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value | url stringlengths 87 315 | code_tokens listlengths 19 28.4k | sha stringlengths 40 40 |
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train | Worker._handle_sigusr2 | Drop current task. | kuyruk/worker.py | def _handle_sigusr2(self, signum: int, frame: Any) -> None:
"""Drop current task."""
logger.warning("Catched SIGUSR2")
if self.current_task:
logger.warning("Dropping current task...")
raise Discard | def _handle_sigusr2(self, signum: int, frame: Any) -> None:
"""Drop current task."""
logger.warning("Catched SIGUSR2")
if self.current_task:
logger.warning("Dropping current task...")
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train | configuration_get_default_folder | Return the default folder where user-specific data is stored.
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:return: path to the user-specific configuration data folder | subdownloader/client/configuration.py | def configuration_get_default_folder():
"""
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train | Language.from_locale | Create a new Language instance from a locale string
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train | Language.from_xx | Create a new Language instance from a ISO639 string
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train | Language.from_xxx | Create a new Language instance from a LanguageID string
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train | Language.from_name | Create a new Language instance from a name as string
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"""
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Create a new Language instance from a name as string
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train | Language._from_xyz | Private helper function to create new Language instance.
:param xyzkey: one of ('locale', 'ISO639', 'LanguageID', 'LanguageName')
:param xyzvalue: corresponding value of xyzkey
:return: Language instance | subdownloader/languages/language.py | def _from_xyz(cls, xyzkey, xyzvalue):
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train | Language.from_unknown | Try to create a Language instance having only some limited data about the Language.
If no corresponding Language is found, a NotALanguageException is thrown.
:param value: data known about the language as string
:param xx: True if the value may be a locale
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Try to create a Language instance having only some limited data about the Language.
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train | Language.from_file | Try do determine the language of a text file.
:param filepath: string file path
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:return: Language instance if detection succeeded, otherwise return UnknownLanguage | subdownloader/languages/language.py | def from_file(cls, filepath, chunk_size=None):
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Try do determine the language of a text file.
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train | SearchFileWidget.onFolderTreeClicked | What to do when a Folder in the tree is clicked | subdownloader/client/gui/searchFileWidget.py | def onFolderTreeClicked(self, proxyIndex):
"""What to do when a Folder in the tree is clicked"""
if not proxyIndex.isValid():
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index = self.proxyFileModel.mapToSource(proxyIndex)
settings = QSettings()
folder_path = self.fileModel.filePath(index)
settin... | def onFolderTreeClicked(self, proxyIndex):
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train | Task.send_to_queue | Sends a message to the queue.
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:param kwargs: Keyword arguments that will be passed to task
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:param host: Send this task to specif... | kuyruk/task.py | def send_to_queue(
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host: str=None,
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message_ttl: Union[int, float]=None,
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"""
Sends a message to the queue.
A worker will run ... | def send_to_queue(
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host: str=None,
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message_ttl: Union[int, float]=None,
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train | Task._get_description | Return the dictionary to be sent to the queue. | kuyruk/task.py | def _get_description(self, args: Tuple, kwargs: Dict[str, Any]) -> Dict[str, Any]:
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If task has a `max_run_time` property the task will not be allowed to
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without sending to the queue.
If task has a `retry` property it will be retried on failure.
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train | Task._module_name | Module name of the wrapped function. | kuyruk/task.py | def _module_name(self) -> str:
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train | i18n_install | Install internationalization support for the clients using the specified locale.
If there is no support for the locale, the default locale will be used.
As last resort, a null translator will be installed.
:param lc: locale to install. If None, the system default locale will be used. | subdownloader/client/internationalization.py | def i18n_install(lc=None):
"""
Install internationalization support for the clients using the specified locale.
If there is no support for the locale, the default locale will be used.
As last resort, a null translator will be installed.
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"""
Install internationalization support for the clients using the specified locale.
If there is no support for the locale, the default locale will be used.
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"""
Return the system locale
:return: the system locale (as a string)
"""
log.debug('i18n_system_locale() called')
lc, encoding = locale.getlocale()
log.debug('locale.getlocale() = (lc="{lc}", encoding="{encoding}).'.format(lc=lc, encoding=encoding))
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"""
Return the system locale
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log.debug('i18n_system_locale() called')
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train | i18n_locale_fallbacks_calculate | Calculate all child locales from a locale.
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:param lc: locale for which the child locales are needed
:return: all child locales (including the parameter lc) | subdownloader/client/internationalization.py | def i18n_locale_fallbacks_calculate(lc):
"""
Calculate all child locales from a locale.
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:return: all child locales (including the parameter lc)
"""
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train | i18n_support_locale | Find out whether lc is supported. Returns all child locales (and eventually lc) which do have support.
