code
string
signature
string
docstring
string
loss_without_docstring
float64
loss_with_docstring
float64
factor
float64
def create_quiz_report(self, quiz_id, course_id, quiz_report_report_type, include=None, quiz_report_includes_all_versions=None): path = {} data = {} params = {} # REQUIRED - PATH - course_id path["course_id"] = course_id # REQUIRED - PATH - q...
Create a quiz report. Create and return a new report for this quiz. If a previously generated report matches the arguments and is still current (i.e. there have been no new submissions), it will be returned. *Responses* * <code>400 Bad Request</code> if...
null
null
null
s = cues or list(self.stimuli + self.inhibitors) clampings = it.chain.from_iterable(it.combinations(s, r) for r in xrange(len(s) + 1)) literals_tpl = {} for stimulus in self.stimuli: literals_tpl[stimulus] = -1 for c in clampings: literals = lit...
def clampings_iter(self, cues=None)
Iterates over all possible clampings of this experimental setup Parameters ---------- cues : Optional[iterable] If given, restricts clampings over given species names Yields ------ caspo.core.clamping.Clamping The next clamping with respect to t...
3.874284
4.102745
0.944315
fs = set((gringo.Fun('stimulus', [str(var)]) for var in self.stimuli)) fs = fs.union((gringo.Fun('inhibitor', [str(var)]) for var in self.inhibitors)) fs = fs.union((gringo.Fun('readout', [str(var)]) for var in self.readouts)) return fs
def to_funset(self)
Converts the experimental setup to a set of `gringo.Fun`_ object instances Returns ------- set The set of `gringo.Fun`_ object instances .. _gringo.Fun: http://potassco.sourceforge.net/gringo.html#Fun
4.082036
3.641694
1.120917
with open(filename) as fp: raw = json.load(fp) return cls(raw['stimuli'], raw['inhibitors'], raw['readouts'])
def from_json(cls, filename)
Creates an experimental setup from a JSON file Parameters ---------- filename : str Absolute path to JSON file Returns ------- caspo.core.setup.Setup Created object instance
5.808452
7.699378
0.754405
with open(filename, 'w') as fp: json.dump(dict(stimuli=self.stimuli, inhibitors=self.inhibitors, readouts=self.readouts), fp)
def to_json(self, filename)
Writes the experimental setup to a JSON file Parameters ---------- filename : str Absolute path where to write the JSON file
3.799156
3.927477
0.967327
cues = self.stimuli + self.inhibitors active_cues = set() active_readouts = set() for clause, var in networks.mappings: active_cues = active_cues.union((l for (l, s) in clause if l in cues)) if var in self.readouts: active_readouts.add(var...
def filter(self, networks)
Returns a new experimental setup restricted to species present in the given list of networks Parameters ---------- networks : :class:`caspo.core.logicalnetwork.LogicalNetworkList` List of logical networks Returns ------- caspo.core.setup.Setup Th...
4.853193
4.761289
1.019302
if rename_inhibitors: return self.stimuli + [i+'i' for i in self.inhibitors] else: return self.stimuli + self.inhibitors
def cues(self, rename_inhibitors=False)
Returns stimuli and inhibitors species of this experimental setup Parameters ---------- rename_inhibitors : boolean If True, rename inhibitors with an ending 'i' as in MIDAS files. Returns ------- list List of species names in order: first stimul...
3.216393
2.796536
1.150135
def list_external_tools_courses(self, course_id, include_parents=None, search_term=None, selectable=None): path = {} data = {} params = {} # REQUIRED - PATH - course_id path["course_id"] = course_id # OPTIONAL - search_term ...
List external tools. Returns the paginated list of external tools for the current context. See the get request docs for a single tool for a list of properties on an external tool.
null
null
null
def list_external_tools_accounts(self, account_id, include_parents=None, search_term=None, selectable=None): path = {} data = {} params = {} # REQUIRED - PATH - account_id path["account_id"] = account_id # OPTIONAL - search_term ...
List external tools. Returns the paginated list of external tools for the current context. See the get request docs for a single tool for a list of properties on an external tool.
null
null
null
def list_external_tools_groups(self, group_id, include_parents=None, search_term=None, selectable=None): path = {} data = {} params = {} # REQUIRED - PATH - group_id path["group_id"] = group_id # OPTIONAL - search_term if s...
List external tools. Returns the paginated list of external tools for the current context. See the get request docs for a single tool for a list of properties on an external tool.
null
null
null
def get_sessionless_launch_url_for_external_tool_courses(self, course_id, assignment_id=None, id=None, launch_type=None, module_item_id=None, url=None): path = {} data = {} params = {} # REQUIRED - PATH - course_id path["course_id"] = course_id ...
