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meta_information
dict
q2500
RepoResultManager.add_git
train
def add_git(meta, git_info): """Enrich the result meta information with commit data.""" meta["hexsha"] = git_info.hexsha meta["author"] = git_info.author meta["email"] = git_info.email meta["authored_on"] = git_info.authored_on.isoformat(" ")
python
{ "resource": "" }
q2501
RepoResultManager.load
train
def load(self, commit=None): """Load a result from the storage directory.""" git_info = self.record_git_info(commit) LOGGER.debug("Loading the result for commit '%s'.", git_info.hexsha) filename = self.get_filename(git_info) LOGGER.debug("Loading the result '%s'.", filename) ...
python
{ "resource": "" }
q2502
MemoteExtension.normalize
train
def normalize(filename): """Return an absolute path of the given file name.""" # Default value means we do not resolve a model file. if filename == "default": return filename filename = expanduser(filename) if isabs(filename): return filename else:...
python
{ "resource": "" }
q2503
GrowthExperiment.evaluate
train
def evaluate(self, model, threshold=0.1): """Evaluate in silico growth rates.""" with model: if self.medium is not None: self.medium.apply(model) if self.objective is not None: model.objective = self.objective model.add_cons_vars(self.c...
python
{ "resource": "" }
q2504
BJSON.process_bind_param
train
def process_bind_param(self, value, dialect): """Convert the value to a JSON encoded string before storing it.""" try: with BytesIO() as stream: with GzipFile(fileobj=stream, mode="wb") as file_handle: file_handle.write( jsonify(val...
python
{ "resource": "" }
q2505
BJSON.process_result_value
train
def process_result_value(self, value, dialect): """Convert a JSON encoded string to a dictionary structure.""" if value is not None: with BytesIO(value) as stream: with GzipFile(fileobj=stream, mode="rb") as file_handle: value = json.loads(file_handle.read...
python
{ "resource": "" }
q2506
ZXCVBNValidator.validate
train
def validate(self, password, user=None): """Validate method, run zxcvbn and check score.""" user_inputs = [] if user is not None: for attribute in self.user_attributes: if hasattr(user, attribute): user_inputs.append(getattr(user, attribute)) ...
python
{ "resource": "" }
q2507
_get_html_contents
train
def _get_html_contents(html): """Process a HTML block and detects whether it is a code block, a math block, or a regular HTML block.""" parser = MyHTMLParser() parser.feed(html) if parser.is_code: return ('code', parser.data.strip()) elif parser.is_math: return ('math', parser.da...
python
{ "resource": "" }
q2508
_is_path
train
def _is_path(s): """Return whether an object is a path.""" if isinstance(s, string_types): try: return op.exists(s) except (OSError, ValueError): return False else: return False
python
{ "resource": "" }
q2509
FormatManager.format_manager
train
def format_manager(cls): """Return the instance singleton, creating if necessary """ if cls._instance is None: # Discover the formats and register them with a new singleton. cls._instance = cls().register_entrypoints() return cls._instance
python
{ "resource": "" }
q2510
FormatManager.register_entrypoints
train
def register_entrypoints(self): """Look through the `setup_tools` `entry_points` and load all of the formats. """ for spec in iter_entry_points(self.entry_point_group): format_properties = {"name": spec.name} try: format_properties.update(spec.l...
python
{ "resource": "" }
q2511
FormatManager.format_from_extension
train
def format_from_extension(self, extension): """Find a format from its extension.""" formats = [name for name, format in self._formats.items() if format.get('file_extension', None) == extension] if len(formats) == 0: return None elif len(f...
python
{ "resource": "" }
q2512
FormatManager.load
train
def load(self, file, name=None): """Load a file. The format name can be specified explicitly or inferred from the file extension.""" if name is None: name = self.format_from_extension(op.splitext(file)[1]) file_format = self.file_type(name) if file_format == 'text': ...
python
{ "resource": "" }
q2513
FormatManager.save
train
def save(self, file, contents, name=None, overwrite=False): """Save contents into a file. The format name can be specified explicitly or inferred from the file extension.""" if name is None: name = self.format_from_extension(op.splitext(file)[1]) file_format = self.file_type(...