:param lc_parent: Locale for which we want to know the child locales that are supported
:return: list of supported locales | subdownloader/client/internationalization.py | def i18n_support_locale(lc_parent):
"""
Find out whether lc is supported. Returns all child locales (and eventually lc) which do have support.
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train | i18n_get_path | Get path to the internationalization data.
:return: path as a string | subdownloader/client/internationalization.py | def i18n_get_path():
"""
Get path to the internationalization data.
:return: path as a string
"""
local_locale_path = client_get_path() / 'locale'
if platform.system() == 'Linux':
if local_locale_path.exists():
return local_locale_path
else:
return Path('/... | def i18n_get_path():
"""
Get path to the internationalization data.
:return: path as a string
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if platform.system() == 'Linux':
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train | i18n_get_supported_locales | List all locales that have internationalization data for this program
:return: List of locales | subdownloader/client/internationalization.py | def i18n_get_supported_locales():
"""
List all locales that have internationalization data for this program
:return: List of locales
"""
locale_path = i18n_get_path()
log.debug('Scanning translation files .mo in locale path: {}'.format(locale_path))
langs = []
mo_file = '{project}.mo'.fo... | def i18n_get_supported_locales():
"""
List all locales that have internationalization data for this program
:return: List of locales
"""
locale_path = i18n_get_path()
log.debug('Scanning translation files .mo in locale path: {}'.format(locale_path))
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train | Config.from_object | Load values from an object. | kuyruk/config.py | def from_object(self, obj: Union[str, Any]) -> None:
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train | Config.from_dict | Load values from a dict. | kuyruk/config.py | def from_dict(self, d: Dict[str, Any]) -> None:
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train | Config.from_pyfile | Load values from a Python file. | kuyruk/config.py | def from_pyfile(self, filename: str) -> None:
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train | Config.from_env_vars | Load values from environment variables.
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train | option | Context manager for temporarily setting a keyword argument and
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Context manager for temporarily setting a keyword argument and
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Context manager for temporarily setting a keyword argument and
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train | is_loop_helper | Returns True is node is a loop helper e.g. {{ loop.index }} or {{ loop.first }} | jinja_to_js/__init__.py | def is_loop_helper(node):
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Returns the generated JavaScript code.
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str
"""
# generate the JS function string
template_function = TEMPLATE_WRAPPER.format(
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"""
Returns the generated JavaScript code.
Returns:
str
"""
# generate the JS function string
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function_name=self.js_function_name,
template_code=self.output.getvalue()
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train | JinjaToJS._get_depencency_var_name | Returns the variable name assigned to the given dependency or None if the dependency has
not yet been registered.
Args:
dependency (str): Thet dependency that needs to be imported.
Returns:
str or None | jinja_to_js/__init__.py | def _get_depencency_var_name(self, dependency):
"""
Returns the variable name assigned to the given dependency or None if the dependency has
not yet been registered.
Args:
dependency (str): Thet dependency that needs to be imported.
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dependency (str): Thet dependency that needs to be imported.
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dependency (str):
var_name (str, optional):
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"""
Adds the given dependency and returns the variable name to use to access it. If `var_name`
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dependency (str):
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Adds the given dependency and returns the variable name to use to access it. If `var_name`
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train | JinjaToJS._process_extends | Processes an extends block e.g. `{% extends "some/template.jinja" %}` | jinja_to_js/__init__.py | def _process_extends(self, node, **kwargs):
"""
Processes an extends block e.g. `{% extends "some/template.jinja" %}`
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# find all the blocks in this template
for b in self.ast.find_all(nodes.Block):
# if not already in `child_blocks` then this is the first time a... | def _process_extends(self, node, **kwargs):
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Processes an extends block e.g. `{% extends "some/template.jinja" %}`
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# find all the blocks in this template
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train | JinjaToJS._process_block | Processes a block e.g. `{% block my_block %}{% endblock %}` | jinja_to_js/__init__.py | def _process_block(self, node, **kwargs):
"""
Processes a block e.g. `{% block my_block %}{% endblock %}`
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# check if this node already has a 'super_block' attribute
if not hasattr(node, 'super_block'):
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train | JinjaToJS._process_output | Processes an output node, which will contain things like `Name` and `TemplateData` nodes. | jinja_to_js/__init__.py | def _process_output(self, node, **kwargs):
"""
Processes an output node, which will contain things like `Name` and `TemplateData` nodes.
