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tulir/mautrix-python | mautrix_appservice/intent_api.py | HTTPAPI.bot_intent | def bot_intent(self) -> "IntentAPI":
"""
Get the intent API for the appservice bot.
Returns:
The IntentAPI for the appservice bot.
"""
if not self._bot_intent:
self._bot_intent = IntentAPI(self.bot_mxid, self, state_store=self.state_store,
... | python | def bot_intent(self) -> "IntentAPI":
"""
Get the intent API for the appservice bot.
Returns:
The IntentAPI for the appservice bot.
"""
if not self._bot_intent:
self._bot_intent = IntentAPI(self.bot_mxid, self, state_store=self.state_store,
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tulir/mautrix-python | mautrix_appservice/intent_api.py | HTTPAPI.intent | def intent(self, user: str = None, token: Optional[str] = None) -> "IntentAPI":
"""
Get the intent API for a specific user.
Args:
user: The Matrix ID of the user whose intent API to get.
Returns:
The IntentAPI for the given user.
"""
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Get the intent API for a specific user.
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user: The Matrix ID of the user whose intent API to get.
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tulir/mautrix-python | mautrix_appservice/intent_api.py | HTTPAPI.request | def request(self, method: str, path: str, content: Optional[Union[dict, bytes, str]] = None,
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api_p... | python | def request(self, method: str, path: str, content: Optional[Union[dict, bytes, str]] = None,
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secnot/rectpack | rectpack/guillotine.py | Guillotine._add_section | def _add_section(self, section):
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secnot/rectpack | rectpack/enclose.py | Enclose._refine_candidate | def _refine_candidate(self, width, height):
"""
Use bottom-left packing algorithm to find a lower height for the
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Arguments:
width
height
Returns:
tuple (width, height, PackingAlgorithm):
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packer = newPacker(Pack... | python | def _refine_candidate(self, width, height):
"""
Use bottom-left packing algorithm to find a lower height for the
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Arguments:
width
height
Returns:
tuple (width, height, PackingAlgorithm):
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secnot/rectpack | rectpack/maxrects.py | MaxRects._generate_splits | def _generate_splits(self, m, r):
"""
When a rectangle is placed inside a maximal rectangle, it stops being one
and up to 4 new maximal rectangles may appear depending on the placement.
_generate_splits calculates them.
Arguments:
m (Rectangle): max_rect rectangle
... | python | def _generate_splits(self, m, r):
"""
When a rectangle is placed inside a maximal rectangle, it stops being one
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_generate_splits calculates them.
Arguments:
m (Rectangle): max_rect rectangle
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secnot/rectpack | rectpack/maxrects.py | MaxRects._remove_duplicates | def _remove_duplicates(self):
"""
Remove every maximal rectangle contained by another one.
"""
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... | python | def _remove_duplicates(self):
"""
Remove every maximal rectangle contained by another one.
"""
contained = set()
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if m1.contains(m2):
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secnot/rectpack | rectpack/maxrects.py | MaxRects.fitness | def fitness(self, width, height):
"""
Metric used to rate how much space is wasted if a rectangle is placed.
Returns a value greater or equal to zero, the smaller the value the more
'fit' is the rectangle. If the rectangle can't be placed, returns None.
Arguments:
... | python | def fitness(self, width, height):
"""
Metric used to rate how much space is wasted if a rectangle is placed.
Returns a value greater or equal to zero, the smaller the value the more
'fit' is the rectangle. If the rectangle can't be placed, returns None.
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secnot/rectpack | rectpack/maxrects.py | MaxRectsBl._select_position | def _select_position(self, w, h):
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secnot/rectpack | rectpack/pack_algo.py | PackingAlgorithm._fits_surface | def _fits_surface(self, width, height):
"""
Test surface is big enough to place a rectangle
Arguments:
width (int, float): Rectangle width
height (int, float): Rectangle height
Returns:
boolean: True if it could be placed, False otherwise
"""... | python | def _fits_surface(self, width, height):
"""
Test surface is big enough to place a rectangle
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width (int, float): Rectangle width
height (int, float): Rectangle height
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secnot/rectpack | rectpack/pack_algo.py | PackingAlgorithm.validate_packing | def validate_packing(self):
"""
Check for collisions between rectangles, also check all are placed
inside surface.