Get a sessionless launch url for an external tool. Returns a sessionless launch url for an external tool. NOTE: Either the id or url must be provided unless launch_type is assessment or module_item.
null
null
null
def get_single_external_tool_courses(self, course_id, external_tool_id): path = {} data = {} params = {} # REQUIRED - PATH - course_id path["course_id"] = course_id # REQUIRED - PATH - external_tool_id path["external_tool_i...
Get a single external tool. Returns the specified external tool.
null
null
null
def get_single_external_tool_accounts(self, account_id, external_tool_id): path = {} data = {} params = {} # REQUIRED - PATH - account_id path["account_id"] = account_id # REQUIRED - PATH - external_tool_id path["external_t...
Get a single external tool. Returns the specified external tool.
null
null
null
self._find_lte(key) node = self._create_node(key, value) self._insert(node)
def insert(self, key, value)
Insert a key-value pair in the list. The pair is inserted at the correct location so that the list remains sorted on *key*. If a pair with the same key is already in the list, then the pair is appended after all other pairs with that key.
5.552253
7.454895
0.74478
self._find_lt(key) node = self._path[0][2] if node is self._tail or key < node[0]: node = self._create_node(key, value) self._insert(node) else: node[1] = value
def replace(self, key, value)
Replace the value of the first key-value pair with key *key*. If the key was not found, the pair is inserted.
4.988698
5.576513
0.894591
for i in range(self.maxlevel): self._head[2+i] = self._tail self._tail[-1] = 0 self._level = 1
def clear(self)
Remove all key-value pairs.
7.465348
7.191763
1.038041
if start is None: node = self._head[2] else: self._find_lt(start) node = self._path[0][2] while node is not self._tail and (stop is None or node[0] < stop): yield (node[0], node[1]) node = node[2]
def items(self, start=None, stop=None)
Return an iterator yielding pairs. If *start* is specified, iteration starts at the first pair with a key that is larger than or equal to *start*. If not specified, iteration starts at the first pair in the list. If *stop* is specified, iteration stops at the last pair that is ...
3.772584
3.582913
1.052938
return (item[0] for item in self.items(start, stop))
def keys(self, start=None, stop=None)
Like :meth:`items` but returns only the keys.
5.984254
4.081138
1.46632
return (item[1] for item in self.items(start, stop))
def values(self, start=None, stop=None)
Like :meth:`items` but returns only the values.
5.862771
3.71896
1.576454
node = self._head[2] if node is self._tail: raise KeyError('list is empty') self._find_lt(node[0]) self._remove(node) return (node[0], node[1])
def popitem(self)
Removes the first key-value pair and return it. This method raises a ``KeyError`` if the list is empty.
4.396262
4.690456
0.937278
self._find_lt(key) node = self._path[0][2] if node is self._tail or key < node[0]: return default return node[1]
def search(self, key, default=None)
Find the first key-value pair with key *key* and return its value. If the key was not found, return *default*. If no default was provided, return ``None``. This method never raises a ``KeyError``.
6.914218
8.101002
0.853502
self._find_lt(key) node = self._path[0][2] if node is self._tail or key < node[0]: raise KeyError('{!r} is not in list'.format(key)) self._remove(node)
def remove(self, key)
Remove the first key-value pair with key *key*. If the key was not found, a ``KeyError`` is raised.
5.927008
6.267569
0.945663
self._find_lt(key) node = self._path[0][2] if node is self._tail or key < node[0]: if default is self.UNSET: raise KeyError('key {!r} not in list') return default self._remove(node) return node[1]
def pop(self, key, default=UNSET)
Remove the first key-value pair with key *key*. If a pair was removed, return its value. Otherwise if *default* was provided, return *default*. Otherwise a ``KeyError`` is raised.
5.536253
5.895541
0.939058
self._find_lt(key) node = self._path[0][2] if node is self._tail or key < node[0]: if default is self.UNSET: raise KeyError('key {!r} not in list'.format(key)) return default return self._distance[0]
def index(self, key, default=UNSET)
Find the first key-value pair with key *key* and return its position. If the key is not found, return *default*. If default was not provided, raise a ``KeyError``
6.067332
7.01154
0.865335
count = 0 pos = self.index(key, -1) if pos == -1: return count count += 1 for i in range(pos+1, len(self)): if self[i][0] != key: break count += 1 return count
def count(self, key)
Return the number of pairs with key *key*.
2.522712
2.388594
1.056149
def update_tab_for_course(self, tab_id, course_id, hidden=None, position=None): path = {} data = {} params = {} # REQUIRED - PATH - course_id path["course_id"] = course_id # REQUIRED - PATH - tab_id path["tab_id"] = tab_id ...
Update a tab for a course. Home and Settings tabs are not manageable, and can't be hidden or moved Returns a tab object
null
null
null
# Determine if a row per query limit should be set num_rows = self.count_rows(table) if num_rows > limit: return self._select_batched(table, '*', num_rows, limit, execute=execute) else: return self.select(table, '*', execute=execute)
def select_all(self, table, limit=MAX_ROWS_PER_QUERY, execute=True)
Query all rows and columns from a table.
