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pysathq/pysat | examples/lsu.py | https://github.com/pysathq/pysat/blob/522742e8f2d4c6ac50ecd9087f7a346206774c67/examples/lsu.py#L358-L368 | def parse_formula(fml_file):
"""
Parse and return MaxSAT formula.
"""
if re.search('\.wcnf(\.(gz|bz2|lzma|xz))?$', fml_file):
fml = WCNF(from_file=fml_file)
else: # expecting '*.cnf'
fml = CNF(from_file=fml_file).weighted()
return fml | [
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| python | train | 24.636364 |
angr/angr | angr/simos/javavm.py | https://github.com/angr/angr/blob/4e2f97d56af5419ee73bdb30482c8dd8ff5f3e40/angr/simos/javavm.py#L265-L297 | def get_default_value_by_type(type_, state=None):
"""
Java specify defaults values for primitive and reference types. This
method returns the default value for a given type.
:param str type_: Name of type.
:return: Default value for this type.
"""
if type_ in ['byte', 'char', 'short', 'int', 'boolean']:
return BVS('default_value_{}'.format(type_), 32)
elif type_ == "long":
return BVS('default_value_{}'.format(type_), 64)
elif type_ == 'float':
return FPS('default_value_{}'.format(type_), FSORT_FLOAT)
elif type_ == 'double':
return FPS('default_value_{}'.format(type_), FSORT_DOUBLE)
elif state is not None:
if type_ == 'java.lang.String':
return SimSootValue_StringRef.new_string(state, StringS('default_value_{}'.format(type_), 1000))
if type_.endswith('[][]'):
raise NotImplementedError
# multiarray = SimSootExpr_NewMultiArray.new_array(self.state, element_type, size)
# multiarray.add_default_value_generator(lambda s: SimSootExpr_NewMultiArray._generate_inner_array(s, element_type, sizes))
# return multiarray
elif type_.endswith('[]'):
array = SimSootExpr_NewArray.new_array(state, type_[:-2], BVV(2, 32))
return array
else:
return SimSootValue_ThisRef.new_object(state, type_, symbolic=True, init_object=False)
else:
# not a primitive type
# => treat it as a reference
return SootNullConstant() | [
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| python | train | 49.909091 |
gwpy/gwpy | gwpy/table/io/hacr.py | https://github.com/gwpy/gwpy/blob/7a92b917e7dd2d99b15895293a1fa1d66cdb210a/gwpy/table/io/hacr.py#L75-L88 | def get_hacr_channels(db=None, gps=None, connection=None,
**conectkwargs):
"""Return the names of all channels present in the given HACR database
"""
# connect if needed
if connection is None:
if gps is None:
gps = from_gps('now')
if db is None:
db = get_database_names(gps, gps)[0]
connection = connect(db=db, **conectkwargs)
# query
out = query("select channel from job where monitorName = 'chacr'")
return [r[0] for r in out] | [
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| python | train | 36.642857 |
nugget/python-insteonplm | insteonplm/messages/userdata.py | https://github.com/nugget/python-insteonplm/blob/65548041f1b0729ae1ae904443dd81b0c6cbf1bf/insteonplm/messages/userdata.py#L53-L63 | def human(self):
"""Emit the address in human-readible format (AA.BB.CC)."""
strout = ''
first = True
for i in range(0, 28, 2):
if first:
first = False
else:
strout = strout + '.'
strout = strout + self.hex[i:i + 2]
return strout | [
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| python | train | 29.727273 |
watchforstock/evohome-client | evohomeclient/__init__.py | https://github.com/watchforstock/evohome-client/blob/f1cb9273e97946d79c0651f00a218abbf7ada53a/evohomeclient/__init__.py#L266-L275 | def set_temperature(self, zone, temperature, until=None):
"""Sets the temperature of the given zone."""
if until is None:
data = {"Value": temperature, "Status": "Hold", "NextTime": None}
else:
data = {"Value": temperature,
"Status": "Temporary",
"NextTime": until.strftime('%Y-%m-%dT%H:%M:%SZ')}
self._set_heat_setpoint(zone, data) | [
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| python | train | 42 |
LuminosoInsight/ordered-set | ordered_set.py | https://github.com/LuminosoInsight/ordered-set/blob/a29eaedcedfe5072bcee11bdef61dea321d5e9f9/ordered_set.py#L209-L226 | def pop(self):
"""
Remove and return the last element from the set.