"""
surface = Rectangle(0, 0, self.width, self.height)
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if not surface.contains(r):
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"""
Check for collisions between rectangles, also check all are placed
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"""
surface = Rectangle(0, 0, self.width, self.height)
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secnot/rectpack | rectpack/waste.py | WasteManager.add_waste | def add_waste(self, x, y, width, height):
"""Add new waste section"""
self._add_section(Rectangle(x, y, width, height)) | python | def add_waste(self, x, y, width, height):
"""Add new waste section"""
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secnot/rectpack | rectpack/geometry.py | Point.distance | def distance(self, point):
"""
Calculate distance to another point
"""
return sqrt((self.x-point.x)**2+(self.y-point.y)**2) | python | def distance(self, point):
"""
Calculate distance to another point
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secnot/rectpack | rectpack/geometry.py | Rectangle.move | def move(self, x, y):
"""
Move Rectangle to x,y coordinates
Arguments:
x (int, float): X coordinate
y (int, float): Y coordinate
"""
self.x = x
self.y = y | python | def move(self, x, y):
"""
Move Rectangle to x,y coordinates
Arguments:
x (int, float): X coordinate
y (int, float): Y coordinate
"""
self.x = x
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secnot/rectpack | rectpack/geometry.py | Rectangle.contains | def contains(self, rect):
"""
Tests if another rectangle is contained by this one
Arguments:
rect (Rectangle): The other rectangle
Returns:
bool: True if it is container, False otherwise
"""
return (rect.y >= self.y and \
rect.x >... | python | def contains(self, rect):
"""
Tests if another rectangle is contained by this one
Arguments:
rect (Rectangle): The other rectangle
Returns:
bool: True if it is container, False otherwise
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secnot/rectpack | rectpack/geometry.py | Rectangle.intersects | def intersects(self, rect, edges=False):
"""
Detect intersections between this rectangle and rect.
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Detect intersections between this rectangle and rect.
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rect (Rectangle): Rectangle to test for intersections.
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other (Rectangle): Rectangle to join
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secnot/rectpack | rectpack/packer.py | newPacker | def newPacker(mode=PackingMode.Offline,
bin_algo=PackingBin.BBF,
pack_algo=MaxRectsBssf,
sort_algo=SORT_AREA,
rotation=True):
"""
Packer factory helper function
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mode (PackingMode): Packing mode
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bin_algo=PackingBin.BBF,
pack_algo=MaxRectsBssf,
sort_algo=SORT_AREA,
rotation=True):
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secnot/rectpack | rectpack/packer.py | PackerOnline._new_open_bin | def _new_open_bin(self, width=None, height=None, rid=None):
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PackingAlgorithm: Initialized empty packing bin.
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"""
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Extract the next empty bin and append it to open bins
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PackingAlgorithm: Initialized empty packing bin.
None: No bin big enough for the rectangle was found
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pbin (PackingAlgorithm): Packing bin
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key of the rectangle with best fitness
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pbin (PackingAlgorithm): Packing bin
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key of the rectangle with best fitness
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secnot/rectpack | rectpack/skyline.py | Skyline._placement_points_generator | def _placement_points_generator(self, skyline, width):
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secnot/rectpack | rectpack/skyline.py | Skyline._generate_placements | def _generate_placements(self, width, height):
"""
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Arguments:
skyline (list): SkylineHSegment list
width (number):
Returns:
tuple (Rectangle, fitness):
Rectangle: Rectangle in valid position
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"""
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skyline (list): SkylineHSegment list
width (number):
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tuple (Rectangle, fitness):
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secnot/rectpack | rectpack/skyline.py | Skyline._select_position | def _select_position(self, width, height):
"""
Search for the placement with the bes fitness for the rectangle.
Returns:
tuple (Rectangle, fitness) - Rectangle placed in the fittest position
None - Rectangle couldn't be placed
"""
positions = self._genera... | python | def _select_position(self, width, height):
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Search for the placement with the bes fitness for the rectangle.
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tuple (Rectangle, fitness) - Rectangle placed in the fittest position
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secnot/rectpack | rectpack/skyline.py | Skyline.fitness | def fitness(self, width, height):
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# If there is room in wasted space, FREE PACKING!!
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assert(width > 0 and height >0)
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secnot/rectpack | rectpack/skyline.py | Skyline.add_rect | def add_rect(self, width, height, rid=None):
"""
Add new rectangle
"""
assert(width > 0 and height > 0)
if width > max(self.width, self.height) or\
height > max(self.height, self.width):
return None
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Add new rectangle
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assert(width > 0 and height > 0)
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spotify/docker_interface | docker_interface/util.py | abspath | def abspath(path, ref=None):
"""
Create an absolute path.
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path : str
absolute or relative path with respect to `ref`
ref : str or None
reference path if `path` is relative
Returns
-------
path : str
absolute path
Raises
------
... | python | def abspath(path, ref=None):
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Parameters
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path : str
absolute or relative path with respect to `ref`
ref : str or None
reference path if `path` is relative
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path : str
absolute path
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path : str
absolute or relative path with respect to `ref`
ref : str or None
reference path if `path` is relative
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list : str
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path : str
absolute or relative path with respect to `ref`
ref : str or None
reference path if `path` is relative
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list : str
components of the path
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spotify/docker_interface | docker_interface/util.py | get_value | def get_value(instance, path, ref=None):
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instance : dict or list
instance from which to retrieve a value
path : str
path to retrieve a value from
ref : str or None
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instance from which to retrieve a value
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Pop the value from `instance` at the given `path`.
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instance : dict or list
instance from which to retrieve a value
path : str
path to retrieve a value from
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"""
Pop the value from `instance` at the given `path`.
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instance : dict or list
instance from which to retrieve a value
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spotify/docker_interface | docker_interface/util.py | merge | def merge(x, y):
"""
Merge two dictionaries and raise an error for inconsistencies.