4.54001
4.626463
0.981313
return self.select(table, cols, execute, select_type='SELECT DISTINCT')
def select_distinct(self, table, cols='*', execute=True)
Query distinct values from a table.
7.325654
7.449538
0.98337
# Validate query type select_type = select_type.upper() assert select_type in SELECT_QUERY_TYPES # Concatenate statement statement = '{0} {1} FROM {2}'.format(select_type, join_cols(cols), wrap(table)) if not execute: # Return command ret...
def select(self, table, cols, execute=True, select_type='SELECT', return_type=list)
Query every row and only certain columns from a table.
5.090658
5.061673
1.005726
# Check if cols is a list of tuples if isinstance(cols[0], tuple): cols = join_cols(['{0}.{1}'.format(tbl, col) for tbl, col in cols]) else: cols = join_cols(['{0}.{1}'.format(table1, col) for col in cols]) # Validate join_type and table2_col joi...
def select_join(self, table1, table2, cols, table1_col, table2_col=None, join_type=None)
Left join all rows and columns from two tables where a common value is shared. :param table1: Name of table #1 :param table2: Name of table #2 :param cols: List of columns or column tuples String or flat list: Assumes column(s) are from table #1 if not specified List of ...
2.444599
2.384312
1.025285
return self.fetch(self._select_limit_statement(table, cols, offset, limit))
def select_limit(self, table, cols='*', offset=0, limit=MAX_ROWS_PER_QUERY)
Run a select query with an offset and limit parameter.
5.099705
4.604245
1.107609
# Unpack WHERE clause dictionary into tuple if isinstance(where, (list, set)): # Multiple WHERE clause's (separate with AND) clauses = [self._where_clause(clause) for clause in where] where_statement = ' AND '.join(clauses) else: where_sta...
def select_where(self, table, cols, where, return_type=list)
Query certain rows from a table where a particular value is found. cols parameter can be passed as a iterable (list, set, tuple) or a string if only querying a single column. where parameter can be passed as a two or three part tuple. If only two parts are passed the assumed operator is equal...
4.525812
4.556211
0.993328
# Unpack WHERE clause dictionary into tuple min_val, max_val = between # Concatenate full statement and execute statement = "SELECT {0} FROM {1} WHERE {2} BETWEEN {3} AND {4}".format(join_cols(cols), wrap(table), where_col, ...
def select_where_between(self, table, cols, where_col, between)
Query rows from a table where a columns value is found between two values. :param table: Name of the table :param cols: List, tuple or set of columns or string with single column name :param where_col: Column to check values against :param between: Tuple with min and max values for comp...
5.142088
5.473421
0.939465
# Retrieve search pattern pattern = self._like_pattern(start, end, anywhere, index, length) # Concatenate full statement and execute statement = "SELECT {0} FROM {1} WHERE {2} LIKE '{3}'".format(join_cols(cols), wrap(table), where_col, pattern) return self.fetch(stateme...
def select_where_like(self, table, cols, where_col, start=None, end=None, anywhere=None, index=(None, None), length=None)
Query rows from a table where a specific pattern is found in a column. MySQL syntax assumptions: (%) The percent sign represents zero, one, or multiple characters. (_) The underscore represents a single character. :param table: Name of the table :param cols: List, tuple...
4.600767
5.529637
0.83202
assert isinstance(where, tuple) if len(where) == 3: where_col, operator, where_val = where else: where_col, where_val = where operator = '=' assert operator in SELECT_WHERE_OPERATORS # Concatenate WHERE clause (ex: **first_name='John'...
def _where_clause(where)
Unpack a where clause tuple and concatenate a MySQL WHERE statement. :param where: 2 or 3 part tuple containing a where_column and a where_value (optional operator) :return: WHERE clause statement
4.663581
4.184918
1.114378
if return_type is dict: # Pack each row into a dictionary cols = self.get_columns(table) if cols is '*' else cols if len(values) > 0 and isinstance(values[0], (set, list, tuple)): return [dict(zip(cols, row)) for row in values] else: ...
def _return_rows(self, table, cols, values, return_type)
Return fetched rows in the desired type.
2.973949
2.945115
1.009791
# Execute select queries in small batches to avoid connection timeout commands, offset = [], 0 while num_rows > 0: # Use number of rows as limit if num_rows < limit _limit = min(limit, num_rows) # Execute select_limit query commands.appen...
def _select_batched(self, table, cols, num_rows, limit, queries_per_batch=3, execute=True)
Run select queries in small batches and return joined resutls.
4.429809
4.154799
1.066191
return 'SELECT {0} FROM {1} LIMIT {2}, {3}'.format(join_cols(cols), wrap(table), offset, limit)
def _select_limit_statement(table, cols='*', offset=0, limit=MAX_ROWS_PER_QUERY)
Concatenate a select with offset and limit statement.
