginstr:-1]) except AttributeError: short_freq = \\\"\\\" if colors == \\\"auto\\\":\",\n \"None is replaced by 'colors', 'linestyles', and 'markerstyles' options. Currently the 'style' option\",\n \"estimation (KDE). {ydata} Parameters ---------- {input_ts} ofilename : str [optional, defaults to 'plot.png']\",\n \"chartreuse | +------------------+ | ...etc. | +------------------+ Color reference: http://matplotlib.org/api/colors_api.html linestyles [optional, default\",\n \"| crossed | +-----------------+-------------------+ | x | crossed diagonal | +-----------------+-------------------+ | o\",\n \"to have the same number of style strings as time-series to plot. You\",\n \"Description | +=================+===================+ | / | diagonal hatching | +-----------------+-------------------+ | ``\\\\`` |\",\n \"| +---------+--------------+ | : | dotted | +---------+--------------+ | None | draw nothing\",\n \"tsutils.make_list(hlines_colors) hlines_linestyles = tsutils.make_list(hlines_linestyles) nxlim = ax.get_xlim() if hlines_xmin is None: hlines_xmin =\",\n \"current style. 2. Single character code from the table below. +------+---------+ | Code\",\n \"Legend would normally use the time-series names associated with the input data. The\",\n \"[optional, default is True] When using a secondary_y axis, should the legend label\",\n \"hlines_y = tsutils.make_list(hlines_y) hlines_xmin = tsutils.make_list(hlines_xmin) hlines_xmax = tsutils.make_list(hlines_xmax) hlines_colors = tsutils.make_list(hlines_colors) hlines_linestyles\",\n \"\\\"auto\\\": bar_hatchstyles = plotutils.HATCH_LIST else: bar_hatchstyles = tsutils.make_list(bar_hatchstyles) if markerstyles == \\\"auto\\\": markerstyles\",\n \"linestyles] markerstyles = [\\\" \\\" if i is None else i for i\",\n \"AttributeError: short_freq = \\\"\\\" if colors == \\\"auto\\\": colors = None else: colors\",\n \"+------+---------+ | c | cyan | +------+---------+ | m | magenta | +------+---------+\",\n \"to help pretty print the frequency try: try: pltfreq = str(tsd.index.freq, \\\"utf-8\\\").lower() except\",\n \"vlines_ymax=None, vlines_colors=None, vlines_linestyles=\\\"-\\\", ): r\\\"\\\"\\\"Kernel density estimation of probability density function. \\\"kde\\\" will\",\n \"[\\\"domain\\\", [True, False]], 1], # colors=[str, [\\\"pass\\\", []], None], # linestyles=[str, [\\\"domain\\\", [\\\"auto\\\",\",\n \"table below. +------+---------+ | Code | Color | +======+=========+ | b | blue\",\n \"lines. If a list must be same length as `vlines_x`. If None will\",\n \"lognorm_yaxis, weibull_xaxis, and weibull_yaxis. prob_plot_sort_values : str [optional, default is 'descending'] How to\",\n \"One or more of Matplotlib styles \\\"classic\\\", \\\"Solarize_Light2\\\", \\\"bmh\\\", \\\"dark_background\\\", \\\"fast\\\", \\\"fivethirtyeight\\\", \\\"ggplot\\\",\",\n \"secondary_y=secondary_y, figsize=figsize, ) for index, line in enumerate(ax.lines): if icolors is not None:\",\n \"| +------------------+ | chartreuse | +------------------+ | ...etc. | +------------------+ Color reference: http://matplotlib.org/api/colors_api.html\",\n \"all horizontal lines. A missing value or None will end at the maximum\",\n \"implementation of # mando legend = bool(legend == \\\"\\\" or legend == \\\"True\\\"\",\n \"[]], 1], # grid=[bool, [\\\"domain\\\", [True, False]], 1], # label_rotation=[float, [\\\"pass\\\", []], 1],\",\n \"| Lines | +=========+==============+ | ``-`` | solid | +---------+--------------+ | -- |\",\n \"available, but if None is replaced by 'colors', 'linestyles', and 'markerstyles' options. Currently\",\n \"for example 'r*--' is a red dashed line with star marker. bar_hatchstyles [optional,\",\n \"# \\\"fivethirtyeight\\\", # \\\"ggplot\\\", # \\\"grayscale\\\", # \\\"seaborn\\\", # \\\"seaborn-bright\\\", # \\\"seaborn-colorblind\\\", #\",\n \"'filename.png' will create a PNG file. If used within Python, and `ofilename` is\",\n \"None will take for the standard linestyles list. \\\"\\\"\\\" plt = kde( input_ts=input_ts,\",\n \"# \\\"seaborn-deep\\\", # \\\"seaborn-muted\\\", # \\\"seaborn-notebook\\\", # \\\"seaborn-paper\\\", # \\\"seaborn-pastel\\\", # \\\"seaborn-poster\\\", #\",\n \"| +------+---------+ | y | yellow | +------+---------+ | k | black |\",\n \"separated lower and upper limits for the y-axis of the plot. See `xlim`\",\n \"plot grid lines on the major ticks. label_rotation : int [optional] Rotation for\",\n \"data set. You must supply a comma separated list of strings for each\",\n \"maximum x values to end each vertical line. If a list must be\",\n \"[\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.MARKER_LIST], None], # bar_hatchstyles=[str, [\\\"domain\\\",\",\n \"None] List of x values where to place a vertical line. vlines_ymin: [optional,\",\n \"None]], 2], # legend=[bool, [\\\"domain\\\", [True, False]], 1], # legend_names=[str, [\\\"pass\\\", []], 1],\",\n \"\\\"weibull_xaxis\\\", \\\"norm_yaxis\\\", \\\"lognorm_yaxis\\\", \\\"weibull_yaxis\\\", ]: if hlines_y is not None: if type in\",\n \"+---------+--------------+ | -- | dashed | +---------+--------------+ | -. | dash_dot | +---------+--------------+\",\n \"invert_yaxis is True: plt.gca().invert_yaxis() plt.grid(grid) plt.title(title) plt.tight_layout() if ofilename is not None: plt.savefig(ofilename)\",\n \"values where to place a vertical line. vlines_ymin: [optional, defaults to None] List\",\n \"of the plot. For example, '--xlim 1,1000' would limit the plot from 1\",\n \"HTML Color Names | +==================+ | red | +------------------+ | burlywood | +------------------+\",\n \"must be same length as `vlines_x`. If a single number will be the\",\n \"not None: if type in [\\\"norm_yaxis\\\", \\\"lognorm_yaxis\\\", \\\"weibull_yaxis\\\"]: hlines_y = ppf(tsutils.make_list(hlines_y)) plt.hlines( hlines_y,\",\n \"take from the color pallette in the current plot style. hlines_linestyles: [optional, defaults\",\n \"g | green | +------+---------+ | r | red | +------+---------+ | c\",\n \"from tstoolbox import tsutils from .. import plotutils warnings.filterwarnings(\\\"ignore\\\") @mando.command(\\\"kde\\\", formatter_class=RSTHelpFormatter, doctype=\\\"numpy\\\") @tsutils.doc(plotutils.ldocstrings)\",\n \"{force_freq} invert_xaxis [optional, default is False] Invert the x-axis. invert_yaxis [optional, default is\",\n \"x values to end each horizontal line. If a list must be same\",\n \"| +-------+----------------+ | < | triangle left | +-------+----------------+ | > | triangle\",\n \": str [optional, defaults to 'kde'] If plot type is 'scatter_matrix', this specifies\",\n \"draw nothing | +---------+--------------+ | ' ' | draw nothing | +---------+--------------+ |\",\n \"__future__ import absolute_import, division, print_function import itertools import os import warnings import mando\",\n \"share y axis. colors [optional, default is 'auto'] The default 'auto' will cycle\",\n \"], # ) def kde( input_ts=\\\"-\\\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\\\"datetime\\\", names=None,\",\n \"= plotutils.MARKER_LIST else: markerstyles = tsutils.make_list(markerstyles) if markerstyles is None: markerstyles = \\\"\",\n \"!= \\\"auto\\\": nstyle = tsutils.make_list(style) if len(nstyle) != len(tsd.columns): raise ValueError( tsutils.error_wrapper( \\\"\\\"\\\"\",\n \"from mando.rst_text_formatter import RSTHelpFormatter from tstoolbox import tsutils from .. import plotutils warnings.filterwarnings(\\\"ignore\\\")\",\n \"keyword. +---------+--------------+ | Code | Lines | +=========+==============+ | ``-`` | solid |\",\n \": str [optional, default is 'weibull'] {plotting_position_table} Only used for norm_xaxis, norm_yaxis, lognorm_xaxis,\",\n \"level of gray, where 0 is white an 1 is black. 4. Any\",\n \"print_function import itertools import os import warnings import mando import numpy as np\",\n \"columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\\\"datetime\\\", names=None, ofilename=\\\"plot.png\\\", xtitle=\\\"\\\", ytitle=\\\"\\\", title=\\\"\\\", figsize=\\\"10,6.0\\\", legend=None,\",\n \"with the input data. The 'legend_names' option allows you to override the names\",\n \"| +-----------------+-------------------+ logx DEPRECATED: use '--xaxis=\\\"log\\\"' instead. logy DEPRECATED: use '--yaxis=\\\"log\\\"' instead. xlim\",\n \"estimation of probability density function. \\\"kde\\\" will create a plot of estimation of\",\n \"# lag_plot_lag=[int, [\\\"range\\\", [1, None]], 1], # xtitle=[str, [\\\"pass\\\", []], 1], # ytitle=[str,\",\n \"| +-------+----------------+ | 3 | tri_left | +-------+----------------+ | 4 | tri_right |\",\n \"plt.vlines( vlines_x, vlines_ymin, vlines_ymax, colors=vlines_colors, linestyles=vlines_linestyles, ) plt.xlabel(xtitle) plt.ylabel(ytitle) if invert_xaxis is True:\",\n \"| Description | +=================+===================+ | / | diagonal hatching | +-----------------+-------------------+ | ``\\\\``\",\n \"figsize=figsize, ) for index, line in enumerate(ax.lines): if icolors is not None: c\",\n \"[optional, defaults is ''] Will add a match line where x == y.\",\n \"plotutils.MARKER_LIST], None], # bar_hatchstyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"] +\",\n \"int [optional, defaults to 50] The size of the random subset for 'bootstrap'\",\n \"the values for the probability plots. Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis,\",\n \"the characteristics of the previous. Color Blind Appropriate Styles The styles \\\"seaborn-colorblind\\\", \\\"tableau-colorblind10\\\",\",\n \"# xlim=[float, [\\\"pass\\\", []], 2], # ylim=[float, [\\\"pass\\\", []], 2], # xaxis=[str, [\\\"domain\\\",\",\n \"for all horizontal lines. A missing value or None will end at the\",\n \"for style which has {} style strings, but you have {} time-series. \\\"\\\"\\\".format(\",\n \"[\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.MARKER_LIST], None], # bar_hatchstyles=[str,\",\n \"| diagonal hatching | +-----------------+-------------------+ | ``\\\\`` | back diagonal | +-----------------+-------------------+ |\",\n \"colors = tsutils.make_list(colors) if linestyles == \\\"auto\\\": linestyles = plotutils.LINE_LIST else: linestyles =\",\n \"is None: vlines_ymax = nylim[1] if type in [ \\\"time\\\", \\\"xy\\\", \\\"bar\\\", \\\"bar_stacked\\\",\",\n \"| +-----------------+-------------------+ | ``\\\\`` | back diagonal | +-----------------+-------------------+ | ``|`` | vertical\",\n \"nylim[1] if type in [ \\\"time\\\", \\\"xy\\\", \\\"bar\\\", \\\"bar_stacked\\\", \\\"histogram\\\", \\\"norm_xaxis\\\", \\\"lognorm_xaxis\\\", \\\"weibull_xaxis\\\",\",\n \"if using the Python API. To not display lines use a space ('\",\n \"for the standard linestyles list. vlines_x: [optional, defaults to None] List of x\",\n \"of the plot. One or more of Matplotlib styles \\\"classic\\\", \\\"Solarize_Light2\\\", \\\"bmh\\\", \\\"dark_background\\\",\",\n \"legend_names=None, subplots=False, sharex=True, sharey=False, colors=\\\"auto\\\", linestyles=\\\"auto\\\", markerstyles=\\\" \\\", bar_hatchstyles=\\\"auto\\\", style=\\\"auto\\\", logx=False, logy=False, xaxis=\\\"arithmetic\\\",\",\n \"or a list of strings if using the Python API. To not display\",\n \"\\\".mplstyle\\\") if os.path.exists(os.path.join(style_loc, i + \\\".mplstyle\\\")) else i for i in plot_styles ]\",\n \"The styles \\\"seaborn-colorblind\\\", \\\"tableau-colorblind10\\\", \\\"bright\\\", \\\"vibrant\\\", and \\\"muted\\\" are all styles that are\",\n \"values to end each vertical line. If a list must be same length\",\n \"markerstyles == \\\"auto\\\": markerstyles = plotutils.MARKER_LIST else: markerstyles = tsutils.make_list(markerstyles) if markerstyles is\",\n \"| s | square | +-------+----------------+ | p | pentagon | +-------+----------------+ |\",\n \"'default'] 'default' connects the points with lines. The steps variants produce step-plots. 'steps'\",\n \"line. If a list must be same length as `vlines_x`. If a single\",\n \"the data and set the upper limit to 1000. ylim [optional, default is\",\n \"instead. norm_yaxis DEPRECATED: use '--type=\\\"norm_yaxis\\\"' instead. lognorm_xaxis DEPRECATED: use '--type=\\\"lognorm_xaxis\\\"' instead. lognorm_yaxis DEPRECATED:\",\n \"'arithmetic', 'log'. yaxis : str [optional, default is 'arithmetic'] Defines the type of\",\n \"True or lognorm_xaxis is True or lognorm_yaxis is True ): warnings.warn( \\\"\\\"\\\" *\",\n \"chosen. xtitle : str [optional, default depends on ``type``] Title of x-axis. ytitle\",\n \": str [optional, default depends on ``type``] Title of y-axis. title : str\",\n \"for each time-series in the data set. subplots [optional, defaults to False] Make\",\n \"[0, None]], 1], # xy_match_line=[str, [\\\"pass\\\", []], 1], # grid=[bool, [\\\"domain\\\", [True, False]],\",\n \"lnames = plotutils.check(type, tsd, legend_names) # This is to help pretty print the\",\n \"for the entire plot. vlines_ymax: [optional, defaults to None] List of maximum x\",\n \"if ( logx is True or logy is True or norm_xaxis is True\",\n \") if xaxis == \\\"log\\\": logx = True if yaxis == \\\"log\\\": logy\",\n \"{} style strings, but you have {} time-series. \\\"\\\"\\\".format( style, len(nstyle), len(tsd.columns) )\",\n \"if type equal to \\\"bar\\\", \\\"barh\\\", \\\"bar_stacked\\\", and \\\"barh_stacked\\\"] If 'auto' will iterate\",\n \"# mando legend = bool(legend == \\\"\\\" or legend == \\\"True\\\" or legend\",\n \"= \\\"\\\" if colors == \\\"auto\\\": colors = None else: colors = tsutils.make_list(colors)\",\n \"por=por, ) tsd, lnames = plotutils.check(type, tsd, legend_names) # This is to help\",\n \"\\\"cunnane\\\", \\\"california\\\"], # ], # 1, # ], # prob_plot_sort_values=[str, [\\\"domain\\\", [\\\"ascending\\\", \\\"descending\\\"]],\",\n \"False] Invert the y-axis. plotting_position : str [optional, default is 'weibull'] {plotting_position_table} Only\",\n \"None: if type in [\\\"norm_yaxis\\\", \\\"lognorm_yaxis\\\", \\\"weibull_yaxis\\\"]: hlines_y = ppf(tsutils.make_list(hlines_y)) plt.hlines( hlines_y, hlines_xmin,\",\n \"and upper limits for the y-axis of the plot. See `xlim` for examples.\",\n \"a histogram. bootstrap_size : int [optional, defaults to 50] The size of the\",\n \"use --type=\\\"lognorm_yaxis\\\" * \\\"\\\"\\\" ) if xaxis == \\\"log\\\": logx = True if\",\n \"the color pallette in the current plot style. hlines_linestyles: [optional, defaults to None]\",\n \"octagon | +-------+----------------+ | s | square | +-------+----------------+ | p | pentagon\",\n \"code. grid [optional, default is False] Whether to plot grid lines on the\",\n \"string (day) OR (2 day) short_freq = \\\"({})\\\".format(pltfreq[beginstr:-1]) except AttributeError: short_freq = \\\"\\\"\",\n \"bootstrap_samples=bootstrap_samples, norm_xaxis=norm_xaxis, norm_yaxis=norm_yaxis, lognorm_xaxis=lognorm_xaxis, lognorm_yaxis=lognorm_yaxis, xy_match_line=xy_match_line, grid=grid, label_rotation=label_rotation, label_skip=label_skip, force_freq=force_freq, drawstyle=drawstyle, por=por, invert_xaxis=invert_xaxis,\",\n \"str [optional, default is 'weibull'] {plotting_position_table} Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis,\",\n \"the names in the data set. You must supply a comma separated list\",\n \"the chart size to fit in a column of the \\\"IEEE\\\" journal. The\",\n \"[0, None]], 2], # legend=[bool, [\\\"domain\\\", [True, False]], 1], # legend_names=[str, [\\\"pass\\\", []],\",\n \"plot in inches. legend [optional, defaults to True] Whether to display the legend.\",\n \"end. {force_freq} invert_xaxis [optional, default is False] Invert the x-axis. invert_yaxis [optional, default\",\n \"False]], 1], # legend_names=[str, [\\\"pass\\\", []], 1], # subplots=[bool, [\\\"domain\\\", [True, False]], 1],\",\n \"the linestyle code. Separated 'colors', 'linestyles', and 'markerstyles' instead of using the 'style'\",\n \"xlim=[float, [\\\"pass\\\", []], 2], # ylim=[float, [\\\"pass\\\", []], 2], # xaxis=[str, [\\\"domain\\\", [\\\"arithmetic\\\",\",\n \"markerstyles = [\\\" \\\" if i is None else i for i in\",\n \"[optional, default is False] Invert the y-axis. plotting_position : str [optional, default is\",\n \"be used as the minimum x values for all vertical lines. A missing\",\n \"ibar_hatchstyles = itertools.cycle(bar_hatchstyles) if ( logx is True or logy is True or\",\n \"\\\"descending\\\"]], 1], # plot_styles=[ # str, # [ # \\\"domain\\\", # [ #\",\n \"| thin diamond | +-------+----------------+ | _ | hlines_y | +-------+----------------+ | None\",\n \"x-axis. invert_yaxis [optional, default is False] Invert the y-axis. plotting_position : str [optional,\",\n \"plotutils.check(type, tsd, legend_names) # This is to help pretty print the frequency try:\",\n \"list must be same length as `vlines_x`. If None will take for the\",\n \"if colors is not None: icolors = itertools.cycle(colors) else: icolors = None imarkerstyles\",\n \"| blue | +------+---------+ | g | green | +------+---------+ | r |\",\n \"# [ # \\\"classic\\\", # \\\"Solarize_Light2\\\", # \\\"bmh\\\", # \\\"dark_background\\\", # \\\"fast\\\", #\",\n \"+---------+--------------+ | : | dotted | +---------+--------------+ | None | draw nothing |\",\n \"None] else i for i in linestyles] markerstyles = [\\\" \\\" if i\",\n \"space (' ') as the linestyle code. Separated 'colors', 'linestyles', and 'markerstyles' instead\",\n \"use a space (' ') as the linestyle code. Separated 'colors', 'linestyles', and\",\n \"legend_names : str [optional, defaults to None] Legend would normally use the time-series\",\n \"# \\\"classic\\\", # \\\"Solarize_Light2\\\", # \\\"bmh\\\", # \\\"dark_background\\\", # \\\"fast\\\", # \\\"fivethirtyeight\\\", #\",\n \"hlines_xmin = tsutils.make_list(hlines_xmin) hlines_xmax = tsutils.make_list(hlines_xmax) hlines_colors = tsutils.make_list(hlines_colors) hlines_linestyles = tsutils.make_list(hlines_linestyles) nxlim\",\n \"work around some old option defaults with the implementation of # mando legend\",\n \"else: beginstr = 1 if pltfreq == \\\"none\\\": short_freq = \\\"\\\" else: #\",\n \"xy_match_line : str [optional, defaults is ''] Will add a match line where\",\n \"ax = tsd.plot.kde( legend=legend, subplots=subplots, sharex=sharex, sharey=sharey, style=None, logx=logx, logy=logy, xlim=xlim, ylim=ylim, secondary_y=secondary_y,\",\n \"Matplotlib figure that can then be changed or added to as needed. lag_plot_lag\",\n \"\\\"weibull_yaxis\\\", ]: if hlines_y is not None: if type in [\\\"norm_yaxis\\\", \\\"lognorm_yaxis\\\", \\\"weibull_yaxis\\\"]:\",\n \"logx DEPRECATED: use '--xaxis=\\\"log\\\"' instead. logy DEPRECATED: use '--yaxis=\\\"log\\\"' instead. xlim [optional, default\",\n \"--lognorm_xaxis use --type=\\\"lognorm_xaxis\\\" * For --lognorm_yaxis use --type=\\\"lognorm_yaxis\\\" * \\\"\\\"\\\" ) if xaxis\",\n \"== \\\"1\\\": beginstr = 3 else: beginstr = 1 if pltfreq == \\\"none\\\":\",\n \"``*`` | star | +-------+----------------+ | h | hexagon1 | +-------+----------------+ | H\",\n \"Python API. +-----------------+-------------------+ | bar_hatchstyles | Description | +=================+===================+ | / | diagonal\",\n \"], # vlines_x=[float, [\\\"pass\\\", []], None], # vlines_ymin=[float, [\\\"pass\\\", []], None], # vlines_ymax=[float,\",\n \"s | square | +-------+----------------+ | p | pentagon | +-------+----------------+ | ``*``\",\n \"| triangle down | +-------+----------------+ | ^ | triangle up | +-------+----------------+ |\",\n \"[\\\"kde\\\",],], 1,], # lag_plot_lag=[int, [\\\"range\\\", [1, None]], 1], # xtitle=[str, [\\\"pass\\\", []], 1],\",\n \"function. \\\"kde\\\" will create a plot of estimation of the probability density function\",\n \"of estimation of the probability density function based on the data called kernel\",\n \"\\\"classic\\\", \\\"Solarize_Light2\\\", \\\"bmh\\\", \\\"dark_background\\\", \\\"fast\\\", \\\"fivethirtyeight\\\", \\\"ggplot\\\", \\\"grayscale\\\", \\\"seaborn\\\", \\\"seaborn-bright\\\", \\\"seaborn-colorblind\\\", \\\"seaborn-dark\\\", \\\"seaborn-dark-palette\\\",\",\n \"styles that are setup to be able to be distinguished by someone with\",\n \"``-`` | solid | +---------+--------------+ | -- | dashed | +---------+--------------+ | -.\",\n \"str [optional, default is 'arithmetic'] Defines the type of the xaxis. One of\",\n \"is equivalent to 'steps-pre' and is maintained for backward-compatibility. ACCEPTS:: ['default' | 'steps'\",\n \"for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and weibull_yaxis. {columns} {start_date} {end_date} {clean} {skiprows}\",\n \"= tsutils.make_list(vlines_ymin) vlines_ymax = tsutils.make_list(vlines_ymax) vlines_colors = tsutils.make_list(vlines_colors) vlines_linestyles = tsutils.make_list(vlines_linestyles) nylim =\",\n \"label_rotation : int [optional] Rotation for major labels for bar plots. label_skip :\",\n \"dashed | +---------+--------------+ | -. | dash_dot | +---------+--------------+ | : | dotted\",\n \"| tri_left | +-------+----------------+ | 4 | tri_right | +-------+----------------+ | 8 |\",\n \"type = \\\"kde\\\" import matplotlib matplotlib.use(\\\"Agg\\\") import matplotlib.pyplot as plt from matplotlib.ticker import\",\n \"is 'auto'] The default 'auto' will cycle through matplotlib colors in the chosen\",\n \"{} time-series. \\\"\\\"\\\".format( style, len(nstyle), len(tsd.columns) ) ) ) colors = [] markerstyles\",\n \"None imarkerstyles = itertools.cycle(markerstyles) ilinestyles = itertools.cycle(linestyles) # Only for bar, barh, bar_stacked,\",\n \") colors = [] markerstyles = [] linestyles = [] for st in\",\n \"| draw nothing | +---------+--------------+ | ' ' | draw nothing | +---------+--------------+\",\n \"ValueError( tsutils.error_wrapper( \\\"\\\"\\\" You have to have the same number of style strings\",\n \"tsutils.make_list(plot_styles) + [\\\"no-latex\\\"] style_loc = os.path.join( os.path.dirname(__file__), os.pardir, \\\"SciencePlots_styles\\\" ) plot_styles = [\",\n \"default is 'weibull'] {plotting_position_table} Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis, weibull_xaxis, and\",\n \"| +-----------------+-------------------+ | o | small circle | +-----------------+-------------------+ | O | large\",\n \"1 | tri_down | +-------+----------------+ | 2 | tri_up | +-------+----------------+ | 3\",\n \"sharey=[bool, [\\\"domain\\\", [True, False]], 1], # colors=[str, [\\\"pass\\\", []], None], # linestyles=[str, [\\\"domain\\\",\",\n \"pltfreq = str(tsd.index.freq, \\\"utf-8\\\").lower() except TypeError: pltfreq = str(tsd.index.freq).lower() if pltfreq.split(\\\" \\\")[0][1:] ==\",\n \"# \\\"muted\\\", # \\\"retro\\\", # ], # ], # None, # ], #\",\n \"# ], # ) def kde( input_ts=\\\"-\\\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\\\"datetime\\\",\",\n \"of x-axis. ytitle : str [optional, default depends on ``type``] Title of y-axis.\",\n \"+-----------------+-------------------+ | o | small circle | +-----------------+-------------------+ | O | large circle\",\n \"a column of the \\\"IEEE\\\" journal. The \\\"grayscale\\\" is another style useful for\",\n \"* * The --logx, --logy, --norm_xaxis, --norm_yaxis, --lognorm_xaxis, and * --lognorm_yaxis options are\",\n \"+-------+----------------+ | > | triangle right | +-------+----------------+ | 1 | tri_down |\",\n \"to ''] Title of chart. figsize : str [optional, defaults to '10,6.5'] The\",\n \"\\\", bar_hatchstyles=\\\"auto\\\", style=\\\"auto\\\", logx=False, logy=False, xaxis=\\\"arithmetic\\\", yaxis=\\\"arithmetic\\\", xlim=None, ylim=None, secondary_y=False, mark_right=True, scatter_matrix_diagonal=\\\"kde\\\", bootstrap_size=50,\",\n \"the table below. +------+---------+ | Code | Color | +======+=========+ | b |\",\n \"HTML color names. +------------------+ | HTML Color Names | +==================+ | red |\",\n \"| . | dots | +-----------------+-------------------+ | * | stars | +-----------------+-------------------+ logx\",\n \"| tri_down | +-------+----------------+ | 2 | tri_up | +-------+----------------+ | 3 |\",\n \"value for the entire plot. hlines_colors: [optional, defaults to None] List of colors\",\n \"i + \\\".mplstyle\\\")) else i for i in plot_styles ] plt.style.use(plot_styles) figsize =\",\n \"`vlines_x`. If None will take from the color pallette in the current plot\",\n \"| cyan | +------+---------+ | m | magenta | +------+---------+ | y |\",\n \"Otherwise on the command line a comma separated list, or a list of\",\n \"Code | Markers | +=======+================+ | . | point | +-------+----------------+ | o\",\n \"mando legend = bool(legend == \\\"\\\" or legend == \\\"True\\\" or legend is\",\n \"| dash_dot | +---------+--------------+ | : | dotted | +---------+--------------+ | None |\",\n \"defaults to 50] The size of the random subset for 'bootstrap' plot. bootstrap_samples\",\n \"\\\", None] else i for i in linestyles] markerstyles = [\\\" \\\" if\",\n \"using the Python API. +-----------------+-------------------+ | bar_hatchstyles | Description | +=================+===================+ | /\",\n \"| ``|`` | vertical | +-----------------+-------------------+ | - | horizontal | +-----------------+-------------------+ |\",\n \"| crossed diagonal | +-----------------+-------------------+ | o | small circle | +-----------------+-------------------+ |\",\n \"the maximum x value for the entire plot. hlines_colors: [optional, defaults to None]\",\n \"input_ts=\\\"-\\\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\\\"datetime\\\", names=None, ofilename=\\\"plot.png\\\", xtitle=\\\"\\\", ytitle=\\\"\\\", title=\\\"\\\", figsize=\\\"10,6.0\\\",\",\n \"\\\"\\\" if colors == \\\"auto\\\": colors = None else: colors = tsutils.make_list(colors) if\",\n \"\\\"gumbel\\\", \\\"hazen\\\", \\\"cunnane\\\", \\\"california\\\"], # ], # 1, # ], # prob_plot_sort_values=[str, [\\\"domain\\\",\",\n \"colors = [] markerstyles = [] linestyles = [] for st in nstyle:\",\n \"The number of random subsets of 'bootstrap_size'. norm_xaxis DEPRECATED: use '--type=\\\"norm_xaxis\\\"' instead. norm_yaxis\",\n \"is 'arithmetic'] Defines the type of the yaxis. One of 'arithmetic', 'log'. secondary_y\",\n \"same number of style strings as time-series to plot. You supplied '{}' for\",\n \"will iterate through the available matplotlib line types. Otherwise on the command line\",\n \"ylim=ylim, secondary_y=secondary_y, mark_right=mark_right, scatter_matrix_diagonal=scatter_matrix_diagonal, bootstrap_size=bootstrap_size, bootstrap_samples=bootstrap_samples, norm_xaxis=norm_xaxis, norm_yaxis=norm_yaxis, lognorm_xaxis=lognorm_xaxis, lognorm_yaxis=lognorm_yaxis, xy_match_line=xy_match_line, grid=grid, label_rotation=label_rotation,\",\n \"c | cyan | +------+---------+ | m | magenta | +------+---------+ | y\",\n \"None], # vlines_ymax=[float, [\\\"pass\\\", []], None], # vlines_colors=[str, [\\\"pass\\\", []], None], # vlines_linestyles=[\",\n \"to plot grid lines on the major ticks. label_rotation : int [optional] Rotation\",\n \"# This is to help pretty print the frequency try: try: pltfreq =\",\n \"secondary_y=[bool, [\\\"domain\\\", [True, False]], 1], # mark_right=[bool, [\\\"domain\\\", [True, False]], 1], # scatter_matrix_diagonal=[str,\",\n \"kde( input_ts=\\\"-\\\", columns=None, start_date=None, end_date=None, clean=False, skiprows=None, index_type=\\\"datetime\\\", names=None, ofilename=\\\"plot.png\\\", xtitle=\\\"\\\", ytitle=\\\"\\\", title=\\\"\\\",\",\n \"lag_plot_lag=1, plot_styles=\\\"bright\\\", hlines_y=None, hlines_xmin=None, hlines_xmax=None, hlines_colors=None, hlines_linestyles=\\\"-\\\", vlines_x=None, vlines_ymin=None, vlines_ymax=None, vlines_colors=None, vlines_linestyles=\\\"-\\\", ):\",\n \"is not None: m = next(imarkerstyles) else: m = None if ilinestyles is\",\n \"the Python API. +-----------------+-------------------+ | bar_hatchstyles | Description | +=================+===================+ | / |\",\n \"None], # markerstyles=[str, [\\\"domain\\\", [\\\"auto\\\", None, \\\"\\\", \\\" \\\", \\\" \\\"] + plotutils.MARKER_LIST],\",\n \"from the table below. +------+---------+ | Code | Color | +======+=========+ | b\",\n \"None: c = next(icolors) else: c = None if imarkerstyles is not None:\",\n \"the type of the yaxis. One of 'arithmetic', 'log'. secondary_y [optional, default is\"\n]","isConversational":false}}},{"rowIdx":1292,"cells":{"ngram":{"kind":"list like","value":["range(self.mp_steps): hiddens = self.step(edge_index=edge_index, sections=sections, **hiddens) if not output_all_steps and (step + 1)","a message passing step by propagating information and updating each element \"\"\" for","!= self.mp_steps: continue for element, readout_fn in self.readout_fns.items(): outputs[element].append(readout_fn(**hiddens)) return outputs def initialize(self,","return outputs def initialize(self, batch): hiddens = {} # initialize attributes trough embeddings",") hiddens = self.initialize(batch) del batch # update attributes with update and aggregation","in self.update_fns.items(): hiddens[f\"{element}_embedding\"], hiddens[f\"{element}_lstm\"] = update_fn( edge_index=edge_index, sections=sections, element=element, **hiddens ) return hiddens","GNN(nn.Module): def __init__(self, mp_steps, **config): super().__init__() self.mp_steps = mp_steps self.update_fns = self.assign_update_fns() self.readout_fns","output_all_steps and (step + 1) != self.mp_steps: continue for element, readout_fn in self.readout_fns.items():","# initialize attributes trough embeddings and intialize lstm states to None for element","f\"{element}_lstm\": None, } ) return hiddens def step(self, edge_index, sections, **hiddens): \"\"\" Perform","OrderedDict import torch import torch.nn as nn from torch_geometric.data.batch import Batch class GNN(nn.Module):","\"batch\") else None ) hiddens = self.initialize(batch) del batch # update attributes with","information and updating each element \"\"\" for element, update_fn in self.update_fns.items(): hiddens[f\"{element}_embedding\"], hiddens[f\"{element}_lstm\"]","1) != self.mp_steps: continue for element, readout_fn in self.readout_fns.items(): outputs[element].append(readout_fn(**hiddens)) return outputs def","step in range(self.mp_steps): hiddens = self.step(edge_index=edge_index, sections=sections, **hiddens) if not output_all_steps and (step","trough embeddings and intialize lstm states to None for element in self.embeddings.keys(): embedding","hiddens = self.step(edge_index=edge_index, sections=sections, **hiddens) if not output_all_steps and (step + 1) !=","element in self.embeddings.keys(): embedding = self.embeddings[element](batch[f\"{element}_input\"]) hiddens.update( { f\"{element}_input\": embedding, f\"{element}_embedding\": embedding.clone(), f\"{element}_lstm\":","del batch # update attributes with update and aggregation step outputs = {element:","and aggregation step outputs = {element: [] for element in self.readout_fns.keys()} for step","self.mp_steps = mp_steps self.update_fns = self.assign_update_fns() self.readout_fns = self.assign_readout_fns() def assign_update_fns(self) -> OrderedDict:","class GNN(nn.Module): def __init__(self, mp_steps, **config): super().__init__() self.mp_steps = mp_steps self.update_fns = self.assign_update_fns()","NotImplementedError def forward(self, batch: Batch, output_all_steps=True): edge_index = batch.edge_index sections = ( torch.bincount(batch.batch).tolist()","def forward(self, batch: Batch, output_all_steps=True): edge_index = batch.edge_index sections = ( torch.bincount(batch.batch).tolist() if","attributes with update and aggregation step outputs = {element: [] for element in","def assign_readout_fns(self) -> dict: raise NotImplementedError def forward(self, batch: Batch, output_all_steps=True): edge_index =","= self.assign_readout_fns() def assign_update_fns(self) -> OrderedDict: raise NotImplementedError def assign_readout_fns(self) -> dict: raise","in range(self.mp_steps): hiddens = self.step(edge_index=edge_index, sections=sections, **hiddens) if not output_all_steps and (step +","self.readout_fns.keys()} for step in range(self.mp_steps): hiddens = self.step(edge_index=edge_index, sections=sections, **hiddens) if not output_all_steps","} ) return hiddens def step(self, edge_index, sections, **hiddens): \"\"\" Perform a message","assign_readout_fns(self) -> dict: raise NotImplementedError def forward(self, batch: Batch, output_all_steps=True): edge_index = batch.edge_index","self.readout_fns.items(): outputs[element].append(readout_fn(**hiddens)) return outputs def initialize(self, batch): hiddens = {} # initialize attributes","each element \"\"\" for element, update_fn in self.update_fns.items(): hiddens[f\"{element}_embedding\"], hiddens[f\"{element}_lstm\"] = update_fn( edge_index=edge_index,","(step + 1) != self.mp_steps: continue for element, readout_fn in self.readout_fns.items(): outputs[element].append(readout_fn(**hiddens)) return","to None for element in self.embeddings.keys(): embedding = self.embeddings[element](batch[f\"{element}_input\"]) hiddens.update( { f\"{element}_input\": embedding,","updating each element \"\"\" for element, update_fn in self.update_fns.items(): hiddens[f\"{element}_embedding\"], hiddens[f\"{element}_lstm\"] = update_fn(","in self.readout_fns.items(): outputs[element].append(readout_fn(**hiddens)) return outputs def initialize(self, batch): hiddens = {} # initialize","{element: [] for element in self.readout_fns.keys()} for step in range(self.mp_steps): hiddens = self.step(edge_index=edge_index,","hiddens = self.initialize(batch) del batch # update attributes with update and aggregation step","import torch import torch.nn as nn from torch_geometric.data.batch import Batch class GNN(nn.Module): def","element, update_fn in self.update_fns.items(): hiddens[f\"{element}_embedding\"], hiddens[f\"{element}_lstm\"] = update_fn( edge_index=edge_index, sections=sections, element=element, **hiddens )",") return hiddens def step(self, edge_index, sections, **hiddens): \"\"\" Perform a message passing","Batch, output_all_steps=True): edge_index = batch.edge_index sections = ( torch.bincount(batch.batch).tolist() if hasattr(batch, \"batch\") else","f\"{element}_input\": embedding, f\"{element}_embedding\": embedding.clone(), f\"{element}_lstm\": None, } ) return hiddens def step(self, edge_index,","\"\"\" for element, update_fn in self.update_fns.items(): hiddens[f\"{element}_embedding\"], hiddens[f\"{element}_lstm\"] = update_fn( edge_index=edge_index, sections=sections, element=element,","batch: Batch, output_all_steps=True): edge_index = batch.edge_index sections = ( torch.bincount(batch.batch).tolist() if hasattr(batch, \"batch\")","with update and aggregation step outputs = {element: [] for element in self.readout_fns.keys()}","element \"\"\" for element, update_fn in self.update_fns.items(): hiddens[f\"{element}_embedding\"], hiddens[f\"{element}_lstm\"] = update_fn( edge_index=edge_index, sections=sections,","raise NotImplementedError def forward(self, batch: Batch, output_all_steps=True): edge_index = batch.edge_index sections = (","for element, update_fn in self.update_fns.items(): hiddens[f\"{element}_embedding\"], hiddens[f\"{element}_lstm\"] = update_fn( edge_index=edge_index, sections=sections, element=element, **hiddens","torch.bincount(batch.batch).tolist() if hasattr(batch, \"batch\") else None ) hiddens = self.initialize(batch) del batch #","message passing step by propagating information and updating each element \"\"\" for element,","step by propagating information and updating each element \"\"\" for element, update_fn in","= self.step(edge_index=edge_index, sections=sections, **hiddens) if not output_all_steps and (step + 1) != self.mp_steps:","intialize lstm states to None for element in self.embeddings.keys(): embedding = self.embeddings[element](batch[f\"{element}_input\"]) hiddens.update(","in self.embeddings.keys(): embedding = self.embeddings[element](batch[f\"{element}_input\"]) hiddens.update( { f\"{element}_input\": embedding, f\"{element}_embedding\": embedding.clone(), f\"{element}_lstm\": None,","embedding = self.embeddings[element](batch[f\"{element}_input\"]) hiddens.update( { f\"{element}_input\": embedding, f\"{element}_embedding\": embedding.clone(), f\"{element}_lstm\": None, } )","None ) hiddens = self.initialize(batch) del batch # update attributes with update and","for step in range(self.mp_steps): hiddens = self.step(edge_index=edge_index, sections=sections, **hiddens) if not output_all_steps and","import Batch class GNN(nn.Module): def __init__(self, mp_steps, **config): super().__init__() self.mp_steps = mp_steps self.update_fns","mp_steps self.update_fns = self.assign_update_fns() self.readout_fns = self.assign_readout_fns() def assign_update_fns(self) -> OrderedDict: raise NotImplementedError","sections = ( torch.bincount(batch.batch).tolist() if hasattr(batch, \"batch\") else None ) hiddens = self.initialize(batch)","hiddens.update( { f\"{element}_input\": embedding, f\"{element}_embedding\": embedding.clone(), f\"{element}_lstm\": None, } ) return hiddens def","[] for element in self.readout_fns.keys()} for step in range(self.mp_steps): hiddens = self.step(edge_index=edge_index, sections=sections,","if hasattr(batch, \"batch\") else None ) hiddens = self.initialize(batch) del batch # update","self.initialize(batch) del batch # update attributes with update and aggregation step outputs =","embedding.clone(), f\"{element}_lstm\": None, } ) return hiddens def step(self, edge_index, sections, **hiddens): \"\"\"","passing step by propagating information and updating each element \"\"\" for element, update_fn","edge_index = batch.edge_index sections = ( torch.bincount(batch.batch).tolist() if hasattr(batch, \"batch\") else None )","def __init__(self, mp_steps, **config): super().__init__() self.mp_steps = mp_steps self.update_fns = self.assign_update_fns() self.readout_fns =","collections import OrderedDict import torch import torch.nn as nn from torch_geometric.data.batch import Batch","import torch.nn as nn from torch_geometric.data.batch import Batch class GNN(nn.Module): def __init__(self, mp_steps,","forward(self, batch: Batch, output_all_steps=True): edge_index = batch.edge_index sections = ( torch.bincount(batch.batch).tolist() if hasattr(batch,","import OrderedDict import torch import torch.nn as nn from torch_geometric.data.batch import Batch class","self.embeddings[element](batch[f\"{element}_input\"]) hiddens.update( { f\"{element}_input\": embedding, f\"{element}_embedding\": embedding.clone(), f\"{element}_lstm\": None, } ) return hiddens","def step(self, edge_index, sections, **hiddens): \"\"\" Perform a message passing step by propagating","output_all_steps=True): edge_index = batch.edge_index sections = ( torch.bincount(batch.batch).tolist() if hasattr(batch, \"batch\") else None","outputs[element].append(readout_fn(**hiddens)) return outputs def initialize(self, batch): hiddens = {} # initialize attributes trough","Batch class GNN(nn.Module): def __init__(self, mp_steps, **config): super().__init__() self.mp_steps = mp_steps self.update_fns =","= ( torch.bincount(batch.batch).tolist() if hasattr(batch, \"batch\") else None ) hiddens = self.initialize(batch) del","mp_steps, **config): super().__init__() self.mp_steps = mp_steps self.update_fns = self.assign_update_fns() self.readout_fns = self.assign_readout_fns() def","OrderedDict: raise NotImplementedError def assign_readout_fns(self) -> dict: raise NotImplementedError def forward(self, batch: Batch,","sections, **hiddens): \"\"\" Perform a message passing step by propagating information and updating","by propagating information and updating each element \"\"\" for element, update_fn in self.update_fns.items():","embedding, f\"{element}_embedding\": embedding.clone(), f\"{element}_lstm\": None, } ) return hiddens def step(self, edge_index, sections,","return hiddens def step(self, edge_index, sections, **hiddens): \"\"\" Perform a message passing step","not output_all_steps and (step + 1) != self.mp_steps: continue for element, readout_fn in","f\"{element}_embedding\": embedding.clone(), f\"{element}_lstm\": None, } ) return hiddens def step(self, edge_index, sections, **hiddens):","embeddings and intialize lstm states to None for element in self.embeddings.keys(): embedding =","__init__(self, mp_steps, **config): super().__init__() self.mp_steps = mp_steps self.update_fns = self.assign_update_fns() self.readout_fns = self.assign_readout_fns()","update and aggregation step outputs = {element: [] for element in self.readout_fns.keys()} for","batch): hiddens = {} # initialize attributes trough embeddings and intialize lstm states","outputs def initialize(self, batch): hiddens = {} # initialize attributes trough embeddings and","propagating information and updating each element \"\"\" for element, update_fn in self.update_fns.items(): hiddens[f\"{element}_embedding\"],","-> OrderedDict: raise NotImplementedError def assign_readout_fns(self) -> dict: raise NotImplementedError def forward(self, batch:","torch.nn as nn from torch_geometric.data.batch import Batch class GNN(nn.Module): def __init__(self, mp_steps, **config):","= mp_steps self.update_fns = self.assign_update_fns() self.readout_fns = self.assign_readout_fns() def assign_update_fns(self) -> OrderedDict: raise","initialize attributes trough embeddings and intialize lstm states to None for element in","update_fn in self.update_fns.items(): hiddens[f\"{element}_embedding\"], hiddens[f\"{element}_lstm\"] = update_fn( edge_index=edge_index, sections=sections, element=element, **hiddens ) return","initialize(self, batch): hiddens = {} # initialize attributes trough embeddings and intialize lstm","hiddens = {} # initialize attributes trough embeddings and intialize lstm states to","readout_fn in self.readout_fns.items(): outputs[element].append(readout_fn(**hiddens)) return outputs def initialize(self, batch): hiddens = {} #","and intialize lstm states to None for element in self.embeddings.keys(): embedding = self.embeddings[element](batch[f\"{element}_input\"])","self.readout_fns = self.assign_readout_fns() def assign_update_fns(self) -> OrderedDict: raise NotImplementedError def assign_readout_fns(self) -> dict:","element, readout_fn in self.readout_fns.items(): outputs[element].append(readout_fn(**hiddens)) return outputs def initialize(self, batch): hiddens = {}","for element in self.embeddings.keys(): embedding = self.embeddings[element](batch[f\"{element}_input\"]) hiddens.update( { f\"{element}_input\": embedding, f\"{element}_embedding\": embedding.clone(),","= self.assign_update_fns() self.readout_fns = self.assign_readout_fns() def assign_update_fns(self) -> OrderedDict: raise NotImplementedError def assign_readout_fns(self)","continue for element, readout_fn in self.readout_fns.items(): outputs[element].append(readout_fn(**hiddens)) return outputs def initialize(self, batch): hiddens","+ 1) != self.mp_steps: continue for element, readout_fn in self.readout_fns.items(): outputs[element].append(readout_fn(**hiddens)) return outputs","self.assign_readout_fns() def assign_update_fns(self) -> OrderedDict: raise NotImplementedError def assign_readout_fns(self) -> dict: raise NotImplementedError","in self.readout_fns.keys()} for step in range(self.mp_steps): hiddens = self.step(edge_index=edge_index, sections=sections, **hiddens) if not","self.assign_update_fns() self.readout_fns = self.assign_readout_fns() def assign_update_fns(self) -> OrderedDict: raise NotImplementedError def assign_readout_fns(self) ->","sections=sections, **hiddens) if not output_all_steps and (step + 1) != self.mp_steps: continue for","# update attributes with update and aggregation step outputs = {element: [] for","for element in self.readout_fns.keys()} for step in range(self.mp_steps): hiddens = self.step(edge_index=edge_index, sections=sections, **hiddens)","lstm states to None for element in self.embeddings.keys(): embedding = self.embeddings[element](batch[f\"{element}_input\"]) hiddens.update( {","and (step + 1) != self.mp_steps: continue for element, readout_fn in self.readout_fns.items(): outputs[element].append(readout_fn(**hiddens))","self.update_fns = self.assign_update_fns() self.readout_fns = self.assign_readout_fns() def assign_update_fns(self) -> OrderedDict: raise NotImplementedError def","torch_geometric.data.batch import Batch class GNN(nn.Module): def __init__(self, mp_steps, **config): super().__init__() self.mp_steps = mp_steps","**hiddens): \"\"\" Perform a message passing step by propagating information and updating each","step(self, edge_index, sections, **hiddens): \"\"\" Perform a message passing step by propagating information","outputs = {element: [] for element in self.readout_fns.keys()} for step in range(self.mp_steps): hiddens","as nn from torch_geometric.data.batch import Batch class GNN(nn.Module): def __init__(self, mp_steps, **config): super().__init__()","self.step(edge_index=edge_index, sections=sections, **hiddens) if not output_all_steps and (step + 1) != self.mp_steps: continue","raise NotImplementedError def assign_readout_fns(self) -> dict: raise NotImplementedError def forward(self, batch: Batch, output_all_steps=True):","NotImplementedError def assign_readout_fns(self) -> dict: raise NotImplementedError def forward(self, batch: Batch, output_all_steps=True): edge_index","from collections import OrderedDict import torch import torch.nn as nn from torch_geometric.data.batch import","{} # initialize attributes trough embeddings and intialize lstm states to None for","dict: raise NotImplementedError def forward(self, batch: Batch, output_all_steps=True): edge_index = batch.edge_index sections =","batch.edge_index sections = ( torch.bincount(batch.batch).tolist() if hasattr(batch, \"batch\") else None ) hiddens =","attributes trough embeddings and intialize lstm states to None for element in self.embeddings.keys():","None, } ) return hiddens def step(self, edge_index, sections, **hiddens): \"\"\" Perform a","**hiddens) if not output_all_steps and (step + 1) != self.mp_steps: continue for element,","super().__init__() self.mp_steps = mp_steps self.update_fns = self.assign_update_fns() self.readout_fns = self.assign_readout_fns() def assign_update_fns(self) ->","None for element in self.embeddings.keys(): embedding = self.embeddings[element](batch[f\"{element}_input\"]) hiddens.update( { f\"{element}_input\": embedding, f\"{element}_embedding\":","states to None for element in self.embeddings.keys(): embedding = self.embeddings[element](batch[f\"{element}_input\"]) hiddens.update( { f\"{element}_input\":","edge_index, sections, **hiddens): \"\"\" Perform a message passing step by propagating information and","assign_update_fns(self) -> OrderedDict: raise NotImplementedError def assign_readout_fns(self) -> dict: raise NotImplementedError def forward(self,","if not output_all_steps and (step + 1) != self.mp_steps: continue for element, readout_fn","hasattr(batch, \"batch\") else None ) hiddens = self.initialize(batch) del batch # update attributes","element in self.readout_fns.keys()} for step in range(self.mp_steps): hiddens = self.step(edge_index=edge_index, sections=sections, **hiddens) if","Perform a message passing step by propagating information and updating each element \"\"\"","for element, readout_fn in self.readout_fns.items(): outputs[element].append(readout_fn(**hiddens)) return outputs def initialize(self, batch): hiddens =","= self.initialize(batch) del batch # update attributes with update and aggregation step outputs","= {element: [] for element in self.readout_fns.keys()} for step in range(self.mp_steps): hiddens =","hiddens def step(self, edge_index, sections, **hiddens): \"\"\" Perform a message passing step by","batch # update attributes with update and aggregation step outputs = {element: []","= self.embeddings[element](batch[f\"{element}_input\"]) hiddens.update( { f\"{element}_input\": embedding, f\"{element}_embedding\": embedding.clone(), f\"{element}_lstm\": None, } ) return","self.mp_steps: continue for element, readout_fn in self.readout_fns.items(): outputs[element].append(readout_fn(**hiddens)) return outputs def initialize(self, batch):","def assign_update_fns(self) -> OrderedDict: raise NotImplementedError def assign_readout_fns(self) -> dict: raise NotImplementedError def","= batch.edge_index sections = ( torch.bincount(batch.batch).tolist() if hasattr(batch, \"batch\") else None ) hiddens","from torch_geometric.data.batch import Batch class GNN(nn.Module): def __init__(self, mp_steps, **config): super().__init__() self.mp_steps =","-> dict: raise NotImplementedError def forward(self, batch: Batch, output_all_steps=True): edge_index = batch.edge_index sections","( torch.bincount(batch.batch).tolist() if hasattr(batch, \"batch\") else None ) hiddens = self.initialize(batch) del batch","update attributes with update and aggregation step outputs = {element: [] for element","aggregation step outputs = {element: [] for element in self.readout_fns.keys()} for step in","= {} # initialize attributes trough embeddings and intialize lstm states to None","\"\"\" Perform a message passing step by propagating information and updating each element","self.embeddings.keys(): embedding = self.embeddings[element](batch[f\"{element}_input\"]) hiddens.update( { f\"{element}_input\": embedding, f\"{element}_embedding\": embedding.clone(), f\"{element}_lstm\": None, }","torch import torch.nn as nn from torch_geometric.data.batch import Batch class GNN(nn.Module): def __init__(self,","def initialize(self, batch): hiddens = {} # initialize attributes trough embeddings and intialize","step outputs = {element: [] for element in self.readout_fns.keys()} for step in range(self.mp_steps):","**config): super().__init__() self.mp_steps = mp_steps self.update_fns = self.assign_update_fns() self.readout_fns = self.assign_readout_fns() def assign_update_fns(self)","and updating each element \"\"\" for element, update_fn in self.update_fns.items(): hiddens[f\"{element}_embedding\"], hiddens[f\"{element}_lstm\"] =","else None ) hiddens = self.initialize(batch) del batch # update attributes with update","{ f\"{element}_input\": embedding, f\"{element}_embedding\": embedding.clone(), f\"{element}_lstm\": None, } ) return hiddens def step(self,","nn from torch_geometric.data.batch import Batch class GNN(nn.Module): def __init__(self, mp_steps, **config): super().__init__() self.mp_steps"],"string":"[\n \"range(self.mp_steps): hiddens = self.step(edge_index=edge_index, sections=sections, **hiddens) if not output_all_steps and (step + 1)\",\n \"a message passing step by propagating information and updating each element \\\"\\\"\\\" for\",\n \"!= self.mp_steps: continue for element, readout_fn in self.readout_fns.items(): outputs[element].append(readout_fn(**hiddens)) return outputs def initialize(self,\",\n \"return outputs def initialize(self, batch): hiddens = {} # initialize attributes trough embeddings\",\n \") hiddens = self.initialize(batch) del batch # update attributes with update and aggregation\",\n \"in self.update_fns.items(): hiddens[f\\\"{element}_embedding\\\"], hiddens[f\\\"{element}_lstm\\\"] = update_fn( edge_index=edge_index, sections=sections, element=element, **hiddens ) return hiddens\",\n \"GNN(nn.Module): def __init__(self, mp_steps, **config): super().__init__() self.mp_steps = mp_steps self.update_fns = self.assign_update_fns() self.readout_fns\",\n \"output_all_steps and (step + 1) != self.mp_steps: continue for element, readout_fn in self.readout_fns.items():\",\n \"# initialize attributes trough embeddings and intialize lstm states to None for element\",\n \"f\\\"{element}_lstm\\\": None, } ) return hiddens def step(self, edge_index, sections, **hiddens): \\\"\\\"\\\" Perform\",\n \"OrderedDict import torch import torch.nn as nn from torch_geometric.data.batch import Batch class GNN(nn.Module):\",\n \"\\\"batch\\\") else None ) hiddens = self.initialize(batch) del batch # update attributes with\",\n \"information and updating each element \\\"\\\"\\\" for element, update_fn in self.update_fns.items(): hiddens[f\\\"{element}_embedding\\\"], hiddens[f\\\"{element}_lstm\\\"]\",\n \"1) != self.mp_steps: continue for element, readout_fn in self.readout_fns.items(): outputs[element].append(readout_fn(**hiddens)) return outputs def\",\n \"step in range(self.mp_steps): hiddens = self.step(edge_index=edge_index, sections=sections, **hiddens) if not output_all_steps and (step\",\n \"trough embeddings and intialize lstm states to None for element in self.embeddings.keys(): embedding\",\n \"hiddens = self.step(edge_index=edge_index, sections=sections, **hiddens) if not output_all_steps and (step + 1) !=\",\n \"element in self.embeddings.keys(): embedding = self.embeddings[element](batch[f\\\"{element}_input\\\"]) hiddens.update( { f\\\"{element}_input\\\": embedding, f\\\"{element}_embedding\\\": embedding.clone(), f\\\"{element}_lstm\\\":\",\n \"del batch # update attributes with update and aggregation step outputs = {element:\",\n \"and aggregation step outputs = {element: [] for element in self.readout_fns.keys()} for step\",\n \"self.mp_steps = mp_steps self.update_fns = self.assign_update_fns() self.readout_fns = self.assign_readout_fns() def assign_update_fns(self) -> OrderedDict:\",\n \"class GNN(nn.Module): def __init__(self, mp_steps, **config): super().__init__() self.mp_steps = mp_steps self.update_fns = self.assign_update_fns()\",\n \"NotImplementedError def forward(self, batch: Batch, output_all_steps=True): edge_index = batch.edge_index sections = ( torch.bincount(batch.batch).tolist()\",\n \"def forward(self, batch: Batch, output_all_steps=True): edge_index = batch.edge_index sections = ( torch.bincount(batch.batch).tolist() if\",\n \"attributes with update and aggregation step outputs = {element: [] for element in\",\n \"def assign_readout_fns(self) -> dict: raise NotImplementedError def forward(self, batch: Batch, output_all_steps=True): edge_index =\",\n \"= self.assign_readout_fns() def assign_update_fns(self) -> OrderedDict: raise NotImplementedError def assign_readout_fns(self) -> dict: raise\",\n \"in range(self.mp_steps): hiddens = self.step(edge_index=edge_index, sections=sections, **hiddens) if not output_all_steps and (step +\",\n \"self.readout_fns.keys()} for step in range(self.mp_steps): hiddens = self.step(edge_index=edge_index, sections=sections, **hiddens) if not output_all_steps\",\n \"} ) return hiddens def step(self, edge_index, sections, **hiddens): \\\"\\\"\\\" Perform a message\",\n \"assign_readout_fns(self) -> dict: raise NotImplementedError def forward(self, batch: Batch, output_all_steps=True): edge_index = batch.edge_index\",\n \"self.readout_fns.items(): outputs[element].append(readout_fn(**hiddens)) return outputs def initialize(self, batch): hiddens = {} # initialize attributes\",\n \"each element \\\"\\\"\\\" for element, update_fn in self.update_fns.items(): hiddens[f\\\"{element}_embedding\\\"], hiddens[f\\\"{element}_lstm\\\"] = update_fn( edge_index=edge_index,\",\n \"(step + 1) != self.mp_steps: continue for element, readout_fn in self.readout_fns.items(): outputs[element].append(readout_fn(**hiddens)) return\",\n \"to None for element in self.embeddings.keys(): embedding = self.embeddings[element](batch[f\\\"{element}_input\\\"]) hiddens.update( { f\\\"{element}_input\\\": embedding,\",\n \"updating each element \\\"\\\"\\\" for element, update_fn in self.update_fns.items(): hiddens[f\\\"{element}_embedding\\\"], hiddens[f\\\"{element}_lstm\\\"] = update_fn(\",\n \"in self.readout_fns.items(): outputs[element].append(readout_fn(**hiddens)) return outputs def initialize(self, batch): hiddens = {} # initialize\",\n \"{element: [] for element in self.readout_fns.keys()} for step in range(self.mp_steps): hiddens = self.step(edge_index=edge_index,\",\n \"hiddens = self.initialize(batch) del batch # update attributes with update and aggregation step\",\n \"import torch import torch.nn as nn from torch_geometric.data.batch import Batch class GNN(nn.Module): def\",\n \"element, update_fn in self.update_fns.items(): hiddens[f\\\"{element}_embedding\\\"], hiddens[f\\\"{element}_lstm\\\"] = update_fn( edge_index=edge_index, sections=sections, element=element, **hiddens )\",\n \") return hiddens def step(self, edge_index, sections, **hiddens): \\\"\\\"\\\" Perform a message passing\",\n \"Batch, output_all_steps=True): edge_index = batch.edge_index sections = ( torch.bincount(batch.batch).tolist() if hasattr(batch, \\\"batch\\\") else\",\n \"f\\\"{element}_input\\\": embedding, f\\\"{element}_embedding\\\": embedding.clone(), f\\\"{element}_lstm\\\": None, } ) return hiddens def step(self, edge_index,\",\n \"\\\"\\\"\\\" for element, update_fn in self.update_fns.items(): hiddens[f\\\"{element}_embedding\\\"], hiddens[f\\\"{element}_lstm\\\"] = update_fn( edge_index=edge_index, sections=sections, element=element,\",\n \"batch: Batch, output_all_steps=True): edge_index = batch.edge_index sections = ( torch.bincount(batch.batch).tolist() if hasattr(batch, \\\"batch\\\")\",\n \"with update and aggregation step outputs = {element: [] for element in self.readout_fns.keys()}\",\n \"element \\\"\\\"\\\" for element, update_fn in self.update_fns.items(): hiddens[f\\\"{element}_embedding\\\"], hiddens[f\\\"{element}_lstm\\\"] = update_fn( edge_index=edge_index, sections=sections,\",\n \"raise NotImplementedError def forward(self, batch: Batch, output_all_steps=True): edge_index = batch.edge_index sections = (\",\n \"for element, update_fn in self.update_fns.items(): hiddens[f\\\"{element}_embedding\\\"], hiddens[f\\\"{element}_lstm\\\"] = update_fn( edge_index=edge_index, sections=sections, element=element, **hiddens\",\n \"torch.bincount(batch.batch).tolist() if hasattr(batch, \\\"batch\\\") else None ) hiddens = self.initialize(batch) del batch #\",\n \"message passing step by propagating information and updating each element \\\"\\\"\\\" for element,\",\n \"step by propagating information and updating each element \\\"\\\"\\\" for element, update_fn in\",\n \"= self.step(edge_index=edge_index, sections=sections, **hiddens) if not output_all_steps and (step + 1) != self.mp_steps:\",\n \"intialize lstm states to None for element in self.embeddings.keys(): embedding = self.embeddings[element](batch[f\\\"{element}_input\\\"]) hiddens.update(\",\n \"in self.embeddings.keys(): embedding = self.embeddings[element](batch[f\\\"{element}_input\\\"]) hiddens.update( { f\\\"{element}_input\\\": embedding, f\\\"{element}_embedding\\\": embedding.clone(), f\\\"{element}_lstm\\\": None,\",\n \"embedding = self.embeddings[element](batch[f\\\"{element}_input\\\"]) hiddens.update( { f\\\"{element}_input\\\": embedding, f\\\"{element}_embedding\\\": embedding.clone(), f\\\"{element}_lstm\\\": None, } )\",\n \"None ) hiddens = self.initialize(batch) del batch # update attributes with update and\",\n \"for step in range(self.mp_steps): hiddens = self.step(edge_index=edge_index, sections=sections, **hiddens) if not output_all_steps and\",\n \"import Batch class GNN(nn.Module): def __init__(self, mp_steps, **config): super().__init__() self.mp_steps = mp_steps self.update_fns\",\n \"mp_steps self.update_fns = self.assign_update_fns() self.readout_fns = self.assign_readout_fns() def assign_update_fns(self) -> OrderedDict: raise NotImplementedError\",\n \"sections = ( torch.bincount(batch.batch).tolist() if hasattr(batch, \\\"batch\\\") else None ) hiddens = self.initialize(batch)\",\n \"hiddens.update( { f\\\"{element}_input\\\": embedding, f\\\"{element}_embedding\\\": embedding.clone(), f\\\"{element}_lstm\\\": None, } ) return hiddens def\",\n \"[] for element in self.readout_fns.keys()} for step in range(self.mp_steps): hiddens = self.step(edge_index=edge_index, sections=sections,\",\n \"if hasattr(batch, \\\"batch\\\") else None ) hiddens = self.initialize(batch) del batch # update\",\n \"self.initialize(batch) del batch # update attributes with update and aggregation step outputs =\",\n \"embedding.clone(), f\\\"{element}_lstm\\\": None, } ) return hiddens def step(self, edge_index, sections, **hiddens): \\\"\\\"\\\"\",\n \"passing step by propagating information and updating each element \\\"\\\"\\\" for element, update_fn\",\n \"edge_index = batch.edge_index sections = ( torch.bincount(batch.batch).tolist() if hasattr(batch, \\\"batch\\\") else None )\",\n \"def __init__(self, mp_steps, **config): super().__init__() self.mp_steps = mp_steps self.update_fns = self.assign_update_fns() self.readout_fns =\",\n \"collections import OrderedDict import torch import torch.nn as nn from torch_geometric.data.batch import Batch\",\n \"import torch.nn as nn from torch_geometric.data.batch import Batch class GNN(nn.Module): def __init__(self, mp_steps,\",\n \"forward(self, batch: Batch, output_all_steps=True): edge_index = batch.edge_index sections = ( torch.bincount(batch.batch).tolist() if hasattr(batch,\",\n \"import OrderedDict import torch import torch.nn as nn from torch_geometric.data.batch import Batch class\",\n \"self.embeddings[element](batch[f\\\"{element}_input\\\"]) hiddens.update( { f\\\"{element}_input\\\": embedding, f\\\"{element}_embedding\\\": embedding.clone(), f\\\"{element}_lstm\\\": None, } ) return hiddens\",\n \"def step(self, edge_index, sections, **hiddens): \\\"\\\"\\\" Perform a message passing step by propagating\",\n \"output_all_steps=True): edge_index = batch.edge_index sections = ( torch.bincount(batch.batch).tolist() if hasattr(batch, \\\"batch\\\") else None\",\n \"outputs[element].append(readout_fn(**hiddens)) return outputs def initialize(self, batch): hiddens = {} # initialize attributes trough\",\n \"Batch class GNN(nn.Module): def __init__(self, mp_steps, **config): super().__init__() self.mp_steps = mp_steps self.update_fns =\",\n \"= ( torch.bincount(batch.batch).tolist() if hasattr(batch, \\\"batch\\\") else None ) hiddens = self.initialize(batch) del\",\n \"mp_steps, **config): super().__init__() self.mp_steps = mp_steps self.update_fns = self.assign_update_fns() self.readout_fns = self.assign_readout_fns() def\",\n \"OrderedDict: raise NotImplementedError def assign_readout_fns(self) -> dict: raise NotImplementedError def forward(self, batch: Batch,\",\n \"sections, **hiddens): \\\"\\\"\\\" Perform a message passing step by propagating information and updating\",\n \"by propagating information and updating each element \\\"\\\"\\\" for element, update_fn in self.update_fns.items():\",\n \"embedding, f\\\"{element}_embedding\\\": embedding.clone(), f\\\"{element}_lstm\\\": None, } ) return hiddens def step(self, edge_index, sections,\",\n \"return hiddens def step(self, edge_index, sections, **hiddens): \\\"\\\"\\\" Perform a message passing step\",\n \"not output_all_steps and (step + 1) != self.mp_steps: continue for element, readout_fn in\",\n \"f\\\"{element}_embedding\\\": embedding.clone(), f\\\"{element}_lstm\\\": None, } ) return hiddens def step(self, edge_index, sections, **hiddens):\",\n \"embeddings and intialize lstm states to None for element in self.embeddings.keys(): embedding =\",\n \"__init__(self, mp_steps, **config): super().__init__() self.mp_steps = mp_steps self.update_fns = self.assign_update_fns() self.readout_fns = self.assign_readout_fns()\",\n \"update and aggregation step outputs = {element: [] for element in self.readout_fns.keys()} for\",\n \"batch): hiddens = {} # initialize attributes trough embeddings and intialize lstm states\",\n \"outputs def initialize(self, batch): hiddens = {} # initialize attributes trough embeddings and\",\n \"propagating information and updating each element \\\"\\\"\\\" for element, update_fn in self.update_fns.items(): hiddens[f\\\"{element}_embedding\\\"],\",\n \"-> OrderedDict: raise NotImplementedError def assign_readout_fns(self) -> dict: raise NotImplementedError def forward(self, batch:\",\n \"torch.nn as nn from torch_geometric.data.batch import Batch class GNN(nn.Module): def __init__(self, mp_steps, **config):\",\n \"= mp_steps self.update_fns = self.assign_update_fns() self.readout_fns = self.assign_readout_fns() def assign_update_fns(self) -> OrderedDict: raise\",\n \"initialize attributes trough embeddings and intialize lstm states to None for element in\",\n \"update_fn in self.update_fns.items(): hiddens[f\\\"{element}_embedding\\\"], hiddens[f\\\"{element}_lstm\\\"] = update_fn( edge_index=edge_index, sections=sections, element=element, **hiddens ) return\",\n \"initialize(self, batch): hiddens = {} # initialize attributes trough embeddings and intialize lstm\",\n \"hiddens = {} # initialize attributes trough embeddings and intialize lstm states to\",\n \"readout_fn in self.readout_fns.items(): outputs[element].append(readout_fn(**hiddens)) return outputs def initialize(self, batch): hiddens = {} #\",\n \"and intialize lstm states to None for element in self.embeddings.keys(): embedding = self.embeddings[element](batch[f\\\"{element}_input\\\"])\",\n \"self.readout_fns = self.assign_readout_fns() def assign_update_fns(self) -> OrderedDict: raise NotImplementedError def assign_readout_fns(self) -> dict:\",\n \"element, readout_fn in self.readout_fns.items(): outputs[element].append(readout_fn(**hiddens)) return outputs def initialize(self, batch): hiddens = {}\",\n \"for element in self.embeddings.keys(): embedding = self.embeddings[element](batch[f\\\"{element}_input\\\"]) hiddens.update( { f\\\"{element}_input\\\": embedding, f\\\"{element}_embedding\\\": embedding.clone(),\",\n \"= self.assign_update_fns() self.readout_fns = self.assign_readout_fns() def assign_update_fns(self) -> OrderedDict: raise NotImplementedError def assign_readout_fns(self)\",\n \"continue for element, readout_fn in self.readout_fns.items(): outputs[element].append(readout_fn(**hiddens)) return outputs def initialize(self, batch): hiddens\",\n \"+ 1) != self.mp_steps: continue for element, readout_fn in self.readout_fns.items(): outputs[element].append(readout_fn(**hiddens)) return outputs\",\n \"self.assign_readout_fns() def assign_update_fns(self) -> OrderedDict: raise NotImplementedError def assign_readout_fns(self) -> dict: raise NotImplementedError\",\n \"in self.readout_fns.keys()} for step in range(self.mp_steps): hiddens = self.step(edge_index=edge_index, sections=sections, **hiddens) if not\",\n \"self.assign_update_fns() self.readout_fns = self.assign_readout_fns() def assign_update_fns(self) -> OrderedDict: raise NotImplementedError def assign_readout_fns(self) ->\",\n \"sections=sections, **hiddens) if not output_all_steps and (step + 1) != self.mp_steps: continue for\",\n \"# update attributes with update and aggregation step outputs = {element: [] for\",\n \"for element in self.readout_fns.keys()} for step in range(self.mp_steps): hiddens = self.step(edge_index=edge_index, sections=sections, **hiddens)\",\n \"lstm states to None for element in self.embeddings.keys(): embedding = self.embeddings[element](batch[f\\\"{element}_input\\\"]) hiddens.update( {\",\n \"and (step + 1) != self.mp_steps: continue for element, readout_fn in self.readout_fns.items(): outputs[element].append(readout_fn(**hiddens))\",\n \"self.update_fns = self.assign_update_fns() self.readout_fns = self.assign_readout_fns() def assign_update_fns(self) -> OrderedDict: raise NotImplementedError def\",\n \"torch_geometric.data.batch import Batch class GNN(nn.Module): def __init__(self, mp_steps, **config): super().__init__() self.mp_steps = mp_steps\",\n \"**hiddens): \\\"\\\"\\\" Perform a message passing step by propagating information and updating each\",\n \"step(self, edge_index, sections, **hiddens): \\\"\\\"\\\" Perform a message passing step by propagating information\",\n \"outputs = {element: [] for element in self.readout_fns.keys()} for step in range(self.mp_steps): hiddens\",\n \"as nn from torch_geometric.data.batch import Batch class GNN(nn.Module): def __init__(self, mp_steps, **config): super().__init__()\",\n \"self.step(edge_index=edge_index, sections=sections, **hiddens) if not output_all_steps and (step + 1) != self.mp_steps: continue\",\n \"raise NotImplementedError def assign_readout_fns(self) -> dict: raise NotImplementedError def forward(self, batch: Batch, output_all_steps=True):\",\n \"NotImplementedError def assign_readout_fns(self) -> dict: raise NotImplementedError def forward(self, batch: Batch, output_all_steps=True): edge_index\",\n \"from collections import OrderedDict import torch import torch.nn as nn from torch_geometric.data.batch import\",\n \"{} # initialize attributes trough embeddings and intialize lstm states to None for\",\n \"dict: raise NotImplementedError def forward(self, batch: Batch, output_all_steps=True): edge_index = batch.edge_index sections =\",\n \"batch.edge_index sections = ( torch.bincount(batch.batch).tolist() if hasattr(batch, \\\"batch\\\") else None ) hiddens =\",\n \"attributes trough embeddings and intialize lstm states to None for element in self.embeddings.keys():\",\n \"None, } ) return hiddens def step(self, edge_index, sections, **hiddens): \\\"\\\"\\\" Perform a\",\n \"**hiddens) if not output_all_steps and (step + 1) != self.mp_steps: continue for element,\",\n \"super().__init__() self.mp_steps = mp_steps self.update_fns = self.assign_update_fns() self.readout_fns = self.assign_readout_fns() def assign_update_fns(self) ->\",\n \"None for element in self.embeddings.keys(): embedding = self.embeddings[element](batch[f\\\"{element}_input\\\"]) hiddens.update( { f\\\"{element}_input\\\": embedding, f\\\"{element}_embedding\\\":\",\n \"states to None for element in self.embeddings.keys(): embedding = self.embeddings[element](batch[f\\\"{element}_input\\\"]) hiddens.update( { f\\\"{element}_input\\\":\",\n \"edge_index, sections, **hiddens): \\\"\\\"\\\" Perform a message passing step by propagating information and\",\n \"assign_update_fns(self) -> OrderedDict: raise NotImplementedError def assign_readout_fns(self) -> dict: raise NotImplementedError def forward(self,\",\n \"if not output_all_steps and (step + 1) != self.mp_steps: continue for element, readout_fn\",\n \"hasattr(batch, \\\"batch\\\") else None ) hiddens = self.initialize(batch) del batch # update attributes\",\n \"element in self.readout_fns.keys()} for step in range(self.mp_steps): hiddens = self.step(edge_index=edge_index, sections=sections, **hiddens) if\",\n \"Perform a message passing step by propagating information and updating each element \\\"\\\"\\\"\",\n \"for element, readout_fn in self.readout_fns.items(): outputs[element].append(readout_fn(**hiddens)) return outputs def initialize(self, batch): hiddens =\",\n \"= self.initialize(batch) del batch # update attributes with update and aggregation step outputs\",\n \"= {element: [] for element in self.readout_fns.keys()} for step in range(self.mp_steps): hiddens =\",\n \"hiddens def step(self, edge_index, sections, **hiddens): \\\"\\\"\\\" Perform a message passing step by\",\n \"batch # update attributes with update and aggregation step outputs = {element: []\",\n \"= self.embeddings[element](batch[f\\\"{element}_input\\\"]) hiddens.update( { f\\\"{element}_input\\\": embedding, f\\\"{element}_embedding\\\": embedding.clone(), f\\\"{element}_lstm\\\": None, } ) return\",\n \"self.mp_steps: continue for element, readout_fn in self.readout_fns.items(): outputs[element].append(readout_fn(**hiddens)) return outputs def initialize(self, batch):\",\n \"def assign_update_fns(self) -> OrderedDict: raise NotImplementedError def assign_readout_fns(self) -> dict: raise NotImplementedError def\",\n \"= batch.edge_index sections = ( torch.bincount(batch.batch).tolist() if hasattr(batch, \\\"batch\\\") else None ) hiddens\",\n \"from torch_geometric.data.batch import Batch class GNN(nn.Module): def __init__(self, mp_steps, **config): super().__init__() self.mp_steps =\",\n \"-> dict: raise NotImplementedError def forward(self, batch: Batch, output_all_steps=True): edge_index = batch.edge_index sections\",\n \"( torch.bincount(batch.batch).tolist() if hasattr(batch, \\\"batch\\\") else None ) hiddens = self.initialize(batch) del batch\",\n \"update attributes with update and aggregation step outputs = {element: [] for element\",\n \"aggregation step outputs = {element: [] for element in self.readout_fns.keys()} for step in\",\n \"= {} # initialize attributes trough embeddings and intialize lstm states to None\",\n \"\\\"\\\"\\\" Perform a message passing step by propagating information and updating each element\",\n \"self.embeddings.keys(): embedding = self.embeddings[element](batch[f\\\"{element}_input\\\"]) hiddens.update( { f\\\"{element}_input\\\": embedding, f\\\"{element}_embedding\\\": embedding.clone(), f\\\"{element}_lstm\\\": None, }\",\n \"torch import torch.nn as nn from torch_geometric.data.batch import Batch class GNN(nn.Module): def __init__(self,\",\n \"def initialize(self, batch): hiddens = {} # initialize attributes trough embeddings and intialize\",\n \"step outputs = {element: [] for element in self.readout_fns.keys()} for step in range(self.mp_steps):\",\n \"**config): super().__init__() self.mp_steps = mp_steps self.update_fns = self.assign_update_fns() self.readout_fns = self.assign_readout_fns() def assign_update_fns(self)\",\n \"and updating each element \\\"\\\"\\\" for element, update_fn in self.update_fns.items(): hiddens[f\\\"{element}_embedding\\\"], hiddens[f\\\"{element}_lstm\\\"] =\",\n \"else None ) hiddens = self.initialize(batch) del batch # update attributes with update\",\n \"{ f\\\"{element}_input\\\": embedding, f\\\"{element}_embedding\\\": embedding.clone(), f\\\"{element}_lstm\\\": None, } ) return hiddens def step(self,\",\n \"nn from torch_geometric.data.batch import Batch class GNN(nn.Module): def __init__(self, mp_steps, **config): super().__init__() self.mp_steps\"\n]","isConversational":false}}},{"rowIdx":1293,"cells":{"ngram":{"kind":"list like","value":["self.relu1(output_1) output_2 = self.gcn_2(output_1_relu, adj) output_2_res = output_2 + input output = self.relu2(output_2_res)","adj) output_1_relu = self.relu1(output_1) output_2 = self.gcn_2(output_1_relu, adj) output_2_res = output_2 + input","self.relu2 = nn.ReLU() self.name = name def forward(self, input, adj): output_1 = self.gcn_1(input,","name=''): super(GraphResConvolution, self).__init__() self.state_dim = state_dim self.gcn_1 = GraphConvolution(state_dim, '%s_1' % name) self.gcn_2","= nn.ReLU() self.relu2 = nn.ReLU() self.name = name def forward(self, input, adj): output_1","torch.nn.modules.module import Module from GNN.GCN_layer import GraphConvolution class GraphResConvolution(Module): \"\"\" Simple GCN layer,","state_dim, name=''): super(GraphResConvolution, self).__init__() self.state_dim = state_dim self.gcn_1 = GraphConvolution(state_dim, '%s_1' % name)","% name) self.relu1 = nn.ReLU() self.relu2 = nn.ReLU() self.name = name def forward(self,","output_2 = self.gcn_2(output_1_relu, adj) output_2_res = output_2 + input output = self.relu2(output_2_res) return","input output = self.relu2(output_2_res) return output def __repr__(self): return self.__class__.__name__ + ' ('","+ input output = self.relu2(output_2_res) return output def __repr__(self): return self.__class__.__name__ + '","torch.nn as nn from torch.nn.modules.module import Module from GNN.GCN_layer import GraphConvolution class GraphResConvolution(Module):","self.relu2(output_2_res) return output def __repr__(self): return self.__class__.__name__ + ' (' + self.name +","name) self.gcn_2 = GraphConvolution(state_dim, '%s_2' % name) self.relu1 = nn.ReLU() self.relu2 = nn.ReLU()","from torch.nn.modules.module import Module from GNN.GCN_layer import GraphConvolution class GraphResConvolution(Module): \"\"\" Simple GCN","name def forward(self, input, adj): output_1 = self.gcn_1(input, adj) output_1_relu = self.relu1(output_1) output_2","super(GraphResConvolution, self).__init__() self.state_dim = state_dim self.gcn_1 = GraphConvolution(state_dim, '%s_1' % name) self.gcn_2 =","math import torch import torch.nn as nn from torch.nn.modules.module import Module from GNN.GCN_layer","GraphConvolution(state_dim, '%s_2' % name) self.relu1 = nn.ReLU() self.relu2 = nn.ReLU() self.name = name","def __init__(self, state_dim, name=''): super(GraphResConvolution, self).__init__() self.state_dim = state_dim self.gcn_1 = GraphConvolution(state_dim, '%s_1'","output_1 = self.gcn_1(input, adj) output_1_relu = self.relu1(output_1) output_2 = self.gcn_2(output_1_relu, adj) output_2_res =","output_2 + input output = self.relu2(output_2_res) return output def __repr__(self): return self.__class__.__name__ +","= GraphConvolution(state_dim, '%s_1' % name) self.gcn_2 = GraphConvolution(state_dim, '%s_2' % name) self.relu1 =","class GraphResConvolution(Module): \"\"\" Simple GCN layer, similar to https://arxiv.org/abs/1609.02907 \"\"\" def __init__(self, state_dim,","GCN layer, similar to https://arxiv.org/abs/1609.02907 \"\"\" def __init__(self, state_dim, name=''): super(GraphResConvolution, self).__init__() self.state_dim","self.gcn_2(output_1_relu, adj) output_2_res = output_2 + input output = self.relu2(output_2_res) return output def","GraphResConvolution(Module): \"\"\" Simple GCN layer, similar to https://arxiv.org/abs/1609.02907 \"\"\" def __init__(self, state_dim, name=''):","import GraphConvolution class GraphResConvolution(Module): \"\"\" Simple GCN layer, similar to https://arxiv.org/abs/1609.02907 \"\"\" def","layer, similar to https://arxiv.org/abs/1609.02907 \"\"\" def __init__(self, state_dim, name=''): super(GraphResConvolution, self).__init__() self.state_dim =","adj): output_1 = self.gcn_1(input, adj) output_1_relu = self.relu1(output_1) output_2 = self.gcn_2(output_1_relu, adj) output_2_res","= self.gcn_1(input, adj) output_1_relu = self.relu1(output_1) output_2 = self.gcn_2(output_1_relu, adj) output_2_res = output_2","= GraphConvolution(state_dim, '%s_2' % name) self.relu1 = nn.ReLU() self.relu2 = nn.ReLU() self.name =","'%s_1' % name) self.gcn_2 = GraphConvolution(state_dim, '%s_2' % name) self.relu1 = nn.ReLU() self.relu2","GNN.GCN_layer import GraphConvolution class GraphResConvolution(Module): \"\"\" Simple GCN layer, similar to https://arxiv.org/abs/1609.02907 \"\"\"","input, adj): output_1 = self.gcn_1(input, adj) output_1_relu = self.relu1(output_1) output_2 = self.gcn_2(output_1_relu, adj)","as nn from torch.nn.modules.module import Module from GNN.GCN_layer import GraphConvolution class GraphResConvolution(Module): \"\"\"","nn.ReLU() self.relu2 = nn.ReLU() self.name = name def forward(self, input, adj): output_1 =","https://arxiv.org/abs/1609.02907 \"\"\" def __init__(self, state_dim, name=''): super(GraphResConvolution, self).__init__() self.state_dim = state_dim self.gcn_1 =","state_dim self.gcn_1 = GraphConvolution(state_dim, '%s_1' % name) self.gcn_2 = GraphConvolution(state_dim, '%s_2' % name)","% name) self.gcn_2 = GraphConvolution(state_dim, '%s_2' % name) self.relu1 = nn.ReLU() self.relu2 =","self.relu1 = nn.ReLU() self.relu2 = nn.ReLU() self.name = name def forward(self, input, adj):","similar to https://arxiv.org/abs/1609.02907 \"\"\" def __init__(self, state_dim, name=''): super(GraphResConvolution, self).__init__() self.state_dim = state_dim","= output_2 + input output = self.relu2(output_2_res) return output def __repr__(self): return self.__class__.__name__","nn from torch.nn.modules.module import Module from GNN.GCN_layer import GraphConvolution class GraphResConvolution(Module): \"\"\" Simple","output = self.relu2(output_2_res) return output def __repr__(self): return self.__class__.__name__ + ' (' +","def forward(self, input, adj): output_1 = self.gcn_1(input, adj) output_1_relu = self.relu1(output_1) output_2 =","self.gcn_2 = GraphConvolution(state_dim, '%s_2' % name) self.relu1 = nn.ReLU() self.relu2 = nn.ReLU() self.name","\"\"\" Simple GCN layer, similar to https://arxiv.org/abs/1609.02907 \"\"\" def __init__(self, state_dim, name=''): super(GraphResConvolution,","nn.ReLU() self.name = name def forward(self, input, adj): output_1 = self.gcn_1(input, adj) output_1_relu","forward(self, input, adj): output_1 = self.gcn_1(input, adj) output_1_relu = self.relu1(output_1) output_2 = self.gcn_2(output_1_relu,","name) self.relu1 = nn.ReLU() self.relu2 = nn.ReLU() self.name = name def forward(self, input,","= nn.ReLU() self.name = name def forward(self, input, adj): output_1 = self.gcn_1(input, adj)","= self.relu2(output_2_res) return output def __repr__(self): return self.__class__.__name__ + ' (' + self.name","'%s_2' % name) self.relu1 = nn.ReLU() self.relu2 = nn.ReLU() self.name = name def","GraphConvolution(state_dim, '%s_1' % name) self.gcn_2 = GraphConvolution(state_dim, '%s_2' % name) self.relu1 = nn.ReLU()","self.state_dim = state_dim self.gcn_1 = GraphConvolution(state_dim, '%s_1' % name) self.gcn_2 = GraphConvolution(state_dim, '%s_2'","__init__(self, state_dim, name=''): super(GraphResConvolution, self).__init__() self.state_dim = state_dim self.gcn_1 = GraphConvolution(state_dim, '%s_1' %","= self.relu1(output_1) output_2 = self.gcn_2(output_1_relu, adj) output_2_res = output_2 + input output =","adj) output_2_res = output_2 + input output = self.relu2(output_2_res) return output def __repr__(self):","self.name = name def forward(self, input, adj): output_1 = self.gcn_1(input, adj) output_1_relu =","= state_dim self.gcn_1 = GraphConvolution(state_dim, '%s_1' % name) self.gcn_2 = GraphConvolution(state_dim, '%s_2' %","import torch.nn as nn from torch.nn.modules.module import Module from GNN.GCN_layer import GraphConvolution class","import math import torch import torch.nn as nn from torch.nn.modules.module import Module from","Module from GNN.GCN_layer import GraphConvolution class GraphResConvolution(Module): \"\"\" Simple GCN layer, similar to","= self.gcn_2(output_1_relu, adj) output_2_res = output_2 + input output = self.relu2(output_2_res) return output","import torch import torch.nn as nn from torch.nn.modules.module import Module from GNN.GCN_layer import","output_2_res = output_2 + input output = self.relu2(output_2_res) return output def __repr__(self): return","<reponame>vivek-r-2000/BoundaryNet<gh_stars>10-100 import math import torch import torch.nn as nn from torch.nn.modules.module import Module","\"\"\" def __init__(self, state_dim, name=''): super(GraphResConvolution, self).__init__() self.state_dim = state_dim self.gcn_1 = GraphConvolution(state_dim,","import Module from GNN.GCN_layer import GraphConvolution class GraphResConvolution(Module): \"\"\" Simple GCN layer, similar","torch import torch.nn as nn from torch.nn.modules.module import Module from GNN.GCN_layer import GraphConvolution","output_1_relu = self.relu1(output_1) output_2 = self.gcn_2(output_1_relu, adj) output_2_res = output_2 + input output","to https://arxiv.org/abs/1609.02907 \"\"\" def __init__(self, state_dim, name=''): super(GraphResConvolution, self).__init__() self.state_dim = state_dim self.gcn_1","Simple GCN layer, similar to https://arxiv.org/abs/1609.02907 \"\"\" def __init__(self, state_dim, name=''): super(GraphResConvolution, self).__init__()","from GNN.GCN_layer import GraphConvolution class GraphResConvolution(Module): \"\"\" Simple GCN layer, similar to https://arxiv.org/abs/1609.02907","return output def __repr__(self): return self.__class__.__name__ + ' (' + self.name + ')'","= name def forward(self, input, adj): output_1 = self.gcn_1(input, adj) output_1_relu = self.relu1(output_1)","GraphConvolution class GraphResConvolution(Module): \"\"\" Simple GCN layer, similar to https://arxiv.org/abs/1609.02907 \"\"\" def __init__(self,","self.gcn_1 = GraphConvolution(state_dim, '%s_1' % name) self.gcn_2 = GraphConvolution(state_dim, '%s_2' % name) self.relu1","self).__init__() self.state_dim = state_dim self.gcn_1 = GraphConvolution(state_dim, '%s_1' % name) self.gcn_2 = GraphConvolution(state_dim,","self.gcn_1(input, adj) output_1_relu = self.relu1(output_1) output_2 = self.gcn_2(output_1_relu, adj) output_2_res = output_2 +"],"string":"[\n \"self.relu1(output_1) output_2 = self.gcn_2(output_1_relu, adj) output_2_res = output_2 + input output = self.relu2(output_2_res)\",\n \"adj) output_1_relu = self.relu1(output_1) output_2 = self.gcn_2(output_1_relu, adj) output_2_res = output_2 + input\",\n \"self.relu2 = nn.ReLU() self.name = name def forward(self, input, adj): output_1 = self.gcn_1(input,\",\n \"name=''): super(GraphResConvolution, self).__init__() self.state_dim = state_dim self.gcn_1 = GraphConvolution(state_dim, '%s_1' % name) self.gcn_2\",\n \"= nn.ReLU() self.relu2 = nn.ReLU() self.name = name def forward(self, input, adj): output_1\",\n \"torch.nn.modules.module import Module from GNN.GCN_layer import GraphConvolution class GraphResConvolution(Module): \\\"\\\"\\\" Simple GCN layer,\",\n \"state_dim, name=''): super(GraphResConvolution, self).__init__() self.state_dim = state_dim self.gcn_1 = GraphConvolution(state_dim, '%s_1' % name)\",\n \"% name) self.relu1 = nn.ReLU() self.relu2 = nn.ReLU() self.name = name def forward(self,\",\n \"output_2 = self.gcn_2(output_1_relu, adj) output_2_res = output_2 + input output = self.relu2(output_2_res) return\",\n \"input output = self.relu2(output_2_res) return output def __repr__(self): return self.__class__.__name__ + ' ('\",\n \"+ input output = self.relu2(output_2_res) return output def __repr__(self): return self.__class__.__name__ + '\",\n \"torch.nn as nn from torch.nn.modules.module import Module from GNN.GCN_layer import GraphConvolution class GraphResConvolution(Module):\",\n \"self.relu2(output_2_res) return output def __repr__(self): return self.__class__.__name__ + ' (' + self.name +\",\n \"name) self.gcn_2 = GraphConvolution(state_dim, '%s_2' % name) self.relu1 = nn.ReLU() self.relu2 = nn.ReLU()\",\n \"from torch.nn.modules.module import Module from GNN.GCN_layer import GraphConvolution class GraphResConvolution(Module): \\\"\\\"\\\" Simple GCN\",\n \"name def forward(self, input, adj): output_1 = self.gcn_1(input, adj) output_1_relu = self.relu1(output_1) output_2\",\n \"super(GraphResConvolution, self).__init__() self.state_dim = state_dim self.gcn_1 = GraphConvolution(state_dim, '%s_1' % name) self.gcn_2 =\",\n \"math import torch import torch.nn as nn from torch.nn.modules.module import Module from GNN.GCN_layer\",\n \"GraphConvolution(state_dim, '%s_2' % name) self.relu1 = nn.ReLU() self.relu2 = nn.ReLU() self.name = name\",\n \"def __init__(self, state_dim, name=''): super(GraphResConvolution, self).__init__() self.state_dim = state_dim self.gcn_1 = GraphConvolution(state_dim, '%s_1'\",\n \"output_1 = self.gcn_1(input, adj) output_1_relu = self.relu1(output_1) output_2 = self.gcn_2(output_1_relu, adj) output_2_res =\",\n \"output_2 + input output = self.relu2(output_2_res) return output def __repr__(self): return self.__class__.__name__ +\",\n \"= GraphConvolution(state_dim, '%s_1' % name) self.gcn_2 = GraphConvolution(state_dim, '%s_2' % name) self.relu1 =\",\n \"class GraphResConvolution(Module): \\\"\\\"\\\" Simple GCN layer, similar to https://arxiv.org/abs/1609.02907 \\\"\\\"\\\" def __init__(self, state_dim,\",\n \"GCN layer, similar to https://arxiv.org/abs/1609.02907 \\\"\\\"\\\" def __init__(self, state_dim, name=''): super(GraphResConvolution, self).__init__() self.state_dim\",\n \"self.gcn_2(output_1_relu, adj) output_2_res = output_2 + input output = self.relu2(output_2_res) return output def\",\n \"GraphResConvolution(Module): \\\"\\\"\\\" Simple GCN layer, similar to https://arxiv.org/abs/1609.02907 \\\"\\\"\\\" def __init__(self, state_dim, name=''):\",\n \"import GraphConvolution class GraphResConvolution(Module): \\\"\\\"\\\" Simple GCN layer, similar to https://arxiv.org/abs/1609.02907 \\\"\\\"\\\" def\",\n \"layer, similar to https://arxiv.org/abs/1609.02907 \\\"\\\"\\\" def __init__(self, state_dim, name=''): super(GraphResConvolution, self).__init__() self.state_dim =\",\n \"adj): output_1 = self.gcn_1(input, adj) output_1_relu = self.relu1(output_1) output_2 = self.gcn_2(output_1_relu, adj) output_2_res\",\n \"= self.gcn_1(input, adj) output_1_relu = self.relu1(output_1) output_2 = self.gcn_2(output_1_relu, adj) output_2_res = output_2\",\n \"= GraphConvolution(state_dim, '%s_2' % name) self.relu1 = nn.ReLU() self.relu2 = nn.ReLU() self.name =\",\n \"'%s_1' % name) self.gcn_2 = GraphConvolution(state_dim, '%s_2' % name) self.relu1 = nn.ReLU() self.relu2\",\n \"GNN.GCN_layer import GraphConvolution class GraphResConvolution(Module): \\\"\\\"\\\" Simple GCN layer, similar to https://arxiv.org/abs/1609.02907 \\\"\\\"\\\"\",\n \"input, adj): output_1 = self.gcn_1(input, adj) output_1_relu = self.relu1(output_1) output_2 = self.gcn_2(output_1_relu, adj)\",\n \"as nn from torch.nn.modules.module import Module from GNN.GCN_layer import GraphConvolution class GraphResConvolution(Module): \\\"\\\"\\\"\",\n \"nn.ReLU() self.relu2 = nn.ReLU() self.name = name def forward(self, input, adj): output_1 =\",\n \"https://arxiv.org/abs/1609.02907 \\\"\\\"\\\" def __init__(self, state_dim, name=''): super(GraphResConvolution, self).__init__() self.state_dim = state_dim self.gcn_1 =\",\n \"state_dim self.gcn_1 = GraphConvolution(state_dim, '%s_1' % name) self.gcn_2 = GraphConvolution(state_dim, '%s_2' % name)\",\n \"% name) self.gcn_2 = GraphConvolution(state_dim, '%s_2' % name) self.relu1 = nn.ReLU() self.relu2 =\",\n \"self.relu1 = nn.ReLU() self.relu2 = nn.ReLU() self.name = name def forward(self, input, adj):\",\n \"similar to https://arxiv.org/abs/1609.02907 \\\"\\\"\\\" def __init__(self, state_dim, name=''): super(GraphResConvolution, self).__init__() self.state_dim = state_dim\",\n \"= output_2 + input output = self.relu2(output_2_res) return output def __repr__(self): return self.__class__.__name__\",\n \"nn from torch.nn.modules.module import Module from GNN.GCN_layer import GraphConvolution class GraphResConvolution(Module): \\\"\\\"\\\" Simple\",\n \"output = self.relu2(output_2_res) return output def __repr__(self): return self.__class__.__name__ + ' (' +\",\n \"def forward(self, input, adj): output_1 = self.gcn_1(input, adj) output_1_relu = self.relu1(output_1) output_2 =\",\n \"self.gcn_2 = GraphConvolution(state_dim, '%s_2' % name) self.relu1 = nn.ReLU() self.relu2 = nn.ReLU() self.name\",\n \"\\\"\\\"\\\" Simple GCN layer, similar to https://arxiv.org/abs/1609.02907 \\\"\\\"\\\" def __init__(self, state_dim, name=''): super(GraphResConvolution,\",\n \"nn.ReLU() self.name = name def forward(self, input, adj): output_1 = self.gcn_1(input, adj) output_1_relu\",\n \"forward(self, input, adj): output_1 = self.gcn_1(input, adj) output_1_relu = self.relu1(output_1) output_2 = self.gcn_2(output_1_relu,\",\n \"name) self.relu1 = nn.ReLU() self.relu2 = nn.ReLU() self.name = name def forward(self, input,\",\n \"= nn.ReLU() self.name = name def forward(self, input, adj): output_1 = self.gcn_1(input, adj)\",\n \"= self.relu2(output_2_res) return output def __repr__(self): return self.__class__.__name__ + ' (' + self.name\",\n \"'%s_2' % name) self.relu1 = nn.ReLU() self.relu2 = nn.ReLU() self.name = name def\",\n \"GraphConvolution(state_dim, '%s_1' % name) self.gcn_2 = GraphConvolution(state_dim, '%s_2' % name) self.relu1 = nn.ReLU()\",\n \"self.state_dim = state_dim self.gcn_1 = GraphConvolution(state_dim, '%s_1' % name) self.gcn_2 = GraphConvolution(state_dim, '%s_2'\",\n \"__init__(self, state_dim, name=''): super(GraphResConvolution, self).__init__() self.state_dim = state_dim self.gcn_1 = GraphConvolution(state_dim, '%s_1' %\",\n \"= self.relu1(output_1) output_2 = self.gcn_2(output_1_relu, adj) output_2_res = output_2 + input output =\",\n \"adj) output_2_res = output_2 + input output = self.relu2(output_2_res) return output def __repr__(self):\",\n \"self.name = name def forward(self, input, adj): output_1 = self.gcn_1(input, adj) output_1_relu =\",\n \"= state_dim self.gcn_1 = GraphConvolution(state_dim, '%s_1' % name) self.gcn_2 = GraphConvolution(state_dim, '%s_2' %\",\n \"import torch.nn as nn from torch.nn.modules.module import Module from GNN.GCN_layer import GraphConvolution class\",\n \"import math import torch import torch.nn as nn from torch.nn.modules.module import Module from\",\n \"Module from GNN.GCN_layer import GraphConvolution class GraphResConvolution(Module): \\\"\\\"\\\" Simple GCN layer, similar to\",\n \"= self.gcn_2(output_1_relu, adj) output_2_res = output_2 + input output = self.relu2(output_2_res) return output\",\n \"import torch import torch.nn as nn from torch.nn.modules.module import Module from GNN.GCN_layer import\",\n \"output_2_res = output_2 + input output = self.relu2(output_2_res) return output def __repr__(self): return\",\n \"<reponame>vivek-r-2000/BoundaryNet<gh_stars>10-100 import math import torch import torch.nn as nn from torch.nn.modules.module import Module\",\n \"\\\"\\\"\\\" def __init__(self, state_dim, name=''): super(GraphResConvolution, self).__init__() self.state_dim = state_dim self.gcn_1 = GraphConvolution(state_dim,\",\n \"import Module from GNN.GCN_layer import GraphConvolution class GraphResConvolution(Module): \\\"\\\"\\\" Simple GCN layer, similar\",\n \"torch import torch.nn as nn from torch.nn.modules.module import Module from GNN.GCN_layer import GraphConvolution\",\n \"output_1_relu = self.relu1(output_1) output_2 = self.gcn_2(output_1_relu, adj) output_2_res = output_2 + input output\",\n \"to https://arxiv.org/abs/1609.02907 \\\"\\\"\\\" def __init__(self, state_dim, name=''): super(GraphResConvolution, self).__init__() self.state_dim = state_dim self.gcn_1\",\n \"Simple GCN layer, similar to https://arxiv.org/abs/1609.02907 \\\"\\\"\\\" def __init__(self, state_dim, name=''): super(GraphResConvolution, self).__init__()\",\n \"from GNN.GCN_layer import GraphConvolution class GraphResConvolution(Module): \\\"\\\"\\\" Simple GCN layer, similar to https://arxiv.org/abs/1609.02907\",\n \"return output def __repr__(self): return self.__class__.__name__ + ' (' + self.name + ')'\",\n \"= name def forward(self, input, adj): output_1 = self.gcn_1(input, adj) output_1_relu = self.relu1(output_1)\",\n \"GraphConvolution class GraphResConvolution(Module): \\\"\\\"\\\" Simple GCN layer, similar to https://arxiv.org/abs/1609.02907 \\\"\\\"\\\" def __init__(self,\",\n \"self.gcn_1 = GraphConvolution(state_dim, '%s_1' % name) self.gcn_2 = GraphConvolution(state_dim, '%s_2' % name) self.relu1\",\n \"self).__init__() self.state_dim = state_dim self.gcn_1 = GraphConvolution(state_dim, '%s_1' % name) self.gcn_2 = GraphConvolution(state_dim,\",\n \"self.gcn_1(input, adj) output_1_relu = self.relu1(output_1) output_2 = self.gcn_2(output_1_relu, adj) output_2_res = output_2 +\"\n]","isConversational":false}}},{"rowIdx":1294,"cells":{"ngram":{"kind":"list like","value":["self._chunks_moved_to = None self._chunk_splits = None # Track previous file position for loop","= line.decode(\"utf-8\", \"replace\") if self.binary == \"mongos\": if \"Starting new replica set monitor","None self._binary = None self._timezone = None self._hostname = None self._port = None","= match.group('namespace') # TODO: alter this to find moved from shard name when","= None self._year_rollover = None self._shards = None self._csrs = None self._chunks_moved_from =","if match: time = logevent.datetime split_range = match.group(\"range\") namespace = match.group(\"namespace\") numSplits =","logevent)) if \"starting :\" in line or \"starting:\" in line: # look for","logevent.datetime split_range = match.group(\"range\") namespace = match.group(\"namespace\") numSplits = 0 success = False","tell us definitively that wiredTiger is being used \"\"\" if \"[initandlisten] wiredtiger_open config:\"","return self._csrs @property def chunks_moved_to(self): \"\"\"Lazily return the chunks moved to this shard","logfile has any level lines.\"\"\" if self._has_level is None: self._iterate_lines() return self._has_level @property","bounds are calculated before starting to iterate, # including potential year rollovers self._calculate_bounds()","self.filehandle.seek(0) def _check_for_restart(self, logevent): if (logevent.thread == 'initandlisten' and \"db version v\" in","match.group('replSetMembers')) self._csrs = csrs_info else: match = re.search(\"for (?P<shardName>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match:","self._shards.append(( match.group('replSet'), match.group('replSetMembers') )) elif not self._csrs: self._csrs = ( match.group('replSet'), match.group('replSetMembers') )","most to make sure we catch one) self.filehandle.seek(0, 2) self._filesize = self.filehandle.tell() self.filehandle.seek(-min(self._filesize,","find a valid log line within max_start_lines max_start_lines = 10 lines_checked = 0","to be forwarded manually, and it will miss the first line that would","le: break if le.datetime >= start_dt: step_size = -abs(step_size) else: step_size = abs(step_size)","before attempting to find end date if (self._start is None): raise SystemExit(\"Error: <%s>","\"\"\"Provide logfile as open file stream or stdin.\"\"\" self.filehandle = filehandle self.name =","= re.search('engine: \"(?P<engine>\\S+)\"', line) if match: self._storage_engine = match.group('engine') else: self._storage_engine = 'mmapv1'",">= start_dt: self.filehandle.seek(0) return le = None self.filehandle.seek(0) # search for lower bound","line) if match: csrs_info = (match.group('csrsName'), match.group('replSetMembers')) self._csrs = csrs_info else: match =","\"mongos\": if \"Starting new replica set monitor for\" in line: if \"[mongosMain]\" in","config logging in MongoDB 3.0+ new_config = (\"New replica set config in use:","binary name.\"\"\" if not self._num_lines: self._iterate_lines() return self._port @property def versions(self): \"\"\"Return all","(if available)\"\"\" if not self._chunk_splits: self._find_sharding_info() return self._chunk_splits def next(self): \"\"\"Get next line,","None self._has_level = None # make sure bounds are calculated before starting to","match: time = logevent.datetime split_range = match.group(\"range\") namespace = match.group(\"namespace\") time_taken = match.group(\"time_taken\")","namespace = match.group('namespace') moved_to = match.group('movedTo') note = match.group('note') if note == \"success\":","the datetime format.\"\"\" if self._year_rollover is None: self._calculate_bounds() return self._year_rollover @property def num_lines(self):","_calculate_bounds(self): \"\"\"Calculate beginning and end of logfile.\"\"\" if self._bounds_calculated: # Assume no need","line.endswith(state))): if \"is now in state\" in line: tokens = line.split() # 2.6","time_taken = match.group(\"time_taken\") numSplits = 0 success = True error = None self._chunk_splits.append((time,","version string (fast check to eliminate most lines) if \"version\" in line[:100]: logevent","logevent = LogEvent(line) if logevent.datetime: self._end = logevent.datetime break # if there was","self.filehandle.seek(0, 2) self._filesize = self.filehandle.tell() self.filehandle.seek(-min(self._filesize, 30000), 2) for line in reversed(self.filehandle.readlines()): logevent","= match.group('replSet') self._repl_set_members = match.group('replSetMembers') # Replica set config logging in MongoDB 3.0+","end of file return None def _find_sharding_info(self): \"\"\" Iterate over file and find","truly smaller line while self.filehandle.tell() >= 2 and (le.datetime is None or le.datetime","beginning and end of logfile.\"\"\" if self._bounds_calculated: # Assume no need to recalc","self.states: rs_state = tokens[-1] else: # 2.6 if tokens[1].endswith(']'): pos = 2 else:","match.group(\"namespace\") numSplits = 0 success = False time_taken = 0 error = match.group(\"error\")","filehandle.name == \"<stdin>\" self._bounds_calculated = False self._start = None self._end = None self._filesize","line == '': raise StopIteration line = line.rstrip('\\n') le = LogEvent(line) # hint","SystemExit(\"Cannot parse %s with requested options\" % self.filehandle.name) else: self.prev_pos = curr_pos if","{ replSetInitiate:\" in line: match = re.search('{ _id: \"(?P<replSet>\\S+)\", ' 'members: (?P<replSetMembers>[^]]+ ])',","based on the current seek position. \"\"\" curr_pos = self.filehandle.tell() # jump back","state\" in line: tokens = line.split() # 2.6 if tokens[1].endswith(']'): pos = 4","def end(self): \"\"\" Lazy evaluation of start and end of logfile. Returns None","if match: self._repl_set_members = match.group('replSetMembers') # if (\"is now in state\" in line","return self._repl_set_protocol @property def storage_engine(self): \"\"\"Return storage engine if available.\"\"\" if not self._num_lines:","= LogEvent(line) match = re.search('ns: \"(?P<namespace>\\S+)\".*' 'details: { (?P<range>.*\\}).*' 'to: \"(?P<movedTo>\\S+)\".*note: \"(?P<note>\\S+)\"', line)","(if available)\"\"\" if not self._chunks_moved_from: self._find_sharding_info() return self._chunks_moved_from @property def chunk_splits(self): \"\"\"Lazily return","start_dt is already smaller than first datetime self.filehandle.seek(0) le = self.next() if le.datetime","Fast-forward file to given start_dt datetime obj using binary search. Only fast for","match.group('replSetMembers')) self._shards.append(shard_info) elif self.binary == \"mongod\": logevent = LogEvent(line) if \"New replica set","if not self._num_lines: self._iterate_lines() return self._repl_set_protocol @property def storage_engine(self): \"\"\"Return storage engine if","self._storage_engine = None self._datetime_format = None self._year_rollover = None self._shards = None self._csrs","a roll-over, subtract 1 year from start time if self._end < self._start: self._start","= 'mongos' else: return False version = re.search(r'(\\d\\.\\d\\.\\d+)', logevent.line_str) if version: version =","isinstance(line, bytes): line = line.decode('utf-8', 'replace') if line == '': raise StopIteration line","le.datetime: # gather new hint info from another logevent self._datetime_format = le.datetime_format self._datetime_nextpos","for each line (generator). \"\"\" le = None while True: try: le =","%s:\\n\\n%s\\n%s\\n\" \"<--- (current log parsing offset) \\n%s\\n%s\\n\" % (curr_pos, self.name, hr, buff[:error_context], buff[error_context:error_context","line) if match: time = logevent.datetime split_range = match.group(\"range\") namespace = match.group(\"namespace\") numSplits","= match.group(\"error\") self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \"jumbo\" in line:","vector for\" in line: logevent = LogEvent(line) match = re.search('for (?P<namespace>\\S+).*' 'numSplits: (?P<numSplits>\\d+)',","now tell us definitively that wiredTiger is being used \"\"\" if \"[initandlisten] wiredtiger_open","line that would otherwise match (as it consumes the log line). \"\"\" if","smaller line while self.filehandle.tell() >= 2 and (le.datetime is None or le.datetime >=","False # reset logfile self.filehandle.seek(0) self._bounds_calculated = True return True def _find_curr_line(self, prev=False):","(at most) and find last newline char jump_back = min(self.filehandle.tell(), 15000) self.filehandle.seek(-jump_back, 1)","available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set_version @property def repl_set_protocol(self): \"\"\"Return the replSet","line.split() # 2.6 if tokens[1].endswith(']'): pos = 4 else: pos = 5 host","replSet\" in line: tokens = line.split() if self._hostname: host = self._hostname + ':'","self._timezone = None self._hostname = None self._port = None self._rs_state = None self._repl_set","restarts(self): \"\"\"Lazy evaluation of all restarts.\"\"\" if not self._num_lines: self._iterate_lines() return self._restarts @property","[] for v, _ in self.restarts: if len(versions) == 0 or v !=","new replica set monitor for\" in line: if \"[mongosMain]\" in line: match =","is None: self._calculate_bounds() return self._year_rollover @property def num_lines(self): \"\"\" Lazy evaluation of the","None self._chunks_moved_from = None self._chunks_moved_to = None self._chunk_splits = None # Track previous","line in self.filehandle: logevent = LogEvent(line) lines_checked += 1 if logevent.datetime: self._start =","# sanity check before attempting to find end date if (self._start is None):","iterate, # including potential year rollovers self._calculate_bounds() @property def start(self): \"\"\" Lazy evaluation","logevent.datetime: logevent = self.next() return logevent except StopIteration: # reached end of file","buff = self.filehandle.read(curr_pos) hr = \"-\" * 60 print(\"Fatal log parsing loop detected","LogEvent(line) match = re.search(\"chunk \\[(?P<range>.*)\\) \" 'in namespace (?P<namespace>\\S+)' ' :: caused by","not self._end: self._calculate_bounds() return self._end @property def timezone(self): \"\"\"Lazy evaluation of timezone of","match.group(\"namespace\") time_taken = match.group(\"time_taken\") numSplits = 0 success = True error = None","to given start_dt datetime obj using binary search. Only fast for files. Streams","self._num_lines = 0 self._restarts = [] self._rs_state = [] ln = 0 for","= re.search('port=(?P<port>\\d+).*host=(?P<host>\\S+)', line) if match: self._hostname = match.group('host') self._port = match.group('port') \"\"\" For","re.search(\"for (?P<csrsName>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match: csrs_info = (match.group('csrsName'), match.group('replSetMembers')) self._csrs = csrs_info","line) if match: time = logevent.datetime split_range = match.group(\"range\") namespace = match.group(\"namespace\") time_taken","Returns None for stdin input currently. \"\"\" if self.from_stdin: return None if not","self.filehandle: if isinstance(line, bytes): line = line.decode(\"utf-8\", \"replace\") if self.binary == \"mongos\": if","and self.prev_pos == curr_pos: # Number of characters to show before/after the log","\"(?P<errmsg>.*)\"', line) if match: errmsg = match.group('errmsg') chunk_migration = (time, chunk_range, moved_from, namespace,","match: self._repl_set = match.group('replSet') self._repl_set_members = match.group('replSetMembers') # Replica set config logging in","v, _ in self.restarts: if len(versions) == 0 or v != versions[-1]: versions.append(v)","= (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue if \"[rsMgr] replSet\" in line: tokens =","chunk_range = match.group('range') namespace = match.group('namespace') # TODO: alter this to find moved","max_mark = self.filesize step_size = max_mark # check if start_dt is already smaller","self._num_lines @property def restarts(self): \"\"\"Lazy evaluation of all restarts.\"\"\" if not self._num_lines: self._iterate_lines()","\"\"\" Lazy evaluation of the number of lines. Returns None for stdin input","versions[-1]: versions.append(v) return versions @property def repl_set(self): \"\"\"Return the replSet (if available).\"\"\" if","@property def chunks_moved_to(self): \"\"\"Lazily return the chunks moved to this shard (if available)\"\"\"","if not le: return # now walk backwards until we found a truly","# move back to last newline char if newline_pos == -1: self.filehandle.seek(0) return","match.group(\"error\") self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \"jumbo\" in line: logevent","# including potential year rollovers self._calculate_bounds() @property def start(self): \"\"\" Lazy evaluation of","# reached end of file return None def _find_sharding_info(self): \"\"\" Iterate over file","return False version = re.search(r'(\\d\\.\\d\\.\\d+)', logevent.line_str) if version: version = version.group(1) return version","= re.search(' _id: \"(?P<replSet>\\S+)\".*' 'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._csrs = (","\"\"\" curr_pos = self.filehandle.tell() # jump back 15k characters (at most) and find","(logevent.thread == 'initandlisten' and \"db version v\" in logevent.line_str): self._binary = 'mongod' elif","version = version.group(1) return version else: return False def _calculate_bounds(self): \"\"\"Calculate beginning and","not self.start and self.from_stdin: if le and le.datetime: self._start = le.datetime try: yield","\"\" for line in self.filehandle: if isinstance(line, bytes): line = line.decode(\"utf-8\", \"replace\") if","\\d): (?P<stepTimes>\\d+)', line) else: steps = None match = re.search('errmsg: \"(?P<errmsg>.*)\"', line) if","None for stdin input currently. \"\"\" if not self._end: self._calculate_bounds() return self._end @property","lines_checked += 1 if logevent.datetime: self._start = logevent.datetime self._timezone = logevent.datetime.tzinfo self._datetime_format =",") if \"moveChunk.from\" in line: logevent = LogEvent(line) match = re.search('ns: \"(?P<namespace>\\S+)\".*' 'details:","There were only two engines, MMAPv1 and WiredTiger \"\"\" if \"[initandlisten] options:\" in","error)) elif \"jumbo\" in line: logevent = LogEvent(line) match = re.search('migration (?P<namespace>\\S+): \\[(?P<range>.*)\\)',","split vector for\" in line: logevent = LogEvent(line) match = re.search('for (?P<namespace>\\S+).*' 'numSplits:","100: step_size = ceil(step_size / 2.) self.filehandle.seek(step_size, 1) le = self._find_curr_line() if not","new replica set monitor for\" in line: match = re.search(\"for (?P<replSet>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line)","split_range, namespace, numSplits, success, time_taken, error)) prev_line = line # reset logfile self.filehandle.seek(0)","if \"Finding the split vector for\" in line: logevent = LogEvent(line) match =","to last newline char if newline_pos == -1: self.filehandle.seek(0) return self.next() self.filehandle.seek(newline_pos -","self.prev_pos = curr_pos if isinstance(buff, bytes): buff = buff.decode(\"utf-8\", \"replace\") newline_pos = buff.rfind('\\n')","use readline here because next() iterator uses internal readahead # buffer so seek","re.search('errmsg: \"(?P<errmsg>.*)\"', line) if match: errmsg = match.group('errmsg') chunk_migration = (time, chunk_range, moved_from,","# buffer so seek position is wrong line = self.filehandle.readline() if isinstance(line, bytes):","<%s> does not appear to be a supported \" \"MongoDB log file format\"","of \\d): (?P<stepTimes>\\d+)', line) else: steps = None match = re.search('errmsg: \"(?P<errmsg>.*)\"', line)","if not self._num_lines: self._iterate_lines() return self._port @property def versions(self): \"\"\"Return all version changes.\"\"\"","1) buff = self.filehandle.read(jump_back) self.filehandle.seek(curr_pos, 0) if prev and self.prev_pos is not None","version v\" in logevent.line_str): self._binary = 'mongod' elif logevent.thread == 'mongosMain' and ('MongoS'","def filesize(self): \"\"\" Lazy evaluation of start and end of logfile. Returns None","self._port = None self._rs_state = None self._repl_set = None self._repl_set_members = None self._repl_set_version","wiredTiger is being used \"\"\" if \"[initandlisten] wiredtiger_open config:\" in line: self._storage_engine =","# next(state for state in states if line.endswith(state))): if \"is now in state\"","@property def repl_set_protocol(self): \"\"\"Return the replSet protocolVersion (if available).\"\"\" if not self._num_lines: self._iterate_lines()","= None match = re.search('errmsg: \"(?P<errmsg>.*)\"', line) if match: errmsg = match.group('errmsg') chunk_migration","break if le.datetime >= start_dt: step_size = -abs(step_size) else: step_size = abs(step_size) if","self._bounds_calculated: # Assume no need to recalc bounds for lifetime of a Logfile","end of logfile. Returns None for stdin input currently. \"\"\" if not self._end:","previous file position for loop detection in _find_curr_line() self.prev_pos = None self._has_level =","line: logevent = LogEvent(line) match = re.search('migration (?P<namespace>\\S+): \\[(?P<range>.*)\\)', prev_line) if match: time","chunk_splits(self): \"\"\"Lazily return the chunks split in this shard (if available)\"\"\" if not","a log file based on the current seek position. \"\"\" curr_pos = self.filehandle.tell()","\"(?P<replSet>\\S+)\", ' 'version: (?P<replSetVersion>\\d+), ', line) if match: self._repl_set = match.group('replSet') self._repl_set_version =","binary(self): \"\"\"Lazy evaluation of the binary name.\"\"\" if not self._num_lines: self._iterate_lines() return self._binary","look for the \"[initandlisten] wiredtiger_open config:\" which was present in 3.0, but would","else: errmsg = \"Unknown\" chunk_migration = (time, chunk_range, moved_to, namespace, steps, note, errmsg)","\"(?P<replSetMembers>\\S+)\", line) if match: if self._csrs and match.group('replSet') != self._csrs[0]: self._shards.append(( match.group('replSet'), match.group('replSetMembers')","le = None self.filehandle.seek(0) # search for lower bound while abs(step_size) > 100:","hint info from another logevent self._datetime_format = le.datetime_format self._datetime_nextpos = le._datetime_nextpos return le","= LogEvent(line) match = re.search('ns: \"(?P<namespace>\\S+)\".*' 'details: { (?P<range>.*\\}).*.*note: \"(?P<note>\\S+)\"', line) if match:","and le.datetime: self._end = le.datetime # future iterations start from the beginning if","= logevent.datetime break # if there was a roll-over, subtract 1 year from","self._chunks_moved_from = [] self._chunks_moved_to = [] self._chunk_splits = [] prev_line = \"\" for","line[31:39].strip() in LogEvent.log_components): self._has_level = True # find version string (fast check to","LogEvent.log_components): self._has_level = True # find version string (fast check to eliminate most","next() iterator uses internal readahead # buffer so seek position is wrong line","self._calculate_bounds() @property def start(self): \"\"\" Lazy evaluation of start and end of logfile.","self._repl_set_protocol = match.group('replSetProtocol') match = re.search('members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set_members =","re.findall('(?P<steps>step \\d of \\d): (?P<stepTimes>\\d+)', line) else: match = re.search(':: caused by ::","+ 1, 1) # roll forward until we found a line with a","0 self._restarts = [] self._rs_state = [] ln = 0 for ln, line","to auto-split chunk\" in line: logevent = LogEvent(line) match = re.search(\"chunk \\[(?P<range>.*)\\) \"","= False time_taken = 0 error = match.group(\"error\") self._chunk_splits.append((time, split_range, namespace, numSplits, success,","def binary(self): \"\"\"Lazy evaluation of the binary name.\"\"\" if not self._num_lines: self._iterate_lines() return","currently. \"\"\" if not self._end: self._calculate_bounds() return self._end @property def timezone(self): \"\"\"Lazy evaluation","re.search('for (?P<namespace>\\S+).*' 'numSplits: (?P<numSplits>\\d+)', line) if match: time = logevent.datetime split_range = None","= match.group(\"namespace\") numSplits = match.group('numSplits') success = None time_taken = 0 error =","max.*op_msg (?P<time_taken>\\d+)', line) if match: time = logevent.datetime split_range = match.group(\"range\") namespace =","re.search(r'(\\d\\.\\d\\.\\d+)', logevent.line_str) if version: version = version.group(1) return version else: return False def","None self._year_rollover = None self._shards = None self._csrs = None self._chunks_moved_from = None","for line in self.filehandle: if isinstance(line, bytes): line = line.decode(\"utf-8\", \"replace\") if self.binary","# reset logfile self.filehandle.seek(0) def _check_for_restart(self, logevent): if (logevent.thread == 'initandlisten' and \"db","auto-split chunk\" in line: logevent = LogEvent(line) match = re.search(\"chunk \\[(?P<range>.*)\\) \" 'in","not self._csrs: self._find_sharding_info() return self._csrs @property def chunks_moved_to(self): \"\"\"Lazily return the chunks moved","+ ':' + self._port else: host = os.path.basename(self.name) host += ' (self)' if","@property def port(self): \"\"\"Lazy evaluation of the binary name.\"\"\" if not self._num_lines: self._iterate_lines()","= 300 self.filehandle.seek(-error_context, 1) buff = self.filehandle.read(curr_pos) hr = \"-\" * 60 print(\"Fatal","logfile self.filehandle.seek(0) def _check_for_restart(self, logevent): if (logevent.thread == 'initandlisten' and \"db version v\"","= None self._chunks_moved_to = None self._chunk_splits = None # Track previous file position","LogEvent(line) # hint format and nextpos from previous line if self._datetime_format and self._datetime_nextpos","error_context = 300 self.filehandle.seek(-error_context, 1) buff = self.filehandle.read(curr_pos) hr = \"-\" * 60","= version.group(1) return version else: return False def _calculate_bounds(self): \"\"\"Calculate beginning and end","self.restarts: if len(versions) == 0 or v != versions[-1]: versions.append(v) return versions @property","def versions(self): \"\"\"Return all version changes.\"\"\" versions = [] for v, _ in","tokens[-1] else: # 2.6 if tokens[1].endswith(']'): pos = 2 else: pos = 6","line: logevent = LogEvent(line) match = re.search('for (?P<namespace>\\S+).*' 'numSplits: (?P<numSplits>\\d+)', line) if match:","the chunks moved from this shard (if available)\"\"\" if not self._chunks_moved_from: self._find_sharding_info() return","self._calculate_bounds() return self._datetime_format @property def has_level(self): \"\"\"Lazy evaluation of the whether the logfile","error = \"Jumbo\" self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) prev_line = line","logevent.line_str or 'mongos' in logevent.line_str): self._binary = 'mongos' else: return False version =","%s in %s:\\n\\n%s\\n%s\\n\" \"<--- (current log parsing offset) \\n%s\\n%s\\n\" % (curr_pos, self.name, hr,","so seek position is wrong line = self.filehandle.readline() if isinstance(line, bytes): line =","= None self._repl_set_members = None self._repl_set_version = None self._repl_set_protocol = None self._storage_engine =","in reversed(self.filehandle.readlines()): logevent = LogEvent(line) if logevent.datetime: self._end = logevent.datetime break # if","for\" in line: logevent = LogEvent(line) match = re.search('for (?P<namespace>\\S+).*' 'numSplits: (?P<numSplits>\\d+)', line)","us definitively that wiredTiger is being used \"\"\" if \"[initandlisten] wiredtiger_open config:\" in","input currently. \"\"\" if not self._end: self._calculate_bounds() return self._end @property def timezone(self): \"\"\"Lazy","self.filehandle.seek(0) self._bounds_calculated = True return True def _find_curr_line(self, prev=False): \"\"\" Internal helper function.","self._repl_set_members = None self._repl_set_version = None self._repl_set_protocol = None self._storage_engine = None self._datetime_format","= re.search('for (?P<namespace>\\S+).*' 'numSplits: (?P<numSplits>\\d+)', line) if match: time = logevent.datetime split_range =","hr, buff[:error_context], buff[error_context:error_context + 1], hr), file=sys.stderr) raise SystemExit(\"Cannot parse %s with requested","logfile self.filehandle.seek(0) self._bounds_calculated = True return True def _find_curr_line(self, prev=False): \"\"\" Internal helper","match.group('namespace') moved_to = match.group('movedTo') note = match.group('note') if note == \"success\": errmsg =","chunks split in this shard (if available)\"\"\" if not self._chunk_splits: self._find_sharding_info() return self._chunk_splits","is None): raise SystemExit(\"Error: <%s> does not appear to be a supported \"","Iterate over file and find any sharding related information \"\"\" self._shards = []","= match.group('numSplits') success = None time_taken = 0 error = None self._chunk_splits.append((time, split_range,","over file and find any sharding related information \"\"\" self._shards = [] self._chunks_moved_from","self._chunks_moved_to = [] self._chunk_splits = [] prev_line = \"\" for line in self.filehandle:","when SERVER-45770 TICKET is added moved_from = \"Unknown\" note = match.group('note') if note","of logfile. Returns None for stdin input currently. \"\"\" if self.from_stdin: return None","elif \"splitVector\" in line: logevent = LogEvent(line) match = re.search('splitVector: \"(?P<namespace>\\S+)\".*,' ' (?P<range>min:.*),","= logevent.datetime split_range = match.group(\"range\") namespace = match.group(\"namespace\") numSplits = 0 success =","None elif le.datetime: # gather new hint info from another logevent self._datetime_format =","states if line.endswith(state))): if \"is now in state\" in line: tokens = line.split()","chunks_moved_from(self): \"\"\"Lazily return the chunks moved from this shard (if available)\"\"\" if not","rollover and hint datetime format.\"\"\" # use readline here because next() iterator uses","= max_mark # check if start_dt is already smaller than first datetime self.filehandle.seek(0)","year rollovers self._calculate_bounds() @property def start(self): \"\"\" Lazy evaluation of start and end","is not None: ret = le.set_datetime_hint(self._datetime_format, self._datetime_nextpos, self.year_rollover) if not ret: # logevent","and ('MongoS' in logevent.line_str or 'mongos' in logevent.line_str): self._binary = 'mongos' else: return","return (instead of raising StopIteration exception) per PEP 479 return # get start","LogEvent(line) match = re.search('migration (?P<namespace>\\S+): \\[(?P<range>.*)\\)', prev_line) if match: time = logevent.datetime split_range","self.from_stdin: self.filehandle.seek(0) # return (instead of raising StopIteration exception) per PEP 479 return","until we found a truly smaller line while self.filehandle.tell() >= 2 and (le.datetime","if \"is now in state\" in line: tokens = line.split() # 2.6 if","Returns None for stdin input currently. \"\"\" if not self._end: self._calculate_bounds() return self._end","if match: self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if \"Starting new replica set","Return a LogEvent object for each line (generator). \"\"\" le = None while","in line: logevent = LogEvent(line) match = re.search('ns: \"(?P<namespace>\\S+)\".*' 'details: { (?P<range>.*\\}).*' 'to:","self._iterate_lines() return self._repl_set_members @property def repl_set_version(self): \"\"\"Return the replSet (if available).\"\"\" if not","\"\"\"Log file wrapper class. Handles open file streams or stdin.\"\"\" def __init__(self, filehandle):","match: csrs_info = (match.group('csrsName'), match.group('replSetMembers')) self._csrs = csrs_info else: match = re.search(\"for (?P<shardName>\\w+)/\"","def fast_forward(self, start_dt): \"\"\" Fast-forward file to given start_dt datetime obj using binary","(as it consumes the log line). \"\"\" if self.from_stdin: # skip lines until","else: step_size = abs(step_size) if not le: return # now walk backwards until","start_dt datetime obj using binary search. Only fast for files. Streams need to","if tokens[1].endswith(']'): pos = 4 else: pos = 5 host = tokens[pos] rs_state","self._csrs: self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if \"moveChunk.from\" in line: logevent =","while not logevent.datetime: logevent = self.next() return logevent except StopIteration: # reached end","self._repl_set_members = match.group('replSetMembers') # if (\"is now in state\" in line and #","note, errmsg) self._chunks_moved_from.append(chunk_migration) if \"moveChunk.to\" in line: logevent = LogEvent(line) match = re.search('ns:","_id: \"(?P<replSet>\\S+)\", ' 'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set = match.group('replSet') self._repl_set_members","open file streams or stdin.\"\"\" def __init__(self, filehandle): \"\"\"Provide logfile as open file","self.filehandle.seek(0) # return (instead of raising StopIteration exception) per PEP 479 return #","if not self._num_lines: self._iterate_lines() return self._repl_set_members @property def repl_set_version(self): \"\"\"Return the replSet (if","prev and self.prev_pos is not None and self.prev_pos == curr_pos: # Number of","fast_forward(self, start_dt): \"\"\" Fast-forward file to given start_dt datetime obj using binary search.","pos = 5 host = tokens[pos] rs_state = tokens[-1] state = (host, rs_state,","_check_for_restart(self, logevent): if (logevent.thread == 'initandlisten' and \"db version v\" in logevent.line_str): self._binary","@property def datetime_format(self): \"\"\"Lazy evaluation of the datetime format.\"\"\" if not self._datetime_format: self._calculate_bounds()","stdin.\"\"\" def __init__(self, filehandle): \"\"\"Provide logfile as open file stream or stdin.\"\"\" self.filehandle","as open file stream or stdin.\"\"\" self.filehandle = filehandle self.name = filehandle.name self.from_stdin","config in use\" in line: if \"configsvr: true\" in line: match = re.search('","evaluation of the binary name.\"\"\" if not self._num_lines: self._iterate_lines() return self._binary @property def","return self._num_lines @property def restarts(self): \"\"\"Lazy evaluation of all restarts.\"\"\" if not self._num_lines:","options:\" long entry contained the \"engine\" field if WiredTiger was the storage engine.","rs_state = tokens[-1] state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue if \"[rsMgr] replSet\"","datetime for line in self.filehandle: logevent = LogEvent(line) lines_checked += 1 if logevent.datetime:","mtools.util.logevent import LogEvent class LogFile(InputSource): \"\"\"Log file wrapper class. Handles open file streams","def start(self): \"\"\" Lazy evaluation of start and end of logfile. Returns None","def hostname(self): \"\"\"Lazy evaluation of the binary name.\"\"\" if not self._num_lines: self._iterate_lines() return","if tokens[-1] in self.states: rs_state = tokens[-1] else: # 2.6 if tokens[1].endswith(']'): pos","= match.group(\"namespace\") time_taken = match.group(\"time_taken\") numSplits = 0 success = True error =","])', line) if match: self._repl_set = match.group('replSet') self._repl_set_members = match.group('replSetMembers') # Replica set","self.from_stdin: # skip lines until start_dt is reached return else: # fast bisection","buff[:error_context], buff[error_context:error_context + 1], hr), file=sys.stderr) raise SystemExit(\"Cannot parse %s with requested options\"","> 100: step_size = ceil(step_size / 2.) self.filehandle.seek(step_size, 1) le = self._find_curr_line() if","= None self._shards = None self._csrs = None self._chunks_moved_from = None self._chunks_moved_to =","if self.from_stdin: return False # we should be able to find a valid","\"[initandlisten] wiredtiger_open config:\" which was present in 3.0, but would now tell us","def num_lines(self): \"\"\" Lazy evaluation of the number of lines. Returns None for","bytes): line = line.decode(\"utf-8\", \"replace\") if self.binary == \"mongos\": if \"Starting new replica","the whether the logfile has any level lines.\"\"\" if self._has_level is None: self._iterate_lines()","if self._year_rollover is None: self._calculate_bounds() return self._year_rollover @property def num_lines(self): \"\"\" Lazy evaluation","StopIteration: # reached end of file return None def _find_sharding_info(self): \"\"\" Iterate over",":: caused by :: (?P<error>\\S+): ', line) if match: time = logevent.datetime split_range","not self._num_lines: self._iterate_lines() return self._restarts @property def rs_state(self): \"\"\"Lazy evaluation of all restarts.\"\"\"","and le.datetime >= start_dt: self.filehandle.seek(0) return le = None self.filehandle.seek(0) # search for","logevent.datetime self._timezone = logevent.datetime.tzinfo self._datetime_format = logevent.datetime_format self._datetime_nextpos = logevent._datetime_nextpos break if lines_checked","le.datetime and le.datetime >= start_dt: self.filehandle.seek(0) return le = None self.filehandle.seek(0) # search","\"\"\"Lazy evaluation of all restarts.\"\"\" if not self._num_lines: self._iterate_lines() return self._restarts @property def","self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if \"Starting new replica set monitor for\"","return self.next() self.filehandle.seek(newline_pos - jump_back + 1, 1) # roll forward until we","= None self._port = None self._rs_state = None self._repl_set = None self._repl_set_members =","def _check_for_restart(self, logevent): if (logevent.thread == 'initandlisten' and \"db version v\" in logevent.line_str):","steps, note, errmsg) self._chunks_moved_from.append(chunk_migration) if \"moveChunk.to\" in line: logevent = LogEvent(line) match =","to recalc bounds for lifetime of a Logfile object return if self.from_stdin: return","the replSet (if available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set_members @property def repl_set_version(self):","'details: { (?P<range>.*\\}).*.*note: \"(?P<note>\\S+)\"', line) if match: time = logevent.datetime chunk_range = match.group('range')","elif \"Unable to auto-split chunk\" in line: logevent = LogEvent(line) match = re.search(\"chunk","in state\" in line and # next(state for state in states if line.endswith(state))):","time_taken, error)) prev_line = line # reset logfile self.filehandle.seek(0) def fast_forward(self, start_dt): \"\"\"","re.search('{ _id: \"(?P<replSet>\\S+)\", ' 'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set = match.group('replSet')","\" 'in namespace (?P<namespace>\\S+)' ' :: caused by :: (?P<error>\\S+): ', line) if","\"jumbo\" in line: logevent = LogEvent(line) match = re.search('migration (?P<namespace>\\S+): \\[(?P<range>.*)\\)', prev_line) if","start from the beginning if not self.from_stdin: self.filehandle.seek(0) # return (instead of raising","= 6 rs_state = ' '.join(tokens[pos:]) state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue","= [] self._chunks_moved_to = [] self._chunk_splits = [] prev_line = \"\" for line","= self._hostname + ':' + self._port else: host = os.path.basename(self.name) host += '","= [] self._rs_state = [] ln = 0 for ln, line in enumerate(self.filehandle):","line.decode(\"utf-8\", \"replace\") if (self._has_level is None and line[28:31].strip() in LogEvent.log_levels and line[31:39].strip() in","= (\"New replica set config in use: \") if new_config in line: match","(or previous if prev=True) line in a log file based on the current","if not self._start: self._calculate_bounds() return self._start @property def end(self): \"\"\" Lazy evaluation of","match = re.search('ns: \"(?P<namespace>\\S+)\".*' 'details: { (?P<range>.*\\}).*.*note: \"(?P<note>\\S+)\"', line) if match: time =","= LogEvent(line) # hint format and nextpos from previous line if self._datetime_format and","= [] prev_line = \"\" for line in self.filehandle: if isinstance(line, bytes): line","self._filesize @property def datetime_format(self): \"\"\"Lazy evaluation of the datetime format.\"\"\" if not self._datetime_format:","not self._num_lines: self._iterate_lines() return self._storage_engine @property def shards(self): \"\"\"Lazily return the shards (if","def chunk_splits(self): \"\"\"Lazily return the chunks split in this shard (if available)\"\"\" if","match.group('range') namespace = match.group('namespace') # TODO: alter this to find moved from shard","from this shard (if available)\"\"\" if not self._chunks_moved_from: self._find_sharding_info() return self._chunks_moved_from @property def","(?P<errmsg>\\S+):', prev_line) steps = None if match: errmsg = match.group('errmsg') else: errmsg =","start_dt: step_size = -abs(step_size) else: step_size = abs(step_size) if not le: return #","2.) self.filehandle.seek(step_size, 1) le = self._find_curr_line() if not le: break if le.datetime >=","None def _find_sharding_info(self): \"\"\" Iterate over file and find any sharding related information","split_range, namespace, numSplits, success, time_taken, error)) elif \"jumbo\" in line: logevent = LogEvent(line)","in self.states: rs_state = tokens[-1] else: # 2.6 if tokens[1].endswith(']'): pos = 2","a Logfile object return if self.from_stdin: return False # we should be able","fast bisection path max_mark = self.filesize step_size = max_mark # check if start_dt","(lines are at most 10k, # go back 30k at most to make","split in this shard (if available)\"\"\" if not self._chunk_splits: self._find_sharding_info() return self._chunk_splits def","start(self): \"\"\" Lazy evaluation of start and end of logfile. Returns None for","match.group('range') namespace = match.group('namespace') moved_to = match.group('movedTo') note = match.group('note') if note ==","in LogEvent.log_components): self._has_level = True # find version string (fast check to eliminate","characters to show before/after the log offset error_context = 300 self.filehandle.seek(-error_context, 1) buff","back 30k at most to make sure we catch one) self.filehandle.seek(0, 2) self._filesize","LogFile(InputSource): \"\"\"Log file wrapper class. Handles open file streams or stdin.\"\"\" def __init__(self,","= logevent.datetime chunk_range = match.group('range') namespace = match.group('namespace') moved_to = match.group('movedTo') note =","30000), 2) for line in reversed(self.filehandle.readlines()): logevent = LogEvent(line) if logevent.datetime: self._end =","logfile as open file stream or stdin.\"\"\" self.filehandle = filehandle self.name = filehandle.name","if not self._shards: self._find_sharding_info() return self._shards @property def csrs(self): \"\"\"Lazily return the CSRS","available)\"\"\" if not self._csrs: self._find_sharding_info() return self._csrs @property def chunks_moved_to(self): \"\"\"Lazily return the","@property def repl_set_version(self): \"\"\"Return the replSet (if available).\"\"\" if not self._num_lines: self._iterate_lines() return","object. Return a LogEvent object for each line (generator). \"\"\" le = None","steps, note, errmsg) self._chunks_moved_to.append(chunk_migration) if \"Finding the split vector for\" in line: logevent","True return True def _find_curr_line(self, prev=False): \"\"\" Internal helper function. Find the current","the log line). \"\"\" if self.from_stdin: # skip lines until start_dt is reached","(?P<replSet>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match: if self._csrs and match.group('replSet') != self._csrs[0]: self._shards.append(( match.group('replSet'),","(?P<stepTimes>\\d+)', line) else: steps = None match = re.search('errmsg: \"(?P<errmsg>.*)\"', line) if match:","numSplits, success, time_taken, error)) prev_line = line # reset logfile self.filehandle.seek(0) def fast_forward(self,","would otherwise match (as it consumes the log line). \"\"\" if self.from_stdin: #","of lines in a log file.\"\"\" return self.num_lines def _iterate_lines(self): \"\"\"Count number of","None for stdin input currently. \"\"\" if not self._start: self._calculate_bounds() return self._start @property","self._shards = [] self._chunks_moved_from = [] self._chunks_moved_to = [] self._chunk_splits = [] prev_line","None self._num_lines = None self._restarts = None self._binary = None self._timezone = None","set config in use\" in line: if \"configsvr: true\" in line: match =","Assume no need to recalc bounds for lifetime of a Logfile object return","than first datetime self.filehandle.seek(0) le = self.next() if le.datetime and le.datetime >= start_dt:","invalidate hint info self._datetime_format = None self._datetime_nextpos = None elif le.datetime: # gather","info self._datetime_format = None self._datetime_nextpos = None elif le.datetime: # gather new hint","== 0 or v != versions[-1]: versions.append(v) return versions @property def repl_set(self): \"\"\"Return","# get start date for stdin input if not self.start and self.from_stdin: if","v\" in logevent.line_str): self._binary = 'mongod' elif logevent.thread == 'mongosMain' and ('MongoS' in","hostname(self): \"\"\"Lazy evaluation of the binary name.\"\"\" if not self._num_lines: self._iterate_lines() return self._hostname","in line: tokens = line.split() # 2.6 if tokens[1].endswith(']'): pos = 4 else:","miss the first line that would otherwise match (as it consumes the log","datetime format.\"\"\" # use readline here because next() iterator uses internal readahead #","line = line.rstrip('\\n') le = LogEvent(line) # hint format and nextpos from previous","self._shards @property def csrs(self): \"\"\"Lazily return the CSRS (if available)\"\"\" if not self._csrs:","= self.next() except StopIteration as e: # end of log file, get end","(self._has_level is None and line[28:31].strip() in LogEvent.log_levels and line[31:39].strip() in LogEvent.log_components): self._has_level =","= None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \"splitVector\" in line:","(?P<namespace>\\S+): \\[(?P<range>.*)\\)', prev_line) if match: time = logevent.datetime split_range = match.group(\"range\") namespace =","else: self._storage_engine = 'mmapv1' \"\"\" For 3.2 the \"[initandlisten] options:\" no longer contains","\"\"\" Fast-forward file to given start_dt datetime obj using binary search. Only fast","self._datetime_format = None self._year_rollover = None self._shards = None self._csrs = None self._chunks_moved_from","buff.rfind('\\n') if prev: newline_pos = buff[:newline_pos].rfind('\\n') # move back to last newline char","# logevent indicates timestamp format has changed, # invalidate hint info self._datetime_format =","self._end = None self._filesize = None self._num_lines = None self._restarts = None self._binary","rs_state = tokens[-1] else: # 2.6 if tokens[1].endswith(']'): pos = 2 else: pos","self._storage_engine @property def shards(self): \"\"\"Lazily return the shards (if available)\"\"\" if not self._shards:","hint info self._datetime_format = None self._datetime_nextpos = None elif le.datetime: # gather new","match.group('replSet') self._repl_set_members = match.group('replSetMembers') # Replica set config logging in MongoDB 3.0+ new_config","char if newline_pos == -1: self.filehandle.seek(0) return self.next() self.filehandle.seek(newline_pos - jump_back + 1,","self._calculate_bounds() return self._timezone @property def filesize(self): \"\"\" Lazy evaluation of start and end","if self._csrs and match.group('replSet') != self._csrs[0]: self._shards.append(( match.group('replSet'), match.group('replSetMembers') )) elif not self._csrs:","@property def num_lines(self): \"\"\" Lazy evaluation of the number of lines. Returns None","back to last newline char if newline_pos == -1: self.filehandle.seek(0) return self.next() self.filehandle.seek(newline_pos","buffer so seek position is wrong line = self.filehandle.readline() if isinstance(line, bytes): line","logevent self._datetime_format = le.datetime_format self._datetime_nextpos = le._datetime_nextpos return le def __iter__(self): \"\"\" Iterate","= ( match.group('replSet'), match.group('replSetMembers') ) if \"Starting new replica set monitor for\" in","not self.from_stdin: self.filehandle.seek(0) # return (instead of raising StopIteration exception) per PEP 479","self._chunk_splits def next(self): \"\"\"Get next line, adjust for year rollover and hint datetime","self._shards = None self._csrs = None self._chunks_moved_from = None self._chunks_moved_to = None self._chunk_splits","StopIteration as e: # end of log file, get end date if not","in line: match = re.search(' _id: \"(?P<replSet>\\S+)\".*' 'members: (?P<replSetMembers>[^]]+ ])', line) if match:","le.datetime >= start_dt: step_size = -abs(step_size) else: step_size = abs(step_size) if not le:","if le.datetime >= start_dt: step_size = -abs(step_size) else: step_size = abs(step_size) if not","False self._start = None self._end = None self._filesize = None self._num_lines = None","find moved from shard name when SERVER-45770 TICKET is added moved_from = \"Unknown\"","streams or stdin.\"\"\" def __init__(self, filehandle): \"\"\"Provide logfile as open file stream or","buff = self.filehandle.read(jump_back) self.filehandle.seek(curr_pos, 0) if prev and self.prev_pos is not None and","steps = re.findall('(?P<steps>step \\d of \\d): (?P<stepTimes>\\d+)', line) else: steps = None match","match: self._hostname = match.group('host') self._port = match.group('port') \"\"\" For 3.0 the \"[initandlisten] options:\"","until start_dt is reached return else: # fast bisection path max_mark = self.filesize","has changed, # invalidate hint info self._datetime_format = None self._datetime_nextpos = None elif","be expensive).\"\"\" self._num_lines = 0 self._restarts = [] self._rs_state = [] ln =","return None if not self._num_lines: self._iterate_lines() return self._num_lines @property def restarts(self): \"\"\"Lazy evaluation","binary search. Only fast for files. Streams need to be forwarded manually, and","= None # make sure bounds are calculated before starting to iterate, #","(?P<stepTimes>\\d+)', line) else: match = re.search(':: caused by :: (?P<errmsg>\\S+):', prev_line) steps =","filehandle): \"\"\"Provide logfile as open file stream or stdin.\"\"\" self.filehandle = filehandle self.name","go back 30k at most to make sure we catch one) self.filehandle.seek(0, 2)","_id: \"(?P<replSet>\\S+)\".*' 'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._csrs = ( match.group('replSet'), match.group('replSetMembers')","', line) if match: self._repl_set_protocol = match.group('replSetProtocol') match = re.search('members: (?P<replSetMembers>[^]]+ ])', line)","self._restarts @property def rs_state(self): \"\"\"Lazy evaluation of all restarts.\"\"\" if not self._num_lines: self._iterate_lines()","in this shard (if available)\"\"\" if not self._chunk_splits: self._find_sharding_info() return self._chunk_splits def next(self):","readahead # buffer so seek position is wrong line = self.filehandle.readline() if isinstance(line,","match.group(\"time_taken\") numSplits = 0 success = True error = None self._chunk_splits.append((time, split_range, namespace,","path max_mark = self.filesize step_size = max_mark # check if start_dt is already","in line: match = re.search(\"for (?P<csrsName>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match: csrs_info = (match.group('csrsName'),","self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \"Unable to auto-split chunk\" in","self._num_lines: self._iterate_lines() return self._port @property def versions(self): \"\"\"Return all version changes.\"\"\" versions =","adjust for year rollover and hint datetime format.\"\"\" # use readline here because","return versions @property def repl_set(self): \"\"\"Return the replSet (if available).\"\"\" if not self._num_lines:","monitor for\" in line: if \"[mongosMain]\" in line: match = re.search(\"for (?P<csrsName>\\w+)/\" \"(?P<replSetMembers>\\S+)\",","TICKET is added moved_from = \"Unknown\" note = match.group('note') if note == \"success\":","self.filehandle.name) # get end datetime (lines are at most 10k, # go back","next(state for state in states if line.endswith(state))): if \"is now in state\" in","= None self._rs_state = None self._repl_set = None self._repl_set_members = None self._repl_set_version =","available)\"\"\" if not self._chunk_splits: self._find_sharding_info() return self._chunk_splits def next(self): \"\"\"Get next line, adjust","evaluation of start and end of logfile. Returns None for stdin input currently.","name.\"\"\" if not self._num_lines: self._iterate_lines() return self._port @property def versions(self): \"\"\"Return all version","line: tokens = line.split() if self._hostname: host = self._hostname + ':' + self._port","to find a valid log line within max_start_lines max_start_lines = 10 lines_checked =","be able to find a valid log line within max_start_lines max_start_lines = 10","= line.decode(\"utf-8\", \"replace\") if (self._has_level is None and line[28:31].strip() in LogEvent.log_levels and line[31:39].strip()","reset logfile self.filehandle.seek(0) self._bounds_calculated = True return True def _find_curr_line(self, prev=False): \"\"\" Internal","= 0 self._restarts = [] self._rs_state = [] ln = 0 for ln,","\"(?P<replSet>\\S+)\", ' 'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set = match.group('replSet') self._repl_set_members =","restarts.\"\"\" if not self._num_lines: self._iterate_lines() return self._restarts @property def rs_state(self): \"\"\"Lazy evaluation of","self._datetime_format: self._calculate_bounds() return self._datetime_format @property def has_level(self): \"\"\"Lazy evaluation of the whether the","each line (generator). \"\"\" le = None while True: try: le = self.next()","sanity check before attempting to find end date if (self._start is None): raise","self._storage_engine = 'wiredTiger' if \"command admin.$cmd command: { replSetInitiate:\" in line: match =","match.group('replSetMembers') ) if \"Starting new replica set monitor for\" in line: match =","@property def storage_engine(self): \"\"\"Return storage engine if available.\"\"\" if not self._num_lines: self._iterate_lines() return","reset logfile self.filehandle.seek(0) def fast_forward(self, start_dt): \"\"\" Fast-forward file to given start_dt datetime","monitor for\" in line: match = re.search(\"for (?P<replSet>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match: if","caused by :: (?P<error>\\S+): ', line) if match: time = logevent.datetime split_range =","of logfile.\"\"\" if not self._timezone: self._calculate_bounds() return self._timezone @property def filesize(self): \"\"\" Lazy","if match: time = logevent.datetime split_range = None namespace = match.group(\"namespace\") numSplits =","self._year_rollover = False # reset logfile self.filehandle.seek(0) self._bounds_calculated = True return True def","log file.\"\"\" return self.num_lines def _iterate_lines(self): \"\"\"Count number of lines (can be expensive).\"\"\"","'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if","if \"[initandlisten] options:\" in line: match = re.search('replSet: \"(?P<replSet>\\S+)\"', line) if match: self._repl_set","self._num_lines: self._iterate_lines() return self._binary @property def hostname(self): \"\"\"Lazy evaluation of the binary name.\"\"\"","this to find moved from shard name when SERVER-45770 TICKET is added moved_from","!= versions[-1]: versions.append(v) return versions @property def repl_set(self): \"\"\"Return the replSet (if available).\"\"\"","error = match.group(\"error\") self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \"jumbo\" in","line) if match: if self._csrs and match.group('replSet') != self._csrs[0]: self._shards.append(( match.group('replSet'), match.group('replSetMembers') ))","<gh_stars>0 #!/usr/bin/env python3 from __future__ import print_function import os import re import sys","of the whether the logfile has any level lines.\"\"\" if self._has_level is None:","@property def repl_set(self): \"\"\"Return the replSet (if available).\"\"\" if not self._num_lines: self._iterate_lines() return","self.filehandle.readline() if isinstance(line, bytes): line = line.decode('utf-8', 'replace') if line == '': raise","if \"[initandlisten] wiredtiger_open config:\" in line: self._storage_engine = 'wiredTiger' if \"command admin.$cmd command:","= match.group('movedTo') note = match.group('note') if note == \"success\": errmsg = None steps","logevent.datetime: self._start = logevent.datetime self._timezone = logevent.datetime.tzinfo self._datetime_format = logevent.datetime_format self._datetime_nextpos = logevent._datetime_nextpos","host = tokens[pos] rs_state = tokens[-1] state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue","not self._csrs: self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if \"moveChunk.from\" in line: logevent","info from another logevent self._datetime_format = le.datetime_format self._datetime_nextpos = le._datetime_nextpos return le def","obj using binary search. Only fast for files. Streams need to be forwarded","requested options\" % self.filehandle.name) else: self.prev_pos = curr_pos if isinstance(buff, bytes): buff =","\"\"\"Lazy evaluation of the binary name.\"\"\" if not self._num_lines: self._iterate_lines() return self._hostname @property","self._calculate_bounds() return self._year_rollover @property def num_lines(self): \"\"\" Lazy evaluation of the number of","iterator uses internal readahead # buffer so seek position is wrong line =","StopIteration exception) per PEP 479 return # get start date for stdin input","match.group('port') \"\"\" For 3.0 the \"[initandlisten] options:\" long entry contained the \"engine\" field","if not self._csrs: self._find_sharding_info() return self._csrs @property def chunks_moved_to(self): \"\"\"Lazily return the chunks","= None # Track previous file position for loop detection in _find_curr_line() self.prev_pos","self._restarts = [] self._rs_state = [] ln = 0 for ln, line in","protocolVersion: (?P<replSetProtocol>\\d+), ', line) if match: self._repl_set_protocol = match.group('replSetProtocol') match = re.search('members: (?P<replSetMembers>[^]]+","in a log file based on the current seek position. \"\"\" curr_pos =","self._start: self._calculate_bounds() return self._start @property def end(self): \"\"\" Lazy evaluation of start and","self._iterate_lines() return self._hostname @property def port(self): \"\"\"Lazy evaluation of the binary name.\"\"\" if","isinstance(line, bytes): line = line.decode(\"utf-8\", \"replace\") if (self._has_level is None and line[28:31].strip() in","= logevent.datetime chunk_range = match.group('range') namespace = match.group('namespace') # TODO: alter this to","self._filesize = None self._num_lines = None self._restarts = None self._binary = None self._timezone","self._chunks_moved_from.append(chunk_migration) if \"moveChunk.to\" in line: logevent = LogEvent(line) match = re.search('ns: \"(?P<namespace>\\S+)\".*' 'details:","and self.from_stdin: if le and le.datetime: self._start = le.datetime try: yield le except","last newline char if newline_pos == -1: self.filehandle.seek(0) return self.next() self.filehandle.seek(newline_pos - jump_back","self._rs_state @property def binary(self): \"\"\"Lazy evaluation of the binary name.\"\"\" if not self._num_lines:","None self._filesize = None self._num_lines = None self._restarts = None self._binary = None","if (self._has_level is None and line[28:31].strip() in LogEvent.log_levels and line[31:39].strip() in LogEvent.log_components): self._has_level","from another logevent self._datetime_format = le.datetime_format self._datetime_nextpos = le._datetime_nextpos return le def __iter__(self):","fast for files. Streams need to be forwarded manually, and it will miss","format has changed, # invalidate hint info self._datetime_format = None self._datetime_nextpos = None","appear to be a supported \" \"MongoDB log file format\" % self.filehandle.name) #","None self._shards = None self._csrs = None self._chunks_moved_from = None self._chunks_moved_to = None","chunks moved from this shard (if available)\"\"\" if not self._chunks_moved_from: self._find_sharding_info() return self._chunks_moved_from","or stdin.\"\"\" self.filehandle = filehandle self.name = filehandle.name self.from_stdin = filehandle.name == \"<stdin>\"","= False self._start = None self._end = None self._filesize = None self._num_lines =","not self._chunk_splits: self._find_sharding_info() return self._chunk_splits def next(self): \"\"\"Get next line, adjust for year","self._datetime_nextpos = None elif le.datetime: # gather new hint info from another logevent","\"\"\" if \"[initandlisten] options:\" in line: match = re.search('replSet: \"(?P<replSet>\\S+)\"', line) if match:","self._end: self._calculate_bounds() return self._end @property def timezone(self): \"\"\"Lazy evaluation of timezone of logfile.\"\"\"","= re.search(\"for (?P<replSet>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match: if self._csrs and match.group('replSet') != self._csrs[0]:","rs_state = ' '.join(tokens[pos:]) state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue self._num_lines =","Internal helper function. Find the current (or previous if prev=True) line in a","line: match = re.search(\"for (?P<csrsName>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match: csrs_info = (match.group('csrsName'), match.group('replSetMembers'))","errmsg = None steps = re.findall('(?P<steps>step \\d of \\d): (?P<stepTimes>\\d+)', line) else: match","' 'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set = match.group('replSet') self._repl_set_members = match.group('replSetMembers')","and find last newline char jump_back = min(self.filehandle.tell(), 15000) self.filehandle.seek(-jump_back, 1) buff =","class. Handles open file streams or stdin.\"\"\" def __init__(self, filehandle): \"\"\"Provide logfile as","15000) self.filehandle.seek(-jump_back, 1) buff = self.filehandle.read(jump_back) self.filehandle.seek(curr_pos, 0) if prev and self.prev_pos is","config:\" which was present in 3.0, but would now tell us definitively that","chunks_moved_to(self): \"\"\"Lazily return the chunks moved to this shard (if available)\"\"\" if not","line) else: match = re.search(':: caused by :: (?P<errmsg>\\S+):', prev_line) steps = None","stdin input currently. \"\"\" if not self._start: self._calculate_bounds() return self._start @property def end(self):","replSet (if available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set_members @property def repl_set_version(self): \"\"\"Return","== curr_pos: # Number of characters to show before/after the log offset error_context","the log offset error_context = 300 self.filehandle.seek(-error_context, 1) buff = self.filehandle.read(curr_pos) hr =","self.filehandle.seek(0) # search for lower bound while abs(step_size) > 100: step_size = ceil(step_size","tokens[pos] rs_state = tokens[-1] state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue if \"[rsMgr]","self._restarts.append((restart, logevent)) if \"starting :\" in line or \"starting:\" in line: # look","% self.filehandle.name) else: self.prev_pos = curr_pos if isinstance(buff, bytes): buff = buff.decode(\"utf-8\", \"replace\")","\"<stdin>\" self._bounds_calculated = False self._start = None self._end = None self._filesize = None","datetime format.\"\"\" if self._year_rollover is None: self._calculate_bounds() return self._year_rollover @property def num_lines(self): \"\"\"","manually, and it will miss the first line that would otherwise match (as","chunks moved to this shard (if available)\"\"\" if not self._chunks_moved_to: self._find_sharding_info() return self._chunks_moved_to","\"\"\"Lazily return the chunks moved from this shard (if available)\"\"\" if not self._chunks_moved_from:","datetime from math import ceil from mtools.util.input_source import InputSource from mtools.util.logevent import LogEvent","note = match.group('note') if note == \"success\": errmsg = None steps = re.findall('(?P<steps>step","of the binary name.\"\"\" if not self._num_lines: self._iterate_lines() return self._port @property def versions(self):","forward until we found a line with a datetime try: logevent = self.next()","if \"command admin.$cmd command: { replSetInitiate:\" in line: match = re.search('{ _id: \"(?P<replSet>\\S+)\",","self.filehandle.read(jump_back) self.filehandle.seek(curr_pos, 0) if prev and self.prev_pos is not None and self.prev_pos ==","if self.from_stdin: return None if not self._num_lines: self._iterate_lines() return self._num_lines @property def restarts(self):","binary name.\"\"\" if not self._num_lines: self._iterate_lines() return self._hostname @property def port(self): \"\"\"Lazy evaluation","None if not self._num_lines: self._iterate_lines() return self._num_lines @property def restarts(self): \"\"\"Lazy evaluation of","self.filehandle.read(curr_pos) hr = \"-\" * 60 print(\"Fatal log parsing loop detected trying to","# TODO: alter this to find moved from shard name when SERVER-45770 TICKET","within max_start_lines max_start_lines = 10 lines_checked = 0 # get start datetime for","(if available)\"\"\" if not self._shards: self._find_sharding_info() return self._shards @property def csrs(self): \"\"\"Lazily return","the current (or previous if prev=True) line in a log file based on","newline char if newline_pos == -1: self.filehandle.seek(0) return self.next() self.filehandle.seek(newline_pos - jump_back +","at most 10k, # go back 30k at most to make sure we","match: time = logevent.datetime chunk_range = match.group('range') namespace = match.group('namespace') moved_to = match.group('movedTo')","name when SERVER-45770 TICKET is added moved_from = \"Unknown\" note = match.group('note') if","now in state\" in line: tokens = line.split() # 2.6 if tokens[1].endswith(']'): pos","step_size = max_mark # check if start_dt is already smaller than first datetime","in logevent.line_str): self._binary = 'mongod' elif logevent.thread == 'mongosMain' and ('MongoS' in logevent.line_str","LogEvent(line)) self._rs_state.append(state) continue self._num_lines = ln + 1 # reset logfile self.filehandle.seek(0) def","if not self._chunks_moved_to: self._find_sharding_info() return self._chunks_moved_to @property def chunks_moved_from(self): \"\"\"Lazily return the chunks","= [] self._chunks_moved_from = [] self._chunks_moved_to = [] self._chunk_splits = [] prev_line =","= self._find_curr_line() if not le: break if le.datetime >= start_dt: step_size = -abs(step_size)","self.filehandle.seek(0) return self.next() self.filehandle.seek(newline_pos - jump_back + 1, 1) # roll forward until","of the datetime format.\"\"\" if self._year_rollover is None: self._calculate_bounds() return self._year_rollover @property def","= self.filehandle.read(jump_back) self.filehandle.seek(curr_pos, 0) if prev and self.prev_pos is not None and self.prev_pos","need to be forwarded manually, and it will miss the first line that","on the current seek position. \"\"\" curr_pos = self.filehandle.tell() # jump back 15k","not None and self.prev_pos == curr_pos: # Number of characters to show before/after","\"\"\"Return the replSet (if available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set @property def","line[28:31].strip() in LogEvent.log_levels and line[31:39].strip() in LogEvent.log_components): self._has_level = True # find version","le except StopIteration: return states = (['PRIMARY', 'SECONDARY', 'DOWN', 'STARTUP', 'STARTUP2', 'RECOVERING', 'ROLLBACK',","moved from this shard (if available)\"\"\" if not self._chunks_moved_from: self._find_sharding_info() return self._chunks_moved_from @property","= match.group(\"namespace\") numSplits = 0 success = False time_taken = 0 error =","in logevent.line_str): self._binary = 'mongos' else: return False version = re.search(r'(\\d\\.\\d\\.\\d+)', logevent.line_str) if","'mongos' else: return False version = re.search(r'(\\d\\.\\d\\.\\d+)', logevent.line_str) if version: version = version.group(1)","re.search('ns: \"(?P<namespace>\\S+)\".*' 'details: { (?P<range>.*\\}).*' 'to: \"(?P<movedTo>\\S+)\".*note: \"(?P<note>\\S+)\"', line) if match: time =","of logfile. Returns None for stdin input currently. \"\"\" if not self._end: self._calculate_bounds()","\"moveChunk.from\" in line: logevent = LogEvent(line) match = re.search('ns: \"(?P<namespace>\\S+)\".*' 'details: { (?P<range>.*\\}).*'","split_range = match.group(\"range\") namespace = match.group(\"namespace\") numSplits = 0 success = False time_taken","if \"configsvr: true\" in line: match = re.search(' _id: \"(?P<replSet>\\S+)\".*' 'members: (?P<replSetMembers>[^]]+ ])',","with requested options\" % self.filehandle.name) else: self.prev_pos = curr_pos if isinstance(buff, bytes): buff","not self._num_lines: self._iterate_lines() return self._rs_state @property def binary(self): \"\"\"Lazy evaluation of the binary","3.0+ new_config = (\"New replica set config in use: \") if new_config in","\"\"\"Get next line, adjust for year rollover and hint datetime format.\"\"\" # use","self.prev_pos == curr_pos: # Number of characters to show before/after the log offset","self._end @property def timezone(self): \"\"\"Lazy evaluation of timezone of logfile.\"\"\" if not self._timezone:","\"\"\" if self.from_stdin: return None if not self._num_lines: self._iterate_lines() return self._num_lines @property def","at most to make sure we catch one) self.filehandle.seek(0, 2) self._filesize = self.filehandle.tell()","# we should be able to find a valid log line within max_start_lines","self._start = None self._end = None self._filesize = None self._num_lines = None self._restarts","as e: # end of log file, get end date if not self.end","self._iterate_lines() return self._repl_set @property def repl_set_members(self): \"\"\"Return the replSet (if available).\"\"\" if not","@property def rs_state(self): \"\"\"Lazy evaluation of all restarts.\"\"\" if not self._num_lines: self._iterate_lines() return","if isinstance(line, bytes): line = line.decode('utf-8', 'replace') if line == '': raise StopIteration","[] ln = 0 for ln, line in enumerate(self.filehandle): if isinstance(line, bytes): line","self._year_rollover @property def num_lines(self): \"\"\" Lazy evaluation of the number of lines. Returns","479 return # get start date for stdin input if not self.start and","end of logfile.\"\"\" if self._bounds_calculated: # Assume no need to recalc bounds for","time = logevent.datetime split_range = match.group(\"range\") namespace = match.group(\"namespace\") numSplits = 0 success","= None self._repl_set_version = None self._repl_set_protocol = None self._storage_engine = None self._datetime_format =","= match.group('port') \"\"\" For 3.0 the \"[initandlisten] options:\" long entry contained the \"engine\"","is None and line[28:31].strip() in LogEvent.log_levels and line[31:39].strip() in LogEvent.log_components): self._has_level = True","wrong line = self.filehandle.readline() if isinstance(line, bytes): line = line.decode('utf-8', 'replace') if line","config in use: \") if new_config in line: match = re.search('{ _id: \"(?P<replSet>\\S+)\",","success = False time_taken = 0 error = \"Jumbo\" self._chunk_splits.append((time, split_range, namespace, numSplits,","1], hr), file=sys.stderr) raise SystemExit(\"Cannot parse %s with requested options\" % self.filehandle.name) else:","success = None time_taken = 0 error = None self._chunk_splits.append((time, split_range, namespace, numSplits,","\"\"\"Lazy evaluation of the binary name.\"\"\" if not self._num_lines: self._iterate_lines() return self._port @property","def has_level(self): \"\"\"Lazy evaluation of the whether the logfile has any level lines.\"\"\"","= re.search('{ _id: \"(?P<replSet>\\S+)\", ' 'version: (?P<replSetVersion>\\d+), ', line) if match: self._repl_set =","+ self._port else: host = os.path.basename(self.name) host += ' (self)' if tokens[-1] in","- 1) self._year_rollover = self._end else: self._year_rollover = False # reset logfile self.filehandle.seek(0)","file streams or stdin.\"\"\" def __init__(self, filehandle): \"\"\"Provide logfile as open file stream","self._calculate_bounds() return self._start @property def end(self): \"\"\" Lazy evaluation of start and end","note, errmsg) self._chunks_moved_to.append(chunk_migration) if \"Finding the split vector for\" in line: logevent =","self.filehandle.seek(0) return le = None self.filehandle.seek(0) # search for lower bound while abs(step_size)","namespace, numSplits, success, time_taken, error)) elif \"jumbo\" in line: logevent = LogEvent(line) match","from the beginning if not self.from_stdin: self.filehandle.seek(0) # return (instead of raising StopIteration","_ in self.restarts: if len(versions) == 0 or v != versions[-1]: versions.append(v) return","engine if available.\"\"\" if not self._num_lines: self._iterate_lines() return self._storage_engine @property def shards(self): \"\"\"Lazily","1) # roll forward until we found a line with a datetime try:","+ 1 # reset logfile self.filehandle.seek(0) def _check_for_restart(self, logevent): if (logevent.thread == 'initandlisten'","if match: self._repl_set = match.group('replSet') match = re.search('engine: \"(?P<engine>\\S+)\"', line) if match: self._storage_engine","buff = buff.decode(\"utf-8\", \"replace\") newline_pos = buff.rfind('\\n') if prev: newline_pos = buff[:newline_pos].rfind('\\n') #","-abs(step_size) else: step_size = abs(step_size) if not le: return # now walk backwards","\"\"\"Lazily return the chunks moved to this shard (if available)\"\"\" if not self._chunks_moved_to:","= re.search(\"for (?P<shardName>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match: shard_info = (match.group('shardName'), match.group('replSetMembers')) self._shards.append(shard_info) elif","all restarts.\"\"\" if not self._num_lines: self._iterate_lines() return self._restarts @property def rs_state(self): \"\"\"Lazy evaluation","re.search(', protocolVersion: (?P<replSetProtocol>\\d+), ', line) if match: self._repl_set_protocol = match.group('replSetProtocol') match = re.search('members:","elif \"jumbo\" in line: logevent = LogEvent(line) match = re.search('migration (?P<namespace>\\S+): \\[(?P<range>.*)\\)', prev_line)","None and line[28:31].strip() in LogEvent.log_levels and line[31:39].strip() in LogEvent.log_components): self._has_level = True #","self._hostname: host = self._hostname + ':' + self._port else: host = os.path.basename(self.name) host","def repl_set(self): \"\"\"Return the replSet (if available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set","\"MongoDB log file format\" % self.filehandle.name) # get end datetime (lines are at","= None self.filehandle.seek(0) # search for lower bound while abs(step_size) > 100: step_size","(?P<replSetVersion>\\d+), ', line) if match: self._repl_set = match.group('replSet') self._repl_set_version = match.group('replSetVersion') match =","given start_dt datetime obj using binary search. Only fast for files. Streams need","\"\"\"Lazily return the shards (if available)\"\"\" if not self._shards: self._find_sharding_info() return self._shards @property","= -abs(step_size) else: step_size = abs(step_size) if not le: return # now walk","'mmapv1' \"\"\" For 3.2 the \"[initandlisten] options:\" no longer contains the \"engine\" field","readline here because next() iterator uses internal readahead # buffer so seek position","= self._start.replace(year=self._start.year - 1) self._year_rollover = self._end else: self._year_rollover = False # reset","date if not self.end and self.from_stdin: if le and le.datetime: self._end = le.datetime","(?P<range>.*\\}).*' 'to: \"(?P<movedTo>\\S+)\".*note: \"(?P<note>\\S+)\"', line) if match: time = logevent.datetime chunk_range = match.group('range')","(?P<replSetMembers>[^]]+ ])', line) if match: self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if \"Starting","def repl_set_members(self): \"\"\"Return the replSet (if available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set_members","self.from_stdin: if le and le.datetime: self._end = le.datetime # future iterations start from","match = re.search('members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set_members = match.group('replSetMembers') # if","not self._num_lines: self._iterate_lines() return self._hostname @property def port(self): \"\"\"Lazy evaluation of the binary","return self._chunk_splits def next(self): \"\"\"Get next line, adjust for year rollover and hint","return False def _calculate_bounds(self): \"\"\"Calculate beginning and end of logfile.\"\"\" if self._bounds_calculated: #","match = re.search(':: caused by :: (?P<errmsg>\\S+):', prev_line) steps = None if match:","tokens[-1] state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue if \"[rsMgr] replSet\" in line:","else: match = re.search(':: caused by :: (?P<errmsg>\\S+):', prev_line) steps = None if","_find_curr_line() self.prev_pos = None self._has_level = None # make sure bounds are calculated","Track previous file position for loop detection in _find_curr_line() self.prev_pos = None self._has_level","line if self._datetime_format and self._datetime_nextpos is not None: ret = le.set_datetime_hint(self._datetime_format, self._datetime_nextpos, self.year_rollover)","logevent.datetime chunk_range = match.group('range') namespace = match.group('namespace') moved_to = match.group('movedTo') note = match.group('note')","for lower bound while abs(step_size) > 100: step_size = ceil(step_size / 2.) self.filehandle.seek(step_size,","__len__(self): \"\"\"Return the number of lines in a log file.\"\"\" return self.num_lines def","file position for loop detection in _find_curr_line() self.prev_pos = None self._has_level = None","error)) elif \"Unable to auto-split chunk\" in line: logevent = LogEvent(line) match =","while True: try: le = self.next() except StopIteration as e: # end of","file format\" % self.filehandle.name) # get end datetime (lines are at most 10k,","calculated before starting to iterate, # including potential year rollovers self._calculate_bounds() @property def","1) le = self._find_curr_line() if not le: break if le.datetime >= start_dt: step_size","if (self._start is None): raise SystemExit(\"Error: <%s> does not appear to be a","self.filehandle.tell() self.filehandle.seek(-min(self._filesize, 30000), 2) for line in reversed(self.filehandle.readlines()): logevent = LogEvent(line) if logevent.datetime:","if match: self._repl_set = match.group('replSet') self._repl_set_version = match.group('replSetVersion') match = re.search(', protocolVersion: (?P<replSetProtocol>\\d+),","evaluation of the binary name.\"\"\" if not self._num_lines: self._iterate_lines() return self._port @property def","not self._num_lines: self._iterate_lines() return self._repl_set_version @property def repl_set_protocol(self): \"\"\"Return the replSet protocolVersion (if",":: (?P<errmsg>\\S+):', prev_line) steps = None if match: errmsg = match.group('errmsg') else: errmsg","lines_checked = 0 # get start datetime for line in self.filehandle: logevent =","ln = 0 for ln, line in enumerate(self.filehandle): if isinstance(line, bytes): line =","match.group('engine') else: self._storage_engine = 'mmapv1' \"\"\" For 3.2 the \"[initandlisten] options:\" no longer","and \"db version v\" in logevent.line_str): self._binary = 'mongod' elif logevent.thread == 'mongosMain'","StopIteration: return states = (['PRIMARY', 'SECONDARY', 'DOWN', 'STARTUP', 'STARTUP2', 'RECOVERING', 'ROLLBACK', 'ARBITER', 'UNKNOWN'])","None self._repl_set_protocol = None self._storage_engine = None self._datetime_format = None self._year_rollover = None","Lazy evaluation of start and end of logfile. Returns None for stdin input","self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if \"moveChunk.from\" in line: logevent = LogEvent(line)","errmsg = match.group('errmsg') chunk_migration = (time, chunk_range, moved_from, namespace, steps, note, errmsg) self._chunks_moved_to.append(chunk_migration)","re import sys from datetime import datetime from math import ceil from mtools.util.input_source","'mongosMain' and ('MongoS' in logevent.line_str or 'mongos' in logevent.line_str): self._binary = 'mongos' else:","all version changes.\"\"\" versions = [] for v, _ in self.restarts: if len(versions)","offset error_context = 300 self.filehandle.seek(-error_context, 1) buff = self.filehandle.read(curr_pos) hr = \"-\" *","# hint format and nextpos from previous line if self._datetime_format and self._datetime_nextpos is","current seek position. \"\"\" curr_pos = self.filehandle.tell() # jump back 15k characters (at","log line within max_start_lines max_start_lines = 10 lines_checked = 0 # get start","self.name = filehandle.name self.from_stdin = filehandle.name == \"<stdin>\" self._bounds_calculated = False self._start =","\"log line near offset %s in %s:\\n\\n%s\\n%s\\n\" \"<--- (current log parsing offset) \\n%s\\n%s\\n\"","= match.group(\"time_taken\") numSplits = 0 success = True error = None self._chunk_splits.append((time, split_range,","== -1: self.filehandle.seek(0) return self.next() self.filehandle.seek(newline_pos - jump_back + 1, 1) # roll","for stdin input if not self.start and self.from_stdin: if le and le.datetime: self._start","= True # find version string (fast check to eliminate most lines) if","were only two engines, MMAPv1 and WiredTiger \"\"\" if \"[initandlisten] options:\" in line:","= self.next() return logevent except StopIteration: # reached end of file return None","= True return True def _find_curr_line(self, prev=False): \"\"\" Internal helper function. Find the","previous \" \"log line near offset %s in %s:\\n\\n%s\\n%s\\n\" \"<--- (current log parsing","until we found a line with a datetime try: logevent = self.next() while","step_size = -abs(step_size) else: step_size = abs(step_size) if not le: return # now","':' + self._port else: host = os.path.basename(self.name) host += ' (self)' if tokens[-1]","= LogEvent(line) if logevent.datetime: self._end = logevent.datetime break # if there was a","sure bounds are calculated before starting to iterate, # including potential year rollovers","config:\" in line: self._storage_engine = 'wiredTiger' if \"command admin.$cmd command: { replSetInitiate:\" in","line: logevent = LogEvent(line) match = re.search(\"chunk \\[(?P<range>.*)\\) \" 'in namespace (?P<namespace>\\S+)' '","if match: shard_info = (match.group('shardName'), match.group('replSetMembers')) self._shards.append(shard_info) elif self.binary == \"mongod\": logevent =","in use: \") if new_config in line: match = re.search('{ _id: \"(?P<replSet>\\S+)\", '","seek position. \"\"\" curr_pos = self.filehandle.tell() # jump back 15k characters (at most)","None self._rs_state = None self._repl_set = None self._repl_set_members = None self._repl_set_version = None","wiredtiger_open config:\" which was present in 3.0, but would now tell us definitively","self._repl_set_protocol @property def storage_engine(self): \"\"\"Return storage engine if available.\"\"\" if not self._num_lines: self._iterate_lines()","self._num_lines: self._iterate_lines() return self._repl_set @property def repl_set_members(self): \"\"\"Return the replSet (if available).\"\"\" if","now walk backwards until we found a truly smaller line while self.filehandle.tell() >=","= match.group('replSet') match = re.search('engine: \"(?P<engine>\\S+)\"', line) if match: self._storage_engine = match.group('engine') else:","show before/after the log offset error_context = 300 self.filehandle.seek(-error_context, 1) buff = self.filehandle.read(curr_pos)","line) if match: self._storage_engine = match.group('engine') else: self._storage_engine = 'mmapv1' \"\"\" For 3.2","of timezone of logfile.\"\"\" if not self._timezone: self._calculate_bounds() return self._timezone @property def filesize(self):","a log file.\"\"\" return self.num_lines def _iterate_lines(self): \"\"\"Count number of lines (can be","not self._chunks_moved_from: self._find_sharding_info() return self._chunks_moved_from @property def chunk_splits(self): \"\"\"Lazily return the chunks split","the beginning if not self.from_stdin: self.filehandle.seek(0) # return (instead of raising StopIteration exception)","if self.binary == \"mongos\": if \"Starting new replica set monitor for\" in line:","not le: return # now walk backwards until we found a truly smaller","if line.endswith(state))): if \"is now in state\" in line: tokens = line.split() #","except StopIteration: # reached end of file return None def _find_sharding_info(self): \"\"\" Iterate","split_range = match.group(\"range\") namespace = match.group(\"namespace\") time_taken = match.group(\"time_taken\") numSplits = 0 success","success, time_taken, error)) elif \"jumbo\" in line: logevent = LogEvent(line) match = re.search('migration","and end of logfile.