Parameters
----------
x : dict
dictionary x
y : dict
dictionary y
Returns
-------
x : dict
merged dictionary
Raises
------
ValueError
if `x` and `y` are ... | python | def merge(x, y):
"""
Merge two dictionaries and raise an error for inconsistencies.
Parameters
----------
x : dict
dictionary x
y : dict
dictionary y
Returns
-------
x : dict
merged dictionary
Raises
------
ValueError
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spotify/docker_interface | docker_interface/util.py | set_default_from_schema | def set_default_from_schema(instance, schema):
"""
Populate default values on an `instance` given a `schema`.
Parameters
----------
instance : dict
instance to populate default values for
schema : dict
JSON schema with default values
Returns
-------
instance : dict
... | python | def set_default_from_schema(instance, schema):
"""
Populate default values on an `instance` given a `schema`.
Parameters
----------
instance : dict
instance to populate default values for
schema : dict
JSON schema with default values
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spotify/docker_interface | docker_interface/util.py | apply | def apply(instance, func, path=None):
"""
Apply `func` to all fundamental types of `instance`.
Parameters
----------
instance : dict
instance to apply functions to
func : callable
function with two arguments (instance, path) to apply to all fundamental types recursively
path... | python | def apply(instance, func, path=None):
"""
Apply `func` to all fundamental types of `instance`.
Parameters
----------
instance : dict
instance to apply functions to
func : callable
function with two arguments (instance, path) to apply to all fundamental types recursively
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spotify/docker_interface | docker_interface/util.py | get_free_port | def get_free_port(ports=None):
"""
Get a free port.
Parameters
----------
ports : iterable
ports to check (obtain a random port by default)
Returns
-------
port : int
a free port
"""
if ports is None:
with contextlib.closing(socket.socket(socket.AF_INET,... | python | def get_free_port(ports=None):
"""
Get a free port.
Parameters
----------
ports : iterable
ports to check (obtain a random port by default)
Returns
-------
port : int
a free port
"""
if ports is None:
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spotify/docker_interface | docker_interface/docker_interface.py | build_parameter_parts | def build_parameter_parts(configuration, *parameters):
"""
Construct command parts for one or more parameters.
Parameters
----------
configuration : dict
configuration
parameters : list
list of parameters to create command line arguments for
Yields
------
argument :... | python | def build_parameter_parts(configuration, *parameters):
"""
Construct command parts for one or more parameters.
Parameters
----------
configuration : dict
configuration
parameters : list
list of parameters to create command line arguments for
Yields
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spotify/docker_interface | docker_interface/docker_interface.py | build_dict_parameter_parts | def build_dict_parameter_parts(configuration, *parameters, **defaults):
"""
Construct command parts for one or more parameters, each of which constitutes an assignment of
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Parameters
----------
configuration : dict
configuration
parameters : list
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"""
Construct command parts for one or more parameters, each of which constitutes an assignment of
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Parameters
----------
configuration : dict
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spotify/docker_interface | docker_interface/docker_interface.py | build_docker_run_command | def build_docker_run_command(configuration):
"""
Translate a declarative docker `configuration` to a `docker run` command.
Parameters
----------
configuration : dict
configuration
Returns
-------
args : list
sequence of command line arguments to run a command in a conta... | python | def build_docker_run_command(configuration):
"""
Translate a declarative docker `configuration` to a `docker run` command.
Parameters
----------
configuration : dict
configuration
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-------
args : list
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spotify/docker_interface | docker_interface/docker_interface.py | build_docker_build_command | def build_docker_build_command(configuration):
"""
Translate a declarative docker `configuration` to a `docker build` command.
Parameters
----------
configuration : dict
configuration
Returns
-------
args : list
sequence of command line arguments to build an image
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"""
Translate a declarative docker `configuration` to a `docker build` command.
Parameters
----------
configuration : dict
configuration
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args : list
sequence of command line arguments to build an image
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spotify/docker_interface | docker_interface/plugins/base.py | Plugin.add_argument | def add_argument(self, parser, path, name=None, schema=None, **kwargs):
"""
Add an argument to the `parser` based on a schema definition.
Parameters
----------
parser : argparse.ArgumentParser
parser to add an argument to
path : str
path in the co... | python | def add_argument(self, parser, path, name=None, schema=None, **kwargs):
"""
Add an argument to the `parser` based on a schema definition.
Parameters
----------
parser : argparse.ArgumentParser
parser to add an argument to
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spotify/docker_interface | docker_interface/plugins/base.py | Plugin.apply | def apply(self, configuration, schema, args):
"""
Apply the plugin to the configuration.
Inheriting plugins should implement this method to add additional functionality.
Parameters
----------
configuration : dict
configuration
schema : dict
... | python | def apply(self, configuration, schema, args):
"""
Apply the plugin to the configuration.
Inheriting plugins should implement this method to add additional functionality.
Parameters
----------
configuration : dict
configuration
schema : dict
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spotify/docker_interface | docker_interface/plugins/base.py | Plugin.load_plugins | def load_plugins():
"""
Load all availabe plugins.