4.266833
3.773739
1.130664
# Unpack index tuple index_num, index_char = index index = None # Start, end, anywhere if all(i for i in [start, end, anywhere]) and not any(i for i in [index, length]): return '{start}%{anywhere}%{end}'.format(start=start, end=end, anywhere=anywhere) ...
def _like_pattern(start, end, anywhere, index, length)
Create a LIKE pattern to use as a search parameter for a WHERE clause. :param start: Value to be found at the start :param end: Value to be found at the end :param anywhere: Value to be found anywhere :param index: Value to be found at a certain index :param length: Minimum char...
1.638716
1.630542
1.005013
if not all(isinstance(r, (list, set, tuple)) for r in values): values = [[r] for r in values] rows = [] for row in values: new_row = [] for col in row: if col is None: new_col = 'NULL' elif isinstance(col, (int, float, Decimal)): ...
def insert_statement(table, columns, values)
Generate an insert statement string for dumping to text file or MySQL execution.
2.641924
2.615041
1.01028
create_statement = self.get_table_definition(table) data = self.select_all(table) statements = ['\n', sql_file_comment(''), sql_file_comment('Table structure and data dump for {0}'.format(table)), sql_file_comment('')] if drop_statement: stateme...
def dump_table(self, table, drop_statement=True)
Export a table structure and data to SQL file for backup or later import.
3.45384
3.216617
1.073749
# Change database if needed if database: self.change_db(database) # Set table if not tables: tables = self.tables # Retrieve and join dump statements statements = [self.dump_table(table) for table in tqdm(tables, total=len(tables), desc=...
def dump_database(self, file_path, database=None, tables=None)
Export the table structure and data for tables in a database. If not database is specified, it is assumed the currently connected database is the source. If no tables are provided, all tables will be dumped.
3.327515
3.445856
0.965657
def inner(self, *args, **kwargs): attempt_number = 1 while attempt_number < self.retries: try: return method(self, *args, **kwargs) except HasOffersException as exc: if 'API usage exceeded rate limit' not in str(exc): ...
def retry(method)
Allows to retry method execution few times.
3.901646
3.745376
1.041723
self._managers = {} for manager_class in MODEL_MANAGERS: instance = manager_class(self) if not instance.forbid_registration \ and not isinstance(instance, ApplicationManager) or instance.__class__ is ApplicationManager: # Descendants o...
def setup_managers(self)
Allows to access manager by model name - it is convenient, because HasOffers returns model names in responses.
6.051507
5.542526
1.091832
if target_class is None: target_class = target params = prepare_query_params( NetworkToken=self.network_token, NetworkId=self.network_id, Target=target, Method=method, **kwargs ) kwargs = {'url': self.endpoi...
def _call(self, target, method, target_class=None, single_result=True, raw=False, files=None, **kwargs)
Low-level call to HasOffers API. :param target_class: type of resulting object/objects.
2.705993
2.781745
0.972768
response = content['response'] self.check_errors(response) data = response.get('data') if is_empty(data): return data elif is_paginated(data): if 'count' in data and not data['count']: # Response is paginated, but is empty ...
def handle_response(self, content, target=None, single_result=True, raw=False)
Parses response, checks it.
4.046242
3.933409
1.028686
if single_result: return self.init_target_object(target, data) return list(self.expand_models(target, data))
def init_all_objects(self, data, target=None, single_result=True)
Initializes model instances from given data. Returns single instance if single_result=True.
5.523448
6.070431
0.909894
target_object = self.init_single_object(target, data.pop(target, data)) for key, item in data.items(): key_alias = MANAGER_ALIASES.get(key, key) if item: # Item is an OrderedDict with 4 possible structure patterns: # - Just an OrderedDic...
def init_target_object(self, target, data)
Initializes target object and assign extra objects to target as attributes
3.575025
3.490294
1.024276
if isinstance(data, dict): data = data.values() for chunk in data: if target in chunk: yield self.init_target_object(target, chunk) else: for key, item in chunk.items(): yield self.init_single_object(key, it...
def expand_models(self, target, data)
Generates all objects from given data.
3.92899
3.651207
1.07608
dominant_qs = ContributorRole.objects.filter(name=dominant_name) if not dominant_qs.exists() or dominant_qs.count() != 1: return dominant = dominant_qs.first() deprecated_qs = ContributorRole.objects.filter(name=deprecated_name) if not deprecated_qs.exists() or deprecated_qs.count() != ...
def merge_roles(dominant_name, deprecated_name)
Merges a deprecated role into a dominant role.