"""
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train | JinjaToJS._process_templatedata | Processes a `TemplateData` node, this is just a bit of as-is text
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Processes a `TemplateData` node, this is just a bit of as-is text
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"""
# escape double quotes
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# escape new lines
value = re.sub('\n', r'\\n... | def _process_templatedata(self, node, **_):
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Processes a `TemplateData` node, this is just a bit of as-is text
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train | JinjaToJS._process_name | Processes a `Name` node. Some examples of `Name` nodes:
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"""
Processes a `Name` node. Some examples of `Name` nodes:
{{ foo }} -> 'foo' is a Name
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{% if foo }} -> 'foo' is a Name
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with self._interpolation():
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train | JinjaToJS._process_getattr | Processes a `GetAttr` node. e.g. {{ foo.bar }} | jinja_to_js/__init__.py | def _process_getattr(self, node, **kwargs):
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Processes a `GetAttr` node. e.g. {{ foo.bar }}
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train | JinjaToJS._process_getitem | Processes a `GetItem` node e.g. {{ foo["bar"] }} | jinja_to_js/__init__.py | def _process_getitem(self, node, **kwargs):
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Processes a `GetItem` node e.g. {{ foo["bar"] }}
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train | JinjaToJS._process_for | Processes a for loop. e.g.
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{% %} | jinja_to_js/__init__.py | def _process_for(self, node, **kwargs):
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{% for key, value in somemap.items() %}
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"""
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train | JinjaToJS._process_if | Processes an if block e.g. `{% if foo %} do something {% endif %}` | jinja_to_js/__init__.py | def _process_if(self, node, execute_end=None, **kwargs):
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Processes an if block e.g. `{% if foo %} do something {% endif %}`
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train | JinjaToJS._process_math | Processes a math node e.g. `Div`, `Sub`, `Add`, `Mul` etc...
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Processes a math node e.g. `Div`, `Sub`, `Add`, `Mul` etc...
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"""
with self._interpolation():
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Processes a math node e.g. `Div`, `Sub`, `Add`, `Mul` etc...
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train | JinjaToJS._process_loop_helper | Processes a loop helper e.g. {{ loop.first }} or {{ loop.index }} | jinja_to_js/__init__.py | def _process_loop_helper(self, node, **kwargs):
"""
Processes a loop helper e.g. {{ loop.first }} or {{ loop.index }}
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if node.attr == LOOP_HELPER_INDEX:
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Processes a loop helper e.g. {{ loop.first }} or {{ loop.index }}
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if node.attr == LOOP_HELPER_INDEX:
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train | JinjaToJS._execution | Context manager for executing some JavaScript inside a template. | jinja_to_js/__init__.py | def _execution(self):
"""
Context manager for executing some JavaScript inside a template.
"""
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if self.state == STATE_DEFAULT:
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self.state = STATE_EXECUTING
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"""
Context manager for executing some JavaScript inside a template.
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Context manager for creating scoped variables defined by the nodes in `nodes_list`.
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train | download_raw | Download an url to a local file.
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:param local_path: path where the downloaded file should be saved
:param callback: instance of ProgressCallback
:return: True is succeeded | subdownloader/webutil.py | def download_raw(url, local_path, callback):
"""
Download an url to a local file.
:param url: url of the file to download
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:param callback: instance of ProgressCallback
:return: True is succeeded
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Download an url to a local file.
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train | RawDownloadProgress.get_report_hook | Return a callback function suitable for using reporthook argument of urllib(.request).urlretrieve
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"""
Return a callback function suitable for using reporthook argument of urllib(.request).urlretrieve
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"""
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Return a callback function suitable for using reporthook argument of urllib(.request).urlretrieve
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train | window_iterator | Instead of iterating element by element, get a number of elements at each iteration step.
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:param width: maximum number of elements to get in each iteration step
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train | ProgressCallback.set_range | Set a range.
The range is passed unchanged to the rangeChanged member function.
:param minimum: minimum value of the range (None if no percentage is required)
:param maximum: maximum value of the range (None if no percentage is required) | subdownloader/callback.py | def set_range(self, minimum, maximum):
"""
Set a range.
The range is passed unchanged to the rangeChanged member function.
:param minimum: minimum value of the range (None if no percentage is required)
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Set a range.
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train | ProgressCallback.get_child_progress | Create a new child ProgressCallback.
Minimum and maximum values of the child are mapped to parent_min and parent_max of this parent ProgressCallback.
:param parent_min: minimum value of the child is mapped to parent_min of this parent ProgressCallback
:param parent_max: maximum value of the chil... | subdownloader/callback.py | def get_child_progress(self, parent_min, parent_max):
"""
Create a new child ProgressCallback.
Minimum and maximum values of the child are mapped to parent_min and parent_max of this parent ProgressCallback.
:param parent_min: minimum value of the child is mapped to parent_min of this pa... | def get_child_progress(self, parent_min, parent_max):
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Create a new child ProgressCallback.
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train | ProgressCallback.update | Call this function to inform that an update is available.
This function does NOT call finish when value == maximum.
:param value: The current index/position of the action. (Should be, but must not be, in the range [min, max])
:param args: extra positional arguments to pass on
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"""
Call this function to inform that an update is available.
This function does NOT call finish when value == maximum.