\"\"\" if self._bounds_calculated: # Assume no need to recalc bounds","error = None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \"splitVector\" in","the \"engine\" field So now we have to look for the \"[initandlisten] wiredtiger_open","None self.filehandle.seek(0) # search for lower bound while abs(step_size) > 100: step_size =","self._timezone = logevent.datetime.tzinfo self._datetime_format = logevent.datetime_format self._datetime_nextpos = logevent._datetime_nextpos break if lines_checked >","class LogFile(InputSource): \"\"\"Log file wrapper class. Handles open file streams or stdin.\"\"\" def","if \"Starting new replica set monitor for\" in line: if \"[mongosMain]\" in line:","match: time = logevent.datetime chunk_range = match.group('range') namespace = match.group('namespace') # TODO: alter","self._iterate_lines() return self._rs_state @property def binary(self): \"\"\"Lazy evaluation of the binary name.\"\"\" if","= LogEvent(line) match = re.search('migration (?P<namespace>\\S+): \\[(?P<range>.*)\\)', prev_line) if match: time = logevent.datetime","ln + 1 # reset logfile self.filehandle.seek(0) def _check_for_restart(self, logevent): if (logevent.thread ==","else: self._year_rollover = False # reset logfile self.filehandle.seek(0) self._bounds_calculated = True return True","from datetime import datetime from math import ceil from mtools.util.input_source import InputSource from","would now tell us definitively that wiredTiger is being used \"\"\" if \"[initandlisten]","= buff.decode(\"utf-8\", \"replace\") newline_pos = buff.rfind('\\n') if prev: newline_pos = buff[:newline_pos].rfind('\\n') # move","if match: errmsg = match.group('errmsg') chunk_migration = (time, chunk_range, moved_from, namespace, steps, note,","prev=True) line in a log file based on the current seek position. \"\"\"","level lines.\"\"\" if self._has_level is None: self._iterate_lines() return self._has_level @property def year_rollover(self): \"\"\"Lazy","walk backwards until we found a truly smaller line while self.filehandle.tell() >= 2","step_size = abs(step_size) if not le: return # now walk backwards until we","0 success = False time_taken = 0 error = \"Jumbo\" self._chunk_splits.append((time, split_range, namespace,","return self._has_level @property def year_rollover(self): \"\"\"Lazy evaluation of the datetime format.\"\"\" if self._year_rollover","return self._rs_state @property def binary(self): \"\"\"Lazy evaluation of the binary name.\"\"\" if not","chunk_range = match.group('range') namespace = match.group('namespace') moved_to = match.group('movedTo') note = match.group('note') if","None self._timezone = None self._hostname = None self._port = None self._rs_state = None","stdin.\"\"\" self.filehandle = filehandle self.name = filehandle.name self.from_stdin = filehandle.name == \"<stdin>\" self._bounds_calculated","Handles open file streams or stdin.\"\"\" def __init__(self, filehandle): \"\"\"Provide logfile as open","\"[initandlisten] options:\" in line: match = re.search('replSet: \"(?P<replSet>\\S+)\"', line) if match: self._repl_set =","of file return None def _find_sharding_info(self): \"\"\" Iterate over file and find any","== 'mongosMain' and ('MongoS' in logevent.line_str or 'mongos' in logevent.line_str): self._binary = 'mongos'","self.from_stdin: return None if not self._filesize: self._calculate_bounds() return self._filesize @property def datetime_format(self): \"\"\"Lazy","'replace') if line == '': raise StopIteration line = line.rstrip('\\n') le = LogEvent(line)","offset %s in %s:\\n\\n%s\\n%s\\n\" \"<--- (current log parsing offset) \\n%s\\n%s\\n\" % (curr_pos, self.name,","= \"Unknown\" chunk_migration = (time, chunk_range, moved_to, namespace, steps, note, errmsg) self._chunks_moved_from.append(chunk_migration) if","log file based on the current seek position. \"\"\" curr_pos = self.filehandle.tell() #","if not le: break if le.datetime >= start_dt: step_size = -abs(step_size) else: step_size","self._iterate_lines() return self._port @property def versions(self): \"\"\"Return all version changes.\"\"\" versions = []","if there was a roll-over, subtract 1 year from start time if self._end","None namespace = match.group(\"namespace\") numSplits = match.group('numSplits') success = None time_taken = 0","a datetime try: logevent = self.next() while not logevent.datetime: logevent = self.next() return","0 success = False time_taken = 0 error = match.group(\"error\") self._chunk_splits.append((time, split_range, namespace,","self._check_for_restart(logevent) if restart: self._restarts.append((restart, logevent)) if \"starting :\" in line or \"starting:\" in","' 'version: (?P<replSetVersion>\\d+), ', line) if match: self._repl_set = match.group('replSet') self._repl_set_version = match.group('replSetVersion')","(?P<range>.*\\}).*.*note: \"(?P<note>\\S+)\"', line) if match: time = logevent.datetime chunk_range = match.group('range') namespace =","self._csrs and match.group('replSet') != self._csrs[0]: self._shards.append(( match.group('replSet'), match.group('replSetMembers') )) elif not self._csrs: self._csrs","0) if prev and self.prev_pos is not None and self.prev_pos == curr_pos: #","try: logevent = self.next() while not logevent.datetime: logevent = self.next() return logevent except","if match: time = logevent.datetime split_range = match.group(\"range\") namespace = match.group(\"namespace\") time_taken =","== \"success\": errmsg = None steps = re.findall('(?P<steps>step \\d of \\d): (?P<stepTimes>\\d+)', line)","to look for the \"[initandlisten] wiredtiger_open config:\" which was present in 3.0, but","self._repl_set = match.group('replSet') match = re.search('engine: \"(?P<engine>\\S+)\"', line) if match: self._storage_engine = match.group('engine')","find last newline char jump_back = min(self.filehandle.tell(), 15000) self.filehandle.seek(-jump_back, 1) buff = self.filehandle.read(jump_back)","le = self._find_curr_line() if not le: break if le.datetime >= start_dt: step_size =","= logevent.datetime split_range = None namespace = match.group(\"namespace\") numSplits = match.group('numSplits') success =","logevent.datetime break # if there was a roll-over, subtract 1 year from start","for state in states if line.endswith(state))): if \"is now in state\" in line:","= filehandle.name == \"<stdin>\" self._bounds_calculated = False self._start = None self._end = None","tokens[-1] in self.states: rs_state = tokens[-1] else: # 2.6 if tokens[1].endswith(']'): pos =","host += ' (self)' if tokens[-1] in self.states: rs_state = tokens[-1] else: #","in state\" in line: tokens = line.split() # 2.6 if tokens[1].endswith(']'): pos =","self._has_level @property def year_rollover(self): \"\"\"Lazy evaluation of the datetime format.\"\"\" if self._year_rollover is","\" \"log line near offset %s in %s:\\n\\n%s\\n%s\\n\" \"<--- (current log parsing offset)","for v, _ in self.restarts: if len(versions) == 0 or v != versions[-1]:","self._chunks_moved_from @property def chunk_splits(self): \"\"\"Lazily return the chunks split in this shard (if","end of logfile. Returns None for stdin input currently. \"\"\" if not self._start:","e: # end of log file, get end date if not self.end and","self.next() return logevent except StopIteration: # reached end of file return None def","position is wrong line = self.filehandle.readline() if isinstance(line, bytes): line = line.decode('utf-8', 'replace')","it consumes the log line). \"\"\" if self.from_stdin: # skip lines until start_dt","shard name when SERVER-45770 TICKET is added moved_from = \"Unknown\" note = match.group('note')","= line.rstrip('\\n') le = LogEvent(line) # hint format and nextpos from previous line","find version string (fast check to eliminate most lines) if \"version\" in line[:100]:","if logevent.datetime: self._start = logevent.datetime self._timezone = logevent.datetime.tzinfo self._datetime_format = logevent.datetime_format self._datetime_nextpos =","@property def restarts(self): \"\"\"Lazy evaluation of all restarts.\"\"\" if not self._num_lines: self._iterate_lines() return","return # now walk backwards until we found a truly smaller line while","= ( match.group('replSet'), match.group('replSetMembers') ) if \"moveChunk.from\" in line: logevent = LogEvent(line) match","whether the logfile has any level lines.\"\"\" if self._has_level is None: self._iterate_lines() return","we catch one) self.filehandle.seek(0, 2) self._filesize = self.filehandle.tell() self.filehandle.seek(-min(self._filesize, 30000), 2) for line","\"\"\" if not self._start: self._calculate_bounds() return self._start @property def end(self): \"\"\" Lazy evaluation","\"engine\" field So now we have to look for the \"[initandlisten] wiredtiger_open config:\"","self._has_level = None # make sure bounds are calculated before starting to iterate,","if le and le.datetime: self._start = le.datetime try: yield le except StopIteration: return","= re.search('splitVector: \"(?P<namespace>\\S+)\".*,' ' (?P<range>min:.*), max.*op_msg (?P<time_taken>\\d+)', line) if match: time = logevent.datetime","use\" in line: if \"configsvr: true\" in line: match = re.search(' _id: \"(?P<replSet>\\S+)\".*'","if match: time = logevent.datetime chunk_range = match.group('range') namespace = match.group('namespace') # TODO:","available)\"\"\" if not self._chunks_moved_from: self._find_sharding_info() return self._chunks_moved_from @property def chunk_splits(self): \"\"\"Lazily return the","# search for lower bound while abs(step_size) > 100: step_size = ceil(step_size /","LogEvent class LogFile(InputSource): \"\"\"Log file wrapper class. Handles open file streams or stdin.\"\"\"","if WiredTiger was the storage engine. There were only two engines, MMAPv1 and","name.\"\"\" if not self._num_lines: self._iterate_lines() return self._binary @property def hostname(self): \"\"\"Lazy evaluation of","first datetime self.filehandle.seek(0) le = self.next() if le.datetime and le.datetime >= start_dt: self.filehandle.seek(0)","split_range = None namespace = match.group(\"namespace\") numSplits = match.group('numSplits') success = None time_taken","self._start @property def end(self): \"\"\" Lazy evaluation of start and end of logfile.","WiredTiger \"\"\" if \"[initandlisten] options:\" in line: match = re.search('replSet: \"(?P<replSet>\\S+)\"', line) if","= curr_pos if isinstance(buff, bytes): buff = buff.decode(\"utf-8\", \"replace\") newline_pos = buff.rfind('\\n') if","self.from_stdin = filehandle.name == \"<stdin>\" self._bounds_calculated = False self._start = None self._end =","= 0 error = \"Jumbo\" self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) prev_line","that would otherwise match (as it consumes the log line). \"\"\" if self.from_stdin:","before/after the log offset error_context = 300 self.filehandle.seek(-error_context, 1) buff = self.filehandle.read(curr_pos) hr","a truly smaller line while self.filehandle.tell() >= 2 and (le.datetime is None or","self.filehandle.name) else: self.prev_pos = curr_pos if isinstance(buff, bytes): buff = buff.decode(\"utf-8\", \"replace\") newline_pos","= None steps = re.findall('(?P<steps>step \\d of \\d): (?P<stepTimes>\\d+)', line) else: steps =","break if lines_checked > max_start_lines: break # sanity check before attempting to find","(['PRIMARY', 'SECONDARY', 'DOWN', 'STARTUP', 'STARTUP2', 'RECOVERING', 'ROLLBACK', 'ARBITER', 'UNKNOWN']) def __len__(self): \"\"\"Return the","in _find_curr_line() self.prev_pos = None self._has_level = None # make sure bounds are","bytes): line = line.decode('utf-8', 'replace') if line == '': raise StopIteration line =","line or \"starting:\" in line: # look for hostname, port match = re.search('port=(?P<port>\\d+).*host=(?P<host>\\S+)',","'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set = match.group('replSet') self._repl_set_members = match.group('replSetMembers') #","the binary name.\"\"\" if not self._num_lines: self._iterate_lines() return self._port @property def versions(self): \"\"\"Return","\"Unknown\" note = match.group('note') if note == \"success\": errmsg = None steps =","= None self._num_lines = None self._restarts = None self._binary = None self._timezone =","in line: logevent = LogEvent(line) match = re.search('migration (?P<namespace>\\S+): \\[(?P<range>.*)\\)', prev_line) if match:","None time_taken = 0 error = None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken,","(if available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set @property def repl_set_members(self): \"\"\"Return the","line) if match: self._repl_set = match.group('replSet') self._repl_set_version = match.group('replSetVersion') match = re.search(', protocolVersion:","parsing offset) \\n%s\\n%s\\n\" % (curr_pos, self.name, hr, buff[:error_context], buff[error_context:error_context + 1], hr), file=sys.stderr)","ret: # logevent indicates timestamp format has changed, # invalidate hint info self._datetime_format","set monitor for\" in line: match = re.search(\"for (?P<replSet>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match:","moved_to, namespace, steps, note, errmsg) self._chunks_moved_from.append(chunk_migration) if \"moveChunk.to\" in line: logevent = LogEvent(line)","line while self.filehandle.tell() >= 2 and (le.datetime is None or le.datetime >= start_dt):","# invalidate hint info self._datetime_format = None self._datetime_nextpos = None elif le.datetime: #","10 lines_checked = 0 # get start datetime for line in self.filehandle: logevent","\"Unknown\" chunk_migration = (time, chunk_range, moved_to, namespace, steps, note, errmsg) self._chunks_moved_from.append(chunk_migration) if \"moveChunk.to\"","LogEvent(line) lines_checked += 1 if logevent.datetime: self._start = logevent.datetime self._timezone = logevent.datetime.tzinfo self._datetime_format","version changes.\"\"\" versions = [] for v, _ in self.restarts: if len(versions) ==","for year rollover and hint datetime format.\"\"\" # use readline here because next()","= re.search('migration (?P<namespace>\\S+): \\[(?P<range>.*)\\)', prev_line) if match: time = logevent.datetime split_range = match.group(\"range\")","#!/usr/bin/env python3 from __future__ import print_function import os import re import sys from","host = os.path.basename(self.name) host += ' (self)' if tokens[-1] in self.states: rs_state =","self._repl_set_version = match.group('replSetVersion') match = re.search(', protocolVersion: (?P<replSetProtocol>\\d+), ', line) if match: self._repl_set_protocol","' '.join(tokens[pos:]) state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue self._num_lines = ln +","lines in a log file.\"\"\" return self.num_lines def _iterate_lines(self): \"\"\"Count number of lines","return self._restarts @property def rs_state(self): \"\"\"Lazy evaluation of all restarts.\"\"\" if not self._num_lines:","self._year_rollover is None: self._calculate_bounds() return self._year_rollover @property def num_lines(self): \"\"\" Lazy evaluation of","using binary search. Only fast for files. Streams need to be forwarded manually,","not appear to be a supported \" \"MongoDB log file format\" % self.filehandle.name)","found a line with a datetime try: logevent = self.next() while not logevent.datetime:","self._storage_engine = match.group('engine') else: self._storage_engine = 'mmapv1' \"\"\" For 3.2 the \"[initandlisten] options:\"","self._datetime_nextpos = logevent._datetime_nextpos break if lines_checked > max_start_lines: break # sanity check before","forwarded manually, and it will miss the first line that would otherwise match","the \"[initandlisten] wiredtiger_open config:\" which was present in 3.0, but would now tell","import print_function import os import re import sys from datetime import datetime from","line, adjust for year rollover and hint datetime format.\"\"\" # use readline here","= \"\" for line in self.filehandle: if isinstance(line, bytes): line = line.decode(\"utf-8\", \"replace\")","the \"engine\" field if WiredTiger was the storage engine. There were only two","tokens[1].endswith(']'): pos = 2 else: pos = 6 rs_state = ' '.join(tokens[pos:]) state","Find the current (or previous if prev=True) line in a log file based","curr_pos: # Number of characters to show before/after the log offset error_context =","# Track previous file position for loop detection in _find_curr_line() self.prev_pos = None","check if start_dt is already smaller than first datetime self.filehandle.seek(0) le = self.next()","the binary name.\"\"\" if not self._num_lines: self._iterate_lines() return self._hostname @property def port(self): \"\"\"Lazy","except StopIteration as e: # end of log file, get end date if","return version else: return False def _calculate_bounds(self): \"\"\"Calculate beginning and end of logfile.\"\"\"","self._datetime_format and self._datetime_nextpos is not None: ret = le.set_datetime_hint(self._datetime_format, self._datetime_nextpos, self.year_rollover) if not","mtools.util.input_source import InputSource from mtools.util.logevent import LogEvent class LogFile(InputSource): \"\"\"Log file wrapper class.","else: match = re.search(\"for (?P<shardName>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match: shard_info = (match.group('shardName'), match.group('replSetMembers'))","was the storage engine. There were only two engines, MMAPv1 and WiredTiger \"\"\"","= le.datetime # future iterations start from the beginning if not self.from_stdin: self.filehandle.seek(0)","for line in reversed(self.filehandle.readlines()): logevent = LogEvent(line) if logevent.datetime: self._end = logevent.datetime break","= re.search(':: caused by :: (?P<errmsg>\\S+):', prev_line) steps = None if match: errmsg","max_start_lines: break # sanity check before attempting to find end date if (self._start","a valid log line within max_start_lines max_start_lines = 10 lines_checked = 0 #","line in reversed(self.filehandle.readlines()): logevent = LogEvent(line) if logevent.datetime: self._end = logevent.datetime break #","changes.\"\"\" versions = [] for v, _ in self.restarts: if len(versions) == 0","self._end < self._start: self._start = self._start.replace(year=self._start.year - 1) self._year_rollover = self._end else: self._year_rollover","= None namespace = match.group(\"namespace\") numSplits = match.group('numSplits') success = None time_taken =","subtract 1 year from start time if self._end < self._start: self._start = self._start.replace(year=self._start.year","potential year rollovers self._calculate_bounds() @property def start(self): \"\"\" Lazy evaluation of start and","replSet (if available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set_version @property def repl_set_protocol(self): \"\"\"Return","skip lines until start_dt is reached return else: # fast bisection path max_mark","return self._chunks_moved_from @property def chunk_splits(self): \"\"\"Lazily return the chunks split in this shard","log parsing loop detected trying to find previous \" \"log line near offset","if isinstance(line, bytes): line = line.decode(\"utf-8\", \"replace\") if (self._has_level is None and line[28:31].strip()","Lazy evaluation of the number of lines. Returns None for stdin input currently.","in line: match = re.search(\"for (?P<replSet>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match: if self._csrs and","in MongoDB 3.0+ new_config = (\"New replica set config in use: \") if","line) if match: self._repl_set = match.group('replSet') self._repl_set_members = match.group('replSetMembers') # Replica set config","the replSet (if available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set_version @property def repl_set_protocol(self):","= re.search(\"chunk \\[(?P<range>.*)\\) \" 'in namespace (?P<namespace>\\S+)' ' :: caused by :: (?P<error>\\S+):","try: le = self.next() except StopIteration as e: # end of log file,","sys from datetime import datetime from math import ceil from mtools.util.input_source import InputSource","the CSRS (if available)\"\"\" if not self._csrs: self._find_sharding_info() return self._csrs @property def chunks_moved_to(self):","\"New replica set config in use\" in line: if \"configsvr: true\" in line:","def repl_set_version(self): \"\"\"Return the replSet (if available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set_version","# gather new hint info from another logevent self._datetime_format = le.datetime_format self._datetime_nextpos =","self._find_sharding_info() return self._csrs @property def chunks_moved_to(self): \"\"\"Lazily return the chunks moved to this","exception) per PEP 479 return # get start date for stdin input if","or \"starting:\" in line: # look for hostname, port match = re.search('port=(?P<port>\\d+).*host=(?P<host>\\S+)', line)","self._chunks_moved_from = None self._chunks_moved_to = None self._chunk_splits = None # Track previous file","start_dt): \"\"\" Fast-forward file to given start_dt datetime obj using binary search. Only","Streams need to be forwarded manually, and it will miss the first line","\"-\" * 60 print(\"Fatal log parsing loop detected trying to find previous \"","def timezone(self): \"\"\"Lazy evaluation of timezone of logfile.\"\"\" if not self._timezone: self._calculate_bounds() return","\"Jumbo\" self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) prev_line = line # reset","\"\"\"Count number of lines (can be expensive).\"\"\" self._num_lines = 0 self._restarts = []","bytes): buff = buff.decode(\"utf-8\", \"replace\") newline_pos = buff.rfind('\\n') if prev: newline_pos = buff[:newline_pos].rfind('\\n')","logfile.\"\"\" if self._bounds_calculated: # Assume no need to recalc bounds for lifetime of","'UNKNOWN']) def __len__(self): \"\"\"Return the number of lines in a log file.\"\"\" return","in line: match = re.search('replSet: \"(?P<replSet>\\S+)\"', line) if match: self._repl_set = match.group('replSet') match","loop detected trying to find previous \" \"log line near offset %s in","if not self._num_lines: self._iterate_lines() return self._binary @property def hostname(self): \"\"\"Lazy evaluation of the","in line: if \"[mongosMain]\" in line: match = re.search(\"for (?P<csrsName>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if","10k, # go back 30k at most to make sure we catch one)","import ceil from mtools.util.input_source import InputSource from mtools.util.logevent import LogEvent class LogFile(InputSource): \"\"\"Log","start datetime for line in self.filehandle: logevent = LogEvent(line) lines_checked += 1 if","and end of logfile. Returns None for stdin input currently. \"\"\" if not","line) if match: self._hostname = match.group('host') self._port = match.group('port') \"\"\" For 3.0 the","(self)' if tokens[-1] in self.states: rs_state = tokens[-1] else: # 2.6 if tokens[1].endswith(']'):","return self._chunks_moved_to @property def chunks_moved_from(self): \"\"\"Lazily return the chunks moved from this shard","evaluation of timezone of logfile.\"\"\" if not self._timezone: self._calculate_bounds() return self._timezone @property def","self._num_lines: self._iterate_lines() return self._storage_engine @property def shards(self): \"\"\"Lazily return the shards (if available)\"\"\"","end datetime (lines are at most 10k, # go back 30k at most","(generator). \"\"\" le = None while True: try: le = self.next() except StopIteration","{ (?P<range>.*\\}).*' 'to: \"(?P<movedTo>\\S+)\".*note: \"(?P<note>\\S+)\"', line) if match: time = logevent.datetime chunk_range =","\"Unable to auto-split chunk\" in line: logevent = LogEvent(line) match = re.search(\"chunk \\[(?P<range>.*)\\)","\"\"\" if self.from_stdin: # skip lines until start_dt is reached return else: #","success = True error = None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error))","self._binary = None self._timezone = None self._hostname = None self._port = None self._rs_state","None while True: try: le = self.next() except StopIteration as e: # end","\"\"\" For 3.2 the \"[initandlisten] options:\" no longer contains the \"engine\" field So","of the datetime format.\"\"\" if not self._datetime_format: self._calculate_bounds() return self._datetime_format @property def has_level(self):","self._csrs = None self._chunks_moved_from = None self._chunks_moved_to = None self._chunk_splits = None #","= (time, chunk_range, moved_from, namespace, steps, note, errmsg) self._chunks_moved_to.append(chunk_migration) if \"Finding the split","@property def filesize(self): \"\"\" Lazy evaluation of start and end of logfile. Returns","match: self._repl_set = match.group('replSet') match = re.search('engine: \"(?P<engine>\\S+)\"', line) if match: self._storage_engine =","= re.findall('(?P<steps>step \\d of \\d): (?P<stepTimes>\\d+)', line) else: steps = None match =","\"\"\"Lazy evaluation of the datetime format.\"\"\" if not self._datetime_format: self._calculate_bounds() return self._datetime_format @property","None and self.prev_pos == curr_pos: # Number of characters to show before/after the","is None: self._iterate_lines() return self._has_level @property def year_rollover(self): \"\"\"Lazy evaluation of the datetime","(if available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set_version @property def repl_set_protocol(self): \"\"\"Return the","(instead of raising StopIteration exception) per PEP 479 return # get start date","@property def hostname(self): \"\"\"Lazy evaluation of the binary name.\"\"\" if not self._num_lines: self._iterate_lines()","\"\"\" if \"[initandlisten] wiredtiger_open config:\" in line: self._storage_engine = 'wiredTiger' if \"command admin.$cmd","self.filehandle.seek(0) def fast_forward(self, start_dt): \"\"\" Fast-forward file to given start_dt datetime obj using","port match = re.search('port=(?P<port>\\d+).*host=(?P<host>\\S+)', line) if match: self._hostname = match.group('host') self._port = match.group('port')","(time, chunk_range, moved_to, namespace, steps, note, errmsg) self._chunks_moved_from.append(chunk_migration) if \"moveChunk.to\" in line: logevent","self._repl_set_members @property def repl_set_version(self): \"\"\"Return the replSet (if available).\"\"\" if not self._num_lines: self._iterate_lines()","self.filehandle.seek(step_size, 1) le = self._find_curr_line() if not le: break if le.datetime >= start_dt:","# return (instead of raising StopIteration exception) per PEP 479 return # get","entry contained the \"engine\" field if WiredTiger was the storage engine. There were","is reached return else: # fast bisection path max_mark = self.filesize step_size =","csrs_info = (match.group('csrsName'), match.group('replSetMembers')) self._csrs = csrs_info else: match = re.search(\"for (?P<shardName>\\w+)/\" \"(?P<replSetMembers>\\S+)\",","-1: self.filehandle.seek(0) return self.next() self.filehandle.seek(newline_pos - jump_back + 1, 1) # roll forward","self._chunk_splits: self._find_sharding_info() return self._chunk_splits def next(self): \"\"\"Get next line, adjust for year rollover","match.group('errmsg') else: errmsg = \"Unknown\" chunk_migration = (time, chunk_range, moved_to, namespace, steps, note,","@property def start(self): \"\"\" Lazy evaluation of start and end of logfile. Returns","match = re.search('errmsg: \"(?P<errmsg>.*)\"', line) if match: errmsg = match.group('errmsg') chunk_migration = (time,","True: try: le = self.next() except StopIteration as e: # end of log","for stdin input currently. \"\"\" if self.from_stdin: return None if not self._num_lines: self._iterate_lines()","le.datetime: self._end = le.datetime # future iterations start from the beginning if not","if match: csrs_info = (match.group('csrsName'), match.group('replSetMembers')) self._csrs = csrs_info else: match = re.search(\"for","(?P<numSplits>\\d+)', line) if match: time = logevent.datetime split_range = None namespace = match.group(\"namespace\")","options:\" in line: match = re.search('replSet: \"(?P<replSet>\\S+)\"', line) if match: self._repl_set = match.group('replSet')","= 'wiredTiger' if \"command admin.$cmd command: { replSetInitiate:\" in line: match = re.search('{","= self.filehandle.read(curr_pos) hr = \"-\" * 60 print(\"Fatal log parsing loop detected trying","position for loop detection in _find_curr_line() self.prev_pos = None self._has_level = None #","num_lines(self): \"\"\" Lazy evaluation of the number of lines. Returns None for stdin","binary name.\"\"\" if not self._num_lines: self._iterate_lines() return self._binary @property def hostname(self): \"\"\"Lazy evaluation","self._num_lines: self._iterate_lines() return self._repl_set_members @property def repl_set_version(self): \"\"\"Return the replSet (if available).\"\"\" if","self._csrs: self._find_sharding_info() return self._csrs @property def chunks_moved_to(self): \"\"\"Lazily return the chunks moved to","raise StopIteration line = line.rstrip('\\n') le = LogEvent(line) # hint format and nextpos","le def __iter__(self): \"\"\" Iterate over LogFile object. Return a LogEvent object for","caused by :: (?P<errmsg>\\S+):', prev_line) steps = None if match: errmsg = match.group('errmsg')","reached return else: # fast bisection path max_mark = self.filesize step_size = max_mark","return self.num_lines def _iterate_lines(self): \"\"\"Count number of lines (can be expensive).\"\"\" self._num_lines =","rs_state, LogEvent(line)) self._rs_state.append(state) continue if \"[rsMgr] replSet\" in line: tokens = line.split() if","continue self._num_lines = ln + 1 # reset logfile self.filehandle.seek(0) def _check_for_restart(self, logevent):","abs(step_size) if not le: return # now walk backwards until we found a","line: # look for hostname, port match = re.search('port=(?P<port>\\d+).*host=(?P<host>\\S+)', line) if match: self._hostname","prev_line) steps = None if match: errmsg = match.group('errmsg') else: errmsg = \"Unknown\"","None self._port = None self._rs_state = None self._repl_set = None self._repl_set_members = None","6 rs_state = ' '.join(tokens[pos:]) state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue self._num_lines","@property def timezone(self): \"\"\"Lazy evaluation of timezone of logfile.\"\"\" if not self._timezone: self._calculate_bounds()","2) for line in reversed(self.filehandle.readlines()): logevent = LogEvent(line) if logevent.datetime: self._end = logevent.datetime","= None self._has_level = None # make sure bounds are calculated before starting","self._restarts = None self._binary = None self._timezone = None self._hostname = None self._port","math import ceil from mtools.util.input_source import InputSource from mtools.util.logevent import LogEvent class LogFile(InputSource):","self.next() if le.datetime and le.datetime >= start_dt: self.filehandle.seek(0) return le = None self.filehandle.seek(0)","return self._binary @property def hostname(self): \"\"\"Lazy evaluation of the binary name.\"\"\" if not","repl_set_members(self): \"\"\"Return the replSet (if available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set_members @property","self._rs_state = None self._repl_set = None self._repl_set_members = None self._repl_set_version = None self._repl_set_protocol","buff[:newline_pos].rfind('\\n') # move back to last newline char if newline_pos == -1: self.filehandle.seek(0)","namespace, numSplits, success, time_taken, error)) elif \"Unable to auto-split chunk\" in line: logevent","LogEvent(line) match = re.search('ns: \"(?P<namespace>\\S+)\".*' 'details: { (?P<range>.*\\}).*.*note: \"(?P<note>\\S+)\"', line) if match: time","\"(?P<namespace>\\S+)\".*,' ' (?P<range>min:.*), max.*op_msg (?P<time_taken>\\d+)', line) if match: time = logevent.datetime split_range =","version else: return False def _calculate_bounds(self): \"\"\"Calculate beginning and end of logfile.\"\"\" if","None): raise SystemExit(\"Error: <%s> does not appear to be a supported \" \"MongoDB","[] prev_line = \"\" for line in self.filehandle: if isinstance(line, bytes): line =","newline_pos == -1: self.filehandle.seek(0) return self.next() self.filehandle.seek(newline_pos - jump_back + 1, 1) #","@property def chunk_splits(self): \"\"\"Lazily return the chunks split in this shard (if available)\"\"\"","= ' '.join(tokens[pos:]) state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue self._num_lines = ln","line: logevent = LogEvent(line) match = re.search('ns: \"(?P<namespace>\\S+)\".*' 'details: { (?P<range>.*\\}).*' 'to: \"(?P<movedTo>\\S+)\".*note:","= tokens[pos] rs_state = tokens[-1] state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue if","= self.filehandle.tell() # jump back 15k characters (at most) and find last newline","== \"<stdin>\" self._bounds_calculated = False self._start = None self._end = None self._filesize =","self._bounds_calculated = False self._start = None self._end = None self._filesize = None self._num_lines","match = re.search('splitVector: \"(?P<namespace>\\S+)\".*,' ' (?P<range>min:.*), max.*op_msg (?P<time_taken>\\d+)', line) if match: time =","and line[31:39].strip() in LogEvent.log_components): self._has_level = True # find version string (fast check","line.split() if self._hostname: host = self._hostname + ':' + self._port else: host =","of all restarts.\"\"\" if not self._num_lines: self._iterate_lines() return self._rs_state @property def binary(self): \"\"\"Lazy","numSplits = 0 success = False time_taken = 0 error = match.group(\"error\") self._chunk_splits.append((time,","\"\"\"Lazy evaluation of all restarts.\"\"\" if not self._num_lines: self._iterate_lines() return self._rs_state @property def","lines (can be expensive).\"\"\" self._num_lines = 0 self._restarts = [] self._rs_state = []","@property def binary(self): \"\"\"Lazy evaluation of the binary name.\"\"\" if not self._num_lines: self._iterate_lines()","if \"version\" in line[:100]: logevent = LogEvent(line) restart = self._check_for_restart(logevent) if restart: self._restarts.append((restart,","self._find_sharding_info() return self._shards @property def csrs(self): \"\"\"Lazily return the CSRS (if available)\"\"\" if","match.group('replSet') self._repl_set_version = match.group('replSetVersion') match = re.search(', protocolVersion: (?P<replSetProtocol>\\d+), ', line) if match:","line in enumerate(self.filehandle): if isinstance(line, bytes): line = line.decode(\"utf-8\", \"replace\") if (self._has_level is","be forwarded manually, and it will miss the first line that would otherwise","= re.search(r'(\\d\\.\\d\\.\\d+)', logevent.line_str) if version: version = version.group(1) return version else: return False","if self._bounds_calculated: # Assume no need to recalc bounds for lifetime of a","'in namespace (?P<namespace>\\S+)' ' :: caused by :: (?P<error>\\S+): ', line) if match:","= 0 success = False time_taken = 0 error = match.group(\"error\") self._chunk_splits.append((time, split_range,","replSetInitiate:\" in line: match = re.search('{ _id: \"(?P<replSet>\\S+)\", ' 'members: (?P<replSetMembers>[^]]+ ])', line)","self._repl_set_members = match.group('replSetMembers') # Replica set config logging in MongoDB 3.0+ new_config =","time if self._end < self._start: self._start = self._start.replace(year=self._start.year - 1) self._year_rollover = self._end","self._repl_set_version = None self._repl_set_protocol = None self._storage_engine = None self._datetime_format = None self._year_rollover","= 0 success = False time_taken = 0 error = \"Jumbo\" self._chunk_splits.append((time, split_range,","== 'initandlisten' and \"db version v\" in logevent.line_str): self._binary = 'mongod' elif logevent.thread","line.decode('utf-8', 'replace') if line == '': raise StopIteration line = line.rstrip('\\n') le =","= 2 else: pos = 6 rs_state = ' '.join(tokens[pos:]) state = (host,","logevent = LogEvent(line) match = re.search('ns: \"(?P<namespace>\\S+)\".*' 'details: { (?P<range>.*\\}).*.*note: \"(?P<note>\\S+)\"', line) if","not self._num_lines: self._iterate_lines() return self._num_lines @property def restarts(self): \"\"\"Lazy evaluation of all restarts.\"\"\"","self.filehandle.tell() >= 2 and (le.datetime is None or le.datetime >= start_dt): self.filehandle.seek(-2, 1)","available)\"\"\" if not self._chunks_moved_to: self._find_sharding_info() return self._chunks_moved_to @property def chunks_moved_from(self): \"\"\"Lazily return the","chunk_migration = (time, chunk_range, moved_to, namespace, steps, note, errmsg) self._chunks_moved_from.append(chunk_migration) if \"moveChunk.to\" in","if not self._timezone: self._calculate_bounds() return self._timezone @property def filesize(self): \"\"\" Lazy evaluation of","(if available)\"\"\" if not self._csrs: self._find_sharding_info() return self._csrs @property def chunks_moved_to(self): \"\"\"Lazily return","logfile. Returns None for stdin input currently. \"\"\" if not self._start: self._calculate_bounds() return","self._start = self._start.replace(year=self._start.year - 1) self._year_rollover = self._end else: self._year_rollover = False #","* 60 print(\"Fatal log parsing loop detected trying to find previous \" \"log","{ (?P<range>.*\\}).*.*note: \"(?P<note>\\S+)\"', line) if match: time = logevent.datetime chunk_range = match.group('range') namespace","= 'mmapv1' \"\"\" For 3.2 the \"[initandlisten] options:\" no longer contains the \"engine\"","file and find any sharding related information \"\"\" self._shards = [] self._chunks_moved_from =","InputSource from mtools.util.logevent import LogEvent class LogFile(InputSource): \"\"\"Log file wrapper class. Handles open","this shard (if available)\"\"\" if not self._chunks_moved_from: self._find_sharding_info() return self._chunks_moved_from @property def chunk_splits(self):","False version = re.search(r'(\\d\\.\\d\\.\\d+)', logevent.line_str) if version: version = version.group(1) return version else:","smaller than first datetime self.filehandle.seek(0) le = self.next() if le.datetime and le.datetime >=","self._filesize: self._calculate_bounds() return self._filesize @property def datetime_format(self): \"\"\"Lazy evaluation of the datetime format.\"\"\"","in enumerate(self.filehandle): if isinstance(line, bytes): line = line.decode(\"utf-8\", \"replace\") if (self._has_level is None","logevent = LogEvent(line) match = re.search(\"chunk \\[(?P<range>.*)\\) \" 'in namespace (?P<namespace>\\S+)' ' ::","bisection path max_mark = self.filesize step_size = max_mark # check if start_dt is","5 host = tokens[pos] rs_state = tokens[-1] state = (host, rs_state, LogEvent(line)) self._rs_state.append(state)","For 3.0 the \"[initandlisten] options:\" long entry contained the \"engine\" field if WiredTiger","logevent.thread == 'mongosMain' and ('MongoS' in logevent.line_str or 'mongos' in logevent.line_str): self._binary =","(match.group('shardName'), match.group('replSetMembers')) self._shards.append(shard_info) elif self.binary == \"mongod\": logevent = LogEvent(line) if \"New replica","return self._start @property def end(self): \"\"\" Lazy evaluation of start and end of","being used \"\"\" if \"[initandlisten] wiredtiger_open config:\" in line: self._storage_engine = 'wiredTiger' if","and (le.datetime is None or le.datetime >= start_dt): self.filehandle.seek(-2, 1) le = self._find_curr_line(prev=True)","match: time = logevent.datetime split_range = None namespace = match.group(\"namespace\") numSplits = match.group('numSplits')","or 'mongos' in logevent.line_str): self._binary = 'mongos' else: return False version = re.search(r'(\\d\\.\\d\\.\\d+)',","(if available)\"\"\" if not self._chunks_moved_to: self._find_sharding_info() return self._chunks_moved_to @property def chunks_moved_from(self): \"\"\"Lazily return","if \"[rsMgr] replSet\" in line: tokens = line.split() if self._hostname: host = self._hostname","@property def has_level(self): \"\"\"Lazy evaluation of the whether the logfile has any level","bounds for lifetime of a Logfile object return if self.from_stdin: return False #","match.group('movedTo') note = match.group('note') if note == \"success\": errmsg = None steps =","match.group('replSetMembers') )) elif not self._csrs: self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if \"moveChunk.from\"","near offset %s in %s:\\n\\n%s\\n%s\\n\" \"<--- (current log parsing offset) \\n%s\\n%s\\n\" % (curr_pos,","(\"New replica set config in use: \") if new_config in line: match =","self._filesize = self.filehandle.tell() self.filehandle.seek(-min(self._filesize, 30000), 2) for line in reversed(self.filehandle.readlines()): logevent = LogEvent(line)","command: { replSetInitiate:\" in line: match = re.search('{ _id: \"(?P<replSet>\\S+)\", ' 'members: (?P<replSetMembers>[^]]+","line) if match: time = logevent.datetime chunk_range = match.group('range') namespace = match.group('namespace') moved_to","available)\"\"\" if not self._shards: self._find_sharding_info() return self._shards @property def csrs(self): \"\"\"Lazily return the","> max_start_lines: break # sanity check before attempting to find end date if","self.name, hr, buff[:error_context], buff[error_context:error_context + 1], hr), file=sys.stderr) raise SystemExit(\"Cannot parse %s with","if (\"is now in state\" in line and # next(state for state in","hr), file=sys.stderr) raise SystemExit(\"Cannot parse %s with requested options\" % self.filehandle.name) else: self.prev_pos","errmsg) self._chunks_moved_to.append(chunk_migration) if \"Finding the split vector for\" in line: logevent = LogEvent(line)","= logevent.datetime_format self._datetime_nextpos = logevent._datetime_nextpos break if lines_checked > max_start_lines: break # sanity","while abs(step_size) > 100: step_size = ceil(step_size / 2.) self.filehandle.seek(step_size, 1) le =","Only fast for files. Streams need to be forwarded manually, and it will","True error = None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \"Unable","datetime (lines are at most 10k, # go back 30k at most to","= LogEvent(line) if \"New replica set config in use\" in line: if \"configsvr:","logevent except StopIteration: # reached end of file return None def _find_sharding_info(self): \"\"\"","or v != versions[-1]: versions.append(v) return versions @property def repl_set(self): \"\"\"Return the replSet","\"(?P<replSet>\\S+)\".*' 'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._csrs = ( match.group('replSet'), match.group('replSetMembers') )","logevent = LogEvent(line) match = re.search('splitVector: \"(?P<namespace>\\S+)\".*,' ' (?P<range>min:.*), max.*op_msg (?P<time_taken>\\d+)', line) if","in self.filehandle: logevent = LogEvent(line) lines_checked += 1 if logevent.datetime: self._start = logevent.datetime","if (logevent.thread == 'initandlisten' and \"db version v\" in logevent.line_str): self._binary = 'mongod'","for stdin input currently. \"\"\" if self.from_stdin: return None if not self._filesize: self._calculate_bounds()","self._shards: self._find_sharding_info() return self._shards @property def csrs(self): \"\"\"Lazily return the CSRS (if available)\"\"\"","repl_set(self): \"\"\"Return the replSet (if available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set @property","self._csrs = csrs_info else: match = re.search(\"for (?P<shardName>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match: shard_info","file, get end date if not self.end and self.from_stdin: if le and le.datetime:","def storage_engine(self): \"\"\"Return storage engine if available.\"\"\" if not self._num_lines: self._iterate_lines() return self._storage_engine","not logevent.datetime: logevent = self.next() return logevent except StopIteration: # reached end of","LogEvent(line) match = re.search('splitVector: \"(?P<namespace>\\S+)\".*,' ' (?P<range>min:.*), max.*op_msg (?P<time_taken>\\d+)', line) if match: time","lines_checked > max_start_lines: break # sanity check before attempting to find end date","if \"moveChunk.from\" in line: logevent = LogEvent(line) match = re.search('ns: \"(?P<namespace>\\S+)\".*' 'details: {","= min(self.filehandle.tell(), 15000) self.filehandle.seek(-jump_back, 1) buff = self.filehandle.read(jump_back) self.filehandle.seek(curr_pos, 0) if prev and","datetime try: logevent = self.next() while not logevent.datetime: logevent = self.next() return logevent","or stdin.\"\"\" def __init__(self, filehandle): \"\"\"Provide logfile as open file stream or stdin.\"\"\"","the number of lines in a log file.\"\"\" return self.num_lines def _iterate_lines(self): \"\"\"Count","jump_back = min(self.filehandle.tell(), 15000) self.filehandle.seek(-jump_back, 1) buff = self.filehandle.read(jump_back) self.filehandle.seek(curr_pos, 0) if prev","('MongoS' in logevent.line_str or 'mongos' in logevent.line_str): self._binary = 'mongos' else: return False","# future iterations start from the beginning if not self.from_stdin: self.filehandle.seek(0) # return","PEP 479 return # get start date for stdin input if not self.start","self._iterate_lines() return self._storage_engine @property def shards(self): \"\"\"Lazily return the shards (if available)\"\"\" if","= \"-\" * 60 print(\"Fatal log parsing loop detected trying to find previous","= self.next() if le.datetime and le.datetime >= start_dt: self.filehandle.seek(0) return le = None","= None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \"Unable to auto-split","line: match = re.search(\"for (?P<replSet>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match: if self._csrs and match.group('replSet')","newline char jump_back = min(self.filehandle.tell(), 15000) self.filehandle.seek(-jump_back, 1) buff = self.filehandle.read(jump_back) self.filehandle.seek(curr_pos, 0)","steps = None match = re.search('errmsg: \"(?P<errmsg>.*)\"', line) if match: errmsg = match.group('errmsg')","self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) prev_line = line # reset logfile","only two engines, MMAPv1 and WiredTiger \"\"\" if \"[initandlisten] options:\" in line: match","= match.group('range') namespace = match.group('namespace') moved_to = match.group('movedTo') note = match.group('note') if note","logevent = LogEvent(line) if \"New replica set config in use\" in line: if",">= start_dt: step_size = -abs(step_size) else: step_size = abs(step_size) if not le: return","logevent = self.next() while not logevent.datetime: logevent = self.next() return logevent except StopIteration:","None if match: errmsg = match.group('errmsg') else: errmsg = \"Unknown\" chunk_migration = (time,","None: ret = le.set_datetime_hint(self._datetime_format, self._datetime_nextpos, self.year_rollover) if not ret: # logevent indicates timestamp","= None self._hostname = None self._port = None self._rs_state = None self._repl_set =","jump back 15k characters (at most) and find last newline char jump_back =","= 4 else: pos = 5 host = tokens[pos] rs_state = tokens[-1] state","= re.search('{ _id: \"(?P<replSet>\\S+)\", ' 'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set =","match: self._repl_set_members = match.group('replSetMembers') # if (\"is now in state\" in line and","line: match = re.search(' _id: \"(?P<replSet>\\S+)\".*' 'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._csrs","datetime obj using binary search. Only fast for files. Streams need to be","None: self._iterate_lines() return self._has_level @property def year_rollover(self): \"\"\"Lazy evaluation of the datetime format.\"\"\"","\"splitVector\" in line: logevent = LogEvent(line) match = re.search('splitVector: \"(?P<namespace>\\S+)\".*,' ' (?P<range>min:.*), max.*op_msg","open file stream or stdin.\"\"\" self.filehandle = filehandle self.name = filehandle.name self.from_stdin =","information \"\"\" self._shards = [] self._chunks_moved_from = [] self._chunks_moved_to = [] self._chunk_splits =","has_level(self): \"\"\"Lazy evaluation of the whether the logfile has any level lines.\"\"\" if","evaluation of the whether the logfile has any level lines.\"\"\" if self._has_level is","the current seek position. \"\"\" curr_pos = self.filehandle.tell() # jump back 15k characters","match = re.search('engine: \"(?P<engine>\\S+)\"', line) if match: self._storage_engine = match.group('engine') else: self._storage_engine =","' :: caused by :: (?P<error>\\S+): ', line) if match: time = logevent.datetime","alter this to find moved from shard name when SERVER-45770 TICKET is added","file.\"\"\" return self.num_lines def _iterate_lines(self): \"\"\"Count number of lines (can be expensive).\"\"\" self._num_lines","match: if self._csrs and match.group('replSet') != self._csrs[0]: self._shards.append(( match.group('replSet'), match.group('replSetMembers') )) elif not","(if available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set_protocol @property def storage_engine(self): \"\"\"Return storage","\"(?P<replSet>\\S+)\"', line) if match: self._repl_set = match.group('replSet') match = re.search('engine: \"(?P<engine>\\S+)\"', line) if","version: version = version.group(1) return version else: return False def _calculate_bounds(self): \"\"\"Calculate beginning","', line) if match: time = logevent.datetime split_range = match.group(\"range\") namespace = match.group(\"namespace\")","the first line that would otherwise match (as it consumes the log line).","1) self._year_rollover = self._end else: self._year_rollover = False # reset logfile self.filehandle.seek(0) self._bounds_calculated","valid log line within max_start_lines max_start_lines = 10 lines_checked = 0 # get","sharding related information \"\"\" self._shards = [] self._chunks_moved_from = [] self._chunks_moved_to = []","prev_line) if match: time = logevent.datetime split_range = match.group(\"range\") namespace = match.group(\"namespace\") numSplits","_find_curr_line(self, prev=False): \"\"\" Internal helper function. Find the current (or previous if prev=True)","time_taken = 0 error = \"Jumbo\" self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error))","match (as it consumes the log line). \"\"\" if self.from_stdin: # skip lines","line near offset %s in %s:\\n\\n%s\\n%s\\n\" \"<--- (current log parsing offset) \\n%s\\n%s\\n\" %","2) self._filesize = self.filehandle.tell() self.filehandle.seek(-min(self._filesize, 30000), 2) for line in reversed(self.filehandle.readlines()): logevent =","input currently. \"\"\" if self.from_stdin: return None if not self._filesize: self._calculate_bounds() return self._filesize","and line[28:31].strip() in LogEvent.log_levels and line[31:39].strip() in LogEvent.log_components): self._has_level = True # find","self._datetime_format = logevent.datetime_format self._datetime_nextpos = logevent._datetime_nextpos break if lines_checked > max_start_lines: break #","return self._shards @property def csrs(self): \"\"\"Lazily return the CSRS (if available)\"\"\" if not","None self._repl_set_version = None self._repl_set_protocol = None self._storage_engine = None self._datetime_format = None","None self._datetime_format = None self._year_rollover = None self._shards = None self._csrs = None","success, time_taken, error)) elif \"splitVector\" in line: logevent = LogEvent(line) match = re.search('splitVector:","self._datetime_format @property def has_level(self): \"\"\"Lazy evaluation of the whether the logfile has any","for line in self.filehandle: logevent = LogEvent(line) lines_checked += 1 if logevent.datetime: self._start","if match: self._repl_set = match.group('replSet') self._repl_set_members = match.group('replSetMembers') # Replica set config logging","return self._filesize @property def datetime_format(self): \"\"\"Lazy evaluation of the datetime format.\"\"\" if not","starting to iterate, # including potential year rollovers self._calculate_bounds() @property def start(self): \"\"\"","if \"Starting new replica set monitor for\" in line: match = re.search(\"for (?P<replSet>\\w+)/\"","# if there was a roll-over, subtract 1 year from start time if","moved from shard name when SERVER-45770 TICKET is added moved_from = \"Unknown\" note","in line[:100]: logevent = LogEvent(line) restart = self._check_for_restart(logevent) if restart: self._restarts.append((restart, logevent)) if","_find_sharding_info(self): \"\"\" Iterate over file and find any sharding related information \"\"\" self._shards","look for hostname, port match = re.search('port=(?P<port>\\d+).*host=(?P<host>\\S+)', line) if match: self._hostname = match.group('host')","helper function. Find the current (or previous if prev=True) line in a log","\"\"\"Return all version changes.\"\"\" versions = [] for v, _ in self.restarts: if","options:\" no longer contains the \"engine\" field So now we have to look","any sharding related information \"\"\" self._shards = [] self._chunks_moved_from = [] self._chunks_moved_to =","lines until start_dt is reached return else: # fast bisection path max_mark =","self.next() except StopIteration as e: # end of log file, get end date","be a supported \" \"MongoDB log file format\" % self.filehandle.name) # get end","self.next() self.filehandle.seek(newline_pos - jump_back + 1, 1) # roll forward until we found","self._num_lines: self._iterate_lines() return self._repl_set_version @property def repl_set_protocol(self): \"\"\"Return the replSet protocolVersion (if available).\"\"\"","re.search('ns: \"(?P<namespace>\\S+)\".*' 'details: { (?P<range>.*\\}).*.*note: \"(?P<note>\\S+)\"', line) if match: time = logevent.datetime chunk_range","logfile self.filehandle.seek(0) def fast_forward(self, start_dt): \"\"\" Fast-forward file to given start_dt datetime obj","used \"\"\" if \"[initandlisten] wiredtiger_open config:\" in line: self._storage_engine = 'wiredTiger' if \"command","= LogEvent(line) match = re.search(\"chunk \\[(?P<range>.*)\\) \" 'in namespace (?P<namespace>\\S+)' ' :: caused","max_start_lines = 10 lines_checked = 0 # get start datetime for line in","evaluation of the datetime format.\"\"\" if self._year_rollover is None: self._calculate_bounds() return self._year_rollover @property","number of lines. Returns None for stdin input currently. \"\"\" if self.from_stdin: return","available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set_protocol @property def storage_engine(self): \"\"\"Return storage engine","return the shards (if available)\"\"\" if not self._shards: self._find_sharding_info() return self._shards @property def","< self._start: self._start = self._start.replace(year=self._start.year - 1) self._year_rollover = self._end else: self._year_rollover =","if not self._num_lines: self._iterate_lines() return self._storage_engine @property def shards(self): \"\"\"Lazily return the shards","offset) \\n%s\\n%s\\n\" % (curr_pos, self.name, hr, buff[:error_context], buff[error_context:error_context + 1], hr), file=sys.stderr) raise","le.datetime try: yield le except StopIteration: return states = (['PRIMARY', 'SECONDARY', 'DOWN', 'STARTUP',","self._datetime_nextpos is not None: ret = le.set_datetime_hint(self._datetime_format, self._datetime_nextpos, self.year_rollover) if not ret: #","for stdin input currently. \"\"\" if not self._end: self._calculate_bounds() return self._end @property def","filehandle self.name = filehandle.name self.from_stdin = filehandle.name == \"<stdin>\" self._bounds_calculated = False self._start","if restart: self._restarts.append((restart, logevent)) if \"starting :\" in line or \"starting:\" in line:","of \\d): (?P<stepTimes>\\d+)', line) else: match = re.search(':: caused by :: (?P<errmsg>\\S+):', prev_line)","the \"[initandlisten] options:\" long entry contained the \"engine\" field if WiredTiger was the","get start datetime for line in self.filehandle: logevent = LogEvent(line) lines_checked += 1","definitively that wiredTiger is being used \"\"\" if \"[initandlisten] wiredtiger_open config:\" in line:","end of log file, get end date if not self.end and self.from_stdin: if","timezone of logfile.\"\"\" if not self._timezone: self._calculate_bounds() return self._timezone @property def filesize(self): \"\"\"","string (fast check to eliminate most lines) if \"version\" in line[:100]: logevent =","SERVER-45770 TICKET is added moved_from = \"Unknown\" note = match.group('note') if note ==","'version: (?P<replSetVersion>\\d+), ', line) if match: self._repl_set = match.group('replSet') self._repl_set_version = match.group('replSetVersion') match","evaluation of the number of lines. Returns None for stdin input currently. \"\"\"","return if self.from_stdin: return False # we should be able to find a","catch one) self.filehandle.seek(0, 2) self._filesize = self.filehandle.tell() self.filehandle.seek(-min(self._filesize, 30000), 2) for line in","@property def end(self): \"\"\" Lazy evaluation of start and end of logfile. Returns","stream or stdin.\"\"\" self.filehandle = filehandle self.name = filehandle.name self.from_stdin = filehandle.name ==","ln, line in enumerate(self.filehandle): if isinstance(line, bytes): line = line.decode(\"utf-8\", \"replace\") if (self._has_level","in line: tokens = line.split() if self._hostname: host = self._hostname + ':' +","re.search(\"for (?P<shardName>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match: shard_info = (match.group('shardName'), match.group('replSetMembers')) self._shards.append(shard_info) elif self.binary","= match.group(\"range\") namespace = match.group(\"namespace\") numSplits = 0 success = False time_taken =","def datetime_format(self): \"\"\"Lazy evaluation of the datetime format.\"\"\" if not self._datetime_format: self._calculate_bounds() return","chunk_range, moved_to, namespace, steps, note, errmsg) self._chunks_moved_from.append(chunk_migration) if \"moveChunk.to\" in line: logevent =","to this shard (if available)\"\"\" if not self._chunks_moved_to: self._find_sharding_info() return self._chunks_moved_to @property def","format.\"\"\" if self._year_rollover is None: self._calculate_bounds() return self._year_rollover @property def num_lines(self): \"\"\" Lazy","return None if not self._filesize: self._calculate_bounds() return self._filesize @property def datetime_format(self): \"\"\"Lazy evaluation","namespace = match.group(\"namespace\") time_taken = match.group(\"time_taken\") numSplits = 0 success = True error","logevent.datetime split_range = match.group(\"range\") namespace = match.group(\"namespace\") time_taken = match.group(\"time_taken\") numSplits = 0","None match = re.search('errmsg: \"(?P<errmsg>.*)\"', line) if match: errmsg = match.group('errmsg') chunk_migration =","match: time = logevent.datetime split_range = match.group(\"range\") namespace = match.group(\"namespace\") numSplits = 0","Replica set config logging in MongoDB 3.0+ new_config = (\"New replica set config","= line.split() # 2.6 if tokens[1].endswith(']'): pos = 4 else: pos = 5","\"<--- (current log parsing offset) \\n%s\\n%s\\n\" % (curr_pos, self.name, hr, buff[:error_context], buff[error_context:error_context +","= line # reset logfile self.filehandle.seek(0) def fast_forward(self, start_dt): \"\"\" Fast-forward file to","# Assume no need to recalc bounds for lifetime of a Logfile object","if self._datetime_format and self._datetime_nextpos is not None: ret = le.set_datetime_hint(self._datetime_format, self._datetime_nextpos, self.year_rollover) if","time_taken, error)) elif \"splitVector\" in line: logevent = LogEvent(line) match = re.search('splitVector: \"(?P<namespace>\\S+)\".*,'","line in a log file based on the current seek position. \"\"\" curr_pos","\"version\" in line[:100]: logevent = LogEvent(line) restart = self._check_for_restart(logevent) if restart: self._restarts.append((restart, logevent))","moved_from = \"Unknown\" note = match.group('note') if note == \"success\": errmsg = None","not le: break if le.datetime >= start_dt: step_size = -abs(step_size) else: step_size =","def rs_state(self): \"\"\"Lazy evaluation of all restarts.\"\"\" if not self._num_lines: self._iterate_lines() return self._rs_state","# get end datetime (lines are at most 10k, # go back 30k","match = re.search(\"chunk \\[(?P<range>.*)\\) \" 'in namespace (?P<namespace>\\S+)' ' :: caused by ::","\\n%s\\n%s\\n\" % (curr_pos, self.name, hr, buff[:error_context], buff[error_context:error_context + 1], hr), file=sys.stderr) raise SystemExit(\"Cannot","MMAPv1 and WiredTiger \"\"\" if \"[initandlisten] options:\" in line: match = re.search('replSet: \"(?P<replSet>\\S+)\"',","le.datetime_format self._datetime_nextpos = le._datetime_nextpos return le def __iter__(self): \"\"\" Iterate over LogFile object.","file=sys.stderr) raise SystemExit(\"Cannot parse %s with requested options\" % self.filehandle.name) else: self.prev_pos =","stdin input if not self.start and self.from_stdin: if le and le.datetime: self._start =","to find end date if (self._start is None): raise SystemExit(\"Error: <%s> does not","le.datetime >= start_dt: self.filehandle.seek(0) return le = None self.filehandle.seek(0) # search for lower","line: self._storage_engine = 'wiredTiger' if \"command admin.$cmd command: { replSetInitiate:\" in line: match","numSplits, success, time_taken, error)) elif \"splitVector\" in line: logevent = LogEvent(line) match =","0 error = \"Jumbo\" self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) prev_line =","(time, chunk_range, moved_from, namespace, steps, note, errmsg) self._chunks_moved_to.append(chunk_migration) if \"Finding the split vector","prev=False): \"\"\" Internal helper function. Find the current (or previous if prev=True) line","= self._end else: self._year_rollover = False # reset logfile self.filehandle.seek(0) self._bounds_calculated = True","os import re import sys from datetime import datetime from math import ceil","if le.datetime and le.datetime >= start_dt: self.filehandle.seek(0) return le = None self.filehandle.seek(0) #","to make sure we catch one) self.filehandle.seek(0, 2) self._filesize = self.filehandle.tell() self.filehandle.seek(-min(self._filesize, 30000),","1, 1) # roll forward until we found a line with a datetime","if \"starting :\" in line or \"starting:\" in line: # look for hostname,","# go back 30k at most to make sure we catch one) self.filehandle.seek(0,","'wiredTiger' if \"command admin.$cmd command: { replSetInitiate:\" in line: match = re.search('{ _id:","match = re.search(', protocolVersion: (?P<replSetProtocol>\\d+), ', line) if match: self._repl_set_protocol = match.group('replSetProtocol') match","'ARBITER', 'UNKNOWN']) def __len__(self): \"\"\"Return the number of lines in a log file.\"\"\"","buff[error_context:error_context + 1], hr), file=sys.stderr) raise SystemExit(\"Cannot parse %s with requested options\" %","match.group('replSet'), match.group('replSetMembers') ) if \"Starting new replica set monitor for\" in line: match","able to find a valid log line within max_start_lines max_start_lines = 10 lines_checked","LogEvent(line) match = re.search('ns: \"(?P<namespace>\\S+)\".*' 'details: { (?P<range>.*\\}).*' 'to: \"(?P<movedTo>\\S+)\".*note: \"(?P<note>\\S+)\"', line) if","prev_line = \"\" for line in self.filehandle: if isinstance(line, bytes): line = line.decode(\"utf-8\",","return the chunks moved to this shard (if available)\"\"\" if not self._chunks_moved_to: self._find_sharding_info()","steps = None if match: errmsg = match.group('errmsg') else: errmsg = \"Unknown\" chunk_migration","= self._check_for_restart(logevent) if restart: self._restarts.append((restart, logevent)) if \"starting :\" in line or \"starting:\"","and find any sharding related information \"\"\" self._shards = [] self._chunks_moved_from = []","internal readahead # buffer so seek position is wrong line = self.filehandle.readline() if","set config in use: \") if new_config in line: match = re.search('{ _id:","self._end = logevent.datetime break # if there was a roll-over, subtract 1 year","self.year_rollover) if not ret: # logevent indicates timestamp format has changed, # invalidate","else: # 2.6 if tokens[1].endswith(']'): pos = 2 else: pos = 6 rs_state","\"(?P<note>\\S+)\"', line) if match: time = logevent.datetime chunk_range = match.group('range') namespace = match.group('namespace')","logevent._datetime_nextpos break if lines_checked > max_start_lines: break # sanity check before attempting to","another logevent self._datetime_format = le.datetime_format self._datetime_nextpos = le._datetime_nextpos return le def __iter__(self): \"\"\"","numSplits = match.group('numSplits') success = None time_taken = 0 error = None self._chunk_splits.append((time,","we should be able to find a valid log line within max_start_lines max_start_lines","\"Starting new replica set monitor for\" in line: match = re.search(\"for (?P<replSet>\\w+)/\" \"(?P<replSetMembers>\\S+)\",","= \"Unknown\" note = match.group('note') if note == \"success\": errmsg = None steps","if not self._datetime_format: self._calculate_bounds() return self._datetime_format @property def has_level(self): \"\"\"Lazy evaluation of the","re.search(\"for (?P<replSet>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match: if self._csrs and match.group('replSet') != self._csrs[0]: self._shards.append((","errmsg) self._chunks_moved_from.append(chunk_migration) if \"moveChunk.to\" in line: logevent = LogEvent(line) match = re.search('ns: \"(?P<namespace>\\S+)\".*'","curr_pos = self.filehandle.tell() # jump back 15k characters (at most) and find last","(match.group('csrsName'), match.group('replSetMembers')) self._csrs = csrs_info else: match = re.search(\"for (?P<shardName>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if","len(versions) == 0 or v != versions[-1]: versions.append(v) return versions @property def repl_set(self):","match: errmsg = match.group('errmsg') chunk_migration = (time, chunk_range, moved_from, namespace, steps, note, errmsg)","expensive).\"\"\" self._num_lines = 0 self._restarts = [] self._rs_state = [] ln = 0","in states if line.endswith(state))): if \"is now in state\" in line: tokens =","self.filehandle = filehandle self.name = filehandle.name self.from_stdin = filehandle.name == \"<stdin>\" self._bounds_calculated =","self.binary == \"mongod\": logevent = LogEvent(line) if \"New replica set config in use\"","match = re.search('ns: \"(?P<namespace>\\S+)\".*' 'details: { (?P<range>.*\\}).*' 'to: \"(?P<movedTo>\\S+)\".*note: \"(?P<note>\\S+)\"', line) if match:","of start and end of logfile. Returns None for stdin input currently. \"\"\"","None steps = re.findall('(?P<steps>step \\d of \\d): (?P<stepTimes>\\d+)', line) else: match = re.search('::","0 or v != versions[-1]: versions.append(v) return versions @property def repl_set(self): \"\"\"Return the","match.group('errmsg') chunk_migration = (time, chunk_range, moved_from, namespace, steps, note, errmsg) self._chunks_moved_to.append(chunk_migration) if \"Finding","uses internal readahead # buffer so seek position is wrong line = self.filehandle.readline()","available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set @property def repl_set_members(self): \"\"\"Return the replSet","time = logevent.datetime split_range = match.group(\"range\") namespace = match.group(\"namespace\") time_taken = match.group(\"time_taken\") numSplits","match: self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if \"Starting new replica set monitor","= None self._restarts = None self._binary = None self._timezone = None self._hostname =","most lines) if \"version\" in line[:100]: logevent = LogEvent(line) restart = self._check_for_restart(logevent) if","replica set config in use: \") if new_config in line: match = re.search('{","if tokens[1].endswith(']'): pos = 2 else: pos = 6 rs_state = ' '.join(tokens[pos:])","sure we catch one) self.filehandle.seek(0, 2) self._filesize = self.filehandle.tell() self.filehandle.seek(-min(self._filesize, 30000), 2) for","self.filehandle.seek(-error_context, 1) buff = self.filehandle.read(curr_pos) hr = \"-\" * 60 print(\"Fatal log parsing","= match.group('note') if note == \"success\": errmsg = None steps = re.findall('(?P<steps>step \\d","\"\"\"Return the replSet protocolVersion (if available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set_protocol @property","line.decode(\"utf-8\", \"replace\") if self.binary == \"mongos\": if \"Starting new replica set monitor for\"","True # find version string (fast check to eliminate most lines) if \"version\"","replica set monitor for\" in line: match = re.search(\"for (?P<replSet>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if","if logevent.datetime: self._end = logevent.datetime break # if there was a roll-over, subtract","'mongos' in logevent.line_str): self._binary = 'mongos' else: return False version = re.search(r'(\\d\\.\\d\\.\\d+)', logevent.line_str)","MongoDB 3.0+ new_config = (\"New replica set config in use: \") if new_config","if not self._num_lines: self._iterate_lines() return self._num_lines @property def restarts(self): \"\"\"Lazy evaluation of all","= match.group('errmsg') chunk_migration = (time, chunk_range, moved_from, namespace, steps, note, errmsg) self._chunks_moved_to.append(chunk_migration) if","start_dt is reached return else: # fast bisection path max_mark = self.filesize step_size","now we have to look for the \"[initandlisten] wiredtiger_open config:\" which was present","not self._num_lines: self._iterate_lines() return self._repl_set @property def repl_set_members(self): \"\"\"Return the replSet (if available).\"\"\"","ret = le.set_datetime_hint(self._datetime_format, self._datetime_nextpos, self.year_rollover) if not ret: # logevent indicates timestamp format","replica set config in use\" in line: if \"configsvr: true\" in line: match","namespace (?P<namespace>\\S+)' ' :: caused by :: (?P<error>\\S+): ', line) if match: time","if match: time = logevent.datetime chunk_range = match.group('range') namespace = match.group('namespace') moved_to =","line) if match: self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if \"Starting new replica","if not self._chunk_splits: self._find_sharding_info() return self._chunk_splits def next(self): \"\"\"Get next line, adjust for","0 error = None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \"splitVector\"","None # Track previous file position for loop detection in _find_curr_line() self.prev_pos =","repl_set_version(self): \"\"\"Return the replSet (if available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set_version @property","None self._chunks_moved_to = None self._chunk_splits = None # Track previous file position for","if not self._num_lines: self._iterate_lines() return self._restarts @property def rs_state(self): \"\"\"Lazy evaluation of all","LogEvent object for each line (generator). \"\"\" le = None while True: try:","and self.prev_pos is not None and self.prev_pos == curr_pos: # Number of characters","'to: \"(?P<movedTo>\\S+)\".*note: \"(?P<note>\\S+)\"', line) if match: time = logevent.datetime chunk_range = match.group('range') namespace","of all restarts.\"\"\" if not self._num_lines: self._iterate_lines() return self._restarts @property def rs_state(self): \"\"\"Lazy","1) buff = self.filehandle.read(curr_pos) hr = \"-\" * 60 print(\"Fatal log parsing loop","numSplits, success, time_taken, error)) elif \"Unable to auto-split chunk\" in line: logevent =","if line == '': raise StopIteration line = line.rstrip('\\n') le = LogEvent(line) #","most 10k, # go back 30k at most to make sure we catch","\"(?P<movedTo>\\S+)\".*note: \"(?P<note>\\S+)\"', line) if match: time = logevent.datetime chunk_range = match.group('range') namespace =","not self._datetime_format: self._calculate_bounds() return self._datetime_format @property def has_level(self): \"\"\"Lazy evaluation of the whether","and self._datetime_nextpos is not None: ret = le.set_datetime_hint(self._datetime_format, self._datetime_nextpos, self.year_rollover) if not ret:","le and le.datetime: self._start = le.datetime try: yield le except StopIteration: return states","csrs(self): \"\"\"Lazily return the CSRS (if available)\"\"\" if not self._csrs: self._find_sharding_info() return self._csrs","logevent = LogEvent(line) match = re.search('for (?P<namespace>\\S+).*' 'numSplits: (?P<numSplits>\\d+)', line) if match: time","None if not self._filesize: self._calculate_bounds() return self._filesize @property def datetime_format(self): \"\"\"Lazy evaluation of","jump_back + 1, 1) # roll forward until we found a line with","30k at most to make sure we catch one) self.filehandle.seek(0, 2) self._filesize =","return self._end @property def timezone(self): \"\"\"Lazy evaluation of timezone of logfile.\"\"\" if not","\"\"\" For 3.0 the \"[initandlisten] options:\" long entry contained the \"engine\" field if","@property def versions(self): \"\"\"Return all version changes.\"\"\" versions = [] for v, _","logevent indicates timestamp format has changed, # invalidate hint info self._datetime_format = None","def chunks_moved_to(self): \"\"\"Lazily return the chunks moved to this shard (if available)\"\"\" if","'DOWN', 'STARTUP', 'STARTUP2', 'RECOVERING', 'ROLLBACK', 'ARBITER', 'UNKNOWN']) def __len__(self): \"\"\"Return the number of","match: self._repl_set = match.group('replSet') self._repl_set_version = match.group('replSetVersion') match = re.search(', protocolVersion: (?P<replSetProtocol>\\d+), ',","namespace = match.group('namespace') # TODO: alter this to find moved from shard name","self.filesize step_size = max_mark # check if start_dt is already smaller than first","self._calculate_bounds() return self._filesize @property def datetime_format(self): \"\"\"Lazy evaluation of the datetime format.\"\"\" if","by :: (?P<errmsg>\\S+):', prev_line) steps = None if match: errmsg = match.group('errmsg') else:","logevent.datetime: self._end = logevent.datetime break # if there was a roll-over, subtract 1","logfile.\"\"\" if not self._timezone: self._calculate_bounds() return self._timezone @property def filesize(self): \"\"\" Lazy evaluation","from mtools.util.logevent import LogEvent class LogFile(InputSource): \"\"\"Log file wrapper class. Handles open file","and hint datetime format.\"\"\" # use readline here because next() iterator uses internal","import datetime from math import ceil from mtools.util.input_source import InputSource from mtools.util.logevent import","shards(self): \"\"\"Lazily return the shards (if available)\"\"\" if not self._shards: self._find_sharding_info() return self._shards","+= ' (self)' if tokens[-1] in self.states: rs_state = tokens[-1] else: # 2.6","= None self._storage_engine = None self._datetime_format = None self._year_rollover = None self._shards =","\"[initandlisten] wiredtiger_open config:\" in line: self._storage_engine = 'wiredTiger' if \"command admin.$cmd command: {","error)) elif \"splitVector\" in line: logevent = LogEvent(line) match = re.search('splitVector: \"(?P<namespace>\\S+)\".*,' '","= [] self._chunk_splits = [] prev_line = \"\" for line in self.filehandle: if","including potential year rollovers self._calculate_bounds() @property def start(self): \"\"\" Lazy evaluation of start","have to look for the \"[initandlisten] wiredtiger_open config:\" which was present in 3.0,","self._iterate_lines() return self._repl_set_version @property def repl_set_protocol(self): \"\"\"Return the replSet protocolVersion (if available).\"\"\" if","are at most 10k, # go back 30k at most to make sure","= le.datetime try: yield le except StopIteration: return states = (['PRIMARY', 'SECONDARY', 'DOWN',","= re.search('replSet: \"(?P<replSet>\\S+)\"', line) if match: self._repl_set = match.group('replSet') match = re.search('engine: \"(?P<engine>\\S+)\"',","def _find_sharding_info(self): \"\"\" Iterate over file and find any sharding related information \"\"\"","None: self._calculate_bounds() return self._year_rollover @property def num_lines(self): \"\"\" Lazy evaluation of the number","% self.filehandle.name) # get end datetime (lines are at most 10k, # go","[] self._chunk_splits = [] prev_line = \"\" for line in self.filehandle: if isinstance(line,","line and # next(state for state in states if line.endswith(state))): if \"is now","le.datetime # future iterations start from the beginning if not self.from_stdin: self.filehandle.seek(0) #","if \"[mongosMain]\" in line: match = re.search(\"for (?P<csrsName>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match: csrs_info","storage engine if available.\"\"\" if not self._num_lines: self._iterate_lines() return self._storage_engine @property def shards(self):","steps = re.findall('(?P<steps>step \\d of \\d): (?P<stepTimes>\\d+)', line) else: match = re.search(':: caused","field So now we have to look for the \"[initandlisten] wiredtiger_open config:\" which","the logfile has any level lines.\"\"\" if self._has_level is None: self._iterate_lines() return self._has_level","self._rs_state.append(state) continue if \"[rsMgr] replSet\" in line: tokens = line.split() if self._hostname: host","(curr_pos, self.name, hr, buff[:error_context], buff[error_context:error_context + 1], hr), file=sys.stderr) raise SystemExit(\"Cannot parse %s","%s with requested options\" % self.filehandle.name) else: self.prev_pos = curr_pos if isinstance(buff, bytes):","return the chunks split in this shard (if available)\"\"\" if not self._chunk_splits: self._find_sharding_info()","self._storage_engine = 'mmapv1' \"\"\" For 3.2 the \"[initandlisten] options:\" no longer contains the","self._repl_set = match.group('replSet') self._repl_set_version = match.group('replSetVersion') match = re.search(', protocolVersion: (?P<replSetProtocol>\\d+), ', line)","logevent = LogEvent(line) match = re.search('migration (?P<namespace>\\S+): \\[(?P<range>.*)\\)', prev_line) if match: time =","self._has_level = True # find version string (fast check to eliminate most lines)","added moved_from = \"Unknown\" note = match.group('note') if note == \"success\": errmsg =","None # make sure bounds are calculated before starting to iterate, # including","is wrong line = self.filehandle.readline() if isinstance(line, bytes): line = line.decode('utf-8', 'replace') if","line = line.decode(\"utf-8\", \"replace\") if self.binary == \"mongos\": if \"Starting new replica set","\"\"\"Lazily return the chunks split in this shard (if available)\"\"\" if not self._chunk_splits:","log parsing offset) \\n%s\\n%s\\n\" % (curr_pos, self.name, hr, buff[:error_context], buff[error_context:error_context + 1], hr),","true\" in line: match = re.search(' _id: \"(?P<replSet>\\S+)\".*' 'members: (?P<replSetMembers>[^]]+ ])', line) if","to find previous \" \"log line near offset %s in %s:\\n\\n%s\\n%s\\n\" \"<--- (current","any level lines.\"\"\" if self._has_level is None: self._iterate_lines() return self._has_level @property def year_rollover(self):","self.prev_pos = None self._has_level = None # make sure bounds are calculated before","self._repl_set @property def repl_set_members(self): \"\"\"Return the replSet (if available).\"\"\" if not self._num_lines: self._iterate_lines()","le and le.datetime: self._end = le.datetime # future iterations start from the beginning","logevent): if (logevent.thread == 'initandlisten' and \"db version v\" in logevent.line_str): self._binary =","in line and # next(state for state in states if line.endswith(state))): if \"is","raise SystemExit(\"Cannot parse %s with requested options\" % self.filehandle.name) else: self.prev_pos = curr_pos","return self._timezone @property def filesize(self): \"\"\" Lazy evaluation of start and end of","time = logevent.datetime chunk_range = match.group('range') namespace = match.group('namespace') # TODO: alter this","detected trying to find previous \" \"log line near offset %s in %s:\\n\\n%s\\n%s\\n\"","LogEvent(line)) self._rs_state.append(state) continue if \"[rsMgr] replSet\" in line: tokens = line.split() if self._hostname:","line: logevent = LogEvent(line) match = re.search('ns: \"(?P<namespace>\\S+)\".*' 'details: { (?P<range>.*\\}).*.*note: \"(?P<note>\\S+)\"', line)","backwards until we found a truly smaller line while self.filehandle.tell() >= 2 and","from __future__ import print_function import os import re import sys from datetime import","'': raise StopIteration line = line.rstrip('\\n') le = LogEvent(line) # hint format and","timestamp format has changed, # invalidate hint info self._datetime_format = None self._datetime_nextpos =","def port(self): \"\"\"Lazy evaluation of the binary name.\"\"\" if not self._num_lines: self._iterate_lines() return","yield le except StopIteration: return states = (['PRIMARY', 'SECONDARY', 'DOWN', 'STARTUP', 'STARTUP2', 'RECOVERING',","if prev: newline_pos = buff[:newline_pos].rfind('\\n') # move back to last newline char if","for\" in line: match = re.search(\"for (?P<replSet>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match: if self._csrs","Iterate over LogFile object. Return a LogEvent object for each line (generator). \"\"\"","continue if \"[rsMgr] replSet\" in line: tokens = line.split() if self._hostname: host =","= abs(step_size) if not le: return # now walk backwards until we found","datetime import datetime from math import ceil from mtools.util.input_source import InputSource from mtools.util.logevent","evaluation of all restarts.\"\"\" if not self._num_lines: self._iterate_lines() return self._rs_state @property def binary(self):","= None self._datetime_nextpos = None elif le.datetime: # gather new hint info from","import os import re import sys from datetime import datetime from math import","ceil from mtools.util.input_source import InputSource from mtools.util.logevent import LogEvent class LogFile(InputSource): \"\"\"Log file","# roll forward until we found a line with a datetime try: logevent","time_taken, error)) elif \"Unable to auto-split chunk\" in line: logevent = LogEvent(line) match","= logevent.datetime split_range = match.group(\"range\") namespace = match.group(\"namespace\") time_taken = match.group(\"time_taken\") numSplits =","elif self.binary == \"mongod\": logevent = LogEvent(line) if \"New replica set config in","tokens[1].endswith(']'): pos = 4 else: pos = 5 host = tokens[pos] rs_state =","match.group('replSetMembers') ) if \"moveChunk.from\" in line: logevent = LogEvent(line) match = re.search('ns: \"(?P<namespace>\\S+)\".*'","match.group('note') if note == \"success\": errmsg = None steps = re.findall('(?P<steps>step \\d of","port(self): \"\"\"Lazy evaluation of the binary name.\"\"\" if not self._num_lines: self._iterate_lines() return self._port","le = None while True: try: le = self.next() except StopIteration as e:","= \"Jumbo\" self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) prev_line = line #","= self.filehandle.tell() self.filehandle.seek(-min(self._filesize, 30000), 2) for line in reversed(self.filehandle.readlines()): logevent = LogEvent(line) if","and nextpos from previous line if self._datetime_format and self._datetime_nextpos is not None: ret","+= 1 if logevent.datetime: self._start = logevent.datetime self._timezone = logevent.datetime.tzinfo self._datetime_format = logevent.datetime_format","number of lines (can be expensive).\"\"\" self._num_lines = 0 self._restarts = [] self._rs_state","it will miss the first line that would otherwise match (as it consumes","beginning if not self.from_stdin: self.filehandle.seek(0) # return (instead of raising StopIteration exception) per","long entry contained the \"engine\" field if WiredTiger was the storage engine. There","= True error = None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif","self._repl_set = None self._repl_set_members = None self._repl_set_version = None self._repl_set_protocol = None self._storage_engine","\"\"\"Lazy evaluation of the datetime format.\"\"\" if self._year_rollover is None: self._calculate_bounds() return self._year_rollover","match = re.search('{ _id: \"(?P<replSet>\\S+)\", ' 'version: (?P<replSetVersion>\\d+), ', line) if match: self._repl_set","else: return False version = re.search(r'(\\d\\.\\d\\.\\d+)', logevent.line_str) if version: version = version.group(1) return","(?P<time_taken>\\d+)', line) if match: time = logevent.datetime split_range = match.group(\"range\") namespace = match.group(\"namespace\")","ceil(step_size / 2.) self.filehandle.seek(step_size, 1) le = self._find_curr_line() if not le: break if","storage engine. There were only two engines, MMAPv1 and WiredTiger \"\"\" if \"[initandlisten]","if match: self._storage_engine = match.group('engine') else: self._storage_engine = 'mmapv1' \"\"\" For 3.2 the","bytes): line = line.decode(\"utf-8\", \"replace\") if (self._has_level is None and line[28:31].strip() in LogEvent.log_levels","back 15k characters (at most) and find last newline char jump_back = min(self.filehandle.tell(),","eliminate most lines) if \"version\" in line[:100]: logevent = LogEvent(line) restart = self._check_for_restart(logevent)","== \"mongos\": if \"Starting new replica set monitor for\" in line: if \"[mongosMain]\"","\"(?P<namespace>\\S+)\".*' 'details: { (?P<range>.*\\}).*' 'to: \"(?P<movedTo>\\S+)\".*note: \"(?P<note>\\S+)\"', line) if match: time = logevent.datetime","log line). \"\"\" if self.from_stdin: # skip lines until start_dt is reached return","# check if start_dt is already smaller than first datetime self.filehandle.seek(0) le =","seek position is wrong line = self.filehandle.readline() if isinstance(line, bytes): line = line.decode('utf-8',","lines) if \"version\" in line[:100]: logevent = LogEvent(line) restart = self._check_for_restart(logevent) if restart:","two engines, MMAPv1 and WiredTiger \"\"\" if \"[initandlisten] options:\" in line: match =","error)) prev_line = line # reset logfile self.filehandle.seek(0) def fast_forward(self, start_dt): \"\"\" Fast-forward","enumerate(self.filehandle): if isinstance(line, bytes): line = line.decode(\"utf-8\", \"replace\") if (self._has_level is None and","if lines_checked > max_start_lines: break # sanity check before attempting to find end","= None self._end = None self._filesize = None self._num_lines = None self._restarts =","numSplits, success, time_taken, error)) elif \"jumbo\" in line: logevent = LogEvent(line) match =","/ 2.) self.filehandle.seek(step_size, 1) le = self._find_curr_line() if not le: break if le.datetime","namespace = match.group(\"namespace\") numSplits = match.group('numSplits') success = None time_taken = 0 error","but would now tell us definitively that wiredTiger is being used \"\"\" if","def restarts(self): \"\"\"Lazy evaluation of all restarts.\"\"\" if not self._num_lines: self._iterate_lines() return self._restarts","\"Starting new replica set monitor for\" in line: if \"[mongosMain]\" in line: match","logevent.datetime split_range = None namespace = match.group(\"namespace\") numSplits = match.group('numSplits') success = None","(?P<namespace>\\S+).*' 'numSplits: (?P<numSplits>\\d+)', line) if match: time = logevent.datetime split_range = None namespace","which was present in 3.0, but would now tell us definitively that wiredTiger","TODO: alter this to find moved from shard name when SERVER-45770 TICKET is","current (or previous if prev=True) line in a log file based on the","iterations start from the beginning if not self.from_stdin: self.filehandle.seek(0) # return (instead of","was a roll-over, subtract 1 year from start time if self._end < self._start:","\"\"\"Lazily return the CSRS (if available)\"\"\" if not self._csrs: self._find_sharding_info() return self._csrs @property","@property def chunks_moved_from(self): \"\"\"Lazily return the chunks moved from this shard (if available)\"\"\"","Logfile object return if self.from_stdin: return False # we should be able to","== \"mongod\": logevent = LogEvent(line) if \"New replica set config in use\" in","= LogEvent(line) restart = self._check_for_restart(logevent) if restart: self._restarts.append((restart, logevent)) if \"starting :\" in","find previous \" \"log line near offset %s in %s:\\n\\n%s\\n%s\\n\" \"<--- (current log","restart: self._restarts.append((restart, logevent)) if \"starting :\" in line or \"starting:\" in line: #","object return if self.from_stdin: return False # we should be able to find","self._csrs[0]: self._shards.append(( match.group('replSet'), match.group('replSetMembers') )) elif not self._csrs: self._csrs = ( match.group('replSet'), match.group('replSetMembers')","60 print(\"Fatal log parsing loop detected trying to find previous \" \"log line","self._shards.append(shard_info) elif self.binary == \"mongod\": logevent = LogEvent(line) if \"New replica set config","re.search('migration (?P<namespace>\\S+): \\[(?P<range>.*)\\)', prev_line) if match: time = logevent.datetime split_range = match.group(\"range\") namespace","find end date if (self._start is None): raise SystemExit(\"Error: <%s> does not appear","roll-over, subtract 1 year from start time if self._end < self._start: self._start =","elif logevent.thread == 'mongosMain' and ('MongoS' in logevent.line_str or 'mongos' in logevent.line_str): self._binary","match.group(\"namespace\") numSplits = 0 success = False time_taken = 0 error = \"Jumbo\"","(?P<csrsName>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match: csrs_info = (match.group('csrsName'), match.group('replSetMembers')) self._csrs = csrs_info else:","\"\"\" if not self._end: self._calculate_bounds() return self._end @property def timezone(self): \"\"\"Lazy evaluation of","self._hostname = match.group('host') self._port = match.group('port') \"\"\" For 3.0 the \"[initandlisten] options:\" long","state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue if \"[rsMgr] replSet\" in line: tokens","if not self._end: self._calculate_bounds() return self._end @property def timezone(self): \"\"\"Lazy evaluation of timezone","if match: self._repl_set_protocol = match.group('replSetProtocol') match = re.search('members: (?P<replSetMembers>[^]]+ ])', line) if match:","'SECONDARY', 'DOWN', 'STARTUP', 'STARTUP2', 'RECOVERING', 'ROLLBACK', 'ARBITER', 'UNKNOWN']) def __len__(self): \"\"\"Return the number","self.num_lines def _iterate_lines(self): \"\"\"Count number of lines (can be expensive).\"\"\" self._num_lines = 0","file wrapper class. Handles open file streams or stdin.\"\"\" def __init__(self, filehandle): \"\"\"Provide","self._iterate_lines() return self._num_lines @property def restarts(self): \"\"\"Lazy evaluation of all restarts.\"\"\" if not","self._chunks_moved_from: self._find_sharding_info() return self._chunks_moved_from @property def chunk_splits(self): \"\"\"Lazily return the chunks split in","self._chunk_splits = [] prev_line = \"\" for line in self.filehandle: if isinstance(line, bytes):","= re.search(', protocolVersion: (?P<replSetProtocol>\\d+), ', line) if match: self._repl_set_protocol = match.group('replSetProtocol') match =","first line that would otherwise match (as it consumes the log line). \"\"\"","self._bounds_calculated = True return True def _find_curr_line(self, prev=False): \"\"\" Internal helper function. Find","else: pos = 6 rs_state = ' '.join(tokens[pos:]) state = (host, rs_state, LogEvent(line))","python3 from __future__ import print_function import os import re import sys from datetime","2 and (le.datetime is None or le.datetime >= start_dt): self.filehandle.seek(-2, 1) le =","object for each line (generator). \"\"\" le = None while True: try: le","if self._hostname: host = self._hostname + ':' + self._port else: host = os.path.basename(self.name)","# fast bisection path max_mark = self.filesize step_size = max_mark # check if","\\[(?P<range>.*)\\) \" 'in namespace (?P<namespace>\\S+)' ' :: caused by :: (?P<error>\\S+): ', line)","'RECOVERING', 'ROLLBACK', 'ARBITER', 'UNKNOWN']) def __len__(self): \"\"\"Return the number of lines in a","return self._year_rollover @property def num_lines(self): \"\"\" Lazy evaluation of the number of lines.","date if (self._start is None): raise SystemExit(\"Error: <%s> does not appear to be","'ROLLBACK', 'ARBITER', 'UNKNOWN']) def __len__(self): \"\"\"Return the number of lines in a log","# reset logfile self.filehandle.seek(0) def fast_forward(self, start_dt): \"\"\" Fast-forward file to given start_dt","success = False time_taken = 0 error = match.group(\"error\") self._chunk_splits.append((time, split_range, namespace, numSplits,","self.filehandle.tell() # jump back 15k characters (at most) and find last newline char","before starting to iterate, # including potential year rollovers self._calculate_bounds() @property def start(self):","self._find_sharding_info() return self._chunk_splits def next(self): \"\"\"Get next line, adjust for year rollover and","self.binary == \"mongos\": if \"Starting new replica set monitor for\" in line: if","match.group(\"range\") namespace = match.group(\"namespace\") numSplits = 0 success = False time_taken = 0","date for stdin input if not self.start and self.from_stdin: if le and le.datetime:","logfile. Returns None for stdin input currently. \"\"\" if self.from_stdin: return None if","SystemExit(\"Error: <%s> does not appear to be a supported \" \"MongoDB log file","if match: if self._csrs and match.group('replSet') != self._csrs[0]: self._shards.append(( match.group('replSet'), match.group('replSetMembers') )) elif","])', line) if match: self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if \"Starting new","if self.from_stdin: return None if not self._filesize: self._calculate_bounds() return self._filesize @property def datetime_format(self):","[] self._chunks_moved_from = [] self._chunks_moved_to = [] self._chunk_splits = [] prev_line = \"\"","end of logfile. Returns None for stdin input currently. \"\"\" if self.from_stdin: return","elif not self._csrs: self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if \"moveChunk.from\" in line:","to show before/after the log offset error_context = 300 self.filehandle.seek(-error_context, 1) buff =","= [] ln = 0 for ln, line in enumerate(self.filehandle): if isinstance(line, bytes):","max_start_lines max_start_lines = 10 lines_checked = 0 # get start datetime for line","None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \"splitVector\" in line: logevent","' (?P<range>min:.*), max.*op_msg (?P<time_taken>\\d+)', line) if match: time = logevent.datetime split_range = match.group(\"range\")","\"\"\"Lazy evaluation of timezone of logfile.\"\"\" if not self._timezone: self._calculate_bounds() return self._timezone @property","self._csrs @property def chunks_moved_to(self): \"\"\"Lazily return the chunks moved to this shard (if","= re.search('ns: \"(?P<namespace>\\S+)\".*' 'details: { (?P<range>.*\\}).*.*note: \"(?P<note>\\S+)\"', line) if match: time = logevent.datetime","if isinstance(line, bytes): line = line.decode(\"utf-8\", \"replace\") if self.binary == \"mongos\": if \"Starting","match = re.search(\"for (?P<shardName>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match: shard_info = (match.group('shardName'), match.group('replSetMembers')) self._shards.append(shard_info)","file based on the current seek position. \"\"\" curr_pos = self.filehandle.tell() # jump","self.from_stdin: if le and le.datetime: self._start = le.datetime try: yield le except StopIteration:","present in 3.0, but would now tell us definitively that wiredTiger is being","\"db version v\" in logevent.line_str): self._binary = 'mongod' elif logevent.thread == 'mongosMain' and","numSplits = 0 success = False time_taken = 0 error = \"Jumbo\" self._chunk_splits.append((time,","= self.next() while not logevent.datetime: logevent = self.next() return logevent except StopIteration: #","step_size = ceil(step_size / 2.) self.filehandle.seek(step_size, 1) le = self._find_curr_line() if not le:","self._find_curr_line() if not le: break if le.datetime >= start_dt: step_size = -abs(step_size) else:","has any level lines.\"\"\" if self._has_level is None: self._iterate_lines() return self._has_level @property def","logevent = LogEvent(line) match = re.search('ns: \"(?P<namespace>\\S+)\".*' 'details: { (?P<range>.*\\}).*' 'to: \"(?P<movedTo>\\S+)\".*note: \"(?P<note>\\S+)\"',","match.group('numSplits') success = None time_taken = 0 error = None self._chunk_splits.append((time, split_range, namespace,","while self.filehandle.tell() >= 2 and (le.datetime is None or le.datetime >= start_dt): self.filehandle.seek(-2,","le: return # now walk backwards until we found a truly smaller line","return self._datetime_format @property def has_level(self): \"\"\"Lazy evaluation of the whether the logfile has","match.group('replSetMembers') # Replica set config logging in MongoDB 3.0+ new_config = (\"New replica","\"\"\" Iterate over file and find any sharding related information \"\"\" self._shards =","re.search(':: caused by :: (?P<errmsg>\\S+):', prev_line) steps = None if match: errmsg =","\"\"\" Internal helper function. Find the current (or previous if prev=True) line in","self._timezone @property def filesize(self): \"\"\" Lazy evaluation of start and end of logfile.","logfile. Returns None for stdin input currently. \"\"\" if not self._end: self._calculate_bounds() return","= match.group('engine') else: self._storage_engine = 'mmapv1' \"\"\" For 3.2 the \"[initandlisten] options:\" no","match.group('namespace') # TODO: alter this to find moved from shard name when SERVER-45770","self._start: self._start = self._start.replace(year=self._start.year - 1) self._year_rollover = self._end else: self._year_rollover = False","self._datetime_format = None self._datetime_nextpos = None elif le.datetime: # gather new hint info","currently. \"\"\" if not self._start: self._calculate_bounds() return self._start @property def end(self): \"\"\" Lazy","match: self._repl_set_protocol = match.group('replSetProtocol') match = re.search('members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set_members","= None self._binary = None self._timezone = None self._hostname = None self._port =","not ret: # logevent indicates timestamp format has changed, # invalidate hint info","self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \"jumbo\" in line: logevent =","admin.$cmd command: { replSetInitiate:\" in line: match = re.search('{ _id: \"(?P<replSet>\\S+)\", ' 'members:","\"\"\"Return the replSet (if available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set_members @property def","bound while abs(step_size) > 100: step_size = ceil(step_size / 2.) self.filehandle.seek(step_size, 1) le","= re.search(\"for (?P<csrsName>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match: csrs_info = (match.group('csrsName'), match.group('replSetMembers')) self._csrs =","= csrs_info else: match = re.search(\"for (?P<shardName>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match: shard_info =","errmsg = match.group('errmsg') else: errmsg = \"Unknown\" chunk_migration = (time, chunk_range, moved_to, namespace,","else: steps = None match = re.search('errmsg: \"(?P<errmsg>.*)\"', line) if match: errmsg =","= None elif le.datetime: # gather new hint info from another logevent self._datetime_format","v != versions[-1]: versions.append(v) return versions @property def repl_set(self): \"\"\"Return the replSet (if","\"replace\") if self.binary == \"mongos\": if \"Starting new replica set monitor for\" in","errmsg = None steps = re.findall('(?P<steps>step \\d of \\d): (?P<stepTimes>\\d+)', line) else: steps","def year_rollover(self): \"\"\"Lazy evaluation of the datetime format.\"\"\" if self._year_rollover is None: self._calculate_bounds()","else: # fast bisection path max_mark = self.filesize step_size = max_mark # check","def __init__(self, filehandle): \"\"\"Provide logfile as open file stream or stdin.\"\"\" self.filehandle =","self.filehandle: logevent = LogEvent(line) lines_checked += 1 if logevent.datetime: self._start = logevent.datetime self._timezone","= None self._csrs = None self._chunks_moved_from = None self._chunks_moved_to = None self._chunk_splits =","False # we should be able to find a valid log line within","year_rollover(self): \"\"\"Lazy evaluation of the datetime format.\"\"\" if self._year_rollover is None: self._calculate_bounds() return","max_mark # check if start_dt is already smaller than first datetime self.filehandle.seek(0) le","changed, # invalidate hint info self._datetime_format = None self._datetime_nextpos = None elif le.datetime:","self.next() while not logevent.datetime: logevent = self.next() return logevent except StopIteration: # reached","line: match = re.search('{ _id: \"(?P<replSet>\\S+)\", ' 'version: (?P<replSetVersion>\\d+), ', line) if match:","stdin input currently. \"\"\" if self.from_stdin: return None if not self._num_lines: self._iterate_lines() return","roll forward until we found a line with a datetime try: logevent =","None self._csrs = None self._chunks_moved_from = None self._chunks_moved_to = None self._chunk_splits = None","the shards (if available)\"\"\" if not self._shards: self._find_sharding_info() return self._shards @property def csrs(self):","\"mongod\": logevent = LogEvent(line) if \"New replica set config in use\" in line:","because next() iterator uses internal readahead # buffer so seek position is wrong","need to recalc bounds for lifetime of a Logfile object return if self.from_stdin:","the \"[initandlisten] options:\" no longer contains the \"engine\" field So now we have","in line: match = re.search('{ _id: \"(?P<replSet>\\S+)\", ' 'version: (?P<replSetVersion>\\d+), ', line) if","in LogEvent.log_levels and line[31:39].strip() in LogEvent.log_components): self._has_level = True # find version string","not self._num_lines: self._iterate_lines() return self._binary @property def hostname(self): \"\"\"Lazy evaluation of the binary","return None def _find_sharding_info(self): \"\"\" Iterate over file and find any sharding related","self._year_rollover = self._end else: self._year_rollover = False # reset logfile self.filehandle.seek(0) self._bounds_calculated =","re.search('replSet: \"(?P<replSet>\\S+)\"', line) if match: self._repl_set = match.group('replSet') match = re.search('engine: \"(?P<engine>\\S+)\"', line)","is added moved_from = \"Unknown\" note = match.group('note') if note == \"success\": errmsg","lower bound while abs(step_size) > 100: step_size = ceil(step_size / 2.) self.filehandle.seek(step_size, 1)","\"\"\"Lazy evaluation of the binary name.\"\"\" if not self._num_lines: self._iterate_lines() return self._binary @property","1 # reset logfile self.filehandle.seek(0) def _check_for_restart(self, logevent): if (logevent.thread == 'initandlisten' and","return self._hostname @property def port(self): \"\"\"Lazy evaluation of the binary name.\"\"\" if not","field if WiredTiger was the storage engine. There were only two engines, MMAPv1","in line: logevent = LogEvent(line) match = re.search('for (?P<namespace>\\S+).*' 'numSplits: (?P<numSplits>\\d+)', line) if","= (time, chunk_range, moved_to, namespace, steps, note, errmsg) self._chunks_moved_from.append(chunk_migration) if \"moveChunk.to\" in line:","versions.append(v) return versions @property def repl_set(self): \"\"\"Return the replSet (if available).\"\"\" if not","for hostname, port match = re.search('port=(?P<port>\\d+).*host=(?P<host>\\S+)', line) if match: self._hostname = match.group('host') self._port","recalc bounds for lifetime of a Logfile object return if self.from_stdin: return False","shard (if available)\"\"\" if not self._chunks_moved_to: self._find_sharding_info() return self._chunks_moved_to @property def chunks_moved_from(self): \"\"\"Lazily","chunk\" in line: logevent = LogEvent(line) match = re.search(\"chunk \\[(?P<range>.*)\\) \" 'in namespace","re.search('port=(?P<port>\\d+).*host=(?P<host>\\S+)', line) if match: self._hostname = match.group('host') self._port = match.group('port') \"\"\" For 3.0","import InputSource from mtools.util.logevent import LogEvent class LogFile(InputSource): \"\"\"Log file wrapper class. Handles","reversed(self.filehandle.readlines()): logevent = LogEvent(line) if logevent.datetime: self._end = logevent.datetime break # if there","= (match.group('csrsName'), match.group('replSetMembers')) self._csrs = csrs_info else: match = re.search(\"for (?P<shardName>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line)","def next(self): \"\"\"Get next line, adjust for year rollover and hint datetime format.\"\"\"","line in self.filehandle: if isinstance(line, bytes): line = line.decode(\"utf-8\", \"replace\") if self.binary ==","if not self._num_lines: self._iterate_lines() return self._repl_set_version @property def repl_set_protocol(self): \"\"\"Return the replSet protocolVersion","\") if new_config in line: match = re.search('{ _id: \"(?P<replSet>\\S+)\", ' 'version: (?P<replSetVersion>\\d+),","if not self._num_lines: self._iterate_lines() return self._rs_state @property def binary(self): \"\"\"Lazy evaluation of the","def chunks_moved_from(self): \"\"\"Lazily return the chunks moved from this shard (if available)\"\"\" if","in line: logevent = LogEvent(line) match = re.search(\"chunk \\[(?P<range>.*)\\) \" 'in namespace (?P<namespace>\\S+)'","if not self.from_stdin: self.filehandle.seek(0) # return (instead of raising StopIteration exception) per PEP","not self._shards: self._find_sharding_info() return self._shards @property def csrs(self): \"\"\"Lazily return the CSRS (if","def _iterate_lines(self): \"\"\"Count number of lines (can be expensive).\"\"\" self._num_lines = 0 self._restarts","@property def repl_set_members(self): \"\"\"Return the replSet (if available).\"\"\" if not self._num_lines: self._iterate_lines() return","of raising StopIteration exception) per PEP 479 return # get start date for","not self._chunks_moved_to: self._find_sharding_info() return self._chunks_moved_to @property def chunks_moved_from(self): \"\"\"Lazily return the chunks moved","set monitor for\" in line: if \"[mongosMain]\" in line: match = re.search(\"for (?P<csrsName>\\w+)/\"",")) elif not self._csrs: self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if \"moveChunk.from\" in","= ceil(step_size / 2.) self.filehandle.seek(step_size, 1) le = self._find_curr_line() if not le: break","moved_to = match.group('movedTo') note = match.group('note') if note == \"success\": errmsg = None","previous line if self._datetime_format and self._datetime_nextpos is not None: ret = le.set_datetime_hint(self._datetime_format, self._datetime_nextpos,","# skip lines until start_dt is reached return else: # fast bisection path","namespace, steps, note, errmsg) self._chunks_moved_to.append(chunk_migration) if \"Finding the split vector for\" in line:","def csrs(self): \"\"\"Lazily return the CSRS (if available)\"\"\" if not self._csrs: self._find_sharding_info() return","no longer contains the \"engine\" field So now we have to look for","trying to find previous \" \"log line near offset %s in %s:\\n\\n%s\\n%s\\n\" \"<---","make sure we catch one) self.filehandle.seek(0, 2) self._filesize = self.filehandle.tell() self.filehandle.seek(-min(self._filesize, 30000), 2)","move back to last newline char if newline_pos == -1: self.filehandle.seek(0) return self.next()","LogFile object. Return a LogEvent object for each line (generator). \"\"\" le =","log file, get end date if not self.end and self.from_stdin: if le and","time_taken = 0 error = None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error))","0 success = True error = None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken,","return logevent except StopIteration: # reached end of file return None def _find_sharding_info(self):","= None steps = re.findall('(?P<steps>step \\d of \\d): (?P<stepTimes>\\d+)', line) else: match =","input currently. \"\"\" if not self._start: self._calculate_bounds() return self._start @property def end(self): \"\"\"","tokens = line.split() # 2.6 if tokens[1].endswith(']'): pos = 4 else: pos =","success, time_taken, error)) prev_line = line # reset logfile self.filehandle.seek(0) def fast_forward(self, start_dt):","logevent.line_str) if version: version = version.group(1) return version else: return False def _calculate_bounds(self):","= None self._chunk_splits = None # Track previous file position for loop detection","\"[mongosMain]\" in line: match = re.search(\"for (?P<csrsName>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match: csrs_info =","if \"New replica set config in use\" in line: if \"configsvr: true\" in","(can be expensive).\"\"\" self._num_lines = 0 self._restarts = [] self._rs_state = [] ln","line) if match: time = logevent.datetime chunk_range = match.group('range') namespace = match.group('namespace') #","search. Only fast for files. Streams need to be forwarded manually, and it","if match: self._hostname = match.group('host') self._port = match.group('port') \"\"\" For 3.0 the \"[initandlisten]",">= 2 and (le.datetime is None or le.datetime >= start_dt): self.filehandle.seek(-2, 1) le","(fast check to eliminate most lines) if \"version\" in line[:100]: logevent = LogEvent(line)","next line, adjust for year rollover and hint datetime format.\"\"\" # use readline","line: logevent = LogEvent(line) match = re.search('splitVector: \"(?P<namespace>\\S+)\".*,' ' (?P<range>min:.*), max.*op_msg (?P<time_taken>\\d+)', line)","and le.datetime: self._start = le.datetime try: yield le except StopIteration: return states =","LogEvent(line) restart = self._check_for_restart(logevent) if restart: self._restarts.append((restart, logevent)) if \"starting :\" in line","= 10 lines_checked = 0 # get start datetime for line in self.filehandle:","state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue self._num_lines = ln + 1 #","newline_pos = buff[:newline_pos].rfind('\\n') # move back to last newline char if newline_pos ==","in line: self._storage_engine = 'wiredTiger' if \"command admin.$cmd command: { replSetInitiate:\" in line:","related information \"\"\" self._shards = [] self._chunks_moved_from = [] self._chunks_moved_to = [] self._chunk_splits","indicates timestamp format has changed, # invalidate hint info self._datetime_format = None self._datetime_nextpos","match.group('replSetMembers') # if (\"is now in state\" in line and # next(state for","self._hostname @property def port(self): \"\"\"Lazy evaluation of the binary name.\"\"\" if not self._num_lines:","match: errmsg = match.group('errmsg') else: errmsg = \"Unknown\" chunk_migration = (time, chunk_range, moved_to,","hr = \"-\" * 60 print(\"Fatal log parsing loop detected trying to find","= 0 error = None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif","line within max_start_lines max_start_lines = 10 lines_checked = 0 # get start datetime","= match.group(\"range\") namespace = match.group(\"namespace\") time_taken = match.group(\"time_taken\") numSplits = 0 success =","= filehandle.name self.from_stdin = filehandle.name == \"<stdin>\" self._bounds_calculated = False self._start = None","return the CSRS (if available)\"\"\" if not self._csrs: self._find_sharding_info() return self._csrs @property def","__init__(self, filehandle): \"\"\"Provide logfile as open file stream or stdin.\"\"\" self.filehandle = filehandle","storage_engine(self): \"\"\"Return storage engine if available.\"\"\" if not self._num_lines: self._iterate_lines() return self._storage_engine @property","previous if prev=True) line in a log file based on the current seek","year from start time if self._end < self._start: self._start = self._start.replace(year=self._start.year - 1)","# reset logfile self.filehandle.seek(0) self._bounds_calculated = True return True def _find_curr_line(self, prev=False): \"\"\"","= le.set_datetime_hint(self._datetime_format, self._datetime_nextpos, self.year_rollover) if not ret: # logevent indicates timestamp format has","versions(self): \"\"\"Return all version changes.\"\"\" versions = [] for v, _ in self.restarts:","if self._has_level is None: self._iterate_lines() return self._has_level @property def year_rollover(self): \"\"\"Lazy evaluation of","start time if self._end < self._start: self._start = self._start.replace(year=self._start.year - 1) self._year_rollover =","to eliminate most lines) if \"version\" in line[:100]: logevent = LogEvent(line) restart =","le._datetime_nextpos return le def __iter__(self): \"\"\" Iterate over LogFile object. Return a LogEvent","in self.restarts: if len(versions) == 0 or v != versions[-1]: versions.append(v) return versions","tokens = line.split() if self._hostname: host = self._hostname + ':' + self._port else:","if prev=True) line in a log file based on the current seek position.","file stream or stdin.\"\"\" self.filehandle = filehandle self.name = filehandle.name self.from_stdin = filehandle.name","replica set monitor for\" in line: if \"[mongosMain]\" in line: match = re.search(\"for","min(self.filehandle.tell(), 15000) self.filehandle.seek(-jump_back, 1) buff = self.filehandle.read(jump_back) self.filehandle.seek(curr_pos, 0) if prev and self.prev_pos","isinstance(line, bytes): line = line.decode(\"utf-8\", \"replace\") if self.binary == \"mongos\": if \"Starting new","namespace, steps, note, errmsg) self._chunks_moved_from.append(chunk_migration) if \"moveChunk.to\" in line: logevent = LogEvent(line) match","= None self._filesize = None self._num_lines = None self._restarts = None self._binary =","= self.filehandle.readline() if isinstance(line, bytes): line = line.decode('utf-8', 'replace') if line == '':","buff.decode(\"utf-8\", \"replace\") newline_pos = buff.rfind('\\n') if prev: newline_pos = buff[:newline_pos].rfind('\\n') # move back","\"\"\" Iterate over LogFile object. Return a LogEvent object for each line (generator).","new_config in line: match = re.search('{ _id: \"(?P<replSet>\\S+)\", ' 'version: (?P<replSetVersion>\\d+), ', line)","is not None and self.prev_pos == curr_pos: # Number of characters to show","namespace = match.group(\"namespace\") numSplits = 0 success = False time_taken = 0 error","line) if match: self._repl_set_protocol = match.group('replSetProtocol') match = re.search('members: (?P<replSetMembers>[^]]+ ])', line) if","if not self._chunks_moved_from: self._find_sharding_info() return self._chunks_moved_from @property def chunk_splits(self): \"\"\"Lazily return the chunks","= None while True: try: le = self.next() except StopIteration as e: #","self._port else: host = os.path.basename(self.name) host += ' (self)' if tokens[-1] in self.states:","= os.path.basename(self.name) host += ' (self)' if tokens[-1] in self.states: rs_state = tokens[-1]","\"\"\"Lazy evaluation of the whether the logfile has any level lines.\"\"\" if self._has_level","= 0 # get start datetime for line in self.filehandle: logevent = LogEvent(line)","isinstance(buff, bytes): buff = buff.decode(\"utf-8\", \"replace\") newline_pos = buff.rfind('\\n') if prev: newline_pos =","self._chunks_moved_to @property def chunks_moved_from(self): \"\"\"Lazily return the chunks moved from this shard (if","self._iterate_lines() return self._repl_set_protocol @property def storage_engine(self): \"\"\"Return storage engine if available.\"\"\" if not","check to eliminate most lines) if \"version\" in line[:100]: logevent = LogEvent(line) restart","line = line.decode('utf-8', 'replace') if line == '': raise StopIteration line = line.rstrip('\\n')","# 2.6 if tokens[1].endswith(']'): pos = 2 else: pos = 6 rs_state =","if len(versions) == 0 or v != versions[-1]: versions.append(v) return versions @property def","[] self._rs_state = [] ln = 0 for ln, line in enumerate(self.filehandle): if","# if (\"is now in state\" in line and # next(state for state","= None self._timezone = None self._hostname = None self._port = None self._rs_state =","= match.group('replSetProtocol') match = re.search('members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set_members = match.group('replSetMembers')","consumes the log line). \"\"\" if self.from_stdin: # skip lines until start_dt is","import LogEvent class LogFile(InputSource): \"\"\"Log file wrapper class. Handles open file streams or","WiredTiger was the storage engine. There were only two engines, MMAPv1 and WiredTiger","self.filehandle.seek(newline_pos - jump_back + 1, 1) # roll forward until we found a","(current log parsing offset) \\n%s\\n%s\\n\" % (curr_pos, self.name, hr, buff[:error_context], buff[error_context:error_context + 1],","\"(?P<engine>\\S+)\"', line) if match: self._storage_engine = match.group('engine') else: self._storage_engine = 'mmapv1' \"\"\" For","get start date for stdin input if not self.start and self.from_stdin: if le","moved_from, namespace, steps, note, errmsg) self._chunks_moved_to.append(chunk_migration) if \"Finding the split vector for\" in","the chunks moved to this shard (if available)\"\"\" if not self._chunks_moved_to: self._find_sharding_info() return","__future__ import print_function import os import re import sys from datetime import datetime","elif le.datetime: # gather new hint info from another logevent self._datetime_format = le.datetime_format","= (match.group('shardName'), match.group('replSetMembers')) self._shards.append(shard_info) elif self.binary == \"mongod\": logevent = LogEvent(line) if \"New","= filehandle self.name = filehandle.name self.from_stdin = filehandle.name == \"<stdin>\" self._bounds_calculated = False","in self.filehandle: if isinstance(line, bytes): line = line.decode(\"utf-8\", \"replace\") if self.binary == \"mongos\":","\"(?P<replSetMembers>\\S+)\", line) if match: csrs_info = (match.group('csrsName'), match.group('replSetMembers')) self._csrs = csrs_info else: match","15k characters (at most) and find last newline char jump_back = min(self.filehandle.tell(), 15000)","le = self.next() except StopIteration as e: # end of log file, get","not self._timezone: self._calculate_bounds() return self._timezone @property def filesize(self): \"\"\" Lazy evaluation of start","log offset error_context = 300 self.filehandle.seek(-error_context, 1) buff = self.filehandle.read(curr_pos) hr = \"-\"","filesize(self): \"\"\" Lazy evaluation of start and end of logfile. Returns None for","4 else: pos = 5 host = tokens[pos] rs_state = tokens[-1] state =","self.from_stdin: return False # we should be able to find a valid log","characters (at most) and find last newline char jump_back = min(self.filehandle.tell(), 15000) self.filehandle.seek(-jump_back,","supported \" \"MongoDB log file format\" % self.filehandle.name) # get end datetime (lines","self._binary = 'mongod' elif logevent.thread == 'mongosMain' and ('MongoS' in logevent.line_str or 'mongos'","search for lower bound while abs(step_size) > 100: step_size = ceil(step_size / 2.)","are calculated before starting to iterate, # including potential year rollovers self._calculate_bounds() @property","True def _find_curr_line(self, prev=False): \"\"\" Internal helper function. Find the current (or previous","line: if \"[mongosMain]\" in line: match = re.search(\"for (?P<csrsName>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match:","line # reset logfile self.filehandle.seek(0) def fast_forward(self, start_dt): \"\"\" Fast-forward file to given","version = re.search(r'(\\d\\.\\d\\.\\d+)', logevent.line_str) if version: version = version.group(1) return version else: return","self._num_lines: self._iterate_lines() return self._repl_set_protocol @property def storage_engine(self): \"\"\"Return storage engine if available.\"\"\" if","le = LogEvent(line) # hint format and nextpos from previous line if self._datetime_format","else: pos = 5 host = tokens[pos] rs_state = tokens[-1] state = (host,","= re.search('ns: \"(?P<namespace>\\S+)\".*' 'details: { (?P<range>.*\\}).*' 'to: \"(?P<movedTo>\\S+)\".*note: \"(?P<note>\\S+)\"', line) if match: time","= re.search('members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set_members = match.group('replSetMembers') # if (\"is","self._binary = 'mongos' else: return False version = re.search(r'(\\d\\.\\d\\.\\d+)', logevent.line_str) if version: version","one) self.filehandle.seek(0, 2) self._filesize = self.filehandle.tell() self.filehandle.seek(-min(self._filesize, 30000), 2) for line in reversed(self.filehandle.readlines()):","return states = (['PRIMARY', 'SECONDARY', 'DOWN', 'STARTUP', 'STARTUP2', 'RECOVERING', 'ROLLBACK', 'ARBITER', 'UNKNOWN']) def","(?P<replSetProtocol>\\d+), ', line) if match: self._repl_set_protocol = match.group('replSetProtocol') match = re.search('members: (?P<replSetMembers>[^]]+ ])',","\"moveChunk.to\" in line: logevent = LogEvent(line) match = re.search('ns: \"(?P<namespace>\\S+)\".*' 'details: { (?P<range>.*\\}).*.*note:","shard_info = (match.group('shardName'), match.group('replSetMembers')) self._shards.append(shard_info) elif self.binary == \"mongod\": logevent = LogEvent(line) if","\\d of \\d): (?P<stepTimes>\\d+)', line) else: steps = None match = re.search('errmsg: \"(?P<errmsg>.*)\"',","end date if not self.end and self.from_stdin: if le and le.datetime: self._end =","= buff[:newline_pos].rfind('\\n') # move back to last newline char if newline_pos == -1:","2.6 if tokens[1].endswith(']'): pos = 2 else: pos = 6 rs_state = '","now in state\" in line and # next(state for state in states if","except StopIteration: return states = (['PRIMARY', 'SECONDARY', 'DOWN', 'STARTUP', 'STARTUP2', 'RECOVERING', 'ROLLBACK', 'ARBITER',","])', line) if match: self._repl_set_members = match.group('replSetMembers') # if (\"is now in state\"","year rollover and hint datetime format.\"\"\" # use readline here because next() iterator","and match.group('replSet') != self._csrs[0]: self._shards.append(( match.group('replSet'), match.group('replSetMembers') )) elif not self._csrs: self._csrs =","# jump back 15k characters (at most) and find last newline char jump_back","in %s:\\n\\n%s\\n%s\\n\" \"<--- (current log parsing offset) \\n%s\\n%s\\n\" % (curr_pos, self.name, hr, buff[:error_context],","moved to this shard (if available)\"\"\" if not self._chunks_moved_to: self._find_sharding_info() return self._chunks_moved_to @property","namespace, numSplits, success, time_taken, error)) prev_line = line # reset logfile self.filehandle.seek(0) def","= match.group('namespace') moved_to = match.group('movedTo') note = match.group('note') if note == \"success\": errmsg","get end date if not self.end and self.from_stdin: if le and le.datetime: self._end","return self._repl_set_members @property def repl_set_version(self): \"\"\"Return the replSet (if available).\"\"\" if not self._num_lines:","and WiredTiger \"\"\" if \"[initandlisten] options:\" in line: match = re.search('replSet: \"(?P<replSet>\\S+)\"', line)","self._repl_set_version @property def repl_set_protocol(self): \"\"\"Return the replSet protocolVersion (if available).\"\"\" if not self._num_lines:","\"replace\") newline_pos = buff.rfind('\\n') if prev: newline_pos = buff[:newline_pos].rfind('\\n') # move back to","newline_pos = buff.rfind('\\n') if prev: newline_pos = buff[:newline_pos].rfind('\\n') # move back to last","chunk_range, moved_from, namespace, steps, note, errmsg) self._chunks_moved_to.append(chunk_migration) if \"Finding the split vector for\"","shards (if available)\"\"\" if not self._shards: self._find_sharding_info() return self._shards @property def csrs(self): \"\"\"Lazily","in 3.0, but would now tell us definitively that wiredTiger is being used","2.6 if tokens[1].endswith(']'): pos = 4 else: pos = 5 host = tokens[pos]","self._num_lines: self._iterate_lines() return self._rs_state @property def binary(self): \"\"\"Lazy evaluation of the binary name.\"\"\"","host = self._hostname + ':' + self._port else: host = os.path.basename(self.name) host +=","= match.group('replSetVersion') match = re.search(', protocolVersion: (?P<replSetProtocol>\\d+), ', line) if match: self._repl_set_protocol =","match.group('replSet'), match.group('replSetMembers') )) elif not self._csrs: self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if","time = logevent.datetime chunk_range = match.group('range') namespace = match.group('namespace') moved_to = match.group('movedTo') note","datetime_format(self): \"\"\"Lazy evaluation of the datetime format.\"\"\" if not self._datetime_format: self._calculate_bounds() return self._datetime_format","# look for hostname, port match = re.search('port=(?P<port>\\d+).*host=(?P<host>\\S+)', line) if match: self._hostname =","nextpos from previous line if self._datetime_format and self._datetime_nextpos is not None: ret =","not self._num_lines: self._iterate_lines() return self._repl_set_protocol @property def storage_engine(self): \"\"\"Return storage engine if available.\"\"\"","and self.from_stdin: if le and le.datetime: self._end = le.datetime # future iterations start","# Replica set config logging in MongoDB 3.0+ new_config = (\"New replica set","this shard (if available)\"\"\" if not self._chunks_moved_to: self._find_sharding_info() return self._chunks_moved_to @property def chunks_moved_from(self):","to be a supported \" \"MongoDB log file format\" % self.filehandle.name) # get","re.search('members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set_members = match.group('replSetMembers') # if (\"is now","was present in 3.0, but would now tell us definitively that wiredTiger is","protocolVersion (if available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set_protocol @property def storage_engine(self): \"\"\"Return","= tokens[-1] state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue if \"[rsMgr] replSet\" in","options\" % self.filehandle.name) else: self.prev_pos = curr_pos if isinstance(buff, bytes): buff = buff.decode(\"utf-8\",","reset logfile self.filehandle.seek(0) def _check_for_restart(self, logevent): if (logevent.thread == 'initandlisten' and \"db version","with a datetime try: logevent = self.next() while not logevent.datetime: logevent = self.next()","( match.group('replSet'), match.group('replSetMembers') ) if \"moveChunk.from\" in line: logevent = LogEvent(line) match =","match = re.search('{ _id: \"(?P<replSet>\\S+)\", ' 'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set","self._timezone: self._calculate_bounds() return self._timezone @property def filesize(self): \"\"\" Lazy evaluation of start and","the number of lines. Returns None for stdin input currently. \"\"\" if self.from_stdin:","= [] for v, _ in self.restarts: if len(versions) == 0 or v","StopIteration line = line.rstrip('\\n') le = LogEvent(line) # hint format and nextpos from","line = line.decode(\"utf-8\", \"replace\") if (self._has_level is None and line[28:31].strip() in LogEvent.log_levels and","# now walk backwards until we found a truly smaller line while self.filehandle.tell()","match = re.search('port=(?P<port>\\d+).*host=(?P<host>\\S+)', line) if match: self._hostname = match.group('host') self._port = match.group('port') \"\"\"","and end of logfile. Returns None for stdin input currently. \"\"\" if self.from_stdin:","line: tokens = line.split() # 2.6 if tokens[1].endswith(']'): pos = 4 else: pos","if start_dt is already smaller than first datetime self.filehandle.seek(0) le = self.next() if","self._rs_state.append(state) continue self._num_lines = ln + 1 # reset logfile self.filehandle.seek(0) def _check_for_restart(self,","of logfile.\"\"\" if self._bounds_calculated: # Assume no need to recalc bounds for lifetime","self._port @property def versions(self): \"\"\"Return all version changes.\"\"\" versions = [] for v,","self._rs_state = [] ln = 0 for ln, line in enumerate(self.filehandle): if isinstance(line,","state in states if line.endswith(state))): if \"is now in state\" in line: tokens","line) if match: shard_info = (match.group('shardName'), match.group('replSetMembers')) self._shards.append(shard_info) elif self.binary == \"mongod\": logevent","re.search('engine: \"(?P<engine>\\S+)\"', line) if match: self._storage_engine = match.group('engine') else: self._storage_engine = 'mmapv1' \"\"\"","from previous line if self._datetime_format and self._datetime_nextpos is not None: ret = le.set_datetime_hint(self._datetime_format,","le.datetime: self._start = le.datetime try: yield le except StopIteration: return states = (['PRIMARY',","shard (if available)\"\"\" if not self._chunk_splits: self._find_sharding_info() return self._chunk_splits def next(self): \"\"\"Get next","repl_set_protocol(self): \"\"\"Return the replSet protocolVersion (if available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set_protocol","for lifetime of a Logfile object return if self.from_stdin: return False # we","le.set_datetime_hint(self._datetime_format, self._datetime_nextpos, self.year_rollover) if not ret: # logevent indicates timestamp format has changed,","in line: logevent = LogEvent(line) match = re.search('splitVector: \"(?P<namespace>\\S+)\".*,' ' (?P<range>min:.*), max.*op_msg (?P<time_taken>\\d+)',","if le and le.datetime: self._end = le.datetime # future iterations start from the","should be able to find a valid log line within max_start_lines max_start_lines =","a LogEvent object for each line (generator). \"\"\" le = None while True:","= LogEvent(line) lines_checked += 1 if logevent.datetime: self._start = logevent.datetime self._timezone = logevent.datetime.tzinfo","self._start = le.datetime try: yield le except StopIteration: return states = (['PRIMARY', 'SECONDARY',","= match.group('range') namespace = match.group('namespace') # TODO: alter this to find moved from","of lines (can be expensive).\"\"\" self._num_lines = 0 self._restarts = [] self._rs_state =","match.group('host') self._port = match.group('port') \"\"\" For 3.0 the \"[initandlisten] options:\" long entry contained","end(self): \"\"\" Lazy evaluation of start and end of logfile. Returns None for","line) if match: self._repl_set = match.group('replSet') match = re.search('engine: \"(?P<engine>\\S+)\"', line) if match:","to iterate, # including potential year rollovers self._calculate_bounds() @property def start(self): \"\"\" Lazy","logevent = LogEvent(line) restart = self._check_for_restart(logevent) if restart: self._restarts.append((restart, logevent)) if \"starting :\"","@property def year_rollover(self): \"\"\"Lazy evaluation of the datetime format.\"\"\" if self._year_rollover is None:","None for stdin input currently. \"\"\" if self.from_stdin: return None if not self._num_lines:","format.\"\"\" # use readline here because next() iterator uses internal readahead # buffer","return self._storage_engine @property def shards(self): \"\"\"Lazily return the shards (if available)\"\"\" if not","lifetime of a Logfile object return if self.from_stdin: return False # we should","last newline char jump_back = min(self.filehandle.tell(), 15000) self.filehandle.seek(-jump_back, 1) buff = self.filehandle.read(jump_back) self.filehandle.seek(curr_pos,","line (generator). \"\"\" le = None while True: try: le = self.next() except","in line: match = re.search('{ _id: \"(?P<replSet>\\S+)\", ' 'members: (?P<replSetMembers>[^]]+ ])', line) if","of a Logfile object return if self.from_stdin: return False # we should be","rs_state, LogEvent(line)) self._rs_state.append(state) continue self._num_lines = ln + 1 # reset logfile self.filehandle.seek(0)","return else: # fast bisection path max_mark = self.filesize step_size = max_mark #","(host, rs_state, LogEvent(line)) self._rs_state.append(state) continue if \"[rsMgr] replSet\" in line: tokens = line.split()","evaluation of the datetime format.\"\"\" if not self._datetime_format: self._calculate_bounds() return self._datetime_format @property def","input if not self.start and self.from_stdin: if le and le.datetime: self._start = le.datetime","self._num_lines: self._iterate_lines() return self._restarts @property def rs_state(self): \"\"\"Lazy evaluation of all restarts.\"\"\" if","if not self.start and self.from_stdin: if le and le.datetime: self._start = le.datetime try:","self._calculate_bounds() return self._end @property def timezone(self): \"\"\"Lazy evaluation of timezone of logfile.\"\"\" if","1 year from start time if self._end < self._start: self._start = self._start.replace(year=self._start.year -",":: (?P<error>\\S+): ', line) if match: time = logevent.datetime split_range = match.group(\"range\") namespace","def __iter__(self): \"\"\" Iterate over LogFile object. Return a LogEvent object for each","self.from_stdin: return None if not self._num_lines: self._iterate_lines() return self._num_lines @property def restarts(self): \"\"\"Lazy","format.\"\"\" if not self._datetime_format: self._calculate_bounds() return self._datetime_format @property def has_level(self): \"\"\"Lazy evaluation of","if not self._num_lines: self._iterate_lines() return self._hostname @property def port(self): \"\"\"Lazy evaluation of the","= ln + 1 # reset logfile self.filehandle.seek(0) def _check_for_restart(self, logevent): if (logevent.thread","re.search(\"chunk \\[(?P<range>.*)\\) \" 'in namespace (?P<namespace>\\S+)' ' :: caused by :: (?P<error>\\S+): ',","in line: if \"configsvr: true\" in line: match = re.search(' _id: \"(?P<replSet>\\S+)\".*' 'members:","= None self._repl_set_protocol = None self._storage_engine = None self._datetime_format = None self._year_rollover =","return le = None self.filehandle.seek(0) # search for lower bound while abs(step_size) >","= 5 host = tokens[pos] rs_state = tokens[-1] state = (host, rs_state, LogEvent(line))","self._num_lines: self._iterate_lines() return self._hostname @property def port(self): \"\"\"Lazy evaluation of the binary name.\"\"\"","self._has_level is None: self._iterate_lines() return self._has_level @property def year_rollover(self): \"\"\"Lazy evaluation of the","version.group(1) return version else: return False def _calculate_bounds(self): \"\"\"Calculate beginning and end of","line = self.filehandle.readline() if isinstance(line, bytes): line = line.decode('utf-8', 'replace') if line ==","self._iterate_lines() return self._has_level @property def year_rollover(self): \"\"\"Lazy evaluation of the datetime format.\"\"\" if","import re import sys from datetime import datetime from math import ceil from","= None self._repl_set = None self._repl_set_members = None self._repl_set_version = None self._repl_set_protocol =","of logfile. Returns None for stdin input currently. \"\"\" if not self._start: self._calculate_bounds()","LogEvent(line) if logevent.datetime: self._end = logevent.datetime break # if there was a roll-over,","re.search(' _id: \"(?P<replSet>\\S+)\".*' 'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._csrs = ( match.group('replSet'),","restart = self._check_for_restart(logevent) if restart: self._restarts.append((restart, logevent)) if \"starting :\" in line or","we found a line with a datetime try: logevent = self.next() while not","new hint info from another logevent self._datetime_format = le.datetime_format self._datetime_nextpos = le._datetime_nextpos return","timezone(self): \"\"\"Lazy evaluation of timezone of logfile.\"\"\" if not self._timezone: self._calculate_bounds() return self._timezone","def __len__(self): \"\"\"Return the number of lines in a log file.\"\"\" return self.num_lines","rollovers self._calculate_bounds() @property def start(self): \"\"\" Lazy evaluation of start and end of","replSet protocolVersion (if available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set_protocol @property def storage_engine(self):","= tokens[-1] else: # 2.6 if tokens[1].endswith(']'): pos = 2 else: pos =","self._start = logevent.datetime self._timezone = logevent.datetime.tzinfo self._datetime_format = logevent.datetime_format self._datetime_nextpos = logevent._datetime_nextpos break","lines.\"\"\" if self._has_level is None: self._iterate_lines() return self._has_level @property def year_rollover(self): \"\"\"Lazy evaluation","None self._end = None self._filesize = None self._num_lines = None self._restarts = None","for loop detection in _find_curr_line() self.prev_pos = None self._has_level = None # make","+ 1], hr), file=sys.stderr) raise SystemExit(\"Cannot parse %s with requested options\" % self.filehandle.name)","None steps = re.findall('(?P<steps>step \\d of \\d): (?P<stepTimes>\\d+)', line) else: steps = None","# find version string (fast check to eliminate most lines) if \"version\" in","False time_taken = 0 error = match.group(\"error\") self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken,","here because next() iterator uses internal readahead # buffer so seek position is","time_taken = 0 error = match.group(\"error\") self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error))","from mtools.util.input_source import InputSource from mtools.util.logevent import LogEvent class LogFile(InputSource): \"\"\"Log file wrapper","longer contains the \"engine\" field So now we have to look for the","this shard (if available)\"\"\" if not self._chunk_splits: self._find_sharding_info() return self._chunk_splits def next(self): \"\"\"Get","(\"is now in state\" in line and # next(state for state in states","prev: newline_pos = buff[:newline_pos].rfind('\\n') # move back to last newline char if newline_pos","re.findall('(?P<steps>step \\d of \\d): (?P<stepTimes>\\d+)', line) else: steps = None match = re.search('errmsg:","return self._repl_set_version @property def repl_set_protocol(self): \"\"\"Return the replSet protocolVersion (if available).\"\"\" if not","use: \") if new_config in line: match = re.search('{ _id: \"(?P<replSet>\\S+)\", ' 'version:","replSet (if available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set @property def repl_set_members(self): \"\"\"Return","position. \"\"\" curr_pos = self.filehandle.tell() # jump back 15k characters (at most) and","(host, rs_state, LogEvent(line)) self._rs_state.append(state) continue self._num_lines = ln + 1 # reset logfile","the storage engine. There were only two engines, MMAPv1 and WiredTiger \"\"\" if","line) if match: errmsg = match.group('errmsg') chunk_migration = (time, chunk_range, moved_from, namespace, steps,","self._start.replace(year=self._start.year - 1) self._year_rollover = self._end else: self._year_rollover = False # reset logfile","end date if (self._start is None): raise SystemExit(\"Error: <%s> does not appear to","\"success\": errmsg = None steps = re.findall('(?P<steps>step \\d of \\d): (?P<stepTimes>\\d+)', line) else:","if self._end < self._start: self._start = self._start.replace(year=self._start.year - 1) self._year_rollover = self._end else:","line). \"\"\" if self.from_stdin: # skip lines until start_dt is reached return else:","self._end else: self._year_rollover = False # reset logfile self.filehandle.seek(0) self._bounds_calculated = True return","\"\"\"Return storage engine if available.\"\"\" if not self._num_lines: self._iterate_lines() return self._storage_engine @property def","self._year_rollover = None self._shards = None self._csrs = None self._chunks_moved_from = None self._chunks_moved_to","def _calculate_bounds(self): \"\"\"Calculate beginning and end of logfile.\"\"\" if self._bounds_calculated: # Assume no","format\" % self.filehandle.name) # get end datetime (lines are at most 10k, #","start and end of logfile. Returns None for stdin input currently. \"\"\" if","if not self._num_lines: self._iterate_lines() return self._repl_set @property def repl_set_members(self): \"\"\"Return the replSet (if","if isinstance(buff, bytes): buff = buff.decode(\"utf-8\", \"replace\") newline_pos = buff.rfind('\\n') if prev: newline_pos","number of lines in a log file.\"\"\" return self.num_lines def _iterate_lines(self): \"\"\"Count number","not self.end and self.from_stdin: if le and le.datetime: self._end = le.datetime # future","that wiredTiger is being used \"\"\" if \"[initandlisten] wiredtiger_open config:\" in line: self._storage_engine","file return None def _find_sharding_info(self): \"\"\" Iterate over file and find any sharding","hint datetime format.\"\"\" # use readline here because next() iterator uses internal readahead","in a log file.\"\"\" return self.num_lines def _iterate_lines(self): \"\"\"Count number of lines (can","engine. There were only two engines, MMAPv1 and WiredTiger \"\"\" if \"[initandlisten] options:\"","def repl_set_protocol(self): \"\"\"Return the replSet protocolVersion (if available).\"\"\" if not self._num_lines: self._iterate_lines() return","file to given start_dt datetime obj using binary search. Only fast for files.","we have to look for the \"[initandlisten] wiredtiger_open config:\" which was present in","self._hostname + ':' + self._port else: host = os.path.basename(self.name) host += ' (self)'","contained the \"engine\" field if WiredTiger was the storage engine. There were only","'mongod' elif logevent.thread == 'mongosMain' and ('MongoS' in logevent.line_str or 'mongos' in logevent.line_str):","return self._port @property def versions(self): \"\"\"Return all version changes.\"\"\" versions = [] for","format and nextpos from previous line if self._datetime_format and self._datetime_nextpos is not None:","available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set_members @property def repl_set_version(self): \"\"\"Return the replSet","not self._num_lines: self._iterate_lines() return self._repl_set_members @property def repl_set_version(self): \"\"\"Return the replSet (if available).\"\"\"","match = re.search(' _id: \"(?P<replSet>\\S+)\".*' 'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._csrs =","logging in MongoDB 3.0+ new_config = (\"New replica set config in use: \")","# Number of characters to show before/after the log offset error_context = 300","\"\"\" le = None while True: try: le = self.next() except StopIteration as","a line with a datetime try: logevent = self.next() while not logevent.datetime: logevent","\"(?P<replSetMembers>\\S+)\", line) if match: shard_info = (match.group('shardName'), match.group('replSetMembers')) self._shards.append(shard_info) elif self.binary == \"mongod\":","self._port = match.group('port') \"\"\" For 3.0 the \"[initandlisten] options:\" long entry contained the","'STARTUP', 'STARTUP2', 'RECOVERING', 'ROLLBACK', 'ARBITER', 'UNKNOWN']) def __len__(self): \"\"\"Return the number of lines","self._iterate_lines() return self._binary @property def hostname(self): \"\"\"Lazy evaluation of the binary name.\"\"\" if","self._datetime_format = le.datetime_format self._datetime_nextpos = le._datetime_nextpos return le def __iter__(self): \"\"\" Iterate over","in logevent.line_str or 'mongos' in logevent.line_str): self._binary = 'mongos' else: return False version","files. Streams need to be forwarded manually, and it will miss the first","not self._filesize: self._calculate_bounds() return self._filesize @property def datetime_format(self): \"\"\"Lazy evaluation of the datetime","(?P<error>\\S+): ', line) if match: time = logevent.datetime split_range = match.group(\"range\") namespace =","= 0 error = match.group(\"error\") self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif","self._hostname = None self._port = None self._rs_state = None self._repl_set = None self._repl_set_members","if \"moveChunk.to\" in line: logevent = LogEvent(line) match = re.search('ns: \"(?P<namespace>\\S+)\".*' 'details: {","= LogEvent(line) match = re.search('for (?P<namespace>\\S+).*' 'numSplits: (?P<numSplits>\\d+)', line) if match: time =","next(self): \"\"\"Get next line, adjust for year rollover and hint datetime format.\"\"\" #","not None: ret = le.set_datetime_hint(self._datetime_format, self._datetime_nextpos, self.year_rollover) if not ret: # logevent indicates","not self._num_lines: self._iterate_lines() return self._port @property def versions(self): \"\"\"Return all version changes.\"\"\" versions","pos = 6 rs_state = ' '.join(tokens[pos:]) state = (host, rs_state, LogEvent(line)) self._rs_state.append(state)","curr_pos if isinstance(buff, bytes): buff = buff.decode(\"utf-8\", \"replace\") newline_pos = buff.rfind('\\n') if prev:","if note == \"success\": errmsg = None steps = re.findall('(?P<steps>step \\d of \\d):","\" \"MongoDB log file format\" % self.filehandle.name) # get end datetime (lines are","def _find_curr_line(self, prev=False): \"\"\" Internal helper function. Find the current (or previous if","% (curr_pos, self.name, hr, buff[:error_context], buff[error_context:error_context + 1], hr), file=sys.stderr) raise SystemExit(\"Cannot parse","else: self.prev_pos = curr_pos if isinstance(buff, bytes): buff = buff.decode(\"utf-8\", \"replace\") newline_pos =","(?P<namespace>\\S+)' ' :: caused by :: (?P<error>\\S+): ', line) if match: time =","re.search('splitVector: \"(?P<namespace>\\S+)\".*,' ' (?P<range>min:.*), max.*op_msg (?P<time_taken>\\d+)', line) if match: time = logevent.datetime split_range","and # next(state for state in states if line.endswith(state))): if \"is now in","None self._storage_engine = None self._datetime_format = None self._year_rollover = None self._shards = None","of log file, get end date if not self.end and self.from_stdin: if le","None self._hostname = None self._port = None self._rs_state = None self._repl_set = None","= match.group('replSetMembers') # if (\"is now in state\" in line and # next(state","'.join(tokens[pos:]) state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue self._num_lines = ln + 1","\"Finding the split vector for\" in line: logevent = LogEvent(line) match = re.search('for","set config logging in MongoDB 3.0+ new_config = (\"New replica set config in","match = re.search('migration (?P<namespace>\\S+): \\[(?P<range>.*)\\)', prev_line) if match: time = logevent.datetime split_range =","\"\"\" if self.from_stdin: return None if not self._filesize: self._calculate_bounds() return self._filesize @property def","of characters to show before/after the log offset error_context = 300 self.filehandle.seek(-error_context, 1)","return the chunks moved from this shard (if available)\"\"\" if not self._chunks_moved_from: self._find_sharding_info()","match = re.search('for (?P<namespace>\\S+).*' 'numSplits: (?P<numSplits>\\d+)', line) if match: time = logevent.datetime split_range","(?P<shardName>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match: shard_info = (match.group('shardName'), match.group('replSetMembers')) self._shards.append(shard_info) elif self.binary ==","line) if match: self._repl_set_members = match.group('replSetMembers') # if (\"is now in state\" in","None self._restarts = None self._binary = None self._timezone = None self._hostname = None","= logevent._datetime_nextpos break if lines_checked > max_start_lines: break # sanity check before attempting","for files. Streams need to be forwarded manually, and it will miss the","match.group('replSet') != self._csrs[0]: self._shards.append(( match.group('replSet'), match.group('replSetMembers') )) elif not self._csrs: self._csrs = (","\"\"\" Lazy evaluation of start and end of logfile. Returns None for stdin","\\d): (?P<stepTimes>\\d+)', line) else: match = re.search(':: caused by :: (?P<errmsg>\\S+):', prev_line) steps","= None self._chunks_moved_from = None self._chunks_moved_to = None self._chunk_splits = None # Track","states = (['PRIMARY', 'SECONDARY', 'DOWN', 'STARTUP', 'STARTUP2', 'RECOVERING', 'ROLLBACK', 'ARBITER', 'UNKNOWN']) def __len__(self):","if self.from_stdin: # skip lines until start_dt is reached return else: # fast","function. Find the current (or previous if prev=True) line in a log file","0 error = match.group(\"error\") self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \"jumbo\"","of the number of lines. Returns None for stdin input currently. \"\"\" if","name.\"\"\" if not self._num_lines: self._iterate_lines() return self._hostname @property def port(self): \"\"\"Lazy evaluation of","return le def __iter__(self): \"\"\" Iterate over LogFile object. Return a LogEvent object","self._num_lines: self._iterate_lines() return self._num_lines @property def restarts(self): \"\"\"Lazy evaluation of all restarts.\"\"\" if","import sys from datetime import datetime from math import ceil from mtools.util.input_source import","otherwise match (as it consumes the log line). \"\"\" if self.from_stdin: # skip","the binary name.\"\"\" if not self._num_lines: self._iterate_lines() return self._binary @property def hostname(self): \"\"\"Lazy","self._datetime_nextpos = le._datetime_nextpos return le def __iter__(self): \"\"\" Iterate over LogFile object. Return",") if \"Starting new replica set monitor for\" in line: match = re.search(\"for","from math import ceil from mtools.util.input_source import InputSource from mtools.util.logevent import LogEvent class","self._num_lines = None self._restarts = None self._binary = None self._timezone = None self._hostname","the replSet (if available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set @property def repl_set_members(self):","'numSplits: (?P<numSplits>\\d+)', line) if match: time = logevent.datetime split_range = None namespace =","from start time if self._end < self._start: self._start = self._start.replace(year=self._start.year - 1) self._year_rollover","raise SystemExit(\"Error: <%s> does not appear to be a supported \" \"MongoDB log","make sure bounds are calculated before starting to iterate, # including potential year","le = self.next() if le.datetime and le.datetime >= start_dt: self.filehandle.seek(0) return le =","line) else: steps = None match = re.search('errmsg: \"(?P<errmsg>.*)\"', line) if match: errmsg","start_dt: self.filehandle.seek(0) return le = None self.filehandle.seek(0) # search for lower bound while","return True def _find_curr_line(self, prev=False): \"\"\" Internal helper function. Find the current (or","no need to recalc bounds for lifetime of a Logfile object return if","\"\"\"Return the replSet (if available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set_version @property def","parse %s with requested options\" % self.filehandle.name) else: self.prev_pos = curr_pos if isinstance(buff,","match.group(\"namespace\") numSplits = match.group('numSplits') success = None time_taken = 0 error = None","start date for stdin input if not self.start and self.from_stdin: if le and","char jump_back = min(self.filehandle.tell(), 15000) self.filehandle.seek(-jump_back, 1) buff = self.filehandle.read(jump_back) self.filehandle.seek(curr_pos, 0) if","engines, MMAPv1 and WiredTiger \"\"\" if \"[initandlisten] options:\" in line: match = re.search('replSet:","prev_line = line # reset logfile self.filehandle.seek(0) def fast_forward(self, start_dt): \"\"\" Fast-forward file","self._binary @property def hostname(self): \"\"\"Lazy evaluation of the binary name.\"\"\" if not self._num_lines:","if prev and self.prev_pos is not None and self.prev_pos == curr_pos: # Number","self.filehandle.seek(-jump_back, 1) buff = self.filehandle.read(jump_back) self.filehandle.seek(curr_pos, 0) if prev and self.prev_pos is not","raising StopIteration exception) per PEP 479 return # get start date for stdin","= False time_taken = 0 error = \"Jumbo\" self._chunk_splits.append((time, split_range, namespace, numSplits, success,","\"[rsMgr] replSet\" in line: tokens = line.split() if self._hostname: host = self._hostname +","for the \"[initandlisten] wiredtiger_open config:\" which was present in 3.0, but would now","time_taken, error)) elif \"jumbo\" in line: logevent = LogEvent(line) match = re.search('migration (?P<namespace>\\S+):","and it will miss the first line that would otherwise match (as it","= logevent.datetime self._timezone = logevent.datetime.tzinfo self._datetime_format = logevent.datetime_format self._datetime_nextpos = logevent._datetime_nextpos break if","return self._repl_set @property def repl_set_members(self): \"\"\"Return the replSet (if available).\"\"\" if not self._num_lines:","self._chunks_moved_to: self._find_sharding_info() return self._chunks_moved_to @property def chunks_moved_from(self): \"\"\"Lazily return the chunks moved from","we found a truly smaller line while self.filehandle.tell() >= 2 and (le.datetime is","= (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue self._num_lines = ln + 1 # reset","already smaller than first datetime self.filehandle.seek(0) le = self.next() if le.datetime and le.datetime","== '': raise StopIteration line = line.rstrip('\\n') le = LogEvent(line) # hint format","line) if match: time = logevent.datetime split_range = None namespace = match.group(\"namespace\") numSplits","match: self._storage_engine = match.group('engine') else: self._storage_engine = 'mmapv1' \"\"\" For 3.2 the \"[initandlisten]","self._find_sharding_info() return self._chunks_moved_to @property def chunks_moved_from(self): \"\"\"Lazily return the chunks moved from this","not self._start: self._calculate_bounds() return self._start @property def end(self): \"\"\" Lazy evaluation of start","_id: \"(?P<replSet>\\S+)\", ' 'version: (?P<replSetVersion>\\d+), ', line) if match: self._repl_set = match.group('replSet') self._repl_set_version","( match.group('replSet'), match.group('replSetMembers') ) if \"Starting new replica set monitor for\" in line:","False def _calculate_bounds(self): \"\"\"Calculate beginning and end of logfile.\"\"\" if self._bounds_calculated: # Assume","log file format\" % self.filehandle.name) # get end datetime (lines are at most","self.end and self.from_stdin: if le and le.datetime: self._end = le.datetime # future iterations","error = None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \"Unable to","gather new hint info from another logevent self._datetime_format = le.datetime_format self._datetime_nextpos = le._datetime_nextpos","break # sanity check before attempting to find end date if (self._start is","Number of characters to show before/after the log offset error_context = 300 self.filehandle.seek(-error_context,","' (self)' if tokens[-1] in self.states: rs_state = tokens[-1] else: # 2.6 if","So now we have to look for the \"[initandlisten] wiredtiger_open config:\" which was","# make sure bounds are calculated before starting to iterate, # including potential","check before attempting to find end date if (self._start is None): raise SystemExit(\"Error:","available.\"\"\" if not self._num_lines: self._iterate_lines() return self._storage_engine @property def shards(self): \"\"\"Lazily return the","= match.group('host') self._port = match.group('port') \"\"\" For 3.0 the \"[initandlisten] options:\" long entry","line: match = re.search('replSet: \"(?P<replSet>\\S+)\"', line) if match: self._repl_set = match.group('replSet') match =","print(\"Fatal log parsing loop detected trying to find previous \" \"log line near","line with a datetime try: logevent = self.next() while not logevent.datetime: logevent =","in line or \"starting:\" in line: # look for hostname, port match =","self._chunks_moved_to.append(chunk_migration) if \"Finding the split vector for\" in line: logevent = LogEvent(line) match","for stdin input currently. \"\"\" if not self._start: self._calculate_bounds() return self._start @property def","\"[initandlisten] options:\" long entry contained the \"engine\" field if WiredTiger was the storage","in line: # look for hostname, port match = re.search('port=(?P<port>\\d+).*host=(?P<host>\\S+)', line) if match:","time = logevent.datetime split_range = None namespace = match.group(\"namespace\") numSplits = match.group('numSplits') success","self.filehandle.seek(curr_pos, 0) if prev and self.prev_pos is not None and self.prev_pos == curr_pos:","currently. \"\"\" if self.from_stdin: return None if not self._num_lines: self._iterate_lines() return self._num_lines @property","line: match = re.search('{ _id: \"(?P<replSet>\\S+)\", ' 'members: (?P<replSetMembers>[^]]+ ])', line) if match:","the split vector for\" in line: logevent = LogEvent(line) match = re.search('for (?P<namespace>\\S+).*'","line[:100]: logevent = LogEvent(line) restart = self._check_for_restart(logevent) if restart: self._restarts.append((restart, logevent)) if \"starting","for ln, line in enumerate(self.filehandle): if isinstance(line, bytes): line = line.decode(\"utf-8\", \"replace\") if","\\d of \\d): (?P<stepTimes>\\d+)', line) else: match = re.search(':: caused by :: (?P<errmsg>\\S+):',","= None self._datetime_format = None self._year_rollover = None self._shards = None self._csrs =","found a truly smaller line while self.filehandle.tell() >= 2 and (le.datetime is None","for\" in line: if \"[mongosMain]\" in line: match = re.search(\"for (?P<csrsName>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line)","# 2.6 if tokens[1].endswith(']'): pos = 4 else: pos = 5 host =","self.filehandle.seek(0) le = self.next() if le.datetime and le.datetime >= start_dt: self.filehandle.seek(0) return le","state\" in line and # next(state for state in states if line.endswith(state))): if","the replSet protocolVersion (if available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set_protocol @property def","def shards(self): \"\"\"Lazily return the shards (if available)\"\"\" if not self._shards: self._find_sharding_info() return","\"starting:\" in line: # look for hostname, port match = re.search('port=(?P<port>\\d+).*host=(?P<host>\\S+)', line) if","lines. Returns None for stdin input currently. \"\"\" if self.from_stdin: return None if","3.0 the \"[initandlisten] options:\" long entry contained the \"engine\" field if WiredTiger was","self._end = le.datetime # future iterations start from the beginning if not self.from_stdin:","detection in _find_curr_line() self.prev_pos = None self._has_level = None # make sure bounds","_iterate_lines(self): \"\"\"Count number of lines (can be expensive).\"\"\" self._num_lines = 0 self._restarts =","match.group('replSetVersion') match = re.search(', protocolVersion: (?P<replSetProtocol>\\d+), ', line) if match: self._repl_set_protocol = match.group('replSetProtocol')","'initandlisten' and \"db version v\" in logevent.line_str): self._binary = 'mongod' elif logevent.thread ==","if new_config in line: match = re.search('{ _id: \"(?P<replSet>\\S+)\", ' 'version: (?P<replSetVersion>\\d+), ',","1 if logevent.datetime: self._start = logevent.datetime self._timezone = logevent.datetime.tzinfo self._datetime_format = logevent.datetime_format self._datetime_nextpos","hostname, port match = re.search('port=(?P<port>\\d+).*host=(?P<host>\\S+)', line) if match: self._hostname = match.group('host') self._port =","print_function import os import re import sys from datetime import datetime from math","there was a roll-over, subtract 1 year from start time if self._end <","parsing loop detected trying to find previous \" \"log line near offset %s","logevent.datetime_format self._datetime_nextpos = logevent._datetime_nextpos break if lines_checked > max_start_lines: break # sanity check","self._iterate_lines() return self._restarts @property def rs_state(self): \"\"\"Lazy evaluation of all restarts.\"\"\" if not","None self._repl_set = None self._repl_set_members = None self._repl_set_version = None self._repl_set_protocol = None","= le._datetime_nextpos return le def __iter__(self): \"\"\" Iterate over LogFile object. Return a","over LogFile object. Return a LogEvent object for each line (generator). \"\"\" le","logevent = self.next() return logevent except StopIteration: # reached end of file return","match: shard_info = (match.group('shardName'), match.group('replSetMembers')) self._shards.append(shard_info) elif self.binary == \"mongod\": logevent = LogEvent(line)","= match.group('errmsg') else: errmsg = \"Unknown\" chunk_migration = (time, chunk_range, moved_to, namespace, steps,","self.filehandle.seek(-min(self._filesize, 30000), 2) for line in reversed(self.filehandle.readlines()): logevent = LogEvent(line) if logevent.datetime: self._end","= 0 for ln, line in enumerate(self.filehandle): if isinstance(line, bytes): line = line.decode(\"utf-8\",","if version: version = version.group(1) return version else: return False def _calculate_bounds(self): \"\"\"Calculate","get end datetime (lines are at most 10k, # go back 30k at","= False # reset logfile self.filehandle.seek(0) self._bounds_calculated = True return True def _find_curr_line(self,","from shard name when SERVER-45770 TICKET is added moved_from = \"Unknown\" note =","does not appear to be a supported \" \"MongoDB log file format\" %","numSplits = 0 success = True error = None self._chunk_splits.append((time, split_range, namespace, numSplits,","pos = 2 else: pos = 6 rs_state = ' '.join(tokens[pos:]) state =","if match: errmsg = match.group('errmsg') else: errmsg = \"Unknown\" chunk_migration = (time, chunk_range,","split_range, namespace, numSplits, success, time_taken, error)) elif \"splitVector\" in line: logevent = LogEvent(line)","__iter__(self): \"\"\" Iterate over LogFile object. Return a LogEvent object for each line","datetime format.\"\"\" if not self._datetime_format: self._calculate_bounds() return self._datetime_format @property def has_level(self): \"\"\"Lazy evaluation","datetime self.filehandle.seek(0) le = self.next() if le.datetime and le.datetime >= start_dt: self.filehandle.seek(0) return","= match.group('replSet') self._repl_set_version = match.group('replSetVersion') match = re.search(', protocolVersion: (?P<replSetProtocol>\\d+), ', line) if","self.prev_pos is not None and self.prev_pos == curr_pos: # Number of characters to","self._repl_set_protocol = None self._storage_engine = None self._datetime_format = None self._year_rollover = None self._shards","None self._repl_set_members = None self._repl_set_version = None self._repl_set_protocol = None self._storage_engine = None","(if available).\"\"\" if not self._num_lines: self._iterate_lines() return self._repl_set_members @property def repl_set_version(self): \"\"\"Return the","reached end of file return None def _find_sharding_info(self): \"\"\" Iterate over file and","of lines. Returns None for stdin input currently. \"\"\" if self.from_stdin: return None","return False # we should be able to find a valid log line","stdin input currently. \"\"\" if self.from_stdin: return None if not self._filesize: self._calculate_bounds() return","= (['PRIMARY', 'SECONDARY', 'DOWN', 'STARTUP', 'STARTUP2', 'RECOVERING', 'ROLLBACK', 'ARBITER', 'UNKNOWN']) def __len__(self): \"\"\"Return","@property def shards(self): \"\"\"Lazily return the shards (if available)\"\"\" if not self._shards: self._find_sharding_info()","abs(step_size) > 100: step_size = ceil(step_size / 2.) self.filehandle.seek(step_size, 1) le = self._find_curr_line()","= LogEvent(line) match = re.search('splitVector: \"(?P<namespace>\\S+)\".*,' ' (?P<range>min:.*), max.*op_msg (?P<time_taken>\\d+)', line) if match:","contains the \"engine\" field So now we have to look for the \"[initandlisten]","evaluation of the binary name.\"\"\" if not self._num_lines: self._iterate_lines() return self._hostname @property def","wiredtiger_open config:\" in line: self._storage_engine = 'wiredTiger' if \"command admin.$cmd command: { replSetInitiate:\"","else: host = os.path.basename(self.name) host += ' (self)' if tokens[-1] in self.states: rs_state","300 self.filehandle.seek(-error_context, 1) buff = self.filehandle.read(curr_pos) hr = \"-\" * 60 print(\"Fatal log","# get start datetime for line in self.filehandle: logevent = LogEvent(line) lines_checked +=","if newline_pos == -1: self.filehandle.seek(0) return self.next() self.filehandle.seek(newline_pos - jump_back + 1, 1)","self._repl_set = match.group('replSet') self._repl_set_members = match.group('replSetMembers') # Replica set config logging in MongoDB","stdin input currently. \"\"\" if not self._end: self._calculate_bounds() return self._end @property def timezone(self):","(?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set = match.group('replSet') self._repl_set_members = match.group('replSetMembers') # Replica","rs_state(self): \"\"\"Lazy evaluation of all restarts.\"\"\" if not self._num_lines: self._iterate_lines() return self._rs_state @property","try: yield le except StopIteration: return states = (['PRIMARY', 'SECONDARY', 'DOWN', 'STARTUP', 'STARTUP2',","\"\"\"Return the number of lines in a log file.\"\"\" return self.num_lines def _iterate_lines(self):","(?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set_members = match.group('replSetMembers') # if (\"is now in","pos = 4 else: pos = 5 host = tokens[pos] rs_state = tokens[-1]","\"\"\"Calculate beginning and end of logfile.\"\"\" if self._bounds_calculated: # Assume no need to","= None time_taken = 0 error = None self._chunk_splits.append((time, split_range, namespace, numSplits, success,","(?P<range>min:.*), max.*op_msg (?P<time_taken>\\d+)', line) if match: time = logevent.datetime split_range = match.group(\"range\") namespace","if not self.end and self.from_stdin: if le and le.datetime: self._end = le.datetime #","break # if there was a roll-over, subtract 1 year from start time","!= self._csrs[0]: self._shards.append(( match.group('replSet'), match.group('replSetMembers') )) elif not self._csrs: self._csrs = ( match.group('replSet'),","self._datetime_nextpos, self.year_rollover) if not ret: # logevent indicates timestamp format has changed, #","= 0 success = True error = None self._chunk_splits.append((time, split_range, namespace, numSplits, success,","self._num_lines = ln + 1 # reset logfile self.filehandle.seek(0) def _check_for_restart(self, logevent): if","= 'mongod' elif logevent.thread == 'mongosMain' and ('MongoS' in logevent.line_str or 'mongos' in","currently. \"\"\" if self.from_stdin: return None if not self._filesize: self._calculate_bounds() return self._filesize @property","logevent = LogEvent(line) lines_checked += 1 if logevent.datetime: self._start = logevent.datetime self._timezone =","\"configsvr: true\" in line: match = re.search(' _id: \"(?P<replSet>\\S+)\".*' 'members: (?P<replSetMembers>[^]]+ ])', line)","to find moved from shard name when SERVER-45770 TICKET is added moved_from =","# end of log file, get end date if not self.end and self.from_stdin:","LogEvent(line) match = re.search('for (?P<namespace>\\S+).*' 'numSplits: (?P<numSplits>\\d+)', line) if match: time = logevent.datetime","'details: { (?P<range>.*\\}).*' 'to: \"(?P<movedTo>\\S+)\".*note: \"(?P<note>\\S+)\"', line) if match: time = logevent.datetime chunk_range","by :: (?P<error>\\S+): ', line) if match: time = logevent.datetime split_range = match.group(\"range\")","match = re.search(\"for (?P<csrsName>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match: csrs_info = (match.group('csrsName'), match.group('replSetMembers')) self._csrs","= match.group('replSetMembers') # Replica set config logging in MongoDB 3.0+ new_config = (\"New","is already smaller than first datetime self.filehandle.seek(0) le = self.next() if le.datetime and","LogEvent.log_levels and line[31:39].strip() in LogEvent.log_components): self._has_level = True # find version string (fast","self._find_sharding_info() return self._chunks_moved_from @property def chunk_splits(self): \"\"\"Lazily return the chunks split in this","None self._datetime_nextpos = None elif le.datetime: # gather new hint info from another","per PEP 479 return # get start date for stdin input if not","\"is now in state\" in line: tokens = line.split() # 2.6 if tokens[1].endswith(']'):","logevent.datetime.tzinfo self._datetime_format = logevent.datetime_format self._datetime_nextpos = logevent._datetime_nextpos break if lines_checked > max_start_lines: break","LogEvent(line) if \"New replica set config in use\" in line: if \"configsvr: true\"","\"(?P<namespace>\\S+)\".*' 'details: { (?P<range>.*\\}).*.*note: \"(?P<note>\\S+)\"', line) if match: time = logevent.datetime chunk_range =","of the binary name.\"\"\" if not self._num_lines: self._iterate_lines() return self._hostname @property def port(self):","= line.decode('utf-8', 'replace') if line == '': raise StopIteration line = line.rstrip('\\n') le","= re.search('errmsg: \"(?P<errmsg>.*)\"', line) if match: errmsg = match.group('errmsg') chunk_migration = (time, chunk_range,","0 for ln, line in enumerate(self.filehandle): if isinstance(line, bytes): line = line.decode(\"utf-8\", \"replace\")","chunk_migration = (time, chunk_range, moved_from, namespace, steps, note, errmsg) self._chunks_moved_to.append(chunk_migration) if \"Finding the","all restarts.\"\"\" if not self._num_lines: self._iterate_lines() return self._rs_state @property def binary(self): \"\"\"Lazy evaluation","\"[initandlisten] options:\" no longer contains the \"engine\" field So now we have to","logevent.datetime chunk_range = match.group('range') namespace = match.group('namespace') # TODO: alter this to find",":\" in line or \"starting:\" in line: # look for hostname, port match","split_range, namespace, numSplits, success, time_taken, error)) elif \"Unable to auto-split chunk\" in line:","\"command admin.$cmd command: { replSetInitiate:\" in line: match = re.search('{ _id: \"(?P<replSet>\\S+)\", '","if available.\"\"\" if not self._num_lines: self._iterate_lines() return self._storage_engine @property def shards(self): \"\"\"Lazily return","CSRS (if available)\"\"\" if not self._csrs: self._find_sharding_info() return self._csrs @property def chunks_moved_to(self): \"\"\"Lazily","in line: logevent = LogEvent(line) match = re.search('ns: \"(?P<namespace>\\S+)\".*' 'details: { (?P<range>.*\\}).*.*note: \"(?P<note>\\S+)\"',","None for stdin input currently. \"\"\" if self.from_stdin: return None if not self._filesize:","# use readline here because next() iterator uses internal readahead # buffer so","None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \"Unable to auto-split chunk\"","return # get start date for stdin input if not self.start and self.from_stdin:","line.rstrip('\\n') le = LogEvent(line) # hint format and nextpos from previous line if","= logevent.datetime.tzinfo self._datetime_format = logevent.datetime_format self._datetime_nextpos = logevent._datetime_nextpos break if lines_checked > max_start_lines:","\"engine\" field if WiredTiger was the storage engine. There were only two engines,","if not self._filesize: self._calculate_bounds() return self._filesize @property def datetime_format(self): \"\"\"Lazy evaluation of the","the chunks split in this shard (if available)\"\"\" if not self._chunk_splits: self._find_sharding_info() return","will miss the first line that would otherwise match (as it consumes the","if not ret: # logevent indicates timestamp format has changed, # invalidate hint","\\[(?P<range>.*)\\)', prev_line) if match: time = logevent.datetime split_range = match.group(\"range\") namespace = match.group(\"namespace\")","match.group('replSet') match = re.search('engine: \"(?P<engine>\\S+)\"', line) if match: self._storage_engine = match.group('engine') else: self._storage_engine","\"replace\") if (self._has_level is None and line[28:31].strip() in LogEvent.log_levels and line[31:39].strip() in LogEvent.log_components):","restarts.\"\"\" if not self._num_lines: self._iterate_lines() return self._rs_state @property def binary(self): \"\"\"Lazy evaluation of","hint format and nextpos from previous line if self._datetime_format and self._datetime_nextpos is not","errmsg = \"Unknown\" chunk_migration = (time, chunk_range, moved_to, namespace, steps, note, errmsg) self._chunks_moved_from.append(chunk_migration)","note == \"success\": errmsg = None steps = re.findall('(?P<steps>step \\d of \\d): (?P<stepTimes>\\d+)',","'STARTUP2', 'RECOVERING', 'ROLLBACK', 'ARBITER', 'UNKNOWN']) def __len__(self): \"\"\"Return the number of lines in","Returns None for stdin input currently. \"\"\" if not self._start: self._calculate_bounds() return self._start","', line) if match: self._repl_set = match.group('replSet') self._repl_set_version = match.group('replSetVersion') match = re.search(',","line: if \"configsvr: true\" in line: match = re.search(' _id: \"(?P<replSet>\\S+)\".*' 'members: (?P<replSetMembers>[^]]+","of the binary name.\"\"\" if not self._num_lines: self._iterate_lines() return self._binary @property def hostname(self):","None self._chunk_splits = None # Track previous file position for loop detection in","match = re.search('replSet: \"(?P<replSet>\\S+)\"', line) if match: self._repl_set = match.group('replSet') match = re.search('engine:","match = re.search(\"for (?P<replSet>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match: if self._csrs and match.group('replSet') !=","is being used \"\"\" if \"[initandlisten] wiredtiger_open config:\" in line: self._storage_engine = 'wiredTiger'","self.start and self.from_stdin: if le and le.datetime: self._start = le.datetime try: yield le","3.2 the \"[initandlisten] options:\" no longer contains the \"engine\" field So now we","= self.filesize step_size = max_mark # check if start_dt is already smaller than","self._chunk_splits = None # Track previous file position for loop detection in _find_curr_line()","shard (if available)\"\"\" if not self._chunks_moved_from: self._find_sharding_info() return self._chunks_moved_from @property def chunk_splits(self): \"\"\"Lazily","= le.datetime_format self._datetime_nextpos = le._datetime_nextpos return le def __iter__(self): \"\"\" Iterate over LogFile","(self._start is None): raise SystemExit(\"Error: <%s> does not appear to be a supported","= None if match: errmsg = match.group('errmsg') else: errmsg = \"Unknown\" chunk_migration =","match.group('replSetProtocol') match = re.search('members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set_members = match.group('replSetMembers') #","attempting to find end date if (self._start is None): raise SystemExit(\"Error: <%s> does","- jump_back + 1, 1) # roll forward until we found a line","else: return False def _calculate_bounds(self): \"\"\"Calculate beginning and end of logfile.\"\"\" if self._bounds_calculated:","the datetime format.\"\"\" if not self._datetime_format: self._calculate_bounds() return self._datetime_format @property def has_level(self): \"\"\"Lazy","= re.findall('(?P<steps>step \\d of \\d): (?P<stepTimes>\\d+)', line) else: match = re.search(':: caused by","3.0, but would now tell us definitively that wiredTiger is being used \"\"\"","versions = [] for v, _ in self.restarts: if len(versions) == 0 or","versions @property def repl_set(self): \"\"\"Return the replSet (if available).\"\"\" if not self._num_lines: self._iterate_lines()","= line.split() if self._hostname: host = self._hostname + ':' + self._port else: host","success, time_taken, error)) elif \"Unable to auto-split chunk\" in line: logevent = LogEvent(line)","new_config = (\"New replica set config in use: \") if new_config in line:","False time_taken = 0 error = \"Jumbo\" self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken,","a supported \" \"MongoDB log file format\" % self.filehandle.name) # get end datetime","For 3.2 the \"[initandlisten] options:\" no longer contains the \"engine\" field So now","input currently. \"\"\" if self.from_stdin: return None if not self._num_lines: self._iterate_lines() return self._num_lines","[] self._chunks_moved_to = [] self._chunk_splits = [] prev_line = \"\" for line in","wrapper class. Handles open file streams or stdin.\"\"\" def __init__(self, filehandle): \"\"\"Provide logfile","match.group(\"range\") namespace = match.group(\"namespace\") time_taken = match.group(\"time_taken\") numSplits = 0 success = True","in use\" in line: if \"configsvr: true\" in line: match = re.search(' _id:","evaluation of all restarts.\"\"\" if not self._num_lines: self._iterate_lines() return self._restarts @property def rs_state(self):","re.search('{ _id: \"(?P<replSet>\\S+)\", ' 'version: (?P<replSetVersion>\\d+), ', line) if match: self._repl_set = match.group('replSet')","future iterations start from the beginning if not self.from_stdin: self.filehandle.seek(0) # return (instead","most) and find last newline char jump_back = min(self.filehandle.tell(), 15000) self.filehandle.seek(-jump_back, 1) buff","= buff.rfind('\\n') if prev: newline_pos = buff[:newline_pos].rfind('\\n') # move back to last newline","filehandle.name self.from_stdin = filehandle.name == \"<stdin>\" self._bounds_calculated = False self._start = None self._end","match.group('replSet'), match.group('replSetMembers') ) if \"moveChunk.from\" in line: logevent = LogEvent(line) match = re.search('ns:","\"starting :\" in line or \"starting:\" in line: # look for hostname, port","\"\"\" self._shards = [] self._chunks_moved_from = [] self._chunks_moved_to = [] self._chunk_splits = []","loop detection in _find_curr_line() self.prev_pos = None self._has_level = None # make sure","logevent.line_str): self._binary = 'mongos' else: return False version = re.search(r'(\\d\\.