Raises KeyError if the set is empty.
Example:
>>> oset = OrderedSet([1, 2, 3])
>>> oset.pop()
3
"""
if not self.items:
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elem = self.items[-1]
del self.items[-1]
del self.map[elem]
return elem | [
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| python | train | 22.388889 |
ziwenxie/netease-dl | netease/logger.py | https://github.com/ziwenxie/netease-dl/blob/84b226fc07b10f7f66580f0fc69f10356f66b5c3/netease/logger.py#L24-L38 | def get_logger(name):
"""Return a logger with a file handler."""
logger = logging.getLogger(name)
logger.setLevel(logging.INFO)
# File output handler
file_handler = logging.FileHandler(log_path)
file_handler.setLevel(logging.INFO)
formatter = logging.Formatter(
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file_handler.setFormatter(formatter)
logger.addHandler(file_handler)
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| python | train | 32.266667 |
spacetelescope/drizzlepac | drizzlepac/wcs_functions.py | https://github.com/spacetelescope/drizzlepac/blob/15bec3c929a6a869d9e71b9398ced43ede0620f1/drizzlepac/wcs_functions.py#L806-L858 | def fitlin(imgarr,refarr):
""" Compute the least-squares fit between two arrays.
A Python translation of 'FITLIN' from 'drutil.f' (Drizzle V2.9).
"""
# Initialize variables
_mat = np.zeros((3,3),dtype=np.float64)
_xorg = imgarr[0][0]
_yorg = imgarr[0][1]
_xoorg = refarr[0][0]
_yoorg = refarr[0][1]
_sigxox = 0.
_sigxoy = 0.
_sigxo = 0.
_sigyox = 0.
_sigyoy = 0.
_sigyo = 0.
_npos = len(imgarr)
# Populate matrices
for i in range(_npos):
_mat[0][0] += np.power((imgarr[i][0] - _xorg),2)
_mat[0][1] += (imgarr[i][0] - _xorg) * (imgarr[i][1] - _yorg)
_mat[0][2] += (imgarr[i][0] - _xorg)
_mat[1][1] += np.power((imgarr[i][1] - _yorg),2)
_mat[1][2] += imgarr[i][1] - _yorg
_sigxox += (refarr[i][0] - _xoorg)*(imgarr[i][0] - _xorg)
_sigxoy += (refarr[i][0] - _xoorg)*(imgarr[i][1] - _yorg)
_sigxo += refarr[i][0] - _xoorg
_sigyox += (refarr[i][1] - _yoorg)*(imgarr[i][0] -_xorg)
_sigyoy += (refarr[i][1] - _yoorg)*(imgarr[i][1] - _yorg)
_sigyo += refarr[i][1] - _yoorg
_mat[2][2] = _npos
_mat[1][0] = _mat[0][1]
_mat[2][0] = _mat[0][2]
_mat[2][1] = _mat[1][2]
# Now invert this matrix
_mat = linalg.inv(_mat)
_a = _sigxox*_mat[0][0]+_sigxoy*_mat[0][1]+_sigxo*_mat[0][2]
_b = -1*(_sigxox*_mat[1][0]+_sigxoy*_mat[1][1]+_sigxo*_mat[1][2])
#_x0 = _sigxox*_mat[2][0]+_sigxoy*_mat[2][1]+_sigxo*_mat[2][2]
_c = _sigyox*_mat[1][0]+_sigyoy*_mat[1][1]+_sigyo*_mat[1][2]
_d = _sigyox*_mat[0][0]+_sigyoy*_mat[0][1]+_sigyo*_mat[0][2]
#_y0 = _sigyox*_mat[2][0]+_sigyoy*_mat[2][1]+_sigyo*_mat[2][2]
_xt = _xoorg - _a*_xorg+_b*_yorg
_yt = _yoorg - _d*_xorg-_c*_yorg
return [_a,_b,_xt],[_c,_d,_yt] | [
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| python | train | 33.207547 |
mdgoldberg/sportsref | sportsref/nfl/boxscores.py | https://github.com/mdgoldberg/sportsref/blob/09f11ac856a23c96d666d1d510bb35d6f050b5c3/sportsref/nfl/boxscores.py#L370-L378 | def ref_info(self):
"""Gets a dictionary of ref positions and the ref IDs of the refs for
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:returns: A dictionary of ref positions and IDs.