python
{ "resource": "" }
q2514
FormatManager.create_reader
train
def create_reader(self, name, *args, **kwargs): """Create a new reader instance for a given format.""" self._check_format(name) return self._formats[name]['reader'](*args, **kwargs)
python
{ "resource": "" }
q2515
FormatManager.create_writer
train
def create_writer(self, name, *args, **kwargs): """Create a new writer instance for a given format.""" self._check_format(name) return self._formats[name]['writer'](*args, **kwargs)
python
{ "resource": "" }
q2516
FormatManager.convert
train
def convert(self, contents_or_path, from_=None, to=None, reader=None, writer=None, from_kwargs=None, to_kwargs=None, ): """Convert contents between supported formats. Paramete...
python
{ "resource": "" }
q2517
FormatManager.clean_meta
train
def clean_meta(self, meta): """Removes unwanted metadata Parameters ---------- meta : dict Notebook metadata. """ if not self.verbose_metadata: default_kernel_name = (self.default_kernel_name or self._km.kernel_...
python
{ "resource": "" }
q2518
FormatManager.clean_cell_meta
train
def clean_cell_meta(self, meta): """Remove cell metadata that matches the default cell metadata.""" for k, v in DEFAULT_CELL_METADATA.items(): if meta.get(k, None) == v: meta.pop(k, None) return meta
python
{ "resource": "" }
q2519
_starts_with_regex
train
def _starts_with_regex(line, regex): """Return whether a line starts with a regex or not.""" if not regex.startswith('^'): regex = '^' + regex reg = re.compile(regex) return reg.match(line)
python
{ "resource": "" }
q2520
create_prompt
train
def create_prompt(prompt): """Create a prompt manager. Parameters ---------- prompt : str or class driving from BasePromptManager The prompt name ('python' or 'ipython') or a custom PromptManager class. """ if prompt is None: prompt = 'python' if prompt == 'python'...
python
{ "resource": "" }
q2521
BasePromptManager.split_input_output
train
def split_input_output(self, text): """Split code into input lines and output lines, according to the input and output prompt templates.""" lines = _to_lines(text) i = 0 for line in lines: if _starts_with_regex(line, self.input_prompt_regex): i += 1 ...
python
{ "resource": "" }
q2522
_split_python
train
def _split_python(python): """Split Python source into chunks. Chunks are separated by at least two return lines. The break must not be followed by a space. Also, long Python strings spanning several lines are not splitted. """ python = _preprocess(python) if not python: return [] ...
python
{ "resource": "" }
q2523
_is_chunk_markdown
train
def _is_chunk_markdown(source): """Return whether a chunk contains Markdown contents.""" lines = source.splitlines() if all(line.startswith('# ') for line in lines): # The chunk is a Markdown *unless* it is commented Python code. source = '\n'.join(line[2:] for line in lines ...
python
{ "resource": "" }
q2524
_filter_markdown
train
def _filter_markdown(source, filters): """Only keep some Markdown headers from a Markdown string.""" lines = source.splitlines() # Filters is a list of 'hN' strings where 1 <= N <= 6. headers = [_replace_header_filter(filter) for filter in filters] lines = [line for line in lines if line.startswith(...
python
{ "resource": "" }
q2525
BlockLexer.parse_lheading
train
def parse_lheading(self, m): """Parse setext heading.""" level = 1 if m.group(2) == '=' else 2 self.renderer.heading(m.group(1), level=level)
python
{ "resource": "" }
q2526
MarkdownWriter.ensure_newline
train
def ensure_newline(self, n): """Make sure there are 'n' line breaks at the end.""" assert n >= 0 text = self._output.getvalue().rstrip('\n') if not text: return self._output = StringIO() self._output.write(text) self._output.write('\n' * n) tex...
python
{ "resource": "" }
q2527
BaseMarkdownReader._meta_from_regex
train
def _meta_from_regex(self, m): """Extract and parse YAML metadata from a meta match Notebook metadata must appear at the beginning of the file and follows the Jekyll front-matter convention of dashed delimiters: --- some: yaml --- Cell metadata foll...