1.741526
1.726371
1.008778
'''Wrapper for search_bugs, for simple string searches''' assert type(terms) is str p = [{'quicksearch': terms}] return self.search_bugs(p)
def quick_search(self, terms)
Wrapper for search_bugs, for simple string searches
12.013271
5.549576
2.164719
'''http://bugzilla.readthedocs.org/en/latest/api/core/v1/bug.html#search-bugs terms = [{'product': 'Infrastructure & Operations'}, {'status': 'NEW'}]''' params = '' for i in terms: k = i.popitem() params = '{p}&{new}={value}'.format(p=params, new=quote_url(k[0]), ...
def search_bugs(self, terms)
http://bugzilla.readthedocs.org/en/latest/api/core/v1/bug.html#search-bugs terms = [{'product': 'Infrastructure & Operations'}, {'status': 'NEW'}]
6.792458
3.526614
1.926056
'''http://bugzilla.readthedocs.org/en/latest/api/core/v1/attachment.html#update-attachment''' assert type(attachment_update) is DotDict if (not 'ids' in attachment_update): attachment_update.ids = [attachmentid] return self._put('bug/attachment/{attachmentid}'.format(attachm...
def put_attachment(self, attachmentid, attachment_update)
http://bugzilla.readthedocs.org/en/latest/api/core/v1/attachment.html#update-attachment
5.064839
3.458805
1.464332
'''http://bugzilla.readthedocs.org/en/latest/api/core/v1/bug.html#update-bug''' assert type(bug_update) is DotDict if (not 'ids' in bug_update): bug_update.ids = [bugid] return self._put('bug/{bugid}'.format(bugid=bugid), json.dumps(bug_update))
def put_bug(self, bugid, bug_update)
http://bugzilla.readthedocs.org/en/latest/api/core/v1/bug.html#update-bug
4.641221
3.262553
1.422573
'''http://bugzilla.readthedocs.org/en/latest/api/core/v1/attachment.html#create-attachment''' assert type(attachment) is DotDict assert 'data' in attachment assert 'file_name' in attachment assert 'summary' in attachment if (not 'content_type' in attachment): attachment.c...
def post_attachment(self, bugid, attachment)
http://bugzilla.readthedocs.org/en/latest/api/core/v1/attachment.html#create-attachment
3.867673
3.10762
1.244577
'''http://bugzilla.readthedocs.org/en/latest/api/core/v1/bug.html#create-bug''' assert type(bug) is DotDict assert 'product' in bug assert 'component' in bug assert 'summary' in bug if (not 'version' in bug): bug.version = 'other' if (not 'op_sys' in bug): bug.op_...
def post_bug(self, bug)
http://bugzilla.readthedocs.org/en/latest/api/core/v1/bug.html#create-bug
3.804046
2.928806
1.298838
'''http://bugzilla.readthedocs.org/en/latest/api/core/v1/comment.html#create-comments''' data = {'id': bugid, "comment": comment} return self._post('bug/{bugid}/comment'.format(bugid=bugid), json.dumps(data))
def post_comment(self, bugid, comment)
http://bugzilla.readthedocs.org/en/latest/api/core/v1/comment.html#create-comments
4.449083
2.572614
1.729402
'''Generic GET wrapper including the api_key''' if (q[-1] == '/'): q = q[:-1] headers = {'Content-Type': 'application/json'} r = requests.get('{url}{q}?api_key={key}{params}'.format(url=self.url, q=q, key=self.api_key, params=params), headers=headers) ret ...
def _get(self, q, params='')
Generic GET wrapper including the api_key
3.31102
2.847201
1.162904
'''Generic POST wrapper including the api_key''' if (q[-1] == '/'): q = q[:-1] headers = {'Content-Type': 'application/json'} r = requests.post('{url}{q}?api_key={key}{params}'.format(url=self.url, q=q, key=self.api_key, params=params), headers=headers, data=paylo...
def _post(self, q, payload='', params='')
Generic POST wrapper including the api_key
3.184164
2.756136
1.1553
def bind_objects(self, *objects): self.control.bind_keys(objects) self.objects += objects
Bind one or more objects
null
null
null
def update(self, time_delta): self.control.update(self, time_delta) for object in self.objects: object.update(time_delta) # object.sprite.last_position = object.sprite.position # object.sprite.last_velocity = object.sprite.velocity # for grou...
Update all sprites in the system. time_delta is the time since the last update (in arbitrary time units). This method can be conveniently scheduled using the Pyglet scheduler method: pyglet.clock.schedule_interval
null
null
null
def draw(self): glPushAttrib(GL_ALL_ATTRIB_BITS) self.draw_score() for sprite in self: sprite.draw() glPopAttrib()
Draw all the sprites in the system using their renderers. This method is convenient to call from you Pyglet window's on_draw handler to redraw particles when needed.
null
null
null
def reset_ball(self, x, y): self.sprite.position.x = x self.sprite.position.y = y
reset ball to set location on the screen
null
null
null
def update(self, td): self.sprite.last_position = self.sprite.position self.sprite.last_velocity = self.sprite.velocity if self.particle_group != None: self.update_particle_group(td)
Update state of ball
null
null
null
def generate(self): x, y, z = self.point1 return (x + self.size_x * random(), y + self.size_y * random(), z + self.size_z * random())
Return a random point inside the box
null
null
null
if preview: func = preview_filter_from_query else: func = filter_from_query f = func(query, id_field=id_field, field_map=field_map) # filter by published if published: if f: f &= Range(published={"lte": timezone.now()}) else: f = Range(pub...
def custom_search_model(model, query, preview=False, published=False, id_field="id", sort_pinned=True, field_map={})
Filter a model with the given filter. `field_map` translates incoming field names to the appropriate ES names.