"""
doc = self.get_doc()
table = doc('table#officials')
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| python | test | 33.444444 |
scour-project/scour | scour/scour.py | https://github.com/scour-project/scour/blob/049264eba6b1a54ae5ba1d6a5077d8e7b80e8835/scour/scour.py#L1885-L1894 | def taint(taintedSet, taintedAttribute):
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if taintedAttribute == 'marker':
taintedSet |= set(['marker-start', 'marker-mid', 'marker-end'])
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| python | train | 40.1 |
saltstack/salt | salt/modules/nfs3.py | https://github.com/saltstack/salt/blob/e8541fd6e744ab0df786c0f76102e41631f45d46/salt/modules/nfs3.py#L69-L82 | def del_export(exports='/etc/exports', path=None):
'''
Remove an export
CLI Example:
.. code-block:: bash
salt '*' nfs.del_export /media/storage
'''
edict = list_exports(exports)
del edict[path]
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| python | train | 19.428571 |
hotdoc/hotdoc | hotdoc/utils/loggable.py | https://github.com/hotdoc/hotdoc/blob/1067cdc8482b585b364a38fb52ca5d904e486280/hotdoc/utils/loggable.py#L213-L222 | def _log(code, message, level, domain):
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entry = LogEntry(level, domain, code, message)
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| python | train | 29.5 |
pasztorpisti/py-flags | src/flags.py | https://github.com/pasztorpisti/py-flags/blob/bc48adb5edd7340ea1a686622d7993b4bcf4bfc2/src/flags.py#L95-L112 | def process_inline_members_definition(members):
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members = ((name, UNDEFINED) for name in members)
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members = members.items()
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| python | train | 46.666667 |
twilio/twilio-python | twilio/rest/autopilot/v1/assistant/model_build.py | https://github.com/twilio/twilio-python/blob/c867895f55dcc29f522e6e8b8868d0d18483132f/twilio/rest/autopilot/v1/assistant/model_build.py#L119-L137 | def create(self, status_callback=values.unset, unique_name=values.unset):
"""
Create a new ModelBuildInstance
:param unicode status_callback: The URL we should call using a POST method to send status information to your application
:param unicode unique_name: An application-defined string that uniquely identifies the new resource
:returns: Newly created ModelBuildInstance
:rtype: twilio.rest.autopilot.v1.assistant.model_build.ModelBuildInstance
"""
data = values.of({'StatusCallback': status_callback, 'UniqueName': unique_name, })
payload = self._version.create(
'POST',
self._uri,
data=data,
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return ModelBuildInstance(self._version, payload, assistant_sid=self._solution['assistant_sid'], ) | [
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| python | train | 42.526316 |
brutasse/graphite-api | graphite_api/functions.py | https://github.com/brutasse/graphite-api/blob/0886b7adcf985a1e8bcb084f6dd1dc166a3f3dff/graphite_api/functions.py#L3298-L3335 | def aggregateLine(requestContext, seriesList, func='avg'):
"""
Takes a metric or wildcard seriesList and draws a horizontal line
based on the function applied to each series.
Note: By default, the graphite renderer consolidates data points by
averaging data points over time. If you are using the 'min' or 'max'
function for aggregateLine, this can cause an unusual gap in the
line drawn by this function and the data itself. To fix this, you
should use the consolidateBy() function with the same function
argument you are using for aggregateLine. This will ensure that the
proper data points are retained and the graph should line up
correctly.