python
{ "resource": "" }
q2528
MarkdownReader._code_cell
train
def _code_cell(self, source): """Split the source into input and output.""" input, output = self._prompt.to_cell(source) return {'cell_type': 'code', 'input': input, 'output': output}
python
{ "resource": "" }
q2529
_preprocess
train
def _preprocess(text, tab=4): """Normalize a text.""" text = re.sub(r'\r\n|\r', '\n', text) text = text.replace('\t', ' ' * tab) text = text.replace('\u00a0', ' ') text = text.replace('\u2424', '\n') pattern = re.compile(r'^ +$', re.M) text = pattern.sub('', text) text = _rstrip_lines(te...
python
{ "resource": "" }
q2530
_diff
train
def _diff(text_0, text_1): """Return a diff between two strings.""" diff = difflib.ndiff(text_0.splitlines(), text_1.splitlines()) return _diff_removed_lines(diff)
python
{ "resource": "" }
q2531
_write_json
train
def _write_json(file, contents): """Write a dict to a JSON file.""" with open(file, 'w') as f: return json.dump(contents, f, indent=2, sort_keys=True)
python
{ "resource": "" }
q2532
_numbered_style
train
def _numbered_style(): """Create a numbered list style.""" style = ListStyle(name='_numbered_list') lls = ListLevelStyleNumber(level=1) lls.setAttribute('displaylevels', 1) lls.setAttribute('numsuffix', '. ') lls.setAttribute('numformat', '1') llp = ListLevelProperties() llp.setAttri...
python
{ "resource": "" }
q2533
_create_style
train
def _create_style(name, family=None, **kwargs): """Helper function for creating a new style.""" if family == 'paragraph' and 'marginbottom' not in kwargs: kwargs['marginbottom'] = '.5cm' style = Style(name=name, family=family) # Extract paragraph properties. kwargs_par = {} keys = sorted...
python
{ "resource": "" }
q2534
default_styles
train
def default_styles(): """Generate default ODF styles.""" styles = {} def _add_style(name, **kwargs): styles[name] = _create_style(name, **kwargs) _add_style('heading-1', family='paragraph', fontsize='24pt', fontweight='bold', ) _...
python
{ "resource": "" }
q2535
load_styles
train
def load_styles(path_or_doc): """Return a dictionary of all styles contained in an ODF document.""" if isinstance(path_or_doc, string_types): doc = load(path_or_doc) else: # Recover the OpenDocumentText instance. if isinstance(path_or_doc, ODFDocument): doc = path_or_doc....
python
{ "resource": "" }
q2536
_item_type
train
def _item_type(item): """Indicate to the ODF reader the type of the block or text.""" tag = item['tag'] style = item.get('style', None) if tag == 'p': if style is None or 'paragraph' in style: return 'paragraph' else: return style elif tag == 'span': i...
python
{ "resource": "" }
q2537
ODFDocument.add_styles
train
def add_styles(self, **styles): """Add ODF styles to the current document.""" for stylename in sorted(styles): self._doc.styles.addElement(styles[stylename])
python
{ "resource": "" }
q2538
ODFDocument._add_element
train
def _add_element(self, cls, **kwargs): """Add an element.""" # Convert stylename strings to actual style elements. kwargs = self._replace_stylename(kwargs) el = cls(**kwargs) self._doc.text.addElement(el)
python
{ "resource": "" }
q2539
ODFDocument._style_name
train
def _style_name(self, el): """Return the style name of an element.""" if el.attributes is None: return None style_field = ('urn:oasis:names:tc:opendocument:xmlns:text:1.0', 'style-name') name = el.attributes.get(style_field, None) if not name: ...
python
{ "resource": "" }
q2540
ODFDocument.start_container
train
def start_container(self, cls, **kwargs): """Append a new container.""" # Convert stylename strings to actual style elements. kwargs = self._replace_stylename(kwargs) # Create the container. container = cls(**kwargs) self._containers.append(container)
python
{ "resource": "" }
q2541
ODFDocument.end_container
train
def end_container(self, cancel=None): """Finishes and registers the currently-active container, unless 'cancel' is True.""" if not self._containers: return container = self._containers.pop() if len(self._containers) >= 1: parent = self._containers[-1] ...