Returns
-------
plugin_cls : dict
mapping from plugin names to plugin classes
"""
plugin_cls = {}
for entry_point in pkg_resources.iter_entry_points('docker_interface.plugins'):
cl... | python | def load_plugins():
"""
Load all availabe plugins.
Returns
-------
plugin_cls : dict
mapping from plugin names to plugin classes
"""
plugin_cls = {}
for entry_point in pkg_resources.iter_entry_points('docker_interface.plugins'):
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spotify/docker_interface | docker_interface/plugins/base.py | SubstitutionPlugin.substitute_variables | def substitute_variables(cls, configuration, value, ref):
"""
Substitute variables in `value` from `configuration` where any path reference is relative to
`ref`.
Parameters
----------
configuration : dict
configuration (required to resolve intra-document refe... | python | def substitute_variables(cls, configuration, value, ref):
"""
Substitute variables in `value` from `configuration` where any path reference is relative to
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Parameters
----------
configuration : dict
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spotify/docker_interface | docker_interface/plugins/user.py | UserPlugin.get_user_group | def get_user_group(self, user=None, group=None):
"""
Get the user and group information.
Parameters
----------
user : str
User name or user id (default is the `os.getuid()`).
group : str
Group name or group id (default is the group of `user`).
... | python | def get_user_group(self, user=None, group=None):
"""
Get the user and group information.
Parameters
----------
user : str
User name or user id (default is the `os.getuid()`).
group : str
Group name or group id (default is the group of `user`).
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git-afsantos/bonsai | bonsai/model.py | pretty_str | def pretty_str(something, indent=0):
"""Return a human-readable string representation of an object.
Uses `pretty_str` if the given value is an instance of
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Args:
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indent (int): The amount of spaces ... | python | def pretty_str(something, indent=0):
"""Return a human-readable string representation of an object.
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something: Some value to convert.
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git-afsantos/bonsai | bonsai/model.py | CodeEntity.walk_preorder | def walk_preorder(self):
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yield descendant | python | def walk_preorder(self):
"""Iterates the program tree starting from this object, going down."""
yield self
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git-afsantos/bonsai | bonsai/model.py | CodeEntity._lookup_parent | def _lookup_parent(self, cls):
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git-afsantos/bonsai | bonsai/model.py | CodeControlFlow._set_body | def _set_body(self, body):
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git-afsantos/bonsai | bonsai/model.py | CodeConditional.get_branches | def get_branches(self):
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rehandalal/therapist | therapist/utils/filesystem.py | list_files | def list_files(path):
"""Recursively collects a list of files at a path."""
files = []
if os.path.isdir(path):
for stats in os.walk(path):
for f in stats[2]:
files.append(os.path.join(stats[0], f))
elif os.path.isfile(path):
files = [path]
return files | python | def list_files(path):
"""Recursively collects a list of files at a path."""
files = []
if os.path.isdir(path):
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for f in stats[2]:
files.append(os.path.join(stats[0], f))
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return files | [
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rehandalal/therapist | therapist/runner/result.py | ResultCollection.dump | def dump(self):
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text += '{}\n'.format(''.ljust(79, '='))
status = 'FAILED' if resul... | python | def dump(self):
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rehandalal/therapist | therapist/runner/result.py | ResultCollection.dump_junit | def dump_junit(self):
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"""Returns a string containing XML mapped to the JUnit schema."""
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rehandalal/therapist | therapist/cli.py | install | def install(**kwargs):
"""Install the pre-commit hook."""
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colorama.init(strip=kwargs.get('no_color'))
stdout = subprocess.check_output('which therapist', shell=True)
therapist_bin = stdout.decode('utf-8').split()[0]
... | python | def install(**kwargs):
"""Install the pre-commit hook."""
force = kwargs.get('force')
preserve_legacy = kwargs.get('preserve_legacy')
colorama.init(strip=kwargs.get('no_color'))
stdout = subprocess.check_output('which therapist', shell=True)
therapist_bin = stdout.decode('utf-8').split()[0]
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rehandalal/therapist | therapist/cli.py | uninstall | def uninstall(**kwargs):
"""Uninstall the current pre-commit hook."""
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exit(1)
hoo... | python | def uninstall(**kwargs):
"""Uninstall the current pre-commit hook."""
force = kwargs.get('force')
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rehandalal/therapist | therapist/cli.py | run | def run(**kwargs):
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"""Run the Therapist suite."""