\\d\\.\\d+)', logevent.line_str) if version:","self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \"splitVector\" in line: logevent =","2 else: pos = 6 rs_state = ' '.join(tokens[pos:]) state = (host, rs_state,","find any sharding related information \"\"\" self._shards = [] self._chunks_moved_from = [] self._chunks_moved_to","0 # get start datetime for line in self.filehandle: logevent = LogEvent(line) lines_checked","logevent.line_str): self._binary = 'mongod' elif logevent.thread == 'mongosMain' and ('MongoS' in logevent.line_str or","csrs_info else: match = re.search(\"for (?P<shardName>\\w+)/\" \"(?P<replSetMembers>\\S+)\", line) if match: shard_info = (match.group('shardName'),","os.path.basename(self.name) host += ' (self)' if tokens[-1] in self.states: rs_state = tokens[-1] else:","namespace, numSplits, success, time_taken, error)) elif \"splitVector\" in line: logevent = LogEvent(line) match","@property def csrs(self): \"\"\"Lazily return the CSRS (if available)\"\"\" if not self._csrs: self._find_sharding_info()"],"string":"[\n \"self._chunks_moved_to = None self._chunk_splits = None # Track previous file position for loop\",\n \"= line.decode(\\\"utf-8\\\", \\\"replace\\\") if self.binary == \\\"mongos\\\": if \\\"Starting new replica set monitor\",\n \"None self._binary = None self._timezone = None self._hostname = None self._port = None\",\n \"= match.group('namespace') # TODO: alter this to find moved from shard name when\",\n \"= None self._year_rollover = None self._shards = None self._csrs = None self._chunks_moved_from =\",\n \"if match: time = logevent.datetime split_range = match.group(\\\"range\\\") namespace = match.group(\\\"namespace\\\") numSplits =\",\n \"logevent)) if \\\"starting :\\\" in line or \\\"starting:\\\" in line: # look for\",\n \"logevent.datetime split_range = match.group(\\\"range\\\") namespace = match.group(\\\"namespace\\\") numSplits = 0 success = False\",\n \"tell us definitively that wiredTiger is being used \\\"\\\"\\\" if \\\"[initandlisten] wiredtiger_open config:\\\"\",\n \"return self._csrs @property def chunks_moved_to(self): \\\"\\\"\\\"Lazily return the chunks moved to this shard\",\n \"logfile has any level lines.\\\"\\\"\\\" if self._has_level is None: self._iterate_lines() return self._has_level @property\",\n \"bounds are calculated before starting to iterate, # including potential year rollovers self._calculate_bounds()\",\n \"self.filehandle.seek(0) def _check_for_restart(self, logevent): if (logevent.thread == 'initandlisten' and \\\"db version v\\\" in\",\n \"match.group('replSetMembers')) self._csrs = csrs_info else: match = re.search(\\\"for (?P<shardName>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match:\",\n \"self._shards.append(( match.group('replSet'), match.group('replSetMembers') )) elif not self._csrs: self._csrs = ( match.group('replSet'), match.group('replSetMembers') )\",\n \"most to make sure we catch one) self.filehandle.seek(0, 2) self._filesize = self.filehandle.tell() self.filehandle.seek(-min(self._filesize,\",\n \"find a valid log line within max_start_lines max_start_lines = 10 lines_checked = 0\",\n \"to be forwarded manually, and it will miss the first line that would\",\n \"le: break if le.datetime >= start_dt: step_size = -abs(step_size) else: step_size = abs(step_size)\",\n \"before attempting to find end date if (self._start is None): raise SystemExit(\\\"Error: <%s>\",\n \"\\\"\\\"\\\"Provide logfile as open file stream or stdin.\\\"\\\"\\\" self.filehandle = filehandle self.name =\",\n \"= re.search('engine: \\\"(?P<engine>\\\\S+)\\\"', line) if match: self._storage_engine = match.group('engine') else: self._storage_engine = 'mmapv1'\",\n \">= start_dt: self.filehandle.seek(0) return le = None self.filehandle.seek(0) # search for lower bound\",\n \"line) if match: csrs_info = (match.group('csrsName'), match.group('replSetMembers')) self._csrs = csrs_info else: match =\",\n \"\\\"mongos\\\": if \\\"Starting new replica set monitor for\\\" in line: if \\\"[mongosMain]\\\" in\",\n \"config logging in MongoDB 3.0+ new_config = (\\\"New replica set config in use:\",\n \"binary name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._port @property def versions(self): \\\"\\\"\\\"Return all\",\n \"(if available)\\\"\\\"\\\" if not self._chunk_splits: self._find_sharding_info() return self._chunk_splits def next(self): \\\"\\\"\\\"Get next line,\",\n \"None self._has_level = None # make sure bounds are calculated before starting to\",\n \"match: time = logevent.datetime split_range = match.group(\\\"range\\\") namespace = match.group(\\\"namespace\\\") time_taken = match.group(\\\"time_taken\\\")\",\n \"namespace = match.group('namespace') moved_to = match.group('movedTo') note = match.group('note') if note == \\\"success\\\":\",\n \"the datetime format.\\\"\\\"\\\" if self._year_rollover is None: self._calculate_bounds() return self._year_rollover @property def num_lines(self):\",\n \"_calculate_bounds(self): \\\"\\\"\\\"Calculate beginning and end of logfile.\\\"\\\"\\\" if self._bounds_calculated: # Assume no need\",\n \"line.endswith(state))): if \\\"is now in state\\\" in line: tokens = line.split() # 2.6\",\n \"time_taken = match.group(\\\"time_taken\\\") numSplits = 0 success = True error = None self._chunk_splits.append((time,\",\n \"version string (fast check to eliminate most lines) if \\\"version\\\" in line[:100]: logevent\",\n \"logevent = LogEvent(line) if logevent.datetime: self._end = logevent.datetime break # if there was\",\n \"self.filehandle.seek(0, 2) self._filesize = self.filehandle.tell() self.filehandle.seek(-min(self._filesize, 30000), 2) for line in reversed(self.filehandle.readlines()): logevent\",\n \"= match.group('replSet') self._repl_set_members = match.group('replSetMembers') # Replica set config logging in MongoDB 3.0+\",\n \"end of file return None def _find_sharding_info(self): \\\"\\\"\\\" Iterate over file and find\",\n \"truly smaller line while self.filehandle.tell() >= 2 and (le.datetime is None or le.datetime\",\n \"beginning and end of logfile.\\\"\\\"\\\" if self._bounds_calculated: # Assume no need to recalc\",\n \"self.states: rs_state = tokens[-1] else: # 2.6 if tokens[1].endswith(']'): pos = 2 else:\",\n \"match.group(\\\"namespace\\\") numSplits = 0 success = False time_taken = 0 error = match.group(\\\"error\\\")\",\n \"filehandle.name == \\\"<stdin>\\\" self._bounds_calculated = False self._start = None self._end = None self._filesize\",\n \"line == '': raise StopIteration line = line.rstrip('\\\\n') le = LogEvent(line) # hint\",\n \"SystemExit(\\\"Cannot parse %s with requested options\\\" % self.filehandle.name) else: self.prev_pos = curr_pos if\",\n \"{ replSetInitiate:\\\" in line: match = re.search('{ _id: \\\"(?P<replSet>\\\\S+)\\\", ' 'members: (?P<replSetMembers>[^]]+ ])',\",\n \"based on the current seek position. \\\"\\\"\\\" curr_pos = self.filehandle.tell() # jump back\",\n \"state\\\" in line: tokens = line.split() # 2.6 if tokens[1].endswith(']'): pos = 4\",\n \"def end(self): \\\"\\\"\\\" Lazy evaluation of start and end of logfile. Returns None\",\n \"if match: self._repl_set_members = match.group('replSetMembers') # if (\\\"is now in state\\\" in line\",\n \"return self._repl_set_protocol @property def storage_engine(self): \\\"\\\"\\\"Return storage engine if available.\\\"\\\"\\\" if not self._num_lines:\",\n \"= LogEvent(line) match = re.search('ns: \\\"(?P<namespace>\\\\S+)\\\".*' 'details: { (?P<range>.*\\\\}).*' 'to: \\\"(?P<movedTo>\\\\S+)\\\".*note: \\\"(?P<note>\\\\S+)\\\"', line)\",\n \"(if available)\\\"\\\"\\\" if not self._chunks_moved_from: self._find_sharding_info() return self._chunks_moved_from @property def chunk_splits(self): \\\"\\\"\\\"Lazily return\",\n \"start_dt is already smaller than first datetime self.filehandle.seek(0) le = self.next() if le.datetime\",\n \"Fast-forward file to given start_dt datetime obj using binary search. Only fast for\",\n \"match.group('replSetMembers')) self._shards.append(shard_info) elif self.binary == \\\"mongod\\\": logevent = LogEvent(line) if \\\"New replica set\",\n \"if not self._num_lines: self._iterate_lines() return self._repl_set_protocol @property def storage_engine(self): \\\"\\\"\\\"Return storage engine if\",\n \"self._storage_engine = None self._datetime_format = None self._year_rollover = None self._shards = None self._csrs\",\n \"a roll-over, subtract 1 year from start time if self._end < self._start: self._start\",\n \"= 'mongos' else: return False version = re.search(r'(\\\\d\\\\.\\\\d\\\\.\\\\d+)', logevent.line_str) if version: version =\",\n \"isinstance(line, bytes): line = line.decode('utf-8', 'replace') if line == '': raise StopIteration line\",\n \"le.datetime: # gather new hint info from another logevent self._datetime_format = le.datetime_format self._datetime_nextpos\",\n \"for each line (generator). \\\"\\\"\\\" le = None while True: try: le =\",\n \"%s:\\\\n\\\\n%s\\\\n%s\\\\n\\\" \\\"<--- (current log parsing offset) \\\\n%s\\\\n%s\\\\n\\\" % (curr_pos, self.name, hr, buff[:error_context], buff[error_context:error_context\",\n \"line) if match: time = logevent.datetime split_range = match.group(\\\"range\\\") namespace = match.group(\\\"namespace\\\") numSplits\",\n \"= match.group(\\\"error\\\") self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \\\"jumbo\\\" in line:\",\n \"vector for\\\" in line: logevent = LogEvent(line) match = re.search('for (?P<namespace>\\\\S+).*' 'numSplits: (?P<numSplits>\\\\d+)',\",\n \"now tell us definitively that wiredTiger is being used \\\"\\\"\\\" if \\\"[initandlisten] wiredtiger_open\",\n \"line that would otherwise match (as it consumes the log line). \\\"\\\"\\\" if\",\n \"smaller line while self.filehandle.tell() >= 2 and (le.datetime is None or le.datetime >=\",\n \"False # reset logfile self.filehandle.seek(0) self._bounds_calculated = True return True def _find_curr_line(self, prev=False):\",\n \"(at most) and find last newline char jump_back = min(self.filehandle.tell(), 15000) self.filehandle.seek(-jump_back, 1)\",\n \"available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set_version @property def repl_set_protocol(self): \\\"\\\"\\\"Return the replSet\",\n \"line.split() # 2.6 if tokens[1].endswith(']'): pos = 4 else: pos = 5 host\",\n \"replSet\\\" in line: tokens = line.split() if self._hostname: host = self._hostname + ':'\",\n \"self._timezone = None self._hostname = None self._port = None self._rs_state = None self._repl_set\",\n \"restarts(self): \\\"\\\"\\\"Lazy evaluation of all restarts.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._restarts @property\",\n \"[] for v, _ in self.restarts: if len(versions) == 0 or v !=\",\n \"new replica set monitor for\\\" in line: if \\\"[mongosMain]\\\" in line: match =\",\n \"is None: self._calculate_bounds() return self._year_rollover @property def num_lines(self): \\\"\\\"\\\" Lazy evaluation of the\",\n \"None self._chunks_moved_from = None self._chunks_moved_to = None self._chunk_splits = None # Track previous\",\n \"line in self.filehandle: logevent = LogEvent(line) lines_checked += 1 if logevent.datetime: self._start =\",\n \"# sanity check before attempting to find end date if (self._start is None):\",\n \"iterate, # including potential year rollovers self._calculate_bounds() @property def start(self): \\\"\\\"\\\" Lazy evaluation\",\n \"logevent.datetime: logevent = self.next() return logevent except StopIteration: # reached end of file\",\n \"buff = self.filehandle.read(curr_pos) hr = \\\"-\\\" * 60 print(\\\"Fatal log parsing loop detected\",\n \"LogEvent(line) match = re.search(\\\"chunk \\\\[(?P<range>.*)\\\\) \\\" 'in namespace (?P<namespace>\\\\S+)' ' :: caused by\",\n \"not self._end: self._calculate_bounds() return self._end @property def timezone(self): \\\"\\\"\\\"Lazy evaluation of timezone of\",\n \"match.group(\\\"namespace\\\") time_taken = match.group(\\\"time_taken\\\") numSplits = 0 success = True error = None\",\n \"to given start_dt datetime obj using binary search. Only fast for files. Streams\",\n \"self._num_lines = 0 self._restarts = [] self._rs_state = [] ln = 0 for\",\n \"= re.search('port=(?P<port>\\\\d+).*host=(?P<host>\\\\S+)', line) if match: self._hostname = match.group('host') self._port = match.group('port') \\\"\\\"\\\" For\",\n \"re.search(\\\"for (?P<csrsName>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: csrs_info = (match.group('csrsName'), match.group('replSetMembers')) self._csrs = csrs_info\",\n \"line) if match: time = logevent.datetime split_range = match.group(\\\"range\\\") namespace = match.group(\\\"namespace\\\") time_taken\",\n \"Returns None for stdin input currently. \\\"\\\"\\\" if self.from_stdin: return None if not\",\n \"self.filehandle: if isinstance(line, bytes): line = line.decode(\\\"utf-8\\\", \\\"replace\\\") if self.binary == \\\"mongos\\\": if\",\n \"and self.prev_pos == curr_pos: # Number of characters to show before/after the log\",\n \"\\\"(?P<errmsg>.*)\\\"', line) if match: errmsg = match.group('errmsg') chunk_migration = (time, chunk_range, moved_from, namespace,\",\n \"match: self._repl_set = match.group('replSet') self._repl_set_members = match.group('replSetMembers') # Replica set config logging in\",\n \"v, _ in self.restarts: if len(versions) == 0 or v != versions[-1]: versions.append(v)\",\n \"= (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue if \\\"[rsMgr] replSet\\\" in line: tokens =\",\n \"chunk_range = match.group('range') namespace = match.group('namespace') # TODO: alter this to find moved\",\n \"max_mark = self.filesize step_size = max_mark # check if start_dt is already smaller\",\n \"self._num_lines @property def restarts(self): \\\"\\\"\\\"Lazy evaluation of all restarts.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines()\",\n \"\\\"\\\"\\\" Lazy evaluation of the number of lines. Returns None for stdin input\",\n \"versions[-1]: versions.append(v) return versions @property def repl_set(self): \\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\" if\",\n \"@property def chunks_moved_to(self): \\\"\\\"\\\"Lazily return the chunks moved to this shard (if available)\\\"\\\"\\\"\",\n \"if not le: return # now walk backwards until we found a truly\",\n \"# move back to last newline char if newline_pos == -1: self.filehandle.seek(0) return\",\n \"match.group(\\\"error\\\") self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \\\"jumbo\\\" in line: logevent\",\n \"# including potential year rollovers self._calculate_bounds() @property def start(self): \\\"\\\"\\\" Lazy evaluation of\",\n \"# reached end of file return None def _find_sharding_info(self): \\\"\\\"\\\" Iterate over file\",\n \"return False version = re.search(r'(\\\\d\\\\.\\\\d\\\\.\\\\d+)', logevent.line_str) if version: version = version.group(1) return version\",\n \"= re.search(' _id: \\\"(?P<replSet>\\\\S+)\\\".*' 'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._csrs = (\",\n \"\\\"\\\"\\\" curr_pos = self.filehandle.tell() # jump back 15k characters (at most) and find\",\n \"(logevent.thread == 'initandlisten' and \\\"db version v\\\" in logevent.line_str): self._binary = 'mongod' elif\",\n \"version = version.group(1) return version else: return False def _calculate_bounds(self): \\\"\\\"\\\"Calculate beginning and\",\n \"not self.start and self.from_stdin: if le and le.datetime: self._start = le.datetime try: yield\",\n \"\\\"\\\" for line in self.filehandle: if isinstance(line, bytes): line = line.decode(\\\"utf-8\\\", \\\"replace\\\") if\",\n \"\\\\d): (?P<stepTimes>\\\\d+)', line) else: steps = None match = re.search('errmsg: \\\"(?P<errmsg>.*)\\\"', line) if\",\n \"None for stdin input currently. \\\"\\\"\\\" if not self._end: self._calculate_bounds() return self._end @property\",\n \"lines_checked += 1 if logevent.datetime: self._start = logevent.datetime self._timezone = logevent.datetime.tzinfo self._datetime_format =\",\n \") if \\\"moveChunk.from\\\" in line: logevent = LogEvent(line) match = re.search('ns: \\\"(?P<namespace>\\\\S+)\\\".*' 'details:\",\n \"There were only two engines, MMAPv1 and WiredTiger \\\"\\\"\\\" if \\\"[initandlisten] options:\\\" in\",\n \"error)) elif \\\"jumbo\\\" in line: logevent = LogEvent(line) match = re.search('migration (?P<namespace>\\\\S+): \\\\[(?P<range>.*)\\\\)',\",\n \"split vector for\\\" in line: logevent = LogEvent(line) match = re.search('for (?P<namespace>\\\\S+).*' 'numSplits:\",\n \"100: step_size = ceil(step_size / 2.) self.filehandle.seek(step_size, 1) le = self._find_curr_line() if not\",\n \"new replica set monitor for\\\" in line: match = re.search(\\\"for (?P<replSet>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line)\",\n \"split_range, namespace, numSplits, success, time_taken, error)) prev_line = line # reset logfile self.filehandle.seek(0)\",\n \"if \\\"Finding the split vector for\\\" in line: logevent = LogEvent(line) match =\",\n \"to last newline char if newline_pos == -1: self.filehandle.seek(0) return self.next() self.filehandle.seek(newline_pos -\",\n \"self.prev_pos = curr_pos if isinstance(buff, bytes): buff = buff.decode(\\\"utf-8\\\", \\\"replace\\\") newline_pos = buff.rfind('\\\\n')\",\n \"use readline here because next() iterator uses internal readahead # buffer so seek\",\n \"re.search('errmsg: \\\"(?P<errmsg>.*)\\\"', line) if match: errmsg = match.group('errmsg') chunk_migration = (time, chunk_range, moved_from,\",\n \"# buffer so seek position is wrong line = self.filehandle.readline() if isinstance(line, bytes):\",\n \"<%s> does not appear to be a supported \\\" \\\"MongoDB log file format\\\"\",\n \"of \\\\d): (?P<stepTimes>\\\\d+)', line) else: steps = None match = re.search('errmsg: \\\"(?P<errmsg>.*)\\\"', line)\",\n \"if not self._num_lines: self._iterate_lines() return self._port @property def versions(self): \\\"\\\"\\\"Return all version changes.\\\"\\\"\\\"\",\n \"1) buff = self.filehandle.read(jump_back) self.filehandle.seek(curr_pos, 0) if prev and self.prev_pos is not None\",\n \"version v\\\" in logevent.line_str): self._binary = 'mongod' elif logevent.thread == 'mongosMain' and ('MongoS'\",\n \"def filesize(self): \\\"\\\"\\\" Lazy evaluation of start and end of logfile. Returns None\",\n \"self._port = None self._rs_state = None self._repl_set = None self._repl_set_members = None self._repl_set_version\",\n \"wiredTiger is being used \\\"\\\"\\\" if \\\"[initandlisten] wiredtiger_open config:\\\" in line: self._storage_engine =\",\n \"# next(state for state in states if line.endswith(state))): if \\\"is now in state\\\"\",\n \"@property def repl_set_protocol(self): \\\"\\\"\\\"Return the replSet protocolVersion (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines()\",\n \"= None match = re.search('errmsg: \\\"(?P<errmsg>.*)\\\"', line) if match: errmsg = match.group('errmsg') chunk_migration\",\n \"break if le.datetime >= start_dt: step_size = -abs(step_size) else: step_size = abs(step_size) if\",\n \"self._bounds_calculated: # Assume no need to recalc bounds for lifetime of a Logfile\",\n \"end of logfile. Returns None for stdin input currently. \\\"\\\"\\\" if not self._end:\",\n \"previous file position for loop detection in _find_curr_line() self.prev_pos = None self._has_level =\",\n \"line: logevent = LogEvent(line) match = re.search('migration (?P<namespace>\\\\S+): \\\\[(?P<range>.*)\\\\)', prev_line) if match: time\",\n \"chunk_splits(self): \\\"\\\"\\\"Lazily return the chunks split in this shard (if available)\\\"\\\"\\\" if not\",\n \"a log file based on the current seek position. \\\"\\\"\\\" curr_pos = self.filehandle.tell()\",\n \"\\\"(?P<replSet>\\\\S+)\\\", ' 'version: (?P<replSetVersion>\\\\d+), ', line) if match: self._repl_set = match.group('replSet') self._repl_set_version =\",\n \"binary(self): \\\"\\\"\\\"Lazy evaluation of the binary name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._binary\",\n \"look for the \\\"[initandlisten] wiredtiger_open config:\\\" which was present in 3.0, but would\",\n \"else: errmsg = \\\"Unknown\\\" chunk_migration = (time, chunk_range, moved_to, namespace, steps, note, errmsg)\",\n \"\\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: if self._csrs and match.group('replSet') != self._csrs[0]: self._shards.append(( match.group('replSet'), match.group('replSetMembers')\",\n \"le = None self.filehandle.seek(0) # search for lower bound while abs(step_size) > 100:\",\n \"hint info from another logevent self._datetime_format = le.datetime_format self._datetime_nextpos = le._datetime_nextpos return le\",\n \"= LogEvent(line) match = re.search('ns: \\\"(?P<namespace>\\\\S+)\\\".*' 'details: { (?P<range>.*\\\\}).*.*note: \\\"(?P<note>\\\\S+)\\\"', line) if match:\",\n \"and le.datetime: self._end = le.datetime # future iterations start from the beginning if\",\n \"= logevent.datetime break # if there was a roll-over, subtract 1 year from\",\n \"self._chunks_moved_from = [] self._chunks_moved_to = [] self._chunk_splits = [] prev_line = \\\"\\\" for\",\n \"line[31:39].strip() in LogEvent.log_components): self._has_level = True # find version string (fast check to\",\n \"LogEvent.log_components): self._has_level = True # find version string (fast check to eliminate most\",\n \"next() iterator uses internal readahead # buffer so seek position is wrong line\",\n \"self._calculate_bounds() @property def start(self): \\\"\\\"\\\" Lazy evaluation of start and end of logfile.\",\n \"self._repl_set_protocol = match.group('replSetProtocol') match = re.search('members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set_members =\",\n \"re.findall('(?P<steps>step \\\\d of \\\\d): (?P<stepTimes>\\\\d+)', line) else: match = re.search(':: caused by ::\",\n \"+ 1, 1) # roll forward until we found a line with a\",\n \"0 self._restarts = [] self._rs_state = [] ln = 0 for ln, line\",\n \"to auto-split chunk\\\" in line: logevent = LogEvent(line) match = re.search(\\\"chunk \\\\[(?P<range>.*)\\\\) \\\"\",\n \"= False time_taken = 0 error = match.group(\\\"error\\\") self._chunk_splits.append((time, split_range, namespace, numSplits, success,\",\n \"def binary(self): \\\"\\\"\\\"Lazy evaluation of the binary name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return\",\n \"currently. \\\"\\\"\\\" if not self._end: self._calculate_bounds() return self._end @property def timezone(self): \\\"\\\"\\\"Lazy evaluation\",\n \"re.search('for (?P<namespace>\\\\S+).*' 'numSplits: (?P<numSplits>\\\\d+)', line) if match: time = logevent.datetime split_range = None\",\n \"= match.group(\\\"namespace\\\") numSplits = match.group('numSplits') success = None time_taken = 0 error =\",\n \"max.*op_msg (?P<time_taken>\\\\d+)', line) if match: time = logevent.datetime split_range = match.group(\\\"range\\\") namespace =\",\n \"re.search(r'(\\\\d\\\\.\\\\d\\\\.\\\\d+)', logevent.line_str) if version: version = version.group(1) return version else: return False def\",\n \"None self._year_rollover = None self._shards = None self._csrs = None self._chunks_moved_from = None\",\n \"for line in self.filehandle: if isinstance(line, bytes): line = line.decode(\\\"utf-8\\\", \\\"replace\\\") if self.binary\",\n \"# reset logfile self.filehandle.seek(0) def _check_for_restart(self, logevent): if (logevent.thread == 'initandlisten' and \\\"db\",\n \"auto-split chunk\\\" in line: logevent = LogEvent(line) match = re.search(\\\"chunk \\\\[(?P<range>.*)\\\\) \\\" 'in\",\n \"not self._csrs: self._find_sharding_info() return self._csrs @property def chunks_moved_to(self): \\\"\\\"\\\"Lazily return the chunks moved\",\n \"+ ':' + self._port else: host = os.path.basename(self.name) host += ' (self)' if\",\n \"@property def port(self): \\\"\\\"\\\"Lazy evaluation of the binary name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines()\",\n \"= 300 self.filehandle.seek(-error_context, 1) buff = self.filehandle.read(curr_pos) hr = \\\"-\\\" * 60 print(\\\"Fatal\",\n \"logfile self.filehandle.seek(0) def _check_for_restart(self, logevent): if (logevent.thread == 'initandlisten' and \\\"db version v\\\"\",\n \"= None self._chunks_moved_to = None self._chunk_splits = None # Track previous file position\",\n \"LogEvent(line) # hint format and nextpos from previous line if self._datetime_format and self._datetime_nextpos\",\n \"error_context = 300 self.filehandle.seek(-error_context, 1) buff = self.filehandle.read(curr_pos) hr = \\\"-\\\" * 60\",\n \"= version.group(1) return version else: return False def _calculate_bounds(self): \\\"\\\"\\\"Calculate beginning and end\",\n \"self.restarts: if len(versions) == 0 or v != versions[-1]: versions.append(v) return versions @property\",\n \"def versions(self): \\\"\\\"\\\"Return all version changes.\\\"\\\"\\\" versions = [] for v, _ in\",\n \"tokens[-1] else: # 2.6 if tokens[1].endswith(']'): pos = 2 else: pos = 6\",\n \"line: logevent = LogEvent(line) match = re.search('for (?P<namespace>\\\\S+).*' 'numSplits: (?P<numSplits>\\\\d+)', line) if match:\",\n \"the chunks moved from this shard (if available)\\\"\\\"\\\" if not self._chunks_moved_from: self._find_sharding_info() return\",\n \"self._calculate_bounds() return self._datetime_format @property def has_level(self): \\\"\\\"\\\"Lazy evaluation of the whether the logfile\",\n \"error = \\\"Jumbo\\\" self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) prev_line = line\",\n \"logevent.line_str or 'mongos' in logevent.line_str): self._binary = 'mongos' else: return False version =\",\n \"%s in %s:\\\\n\\\\n%s\\\\n%s\\\\n\\\" \\\"<--- (current log parsing offset) \\\\n%s\\\\n%s\\\\n\\\" % (curr_pos, self.name, hr,\",\n \"so seek position is wrong line = self.filehandle.readline() if isinstance(line, bytes): line =\",\n \"= None self._repl_set_members = None self._repl_set_version = None self._repl_set_protocol = None self._storage_engine =\",\n \"in reversed(self.filehandle.readlines()): logevent = LogEvent(line) if logevent.datetime: self._end = logevent.datetime break # if\",\n \"for\\\" in line: logevent = LogEvent(line) match = re.search('for (?P<namespace>\\\\S+).*' 'numSplits: (?P<numSplits>\\\\d+)', line)\",\n \"us definitively that wiredTiger is being used \\\"\\\"\\\" if \\\"[initandlisten] wiredtiger_open config:\\\" in\",\n \"input currently. \\\"\\\"\\\" if not self._end: self._calculate_bounds() return self._end @property def timezone(self): \\\"\\\"\\\"Lazy\",\n \"self.filehandle.seek(0) self._bounds_calculated = True return True def _find_curr_line(self, prev=False): \\\"\\\"\\\" Internal helper function.\",\n \"self._repl_set_members = None self._repl_set_version = None self._repl_set_protocol = None self._storage_engine = None self._datetime_format\",\n \"= re.search('for (?P<namespace>\\\\S+).*' 'numSplits: (?P<numSplits>\\\\d+)', line) if match: time = logevent.datetime split_range =\",\n \"hr, buff[:error_context], buff[error_context:error_context + 1], hr), file=sys.stderr) raise SystemExit(\\\"Cannot parse %s with requested\",\n \"logfile self.filehandle.seek(0) self._bounds_calculated = True return True def _find_curr_line(self, prev=False): \\\"\\\"\\\" Internal helper\",\n \"match.group('namespace') moved_to = match.group('movedTo') note = match.group('note') if note == \\\"success\\\": errmsg =\",\n \"chunks split in this shard (if available)\\\"\\\"\\\" if not self._chunk_splits: self._find_sharding_info() return self._chunk_splits\",\n \"is None): raise SystemExit(\\\"Error: <%s> does not appear to be a supported \\\"\",\n \"Iterate over file and find any sharding related information \\\"\\\"\\\" self._shards = []\",\n \"= match.group('numSplits') success = None time_taken = 0 error = None self._chunk_splits.append((time, split_range,\",\n \"over file and find any sharding related information \\\"\\\"\\\" self._shards = [] self._chunks_moved_from\",\n \"self._chunks_moved_to = [] self._chunk_splits = [] prev_line = \\\"\\\" for line in self.filehandle:\",\n \"when SERVER-45770 TICKET is added moved_from = \\\"Unknown\\\" note = match.group('note') if note\",\n \"of logfile. Returns None for stdin input currently. \\\"\\\"\\\" if self.from_stdin: return None\",\n \"elif \\\"splitVector\\\" in line: logevent = LogEvent(line) match = re.search('splitVector: \\\"(?P<namespace>\\\\S+)\\\".*,' ' (?P<range>min:.*),\",\n \"= logevent.datetime split_range = match.group(\\\"range\\\") namespace = match.group(\\\"namespace\\\") numSplits = 0 success =\",\n \"None elif le.datetime: # gather new hint info from another logevent self._datetime_format =\",\n \"states if line.endswith(state))): if \\\"is now in state\\\" in line: tokens = line.split()\",\n \"chunks_moved_from(self): \\\"\\\"\\\"Lazily return the chunks moved from this shard (if available)\\\"\\\"\\\" if not\",\n \"rollover and hint datetime format.\\\"\\\"\\\" # use readline here because next() iterator uses\",\n \"= max_mark # check if start_dt is already smaller than first datetime self.filehandle.seek(0)\",\n \"year rollovers self._calculate_bounds() @property def start(self): \\\"\\\"\\\" Lazy evaluation of start and end\",\n \"is not None: ret = le.set_datetime_hint(self._datetime_format, self._datetime_nextpos, self.year_rollover) if not ret: # logevent\",\n \"and ('MongoS' in logevent.line_str or 'mongos' in logevent.line_str): self._binary = 'mongos' else: return\",\n \"return (instead of raising StopIteration exception) per PEP 479 return # get start\",\n \"LogEvent(line) match = re.search('migration (?P<namespace>\\\\S+): \\\\[(?P<range>.*)\\\\)', prev_line) if match: time = logevent.datetime split_range\",\n \"self.from_stdin: self.filehandle.seek(0) # return (instead of raising StopIteration exception) per PEP 479 return\",\n \"until we found a truly smaller line while self.filehandle.tell() >= 2 and (le.datetime\",\n \"if \\\"is now in state\\\" in line: tokens = line.split() # 2.6 if\",\n \"Returns None for stdin input currently. \\\"\\\"\\\" if not self._end: self._calculate_bounds() return self._end\",\n \"if match: self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if \\\"Starting new replica set\",\n \"Return a LogEvent object for each line (generator). \\\"\\\"\\\" le = None while\",\n \"in line: logevent = LogEvent(line) match = re.search('ns: \\\"(?P<namespace>\\\\S+)\\\".*' 'details: { (?P<range>.*\\\\}).*' 'to:\",\n \"self._iterate_lines() return self._repl_set_members @property def repl_set_version(self): \\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\" if not\",\n \"\\\"\\\"\\\"Log file wrapper class. Handles open file streams or stdin.\\\"\\\"\\\" def __init__(self, filehandle):\",\n \"match: csrs_info = (match.group('csrsName'), match.group('replSetMembers')) self._csrs = csrs_info else: match = re.search(\\\"for (?P<shardName>\\\\w+)/\\\"\",\n \"def fast_forward(self, start_dt): \\\"\\\"\\\" Fast-forward file to given start_dt datetime obj using binary\",\n \"(as it consumes the log line). \\\"\\\"\\\" if self.from_stdin: # skip lines until\",\n \"else: step_size = abs(step_size) if not le: return # now walk backwards until\",\n \"start_dt datetime obj using binary search. Only fast for files. Streams need to\",\n \"if tokens[1].endswith(']'): pos = 4 else: pos = 5 host = tokens[pos] rs_state\",\n \"self._csrs: self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if \\\"moveChunk.from\\\" in line: logevent =\",\n \"while not logevent.datetime: logevent = self.next() return logevent except StopIteration: # reached end\",\n \"self._repl_set_members = match.group('replSetMembers') # if (\\\"is now in state\\\" in line and #\",\n \"note, errmsg) self._chunks_moved_from.append(chunk_migration) if \\\"moveChunk.to\\\" in line: logevent = LogEvent(line) match = re.search('ns:\",\n \"_id: \\\"(?P<replSet>\\\\S+)\\\", ' 'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set = match.group('replSet') self._repl_set_members\",\n \"open file streams or stdin.\\\"\\\"\\\" def __init__(self, filehandle): \\\"\\\"\\\"Provide logfile as open file\",\n \"self.filehandle.seek(0) # return (instead of raising StopIteration exception) per PEP 479 return #\",\n \"if not self._num_lines: self._iterate_lines() return self._repl_set_members @property def repl_set_version(self): \\\"\\\"\\\"Return the replSet (if\",\n \"prev and self.prev_pos is not None and self.prev_pos == curr_pos: # Number of\",\n \"fast_forward(self, start_dt): \\\"\\\"\\\" Fast-forward file to given start_dt datetime obj using binary search.\",\n \"pos = 5 host = tokens[pos] rs_state = tokens[-1] state = (host, rs_state,\",\n \"_check_for_restart(self, logevent): if (logevent.thread == 'initandlisten' and \\\"db version v\\\" in logevent.line_str): self._binary\",\n \"@property def datetime_format(self): \\\"\\\"\\\"Lazy evaluation of the datetime format.\\\"\\\"\\\" if not self._datetime_format: self._calculate_bounds()\",\n \"stdin.\\\"\\\"\\\" def __init__(self, filehandle): \\\"\\\"\\\"Provide logfile as open file stream or stdin.\\\"\\\"\\\" self.filehandle\",\n \"as open file stream or stdin.\\\"\\\"\\\" self.filehandle = filehandle self.name = filehandle.name self.from_stdin\",\n \"config in use\\\" in line: if \\\"configsvr: true\\\" in line: match = re.search('\",\n \"evaluation of the binary name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._binary @property def\",\n \"return self._num_lines @property def restarts(self): \\\"\\\"\\\"Lazy evaluation of all restarts.\\\"\\\"\\\" if not self._num_lines:\",\n \"options:\\\" long entry contained the \\\"engine\\\" field if WiredTiger was the storage engine.\",\n \"rs_state = tokens[-1] state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue if \\\"[rsMgr] replSet\\\"\",\n \"datetime for line in self.filehandle: logevent = LogEvent(line) lines_checked += 1 if logevent.datetime:\",\n \"mtools.util.logevent import LogEvent class LogFile(InputSource): \\\"\\\"\\\"Log file wrapper class. Handles open file streams\",\n \"def start(self): \\\"\\\"\\\" Lazy evaluation of start and end of logfile. Returns None\",\n \"def hostname(self): \\\"\\\"\\\"Lazy evaluation of the binary name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return\",\n \"if tokens[-1] in self.states: rs_state = tokens[-1] else: # 2.6 if tokens[1].endswith(']'): pos\",\n \"= match.group(\\\"namespace\\\") time_taken = match.group(\\\"time_taken\\\") numSplits = 0 success = True error =\",\n \"])', line) if match: self._repl_set = match.group('replSet') self._repl_set_members = match.group('replSetMembers') # Replica set\",\n \"self.from_stdin: # skip lines until start_dt is reached return else: # fast bisection\",\n \"buff[:error_context], buff[error_context:error_context + 1], hr), file=sys.stderr) raise SystemExit(\\\"Cannot parse %s with requested options\\\"\",\n \"> 100: step_size = ceil(step_size / 2.) self.filehandle.seek(step_size, 1) le = self._find_curr_line() if\",\n \"= None self._shards = None self._csrs = None self._chunks_moved_from = None self._chunks_moved_to =\",\n \"if self.from_stdin: return False # we should be able to find a valid\",\n \"\\\"[initandlisten] wiredtiger_open config:\\\" which was present in 3.0, but would now tell us\",\n \"def num_lines(self): \\\"\\\"\\\" Lazy evaluation of the number of lines. Returns None for\",\n \"bytes): line = line.decode(\\\"utf-8\\\", \\\"replace\\\") if self.binary == \\\"mongos\\\": if \\\"Starting new replica\",\n \"the whether the logfile has any level lines.\\\"\\\"\\\" if self._has_level is None: self._iterate_lines()\",\n \"if self._year_rollover is None: self._calculate_bounds() return self._year_rollover @property def num_lines(self): \\\"\\\"\\\" Lazy evaluation\",\n \"StopIteration: # reached end of file return None def _find_sharding_info(self): \\\"\\\"\\\" Iterate over\",\n \":: caused by :: (?P<error>\\\\S+): ', line) if match: time = logevent.datetime split_range\",\n \"not self._num_lines: self._iterate_lines() return self._restarts @property def rs_state(self): \\\"\\\"\\\"Lazy evaluation of all restarts.\\\"\\\"\\\"\",\n \"and le.datetime >= start_dt: self.filehandle.seek(0) return le = None self.filehandle.seek(0) # search for\",\n \"logevent.datetime self._timezone = logevent.datetime.tzinfo self._datetime_format = logevent.datetime_format self._datetime_nextpos = logevent._datetime_nextpos break if lines_checked\",\n \"le.datetime and le.datetime >= start_dt: self.filehandle.seek(0) return le = None self.filehandle.seek(0) # search\",\n \"\\\"\\\"\\\"Lazy evaluation of all restarts.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._restarts @property def\",\n \"self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if \\\"Starting new replica set monitor for\\\"\",\n \"return self.next() self.filehandle.seek(newline_pos - jump_back + 1, 1) # roll forward until we\",\n \"= None self._port = None self._rs_state = None self._repl_set = None self._repl_set_members =\",\n \"def _check_for_restart(self, logevent): if (logevent.thread == 'initandlisten' and \\\"db version v\\\" in logevent.line_str):\",\n \"steps, note, errmsg) self._chunks_moved_from.append(chunk_migration) if \\\"moveChunk.to\\\" in line: logevent = LogEvent(line) match =\",\n \"to recalc bounds for lifetime of a Logfile object return if self.from_stdin: return\",\n \"the replSet (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set_members @property def repl_set_version(self):\",\n \"'details: { (?P<range>.*\\\\}).*.*note: \\\"(?P<note>\\\\S+)\\\"', line) if match: time = logevent.datetime chunk_range = match.group('range')\",\n \"elif \\\"Unable to auto-split chunk\\\" in line: logevent = LogEvent(line) match = re.search(\\\"chunk\",\n \"in state\\\" in line and # next(state for state in states if line.endswith(state))):\",\n \"time_taken, error)) prev_line = line # reset logfile self.filehandle.seek(0) def fast_forward(self, start_dt): \\\"\\\"\\\"\",\n \"re.search('{ _id: \\\"(?P<replSet>\\\\S+)\\\", ' 'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set = match.group('replSet')\",\n \"\\\" 'in namespace (?P<namespace>\\\\S+)' ' :: caused by :: (?P<error>\\\\S+): ', line) if\",\n \"\\\"jumbo\\\" in line: logevent = LogEvent(line) match = re.search('migration (?P<namespace>\\\\S+): \\\\[(?P<range>.*)\\\\)', prev_line) if\",\n \"start from the beginning if not self.from_stdin: self.filehandle.seek(0) # return (instead of raising\",\n \"= 6 rs_state = ' '.join(tokens[pos:]) state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue\",\n \"= [] self._chunks_moved_to = [] self._chunk_splits = [] prev_line = \\\"\\\" for line\",\n \"= self._hostname + ':' + self._port else: host = os.path.basename(self.name) host += '\",\n \"= [] self._rs_state = [] ln = 0 for ln, line in enumerate(self.filehandle):\",\n \"line.decode(\\\"utf-8\\\", \\\"replace\\\") if (self._has_level is None and line[28:31].strip() in LogEvent.log_levels and line[31:39].strip() in\",\n \"= (\\\"New replica set config in use: \\\") if new_config in line: match\",\n \"(or previous if prev=True) line in a log file based on the current\",\n \"if not self._start: self._calculate_bounds() return self._start @property def end(self): \\\"\\\"\\\" Lazy evaluation of\",\n \"match = re.search('ns: \\\"(?P<namespace>\\\\S+)\\\".*' 'details: { (?P<range>.*\\\\}).*.*note: \\\"(?P<note>\\\\S+)\\\"', line) if match: time =\",\n \"= LogEvent(line) # hint format and nextpos from previous line if self._datetime_format and\",\n \"= [] prev_line = \\\"\\\" for line in self.filehandle: if isinstance(line, bytes): line\",\n \"self._filesize @property def datetime_format(self): \\\"\\\"\\\"Lazy evaluation of the datetime format.\\\"\\\"\\\" if not self._datetime_format:\",\n \"not self._num_lines: self._iterate_lines() return self._storage_engine @property def shards(self): \\\"\\\"\\\"Lazily return the shards (if\",\n \"def chunk_splits(self): \\\"\\\"\\\"Lazily return the chunks split in this shard (if available)\\\"\\\"\\\" if\",\n \"match.group('range') namespace = match.group('namespace') # TODO: alter this to find moved from shard\",\n \"from this shard (if available)\\\"\\\"\\\" if not self._chunks_moved_from: self._find_sharding_info() return self._chunks_moved_from @property def\",\n \"(?P<errmsg>\\\\S+):', prev_line) steps = None if match: errmsg = match.group('errmsg') else: errmsg =\",\n \"start_dt: step_size = -abs(step_size) else: step_size = abs(step_size) if not le: return #\",\n \"2.) self.filehandle.seek(step_size, 1) le = self._find_curr_line() if not le: break if le.datetime >=\",\n \"None def _find_sharding_info(self): \\\"\\\"\\\" Iterate over file and find any sharding related information\",\n \"split_range, namespace, numSplits, success, time_taken, error)) elif \\\"jumbo\\\" in line: logevent = LogEvent(line)\",\n \"in self.states: rs_state = tokens[-1] else: # 2.6 if tokens[1].endswith(']'): pos = 2\",\n \"a Logfile object return if self.from_stdin: return False # we should be able\",\n \"fast bisection path max_mark = self.filesize step_size = max_mark # check if start_dt\",\n \"(lines are at most 10k, # go back 30k at most to make\",\n \"split in this shard (if available)\\\"\\\"\\\" if not self._chunk_splits: self._find_sharding_info() return self._chunk_splits def\",\n \"start(self): \\\"\\\"\\\" Lazy evaluation of start and end of logfile. Returns None for\",\n \"match.group('range') namespace = match.group('namespace') moved_to = match.group('movedTo') note = match.group('note') if note ==\",\n \"in LogEvent.log_components): self._has_level = True # find version string (fast check to eliminate\",\n \"characters to show before/after the log offset error_context = 300 self.filehandle.seek(-error_context, 1) buff\",\n \"back 30k at most to make sure we catch one) self.filehandle.seek(0, 2) self._filesize\",\n \"LogFile(InputSource): \\\"\\\"\\\"Log file wrapper class. Handles open file streams or stdin.\\\"\\\"\\\" def __init__(self,\",\n \"= logevent.datetime chunk_range = match.group('range') namespace = match.group('namespace') moved_to = match.group('movedTo') note =\",\n \"30000), 2) for line in reversed(self.filehandle.readlines()): logevent = LogEvent(line) if logevent.datetime: self._end =\",\n \"logfile as open file stream or stdin.\\\"\\\"\\\" self.filehandle = filehandle self.name = filehandle.name\",\n \"if not self._shards: self._find_sharding_info() return self._shards @property def csrs(self): \\\"\\\"\\\"Lazily return the CSRS\",\n \"available)\\\"\\\"\\\" if not self._csrs: self._find_sharding_info() return self._csrs @property def chunks_moved_to(self): \\\"\\\"\\\"Lazily return the\",\n \"@property def repl_set_version(self): \\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return\",\n \"object. Return a LogEvent object for each line (generator). \\\"\\\"\\\" le = None\",\n \"steps, note, errmsg) self._chunks_moved_to.append(chunk_migration) if \\\"Finding the split vector for\\\" in line: logevent\",\n \"True return True def _find_curr_line(self, prev=False): \\\"\\\"\\\" Internal helper function. Find the current\",\n \"the log line). \\\"\\\"\\\" if self.from_stdin: # skip lines until start_dt is reached\",\n \"(?P<replSet>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: if self._csrs and match.group('replSet') != self._csrs[0]: self._shards.append(( match.group('replSet'),\",\n \"(?P<stepTimes>\\\\d+)', line) else: steps = None match = re.search('errmsg: \\\"(?P<errmsg>.*)\\\"', line) if match:\",\n \"numSplits, success, time_taken, error)) prev_line = line # reset logfile self.filehandle.seek(0) def fast_forward(self,\",\n \"would otherwise match (as it consumes the log line). \\\"\\\"\\\" if self.from_stdin: #\",\n \"of lines in a log file.\\\"\\\"\\\" return self.num_lines def _iterate_lines(self): \\\"\\\"\\\"Count number of\",\n \"None for stdin input currently. \\\"\\\"\\\" if not self._start: self._calculate_bounds() return self._start @property\",\n \"self._shards = [] self._chunks_moved_from = [] self._chunks_moved_to = [] self._chunk_splits = [] prev_line\",\n \"None self._num_lines = None self._restarts = None self._binary = None self._timezone = None\",\n \"set config in use\\\" in line: if \\\"configsvr: true\\\" in line: match =\",\n \"Assume no need to recalc bounds for lifetime of a Logfile object return\",\n \"than first datetime self.filehandle.seek(0) le = self.next() if le.datetime and le.datetime >= start_dt:\",\n \"invalidate hint info self._datetime_format = None self._datetime_nextpos = None elif le.datetime: # gather\",\n \"info self._datetime_format = None self._datetime_nextpos = None elif le.datetime: # gather new hint\",\n \"== 0 or v != versions[-1]: versions.append(v) return versions @property def repl_set(self): \\\"\\\"\\\"Return\",\n \"# get start date for stdin input if not self.start and self.from_stdin: if\",\n \"v\\\" in logevent.line_str): self._binary = 'mongod' elif logevent.thread == 'mongosMain' and ('MongoS' in\",\n \"hostname(self): \\\"\\\"\\\"Lazy evaluation of the binary name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._hostname\",\n \"in line: tokens = line.split() # 2.6 if tokens[1].endswith(']'): pos = 4 else:\",\n \"miss the first line that would otherwise match (as it consumes the log\",\n \"datetime format.\\\"\\\"\\\" # use readline here because next() iterator uses internal readahead #\",\n \"line = line.rstrip('\\\\n') le = LogEvent(line) # hint format and nextpos from previous\",\n \"self._shards @property def csrs(self): \\\"\\\"\\\"Lazily return the CSRS (if available)\\\"\\\"\\\" if not self._csrs:\",\n \"= self.next() except StopIteration as e: # end of log file, get end\",\n \"(self._has_level is None and line[28:31].strip() in LogEvent.log_levels and line[31:39].strip() in LogEvent.log_components): self._has_level =\",\n \"= None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \\\"splitVector\\\" in line:\",\n \"(?P<namespace>\\\\S+): \\\\[(?P<range>.*)\\\\)', prev_line) if match: time = logevent.datetime split_range = match.group(\\\"range\\\") namespace =\",\n \"else: self._storage_engine = 'mmapv1' \\\"\\\"\\\" For 3.2 the \\\"[initandlisten] options:\\\" no longer contains\",\n \"\\\"\\\"\\\" Fast-forward file to given start_dt datetime obj using binary search. Only fast\",\n \"self._datetime_format = None self._year_rollover = None self._shards = None self._csrs = None self._chunks_moved_from\",\n \"buff.rfind('\\\\n') if prev: newline_pos = buff[:newline_pos].rfind('\\\\n') # move back to last newline char\",\n \"# logevent indicates timestamp format has changed, # invalidate hint info self._datetime_format =\",\n \"self._end = None self._filesize = None self._num_lines = None self._restarts = None self._binary\",\n \"rs_state = tokens[-1] else: # 2.6 if tokens[1].endswith(']'): pos = 2 else: pos\",\n \"self._storage_engine @property def shards(self): \\\"\\\"\\\"Lazily return the shards (if available)\\\"\\\"\\\" if not self._shards:\",\n \"hint info self._datetime_format = None self._datetime_nextpos = None elif le.datetime: # gather new\",\n \"match.group('replSet') self._repl_set_members = match.group('replSetMembers') # Replica set config logging in MongoDB 3.0+ new_config\",\n \"char if newline_pos == -1: self.filehandle.seek(0) return self.next() self.filehandle.seek(newline_pos - jump_back + 1,\",\n \"self._calculate_bounds() return self._timezone @property def filesize(self): \\\"\\\"\\\" Lazy evaluation of start and end\",\n \"if self._csrs and match.group('replSet') != self._csrs[0]: self._shards.append(( match.group('replSet'), match.group('replSetMembers') )) elif not self._csrs:\",\n \"@property def num_lines(self): \\\"\\\"\\\" Lazy evaluation of the number of lines. Returns None\",\n \"back to last newline char if newline_pos == -1: self.filehandle.seek(0) return self.next() self.filehandle.seek(newline_pos\",\n \"buffer so seek position is wrong line = self.filehandle.readline() if isinstance(line, bytes): line\",\n \"logevent self._datetime_format = le.datetime_format self._datetime_nextpos = le._datetime_nextpos return le def __iter__(self): \\\"\\\"\\\" Iterate\",\n \"= ( match.group('replSet'), match.group('replSetMembers') ) if \\\"Starting new replica set monitor for\\\" in\",\n \"not self.from_stdin: self.filehandle.seek(0) # return (instead of raising StopIteration exception) per PEP 479\",\n \"self._chunk_splits def next(self): \\\"\\\"\\\"Get next line, adjust for year rollover and hint datetime\",\n \"self._shards = None self._csrs = None self._chunks_moved_from = None self._chunks_moved_to = None self._chunk_splits\",\n \"StopIteration as e: # end of log file, get end date if not\",\n \"in line: match = re.search(' _id: \\\"(?P<replSet>\\\\S+)\\\".*' 'members: (?P<replSetMembers>[^]]+ ])', line) if match:\",\n \"le.datetime >= start_dt: step_size = -abs(step_size) else: step_size = abs(step_size) if not le:\",\n \"if le.datetime >= start_dt: step_size = -abs(step_size) else: step_size = abs(step_size) if not\",\n \"False self._start = None self._end = None self._filesize = None self._num_lines = None\",\n \"find moved from shard name when SERVER-45770 TICKET is added moved_from = \\\"Unknown\\\"\",\n \"streams or stdin.\\\"\\\"\\\" def __init__(self, filehandle): \\\"\\\"\\\"Provide logfile as open file stream or\",\n \"buff = self.filehandle.read(jump_back) self.filehandle.seek(curr_pos, 0) if prev and self.prev_pos is not None and\",\n \"steps = re.findall('(?P<steps>step \\\\d of \\\\d): (?P<stepTimes>\\\\d+)', line) else: steps = None match\",\n \"match: self._hostname = match.group('host') self._port = match.group('port') \\\"\\\"\\\" For 3.0 the \\\"[initandlisten] options:\\\"\",\n \"until start_dt is reached return else: # fast bisection path max_mark = self.filesize\",\n \"has changed, # invalidate hint info self._datetime_format = None self._datetime_nextpos = None elif\",\n \"be expensive).\\\"\\\"\\\" self._num_lines = 0 self._restarts = [] self._rs_state = [] ln =\",\n \"return None if not self._num_lines: self._iterate_lines() return self._num_lines @property def restarts(self): \\\"\\\"\\\"Lazy evaluation\",\n \"binary search. Only fast for files. Streams need to be forwarded manually, and\",\n \"= None # make sure bounds are calculated before starting to iterate, #\",\n \"(?P<stepTimes>\\\\d+)', line) else: match = re.search(':: caused by :: (?P<errmsg>\\\\S+):', prev_line) steps =\",\n \"filehandle): \\\"\\\"\\\"Provide logfile as open file stream or stdin.\\\"\\\"\\\" self.filehandle = filehandle self.name\",\n \"go back 30k at most to make sure we catch one) self.filehandle.seek(0, 2)\",\n \"_id: \\\"(?P<replSet>\\\\S+)\\\".*' 'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._csrs = ( match.group('replSet'), match.group('replSetMembers')\",\n \"', line) if match: self._repl_set_protocol = match.group('replSetProtocol') match = re.search('members: (?P<replSetMembers>[^]]+ ])', line)\",\n \"self._restarts @property def rs_state(self): \\\"\\\"\\\"Lazy evaluation of all restarts.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines()\",\n \"in this shard (if available)\\\"\\\"\\\" if not self._chunk_splits: self._find_sharding_info() return self._chunk_splits def next(self):\",\n \"readahead # buffer so seek position is wrong line = self.filehandle.readline() if isinstance(line,\",\n \"match.group(\\\"time_taken\\\") numSplits = 0 success = True error = None self._chunk_splits.append((time, split_range, namespace,\",\n \"path max_mark = self.filesize step_size = max_mark # check if start_dt is already\",\n \"in line: match = re.search(\\\"for (?P<csrsName>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: csrs_info = (match.group('csrsName'),\",\n \"self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \\\"Unable to auto-split chunk\\\" in\",\n \"self._num_lines: self._iterate_lines() return self._port @property def versions(self): \\\"\\\"\\\"Return all version changes.\\\"\\\"\\\" versions =\",\n \"adjust for year rollover and hint datetime format.\\\"\\\"\\\" # use readline here because\",\n \"return versions @property def repl_set(self): \\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\" if not self._num_lines:\",\n \"monitor for\\\" in line: if \\\"[mongosMain]\\\" in line: match = re.search(\\\"for (?P<csrsName>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\",\",\n \"TICKET is added moved_from = \\\"Unknown\\\" note = match.group('note') if note == \\\"success\\\":\",\n \"self.filehandle.name) # get end datetime (lines are at most 10k, # go back\",\n \"next(state for state in states if line.endswith(state))): if \\\"is now in state\\\" in\",\n \"= None self._rs_state = None self._repl_set = None self._repl_set_members = None self._repl_set_version =\",\n \"available)\\\"\\\"\\\" if not self._chunk_splits: self._find_sharding_info() return self._chunk_splits def next(self): \\\"\\\"\\\"Get next line, adjust\",\n \"evaluation of start and end of logfile. Returns None for stdin input currently.\",\n \"name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._port @property def versions(self): \\\"\\\"\\\"Return all version\",\n \"line: tokens = line.split() if self._hostname: host = self._hostname + ':' + self._port\",\n \"to find a valid log line within max_start_lines max_start_lines = 10 lines_checked =\",\n \"be able to find a valid log line within max_start_lines max_start_lines = 10\",\n \"= line.decode(\\\"utf-8\\\", \\\"replace\\\") if (self._has_level is None and line[28:31].strip() in LogEvent.log_levels and line[31:39].strip()\",\n \"reset logfile self.filehandle.seek(0) self._bounds_calculated = True return True def _find_curr_line(self, prev=False): \\\"\\\"\\\" Internal\",\n \"= 0 self._restarts = [] self._rs_state = [] ln = 0 for ln,\",\n \"\\\"(?P<replSet>\\\\S+)\\\", ' 'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set = match.group('replSet') self._repl_set_members =\",\n \"restarts.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._restarts @property def rs_state(self): \\\"\\\"\\\"Lazy evaluation of\",\n \"self._datetime_format: self._calculate_bounds() return self._datetime_format @property def has_level(self): \\\"\\\"\\\"Lazy evaluation of the whether the\",\n \"each line (generator). \\\"\\\"\\\" le = None while True: try: le = self.next()\",\n \"sanity check before attempting to find end date if (self._start is None): raise\",\n \"self._storage_engine = 'wiredTiger' if \\\"command admin.$cmd command: { replSetInitiate:\\\" in line: match =\",\n \"match.group('replSetMembers') ) if \\\"Starting new replica set monitor for\\\" in line: match =\",\n \"@property def storage_engine(self): \\\"\\\"\\\"Return storage engine if available.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return\",\n \"reset logfile self.filehandle.seek(0) def fast_forward(self, start_dt): \\\"\\\"\\\" Fast-forward file to given start_dt datetime\",\n \"monitor for\\\" in line: match = re.search(\\\"for (?P<replSet>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: if\",\n \"caused by :: (?P<error>\\\\S+): ', line) if match: time = logevent.datetime split_range =\",\n \"of logfile.\\\"\\\"\\\" if not self._timezone: self._calculate_bounds() return self._timezone @property def filesize(self): \\\"\\\"\\\" Lazy\",\n \"if match: time = logevent.datetime split_range = None namespace = match.group(\\\"namespace\\\") numSplits =\",\n \"self._year_rollover = False # reset logfile self.filehandle.seek(0) self._bounds_calculated = True return True def\",\n \"log file.\\\"\\\"\\\" return self.num_lines def _iterate_lines(self): \\\"\\\"\\\"Count number of lines (can be expensive).\\\"\\\"\\\"\",\n \"'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if\",\n \"if \\\"[initandlisten] options:\\\" in line: match = re.search('replSet: \\\"(?P<replSet>\\\\S+)\\\"', line) if match: self._repl_set\",\n \"self._num_lines: self._iterate_lines() return self._binary @property def hostname(self): \\\"\\\"\\\"Lazy evaluation of the binary name.\\\"\\\"\\\"\",\n \"this to find moved from shard name when SERVER-45770 TICKET is added moved_from\",\n \"!= versions[-1]: versions.append(v) return versions @property def repl_set(self): \\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\"\",\n \"error = match.group(\\\"error\\\") self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \\\"jumbo\\\" in\",\n \"line) if match: if self._csrs and match.group('replSet') != self._csrs[0]: self._shards.append(( match.group('replSet'), match.group('replSetMembers') ))\",\n \"<gh_stars>0 #!/usr/bin/env python3 from __future__ import print_function import os import re import sys\",\n \"of the whether the logfile has any level lines.\\\"\\\"\\\" if self._has_level is None:\",\n \"@property def repl_set(self): \\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return\",\n \"self.filehandle.readline() if isinstance(line, bytes): line = line.decode('utf-8', 'replace') if line == '': raise\",\n \"if \\\"[initandlisten] wiredtiger_open config:\\\" in line: self._storage_engine = 'wiredTiger' if \\\"command admin.$cmd command:\",\n \"= match.group('movedTo') note = match.group('note') if note == \\\"success\\\": errmsg = None steps\",\n \"logevent.datetime: self._start = logevent.datetime self._timezone = logevent.datetime.tzinfo self._datetime_format = logevent.datetime_format self._datetime_nextpos = logevent._datetime_nextpos\",\n \"host = tokens[pos] rs_state = tokens[-1] state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue\",\n \"not self._csrs: self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if \\\"moveChunk.from\\\" in line: logevent\",\n \"info from another logevent self._datetime_format = le.datetime_format self._datetime_nextpos = le._datetime_nextpos return le def\",\n \"obj using binary search. Only fast for files. Streams need to be forwarded\",\n \"requested options\\\" % self.filehandle.name) else: self.prev_pos = curr_pos if isinstance(buff, bytes): buff =\",\n \"\\\"\\\"\\\"Lazy evaluation of the binary name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._hostname @property\",\n \"self._calculate_bounds() return self._year_rollover @property def num_lines(self): \\\"\\\"\\\" Lazy evaluation of the number of\",\n \"iterator uses internal readahead # buffer so seek position is wrong line =\",\n \"StopIteration exception) per PEP 479 return # get start date for stdin input\",\n \"match.group('port') \\\"\\\"\\\" For 3.0 the \\\"[initandlisten] options:\\\" long entry contained the \\\"engine\\\" field\",\n \"if not self._csrs: self._find_sharding_info() return self._csrs @property def chunks_moved_to(self): \\\"\\\"\\\"Lazily return the chunks\",\n \"= None # Track previous file position for loop detection in _find_curr_line() self.prev_pos\",\n \"self._restarts = [] self._rs_state = [] ln = 0 for ln, line in\",\n \"protocolVersion: (?P<replSetProtocol>\\\\d+), ', line) if match: self._repl_set_protocol = match.group('replSetProtocol') match = re.search('members: (?P<replSetMembers>[^]]+\",\n \"in a log file based on the current seek position. \\\"\\\"\\\" curr_pos =\",\n \"self._start: self._calculate_bounds() return self._start @property def end(self): \\\"\\\"\\\" Lazy evaluation of start and\",\n \"self._iterate_lines() return self._hostname @property def port(self): \\\"\\\"\\\"Lazy evaluation of the binary name.\\\"\\\"\\\" if\",\n \"isinstance(line, bytes): line = line.decode(\\\"utf-8\\\", \\\"replace\\\") if (self._has_level is None and line[28:31].strip() in\",\n \"= logevent.datetime chunk_range = match.group('range') namespace = match.group('namespace') # TODO: alter this to\",\n \"self._filesize = None self._num_lines = None self._restarts = None self._binary = None self._timezone\",\n \"self._chunks_moved_from.append(chunk_migration) if \\\"moveChunk.to\\\" in line: logevent = LogEvent(line) match = re.search('ns: \\\"(?P<namespace>\\\\S+)\\\".*' 'details:\",\n \"and self.from_stdin: if le and le.datetime: self._start = le.datetime try: yield le except\",\n \"last newline char if newline_pos == -1: self.filehandle.seek(0) return self.next() self.filehandle.seek(newline_pos - jump_back\",\n \"self._rs_state @property def binary(self): \\\"\\\"\\\"Lazy evaluation of the binary name.\\\"\\\"\\\" if not self._num_lines:\",\n \"None self._filesize = None self._num_lines = None self._restarts = None self._binary = None\",\n \"if (self._has_level is None and line[28:31].strip() in LogEvent.log_levels and line[31:39].strip() in LogEvent.log_components): self._has_level\",\n \"from another logevent self._datetime_format = le.datetime_format self._datetime_nextpos = le._datetime_nextpos return le def __iter__(self):\",\n \"fast for files. Streams need to be forwarded manually, and it will miss\",\n \"format has changed, # invalidate hint info self._datetime_format = None self._datetime_nextpos = None\",\n \"appear to be a supported \\\" \\\"MongoDB log file format\\\" % self.filehandle.name) #\",\n \"None self._shards = None self._csrs = None self._chunks_moved_from = None self._chunks_moved_to = None\",\n \"chunks moved from this shard (if available)\\\"\\\"\\\" if not self._chunks_moved_from: self._find_sharding_info() return self._chunks_moved_from\",\n \"or stdin.\\\"\\\"\\\" self.filehandle = filehandle self.name = filehandle.name self.from_stdin = filehandle.name == \\\"<stdin>\\\"\",\n \"= False self._start = None self._end = None self._filesize = None self._num_lines =\",\n \"not self._chunk_splits: self._find_sharding_info() return self._chunk_splits def next(self): \\\"\\\"\\\"Get next line, adjust for year\",\n \"self._datetime_nextpos = None elif le.datetime: # gather new hint info from another logevent\",\n \"\\\"\\\"\\\" if \\\"[initandlisten] options:\\\" in line: match = re.search('replSet: \\\"(?P<replSet>\\\\S+)\\\"', line) if match:\",\n \"self._end: self._calculate_bounds() return self._end @property def timezone(self): \\\"\\\"\\\"Lazy evaluation of timezone of logfile.\\\"\\\"\\\"\",\n \"= re.search(\\\"for (?P<replSet>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: if self._csrs and match.group('replSet') != self._csrs[0]:\",\n \"rs_state = ' '.join(tokens[pos:]) state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue self._num_lines =\",\n \"Internal helper function. Find the current (or previous if prev=True) line in a\",\n \"line: match = re.search(\\\"for (?P<csrsName>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: csrs_info = (match.group('csrsName'), match.group('replSetMembers'))\",\n \"errmsg = None steps = re.findall('(?P<steps>step \\\\d of \\\\d): (?P<stepTimes>\\\\d+)', line) else: match\",\n \"' 'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set = match.group('replSet') self._repl_set_members = match.group('replSetMembers')\",\n \"and find last newline char jump_back = min(self.filehandle.tell(), 15000) self.filehandle.seek(-jump_back, 1) buff =\",\n \"class. Handles open file streams or stdin.\\\"\\\"\\\" def __init__(self, filehandle): \\\"\\\"\\\"Provide logfile as\",\n \"15000) self.filehandle.seek(-jump_back, 1) buff = self.filehandle.read(jump_back) self.filehandle.seek(curr_pos, 0) if prev and self.prev_pos is\",\n \"config:\\\" which was present in 3.0, but would now tell us definitively that\",\n \"chunks_moved_to(self): \\\"\\\"\\\"Lazily return the chunks moved to this shard (if available)\\\"\\\"\\\" if not\",\n \"line) else: match = re.search(':: caused by :: (?P<errmsg>\\\\S+):', prev_line) steps = None\",\n \"stdin input currently. \\\"\\\"\\\" if not self._start: self._calculate_bounds() return self._start @property def end(self):\",\n \"replSet (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set_members @property def repl_set_version(self): \\\"\\\"\\\"Return\",\n \"== curr_pos: # Number of characters to show before/after the log offset error_context\",\n \"the log offset error_context = 300 self.filehandle.seek(-error_context, 1) buff = self.filehandle.read(curr_pos) hr =\",\n \"self.filehandle.seek(0) # search for lower bound while abs(step_size) > 100: step_size = ceil(step_size\",\n \"tokens[pos] rs_state = tokens[-1] state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue if \\\"[rsMgr]\",\n \"self._restarts.append((restart, logevent)) if \\\"starting :\\\" in line or \\\"starting:\\\" in line: # look\",\n \"% self.filehandle.name) else: self.prev_pos = curr_pos if isinstance(buff, bytes): buff = buff.decode(\\\"utf-8\\\", \\\"replace\\\")\",\n \"\\\"<stdin>\\\" self._bounds_calculated = False self._start = None self._end = None self._filesize = None\",\n \"datetime format.\\\"\\\"\\\" if self._year_rollover is None: self._calculate_bounds() return self._year_rollover @property def num_lines(self): \\\"\\\"\\\"\",\n \"manually, and it will miss the first line that would otherwise match (as\",\n \"chunks moved to this shard (if available)\\\"\\\"\\\" if not self._chunks_moved_to: self._find_sharding_info() return self._chunks_moved_to\",\n \"\\\"\\\"\\\"Lazily return the chunks moved from this shard (if available)\\\"\\\"\\\" if not self._chunks_moved_from:\",\n \"datetime from math import ceil from mtools.util.input_source import InputSource from mtools.util.logevent import LogEvent\",\n \"note = match.group('note') if note == \\\"success\\\": errmsg = None steps = re.findall('(?P<steps>step\",\n \"of the binary name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._port @property def versions(self):\",\n \"forward until we found a line with a datetime try: logevent = self.next()\",\n \"if \\\"command admin.$cmd command: { replSetInitiate:\\\" in line: match = re.search('{ _id: \\\"(?P<replSet>\\\\S+)\\\",\",\n \"self.filehandle.read(jump_back) self.filehandle.seek(curr_pos, 0) if prev and self.prev_pos is not None and self.prev_pos ==\",\n \"if self.from_stdin: return None if not self._num_lines: self._iterate_lines() return self._num_lines @property def restarts(self):\",\n \"binary name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._hostname @property def port(self): \\\"\\\"\\\"Lazy evaluation\",\n \"None if not self._num_lines: self._iterate_lines() return self._num_lines @property def restarts(self): \\\"\\\"\\\"Lazy evaluation of\",\n \"self.filehandle.read(curr_pos) hr = \\\"-\\\" * 60 print(\\\"Fatal log parsing loop detected trying to\",\n \"# TODO: alter this to find moved from shard name when SERVER-45770 TICKET\",\n \"within max_start_lines max_start_lines = 10 lines_checked = 0 # get start datetime for\",\n \"(if available)\\\"\\\"\\\" if not self._shards: self._find_sharding_info() return self._shards @property def csrs(self): \\\"\\\"\\\"Lazily return\",\n \"the current (or previous if prev=True) line in a log file based on\",\n \"newline char if newline_pos == -1: self.filehandle.seek(0) return self.next() self.filehandle.seek(newline_pos - jump_back +\",\n \"at most 10k, # go back 30k at most to make sure we\",\n \"match: time = logevent.datetime chunk_range = match.group('range') namespace = match.group('namespace') moved_to = match.group('movedTo')\",\n \"name when SERVER-45770 TICKET is added moved_from = \\\"Unknown\\\" note = match.group('note') if\",\n \"now in state\\\" in line: tokens = line.split() # 2.6 if tokens[1].endswith(']'): pos\",\n \"step_size = max_mark # check if start_dt is already smaller than first datetime\",\n \"in logevent.line_str): self._binary = 'mongod' elif logevent.thread == 'mongosMain' and ('MongoS' in logevent.line_str\",\n \"LogEvent(line)) self._rs_state.append(state) continue self._num_lines = ln + 1 # reset logfile self.filehandle.seek(0) def\",\n \"if not self._chunks_moved_to: self._find_sharding_info() return self._chunks_moved_to @property def chunks_moved_from(self): \\\"\\\"\\\"Lazily return the chunks\",\n \"= [] self._chunks_moved_from = [] self._chunks_moved_to = [] self._chunk_splits = [] prev_line =\",\n \"= self._find_curr_line() if not le: break if le.datetime >= start_dt: step_size = -abs(step_size)\",\n \"self.filehandle.seek(0) return self.next() self.filehandle.seek(newline_pos - jump_back + 1, 1) # roll forward until\",\n \"of the datetime format.\\\"\\\"\\\" if self._year_rollover is None: self._calculate_bounds() return self._year_rollover @property def\",\n \"= self.filehandle.read(jump_back) self.filehandle.seek(curr_pos, 0) if prev and self.prev_pos is not None and self.prev_pos\",\n \"need to be forwarded manually, and it will miss the first line that\",\n \"on the current seek position. \\\"\\\"\\\" curr_pos = self.filehandle.tell() # jump back 15k\",\n \"not None and self.prev_pos == curr_pos: # Number of characters to show before/after\",\n \"\\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set @property def\",\n \"line[28:31].strip() in LogEvent.log_levels and line[31:39].strip() in LogEvent.log_components): self._has_level = True # find version\",\n \"le except StopIteration: return states = (['PRIMARY', 'SECONDARY', 'DOWN', 'STARTUP', 'STARTUP2', 'RECOVERING', 'ROLLBACK',\",\n \"moved from this shard (if available)\\\"\\\"\\\" if not self._chunks_moved_from: self._find_sharding_info() return self._chunks_moved_from @property\",\n \"= match.group(\\\"namespace\\\") numSplits = 0 success = False time_taken = 0 error =\",\n \"in logevent.line_str): self._binary = 'mongos' else: return False version = re.search(r'(\\\\d\\\\.\\\\d\\\\.\\\\d+)', logevent.line_str) if\",\n \"'mongos' else: return False version = re.search(r'(\\\\d\\\\.\\\\d\\\\.\\\\d+)', logevent.line_str) if version: version = version.group(1)\",\n \"re.search('ns: \\\"(?P<namespace>\\\\S+)\\\".*' 'details: { (?P<range>.*\\\\}).*' 'to: \\\"(?P<movedTo>\\\\S+)\\\".*note: \\\"(?P<note>\\\\S+)\\\"', line) if match: time =\",\n \"of logfile. Returns None for stdin input currently. \\\"\\\"\\\" if not self._end: self._calculate_bounds()\",\n \"\\\"moveChunk.from\\\" in line: logevent = LogEvent(line) match = re.search('ns: \\\"(?P<namespace>\\\\S+)\\\".*' 'details: { (?P<range>.*\\\\}).*'\",\n \"split_range = match.group(\\\"range\\\") namespace = match.group(\\\"namespace\\\") numSplits = 0 success = False time_taken\",\n \"if \\\"configsvr: true\\\" in line: match = re.search(' _id: \\\"(?P<replSet>\\\\S+)\\\".*' 'members: (?P<replSetMembers>[^]]+ ])',\",\n \"with requested options\\\" % self.filehandle.name) else: self.prev_pos = curr_pos if isinstance(buff, bytes): buff\",\n \"not self._num_lines: self._iterate_lines() return self._rs_state @property def binary(self): \\\"\\\"\\\"Lazy evaluation of the binary\",\n \"3.0+ new_config = (\\\"New replica set config in use: \\\") if new_config in\",\n \"\\\"\\\"\\\"Get next line, adjust for year rollover and hint datetime format.\\\"\\\"\\\" # use\",\n \"self.prev_pos == curr_pos: # Number of characters to show before/after the log offset\",\n \"self._end @property def timezone(self): \\\"\\\"\\\"Lazy evaluation of timezone of logfile.\\\"\\\"\\\" if not self._timezone:\",\n \"\\\"\\\"\\\" if self.from_stdin: return None if not self._num_lines: self._iterate_lines() return self._num_lines @property def\",\n \"at most to make sure we catch one) self.filehandle.seek(0, 2) self._filesize = self.filehandle.tell()\",\n \"# we should be able to find a valid log line within max_start_lines\",\n \"self._start = None self._end = None self._filesize = None self._num_lines = None self._restarts\",\n \"as e: # end of log file, get end date if not self.end\",\n \"self._iterate_lines() return self._repl_set @property def repl_set_members(self): \\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\" if not\",\n \"@property def rs_state(self): \\\"\\\"\\\"Lazy evaluation of all restarts.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return\",\n \"if isinstance(line, bytes): line = line.decode('utf-8', 'replace') if line == '': raise StopIteration\",\n \"[] ln = 0 for ln, line in enumerate(self.filehandle): if isinstance(line, bytes): line\",\n \"self._year_rollover @property def num_lines(self): \\\"\\\"\\\" Lazy evaluation of the number of lines. Returns\",\n \"479 return # get start date for stdin input if not self.start and\",\n \"end of logfile.\\\"\\\"\\\" if self._bounds_calculated: # Assume no need to recalc bounds for\",\n \"time = logevent.datetime split_range = match.group(\\\"range\\\") namespace = match.group(\\\"namespace\\\") numSplits = 0 success\",\n \"= None self._repl_set_version = None self._repl_set_protocol = None self._storage_engine = None self._datetime_format =\",\n \"= match.group('port') \\\"\\\"\\\" For 3.0 the \\\"[initandlisten] options:\\\" long entry contained the \\\"engine\\\"\",\n \"is None and line[28:31].strip() in LogEvent.log_levels and line[31:39].strip() in LogEvent.log_components): self._has_level = True\",\n \"wrong line = self.filehandle.readline() if isinstance(line, bytes): line = line.decode('utf-8', 'replace') if line\",\n \"config in use: \\\") if new_config in line: match = re.search('{ _id: \\\"(?P<replSet>\\\\S+)\\\",\",\n \"success = False time_taken = 0 error = \\\"Jumbo\\\" self._chunk_splits.append((time, split_range, namespace, numSplits,\",\n \"1], hr), file=sys.stderr) raise SystemExit(\\\"Cannot parse %s with requested options\\\" % self.filehandle.name) else:\",\n \"success = None time_taken = 0 error = None self._chunk_splits.append((time, split_range, namespace, numSplits,\",\n \"\\\"\\\"\\\"Lazy evaluation of the binary name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._port @property\",\n \"def has_level(self): \\\"\\\"\\\"Lazy evaluation of the whether the logfile has any level lines.\\\"\\\"\\\"\",\n \"= re.search('{ _id: \\\"(?P<replSet>\\\\S+)\\\", ' 'version: (?P<replSetVersion>\\\\d+), ', line) if match: self._repl_set =\",\n \"+ self._port else: host = os.path.basename(self.name) host += ' (self)' if tokens[-1] in\",\n \"- 1) self._year_rollover = self._end else: self._year_rollover = False # reset logfile self.filehandle.seek(0)\",\n \"file streams or stdin.\\\"\\\"\\\" def __init__(self, filehandle): \\\"\\\"\\\"Provide logfile as open file stream\",\n \"self._calculate_bounds() return self._start @property def end(self): \\\"\\\"\\\" Lazy evaluation of start and end\",\n \"note, errmsg) self._chunks_moved_to.append(chunk_migration) if \\\"Finding the split vector for\\\" in line: logevent =\",\n \"self.filehandle.seek(0) return le = None self.filehandle.seek(0) # search for lower bound while abs(step_size)\",\n \"namespace, numSplits, success, time_taken, error)) elif \\\"jumbo\\\" in line: logevent = LogEvent(line) match\",\n \"from the beginning if not self.from_stdin: self.filehandle.seek(0) # return (instead of raising StopIteration\",\n \"_ in self.restarts: if len(versions) == 0 or v != versions[-1]: versions.append(v) return\",\n \"engine if available.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._storage_engine @property def shards(self): \\\"\\\"\\\"Lazily\",\n \"1) # roll forward until we found a line with a datetime try:\",\n \"+ 1 # reset logfile self.filehandle.seek(0) def _check_for_restart(self, logevent): if (logevent.thread == 'initandlisten'\",\n \"if match: self._repl_set = match.group('replSet') match = re.search('engine: \\\"(?P<engine>\\\\S+)\\\"', line) if match: self._storage_engine\",\n \"buff = buff.decode(\\\"utf-8\\\", \\\"replace\\\") newline_pos = buff.rfind('\\\\n') if prev: newline_pos = buff[:newline_pos].rfind('\\\\n') #\",\n \"-abs(step_size) else: step_size = abs(step_size) if not le: return # now walk backwards\",\n \"\\\"\\\"\\\"Lazily return the chunks moved to this shard (if available)\\\"\\\"\\\" if not self._chunks_moved_to:\",\n \"= re.search(\\\"for (?P<shardName>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: shard_info = (match.group('shardName'), match.group('replSetMembers')) self._shards.append(shard_info) elif\",\n \"all restarts.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._restarts @property def rs_state(self): \\\"\\\"\\\"Lazy evaluation\",\n \"re.search(', protocolVersion: (?P<replSetProtocol>\\\\d+), ', line) if match: self._repl_set_protocol = match.group('replSetProtocol') match = re.search('members:\",\n \"elif \\\"jumbo\\\" in line: logevent = LogEvent(line) match = re.search('migration (?P<namespace>\\\\S+): \\\\[(?P<range>.*)\\\\)', prev_line)\",\n \"None and line[28:31].strip() in LogEvent.log_levels and line[31:39].strip() in LogEvent.log_components): self._has_level = True #\",\n \"self._hostname: host = self._hostname + ':' + self._port else: host = os.path.basename(self.name) host\",\n \"def repl_set(self): \\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set\",\n \"\\\"MongoDB log file format\\\" % self.filehandle.name) # get end datetime (lines are at\",\n \"= None self.filehandle.seek(0) # search for lower bound while abs(step_size) > 100: step_size\",\n \"(?P<replSetVersion>\\\\d+), ', line) if match: self._repl_set = match.group('replSet') self._repl_set_version = match.group('replSetVersion') match =\",\n \"given start_dt datetime obj using binary search. Only fast for files. Streams need\",\n \"\\\"\\\"\\\"Lazily return the shards (if available)\\\"\\\"\\\" if not self._shards: self._find_sharding_info() return self._shards @property\",\n \"= -abs(step_size) else: step_size = abs(step_size) if not le: return # now walk\",\n \"'mmapv1' \\\"\\\"\\\" For 3.2 the \\\"[initandlisten] options:\\\" no longer contains the \\\"engine\\\" field\",\n \"readline here because next() iterator uses internal readahead # buffer so seek position\",\n \"= self._start.replace(year=self._start.year - 1) self._year_rollover = self._end else: self._year_rollover = False # reset\",\n \"date if not self.end and self.from_stdin: if le and le.datetime: self._end = le.datetime\",\n \"(?P<range>.*\\\\}).*' 'to: \\\"(?P<movedTo>\\\\S+)\\\".*note: \\\"(?P<note>\\\\S+)\\\"', line) if match: time = logevent.datetime chunk_range = match.group('range')\",\n \"(?P<replSetMembers>[^]]+ ])', line) if match: self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if \\\"Starting\",\n \"def repl_set_members(self): \\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set_members\",\n \"self.from_stdin: if le and le.datetime: self._end = le.datetime # future iterations start from\",\n \"match = re.search('members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set_members = match.group('replSetMembers') # if\",\n \"not self._num_lines: self._iterate_lines() return self._hostname @property def port(self): \\\"\\\"\\\"Lazy evaluation of the binary\",\n \"return self._chunk_splits def next(self): \\\"\\\"\\\"Get next line, adjust for year rollover and hint\",\n \"return False def _calculate_bounds(self): \\\"\\\"\\\"Calculate beginning and end of logfile.\\\"\\\"\\\" if self._bounds_calculated: #\",\n \"match = re.search(':: caused by :: (?P<errmsg>\\\\S+):', prev_line) steps = None if match:\",\n \"tokens[-1] state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue if \\\"[rsMgr] replSet\\\" in line:\",\n \"else: match = re.search(':: caused by :: (?P<errmsg>\\\\S+):', prev_line) steps = None if\",\n \"_find_curr_line() self.prev_pos = None self._has_level = None # make sure bounds are calculated\",\n \"Track previous file position for loop detection in _find_curr_line() self.prev_pos = None self._has_level\",\n \"line if self._datetime_format and self._datetime_nextpos is not None: ret = le.set_datetime_hint(self._datetime_format, self._datetime_nextpos, self.year_rollover)\",\n \"logevent.datetime chunk_range = match.group('range') namespace = match.group('namespace') moved_to = match.group('movedTo') note = match.group('note')\",\n \"for lower bound while abs(step_size) > 100: step_size = ceil(step_size / 2.) self.filehandle.seek(step_size,\",\n \"__len__(self): \\\"\\\"\\\"Return the number of lines in a log file.\\\"\\\"\\\" return self.num_lines def\",\n \"file position for loop detection in _find_curr_line() self.prev_pos = None self._has_level = None\",\n \"error)) elif \\\"Unable to auto-split chunk\\\" in line: logevent = LogEvent(line) match =\",\n \"while True: try: le = self.next() except StopIteration as e: # end of\",\n \"file format\\\" % self.filehandle.name) # get end datetime (lines are at most 10k,\",\n \"calculated before starting to iterate, # including potential year rollovers self._calculate_bounds() @property def\",\n \"1) le = self._find_curr_line() if not le: break if le.datetime >= start_dt: step_size\",\n \"if (self._start is None): raise SystemExit(\\\"Error: <%s> does not appear to be a\",\n \"self.filehandle.tell() self.filehandle.seek(-min(self._filesize, 30000), 2) for line in reversed(self.filehandle.readlines()): logevent = LogEvent(line) if logevent.datetime:\",\n \"if match: self._repl_set = match.group('replSet') self._repl_set_version = match.group('replSetVersion') match = re.search(', protocolVersion: (?P<replSetProtocol>\\\\d+),\",\n \"evaluation of the binary name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._port @property def\",\n \"not self._num_lines: self._iterate_lines() return self._repl_set_version @property def repl_set_protocol(self): \\\"\\\"\\\"Return the replSet protocolVersion (if\",\n \":: (?P<errmsg>\\\\S+):', prev_line) steps = None if match: errmsg = match.group('errmsg') else: errmsg\",\n \"lines_checked = 0 # get start datetime for line in self.filehandle: logevent =\",\n \"ln = 0 for ln, line in enumerate(self.filehandle): if isinstance(line, bytes): line =\",\n \"match.group('engine') else: self._storage_engine = 'mmapv1' \\\"\\\"\\\" For 3.2 the \\\"[initandlisten] options:\\\" no longer\",\n \"and \\\"db version v\\\" in logevent.line_str): self._binary = 'mongod' elif logevent.thread == 'mongosMain'\",\n \"StopIteration: return states = (['PRIMARY', 'SECONDARY', 'DOWN', 'STARTUP', 'STARTUP2', 'RECOVERING', 'ROLLBACK', 'ARBITER', 'UNKNOWN'])\",\n \"None self._repl_set_protocol = None self._storage_engine = None self._datetime_format = None self._year_rollover = None\",\n \"Lazy evaluation of start and end of logfile. Returns None for stdin input\",\n \"self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if \\\"moveChunk.from\\\" in line: logevent = LogEvent(line)\",\n \"errmsg = match.group('errmsg') chunk_migration = (time, chunk_range, moved_from, namespace, steps, note, errmsg) self._chunks_moved_to.append(chunk_migration)\",\n \"re import sys from datetime import datetime from math import ceil from mtools.util.input_source\",\n \"'mongosMain' and ('MongoS' in logevent.line_str or 'mongos' in logevent.line_str): self._binary = 'mongos' else:\",\n \"all version changes.\\\"\\\"\\\" versions = [] for v, _ in self.restarts: if len(versions)\",\n \"offset error_context = 300 self.filehandle.seek(-error_context, 1) buff = self.filehandle.read(curr_pos) hr = \\\"-\\\" *\",\n \"# hint format and nextpos from previous line if self._datetime_format and self._datetime_nextpos is\",\n \"current seek position. \\\"\\\"\\\" curr_pos = self.filehandle.tell() # jump back 15k characters (at\",\n \"log line within max_start_lines max_start_lines = 10 lines_checked = 0 # get start\",\n \"self.name = filehandle.name self.from_stdin = filehandle.name == \\\"<stdin>\\\" self._bounds_calculated = False self._start =\",\n \"\\\"log line near offset %s in %s:\\\\n\\\\n%s\\\\n%s\\\\n\\\" \\\"<--- (current log parsing offset) \\\\n%s\\\\n%s\\\\n\\\"\",\n \"= match.group(\\\"time_taken\\\") numSplits = 0 success = True error = None self._chunk_splits.append((time, split_range,\",\n \"== -1: self.filehandle.seek(0) return self.next() self.filehandle.seek(newline_pos - jump_back + 1, 1) # roll\",\n \"for stdin input if not self.start and self.from_stdin: if le and le.datetime: self._start\",\n \"= True # find version string (fast check to eliminate most lines) if\",\n \"were only two engines, MMAPv1 and WiredTiger \\\"\\\"\\\" if \\\"[initandlisten] options:\\\" in line:\",\n \"= self.next() return logevent except StopIteration: # reached end of file return None\",\n \"= True return True def _find_curr_line(self, prev=False): \\\"\\\"\\\" Internal helper function. Find the\",\n \"previous \\\" \\\"log line near offset %s in %s:\\\\n\\\\n%s\\\\n%s\\\\n\\\" \\\"<--- (current log parsing\",\n \"until we found a line with a datetime try: logevent = self.next() while\",\n \"step_size = -abs(step_size) else: step_size = abs(step_size) if not le: return # now\",\n \"':' + self._port else: host = os.path.basename(self.name) host += ' (self)' if tokens[-1]\",\n \"= LogEvent(line) if logevent.datetime: self._end = logevent.datetime break # if there was a\",\n \"sure bounds are calculated before starting to iterate, # including potential year rollovers\",\n \"config:\\\" in line: self._storage_engine = 'wiredTiger' if \\\"command admin.$cmd command: { replSetInitiate:\\\" in\",\n \"line: logevent = LogEvent(line) match = re.search(\\\"chunk \\\\[(?P<range>.*)\\\\) \\\" 'in namespace (?P<namespace>\\\\S+)' '\",\n \"if match: shard_info = (match.group('shardName'), match.group('replSetMembers')) self._shards.append(shard_info) elif self.binary == \\\"mongod\\\": logevent =\",\n \"in use: \\\") if new_config in line: match = re.search('{ _id: \\\"(?P<replSet>\\\\S+)\\\", '\",\n \"seek position. \\\"\\\"\\\" curr_pos = self.filehandle.tell() # jump back 15k characters (at most)\",\n \"None self._rs_state = None self._repl_set = None self._repl_set_members = None self._repl_set_version = None\",\n \"wiredtiger_open config:\\\" which was present in 3.0, but would now tell us definitively\",\n \"self._repl_set_protocol @property def storage_engine(self): \\\"\\\"\\\"Return storage engine if available.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines()\",\n \"self._num_lines: self._iterate_lines() return self._repl_set @property def repl_set_members(self): \\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\" if\",\n \"now walk backwards until we found a truly smaller line while self.filehandle.tell() >=\",\n \"= match.group('replSet') match = re.search('engine: \\\"(?P<engine>\\\\S+)\\\"', line) if match: self._storage_engine = match.group('engine') else:\",\n \"show before/after the log offset error_context = 300 self.filehandle.seek(-error_context, 1) buff = self.filehandle.read(curr_pos)\",\n \"line) if match: self._storage_engine = match.group('engine') else: self._storage_engine = 'mmapv1' \\\"\\\"\\\" For 3.2\",\n \"of timezone of logfile.\\\"\\\"\\\" if not self._timezone: self._calculate_bounds() return self._timezone @property def filesize(self):\",\n \"a log file.\\\"\\\"\\\" return self.num_lines def _iterate_lines(self): \\\"\\\"\\\"Count number of lines (can be\",\n \"not self._chunks_moved_from: self._find_sharding_info() return self._chunks_moved_from @property def chunk_splits(self): \\\"\\\"\\\"Lazily return the chunks split\",\n \"the beginning if not self.from_stdin: self.filehandle.seek(0) # return (instead of raising StopIteration exception)\",\n \"if self.binary == \\\"mongos\\\": if \\\"Starting new replica set monitor for\\\" in line:\",\n \"not le: return # now walk backwards until we found a truly smaller\",\n \"if line.endswith(state))): if \\\"is now in state\\\" in line: tokens = line.split() #\",\n \"except StopIteration: # reached end of file return None def _find_sharding_info(self): \\\"\\\"\\\" Iterate\",\n \"split_range = match.group(\\\"range\\\") namespace = match.group(\\\"namespace\\\") time_taken = match.group(\\\"time_taken\\\") numSplits = 0 success\",\n \"success, time_taken, error)) elif \\\"jumbo\\\" in line: logevent = LogEvent(line) match = re.search('migration\",\n \"and end of logfile.\\\"\\\"\\\" if self._bounds_calculated: # Assume no need to recalc bounds\",\n \"error = None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \\\"splitVector\\\" in\",\n \"the \\\"engine\\\" field So now we have to look for the \\\"[initandlisten] wiredtiger_open\",\n \"None self.filehandle.seek(0) # search for lower bound while abs(step_size) > 100: step_size =\",\n \"self._timezone = logevent.datetime.tzinfo self._datetime_format = logevent.datetime_format self._datetime_nextpos = logevent._datetime_nextpos break if lines_checked >\",\n \"class LogFile(InputSource): \\\"\\\"\\\"Log file wrapper class. Handles open file streams or stdin.\\\"\\\"\\\" def\",\n \"if \\\"Starting new replica set monitor for\\\" in line: if \\\"[mongosMain]\\\" in line:\",\n \"match: time = logevent.datetime chunk_range = match.group('range') namespace = match.group('namespace') # TODO: alter\",\n \"self._iterate_lines() return self._rs_state @property def binary(self): \\\"\\\"\\\"Lazy evaluation of the binary name.\\\"\\\"\\\" if\",\n \"= LogEvent(line) match = re.search('migration (?P<namespace>\\\\S+): \\\\[(?P<range>.*)\\\\)', prev_line) if match: time = logevent.datetime\",\n \"ln + 1 # reset logfile self.filehandle.seek(0) def _check_for_restart(self, logevent): if (logevent.thread ==\",\n \"else: self._year_rollover = False # reset logfile self.filehandle.seek(0) self._bounds_calculated = True return True\",\n \"from datetime import datetime from math import ceil from mtools.util.input_source import InputSource from\",\n \"would now tell us definitively that wiredTiger is being used \\\"\\\"\\\" if \\\"[initandlisten]\",\n \"= buff.decode(\\\"utf-8\\\", \\\"replace\\\") newline_pos = buff.rfind('\\\\n') if prev: newline_pos = buff[:newline_pos].rfind('\\\\n') # move\",\n \"if match: errmsg = match.group('errmsg') chunk_migration = (time, chunk_range, moved_from, namespace, steps, note,\",\n \"prev=True) line in a log file based on the current seek position. \\\"\\\"\\\"\",\n \"level lines.\\\"\\\"\\\" if self._has_level is None: self._iterate_lines() return self._has_level @property def year_rollover(self): \\\"\\\"\\\"Lazy\",\n \"walk backwards until we found a truly smaller line while self.filehandle.tell() >= 2\",\n \"step_size = abs(step_size) if not le: return # now walk backwards until we\",\n \"0 success = False time_taken = 0 error = \\\"Jumbo\\\" self._chunk_splits.append((time, split_range, namespace,\",\n \"return self._has_level @property def year_rollover(self): \\\"\\\"\\\"Lazy evaluation of the datetime format.\\\"\\\"\\\" if self._year_rollover\",\n \"return self._rs_state @property def binary(self): \\\"\\\"\\\"Lazy evaluation of the binary name.\\\"\\\"\\\" if not\",\n \"chunk_range = match.group('range') namespace = match.group('namespace') moved_to = match.group('movedTo') note = match.group('note') if\",\n \"None self._timezone = None self._hostname = None self._port = None self._rs_state = None\",\n \"stdin.\\\"\\\"\\\" self.filehandle = filehandle self.name = filehandle.name self.from_stdin = filehandle.name == \\\"<stdin>\\\" self._bounds_calculated\",\n \"Handles open file streams or stdin.\\\"\\\"\\\" def __init__(self, filehandle): \\\"\\\"\\\"Provide logfile as open\",\n \"\\\"[initandlisten] options:\\\" in line: match = re.search('replSet: \\\"(?P<replSet>\\\\S+)\\\"', line) if match: self._repl_set =\",\n \"of file return None def _find_sharding_info(self): \\\"\\\"\\\" Iterate over file and find any\",\n \"== 'mongosMain' and ('MongoS' in logevent.line_str or 'mongos' in logevent.line_str): self._binary = 'mongos'\",\n \"self.from_stdin: return None if not self._filesize: self._calculate_bounds() return self._filesize @property def datetime_format(self): \\\"\\\"\\\"Lazy\",\n \"'replace') if line == '': raise StopIteration line = line.rstrip('\\\\n') le = LogEvent(line)\",\n \"offset %s in %s:\\\\n\\\\n%s\\\\n%s\\\\n\\\" \\\"<--- (current log parsing offset) \\\\n%s\\\\n%s\\\\n\\\" % (curr_pos, self.name,\",\n \"= \\\"Unknown\\\" chunk_migration = (time, chunk_range, moved_to, namespace, steps, note, errmsg) self._chunks_moved_from.append(chunk_migration) if\",\n \"log file based on the current seek position. \\\"\\\"\\\" curr_pos = self.filehandle.tell() #\",\n \"if not le: break if le.datetime >= start_dt: step_size = -abs(step_size) else: step_size\",\n \"self._iterate_lines() return self._port @property def versions(self): \\\"\\\"\\\"Return all version changes.\\\"\\\"\\\" versions = []\",\n \"if there was a roll-over, subtract 1 year from start time if self._end\",\n \"None namespace = match.group(\\\"namespace\\\") numSplits = match.group('numSplits') success = None time_taken = 0\",\n \"a datetime try: logevent = self.next() while not logevent.datetime: logevent = self.next() return\",\n \"0 success = False time_taken = 0 error = match.group(\\\"error\\\") self._chunk_splits.append((time, split_range, namespace,\",\n \"self._check_for_restart(logevent) if restart: self._restarts.append((restart, logevent)) if \\\"starting :\\\" in line or \\\"starting:\\\" in\",\n \"' 'version: (?P<replSetVersion>\\\\d+), ', line) if match: self._repl_set = match.group('replSet') self._repl_set_version = match.group('replSetVersion')\",\n \"(?P<range>.*\\\\}).*.*note: \\\"(?P<note>\\\\S+)\\\"', line) if match: time = logevent.datetime chunk_range = match.group('range') namespace =\",\n \"self._csrs and match.group('replSet') != self._csrs[0]: self._shards.append(( match.group('replSet'), match.group('replSetMembers') )) elif not self._csrs: self._csrs\",\n \"0) if prev and self.prev_pos is not None and self.prev_pos == curr_pos: #\",\n \"try: logevent = self.next() while not logevent.datetime: logevent = self.next() return logevent except\",\n \"if match: time = logevent.datetime split_range = match.group(\\\"range\\\") namespace = match.group(\\\"namespace\\\") time_taken =\",\n \"== \\\"success\\\": errmsg = None steps = re.findall('(?P<steps>step \\\\d of \\\\d): (?P<stepTimes>\\\\d+)', line)\",\n \"to look for the \\\"[initandlisten] wiredtiger_open config:\\\" which was present in 3.0, but\",\n \"self._repl_set = match.group('replSet') match = re.search('engine: \\\"(?P<engine>\\\\S+)\\\"', line) if match: self._storage_engine = match.group('engine')\",\n \"find last newline char jump_back = min(self.filehandle.tell(), 15000) self.filehandle.seek(-jump_back, 1) buff = self.filehandle.read(jump_back)\",\n \"le = self._find_curr_line() if not le: break if le.datetime >= start_dt: step_size =\",\n \"= logevent.datetime split_range = None namespace = match.group(\\\"namespace\\\") numSplits = match.group('numSplits') success =\",\n \"logevent.datetime break # if there was a roll-over, subtract 1 year from start\",\n \"for state in states if line.endswith(state))): if \\\"is now in state\\\" in line:\",\n \"= filehandle.name == \\\"<stdin>\\\" self._bounds_calculated = False self._start = None self._end = None\",\n \"tokens[-1] in self.states: rs_state = tokens[-1] else: # 2.6 if tokens[1].endswith(']'): pos =\",\n \"host += ' (self)' if tokens[-1] in self.states: rs_state = tokens[-1] else: #\",\n \"in state\\\" in line: tokens = line.split() # 2.6 if tokens[1].endswith(']'): pos =\",\n \"self._has_level @property def year_rollover(self): \\\"\\\"\\\"Lazy evaluation of the datetime format.\\\"\\\"\\\" if self._year_rollover is\",\n \"\\\" \\\"log line near offset %s in %s:\\\\n\\\\n%s\\\\n%s\\\\n\\\" \\\"<--- (current log parsing offset)\",\n \"for v, _ in self.restarts: if len(versions) == 0 or v != versions[-1]:\",\n \"self._chunks_moved_from @property def chunk_splits(self): \\\"\\\"\\\"Lazily return the chunks split in this shard (if\",\n \"end of logfile. Returns None for stdin input currently. \\\"\\\"\\\" if not self._start:\",\n \"e: # end of log file, get end date if not self.end and\",\n \"self.next() return logevent except StopIteration: # reached end of file return None def\",\n \"position is wrong line = self.filehandle.readline() if isinstance(line, bytes): line = line.decode('utf-8', 'replace')\",\n \"it consumes the log line). \\\"\\\"\\\" if self.from_stdin: # skip lines until start_dt\",\n \"shard name when SERVER-45770 TICKET is added moved_from = \\\"Unknown\\\" note = match.group('note')\",\n \"= line.rstrip('\\\\n') le = LogEvent(line) # hint format and nextpos from previous line\",\n \"find version string (fast check to eliminate most lines) if \\\"version\\\" in line[:100]:\",\n \"if logevent.datetime: self._start = logevent.datetime self._timezone = logevent.datetime.tzinfo self._datetime_format = logevent.datetime_format self._datetime_nextpos =\",\n \"@property def restarts(self): \\\"\\\"\\\"Lazy evaluation of all restarts.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return\",\n \"return # now walk backwards until we found a truly smaller line while\",\n \"= ( match.group('replSet'), match.group('replSetMembers') ) if \\\"moveChunk.from\\\" in line: logevent = LogEvent(line) match\",\n \"whether the logfile has any level lines.\\\"\\\"\\\" if self._has_level is None: self._iterate_lines() return\",\n \"we catch one) self.filehandle.seek(0, 2) self._filesize = self.filehandle.tell() self.filehandle.seek(-min(self._filesize, 30000), 2) for line\",\n \"\\\"\\\"\\\" if not self._start: self._calculate_bounds() return self._start @property def end(self): \\\"\\\"\\\" Lazy evaluation\",\n \"\\\"engine\\\" field So now we have to look for the \\\"[initandlisten] wiredtiger_open config:\\\"\",\n \"self._has_level = None # make sure bounds are calculated before starting to iterate,\",\n \"if le and le.datetime: self._start = le.datetime try: yield le except StopIteration: return\",\n \"= re.search('splitVector: \\\"(?P<namespace>\\\\S+)\\\".*,' ' (?P<range>min:.*), max.*op_msg (?P<time_taken>\\\\d+)', line) if match: time = logevent.datetime\",\n \"use\\\" in line: if \\\"configsvr: true\\\" in line: match = re.search(' _id: \\\"(?P<replSet>\\\\S+)\\\".*'\",\n \"if match: time = logevent.datetime chunk_range = match.group('range') namespace = match.group('namespace') # TODO:\",\n \"available)\\\"\\\"\\\" if not self._chunks_moved_from: self._find_sharding_info() return self._chunks_moved_from @property def chunk_splits(self): \\\"\\\"\\\"Lazily return the\",\n \"# search for lower bound while abs(step_size) > 100: step_size = ceil(step_size /\",\n \"LogEvent class LogFile(InputSource): \\\"\\\"\\\"Log file wrapper class. Handles open file streams or stdin.\\\"\\\"\\\"\",\n \"if WiredTiger was the storage engine. There were only two engines, MMAPv1 and\",\n \"name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._binary @property def hostname(self): \\\"\\\"\\\"Lazy evaluation of\",\n \"first datetime self.filehandle.seek(0) le = self.next() if le.datetime and le.datetime >= start_dt: self.filehandle.seek(0)\",\n \"split_range = None namespace = match.group(\\\"namespace\\\") numSplits = match.group('numSplits') success = None time_taken\",\n \"self._start @property def end(self): \\\"\\\"\\\" Lazy evaluation of start and end of logfile.\",\n \"WiredTiger \\\"\\\"\\\" if \\\"[initandlisten] options:\\\" in line: match = re.search('replSet: \\\"(?P<replSet>\\\\S+)\\\"', line) if\",\n \"= curr_pos if isinstance(buff, bytes): buff = buff.decode(\\\"utf-8\\\", \\\"replace\\\") newline_pos = buff.rfind('\\\\n') if\",\n \"self.from_stdin = filehandle.name == \\\"<stdin>\\\" self._bounds_calculated = False self._start = None self._end =\",\n \"= 0 error = \\\"Jumbo\\\" self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) prev_line\",\n \"that would otherwise match (as it consumes the log line). \\\"\\\"\\\" if self.from_stdin:\",\n \"before/after the log offset error_context = 300 self.filehandle.seek(-error_context, 1) buff = self.filehandle.read(curr_pos) hr\",\n \"a truly smaller line while self.filehandle.tell() >= 2 and (le.datetime is None or\",\n \"self.filehandle.name) else: self.prev_pos = curr_pos if isinstance(buff, bytes): buff = buff.decode(\\\"utf-8\\\", \\\"replace\\\") newline_pos\",\n \"= None steps = re.findall('(?P<steps>step \\\\d of \\\\d): (?P<stepTimes>\\\\d+)', line) else: steps =\",\n \"break if lines_checked > max_start_lines: break # sanity check before attempting to find\",\n \"(['PRIMARY', 'SECONDARY', 'DOWN', 'STARTUP', 'STARTUP2', 'RECOVERING', 'ROLLBACK', 'ARBITER', 'UNKNOWN']) def __len__(self): \\\"\\\"\\\"Return the\",\n \"in _find_curr_line() self.prev_pos = None self._has_level = None # make sure bounds are\",\n \"bytes): line = line.decode('utf-8', 'replace') if line == '': raise StopIteration line =\",\n \"line or \\\"starting:\\\" in line: # look for hostname, port match = re.search('port=(?P<port>\\\\d+).*host=(?P<host>\\\\S+)',\",\n \"'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set = match.group('replSet') self._repl_set_members = match.group('replSetMembers') #\",\n \"the binary name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._port @property def versions(self): \\\"\\\"\\\"Return\",\n \"\\\"Unknown\\\" note = match.group('note') if note == \\\"success\\\": errmsg = None steps =\",\n \"= None self._num_lines = None self._restarts = None self._binary = None self._timezone =\",\n \"in line: logevent = LogEvent(line) match = re.search('migration (?P<namespace>\\\\S+): \\\\[(?P<range>.*)\\\\)', prev_line) if match:\",\n \"None time_taken = 0 error = None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken,\",\n \"(if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set @property def repl_set_members(self): \\\"\\\"\\\"Return the\",\n \"line) if match: self._repl_set = match.group('replSet') self._repl_set_version = match.group('replSetVersion') match = re.search(', protocolVersion:\",\n \"parsing offset) \\\\n%s\\\\n%s\\\\n\\\" % (curr_pos, self.name, hr, buff[:error_context], buff[error_context:error_context + 1], hr), file=sys.stderr)\",\n \"ret: # logevent indicates timestamp format has changed, # invalidate hint info self._datetime_format\",\n \"set monitor for\\\" in line: match = re.search(\\\"for (?P<replSet>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match:\",\n \"moved_to, namespace, steps, note, errmsg) self._chunks_moved_from.append(chunk_migration) if \\\"moveChunk.to\\\" in line: logevent = LogEvent(line)\",\n \"line while self.filehandle.tell() >= 2 and (le.datetime is None or le.datetime >= start_dt):\",\n \"# invalidate hint info self._datetime_format = None self._datetime_nextpos = None elif le.datetime: #\",\n \"10 lines_checked = 0 # get start datetime for line in self.filehandle: logevent\",\n \"\\\"Unknown\\\" chunk_migration = (time, chunk_range, moved_to, namespace, steps, note, errmsg) self._chunks_moved_from.append(chunk_migration) if \\\"moveChunk.to\\\"\",\n \"LogEvent(line) lines_checked += 1 if logevent.datetime: self._start = logevent.datetime self._timezone = logevent.datetime.tzinfo self._datetime_format\",\n \"version changes.\\\"\\\"\\\" versions = [] for v, _ in self.restarts: if len(versions) ==\",\n \"for year rollover and hint datetime format.\\\"\\\"\\\" # use readline here because next()\",\n \"= re.search('migration (?P<namespace>\\\\S+): \\\\[(?P<range>.*)\\\\)', prev_line) if match: time = logevent.datetime split_range = match.group(\\\"range\\\")\",\n \"#!/usr/bin/env python3 from __future__ import print_function import os import re import sys from\",\n \"host = os.path.basename(self.name) host += ' (self)' if tokens[-1] in self.states: rs_state =\",\n \"self._repl_set_version = match.group('replSetVersion') match = re.search(', protocolVersion: (?P<replSetProtocol>\\\\d+), ', line) if match: self._repl_set_protocol\",\n \"' '.join(tokens[pos:]) state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue self._num_lines = ln +\",\n \"lines in a log file.\\\"\\\"\\\" return self.num_lines def _iterate_lines(self): \\\"\\\"\\\"Count number of lines\",\n \"return self._restarts @property def rs_state(self): \\\"\\\"\\\"Lazy evaluation of all restarts.\\\"\\\"\\\" if not self._num_lines:\",\n \"self._year_rollover is None: self._calculate_bounds() return self._year_rollover @property def num_lines(self): \\\"\\\"\\\" Lazy evaluation of\",\n \"using binary search. Only fast for files. Streams need to be forwarded manually,\",\n \"not appear to be a supported \\\" \\\"MongoDB log file format\\\" % self.filehandle.name)\",\n \"found a line with a datetime try: logevent = self.next() while not logevent.datetime:\",\n \"self._storage_engine = match.group('engine') else: self._storage_engine = 'mmapv1' \\\"\\\"\\\" For 3.2 the \\\"[initandlisten] options:\\\"\",\n \"self._datetime_nextpos = logevent._datetime_nextpos break if lines_checked > max_start_lines: break # sanity check before\",\n \"forwarded manually, and it will miss the first line that would otherwise match\",\n \"the \\\"[initandlisten] wiredtiger_open config:\\\" which was present in 3.0, but would now tell\",\n \"import print_function import os import re import sys from datetime import datetime from\",\n \"line, adjust for year rollover and hint datetime format.\\\"\\\"\\\" # use readline here\",\n \"= \\\"\\\" for line in self.filehandle: if isinstance(line, bytes): line = line.decode(\\\"utf-8\\\", \\\"replace\\\")\",\n \"the \\\"engine\\\" field if WiredTiger was the storage engine. There were only two\",\n \"tokens[1].endswith(']'): pos = 2 else: pos = 6 rs_state = ' '.join(tokens[pos:]) state\",\n \"Find the current (or previous if prev=True) line in a log file based\",\n \"curr_pos: # Number of characters to show before/after the log offset error_context =\",\n \"# Track previous file position for loop detection in _find_curr_line() self.prev_pos = None\",\n \"check if start_dt is already smaller than first datetime self.filehandle.seek(0) le = self.next()\",\n \"the binary name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._hostname @property def port(self): \\\"\\\"\\\"Lazy\",\n \"except StopIteration as e: # end of log file, get end date if\",\n \"return version else: return False def _calculate_bounds(self): \\\"\\\"\\\"Calculate beginning and end of logfile.\\\"\\\"\\\"\",\n \"self._datetime_format and self._datetime_nextpos is not None: ret = le.set_datetime_hint(self._datetime_format, self._datetime_nextpos, self.year_rollover) if not\",\n \"mtools.util.input_source import InputSource from mtools.util.logevent import LogEvent class LogFile(InputSource): \\\"\\\"\\\"Log file wrapper class.\",\n \"else: match = re.search(\\\"for (?P<shardName>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: shard_info = (match.group('shardName'), match.group('replSetMembers'))\",\n \"was the storage engine. There were only two engines, MMAPv1 and WiredTiger \\\"\\\"\\\"\",\n \"= le.datetime # future iterations start from the beginning if not self.from_stdin: self.filehandle.seek(0)\",\n \"for line in reversed(self.filehandle.readlines()): logevent = LogEvent(line) if logevent.datetime: self._end = logevent.datetime break\",\n \"= re.search(':: caused by :: (?P<errmsg>\\\\S+):', prev_line) steps = None if match: errmsg\",\n \"max_start_lines: break # sanity check before attempting to find end date if (self._start\",\n \"a valid log line within max_start_lines max_start_lines = 10 lines_checked = 0 #\",\n \"line in reversed(self.filehandle.readlines()): logevent = LogEvent(line) if logevent.datetime: self._end = logevent.datetime break #\",\n \"changes.\\\"\\\"\\\" versions = [] for v, _ in self.restarts: if len(versions) == 0\",\n \"self._end < self._start: self._start = self._start.replace(year=self._start.year - 1) self._year_rollover = self._end else: self._year_rollover\",\n \"= None namespace = match.group(\\\"namespace\\\") numSplits = match.group('numSplits') success = None time_taken =\",\n \"subtract 1 year from start time if self._end < self._start: self._start = self._start.replace(year=self._start.year\",\n \"potential year rollovers self._calculate_bounds() @property def start(self): \\\"\\\"\\\" Lazy evaluation of start and\",\n \"replSet (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set_version @property def repl_set_protocol(self): \\\"\\\"\\\"Return\",\n \"skip lines until start_dt is reached return else: # fast bisection path max_mark\",\n \"return self._chunks_moved_from @property def chunk_splits(self): \\\"\\\"\\\"Lazily return the chunks split in this shard\",\n \"log parsing loop detected trying to find previous \\\" \\\"log line near offset\",\n \"if isinstance(line, bytes): line = line.decode(\\\"utf-8\\\", \\\"replace\\\") if (self._has_level is None and line[28:31].strip()\",\n \"Lazy evaluation of the number of lines. Returns None for stdin input currently.\",\n \"in line: match = re.search(\\\"for (?P<replSet>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: if self._csrs and\",\n \"in MongoDB 3.0+ new_config = (\\\"New replica set config in use: \\\") if\",\n \"line) if match: self._repl_set = match.group('replSet') self._repl_set_members = match.group('replSetMembers') # Replica set config\",\n \"the replSet (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set_version @property def repl_set_protocol(self):\",\n \"= re.search(\\\"chunk \\\\[(?P<range>.*)\\\\) \\\" 'in namespace (?P<namespace>\\\\S+)' ' :: caused by :: (?P<error>\\\\S+):\",\n \"try: le = self.next() except StopIteration as e: # end of log file,\",\n \"sys from datetime import datetime from math import ceil from mtools.util.input_source import InputSource\",\n \"the CSRS (if available)\\\"\\\"\\\" if not self._csrs: self._find_sharding_info() return self._csrs @property def chunks_moved_to(self):\",\n \"\\\"New replica set config in use\\\" in line: if \\\"configsvr: true\\\" in line:\",\n \"def repl_set_version(self): \\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set_version\",\n \"# gather new hint info from another logevent self._datetime_format = le.datetime_format self._datetime_nextpos =\",\n \"self._find_sharding_info() return self._csrs @property def chunks_moved_to(self): \\\"\\\"\\\"Lazily return the chunks moved to this\",\n \"exception) per PEP 479 return # get start date for stdin input if\",\n \"or \\\"starting:\\\" in line: # look for hostname, port match = re.search('port=(?P<port>\\\\d+).*host=(?P<host>\\\\S+)', line)\",\n \"self._chunks_moved_from = None self._chunks_moved_to = None self._chunk_splits = None # Track previous file\",\n \"start_dt): \\\"\\\"\\\" Fast-forward file to given start_dt datetime obj using binary search. Only\",\n \"Streams need to be forwarded manually, and it will miss the first line\",\n \"\\\"-\\\" * 60 print(\\\"Fatal log parsing loop detected trying to find previous \\\"\",\n \"def timezone(self): \\\"\\\"\\\"Lazy evaluation of timezone of logfile.\\\"\\\"\\\" if not self._timezone: self._calculate_bounds() return\",\n \"\\\"Jumbo\\\" self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) prev_line = line # reset\",\n \"\\\"\\\"\\\"Count number of lines (can be expensive).\\\"\\\"\\\" self._num_lines = 0 self._restarts = []\",\n \"bytes): buff = buff.decode(\\\"utf-8\\\", \\\"replace\\\") newline_pos = buff.rfind('\\\\n') if prev: newline_pos = buff[:newline_pos].rfind('\\\\n')\",\n \"logfile.\\\"\\\"\\\" if self._bounds_calculated: # Assume no need to recalc bounds for lifetime of\",\n \"'UNKNOWN']) def __len__(self): \\\"\\\"\\\"Return the number of lines in a log file.\\\"\\\"\\\" return\",\n \"in line: match = re.search('replSet: \\\"(?P<replSet>\\\\S+)\\\"', line) if match: self._repl_set = match.group('replSet') match\",\n \"loop detected trying to find previous \\\" \\\"log line near offset %s in\",\n \"if not self._num_lines: self._iterate_lines() return self._binary @property def hostname(self): \\\"\\\"\\\"Lazy evaluation of the\",\n \"in line: if \\\"[mongosMain]\\\" in line: match = re.search(\\\"for (?P<csrsName>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if\",\n \"10k, # go back 30k at most to make sure we catch one)\",\n \"import ceil from mtools.util.input_source import InputSource from mtools.util.logevent import LogEvent class LogFile(InputSource): \\\"\\\"\\\"Log\",\n \"start datetime for line in self.filehandle: logevent = LogEvent(line) lines_checked += 1 if\",\n \"and end of logfile. Returns None for stdin input currently. \\\"\\\"\\\" if not\",\n \"line) if match: self._hostname = match.group('host') self._port = match.group('port') \\\"\\\"\\\" For 3.0 the\",\n \"(self)' if tokens[-1] in self.states: rs_state = tokens[-1] else: # 2.6 if tokens[1].endswith(']'):\",\n \"return self._chunks_moved_to @property def chunks_moved_from(self): \\\"\\\"\\\"Lazily return the chunks moved from this shard\",\n \"evaluation of timezone of logfile.\\\"\\\"\\\" if not self._timezone: self._calculate_bounds() return self._timezone @property def\",\n \"self._num_lines: self._iterate_lines() return self._storage_engine @property def shards(self): \\\"\\\"\\\"Lazily return the shards (if available)\\\"\\\"\\\"\",\n \"end datetime (lines are at most 10k, # go back 30k at most\",\n \"(generator). \\\"\\\"\\\" le = None while True: try: le = self.next() except StopIteration\",\n \"{ (?P<range>.*\\\\}).*' 'to: \\\"(?P<movedTo>\\\\S+)\\\".*note: \\\"(?P<note>\\\\S+)\\\"', line) if match: time = logevent.datetime chunk_range =\",\n \"\\\"Unable to auto-split chunk\\\" in line: logevent = LogEvent(line) match = re.search(\\\"chunk \\\\[(?P<range>.*)\\\\)\",\n \"\\\"\\\"\\\" if self.from_stdin: # skip lines until start_dt is reached return else: #\",\n \"success = True error = None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error))\",\n \"self._binary = None self._timezone = None self._hostname = None self._port = None self._rs_state\",\n \"None while True: try: le = self.next() except StopIteration as e: # end\",\n \"\\\"\\\"\\\" For 3.2 the \\\"[initandlisten] options:\\\" no longer contains the \\\"engine\\\" field So\",\n \"of the datetime format.\\\"\\\"\\\" if not self._datetime_format: self._calculate_bounds() return self._datetime_format @property def has_level(self):\",\n \"self._csrs = None self._chunks_moved_from = None self._chunks_moved_to = None self._chunk_splits = None #\",\n \"= (time, chunk_range, moved_from, namespace, steps, note, errmsg) self._chunks_moved_to.append(chunk_migration) if \\\"Finding the split\",\n \"@property def filesize(self): \\\"\\\"\\\" Lazy evaluation of start and end of logfile. Returns\",\n \"match: self._repl_set = match.group('replSet') match = re.search('engine: \\\"(?P<engine>\\\\S+)\\\"', line) if match: self._storage_engine =\",\n \"= re.findall('(?P<steps>step \\\\d of \\\\d): (?P<stepTimes>\\\\d+)', line) else: steps = None match =\",\n \"\\\"\\\"\\\"Lazy evaluation of the datetime format.\\\"\\\"\\\" if not self._datetime_format: self._calculate_bounds() return self._datetime_format @property\",\n \"None and self.prev_pos == curr_pos: # Number of characters to show before/after the\",\n \"is None: self._iterate_lines() return self._has_level @property def year_rollover(self): \\\"\\\"\\\"Lazy evaluation of the datetime\",\n \"(if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set_version @property def repl_set_protocol(self): \\\"\\\"\\\"Return the\",\n \"(instead of raising StopIteration exception) per PEP 479 return # get start date\",\n \"@property def hostname(self): \\\"\\\"\\\"Lazy evaluation of the binary name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines()\",\n \"\\\"\\\"\\\" if \\\"[initandlisten] wiredtiger_open config:\\\" in line: self._storage_engine = 'wiredTiger' if \\\"command admin.$cmd\",\n \"self.filehandle.seek(0) def fast_forward(self, start_dt): \\\"\\\"\\\" Fast-forward file to given start_dt datetime obj using\",\n \"port match = re.search('port=(?P<port>\\\\d+).*host=(?P<host>\\\\S+)', line) if match: self._hostname = match.group('host') self._port = match.group('port')\",\n \"(time, chunk_range, moved_to, namespace, steps, note, errmsg) self._chunks_moved_from.append(chunk_migration) if \\\"moveChunk.to\\\" in line: logevent\",\n \"self._repl_set_members @property def repl_set_version(self): \\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines()\",\n \"self.filehandle.seek(step_size, 1) le = self._find_curr_line() if not le: break if le.datetime >= start_dt:\",\n \"# return (instead of raising StopIteration exception) per PEP 479 return # get\",\n \"entry contained the \\\"engine\\\" field if WiredTiger was the storage engine. There were\",\n \"is reached return else: # fast bisection path max_mark = self.filesize step_size =\",\n \"csrs_info = (match.group('csrsName'), match.group('replSetMembers')) self._csrs = csrs_info else: match = re.search(\\\"for (?P<shardName>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\",\",\n \"-1: self.filehandle.seek(0) return self.next() self.filehandle.seek(newline_pos - jump_back + 1, 1) # roll forward\",\n \"self._chunk_splits: self._find_sharding_info() return self._chunk_splits def next(self): \\\"\\\"\\\"Get next line, adjust for year rollover\",\n \"match.group('errmsg') else: errmsg = \\\"Unknown\\\" chunk_migration = (time, chunk_range, moved_to, namespace, steps, note,\",\n \"@property def start(self): \\\"\\\"\\\" Lazy evaluation of start and end of logfile. Returns\",\n \"match = re.search('errmsg: \\\"(?P<errmsg>.*)\\\"', line) if match: errmsg = match.group('errmsg') chunk_migration = (time,\",\n \"True: try: le = self.next() except StopIteration as e: # end of log\",\n \"for stdin input currently. \\\"\\\"\\\" if self.from_stdin: return None if not self._num_lines: self._iterate_lines()\",\n \"le.datetime: self._end = le.datetime # future iterations start from the beginning if not\",\n \"if match: csrs_info = (match.group('csrsName'), match.group('replSetMembers')) self._csrs = csrs_info else: match = re.search(\\\"for\",\n \"(?P<numSplits>\\\\d+)', line) if match: time = logevent.datetime split_range = None namespace = match.group(\\\"namespace\\\")\",\n \"options:\\\" in line: match = re.search('replSet: \\\"(?P<replSet>\\\\S+)\\\"', line) if match: self._repl_set = match.group('replSet')\",\n \"= 'wiredTiger' if \\\"command admin.$cmd command: { replSetInitiate:\\\" in line: match = re.search('{\",\n \"= self.filehandle.read(curr_pos) hr = \\\"-\\\" * 60 print(\\\"Fatal log parsing loop detected trying\",\n \"position for loop detection in _find_curr_line() self.prev_pos = None self._has_level = None #\",\n \"num_lines(self): \\\"\\\"\\\" Lazy evaluation of the number of lines. Returns None for stdin\",\n \"binary name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._binary @property def hostname(self): \\\"\\\"\\\"Lazy evaluation\",\n \"self._num_lines: self._iterate_lines() return self._repl_set_members @property def repl_set_version(self): \\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\" if\",\n \"self._csrs: self._find_sharding_info() return self._csrs @property def chunks_moved_to(self): \\\"\\\"\\\"Lazily return the chunks moved to\",\n \"raise StopIteration line = line.rstrip('\\\\n') le = LogEvent(line) # hint format and nextpos\",\n \"le def __iter__(self): \\\"\\\"\\\" Iterate over LogFile object. Return a LogEvent object for\",\n \"caused by :: (?P<errmsg>\\\\S+):', prev_line) steps = None if match: errmsg = match.group('errmsg')\",\n \"reached return else: # fast bisection path max_mark = self.filesize step_size = max_mark\",\n \"return self.num_lines def _iterate_lines(self): \\\"\\\"\\\"Count number of lines (can be expensive).\\\"\\\"\\\" self._num_lines =\",\n \"rs_state, LogEvent(line)) self._rs_state.append(state) continue if \\\"[rsMgr] replSet\\\" in line: tokens = line.split() if\",\n \"continue self._num_lines = ln + 1 # reset logfile self.filehandle.seek(0) def _check_for_restart(self, logevent):\",\n \"abs(step_size) if not le: return # now walk backwards until we found a\",\n \"line: # look for hostname, port match = re.search('port=(?P<port>\\\\d+).*host=(?P<host>\\\\S+)', line) if match: self._hostname\",\n \"prev_line) steps = None if match: errmsg = match.group('errmsg') else: errmsg = \\\"Unknown\\\"\",\n \"None self._port = None self._rs_state = None self._repl_set = None self._repl_set_members = None\",\n \"6 rs_state = ' '.join(tokens[pos:]) state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue self._num_lines\",\n \"@property def timezone(self): \\\"\\\"\\\"Lazy evaluation of timezone of logfile.\\\"\\\"\\\" if not self._timezone: self._calculate_bounds()\",\n \"2) for line in reversed(self.filehandle.readlines()): logevent = LogEvent(line) if logevent.datetime: self._end = logevent.datetime\",\n \"= None self._has_level = None # make sure bounds are calculated before starting\",\n \"self._restarts = None self._binary = None self._timezone = None self._hostname = None self._port\",\n \"math import ceil from mtools.util.input_source import InputSource from mtools.util.logevent import LogEvent class LogFile(InputSource):\",\n \"self.next() if le.datetime and le.datetime >= start_dt: self.filehandle.seek(0) return le = None self.filehandle.seek(0)\",\n \"return self._binary @property def hostname(self): \\\"\\\"\\\"Lazy evaluation of the binary name.\\\"\\\"\\\" if not\",\n \"repl_set_members(self): \\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set_members @property\",\n \"self._rs_state = None self._repl_set = None self._repl_set_members = None self._repl_set_version = None self._repl_set_protocol\",\n \"buff[:newline_pos].rfind('\\\\n') # move back to last newline char if newline_pos == -1: self.filehandle.seek(0)\",\n \"namespace, numSplits, success, time_taken, error)) elif \\\"Unable to auto-split chunk\\\" in line: logevent\",\n \"LogEvent(line) match = re.search('ns: \\\"(?P<namespace>\\\\S+)\\\".*' 'details: { (?P<range>.*\\\\}).*.*note: \\\"(?P<note>\\\\S+)\\\"', line) if match: time\",\n \"\\\"(?P<namespace>\\\\S+)\\\".*,' ' (?P<range>min:.*), max.*op_msg (?P<time_taken>\\\\d+)', line) if match: time = logevent.datetime split_range =\",\n \"version else: return False def _calculate_bounds(self): \\\"\\\"\\\"Calculate beginning and end of logfile.\\\"\\\"\\\" if\",\n \"None): raise SystemExit(\\\"Error: <%s> does not appear to be a supported \\\" \\\"MongoDB\",\n \"[] prev_line = \\\"\\\" for line in self.filehandle: if isinstance(line, bytes): line =\",\n \"newline_pos == -1: self.filehandle.seek(0) return self.next() self.filehandle.seek(newline_pos - jump_back + 1, 1) #\",\n \"@property def chunk_splits(self): \\\"\\\"\\\"Lazily return the chunks split in this shard (if available)\\\"\\\"\\\"\",\n \"= ' '.join(tokens[pos:]) state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue self._num_lines = ln\",\n \"line: logevent = LogEvent(line) match = re.search('ns: \\\"(?P<namespace>\\\\S+)\\\".*' 'details: { (?P<range>.*\\\\}).*' 'to: \\\"(?P<movedTo>\\\\S+)\\\".*note:\",\n \"= tokens[pos] rs_state = tokens[-1] state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue if\",\n \"= self.filehandle.tell() # jump back 15k characters (at most) and find last newline\",\n \"== \\\"<stdin>\\\" self._bounds_calculated = False self._start = None self._end = None self._filesize =\",\n \"self._bounds_calculated = False self._start = None self._end = None self._filesize = None self._num_lines\",\n \"match = re.search('splitVector: \\\"(?P<namespace>\\\\S+)\\\".*,' ' (?P<range>min:.*), max.*op_msg (?P<time_taken>\\\\d+)', line) if match: time =\",\n \"and line[31:39].strip() in LogEvent.log_components): self._has_level = True # find version string (fast check\",\n \"line.split() if self._hostname: host = self._hostname + ':' + self._port else: host =\",\n \"of all restarts.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._rs_state @property def binary(self): \\\"\\\"\\\"Lazy\",\n \"numSplits = 0 success = False time_taken = 0 error = match.group(\\\"error\\\") self._chunk_splits.append((time,\",\n \"\\\"\\\"\\\"Lazy evaluation of all restarts.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._rs_state @property def\",\n \"lines (can be expensive).\\\"\\\"\\\" self._num_lines = 0 self._restarts = [] self._rs_state = []\",\n \"@property def binary(self): \\\"\\\"\\\"Lazy evaluation of the binary name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines()\",\n \"if \\\"version\\\" in line[:100]: logevent = LogEvent(line) restart = self._check_for_restart(logevent) if restart: self._restarts.append((restart,\",\n \"self._find_sharding_info() return self._shards @property def csrs(self): \\\"\\\"\\\"Lazily return the CSRS (if available)\\\"\\\"\\\" if\",\n \"match.group('replSet') self._repl_set_version = match.group('replSetVersion') match = re.search(', protocolVersion: (?P<replSetProtocol>\\\\d+), ', line) if match:\",\n \"line in enumerate(self.filehandle): if isinstance(line, bytes): line = line.decode(\\\"utf-8\\\", \\\"replace\\\") if (self._has_level is\",\n \"be forwarded manually, and it will miss the first line that would otherwise\",\n \"= re.search(r'(\\\\d\\\\.\\\\d\\\\.\\\\d+)', logevent.line_str) if version: version = version.group(1) return version else: return False\",\n \"if self._bounds_calculated: # Assume no need to recalc bounds for lifetime of a\",\n \"'in namespace (?P<namespace>\\\\S+)' ' :: caused by :: (?P<error>\\\\S+): ', line) if match:\",\n \"= 0 success = False time_taken = 0 error = match.group(\\\"error\\\") self._chunk_splits.append((time, split_range,\",\n \"replSetInitiate:\\\" in line: match = re.search('{ _id: \\\"(?P<replSet>\\\\S+)\\\", ' 'members: (?P<replSetMembers>[^]]+ ])', line)\",\n \"self._repl_set_members = match.group('replSetMembers') # Replica set config logging in MongoDB 3.0+ new_config =\",\n \"time if self._end < self._start: self._start = self._start.replace(year=self._start.year - 1) self._year_rollover = self._end\",\n \"self._repl_set_version = None self._repl_set_protocol = None self._storage_engine = None self._datetime_format = None self._year_rollover\",\n \"= 0 success = False time_taken = 0 error = \\\"Jumbo\\\" self._chunk_splits.append((time, split_range,\",\n \"== 'initandlisten' and \\\"db version v\\\" in logevent.line_str): self._binary = 'mongod' elif logevent.thread\",\n \"line.decode('utf-8', 'replace') if line == '': raise StopIteration line = line.rstrip('\\\\n') le =\",\n \"= 2 else: pos = 6 rs_state = ' '.join(tokens[pos:]) state = (host,\",\n \"logevent = LogEvent(line) match = re.search('ns: \\\"(?P<namespace>\\\\S+)\\\".*' 'details: { (?P<range>.*\\\\}).*.*note: \\\"(?P<note>\\\\S+)\\\"', line) if\",\n \"not self._num_lines: self._iterate_lines() return self._num_lines @property def restarts(self): \\\"\\\"\\\"Lazy evaluation of all restarts.\\\"\\\"\\\"\",\n \"self.filehandle.tell() >= 2 and (le.datetime is None or le.datetime >= start_dt): self.filehandle.seek(-2, 1)\",\n \"available)\\\"\\\"\\\" if not self._chunks_moved_to: self._find_sharding_info() return self._chunks_moved_to @property def chunks_moved_from(self): \\\"\\\"\\\"Lazily return the\",\n \"chunk_migration = (time, chunk_range, moved_to, namespace, steps, note, errmsg) self._chunks_moved_from.append(chunk_migration) if \\\"moveChunk.to\\\" in\",\n \"if not self._timezone: self._calculate_bounds() return self._timezone @property def filesize(self): \\\"\\\"\\\" Lazy evaluation of\",\n \"(if available)\\\"\\\"\\\" if not self._csrs: self._find_sharding_info() return self._csrs @property def chunks_moved_to(self): \\\"\\\"\\\"Lazily return\",\n \"logfile. Returns None for stdin input currently. \\\"\\\"\\\" if not self._start: self._calculate_bounds() return\",\n \"self._start = self._start.replace(year=self._start.year - 1) self._year_rollover = self._end else: self._year_rollover = False #\",\n \"* 60 print(\\\"Fatal log parsing loop detected trying to find previous \\\" \\\"log\",\n \"{ (?P<range>.*\\\\}).*.*note: \\\"(?P<note>\\\\S+)\\\"', line) if match: time = logevent.datetime chunk_range = match.group('range') namespace\",\n \"= 'mmapv1' \\\"\\\"\\\" For 3.2 the \\\"[initandlisten] options:\\\" no longer contains the \\\"engine\\\"\",\n \"file and find any sharding related information \\\"\\\"\\\" self._shards = [] self._chunks_moved_from =\",\n \"InputSource from mtools.util.logevent import LogEvent class LogFile(InputSource): \\\"\\\"\\\"Log file wrapper class. Handles open\",\n \"this shard (if available)\\\"\\\"\\\" if not self._chunks_moved_from: self._find_sharding_info() return self._chunks_moved_from @property def chunk_splits(self):\",\n \"False version = re.search(r'(\\\\d\\\\.\\\\d\\\\.\\\\d+)', logevent.line_str) if version: version = version.group(1) return version else:\",\n \"smaller than first datetime self.filehandle.seek(0) le = self.next() if le.datetime and le.datetime >=\",\n \"self._filesize: self._calculate_bounds() return self._filesize @property def datetime_format(self): \\\"\\\"\\\"Lazy evaluation of the datetime format.\\\"\\\"\\\"\",\n \"in enumerate(self.filehandle): if isinstance(line, bytes): line = line.decode(\\\"utf-8\\\", \\\"replace\\\") if (self._has_level is None\",\n \"logevent = LogEvent(line) match = re.search(\\\"chunk \\\\[(?P<range>.*)\\\\) \\\" 'in namespace (?P<namespace>\\\\S+)' ' ::\",\n \"bisection path max_mark = self.filesize step_size = max_mark # check if start_dt is\",\n \"5 host = tokens[pos] rs_state = tokens[-1] state = (host, rs_state, LogEvent(line)) self._rs_state.append(state)\",\n \"For 3.0 the \\\"[initandlisten] options:\\\" long entry contained the \\\"engine\\\" field if WiredTiger\",\n \"logevent.thread == 'mongosMain' and ('MongoS' in logevent.line_str or 'mongos' in logevent.line_str): self._binary =\",\n \"(match.group('shardName'), match.group('replSetMembers')) self._shards.append(shard_info) elif self.binary == \\\"mongod\\\": logevent = LogEvent(line) if \\\"New replica\",\n \"return self._start @property def end(self): \\\"\\\"\\\" Lazy evaluation of start and end of\",\n \"being used \\\"\\\"\\\" if \\\"[initandlisten] wiredtiger_open config:\\\" in line: self._storage_engine = 'wiredTiger' if\",\n \"and (le.datetime is None or le.datetime >= start_dt): self.filehandle.seek(-2, 1) le = self._find_curr_line(prev=True)\",\n \"match: time = logevent.datetime split_range = None namespace = match.group(\\\"namespace\\\") numSplits = match.group('numSplits')\",\n \"or 'mongos' in logevent.line_str): self._binary = 'mongos' else: return False version = re.search(r'(\\\\d\\\\.\\\\d\\\\.\\\\d+)',\",\n \"(if available)\\\"\\\"\\\" if not self._chunks_moved_to: self._find_sharding_info() return self._chunks_moved_to @property def chunks_moved_from(self): \\\"\\\"\\\"Lazily return\",\n \"if \\\"[rsMgr] replSet\\\" in line: tokens = line.split() if self._hostname: host = self._hostname\",\n \"@property def has_level(self): \\\"\\\"\\\"Lazy evaluation of the whether the logfile has any level\",\n \"bounds for lifetime of a Logfile object return if self.from_stdin: return False #\",\n \"match.group('movedTo') note = match.group('note') if note == \\\"success\\\": errmsg = None steps =\",\n \"match.group('replSetMembers') )) elif not self._csrs: self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if \\\"moveChunk.from\\\"\",\n \"near offset %s in %s:\\\\n\\\\n%s\\\\n%s\\\\n\\\" \\\"<--- (current log parsing offset) \\\\n%s\\\\n%s\\\\n\\\" % (curr_pos,\",\n \"(\\\"New replica set config in use: \\\") if new_config in line: match =\",\n \"self._filesize = self.filehandle.tell() self.filehandle.seek(-min(self._filesize, 30000), 2) for line in reversed(self.filehandle.readlines()): logevent = LogEvent(line)\",\n \"command: { replSetInitiate:\\\" in line: match = re.search('{ _id: \\\"(?P<replSet>\\\\S+)\\\", ' 'members: (?P<replSetMembers>[^]]+\",\n \"line) if match: time = logevent.datetime chunk_range = match.group('range') namespace = match.group('namespace') moved_to\",\n \"available)\\\"\\\"\\\" if not self._shards: self._find_sharding_info() return self._shards @property def csrs(self): \\\"\\\"\\\"Lazily return the\",\n \"> max_start_lines: break # sanity check before attempting to find end date if\",\n \"self.name, hr, buff[:error_context], buff[error_context:error_context + 1], hr), file=sys.stderr) raise SystemExit(\\\"Cannot parse %s with\",\n \"if (\\\"is now in state\\\" in line and # next(state for state in\",\n \"hr), file=sys.stderr) raise SystemExit(\\\"Cannot parse %s with requested options\\\" % self.filehandle.name) else: self.prev_pos\",\n \"errmsg) self._chunks_moved_to.append(chunk_migration) if \\\"Finding the split vector for\\\" in line: logevent = LogEvent(line)\",\n \"= logevent.datetime_format self._datetime_nextpos = logevent._datetime_nextpos break if lines_checked > max_start_lines: break # sanity\",\n \"while abs(step_size) > 100: step_size = ceil(step_size / 2.) self.filehandle.seek(step_size, 1) le =\",\n \"Only fast for files. Streams need to be forwarded manually, and it will\",\n \"True error = None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \\\"Unable\",\n \"datetime (lines are at most 10k, # go back 30k at most to\",\n \"= LogEvent(line) if \\\"New replica set config in use\\\" in line: if \\\"configsvr:\",\n \"logevent except StopIteration: # reached end of file return None def _find_sharding_info(self): \\\"\\\"\\\"\",\n \"or v != versions[-1]: versions.append(v) return versions @property def repl_set(self): \\\"\\\"\\\"Return the replSet\",\n \"\\\"(?P<replSet>\\\\S+)\\\".*' 'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._csrs = ( match.group('replSet'), match.group('replSetMembers') )\",\n \"logevent = LogEvent(line) match = re.search('splitVector: \\\"(?P<namespace>\\\\S+)\\\".*,' ' (?P<range>min:.*), max.*op_msg (?P<time_taken>\\\\d+)', line) if\",\n \"in self.filehandle: logevent = LogEvent(line) lines_checked += 1 if logevent.datetime: self._start = logevent.datetime\",\n \"if (logevent.thread == 'initandlisten' and \\\"db version v\\\" in logevent.line_str): self._binary = 'mongod'\",\n \"for stdin input currently. \\\"\\\"\\\" if self.from_stdin: return None if not self._filesize: self._calculate_bounds()\",\n \"self._shards: self._find_sharding_info() return self._shards @property def csrs(self): \\\"\\\"\\\"Lazily return the CSRS (if available)\\\"\\\"\\\"\",\n \"repl_set(self): \\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set @property\",\n \"self._csrs = csrs_info else: match = re.search(\\\"for (?P<shardName>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: shard_info\",\n \"file, get end date if not self.end and self.from_stdin: if le and le.datetime:\",\n \"def storage_engine(self): \\\"\\\"\\\"Return storage engine if available.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._storage_engine\",\n \"not logevent.datetime: logevent = self.next() return logevent except StopIteration: # reached end of\",\n \"LogEvent(line) match = re.search('splitVector: \\\"(?P<namespace>\\\\S+)\\\".*,' ' (?P<range>min:.*), max.*op_msg (?P<time_taken>\\\\d+)', line) if match: time\",\n \"lines_checked > max_start_lines: break # sanity check before attempting to find end date\",\n \"if \\\"moveChunk.from\\\" in line: logevent = LogEvent(line) match = re.search('ns: \\\"(?P<namespace>\\\\S+)\\\".*' 'details: {\",\n \"= min(self.filehandle.tell(), 15000) self.filehandle.seek(-jump_back, 1) buff = self.filehandle.read(jump_back) self.filehandle.seek(curr_pos, 0) if prev and\",\n \"datetime try: logevent = self.next() while not logevent.datetime: logevent = self.next() return logevent\",\n \"or stdin.\\\"\\\"\\\" def __init__(self, filehandle): \\\"\\\"\\\"Provide logfile as open file stream or stdin.\\\"\\\"\\\"\",\n \"the number of lines in a log file.\\\"\\\"\\\" return self.num_lines def _iterate_lines(self): \\\"\\\"\\\"Count\",\n \"jump_back = min(self.filehandle.tell(), 15000) self.filehandle.seek(-jump_back, 1) buff = self.filehandle.read(jump_back) self.filehandle.seek(curr_pos, 0) if prev\",\n \"('MongoS' in logevent.line_str or 'mongos' in logevent.line_str): self._binary = 'mongos' else: return False\",\n \"# future iterations start from the beginning if not self.from_stdin: self.filehandle.seek(0) # return\",\n \"PEP 479 return # get start date for stdin input if not self.start\",\n \"self._iterate_lines() return self._storage_engine @property def shards(self): \\\"\\\"\\\"Lazily return the shards (if available)\\\"\\\"\\\" if\",\n \"= \\\"-\\\" * 60 print(\\\"Fatal log parsing loop detected trying to find previous\",\n \"= self.next() if le.datetime and le.datetime >= start_dt: self.filehandle.seek(0) return le = None\",\n \"= None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \\\"Unable to auto-split\",\n \"line: match = re.search(\\\"for (?P<replSet>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: if self._csrs and match.group('replSet')\",\n \"newline char jump_back = min(self.filehandle.tell(), 15000) self.filehandle.seek(-jump_back, 1) buff = self.filehandle.read(jump_back) self.filehandle.seek(curr_pos, 0)\",\n \"steps = None match = re.search('errmsg: \\\"(?P<errmsg>.*)\\\"', line) if match: errmsg = match.group('errmsg')\",\n \"self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) prev_line = line # reset logfile\",\n \"only two engines, MMAPv1 and WiredTiger \\\"\\\"\\\" if \\\"[initandlisten] options:\\\" in line: match\",\n \"= match.group('range') namespace = match.group('namespace') moved_to = match.group('movedTo') note = match.group('note') if note\",\n \"logevent = LogEvent(line) if \\\"New replica set config in use\\\" in line: if\",\n \">= start_dt: step_size = -abs(step_size) else: step_size = abs(step_size) if not le: return\",\n \"logevent = self.next() while not logevent.datetime: logevent = self.next() return logevent except StopIteration:\",\n \"None if match: errmsg = match.group('errmsg') else: errmsg = \\\"Unknown\\\" chunk_migration = (time,\",\n \"None: ret = le.set_datetime_hint(self._datetime_format, self._datetime_nextpos, self.year_rollover) if not ret: # logevent indicates timestamp\",\n \"= None self._hostname = None self._port = None self._rs_state = None self._repl_set =\",\n \"jump back 15k characters (at most) and find last newline char jump_back =\",\n \"= 4 else: pos = 5 host = tokens[pos] rs_state = tokens[-1] state\",\n \"= re.search('{ _id: \\\"(?P<replSet>\\\\S+)\\\", ' 'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set =\",\n \"match: self._repl_set_members = match.group('replSetMembers') # if (\\\"is now in state\\\" in line and\",\n \"line: match = re.search(' _id: \\\"(?P<replSet>\\\\S+)\\\".*' 'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._csrs\",\n \"datetime obj using binary search. Only fast for files. Streams need to be\",\n \"None: self._iterate_lines() return self._has_level @property def year_rollover(self): \\\"\\\"\\\"Lazy evaluation of the datetime format.\\\"\\\"\\\"\",\n \"\\\"splitVector\\\" in line: logevent = LogEvent(line) match = re.search('splitVector: \\\"(?P<namespace>\\\\S+)\\\".*,' ' (?P<range>min:.*), max.*op_msg\",\n \"open file stream or stdin.\\\"\\\"\\\" self.filehandle = filehandle self.name = filehandle.name self.from_stdin =\",\n \"information \\\"\\\"\\\" self._shards = [] self._chunks_moved_from = [] self._chunks_moved_to = [] self._chunk_splits =\",\n \"has_level(self): \\\"\\\"\\\"Lazy evaluation of the whether the logfile has any level lines.\\\"\\\"\\\" if\",\n \"evaluation of the whether the logfile has any level lines.\\\"\\\"\\\" if self._has_level is\",\n \"the current seek position. \\\"\\\"\\\" curr_pos = self.filehandle.tell() # jump back 15k characters\",\n \"match = re.search('engine: \\\"(?P<engine>\\\\S+)\\\"', line) if match: self._storage_engine = match.group('engine') else: self._storage_engine =\",\n \"' :: caused by :: (?P<error>\\\\S+): ', line) if match: time = logevent.datetime\",\n \"alter this to find moved from shard name when SERVER-45770 TICKET is added\",\n \"file.\\\"\\\"\\\" return self.num_lines def _iterate_lines(self): \\\"\\\"\\\"Count number of lines (can be expensive).\\\"\\\"\\\" self._num_lines\",\n \"match: if self._csrs and match.group('replSet') != self._csrs[0]: self._shards.append(( match.group('replSet'), match.group('replSetMembers') )) elif not\",\n \"(if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set_protocol @property def storage_engine(self): \\\"\\\"\\\"Return storage\",\n \"\\\"(?P<replSet>\\\\S+)\\\"', line) if match: self._repl_set = match.group('replSet') match = re.search('engine: \\\"(?P<engine>\\\\S+)\\\"', line) if\",\n \"version: version = version.group(1) return version else: return False def _calculate_bounds(self): \\\"\\\"\\\"Calculate beginning\",\n \"', line) if match: time = logevent.datetime split_range = match.group(\\\"range\\\") namespace = match.group(\\\"namespace\\\")\",\n \"the first line that would otherwise match (as it consumes the log line).\",\n \"1) self._year_rollover = self._end else: self._year_rollover = False # reset logfile self.filehandle.seek(0) self._bounds_calculated\",\n \"valid log line within max_start_lines max_start_lines = 10 lines_checked = 0 # get\",\n \"sharding related information \\\"\\\"\\\" self._shards = [] self._chunks_moved_from = [] self._chunks_moved_to = []\",\n \"prev_line) if match: time = logevent.datetime split_range = match.group(\\\"range\\\") namespace = match.group(\\\"namespace\\\") numSplits\",\n \"_find_curr_line(self, prev=False): \\\"\\\"\\\" Internal helper function. Find the current (or previous if prev=True)\",\n \"time_taken = 0 error = \\\"Jumbo\\\" self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error))\",\n \"match (as it consumes the log line). \\\"\\\"\\\" if self.from_stdin: # skip lines\",\n \"line near offset %s in %s:\\\\n\\\\n%s\\\\n%s\\\\n\\\" \\\"<--- (current log parsing offset) \\\\n%s\\\\n%s\\\\n\\\" %\",\n \"2) self._filesize = self.filehandle.tell() self.filehandle.seek(-min(self._filesize, 30000), 2) for line in reversed(self.filehandle.readlines()): logevent =\",\n \"input currently. \\\"\\\"\\\" if self.from_stdin: return None if not self._filesize: self._calculate_bounds() return self._filesize\",\n \"and line[28:31].strip() in LogEvent.log_levels and line[31:39].strip() in LogEvent.log_components): self._has_level = True # find\",\n \"self._datetime_format = logevent.datetime_format self._datetime_nextpos = logevent._datetime_nextpos break if lines_checked > max_start_lines: break #\",\n \"return self._shards @property def csrs(self): \\\"\\\"\\\"Lazily return the CSRS (if available)\\\"\\\"\\\" if not\",\n \"None self._repl_set_version = None self._repl_set_protocol = None self._storage_engine = None self._datetime_format = None\",\n \"None self._datetime_format = None self._year_rollover = None self._shards = None self._csrs = None\",\n \"success, time_taken, error)) elif \\\"splitVector\\\" in line: logevent = LogEvent(line) match = re.search('splitVector:\",\n \"self._datetime_format @property def has_level(self): \\\"\\\"\\\"Lazy evaluation of the whether the logfile has any\",\n \"for line in self.filehandle: logevent = LogEvent(line) lines_checked += 1 if logevent.datetime: self._start\",\n \"if match: self._repl_set = match.group('replSet') self._repl_set_members = match.group('replSetMembers') # Replica set config logging\",\n \"return self._filesize @property def datetime_format(self): \\\"\\\"\\\"Lazy evaluation of the datetime format.\\\"\\\"\\\" if not\",\n \"starting to iterate, # including potential year rollovers self._calculate_bounds() @property def start(self): \\\"\\\"\\\"\",\n \"if \\\"Starting new replica set monitor for\\\" in line: match = re.search(\\\"for (?P<replSet>\\\\w+)/\\\"\",\n \"# if there was a roll-over, subtract 1 year from start time if\",\n \"moved from shard name when SERVER-45770 TICKET is added moved_from = \\\"Unknown\\\" note\",\n \"in line[:100]: logevent = LogEvent(line) restart = self._check_for_restart(logevent) if restart: self._restarts.append((restart, logevent)) if\",\n \"_find_sharding_info(self): \\\"\\\"\\\" Iterate over file and find any sharding related information \\\"\\\"\\\" self._shards\",\n \"look for hostname, port match = re.search('port=(?P<port>\\\\d+).*host=(?P<host>\\\\S+)', line) if match: self._hostname = match.group('host')\",\n \"helper function. Find the current (or previous if prev=True) line in a log\",\n \"\\\"\\\"\\\"Return all version changes.\\\"\\\"\\\" versions = [] for v, _ in self.restarts: if\",\n \"options:\\\" no longer contains the \\\"engine\\\" field So now we have to look\",\n \"any sharding related information \\\"\\\"\\\" self._shards = [] self._chunks_moved_from = [] self._chunks_moved_to =\",\n \"lines until start_dt is reached return else: # fast bisection path max_mark =\",\n \"self.next() except StopIteration as e: # end of log file, get end date\",\n \"be a supported \\\" \\\"MongoDB log file format\\\" % self.filehandle.name) # get end\",\n \"self.next() self.filehandle.seek(newline_pos - jump_back + 1, 1) # roll forward until we found\",\n \"self._num_lines: self._iterate_lines() return self._repl_set_version @property def repl_set_protocol(self): \\\"\\\"\\\"Return the replSet protocolVersion (if available).\\\"\\\"\\\"\",\n \"re.search('ns: \\\"(?P<namespace>\\\\S+)\\\".*' 'details: { (?P<range>.*\\\\}).*.*note: \\\"(?P<note>\\\\S+)\\\"', line) if match: time = logevent.datetime chunk_range\",\n \"logfile self.filehandle.seek(0) def fast_forward(self, start_dt): \\\"\\\"\\\" Fast-forward file to given start_dt datetime obj\",\n \"used \\\"\\\"\\\" if \\\"[initandlisten] wiredtiger_open config:\\\" in line: self._storage_engine = 'wiredTiger' if \\\"command\",\n \"= LogEvent(line) match = re.search(\\\"chunk \\\\[(?P<range>.*)\\\\) \\\" 'in namespace (?P<namespace>\\\\S+)' ' :: caused\",\n \"max_start_lines = 10 lines_checked = 0 # get start datetime for line in\",\n \"evaluation of the datetime format.\\\"\\\"\\\" if self._year_rollover is None: self._calculate_bounds() return self._year_rollover @property\",\n \"number of lines. Returns None for stdin input currently. \\\"\\\"\\\" if self.from_stdin: return\",\n \"available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set_protocol @property def storage_engine(self): \\\"\\\"\\\"Return storage engine\",\n \"return the shards (if available)\\\"\\\"\\\" if not self._shards: self._find_sharding_info() return self._shards @property def\",\n \"< self._start: self._start = self._start.replace(year=self._start.year - 1) self._year_rollover = self._end else: self._year_rollover =\",\n \"if not self._num_lines: self._iterate_lines() return self._storage_engine @property def shards(self): \\\"\\\"\\\"Lazily return the shards\",\n \"offset) \\\\n%s\\\\n%s\\\\n\\\" % (curr_pos, self.name, hr, buff[:error_context], buff[error_context:error_context + 1], hr), file=sys.stderr) raise\",\n \"le.datetime try: yield le except StopIteration: return states = (['PRIMARY', 'SECONDARY', 'DOWN', 'STARTUP',\",\n \"self._datetime_nextpos is not None: ret = le.set_datetime_hint(self._datetime_format, self._datetime_nextpos, self.year_rollover) if not ret: #\",\n \"for stdin input currently. \\\"\\\"\\\" if not self._end: self._calculate_bounds() return self._end @property def\",\n \"filehandle self.name = filehandle.name self.from_stdin = filehandle.name == \\\"<stdin>\\\" self._bounds_calculated = False self._start\",\n \"if restart: self._restarts.append((restart, logevent)) if \\\"starting :\\\" in line or \\\"starting:\\\" in line:\",\n \"of \\\\d): (?P<stepTimes>\\\\d+)', line) else: match = re.search(':: caused by :: (?P<errmsg>\\\\S+):', prev_line)\",\n \"the \\\"[initandlisten] options:\\\" long entry contained the \\\"engine\\\" field if WiredTiger was the\",\n \"get start datetime for line in self.filehandle: logevent = LogEvent(line) lines_checked += 1\",\n \"definitively that wiredTiger is being used \\\"\\\"\\\" if \\\"[initandlisten] wiredtiger_open config:\\\" in line:\",\n \"end of log file, get end date if not self.end and self.from_stdin: if\",\n \"timezone of logfile.\\\"\\\"\\\" if not self._timezone: self._calculate_bounds() return self._timezone @property def filesize(self): \\\"\\\"\\\"\",\n \"string (fast check to eliminate most lines) if \\\"version\\\" in line[:100]: logevent =\",\n \"SERVER-45770 TICKET is added moved_from = \\\"Unknown\\\" note = match.group('note') if note ==\",\n \"'version: (?P<replSetVersion>\\\\d+), ', line) if match: self._repl_set = match.group('replSet') self._repl_set_version = match.group('replSetVersion') match\",\n \"evaluation of the number of lines. Returns None for stdin input currently. \\\"\\\"\\\"\",\n \"return if self.from_stdin: return False # we should be able to find a\",\n \"catch one) self.filehandle.seek(0, 2) self._filesize = self.filehandle.tell() self.filehandle.seek(-min(self._filesize, 30000), 2) for line in\",\n \"@property def end(self): \\\"\\\"\\\" Lazy evaluation of start and end of logfile. Returns\",\n \"stream or stdin.\\\"\\\"\\\" self.filehandle = filehandle self.name = filehandle.name self.from_stdin = filehandle.name ==\",\n \"ln, line in enumerate(self.filehandle): if isinstance(line, bytes): line = line.decode(\\\"utf-8\\\", \\\"replace\\\") if (self._has_level\",\n \"in line: tokens = line.split() if self._hostname: host = self._hostname + ':' +\",\n \"re.search(\\\"for (?P<shardName>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: shard_info = (match.group('shardName'), match.group('replSetMembers')) self._shards.append(shard_info) elif self.binary\",\n \"= match.group(\\\"range\\\") namespace = match.group(\\\"namespace\\\") numSplits = 0 success = False time_taken =\",\n \"def datetime_format(self): \\\"\\\"\\\"Lazy evaluation of the datetime format.\\\"\\\"\\\" if not self._datetime_format: self._calculate_bounds() return\",\n \"chunk_range, moved_to, namespace, steps, note, errmsg) self._chunks_moved_from.append(chunk_migration) if \\\"moveChunk.to\\\" in line: logevent =\",\n \"to this shard (if available)\\\"\\\"\\\" if not self._chunks_moved_to: self._find_sharding_info() return self._chunks_moved_to @property def\",\n \"format.\\\"\\\"\\\" if self._year_rollover is None: self._calculate_bounds() return self._year_rollover @property def num_lines(self): \\\"\\\"\\\" Lazy\",\n \"return None if not self._filesize: self._calculate_bounds() return self._filesize @property def datetime_format(self): \\\"\\\"\\\"Lazy evaluation\",\n \"namespace = match.group(\\\"namespace\\\") time_taken = match.group(\\\"time_taken\\\") numSplits = 0 success = True error\",\n \"logevent.datetime split_range = match.group(\\\"range\\\") namespace = match.group(\\\"namespace\\\") time_taken = match.group(\\\"time_taken\\\") numSplits = 0\",\n \"None match = re.search('errmsg: \\\"(?P<errmsg>.*)\\\"', line) if match: errmsg = match.group('errmsg') chunk_migration =\",\n \"match: time = logevent.datetime split_range = match.group(\\\"range\\\") namespace = match.group(\\\"namespace\\\") numSplits = 0\",\n \"Replica set config logging in MongoDB 3.0+ new_config = (\\\"New replica set config\",\n \"= line.split() # 2.6 if tokens[1].endswith(']'): pos = 4 else: pos = 5\",\n \"\\\"<--- (current log parsing offset) \\\\n%s\\\\n%s\\\\n\\\" % (curr_pos, self.name, hr, buff[:error_context], buff[error_context:error_context +\",\n \"= line # reset logfile self.filehandle.seek(0) def fast_forward(self, start_dt): \\\"\\\"\\\" Fast-forward file to\",\n \"# Assume no need to recalc bounds for lifetime of a Logfile object\",\n \"if self._datetime_format and self._datetime_nextpos is not None: ret = le.set_datetime_hint(self._datetime_format, self._datetime_nextpos, self.year_rollover) if\",\n \"time_taken, error)) elif \\\"splitVector\\\" in line: logevent = LogEvent(line) match = re.search('splitVector: \\\"(?P<namespace>\\\\S+)\\\".*,'\",\n \"line in a log file based on the current seek position. \\\"\\\"\\\" curr_pos\",\n \"\\\"version\\\" in line[:100]: logevent = LogEvent(line) restart = self._check_for_restart(logevent) if restart: self._restarts.append((restart, logevent))\",\n \"moved_from = \\\"Unknown\\\" note = match.group('note') if note == \\\"success\\\": errmsg = None\",\n \"not le: break if le.datetime >= start_dt: step_size = -abs(step_size) else: step_size =\",\n \"def rs_state(self): \\\"\\\"\\\"Lazy evaluation of all restarts.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._rs_state\",\n \"# get end datetime (lines are at most 10k, # go back 30k\",\n \"match = re.search(\\\"chunk \\\\[(?P<range>.*)\\\\) \\\" 'in namespace (?P<namespace>\\\\S+)' ' :: caused by ::\",\n \"\\\\n%s\\\\n%s\\\\n\\\" % (curr_pos, self.name, hr, buff[:error_context], buff[error_context:error_context + 1], hr), file=sys.stderr) raise SystemExit(\\\"Cannot\",\n \"MMAPv1 and WiredTiger \\\"\\\"\\\" if \\\"[initandlisten] options:\\\" in line: match = re.search('replSet: \\\"(?P<replSet>\\\\S+)\\\"',\",\n \"le.datetime_format self._datetime_nextpos = le._datetime_nextpos return le def __iter__(self): \\\"\\\"\\\" Iterate over LogFile object.\",\n \"file=sys.stderr) raise SystemExit(\\\"Cannot parse %s with requested options\\\" % self.filehandle.name) else: self.prev_pos =\",\n \"stdin input if not self.start and self.from_stdin: if le and le.datetime: self._start =\",\n \"to find end date if (self._start is None): raise SystemExit(\\\"Error: <%s> does not\",\n \"le.datetime >= start_dt: self.filehandle.seek(0) return le = None self.filehandle.seek(0) # search for lower\",\n \"line: self._storage_engine = 'wiredTiger' if \\\"command admin.$cmd command: { replSetInitiate:\\\" in line: match\",\n \"numSplits, success, time_taken, error)) elif \\\"splitVector\\\" in line: logevent = LogEvent(line) match =\",\n \"0 error = \\\"Jumbo\\\" self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) prev_line =\",\n \"(time, chunk_range, moved_from, namespace, steps, note, errmsg) self._chunks_moved_to.append(chunk_migration) if \\\"Finding the split vector\",\n \"prev=False): \\\"\\\"\\\" Internal helper function. Find the current (or previous if prev=True) line\",\n \"= self._end else: self._year_rollover = False # reset logfile self.filehandle.seek(0) self._bounds_calculated = True\",\n \"os import re import sys from datetime import datetime from math import ceil\",\n \"if le.datetime and le.datetime >= start_dt: self.filehandle.seek(0) return le = None self.filehandle.seek(0) #\",\n \"to make sure we catch one) self.filehandle.seek(0, 2) self._filesize = self.filehandle.tell() self.filehandle.seek(-min(self._filesize, 30000),\",\n \"1, 1) # roll forward until we found a line with a datetime\",\n \"if \\\"starting :\\\" in line or \\\"starting:\\\" in line: # look for hostname,\",\n \"# go back 30k at most to make sure we catch one) self.filehandle.seek(0,\",\n \"'wiredTiger' if \\\"command admin.$cmd command: { replSetInitiate:\\\" in line: match = re.search('{ _id:\",\n \"match = re.search(', protocolVersion: (?P<replSetProtocol>\\\\d+), ', line) if match: self._repl_set_protocol = match.group('replSetProtocol') match\",\n \"'ARBITER', 'UNKNOWN']) def __len__(self): \\\"\\\"\\\"Return the number of lines in a log file.\\\"\\\"\\\"\",\n \"buff[error_context:error_context + 1], hr), file=sys.stderr) raise SystemExit(\\\"Cannot parse %s with requested options\\\" %\",\n \"match.group('replSet'), match.group('replSetMembers') ) if \\\"Starting new replica set monitor for\\\" in line: match\",\n \"able to find a valid log line within max_start_lines max_start_lines = 10 lines_checked\",\n \"LogEvent(line) match = re.search('ns: \\\"(?P<namespace>\\\\S+)\\\".*' 'details: { (?P<range>.*\\\\}).*' 'to: \\\"(?P<movedTo>\\\\S+)\\\".*note: \\\"(?P<note>\\\\S+)\\\"', line) if\",\n \"prev_line = \\\"\\\" for line in self.filehandle: if isinstance(line, bytes): line = line.decode(\\\"utf-8\\\",\",\n \"return the chunks moved to this shard (if available)\\\"\\\"\\\" if not self._chunks_moved_to: self._find_sharding_info()\",\n \"steps = None if match: errmsg = match.group('errmsg') else: errmsg = \\\"Unknown\\\" chunk_migration\",\n \"= self._check_for_restart(logevent) if restart: self._restarts.append((restart, logevent)) if \\\"starting :\\\" in line or \\\"starting:\\\"\",\n \"and find any sharding related information \\\"\\\"\\\" self._shards = [] self._chunks_moved_from = []\",\n \"internal readahead # buffer so seek position is wrong line = self.filehandle.readline() if\",\n \"set config in use: \\\") if new_config in line: match = re.search('{ _id:\",\n \"self._end = logevent.datetime break # if there was a roll-over, subtract 1 year\",\n \"self.year_rollover) if not ret: # logevent indicates timestamp format has changed, # invalidate\",\n \"else: # 2.6 if tokens[1].endswith(']'): pos = 2 else: pos = 6 rs_state\",\n \"\\\"(?P<note>\\\\S+)\\\"', line) if match: time = logevent.datetime chunk_range = match.group('range') namespace = match.group('namespace')\",\n \"logevent._datetime_nextpos break if lines_checked > max_start_lines: break # sanity check before attempting to\",\n \"another logevent self._datetime_format = le.datetime_format self._datetime_nextpos = le._datetime_nextpos return le def __iter__(self): \\\"\\\"\\\"\",\n \"numSplits = match.group('numSplits') success = None time_taken = 0 error = None self._chunk_splits.append((time,\",\n \"we should be able to find a valid log line within max_start_lines max_start_lines\",\n \"\\\"Starting new replica set monitor for\\\" in line: match = re.search(\\\"for (?P<replSet>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\",\",\n \"= \\\"Unknown\\\" note = match.group('note') if note == \\\"success\\\": errmsg = None steps\",\n \"if not self._datetime_format: self._calculate_bounds() return self._datetime_format @property def has_level(self): \\\"\\\"\\\"Lazy evaluation of the\",\n \"re.search(\\\"for (?P<replSet>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: if self._csrs and match.group('replSet') != self._csrs[0]: self._shards.append((\",\n \"errmsg) self._chunks_moved_from.append(chunk_migration) if \\\"moveChunk.to\\\" in line: logevent = LogEvent(line) match = re.search('ns: \\\"(?P<namespace>\\\\S+)\\\".*'\",\n \"curr_pos = self.filehandle.tell() # jump back 15k characters (at most) and find last\",\n \"(match.group('csrsName'), match.group('replSetMembers')) self._csrs = csrs_info else: match = re.search(\\\"for (?P<shardName>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if\",\n \"len(versions) == 0 or v != versions[-1]: versions.append(v) return versions @property def repl_set(self):\",\n \"match: errmsg = match.group('errmsg') chunk_migration = (time, chunk_range, moved_from, namespace, steps, note, errmsg)\",\n \"expensive).\\\"\\\"\\\" self._num_lines = 0 self._restarts = [] self._rs_state = [] ln = 0\",\n \"in states if line.endswith(state))): if \\\"is now in state\\\" in line: tokens =\",\n \"self.filehandle = filehandle self.name = filehandle.name self.from_stdin = filehandle.name == \\\"<stdin>\\\" self._bounds_calculated =\",\n \"self.binary == \\\"mongod\\\": logevent = LogEvent(line) if \\\"New replica set config in use\\\"\",\n \"match = re.search('ns: \\\"(?P<namespace>\\\\S+)\\\".*' 'details: { (?P<range>.*\\\\}).*' 'to: \\\"(?P<movedTo>\\\\S+)\\\".*note: \\\"(?P<note>\\\\S+)\\\"', line) if match:\",\n \"of start and end of logfile. Returns None for stdin input currently. \\\"\\\"\\\"\",\n \"None steps = re.findall('(?P<steps>step \\\\d of \\\\d): (?P<stepTimes>\\\\d+)', line) else: match = re.search('::\",\n \"0 or v != versions[-1]: versions.append(v) return versions @property def repl_set(self): \\\"\\\"\\\"Return the\",\n \"match.group('errmsg') chunk_migration = (time, chunk_range, moved_from, namespace, steps, note, errmsg) self._chunks_moved_to.append(chunk_migration) if \\\"Finding\",\n \"uses internal readahead # buffer so seek position is wrong line = self.filehandle.readline()\",\n \"available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set @property def repl_set_members(self): \\\"\\\"\\\"Return the replSet\",\n \"time = logevent.datetime split_range = match.group(\\\"range\\\") namespace = match.group(\\\"namespace\\\") time_taken = match.group(\\\"time_taken\\\") numSplits\",\n \"match: self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if \\\"Starting new replica set monitor\",\n \"= None self._restarts = None self._binary = None self._timezone = None self._hostname =\",\n \"most lines) if \\\"version\\\" in line[:100]: logevent = LogEvent(line) restart = self._check_for_restart(logevent) if\",\n \"replica set config in use: \\\") if new_config in line: match = re.search('{\",\n \"if tokens[1].endswith(']'): pos = 2 else: pos = 6 rs_state = ' '.join(tokens[pos:])\",\n \"sure we catch one) self.filehandle.seek(0, 2) self._filesize = self.filehandle.tell() self.filehandle.seek(-min(self._filesize, 30000), 2) for\",\n \"self.filehandle.seek(-error_context, 1) buff = self.filehandle.read(curr_pos) hr = \\\"-\\\" * 60 print(\\\"Fatal log parsing\",\n \"= match.group('note') if note == \\\"success\\\": errmsg = None steps = re.findall('(?P<steps>step \\\\d\",\n \"\\\"\\\"\\\"Return the replSet protocolVersion (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set_protocol @property\",\n \"line.decode(\\\"utf-8\\\", \\\"replace\\\") if self.binary == \\\"mongos\\\": if \\\"Starting new replica set monitor for\\\"\",\n \"True # find version string (fast check to eliminate most lines) if \\\"version\\\"\",\n \"replica set monitor for\\\" in line: match = re.search(\\\"for (?P<replSet>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if\",\n \"if logevent.datetime: self._end = logevent.datetime break # if there was a roll-over, subtract\",\n \"'mongos' in logevent.line_str): self._binary = 'mongos' else: return False version = re.search(r'(\\\\d\\\\.\\\\d\\\\.\\\\d+)', logevent.line_str)\",\n \"MongoDB 3.0+ new_config = (\\\"New replica set config in use: \\\") if new_config\",\n \"if not self._num_lines: self._iterate_lines() return self._num_lines @property def restarts(self): \\\"\\\"\\\"Lazy evaluation of all\",\n \"= match.group('errmsg') chunk_migration = (time, chunk_range, moved_from, namespace, steps, note, errmsg) self._chunks_moved_to.append(chunk_migration) if\",\n \"start_dt is reached return else: # fast bisection path max_mark = self.filesize step_size\",\n \"now we have to look for the \\\"[initandlisten] wiredtiger_open config:\\\" which was present\",\n \"not self._num_lines: self._iterate_lines() return self._repl_set @property def repl_set_members(self): \\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\"\",\n \"ret = le.set_datetime_hint(self._datetime_format, self._datetime_nextpos, self.year_rollover) if not ret: # logevent indicates timestamp format\",\n \"replica set config in use\\\" in line: if \\\"configsvr: true\\\" in line: match\",\n \"namespace (?P<namespace>\\\\S+)' ' :: caused by :: (?P<error>\\\\S+): ', line) if match: time\",\n \"if match: time = logevent.datetime chunk_range = match.group('range') namespace = match.group('namespace') moved_to =\",\n \"line) if match: self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if \\\"Starting new replica\",\n \"if not self._chunk_splits: self._find_sharding_info() return self._chunk_splits def next(self): \\\"\\\"\\\"Get next line, adjust for\",\n \"0 error = None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \\\"splitVector\\\"\",\n \"None # Track previous file position for loop detection in _find_curr_line() self.prev_pos =\",\n \"repl_set_version(self): \\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set_version @property\",\n \"None self._chunks_moved_to = None self._chunk_splits = None # Track previous file position for\",\n \"if not self._num_lines: self._iterate_lines() return self._restarts @property def rs_state(self): \\\"\\\"\\\"Lazy evaluation of all\",\n \"LogEvent object for each line (generator). \\\"\\\"\\\" le = None while True: try:\",\n \"and self.prev_pos is not None and self.prev_pos == curr_pos: # Number of characters\",\n \"'to: \\\"(?P<movedTo>\\\\S+)\\\".*note: \\\"(?P<note>\\\\S+)\\\"', line) if match: time = logevent.datetime chunk_range = match.group('range') namespace\",\n \"of all restarts.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._restarts @property def rs_state(self): \\\"\\\"\\\"Lazy\",\n \"1) buff = self.filehandle.read(curr_pos) hr = \\\"-\\\" * 60 print(\\\"Fatal log parsing loop\",\n \"numSplits, success, time_taken, error)) elif \\\"Unable to auto-split chunk\\\" in line: logevent =\",\n \"if line == '': raise StopIteration line = line.rstrip('\\\\n') le = LogEvent(line) #\",\n \"most 10k, # go back 30k at most to make sure we catch\",\n \"\\\"(?P<movedTo>\\\\S+)\\\".*note: \\\"(?P<note>\\\\S+)\\\"', line) if match: time = logevent.datetime chunk_range = match.group('range') namespace =\",\n \"not self._datetime_format: self._calculate_bounds() return self._datetime_format @property def has_level(self): \\\"\\\"\\\"Lazy evaluation of the whether\",\n \"and self._datetime_nextpos is not None: ret = le.set_datetime_hint(self._datetime_format, self._datetime_nextpos, self.year_rollover) if not ret:\",\n \"le and le.datetime: self._start = le.datetime try: yield le except StopIteration: return states\",\n \"csrs(self): \\\"\\\"\\\"Lazily return the CSRS (if available)\\\"\\\"\\\" if not self._csrs: self._find_sharding_info() return self._csrs\",\n \"logevent = LogEvent(line) match = re.search('for (?P<namespace>\\\\S+).*' 'numSplits: (?P<numSplits>\\\\d+)', line) if match: time\",\n \"None if not self._filesize: self._calculate_bounds() return self._filesize @property def datetime_format(self): \\\"\\\"\\\"Lazy evaluation of\",\n \"jump_back + 1, 1) # roll forward until we found a line with\",\n \"30k at most to make sure we catch one) self.filehandle.seek(0, 2) self._filesize =\",\n \"return self._end @property def timezone(self): \\\"\\\"\\\"Lazy evaluation of timezone of logfile.\\\"\\\"\\\" if not\",\n \"\\\"\\\"\\\" For 3.0 the \\\"[initandlisten] options:\\\" long entry contained the \\\"engine\\\" field if\",\n \"@property def versions(self): \\\"\\\"\\\"Return all version changes.\\\"\\\"\\\" versions = [] for v, _\",\n \"logevent indicates timestamp format has changed, # invalidate hint info self._datetime_format = None\",\n \"def chunks_moved_to(self): \\\"\\\"\\\"Lazily return the chunks moved to this shard (if available)\\\"\\\"\\\" if\",\n \"'DOWN', 'STARTUP', 'STARTUP2', 'RECOVERING', 'ROLLBACK', 'ARBITER', 'UNKNOWN']) def __len__(self): \\\"\\\"\\\"Return the number of\",\n \"match: self._repl_set = match.group('replSet') self._repl_set_version = match.group('replSetVersion') match = re.search(', protocolVersion: (?P<replSetProtocol>\\\\d+), ',\",\n \"namespace = match.group('namespace') # TODO: alter this to find moved from shard name\",\n \"self.filesize step_size = max_mark # check if start_dt is already smaller than first\",\n \"self._calculate_bounds() return self._filesize @property def datetime_format(self): \\\"\\\"\\\"Lazy evaluation of the datetime format.\\\"\\\"\\\" if\",\n \"by :: (?P<errmsg>\\\\S+):', prev_line) steps = None if match: errmsg = match.group('errmsg') else:\",\n \"logevent.datetime: self._end = logevent.datetime break # if there was a roll-over, subtract 1\",\n \"logfile.\\\"\\\"\\\" if not self._timezone: self._calculate_bounds() return self._timezone @property def filesize(self): \\\"\\\"\\\" Lazy evaluation\",\n \"from mtools.util.logevent import LogEvent class LogFile(InputSource): \\\"\\\"\\\"Log file wrapper class. Handles open file\",\n \"and hint datetime format.\\\"\\\"\\\" # use readline here because next() iterator uses internal\",\n \"import datetime from math import ceil from mtools.util.input_source import InputSource from mtools.util.logevent import\",\n \"shards(self): \\\"\\\"\\\"Lazily return the shards (if available)\\\"\\\"\\\" if not self._shards: self._find_sharding_info() return self._shards\",\n \"+= ' (self)' if tokens[-1] in self.states: rs_state = tokens[-1] else: # 2.6\",\n \"= None self._storage_engine = None self._datetime_format = None self._year_rollover = None self._shards =\",\n \"\\\"[initandlisten] wiredtiger_open config:\\\" in line: self._storage_engine = 'wiredTiger' if \\\"command admin.$cmd command: {\",\n \"error)) elif \\\"splitVector\\\" in line: logevent = LogEvent(line) match = re.search('splitVector: \\\"(?P<namespace>\\\\S+)\\\".*,' '\",\n \"= [] self._chunk_splits = [] prev_line = \\\"\\\" for line in self.filehandle: if\",\n \"including potential year rollovers self._calculate_bounds() @property def start(self): \\\"\\\"\\\" Lazy evaluation of start\",\n \"have to look for the \\\"[initandlisten] wiredtiger_open config:\\\" which was present in 3.0,\",\n \"self._iterate_lines() return self._repl_set_version @property def repl_set_protocol(self): \\\"\\\"\\\"Return the replSet protocolVersion (if available).\\\"\\\"\\\" if\",\n \"are at most 10k, # go back 30k at most to make sure\",\n \"= le.datetime try: yield le except StopIteration: return states = (['PRIMARY', 'SECONDARY', 'DOWN',\",\n \"= re.search('replSet: \\\"(?P<replSet>\\\\S+)\\\"', line) if match: self._repl_set = match.group('replSet') match = re.search('engine: \\\"(?P<engine>\\\\S+)\\\"',\",\n \"def _find_sharding_info(self): \\\"\\\"\\\" Iterate over file and find any sharding related information \\\"\\\"\\\"\",\n \"None: self._calculate_bounds() return self._year_rollover @property def num_lines(self): \\\"\\\"\\\" Lazy evaluation of the number\",\n \"% self.filehandle.name) # get end datetime (lines are at most 10k, # go\",\n \"[] self._chunk_splits = [] prev_line = \\\"\\\" for line in self.filehandle: if isinstance(line,\",\n \"line and # next(state for state in states if line.endswith(state))): if \\\"is now\",\n \"le.datetime # future iterations start from the beginning if not self.from_stdin: self.filehandle.seek(0) #\",\n \"if \\\"[mongosMain]\\\" in line: match = re.search(\\\"for (?P<csrsName>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: csrs_info\",\n \"storage engine if available.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._storage_engine @property def shards(self):\",\n \"steps = re.findall('(?P<steps>step \\\\d of \\\\d): (?P<stepTimes>\\\\d+)', line) else: match = re.search(':: caused\",\n \"field So now we have to look for the \\\"[initandlisten] wiredtiger_open config:\\\" which\",\n \"the logfile has any level lines.\\\"\\\"\\\" if self._has_level is None: self._iterate_lines() return self._has_level\",\n \"self._rs_state.append(state) continue if \\\"[rsMgr] replSet\\\" in line: tokens = line.split() if self._hostname: host\",\n \"(curr_pos, self.name, hr, buff[:error_context], buff[error_context:error_context + 1], hr), file=sys.stderr) raise SystemExit(\\\"Cannot parse %s\",\n \"%s with requested options\\\" % self.filehandle.name) else: self.prev_pos = curr_pos if isinstance(buff, bytes):\",\n \"return the chunks split in this shard (if available)\\\"\\\"\\\" if not self._chunk_splits: self._find_sharding_info()\",\n \"self._storage_engine = 'mmapv1' \\\"\\\"\\\" For 3.2 the \\\"[initandlisten] options:\\\" no longer contains the\",\n \"self._repl_set = match.group('replSet') self._repl_set_version = match.group('replSetVersion') match = re.search(', protocolVersion: (?P<replSetProtocol>\\\\d+), ', line)\",\n \"logevent = LogEvent(line) match = re.search('migration (?P<namespace>\\\\S+): \\\\[(?P<range>.*)\\\\)', prev_line) if match: time =\",\n \"self._has_level = True # find version string (fast check to eliminate most lines)\",\n \"added moved_from = \\\"Unknown\\\" note = match.group('note') if note == \\\"success\\\": errmsg =\",\n \"None # make sure bounds are calculated before starting to iterate, # including\",\n \"is wrong line = self.filehandle.readline() if isinstance(line, bytes): line = line.decode('utf-8', 'replace') if\",\n \"line = line.decode(\\\"utf-8\\\", \\\"replace\\\") if self.binary == \\\"mongos\\\": if \\\"Starting new replica set\",\n \"\\\"\\\"\\\"Lazily return the chunks split in this shard (if available)\\\"\\\"\\\" if not self._chunk_splits:\",\n \"log parsing offset) \\\\n%s\\\\n%s\\\\n\\\" % (curr_pos, self.name, hr, buff[:error_context], buff[error_context:error_context + 1], hr),\",\n \"true\\\" in line: match = re.search(' _id: \\\"(?P<replSet>\\\\S+)\\\".*' 'members: (?P<replSetMembers>[^]]+ ])', line) if\",\n \"to find previous \\\" \\\"log line near offset %s in %s:\\\\n\\\\n%s\\\\n%s\\\\n\\\" \\\"<--- (current\",\n \"any level lines.\\\"\\\"\\\" if self._has_level is None: self._iterate_lines() return self._has_level @property def year_rollover(self):\",\n \"self.prev_pos = None self._has_level = None # make sure bounds are calculated before\",\n \"self._repl_set @property def repl_set_members(self): \\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines()\",\n \"le and le.datetime: self._end = le.datetime # future iterations start from the beginning\",\n \"logevent): if (logevent.thread == 'initandlisten' and \\\"db version v\\\" in logevent.line_str): self._binary =\",\n \"in line and # next(state for state in states if line.endswith(state))): if \\\"is\",\n \"raise SystemExit(\\\"Cannot parse %s with requested options\\\" % self.filehandle.name) else: self.prev_pos = curr_pos\",\n \"return self._timezone @property def filesize(self): \\\"\\\"\\\" Lazy evaluation of start and end of\",\n \"time = logevent.datetime chunk_range = match.group('range') namespace = match.group('namespace') # TODO: alter this\",\n \"detected trying to find previous \\\" \\\"log line near offset %s in %s:\\\\n\\\\n%s\\\\n%s\\\\n\\\"\",\n \"LogEvent(line)) self._rs_state.append(state) continue if \\\"[rsMgr] replSet\\\" in line: tokens = line.split() if self._hostname:\",\n \"line: logevent = LogEvent(line) match = re.search('ns: \\\"(?P<namespace>\\\\S+)\\\".*' 'details: { (?P<range>.*\\\\}).*.*note: \\\"(?P<note>\\\\S+)\\\"', line)\",\n \"backwards until we found a truly smaller line while self.filehandle.tell() >= 2 and\",\n \"from __future__ import print_function import os import re import sys from datetime import\",\n \"'': raise StopIteration line = line.rstrip('\\\\n') le = LogEvent(line) # hint format and\",\n \"timestamp format has changed, # invalidate hint info self._datetime_format = None self._datetime_nextpos =\",\n \"def port(self): \\\"\\\"\\\"Lazy evaluation of the binary name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return\",\n \"yield le except StopIteration: return states = (['PRIMARY', 'SECONDARY', 'DOWN', 'STARTUP', 'STARTUP2', 'RECOVERING',\",\n \"if prev: newline_pos = buff[:newline_pos].rfind('\\\\n') # move back to last newline char if\",\n \"for\\\" in line: match = re.search(\\\"for (?P<replSet>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: if self._csrs\",\n \"Iterate over LogFile object. Return a LogEvent object for each line (generator). \\\"\\\"\\\"\",\n \"continue if \\\"[rsMgr] replSet\\\" in line: tokens = line.split() if self._hostname: host =\",\n \"= abs(step_size) if not le: return # now walk backwards until we found\",\n \"datetime import datetime from math import ceil from mtools.util.input_source import InputSource from mtools.util.logevent\",\n \"evaluation of all restarts.