:param value: The current index/position of the action. (Should be, but must not be, in the range [min, max])
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"""
Call this function to inform that an update is available.
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train | ProgressCallback.finish | Call this function to inform that the operation is finished.
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"""
Call this function to inform that the operation is finished.
:param args: extra positional arguments to pass on
:param kwargs: extra keyword arguments to pass on
"""
log.debug('finish(args={args}, kwargs={kwargs})'.format(args=args, ... | def finish(self, *args, **kwargs):
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Call this function to inform that the operation is finished.
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train | SubProgressCallback.on_update | Inform the parent of progress.
:param value: The value of this subprogresscallback
:param args: Extra positional arguments
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"""
Inform the parent of progress.
:param value: The value of this subprogresscallback
:param args: Extra positional arguments
:param kwargs: Extra keyword arguments
"""
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train | SDService._login | Login to the Server using username/password,
empty parameters means an anonymously login
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"""Login to the Server using username/password,
empty parameters means an anonymously login
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"""
self.log.debug("----------------")
self.log.debug("Logging in (username: %s)..." ... | def _login(self, username="", password=""):
"""Login to the Server using username/password,
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self.log.debug("----------------")
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train | SDService._logout | Logout from current session(token)
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"""Logout from current session(token)
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"""
self.log.debug("Logging out from session ID: %s" % self._token)
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... | def _logout(self):
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self.log.debug("Logging out from session ID: %s" % self._token)
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train | parse_arguments | Parse the program arguments.
:return: argparse.Namespace object with the parsed arguments | subdownloader/client/arguments.py | def parse_arguments(args=None):
"""
Parse the program arguments.
:return: argparse.Namespace object with the parsed arguments
"""
parser = get_argument_parser()
# Autocomplete arguments
autocomplete(parser)
ns = parser.parse_args(args=args)
return ArgumentSettings(
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"""
Parse the program arguments.
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parser = get_argument_parser()
# Autocomplete arguments
autocomplete(parser)
ns = parser.parse_args(args=args)
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train | get_argument_parser | Get a parser that is able to parse program arguments.
:return: instance of arparse.ArgumentParser | subdownloader/client/arguments.py | def get_argument_parser():
"""
Get a parser that is able to parse program arguments.
:return: instance of arparse.ArgumentParser
"""
parser = argparse.ArgumentParser(description=project.get_description(),
epilog=_('Visit us at {website}.').format(website=project.... | def get_argument_parser():
"""
Get a parser that is able to parse program arguments.
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train | Kuyruk.task | Wrap functions with this decorator to convert them to *tasks*.
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:param queue: Queue name for the tasks.
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Wrap functions with this decorator to convert them to *tasks*.
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Wrap functions with this decorator to convert them to *tasks*.
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train | Kuyruk.channel | Returns a new channel from a new connection as a context manager. | kuyruk/kuyruk.py | def channel(self) -> Iterator[amqp.Channel]:
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logger.info('Opened new channel')
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train | Kuyruk.connection | Returns a new connection as a context manager. | kuyruk/kuyruk.py | def connection(self) -> Iterator[amqp.Connection]:
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train | scan_videopath | Scan the videopath string for video files.
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:param callback: Instance of ProgressCallback
:param recursive: True if the scanning should happen recursive
:return: tuple with list of videos and list of subtitles (videos have matched subtitles) | subdownloader/filescan.py | def scan_videopath(videopath, callback, recursive=False):
"""
Scan the videopath string for video files.
:param videopath: Path object
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:param recursive: True if the scanning should happen recursive
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Scan the videopath string for video files.
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train | merge_path_subvideo | Merge subtitles into videos.
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Merge subtitles into videos.
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Merge subtitles into videos.
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Put the files in buckets according to extension_lists
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train | SubtitleFile.detect_language_filename | Detect the language of a subtitle filename
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"""
Detect the language of a subtitle filename
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"""
log.debug('detect_language(filename="{}") ...'.format(filename))
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Detect the language of a subtitle filename
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"""
Detect whether the filename of videofile matches with this SubtitleFile.
:param video: VideoFile instance
:return: True if match
"""
vid_fn = video.get_filename()
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vid_base... | def matches_video_filename(self, video):
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train | logging_file_install | Install logger that will write to file. If this function has already installed a handler, replace it.
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Install logger that will write to file. If this function has already installed a handler, replace it.
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"""
Install logger that will output to stderr. If this function ha already installed a handler, replace it.
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"""
Stanford CoreNLP uses the Java "writeDelimitedTo" function, which
writes the size (and offset) of the buffer before writing the object.
This function handles parsing this message starting from offset 0.
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train | to_text | Helper routine that converts a Sentence protobuf to a string from
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"""
Helper routine that converts a Sentence protobuf to a string from
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"""
text = ""
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text += tok.before
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train | SplashScreen.showMessage | Public method to show a message in the bottom part of the splashscreen.