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rehandalal/therapist | therapist/cli.py | use | def use(ctx, shortcut):
"""Use a shortcut."""
git_dir = current_git_dir()
if git_dir is None:
output(NOT_GIT_REPO_MSG)
exit(1)
repo_root = os.path.dirname(git_dir)
config = get_config(repo_root)
try:
use_shortcut = config.shortcuts.get(shortcut)
while use_sho... | python | def use(ctx, shortcut):
"""Use a shortcut."""
git_dir = current_git_dir()
if git_dir is None:
output(NOT_GIT_REPO_MSG)
exit(1)
repo_root = os.path.dirname(git_dir)
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try:
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rehandalal/therapist | therapist/utils/hook.py | identify_hook | def identify_hook(path):
"""Verify that the file at path is the therapist hook and return the hash"""
with open(path, 'r') as f:
f.readline() # Discard the shebang line
version_line = f.readline()
if version_line.startswith('# THERAPIST'):
return version_line.split()[2] | python | def identify_hook(path):
"""Verify that the file at path is the therapist hook and return the hash"""
with open(path, 'r') as f:
f.readline() # Discard the shebang line
version_line = f.readline()
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rehandalal/therapist | therapist/utils/hook.py | hash_hook | def hash_hook(path, options):
"""Hash a hook file"""
with open(path, 'r') as f:
data = f.read()
for key in sorted(iterkeys(options)):
data += '\n#{}={}'.format(key, options.get(key))
return hashlib.md5(data.encode()).hexdigest() | python | def hash_hook(path, options):
"""Hash a hook file"""
with open(path, 'r') as f:
data = f.read()
for key in sorted(iterkeys(options)):
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return hashlib.md5(data.encode()).hexdigest() | [
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rehandalal/therapist | therapist/runner/runner.py | Runner.run_process | def run_process(self, process):
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flyte/upnpclient | upnpclient/soap.py | SOAP._extract_upnperror | def _extract_upnperror(self, err_xml):
"""
Extract the error code and error description from an error returned by the device.
"""
nsmap = {'s': list(err_xml.nsmap.values())[0]}
fault_str = err_xml.findtext(
's:Body/s:Fault/faultstring', namespaces=nsmap)
try:
... | python | def _extract_upnperror(self, err_xml):
"""
Extract the error code and error description from an error returned by the device.
"""
nsmap = {'s': list(err_xml.nsmap.values())[0]}
fault_str = err_xml.findtext(
's:Body/s:Fault/faultstring', namespaces=nsmap)
try:
... | [
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flyte/upnpclient | upnpclient/soap.py | SOAP._remove_extraneous_xml_declarations | def _remove_extraneous_xml_declarations(xml_str):
"""
Sometimes devices return XML with more than one XML declaration in, such as when returning
their own XML config files. This removes the extra ones and preserves the first one.
"""
xml_declaration = ''
if xml_str.starts... | python | def _remove_extraneous_xml_declarations(xml_str):
"""
Sometimes devices return XML with more than one XML declaration in, such as when returning
their own XML config files. This removes the extra ones and preserves the first one.
"""
xml_declaration = ''
if xml_str.starts... | [
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flyte/upnpclient | upnpclient/soap.py | SOAP.call | def call(self, action_name, arg_in=None, http_auth=None, http_headers=None):
"""
Construct the XML and make the call to the device. Parse the response values into a dict.
"""
if arg_in is None:
arg_in = {}
soap_env = '{%s}' % NS_SOAP_ENV
m = '{%s}' % self.ser... | python | def call(self, action_name, arg_in=None, http_auth=None, http_headers=None):
"""
Construct the XML and make the call to the device. Parse the response values into a dict.
"""
if arg_in is None:
arg_in = {}
soap_env = '{%s}' % NS_SOAP_ENV
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flyte/upnpclient | upnpclient/upnp.py | Device._read_services | def _read_services(self):
"""
Read the control XML file and populate self.services with a list of
services in the form of Service class instances.
"""
# The double slash in the XPath is deliberate, as services can be
# listed in two places (Section 2.3 of uPNP device arch... | python | def _read_services(self):
"""
Read the control XML file and populate self.services with a list of
services in the form of Service class instances.
"""
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flyte/upnpclient | upnpclient/upnp.py | Device.find_action | def find_action(self, action_name):
"""Find an action by name.
Convenience method that searches through all the services offered by
the Server for an action and returns an Action instance. If the action
is not found, returns None. If multiple actions with the same name are
found ... | python | def find_action(self, action_name):
"""Find an action by name.
Convenience method that searches through all the services offered by
the Server for an action and returns an Action instance. If the action
is not found, returns None. If multiple actions with the same name are
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flyte/upnpclient | upnpclient/upnp.py | Service.subscribe | def subscribe(self, callback_url, timeout=None):
"""
Set up a subscription to the events offered by this service.
"""
url = urljoin(self._url_base, self._event_sub_url)
headers = dict(
HOST=urlparse(url).netloc,
CALLBACK='<%s>' % callback_url,
... | python | def subscribe(self, callback_url, timeout=None):
"""
Set up a subscription to the events offered by this service.
"""
url = urljoin(self._url_base, self._event_sub_url)
headers = dict(
HOST=urlparse(url).netloc,
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flyte/upnpclient | upnpclient/upnp.py | Service.renew_subscription | def renew_subscription(self, sid, timeout=None):
"""
Renews a previously configured subscription.
"""
url = urljoin(self._url_base, self._event_sub_url)
headers = dict(
HOST=urlparse(url).netloc,
SID=sid
)
if timeout is not None:
... | python | def renew_subscription(self, sid, timeout=None):
"""
Renews a previously configured subscription.