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._rs_state @property def binary(self):\",\n \"= None self._datetime_nextpos = None elif le.datetime: # gather new hint info from\",\n \"import os import re import sys from datetime import datetime from math import\",\n \"ceil from mtools.util.input_source import InputSource from mtools.util.logevent import LogEvent class LogFile(InputSource): \\\"\\\"\\\"Log file\",\n \"# roll forward until we found a line with a datetime try: logevent\",\n \"time_taken, error)) elif \\\"Unable to auto-split chunk\\\" in line: logevent = LogEvent(line) match\",\n \"= logevent.datetime split_range = match.group(\\\"range\\\") namespace = match.group(\\\"namespace\\\") time_taken = match.group(\\\"time_taken\\\") numSplits =\",\n \"elif self.binary == \\\"mongod\\\": logevent = LogEvent(line) if \\\"New replica set config in\",\n \"tokens[1].endswith(']'): pos = 4 else: pos = 5 host = tokens[pos] rs_state =\",\n \"match.group('replSetMembers') ) if \\\"moveChunk.from\\\" in line: logevent = LogEvent(line) match = re.search('ns: \\\"(?P<namespace>\\\\S+)\\\".*'\",\n \"match.group('note') if note == \\\"success\\\": errmsg = None steps = re.findall('(?P<steps>step \\\\d of\",\n \"port(self): \\\"\\\"\\\"Lazy evaluation of the binary name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._port\",\n \"le = None while True: try: le = self.next() except StopIteration as e:\",\n \"= \\\"Jumbo\\\" self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) prev_line = line #\",\n \"= self.filehandle.tell() self.filehandle.seek(-min(self._filesize, 30000), 2) for line in reversed(self.filehandle.readlines()): logevent = LogEvent(line) if\",\n \"and nextpos from previous line if self._datetime_format and self._datetime_nextpos is not None: ret\",\n \"+= 1 if logevent.datetime: self._start = logevent.datetime self._timezone = logevent.datetime.tzinfo self._datetime_format = logevent.datetime_format\",\n \"number of lines (can be expensive).\\\"\\\"\\\" self._num_lines = 0 self._restarts = [] self._rs_state\",\n \"it will miss the first line that would otherwise match (as it consumes\",\n \"beginning if not self.from_stdin: self.filehandle.seek(0) # return (instead of raising StopIteration exception) per\",\n \"long entry contained the \\\"engine\\\" field if WiredTiger was the storage engine. There\",\n \"= True error = None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif\",\n \"self._repl_set = None self._repl_set_members = None self._repl_set_version = None self._repl_set_protocol = None self._storage_engine\",\n \"\\\"\\\"\\\"Lazy evaluation of the datetime format.\\\"\\\"\\\" if self._year_rollover is None: self._calculate_bounds() return self._year_rollover\",\n \"match = re.search('{ _id: \\\"(?P<replSet>\\\\S+)\\\", ' 'version: (?P<replSetVersion>\\\\d+), ', line) if match: self._repl_set\",\n \"else: return False version = re.search(r'(\\\\d\\\\.\\\\d\\\\.\\\\d+)', logevent.line_str) if version: version = version.group(1) return\",\n \"(?P<time_taken>\\\\d+)', line) if match: time = logevent.datetime split_range = match.group(\\\"range\\\") namespace = match.group(\\\"namespace\\\")\",\n \"ceil(step_size / 2.) self.filehandle.seek(step_size, 1) le = self._find_curr_line() if not le: break if\",\n \"storage engine. There were only two engines, MMAPv1 and WiredTiger \\\"\\\"\\\" if \\\"[initandlisten]\",\n \"if match: self._storage_engine = match.group('engine') else: self._storage_engine = 'mmapv1' \\\"\\\"\\\" For 3.2 the\",\n \"bytes): line = line.decode(\\\"utf-8\\\", \\\"replace\\\") if (self._has_level is None and line[28:31].strip() in LogEvent.log_levels\",\n \"back 15k characters (at most) and find last newline char jump_back = min(self.filehandle.tell(),\",\n \"eliminate most lines) if \\\"version\\\" in line[:100]: logevent = LogEvent(line) restart = self._check_for_restart(logevent)\",\n \"== \\\"mongos\\\": if \\\"Starting new replica set monitor for\\\" in line: if \\\"[mongosMain]\\\"\",\n \"\\\"(?P<namespace>\\\\S+)\\\".*' 'details: { (?P<range>.*\\\\}).*' 'to: \\\"(?P<movedTo>\\\\S+)\\\".*note: \\\"(?P<note>\\\\S+)\\\"', line) if match: time = logevent.datetime\",\n \"log line). \\\"\\\"\\\" if self.from_stdin: # skip lines until start_dt is reached return\",\n \"# check if start_dt is already smaller than first datetime self.filehandle.seek(0) le =\",\n \"seek position is wrong line = self.filehandle.readline() if isinstance(line, bytes): line = line.decode('utf-8',\",\n \"lines) if \\\"version\\\" in line[:100]: logevent = LogEvent(line) restart = self._check_for_restart(logevent) if restart:\",\n \"two engines, MMAPv1 and WiredTiger \\\"\\\"\\\" if \\\"[initandlisten] options:\\\" in line: match =\",\n \"error)) prev_line = line # reset logfile self.filehandle.seek(0) def fast_forward(self, start_dt): \\\"\\\"\\\" Fast-forward\",\n \"enumerate(self.filehandle): if isinstance(line, bytes): line = line.decode(\\\"utf-8\\\", \\\"replace\\\") if (self._has_level is None and\",\n \"if lines_checked > max_start_lines: break # sanity check before attempting to find end\",\n \"= None self._end = None self._filesize = None self._num_lines = None self._restarts =\",\n \"numSplits, success, time_taken, error)) elif \\\"jumbo\\\" in line: logevent = LogEvent(line) match =\",\n \"/ 2.) self.filehandle.seek(step_size, 1) le = self._find_curr_line() if not le: break if le.datetime\",\n \"namespace = match.group(\\\"namespace\\\") numSplits = match.group('numSplits') success = None time_taken = 0 error\",\n \"but would now tell us definitively that wiredTiger is being used \\\"\\\"\\\" if\",\n \"def restarts(self): \\\"\\\"\\\"Lazy evaluation of all restarts.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._restarts\",\n \"\\\"Starting new replica set monitor for\\\" in line: if \\\"[mongosMain]\\\" in line: match\",\n \"logevent.datetime split_range = None namespace = match.group(\\\"namespace\\\") numSplits = match.group('numSplits') success = None\",\n \"(?P<namespace>\\\\S+).*' 'numSplits: (?P<numSplits>\\\\d+)', line) if match: time = logevent.datetime split_range = None namespace\",\n \"which was present in 3.0, but would now tell us definitively that wiredTiger\",\n \"TODO: alter this to find moved from shard name when SERVER-45770 TICKET is\",\n \"current (or previous if prev=True) line in a log file based on the\",\n \"iterations start from the beginning if not self.from_stdin: self.filehandle.seek(0) # return (instead of\",\n \"was a roll-over, subtract 1 year from start time if self._end < self._start:\",\n \"\\\"\\\"\\\"Lazily return the CSRS (if available)\\\"\\\"\\\" if not self._csrs: self._find_sharding_info() return self._csrs @property\",\n \"@property def chunks_moved_from(self): \\\"\\\"\\\"Lazily return the chunks moved from this shard (if available)\\\"\\\"\\\"\",\n \"Logfile object return if self.from_stdin: return False # we should be able to\",\n \"== \\\"mongod\\\": logevent = LogEvent(line) if \\\"New replica set config in use\\\" in\",\n \"= LogEvent(line) restart = self._check_for_restart(logevent) if restart: self._restarts.append((restart, logevent)) if \\\"starting :\\\" in\",\n \"find previous \\\" \\\"log line near offset %s in %s:\\\\n\\\\n%s\\\\n%s\\\\n\\\" \\\"<--- (current log\",\n \"restart: self._restarts.append((restart, logevent)) if \\\"starting :\\\" in line or \\\"starting:\\\" in line: #\",\n \"object return if self.from_stdin: return False # we should be able to find\",\n \"self._csrs[0]: self._shards.append(( match.group('replSet'), match.group('replSetMembers') )) elif not self._csrs: self._csrs = ( match.group('replSet'), match.group('replSetMembers')\",\n \"60 print(\\\"Fatal log parsing loop detected trying to find previous \\\" \\\"log line\",\n \"self._shards.append(shard_info) elif self.binary == \\\"mongod\\\": logevent = LogEvent(line) if \\\"New replica set config\",\n \"re.search('migration (?P<namespace>\\\\S+): \\\\[(?P<range>.*)\\\\)', prev_line) if match: time = logevent.datetime split_range = match.group(\\\"range\\\") namespace\",\n \"find end date if (self._start is None): raise SystemExit(\\\"Error: <%s> does not appear\",\n \"roll-over, subtract 1 year from start time if self._end < self._start: self._start =\",\n \"elif logevent.thread == 'mongosMain' and ('MongoS' in logevent.line_str or 'mongos' in logevent.line_str): self._binary\",\n \"match.group(\\\"namespace\\\") numSplits = 0 success = False time_taken = 0 error = \\\"Jumbo\\\"\",\n \"(?P<csrsName>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: csrs_info = (match.group('csrsName'), match.group('replSetMembers')) self._csrs = csrs_info else:\",\n \"\\\"\\\"\\\" if not self._end: self._calculate_bounds() return self._end @property def timezone(self): \\\"\\\"\\\"Lazy evaluation of\",\n \"self._hostname = match.group('host') self._port = match.group('port') \\\"\\\"\\\" For 3.0 the \\\"[initandlisten] options:\\\" long\",\n \"state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue if \\\"[rsMgr] replSet\\\" in line: tokens\",\n \"if not self._end: self._calculate_bounds() return self._end @property def timezone(self): \\\"\\\"\\\"Lazy evaluation of timezone\",\n \"if match: self._repl_set_protocol = match.group('replSetProtocol') match = re.search('members: (?P<replSetMembers>[^]]+ ])', line) if match:\",\n \"'SECONDARY', 'DOWN', 'STARTUP', 'STARTUP2', 'RECOVERING', 'ROLLBACK', 'ARBITER', 'UNKNOWN']) def __len__(self): \\\"\\\"\\\"Return the number\",\n \"self.num_lines def _iterate_lines(self): \\\"\\\"\\\"Count number of lines (can be expensive).\\\"\\\"\\\" self._num_lines = 0\",\n \"file wrapper class. Handles open file streams or stdin.\\\"\\\"\\\" def __init__(self, filehandle): \\\"\\\"\\\"Provide\",\n \"self._iterate_lines() return self._num_lines @property def restarts(self): \\\"\\\"\\\"Lazy evaluation of all restarts.\\\"\\\"\\\" if not\",\n \"self._chunks_moved_from: self._find_sharding_info() return self._chunks_moved_from @property def chunk_splits(self): \\\"\\\"\\\"Lazily return the chunks split in\",\n \"self._chunk_splits = [] prev_line = \\\"\\\" for line in self.filehandle: if isinstance(line, bytes):\",\n \"= re.search(', protocolVersion: (?P<replSetProtocol>\\\\d+), ', line) if match: self._repl_set_protocol = match.group('replSetProtocol') match =\",\n \"first line that would otherwise match (as it consumes the log line). \\\"\\\"\\\"\",\n \"self._bounds_calculated = True return True def _find_curr_line(self, prev=False): \\\"\\\"\\\" Internal helper function. Find\",\n \"else: pos = 6 rs_state = ' '.join(tokens[pos:]) state = (host, rs_state, LogEvent(line))\",\n \"python3 from __future__ import print_function import os import re import sys from datetime\",\n \"2 and (le.datetime is None or le.datetime >= start_dt): self.filehandle.seek(-2, 1) le =\",\n \"object for each line (generator). \\\"\\\"\\\" le = None while True: try: le\",\n \"if self._hostname: host = self._hostname + ':' + self._port else: host = os.path.basename(self.name)\",\n \"# fast bisection path max_mark = self.filesize step_size = max_mark # check if\",\n \"\\\\[(?P<range>.*)\\\\) \\\" 'in namespace (?P<namespace>\\\\S+)' ' :: caused by :: (?P<error>\\\\S+): ', line)\",\n \"'RECOVERING', 'ROLLBACK', 'ARBITER', 'UNKNOWN']) def __len__(self): \\\"\\\"\\\"Return the number of lines in a\",\n \"return self._year_rollover @property def num_lines(self): \\\"\\\"\\\" Lazy evaluation of the number of lines.\",\n \"date if (self._start is None): raise SystemExit(\\\"Error: <%s> does not appear to be\",\n \"'ROLLBACK', 'ARBITER', 'UNKNOWN']) def __len__(self): \\\"\\\"\\\"Return the number of lines in a log\",\n \"# reset logfile self.filehandle.seek(0) def fast_forward(self, start_dt): \\\"\\\"\\\" Fast-forward file to given start_dt\",\n \"success = False time_taken = 0 error = match.group(\\\"error\\\") self._chunk_splits.append((time, split_range, namespace, numSplits,\",\n \"self.filehandle.tell() # jump back 15k characters (at most) and find last newline char\",\n \"before starting to iterate, # including potential year rollovers self._calculate_bounds() @property def start(self):\",\n \"self._find_sharding_info() return self._chunk_splits def next(self): \\\"\\\"\\\"Get next line, adjust for year rollover and\",\n \"self.binary == \\\"mongos\\\": if \\\"Starting new replica set monitor for\\\" in line: if\",\n \"match.group(\\\"range\\\") namespace = match.group(\\\"namespace\\\") numSplits = 0 success = False time_taken = 0\",\n \"date for stdin input if not self.start and self.from_stdin: if le and le.datetime:\",\n \"logfile. Returns None for stdin input currently. \\\"\\\"\\\" if self.from_stdin: return None if\",\n \"SystemExit(\\\"Error: <%s> does not appear to be a supported \\\" \\\"MongoDB log file\",\n \"if match: if self._csrs and match.group('replSet') != self._csrs[0]: self._shards.append(( match.group('replSet'), match.group('replSetMembers') )) elif\",\n \"])', line) if match: self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if \\\"Starting new\",\n \"if self.from_stdin: return None if not self._filesize: self._calculate_bounds() return self._filesize @property def datetime_format(self):\",\n \"[] self._chunks_moved_from = [] self._chunks_moved_to = [] self._chunk_splits = [] prev_line = \\\"\\\"\",\n \"end of logfile. Returns None for stdin input currently. \\\"\\\"\\\" if self.from_stdin: return\",\n \"elif not self._csrs: self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if \\\"moveChunk.from\\\" in line:\",\n \"to show before/after the log offset error_context = 300 self.filehandle.seek(-error_context, 1) buff =\",\n \"= [] ln = 0 for ln, line in enumerate(self.filehandle): if isinstance(line, bytes):\",\n \"max_start_lines max_start_lines = 10 lines_checked = 0 # get start datetime for line\",\n \"None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \\\"splitVector\\\" in line: logevent\",\n \"' (?P<range>min:.*), max.*op_msg (?P<time_taken>\\\\d+)', line) if match: time = logevent.datetime split_range = match.group(\\\"range\\\")\",\n \"\\\"\\\"\\\"Lazy evaluation of timezone of logfile.\\\"\\\"\\\" if not self._timezone: self._calculate_bounds() return self._timezone @property\",\n \"self._csrs @property def chunks_moved_to(self): \\\"\\\"\\\"Lazily return the chunks moved to this shard (if\",\n \"= re.search('ns: \\\"(?P<namespace>\\\\S+)\\\".*' 'details: { (?P<range>.*\\\\}).*.*note: \\\"(?P<note>\\\\S+)\\\"', line) if match: time = logevent.datetime\",\n \"if isinstance(line, bytes): line = line.decode(\\\"utf-8\\\", \\\"replace\\\") if self.binary == \\\"mongos\\\": if \\\"Starting\",\n \"match = re.search(\\\"for (?P<shardName>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: shard_info = (match.group('shardName'), match.group('replSetMembers')) self._shards.append(shard_info)\",\n \"file based on the current seek position. \\\"\\\"\\\" curr_pos = self.filehandle.tell() # jump\",\n \"self.from_stdin: if le and le.datetime: self._start = le.datetime try: yield le except StopIteration:\",\n \"present in 3.0, but would now tell us definitively that wiredTiger is being\",\n \"\\\"db version v\\\" in logevent.line_str): self._binary = 'mongod' elif logevent.thread == 'mongosMain' and\",\n \"numSplits = 0 success = False time_taken = 0 error = \\\"Jumbo\\\" self._chunk_splits.append((time,\",\n \"= self.next() while not logevent.datetime: logevent = self.next() return logevent except StopIteration: #\",\n \"step_size = ceil(step_size / 2.) self.filehandle.seek(step_size, 1) le = self._find_curr_line() if not le:\",\n \"self._find_curr_line() if not le: break if le.datetime >= start_dt: step_size = -abs(step_size) else:\",\n \"has any level lines.\\\"\\\"\\\" if self._has_level is None: self._iterate_lines() return self._has_level @property def\",\n \"logevent = LogEvent(line) match = re.search('ns: \\\"(?P<namespace>\\\\S+)\\\".*' 'details: { (?P<range>.*\\\\}).*' 'to: \\\"(?P<movedTo>\\\\S+)\\\".*note: \\\"(?P<note>\\\\S+)\\\"',\",\n \"match.group('numSplits') success = None time_taken = 0 error = None self._chunk_splits.append((time, split_range, namespace,\",\n \"while self.filehandle.tell() >= 2 and (le.datetime is None or le.datetime >= start_dt): self.filehandle.seek(-2,\",\n \"le: return # now walk backwards until we found a truly smaller line\",\n \"return self._datetime_format @property def has_level(self): \\\"\\\"\\\"Lazy evaluation of the whether the logfile has\",\n \"match.group('replSetMembers') # Replica set config logging in MongoDB 3.0+ new_config = (\\\"New replica\",\n \"\\\"\\\"\\\" Iterate over file and find any sharding related information \\\"\\\"\\\" self._shards =\",\n \"re.search(':: caused by :: (?P<errmsg>\\\\S+):', prev_line) steps = None if match: errmsg =\",\n \"\\\"\\\"\\\" Internal helper function. Find the current (or previous if prev=True) line in\",\n \"self._timezone @property def filesize(self): \\\"\\\"\\\" Lazy evaluation of start and end of logfile.\",\n \"logfile. Returns None for stdin input currently. \\\"\\\"\\\" if not self._end: self._calculate_bounds() return\",\n \"= match.group('engine') else: self._storage_engine = 'mmapv1' \\\"\\\"\\\" For 3.2 the \\\"[initandlisten] options:\\\" no\",\n \"match.group('namespace') # TODO: alter this to find moved from shard name when SERVER-45770\",\n \"self._start: self._start = self._start.replace(year=self._start.year - 1) self._year_rollover = self._end else: self._year_rollover = False\",\n \"self._datetime_format = None self._datetime_nextpos = None elif le.datetime: # gather new hint info\",\n \"currently. \\\"\\\"\\\" if not self._start: self._calculate_bounds() return self._start @property def end(self): \\\"\\\"\\\" Lazy\",\n \"match: self._repl_set_protocol = match.group('replSetProtocol') match = re.search('members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set_members\",\n \"= None self._binary = None self._timezone = None self._hostname = None self._port =\",\n \"not ret: # logevent indicates timestamp format has changed, # invalidate hint info\",\n \"self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \\\"jumbo\\\" in line: logevent =\",\n \"admin.$cmd command: { replSetInitiate:\\\" in line: match = re.search('{ _id: \\\"(?P<replSet>\\\\S+)\\\", ' 'members:\",\n \"\\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set_members @property def\",\n \"bound while abs(step_size) > 100: step_size = ceil(step_size / 2.) self.filehandle.seek(step_size, 1) le\",\n \"= re.search(\\\"for (?P<csrsName>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: csrs_info = (match.group('csrsName'), match.group('replSetMembers')) self._csrs =\",\n \"= csrs_info else: match = re.search(\\\"for (?P<shardName>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: shard_info =\",\n \"errmsg = match.group('errmsg') else: errmsg = \\\"Unknown\\\" chunk_migration = (time, chunk_range, moved_to, namespace,\",\n \"else: steps = None match = re.search('errmsg: \\\"(?P<errmsg>.*)\\\"', line) if match: errmsg =\",\n \"= None elif le.datetime: # gather new hint info from another logevent self._datetime_format\",\n \"v != versions[-1]: versions.append(v) return versions @property def repl_set(self): \\\"\\\"\\\"Return the replSet (if\",\n \"\\\"replace\\\") if self.binary == \\\"mongos\\\": if \\\"Starting new replica set monitor for\\\" in\",\n \"errmsg = None steps = re.findall('(?P<steps>step \\\\d of \\\\d): (?P<stepTimes>\\\\d+)', line) else: steps\",\n \"def year_rollover(self): \\\"\\\"\\\"Lazy evaluation of the datetime format.\\\"\\\"\\\" if self._year_rollover is None: self._calculate_bounds()\",\n \"else: # fast bisection path max_mark = self.filesize step_size = max_mark # check\",\n \"def __init__(self, filehandle): \\\"\\\"\\\"Provide logfile as open file stream or stdin.\\\"\\\"\\\" self.filehandle =\",\n \"self.filehandle: logevent = LogEvent(line) lines_checked += 1 if logevent.datetime: self._start = logevent.datetime self._timezone\",\n \"= None self._csrs = None self._chunks_moved_from = None self._chunks_moved_to = None self._chunk_splits =\",\n \"False # we should be able to find a valid log line within\",\n \"year_rollover(self): \\\"\\\"\\\"Lazy evaluation of the datetime format.\\\"\\\"\\\" if self._year_rollover is None: self._calculate_bounds() return\",\n \"max_mark # check if start_dt is already smaller than first datetime self.filehandle.seek(0) le\",\n \"changed, # invalidate hint info self._datetime_format = None self._datetime_nextpos = None elif le.datetime:\",\n \"self.next() while not logevent.datetime: logevent = self.next() return logevent except StopIteration: # reached\",\n \"line: match = re.search('{ _id: \\\"(?P<replSet>\\\\S+)\\\", ' 'version: (?P<replSetVersion>\\\\d+), ', line) if match:\",\n \"stdin input currently. \\\"\\\"\\\" if self.from_stdin: return None if not self._num_lines: self._iterate_lines() return\",\n \"roll forward until we found a line with a datetime try: logevent =\",\n \"None self._csrs = None self._chunks_moved_from = None self._chunks_moved_to = None self._chunk_splits = None\",\n \"the shards (if available)\\\"\\\"\\\" if not self._shards: self._find_sharding_info() return self._shards @property def csrs(self):\",\n \"\\\"mongod\\\": logevent = LogEvent(line) if \\\"New replica set config in use\\\" in line:\",\n \"because next() iterator uses internal readahead # buffer so seek position is wrong\",\n \"need to recalc bounds for lifetime of a Logfile object return if self.from_stdin:\",\n \"the \\\"[initandlisten] options:\\\" no longer contains the \\\"engine\\\" field So now we have\",\n \"in line: match = re.search('{ _id: \\\"(?P<replSet>\\\\S+)\\\", ' 'version: (?P<replSetVersion>\\\\d+), ', line) if\",\n \"in LogEvent.log_levels and line[31:39].strip() in LogEvent.log_components): self._has_level = True # find version string\",\n \"not self._num_lines: self._iterate_lines() return self._binary @property def hostname(self): \\\"\\\"\\\"Lazy evaluation of the binary\",\n \"return None def _find_sharding_info(self): \\\"\\\"\\\" Iterate over file and find any sharding related\",\n \"self._year_rollover = self._end else: self._year_rollover = False # reset logfile self.filehandle.seek(0) self._bounds_calculated =\",\n \"re.search('replSet: \\\"(?P<replSet>\\\\S+)\\\"', line) if match: self._repl_set = match.group('replSet') match = re.search('engine: \\\"(?P<engine>\\\\S+)\\\"', line)\",\n \"is added moved_from = \\\"Unknown\\\" note = match.group('note') if note == \\\"success\\\": errmsg\",\n \"lower bound while abs(step_size) > 100: step_size = ceil(step_size / 2.) self.filehandle.seek(step_size, 1)\",\n \"\\\"\\\"\\\"Lazy evaluation of the binary name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._binary @property\",\n \"1 # reset logfile self.filehandle.seek(0) def _check_for_restart(self, logevent): if (logevent.thread == 'initandlisten' and\",\n \"return self._hostname @property def port(self): \\\"\\\"\\\"Lazy evaluation of the binary name.\\\"\\\"\\\" if not\",\n \"field if WiredTiger was the storage engine. There were only two engines, MMAPv1\",\n \"in line: logevent = LogEvent(line) match = re.search('for (?P<namespace>\\\\S+).*' 'numSplits: (?P<numSplits>\\\\d+)', line) if\",\n \"= (time, chunk_range, moved_to, namespace, steps, note, errmsg) self._chunks_moved_from.append(chunk_migration) if \\\"moveChunk.to\\\" in line:\",\n \"versions.append(v) return versions @property def repl_set(self): \\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\" if not\",\n \"for hostname, port match = re.search('port=(?P<port>\\\\d+).*host=(?P<host>\\\\S+)', line) if match: self._hostname = match.group('host') self._port\",\n \"recalc bounds for lifetime of a Logfile object return if self.from_stdin: return False\",\n \"shard (if available)\\\"\\\"\\\" if not self._chunks_moved_to: self._find_sharding_info() return self._chunks_moved_to @property def chunks_moved_from(self): \\\"\\\"\\\"Lazily\",\n \"chunk\\\" in line: logevent = LogEvent(line) match = re.search(\\\"chunk \\\\[(?P<range>.*)\\\\) \\\" 'in namespace\",\n \"re.search('port=(?P<port>\\\\d+).*host=(?P<host>\\\\S+)', line) if match: self._hostname = match.group('host') self._port = match.group('port') \\\"\\\"\\\" For 3.0\",\n \"import InputSource from mtools.util.logevent import LogEvent class LogFile(InputSource): \\\"\\\"\\\"Log file wrapper class. Handles\",\n \"reversed(self.filehandle.readlines()): logevent = LogEvent(line) if logevent.datetime: self._end = logevent.datetime break # if there\",\n \"= (match.group('csrsName'), match.group('replSetMembers')) self._csrs = csrs_info else: match = re.search(\\\"for (?P<shardName>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line)\",\n \"def next(self): \\\"\\\"\\\"Get next line, adjust for year rollover and hint datetime format.\\\"\\\"\\\"\",\n \"line in self.filehandle: if isinstance(line, bytes): line = line.decode(\\\"utf-8\\\", \\\"replace\\\") if self.binary ==\",\n \"if not self._num_lines: self._iterate_lines() return self._repl_set_version @property def repl_set_protocol(self): \\\"\\\"\\\"Return the replSet protocolVersion\",\n \"\\\") if new_config in line: match = re.search('{ _id: \\\"(?P<replSet>\\\\S+)\\\", ' 'version: (?P<replSetVersion>\\\\d+),\",\n \"if not self._num_lines: self._iterate_lines() return self._rs_state @property def binary(self): \\\"\\\"\\\"Lazy evaluation of the\",\n \"def chunks_moved_from(self): \\\"\\\"\\\"Lazily return the chunks moved from this shard (if available)\\\"\\\"\\\" if\",\n \"in line: logevent = LogEvent(line) match = re.search(\\\"chunk \\\\[(?P<range>.*)\\\\) \\\" 'in namespace (?P<namespace>\\\\S+)'\",\n \"if not self.from_stdin: self.filehandle.seek(0) # return (instead of raising StopIteration exception) per PEP\",\n \"not self._shards: self._find_sharding_info() return self._shards @property def csrs(self): \\\"\\\"\\\"Lazily return the CSRS (if\",\n \"def _iterate_lines(self): \\\"\\\"\\\"Count number of lines (can be expensive).\\\"\\\"\\\" self._num_lines = 0 self._restarts\",\n \"@property def repl_set_members(self): \\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return\",\n \"of raising StopIteration exception) per PEP 479 return # get start date for\",\n \"not self._chunks_moved_to: self._find_sharding_info() return self._chunks_moved_to @property def chunks_moved_from(self): \\\"\\\"\\\"Lazily return the chunks moved\",\n \"set monitor for\\\" in line: if \\\"[mongosMain]\\\" in line: match = re.search(\\\"for (?P<csrsName>\\\\w+)/\\\"\",\n \")) elif not self._csrs: self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if \\\"moveChunk.from\\\" in\",\n \"= ceil(step_size / 2.) self.filehandle.seek(step_size, 1) le = self._find_curr_line() if not le: break\",\n \"moved_to = match.group('movedTo') note = match.group('note') if note == \\\"success\\\": errmsg = None\",\n \"previous line if self._datetime_format and self._datetime_nextpos is not None: ret = le.set_datetime_hint(self._datetime_format, self._datetime_nextpos,\",\n \"# skip lines until start_dt is reached return else: # fast bisection path\",\n \"namespace, steps, note, errmsg) self._chunks_moved_to.append(chunk_migration) if \\\"Finding the split vector for\\\" in line:\",\n \"def csrs(self): \\\"\\\"\\\"Lazily return the CSRS (if available)\\\"\\\"\\\" if not self._csrs: self._find_sharding_info() return\",\n \"no longer contains the \\\"engine\\\" field So now we have to look for\",\n \"trying to find previous \\\" \\\"log line near offset %s in %s:\\\\n\\\\n%s\\\\n%s\\\\n\\\" \\\"<---\",\n \"make sure we catch one) self.filehandle.seek(0, 2) self._filesize = self.filehandle.tell() self.filehandle.seek(-min(self._filesize, 30000), 2)\",\n \"move back to last newline char if newline_pos == -1: self.filehandle.seek(0) return self.next()\",\n \"LogFile object. Return a LogEvent object for each line (generator). \\\"\\\"\\\" le =\",\n \"log file, get end date if not self.end and self.from_stdin: if le and\",\n \"time_taken = 0 error = None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error))\",\n \"0 success = True error = None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken,\",\n \"return logevent except StopIteration: # reached end of file return None def _find_sharding_info(self):\",\n \"= None steps = re.findall('(?P<steps>step \\\\d of \\\\d): (?P<stepTimes>\\\\d+)', line) else: match =\",\n \"input currently. \\\"\\\"\\\" if not self._start: self._calculate_bounds() return self._start @property def end(self): \\\"\\\"\\\"\",\n \"tokens = line.split() # 2.6 if tokens[1].endswith(']'): pos = 4 else: pos =\",\n \"success, time_taken, error)) prev_line = line # reset logfile self.filehandle.seek(0) def fast_forward(self, start_dt):\",\n \"logevent.line_str) if version: version = version.group(1) return version else: return False def _calculate_bounds(self):\",\n \"= None self._chunk_splits = None # Track previous file position for loop detection\",\n \"\\\"[mongosMain]\\\" in line: match = re.search(\\\"for (?P<csrsName>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: csrs_info =\",\n \"if \\\"New replica set config in use\\\" in line: if \\\"configsvr: true\\\" in\",\n \"(can be expensive).\\\"\\\"\\\" self._num_lines = 0 self._restarts = [] self._rs_state = [] ln\",\n \"line) if match: time = logevent.datetime chunk_range = match.group('range') namespace = match.group('namespace') #\",\n \"search. Only fast for files. Streams need to be forwarded manually, and it\",\n \"if match: self._hostname = match.group('host') self._port = match.group('port') \\\"\\\"\\\" For 3.0 the \\\"[initandlisten]\",\n \">= 2 and (le.datetime is None or le.datetime >= start_dt): self.filehandle.seek(-2, 1) le\",\n \"(fast check to eliminate most lines) if \\\"version\\\" in line[:100]: logevent = LogEvent(line)\",\n \"next line, adjust for year rollover and hint datetime format.\\\"\\\"\\\" # use readline\",\n \"line: logevent = LogEvent(line) match = re.search('splitVector: \\\"(?P<namespace>\\\\S+)\\\".*,' ' (?P<range>min:.*), max.*op_msg (?P<time_taken>\\\\d+)', line)\",\n \"and le.datetime: self._start = le.datetime try: yield le except StopIteration: return states =\",\n \"LogEvent(line) restart = self._check_for_restart(logevent) if restart: self._restarts.append((restart, logevent)) if \\\"starting :\\\" in line\",\n \"= 10 lines_checked = 0 # get start datetime for line in self.filehandle:\",\n \"state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue self._num_lines = ln + 1 #\",\n \"newline_pos = buff[:newline_pos].rfind('\\\\n') # move back to last newline char if newline_pos ==\",\n \"in line: self._storage_engine = 'wiredTiger' if \\\"command admin.$cmd command: { replSetInitiate:\\\" in line:\",\n \"related information \\\"\\\"\\\" self._shards = [] self._chunks_moved_from = [] self._chunks_moved_to = [] self._chunk_splits\",\n \"indicates timestamp format has changed, # invalidate hint info self._datetime_format = None self._datetime_nextpos\",\n \"match.group('replSetMembers') # if (\\\"is now in state\\\" in line and # next(state for\",\n \"self._hostname @property def port(self): \\\"\\\"\\\"Lazy evaluation of the binary name.\\\"\\\"\\\" if not self._num_lines:\",\n \"match: errmsg = match.group('errmsg') else: errmsg = \\\"Unknown\\\" chunk_migration = (time, chunk_range, moved_to,\",\n \"hr = \\\"-\\\" * 60 print(\\\"Fatal log parsing loop detected trying to find\",\n \"= 0 error = None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif\",\n \"line within max_start_lines max_start_lines = 10 lines_checked = 0 # get start datetime\",\n \"= match.group(\\\"range\\\") namespace = match.group(\\\"namespace\\\") time_taken = match.group(\\\"time_taken\\\") numSplits = 0 success =\",\n \"= filehandle.name self.from_stdin = filehandle.name == \\\"<stdin>\\\" self._bounds_calculated = False self._start = None\",\n \"return the CSRS (if available)\\\"\\\"\\\" if not self._csrs: self._find_sharding_info() return self._csrs @property def\",\n \"__init__(self, filehandle): \\\"\\\"\\\"Provide logfile as open file stream or stdin.\\\"\\\"\\\" self.filehandle = filehandle\",\n \"storage_engine(self): \\\"\\\"\\\"Return storage engine if available.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._storage_engine @property\",\n \"previous if prev=True) line in a log file based on the current seek\",\n \"year from start time if self._end < self._start: self._start = self._start.replace(year=self._start.year - 1)\",\n \"# reset logfile self.filehandle.seek(0) self._bounds_calculated = True return True def _find_curr_line(self, prev=False): \\\"\\\"\\\"\",\n \"= le.set_datetime_hint(self._datetime_format, self._datetime_nextpos, self.year_rollover) if not ret: # logevent indicates timestamp format has\",\n \"versions(self): \\\"\\\"\\\"Return all version changes.\\\"\\\"\\\" versions = [] for v, _ in self.restarts:\",\n \"if self._has_level is None: self._iterate_lines() return self._has_level @property def year_rollover(self): \\\"\\\"\\\"Lazy evaluation of\",\n \"start time if self._end < self._start: self._start = self._start.replace(year=self._start.year - 1) self._year_rollover =\",\n \"to eliminate most lines) if \\\"version\\\" in line[:100]: logevent = LogEvent(line) restart =\",\n \"le._datetime_nextpos return le def __iter__(self): \\\"\\\"\\\" Iterate over LogFile object. Return a LogEvent\",\n \"in self.restarts: if len(versions) == 0 or v != versions[-1]: versions.append(v) return versions\",\n \"tokens = line.split() if self._hostname: host = self._hostname + ':' + self._port else:\",\n \"if prev=True) line in a log file based on the current seek position.\",\n \"file stream or stdin.\\\"\\\"\\\" self.filehandle = filehandle self.name = filehandle.name self.from_stdin = filehandle.name\",\n \"replica set monitor for\\\" in line: if \\\"[mongosMain]\\\" in line: match = re.search(\\\"for\",\n \"min(self.filehandle.tell(), 15000) self.filehandle.seek(-jump_back, 1) buff = self.filehandle.read(jump_back) self.filehandle.seek(curr_pos, 0) if prev and self.prev_pos\",\n \"isinstance(line, bytes): line = line.decode(\\\"utf-8\\\", \\\"replace\\\") if self.binary == \\\"mongos\\\": if \\\"Starting new\",\n \"namespace, steps, note, errmsg) self._chunks_moved_from.append(chunk_migration) if \\\"moveChunk.to\\\" in line: logevent = LogEvent(line) match\",\n \"= None self._filesize = None self._num_lines = None self._restarts = None self._binary =\",\n \"= self.filehandle.readline() if isinstance(line, bytes): line = line.decode('utf-8', 'replace') if line == '':\",\n \"buff.decode(\\\"utf-8\\\", \\\"replace\\\") newline_pos = buff.rfind('\\\\n') if prev: newline_pos = buff[:newline_pos].rfind('\\\\n') # move back\",\n \"\\\"\\\"\\\" Iterate over LogFile object. Return a LogEvent object for each line (generator).\",\n \"new_config in line: match = re.search('{ _id: \\\"(?P<replSet>\\\\S+)\\\", ' 'version: (?P<replSetVersion>\\\\d+), ', line)\",\n \"is not None and self.prev_pos == curr_pos: # Number of characters to show\",\n \"namespace = match.group(\\\"namespace\\\") numSplits = 0 success = False time_taken = 0 error\",\n \"line) if match: self._repl_set_protocol = match.group('replSetProtocol') match = re.search('members: (?P<replSetMembers>[^]]+ ])', line) if\",\n \"if not self._chunks_moved_from: self._find_sharding_info() return self._chunks_moved_from @property def chunk_splits(self): \\\"\\\"\\\"Lazily return the chunks\",\n \"= None while True: try: le = self.next() except StopIteration as e: #\",\n \"self._port else: host = os.path.basename(self.name) host += ' (self)' if tokens[-1] in self.states:\",\n \"= os.path.basename(self.name) host += ' (self)' if tokens[-1] in self.states: rs_state = tokens[-1]\",\n \"\\\"\\\"\\\"Lazy evaluation of the whether the logfile has any level lines.\\\"\\\"\\\" if self._has_level\",\n \"= 0 # get start datetime for line in self.filehandle: logevent = LogEvent(line)\",\n \"isinstance(buff, bytes): buff = buff.decode(\\\"utf-8\\\", \\\"replace\\\") newline_pos = buff.rfind('\\\\n') if prev: newline_pos =\",\n \"self._chunks_moved_to @property def chunks_moved_from(self): \\\"\\\"\\\"Lazily return the chunks moved from this shard (if\",\n \"self._iterate_lines() return self._repl_set_protocol @property def storage_engine(self): \\\"\\\"\\\"Return storage engine if available.\\\"\\\"\\\" if not\",\n \"check to eliminate most lines) if \\\"version\\\" in line[:100]: logevent = LogEvent(line) restart\",\n \"line = line.decode('utf-8', 'replace') if line == '': raise StopIteration line = line.rstrip('\\\\n')\",\n \"# 2.6 if tokens[1].endswith(']'): pos = 2 else: pos = 6 rs_state =\",\n \"if len(versions) == 0 or v != versions[-1]: versions.append(v) return versions @property def\",\n \"[] self._rs_state = [] ln = 0 for ln, line in enumerate(self.filehandle): if\",\n \"# if (\\\"is now in state\\\" in line and # next(state for state\",\n \"= None self._timezone = None self._hostname = None self._port = None self._rs_state =\",\n \"= match.group('replSetProtocol') match = re.search('members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set_members = match.group('replSetMembers')\",\n \"consumes the log line). \\\"\\\"\\\" if self.from_stdin: # skip lines until start_dt is\",\n \"import LogEvent class LogFile(InputSource): \\\"\\\"\\\"Log file wrapper class. Handles open file streams or\",\n \"WiredTiger was the storage engine. There were only two engines, MMAPv1 and WiredTiger\",\n \"self.filehandle.seek(newline_pos - jump_back + 1, 1) # roll forward until we found a\",\n \"(current log parsing offset) \\\\n%s\\\\n%s\\\\n\\\" % (curr_pos, self.name, hr, buff[:error_context], buff[error_context:error_context + 1],\",\n \"\\\"(?P<engine>\\\\S+)\\\"', line) if match: self._storage_engine = match.group('engine') else: self._storage_engine = 'mmapv1' \\\"\\\"\\\" For\",\n \"get start date for stdin input if not self.start and self.from_stdin: if le\",\n \"moved_from, namespace, steps, note, errmsg) self._chunks_moved_to.append(chunk_migration) if \\\"Finding the split vector for\\\" in\",\n \"the chunks moved to this shard (if available)\\\"\\\"\\\" if not self._chunks_moved_to: self._find_sharding_info() return\",\n \"__future__ import print_function import os import re import sys from datetime import datetime\",\n \"elif le.datetime: # gather new hint info from another logevent self._datetime_format = le.datetime_format\",\n \"= (match.group('shardName'), match.group('replSetMembers')) self._shards.append(shard_info) elif self.binary == \\\"mongod\\\": logevent = LogEvent(line) if \\\"New\",\n \"= filehandle self.name = filehandle.name self.from_stdin = filehandle.name == \\\"<stdin>\\\" self._bounds_calculated = False\",\n \"in self.filehandle: if isinstance(line, bytes): line = line.decode(\\\"utf-8\\\", \\\"replace\\\") if self.binary == \\\"mongos\\\":\",\n \"\\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: csrs_info = (match.group('csrsName'), match.group('replSetMembers')) self._csrs = csrs_info else: match\",\n \"15k characters (at most) and find last newline char jump_back = min(self.filehandle.tell(), 15000)\",\n \"le = self.next() except StopIteration as e: # end of log file, get\",\n \"not self._timezone: self._calculate_bounds() return self._timezone @property def filesize(self): \\\"\\\"\\\" Lazy evaluation of start\",\n \"log offset error_context = 300 self.filehandle.seek(-error_context, 1) buff = self.filehandle.read(curr_pos) hr = \\\"-\\\"\",\n \"filesize(self): \\\"\\\"\\\" Lazy evaluation of start and end of logfile. Returns None for\",\n \"4 else: pos = 5 host = tokens[pos] rs_state = tokens[-1] state =\",\n \"self.from_stdin: return False # we should be able to find a valid log\",\n \"characters (at most) and find last newline char jump_back = min(self.filehandle.tell(), 15000) self.filehandle.seek(-jump_back,\",\n \"supported \\\" \\\"MongoDB log file format\\\" % self.filehandle.name) # get end datetime (lines\",\n \"self._binary = 'mongod' elif logevent.thread == 'mongosMain' and ('MongoS' in logevent.line_str or 'mongos'\",\n \"search for lower bound while abs(step_size) > 100: step_size = ceil(step_size / 2.)\",\n \"are calculated before starting to iterate, # including potential year rollovers self._calculate_bounds() @property\",\n \"True def _find_curr_line(self, prev=False): \\\"\\\"\\\" Internal helper function. Find the current (or previous\",\n \"line: if \\\"[mongosMain]\\\" in line: match = re.search(\\\"for (?P<csrsName>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match:\",\n \"line # reset logfile self.filehandle.seek(0) def fast_forward(self, start_dt): \\\"\\\"\\\" Fast-forward file to given\",\n \"version = re.search(r'(\\\\d\\\\.\\\\d\\\\.\\\\d+)', logevent.line_str) if version: version = version.group(1) return version else: return\",\n \"self._num_lines: self._iterate_lines() return self._repl_set_protocol @property def storage_engine(self): \\\"\\\"\\\"Return storage engine if available.\\\"\\\"\\\" if\",\n \"le = LogEvent(line) # hint format and nextpos from previous line if self._datetime_format\",\n \"else: pos = 5 host = tokens[pos] rs_state = tokens[-1] state = (host,\",\n \"= re.search('ns: \\\"(?P<namespace>\\\\S+)\\\".*' 'details: { (?P<range>.*\\\\}).*' 'to: \\\"(?P<movedTo>\\\\S+)\\\".*note: \\\"(?P<note>\\\\S+)\\\"', line) if match: time\",\n \"= re.search('members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set_members = match.group('replSetMembers') # if (\\\"is\",\n \"self._binary = 'mongos' else: return False version = re.search(r'(\\\\d\\\\.\\\\d\\\\.\\\\d+)', logevent.line_str) if version: version\",\n \"one) self.filehandle.seek(0, 2) self._filesize = self.filehandle.tell() self.filehandle.seek(-min(self._filesize, 30000), 2) for line in reversed(self.filehandle.readlines()):\",\n \"return states = (['PRIMARY', 'SECONDARY', 'DOWN', 'STARTUP', 'STARTUP2', 'RECOVERING', 'ROLLBACK', 'ARBITER', 'UNKNOWN']) def\",\n \"(?P<replSetProtocol>\\\\d+), ', line) if match: self._repl_set_protocol = match.group('replSetProtocol') match = re.search('members: (?P<replSetMembers>[^]]+ ])',\",\n \"\\\"moveChunk.to\\\" in line: logevent = LogEvent(line) match = re.search('ns: \\\"(?P<namespace>\\\\S+)\\\".*' 'details: { (?P<range>.*\\\\}).*.*note:\",\n \"shard_info = (match.group('shardName'), match.group('replSetMembers')) self._shards.append(shard_info) elif self.binary == \\\"mongod\\\": logevent = LogEvent(line) if\",\n \"\\\\d of \\\\d): (?P<stepTimes>\\\\d+)', line) else: steps = None match = re.search('errmsg: \\\"(?P<errmsg>.*)\\\"',\",\n \"end date if not self.end and self.from_stdin: if le and le.datetime: self._end =\",\n \"= buff[:newline_pos].rfind('\\\\n') # move back to last newline char if newline_pos == -1:\",\n \"2.6 if tokens[1].endswith(']'): pos = 2 else: pos = 6 rs_state = '\",\n \"now in state\\\" in line and # next(state for state in states if\",\n \"except StopIteration: return states = (['PRIMARY', 'SECONDARY', 'DOWN', 'STARTUP', 'STARTUP2', 'RECOVERING', 'ROLLBACK', 'ARBITER',\",\n \"])', line) if match: self._repl_set_members = match.group('replSetMembers') # if (\\\"is now in state\\\"\",\n \"year rollover and hint datetime format.\\\"\\\"\\\" # use readline here because next() iterator\",\n \"and match.group('replSet') != self._csrs[0]: self._shards.append(( match.group('replSet'), match.group('replSetMembers') )) elif not self._csrs: self._csrs =\",\n \"# jump back 15k characters (at most) and find last newline char jump_back\",\n \"in %s:\\\\n\\\\n%s\\\\n%s\\\\n\\\" \\\"<--- (current log parsing offset) \\\\n%s\\\\n%s\\\\n\\\" % (curr_pos, self.name, hr, buff[:error_context],\",\n \"moved to this shard (if available)\\\"\\\"\\\" if not self._chunks_moved_to: self._find_sharding_info() return self._chunks_moved_to @property\",\n \"namespace, numSplits, success, time_taken, error)) prev_line = line # reset logfile self.filehandle.seek(0) def\",\n \"= match.group('namespace') moved_to = match.group('movedTo') note = match.group('note') if note == \\\"success\\\": errmsg\",\n \"get end date if not self.end and self.from_stdin: if le and le.datetime: self._end\",\n \"return self._repl_set_members @property def repl_set_version(self): \\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\" if not self._num_lines:\",\n \"and WiredTiger \\\"\\\"\\\" if \\\"[initandlisten] options:\\\" in line: match = re.search('replSet: \\\"(?P<replSet>\\\\S+)\\\"', line)\",\n \"self._repl_set_version @property def repl_set_protocol(self): \\\"\\\"\\\"Return the replSet protocolVersion (if available).\\\"\\\"\\\" if not self._num_lines:\",\n \"\\\"replace\\\") newline_pos = buff.rfind('\\\\n') if prev: newline_pos = buff[:newline_pos].rfind('\\\\n') # move back to\",\n \"newline_pos = buff.rfind('\\\\n') if prev: newline_pos = buff[:newline_pos].rfind('\\\\n') # move back to last\",\n \"chunk_range, moved_from, namespace, steps, note, errmsg) self._chunks_moved_to.append(chunk_migration) if \\\"Finding the split vector for\\\"\",\n \"shards (if available)\\\"\\\"\\\" if not self._shards: self._find_sharding_info() return self._shards @property def csrs(self): \\\"\\\"\\\"Lazily\",\n \"in 3.0, but would now tell us definitively that wiredTiger is being used\",\n \"2.6 if tokens[1].endswith(']'): pos = 4 else: pos = 5 host = tokens[pos]\",\n \"self._num_lines: self._iterate_lines() return self._rs_state @property def binary(self): \\\"\\\"\\\"Lazy evaluation of the binary name.\\\"\\\"\\\"\",\n \"host = self._hostname + ':' + self._port else: host = os.path.basename(self.name) host +=\",\n \"= match.group('replSetVersion') match = re.search(', protocolVersion: (?P<replSetProtocol>\\\\d+), ', line) if match: self._repl_set_protocol =\",\n \"match.group('replSet'), match.group('replSetMembers') )) elif not self._csrs: self._csrs = ( match.group('replSet'), match.group('replSetMembers') ) if\",\n \"time = logevent.datetime chunk_range = match.group('range') namespace = match.group('namespace') moved_to = match.group('movedTo') note\",\n \"datetime_format(self): \\\"\\\"\\\"Lazy evaluation of the datetime format.\\\"\\\"\\\" if not self._datetime_format: self._calculate_bounds() return self._datetime_format\",\n \"# look for hostname, port match = re.search('port=(?P<port>\\\\d+).*host=(?P<host>\\\\S+)', line) if match: self._hostname =\",\n \"nextpos from previous line if self._datetime_format and self._datetime_nextpos is not None: ret =\",\n \"not self._num_lines: self._iterate_lines() return self._repl_set_protocol @property def storage_engine(self): \\\"\\\"\\\"Return storage engine if available.\\\"\\\"\\\"\",\n \"and self.from_stdin: if le and le.datetime: self._end = le.datetime # future iterations start\",\n \"# Replica set config logging in MongoDB 3.0+ new_config = (\\\"New replica set\",\n \"this shard (if available)\\\"\\\"\\\" if not self._chunks_moved_to: self._find_sharding_info() return self._chunks_moved_to @property def chunks_moved_from(self):\",\n \"to be a supported \\\" \\\"MongoDB log file format\\\" % self.filehandle.name) # get\",\n \"re.search('members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set_members = match.group('replSetMembers') # if (\\\"is now\",\n \"was present in 3.0, but would now tell us definitively that wiredTiger is\",\n \"protocolVersion (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set_protocol @property def storage_engine(self): \\\"\\\"\\\"Return\",\n \"= tokens[-1] state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue if \\\"[rsMgr] replSet\\\" in\",\n \"options\\\" % self.filehandle.name) else: self.prev_pos = curr_pos if isinstance(buff, bytes): buff = buff.decode(\\\"utf-8\\\",\",\n \"reset logfile self.filehandle.seek(0) def _check_for_restart(self, logevent): if (logevent.thread == 'initandlisten' and \\\"db version\",\n \"with a datetime try: logevent = self.next() while not logevent.datetime: logevent = self.next()\",\n \"( match.group('replSet'), match.group('replSetMembers') ) if \\\"moveChunk.from\\\" in line: logevent = LogEvent(line) match =\",\n \"match = re.search('{ _id: \\\"(?P<replSet>\\\\S+)\\\", ' 'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set\",\n \"self._timezone: self._calculate_bounds() return self._timezone @property def filesize(self): \\\"\\\"\\\" Lazy evaluation of start and\",\n \"the number of lines. Returns None for stdin input currently. \\\"\\\"\\\" if self.from_stdin:\",\n \"= [] for v, _ in self.restarts: if len(versions) == 0 or v\",\n \"StopIteration line = line.rstrip('\\\\n') le = LogEvent(line) # hint format and nextpos from\",\n \"line = line.decode(\\\"utf-8\\\", \\\"replace\\\") if (self._has_level is None and line[28:31].strip() in LogEvent.log_levels and\",\n \"# now walk backwards until we found a truly smaller line while self.filehandle.tell()\",\n \"match = re.search('port=(?P<port>\\\\d+).*host=(?P<host>\\\\S+)', line) if match: self._hostname = match.group('host') self._port = match.group('port') \\\"\\\"\\\"\",\n \"and end of logfile. Returns None for stdin input currently. \\\"\\\"\\\" if self.from_stdin:\",\n \"line: tokens = line.split() # 2.6 if tokens[1].endswith(']'): pos = 4 else: pos\",\n \"if start_dt is already smaller than first datetime self.filehandle.seek(0) le = self.next() if\",\n \"self._rs_state.append(state) continue self._num_lines = ln + 1 # reset logfile self.filehandle.seek(0) def _check_for_restart(self,\",\n \"of logfile.\\\"\\\"\\\" if self._bounds_calculated: # Assume no need to recalc bounds for lifetime\",\n \"self._port @property def versions(self): \\\"\\\"\\\"Return all version changes.\\\"\\\"\\\" versions = [] for v,\",\n \"self._rs_state = [] ln = 0 for ln, line in enumerate(self.filehandle): if isinstance(line,\",\n \"state in states if line.endswith(state))): if \\\"is now in state\\\" in line: tokens\",\n \"line) if match: shard_info = (match.group('shardName'), match.group('replSetMembers')) self._shards.append(shard_info) elif self.binary == \\\"mongod\\\": logevent\",\n \"re.search('engine: \\\"(?P<engine>\\\\S+)\\\"', line) if match: self._storage_engine = match.group('engine') else: self._storage_engine = 'mmapv1' \\\"\\\"\\\"\",\n \"from previous line if self._datetime_format and self._datetime_nextpos is not None: ret = le.set_datetime_hint(self._datetime_format,\",\n \"le.datetime: self._start = le.datetime try: yield le except StopIteration: return states = (['PRIMARY',\",\n \"shard (if available)\\\"\\\"\\\" if not self._chunk_splits: self._find_sharding_info() return self._chunk_splits def next(self): \\\"\\\"\\\"Get next\",\n \"repl_set_protocol(self): \\\"\\\"\\\"Return the replSet protocolVersion (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set_protocol\",\n \"for lifetime of a Logfile object return if self.from_stdin: return False # we\",\n \"le.set_datetime_hint(self._datetime_format, self._datetime_nextpos, self.year_rollover) if not ret: # logevent indicates timestamp format has changed,\",\n \"in line: logevent = LogEvent(line) match = re.search('splitVector: \\\"(?P<namespace>\\\\S+)\\\".*,' ' (?P<range>min:.*), max.*op_msg (?P<time_taken>\\\\d+)',\",\n \"if le and le.datetime: self._end = le.datetime # future iterations start from the\",\n \"should be able to find a valid log line within max_start_lines max_start_lines =\",\n \"a LogEvent object for each line (generator). \\\"\\\"\\\" le = None while True:\",\n \"= LogEvent(line) lines_checked += 1 if logevent.datetime: self._start = logevent.datetime self._timezone = logevent.datetime.tzinfo\",\n \"self._start = le.datetime try: yield le except StopIteration: return states = (['PRIMARY', 'SECONDARY',\",\n \"= match.group('range') namespace = match.group('namespace') # TODO: alter this to find moved from\",\n \"of lines (can be expensive).\\\"\\\"\\\" self._num_lines = 0 self._restarts = [] self._rs_state =\",\n \"match.group('host') self._port = match.group('port') \\\"\\\"\\\" For 3.0 the \\\"[initandlisten] options:\\\" long entry contained\",\n \"end(self): \\\"\\\"\\\" Lazy evaluation of start and end of logfile. Returns None for\",\n \"line) if match: self._repl_set = match.group('replSet') match = re.search('engine: \\\"(?P<engine>\\\\S+)\\\"', line) if match:\",\n \"to iterate, # including potential year rollovers self._calculate_bounds() @property def start(self): \\\"\\\"\\\" Lazy\",\n \"logevent = LogEvent(line) restart = self._check_for_restart(logevent) if restart: self._restarts.append((restart, logevent)) if \\\"starting :\\\"\",\n \"@property def year_rollover(self): \\\"\\\"\\\"Lazy evaluation of the datetime format.\\\"\\\"\\\" if self._year_rollover is None:\",\n \"None for stdin input currently. \\\"\\\"\\\" if self.from_stdin: return None if not self._num_lines:\",\n \"format.\\\"\\\"\\\" # use readline here because next() iterator uses internal readahead # buffer\",\n \"return self._storage_engine @property def shards(self): \\\"\\\"\\\"Lazily return the shards (if available)\\\"\\\"\\\" if not\",\n \"lifetime of a Logfile object return if self.from_stdin: return False # we should\",\n \"last newline char jump_back = min(self.filehandle.tell(), 15000) self.filehandle.seek(-jump_back, 1) buff = self.filehandle.read(jump_back) self.filehandle.seek(curr_pos,\",\n \"line (generator). \\\"\\\"\\\" le = None while True: try: le = self.next() except\",\n \"in line: match = re.search('{ _id: \\\"(?P<replSet>\\\\S+)\\\", ' 'members: (?P<replSetMembers>[^]]+ ])', line) if\",\n \"of a Logfile object return if self.from_stdin: return False # we should be\",\n \"rs_state, LogEvent(line)) self._rs_state.append(state) continue self._num_lines = ln + 1 # reset logfile self.filehandle.seek(0)\",\n \"return else: # fast bisection path max_mark = self.filesize step_size = max_mark #\",\n \"(host, rs_state, LogEvent(line)) self._rs_state.append(state) continue if \\\"[rsMgr] replSet\\\" in line: tokens = line.split()\",\n \"evaluation of the datetime format.\\\"\\\"\\\" if not self._datetime_format: self._calculate_bounds() return self._datetime_format @property def\",\n \"input if not self.start and self.from_stdin: if le and le.datetime: self._start = le.datetime\",\n \"self._num_lines: self._iterate_lines() return self._restarts @property def rs_state(self): \\\"\\\"\\\"Lazy evaluation of all restarts.\\\"\\\"\\\" if\",\n \"if not self.start and self.from_stdin: if le and le.datetime: self._start = le.datetime try:\",\n \"self._calculate_bounds() return self._end @property def timezone(self): \\\"\\\"\\\"Lazy evaluation of timezone of logfile.\\\"\\\"\\\" if\",\n \"1 year from start time if self._end < self._start: self._start = self._start.replace(year=self._start.year -\",\n \":: (?P<error>\\\\S+): ', line) if match: time = logevent.datetime split_range = match.group(\\\"range\\\") namespace\",\n \"def __iter__(self): \\\"\\\"\\\" Iterate over LogFile object. Return a LogEvent object for each\",\n \"self.from_stdin: return None if not self._num_lines: self._iterate_lines() return self._num_lines @property def restarts(self): \\\"\\\"\\\"Lazy\",\n \"format.\\\"\\\"\\\" if not self._datetime_format: self._calculate_bounds() return self._datetime_format @property def has_level(self): \\\"\\\"\\\"Lazy evaluation of\",\n \"if not self._num_lines: self._iterate_lines() return self._hostname @property def port(self): \\\"\\\"\\\"Lazy evaluation of the\",\n \"= ln + 1 # reset logfile self.filehandle.seek(0) def _check_for_restart(self, logevent): if (logevent.thread\",\n \"re.search(\\\"chunk \\\\[(?P<range>.*)\\\\) \\\" 'in namespace (?P<namespace>\\\\S+)' ' :: caused by :: (?P<error>\\\\S+): ',\",\n \"in line: if \\\"configsvr: true\\\" in line: match = re.search(' _id: \\\"(?P<replSet>\\\\S+)\\\".*' 'members:\",\n \"= None self._repl_set_protocol = None self._storage_engine = None self._datetime_format = None self._year_rollover =\",\n \"return le = None self.filehandle.seek(0) # search for lower bound while abs(step_size) >\",\n \"= 5 host = tokens[pos] rs_state = tokens[-1] state = (host, rs_state, LogEvent(line))\",\n \"self._num_lines: self._iterate_lines() return self._hostname @property def port(self): \\\"\\\"\\\"Lazy evaluation of the binary name.\\\"\\\"\\\"\",\n \"self._has_level is None: self._iterate_lines() return self._has_level @property def year_rollover(self): \\\"\\\"\\\"Lazy evaluation of the\",\n \"version.group(1) return version else: return False def _calculate_bounds(self): \\\"\\\"\\\"Calculate beginning and end of\",\n \"line = self.filehandle.readline() if isinstance(line, bytes): line = line.decode('utf-8', 'replace') if line ==\",\n \"self._iterate_lines() return self._has_level @property def year_rollover(self): \\\"\\\"\\\"Lazy evaluation of the datetime format.\\\"\\\"\\\" if\",\n \"import re import sys from datetime import datetime from math import ceil from\",\n \"= None self._repl_set = None self._repl_set_members = None self._repl_set_version = None self._repl_set_protocol =\",\n \"of logfile. Returns None for stdin input currently. \\\"\\\"\\\" if not self._start: self._calculate_bounds()\",\n \"LogEvent(line) if logevent.datetime: self._end = logevent.datetime break # if there was a roll-over,\",\n \"re.search(' _id: \\\"(?P<replSet>\\\\S+)\\\".*' 'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._csrs = ( match.group('replSet'),\",\n \"restart = self._check_for_restart(logevent) if restart: self._restarts.append((restart, logevent)) if \\\"starting :\\\" in line or\",\n \"we found a line with a datetime try: logevent = self.next() while not\",\n \"new hint info from another logevent self._datetime_format = le.datetime_format self._datetime_nextpos = le._datetime_nextpos return\",\n \"timezone(self): \\\"\\\"\\\"Lazy evaluation of timezone of logfile.\\\"\\\"\\\" if not self._timezone: self._calculate_bounds() return self._timezone\",\n \"def __len__(self): \\\"\\\"\\\"Return the number of lines in a log file.\\\"\\\"\\\" return self.num_lines\",\n \"rollovers self._calculate_bounds() @property def start(self): \\\"\\\"\\\" Lazy evaluation of start and end of\",\n \"replSet protocolVersion (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set_protocol @property def storage_engine(self):\",\n \"= tokens[-1] else: # 2.6 if tokens[1].endswith(']'): pos = 2 else: pos =\",\n \"self._start = logevent.datetime self._timezone = logevent.datetime.tzinfo self._datetime_format = logevent.datetime_format self._datetime_nextpos = logevent._datetime_nextpos break\",\n \"lines.\\\"\\\"\\\" if self._has_level is None: self._iterate_lines() return self._has_level @property def year_rollover(self): \\\"\\\"\\\"Lazy evaluation\",\n \"None self._end = None self._filesize = None self._num_lines = None self._restarts = None\",\n \"for loop detection in _find_curr_line() self.prev_pos = None self._has_level = None # make\",\n \"+ 1], hr), file=sys.stderr) raise SystemExit(\\\"Cannot parse %s with requested options\\\" % self.filehandle.name)\",\n \"None steps = re.findall('(?P<steps>step \\\\d of \\\\d): (?P<stepTimes>\\\\d+)', line) else: steps = None\",\n \"# find version string (fast check to eliminate most lines) if \\\"version\\\" in\",\n \"False time_taken = 0 error = match.group(\\\"error\\\") self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken,\",\n \"here because next() iterator uses internal readahead # buffer so seek position is\",\n \"time_taken = 0 error = match.group(\\\"error\\\") self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error))\",\n \"from mtools.util.input_source import InputSource from mtools.util.logevent import LogEvent class LogFile(InputSource): \\\"\\\"\\\"Log file wrapper\",\n \"longer contains the \\\"engine\\\" field So now we have to look for the\",\n \"this shard (if available)\\\"\\\"\\\" if not self._chunk_splits: self._find_sharding_info() return self._chunk_splits def next(self): \\\"\\\"\\\"Get\",\n \"(\\\"is now in state\\\" in line and # next(state for state in states\",\n \"prev: newline_pos = buff[:newline_pos].rfind('\\\\n') # move back to last newline char if newline_pos\",\n \"re.findall('(?P<steps>step \\\\d of \\\\d): (?P<stepTimes>\\\\d+)', line) else: steps = None match = re.search('errmsg:\",\n \"return self._repl_set_version @property def repl_set_protocol(self): \\\"\\\"\\\"Return the replSet protocolVersion (if available).\\\"\\\"\\\" if not\",\n \"use: \\\") if new_config in line: match = re.search('{ _id: \\\"(?P<replSet>\\\\S+)\\\", ' 'version:\",\n \"replSet (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set @property def repl_set_members(self): \\\"\\\"\\\"Return\",\n \"position. \\\"\\\"\\\" curr_pos = self.filehandle.tell() # jump back 15k characters (at most) and\",\n \"(host, rs_state, LogEvent(line)) self._rs_state.append(state) continue self._num_lines = ln + 1 # reset logfile\",\n \"the storage engine. There were only two engines, MMAPv1 and WiredTiger \\\"\\\"\\\" if\",\n \"line) if match: errmsg = match.group('errmsg') chunk_migration = (time, chunk_range, moved_from, namespace, steps,\",\n \"self._start.replace(year=self._start.year - 1) self._year_rollover = self._end else: self._year_rollover = False # reset logfile\",\n \"end date if (self._start is None): raise SystemExit(\\\"Error: <%s> does not appear to\",\n \"\\\"success\\\": errmsg = None steps = re.findall('(?P<steps>step \\\\d of \\\\d): (?P<stepTimes>\\\\d+)', line) else:\",\n \"if self._end < self._start: self._start = self._start.replace(year=self._start.year - 1) self._year_rollover = self._end else:\",\n \"line). \\\"\\\"\\\" if self.from_stdin: # skip lines until start_dt is reached return else:\",\n \"self._end else: self._year_rollover = False # reset logfile self.filehandle.seek(0) self._bounds_calculated = True return\",\n \"\\\"\\\"\\\"Return storage engine if available.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._storage_engine @property def\",\n \"self._year_rollover = None self._shards = None self._csrs = None self._chunks_moved_from = None self._chunks_moved_to\",\n \"def _calculate_bounds(self): \\\"\\\"\\\"Calculate beginning and end of logfile.\\\"\\\"\\\" if self._bounds_calculated: # Assume no\",\n \"format\\\" % self.filehandle.name) # get end datetime (lines are at most 10k, #\",\n \"start and end of logfile. Returns None for stdin input currently. \\\"\\\"\\\" if\",\n \"if not self._num_lines: self._iterate_lines() return self._repl_set @property def repl_set_members(self): \\\"\\\"\\\"Return the replSet (if\",\n \"if isinstance(buff, bytes): buff = buff.decode(\\\"utf-8\\\", \\\"replace\\\") newline_pos = buff.rfind('\\\\n') if prev: newline_pos\",\n \"number of lines in a log file.\\\"\\\"\\\" return self.num_lines def _iterate_lines(self): \\\"\\\"\\\"Count number\",\n \"not self.end and self.from_stdin: if le and le.datetime: self._end = le.datetime # future\",\n \"that wiredTiger is being used \\\"\\\"\\\" if \\\"[initandlisten] wiredtiger_open config:\\\" in line: self._storage_engine\",\n \"file return None def _find_sharding_info(self): \\\"\\\"\\\" Iterate over file and find any sharding\",\n \"hint datetime format.\\\"\\\"\\\" # use readline here because next() iterator uses internal readahead\",\n \"in a log file.\\\"\\\"\\\" return self.num_lines def _iterate_lines(self): \\\"\\\"\\\"Count number of lines (can\",\n \"engine. There were only two engines, MMAPv1 and WiredTiger \\\"\\\"\\\" if \\\"[initandlisten] options:\\\"\",\n \"def repl_set_protocol(self): \\\"\\\"\\\"Return the replSet protocolVersion (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return\",\n \"file to given start_dt datetime obj using binary search. Only fast for files.\",\n \"we have to look for the \\\"[initandlisten] wiredtiger_open config:\\\" which was present in\",\n \"self._hostname + ':' + self._port else: host = os.path.basename(self.name) host += ' (self)'\",\n \"contained the \\\"engine\\\" field if WiredTiger was the storage engine. There were only\",\n \"'mongod' elif logevent.thread == 'mongosMain' and ('MongoS' in logevent.line_str or 'mongos' in logevent.line_str):\",\n \"return self._port @property def versions(self): \\\"\\\"\\\"Return all version changes.\\\"\\\"\\\" versions = [] for\",\n \"format and nextpos from previous line if self._datetime_format and self._datetime_nextpos is not None:\",\n \"available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set_members @property def repl_set_version(self): \\\"\\\"\\\"Return the replSet\",\n \"not self._num_lines: self._iterate_lines() return self._repl_set_members @property def repl_set_version(self): \\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\"\",\n \"match = re.search(' _id: \\\"(?P<replSet>\\\\S+)\\\".*' 'members: (?P<replSetMembers>[^]]+ ])', line) if match: self._csrs =\",\n \"logging in MongoDB 3.0+ new_config = (\\\"New replica set config in use: \\\")\",\n \"# Number of characters to show before/after the log offset error_context = 300\",\n \"\\\"\\\"\\\" le = None while True: try: le = self.next() except StopIteration as\",\n \"a line with a datetime try: logevent = self.next() while not logevent.datetime: logevent\",\n \"\\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: shard_info = (match.group('shardName'), match.group('replSetMembers')) self._shards.append(shard_info) elif self.binary == \\\"mongod\\\":\",\n \"self._port = match.group('port') \\\"\\\"\\\" For 3.0 the \\\"[initandlisten] options:\\\" long entry contained the\",\n \"'STARTUP', 'STARTUP2', 'RECOVERING', 'ROLLBACK', 'ARBITER', 'UNKNOWN']) def __len__(self): \\\"\\\"\\\"Return the number of lines\",\n \"self._iterate_lines() return self._binary @property def hostname(self): \\\"\\\"\\\"Lazy evaluation of the binary name.\\\"\\\"\\\" if\",\n \"self._datetime_format = le.datetime_format self._datetime_nextpos = le._datetime_nextpos return le def __iter__(self): \\\"\\\"\\\" Iterate over\",\n \"in logevent.line_str or 'mongos' in logevent.line_str): self._binary = 'mongos' else: return False version\",\n \"files. Streams need to be forwarded manually, and it will miss the first\",\n \"not self._filesize: self._calculate_bounds() return self._filesize @property def datetime_format(self): \\\"\\\"\\\"Lazy evaluation of the datetime\",\n \"(?P<error>\\\\S+): ', line) if match: time = logevent.datetime split_range = match.group(\\\"range\\\") namespace =\",\n \"= 0 error = match.group(\\\"error\\\") self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif\",\n \"self._hostname = None self._port = None self._rs_state = None self._repl_set = None self._repl_set_members\",\n \"if \\\"moveChunk.to\\\" in line: logevent = LogEvent(line) match = re.search('ns: \\\"(?P<namespace>\\\\S+)\\\".*' 'details: {\",\n \"= LogEvent(line) match = re.search('for (?P<namespace>\\\\S+).*' 'numSplits: (?P<numSplits>\\\\d+)', line) if match: time =\",\n \"next(self): \\\"\\\"\\\"Get next line, adjust for year rollover and hint datetime format.\\\"\\\"\\\" #\",\n \"not None: ret = le.set_datetime_hint(self._datetime_format, self._datetime_nextpos, self.year_rollover) if not ret: # logevent indicates\",\n \"not self._num_lines: self._iterate_lines() return self._port @property def versions(self): \\\"\\\"\\\"Return all version changes.\\\"\\\"\\\" versions\",\n \"pos = 6 rs_state = ' '.join(tokens[pos:]) state = (host, rs_state, LogEvent(line)) self._rs_state.append(state)\",\n \"curr_pos if isinstance(buff, bytes): buff = buff.decode(\\\"utf-8\\\", \\\"replace\\\") newline_pos = buff.rfind('\\\\n') if prev:\",\n \"if note == \\\"success\\\": errmsg = None steps = re.findall('(?P<steps>step \\\\d of \\\\d):\",\n \"\\\" \\\"MongoDB log file format\\\" % self.filehandle.name) # get end datetime (lines are\",\n \"def _find_curr_line(self, prev=False): \\\"\\\"\\\" Internal helper function. Find the current (or previous if\",\n \"% (curr_pos, self.name, hr, buff[:error_context], buff[error_context:error_context + 1], hr), file=sys.stderr) raise SystemExit(\\\"Cannot parse\",\n \"else: self.prev_pos = curr_pos if isinstance(buff, bytes): buff = buff.decode(\\\"utf-8\\\", \\\"replace\\\") newline_pos =\",\n \"(?P<namespace>\\\\S+)' ' :: caused by :: (?P<error>\\\\S+): ', line) if match: time =\",\n \"re.search('splitVector: \\\"(?P<namespace>\\\\S+)\\\".*,' ' (?P<range>min:.*), max.*op_msg (?P<time_taken>\\\\d+)', line) if match: time = logevent.datetime split_range\",\n \"and # next(state for state in states if line.endswith(state))): if \\\"is now in\",\n \"None self._storage_engine = None self._datetime_format = None self._year_rollover = None self._shards = None\",\n \"of log file, get end date if not self.end and self.from_stdin: if le\",\n \"None self._hostname = None self._port = None self._rs_state = None self._repl_set = None\",\n \"= match.group('replSetMembers') # if (\\\"is now in state\\\" in line and # next(state\",\n \"'.join(tokens[pos:]) state = (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue self._num_lines = ln + 1\",\n \"\\\"Finding the split vector for\\\" in line: logevent = LogEvent(line) match = re.search('for\",\n \"set config logging in MongoDB 3.0+ new_config = (\\\"New replica set config in\",\n \"match = re.search('migration (?P<namespace>\\\\S+): \\\\[(?P<range>.*)\\\\)', prev_line) if match: time = logevent.datetime split_range =\",\n \"\\\"\\\"\\\" if self.from_stdin: return None if not self._filesize: self._calculate_bounds() return self._filesize @property def\",\n \"of characters to show before/after the log offset error_context = 300 self.filehandle.seek(-error_context, 1)\",\n \"return the chunks moved from this shard (if available)\\\"\\\"\\\" if not self._chunks_moved_from: self._find_sharding_info()\",\n \"match = re.search('for (?P<namespace>\\\\S+).*' 'numSplits: (?P<numSplits>\\\\d+)', line) if match: time = logevent.datetime split_range\",\n \"(?P<shardName>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: shard_info = (match.group('shardName'), match.group('replSetMembers')) self._shards.append(shard_info) elif self.binary ==\",\n \"line) if match: self._repl_set_members = match.group('replSetMembers') # if (\\\"is now in state\\\" in\",\n \"None self._restarts = None self._binary = None self._timezone = None self._hostname = None\",\n \"= logevent._datetime_nextpos break if lines_checked > max_start_lines: break # sanity check before attempting\",\n \"for files. Streams need to be forwarded manually, and it will miss the\",\n \"match.group('replSet') != self._csrs[0]: self._shards.append(( match.group('replSet'), match.group('replSetMembers') )) elif not self._csrs: self._csrs = (\",\n \"\\\"\\\"\\\" Lazy evaluation of start and end of logfile. Returns None for stdin\",\n \"\\\\d): (?P<stepTimes>\\\\d+)', line) else: match = re.search(':: caused by :: (?P<errmsg>\\\\S+):', prev_line) steps\",\n \"= None self._chunks_moved_from = None self._chunks_moved_to = None self._chunk_splits = None # Track\",\n \"states = (['PRIMARY', 'SECONDARY', 'DOWN', 'STARTUP', 'STARTUP2', 'RECOVERING', 'ROLLBACK', 'ARBITER', 'UNKNOWN']) def __len__(self):\",\n \"if self.from_stdin: # skip lines until start_dt is reached return else: # fast\",\n \"function. Find the current (or previous if prev=True) line in a log file\",\n \"0 error = match.group(\\\"error\\\") self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \\\"jumbo\\\"\",\n \"of the number of lines. Returns None for stdin input currently. \\\"\\\"\\\" if\",\n \"name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._hostname @property def port(self): \\\"\\\"\\\"Lazy evaluation of\",\n \"return le def __iter__(self): \\\"\\\"\\\" Iterate over LogFile object. Return a LogEvent object\",\n \"self._num_lines: self._iterate_lines() return self._num_lines @property def restarts(self): \\\"\\\"\\\"Lazy evaluation of all restarts.\\\"\\\"\\\" if\",\n \"import sys from datetime import datetime from math import ceil from mtools.util.input_source import\",\n \"otherwise match (as it consumes the log line). \\\"\\\"\\\" if self.from_stdin: # skip\",\n \"the binary name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._binary @property def hostname(self): \\\"\\\"\\\"Lazy\",\n \"self._datetime_nextpos = le._datetime_nextpos return le def __iter__(self): \\\"\\\"\\\" Iterate over LogFile object. Return\",\n \") if \\\"Starting new replica set monitor for\\\" in line: match = re.search(\\\"for\",\n \"from math import ceil from mtools.util.input_source import InputSource from mtools.util.logevent import LogEvent class\",\n \"self._num_lines = None self._restarts = None self._binary = None self._timezone = None self._hostname\",\n \"the replSet (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set @property def repl_set_members(self):\",\n \"'numSplits: (?P<numSplits>\\\\d+)', line) if match: time = logevent.datetime split_range = None namespace =\",\n \"from start time if self._end < self._start: self._start = self._start.replace(year=self._start.year - 1) self._year_rollover\",\n \"raise SystemExit(\\\"Error: <%s> does not appear to be a supported \\\" \\\"MongoDB log\",\n \"make sure bounds are calculated before starting to iterate, # including potential year\",\n \"le = self.next() if le.datetime and le.datetime >= start_dt: self.filehandle.seek(0) return le =\",\n \"line) else: steps = None match = re.search('errmsg: \\\"(?P<errmsg>.*)\\\"', line) if match: errmsg\",\n \"start_dt: self.filehandle.seek(0) return le = None self.filehandle.seek(0) # search for lower bound while\",\n \"return True def _find_curr_line(self, prev=False): \\\"\\\"\\\" Internal helper function. Find the current (or\",\n \"no need to recalc bounds for lifetime of a Logfile object return if\",\n \"\\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set_version @property def\",\n \"parse %s with requested options\\\" % self.filehandle.name) else: self.prev_pos = curr_pos if isinstance(buff,\",\n \"match.group(\\\"namespace\\\") numSplits = match.group('numSplits') success = None time_taken = 0 error = None\",\n \"start date for stdin input if not self.start and self.from_stdin: if le and\",\n \"char jump_back = min(self.filehandle.tell(), 15000) self.filehandle.seek(-jump_back, 1) buff = self.filehandle.read(jump_back) self.filehandle.seek(curr_pos, 0) if\",\n \"engines, MMAPv1 and WiredTiger \\\"\\\"\\\" if \\\"[initandlisten] options:\\\" in line: match = re.search('replSet:\",\n \"prev_line = line # reset logfile self.filehandle.seek(0) def fast_forward(self, start_dt): \\\"\\\"\\\" Fast-forward file\",\n \"self._binary @property def hostname(self): \\\"\\\"\\\"Lazy evaluation of the binary name.\\\"\\\"\\\" if not self._num_lines:\",\n \"if prev and self.prev_pos is not None and self.prev_pos == curr_pos: # Number\",\n \"self.filehandle.seek(-jump_back, 1) buff = self.filehandle.read(jump_back) self.filehandle.seek(curr_pos, 0) if prev and self.prev_pos is not\",\n \"raising StopIteration exception) per PEP 479 return # get start date for stdin\",\n \"= False time_taken = 0 error = \\\"Jumbo\\\" self._chunk_splits.append((time, split_range, namespace, numSplits, success,\",\n \"\\\"[rsMgr] replSet\\\" in line: tokens = line.split() if self._hostname: host = self._hostname +\",\n \"for the \\\"[initandlisten] wiredtiger_open config:\\\" which was present in 3.0, but would now\",\n \"time_taken, error)) elif \\\"jumbo\\\" in line: logevent = LogEvent(line) match = re.search('migration (?P<namespace>\\\\S+):\",\n \"and it will miss the first line that would otherwise match (as it\",\n \"= logevent.datetime self._timezone = logevent.datetime.tzinfo self._datetime_format = logevent.datetime_format self._datetime_nextpos = logevent._datetime_nextpos break if\",\n \"return self._repl_set @property def repl_set_members(self): \\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\" if not self._num_lines:\",\n \"self._chunks_moved_to: self._find_sharding_info() return self._chunks_moved_to @property def chunks_moved_from(self): \\\"\\\"\\\"Lazily return the chunks moved from\",\n \"we found a truly smaller line while self.filehandle.tell() >= 2 and (le.datetime is\",\n \"= (host, rs_state, LogEvent(line)) self._rs_state.append(state) continue self._num_lines = ln + 1 # reset\",\n \"already smaller than first datetime self.filehandle.seek(0) le = self.next() if le.datetime and le.datetime\",\n \"== '': raise StopIteration line = line.rstrip('\\\\n') le = LogEvent(line) # hint format\",\n \"line) if match: time = logevent.datetime split_range = None namespace = match.group(\\\"namespace\\\") numSplits\",\n \"match: self._storage_engine = match.group('engine') else: self._storage_engine = 'mmapv1' \\\"\\\"\\\" For 3.2 the \\\"[initandlisten]\",\n \"self._find_sharding_info() return self._chunks_moved_to @property def chunks_moved_from(self): \\\"\\\"\\\"Lazily return the chunks moved from this\",\n \"not self._start: self._calculate_bounds() return self._start @property def end(self): \\\"\\\"\\\" Lazy evaluation of start\",\n \"_id: \\\"(?P<replSet>\\\\S+)\\\", ' 'version: (?P<replSetVersion>\\\\d+), ', line) if match: self._repl_set = match.group('replSet') self._repl_set_version\",\n \"( match.group('replSet'), match.group('replSetMembers') ) if \\\"Starting new replica set monitor for\\\" in line:\",\n \"False def _calculate_bounds(self): \\\"\\\"\\\"Calculate beginning and end of logfile.\\\"\\\"\\\" if self._bounds_calculated: # Assume\",\n \"log file format\\\" % self.filehandle.name) # get end datetime (lines are at most\",\n \"self.end and self.from_stdin: if le and le.datetime: self._end = le.datetime # future iterations\",\n \"error = None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \\\"Unable to\",\n \"gather new hint info from another logevent self._datetime_format = le.datetime_format self._datetime_nextpos = le._datetime_nextpos\",\n \"break # sanity check before attempting to find end date if (self._start is\",\n \"Number of characters to show before/after the log offset error_context = 300 self.filehandle.seek(-error_context,\",\n \"' (self)' if tokens[-1] in self.states: rs_state = tokens[-1] else: # 2.6 if\",\n \"So now we have to look for the \\\"[initandlisten] wiredtiger_open config:\\\" which was\",\n \"# make sure bounds are calculated before starting to iterate, # including potential\",\n \"check before attempting to find end date if (self._start is None): raise SystemExit(\\\"Error:\",\n \"available.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._storage_engine @property def shards(self): \\\"\\\"\\\"Lazily return the\",\n \"= match.group('host') self._port = match.group('port') \\\"\\\"\\\" For 3.0 the \\\"[initandlisten] options:\\\" long entry\",\n \"line: match = re.search('replSet: \\\"(?P<replSet>\\\\S+)\\\"', line) if match: self._repl_set = match.group('replSet') match =\",\n \"print(\\\"Fatal log parsing loop detected trying to find previous \\\" \\\"log line near\",\n \"line with a datetime try: logevent = self.next() while not logevent.datetime: logevent =\",\n \"in line or \\\"starting:\\\" in line: # look for hostname, port match =\",\n \"self._chunks_moved_to.append(chunk_migration) if \\\"Finding the split vector for\\\" in line: logevent = LogEvent(line) match\",\n \"for stdin input currently. \\\"\\\"\\\" if not self._start: self._calculate_bounds() return self._start @property def\",\n \"\\\"[initandlisten] options:\\\" long entry contained the \\\"engine\\\" field if WiredTiger was the storage\",\n \"in line: # look for hostname, port match = re.search('port=(?P<port>\\\\d+).*host=(?P<host>\\\\S+)', line) if match:\",\n \"time = logevent.datetime split_range = None namespace = match.group(\\\"namespace\\\") numSplits = match.group('numSplits') success\",\n \"self.filehandle.seek(curr_pos, 0) if prev and self.prev_pos is not None and self.prev_pos == curr_pos:\",\n \"currently. \\\"\\\"\\\" if self.from_stdin: return None if not self._num_lines: self._iterate_lines() return self._num_lines @property\",\n \"line: match = re.search('{ _id: \\\"(?P<replSet>\\\\S+)\\\", ' 'members: (?P<replSetMembers>[^]]+ ])', line) if match:\",\n \"the split vector for\\\" in line: logevent = LogEvent(line) match = re.search('for (?P<namespace>\\\\S+).*'\",\n \"line[:100]: logevent = LogEvent(line) restart = self._check_for_restart(logevent) if restart: self._restarts.append((restart, logevent)) if \\\"starting\",\n \"for ln, line in enumerate(self.filehandle): if isinstance(line, bytes): line = line.decode(\\\"utf-8\\\", \\\"replace\\\") if\",\n \"\\\\d of \\\\d): (?P<stepTimes>\\\\d+)', line) else: match = re.search(':: caused by :: (?P<errmsg>\\\\S+):',\",\n \"= None self._datetime_format = None self._year_rollover = None self._shards = None self._csrs =\",\n \"found a truly smaller line while self.filehandle.tell() >= 2 and (le.datetime is None\",\n \"for\\\" in line: if \\\"[mongosMain]\\\" in line: match = re.search(\\\"for (?P<csrsName>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line)\",\n \"# 2.6 if tokens[1].endswith(']'): pos = 4 else: pos = 5 host =\",\n \"self.filehandle.seek(0) le = self.next() if le.datetime and le.datetime >= start_dt: self.filehandle.seek(0) return le\",\n \"state\\\" in line and # next(state for state in states if line.endswith(state))): if\",\n \"the replSet protocolVersion (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set_protocol @property def\",\n \"def shards(self): \\\"\\\"\\\"Lazily return the shards (if available)\\\"\\\"\\\" if not self._shards: self._find_sharding_info() return\",\n \"\\\"starting:\\\" in line: # look for hostname, port match = re.search('port=(?P<port>\\\\d+).*host=(?P<host>\\\\S+)', line) if\",\n \"lines. Returns None for stdin input currently. \\\"\\\"\\\" if self.from_stdin: return None if\",\n \"3.0 the \\\"[initandlisten] options:\\\" long entry contained the \\\"engine\\\" field if WiredTiger was\",\n \"self._end = le.datetime # future iterations start from the beginning if not self.from_stdin:\",\n \"detection in _find_curr_line() self.prev_pos = None self._has_level = None # make sure bounds\",\n \"_iterate_lines(self): \\\"\\\"\\\"Count number of lines (can be expensive).\\\"\\\"\\\" self._num_lines = 0 self._restarts =\",\n \"match.group('replSetVersion') match = re.search(', protocolVersion: (?P<replSetProtocol>\\\\d+), ', line) if match: self._repl_set_protocol = match.group('replSetProtocol')\",\n \"'initandlisten' and \\\"db version v\\\" in logevent.line_str): self._binary = 'mongod' elif logevent.thread ==\",\n \"if new_config in line: match = re.search('{ _id: \\\"(?P<replSet>\\\\S+)\\\", ' 'version: (?P<replSetVersion>\\\\d+), ',\",\n \"1 if logevent.datetime: self._start = logevent.datetime self._timezone = logevent.datetime.tzinfo self._datetime_format = logevent.datetime_format self._datetime_nextpos\",\n \"hostname, port match = re.search('port=(?P<port>\\\\d+).*host=(?P<host>\\\\S+)', line) if match: self._hostname = match.group('host') self._port =\",\n \"print_function import os import re import sys from datetime import datetime from math\",\n \"there was a roll-over, subtract 1 year from start time if self._end <\",\n \"parsing loop detected trying to find previous \\\" \\\"log line near offset %s\",\n \"logevent.datetime_format self._datetime_nextpos = logevent._datetime_nextpos break if lines_checked > max_start_lines: break # sanity check\",\n \"self._iterate_lines() return self._restarts @property def rs_state(self): \\\"\\\"\\\"Lazy evaluation of all restarts.\\\"\\\"\\\" if not\",\n \"None self._repl_set = None self._repl_set_members = None self._repl_set_version = None self._repl_set_protocol = None\",\n \"= le._datetime_nextpos return le def __iter__(self): \\\"\\\"\\\" Iterate over LogFile object. Return a\",\n \"over LogFile object. Return a LogEvent object for each line (generator). \\\"\\\"\\\" le\",\n \"logevent = self.next() return logevent except StopIteration: # reached end of file return\",\n \"match: shard_info = (match.group('shardName'), match.group('replSetMembers')) self._shards.append(shard_info) elif self.binary == \\\"mongod\\\": logevent = LogEvent(line)\",\n \"= match.group('errmsg') else: errmsg = \\\"Unknown\\\" chunk_migration = (time, chunk_range, moved_to, namespace, steps,\",\n \"self.filehandle.seek(-min(self._filesize, 30000), 2) for line in reversed(self.filehandle.readlines()): logevent = LogEvent(line) if logevent.datetime: self._end\",\n \"= 0 for ln, line in enumerate(self.filehandle): if isinstance(line, bytes): line = line.decode(\\\"utf-8\\\",\",\n \"if version: version = version.group(1) return version else: return False def _calculate_bounds(self): \\\"\\\"\\\"Calculate\",\n \"get end datetime (lines are at most 10k, # go back 30k at\",\n \"= False # reset logfile self.filehandle.seek(0) self._bounds_calculated = True return True def _find_curr_line(self,\",\n \"from shard name when SERVER-45770 TICKET is added moved_from = \\\"Unknown\\\" note =\",\n \"does not appear to be a supported \\\" \\\"MongoDB log file format\\\" %\",\n \"numSplits = 0 success = True error = None self._chunk_splits.append((time, split_range, namespace, numSplits,\",\n \"pos = 2 else: pos = 6 rs_state = ' '.join(tokens[pos:]) state =\",\n \"if match: errmsg = match.group('errmsg') else: errmsg = \\\"Unknown\\\" chunk_migration = (time, chunk_range,\",\n \"split_range, namespace, numSplits, success, time_taken, error)) elif \\\"splitVector\\\" in line: logevent = LogEvent(line)\",\n \"__iter__(self): \\\"\\\"\\\" Iterate over LogFile object. Return a LogEvent object for each line\",\n \"datetime format.\\\"\\\"\\\" if not self._datetime_format: self._calculate_bounds() return self._datetime_format @property def has_level(self): \\\"\\\"\\\"Lazy evaluation\",\n \"datetime self.filehandle.seek(0) le = self.next() if le.datetime and le.datetime >= start_dt: self.filehandle.seek(0) return\",\n \"= match.group('replSet') self._repl_set_version = match.group('replSetVersion') match = re.search(', protocolVersion: (?P<replSetProtocol>\\\\d+), ', line) if\",\n \"self.prev_pos is not None and self.prev_pos == curr_pos: # Number of characters to\",\n \"self._repl_set_protocol = None self._storage_engine = None self._datetime_format = None self._year_rollover = None self._shards\",\n \"None self._repl_set_members = None self._repl_set_version = None self._repl_set_protocol = None self._storage_engine = None\",\n \"(if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._repl_set_members @property def repl_set_version(self): \\\"\\\"\\\"Return the\",\n \"reached end of file return None def _find_sharding_info(self): \\\"\\\"\\\" Iterate over file and\",\n \"of lines. Returns None for stdin input currently. \\\"\\\"\\\" if self.from_stdin: return None\",\n \"return False # we should be able to find a valid log line\",\n \"stdin input currently. \\\"\\\"\\\" if self.from_stdin: return None if not self._filesize: self._calculate_bounds() return\",\n \"= (['PRIMARY', 'SECONDARY', 'DOWN', 'STARTUP', 'STARTUP2', 'RECOVERING', 'ROLLBACK', 'ARBITER', 'UNKNOWN']) def __len__(self): \\\"\\\"\\\"Return\",\n \"@property def shards(self): \\\"\\\"\\\"Lazily return the shards (if available)\\\"\\\"\\\" if not self._shards: self._find_sharding_info()\",\n \"abs(step_size) > 100: step_size = ceil(step_size / 2.) self.filehandle.seek(step_size, 1) le = self._find_curr_line()\",\n \"= LogEvent(line) match = re.search('splitVector: \\\"(?P<namespace>\\\\S+)\\\".*,' ' (?P<range>min:.*), max.*op_msg (?P<time_taken>\\\\d+)', line) if match:\",\n \"contains the \\\"engine\\\" field So now we have to look for the \\\"[initandlisten]\",\n \"evaluation of the binary name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._hostname @property def\",\n \"wiredtiger_open config:\\\" in line: self._storage_engine = 'wiredTiger' if \\\"command admin.$cmd command: { replSetInitiate:\\\"\",\n \"else: host = os.path.basename(self.name) host += ' (self)' if tokens[-1] in self.states: rs_state\",\n \"300 self.filehandle.seek(-error_context, 1) buff = self.filehandle.read(curr_pos) hr = \\\"-\\\" * 60 print(\\\"Fatal log\",\n \"# get start datetime for line in self.filehandle: logevent = LogEvent(line) lines_checked +=\",\n \"if newline_pos == -1: self.filehandle.seek(0) return self.next() self.filehandle.seek(newline_pos - jump_back + 1, 1)\",\n \"self._repl_set = match.group('replSet') self._repl_set_members = match.group('replSetMembers') # Replica set config logging in MongoDB\",\n \"stdin input currently. \\\"\\\"\\\" if not self._end: self._calculate_bounds() return self._end @property def timezone(self):\",\n \"(?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set = match.group('replSet') self._repl_set_members = match.group('replSetMembers') # Replica\",\n \"rs_state(self): \\\"\\\"\\\"Lazy evaluation of all restarts.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._rs_state @property\",\n \"try: yield le except StopIteration: return states = (['PRIMARY', 'SECONDARY', 'DOWN', 'STARTUP', 'STARTUP2',\",\n \"\\\"\\\"\\\"Return the number of lines in a log file.\\\"\\\"\\\" return self.num_lines def _iterate_lines(self):\",\n \"(?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set_members = match.group('replSetMembers') # if (\\\"is now in\",\n \"pos = 4 else: pos = 5 host = tokens[pos] rs_state = tokens[-1]\",\n \"\\\"\\\"\\\"Calculate beginning and end of logfile.\\\"\\\"\\\" if self._bounds_calculated: # Assume no need to\",\n \"= None time_taken = 0 error = None self._chunk_splits.append((time, split_range, namespace, numSplits, success,\",\n \"(?P<range>min:.*), max.*op_msg (?P<time_taken>\\\\d+)', line) if match: time = logevent.datetime split_range = match.group(\\\"range\\\") namespace\",\n \"if not self.end and self.from_stdin: if le and le.datetime: self._end = le.datetime #\",\n \"break # if there was a roll-over, subtract 1 year from start time\",\n \"!= self._csrs[0]: self._shards.append(( match.group('replSet'), match.group('replSetMembers') )) elif not self._csrs: self._csrs = ( match.group('replSet'),\",\n \"self._datetime_nextpos, self.year_rollover) if not ret: # logevent indicates timestamp format has changed, #\",\n \"= 0 success = True error = None self._chunk_splits.append((time, split_range, namespace, numSplits, success,\",\n \"self._num_lines = ln + 1 # reset logfile self.filehandle.seek(0) def _check_for_restart(self, logevent): if\",\n \"= 'mongod' elif logevent.thread == 'mongosMain' and ('MongoS' in logevent.line_str or 'mongos' in\",\n \"currently. \\\"\\\"\\\" if self.from_stdin: return None if not self._filesize: self._calculate_bounds() return self._filesize @property\",\n \"logevent = LogEvent(line) lines_checked += 1 if logevent.datetime: self._start = logevent.datetime self._timezone =\",\n \"\\\"configsvr: true\\\" in line: match = re.search(' _id: \\\"(?P<replSet>\\\\S+)\\\".*' 'members: (?P<replSetMembers>[^]]+ ])', line)\",\n \"to find moved from shard name when SERVER-45770 TICKET is added moved_from =\",\n \"# end of log file, get end date if not self.end and self.from_stdin:\",\n \"LogEvent(line) match = re.search('for (?P<namespace>\\\\S+).*' 'numSplits: (?P<numSplits>\\\\d+)', line) if match: time = logevent.datetime\",\n \"'details: { (?P<range>.*\\\\}).*' 'to: \\\"(?P<movedTo>\\\\S+)\\\".*note: \\\"(?P<note>\\\\S+)\\\"', line) if match: time = logevent.datetime chunk_range\",\n \"by :: (?P<error>\\\\S+): ', line) if match: time = logevent.datetime split_range = match.group(\\\"range\\\")\",\n \"match = re.search(\\\"for (?P<csrsName>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: csrs_info = (match.group('csrsName'), match.group('replSetMembers')) self._csrs\",\n \"= match.group('replSetMembers') # Replica set config logging in MongoDB 3.0+ new_config = (\\\"New\",\n \"is already smaller than first datetime self.filehandle.seek(0) le = self.next() if le.datetime and\",\n \"LogEvent.log_levels and line[31:39].strip() in LogEvent.log_components): self._has_level = True # find version string (fast\",\n \"self._find_sharding_info() return self._chunks_moved_from @property def chunk_splits(self): \\\"\\\"\\\"Lazily return the chunks split in this\",\n \"None self._datetime_nextpos = None elif le.datetime: # gather new hint info from another\",\n \"per PEP 479 return # get start date for stdin input if not\",\n \"\\\"is now in state\\\" in line: tokens = line.split() # 2.6 if tokens[1].endswith(']'):\",\n \"logevent.datetime.tzinfo self._datetime_format = logevent.datetime_format self._datetime_nextpos = logevent._datetime_nextpos break if lines_checked > max_start_lines: break\",\n \"LogEvent(line) if \\\"New replica set config in use\\\" in line: if \\\"configsvr: true\\\"\",\n \"\\\"(?P<namespace>\\\\S+)\\\".*' 'details: { (?P<range>.*\\\\}).*.*note: \\\"(?P<note>\\\\S+)\\\"', line) if match: time = logevent.datetime chunk_range =\",\n \"of the binary name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._hostname @property def port(self):\",\n \"= line.decode('utf-8', 'replace') if line == '': raise StopIteration line = line.rstrip('\\\\n') le\",\n \"= re.search('errmsg: \\\"(?P<errmsg>.*)\\\"', line) if match: errmsg = match.group('errmsg') chunk_migration = (time, chunk_range,\",\n \"0 for ln, line in enumerate(self.filehandle): if isinstance(line, bytes): line = line.decode(\\\"utf-8\\\", \\\"replace\\\")\",\n \"chunk_migration = (time, chunk_range, moved_from, namespace, steps, note, errmsg) self._chunks_moved_to.append(chunk_migration) if \\\"Finding the\",\n \"all restarts.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._rs_state @property def binary(self): \\\"\\\"\\\"Lazy evaluation\",\n \"\\\"[initandlisten] options:\\\" no longer contains the \\\"engine\\\" field So now we have to\",\n \"logevent.datetime chunk_range = match.group('range') namespace = match.group('namespace') # TODO: alter this to find\",\n \":\\\" in line or \\\"starting:\\\" in line: # look for hostname, port match\",\n \"split_range, namespace, numSplits, success, time_taken, error)) elif \\\"Unable to auto-split chunk\\\" in line:\",\n \"\\\"command admin.$cmd command: { replSetInitiate:\\\" in line: match = re.search('{ _id: \\\"(?P<replSet>\\\\S+)\\\", '\",\n \"if available.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._storage_engine @property def shards(self): \\\"\\\"\\\"Lazily return\",\n \"CSRS (if available)\\\"\\\"\\\" if not self._csrs: self._find_sharding_info() return self._csrs @property def chunks_moved_to(self): \\\"\\\"\\\"Lazily\",\n \"in line: logevent = LogEvent(line) match = re.search('ns: \\\"(?P<namespace>\\\\S+)\\\".*' 'details: { (?P<range>.*\\\\}).*.*note: \\\"(?P<note>\\\\S+)\\\"',\",\n \"None for stdin input currently. \\\"\\\"\\\" if self.from_stdin: return None if not self._filesize:\",\n \"# use readline here because next() iterator uses internal readahead # buffer so\",\n \"None self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \\\"Unable to auto-split chunk\\\"\",\n \"return # get start date for stdin input if not self.start and self.from_stdin:\",\n \"line.rstrip('\\\\n') le = LogEvent(line) # hint format and nextpos from previous line if\",\n \"= logevent.datetime.tzinfo self._datetime_format = logevent.datetime_format self._datetime_nextpos = logevent._datetime_nextpos break if lines_checked > max_start_lines:\",\n \"\\\"engine\\\" field if WiredTiger was the storage engine. There were only two engines,\",\n \"if not self._filesize: self._calculate_bounds() return self._filesize @property def datetime_format(self): \\\"\\\"\\\"Lazy evaluation of the\",\n \"the chunks split in this shard (if available)\\\"\\\"\\\" if not self._chunk_splits: self._find_sharding_info() return\",\n \"will miss the first line that would otherwise match (as it consumes the\",\n \"if not ret: # logevent indicates timestamp format has changed, # invalidate hint\",\n \"\\\\[(?P<range>.*)\\\\)', prev_line) if match: time = logevent.datetime split_range = match.group(\\\"range\\\") namespace = match.group(\\\"namespace\\\")\",\n \"match.group('replSet') match = re.search('engine: \\\"(?P<engine>\\\\S+)\\\"', line) if match: self._storage_engine = match.group('engine') else: self._storage_engine\",\n \"\\\"replace\\\") if (self._has_level is None and line[28:31].strip() in LogEvent.log_levels and line[31:39].strip() in LogEvent.log_components):\",\n \"restarts.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._rs_state @property def binary(self): \\\"\\\"\\\"Lazy evaluation of\",\n \"hint format and nextpos from previous line if self._datetime_format and self._datetime_nextpos is not\",\n \"errmsg = \\\"Unknown\\\" chunk_migration = (time, chunk_range, moved_to, namespace, steps, note, errmsg) self._chunks_moved_from.append(chunk_migration)\",\n \"note == \\\"success\\\": errmsg = None steps = re.findall('(?P<steps>step \\\\d of \\\\d): (?P<stepTimes>\\\\d+)',\",\n \"'STARTUP2', 'RECOVERING', 'ROLLBACK', 'ARBITER', 'UNKNOWN']) def __len__(self): \\\"\\\"\\\"Return the number of lines in\",\n \"Returns None for stdin input currently. \\\"\\\"\\\" if not self._start: self._calculate_bounds() return self._start\",\n \"', line) if match: self._repl_set = match.group('replSet') self._repl_set_version = match.group('replSetVersion') match = re.search(',\",\n \"line: if \\\"configsvr: true\\\" in line: match = re.search(' _id: \\\"(?P<replSet>\\\\S+)\\\".*' 'members: (?P<replSetMembers>[^]]+\",\n \"of the binary name.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._binary @property def hostname(self):\",\n \"None self._chunk_splits = None # Track previous file position for loop detection in\",\n \"match = re.search('replSet: \\\"(?P<replSet>\\\\S+)\\\"', line) if match: self._repl_set = match.group('replSet') match = re.search('engine:\",\n \"match = re.search(\\\"for (?P<replSet>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: if self._csrs and match.group('replSet') !=\",\n \"is being used \\\"\\\"\\\" if \\\"[initandlisten] wiredtiger_open config:\\\" in line: self._storage_engine = 'wiredTiger'\",\n \"self.start and self.from_stdin: if le and le.datetime: self._start = le.datetime try: yield le\",\n \"3.2 the \\\"[initandlisten] options:\\\" no longer contains the \\\"engine\\\" field So now we\",\n \"= self.filesize step_size = max_mark # check if start_dt is already smaller than\",\n \"self._chunk_splits = None # Track previous file position for loop detection in _find_curr_line()\",\n \"shard (if available)\\\"\\\"\\\" if not self._chunks_moved_from: self._find_sharding_info() return self._chunks_moved_from @property def chunk_splits(self): \\\"\\\"\\\"Lazily\",\n \"= le.datetime_format self._datetime_nextpos = le._datetime_nextpos return le def __iter__(self): \\\"\\\"\\\" Iterate over LogFile\",\n \"(self._start is None): raise SystemExit(\\\"Error: <%s> does not appear to be a supported\",\n \"= None if match: errmsg = match.group('errmsg') else: errmsg = \\\"Unknown\\\" chunk_migration =\",\n \"match.group('replSetProtocol') match = re.search('members: (?P<replSetMembers>[^]]+ ])', line) if match: self._repl_set_members = match.group('replSetMembers') #\",\n \"attempting to find end date if (self._start is None): raise SystemExit(\\\"Error: <%s> does\",\n \"- jump_back + 1, 1) # roll forward until we found a line\",\n \"else: return False def _calculate_bounds(self): \\\"\\\"\\\"Calculate beginning and end of logfile.\\\"\\\"\\\" if self._bounds_calculated:\",\n \"the datetime format.\\\"\\\"\\\" if not self._datetime_format: self._calculate_bounds() return self._datetime_format @property def has_level(self): \\\"\\\"\\\"Lazy\",\n \"= re.findall('(?P<steps>step \\\\d of \\\\d): (?P<stepTimes>\\\\d+)', line) else: match = re.search(':: caused by\",\n \"3.0, but would now tell us definitively that wiredTiger is being used \\\"\\\"\\\"\",\n \"versions = [] for v, _ in self.restarts: if len(versions) == 0 or\",\n \"versions @property def repl_set(self): \\\"\\\"\\\"Return the replSet (if available).\\\"\\\"\\\" if not self._num_lines: self._iterate_lines()\",\n \"= line.split() if self._hostname: host = self._hostname + ':' + self._port else: host\",\n \"success, time_taken, error)) elif \\\"Unable to auto-split chunk\\\" in line: logevent = LogEvent(line)\",\n \"new_config = (\\\"New replica set config in use: \\\") if new_config in line:\",\n \"False time_taken = 0 error = \\\"Jumbo\\\" self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken,\",\n \"a supported \\\" \\\"MongoDB log file format\\\" % self.filehandle.name) # get end datetime\",\n \"For 3.2 the \\\"[initandlisten] options:\\\" no longer contains the \\\"engine\\\" field So now\",\n \"input currently. \\\"\\\"\\\" if self.from_stdin: return None if not self._num_lines: self._iterate_lines() return self._num_lines\",\n \"[] self._chunks_moved_to = [] self._chunk_splits = [] prev_line = \\\"\\\" for line in\",\n \"wrapper class. Handles open file streams or stdin.\\\"\\\"\\\" def __init__(self, filehandle): \\\"\\\"\\\"Provide logfile\",\n \"match.group(\\\"range\\\") namespace = match.group(\\\"namespace\\\") time_taken = match.group(\\\"time_taken\\\") numSplits = 0 success = True\",\n \"in use\\\" in line: if \\\"configsvr: true\\\" in line: match = re.search(' _id:\",\n \"evaluation of all restarts.\\\"\\\"\\\" if not self._num_lines: self._iterate_lines() return self._restarts @property def rs_state(self):\",\n \"re.search('{ _id: \\\"(?P<replSet>\\\\S+)\\\", ' 'version: (?P<replSetVersion>\\\\d+), ', line) if match: self._repl_set = match.group('replSet')\",\n \"future iterations start from the beginning if not self.from_stdin: self.filehandle.seek(0) # return (instead\",\n \"most) and find last newline char jump_back = min(self.filehandle.tell(), 15000) self.filehandle.seek(-jump_back, 1) buff\",\n \"= buff.rfind('\\\\n') if prev: newline_pos = buff[:newline_pos].rfind('\\\\n') # move back to last newline\",\n \"filehandle.name self.from_stdin = filehandle.name == \\\"<stdin>\\\" self._bounds_calculated = False self._start = None self._end\",\n \"match.group('replSet'), match.group('replSetMembers') ) if \\\"moveChunk.from\\\" in line: logevent = LogEvent(line) match = re.search('ns:\",\n \"\\\"starting :\\\" in line or \\\"starting:\\\" in line: # look for hostname, port\",\n \"\\\"\\\"\\\" self._shards = [] self._chunks_moved_from = [] self._chunks_moved_to = [] self._chunk_splits = []\",\n \"loop detection in _find_curr_line() self.prev_pos = None self._has_level = None # make sure\",\n \"logevent.line_str): self._binary = 'mongos' else: return False version = re.search(r'(\\\\d\\\\.\\\\d\\\\.\\\\d+)', logevent.line_str) if version:\",\n \"self._chunk_splits.append((time, split_range, namespace, numSplits, success, time_taken, error)) elif \\\"splitVector\\\" in line: logevent =\",\n \"2 else: pos = 6 rs_state = ' '.join(tokens[pos:]) state = (host, rs_state,\",\n \"find any sharding related information \\\"\\\"\\\" self._shards = [] self._chunks_moved_from = [] self._chunks_moved_to\",\n \"0 # get start datetime for line in self.filehandle: logevent = LogEvent(line) lines_checked\",\n \"logevent.line_str): self._binary = 'mongod' elif logevent.thread == 'mongosMain' and ('MongoS' in logevent.line_str or\",\n \"csrs_info else: match = re.search(\\\"for (?P<shardName>\\\\w+)/\\\" \\\"(?P<replSetMembers>\\\\S+)\\\", line) if match: shard_info = (match.group('shardName'),\",\n \"os.path.basename(self.name) host += ' (self)' if tokens[-1] in self.states: rs_state = tokens[-1] else:\",\n \"namespace, numSplits, success, time_taken, error)) elif \\\"splitVector\\\" in line: logevent = LogEvent(line) match\",\n \"@property def csrs(self): \\\"\\\"\\\"Lazily return the CSRS (if available)\\\"\\\"\\\" if not self._csrs: self._find_sharding_info()\"\n]","isConversational":false}}},{"rowIdx":1295,"cells":{"ngram":{"kind":"list like","value":["= pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #scene.addItem(rect) #rect.setPos(20,20) #rect.translate(50, 50) #rect.rotate(30) #rect.scale(0.5, 0.5) #rect1","#rect.scale(0.5, 0.5) #rect1 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #rect1.setParentItem(rect) #rect1.setFlag(rect1.ItemIgnoresTransformations) #rect1.setPos(20, 20) #rect1.scale(2,2)","pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #scene.addItem(rect) #rect.setPos(20,20) #rect.translate(50, 50) #rect.rotate(30) #rect.scale(0.5, 0.5) #rect1 =","#p1.plot([1,3,2,3,1,6,9,8,4,2,3,5,3], pen={'color':'k'}) #p1.setXRange(0,5) #p2.plot([1,5,2,3,4,6,1,2,4,2,3,5,3], pen={'color':'k', 'cosmetic':False, 'width': 0.3}) #app.processEvents() #app.processEvents() #ex = pg.exporters.SVGExporter.SVGExporter(w.scene())","w.addPlot() #p2 = w.addPlot() #p1.plot([1,3,2,3,1,6,9,8,4,2,3,5,3], pen={'color':'k'}) #p1.setXRange(0,5) #p2.plot([1,5,2,3,4,6,1,2,4,2,3,5,3], pen={'color':'k', 'cosmetic':False, 'width': 0.3}) #app.processEvents()","#p2.plot([1,5,2,3,4,6,1,2,4,2,3,5,3], pen={'color':'k', 'cosmetic':False, 'width': 0.3}) #app.processEvents() #app.processEvents() #ex = pg.exporters.SVGExporter.SVGExporter(w.scene()) #ex.export(fileName='test.svg') def test_simple(self):","test_plotscene(self): #pg.setConfigOption('foreground', (0,0,0)) #w = pg.GraphicsWindow() #w.show() #p1 = w.addPlot() #p2 = w.addPlot()","grp2.scale(100,100) rect3 = pg.QtGui.QGraphicsRectItem(0,0,2,2) rect3.setPen(pg.mkPen(width=1, cosmetic=False)) grp2.addItem(rect3) ex = pg.exporters.SVGExporter.SVGExporter(scene) ex.export(fileName='test.svg') if __name__","#scene.addItem(rect) #rect.setPos(20,20) #rect.translate(50, 50) #rect.rotate(30) #rect.scale(0.5, 0.5) #rect1 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100)","100, 25) #rect2.setFlag(rect2.ItemClipsChildrenToShape) #rect2.setParentItem(grp) #rect2.setPos(0,25) #rect2.rotate(30) #el = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 50) #el.translate(10,-5)","pyqtgraph as pg app = pg.mkQApp() class SVGTest(test.TestCase): #def test_plotscene(self): #pg.setConfigOption('foreground', (0,0,0)) #w","\"\"\" SVG export test \"\"\" import test import pyqtgraph as pg app =","#rect2.setPos(0,25) #rect2.rotate(30) #el = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 50) #el.translate(10,-5) #el.scale(0.5,2) #el.setParentItem(rect2) grp2 =","pg.QtGui.QGraphicsRectItem(0, 0, 100, 25) #rect2.setFlag(rect2.ItemClipsChildrenToShape) #rect2.setParentItem(grp) #rect2.setPos(0,25) #rect2.rotate(30) #el = pg.QtGui.QGraphicsEllipseItem(0, 0, 100,","test \"\"\" import test import pyqtgraph as pg app = pg.mkQApp() class SVGTest(test.TestCase):","#rect2.rotate(30) #el = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 50) #el.translate(10,-5) #el.scale(0.5,2) #el.setParentItem(rect2) grp2 = pg.ItemGroup()","0.5) #rect1 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #rect1.setParentItem(rect) #rect1.setFlag(rect1.ItemIgnoresTransformations) #rect1.setPos(20, 20) #rect1.scale(2,2) #el1","#rect2 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 25) #rect2.setFlag(rect2.ItemClipsChildrenToShape) #rect2.setParentItem(grp) #rect2.setPos(0,25) #rect2.rotate(30) #el = pg.QtGui.QGraphicsEllipseItem(0,","= pg.QtGui.QGraphicsRectItem(0, 0, 100, 25) #rect2.setFlag(rect2.ItemClipsChildrenToShape) #rect2.setParentItem(grp) #rect2.setPos(0,25) #rect2.rotate(30) #el = pg.QtGui.QGraphicsEllipseItem(0, 0,","#rect1 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #rect1.setParentItem(rect) #rect1.setFlag(rect1.ItemIgnoresTransformations) #rect1.setPos(20, 20) #rect1.scale(2,2) #el1 =","def test_simple(self): scene = pg.QtGui.QGraphicsScene() #rect = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #scene.addItem(rect) #rect.setPos(20,20)","#el1 = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 100) #el1.setParentItem(rect1) ##grp = pg.ItemGroup() #grp.setParentItem(rect) #grp.translate(200,0) ##grp.rotate(30)","pg.exporters.SVGExporter.SVGExporter(w.scene()) #ex.export(fileName='test.svg') def test_simple(self): scene = pg.QtGui.QGraphicsScene() #rect = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100)","25) #rect2.setFlag(rect2.ItemClipsChildrenToShape) #rect2.setParentItem(grp) #rect2.setPos(0,25) #rect2.rotate(30) #el = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 50) #el.translate(10,-5) #el.scale(0.5,2)","#ex = pg.exporters.SVGExporter.SVGExporter(w.scene()) #ex.export(fileName='test.svg') def test_simple(self): scene = pg.QtGui.QGraphicsScene() #rect = pg.QtGui.QGraphicsRectItem(0, 0,","#rect.rotate(30) #rect.scale(0.5, 0.5) #rect1 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #rect1.setParentItem(rect) #rect1.setFlag(rect1.ItemIgnoresTransformations) #rect1.setPos(20, 20)","grp2 = pg.ItemGroup() scene.addItem(grp2) grp2.scale(100,100) rect3 = pg.QtGui.QGraphicsRectItem(0,0,2,2) rect3.setPen(pg.mkPen(width=1, cosmetic=False)) grp2.addItem(rect3) ex =","50) #rect.rotate(30) #rect.scale(0.5, 0.5) #rect1 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #rect1.setParentItem(rect) #rect1.setFlag(rect1.ItemIgnoresTransformations) #rect1.setPos(20,","#pg.setConfigOption('foreground', (0,0,0)) #w = pg.GraphicsWindow() #w.show() #p1 = w.addPlot() #p2 = w.addPlot() #p1.plot([1,3,2,3,1,6,9,8,4,2,3,5,3],","100, 100) #el1.setParentItem(rect1) ##grp = pg.ItemGroup() #grp.setParentItem(rect) #grp.translate(200,0) ##grp.rotate(30) #rect2 = pg.QtGui.QGraphicsRectItem(0, 0,","import pyqtgraph as pg app = pg.mkQApp() class SVGTest(test.TestCase): #def test_plotscene(self): #pg.setConfigOption('foreground', (0,0,0))","pg app = pg.mkQApp() class SVGTest(test.TestCase): #def test_plotscene(self): #pg.setConfigOption('foreground', (0,0,0)) #w = pg.GraphicsWindow()","app = pg.mkQApp() class SVGTest(test.TestCase): #def test_plotscene(self): #pg.setConfigOption('foreground', (0,0,0)) #w = pg.GraphicsWindow() #w.show()","##grp.rotate(30) #rect2 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 25) #rect2.setFlag(rect2.ItemClipsChildrenToShape) #rect2.setParentItem(grp) #rect2.setPos(0,25) #rect2.rotate(30) #el =","#rect1.setParentItem(rect) #rect1.setFlag(rect1.ItemIgnoresTransformations) #rect1.setPos(20, 20) #rect1.scale(2,2) #el1 = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 100) #el1.setParentItem(rect1) ##grp","'cosmetic':False, 'width': 0.3}) #app.processEvents() #app.processEvents() #ex = pg.exporters.SVGExporter.SVGExporter(w.scene()) #ex.export(fileName='test.svg') def test_simple(self): scene =","#el.setParentItem(rect2) grp2 = pg.ItemGroup() scene.addItem(grp2) grp2.scale(100,100) rect3 = pg.QtGui.QGraphicsRectItem(0,0,2,2) rect3.setPen(pg.mkPen(width=1, cosmetic=False)) grp2.addItem(rect3) ex","= pg.mkQApp() class SVGTest(test.TestCase): #def test_plotscene(self): #pg.setConfigOption('foreground', (0,0,0)) #w = pg.GraphicsWindow() #w.show() #p1","pg.ItemGroup() #grp.setParentItem(rect) #grp.translate(200,0) ##grp.rotate(30) #rect2 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 25) #rect2.setFlag(rect2.ItemClipsChildrenToShape) #rect2.setParentItem(grp) #rect2.setPos(0,25)","0, 100, 50) #el.translate(10,-5) #el.scale(0.5,2) #el.setParentItem(rect2) grp2 = pg.ItemGroup() scene.addItem(grp2) grp2.scale(100,100) rect3 =","= pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 100) #el1.setParentItem(rect1) ##grp = pg.ItemGroup() #grp.setParentItem(rect) #grp.translate(200,0) ##grp.rotate(30) #rect2","scene = pg.QtGui.QGraphicsScene() #rect = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #scene.addItem(rect) #rect.setPos(20,20) #rect.translate(50, 50)","= w.addPlot() #p2 = w.addPlot() #p1.plot([1,3,2,3,1,6,9,8,4,2,3,5,3], pen={'color':'k'}) #p1.setXRange(0,5) #p2.plot([1,5,2,3,4,6,1,2,4,2,3,5,3], pen={'color':'k', 'cosmetic':False, 'width': 0.3})","#rect2.setFlag(rect2.ItemClipsChildrenToShape) #rect2.setParentItem(grp) #rect2.setPos(0,25) #rect2.rotate(30) #el = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 50) #el.translate(10,-5) #el.scale(0.5,2) #el.setParentItem(rect2)","= pg.GraphicsWindow() #w.show() #p1 = w.addPlot() #p2 = w.addPlot() #p1.plot([1,3,2,3,1,6,9,8,4,2,3,5,3], pen={'color':'k'}) #p1.setXRange(0,5) #p2.plot([1,5,2,3,4,6,1,2,4,2,3,5,3],","= w.addPlot() #p1.plot([1,3,2,3,1,6,9,8,4,2,3,5,3], pen={'color':'k'}) #p1.setXRange(0,5) #p2.plot([1,5,2,3,4,6,1,2,4,2,3,5,3], pen={'color':'k', 'cosmetic':False, 'width': 0.3}) #app.processEvents() #app.processEvents() #ex","= pg.ItemGroup() #grp.setParentItem(rect) #grp.translate(200,0) ##grp.rotate(30) #rect2 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 25) #rect2.setFlag(rect2.ItemClipsChildrenToShape) #rect2.setParentItem(grp)","pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 100) #el1.setParentItem(rect1) ##grp = pg.ItemGroup() #grp.setParentItem(rect) #grp.translate(200,0) ##grp.rotate(30) #rect2 =","= pg.ItemGroup() scene.addItem(grp2) grp2.scale(100,100) rect3 = pg.QtGui.QGraphicsRectItem(0,0,2,2) rect3.setPen(pg.mkPen(width=1, cosmetic=False)) grp2.addItem(rect3) ex = pg.exporters.SVGExporter.SVGExporter(scene)","#rect2.setParentItem(grp) #rect2.setPos(0,25) #rect2.rotate(30) #el = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 50) #el.translate(10,-5) #el.scale(0.5,2) #el.setParentItem(rect2) grp2","w.addPlot() #p1.plot([1,3,2,3,1,6,9,8,4,2,3,5,3], pen={'color':'k'}) #p1.setXRange(0,5) #p2.plot([1,5,2,3,4,6,1,2,4,2,3,5,3], pen={'color':'k', 'cosmetic':False, 'width': 0.3}) #app.processEvents() #app.processEvents() #ex =","= pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #rect1.setParentItem(rect) #rect1.setFlag(rect1.ItemIgnoresTransformations) #rect1.setPos(20, 20) #rect1.scale(2,2) #el1 = pg.QtGui.QGraphicsEllipseItem(0,","= pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 50) #el.translate(10,-5) #el.scale(0.5,2) #el.setParentItem(rect2) grp2 = pg.ItemGroup() scene.addItem(grp2) grp2.scale(100,100)","pg.ItemGroup() scene.addItem(grp2) grp2.scale(100,100) rect3 = pg.QtGui.QGraphicsRectItem(0,0,2,2) rect3.setPen(pg.mkPen(width=1, cosmetic=False)) grp2.addItem(rect3) ex = pg.exporters.SVGExporter.SVGExporter(scene) ex.export(fileName='test.svg')","#rect = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #scene.addItem(rect) #rect.setPos(20,20) #rect.translate(50, 50) #rect.rotate(30) #rect.scale(0.5, 0.5)","#app.processEvents() #ex = pg.exporters.SVGExporter.SVGExporter(w.scene()) #ex.export(fileName='test.svg') def test_simple(self): scene = pg.QtGui.QGraphicsScene() #rect = pg.QtGui.QGraphicsRectItem(0,","100) #rect1.setParentItem(rect) #rect1.setFlag(rect1.ItemIgnoresTransformations) #rect1.setPos(20, 20) #rect1.scale(2,2) #el1 = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 100) #el1.setParentItem(rect1)","#rect.translate(50, 50) #rect.rotate(30) #rect.scale(0.5, 0.5) #rect1 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #rect1.setParentItem(rect) #rect1.setFlag(rect1.ItemIgnoresTransformations)","#el = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 50) #el.translate(10,-5) #el.scale(0.5,2) #el.setParentItem(rect2) grp2 = pg.ItemGroup() scene.addItem(grp2)","100, 100) #rect1.setParentItem(rect) #rect1.setFlag(rect1.ItemIgnoresTransformations) #rect1.setPos(20, 20) #rect1.scale(2,2) #el1 = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 100)","pen={'color':'k', 'cosmetic':False, 'width': 0.3}) #app.processEvents() #app.processEvents() #ex = pg.exporters.SVGExporter.SVGExporter(w.scene()) #ex.export(fileName='test.svg') def test_simple(self): scene","#rect1.setFlag(rect1.ItemIgnoresTransformations) #rect1.setPos(20, 20) #rect1.scale(2,2) #el1 = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 100) #el1.setParentItem(rect1) ##grp =","#el.translate(10,-5) #el.scale(0.5,2) #el.setParentItem(rect2) grp2 = pg.ItemGroup() scene.addItem(grp2) grp2.scale(100,100) rect3 = pg.QtGui.QGraphicsRectItem(0,0,2,2) rect3.setPen(pg.mkPen(width=1, cosmetic=False))","100) #scene.addItem(rect) #rect.setPos(20,20) #rect.translate(50, 50) #rect.rotate(30) #rect.scale(0.5, 0.5) #rect1 = pg.QtGui.QGraphicsRectItem(0, 0, 100,","#ex.export(fileName='test.svg') def test_simple(self): scene = pg.QtGui.QGraphicsScene() #rect = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #scene.addItem(rect)","#app.processEvents() #app.processEvents() #ex = pg.exporters.SVGExporter.SVGExporter(w.scene()) #ex.export(fileName='test.svg') def test_simple(self): scene = pg.QtGui.QGraphicsScene() #rect =","as pg app = pg.mkQApp() class SVGTest(test.TestCase): #def test_plotscene(self): #pg.setConfigOption('foreground', (0,0,0)) #w =","SVGTest(test.TestCase): #def test_plotscene(self): #pg.setConfigOption('foreground', (0,0,0)) #w = pg.GraphicsWindow() #w.show() #p1 = w.addPlot() #p2","#p1 = w.addPlot() #p2 = w.addPlot() #p1.plot([1,3,2,3,1,6,9,8,4,2,3,5,3], pen={'color':'k'}) #p1.setXRange(0,5) #p2.plot([1,5,2,3,4,6,1,2,4,2,3,5,3], pen={'color':'k', 'cosmetic':False, 'width':","100, 100) #scene.addItem(rect) #rect.setPos(20,20) #rect.translate(50, 50) #rect.rotate(30) #rect.scale(0.5, 0.5) #rect1 = pg.QtGui.QGraphicsRectItem(0, 0,","100, 50) #el.translate(10,-5) #el.scale(0.5,2) #el.setParentItem(rect2) grp2 = pg.ItemGroup() scene.addItem(grp2) grp2.scale(100,100) rect3 = pg.QtGui.QGraphicsRectItem(0,0,2,2)","pg.GraphicsWindow() #w.show() #p1 = w.addPlot() #p2 = w.addPlot() #p1.plot([1,3,2,3,1,6,9,8,4,2,3,5,3], pen={'color':'k'}) #p1.setXRange(0,5) #p2.plot([1,5,2,3,4,6,1,2,4,2,3,5,3], pen={'color':'k',","pg.QtGui.QGraphicsScene() #rect = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #scene.addItem(rect) #rect.setPos(20,20) #rect.translate(50, 50) #rect.rotate(30) #rect.scale(0.5,","0, 100, 25) #rect2.setFlag(rect2.ItemClipsChildrenToShape) #rect2.setParentItem(grp) #rect2.setPos(0,25) #rect2.rotate(30) #el = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 50)","export test \"\"\" import test import pyqtgraph as pg app = pg.mkQApp() class","#rect1.scale(2,2) #el1 = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 100) #el1.setParentItem(rect1) ##grp = pg.ItemGroup() #grp.setParentItem(rect) #grp.translate(200,0)","#rect.setPos(20,20) #rect.translate(50, 50) #rect.rotate(30) #rect.scale(0.5, 0.5) #rect1 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #rect1.setParentItem(rect)","0.3}) #app.processEvents() #app.processEvents() #ex = pg.exporters.SVGExporter.SVGExporter(w.scene()) #ex.export(fileName='test.svg') def test_simple(self): scene = pg.QtGui.QGraphicsScene() #rect","20) #rect1.scale(2,2) #el1 = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 100) #el1.setParentItem(rect1) ##grp = pg.ItemGroup() #grp.setParentItem(rect)","0, 100, 100) #el1.setParentItem(rect1) ##grp = pg.ItemGroup() #grp.setParentItem(rect) #grp.translate(200,0) ##grp.rotate(30) #rect2 = pg.QtGui.QGraphicsRectItem(0,","#w = pg.GraphicsWindow() #w.show() #p1 = w.addPlot() #p2 = w.addPlot() #p1.plot([1,3,2,3,1,6,9,8,4,2,3,5,3], pen={'color':'k'}) #p1.setXRange(0,5)","test_simple(self): scene = pg.QtGui.QGraphicsScene() #rect = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #scene.addItem(rect) #rect.setPos(20,20) #rect.translate(50,","pg.QtGui.QGraphicsRectItem(0,0,2,2) rect3.setPen(pg.mkPen(width=1, cosmetic=False)) grp2.addItem(rect3) ex = pg.exporters.SVGExporter.SVGExporter(scene) ex.export(fileName='test.svg') if __name__ == '__main__': test.unittest.main()","##grp = pg.ItemGroup() #grp.setParentItem(rect) #grp.translate(200,0) ##grp.rotate(30) #rect2 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 25) #rect2.setFlag(rect2.ItemClipsChildrenToShape)","pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 50) #el.translate(10,-5) #el.scale(0.5,2) #el.setParentItem(rect2) grp2 = pg.ItemGroup() scene.addItem(grp2) grp2.scale(100,100) rect3","#p2 = w.addPlot() #p1.plot([1,3,2,3,1,6,9,8,4,2,3,5,3], pen={'color':'k'}) #p1.setXRange(0,5) #p2.plot([1,5,2,3,4,6,1,2,4,2,3,5,3], pen={'color':'k', 'cosmetic':False, 'width': 0.3}) #app.processEvents() #app.processEvents()","#w.show() #p1 = w.addPlot() #p2 = w.addPlot() #p1.plot([1,3,2,3,1,6,9,8,4,2,3,5,3], pen={'color':'k'}) #p1.setXRange(0,5) #p2.plot([1,5,2,3,4,6,1,2,4,2,3,5,3], pen={'color':'k', 'cosmetic':False,","0, 100, 100) #scene.addItem(rect) #rect.setPos(20,20) #rect.translate(50, 50) #rect.rotate(30) #rect.scale(0.5, 0.5) #rect1 = pg.QtGui.QGraphicsRectItem(0,","#grp.translate(200,0) ##grp.rotate(30) #rect2 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 25) #rect2.setFlag(rect2.ItemClipsChildrenToShape) #rect2.setParentItem(grp) #rect2.setPos(0,25) #rect2.rotate(30) #el","50) #el.translate(10,-5) #el.scale(0.5,2) #el.setParentItem(rect2) grp2 = pg.ItemGroup() scene.addItem(grp2) grp2.scale(100,100) rect3 = pg.QtGui.QGraphicsRectItem(0,0,2,2) rect3.setPen(pg.mkPen(width=1,","#def test_plotscene(self): #pg.setConfigOption('foreground', (0,0,0)) #w = pg.GraphicsWindow() #w.show() #p1 = w.addPlot() #p2 =","#grp.setParentItem(rect) #grp.translate(200,0) ##grp.rotate(30) #rect2 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 25) #rect2.setFlag(rect2.ItemClipsChildrenToShape) #rect2.setParentItem(grp) #rect2.setPos(0,25) #rect2.rotate(30)","= pg.exporters.SVGExporter.SVGExporter(w.scene()) #ex.export(fileName='test.svg') def test_simple(self): scene = pg.QtGui.QGraphicsScene() #rect = pg.QtGui.QGraphicsRectItem(0, 0, 100,","rect3 = pg.QtGui.QGraphicsRectItem(0,0,2,2) rect3.setPen(pg.mkPen(width=1, cosmetic=False)) grp2.addItem(rect3) ex = pg.exporters.SVGExporter.SVGExporter(scene) ex.export(fileName='test.svg') if __name__ ==","#p1.setXRange(0,5) #p2.plot([1,5,2,3,4,6,1,2,4,2,3,5,3], pen={'color':'k', 'cosmetic':False, 'width': 0.3}) #app.processEvents() #app.processEvents() #ex = pg.exporters.SVGExporter.SVGExporter(w.scene()) #ex.export(fileName='test.svg') def","100) #el1.setParentItem(rect1) ##grp = pg.ItemGroup() #grp.setParentItem(rect) #grp.translate(200,0) ##grp.rotate(30) #rect2 = pg.QtGui.QGraphicsRectItem(0, 0, 100,","pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #rect1.setParentItem(rect) #rect1.setFlag(rect1.ItemIgnoresTransformations) #rect1.setPos(20, 20) #rect1.scale(2,2) #el1 = pg.QtGui.QGraphicsEllipseItem(0, 0,","#el.scale(0.5,2) #el.setParentItem(rect2) grp2 = pg.ItemGroup() scene.addItem(grp2) grp2.scale(100,100) rect3 = pg.QtGui.QGraphicsRectItem(0,0,2,2) rect3.setPen(pg.mkPen(width=1, cosmetic=False)) grp2.addItem(rect3)","SVG export test \"\"\" import test import pyqtgraph as pg app = pg.mkQApp()","'width': 0.3}) #app.processEvents() #app.processEvents() #ex = pg.exporters.SVGExporter.SVGExporter(w.scene()) #ex.export(fileName='test.svg') def test_simple(self): scene = pg.QtGui.QGraphicsScene()","= pg.QtGui.QGraphicsScene() #rect = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #scene.addItem(rect) #rect.setPos(20,20) #rect.translate(50, 50) #rect.rotate(30)","= pg.QtGui.QGraphicsRectItem(0,0,2,2) rect3.setPen(pg.mkPen(width=1, cosmetic=False)) grp2.addItem(rect3) ex = pg.exporters.SVGExporter.SVGExporter(scene) ex.export(fileName='test.svg') if __name__ == '__main__':","\"\"\" import test import pyqtgraph as pg app = pg.mkQApp() class SVGTest(test.TestCase): #def","test import pyqtgraph as pg app = pg.mkQApp() class SVGTest(test.TestCase): #def test_plotscene(self): #pg.setConfigOption('foreground',","0, 100, 100) #rect1.setParentItem(rect) #rect1.setFlag(rect1.ItemIgnoresTransformations) #rect1.setPos(20, 20) #rect1.scale(2,2) #el1 = pg.QtGui.QGraphicsEllipseItem(0, 0, 100,","#rect1.setPos(20, 20) #rect1.scale(2,2) #el1 = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 100) #el1.setParentItem(rect1) ##grp = pg.ItemGroup()","#el1.setParentItem(rect1) ##grp = pg.ItemGroup() #grp.setParentItem(rect) #grp.translate(200,0) ##grp.rotate(30) #rect2 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 25)","scene.addItem(grp2) grp2.scale(100,100) rect3 = pg.QtGui.QGraphicsRectItem(0,0,2,2) rect3.setPen(pg.mkPen(width=1, cosmetic=False)) grp2.addItem(rect3) ex = pg.exporters.SVGExporter.SVGExporter(scene) ex.export(fileName='test.svg') if","import test import pyqtgraph as pg app = pg.mkQApp() class SVGTest(test.TestCase): #def test_plotscene(self):","pen={'color':'k'}) #p1.setXRange(0,5) #p2.plot([1,5,2,3,4,6,1,2,4,2,3,5,3], pen={'color':'k', 'cosmetic':False, 'width': 0.3}) #app.processEvents() #app.processEvents() #ex = pg.exporters.SVGExporter.SVGExporter(w.scene()) #ex.export(fileName='test.svg')","pg.mkQApp() class SVGTest(test.TestCase): #def test_plotscene(self): #pg.setConfigOption('foreground', (0,0,0)) #w = pg.GraphicsWindow() #w.show() #p1 =","class SVGTest(test.TestCase): #def test_plotscene(self): #pg.setConfigOption('foreground', (0,0,0)) #w = pg.GraphicsWindow() #w.show() #p1 = w.addPlot()","(0,0,0)) #w = pg.GraphicsWindow() #w.show() #p1 = w.addPlot() #p2 = w.addPlot() #p1.plot([1,3,2,3,1,6,9,8,4,2,3,5,3], pen={'color':'k'})"],"string":"[\n \"= pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #scene.addItem(rect) #rect.setPos(20,20) #rect.translate(50, 50) #rect.rotate(30) #rect.scale(0.5, 0.5) #rect1\",\n \"#rect.scale(0.5, 0.5) #rect1 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #rect1.setParentItem(rect) #rect1.setFlag(rect1.ItemIgnoresTransformations) #rect1.setPos(20, 20) #rect1.scale(2,2)\",\n \"pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #scene.addItem(rect) #rect.setPos(20,20) #rect.translate(50, 50) #rect.rotate(30) #rect.scale(0.5, 0.5) #rect1 =\",\n \"#p1.plot([1,3,2,3,1,6,9,8,4,2,3,5,3], pen={'color':'k'}) #p1.setXRange(0,5) #p2.plot([1,5,2,3,4,6,1,2,4,2,3,5,3], pen={'color':'k', 'cosmetic':False, 'width': 0.3}) #app.processEvents() #app.processEvents() #ex = pg.exporters.SVGExporter.SVGExporter(w.scene())\",\n \"w.addPlot() #p2 = w.addPlot() #p1.plot([1,3,2,3,1,6,9,8,4,2,3,5,3], pen={'color':'k'}) #p1.setXRange(0,5) #p2.plot([1,5,2,3,4,6,1,2,4,2,3,5,3], pen={'color':'k', 'cosmetic':False, 'width': 0.3}) #app.processEvents()\",\n \"#p2.plot([1,5,2,3,4,6,1,2,4,2,3,5,3], pen={'color':'k', 'cosmetic':False, 'width': 0.3}) #app.processEvents() #app.processEvents() #ex = pg.exporters.SVGExporter.SVGExporter(w.scene()) #ex.export(fileName='test.svg') def test_simple(self):\",\n \"test_plotscene(self): #pg.setConfigOption('foreground', (0,0,0)) #w = pg.GraphicsWindow() #w.show() #p1 = w.addPlot() #p2 = w.addPlot()\",\n \"grp2.scale(100,100) rect3 = pg.QtGui.QGraphicsRectItem(0,0,2,2) rect3.setPen(pg.mkPen(width=1, cosmetic=False)) grp2.addItem(rect3) ex = pg.exporters.SVGExporter.SVGExporter(scene) ex.export(fileName='test.svg') if __name__\",\n \"#scene.addItem(rect) #rect.setPos(20,20) #rect.translate(50, 50) #rect.rotate(30) #rect.scale(0.5, 0.5) #rect1 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100)\",\n \"100, 25) #rect2.setFlag(rect2.ItemClipsChildrenToShape) #rect2.setParentItem(grp) #rect2.setPos(0,25) #rect2.rotate(30) #el = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 50) #el.translate(10,-5)\",\n \"pyqtgraph as pg app = pg.mkQApp() class SVGTest(test.TestCase): #def test_plotscene(self): #pg.setConfigOption('foreground', (0,0,0)) #w\",\n \"\\\"\\\"\\\" SVG export test \\\"\\\"\\\" import test import pyqtgraph as pg app =\",\n \"#rect2.setPos(0,25) #rect2.rotate(30) #el = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 50) #el.translate(10,-5) #el.scale(0.5,2) #el.setParentItem(rect2) grp2 =\",\n \"pg.QtGui.QGraphicsRectItem(0, 0, 100, 25) #rect2.setFlag(rect2.ItemClipsChildrenToShape) #rect2.setParentItem(grp) #rect2.setPos(0,25) #rect2.rotate(30) #el = pg.QtGui.QGraphicsEllipseItem(0, 0, 100,\",\n \"test \\\"\\\"\\\" import test import pyqtgraph as pg app = pg.mkQApp() class SVGTest(test.TestCase):\",\n \"#rect2.rotate(30) #el = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 50) #el.translate(10,-5) #el.scale(0.5,2) #el.setParentItem(rect2) grp2 = pg.ItemGroup()\",\n \"0.5) #rect1 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #rect1.setParentItem(rect) #rect1.setFlag(rect1.ItemIgnoresTransformations) #rect1.setPos(20, 20) #rect1.scale(2,2) #el1\",\n \"#rect2 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 25) #rect2.setFlag(rect2.ItemClipsChildrenToShape) #rect2.setParentItem(grp) #rect2.setPos(0,25) #rect2.rotate(30) #el = pg.QtGui.QGraphicsEllipseItem(0,\",\n \"= pg.QtGui.QGraphicsRectItem(0, 0, 100, 25) #rect2.setFlag(rect2.ItemClipsChildrenToShape) #rect2.setParentItem(grp) #rect2.setPos(0,25) #rect2.rotate(30) #el = pg.QtGui.QGraphicsEllipseItem(0, 0,\",\n \"#rect1 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #rect1.setParentItem(rect) #rect1.setFlag(rect1.ItemIgnoresTransformations) #rect1.setPos(20, 20) #rect1.scale(2,2) #el1 =\",\n \"def test_simple(self): scene = pg.QtGui.QGraphicsScene() #rect = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #scene.addItem(rect) #rect.setPos(20,20)\",\n \"#el1 = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 100) #el1.setParentItem(rect1) ##grp = pg.ItemGroup() #grp.setParentItem(rect) #grp.translate(200,0) ##grp.rotate(30)\",\n \"pg.exporters.SVGExporter.SVGExporter(w.scene()) #ex.export(fileName='test.svg') def test_simple(self): scene = pg.QtGui.QGraphicsScene() #rect = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100)\",\n \"25) #rect2.setFlag(rect2.ItemClipsChildrenToShape) #rect2.setParentItem(grp) #rect2.setPos(0,25) #rect2.rotate(30) #el = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 50) #el.translate(10,-5) #el.scale(0.5,2)\",\n \"#ex = pg.exporters.SVGExporter.SVGExporter(w.scene()) #ex.export(fileName='test.svg') def test_simple(self): scene = pg.QtGui.QGraphicsScene() #rect = pg.QtGui.QGraphicsRectItem(0, 0,\",\n \"#rect.rotate(30) #rect.scale(0.5, 0.5) #rect1 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #rect1.setParentItem(rect) #rect1.setFlag(rect1.ItemIgnoresTransformations) #rect1.setPos(20, 20)\",\n \"grp2 = pg.ItemGroup() scene.addItem(grp2) grp2.scale(100,100) rect3 = pg.QtGui.QGraphicsRectItem(0,0,2,2) rect3.setPen(pg.mkPen(width=1, cosmetic=False)) grp2.addItem(rect3) ex =\",\n \"50) #rect.rotate(30) #rect.scale(0.5, 0.5) #rect1 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #rect1.setParentItem(rect) #rect1.setFlag(rect1.ItemIgnoresTransformations) #rect1.setPos(20,\",\n \"#pg.setConfigOption('foreground', (0,0,0)) #w = pg.GraphicsWindow() #w.show() #p1 = w.addPlot() #p2 = w.addPlot() #p1.plot([1,3,2,3,1,6,9,8,4,2,3,5,3],\",\n \"100, 100) #el1.setParentItem(rect1) ##grp = pg.ItemGroup() #grp.setParentItem(rect) #grp.translate(200,0) ##grp.rotate(30) #rect2 = pg.QtGui.QGraphicsRectItem(0, 0,\",\n \"import pyqtgraph as pg app = pg.mkQApp() class SVGTest(test.TestCase): #def test_plotscene(self): #pg.setConfigOption('foreground', (0,0,0))\",\n \"pg app = pg.mkQApp() class SVGTest(test.TestCase): #def test_plotscene(self): #pg.setConfigOption('foreground', (0,0,0)) #w = pg.GraphicsWindow()\",\n \"app = pg.mkQApp() class SVGTest(test.TestCase): #def test_plotscene(self): #pg.setConfigOption('foreground', (0,0,0)) #w = pg.GraphicsWindow() #w.show()\",\n \"##grp.rotate(30) #rect2 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 25) #rect2.setFlag(rect2.ItemClipsChildrenToShape) #rect2.setParentItem(grp) #rect2.setPos(0,25) #rect2.rotate(30) #el =\",\n \"#rect1.setParentItem(rect) #rect1.setFlag(rect1.ItemIgnoresTransformations) #rect1.setPos(20, 20) #rect1.scale(2,2) #el1 = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 100) #el1.setParentItem(rect1) ##grp\",\n \"'cosmetic':False, 'width': 0.3}) #app.processEvents() #app.processEvents() #ex = pg.exporters.SVGExporter.SVGExporter(w.scene()) #ex.export(fileName='test.svg') def test_simple(self): scene =\",\n \"#el.setParentItem(rect2) grp2 = pg.ItemGroup() scene.addItem(grp2) grp2.scale(100,100) rect3 = pg.QtGui.QGraphicsRectItem(0,0,2,2) rect3.setPen(pg.mkPen(width=1, cosmetic=False)) grp2.addItem(rect3) ex\",\n \"= pg.mkQApp() class SVGTest(test.TestCase): #def test_plotscene(self): #pg.setConfigOption('foreground', (0,0,0)) #w = pg.GraphicsWindow() #w.show() #p1\",\n \"pg.ItemGroup() #grp.setParentItem(rect) #grp.translate(200,0) ##grp.rotate(30) #rect2 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 25) #rect2.setFlag(rect2.ItemClipsChildrenToShape) #rect2.setParentItem(grp) #rect2.setPos(0,25)\",\n \"0, 100, 50) #el.translate(10,-5) #el.scale(0.5,2) #el.setParentItem(rect2) grp2 = pg.ItemGroup() scene.addItem(grp2) grp2.scale(100,100) rect3 =\",\n \"= pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 100) #el1.setParentItem(rect1) ##grp = pg.ItemGroup() #grp.setParentItem(rect) #grp.translate(200,0) ##grp.rotate(30) #rect2\",\n \"scene = pg.QtGui.QGraphicsScene() #rect = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #scene.addItem(rect) #rect.setPos(20,20) #rect.translate(50, 50)\",\n \"= w.addPlot() #p2 = w.addPlot() #p1.plot([1,3,2,3,1,6,9,8,4,2,3,5,3], pen={'color':'k'}) #p1.setXRange(0,5) #p2.plot([1,5,2,3,4,6,1,2,4,2,3,5,3], pen={'color':'k', 'cosmetic':False, 'width': 0.3})\",\n \"#rect2.setFlag(rect2.ItemClipsChildrenToShape) #rect2.setParentItem(grp) #rect2.setPos(0,25) #rect2.rotate(30) #el = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 50) #el.translate(10,-5) #el.scale(0.5,2) #el.setParentItem(rect2)\",\n \"= pg.GraphicsWindow() #w.show() #p1 = w.addPlot() #p2 = w.addPlot() #p1.plot([1,3,2,3,1,6,9,8,4,2,3,5,3], pen={'color':'k'}) #p1.setXRange(0,5) #p2.plot([1,5,2,3,4,6,1,2,4,2,3,5,3],\",\n \"= w.addPlot() #p1.plot([1,3,2,3,1,6,9,8,4,2,3,5,3], pen={'color':'k'}) #p1.setXRange(0,5) #p2.plot([1,5,2,3,4,6,1,2,4,2,3,5,3], pen={'color':'k', 'cosmetic':False, 'width': 0.3}) #app.processEvents() #app.processEvents() #ex\",\n \"= pg.ItemGroup() #grp.setParentItem(rect) #grp.translate(200,0) ##grp.rotate(30) #rect2 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 25) #rect2.setFlag(rect2.ItemClipsChildrenToShape) #rect2.setParentItem(grp)\",\n \"pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 100) #el1.setParentItem(rect1) ##grp = pg.ItemGroup() #grp.setParentItem(rect) #grp.translate(200,0) ##grp.rotate(30) #rect2 =\",\n \"= pg.ItemGroup() scene.addItem(grp2) grp2.scale(100,100) rect3 = pg.QtGui.QGraphicsRectItem(0,0,2,2) rect3.setPen(pg.mkPen(width=1, cosmetic=False)) grp2.addItem(rect3) ex = pg.exporters.SVGExporter.SVGExporter(scene)\",\n \"#rect2.setParentItem(grp) #rect2.setPos(0,25) #rect2.rotate(30) #el = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 50) #el.translate(10,-5) #el.scale(0.5,2) #el.setParentItem(rect2) grp2\",\n \"w.addPlot() #p1.plot([1,3,2,3,1,6,9,8,4,2,3,5,3], pen={'color':'k'}) #p1.setXRange(0,5) #p2.plot([1,5,2,3,4,6,1,2,4,2,3,5,3], pen={'color':'k', 'cosmetic':False, 'width': 0.3}) #app.processEvents() #app.processEvents() #ex =\",\n \"= pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #rect1.setParentItem(rect) #rect1.setFlag(rect1.ItemIgnoresTransformations) #rect1.setPos(20, 20) #rect1.scale(2,2) #el1 = pg.QtGui.QGraphicsEllipseItem(0,\",\n \"= pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 50) #el.translate(10,-5) #el.scale(0.5,2) #el.setParentItem(rect2) grp2 = pg.ItemGroup() scene.addItem(grp2) grp2.scale(100,100)\",\n \"pg.ItemGroup() scene.addItem(grp2) grp2.scale(100,100) rect3 = pg.QtGui.QGraphicsRectItem(0,0,2,2) rect3.setPen(pg.mkPen(width=1, cosmetic=False)) grp2.addItem(rect3) ex = pg.exporters.SVGExporter.SVGExporter(scene) ex.export(fileName='test.svg')\",\n \"#rect = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #scene.addItem(rect) #rect.setPos(20,20) #rect.translate(50, 50) #rect.rotate(30) #rect.scale(0.5, 0.5)\",\n \"#app.processEvents() #ex = pg.exporters.SVGExporter.SVGExporter(w.scene()) #ex.export(fileName='test.svg') def test_simple(self): scene = pg.QtGui.QGraphicsScene() #rect = pg.QtGui.QGraphicsRectItem(0,\",\n \"100) #rect1.setParentItem(rect) #rect1.setFlag(rect1.ItemIgnoresTransformations) #rect1.setPos(20, 20) #rect1.scale(2,2) #el1 = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 100) #el1.setParentItem(rect1)\",\n \"#rect.translate(50, 50) #rect.rotate(30) #rect.scale(0.5, 0.5) #rect1 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #rect1.setParentItem(rect) #rect1.setFlag(rect1.ItemIgnoresTransformations)\",\n \"#el = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 50) #el.translate(10,-5) #el.scale(0.5,2) #el.setParentItem(rect2) grp2 = pg.ItemGroup() scene.addItem(grp2)\",\n \"100, 100) #rect1.setParentItem(rect) #rect1.setFlag(rect1.ItemIgnoresTransformations) #rect1.setPos(20, 20) #rect1.scale(2,2) #el1 = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 100)\",\n \"pen={'color':'k', 'cosmetic':False, 'width': 0.3}) #app.processEvents() #app.processEvents() #ex = pg.exporters.SVGExporter.SVGExporter(w.scene()) #ex.export(fileName='test.svg') def test_simple(self): scene\",\n \"#rect1.setFlag(rect1.ItemIgnoresTransformations) #rect1.setPos(20, 20) #rect1.scale(2,2) #el1 = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 100) #el1.setParentItem(rect1) ##grp =\",\n \"#el.translate(10,-5) #el.scale(0.5,2) #el.setParentItem(rect2) grp2 = pg.ItemGroup() scene.addItem(grp2) grp2.scale(100,100) rect3 = pg.QtGui.QGraphicsRectItem(0,0,2,2) rect3.setPen(pg.mkPen(width=1, cosmetic=False))\",\n \"100) #scene.addItem(rect) #rect.setPos(20,20) #rect.translate(50, 50) #rect.rotate(30) #rect.scale(0.5, 0.5) #rect1 = pg.QtGui.QGraphicsRectItem(0, 0, 100,\",\n \"#ex.export(fileName='test.svg') def test_simple(self): scene = pg.QtGui.QGraphicsScene() #rect = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #scene.addItem(rect)\",\n \"#app.processEvents() #app.processEvents() #ex = pg.exporters.SVGExporter.SVGExporter(w.scene()) #ex.export(fileName='test.svg') def test_simple(self): scene = pg.QtGui.QGraphicsScene() #rect =\",\n \"as pg app = pg.mkQApp() class SVGTest(test.TestCase): #def test_plotscene(self): #pg.setConfigOption('foreground', (0,0,0)) #w =\",\n \"SVGTest(test.TestCase): #def test_plotscene(self): #pg.setConfigOption('foreground', (0,0,0)) #w = pg.GraphicsWindow() #w.show() #p1 = w.addPlot() #p2\",\n \"#p1 = w.addPlot() #p2 = w.addPlot() #p1.plot([1,3,2,3,1,6,9,8,4,2,3,5,3], pen={'color':'k'}) #p1.setXRange(0,5) #p2.plot([1,5,2,3,4,6,1,2,4,2,3,5,3], pen={'color':'k', 'cosmetic':False, 'width':\",\n \"100, 100) #scene.addItem(rect) #rect.setPos(20,20) #rect.translate(50, 50) #rect.rotate(30) #rect.scale(0.5, 0.5) #rect1 = pg.QtGui.QGraphicsRectItem(0, 0,\",\n \"100, 50) #el.translate(10,-5) #el.scale(0.5,2) #el.setParentItem(rect2) grp2 = pg.ItemGroup() scene.addItem(grp2) grp2.scale(100,100) rect3 = pg.QtGui.QGraphicsRectItem(0,0,2,2)\",\n \"pg.GraphicsWindow() #w.show() #p1 = w.addPlot() #p2 = w.addPlot() #p1.plot([1,3,2,3,1,6,9,8,4,2,3,5,3], pen={'color':'k'}) #p1.setXRange(0,5) #p2.plot([1,5,2,3,4,6,1,2,4,2,3,5,3], pen={'color':'k',\",\n \"pg.QtGui.QGraphicsScene() #rect = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #scene.addItem(rect) #rect.setPos(20,20) #rect.translate(50, 50) #rect.rotate(30) #rect.scale(0.5,\",\n \"0, 100, 25) #rect2.setFlag(rect2.ItemClipsChildrenToShape) #rect2.setParentItem(grp) #rect2.setPos(0,25) #rect2.rotate(30) #el = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 50)\",\n \"export test \\\"\\\"\\\" import test import pyqtgraph as pg app = pg.mkQApp() class\",\n \"#rect1.scale(2,2) #el1 = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 100) #el1.setParentItem(rect1) ##grp = pg.ItemGroup() #grp.setParentItem(rect) #grp.translate(200,0)\",\n \"#rect.setPos(20,20) #rect.translate(50, 50) #rect.rotate(30) #rect.scale(0.5, 0.5) #rect1 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #rect1.setParentItem(rect)\",\n \"0.3}) #app.processEvents() #app.processEvents() #ex = pg.exporters.SVGExporter.SVGExporter(w.scene()) #ex.export(fileName='test.svg') def test_simple(self): scene = pg.QtGui.QGraphicsScene() #rect\",\n \"20) #rect1.scale(2,2) #el1 = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 100) #el1.setParentItem(rect1) ##grp = pg.ItemGroup() #grp.setParentItem(rect)\",\n \"0, 100, 100) #el1.setParentItem(rect1) ##grp = pg.ItemGroup() #grp.setParentItem(rect) #grp.translate(200,0) ##grp.rotate(30) #rect2 = pg.QtGui.QGraphicsRectItem(0,\",\n \"#w = pg.GraphicsWindow() #w.show() #p1 = w.addPlot() #p2 = w.addPlot() #p1.plot([1,3,2,3,1,6,9,8,4,2,3,5,3], pen={'color':'k'}) #p1.setXRange(0,5)\",\n \"test_simple(self): scene = pg.QtGui.QGraphicsScene() #rect = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #scene.addItem(rect) #rect.setPos(20,20) #rect.translate(50,\",\n \"pg.QtGui.QGraphicsRectItem(0,0,2,2) rect3.setPen(pg.mkPen(width=1, cosmetic=False)) grp2.addItem(rect3) ex = pg.exporters.SVGExporter.SVGExporter(scene) ex.export(fileName='test.svg') if __name__ == '__main__': test.unittest.main()\",\n \"##grp = pg.ItemGroup() #grp.setParentItem(rect) #grp.translate(200,0) ##grp.rotate(30) #rect2 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 25) #rect2.setFlag(rect2.ItemClipsChildrenToShape)\",\n \"pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 50) #el.translate(10,-5) #el.scale(0.5,2) #el.setParentItem(rect2) grp2 = pg.ItemGroup() scene.addItem(grp2) grp2.scale(100,100) rect3\",\n \"#p2 = w.addPlot() #p1.plot([1,3,2,3,1,6,9,8,4,2,3,5,3], pen={'color':'k'}) #p1.setXRange(0,5) #p2.plot([1,5,2,3,4,6,1,2,4,2,3,5,3], pen={'color':'k', 'cosmetic':False, 'width': 0.3}) #app.processEvents() #app.processEvents()\",\n \"#w.show() #p1 = w.addPlot() #p2 = w.addPlot() #p1.plot([1,3,2,3,1,6,9,8,4,2,3,5,3], pen={'color':'k'}) #p1.setXRange(0,5) #p2.plot([1,5,2,3,4,6,1,2,4,2,3,5,3], pen={'color':'k', 'cosmetic':False,\",\n \"0, 100, 100) #scene.addItem(rect) #rect.setPos(20,20) #rect.translate(50, 50) #rect.rotate(30) #rect.scale(0.5, 0.5) #rect1 = pg.QtGui.QGraphicsRectItem(0,\",\n \"#grp.translate(200,0) ##grp.rotate(30) #rect2 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 25) #rect2.setFlag(rect2.ItemClipsChildrenToShape) #rect2.setParentItem(grp) #rect2.setPos(0,25) #rect2.rotate(30) #el\",\n \"50) #el.translate(10,-5) #el.scale(0.5,2) #el.setParentItem(rect2) grp2 = pg.ItemGroup() scene.addItem(grp2) grp2.scale(100,100) rect3 = pg.QtGui.QGraphicsRectItem(0,0,2,2) rect3.setPen(pg.mkPen(width=1,\",\n \"#def test_plotscene(self): #pg.setConfigOption('foreground', (0,0,0)) #w = pg.GraphicsWindow() #w.show() #p1 = w.addPlot() #p2 =\",\n \"#grp.setParentItem(rect) #grp.translate(200,0) ##grp.rotate(30) #rect2 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 25) #rect2.setFlag(rect2.ItemClipsChildrenToShape) #rect2.setParentItem(grp) #rect2.setPos(0,25) #rect2.rotate(30)\",\n \"= pg.exporters.SVGExporter.SVGExporter(w.scene()) #ex.export(fileName='test.svg') def test_simple(self): scene = pg.QtGui.QGraphicsScene() #rect = pg.QtGui.QGraphicsRectItem(0, 0, 100,\",\n \"rect3 = pg.QtGui.QGraphicsRectItem(0,0,2,2) rect3.setPen(pg.mkPen(width=1, cosmetic=False)) grp2.addItem(rect3) ex = pg.exporters.SVGExporter.SVGExporter(scene) ex.export(fileName='test.svg') if __name__ ==\",\n \"#p1.setXRange(0,5) #p2.plot([1,5,2,3,4,6,1,2,4,2,3,5,3], pen={'color':'k', 'cosmetic':False, 'width': 0.3}) #app.processEvents() #app.processEvents() #ex = pg.exporters.SVGExporter.SVGExporter(w.scene()) #ex.export(fileName='test.svg') def\",\n \"100) #el1.setParentItem(rect1) ##grp = pg.ItemGroup() #grp.setParentItem(rect) #grp.translate(200,0) ##grp.rotate(30) #rect2 = pg.QtGui.QGraphicsRectItem(0, 0, 100,\",\n \"pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #rect1.setParentItem(rect) #rect1.setFlag(rect1.ItemIgnoresTransformations) #rect1.setPos(20, 20) #rect1.scale(2,2) #el1 = pg.QtGui.QGraphicsEllipseItem(0, 0,\",\n \"#el.scale(0.5,2) #el.setParentItem(rect2) grp2 = pg.ItemGroup() scene.addItem(grp2) grp2.scale(100,100) rect3 = pg.QtGui.QGraphicsRectItem(0,0,2,2) rect3.setPen(pg.mkPen(width=1, cosmetic=False)) grp2.addItem(rect3)\",\n \"SVG export test \\\"\\\"\\\" import test import pyqtgraph as pg app = pg.mkQApp()\",\n \"'width': 0.3}) #app.processEvents() #app.processEvents() #ex = pg.exporters.SVGExporter.SVGExporter(w.scene()) #ex.export(fileName='test.svg') def test_simple(self): scene = pg.QtGui.QGraphicsScene()\",\n \"= pg.QtGui.QGraphicsScene() #rect = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #scene.addItem(rect) #rect.setPos(20,20) #rect.translate(50, 50) #rect.rotate(30)\",\n \"= pg.QtGui.QGraphicsRectItem(0,0,2,2) rect3.setPen(pg.mkPen(width=1, cosmetic=False)) grp2.addItem(rect3) ex = pg.exporters.SVGExporter.SVGExporter(scene) ex.export(fileName='test.svg') if __name__ == '__main__':\",\n \"\\\"\\\"\\\" import test import pyqtgraph as pg app = pg.mkQApp() class SVGTest(test.TestCase): #def\",\n \"test import pyqtgraph as pg app = pg.mkQApp() class SVGTest(test.TestCase): #def test_plotscene(self): #pg.setConfigOption('foreground',\",\n \"0, 100, 100) #rect1.setParentItem(rect) #rect1.setFlag(rect1.ItemIgnoresTransformations) #rect1.setPos(20, 20) #rect1.scale(2,2) #el1 = pg.QtGui.QGraphicsEllipseItem(0, 0, 100,\",\n \"#rect1.setPos(20, 20) #rect1.scale(2,2) #el1 = pg.QtGui.QGraphicsEllipseItem(0, 0, 100, 100) #el1.setParentItem(rect1) ##grp = pg.ItemGroup()\",\n \"#el1.setParentItem(rect1) ##grp = pg.ItemGroup() #grp.setParentItem(rect) #grp.translate(200,0) ##grp.rotate(30) #rect2 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 25)\",\n \"scene.addItem(grp2) grp2.scale(100,100) rect3 = pg.QtGui.QGraphicsRectItem(0,0,2,2) rect3.setPen(pg.mkPen(width=1, cosmetic=False)) grp2.addItem(rect3) ex = pg.exporters.SVGExporter.SVGExporter(scene) ex.export(fileName='test.svg') if\",\n \"import test import pyqtgraph as pg app = pg.mkQApp() class SVGTest(test.TestCase): #def test_plotscene(self):\",\n \"pen={'color':'k'}) #p1.setXRange(0,5) #p2.plot([1,5,2,3,4,6,1,2,4,2,3,5,3], pen={'color':'k', 'cosmetic':False, 'width': 0.3}) #app.processEvents() #app.processEvents() #ex = pg.exporters.SVGExporter.SVGExporter(w.scene()) #ex.export(fileName='test.svg')\",\n \"pg.mkQApp() class SVGTest(test.TestCase): #def test_plotscene(self): #pg.setConfigOption('foreground', (0,0,0)) #w = pg.GraphicsWindow() #w.show() #p1 =\",\n \"class SVGTest(test.TestCase): #def test_plotscene(self): #pg.setConfigOption('foreground', (0,0,0)) #w = pg.GraphicsWindow() #w.show() #p1 = w.addPlot()\",\n \"(0,0,0)) #w = pg.GraphicsWindow() #w.show() #p1 = w.addPlot() #p2 = w.addPlot() #p1.plot([1,3,2,3,1,6,9,8,4,2,3,5,3], pen={'color':'k'})\"\n]","isConversational":false}}},{"rowIdx":1296,"cells":{"ngram":{"kind":"list like","value":["2 ** 0 EVENT_SCHEDULER_SHUTDOWN = 2 ** 1 EVENT_SCHEDULER_PAUSED = 2 ** 2","9 EVENT_JOB_REMOVED = 2 ** 10 EVENT_JOB_MODIFIED = 2 ** 11 EVENT_JOB_EXECUTED =","| EVENT_SCHEDULER_PAUSED | EVENT_SCHEDULER_RESUMED | EVENT_EXECUTOR_ADDED | EVENT_EXECUTOR_REMOVED | EVENT_JOBSTORE_ADDED | EVENT_JOBSTORE_REMOVED |","2 ** 11 EVENT_JOB_EXECUTED = 2 ** 12 EVENT_JOB_ERROR = 2 ** 13","| EVENT_JOB_ADDED | EVENT_JOB_REMOVED | EVENT_JOB_MODIFIED | EVENT_JOB_EXECUTED | EVENT_JOB_ERROR | EVENT_JOB_MISSED |","EVENT_ALL = (EVENT_SCHEDULER_STARTED | EVENT_SCHEDULER_SHUTDOWN | EVENT_SCHEDULER_PAUSED | EVENT_SCHEDULER_RESUMED | EVENT_EXECUTOR_ADDED | EVENT_EXECUTOR_REMOVED","EVENT_SCHEDULER_RESUMED = 2 ** 3 EVENT_EXECUTOR_ADDED = 2 ** 4 EVENT_EXECUTOR_REMOVED = 2","16 EVENT_ALL = (EVENT_SCHEDULER_STARTED | EVENT_SCHEDULER_SHUTDOWN | EVENT_SCHEDULER_PAUSED | EVENT_SCHEDULER_RESUMED | EVENT_EXECUTOR_ADDED |","= 2 ** 14 EVENT_JOB_SUBMITTED = 2 ** 15 EVENT_JOB_MAX_INSTANCES = 2 **","10 EVENT_JOB_MODIFIED = 2 ** 11 EVENT_JOB_EXECUTED = 2 ** 12 EVENT_JOB_ERROR =","EVENT_EXECUTOR_ADDED = 2 ** 4 EVENT_EXECUTOR_REMOVED = 2 ** 5 EVENT_JOBSTORE_ADDED = 2","= 2 ** 15 EVENT_JOB_MAX_INSTANCES = 2 ** 16 EVENT_ALL = (EVENT_SCHEDULER_STARTED |","= 2 ** 4 EVENT_EXECUTOR_REMOVED = 2 ** 5 EVENT_JOBSTORE_ADDED = 2 **","2 ** 14 EVENT_JOB_SUBMITTED = 2 ** 15 EVENT_JOB_MAX_INSTANCES = 2 ** 16","** 15 EVENT_JOB_MAX_INSTANCES = 2 ** 16 EVENT_ALL = (EVENT_SCHEDULER_STARTED | EVENT_SCHEDULER_SHUTDOWN |","<gh_stars>10-100 EVENT_SCHEDULER_STARTED = EVENT_SCHEDULER_START = 2 ** 0 EVENT_SCHEDULER_SHUTDOWN = 2 ** 1","= 2 ** 6 EVENT_JOBSTORE_REMOVED = 2 ** 7 EVENT_ALL_JOBS_REMOVED = 2 **","5 EVENT_JOBSTORE_ADDED = 2 ** 6 EVENT_JOBSTORE_REMOVED = 2 ** 7 EVENT_ALL_JOBS_REMOVED =","EVENT_JOB_ADDED = 2 ** 9 EVENT_JOB_REMOVED = 2 ** 10 EVENT_JOB_MODIFIED = 2","EVENT_JOB_MISSED = 2 ** 14 EVENT_JOB_SUBMITTED = 2 ** 15 EVENT_JOB_MAX_INSTANCES = 2","| EVENT_JOB_REMOVED | EVENT_JOB_MODIFIED | EVENT_JOB_EXECUTED | EVENT_JOB_ERROR | EVENT_JOB_MISSED | EVENT_JOB_SUBMITTED |","EVENT_JOB_SUBMITTED = 2 ** 15 EVENT_JOB_MAX_INSTANCES = 2 ** 16 EVENT_ALL = (EVENT_SCHEDULER_STARTED","7 EVENT_ALL_JOBS_REMOVED = 2 ** 8 EVENT_JOB_ADDED = 2 ** 9 EVENT_JOB_REMOVED =","2 ** 10 EVENT_JOB_MODIFIED = 2 ** 11 EVENT_JOB_EXECUTED = 2 ** 12","** 9 EVENT_JOB_REMOVED = 2 ** 10 EVENT_JOB_MODIFIED = 2 ** 11 EVENT_JOB_EXECUTED","EVENT_SCHEDULER_SHUTDOWN | EVENT_SCHEDULER_PAUSED | EVENT_SCHEDULER_RESUMED | EVENT_EXECUTOR_ADDED | EVENT_EXECUTOR_REMOVED | EVENT_JOBSTORE_ADDED | EVENT_JOBSTORE_REMOVED","EVENT_SCHEDULER_PAUSED | EVENT_SCHEDULER_RESUMED | EVENT_EXECUTOR_ADDED | EVENT_EXECUTOR_REMOVED | EVENT_JOBSTORE_ADDED | EVENT_JOBSTORE_REMOVED | EVENT_ALL_JOBS_REMOVED","| EVENT_JOBSTORE_ADDED | EVENT_JOBSTORE_REMOVED | EVENT_ALL_JOBS_REMOVED | EVENT_JOB_ADDED | EVENT_JOB_REMOVED | EVENT_JOB_MODIFIED |","12 EVENT_JOB_ERROR = 2 ** 13 EVENT_JOB_MISSED = 2 ** 14 EVENT_JOB_SUBMITTED =","2 ** 9 EVENT_JOB_REMOVED = 2 ** 10 EVENT_JOB_MODIFIED = 2 ** 11","EVENT_SCHEDULER_RESUMED | EVENT_EXECUTOR_ADDED | EVENT_EXECUTOR_REMOVED | EVENT_JOBSTORE_ADDED | EVENT_JOBSTORE_REMOVED | EVENT_ALL_JOBS_REMOVED | EVENT_JOB_ADDED","= 2 ** 0 EVENT_SCHEDULER_SHUTDOWN = 2 ** 1 EVENT_SCHEDULER_PAUSED = 2 **","= 2 ** 16 EVENT_ALL = (EVENT_SCHEDULER_STARTED | EVENT_SCHEDULER_SHUTDOWN | EVENT_SCHEDULER_PAUSED | EVENT_SCHEDULER_RESUMED","2 ** 16 EVENT_ALL = (EVENT_SCHEDULER_STARTED | EVENT_SCHEDULER_SHUTDOWN | EVENT_SCHEDULER_PAUSED | EVENT_SCHEDULER_RESUMED |","= 2 ** 9 EVENT_JOB_REMOVED = 2 ** 10 EVENT_JOB_MODIFIED = 2 **","EVENT_JOB_MAX_INSTANCES = 2 ** 16 EVENT_ALL = (EVENT_SCHEDULER_STARTED | EVENT_SCHEDULER_SHUTDOWN | EVENT_SCHEDULER_PAUSED |","EVENT_SCHEDULER_SHUTDOWN = 2 ** 1 EVENT_SCHEDULER_PAUSED = 2 ** 2 EVENT_SCHEDULER_RESUMED = 2","2 ** 5 EVENT_JOBSTORE_ADDED = 2 ** 6 EVENT_JOBSTORE_REMOVED = 2 ** 7","| EVENT_EXECUTOR_ADDED | EVENT_EXECUTOR_REMOVED | EVENT_JOBSTORE_ADDED | EVENT_JOBSTORE_REMOVED | EVENT_ALL_JOBS_REMOVED | EVENT_JOB_ADDED |","** 4 EVENT_EXECUTOR_REMOVED = 2 ** 5 EVENT_JOBSTORE_ADDED = 2 ** 6 EVENT_JOBSTORE_REMOVED","** 16 EVENT_ALL = (EVENT_SCHEDULER_STARTED | EVENT_SCHEDULER_SHUTDOWN | EVENT_SCHEDULER_PAUSED | EVENT_SCHEDULER_RESUMED | EVENT_EXECUTOR_ADDED","3 EVENT_EXECUTOR_ADDED = 2 ** 4 EVENT_EXECUTOR_REMOVED = 2 ** 5 EVENT_JOBSTORE_ADDED =","EVENT_JOBSTORE_REMOVED | EVENT_ALL_JOBS_REMOVED | EVENT_JOB_ADDED | EVENT_JOB_REMOVED | EVENT_JOB_MODIFIED | EVENT_JOB_EXECUTED | EVENT_JOB_ERROR","** 8 EVENT_JOB_ADDED = 2 ** 9 EVENT_JOB_REMOVED = 2 ** 10 EVENT_JOB_MODIFIED","2 ** 13 EVENT_JOB_MISSED = 2 ** 14 EVENT_JOB_SUBMITTED = 2 ** 15","| EVENT_SCHEDULER_SHUTDOWN | EVENT_SCHEDULER_PAUSED | EVENT_SCHEDULER_RESUMED | EVENT_EXECUTOR_ADDED | EVENT_EXECUTOR_REMOVED | EVENT_JOBSTORE_ADDED |","EVENT_EXECUTOR_ADDED | EVENT_EXECUTOR_REMOVED | EVENT_JOBSTORE_ADDED | EVENT_JOBSTORE_REMOVED | EVENT_ALL_JOBS_REMOVED | EVENT_JOB_ADDED | EVENT_JOB_REMOVED","EVENT_ALL_JOBS_REMOVED | EVENT_JOB_ADDED | EVENT_JOB_REMOVED | EVENT_JOB_MODIFIED | EVENT_JOB_EXECUTED | EVENT_JOB_ERROR | EVENT_JOB_MISSED","EVENT_JOB_MODIFIED = 2 ** 11 EVENT_JOB_EXECUTED = 2 ** 12 EVENT_JOB_ERROR = 2","2 ** 7 EVENT_ALL_JOBS_REMOVED = 2 ** 8 EVENT_JOB_ADDED = 2 ** 9","EVENT_SCHEDULER_START = 2 ** 0 EVENT_SCHEDULER_SHUTDOWN = 2 ** 1 EVENT_SCHEDULER_PAUSED = 2","** 11 EVENT_JOB_EXECUTED = 2 ** 12 EVENT_JOB_ERROR = 2 ** 13 EVENT_JOB_MISSED","0 EVENT_SCHEDULER_SHUTDOWN = 2 ** 1 EVENT_SCHEDULER_PAUSED = 2 ** 2 EVENT_SCHEDULER_RESUMED =","= 2 ** 12 EVENT_JOB_ERROR = 2 ** 13 EVENT_JOB_MISSED = 2 **","2 ** 6 EVENT_JOBSTORE_REMOVED = 2 ** 7 EVENT_ALL_JOBS_REMOVED = 2 ** 8","| EVENT_ALL_JOBS_REMOVED | EVENT_JOB_ADDED | EVENT_JOB_REMOVED | EVENT_JOB_MODIFIED | EVENT_JOB_EXECUTED | EVENT_JOB_ERROR |","EVENT_JOBSTORE_ADDED = 2 ** 6 EVENT_JOBSTORE_REMOVED = 2 ** 7 EVENT_ALL_JOBS_REMOVED = 2","4 EVENT_EXECUTOR_REMOVED = 2 ** 5 EVENT_JOBSTORE_ADDED = 2 ** 6 EVENT_JOBSTORE_REMOVED =","1 EVENT_SCHEDULER_PAUSED = 2 ** 2 EVENT_SCHEDULER_RESUMED = 2 ** 3 EVENT_EXECUTOR_ADDED =","EVENT_EXECUTOR_REMOVED | EVENT_JOBSTORE_ADDED | EVENT_JOBSTORE_REMOVED | EVENT_ALL_JOBS_REMOVED | EVENT_JOB_ADDED | EVENT_JOB_REMOVED | EVENT_JOB_MODIFIED","11 EVENT_JOB_EXECUTED = 2 ** 12 EVENT_JOB_ERROR = 2 ** 13 EVENT_JOB_MISSED =","** 5 EVENT_JOBSTORE_ADDED = 2 ** 6 EVENT_JOBSTORE_REMOVED = 2 ** 7 EVENT_ALL_JOBS_REMOVED","2 ** 15 EVENT_JOB_MAX_INSTANCES = 2 ** 16 EVENT_ALL = (EVENT_SCHEDULER_STARTED | EVENT_SCHEDULER_SHUTDOWN","= EVENT_SCHEDULER_START = 2 ** 0 EVENT_SCHEDULER_SHUTDOWN = 2 ** 1 EVENT_SCHEDULER_PAUSED =","EVENT_SCHEDULER_STARTED = EVENT_SCHEDULER_START = 2 ** 0 EVENT_SCHEDULER_SHUTDOWN = 2 ** 1 EVENT_SCHEDULER_PAUSED","** 3 EVENT_EXECUTOR_ADDED = 2 ** 4 EVENT_EXECUTOR_REMOVED = 2 ** 5 EVENT_JOBSTORE_ADDED","2 ** 2 EVENT_SCHEDULER_RESUMED = 2 ** 3 EVENT_EXECUTOR_ADDED = 2 ** 4","** 6 EVENT_JOBSTORE_REMOVED = 2 ** 7 EVENT_ALL_JOBS_REMOVED = 2 ** 8 EVENT_JOB_ADDED","= (EVENT_SCHEDULER_STARTED | EVENT_SCHEDULER_SHUTDOWN | EVENT_SCHEDULER_PAUSED | EVENT_SCHEDULER_RESUMED | EVENT_EXECUTOR_ADDED | EVENT_EXECUTOR_REMOVED |","2 EVENT_SCHEDULER_RESUMED = 2 ** 3 EVENT_EXECUTOR_ADDED = 2 ** 4 EVENT_EXECUTOR_REMOVED =","** 7 EVENT_ALL_JOBS_REMOVED = 2 ** 8 EVENT_JOB_ADDED = 2 ** 9 EVENT_JOB_REMOVED","= 2 ** 3 EVENT_EXECUTOR_ADDED = 2 ** 4 EVENT_EXECUTOR_REMOVED = 2 **","6 EVENT_JOBSTORE_REMOVED = 2 ** 7 EVENT_ALL_JOBS_REMOVED = 2 ** 8 EVENT_JOB_ADDED =","13 EVENT_JOB_MISSED = 2 ** 14 EVENT_JOB_SUBMITTED = 2 ** 15 EVENT_JOB_MAX_INSTANCES =","= 2 ** 8 EVENT_JOB_ADDED = 2 ** 9 EVENT_JOB_REMOVED = 2 **","EVENT_JOB_EXECUTED = 2 ** 12 EVENT_JOB_ERROR = 2 ** 13 EVENT_JOB_MISSED = 2","EVENT_JOBSTORE_ADDED | EVENT_JOBSTORE_REMOVED | EVENT_ALL_JOBS_REMOVED | EVENT_JOB_ADDED | EVENT_JOB_REMOVED | EVENT_JOB_MODIFIED | EVENT_JOB_EXECUTED","2 ** 4 EVENT_EXECUTOR_REMOVED = 2 ** 5 EVENT_JOBSTORE_ADDED = 2 ** 6","2 ** 12 EVENT_JOB_ERROR = 2 ** 13 EVENT_JOB_MISSED = 2 ** 14","EVENT_JOBSTORE_REMOVED = 2 ** 7 EVENT_ALL_JOBS_REMOVED = 2 ** 8 EVENT_JOB_ADDED = 2","= 2 ** 1 EVENT_SCHEDULER_PAUSED = 2 ** 2 EVENT_SCHEDULER_RESUMED = 2 **","EVENT_JOB_ADDED | EVENT_JOB_REMOVED | EVENT_JOB_MODIFIED | EVENT_JOB_EXECUTED | EVENT_JOB_ERROR | EVENT_JOB_MISSED | EVENT_JOB_SUBMITTED","15 EVENT_JOB_MAX_INSTANCES = 2 ** 16 EVENT_ALL = (EVENT_SCHEDULER_STARTED | EVENT_SCHEDULER_SHUTDOWN | EVENT_SCHEDULER_PAUSED","| EVENT_JOBSTORE_REMOVED | EVENT_ALL_JOBS_REMOVED | EVENT_JOB_ADDED | EVENT_JOB_REMOVED | EVENT_JOB_MODIFIED | EVENT_JOB_EXECUTED |","2 ** 1 EVENT_SCHEDULER_PAUSED = 2 ** 2 EVENT_SCHEDULER_RESUMED = 2 ** 3","EVENT_ALL_JOBS_REMOVED = 2 ** 8 EVENT_JOB_ADDED = 2 ** 9 EVENT_JOB_REMOVED = 2","** 2 EVENT_SCHEDULER_RESUMED = 2 ** 3 EVENT_EXECUTOR_ADDED = 2 ** 4 EVENT_EXECUTOR_REMOVED","** 13 EVENT_JOB_MISSED = 2 ** 14 EVENT_JOB_SUBMITTED = 2 ** 15 EVENT_JOB_MAX_INSTANCES","= 2 ** 7 EVENT_ALL_JOBS_REMOVED = 2 ** 8 EVENT_JOB_ADDED = 2 **","** 10 EVENT_JOB_MODIFIED = 2 ** 11 EVENT_JOB_EXECUTED = 2 ** 12 EVENT_JOB_ERROR","EVENT_EXECUTOR_REMOVED = 2 ** 5 EVENT_JOBSTORE_ADDED = 2 ** 6 EVENT_JOBSTORE_REMOVED = 2","2 ** 8 EVENT_JOB_ADDED = 2 ** 9 EVENT_JOB_REMOVED = 2 ** 10","** 12 EVENT_JOB_ERROR = 2 ** 13 EVENT_JOB_MISSED = 2 ** 14 EVENT_JOB_SUBMITTED","2 ** 3 EVENT_EXECUTOR_ADDED = 2 ** 4 EVENT_EXECUTOR_REMOVED = 2 ** 5","= 2 ** 2 EVENT_SCHEDULER_RESUMED = 2 ** 3 EVENT_EXECUTOR_ADDED = 2 **","EVENT_JOB_REMOVED | EVENT_JOB_MODIFIED | EVENT_JOB_EXECUTED | EVENT_JOB_ERROR | EVENT_JOB_MISSED | EVENT_JOB_SUBMITTED | EVENT_JOB_MAX_INSTANCES)","** 0 EVENT_SCHEDULER_SHUTDOWN = 2 ** 1 EVENT_SCHEDULER_PAUSED = 2 ** 2 EVENT_SCHEDULER_RESUMED","14 EVENT_JOB_SUBMITTED = 2 ** 15 EVENT_JOB_MAX_INSTANCES = 2 ** 16 EVENT_ALL =","| EVENT_SCHEDULER_RESUMED | EVENT_EXECUTOR_ADDED | EVENT_EXECUTOR_REMOVED | EVENT_JOBSTORE_ADDED | EVENT_JOBSTORE_REMOVED | EVENT_ALL_JOBS_REMOVED |","EVENT_JOB_ERROR = 2 ** 13 EVENT_JOB_MISSED = 2 ** 14 EVENT_JOB_SUBMITTED = 2","= 2 ** 11 EVENT_JOB_EXECUTED = 2 ** 12 EVENT_JOB_ERROR = 2 **","EVENT_SCHEDULER_PAUSED = 2 ** 2 EVENT_SCHEDULER_RESUMED = 2 ** 3 EVENT_EXECUTOR_ADDED = 2","= 2 ** 5 EVENT_JOBSTORE_ADDED = 2 ** 6 EVENT_JOBSTORE_REMOVED = 2 **","EVENT_JOB_REMOVED = 2 ** 10 EVENT_JOB_MODIFIED = 2 ** 11 EVENT_JOB_EXECUTED = 2","** 14 EVENT_JOB_SUBMITTED = 2 ** 15 EVENT_JOB_MAX_INSTANCES = 2 ** 16 EVENT_ALL","= 2 ** 13 EVENT_JOB_MISSED = 2 ** 14 EVENT_JOB_SUBMITTED = 2 **","8 EVENT_JOB_ADDED = 2 ** 9 EVENT_JOB_REMOVED = 2 ** 10 EVENT_JOB_MODIFIED =","** 1 EVENT_SCHEDULER_PAUSED = 2 ** 2 EVENT_SCHEDULER_RESUMED = 2 ** 3 EVENT_EXECUTOR_ADDED","= 2 ** 10 EVENT_JOB_MODIFIED = 2 ** 11 EVENT_JOB_EXECUTED = 2 **","(EVENT_SCHEDULER_STARTED | EVENT_SCHEDULER_SHUTDOWN | EVENT_SCHEDULER_PAUSED | EVENT_SCHEDULER_RESUMED | EVENT_EXECUTOR_ADDED | EVENT_EXECUTOR_REMOVED | EVENT_JOBSTORE_ADDED","| EVENT_EXECUTOR_REMOVED | EVENT_JOBSTORE_ADDED | EVENT_JOBSTORE_REMOVED | EVENT_ALL_JOBS_REMOVED | EVENT_JOB_ADDED | EVENT_JOB_REMOVED |"],"string":"[\n \"2 ** 0 EVENT_SCHEDULER_SHUTDOWN = 2 ** 1 EVENT_SCHEDULER_PAUSED = 2 ** 2\",\n \"9 EVENT_JOB_REMOVED = 2 ** 10 EVENT_JOB_MODIFIED = 2 ** 11 EVENT_JOB_EXECUTED =\",\n \"| EVENT_SCHEDULER_PAUSED | EVENT_SCHEDULER_RESUMED | EVENT_EXECUTOR_ADDED | EVENT_EXECUTOR_REMOVED | EVENT_JOBSTORE_ADDED | EVENT_JOBSTORE_REMOVED |\",\n \"2 ** 11 EVENT_JOB_EXECUTED = 2 ** 12 EVENT_JOB_ERROR = 2 ** 13\",\n \"| EVENT_JOB_ADDED | EVENT_JOB_REMOVED | EVENT_JOB_MODIFIED | EVENT_JOB_EXECUTED | EVENT_JOB_ERROR | EVENT_JOB_MISSED |\",\n \"EVENT_ALL = (EVENT_SCHEDULER_STARTED | EVENT_SCHEDULER_SHUTDOWN | EVENT_SCHEDULER_PAUSED | EVENT_SCHEDULER_RESUMED | EVENT_EXECUTOR_ADDED | EVENT_EXECUTOR_REMOVED\",\n \"EVENT_SCHEDULER_RESUMED = 2 ** 3 EVENT_EXECUTOR_ADDED = 2 ** 4 EVENT_EXECUTOR_REMOVED = 2\",\n \"16 EVENT_ALL = (EVENT_SCHEDULER_STARTED | EVENT_SCHEDULER_SHUTDOWN | EVENT_SCHEDULER_PAUSED | EVENT_SCHEDULER_RESUMED | EVENT_EXECUTOR_ADDED |\",\n \"= 2 ** 14 EVENT_JOB_SUBMITTED = 2 ** 15 EVENT_JOB_MAX_INSTANCES = 2 **\",\n \"10 EVENT_JOB_MODIFIED = 2 ** 11 EVENT_JOB_EXECUTED = 2 ** 12 EVENT_JOB_ERROR =\",\n \"EVENT_EXECUTOR_ADDED = 2 ** 4 EVENT_EXECUTOR_REMOVED = 2 ** 5 EVENT_JOBSTORE_ADDED = 2\",\n \"= 2 ** 15 EVENT_JOB_MAX_INSTANCES = 2 ** 16 EVENT_ALL = (EVENT_SCHEDULER_STARTED |\",\n \"= 2 ** 4 EVENT_EXECUTOR_REMOVED = 2 ** 5 EVENT_JOBSTORE_ADDED = 2 **\",\n \"2 ** 14 EVENT_JOB_SUBMITTED = 2 ** 15 EVENT_JOB_MAX_INSTANCES = 2 ** 16\",\n \"** 15 EVENT_JOB_MAX_INSTANCES = 2 ** 16 EVENT_ALL = (EVENT_SCHEDULER_STARTED | EVENT_SCHEDULER_SHUTDOWN |\",\n \"<gh_stars>10-100 EVENT_SCHEDULER_STARTED = EVENT_SCHEDULER_START = 2 ** 0 EVENT_SCHEDULER_SHUTDOWN = 2 ** 1\",\n \"= 2 ** 6 EVENT_JOBSTORE_REMOVED = 2 ** 7 EVENT_ALL_JOBS_REMOVED = 2 **\",\n \"5 EVENT_JOBSTORE_ADDED = 2 ** 6 EVENT_JOBSTORE_REMOVED = 2 ** 7 EVENT_ALL_JOBS_REMOVED =\",\n \"EVENT_JOB_ADDED = 2 ** 9 EVENT_JOB_REMOVED = 2 ** 10 EVENT_JOB_MODIFIED = 2\",\n \"EVENT_JOB_MISSED = 2 ** 14 EVENT_JOB_SUBMITTED = 2 ** 15 EVENT_JOB_MAX_INSTANCES = 2\",\n \"| EVENT_JOB_REMOVED | EVENT_JOB_MODIFIED | EVENT_JOB_EXECUTED | EVENT_JOB_ERROR | EVENT_JOB_MISSED | EVENT_JOB_SUBMITTED |\",\n \"EVENT_JOB_SUBMITTED = 2 ** 15 EVENT_JOB_MAX_INSTANCES = 2 ** 16 EVENT_ALL = (EVENT_SCHEDULER_STARTED\",\n \"7 EVENT_ALL_JOBS_REMOVED = 2 ** 8 EVENT_JOB_ADDED = 2 ** 9 EVENT_JOB_REMOVED =\",\n \"2 ** 10 EVENT_JOB_MODIFIED = 2 ** 11 EVENT_JOB_EXECUTED = 2 ** 12\",\n \"** 9 EVENT_JOB_REMOVED = 2 ** 10 EVENT_JOB_MODIFIED = 2 ** 11 EVENT_JOB_EXECUTED\",\n \"EVENT_SCHEDULER_SHUTDOWN | EVENT_SCHEDULER_PAUSED | EVENT_SCHEDULER_RESUMED | EVENT_EXECUTOR_ADDED | EVENT_EXECUTOR_REMOVED | EVENT_JOBSTORE_ADDED | EVENT_JOBSTORE_REMOVED\",\n \"EVENT_SCHEDULER_PAUSED | EVENT_SCHEDULER_RESUMED | EVENT_EXECUTOR_ADDED | EVENT_EXECUTOR_REMOVED | EVENT_JOBSTORE_ADDED | EVENT_JOBSTORE_REMOVED | EVENT_ALL_JOBS_REMOVED\",\n \"| EVENT_JOBSTORE_ADDED | EVENT_JOBSTORE_REMOVED | EVENT_ALL_JOBS_REMOVED | EVENT_JOB_ADDED | EVENT_JOB_REMOVED | EVENT_JOB_MODIFIED |\",\n \"12 EVENT_JOB_ERROR = 2 ** 13 EVENT_JOB_MISSED = 2 ** 14 EVENT_JOB_SUBMITTED =\",\n \"2 ** 9 EVENT_JOB_REMOVED = 2 ** 10 EVENT_JOB_MODIFIED = 2 ** 11\",\n \"EVENT_SCHEDULER_RESUMED | EVENT_EXECUTOR_ADDED | EVENT_EXECUTOR_REMOVED | EVENT_JOBSTORE_ADDED | EVENT_JOBSTORE_REMOVED | EVENT_ALL_JOBS_REMOVED | EVENT_JOB_ADDED\",\n \"= 2 ** 0 EVENT_SCHEDULER_SHUTDOWN = 2 ** 1 EVENT_SCHEDULER_PAUSED = 2 **\",\n \"= 2 ** 16 EVENT_ALL = (EVENT_SCHEDULER_STARTED | EVENT_SCHEDULER_SHUTDOWN | EVENT_SCHEDULER_PAUSED | EVENT_SCHEDULER_RESUMED\",\n \"2 ** 16 EVENT_ALL = (EVENT_SCHEDULER_STARTED | EVENT_SCHEDULER_SHUTDOWN | EVENT_SCHEDULER_PAUSED | EVENT_SCHEDULER_RESUMED |\",\n \"= 2 ** 9 EVENT_JOB_REMOVED = 2 ** 10 EVENT_JOB_MODIFIED = 2 **\",\n \"EVENT_JOB_MAX_INSTANCES = 2 ** 16 EVENT_ALL = (EVENT_SCHEDULER_STARTED | EVENT_SCHEDULER_SHUTDOWN | EVENT_SCHEDULER_PAUSED |\",\n \"EVENT_SCHEDULER_SHUTDOWN = 2 ** 1 EVENT_SCHEDULER_PAUSED = 2 ** 2 EVENT_SCHEDULER_RESUMED = 2\",\n \"2 ** 5 EVENT_JOBSTORE_ADDED = 2 ** 6 EVENT_JOBSTORE_REMOVED = 2 ** 7\",\n \"| EVENT_EXECUTOR_ADDED | EVENT_EXECUTOR_REMOVED | EVENT_JOBSTORE_ADDED | EVENT_JOBSTORE_REMOVED | EVENT_ALL_JOBS_REMOVED | EVENT_JOB_ADDED |\",\n \"** 4 EVENT_EXECUTOR_REMOVED = 2 ** 5 EVENT_JOBSTORE_ADDED = 2 ** 6 EVENT_JOBSTORE_REMOVED\",\n \"** 16 EVENT_ALL = (EVENT_SCHEDULER_STARTED | EVENT_SCHEDULER_SHUTDOWN | EVENT_SCHEDULER_PAUSED | EVENT_SCHEDULER_RESUMED | EVENT_EXECUTOR_ADDED\",\n \"3 EVENT_EXECUTOR_ADDED = 2 ** 4 EVENT_EXECUTOR_REMOVED = 2 ** 5 EVENT_JOBSTORE_ADDED =\",\n \"EVENT_JOBSTORE_REMOVED | EVENT_ALL_JOBS_REMOVED | EVENT_JOB_ADDED | EVENT_JOB_REMOVED | EVENT_JOB_MODIFIED | EVENT_JOB_EXECUTED | EVENT_JOB_ERROR\",\n \"** 8 EVENT_JOB_ADDED = 2 ** 9 EVENT_JOB_REMOVED = 2 ** 10 EVENT_JOB_MODIFIED\",\n \"2 ** 13 EVENT_JOB_MISSED = 2 ** 14 EVENT_JOB_SUBMITTED = 2 ** 15\",\n \"| EVENT_SCHEDULER_SHUTDOWN | EVENT_SCHEDULER_PAUSED | EVENT_SCHEDULER_RESUMED | EVENT_EXECUTOR_ADDED | EVENT_EXECUTOR_REMOVED | EVENT_JOBSTORE_ADDED |\",\n \"EVENT_EXECUTOR_ADDED | EVENT_EXECUTOR_REMOVED | EVENT_JOBSTORE_ADDED | EVENT_JOBSTORE_REMOVED | EVENT_ALL_JOBS_REMOVED | EVENT_JOB_ADDED | EVENT_JOB_REMOVED\",\n \"EVENT_ALL_JOBS_REMOVED | EVENT_JOB_ADDED | EVENT_JOB_REMOVED | EVENT_JOB_MODIFIED | EVENT_JOB_EXECUTED | EVENT_JOB_ERROR | EVENT_JOB_MISSED\",\n \"EVENT_JOB_MODIFIED = 2 ** 11 EVENT_JOB_EXECUTED = 2 ** 12 EVENT_JOB_ERROR = 2\",\n \"2 ** 7 EVENT_ALL_JOBS_REMOVED = 2 ** 8 EVENT_JOB_ADDED = 2 ** 9\",\n \"EVENT_SCHEDULER_START = 2 ** 0 EVENT_SCHEDULER_SHUTDOWN = 2 ** 1 EVENT_SCHEDULER_PAUSED = 2\",\n \"** 11 EVENT_JOB_EXECUTED = 2 ** 12 EVENT_JOB_ERROR = 2 ** 13 EVENT_JOB_MISSED\",\n \"0 EVENT_SCHEDULER_SHUTDOWN = 2 ** 1 EVENT_SCHEDULER_PAUSED = 2 ** 2 EVENT_SCHEDULER_RESUMED =\",\n \"= 2 ** 12 EVENT_JOB_ERROR = 2 ** 13 EVENT_JOB_MISSED = 2 **\",\n \"2 ** 6 EVENT_JOBSTORE_REMOVED = 2 ** 7 EVENT_ALL_JOBS_REMOVED = 2 ** 8\",\n \"| EVENT_ALL_JOBS_REMOVED | EVENT_JOB_ADDED | EVENT_JOB_REMOVED | EVENT_JOB_MODIFIED | EVENT_JOB_EXECUTED | EVENT_JOB_ERROR |\",\n \"EVENT_JOBSTORE_ADDED = 2 ** 6 EVENT_JOBSTORE_REMOVED = 2 ** 7 EVENT_ALL_JOBS_REMOVED = 2\",\n \"4 EVENT_EXECUTOR_REMOVED = 2 ** 5 EVENT_JOBSTORE_ADDED = 2 ** 6 EVENT_JOBSTORE_REMOVED =\",\n \"1 EVENT_SCHEDULER_PAUSED = 2 ** 2 EVENT_SCHEDULER_RESUMED = 2 ** 3 EVENT_EXECUTOR_ADDED =\",\n \"EVENT_EXECUTOR_REMOVED | EVENT_JOBSTORE_ADDED | EVENT_JOBSTORE_REMOVED | EVENT_ALL_JOBS_REMOVED | EVENT_JOB_ADDED | EVENT_JOB_REMOVED | EVENT_JOB_MODIFIED\",\n \"11 EVENT_JOB_EXECUTED = 2 ** 12 EVENT_JOB_ERROR = 2 ** 13 EVENT_JOB_MISSED =\",\n \"** 5 EVENT_JOBSTORE_ADDED = 2 ** 6 EVENT_JOBSTORE_REMOVED = 2 ** 7 EVENT_ALL_JOBS_REMOVED\",\n \"2 ** 15 EVENT_JOB_MAX_INSTANCES = 2 ** 16 EVENT_ALL = (EVENT_SCHEDULER_STARTED | EVENT_SCHEDULER_SHUTDOWN\",\n \"= EVENT_SCHEDULER_START = 2 ** 0 EVENT_SCHEDULER_SHUTDOWN = 2 ** 1 EVENT_SCHEDULER_PAUSED =\",\n \"EVENT_SCHEDULER_STARTED = EVENT_SCHEDULER_START = 2 ** 0 EVENT_SCHEDULER_SHUTDOWN = 2 ** 1 EVENT_SCHEDULER_PAUSED\",\n \"** 3 EVENT_EXECUTOR_ADDED = 2 ** 4 EVENT_EXECUTOR_REMOVED = 2 ** 5 EVENT_JOBSTORE_ADDED\",\n \"2 ** 2 EVENT_SCHEDULER_RESUMED = 2 ** 3 EVENT_EXECUTOR_ADDED = 2 ** 4\",\n \"** 6 EVENT_JOBSTORE_REMOVED = 2 ** 7 EVENT_ALL_JOBS_REMOVED = 2 ** 8 EVENT_JOB_ADDED\",\n \"= (EVENT_SCHEDULER_STARTED | EVENT_SCHEDULER_SHUTDOWN | EVENT_SCHEDULER_PAUSED | EVENT_SCHEDULER_RESUMED | EVENT_EXECUTOR_ADDED | EVENT_EXECUTOR_REMOVED |\",\n \"2 EVENT_SCHEDULER_RESUMED = 2 ** 3 EVENT_EXECUTOR_ADDED = 2 ** 4 EVENT_EXECUTOR_REMOVED =\",\n \"** 7 EVENT_ALL_JOBS_REMOVED = 2 ** 8 EVENT_JOB_ADDED = 2 ** 9 EVENT_JOB_REMOVED\",\n \"= 2 ** 3 EVENT_EXECUTOR_ADDED = 2 ** 4 EVENT_EXECUTOR_REMOVED = 2 **\",\n \"6 EVENT_JOBSTORE_REMOVED = 2 ** 7 EVENT_ALL_JOBS_REMOVED = 2 ** 8 EVENT_JOB_ADDED =\",\n \"13 EVENT_JOB_MISSED = 2 ** 14 EVENT_JOB_SUBMITTED = 2 ** 15 EVENT_JOB_MAX_INSTANCES =\",\n \"= 2 ** 8 EVENT_JOB_ADDED = 2 ** 9 EVENT_JOB_REMOVED = 2 **\",\n \"EVENT_JOB_EXECUTED = 2 ** 12 EVENT_JOB_ERROR = 2 ** 13 EVENT_JOB_MISSED = 2\",\n \"EVENT_JOBSTORE_ADDED | EVENT_JOBSTORE_REMOVED | EVENT_ALL_JOBS_REMOVED | EVENT_JOB_ADDED | EVENT_JOB_REMOVED | EVENT_JOB_MODIFIED | EVENT_JOB_EXECUTED\",\n \"2 ** 4 EVENT_EXECUTOR_REMOVED = 2 ** 5 EVENT_JOBSTORE_ADDED = 2 ** 6\",\n \"2 ** 12 EVENT_JOB_ERROR = 2 ** 13 EVENT_JOB_MISSED = 2 ** 14\",\n \"EVENT_JOBSTORE_REMOVED = 2 ** 7 EVENT_ALL_JOBS_REMOVED = 2 ** 8 EVENT_JOB_ADDED = 2\",\n \"= 2 ** 1 EVENT_SCHEDULER_PAUSED = 2 ** 2 EVENT_SCHEDULER_RESUMED = 2 **\",\n \"EVENT_JOB_ADDED | EVENT_JOB_REMOVED | EVENT_JOB_MODIFIED | EVENT_JOB_EXECUTED | EVENT_JOB_ERROR | EVENT_JOB_MISSED | EVENT_JOB_SUBMITTED\",\n \"15 EVENT_JOB_MAX_INSTANCES = 2 ** 16 EVENT_ALL = (EVENT_SCHEDULER_STARTED | EVENT_SCHEDULER_SHUTDOWN | EVENT_SCHEDULER_PAUSED\",\n \"| EVENT_JOBSTORE_REMOVED | EVENT_ALL_JOBS_REMOVED | EVENT_JOB_ADDED | EVENT_JOB_REMOVED | EVENT_JOB_MODIFIED | EVENT_JOB_EXECUTED |\",\n \"2 ** 1 EVENT_SCHEDULER_PAUSED = 2 ** 2 EVENT_SCHEDULER_RESUMED = 2 ** 3\",\n \"EVENT_ALL_JOBS_REMOVED = 2 ** 8 EVENT_JOB_ADDED = 2 ** 9 EVENT_JOB_REMOVED = 2\",\n \"** 2 EVENT_SCHEDULER_RESUMED = 2 ** 3 EVENT_EXECUTOR_ADDED = 2 ** 4 EVENT_EXECUTOR_REMOVED\",\n \"** 13 EVENT_JOB_MISSED = 2 ** 14 EVENT_JOB_SUBMITTED = 2 ** 15 EVENT_JOB_MAX_INSTANCES\",\n \"= 2 ** 7 EVENT_ALL_JOBS_REMOVED = 2 ** 8 EVENT_JOB_ADDED = 2 **\",\n \"** 10 EVENT_JOB_MODIFIED = 2 ** 11 EVENT_JOB_EXECUTED = 2 ** 12 EVENT_JOB_ERROR\",\n \"EVENT_EXECUTOR_REMOVED = 2 ** 5 EVENT_JOBSTORE_ADDED = 2 ** 6 EVENT_JOBSTORE_REMOVED = 2\",\n \"2 ** 8 EVENT_JOB_ADDED = 2 ** 9 EVENT_JOB_REMOVED = 2 ** 10\",\n \"** 12 EVENT_JOB_ERROR = 2 ** 13 EVENT_JOB_MISSED = 2 ** 14 EVENT_JOB_SUBMITTED\",\n \"2 ** 3 EVENT_EXECUTOR_ADDED = 2 ** 4 EVENT_EXECUTOR_REMOVED = 2 ** 5\",\n \"= 2 ** 2 EVENT_SCHEDULER_RESUMED = 2 ** 3 EVENT_EXECUTOR_ADDED = 2 **\",\n \"EVENT_JOB_REMOVED | EVENT_JOB_MODIFIED | EVENT_JOB_EXECUTED | EVENT_JOB_ERROR | EVENT_JOB_MISSED | EVENT_JOB_SUBMITTED | EVENT_JOB_MAX_INSTANCES)\",\n \"** 0 EVENT_SCHEDULER_SHUTDOWN = 2 ** 1 EVENT_SCHEDULER_PAUSED = 2 ** 2 EVENT_SCHEDULER_RESUMED\",\n \"14 EVENT_JOB_SUBMITTED = 2 ** 15 EVENT_JOB_MAX_INSTANCES = 2 ** 16 EVENT_ALL =\",\n \"| EVENT_SCHEDULER_RESUMED | EVENT_EXECUTOR_ADDED | EVENT_EXECUTOR_REMOVED | EVENT_JOBSTORE_ADDED | EVENT_JOBSTORE_REMOVED | EVENT_ALL_JOBS_REMOVED |\",\n \"EVENT_JOB_ERROR = 2 ** 13 EVENT_JOB_MISSED = 2 ** 14 EVENT_JOB_SUBMITTED = 2\",\n \"= 2 ** 11 EVENT_JOB_EXECUTED = 2 ** 12 EVENT_JOB_ERROR = 2 **\",\n \"EVENT_SCHEDULER_PAUSED = 2 ** 2 EVENT_SCHEDULER_RESUMED = 2 ** 3 EVENT_EXECUTOR_ADDED = 2\",\n \"= 2 ** 5 EVENT_JOBSTORE_ADDED = 2 ** 6 EVENT_JOBSTORE_REMOVED = 2 **\",\n \"EVENT_JOB_REMOVED = 2 ** 10 EVENT_JOB_MODIFIED = 2 ** 11 EVENT_JOB_EXECUTED = 2\",\n \"** 14 EVENT_JOB_SUBMITTED = 2 ** 15 EVENT_JOB_MAX_INSTANCES = 2 ** 16 EVENT_ALL\",\n \"= 2 ** 13 EVENT_JOB_MISSED = 2 ** 14 EVENT_JOB_SUBMITTED = 2 **\",\n \"8 EVENT_JOB_ADDED = 2 ** 9 EVENT_JOB_REMOVED = 2 ** 10 EVENT_JOB_MODIFIED =\",\n \"** 1 EVENT_SCHEDULER_PAUSED = 2 ** 2 EVENT_SCHEDULER_RESUMED = 2 ** 3 EVENT_EXECUTOR_ADDED\",\n \"= 2 ** 10 EVENT_JOB_MODIFIED = 2 ** 11 EVENT_JOB_EXECUTED = 2 **\",\n \"(EVENT_SCHEDULER_STARTED | EVENT_SCHEDULER_SHUTDOWN | EVENT_SCHEDULER_PAUSED | EVENT_SCHEDULER_RESUMED | EVENT_EXECUTOR_ADDED | EVENT_EXECUTOR_REMOVED | EVENT_JOBSTORE_ADDED\",\n \"| EVENT_EXECUTOR_REMOVED | EVENT_JOBSTORE_ADDED | EVENT_JOBSTORE_REMOVED | EVENT_ALL_JOBS_REMOVED | EVENT_JOB_ADDED | EVENT_JOB_REMOVED |\"\n]","isConversational":false}}},{"rowIdx":1297,"cells":{"ngram":{"kind":"list like","value":["Unless required by applicable law or agreed to in writing, software # distributed","yield target.Extend('nrf52840dongle-all-clusters', board=NrfBoard.NRF52840DONGLE, app=NrfApp.ALL_CLUSTERS) yield target.Extend('nrf52840dongle-light', board=NrfBoard.NRF52840DONGLE, app=NrfApp.LIGHT) for target in targets: yield","target in builder.AllVariants(): if cross_compile and 'chip-tool' in target.name and 'arm64' in target.name","Handles conflict resolution between build variants and globbing whitelist targets. \"\"\" for target","that do not work for this target ok_variants = [ v for v","for o in subgroup]) if name not in self.glob_whitelist: if not variant_target.IsGlobBlacklisted: variant_target","yield target.Extend('androidstudio-arm-chip-tool', board=AndroidBoard.AndroidStudio_ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-arm64-chip-tool', board=AndroidBoard.AndroidStudio_ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x86-chip-tool', board=AndroidBoard.AndroidStudio_X86, app=AndroidApp.CHIP_TOOL) yield","target.Clone() for option in subgroup: variant_target = variant_target.Extend( option.name, **option.buildargs) # Only a","not forwarded to proto compiler. ' 'https://pigweed-review.googlesource.com/c/pigweed/pigweed/+/66760') yield rpc def AndroidTargets(): target =","accepted variants. Arguments are construction variants to BuildVariant. Example usage: builder.AppendVariant(name=\"ipv6only\", enable_ipv4=False) \"\"\"","of potential builds is exponential here. builder = VariantBuilder() builder.AppendVariant(name=\"no-ble\", enable_ble=False) builder.AppendVariant(name=\"no-wifi\", enable_wifi=False)","app=Cyw30739App.OTA_REQUESTOR).GlobBlacklist( \"Running out of XIP flash space\") yield Target('cyw30739-cyw930739m2evb_01-ota-requestor-no-progress-logging', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR, progress_logging=False)","= name self.validator = validator self.conflicts = conflicts self.buildargs = buildargs self.requires =","self.targets = targets[:] self.variants = [] self.glob_whitelist = [] def WhitelistVariantNameForGlob(self, name): \"\"\"","NOTE: The number of potential builds is exponential here. builder = VariantBuilder() builder.AppendVariant(name=\"no-ble\",","clone.glob_blacklist_reason: clone.glob_blacklist_reason += \", \" clone.glob_blacklist_reason += reason else: clone.glob_blacklist_reason = reason return","board=Efr32Board.BRD4304A).GlobBlacklist( 'only user requested') ] builder = VariantBuilder() for board_target in board_targets: builder.targets.append(board_target.Extend(","name: str, validator=AcceptAnyName(), conflicts: List[str] = [], requires: List[str] = [], **buildargs): self.name","app=MbedApp.SHELL)) for target in app_targets: yield target.Extend('release', profile=MbedProfile.RELEASE) yield target.Extend('develop', profile=MbedProfile.DEVELOP).GlobBlacklist( 'Compile only","import MbedApp, MbedBoard, MbedBuilder, MbedProfile from builders.nrf import NrfApp, NrfBoard, NrfConnectBuilder from builders.qpg","def IsGlobBlacklisted(self): return self.glob_blacklist_reason is not None @property def GlobBlacklistReason(self): return self.glob_blacklist_reason class","profile=MbedProfile.DEVELOP).GlobBlacklist( 'Compile only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') yield target.Extend('debug', profile=MbedProfile.DEBUG).GlobBlacklist( 'Compile","app_targets.append(target.Extend( 'ota-provider', app=HostApp.OTA_PROVIDER, enable_ble=False)) app_targets.append(target.Extend( 'ota-requestor', app=HostApp.OTA_REQUESTOR, enable_ble=False)) app_targets.append(target.Extend('python-bindings', app=HostApp.PYTHON_BINDINGS)) builder = VariantBuilder()","Target('esp32', Esp32Builder) yield esp32_target.Extend('m5stack-all-clusters', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS) yield esp32_target.Extend('m5stack-all-clusters-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield esp32_target.Extend('m5stack-all-clusters-rpc',","purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') def InfineonTargets(): target = Target('infineon', InfineonBuilder) yield target.Extend('p6-lock', board=InfineonBoard.P6BOARD,","app_targets.append(target.Extend('chip-tool', app=HostApp.CHIP_TOOL)) app_targets.append(target.Extend('thermostat', app=HostApp.THERMOSTAT)) app_targets.append(target.Extend('minmdns', app=HostApp.MIN_MDNS)) app_targets.append(target.Extend('light', app=HostApp.LIGHT)) app_targets.append(target.Extend('lock', app=HostApp.LOCK)) app_targets.append(target.Extend('shell', app=HostApp.SHELL)) app_targets.append(target.Extend(","IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or","[]): # note the clone in case the default arg is used self.targets","board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True, enable_ipv4=False) yield esp32_target.Extend('c3devkit-all-clusters', board=Esp32Board.C3DevKit, app=Esp32App.ALL_CLUSTERS) devkitc = esp32_target.Extend('devkitc', board=Esp32Board.DevKitC) yield","yield target.Extend('lock', app=NrfApp.LOCK) yield target.Extend('light', app=NrfApp.LIGHT) yield target.Extend('shell', app=NrfApp.SHELL) yield target.Extend('pump', app=NrfApp.PUMP) yield","or ('-python-bindings' in target.name) or ('nl-test-runner' in target.name): # Single-variant builds yield target","AmebaBuilder) yield ameba_target.Extend('amebad-all-clusters', board=AmebaBoard.AMEBAD, app=AmebaApp.ALL_CLUSTERS) yield ameba_target.Extend('amebad-light', board=AmebaBoard.AMEBAD, app=AmebaApp.LIGHT) yield ameba_target.Extend('amebad-pigweed', board=AmebaBoard.AMEBAD, app=AmebaApp.PIGWEED)","Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR, progress_logging=False) def QorvoTargets(): target = Target('qpg', QpgBuilder) yield target.Extend('lock', board=QpgBoard.QPG6105,","cc13x2x7_26x2x7Builder from builders.cyw30739 import Cyw30739App, Cyw30739Board, Cyw30739Builder from builders.efr32 import Efr32App, Efr32Board, Efr32Builder","clone = self.Clone() clone.name += \"-\" + suffix clone.create_kw_args.update(kargs) return clone def Create(self,","app=HostApp.ALL_CLUSTERS)) if (HostBoard.NATIVE.PlatformName() == 'darwin'): app_targets.append(target.Extend( 'chip-tool-darwin', app=HostApp.CHIP_TOOL_DARWIN)) app_targets.append(target.Extend('chip-tool', app=HostApp.CHIP_TOOL)) app_targets.append(target.Extend('thermostat', app=HostApp.THERMOSTAT)) app_targets.append(target.Extend('minmdns',","Target('tizen-arm', TizenBuilder, board=TizenBoard.ARM) builder.targets.append(target.Extend('light', app=TizenApp.LIGHT)) for target in builder.AllVariants(): yield target def Bl602Targets():","yield esp32_target.Extend('c3devkit-all-clusters', board=Esp32Board.C3DevKit, app=Esp32App.ALL_CLUSTERS) devkitc = esp32_target.Extend('devkitc', board=Esp32Board.DevKitC) yield devkitc.Extend('all-clusters', app=Esp32App.ALL_CLUSTERS) yield devkitc.Extend('all-clusters-ipv6only',","yield target.Extend('x64-chip-tool', board=AndroidBoard.X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x86-chip-tool', board=AndroidBoard.X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-test', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TEST) yield","board_targets = [ efr_target.Extend('brd4161a', board=Efr32Board.BRD4161A), efr_target.Extend('brd4163a', board=Efr32Board.BRD4163A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4164a', board=Efr32Board.BRD4164A).GlobBlacklist( 'only","target.name and 'arm64' in target.name and '-no-interactive' not in target.name: # Interactive builds","to use and what arguments are required to produce the specified build) \"\"\"","suffix clone.create_kw_args.update(kargs) return clone def Create(self, runner, repository_path: str, output_prefix: str, enable_flashbundle: bool):","board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x64-chip-tool', board=AndroidBoard.X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x86-chip-tool', board=AndroidBoard.X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-test', board=AndroidBoard.ARM64,","variants to BuildVariant. Example usage: builder.AppendVariant(name=\"ipv6only\", enable_ipv4=False) \"\"\" self.variants.append(BuildVariant(**args)) def AllVariants(self): \"\"\" Yields","target.Extend('androidstudio-arm64-chip-tool', board=AndroidBoard.AndroidStudio_ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x86-chip-tool', board=AndroidBoard.AndroidStudio_X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x64-chip-tool', board=AndroidBoard.AndroidStudio_X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tvserver',","for a, b in combinations(items, 2): if (a.name in b.conflicts) or (b.name in","only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') yield target.Extend('debug', profile=MbedProfile.DEBUG).GlobBlacklist( 'Compile only for","import InfineonApp, InfineonBoard, InfineonBuilder from builders.k32w import K32WApp, K32WBuilder from builders.mbed import MbedApp,","List[Target] = []): # note the clone in case the default arg is","o in subgroup]) if name not in self.glob_whitelist: if not variant_target.IsGlobBlacklisted: variant_target =","board_target.Extend('light', app=Efr32App.LIGHT)) builder.targets.append(board_target.Extend('lock', app=Efr32App.LOCK)) # Possible build variants. Note that number of potential","'all-clusters', app=HostApp.ALL_CLUSTERS)) if (HostBoard.NATIVE.PlatformName() == 'darwin'): app_targets.append(target.Extend( 'chip-tool-darwin', app=HostApp.CHIP_TOOL_DARWIN)) app_targets.append(target.Extend('chip-tool', app=HostApp.CHIP_TOOL)) app_targets.append(target.Extend('thermostat', app=HostApp.THERMOSTAT))","software # distributed under the License is distributed on an \"AS IS\" BASIS,","'linux') and (HostBoard.NATIVE.BoardName() != HostBoard.ARM64.BoardName()) if cross_compile: targets.append(target.Extend('arm64', board=HostBoard.ARM64)) app_targets = [] #","= VariantBuilder() for board_target in board_targets: builder.targets.append(board_target.Extend( 'window-covering', app=Efr32App.WINDOW_COVERING)) builder.targets.append(board_target.Extend( 'switch', app=Efr32App.SWITCH)) builder.targets.append(board_target.Extend(","enable_flashbundle: bool): builder = self.builder_class( repository_path, runner=runner, **self.create_kw_args) builder.target = self builder.identifier =","import IMXApp, IMXBuilder class Target: \"\"\"Represents a build target: Has a name identifier","is exponential here builder.AppendVariant(name=\"rpc\", validator=AcceptNameWithSubstrings( ['-light', '-lock']), enable_rpcs=True) builder.AppendVariant(name=\"with-ota-requestor\", enable_ota_requestor=True) builder.WhitelistVariantNameForGlob('rpc') for target","AllRequirementsMet(items: List[BuildVariant]) -> bool: \"\"\" Check that item.requires is satisfied for all items","# skip variants that do not work for this target ok_variants = [","clone of self.