python
{ "resource": "" }
q2542
ODFDocument.container
train
def container(self, cls, **kwargs): """Container context manager.""" self.start_container(cls, **kwargs) yield self.end_container()
python
{ "resource": "" }
q2543
ODFDocument.start_paragraph
train
def start_paragraph(self, stylename=None): """Start a new paragraph.""" # Use the next paragraph style if one was set. if stylename is None: stylename = self._next_p_style or 'normal-paragraph' self.start_container(P, stylename=stylename)
python
{ "resource": "" }
q2544
ODFDocument.require_paragraph
train
def require_paragraph(self): """Create a new paragraph unless the currently-active container is already a paragraph.""" if self._containers and _is_paragraph(self._containers[-1]): return False else: self.start_paragraph() return True
python
{ "resource": "" }
q2545
ODFDocument._code_line
train
def _code_line(self, line): """Add a code line.""" assert self._containers container = self._containers[-1] # Handle extra spaces. text = line while text: if text.startswith(' '): r = re.match(r'(^ +)', text) n = len(r.group(1)...
python
{ "resource": "" }
q2546
ODFDocument.code
train
def code(self, text, lang=None): """Add a code block.""" # WARNING: lang is discarded currently. with self.paragraph(stylename='code'): lines = text.splitlines() for line in lines[:-1]: self._code_line(line) self.linebreak() sel...
python
{ "resource": "" }
q2547
ODFDocument.start_numbered_list
train
def start_numbered_list(self): """Start a numbered list.""" self._ordered = True self.start_container(List, stylename='_numbered_list') self.set_next_paragraph_style('numbered-list-paragraph' if self._item_level <= 0 ...
python
{ "resource": "" }
q2548
ODFDocument.start_list
train
def start_list(self): """Start a list.""" self._ordered = False self.start_container(List) self.set_next_paragraph_style('list-paragraph' if self._item_level <= 0 else 'sublist-paragraph')
python
{ "resource": "" }
q2549
ODFDocument.text
train
def text(self, text, stylename=None): """Add text within the current container.""" assert self._containers container = self._containers[-1] if stylename is not None: stylename = self._get_style_name(stylename) container.addElement(Span(stylename=stylename, text=te...
python
{ "resource": "" }
q2550
_cell_output
train
def _cell_output(cell): """Return the output of an ipynb cell.""" outputs = cell.get('outputs', []) # Add stdout. stdout = ('\n'.join(_ensure_string(output.get('text', '')) for output in outputs)).rstrip() # Add text output. text_outputs = [] for output in outputs: ...
python
{ "resource": "" }
q2551
FireTV._dump
train
def _dump(self, service, grep=None): """Perform a service dump. :param service: Service to dump. :param grep: Grep for this string. :returns: Dump, optionally grepped. """ if grep: return self.adb_shell('dumpsys {0} | grep "{1}"'.format(service, grep)) ...
python
{ "resource": "" }
q2552
FireTV._dump_has
train
def _dump_has(self, service, grep, search): """Check if a dump has particular content. :param service: Service to dump. :param grep: Grep for this string. :param search: Check for this substring. :returns: Found or not. """ dump_grep = self._dump(service, grep=gr...
python
{ "resource": "" }
q2553
FireTV._ps
train
def _ps(self, search=''): """Perform a ps command with optional filtering. :param search: Check for this substring. :returns: List of matching fields """ if not self.available: return result = [] ps = self.adb_streaming_shell('ps') try: ...
python
{ "resource": "" }
q2554
FireTV.connect
train
def connect(self, always_log_errors=True): """Connect to an Amazon Fire TV device. Will attempt to establish ADB connection to the given host. Failure sets state to UNKNOWN and disables sending actions. :returns: True if successful, False otherwise """ self._adb_lock.ac...
python
{ "resource": "" }
q2555
FireTV.update
train
def update(self, get_running_apps=True): """Get the state of the device, the current app, and the running apps. :param get_running_apps: whether or not to get the ``running_apps`` property :return state: the state of the device :return current_app: the current app :return runnin...
python
{ "resource": "" }
q2556
FireTV.app_state
train
def app_state(self, app): """Informs if application is running.""" if not self.available or not self.screen_on: return STATE_OFF if self.current_app["package"] == app: return STATE_ON return STATE_OFF
python
{ "resource": "" }
q2557
FireTV.state
train
def state(self): """Compute and return the device state. :returns: Device state. """ # Check if device is disconnected. if not self.available: return STATE_UNKNOWN # Check if device is off. if not self.screen_on: return STATE_OFF #...