"""
url = urljoin(self._url_base, self._event_sub_url)
headers = dict(
HOST=urlparse(url).netloc,
SID=sid
)
if timeout is not None:
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flyte/upnpclient | upnpclient/upnp.py | Service.cancel_subscription | def cancel_subscription(self, sid):
"""
Unsubscribes from a previously configured subscription.
"""
url = urljoin(self._url_base, self._event_sub_url)
headers = dict(
HOST=urlparse(url).netloc,
SID=sid
)
resp = requests.request('UNSUBSCRIBE... | python | def cancel_subscription(self, sid):
"""
Unsubscribes from a previously configured subscription.
"""
url = urljoin(self._url_base, self._event_sub_url)
headers = dict(
HOST=urlparse(url).netloc,
SID=sid
)
resp = requests.request('UNSUBSCRIBE... | [
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flyte/upnpclient | upnpclient/ssdp.py | discover | def discover(timeout=5):
"""
Convenience method to discover UPnP devices on the network. Returns a
list of `upnp.Device` instances. Any invalid servers are silently
ignored.
"""
devices = {}
for entry in scan(timeout):
if entry.location in devices:
continue
try:
... | python | def discover(timeout=5):
"""
Convenience method to discover UPnP devices on the network. Returns a
list of `upnp.Device` instances. Any invalid servers are silently
ignored.
"""
devices = {}
for entry in scan(timeout):
if entry.location in devices:
continue
try:
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MarcoFavorito/pythomata | pythomata/dfa.py | DFA.to_dot | def to_dot(self, path: str, title: Optional[str] = None):
"""
Print the automaton to a dot file
:param path: the path where to save the file.
:param title:
:return:
"""
g = graphviz.Digraph(format='svg')
g.node('fake', style='invisible')
for state... | python | def to_dot(self, path: str, title: Optional[str] = None):
"""
Print the automaton to a dot file
:param path: the path where to save the file.
:param title:
:return:
"""
g = graphviz.Digraph(format='svg')
g.node('fake', style='invisible')
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MarcoFavorito/pythomata | pythomata/dfa.py | DFA.levels_to_accepting_states | def levels_to_accepting_states(self) -> dict:
"""Return a dict from states to level, i.e. the number of steps to reach any accepting state.
level = -1 if the state cannot reach any accepting state"""
res = {accepting_state: 0 for accepting_state in self._accepting_states}
level = 0
... | python | def levels_to_accepting_states(self) -> dict:
"""Return a dict from states to level, i.e. the number of steps to reach any accepting state.
level = -1 if the state cannot reach any accepting state"""
res = {accepting_state: 0 for accepting_state in self._accepting_states}
level = 0
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MarcoFavorito/pythomata | pythomata/nfa.py | NFA.determinize | def determinize(self) -> DFA:
"""Determinize the NFA
:return: the DFA equivalent to the DFA.
"""
nfa = self
new_states = {macro_state for macro_state in powerset(nfa._states)}
initial_state = frozenset([nfa._initial_state])
final_states = {q for q in new_states... | python | def determinize(self) -> DFA:
"""Determinize the NFA
:return: the DFA equivalent to the DFA.
"""
nfa = self
new_states = {macro_state for macro_state in powerset(nfa._states)}
initial_state = frozenset([nfa._initial_state])
final_states = {q for q in new_states... | [
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peercoin/peercoin_rpc | peercoin_rpc/peercoin_rpc.py | Client.req | def req(self, method, params=()):
"""send request to ppcoind"""
response = self.session.post(
self.url,
data=json.dumps({"method": method, "params": params, "jsonrpc": "1.1"}),
).json()
if response["error"] is not None:
return response["error"]
... | python | def req(self, method, params=()):
"""send request to ppcoind"""
response = self.session.post(
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if response["error"] is not None:
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peercoin/peercoin_rpc | peercoin_rpc/peercoin_rpc.py | Client.batch | def batch(self, reqs):
""" send batch request using jsonrpc 2.0 """
batch_data = []
for req_id, req in enumerate(reqs):
batch_data.append(
{"method": req[0], "params": req[1], "jsonrpc": "2.0", "id": req_id}
)
data = json.dumps(batch_data)
... | python | def batch(self, reqs):
""" send batch request using jsonrpc 2.0 """
batch_data = []
for req_id, req in enumerate(reqs):
batch_data.append(
{"method": req[0], "params": req[1], "jsonrpc": "2.0", "id": req_id}
)
data = json.dumps(batch_data)
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peercoin/peercoin_rpc | peercoin_rpc/peercoin_rpc.py | Client.walletpassphrase | def walletpassphrase(self, passphrase, timeout=99999999, mint_only=True):
"""used to unlock wallet for minting"""
return self.req("walletpassphrase", [passphrase, timeout, mint_only]) | python | def walletpassphrase(self, passphrase, timeout=99999999, mint_only=True):
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peercoin/peercoin_rpc | peercoin_rpc/peercoin_rpc.py | Client.getblock | def getblock(self, blockhash, decode=False):
"""returns detail block info."""