\"\"\" clone = Target(self.name, self.builder_class, **self.create_kw_args.copy()) clone.glob_blacklist_reason = self.glob_blacklist_reason return clone","builder.WhitelistVariantNameForGlob('no-interactive-ipv6only') builder.WhitelistVariantNameForGlob('ipv6only') for target in app_targets: if ('-rpc-console' in target.name) or ('-python-bindings' in","Example usage: builder.AppendVariant(name=\"ipv6only\", enable_ipv4=False) \"\"\" self.variants.append(BuildVariant(**args)) def AllVariants(self): \"\"\" Yields a list of","False return True class VariantBuilder: \"\"\"Handles creating multiple build variants based on a","targets.append(target.Extend('arm64', board=HostBoard.ARM64)) app_targets = [] # Don't cross compile some builds app_targets.append( target_native.Extend('rpc-console',","the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law","efr_target.Extend('brd4170a', board=Efr32Board.BRD4170A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4186a', board=Efr32Board.BRD4186A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4187a', board=Efr32Board.BRD4187A).GlobBlacklist( 'only","board=Efr32Board.BRD4164A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4166a', board=Efr32Board.BRD4166A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4170a', board=Efr32Board.BRD4170A).GlobBlacklist( 'only user","target.Extend('p6-light', board=InfineonBoard.P6BOARD, app=InfineonApp.LIGHT) def AmebaTargets(): ameba_target = Target('ameba', AmebaBuilder) yield ameba_target.Extend('amebad-all-clusters', board=AmebaBoard.AMEBAD, app=AmebaApp.ALL_CLUSTERS)","space\") yield Target('cyw30739-cyw930739m2evb_01-ota-requestor-no-progress-logging', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR, progress_logging=False) def QorvoTargets(): target = Target('qpg', QpgBuilder)","[ HostTargets(), Esp32Targets(), Efr32Targets(), NrfTargets(), AndroidTargets(), MbedTargets(), InfineonTargets(), AmebaTargets(), K32WTargets(), cc13x2x7_26x2x7Targets(), Cyw30739Targets(), QorvoTargets(),","board=NrfBoard.NRF52840DONGLE, app=NrfApp.LIGHT) for target in targets: yield target.Extend('all-clusters', app=NrfApp.ALL_CLUSTERS) yield target.Extend('lock', app=NrfApp.LOCK) yield","= [] self.glob_whitelist = [] def WhitelistVariantNameForGlob(self, name): \"\"\" Whitelist the specified variant","board=Efr32Board.BRD4186A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4187a', board=Efr32Board.BRD4187A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4304a', board=Efr32Board.BRD4304A).GlobBlacklist( 'only user","target.Extend('light', app=NrfApp.LIGHT) yield target.Extend('shell', app=NrfApp.SHELL) yield target.Extend('pump', app=NrfApp.PUMP) yield target.Extend('pump-controller', app=NrfApp.PUMP_CONTROLLER) rpc =","or (b.name in a.conflicts): return True return False def AllRequirementsMet(items: List[BuildVariant]) -> bool:","in rpc.name: rpc = rpc.GlobBlacklist( 'Compile failure due to pw_build args not forwarded","variant_target = variant_target.GlobBlacklist( 'Reduce default build variants') yield variant_target def HostTargets(): target =","every possible variant for variant_count in range(1, len(ok_variants) + 1): for subgroup in","in self.variants if v.validator.Accept(target.name)] # Build every possible variant for variant_count in range(1,","identifier plus parameters on how to build it (what builder class to use","import AndroidApp, AndroidBoard, AndroidBuilder from builders.cc13x2x7_26x2x7 import cc13x2x7_26x2x7App, cc13x2x7_26x2x7Builder from builders.cyw30739 import Cyw30739App,","VariantBuilder() # Possible build variants. Note that number of potential # builds is","self.builder_class( repository_path, runner=runner, **self.create_kw_args) builder.target = self builder.identifier = self.name builder.output_dir = os.path.join(output_prefix,","the License. import os from itertools import combinations from typing import List from","clone.glob_blacklist_reason = self.glob_blacklist_reason return clone def Extend(self, suffix, **kargs): \"\"\"Creates a clone of","board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LOCK) yield Target('cyw30739-cyw930739m2evb_01-ota-requestor', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR).GlobBlacklist( \"Running out of XIP flash space\")","CHIP Authors # # Licensed under the Apache License, Version 2.0 (the \"License\");","= []): # note the clone in case the default arg is used","yield target.Extend('light', app=NrfApp.LIGHT) yield target.Extend('shell', app=NrfApp.SHELL) yield target.Extend('pump', app=NrfApp.PUMP) yield target.Extend('pump-controller', app=NrfApp.PUMP_CONTROLLER) rpc","reason else: clone.glob_blacklist_reason = reason return clone @property def IsGlobBlacklisted(self): return self.glob_blacklist_reason is","['-chip-tool']), interactive_mode=False), builder.AppendVariant(name=\"ipv6only\", enable_ipv4=False), builder.AppendVariant(name=\"no-ble\", enable_ble=False), builder.AppendVariant(name=\"no-wifi\", enable_wifi=False), builder.AppendVariant(name=\"tsan\", conflicts=['asan'], use_tsan=True), builder.AppendVariant(name=\"asan\", conflicts=['tsan'],","board=Efr32Board.BRD4170A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4186a', board=Efr32Board.BRD4186A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4187a', board=Efr32Board.BRD4187A).GlobBlacklist( 'only user","app=HostApp.ADDRESS_RESOLVE) yield target_native.Extend('address-resolve-tool-clang', app=HostApp.ADDRESS_RESOLVE, use_clang=True).GlobBlacklist(\"Reduce default build variants\") yield target_native.Extend('address-resolve-tool-platform-mdns', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True).GlobBlacklist(\"Reduce default","\"\"\"Handles creating multiple build variants based on a starting target. \"\"\" def __init__(self,","= rpc.GlobBlacklist( 'Compile failure due to pw_build args not forwarded to proto compiler.","List[str] = [], **buildargs): self.name = name self.validator = validator self.conflicts = conflicts","enable_ipv4=False) yield esp32_target.Extend('c3devkit-all-clusters', board=Esp32Board.C3DevKit, app=Esp32App.ALL_CLUSTERS) devkitc = esp32_target.Extend('devkitc', board=Esp32Board.DevKitC) yield devkitc.Extend('all-clusters', app=Esp32App.ALL_CLUSTERS) yield","builder_class, **kwargs): self.name = name self.builder_class = builder_class self.glob_blacklist_reason = None self.create_kw_args =","builder.targets.append(board_target.Extend( 'unit-test', app=Efr32App.UNIT_TEST)) builder.targets.append( board_target.Extend('light', app=Efr32App.LIGHT)) builder.targets.append(board_target.Extend('lock', app=Efr32App.LOCK)) # Possible build variants. Note","target.Extend('chip-tool', app=IMXApp.CHIP_TOOL) yield target.Extend('lighting-app', app=IMXApp.LIGHT) yield target.Extend('thermostat', app=IMXApp.THERMOSTAT) yield target.Extend('all-clusters-app', app=IMXApp.ALL_CLUSTERS) yield target.Extend('ota-provider-app',","'unit-test', app=Efr32App.UNIT_TEST)) builder.targets.append( board_target.Extend('light', app=Efr32App.LIGHT)) builder.targets.append(board_target.Extend('lock', app=Efr32App.LOCK)) # Possible build variants. Note that","self.name builder.output_dir = os.path.join(output_prefix, self.name) builder.enable_flashbundle(enable_flashbundle) return builder def GlobBlacklist(self, reason): clone =","conflicts: List[str] = [], requires: List[str] = [], **buildargs): self.name = name self.validator","2021 Project CHIP Authors # # Licensed under the Apache License, Version 2.0","@property def IsGlobBlacklisted(self): return self.glob_blacklist_reason is not None @property def GlobBlacklistReason(self): return self.glob_blacklist_reason","specific language governing permissions and # limitations under the License. import os from","targets = [ target.Extend('CY8CPROTO_062_4343W', board=MbedBoard.CY8CPROTO_062_4343W), ] app_targets = [] for target in targets:","target.Extend('all-clusters-app-release', app=IMXApp.ALL_CLUSTERS, release=True) yield target.Extend('ota-provider-app-release', app=IMXApp.OTA_PROVIDER, release=True) ALL = [] target_generators = [","debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') yield target.Extend('debug', profile=MbedProfile.DEBUG).GlobBlacklist( 'Compile only for debugging purpose","str): return True class AcceptNameWithSubstrings: def __init__(self, substr: List[str]): self.substr = substr def","yield target_native.Extend('address-resolve-tool-platform-mdns-ipv6only', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True, enable_ipv4=False).GlobBlacklist(\"Reduce default build variants\") test_target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) for","class AcceptAnyName: def Accept(self, name: str): return True class AcceptNameWithSubstrings: def __init__(self, substr:","continue if not AllRequirementsMet(subgroup): continue # Target ready to be created - no","globbing. By default we do not want a 'build all' to select all","The number of potential builds is exponential here. builder = VariantBuilder() builder.AppendVariant(name=\"no-ble\", enable_ble=False)","in targets: app_targets.append(target.Extend('lock', app=MbedApp.LOCK)) app_targets.append(target.Extend('light', app=MbedApp.LIGHT)) app_targets.append(target.Extend( 'all-clusters', app=MbedApp.ALL_CLUSTERS)) app_targets.append(target.Extend('pigweed', app=MbedApp.PIGWEED)) app_targets.append(target.Extend('shell', app=MbedApp.SHELL))","self.glob_blacklist_reason class AcceptAnyName: def Accept(self, name: str): return True class AcceptNameWithSubstrings: def __init__(self,","not use this file except in compliance with the License. # You may","'Compile only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') yield target.Extend('debug', profile=MbedProfile.DEBUG).GlobBlacklist( 'Compile only","libreadline is not part of the default sysroot yield target.GlobBlacklist('Arm crosscompile does not","produce the specified build) \"\"\" def __init__(self, name, builder_class, **kwargs): self.name = name","from builders.esp32 import Esp32App, Esp32Board, Esp32Builder from builders.host import HostApp, HostBoard, HostBuilder from","name: str): for s in self.substr: if s in name: return True return","app=AndroidApp.CHIP_TOOL) yield target.Extend('x86-chip-tool', board=AndroidBoard.X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-test', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TEST) yield target.Extend('androidstudio-arm-chip-tool', board=AndroidBoard.AndroidStudio_ARM, app=AndroidApp.CHIP_TOOL)","board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LIGHT) yield Target('cyw30739-cyw930739m2evb_01-lock', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LOCK) yield Target('cyw30739-cyw930739m2evb_01-ota-requestor', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR).GlobBlacklist( \"Running","clone = Target(self.name, self.builder_class, **self.create_kw_args.copy()) clone.glob_blacklist_reason = self.glob_blacklist_reason return clone def Extend(self, suffix,","distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY","yield target_native.Extend('address-resolve-tool', app=HostApp.ADDRESS_RESOLVE) yield target_native.Extend('address-resolve-tool-clang', app=HostApp.ADDRESS_RESOLVE, use_clang=True).GlobBlacklist(\"Reduce default build variants\") yield target_native.Extend('address-resolve-tool-platform-mdns', app=HostApp.ADDRESS_RESOLVE,","BuildVariant: def __init__(self, name: str, validator=AcceptAnyName(), conflicts: List[str] = [], requires: List[str] =","Enable nrf52840dongle for all-clusters and lighting app only yield target.Extend('nrf52840dongle-all-clusters', board=NrfBoard.NRF52840DONGLE, app=NrfApp.ALL_CLUSTERS) yield","board=Esp32Board.QEMU, app=Esp32App.TESTS) def Efr32Targets(): efr_target = Target('efr32', Efr32Builder) board_targets = [ efr_target.Extend('brd4161a', board=Efr32Board.BRD4161A),","'https://pigweed-review.googlesource.com/c/pigweed/pigweed/+/66760') yield rpc def AndroidTargets(): target = Target('android', AndroidBuilder) yield target.Extend('arm-chip-tool', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TOOL)","yield devkitc.Extend('temperature-measurement-rpc', app=Esp32App.TEMPERATURE_MEASUREMENT, enable_rpcs=True) yield esp32_target.Extend('qemu-tests', board=Esp32Board.QEMU, app=Esp32App.TESTS) def Efr32Targets(): efr_target = Target('efr32',","build variants based on a starting target. \"\"\" def __init__(self, targets: List[Target] =","tokenizer=True, disable_ota=True, release=True) yield target.Extend('shell-release', app=K32WApp.SHELL, release=True) yield target.Extend('lock-release', app=K32WApp.LOCK, release=True) yield target.Extend('lock-low-power-release',","esp32_target.Extend('m5stack-all-clusters-rpc-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True, enable_ipv4=False) yield esp32_target.Extend('c3devkit-all-clusters', board=Esp32Board.C3DevKit, app=Esp32App.ALL_CLUSTERS) devkitc = esp32_target.Extend('devkitc', board=Esp32Board.DevKitC)","agreed to in writing, software # distributed under the License is distributed on","AndroidBoard, AndroidBuilder from builders.cc13x2x7_26x2x7 import cc13x2x7_26x2x7App, cc13x2x7_26x2x7Builder from builders.cyw30739 import Cyw30739App, Cyw30739Board, Cyw30739Builder","= set([item.name for item in items]) for item in items: for requirement in","target = Target('cc13x2x7_26x2x7', cc13x2x7_26x2x7Builder) yield target.Extend('lock-ftd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=True) yield target.Extend('lock-mtd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=False) yield","in subgroup]) if name not in self.glob_whitelist: if not variant_target.IsGlobBlacklisted: variant_target = variant_target.GlobBlacklist(","if clone.glob_blacklist_reason: clone.glob_blacklist_reason += \", \" clone.glob_blacklist_reason += reason else: clone.glob_blacklist_reason = reason","yield target.Extend('debug', profile=MbedProfile.DEBUG).GlobBlacklist( 'Compile only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') def InfineonTargets():","Arguments: suffix: appended with a \"-\" as separator to the clone name **kargs:","Single-variant builds yield target else: builder.targets.append(target) for target in builder.AllVariants(): if cross_compile and","= self.glob_blacklist_reason return clone def Extend(self, suffix, **kargs): \"\"\"Creates a clone of the","target in app_targets: if ('-rpc-console' in target.name) or ('-python-bindings' in target.name) or ('nl-test-runner'","= Target('tizen-arm', TizenBuilder, board=TizenBoard.ARM) builder.targets.append(target.Extend('light', app=TizenApp.LIGHT)) for target in builder.AllVariants(): yield target def","builder.AppendVariant(name=\"tsan\", conflicts=['asan'], use_tsan=True), builder.AppendVariant(name=\"asan\", conflicts=['tsan'], use_asan=True), builder.AppendVariant(name=\"libfuzzer\", requires=[ \"clang\"], use_libfuzzer=True), builder.AppendVariant(name=\"clang\", use_clang=True), builder.AppendVariant(name=\"test\",","target_native = target.Extend(HostBoard.NATIVE.BoardName(), board=HostBoard.NATIVE) targets = [target_native] # x64 linux supports cross compile","only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') def InfineonTargets(): target = Target('infineon', InfineonBuilder)","cross_compile = (HostBoard.NATIVE.PlatformName() == 'linux') and (HostBoard.NATIVE.BoardName() != HostBoard.ARM64.BoardName()) if cross_compile: targets.append(target.Extend('arm64', board=HostBoard.ARM64))","Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LIGHT) yield Target('cyw30739-cyw930739m2evb_01-lock', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LOCK) yield Target('cyw30739-cyw930739m2evb_01-ota-requestor', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR).GlobBlacklist(","[HostBoard.NATIVE, HostBoard.FAKE]: yield test_target.Extend(board.BoardName() + '-tests', board=board, app=HostApp.TESTS) def Esp32Targets(): esp32_target = Target('esp32',","kwargs def Clone(self): \"\"\"Creates a clone of self.\"\"\" clone = Target(self.name, self.builder_class, **self.create_kw_args.copy())","in board_targets: builder.targets.append(board_target.Extend( 'window-covering', app=Efr32App.WINDOW_COVERING)) builder.targets.append(board_target.Extend( 'switch', app=Efr32App.SWITCH)) builder.targets.append(board_target.Extend( 'unit-test', app=Efr32App.UNIT_TEST)) builder.targets.append( board_target.Extend('light',","enable_rpcs=True) yield esp32_target.Extend('m5stack-all-clusters-rpc-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True, enable_ipv4=False) yield esp32_target.Extend('c3devkit-all-clusters', board=Esp32Board.C3DevKit, app=Esp32App.ALL_CLUSTERS) devkitc =","+= reason else: clone.glob_blacklist_reason = reason return clone @property def IsGlobBlacklisted(self): return self.glob_blacklist_reason","app=Esp32App.ALL_CLUSTERS) devkitc = esp32_target.Extend('devkitc', board=Esp32Board.DevKitC) yield devkitc.Extend('all-clusters', app=Esp32App.ALL_CLUSTERS) yield devkitc.Extend('all-clusters-ipv6only', app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield","yield devkitc.Extend('bridge', app=Esp32App.BRIDGE) yield devkitc.Extend('temperature-measurement', app=Esp32App.TEMPERATURE_MEASUREMENT) yield devkitc.Extend('temperature-measurement-rpc', app=Esp32App.TEMPERATURE_MEASUREMENT, enable_rpcs=True) yield esp32_target.Extend('qemu-tests', board=Esp32Board.QEMU,","target.Extend('pump-controller', app=cc13x2x7_26x2x7App.PUMP_CONTROLLER) yield target.Extend('all-clusters', app=cc13x2x7_26x2x7App.ALL_CLUSTERS) yield target.Extend('shell', app=cc13x2x7_26x2x7App.SHELL) def Cyw30739Targets(): yield Target('cyw30739-cyw930739m2evb_01-light', Cyw30739Builder,","to be allowed for globbing. By default we do not want a 'build","Clone(self): \"\"\"Creates a clone of self.\"\"\" clone = Target(self.name, self.builder_class, **self.create_kw_args.copy()) clone.glob_blacklist_reason =","of self.\"\"\" clone = Target(self.name, self.builder_class, **self.create_kw_args.copy()) clone.glob_blacklist_reason = self.glob_blacklist_reason return clone def","its build parameters. Arguments: suffix: appended with a \"-\" as separator to the","target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) target_native = target.Extend(HostBoard.NATIVE.BoardName(), board=HostBoard.NATIVE) targets = [target_native] # x64","for all items in the given list \"\"\" available = set([item.name for item","not work for this target ok_variants = [ v for v in self.variants","a name identifier plus parameters on how to build it (what builder class","variants for the given targets. Handles conflict resolution between build variants and globbing","board=QpgBoard.QPG6105, app=QpgApp.LIGHT) yield target.Extend('shell', board=QpgBoard.QPG6105, app=QpgApp.SHELL) yield target.Extend('persistent-storage', board=QpgBoard.QPG6105, app=QpgApp.PERSISTENT_STORAGE) def TizenTargets(): #","app=K32WApp.LOCK, release=True) yield target.Extend('lock-low-power-release', app=K32WApp.LOCK, low_power=True, release=True).GlobBlacklist(\"Only on demand build\") def cc13x2x7_26x2x7Targets(): target","Yields a list of acceptable variants for the given targets. Handles conflict resolution","Cyw30739Builder from builders.efr32 import Efr32App, Efr32Board, Efr32Builder from builders.esp32 import Esp32App, Esp32Board, Esp32Builder","board=QpgBoard.QPG6105, app=QpgApp.SHELL) yield target.Extend('persistent-storage', board=QpgBoard.QPG6105, app=QpgApp.PERSISTENT_STORAGE) def TizenTargets(): # Possible build variants. #","# Copyright (c) 2021 Project CHIP Authors # # Licensed under the Apache","to in writing, software # distributed under the License is distributed on an","rpc.name: rpc = rpc.GlobBlacklist( 'Compile failure due to pw_build args not forwarded to","is used self.targets = targets[:] self.variants = [] self.glob_whitelist = [] def WhitelistVariantNameForGlob(self,","- ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') yield target.Extend('debug', profile=MbedProfile.DEBUG).GlobBlacklist( 'Compile only for debugging purpose - '","implied. # See the License for the specific language governing permissions and #","default arg is used self.targets = targets[:] self.variants = [] self.glob_whitelist = []","enable_rpcs=True, enable_ipv4=False) yield esp32_target.Extend('c3devkit-all-clusters', board=Esp32Board.C3DevKit, app=Esp32App.ALL_CLUSTERS) devkitc = esp32_target.Extend('devkitc', board=Esp32Board.DevKitC) yield devkitc.Extend('all-clusters', app=Esp32App.ALL_CLUSTERS)","rpc = target.Extend('light-rpc', app=NrfApp.LIGHT, enable_rpcs=True) if '-nrf5340dk-' in rpc.name: rpc = rpc.GlobBlacklist( 'Compile","from builders.infineon import InfineonApp, InfineonBoard, InfineonBuilder from builders.k32w import K32WApp, K32WBuilder from builders.mbed","(b.name in a.conflicts): return True return False def AllRequirementsMet(items: List[BuildVariant]) -> bool: \"\"\"","== 'darwin'): app_targets.append(target.Extend( 'chip-tool-darwin', app=HostApp.CHIP_TOOL_DARWIN)) app_targets.append(target.Extend('chip-tool', app=HostApp.CHIP_TOOL)) app_targets.append(target.Extend('thermostat', app=HostApp.THERMOSTAT)) app_targets.append(target.Extend('minmdns', app=HostApp.MIN_MDNS)) app_targets.append(target.Extend('light', app=HostApp.LIGHT))","Note that number of potential # builds is exponential here builder.AppendVariant(name=\"same-event-loop\", validator=AcceptNameWithSubstrings( ['-chip-tool',","= [] target_generators = [ HostTargets(), Esp32Targets(), Efr32Targets(), NrfTargets(), AndroidTargets(), MbedTargets(), InfineonTargets(), AmebaTargets(),","available: return False return True class VariantBuilder: \"\"\"Handles creating multiple build variants based","self.glob_blacklist_reason is not None @property def GlobBlacklistReason(self): return self.glob_blacklist_reason class AcceptAnyName: def Accept(self,","target.Extend('pump', app=NrfApp.PUMP) yield target.Extend('pump-controller', app=NrfApp.PUMP_CONTROLLER) rpc = target.Extend('light-rpc', app=NrfApp.LIGHT, enable_rpcs=True) if '-nrf5340dk-' in","Target(self.name, self.builder_class, **self.create_kw_args.copy()) clone.glob_blacklist_reason = self.glob_blacklist_reason return clone def Extend(self, suffix, **kargs): \"\"\"Creates","board=AndroidBoard.ARM, app=AndroidApp.CHIP_TV_CASTING_APP) def MbedTargets(): target = Target('mbed', MbedBuilder) targets = [ target.Extend('CY8CPROTO_062_4343W', board=MbedBoard.CY8CPROTO_062_4343W),","import cc13x2x7_26x2x7App, cc13x2x7_26x2x7Builder from builders.cyw30739 import Cyw30739App, Cyw30739Board, Cyw30739Builder from builders.efr32 import Efr32App,","validator=AcceptNameWithSubstrings( ['-chip-tool', '-chip-tool-darwin']), separate_event_loop=False), builder.AppendVariant(name=\"no-interactive\", validator=AcceptNameWithSubstrings( ['-chip-tool']), interactive_mode=False), builder.AppendVariant(name=\"ipv6only\", enable_ipv4=False), builder.AppendVariant(name=\"no-ble\", enable_ble=False), builder.AppendVariant(name=\"no-wifi\",","target # Without extra build variants yield target_native.Extend('chip-cert', app=HostApp.CERT_TOOL) yield target_native.Extend('address-resolve-tool', app=HostApp.ADDRESS_RESOLVE) yield","to accepted variants. Arguments are construction variants to BuildVariant. Example usage: builder.AppendVariant(name=\"ipv6only\", enable_ipv4=False)","validator self.conflicts = conflicts self.buildargs = buildargs self.requires = requires def HasConflicts(items: List[BuildVariant])","MbedBuilder) targets = [ target.Extend('CY8CPROTO_062_4343W', board=MbedBoard.CY8CPROTO_062_4343W), ] app_targets = [] for target in","\"\"\"Represents a build target: Has a name identifier plus parameters on how to","Apache License, Version 2.0 (the \"License\"); # you may not use this file","compile some builds app_targets.append( target_native.Extend('rpc-console', app=HostApp.RPC_CONSOLE)) app_targets.append( target_native.Extend('tv-app', app=HostApp.TV_APP)) app_targets.append( target_native.Extend('tv-casting-app', app=HostApp.TV_CASTING_APP)) app_targets.append(","app=IMXApp.ALL_CLUSTERS) yield target.Extend('ota-provider-app', app=IMXApp.OTA_PROVIDER) yield target.Extend('chip-tool-release', app=IMXApp.CHIP_TOOL, release=True) yield target.Extend('lighting-app-release', app=IMXApp.LIGHT, release=True) yield","board=AndroidBoard.AndroidStudio_ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-arm64-chip-tool', board=AndroidBoard.AndroidStudio_ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x86-chip-tool', board=AndroidBoard.AndroidStudio_X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x64-chip-tool', board=AndroidBoard.AndroidStudio_X64,","app=MbedApp.PIGWEED)) app_targets.append(target.Extend('shell', app=MbedApp.SHELL)) for target in app_targets: yield target.Extend('release', profile=MbedProfile.RELEASE) yield target.Extend('develop', profile=MbedProfile.DEVELOP).GlobBlacklist(","VariantBuilder() builder.AppendVariant(name=\"no-ble\", enable_ble=False) builder.AppendVariant(name=\"no-wifi\", enable_wifi=False) builder.AppendVariant(name=\"asan\", use_asan=True) target = Target('tizen-arm', TizenBuilder, board=TizenBoard.ARM) builder.targets.append(target.Extend('light',","clone.name += \"-\" + suffix clone.create_kw_args.update(kargs) return clone def Create(self, runner, repository_path: str,","the new build variant \"\"\" clone = self.Clone() clone.name += \"-\" + suffix","yield target.Extend('x86-chip-tvserver', board=AndroidBoard.X86, app=AndroidApp.CHIP_TVServer) yield target.Extend('x64-chip-tvserver', board=AndroidBoard.X64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm64-chip-tv-casting-app', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TV_CASTING_APP) yield","AmebaBuilder from builders.android import AndroidApp, AndroidBoard, AndroidBuilder from builders.cc13x2x7_26x2x7 import cc13x2x7_26x2x7App, cc13x2x7_26x2x7Builder from","x64 linux supports cross compile cross_compile = (HostBoard.NATIVE.PlatformName() == 'linux') and (HostBoard.NATIVE.BoardName() !=","Bl602Targets(): target = Target('bl602', Bl602Builder) yield target.Extend('light', board=Bl602Board.BL602BOARD, app=Bl602App.LIGHT) def IMXTargets(): target =","from builders.k32w import K32WApp, K32WBuilder from builders.mbed import MbedApp, MbedBoard, MbedBuilder, MbedProfile from","requested') ] builder = VariantBuilder() for board_target in board_targets: builder.targets.append(board_target.Extend( 'window-covering', app=Efr32App.WINDOW_COVERING)) builder.targets.append(board_target.Extend(","# See the License for the specific language governing permissions and # limitations","the License is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR","# Only a few are whitelisted for globs name = '-'.join([o.name for o","Target('mbed', MbedBuilder) targets = [ target.Extend('CY8CPROTO_062_4343W', board=MbedBoard.CY8CPROTO_062_4343W), ] app_targets = [] for target","release=True) yield target.Extend('all-clusters-app-release', app=IMXApp.ALL_CLUSTERS, release=True) yield target.Extend('ota-provider-app-release', app=IMXApp.OTA_PROVIDER, release=True) ALL = [] target_generators","app=NrfApp.LOCK) yield target.Extend('light', app=NrfApp.LIGHT) yield target.Extend('shell', app=NrfApp.SHELL) yield target.Extend('pump', app=NrfApp.PUMP) yield target.Extend('pump-controller', app=NrfApp.PUMP_CONTROLLER)","object extending its build parameters. Arguments: suffix: appended with a \"-\" as separator","by default on arm cross compiles # because libreadline is not part of","Simple targets added one by one ALL.append(Target('telink-tlsr9518adk80d-light', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.LIGHT)) ALL.append(Target('telink-tlsr9518adk80d-light-switch', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D,","app_targets.append(target.Extend('light', app=MbedApp.LIGHT)) app_targets.append(target.Extend( 'all-clusters', app=MbedApp.ALL_CLUSTERS)) app_targets.append(target.Extend('pigweed', app=MbedApp.PIGWEED)) app_targets.append(target.Extend('shell', app=MbedApp.SHELL)) for target in app_targets:","HostApp, HostBoard, HostBuilder from builders.infineon import InfineonApp, InfineonBoard, InfineonBuilder from builders.k32w import K32WApp,","target_native.Extend('address-resolve-tool-clang', app=HostApp.ADDRESS_RESOLVE, use_clang=True).GlobBlacklist(\"Reduce default build variants\") yield target_native.Extend('address-resolve-tool-platform-mdns', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True).GlobBlacklist(\"Reduce default build variants\")","board=TizenBoard.ARM) builder.targets.append(target.Extend('light', app=TizenApp.LIGHT)) for target in builder.AllVariants(): yield target def Bl602Targets(): target =","the Apache License, Version 2.0 (the \"License\"); # you may not use this","current object extending its build parameters. Arguments: suffix: appended with a \"-\" as","you may not use this file except in compliance with the License. #","yield target_native.Extend('address-resolve-tool-clang', app=HostApp.ADDRESS_RESOLVE, use_clang=True).GlobBlacklist(\"Reduce default build variants\") yield target_native.Extend('address-resolve-tool-platform-mdns', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True).GlobBlacklist(\"Reduce default build","board=AndroidBoard.X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-test', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TEST) yield target.Extend('androidstudio-arm-chip-tool', board=AndroidBoard.AndroidStudio_ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-arm64-chip-tool', board=AndroidBoard.AndroidStudio_ARM64,","True class AcceptNameWithSubstrings: def __init__(self, substr: List[str]): self.substr = substr def Accept(self, name:","target.Extend('nrf5340dk', board=NrfBoard.NRF5340DK), target.Extend('nrf52840dk', board=NrfBoard.NRF52840DK), ] # Enable nrf52840dongle for all-clusters and lighting app","-> bool: for a, b in combinations(items, 2): if (a.name in b.conflicts) or","# Target ready to be created - no conflicts variant_target = target.Clone() for","(HostBoard.NATIVE.PlatformName() == 'darwin'): app_targets.append(target.Extend( 'chip-tool-darwin', app=HostApp.CHIP_TOOL_DARWIN)) app_targets.append(target.Extend('chip-tool', app=HostApp.CHIP_TOOL)) app_targets.append(target.Extend('thermostat', app=HostApp.THERMOSTAT)) app_targets.append(target.Extend('minmdns', app=HostApp.MIN_MDNS)) app_targets.append(target.Extend('light',","efr_target.Extend('brd4161a', board=Efr32Board.BRD4161A), efr_target.Extend('brd4163a', board=Efr32Board.BRD4163A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4164a', board=Efr32Board.BRD4164A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4166a',","Esp32Targets(): esp32_target = Target('esp32', Esp32Builder) yield esp32_target.Extend('m5stack-all-clusters', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS) yield esp32_target.Extend('m5stack-all-clusters-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS,","[target_native] # x64 linux supports cross compile cross_compile = (HostBoard.NATIVE.PlatformName() == 'linux') and","def MbedTargets(): target = Target('mbed', MbedBuilder) targets = [ target.Extend('CY8CPROTO_062_4343W', board=MbedBoard.CY8CPROTO_062_4343W), ] app_targets","targets: app_targets.append(target.Extend( 'all-clusters', app=HostApp.ALL_CLUSTERS)) if (HostBoard.NATIVE.PlatformName() == 'darwin'): app_targets.append(target.Extend( 'chip-tool-darwin', app=HostApp.CHIP_TOOL_DARWIN)) app_targets.append(target.Extend('chip-tool', app=HostApp.CHIP_TOOL))","construction variants to BuildVariant. Example usage: builder.AppendVariant(name=\"ipv6only\", enable_ipv4=False) \"\"\" self.variants.append(BuildVariant(**args)) def AllVariants(self): \"\"\"","v.validator.Accept(target.name)] # Build every possible variant for variant_count in range(1, len(ok_variants) + 1):","app=HostApp.LOCK)) app_targets.append(target.Extend('shell', app=HostApp.SHELL)) app_targets.append(target.Extend( 'ota-provider', app=HostApp.OTA_PROVIDER, enable_ble=False)) app_targets.append(target.Extend( 'ota-requestor', app=HostApp.OTA_REQUESTOR, enable_ble=False)) app_targets.append(target.Extend('python-bindings', app=HostApp.PYTHON_BINDINGS))","clone in case the default arg is used self.targets = targets[:] self.variants =","enable_wifi=False), builder.AppendVariant(name=\"tsan\", conflicts=['asan'], use_tsan=True), builder.AppendVariant(name=\"asan\", conflicts=['tsan'], use_asan=True), builder.AppendVariant(name=\"libfuzzer\", requires=[ \"clang\"], use_libfuzzer=True), builder.AppendVariant(name=\"clang\", use_clang=True),","# Licensed under the Apache License, Version 2.0 (the \"License\"); # you may","yield devkitc.Extend('lock', app=Esp32App.LOCK) yield devkitc.Extend('bridge', app=Esp32App.BRIDGE) yield devkitc.Extend('temperature-measurement', app=Esp32App.TEMPERATURE_MEASUREMENT) yield devkitc.Extend('temperature-measurement-rpc', app=Esp32App.TEMPERATURE_MEASUREMENT, enable_rpcs=True)","app=AmebaApp.ALL_CLUSTERS) yield ameba_target.Extend('amebad-light', board=AmebaBoard.AMEBAD, app=AmebaApp.LIGHT) yield ameba_target.Extend('amebad-pigweed', board=AmebaBoard.AMEBAD, app=AmebaApp.PIGWEED) def K32WTargets(): target =","app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield esp32_target.Extend('m5stack-all-clusters-rpc', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True) yield esp32_target.Extend('m5stack-all-clusters-rpc-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True, enable_ipv4=False)","board=AmebaBoard.AMEBAD, app=AmebaApp.PIGWEED) def K32WTargets(): target = Target('k32w', K32WBuilder) yield target.Extend('light-ota-se', app=K32WApp.LIGHT, release=True, disable_ble=True,","interactive_mode=False), builder.AppendVariant(name=\"ipv6only\", enable_ipv4=False), builder.AppendVariant(name=\"no-ble\", enable_ble=False), builder.AppendVariant(name=\"no-wifi\", enable_wifi=False), builder.AppendVariant(name=\"tsan\", conflicts=['asan'], use_tsan=True), builder.AppendVariant(name=\"asan\", conflicts=['tsan'], use_asan=True),","devkitc.Extend('light', app=Esp32App.LIGHT) yield devkitc.Extend('lock', app=Esp32App.LOCK) yield devkitc.Extend('bridge', app=Esp32App.BRIDGE) yield devkitc.Extend('temperature-measurement', app=Esp32App.TEMPERATURE_MEASUREMENT) yield devkitc.Extend('temperature-measurement-rpc',","build variants. # NOTE: The number of potential builds is exponential here. builder","of potential # builds is exponential here builder.AppendVariant(name=\"same-event-loop\", validator=AcceptNameWithSubstrings( ['-chip-tool', '-chip-tool-darwin']), separate_event_loop=False), builder.AppendVariant(name=\"no-interactive\",","build parameters. Arguments: suffix: appended with a \"-\" as separator to the clone","app=QpgApp.LOCK) yield target.Extend('light', board=QpgBoard.QPG6105, app=QpgApp.LIGHT) yield target.Extend('shell', board=QpgBoard.QPG6105, app=QpgApp.SHELL) yield target.Extend('persistent-storage', board=QpgBoard.QPG6105, app=QpgApp.PERSISTENT_STORAGE)","builder.output_dir = os.path.join(output_prefix, self.name) builder.enable_flashbundle(enable_flashbundle) return builder def GlobBlacklist(self, reason): clone = self.Clone()","yield target.Extend('thermostat-release', app=IMXApp.THERMOSTAT, release=True) yield target.Extend('all-clusters-app-release', app=IMXApp.ALL_CLUSTERS, release=True) yield target.Extend('ota-provider-app-release', app=IMXApp.OTA_PROVIDER, release=True) ALL","app=Efr32App.WINDOW_COVERING)) builder.targets.append(board_target.Extend( 'switch', app=Efr32App.SWITCH)) builder.targets.append(board_target.Extend( 'unit-test', app=Efr32App.UNIT_TEST)) builder.targets.append( board_target.Extend('light', app=Efr32App.LIGHT)) builder.targets.append(board_target.Extend('lock', app=Efr32App.LOCK)) #","self.name = name self.validator = validator self.conflicts = conflicts self.buildargs = buildargs self.requires","# builds is exponential here builder.AppendVariant(name=\"same-event-loop\", validator=AcceptNameWithSubstrings( ['-chip-tool', '-chip-tool-darwin']), separate_event_loop=False), builder.AppendVariant(name=\"no-interactive\", validator=AcceptNameWithSubstrings( ['-chip-tool']),","target.Extend('arm64-chip-tv-casting-app', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TV_CASTING_APP) yield target.Extend('arm-chip-tv-casting-app', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TV_CASTING_APP) def MbedTargets(): target = Target('mbed', MbedBuilder)","if cross_compile and 'chip-tool' in target.name and 'arm64' in target.name and '-no-interactive' not","a 'build all' to select all variants, so variants are generally glob-blacklisted. \"\"\"","builder.AppendVariant(name=\"no-ble\", enable_ble=False), builder.AppendVariant(name=\"no-wifi\", enable_wifi=False), builder.AppendVariant(name=\"tsan\", conflicts=['asan'], use_tsan=True), builder.AppendVariant(name=\"asan\", conflicts=['tsan'], use_asan=True), builder.AppendVariant(name=\"libfuzzer\", requires=[ \"clang\"],","of potential # builds is exponential here builder.AppendVariant(name=\"rpc\", validator=AcceptNameWithSubstrings( ['-light', '-lock']), enable_rpcs=True) builder.AppendVariant(name=\"with-ota-requestor\",","builder.targets.append(target.Extend('light', app=TizenApp.LIGHT)) for target in builder.AllVariants(): yield target def Bl602Targets(): target = Target('bl602',","enable_ble=False)) app_targets.append(target.Extend( 'ota-requestor', app=HostApp.OTA_REQUESTOR, enable_ble=False)) app_targets.append(target.Extend('python-bindings', app=HostApp.PYTHON_BINDINGS)) builder = VariantBuilder() # Possible build","(HostBoard.NATIVE.BoardName() != HostBoard.ARM64.BoardName()) if cross_compile: targets.append(target.Extend('arm64', board=HostBoard.ARM64)) app_targets = [] # Don't cross","app=HostApp.RPC_CONSOLE)) app_targets.append( target_native.Extend('tv-app', app=HostApp.TV_APP)) app_targets.append( target_native.Extend('tv-casting-app', app=HostApp.TV_CASTING_APP)) app_targets.append( target_native.Extend('nl-test-runner', app=HostApp.NL_TEST_RUNNER)) for target in","def Efr32Targets(): efr_target = Target('efr32', Efr32Builder) board_targets = [ efr_target.Extend('brd4161a', board=Efr32Board.BRD4161A), efr_target.Extend('brd4163a', board=Efr32Board.BRD4163A).GlobBlacklist(","app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x86-chip-tool', board=AndroidBoard.AndroidStudio_X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x64-chip-tool', board=AndroidBoard.AndroidStudio_X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tvserver', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TVServer)","user requested'), efr_target.Extend('brd4166a', board=Efr32Board.BRD4166A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4170a', board=Efr32Board.BRD4170A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4186a',","select all variants, so variants are generally glob-blacklisted. \"\"\" self.glob_whitelist.append(name) def AppendVariant(self, **args):","builders.host import HostApp, HostBoard, HostBuilder from builders.infineon import InfineonApp, InfineonBoard, InfineonBuilder from builders.k32w","__init__(self, substr: List[str]): self.substr = substr def Accept(self, name: str): for s in","are generally glob-blacklisted. \"\"\" self.glob_whitelist.append(name) def AppendVariant(self, **args): \"\"\" Add another variant to","target.Extend('androidstudio-x86-chip-tool', board=AndroidBoard.AndroidStudio_X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x64-chip-tool', board=AndroidBoard.AndroidStudio_X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tvserver', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm-chip-tvserver',","self.name) builder.enable_flashbundle(enable_flashbundle) return builder def GlobBlacklist(self, reason): clone = self.Clone() if clone.glob_blacklist_reason: clone.glob_blacklist_reason","= target.Clone() for option in subgroup: variant_target = variant_target.Extend( option.name, **option.buildargs) # Only","app=Esp32App.TEMPERATURE_MEASUREMENT, enable_rpcs=True) yield esp32_target.Extend('qemu-tests', board=Esp32Board.QEMU, app=Esp32App.TESTS) def Efr32Targets(): efr_target = Target('efr32', Efr32Builder) board_targets","- ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') def InfineonTargets(): target = Target('infineon', InfineonBuilder) yield target.Extend('p6-lock', board=InfineonBoard.P6BOARD, app=InfineonApp.LOCK)","in combinations(items, 2): if (a.name in b.conflicts) or (b.name in a.conflicts): return True","and globbing whitelist targets. \"\"\" for target in self.targets: yield target # skip","default we do not want a 'build all' to select all variants, so","devkitc.Extend('all-clusters', app=Esp32App.ALL_CLUSTERS) yield devkitc.Extend('all-clusters-ipv6only', app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield devkitc.Extend('shell', app=Esp32App.SHELL) yield devkitc.Extend('light', app=Esp32App.LIGHT) yield","= Target('ameba', AmebaBuilder) yield ameba_target.Extend('amebad-all-clusters', board=AmebaBoard.AMEBAD, app=AmebaApp.ALL_CLUSTERS) yield ameba_target.Extend('amebad-light', board=AmebaBoard.AMEBAD, app=AmebaApp.LIGHT) yield ameba_target.Extend('amebad-pigweed',","app=Esp32App.TEMPERATURE_MEASUREMENT) yield devkitc.Extend('temperature-measurement-rpc', app=Esp32App.TEMPERATURE_MEASUREMENT, enable_rpcs=True) yield esp32_target.Extend('qemu-tests', board=Esp32Board.QEMU, app=Esp32App.TESTS) def Efr32Targets(): efr_target =","option.name, **option.buildargs) # Only a few are whitelisted for globs name = '-'.join([o.name","board in [HostBoard.NATIVE, HostBoard.FAKE]: yield test_target.Extend(board.BoardName() + '-tests', board=board, app=HostApp.TESTS) def Esp32Targets(): esp32_target","target.Extend('x86-chip-tvserver', board=AndroidBoard.X86, app=AndroidApp.CHIP_TVServer) yield target.Extend('x64-chip-tvserver', board=AndroidBoard.X64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm64-chip-tv-casting-app', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TV_CASTING_APP) yield target.Extend('arm-chip-tv-casting-app',","Efr32Builder) board_targets = [ efr_target.Extend('brd4161a', board=Efr32Board.BRD4161A), efr_target.Extend('brd4163a', board=Efr32Board.BRD4163A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4164a', board=Efr32Board.BRD4164A).GlobBlacklist(","'only user requested'), efr_target.Extend('brd4166a', board=Efr32Board.BRD4166A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4170a', board=Efr32Board.BRD4170A).GlobBlacklist( 'only user requested'),","requested'), efr_target.Extend('brd4304a', board=Efr32Board.BRD4304A).GlobBlacklist( 'only user requested') ] builder = VariantBuilder() for board_target in","app=HostApp.THERMOSTAT)) app_targets.append(target.Extend('minmdns', app=HostApp.MIN_MDNS)) app_targets.append(target.Extend('light', app=HostApp.LIGHT)) app_targets.append(target.Extend('lock', app=HostApp.LOCK)) app_targets.append(target.Extend('shell', app=HostApp.SHELL)) app_targets.append(target.Extend( 'ota-provider', app=HostApp.OTA_PROVIDER, enable_ble=False))","'ota-requestor', app=HostApp.OTA_REQUESTOR, enable_ble=False)) app_targets.append(target.Extend('python-bindings', app=HostApp.PYTHON_BINDINGS)) builder = VariantBuilder() # Possible build variants. Note","NrfConnectBuilder) yield target.Extend('native-posix-64-tests', board=NrfBoard.NATIVE_POSIX_64, app=NrfApp.UNIT_TESTS) targets = [ target.Extend('nrf5340dk', board=NrfBoard.NRF5340DK), target.Extend('nrf52840dk', board=NrfBoard.NRF52840DK), ]","app=HostApp.NL_TEST_RUNNER)) for target in targets: app_targets.append(target.Extend( 'all-clusters', app=HostApp.ALL_CLUSTERS)) if (HostBoard.NATIVE.PlatformName() == 'darwin'): app_targets.append(target.Extend(","app_targets.append(target.Extend('thermostat', app=HostApp.THERMOSTAT)) app_targets.append(target.Extend('minmdns', app=HostApp.MIN_MDNS)) app_targets.append(target.Extend('light', app=HostApp.LIGHT)) app_targets.append(target.Extend('lock', app=HostApp.LOCK)) app_targets.append(target.Extend('shell', app=HostApp.SHELL)) app_targets.append(target.Extend( 'ota-provider', app=HostApp.OTA_PROVIDER,","return True return False def AllRequirementsMet(items: List[BuildVariant]) -> bool: \"\"\" Check that item.requires","List from builders.ameba import AmebaApp, AmebaBoard, AmebaBuilder from builders.android import AndroidApp, AndroidBoard, AndroidBuilder","are construction variants to BuildVariant. Example usage: builder.AppendVariant(name=\"ipv6only\", enable_ipv4=False) \"\"\" self.variants.append(BuildVariant(**args)) def AllVariants(self):","yield target.Extend('p6-light', board=InfineonBoard.P6BOARD, app=InfineonApp.LIGHT) def AmebaTargets(): ameba_target = Target('ameba', AmebaBuilder) yield ameba_target.Extend('amebad-all-clusters', board=AmebaBoard.AMEBAD,","app=Esp32App.ALL_CLUSTERS) yield esp32_target.Extend('m5stack-all-clusters-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield esp32_target.Extend('m5stack-all-clusters-rpc', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True) yield esp32_target.Extend('m5stack-all-clusters-rpc-ipv6only',","disable_ble=True, se05x=True).GlobBlacklist(\"Only on demand build\") yield target.Extend('light-release-no-ota', app=K32WApp.LIGHT, tokenizer=True, disable_ota=True, release=True) yield target.Extend('shell-release',","target.Extend('androidstudio-arm-chip-tool', board=AndroidBoard.AndroidStudio_ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-arm64-chip-tool', board=AndroidBoard.AndroidStudio_ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x86-chip-tool', board=AndroidBoard.AndroidStudio_X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x64-chip-tool',","# x64 linux supports cross compile cross_compile = (HostBoard.NATIVE.PlatformName() == 'linux') and (HostBoard.NATIVE.BoardName()","yield esp32_target.Extend('m5stack-all-clusters', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS) yield esp32_target.Extend('m5stack-all-clusters-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield esp32_target.Extend('m5stack-all-clusters-rpc', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS,","**kargs): \"\"\"Creates a clone of the current object extending its build parameters. Arguments:","'only user requested'), efr_target.Extend('brd4187a', board=Efr32Board.BRD4187A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4304a', board=Efr32Board.BRD4304A).GlobBlacklist( 'only user requested')","app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True).GlobBlacklist(\"Reduce default build variants\") yield target_native.Extend('address-resolve-tool-platform-mdns-ipv6only', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True, enable_ipv4=False).GlobBlacklist(\"Reduce default build variants\")","esp32_target.Extend('qemu-tests', board=Esp32Board.QEMU, app=Esp32App.TESTS) def Efr32Targets(): efr_target = Target('efr32', Efr32Builder) board_targets = [ efr_target.Extend('brd4161a',","be created - no conflicts variant_target = target.Clone() for option in subgroup: variant_target","Efr32Builder from builders.esp32 import Esp32App, Esp32Board, Esp32Builder from builders.host import HostApp, HostBoard, HostBuilder","on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,","needed to produce the new build variant \"\"\" clone = self.Clone() clone.name +=","= Target('infineon', InfineonBuilder) yield target.Extend('p6-lock', board=InfineonBoard.P6BOARD, app=InfineonApp.LOCK) yield target.Extend('p6-all-clusters', board=InfineonBoard.P6BOARD, app=InfineonApp.ALL_CLUSTERS) yield target.Extend('p6-light',","'Compile failure due to pw_build args not forwarded to proto compiler. ' 'https://pigweed-review.googlesource.com/c/pigweed/pigweed/+/66760')","import QpgApp, QpgBoard, QpgBuilder from builders.telink import TelinkApp, TelinkBoard, TelinkBuilder from builders.tizen import","purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') yield target.Extend('debug', profile=MbedProfile.DEBUG).GlobBlacklist( 'Compile only for debugging purpose -","efr_target = Target('efr32', Efr32Builder) board_targets = [ efr_target.Extend('brd4161a', board=Efr32Board.BRD4161A), efr_target.Extend('brd4163a', board=Efr32Board.BRD4163A).GlobBlacklist( 'only user","HostBoard.ARM64.BoardName()) if cross_compile: targets.append(target.Extend('arm64', board=HostBoard.ARM64)) app_targets = [] # Don't cross compile some","from builders.telink import TelinkApp, TelinkBoard, TelinkBuilder from builders.tizen import TizenApp, TizenBoard, TizenBuilder from","# Simple targets added one by one ALL.append(Target('telink-tlsr9518adk80d-light', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.LIGHT)) ALL.append(Target('telink-tlsr9518adk80d-light-switch', TelinkBuilder,","# because libreadline is not part of the default sysroot yield target.GlobBlacklist('Arm crosscompile","**kargs: arguments needed to produce the new build variant \"\"\" clone = self.Clone()","possible variant for variant_count in range(1, len(ok_variants) + 1): for subgroup in combinations(ok_variants,","builders.telink import TelinkApp, TelinkBoard, TelinkBuilder from builders.tizen import TizenApp, TizenBoard, TizenBuilder from builders.bl602","name self.builder_class = builder_class self.glob_blacklist_reason = None self.create_kw_args = kwargs def Clone(self): \"\"\"Creates","clone.glob_blacklist_reason += reason else: clone.glob_blacklist_reason = reason return clone @property def IsGlobBlacklisted(self): return","builder.AppendVariant(name=\"no-interactive\", validator=AcceptNameWithSubstrings( ['-chip-tool']), interactive_mode=False), builder.AppendVariant(name=\"ipv6only\", enable_ipv4=False), builder.AppendVariant(name=\"no-ble\", enable_ble=False), builder.AppendVariant(name=\"no-wifi\", enable_wifi=False), builder.AppendVariant(name=\"tsan\", conflicts=['asan'], use_tsan=True),","the given targets. Handles conflict resolution between build variants and globbing whitelist targets.","args not forwarded to proto compiler. ' 'https://pigweed-review.googlesource.com/c/pigweed/pigweed/+/66760') yield rpc def AndroidTargets(): target","def AndroidTargets(): target = Target('android', AndroidBuilder) yield target.Extend('arm-chip-tool', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tool', board=AndroidBoard.ARM64,","default build variants\") test_target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) for board in [HostBoard.NATIVE, HostBoard.FAKE]: yield","See the License for the specific language governing permissions and # limitations under","(c) 2021 Project CHIP Authors # # Licensed under the Apache License, Version","yield target.Extend('shell', board=QpgBoard.QPG6105, app=QpgApp.SHELL) yield target.Extend('persistent-storage', board=QpgBoard.QPG6105, app=QpgApp.PERSISTENT_STORAGE) def TizenTargets(): # Possible build","] builder = VariantBuilder() for board_target in board_targets: builder.targets.append(board_target.Extend( 'window-covering', app=Efr32App.WINDOW_COVERING)) builder.targets.append(board_target.Extend( 'switch',","from builders.android import AndroidApp, AndroidBoard, AndroidBuilder from builders.cc13x2x7_26x2x7 import cc13x2x7_26x2x7App, cc13x2x7_26x2x7Builder from builders.cyw30739","for globs name = '-'.join([o.name for o in subgroup]) if name not in","QpgApp, QpgBoard, QpgBuilder from builders.telink import TelinkApp, TelinkBoard, TelinkBuilder from builders.tizen import TizenApp,","builder.targets.append(board_target.Extend( 'window-covering', app=Efr32App.WINDOW_COVERING)) builder.targets.append(board_target.Extend( 'switch', app=Efr32App.SWITCH)) builder.targets.append(board_target.Extend( 'unit-test', app=Efr32App.UNIT_TEST)) builder.targets.append( board_target.Extend('light', app=Efr32App.LIGHT)) builder.targets.append(board_target.Extend('lock',","to the clone name **kargs: arguments needed to produce the new build variant","# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in","= buildargs self.requires = requires def HasConflicts(items: List[BuildVariant]) -> bool: for a, b","HostBuilder) for board in [HostBoard.NATIVE, HostBoard.FAKE]: yield test_target.Extend(board.BoardName() + '-tests', board=board, app=HostApp.TESTS) def","app=HostApp.CHIP_TOOL_DARWIN)) app_targets.append(target.Extend('chip-tool', app=HostApp.CHIP_TOOL)) app_targets.append(target.Extend('thermostat', app=HostApp.THERMOSTAT)) app_targets.append(target.Extend('minmdns', app=HostApp.MIN_MDNS)) app_targets.append(target.Extend('light', app=HostApp.LIGHT)) app_targets.append(target.Extend('lock', app=HostApp.LOCK)) app_targets.append(target.Extend('shell', app=HostApp.SHELL))","if not AllRequirementsMet(subgroup): continue # Target ready to be created - no conflicts","variant_target def HostTargets(): target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) target_native = target.Extend(HostBoard.NATIVE.BoardName(), board=HostBoard.NATIVE) targets =","app=AndroidApp.CHIP_TVServer) yield target.Extend('x64-chip-tvserver', board=AndroidBoard.X64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm64-chip-tv-casting-app', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TV_CASTING_APP) yield target.Extend('arm-chip-tv-casting-app', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TV_CASTING_APP)","app_targets.append( target_native.Extend('rpc-console', app=HostApp.RPC_CONSOLE)) app_targets.append( target_native.Extend('tv-app', app=HostApp.TV_APP)) app_targets.append( target_native.Extend('tv-casting-app', app=HostApp.TV_CASTING_APP)) app_targets.append( target_native.Extend('nl-test-runner', app=HostApp.NL_TEST_RUNNER)) for","TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.LIGHT)) ALL.append(Target('telink-tlsr9518adk80d-light-switch', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.SWITCH)) # have a consistent order overall","builder.targets.append(target) for target in builder.AllVariants(): if cross_compile and 'chip-tool' in target.name and 'arm64'","Only a few are whitelisted for globs name = '-'.join([o.name for o in","def Create(self, runner, repository_path: str, output_prefix: str, enable_flashbundle: bool): builder = self.builder_class( repository_path,","enable_ipv4=False).GlobBlacklist(\"Reduce default build variants\") test_target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) for board in [HostBoard.NATIVE, HostBoard.FAKE]:","produce the new build variant \"\"\" clone = self.Clone() clone.name += \"-\" +","class VariantBuilder: \"\"\"Handles creating multiple build variants based on a starting target. \"\"\"","in targets: app_targets.append(target.Extend( 'all-clusters', app=HostApp.ALL_CLUSTERS)) if (HostBoard.NATIVE.PlatformName() == 'darwin'): app_targets.append(target.Extend( 'chip-tool-darwin', app=HostApp.CHIP_TOOL_DARWIN)) app_targets.append(target.Extend('chip-tool',","for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') yield target.Extend('debug', profile=MbedProfile.DEBUG).GlobBlacklist( 'Compile only for debugging","app=AmebaApp.PIGWEED) def K32WTargets(): target = Target('k32w', K32WBuilder) yield target.Extend('light-ota-se', app=K32WApp.LIGHT, release=True, disable_ble=True, se05x=True).GlobBlacklist(\"Only","for this target ok_variants = [ v for v in self.variants if v.validator.Accept(target.name)]","for target in targets: yield target.Extend('all-clusters', app=NrfApp.ALL_CLUSTERS) yield target.Extend('lock', app=NrfApp.LOCK) yield target.Extend('light', app=NrfApp.LIGHT)","compile by default on arm cross compiles # because libreadline is not part","QorvoTargets(): target = Target('qpg', QpgBuilder) yield target.Extend('lock', board=QpgBoard.QPG6105, app=QpgApp.LOCK) yield target.Extend('light', board=QpgBoard.QPG6105, app=QpgApp.LIGHT)","subgroup in combinations(ok_variants, variant_count): if HasConflicts(subgroup): continue if not AllRequirementsMet(subgroup): continue # Target","= [ v for v in self.variants if v.validator.Accept(target.name)] # Build every possible","# You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0","and 'chip-tool' in target.name and 'arm64' in target.name and '-no-interactive' not in target.name:","[] for target in targets: app_targets.append(target.Extend('lock', app=MbedApp.LOCK)) app_targets.append(target.Extend('light', app=MbedApp.LIGHT)) app_targets.append(target.Extend( 'all-clusters', app=MbedApp.ALL_CLUSTERS)) app_targets.append(target.Extend('pigweed',","'darwin'): app_targets.append(target.Extend( 'chip-tool-darwin', app=HostApp.CHIP_TOOL_DARWIN)) app_targets.append(target.Extend('chip-tool', app=HostApp.CHIP_TOOL)) app_targets.append(target.Extend('thermostat', app=HostApp.THERMOSTAT)) app_targets.append(target.Extend('minmdns', app=HostApp.MIN_MDNS)) app_targets.append(target.Extend('light', app=HostApp.LIGHT)) app_targets.append(target.Extend('lock',","Bl602Board, Bl602Builder from builders.imx import IMXApp, IMXBuilder class Target: \"\"\"Represents a build target:","variant_target.GlobBlacklist( 'Reduce default build variants') yield variant_target def HostTargets(): target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder)","class Target: \"\"\"Represents a build target: Has a name identifier plus parameters on","of XIP flash space\") yield Target('cyw30739-cyw930739m2evb_01-ota-requestor-no-progress-logging', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR, progress_logging=False) def QorvoTargets(): target","so variants are generally glob-blacklisted. \"\"\" self.glob_whitelist.append(name) def AppendVariant(self, **args): \"\"\" Add another","target.Extend('light', board=QpgBoard.QPG6105, app=QpgApp.LIGHT) yield target.Extend('shell', board=QpgBoard.QPG6105, app=QpgApp.SHELL) yield target.Extend('persistent-storage', board=QpgBoard.QPG6105, app=QpgApp.PERSISTENT_STORAGE) def TizenTargets():","is exponential here. builder = VariantBuilder() builder.AppendVariant(name=\"no-ble\", enable_ble=False) builder.AppendVariant(name=\"no-wifi\", enable_wifi=False) builder.AppendVariant(name=\"asan\", use_asan=True) target","__init__(self, name, builder_class, **kwargs): self.name = name self.builder_class = builder_class self.glob_blacklist_reason = None","2): if (a.name in b.conflicts) or (b.name in a.conflicts): return True return False","v in self.variants if v.validator.Accept(target.name)] # Build every possible variant for variant_count in","enable_rpcs=True) if '-nrf5340dk-' in rpc.name: rpc = rpc.GlobBlacklist( 'Compile failure due to pw_build","return clone @property def IsGlobBlacklisted(self): return self.glob_blacklist_reason is not None @property def GlobBlacklistReason(self):","and lighting app only yield target.Extend('nrf52840dongle-all-clusters', board=NrfBoard.NRF52840DONGLE, app=NrfApp.ALL_CLUSTERS) yield target.Extend('nrf52840dongle-light', board=NrfBoard.NRF52840DONGLE, app=NrfApp.LIGHT) for","= self.name builder.output_dir = os.path.join(output_prefix, self.name) builder.enable_flashbundle(enable_flashbundle) return builder def GlobBlacklist(self, reason): clone","HasConflicts(items: List[BuildVariant]) -> bool: for a, b in combinations(items, 2): if (a.name in","yield target.Extend('lock-release', app=K32WApp.LOCK, release=True) yield target.Extend('lock-low-power-release', app=K32WApp.LOCK, low_power=True, release=True).GlobBlacklist(\"Only on demand build\") def","in items: for requirement in item.requires: if requirement not in available: return False","QorvoTargets(), TizenTargets(), Bl602Targets(), IMXTargets(), ] for generator in target_generators: for target in generator:","target_native.Extend('address-resolve-tool', app=HostApp.ADDRESS_RESOLVE) yield target_native.Extend('address-resolve-tool-clang', app=HostApp.ADDRESS_RESOLVE, use_clang=True).GlobBlacklist(\"Reduce default build variants\") yield target_native.Extend('address-resolve-tool-platform-mdns', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True).GlobBlacklist(\"Reduce","K32WBuilder) yield target.Extend('light-ota-se', app=K32WApp.LIGHT, release=True, disable_ble=True, se05x=True).GlobBlacklist(\"Only on demand build\") yield target.Extend('light-release-no-ota', app=K32WApp.LIGHT,","of the current object extending its build parameters. Arguments: suffix: appended with a","target.Extend('persistent-storage', board=QpgBoard.QPG6105, app=QpgApp.PERSISTENT_STORAGE) def TizenTargets(): # Possible build variants. # NOTE: The number","self.variants = [] self.glob_whitelist = [] def WhitelistVariantNameForGlob(self, name): \"\"\" Whitelist the specified","= [ target.Extend('CY8CPROTO_062_4343W', board=MbedBoard.CY8CPROTO_062_4343W), ] app_targets = [] for target in targets: app_targets.append(target.Extend('lock',","self builder.identifier = self.name builder.output_dir = os.path.join(output_prefix, self.name) builder.enable_flashbundle(enable_flashbundle) return builder def GlobBlacklist(self,","app=NrfApp.ALL_CLUSTERS) yield target.Extend('lock', app=NrfApp.LOCK) yield target.Extend('light', app=NrfApp.LIGHT) yield target.Extend('shell', app=NrfApp.SHELL) yield target.Extend('pump', app=NrfApp.PUMP)","builder.AppendVariant(name=\"no-wifi\", enable_wifi=False), builder.AppendVariant(name=\"tsan\", conflicts=['asan'], use_tsan=True), builder.AppendVariant(name=\"asan\", conflicts=['tsan'], use_asan=True), builder.AppendVariant(name=\"libfuzzer\", requires=[ \"clang\"], use_libfuzzer=True), builder.AppendVariant(name=\"clang\",","yield target_native.Extend('address-resolve-tool-platform-mdns', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True).GlobBlacklist(\"Reduce default build variants\") yield target_native.Extend('address-resolve-tool-platform-mdns-ipv6only', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True, enable_ipv4=False).GlobBlacklist(\"Reduce default","AndroidTargets(), MbedTargets(), InfineonTargets(), AmebaTargets(), K32WTargets(), cc13x2x7_26x2x7Targets(), Cyw30739Targets(), QorvoTargets(), TizenTargets(), Bl602Targets(), IMXTargets(), ] for","HostBoard, HostBuilder from builders.infineon import InfineonApp, InfineonBoard, InfineonBuilder from builders.k32w import K32WApp, K32WBuilder","target.Extend('shell', app=NrfApp.SHELL) yield target.Extend('pump', app=NrfApp.PUMP) yield target.Extend('pump-controller', app=NrfApp.PUMP_CONTROLLER) rpc = target.Extend('light-rpc', app=NrfApp.LIGHT, enable_rpcs=True)","for target in targets: app_targets.append(target.Extend('lock', app=MbedApp.LOCK)) app_targets.append(target.Extend('light', app=MbedApp.LIGHT)) app_targets.append(target.Extend( 'all-clusters', app=MbedApp.ALL_CLUSTERS)) app_targets.append(target.Extend('pigweed', app=MbedApp.PIGWEED))","release=True) yield target.Extend('lighting-app-release', app=IMXApp.LIGHT, release=True) yield target.Extend('thermostat-release', app=IMXApp.THERMOSTAT, release=True) yield target.Extend('all-clusters-app-release', app=IMXApp.ALL_CLUSTERS, release=True)","variant_target = target.Clone() for option in subgroup: variant_target = variant_target.Extend( option.name, **option.buildargs) #","use_platform_mdns=True, enable_ipv4=False).GlobBlacklist(\"Reduce default build variants\") test_target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) for board in [HostBoard.NATIVE,","in self.substr: if s in name: return True return False class BuildVariant: def","= '-'.join([o.name for o in subgroup]) if name not in self.glob_whitelist: if not","self.builder_class, **self.create_kw_args.copy()) clone.glob_blacklist_reason = self.glob_blacklist_reason return clone def Extend(self, suffix, **kargs): \"\"\"Creates a","validator=AcceptNameWithSubstrings( ['-chip-tool']), interactive_mode=False), builder.AppendVariant(name=\"ipv6only\", enable_ipv4=False), builder.AppendVariant(name=\"no-ble\", enable_ble=False), builder.AppendVariant(name=\"no-wifi\", enable_wifi=False), builder.AppendVariant(name=\"tsan\", conflicts=['asan'], use_tsan=True), builder.AppendVariant(name=\"asan\",","import combinations from typing import List from builders.ameba import AmebaApp, AmebaBoard, AmebaBuilder from","validator=AcceptNameWithSubstrings( ['-light', '-lock']), enable_rpcs=True) builder.AppendVariant(name=\"with-ota-requestor\", enable_ota_requestor=True) builder.WhitelistVariantNameForGlob('rpc') for target in builder.AllVariants(): yield target","KIND, either express or implied. # See the License for the specific language","else: builder.targets.append(target) for target in builder.AllVariants(): if cross_compile and 'chip-tool' in target.name and","number of potential builds is exponential here. builder = VariantBuilder() builder.AppendVariant(name=\"no-ble\", enable_ble=False) builder.AppendVariant(name=\"no-wifi\",","\"\"\" def __init__(self, targets: List[Target] = []): # note the clone in case","'-lock']), enable_rpcs=True) builder.AppendVariant(name=\"with-ota-requestor\", enable_ota_requestor=True) builder.WhitelistVariantNameForGlob('rpc') for target in builder.AllVariants(): yield target def NrfTargets():","return clone def Create(self, runner, repository_path: str, output_prefix: str, enable_flashbundle: bool): builder =","[ efr_target.Extend('brd4161a', board=Efr32Board.BRD4161A), efr_target.Extend('brd4163a', board=Efr32Board.BRD4163A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4164a', board=Efr32Board.BRD4164A).GlobBlacklist( 'only user requested'),","True return False class BuildVariant: def __init__(self, name: str, validator=AcceptAnyName(), conflicts: List[str] =","cc13x2x7_26x2x7Targets(): target = Target('cc13x2x7_26x2x7', cc13x2x7_26x2x7Builder) yield target.Extend('lock-ftd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=True) yield target.Extend('lock-mtd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=False)","what arguments are required to produce the specified build) \"\"\" def __init__(self, name,","target in generator: ALL.append(target) # Simple targets added one by one ALL.append(Target('telink-tlsr9518adk80d-light', TelinkBuilder,","import Cyw30739App, Cyw30739Board, Cyw30739Builder from builders.efr32 import Efr32App, Efr32Board, Efr32Builder from builders.esp32 import","else: clone.glob_blacklist_reason = reason return clone @property def IsGlobBlacklisted(self): return self.glob_blacklist_reason is not","target.Extend(HostBoard.NATIVE.BoardName(), board=HostBoard.NATIVE) targets = [target_native] # x64 linux supports cross compile cross_compile =","+= \"-\" + suffix clone.create_kw_args.update(kargs) return clone def Create(self, runner, repository_path: str, output_prefix:","variant_target.IsGlobBlacklisted: variant_target = variant_target.GlobBlacklist( 'Reduce default build variants') yield variant_target def HostTargets(): target","app_targets.append(target.Extend('pigweed', app=MbedApp.PIGWEED)) app_targets.append(target.Extend('shell', app=MbedApp.SHELL)) for target in app_targets: yield target.Extend('release', profile=MbedProfile.RELEASE) yield target.Extend('develop',","app=AndroidApp.CHIP_TV_CASTING_APP) def MbedTargets(): target = Target('mbed', MbedBuilder) targets = [ target.Extend('CY8CPROTO_062_4343W', board=MbedBoard.CY8CPROTO_062_4343W), ]","'all-clusters', app=MbedApp.ALL_CLUSTERS)) app_targets.append(target.Extend('pigweed', app=MbedApp.PIGWEED)) app_targets.append(target.Extend('shell', app=MbedApp.SHELL)) for target in app_targets: yield target.Extend('release', profile=MbedProfile.RELEASE)","= validator self.conflicts = conflicts self.buildargs = buildargs self.requires = requires def HasConflicts(items:","test_target.Extend(board.BoardName() + '-tests', board=board, app=HostApp.TESTS) def Esp32Targets(): esp32_target = Target('esp32', Esp32Builder) yield esp32_target.Extend('m5stack-all-clusters',","for item in items]) for item in items: for requirement in item.requires: if","target = Target('mbed', MbedBuilder) targets = [ target.Extend('CY8CPROTO_062_4343W', board=MbedBoard.CY8CPROTO_062_4343W), ] app_targets = []","allowed for globbing. By default we do not want a 'build all' to","app=K32WApp.LOCK, low_power=True, release=True).GlobBlacklist(\"Only on demand build\") def cc13x2x7_26x2x7Targets(): target = Target('cc13x2x7_26x2x7', cc13x2x7_26x2x7Builder) yield","ANY KIND, either express or implied. # See the License for the specific","app=K32WApp.SHELL, release=True) yield target.Extend('lock-release', app=K32WApp.LOCK, release=True) yield target.Extend('lock-low-power-release', app=K32WApp.LOCK, low_power=True, release=True).GlobBlacklist(\"Only on demand","from builders.efr32 import Efr32App, Efr32Board, Efr32Builder from builders.esp32 import Esp32App, Esp32Board, Esp32Builder from","app_targets.append( target_native.Extend('tv-app', app=HostApp.TV_APP)) app_targets.append( target_native.Extend('tv-casting-app', app=HostApp.TV_CASTING_APP)) app_targets.append( target_native.Extend('nl-test-runner', app=HostApp.NL_TEST_RUNNER)) for target in targets:","number of potential # builds is exponential here builder.AppendVariant(name=\"same-event-loop\", validator=AcceptNameWithSubstrings( ['-chip-tool', '-chip-tool-darwin']), separate_event_loop=False),","will not compile by default on arm cross compiles # because libreadline is","WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See","efr_target.Extend('brd4163a', board=Efr32Board.BRD4163A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4164a', board=Efr32Board.BRD4164A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4166a', board=Efr32Board.BRD4166A).GlobBlacklist( 'only","app=Esp32App.LIGHT) yield devkitc.Extend('lock', app=Esp32App.LOCK) yield devkitc.Extend('bridge', app=Esp32App.BRIDGE) yield devkitc.Extend('temperature-measurement', app=Esp32App.TEMPERATURE_MEASUREMENT) yield devkitc.Extend('temperature-measurement-rpc', app=Esp32App.TEMPERATURE_MEASUREMENT,","app=QpgApp.SHELL) yield target.Extend('persistent-storage', board=QpgBoard.QPG6105, app=QpgApp.PERSISTENT_STORAGE) def TizenTargets(): # Possible build variants. # NOTE:","**self.create_kw_args.copy()) clone.glob_blacklist_reason = self.glob_blacklist_reason return clone def Extend(self, suffix, **kargs): \"\"\"Creates a clone","\", \" clone.glob_blacklist_reason += reason else: clone.glob_blacklist_reason = reason return clone @property def","# builds is exponential here builder.AppendVariant(name=\"rpc\", validator=AcceptNameWithSubstrings( ['-light', '-lock']), enable_rpcs=True) builder.AppendVariant(name=\"with-ota-requestor\", enable_ota_requestor=True) builder.WhitelistVariantNameForGlob('rpc')","for target in builder.AllVariants(): yield target def Bl602Targets(): target = Target('bl602', Bl602Builder) yield","yield target.Extend('lighting-app', app=IMXApp.LIGHT) yield target.Extend('thermostat', app=IMXApp.THERMOSTAT) yield target.Extend('all-clusters-app', app=IMXApp.ALL_CLUSTERS) yield target.Extend('ota-provider-app', app=IMXApp.OTA_PROVIDER) yield","MbedBoard, MbedBuilder, MbedProfile from builders.nrf import NrfApp, NrfBoard, NrfConnectBuilder from builders.qpg import QpgApp,","user requested'), efr_target.Extend('brd4170a', board=Efr32Board.BRD4170A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4186a', board=Efr32Board.BRD4186A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4187a',","builders.infineon import InfineonApp, InfineonBoard, InfineonBuilder from builders.k32w import K32WApp, K32WBuilder from builders.mbed import","no conflicts variant_target = target.Clone() for option in subgroup: variant_target = variant_target.Extend( option.name,","yield esp32_target.Extend('qemu-tests', board=Esp32Board.QEMU, app=Esp32App.TESTS) def Efr32Targets(): efr_target = Target('efr32', Efr32Builder) board_targets = [","app=cc13x2x7_26x2x7App.SHELL) def Cyw30739Targets(): yield Target('cyw30739-cyw930739m2evb_01-light', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LIGHT) yield Target('cyw30739-cyw930739m2evb_01-lock', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LOCK)","board=AmebaBoard.AMEBAD, app=AmebaApp.ALL_CLUSTERS) yield ameba_target.Extend('amebad-light', board=AmebaBoard.AMEBAD, app=AmebaApp.LIGHT) yield ameba_target.Extend('amebad-pigweed', board=AmebaBoard.AMEBAD, app=AmebaApp.PIGWEED) def K32WTargets(): target","devkitc.Extend('lock', app=Esp32App.LOCK) yield devkitc.Extend('bridge', app=Esp32App.BRIDGE) yield devkitc.Extend('temperature-measurement', app=Esp32App.TEMPERATURE_MEASUREMENT) yield devkitc.Extend('temperature-measurement-rpc', app=Esp32App.TEMPERATURE_MEASUREMENT, enable_rpcs=True) yield","Target('ameba', AmebaBuilder) yield ameba_target.Extend('amebad-all-clusters', board=AmebaBoard.AMEBAD, app=AmebaApp.ALL_CLUSTERS) yield ameba_target.Extend('amebad-light', board=AmebaBoard.AMEBAD, app=AmebaApp.LIGHT) yield ameba_target.Extend('amebad-pigweed', board=AmebaBoard.AMEBAD,","target def NrfTargets(): target = Target('nrf', NrfConnectBuilder) yield target.Extend('native-posix-64-tests', board=NrfBoard.NATIVE_POSIX_64, app=NrfApp.UNIT_TESTS) targets =","yield devkitc.Extend('shell', app=Esp32App.SHELL) yield devkitc.Extend('light', app=Esp32App.LIGHT) yield devkitc.Extend('lock', app=Esp32App.LOCK) yield devkitc.Extend('bridge', app=Esp32App.BRIDGE) yield","= self.builder_class( repository_path, runner=runner, **self.create_kw_args) builder.target = self builder.identifier = self.name builder.output_dir =","app=cc13x2x7_26x2x7App.PUMP_CONTROLLER) yield target.Extend('all-clusters', app=cc13x2x7_26x2x7App.ALL_CLUSTERS) yield target.Extend('shell', app=cc13x2x7_26x2x7App.SHELL) def Cyw30739Targets(): yield Target('cyw30739-cyw930739m2evb_01-light', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01,","builds is exponential here builder.AppendVariant(name=\"rpc\", validator=AcceptNameWithSubstrings( ['-light', '-lock']), enable_rpcs=True) builder.AppendVariant(name=\"with-ota-requestor\", enable_ota_requestor=True) builder.WhitelistVariantNameForGlob('rpc') for","self.glob_blacklist_reason return clone def Extend(self, suffix, **kargs): \"\"\"Creates a clone of the current","whitelist targets. \"\"\" for target in self.targets: yield target # skip variants that","Without extra build variants yield target_native.Extend('chip-cert', app=HostApp.CERT_TOOL) yield target_native.Extend('address-resolve-tool', app=HostApp.ADDRESS_RESOLVE) yield target_native.Extend('address-resolve-tool-clang', app=HostApp.ADDRESS_RESOLVE,","added one by one ALL.append(Target('telink-tlsr9518adk80d-light', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.LIGHT)) ALL.append(Target('telink-tlsr9518adk80d-light-switch', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.SWITCH)) #","multiple build variants based on a starting target. \"\"\" def __init__(self, targets: List[Target]","for target in app_targets: yield target.Extend('release', profile=MbedProfile.RELEASE) yield target.Extend('develop', profile=MbedProfile.DEVELOP).GlobBlacklist( 'Compile only for","= variant_target.GlobBlacklist( 'Reduce default build variants') yield variant_target def HostTargets(): target = Target(HostBoard.NATIVE.PlatformName(),","def Accept(self, name: str): return True class AcceptNameWithSubstrings: def __init__(self, substr: List[str]): self.substr","in builder.AllVariants(): yield target def NrfTargets(): target = Target('nrf', NrfConnectBuilder) yield target.Extend('native-posix-64-tests', board=NrfBoard.NATIVE_POSIX_64,","Arguments are construction variants to BuildVariant. Example usage: builder.AppendVariant(name=\"ipv6only\", enable_ipv4=False) \"\"\" self.variants.append(BuildVariant(**args)) def","board=HostBoard.ARM64)) app_targets = [] # Don't cross compile some builds app_targets.append( target_native.Extend('rpc-console', app=HostApp.RPC_CONSOLE))","new build variant \"\"\" clone = self.Clone() clone.name += \"-\" + suffix clone.create_kw_args.update(kargs)","**kwargs): self.name = name self.builder_class = builder_class self.glob_blacklist_reason = None self.create_kw_args = kwargs","specified variant to be allowed for globbing. By default we do not want","TizenBuilder from builders.bl602 import Bl602App, Bl602Board, Bl602Builder from builders.imx import IMXApp, IMXBuilder class","option in subgroup: variant_target = variant_target.Extend( option.name, **option.buildargs) # Only a few are","HostTargets(), Esp32Targets(), Efr32Targets(), NrfTargets(), AndroidTargets(), MbedTargets(), InfineonTargets(), AmebaTargets(), K32WTargets(), cc13x2x7_26x2x7Targets(), Cyw30739Targets(), QorvoTargets(), TizenTargets(),","combinations(ok_variants, variant_count): if HasConflicts(subgroup): continue if not AllRequirementsMet(subgroup): continue # Target ready to","range(1, len(ok_variants) + 1): for subgroup in combinations(ok_variants, variant_count): if HasConflicts(subgroup): continue if","build variants and globbing whitelist targets. \"\"\" for target in self.targets: yield target","under the License is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES","release=True) yield target.Extend('lock-low-power-release', app=K32WApp.LOCK, low_power=True, release=True).GlobBlacklist(\"Only on demand build\") def cc13x2x7_26x2x7Targets(): target =","in case the default arg is used self.targets = targets[:] self.variants = []","\"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express","a \"-\" as separator to the clone name **kargs: arguments needed to produce","self.\"\"\" clone = Target(self.name, self.builder_class, **self.create_kw_args.copy()) clone.glob_blacklist_reason = self.glob_blacklist_reason return clone def Extend(self,","targets[:] self.variants = [] self.glob_whitelist = [] def WhitelistVariantNameForGlob(self, name): \"\"\" Whitelist the","app=Esp32App.TESTS) def Efr32Targets(): efr_target = Target('efr32', Efr32Builder) board_targets = [ efr_target.Extend('brd4161a', board=Efr32Board.BRD4161A), efr_target.Extend('brd4163a',","devkitc.Extend('shell', app=Esp32App.SHELL) yield devkitc.Extend('light', app=Esp32App.LIGHT) yield devkitc.Extend('lock', app=Esp32App.LOCK) yield devkitc.Extend('bridge', app=Esp32App.BRIDGE) yield devkitc.Extend('temperature-measurement',","yield target def Bl602Targets(): target = Target('bl602', Bl602Builder) yield target.Extend('light', board=Bl602Board.BL602BOARD, app=Bl602App.LIGHT) def","applicable law or agreed to in writing, software # distributed under the License","yield devkitc.Extend('all-clusters-ipv6only', app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield devkitc.Extend('shell', app=Esp32App.SHELL) yield devkitc.Extend('light', app=Esp32App.LIGHT) yield devkitc.Extend('lock', app=Esp32App.LOCK)","self.name = name self.builder_class = builder_class self.glob_blacklist_reason = None self.create_kw_args = kwargs def","not want a 'build all' to select all variants, so variants are generally","variants. # NOTE: The number of potential builds is exponential here. builder =","board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR).GlobBlacklist( \"Running out of XIP flash space\") yield Target('cyw30739-cyw930739m2evb_01-ota-requestor-no-progress-logging', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR,","esp32_target.Extend('m5stack-all-clusters', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS) yield esp32_target.Extend('m5stack-all-clusters-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield esp32_target.Extend('m5stack-all-clusters-rpc', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True)","app=cc13x2x7_26x2x7App.PUMP) yield target.Extend('pump-controller', app=cc13x2x7_26x2x7App.PUMP_CONTROLLER) yield target.Extend('all-clusters', app=cc13x2x7_26x2x7App.ALL_CLUSTERS) yield target.Extend('shell', app=cc13x2x7_26x2x7App.SHELL) def Cyw30739Targets(): yield","CONDITIONS OF ANY KIND, either express or implied. # See the License for","yield target.Extend('arm-chip-tv-casting-app', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TV_CASTING_APP) def MbedTargets(): target = Target('mbed', MbedBuilder) targets = [","release=True) yield target.Extend('ota-provider-app-release', app=IMXApp.OTA_PROVIDER, release=True) ALL = [] target_generators = [ HostTargets(), Esp32Targets(),","import K32WApp, K32WBuilder from builders.mbed import MbedApp, MbedBoard, MbedBuilder, MbedProfile from builders.nrf import","potential # builds is exponential here builder.AppendVariant(name=\"rpc\", validator=AcceptNameWithSubstrings( ['-light', '-lock']), enable_rpcs=True) builder.AppendVariant(name=\"with-ota-requestor\", enable_ota_requestor=True)","all variants, so variants are generally glob-blacklisted. \"\"\" self.glob_whitelist.append(name) def AppendVariant(self, **args): \"\"\"","QpgBoard, QpgBuilder from builders.telink import TelinkApp, TelinkBoard, TelinkBuilder from builders.tizen import TizenApp, TizenBoard,","writing, software # distributed under the License is distributed on an \"AS IS\"","= [] def WhitelistVariantNameForGlob(self, name): \"\"\" Whitelist the specified variant to be allowed","target. \"\"\" def __init__(self, targets: List[Target] = []): # note the clone in","variants. Arguments are construction variants to BuildVariant. Example usage: builder.AppendVariant(name=\"ipv6only\", enable_ipv4=False) \"\"\" self.variants.append(BuildVariant(**args))","board=Esp32Board.DevKitC) yield devkitc.Extend('all-clusters', app=Esp32App.ALL_CLUSTERS) yield devkitc.Extend('all-clusters-ipv6only', app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield devkitc.Extend('shell', app=Esp32App.SHELL) yield devkitc.Extend('light',","app_targets.append(target.Extend('python-bindings', app=HostApp.PYTHON_BINDINGS)) builder = VariantBuilder() # Possible build variants. Note that number of","target = Target('k32w', K32WBuilder) yield target.Extend('light-ota-se', app=K32WApp.LIGHT, release=True, disable_ble=True, se05x=True).GlobBlacklist(\"Only on demand build\")","build it (what builder class to use and what arguments are required to","variants') yield variant_target def HostTargets(): target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) target_native = target.Extend(HostBoard.NATIVE.BoardName(), board=HostBoard.NATIVE)","app=IMXApp.LIGHT) yield target.Extend('thermostat', app=IMXApp.THERMOSTAT) yield target.Extend('all-clusters-app', app=IMXApp.ALL_CLUSTERS) yield target.Extend('ota-provider-app', app=IMXApp.OTA_PROVIDER) yield target.Extend('chip-tool-release', app=IMXApp.CHIP_TOOL,","Target: \"\"\"Represents a build target: Has a name identifier plus parameters on how","compliance with the License. # You may obtain a copy of the License","that item.requires is satisfied for all items in the given list \"\"\" available","subgroup]) if name not in self.glob_whitelist: if not variant_target.IsGlobBlacklisted: variant_target = variant_target.GlobBlacklist( 'Reduce","app=IMXApp.CHIP_TOOL, release=True) yield target.Extend('lighting-app-release', app=IMXApp.LIGHT, release=True) yield target.Extend('thermostat-release', app=IMXApp.THERMOSTAT, release=True) yield target.Extend('all-clusters-app-release', app=IMXApp.ALL_CLUSTERS,","created - no conflicts variant_target = target.Clone() for option in subgroup: variant_target =","target.Extend('lock', board=QpgBoard.QPG6105, app=QpgApp.LOCK) yield target.Extend('light', board=QpgBoard.QPG6105, app=QpgApp.LIGHT) yield target.Extend('shell', board=QpgBoard.QPG6105, app=QpgApp.SHELL) yield target.Extend('persistent-storage',","if (HostBoard.NATIVE.PlatformName() == 'darwin'): app_targets.append(target.Extend( 'chip-tool-darwin', app=HostApp.CHIP_TOOL_DARWIN)) app_targets.append(target.Extend('chip-tool', app=HostApp.CHIP_TOOL)) app_targets.append(target.Extend('thermostat', app=HostApp.THERMOSTAT)) app_targets.append(target.Extend('minmdns', app=HostApp.MIN_MDNS))","board_target in board_targets: builder.targets.append(board_target.Extend( 'window-covering', app=Efr32App.WINDOW_COVERING)) builder.targets.append(board_target.Extend( 'switch', app=Efr32App.SWITCH)) builder.targets.append(board_target.Extend( 'unit-test', app=Efr32App.UNIT_TEST)) builder.targets.append(","set([item.name for item in items]) for item in items: for requirement in item.requires:","target.Extend('arm-chip-tv-casting-app', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TV_CASTING_APP) def MbedTargets(): target = Target('mbed', MbedBuilder) targets = [ target.Extend('CY8CPROTO_062_4343W',","compiles # because libreadline is not part of the default sysroot yield target.GlobBlacklist('Arm","Note that number of potential # builds is exponential here builder.AppendVariant(name=\"rpc\", validator=AcceptNameWithSubstrings( ['-light',","('nl-test-runner' in target.name): # Single-variant builds yield target else: builder.targets.append(target) for target in","item in items]) for item in items: for requirement in item.requires: if requirement","for the specific language governing permissions and # limitations under the License. import","not variant_target.IsGlobBlacklisted: variant_target = variant_target.GlobBlacklist( 'Reduce default build variants') yield variant_target def HostTargets():","\"-\" as separator to the clone name **kargs: arguments needed to produce the","self.substr = substr def Accept(self, name: str): for s in self.substr: if s","this target ok_variants = [ v for v in self.variants if v.validator.Accept(target.name)] #","' 'https://pigweed-review.googlesource.com/c/pigweed/pigweed/+/66760') yield rpc def AndroidTargets(): target = Target('android', AndroidBuilder) yield target.Extend('arm-chip-tool', board=AndroidBoard.ARM,","a few are whitelisted for globs name = '-'.join([o.name for o in subgroup])","'-no-interactive' not in target.name: # Interactive builds will not compile by default on","for all-clusters and lighting app only yield target.Extend('nrf52840dongle-all-clusters', board=NrfBoard.NRF52840DONGLE, app=NrfApp.ALL_CLUSTERS) yield target.Extend('nrf52840dongle-light', board=NrfBoard.NRF52840DONGLE,","from builders.cc13x2x7_26x2x7 import cc13x2x7_26x2x7App, cc13x2x7_26x2x7Builder from builders.cyw30739 import Cyw30739App, Cyw30739Board, Cyw30739Builder from builders.efr32","= target.Extend('light-rpc', app=NrfApp.LIGHT, enable_rpcs=True) if '-nrf5340dk-' in rpc.name: rpc = rpc.GlobBlacklist( 'Compile failure","app=HostApp.ADDRESS_RESOLVE, use_clang=True).GlobBlacklist(\"Reduce default build variants\") yield target_native.Extend('address-resolve-tool-platform-mdns', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True).GlobBlacklist(\"Reduce default build variants\") yield","esp32_target.Extend('c3devkit-all-clusters', board=Esp32Board.C3DevKit, app=Esp32App.ALL_CLUSTERS) devkitc = esp32_target.Extend('devkitc', board=Esp32Board.DevKitC) yield devkitc.Extend('all-clusters', app=Esp32App.ALL_CLUSTERS) yield devkitc.Extend('all-clusters-ipv6only', app=Esp32App.ALL_CLUSTERS,","target = Target('nrf', NrfConnectBuilder) yield target.Extend('native-posix-64-tests', board=NrfBoard.NATIVE_POSIX_64, app=NrfApp.UNIT_TESTS) targets = [ target.Extend('nrf5340dk', board=NrfBoard.NRF5340DK),","builders.bl602 import Bl602App, Bl602Board, Bl602Builder from builders.imx import IMXApp, IMXBuilder class Target: \"\"\"Represents","clone.glob_blacklist_reason = reason return clone @property def IsGlobBlacklisted(self): return self.glob_blacklist_reason is not None","the specified variant to be allowed for globbing. By default we do not","if '-nrf5340dk-' in rpc.name: rpc = rpc.GlobBlacklist( 'Compile failure due to pw_build args","target # skip variants that do not work for this target ok_variants =","on demand build\") yield target.Extend('light-release-no-ota', app=K32WApp.LIGHT, tokenizer=True, disable_ota=True, release=True) yield target.Extend('shell-release', app=K32WApp.SHELL, release=True)","builder def GlobBlacklist(self, reason): clone = self.Clone() if clone.glob_blacklist_reason: clone.glob_blacklist_reason += \", \"","GlobBlacklistReason(self): return self.glob_blacklist_reason class AcceptAnyName: def Accept(self, name: str): return True class AcceptNameWithSubstrings:","Build every possible variant for variant_count in range(1, len(ok_variants) + 1): for subgroup","yield ameba_target.Extend('amebad-light', board=AmebaBoard.AMEBAD, app=AmebaApp.LIGHT) yield ameba_target.Extend('amebad-pigweed', board=AmebaBoard.AMEBAD, app=AmebaApp.PIGWEED) def K32WTargets(): target = Target('k32w',","targets: app_targets.append(target.Extend('lock', app=MbedApp.LOCK)) app_targets.append(target.Extend('light', app=MbedApp.LIGHT)) app_targets.append(target.Extend( 'all-clusters', app=MbedApp.ALL_CLUSTERS)) app_targets.append(target.Extend('pigweed', app=MbedApp.PIGWEED)) app_targets.append(target.Extend('shell', app=MbedApp.SHELL)) for","board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm-chip-tvserver', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TVServer) yield target.Extend('x86-chip-tvserver', board=AndroidBoard.X86, app=AndroidApp.CHIP_TVServer) yield target.Extend('x64-chip-tvserver', board=AndroidBoard.X64,","app=K32WApp.LIGHT, release=True, disable_ble=True, se05x=True).GlobBlacklist(\"Only on demand build\") yield target.Extend('light-release-no-ota', app=K32WApp.LIGHT, tokenizer=True, disable_ota=True, release=True)","board=AndroidBoard.X86, app=AndroidApp.CHIP_TVServer) yield target.Extend('x64-chip-tvserver', board=AndroidBoard.X64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm64-chip-tv-casting-app', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TV_CASTING_APP) yield target.Extend('arm-chip-tv-casting-app', board=AndroidBoard.ARM,","name, builder_class, **kwargs): self.name = name self.builder_class = builder_class self.glob_blacklist_reason = None self.create_kw_args","due to pw_build args not forwarded to proto compiler. ' 'https://pigweed-review.googlesource.com/c/pigweed/pigweed/+/66760') yield rpc","Efr32App, Efr32Board, Efr32Builder from builders.esp32 import Esp32App, Esp32Board, Esp32Builder from builders.host import HostApp,","target.Extend('p6-all-clusters', board=InfineonBoard.P6BOARD, app=InfineonApp.ALL_CLUSTERS) yield target.Extend('p6-light', board=InfineonBoard.P6BOARD, app=InfineonApp.LIGHT) def AmebaTargets(): ameba_target = Target('ameba', AmebaBuilder)","app=HostApp.CHIP_TOOL)) app_targets.append(target.Extend('thermostat', app=HostApp.THERMOSTAT)) app_targets.append(target.Extend('minmdns', app=HostApp.MIN_MDNS)) app_targets.append(target.Extend('light', app=HostApp.LIGHT)) app_targets.append(target.Extend('lock', app=HostApp.LOCK)) app_targets.append(target.Extend('shell', app=HostApp.SHELL)) app_targets.append(target.Extend( 'ota-provider',","(the \"License\"); # you may not use this file except in compliance with","list \"\"\" available = set([item.name for item in items]) for item in items:","itertools import combinations from typing import List from builders.ameba import AmebaApp, AmebaBoard, AmebaBuilder","use_clang=True).GlobBlacklist(\"Reduce default build variants\") yield target_native.Extend('address-resolve-tool-platform-mdns', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True).GlobBlacklist(\"Reduce default build variants\") yield target_native.Extend('address-resolve-tool-platform-mdns-ipv6only',","yield target.Extend('x86-chip-tool', board=AndroidBoard.X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-test', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TEST) yield target.Extend('androidstudio-arm-chip-tool', board=AndroidBoard.AndroidStudio_ARM, app=AndroidApp.CHIP_TOOL) yield","# Unless required by applicable law or agreed to in writing, software #","extra build variants yield target_native.Extend('chip-cert', app=HostApp.CERT_TOOL) yield target_native.Extend('address-resolve-tool', app=HostApp.ADDRESS_RESOLVE) yield target_native.Extend('address-resolve-tool-clang', app=HostApp.ADDRESS_RESOLVE, use_clang=True).GlobBlacklist(\"Reduce","by applicable law or agreed to in writing, software # distributed under the","Target('k32w', K32WBuilder) yield target.Extend('light-ota-se', app=K32WApp.LIGHT, release=True, disable_ble=True, se05x=True).GlobBlacklist(\"Only on demand build\") yield target.Extend('light-release-no-ota',","yield target.Extend('x64-chip-tvserver', board=AndroidBoard.X64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm64-chip-tv-casting-app', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TV_CASTING_APP) yield target.Extend('arm-chip-tv-casting-app', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TV_CASTING_APP) def","plus parameters on how to build it (what builder class to use and","yield target.Extend('all-clusters-app-release', app=IMXApp.ALL_CLUSTERS, release=True) yield target.Extend('ota-provider-app-release', app=IMXApp.OTA_PROVIDER, release=True) ALL = [] target_generators =","items]) for item in items: for requirement in item.requires: if requirement not in","yield target.Extend('pump-controller', app=cc13x2x7_26x2x7App.PUMP_CONTROLLER) yield target.Extend('all-clusters', app=cc13x2x7_26x2x7App.ALL_CLUSTERS) yield target.Extend('shell', app=cc13x2x7_26x2x7App.SHELL) def Cyw30739Targets(): yield Target('cyw30739-cyw930739m2evb_01-light',","app=Efr32App.LIGHT)) builder.targets.append(board_target.Extend('lock', app=Efr32App.LOCK)) # Possible build variants. Note that number of potential #","target.Extend('lock', app=NrfApp.LOCK) yield target.Extend('light', app=NrfApp.LIGHT) yield target.Extend('shell', app=NrfApp.SHELL) yield target.Extend('pump', app=NrfApp.PUMP) yield target.Extend('pump-controller',","with a \"-\" as separator to the clone name **kargs: arguments needed to","not in available: return False return True class VariantBuilder: \"\"\"Handles creating multiple build","file except in compliance with the License. # You may obtain a copy","esp32_target.Extend('m5stack-all-clusters-rpc', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True) yield esp32_target.Extend('m5stack-all-clusters-rpc-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True, enable_ipv4=False) yield esp32_target.Extend('c3devkit-all-clusters', board=Esp32Board.C3DevKit,","from builders.bl602 import Bl602App, Bl602Board, Bl602Builder from builders.imx import IMXApp, IMXBuilder class Target:","'only user requested') ] builder = VariantBuilder() for board_target in board_targets: builder.targets.append(board_target.Extend( 'window-covering',","builders.qpg import QpgApp, QpgBoard, QpgBuilder from builders.telink import TelinkApp, TelinkBoard, TelinkBuilder from builders.tizen","yield ameba_target.Extend('amebad-all-clusters', board=AmebaBoard.AMEBAD, app=AmebaApp.ALL_CLUSTERS) yield ameba_target.Extend('amebad-light', board=AmebaBoard.AMEBAD, app=AmebaApp.LIGHT) yield ameba_target.Extend('amebad-pigweed', board=AmebaBoard.AMEBAD, app=AmebaApp.PIGWEED) def","AndroidTargets(): target = Target('android', AndroidBuilder) yield target.Extend('arm-chip-tool', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tool', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TOOL)","K32WApp, K32WBuilder from builders.mbed import MbedApp, MbedBoard, MbedBuilder, MbedProfile from builders.nrf import NrfApp,","in target_generators: for target in generator: ALL.append(target) # Simple targets added one by","board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR, progress_logging=False) def QorvoTargets(): target = Target('qpg', QpgBuilder) yield target.Extend('lock', board=QpgBoard.QPG6105, app=QpgApp.LOCK)","target.Extend('pump', app=cc13x2x7_26x2x7App.PUMP) yield target.Extend('pump-controller', app=cc13x2x7_26x2x7App.PUMP_CONTROLLER) yield target.Extend('all-clusters', app=cc13x2x7_26x2x7App.ALL_CLUSTERS) yield target.Extend('shell', app=cc13x2x7_26x2x7App.SHELL) def Cyw30739Targets():","board=AndroidBoard.X64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm64-chip-tv-casting-app', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TV_CASTING_APP) yield target.Extend('arm-chip-tv-casting-app', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TV_CASTING_APP) def MbedTargets(): target","disable_ota=True, release=True) yield target.Extend('shell-release', app=K32WApp.SHELL, release=True) yield target.Extend('lock-release', app=K32WApp.LOCK, release=True) yield target.Extend('lock-low-power-release', app=K32WApp.LOCK,","one ALL.append(Target('telink-tlsr9518adk80d-light', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.LIGHT)) ALL.append(Target('telink-tlsr9518adk80d-light-switch', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.SWITCH)) # have a consistent","in builder.AllVariants(): yield target def Bl602Targets(): target = Target('bl602', Bl602Builder) yield target.Extend('light', board=Bl602Board.BL602BOARD,","build\") yield target.Extend('light-release-no-ota', app=K32WApp.LIGHT, tokenizer=True, disable_ota=True, release=True) yield target.Extend('shell-release', app=K32WApp.SHELL, release=True) yield target.Extend('lock-release',","= esp32_target.Extend('devkitc', board=Esp32Board.DevKitC) yield devkitc.Extend('all-clusters', app=Esp32App.ALL_CLUSTERS) yield devkitc.Extend('all-clusters-ipv6only', app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield devkitc.Extend('shell', app=Esp32App.SHELL)","= targets[:] self.variants = [] self.glob_whitelist = [] def WhitelistVariantNameForGlob(self, name): \"\"\" Whitelist","that number of potential # builds is exponential here builder.AppendVariant(name=\"rpc\", validator=AcceptNameWithSubstrings( ['-light', '-lock']),","ALL.append(Target('telink-tlsr9518adk80d-light', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.LIGHT)) ALL.append(Target('telink-tlsr9518adk80d-light-switch', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.SWITCH)) # have a consistent order","b.conflicts) or (b.name in a.conflicts): return True return False def AllRequirementsMet(items: List[BuildVariant]) ->","Target('nrf', NrfConnectBuilder) yield target.Extend('native-posix-64-tests', board=NrfBoard.NATIVE_POSIX_64, app=NrfApp.UNIT_TESTS) targets = [ target.Extend('nrf5340dk', board=NrfBoard.NRF5340DK), target.Extend('nrf52840dk', board=NrfBoard.NRF52840DK),","builds is exponential here builder.AppendVariant(name=\"same-event-loop\", validator=AcceptNameWithSubstrings( ['-chip-tool', '-chip-tool-darwin']), separate_event_loop=False), builder.AppendVariant(name=\"no-interactive\", validator=AcceptNameWithSubstrings( ['-chip-tool']), interactive_mode=False),","OR CONDITIONS OF ANY KIND, either express or implied. # See the License","may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #","board=AndroidBoard.AndroidStudio_X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tvserver', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm-chip-tvserver', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TVServer) yield target.Extend('x86-chip-tvserver', board=AndroidBoard.X86,","# Enable nrf52840dongle for all-clusters and lighting app only yield target.Extend('nrf52840dongle-all-clusters', board=NrfBoard.NRF52840DONGLE, app=NrfApp.ALL_CLUSTERS)","build variants\") yield target_native.Extend('address-resolve-tool-platform-mdns', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True).GlobBlacklist(\"Reduce default build variants\") yield target_native.Extend('address-resolve-tool-platform-mdns-ipv6only', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True,","default sysroot yield target.GlobBlacklist('Arm crosscompile does not support libreadline-dev') else: yield target #","in target.name and '-no-interactive' not in target.name: # Interactive builds will not compile","self.Clone() if clone.glob_blacklist_reason: clone.glob_blacklist_reason += \", \" clone.glob_blacklist_reason += reason else: clone.glob_blacklist_reason =","app_targets.append( target_native.Extend('tv-casting-app', app=HostApp.TV_CASTING_APP)) app_targets.append( target_native.Extend('nl-test-runner', app=HostApp.NL_TEST_RUNNER)) for target in targets: app_targets.append(target.Extend( 'all-clusters', app=HostApp.ALL_CLUSTERS))","if name not in self.glob_whitelist: if not variant_target.IsGlobBlacklisted: variant_target = variant_target.GlobBlacklist( 'Reduce default","if (a.name in b.conflicts) or (b.name in a.conflicts): return True return False def","for target in app_targets: if ('-rpc-console' in target.name) or ('-python-bindings' in target.name) or","clone of the current object extending its build parameters. Arguments: suffix: appended with","yield esp32_target.Extend('m5stack-all-clusters-rpc-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True, enable_ipv4=False) yield esp32_target.Extend('c3devkit-all-clusters', board=Esp32Board.C3DevKit, app=Esp32App.ALL_CLUSTERS) devkitc = esp32_target.Extend('devkitc',","app_targets.append(target.Extend( 'chip-tool-darwin', app=HostApp.CHIP_TOOL_DARWIN)) app_targets.append(target.Extend('chip-tool', app=HostApp.CHIP_TOOL)) app_targets.append(target.Extend('thermostat', app=HostApp.THERMOSTAT)) app_targets.append(target.Extend('minmdns', app=HostApp.MIN_MDNS)) app_targets.append(target.Extend('light', app=HostApp.LIGHT)) app_targets.append(target.Extend('lock', app=HostApp.LOCK))","extending its build parameters. Arguments: suffix: appended with a \"-\" as separator to","\"\"\" self.variants.append(BuildVariant(**args)) def AllVariants(self): \"\"\" Yields a list of acceptable variants for the","AppendVariant(self, **args): \"\"\" Add another variant to accepted variants. Arguments are construction variants","in available: return False return True class VariantBuilder: \"\"\"Handles creating multiple build variants","target in targets: app_targets.append(target.Extend('lock', app=MbedApp.LOCK)) app_targets.append(target.Extend('light', app=MbedApp.LIGHT)) app_targets.append(target.Extend( 'all-clusters', app=MbedApp.ALL_CLUSTERS)) app_targets.append(target.Extend('pigweed', app=MbedApp.PIGWEED)) app_targets.append(target.Extend('shell',","'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') yield target.Extend('debug', profile=MbedProfile.DEBUG).GlobBlacklist( 'Compile only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') def","on how to build it (what builder class to use and what arguments","board=InfineonBoard.P6BOARD, app=InfineonApp.ALL_CLUSTERS) yield target.Extend('p6-light', board=InfineonBoard.P6BOARD, app=InfineonApp.LIGHT) def AmebaTargets(): ameba_target = Target('ameba', AmebaBuilder) yield","from typing import List from builders.ameba import AmebaApp, AmebaBoard, AmebaBuilder from builders.android import","app=IMXApp.ALL_CLUSTERS, release=True) yield target.Extend('ota-provider-app-release', app=IMXApp.OTA_PROVIDER, release=True) ALL = [] target_generators = [ HostTargets(),","devkitc.Extend('temperature-measurement-rpc', app=Esp32App.TEMPERATURE_MEASUREMENT, enable_rpcs=True) yield esp32_target.Extend('qemu-tests', board=Esp32Board.QEMU, app=Esp32App.TESTS) def Efr32Targets(): efr_target = Target('efr32', Efr32Builder)","TelinkBuilder from builders.tizen import TizenApp, TizenBoard, TizenBuilder from builders.bl602 import Bl602App, Bl602Board, Bl602Builder","target_generators = [ HostTargets(), Esp32Targets(), Efr32Targets(), NrfTargets(), AndroidTargets(), MbedTargets(), InfineonTargets(), AmebaTargets(), K32WTargets(), cc13x2x7_26x2x7Targets(),","board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS) yield esp32_target.Extend('m5stack-all-clusters-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield esp32_target.Extend('m5stack-all-clusters-rpc', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True) yield","app_targets.append(target.Extend('lock', app=HostApp.LOCK)) app_targets.append(target.Extend('shell', app=HostApp.SHELL)) app_targets.append(target.Extend( 'ota-provider', app=HostApp.OTA_PROVIDER, enable_ble=False)) app_targets.append(target.Extend( 'ota-requestor', app=HostApp.OTA_REQUESTOR, enable_ble=False)) app_targets.append(target.Extend('python-bindings',","enable_ota_requestor=True) builder.WhitelistVariantNameForGlob('rpc') for target in builder.AllVariants(): yield target def NrfTargets(): target = Target('nrf',","not in target.name: # Interactive builds will not compile by default on arm","yield target.Extend('thermostat', app=IMXApp.THERMOSTAT) yield target.Extend('all-clusters-app', app=IMXApp.ALL_CLUSTERS) yield target.Extend('ota-provider-app', app=IMXApp.OTA_PROVIDER) yield target.Extend('chip-tool-release', app=IMXApp.CHIP_TOOL, release=True)","builder.AppendVariant(name=\"asan\", use_asan=True) target = Target('tizen-arm', TizenBuilder, board=TizenBoard.ARM) builder.targets.append(target.Extend('light', app=TizenApp.LIGHT)) for target in builder.AllVariants():","ALL = [] target_generators = [ HostTargets(), Esp32Targets(), Efr32Targets(), NrfTargets(), AndroidTargets(), MbedTargets(), InfineonTargets(),","TizenTargets(), Bl602Targets(), IMXTargets(), ] for generator in target_generators: for target in generator: ALL.append(target)","board=Efr32Board.BRD4166A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4170a', board=Efr32Board.BRD4170A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4186a', board=Efr32Board.BRD4186A).GlobBlacklist( 'only user","app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-arm64-chip-tool', board=AndroidBoard.AndroidStudio_ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x86-chip-tool', board=AndroidBoard.AndroidStudio_X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x64-chip-tool', board=AndroidBoard.AndroidStudio_X64, app=AndroidApp.CHIP_TOOL)","ready to be created - no conflicts variant_target = target.Clone() for option in","app=NrfApp.SHELL) yield target.Extend('pump', app=NrfApp.PUMP) yield target.Extend('pump-controller', app=NrfApp.PUMP_CONTROLLER) rpc = target.Extend('light-rpc', app=NrfApp.LIGHT, enable_rpcs=True) if","in app_targets: yield target.Extend('release', profile=MbedProfile.RELEASE) yield target.Extend('develop', profile=MbedProfile.DEVELOP).GlobBlacklist( 'Compile only for debugging purpose","board=Esp32Board.C3DevKit, app=Esp32App.ALL_CLUSTERS) devkitc = esp32_target.Extend('devkitc', board=Esp32Board.DevKitC) yield devkitc.Extend('all-clusters', app=Esp32App.ALL_CLUSTERS) yield devkitc.Extend('all-clusters-ipv6only', app=Esp32App.ALL_CLUSTERS, enable_ipv4=False)","InfineonApp, InfineonBoard, InfineonBuilder from builders.k32w import K32WApp, K32WBuilder from builders.mbed import MbedApp, MbedBoard,","Esp32App, Esp32Board, Esp32Builder from builders.host import HostApp, HostBoard, HostBuilder from builders.infineon import InfineonApp,","bool): builder = self.builder_class( repository_path, runner=runner, **self.create_kw_args) builder.target = self builder.identifier = self.name","List[str]): self.substr = substr def Accept(self, name: str): for s in self.substr: if","given targets. Handles conflict resolution between build variants and globbing whitelist targets. \"\"\"","build variants. Note that number of potential # builds is exponential here builder.AppendVariant(name=\"same-event-loop\",","TizenApp, TizenBoard, TizenBuilder from builders.bl602 import Bl602App, Bl602Board, Bl602Builder from builders.imx import IMXApp,","progress_logging=False) def QorvoTargets(): target = Target('qpg', QpgBuilder) yield target.Extend('lock', board=QpgBoard.QPG6105, app=QpgApp.LOCK) yield target.Extend('light',","'build all' to select all variants, so variants are generally glob-blacklisted. \"\"\" self.glob_whitelist.append(name)","target.name and '-no-interactive' not in target.name: # Interactive builds will not compile by","variants yield target_native.Extend('chip-cert', app=HostApp.CERT_TOOL) yield target_native.Extend('address-resolve-tool', app=HostApp.ADDRESS_RESOLVE) yield target_native.Extend('address-resolve-tool-clang', app=HostApp.ADDRESS_RESOLVE, use_clang=True).GlobBlacklist(\"Reduce default build","part of the default sysroot yield target.GlobBlacklist('Arm crosscompile does not support libreadline-dev') else:","yield target.Extend('lock-low-power-release', app=K32WApp.LOCK, low_power=True, release=True).GlobBlacklist(\"Only on demand build\") def cc13x2x7_26x2x7Targets(): target = Target('cc13x2x7_26x2x7',","yield target.Extend('all-clusters', app=NrfApp.ALL_CLUSTERS) yield target.Extend('lock', app=NrfApp.LOCK) yield target.Extend('light', app=NrfApp.LIGHT) yield target.Extend('shell', app=NrfApp.SHELL) yield","import NrfApp, NrfBoard, NrfConnectBuilder from builders.qpg import QpgApp, QpgBoard, QpgBuilder from builders.telink import","def __init__(self, name, builder_class, **kwargs): self.name = name self.builder_class = builder_class self.glob_blacklist_reason =","# NOTE: The number of potential builds is exponential here. builder = VariantBuilder()","target.Extend('arm-chip-tvserver', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TVServer) yield target.Extend('x86-chip-tvserver', board=AndroidBoard.X86, app=AndroidApp.CHIP_TVServer) yield target.Extend('x64-chip-tvserver', board=AndroidBoard.X64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm64-chip-tv-casting-app',","\"\"\" self.glob_whitelist.append(name) def AppendVariant(self, **args): \"\"\" Add another variant to accepted variants. Arguments","to BuildVariant. Example usage: builder.AppendVariant(name=\"ipv6only\", enable_ipv4=False) \"\"\" self.variants.append(BuildVariant(**args)) def AllVariants(self): \"\"\" Yields a","target.name: # Interactive builds will not compile by default on arm cross compiles","target.Extend('x64-chip-tool', board=AndroidBoard.X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x86-chip-tool', board=AndroidBoard.X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-test', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TEST) yield target.Extend('androidstudio-arm-chip-tool',","cross compiles # because libreadline is not part of the default sysroot yield","flash space\") yield Target('cyw30739-cyw930739m2evb_01-ota-requestor-no-progress-logging', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR, progress_logging=False) def QorvoTargets(): target = Target('qpg',","'Compile only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') def InfineonTargets(): target = Target('infineon',","app=NrfApp.ALL_CLUSTERS) yield target.Extend('nrf52840dongle-light', board=NrfBoard.NRF52840DONGLE, app=NrfApp.LIGHT) for target in targets: yield target.Extend('all-clusters', app=NrfApp.ALL_CLUSTERS) yield","None self.create_kw_args = kwargs def Clone(self): \"\"\"Creates a clone of self.\"\"\" clone =","TelinkBoard, TelinkBuilder from builders.tizen import TizenApp, TizenBoard, TizenBuilder from builders.bl602 import Bl602App, Bl602Board,","Esp32Targets(), Efr32Targets(), NrfTargets(), AndroidTargets(), MbedTargets(), InfineonTargets(), AmebaTargets(), K32WTargets(), cc13x2x7_26x2x7Targets(), Cyw30739Targets(), QorvoTargets(), TizenTargets(), Bl602Targets(),","NrfApp, NrfBoard, NrfConnectBuilder from builders.qpg import QpgApp, QpgBoard, QpgBuilder from builders.telink import TelinkApp,","builders.mbed import MbedApp, MbedBoard, MbedBuilder, MbedProfile from builders.nrf import NrfApp, NrfBoard, NrfConnectBuilder from","app=Esp32App.ALL_CLUSTERS, enable_rpcs=True) yield esp32_target.Extend('m5stack-all-clusters-rpc-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True, enable_ipv4=False) yield esp32_target.Extend('c3devkit-all-clusters', board=Esp32Board.C3DevKit, app=Esp32App.ALL_CLUSTERS) devkitc","target.Extend('shell', app=cc13x2x7_26x2x7App.SHELL) def Cyw30739Targets(): yield Target('cyw30739-cyw930739m2evb_01-light', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LIGHT) yield Target('cyw30739-cyw930739m2evb_01-lock', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01,","return False class BuildVariant: def __init__(self, name: str, validator=AcceptAnyName(), conflicts: List[str] = [],","'arm64' in target.name and '-no-interactive' not in target.name: # Interactive builds will not","yield variant_target def HostTargets(): target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) target_native = target.Extend(HostBoard.NATIVE.BoardName(), board=HostBoard.NATIVE) targets","Check that item.requires is satisfied for all items in the given list \"\"\"","Licensed under the Apache License, Version 2.0 (the \"License\"); # you may not","targets: List[Target] = []): # note the clone in case the default arg","name: return True return False class BuildVariant: def __init__(self, name: str, validator=AcceptAnyName(), conflicts:","se05x=True).GlobBlacklist(\"Only on demand build\") yield target.Extend('light-release-no-ota', app=K32WApp.LIGHT, tokenizer=True, disable_ota=True, release=True) yield target.Extend('shell-release', app=K32WApp.SHELL,","from itertools import combinations from typing import List from builders.ameba import AmebaApp, AmebaBoard,","def HasConflicts(items: List[BuildVariant]) -> bool: for a, b in combinations(items, 2): if (a.name","yield esp32_target.Extend('m5stack-all-clusters-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield esp32_target.Extend('m5stack-all-clusters-rpc', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True) yield esp32_target.Extend('m5stack-all-clusters-rpc-ipv6only', board=Esp32Board.M5Stack,","app_targets.append(target.Extend('light', app=HostApp.LIGHT)) app_targets.append(target.Extend('lock', app=HostApp.LOCK)) app_targets.append(target.Extend('shell', app=HostApp.SHELL)) app_targets.append(target.Extend( 'ota-provider', app=HostApp.OTA_PROVIDER, enable_ble=False)) app_targets.append(target.Extend( 'ota-requestor', app=HostApp.OTA_REQUESTOR,","target_native.Extend('tv-casting-app', app=HostApp.TV_CASTING_APP)) app_targets.append( target_native.Extend('nl-test-runner', app=HostApp.NL_TEST_RUNNER)) for target in targets: app_targets.append(target.Extend( 'all-clusters', app=HostApp.ALL_CLUSTERS)) if","build\") def cc13x2x7_26x2x7Targets(): target = Target('cc13x2x7_26x2x7', cc13x2x7_26x2x7Builder) yield target.Extend('lock-ftd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=True) yield target.Extend('lock-mtd',","str): for s in self.substr: if s in name: return True return False","app=AmebaApp.LIGHT) yield ameba_target.Extend('amebad-pigweed', board=AmebaBoard.AMEBAD, app=AmebaApp.PIGWEED) def K32WTargets(): target = Target('k32w', K32WBuilder) yield target.Extend('light-ota-se',","is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF","'only user requested'), efr_target.Extend('brd4170a', board=Efr32Board.BRD4170A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4186a', board=Efr32Board.BRD4186A).GlobBlacklist( 'only user requested'),","Bl602Targets(), IMXTargets(), ] for generator in target_generators: for target in generator: ALL.append(target) #","Possible build variants. Note that number of potential # builds is exponential here","app=NrfApp.LIGHT) for target in targets: yield target.Extend('all-clusters', app=NrfApp.ALL_CLUSTERS) yield target.Extend('lock', app=NrfApp.LOCK) yield target.Extend('light',","do not work for this target ok_variants = [ v for v in","yield target # Without extra build variants yield target_native.Extend('chip-cert', app=HostApp.CERT_TOOL) yield target_native.Extend('address-resolve-tool', app=HostApp.ADDRESS_RESOLVE)","AmebaApp, AmebaBoard, AmebaBuilder from builders.android import AndroidApp, AndroidBoard, AndroidBuilder from builders.cc13x2x7_26x2x7 import cc13x2x7_26x2x7App,","Bl602Builder) yield target.Extend('light', board=Bl602Board.BL602BOARD, app=Bl602App.LIGHT) def IMXTargets(): target = Target('imx', IMXBuilder) yield target.Extend('chip-tool',","generator: ALL.append(target) # Simple targets added one by one ALL.append(Target('telink-tlsr9518adk80d-light', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.LIGHT))","to select all variants, so variants are generally glob-blacklisted. \"\"\" self.glob_whitelist.append(name) def AppendVariant(self,","Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR).GlobBlacklist( \"Running out of XIP flash space\") yield Target('cyw30739-cyw930739m2evb_01-ota-requestor-no-progress-logging', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01,","= self.Clone() clone.name += \"-\" + suffix clone.create_kw_args.update(kargs) return clone def Create(self, runner,","want a 'build all' to select all variants, so variants are generally glob-blacklisted.","# Single-variant builds yield target else: builder.targets.append(target) for target in builder.AllVariants(): if cross_compile","= Target('qpg', QpgBuilder) yield target.Extend('lock', board=QpgBoard.QPG6105, app=QpgApp.LOCK) yield target.Extend('light', board=QpgBoard.QPG6105, app=QpgApp.LIGHT) yield target.Extend('shell',","satisfied for all items in the given list \"\"\" available = set([item.name for","self.glob_whitelist: if not variant_target.IsGlobBlacklisted: variant_target = variant_target.GlobBlacklist( 'Reduce default build variants') yield variant_target","use_asan=True), builder.AppendVariant(name=\"libfuzzer\", requires=[ \"clang\"], use_libfuzzer=True), builder.AppendVariant(name=\"clang\", use_clang=True), builder.AppendVariant(name=\"test\", extra_tests=True), builder.WhitelistVariantNameForGlob('no-interactive-ipv6only') builder.WhitelistVariantNameForGlob('ipv6only') for target","def QorvoTargets(): target = Target('qpg', QpgBuilder) yield target.Extend('lock', board=QpgBoard.QPG6105, app=QpgApp.LOCK) yield target.Extend('light', board=QpgBoard.QPG6105,","self.validator = validator self.conflicts = conflicts self.buildargs = buildargs self.requires = requires def","use_asan=True) target = Target('tizen-arm', TizenBuilder, board=TizenBoard.ARM) builder.targets.append(target.Extend('light', app=TizenApp.LIGHT)) for target in builder.AllVariants(): yield","the License for the specific language governing permissions and # limitations under the","for generator in target_generators: for target in generator: ALL.append(target) # Simple targets added","arguments are required to produce the specified build) \"\"\" def __init__(self, name, builder_class,","Authors # # Licensed under the Apache License, Version 2.0 (the \"License\"); #","Cyw30739Targets(): yield Target('cyw30739-cyw930739m2evb_01-light', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LIGHT) yield Target('cyw30739-cyw930739m2evb_01-lock', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LOCK) yield Target('cyw30739-cyw930739m2evb_01-ota-requestor',","target.Extend('arm64-chip-tool', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x64-chip-tool', board=AndroidBoard.X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x86-chip-tool', board=AndroidBoard.X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-test',","target in targets: app_targets.append(target.Extend( 'all-clusters', app=HostApp.ALL_CLUSTERS)) if (HostBoard.NATIVE.PlatformName() == 'darwin'): app_targets.append(target.Extend( 'chip-tool-darwin', app=HostApp.CHIP_TOOL_DARWIN))","Whitelist the specified variant to be allowed for globbing. By default we do","globbing whitelist targets. \"\"\" for target in self.targets: yield target # skip variants","target.Extend('debug', profile=MbedProfile.DEBUG).GlobBlacklist( 'Compile only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') def InfineonTargets(): target","target.Extend('p6-lock', board=InfineonBoard.P6BOARD, app=InfineonApp.LOCK) yield target.Extend('p6-all-clusters', board=InfineonBoard.P6BOARD, app=InfineonApp.ALL_CLUSTERS) yield target.Extend('p6-light', board=InfineonBoard.P6BOARD, app=InfineonApp.LIGHT) def AmebaTargets():","yield target.Extend('persistent-storage', board=QpgBoard.QPG6105, app=QpgApp.PERSISTENT_STORAGE) def TizenTargets(): # Possible build variants. # NOTE: The","target.Extend('x86-chip-tool', board=AndroidBoard.X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-test', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TEST) yield target.Extend('androidstudio-arm-chip-tool', board=AndroidBoard.AndroidStudio_ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-arm64-chip-tool',","board=AndroidBoard.AndroidStudio_X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x64-chip-tool', board=AndroidBoard.AndroidStudio_X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tvserver', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm-chip-tvserver', board=AndroidBoard.ARM,","# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. #","and what arguments are required to produce the specified build) \"\"\" def __init__(self,","Efr32Targets(): efr_target = Target('efr32', Efr32Builder) board_targets = [ efr_target.Extend('brd4161a', board=Efr32Board.BRD4161A), efr_target.Extend('brd4163a', board=Efr32Board.BRD4163A).GlobBlacklist( 'only","!= HostBoard.ARM64.BoardName()) if cross_compile: targets.append(target.Extend('arm64', board=HostBoard.ARM64)) app_targets = [] # Don't cross compile","target.Extend('lock-release', app=K32WApp.LOCK, release=True) yield target.Extend('lock-low-power-release', app=K32WApp.LOCK, low_power=True, release=True).GlobBlacklist(\"Only on demand build\") def cc13x2x7_26x2x7Targets():","NrfBoard, NrfConnectBuilder from builders.qpg import QpgApp, QpgBoard, QpgBuilder from builders.telink import TelinkApp, TelinkBoard,","Target('qpg', QpgBuilder) yield target.Extend('lock', board=QpgBoard.QPG6105, app=QpgApp.LOCK) yield target.Extend('light', board=QpgBoard.QPG6105, app=QpgApp.LIGHT) yield target.Extend('shell', board=QpgBoard.QPG6105,","app=Esp32App.SHELL) yield devkitc.Extend('light', app=Esp32App.LIGHT) yield devkitc.Extend('lock', app=Esp32App.LOCK) yield devkitc.Extend('bridge', app=Esp32App.BRIDGE) yield devkitc.Extend('temperature-measurement', app=Esp32App.TEMPERATURE_MEASUREMENT)","self.buildargs = buildargs self.requires = requires def HasConflicts(items: List[BuildVariant]) -> bool: for a,","self.conflicts = conflicts self.buildargs = buildargs self.requires = requires def HasConflicts(items: List[BuildVariant]) ->","or ('nl-test-runner' in target.name): # Single-variant builds yield target else: builder.targets.append(target) for target","board=Efr32Board.BRD4163A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4164a', board=Efr32Board.BRD4164A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4166a', board=Efr32Board.BRD4166A).GlobBlacklist( 'only user","= kwargs def Clone(self): \"\"\"Creates a clone of self.\"\"\" clone = Target(self.name, self.builder_class,","app=TizenApp.LIGHT)) for target in builder.AllVariants(): yield target def Bl602Targets(): target = Target('bl602', Bl602Builder)","\"\"\" available = set([item.name for item in items]) for item in items: for","app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield devkitc.Extend('shell', app=Esp32App.SHELL) yield devkitc.Extend('light', app=Esp32App.LIGHT) yield devkitc.Extend('lock', app=Esp32App.LOCK) yield devkitc.Extend('bridge',","return False def AllRequirementsMet(items: List[BuildVariant]) -> bool: \"\"\" Check that item.requires is satisfied","['-light', '-lock']), enable_rpcs=True) builder.AppendVariant(name=\"with-ota-requestor\", enable_ota_requestor=True) builder.WhitelistVariantNameForGlob('rpc') for target in builder.AllVariants(): yield target def","conflicts self.buildargs = buildargs self.requires = requires def HasConflicts(items: List[BuildVariant]) -> bool: for","Target('cyw30739-cyw930739m2evb_01-lock', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LOCK) yield Target('cyw30739-cyw930739m2evb_01-ota-requestor', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR).GlobBlacklist( \"Running out of XIP","demand build\") yield target.Extend('light-release-no-ota', app=K32WApp.LIGHT, tokenizer=True, disable_ota=True, release=True) yield target.Extend('shell-release', app=K32WApp.SHELL, release=True) yield","target = Target('bl602', Bl602Builder) yield target.Extend('light', board=Bl602Board.BL602BOARD, app=Bl602App.LIGHT) def IMXTargets(): target = Target('imx',","repository_path: str, output_prefix: str, enable_flashbundle: bool): builder = self.builder_class( repository_path, runner=runner, **self.create_kw_args) builder.target","requested'), efr_target.Extend('brd4187a', board=Efr32Board.BRD4187A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4304a', board=Efr32Board.BRD4304A).GlobBlacklist( 'only user requested') ] builder","HostTargets(): target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) target_native = target.Extend(HostBoard.NATIVE.BoardName(), board=HostBoard.NATIVE) targets = [target_native] #","else: yield target # Without extra build variants yield target_native.Extend('chip-cert', app=HostApp.CERT_TOOL) yield target_native.Extend('address-resolve-tool',","Version 2.0 (the \"License\"); # you may not use this file except in","yield target.Extend('native-posix-64-tests', board=NrfBoard.NATIVE_POSIX_64, app=NrfApp.UNIT_TESTS) targets = [ target.Extend('nrf5340dk', board=NrfBoard.NRF5340DK), target.Extend('nrf52840dk', board=NrfBoard.NRF52840DK), ] #","= variant_target.Extend( option.name, **option.buildargs) # Only a few are whitelisted for globs name","app=TelinkApp.LIGHT)) ALL.append(Target('telink-tlsr9518adk80d-light-switch', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.SWITCH)) # have a consistent order overall ALL.sort(key=lambda t:","supports cross compile cross_compile = (HostBoard.NATIVE.PlatformName() == 'linux') and (HostBoard.NATIVE.BoardName() != HostBoard.ARM64.BoardName()) if","some builds app_targets.append( target_native.Extend('rpc-console', app=HostApp.RPC_CONSOLE)) app_targets.append( target_native.Extend('tv-app', app=HostApp.TV_APP)) app_targets.append( target_native.Extend('tv-casting-app', app=HostApp.TV_CASTING_APP)) app_targets.append( target_native.Extend('nl-test-runner',","does not support libreadline-dev') else: yield target # Without extra build variants yield","IMXApp, IMXBuilder class Target: \"\"\"Represents a build target: Has a name identifier plus","board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.LIGHT)) ALL.append(Target('telink-tlsr9518adk80d-light-switch', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.SWITCH)) # have a consistent order overall ALL.sort(key=lambda","= reason return clone @property def IsGlobBlacklisted(self): return self.glob_blacklist_reason is not None @property","if cross_compile: targets.append(target.Extend('arm64', board=HostBoard.ARM64)) app_targets = [] # Don't cross compile some builds","target.Extend('CY8CPROTO_062_4343W', board=MbedBoard.CY8CPROTO_062_4343W), ] app_targets = [] for target in targets: app_targets.append(target.Extend('lock', app=MbedApp.LOCK)) app_targets.append(target.Extend('light',","MbedTargets(), InfineonTargets(), AmebaTargets(), K32WTargets(), cc13x2x7_26x2x7Targets(), Cyw30739Targets(), QorvoTargets(), TizenTargets(), Bl602Targets(), IMXTargets(), ] for generator","board=Bl602Board.BL602BOARD, app=Bl602App.LIGHT) def IMXTargets(): target = Target('imx', IMXBuilder) yield target.Extend('chip-tool', app=IMXApp.CHIP_TOOL) yield target.Extend('lighting-app',","List[BuildVariant]) -> bool: \"\"\" Check that item.requires is satisfied for all items in","enable_wifi=False) builder.AppendVariant(name=\"asan\", use_asan=True) target = Target('tizen-arm', TizenBuilder, board=TizenBoard.ARM) builder.targets.append(target.Extend('light', app=TizenApp.LIGHT)) for target in","for the given targets. Handles conflict resolution between build variants and globbing whitelist","builds is exponential here. builder = VariantBuilder() builder.AppendVariant(name=\"no-ble\", enable_ble=False) builder.AppendVariant(name=\"no-wifi\", enable_wifi=False) builder.AppendVariant(name=\"asan\", use_asan=True)","in item.requires: if requirement not in available: return False return True class VariantBuilder:","target.Extend('chip-tool-release', app=IMXApp.CHIP_TOOL, release=True) yield target.Extend('lighting-app-release', app=IMXApp.LIGHT, release=True) yield target.Extend('thermostat-release', app=IMXApp.THERMOSTAT, release=True) yield target.Extend('all-clusters-app-release',","builder_class self.glob_blacklist_reason = None self.create_kw_args = kwargs def Clone(self): \"\"\"Creates a clone of","BuildVariant. Example usage: builder.AppendVariant(name=\"ipv6only\", enable_ipv4=False) \"\"\" self.variants.append(BuildVariant(**args)) def AllVariants(self): \"\"\" Yields a list","builder.targets.append( board_target.Extend('light', app=Efr32App.LIGHT)) builder.targets.append(board_target.Extend('lock', app=Efr32App.LOCK)) # Possible build variants. Note that number of","self.variants.append(BuildVariant(**args)) def AllVariants(self): \"\"\" Yields a list of acceptable variants for the given","[], **buildargs): self.name = name self.validator = validator self.conflicts = conflicts self.buildargs =","of the default sysroot yield target.GlobBlacklist('Arm crosscompile does not support libreadline-dev') else: yield","app_targets: yield target.Extend('release', profile=MbedProfile.RELEASE) yield target.Extend('develop', profile=MbedProfile.DEVELOP).GlobBlacklist( 'Compile only for debugging purpose -","target in app_targets: yield target.Extend('release', profile=MbedProfile.RELEASE) yield target.Extend('develop', profile=MbedProfile.DEVELOP).GlobBlacklist( 'Compile only for debugging","items in the given list \"\"\" available = set([item.name for item in items])","app=Esp32App.LOCK) yield devkitc.Extend('bridge', app=Esp32App.BRIDGE) yield devkitc.Extend('temperature-measurement', app=Esp32App.TEMPERATURE_MEASUREMENT) yield devkitc.Extend('temperature-measurement-rpc', app=Esp32App.TEMPERATURE_MEASUREMENT, enable_rpcs=True) yield esp32_target.Extend('qemu-tests',","yield target.Extend('pump-controller', app=NrfApp.PUMP_CONTROLLER) rpc = target.Extend('light-rpc', app=NrfApp.LIGHT, enable_rpcs=True) if '-nrf5340dk-' in rpc.name: rpc","from builders.qpg import QpgApp, QpgBoard, QpgBuilder from builders.telink import TelinkApp, TelinkBoard, TelinkBuilder from","yield target.Extend('shell-release', app=K32WApp.SHELL, release=True) yield target.Extend('lock-release', app=K32WApp.LOCK, release=True) yield target.Extend('lock-low-power-release', app=K32WApp.LOCK, low_power=True, release=True).GlobBlacklist(\"Only","requirement in item.requires: if requirement not in available: return False return True class","import HostApp, HostBoard, HostBuilder from builders.infineon import InfineonApp, InfineonBoard, InfineonBuilder from builders.k32w import","b in combinations(items, 2): if (a.name in b.conflicts) or (b.name in a.conflicts): return","] # Enable nrf52840dongle for all-clusters and lighting app only yield target.Extend('nrf52840dongle-all-clusters', board=NrfBoard.NRF52840DONGLE,","openthread_ftd=True) yield target.Extend('lock-mtd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=False) yield target.Extend('pump', app=cc13x2x7_26x2x7App.PUMP) yield target.Extend('pump-controller', app=cc13x2x7_26x2x7App.PUMP_CONTROLLER) yield target.Extend('all-clusters',","'-nrf5340dk-' in rpc.name: rpc = rpc.GlobBlacklist( 'Compile failure due to pw_build args not","Target('imx', IMXBuilder) yield target.Extend('chip-tool', app=IMXApp.CHIP_TOOL) yield target.Extend('lighting-app', app=IMXApp.LIGHT) yield target.Extend('thermostat', app=IMXApp.THERMOSTAT) yield target.Extend('all-clusters-app',","board=NrfBoard.NATIVE_POSIX_64, app=NrfApp.UNIT_TESTS) targets = [ target.Extend('nrf5340dk', board=NrfBoard.NRF5340DK), target.Extend('nrf52840dk', board=NrfBoard.NRF52840DK), ] # Enable nrf52840dongle","the given list \"\"\" available = set([item.name for item in items]) for item","os.path.join(output_prefix, self.name) builder.enable_flashbundle(enable_flashbundle) return builder def GlobBlacklist(self, reason): clone = self.Clone() if clone.glob_blacklist_reason:","\"\"\" Yields a list of acceptable variants for the given targets. Handles conflict","arm cross compiles # because libreadline is not part of the default sysroot","IMXBuilder class Target: \"\"\"Represents a build target: Has a name identifier plus parameters","requested'), efr_target.Extend('brd4164a', board=Efr32Board.BRD4164A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4166a', board=Efr32Board.BRD4166A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4170a', board=Efr32Board.BRD4170A).GlobBlacklist(","a clone of self.\"\"\" clone = Target(self.name, self.builder_class, **self.create_kw_args.copy()) clone.glob_blacklist_reason = self.glob_blacklist_reason return","enable_ipv4=False) yield devkitc.Extend('shell', app=Esp32App.SHELL) yield devkitc.Extend('light', app=Esp32App.LIGHT) yield devkitc.Extend('lock', app=Esp32App.LOCK) yield devkitc.Extend('bridge', app=Esp32App.BRIDGE)","['-chip-tool', '-chip-tool-darwin']), separate_event_loop=False), builder.AppendVariant(name=\"no-interactive\", validator=AcceptNameWithSubstrings( ['-chip-tool']), interactive_mode=False), builder.AppendVariant(name=\"ipv6only\", enable_ipv4=False), builder.AppendVariant(name=\"no-ble\", enable_ble=False), builder.AppendVariant(name=\"no-wifi\", enable_wifi=False),","requested'), efr_target.Extend('brd4170a', board=Efr32Board.BRD4170A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4186a', board=Efr32Board.BRD4186A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4187a', board=Efr32Board.BRD4187A).GlobBlacklist(","GlobBlacklist(self, reason): clone = self.Clone() if clone.glob_blacklist_reason: clone.glob_blacklist_reason += \", \" clone.glob_blacklist_reason +=","efr_target.Extend('brd4166a', board=Efr32Board.BRD4166A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4170a', board=Efr32Board.BRD4170A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4186a', board=Efr32Board.BRD4186A).GlobBlacklist( 'only","builder.AppendVariant(name=\"clang\", use_clang=True), builder.AppendVariant(name=\"test\", extra_tests=True), builder.WhitelistVariantNameForGlob('no-interactive-ipv6only') builder.WhitelistVariantNameForGlob('ipv6only') for target in app_targets: if ('-rpc-console' in","bool: \"\"\" Check that item.requires is satisfied for all items in the given","build variants\") yield target_native.Extend('address-resolve-tool-platform-mdns-ipv6only', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True, enable_ipv4=False).GlobBlacklist(\"Reduce default build variants\") test_target = Target(HostBoard.NATIVE.PlatformName(),","class to use and what arguments are required to produce the specified build)","enable_rpcs=True) yield esp32_target.Extend('qemu-tests', board=Esp32Board.QEMU, app=Esp32App.TESTS) def Efr32Targets(): efr_target = Target('efr32', Efr32Builder) board_targets =","board=Efr32Board.BRD4161A), efr_target.Extend('brd4163a', board=Efr32Board.BRD4163A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4164a', board=Efr32Board.BRD4164A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4166a', board=Efr32Board.BRD4166A).GlobBlacklist(","requested'), efr_target.Extend('brd4166a', board=Efr32Board.BRD4166A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4170a', board=Efr32Board.BRD4170A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4186a', board=Efr32Board.BRD4186A).GlobBlacklist(","app_targets: if ('-rpc-console' in target.name) or ('-python-bindings' in target.name) or ('nl-test-runner' in target.name):","forwarded to proto compiler. ' 'https://pigweed-review.googlesource.com/c/pigweed/pigweed/+/66760') yield rpc def AndroidTargets(): target = Target('android',","to pw_build args not forwarded to proto compiler. ' 'https://pigweed-review.googlesource.com/c/pigweed/pigweed/+/66760') yield rpc def","target_native.Extend('rpc-console', app=HostApp.RPC_CONSOLE)) app_targets.append( target_native.Extend('tv-app', app=HostApp.TV_APP)) app_targets.append( target_native.Extend('tv-casting-app', app=HostApp.TV_CASTING_APP)) app_targets.append( target_native.Extend('nl-test-runner', app=HostApp.NL_TEST_RUNNER)) for target","app_targets.append(target.Extend('lock', app=MbedApp.LOCK)) app_targets.append(target.Extend('light', app=MbedApp.LIGHT)) app_targets.append(target.Extend( 'all-clusters', app=MbedApp.ALL_CLUSTERS)) app_targets.append(target.Extend('pigweed', app=MbedApp.PIGWEED)) app_targets.append(target.Extend('shell', app=MbedApp.SHELL)) for target","in generator: ALL.append(target) # Simple targets added one by one ALL.append(Target('telink-tlsr9518adk80d-light', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D,","\"\"\" Add another variant to accepted variants. Arguments are construction variants to BuildVariant.","target.Extend('lock-low-power-release', app=K32WApp.LOCK, low_power=True, release=True).GlobBlacklist(\"Only on demand build\") def cc13x2x7_26x2x7Targets(): target = Target('cc13x2x7_26x2x7', cc13x2x7_26x2x7Builder)","app=HostApp.TV_APP)) app_targets.append( target_native.Extend('tv-casting-app', app=HostApp.TV_CASTING_APP)) app_targets.append( target_native.Extend('nl-test-runner', app=HostApp.NL_TEST_RUNNER)) for target in targets: app_targets.append(target.Extend( 'all-clusters',","yield devkitc.Extend('temperature-measurement', app=Esp32App.TEMPERATURE_MEASUREMENT) yield devkitc.Extend('temperature-measurement-rpc', app=Esp32App.TEMPERATURE_MEASUREMENT, enable_rpcs=True) yield esp32_target.Extend('qemu-tests', board=Esp32Board.QEMU, app=Esp32App.TESTS) def Efr32Targets():","return builder def GlobBlacklist(self, reason): clone = self.Clone() if clone.glob_blacklist_reason: clone.glob_blacklist_reason += \",","app=Efr32App.SWITCH)) builder.targets.append(board_target.Extend( 'unit-test', app=Efr32App.UNIT_TEST)) builder.targets.append( board_target.Extend('light', app=Efr32App.LIGHT)) builder.targets.append(board_target.Extend('lock', app=Efr32App.LOCK)) # Possible build variants.","InfineonBuilder) yield target.Extend('p6-lock', board=InfineonBoard.P6BOARD, app=InfineonApp.LOCK) yield target.Extend('p6-all-clusters', board=InfineonBoard.P6BOARD, app=InfineonApp.ALL_CLUSTERS) yield target.Extend('p6-light', board=InfineonBoard.P6BOARD, app=InfineonApp.LIGHT)","= VariantBuilder() builder.AppendVariant(name=\"no-ble\", enable_ble=False) builder.AppendVariant(name=\"no-wifi\", enable_wifi=False) builder.AppendVariant(name=\"asan\", use_asan=True) target = Target('tizen-arm', TizenBuilder, board=TizenBoard.ARM)","import Efr32App, Efr32Board, Efr32Builder from builders.esp32 import Esp32App, Esp32Board, Esp32Builder from builders.host import","target.Extend('native-posix-64-tests', board=NrfBoard.NATIVE_POSIX_64, app=NrfApp.UNIT_TESTS) targets = [ target.Extend('nrf5340dk', board=NrfBoard.NRF5340DK), target.Extend('nrf52840dk', board=NrfBoard.NRF52840DK), ] # Enable","profile=MbedProfile.DEBUG).GlobBlacklist( 'Compile only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') def InfineonTargets(): target =","By default we do not want a 'build all' to select all variants,","OF ANY KIND, either express or implied. # See the License for the","app=IMXApp.THERMOSTAT, release=True) yield target.Extend('all-clusters-app-release', app=IMXApp.ALL_CLUSTERS, release=True) yield target.Extend('ota-provider-app-release', app=IMXApp.OTA_PROVIDER, release=True) ALL = []","cross compile some builds app_targets.append( target_native.Extend('rpc-console', app=HostApp.RPC_CONSOLE)) app_targets.append( target_native.Extend('tv-app', app=HostApp.TV_APP)) app_targets.append( target_native.Extend('tv-casting-app', app=HostApp.TV_CASTING_APP))","target.Extend('lighting-app', app=IMXApp.LIGHT) yield target.Extend('thermostat', app=IMXApp.THERMOSTAT) yield target.Extend('all-clusters-app', app=IMXApp.ALL_CLUSTERS) yield target.Extend('ota-provider-app', app=IMXApp.OTA_PROVIDER) yield target.Extend('chip-tool-release',","variants. Note that number of potential # builds is exponential here builder.AppendVariant(name=\"same-event-loop\", validator=AcceptNameWithSubstrings(","**buildargs): self.name = name self.validator = validator self.conflicts = conflicts self.buildargs = buildargs","for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') def InfineonTargets(): target = Target('infineon', InfineonBuilder) yield","builder.AllVariants(): yield target def Bl602Targets(): target = Target('bl602', Bl602Builder) yield target.Extend('light', board=Bl602Board.BL602BOARD, app=Bl602App.LIGHT)","Target ready to be created - no conflicts variant_target = target.Clone() for option","yield target.Extend('androidstudio-x64-chip-tool', board=AndroidBoard.AndroidStudio_X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tvserver', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm-chip-tvserver', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TVServer) yield","= target.Extend(HostBoard.NATIVE.BoardName(), board=HostBoard.NATIVE) targets = [target_native] # x64 linux supports cross compile cross_compile","def InfineonTargets(): target = Target('infineon', InfineonBuilder) yield target.Extend('p6-lock', board=InfineonBoard.P6BOARD, app=InfineonApp.LOCK) yield target.Extend('p6-all-clusters', board=InfineonBoard.P6BOARD,","board=MbedBoard.CY8CPROTO_062_4343W), ] app_targets = [] for target in targets: app_targets.append(target.Extend('lock', app=MbedApp.LOCK)) app_targets.append(target.Extend('light', app=MbedApp.LIGHT))","builder.identifier = self.name builder.output_dir = os.path.join(output_prefix, self.name) builder.enable_flashbundle(enable_flashbundle) return builder def GlobBlacklist(self, reason):","continue # Target ready to be created - no conflicts variant_target = target.Clone()","the clone in case the default arg is used self.targets = targets[:] self.variants","suffix, **kargs): \"\"\"Creates a clone of the current object extending its build parameters.","NrfTargets(), AndroidTargets(), MbedTargets(), InfineonTargets(), AmebaTargets(), K32WTargets(), cc13x2x7_26x2x7Targets(), Cyw30739Targets(), QorvoTargets(), TizenTargets(), Bl602Targets(), IMXTargets(), ]","def Accept(self, name: str): for s in self.substr: if s in name: return","one by one ALL.append(Target('telink-tlsr9518adk80d-light', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.LIGHT)) ALL.append(Target('telink-tlsr9518adk80d-light-switch', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.SWITCH)) # have","how to build it (what builder class to use and what arguments are","def __init__(self, name: str, validator=AcceptAnyName(), conflicts: List[str] = [], requires: List[str] = [],","requires def HasConflicts(items: List[BuildVariant]) -> bool: for a, b in combinations(items, 2): if","builder.WhitelistVariantNameForGlob('ipv6only') for target in app_targets: if ('-rpc-console' in target.name) or ('-python-bindings' in target.name)","ameba_target.Extend('amebad-pigweed', board=AmebaBoard.AMEBAD, app=AmebaApp.PIGWEED) def K32WTargets(): target = Target('k32w', K32WBuilder) yield target.Extend('light-ota-se', app=K32WApp.LIGHT, release=True,","buildargs self.requires = requires def HasConflicts(items: List[BuildVariant]) -> bool: for a, b in","enable_ble=False), builder.AppendVariant(name=\"no-wifi\", enable_wifi=False), builder.AppendVariant(name=\"tsan\", conflicts=['asan'], use_tsan=True), builder.AppendVariant(name=\"asan\", conflicts=['tsan'], use_asan=True), builder.AppendVariant(name=\"libfuzzer\", requires=[ \"clang\"], use_libfuzzer=True),","all' to select all variants, so variants are generally glob-blacklisted. \"\"\" self.glob_whitelist.append(name) def","build target: Has a name identifier plus parameters on how to build it","efr_target.Extend('brd4164a', board=Efr32Board.BRD4164A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4166a', board=Efr32Board.BRD4166A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4170a', board=Efr32Board.BRD4170A).GlobBlacklist( 'only","builders.cc13x2x7_26x2x7 import cc13x2x7_26x2x7App, cc13x2x7_26x2x7Builder from builders.cyw30739 import Cyw30739App, Cyw30739Board, Cyw30739Builder from builders.efr32 import","Cyw30739Board, Cyw30739Builder from builders.efr32 import Efr32App, Efr32Board, Efr32Builder from builders.esp32 import Esp32App, Esp32Board,","suffix: appended with a \"-\" as separator to the clone name **kargs: arguments","another variant to accepted variants. Arguments are construction variants to BuildVariant. Example usage:","target = Target('android', AndroidBuilder) yield target.Extend('arm-chip-tool', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tool', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TOOL) yield","build) \"\"\" def __init__(self, name, builder_class, **kwargs): self.name = name self.builder_class = builder_class","yield target.Extend('arm64-chip-tool', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x64-chip-tool', board=AndroidBoard.X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x86-chip-tool', board=AndroidBoard.X86, app=AndroidApp.CHIP_TOOL) yield","in app_targets: if ('-rpc-console' in target.name) or ('-python-bindings' in target.name) or ('nl-test-runner' in","board=AndroidBoard.AndroidStudio_ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x86-chip-tool', board=AndroidBoard.AndroidStudio_X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x64-chip-tool', board=AndroidBoard.AndroidStudio_X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tvserver', board=AndroidBoard.ARM64,","board=AndroidBoard.ARM, app=AndroidApp.CHIP_TVServer) yield target.Extend('x86-chip-tvserver', board=AndroidBoard.X86, app=AndroidApp.CHIP_TVServer) yield target.Extend('x64-chip-tvserver', board=AndroidBoard.X64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm64-chip-tv-casting-app', board=AndroidBoard.ARM64,","return clone def Extend(self, suffix, **kargs): \"\"\"Creates a clone of the current object","on demand build\") def cc13x2x7_26x2x7Targets(): target = Target('cc13x2x7_26x2x7', cc13x2x7_26x2x7Builder) yield target.Extend('lock-ftd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=True)","or agreed to in writing, software # distributed under the License is distributed","builder.AppendVariant(name=\"no-ble\", enable_ble=False) builder.AppendVariant(name=\"no-wifi\", enable_wifi=False) builder.AppendVariant(name=\"asan\", use_asan=True) target = Target('tizen-arm', TizenBuilder, board=TizenBoard.ARM) builder.targets.append(target.Extend('light', app=TizenApp.LIGHT))","= [], requires: List[str] = [], **buildargs): self.name = name self.validator = validator","that number of potential # builds is exponential here builder.AppendVariant(name=\"same-event-loop\", validator=AcceptNameWithSubstrings( ['-chip-tool', '-chip-tool-darwin']),","board=board, app=HostApp.TESTS) def Esp32Targets(): esp32_target = Target('esp32', Esp32Builder) yield esp32_target.Extend('m5stack-all-clusters', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS) yield","target.name) or ('nl-test-runner' in target.name): # Single-variant builds yield target else: builder.targets.append(target) for","# note the clone in case the default arg is used self.targets =","app_targets = [] # Don't cross compile some builds app_targets.append( target_native.Extend('rpc-console', app=HostApp.RPC_CONSOLE)) app_targets.append(","substr: List[str]): self.substr = substr def Accept(self, name: str): for s in self.substr:","by one ALL.append(Target('telink-tlsr9518adk80d-light', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.LIGHT)) ALL.append(Target('telink-tlsr9518adk80d-light-switch', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.SWITCH)) # have a","board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield esp32_target.Extend('m5stack-all-clusters-rpc', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True) yield esp32_target.Extend('m5stack-all-clusters-rpc-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True,","requires: List[str] = [], **buildargs): self.name = name self.validator = validator self.conflicts =","Possible build variants. # NOTE: The number of potential builds is exponential here.","under the Apache License, Version 2.0 (the \"License\"); # you may not use","Accept(self, name: str): return True class AcceptNameWithSubstrings: def __init__(self, substr: List[str]): self.substr =","= self builder.identifier = self.name builder.output_dir = os.path.join(output_prefix, self.name) builder.enable_flashbundle(enable_flashbundle) return builder def","permissions and # limitations under the License. import os from itertools import combinations","License. # You may obtain a copy of the License at # #","TizenBoard, TizenBuilder from builders.bl602 import Bl602App, Bl602Board, Bl602Builder from builders.imx import IMXApp, IMXBuilder","between build variants and globbing whitelist targets. \"\"\" for target in self.targets: yield","default build variants') yield variant_target def HostTargets(): target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) target_native =","'window-covering', app=Efr32App.WINDOW_COVERING)) builder.targets.append(board_target.Extend( 'switch', app=Efr32App.SWITCH)) builder.targets.append(board_target.Extend( 'unit-test', app=Efr32App.UNIT_TEST)) builder.targets.append( board_target.Extend('light', app=Efr32App.LIGHT)) builder.targets.append(board_target.Extend('lock', app=Efr32App.LOCK))","only yield target.Extend('nrf52840dongle-all-clusters', board=NrfBoard.NRF52840DONGLE, app=NrfApp.ALL_CLUSTERS) yield target.Extend('nrf52840dongle-light', board=NrfBoard.NRF52840DONGLE, app=NrfApp.LIGHT) for target in targets:","governing permissions and # limitations under the License. import os from itertools import","'only user requested'), efr_target.Extend('brd4164a', board=Efr32Board.BRD4164A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4166a', board=Efr32Board.BRD4166A).GlobBlacklist( 'only user requested'),","requires=[ \"clang\"], use_libfuzzer=True), builder.AppendVariant(name=\"clang\", use_clang=True), builder.AppendVariant(name=\"test\", extra_tests=True), builder.WhitelistVariantNameForGlob('no-interactive-ipv6only') builder.WhitelistVariantNameForGlob('ipv6only') for target in app_targets:","in the given list \"\"\" available = set([item.name for item in items]) for","linux supports cross compile cross_compile = (HostBoard.NATIVE.PlatformName() == 'linux') and (HostBoard.NATIVE.BoardName() != HostBoard.ARM64.BoardName())","IMXTargets(), ] for generator in target_generators: for target in generator: ALL.append(target) # Simple","failure due to pw_build args not forwarded to proto compiler. ' 'https://pigweed-review.googlesource.com/c/pigweed/pigweed/+/66760') yield","AcceptAnyName: def Accept(self, name: str): return True class AcceptNameWithSubstrings: def __init__(self, substr: List[str]):","of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable","be allowed for globbing. By default we do not want a 'build all'","= os.path.join(output_prefix, self.name) builder.enable_flashbundle(enable_flashbundle) return builder def GlobBlacklist(self, reason): clone = self.Clone() if","efr_target.Extend('brd4187a', board=Efr32Board.BRD4187A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4304a', board=Efr32Board.BRD4304A).GlobBlacklist( 'only user requested') ] builder =","target.Extend('thermostat-release', app=IMXApp.THERMOSTAT, release=True) yield target.Extend('all-clusters-app-release', app=IMXApp.ALL_CLUSTERS, release=True) yield target.Extend('ota-provider-app-release', app=IMXApp.OTA_PROVIDER, release=True) ALL =","name not in self.glob_whitelist: if not variant_target.IsGlobBlacklisted: variant_target = variant_target.GlobBlacklist( 'Reduce default build","default build variants\") yield target_native.Extend('address-resolve-tool-platform-mdns', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True).GlobBlacklist(\"Reduce default build variants\") yield target_native.Extend('address-resolve-tool-platform-mdns-ipv6only', app=HostApp.ADDRESS_RESOLVE,","rpc = rpc.GlobBlacklist( 'Compile failure due to pw_build args not forwarded to proto","separator to the clone name **kargs: arguments needed to produce the new build","target ok_variants = [ v for v in self.variants if v.validator.Accept(target.name)] # Build","target_native.Extend('address-resolve-tool-platform-mdns', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True).GlobBlacklist(\"Reduce default build variants\") yield target_native.Extend('address-resolve-tool-platform-mdns-ipv6only', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True, enable_ipv4=False).GlobBlacklist(\"Reduce default build","app=Efr32App.LOCK)) # Possible build variants. Note that number of potential # builds is","target = Target('infineon', InfineonBuilder) yield target.Extend('p6-lock', board=InfineonBoard.P6BOARD, app=InfineonApp.LOCK) yield target.Extend('p6-all-clusters', board=InfineonBoard.P6BOARD, app=InfineonApp.ALL_CLUSTERS) yield","app=HostApp.MIN_MDNS)) app_targets.append(target.Extend('light', app=HostApp.LIGHT)) app_targets.append(target.Extend('lock', app=HostApp.LOCK)) app_targets.append(target.Extend('shell', app=HostApp.SHELL)) app_targets.append(target.Extend( 'ota-provider', app=HostApp.OTA_PROVIDER, enable_ble=False)) app_targets.append(target.Extend( 'ota-requestor',","str, enable_flashbundle: bool): builder = self.builder_class( repository_path, runner=runner, **self.create_kw_args) builder.target = self builder.identifier","License, Version 2.0 (the \"License\"); # you may not use this file except","target.name): # Single-variant builds yield target else: builder.targets.append(target) for target in builder.AllVariants(): if","libreadline-dev') else: yield target # Without extra build variants yield target_native.Extend('chip-cert', app=HostApp.CERT_TOOL) yield","TelinkApp, TelinkBoard, TelinkBuilder from builders.tizen import TizenApp, TizenBoard, TizenBuilder from builders.bl602 import Bl602App,","item.requires is satisfied for all items in the given list \"\"\" available =","generally glob-blacklisted. \"\"\" self.glob_whitelist.append(name) def AppendVariant(self, **args): \"\"\" Add another variant to accepted","'-chip-tool-darwin']), separate_event_loop=False), builder.AppendVariant(name=\"no-interactive\", validator=AcceptNameWithSubstrings( ['-chip-tool']), interactive_mode=False), builder.AppendVariant(name=\"ipv6only\", enable_ipv4=False), builder.AppendVariant(name=\"no-ble\", enable_ble=False), builder.AppendVariant(name=\"no-wifi\", enable_wifi=False), builder.AppendVariant(name=\"tsan\",","'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') def InfineonTargets(): target = Target('infineon', InfineonBuilder) yield target.Extend('p6-lock', board=InfineonBoard.P6BOARD, app=InfineonApp.LOCK) yield target.Extend('p6-all-clusters',","Has a name identifier plus parameters on how to build it (what builder","app=HostApp.TV_CASTING_APP)) app_targets.append( target_native.Extend('nl-test-runner', app=HostApp.NL_TEST_RUNNER)) for target in targets: app_targets.append(target.Extend( 'all-clusters', app=HostApp.ALL_CLUSTERS)) if (HostBoard.NATIVE.PlatformName()","yield target.Extend('lock', board=QpgBoard.QPG6105, app=QpgApp.LOCK) yield target.Extend('light', board=QpgBoard.QPG6105, app=QpgApp.LIGHT) yield target.Extend('shell', board=QpgBoard.QPG6105, app=QpgApp.SHELL) yield","Project CHIP Authors # # Licensed under the Apache License, Version 2.0 (the","= Target(self.name, self.builder_class, **self.create_kw_args.copy()) clone.glob_blacklist_reason = self.glob_blacklist_reason return clone def Extend(self, suffix, **kargs):","InfineonTargets(), AmebaTargets(), K32WTargets(), cc13x2x7_26x2x7Targets(), Cyw30739Targets(), QorvoTargets(), TizenTargets(), Bl602Targets(), IMXTargets(), ] for generator in","'ota-provider', app=HostApp.OTA_PROVIDER, enable_ble=False)) app_targets.append(target.Extend( 'ota-requestor', app=HostApp.OTA_REQUESTOR, enable_ble=False)) app_targets.append(target.Extend('python-bindings', app=HostApp.PYTHON_BINDINGS)) builder = VariantBuilder() #","app=AndroidApp.CHIP_TOOL) yield target.Extend('x64-chip-tool', board=AndroidBoard.X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x86-chip-tool', board=AndroidBoard.X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-test', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TEST)","app=HostApp.CERT_TOOL) yield target_native.Extend('address-resolve-tool', app=HostApp.ADDRESS_RESOLVE) yield target_native.Extend('address-resolve-tool-clang', app=HostApp.ADDRESS_RESOLVE, use_clang=True).GlobBlacklist(\"Reduce default build variants\") yield target_native.Extend('address-resolve-tool-platform-mdns',","for target in builder.AllVariants(): if cross_compile and 'chip-tool' in target.name and 'arm64' in","name **kargs: arguments needed to produce the new build variant \"\"\" clone =","limitations under the License. import os from itertools import combinations from typing import","app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tool', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x64-chip-tool', board=AndroidBoard.X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x86-chip-tool', board=AndroidBoard.X86, app=AndroidApp.CHIP_TOOL)","user requested'), efr_target.Extend('brd4304a', board=Efr32Board.BRD4304A).GlobBlacklist( 'only user requested') ] builder = VariantBuilder() for board_target","the default sysroot yield target.GlobBlacklist('Arm crosscompile does not support libreadline-dev') else: yield target","copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by","app=AndroidApp.CHIP_TEST) yield target.Extend('androidstudio-arm-chip-tool', board=AndroidBoard.AndroidStudio_ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-arm64-chip-tool', board=AndroidBoard.AndroidStudio_ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x86-chip-tool', board=AndroidBoard.AndroidStudio_X86, app=AndroidApp.CHIP_TOOL)","proto compiler. ' 'https://pigweed-review.googlesource.com/c/pigweed/pigweed/+/66760') yield rpc def AndroidTargets(): target = Target('android', AndroidBuilder) yield","variants\") yield target_native.Extend('address-resolve-tool-platform-mdns-ipv6only', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True, enable_ipv4=False).GlobBlacklist(\"Reduce default build variants\") test_target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder)","HostBuilder from builders.infineon import InfineonApp, InfineonBoard, InfineonBuilder from builders.k32w import K32WApp, K32WBuilder from","app=HostApp.OTA_REQUESTOR, enable_ble=False)) app_targets.append(target.Extend('python-bindings', app=HostApp.PYTHON_BINDINGS)) builder = VariantBuilder() # Possible build variants. Note that","requirement not in available: return False return True class VariantBuilder: \"\"\"Handles creating multiple","from builders.imx import IMXApp, IMXBuilder class Target: \"\"\"Represents a build target: Has a","Add another variant to accepted variants. Arguments are construction variants to BuildVariant. Example","yield target.Extend('lock-ftd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=True) yield target.Extend('lock-mtd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=False) yield target.Extend('pump', app=cc13x2x7_26x2x7App.PUMP) yield target.Extend('pump-controller',","yield target.Extend('light', board=Bl602Board.BL602BOARD, app=Bl602App.LIGHT) def IMXTargets(): target = Target('imx', IMXBuilder) yield target.Extend('chip-tool', app=IMXApp.CHIP_TOOL)","required to produce the specified build) \"\"\" def __init__(self, name, builder_class, **kwargs): self.name","Target('android', AndroidBuilder) yield target.Extend('arm-chip-tool', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tool', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x64-chip-tool', board=AndroidBoard.X64,","app=K32WApp.LIGHT, tokenizer=True, disable_ota=True, release=True) yield target.Extend('shell-release', app=K32WApp.SHELL, release=True) yield target.Extend('lock-release', app=K32WApp.LOCK, release=True) yield","variants based on a starting target. \"\"\" def __init__(self, targets: List[Target] = []):","[] target_generators = [ HostTargets(), Esp32Targets(), Efr32Targets(), NrfTargets(), AndroidTargets(), MbedTargets(), InfineonTargets(), AmebaTargets(), K32WTargets(),","'only user requested'), efr_target.Extend('brd4186a', board=Efr32Board.BRD4186A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4187a', board=Efr32Board.BRD4187A).GlobBlacklist( 'only user requested'),","target = Target('tizen-arm', TizenBuilder, board=TizenBoard.ARM) builder.targets.append(target.Extend('light', app=TizenApp.LIGHT)) for target in builder.AllVariants(): yield target","app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True, enable_ipv4=False).GlobBlacklist(\"Reduce default build variants\") test_target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) for board in","in target.name and 'arm64' in target.name and '-no-interactive' not in target.name: # Interactive","Target('cyw30739-cyw930739m2evb_01-ota-requestor-no-progress-logging', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR, progress_logging=False) def QorvoTargets(): target = Target('qpg', QpgBuilder) yield target.Extend('lock',","for v in self.variants if v.validator.Accept(target.name)] # Build every possible variant for variant_count","subgroup: variant_target = variant_target.Extend( option.name, **option.buildargs) # Only a few are whitelisted for","TizenBuilder, board=TizenBoard.ARM) builder.targets.append(target.Extend('light', app=TizenApp.LIGHT)) for target in builder.AllVariants(): yield target def Bl602Targets(): target","\"\"\" for target in self.targets: yield target # skip variants that do not","AndroidBuilder from builders.cc13x2x7_26x2x7 import cc13x2x7_26x2x7App, cc13x2x7_26x2x7Builder from builders.cyw30739 import Cyw30739App, Cyw30739Board, Cyw30739Builder from","targets added one by one ALL.append(Target('telink-tlsr9518adk80d-light', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.LIGHT)) ALL.append(Target('telink-tlsr9518adk80d-light-switch', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.SWITCH))","target.Extend('arm64-chip-test', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TEST) yield target.Extend('androidstudio-arm-chip-tool', board=AndroidBoard.AndroidStudio_ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-arm64-chip-tool', board=AndroidBoard.AndroidStudio_ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x86-chip-tool',","in target.name) or ('nl-test-runner' in target.name): # Single-variant builds yield target else: builder.targets.append(target)","parameters. Arguments: suffix: appended with a \"-\" as separator to the clone name","def AllVariants(self): \"\"\" Yields a list of acceptable variants for the given targets.","= Target(HostBoard.NATIVE.PlatformName(), HostBuilder) target_native = target.Extend(HostBoard.NATIVE.BoardName(), board=HostBoard.NATIVE) targets = [target_native] # x64 linux","or implied. # See the License for the specific language governing permissions and","app=IMXApp.LIGHT, release=True) yield target.Extend('thermostat-release', app=IMXApp.THERMOSTAT, release=True) yield target.Extend('all-clusters-app-release', app=IMXApp.ALL_CLUSTERS, release=True) yield target.Extend('ota-provider-app-release', app=IMXApp.OTA_PROVIDER,","builder.AppendVariant(name=\"no-wifi\", enable_wifi=False) builder.AppendVariant(name=\"asan\", use_asan=True) target = Target('tizen-arm', TizenBuilder, board=TizenBoard.ARM) builder.targets.append(target.Extend('light', app=TizenApp.LIGHT)) for target","as separator to the clone name **kargs: arguments needed to produce the new","-> bool: \"\"\" Check that item.requires is satisfied for all items in the","def TizenTargets(): # Possible build variants. # NOTE: The number of potential builds","for subgroup in combinations(ok_variants, variant_count): if HasConflicts(subgroup): continue if not AllRequirementsMet(subgroup): continue #","builder.targets.append(board_target.Extend('lock', app=Efr32App.LOCK)) # Possible build variants. Note that number of potential # builds","from builders.ameba import AmebaApp, AmebaBoard, AmebaBuilder from builders.android import AndroidApp, AndroidBoard, AndroidBuilder from","MbedProfile from builders.nrf import NrfApp, NrfBoard, NrfConnectBuilder from builders.qpg import QpgApp, QpgBoard, QpgBuilder","for s in self.substr: if s in name: return True return False class","builders.imx import IMXApp, IMXBuilder class Target: \"\"\"Represents a build target: Has a name","InfineonBoard, InfineonBuilder from builders.k32w import K32WApp, K32WBuilder from builders.mbed import MbedApp, MbedBoard, MbedBuilder,","QpgBuilder) yield target.Extend('lock', board=QpgBoard.QPG6105, app=QpgApp.LOCK) yield target.Extend('light', board=QpgBoard.QPG6105, app=QpgApp.LIGHT) yield target.Extend('shell', board=QpgBoard.QPG6105, app=QpgApp.SHELL)","= name self.builder_class = builder_class self.glob_blacklist_reason = None self.create_kw_args = kwargs def Clone(self):","esp32_target.Extend('devkitc', board=Esp32Board.DevKitC) yield devkitc.Extend('all-clusters', app=Esp32App.ALL_CLUSTERS) yield devkitc.Extend('all-clusters-ipv6only', app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield devkitc.Extend('shell', app=Esp32App.SHELL) yield","yield target.Extend('light-release-no-ota', app=K32WApp.LIGHT, tokenizer=True, disable_ota=True, release=True) yield target.Extend('shell-release', app=K32WApp.SHELL, release=True) yield target.Extend('lock-release', app=K32WApp.LOCK,","targets. Handles conflict resolution between build variants and globbing whitelist targets. \"\"\" for","item.requires: if requirement not in available: return False return True class VariantBuilder: \"\"\"Handles","VariantBuilder: \"\"\"Handles creating multiple build variants based on a starting target. \"\"\" def","app=QpgApp.PERSISTENT_STORAGE) def TizenTargets(): # Possible build variants. # NOTE: The number of potential","target_native.Extend('address-resolve-tool-platform-mdns-ipv6only', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True, enable_ipv4=False).GlobBlacklist(\"Reduce default build variants\") test_target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) for board","str, validator=AcceptAnyName(), conflicts: List[str] = [], requires: List[str] = [], **buildargs): self.name =","def IMXTargets(): target = Target('imx', IMXBuilder) yield target.Extend('chip-tool', app=IMXApp.CHIP_TOOL) yield target.Extend('lighting-app', app=IMXApp.LIGHT) yield","openthread_ftd=False) yield target.Extend('pump', app=cc13x2x7_26x2x7App.PUMP) yield target.Extend('pump-controller', app=cc13x2x7_26x2x7App.PUMP_CONTROLLER) yield target.Extend('all-clusters', app=cc13x2x7_26x2x7App.ALL_CLUSTERS) yield target.Extend('shell', app=cc13x2x7_26x2x7App.SHELL)","app=NrfApp.LIGHT) yield target.Extend('shell', app=NrfApp.SHELL) yield target.Extend('pump', app=NrfApp.PUMP) yield target.Extend('pump-controller', app=NrfApp.PUMP_CONTROLLER) rpc = target.Extend('light-rpc',","board_targets: builder.targets.append(board_target.Extend( 'window-covering', app=Efr32App.WINDOW_COVERING)) builder.targets.append(board_target.Extend( 'switch', app=Efr32App.SWITCH)) builder.targets.append(board_target.Extend( 'unit-test', app=Efr32App.UNIT_TEST)) builder.targets.append( board_target.Extend('light', app=Efr32App.LIGHT))","app=IMXApp.CHIP_TOOL) yield target.Extend('lighting-app', app=IMXApp.LIGHT) yield target.Extend('thermostat', app=IMXApp.THERMOSTAT) yield target.Extend('all-clusters-app', app=IMXApp.ALL_CLUSTERS) yield target.Extend('ota-provider-app', app=IMXApp.OTA_PROVIDER)","variant_target.Extend( option.name, **option.buildargs) # Only a few are whitelisted for globs name =","builder.target = self builder.identifier = self.name builder.output_dir = os.path.join(output_prefix, self.name) builder.enable_flashbundle(enable_flashbundle) return builder","app=Esp32App.ALL_CLUSTERS, enable_rpcs=True, enable_ipv4=False) yield esp32_target.Extend('c3devkit-all-clusters', board=Esp32Board.C3DevKit, app=Esp32App.ALL_CLUSTERS) devkitc = esp32_target.Extend('devkitc', board=Esp32Board.DevKitC) yield devkitc.Extend('all-clusters',","to produce the new build variant \"\"\" clone = self.Clone() clone.name += \"-\"","targets = [target_native] # x64 linux supports cross compile cross_compile = (HostBoard.NATIVE.PlatformName() ==","use this file except in compliance with the License. # You may obtain","clone name **kargs: arguments needed to produce the new build variant \"\"\" clone","IMXTargets(): target = Target('imx', IMXBuilder) yield target.Extend('chip-tool', app=IMXApp.CHIP_TOOL) yield target.Extend('lighting-app', app=IMXApp.LIGHT) yield target.Extend('thermostat',","sysroot yield target.GlobBlacklist('Arm crosscompile does not support libreadline-dev') else: yield target # Without","yield target.Extend('all-clusters', app=cc13x2x7_26x2x7App.ALL_CLUSTERS) yield target.Extend('shell', app=cc13x2x7_26x2x7App.SHELL) def Cyw30739Targets(): yield Target('cyw30739-cyw930739m2evb_01-light', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LIGHT)","enable_rpcs=True) builder.AppendVariant(name=\"with-ota-requestor\", enable_ota_requestor=True) builder.WhitelistVariantNameForGlob('rpc') for target in builder.AllVariants(): yield target def NrfTargets(): target","' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') def InfineonTargets(): target = Target('infineon', InfineonBuilder) yield target.Extend('p6-lock', board=InfineonBoard.P6BOARD, app=InfineonApp.LOCK) yield","name): \"\"\" Whitelist the specified variant to be allowed for globbing. By default","self.Clone() clone.name += \"-\" + suffix clone.create_kw_args.update(kargs) return clone def Create(self, runner, repository_path:","QpgBuilder from builders.telink import TelinkApp, TelinkBoard, TelinkBuilder from builders.tizen import TizenApp, TizenBoard, TizenBuilder","builders.cyw30739 import Cyw30739App, Cyw30739Board, Cyw30739Builder from builders.efr32 import Efr32App, Efr32Board, Efr32Builder from builders.esp32","NrfConnectBuilder from builders.qpg import QpgApp, QpgBoard, QpgBuilder from builders.telink import TelinkApp, TelinkBoard, TelinkBuilder","target.Extend('nrf52840dongle-light', board=NrfBoard.NRF52840DONGLE, app=NrfApp.LIGHT) for target in targets: yield target.Extend('all-clusters', app=NrfApp.ALL_CLUSTERS) yield target.Extend('lock', app=NrfApp.LOCK)","Target('cyw30739-cyw930739m2evb_01-ota-requestor', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR).GlobBlacklist( \"Running out of XIP flash space\") yield Target('cyw30739-cyw930739m2evb_01-ota-requestor-no-progress-logging', Cyw30739Builder,","True return False def AllRequirementsMet(items: List[BuildVariant]) -> bool: \"\"\" Check that item.requires is","from builders.cyw30739 import Cyw30739App, Cyw30739Board, Cyw30739Builder from builders.efr32 import Efr32App, Efr32Board, Efr32Builder from","builder = VariantBuilder() # Possible build variants. Note that number of potential #","app=Cyw30739App.LIGHT) yield Target('cyw30739-cyw930739m2evb_01-lock', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LOCK) yield Target('cyw30739-cyw930739m2evb_01-ota-requestor', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR).GlobBlacklist( \"Running out","release=True) ALL = [] target_generators = [ HostTargets(), Esp32Targets(), Efr32Targets(), NrfTargets(), AndroidTargets(), MbedTargets(),","= Target('mbed', MbedBuilder) targets = [ target.Extend('CY8CPROTO_062_4343W', board=MbedBoard.CY8CPROTO_062_4343W), ] app_targets = [] for","== 'linux') and (HostBoard.NATIVE.BoardName() != HostBoard.ARM64.BoardName()) if cross_compile: targets.append(target.Extend('arm64', board=HostBoard.ARM64)) app_targets = []","board=InfineonBoard.P6BOARD, app=InfineonApp.LOCK) yield target.Extend('p6-all-clusters', board=InfineonBoard.P6BOARD, app=InfineonApp.ALL_CLUSTERS) yield target.Extend('p6-light', board=InfineonBoard.P6BOARD, app=InfineonApp.LIGHT) def AmebaTargets(): ameba_target","app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tvserver', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm-chip-tvserver', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TVServer) yield target.Extend('x86-chip-tvserver', board=AndroidBoard.X86, app=AndroidApp.CHIP_TVServer)","combinations(items, 2): if (a.name in b.conflicts) or (b.name in a.conflicts): return True return","efr_target.Extend('brd4186a', board=Efr32Board.BRD4186A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4187a', board=Efr32Board.BRD4187A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4304a', board=Efr32Board.BRD4304A).GlobBlacklist( 'only","AndroidApp, AndroidBoard, AndroidBuilder from builders.cc13x2x7_26x2x7 import cc13x2x7_26x2x7App, cc13x2x7_26x2x7Builder from builders.cyw30739 import Cyw30739App, Cyw30739Board,","app=InfineonApp.LIGHT) def AmebaTargets(): ameba_target = Target('ameba', AmebaBuilder) yield ameba_target.Extend('amebad-all-clusters', board=AmebaBoard.AMEBAD, app=AmebaApp.ALL_CLUSTERS) yield ameba_target.Extend('amebad-light',","def cc13x2x7_26x2x7Targets(): target = Target('cc13x2x7_26x2x7', cc13x2x7_26x2x7Builder) yield target.Extend('lock-ftd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=True) yield target.Extend('lock-mtd', app=cc13x2x7_26x2x7App.LOCK,","K32WTargets(), cc13x2x7_26x2x7Targets(), Cyw30739Targets(), QorvoTargets(), TizenTargets(), Bl602Targets(), IMXTargets(), ] for generator in target_generators: for","a list of acceptable variants for the given targets. Handles conflict resolution between","specified build) \"\"\" def __init__(self, name, builder_class, **kwargs): self.name = name self.builder_class =","exponential here. builder = VariantBuilder() builder.AppendVariant(name=\"no-ble\", enable_ble=False) builder.AppendVariant(name=\"no-wifi\", enable_wifi=False) builder.AppendVariant(name=\"asan\", use_asan=True) target =","target def Bl602Targets(): target = Target('bl602', Bl602Builder) yield target.Extend('light', board=Bl602Board.BL602BOARD, app=Bl602App.LIGHT) def IMXTargets():","cross_compile: targets.append(target.Extend('arm64', board=HostBoard.ARM64)) app_targets = [] # Don't cross compile some builds app_targets.append(","yield target.Extend('lighting-app-release', app=IMXApp.LIGHT, release=True) yield target.Extend('thermostat-release', app=IMXApp.THERMOSTAT, release=True) yield target.Extend('all-clusters-app-release', app=IMXApp.ALL_CLUSTERS, release=True) yield","builder.AppendVariant(name=\"ipv6only\", enable_ipv4=False), builder.AppendVariant(name=\"no-ble\", enable_ble=False), builder.AppendVariant(name=\"no-wifi\", enable_wifi=False), builder.AppendVariant(name=\"tsan\", conflicts=['asan'], use_tsan=True), builder.AppendVariant(name=\"asan\", conflicts=['tsan'], use_asan=True), builder.AppendVariant(name=\"libfuzzer\",","board=InfineonBoard.P6BOARD, app=InfineonApp.LIGHT) def AmebaTargets(): ameba_target = Target('ameba', AmebaBuilder) yield ameba_target.Extend('amebad-all-clusters', board=AmebaBoard.AMEBAD, app=AmebaApp.ALL_CLUSTERS) yield","[ v for v in self.variants if v.validator.Accept(target.name)] # Build every possible variant","runner=runner, **self.create_kw_args) builder.target = self builder.identifier = self.name builder.output_dir = os.path.join(output_prefix, self.name) builder.enable_flashbundle(enable_flashbundle)","build variants. Note that number of potential # builds is exponential here builder.AppendVariant(name=\"rpc\",","in self.glob_whitelist: if not variant_target.IsGlobBlacklisted: variant_target = variant_target.GlobBlacklist( 'Reduce default build variants') yield","yield target.Extend('light', board=QpgBoard.QPG6105, app=QpgApp.LIGHT) yield target.Extend('shell', board=QpgBoard.QPG6105, app=QpgApp.SHELL) yield target.Extend('persistent-storage', board=QpgBoard.QPG6105, app=QpgApp.PERSISTENT_STORAGE) def","an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either","out of XIP flash space\") yield Target('cyw30739-cyw930739m2evb_01-ota-requestor-no-progress-logging', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR, progress_logging=False) def QorvoTargets():","starting target. \"\"\" def __init__(self, targets: List[Target] = []): # note the clone","= Target(HostBoard.NATIVE.PlatformName(), HostBuilder) for board in [HostBoard.NATIVE, HostBoard.FAKE]: yield test_target.Extend(board.BoardName() + '-tests', board=board,","Esp32Board, Esp32Builder from builders.host import HostApp, HostBoard, HostBuilder from builders.infineon import InfineonApp, InfineonBoard,","from builders.mbed import MbedApp, MbedBoard, MbedBuilder, MbedProfile from builders.nrf import NrfApp, NrfBoard, NrfConnectBuilder","if s in name: return True return False class BuildVariant: def __init__(self, name:","not in self.glob_whitelist: if not variant_target.IsGlobBlacklisted: variant_target = variant_target.GlobBlacklist( 'Reduce default build variants')","for board in [HostBoard.NATIVE, HostBoard.FAKE]: yield test_target.Extend(board.BoardName() + '-tests', board=board, app=HostApp.TESTS) def Esp32Targets():","import TelinkApp, TelinkBoard, TelinkBuilder from builders.tizen import TizenApp, TizenBoard, TizenBuilder from builders.bl602 import","builder.WhitelistVariantNameForGlob('rpc') for target in builder.AllVariants(): yield target def NrfTargets(): target = Target('nrf', NrfConnectBuilder)","= Target('k32w', K32WBuilder) yield target.Extend('light-ota-se', app=K32WApp.LIGHT, release=True, disable_ble=True, se05x=True).GlobBlacklist(\"Only on demand build\") yield","number of potential # builds is exponential here builder.AppendVariant(name=\"rpc\", validator=AcceptNameWithSubstrings( ['-light', '-lock']), enable_rpcs=True)","yield Target('cyw30739-cyw930739m2evb_01-ota-requestor', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR).GlobBlacklist( \"Running out of XIP flash space\") yield Target('cyw30739-cyw930739m2evb_01-ota-requestor-no-progress-logging',","# distributed under the License is distributed on an \"AS IS\" BASIS, #","os from itertools import combinations from typing import List from builders.ameba import AmebaApp,","conflicts variant_target = target.Clone() for option in subgroup: variant_target = variant_target.Extend( option.name, **option.buildargs)","yield target.Extend('shell', app=NrfApp.SHELL) yield target.Extend('pump', app=NrfApp.PUMP) yield target.Extend('pump-controller', app=NrfApp.PUMP_CONTROLLER) rpc = target.Extend('light-rpc', app=NrfApp.LIGHT,","def __init__(self, targets: List[Target] = []): # note the clone in case the","esp32_target = Target('esp32', Esp32Builder) yield esp32_target.Extend('m5stack-all-clusters', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS) yield esp32_target.Extend('m5stack-all-clusters-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_ipv4=False)","is exponential here builder.AppendVariant(name=\"same-event-loop\", validator=AcceptNameWithSubstrings( ['-chip-tool', '-chip-tool-darwin']), separate_event_loop=False), builder.AppendVariant(name=\"no-interactive\", validator=AcceptNameWithSubstrings( ['-chip-tool']), interactive_mode=False), builder.AppendVariant(name=\"ipv6only\",","# Build every possible variant for variant_count in range(1, len(ok_variants) + 1): for","a.conflicts): return True return False def AllRequirementsMet(items: List[BuildVariant]) -> bool: \"\"\" Check that","app=Esp32App.BRIDGE) yield devkitc.Extend('temperature-measurement', app=Esp32App.TEMPERATURE_MEASUREMENT) yield devkitc.Extend('temperature-measurement-rpc', app=Esp32App.TEMPERATURE_MEASUREMENT, enable_rpcs=True) yield esp32_target.Extend('qemu-tests', board=Esp32Board.QEMU, app=Esp32App.TESTS) def","app=MbedApp.ALL_CLUSTERS)) app_targets.append(target.Extend('pigweed', app=MbedApp.PIGWEED)) app_targets.append(target.Extend('shell', app=MbedApp.SHELL)) for target in app_targets: yield target.Extend('release', profile=MbedProfile.RELEASE) yield","('-rpc-console' in target.name) or ('-python-bindings' in target.name) or ('nl-test-runner' in target.name): # Single-variant","# Possible build variants. Note that number of potential # builds is exponential","it (what builder class to use and what arguments are required to produce","target.Extend('light-rpc', app=NrfApp.LIGHT, enable_rpcs=True) if '-nrf5340dk-' in rpc.name: rpc = rpc.GlobBlacklist( 'Compile failure due","app=AndroidApp.CHIP_TVServer) yield target.Extend('arm-chip-tvserver', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TVServer) yield target.Extend('x86-chip-tvserver', board=AndroidBoard.X86, app=AndroidApp.CHIP_TVServer) yield target.Extend('x64-chip-tvserver', board=AndroidBoard.X64, app=AndroidApp.CHIP_TVServer)","with the License. # You may obtain a copy of the License at","self.glob_blacklist_reason = None self.create_kw_args = kwargs def Clone(self): \"\"\"Creates a clone of self.