3.442727
3.498811
0.983971
f = groups_filter_from_query(query, field_map=field_map) # NOTE: we don't exclude the excluded ids here so they show up in the editor # include these, please included_ids = query.get("included_ids") if included_ids: if f: f |= Terms(pk=included_ids) else: ...
def preview_filter_from_query(query, id_field="id", field_map={})
This filter includes the "excluded_ids" so they still show up in the editor.
6.198174
4.747101
1.305675
f = groups_filter_from_query(query, field_map=field_map) excluded_ids = query.get("excluded_ids") included_ids = query.get("included_ids") if included_ids: # include these, please if f is None: f = Terms(pk=included_ids) else: f |= Terms(pk=included_ids) ...
def filter_from_query(query, id_field="id", field_map={})
This returns a filter which actually filters out everything, unlike the preview filter which includes excluded_ids for UI purposes.
3.564691
3.251481
1.096328
field_name = condition.get("field") field_name = field_map.get(field_name, field_name) operation = condition["type"] values = condition["values"] condition_filter = MatchAll() if values: values = [v["value"] for v in values] if operation == "all": for value in ...
def get_condition_filter(condition, field_map={})
Return the appropriate filter for a given group condition. # TODO: integrate this into groups_filter_from_query function.
1.86171
1.83429
1.014949
f = None # filter groups for group in query.get("groups", []): group_f = MatchAll() for condition in group.get("conditions", []): field_name = condition["field"] field_name = field_map.get(field_name, field_name) operation = condition["type"] ...
def groups_filter_from_query(query, field_map={})
Creates an F object for the groups of a search query.
1.97334
1.91397
1.031019
filter_days = list(filter( lambda time: time["label"] == range_name, settings.CUSTOM_SEARCH_TIME_PERIODS)) num_days = filter_days[0]["days"] if len(filter_days) else None if num_days: dt = timedelta(num_days) start_time = timezone.now() - dt return Range(publis...
def date_range_filter(range_name)
Create a filter from a named date range.
5.91308
5.407823
1.093431
headers = { "Authorization": "Bearer " + self.token, "Content-Type": "application/json", "X-Version": "1", "Accept": "application/json" } return Transport.request(self, action, data, headers, method)
def request(self, action, data={}, headers={}, method='GET')
Append the REST headers to every request
2.834487
2.662851
1.064456
to = to if isinstance(to, list) else [to] to = [str(num) for num in to] data = {'to': to, 'text': message} data = self.merge(data, {'callback': 7, 'mo': 1}, extra) content = self.parseRest(self.request('rest/message', data, {}, 'POST')); result = [] # M...
def sendMessage(self, to, message, extra={})
If the 'to' parameter is a single entry, we will parse it into a list. We will merge default values into the request data and the extra parameters provided by the user.
4.657619
4.368221
1.066251
content = self.parseRest(self.request('rest/message/' + apiMsgId, {}, {}, 'DELETE')) return { 'id': content['apiMessageId'].encode('utf-8'), 'status': content['messageStatus'].encode('utf-8'), 'description': self.getStatus(content['messageStatus']) ...
def stopMessage(self, apiMsgId)
See parent method for documentation
6.126574
5.882596
1.041475
content = self.parseRest(self.request('rest/message/' + apiMsgId)) return { 'id': apiMsgId, 'status': content['messageStatus'].encode('utf-8'), 'description': self.getStatus(content['messageStatus']), 'charge': float(content['charge']) }
def getMessageCharge(self, apiMsgId)
See parent method for documentation
4.950398
4.718781
1.049084
content = self.parseRest(self.request('rest/coverage/' + str(msisdn))) return { 'routable': content['routable'], 'destination': content['destination'].encode('utf-8'), 'charge': float(content['minimumCharge']) }
def routeCoverage(self, msisdn)
If the route coverage lookup encounters an error, we will treat it as "not covered".
7.205974
6.790424
1.061196
def make_account_admin(self, user_id, account_id, role=None, role_id=None, send_confirmation=None): path = {} data = {} params = {} # REQUIRED - PATH - account_id path["account_id"] = account_id # REQUIRED - user_id data["u...