if not decode:
decode = "false"
return self.req("getblock", [blockhash, decode])
else:
return self.req("getblock", [blockhash]) | python | def getblock(self, blockhash, decode=False):
"""returns detail block info."""
if not decode:
decode = "false"
return self.req("getblock", [blockhash, decode])
else:
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peercoin/peercoin_rpc | peercoin_rpc/peercoin_rpc.py | Client.sendfrom | def sendfrom(self, account, address, amount):
"""send outgoing tx from specified account to a given address"""
return self.req("sendfrom", [account, address, amount]) | python | def sendfrom(self, account, address, amount):
"""send outgoing tx from specified account to a given address"""
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peercoin/peercoin_rpc | peercoin_rpc/peercoin_rpc.py | Client.listtransactions | def listtransactions(self, account="", many=999, since=0):
"""list all transactions associated with this wallet"""
return self.req("listtransactions", [account, many, since]) | python | def listtransactions(self, account="", many=999, since=0):
"""list all transactions associated with this wallet"""
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peercoin/peercoin_rpc | peercoin_rpc/peercoin_rpc.py | Client.verifymessage | def verifymessage(self, address, signature, message):
"""Verify a signed message."""
return self.req("verifymessage", [address, signature, message]) | python | def verifymessage(self, address, signature, message):
"""Verify a signed message."""
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NLeSC/noodles | noodles/lib/coroutine.py | coroutine | def coroutine(f):
"""
A sink should be send `None` first, so that the coroutine arrives
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automatically when the coroutine is started.
"""
@wraps(f)
def g(*args, **kwargs):
sink = f(*args, **kwargs)
sink.send(No... | python | def coroutine(f):
"""
A sink should be send `None` first, so that the coroutine arrives
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"""
@wraps(f)
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NLeSC/noodles | noodles/interface/maybe.py | Fail.add_call | def add_call(self, func):
"""Add a call to the trace."""
self.trace.append("{} ({}:{})".format(
object_name(func),
inspect.getsourcefile(func),
inspect.getsourcelines(func)[1]))
return self | python | def add_call(self, func):
"""Add a call to the trace."""
self.trace.append("{} ({}:{})".format(
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inspect.getsourcefile(func),
inspect.getsourcelines(func)[1]))
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NLeSC/noodles | noodles/patterns/functional_patterns.py | all | def all(pred: Callable, xs: Iterable):
"""
Check whether all the elements of the iterable `xs`
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:param pred:
predicate function
:param xs:
iterable object.
:returns: boolean
"""
for x in xs:
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re... | python | def all(pred: Callable, xs: Iterable):
"""
Check whether all the elements of the iterable `xs`
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:param pred:
predicate function
:param xs:
iterable object.
:returns: boolean
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for x in xs:
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NLeSC/noodles | noodles/patterns/functional_patterns.py | any | def any(pred: Callable, xs: Iterable):
"""
Check if at least one element of the iterable `xs`
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:param pred:
predicate function.
:param xs:
iterable object.
:returns: boolean
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return True if b is not None else Fals... | python | def any(pred: Callable, xs: Iterable):
"""
Check if at least one element of the iterable `xs`
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:param pred:
predicate function.
:param xs:
iterable object.
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NLeSC/noodles | noodles/patterns/functional_patterns.py | map | def map(fun: Callable, xs: Iterable):
"""
Traverse an iterable object applying function `fun`
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:param fun:
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:param xs:
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"""
Traverse an iterable object applying function `fun`
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NLeSC/noodles | noodles/patterns/functional_patterns.py | zip_with | def zip_with(fun: Callable, xs: Iterable, ys: Iterable):
"""
Fuse two Iterable object using the function `fun`.
Notice that if the two objects have different len,
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:param fun:
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element x from `xs` ... | python | def zip_with(fun: Callable, xs: Iterable, ys: Iterable):
"""
Fuse two Iterable object using the function `fun`.
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NLeSC/noodles | noodles/workflow/model.py | _arg_to_str | def _arg_to_str(arg):
"""Convert argument to a string."""
if isinstance(arg, str):
return _sugar(repr(arg))
elif arg is Empty:
return '\u2014'
else:
return _sugar(str(arg)) | python | def _arg_to_str(arg):
"""Convert argument to a string."""
if isinstance(arg, str):
return _sugar(repr(arg))
elif arg is Empty:
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else:
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NLeSC/noodles | noodles/workflow/model.py | is_node_ready | def is_node_ready(node):
"""Returns True if none of the argument holders contain any `Empty` object.