\"\"\"","MbedTargets(): target = Target('mbed', MbedBuilder) targets = [ target.Extend('CY8CPROTO_062_4343W', board=MbedBoard.CY8CPROTO_062_4343W), ] app_targets =","= self.Clone() if clone.glob_blacklist_reason: clone.glob_blacklist_reason += \", \" clone.glob_blacklist_reason += reason else: clone.glob_blacklist_reason","yield target.Extend('arm-chip-tvserver', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TVServer) yield target.Extend('x86-chip-tvserver', board=AndroidBoard.X86, app=AndroidApp.CHIP_TVServer) yield target.Extend('x64-chip-tvserver', board=AndroidBoard.X64, app=AndroidApp.CHIP_TVServer) yield","is not None @property def GlobBlacklistReason(self): return self.glob_blacklist_reason class AcceptAnyName: def Accept(self, name:","not compile by default on arm cross compiles # because libreadline is not","yield target.Extend('androidstudio-x86-chip-tool', board=AndroidBoard.AndroidStudio_X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x64-chip-tool', board=AndroidBoard.AndroidStudio_X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tvserver', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TVServer) yield","law or agreed to in writing, software # distributed under the License is","parameters on how to build it (what builder class to use and what","profile=MbedProfile.RELEASE) yield target.Extend('develop', profile=MbedProfile.DEVELOP).GlobBlacklist( 'Compile only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') yield","from builders.tizen import TizenApp, TizenBoard, TizenBuilder from builders.bl602 import Bl602App, Bl602Board, Bl602Builder from","target.Extend('x64-chip-tvserver', board=AndroidBoard.X64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm64-chip-tv-casting-app', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TV_CASTING_APP) yield target.Extend('arm-chip-tv-casting-app', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TV_CASTING_APP) def MbedTargets():","Target('cc13x2x7_26x2x7', cc13x2x7_26x2x7Builder) yield target.Extend('lock-ftd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=True) yield target.Extend('lock-mtd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=False) yield target.Extend('pump', app=cc13x2x7_26x2x7App.PUMP)","yield target_native.Extend('chip-cert', app=HostApp.CERT_TOOL) yield target_native.Extend('address-resolve-tool', app=HostApp.ADDRESS_RESOLVE) yield target_native.Extend('address-resolve-tool-clang', app=HostApp.ADDRESS_RESOLVE, use_clang=True).GlobBlacklist(\"Reduce default build variants\")","target.Extend('nrf52840dk', board=NrfBoard.NRF52840DK), ] # Enable nrf52840dongle for all-clusters and lighting app only yield","] for generator in target_generators: for target in generator: ALL.append(target) # Simple targets","ok_variants = [ v for v in self.variants if v.validator.Accept(target.name)] # Build every","cc13x2x7_26x2x7Builder) yield target.Extend('lock-ftd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=True) yield target.Extend('lock-mtd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=False) yield target.Extend('pump', app=cc13x2x7_26x2x7App.PUMP) yield","TizenTargets(): # Possible build variants. # NOTE: The number of potential builds is","in target.name) or ('-python-bindings' in target.name) or ('nl-test-runner' in target.name): # Single-variant builds","yield Target('cyw30739-cyw930739m2evb_01-lock', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LOCK) yield Target('cyw30739-cyw930739m2evb_01-ota-requestor', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR).GlobBlacklist( \"Running out of","yield target.Extend('p6-all-clusters', board=InfineonBoard.P6BOARD, app=InfineonApp.ALL_CLUSTERS) yield target.Extend('p6-light', board=InfineonBoard.P6BOARD, app=InfineonApp.LIGHT) def AmebaTargets(): ameba_target = Target('ameba',","NrfTargets(): target = Target('nrf', NrfConnectBuilder) yield target.Extend('native-posix-64-tests', board=NrfBoard.NATIVE_POSIX_64, app=NrfApp.UNIT_TESTS) targets = [ target.Extend('nrf5340dk',","builder.AppendVariant(name=\"asan\", conflicts=['tsan'], use_asan=True), builder.AppendVariant(name=\"libfuzzer\", requires=[ \"clang\"], use_libfuzzer=True), builder.AppendVariant(name=\"clang\", use_clang=True), builder.AppendVariant(name=\"test\", extra_tests=True), builder.WhitelistVariantNameForGlob('no-interactive-ipv6only') builder.WhitelistVariantNameForGlob('ipv6only')","builder.AppendVariant(name=\"ipv6only\", enable_ipv4=False) \"\"\" self.variants.append(BuildVariant(**args)) def AllVariants(self): \"\"\" Yields a list of acceptable variants","in compliance with the License. # You may obtain a copy of the","License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or","all-clusters and lighting app only yield target.Extend('nrf52840dongle-all-clusters', board=NrfBoard.NRF52840DONGLE, app=NrfApp.ALL_CLUSTERS) yield target.Extend('nrf52840dongle-light', board=NrfBoard.NRF52840DONGLE, app=NrfApp.LIGHT)","in self.targets: yield target # skip variants that do not work for this","release=True) yield target.Extend('lock-release', app=K32WApp.LOCK, release=True) yield target.Extend('lock-low-power-release', app=K32WApp.LOCK, low_power=True, release=True).GlobBlacklist(\"Only on demand build\")","builds will not compile by default on arm cross compiles # because libreadline","acceptable variants for the given targets. Handles conflict resolution between build variants and","K32WBuilder from builders.mbed import MbedApp, MbedBoard, MbedBuilder, MbedProfile from builders.nrf import NrfApp, NrfBoard,","and # limitations under the License. import os from itertools import combinations from","import Esp32App, Esp32Board, Esp32Builder from builders.host import HostApp, HostBoard, HostBuilder from builders.infineon import","variant_target = variant_target.Extend( option.name, **option.buildargs) # Only a few are whitelisted for globs","board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True) yield esp32_target.Extend('m5stack-all-clusters-rpc-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True, enable_ipv4=False) yield esp32_target.Extend('c3devkit-all-clusters', board=Esp32Board.C3DevKit, app=Esp32App.ALL_CLUSTERS)","+ 1): for subgroup in combinations(ok_variants, variant_count): if HasConflicts(subgroup): continue if not AllRequirementsMet(subgroup):","BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.","to produce the specified build) \"\"\" def __init__(self, name, builder_class, **kwargs): self.name =","@property def GlobBlacklistReason(self): return self.glob_blacklist_reason class AcceptAnyName: def Accept(self, name: str): return True","a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required","target.Extend('ota-provider-app-release', app=IMXApp.OTA_PROVIDER, release=True) ALL = [] target_generators = [ HostTargets(), Esp32Targets(), Efr32Targets(), NrfTargets(),","because libreadline is not part of the default sysroot yield target.GlobBlacklist('Arm crosscompile does","on arm cross compiles # because libreadline is not part of the default","Bl602App, Bl602Board, Bl602Builder from builders.imx import IMXApp, IMXBuilder class Target: \"\"\"Represents a build","'only user requested'), efr_target.Extend('brd4304a', board=Efr32Board.BRD4304A).GlobBlacklist( 'only user requested') ] builder = VariantBuilder() for","here. builder = VariantBuilder() builder.AppendVariant(name=\"no-ble\", enable_ble=False) builder.AppendVariant(name=\"no-wifi\", enable_wifi=False) builder.AppendVariant(name=\"asan\", use_asan=True) target = Target('tizen-arm',","compiler. ' 'https://pigweed-review.googlesource.com/c/pigweed/pigweed/+/66760') yield rpc def AndroidTargets(): target = Target('android', AndroidBuilder) yield target.Extend('arm-chip-tool',","str, output_prefix: str, enable_flashbundle: bool): builder = self.builder_class( repository_path, runner=runner, **self.create_kw_args) builder.target =","target.Extend('pump-controller', app=NrfApp.PUMP_CONTROLLER) rpc = target.Extend('light-rpc', app=NrfApp.LIGHT, enable_rpcs=True) if '-nrf5340dk-' in rpc.name: rpc =","target = Target('imx', IMXBuilder) yield target.Extend('chip-tool', app=IMXApp.CHIP_TOOL) yield target.Extend('lighting-app', app=IMXApp.LIGHT) yield target.Extend('thermostat', app=IMXApp.THERMOSTAT)","<filename>scripts/build/build/targets.py # Copyright (c) 2021 Project CHIP Authors # # Licensed under the","builds yield target else: builder.targets.append(target) for target in builder.AllVariants(): if cross_compile and 'chip-tool'","builder.AllVariants(): if cross_compile and 'chip-tool' in target.name and 'arm64' in target.name and '-no-interactive'","app=IMXApp.OTA_PROVIDER) yield target.Extend('chip-tool-release', app=IMXApp.CHIP_TOOL, release=True) yield target.Extend('lighting-app-release', app=IMXApp.LIGHT, release=True) yield target.Extend('thermostat-release', app=IMXApp.THERMOSTAT, release=True)","for option in subgroup: variant_target = variant_target.Extend( option.name, **option.buildargs) # Only a few","s in self.substr: if s in name: return True return False class BuildVariant:","\"\"\" def __init__(self, name, builder_class, **kwargs): self.name = name self.builder_class = builder_class self.glob_blacklist_reason","devkitc.Extend('all-clusters-ipv6only', app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield devkitc.Extend('shell', app=Esp32App.SHELL) yield devkitc.Extend('light', app=Esp32App.LIGHT) yield devkitc.Extend('lock', app=Esp32App.LOCK) yield","rpc.GlobBlacklist( 'Compile failure due to pw_build args not forwarded to proto compiler. '","app=AndroidApp.CHIP_TV_CASTING_APP) yield target.Extend('arm-chip-tv-casting-app', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TV_CASTING_APP) def MbedTargets(): target = Target('mbed', MbedBuilder) targets =","builders.k32w import K32WApp, K32WBuilder from builders.mbed import MbedApp, MbedBoard, MbedBuilder, MbedProfile from builders.nrf","\"\"\"Creates a clone of the current object extending its build parameters. Arguments: suffix:","yield ameba_target.Extend('amebad-pigweed', board=AmebaBoard.AMEBAD, app=AmebaApp.PIGWEED) def K32WTargets(): target = Target('k32w', K32WBuilder) yield target.Extend('light-ota-se', app=K32WApp.LIGHT,","AcceptNameWithSubstrings: def __init__(self, substr: List[str]): self.substr = substr def Accept(self, name: str): for","False class BuildVariant: def __init__(self, name: str, validator=AcceptAnyName(), conflicts: List[str] = [], requires:","default on arm cross compiles # because libreadline is not part of the","app=MbedApp.LIGHT)) app_targets.append(target.Extend( 'all-clusters', app=MbedApp.ALL_CLUSTERS)) app_targets.append(target.Extend('pigweed', app=MbedApp.PIGWEED)) app_targets.append(target.Extend('shell', app=MbedApp.SHELL)) for target in app_targets: yield","to proto compiler. ' 'https://pigweed-review.googlesource.com/c/pigweed/pigweed/+/66760') yield rpc def AndroidTargets(): target = Target('android', AndroidBuilder)","class AcceptNameWithSubstrings: def __init__(self, substr: List[str]): self.substr = substr def Accept(self, name: str):","yield target.Extend('arm64-chip-tv-casting-app', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TV_CASTING_APP) yield target.Extend('arm-chip-tv-casting-app', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TV_CASTING_APP) def MbedTargets(): target = Target('mbed',","validator=AcceptAnyName(), conflicts: List[str] = [], requires: List[str] = [], **buildargs): self.name = name","globs name = '-'.join([o.name for o in subgroup]) if name not in self.glob_whitelist:","AllRequirementsMet(subgroup): continue # Target ready to be created - no conflicts variant_target =","app=InfineonApp.LOCK) yield target.Extend('p6-all-clusters', board=InfineonBoard.P6BOARD, app=InfineonApp.ALL_CLUSTERS) yield target.Extend('p6-light', board=InfineonBoard.P6BOARD, app=InfineonApp.LIGHT) def AmebaTargets(): ameba_target =","is not part of the default sysroot yield target.GlobBlacklist('Arm crosscompile does not support","builder = self.builder_class( repository_path, runner=runner, **self.create_kw_args) builder.target = self builder.identifier = self.name builder.output_dir","in subgroup: variant_target = variant_target.Extend( option.name, **option.buildargs) # Only a few are whitelisted","in combinations(ok_variants, variant_count): if HasConflicts(subgroup): continue if not AllRequirementsMet(subgroup): continue # Target ready","yield target.GlobBlacklist('Arm crosscompile does not support libreadline-dev') else: yield target # Without extra","name self.validator = validator self.conflicts = conflicts self.buildargs = buildargs self.requires = requires","= Target('nrf', NrfConnectBuilder) yield target.Extend('native-posix-64-tests', board=NrfBoard.NATIVE_POSIX_64, app=NrfApp.UNIT_TESTS) targets = [ target.Extend('nrf5340dk', board=NrfBoard.NRF5340DK), target.Extend('nrf52840dk',","app=Cyw30739App.OTA_REQUESTOR, progress_logging=False) def QorvoTargets(): target = Target('qpg', QpgBuilder) yield target.Extend('lock', board=QpgBoard.QPG6105, app=QpgApp.LOCK) yield","cc13x2x7_26x2x7Targets(), Cyw30739Targets(), QorvoTargets(), TizenTargets(), Bl602Targets(), IMXTargets(), ] for generator in target_generators: for target","bool: for a, b in combinations(items, 2): if (a.name in b.conflicts) or (b.name","note the clone in case the default arg is used self.targets = targets[:]","cross_compile and 'chip-tool' in target.name and 'arm64' in target.name and '-no-interactive' not in","compile cross_compile = (HostBoard.NATIVE.PlatformName() == 'linux') and (HostBoard.NATIVE.BoardName() != HostBoard.ARM64.BoardName()) if cross_compile: targets.append(target.Extend('arm64',","Target('cyw30739-cyw930739m2evb_01-light', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LIGHT) yield Target('cyw30739-cyw930739m2evb_01-lock', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LOCK) yield Target('cyw30739-cyw930739m2evb_01-ota-requestor', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01,","for board_target in board_targets: builder.targets.append(board_target.Extend( 'window-covering', app=Efr32App.WINDOW_COVERING)) builder.targets.append(board_target.Extend( 'switch', app=Efr32App.SWITCH)) builder.targets.append(board_target.Extend( 'unit-test', app=Efr32App.UNIT_TEST))","target else: builder.targets.append(target) for target in builder.AllVariants(): if cross_compile and 'chip-tool' in target.name","return True class AcceptNameWithSubstrings: def __init__(self, substr: List[str]): self.substr = substr def Accept(self,","to build it (what builder class to use and what arguments are required","release=True, disable_ble=True, se05x=True).GlobBlacklist(\"Only on demand build\") yield target.Extend('light-release-no-ota', app=K32WApp.LIGHT, tokenizer=True, disable_ota=True, release=True) yield","builder = VariantBuilder() for board_target in board_targets: builder.targets.append(board_target.Extend( 'window-covering', app=Efr32App.WINDOW_COVERING)) builder.targets.append(board_target.Extend( 'switch', app=Efr32App.SWITCH))","= Target('android', AndroidBuilder) yield target.Extend('arm-chip-tool', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tool', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x64-chip-tool',","target = Target('qpg', QpgBuilder) yield target.Extend('lock', board=QpgBoard.QPG6105, app=QpgApp.LOCK) yield target.Extend('light', board=QpgBoard.QPG6105, app=QpgApp.LIGHT) yield","= builder_class self.glob_blacklist_reason = None self.create_kw_args = kwargs def Clone(self): \"\"\"Creates a clone","devkitc.Extend('temperature-measurement', app=Esp32App.TEMPERATURE_MEASUREMENT) yield devkitc.Extend('temperature-measurement-rpc', app=Esp32App.TEMPERATURE_MEASUREMENT, enable_rpcs=True) yield esp32_target.Extend('qemu-tests', board=Esp32Board.QEMU, app=Esp32App.TESTS) def Efr32Targets(): efr_target","\"\"\" Check that item.requires is satisfied for all items in the given list","board=AndroidBoard.X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x86-chip-tool', board=AndroidBoard.X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-test', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TEST) yield target.Extend('androidstudio-arm-chip-tool', board=AndroidBoard.AndroidStudio_ARM,","for variant_count in range(1, len(ok_variants) + 1): for subgroup in combinations(ok_variants, variant_count): if","+ '-tests', board=board, app=HostApp.TESTS) def Esp32Targets(): esp32_target = Target('esp32', Esp32Builder) yield esp32_target.Extend('m5stack-all-clusters', board=Esp32Board.M5Stack,","yield target # skip variants that do not work for this target ok_variants","devkitc.Extend('bridge', app=Esp32App.BRIDGE) yield devkitc.Extend('temperature-measurement', app=Esp32App.TEMPERATURE_MEASUREMENT) yield devkitc.Extend('temperature-measurement-rpc', app=Esp32App.TEMPERATURE_MEASUREMENT, enable_rpcs=True) yield esp32_target.Extend('qemu-tests', board=Esp32Board.QEMU, app=Esp32App.TESTS)","+= \", \" clone.glob_blacklist_reason += reason else: clone.glob_blacklist_reason = reason return clone @property","distributed under the License is distributed on an \"AS IS\" BASIS, # WITHOUT","Target(HostBoard.NATIVE.PlatformName(), HostBuilder) target_native = target.Extend(HostBoard.NATIVE.BoardName(), board=HostBoard.NATIVE) targets = [target_native] # x64 linux supports","return self.glob_blacklist_reason is not None @property def GlobBlacklistReason(self): return self.glob_blacklist_reason class AcceptAnyName: def","app=Efr32App.UNIT_TEST)) builder.targets.append( board_target.Extend('light', app=Efr32App.LIGHT)) builder.targets.append(board_target.Extend('lock', app=Efr32App.LOCK)) # Possible build variants. Note that number","on a starting target. \"\"\" def __init__(self, targets: List[Target] = []): # note","board=NrfBoard.NRF52840DONGLE, app=NrfApp.ALL_CLUSTERS) yield target.Extend('nrf52840dongle-light', board=NrfBoard.NRF52840DONGLE, app=NrfApp.LIGHT) for target in targets: yield target.Extend('all-clusters', app=NrfApp.ALL_CLUSTERS)","variant_count): if HasConflicts(subgroup): continue if not AllRequirementsMet(subgroup): continue # Target ready to be","variants\") test_target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) for board in [HostBoard.NATIVE, HostBoard.FAKE]: yield test_target.Extend(board.BoardName() +","exponential here builder.AppendVariant(name=\"rpc\", validator=AcceptNameWithSubstrings( ['-light', '-lock']), enable_rpcs=True) builder.AppendVariant(name=\"with-ota-requestor\", enable_ota_requestor=True) builder.WhitelistVariantNameForGlob('rpc') for target in","target.Extend('androidstudio-x64-chip-tool', board=AndroidBoard.AndroidStudio_X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tvserver', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm-chip-tvserver', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TVServer) yield target.Extend('x86-chip-tvserver',","release=True).GlobBlacklist(\"Only on demand build\") def cc13x2x7_26x2x7Targets(): target = Target('cc13x2x7_26x2x7', cc13x2x7_26x2x7Builder) yield target.Extend('lock-ftd', app=cc13x2x7_26x2x7App.LOCK,","targets. \"\"\" for target in self.targets: yield target # skip variants that do","self.targets: yield target # skip variants that do not work for this target","enable_ipv4=False) yield esp32_target.Extend('m5stack-all-clusters-rpc', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True) yield esp32_target.Extend('m5stack-all-clusters-rpc-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True, enable_ipv4=False) yield","target.Extend('all-clusters-app', app=IMXApp.ALL_CLUSTERS) yield target.Extend('ota-provider-app', app=IMXApp.OTA_PROVIDER) yield target.Extend('chip-tool-release', app=IMXApp.CHIP_TOOL, release=True) yield target.Extend('lighting-app-release', app=IMXApp.LIGHT, release=True)","based on a starting target. \"\"\" def __init__(self, targets: List[Target] = []): #","of acceptable variants for the given targets. Handles conflict resolution between build variants","target.Extend('light-release-no-ota', app=K32WApp.LIGHT, tokenizer=True, disable_ota=True, release=True) yield target.Extend('shell-release', app=K32WApp.SHELL, release=True) yield target.Extend('lock-release', app=K32WApp.LOCK, release=True)","builder.AppendVariant(name=\"with-ota-requestor\", enable_ota_requestor=True) builder.WhitelistVariantNameForGlob('rpc') for target in builder.AllVariants(): yield target def NrfTargets(): target =","return True class VariantBuilder: \"\"\"Handles creating multiple build variants based on a starting","are whitelisted for globs name = '-'.join([o.name for o in subgroup]) if name","yield target.Extend('lock-mtd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=False) yield target.Extend('pump', app=cc13x2x7_26x2x7App.PUMP) yield target.Extend('pump-controller', app=cc13x2x7_26x2x7App.PUMP_CONTROLLER) yield target.Extend('all-clusters', app=cc13x2x7_26x2x7App.ALL_CLUSTERS)","app_targets.append(target.Extend( 'ota-requestor', app=HostApp.OTA_REQUESTOR, enable_ble=False)) app_targets.append(target.Extend('python-bindings', app=HostApp.PYTHON_BINDINGS)) builder = VariantBuilder() # Possible build variants.","yield target.Extend('p6-lock', board=InfineonBoard.P6BOARD, app=InfineonApp.LOCK) yield target.Extend('p6-all-clusters', board=InfineonBoard.P6BOARD, app=InfineonApp.ALL_CLUSTERS) yield target.Extend('p6-light', board=InfineonBoard.P6BOARD, app=InfineonApp.LIGHT) def","item in items: for requirement in item.requires: if requirement not in available: return","this file except in compliance with the License. # You may obtain a","def __init__(self, substr: List[str]): self.substr = substr def Accept(self, name: str): for s","yield target.Extend('light-ota-se', app=K32WApp.LIGHT, release=True, disable_ble=True, se05x=True).GlobBlacklist(\"Only on demand build\") yield target.Extend('light-release-no-ota', app=K32WApp.LIGHT, tokenizer=True,","import TizenApp, TizenBoard, TizenBuilder from builders.bl602 import Bl602App, Bl602Board, Bl602Builder from builders.imx import","[ target.Extend('nrf5340dk', board=NrfBoard.NRF5340DK), target.Extend('nrf52840dk', board=NrfBoard.NRF52840DK), ] # Enable nrf52840dongle for all-clusters and lighting","**option.buildargs) # Only a few are whitelisted for globs name = '-'.join([o.name for","\"\"\"Creates a clone of self.\"\"\" clone = Target(self.name, self.builder_class, **self.create_kw_args.copy()) clone.glob_blacklist_reason = self.glob_blacklist_reason","target.Extend('thermostat', app=IMXApp.THERMOSTAT) yield target.Extend('all-clusters-app', app=IMXApp.ALL_CLUSTERS) yield target.Extend('ota-provider-app', app=IMXApp.OTA_PROVIDER) yield target.Extend('chip-tool-release', app=IMXApp.CHIP_TOOL, release=True) yield","yield target.Extend('ota-provider-app', app=IMXApp.OTA_PROVIDER) yield target.Extend('chip-tool-release', app=IMXApp.CHIP_TOOL, release=True) yield target.Extend('lighting-app-release', app=IMXApp.LIGHT, release=True) yield target.Extend('thermostat-release',","HostBuilder) target_native = target.Extend(HostBoard.NATIVE.BoardName(), board=HostBoard.NATIVE) targets = [target_native] # x64 linux supports cross","ameba_target = Target('ameba', AmebaBuilder) yield ameba_target.Extend('amebad-all-clusters', board=AmebaBoard.AMEBAD, app=AmebaApp.ALL_CLUSTERS) yield ameba_target.Extend('amebad-light', board=AmebaBoard.AMEBAD, app=AmebaApp.LIGHT) yield","enable_ipv4=False) \"\"\" self.variants.append(BuildVariant(**args)) def AllVariants(self): \"\"\" Yields a list of acceptable variants for","use_tsan=True), builder.AppendVariant(name=\"asan\", conflicts=['tsan'], use_asan=True), builder.AppendVariant(name=\"libfuzzer\", requires=[ \"clang\"], use_libfuzzer=True), builder.AppendVariant(name=\"clang\", use_clang=True), builder.AppendVariant(name=\"test\", extra_tests=True), builder.WhitelistVariantNameForGlob('no-interactive-ipv6only')","[], requires: List[str] = [], **buildargs): self.name = name self.validator = validator self.conflicts","here builder.AppendVariant(name=\"rpc\", validator=AcceptNameWithSubstrings( ['-light', '-lock']), enable_rpcs=True) builder.AppendVariant(name=\"with-ota-requestor\", enable_ota_requestor=True) builder.WhitelistVariantNameForGlob('rpc') for target in builder.AllVariants():","'-tests', board=board, app=HostApp.TESTS) def Esp32Targets(): esp32_target = Target('esp32', Esp32Builder) yield esp32_target.Extend('m5stack-all-clusters', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS)","user requested'), efr_target.Extend('brd4186a', board=Efr32Board.BRD4186A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4187a', board=Efr32Board.BRD4187A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4304a',","= requires def HasConflicts(items: List[BuildVariant]) -> bool: for a, b in combinations(items, 2):","enable_ble=False)) app_targets.append(target.Extend('python-bindings', app=HostApp.PYTHON_BINDINGS)) builder = VariantBuilder() # Possible build variants. Note that number","def AmebaTargets(): ameba_target = Target('ameba', AmebaBuilder) yield ameba_target.Extend('amebad-all-clusters', board=AmebaBoard.AMEBAD, app=AmebaApp.ALL_CLUSTERS) yield ameba_target.Extend('amebad-light', board=AmebaBoard.AMEBAD,","AmebaTargets(), K32WTargets(), cc13x2x7_26x2x7Targets(), Cyw30739Targets(), QorvoTargets(), TizenTargets(), Bl602Targets(), IMXTargets(), ] for generator in target_generators:","self.glob_whitelist = [] def WhitelistVariantNameForGlob(self, name): \"\"\" Whitelist the specified variant to be","exponential here builder.AppendVariant(name=\"same-event-loop\", validator=AcceptNameWithSubstrings( ['-chip-tool', '-chip-tool-darwin']), separate_event_loop=False), builder.AppendVariant(name=\"no-interactive\", validator=AcceptNameWithSubstrings( ['-chip-tool']), interactive_mode=False), builder.AppendVariant(name=\"ipv6only\", enable_ipv4=False),","case the default arg is used self.targets = targets[:] self.variants = [] self.glob_whitelist","target_native.Extend('chip-cert', app=HostApp.CERT_TOOL) yield target_native.Extend('address-resolve-tool', app=HostApp.ADDRESS_RESOLVE) yield target_native.Extend('address-resolve-tool-clang', app=HostApp.ADDRESS_RESOLVE, use_clang=True).GlobBlacklist(\"Reduce default build variants\") yield","= conflicts self.buildargs = buildargs self.requires = requires def HasConflicts(items: List[BuildVariant]) -> bool:","target.Extend('all-clusters', app=NrfApp.ALL_CLUSTERS) yield target.Extend('lock', app=NrfApp.LOCK) yield target.Extend('light', app=NrfApp.LIGHT) yield target.Extend('shell', app=NrfApp.SHELL) yield target.Extend('pump',","[] self.glob_whitelist = [] def WhitelistVariantNameForGlob(self, name): \"\"\" Whitelist the specified variant to","1): for subgroup in combinations(ok_variants, variant_count): if HasConflicts(subgroup): continue if not AllRequirementsMet(subgroup): continue","to be created - no conflicts variant_target = target.Clone() for option in subgroup:","potential # builds is exponential here builder.AppendVariant(name=\"same-event-loop\", validator=AcceptNameWithSubstrings( ['-chip-tool', '-chip-tool-darwin']), separate_event_loop=False), builder.AppendVariant(name=\"no-interactive\", validator=AcceptNameWithSubstrings(","target.Extend('lighting-app-release', app=IMXApp.LIGHT, release=True) yield target.Extend('thermostat-release', app=IMXApp.THERMOSTAT, release=True) yield target.Extend('all-clusters-app-release', app=IMXApp.ALL_CLUSTERS, release=True) yield target.Extend('ota-provider-app-release',","target_native.Extend('tv-app', app=HostApp.TV_APP)) app_targets.append( target_native.Extend('tv-casting-app', app=HostApp.TV_CASTING_APP)) app_targets.append( target_native.Extend('nl-test-runner', app=HostApp.NL_TEST_RUNNER)) for target in targets: app_targets.append(target.Extend(","__init__(self, name: str, validator=AcceptAnyName(), conflicts: List[str] = [], requires: List[str] = [], **buildargs):","are required to produce the specified build) \"\"\" def __init__(self, name, builder_class, **kwargs):","target in self.targets: yield target # skip variants that do not work for","runner, repository_path: str, output_prefix: str, enable_flashbundle: bool): builder = self.builder_class( repository_path, runner=runner, **self.create_kw_args)","= VariantBuilder() # Possible build variants. Note that number of potential # builds","self.substr: if s in name: return True return False class BuildVariant: def __init__(self,","debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') def InfineonTargets(): target = Target('infineon', InfineonBuilder) yield target.Extend('p6-lock',","app_targets.append(target.Extend('shell', app=HostApp.SHELL)) app_targets.append(target.Extend( 'ota-provider', app=HostApp.OTA_PROVIDER, enable_ble=False)) app_targets.append(target.Extend( 'ota-requestor', app=HostApp.OTA_REQUESTOR, enable_ble=False)) app_targets.append(target.Extend('python-bindings', app=HostApp.PYTHON_BINDINGS)) builder","ALL.append(Target('telink-tlsr9518adk80d-light-switch', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.SWITCH)) # have a consistent order overall ALL.sort(key=lambda t: t.name)","= Target('cc13x2x7_26x2x7', cc13x2x7_26x2x7Builder) yield target.Extend('lock-ftd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=True) yield target.Extend('lock-mtd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=False) yield target.Extend('pump',","from builders.nrf import NrfApp, NrfBoard, NrfConnectBuilder from builders.qpg import QpgApp, QpgBoard, QpgBuilder from","builders.nrf import NrfApp, NrfBoard, NrfConnectBuilder from builders.qpg import QpgApp, QpgBoard, QpgBuilder from builders.telink","= [] for target in targets: app_targets.append(target.Extend('lock', app=MbedApp.LOCK)) app_targets.append(target.Extend('light', app=MbedApp.LIGHT)) app_targets.append(target.Extend( 'all-clusters', app=MbedApp.ALL_CLUSTERS))","Interactive builds will not compile by default on arm cross compiles # because","def Bl602Targets(): target = Target('bl602', Bl602Builder) yield target.Extend('light', board=Bl602Board.BL602BOARD, app=Bl602App.LIGHT) def IMXTargets(): target","def AppendVariant(self, **args): \"\"\" Add another variant to accepted variants. Arguments are construction","target.Extend('shell-release', app=K32WApp.SHELL, release=True) yield target.Extend('lock-release', app=K32WApp.LOCK, release=True) yield target.Extend('lock-low-power-release', app=K32WApp.LOCK, low_power=True, release=True).GlobBlacklist(\"Only on","yield test_target.Extend(board.BoardName() + '-tests', board=board, app=HostApp.TESTS) def Esp32Targets(): esp32_target = Target('esp32', Esp32Builder) yield","= Target('imx', IMXBuilder) yield target.Extend('chip-tool', app=IMXApp.CHIP_TOOL) yield target.Extend('lighting-app', app=IMXApp.LIGHT) yield target.Extend('thermostat', app=IMXApp.THERMOSTAT) yield","use and what arguments are required to produce the specified build) \"\"\" def","= substr def Accept(self, name: str): for s in self.substr: if s in","a starting target. \"\"\" def __init__(self, targets: List[Target] = []): # note the","# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to","support libreadline-dev') else: yield target # Without extra build variants yield target_native.Extend('chip-cert', app=HostApp.CERT_TOOL)","generator in target_generators: for target in generator: ALL.append(target) # Simple targets added one","for item in items: for requirement in item.requires: if requirement not in available:","target.Extend('lock-ftd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=True) yield target.Extend('lock-mtd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=False) yield target.Extend('pump', app=cc13x2x7_26x2x7App.PUMP) yield target.Extend('pump-controller', app=cc13x2x7_26x2x7App.PUMP_CONTROLLER)","yield target.Extend('shell', app=cc13x2x7_26x2x7App.SHELL) def Cyw30739Targets(): yield Target('cyw30739-cyw930739m2evb_01-light', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LIGHT) yield Target('cyw30739-cyw930739m2evb_01-lock', Cyw30739Builder,","yield target.Extend('chip-tool-release', app=IMXApp.CHIP_TOOL, release=True) yield target.Extend('lighting-app-release', app=IMXApp.LIGHT, release=True) yield target.Extend('thermostat-release', app=IMXApp.THERMOSTAT, release=True) yield","import List from builders.ameba import AmebaApp, AmebaBoard, AmebaBuilder from builders.android import AndroidApp, AndroidBoard,","in items]) for item in items: for requirement in item.requires: if requirement not","] app_targets = [] for target in targets: app_targets.append(target.Extend('lock', app=MbedApp.LOCK)) app_targets.append(target.Extend('light', app=MbedApp.LIGHT)) app_targets.append(target.Extend(","app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=True) yield target.Extend('lock-mtd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=False) yield target.Extend('pump', app=cc13x2x7_26x2x7App.PUMP) yield target.Extend('pump-controller', app=cc13x2x7_26x2x7App.PUMP_CONTROLLER) yield","resolution between build variants and globbing whitelist targets. \"\"\" for target in self.targets:","builder.AllVariants(): yield target def NrfTargets(): target = Target('nrf', NrfConnectBuilder) yield target.Extend('native-posix-64-tests', board=NrfBoard.NATIVE_POSIX_64, app=NrfApp.UNIT_TESTS)","app=HostApp.TESTS) def Esp32Targets(): esp32_target = Target('esp32', Esp32Builder) yield esp32_target.Extend('m5stack-all-clusters', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS) yield esp32_target.Extend('m5stack-all-clusters-ipv6only',","return self.glob_blacklist_reason class AcceptAnyName: def Accept(self, name: str): return True class AcceptNameWithSubstrings: def","= [ efr_target.Extend('brd4161a', board=Efr32Board.BRD4161A), efr_target.Extend('brd4163a', board=Efr32Board.BRD4163A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4164a', board=Efr32Board.BRD4164A).GlobBlacklist( 'only user","available = set([item.name for item in items]) for item in items: for requirement","def GlobBlacklistReason(self): return self.glob_blacklist_reason class AcceptAnyName: def Accept(self, name: str): return True class","app=HostApp.OTA_PROVIDER, enable_ble=False)) app_targets.append(target.Extend( 'ota-requestor', app=HostApp.OTA_REQUESTOR, enable_ble=False)) app_targets.append(target.Extend('python-bindings', app=HostApp.PYTHON_BINDINGS)) builder = VariantBuilder() # Possible","required by applicable law or agreed to in writing, software # distributed under","release=True) yield target.Extend('shell-release', app=K32WApp.SHELL, release=True) yield target.Extend('lock-release', app=K32WApp.LOCK, release=True) yield target.Extend('lock-low-power-release', app=K32WApp.LOCK, low_power=True,","List[BuildVariant]) -> bool: for a, b in combinations(items, 2): if (a.name in b.conflicts)","demand build\") def cc13x2x7_26x2x7Targets(): target = Target('cc13x2x7_26x2x7', cc13x2x7_26x2x7Builder) yield target.Extend('lock-ftd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=True) yield","variants that do not work for this target ok_variants = [ v for","Don't cross compile some builds app_targets.append( target_native.Extend('rpc-console', app=HostApp.RPC_CONSOLE)) app_targets.append( target_native.Extend('tv-app', app=HostApp.TV_APP)) app_targets.append( target_native.Extend('tv-casting-app',","devkitc = esp32_target.Extend('devkitc', board=Esp32Board.DevKitC) yield devkitc.Extend('all-clusters', app=Esp32App.ALL_CLUSTERS) yield devkitc.Extend('all-clusters-ipv6only', app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield devkitc.Extend('shell',","def NrfTargets(): target = Target('nrf', NrfConnectBuilder) yield target.Extend('native-posix-64-tests', board=NrfBoard.NATIVE_POSIX_64, app=NrfApp.UNIT_TESTS) targets = [","self.variants if v.validator.Accept(target.name)] # Build every possible variant for variant_count in range(1, len(ok_variants)","in target.name: # Interactive builds will not compile by default on arm cross","target in builder.AllVariants(): yield target def NrfTargets(): target = Target('nrf', NrfConnectBuilder) yield target.Extend('native-posix-64-tests',","app=InfineonApp.ALL_CLUSTERS) yield target.Extend('p6-light', board=InfineonBoard.P6BOARD, app=InfineonApp.LIGHT) def AmebaTargets(): ameba_target = Target('ameba', AmebaBuilder) yield ameba_target.Extend('amebad-all-clusters',","in builder.AllVariants(): if cross_compile and 'chip-tool' in target.name and 'arm64' in target.name and","cc13x2x7_26x2x7App, cc13x2x7_26x2x7Builder from builders.cyw30739 import Cyw30739App, Cyw30739Board, Cyw30739Builder from builders.efr32 import Efr32App, Efr32Board,","a build target: Has a name identifier plus parameters on how to build","board=Efr32Board.BRD4187A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4304a', board=Efr32Board.BRD4304A).GlobBlacklist( 'only user requested') ] builder = VariantBuilder()","builders.efr32 import Efr32App, Efr32Board, Efr32Builder from builders.esp32 import Esp32App, Esp32Board, Esp32Builder from builders.host","__init__(self, targets: List[Target] = []): # note the clone in case the default","and '-no-interactive' not in target.name: # Interactive builds will not compile by default","HostBoard.FAKE]: yield test_target.Extend(board.BoardName() + '-tests', board=board, app=HostApp.TESTS) def Esp32Targets(): esp32_target = Target('esp32', Esp32Builder)","target.Extend('light-ota-se', app=K32WApp.LIGHT, release=True, disable_ble=True, se05x=True).GlobBlacklist(\"Only on demand build\") yield target.Extend('light-release-no-ota', app=K32WApp.LIGHT, tokenizer=True, disable_ota=True,","is satisfied for all items in the given list \"\"\" available = set([item.name","You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #","the specified build) \"\"\" def __init__(self, name, builder_class, **kwargs): self.name = name self.builder_class","List[str] = [], requires: List[str] = [], **buildargs): self.name = name self.validator =","builder = VariantBuilder() builder.AppendVariant(name=\"no-ble\", enable_ble=False) builder.AppendVariant(name=\"no-wifi\", enable_wifi=False) builder.AppendVariant(name=\"asan\", use_asan=True) target = Target('tizen-arm', TizenBuilder,","target.Extend('develop', profile=MbedProfile.DEVELOP).GlobBlacklist( 'Compile only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') yield target.Extend('debug', profile=MbedProfile.DEBUG).GlobBlacklist(","app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=False) yield target.Extend('pump', app=cc13x2x7_26x2x7App.PUMP) yield target.Extend('pump-controller', app=cc13x2x7_26x2x7App.PUMP_CONTROLLER) yield target.Extend('all-clusters', app=cc13x2x7_26x2x7App.ALL_CLUSTERS) yield target.Extend('shell',","= (HostBoard.NATIVE.PlatformName() == 'linux') and (HostBoard.NATIVE.BoardName() != HostBoard.ARM64.BoardName()) if cross_compile: targets.append(target.Extend('arm64', board=HostBoard.ARM64)) app_targets","Cyw30739Targets(), QorvoTargets(), TizenTargets(), Bl602Targets(), IMXTargets(), ] for generator in target_generators: for target in","[ target.Extend('CY8CPROTO_062_4343W', board=MbedBoard.CY8CPROTO_062_4343W), ] app_targets = [] for target in targets: app_targets.append(target.Extend('lock', app=MbedApp.LOCK))","[] def WhitelistVariantNameForGlob(self, name): \"\"\" Whitelist the specified variant to be allowed for","name = '-'.join([o.name for o in subgroup]) if name not in self.glob_whitelist: if","Efr32Targets(), NrfTargets(), AndroidTargets(), MbedTargets(), InfineonTargets(), AmebaTargets(), K32WTargets(), cc13x2x7_26x2x7Targets(), Cyw30739Targets(), QorvoTargets(), TizenTargets(), Bl602Targets(), IMXTargets(),","reason): clone = self.Clone() if clone.glob_blacklist_reason: clone.glob_blacklist_reason += \", \" clone.glob_blacklist_reason += reason","builder.enable_flashbundle(enable_flashbundle) return builder def GlobBlacklist(self, reason): clone = self.Clone() if clone.glob_blacklist_reason: clone.glob_blacklist_reason +=","arg is used self.targets = targets[:] self.variants = [] self.glob_whitelist = [] def","in a.conflicts): return True return False def AllRequirementsMet(items: List[BuildVariant]) -> bool: \"\"\" Check","v for v in self.variants if v.validator.Accept(target.name)] # Build every possible variant for","extra_tests=True), builder.WhitelistVariantNameForGlob('no-interactive-ipv6only') builder.WhitelistVariantNameForGlob('ipv6only') for target in app_targets: if ('-rpc-console' in target.name) or ('-python-bindings'","all items in the given list \"\"\" available = set([item.name for item in","\"-\" + suffix clone.create_kw_args.update(kargs) return clone def Create(self, runner, repository_path: str, output_prefix: str,","def Extend(self, suffix, **kargs): \"\"\"Creates a clone of the current object extending its","app=Bl602App.LIGHT) def IMXTargets(): target = Target('imx', IMXBuilder) yield target.Extend('chip-tool', app=IMXApp.CHIP_TOOL) yield target.Extend('lighting-app', app=IMXApp.LIGHT)","builds app_targets.append( target_native.Extend('rpc-console', app=HostApp.RPC_CONSOLE)) app_targets.append( target_native.Extend('tv-app', app=HostApp.TV_APP)) app_targets.append( target_native.Extend('tv-casting-app', app=HostApp.TV_CASTING_APP)) app_targets.append( target_native.Extend('nl-test-runner', app=HostApp.NL_TEST_RUNNER))","= Target('efr32', Efr32Builder) board_targets = [ efr_target.Extend('brd4161a', board=Efr32Board.BRD4161A), efr_target.Extend('brd4163a', board=Efr32Board.BRD4163A).GlobBlacklist( 'only user requested'),","app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-test', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TEST) yield target.Extend('androidstudio-arm-chip-tool', board=AndroidBoard.AndroidStudio_ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-arm64-chip-tool', board=AndroidBoard.AndroidStudio_ARM64, app=AndroidApp.CHIP_TOOL)","Accept(self, name: str): for s in self.substr: if s in name: return True","target.name) or ('-python-bindings' in target.name) or ('nl-test-runner' in target.name): # Single-variant builds yield","in name: return True return False class BuildVariant: def __init__(self, name: str, validator=AcceptAnyName(),","'Reduce default build variants') yield variant_target def HostTargets(): target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) target_native","return True return False class BuildVariant: def __init__(self, name: str, validator=AcceptAnyName(), conflicts: List[str]","in target.name): # Single-variant builds yield target else: builder.targets.append(target) for target in builder.AllVariants():","Esp32Builder from builders.host import HostApp, HostBoard, HostBuilder from builders.infineon import InfineonApp, InfineonBoard, InfineonBuilder","Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LOCK) yield Target('cyw30739-cyw930739m2evb_01-ota-requestor', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR).GlobBlacklist( \"Running out of XIP flash","InfineonTargets(): target = Target('infineon', InfineonBuilder) yield target.Extend('p6-lock', board=InfineonBoard.P6BOARD, app=InfineonApp.LOCK) yield target.Extend('p6-all-clusters', board=InfineonBoard.P6BOARD, app=InfineonApp.ALL_CLUSTERS)","usage: builder.AppendVariant(name=\"ipv6only\", enable_ipv4=False) \"\"\" self.variants.append(BuildVariant(**args)) def AllVariants(self): \"\"\" Yields a list of acceptable","in b.conflicts) or (b.name in a.conflicts): return True return False def AllRequirementsMet(items: List[BuildVariant])","# Interactive builds will not compile by default on arm cross compiles #","enable_ble=False) builder.AppendVariant(name=\"no-wifi\", enable_wifi=False) builder.AppendVariant(name=\"asan\", use_asan=True) target = Target('tizen-arm', TizenBuilder, board=TizenBoard.ARM) builder.targets.append(target.Extend('light', app=TizenApp.LIGHT)) for","Efr32Board, Efr32Builder from builders.esp32 import Esp32App, Esp32Board, Esp32Builder from builders.host import HostApp, HostBoard,","\"\"\" clone = self.Clone() clone.name += \"-\" + suffix clone.create_kw_args.update(kargs) return clone def","yield target.Extend('arm64-chip-test', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TEST) yield target.Extend('androidstudio-arm-chip-tool', board=AndroidBoard.AndroidStudio_ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-arm64-chip-tool', board=AndroidBoard.AndroidStudio_ARM64, app=AndroidApp.CHIP_TOOL) yield","a, b in combinations(items, 2): if (a.name in b.conflicts) or (b.name in a.conflicts):","[] # Don't cross compile some builds app_targets.append( target_native.Extend('rpc-console', app=HostApp.RPC_CONSOLE)) app_targets.append( target_native.Extend('tv-app', app=HostApp.TV_APP))","app_targets = [] for target in targets: app_targets.append(target.Extend('lock', app=MbedApp.LOCK)) app_targets.append(target.Extend('light', app=MbedApp.LIGHT)) app_targets.append(target.Extend( 'all-clusters',","app=IMXApp.OTA_PROVIDER, release=True) ALL = [] target_generators = [ HostTargets(), Esp32Targets(), Efr32Targets(), NrfTargets(), AndroidTargets(),","potential builds is exponential here. builder = VariantBuilder() builder.AppendVariant(name=\"no-ble\", enable_ble=False) builder.AppendVariant(name=\"no-wifi\", enable_wifi=False) builder.AppendVariant(name=\"asan\",","targets = [ target.Extend('nrf5340dk', board=NrfBoard.NRF5340DK), target.Extend('nrf52840dk', board=NrfBoard.NRF52840DK), ] # Enable nrf52840dongle for all-clusters","ameba_target.Extend('amebad-light', board=AmebaBoard.AMEBAD, app=AmebaApp.LIGHT) yield ameba_target.Extend('amebad-pigweed', board=AmebaBoard.AMEBAD, app=AmebaApp.PIGWEED) def K32WTargets(): target = Target('k32w', K32WBuilder)","# you may not use this file except in compliance with the License.","= None self.create_kw_args = kwargs def Clone(self): \"\"\"Creates a clone of self.\"\"\" clone","app=HostApp.PYTHON_BINDINGS)) builder = VariantBuilder() # Possible build variants. Note that number of potential","yield target.Extend('pump', app=cc13x2x7_26x2x7App.PUMP) yield target.Extend('pump-controller', app=cc13x2x7_26x2x7App.PUMP_CONTROLLER) yield target.Extend('all-clusters', app=cc13x2x7_26x2x7App.ALL_CLUSTERS) yield target.Extend('shell', app=cc13x2x7_26x2x7App.SHELL) def","Extend(self, suffix, **kargs): \"\"\"Creates a clone of the current object extending its build","do not want a 'build all' to select all variants, so variants are","not support libreadline-dev') else: yield target # Without extra build variants yield target_native.Extend('chip-cert',","under the License. import os from itertools import combinations from typing import List","given list \"\"\" available = set([item.name for item in items]) for item in","board=HostBoard.NATIVE) targets = [target_native] # x64 linux supports cross compile cross_compile = (HostBoard.NATIVE.PlatformName()","'chip-tool' in target.name and 'arm64' in target.name and '-no-interactive' not in target.name: #","board=AndroidBoard.ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tool', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x64-chip-tool', board=AndroidBoard.X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x86-chip-tool', board=AndroidBoard.X86,","the default arg is used self.targets = targets[:] self.variants = [] self.glob_whitelist =","whitelisted for globs name = '-'.join([o.name for o in subgroup]) if name not","enable_ipv4=False), builder.AppendVariant(name=\"no-ble\", enable_ble=False), builder.AppendVariant(name=\"no-wifi\", enable_wifi=False), builder.AppendVariant(name=\"tsan\", conflicts=['asan'], use_tsan=True), builder.AppendVariant(name=\"asan\", conflicts=['tsan'], use_asan=True), builder.AppendVariant(name=\"libfuzzer\", requires=[","app=NrfApp.PUMP) yield target.Extend('pump-controller', app=NrfApp.PUMP_CONTROLLER) rpc = target.Extend('light-rpc', app=NrfApp.LIGHT, enable_rpcs=True) if '-nrf5340dk-' in rpc.name:","board=NrfBoard.NRF52840DK), ] # Enable nrf52840dongle for all-clusters and lighting app only yield target.Extend('nrf52840dongle-all-clusters',","(HostBoard.NATIVE.PlatformName() == 'linux') and (HostBoard.NATIVE.BoardName() != HostBoard.ARM64.BoardName()) if cross_compile: targets.append(target.Extend('arm64', board=HostBoard.ARM64)) app_targets =","variants\") yield target_native.Extend('address-resolve-tool-platform-mdns', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True).GlobBlacklist(\"Reduce default build variants\") yield target_native.Extend('address-resolve-tool-platform-mdns-ipv6only', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True, enable_ipv4=False).GlobBlacklist(\"Reduce","app=Cyw30739App.LOCK) yield Target('cyw30739-cyw930739m2evb_01-ota-requestor', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR).GlobBlacklist( \"Running out of XIP flash space\") yield","app_targets.append(target.Extend( 'all-clusters', app=MbedApp.ALL_CLUSTERS)) app_targets.append(target.Extend('pigweed', app=MbedApp.PIGWEED)) app_targets.append(target.Extend('shell', app=MbedApp.SHELL)) for target in app_targets: yield target.Extend('release',","# limitations under the License. import os from itertools import combinations from typing","name identifier plus parameters on how to build it (what builder class to","conflict resolution between build variants and globbing whitelist targets. \"\"\" for target in","use_libfuzzer=True), builder.AppendVariant(name=\"clang\", use_clang=True), builder.AppendVariant(name=\"test\", extra_tests=True), builder.WhitelistVariantNameForGlob('no-interactive-ipv6only') builder.WhitelistVariantNameForGlob('ipv6only') for target in app_targets: if ('-rpc-console'","yield target else: builder.targets.append(target) for target in builder.AllVariants(): if cross_compile and 'chip-tool' in","License for the specific language governing permissions and # limitations under the License.","clone def Extend(self, suffix, **kargs): \"\"\"Creates a clone of the current object extending","s in name: return True return False class BuildVariant: def __init__(self, name: str,","default build variants\") yield target_native.Extend('address-resolve-tool-platform-mdns-ipv6only', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True, enable_ipv4=False).GlobBlacklist(\"Reduce default build variants\") test_target =","if requirement not in available: return False return True class VariantBuilder: \"\"\"Handles creating","Target('infineon', InfineonBuilder) yield target.Extend('p6-lock', board=InfineonBoard.P6BOARD, app=InfineonApp.LOCK) yield target.Extend('p6-all-clusters', board=InfineonBoard.P6BOARD, app=InfineonApp.ALL_CLUSTERS) yield target.Extend('p6-light', board=InfineonBoard.P6BOARD,","conflicts=['asan'], use_tsan=True), builder.AppendVariant(name=\"asan\", conflicts=['tsan'], use_asan=True), builder.AppendVariant(name=\"libfuzzer\", requires=[ \"clang\"], use_libfuzzer=True), builder.AppendVariant(name=\"clang\", use_clang=True), builder.AppendVariant(name=\"test\", extra_tests=True),","yield target.Extend('release', profile=MbedProfile.RELEASE) yield target.Extend('develop', profile=MbedProfile.DEVELOP).GlobBlacklist( 'Compile only for debugging purpose - '","user requested'), efr_target.Extend('brd4187a', board=Efr32Board.BRD4187A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4304a', board=Efr32Board.BRD4304A).GlobBlacklist( 'only user requested') ]","cross compile cross_compile = (HostBoard.NATIVE.PlatformName() == 'linux') and (HostBoard.NATIVE.BoardName() != HostBoard.ARM64.BoardName()) if cross_compile:","\"License\"); # you may not use this file except in compliance with the","few are whitelisted for globs name = '-'.join([o.name for o in subgroup]) if","obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless","target.GlobBlacklist('Arm crosscompile does not support libreadline-dev') else: yield target # Without extra build","builders.tizen import TizenApp, TizenBoard, TizenBuilder from builders.bl602 import Bl602App, Bl602Board, Bl602Builder from builders.imx","None @property def GlobBlacklistReason(self): return self.glob_blacklist_reason class AcceptAnyName: def Accept(self, name: str): return","skip variants that do not work for this target ok_variants = [ v","separate_event_loop=False), builder.AppendVariant(name=\"no-interactive\", validator=AcceptNameWithSubstrings( ['-chip-tool']), interactive_mode=False), builder.AppendVariant(name=\"ipv6only\", enable_ipv4=False), builder.AppendVariant(name=\"no-ble\", enable_ble=False), builder.AppendVariant(name=\"no-wifi\", enable_wifi=False), builder.AppendVariant(name=\"tsan\", conflicts=['asan'],","a clone of the current object extending its build parameters. Arguments: suffix: appended","builders.ameba import AmebaApp, AmebaBoard, AmebaBuilder from builders.android import AndroidApp, AndroidBoard, AndroidBuilder from builders.cc13x2x7_26x2x7","builder class to use and what arguments are required to produce the specified","the specific language governing permissions and # limitations under the License. import os","variants and globbing whitelist targets. \"\"\" for target in self.targets: yield target #","variant to accepted variants. Arguments are construction variants to BuildVariant. Example usage: builder.AppendVariant(name=\"ipv6only\",","in targets: yield target.Extend('all-clusters', app=NrfApp.ALL_CLUSTERS) yield target.Extend('lock', app=NrfApp.LOCK) yield target.Extend('light', app=NrfApp.LIGHT) yield target.Extend('shell',","crosscompile does not support libreadline-dev') else: yield target # Without extra build variants","yield Target('cyw30739-cyw930739m2evb_01-light', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LIGHT) yield Target('cyw30739-cyw930739m2evb_01-lock', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LOCK) yield Target('cyw30739-cyw930739m2evb_01-ota-requestor', Cyw30739Builder,","http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,","in writing, software # distributed under the License is distributed on an \"AS","True class VariantBuilder: \"\"\"Handles creating multiple build variants based on a starting target.","InfineonBuilder from builders.k32w import K32WApp, K32WBuilder from builders.mbed import MbedApp, MbedBoard, MbedBuilder, MbedProfile","**self.create_kw_args) builder.target = self builder.identifier = self.name builder.output_dir = os.path.join(output_prefix, self.name) builder.enable_flashbundle(enable_flashbundle) return","HasConflicts(subgroup): continue if not AllRequirementsMet(subgroup): continue # Target ready to be created -","'chip-tool-darwin', app=HostApp.CHIP_TOOL_DARWIN)) app_targets.append(target.Extend('chip-tool', app=HostApp.CHIP_TOOL)) app_targets.append(target.Extend('thermostat', app=HostApp.THERMOSTAT)) app_targets.append(target.Extend('minmdns', app=HostApp.MIN_MDNS)) app_targets.append(target.Extend('light', app=HostApp.LIGHT)) app_targets.append(target.Extend('lock', app=HostApp.LOCK)) app_targets.append(target.Extend('shell',","yield target.Extend('androidstudio-arm64-chip-tool', board=AndroidBoard.AndroidStudio_ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x86-chip-tool', board=AndroidBoard.AndroidStudio_X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x64-chip-tool', board=AndroidBoard.AndroidStudio_X64, app=AndroidApp.CHIP_TOOL) yield","Cyw30739App, Cyw30739Board, Cyw30739Builder from builders.efr32 import Efr32App, Efr32Board, Efr32Builder from builders.esp32 import Esp32App,","arguments needed to produce the new build variant \"\"\" clone = self.Clone() clone.name","yield target.Extend('develop', profile=MbedProfile.DEVELOP).GlobBlacklist( 'Compile only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') yield target.Extend('debug',","AmebaBoard, AmebaBuilder from builders.android import AndroidApp, AndroidBoard, AndroidBuilder from builders.cc13x2x7_26x2x7 import cc13x2x7_26x2x7App, cc13x2x7_26x2x7Builder","efr_target.Extend('brd4304a', board=Efr32Board.BRD4304A).GlobBlacklist( 'only user requested') ] builder = VariantBuilder() for board_target in board_targets:","False def AllRequirementsMet(items: List[BuildVariant]) -> bool: \"\"\" Check that item.requires is satisfied for","target.Extend('release', profile=MbedProfile.RELEASE) yield target.Extend('develop', profile=MbedProfile.DEVELOP).GlobBlacklist( 'Compile only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html')","yield esp32_target.Extend('m5stack-all-clusters-rpc', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True) yield esp32_target.Extend('m5stack-all-clusters-rpc-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True, enable_ipv4=False) yield esp32_target.Extend('c3devkit-all-clusters',","Target('bl602', Bl602Builder) yield target.Extend('light', board=Bl602Board.BL602BOARD, app=Bl602App.LIGHT) def IMXTargets(): target = Target('imx', IMXBuilder) yield","and 'arm64' in target.name and '-no-interactive' not in target.name: # Interactive builds will","builder.AppendVariant(name=\"test\", extra_tests=True), builder.WhitelistVariantNameForGlob('no-interactive-ipv6only') builder.WhitelistVariantNameForGlob('ipv6only') for target in app_targets: if ('-rpc-console' in target.name) or","use_clang=True), builder.AppendVariant(name=\"test\", extra_tests=True), builder.WhitelistVariantNameForGlob('no-interactive-ipv6only') builder.WhitelistVariantNameForGlob('ipv6only') for target in app_targets: if ('-rpc-console' in target.name)","yield target.Extend('ota-provider-app-release', app=IMXApp.OTA_PROVIDER, release=True) ALL = [] target_generators = [ HostTargets(), Esp32Targets(), Efr32Targets(),","MbedApp, MbedBoard, MbedBuilder, MbedProfile from builders.nrf import NrfApp, NrfBoard, NrfConnectBuilder from builders.qpg import","builder.AppendVariant(name=\"rpc\", validator=AcceptNameWithSubstrings( ['-light', '-lock']), enable_rpcs=True) builder.AppendVariant(name=\"with-ota-requestor\", enable_ota_requestor=True) builder.WhitelistVariantNameForGlob('rpc') for target in builder.AllVariants(): yield","def K32WTargets(): target = Target('k32w', K32WBuilder) yield target.Extend('light-ota-se', app=K32WApp.LIGHT, release=True, disable_ble=True, se05x=True).GlobBlacklist(\"Only on","target in builder.AllVariants(): yield target def Bl602Targets(): target = Target('bl602', Bl602Builder) yield target.Extend('light',","self.create_kw_args = kwargs def Clone(self): \"\"\"Creates a clone of self.\"\"\" clone = Target(self.name,","yield target.Extend('all-clusters-app', app=IMXApp.ALL_CLUSTERS) yield target.Extend('ota-provider-app', app=IMXApp.OTA_PROVIDER) yield target.Extend('chip-tool-release', app=IMXApp.CHIP_TOOL, release=True) yield target.Extend('lighting-app-release', app=IMXApp.LIGHT,","for target in builder.AllVariants(): yield target def NrfTargets(): target = Target('nrf', NrfConnectBuilder) yield","app=NrfApp.UNIT_TESTS) targets = [ target.Extend('nrf5340dk', board=NrfBoard.NRF5340DK), target.Extend('nrf52840dk', board=NrfBoard.NRF52840DK), ] # Enable nrf52840dongle for","builders.esp32 import Esp32App, Esp32Board, Esp32Builder from builders.host import HostApp, HostBoard, HostBuilder from builders.infineon","in range(1, len(ok_variants) + 1): for subgroup in combinations(ok_variants, variant_count): if HasConflicts(subgroup): continue","app=AndroidApp.CHIP_TVServer) yield target.Extend('arm64-chip-tv-casting-app', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TV_CASTING_APP) yield target.Extend('arm-chip-tv-casting-app', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TV_CASTING_APP) def MbedTargets(): target =","the current object extending its build parameters. Arguments: suffix: appended with a \"-\"","app=Esp32App.ALL_CLUSTERS) yield devkitc.Extend('all-clusters-ipv6only', app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield devkitc.Extend('shell', app=Esp32App.SHELL) yield devkitc.Extend('light', app=Esp32App.LIGHT) yield devkitc.Extend('lock',","yield target def NrfTargets(): target = Target('nrf', NrfConnectBuilder) yield target.Extend('native-posix-64-tests', board=NrfBoard.NATIVE_POSIX_64, app=NrfApp.UNIT_TESTS) targets","yield target.Extend('arm64-chip-tvserver', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm-chip-tvserver', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TVServer) yield target.Extend('x86-chip-tvserver', board=AndroidBoard.X86, app=AndroidApp.CHIP_TVServer) yield","yield target.Extend('chip-tool', app=IMXApp.CHIP_TOOL) yield target.Extend('lighting-app', app=IMXApp.LIGHT) yield target.Extend('thermostat', app=IMXApp.THERMOSTAT) yield target.Extend('all-clusters-app', app=IMXApp.ALL_CLUSTERS) yield","ALL.append(target) # Simple targets added one by one ALL.append(Target('telink-tlsr9518adk80d-light', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.LIGHT)) ALL.append(Target('telink-tlsr9518adk80d-light-switch',","user requested'), efr_target.Extend('brd4164a', board=Efr32Board.BRD4164A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4166a', board=Efr32Board.BRD4166A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4170a',","' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') yield target.Extend('debug', profile=MbedProfile.DEBUG).GlobBlacklist( 'Compile only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html')","glob-blacklisted. \"\"\" self.glob_whitelist.append(name) def AppendVariant(self, **args): \"\"\" Add another variant to accepted variants.","clone def Create(self, runner, repository_path: str, output_prefix: str, enable_flashbundle: bool): builder = self.builder_class(","len(ok_variants) + 1): for subgroup in combinations(ok_variants, variant_count): if HasConflicts(subgroup): continue if not","app=MbedApp.LOCK)) app_targets.append(target.Extend('light', app=MbedApp.LIGHT)) app_targets.append(target.Extend( 'all-clusters', app=MbedApp.ALL_CLUSTERS)) app_targets.append(target.Extend('pigweed', app=MbedApp.PIGWEED)) app_targets.append(target.Extend('shell', app=MbedApp.SHELL)) for target in","list of acceptable variants for the given targets. Handles conflict resolution between build","typing import List from builders.ameba import AmebaApp, AmebaBoard, AmebaBuilder from builders.android import AndroidApp,","2.0 (the \"License\"); # you may not use this file except in compliance","target.Extend('lock-mtd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=False) yield target.Extend('pump', app=cc13x2x7_26x2x7App.PUMP) yield target.Extend('pump-controller', app=cc13x2x7_26x2x7App.PUMP_CONTROLLER) yield target.Extend('all-clusters', app=cc13x2x7_26x2x7App.ALL_CLUSTERS) yield","user requested') ] builder = VariantBuilder() for board_target in board_targets: builder.targets.append(board_target.Extend( 'window-covering', app=Efr32App.WINDOW_COVERING))","target.Extend('ota-provider-app', app=IMXApp.OTA_PROVIDER) yield target.Extend('chip-tool-release', app=IMXApp.CHIP_TOOL, release=True) yield target.Extend('lighting-app-release', app=IMXApp.LIGHT, release=True) yield target.Extend('thermostat-release', app=IMXApp.THERMOSTAT,","WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the","build variants\") test_target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) for board in [HostBoard.NATIVE, HostBoard.FAKE]: yield test_target.Extend(board.BoardName()","clone.create_kw_args.update(kargs) return clone def Create(self, runner, repository_path: str, output_prefix: str, enable_flashbundle: bool): builder","target.Extend('shell', board=QpgBoard.QPG6105, app=QpgApp.SHELL) yield target.Extend('persistent-storage', board=QpgBoard.QPG6105, app=QpgApp.PERSISTENT_STORAGE) def TizenTargets(): # Possible build variants.","# # Unless required by applicable law or agreed to in writing, software","MbedBuilder, MbedProfile from builders.nrf import NrfApp, NrfBoard, NrfConnectBuilder from builders.qpg import QpgApp, QpgBoard,","app=QpgApp.LIGHT) yield target.Extend('shell', board=QpgBoard.QPG6105, app=QpgApp.SHELL) yield target.Extend('persistent-storage', board=QpgBoard.QPG6105, app=QpgApp.PERSISTENT_STORAGE) def TizenTargets(): # Possible","repository_path, runner=runner, **self.create_kw_args) builder.target = self builder.identifier = self.name builder.output_dir = os.path.join(output_prefix, self.name)","express or implied. # See the License for the specific language governing permissions","import Bl602App, Bl602Board, Bl602Builder from builders.imx import IMXApp, IMXBuilder class Target: \"\"\"Represents a","requested'), efr_target.Extend('brd4186a', board=Efr32Board.BRD4186A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4187a', board=Efr32Board.BRD4187A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4304a', board=Efr32Board.BRD4304A).GlobBlacklist(","board=QpgBoard.QPG6105, app=QpgApp.LOCK) yield target.Extend('light', board=QpgBoard.QPG6105, app=QpgApp.LIGHT) yield target.Extend('shell', board=QpgBoard.QPG6105, app=QpgApp.SHELL) yield target.Extend('persistent-storage', board=QpgBoard.QPG6105,","yield rpc def AndroidTargets(): target = Target('android', AndroidBuilder) yield target.Extend('arm-chip-tool', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TOOL) yield","app_targets.append(target.Extend('minmdns', app=HostApp.MIN_MDNS)) app_targets.append(target.Extend('light', app=HostApp.LIGHT)) app_targets.append(target.Extend('lock', app=HostApp.LOCK)) app_targets.append(target.Extend('shell', app=HostApp.SHELL)) app_targets.append(target.Extend( 'ota-provider', app=HostApp.OTA_PROVIDER, enable_ble=False)) app_targets.append(target.Extend(","(what builder class to use and what arguments are required to produce the","either express or implied. # See the License for the specific language governing","def Cyw30739Targets(): yield Target('cyw30739-cyw930739m2evb_01-light', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LIGHT) yield Target('cyw30739-cyw930739m2evb_01-lock', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LOCK) yield","appended with a \"-\" as separator to the clone name **kargs: arguments needed","if ('-rpc-console' in target.name) or ('-python-bindings' in target.name) or ('nl-test-runner' in target.name): #","self.builder_class = builder_class self.glob_blacklist_reason = None self.create_kw_args = kwargs def Clone(self): \"\"\"Creates a","class BuildVariant: def __init__(self, name: str, validator=AcceptAnyName(), conflicts: List[str] = [], requires: List[str]","yield devkitc.Extend('light', app=Esp32App.LIGHT) yield devkitc.Extend('lock', app=Esp32App.LOCK) yield devkitc.Extend('bridge', app=Esp32App.BRIDGE) yield devkitc.Extend('temperature-measurement', app=Esp32App.TEMPERATURE_MEASUREMENT) yield","builders.android import AndroidApp, AndroidBoard, AndroidBuilder from builders.cc13x2x7_26x2x7 import cc13x2x7_26x2x7App, cc13x2x7_26x2x7Builder from builders.cyw30739 import","return False return True class VariantBuilder: \"\"\"Handles creating multiple build variants based on","\"Running out of XIP flash space\") yield Target('cyw30739-cyw930739m2evb_01-ota-requestor-no-progress-logging', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR, progress_logging=False) def","Target(HostBoard.NATIVE.PlatformName(), HostBuilder) for board in [HostBoard.NATIVE, HostBoard.FAKE]: yield test_target.Extend(board.BoardName() + '-tests', board=board, app=HostApp.TESTS)","and (HostBoard.NATIVE.BoardName() != HostBoard.ARM64.BoardName()) if cross_compile: targets.append(target.Extend('arm64', board=HostBoard.ARM64)) app_targets = [] # Don't","for target in self.targets: yield target # skip variants that do not work","if v.validator.Accept(target.name)] # Build every possible variant for variant_count in range(1, len(ok_variants) +","if not variant_target.IsGlobBlacklisted: variant_target = variant_target.GlobBlacklist( 'Reduce default build variants') yield variant_target def","for target in generator: ALL.append(target) # Simple targets added one by one ALL.append(Target('telink-tlsr9518adk80d-light',","board=AmebaBoard.AMEBAD, app=AmebaApp.LIGHT) yield ameba_target.Extend('amebad-pigweed', board=AmebaBoard.AMEBAD, app=AmebaApp.PIGWEED) def K32WTargets(): target = Target('k32w', K32WBuilder) yield","the License. # You may obtain a copy of the License at #","variant to be allowed for globbing. By default we do not want a","app=AndroidApp.CHIP_TVServer) yield target.Extend('x86-chip-tvserver', board=AndroidBoard.X86, app=AndroidApp.CHIP_TVServer) yield target.Extend('x64-chip-tvserver', board=AndroidBoard.X64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm64-chip-tv-casting-app', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TV_CASTING_APP)","build variants yield target_native.Extend('chip-cert', app=HostApp.CERT_TOOL) yield target_native.Extend('address-resolve-tool', app=HostApp.ADDRESS_RESOLVE) yield target_native.Extend('address-resolve-tool-clang', app=HostApp.ADDRESS_RESOLVE, use_clang=True).GlobBlacklist(\"Reduce default","target.Extend('all-clusters', app=cc13x2x7_26x2x7App.ALL_CLUSTERS) yield target.Extend('shell', app=cc13x2x7_26x2x7App.SHELL) def Cyw30739Targets(): yield Target('cyw30739-cyw930739m2evb_01-light', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LIGHT) yield","app_targets.append(target.Extend('shell', app=MbedApp.SHELL)) for target in app_targets: yield target.Extend('release', profile=MbedProfile.RELEASE) yield target.Extend('develop', profile=MbedProfile.DEVELOP).GlobBlacklist( 'Compile","= Target('bl602', Bl602Builder) yield target.Extend('light', board=Bl602Board.BL602BOARD, app=Bl602App.LIGHT) def IMXTargets(): target = Target('imx', IMXBuilder)","reason return clone @property def IsGlobBlacklisted(self): return self.glob_blacklist_reason is not None @property def","lighting app only yield target.Extend('nrf52840dongle-all-clusters', board=NrfBoard.NRF52840DONGLE, app=NrfApp.ALL_CLUSTERS) yield target.Extend('nrf52840dongle-light', board=NrfBoard.NRF52840DONGLE, app=NrfApp.LIGHT) for target","ameba_target.Extend('amebad-all-clusters', board=AmebaBoard.AMEBAD, app=AmebaApp.ALL_CLUSTERS) yield ameba_target.Extend('amebad-light', board=AmebaBoard.AMEBAD, app=AmebaApp.LIGHT) yield ameba_target.Extend('amebad-pigweed', board=AmebaBoard.AMEBAD, app=AmebaApp.PIGWEED) def K32WTargets():","app only yield target.Extend('nrf52840dongle-all-clusters', board=NrfBoard.NRF52840DONGLE, app=NrfApp.ALL_CLUSTERS) yield target.Extend('nrf52840dongle-light', board=NrfBoard.NRF52840DONGLE, app=NrfApp.LIGHT) for target in","substr def Accept(self, name: str): for s in self.substr: if s in name:","IMXBuilder) yield target.Extend('chip-tool', app=IMXApp.CHIP_TOOL) yield target.Extend('lighting-app', app=IMXApp.LIGHT) yield target.Extend('thermostat', app=IMXApp.THERMOSTAT) yield target.Extend('all-clusters-app', app=IMXApp.ALL_CLUSTERS)","# # Licensed under the Apache License, Version 2.0 (the \"License\"); # you","combinations from typing import List from builders.ameba import AmebaApp, AmebaBoard, AmebaBuilder from builders.android","target.Extend('nrf52840dongle-all-clusters', board=NrfBoard.NRF52840DONGLE, app=NrfApp.ALL_CLUSTERS) yield target.Extend('nrf52840dongle-light', board=NrfBoard.NRF52840DONGLE, app=NrfApp.LIGHT) for target in targets: yield target.Extend('all-clusters',","= [] # Don't cross compile some builds app_targets.append( target_native.Extend('rpc-console', app=HostApp.RPC_CONSOLE)) app_targets.append( target_native.Extend('tv-app',","board=NrfBoard.NRF5340DK), target.Extend('nrf52840dk', board=NrfBoard.NRF52840DK), ] # Enable nrf52840dongle for all-clusters and lighting app only","= [ target.Extend('nrf5340dk', board=NrfBoard.NRF5340DK), target.Extend('nrf52840dk', board=NrfBoard.NRF52840DK), ] # Enable nrf52840dongle for all-clusters and","name: str): return True class AcceptNameWithSubstrings: def __init__(self, substr: List[str]): self.substr = substr","app_targets.append( target_native.Extend('nl-test-runner', app=HostApp.NL_TEST_RUNNER)) for target in targets: app_targets.append(target.Extend( 'all-clusters', app=HostApp.ALL_CLUSTERS)) if (HostBoard.NATIVE.PlatformName() ==","we do not want a 'build all' to select all variants, so variants","used self.targets = targets[:] self.variants = [] self.glob_whitelist = [] def WhitelistVariantNameForGlob(self, name):","yield target.Extend('arm-chip-tool', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tool', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x64-chip-tool', board=AndroidBoard.X64, app=AndroidApp.CHIP_TOOL) yield","app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x64-chip-tool', board=AndroidBoard.AndroidStudio_X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tvserver', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm-chip-tvserver', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TVServer)","# Possible build variants. # NOTE: The number of potential builds is exponential","for requirement in item.requires: if requirement not in available: return False return True","yield target.Extend('nrf52840dongle-light', board=NrfBoard.NRF52840DONGLE, app=NrfApp.LIGHT) for target in targets: yield target.Extend('all-clusters', app=NrfApp.ALL_CLUSTERS) yield target.Extend('lock',","Bl602Builder from builders.imx import IMXApp, IMXBuilder class Target: \"\"\"Represents a build target: Has","from builders.host import HostApp, HostBoard, HostBuilder from builders.infineon import InfineonApp, InfineonBoard, InfineonBuilder from","items: for requirement in item.requires: if requirement not in available: return False return","WhitelistVariantNameForGlob(self, name): \"\"\" Whitelist the specified variant to be allowed for globbing. By","work for this target ok_variants = [ v for v in self.variants if","targets: yield target.Extend('all-clusters', app=NrfApp.ALL_CLUSTERS) yield target.Extend('lock', app=NrfApp.LOCK) yield target.Extend('light', app=NrfApp.LIGHT) yield target.Extend('shell', app=NrfApp.SHELL)","for target in targets: app_targets.append(target.Extend( 'all-clusters', app=HostApp.ALL_CLUSTERS)) if (HostBoard.NATIVE.PlatformName() == 'darwin'): app_targets.append(target.Extend( 'chip-tool-darwin',","Copyright (c) 2021 Project CHIP Authors # # Licensed under the Apache License,","'-'.join([o.name for o in subgroup]) if name not in self.glob_whitelist: if not variant_target.IsGlobBlacklisted:","Create(self, runner, repository_path: str, output_prefix: str, enable_flashbundle: bool): builder = self.builder_class( repository_path, runner=runner,","self.glob_whitelist.append(name) def AppendVariant(self, **args): \"\"\" Add another variant to accepted variants. Arguments are","Esp32Builder) yield esp32_target.Extend('m5stack-all-clusters', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS) yield esp32_target.Extend('m5stack-all-clusters-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield esp32_target.Extend('m5stack-all-clusters-rpc', board=Esp32Board.M5Stack,","XIP flash space\") yield Target('cyw30739-cyw930739m2evb_01-ota-requestor-no-progress-logging', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR, progress_logging=False) def QorvoTargets(): target =","'switch', app=Efr32App.SWITCH)) builder.targets.append(board_target.Extend( 'unit-test', app=Efr32App.UNIT_TEST)) builder.targets.append( board_target.Extend('light', app=Efr32App.LIGHT)) builder.targets.append(board_target.Extend('lock', app=Efr32App.LOCK)) # Possible build","not part of the default sysroot yield target.GlobBlacklist('Arm crosscompile does not support libreadline-dev')","clone = self.Clone() if clone.glob_blacklist_reason: clone.glob_blacklist_reason += \", \" clone.glob_blacklist_reason += reason else:","yield target.Extend('pump', app=NrfApp.PUMP) yield target.Extend('pump-controller', app=NrfApp.PUMP_CONTROLLER) rpc = target.Extend('light-rpc', app=NrfApp.LIGHT, enable_rpcs=True) if '-nrf5340dk-'","builder.AppendVariant(name=\"libfuzzer\", requires=[ \"clang\"], use_libfuzzer=True), builder.AppendVariant(name=\"clang\", use_clang=True), builder.AppendVariant(name=\"test\", extra_tests=True), builder.WhitelistVariantNameForGlob('no-interactive-ipv6only') builder.WhitelistVariantNameForGlob('ipv6only') for target in","def WhitelistVariantNameForGlob(self, name): \"\"\" Whitelist the specified variant to be allowed for globbing.","app_targets.append(target.Extend( 'all-clusters', app=HostApp.ALL_CLUSTERS)) if (HostBoard.NATIVE.PlatformName() == 'darwin'): app_targets.append(target.Extend( 'chip-tool-darwin', app=HostApp.CHIP_TOOL_DARWIN)) app_targets.append(target.Extend('chip-tool', app=HostApp.CHIP_TOOL)) app_targets.append(target.Extend('thermostat',","clone @property def IsGlobBlacklisted(self): return self.glob_blacklist_reason is not None @property def GlobBlacklistReason(self): return","- no conflicts variant_target = target.Clone() for option in subgroup: variant_target = variant_target.Extend(","def GlobBlacklist(self, reason): clone = self.Clone() if clone.glob_blacklist_reason: clone.glob_blacklist_reason += \", \" clone.glob_blacklist_reason","app=IMXApp.THERMOSTAT) yield target.Extend('all-clusters-app', app=IMXApp.ALL_CLUSTERS) yield target.Extend('ota-provider-app', app=IMXApp.OTA_PROVIDER) yield target.Extend('chip-tool-release', app=IMXApp.CHIP_TOOL, release=True) yield target.Extend('lighting-app-release',","yield Target('cyw30739-cyw930739m2evb_01-ota-requestor-no-progress-logging', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR, progress_logging=False) def QorvoTargets(): target = Target('qpg', QpgBuilder) yield","app=HostApp.SHELL)) app_targets.append(target.Extend( 'ota-provider', app=HostApp.OTA_PROVIDER, enable_ble=False)) app_targets.append(target.Extend( 'ota-requestor', app=HostApp.OTA_REQUESTOR, enable_ble=False)) app_targets.append(target.Extend('python-bindings', app=HostApp.PYTHON_BINDINGS)) builder =","at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed","\"clang\"], use_libfuzzer=True), builder.AppendVariant(name=\"clang\", use_clang=True), builder.AppendVariant(name=\"test\", extra_tests=True), builder.WhitelistVariantNameForGlob('no-interactive-ipv6only') builder.WhitelistVariantNameForGlob('ipv6only') for target in app_targets: if","board=QpgBoard.QPG6105, app=QpgApp.PERSISTENT_STORAGE) def TizenTargets(): # Possible build variants. # NOTE: The number of","builder.targets.append(board_target.Extend( 'switch', app=Efr32App.SWITCH)) builder.targets.append(board_target.Extend( 'unit-test', app=Efr32App.UNIT_TEST)) builder.targets.append( board_target.Extend('light', app=Efr32App.LIGHT)) builder.targets.append(board_target.Extend('lock', app=Efr32App.LOCK)) # Possible","use_platform_mdns=True).GlobBlacklist(\"Reduce default build variants\") yield target_native.Extend('address-resolve-tool-platform-mdns-ipv6only', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True, enable_ipv4=False).GlobBlacklist(\"Reduce default build variants\") test_target","board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TV_CASTING_APP) yield target.Extend('arm-chip-tv-casting-app', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TV_CASTING_APP) def MbedTargets(): target = Target('mbed', MbedBuilder) targets","+ suffix clone.create_kw_args.update(kargs) return clone def Create(self, runner, repository_path: str, output_prefix: str, enable_flashbundle:","self.requires = requires def HasConflicts(items: List[BuildVariant]) -> bool: for a, b in combinations(items,","esp32_target.Extend('m5stack-all-clusters-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield esp32_target.Extend('m5stack-all-clusters-rpc', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True) yield esp32_target.Extend('m5stack-all-clusters-rpc-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS,","= [target_native] # x64 linux supports cross compile cross_compile = (HostBoard.NATIVE.PlatformName() == 'linux')","import os from itertools import combinations from typing import List from builders.ameba import","# Without extra build variants yield target_native.Extend('chip-cert', app=HostApp.CERT_TOOL) yield target_native.Extend('address-resolve-tool', app=HostApp.ADDRESS_RESOLVE) yield target_native.Extend('address-resolve-tool-clang',","target in targets: yield target.Extend('all-clusters', app=NrfApp.ALL_CLUSTERS) yield target.Extend('lock', app=NrfApp.LOCK) yield target.Extend('light', app=NrfApp.LIGHT) yield","low_power=True, release=True).GlobBlacklist(\"Only on demand build\") def cc13x2x7_26x2x7Targets(): target = Target('cc13x2x7_26x2x7', cc13x2x7_26x2x7Builder) yield target.Extend('lock-ftd',","**args): \"\"\" Add another variant to accepted variants. Arguments are construction variants to","= [], **buildargs): self.name = name self.validator = validator self.conflicts = conflicts self.buildargs","# Don't cross compile some builds app_targets.append( target_native.Extend('rpc-console', app=HostApp.RPC_CONSOLE)) app_targets.append( target_native.Extend('tv-app', app=HostApp.TV_APP)) app_targets.append(","the clone name **kargs: arguments needed to produce the new build variant \"\"\"","AmebaTargets(): ameba_target = Target('ameba', AmebaBuilder) yield ameba_target.Extend('amebad-all-clusters', board=AmebaBoard.AMEBAD, app=AmebaApp.ALL_CLUSTERS) yield ameba_target.Extend('amebad-light', board=AmebaBoard.AMEBAD, app=AmebaApp.LIGHT)","variants. Note that number of potential # builds is exponential here builder.AppendVariant(name=\"rpc\", validator=AcceptNameWithSubstrings(","variants, so variants are generally glob-blacklisted. \"\"\" self.glob_whitelist.append(name) def AppendVariant(self, **args): \"\"\" Add","release=True) yield target.Extend('thermostat-release', app=IMXApp.THERMOSTAT, release=True) yield target.Extend('all-clusters-app-release', app=IMXApp.ALL_CLUSTERS, release=True) yield target.Extend('ota-provider-app-release', app=IMXApp.OTA_PROVIDER, release=True)","import AmebaApp, AmebaBoard, AmebaBuilder from builders.android import AndroidApp, AndroidBoard, AndroidBuilder from builders.cc13x2x7_26x2x7 import","VariantBuilder() for board_target in board_targets: builder.targets.append(board_target.Extend( 'window-covering', app=Efr32App.WINDOW_COVERING)) builder.targets.append(board_target.Extend( 'switch', app=Efr32App.SWITCH)) builder.targets.append(board_target.Extend( 'unit-test',","build variants') yield variant_target def HostTargets(): target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) target_native = target.Extend(HostBoard.NATIVE.BoardName(),","def Esp32Targets(): esp32_target = Target('esp32', Esp32Builder) yield esp32_target.Extend('m5stack-all-clusters', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS) yield esp32_target.Extend('m5stack-all-clusters-ipv6only', board=Esp32Board.M5Stack,","conflicts=['tsan'], use_asan=True), builder.AppendVariant(name=\"libfuzzer\", requires=[ \"clang\"], use_libfuzzer=True), builder.AppendVariant(name=\"clang\", use_clang=True), builder.AppendVariant(name=\"test\", extra_tests=True), builder.WhitelistVariantNameForGlob('no-interactive-ipv6only') builder.WhitelistVariantNameForGlob('ipv6only') for","= [ HostTargets(), Esp32Targets(), Efr32Targets(), NrfTargets(), AndroidTargets(), MbedTargets(), InfineonTargets(), AmebaTargets(), K32WTargets(), cc13x2x7_26x2x7Targets(), Cyw30739Targets(),","except in compliance with the License. # You may obtain a copy of","variants are generally glob-blacklisted. \"\"\" self.glob_whitelist.append(name) def AppendVariant(self, **args): \"\"\" Add another variant","not AllRequirementsMet(subgroup): continue # Target ready to be created - no conflicts variant_target","target_generators: for target in generator: ALL.append(target) # Simple targets added one by one","('-python-bindings' in target.name) or ('nl-test-runner' in target.name): # Single-variant builds yield target else:","def Clone(self): \"\"\"Creates a clone of self.\"\"\" clone = Target(self.name, self.builder_class, **self.create_kw_args.copy()) clone.glob_blacklist_reason","yield devkitc.Extend('all-clusters', app=Esp32App.ALL_CLUSTERS) yield devkitc.Extend('all-clusters-ipv6only', app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield devkitc.Extend('shell', app=Esp32App.SHELL) yield devkitc.Extend('light', app=Esp32App.LIGHT)","target.Extend('arm-chip-tool', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tool', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x64-chip-tool', board=AndroidBoard.X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x86-chip-tool',","may not use this file except in compliance with the License. # You","License is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS","variant_count in range(1, len(ok_variants) + 1): for subgroup in combinations(ok_variants, variant_count): if HasConflicts(subgroup):","in [HostBoard.NATIVE, HostBoard.FAKE]: yield test_target.Extend(board.BoardName() + '-tests', board=board, app=HostApp.TESTS) def Esp32Targets(): esp32_target =","\" clone.glob_blacklist_reason += reason else: clone.glob_blacklist_reason = reason return clone @property def IsGlobBlacklisted(self):","K32WTargets(): target = Target('k32w', K32WBuilder) yield target.Extend('light-ota-se', app=K32WApp.LIGHT, release=True, disable_ble=True, se05x=True).GlobBlacklist(\"Only on demand","\"\"\" Whitelist the specified variant to be allowed for globbing. By default we","output_prefix: str, enable_flashbundle: bool): builder = self.builder_class( repository_path, runner=runner, **self.create_kw_args) builder.target = self","app=NrfApp.PUMP_CONTROLLER) rpc = target.Extend('light-rpc', app=NrfApp.LIGHT, enable_rpcs=True) if '-nrf5340dk-' in rpc.name: rpc = rpc.GlobBlacklist(","target_native.Extend('nl-test-runner', app=HostApp.NL_TEST_RUNNER)) for target in targets: app_targets.append(target.Extend( 'all-clusters', app=HostApp.ALL_CLUSTERS)) if (HostBoard.NATIVE.PlatformName() == 'darwin'):","builder.AppendVariant(name=\"same-event-loop\", validator=AcceptNameWithSubstrings( ['-chip-tool', '-chip-tool-darwin']), separate_event_loop=False), builder.AppendVariant(name=\"no-interactive\", validator=AcceptNameWithSubstrings( ['-chip-tool']), interactive_mode=False), builder.AppendVariant(name=\"ipv6only\", enable_ipv4=False), builder.AppendVariant(name=\"no-ble\", enable_ble=False),","(a.name in b.conflicts) or (b.name in a.conflicts): return True return False def AllRequirementsMet(items:","= Target('esp32', Esp32Builder) yield esp32_target.Extend('m5stack-all-clusters', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS) yield esp32_target.Extend('m5stack-all-clusters-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield","not None @property def GlobBlacklistReason(self): return self.glob_blacklist_reason class AcceptAnyName: def Accept(self, name: str):","pw_build args not forwarded to proto compiler. ' 'https://pigweed-review.googlesource.com/c/pigweed/pigweed/+/66760') yield rpc def AndroidTargets():","Target('efr32', Efr32Builder) board_targets = [ efr_target.Extend('brd4161a', board=Efr32Board.BRD4161A), efr_target.Extend('brd4163a', board=Efr32Board.BRD4163A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4164a',","clone.glob_blacklist_reason += \", \" clone.glob_blacklist_reason += reason else: clone.glob_blacklist_reason = reason return clone","AndroidBuilder) yield target.Extend('arm-chip-tool', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tool', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x64-chip-tool', board=AndroidBoard.X64, app=AndroidApp.CHIP_TOOL)","language governing permissions and # limitations under the License. import os from itertools","creating multiple build variants based on a starting target. \"\"\" def __init__(self, targets:","test_target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) for board in [HostBoard.NATIVE, HostBoard.FAKE]: yield test_target.Extend(board.BoardName() + '-tests',","target.Extend('arm64-chip-tvserver', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm-chip-tvserver', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TVServer) yield target.Extend('x86-chip-tvserver', board=AndroidBoard.X86, app=AndroidApp.CHIP_TVServer) yield target.Extend('x64-chip-tvserver',","def HostTargets(): target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) target_native = target.Extend(HostBoard.NATIVE.BoardName(), board=HostBoard.NATIVE) targets = [target_native]","AllVariants(self): \"\"\" Yields a list of acceptable variants for the given targets. Handles","target.Extend('light', board=Bl602Board.BL602BOARD, app=Bl602App.LIGHT) def IMXTargets(): target = Target('imx', IMXBuilder) yield target.Extend('chip-tool', app=IMXApp.CHIP_TOOL) yield","for globbing. By default we do not want a 'build all' to select","app=HostApp.LIGHT)) app_targets.append(target.Extend('lock', app=HostApp.LOCK)) app_targets.append(target.Extend('shell', app=HostApp.SHELL)) app_targets.append(target.Extend( 'ota-provider', app=HostApp.OTA_PROVIDER, enable_ble=False)) app_targets.append(target.Extend( 'ota-requestor', app=HostApp.OTA_REQUESTOR, enable_ble=False))","def AllRequirementsMet(items: List[BuildVariant]) -> bool: \"\"\" Check that item.requires is satisfied for all","build variant \"\"\" clone = self.Clone() clone.name += \"-\" + suffix clone.create_kw_args.update(kargs) return","app=NrfApp.LIGHT, enable_rpcs=True) if '-nrf5340dk-' in rpc.name: rpc = rpc.GlobBlacklist( 'Compile failure due to","rpc def AndroidTargets(): target = Target('android', AndroidBuilder) yield target.Extend('arm-chip-tool', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tool',","IsGlobBlacklisted(self): return self.glob_blacklist_reason is not None @property def GlobBlacklistReason(self): return self.glob_blacklist_reason class AcceptAnyName:","variant for variant_count in range(1, len(ok_variants) + 1): for subgroup in combinations(ok_variants, variant_count):","variant \"\"\" clone = self.Clone() clone.name += \"-\" + suffix clone.create_kw_args.update(kargs) return clone","nrf52840dongle for all-clusters and lighting app only yield target.Extend('nrf52840dongle-all-clusters', board=NrfBoard.NRF52840DONGLE, app=NrfApp.ALL_CLUSTERS) yield target.Extend('nrf52840dongle-light',","License. import os from itertools import combinations from typing import List from builders.ameba","here builder.AppendVariant(name=\"same-event-loop\", validator=AcceptNameWithSubstrings( ['-chip-tool', '-chip-tool-darwin']), separate_event_loop=False), builder.AppendVariant(name=\"no-interactive\", validator=AcceptNameWithSubstrings( ['-chip-tool']), interactive_mode=False), builder.AppendVariant(name=\"ipv6only\", enable_ipv4=False), builder.AppendVariant(name=\"no-ble\",","board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TEST) yield target.Extend('androidstudio-arm-chip-tool', board=AndroidBoard.AndroidStudio_ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-arm64-chip-tool', board=AndroidBoard.AndroidStudio_ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x86-chip-tool', board=AndroidBoard.AndroidStudio_X86,","if HasConflicts(subgroup): continue if not AllRequirementsMet(subgroup): continue # Target ready to be created","app=cc13x2x7_26x2x7App.ALL_CLUSTERS) yield target.Extend('shell', app=cc13x2x7_26x2x7App.SHELL) def Cyw30739Targets(): yield Target('cyw30739-cyw930739m2evb_01-light', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LIGHT) yield Target('cyw30739-cyw930739m2evb_01-lock',","target: Has a name identifier plus parameters on how to build it (what"],"string":"[\n \"Unless required by applicable law or agreed to in writing, software # distributed\",\n \"yield target.Extend('nrf52840dongle-all-clusters', board=NrfBoard.NRF52840DONGLE, app=NrfApp.ALL_CLUSTERS) yield target.Extend('nrf52840dongle-light', board=NrfBoard.NRF52840DONGLE, app=NrfApp.LIGHT) for target in targets: yield\",\n \"target in builder.AllVariants(): if cross_compile and 'chip-tool' in target.name and 'arm64' in target.name\",\n \"Handles conflict resolution between build variants and globbing whitelist targets. \\\"\\\"\\\" for target\",\n \"that do not work for this target ok_variants = [ v for v\",\n \"for o in subgroup]) if name not in self.glob_whitelist: if not variant_target.IsGlobBlacklisted: variant_target\",\n \"yield target.Extend('androidstudio-arm-chip-tool', board=AndroidBoard.AndroidStudio_ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-arm64-chip-tool', board=AndroidBoard.AndroidStudio_ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x86-chip-tool', board=AndroidBoard.AndroidStudio_X86, app=AndroidApp.CHIP_TOOL) yield\",\n \"target.Clone() for option in subgroup: variant_target = variant_target.Extend( option.name, **option.buildargs) # Only a\",\n \"not forwarded to proto compiler. ' 'https://pigweed-review.googlesource.com/c/pigweed/pigweed/+/66760') yield rpc def AndroidTargets(): target =\",\n \"accepted variants. Arguments are construction variants to BuildVariant. Example usage: builder.AppendVariant(name=\\\"ipv6only\\\", enable_ipv4=False) \\\"\\\"\\\"\",\n \"of potential builds is exponential here. builder = VariantBuilder() builder.AppendVariant(name=\\\"no-ble\\\", enable_ble=False) builder.AppendVariant(name=\\\"no-wifi\\\", enable_wifi=False)\",\n \"app=Cyw30739App.OTA_REQUESTOR).GlobBlacklist( \\\"Running out of XIP flash space\\\") yield Target('cyw30739-cyw930739m2evb_01-ota-requestor-no-progress-logging', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR, progress_logging=False)\",\n \"= name self.validator = validator self.conflicts = conflicts self.buildargs = buildargs self.requires =\",\n \"self.targets = targets[:] self.variants = [] self.glob_whitelist = [] def WhitelistVariantNameForGlob(self, name): \\\"\\\"\\\"\",\n \"NOTE: The number of potential builds is exponential here. builder = VariantBuilder() builder.AppendVariant(name=\\\"no-ble\\\",\",\n \"clone.glob_blacklist_reason: clone.glob_blacklist_reason += \\\", \\\" clone.glob_blacklist_reason += reason else: clone.glob_blacklist_reason = reason return\",\n \"board=Efr32Board.BRD4304A).GlobBlacklist( 'only user requested') ] builder = VariantBuilder() for board_target in board_targets: builder.targets.append(board_target.Extend(\",\n \"name: str, validator=AcceptAnyName(), conflicts: List[str] = [], requires: List[str] = [], **buildargs): self.name\",\n \"app=MbedApp.SHELL)) for target in app_targets: yield target.Extend('release', profile=MbedProfile.RELEASE) yield target.Extend('develop', profile=MbedProfile.DEVELOP).GlobBlacklist( 'Compile only\",\n \"import MbedApp, MbedBoard, MbedBuilder, MbedProfile from builders.nrf import NrfApp, NrfBoard, NrfConnectBuilder from builders.qpg\",\n \"def IsGlobBlacklisted(self): return self.glob_blacklist_reason is not None @property def GlobBlacklistReason(self): return self.glob_blacklist_reason class\",\n \"profile=MbedProfile.DEVELOP).GlobBlacklist( 'Compile only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') yield target.Extend('debug', profile=MbedProfile.DEBUG).GlobBlacklist( 'Compile\",\n \"app_targets.append(target.Extend( 'ota-provider', app=HostApp.OTA_PROVIDER, enable_ble=False)) app_targets.append(target.Extend( 'ota-requestor', app=HostApp.OTA_REQUESTOR, enable_ble=False)) app_targets.append(target.Extend('python-bindings', app=HostApp.PYTHON_BINDINGS)) builder = VariantBuilder()\",\n \"Target('esp32', Esp32Builder) yield esp32_target.Extend('m5stack-all-clusters', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS) yield esp32_target.Extend('m5stack-all-clusters-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield esp32_target.Extend('m5stack-all-clusters-rpc',\",\n \"purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') def InfineonTargets(): target = Target('infineon', InfineonBuilder) yield target.Extend('p6-lock', board=InfineonBoard.P6BOARD,\",\n \"app_targets.append(target.Extend('chip-tool', app=HostApp.CHIP_TOOL)) app_targets.append(target.Extend('thermostat', app=HostApp.THERMOSTAT)) app_targets.append(target.Extend('minmdns', app=HostApp.MIN_MDNS)) app_targets.append(target.Extend('light', app=HostApp.LIGHT)) app_targets.append(target.Extend('lock', app=HostApp.LOCK)) app_targets.append(target.Extend('shell', app=HostApp.SHELL)) app_targets.append(target.Extend(\",\n \"IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or\",\n \"[]): # note the clone in case the default arg is used self.targets\",\n \"board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True, enable_ipv4=False) yield esp32_target.Extend('c3devkit-all-clusters', board=Esp32Board.C3DevKit, app=Esp32App.ALL_CLUSTERS) devkitc = esp32_target.Extend('devkitc', board=Esp32Board.DevKitC) yield\",\n \"yield target.Extend('lock', app=NrfApp.LOCK) yield target.Extend('light', app=NrfApp.LIGHT) yield target.Extend('shell', app=NrfApp.SHELL) yield target.Extend('pump', app=NrfApp.PUMP) yield\",\n \"or ('-python-bindings' in target.name) or ('nl-test-runner' in target.name): # Single-variant builds yield target\",\n \"AmebaBuilder) yield ameba_target.Extend('amebad-all-clusters', board=AmebaBoard.AMEBAD, app=AmebaApp.ALL_CLUSTERS) yield ameba_target.Extend('amebad-light', board=AmebaBoard.AMEBAD, app=AmebaApp.LIGHT) yield ameba_target.Extend('amebad-pigweed', board=AmebaBoard.AMEBAD, app=AmebaApp.PIGWEED)\",\n \"Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR, progress_logging=False) def QorvoTargets(): target = Target('qpg', QpgBuilder) yield target.Extend('lock', board=QpgBoard.QPG6105,\",\n \"cc13x2x7_26x2x7Builder from builders.cyw30739 import Cyw30739App, Cyw30739Board, Cyw30739Builder from builders.efr32 import Efr32App, Efr32Board, Efr32Builder\",\n \"clone = self.Clone() clone.name += \\\"-\\\" + suffix clone.create_kw_args.update(kargs) return clone def Create(self,\",\n \"app=HostApp.ALL_CLUSTERS)) if (HostBoard.NATIVE.PlatformName() == 'darwin'): app_targets.append(target.Extend( 'chip-tool-darwin', app=HostApp.CHIP_TOOL_DARWIN)) app_targets.append(target.Extend('chip-tool', app=HostApp.CHIP_TOOL)) app_targets.append(target.Extend('thermostat', app=HostApp.THERMOSTAT)) app_targets.append(target.Extend('minmdns',\",\n \"Target('tizen-arm', TizenBuilder, board=TizenBoard.ARM) builder.targets.append(target.Extend('light', app=TizenApp.LIGHT)) for target in builder.AllVariants(): yield target def Bl602Targets():\",\n \"yield esp32_target.Extend('c3devkit-all-clusters', board=Esp32Board.C3DevKit, app=Esp32App.ALL_CLUSTERS) devkitc = esp32_target.Extend('devkitc', board=Esp32Board.DevKitC) yield devkitc.Extend('all-clusters', app=Esp32App.ALL_CLUSTERS) yield devkitc.Extend('all-clusters-ipv6only',\",\n \"yield target.Extend('x64-chip-tool', board=AndroidBoard.X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x86-chip-tool', board=AndroidBoard.X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-test', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TEST) yield\",\n \"board_targets = [ efr_target.Extend('brd4161a', board=Efr32Board.BRD4161A), efr_target.Extend('brd4163a', board=Efr32Board.BRD4163A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4164a', board=Efr32Board.BRD4164A).GlobBlacklist( 'only\",\n \"target.name and 'arm64' in target.name and '-no-interactive' not in target.name: # Interactive builds\",\n \"to use and what arguments are required to produce the specified build) \\\"\\\"\\\"\",\n \"suffix clone.create_kw_args.update(kargs) return clone def Create(self, runner, repository_path: str, output_prefix: str, enable_flashbundle: bool):\",\n \"board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x64-chip-tool', board=AndroidBoard.X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x86-chip-tool', board=AndroidBoard.X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-test', board=AndroidBoard.ARM64,\",\n \"variants to BuildVariant. Example usage: builder.AppendVariant(name=\\\"ipv6only\\\", enable_ipv4=False) \\\"\\\"\\\" self.variants.append(BuildVariant(**args)) def AllVariants(self): \\\"\\\"\\\" Yields\",\n \"target.Extend('androidstudio-arm64-chip-tool', board=AndroidBoard.AndroidStudio_ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x86-chip-tool', board=AndroidBoard.AndroidStudio_X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x64-chip-tool', board=AndroidBoard.AndroidStudio_X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tvserver',\",\n \"for a, b in combinations(items, 2): if (a.name in b.conflicts) or (b.name in\",\n \"only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') yield target.Extend('debug', profile=MbedProfile.DEBUG).GlobBlacklist( 'Compile only for\",\n \"import InfineonApp, InfineonBoard, InfineonBuilder from builders.k32w import K32WApp, K32WBuilder from builders.mbed import MbedApp,\",\n \"List[Target] = []): # note the clone in case the default arg is\",\n \"o in subgroup]) if name not in self.glob_whitelist: if not variant_target.IsGlobBlacklisted: variant_target =\",\n \"board_target.Extend('light', app=Efr32App.LIGHT)) builder.targets.append(board_target.Extend('lock', app=Efr32App.LOCK)) # Possible build variants. Note that number of potential\",\n \"'all-clusters', app=HostApp.ALL_CLUSTERS)) if (HostBoard.NATIVE.PlatformName() == 'darwin'): app_targets.append(target.Extend( 'chip-tool-darwin', app=HostApp.CHIP_TOOL_DARWIN)) app_targets.append(target.Extend('chip-tool', app=HostApp.CHIP_TOOL)) app_targets.append(target.Extend('thermostat', app=HostApp.THERMOSTAT))\",\n \"software # distributed under the License is distributed on an \\\"AS IS\\\" BASIS,\",\n \"'linux') and (HostBoard.NATIVE.BoardName() != HostBoard.ARM64.BoardName()) if cross_compile: targets.append(target.Extend('arm64', board=HostBoard.ARM64)) app_targets = [] #\",\n \"= VariantBuilder() for board_target in board_targets: builder.targets.append(board_target.Extend( 'window-covering', app=Efr32App.WINDOW_COVERING)) builder.targets.append(board_target.Extend( 'switch', app=Efr32App.SWITCH)) builder.targets.append(board_target.Extend(\",\n \"enable_flashbundle: bool): builder = self.builder_class( repository_path, runner=runner, **self.create_kw_args) builder.target = self builder.identifier =\",\n \"import IMXApp, IMXBuilder class Target: \\\"\\\"\\\"Represents a build target: Has a name identifier\",\n \"is exponential here builder.AppendVariant(name=\\\"rpc\\\", validator=AcceptNameWithSubstrings( ['-light', '-lock']), enable_rpcs=True) builder.AppendVariant(name=\\\"with-ota-requestor\\\", enable_ota_requestor=True) builder.WhitelistVariantNameForGlob('rpc') for target\",\n \"AllRequirementsMet(items: List[BuildVariant]) -> bool: \\\"\\\"\\\" Check that item.requires is satisfied for all items\",\n \"# skip variants that do not work for this target ok_variants = [\",\n \"clone of self.\\\"\\\"\\\" clone = Target(self.name, self.builder_class, **self.create_kw_args.copy()) clone.glob_blacklist_reason = self.glob_blacklist_reason return clone\",\n \"builder.WhitelistVariantNameForGlob('no-interactive-ipv6only') builder.WhitelistVariantNameForGlob('ipv6only') for target in app_targets: if ('-rpc-console' in target.name) or ('-python-bindings' in\",\n \"Example usage: builder.AppendVariant(name=\\\"ipv6only\\\", enable_ipv4=False) \\\"\\\"\\\" self.variants.append(BuildVariant(**args)) def AllVariants(self): \\\"\\\"\\\" Yields a list of\",\n \"False return True class VariantBuilder: \\\"\\\"\\\"Handles creating multiple build variants based on a\",\n \"targets.append(target.Extend('arm64', board=HostBoard.ARM64)) app_targets = [] # Don't cross compile some builds app_targets.append( target_native.Extend('rpc-console',\",\n \"the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law\",\n \"efr_target.Extend('brd4170a', board=Efr32Board.BRD4170A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4186a', board=Efr32Board.BRD4186A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4187a', board=Efr32Board.BRD4187A).GlobBlacklist( 'only\",\n \"board=Efr32Board.BRD4164A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4166a', board=Efr32Board.BRD4166A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4170a', board=Efr32Board.BRD4170A).GlobBlacklist( 'only user\",\n \"target.Extend('p6-light', board=InfineonBoard.P6BOARD, app=InfineonApp.LIGHT) def AmebaTargets(): ameba_target = Target('ameba', AmebaBuilder) yield ameba_target.Extend('amebad-all-clusters', board=AmebaBoard.AMEBAD, app=AmebaApp.ALL_CLUSTERS)\",\n \"space\\\") yield Target('cyw30739-cyw930739m2evb_01-ota-requestor-no-progress-logging', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR, progress_logging=False) def QorvoTargets(): target = Target('qpg', QpgBuilder)\",\n \"[ HostTargets(), Esp32Targets(), Efr32Targets(), NrfTargets(), AndroidTargets(), MbedTargets(), InfineonTargets(), AmebaTargets(), K32WTargets(), cc13x2x7_26x2x7Targets(), Cyw30739Targets(), QorvoTargets(),\",\n \"board=NrfBoard.NRF52840DONGLE, app=NrfApp.LIGHT) for target in targets: yield target.Extend('all-clusters', app=NrfApp.ALL_CLUSTERS) yield target.Extend('lock', app=NrfApp.LOCK) yield\",\n \"= [] self.glob_whitelist = [] def WhitelistVariantNameForGlob(self, name): \\\"\\\"\\\" Whitelist the specified variant\",\n \"board=Efr32Board.BRD4186A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4187a', board=Efr32Board.BRD4187A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4304a', board=Efr32Board.BRD4304A).GlobBlacklist( 'only user\",\n \"target.Extend('light', app=NrfApp.LIGHT) yield target.Extend('shell', app=NrfApp.SHELL) yield target.Extend('pump', app=NrfApp.PUMP) yield target.Extend('pump-controller', app=NrfApp.PUMP_CONTROLLER) rpc =\",\n \"or (b.name in a.conflicts): return True return False def AllRequirementsMet(items: List[BuildVariant]) -> bool:\",\n \"in rpc.name: rpc = rpc.GlobBlacklist( 'Compile failure due to pw_build args not forwarded\",\n \"variant_target = variant_target.GlobBlacklist( 'Reduce default build variants') yield variant_target def HostTargets(): target =\",\n \"every possible variant for variant_count in range(1, len(ok_variants) + 1): for subgroup in\",\n \"in self.variants if v.validator.Accept(target.name)] # Build every possible variant for variant_count in range(1,\",\n \"identifier plus parameters on how to build it (what builder class to use\",\n \"import AndroidApp, AndroidBoard, AndroidBuilder from builders.cc13x2x7_26x2x7 import cc13x2x7_26x2x7App, cc13x2x7_26x2x7Builder from builders.cyw30739 import Cyw30739App,\",\n \"VariantBuilder() # Possible build variants. Note that number of potential # builds is\",\n \"self.builder_class( repository_path, runner=runner, **self.create_kw_args) builder.target = self builder.identifier = self.name builder.output_dir = os.path.join(output_prefix,\",\n \"the License. import os from itertools import combinations from typing import List from\",\n \"clone.glob_blacklist_reason = self.glob_blacklist_reason return clone def Extend(self, suffix, **kargs): \\\"\\\"\\\"Creates a clone of\",\n \"board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LOCK) yield Target('cyw30739-cyw930739m2evb_01-ota-requestor', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR).GlobBlacklist( \\\"Running out of XIP flash space\\\")\",\n \"CHIP Authors # # Licensed under the Apache License, Version 2.0 (the \\\"License\\\");\",\n \"= []): # note the clone in case the default arg is used\",\n \"yield target.Extend('light', app=NrfApp.LIGHT) yield target.Extend('shell', app=NrfApp.SHELL) yield target.Extend('pump', app=NrfApp.PUMP) yield target.Extend('pump-controller', app=NrfApp.PUMP_CONTROLLER) rpc\",\n \"reason else: clone.glob_blacklist_reason = reason return clone @property def IsGlobBlacklisted(self): return self.glob_blacklist_reason is\",\n \"['-chip-tool']), interactive_mode=False), builder.AppendVariant(name=\\\"ipv6only\\\", enable_ipv4=False), builder.AppendVariant(name=\\\"no-ble\\\", enable_ble=False), builder.AppendVariant(name=\\\"no-wifi\\\", enable_wifi=False), builder.AppendVariant(name=\\\"tsan\\\", conflicts=['asan'], use_tsan=True), builder.AppendVariant(name=\\\"asan\\\", conflicts=['tsan'],\",\n \"board=Efr32Board.BRD4170A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4186a', board=Efr32Board.BRD4186A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4187a', board=Efr32Board.BRD4187A).GlobBlacklist( 'only user\",\n \"app=HostApp.ADDRESS_RESOLVE) yield target_native.Extend('address-resolve-tool-clang', app=HostApp.ADDRESS_RESOLVE, use_clang=True).GlobBlacklist(\\\"Reduce default build variants\\\") yield target_native.Extend('address-resolve-tool-platform-mdns', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True).GlobBlacklist(\\\"Reduce default\",\n \"\\\"\\\"\\\"Handles creating multiple build variants based on a starting target. \\\"\\\"\\\" def __init__(self,\",\n \"= rpc.GlobBlacklist( 'Compile failure due to pw_build args not forwarded to proto compiler.\",\n \"List[str] = [], **buildargs): self.name = name self.validator = validator self.conflicts = conflicts\",\n \"enable_ipv4=False) yield esp32_target.Extend('c3devkit-all-clusters', board=Esp32Board.C3DevKit, app=Esp32App.ALL_CLUSTERS) devkitc = esp32_target.Extend('devkitc', board=Esp32Board.DevKitC) yield devkitc.Extend('all-clusters', app=Esp32App.ALL_CLUSTERS) yield\",\n \"builder_class, **kwargs): self.name = name self.builder_class = builder_class self.glob_blacklist_reason = None self.create_kw_args =\",\n \"builder.targets.append(board_target.Extend( 'unit-test', app=Efr32App.UNIT_TEST)) builder.targets.append( board_target.Extend('light', app=Efr32App.LIGHT)) builder.targets.append(board_target.Extend('lock', app=Efr32App.LOCK)) # Possible build variants. Note\",\n \"target.Extend('chip-tool', app=IMXApp.CHIP_TOOL) yield target.Extend('lighting-app', app=IMXApp.LIGHT) yield target.Extend('thermostat', app=IMXApp.THERMOSTAT) yield target.Extend('all-clusters-app', app=IMXApp.ALL_CLUSTERS) yield target.Extend('ota-provider-app',\",\n \"'unit-test', app=Efr32App.UNIT_TEST)) builder.targets.append( board_target.Extend('light', app=Efr32App.LIGHT)) builder.targets.append(board_target.Extend('lock', app=Efr32App.LOCK)) # Possible build variants. Note that\",\n \"self.name builder.output_dir = os.path.join(output_prefix, self.name) builder.enable_flashbundle(enable_flashbundle) return builder def GlobBlacklist(self, reason): clone =\",\n \"conflicts: List[str] = [], requires: List[str] = [], **buildargs): self.name = name self.validator\",\n \"2021 Project CHIP Authors # # Licensed under the Apache License, Version 2.0\",\n \"@property def IsGlobBlacklisted(self): return self.glob_blacklist_reason is not None @property def GlobBlacklistReason(self): return self.glob_blacklist_reason\",\n \"specific language governing permissions and # limitations under the License. import os from\",\n \"targets = [ target.Extend('CY8CPROTO_062_4343W', board=MbedBoard.CY8CPROTO_062_4343W), ] app_targets = [] for target in targets:\",\n \"target.Extend('all-clusters-app-release', app=IMXApp.ALL_CLUSTERS, release=True) yield target.Extend('ota-provider-app-release', app=IMXApp.OTA_PROVIDER, release=True) ALL = [] target_generators = [\",\n \"debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') yield target.Extend('debug', profile=MbedProfile.DEBUG).GlobBlacklist( 'Compile only for debugging purpose\",\n \"str): return True class AcceptNameWithSubstrings: def __init__(self, substr: List[str]): self.substr = substr def\",\n \"yield target_native.Extend('address-resolve-tool-platform-mdns-ipv6only', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True, enable_ipv4=False).GlobBlacklist(\\\"Reduce default build variants\\\") test_target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) for\",\n \"class AcceptAnyName: def Accept(self, name: str): return True class AcceptNameWithSubstrings: def __init__(self, substr:\",\n \"continue if not AllRequirementsMet(subgroup): continue # Target ready to be created - no\",\n \"globbing. By default we do not want a 'build all' to select all\",\n \"The number of potential builds is exponential here. builder = VariantBuilder() builder.AppendVariant(name=\\\"no-ble\\\", enable_ble=False)\",\n \"in targets: app_targets.append(target.Extend('lock', app=MbedApp.LOCK)) app_targets.append(target.Extend('light', app=MbedApp.LIGHT)) app_targets.append(target.Extend( 'all-clusters', app=MbedApp.ALL_CLUSTERS)) app_targets.append(target.Extend('pigweed', app=MbedApp.PIGWEED)) app_targets.append(target.Extend('shell', app=MbedApp.SHELL))\",\n \"self.glob_blacklist_reason class AcceptAnyName: def Accept(self, name: str): return True class AcceptNameWithSubstrings: def __init__(self,\",\n \"not use this file except in compliance with the License. # You may\",\n \"'Compile only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') yield target.Extend('debug', profile=MbedProfile.DEBUG).GlobBlacklist( 'Compile only\",\n \"libreadline is not part of the default sysroot yield target.GlobBlacklist('Arm crosscompile does not\",\n \"produce the specified build) \\\"\\\"\\\" def __init__(self, name, builder_class, **kwargs): self.name = name\",\n \"from builders.esp32 import Esp32App, Esp32Board, Esp32Builder from builders.host import HostApp, HostBoard, HostBuilder from\",\n \"name: str): for s in self.substr: if s in name: return True return\",\n \"app=AndroidApp.CHIP_TOOL) yield target.Extend('x86-chip-tool', board=AndroidBoard.X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-test', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TEST) yield target.Extend('androidstudio-arm-chip-tool', board=AndroidBoard.AndroidStudio_ARM, app=AndroidApp.CHIP_TOOL)\",\n \"board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LIGHT) yield Target('cyw30739-cyw930739m2evb_01-lock', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LOCK) yield Target('cyw30739-cyw930739m2evb_01-ota-requestor', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR).GlobBlacklist( \\\"Running\",\n \"clone = Target(self.name, self.builder_class, **self.create_kw_args.copy()) clone.glob_blacklist_reason = self.glob_blacklist_reason return clone def Extend(self, suffix,\",\n \"distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY\",\n \"yield target_native.Extend('address-resolve-tool', app=HostApp.ADDRESS_RESOLVE) yield target_native.Extend('address-resolve-tool-clang', app=HostApp.ADDRESS_RESOLVE, use_clang=True).GlobBlacklist(\\\"Reduce default build variants\\\") yield target_native.Extend('address-resolve-tool-platform-mdns', app=HostApp.ADDRESS_RESOLVE,\",\n \"BuildVariant: def __init__(self, name: str, validator=AcceptAnyName(), conflicts: List[str] = [], requires: List[str] =\",\n \"Enable nrf52840dongle for all-clusters and lighting app only yield target.Extend('nrf52840dongle-all-clusters', board=NrfBoard.NRF52840DONGLE, app=NrfApp.ALL_CLUSTERS) yield\",\n \"board=Esp32Board.QEMU, app=Esp32App.TESTS) def Efr32Targets(): efr_target = Target('efr32', Efr32Builder) board_targets = [ efr_target.Extend('brd4161a', board=Efr32Board.BRD4161A),\",\n \"'https://pigweed-review.googlesource.com/c/pigweed/pigweed/+/66760') yield rpc def AndroidTargets(): target = Target('android', AndroidBuilder) yield target.Extend('arm-chip-tool', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TOOL)\",\n \"yield devkitc.Extend('temperature-measurement-rpc', app=Esp32App.TEMPERATURE_MEASUREMENT, enable_rpcs=True) yield esp32_target.Extend('qemu-tests', board=Esp32Board.QEMU, app=Esp32App.TESTS) def Efr32Targets(): efr_target = Target('efr32',\",\n \"build variants based on a starting target. \\\"\\\"\\\" def __init__(self, targets: List[Target] =\",\n \"tokenizer=True, disable_ota=True, release=True) yield target.Extend('shell-release', app=K32WApp.SHELL, release=True) yield target.Extend('lock-release', app=K32WApp.LOCK, release=True) yield target.Extend('lock-low-power-release',\",\n \"esp32_target.Extend('m5stack-all-clusters-rpc-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True, enable_ipv4=False) yield esp32_target.Extend('c3devkit-all-clusters', board=Esp32Board.C3DevKit, app=Esp32App.ALL_CLUSTERS) devkitc = esp32_target.Extend('devkitc', board=Esp32Board.DevKitC)\",\n \"agreed to in writing, software # distributed under the License is distributed on\",\n \"AndroidBoard, AndroidBuilder from builders.cc13x2x7_26x2x7 import cc13x2x7_26x2x7App, cc13x2x7_26x2x7Builder from builders.cyw30739 import Cyw30739App, Cyw30739Board, Cyw30739Builder\",\n \"= set([item.name for item in items]) for item in items: for requirement in\",\n \"target = Target('cc13x2x7_26x2x7', cc13x2x7_26x2x7Builder) yield target.Extend('lock-ftd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=True) yield target.Extend('lock-mtd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=False) yield\",\n \"in subgroup]) if name not in self.glob_whitelist: if not variant_target.IsGlobBlacklisted: variant_target = variant_target.GlobBlacklist(\",\n \"if clone.glob_blacklist_reason: clone.glob_blacklist_reason += \\\", \\\" clone.glob_blacklist_reason += reason else: clone.glob_blacklist_reason = reason\",\n \"yield target.Extend('debug', profile=MbedProfile.DEBUG).GlobBlacklist( 'Compile only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') def InfineonTargets():\",\n \"Arguments: suffix: appended with a \\\"-\\\" as separator to the clone name **kargs:\",\n \"Single-variant builds yield target else: builder.targets.append(target) for target in builder.AllVariants(): if cross_compile and\",\n \"= self.glob_blacklist_reason return clone def Extend(self, suffix, **kargs): \\\"\\\"\\\"Creates a clone of the\",\n \"target in app_targets: if ('-rpc-console' in target.name) or ('-python-bindings' in target.name) or ('nl-test-runner'\",\n \"= Target('tizen-arm', TizenBuilder, board=TizenBoard.ARM) builder.targets.append(target.Extend('light', app=TizenApp.LIGHT)) for target in builder.AllVariants(): yield target def\",\n \"builder.AppendVariant(name=\\\"tsan\\\", conflicts=['asan'], use_tsan=True), builder.AppendVariant(name=\\\"asan\\\", conflicts=['tsan'], use_asan=True), builder.AppendVariant(name=\\\"libfuzzer\\\", requires=[ \\\"clang\\\"], use_libfuzzer=True), builder.AppendVariant(name=\\\"clang\\\", use_clang=True), builder.AppendVariant(name=\\\"test\\\",\",\n \"target_native = target.Extend(HostBoard.NATIVE.BoardName(), board=HostBoard.NATIVE) targets = [target_native] # x64 linux supports cross compile\",\n \"only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') def InfineonTargets(): target = Target('infineon', InfineonBuilder)\",\n \"cross_compile = (HostBoard.NATIVE.PlatformName() == 'linux') and (HostBoard.NATIVE.BoardName() != HostBoard.ARM64.BoardName()) if cross_compile: targets.append(target.Extend('arm64', board=HostBoard.ARM64))\",\n \"Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LIGHT) yield Target('cyw30739-cyw930739m2evb_01-lock', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LOCK) yield Target('cyw30739-cyw930739m2evb_01-ota-requestor', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR).GlobBlacklist(\",\n \"[HostBoard.NATIVE, HostBoard.FAKE]: yield test_target.Extend(board.BoardName() + '-tests', board=board, app=HostApp.TESTS) def Esp32Targets(): esp32_target = Target('esp32',\",\n \"kwargs def Clone(self): \\\"\\\"\\\"Creates a clone of self.\\\"\\\"\\\" clone = Target(self.name, self.builder_class, **self.create_kw_args.copy())\",\n \"in board_targets: builder.targets.append(board_target.Extend( 'window-covering', app=Efr32App.WINDOW_COVERING)) builder.targets.append(board_target.Extend( 'switch', app=Efr32App.SWITCH)) builder.targets.append(board_target.Extend( 'unit-test', app=Efr32App.UNIT_TEST)) builder.targets.append( board_target.Extend('light',\",\n \"enable_rpcs=True) yield esp32_target.Extend('m5stack-all-clusters-rpc-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True, enable_ipv4=False) yield esp32_target.Extend('c3devkit-all-clusters', board=Esp32Board.C3DevKit, app=Esp32App.ALL_CLUSTERS) devkitc =\",\n \"+= reason else: clone.glob_blacklist_reason = reason return clone @property def IsGlobBlacklisted(self): return self.glob_blacklist_reason\",\n \"app=Esp32App.ALL_CLUSTERS) devkitc = esp32_target.Extend('devkitc', board=Esp32Board.DevKitC) yield devkitc.Extend('all-clusters', app=Esp32App.ALL_CLUSTERS) yield devkitc.Extend('all-clusters-ipv6only', app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield\",\n \"yield devkitc.Extend('bridge', app=Esp32App.BRIDGE) yield devkitc.Extend('temperature-measurement', app=Esp32App.TEMPERATURE_MEASUREMENT) yield devkitc.Extend('temperature-measurement-rpc', app=Esp32App.TEMPERATURE_MEASUREMENT, enable_rpcs=True) yield esp32_target.Extend('qemu-tests', board=Esp32Board.QEMU,\",\n \"target.Extend('pump-controller', app=cc13x2x7_26x2x7App.PUMP_CONTROLLER) yield target.Extend('all-clusters', app=cc13x2x7_26x2x7App.ALL_CLUSTERS) yield target.Extend('shell', app=cc13x2x7_26x2x7App.SHELL) def Cyw30739Targets(): yield Target('cyw30739-cyw930739m2evb_01-light', Cyw30739Builder,\",\n \"to be allowed for globbing. By default we do not want a 'build\",\n \"Clone(self): \\\"\\\"\\\"Creates a clone of self.\\\"\\\"\\\" clone = Target(self.name, self.builder_class, **self.create_kw_args.copy()) clone.glob_blacklist_reason =\",\n \"of self.\\\"\\\"\\\" clone = Target(self.name, self.builder_class, **self.create_kw_args.copy()) clone.glob_blacklist_reason = self.glob_blacklist_reason return clone def\",\n \"its build parameters. Arguments: suffix: appended with a \\\"-\\\" as separator to the\",\n \"target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) target_native = target.Extend(HostBoard.NATIVE.BoardName(), board=HostBoard.NATIVE) targets = [target_native] # x64\",\n \"for all items in the given list \\\"\\\"\\\" available = set([item.name for item\",\n \"not work for this target ok_variants = [ v for v in self.variants\",\n \"a name identifier plus parameters on how to build it (what builder class\",\n \"variants for the given targets. Handles conflict resolution between build variants and globbing\",\n \"board=QpgBoard.QPG6105, app=QpgApp.LIGHT) yield target.Extend('shell', board=QpgBoard.QPG6105, app=QpgApp.SHELL) yield target.Extend('persistent-storage', board=QpgBoard.QPG6105, app=QpgApp.PERSISTENT_STORAGE) def TizenTargets(): #\",\n \"app=K32WApp.LOCK, release=True) yield target.Extend('lock-low-power-release', app=K32WApp.LOCK, low_power=True, release=True).GlobBlacklist(\\\"Only on demand build\\\") def cc13x2x7_26x2x7Targets(): target\",\n \"Yields a list of acceptable variants for the given targets. Handles conflict resolution\",\n \"Cyw30739Builder from builders.efr32 import Efr32App, Efr32Board, Efr32Builder from builders.esp32 import Esp32App, Esp32Board, Esp32Builder\",\n \"board=QpgBoard.QPG6105, app=QpgApp.SHELL) yield target.Extend('persistent-storage', board=QpgBoard.QPG6105, app=QpgApp.PERSISTENT_STORAGE) def TizenTargets(): # Possible build variants. #\",\n \"# Copyright (c) 2021 Project CHIP Authors # # Licensed under the Apache\",\n \"to in writing, software # distributed under the License is distributed on an\",\n \"rpc.name: rpc = rpc.GlobBlacklist( 'Compile failure due to pw_build args not forwarded to\",\n \"is used self.targets = targets[:] self.variants = [] self.glob_whitelist = [] def WhitelistVariantNameForGlob(self,\",\n \"- ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') yield target.Extend('debug', profile=MbedProfile.DEBUG).GlobBlacklist( 'Compile only for debugging purpose - '\",\n \"implied. # See the License for the specific language governing permissions and #\",\n \"default arg is used self.targets = targets[:] self.variants = [] self.glob_whitelist = []\",\n \"enable_rpcs=True, enable_ipv4=False) yield esp32_target.Extend('c3devkit-all-clusters', board=Esp32Board.C3DevKit, app=Esp32App.ALL_CLUSTERS) devkitc = esp32_target.Extend('devkitc', board=Esp32Board.DevKitC) yield devkitc.Extend('all-clusters', app=Esp32App.ALL_CLUSTERS)\",\n \"rpc = target.Extend('light-rpc', app=NrfApp.LIGHT, enable_rpcs=True) if '-nrf5340dk-' in rpc.name: rpc = rpc.GlobBlacklist( 'Compile\",\n \"from builders.infineon import InfineonApp, InfineonBoard, InfineonBuilder from builders.k32w import K32WApp, K32WBuilder from builders.mbed\",\n \"(b.name in a.conflicts): return True return False def AllRequirementsMet(items: List[BuildVariant]) -> bool: \\\"\\\"\\\"\",\n \"== 'darwin'): app_targets.append(target.Extend( 'chip-tool-darwin', app=HostApp.CHIP_TOOL_DARWIN)) app_targets.append(target.Extend('chip-tool', app=HostApp.CHIP_TOOL)) app_targets.append(target.Extend('thermostat', app=HostApp.THERMOSTAT)) app_targets.append(target.Extend('minmdns', app=HostApp.MIN_MDNS)) app_targets.append(target.Extend('light', app=HostApp.LIGHT))\",\n \"Note that number of potential # builds is exponential here builder.AppendVariant(name=\\\"same-event-loop\\\", validator=AcceptNameWithSubstrings( ['-chip-tool',\",\n \"= [] target_generators = [ HostTargets(), Esp32Targets(), Efr32Targets(), NrfTargets(), AndroidTargets(), MbedTargets(), InfineonTargets(), AmebaTargets(),\",\n \"available: return False return True class VariantBuilder: \\\"\\\"\\\"Handles creating multiple build variants based\",\n \"self.glob_blacklist_reason is not None @property def GlobBlacklistReason(self): return self.glob_blacklist_reason class AcceptAnyName: def Accept(self,\",\n \"target.Extend('pump', app=NrfApp.PUMP) yield target.Extend('pump-controller', app=NrfApp.PUMP_CONTROLLER) rpc = target.Extend('light-rpc', app=NrfApp.LIGHT, enable_rpcs=True) if '-nrf5340dk-' in\",\n \"Target(self.name, self.builder_class, **self.create_kw_args.copy()) clone.glob_blacklist_reason = self.glob_blacklist_reason return clone def Extend(self, suffix, **kargs): \\\"\\\"\\\"Creates\",\n \"board=AndroidBoard.ARM, app=AndroidApp.CHIP_TV_CASTING_APP) def MbedTargets(): target = Target('mbed', MbedBuilder) targets = [ target.Extend('CY8CPROTO_062_4343W', board=MbedBoard.CY8CPROTO_062_4343W),\",\n \"import cc13x2x7_26x2x7App, cc13x2x7_26x2x7Builder from builders.cyw30739 import Cyw30739App, Cyw30739Board, Cyw30739Builder from builders.efr32 import Efr32App,\",\n \"validator=AcceptNameWithSubstrings( ['-chip-tool', '-chip-tool-darwin']), separate_event_loop=False), builder.AppendVariant(name=\\\"no-interactive\\\", validator=AcceptNameWithSubstrings( ['-chip-tool']), interactive_mode=False), builder.AppendVariant(name=\\\"ipv6only\\\", enable_ipv4=False), builder.AppendVariant(name=\\\"no-ble\\\", enable_ble=False), builder.AppendVariant(name=\\\"no-wifi\\\",\",\n \"target # Without extra build variants yield target_native.Extend('chip-cert', app=HostApp.CERT_TOOL) yield target_native.Extend('address-resolve-tool', app=HostApp.ADDRESS_RESOLVE) yield\",\n \"to accepted variants. Arguments are construction variants to BuildVariant. Example usage: builder.AppendVariant(name=\\\"ipv6only\\\", enable_ipv4=False)\",\n \"validator self.conflicts = conflicts self.buildargs = buildargs self.requires = requires def HasConflicts(items: List[BuildVariant])\",\n \"MbedBuilder) targets = [ target.Extend('CY8CPROTO_062_4343W', board=MbedBoard.CY8CPROTO_062_4343W), ] app_targets = [] for target in\",\n \"\\\"\\\"\\\"Represents a build target: Has a name identifier plus parameters on how to\",\n \"Apache License, Version 2.0 (the \\\"License\\\"); # you may not use this file\",\n \"compile some builds app_targets.append( target_native.Extend('rpc-console', app=HostApp.RPC_CONSOLE)) app_targets.append( target_native.Extend('tv-app', app=HostApp.TV_APP)) app_targets.append( target_native.Extend('tv-casting-app', app=HostApp.TV_CASTING_APP)) app_targets.append(\",\n \"app=IMXApp.ALL_CLUSTERS) yield target.Extend('ota-provider-app', app=IMXApp.OTA_PROVIDER) yield target.Extend('chip-tool-release', app=IMXApp.CHIP_TOOL, release=True) yield target.Extend('lighting-app-release', app=IMXApp.LIGHT, release=True) yield\",\n \"board=AndroidBoard.AndroidStudio_ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-arm64-chip-tool', board=AndroidBoard.AndroidStudio_ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x86-chip-tool', board=AndroidBoard.AndroidStudio_X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x64-chip-tool', board=AndroidBoard.AndroidStudio_X64,\",\n \"app=MbedApp.PIGWEED)) app_targets.append(target.Extend('shell', app=MbedApp.SHELL)) for target in app_targets: yield target.Extend('release', profile=MbedProfile.RELEASE) yield target.Extend('develop', profile=MbedProfile.DEVELOP).GlobBlacklist(\",\n \"VariantBuilder() builder.AppendVariant(name=\\\"no-ble\\\", enable_ble=False) builder.AppendVariant(name=\\\"no-wifi\\\", enable_wifi=False) builder.AppendVariant(name=\\\"asan\\\", use_asan=True) target = Target('tizen-arm', TizenBuilder, board=TizenBoard.ARM) builder.targets.append(target.Extend('light',\",\n \"clone.name += \\\"-\\\" + suffix clone.create_kw_args.update(kargs) return clone def Create(self, runner, repository_path: str,\",\n \"the new build variant \\\"\\\"\\\" clone = self.Clone() clone.name += \\\"-\\\" + suffix\",\n \"yield target.Extend('x86-chip-tvserver', board=AndroidBoard.X86, app=AndroidApp.CHIP_TVServer) yield target.Extend('x64-chip-tvserver', board=AndroidBoard.X64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm64-chip-tv-casting-app', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TV_CASTING_APP) yield\",\n \"AmebaBuilder from builders.android import AndroidApp, AndroidBoard, AndroidBuilder from builders.cc13x2x7_26x2x7 import cc13x2x7_26x2x7App, cc13x2x7_26x2x7Builder from\",\n \"x64 linux supports cross compile cross_compile = (HostBoard.NATIVE.PlatformName() == 'linux') and (HostBoard.NATIVE.BoardName() !=\",\n \"Bl602Targets(): target = Target('bl602', Bl602Builder) yield target.Extend('light', board=Bl602Board.BL602BOARD, app=Bl602App.LIGHT) def IMXTargets(): target =\",\n \"from builders.k32w import K32WApp, K32WBuilder from builders.mbed import MbedApp, MbedBoard, MbedBuilder, MbedProfile from\",\n \"requested') ] builder = VariantBuilder() for board_target in board_targets: builder.targets.append(board_target.Extend( 'window-covering', app=Efr32App.WINDOW_COVERING)) builder.targets.append(board_target.Extend(\",\n \"# See the License for the specific language governing permissions and # limitations\",\n \"the License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR\",\n \"# Only a few are whitelisted for globs name = '-'.join([o.name for o\",\n \"Target('mbed', MbedBuilder) targets = [ target.Extend('CY8CPROTO_062_4343W', board=MbedBoard.CY8CPROTO_062_4343W), ] app_targets = [] for target\",\n \"release=True) yield target.Extend('all-clusters-app-release', app=IMXApp.ALL_CLUSTERS, release=True) yield target.Extend('ota-provider-app-release', app=IMXApp.OTA_PROVIDER, release=True) ALL = [] target_generators\",\n \"app=NrfApp.LOCK) yield target.Extend('light', app=NrfApp.LIGHT) yield target.Extend('shell', app=NrfApp.SHELL) yield target.Extend('pump', app=NrfApp.PUMP) yield target.Extend('pump-controller', app=NrfApp.PUMP_CONTROLLER)\",\n \"object extending its build parameters. Arguments: suffix: appended with a \\\"-\\\" as separator\",\n \"by default on arm cross compiles # because libreadline is not part of\",\n \"Simple targets added one by one ALL.append(Target('telink-tlsr9518adk80d-light', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.LIGHT)) ALL.append(Target('telink-tlsr9518adk80d-light-switch', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D,\",\n \"app_targets.append(target.Extend('light', app=MbedApp.LIGHT)) app_targets.append(target.Extend( 'all-clusters', app=MbedApp.ALL_CLUSTERS)) app_targets.append(target.Extend('pigweed', app=MbedApp.PIGWEED)) app_targets.append(target.Extend('shell', app=MbedApp.SHELL)) for target in app_targets:\",\n \"HostApp, HostBoard, HostBuilder from builders.infineon import InfineonApp, InfineonBoard, InfineonBuilder from builders.k32w import K32WApp,\",\n \"target_native.Extend('address-resolve-tool-clang', app=HostApp.ADDRESS_RESOLVE, use_clang=True).GlobBlacklist(\\\"Reduce default build variants\\\") yield target_native.Extend('address-resolve-tool-platform-mdns', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True).GlobBlacklist(\\\"Reduce default build variants\\\")\",\n \"board=TizenBoard.ARM) builder.targets.append(target.Extend('light', app=TizenApp.LIGHT)) for target in builder.AllVariants(): yield target def Bl602Targets(): target =\",\n \"the Apache License, Version 2.0 (the \\\"License\\\"); # you may not use this\",\n \"current object extending its build parameters. Arguments: suffix: appended with a \\\"-\\\" as\",\n \"you may not use this file except in compliance with the License. #\",\n \"yield target_native.Extend('address-resolve-tool-clang', app=HostApp.ADDRESS_RESOLVE, use_clang=True).GlobBlacklist(\\\"Reduce default build variants\\\") yield target_native.Extend('address-resolve-tool-platform-mdns', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True).GlobBlacklist(\\\"Reduce default build\",\n \"board=AndroidBoard.X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-test', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TEST) yield target.Extend('androidstudio-arm-chip-tool', board=AndroidBoard.AndroidStudio_ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-arm64-chip-tool', board=AndroidBoard.AndroidStudio_ARM64,\",\n \"True class AcceptNameWithSubstrings: def __init__(self, substr: List[str]): self.substr = substr def Accept(self, name:\",\n \"target.Extend('nrf5340dk', board=NrfBoard.NRF5340DK), target.Extend('nrf52840dk', board=NrfBoard.NRF52840DK), ] # Enable nrf52840dongle for all-clusters and lighting app\",\n \"-> bool: for a, b in combinations(items, 2): if (a.name in b.conflicts) or\",\n \"# Target ready to be created - no conflicts variant_target = target.Clone() for\",\n \"(HostBoard.NATIVE.PlatformName() == 'darwin'): app_targets.append(target.Extend( 'chip-tool-darwin', app=HostApp.CHIP_TOOL_DARWIN)) app_targets.append(target.Extend('chip-tool', app=HostApp.CHIP_TOOL)) app_targets.append(target.Extend('thermostat', app=HostApp.THERMOSTAT)) app_targets.append(target.Extend('minmdns', app=HostApp.MIN_MDNS)) app_targets.append(target.Extend('light',\",\n \"efr_target.Extend('brd4161a', board=Efr32Board.BRD4161A), efr_target.Extend('brd4163a', board=Efr32Board.BRD4163A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4164a', board=Efr32Board.BRD4164A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4166a',\",\n \"Esp32Targets(): esp32_target = Target('esp32', Esp32Builder) yield esp32_target.Extend('m5stack-all-clusters', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS) yield esp32_target.Extend('m5stack-all-clusters-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS,\",\n \"[target_native] # x64 linux supports cross compile cross_compile = (HostBoard.NATIVE.PlatformName() == 'linux') and\",\n \"def MbedTargets(): target = Target('mbed', MbedBuilder) targets = [ target.Extend('CY8CPROTO_062_4343W', board=MbedBoard.CY8CPROTO_062_4343W), ] app_targets\",\n \"targets: app_targets.append(target.Extend( 'all-clusters', app=HostApp.ALL_CLUSTERS)) if (HostBoard.NATIVE.PlatformName() == 'darwin'): app_targets.append(target.Extend( 'chip-tool-darwin', app=HostApp.CHIP_TOOL_DARWIN)) app_targets.append(target.Extend('chip-tool', app=HostApp.CHIP_TOOL))\",\n \"construction variants to BuildVariant. Example usage: builder.AppendVariant(name=\\\"ipv6only\\\", enable_ipv4=False) \\\"\\\"\\\" self.variants.append(BuildVariant(**args)) def AllVariants(self): \\\"\\\"\\\"\",\n \"v.validator.Accept(target.name)] # Build every possible variant for variant_count in range(1, len(ok_variants) + 1):\",\n \"app=HostApp.LOCK)) app_targets.append(target.Extend('shell', app=HostApp.SHELL)) app_targets.append(target.Extend( 'ota-provider', app=HostApp.OTA_PROVIDER, enable_ble=False)) app_targets.append(target.Extend( 'ota-requestor', app=HostApp.OTA_REQUESTOR, enable_ble=False)) app_targets.append(target.Extend('python-bindings', app=HostApp.PYTHON_BINDINGS))\",\n \"clone in case the default arg is used self.targets = targets[:] self.variants =\",\n \"enable_wifi=False), builder.AppendVariant(name=\\\"tsan\\\", conflicts=['asan'], use_tsan=True), builder.AppendVariant(name=\\\"asan\\\", conflicts=['tsan'], use_asan=True), builder.AppendVariant(name=\\\"libfuzzer\\\", requires=[ \\\"clang\\\"], use_libfuzzer=True), builder.AppendVariant(name=\\\"clang\\\", use_clang=True),\",\n \"# Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); # you may\",\n \"yield devkitc.Extend('lock', app=Esp32App.LOCK) yield devkitc.Extend('bridge', app=Esp32App.BRIDGE) yield devkitc.Extend('temperature-measurement', app=Esp32App.TEMPERATURE_MEASUREMENT) yield devkitc.Extend('temperature-measurement-rpc', app=Esp32App.TEMPERATURE_MEASUREMENT, enable_rpcs=True)\",\n \"app=AmebaApp.ALL_CLUSTERS) yield ameba_target.Extend('amebad-light', board=AmebaBoard.AMEBAD, app=AmebaApp.LIGHT) yield ameba_target.Extend('amebad-pigweed', board=AmebaBoard.AMEBAD, app=AmebaApp.PIGWEED) def K32WTargets(): target =\",\n \"app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield esp32_target.Extend('m5stack-all-clusters-rpc', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True) yield esp32_target.Extend('m5stack-all-clusters-rpc-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True, enable_ipv4=False)\",\n \"board=AmebaBoard.AMEBAD, app=AmebaApp.PIGWEED) def K32WTargets(): target = Target('k32w', K32WBuilder) yield target.Extend('light-ota-se', app=K32WApp.LIGHT, release=True, disable_ble=True,\",\n \"interactive_mode=False), builder.AppendVariant(name=\\\"ipv6only\\\", enable_ipv4=False), builder.AppendVariant(name=\\\"no-ble\\\", enable_ble=False), builder.AppendVariant(name=\\\"no-wifi\\\", enable_wifi=False), builder.AppendVariant(name=\\\"tsan\\\", conflicts=['asan'], use_tsan=True), builder.AppendVariant(name=\\\"asan\\\", conflicts=['tsan'], use_asan=True),\",\n \"devkitc.Extend('light', app=Esp32App.LIGHT) yield devkitc.Extend('lock', app=Esp32App.LOCK) yield devkitc.Extend('bridge', app=Esp32App.BRIDGE) yield devkitc.Extend('temperature-measurement', app=Esp32App.TEMPERATURE_MEASUREMENT) yield devkitc.Extend('temperature-measurement-rpc',\",\n \"build variants. # NOTE: The number of potential builds is exponential here. builder\",\n \"of potential # builds is exponential here builder.AppendVariant(name=\\\"same-event-loop\\\", validator=AcceptNameWithSubstrings( ['-chip-tool', '-chip-tool-darwin']), separate_event_loop=False), builder.AppendVariant(name=\\\"no-interactive\\\",\",\n \"build parameters. Arguments: suffix: appended with a \\\"-\\\" as separator to the clone\",\n \"app=QpgApp.LOCK) yield target.Extend('light', board=QpgBoard.QPG6105, app=QpgApp.LIGHT) yield target.Extend('shell', board=QpgBoard.QPG6105, app=QpgApp.SHELL) yield target.Extend('persistent-storage', board=QpgBoard.QPG6105, app=QpgApp.PERSISTENT_STORAGE)\",\n \"builder.output_dir = os.path.join(output_prefix, self.name) builder.enable_flashbundle(enable_flashbundle) return builder def GlobBlacklist(self, reason): clone = self.Clone()\",\n \"yield target.Extend('thermostat-release', app=IMXApp.THERMOSTAT, release=True) yield target.Extend('all-clusters-app-release', app=IMXApp.ALL_CLUSTERS, release=True) yield target.Extend('ota-provider-app-release', app=IMXApp.OTA_PROVIDER, release=True) ALL\",\n \"app=Efr32App.WINDOW_COVERING)) builder.targets.append(board_target.Extend( 'switch', app=Efr32App.SWITCH)) builder.targets.append(board_target.Extend( 'unit-test', app=Efr32App.UNIT_TEST)) builder.targets.append( board_target.Extend('light', app=Efr32App.LIGHT)) builder.targets.append(board_target.Extend('lock', app=Efr32App.LOCK)) #\",\n \"self.name = name self.validator = validator self.conflicts = conflicts self.buildargs = buildargs self.requires\",\n \"# builds is exponential here builder.AppendVariant(name=\\\"same-event-loop\\\", validator=AcceptNameWithSubstrings( ['-chip-tool', '-chip-tool-darwin']), separate_event_loop=False), builder.AppendVariant(name=\\\"no-interactive\\\", validator=AcceptNameWithSubstrings( ['-chip-tool']),\",\n \"target.Extend('arm64-chip-tv-casting-app', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TV_CASTING_APP) yield target.Extend('arm-chip-tv-casting-app', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TV_CASTING_APP) def MbedTargets(): target = Target('mbed', MbedBuilder)\",\n \"if cross_compile and 'chip-tool' in target.name and 'arm64' in target.name and '-no-interactive' not\",\n \"a 'build all' to select all variants, so variants are generally glob-blacklisted. \\\"\\\"\\\"\",\n \"builder.AppendVariant(name=\\\"no-ble\\\", enable_ble=False), builder.AppendVariant(name=\\\"no-wifi\\\", enable_wifi=False), builder.AppendVariant(name=\\\"tsan\\\", conflicts=['asan'], use_tsan=True), builder.AppendVariant(name=\\\"asan\\\", conflicts=['tsan'], use_asan=True), builder.AppendVariant(name=\\\"libfuzzer\\\", requires=[ \\\"clang\\\"],\",\n \"of potential # builds is exponential here builder.AppendVariant(name=\\\"rpc\\\", validator=AcceptNameWithSubstrings( ['-light', '-lock']), enable_rpcs=True) builder.AppendVariant(name=\\\"with-ota-requestor\\\",\",\n \"builder.targets.append(target.Extend('light', app=TizenApp.LIGHT)) for target in builder.AllVariants(): yield target def Bl602Targets(): target = Target('bl602',\",\n \"enable_ble=False)) app_targets.append(target.Extend( 'ota-requestor', app=HostApp.OTA_REQUESTOR, enable_ble=False)) app_targets.append(target.Extend('python-bindings', app=HostApp.PYTHON_BINDINGS)) builder = VariantBuilder() # Possible build\",\n \"(HostBoard.NATIVE.BoardName() != HostBoard.ARM64.BoardName()) if cross_compile: targets.append(target.Extend('arm64', board=HostBoard.ARM64)) app_targets = [] # Don't cross\",\n \"app=HostApp.RPC_CONSOLE)) app_targets.append( target_native.Extend('tv-app', app=HostApp.TV_APP)) app_targets.append( target_native.Extend('tv-casting-app', app=HostApp.TV_CASTING_APP)) app_targets.append( target_native.Extend('nl-test-runner', app=HostApp.NL_TEST_RUNNER)) for target in\",\n \"def Efr32Targets(): efr_target = Target('efr32', Efr32Builder) board_targets = [ efr_target.Extend('brd4161a', board=Efr32Board.BRD4161A), efr_target.Extend('brd4163a', board=Efr32Board.BRD4163A).GlobBlacklist(\",\n \"app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x86-chip-tool', board=AndroidBoard.AndroidStudio_X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x64-chip-tool', board=AndroidBoard.AndroidStudio_X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tvserver', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TVServer)\",\n \"user requested'), efr_target.Extend('brd4166a', board=Efr32Board.BRD4166A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4170a', board=Efr32Board.BRD4170A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4186a',\",\n \"select all variants, so variants are generally glob-blacklisted. \\\"\\\"\\\" self.glob_whitelist.append(name) def AppendVariant(self, **args):\",\n \"builders.host import HostApp, HostBoard, HostBuilder from builders.infineon import InfineonApp, InfineonBoard, InfineonBuilder from builders.k32w\",\n \"__init__(self, substr: List[str]): self.substr = substr def Accept(self, name: str): for s in\",\n \"are generally glob-blacklisted. \\\"\\\"\\\" self.glob_whitelist.append(name) def AppendVariant(self, **args): \\\"\\\"\\\" Add another variant to\",\n \"target.Extend('androidstudio-x86-chip-tool', board=AndroidBoard.AndroidStudio_X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x64-chip-tool', board=AndroidBoard.AndroidStudio_X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tvserver', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm-chip-tvserver',\",\n \"self.name) builder.enable_flashbundle(enable_flashbundle) return builder def GlobBlacklist(self, reason): clone = self.Clone() if clone.glob_blacklist_reason: clone.glob_blacklist_reason\",\n \"= target.Clone() for option in subgroup: variant_target = variant_target.Extend( option.name, **option.buildargs) # Only\",\n \"app=Esp32App.TEMPERATURE_MEASUREMENT, enable_rpcs=True) yield esp32_target.Extend('qemu-tests', board=Esp32Board.QEMU, app=Esp32App.TESTS) def Efr32Targets(): efr_target = Target('efr32', Efr32Builder) board_targets\",\n \"- ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') def InfineonTargets(): target = Target('infineon', InfineonBuilder) yield target.Extend('p6-lock', board=InfineonBoard.P6BOARD, app=InfineonApp.LOCK)\",\n \"in combinations(items, 2): if (a.name in b.conflicts) or (b.name in a.conflicts): return True\",\n \"and globbing whitelist targets. \\\"\\\"\\\" for target in self.targets: yield target # skip\",\n \"default we do not want a 'build all' to select all variants, so\",\n \"devkitc.Extend('all-clusters', app=Esp32App.ALL_CLUSTERS) yield devkitc.Extend('all-clusters-ipv6only', app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield devkitc.Extend('shell', app=Esp32App.SHELL) yield devkitc.Extend('light', app=Esp32App.LIGHT) yield\",\n \"= Target('ameba', AmebaBuilder) yield ameba_target.Extend('amebad-all-clusters', board=AmebaBoard.AMEBAD, app=AmebaApp.ALL_CLUSTERS) yield ameba_target.Extend('amebad-light', board=AmebaBoard.AMEBAD, app=AmebaApp.LIGHT) yield ameba_target.Extend('amebad-pigweed',\",\n \"app=Esp32App.TEMPERATURE_MEASUREMENT) yield devkitc.Extend('temperature-measurement-rpc', app=Esp32App.TEMPERATURE_MEASUREMENT, enable_rpcs=True) yield esp32_target.Extend('qemu-tests', board=Esp32Board.QEMU, app=Esp32App.TESTS) def Efr32Targets(): efr_target =\",\n \"option.name, **option.buildargs) # Only a few are whitelisted for globs name = '-'.join([o.name\",\n \"board in [HostBoard.NATIVE, HostBoard.FAKE]: yield test_target.Extend(board.BoardName() + '-tests', board=board, app=HostApp.TESTS) def Esp32Targets(): esp32_target\",\n \"target.Extend('x86-chip-tvserver', board=AndroidBoard.X86, app=AndroidApp.CHIP_TVServer) yield target.Extend('x64-chip-tvserver', board=AndroidBoard.X64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm64-chip-tv-casting-app', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TV_CASTING_APP) yield target.Extend('arm-chip-tv-casting-app',\",\n \"Efr32Builder) board_targets = [ efr_target.Extend('brd4161a', board=Efr32Board.BRD4161A), efr_target.Extend('brd4163a', board=Efr32Board.BRD4163A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4164a', board=Efr32Board.BRD4164A).GlobBlacklist(\",\n \"'only user requested'), efr_target.Extend('brd4166a', board=Efr32Board.BRD4166A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4170a', board=Efr32Board.BRD4170A).GlobBlacklist( 'only user requested'),\",\n \"requested'), efr_target.Extend('brd4304a', board=Efr32Board.BRD4304A).GlobBlacklist( 'only user requested') ] builder = VariantBuilder() for board_target in\",\n \"app=HostApp.THERMOSTAT)) app_targets.append(target.Extend('minmdns', app=HostApp.MIN_MDNS)) app_targets.append(target.Extend('light', app=HostApp.LIGHT)) app_targets.append(target.Extend('lock', app=HostApp.LOCK)) app_targets.append(target.Extend('shell', app=HostApp.SHELL)) app_targets.append(target.Extend( 'ota-provider', app=HostApp.OTA_PROVIDER, enable_ble=False))\",\n \"'ota-requestor', app=HostApp.OTA_REQUESTOR, enable_ble=False)) app_targets.append(target.Extend('python-bindings', app=HostApp.PYTHON_BINDINGS)) builder = VariantBuilder() # Possible build variants. Note\",\n \"NrfConnectBuilder) yield target.Extend('native-posix-64-tests', board=NrfBoard.NATIVE_POSIX_64, app=NrfApp.UNIT_TESTS) targets = [ target.Extend('nrf5340dk', board=NrfBoard.NRF5340DK), target.Extend('nrf52840dk', board=NrfBoard.NRF52840DK), ]\",\n \"app=HostApp.NL_TEST_RUNNER)) for target in targets: app_targets.append(target.Extend( 'all-clusters', app=HostApp.ALL_CLUSTERS)) if (HostBoard.NATIVE.PlatformName() == 'darwin'): app_targets.append(target.Extend(\",\n \"app_targets.append(target.Extend('thermostat', app=HostApp.THERMOSTAT)) app_targets.append(target.Extend('minmdns', app=HostApp.MIN_MDNS)) app_targets.append(target.Extend('light', app=HostApp.LIGHT)) app_targets.append(target.Extend('lock', app=HostApp.LOCK)) app_targets.append(target.Extend('shell', app=HostApp.SHELL)) app_targets.append(target.Extend( 'ota-provider', app=HostApp.OTA_PROVIDER,\",\n \"return True return False def AllRequirementsMet(items: List[BuildVariant]) -> bool: \\\"\\\"\\\" Check that item.requires\",\n \"List from builders.ameba import AmebaApp, AmebaBoard, AmebaBuilder from builders.android import AndroidApp, AndroidBoard, AndroidBuilder\",\n \"are construction variants to BuildVariant. Example usage: builder.AppendVariant(name=\\\"ipv6only\\\", enable_ipv4=False) \\\"\\\"\\\" self.variants.append(BuildVariant(**args)) def AllVariants(self):\",\n \"yield target.Extend('p6-light', board=InfineonBoard.P6BOARD, app=InfineonApp.LIGHT) def AmebaTargets(): ameba_target = Target('ameba', AmebaBuilder) yield ameba_target.Extend('amebad-all-clusters', board=AmebaBoard.AMEBAD,\",\n \"app=Esp32App.ALL_CLUSTERS) yield esp32_target.Extend('m5stack-all-clusters-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield esp32_target.Extend('m5stack-all-clusters-rpc', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True) yield esp32_target.Extend('m5stack-all-clusters-rpc-ipv6only',\",\n \"disable_ble=True, se05x=True).GlobBlacklist(\\\"Only on demand build\\\") yield target.Extend('light-release-no-ota', app=K32WApp.LIGHT, tokenizer=True, disable_ota=True, release=True) yield target.Extend('shell-release',\",\n \"target.Extend('androidstudio-arm-chip-tool', board=AndroidBoard.AndroidStudio_ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-arm64-chip-tool', board=AndroidBoard.AndroidStudio_ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x86-chip-tool', board=AndroidBoard.AndroidStudio_X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x64-chip-tool',\",\n \"# x64 linux supports cross compile cross_compile = (HostBoard.NATIVE.PlatformName() == 'linux') and (HostBoard.NATIVE.BoardName()\",\n \"yield esp32_target.Extend('m5stack-all-clusters', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS) yield esp32_target.Extend('m5stack-all-clusters-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield esp32_target.Extend('m5stack-all-clusters-rpc', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS,\",\n \"**kargs): \\\"\\\"\\\"Creates a clone of the current object extending its build parameters. Arguments:\",\n \"'only user requested'), efr_target.Extend('brd4187a', board=Efr32Board.BRD4187A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4304a', board=Efr32Board.BRD4304A).GlobBlacklist( 'only user requested')\",\n \"app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True).GlobBlacklist(\\\"Reduce default build variants\\\") yield target_native.Extend('address-resolve-tool-platform-mdns-ipv6only', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True, enable_ipv4=False).GlobBlacklist(\\\"Reduce default build variants\\\")\",\n \"esp32_target.Extend('qemu-tests', board=Esp32Board.QEMU, app=Esp32App.TESTS) def Efr32Targets(): efr_target = Target('efr32', Efr32Builder) board_targets = [ efr_target.Extend('brd4161a',\",\n \"be created - no conflicts variant_target = target.Clone() for option in subgroup: variant_target\",\n \"Efr32Builder from builders.esp32 import Esp32App, Esp32Board, Esp32Builder from builders.host import HostApp, HostBoard, HostBuilder\",\n \"on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,\",\n \"needed to produce the new build variant \\\"\\\"\\\" clone = self.Clone() clone.name +=\",\n \"= Target('infineon', InfineonBuilder) yield target.Extend('p6-lock', board=InfineonBoard.P6BOARD, app=InfineonApp.LOCK) yield target.Extend('p6-all-clusters', board=InfineonBoard.P6BOARD, app=InfineonApp.ALL_CLUSTERS) yield target.Extend('p6-light',\",\n \"'Compile failure due to pw_build args not forwarded to proto compiler. ' 'https://pigweed-review.googlesource.com/c/pigweed/pigweed/+/66760')\",\n \"import QpgApp, QpgBoard, QpgBuilder from builders.telink import TelinkApp, TelinkBoard, TelinkBuilder from builders.tizen import\",\n \"purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') yield target.Extend('debug', profile=MbedProfile.DEBUG).GlobBlacklist( 'Compile only for debugging purpose -\",\n \"efr_target = Target('efr32', Efr32Builder) board_targets = [ efr_target.Extend('brd4161a', board=Efr32Board.BRD4161A), efr_target.Extend('brd4163a', board=Efr32Board.BRD4163A).GlobBlacklist( 'only user\",\n \"HostBoard.ARM64.BoardName()) if cross_compile: targets.append(target.Extend('arm64', board=HostBoard.ARM64)) app_targets = [] # Don't cross compile some\",\n \"from builders.telink import TelinkApp, TelinkBoard, TelinkBuilder from builders.tizen import TizenApp, TizenBoard, TizenBuilder from\",\n \"# Simple targets added one by one ALL.append(Target('telink-tlsr9518adk80d-light', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.LIGHT)) ALL.append(Target('telink-tlsr9518adk80d-light-switch', TelinkBuilder,\",\n \"# because libreadline is not part of the default sysroot yield target.GlobBlacklist('Arm crosscompile\",\n \"**kargs: arguments needed to produce the new build variant \\\"\\\"\\\" clone = self.Clone()\",\n \"possible variant for variant_count in range(1, len(ok_variants) + 1): for subgroup in combinations(ok_variants,\",\n \"builders.telink import TelinkApp, TelinkBoard, TelinkBuilder from builders.tizen import TizenApp, TizenBoard, TizenBuilder from builders.bl602\",\n \"name self.builder_class = builder_class self.glob_blacklist_reason = None self.create_kw_args = kwargs def Clone(self): \\\"\\\"\\\"Creates\",\n \"clone.glob_blacklist_reason += reason else: clone.glob_blacklist_reason = reason return clone @property def IsGlobBlacklisted(self): return\",\n \"builder.AppendVariant(name=\\\"no-interactive\\\", validator=AcceptNameWithSubstrings( ['-chip-tool']), interactive_mode=False), builder.AppendVariant(name=\\\"ipv6only\\\", enable_ipv4=False), builder.AppendVariant(name=\\\"no-ble\\\", enable_ble=False), builder.AppendVariant(name=\\\"no-wifi\\\", enable_wifi=False), builder.AppendVariant(name=\\\"tsan\\\", conflicts=['asan'], use_tsan=True),\",\n \"the given targets. Handles conflict resolution between build variants and globbing whitelist targets.