@param message message to be shown (string or QString) | subdownloader/client/gui/splashScreen.py | def showMessage(self, message, *args):
"""
Public method to show a message in the bottom part of the splashscreen.
@param message message to be shown (string or QString)
"""
QSplashScreen.showMessage(
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"""
Public method to show a message in the bottom part of the splashscreen.
@param message message to be shown (string or QString)
"""
QSplashScreen.showMessage(
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train | PyMediaInfoParser.parse_path | Parse a video at filepath, using pymediainfo framework.
:param path: path of video to parse as string | subdownloader/metadata.py | def parse_path(path):
"""
Parse a video at filepath, using pymediainfo framework.
:param path: path of video to parse as string
"""
import pymediainfo
metadata = Metadata()
log.debug('pymediainfo: parsing "{path}" ...'.format(path=path))
parseRes = pymedi... | def parse_path(path):
"""
Parse a video at filepath, using pymediainfo framework.
:param path: path of video to parse as string
"""
import pymediainfo
metadata = Metadata()
log.debug('pymediainfo: parsing "{path}" ...'.format(path=path))
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train | VideoFile._read_metadata | Private function to read (if not read already) and store the metadata of the local VideoFile. | subdownloader/video2.py | def _read_metadata(self):
"""
Private function to read (if not read already) and store the metadata of the local VideoFile.
"""
if self._is_metadata_init():
return
try:
log.debug('Reading metadata of "{path}" ...'.format(path=self._filepath))
d... | def _read_metadata(self):
"""
Private function to read (if not read already) and store the metadata of the local VideoFile.
"""
if self._is_metadata_init():
return
try:
log.debug('Reading metadata of "{path}" ...'.format(path=self._filepath))
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train | VideoFile.get_size | Get size of this VideoFile in bytes
:return: size as integer | subdownloader/video2.py | def get_size(self):
"""
Get size of this VideoFile in bytes
:return: size as integer
"""
if self._size is None:
self._size = self._filepath.stat().st_size
return self._size | def get_size(self):
"""
Get size of this VideoFile in bytes
:return: size as integer
"""
if self._size is None:
self._size = self._filepath.stat().st_size
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train | VideoFile.get_osdb_hash | Get the hash of this local videofile
:return: hash as string | subdownloader/video2.py | def get_osdb_hash(self):
"""
Get the hash of this local videofile
:return: hash as string
"""
if self._osdb_hash is None:
self._osdb_hash = self._calculate_osdb_hash()
return self._osdb_hash | def get_osdb_hash(self):
"""
Get the hash of this local videofile
:return: hash as string
"""
if self._osdb_hash is None:
self._osdb_hash = self._calculate_osdb_hash()
return self._osdb_hash | [
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train | VideoFile._calculate_osdb_hash | Calculate OSDB (OpenSubtitleDataBase) hash of this VideoFile
:return: hash as string | subdownloader/video2.py | def _calculate_osdb_hash(self):
"""
Calculate OSDB (OpenSubtitleDataBase) hash of this VideoFile
:return: hash as string
"""
log.debug('_calculate_OSDB_hash() of "{path}" ...'.format(path=self._filepath))
f = self._filepath.open(mode='rb')
file_size = self.get_si... | def _calculate_osdb_hash(self):
"""
Calculate OSDB (OpenSubtitleDataBase) hash of this VideoFile
:return: hash as string
"""
log.debug('_calculate_OSDB_hash() of "{path}" ...'.format(path=self._filepath))
f = self._filepath.open(mode='rb')
file_size = self.get_si... | [
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train | import_module | Import module by it's name from following places in order:
- main module
- current working directory
- Python path | kuyruk/importer.py | def import_module(name: str) -> ModuleType:
"""Import module by it's name from following places in order:
- main module
- current working directory
- Python path
"""
logger.debug("Importing module: %s", name)
if name == main_module_name():
return main_module
return import... | def import_module(name: str) -> ModuleType:
"""Import module by it's name from following places in order:
- main module
- current working directory
- Python path
"""
logger.debug("Importing module: %s", name)
if name == main_module_name():
return main_module
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train | main_module_name | Returns main module and module name pair. | kuyruk/importer.py | def main_module_name() -> str:
"""Returns main module and module name pair."""