"""
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NLeSC/noodles | noodles/prov/sqlite.py | JobDB.add_job_to_db | def add_job_to_db(self, key, job):
"""Add job info to the database."""
job_msg = self.registry.deep_encode(job)
prov = prov_key(job_msg)
def set_link(duplicate_id):
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... | python | def add_job_to_db(self, key, job):
"""Add job info to the database."""
job_msg = self.registry.deep_encode(job)
prov = prov_key(job_msg)
def set_link(duplicate_id):
self.cur.execute(
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NLeSC/noodles | noodles/prov/sqlite.py | JobDB.job_exists | def job_exists(self, prov):
"""Check if a job exists in the database."""
with self.lock:
self.cur.execute('select * from "jobs" where "prov" = ?;', (prov,))
rec = self.cur.fetchone()
return rec is not None | python | def job_exists(self, prov):
"""Check if a job exists in the database."""
with self.lock:
self.cur.execute('select * from "jobs" where "prov" = ?;', (prov,))
rec = self.cur.fetchone()
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NLeSC/noodles | noodles/prov/sqlite.py | JobDB.store_result_in_db | def store_result_in_db(self, result, always_cache=True):
"""Store a result in the database."""
job = self[result.key]
def extend_dependent_links():
with self.lock:
new_workflow_id = id(get_workflow(result.value))
self.links[new_workflow_id].extend(
... | python | def store_result_in_db(self, result, always_cache=True):
"""Store a result in the database."""
job = self[result.key]
def extend_dependent_links():
with self.lock:
new_workflow_id = id(get_workflow(result.value))
self.links[new_workflow_id].extend(
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NLeSC/noodles | noodles/prov/sqlite.py | JobDB.add_time_stamp | def add_time_stamp(self, db_id, name):
"""Add a timestamp to the database."""
with self.lock:
self.cur.execute(
'insert into "timestamps" ("job", "what")'
'values (?, ?);', (db_id, name)) | python | def add_time_stamp(self, db_id, name):
"""Add a timestamp to the database."""
with self.lock:
self.cur.execute(
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NLeSC/noodles | examples/static_sum.py | static_sum | def static_sum(values, limit_n=1000):
"""Example of static sum routine."""
if len(values) < limit_n:
return sum(values)
else:
half = len(values) // 2
return add(
static_sum(values[:half], limit_n),
static_sum(values[half:], limit_n)) | python | def static_sum(values, limit_n=1000):
"""Example of static sum routine."""
if len(values) < limit_n:
return sum(values)
else:
half = len(values) // 2
return add(
static_sum(values[:half], limit_n),
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NLeSC/noodles | examples/static_sum.py | dynamic_sum | def dynamic_sum(values, limit_n=1000, acc=0, depth=4):
"""Example of dynamic sum."""
if len(values) < limit_n:
return acc + sum(values)
if depth > 0:
half = len(values) // 2
return add(
dynamic_sum(values[:half], limit_n, acc, depth=depth-1),
dynamic_sum(valu... | python | def dynamic_sum(values, limit_n=1000, acc=0, depth=4):
"""Example of dynamic sum."""
if len(values) < limit_n:
return acc + sum(values)
if depth > 0:
half = len(values) // 2
return add(
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dynamic_sum(valu... | [
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NLeSC/noodles | noodles/lib/queue.py | Queue.flush | def flush(self):
"""Erases queue and set `end-of-queue` message."""
while not self._queue.empty():
self._queue.get()
self._queue.task_done()
self.close() | python | def flush(self):
"""Erases queue and set `end-of-queue` message."""
while not self._queue.empty():
self._queue.get()
self._queue.task_done()
self.close() | [
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] | 3759e24e6e54a3a1a364431309dbb1061f617c04 | https://github.com/NLeSC/noodles/blob/3759e24e6e54a3a1a364431309dbb1061f617c04/noodles/lib/queue.py#L71-L76 | train |
NLeSC/noodles | noodles/workflow/graphs.py | find_links_to | def find_links_to(links, node):
"""Find links to a node.
:param links:
forward links of a workflow
:type links: Mapping[NodeId, Set[(NodeId, ArgumentType, [int|str]])]
:param node:
index to a node
:type node: int
:returns:
dictionary of sources for each argument
:r... | python | def find_links_to(links, node):
"""Find links to a node.
:param links:
forward links of a workflow
:type links: Mapping[NodeId, Set[(NodeId, ArgumentType, [int|str]])]
:param node:
index to a node
:type node: int
:returns:
dictionary of sources for each argument
:r... | [
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:param links:
forward links of a workflow
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:param node:
index to a node
:type node: int
:returns:
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:rtype: Mapping[(ArgumentType, [int|str])... | [
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NLeSC/noodles | noodles/workflow/graphs.py | _all_valid | def _all_valid(links):
"""Iterates over all links, forgetting emtpy registers."""
for k, v in links.items():
for i in v:
yield k, i | python | def _all_valid(links):
"""Iterates over all links, forgetting emtpy registers."""
for k, v in links.items():
for i in v:
yield k, i | [
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NLeSC/noodles | noodles/workflow/create.py | from_call | def from_call(foo, args, kwargs, hints, call_by_value=True):
"""Takes a function and a set of arguments it needs to run on. Returns a newly
constructed workflow representing the promised value from the evaluation of
the function with said arguments.
These arguments are stored in a BoundArguments object... | python | def from_call(foo, args, kwargs, hints, call_by_value=True):
"""Takes a function and a set of arguments it needs to run on. Returns a newly
constructed workflow representing the promised value from the evaluation of
the function with said arguments.
These arguments are stored in a BoundArguments object... | [
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