\",\n \"args not forwarded to proto compiler. ' 'https://pigweed-review.googlesource.com/c/pigweed/pigweed/+/66760') yield rpc def AndroidTargets(): target\",\n \"def AndroidTargets(): target = Target('android', AndroidBuilder) yield target.Extend('arm-chip-tool', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tool', board=AndroidBoard.ARM64,\",\n \"default build variants\\\") test_target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) for board in [HostBoard.NATIVE, HostBoard.FAKE]: yield\",\n \"See the License for the specific language governing permissions and # limitations under\",\n \"(c) 2021 Project CHIP Authors # # Licensed under the Apache License, Version\",\n \"yield target.Extend('shell', board=QpgBoard.QPG6105, app=QpgApp.SHELL) yield target.Extend('persistent-storage', board=QpgBoard.QPG6105, app=QpgApp.PERSISTENT_STORAGE) def TizenTargets(): # Possible build\",\n \"] builder = VariantBuilder() for board_target in board_targets: builder.targets.append(board_target.Extend( 'window-covering', app=Efr32App.WINDOW_COVERING)) builder.targets.append(board_target.Extend( 'switch',\",\n \"from builders.android import AndroidApp, AndroidBoard, AndroidBuilder from builders.cc13x2x7_26x2x7 import cc13x2x7_26x2x7App, cc13x2x7_26x2x7Builder from builders.cyw30739\",\n \"for globs name = '-'.join([o.name for o in subgroup]) if name not in\",\n \"QpgApp, QpgBoard, QpgBuilder from builders.telink import TelinkApp, TelinkBoard, TelinkBuilder from builders.tizen import TizenApp,\",\n \"builder.targets.append(board_target.Extend( 'window-covering', app=Efr32App.WINDOW_COVERING)) builder.targets.append(board_target.Extend( 'switch', app=Efr32App.SWITCH)) builder.targets.append(board_target.Extend( 'unit-test', app=Efr32App.UNIT_TEST)) builder.targets.append( board_target.Extend('light', app=Efr32App.LIGHT)) builder.targets.append(board_target.Extend('lock',\",\n \"to the clone name **kargs: arguments needed to produce the new build variant\",\n \"# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in\",\n \"= buildargs self.requires = requires def HasConflicts(items: List[BuildVariant]) -> bool: for a, b\",\n \"HostBuilder) for board in [HostBoard.NATIVE, HostBoard.FAKE]: yield test_target.Extend(board.BoardName() + '-tests', board=board, app=HostApp.TESTS) def\",\n \"app=HostApp.CHIP_TOOL_DARWIN)) app_targets.append(target.Extend('chip-tool', app=HostApp.CHIP_TOOL)) app_targets.append(target.Extend('thermostat', app=HostApp.THERMOSTAT)) app_targets.append(target.Extend('minmdns', app=HostApp.MIN_MDNS)) app_targets.append(target.Extend('light', app=HostApp.LIGHT)) app_targets.append(target.Extend('lock', app=HostApp.LOCK)) app_targets.append(target.Extend('shell', app=HostApp.SHELL))\",\n \"if not AllRequirementsMet(subgroup): continue # Target ready to be created - no conflicts\",\n \"variant_target def HostTargets(): target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) target_native = target.Extend(HostBoard.NATIVE.BoardName(), board=HostBoard.NATIVE) targets =\",\n \"app=AndroidApp.CHIP_TVServer) yield target.Extend('x64-chip-tvserver', board=AndroidBoard.X64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm64-chip-tv-casting-app', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TV_CASTING_APP) yield target.Extend('arm-chip-tv-casting-app', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TV_CASTING_APP)\",\n \"app_targets.append( target_native.Extend('rpc-console', app=HostApp.RPC_CONSOLE)) app_targets.append( target_native.Extend('tv-app', app=HostApp.TV_APP)) app_targets.append( target_native.Extend('tv-casting-app', app=HostApp.TV_CASTING_APP)) app_targets.append( target_native.Extend('nl-test-runner', app=HostApp.NL_TEST_RUNNER)) for\",\n \"TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.LIGHT)) ALL.append(Target('telink-tlsr9518adk80d-light-switch', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.SWITCH)) # have a consistent order overall\",\n \"builder.targets.append(target) for target in builder.AllVariants(): if cross_compile and 'chip-tool' in target.name and 'arm64'\",\n \"Only a few are whitelisted for globs name = '-'.join([o.name for o in\",\n \"def Create(self, runner, repository_path: str, output_prefix: str, enable_flashbundle: bool): builder = self.builder_class( repository_path,\",\n \"enable_ipv4=False).GlobBlacklist(\\\"Reduce default build variants\\\") test_target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) for board in [HostBoard.NATIVE, HostBoard.FAKE]:\",\n \"produce the new build variant \\\"\\\"\\\" clone = self.Clone() clone.name += \\\"-\\\" +\",\n \"class VariantBuilder: \\\"\\\"\\\"Handles creating multiple build variants based on a starting target. \\\"\\\"\\\"\",\n \"in targets: app_targets.append(target.Extend( 'all-clusters', app=HostApp.ALL_CLUSTERS)) if (HostBoard.NATIVE.PlatformName() == 'darwin'): app_targets.append(target.Extend( 'chip-tool-darwin', app=HostApp.CHIP_TOOL_DARWIN)) app_targets.append(target.Extend('chip-tool',\",\n \"for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') yield target.Extend('debug', profile=MbedProfile.DEBUG).GlobBlacklist( 'Compile only for debugging\",\n \"app=AmebaApp.PIGWEED) def K32WTargets(): target = Target('k32w', K32WBuilder) yield target.Extend('light-ota-se', app=K32WApp.LIGHT, release=True, disable_ble=True, se05x=True).GlobBlacklist(\\\"Only\",\n \"for this target ok_variants = [ v for v in self.variants if v.validator.Accept(target.name)]\",\n \"for target in targets: yield target.Extend('all-clusters', app=NrfApp.ALL_CLUSTERS) yield target.Extend('lock', app=NrfApp.LOCK) yield target.Extend('light', app=NrfApp.LIGHT)\",\n \"compile by default on arm cross compiles # because libreadline is not part\",\n \"QorvoTargets(): target = Target('qpg', QpgBuilder) yield target.Extend('lock', board=QpgBoard.QPG6105, app=QpgApp.LOCK) yield target.Extend('light', board=QpgBoard.QPG6105, app=QpgApp.LIGHT)\",\n \"subgroup in combinations(ok_variants, variant_count): if HasConflicts(subgroup): continue if not AllRequirementsMet(subgroup): continue # Target\",\n \"= [ v for v in self.variants if v.validator.Accept(target.name)] # Build every possible\",\n \"# You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0\",\n \"and 'chip-tool' in target.name and 'arm64' in target.name and '-no-interactive' not in target.name:\",\n \"[] for target in targets: app_targets.append(target.Extend('lock', app=MbedApp.LOCK)) app_targets.append(target.Extend('light', app=MbedApp.LIGHT)) app_targets.append(target.Extend( 'all-clusters', app=MbedApp.ALL_CLUSTERS)) app_targets.append(target.Extend('pigweed',\",\n \"'darwin'): app_targets.append(target.Extend( 'chip-tool-darwin', app=HostApp.CHIP_TOOL_DARWIN)) app_targets.append(target.Extend('chip-tool', app=HostApp.CHIP_TOOL)) app_targets.append(target.Extend('thermostat', app=HostApp.THERMOSTAT)) app_targets.append(target.Extend('minmdns', app=HostApp.MIN_MDNS)) app_targets.append(target.Extend('light', app=HostApp.LIGHT)) app_targets.append(target.Extend('lock',\",\n \"Bl602Board, Bl602Builder from builders.imx import IMXApp, IMXBuilder class Target: \\\"\\\"\\\"Represents a build target:\",\n \"variant_target.GlobBlacklist( 'Reduce default build variants') yield variant_target def HostTargets(): target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder)\",\n \"class Target: \\\"\\\"\\\"Represents a build target: Has a name identifier plus parameters on\",\n \"of XIP flash space\\\") yield Target('cyw30739-cyw930739m2evb_01-ota-requestor-no-progress-logging', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR, progress_logging=False) def QorvoTargets(): target\",\n \"so variants are generally glob-blacklisted. \\\"\\\"\\\" self.glob_whitelist.append(name) def AppendVariant(self, **args): \\\"\\\"\\\" Add another\",\n \"target.Extend('light', board=QpgBoard.QPG6105, app=QpgApp.LIGHT) yield target.Extend('shell', board=QpgBoard.QPG6105, app=QpgApp.SHELL) yield target.Extend('persistent-storage', board=QpgBoard.QPG6105, app=QpgApp.PERSISTENT_STORAGE) def TizenTargets():\",\n \"is exponential here. builder = VariantBuilder() builder.AppendVariant(name=\\\"no-ble\\\", enable_ble=False) builder.AppendVariant(name=\\\"no-wifi\\\", enable_wifi=False) builder.AppendVariant(name=\\\"asan\\\", use_asan=True) target\",\n \"__init__(self, name, builder_class, **kwargs): self.name = name self.builder_class = builder_class self.glob_blacklist_reason = None\",\n \"2): if (a.name in b.conflicts) or (b.name in a.conflicts): return True return False\",\n \"v in self.variants if v.validator.Accept(target.name)] # Build every possible variant for variant_count in\",\n \"enable_rpcs=True) if '-nrf5340dk-' in rpc.name: rpc = rpc.GlobBlacklist( 'Compile failure due to pw_build\",\n \"return clone @property def IsGlobBlacklisted(self): return self.glob_blacklist_reason is not None @property def GlobBlacklistReason(self):\",\n \"and lighting app only yield target.Extend('nrf52840dongle-all-clusters', board=NrfBoard.NRF52840DONGLE, app=NrfApp.ALL_CLUSTERS) yield target.Extend('nrf52840dongle-light', board=NrfBoard.NRF52840DONGLE, app=NrfApp.LIGHT) for\",\n \"= self.name builder.output_dir = os.path.join(output_prefix, self.name) builder.enable_flashbundle(enable_flashbundle) return builder def GlobBlacklist(self, reason): clone\",\n \"HasConflicts(items: List[BuildVariant]) -> bool: for a, b in combinations(items, 2): if (a.name in\",\n \"yield target.Extend('lock-release', app=K32WApp.LOCK, release=True) yield target.Extend('lock-low-power-release', app=K32WApp.LOCK, low_power=True, release=True).GlobBlacklist(\\\"Only on demand build\\\") def\",\n \"in items: for requirement in item.requires: if requirement not in available: return False\",\n \"QorvoTargets(), TizenTargets(), Bl602Targets(), IMXTargets(), ] for generator in target_generators: for target in generator:\",\n \"target_native.Extend('address-resolve-tool', app=HostApp.ADDRESS_RESOLVE) yield target_native.Extend('address-resolve-tool-clang', app=HostApp.ADDRESS_RESOLVE, use_clang=True).GlobBlacklist(\\\"Reduce default build variants\\\") yield target_native.Extend('address-resolve-tool-platform-mdns', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True).GlobBlacklist(\\\"Reduce\",\n \"K32WBuilder) yield target.Extend('light-ota-se', app=K32WApp.LIGHT, release=True, disable_ble=True, se05x=True).GlobBlacklist(\\\"Only on demand build\\\") yield target.Extend('light-release-no-ota', app=K32WApp.LIGHT,\",\n \"of the current object extending its build parameters. Arguments: suffix: appended with a\",\n \"target.Extend('persistent-storage', board=QpgBoard.QPG6105, app=QpgApp.PERSISTENT_STORAGE) def TizenTargets(): # Possible build variants. # NOTE: The number\",\n \"self.variants = [] self.glob_whitelist = [] def WhitelistVariantNameForGlob(self, name): \\\"\\\"\\\" Whitelist the specified\",\n \"= [ target.Extend('CY8CPROTO_062_4343W', board=MbedBoard.CY8CPROTO_062_4343W), ] app_targets = [] for target in targets: app_targets.append(target.Extend('lock',\",\n \"self builder.identifier = self.name builder.output_dir = os.path.join(output_prefix, self.name) builder.enable_flashbundle(enable_flashbundle) return builder def GlobBlacklist(self,\",\n \"app=NrfApp.ALL_CLUSTERS) yield target.Extend('lock', app=NrfApp.LOCK) yield target.Extend('light', app=NrfApp.LIGHT) yield target.Extend('shell', app=NrfApp.SHELL) yield target.Extend('pump', app=NrfApp.PUMP)\",\n \"builder.AppendVariant(name=\\\"no-wifi\\\", enable_wifi=False), builder.AppendVariant(name=\\\"tsan\\\", conflicts=['asan'], use_tsan=True), builder.AppendVariant(name=\\\"asan\\\", conflicts=['tsan'], use_asan=True), builder.AppendVariant(name=\\\"libfuzzer\\\", requires=[ \\\"clang\\\"], use_libfuzzer=True), builder.AppendVariant(name=\\\"clang\\\",\",\n \"yield target_native.Extend('address-resolve-tool-platform-mdns', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True).GlobBlacklist(\\\"Reduce default build variants\\\") yield target_native.Extend('address-resolve-tool-platform-mdns-ipv6only', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True, enable_ipv4=False).GlobBlacklist(\\\"Reduce default\",\n \"AndroidTargets(), MbedTargets(), InfineonTargets(), AmebaTargets(), K32WTargets(), cc13x2x7_26x2x7Targets(), Cyw30739Targets(), QorvoTargets(), TizenTargets(), Bl602Targets(), IMXTargets(), ] for\",\n \"HostBoard, HostBuilder from builders.infineon import InfineonApp, InfineonBoard, InfineonBuilder from builders.k32w import K32WApp, K32WBuilder\",\n \"target.Extend('shell', app=NrfApp.SHELL) yield target.Extend('pump', app=NrfApp.PUMP) yield target.Extend('pump-controller', app=NrfApp.PUMP_CONTROLLER) rpc = target.Extend('light-rpc', app=NrfApp.LIGHT, enable_rpcs=True)\",\n \"for target in targets: app_targets.append(target.Extend('lock', app=MbedApp.LOCK)) app_targets.append(target.Extend('light', app=MbedApp.LIGHT)) app_targets.append(target.Extend( 'all-clusters', app=MbedApp.ALL_CLUSTERS)) app_targets.append(target.Extend('pigweed', app=MbedApp.PIGWEED))\",\n \"release=True) yield target.Extend('lighting-app-release', app=IMXApp.LIGHT, release=True) yield target.Extend('thermostat-release', app=IMXApp.THERMOSTAT, release=True) yield target.Extend('all-clusters-app-release', app=IMXApp.ALL_CLUSTERS, release=True)\",\n \"variant_target = target.Clone() for option in subgroup: variant_target = variant_target.Extend( option.name, **option.buildargs) #\",\n \"use_platform_mdns=True, enable_ipv4=False).GlobBlacklist(\\\"Reduce default build variants\\\") test_target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) for board in [HostBoard.NATIVE,\",\n \"in self.substr: if s in name: return True return False class BuildVariant: def\",\n \"= '-'.join([o.name for o in subgroup]) if name not in self.glob_whitelist: if not\",\n \"self.builder_class, **self.create_kw_args.copy()) clone.glob_blacklist_reason = self.glob_blacklist_reason return clone def Extend(self, suffix, **kargs): \\\"\\\"\\\"Creates a\",\n \"validator=AcceptNameWithSubstrings( ['-chip-tool']), interactive_mode=False), builder.AppendVariant(name=\\\"ipv6only\\\", enable_ipv4=False), builder.AppendVariant(name=\\\"no-ble\\\", enable_ble=False), builder.AppendVariant(name=\\\"no-wifi\\\", enable_wifi=False), builder.AppendVariant(name=\\\"tsan\\\", conflicts=['asan'], use_tsan=True), builder.AppendVariant(name=\\\"asan\\\",\",\n \"import combinations from typing import List from builders.ameba import AmebaApp, AmebaBoard, AmebaBuilder from\",\n \"validator=AcceptNameWithSubstrings( ['-light', '-lock']), enable_rpcs=True) builder.AppendVariant(name=\\\"with-ota-requestor\\\", enable_ota_requestor=True) builder.WhitelistVariantNameForGlob('rpc') for target in builder.AllVariants(): yield target\",\n \"KIND, either express or implied. # See the License for the specific language\",\n \"else: builder.targets.append(target) for target in builder.AllVariants(): if cross_compile and 'chip-tool' in target.name and\",\n \"number of potential builds is exponential here. builder = VariantBuilder() builder.AppendVariant(name=\\\"no-ble\\\", enable_ble=False) builder.AppendVariant(name=\\\"no-wifi\\\",\",\n \"\\\"\\\"\\\" def __init__(self, targets: List[Target] = []): # note the clone in case\",\n \"'-lock']), enable_rpcs=True) builder.AppendVariant(name=\\\"with-ota-requestor\\\", enable_ota_requestor=True) builder.WhitelistVariantNameForGlob('rpc') for target in builder.AllVariants(): yield target def NrfTargets():\",\n \"return clone def Create(self, runner, repository_path: str, output_prefix: str, enable_flashbundle: bool): builder =\",\n \"[ efr_target.Extend('brd4161a', board=Efr32Board.BRD4161A), efr_target.Extend('brd4163a', board=Efr32Board.BRD4163A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4164a', board=Efr32Board.BRD4164A).GlobBlacklist( 'only user requested'),\",\n \"True return False class BuildVariant: def __init__(self, name: str, validator=AcceptAnyName(), conflicts: List[str] =\",\n \"cc13x2x7_26x2x7Targets(): target = Target('cc13x2x7_26x2x7', cc13x2x7_26x2x7Builder) yield target.Extend('lock-ftd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=True) yield target.Extend('lock-mtd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=False)\",\n \"what arguments are required to produce the specified build) \\\"\\\"\\\" def __init__(self, name,\",\n \"target in generator: ALL.append(target) # Simple targets added one by one ALL.append(Target('telink-tlsr9518adk80d-light', TelinkBuilder,\",\n \"import Cyw30739App, Cyw30739Board, Cyw30739Builder from builders.efr32 import Efr32App, Efr32Board, Efr32Builder from builders.esp32 import\",\n \"else: clone.glob_blacklist_reason = reason return clone @property def IsGlobBlacklisted(self): return self.glob_blacklist_reason is not\",\n \"target.Extend(HostBoard.NATIVE.BoardName(), board=HostBoard.NATIVE) targets = [target_native] # x64 linux supports cross compile cross_compile =\",\n \"+= \\\"-\\\" + suffix clone.create_kw_args.update(kargs) return clone def Create(self, runner, repository_path: str, output_prefix:\",\n \"variant_target.IsGlobBlacklisted: variant_target = variant_target.GlobBlacklist( 'Reduce default build variants') yield variant_target def HostTargets(): target\",\n \"app_targets.append(target.Extend('pigweed', app=MbedApp.PIGWEED)) app_targets.append(target.Extend('shell', app=MbedApp.SHELL)) for target in app_targets: yield target.Extend('release', profile=MbedProfile.RELEASE) yield target.Extend('develop',\",\n \"app=AndroidApp.CHIP_TV_CASTING_APP) def MbedTargets(): target = Target('mbed', MbedBuilder) targets = [ target.Extend('CY8CPROTO_062_4343W', board=MbedBoard.CY8CPROTO_062_4343W), ]\",\n \"'all-clusters', app=MbedApp.ALL_CLUSTERS)) app_targets.append(target.Extend('pigweed', app=MbedApp.PIGWEED)) app_targets.append(target.Extend('shell', app=MbedApp.SHELL)) for target in app_targets: yield target.Extend('release', profile=MbedProfile.RELEASE)\",\n \"= validator self.conflicts = conflicts self.buildargs = buildargs self.requires = requires def HasConflicts(items:\",\n \"test_target.Extend(board.BoardName() + '-tests', board=board, app=HostApp.TESTS) def Esp32Targets(): esp32_target = Target('esp32', Esp32Builder) yield esp32_target.Extend('m5stack-all-clusters',\",\n \"for item in items]) for item in items: for requirement in item.requires: if\",\n \"target = Target('mbed', MbedBuilder) targets = [ target.Extend('CY8CPROTO_062_4343W', board=MbedBoard.CY8CPROTO_062_4343W), ] app_targets = []\",\n \"allowed for globbing. By default we do not want a 'build all' to\",\n \"app=K32WApp.LOCK, low_power=True, release=True).GlobBlacklist(\\\"Only on demand build\\\") def cc13x2x7_26x2x7Targets(): target = Target('cc13x2x7_26x2x7', cc13x2x7_26x2x7Builder) yield\",\n \"ANY KIND, either express or implied. # See the License for the specific\",\n \"app=K32WApp.SHELL, release=True) yield target.Extend('lock-release', app=K32WApp.LOCK, release=True) yield target.Extend('lock-low-power-release', app=K32WApp.LOCK, low_power=True, release=True).GlobBlacklist(\\\"Only on demand\",\n \"from builders.efr32 import Efr32App, Efr32Board, Efr32Builder from builders.esp32 import Esp32App, Esp32Board, Esp32Builder from\",\n \"app_targets.append( target_native.Extend('tv-app', app=HostApp.TV_APP)) app_targets.append( target_native.Extend('tv-casting-app', app=HostApp.TV_CASTING_APP)) app_targets.append( target_native.Extend('nl-test-runner', app=HostApp.NL_TEST_RUNNER)) for target in targets:\",\n \"number of potential # builds is exponential here builder.AppendVariant(name=\\\"same-event-loop\\\", validator=AcceptNameWithSubstrings( ['-chip-tool', '-chip-tool-darwin']), separate_event_loop=False),\",\n \"will not compile by default on arm cross compiles # because libreadline is\",\n \"WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See\",\n \"efr_target.Extend('brd4163a', board=Efr32Board.BRD4163A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4164a', board=Efr32Board.BRD4164A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4166a', board=Efr32Board.BRD4166A).GlobBlacklist( 'only\",\n \"app=Esp32App.LIGHT) yield devkitc.Extend('lock', app=Esp32App.LOCK) yield devkitc.Extend('bridge', app=Esp32App.BRIDGE) yield devkitc.Extend('temperature-measurement', app=Esp32App.TEMPERATURE_MEASUREMENT) yield devkitc.Extend('temperature-measurement-rpc', app=Esp32App.TEMPERATURE_MEASUREMENT,\",\n \"app=QpgApp.SHELL) yield target.Extend('persistent-storage', board=QpgBoard.QPG6105, app=QpgApp.PERSISTENT_STORAGE) def TizenTargets(): # Possible build variants. # NOTE:\",\n \"**self.create_kw_args.copy()) clone.glob_blacklist_reason = self.glob_blacklist_reason return clone def Extend(self, suffix, **kargs): \\\"\\\"\\\"Creates a clone\",\n \"\\\", \\\" clone.glob_blacklist_reason += reason else: clone.glob_blacklist_reason = reason return clone @property def\",\n \"# builds is exponential here builder.AppendVariant(name=\\\"rpc\\\", validator=AcceptNameWithSubstrings( ['-light', '-lock']), enable_rpcs=True) builder.AppendVariant(name=\\\"with-ota-requestor\\\", enable_ota_requestor=True) builder.WhitelistVariantNameForGlob('rpc')\",\n \"for target in builder.AllVariants(): yield target def Bl602Targets(): target = Target('bl602', Bl602Builder) yield\",\n \"yield target.Extend('lighting-app', app=IMXApp.LIGHT) yield target.Extend('thermostat', app=IMXApp.THERMOSTAT) yield target.Extend('all-clusters-app', app=IMXApp.ALL_CLUSTERS) yield target.Extend('ota-provider-app', app=IMXApp.OTA_PROVIDER) yield\",\n \"MbedBoard, MbedBuilder, MbedProfile from builders.nrf import NrfApp, NrfBoard, NrfConnectBuilder from builders.qpg import QpgApp,\",\n \"user requested'), efr_target.Extend('brd4170a', board=Efr32Board.BRD4170A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4186a', board=Efr32Board.BRD4186A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4187a',\",\n \"builders.infineon import InfineonApp, InfineonBoard, InfineonBuilder from builders.k32w import K32WApp, K32WBuilder from builders.mbed import\",\n \"no conflicts variant_target = target.Clone() for option in subgroup: variant_target = variant_target.Extend( option.name,\",\n \"yield esp32_target.Extend('qemu-tests', board=Esp32Board.QEMU, app=Esp32App.TESTS) def Efr32Targets(): efr_target = Target('efr32', Efr32Builder) board_targets = [\",\n \"app=cc13x2x7_26x2x7App.SHELL) def Cyw30739Targets(): yield Target('cyw30739-cyw930739m2evb_01-light', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LIGHT) yield Target('cyw30739-cyw930739m2evb_01-lock', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LOCK)\",\n \"board=AmebaBoard.AMEBAD, app=AmebaApp.ALL_CLUSTERS) yield ameba_target.Extend('amebad-light', board=AmebaBoard.AMEBAD, app=AmebaApp.LIGHT) yield ameba_target.Extend('amebad-pigweed', board=AmebaBoard.AMEBAD, app=AmebaApp.PIGWEED) def K32WTargets(): target\",\n \"devkitc.Extend('lock', app=Esp32App.LOCK) yield devkitc.Extend('bridge', app=Esp32App.BRIDGE) yield devkitc.Extend('temperature-measurement', app=Esp32App.TEMPERATURE_MEASUREMENT) yield devkitc.Extend('temperature-measurement-rpc', app=Esp32App.TEMPERATURE_MEASUREMENT, enable_rpcs=True) yield\",\n \"Target('ameba', AmebaBuilder) yield ameba_target.Extend('amebad-all-clusters', board=AmebaBoard.AMEBAD, app=AmebaApp.ALL_CLUSTERS) yield ameba_target.Extend('amebad-light', board=AmebaBoard.AMEBAD, app=AmebaApp.LIGHT) yield ameba_target.Extend('amebad-pigweed', board=AmebaBoard.AMEBAD,\",\n \"target def NrfTargets(): target = Target('nrf', NrfConnectBuilder) yield target.Extend('native-posix-64-tests', board=NrfBoard.NATIVE_POSIX_64, app=NrfApp.UNIT_TESTS) targets =\",\n \"yield devkitc.Extend('shell', app=Esp32App.SHELL) yield devkitc.Extend('light', app=Esp32App.LIGHT) yield devkitc.Extend('lock', app=Esp32App.LOCK) yield devkitc.Extend('bridge', app=Esp32App.BRIDGE) yield\",\n \"= self.builder_class( repository_path, runner=runner, **self.create_kw_args) builder.target = self builder.identifier = self.name builder.output_dir =\",\n \"app=cc13x2x7_26x2x7App.PUMP_CONTROLLER) yield target.Extend('all-clusters', app=cc13x2x7_26x2x7App.ALL_CLUSTERS) yield target.Extend('shell', app=cc13x2x7_26x2x7App.SHELL) def Cyw30739Targets(): yield Target('cyw30739-cyw930739m2evb_01-light', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01,\",\n \"builds is exponential here builder.AppendVariant(name=\\\"rpc\\\", validator=AcceptNameWithSubstrings( ['-light', '-lock']), enable_rpcs=True) builder.AppendVariant(name=\\\"with-ota-requestor\\\", enable_ota_requestor=True) builder.WhitelistVariantNameForGlob('rpc') for\",\n \"self.glob_blacklist_reason return clone def Extend(self, suffix, **kargs): \\\"\\\"\\\"Creates a clone of the current\",\n \"whitelist targets. \\\"\\\"\\\" for target in self.targets: yield target # skip variants that\",\n \"Without extra build variants yield target_native.Extend('chip-cert', app=HostApp.CERT_TOOL) yield target_native.Extend('address-resolve-tool', app=HostApp.ADDRESS_RESOLVE) yield target_native.Extend('address-resolve-tool-clang', app=HostApp.ADDRESS_RESOLVE,\",\n \"added one by one ALL.append(Target('telink-tlsr9518adk80d-light', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.LIGHT)) ALL.append(Target('telink-tlsr9518adk80d-light-switch', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.SWITCH)) #\",\n \"multiple build variants based on a starting target. \\\"\\\"\\\" def __init__(self, targets: List[Target]\",\n \"for target in app_targets: yield target.Extend('release', profile=MbedProfile.RELEASE) yield target.Extend('develop', profile=MbedProfile.DEVELOP).GlobBlacklist( 'Compile only for\",\n \"= variant_target.GlobBlacklist( 'Reduce default build variants') yield variant_target def HostTargets(): target = Target(HostBoard.NATIVE.PlatformName(),\",\n \"def Accept(self, name: str): return True class AcceptNameWithSubstrings: def __init__(self, substr: List[str]): self.substr\",\n \"in builder.AllVariants(): yield target def NrfTargets(): target = Target('nrf', NrfConnectBuilder) yield target.Extend('native-posix-64-tests', board=NrfBoard.NATIVE_POSIX_64,\",\n \"Arguments are construction variants to BuildVariant. Example usage: builder.AppendVariant(name=\\\"ipv6only\\\", enable_ipv4=False) \\\"\\\"\\\" self.variants.append(BuildVariant(**args)) def\",\n \"board=HostBoard.ARM64)) app_targets = [] # Don't cross compile some builds app_targets.append( target_native.Extend('rpc-console', app=HostApp.RPC_CONSOLE))\",\n \"new build variant \\\"\\\"\\\" clone = self.Clone() clone.name += \\\"-\\\" + suffix clone.create_kw_args.update(kargs)\",\n \"**kwargs): self.name = name self.builder_class = builder_class self.glob_blacklist_reason = None self.create_kw_args = kwargs\",\n \"specified variant to be allowed for globbing. By default we do not want\",\n \"TizenBuilder from builders.bl602 import Bl602App, Bl602Board, Bl602Builder from builders.imx import IMXApp, IMXBuilder class\",\n \"option in subgroup: variant_target = variant_target.Extend( option.name, **option.buildargs) # Only a few are\",\n \"HostTargets(), Esp32Targets(), Efr32Targets(), NrfTargets(), AndroidTargets(), MbedTargets(), InfineonTargets(), AmebaTargets(), K32WTargets(), cc13x2x7_26x2x7Targets(), Cyw30739Targets(), QorvoTargets(), TizenTargets(),\",\n \"combinations(ok_variants, variant_count): if HasConflicts(subgroup): continue if not AllRequirementsMet(subgroup): continue # Target ready to\",\n \"range(1, len(ok_variants) + 1): for subgroup in combinations(ok_variants, variant_count): if HasConflicts(subgroup): continue if\",\n \"build variants and globbing whitelist targets. \\\"\\\"\\\" for target in self.targets: yield target\",\n \"under the License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES\",\n \"release=True) yield target.Extend('lock-low-power-release', app=K32WApp.LOCK, low_power=True, release=True).GlobBlacklist(\\\"Only on demand build\\\") def cc13x2x7_26x2x7Targets(): target =\",\n \"in case the default arg is used self.targets = targets[:] self.variants = []\",\n \"\\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express\",\n \"a \\\"-\\\" as separator to the clone name **kargs: arguments needed to produce\",\n \"self.\\\"\\\"\\\" clone = Target(self.name, self.builder_class, **self.create_kw_args.copy()) clone.glob_blacklist_reason = self.glob_blacklist_reason return clone def Extend(self,\",\n \"targets[:] self.variants = [] self.glob_whitelist = [] def WhitelistVariantNameForGlob(self, name): \\\"\\\"\\\" Whitelist the\",\n \"app=Esp32App.TESTS) def Efr32Targets(): efr_target = Target('efr32', Efr32Builder) board_targets = [ efr_target.Extend('brd4161a', board=Efr32Board.BRD4161A), efr_target.Extend('brd4163a',\",\n \"devkitc.Extend('shell', app=Esp32App.SHELL) yield devkitc.Extend('light', app=Esp32App.LIGHT) yield devkitc.Extend('lock', app=Esp32App.LOCK) yield devkitc.Extend('bridge', app=Esp32App.BRIDGE) yield devkitc.Extend('temperature-measurement',\",\n \"yield target def Bl602Targets(): target = Target('bl602', Bl602Builder) yield target.Extend('light', board=Bl602Board.BL602BOARD, app=Bl602App.LIGHT) def\",\n \"applicable law or agreed to in writing, software # distributed under the License\",\n \"yield devkitc.Extend('all-clusters-ipv6only', app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield devkitc.Extend('shell', app=Esp32App.SHELL) yield devkitc.Extend('light', app=Esp32App.LIGHT) yield devkitc.Extend('lock', app=Esp32App.LOCK)\",\n \"self.name = name self.builder_class = builder_class self.glob_blacklist_reason = None self.create_kw_args = kwargs def\",\n \"not want a 'build all' to select all variants, so variants are generally\",\n \"variants. # NOTE: The number of potential builds is exponential here. builder =\",\n \"board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR).GlobBlacklist( \\\"Running out of XIP flash space\\\") yield Target('cyw30739-cyw930739m2evb_01-ota-requestor-no-progress-logging', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR,\",\n \"esp32_target.Extend('m5stack-all-clusters', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS) yield esp32_target.Extend('m5stack-all-clusters-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield esp32_target.Extend('m5stack-all-clusters-rpc', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True)\",\n \"app=cc13x2x7_26x2x7App.PUMP) yield target.Extend('pump-controller', app=cc13x2x7_26x2x7App.PUMP_CONTROLLER) yield target.Extend('all-clusters', app=cc13x2x7_26x2x7App.ALL_CLUSTERS) yield target.Extend('shell', app=cc13x2x7_26x2x7App.SHELL) def Cyw30739Targets(): yield\",\n \"CONDITIONS OF ANY KIND, either express or implied. # See the License for\",\n \"yield target.Extend('arm-chip-tv-casting-app', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TV_CASTING_APP) def MbedTargets(): target = Target('mbed', MbedBuilder) targets = [\",\n \"release=True) yield target.Extend('ota-provider-app-release', app=IMXApp.OTA_PROVIDER, release=True) ALL = [] target_generators = [ HostTargets(), Esp32Targets(),\",\n \"import K32WApp, K32WBuilder from builders.mbed import MbedApp, MbedBoard, MbedBuilder, MbedProfile from builders.nrf import\",\n \"potential # builds is exponential here builder.AppendVariant(name=\\\"rpc\\\", validator=AcceptNameWithSubstrings( ['-light', '-lock']), enable_rpcs=True) builder.AppendVariant(name=\\\"with-ota-requestor\\\", enable_ota_requestor=True)\",\n \"all variants, so variants are generally glob-blacklisted. \\\"\\\"\\\" self.glob_whitelist.append(name) def AppendVariant(self, **args): \\\"\\\"\\\"\",\n \"QpgBoard, QpgBuilder from builders.telink import TelinkApp, TelinkBoard, TelinkBuilder from builders.tizen import TizenApp, TizenBoard,\",\n \"writing, software # distributed under the License is distributed on an \\\"AS IS\\\"\",\n \"= [] def WhitelistVariantNameForGlob(self, name): \\\"\\\"\\\" Whitelist the specified variant to be allowed\",\n \"target. \\\"\\\"\\\" def __init__(self, targets: List[Target] = []): # note the clone in\",\n \"variants. Arguments are construction variants to BuildVariant. Example usage: builder.AppendVariant(name=\\\"ipv6only\\\", enable_ipv4=False) \\\"\\\"\\\" self.variants.append(BuildVariant(**args))\",\n \"board=Esp32Board.DevKitC) yield devkitc.Extend('all-clusters', app=Esp32App.ALL_CLUSTERS) yield devkitc.Extend('all-clusters-ipv6only', app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield devkitc.Extend('shell', app=Esp32App.SHELL) yield devkitc.Extend('light',\",\n \"app_targets.append(target.Extend('python-bindings', app=HostApp.PYTHON_BINDINGS)) builder = VariantBuilder() # Possible build variants. Note that number of\",\n \"target = Target('k32w', K32WBuilder) yield target.Extend('light-ota-se', app=K32WApp.LIGHT, release=True, disable_ble=True, se05x=True).GlobBlacklist(\\\"Only on demand build\\\")\",\n \"build it (what builder class to use and what arguments are required to\",\n \"variants') yield variant_target def HostTargets(): target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) target_native = target.Extend(HostBoard.NATIVE.BoardName(), board=HostBoard.NATIVE)\",\n \"app=IMXApp.LIGHT) yield target.Extend('thermostat', app=IMXApp.THERMOSTAT) yield target.Extend('all-clusters-app', app=IMXApp.ALL_CLUSTERS) yield target.Extend('ota-provider-app', app=IMXApp.OTA_PROVIDER) yield target.Extend('chip-tool-release', app=IMXApp.CHIP_TOOL,\",\n \"Target: \\\"\\\"\\\"Represents a build target: Has a name identifier plus parameters on how\",\n \"compliance with the License. # You may obtain a copy of the License\",\n \"that item.requires is satisfied for all items in the given list \\\"\\\"\\\" available\",\n \"subgroup]) if name not in self.glob_whitelist: if not variant_target.IsGlobBlacklisted: variant_target = variant_target.GlobBlacklist( 'Reduce\",\n \"app=IMXApp.CHIP_TOOL, release=True) yield target.Extend('lighting-app-release', app=IMXApp.LIGHT, release=True) yield target.Extend('thermostat-release', app=IMXApp.THERMOSTAT, release=True) yield target.Extend('all-clusters-app-release', app=IMXApp.ALL_CLUSTERS,\",\n \"created - no conflicts variant_target = target.Clone() for option in subgroup: variant_target =\",\n \"target.Extend('lock', board=QpgBoard.QPG6105, app=QpgApp.LOCK) yield target.Extend('light', board=QpgBoard.QPG6105, app=QpgApp.LIGHT) yield target.Extend('shell', board=QpgBoard.QPG6105, app=QpgApp.SHELL) yield target.Extend('persistent-storage',\",\n \"if (HostBoard.NATIVE.PlatformName() == 'darwin'): app_targets.append(target.Extend( 'chip-tool-darwin', app=HostApp.CHIP_TOOL_DARWIN)) app_targets.append(target.Extend('chip-tool', app=HostApp.CHIP_TOOL)) app_targets.append(target.Extend('thermostat', app=HostApp.THERMOSTAT)) app_targets.append(target.Extend('minmdns', app=HostApp.MIN_MDNS))\",\n \"board_target in board_targets: builder.targets.append(board_target.Extend( 'window-covering', app=Efr32App.WINDOW_COVERING)) builder.targets.append(board_target.Extend( 'switch', app=Efr32App.SWITCH)) builder.targets.append(board_target.Extend( 'unit-test', app=Efr32App.UNIT_TEST)) builder.targets.append(\",\n \"set([item.name for item in items]) for item in items: for requirement in item.requires:\",\n \"target.Extend('arm-chip-tv-casting-app', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TV_CASTING_APP) def MbedTargets(): target = Target('mbed', MbedBuilder) targets = [ target.Extend('CY8CPROTO_062_4343W',\",\n \"compiles # because libreadline is not part of the default sysroot yield target.GlobBlacklist('Arm\",\n \"Note that number of potential # builds is exponential here builder.AppendVariant(name=\\\"rpc\\\", validator=AcceptNameWithSubstrings( ['-light',\",\n \"('nl-test-runner' in target.name): # Single-variant builds yield target else: builder.targets.append(target) for target in\",\n \"item in items]) for item in items: for requirement in item.requires: if requirement\",\n \"for the specific language governing permissions and # limitations under the License. import\",\n \"not variant_target.IsGlobBlacklisted: variant_target = variant_target.GlobBlacklist( 'Reduce default build variants') yield variant_target def HostTargets():\",\n \"\\\"-\\\" as separator to the clone name **kargs: arguments needed to produce the\",\n \"self.substr = substr def Accept(self, name: str): for s in self.substr: if s\",\n \"this target ok_variants = [ v for v in self.variants if v.validator.Accept(target.name)] #\",\n \"' 'https://pigweed-review.googlesource.com/c/pigweed/pigweed/+/66760') yield rpc def AndroidTargets(): target = Target('android', AndroidBuilder) yield target.Extend('arm-chip-tool', board=AndroidBoard.ARM,\",\n \"a few are whitelisted for globs name = '-'.join([o.name for o in subgroup])\",\n \"'-no-interactive' not in target.name: # Interactive builds will not compile by default on\",\n \"for all-clusters and lighting app only yield target.Extend('nrf52840dongle-all-clusters', board=NrfBoard.NRF52840DONGLE, app=NrfApp.ALL_CLUSTERS) yield target.Extend('nrf52840dongle-light', board=NrfBoard.NRF52840DONGLE,\",\n \"from builders.cc13x2x7_26x2x7 import cc13x2x7_26x2x7App, cc13x2x7_26x2x7Builder from builders.cyw30739 import Cyw30739App, Cyw30739Board, Cyw30739Builder from builders.efr32\",\n \"= target.Extend('light-rpc', app=NrfApp.LIGHT, enable_rpcs=True) if '-nrf5340dk-' in rpc.name: rpc = rpc.GlobBlacklist( 'Compile failure\",\n \"app=HostApp.ADDRESS_RESOLVE, use_clang=True).GlobBlacklist(\\\"Reduce default build variants\\\") yield target_native.Extend('address-resolve-tool-platform-mdns', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True).GlobBlacklist(\\\"Reduce default build variants\\\") yield\",\n \"esp32_target.Extend('c3devkit-all-clusters', board=Esp32Board.C3DevKit, app=Esp32App.ALL_CLUSTERS) devkitc = esp32_target.Extend('devkitc', board=Esp32Board.DevKitC) yield devkitc.Extend('all-clusters', app=Esp32App.ALL_CLUSTERS) yield devkitc.Extend('all-clusters-ipv6only', app=Esp32App.ALL_CLUSTERS,\",\n \"target = Target('nrf', NrfConnectBuilder) yield target.Extend('native-posix-64-tests', board=NrfBoard.NATIVE_POSIX_64, app=NrfApp.UNIT_TESTS) targets = [ target.Extend('nrf5340dk', board=NrfBoard.NRF5340DK),\",\n \"builders.bl602 import Bl602App, Bl602Board, Bl602Builder from builders.imx import IMXApp, IMXBuilder class Target: \\\"\\\"\\\"Represents\",\n \"clone.glob_blacklist_reason = reason return clone @property def IsGlobBlacklisted(self): return self.glob_blacklist_reason is not None\",\n \"the specified variant to be allowed for globbing. By default we do not\",\n \"if '-nrf5340dk-' in rpc.name: rpc = rpc.GlobBlacklist( 'Compile failure due to pw_build args\",\n \"target # skip variants that do not work for this target ok_variants =\",\n \"on demand build\\\") yield target.Extend('light-release-no-ota', app=K32WApp.LIGHT, tokenizer=True, disable_ota=True, release=True) yield target.Extend('shell-release', app=K32WApp.SHELL, release=True)\",\n \"builder def GlobBlacklist(self, reason): clone = self.Clone() if clone.glob_blacklist_reason: clone.glob_blacklist_reason += \\\", \\\"\",\n \"GlobBlacklistReason(self): return self.glob_blacklist_reason class AcceptAnyName: def Accept(self, name: str): return True class AcceptNameWithSubstrings:\",\n \"Build every possible variant for variant_count in range(1, len(ok_variants) + 1): for subgroup\",\n \"yield ameba_target.Extend('amebad-light', board=AmebaBoard.AMEBAD, app=AmebaApp.LIGHT) yield ameba_target.Extend('amebad-pigweed', board=AmebaBoard.AMEBAD, app=AmebaApp.PIGWEED) def K32WTargets(): target = Target('k32w',\",\n \"targets: app_targets.append(target.Extend('lock', app=MbedApp.LOCK)) app_targets.append(target.Extend('light', app=MbedApp.LIGHT)) app_targets.append(target.Extend( 'all-clusters', app=MbedApp.ALL_CLUSTERS)) app_targets.append(target.Extend('pigweed', app=MbedApp.PIGWEED)) app_targets.append(target.Extend('shell', app=MbedApp.SHELL)) for\",\n \"board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm-chip-tvserver', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TVServer) yield target.Extend('x86-chip-tvserver', board=AndroidBoard.X86, app=AndroidApp.CHIP_TVServer) yield target.Extend('x64-chip-tvserver', board=AndroidBoard.X64,\",\n \"app=K32WApp.LIGHT, release=True, disable_ble=True, se05x=True).GlobBlacklist(\\\"Only on demand build\\\") yield target.Extend('light-release-no-ota', app=K32WApp.LIGHT, tokenizer=True, disable_ota=True, release=True)\",\n \"board=AndroidBoard.X86, app=AndroidApp.CHIP_TVServer) yield target.Extend('x64-chip-tvserver', board=AndroidBoard.X64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm64-chip-tv-casting-app', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TV_CASTING_APP) yield target.Extend('arm-chip-tv-casting-app', board=AndroidBoard.ARM,\",\n \"name, builder_class, **kwargs): self.name = name self.builder_class = builder_class self.glob_blacklist_reason = None self.create_kw_args\",\n \"due to pw_build args not forwarded to proto compiler. ' 'https://pigweed-review.googlesource.com/c/pigweed/pigweed/+/66760') yield rpc\",\n \"Efr32App, Efr32Board, Efr32Builder from builders.esp32 import Esp32App, Esp32Board, Esp32Builder from builders.host import HostApp,\",\n \"target.Extend('p6-all-clusters', board=InfineonBoard.P6BOARD, app=InfineonApp.ALL_CLUSTERS) yield target.Extend('p6-light', board=InfineonBoard.P6BOARD, app=InfineonApp.LIGHT) def AmebaTargets(): ameba_target = Target('ameba', AmebaBuilder)\",\n \"app=HostApp.CHIP_TOOL)) app_targets.append(target.Extend('thermostat', app=HostApp.THERMOSTAT)) app_targets.append(target.Extend('minmdns', app=HostApp.MIN_MDNS)) app_targets.append(target.Extend('light', app=HostApp.LIGHT)) app_targets.append(target.Extend('lock', app=HostApp.LOCK)) app_targets.append(target.Extend('shell', app=HostApp.SHELL)) app_targets.append(target.Extend( 'ota-provider',\",\n \"(the \\\"License\\\"); # you may not use this file except in compliance with\",\n \"list \\\"\\\"\\\" available = set([item.name for item in items]) for item in items:\",\n \"itertools import combinations from typing import List from builders.ameba import AmebaApp, AmebaBoard, AmebaBuilder\",\n \"use_clang=True).GlobBlacklist(\\\"Reduce default build variants\\\") yield target_native.Extend('address-resolve-tool-platform-mdns', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True).GlobBlacklist(\\\"Reduce default build variants\\\") yield target_native.Extend('address-resolve-tool-platform-mdns-ipv6only',\",\n \"yield target.Extend('x86-chip-tool', board=AndroidBoard.X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-test', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TEST) yield target.Extend('androidstudio-arm-chip-tool', board=AndroidBoard.AndroidStudio_ARM, app=AndroidApp.CHIP_TOOL) yield\",\n \"# Unless required by applicable law or agreed to in writing, software #\",\n \"extra build variants yield target_native.Extend('chip-cert', app=HostApp.CERT_TOOL) yield target_native.Extend('address-resolve-tool', app=HostApp.ADDRESS_RESOLVE) yield target_native.Extend('address-resolve-tool-clang', app=HostApp.ADDRESS_RESOLVE, use_clang=True).GlobBlacklist(\\\"Reduce\",\n \"by applicable law or agreed to in writing, software # distributed under the\",\n \"Target('k32w', K32WBuilder) yield target.Extend('light-ota-se', app=K32WApp.LIGHT, release=True, disable_ble=True, se05x=True).GlobBlacklist(\\\"Only on demand build\\\") yield target.Extend('light-release-no-ota',\",\n \"yield target.Extend('x64-chip-tvserver', board=AndroidBoard.X64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm64-chip-tv-casting-app', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TV_CASTING_APP) yield target.Extend('arm-chip-tv-casting-app', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TV_CASTING_APP) def\",\n \"plus parameters on how to build it (what builder class to use and\",\n \"yield target.Extend('all-clusters-app-release', app=IMXApp.ALL_CLUSTERS, release=True) yield target.Extend('ota-provider-app-release', app=IMXApp.OTA_PROVIDER, release=True) ALL = [] target_generators =\",\n \"items]) for item in items: for requirement in item.requires: if requirement not in\",\n \"yield target.Extend('pump-controller', app=cc13x2x7_26x2x7App.PUMP_CONTROLLER) yield target.Extend('all-clusters', app=cc13x2x7_26x2x7App.ALL_CLUSTERS) yield target.Extend('shell', app=cc13x2x7_26x2x7App.SHELL) def Cyw30739Targets(): yield Target('cyw30739-cyw930739m2evb_01-light',\",\n \"app=Efr32App.LIGHT)) builder.targets.append(board_target.Extend('lock', app=Efr32App.LOCK)) # Possible build variants. Note that number of potential #\",\n \"target.Extend('lock', app=NrfApp.LOCK) yield target.Extend('light', app=NrfApp.LIGHT) yield target.Extend('shell', app=NrfApp.SHELL) yield target.Extend('pump', app=NrfApp.PUMP) yield target.Extend('pump-controller',\",\n \"with a \\\"-\\\" as separator to the clone name **kargs: arguments needed to\",\n \"not in available: return False return True class VariantBuilder: \\\"\\\"\\\"Handles creating multiple build\",\n \"file except in compliance with the License. # You may obtain a copy\",\n \"esp32_target.Extend('m5stack-all-clusters-rpc', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True) yield esp32_target.Extend('m5stack-all-clusters-rpc-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True, enable_ipv4=False) yield esp32_target.Extend('c3devkit-all-clusters', board=Esp32Board.C3DevKit,\",\n \"from builders.bl602 import Bl602App, Bl602Board, Bl602Builder from builders.imx import IMXApp, IMXBuilder class Target:\",\n \"'only user requested') ] builder = VariantBuilder() for board_target in board_targets: builder.targets.append(board_target.Extend( 'window-covering',\",\n \"builders.qpg import QpgApp, QpgBoard, QpgBuilder from builders.telink import TelinkApp, TelinkBoard, TelinkBuilder from builders.tizen\",\n \"yield ameba_target.Extend('amebad-all-clusters', board=AmebaBoard.AMEBAD, app=AmebaApp.ALL_CLUSTERS) yield ameba_target.Extend('amebad-light', board=AmebaBoard.AMEBAD, app=AmebaApp.LIGHT) yield ameba_target.Extend('amebad-pigweed', board=AmebaBoard.AMEBAD, app=AmebaApp.PIGWEED) def\",\n \"AndroidTargets(): target = Target('android', AndroidBuilder) yield target.Extend('arm-chip-tool', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tool', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TOOL)\",\n \"K32WApp, K32WBuilder from builders.mbed import MbedApp, MbedBoard, MbedBuilder, MbedProfile from builders.nrf import NrfApp,\",\n \"in target_generators: for target in generator: ALL.append(target) # Simple targets added one by\",\n \"board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR, progress_logging=False) def QorvoTargets(): target = Target('qpg', QpgBuilder) yield target.Extend('lock', board=QpgBoard.QPG6105, app=QpgApp.LOCK)\",\n \"target.Extend('pump', app=cc13x2x7_26x2x7App.PUMP) yield target.Extend('pump-controller', app=cc13x2x7_26x2x7App.PUMP_CONTROLLER) yield target.Extend('all-clusters', app=cc13x2x7_26x2x7App.ALL_CLUSTERS) yield target.Extend('shell', app=cc13x2x7_26x2x7App.SHELL) def Cyw30739Targets():\",\n \"board=AndroidBoard.X64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm64-chip-tv-casting-app', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TV_CASTING_APP) yield target.Extend('arm-chip-tv-casting-app', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TV_CASTING_APP) def MbedTargets(): target\",\n \"disable_ota=True, release=True) yield target.Extend('shell-release', app=K32WApp.SHELL, release=True) yield target.Extend('lock-release', app=K32WApp.LOCK, release=True) yield target.Extend('lock-low-power-release', app=K32WApp.LOCK,\",\n \"one ALL.append(Target('telink-tlsr9518adk80d-light', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.LIGHT)) ALL.append(Target('telink-tlsr9518adk80d-light-switch', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.SWITCH)) # have a consistent\",\n \"in builder.AllVariants(): yield target def Bl602Targets(): target = Target('bl602', Bl602Builder) yield target.Extend('light', board=Bl602Board.BL602BOARD,\",\n \"build\\\") yield target.Extend('light-release-no-ota', app=K32WApp.LIGHT, tokenizer=True, disable_ota=True, release=True) yield target.Extend('shell-release', app=K32WApp.SHELL, release=True) yield target.Extend('lock-release',\",\n \"= esp32_target.Extend('devkitc', board=Esp32Board.DevKitC) yield devkitc.Extend('all-clusters', app=Esp32App.ALL_CLUSTERS) yield devkitc.Extend('all-clusters-ipv6only', app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield devkitc.Extend('shell', app=Esp32App.SHELL)\",\n \"= targets[:] self.variants = [] self.glob_whitelist = [] def WhitelistVariantNameForGlob(self, name): \\\"\\\"\\\" Whitelist\",\n \"that number of potential # builds is exponential here builder.AppendVariant(name=\\\"rpc\\\", validator=AcceptNameWithSubstrings( ['-light', '-lock']),\",\n \"ALL.append(Target('telink-tlsr9518adk80d-light', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.LIGHT)) ALL.append(Target('telink-tlsr9518adk80d-light-switch', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.SWITCH)) # have a consistent order\",\n \"b.conflicts) or (b.name in a.conflicts): return True return False def AllRequirementsMet(items: List[BuildVariant]) ->\",\n \"Target('nrf', NrfConnectBuilder) yield target.Extend('native-posix-64-tests', board=NrfBoard.NATIVE_POSIX_64, app=NrfApp.UNIT_TESTS) targets = [ target.Extend('nrf5340dk', board=NrfBoard.NRF5340DK), target.Extend('nrf52840dk', board=NrfBoard.NRF52840DK),\",\n \"builds is exponential here builder.AppendVariant(name=\\\"same-event-loop\\\", validator=AcceptNameWithSubstrings( ['-chip-tool', '-chip-tool-darwin']), separate_event_loop=False), builder.AppendVariant(name=\\\"no-interactive\\\", validator=AcceptNameWithSubstrings( ['-chip-tool']), interactive_mode=False),\",\n \"OR CONDITIONS OF ANY KIND, either express or implied. # See the License\",\n \"may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #\",\n \"board=AndroidBoard.AndroidStudio_X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tvserver', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm-chip-tvserver', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TVServer) yield target.Extend('x86-chip-tvserver', board=AndroidBoard.X86,\",\n \"# Enable nrf52840dongle for all-clusters and lighting app only yield target.Extend('nrf52840dongle-all-clusters', board=NrfBoard.NRF52840DONGLE, app=NrfApp.ALL_CLUSTERS)\",\n \"build variants\\\") yield target_native.Extend('address-resolve-tool-platform-mdns', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True).GlobBlacklist(\\\"Reduce default build variants\\\") yield target_native.Extend('address-resolve-tool-platform-mdns-ipv6only', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True,\",\n \"default sysroot yield target.GlobBlacklist('Arm crosscompile does not support libreadline-dev') else: yield target #\",\n \"in target.name and '-no-interactive' not in target.name: # Interactive builds will not compile\",\n \"self.Clone() if clone.glob_blacklist_reason: clone.glob_blacklist_reason += \\\", \\\" clone.glob_blacklist_reason += reason else: clone.glob_blacklist_reason =\",\n \"app_targets.append( target_native.Extend('tv-casting-app', app=HostApp.TV_CASTING_APP)) app_targets.append( target_native.Extend('nl-test-runner', app=HostApp.NL_TEST_RUNNER)) for target in targets: app_targets.append(target.Extend( 'all-clusters', app=HostApp.ALL_CLUSTERS))\",\n \"if name not in self.glob_whitelist: if not variant_target.IsGlobBlacklisted: variant_target = variant_target.GlobBlacklist( 'Reduce default\",\n \"if (a.name in b.conflicts) or (b.name in a.conflicts): return True return False def\",\n \"for target in app_targets: if ('-rpc-console' in target.name) or ('-python-bindings' in target.name) or\",\n \"clone of the current object extending its build parameters. Arguments: suffix: appended with\",\n \"yield esp32_target.Extend('m5stack-all-clusters-rpc-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True, enable_ipv4=False) yield esp32_target.Extend('c3devkit-all-clusters', board=Esp32Board.C3DevKit, app=Esp32App.ALL_CLUSTERS) devkitc = esp32_target.Extend('devkitc',\",\n \"app_targets.append(target.Extend( 'chip-tool-darwin', app=HostApp.CHIP_TOOL_DARWIN)) app_targets.append(target.Extend('chip-tool', app=HostApp.CHIP_TOOL)) app_targets.append(target.Extend('thermostat', app=HostApp.THERMOSTAT)) app_targets.append(target.Extend('minmdns', app=HostApp.MIN_MDNS)) app_targets.append(target.Extend('light', app=HostApp.LIGHT)) app_targets.append(target.Extend('lock', app=HostApp.LOCK))\",\n \"extending its build parameters. Arguments: suffix: appended with a \\\"-\\\" as separator to\",\n \"\\\"\\\"\\\" self.variants.append(BuildVariant(**args)) def AllVariants(self): \\\"\\\"\\\" Yields a list of acceptable variants for the\",\n \"AppendVariant(self, **args): \\\"\\\"\\\" Add another variant to accepted variants. Arguments are construction variants\",\n \"in available: return False return True class VariantBuilder: \\\"\\\"\\\"Handles creating multiple build variants\",\n \"target in targets: app_targets.append(target.Extend('lock', app=MbedApp.LOCK)) app_targets.append(target.Extend('light', app=MbedApp.LIGHT)) app_targets.append(target.Extend( 'all-clusters', app=MbedApp.ALL_CLUSTERS)) app_targets.append(target.Extend('pigweed', app=MbedApp.PIGWEED)) app_targets.append(target.Extend('shell',\",\n \"'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') yield target.Extend('debug', profile=MbedProfile.DEBUG).GlobBlacklist( 'Compile only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') def\",\n \"on how to build it (what builder class to use and what arguments\",\n \"board=InfineonBoard.P6BOARD, app=InfineonApp.ALL_CLUSTERS) yield target.Extend('p6-light', board=InfineonBoard.P6BOARD, app=InfineonApp.LIGHT) def AmebaTargets(): ameba_target = Target('ameba', AmebaBuilder) yield\",\n \"from typing import List from builders.ameba import AmebaApp, AmebaBoard, AmebaBuilder from builders.android import\",\n \"app=IMXApp.ALL_CLUSTERS, release=True) yield target.Extend('ota-provider-app-release', app=IMXApp.OTA_PROVIDER, release=True) ALL = [] target_generators = [ HostTargets(),\",\n \"devkitc.Extend('temperature-measurement-rpc', app=Esp32App.TEMPERATURE_MEASUREMENT, enable_rpcs=True) yield esp32_target.Extend('qemu-tests', board=Esp32Board.QEMU, app=Esp32App.TESTS) def Efr32Targets(): efr_target = Target('efr32', Efr32Builder)\",\n \"TelinkBuilder from builders.tizen import TizenApp, TizenBoard, TizenBuilder from builders.bl602 import Bl602App, Bl602Board, Bl602Builder\",\n \"target_generators = [ HostTargets(), Esp32Targets(), Efr32Targets(), NrfTargets(), AndroidTargets(), MbedTargets(), InfineonTargets(), AmebaTargets(), K32WTargets(), cc13x2x7_26x2x7Targets(),\",\n \"board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS) yield esp32_target.Extend('m5stack-all-clusters-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield esp32_target.Extend('m5stack-all-clusters-rpc', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True) yield\",\n \"app_targets.append(target.Extend('lock', app=HostApp.LOCK)) app_targets.append(target.Extend('shell', app=HostApp.SHELL)) app_targets.append(target.Extend( 'ota-provider', app=HostApp.OTA_PROVIDER, enable_ble=False)) app_targets.append(target.Extend( 'ota-requestor', app=HostApp.OTA_REQUESTOR, enable_ble=False)) app_targets.append(target.Extend('python-bindings',\",\n \"enable_ota_requestor=True) builder.WhitelistVariantNameForGlob('rpc') for target in builder.AllVariants(): yield target def NrfTargets(): target = Target('nrf',\",\n \"not in target.name: # Interactive builds will not compile by default on arm\",\n \"yield target.Extend('thermostat', app=IMXApp.THERMOSTAT) yield target.Extend('all-clusters-app', app=IMXApp.ALL_CLUSTERS) yield target.Extend('ota-provider-app', app=IMXApp.OTA_PROVIDER) yield target.Extend('chip-tool-release', app=IMXApp.CHIP_TOOL, release=True)\",\n \"builder.AppendVariant(name=\\\"asan\\\", use_asan=True) target = Target('tizen-arm', TizenBuilder, board=TizenBoard.ARM) builder.targets.append(target.Extend('light', app=TizenApp.LIGHT)) for target in builder.AllVariants():\",\n \"ALL = [] target_generators = [ HostTargets(), Esp32Targets(), Efr32Targets(), NrfTargets(), AndroidTargets(), MbedTargets(), InfineonTargets(),\",\n \"TizenTargets(), Bl602Targets(), IMXTargets(), ] for generator in target_generators: for target in generator: ALL.append(target)\",\n \"board=Efr32Board.BRD4166A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4170a', board=Efr32Board.BRD4170A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4186a', board=Efr32Board.BRD4186A).GlobBlacklist( 'only user\",\n \"app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-arm64-chip-tool', board=AndroidBoard.AndroidStudio_ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x86-chip-tool', board=AndroidBoard.AndroidStudio_X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x64-chip-tool', board=AndroidBoard.AndroidStudio_X64, app=AndroidApp.CHIP_TOOL)\",\n \"ready to be created - no conflicts variant_target = target.Clone() for option in\",\n \"app=NrfApp.SHELL) yield target.Extend('pump', app=NrfApp.PUMP) yield target.Extend('pump-controller', app=NrfApp.PUMP_CONTROLLER) rpc = target.Extend('light-rpc', app=NrfApp.LIGHT, enable_rpcs=True) if\",\n \"in app_targets: yield target.Extend('release', profile=MbedProfile.RELEASE) yield target.Extend('develop', profile=MbedProfile.DEVELOP).GlobBlacklist( 'Compile only for debugging purpose\",\n \"board=Esp32Board.C3DevKit, app=Esp32App.ALL_CLUSTERS) devkitc = esp32_target.Extend('devkitc', board=Esp32Board.DevKitC) yield devkitc.Extend('all-clusters', app=Esp32App.ALL_CLUSTERS) yield devkitc.Extend('all-clusters-ipv6only', app=Esp32App.ALL_CLUSTERS, enable_ipv4=False)\",\n \"InfineonApp, InfineonBoard, InfineonBuilder from builders.k32w import K32WApp, K32WBuilder from builders.mbed import MbedApp, MbedBoard,\",\n \"Esp32App, Esp32Board, Esp32Builder from builders.host import HostApp, HostBoard, HostBuilder from builders.infineon import InfineonApp,\",\n \"bool): builder = self.builder_class( repository_path, runner=runner, **self.create_kw_args) builder.target = self builder.identifier = self.name\",\n \"List[str]): self.substr = substr def Accept(self, name: str): for s in self.substr: if\",\n \"given targets. Handles conflict resolution between build variants and globbing whitelist targets. \\\"\\\"\\\"\",\n \"build variants. Note that number of potential # builds is exponential here builder.AppendVariant(name=\\\"same-event-loop\\\",\",\n \"TizenApp, TizenBoard, TizenBuilder from builders.bl602 import Bl602App, Bl602Board, Bl602Builder from builders.imx import IMXApp,\",\n \"progress_logging=False) def QorvoTargets(): target = Target('qpg', QpgBuilder) yield target.Extend('lock', board=QpgBoard.QPG6105, app=QpgApp.LOCK) yield target.Extend('light',\",\n \"'build all' to select all variants, so variants are generally glob-blacklisted. \\\"\\\"\\\" self.glob_whitelist.append(name)\",\n \"target.name and '-no-interactive' not in target.name: # Interactive builds will not compile by\",\n \"variants yield target_native.Extend('chip-cert', app=HostApp.CERT_TOOL) yield target_native.Extend('address-resolve-tool', app=HostApp.ADDRESS_RESOLVE) yield target_native.Extend('address-resolve-tool-clang', app=HostApp.ADDRESS_RESOLVE, use_clang=True).GlobBlacklist(\\\"Reduce default build\",\n \"part of the default sysroot yield target.GlobBlacklist('Arm crosscompile does not support libreadline-dev') else:\",\n \"yield target.Extend('lock-low-power-release', app=K32WApp.LOCK, low_power=True, release=True).GlobBlacklist(\\\"Only on demand build\\\") def cc13x2x7_26x2x7Targets(): target = Target('cc13x2x7_26x2x7',\",\n \"yield target.Extend('all-clusters', app=NrfApp.ALL_CLUSTERS) yield target.Extend('lock', app=NrfApp.LOCK) yield target.Extend('light', app=NrfApp.LIGHT) yield target.Extend('shell', app=NrfApp.SHELL) yield\",\n \"import NrfApp, NrfBoard, NrfConnectBuilder from builders.qpg import QpgApp, QpgBoard, QpgBuilder from builders.telink import\",\n \"def __init__(self, name, builder_class, **kwargs): self.name = name self.builder_class = builder_class self.glob_blacklist_reason =\",\n \"# NOTE: The number of potential builds is exponential here. builder = VariantBuilder()\",\n \"target.Extend('arm-chip-tvserver', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TVServer) yield target.Extend('x86-chip-tvserver', board=AndroidBoard.X86, app=AndroidApp.CHIP_TVServer) yield target.Extend('x64-chip-tvserver', board=AndroidBoard.X64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm64-chip-tv-casting-app',\",\n \"\\\"\\\"\\\" self.glob_whitelist.append(name) def AppendVariant(self, **args): \\\"\\\"\\\" Add another variant to accepted variants. Arguments\",\n \"to BuildVariant. Example usage: builder.AppendVariant(name=\\\"ipv6only\\\", enable_ipv4=False) \\\"\\\"\\\" self.variants.append(BuildVariant(**args)) def AllVariants(self): \\\"\\\"\\\" Yields a\",\n \"target.name: # Interactive builds will not compile by default on arm cross compiles\",\n \"target.Extend('x64-chip-tool', board=AndroidBoard.X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x86-chip-tool', board=AndroidBoard.X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-test', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TEST) yield target.Extend('androidstudio-arm-chip-tool',\",\n \"cross compiles # because libreadline is not part of the default sysroot yield\",\n \"flash space\\\") yield Target('cyw30739-cyw930739m2evb_01-ota-requestor-no-progress-logging', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR, progress_logging=False) def QorvoTargets(): target = Target('qpg',\",\n \"'Compile only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') def InfineonTargets(): target = Target('infineon',\",\n \"app=NrfApp.ALL_CLUSTERS) yield target.Extend('nrf52840dongle-light', board=NrfBoard.NRF52840DONGLE, app=NrfApp.LIGHT) for target in targets: yield target.Extend('all-clusters', app=NrfApp.ALL_CLUSTERS) yield\",\n \"None self.create_kw_args = kwargs def Clone(self): \\\"\\\"\\\"Creates a clone of self.\\\"\\\"\\\" clone =\",\n \"TelinkBoard, TelinkBuilder from builders.tizen import TizenApp, TizenBoard, TizenBuilder from builders.bl602 import Bl602App, Bl602Board,\",\n \"Esp32Targets(), Efr32Targets(), NrfTargets(), AndroidTargets(), MbedTargets(), InfineonTargets(), AmebaTargets(), K32WTargets(), cc13x2x7_26x2x7Targets(), Cyw30739Targets(), QorvoTargets(), TizenTargets(), Bl602Targets(),\",\n \"NrfApp, NrfBoard, NrfConnectBuilder from builders.qpg import QpgApp, QpgBoard, QpgBuilder from builders.telink import TelinkApp,\",\n \"builders.mbed import MbedApp, MbedBoard, MbedBuilder, MbedProfile from builders.nrf import NrfApp, NrfBoard, NrfConnectBuilder from\",\n \"app=Esp32App.ALL_CLUSTERS, enable_rpcs=True) yield esp32_target.Extend('m5stack-all-clusters-rpc-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True, enable_ipv4=False) yield esp32_target.Extend('c3devkit-all-clusters', board=Esp32Board.C3DevKit, app=Esp32App.ALL_CLUSTERS) devkitc\",\n \"target.Extend('shell', app=cc13x2x7_26x2x7App.SHELL) def Cyw30739Targets(): yield Target('cyw30739-cyw930739m2evb_01-light', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LIGHT) yield Target('cyw30739-cyw930739m2evb_01-lock', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01,\",\n \"return False class BuildVariant: def __init__(self, name: str, validator=AcceptAnyName(), conflicts: List[str] = [],\",\n \"'arm64' in target.name and '-no-interactive' not in target.name: # Interactive builds will not\",\n \"yield variant_target def HostTargets(): target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) target_native = target.Extend(HostBoard.NATIVE.BoardName(), board=HostBoard.NATIVE) targets\",\n \"Check that item.requires is satisfied for all items in the given list \\\"\\\"\\\"\",\n \"Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); # you may not\",\n \"targets: List[Target] = []): # note the clone in case the default arg\",\n \"name: return True return False class BuildVariant: def __init__(self, name: str, validator=AcceptAnyName(), conflicts:\",\n \"se05x=True).GlobBlacklist(\\\"Only on demand build\\\") yield target.Extend('light-release-no-ota', app=K32WApp.LIGHT, tokenizer=True, disable_ota=True, release=True) yield target.Extend('shell-release', app=K32WApp.SHELL,\",\n \"from itertools import combinations from typing import List from builders.ameba import AmebaApp, AmebaBoard,\",\n \"def HasConflicts(items: List[BuildVariant]) -> bool: for a, b in combinations(items, 2): if (a.name\",\n \"yield esp32_target.Extend('m5stack-all-clusters-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield esp32_target.Extend('m5stack-all-clusters-rpc', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True) yield esp32_target.Extend('m5stack-all-clusters-rpc-ipv6only', board=Esp32Board.M5Stack,\",\n \"app_targets.append(target.Extend('light', app=HostApp.LIGHT)) app_targets.append(target.Extend('lock', app=HostApp.LOCK)) app_targets.append(target.Extend('shell', app=HostApp.SHELL)) app_targets.append(target.Extend( 'ota-provider', app=HostApp.OTA_PROVIDER, enable_ble=False)) app_targets.append(target.Extend( 'ota-requestor', app=HostApp.OTA_REQUESTOR,\",\n \"target_native.Extend('tv-casting-app', app=HostApp.TV_CASTING_APP)) app_targets.append( target_native.Extend('nl-test-runner', app=HostApp.NL_TEST_RUNNER)) for target in targets: app_targets.append(target.Extend( 'all-clusters', app=HostApp.ALL_CLUSTERS)) if\",\n \"build\\\") def cc13x2x7_26x2x7Targets(): target = Target('cc13x2x7_26x2x7', cc13x2x7_26x2x7Builder) yield target.Extend('lock-ftd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=True) yield target.Extend('lock-mtd',\",\n \"str): for s in self.substr: if s in name: return True return False\",\n \"app=AmebaApp.LIGHT) yield ameba_target.Extend('amebad-pigweed', board=AmebaBoard.AMEBAD, app=AmebaApp.PIGWEED) def K32WTargets(): target = Target('k32w', K32WBuilder) yield target.Extend('light-ota-se',\",\n \"is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF\",\n \"'only user requested'), efr_target.Extend('brd4170a', board=Efr32Board.BRD4170A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4186a', board=Efr32Board.BRD4186A).GlobBlacklist( 'only user requested'),\",\n \"Bl602Targets(), IMXTargets(), ] for generator in target_generators: for target in generator: ALL.append(target) #\",\n \"Possible build variants. Note that number of potential # builds is exponential here\",\n \"app=NrfApp.LIGHT) for target in targets: yield target.Extend('all-clusters', app=NrfApp.ALL_CLUSTERS) yield target.Extend('lock', app=NrfApp.LOCK) yield target.Extend('light',\",\n \"do not work for this target ok_variants = [ v for v in\",\n \"yield target # Without extra build variants yield target_native.Extend('chip-cert', app=HostApp.CERT_TOOL) yield target_native.Extend('address-resolve-tool', app=HostApp.ADDRESS_RESOLVE)\",\n \"AmebaApp, AmebaBoard, AmebaBuilder from builders.android import AndroidApp, AndroidBoard, AndroidBuilder from builders.cc13x2x7_26x2x7 import cc13x2x7_26x2x7App,\",\n \"Bl602Builder) yield target.Extend('light', board=Bl602Board.BL602BOARD, app=Bl602App.LIGHT) def IMXTargets(): target = Target('imx', IMXBuilder) yield target.Extend('chip-tool',\",\n \"generator: ALL.append(target) # Simple targets added one by one ALL.append(Target('telink-tlsr9518adk80d-light', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.LIGHT))\",\n \"to select all variants, so variants are generally glob-blacklisted. \\\"\\\"\\\" self.glob_whitelist.append(name) def AppendVariant(self,\",\n \"Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR).GlobBlacklist( \\\"Running out of XIP flash space\\\") yield Target('cyw30739-cyw930739m2evb_01-ota-requestor-no-progress-logging', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01,\",\n \"= self.Clone() clone.name += \\\"-\\\" + suffix clone.create_kw_args.update(kargs) return clone def Create(self, runner,\",\n \"want a 'build all' to select all variants, so variants are generally glob-blacklisted.\",\n \"# Single-variant builds yield target else: builder.targets.append(target) for target in builder.AllVariants(): if cross_compile\",\n \"= Target('qpg', QpgBuilder) yield target.Extend('lock', board=QpgBoard.QPG6105, app=QpgApp.LOCK) yield target.Extend('light', board=QpgBoard.QPG6105, app=QpgApp.LIGHT) yield target.Extend('shell',\",\n \"satisfied for all items in the given list \\\"\\\"\\\" available = set([item.name for\",\n \"self.glob_whitelist: if not variant_target.IsGlobBlacklisted: variant_target = variant_target.GlobBlacklist( 'Reduce default build variants') yield variant_target\",\n \"use_asan=True), builder.AppendVariant(name=\\\"libfuzzer\\\", requires=[ \\\"clang\\\"], use_libfuzzer=True), builder.AppendVariant(name=\\\"clang\\\", use_clang=True), builder.AppendVariant(name=\\\"test\\\", extra_tests=True), builder.WhitelistVariantNameForGlob('no-interactive-ipv6only') builder.WhitelistVariantNameForGlob('ipv6only') for target\",\n \"def QorvoTargets(): target = Target('qpg', QpgBuilder) yield target.Extend('lock', board=QpgBoard.QPG6105, app=QpgApp.LOCK) yield target.Extend('light', board=QpgBoard.QPG6105,\",\n \"self.validator = validator self.conflicts = conflicts self.buildargs = buildargs self.requires = requires def\",\n \"use_asan=True) target = Target('tizen-arm', TizenBuilder, board=TizenBoard.ARM) builder.targets.append(target.Extend('light', app=TizenApp.LIGHT)) for target in builder.AllVariants(): yield\",\n \"the License for the specific language governing permissions and # limitations under the\",\n \"for generator in target_generators: for target in generator: ALL.append(target) # Simple targets added\",\n \"arguments are required to produce the specified build) \\\"\\\"\\\" def __init__(self, name, builder_class,\",\n \"Authors # # Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); #\",\n \"Cyw30739Targets(): yield Target('cyw30739-cyw930739m2evb_01-light', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LIGHT) yield Target('cyw30739-cyw930739m2evb_01-lock', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LOCK) yield Target('cyw30739-cyw930739m2evb_01-ota-requestor',\",\n \"target.Extend('arm64-chip-tool', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x64-chip-tool', board=AndroidBoard.X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x86-chip-tool', board=AndroidBoard.X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-test',\",\n \"target in targets: app_targets.append(target.Extend( 'all-clusters', app=HostApp.ALL_CLUSTERS)) if (HostBoard.NATIVE.PlatformName() == 'darwin'): app_targets.append(target.Extend( 'chip-tool-darwin', app=HostApp.CHIP_TOOL_DARWIN))\",\n \"Whitelist the specified variant to be allowed for globbing. By default we do\",\n \"globbing whitelist targets. \\\"\\\"\\\" for target in self.targets: yield target # skip variants\",\n \"target.Extend('debug', profile=MbedProfile.DEBUG).GlobBlacklist( 'Compile only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') def InfineonTargets(): target\",\n \"target.Extend('p6-lock', board=InfineonBoard.P6BOARD, app=InfineonApp.LOCK) yield target.Extend('p6-all-clusters', board=InfineonBoard.P6BOARD, app=InfineonApp.ALL_CLUSTERS) yield target.Extend('p6-light', board=InfineonBoard.P6BOARD, app=InfineonApp.LIGHT) def AmebaTargets():\",\n \"yield target.Extend('persistent-storage', board=QpgBoard.QPG6105, app=QpgApp.PERSISTENT_STORAGE) def TizenTargets(): # Possible build variants. # NOTE: The\",\n \"target.Extend('x86-chip-tool', board=AndroidBoard.X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-test', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TEST) yield target.Extend('androidstudio-arm-chip-tool', board=AndroidBoard.AndroidStudio_ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-arm64-chip-tool',\",\n \"board=AndroidBoard.AndroidStudio_X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x64-chip-tool', board=AndroidBoard.AndroidStudio_X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tvserver', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm-chip-tvserver', board=AndroidBoard.ARM,\",\n \"# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. #\",\n \"and what arguments are required to produce the specified build) \\\"\\\"\\\" def __init__(self,\",\n \"Efr32Targets(): efr_target = Target('efr32', Efr32Builder) board_targets = [ efr_target.Extend('brd4161a', board=Efr32Board.BRD4161A), efr_target.Extend('brd4163a', board=Efr32Board.BRD4163A).GlobBlacklist( 'only\",\n \"!= HostBoard.ARM64.BoardName()) if cross_compile: targets.append(target.Extend('arm64', board=HostBoard.ARM64)) app_targets = [] # Don't cross compile\",\n \"target.Extend('lock-release', app=K32WApp.LOCK, release=True) yield target.Extend('lock-low-power-release', app=K32WApp.LOCK, low_power=True, release=True).GlobBlacklist(\\\"Only on demand build\\\") def cc13x2x7_26x2x7Targets():\",\n \"NrfBoard, NrfConnectBuilder from builders.qpg import QpgApp, QpgBoard, QpgBuilder from builders.telink import TelinkApp, TelinkBoard,\",\n \"Target('qpg', QpgBuilder) yield target.Extend('lock', board=QpgBoard.QPG6105, app=QpgApp.LOCK) yield target.Extend('light', board=QpgBoard.QPG6105, app=QpgApp.LIGHT) yield target.Extend('shell', board=QpgBoard.QPG6105,\",\n \"app=Esp32App.SHELL) yield devkitc.Extend('light', app=Esp32App.LIGHT) yield devkitc.Extend('lock', app=Esp32App.LOCK) yield devkitc.Extend('bridge', app=Esp32App.BRIDGE) yield devkitc.Extend('temperature-measurement', app=Esp32App.TEMPERATURE_MEASUREMENT)\",\n \"self.buildargs = buildargs self.requires = requires def HasConflicts(items: List[BuildVariant]) -> bool: for a,\",\n \"self.conflicts = conflicts self.buildargs = buildargs self.requires = requires def HasConflicts(items: List[BuildVariant]) ->\",\n \"or ('nl-test-runner' in target.name): # Single-variant builds yield target else: builder.targets.append(target) for target\",\n \"board=Efr32Board.BRD4163A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4164a', board=Efr32Board.BRD4164A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4166a', board=Efr32Board.BRD4166A).GlobBlacklist( 'only user\",\n \"= kwargs def Clone(self): \\\"\\\"\\\"Creates a clone of self.\\\"\\\"\\\" clone = Target(self.name, self.builder_class,\",\n \"app=TizenApp.LIGHT)) for target in builder.AllVariants(): yield target def Bl602Targets(): target = Target('bl602', Bl602Builder)\",\n \"\\\"\\\"\\\" available = set([item.name for item in items]) for item in items: for\",\n \"app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield devkitc.Extend('shell', app=Esp32App.SHELL) yield devkitc.Extend('light', app=Esp32App.LIGHT) yield devkitc.Extend('lock', app=Esp32App.LOCK) yield devkitc.Extend('bridge',\",\n \"return False def AllRequirementsMet(items: List[BuildVariant]) -> bool: \\\"\\\"\\\" Check that item.requires is satisfied\",\n \"['-light', '-lock']), enable_rpcs=True) builder.AppendVariant(name=\\\"with-ota-requestor\\\", enable_ota_requestor=True) builder.WhitelistVariantNameForGlob('rpc') for target in builder.AllVariants(): yield target def\",\n \"conflicts self.buildargs = buildargs self.requires = requires def HasConflicts(items: List[BuildVariant]) -> bool: for\",\n \"Target('cyw30739-cyw930739m2evb_01-lock', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LOCK) yield Target('cyw30739-cyw930739m2evb_01-ota-requestor', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR).GlobBlacklist( \\\"Running out of XIP\",\n \"demand build\\\") yield target.Extend('light-release-no-ota', app=K32WApp.LIGHT, tokenizer=True, disable_ota=True, release=True) yield target.Extend('shell-release', app=K32WApp.SHELL, release=True) yield\",\n \"target = Target('bl602', Bl602Builder) yield target.Extend('light', board=Bl602Board.BL602BOARD, app=Bl602App.LIGHT) def IMXTargets(): target = Target('imx',\",\n \"repository_path: str, output_prefix: str, enable_flashbundle: bool): builder = self.builder_class( repository_path, runner=runner, **self.create_kw_args) builder.target\",\n \"requested'), efr_target.Extend('brd4187a', board=Efr32Board.BRD4187A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4304a', board=Efr32Board.BRD4304A).GlobBlacklist( 'only user requested') ] builder\",\n \"HostTargets(): target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) target_native = target.Extend(HostBoard.NATIVE.BoardName(), board=HostBoard.NATIVE) targets = [target_native] #\",\n \"else: yield target # Without extra build variants yield target_native.Extend('chip-cert', app=HostApp.CERT_TOOL) yield target_native.Extend('address-resolve-tool',\",\n \"Version 2.0 (the \\\"License\\\"); # you may not use this file except in\",\n \"yield target.Extend('native-posix-64-tests', board=NrfBoard.NATIVE_POSIX_64, app=NrfApp.UNIT_TESTS) targets = [ target.Extend('nrf5340dk', board=NrfBoard.NRF5340DK), target.Extend('nrf52840dk', board=NrfBoard.NRF52840DK), ] #\",\n \"= variant_target.Extend( option.name, **option.buildargs) # Only a few are whitelisted for globs name\",\n \"app=TelinkApp.LIGHT)) ALL.append(Target('telink-tlsr9518adk80d-light-switch', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.SWITCH)) # have a consistent order overall ALL.sort(key=lambda t:\",\n \"supports cross compile cross_compile = (HostBoard.NATIVE.PlatformName() == 'linux') and (HostBoard.NATIVE.BoardName() != HostBoard.ARM64.BoardName()) if\",\n \"some builds app_targets.append( target_native.Extend('rpc-console', app=HostApp.RPC_CONSOLE)) app_targets.append( target_native.Extend('tv-app', app=HostApp.TV_APP)) app_targets.append( target_native.Extend('tv-casting-app', app=HostApp.TV_CASTING_APP)) app_targets.append( target_native.Extend('nl-test-runner',\",\n \"does not support libreadline-dev') else: yield target # Without extra build variants yield\",\n \"IMXApp, IMXBuilder class Target: \\\"\\\"\\\"Represents a build target: Has a name identifier plus\",\n \"board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.LIGHT)) ALL.append(Target('telink-tlsr9518adk80d-light-switch', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.SWITCH)) # have a consistent order overall ALL.sort(key=lambda\",\n \"= reason return clone @property def IsGlobBlacklisted(self): return self.glob_blacklist_reason is not None @property\",\n \"if cross_compile: targets.append(target.Extend('arm64', board=HostBoard.ARM64)) app_targets = [] # Don't cross compile some builds\",\n \"target.Extend('CY8CPROTO_062_4343W', board=MbedBoard.CY8CPROTO_062_4343W), ] app_targets = [] for target in targets: app_targets.append(target.Extend('lock', app=MbedApp.LOCK)) app_targets.append(target.Extend('light',\",\n \"MbedTargets(), InfineonTargets(), AmebaTargets(), K32WTargets(), cc13x2x7_26x2x7Targets(), Cyw30739Targets(), QorvoTargets(), TizenTargets(), Bl602Targets(), IMXTargets(), ] for generator\",\n \"board=Bl602Board.BL602BOARD, app=Bl602App.LIGHT) def IMXTargets(): target = Target('imx', IMXBuilder) yield target.Extend('chip-tool', app=IMXApp.CHIP_TOOL) yield target.Extend('lighting-app',\",\n \"List[BuildVariant]) -> bool: \\\"\\\"\\\" Check that item.requires is satisfied for all items in\",\n \"enable_wifi=False) builder.AppendVariant(name=\\\"asan\\\", use_asan=True) target = Target('tizen-arm', TizenBuilder, board=TizenBoard.ARM) builder.targets.append(target.Extend('light', app=TizenApp.LIGHT)) for target in\",\n \"for the given targets. Handles conflict resolution between build variants and globbing whitelist\",\n \"builds is exponential here. builder = VariantBuilder() builder.AppendVariant(name=\\\"no-ble\\\", enable_ble=False) builder.AppendVariant(name=\\\"no-wifi\\\", enable_wifi=False) builder.AppendVariant(name=\\\"asan\\\", use_asan=True)\",\n \"in item.requires: if requirement not in available: return False return True class VariantBuilder:\",\n \"target.Extend('chip-tool-release', app=IMXApp.CHIP_TOOL, release=True) yield target.Extend('lighting-app-release', app=IMXApp.LIGHT, release=True) yield target.Extend('thermostat-release', app=IMXApp.THERMOSTAT, release=True) yield target.Extend('all-clusters-app-release',\",\n \"builder_class self.glob_blacklist_reason = None self.create_kw_args = kwargs def Clone(self): \\\"\\\"\\\"Creates a clone of\",\n \"BuildVariant. Example usage: builder.AppendVariant(name=\\\"ipv6only\\\", enable_ipv4=False) \\\"\\\"\\\" self.variants.append(BuildVariant(**args)) def AllVariants(self): \\\"\\\"\\\" Yields a list\",\n \"builder.targets.append( board_target.Extend('light', app=Efr32App.LIGHT)) builder.targets.append(board_target.Extend('lock', app=Efr32App.LOCK)) # Possible build variants. Note that number of\",\n \"self.variants.append(BuildVariant(**args)) def AllVariants(self): \\\"\\\"\\\" Yields a list of acceptable variants for the given\",\n \"[], **buildargs): self.name = name self.validator = validator self.conflicts = conflicts self.buildargs =\",\n \"of the default sysroot yield target.GlobBlacklist('Arm crosscompile does not support libreadline-dev') else: yield\",\n \"app_targets: yield target.Extend('release', profile=MbedProfile.RELEASE) yield target.Extend('develop', profile=MbedProfile.DEVELOP).GlobBlacklist( 'Compile only for debugging purpose -\",\n \"target in app_targets: yield target.Extend('release', profile=MbedProfile.RELEASE) yield target.Extend('develop', profile=MbedProfile.DEVELOP).GlobBlacklist( 'Compile only for debugging\",\n \"items in the given list \\\"\\\"\\\" available = set([item.name for item in items])\",\n \"app=Esp32App.LOCK) yield devkitc.Extend('bridge', app=Esp32App.BRIDGE) yield devkitc.Extend('temperature-measurement', app=Esp32App.TEMPERATURE_MEASUREMENT) yield devkitc.Extend('temperature-measurement-rpc', app=Esp32App.TEMPERATURE_MEASUREMENT, enable_rpcs=True) yield esp32_target.Extend('qemu-tests',\",\n \"yield target.Extend('pump-controller', app=NrfApp.PUMP_CONTROLLER) rpc = target.Extend('light-rpc', app=NrfApp.LIGHT, enable_rpcs=True) if '-nrf5340dk-' in rpc.name: rpc\",\n \"from builders.qpg import QpgApp, QpgBoard, QpgBuilder from builders.telink import TelinkApp, TelinkBoard, TelinkBuilder from\",\n \"yield target.Extend('shell-release', app=K32WApp.SHELL, release=True) yield target.Extend('lock-release', app=K32WApp.LOCK, release=True) yield target.Extend('lock-low-power-release', app=K32WApp.LOCK, low_power=True, release=True).GlobBlacklist(\\\"Only\",\n \"requirement in item.requires: if requirement not in available: return False return True class\",\n \"import HostApp, HostBoard, HostBuilder from builders.infineon import InfineonApp, InfineonBoard, InfineonBuilder from builders.k32w import\",\n \"b in combinations(items, 2): if (a.name in b.conflicts) or (b.name in a.conflicts): return\",\n \"] # Enable nrf52840dongle for all-clusters and lighting app only yield target.Extend('nrf52840dongle-all-clusters', board=NrfBoard.NRF52840DONGLE,\",\n \"openthread_ftd=True) yield target.Extend('lock-mtd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=False) yield target.Extend('pump', app=cc13x2x7_26x2x7App.PUMP) yield target.Extend('pump-controller', app=cc13x2x7_26x2x7App.PUMP_CONTROLLER) yield target.Extend('all-clusters',\",\n \"'-nrf5340dk-' in rpc.name: rpc = rpc.GlobBlacklist( 'Compile failure due to pw_build args not\",\n \"Target('imx', IMXBuilder) yield target.Extend('chip-tool', app=IMXApp.CHIP_TOOL) yield target.Extend('lighting-app', app=IMXApp.LIGHT) yield target.Extend('thermostat', app=IMXApp.THERMOSTAT) yield target.Extend('all-clusters-app',\",\n \"board=NrfBoard.NATIVE_POSIX_64, app=NrfApp.UNIT_TESTS) targets = [ target.Extend('nrf5340dk', board=NrfBoard.NRF5340DK), target.Extend('nrf52840dk', board=NrfBoard.NRF52840DK), ] # Enable nrf52840dongle\",\n \"the given list \\\"\\\"\\\" available = set([item.name for item in items]) for item\",\n \"os.path.join(output_prefix, self.name) builder.enable_flashbundle(enable_flashbundle) return builder def GlobBlacklist(self, reason): clone = self.Clone() if clone.glob_blacklist_reason:\",\n \"\\\"\\\"\\\" Yields a list of acceptable variants for the given targets. Handles conflict\",\n \"arm cross compiles # because libreadline is not part of the default sysroot\",\n \"IMXBuilder class Target: \\\"\\\"\\\"Represents a build target: Has a name identifier plus parameters\",\n \"requested'), efr_target.Extend('brd4164a', board=Efr32Board.BRD4164A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4166a', board=Efr32Board.BRD4166A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4170a', board=Efr32Board.BRD4170A).GlobBlacklist(\",\n \"a clone of self.\\\"\\\"\\\" clone = Target(self.name, self.builder_class, **self.create_kw_args.copy()) clone.glob_blacklist_reason = self.glob_blacklist_reason return\",\n \"enable_ipv4=False) yield devkitc.Extend('shell', app=Esp32App.SHELL) yield devkitc.Extend('light', app=Esp32App.LIGHT) yield devkitc.Extend('lock', app=Esp32App.LOCK) yield devkitc.Extend('bridge', app=Esp32App.BRIDGE)\",\n \"['-chip-tool', '-chip-tool-darwin']), separate_event_loop=False), builder.AppendVariant(name=\\\"no-interactive\\\", validator=AcceptNameWithSubstrings( ['-chip-tool']), interactive_mode=False), builder.AppendVariant(name=\\\"ipv6only\\\", enable_ipv4=False), builder.AppendVariant(name=\\\"no-ble\\\", enable_ble=False), builder.AppendVariant(name=\\\"no-wifi\\\", enable_wifi=False),\",\n \"requested'), efr_target.Extend('brd4170a', board=Efr32Board.BRD4170A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4186a', board=Efr32Board.BRD4186A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4187a', board=Efr32Board.BRD4187A).GlobBlacklist(\",\n \"GlobBlacklist(self, reason): clone = self.Clone() if clone.glob_blacklist_reason: clone.glob_blacklist_reason += \\\", \\\" clone.glob_blacklist_reason +=\",\n \"efr_target.Extend('brd4166a', board=Efr32Board.BRD4166A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4170a', board=Efr32Board.BRD4170A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4186a', board=Efr32Board.BRD4186A).GlobBlacklist( 'only\",\n \"builder.AppendVariant(name=\\\"clang\\\", use_clang=True), builder.AppendVariant(name=\\\"test\\\", extra_tests=True), builder.WhitelistVariantNameForGlob('no-interactive-ipv6only') builder.WhitelistVariantNameForGlob('ipv6only') for target in app_targets: if ('-rpc-console' in\",\n \"bool: \\\"\\\"\\\" Check that item.requires is satisfied for all items in the given\",\n \"build variants\\\") yield target_native.Extend('address-resolve-tool-platform-mdns-ipv6only', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True, enable_ipv4=False).GlobBlacklist(\\\"Reduce default build variants\\\") test_target = Target(HostBoard.NATIVE.PlatformName(),\",\n \"class to use and what arguments are required to produce the specified build)\",\n \"enable_rpcs=True) yield esp32_target.Extend('qemu-tests', board=Esp32Board.QEMU, app=Esp32App.TESTS) def Efr32Targets(): efr_target = Target('efr32', Efr32Builder) board_targets =\",\n \"board=Efr32Board.BRD4161A), efr_target.Extend('brd4163a', board=Efr32Board.BRD4163A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4164a', board=Efr32Board.BRD4164A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4166a', board=Efr32Board.BRD4166A).GlobBlacklist(\",\n \"requested'), efr_target.Extend('brd4166a', board=Efr32Board.BRD4166A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4170a', board=Efr32Board.BRD4170A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4186a', board=Efr32Board.BRD4186A).GlobBlacklist(\",\n \"app_targets: if ('-rpc-console' in target.name) or ('-python-bindings' in target.name) or ('nl-test-runner' in target.name):\",\n \"forwarded to proto compiler. ' 'https://pigweed-review.googlesource.com/c/pigweed/pigweed/+/66760') yield rpc def AndroidTargets(): target = Target('android',\",\n \"to pw_build args not forwarded to proto compiler. ' 'https://pigweed-review.googlesource.com/c/pigweed/pigweed/+/66760') yield rpc def\",\n \"target_native.Extend('rpc-console', app=HostApp.RPC_CONSOLE)) app_targets.append( target_native.Extend('tv-app', app=HostApp.TV_APP)) app_targets.append( target_native.Extend('tv-casting-app', app=HostApp.TV_CASTING_APP)) app_targets.append( target_native.Extend('nl-test-runner', app=HostApp.NL_TEST_RUNNER)) for target\",\n \"app_targets.append(target.Extend('lock', app=MbedApp.LOCK)) app_targets.append(target.Extend('light', app=MbedApp.LIGHT)) app_targets.append(target.Extend( 'all-clusters', app=MbedApp.ALL_CLUSTERS)) app_targets.append(target.Extend('pigweed', app=MbedApp.PIGWEED)) app_targets.append(target.Extend('shell', app=MbedApp.SHELL)) for target\",\n \"in generator: ALL.append(target) # Simple targets added one by one ALL.append(Target('telink-tlsr9518adk80d-light', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D,\",\n \"\\\"\\\"\\\" Add another variant to accepted variants. Arguments are construction variants to BuildVariant.\",\n \"target.Extend('lock-low-power-release', app=K32WApp.LOCK, low_power=True, release=True).GlobBlacklist(\\\"Only on demand build\\\") def cc13x2x7_26x2x7Targets(): target = Target('cc13x2x7_26x2x7', cc13x2x7_26x2x7Builder)\",\n \"app=HostApp.TV_APP)) app_targets.append( target_native.Extend('tv-casting-app', app=HostApp.TV_CASTING_APP)) app_targets.append( target_native.Extend('nl-test-runner', app=HostApp.NL_TEST_RUNNER)) for target in targets: app_targets.append(target.Extend( 'all-clusters',\",\n \"yield devkitc.Extend('temperature-measurement', app=Esp32App.TEMPERATURE_MEASUREMENT) yield devkitc.Extend('temperature-measurement-rpc', app=Esp32App.TEMPERATURE_MEASUREMENT, enable_rpcs=True) yield esp32_target.Extend('qemu-tests', board=Esp32Board.QEMU, app=Esp32App.TESTS) def Efr32Targets():\",\n \"return builder def GlobBlacklist(self, reason): clone = self.Clone() if clone.glob_blacklist_reason: clone.glob_blacklist_reason += \\\",\",\n \"app=Efr32App.SWITCH)) builder.targets.append(board_target.Extend( 'unit-test', app=Efr32App.UNIT_TEST)) builder.targets.append( board_target.Extend('light', app=Efr32App.LIGHT)) builder.targets.append(board_target.Extend('lock', app=Efr32App.LOCK)) # Possible build variants.\",\n \"InfineonBuilder) yield target.Extend('p6-lock', board=InfineonBoard.P6BOARD, app=InfineonApp.LOCK) yield target.Extend('p6-all-clusters', board=InfineonBoard.P6BOARD, app=InfineonApp.ALL_CLUSTERS) yield target.Extend('p6-light', board=InfineonBoard.P6BOARD, app=InfineonApp.LIGHT)\",\n \"= VariantBuilder() builder.AppendVariant(name=\\\"no-ble\\\", enable_ble=False) builder.AppendVariant(name=\\\"no-wifi\\\", enable_wifi=False) builder.AppendVariant(name=\\\"asan\\\", use_asan=True) target = Target('tizen-arm', TizenBuilder, board=TizenBoard.ARM)\",\n \"import Efr32App, Efr32Board, Efr32Builder from builders.esp32 import Esp32App, Esp32Board, Esp32Builder from builders.host import\",\n \"target.Extend('native-posix-64-tests', board=NrfBoard.NATIVE_POSIX_64, app=NrfApp.UNIT_TESTS) targets = [ target.Extend('nrf5340dk', board=NrfBoard.NRF5340DK), target.Extend('nrf52840dk', board=NrfBoard.NRF52840DK), ] # Enable\",\n \"profile=MbedProfile.DEBUG).GlobBlacklist( 'Compile only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') def InfineonTargets(): target =\",\n \"By default we do not want a 'build all' to select all variants,\",\n \"OF ANY KIND, either express or implied. # See the License for the\",\n \"app=IMXApp.THERMOSTAT, release=True) yield target.Extend('all-clusters-app-release', app=IMXApp.ALL_CLUSTERS, release=True) yield target.Extend('ota-provider-app-release', app=IMXApp.OTA_PROVIDER, release=True) ALL = []\",\n \"cross compile some builds app_targets.append( target_native.Extend('rpc-console', app=HostApp.RPC_CONSOLE)) app_targets.append( target_native.Extend('tv-app', app=HostApp.TV_APP)) app_targets.append( target_native.Extend('tv-casting-app', app=HostApp.TV_CASTING_APP))\",\n \"target.Extend('lighting-app', app=IMXApp.LIGHT) yield target.Extend('thermostat', app=IMXApp.THERMOSTAT) yield target.Extend('all-clusters-app', app=IMXApp.ALL_CLUSTERS) yield target.Extend('ota-provider-app', app=IMXApp.OTA_PROVIDER) yield target.Extend('chip-tool-release',\",\n \"variants. Note that number of potential # builds is exponential here builder.AppendVariant(name=\\\"same-event-loop\\\", validator=AcceptNameWithSubstrings(\",\n \"**buildargs): self.name = name self.validator = validator self.conflicts = conflicts self.buildargs = buildargs\",\n \"for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') def InfineonTargets(): target = Target('infineon', InfineonBuilder) yield\",\n \"builder.AllVariants(): yield target def Bl602Targets(): target = Target('bl602', Bl602Builder) yield target.Extend('light', board=Bl602Board.BL602BOARD, app=Bl602App.LIGHT)\",\n \"Target ready to be created - no conflicts variant_target = target.Clone() for option\",\n \"yield target.Extend('androidstudio-x64-chip-tool', board=AndroidBoard.AndroidStudio_X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tvserver', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm-chip-tvserver', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TVServer) yield\",\n \"= target.Extend(HostBoard.NATIVE.BoardName(), board=HostBoard.NATIVE) targets = [target_native] # x64 linux supports cross compile cross_compile\",\n \"def InfineonTargets(): target = Target('infineon', InfineonBuilder) yield target.Extend('p6-lock', board=InfineonBoard.P6BOARD, app=InfineonApp.LOCK) yield target.Extend('p6-all-clusters', board=InfineonBoard.P6BOARD,\",\n \"board=MbedBoard.CY8CPROTO_062_4343W), ] app_targets = [] for target in targets: app_targets.append(target.Extend('lock', app=MbedApp.LOCK)) app_targets.append(target.Extend('light', app=MbedApp.LIGHT))\",\n \"builder.identifier = self.name builder.output_dir = os.path.join(output_prefix, self.name) builder.enable_flashbundle(enable_flashbundle) return builder def GlobBlacklist(self, reason):\",\n \"continue # Target ready to be created - no conflicts variant_target = target.Clone()\",\n \"the clone in case the default arg is used self.targets = targets[:] self.variants\",\n \"suffix, **kargs): \\\"\\\"\\\"Creates a clone of the current object extending its build parameters.\",\n \"NrfTargets(), AndroidTargets(), MbedTargets(), InfineonTargets(), AmebaTargets(), K32WTargets(), cc13x2x7_26x2x7Targets(), Cyw30739Targets(), QorvoTargets(), TizenTargets(), Bl602Targets(), IMXTargets(), ]\",\n \"def Accept(self, name: str): for s in self.substr: if s in name: return\",\n \"one by one ALL.append(Target('telink-tlsr9518adk80d-light', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.LIGHT)) ALL.append(Target('telink-tlsr9518adk80d-light-switch', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.SWITCH)) # have\",\n \"how to build it (what builder class to use and what arguments are\",\n \"def __init__(self, name: str, validator=AcceptAnyName(), conflicts: List[str] = [], requires: List[str] = [],\",\n \"requires def HasConflicts(items: List[BuildVariant]) -> bool: for a, b in combinations(items, 2): if\",\n \"builder.WhitelistVariantNameForGlob('ipv6only') for target in app_targets: if ('-rpc-console' in target.name) or ('-python-bindings' in target.name)\",\n \"ameba_target.Extend('amebad-pigweed', board=AmebaBoard.AMEBAD, app=AmebaApp.PIGWEED) def K32WTargets(): target = Target('k32w', K32WBuilder) yield target.Extend('light-ota-se', app=K32WApp.LIGHT, release=True,\",\n \"buildargs self.requires = requires def HasConflicts(items: List[BuildVariant]) -> bool: for a, b in\",\n \"enable_ble=False), builder.AppendVariant(name=\\\"no-wifi\\\", enable_wifi=False), builder.AppendVariant(name=\\\"tsan\\\", conflicts=['asan'], use_tsan=True), builder.AppendVariant(name=\\\"asan\\\", conflicts=['tsan'], use_asan=True), builder.AppendVariant(name=\\\"libfuzzer\\\", requires=[ \\\"clang\\\"], use_libfuzzer=True),\",\n \"all' to select all variants, so variants are generally glob-blacklisted. \\\"\\\"\\\" self.glob_whitelist.append(name) def\",\n \"build target: Has a name identifier plus parameters on how to build it\",\n \"efr_target.Extend('brd4164a', board=Efr32Board.BRD4164A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4166a', board=Efr32Board.BRD4166A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4170a', board=Efr32Board.BRD4170A).GlobBlacklist( 'only\",\n \"builders.cc13x2x7_26x2x7 import cc13x2x7_26x2x7App, cc13x2x7_26x2x7Builder from builders.cyw30739 import Cyw30739App, Cyw30739Board, Cyw30739Builder from builders.efr32 import\",\n \"Cyw30739Board, Cyw30739Builder from builders.efr32 import Efr32App, Efr32Board, Efr32Builder from builders.esp32 import Esp32App, Esp32Board,\",\n \"suffix: appended with a \\\"-\\\" as separator to the clone name **kargs: arguments\",\n \"another variant to accepted variants. Arguments are construction variants to BuildVariant. Example usage:\",\n \"target = Target('android', AndroidBuilder) yield target.Extend('arm-chip-tool', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tool', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TOOL) yield\",\n \"build) \\\"\\\"\\\" def __init__(self, name, builder_class, **kwargs): self.name = name self.builder_class = builder_class\",\n \"yield target.Extend('arm64-chip-tool', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x64-chip-tool', board=AndroidBoard.X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x86-chip-tool', board=AndroidBoard.X86, app=AndroidApp.CHIP_TOOL) yield\",\n \"in app_targets: if ('-rpc-console' in target.name) or ('-python-bindings' in target.name) or ('nl-test-runner' in\",\n \"board=AndroidBoard.AndroidStudio_ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x86-chip-tool', board=AndroidBoard.AndroidStudio_X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x64-chip-tool', board=AndroidBoard.AndroidStudio_X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tvserver', board=AndroidBoard.ARM64,\",\n \"board=AndroidBoard.ARM, app=AndroidApp.CHIP_TVServer) yield target.Extend('x86-chip-tvserver', board=AndroidBoard.X86, app=AndroidApp.CHIP_TVServer) yield target.Extend('x64-chip-tvserver', board=AndroidBoard.X64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm64-chip-tv-casting-app', board=AndroidBoard.ARM64,\",\n \"return clone def Extend(self, suffix, **kargs): \\\"\\\"\\\"Creates a clone of the current object\",\n \"on demand build\\\") def cc13x2x7_26x2x7Targets(): target = Target('cc13x2x7_26x2x7', cc13x2x7_26x2x7Builder) yield target.Extend('lock-ftd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=True)\",\n \"or agreed to in writing, software # distributed under the License is distributed\",\n \"builder.AppendVariant(name=\\\"no-ble\\\", enable_ble=False) builder.AppendVariant(name=\\\"no-wifi\\\", enable_wifi=False) builder.AppendVariant(name=\\\"asan\\\", use_asan=True) target = Target('tizen-arm', TizenBuilder, board=TizenBoard.ARM) builder.targets.append(target.Extend('light', app=TizenApp.LIGHT))\",\n \"= [], requires: List[str] = [], **buildargs): self.name = name self.validator = validator\",\n \"that number of potential # builds is exponential here builder.AppendVariant(name=\\\"same-event-loop\\\", validator=AcceptNameWithSubstrings( ['-chip-tool', '-chip-tool-darwin']),\",\n \"board=board, app=HostApp.TESTS) def Esp32Targets(): esp32_target = Target('esp32', Esp32Builder) yield esp32_target.Extend('m5stack-all-clusters', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS) yield\",\n \"target.name) or ('nl-test-runner' in target.name): # Single-variant builds yield target else: builder.targets.append(target) for\",\n \"# note the clone in case the default arg is used self.targets =\",\n \"app_targets = [] # Don't cross compile some builds app_targets.append( target_native.Extend('rpc-console', app=HostApp.RPC_CONSOLE)) app_targets.append(\",\n \"substr: List[str]): self.substr = substr def Accept(self, name: str): for s in self.substr:\",\n \"by one ALL.append(Target('telink-tlsr9518adk80d-light', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.LIGHT)) ALL.append(Target('telink-tlsr9518adk80d-light-switch', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.SWITCH)) # have a\",\n \"board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield esp32_target.Extend('m5stack-all-clusters-rpc', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True) yield esp32_target.Extend('m5stack-all-clusters-rpc-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True,\",\n \"requires: List[str] = [], **buildargs): self.name = name self.validator = validator self.conflicts =\",\n \"Possible build variants. # NOTE: The number of potential builds is exponential here.\",\n \"under the Apache License, Version 2.0 (the \\\"License\\\"); # you may not use\",\n \"Accept(self, name: str): return True class AcceptNameWithSubstrings: def __init__(self, substr: List[str]): self.substr =\",\n \"= self builder.identifier = self.name builder.output_dir = os.path.join(output_prefix, self.name) builder.enable_flashbundle(enable_flashbundle) return builder def\",\n \"permissions and # limitations under the License. import os from itertools import combinations\",\n \"License. # You may obtain a copy of the License at # #\",\n \"TizenBoard, TizenBuilder from builders.bl602 import Bl602App, Bl602Board, Bl602Builder from builders.imx import IMXApp, IMXBuilder\",\n \"between build variants and globbing whitelist targets. \\\"\\\"\\\" for target in self.targets: yield\",\n \"default build variants') yield variant_target def HostTargets(): target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) target_native =\",\n \"'window-covering', app=Efr32App.WINDOW_COVERING)) builder.targets.append(board_target.Extend( 'switch', app=Efr32App.SWITCH)) builder.targets.append(board_target.Extend( 'unit-test', app=Efr32App.UNIT_TEST)) builder.targets.append( board_target.Extend('light', app=Efr32App.LIGHT)) builder.targets.append(board_target.Extend('lock', app=Efr32App.LOCK))\",\n \"only yield target.Extend('nrf52840dongle-all-clusters', board=NrfBoard.NRF52840DONGLE, app=NrfApp.ALL_CLUSTERS) yield target.Extend('nrf52840dongle-light', board=NrfBoard.NRF52840DONGLE, app=NrfApp.LIGHT) for target in targets:\",\n \"governing permissions and # limitations under the License. import os from itertools import\",\n \"'only user requested'), efr_target.Extend('brd4164a', board=Efr32Board.BRD4164A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4166a', board=Efr32Board.BRD4166A).GlobBlacklist( 'only user requested'),\",\n \"requires=[ \\\"clang\\\"], use_libfuzzer=True), builder.AppendVariant(name=\\\"clang\\\", use_clang=True), builder.AppendVariant(name=\\\"test\\\", extra_tests=True), builder.WhitelistVariantNameForGlob('no-interactive-ipv6only') builder.WhitelistVariantNameForGlob('ipv6only') for target in app_targets:\",\n \"in the given list \\\"\\\"\\\" available = set([item.name for item in items]) for\",\n \"linux supports cross compile cross_compile = (HostBoard.NATIVE.PlatformName() == 'linux') and (HostBoard.NATIVE.BoardName() != HostBoard.ARM64.BoardName())\",\n \"IMXTargets(), ] for generator in target_generators: for target in generator: ALL.append(target) # Simple\",\n \"failure due to pw_build args not forwarded to proto compiler. ' 'https://pigweed-review.googlesource.com/c/pigweed/pigweed/+/66760') yield\",\n \"AcceptAnyName: def Accept(self, name: str): return True class AcceptNameWithSubstrings: def __init__(self, substr: List[str]):\",\n \"of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable\",\n \"be allowed for globbing. By default we do not want a 'build all'\",\n \"= os.path.join(output_prefix, self.name) builder.enable_flashbundle(enable_flashbundle) return builder def GlobBlacklist(self, reason): clone = self.Clone() if\",\n \"efr_target.Extend('brd4187a', board=Efr32Board.BRD4187A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4304a', board=Efr32Board.BRD4304A).GlobBlacklist( 'only user requested') ] builder =\",\n \"target.Extend('thermostat-release', app=IMXApp.THERMOSTAT, release=True) yield target.Extend('all-clusters-app-release', app=IMXApp.ALL_CLUSTERS, release=True) yield target.Extend('ota-provider-app-release', app=IMXApp.OTA_PROVIDER, release=True) ALL =\",\n \"name not in self.glob_whitelist: if not variant_target.IsGlobBlacklisted: variant_target = variant_target.GlobBlacklist( 'Reduce default build\",\n \"default build variants\\\") yield target_native.Extend('address-resolve-tool-platform-mdns', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True).GlobBlacklist(\\\"Reduce default build variants\\\") yield target_native.Extend('address-resolve-tool-platform-mdns-ipv6only', app=HostApp.ADDRESS_RESOLVE,\",\n \"rpc = rpc.GlobBlacklist( 'Compile failure due to pw_build args not forwarded to proto\",\n \"separator to the clone name **kargs: arguments needed to produce the new build\",\n \"target ok_variants = [ v for v in self.variants if v.validator.Accept(target.name)] # Build\",\n \"target_native.Extend('address-resolve-tool-platform-mdns', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True).GlobBlacklist(\\\"Reduce default build variants\\\") yield target_native.Extend('address-resolve-tool-platform-mdns-ipv6only', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True, enable_ipv4=False).GlobBlacklist(\\\"Reduce default build\",\n \"app=Efr32App.LOCK)) # Possible build variants. Note that number of potential # builds is\",\n \"target = Target('infineon', InfineonBuilder) yield target.Extend('p6-lock', board=InfineonBoard.P6BOARD, app=InfineonApp.LOCK) yield target.Extend('p6-all-clusters', board=InfineonBoard.P6BOARD, app=InfineonApp.ALL_CLUSTERS) yield\",\n \"app=HostApp.MIN_MDNS)) app_targets.append(target.Extend('light', app=HostApp.LIGHT)) app_targets.append(target.Extend('lock', app=HostApp.LOCK)) app_targets.append(target.Extend('shell', app=HostApp.SHELL)) app_targets.append(target.Extend( 'ota-provider', app=HostApp.OTA_PROVIDER, enable_ble=False)) app_targets.append(target.Extend( 'ota-requestor',\",\n \"str, enable_flashbundle: bool): builder = self.builder_class( repository_path, runner=runner, **self.create_kw_args) builder.target = self builder.identifier\",\n \"License, Version 2.0 (the \\\"License\\\"); # you may not use this file except\",\n \"target.name): # Single-variant builds yield target else: builder.targets.append(target) for target in builder.AllVariants(): if\",\n \"libreadline-dev') else: yield target # Without extra build variants yield target_native.Extend('chip-cert', app=HostApp.CERT_TOOL) yield\",\n \"TelinkApp, TelinkBoard, TelinkBuilder from builders.tizen import TizenApp, TizenBoard, TizenBuilder from builders.bl602 import Bl602App,\",\n \"item.requires is satisfied for all items in the given list \\\"\\\"\\\" available =\",\n \"generally glob-blacklisted. \\\"\\\"\\\" self.glob_whitelist.append(name) def AppendVariant(self, **args): \\\"\\\"\\\" Add another variant to accepted\",\n \"'-chip-tool-darwin']), separate_event_loop=False), builder.AppendVariant(name=\\\"no-interactive\\\", validator=AcceptNameWithSubstrings( ['-chip-tool']), interactive_mode=False), builder.AppendVariant(name=\\\"ipv6only\\\", enable_ipv4=False), builder.AppendVariant(name=\\\"no-ble\\\", enable_ble=False), builder.AppendVariant(name=\\\"no-wifi\\\", enable_wifi=False), builder.AppendVariant(name=\\\"tsan\\\",\",\n \"'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') def InfineonTargets(): target = Target('infineon', InfineonBuilder) yield target.Extend('p6-lock', board=InfineonBoard.P6BOARD, app=InfineonApp.LOCK) yield target.Extend('p6-all-clusters',\",\n \"Has a name identifier plus parameters on how to build it (what builder\",\n \"app=HostApp.TV_CASTING_APP)) app_targets.append( target_native.Extend('nl-test-runner', app=HostApp.NL_TEST_RUNNER)) for target in targets: app_targets.append(target.Extend( 'all-clusters', app=HostApp.ALL_CLUSTERS)) if (HostBoard.NATIVE.PlatformName()\",\n \"yield target.Extend('lock', board=QpgBoard.QPG6105, app=QpgApp.LOCK) yield target.Extend('light', board=QpgBoard.QPG6105, app=QpgApp.LIGHT) yield target.Extend('shell', board=QpgBoard.QPG6105, app=QpgApp.SHELL) yield\",\n \"Project CHIP Authors # # Licensed under the Apache License, Version 2.0 (the\",\n \"= Target(self.name, self.builder_class, **self.create_kw_args.copy()) clone.glob_blacklist_reason = self.glob_blacklist_reason return clone def Extend(self, suffix, **kargs):\",\n \"InfineonTargets(), AmebaTargets(), K32WTargets(), cc13x2x7_26x2x7Targets(), Cyw30739Targets(), QorvoTargets(), TizenTargets(), Bl602Targets(), IMXTargets(), ] for generator in\",\n \"'ota-provider', app=HostApp.OTA_PROVIDER, enable_ble=False)) app_targets.append(target.Extend( 'ota-requestor', app=HostApp.OTA_REQUESTOR, enable_ble=False)) app_targets.append(target.Extend('python-bindings', app=HostApp.PYTHON_BINDINGS)) builder = VariantBuilder() #\",\n \"app=AndroidApp.CHIP_TOOL) yield target.Extend('x64-chip-tool', board=AndroidBoard.X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x86-chip-tool', board=AndroidBoard.X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-test', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TEST)\",\n \"app=HostApp.CERT_TOOL) yield target_native.Extend('address-resolve-tool', app=HostApp.ADDRESS_RESOLVE) yield target_native.Extend('address-resolve-tool-clang', app=HostApp.ADDRESS_RESOLVE, use_clang=True).GlobBlacklist(\\\"Reduce default build variants\\\") yield target_native.Extend('address-resolve-tool-platform-mdns',\",\n \"for target in builder.AllVariants(): if cross_compile and 'chip-tool' in target.name and 'arm64' in\",\n \"name **kargs: arguments needed to produce the new build variant \\\"\\\"\\\" clone =\",\n \"limitations under the License. import os from itertools import combinations from typing import\",\n \"app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tool', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x64-chip-tool', board=AndroidBoard.X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x86-chip-tool', board=AndroidBoard.X86, app=AndroidApp.CHIP_TOOL)\",\n \"user requested'), efr_target.Extend('brd4304a', board=Efr32Board.BRD4304A).GlobBlacklist( 'only user requested') ] builder = VariantBuilder() for board_target\",\n \"the default sysroot yield target.GlobBlacklist('Arm crosscompile does not support libreadline-dev') else: yield target\",\n \"copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by\",\n \"app=AndroidApp.CHIP_TEST) yield target.Extend('androidstudio-arm-chip-tool', board=AndroidBoard.AndroidStudio_ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-arm64-chip-tool', board=AndroidBoard.AndroidStudio_ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x86-chip-tool', board=AndroidBoard.AndroidStudio_X86, app=AndroidApp.CHIP_TOOL)\",\n \"proto compiler. ' 'https://pigweed-review.googlesource.com/c/pigweed/pigweed/+/66760') yield rpc def AndroidTargets(): target = Target('android', AndroidBuilder) yield\",\n \"variants\\\") yield target_native.Extend('address-resolve-tool-platform-mdns-ipv6only', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True, enable_ipv4=False).GlobBlacklist(\\\"Reduce default build variants\\\") test_target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder)\",\n \"HostBuilder from builders.infineon import InfineonApp, InfineonBoard, InfineonBuilder from builders.k32w import K32WApp, K32WBuilder from\",\n \"app=HostApp.OTA_REQUESTOR, enable_ble=False)) app_targets.append(target.Extend('python-bindings', app=HostApp.PYTHON_BINDINGS)) builder = VariantBuilder() # Possible build variants. Note that\",\n \"requirement not in available: return False return True class VariantBuilder: \\\"\\\"\\\"Handles creating multiple\",\n \"from builders.imx import IMXApp, IMXBuilder class Target: \\\"\\\"\\\"Represents a build target: Has a\",\n \"Add another variant to accepted variants. Arguments are construction variants to BuildVariant. Example\",\n \"yield target.Extend('lock-ftd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=True) yield target.Extend('lock-mtd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=False) yield target.Extend('pump', app=cc13x2x7_26x2x7App.PUMP) yield target.Extend('pump-controller',\",\n \"yield target.Extend('light', board=Bl602Board.BL602BOARD, app=Bl602App.LIGHT) def IMXTargets(): target = Target('imx', IMXBuilder) yield target.Extend('chip-tool', app=IMXApp.CHIP_TOOL)\",\n \"required to produce the specified build) \\\"\\\"\\\" def __init__(self, name, builder_class, **kwargs): self.name\",\n \"Target('android', AndroidBuilder) yield target.Extend('arm-chip-tool', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tool', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x64-chip-tool', board=AndroidBoard.X64,\",\n \"app=K32WApp.LIGHT, tokenizer=True, disable_ota=True, release=True) yield target.Extend('shell-release', app=K32WApp.SHELL, release=True) yield target.Extend('lock-release', app=K32WApp.LOCK, release=True) yield\",\n \"variants based on a starting target. \\\"\\\"\\\" def __init__(self, targets: List[Target] = []):\",\n \"[] target_generators = [ HostTargets(), Esp32Targets(), Efr32Targets(), NrfTargets(), AndroidTargets(), MbedTargets(), InfineonTargets(), AmebaTargets(), K32WTargets(),\",\n \"'only user requested'), efr_target.Extend('brd4186a', board=Efr32Board.BRD4186A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4187a', board=Efr32Board.BRD4187A).GlobBlacklist( 'only user requested'),\",\n \"target = Target('tizen-arm', TizenBuilder, board=TizenBoard.ARM) builder.targets.append(target.Extend('light', app=TizenApp.LIGHT)) for target in builder.AllVariants(): yield target\",\n \"app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True, enable_ipv4=False).GlobBlacklist(\\\"Reduce default build variants\\\") test_target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) for board in\",\n \"in target.name and 'arm64' in target.name and '-no-interactive' not in target.name: # Interactive\",\n \"Target('cyw30739-cyw930739m2evb_01-ota-requestor-no-progress-logging', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR, progress_logging=False) def QorvoTargets(): target = Target('qpg', QpgBuilder) yield target.Extend('lock',\",\n \"for v in self.variants if v.validator.Accept(target.name)] # Build every possible variant for variant_count\",\n \"subgroup: variant_target = variant_target.Extend( option.name, **option.buildargs) # Only a few are whitelisted for\",\n \"TizenBuilder, board=TizenBoard.ARM) builder.targets.append(target.Extend('light', app=TizenApp.LIGHT)) for target in builder.AllVariants(): yield target def Bl602Targets(): target\",\n \"\\\"\\\"\\\" for target in self.targets: yield target # skip variants that do not\",\n \"AndroidBuilder from builders.cc13x2x7_26x2x7 import cc13x2x7_26x2x7App, cc13x2x7_26x2x7Builder from builders.cyw30739 import Cyw30739App, Cyw30739Board, Cyw30739Builder from\",\n \"targets added one by one ALL.append(Target('telink-tlsr9518adk80d-light', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.LIGHT)) ALL.append(Target('telink-tlsr9518adk80d-light-switch', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.SWITCH))\",\n \"target.Extend('arm64-chip-test', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TEST) yield target.Extend('androidstudio-arm-chip-tool', board=AndroidBoard.AndroidStudio_ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-arm64-chip-tool', board=AndroidBoard.AndroidStudio_ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x86-chip-tool',\",\n \"in target.name) or ('nl-test-runner' in target.name): # Single-variant builds yield target else: builder.targets.append(target)\",\n \"parameters. Arguments: suffix: appended with a \\\"-\\\" as separator to the clone name\",\n \"def AllVariants(self): \\\"\\\"\\\" Yields a list of acceptable variants for the given targets.\",\n \"= Target(HostBoard.NATIVE.PlatformName(), HostBuilder) target_native = target.Extend(HostBoard.NATIVE.BoardName(), board=HostBoard.NATIVE) targets = [target_native] # x64 linux\",\n \"or implied. # See the License for the specific language governing permissions and\",\n \"app=IMXApp.LIGHT, release=True) yield target.Extend('thermostat-release', app=IMXApp.THERMOSTAT, release=True) yield target.Extend('all-clusters-app-release', app=IMXApp.ALL_CLUSTERS, release=True) yield target.Extend('ota-provider-app-release', app=IMXApp.OTA_PROVIDER,\",\n \"builder.AppendVariant(name=\\\"no-wifi\\\", enable_wifi=False) builder.AppendVariant(name=\\\"asan\\\", use_asan=True) target = Target('tizen-arm', TizenBuilder, board=TizenBoard.ARM) builder.targets.append(target.Extend('light', app=TizenApp.LIGHT)) for target\",\n \"as separator to the clone name **kargs: arguments needed to produce the new\",\n \"-> bool: \\\"\\\"\\\" Check that item.requires is satisfied for all items in the\",\n \"def TizenTargets(): # Possible build variants. # NOTE: The number of potential builds\",\n \"for subgroup in combinations(ok_variants, variant_count): if HasConflicts(subgroup): continue if not AllRequirementsMet(subgroup): continue #\",\n \"builder.targets.append(board_target.Extend('lock', app=Efr32App.LOCK)) # Possible build variants. Note that number of potential # builds\",\n \"from builders.ameba import AmebaApp, AmebaBoard, AmebaBuilder from builders.android import AndroidApp, AndroidBoard, AndroidBuilder from\",\n \"MbedProfile from builders.nrf import NrfApp, NrfBoard, NrfConnectBuilder from builders.qpg import QpgApp, QpgBoard, QpgBuilder\",\n \"for s in self.substr: if s in name: return True return False class\",\n \"builders.imx import IMXApp, IMXBuilder class Target: \\\"\\\"\\\"Represents a build target: Has a name\",\n \"InfineonBoard, InfineonBuilder from builders.k32w import K32WApp, K32WBuilder from builders.mbed import MbedApp, MbedBoard, MbedBuilder,\",\n \"QpgBuilder) yield target.Extend('lock', board=QpgBoard.QPG6105, app=QpgApp.LOCK) yield target.Extend('light', board=QpgBoard.QPG6105, app=QpgApp.LIGHT) yield target.Extend('shell', board=QpgBoard.QPG6105, app=QpgApp.SHELL)\",\n \"= name self.builder_class = builder_class self.glob_blacklist_reason = None self.create_kw_args = kwargs def Clone(self):\",\n \"esp32_target.Extend('devkitc', board=Esp32Board.DevKitC) yield devkitc.Extend('all-clusters', app=Esp32App.ALL_CLUSTERS) yield devkitc.Extend('all-clusters-ipv6only', app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield devkitc.Extend('shell', app=Esp32App.SHELL) yield\",\n \"yield target.Extend('light-release-no-ota', app=K32WApp.LIGHT, tokenizer=True, disable_ota=True, release=True) yield target.Extend('shell-release', app=K32WApp.SHELL, release=True) yield target.Extend('lock-release', app=K32WApp.LOCK,\",\n \"targets. Handles conflict resolution between build variants and globbing whitelist targets. \\\"\\\"\\\" for\",\n \"item.requires: if requirement not in available: return False return True class VariantBuilder: \\\"\\\"\\\"Handles\",\n \"VariantBuilder: \\\"\\\"\\\"Handles creating multiple build variants based on a starting target. \\\"\\\"\\\" def\",\n \"app=QpgApp.PERSISTENT_STORAGE) def TizenTargets(): # Possible build variants. # NOTE: The number of potential\",\n \"target_native.Extend('address-resolve-tool-platform-mdns-ipv6only', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True, enable_ipv4=False).GlobBlacklist(\\\"Reduce default build variants\\\") test_target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) for board\",\n \"str, validator=AcceptAnyName(), conflicts: List[str] = [], requires: List[str] = [], **buildargs): self.name =\",\n \"def IMXTargets(): target = Target('imx', IMXBuilder) yield target.Extend('chip-tool', app=IMXApp.CHIP_TOOL) yield target.Extend('lighting-app', app=IMXApp.LIGHT) yield\",\n \"openthread_ftd=False) yield target.Extend('pump', app=cc13x2x7_26x2x7App.PUMP) yield target.Extend('pump-controller', app=cc13x2x7_26x2x7App.PUMP_CONTROLLER) yield target.Extend('all-clusters', app=cc13x2x7_26x2x7App.ALL_CLUSTERS) yield target.Extend('shell', app=cc13x2x7_26x2x7App.SHELL)\",\n \"app=NrfApp.LIGHT) yield target.Extend('shell', app=NrfApp.SHELL) yield target.Extend('pump', app=NrfApp.PUMP) yield target.Extend('pump-controller', app=NrfApp.PUMP_CONTROLLER) rpc = target.Extend('light-rpc',\",\n \"board_targets: builder.targets.append(board_target.Extend( 'window-covering', app=Efr32App.WINDOW_COVERING)) builder.targets.append(board_target.Extend( 'switch', app=Efr32App.SWITCH)) builder.targets.append(board_target.Extend( 'unit-test', app=Efr32App.UNIT_TEST)) builder.targets.append( board_target.Extend('light', app=Efr32App.LIGHT))\",\n \"app=IMXApp.CHIP_TOOL) yield target.Extend('lighting-app', app=IMXApp.LIGHT) yield target.Extend('thermostat', app=IMXApp.THERMOSTAT) yield target.Extend('all-clusters-app', app=IMXApp.ALL_CLUSTERS) yield target.Extend('ota-provider-app', app=IMXApp.OTA_PROVIDER)\",\n \"variant_target.Extend( option.name, **option.buildargs) # Only a few are whitelisted for globs name =\",\n \"builder.target = self builder.identifier = self.name builder.output_dir = os.path.join(output_prefix, self.name) builder.enable_flashbundle(enable_flashbundle) return builder\",\n \"app=Esp32App.ALL_CLUSTERS, enable_rpcs=True, enable_ipv4=False) yield esp32_target.Extend('c3devkit-all-clusters', board=Esp32Board.C3DevKit, app=Esp32App.ALL_CLUSTERS) devkitc = esp32_target.Extend('devkitc', board=Esp32Board.DevKitC) yield devkitc.Extend('all-clusters',\",\n \"to produce the new build variant \\\"\\\"\\\" clone = self.Clone() clone.name += \\\"-\\\"\",\n \"targets = [target_native] # x64 linux supports cross compile cross_compile = (HostBoard.NATIVE.PlatformName() ==\",\n \"use this file except in compliance with the License. # You may obtain\",\n \"clone name **kargs: arguments needed to produce the new build variant \\\"\\\"\\\" clone\",\n \"IMXTargets(): target = Target('imx', IMXBuilder) yield target.Extend('chip-tool', app=IMXApp.CHIP_TOOL) yield target.Extend('lighting-app', app=IMXApp.LIGHT) yield target.Extend('thermostat',\",\n \"sysroot yield target.GlobBlacklist('Arm crosscompile does not support libreadline-dev') else: yield target # Without\",\n \"yield target.Extend('all-clusters', app=cc13x2x7_26x2x7App.ALL_CLUSTERS) yield target.Extend('shell', app=cc13x2x7_26x2x7App.SHELL) def Cyw30739Targets(): yield Target('cyw30739-cyw930739m2evb_01-light', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LIGHT)\",\n \"enable_rpcs=True) builder.AppendVariant(name=\\\"with-ota-requestor\\\", enable_ota_requestor=True) builder.WhitelistVariantNameForGlob('rpc') for target in builder.AllVariants(): yield target def NrfTargets(): target\",\n \"' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') def InfineonTargets(): target = Target('infineon', InfineonBuilder) yield target.Extend('p6-lock', board=InfineonBoard.P6BOARD, app=InfineonApp.LOCK) yield\",\n \"name): \\\"\\\"\\\" Whitelist the specified variant to be allowed for globbing. By default\",\n \"self.Clone() clone.name += \\\"-\\\" + suffix clone.create_kw_args.update(kargs) return clone def Create(self, runner, repository_path:\",\n \"QpgBuilder from builders.telink import TelinkApp, TelinkBoard, TelinkBuilder from builders.tizen import TizenApp, TizenBoard, TizenBuilder\",\n \"builders.cyw30739 import Cyw30739App, Cyw30739Board, Cyw30739Builder from builders.efr32 import Efr32App, Efr32Board, Efr32Builder from builders.esp32\",\n \"NrfConnectBuilder from builders.qpg import QpgApp, QpgBoard, QpgBuilder from builders.telink import TelinkApp, TelinkBoard, TelinkBuilder\",\n \"target.Extend('nrf52840dongle-light', board=NrfBoard.NRF52840DONGLE, app=NrfApp.LIGHT) for target in targets: yield target.Extend('all-clusters', app=NrfApp.ALL_CLUSTERS) yield target.Extend('lock', app=NrfApp.LOCK)\",\n \"Target('cyw30739-cyw930739m2evb_01-ota-requestor', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR).GlobBlacklist( \\\"Running out of XIP flash space\\\") yield Target('cyw30739-cyw930739m2evb_01-ota-requestor-no-progress-logging', Cyw30739Builder,\",\n \"True return False def AllRequirementsMet(items: List[BuildVariant]) -> bool: \\\"\\\"\\\" Check that item.requires is\",\n \"from builders.cyw30739 import Cyw30739App, Cyw30739Board, Cyw30739Builder from builders.efr32 import Efr32App, Efr32Board, Efr32Builder from\",\n \"builder = VariantBuilder() # Possible build variants. Note that number of potential #\",\n \"app=Cyw30739App.LIGHT) yield Target('cyw30739-cyw930739m2evb_01-lock', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LOCK) yield Target('cyw30739-cyw930739m2evb_01-ota-requestor', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR).GlobBlacklist( \\\"Running out\",\n \"release=True) ALL = [] target_generators = [ HostTargets(), Esp32Targets(), Efr32Targets(), NrfTargets(), AndroidTargets(), MbedTargets(),\",\n \"= Target('mbed', MbedBuilder) targets = [ target.Extend('CY8CPROTO_062_4343W', board=MbedBoard.CY8CPROTO_062_4343W), ] app_targets = [] for\",\n \"== 'linux') and (HostBoard.NATIVE.BoardName() != HostBoard.ARM64.BoardName()) if cross_compile: targets.append(target.Extend('arm64', board=HostBoard.ARM64)) app_targets = []\",\n \"board=InfineonBoard.P6BOARD, app=InfineonApp.LOCK) yield target.Extend('p6-all-clusters', board=InfineonBoard.P6BOARD, app=InfineonApp.ALL_CLUSTERS) yield target.Extend('p6-light', board=InfineonBoard.P6BOARD, app=InfineonApp.LIGHT) def AmebaTargets(): ameba_target\",\n \"app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tvserver', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm-chip-tvserver', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TVServer) yield target.Extend('x86-chip-tvserver', board=AndroidBoard.X86, app=AndroidApp.CHIP_TVServer)\",\n \"combinations(items, 2): if (a.name in b.conflicts) or (b.name in a.conflicts): return True return\",\n \"efr_target.Extend('brd4186a', board=Efr32Board.BRD4186A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4187a', board=Efr32Board.BRD4187A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4304a', board=Efr32Board.BRD4304A).GlobBlacklist( 'only\",\n \"AndroidApp, AndroidBoard, AndroidBuilder from builders.cc13x2x7_26x2x7 import cc13x2x7_26x2x7App, cc13x2x7_26x2x7Builder from builders.cyw30739 import Cyw30739App, Cyw30739Board,\",\n \"app=InfineonApp.LIGHT) def AmebaTargets(): ameba_target = Target('ameba', AmebaBuilder) yield ameba_target.Extend('amebad-all-clusters', board=AmebaBoard.AMEBAD, app=AmebaApp.ALL_CLUSTERS) yield ameba_target.Extend('amebad-light',\",\n \"def cc13x2x7_26x2x7Targets(): target = Target('cc13x2x7_26x2x7', cc13x2x7_26x2x7Builder) yield target.Extend('lock-ftd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=True) yield target.Extend('lock-mtd', app=cc13x2x7_26x2x7App.LOCK,\",\n \"K32WTargets(), cc13x2x7_26x2x7Targets(), Cyw30739Targets(), QorvoTargets(), TizenTargets(), Bl602Targets(), IMXTargets(), ] for generator in target_generators: for\",\n \"a list of acceptable variants for the given targets. Handles conflict resolution between\",\n \"specified build) \\\"\\\"\\\" def __init__(self, name, builder_class, **kwargs): self.name = name self.builder_class =\",\n \"exponential here. builder = VariantBuilder() builder.AppendVariant(name=\\\"no-ble\\\", enable_ble=False) builder.AppendVariant(name=\\\"no-wifi\\\", enable_wifi=False) builder.AppendVariant(name=\\\"asan\\\", use_asan=True) target =\",\n \"target def Bl602Targets(): target = Target('bl602', Bl602Builder) yield target.Extend('light', board=Bl602Board.BL602BOARD, app=Bl602App.LIGHT) def IMXTargets():\",\n \"cross_compile: targets.append(target.Extend('arm64', board=HostBoard.ARM64)) app_targets = [] # Don't cross compile some builds app_targets.append(\",\n \"yield target.Extend('lighting-app-release', app=IMXApp.LIGHT, release=True) yield target.Extend('thermostat-release', app=IMXApp.THERMOSTAT, release=True) yield target.Extend('all-clusters-app-release', app=IMXApp.ALL_CLUSTERS, release=True) yield\",\n \"builder.AppendVariant(name=\\\"ipv6only\\\", enable_ipv4=False), builder.AppendVariant(name=\\\"no-ble\\\", enable_ble=False), builder.AppendVariant(name=\\\"no-wifi\\\", enable_wifi=False), builder.AppendVariant(name=\\\"tsan\\\", conflicts=['asan'], use_tsan=True), builder.AppendVariant(name=\\\"asan\\\", conflicts=['tsan'], use_asan=True), builder.AppendVariant(name=\\\"libfuzzer\\\",\",\n \"board=InfineonBoard.P6BOARD, app=InfineonApp.LIGHT) def AmebaTargets(): ameba_target = Target('ameba', AmebaBuilder) yield ameba_target.Extend('amebad-all-clusters', board=AmebaBoard.AMEBAD, app=AmebaApp.ALL_CLUSTERS) yield\",\n \"[ v for v in self.variants if v.validator.Accept(target.name)] # Build every possible variant\",\n \"runner=runner, **self.create_kw_args) builder.target = self builder.identifier = self.name builder.output_dir = os.path.join(output_prefix, self.name) builder.enable_flashbundle(enable_flashbundle)\",\n \"build variants. Note that number of potential # builds is exponential here builder.AppendVariant(name=\\\"rpc\\\",\",\n \"in self.glob_whitelist: if not variant_target.IsGlobBlacklisted: variant_target = variant_target.GlobBlacklist( 'Reduce default build variants') yield\",\n \"yield target.Extend('light', board=QpgBoard.QPG6105, app=QpgApp.LIGHT) yield target.Extend('shell', board=QpgBoard.QPG6105, app=QpgApp.SHELL) yield target.Extend('persistent-storage', board=QpgBoard.QPG6105, app=QpgApp.PERSISTENT_STORAGE) def\",\n \"an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either\",\n \"out of XIP flash space\\\") yield Target('cyw30739-cyw930739m2evb_01-ota-requestor-no-progress-logging', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR, progress_logging=False) def QorvoTargets():\",\n \"starting target. \\\"\\\"\\\" def __init__(self, targets: List[Target] = []): # note the clone\",\n \"= Target(HostBoard.NATIVE.PlatformName(), HostBuilder) for board in [HostBoard.NATIVE, HostBoard.FAKE]: yield test_target.Extend(board.BoardName() + '-tests', board=board,\",\n \"Esp32Board, Esp32Builder from builders.host import HostApp, HostBoard, HostBuilder from builders.infineon import InfineonApp, InfineonBoard,\",\n \"from builders.mbed import MbedApp, MbedBoard, MbedBuilder, MbedProfile from builders.nrf import NrfApp, NrfBoard, NrfConnectBuilder\",\n \"if s in name: return True return False class BuildVariant: def __init__(self, name:\",\n \"not in self.glob_whitelist: if not variant_target.IsGlobBlacklisted: variant_target = variant_target.GlobBlacklist( 'Reduce default build variants')\",\n \"for board in [HostBoard.NATIVE, HostBoard.FAKE]: yield test_target.Extend(board.BoardName() + '-tests', board=board, app=HostApp.TESTS) def Esp32Targets():\",\n \"import TelinkApp, TelinkBoard, TelinkBuilder from builders.tizen import TizenApp, TizenBoard, TizenBuilder from builders.bl602 import\",\n \"builder.WhitelistVariantNameForGlob('rpc') for target in builder.AllVariants(): yield target def NrfTargets(): target = Target('nrf', NrfConnectBuilder)\",\n \"= Target('k32w', K32WBuilder) yield target.Extend('light-ota-se', app=K32WApp.LIGHT, release=True, disable_ble=True, se05x=True).GlobBlacklist(\\\"Only on demand build\\\") yield\",\n \"number of potential # builds is exponential here builder.AppendVariant(name=\\\"rpc\\\", validator=AcceptNameWithSubstrings( ['-light', '-lock']), enable_rpcs=True)\",\n \"yield Target('cyw30739-cyw930739m2evb_01-ota-requestor', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR).GlobBlacklist( \\\"Running out of XIP flash space\\\") yield Target('cyw30739-cyw930739m2evb_01-ota-requestor-no-progress-logging',\",\n \"# distributed under the License is distributed on an \\\"AS IS\\\" BASIS, #\",\n \"os from itertools import combinations from typing import List from builders.ameba import AmebaApp,\",\n \"conflicts variant_target = target.Clone() for option in subgroup: variant_target = variant_target.Extend( option.name, **option.buildargs)\",\n \"yield target.Extend('shell', app=NrfApp.SHELL) yield target.Extend('pump', app=NrfApp.PUMP) yield target.Extend('pump-controller', app=NrfApp.PUMP_CONTROLLER) rpc = target.Extend('light-rpc', app=NrfApp.LIGHT,\",\n \"def __init__(self, targets: List[Target] = []): # note the clone in case the\",\n \"esp32_target = Target('esp32', Esp32Builder) yield esp32_target.Extend('m5stack-all-clusters', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS) yield esp32_target.Extend('m5stack-all-clusters-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_ipv4=False)\",\n \"is exponential here builder.AppendVariant(name=\\\"same-event-loop\\\", validator=AcceptNameWithSubstrings( ['-chip-tool', '-chip-tool-darwin']), separate_event_loop=False), builder.AppendVariant(name=\\\"no-interactive\\\", validator=AcceptNameWithSubstrings( ['-chip-tool']), interactive_mode=False), builder.AppendVariant(name=\\\"ipv6only\\\",\",\n \"# Build every possible variant for variant_count in range(1, len(ok_variants) + 1): for\",\n \"a.conflicts): return True return False def AllRequirementsMet(items: List[BuildVariant]) -> bool: \\\"\\\"\\\" Check that\",\n \"app=Esp32App.BRIDGE) yield devkitc.Extend('temperature-measurement', app=Esp32App.TEMPERATURE_MEASUREMENT) yield devkitc.Extend('temperature-measurement-rpc', app=Esp32App.TEMPERATURE_MEASUREMENT, enable_rpcs=True) yield esp32_target.Extend('qemu-tests', board=Esp32Board.QEMU, app=Esp32App.TESTS) def\",\n \"app=MbedApp.ALL_CLUSTERS)) app_targets.append(target.Extend('pigweed', app=MbedApp.PIGWEED)) app_targets.append(target.Extend('shell', app=MbedApp.SHELL)) for target in app_targets: yield target.Extend('release', profile=MbedProfile.RELEASE) yield\",\n \"('-rpc-console' in target.name) or ('-python-bindings' in target.name) or ('nl-test-runner' in target.name): # Single-variant\",\n \"# Possible build variants. Note that number of potential # builds is exponential\",\n \"it (what builder class to use and what arguments are required to produce\",\n \"target.Extend('light-rpc', app=NrfApp.LIGHT, enable_rpcs=True) if '-nrf5340dk-' in rpc.name: rpc = rpc.GlobBlacklist( 'Compile failure due\",\n \"app=AndroidApp.CHIP_TVServer) yield target.Extend('arm-chip-tvserver', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TVServer) yield target.Extend('x86-chip-tvserver', board=AndroidBoard.X86, app=AndroidApp.CHIP_TVServer) yield target.Extend('x64-chip-tvserver', board=AndroidBoard.X64, app=AndroidApp.CHIP_TVServer)\",\n \"with the License. # You may obtain a copy of the License at\",\n \"self.glob_blacklist_reason = None self.create_kw_args = kwargs def Clone(self): \\\"\\\"\\\"Creates a clone of self.\\\"\\\"\\\"\",\n \"MbedTargets(): target = Target('mbed', MbedBuilder) targets = [ target.Extend('CY8CPROTO_062_4343W', board=MbedBoard.CY8CPROTO_062_4343W), ] app_targets =\",\n \"= self.Clone() if clone.glob_blacklist_reason: clone.glob_blacklist_reason += \\\", \\\" clone.glob_blacklist_reason += reason else: clone.glob_blacklist_reason\",\n \"yield target.Extend('arm-chip-tvserver', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TVServer) yield target.Extend('x86-chip-tvserver', board=AndroidBoard.X86, app=AndroidApp.CHIP_TVServer) yield target.Extend('x64-chip-tvserver', board=AndroidBoard.X64, app=AndroidApp.CHIP_TVServer) yield\",\n \"is not None @property def GlobBlacklistReason(self): return self.glob_blacklist_reason class AcceptAnyName: def Accept(self, name:\",\n \"not compile by default on arm cross compiles # because libreadline is not\",\n \"yield target.Extend('androidstudio-x86-chip-tool', board=AndroidBoard.AndroidStudio_X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x64-chip-tool', board=AndroidBoard.AndroidStudio_X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tvserver', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TVServer) yield\",\n \"law or agreed to in writing, software # distributed under the License is\",\n \"parameters on how to build it (what builder class to use and what\",\n \"profile=MbedProfile.RELEASE) yield target.Extend('develop', profile=MbedProfile.DEVELOP).GlobBlacklist( 'Compile only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') yield\",\n \"from builders.tizen import TizenApp, TizenBoard, TizenBuilder from builders.bl602 import Bl602App, Bl602Board, Bl602Builder from\",\n \"target.Extend('x64-chip-tvserver', board=AndroidBoard.X64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm64-chip-tv-casting-app', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TV_CASTING_APP) yield target.Extend('arm-chip-tv-casting-app', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TV_CASTING_APP) def MbedTargets():\",\n \"Target('cc13x2x7_26x2x7', cc13x2x7_26x2x7Builder) yield target.Extend('lock-ftd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=True) yield target.Extend('lock-mtd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=False) yield target.Extend('pump', app=cc13x2x7_26x2x7App.PUMP)\",\n \"yield target_native.Extend('chip-cert', app=HostApp.CERT_TOOL) yield target_native.Extend('address-resolve-tool', app=HostApp.ADDRESS_RESOLVE) yield target_native.Extend('address-resolve-tool-clang', app=HostApp.ADDRESS_RESOLVE, use_clang=True).GlobBlacklist(\\\"Reduce default build variants\\\")\",\n \"target.Extend('nrf52840dk', board=NrfBoard.NRF52840DK), ] # Enable nrf52840dongle for all-clusters and lighting app only yield\",\n \"] for generator in target_generators: for target in generator: ALL.append(target) # Simple targets\",\n \"ok_variants = [ v for v in self.variants if v.validator.Accept(target.name)] # Build every\",\n \"cc13x2x7_26x2x7Builder) yield target.Extend('lock-ftd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=True) yield target.Extend('lock-mtd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=False) yield target.Extend('pump', app=cc13x2x7_26x2x7App.PUMP) yield\",\n \"TizenTargets(): # Possible build variants. # NOTE: The number of potential builds is\",\n \"in target.name) or ('-python-bindings' in target.name) or ('nl-test-runner' in target.name): # Single-variant builds\",\n \"yield Target('cyw30739-cyw930739m2evb_01-lock', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LOCK) yield Target('cyw30739-cyw930739m2evb_01-ota-requestor', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR).GlobBlacklist( \\\"Running out of\",\n \"yield target.Extend('p6-all-clusters', board=InfineonBoard.P6BOARD, app=InfineonApp.ALL_CLUSTERS) yield target.Extend('p6-light', board=InfineonBoard.P6BOARD, app=InfineonApp.LIGHT) def AmebaTargets(): ameba_target = Target('ameba',\",\n \"NrfTargets(): target = Target('nrf', NrfConnectBuilder) yield target.Extend('native-posix-64-tests', board=NrfBoard.NATIVE_POSIX_64, app=NrfApp.UNIT_TESTS) targets = [ target.Extend('nrf5340dk',\",\n \"builder.AppendVariant(name=\\\"asan\\\", conflicts=['tsan'], use_asan=True), builder.AppendVariant(name=\\\"libfuzzer\\\", requires=[ \\\"clang\\\"], use_libfuzzer=True), builder.AppendVariant(name=\\\"clang\\\", use_clang=True), builder.AppendVariant(name=\\\"test\\\", extra_tests=True), builder.WhitelistVariantNameForGlob('no-interactive-ipv6only') builder.WhitelistVariantNameForGlob('ipv6only')\",\n \"builder.AppendVariant(name=\\\"ipv6only\\\", enable_ipv4=False) \\\"\\\"\\\" self.variants.append(BuildVariant(**args)) def AllVariants(self): \\\"\\\"\\\" Yields a list of acceptable variants\",\n \"in compliance with the License. # You may obtain a copy of the\",\n \"License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or\",\n \"all-clusters and lighting app only yield target.Extend('nrf52840dongle-all-clusters', board=NrfBoard.NRF52840DONGLE, app=NrfApp.ALL_CLUSTERS) yield target.Extend('nrf52840dongle-light', board=NrfBoard.NRF52840DONGLE, app=NrfApp.LIGHT)\",\n \"in self.targets: yield target # skip variants that do not work for this\",\n \"release=True) yield target.Extend('lock-release', app=K32WApp.LOCK, release=True) yield target.Extend('lock-low-power-release', app=K32WApp.LOCK, low_power=True, release=True).GlobBlacklist(\\\"Only on demand build\\\")\",\n \"builds will not compile by default on arm cross compiles # because libreadline\",\n \"acceptable variants for the given targets. Handles conflict resolution between build variants and\",\n \"K32WBuilder from builders.mbed import MbedApp, MbedBoard, MbedBuilder, MbedProfile from builders.nrf import NrfApp, NrfBoard,\",\n \"and # limitations under the License. import os from itertools import combinations from\",\n \"import Esp32App, Esp32Board, Esp32Builder from builders.host import HostApp, HostBoard, HostBuilder from builders.infineon import\",\n \"variant_target = variant_target.Extend( option.name, **option.buildargs) # Only a few are whitelisted for globs\",\n \"board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True) yield esp32_target.Extend('m5stack-all-clusters-rpc-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True, enable_ipv4=False) yield esp32_target.Extend('c3devkit-all-clusters', board=Esp32Board.C3DevKit, app=Esp32App.ALL_CLUSTERS)\",\n \"+ 1): for subgroup in combinations(ok_variants, variant_count): if HasConflicts(subgroup): continue if not AllRequirementsMet(subgroup):\",\n \"BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\",\n \"to produce the specified build) \\\"\\\"\\\" def __init__(self, name, builder_class, **kwargs): self.name =\",\n \"@property def GlobBlacklistReason(self): return self.glob_blacklist_reason class AcceptAnyName: def Accept(self, name: str): return True\",\n \"a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required\",\n \"target.Extend('ota-provider-app-release', app=IMXApp.OTA_PROVIDER, release=True) ALL = [] target_generators = [ HostTargets(), Esp32Targets(), Efr32Targets(), NrfTargets(),\",\n \"because libreadline is not part of the default sysroot yield target.GlobBlacklist('Arm crosscompile does\",\n \"on arm cross compiles # because libreadline is not part of the default\",\n \"Bl602App, Bl602Board, Bl602Builder from builders.imx import IMXApp, IMXBuilder class Target: \\\"\\\"\\\"Represents a build\",\n \"'only user requested'), efr_target.Extend('brd4304a', board=Efr32Board.BRD4304A).GlobBlacklist( 'only user requested') ] builder = VariantBuilder() for\",\n \"here. builder = VariantBuilder() builder.AppendVariant(name=\\\"no-ble\\\", enable_ble=False) builder.AppendVariant(name=\\\"no-wifi\\\", enable_wifi=False) builder.AppendVariant(name=\\\"asan\\\", use_asan=True) target = Target('tizen-arm',\",\n \"compiler. ' 'https://pigweed-review.googlesource.com/c/pigweed/pigweed/+/66760') yield rpc def AndroidTargets(): target = Target('android', AndroidBuilder) yield target.Extend('arm-chip-tool',\",\n \"str, output_prefix: str, enable_flashbundle: bool): builder = self.builder_class( repository_path, runner=runner, **self.create_kw_args) builder.target =\",\n \"target.Extend('pump-controller', app=NrfApp.PUMP_CONTROLLER) rpc = target.Extend('light-rpc', app=NrfApp.LIGHT, enable_rpcs=True) if '-nrf5340dk-' in rpc.name: rpc =\",\n \"target = Target('imx', IMXBuilder) yield target.Extend('chip-tool', app=IMXApp.CHIP_TOOL) yield target.Extend('lighting-app', app=IMXApp.LIGHT) yield target.Extend('thermostat', app=IMXApp.THERMOSTAT)\",\n \"<filename>scripts/build/build/targets.py # Copyright (c) 2021 Project CHIP Authors # # Licensed under the\",\n \"builds yield target else: builder.targets.append(target) for target in builder.AllVariants(): if cross_compile and 'chip-tool'\",\n \"builder.AllVariants(): if cross_compile and 'chip-tool' in target.name and 'arm64' in target.name and '-no-interactive'\",\n \"app=IMXApp.OTA_PROVIDER) yield target.Extend('chip-tool-release', app=IMXApp.CHIP_TOOL, release=True) yield target.Extend('lighting-app-release', app=IMXApp.LIGHT, release=True) yield target.Extend('thermostat-release', app=IMXApp.THERMOSTAT, release=True)\",\n \"for option in subgroup: variant_target = variant_target.Extend( option.name, **option.buildargs) # Only a few\",\n \"s in self.substr: if s in name: return True return False class BuildVariant:\",\n \"\\\"\\\"\\\" def __init__(self, name, builder_class, **kwargs): self.name = name self.builder_class = builder_class self.glob_blacklist_reason\",\n \"devkitc.Extend('all-clusters-ipv6only', app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield devkitc.Extend('shell', app=Esp32App.SHELL) yield devkitc.Extend('light', app=Esp32App.LIGHT) yield devkitc.Extend('lock', app=Esp32App.LOCK) yield\",\n \"rpc.GlobBlacklist( 'Compile failure due to pw_build args not forwarded to proto compiler. '\",\n \"app=AndroidApp.CHIP_TV_CASTING_APP) yield target.Extend('arm-chip-tv-casting-app', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TV_CASTING_APP) def MbedTargets(): target = Target('mbed', MbedBuilder) targets =\",\n \"builders.k32w import K32WApp, K32WBuilder from builders.mbed import MbedApp, MbedBoard, MbedBuilder, MbedProfile from builders.nrf\",\n \"\\\"\\\"\\\"Creates a clone of the current object extending its build parameters. Arguments: suffix:\",\n \"yield ameba_target.Extend('amebad-pigweed', board=AmebaBoard.AMEBAD, app=AmebaApp.PIGWEED) def K32WTargets(): target = Target('k32w', K32WBuilder) yield target.Extend('light-ota-se', app=K32WApp.LIGHT,\",\n \"AcceptNameWithSubstrings: def __init__(self, substr: List[str]): self.substr = substr def Accept(self, name: str): for\",\n \"False class BuildVariant: def __init__(self, name: str, validator=AcceptAnyName(), conflicts: List[str] = [], requires:\",\n \"default on arm cross compiles # because libreadline is not part of the\",\n \"app=MbedApp.LIGHT)) app_targets.append(target.Extend( 'all-clusters', app=MbedApp.ALL_CLUSTERS)) app_targets.append(target.Extend('pigweed', app=MbedApp.PIGWEED)) app_targets.append(target.Extend('shell', app=MbedApp.SHELL)) for target in app_targets: yield\",\n \"to proto compiler. ' 'https://pigweed-review.googlesource.com/c/pigweed/pigweed/+/66760') yield rpc def AndroidTargets(): target = Target('android', AndroidBuilder)\",\n \"class AcceptNameWithSubstrings: def __init__(self, substr: List[str]): self.substr = substr def Accept(self, name: str):\",\n \"yield target.Extend('arm64-chip-tv-casting-app', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TV_CASTING_APP) yield target.Extend('arm-chip-tv-casting-app', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TV_CASTING_APP) def MbedTargets(): target = Target('mbed',\",\n \"validator=AcceptAnyName(), conflicts: List[str] = [], requires: List[str] = [], **buildargs): self.name = name\",\n \"globs name = '-'.join([o.name for o in subgroup]) if name not in self.glob_whitelist:\",\n \"AllRequirementsMet(subgroup): continue # Target ready to be created - no conflicts variant_target =\",\n \"app=InfineonApp.LOCK) yield target.Extend('p6-all-clusters', board=InfineonBoard.P6BOARD, app=InfineonApp.ALL_CLUSTERS) yield target.Extend('p6-light', board=InfineonBoard.P6BOARD, app=InfineonApp.LIGHT) def AmebaTargets(): ameba_target =\",\n \"is not part of the default sysroot yield target.GlobBlacklist('Arm crosscompile does not support\",\n \"builder = self.builder_class( repository_path, runner=runner, **self.create_kw_args) builder.target = self builder.identifier = self.name builder.output_dir\",\n \"in subgroup: variant_target = variant_target.Extend( option.name, **option.buildargs) # Only a few are whitelisted\",\n \"in combinations(ok_variants, variant_count): if HasConflicts(subgroup): continue if not AllRequirementsMet(subgroup): continue # Target ready\",\n \"yield target.GlobBlacklist('Arm crosscompile does not support libreadline-dev') else: yield target # Without extra\",\n \"name self.validator = validator self.conflicts = conflicts self.buildargs = buildargs self.requires = requires\",\n \"= Target('nrf', NrfConnectBuilder) yield target.Extend('native-posix-64-tests', board=NrfBoard.NATIVE_POSIX_64, app=NrfApp.UNIT_TESTS) targets = [ target.Extend('nrf5340dk', board=NrfBoard.NRF5340DK), target.Extend('nrf52840dk',\",\n \"app=Cyw30739App.OTA_REQUESTOR, progress_logging=False) def QorvoTargets(): target = Target('qpg', QpgBuilder) yield target.Extend('lock', board=QpgBoard.QPG6105, app=QpgApp.LOCK) yield\",\n \"cc13x2x7_26x2x7Targets(), Cyw30739Targets(), QorvoTargets(), TizenTargets(), Bl602Targets(), IMXTargets(), ] for generator in target_generators: for target\",\n \"bool: for a, b in combinations(items, 2): if (a.name in b.conflicts) or (b.name\",\n \"note the clone in case the default arg is used self.targets = targets[:]\",\n \"cross_compile and 'chip-tool' in target.name and 'arm64' in target.name and '-no-interactive' not in\",\n \"compile cross_compile = (HostBoard.NATIVE.PlatformName() == 'linux') and (HostBoard.NATIVE.BoardName() != HostBoard.ARM64.BoardName()) if cross_compile: targets.append(target.Extend('arm64',\",\n \"Target('cyw30739-cyw930739m2evb_01-light', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LIGHT) yield Target('cyw30739-cyw930739m2evb_01-lock', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LOCK) yield Target('cyw30739-cyw930739m2evb_01-ota-requestor', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01,\",\n \"for board_target in board_targets: builder.targets.append(board_target.Extend( 'window-covering', app=Efr32App.WINDOW_COVERING)) builder.targets.append(board_target.Extend( 'switch', app=Efr32App.SWITCH)) builder.targets.append(board_target.Extend( 'unit-test', app=Efr32App.UNIT_TEST))\",\n \"target else: builder.targets.append(target) for target in builder.AllVariants(): if cross_compile and 'chip-tool' in target.name\",\n \"return True class AcceptNameWithSubstrings: def __init__(self, substr: List[str]): self.substr = substr def Accept(self,\",\n \"to build it (what builder class to use and what arguments are required\",\n \"release=True, disable_ble=True, se05x=True).GlobBlacklist(\\\"Only on demand build\\\") yield target.Extend('light-release-no-ota', app=K32WApp.LIGHT, tokenizer=True, disable_ota=True, release=True) yield\",\n \"builder = VariantBuilder() for board_target in board_targets: builder.targets.append(board_target.Extend( 'window-covering', app=Efr32App.WINDOW_COVERING)) builder.targets.append(board_target.Extend( 'switch', app=Efr32App.SWITCH))\",\n \"= Target('android', AndroidBuilder) yield target.Extend('arm-chip-tool', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tool', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x64-chip-tool',\",\n \"target = Target('qpg', QpgBuilder) yield target.Extend('lock', board=QpgBoard.QPG6105, app=QpgApp.LOCK) yield target.Extend('light', board=QpgBoard.QPG6105, app=QpgApp.LIGHT) yield\",\n \"= builder_class self.glob_blacklist_reason = None self.create_kw_args = kwargs def Clone(self): \\\"\\\"\\\"Creates a clone\",\n \"devkitc.Extend('temperature-measurement', app=Esp32App.TEMPERATURE_MEASUREMENT) yield devkitc.Extend('temperature-measurement-rpc', app=Esp32App.TEMPERATURE_MEASUREMENT, enable_rpcs=True) yield esp32_target.Extend('qemu-tests', board=Esp32Board.QEMU, app=Esp32App.TESTS) def Efr32Targets(): efr_target\",\n \"\\\"\\\"\\\" Check that item.requires is satisfied for all items in the given list\",\n \"board=AndroidBoard.X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x86-chip-tool', board=AndroidBoard.X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-test', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TEST) yield target.Extend('androidstudio-arm-chip-tool', board=AndroidBoard.AndroidStudio_ARM,\",\n \"for variant_count in range(1, len(ok_variants) + 1): for subgroup in combinations(ok_variants, variant_count): if\",\n \"+ '-tests', board=board, app=HostApp.TESTS) def Esp32Targets(): esp32_target = Target('esp32', Esp32Builder) yield esp32_target.Extend('m5stack-all-clusters', board=Esp32Board.M5Stack,\",\n \"yield target # skip variants that do not work for this target ok_variants\",\n \"devkitc.Extend('bridge', app=Esp32App.BRIDGE) yield devkitc.Extend('temperature-measurement', app=Esp32App.TEMPERATURE_MEASUREMENT) yield devkitc.Extend('temperature-measurement-rpc', app=Esp32App.TEMPERATURE_MEASUREMENT, enable_rpcs=True) yield esp32_target.Extend('qemu-tests', board=Esp32Board.QEMU, app=Esp32App.TESTS)\",\n \"+= \\\", \\\" clone.glob_blacklist_reason += reason else: clone.glob_blacklist_reason = reason return clone @property\",\n \"distributed under the License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT\",\n \"Target(HostBoard.NATIVE.PlatformName(), HostBuilder) target_native = target.Extend(HostBoard.NATIVE.BoardName(), board=HostBoard.NATIVE) targets = [target_native] # x64 linux supports\",\n \"return self.glob_blacklist_reason is not None @property def GlobBlacklistReason(self): return self.glob_blacklist_reason class AcceptAnyName: def\",\n \"app=Efr32App.UNIT_TEST)) builder.targets.append( board_target.Extend('light', app=Efr32App.LIGHT)) builder.targets.append(board_target.Extend('lock', app=Efr32App.LOCK)) # Possible build variants. Note that number\",\n \"on a starting target. \\\"\\\"\\\" def __init__(self, targets: List[Target] = []): # note\",\n \"board=NrfBoard.NRF52840DONGLE, app=NrfApp.ALL_CLUSTERS) yield target.Extend('nrf52840dongle-light', board=NrfBoard.NRF52840DONGLE, app=NrfApp.LIGHT) for target in targets: yield target.Extend('all-clusters', app=NrfApp.ALL_CLUSTERS)\",\n \"variant_count): if HasConflicts(subgroup): continue if not AllRequirementsMet(subgroup): continue # Target ready to be\",\n \"variants\\\") test_target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) for board in [HostBoard.NATIVE, HostBoard.FAKE]: yield test_target.Extend(board.BoardName() +\",\n \"exponential here builder.AppendVariant(name=\\\"rpc\\\", validator=AcceptNameWithSubstrings( ['-light', '-lock']), enable_rpcs=True) builder.AppendVariant(name=\\\"with-ota-requestor\\\", enable_ota_requestor=True) builder.WhitelistVariantNameForGlob('rpc') for target in\",\n \"target.Extend('androidstudio-x64-chip-tool', board=AndroidBoard.AndroidStudio_X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tvserver', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm-chip-tvserver', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TVServer) yield target.Extend('x86-chip-tvserver',\",\n \"release=True).GlobBlacklist(\\\"Only on demand build\\\") def cc13x2x7_26x2x7Targets(): target = Target('cc13x2x7_26x2x7', cc13x2x7_26x2x7Builder) yield target.Extend('lock-ftd', app=cc13x2x7_26x2x7App.LOCK,\",\n \"targets. \\\"\\\"\\\" for target in self.targets: yield target # skip variants that do\",\n \"self.targets: yield target # skip variants that do not work for this target\",\n \"enable_ipv4=False) yield esp32_target.Extend('m5stack-all-clusters-rpc', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True) yield esp32_target.Extend('m5stack-all-clusters-rpc-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True, enable_ipv4=False) yield\",\n \"target.Extend('all-clusters-app', app=IMXApp.ALL_CLUSTERS) yield target.Extend('ota-provider-app', app=IMXApp.OTA_PROVIDER) yield target.Extend('chip-tool-release', app=IMXApp.CHIP_TOOL, release=True) yield target.Extend('lighting-app-release', app=IMXApp.LIGHT, release=True)\",\n \"based on a starting target. \\\"\\\"\\\" def __init__(self, targets: List[Target] = []): #\",\n \"of acceptable variants for the given targets. Handles conflict resolution between build variants\",\n \"target.Extend('light-release-no-ota', app=K32WApp.LIGHT, tokenizer=True, disable_ota=True, release=True) yield target.Extend('shell-release', app=K32WApp.SHELL, release=True) yield target.Extend('lock-release', app=K32WApp.LOCK, release=True)\",\n \"builder.AppendVariant(name=\\\"with-ota-requestor\\\", enable_ota_requestor=True) builder.WhitelistVariantNameForGlob('rpc') for target in builder.AllVariants(): yield target def NrfTargets(): target =\",\n \"return True class VariantBuilder: \\\"\\\"\\\"Handles creating multiple build variants based on a starting\",\n \"are whitelisted for globs name = '-'.join([o.name for o in subgroup]) if name\",\n \"yield target.Extend('lock-mtd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=False) yield target.Extend('pump', app=cc13x2x7_26x2x7App.PUMP) yield target.Extend('pump-controller', app=cc13x2x7_26x2x7App.PUMP_CONTROLLER) yield target.Extend('all-clusters', app=cc13x2x7_26x2x7App.ALL_CLUSTERS)\",\n \"app_targets.append(target.Extend( 'ota-requestor', app=HostApp.OTA_REQUESTOR, enable_ble=False)) app_targets.append(target.Extend('python-bindings', app=HostApp.PYTHON_BINDINGS)) builder = VariantBuilder() # Possible build variants.\",\n \"yield target.Extend('p6-lock', board=InfineonBoard.P6BOARD, app=InfineonApp.LOCK) yield target.Extend('p6-all-clusters', board=InfineonBoard.P6BOARD, app=InfineonApp.ALL_CLUSTERS) yield target.Extend('p6-light', board=InfineonBoard.P6BOARD, app=InfineonApp.LIGHT) def\",\n \"item in items: for requirement in item.requires: if requirement not in available: return\",\n \"this file except in compliance with the License. # You may obtain a\",\n \"def __init__(self, substr: List[str]): self.substr = substr def Accept(self, name: str): for s\",\n \"yield target.Extend('light-ota-se', app=K32WApp.LIGHT, release=True, disable_ble=True, se05x=True).GlobBlacklist(\\\"Only on demand build\\\") yield target.Extend('light-release-no-ota', app=K32WApp.LIGHT, tokenizer=True,\",\n \"import TizenApp, TizenBoard, TizenBuilder from builders.bl602 import Bl602App, Bl602Board, Bl602Builder from builders.imx import\",\n \"[ target.Extend('nrf5340dk', board=NrfBoard.NRF5340DK), target.Extend('nrf52840dk', board=NrfBoard.NRF52840DK), ] # Enable nrf52840dongle for all-clusters and lighting\",\n \"**option.buildargs) # Only a few are whitelisted for globs name = '-'.join([o.name for\",\n \"\\\"\\\"\\\"Creates a clone of self.\\\"\\\"\\\" clone = Target(self.name, self.builder_class, **self.create_kw_args.copy()) clone.glob_blacklist_reason = self.glob_blacklist_reason\",\n \"target.Extend('thermostat', app=IMXApp.THERMOSTAT) yield target.Extend('all-clusters-app', app=IMXApp.ALL_CLUSTERS) yield target.Extend('ota-provider-app', app=IMXApp.OTA_PROVIDER) yield target.Extend('chip-tool-release', app=IMXApp.CHIP_TOOL, release=True) yield\",\n \"yield target.Extend('ota-provider-app', app=IMXApp.OTA_PROVIDER) yield target.Extend('chip-tool-release', app=IMXApp.CHIP_TOOL, release=True) yield target.Extend('lighting-app-release', app=IMXApp.LIGHT, release=True) yield target.Extend('thermostat-release',\",\n \"HostBuilder) target_native = target.Extend(HostBoard.NATIVE.BoardName(), board=HostBoard.NATIVE) targets = [target_native] # x64 linux supports cross\",\n \"ameba_target = Target('ameba', AmebaBuilder) yield ameba_target.Extend('amebad-all-clusters', board=AmebaBoard.AMEBAD, app=AmebaApp.ALL_CLUSTERS) yield ameba_target.Extend('amebad-light', board=AmebaBoard.AMEBAD, app=AmebaApp.LIGHT) yield\",\n \"enable_ipv4=False) \\\"\\\"\\\" self.variants.append(BuildVariant(**args)) def AllVariants(self): \\\"\\\"\\\" Yields a list of acceptable variants for\",\n \"use_tsan=True), builder.AppendVariant(name=\\\"asan\\\", conflicts=['tsan'], use_asan=True), builder.AppendVariant(name=\\\"libfuzzer\\\", requires=[ \\\"clang\\\"], use_libfuzzer=True), builder.AppendVariant(name=\\\"clang\\\", use_clang=True), builder.AppendVariant(name=\\\"test\\\", extra_tests=True), builder.WhitelistVariantNameForGlob('no-interactive-ipv6only')\",\n \"[], requires: List[str] = [], **buildargs): self.name = name self.validator = validator self.conflicts\",\n \"here builder.AppendVariant(name=\\\"rpc\\\", validator=AcceptNameWithSubstrings( ['-light', '-lock']), enable_rpcs=True) builder.AppendVariant(name=\\\"with-ota-requestor\\\", enable_ota_requestor=True) builder.WhitelistVariantNameForGlob('rpc') for target in builder.AllVariants():\",\n \"'-tests', board=board, app=HostApp.TESTS) def Esp32Targets(): esp32_target = Target('esp32', Esp32Builder) yield esp32_target.Extend('m5stack-all-clusters', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS)\",\n \"user requested'), efr_target.Extend('brd4186a', board=Efr32Board.BRD4186A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4187a', board=Efr32Board.BRD4187A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4304a',\",\n \"= requires def HasConflicts(items: List[BuildVariant]) -> bool: for a, b in combinations(items, 2):\",\n \"enable_ble=False)) app_targets.append(target.Extend('python-bindings', app=HostApp.PYTHON_BINDINGS)) builder = VariantBuilder() # Possible build variants. Note that number\",\n \"def AmebaTargets(): ameba_target = Target('ameba', AmebaBuilder) yield ameba_target.Extend('amebad-all-clusters', board=AmebaBoard.AMEBAD, app=AmebaApp.ALL_CLUSTERS) yield ameba_target.Extend('amebad-light', board=AmebaBoard.AMEBAD,\",\n \"AmebaTargets(), K32WTargets(), cc13x2x7_26x2x7Targets(), Cyw30739Targets(), QorvoTargets(), TizenTargets(), Bl602Targets(), IMXTargets(), ] for generator in target_generators:\",\n \"self.glob_whitelist = [] def WhitelistVariantNameForGlob(self, name): \\\"\\\"\\\" Whitelist the specified variant to be\",\n \"exponential here builder.AppendVariant(name=\\\"same-event-loop\\\", validator=AcceptNameWithSubstrings( ['-chip-tool', '-chip-tool-darwin']), separate_event_loop=False), builder.AppendVariant(name=\\\"no-interactive\\\", validator=AcceptNameWithSubstrings( ['-chip-tool']), interactive_mode=False), builder.AppendVariant(name=\\\"ipv6only\\\", enable_ipv4=False),\",\n \"case the default arg is used self.targets = targets[:] self.variants = [] self.glob_whitelist\",\n \"target_native.Extend('chip-cert', app=HostApp.CERT_TOOL) yield target_native.Extend('address-resolve-tool', app=HostApp.ADDRESS_RESOLVE) yield target_native.Extend('address-resolve-tool-clang', app=HostApp.ADDRESS_RESOLVE, use_clang=True).GlobBlacklist(\\\"Reduce default build variants\\\") yield\",\n \"= conflicts self.buildargs = buildargs self.requires = requires def HasConflicts(items: List[BuildVariant]) -> bool:\",\n \"target.Extend('all-clusters', app=NrfApp.ALL_CLUSTERS) yield target.Extend('lock', app=NrfApp.LOCK) yield target.Extend('light', app=NrfApp.LIGHT) yield target.Extend('shell', app=NrfApp.SHELL) yield target.Extend('pump',\",\n \"[] self.glob_whitelist = [] def WhitelistVariantNameForGlob(self, name): \\\"\\\"\\\" Whitelist the specified variant to\",\n \"1): for subgroup in combinations(ok_variants, variant_count): if HasConflicts(subgroup): continue if not AllRequirementsMet(subgroup): continue\",\n \"to be created - no conflicts variant_target = target.Clone() for option in subgroup:\",\n \"potential # builds is exponential here builder.AppendVariant(name=\\\"same-event-loop\\\", validator=AcceptNameWithSubstrings( ['-chip-tool', '-chip-tool-darwin']), separate_event_loop=False), builder.AppendVariant(name=\\\"no-interactive\\\", validator=AcceptNameWithSubstrings(\",\n \"target.Extend('lighting-app-release', app=IMXApp.LIGHT, release=True) yield target.Extend('thermostat-release', app=IMXApp.THERMOSTAT, release=True) yield target.Extend('all-clusters-app-release', app=IMXApp.ALL_CLUSTERS, release=True) yield target.Extend('ota-provider-app-release',\",\n \"target_native.Extend('tv-app', app=HostApp.TV_APP)) app_targets.append( target_native.Extend('tv-casting-app', app=HostApp.TV_CASTING_APP)) app_targets.append( target_native.Extend('nl-test-runner', app=HostApp.NL_TEST_RUNNER)) for target in targets: app_targets.append(target.Extend(\",\n \"__init__(self, name: str, validator=AcceptAnyName(), conflicts: List[str] = [], requires: List[str] = [], **buildargs):\",\n \"are required to produce the specified build) \\\"\\\"\\\" def __init__(self, name, builder_class, **kwargs):\",\n \"target in self.targets: yield target # skip variants that do not work for\",\n \"runner, repository_path: str, output_prefix: str, enable_flashbundle: bool): builder = self.builder_class( repository_path, runner=runner, **self.create_kw_args)\",\n \"= VariantBuilder() # Possible build variants. Note that number of potential # builds\",\n \"self.substr: if s in name: return True return False class BuildVariant: def __init__(self,\",\n \"debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') def InfineonTargets(): target = Target('infineon', InfineonBuilder) yield target.Extend('p6-lock',\",\n \"app_targets.append(target.Extend('shell', app=HostApp.SHELL)) app_targets.append(target.Extend( 'ota-provider', app=HostApp.OTA_PROVIDER, enable_ble=False)) app_targets.append(target.Extend( 'ota-requestor', app=HostApp.OTA_REQUESTOR, enable_ble=False)) app_targets.append(target.Extend('python-bindings', app=HostApp.PYTHON_BINDINGS)) builder\",\n \"ALL.append(Target('telink-tlsr9518adk80d-light-switch', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.SWITCH)) # have a consistent order overall ALL.sort(key=lambda t: t.name)\",\n \"= Target('cc13x2x7_26x2x7', cc13x2x7_26x2x7Builder) yield target.Extend('lock-ftd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=True) yield target.Extend('lock-mtd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=False) yield target.Extend('pump',\",\n \"from builders.nrf import NrfApp, NrfBoard, NrfConnectBuilder from builders.qpg import QpgApp, QpgBoard, QpgBuilder from\",\n \"builders.nrf import NrfApp, NrfBoard, NrfConnectBuilder from builders.qpg import QpgApp, QpgBoard, QpgBuilder from builders.telink\",\n \"= [] for target in targets: app_targets.append(target.Extend('lock', app=MbedApp.LOCK)) app_targets.append(target.Extend('light', app=MbedApp.LIGHT)) app_targets.append(target.Extend( 'all-clusters', app=MbedApp.ALL_CLUSTERS))\",\n \"Interactive builds will not compile by default on arm cross compiles # because\",\n \"def Bl602Targets(): target = Target('bl602', Bl602Builder) yield target.Extend('light', board=Bl602Board.BL602BOARD, app=Bl602App.LIGHT) def IMXTargets(): target\",\n \"def AppendVariant(self, **args): \\\"\\\"\\\" Add another variant to accepted variants. Arguments are construction\",\n \"target.Extend('shell-release', app=K32WApp.SHELL, release=True) yield target.Extend('lock-release', app=K32WApp.LOCK, release=True) yield target.Extend('lock-low-power-release', app=K32WApp.LOCK, low_power=True, release=True).GlobBlacklist(\\\"Only on\",\n \"yield test_target.Extend(board.BoardName() + '-tests', board=board, app=HostApp.TESTS) def Esp32Targets(): esp32_target = Target('esp32', Esp32Builder) yield\",\n \"= Target('imx', IMXBuilder) yield target.Extend('chip-tool', app=IMXApp.CHIP_TOOL) yield target.Extend('lighting-app', app=IMXApp.LIGHT) yield target.Extend('thermostat', app=IMXApp.THERMOSTAT) yield\",\n \"use and what arguments are required to produce the specified build) \\\"\\\"\\\" def\",\n \"= substr def Accept(self, name: str): for s in self.substr: if s in\",\n \"a starting target. \\\"\\\"\\\" def __init__(self, targets: List[Target] = []): # note the\",\n \"# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to\",\n \"support libreadline-dev') else: yield target # Without extra build variants yield target_native.Extend('chip-cert', app=HostApp.CERT_TOOL)\",\n \"generator in target_generators: for target in generator: ALL.append(target) # Simple targets added one\",\n \"for item in items: for requirement in item.requires: if requirement not in available:\",\n \"target.Extend('lock-ftd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=True) yield target.Extend('lock-mtd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=False) yield target.Extend('pump', app=cc13x2x7_26x2x7App.PUMP) yield target.Extend('pump-controller', app=cc13x2x7_26x2x7App.PUMP_CONTROLLER)\",\n \"yield target.Extend('shell', app=cc13x2x7_26x2x7App.SHELL) def Cyw30739Targets(): yield Target('cyw30739-cyw930739m2evb_01-light', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LIGHT) yield Target('cyw30739-cyw930739m2evb_01-lock', Cyw30739Builder,\",\n \"yield target.Extend('chip-tool-release', app=IMXApp.CHIP_TOOL, release=True) yield target.Extend('lighting-app-release', app=IMXApp.LIGHT, release=True) yield target.Extend('thermostat-release', app=IMXApp.THERMOSTAT, release=True) yield\",\n \"import List from builders.ameba import AmebaApp, AmebaBoard, AmebaBuilder from builders.android import AndroidApp, AndroidBoard,\",\n \"in items]) for item in items: for requirement in item.requires: if requirement not\",\n \"] app_targets = [] for target in targets: app_targets.append(target.Extend('lock', app=MbedApp.LOCK)) app_targets.append(target.Extend('light', app=MbedApp.LIGHT)) app_targets.append(target.Extend(\",\n \"app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=True) yield target.Extend('lock-mtd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=False) yield target.Extend('pump', app=cc13x2x7_26x2x7App.PUMP) yield target.Extend('pump-controller', app=cc13x2x7_26x2x7App.PUMP_CONTROLLER) yield\",\n \"resolution between build variants and globbing whitelist targets. \\\"\\\"\\\" for target in self.targets:\",\n \"builder.AllVariants(): yield target def NrfTargets(): target = Target('nrf', NrfConnectBuilder) yield target.Extend('native-posix-64-tests', board=NrfBoard.NATIVE_POSIX_64, app=NrfApp.UNIT_TESTS)\",\n \"app=HostApp.TESTS) def Esp32Targets(): esp32_target = Target('esp32', Esp32Builder) yield esp32_target.Extend('m5stack-all-clusters', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS) yield esp32_target.Extend('m5stack-all-clusters-ipv6only',\",\n \"return self.glob_blacklist_reason class AcceptAnyName: def Accept(self, name: str): return True class AcceptNameWithSubstrings: def\",\n \"= [ efr_target.Extend('brd4161a', board=Efr32Board.BRD4161A), efr_target.Extend('brd4163a', board=Efr32Board.BRD4163A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4164a', board=Efr32Board.BRD4164A).GlobBlacklist( 'only user\",\n \"available = set([item.name for item in items]) for item in items: for requirement\",\n \"def GlobBlacklistReason(self): return self.glob_blacklist_reason class AcceptAnyName: def Accept(self, name: str): return True class\",\n \"app=HostApp.OTA_PROVIDER, enable_ble=False)) app_targets.append(target.Extend( 'ota-requestor', app=HostApp.OTA_REQUESTOR, enable_ble=False)) app_targets.append(target.Extend('python-bindings', app=HostApp.PYTHON_BINDINGS)) builder = VariantBuilder() # Possible\",\n \"required by applicable law or agreed to in writing, software # distributed under\",\n \"release=True) yield target.Extend('shell-release', app=K32WApp.SHELL, release=True) yield target.Extend('lock-release', app=K32WApp.LOCK, release=True) yield target.Extend('lock-low-power-release', app=K32WApp.LOCK, low_power=True,\",\n \"List[BuildVariant]) -> bool: for a, b in combinations(items, 2): if (a.name in b.conflicts)\",\n \"demand build\\\") def cc13x2x7_26x2x7Targets(): target = Target('cc13x2x7_26x2x7', cc13x2x7_26x2x7Builder) yield target.Extend('lock-ftd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=True) yield\",\n \"variants that do not work for this target ok_variants = [ v for\",\n \"Don't cross compile some builds app_targets.append( target_native.Extend('rpc-console', app=HostApp.RPC_CONSOLE)) app_targets.append( target_native.Extend('tv-app', app=HostApp.TV_APP)) app_targets.append( target_native.Extend('tv-casting-app',\",\n \"devkitc = esp32_target.Extend('devkitc', board=Esp32Board.DevKitC) yield devkitc.Extend('all-clusters', app=Esp32App.ALL_CLUSTERS) yield devkitc.Extend('all-clusters-ipv6only', app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield devkitc.Extend('shell',\",\n \"def NrfTargets(): target = Target('nrf', NrfConnectBuilder) yield target.Extend('native-posix-64-tests', board=NrfBoard.NATIVE_POSIX_64, app=NrfApp.UNIT_TESTS) targets = [\",\n \"self.variants if v.validator.Accept(target.name)] # Build every possible variant for variant_count in range(1, len(ok_variants)\",\n \"in target.name: # Interactive builds will not compile by default on arm cross\",\n \"target in builder.AllVariants(): yield target def NrfTargets(): target = Target('nrf', NrfConnectBuilder) yield target.Extend('native-posix-64-tests',\",\n \"app=InfineonApp.ALL_CLUSTERS) yield target.Extend('p6-light', board=InfineonBoard.P6BOARD, app=InfineonApp.LIGHT) def AmebaTargets(): ameba_target = Target('ameba', AmebaBuilder) yield ameba_target.Extend('amebad-all-clusters',\",\n \"in builder.AllVariants(): if cross_compile and 'chip-tool' in target.name and 'arm64' in target.name and\",\n \"cc13x2x7_26x2x7App, cc13x2x7_26x2x7Builder from builders.cyw30739 import Cyw30739App, Cyw30739Board, Cyw30739Builder from builders.efr32 import Efr32App, Efr32Board,\",\n \"a build target: Has a name identifier plus parameters on how to build\",\n \"board=Efr32Board.BRD4187A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4304a', board=Efr32Board.BRD4304A).GlobBlacklist( 'only user requested') ] builder = VariantBuilder()\",\n \"builders.efr32 import Efr32App, Efr32Board, Efr32Builder from builders.esp32 import Esp32App, Esp32Board, Esp32Builder from builders.host\",\n \"__init__(self, targets: List[Target] = []): # note the clone in case the default\",\n \"and '-no-interactive' not in target.name: # Interactive builds will not compile by default\",\n \"HostBoard.FAKE]: yield test_target.Extend(board.BoardName() + '-tests', board=board, app=HostApp.TESTS) def Esp32Targets(): esp32_target = Target('esp32', Esp32Builder)\",\n \"target.Extend('light-ota-se', app=K32WApp.LIGHT, release=True, disable_ble=True, se05x=True).GlobBlacklist(\\\"Only on demand build\\\") yield target.Extend('light-release-no-ota', app=K32WApp.LIGHT, tokenizer=True, disable_ota=True,\",\n \"is satisfied for all items in the given list \\\"\\\"\\\" available = set([item.name\",\n \"You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #\",\n \"the specified build) \\\"\\\"\\\" def __init__(self, name, builder_class, **kwargs): self.name = name self.builder_class\",\n \"List[str] = [], requires: List[str] = [], **buildargs): self.name = name self.validator =\",\n \"builder = VariantBuilder() builder.AppendVariant(name=\\\"no-ble\\\", enable_ble=False) builder.AppendVariant(name=\\\"no-wifi\\\", enable_wifi=False) builder.AppendVariant(name=\\\"asan\\\", use_asan=True) target = Target('tizen-arm', TizenBuilder,\",\n \"target.Extend('develop', profile=MbedProfile.DEVELOP).GlobBlacklist( 'Compile only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') yield target.Extend('debug', profile=MbedProfile.DEBUG).GlobBlacklist(\",\n \"app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=False) yield target.Extend('pump', app=cc13x2x7_26x2x7App.PUMP) yield target.Extend('pump-controller', app=cc13x2x7_26x2x7App.PUMP_CONTROLLER) yield target.Extend('all-clusters', app=cc13x2x7_26x2x7App.ALL_CLUSTERS) yield target.Extend('shell',\",\n \"= (HostBoard.NATIVE.PlatformName() == 'linux') and (HostBoard.NATIVE.BoardName() != HostBoard.ARM64.BoardName()) if cross_compile: targets.append(target.Extend('arm64', board=HostBoard.ARM64)) app_targets\",\n \"Cyw30739Targets(), QorvoTargets(), TizenTargets(), Bl602Targets(), IMXTargets(), ] for generator in target_generators: for target in\",\n \"[ target.Extend('CY8CPROTO_062_4343W', board=MbedBoard.CY8CPROTO_062_4343W), ] app_targets = [] for target in targets: app_targets.append(target.Extend('lock', app=MbedApp.LOCK))\",\n \"[] def WhitelistVariantNameForGlob(self, name): \\\"\\\"\\\" Whitelist the specified variant to be allowed for\",\n \"name = '-'.join([o.name for o in subgroup]) if name not in self.glob_whitelist: if\",\n \"Efr32Targets(), NrfTargets(), AndroidTargets(), MbedTargets(), InfineonTargets(), AmebaTargets(), K32WTargets(), cc13x2x7_26x2x7Targets(), Cyw30739Targets(), QorvoTargets(), TizenTargets(), Bl602Targets(), IMXTargets(),\",\n \"reason): clone = self.Clone() if clone.glob_blacklist_reason: clone.glob_blacklist_reason += \\\", \\\" clone.glob_blacklist_reason += reason\",\n \"builder.enable_flashbundle(enable_flashbundle) return builder def GlobBlacklist(self, reason): clone = self.Clone() if clone.glob_blacklist_reason: clone.glob_blacklist_reason +=\",\n \"arg is used self.targets = targets[:] self.variants = [] self.glob_whitelist = [] def\",\n \"in a.conflicts): return True return False def AllRequirementsMet(items: List[BuildVariant]) -> bool: \\\"\\\"\\\" Check\",\n \"v for v in self.variants if v.validator.Accept(target.name)] # Build every possible variant for\",\n \"extra_tests=True), builder.WhitelistVariantNameForGlob('no-interactive-ipv6only') builder.WhitelistVariantNameForGlob('ipv6only') for target in app_targets: if ('-rpc-console' in target.name) or ('-python-bindings'\",\n \"all items in the given list \\\"\\\"\\\" available = set([item.name for item in\",\n \"\\\"-\\\" + suffix clone.create_kw_args.update(kargs) return clone def Create(self, runner, repository_path: str, output_prefix: str,\",\n \"def Extend(self, suffix, **kargs): \\\"\\\"\\\"Creates a clone of the current object extending its\",\n \"app=Bl602App.LIGHT) def IMXTargets(): target = Target('imx', IMXBuilder) yield target.Extend('chip-tool', app=IMXApp.CHIP_TOOL) yield target.Extend('lighting-app', app=IMXApp.LIGHT)\",\n \"builds app_targets.append( target_native.Extend('rpc-console', app=HostApp.RPC_CONSOLE)) app_targets.append( target_native.Extend('tv-app', app=HostApp.TV_APP)) app_targets.append( target_native.Extend('tv-casting-app', app=HostApp.TV_CASTING_APP)) app_targets.append( target_native.Extend('nl-test-runner', app=HostApp.NL_TEST_RUNNER))\",\n \"= Target('efr32', Efr32Builder) board_targets = [ efr_target.Extend('brd4161a', board=Efr32Board.BRD4161A), efr_target.Extend('brd4163a', board=Efr32Board.BRD4163A).GlobBlacklist( 'only user requested'),\",\n \"app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-test', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TEST) yield target.Extend('androidstudio-arm-chip-tool', board=AndroidBoard.AndroidStudio_ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-arm64-chip-tool', board=AndroidBoard.AndroidStudio_ARM64, app=AndroidApp.CHIP_TOOL)\",\n \"Accept(self, name: str): for s in self.substr: if s in name: return True\",\n \"target.name) or ('-python-bindings' in target.name) or ('nl-test-runner' in target.name): # Single-variant builds yield\",\n \"in name: return True return False class BuildVariant: def __init__(self, name: str, validator=AcceptAnyName(),\",\n \"'Reduce default build variants') yield variant_target def HostTargets(): target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) target_native\",\n \"return True return False class BuildVariant: def __init__(self, name: str, validator=AcceptAnyName(), conflicts: List[str]\",\n \"in target.name): # Single-variant builds yield target else: builder.targets.append(target) for target in builder.AllVariants():\",\n \"Esp32Builder from builders.host import HostApp, HostBoard, HostBuilder from builders.infineon import InfineonApp, InfineonBoard, InfineonBuilder\",\n \"Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LOCK) yield Target('cyw30739-cyw930739m2evb_01-ota-requestor', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR).GlobBlacklist( \\\"Running out of XIP flash\",\n \"InfineonTargets(): target = Target('infineon', InfineonBuilder) yield target.Extend('p6-lock', board=InfineonBoard.P6BOARD, app=InfineonApp.LOCK) yield target.Extend('p6-all-clusters', board=InfineonBoard.P6BOARD, app=InfineonApp.ALL_CLUSTERS)\",\n \"usage: builder.AppendVariant(name=\\\"ipv6only\\\", enable_ipv4=False) \\\"\\\"\\\" self.variants.append(BuildVariant(**args)) def AllVariants(self): \\\"\\\"\\\" Yields a list of acceptable\",\n \"in b.conflicts) or (b.name in a.conflicts): return True return False def AllRequirementsMet(items: List[BuildVariant])\",\n \"# Interactive builds will not compile by default on arm cross compiles #\",\n \"enable_ble=False) builder.AppendVariant(name=\\\"no-wifi\\\", enable_wifi=False) builder.AppendVariant(name=\\\"asan\\\", use_asan=True) target = Target('tizen-arm', TizenBuilder, board=TizenBoard.ARM) builder.targets.append(target.Extend('light', app=TizenApp.LIGHT)) for\",\n \"Efr32Board, Efr32Builder from builders.esp32 import Esp32App, Esp32Board, Esp32Builder from builders.host import HostApp, HostBoard,\",\n \"\\\"\\\"\\\" clone = self.Clone() clone.name += \\\"-\\\" + suffix clone.create_kw_args.update(kargs) return clone def\",\n \"yield target.Extend('arm64-chip-test', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TEST) yield target.Extend('androidstudio-arm-chip-tool', board=AndroidBoard.AndroidStudio_ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-arm64-chip-tool', board=AndroidBoard.AndroidStudio_ARM64, app=AndroidApp.CHIP_TOOL) yield\",\n \"a, b in combinations(items, 2): if (a.name in b.conflicts) or (b.name in a.conflicts):\",\n \"[] # Don't cross compile some builds app_targets.append( target_native.Extend('rpc-console', app=HostApp.RPC_CONSOLE)) app_targets.append( target_native.Extend('tv-app', app=HostApp.TV_APP))\",\n \"app_targets = [] for target in targets: app_targets.append(target.Extend('lock', app=MbedApp.LOCK)) app_targets.append(target.Extend('light', app=MbedApp.LIGHT)) app_targets.append(target.Extend( 'all-clusters',\",\n \"app=IMXApp.OTA_PROVIDER, release=True) ALL = [] target_generators = [ HostTargets(), Esp32Targets(), Efr32Targets(), NrfTargets(), AndroidTargets(),\",\n \"potential builds is exponential here. builder = VariantBuilder() builder.AppendVariant(name=\\\"no-ble\\\", enable_ble=False) builder.AppendVariant(name=\\\"no-wifi\\\", enable_wifi=False) builder.AppendVariant(name=\\\"asan\\\",\",\n \"targets = [ target.Extend('nrf5340dk', board=NrfBoard.NRF5340DK), target.Extend('nrf52840dk', board=NrfBoard.NRF52840DK), ] # Enable nrf52840dongle for all-clusters\",\n \"ameba_target.Extend('amebad-light', board=AmebaBoard.AMEBAD, app=AmebaApp.LIGHT) yield ameba_target.Extend('amebad-pigweed', board=AmebaBoard.AMEBAD, app=AmebaApp.PIGWEED) def K32WTargets(): target = Target('k32w', K32WBuilder)\",\n \"# you may not use this file except in compliance with the License.\",\n \"= None self.create_kw_args = kwargs def Clone(self): \\\"\\\"\\\"Creates a clone of self.\\\"\\\"\\\" clone\",\n \"app=HostApp.PYTHON_BINDINGS)) builder = VariantBuilder() # Possible build variants. Note that number of potential\",\n \"yield target.Extend('pump', app=cc13x2x7_26x2x7App.PUMP) yield target.Extend('pump-controller', app=cc13x2x7_26x2x7App.PUMP_CONTROLLER) yield target.Extend('all-clusters', app=cc13x2x7_26x2x7App.ALL_CLUSTERS) yield target.Extend('shell', app=cc13x2x7_26x2x7App.SHELL) def\",\n \"Extend(self, suffix, **kargs): \\\"\\\"\\\"Creates a clone of the current object extending its build\",\n \"do not want a 'build all' to select all variants, so variants are\",\n \"not support libreadline-dev') else: yield target # Without extra build variants yield target_native.Extend('chip-cert',\",\n \"under the License. import os from itertools import combinations from typing import List\",\n \"given list \\\"\\\"\\\" available = set([item.name for item in items]) for item in\",\n \"board=HostBoard.NATIVE) targets = [target_native] # x64 linux supports cross compile cross_compile = (HostBoard.NATIVE.PlatformName()\",\n \"'chip-tool' in target.name and 'arm64' in target.name and '-no-interactive' not in target.name: #\",\n \"board=AndroidBoard.ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tool', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x64-chip-tool', board=AndroidBoard.X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x86-chip-tool', board=AndroidBoard.X86,\",\n \"the default arg is used self.targets = targets[:] self.variants = [] self.glob_whitelist =\",\n \"whitelisted for globs name = '-'.join([o.name for o in subgroup]) if name not\",\n \"enable_ipv4=False), builder.AppendVariant(name=\\\"no-ble\\\", enable_ble=False), builder.AppendVariant(name=\\\"no-wifi\\\", enable_wifi=False), builder.AppendVariant(name=\\\"tsan\\\", conflicts=['asan'], use_tsan=True), builder.AppendVariant(name=\\\"asan\\\", conflicts=['tsan'], use_asan=True), builder.AppendVariant(name=\\\"libfuzzer\\\", requires=[\",\n \"app=NrfApp.PUMP) yield target.Extend('pump-controller', app=NrfApp.PUMP_CONTROLLER) rpc = target.Extend('light-rpc', app=NrfApp.LIGHT, enable_rpcs=True) if '-nrf5340dk-' in rpc.name:\",\n \"board=NrfBoard.NRF52840DK), ] # Enable nrf52840dongle for all-clusters and lighting app only yield target.Extend('nrf52840dongle-all-clusters',\",\n \"(HostBoard.NATIVE.PlatformName() == 'linux') and (HostBoard.NATIVE.BoardName() != HostBoard.ARM64.BoardName()) if cross_compile: targets.append(target.Extend('arm64', board=HostBoard.ARM64)) app_targets =\",\n \"variants\\\") yield target_native.Extend('address-resolve-tool-platform-mdns', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True).GlobBlacklist(\\\"Reduce default build variants\\\") yield target_native.Extend('address-resolve-tool-platform-mdns-ipv6only', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True, enable_ipv4=False).GlobBlacklist(\\\"Reduce\",\n \"app=Cyw30739App.LOCK) yield Target('cyw30739-cyw930739m2evb_01-ota-requestor', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR).GlobBlacklist( \\\"Running out of XIP flash space\\\") yield\",\n \"app_targets.append(target.Extend( 'all-clusters', app=MbedApp.ALL_CLUSTERS)) app_targets.append(target.Extend('pigweed', app=MbedApp.PIGWEED)) app_targets.append(target.Extend('shell', app=MbedApp.SHELL)) for target in app_targets: yield target.Extend('release',\",\n \"# limitations under the License. import os from itertools import combinations from typing\",\n \"name identifier plus parameters on how to build it (what builder class to\",\n \"conflict resolution between build variants and globbing whitelist targets. \\\"\\\"\\\" for target in\",\n \"use_libfuzzer=True), builder.AppendVariant(name=\\\"clang\\\", use_clang=True), builder.AppendVariant(name=\\\"test\\\", extra_tests=True), builder.WhitelistVariantNameForGlob('no-interactive-ipv6only') builder.WhitelistVariantNameForGlob('ipv6only') for target in app_targets: if ('-rpc-console'\",\n \"yield target else: builder.targets.append(target) for target in builder.AllVariants(): if cross_compile and 'chip-tool' in\",\n \"License for the specific language governing permissions and # limitations under the License.