Example::
&target=aggregateLine(server01.connections.total, 'avg')
&target=aggregateLine(server*.connections.total, 'avg')
"""
t_funcs = {'avg': safeAvg, 'min': safeMin, 'max': safeMax}
if func not in t_funcs:
raise ValueError("Invalid function %s" % func)
results = []
for series in seriesList:
value = t_funcs[func](series)
if value is not None:
name = 'aggregateLine(%s, %g)' % (series.name, value)
else:
name = 'aggregateLine(%s, None)' % (series.name)
[series] = constantLine(requestContext, value)
series.name = name
series.pathExpression = series.name
results.append(series)
return results | [
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| python | train | 36.526316 |
opendatateam/udata | udata/core/tags/tasks.py | https://github.com/opendatateam/udata/blob/f016585af94b0ff6bd73738c700324adc8ba7f8f/udata/core/tags/tasks.py#L38-L48 | def count_tags(self):
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for key, model in TAGGED.items():
collection = '{0}_tags'.format(key)
results = (model.objects(tags__exists=True)
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for result in results:
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tag.counts[key] = int(result.value) if result.value else 0
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| python | train | 50.090909 |
gabstopper/smc-python | smc/examples/ip_lists.py | https://github.com/gabstopper/smc-python/blob/e027b8a5dcfaf884eada32d113d41c1e56b32457/smc/examples/ip_lists.py#L113-L125 | def download_as_json(name):
"""
Download IPList as json. This would allow for easily
manipulation of the IPList, but generally recommended only for
smaller lists
:param str name: name of IPList
:return: None
"""
location = list(IPList.objects.filter(name))
if location:
iplist = location[0]
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| python | train | 28.538462 |
pandas-dev/pandas | pandas/io/excel/_openpyxl.py | https://github.com/pandas-dev/pandas/blob/9feb3ad92cc0397a04b665803a49299ee7aa1037/pandas/io/excel/_openpyxl.py#L98-L123 | def _convert_to_color(cls, color_spec):
"""
Convert ``color_spec`` to an openpyxl v2 Color object
Parameters
----------
color_spec : str, dict
A 32-bit ARGB hex string, or a dict with zero or more of the
following keys.
'rgb'
'indexed'
'auto'
'theme'
'tint'
'index'
'type'
Returns
-------
color : openpyxl.styles.Color
"""
from openpyxl.styles import Color
if isinstance(color_spec, str):
return Color(color_spec)
else:
return Color(**color_spec) | [
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| python | train | 26.115385 |
pjuren/pyokit | src/pyokit/datastruct/genomicInterval.py | https://github.com/pjuren/pyokit/blob/fddae123b5d817daa39496183f19c000d9c3791f/src/pyokit/datastruct/genomicInterval.py#L650-L664 | def subtract(self, es):
"""
Subtract the BED elements in es from self.
:param es: a list of BED elements (or anything with chrom, start, end)
:return: a list of BED elements which represent what is left of
self after the subtraction. This might be an empty list.
"""
workingSet = [self]
for e in es:
newWorkingSet = []
for w in workingSet:
newWorkingSet += w.__singleIntersect(e)
workingSet = newWorkingSet
return workingSet | [
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| python | train | 32.133333 |
KE-works/pykechain | pykechain/helpers.py | https://github.com/KE-works/pykechain/blob/b0296cf34328fd41660bf6f0b9114fd0167c40c4/pykechain/helpers.py#L9-L118 | def get_project(url=None, username=None, password=None, token=None, scope=None, scope_id=None,
env_filename=None, status=ScopeStatus.ACTIVE):
"""
Retrieve and return the KE-chain project to be used throughout an app.
This helper is made to bootstrap a pykechain enabled python script or an jupyter notebook with the correct
project (technically this is a `pykechain.models.Scope` model).
When no parameters are passed in this function, it will try to retrieve `url`, `token`, `scope` (or `scope_id`)
from the environment variables or a neatly placed '.env' file.
when the environment variable KECHAIN_FORCE_ENV_USE is set to true, (or ok, on, 1, yes) then the use of
environmentvariables for the retrieval of the scope are enforced. The following environment variables can be set::
KECHAIN_URL - full url of KE-chain where to connect to eg: 'https://<some>.ke-chain.com'
KECHAIN_TOKEN - authentication token for the KE-chain user provided from KE-chain user account control
KECHAIN_USERNAME - the username for the credentials
KECHAIN_PASSWORD - the password for the credentials
KECHAIN_SCOPE - the name of the project / scope. Should be unique, otherwise use scope_id
KECHAIN_SCOPE_ID - the UUID of the project / scope.