if not hasattr(main_module, '__file__'):
# running from interactive shell
return None
main_filename = os.path.basename(main_module.__file__)
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# running from interactive shell
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train | write_stream | Write the file-like src_file object to the string dest_path
:param src_file: file-like data to be written
:param destination_path: string of the destionation file | subdownloader/util.py | def write_stream(src_file, destination_path):
"""
Write the file-like src_file object to the string dest_path
:param src_file: file-like data to be written
:param destination_path: string of the destionation file
"""
with open(destination_path, 'wb') as destination_file:
shutil.copyfileo... | def write_stream(src_file, destination_path):
"""
Write the file-like src_file object to the string dest_path
:param src_file: file-like data to be written
:param destination_path: string of the destionation file
"""
with open(destination_path, 'wb') as destination_file:
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train | build_dirs | Build necessary directories based on a list of file paths | drench/switchboard.py | def build_dirs(files):
'''
Build necessary directories based on a list of file paths
'''
for i in files:
if type(i) is list:
build_dirs(i)
continue
else:
if len(i['path']) > 1:
addpath = os.path.join(os.getcwd(), *i['path'][:-1])
... | def build_dirs(files):
'''
Build necessary directories based on a list of file paths
'''
for i in files:
if type(i) is list:
build_dirs(i)
continue
else:
if len(i['path']) > 1:
addpath = os.path.join(os.getcwd(), *i['path'][:-1])
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train | get_want_file_pos | Ask the user which files in file_list he or she is interested in.
Return indices for the files inside file_list | drench/switchboard.py | def get_want_file_pos(file_list):
'''
Ask the user which files in file_list he or she is interested in.
Return indices for the files inside file_list
'''
want_file_pos = []
print '\nFiles contained:\n'
for i in file_list:
print(os.path.join(*i['path']))
while 1:
all_answe... | def get_want_file_pos(file_list):
'''
Ask the user which files in file_list he or she is interested in.
Return indices for the files inside file_list
'''
want_file_pos = []
print '\nFiles contained:\n'
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while 1:
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train | get_file_starts | Return the starting position (in bytes) of a list of files by
iteratively summing their lengths | drench/switchboard.py | def get_file_starts(file_list):
'''
Return the starting position (in bytes) of a list of files by
iteratively summing their lengths
'''
starts = []
total = 0
for i in file_list:
starts.append(total)
total += i['length']
print starts
return starts | def get_file_starts(file_list):
'''
Return the starting position (in bytes) of a list of files by
iteratively summing their lengths
'''
starts = []
total = 0
for i in file_list:
starts.append(total)
total += i['length']
print starts
return starts | [
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train | get_rightmost_index | Retrieve the highest-indexed file that starts at or before byte_index. | drench/switchboard.py | def get_rightmost_index(byte_index=0, file_starts=[0]):
'''
Retrieve the highest-indexed file that starts at or before byte_index.
'''
i = 1
while i <= len(file_starts):
start = file_starts[-i]
if start <= byte_index:
return len(file_starts) - i
else:
... | def get_rightmost_index(byte_index=0, file_starts=[0]):
'''
Retrieve the highest-indexed file that starts at or before byte_index.
'''
i = 1
while i <= len(file_starts):
start = file_starts[-i]
if start <= byte_index:
return len(file_starts) - i
else:
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train | Switchboard.get_next_want_file | Returns the leftmost file in the user's list of wanted files
(want_file_pos). If the first file it finds isn't in the list,
it will keep searching until the length of 'block' is exceeded. | drench/switchboard.py | def get_next_want_file(self, byte_index, block):
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Returns the leftmost file in the user's list of wanted files
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it will keep searching until the length of 'block' is exceeded.
'''
while block:
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Returns the leftmost file in the user's list of wanted files
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train | Switchboard.vis_init | Sends the state of the BTC at the time the visualizer connects,
initializing it. | drench/switchboard.py | def vis_init(self):
'''
Sends the state of the BTC at the time the visualizer connects,
initializing it.
'''
init_dict = {}
init_dict['kind'] = 'init'
assert len(self.want_file_pos) == len(self.heads_and_tails)
init_dict['want_file_pos'] = self.want_file_p... | def vis_init(self):
'''
Sends the state of the BTC at the time the visualizer connects,
initializing it.