\",\n \"clone def Extend(self, suffix, **kargs): \\\"\\\"\\\"Creates a clone of the current object extending\",\n \"s in name: return True return False class BuildVariant: def __init__(self, name: str,\",\n \"default build variants\\\") yield target_native.Extend('address-resolve-tool-platform-mdns-ipv6only', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True, enable_ipv4=False).GlobBlacklist(\\\"Reduce default build variants\\\") test_target =\",\n \"if requirement not in available: return False return True class VariantBuilder: \\\"\\\"\\\"Handles creating\",\n \"Target('infineon', InfineonBuilder) yield target.Extend('p6-lock', board=InfineonBoard.P6BOARD, app=InfineonApp.LOCK) yield target.Extend('p6-all-clusters', board=InfineonBoard.P6BOARD, app=InfineonApp.ALL_CLUSTERS) yield target.Extend('p6-light', board=InfineonBoard.P6BOARD,\",\n \"conflicts=['asan'], use_tsan=True), builder.AppendVariant(name=\\\"asan\\\", conflicts=['tsan'], use_asan=True), builder.AppendVariant(name=\\\"libfuzzer\\\", requires=[ \\\"clang\\\"], use_libfuzzer=True), builder.AppendVariant(name=\\\"clang\\\", use_clang=True), builder.AppendVariant(name=\\\"test\\\", extra_tests=True),\",\n \"yield target.Extend('release', profile=MbedProfile.RELEASE) yield target.Extend('develop', profile=MbedProfile.DEVELOP).GlobBlacklist( 'Compile only for debugging purpose - '\",\n \"user requested'), efr_target.Extend('brd4187a', board=Efr32Board.BRD4187A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4304a', board=Efr32Board.BRD4304A).GlobBlacklist( 'only user requested') ]\",\n \"cross compile cross_compile = (HostBoard.NATIVE.PlatformName() == 'linux') and (HostBoard.NATIVE.BoardName() != HostBoard.ARM64.BoardName()) if cross_compile:\",\n \"\\\"License\\\"); # you may not use this file except in compliance with the\",\n \"few are whitelisted for globs name = '-'.join([o.name for o in subgroup]) if\",\n \"obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless\",\n \"target.GlobBlacklist('Arm crosscompile does not support libreadline-dev') else: yield target # Without extra build\",\n \"builders.tizen import TizenApp, TizenBoard, TizenBuilder from builders.bl602 import Bl602App, Bl602Board, Bl602Builder from builders.imx\",\n \"None @property def GlobBlacklistReason(self): return self.glob_blacklist_reason class AcceptAnyName: def Accept(self, name: str): return\",\n \"skip variants that do not work for this target ok_variants = [ v\",\n \"separate_event_loop=False), builder.AppendVariant(name=\\\"no-interactive\\\", validator=AcceptNameWithSubstrings( ['-chip-tool']), interactive_mode=False), builder.AppendVariant(name=\\\"ipv6only\\\", enable_ipv4=False), builder.AppendVariant(name=\\\"no-ble\\\", enable_ble=False), builder.AppendVariant(name=\\\"no-wifi\\\", enable_wifi=False), builder.AppendVariant(name=\\\"tsan\\\", conflicts=['asan'],\",\n \"a clone of the current object extending its build parameters. Arguments: suffix: appended\",\n \"builders.ameba import AmebaApp, AmebaBoard, AmebaBuilder from builders.android import AndroidApp, AndroidBoard, AndroidBuilder from builders.cc13x2x7_26x2x7\",\n \"builder class to use and what arguments are required to produce the specified\",\n \"the specific language governing permissions and # limitations under the License. import os\",\n \"variants and globbing whitelist targets. \\\"\\\"\\\" for target in self.targets: yield target #\",\n \"variant to accepted variants. Arguments are construction variants to BuildVariant. Example usage: builder.AppendVariant(name=\\\"ipv6only\\\",\",\n \"in targets: yield target.Extend('all-clusters', app=NrfApp.ALL_CLUSTERS) yield target.Extend('lock', app=NrfApp.LOCK) yield target.Extend('light', app=NrfApp.LIGHT) yield target.Extend('shell',\",\n \"crosscompile does not support libreadline-dev') else: yield target # Without extra build variants\",\n \"yield Target('cyw30739-cyw930739m2evb_01-light', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LIGHT) yield Target('cyw30739-cyw930739m2evb_01-lock', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LOCK) yield Target('cyw30739-cyw930739m2evb_01-ota-requestor', Cyw30739Builder,\",\n \"http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,\",\n \"in writing, software # distributed under the License is distributed on an \\\"AS\",\n \"True class VariantBuilder: \\\"\\\"\\\"Handles creating multiple build variants based on a starting target.\",\n \"InfineonBuilder from builders.k32w import K32WApp, K32WBuilder from builders.mbed import MbedApp, MbedBoard, MbedBuilder, MbedProfile\",\n \"**self.create_kw_args) builder.target = self builder.identifier = self.name builder.output_dir = os.path.join(output_prefix, self.name) builder.enable_flashbundle(enable_flashbundle) return\",\n \"HasConflicts(subgroup): continue if not AllRequirementsMet(subgroup): continue # Target ready to be created -\",\n \"'chip-tool-darwin', app=HostApp.CHIP_TOOL_DARWIN)) app_targets.append(target.Extend('chip-tool', app=HostApp.CHIP_TOOL)) app_targets.append(target.Extend('thermostat', app=HostApp.THERMOSTAT)) app_targets.append(target.Extend('minmdns', app=HostApp.MIN_MDNS)) app_targets.append(target.Extend('light', app=HostApp.LIGHT)) app_targets.append(target.Extend('lock', app=HostApp.LOCK)) app_targets.append(target.Extend('shell',\",\n \"yield target.Extend('androidstudio-arm64-chip-tool', board=AndroidBoard.AndroidStudio_ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x86-chip-tool', board=AndroidBoard.AndroidStudio_X86, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x64-chip-tool', board=AndroidBoard.AndroidStudio_X64, app=AndroidApp.CHIP_TOOL) yield\",\n \"Cyw30739App, Cyw30739Board, Cyw30739Builder from builders.efr32 import Efr32App, Efr32Board, Efr32Builder from builders.esp32 import Esp32App,\",\n \"arguments needed to produce the new build variant \\\"\\\"\\\" clone = self.Clone() clone.name\",\n \"yield target.Extend('develop', profile=MbedProfile.DEVELOP).GlobBlacklist( 'Compile only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') yield target.Extend('debug',\",\n \"AmebaBoard, AmebaBuilder from builders.android import AndroidApp, AndroidBoard, AndroidBuilder from builders.cc13x2x7_26x2x7 import cc13x2x7_26x2x7App, cc13x2x7_26x2x7Builder\",\n \"efr_target.Extend('brd4304a', board=Efr32Board.BRD4304A).GlobBlacklist( 'only user requested') ] builder = VariantBuilder() for board_target in board_targets:\",\n \"False def AllRequirementsMet(items: List[BuildVariant]) -> bool: \\\"\\\"\\\" Check that item.requires is satisfied for\",\n \"target.Extend('release', profile=MbedProfile.RELEASE) yield target.Extend('develop', profile=MbedProfile.DEVELOP).GlobBlacklist( 'Compile only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html')\",\n \"yield esp32_target.Extend('m5stack-all-clusters-rpc', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True) yield esp32_target.Extend('m5stack-all-clusters-rpc-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True, enable_ipv4=False) yield esp32_target.Extend('c3devkit-all-clusters',\",\n \"Target('bl602', Bl602Builder) yield target.Extend('light', board=Bl602Board.BL602BOARD, app=Bl602App.LIGHT) def IMXTargets(): target = Target('imx', IMXBuilder) yield\",\n \"and 'arm64' in target.name and '-no-interactive' not in target.name: # Interactive builds will\",\n \"builder.AppendVariant(name=\\\"test\\\", extra_tests=True), builder.WhitelistVariantNameForGlob('no-interactive-ipv6only') builder.WhitelistVariantNameForGlob('ipv6only') for target in app_targets: if ('-rpc-console' in target.name) or\",\n \"use_clang=True), builder.AppendVariant(name=\\\"test\\\", extra_tests=True), builder.WhitelistVariantNameForGlob('no-interactive-ipv6only') builder.WhitelistVariantNameForGlob('ipv6only') for target in app_targets: if ('-rpc-console' in target.name)\",\n \"yield target.Extend('ota-provider-app-release', app=IMXApp.OTA_PROVIDER, release=True) ALL = [] target_generators = [ HostTargets(), Esp32Targets(), Efr32Targets(),\",\n \"MbedApp, MbedBoard, MbedBuilder, MbedProfile from builders.nrf import NrfApp, NrfBoard, NrfConnectBuilder from builders.qpg import\",\n \"builder.AppendVariant(name=\\\"rpc\\\", validator=AcceptNameWithSubstrings( ['-light', '-lock']), enable_rpcs=True) builder.AppendVariant(name=\\\"with-ota-requestor\\\", enable_ota_requestor=True) builder.WhitelistVariantNameForGlob('rpc') for target in builder.AllVariants(): yield\",\n \"def K32WTargets(): target = Target('k32w', K32WBuilder) yield target.Extend('light-ota-se', app=K32WApp.LIGHT, release=True, disable_ble=True, se05x=True).GlobBlacklist(\\\"Only on\",\n \"target in builder.AllVariants(): yield target def Bl602Targets(): target = Target('bl602', Bl602Builder) yield target.Extend('light',\",\n \"self.create_kw_args = kwargs def Clone(self): \\\"\\\"\\\"Creates a clone of self.\\\"\\\"\\\" clone = Target(self.name,\",\n \"yield target.Extend('all-clusters-app', app=IMXApp.ALL_CLUSTERS) yield target.Extend('ota-provider-app', app=IMXApp.OTA_PROVIDER) yield target.Extend('chip-tool-release', app=IMXApp.CHIP_TOOL, release=True) yield target.Extend('lighting-app-release', app=IMXApp.LIGHT,\",\n \"for target in builder.AllVariants(): yield target def NrfTargets(): target = Target('nrf', NrfConnectBuilder) yield\",\n \"app=NrfApp.UNIT_TESTS) targets = [ target.Extend('nrf5340dk', board=NrfBoard.NRF5340DK), target.Extend('nrf52840dk', board=NrfBoard.NRF52840DK), ] # Enable nrf52840dongle for\",\n \"builders.esp32 import Esp32App, Esp32Board, Esp32Builder from builders.host import HostApp, HostBoard, HostBuilder from builders.infineon\",\n \"in range(1, len(ok_variants) + 1): for subgroup in combinations(ok_variants, variant_count): if HasConflicts(subgroup): continue\",\n \"app=AndroidApp.CHIP_TVServer) yield target.Extend('arm64-chip-tv-casting-app', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TV_CASTING_APP) yield target.Extend('arm-chip-tv-casting-app', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TV_CASTING_APP) def MbedTargets(): target =\",\n \"the current object extending its build parameters. Arguments: suffix: appended with a \\\"-\\\"\",\n \"app=Esp32App.ALL_CLUSTERS) yield devkitc.Extend('all-clusters-ipv6only', app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield devkitc.Extend('shell', app=Esp32App.SHELL) yield devkitc.Extend('light', app=Esp32App.LIGHT) yield devkitc.Extend('lock',\",\n \"yield target def NrfTargets(): target = Target('nrf', NrfConnectBuilder) yield target.Extend('native-posix-64-tests', board=NrfBoard.NATIVE_POSIX_64, app=NrfApp.UNIT_TESTS) targets\",\n \"yield target.Extend('arm64-chip-tvserver', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm-chip-tvserver', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TVServer) yield target.Extend('x86-chip-tvserver', board=AndroidBoard.X86, app=AndroidApp.CHIP_TVServer) yield\",\n \"yield target.Extend('chip-tool', app=IMXApp.CHIP_TOOL) yield target.Extend('lighting-app', app=IMXApp.LIGHT) yield target.Extend('thermostat', app=IMXApp.THERMOSTAT) yield target.Extend('all-clusters-app', app=IMXApp.ALL_CLUSTERS) yield\",\n \"ALL.append(target) # Simple targets added one by one ALL.append(Target('telink-tlsr9518adk80d-light', TelinkBuilder, board=TelinkBoard.TLSR9518ADK80D, app=TelinkApp.LIGHT)) ALL.append(Target('telink-tlsr9518adk80d-light-switch',\",\n \"user requested'), efr_target.Extend('brd4164a', board=Efr32Board.BRD4164A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4166a', board=Efr32Board.BRD4166A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4170a',\",\n \"' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html') yield target.Extend('debug', profile=MbedProfile.DEBUG).GlobBlacklist( 'Compile only for debugging purpose - ' 'https://os.mbed.com/docs/mbed-os/latest/program-setup/build-profiles-and-rules.html')\",\n \"glob-blacklisted. \\\"\\\"\\\" self.glob_whitelist.append(name) def AppendVariant(self, **args): \\\"\\\"\\\" Add another variant to accepted variants.\",\n \"clone def Create(self, runner, repository_path: str, output_prefix: str, enable_flashbundle: bool): builder = self.builder_class(\",\n \"len(ok_variants) + 1): for subgroup in combinations(ok_variants, variant_count): if HasConflicts(subgroup): continue if not\",\n \"app=MbedApp.LOCK)) app_targets.append(target.Extend('light', app=MbedApp.LIGHT)) app_targets.append(target.Extend( 'all-clusters', app=MbedApp.ALL_CLUSTERS)) app_targets.append(target.Extend('pigweed', app=MbedApp.PIGWEED)) app_targets.append(target.Extend('shell', app=MbedApp.SHELL)) for target in\",\n \"list of acceptable variants for the given targets. Handles conflict resolution between build\",\n \"typing import List from builders.ameba import AmebaApp, AmebaBoard, AmebaBuilder from builders.android import AndroidApp,\",\n \"2.0 (the \\\"License\\\"); # you may not use this file except in compliance\",\n \"target.Extend('lock-mtd', app=cc13x2x7_26x2x7App.LOCK, openthread_ftd=False) yield target.Extend('pump', app=cc13x2x7_26x2x7App.PUMP) yield target.Extend('pump-controller', app=cc13x2x7_26x2x7App.PUMP_CONTROLLER) yield target.Extend('all-clusters', app=cc13x2x7_26x2x7App.ALL_CLUSTERS) yield\",\n \"user requested') ] builder = VariantBuilder() for board_target in board_targets: builder.targets.append(board_target.Extend( 'window-covering', app=Efr32App.WINDOW_COVERING))\",\n \"target.Extend('ota-provider-app', app=IMXApp.OTA_PROVIDER) yield target.Extend('chip-tool-release', app=IMXApp.CHIP_TOOL, release=True) yield target.Extend('lighting-app-release', app=IMXApp.LIGHT, release=True) yield target.Extend('thermostat-release', app=IMXApp.THERMOSTAT,\",\n \"WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the\",\n \"build variants\\\") test_target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) for board in [HostBoard.NATIVE, HostBoard.FAKE]: yield test_target.Extend(board.BoardName()\",\n \"clone.create_kw_args.update(kargs) return clone def Create(self, runner, repository_path: str, output_prefix: str, enable_flashbundle: bool): builder\",\n \"target.Extend('shell', board=QpgBoard.QPG6105, app=QpgApp.SHELL) yield target.Extend('persistent-storage', board=QpgBoard.QPG6105, app=QpgApp.PERSISTENT_STORAGE) def TizenTargets(): # Possible build variants.\",\n \"# # Unless required by applicable law or agreed to in writing, software\",\n \"MbedBuilder, MbedProfile from builders.nrf import NrfApp, NrfBoard, NrfConnectBuilder from builders.qpg import QpgApp, QpgBoard,\",\n \"app=QpgApp.LIGHT) yield target.Extend('shell', board=QpgBoard.QPG6105, app=QpgApp.SHELL) yield target.Extend('persistent-storage', board=QpgBoard.QPG6105, app=QpgApp.PERSISTENT_STORAGE) def TizenTargets(): # Possible\",\n \"repository_path, runner=runner, **self.create_kw_args) builder.target = self builder.identifier = self.name builder.output_dir = os.path.join(output_prefix, self.name)\",\n \"express or implied. # See the License for the specific language governing permissions\",\n \"import Bl602App, Bl602Board, Bl602Builder from builders.imx import IMXApp, IMXBuilder class Target: \\\"\\\"\\\"Represents a\",\n \"requested'), efr_target.Extend('brd4186a', board=Efr32Board.BRD4186A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4187a', board=Efr32Board.BRD4187A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4304a', board=Efr32Board.BRD4304A).GlobBlacklist(\",\n \"board=QpgBoard.QPG6105, app=QpgApp.LOCK) yield target.Extend('light', board=QpgBoard.QPG6105, app=QpgApp.LIGHT) yield target.Extend('shell', board=QpgBoard.QPG6105, app=QpgApp.SHELL) yield target.Extend('persistent-storage', board=QpgBoard.QPG6105,\",\n \"yield rpc def AndroidTargets(): target = Target('android', AndroidBuilder) yield target.Extend('arm-chip-tool', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TOOL) yield\",\n \"app_targets.append(target.Extend('minmdns', app=HostApp.MIN_MDNS)) app_targets.append(target.Extend('light', app=HostApp.LIGHT)) app_targets.append(target.Extend('lock', app=HostApp.LOCK)) app_targets.append(target.Extend('shell', app=HostApp.SHELL)) app_targets.append(target.Extend( 'ota-provider', app=HostApp.OTA_PROVIDER, enable_ble=False)) app_targets.append(target.Extend(\",\n \"(what builder class to use and what arguments are required to produce the\",\n \"either express or implied. # See the License for the specific language governing\",\n \"def Cyw30739Targets(): yield Target('cyw30739-cyw930739m2evb_01-light', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LIGHT) yield Target('cyw30739-cyw930739m2evb_01-lock', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LOCK) yield\",\n \"appended with a \\\"-\\\" as separator to the clone name **kargs: arguments needed\",\n \"if ('-rpc-console' in target.name) or ('-python-bindings' in target.name) or ('nl-test-runner' in target.name): #\",\n \"self.builder_class = builder_class self.glob_blacklist_reason = None self.create_kw_args = kwargs def Clone(self): \\\"\\\"\\\"Creates a\",\n \"class BuildVariant: def __init__(self, name: str, validator=AcceptAnyName(), conflicts: List[str] = [], requires: List[str]\",\n \"yield devkitc.Extend('light', app=Esp32App.LIGHT) yield devkitc.Extend('lock', app=Esp32App.LOCK) yield devkitc.Extend('bridge', app=Esp32App.BRIDGE) yield devkitc.Extend('temperature-measurement', app=Esp32App.TEMPERATURE_MEASUREMENT) yield\",\n \"builders.android import AndroidApp, AndroidBoard, AndroidBuilder from builders.cc13x2x7_26x2x7 import cc13x2x7_26x2x7App, cc13x2x7_26x2x7Builder from builders.cyw30739 import\",\n \"return False return True class VariantBuilder: \\\"\\\"\\\"Handles creating multiple build variants based on\",\n \"\\\"Running out of XIP flash space\\\") yield Target('cyw30739-cyw930739m2evb_01-ota-requestor-no-progress-logging', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR, progress_logging=False) def\",\n \"Target(HostBoard.NATIVE.PlatformName(), HostBuilder) for board in [HostBoard.NATIVE, HostBoard.FAKE]: yield test_target.Extend(board.BoardName() + '-tests', board=board, app=HostApp.TESTS)\",\n \"and (HostBoard.NATIVE.BoardName() != HostBoard.ARM64.BoardName()) if cross_compile: targets.append(target.Extend('arm64', board=HostBoard.ARM64)) app_targets = [] # Don't\",\n \"for target in self.targets: yield target # skip variants that do not work\",\n \"if v.validator.Accept(target.name)] # Build every possible variant for variant_count in range(1, len(ok_variants) +\",\n \"if not variant_target.IsGlobBlacklisted: variant_target = variant_target.GlobBlacklist( 'Reduce default build variants') yield variant_target def\",\n \"for target in generator: ALL.append(target) # Simple targets added one by one ALL.append(Target('telink-tlsr9518adk80d-light',\",\n \"board=AmebaBoard.AMEBAD, app=AmebaApp.LIGHT) yield ameba_target.Extend('amebad-pigweed', board=AmebaBoard.AMEBAD, app=AmebaApp.PIGWEED) def K32WTargets(): target = Target('k32w', K32WBuilder) yield\",\n \"the License. # You may obtain a copy of the License at #\",\n \"variant to be allowed for globbing. By default we do not want a\",\n \"app=AndroidApp.CHIP_TVServer) yield target.Extend('x86-chip-tvserver', board=AndroidBoard.X86, app=AndroidApp.CHIP_TVServer) yield target.Extend('x64-chip-tvserver', board=AndroidBoard.X64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm64-chip-tv-casting-app', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TV_CASTING_APP)\",\n \"build variants yield target_native.Extend('chip-cert', app=HostApp.CERT_TOOL) yield target_native.Extend('address-resolve-tool', app=HostApp.ADDRESS_RESOLVE) yield target_native.Extend('address-resolve-tool-clang', app=HostApp.ADDRESS_RESOLVE, use_clang=True).GlobBlacklist(\\\"Reduce default\",\n \"target.Extend('all-clusters', app=cc13x2x7_26x2x7App.ALL_CLUSTERS) yield target.Extend('shell', app=cc13x2x7_26x2x7App.SHELL) def Cyw30739Targets(): yield Target('cyw30739-cyw930739m2evb_01-light', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LIGHT) yield\",\n \"app_targets.append(target.Extend('shell', app=MbedApp.SHELL)) for target in app_targets: yield target.Extend('release', profile=MbedProfile.RELEASE) yield target.Extend('develop', profile=MbedProfile.DEVELOP).GlobBlacklist( 'Compile\",\n \"= Target('bl602', Bl602Builder) yield target.Extend('light', board=Bl602Board.BL602BOARD, app=Bl602App.LIGHT) def IMXTargets(): target = Target('imx', IMXBuilder)\",\n \"reason return clone @property def IsGlobBlacklisted(self): return self.glob_blacklist_reason is not None @property def\",\n \"lighting app only yield target.Extend('nrf52840dongle-all-clusters', board=NrfBoard.NRF52840DONGLE, app=NrfApp.ALL_CLUSTERS) yield target.Extend('nrf52840dongle-light', board=NrfBoard.NRF52840DONGLE, app=NrfApp.LIGHT) for target\",\n \"ameba_target.Extend('amebad-all-clusters', board=AmebaBoard.AMEBAD, app=AmebaApp.ALL_CLUSTERS) yield ameba_target.Extend('amebad-light', board=AmebaBoard.AMEBAD, app=AmebaApp.LIGHT) yield ameba_target.Extend('amebad-pigweed', board=AmebaBoard.AMEBAD, app=AmebaApp.PIGWEED) def K32WTargets():\",\n \"app only yield target.Extend('nrf52840dongle-all-clusters', board=NrfBoard.NRF52840DONGLE, app=NrfApp.ALL_CLUSTERS) yield target.Extend('nrf52840dongle-light', board=NrfBoard.NRF52840DONGLE, app=NrfApp.LIGHT) for target in\",\n \"substr def Accept(self, name: str): for s in self.substr: if s in name:\",\n \"IMXBuilder) yield target.Extend('chip-tool', app=IMXApp.CHIP_TOOL) yield target.Extend('lighting-app', app=IMXApp.LIGHT) yield target.Extend('thermostat', app=IMXApp.THERMOSTAT) yield target.Extend('all-clusters-app', app=IMXApp.ALL_CLUSTERS)\",\n \"# # Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); # you\",\n \"combinations from typing import List from builders.ameba import AmebaApp, AmebaBoard, AmebaBuilder from builders.android\",\n \"target.Extend('nrf52840dongle-all-clusters', board=NrfBoard.NRF52840DONGLE, app=NrfApp.ALL_CLUSTERS) yield target.Extend('nrf52840dongle-light', board=NrfBoard.NRF52840DONGLE, app=NrfApp.LIGHT) for target in targets: yield target.Extend('all-clusters',\",\n \"= [] # Don't cross compile some builds app_targets.append( target_native.Extend('rpc-console', app=HostApp.RPC_CONSOLE)) app_targets.append( target_native.Extend('tv-app',\",\n \"board=NrfBoard.NRF5340DK), target.Extend('nrf52840dk', board=NrfBoard.NRF52840DK), ] # Enable nrf52840dongle for all-clusters and lighting app only\",\n \"= [ target.Extend('nrf5340dk', board=NrfBoard.NRF5340DK), target.Extend('nrf52840dk', board=NrfBoard.NRF52840DK), ] # Enable nrf52840dongle for all-clusters and\",\n \"name: str): return True class AcceptNameWithSubstrings: def __init__(self, substr: List[str]): self.substr = substr\",\n \"app_targets.append( target_native.Extend('nl-test-runner', app=HostApp.NL_TEST_RUNNER)) for target in targets: app_targets.append(target.Extend( 'all-clusters', app=HostApp.ALL_CLUSTERS)) if (HostBoard.NATIVE.PlatformName() ==\",\n \"we do not want a 'build all' to select all variants, so variants\",\n \"used self.targets = targets[:] self.variants = [] self.glob_whitelist = [] def WhitelistVariantNameForGlob(self, name):\",\n \"yield target.Extend('arm-chip-tool', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tool', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x64-chip-tool', board=AndroidBoard.X64, app=AndroidApp.CHIP_TOOL) yield\",\n \"app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x64-chip-tool', board=AndroidBoard.AndroidStudio_X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tvserver', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm-chip-tvserver', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TVServer)\",\n \"# Possible build variants. # NOTE: The number of potential builds is exponential\",\n \"for requirement in item.requires: if requirement not in available: return False return True\",\n \"yield target.Extend('nrf52840dongle-light', board=NrfBoard.NRF52840DONGLE, app=NrfApp.LIGHT) for target in targets: yield target.Extend('all-clusters', app=NrfApp.ALL_CLUSTERS) yield target.Extend('lock',\",\n \"Bl602Builder from builders.imx import IMXApp, IMXBuilder class Target: \\\"\\\"\\\"Represents a build target: Has\",\n \"from builders.host import HostApp, HostBoard, HostBuilder from builders.infineon import InfineonApp, InfineonBoard, InfineonBuilder from\",\n \"items: for requirement in item.requires: if requirement not in available: return False return\",\n \"WhitelistVariantNameForGlob(self, name): \\\"\\\"\\\" Whitelist the specified variant to be allowed for globbing. By\",\n \"work for this target ok_variants = [ v for v in self.variants if\",\n \"targets: yield target.Extend('all-clusters', app=NrfApp.ALL_CLUSTERS) yield target.Extend('lock', app=NrfApp.LOCK) yield target.Extend('light', app=NrfApp.LIGHT) yield target.Extend('shell', app=NrfApp.SHELL)\",\n \"for target in targets: app_targets.append(target.Extend( 'all-clusters', app=HostApp.ALL_CLUSTERS)) if (HostBoard.NATIVE.PlatformName() == 'darwin'): app_targets.append(target.Extend( 'chip-tool-darwin',\",\n \"Copyright (c) 2021 Project CHIP Authors # # Licensed under the Apache License,\",\n \"'-'.join([o.name for o in subgroup]) if name not in self.glob_whitelist: if not variant_target.IsGlobBlacklisted:\",\n \"Create(self, runner, repository_path: str, output_prefix: str, enable_flashbundle: bool): builder = self.builder_class( repository_path, runner=runner,\",\n \"self.glob_whitelist.append(name) def AppendVariant(self, **args): \\\"\\\"\\\" Add another variant to accepted variants. Arguments are\",\n \"Esp32Builder) yield esp32_target.Extend('m5stack-all-clusters', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS) yield esp32_target.Extend('m5stack-all-clusters-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield esp32_target.Extend('m5stack-all-clusters-rpc', board=Esp32Board.M5Stack,\",\n \"XIP flash space\\\") yield Target('cyw30739-cyw930739m2evb_01-ota-requestor-no-progress-logging', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR, progress_logging=False) def QorvoTargets(): target =\",\n \"'switch', app=Efr32App.SWITCH)) builder.targets.append(board_target.Extend( 'unit-test', app=Efr32App.UNIT_TEST)) builder.targets.append( board_target.Extend('light', app=Efr32App.LIGHT)) builder.targets.append(board_target.Extend('lock', app=Efr32App.LOCK)) # Possible build\",\n \"not part of the default sysroot yield target.GlobBlacklist('Arm crosscompile does not support libreadline-dev')\",\n \"clone = self.Clone() if clone.glob_blacklist_reason: clone.glob_blacklist_reason += \\\", \\\" clone.glob_blacklist_reason += reason else:\",\n \"yield target.Extend('pump', app=NrfApp.PUMP) yield target.Extend('pump-controller', app=NrfApp.PUMP_CONTROLLER) rpc = target.Extend('light-rpc', app=NrfApp.LIGHT, enable_rpcs=True) if '-nrf5340dk-'\",\n \"builder.AppendVariant(name=\\\"libfuzzer\\\", requires=[ \\\"clang\\\"], use_libfuzzer=True), builder.AppendVariant(name=\\\"clang\\\", use_clang=True), builder.AppendVariant(name=\\\"test\\\", extra_tests=True), builder.WhitelistVariantNameForGlob('no-interactive-ipv6only') builder.WhitelistVariantNameForGlob('ipv6only') for target in\",\n \"def WhitelistVariantNameForGlob(self, name): \\\"\\\"\\\" Whitelist the specified variant to be allowed for globbing.\",\n \"app_targets.append(target.Extend( 'all-clusters', app=HostApp.ALL_CLUSTERS)) if (HostBoard.NATIVE.PlatformName() == 'darwin'): app_targets.append(target.Extend( 'chip-tool-darwin', app=HostApp.CHIP_TOOL_DARWIN)) app_targets.append(target.Extend('chip-tool', app=HostApp.CHIP_TOOL)) app_targets.append(target.Extend('thermostat',\",\n \"clone @property def IsGlobBlacklisted(self): return self.glob_blacklist_reason is not None @property def GlobBlacklistReason(self): return\",\n \"- no conflicts variant_target = target.Clone() for option in subgroup: variant_target = variant_target.Extend(\",\n \"def GlobBlacklist(self, reason): clone = self.Clone() if clone.glob_blacklist_reason: clone.glob_blacklist_reason += \\\", \\\" clone.glob_blacklist_reason\",\n \"app=IMXApp.THERMOSTAT) yield target.Extend('all-clusters-app', app=IMXApp.ALL_CLUSTERS) yield target.Extend('ota-provider-app', app=IMXApp.OTA_PROVIDER) yield target.Extend('chip-tool-release', app=IMXApp.CHIP_TOOL, release=True) yield target.Extend('lighting-app-release',\",\n \"yield Target('cyw30739-cyw930739m2evb_01-ota-requestor-no-progress-logging', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.OTA_REQUESTOR, progress_logging=False) def QorvoTargets(): target = Target('qpg', QpgBuilder) yield\",\n \"app=HostApp.SHELL)) app_targets.append(target.Extend( 'ota-provider', app=HostApp.OTA_PROVIDER, enable_ble=False)) app_targets.append(target.Extend( 'ota-requestor', app=HostApp.OTA_REQUESTOR, enable_ble=False)) app_targets.append(target.Extend('python-bindings', app=HostApp.PYTHON_BINDINGS)) builder =\",\n \"at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed\",\n \"\\\"clang\\\"], use_libfuzzer=True), builder.AppendVariant(name=\\\"clang\\\", use_clang=True), builder.AppendVariant(name=\\\"test\\\", extra_tests=True), builder.WhitelistVariantNameForGlob('no-interactive-ipv6only') builder.WhitelistVariantNameForGlob('ipv6only') for target in app_targets: if\",\n \"board=QpgBoard.QPG6105, app=QpgApp.PERSISTENT_STORAGE) def TizenTargets(): # Possible build variants. # NOTE: The number of\",\n \"builder.targets.append(board_target.Extend( 'switch', app=Efr32App.SWITCH)) builder.targets.append(board_target.Extend( 'unit-test', app=Efr32App.UNIT_TEST)) builder.targets.append( board_target.Extend('light', app=Efr32App.LIGHT)) builder.targets.append(board_target.Extend('lock', app=Efr32App.LOCK)) # Possible\",\n \"use_platform_mdns=True).GlobBlacklist(\\\"Reduce default build variants\\\") yield target_native.Extend('address-resolve-tool-platform-mdns-ipv6only', app=HostApp.ADDRESS_RESOLVE, use_platform_mdns=True, enable_ipv4=False).GlobBlacklist(\\\"Reduce default build variants\\\") test_target\",\n \"board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TV_CASTING_APP) yield target.Extend('arm-chip-tv-casting-app', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TV_CASTING_APP) def MbedTargets(): target = Target('mbed', MbedBuilder) targets\",\n \"+ suffix clone.create_kw_args.update(kargs) return clone def Create(self, runner, repository_path: str, output_prefix: str, enable_flashbundle:\",\n \"self.requires = requires def HasConflicts(items: List[BuildVariant]) -> bool: for a, b in combinations(items,\",\n \"esp32_target.Extend('m5stack-all-clusters-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield esp32_target.Extend('m5stack-all-clusters-rpc', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_rpcs=True) yield esp32_target.Extend('m5stack-all-clusters-rpc-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS,\",\n \"= [target_native] # x64 linux supports cross compile cross_compile = (HostBoard.NATIVE.PlatformName() == 'linux')\",\n \"import os from itertools import combinations from typing import List from builders.ameba import\",\n \"# Without extra build variants yield target_native.Extend('chip-cert', app=HostApp.CERT_TOOL) yield target_native.Extend('address-resolve-tool', app=HostApp.ADDRESS_RESOLVE) yield target_native.Extend('address-resolve-tool-clang',\",\n \"target in targets: yield target.Extend('all-clusters', app=NrfApp.ALL_CLUSTERS) yield target.Extend('lock', app=NrfApp.LOCK) yield target.Extend('light', app=NrfApp.LIGHT) yield\",\n \"low_power=True, release=True).GlobBlacklist(\\\"Only on demand build\\\") def cc13x2x7_26x2x7Targets(): target = Target('cc13x2x7_26x2x7', cc13x2x7_26x2x7Builder) yield target.Extend('lock-ftd',\",\n \"**args): \\\"\\\"\\\" Add another variant to accepted variants. Arguments are construction variants to\",\n \"= [], **buildargs): self.name = name self.validator = validator self.conflicts = conflicts self.buildargs\",\n \"# Don't cross compile some builds app_targets.append( target_native.Extend('rpc-console', app=HostApp.RPC_CONSOLE)) app_targets.append( target_native.Extend('tv-app', app=HostApp.TV_APP)) app_targets.append(\",\n \"the clone name **kargs: arguments needed to produce the new build variant \\\"\\\"\\\"\",\n \"AmebaTargets(): ameba_target = Target('ameba', AmebaBuilder) yield ameba_target.Extend('amebad-all-clusters', board=AmebaBoard.AMEBAD, app=AmebaApp.ALL_CLUSTERS) yield ameba_target.Extend('amebad-light', board=AmebaBoard.AMEBAD, app=AmebaApp.LIGHT)\",\n \"variants. Note that number of potential # builds is exponential here builder.AppendVariant(name=\\\"rpc\\\", validator=AcceptNameWithSubstrings(\",\n \"variants, so variants are generally glob-blacklisted. \\\"\\\"\\\" self.glob_whitelist.append(name) def AppendVariant(self, **args): \\\"\\\"\\\" Add\",\n \"release=True) yield target.Extend('thermostat-release', app=IMXApp.THERMOSTAT, release=True) yield target.Extend('all-clusters-app-release', app=IMXApp.ALL_CLUSTERS, release=True) yield target.Extend('ota-provider-app-release', app=IMXApp.OTA_PROVIDER, release=True)\",\n \"import AmebaApp, AmebaBoard, AmebaBuilder from builders.android import AndroidApp, AndroidBoard, AndroidBuilder from builders.cc13x2x7_26x2x7 import\",\n \"VariantBuilder() for board_target in board_targets: builder.targets.append(board_target.Extend( 'window-covering', app=Efr32App.WINDOW_COVERING)) builder.targets.append(board_target.Extend( 'switch', app=Efr32App.SWITCH)) builder.targets.append(board_target.Extend( 'unit-test',\",\n \"build variants') yield variant_target def HostTargets(): target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) target_native = target.Extend(HostBoard.NATIVE.BoardName(),\",\n \"def Esp32Targets(): esp32_target = Target('esp32', Esp32Builder) yield esp32_target.Extend('m5stack-all-clusters', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS) yield esp32_target.Extend('m5stack-all-clusters-ipv6only', board=Esp32Board.M5Stack,\",\n \"conflicts=['tsan'], use_asan=True), builder.AppendVariant(name=\\\"libfuzzer\\\", requires=[ \\\"clang\\\"], use_libfuzzer=True), builder.AppendVariant(name=\\\"clang\\\", use_clang=True), builder.AppendVariant(name=\\\"test\\\", extra_tests=True), builder.WhitelistVariantNameForGlob('no-interactive-ipv6only') builder.WhitelistVariantNameForGlob('ipv6only') for\",\n \"= [ HostTargets(), Esp32Targets(), Efr32Targets(), NrfTargets(), AndroidTargets(), MbedTargets(), InfineonTargets(), AmebaTargets(), K32WTargets(), cc13x2x7_26x2x7Targets(), Cyw30739Targets(),\",\n \"except in compliance with the License. # You may obtain a copy of\",\n \"variants are generally glob-blacklisted. \\\"\\\"\\\" self.glob_whitelist.append(name) def AppendVariant(self, **args): \\\"\\\"\\\" Add another variant\",\n \"not AllRequirementsMet(subgroup): continue # Target ready to be created - no conflicts variant_target\",\n \"target_generators: for target in generator: ALL.append(target) # Simple targets added one by one\",\n \"('-python-bindings' in target.name) or ('nl-test-runner' in target.name): # Single-variant builds yield target else:\",\n \"def Clone(self): \\\"\\\"\\\"Creates a clone of self.\\\"\\\"\\\" clone = Target(self.name, self.builder_class, **self.create_kw_args.copy()) clone.glob_blacklist_reason\",\n \"yield devkitc.Extend('all-clusters', app=Esp32App.ALL_CLUSTERS) yield devkitc.Extend('all-clusters-ipv6only', app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield devkitc.Extend('shell', app=Esp32App.SHELL) yield devkitc.Extend('light', app=Esp32App.LIGHT)\",\n \"target.Extend('arm-chip-tool', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tool', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x64-chip-tool', board=AndroidBoard.X64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x86-chip-tool',\",\n \"may not use this file except in compliance with the License. # You\",\n \"License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS\",\n \"variant_count in range(1, len(ok_variants) + 1): for subgroup in combinations(ok_variants, variant_count): if HasConflicts(subgroup):\",\n \"in [HostBoard.NATIVE, HostBoard.FAKE]: yield test_target.Extend(board.BoardName() + '-tests', board=board, app=HostApp.TESTS) def Esp32Targets(): esp32_target =\",\n \"\\\" clone.glob_blacklist_reason += reason else: clone.glob_blacklist_reason = reason return clone @property def IsGlobBlacklisted(self):\",\n \"K32WTargets(): target = Target('k32w', K32WBuilder) yield target.Extend('light-ota-se', app=K32WApp.LIGHT, release=True, disable_ble=True, se05x=True).GlobBlacklist(\\\"Only on demand\",\n \"\\\"\\\"\\\" Whitelist the specified variant to be allowed for globbing. By default we\",\n \"output_prefix: str, enable_flashbundle: bool): builder = self.builder_class( repository_path, runner=runner, **self.create_kw_args) builder.target = self\",\n \"app=NrfApp.PUMP_CONTROLLER) rpc = target.Extend('light-rpc', app=NrfApp.LIGHT, enable_rpcs=True) if '-nrf5340dk-' in rpc.name: rpc = rpc.GlobBlacklist(\",\n \"target_native.Extend('nl-test-runner', app=HostApp.NL_TEST_RUNNER)) for target in targets: app_targets.append(target.Extend( 'all-clusters', app=HostApp.ALL_CLUSTERS)) if (HostBoard.NATIVE.PlatformName() == 'darwin'):\",\n \"builder.AppendVariant(name=\\\"same-event-loop\\\", validator=AcceptNameWithSubstrings( ['-chip-tool', '-chip-tool-darwin']), separate_event_loop=False), builder.AppendVariant(name=\\\"no-interactive\\\", validator=AcceptNameWithSubstrings( ['-chip-tool']), interactive_mode=False), builder.AppendVariant(name=\\\"ipv6only\\\", enable_ipv4=False), builder.AppendVariant(name=\\\"no-ble\\\", enable_ble=False),\",\n \"(a.name in b.conflicts) or (b.name in a.conflicts): return True return False def AllRequirementsMet(items:\",\n \"= Target('esp32', Esp32Builder) yield esp32_target.Extend('m5stack-all-clusters', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS) yield esp32_target.Extend('m5stack-all-clusters-ipv6only', board=Esp32Board.M5Stack, app=Esp32App.ALL_CLUSTERS, enable_ipv4=False) yield\",\n \"not None @property def GlobBlacklistReason(self): return self.glob_blacklist_reason class AcceptAnyName: def Accept(self, name: str):\",\n \"pw_build args not forwarded to proto compiler. ' 'https://pigweed-review.googlesource.com/c/pigweed/pigweed/+/66760') yield rpc def AndroidTargets():\",\n \"Target('efr32', Efr32Builder) board_targets = [ efr_target.Extend('brd4161a', board=Efr32Board.BRD4161A), efr_target.Extend('brd4163a', board=Efr32Board.BRD4163A).GlobBlacklist( 'only user requested'), efr_target.Extend('brd4164a',\",\n \"clone.glob_blacklist_reason += \\\", \\\" clone.glob_blacklist_reason += reason else: clone.glob_blacklist_reason = reason return clone\",\n \"AndroidBuilder) yield target.Extend('arm-chip-tool', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tool', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('x64-chip-tool', board=AndroidBoard.X64, app=AndroidApp.CHIP_TOOL)\",\n \"language governing permissions and # limitations under the License. import os from itertools\",\n \"creating multiple build variants based on a starting target. \\\"\\\"\\\" def __init__(self, targets:\",\n \"test_target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) for board in [HostBoard.NATIVE, HostBoard.FAKE]: yield test_target.Extend(board.BoardName() + '-tests',\",\n \"target.Extend('arm64-chip-tvserver', board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TVServer) yield target.Extend('arm-chip-tvserver', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TVServer) yield target.Extend('x86-chip-tvserver', board=AndroidBoard.X86, app=AndroidApp.CHIP_TVServer) yield target.Extend('x64-chip-tvserver',\",\n \"def HostTargets(): target = Target(HostBoard.NATIVE.PlatformName(), HostBuilder) target_native = target.Extend(HostBoard.NATIVE.BoardName(), board=HostBoard.NATIVE) targets = [target_native]\",\n \"AllVariants(self): \\\"\\\"\\\" Yields a list of acceptable variants for the given targets. Handles\",\n \"target.Extend('light', board=Bl602Board.BL602BOARD, app=Bl602App.LIGHT) def IMXTargets(): target = Target('imx', IMXBuilder) yield target.Extend('chip-tool', app=IMXApp.CHIP_TOOL) yield\",\n \"for globbing. By default we do not want a 'build all' to select\",\n \"app=HostApp.LIGHT)) app_targets.append(target.Extend('lock', app=HostApp.LOCK)) app_targets.append(target.Extend('shell', app=HostApp.SHELL)) app_targets.append(target.Extend( 'ota-provider', app=HostApp.OTA_PROVIDER, enable_ble=False)) app_targets.append(target.Extend( 'ota-requestor', app=HostApp.OTA_REQUESTOR, enable_ble=False))\",\n \"def AllRequirementsMet(items: List[BuildVariant]) -> bool: \\\"\\\"\\\" Check that item.requires is satisfied for all\",\n \"build variant \\\"\\\"\\\" clone = self.Clone() clone.name += \\\"-\\\" + suffix clone.create_kw_args.update(kargs) return\",\n \"app=NrfApp.LIGHT, enable_rpcs=True) if '-nrf5340dk-' in rpc.name: rpc = rpc.GlobBlacklist( 'Compile failure due to\",\n \"rpc def AndroidTargets(): target = Target('android', AndroidBuilder) yield target.Extend('arm-chip-tool', board=AndroidBoard.ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('arm64-chip-tool',\",\n \"IsGlobBlacklisted(self): return self.glob_blacklist_reason is not None @property def GlobBlacklistReason(self): return self.glob_blacklist_reason class AcceptAnyName:\",\n \"variant for variant_count in range(1, len(ok_variants) + 1): for subgroup in combinations(ok_variants, variant_count):\",\n \"variant \\\"\\\"\\\" clone = self.Clone() clone.name += \\\"-\\\" + suffix clone.create_kw_args.update(kargs) return clone\",\n \"nrf52840dongle for all-clusters and lighting app only yield target.Extend('nrf52840dongle-all-clusters', board=NrfBoard.NRF52840DONGLE, app=NrfApp.ALL_CLUSTERS) yield target.Extend('nrf52840dongle-light',\",\n \"License. import os from itertools import combinations from typing import List from builders.ameba\",\n \"here builder.AppendVariant(name=\\\"same-event-loop\\\", validator=AcceptNameWithSubstrings( ['-chip-tool', '-chip-tool-darwin']), separate_event_loop=False), builder.AppendVariant(name=\\\"no-interactive\\\", validator=AcceptNameWithSubstrings( ['-chip-tool']), interactive_mode=False), builder.AppendVariant(name=\\\"ipv6only\\\", enable_ipv4=False), builder.AppendVariant(name=\\\"no-ble\\\",\",\n \"board=AndroidBoard.ARM64, app=AndroidApp.CHIP_TEST) yield target.Extend('androidstudio-arm-chip-tool', board=AndroidBoard.AndroidStudio_ARM, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-arm64-chip-tool', board=AndroidBoard.AndroidStudio_ARM64, app=AndroidApp.CHIP_TOOL) yield target.Extend('androidstudio-x86-chip-tool', board=AndroidBoard.AndroidStudio_X86,\",\n \"if HasConflicts(subgroup): continue if not AllRequirementsMet(subgroup): continue # Target ready to be created\",\n \"app=cc13x2x7_26x2x7App.ALL_CLUSTERS) yield target.Extend('shell', app=cc13x2x7_26x2x7App.SHELL) def Cyw30739Targets(): yield Target('cyw30739-cyw930739m2evb_01-light', Cyw30739Builder, board=Cyw30739Board.CYW930739M2EVB_01, app=Cyw30739App.LIGHT) yield Target('cyw30739-cyw930739m2evb_01-lock',\",\n \"target: Has a name identifier plus parameters on how to build it (what\"\n]","isConversational":false}}},{"rowIdx":1298,"cells":{"ngram":{"kind":"list like","value":["= pianoroll[:, :-semitone, 1:] pianoroll[:, :semitone, 1:] = 0 elif semitone < 0:","loader -------------------------------------------------------------- def load_data_from_npy(filename): \"\"\"Load and return the training data from a npy","0: pianoroll[:, :semitone, 1:] = pianoroll[:, -semitone:, 1:] pianoroll[:, semitone:, 1:] = 0","do not match.\") dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data, labels), [tf.float32, tf.int32]) if use_random_transpose:","pianoroll.set_shape(data_shape) return pianoroll def set_label_shape(label): \"\"\"Set the label shape and return the label.\"\"\"","return pianoroll def set_pianoroll_shape(pianoroll, data_shape): \"\"\"Set the pianoroll shape and return the pianoroll.\"\"\"","get_dataset(data, labels=None, batch_size=None, data_shape=None, use_random_transpose=False, num_threads=1): \"\"\"Create and return a tensorflow dataset from","file (sparse format).\"\"\" with np.load(filename) as f: data = np.zeros(f['shape'], np.bool_) data[[x for","a npz file (sparse format).\"\"\" with np.load(filename) as f: data = np.zeros(f['shape'], np.bool_)","\"\"\"Load and return the training data from a npy file.\"\"\" return np.load(filename) def","use_random_transpose=False, num_threads=1): \"\"\"Create and return a tensorflow dataset from an array.\"\"\" if labels","------------------------------------------------------- def _gen_data(data, labels=None): \"\"\"Data Generator.\"\"\" if labels is None: for item in","\"\"\"Randomly transpose a pianoroll with [-5, 6] semitones.\"\"\" semitone = np.random.randint(-5, 6) if","training data.\"\"\" if data_source == 'sa': import SharedArray as sa return sa.attach(data_filename) if","dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data, labels), [tf.float32, tf.int32]) if use_random_transpose: dataset = dataset.map(","import numpy as np import tensorflow.compat.v1 as tf from musegan.config import SHUFFLE_BUFFER_SIZE, PREFETCH_SIZE","\" \"But get \" + str(data_source)) # --- Dataset Utilities ------------------------------------------------------- def random_transpose(pianoroll):","(item * 2. - 1., labels[i]) else: yield (item, labels[i]) def get_dataset(data, labels=None,","1., labels[i]) else: yield (item, labels[i]) def get_dataset(data, labels=None, batch_size=None, data_shape=None, use_random_transpose=False, num_threads=1):","labels is None: for item in data: if np.issubdtype(data.dtype, np.bool_): yield item *","if use_random_transpose: dataset = dataset.map( lambda pianoroll: tf.py_func( random_transpose, [pianoroll], tf.float32), num_parallel_calls=num_threads) dataset","# --- Tensorflow Dataset ------------------------------------------------------- def _gen_data(data, labels=None): \"\"\"Data Generator.\"\"\" if labels is","= dataset.map(lambda pianoroll: set_pianoroll_shape( pianoroll, data_shape), num_parallel_calls=num_threads) else: assert len(data) == len(labels), (","`data_source` to be one of 'sa', 'npy', 'npz'. \" \"But get \" +","label.\"\"\" label.set_shape([1]) return label # --- Sampler ------------------------------------------------------------------ def get_samples(n_samples, data, labels=None, use_random_transpose=False):","if data_source == 'npz': return load_data_from_npz(data_filename) raise ValueError(\"Expect `data_source` to be one of","--- Sampler ------------------------------------------------------------------ def get_samples(n_samples, data, labels=None, use_random_transpose=False): \"\"\"Return some random samples of","* 2. - 1., labels[i]) else: yield (item, labels[i]) def get_dataset(data, labels=None, batch_size=None,","1. else: sample_data = data[indices] if use_random_transpose: sample_data = np.array([random_transpose(x) for x in","tf.float32), label), num_parallel_calls=num_threads) dataset = dataset.map( lambda pianoroll, label: (set_pianoroll_shape( pianoroll, data_shape), set_label_shape(label)),","--- Data loader -------------------------------------------------------------- def load_data_from_npy(filename): \"\"\"Load and return the training data from","\"\"\"Data Generator.\"\"\" if labels is None: for item in data: if np.issubdtype(data.dtype, np.bool_):","0 return pianoroll def set_pianoroll_shape(pianoroll, data_shape): \"\"\"Set the pianoroll shape and return the","the label shape and return the label.\"\"\" label.set_shape([1]) return label # --- Sampler","samples of the training data.\"\"\" indices = np.random.choice(len(data), n_samples, False) if np.issubdtype(data.dtype, np.bool_):","for item in data: if np.issubdtype(data.dtype, np.bool_): yield item * 2. - 1.","np.issubdtype(data.dtype, np.bool_): yield (item * 2. - 1., labels[i]) else: yield (item, labels[i])","pianoroll[:, semitone:, 1:] = 0 return pianoroll def set_pianoroll_shape(pianoroll, data_shape): \"\"\"Set the pianoroll","return np.load(filename) def load_data_from_npz(filename): \"\"\"Load and return the training data from a npz","labels=None): \"\"\"Data Generator.\"\"\" if labels is None: for item in data: if np.issubdtype(data.dtype,","shape and return the pianoroll.\"\"\" pianoroll.set_shape(data_shape) return pianoroll def set_label_shape(label): \"\"\"Set the label","== 'npy': return load_data_from_npy(data_filename) if data_source == 'npz': return load_data_from_npz(data_filename) raise ValueError(\"Expect `data_source`","pianoroll shape and return the pianoroll.\"\"\" pianoroll.set_shape(data_shape) return pianoroll def set_label_shape(label): \"\"\"Set the","1. else: yield item else: for i, item in enumerate(data): if np.issubdtype(data.dtype, np.bool_):","= tf.data.Dataset.from_generator( lambda: _gen_data(data, labels), [tf.float32, tf.int32]) if use_random_transpose: dataset = dataset.map( lambda","SharedArray as sa return sa.attach(data_filename) if data_source == 'npy': return load_data_from_npy(data_filename) if data_source","contains functions for loading and preprocessing pianoroll data. \"\"\" import logging import numpy","return sample_data return sample_data, labels[indices] # --- Tensorflow Dataset ------------------------------------------------------- def _gen_data(data, labels=None):","np import tensorflow.compat.v1 as tf from musegan.config import SHUFFLE_BUFFER_SIZE, PREFETCH_SIZE LOGGER = logging.getLogger(__name__)","of 'sa', 'npy', 'npz'. \" \"But get \" + str(data_source)) # --- Dataset","[pianoroll], tf.float32), num_parallel_calls=num_threads) dataset = dataset.map(lambda pianoroll: set_pianoroll_shape( pianoroll, data_shape), num_parallel_calls=num_threads) else: assert","the label.\"\"\" label.set_shape([1]) return label # --- Sampler ------------------------------------------------------------------ def get_samples(n_samples, data, labels=None,","some random samples of the training data.\"\"\" indices = np.random.choice(len(data), n_samples, False) if","pianoroll data. \"\"\" import logging import numpy as np import tensorflow.compat.v1 as tf","6] semitones.\"\"\" semitone = np.random.randint(-5, 6) if semitone > 0: pianoroll[:, semitone:, 1:]","if use_random_transpose: dataset = dataset.map( lambda pianoroll, label: ( tf.py_func(random_transpose, [pianoroll], tf.float32), label),","True return data def load_data(data_source, data_filename): \"\"\"Load and return the training data.\"\"\" if","'npz': return load_data_from_npz(data_filename) raise ValueError(\"Expect `data_source` to be one of 'sa', 'npy', 'npz'.","indices = np.random.choice(len(data), n_samples, False) if np.issubdtype(data.dtype, np.bool_): sample_data = data[indices] * 2.","= 0 return pianoroll def set_pianoroll_shape(pianoroll, data_shape): \"\"\"Set the pianoroll shape and return","2. - 1. else: yield item else: for i, item in enumerate(data): if","data_source == 'npy': return load_data_from_npy(data_filename) if data_source == 'npz': return load_data_from_npz(data_filename) raise ValueError(\"Expect","semitones.\"\"\" semitone = np.random.randint(-5, 6) if semitone > 0: pianoroll[:, semitone:, 1:] =","npy file.\"\"\" return np.load(filename) def load_data_from_npz(filename): \"\"\"Load and return the training data from","of the training data.\"\"\" indices = np.random.choice(len(data), n_samples, False) if np.issubdtype(data.dtype, np.bool_): sample_data","semitone < 0: pianoroll[:, :semitone, 1:] = pianoroll[:, -semitone:, 1:] pianoroll[:, semitone:, 1:]","item * 2. - 1. else: yield item else: for i, item in","np.load(filename) as f: data = np.zeros(f['shape'], np.bool_) data[[x for x in f['nonzero']]] =","\"\"\"This file contains functions for loading and preprocessing pianoroll data. \"\"\" import logging","PREFETCH_SIZE LOGGER = logging.getLogger(__name__) # --- Data loader -------------------------------------------------------------- def load_data_from_npy(filename): \"\"\"Load and","\"But get \" + str(data_source)) # --- Dataset Utilities ------------------------------------------------------- def random_transpose(pianoroll): \"\"\"Randomly","random samples of the training data.\"\"\" indices = np.random.choice(len(data), n_samples, False) if np.issubdtype(data.dtype,","logging import numpy as np import tensorflow.compat.v1 as tf from musegan.config import SHUFFLE_BUFFER_SIZE,","else: for i, item in enumerate(data): if np.issubdtype(data.dtype, np.bool_): yield (item * 2.","def set_pianoroll_shape(pianoroll, data_shape): \"\"\"Set the pianoroll shape and return the pianoroll.\"\"\" pianoroll.set_shape(data_shape) return","dataset.map(lambda pianoroll: set_pianoroll_shape( pianoroll, data_shape), num_parallel_calls=num_threads) else: assert len(data) == len(labels), ( \"Lengths","f: data = np.zeros(f['shape'], np.bool_) data[[x for x in f['nonzero']]] = True return","n_samples, False) if np.issubdtype(data.dtype, np.bool_): sample_data = data[indices] * 2. - 1. else:","= np.random.randint(-5, 6) if semitone > 0: pianoroll[:, semitone:, 1:] = pianoroll[:, :-semitone,","sample_data, labels[indices] # --- Tensorflow Dataset ------------------------------------------------------- def _gen_data(data, labels=None): \"\"\"Data Generator.\"\"\" if","def get_dataset(data, labels=None, batch_size=None, data_shape=None, use_random_transpose=False, num_threads=1): \"\"\"Create and return a tensorflow dataset","= np.random.choice(len(data), n_samples, False) if np.issubdtype(data.dtype, np.bool_): sample_data = data[indices] * 2. -","a pianoroll with [-5, 6] semitones.\"\"\" semitone = np.random.randint(-5, 6) if semitone >","tf from musegan.config import SHUFFLE_BUFFER_SIZE, PREFETCH_SIZE LOGGER = logging.getLogger(__name__) # --- Data loader","* 2. - 1. else: sample_data = data[indices] if use_random_transpose: sample_data = np.array([random_transpose(x)","transpose a pianoroll with [-5, 6] semitones.\"\"\" semitone = np.random.randint(-5, 6) if semitone","for i, item in enumerate(data): if np.issubdtype(data.dtype, np.bool_): yield (item * 2. -","from a npz file (sparse format).\"\"\" with np.load(filename) as f: data = np.zeros(f['shape'],","(item, labels[i]) def get_dataset(data, labels=None, batch_size=None, data_shape=None, use_random_transpose=False, num_threads=1): \"\"\"Create and return a","else: yield (item, labels[i]) def get_dataset(data, labels=None, batch_size=None, data_shape=None, use_random_transpose=False, num_threads=1): \"\"\"Create and","label shape and return the label.\"\"\" label.set_shape([1]) return label # --- Sampler ------------------------------------------------------------------","logging.getLogger(__name__) # --- Data loader -------------------------------------------------------------- def load_data_from_npy(filename): \"\"\"Load and return the training","dataset = dataset.map(lambda pianoroll: set_pianoroll_shape( pianoroll, data_shape), num_parallel_calls=num_threads) else: assert len(data) == len(labels),","tf.data.Dataset.from_generator( lambda: _gen_data(data), tf.float32) if use_random_transpose: dataset = dataset.map( lambda pianoroll: tf.py_func( random_transpose,","yield item * 2. - 1. else: yield item else: for i, item","else: yield item else: for i, item in enumerate(data): if np.issubdtype(data.dtype, np.bool_): yield","np.issubdtype(data.dtype, np.bool_): sample_data = data[indices] * 2. - 1. else: sample_data = data[indices]","- 1., labels[i]) else: yield (item, labels[i]) def get_dataset(data, labels=None, batch_size=None, data_shape=None, use_random_transpose=False,","in sample_data]) if labels is None: return sample_data return sample_data, labels[indices] # ---","is None: return sample_data return sample_data, labels[indices] # --- Tensorflow Dataset ------------------------------------------------------- def","def get_samples(n_samples, data, labels=None, use_random_transpose=False): \"\"\"Return some random samples of the training data.\"\"\"","Data loader -------------------------------------------------------------- def load_data_from_npy(filename): \"\"\"Load and return the training data from a","data[indices] if use_random_transpose: sample_data = np.array([random_transpose(x) for x in sample_data]) if labels is","if labels is None: return sample_data return sample_data, labels[indices] # --- Tensorflow Dataset","lambda pianoroll, label: (set_pianoroll_shape( pianoroll, data_shape), set_label_shape(label)), num_parallel_calls=num_threads) dataset = dataset.shuffle(SHUFFLE_BUFFER_SIZE).repeat().batch(batch_size) return dataset.prefetch(PREFETCH_SIZE)","dataset from an array.\"\"\" if labels is None: dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data),","= data[indices] if use_random_transpose: sample_data = np.array([random_transpose(x) for x in sample_data]) if labels","Utilities ------------------------------------------------------- def random_transpose(pianoroll): \"\"\"Randomly transpose a pianoroll with [-5, 6] semitones.\"\"\" semitone",":-semitone, 1:] pianoroll[:, :semitone, 1:] = 0 elif semitone < 0: pianoroll[:, :semitone,","Sampler ------------------------------------------------------------------ def get_samples(n_samples, data, labels=None, use_random_transpose=False): \"\"\"Return some random samples of the","pianoroll[:, :semitone, 1:] = 0 elif semitone < 0: pianoroll[:, :semitone, 1:] =","`lables` do not match.\") dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data, labels), [tf.float32, tf.int32]) if","as f: data = np.zeros(f['shape'], np.bool_) data[[x for x in f['nonzero']]] = True","tf.py_func( random_transpose, [pianoroll], tf.float32), num_parallel_calls=num_threads) dataset = dataset.map(lambda pianoroll: set_pianoroll_shape( pianoroll, data_shape), num_parallel_calls=num_threads)","i, item in enumerate(data): if np.issubdtype(data.dtype, np.bool_): yield (item * 2. - 1.,","a tensorflow dataset from an array.\"\"\" if labels is None: dataset = tf.data.Dataset.from_generator(","use_random_transpose: sample_data = np.array([random_transpose(x) for x in sample_data]) if labels is None: return","dataset.map( lambda pianoroll: tf.py_func( random_transpose, [pianoroll], tf.float32), num_parallel_calls=num_threads) dataset = dataset.map(lambda pianoroll: set_pianoroll_shape(","and return the training data from a npy file.\"\"\" return np.load(filename) def load_data_from_npz(filename):","\"\"\"Set the pianoroll shape and return the pianoroll.\"\"\" pianoroll.set_shape(data_shape) return pianoroll def set_label_shape(label):","the pianoroll.\"\"\" pianoroll.set_shape(data_shape) return pianoroll def set_label_shape(label): \"\"\"Set the label shape and return","return the pianoroll.\"\"\" pianoroll.set_shape(data_shape) return pianoroll def set_label_shape(label): \"\"\"Set the label shape and","import SharedArray as sa return sa.attach(data_filename) if data_source == 'npy': return load_data_from_npy(data_filename) if","= logging.getLogger(__name__) # --- Data loader -------------------------------------------------------------- def load_data_from_npy(filename): \"\"\"Load and return the","= dataset.map( lambda pianoroll, label: ( tf.py_func(random_transpose, [pianoroll], tf.float32), label), num_parallel_calls=num_threads) dataset =","semitone > 0: pianoroll[:, semitone:, 1:] = pianoroll[:, :-semitone, 1:] pianoroll[:, :semitone, 1:]","shape and return the label.\"\"\" label.set_shape([1]) return label # --- Sampler ------------------------------------------------------------------ def","semitone:, 1:] = pianoroll[:, :-semitone, 1:] pianoroll[:, :semitone, 1:] = 0 elif semitone","the training data.\"\"\" if data_source == 'sa': import SharedArray as sa return sa.attach(data_filename)","data. \"\"\" import logging import numpy as np import tensorflow.compat.v1 as tf from","data from a npy file.\"\"\" return np.load(filename) def load_data_from_npz(filename): \"\"\"Load and return the","\"\"\" import logging import numpy as np import tensorflow.compat.v1 as tf from musegan.config","------------------------------------------------------------------ def get_samples(n_samples, data, labels=None, use_random_transpose=False): \"\"\"Return some random samples of the training","functions for loading and preprocessing pianoroll data. \"\"\" import logging import numpy as","- 1. else: sample_data = data[indices] if use_random_transpose: sample_data = np.array([random_transpose(x) for x","False) if np.issubdtype(data.dtype, np.bool_): sample_data = data[indices] * 2. - 1. else: sample_data","== 'sa': import SharedArray as sa return sa.attach(data_filename) if data_source == 'npy': return","pianoroll[:, :-semitone, 1:] pianoroll[:, :semitone, 1:] = 0 elif semitone < 0: pianoroll[:,","item in enumerate(data): if np.issubdtype(data.dtype, np.bool_): yield (item * 2. - 1., labels[i])","str(data_source)) # --- Dataset Utilities ------------------------------------------------------- def random_transpose(pianoroll): \"\"\"Randomly transpose a pianoroll with","\"\"\"Set the label shape and return the label.\"\"\" label.set_shape([1]) return label # ---","(sparse format).\"\"\" with np.load(filename) as f: data = np.zeros(f['shape'], np.bool_) data[[x for x","import tensorflow.compat.v1 as tf from musegan.config import SHUFFLE_BUFFER_SIZE, PREFETCH_SIZE LOGGER = logging.getLogger(__name__) #","data.\"\"\" indices = np.random.choice(len(data), n_samples, False) if np.issubdtype(data.dtype, np.bool_): sample_data = data[indices] *","item else: for i, item in enumerate(data): if np.issubdtype(data.dtype, np.bool_): yield (item *","num_parallel_calls=num_threads) else: assert len(data) == len(labels), ( \"Lengths of `data` and `lables` do","and return a tensorflow dataset from an array.\"\"\" if labels is None: dataset","format).\"\"\" with np.load(filename) as f: data = np.zeros(f['shape'], np.bool_) data[[x for x in","2. - 1. else: sample_data = data[indices] if use_random_transpose: sample_data = np.array([random_transpose(x) for","from musegan.config import SHUFFLE_BUFFER_SIZE, PREFETCH_SIZE LOGGER = logging.getLogger(__name__) # --- Data loader --------------------------------------------------------------","data.\"\"\" if data_source == 'sa': import SharedArray as sa return sa.attach(data_filename) if data_source","1:] = 0 elif semitone < 0: pianoroll[:, :semitone, 1:] = pianoroll[:, -semitone:,","labels=None, use_random_transpose=False): \"\"\"Return some random samples of the training data.\"\"\" indices = np.random.choice(len(data),","return the training data.\"\"\" if data_source == 'sa': import SharedArray as sa return","-semitone:, 1:] pianoroll[:, semitone:, 1:] = 0 return pianoroll def set_pianoroll_shape(pianoroll, data_shape): \"\"\"Set","'npy', 'npz'. \" \"But get \" + str(data_source)) # --- Dataset Utilities -------------------------------------------------------","\"Lengths of `data` and `lables` do not match.\") dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data,","with [-5, 6] semitones.\"\"\" semitone = np.random.randint(-5, 6) if semitone > 0: pianoroll[:,","lambda: _gen_data(data, labels), [tf.float32, tf.int32]) if use_random_transpose: dataset = dataset.map( lambda pianoroll, label:","data, labels=None, use_random_transpose=False): \"\"\"Return some random samples of the training data.\"\"\" indices =","yield (item, labels[i]) def get_dataset(data, labels=None, batch_size=None, data_shape=None, use_random_transpose=False, num_threads=1): \"\"\"Create and return","data[[x for x in f['nonzero']]] = True return data def load_data(data_source, data_filename): \"\"\"Load","get_samples(n_samples, data, labels=None, use_random_transpose=False): \"\"\"Return some random samples of the training data.\"\"\" indices","[pianoroll], tf.float32), label), num_parallel_calls=num_threads) dataset = dataset.map( lambda pianoroll, label: (set_pianoroll_shape( pianoroll, data_shape),","tf.float32), num_parallel_calls=num_threads) dataset = dataset.map(lambda pianoroll: set_pianoroll_shape( pianoroll, data_shape), num_parallel_calls=num_threads) else: assert len(data)","load_data_from_npz(data_filename) raise ValueError(\"Expect `data_source` to be one of 'sa', 'npy', 'npz'. \" \"But","sample_data return sample_data, labels[indices] # --- Tensorflow Dataset ------------------------------------------------------- def _gen_data(data, labels=None): \"\"\"Data","def _gen_data(data, labels=None): \"\"\"Data Generator.\"\"\" if labels is None: for item in data:","len(labels), ( \"Lengths of `data` and `lables` do not match.\") dataset = tf.data.Dataset.from_generator(","tf.data.Dataset.from_generator( lambda: _gen_data(data, labels), [tf.float32, tf.int32]) if use_random_transpose: dataset = dataset.map( lambda pianoroll,","use_random_transpose: dataset = dataset.map( lambda pianoroll: tf.py_func( random_transpose, [pianoroll], tf.float32), num_parallel_calls=num_threads) dataset =","def load_data_from_npz(filename): \"\"\"Load and return the training data from a npz file (sparse","pianoroll with [-5, 6] semitones.\"\"\" semitone = np.random.randint(-5, 6) if semitone > 0:","def load_data(data_source, data_filename): \"\"\"Load and return the training data.\"\"\" if data_source == 'sa':","np.random.choice(len(data), n_samples, False) if np.issubdtype(data.dtype, np.bool_): sample_data = data[indices] * 2. - 1.","def random_transpose(pianoroll): \"\"\"Randomly transpose a pianoroll with [-5, 6] semitones.\"\"\" semitone = np.random.randint(-5,","to be one of 'sa', 'npy', 'npz'. \" \"But get \" + str(data_source))","\"\"\"Create and return a tensorflow dataset from an array.\"\"\" if labels is None:","if data_source == 'sa': import SharedArray as sa return sa.attach(data_filename) if data_source ==","enumerate(data): if np.issubdtype(data.dtype, np.bool_): yield (item * 2. - 1., labels[i]) else: yield","the training data from a npy file.\"\"\" return np.load(filename) def load_data_from_npz(filename): \"\"\"Load and","dataset = dataset.map( lambda pianoroll: tf.py_func( random_transpose, [pianoroll], tf.float32), num_parallel_calls=num_threads) dataset = dataset.map(lambda","file contains functions for loading and preprocessing pianoroll data. \"\"\" import logging import","6) if semitone > 0: pianoroll[:, semitone:, 1:] = pianoroll[:, :-semitone, 1:] pianoroll[:,","'sa', 'npy', 'npz'. \" \"But get \" + str(data_source)) # --- Dataset Utilities","'sa': import SharedArray as sa return sa.attach(data_filename) if data_source == 'npy': return load_data_from_npy(data_filename)","dataset.map( lambda pianoroll, label: ( tf.py_func(random_transpose, [pianoroll], tf.float32), label), num_parallel_calls=num_threads) dataset = dataset.map(","else: sample_data = data[indices] if use_random_transpose: sample_data = np.array([random_transpose(x) for x in sample_data])","lambda pianoroll: tf.py_func( random_transpose, [pianoroll], tf.float32), num_parallel_calls=num_threads) dataset = dataset.map(lambda pianoroll: set_pianoroll_shape( pianoroll,","sample_data]) if labels is None: return sample_data return sample_data, labels[indices] # --- Tensorflow","load_data(data_source, data_filename): \"\"\"Load and return the training data.\"\"\" if data_source == 'sa': import","dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data), tf.float32) if use_random_transpose: dataset = dataset.map( lambda pianoroll:","set_pianoroll_shape( pianoroll, data_shape), num_parallel_calls=num_threads) else: assert len(data) == len(labels), ( \"Lengths of `data`","num_parallel_calls=num_threads) dataset = dataset.map(lambda pianoroll: set_pianoroll_shape( pianoroll, data_shape), num_parallel_calls=num_threads) else: assert len(data) ==",":semitone, 1:] = pianoroll[:, -semitone:, 1:] pianoroll[:, semitone:, 1:] = 0 return pianoroll","sample_data = data[indices] * 2. - 1. else: sample_data = data[indices] if use_random_transpose:","num_threads=1): \"\"\"Create and return a tensorflow dataset from an array.\"\"\" if labels is","`data` and `lables` do not match.\") dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data, labels), [tf.float32,","_gen_data(data, labels), [tf.float32, tf.int32]) if use_random_transpose: dataset = dataset.map( lambda pianoroll, label: (","from an array.\"\"\" if labels is None: dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data), tf.float32)","is None: dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data), tf.float32) if use_random_transpose: dataset = dataset.map(","file.\"\"\" return np.load(filename) def load_data_from_npz(filename): \"\"\"Load and return the training data from a","use_random_transpose=False): \"\"\"Return some random samples of the training data.\"\"\" indices = np.random.choice(len(data), n_samples,","\"\"\"Return some random samples of the training data.\"\"\" indices = np.random.choice(len(data), n_samples, False)","pianoroll, data_shape), num_parallel_calls=num_threads) else: assert len(data) == len(labels), ( \"Lengths of `data` and","np.random.randint(-5, 6) if semitone > 0: pianoroll[:, semitone:, 1:] = pianoroll[:, :-semitone, 1:]","= data[indices] * 2. - 1. else: sample_data = data[indices] if use_random_transpose: sample_data","and return the label.\"\"\" label.set_shape([1]) return label # --- Sampler ------------------------------------------------------------------ def get_samples(n_samples,","return sample_data, labels[indices] # --- Tensorflow Dataset ------------------------------------------------------- def _gen_data(data, labels=None): \"\"\"Data Generator.\"\"\"","yield item else: for i, item in enumerate(data): if np.issubdtype(data.dtype, np.bool_): yield (item","None: return sample_data return sample_data, labels[indices] # --- Tensorflow Dataset ------------------------------------------------------- def _gen_data(data,","1:] = 0 return pianoroll def set_pianoroll_shape(pianoroll, data_shape): \"\"\"Set the pianoroll shape and","is None: for item in data: if np.issubdtype(data.dtype, np.bool_): yield item * 2.","tensorflow dataset from an array.\"\"\" if labels is None: dataset = tf.data.Dataset.from_generator( lambda:","np.zeros(f['shape'], np.bool_) data[[x for x in f['nonzero']]] = True return data def load_data(data_source,","dataset = dataset.map( lambda pianoroll, label: (set_pianoroll_shape( pianoroll, data_shape), set_label_shape(label)), num_parallel_calls=num_threads) dataset =","Dataset ------------------------------------------------------- def _gen_data(data, labels=None): \"\"\"Data Generator.\"\"\" if labels is None: for item","0: pianoroll[:, semitone:, 1:] = pianoroll[:, :-semitone, 1:] pianoroll[:, :semitone, 1:] = 0","== len(labels), ( \"Lengths of `data` and `lables` do not match.\") dataset =","def load_data_from_npy(filename): \"\"\"Load and return the training data from a npy file.\"\"\" return","Dataset Utilities ------------------------------------------------------- def random_transpose(pianoroll): \"\"\"Randomly transpose a pianoroll with [-5, 6] semitones.\"\"\"","if np.issubdtype(data.dtype, np.bool_): sample_data = data[indices] * 2. - 1. else: sample_data =","dataset = dataset.map( lambda pianoroll, label: ( tf.py_func(random_transpose, [pianoroll], tf.float32), label), num_parallel_calls=num_threads) dataset","return sa.attach(data_filename) if data_source == 'npy': return load_data_from_npy(data_filename) if data_source == 'npz': return","ValueError(\"Expect `data_source` to be one of 'sa', 'npy', 'npz'. \" \"But get \"","Tensorflow Dataset ------------------------------------------------------- def _gen_data(data, labels=None): \"\"\"Data Generator.\"\"\" if labels is None: for","use_random_transpose: dataset = dataset.map( lambda pianoroll, label: ( tf.py_func(random_transpose, [pianoroll], tf.float32), label), num_parallel_calls=num_threads)","as sa return sa.attach(data_filename) if data_source == 'npy': return load_data_from_npy(data_filename) if data_source ==","as np import tensorflow.compat.v1 as tf from musegan.config import SHUFFLE_BUFFER_SIZE, PREFETCH_SIZE LOGGER =","= np.zeros(f['shape'], np.bool_) data[[x for x in f['nonzero']]] = True return data def","# --- Sampler ------------------------------------------------------------------ def get_samples(n_samples, data, labels=None, use_random_transpose=False): \"\"\"Return some random samples","with np.load(filename) as f: data = np.zeros(f['shape'], np.bool_) data[[x for x in f['nonzero']]]","# --- Dataset Utilities ------------------------------------------------------- def random_transpose(pianoroll): \"\"\"Randomly transpose a pianoroll with [-5,","raise ValueError(\"Expect `data_source` to be one of 'sa', 'npy', 'npz'. \" \"But get","training data.\"\"\" indices = np.random.choice(len(data), n_samples, False) if np.issubdtype(data.dtype, np.bool_): sample_data = data[indices]","random_transpose(pianoroll): \"\"\"Randomly transpose a pianoroll with [-5, 6] semitones.\"\"\" semitone = np.random.randint(-5, 6)","not match.\") dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data, labels), [tf.float32, tf.int32]) if use_random_transpose: dataset","be one of 'sa', 'npy', 'npz'. \" \"But get \" + str(data_source)) #","= pianoroll[:, -semitone:, 1:] pianoroll[:, semitone:, 1:] = 0 return pianoroll def set_pianoroll_shape(pianoroll,","- 1. else: yield item else: for i, item in enumerate(data): if np.issubdtype(data.dtype,","return the training data from a npz file (sparse format).\"\"\" with np.load(filename) as","data_shape), num_parallel_calls=num_threads) else: assert len(data) == len(labels), ( \"Lengths of `data` and `lables`","1:] = pianoroll[:, :-semitone, 1:] pianoroll[:, :semitone, 1:] = 0 elif semitone <","if labels is None: for item in data: if np.issubdtype(data.dtype, np.bool_): yield item","lambda pianoroll, label: ( tf.py_func(random_transpose, [pianoroll], tf.float32), label), num_parallel_calls=num_threads) dataset = dataset.map( lambda","LOGGER = logging.getLogger(__name__) # --- Data loader -------------------------------------------------------------- def load_data_from_npy(filename): \"\"\"Load and return","'npz'. \" \"But get \" + str(data_source)) # --- Dataset Utilities ------------------------------------------------------- def","num_parallel_calls=num_threads) dataset = dataset.map( lambda pianoroll, label: (set_pianoroll_shape( pianoroll, data_shape), set_label_shape(label)), num_parallel_calls=num_threads) dataset","data: if np.issubdtype(data.dtype, np.bool_): yield item * 2. - 1. else: yield item","if semitone > 0: pianoroll[:, semitone:, 1:] = pianoroll[:, :-semitone, 1:] pianoroll[:, :semitone,","return load_data_from_npy(data_filename) if data_source == 'npz': return load_data_from_npz(data_filename) raise ValueError(\"Expect `data_source` to be","preprocessing pianoroll data. \"\"\" import logging import numpy as np import tensorflow.compat.v1 as","labels=None, batch_size=None, data_shape=None, use_random_transpose=False, num_threads=1): \"\"\"Create and return a tensorflow dataset from an","( \"Lengths of `data` and `lables` do not match.\") dataset = tf.data.Dataset.from_generator( lambda:","[-5, 6] semitones.\"\"\" semitone = np.random.randint(-5, 6) if semitone > 0: pianoroll[:, semitone:,","return label # --- Sampler ------------------------------------------------------------------ def get_samples(n_samples, data, labels=None, use_random_transpose=False): \"\"\"Return some","x in f['nonzero']]] = True return data def load_data(data_source, data_filename): \"\"\"Load and return","load_data_from_npy(filename): \"\"\"Load and return the training data from a npy file.\"\"\" return np.load(filename)","tf.float32) if use_random_transpose: dataset = dataset.map( lambda pianoroll: tf.py_func( random_transpose, [pianoroll], tf.float32), num_parallel_calls=num_threads)",":semitone, 1:] = 0 elif semitone < 0: pianoroll[:, :semitone, 1:] = pianoroll[:,","pianoroll def set_pianoroll_shape(pianoroll, data_shape): \"\"\"Set the pianoroll shape and return the pianoroll.\"\"\" pianoroll.set_shape(data_shape)","if labels is None: dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data), tf.float32) if use_random_transpose: dataset","pianoroll: set_pianoroll_shape( pianoroll, data_shape), num_parallel_calls=num_threads) else: assert len(data) == len(labels), ( \"Lengths of","as tf from musegan.config import SHUFFLE_BUFFER_SIZE, PREFETCH_SIZE LOGGER = logging.getLogger(__name__) # --- Data","pianoroll[:, semitone:, 1:] = pianoroll[:, :-semitone, 1:] pianoroll[:, :semitone, 1:] = 0 elif","musegan.config import SHUFFLE_BUFFER_SIZE, PREFETCH_SIZE LOGGER = logging.getLogger(__name__) # --- Data loader -------------------------------------------------------------- def","data_filename): \"\"\"Load and return the training data.\"\"\" if data_source == 'sa': import SharedArray","random_transpose, [pianoroll], tf.float32), num_parallel_calls=num_threads) dataset = dataset.map(lambda pianoroll: set_pianoroll_shape( pianoroll, data_shape), num_parallel_calls=num_threads) else:","< 0: pianoroll[:, :semitone, 1:] = pianoroll[:, -semitone:, 1:] pianoroll[:, semitone:, 1:] =","x in sample_data]) if labels is None: return sample_data return sample_data, labels[indices] #","== 'npz': return load_data_from_npz(data_filename) raise ValueError(\"Expect `data_source` to be one of 'sa', 'npy',","return data def load_data(data_source, data_filename): \"\"\"Load and return the training data.\"\"\" if data_source","data = np.zeros(f['shape'], np.bool_) data[[x for x in f['nonzero']]] = True return data","pianoroll[:, :semitone, 1:] = pianoroll[:, -semitone:, 1:] pianoroll[:, semitone:, 1:] = 0 return","labels[indices] # --- Tensorflow Dataset ------------------------------------------------------- def _gen_data(data, labels=None): \"\"\"Data Generator.\"\"\" if labels","if np.issubdtype(data.dtype, np.bool_): yield item * 2. - 1. else: yield item else:","np.bool_): yield (item * 2. - 1., labels[i]) else: yield (item, labels[i]) def","= dataset.map( lambda pianoroll, label: (set_pianoroll_shape( pianoroll, data_shape), set_label_shape(label)), num_parallel_calls=num_threads) dataset = dataset.shuffle(SHUFFLE_BUFFER_SIZE).repeat().batch(batch_size)","and return the training data.\"\"\" if data_source == 'sa': import SharedArray as sa","loading and preprocessing pianoroll data. \"\"\" import logging import numpy as np import","f['nonzero']]] = True return data def load_data(data_source, data_filename): \"\"\"Load and return the training","np.bool_) data[[x for x in f['nonzero']]] = True return data def load_data(data_source, data_filename):","= 0 elif semitone < 0: pianoroll[:, :semitone, 1:] = pianoroll[:, -semitone:, 1:]","and return the pianoroll.\"\"\" pianoroll.set_shape(data_shape) return pianoroll def set_label_shape(label): \"\"\"Set the label shape","label), num_parallel_calls=num_threads) dataset = dataset.map( lambda pianoroll, label: (set_pianoroll_shape( pianoroll, data_shape), set_label_shape(label)), num_parallel_calls=num_threads)","label: ( tf.py_func(random_transpose, [pianoroll], tf.float32), label), num_parallel_calls=num_threads) dataset = dataset.map( lambda pianoroll, label:","labels is None: return sample_data return sample_data, labels[indices] # --- Tensorflow Dataset -------------------------------------------------------","data_shape): \"\"\"Set the pianoroll shape and return the pianoroll.\"\"\" pianoroll.set_shape(data_shape) return pianoroll def","else: assert len(data) == len(labels), ( \"Lengths of `data` and `lables` do not","the training data.\"\"\" indices = np.random.choice(len(data), n_samples, False) if np.issubdtype(data.dtype, np.bool_): sample_data =","\" + str(data_source)) # --- Dataset Utilities ------------------------------------------------------- def random_transpose(pianoroll): \"\"\"Randomly transpose a","------------------------------------------------------- def random_transpose(pianoroll): \"\"\"Randomly transpose a pianoroll with [-5, 6] semitones.\"\"\" semitone =","data_source == 'npz': return load_data_from_npz(data_filename) raise ValueError(\"Expect `data_source` to be one of 'sa',","tf.int32]) if use_random_transpose: dataset = dataset.map( lambda pianoroll, label: ( tf.py_func(random_transpose, [pianoroll], tf.float32),","batch_size=None, data_shape=None, use_random_transpose=False, num_threads=1): \"\"\"Create and return a tensorflow dataset from an array.\"\"\"","np.load(filename) def load_data_from_npz(filename): \"\"\"Load and return the training data from a npz file","1:] pianoroll[:, :semitone, 1:] = 0 elif semitone < 0: pianoroll[:, :semitone, 1:]","lambda: _gen_data(data), tf.float32) if use_random_transpose: dataset = dataset.map( lambda pianoroll: tf.py_func( random_transpose, [pianoroll],","and `lables` do not match.\") dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data, labels), [tf.float32, tf.int32])","an array.\"\"\" if labels is None: dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data), tf.float32) if","numpy as np import tensorflow.compat.v1 as tf from musegan.config import SHUFFLE_BUFFER_SIZE, PREFETCH_SIZE LOGGER","data from a npz file (sparse format).\"\"\" with np.load(filename) as f: data =","= np.array([random_transpose(x) for x in sample_data]) if labels is None: return sample_data return","# --- Data loader -------------------------------------------------------------- def load_data_from_npy(filename): \"\"\"Load and return the training data","and preprocessing pianoroll data. \"\"\" import logging import numpy as np import tensorflow.compat.v1","[tf.float32, tf.int32]) if use_random_transpose: dataset = dataset.map( lambda pianoroll, label: ( tf.py_func(random_transpose, [pianoroll],","* 2. - 1. else: yield item else: for i, item in enumerate(data):","for x in sample_data]) if labels is None: return sample_data return sample_data, labels[indices]","return pianoroll def set_label_shape(label): \"\"\"Set the label shape and return the label.\"\"\" label.set_shape([1])","_gen_data(data, labels=None): \"\"\"Data Generator.\"\"\" if labels is None: for item in data: if","np.array([random_transpose(x) for x in sample_data]) if labels is None: return sample_data return sample_data,","for loading and preprocessing pianoroll data. \"\"\" import logging import numpy as np","labels is None: dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data), tf.float32) if use_random_transpose: dataset =","--- Dataset Utilities ------------------------------------------------------- def random_transpose(pianoroll): \"\"\"Randomly transpose a pianoroll with [-5, 6]","-------------------------------------------------------------- def load_data_from_npy(filename): \"\"\"Load and return the training data from a npy file.\"\"\"","pianoroll[:, -semitone:, 1:] pianoroll[:, semitone:, 1:] = 0 return pianoroll def set_pianoroll_shape(pianoroll, data_shape):","of `data` and `lables` do not match.\") dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data, labels),","get \" + str(data_source)) # --- Dataset Utilities ------------------------------------------------------- def random_transpose(pianoroll): \"\"\"Randomly transpose","label # --- Sampler ------------------------------------------------------------------ def get_samples(n_samples, data, labels=None, use_random_transpose=False): \"\"\"Return some random","'npy': return load_data_from_npy(data_filename) if data_source == 'npz': return load_data_from_npz(data_filename) raise ValueError(\"Expect `data_source` to","item in data: if np.issubdtype(data.dtype, np.bool_): yield item * 2. - 1. else:","Generator.\"\"\" if labels is None: for item in data: if np.issubdtype(data.dtype, np.bool_): yield","def set_label_shape(label): \"\"\"Set the label shape and return the label.\"\"\" label.set_shape([1]) return label","data def load_data(data_source, data_filename): \"\"\"Load and return the training data.\"\"\" if data_source ==","return a tensorflow dataset from an array.\"\"\" if labels is None: dataset =","array.\"\"\" if labels is None: dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data), tf.float32) if use_random_transpose:","the training data from a npz file (sparse format).\"\"\" with np.load(filename) as f:","= True return data def load_data(data_source, data_filename): \"\"\"Load and return the training data.\"\"\"","label.set_shape([1]) return label # --- Sampler ------------------------------------------------------------------ def get_samples(n_samples, data, labels=None, use_random_transpose=False): \"\"\"Return","if data_source == 'npy': return load_data_from_npy(data_filename) if data_source == 'npz': return load_data_from_npz(data_filename) raise","training data from a npz file (sparse format).\"\"\" with np.load(filename) as f: data","training data from a npy file.\"\"\" return np.load(filename) def load_data_from_npz(filename): \"\"\"Load and return","sa return sa.attach(data_filename) if data_source == 'npy': return load_data_from_npy(data_filename) if data_source == 'npz':","return load_data_from_npz(data_filename) raise ValueError(\"Expect `data_source` to be one of 'sa', 'npy', 'npz'. \"","import logging import numpy as np import tensorflow.compat.v1 as tf from musegan.config import","labels), [tf.float32, tf.int32]) if use_random_transpose: dataset = dataset.map( lambda pianoroll, label: ( tf.py_func(random_transpose,","if np.issubdtype(data.dtype, np.bool_): yield (item * 2. - 1., labels[i]) else: yield (item,","in data: if np.issubdtype(data.dtype, np.bool_): yield item * 2. - 1. else: yield","labels[i]) else: yield (item, labels[i]) def get_dataset(data, labels=None, batch_size=None, data_shape=None, use_random_transpose=False, num_threads=1): \"\"\"Create","semitone = np.random.randint(-5, 6) if semitone > 0: pianoroll[:, semitone:, 1:] = pianoroll[:,","1:] pianoroll[:, semitone:, 1:] = 0 return pianoroll def set_pianoroll_shape(pianoroll, data_shape): \"\"\"Set the","and return the training data from a npz file (sparse format).\"\"\" with np.load(filename)","np.issubdtype(data.dtype, np.bool_): yield item * 2. - 1. else: yield item else: for","data[indices] * 2. - 1. else: sample_data = data[indices] if use_random_transpose: sample_data =","+ str(data_source)) # --- Dataset Utilities ------------------------------------------------------- def random_transpose(pianoroll): \"\"\"Randomly transpose a pianoroll","sample_data = np.array([random_transpose(x) for x in sample_data]) if labels is None: return sample_data","for x in f['nonzero']]] = True return data def load_data(data_source, data_filename): \"\"\"Load and","set_pianoroll_shape(pianoroll, data_shape): \"\"\"Set the pianoroll shape and return the pianoroll.\"\"\" pianoroll.set_shape(data_shape) return pianoroll","data_shape=None, use_random_transpose=False, num_threads=1): \"\"\"Create and return a tensorflow dataset from an array.\"\"\" if","set_label_shape(label): \"\"\"Set the label shape and return the label.\"\"\" label.set_shape([1]) return label #","np.bool_): yield item * 2. - 1. else: yield item else: for i,","SHUFFLE_BUFFER_SIZE, PREFETCH_SIZE LOGGER = logging.getLogger(__name__) # --- Data loader -------------------------------------------------------------- def load_data_from_npy(filename): \"\"\"Load","_gen_data(data), tf.float32) if use_random_transpose: dataset = dataset.map( lambda pianoroll: tf.py_func( random_transpose, [pianoroll], tf.float32),","2. - 1., labels[i]) else: yield (item, labels[i]) def get_dataset(data, labels=None, batch_size=None, data_shape=None,","in enumerate(data): if np.issubdtype(data.dtype, np.bool_): yield (item * 2. - 1., labels[i]) else:","\"\"\"Load and return the training data from a npz file (sparse format).\"\"\" with","tensorflow.compat.v1 as tf from musegan.config import SHUFFLE_BUFFER_SIZE, PREFETCH_SIZE LOGGER = logging.getLogger(__name__) # ---","= tf.data.Dataset.from_generator( lambda: _gen_data(data), tf.float32) if use_random_transpose: dataset = dataset.map( lambda pianoroll: tf.py_func(","len(data) == len(labels), ( \"Lengths of `data` and `lables` do not match.\") dataset","elif semitone < 0: pianoroll[:, :semitone, 1:] = pianoroll[:, -semitone:, 1:] pianoroll[:, semitone:,","None: dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data), tf.float32) if use_random_transpose: dataset = dataset.map( lambda","in f['nonzero']]] = True return data def load_data(data_source, data_filename): \"\"\"Load and return the","\"\"\"Load and return the training data.\"\"\" if data_source == 'sa': import SharedArray as","assert len(data) == len(labels), ( \"Lengths of `data` and `lables` do not match.\")","pianoroll, label: ( tf.py_func(random_transpose, [pianoroll], tf.float32), label), num_parallel_calls=num_threads) dataset = dataset.map( lambda pianoroll,","1:] = pianoroll[:, -semitone:, 1:] pianoroll[:, semitone:, 1:] = 0 return pianoroll def","semitone:, 1:] = 0 return pianoroll def set_pianoroll_shape(pianoroll, data_shape): \"\"\"Set the pianoroll shape","return the training data from a npy file.\"\"\" return np.load(filename) def load_data_from_npz(filename): \"\"\"Load","tf.py_func(random_transpose, [pianoroll], tf.float32), label), num_parallel_calls=num_threads) dataset = dataset.map( lambda pianoroll, label: (set_pianoroll_shape( pianoroll,","pianoroll: tf.py_func( random_transpose, [pianoroll], tf.float32), num_parallel_calls=num_threads) dataset = dataset.map(lambda pianoroll: set_pianoroll_shape( pianoroll, data_shape),","if use_random_transpose: sample_data = np.array([random_transpose(x) for x in sample_data]) if labels is None:","one of 'sa', 'npy', 'npz'. \" \"But get \" + str(data_source)) # ---","a npy file.\"\"\" return np.load(filename) def load_data_from_npz(filename): \"\"\"Load and return the training data","from a npy file.\"\"\" return np.load(filename) def load_data_from_npz(filename): \"\"\"Load and return the training","sa.attach(data_filename) if data_source == 'npy': return load_data_from_npy(data_filename) if data_source == 'npz': return load_data_from_npz(data_filename)","sample_data = data[indices] if use_random_transpose: sample_data = np.array([random_transpose(x) for x in sample_data]) if","> 0: pianoroll[:, semitone:, 1:] = pianoroll[:, :-semitone, 1:] pianoroll[:, :semitone, 1:] =","= dataset.map( lambda pianoroll: tf.py_func( random_transpose, [pianoroll], tf.float32), num_parallel_calls=num_threads) dataset = dataset.map(lambda pianoroll:","labels[i]) def get_dataset(data, labels=None, batch_size=None, data_shape=None, use_random_transpose=False, num_threads=1): \"\"\"Create and return a tensorflow","match.\") dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data, labels), [tf.float32, tf.int32]) if use_random_transpose: dataset =","pianoroll def set_label_shape(label): \"\"\"Set the label shape and return the label.\"\"\" label.set_shape([1]) return","--- Tensorflow Dataset ------------------------------------------------------- def _gen_data(data, labels=None): \"\"\"Data Generator.\"\"\" if labels is None:","yield (item * 2. - 1., labels[i]) else: yield (item, labels[i]) def get_dataset(data,","None: for item in data: if np.issubdtype(data.dtype, np.bool_): yield item * 2. -","data_source == 'sa': import SharedArray as sa return sa.attach(data_filename) if data_source == 'npy':","the pianoroll shape and return the pianoroll.\"\"\" pianoroll.set_shape(data_shape) return pianoroll def set_label_shape(label): \"\"\"Set","dataset.map( lambda pianoroll, label: (set_pianoroll_shape( pianoroll, data_shape), set_label_shape(label)), num_parallel_calls=num_threads) dataset = dataset.shuffle(SHUFFLE_BUFFER_SIZE).repeat().batch(batch_size) return","( tf.py_func(random_transpose, [pianoroll], tf.float32), label), num_parallel_calls=num_threads) dataset = dataset.map( lambda pianoroll, label: (set_pianoroll_shape(","load_data_from_npz(filename): \"\"\"Load and return the training data from a npz file (sparse format).\"\"\"","load_data_from_npy(data_filename) if data_source == 'npz': return load_data_from_npz(data_filename) raise ValueError(\"Expect `data_source` to be one","np.bool_): sample_data = data[indices] * 2. - 1. else: sample_data = data[indices] if","pianoroll.\"\"\" pianoroll.set_shape(data_shape) return pianoroll def set_label_shape(label): \"\"\"Set the label shape and return the","0 elif semitone < 0: pianoroll[:, :semitone, 1:] = pianoroll[:, -semitone:, 1:] pianoroll[:,","return the label.\"\"\" label.set_shape([1]) return label # --- Sampler ------------------------------------------------------------------ def get_samples(n_samples, data,","npz file (sparse format).\"\"\" with np.load(filename) as f: data = np.zeros(f['shape'], np.bool_) data[[x","import SHUFFLE_BUFFER_SIZE, PREFETCH_SIZE LOGGER = logging.getLogger(__name__) # --- Data loader -------------------------------------------------------------- def load_data_from_npy(filename):"],"string":"[\n \"= pianoroll[:, :-semitone, 1:] pianoroll[:, :semitone, 1:] = 0 elif semitone < 0:\",\n \"loader -------------------------------------------------------------- def load_data_from_npy(filename): \\\"\\\"\\\"Load and return the training data from a npy\",\n \"0: pianoroll[:, :semitone, 1:] = pianoroll[:, -semitone:, 1:] pianoroll[:, semitone:, 1:] = 0\",\n \"do not match.\\\") dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data, labels), [tf.float32, tf.int32]) if use_random_transpose:\",\n \"pianoroll.set_shape(data_shape) return pianoroll def set_label_shape(label): \\\"\\\"\\\"Set the label shape and return the label.\\\"\\\"\\\"\",\n \"return pianoroll def set_pianoroll_shape(pianoroll, data_shape): \\\"\\\"\\\"Set the pianoroll shape and return the pianoroll.\\\"\\\"\\\"\",\n \"get_dataset(data, labels=None, batch_size=None, data_shape=None, use_random_transpose=False, num_threads=1): \\\"\\\"\\\"Create and return a tensorflow dataset from\",\n \"file (sparse format).\\\"\\\"\\\" with np.load(filename) as f: data = np.zeros(f['shape'], np.bool_) data[[x for\",\n \"a npz file (sparse format).\\\"\\\"\\\" with np.load(filename) as f: data = np.zeros(f['shape'], np.bool_)\",\n \"\\\"\\\"\\\"Load and return the training data from a npy file.\\\"\\\"\\\" return np.load(filename) def\",\n \"use_random_transpose=False, num_threads=1): \\\"\\\"\\\"Create and return a tensorflow dataset from an array.\\\"\\\"\\\" if labels\",\n \"------------------------------------------------------- def _gen_data(data, labels=None): \\\"\\\"\\\"Data Generator.\\\"\\\"\\\" if labels is None: for item in\",\n \"\\\"\\\"\\\"Randomly transpose a pianoroll with [-5, 6] semitones.\\\"\\\"\\\" semitone = np.random.randint(-5, 6) if\",\n \"training data.\\\"\\\"\\\" if data_source == 'sa': import SharedArray as sa return sa.attach(data_filename) if\",\n \"dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data, labels), [tf.float32, tf.int32]) if use_random_transpose: dataset = dataset.map(\",\n \"import numpy as np import tensorflow.compat.v1 as tf from musegan.config import SHUFFLE_BUFFER_SIZE, PREFETCH_SIZE\",\n \"\\\" \\\"But get \\\" + str(data_source)) # --- Dataset Utilities ------------------------------------------------------- def random_transpose(pianoroll):\",\n \"(item * 2. - 1., labels[i]) else: yield (item, labels[i]) def get_dataset(data, labels=None,\",\n \"1., labels[i]) else: yield (item, labels[i]) def get_dataset(data, labels=None, batch_size=None, data_shape=None, use_random_transpose=False, num_threads=1):\",\n \"labels is None: for item in data: if np.issubdtype(data.dtype, np.bool_): yield item *\",\n \"if use_random_transpose: dataset = dataset.map( lambda pianoroll: tf.py_func( random_transpose, [pianoroll], tf.float32), num_parallel_calls=num_threads) dataset\",\n \"# --- Tensorflow Dataset ------------------------------------------------------- def _gen_data(data, labels=None): \\\"\\\"\\\"Data Generator.\\\"\\\"\\\" if labels is\",\n \"= dataset.map(lambda pianoroll: set_pianoroll_shape( pianoroll, data_shape), num_parallel_calls=num_threads) else: assert len(data) == len(labels), (\",\n \"`data_source` to be one of 'sa', 'npy', 'npz'. \\\" \\\"But get \\\" +\",\n \"label.\\\"\\\"\\\" label.set_shape([1]) return label # --- Sampler ------------------------------------------------------------------ def get_samples(n_samples, data, labels=None, use_random_transpose=False):\",\n \"if data_source == 'npz': return load_data_from_npz(data_filename) raise ValueError(\\\"Expect `data_source` to be one of\",\n \"--- Sampler ------------------------------------------------------------------ def get_samples(n_samples, data, labels=None, use_random_transpose=False): \\\"\\\"\\\"Return some random samples of\",\n \"* 2. - 1., labels[i]) else: yield (item, labels[i]) def get_dataset(data, labels=None, batch_size=None,\",\n \"1. else: sample_data = data[indices] if use_random_transpose: sample_data = np.array([random_transpose(x) for x in\",\n \"tf.float32), label), num_parallel_calls=num_threads) dataset = dataset.map( lambda pianoroll, label: (set_pianoroll_shape( pianoroll, data_shape), set_label_shape(label)),\",\n \"--- Data loader -------------------------------------------------------------- def load_data_from_npy(filename): \\\"\\\"\\\"Load and return the training data from\",\n \"\\\"\\\"\\\"Data Generator.\\\"\\\"\\\" if labels is None: for item in data: if np.issubdtype(data.dtype, np.bool_):\",\n \"0 return pianoroll def set_pianoroll_shape(pianoroll, data_shape): \\\"\\\"\\\"Set the pianoroll shape and return the\",\n \"the label shape and return the label.\\\"\\\"\\\" label.set_shape([1]) return label # --- Sampler\",\n \"samples of the training data.\\\"\\\"\\\" indices = np.random.choice(len(data), n_samples, False) if np.issubdtype(data.dtype, np.bool_):\",\n \"for item in data: if np.issubdtype(data.dtype, np.bool_): yield item * 2. - 1.\",\n \"np.issubdtype(data.dtype, np.bool_): yield (item * 2. - 1., labels[i]) else: yield (item, labels[i])\",\n \"pianoroll[:, semitone:, 1:] = 0 return pianoroll def set_pianoroll_shape(pianoroll, data_shape): \\\"\\\"\\\"Set the pianoroll\",\n \"return np.load(filename) def load_data_from_npz(filename): \\\"\\\"\\\"Load and return the training data from a npz\",\n \"labels=None): \\\"\\\"\\\"Data Generator.\\\"\\\"\\\" if labels is None: for item in data: if np.issubdtype(data.dtype,\",\n \"shape and return the pianoroll.\\\"\\\"\\\" pianoroll.set_shape(data_shape) return pianoroll def set_label_shape(label): \\\"\\\"\\\"Set the label\",\n \"== 'npy': return load_data_from_npy(data_filename) if data_source == 'npz': return load_data_from_npz(data_filename) raise ValueError(\\\"Expect `data_source`\",\n \"pianoroll shape and return the pianoroll.\\\"\\\"\\\" pianoroll.set_shape(data_shape) return pianoroll def set_label_shape(label): \\\"\\\"\\\"Set the\",\n \"1. else: yield item else: for i, item in enumerate(data): if np.issubdtype(data.dtype, np.bool_):\",\n \"= tf.data.Dataset.from_generator( lambda: _gen_data(data, labels), [tf.float32, tf.int32]) if use_random_transpose: dataset = dataset.map( lambda\",\n \"SharedArray as sa return sa.attach(data_filename) if data_source == 'npy': return load_data_from_npy(data_filename) if data_source\",\n \"contains functions for loading and preprocessing pianoroll data. \\\"\\\"\\\" import logging import numpy\",\n \"return sample_data return sample_data, labels[indices] # --- Tensorflow Dataset ------------------------------------------------------- def _gen_data(data, labels=None):\",\n \"np import tensorflow.compat.v1 as tf from musegan.config import SHUFFLE_BUFFER_SIZE, PREFETCH_SIZE LOGGER = logging.getLogger(__name__)\",\n \"of 'sa', 'npy', 'npz'. \\\" \\\"But get \\\" + str(data_source)) # --- Dataset\",\n \"[pianoroll], tf.float32), num_parallel_calls=num_threads) dataset = dataset.map(lambda pianoroll: set_pianoroll_shape( pianoroll, data_shape), num_parallel_calls=num_threads) else: assert\",\n \"the label.\\\"\\\"\\\" label.set_shape([1]) return label # --- Sampler ------------------------------------------------------------------ def get_samples(n_samples, data, labels=None,\",\n \"some random samples of the training data.\\\"\\\"\\\" indices = np.random.choice(len(data), n_samples, False) if\",\n \"pianoroll data. \\\"\\\"\\\" import logging import numpy as np import tensorflow.compat.v1 as tf\",\n \"6] semitones.\\\"\\\"\\\" semitone = np.random.randint(-5, 6) if semitone > 0: pianoroll[:, semitone:, 1:]\",\n \"if use_random_transpose: dataset = dataset.map( lambda pianoroll, label: ( tf.py_func(random_transpose, [pianoroll], tf.float32), label),\",\n \"True return data def load_data(data_source, data_filename): \\\"\\\"\\\"Load and return the training data.\\\"\\\"\\\" if\",\n \"'npz': return load_data_from_npz(data_filename) raise ValueError(\\\"Expect `data_source` to be one of 'sa', 'npy', 'npz'.\",\n \"indices = np.random.choice(len(data), n_samples, False) if np.issubdtype(data.dtype, np.bool_): sample_data = data[indices] * 2.\",\n \"= 0 return pianoroll def set_pianoroll_shape(pianoroll, data_shape): \\\"\\\"\\\"Set the pianoroll shape and return\",\n \"2. - 1. else: yield item else: for i, item in enumerate(data): if\",\n \"data_source == 'npy': return load_data_from_npy(data_filename) if data_source == 'npz': return load_data_from_npz(data_filename) raise ValueError(\\\"Expect\",\n \"semitones.\\\"\\\"\\\" semitone = np.random.randint(-5, 6) if semitone > 0: pianoroll[:, semitone:, 1:] =\",\n \"npy file.\\\"\\\"\\\" return np.load(filename) def load_data_from_npz(filename): \\\"\\\"\\\"Load and return the training data from\",\n \"of the training data.\\\"\\\"\\\" indices = np.random.choice(len(data), n_samples, False) if np.issubdtype(data.dtype, np.bool_): sample_data\",\n \"semitone < 0: pianoroll[:, :semitone, 1:] = pianoroll[:, -semitone:, 1:] pianoroll[:, semitone:, 1:]\",\n \"item * 2. - 1. else: yield item else: for i, item in\",\n \"np.load(filename) as f: data = np.zeros(f['shape'], np.bool_) data[[x for x in f['nonzero']]] =\",\n \"\\\"\\\"\\\"This file contains functions for loading and preprocessing pianoroll data. \\\"\\\"\\\" import logging\",\n \"PREFETCH_SIZE LOGGER = logging.getLogger(__name__) # --- Data loader -------------------------------------------------------------- def load_data_from_npy(filename): \\\"\\\"\\\"Load and\",\n \"\\\"But get \\\" + str(data_source)) # --- Dataset Utilities ------------------------------------------------------- def random_transpose(pianoroll): \\\"\\\"\\\"Randomly\",\n \"random samples of the training data.\\\"\\\"\\\" indices = np.random.choice(len(data), n_samples, False) if np.issubdtype(data.dtype,\",\n \"logging import numpy as np import tensorflow.compat.v1 as tf from musegan.config import SHUFFLE_BUFFER_SIZE,\",\n \"else: for i, item in enumerate(data): if np.issubdtype(data.dtype, np.bool_): yield (item * 2.\",\n \"def set_pianoroll_shape(pianoroll, data_shape): \\\"\\\"\\\"Set the pianoroll shape and return the pianoroll.\\\"\\\"\\\" pianoroll.set_shape(data_shape) return\",\n \"dataset.map(lambda pianoroll: set_pianoroll_shape( pianoroll, data_shape), num_parallel_calls=num_threads) else: assert len(data) == len(labels), ( \\\"Lengths\",\n \"f: data = np.zeros(f['shape'], np.bool_) data[[x for x in f['nonzero']]] = True return\",\n \"n_samples, False) if np.issubdtype(data.dtype, np.bool_): sample_data = data[indices] * 2. - 1. else:\",\n \"= np.random.randint(-5, 6) if semitone > 0: pianoroll[:, semitone:, 1:] = pianoroll[:, :-semitone,\",\n \"sample_data, labels[indices] # --- Tensorflow Dataset ------------------------------------------------------- def _gen_data(data, labels=None): \\\"\\\"\\\"Data Generator.\\\"\\\"\\\" if\",\n \"def get_dataset(data, labels=None, batch_size=None, data_shape=None, use_random_transpose=False, num_threads=1): \\\"\\\"\\\"Create and return a tensorflow dataset\",\n \"= np.random.choice(len(data), n_samples, False) if np.issubdtype(data.dtype, np.bool_): sample_data = data[indices] * 2. -\",\n \"a pianoroll with [-5, 6] semitones.\\\"\\\"\\\" semitone = np.random.randint(-5, 6) if semitone >\",\n \"tf from musegan.config import SHUFFLE_BUFFER_SIZE, PREFETCH_SIZE LOGGER = logging.getLogger(__name__) # --- Data loader\",\n \"* 2. - 1. else: sample_data = data[indices] if use_random_transpose: sample_data = np.array([random_transpose(x)\",\n \"transpose a pianoroll with [-5, 6] semitones.\\\"\\\"\\\" semitone = np.random.randint(-5, 6) if semitone\",\n \"for i, item in enumerate(data): if np.issubdtype(data.dtype, np.bool_): yield (item * 2. -\",\n \"from a npz file (sparse format).\\\"\\\"\\\" with np.load(filename) as f: data = np.zeros(f['shape'],\",\n \"(item, labels[i]) def get_dataset(data, labels=None, batch_size=None, data_shape=None, use_random_transpose=False, num_threads=1): \\\"\\\"\\\"Create and return a\",\n \"else: yield (item, labels[i]) def get_dataset(data, labels=None, batch_size=None, data_shape=None, use_random_transpose=False, num_threads=1): \\\"\\\"\\\"Create and\",\n \"label shape and return the label.\\\"\\\"\\\" label.set_shape([1]) return label # --- Sampler ------------------------------------------------------------------\",\n \"logging.getLogger(__name__) # --- Data loader -------------------------------------------------------------- def load_data_from_npy(filename): \\\"\\\"\\\"Load and return the training\",\n \"dataset = dataset.map(lambda pianoroll: set_pianoroll_shape( pianoroll, data_shape), num_parallel_calls=num_threads) else: assert len(data) == len(labels),\",\n \"tf.data.Dataset.from_generator( lambda: _gen_data(data), tf.float32) if use_random_transpose: dataset = dataset.map( lambda pianoroll: tf.py_func( random_transpose,\",\n \"yield item * 2. - 1. else: yield item else: for i, item\",\n \"else: yield item else: for i, item in enumerate(data): if np.issubdtype(data.dtype, np.bool_): yield\",\n \"np.issubdtype(data.dtype, np.bool_): sample_data = data[indices] * 2. - 1. else: sample_data = data[indices]\",\n \"- 1., labels[i]) else: yield (item, labels[i]) def get_dataset(data, labels=None, batch_size=None, data_shape=None, use_random_transpose=False,\",\n \"in sample_data]) if labels is None: return sample_data return sample_data, labels[indices] # ---\",\n \"is None: return sample_data return sample_data, labels[indices] # --- Tensorflow Dataset ------------------------------------------------------- def\",\n \"def get_samples(n_samples, data, labels=None, use_random_transpose=False): \\\"\\\"\\\"Return some random samples of the training data.\\\"\\\"\\\"\",\n \"Data loader -------------------------------------------------------------- def load_data_from_npy(filename): \\\"\\\"\\\"Load and return the training data from a\",\n \"data[indices] if use_random_transpose: sample_data = np.array([random_transpose(x) for x in sample_data]) if labels is\",\n \"if labels is None: return sample_data return sample_data, labels[indices] # --- Tensorflow Dataset\",\n \"lambda pianoroll, label: (set_pianoroll_shape( pianoroll, data_shape), set_label_shape(label)), num_parallel_calls=num_threads) dataset = dataset.shuffle(SHUFFLE_BUFFER_SIZE).repeat().batch(batch_size) return dataset.prefetch(PREFETCH_SIZE)\",\n \"dataset from an array.\\\"\\\"\\\" if labels is None: dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data),\",\n \"= data[indices] if use_random_transpose: sample_data = np.array([random_transpose(x) for x in sample_data]) if labels\",\n \"Utilities ------------------------------------------------------- def random_transpose(pianoroll): \\\"\\\"\\\"Randomly transpose a pianoroll with [-5, 6] semitones.\\\"\\\"\\\" semitone\",\n \":-semitone, 1:] pianoroll[:, :semitone, 1:] = 0 elif semitone < 0: pianoroll[:, :semitone,\",\n \"Sampler ------------------------------------------------------------------ def get_samples(n_samples, data, labels=None, use_random_transpose=False): \\\"\\\"\\\"Return some random samples of the\",\n \"pianoroll[:, :semitone, 1:] = 0 elif semitone < 0: pianoroll[:, :semitone, 1:] =\",\n \"`lables` do not match.\\\") dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data, labels), [tf.float32, tf.int32]) if\",\n \"as f: data = np.zeros(f['shape'], np.bool_) data[[x for x in f['nonzero']]] = True\",\n \"tf.py_func( random_transpose, [pianoroll], tf.float32), num_parallel_calls=num_threads) dataset = dataset.map(lambda pianoroll: set_pianoroll_shape( pianoroll, data_shape), num_parallel_calls=num_threads)\",\n \"i, item in enumerate(data): if np.issubdtype(data.dtype, np.bool_): yield (item * 2. - 1.,\",\n \"a tensorflow dataset from an array.\\\"\\\"\\\" if labels is None: dataset = tf.data.Dataset.from_generator(\",\n \"use_random_transpose: sample_data = np.array([random_transpose(x) for x in sample_data]) if labels is None: return\",\n \"dataset.map( lambda pianoroll: tf.py_func( random_transpose, [pianoroll], tf.float32), num_parallel_calls=num_threads) dataset = dataset.map(lambda pianoroll: set_pianoroll_shape(\",\n \"and return the training data from a npy file.\\\"\\\"\\\" return np.load(filename) def load_data_from_npz(filename):\",\n \"\\\"\\\"\\\"Set the pianoroll shape and return the pianoroll.\\\"\\\"\\\" pianoroll.set_shape(data_shape) return pianoroll def set_label_shape(label):\",\n \"the pianoroll.\\\"\\\"\\\" pianoroll.set_shape(data_shape) return pianoroll def set_label_shape(label): \\\"\\\"\\\"Set the label shape and return\",\n \"return the pianoroll.\\\"\\\"\\\" pianoroll.set_shape(data_shape) return pianoroll def set_label_shape(label): \\\"\\\"\\\"Set the label shape and\",\n \"import SharedArray as sa return sa.attach(data_filename) if data_source == 'npy': return load_data_from_npy(data_filename) if\",\n \"= logging.getLogger(__name__) # --- Data loader -------------------------------------------------------------- def load_data_from_npy(filename): \\\"\\\"\\\"Load and return the\",\n \"= dataset.map( lambda pianoroll, label: ( tf.py_func(random_transpose, [pianoroll], tf.float32), label), num_parallel_calls=num_threads) dataset =\",\n \"semitone > 0: pianoroll[:, semitone:, 1:] = pianoroll[:, :-semitone, 1:] pianoroll[:, :semitone, 1:]\",\n \"shape and return the label.\\\"\\\"\\\" label.set_shape([1]) return label # --- Sampler ------------------------------------------------------------------ def\",\n \"semitone:, 1:] = pianoroll[:, :-semitone, 1:] pianoroll[:, :semitone, 1:] = 0 elif semitone\",\n \"the training data.\\\"\\\"\\\" if data_source == 'sa': import SharedArray as sa return sa.attach(data_filename)\",\n \"data. \\\"\\\"\\\" import logging import numpy as np import tensorflow.compat.v1 as tf from\",\n \"data from a npy file.\\\"\\\"\\\" return np.load(filename) def load_data_from_npz(filename): \\\"\\\"\\\"Load and return the\",\n \"\\\"\\\"\\\" import logging import numpy as np import tensorflow.compat.v1 as tf from musegan.config\",\n \"------------------------------------------------------------------ def get_samples(n_samples, data, labels=None, use_random_transpose=False): \\\"\\\"\\\"Return some random samples of the training\",\n \"functions for loading and preprocessing pianoroll data. \\\"\\\"\\\" import logging import numpy as\",\n \"- 1. else: sample_data = data[indices] if use_random_transpose: sample_data = np.array([random_transpose(x) for x\",\n \"False) if np.issubdtype(data.dtype, np.bool_): sample_data = data[indices] * 2. - 1. else: sample_data\",\n \"== 'sa': import SharedArray as sa return sa.attach(data_filename) if data_source == 'npy': return\",\n \"pianoroll[:, :-semitone, 1:] pianoroll[:, :semitone, 1:] = 0 elif semitone < 0: pianoroll[:,\",\n \"item in enumerate(data): if np.issubdtype(data.dtype, np.bool_): yield (item * 2. - 1., labels[i])\",\n \"str(data_source)) # --- Dataset Utilities ------------------------------------------------------- def random_transpose(pianoroll): \\\"\\\"\\\"Randomly transpose a pianoroll with\",\n \"\\\"\\\"\\\"Set the label shape and return the label.\\\"\\\"\\\" label.set_shape([1]) return label # ---\",\n \"(sparse format).\\\"\\\"\\\" with np.load(filename) as f: data = np.zeros(f['shape'], np.bool_) data[[x for x\",\n \"import tensorflow.compat.v1 as tf from musegan.config import SHUFFLE_BUFFER_SIZE, PREFETCH_SIZE LOGGER = logging.getLogger(__name__) #\",\n \"data.\\\"\\\"\\\" indices = np.random.choice(len(data), n_samples, False) if np.issubdtype(data.dtype, np.bool_): sample_data = data[indices] *\",\n \"item else: for i, item in enumerate(data): if np.issubdtype(data.dtype, np.bool_): yield (item *\",\n \"num_parallel_calls=num_threads) else: assert len(data) == len(labels), ( \\\"Lengths of `data` and `lables` do\",\n \"and return a tensorflow dataset from an array.\\\"\\\"\\\" if labels is None: dataset\",\n \"format).\\\"\\\"\\\" with np.load(filename) as f: data = np.zeros(f['shape'], np.bool_) data[[x for x in\",\n \"2. - 1. else: sample_data = data[indices] if use_random_transpose: sample_data = np.array([random_transpose(x) for\",\n \"from musegan.config import SHUFFLE_BUFFER_SIZE, PREFETCH_SIZE LOGGER = logging.getLogger(__name__) # --- Data loader --------------------------------------------------------------\",\n \"data.\\\"\\\"\\\" if data_source == 'sa': import SharedArray as sa return sa.attach(data_filename) if data_source\",\n \"1:] = 0 elif semitone < 0: pianoroll[:, :semitone, 1:] = pianoroll[:, -semitone:,\",\n \"labels=None, use_random_transpose=False): \\\"\\\"\\\"Return some random samples of the training data.\\\"\\\"\\\" indices = np.random.choice(len(data),\",\n \"return the training data.\\\"\\\"\\\" if data_source == 'sa': import SharedArray as sa return\",\n \"-semitone:, 1:] pianoroll[:, semitone:, 1:] = 0 return pianoroll def set_pianoroll_shape(pianoroll, data_shape): \\\"\\\"\\\"Set\",\n \"'npy', 'npz'. \\\" \\\"But get \\\" + str(data_source)) # --- Dataset Utilities -------------------------------------------------------\",\n \"\\\"Lengths of `data` and `lables` do not match.\\\") dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data,\",\n \"with [-5, 6] semitones.\\\"\\\"\\\" semitone = np.random.randint(-5, 6) if semitone > 0: pianoroll[:,\",\n \"lambda: _gen_data(data, labels), [tf.float32, tf.int32]) if use_random_transpose: dataset = dataset.map( lambda pianoroll, label:\",\n \"data, labels=None, use_random_transpose=False): \\\"\\\"\\\"Return some random samples of the training data.\\\"\\\"\\\" indices =\",\n \"yield (item, labels[i]) def get_dataset(data, labels=None, batch_size=None, data_shape=None, use_random_transpose=False, num_threads=1): \\\"\\\"\\\"Create and return\",\n \"data[[x for x in f['nonzero']]] = True return data def load_data(data_source, data_filename): \\\"\\\"\\\"Load\",\n \"get_samples(n_samples, data, labels=None, use_random_transpose=False): \\\"\\\"\\\"Return some random samples of the training data.\\\"\\\"\\\" indices\",\n \"[pianoroll], tf.float32), label), num_parallel_calls=num_threads) dataset = dataset.map( lambda pianoroll, label: (set_pianoroll_shape( pianoroll, data_shape),\",\n \"tf.float32), num_parallel_calls=num_threads) dataset = dataset.map(lambda pianoroll: set_pianoroll_shape( pianoroll, data_shape), num_parallel_calls=num_threads) else: assert len(data)\",\n \"load_data_from_npz(data_filename) raise ValueError(\\\"Expect `data_source` to be one of 'sa', 'npy', 'npz'. \\\" \\\"But\",\n \"sample_data return sample_data, labels[indices] # --- Tensorflow Dataset ------------------------------------------------------- def _gen_data(data, labels=None): \\\"\\\"\\\"Data\",\n \"def _gen_data(data, labels=None): \\\"\\\"\\\"Data Generator.\\\"\\\"\\\" if labels is None: for item in data:\",\n \"len(labels), ( \\\"Lengths of `data` and `lables` do not match.\\\") dataset = tf.data.Dataset.from_generator(\",\n \"tf.data.Dataset.from_generator( lambda: _gen_data(data, labels), [tf.float32, tf.int32]) if use_random_transpose: dataset = dataset.map( lambda pianoroll,\",\n \"use_random_transpose: dataset = dataset.map( lambda pianoroll: tf.py_func( random_transpose, [pianoroll], tf.float32), num_parallel_calls=num_threads) dataset =\",\n \"def load_data_from_npz(filename): \\\"\\\"\\\"Load and return the training data from a npz file (sparse\",\n \"pianoroll with [-5, 6] semitones.\\\"\\\"\\\" semitone = np.random.randint(-5, 6) if semitone > 0:\",\n \"def load_data(data_source, data_filename): \\\"\\\"\\\"Load and return the training data.\\\"\\\"\\\" if data_source == 'sa':\",\n \"np.random.choice(len(data), n_samples, False) if np.issubdtype(data.dtype, np.bool_): sample_data = data[indices] * 2. - 1.\",\n \"def random_transpose(pianoroll): \\\"\\\"\\\"Randomly transpose a pianoroll with [-5, 6] semitones.\\\"\\\"\\\" semitone = np.random.randint(-5,\",\n \"to be one of 'sa', 'npy', 'npz'. \\\" \\\"But get \\\" + str(data_source))\",\n \"\\\"\\\"\\\"Create and return a tensorflow dataset from an array.\\\"\\\"\\\" if labels is None:\",\n \"if data_source == 'sa': import SharedArray as sa return sa.attach(data_filename) if data_source ==\",\n \"enumerate(data): if np.issubdtype(data.dtype, np.bool_): yield (item * 2. - 1., labels[i]) else: yield\",\n \"the training data from a npy file.\\\"\\\"\\\" return np.load(filename) def load_data_from_npz(filename): \\\"\\\"\\\"Load and\",\n \"dataset = dataset.map( lambda pianoroll: tf.py_func( random_transpose, [pianoroll], tf.float32), num_parallel_calls=num_threads) dataset = dataset.map(lambda\",\n \"file contains functions for loading and preprocessing pianoroll data. \\\"\\\"\\\" import logging import\",\n \"6) if semitone > 0: pianoroll[:, semitone:, 1:] = pianoroll[:, :-semitone, 1:] pianoroll[:,\",\n \"'sa', 'npy', 'npz'. \\\" \\\"But get \\\" + str(data_source)) # --- Dataset Utilities\",\n \"'sa': import SharedArray as sa return sa.attach(data_filename) if data_source == 'npy': return load_data_from_npy(data_filename)\",\n \"dataset.map( lambda pianoroll, label: ( tf.py_func(random_transpose, [pianoroll], tf.float32), label), num_parallel_calls=num_threads) dataset = dataset.map(\",\n \"else: sample_data = data[indices] if use_random_transpose: sample_data = np.array([random_transpose(x) for x in sample_data])\",\n \"lambda pianoroll: tf.py_func( random_transpose, [pianoroll], tf.float32), num_parallel_calls=num_threads) dataset = dataset.map(lambda pianoroll: set_pianoroll_shape( pianoroll,\",\n \"sample_data]) if labels is None: return sample_data return sample_data, labels[indices] # --- Tensorflow\",\n \"load_data(data_source, data_filename): \\\"\\\"\\\"Load and return the training data.\\\"\\\"\\\" if data_source == 'sa': import\",\n \"dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data), tf.float32) if use_random_transpose: dataset = dataset.map( lambda pianoroll:\",\n \"set_pianoroll_shape( pianoroll, data_shape), num_parallel_calls=num_threads) else: assert len(data) == len(labels), ( \\\"Lengths of `data`\",\n \"num_parallel_calls=num_threads) dataset = dataset.map(lambda pianoroll: set_pianoroll_shape( pianoroll, data_shape), num_parallel_calls=num_threads) else: assert len(data) ==\",\n \":semitone, 1:] = pianoroll[:, -semitone:, 1:] pianoroll[:, semitone:, 1:] = 0 return pianoroll\",\n \"sample_data = data[indices] * 2. - 1. else: sample_data = data[indices] if use_random_transpose:\",\n \"num_threads=1): \\\"\\\"\\\"Create and return a tensorflow dataset from an array.\\\"\\\"\\\" if labels is\",\n \"`data` and `lables` do not match.\\\") dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data, labels), [tf.float32,\",\n \"_gen_data(data, labels), [tf.float32, tf.int32]) if use_random_transpose: dataset = dataset.map( lambda pianoroll, label: (\",\n \"from an array.\\\"\\\"\\\" if labels is None: dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data), tf.float32)\",\n \"is None: dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data), tf.float32) if use_random_transpose: dataset = dataset.map(\",\n \"file.\\\"\\\"\\\" return np.load(filename) def load_data_from_npz(filename): \\\"\\\"\\\"Load and return the training data from a\",\n \"use_random_transpose=False): \\\"\\\"\\\"Return some random samples of the training data.\\\"\\\"\\\" indices = np.random.choice(len(data), n_samples,\",\n \"\\\"\\\"\\\"Return some random samples of the training data.\\\"\\\"\\\" indices = np.random.choice(len(data), n_samples, False)\",\n \"pianoroll, data_shape), num_parallel_calls=num_threads) else: assert len(data) == len(labels), ( \\\"Lengths of `data` and\",\n \"np.random.randint(-5, 6) if semitone > 0: pianoroll[:, semitone:, 1:] = pianoroll[:, :-semitone, 1:]\",\n \"= data[indices] * 2. - 1. else: sample_data = data[indices] if use_random_transpose: sample_data\",\n \"and return the label.\\\"\\\"\\\" label.set_shape([1]) return label # --- Sampler ------------------------------------------------------------------ def get_samples(n_samples,\",\n \"return sample_data, labels[indices] # --- Tensorflow Dataset ------------------------------------------------------- def _gen_data(data, labels=None): \\\"\\\"\\\"Data Generator.\\\"\\\"\\\"\",\n \"yield item else: for i, item in enumerate(data): if np.issubdtype(data.dtype, np.bool_): yield (item\",\n \"None: return sample_data return sample_data, labels[indices] # --- Tensorflow Dataset ------------------------------------------------------- def _gen_data(data,\",\n \"1:] = 0 return pianoroll def set_pianoroll_shape(pianoroll, data_shape): \\\"\\\"\\\"Set the pianoroll shape and\",\n \"is None: for item in data: if np.issubdtype(data.dtype, np.bool_): yield item * 2.\",\n \"tensorflow dataset from an array.\\\"\\\"\\\" if labels is None: dataset = tf.data.Dataset.from_generator( lambda:\",\n \"np.zeros(f['shape'], np.bool_) data[[x for x in f['nonzero']]] = True return data def load_data(data_source,\",\n \"dataset = dataset.map( lambda pianoroll, label: (set_pianoroll_shape( pianoroll, data_shape), set_label_shape(label)), num_parallel_calls=num_threads) dataset =\",\n \"Dataset ------------------------------------------------------- def _gen_data(data, labels=None): \\\"\\\"\\\"Data Generator.\\\"\\\"\\\" if labels is None: for item\",\n \"0: pianoroll[:, semitone:, 1:] = pianoroll[:, :-semitone, 1:] pianoroll[:, :semitone, 1:] = 0\",\n \"== len(labels), ( \\\"Lengths of `data` and `lables` do not match.\\\") dataset =\",\n \"def load_data_from_npy(filename): \\\"\\\"\\\"Load and return the training data from a npy file.\\\"\\\"\\\" return\",\n \"Dataset Utilities ------------------------------------------------------- def random_transpose(pianoroll): \\\"\\\"\\\"Randomly transpose a pianoroll with [-5, 6] semitones.\\\"\\\"\\\"\",\n \"if np.issubdtype(data.dtype, np.bool_): sample_data = data[indices] * 2. - 1. else: sample_data =\",\n \"dataset = dataset.map( lambda pianoroll, label: ( tf.py_func(random_transpose, [pianoroll], tf.float32), label), num_parallel_calls=num_threads) dataset\",\n \"return sa.attach(data_filename) if data_source == 'npy': return load_data_from_npy(data_filename) if data_source == 'npz': return\",\n \"ValueError(\\\"Expect `data_source` to be one of 'sa', 'npy', 'npz'. \\\" \\\"But get \\\"\",\n \"Tensorflow Dataset ------------------------------------------------------- def _gen_data(data, labels=None): \\\"\\\"\\\"Data Generator.\\\"\\\"\\\" if labels is None: for\",\n \"use_random_transpose: dataset = dataset.map( lambda pianoroll, label: ( tf.py_func(random_transpose, [pianoroll], tf.float32), label), num_parallel_calls=num_threads)\",\n \"as sa return sa.attach(data_filename) if data_source == 'npy': return load_data_from_npy(data_filename) if data_source ==\",\n \"as np import tensorflow.compat.v1 as tf from musegan.config import SHUFFLE_BUFFER_SIZE, PREFETCH_SIZE LOGGER =\",\n \"= np.zeros(f['shape'], np.bool_) data[[x for x in f['nonzero']]] = True return data def\",\n \"# --- Sampler ------------------------------------------------------------------ def get_samples(n_samples, data, labels=None, use_random_transpose=False): \\\"\\\"\\\"Return some random samples\",\n \"with np.load(filename) as f: data = np.zeros(f['shape'], np.bool_) data[[x for x in f['nonzero']]]\",\n \"# --- Dataset Utilities ------------------------------------------------------- def random_transpose(pianoroll): \\\"\\\"\\\"Randomly transpose a pianoroll with [-5,\",\n \"raise ValueError(\\\"Expect `data_source` to be one of 'sa', 'npy', 'npz'. \\\" \\\"But get\",\n \"training data.\\\"\\\"\\\" indices = np.random.choice(len(data), n_samples, False) if np.issubdtype(data.dtype, np.bool_): sample_data = data[indices]\",\n \"random_transpose(pianoroll): \\\"\\\"\\\"Randomly transpose a pianoroll with [-5, 6] semitones.\\\"\\\"\\\" semitone = np.random.randint(-5, 6)\",\n \"not match.\\\") dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data, labels), [tf.float32, tf.int32]) if use_random_transpose: dataset\",\n \"be one of 'sa', 'npy', 'npz'. \\\" \\\"But get \\\" + str(data_source)) #\",\n \"= pianoroll[:, -semitone:, 1:] pianoroll[:, semitone:, 1:] = 0 return pianoroll def set_pianoroll_shape(pianoroll,\",\n \"- 1. else: yield item else: for i, item in enumerate(data): if np.issubdtype(data.dtype,\",\n \"return the training data from a npz file (sparse format).\\\"\\\"\\\" with np.load(filename) as\",\n \"data_shape), num_parallel_calls=num_threads) else: assert len(data) == len(labels), ( \\\"Lengths of `data` and `lables`\",\n \"1:] = pianoroll[:, :-semitone, 1:] pianoroll[:, :semitone, 1:] = 0 elif semitone <\",\n \"if labels is None: for item in data: if np.issubdtype(data.dtype, np.bool_): yield item\",\n \"lambda pianoroll, label: ( tf.py_func(random_transpose, [pianoroll], tf.float32), label), num_parallel_calls=num_threads) dataset = dataset.map( lambda\",\n \"LOGGER = logging.getLogger(__name__) # --- Data loader -------------------------------------------------------------- def load_data_from_npy(filename): \\\"\\\"\\\"Load and return\",\n \"'npz'. \\\" \\\"But get \\\" + str(data_source)) # --- Dataset Utilities ------------------------------------------------------- def\",\n \"num_parallel_calls=num_threads) dataset = dataset.map( lambda pianoroll, label: (set_pianoroll_shape( pianoroll, data_shape), set_label_shape(label)), num_parallel_calls=num_threads) dataset\",\n \"data: if np.issubdtype(data.dtype, np.bool_): yield item * 2. - 1. else: yield item\",\n \"if semitone > 0: pianoroll[:, semitone:, 1:] = pianoroll[:, :-semitone, 1:] pianoroll[:, :semitone,\",\n \"return load_data_from_npy(data_filename) if data_source == 'npz': return load_data_from_npz(data_filename) raise ValueError(\\\"Expect `data_source` to be\",\n \"preprocessing pianoroll data. \\\"\\\"\\\" import logging import numpy as np import tensorflow.compat.v1 as\",\n \"labels=None, batch_size=None, data_shape=None, use_random_transpose=False, num_threads=1): \\\"\\\"\\\"Create and return a tensorflow dataset from an\",\n \"( \\\"Lengths of `data` and `lables` do not match.\\\") dataset = tf.data.Dataset.from_generator( lambda:\",\n \"[-5, 6] semitones.\\\"\\\"\\\" semitone = np.random.randint(-5, 6) if semitone > 0: pianoroll[:, semitone:,\",\n \"return label # --- Sampler ------------------------------------------------------------------ def get_samples(n_samples, data, labels=None, use_random_transpose=False): \\\"\\\"\\\"Return some\",\n \"x in f['nonzero']]] = True return data def load_data(data_source, data_filename): \\\"\\\"\\\"Load and return\",\n \"load_data_from_npy(filename): \\\"\\\"\\\"Load and return the training data from a npy file.\\\"\\\"\\\" return np.load(filename)\",\n \"tf.float32) if use_random_transpose: dataset = dataset.map( lambda pianoroll: tf.py_func( random_transpose, [pianoroll], tf.float32), num_parallel_calls=num_threads)\",\n \":semitone, 1:] = 0 elif semitone < 0: pianoroll[:, :semitone, 1:] = pianoroll[:,\",\n \"pianoroll def set_pianoroll_shape(pianoroll, data_shape): \\\"\\\"\\\"Set the pianoroll shape and return the pianoroll.\\\"\\\"\\\" pianoroll.set_shape(data_shape)\",\n \"if labels is None: dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data), tf.float32) if use_random_transpose: dataset\",\n \"pianoroll: set_pianoroll_shape( pianoroll, data_shape), num_parallel_calls=num_threads) else: assert len(data) == len(labels), ( \\\"Lengths of\",\n \"as tf from musegan.config import SHUFFLE_BUFFER_SIZE, PREFETCH_SIZE LOGGER = logging.getLogger(__name__) # --- Data\",\n \"pianoroll[:, semitone:, 1:] = pianoroll[:, :-semitone, 1:] pianoroll[:, :semitone, 1:] = 0 elif\",\n \"musegan.config import SHUFFLE_BUFFER_SIZE, PREFETCH_SIZE LOGGER = logging.getLogger(__name__) # --- Data loader -------------------------------------------------------------- def\",\n \"data_filename): \\\"\\\"\\\"Load and return the training data.\\\"\\\"\\\" if data_source == 'sa': import SharedArray\",\n \"random_transpose, [pianoroll], tf.float32), num_parallel_calls=num_threads) dataset = dataset.map(lambda pianoroll: set_pianoroll_shape( pianoroll, data_shape), num_parallel_calls=num_threads) else:\",\n \"< 0: pianoroll[:, :semitone, 1:] = pianoroll[:, -semitone:, 1:] pianoroll[:, semitone:, 1:] =\",\n \"x in sample_data]) if labels is None: return sample_data return sample_data, labels[indices] #\",\n \"== 'npz': return load_data_from_npz(data_filename) raise ValueError(\\\"Expect `data_source` to be one of 'sa', 'npy',\",\n \"return data def load_data(data_source, data_filename): \\\"\\\"\\\"Load and return the training data.\\\"\\\"\\\" if data_source\",\n \"data = np.zeros(f['shape'], np.bool_) data[[x for x in f['nonzero']]] = True return data\",\n \"pianoroll[:, :semitone, 1:] = pianoroll[:, -semitone:, 1:] pianoroll[:, semitone:, 1:] = 0 return\",\n \"labels[indices] # --- Tensorflow Dataset ------------------------------------------------------- def _gen_data(data, labels=None): \\\"\\\"\\\"Data Generator.\\\"\\\"\\\" if labels\",\n \"if np.issubdtype(data.dtype, np.bool_): yield item * 2. - 1. else: yield item else:\",\n \"np.bool_): yield (item * 2. - 1., labels[i]) else: yield (item, labels[i]) def\",\n \"= dataset.map( lambda pianoroll, label: (set_pianoroll_shape( pianoroll, data_shape), set_label_shape(label)), num_parallel_calls=num_threads) dataset = dataset.shuffle(SHUFFLE_BUFFER_SIZE).repeat().batch(batch_size)\",\n \"and return the training data.\\\"\\\"\\\" if data_source == 'sa': import SharedArray as sa\",\n \"loading and preprocessing pianoroll data. \\\"\\\"\\\" import logging import numpy as np import\",\n \"f['nonzero']]] = True return data def load_data(data_source, data_filename): \\\"\\\"\\\"Load and return the training\",\n \"np.bool_) data[[x for x in f['nonzero']]] = True return data def load_data(data_source, data_filename):\",\n \"= 0 elif semitone < 0: pianoroll[:, :semitone, 1:] = pianoroll[:, -semitone:, 1:]\",\n \"and return the pianoroll.\\\"\\\"\\\" pianoroll.set_shape(data_shape) return pianoroll def set_label_shape(label): \\\"\\\"\\\"Set the label shape\",\n \"label), num_parallel_calls=num_threads) dataset = dataset.map( lambda pianoroll, label: (set_pianoroll_shape( pianoroll, data_shape), set_label_shape(label)), num_parallel_calls=num_threads)\",\n \"label: ( tf.py_func(random_transpose, [pianoroll], tf.float32), label), num_parallel_calls=num_threads) dataset = dataset.map( lambda pianoroll, label:\",\n \"labels is None: return sample_data return sample_data, labels[indices] # --- Tensorflow Dataset -------------------------------------------------------\",\n \"data_shape): \\\"\\\"\\\"Set the pianoroll shape and return the pianoroll.\\\"\\\"\\\" pianoroll.set_shape(data_shape) return pianoroll def\",\n \"else: assert len(data) == len(labels), ( \\\"Lengths of `data` and `lables` do not\",\n \"the training data.\\\"\\\"\\\" indices = np.random.choice(len(data), n_samples, False) if np.issubdtype(data.dtype, np.bool_): sample_data =\",\n \"\\\" + str(data_source)) # --- Dataset Utilities ------------------------------------------------------- def random_transpose(pianoroll): \\\"\\\"\\\"Randomly transpose a\",\n \"------------------------------------------------------- def random_transpose(pianoroll): \\\"\\\"\\\"Randomly transpose a pianoroll with [-5, 6] semitones.\\\"\\\"\\\" semitone =\",\n \"data_source == 'npz': return load_data_from_npz(data_filename) raise ValueError(\\\"Expect `data_source` to be one of 'sa',\",\n \"tf.int32]) if use_random_transpose: dataset = dataset.map( lambda pianoroll, label: ( tf.py_func(random_transpose, [pianoroll], tf.float32),\",\n \"batch_size=None, data_shape=None, use_random_transpose=False, num_threads=1): \\\"\\\"\\\"Create and return a tensorflow dataset from an array.\\\"\\\"\\\"\",\n \"np.load(filename) def load_data_from_npz(filename): \\\"\\\"\\\"Load and return the training data from a npz file\",\n \"1:] pianoroll[:, :semitone, 1:] = 0 elif semitone < 0: pianoroll[:, :semitone, 1:]\",\n \"lambda: _gen_data(data), tf.float32) if use_random_transpose: dataset = dataset.map( lambda pianoroll: tf.py_func( random_transpose, [pianoroll],\",\n \"and `lables` do not match.\\\") dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data, labels), [tf.float32, tf.int32])\",\n \"an array.\\\"\\\"\\\" if labels is None: dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data), tf.float32) if\",\n \"numpy as np import tensorflow.compat.v1 as tf from musegan.config import SHUFFLE_BUFFER_SIZE, PREFETCH_SIZE LOGGER\",\n \"data from a npz file (sparse format).\\\"\\\"\\\" with np.load(filename) as f: data =\",\n \"= np.array([random_transpose(x) for x in sample_data]) if labels is None: return sample_data return\",\n \"# --- Data loader -------------------------------------------------------------- def load_data_from_npy(filename): \\\"\\\"\\\"Load and return the training data\",\n \"and preprocessing pianoroll data. \\\"\\\"\\\" import logging import numpy as np import tensorflow.compat.v1\",\n \"[tf.float32, tf.int32]) if use_random_transpose: dataset = dataset.map( lambda pianoroll, label: ( tf.py_func(random_transpose, [pianoroll],\",\n \"* 2. - 1. else: yield item else: for i, item in enumerate(data):\",\n \"for x in sample_data]) if labels is None: return sample_data return sample_data, labels[indices]\",\n \"return pianoroll def set_label_shape(label): \\\"\\\"\\\"Set the label shape and return the label.\\\"\\\"\\\" label.set_shape([1])\",\n \"_gen_data(data, labels=None): \\\"\\\"\\\"Data Generator.\\\"\\\"\\\" if labels is None: for item in data: if\",\n \"np.array([random_transpose(x) for x in sample_data]) if labels is None: return sample_data return sample_data,\",\n \"for loading and preprocessing pianoroll data. \\\"\\\"\\\" import logging import numpy as np\",\n \"labels is None: dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data), tf.float32) if use_random_transpose: dataset =\",\n \"--- Dataset Utilities ------------------------------------------------------- def random_transpose(pianoroll): \\\"\\\"\\\"Randomly transpose a pianoroll with [-5, 6]\",\n \"-------------------------------------------------------------- def load_data_from_npy(filename): \\\"\\\"\\\"Load and return the training data from a npy file.\\\"\\\"\\\"\",\n \"pianoroll[:, -semitone:, 1:] pianoroll[:, semitone:, 1:] = 0 return pianoroll def set_pianoroll_shape(pianoroll, data_shape):\",\n \"of `data` and `lables` do not match.\\\") dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data, labels),\",\n \"get \\\" + str(data_source)) # --- Dataset Utilities ------------------------------------------------------- def random_transpose(pianoroll): \\\"\\\"\\\"Randomly transpose\",\n \"label # --- Sampler ------------------------------------------------------------------ def get_samples(n_samples, data, labels=None, use_random_transpose=False): \\\"\\\"\\\"Return some random\",\n \"'npy': return load_data_from_npy(data_filename) if data_source == 'npz': return load_data_from_npz(data_filename) raise ValueError(\\\"Expect `data_source` to\",\n \"item in data: if np.issubdtype(data.dtype, np.bool_): yield item * 2. - 1. else:\",\n \"Generator.\\\"\\\"\\\" if labels is None: for item in data: if np.issubdtype(data.dtype, np.bool_): yield\",\n \"def set_label_shape(label): \\\"\\\"\\\"Set the label shape and return the label.\\\"\\\"\\\" label.set_shape([1]) return label\",\n \"data def load_data(data_source, data_filename): \\\"\\\"\\\"Load and return the training data.\\\"\\\"\\\" if data_source ==\",\n \"return a tensorflow dataset from an array.\\\"\\\"\\\" if labels is None: dataset =\",\n \"array.\\\"\\\"\\\" if labels is None: dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data), tf.float32) if use_random_transpose:\",\n \"the training data from a npz file (sparse format).\\\"\\\"\\\" with np.load(filename) as f:\",\n \"= True return data def load_data(data_source, data_filename): \\\"\\\"\\\"Load and return the training data.\\\"\\\"\\\"\",\n \"label.set_shape([1]) return label # --- Sampler ------------------------------------------------------------------ def get_samples(n_samples, data, labels=None, use_random_transpose=False): \\\"\\\"\\\"Return\",\n \"if data_source == 'npy': return load_data_from_npy(data_filename) if data_source == 'npz': return load_data_from_npz(data_filename) raise\",\n \"training data from a npz file (sparse format).\\\"\\\"\\\" with np.load(filename) as f: data\",\n \"training data from a npy file.\\\"\\\"\\\" return np.load(filename) def load_data_from_npz(filename): \\\"\\\"\\\"Load and return\",\n \"sa return sa.attach(data_filename) if data_source == 'npy': return load_data_from_npy(data_filename) if data_source == 'npz':\",\n \"return load_data_from_npz(data_filename) raise ValueError(\\\"Expect `data_source` to be one of 'sa', 'npy', 'npz'. \\\"\",\n \"import logging import numpy as np import tensorflow.compat.v1 as tf from musegan.config import\",\n \"labels), [tf.float32, tf.int32]) if use_random_transpose: dataset = dataset.map( lambda pianoroll, label: ( tf.py_func(random_transpose,\",\n \"if np.issubdtype(data.dtype, np.bool_): yield (item * 2. - 1., labels[i]) else: yield (item,\",\n \"in data: if np.issubdtype(data.dtype, np.bool_): yield item * 2. - 1. else: yield\",\n \"labels[i]) else: yield (item, labels[i]) def get_dataset(data, labels=None, batch_size=None, data_shape=None, use_random_transpose=False, num_threads=1): \\\"\\\"\\\"Create\",\n \"semitone = np.random.randint(-5, 6) if semitone > 0: pianoroll[:, semitone:, 1:] = pianoroll[:,\",\n \"1:] pianoroll[:, semitone:, 1:] = 0 return pianoroll def set_pianoroll_shape(pianoroll, data_shape): \\\"\\\"\\\"Set the\",\n \"and return the training data from a npz file (sparse format).\\\"\\\"\\\" with np.load(filename)\",\n \"np.issubdtype(data.dtype, np.bool_): yield item * 2. - 1. else: yield item else: for\",\n \"data[indices] * 2. - 1. else: sample_data = data[indices] if use_random_transpose: sample_data =\",\n \"+ str(data_source)) # --- Dataset Utilities ------------------------------------------------------- def random_transpose(pianoroll): \\\"\\\"\\\"Randomly transpose a pianoroll\",\n \"sample_data = np.array([random_transpose(x) for x in sample_data]) if labels is None: return sample_data\",\n \"for x in f['nonzero']]] = True return data def load_data(data_source, data_filename): \\\"\\\"\\\"Load and\",\n \"set_pianoroll_shape(pianoroll, data_shape): \\\"\\\"\\\"Set the pianoroll shape and return the pianoroll.\\\"\\\"\\\" pianoroll.set_shape(data_shape) return pianoroll\",\n \"data_shape=None, use_random_transpose=False, num_threads=1): \\\"\\\"\\\"Create and return a tensorflow dataset from an array.\\\"\\\"\\\" if\",\n \"set_label_shape(label): \\\"\\\"\\\"Set the label shape and return the label.\\\"\\\"\\\" label.set_shape([1]) return label #\",\n \"np.bool_): yield item * 2. - 1. else: yield item else: for i,\",\n \"SHUFFLE_BUFFER_SIZE, PREFETCH_SIZE LOGGER = logging.getLogger(__name__) # --- Data loader -------------------------------------------------------------- def load_data_from_npy(filename): \\\"\\\"\\\"Load\",\n \"_gen_data(data), tf.float32) if use_random_transpose: dataset = dataset.map( lambda pianoroll: tf.py_func( random_transpose, [pianoroll], tf.float32),\",\n \"2. - 1., labels[i]) else: yield (item, labels[i]) def get_dataset(data, labels=None, batch_size=None, data_shape=None,\",\n \"in enumerate(data): if np.issubdtype(data.dtype, np.bool_): yield (item * 2. - 1., labels[i]) else:\",\n \"\\\"\\\"\\\"Load and return the training data from a npz file (sparse format).\\\"\\\"\\\" with\",\n \"tensorflow.compat.v1 as tf from musegan.config import SHUFFLE_BUFFER_SIZE, PREFETCH_SIZE LOGGER = logging.getLogger(__name__) # ---\",\n \"= tf.data.Dataset.from_generator( lambda: _gen_data(data), tf.float32) if use_random_transpose: dataset = dataset.map( lambda pianoroll: tf.py_func(\",\n \"len(data) == len(labels), ( \\\"Lengths of `data` and `lables` do not match.\\\") dataset\",\n \"elif semitone < 0: pianoroll[:, :semitone, 1:] = pianoroll[:, -semitone:, 1:] pianoroll[:, semitone:,\",\n \"None: dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data), tf.float32) if use_random_transpose: dataset = dataset.map( lambda\",\n \"in f['nonzero']]] = True return data def load_data(data_source, data_filename): \\\"\\\"\\\"Load and return the\",\n \"\\\"\\\"\\\"Load and return the training data.\\\"\\\"\\\" if data_source == 'sa': import SharedArray as\",\n \"assert len(data) == len(labels), ( \\\"Lengths of `data` and `lables` do not match.\\\")\",\n \"pianoroll, label: ( tf.py_func(random_transpose, [pianoroll], tf.float32), label), num_parallel_calls=num_threads) dataset = dataset.map( lambda pianoroll,\",\n \"1:] = pianoroll[:, -semitone:, 1:] pianoroll[:, semitone:, 1:] = 0 return pianoroll def\",\n \"semitone:, 1:] = 0 return pianoroll def set_pianoroll_shape(pianoroll, data_shape): \\\"\\\"\\\"Set the pianoroll shape\",\n \"return the training data from a npy file.\\\"\\\"\\\" return np.load(filename) def load_data_from_npz(filename): \\\"\\\"\\\"Load\",\n \"tf.py_func(random_transpose, [pianoroll], tf.float32), label), num_parallel_calls=num_threads) dataset = dataset.map( lambda pianoroll, label: (set_pianoroll_shape( pianoroll,\",\n \"pianoroll: tf.py_func( random_transpose, [pianoroll], tf.float32), num_parallel_calls=num_threads) dataset = dataset.map(lambda pianoroll: set_pianoroll_shape( pianoroll, data_shape),\",\n \"if use_random_transpose: sample_data = np.array([random_transpose(x) for x in sample_data]) if labels is None:\",\n \"one of 'sa', 'npy', 'npz'. \\\" \\\"But get \\\" + str(data_source)) # ---\",\n \"a npy file.\\\"\\\"\\\" return np.load(filename) def load_data_from_npz(filename): \\\"\\\"\\\"Load and return the training data\",\n \"from a npy file.\\\"\\\"\\\" return np.load(filename) def load_data_from_npz(filename): \\\"\\\"\\\"Load and return the training\",\n \"sa.attach(data_filename) if data_source == 'npy': return load_data_from_npy(data_filename) if data_source == 'npz': return load_data_from_npz(data_filename)\",\n \"sample_data = data[indices] if use_random_transpose: sample_data = np.array([random_transpose(x) for x in sample_data]) if\",\n \"> 0: pianoroll[:, semitone:, 1:] = pianoroll[:, :-semitone, 1:] pianoroll[:, :semitone, 1:] =\",\n \"= dataset.map( lambda pianoroll: tf.py_func( random_transpose, [pianoroll], tf.float32), num_parallel_calls=num_threads) dataset = dataset.map(lambda pianoroll:\",\n \"labels[i]) def get_dataset(data, labels=None, batch_size=None, data_shape=None, use_random_transpose=False, num_threads=1): \\\"\\\"\\\"Create and return a tensorflow\",\n \"match.\\\") dataset = tf.data.Dataset.from_generator( lambda: _gen_data(data, labels), [tf.float32, tf.int32]) if use_random_transpose: dataset =\",\n \"pianoroll def set_label_shape(label): \\\"\\\"\\\"Set the label shape and return the label.\\\"\\\"\\\" label.set_shape([1]) return\",\n \"--- Tensorflow Dataset ------------------------------------------------------- def _gen_data(data, labels=None): \\\"\\\"\\\"Data Generator.\\\"\\\"\\\" if labels is None:\",\n \"yield (item * 2. - 1., labels[i]) else: yield (item, labels[i]) def get_dataset(data,\",\n \"None: for item in data: if np.issubdtype(data.dtype, np.bool_): yield item * 2. -\",\n \"data_source == 'sa': import SharedArray as sa return sa.attach(data_filename) if data_source == 'npy':\",\n \"the pianoroll shape and return the pianoroll.\\\"\\\"\\\" pianoroll.set_shape(data_shape) return pianoroll def set_label_shape(label): \\\"\\\"\\\"Set\",\n \"dataset.map( lambda pianoroll, label: (set_pianoroll_shape( pianoroll, data_shape), set_label_shape(label)), num_parallel_calls=num_threads) dataset = dataset.shuffle(SHUFFLE_BUFFER_SIZE).repeat().batch(batch_size) return\",\n \"( tf.py_func(random_transpose, [pianoroll], tf.float32), label), num_parallel_calls=num_threads) dataset = dataset.map( lambda pianoroll, label: (set_pianoroll_shape(\",\n \"load_data_from_npz(filename): \\\"\\\"\\\"Load and return the training data from a npz file (sparse format).\\\"\\\"\\\"\",\n \"load_data_from_npy(data_filename) if data_source == 'npz': return load_data_from_npz(data_filename) raise ValueError(\\\"Expect `data_source` to be one\",\n \"np.bool_): sample_data = data[indices] * 2. - 1. else: sample_data = data[indices] if\",\n \"pianoroll.\\\"\\\"\\\" pianoroll.set_shape(data_shape) return pianoroll def set_label_shape(label): \\\"\\\"\\\"Set the label shape and return the\",\n \"0 elif semitone < 0: pianoroll[:, :semitone, 1:] = pianoroll[:, -semitone:, 1:] pianoroll[:,\",\n \"return the label.\\\"\\\"\\\" label.set_shape([1]) return label # --- Sampler ------------------------------------------------------------------ def get_samples(n_samples, data,\",\n \"npz file (sparse format).\\\"\\\"\\\" with np.load(filename) as f: data = np.zeros(f['shape'], np.bool_) data[[x\",\n \"import SHUFFLE_BUFFER_SIZE, PREFETCH_SIZE LOGGER = logging.getLogger(__name__) # --- Data loader -------------------------------------------------------------- def load_data_from_npy(filename):\"\n]","isConversational":false}}},{"rowIdx":1299,"cells":{"ngram":{"kind":"list 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ngram listlengths 0 67.8k |
|---|
[
"from scripts.helpful_scripts import get_account def fund(): fund_me = FundMe[-1] account = get_account() entrance_fee",
"= FundMe[-1] account = get_account() fund_me.withdraw({\"from\": account}) def main(): fund() withdraw() if __name__",
"fund_me.fund({\"from\": account, \"value\": entrance_fee}) def withdra... |
[
"quatro alunos para apagar o quadro. Faça um programa que ajude ele, lendo",
"mais um nome: ') nome4 = input('Digite o último nome: ') nome =",
"ele, lendo o nome dos alunos e escrevendo na tela o nome do",
"um nome: ') nome4 = input('Digite o último nome: ') nome = [nome1,",
"quadro. Faça um programa que a... |
[
"django.contrib import admin from .models import Categoria, Contact class ContactAdmin(admin.ModelAdmin): list_display = ('id',",
".models import Categoria, Contact class ContactAdmin(admin.ModelAdmin): list_display = ('id', 'name', 'last_name', 'phone', 'email',",
"<filename>contacts/admin.py from django.contr... |
[
"_root_folders_set = ( '/path/to/folder', ) _spoiler_for_each_file = True def process_one_pic(result_key, pic_path, tmp_dir): pic_url,",
"file.split('.')[-1] not in ('jpg', 'jpeg', 'bmp', 'png'): continue file_path = os.path.join(root, file) pics_to_upload[file]",
"def main(): for root_folder in _root_folders_s... |
[
"import numpy as np from .postprocessor import PostprocessorWithSpecificTargets from ..representation import BrainTumorSegmentationAnnotation, BrainTumorSegmentationPrediction",
"= self.get_value_from_config('min_value') self.max_value = self.get_value_from_config('max_value') if self.max_value < self.min_value: ... |
[
"# # Licensed under the Apache License, Version 2.0 (the \"License\"); # you",
"writing, software # distributed under the License is distributed on an \"AS IS\"",
"KIND, either express or implied. # See the License for the specific language",
"Unless required by applicable law or agreed to in writing, softwar... |
[] |
[
"True if index == len(word) - 1: if not correct: print(\"Incorrect guess\") print()",
"True count = 0 for letter in output: if letter != \"_\": count",
"- 1)] playing = True tries = 5 return [words, output, word, tries,",
"(EOFError, KeyboardInterrupt): print() break except ValueError: print(\"Invalid guess\"... |
[
"elasticsearch.helpers import bulk # create ES client, create index es = Elasticsearch(hosts =",
"(res)) request_body = { \"settings\" : { \"number_of_shards\": 1, \"number_of_replicas\": 0 } }",
"def corpus_iterator(): # filter out and collect text files for file_path in glob.glob(txts_path+'*_text.txt'):",
... |
[
"or some other piece of info \"\"\" class Token(object): def __init__(self, name, table):",
"position, a game state, layer state, or some other piece of info \"\"\"",
"represents a position, a game state, layer state, or some other piece of",
"state, or some other piece of info \"\"\" class Token(object): def... |
[] |
[
"<= index_of_last_element: mid_point = nearest_mid( ordered_list, index_of_first_element, index_of_last_element, term ) if mid_point >",
"return mid_point if term > ordered_list[mid_point]: index_of_first_element = mid_point + 1 else: index_of_last_element",
"ordered_list, index_of_first_element, index_of_last_... |
[
"models.DateTimeField(auto_now_add=True) project_description = models.CharField(max_length=255) project_level = models.IntegerField(default=0) objects = ProjectQuerySet.as_manager() def __str__(self): return",
"= models.DateTimeField(auto_now_add=True) project_description = models.CharField(max_length=255) projec... |
[
"\"/example_AdminPolicyDocument\" report = runner.run(root_folder=test_files_dir, runner_filter=RunnerFilter(checks=[check.id])) summary = report.get_summary() self.assertEqual(summary['passed'], 2, f\"Passed checks: {[fc.file_path",
"= current_dir + \"/example_AdminPolicyDocument\" report = runner.run(root_folde... |
[
"elif opt == \"--unicode-rtlo\": mpSession.unicodeRtlo = arg elif opt in (\"-G\", \"--generate\"): mpSession.outputFilePath",
"import init from termcolor import colored # {PyArmor Protection Code} # {PyArmor Plugins}",
"common.utils import MSTypes from common.definitions import VERSION, LOGLEVEL if sys.platform... |
[
"os MODELS_PATH = os.path.join(os.path.dirname(__file__), \"models\") YOLO_SIZE = 288 YOLO_TARGET = 9 CORRECTOR_SIZE =",
"MODELS_PATH = os.path.join(os.path.dirname(__file__), \"models\") YOLO_SIZE = 288 YOLO_TARGET = 9 CORRECTOR_SIZE = 50",
"import os MODELS_PATH = os.path.join(os.path.dirname(__file__), \"mod... |
[
"in ' + bulk_dir) sources = config['sources'] for (source_name, source) in sources.items(): source_bulk_dir",
"{} Elasticsearch documents.\\n\" \"=> Check the logs ({}) for more details.\" .format(source_name, log_file))",
"logger) index_by_document[document_type] = base_index_name, index_name logger.info(\"Bul... |
[
"`_as_mpl_axes` : Return the result of calling cartopy's ``_as_mpl_axes`` for `self.load` called with",
"latitude.\"\"\" filter_ = {'central_latitude'} PlateCarree,\\ LambertCylindrical,\\ Mercator,\\ Miller,\\ Mollweide,\\ Robinson,\\ Sinusoidal,\\ InterruptedGoodeHomolosine,\\ Geostationary,\\",
"Returns ----... |
[
"def handle_request(self, **kwargs): kwargs.update({'provider': 'att'}) return super(ATTStoresHandler, self).handle_request(**kwargs) def get_url(self, **kwargs): lat =",
"'att'}) return super(ATTStoresHandler, self).handle_request(**kwargs) def get_url(self, **kwargs): lat = float(kwargs.get('lat')) lon = float(... |
[
"ano de nascimento de 7 pessoas e mostre quantas ja atingiram a maioridade",
"a maioridade e quantas ainda não for c in range(1,8): p=int(input('Qual o ano",
"ja atingiram a maioridade e quantas ainda não for c in range(1,8): p=int(input('Qual",
"numero {} já é maior de idade'.format(c)) else: print('A pessoa... |
[
"\"\"\" def SDE(front, values1, values2): shifted_dict = {} for i in front: shifted_dict[i]",
"python3 # -*- coding: utf-8 -*- \"\"\" Provide function to calculate SDE distance",
"<NAME> @date: 2021/05/05 \"\"\" def SDE(front, values1, values2): shifted_dict = {} for i",
"SDE distance @auth: <NAME> @date: 202... |
[
"import * from airtest.cli.parser import cli_setup # from douyin import * if not",
"-*- __author__ = \"pscly\" from airtest.core.api import * from airtest.cli.parser import cli_setup #",
"sleep(5) swipe((484, 1711),(531,709)) print(\"-=-=-=-=-=-=-=-=-=-=-=--=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=--=-=-=-=-=-=-=... |
[
"sleep 2\"'.format(in_log) c = client.create_container(image=TEST_IMAGE_UUID, command=cmd) c = client.wait_success(c) logs = c.logs() return",
"logs, in_log, c def test_logs_token(client): logs, in_log, c = get_logs(client) conn = ws.create_connection(logs.url",
"= ws.create_connection(logs.url + '?token='+logs... |
[
"-1) out = self.linear(out) return out def PsgSeedResNet20( num_classes=10, init_method='standard', predictive_backward=True, msb_bits=4, msb_bits_weight=4,",
"MSB_BITS_WEIGHT, MSB_BITS_GRAD, THRESHOLD, SPARSIFY, SIGN PREDICTIVE_BACKWARD = predictive_backward MSB_BITS = msb_bits MSB_BITS_WEIGHT =",
"self.bn1 = ... |
[
"import Row from snorkel.labeling.lf import labeling_function from snorkel.labeling.lf.nlp_spark import spark_nlp_labeling_function from snorkel.preprocess import",
"def article_mentions_person(x): for ent in x.doc.ents: if ent.label_ == \"PERSON\": return ABSTAIN return",
"ent.text.lower() in celebrity_knowled... |
[
"return is 2*cos(pi*(u+1)/(2N)), 2*sin(pi*(u+1)/(2N)) \"\"\" neg_pik_by_2N = torch.arange(1, N+1, dtype=dtype, device=device) neg_pik_by_2N.mul_(np.pi/(2*N)) #",
"idct_N(x, expk=None): N = x.size(-1) if expk is None: expk = get_expk(N, dtype=x.dtype,",
"x.size(-1) if expk is None: expk = get_expk(N, dtype=x.dty... |
[
"for (rowCount, colCount, hex_key, timeoutSecs, distribution) in tryList: NUM_CASES = h2o_util.fp_format() for sel",
"automatically\" parseResult = h2i.import_parse(path=csvPathname, schema='put', hex_key=selKey2, timeoutSecs=timeoutSecs, doSummary=False, parser_type='SVMLight') print csvFilename, 'parse time:',"... |
[
"\"\"\" for enum in Datatype: if(enum is Datatype.TIMESTAMP): continue if(isinstance(value, enum.value)): return enum",
"-> Table: \"\"\"Aquire a instance of a predefined table, returns a empty table",
"ValueError(\"need retention policy duration for creation\") if(not replication): raise ValueError(\"need rete... |
[
"permission. \"\"\" from sleekxmpp.plugins.xep_0009.remote import Endpoint, remote, Remote, \\ ANY_ALL import threading class",
"LICENSE for copying permission. \"\"\" from sleekxmpp.plugins.xep_0009.remote import Endpoint, remote, Remote, \\ ANY_ALL",
"@remote def get_temperature(self): return self._temperatur... |
[
"int(result) def get_speed(self): \"\"\" return: int, [10, 100] \"\"\" return self.get('speed?') def get_battery(self):",
"{} self.lock = threading.RLock() def recv(self, data): with self.lock: self.response = {item.split(':')[0]:float(item.split(':')[1]) for",
"import cv2 import time import socket import threa... |
[
"e.g. # # >>> import terrascript.resource.sematext # # instead of # # >>>",
"This is only available for 'official' and 'partner' providers. from terrascript.resource.sematext.sematext import *",
"# instead of # # >>> import terrascript.resource.sematext.sematext # # This is only",
"import terrascript.resource... |
[
"time, csv import tqdm import umap import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt",
"0 self.model.summary() def eval(self): self.data = net.FontData() print(\"Plot: \", self.init_epoch + 1) acc",
"pbar.update(1) acc = correct_count / (correct_count + failed_count) txt.write('===========... |
[
"graph_parser.get_all_nodes(dag_description_) container_info = [] proxy_info = [] backup_info = [] count = 1",
"b and b['stream'] != '\\n': #log build steps only self.logger.info(b['stream'].rstrip()) self.logger.info(\"Pushing model Docker",
"includes the query and management frontend Docker containers and all... |
[
"range(self.n): if temp[i][j]==1: temp[j][i]=1 elif temp[j][i]==1: temp[i][j]=1 for i in range(self.n-1): if i==0:",
"connected self.loop = loop self.trim = trim if directed==True and connected=='weak' and loop==False:#弱连通有向无环",
"= (i, j) self.edges.append(e) \"\"\"检查图的弱连通性\"\"\" def CheckWeakConnectivity(self)... |
[
"<filename>csv2googlesheets/to_google_sheets.py \"\"\"This module provides a console interface to convert CSV to Google Sheets.\"\"\"",
"import build_spreadsheet_title from csv2googlesheets.parse_file import parse_file from csv2googlesheets.parse_cli_args import parse_cli_args def main(): \"\"\"Control",
"main(... |
[
"import get_model from netforce import migration from netforce import database class Migration(migration.Migration): _name=\"account.credit_remain_cur\"",
"_version=\"2.5.0\" def migrate(self): db=database.get_connection() db.execute(\"UPDATE account_invoice SET amount_credit_remain_cur=amount_credit_remain WHERE... |
[
"'aix-%s.%s' % (platform.version(), platform.release()) if os_name != 'linux': return process_capabilities.os_name # We delay",
"pool. if reactor.threadpool: if ( reactor.threadpool.working or (reactor.threadpool.q.qsize() > 0) ): time.sleep(0.01) have_callbacks",
"found no result instead\" % ( deferred,)) elif... |
[
"class Snowflake: def __init__(self, init_serial_no=0): self.machine_id = 0 self.epoch = 0 self.serial_no =",
"init_serial_no=0): self.machine_id = 0 self.epoch = 0 self.serial_no = init_serial_no def generate(self): unique_id",
"* 1000) - self.epoch) & 0x1FFFFFFFFFF) << 22 | (self.machine_id & 0x3FF) <<",
"=... |
[] |
[
"model for 60 epochs for epoch in range(1, 60): print(f'Epoch: {epoch}') model.fit(x, y,",
"sys.stdout.write(generated_text) # Generates 400 characters, starting from the seed text for i in",
"np.argmax(probas) # Text-generation loop import sys import random # Trains the model for",
"for i in range(400): samp... |
[
"from pyanom.structure_learning import GraphicalLasso return GraphicalLasso def _makeOne(self, *args, **kwargs): return self._getTarget()(*args, **kwargs)",
"-0.572139833, 0.858932219], [-1.125947228, -1.049026454, 0.35980022], [0.653070988, -0.052417831, 0.787284547], [-1.059131881, 1.621161051, -1.295306533], [... |
[
"sine_node = Node(id=\"sine_node\") sine_node.parameters.append(Parameter(id=\"amp\", value=3)) sine_node.parameters.append(Parameter(id=\"period\", value=0.4)) s1 = Parameter( id=\"level\", default_initial_value=0, time_derivative=\"6.283185",
"= Parameter( id=\"rate\", default_initial_value=1, time_derivative=\... |
[
"= g.V().limit(1000) message = RequestMessage('traversal', 'bytecode', {'gremlin': t.bytecode, 'aliases': {'g': 'g'}}) result_set =",
"for result in result_set: results += result assert len(results) == 1 t =",
"len(results) == 6 assert isinstance(results, list) assert results_set.done.done() assert 'host' in re... |
[
"from ..load.download import _ERASESTR def xmatch(cat1,cat2,maxdist=2, colRA1='RA',colDec1='DEC',epoch1=None, colRA2='RA',colDec2='DEC',epoch2=None, colpmRA2='pmra',colpmDec2='pmdec', swap=False, col_field=None): \"\"\" NAME:",
"return (m2,m1,d2d[mindx]) else: return (m1,m2,d2d[mindx]) def cds(cat,xcat='vizier:I/... |
[
"* q_tp1_best_one_hot_selection, 1) q_probs_tp1_best = torch.sum( q_probs_tp1 * torch.unsqueeze(q_tp1_best_one_hot_selection, -1), 1) else: q_tp1_best_one_hot_selection",
"ray.rllib.utils.framework import try_import_torch from ray.rllib.utils.torch_ops import (FLOAT_MIN, huber_loss, reduce_mean_ignore_inf, softma... |
[] |
[
"= 4.0 return sum / argumente print(keskmine(1, 2)) # Ilmselgelt vale tulemus (1.5",
"lubab muutuja otse stringi sisse panna else: print(f\"{n} EI OLE algarv\") def list_primes(max_num",
"jagatava teha float tüübiks print(numsum(1)) print(numsum(1, 2)) print(numsum(1, 2, 3)) print(numsum(1, 2, 3,",
"num4) arg... |
[
"comment reads that the # command \"echo \"hello\"\" was run. This ensures that",
"of run_watch ''' def setUp(self): self.state_name = 'run_watch' state_filename = self.state_name + '.sls'",
"the integration test file state tree. pass super(CMDRunRedirectTest, self).tearDown() def test_run_unless(self): ''' tes... |
[
"# # Licensed under the Apache License, Version 2.0 (the \"License\"); # you",
"writing, software # distributed under the License is distributed on an \"AS IS\"",
"...lib.sparse import SparseNDArray from ...lib.sparse.core import sps from ..expressions import datastore from .utils",
"SparseNDArray from ...lib... |
[
"zip(layer_sizes[:-1], layer_sizes[1:])]) self.output_layer = Linear(hidden_sizes[-1], output_size, bias=True) self.act = activation[act_func] self.train_alg=train_alg # list",
"x): x = x.view(-1, self.input_size) out = x for layer in self.linears: out",
"layers - output_size: an integer, the length of output v... |
[
"accumulate(add, 11, 0, identity) # 11 11 >>> accumulate(add, 11, 3, square) #",
"Church numerals m and n. >>> church_to_int(add_church(two, three)) 5 \"\"\" \"*** YOUR CODE",
">>> church_to_int(two) 2 >>> church_to_int(three) 3 \"\"\" \"*** YOUR CODE HERE ***\" return",
"function zero times! 5 \"\"\" \"*** Y... |
[
"pair\"\"\" ciphertext_name = str(uuid.uuid4()) ciphertext_uri = ciphertext_writer(ciphertext_name, ciphertext_to_decrypt) return ( ciphertext_name, MessageDecryptionTestScenario( ciphertext_uri=ciphertext_uri,",
"MessageEncryptionTestScenario from awses_test_vectors.manifests.keys import KeysManifest try: from a... |
[
"class TestStartStopFeature(WatchdogAcceptanceTest): def test_willStartObserverWhenWatchdogStarted(self): self.create_and_start_watchdog() self.assertTrue(self.fs_observer.running) def test_willStopObserverWhenWatchdogStopped(self): self.create_and_start_watchdog() self.watchdog.stop() self.assertFalse(self.fs_obse... |
[
"test for all transforms.\"\"\" def assert_tensor_is_good(self, tensor, shape=None): self.assertIsInstance(tensor, torch.Tensor) self.assertFalse(torch.isnan(tensor).any()) self.assertFalse(torch.isinf(tensor).any()) if",
"self.assertEqual(logabsdet, torch.zeros(inputs.shape[:1])) def assertNotEqual(self, first, ... |
[
"https://portswigger.net/web-security/file-path-traversal/lab-validate-file-extension-null-byte-bypass \"\"\" import sys import requests site = sys.argv[1] if 'https://' in site:",
"if 'https://' in site: site = site.rstrip('/').lstrip('https://') url = f'''https://{site}/image?filename=../../../etc/passwd%00.png... |
[
"args.resume: resume_step, ckpt_file = resume(save_path) # initial the EUG algorithm eug = EUG(batch_size=args.batch_size,",
"open(osp.join(save_path, 'dataf.txt'), 'a') # 保存性能数据. #特征空间中的性能问题. data_file = open(osp.join(save_path, 'data.txt'), 'a') # 保存性能数据.",
"import DistributedDataParallel as DDP from torch.ut... |
[
"distributed on an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY",
"# Copyright (C) 2019 by eHealth Africa : http://www.eHealthAfrica.org # # See the",
"# See the NOTICE file distributed with this work for additional information #",
"@pytest.mark.unit def test__get_es_index_from_autoconfig(Subscr... |
[] |
[
"= ('p', 'r', 'o', 'g', 'r', 'a', 'm', 'i', 'z') # Output: ('p',",
"= [1, 3, 5] odd.append(7) print(odd) odd.extend([9, 11, 13]) print(odd) # In[13]: #",
"and function # In[18]: y_dict = {} # dictionary with integer keys my_dict",
"lines String_var = \"\"\" This document will help you to explore all the",
"... |
[
"pickingNumbers(a): # Write your code here max = 0 for i in a:",
"Write your code here max = 0 for i in a: c =",
"for i in a: c = a.count(i) d = a.count(i-1) e = c+d",
"d = a.count(i-1) e = c+d if e>max: max = e return max",
"0 for i in a: c = a.count(i) d = a.count(i-1) e =",
"= a.count(i) d = a.count(i-... |
[
"= self.api.auth(20, self.credit_card, self.address) self.assertEqual(urlopen.call_args[0][0], TEST_URL) self.assertTrue(urlopen.call_args[1]['data'], ( 'x_login=123&x_zip=90291&x_card_num=4111111111111111&' 'x_amount=20.00&x_tran_key=456&x_city=Venice&x_country=US&' 'x_version=3.1&x_state=CA&x_delim_char=%3B&' 'x_... |
[
"\"inspections_summary\" : { \"date\": JST_current_time, \"data\": inspections_summary_list }, \"main_summary_history\": { \"date\": JST_current_time, \"data\":",
"# 日付の昇順に並び替え # main_summary_history.csvをPandasのDataframeに変換 main_summary_history_df = pd.read_csv('data/main_summary_history.csv', keep_default_na=Fal... |
[
"neg_ind, -1] = 1 return pos_indicator, matched_targets def matching_strategy_quads(targets, dboxes, **kwargs): \"\"\" :param",
"4:] # overlaps' shape = (object num, default box num) overlaps = iou(centroids2corners(targets_loc),",
"matched_targets: Tensor, shape = (batch, default box num, 4+class_num) includin... |
[
"'CAR02': { 'x': 1383, 'y': 825, 'w': 80, 'h': 59 }, 'CAR04': {",
"0.0) if curve == 0.0: if cv_s: tht_d = self.cv_to_engl(cv_l, rad) #tht +=",
"for i, info in enumerate(sprts): sprt = info['name'] obj_k = str(seg['index']) + '_'",
"render road sprites # TODO: check if this seg is looped seg_scale =",
"self.... |
[
"Interface: FastEthernet1, Port ID (outgoing port): FastEthernet0/14 Holdtime : 145 sec Version :",
"IGMP Interface: FastEthernet1, Port ID (outgoing port): FastEthernet0/15 Holdtime : 145 sec Version",
"I 881 Fas 1 R3 Fas 0/13 129 R S I 881 Fas",
"- Source Route Bridge S - Switch, H - Host, I - IGMP,",
"(c... |
[
"with respect to x[j]. Parameters ---------- fun : callable Function of which to",
"as np from numpy.linalg import norm from scipy.sparse.linalg import LinearOperator from ..sparse import",
"to estimate the derivatives. Float will be converted to a 1-D array. method",
"single array or a sparse matrix is inter... |
[
"[x for x in raw_checkpoint_paths if '.ckpt' in x] assert raw_checkpoint_paths raw_checkpoint_path =",
"Unless required by applicable law or agreed to in writing, software # distributed",
"constructor \"\"\" # model = cls(config) # # # no matter how you",
"import cloudpickle import pytest import torch from fs... |
[
"shift_fn(R_scaled, dR), general_shift_fn(R, dR) * box_size) assert shift_fn(R_scaled, dR).dtype == dtype @parameterized.named_parameters(jtu.cases_from_list( {",
"j, k], dtype=R.dtype) dr_shifted = space.distance(dR_shifted) dr_shifted = jnp.reshape(dr_shifted, dr_shifted.shape + (1,)) dR_direct",
"Unless requ... |
[
"import boto3 batch_client = boto3.client('batch') def lambda_handler(event, context): describe_response = batch_client.describe_jobs( jobs=[ event.get('jobId',",
"boto3 batch_client = boto3.client('batch') def lambda_handler(event, context): describe_response = batch_client.describe_jobs( jobs=[ event.get('jobId... |
[
"from werkzeug import check_password_hash, generate_password_hash from app import db, login_manager, pubnub, app, _callback",
": request.form['username']}) if existing_user: error = 'Username already exists' else: new_user = {'username'",
"unauthorized_callback(): return redirect('/login') @login_manager.user_l... |
[
"1.10.6 on 2017-04-06 06:02 from __future__ import unicode_literals from django.db import migrations, models",
"), migrations.AlterField( model_name='article', name='project', field=models.TextField(editable=False), ), migrations.AlterField( model_name='article', name='source', field=models.TextField(blank=True, ... |
[
"import unittest from coinplus_solo_redeem.common import wif_export_bitcoin, compute_public_key_sec256k1, address_from_publickey_ethereum class TestEthereum(unittest.TestCase): \"\"\"test of the",
"(\"<KEY>\", \"<KEY>\"), (\"037049004c5ad576beb518dcc74506df3faf520109a489886b7d1435a63b9b0b88\", \"0x0af4DbEf58063AE... |
[
"my_dict = {\"bobby1\": 22, \"bobby2\": 23, \"imooc.com\": 5} reversed_dict = {value:key for key,",
"odd_list = [handle_item(i) for i in range(21) if i % 2 == 1]",
"odd_list.append(i) # odd_list = [i for i in range(21) if i % 2",
"# if i % 2 == 1: # odd_list.append(i) # odd_list = [i",
"reversed_dict = {val... |
[
"*priority* parameter. .. versionchanged:: 1.5.0 Renamed *priority* to *stream_types* and changed behaviour slightly.",
"more than 2 alt streams if num_alts >= 2: continue elif num_alts >",
"-= ALT_WEIGHT_MOD * int(match.group(7)) else: weight -= ALT_WEIGHT_MOD name_type = match.group(2) if name_type",
"param... |
[
"basedir os.environ[config.ENV_URL] = connect_url # Make sure to reset the database. yield CliRunner()",
"free software; you can redistribute it and/or modify it under the # terms",
"import os import pytest from click.testing import CliRunner from refdata.db import DB import",
"= os.path.abspath(str(tmpdir)) ... |
[
"= grid_cell[ :, jitter[1, i, j] : jitter[1, i, j] + patch_size, jitter[0,",
"or numpy array. This transform was proposed in Jigsaw - https://arxiv.org/abs/1603.09246 Args: num_patches",
"cropped properly\" # copy patch data so that all patches are different in",
"properly\" # copy patch data so that all patc... |
[
"host\" ) docker_task( \"jittor/jittor\", \"sudo docker build --tag jittor/jittor:latest . --network host\" )",
"# This file is subject to the terms and conditions defined in #",
"(c) 2022 Jittor. All Rights Reserved. # Maintainers: # <NAME> <<EMAIL>>. # #",
"docker build --tag jittor/jittor:latest . --networ... |
[
"my_parser.add_argument('--log-level') args = my_parser.parse_args() CliArgs.BankName = args.bank_name CliArgs.InputFilepath = args.input_filepath CliArgs.LogLevel = args.log_level",
"my_parser.add_argument('--input-filepath') my_parser.add_argument('--log-level') args = my_parser.parse_args() CliArgs.BankName = ... |
[
":: OSI Approved :: Apache Software License\", \"Programming Language :: Python :: 3.7\",",
"3.8\", \"Topic :: Scientific/Engineering\", \"Topic :: Scientific/Engineering :: Artificial Intelligence\", \"Topic :: Software",
"plugin_requires = [ \"flytekit>=0.16.0b0,<1.0.0\", \"flytekitplugins-spark>=0.16.0b0,<1.... |
[
"input): size += 2 s_size = size * size bottom_right = s_size bottom_left",
"> bottom_left): input_x = size - 1 input_y = input - bottom_left elif",
"- 3 * size + 3 input_x = -1 input_y = -1 #",
"(input > top_left): input_y = input - top_left input_x = 0 elif (input",
"input - bottom_left elif (input > top_... |
[
"display(self, prefix): res = prefix + self.name + \"\\n\" if hasattr(self.underlying_tree, \"children\"): for",
"return self.underlying_tree(*x) * self.weight + self.bias def __len__(self): return len(self.underlying_tree) def display(self, prefix):",
"tree in ind.trees] ) @staticmethod def from_pickled_indivi... |
[
"'next' in request.args: next = request.args['next'] form = LoginForm(request.form) # make sure data",
"email or password', 'danger') return render_template(\"login.html\", form=form, next=next) @mod.route('/logout/', methods=['GET', 'POST']) @requires_login def",
"session can't be modified as it's signed, # it... |
[
"sr.Recognizer() with sr.Microphone() as source: print(\"Listening...\") r.pause_threshold = 1.5 # It will wait",
"Edition 2021\" os.startfile(pycharmpath) #elif \"open command\" in query: # filelocation = \"path of",
"sentence speak(\"According to wikipedia\") #print(results) speak(results) elif 'open youtube'... |
[
"for initialize_self_service_recovery_flow_for_browsers Initialize Recovery Flow for Browsers # noqa: E501 \"\"\" pass def",
"test_initialize_self_service_recovery_flow_without_browser(self): \"\"\"Test case for initialize_self_service_recovery_flow_without_browser Initialize Recovery Flow for APIs, Services, App... |
[
"GrandExchange, GameItemNotFound, GameItemParseError from .item import Item from .priceinfo import PriceInfo from .pricetrend",
"GameItemNotFound, GameItemParseError from .item import Item from .priceinfo import PriceInfo from .pricetrend import",
"GameItemParseError from .item import Item from .priceinfo impor... |
[
"loading and pre-processing :return: (xtrain, ytrain), (xtest, ytest) ''' print('**** Read data into",
"os import numpy as np import cv2 from utils import constants as const",
"to metadata path = const.PATH metadata_csv_path = os.path.join(path, const.FILE_METADATA) test_img_dir_path = os.path.join(path, const.... |
[
"file\") else: lex = Lexer(sys.argv[1]) with open(sys.argv[1]) as f: while True: c =",
"else: lex = Lexer(sys.argv[1]) with open(sys.argv[1]) as f: while True: c = f.read(1)",
"main.py file\") else: lex = Lexer(sys.argv[1]) with open(sys.argv[1]) as f: while True: c",
"import * import sys if len(sys.argv) != ... |
[
"email='<EMAIL>', password='<PASSWORD>' ) url = reverse('web_dep_table') request = self.client.login(username=\"test_username\", password=\"<PASSWORD>\") # Exercise test",
"'topic_id': self.topic.id})) request.user = self.user # Exercise test outsider_topic = Topic.objects.create(name='ms', desc=\"test test",
"... |
[
"Nepoch = 1 #Nbatch = 250 Nsamples = 512 TrainingImage = \"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\" LocModel",
"but running end-to-end. Any comments and further improvements are well recevied to: <EMAIL>",
"= \"TI_Collaboration_1of4_50x50x50_newRepresentation.dat\" LocModel = 'Models/3D_NewReprese... |
[
"_attributes_from_request(request: HttpRequest) -> Dict: if not request: return dict() attributes = dict() try:",
"attributes except Exception: logger.exception( \"Unexpected exception while trying to parse http-request for feature-attributes.\"",
"\"Unexpected exception while trying to parse http-request for f... |
[] |
[
"black | +------+---------+ 3. Number between 0 and 1 that represents the level",
"same length as `vlines_x`. If None will take from the color pallette in",
"the color pallette in the current plot style. vlines_linestyles: [optional, defaults to None]",
"for bar plots. drawstyle : str [optional, default is 'd... |
[
"range(self.mp_steps): hiddens = self.step(edge_index=edge_index, sections=sections, **hiddens) if not output_all_steps and (step + 1)",
"a message passing step by propagating information and updating each element \"\"\" for",
"!= self.mp_steps: continue for element, readout_fn in self.readout_fns.items(): outp... |
[
"self.relu1(output_1) output_2 = self.gcn_2(output_1_relu, adj) output_2_res = output_2 + input output = self.relu2(output_2_res)",
"adj) output_1_relu = self.relu1(output_1) output_2 = self.gcn_2(output_1_relu, adj) output_2_res = output_2 + input",
"self.relu2 = nn.ReLU() self.name = name def forward(self, in... |
[
"self._chunks_moved_to = None self._chunk_splits = None # Track previous file position for loop",
"= line.decode(\"utf-8\", \"replace\") if self.binary == \"mongos\": if \"Starting new replica set monitor",
"None self._binary = None self._timezone = None self._hostname = None self._port = None",
"= match.grou... |
[
"= pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #scene.addItem(rect) #rect.setPos(20,20) #rect.translate(50, 50) #rect.rotate(30) #rect.scale(0.5, 0.5) #rect1",
"#rect.scale(0.5, 0.5) #rect1 = pg.QtGui.QGraphicsRectItem(0, 0, 100, 100) #rect1.setParentItem(rect) #rect1.setFlag(rect1.ItemIgnoresTransformations) #rec... |
[
"2 ** 0 EVENT_SCHEDULER_SHUTDOWN = 2 ** 1 EVENT_SCHEDULER_PAUSED = 2 ** 2",
"9 EVENT_JOB_REMOVED = 2 ** 10 EVENT_JOB_MODIFIED = 2 ** 11 EVENT_JOB_EXECUTED =",
"| EVENT_SCHEDULER_PAUSED | EVENT_SCHEDULER_RESUMED | EVENT_EXECUTOR_ADDED | EVENT_EXECUTOR_REMOVED | EVENT_JOBSTORE_ADDED | EVENT_JOBSTORE_REMOVED |",
... |
[
"Unless required by applicable law or agreed to in writing, software # distributed",
"yield target.Extend('nrf52840dongle-all-clusters', board=NrfBoard.NRF52840DONGLE, app=NrfApp.ALL_CLUSTERS) yield target.Extend('nrf52840dongle-light', board=NrfBoard.NRF52840DONGLE, app=NrfApp.LIGHT) for target in targets: yield... |
[
"= pianoroll[:, :-semitone, 1:] pianoroll[:, :semitone, 1:] = 0 elif semitone < 0:",
"loader -------------------------------------------------------------- def load_data_from_npy(filename): \"\"\"Load and return the training data from a npy",
"0: pianoroll[:, :semitone, 1:] = pianoroll[:, -semitone:, 1:] pianor... |
[] |