KECHAIN_FORCE_ENV_USE - set to 'true', '1', 'ok', or 'yes' to always use the environment variables.
KECHAIN_SCOPE_STATUS - the status of the Scope to retrieve, defaults to None to retrieve all scopes
.. versionadded:: 1.12
:param url: (optional) url of KE-chain
:type url: basestring or None
:param username: (optional) username for authentication (together with password, if not token)
:type username: basestring or None
:param password: (optional) password for username/password authentication (together with username, if not token)
:type password: basestring or None
:param token: (optional) token for authentication (if not username/password)
:type token: basestring or None
:param scope: (optional) name of the scope to retrieve from KE-chain.
:type scope: basestring or None
:param scope_id: (optional) UUID of the scope to retrieve and return from KE-chain
:type scope_id: basestring or None
:param env_filename: (optional) name of the environment filename to bootstrap the Client
:type env_filename: basestring or None
:param status: (optional) status of the scope to retrieve, defaults to :attr:`enums.Scopestatus.ACTIVE`
:type status: basestring or None
:return: pykechain.models.Scope
:raises NotFoundError: If the scope could not be found
:raises ClientError: If the client connection to KE-chain was unsuccessful
:raises APIError: If other Errors occur to retrieve the scope
Example
-------
An example with parameters provided
>>> from pykechain import get_project
>>> project = get_project(url='http://localhost:8000',
... username='foo', password='bar', scope='1st!')
>>> print(project.name)
1st
An example with a .env file on disk::
# This is an .env file on disk.
KECHAIN_TOKEN=bd9377793f7e74a29dbb11fce969
KECHAIN_URL=http://localhost:8080
KECHAIN_SCOPE_ID=c9f0-228e-4d3a-9dc0-ec5a75d7
>>> project = get_project(env_filename='/path/to/.env')
>>> project.id
c9f0-228e-4d3a-9dc0-ec5a75d7
An example for get_project that will extract all from the environment variables
>>> env_vars = os.environ
>>> env_vars.get('KECHAIN_TOKEN')
bd9377793f7e74a29dbb11fce969
>>> env_vars.get('KECHAIN_URL')
http://localhost:8080
>>> env_vars.get('KECHAIN_SCOPE')
Bike Project
>>> project = get_project()
>>> project.name
Bike Project
"""
if env.bool(kecenv.KECHAIN_FORCE_ENV_USE, default=False):
if not os.getenv(kecenv.KECHAIN_URL):
raise ClientError(
"Error: KECHAIN_URL should be provided as environment variable (use of env vars is enforced)")
if not (os.getenv(kecenv.KECHAIN_TOKEN) or
(os.getenv(kecenv.KECHAIN_PASSWORD) and os.getenv(kecenv.KECHAIN_PASSWORD))):
raise ClientError("Error: KECHAIN_TOKEN or KECHAIN_USERNAME and KECHAIN_PASSWORD should be provided as "
"environment variable(s) (use of env vars is enforced)")
if not (os.getenv(kecenv.KECHAIN_SCOPE) or os.getenv(kecenv.KECHAIN_SCOPE_ID)):
raise ClientError("Error: KECHAIN_SCOPE or KECHAIN_SCOPE_ID should be provided as environment variable "
"(use of env vars is enforced)")
if env.bool(kecenv.KECHAIN_FORCE_ENV_USE, default=False) or \
not any((url, username, password, token, scope, scope_id)):
client = Client.from_env(env_filename=env_filename)
scope_id = env(kecenv.KECHAIN_SCOPE_ID, default=None)
scope = env(kecenv.KECHAIN_SCOPE, default=None)
status = env(kecenv.KECHAIN_SCOPE_STATUS, default=None)
elif (url and ((username and password) or (token)) and (scope or scope_id)) and \
not env.bool(kecenv.KECHAIN_FORCE_ENV_USE, default=False):
client = Client(url=url)
client.login(username=username, password=password, token=token)
else:
raise ClientError("Error: insufficient arguments to connect to KE-chain. "
"See documentation of `pykechain.get_project()`")
if scope_id:
return client.scope(pk=scope_id, status=status)
else:
return client.scope(name=scope, status=status) | [
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project (technically this is a `pykechain.models.Scope` model).