python
{ "resource": "" }
q2558
FireTV.available
train
def available(self): """Check whether the ADB connection is intact.""" if not self.adb_server_ip: # python-adb return bool(self._adb) # pure-python-adb try: # make sure the server is available adb_devices = self._adb_client.devices() ...
python
{ "resource": "" }
q2559
FireTV.running_apps
train
def running_apps(self): """Return a list of running user applications.""" ps = self.adb_shell(RUNNING_APPS_CMD) if ps: return [line.strip().rsplit(' ', 1)[-1] for line in ps.splitlines() if line.strip()] return []
python
{ "resource": "" }
q2560
FireTV.current_app
train
def current_app(self): """Return the current app.""" current_focus = self.adb_shell(CURRENT_APP_CMD) if current_focus is None: return None current_focus = current_focus.replace("\r", "") matches = WINDOW_REGEX.search(current_focus) # case 1: current app was ...
python
{ "resource": "" }
q2561
FireTV.wake_lock_size
train
def wake_lock_size(self): """Get the size of the current wake lock.""" output = self.adb_shell(WAKE_LOCK_SIZE_CMD) if not output: return None return int(output.split("=")[1].strip())
python
{ "resource": "" }
q2562
FireTV.get_properties
train
def get_properties(self, get_running_apps=True, lazy=False): """Get the ``screen_on``, ``awake``, ``wake_lock_size``, ``current_app``, and ``running_apps`` properties.""" if get_running_apps: output = self.adb_shell(SCREEN_ON_CMD + (SUCCESS1 if lazy else SUCCESS1_FAILURE0) + " && " + ...
python
{ "resource": "" }
q2563
is_valid_device_id
train
def is_valid_device_id(device_id): """ Check if device identifier is valid. A valid device identifier contains only ascii word characters or dashes. :param device_id: Device identifier :returns: Valid or not. """ valid = valid_device_id.match(device_id) if not valid: logging.error(...
python
{ "resource": "" }
q2564
add
train
def add(device_id, host, adbkey='', adb_server_ip='', adb_server_port=5037): """ Add a device. Creates FireTV instance associated with device identifier. :param device_id: Device identifier. :param host: Host in <address>:<port> format. :param adbkey: The path to the "adbkey" file :param adb_s...
python
{ "resource": "" }
q2565
add_device
train
def add_device(): """ Add a device via HTTP POST. POST JSON in the following format :: { "device_id": "<your_device_id>", "host": "<address>:<port>", "adbkey": "<path to the adbkey file>" } """ req = request.get_json() success = False if 'de...
python
{ "resource": "" }
q2566
list_devices
train
def list_devices(): """ List devices via HTTP GET. """ output = {} for device_id, device in devices.items(): output[device_id] = { 'host': device.host, 'state': device.state } return jsonify(devices=output)
python
{ "resource": "" }
q2567
device_state
train
def device_state(device_id): """ Get device state via HTTP GET. """ if device_id not in devices: return jsonify(success=False) return jsonify(state=devices[device_id].state)
python
{ "resource": "" }
q2568
current_app
train
def current_app(device_id): """ Get currently running app. """ if not is_valid_device_id(device_id): abort(403) if device_id not in devices: abort(404) current = devices[device_id].current_app if current is None: abort(404) return jsonify(current_app=current)
python
{ "resource": "" }
q2569
running_apps
train
def running_apps(device_id): """ Get running apps via HTTP GET. """ if not is_valid_device_id(device_id): abort(403) if device_id not in devices: abort(404) return jsonify(running_apps=devices[device_id].running_apps)
python
{ "resource": "" }
q2570
get_app_state
train
def get_app_state(device_id, app_id): """ Get the state of the requested app """ if not is_valid_app_id(app_id): abort(403) if not is_valid_device_id(device_id): abort(403) if device_id not in devices: abort(404) app_state = devices[device_id].app_state(app_id) return jso...