Make an account admin. Flag an existing user as an admin within the account.
null
null
null
def list_account_admins(self, account_id, user_id=None): path = {} data = {} params = {} # REQUIRED - PATH - account_id path["account_id"] = account_id # OPTIONAL - user_id if user_id is not None: params["user_...
List account admins. List the admins in the account
null
null
null
if len(hex_code) != 6: raise ValueError(hex_code + " is not a string of length 6, cannot convert to rgb.") return tuple(map(ord, hex_code.decode("hex")))
def _hex_to_rgb(hex_code)
>>> _hex_to_rgb("007fff") (0, 127, 255)
3.66668
3.554848
1.031459
if hasattr(f_or_filename, "read"): colors = (row for row in csv.reader(f_or_filename) if row) else: with open(f_or_filename, "rb") as f: colors = [row for row in csv.reader(f) if row] self.add_colors(system, colors)
def add_colors_from_file(self, system, f_or_filename)
Add color definition to a given color system. You may pass either a file-like object or a filename string pointing to a color definition csv file. Each line in that input file should look like this:: café au lait,a67b5b i.e. a color name and a sRGB hex code, separated by b...
2.234404
2.551302
0.87579
if system not in self._colors_by_system_hex: self._colors_by_system_hex[system] = {} self._colors_by_system_lab[system] = [] for color_name, hex_code in colors: hex_code = hex_code.lower().strip().strip("#") color_name = color_name.lower().strip...
def add_colors(self, system, colors)
Add color definition to a given color system. You may add to already existing color system. Previously existing color definitions of the same (normalized) name will be overwritten, regardless of the color system. Args: system (string): The color system the colors should be ad...
2.416555
2.552562
0.946717
in_string = _normalize(in_string) if in_string in self._hex_by_color: return MatchResult(self._hex_by_color[in_string], 100) if not fuzzy: raise ValueError("No match for %r found." % in_string) # We want the standard scorer *plus* the set scorer, becaus...
def match_name(self, in_string, fuzzy=False)
Match a color to a sRGB value. The matching will be based purely on the input string and the color names in the registry. If there's no direct hit, a fuzzy matching algorithm is applied. This method will never fail to return a sRGB value, but depending on the score, it might or might no...
3.992861
3.984432
1.002116
if system not in self._colors_by_system_hex: raise ValueError( "%r is not a registered color system. Try one of %r" % (system, self._colors_by_system_hex.keys()) ) hex_code = hex_code.lower().strip() # Try direct hit (fast path) ...
def find_nearest(self, hex_code, system, filter_set=None)
Find a color name that's most similar to a given sRGB hex code. In normalization terms, this method implements "normalize an arbitrary sRGB value to a well-defined color name". Args: system (string): The color system. Currently, `"en"`` is the only default system. ...
2.53492
2.384943
1.062885
value_key = value_key + 'value' @implementer(IAuthSourceService) class SessionAuthSource(object): vary = [] def __init__(self, context, request): self.request = request self.session = request.session self.cur_val = None def get_value(self)...
def SessionAuthSourceInitializer( value_key='sanity.' )
An authentication source that uses the current session
2.191741
2.195742
0.998178
@implementer(IAuthSourceService) class CookieAuthSource(object): vary = ['Cookie'] def __init__(self, context, request): self.domains = domains if self.domains is None: self.domains = [] self.domains.append(request.domain) ...
def CookieAuthSourceInitializer( secret, cookie_name='auth', secure=False, max_age=None, httponly=False, path="/", domains=None, debug=False, hashalg='sha512', )
An authentication source that uses a unique cookie.
2.971456
3.088649
0.962057
@implementer(IAuthSourceService) class HeaderAuthSource(object): vary = ['Authorization'] def __init__(self, context, request): self.request = request self.cur_val = None serializer = JSONSerializer() self.serializer = SignedSerializer( ...
def HeaderAuthSourceInitializer( secret, salt='sanity.header.' )
An authentication source that uses the Authorization header.
2.9297
2.968383
0.986968
mfield = self.mfield or resource.meta.model._meta.fields.get(self.field.attribute) if mfield: collection = collection.where(*[op(mfield, val) for op, val in ops]) return collection
def apply(self, collection, ops, resource=None, **kwargs)
Filter given collection.
6.184408
5.809132
1.064601
resource = request.match_info.get(self.name) if not resource: return None try: return self.collection.where(self.meta.model_pk == resource).get() except Exception: raise RESTNotFound(reason='Resource not found.')
def get_one(self, request, **kwargs)
Load a resource.
7.206155
6.731634
1.070491
sorting_ = [] for name, desc in sorting: field = self.meta.model._meta.fields.get(name) if field is None: continue if desc: field = field.desc() sorting_.append(field) if sorting_: return self.co...
def sort(self, *sorting, **kwargs)
Sort resources.
3.012135
2.790005
1.079616
return self.collection.offset(offset).limit(limit), self.collection.count()
def paginate(self, request, offset=0, limit=None)
Paginate queryset.