'''
init_dict = {}
init_dict['kind'] = 'init'
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train | Switchboard.broadcast | Send to the visualizer (if there is one) or enqueue for later | drench/switchboard.py | def broadcast(self, data_dict):
'''
Send to the visualizer (if there is one) or enqueue for later
'''
if self.vis_socket:
self.queued_messages.append(data_dict)
self.send_all_updates() | def broadcast(self, data_dict):
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train | bencode | Turns a dictionary into a bencoded str with alphabetized keys
e.g., {'spam': 'eggs', 'cow': 'moo'} --> d3:cow3:moo4:spam4:eggse | drench/tparser.py | def bencode(canonical):
'''
Turns a dictionary into a bencoded str with alphabetized keys
e.g., {'spam': 'eggs', 'cow': 'moo'} --> d3:cow3:moo4:spam4:eggse
'''
in_dict = dict(canonical)
def encode_str(in_str):
out_str = str(len(in_str)) + ':' + in_str
return out_str
... | def bencode(canonical):
'''
Turns a dictionary into a bencoded str with alphabetized keys
e.g., {'spam': 'eggs', 'cow': 'moo'} --> d3:cow3:moo4:spam4:eggse
'''
in_dict = dict(canonical)
def encode_str(in_str):
out_str = str(len(in_str)) + ':' + in_str
return out_str
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train | bdecode | Bdecodes a bencoded string
e.g., d3:cow3:moo4:spam4:eggse -> {'cow': 'moo', 'spam': 'eggs'} | drench/tparser.py | def bdecode(bstring):
'''
Bdecodes a bencoded string
e.g., d3:cow3:moo4:spam4:eggse -> {'cow': 'moo', 'spam': 'eggs'}
'''
def get_val():
i = reader.next()
if i.isdigit():
str_len = get_len(i)
return get_str(str_len)
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re... | def bdecode(bstring):
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Bdecodes a bencoded string
e.g., d3:cow3:moo4:spam4:eggse -> {'cow': 'moo', 'spam': 'eggs'}
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def get_val():
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train | Torrent.build_payload | Builds the payload that will be sent in tracker_request | drench/drench.py | def build_payload(self):
'''
Builds the payload that will be sent in tracker_request
'''
payload = {}
hashed_info = hashlib.sha1(tparser.bencode(self.torrent_dict['info']))
self.hash_string = hashed_info.digest()
self.peer_id = ('-DR' + VERSION +
... | def build_payload(self):
'''
Builds the payload that will be sent in tracker_request
'''
payload = {}
hashed_info = hashlib.sha1(tparser.bencode(self.torrent_dict['info']))
self.hash_string = hashed_info.digest()
self.peer_id = ('-DR' + VERSION +
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train | Torrent.tracker_request | Sends the initial request to the tracker, compiling list of all peers
announcing to the tracker | drench/drench.py | def tracker_request(self):
'''
Sends the initial request to the tracker, compiling list of all peers
announcing to the tracker
'''
assert self.torrent_dict['info']
payload = self.build_payload()
if self.torrent_dict['announce'].startswith('udp'):
rai... | def tracker_request(self):
'''
Sends the initial request to the tracker, compiling list of all peers
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assert self.torrent_dict['info']
payload = self.build_payload()
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train | Torrent.get_peer_ips | Generates list of peer IPs from tracker response. Note: not all of
these IPs might be good, which is why we only init peer objects for
the subset that respond to handshake | drench/drench.py | def get_peer_ips(self):
'''
Generates list of peer IPs from tracker response. Note: not all of
these IPs might be good, which is why we only init peer objects for
the subset that respond to handshake
'''
presponse = [ord(i) for i in self.tracker_response['peers']]
... | def get_peer_ips(self):
'''
Generates list of peer IPs from tracker response. Note: not all of
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the subset that respond to handshake
'''
presponse = [ord(i) for i in self.tracker_response['peers']]
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train | Torrent.handshake_peers | pstrlen = length of pstr as one byte
pstr = BitTorrent protocol
reserved = chr(0)*8
info_hash = 20-byte hash above (aka self.hash_string)
peer_id = 20-byte string | drench/drench.py | def handshake_peers(self):
'''
pstrlen = length of pstr as one byte
pstr = BitTorrent protocol
reserved = chr(0)*8
info_hash = 20-byte hash above (aka self.hash_string)
peer_id = 20-byte string
'''
pstr = 'BitTorrent protocol'
pstrlen = len(pstr)
... | def handshake_peers(self):
'''
pstrlen = length of pstr as one byte
pstr = BitTorrent protocol
reserved = chr(0)*8
info_hash = 20-byte hash above (aka self.hash_string)
peer_id = 20-byte string
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pstr = 'BitTorrent protocol'
pstrlen = len(pstr)
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train | Torrent.initpeer | Creates a new peer object for a nvalid socket and adds it to reactor's
listen list | drench/drench.py | def initpeer(self, sock):
'''
Creates a new peer object for a nvalid socket and adds it to reactor's
listen list
'''
location_json = requests.request("GET", "http://freegeoip.net/json/"
+ sock.getpeername()[0]).content
location = j... | def initpeer(self, sock):
'''
Creates a new peer object for a nvalid socket and adds it to reactor's
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'''
location_json = requests.request("GET", "http://freegeoip.net/json/"
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train | Peer.read | Chain of events:
- process_input
- check save_state and read length, id, and message accordingly
- if we have a piece (really a block), we piece.save it out
inside call to ppiece
- If we've completed a piece we:
- Tell... | drench/peer.py | def read(self):
try:
bytes = self.sock.recv(self.max_size)
except:
self.torrent.kill_peer(self)
return
'''
Chain of events:
- process_input
- check save_state and read length, id, and message accordingly
- if we ... | def read(self):
try:
bytes = self.sock.recv(self.max_size)
except:
self.torrent.kill_peer(self)
return
'''
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train | Peer.ppiece | Process a piece that we've received from a peer, writing it out to
one or more files | drench/peer.py | def ppiece(self, content):
'''
Process a piece that we've received from a peer, writing it out to
one or more files
'''
piece_index, byte_begin = struct.unpack('!ii', content[0:8])