python
{ "resource": "" }
q2571
device_action
train
def device_action(device_id, action_id): """ Initiate device action via HTTP GET. """ success = False if device_id in devices: input_cmd = getattr(devices[device_id], action_id, None) if callable(input_cmd): input_cmd() success = True return jsonify(success=succes...
python
{ "resource": "" }
q2572
app_start
train
def app_start(device_id, app_id): """ Starts an app with corresponding package name""" if not is_valid_app_id(app_id): abort(403) if not is_valid_device_id(device_id): abort(403) if device_id not in devices: abort(404) success = devices[device_id].launch_app(app_id) retu...
python
{ "resource": "" }
q2573
app_stop
train
def app_stop(device_id, app_id): """ stops an app with corresponding package name""" if not is_valid_app_id(app_id): abort(403) if not is_valid_device_id(device_id): abort(403) if device_id not in devices: abort(404) success = devices[device_id].stop_app(app_id) return j...
python
{ "resource": "" }
q2574
device_connect
train
def device_connect(device_id): """ Force a connection attempt via HTTP GET. """ success = False if device_id in devices: devices[device_id].connect() success = True return jsonify(success=success)
python
{ "resource": "" }
q2575
_parse_config
train
def _parse_config(config_file_path): """ Parse Config File from yaml file. """ config_file = open(config_file_path, 'r') config = yaml.load(config_file) config_file.close() return config
python
{ "resource": "" }
q2576
_add_devices_from_config
train
def _add_devices_from_config(args): """ Add devices from config. """ config = _parse_config(args.config) for device in config['devices']: if args.default: if device == "default": raise ValueError('devicename "default" in config is not allowed if default param is set') ...
python
{ "resource": "" }
q2577
main
train
def main(): """ Set up the server. """ parser = argparse.ArgumentParser(description='AFTV Server') parser.add_argument('-p', '--port', type=int, help='listen port', default=5556) parser.add_argument('-d', '--default', help='default Amazon Fire TV host', nargs='?') parser.add_argument('-c', '--config...
python
{ "resource": "" }
q2578
ProfanityFilter._load_words
train
def _load_words(self): """Loads the list of profane words from file.""" with open(self._words_file, 'r') as f: self._censor_list = [line.strip() for line in f.readlines()]
python
{ "resource": "" }
q2579
ProfanityFilter.get_profane_words
train
def get_profane_words(self): """Returns all profane words currently in use.""" profane_words = [] if self._custom_censor_list: profane_words = [w for w in self._custom_censor_list] # Previous versions of Python don't have list.copy() else: profane_words = [w for...
python
{ "resource": "" }
q2580
ProfanityFilter.censor
train
def censor(self, input_text): """Returns input_text with any profane words censored.""" bad_words = self.get_profane_words() res = input_text for word in bad_words: # Apply word boundaries to the bad word regex_string = r'{0}' if self._no_word_boundaries else r'\...
python
{ "resource": "" }
q2581
SMB2NetworkInterfaceInfo.unpack_multiple
train
def unpack_multiple(data): """ Get's a list of SMB2NetworkInterfaceInfo messages from the byte value passed in. This is the raw buffer value that is set on the SMB2IOCTLResponse message. :param data: bytes of the messages :return: List of SMB2NetworkInterfaceInfo message...
python
{ "resource": "" }
q2582
CreateContextName.get_response_structure
train
def get_response_structure(name): """ Returns the response structure for a know list of create context responses. :param name: The constant value above :return: The response structure or None if unknown """ return { CreateContextName.SMB2_CREATE_DURAB...
python
{ "resource": "" }
q2583
SMB2CreateContextRequest.get_context_data
train
def get_context_data(self): """ Get the buffer_data value of a context response and try to convert it to the relevant structure based on the buffer_name used. If it is an unknown structure then the raw bytes are returned. :return: relevant Structure of buffer_data or bytes if un...
python
{ "resource": "" }
q2584
SMB2CreateEABuffer.pack_multiple
train
def pack_multiple(messages): """ Converts a list of SMB2CreateEABuffer structures and packs them as a bytes object used when setting to the SMB2CreateContextRequest buffer_data field. This should be used as it would calculate the correct next_entry_offset field value for each buf...