6.747485
6.059368
1.113563
resources = resource if isinstance(resource, list) else [resource] for obj in resources: obj.save() return resource
def save(self, request, resource=None, **kwargs)
Create a resource.
3.957487
3.452198
1.146367
if resource: resources = [resource] else: data = await self.parse(request) if data: resources = list(self.collection.where(self.meta.model_pk << data)) if not resources: raise RESTNotFound(reason='Resource not found') ...
async def delete(self, request, resource=None, **kwargs)
Delete a resource. Supports batch delete.
5.847957
5.808352
1.006819
def get_sub_accounts_of_account(self, account_id, recursive=None): path = {} data = {} params = {} # REQUIRED - PATH - account_id path["account_id"] = account_id # OPTIONAL - recursive if recursive is not None: ...
Get the sub-accounts of an account. List accounts that are sub-accounts of the given account.
null
null
null
def list_active_courses_in_account(self, account_id, by_subaccounts=None, by_teachers=None, completed=None, enrollment_term_id=None, enrollment_type=None, hide_enrollmentless_courses=None, include=None, published=None, search_term=None, state=None, with_enrollments=None): path = {} data = {}...
List active courses in an account. Retrieve the list of courses in this account.
null
null
null
def create_new_sub_account(self, account_id, account_name, account_default_group_storage_quota_mb=None, account_default_storage_quota_mb=None, account_default_user_storage_quota_mb=None, account_sis_account_id=None): path = {} data = {} params = {} # REQUIRED - PATH - acc...
Create a new sub-account. Add a new sub-account to a given account.
null
null
null
if where: where_key, where_val = where query = "DELETE FROM {0} WHERE {1}='{2}'".format(wrap(table), where_key, where_val) else: query = 'DELETE FROM {0}'.format(wrap(table)) self.execute(query) return True
def delete(self, table, where=None)
Delete existing rows from a table.
2.695671
2.589698
1.040921
NODES_ATTR = { 'DEFAULT': {'color': 'black', 'fillcolor': 'white', 'style': 'filled, bold', 'fontname': 'Helvetica', 'fontsize': 18, 'shape': 'ellipse'}, 'STIMULI': {'color': 'olivedrab3', 'fillcolor': 'olivedrab3'}, 'INHIBITOR': {'color': 'orangered', 'fillcolor': 'orangered'}, ...
def coloured_network(network, setup, filename)
Plots a coloured (hyper-)graph to a dot file Parameters ---------- network : object An object implementing a method `__plot__` which must return the `networkx.MultiDiGraph`_ instance to be coloured. Typically, it will be an instance of either :class:`caspo.core.graph.Graph`, :class:`caspo.c...
2.392583
2.299061
1.040678
df.mse = df.mse.map(lambda f: "%.4f" % f) g = sns.JointGrid(x="mse", y="size", data=df) g.plot_joint(sns.violinplot, scale='count') g.ax_joint.set_yticks(range(df['size'].min(), df['size'].max() + 1)) g.ax_joint.set_yticklabels(range(df['size'].min(), df['size'].max() + 1)) for tick in ...
def networks_distribution(df, filepath=None)
Generates two alternative plots describing the distribution of variables `mse` and `size`. It is intended to be used over a list of logical networks. Parameters ---------- df: `pandas.DataFrame`_ DataFrame with columns `mse` and `size` filepath: str Absolute path to a folder w...
2.101232
2.090044
1.005353
df = df.sort_values('frequency') df['conf'] = df.frequency.map(lambda f: 0 if f < 0.2 else 1 if f < 0.8 else 2) g = sns.factorplot(x="mapping", y="frequency", data=df, aspect=3, hue='conf', legend=False) for tick in g.ax.get_xticklabels(): tick.set_rotation(90) g.ax.set_ylim([-.05, 1...
def mappings_frequency(df, filepath=None)
Plots the frequency of logical conjunction mappings Parameters ---------- df: `pandas.DataFrame`_ DataFrame with columns `frequency` and `mapping` filepath: str Absolute path to a folder where to write the plot Returns ------- plot Generated plot .. _pandas....
2.671921
2.520197
1.060203
cols = ["networks", "index"] rcols = ["Logical networks", "Input-Output behaviors"] sort_cols = ["networks"] if "mse" in df.columns: cols.append("mse") rcols.append("MSE") sort_cols = ["mse"] + sort_cols df.mse = df.mse.map(lambda f: "%.4f" % f) df = df.sort_...
def behaviors_distribution(df, filepath=None)
Plots the distribution of logical networks across input-output behaviors. Optionally, input-output behaviors can be grouped by MSE. Parameters ---------- df: `pandas.DataFrame`_ DataFrame with columns `networks` and optionally `mse` filepath: str Absolute path to a folder where to ...
3.125601
2.564482
1.218804