# TODO -- figure out a better way to catch this error.
# How is piece_index gettin... | def ppiece(self, content):
'''
Process a piece that we've received from a peer, writing it out to
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'''
piece_index, byte_begin = struct.unpack('!ii', content[0:8])
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train | DataStore.is_connected | Returns the connection status of the data store.
Returns:
bool: ``True`` if the data store is connected to the MongoDB server. | lightflow/models/datastore.py | def is_connected(self):
""" Returns the connection status of the data store.
Returns:
bool: ``True`` if the data store is connected to the MongoDB server.
"""
if self._client is not None:
try:
self._client.server_info()
except Connecti... | def is_connected(self):
""" Returns the connection status of the data store.
Returns:
bool: ``True`` if the data store is connected to the MongoDB server.
"""
if self._client is not None:
try:
self._client.server_info()
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train | DataStore.connect | Establishes a connection to the MongoDB server.
Use the MongoProxy library in order to automatically handle AutoReconnect
exceptions in a graceful and reliable way. | lightflow/models/datastore.py | def connect(self):
""" Establishes a connection to the MongoDB server.
Use the MongoProxy library in order to automatically handle AutoReconnect
exceptions in a graceful and reliable way.
"""
mongodb_args = {
'host': self.host,
'port': self.port,
... | def connect(self):
""" Establishes a connection to the MongoDB server.
Use the MongoProxy library in order to automatically handle AutoReconnect
exceptions in a graceful and reliable way.
"""
mongodb_args = {
'host': self.host,
'port': self.port,
... | [
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train | DataStore.exists | Checks whether a document with the specified workflow id already exists.
Args:
workflow_id (str): The workflow id that should be checked.
Raises:
DataStoreNotConnected: If the data store is not connected to the server.
Returns:
bool: ``True`` if a document ... | lightflow/models/datastore.py | def exists(self, workflow_id):
""" Checks whether a document with the specified workflow id already exists.
Args:
workflow_id (str): The workflow id that should be checked.
Raises:
DataStoreNotConnected: If the data store is not connected to the server.
Returns... | def exists(self, workflow_id):
""" Checks whether a document with the specified workflow id already exists.
Args:
workflow_id (str): The workflow id that should be checked.
Raises:
DataStoreNotConnected: If the data store is not connected to the server.
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train | DataStore.add | Adds a new document to the data store and returns its id.
Args:
payload (dict): Dictionary of initial data that should be stored
in the new document in the meta section.
Raises:
DataStoreNotConnected: If the data store is not connected to the server.
Re... | lightflow/models/datastore.py | def add(self, payload=None):
""" Adds a new document to the data store and returns its id.
Args:
payload (dict): Dictionary of initial data that should be stored
in the new document in the meta section.
Raises:
DataStoreNotConnected: If the data store is... | def add(self, payload=None):
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payload (dict): Dictionary of initial data that should be stored
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train | DataStore.remove | Removes a document specified by its id from the data store.
All associated GridFs documents are deleted as well.
Args:
workflow_id (str): The id of the document that represents a workflow run.
Raises:
DataStoreNotConnected: If the data store is not connected to the ser... | lightflow/models/datastore.py | def remove(self, workflow_id):
""" Removes a document specified by its id from the data store.
All associated GridFs documents are deleted as well.
Args:
workflow_id (str): The id of the document that represents a workflow run.
Raises:
DataStoreNotConnected: If... | def remove(self, workflow_id):
""" Removes a document specified by its id from the data store.
All associated GridFs documents are deleted as well.
Args:
workflow_id (str): The id of the document that represents a workflow run.
Raises:
DataStoreNotConnected: If... | [
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train | DataStore.get | Returns the document for the given workflow id.
Args:
workflow_id (str): The id of the document that represents a workflow run.
Raises:
DataStoreNotConnected: If the data store is not connected to the server.
Returns:
DataStoreDocument: The document for the... | lightflow/models/datastore.py | def get(self, workflow_id):
""" Returns the document for the given workflow id.
Args:
workflow_id (str): The id of the document that represents a workflow run.
Raises:
DataStoreNotConnected: If the data store is not connected to the server.
Returns:
... | def get(self, workflow_id):
""" Returns the document for the given workflow id.
Args:
workflow_id (str): The id of the document that represents a workflow run.
Raises:
DataStoreNotConnected: If the data store is not connected to the server.
Returns:
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