python
{ "resource": "" }
q2585
TreeConnect.connect
train
def connect(self, require_secure_negotiate=True): """ Connect to the share. :param require_secure_negotiate: For Dialects 3.0 and 3.0.2, will verify the negotiation parameters with the server to prevent SMB downgrade attacks """ log.info("Session: %s - Cr...
python
{ "resource": "" }
q2586
TreeConnect.disconnect
train
def disconnect(self): """ Disconnects the tree connection. """ if not self._connected: return log.info("Session: %s, Tree: %s - Disconnecting from Tree Connect" % (self.session.username, self.share_name)) req = SMB2TreeDisconnect() l...
python
{ "resource": "" }
q2587
Connection.disconnect
train
def disconnect(self, close=True): """ Closes the connection as well as logs off any of the Disconnects the TCP connection and shuts down the socket listener running in a thread. :param close: Will close all sessions in the connection as well as the tree connections o...
python
{ "resource": "" }
q2588
Connection.send
train
def send(self, message, sid=None, tid=None, credit_request=None): """ Will send a message to the server that is passed in. The final unencrypted header is returned to the function that called this. :param message: An SMB message structure to send :param sid: A session_id that th...
python
{ "resource": "" }
q2589
Connection.send_compound
train
def send_compound(self, messages, sid, tid, related=False): """ Sends multiple messages within 1 TCP request, will fail if the size of the total length exceeds the maximum of the transport max. :param messages: A list of messages to send to the server :param sid: The session_id ...
python
{ "resource": "" }
q2590
Connection.receive
train
def receive(self, request, wait=True, timeout=None): """ Polls the message buffer of the TCP connection and waits until a valid message is received based on the message_id passed in. :param request: The Request object to wait get the response for :param wait: Wait for the final ...
python
{ "resource": "" }
q2591
Connection.echo
train
def echo(self, sid=0, timeout=60, credit_request=1): """ Sends an SMB2 Echo request to the server. This can be used to request more credits from the server with the credit_request param. On a Samba server, the sid can be 0 but for a Windows SMB Server, the sid of an authenticate...
python
{ "resource": "" }
q2592
Connection._flush_message_buffer
train
def _flush_message_buffer(self): """ Loops through the transport message_buffer until there are no messages left in the queue. Each response is assigned to the Request object based on the message_id which are then available in self.outstanding_requests """ while T...
python
{ "resource": "" }
q2593
Connection._calculate_credit_charge
train
def _calculate_credit_charge(self, message): """ Calculates the credit charge for a request based on the command. If connection.supports_multi_credit is not True then the credit charge isn't valid so it returns 0. The credit charge is the number of credits that are required for ...
python
{ "resource": "" }
q2594
Session.disconnect
train
def disconnect(self, close=True): """ Logs off the session :param close: Will close all tree connects in a session """ if not self._connected: # already disconnected so let's return return if close: for open in list(self.open_table.va...
python
{ "resource": "" }
q2595
Field.pack
train
def pack(self): """ Packs the field value into a byte string so it can be sent to the server. :param structure: The message structure class object :return: A byte string of the packed field's value """ value = self._get_calculated_value(self.value) packed...
python
{ "resource": "" }
q2596
Field.set_value
train
def set_value(self, value): """ Parses, and sets the value attribute for the field. :param value: The value to be parsed and set, the allowed input types vary depending on the Field used """ parsed_value = self._parse_value(value) self.value = parsed_value
python
{ "resource": "" }
q2597
Field.unpack
train
def unpack(self, data): """ Takes in a byte string and set's the field value based on field definition. :param structure: The message structure class object :param data: The byte string of the data to unpack :return: The remaining data for subsequent fields """ ...
python
{ "resource": "" }
q2598
Field._get_calculated_value
train
def _get_calculated_value(self, value): """ Get's the final value of the field and runs the lambda functions recursively until a final value is derived. :param value: The value to calculate/expand :return: The final value """ if isinstance(value, types.LambdaType...
python
{ "resource": "" }
q2599
Field._get_struct_format
train
def _get_struct_format(self, size): """ Get's the format specified for use in struct. This is only designed for 1, 2, 4, or 8 byte values and will throw an exception if it is anything else. :param size: The size as an int :return: The struct format specifier for the size...
python
{ "resource": "" }