When no parameters are passed in this function, it will try to retrieve `url`, `token`, `scope` (or `scope_id`)
from the environment variables or a neatly placed '.env' file.
when the environment variable KECHAIN_FORCE_ENV_USE is set to true, (or ok, on, 1, yes) then the use of
environmentvariables for the retrieval of the scope are enforced. The following environment variables can be set::
KECHAIN_URL - full url of KE-chain where to connect to eg: 'https://<some>.ke-chain.com'
KECHAIN_TOKEN - authentication token for the KE-chain user provided from KE-chain user account control
KECHAIN_USERNAME - the username for the credentials
KECHAIN_PASSWORD - the password for the credentials
KECHAIN_SCOPE - the name of the project / scope. Should be unique, otherwise use scope_id
KECHAIN_SCOPE_ID - the UUID of the project / scope.
KECHAIN_FORCE_ENV_USE - set to 'true', '1', 'ok', or 'yes' to always use the environment variables.
KECHAIN_SCOPE_STATUS - the status of the Scope to retrieve, defaults to None to retrieve all scopes
.. versionadded:: 1.12
:param url: (optional) url of KE-chain
:type url: basestring or None
:param username: (optional) username for authentication (together with password, if not token)
:type username: basestring or None
:param password: (optional) password for username/password authentication (together with username, if not token)
:type password: basestring or None
:param token: (optional) token for authentication (if not username/password)
:type token: basestring or None
:param scope: (optional) name of the scope to retrieve from KE-chain.
:type scope: basestring or None
:param scope_id: (optional) UUID of the scope to retrieve and return from KE-chain
:type scope_id: basestring or None
:param env_filename: (optional) name of the environment filename to bootstrap the Client
:type env_filename: basestring or None
:param status: (optional) status of the scope to retrieve, defaults to :attr:`enums.Scopestatus.ACTIVE`
:type status: basestring or None
:return: pykechain.models.Scope
:raises NotFoundError: If the scope could not be found
:raises ClientError: If the client connection to KE-chain was unsuccessful
:raises APIError: If other Errors occur to retrieve the scope
Example
-------
An example with parameters provided
>>> from pykechain import get_project
>>> project = get_project(url='http://localhost:8000',
... username='foo', password='bar', scope='1st!')
>>> print(project.name)
1st
An example with a .env file on disk::
# This is an .env file on disk.
KECHAIN_TOKEN=bd9377793f7e74a29dbb11fce969
KECHAIN_URL=http://localhost:8080
KECHAIN_SCOPE_ID=c9f0-228e-4d3a-9dc0-ec5a75d7
>>> project = get_project(env_filename='/path/to/.env')
>>> project.id
c9f0-228e-4d3a-9dc0-ec5a75d7
An example for get_project that will extract all from the environment variables
>>> env_vars = os.environ
>>> env_vars.get('KECHAIN_TOKEN')
bd9377793f7e74a29dbb11fce969
>>> env_vars.get('KECHAIN_URL')
http://localhost:8080
>>> env_vars.get('KECHAIN_SCOPE')
Bike Project
>>> project = get_project()
>>> project.name
Bike Project | [
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| python | train | 50.427273 |
zhanglab/psamm | psamm/command.py | https://github.com/zhanglab/psamm/blob/dc427848c4f9d109ca590f0afa024c63b685b3f4/psamm/command.py#L248-L268 | def _create_executor(self, handler, args, cpus_per_worker=1):
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workers = self._args.parallel
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try:
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| python | train | 36.52381 |
Kozea/cairocffi | cairocffi/context.py | https://github.com/Kozea/cairocffi/blob/450853add7e32eea20985b6aa5f54d9cb3cd04fe/cairocffi/context.py#L1629-L1643 | def clip_extents(self):
"""Computes a bounding box in user coordinates
covering the area inside the current clip.
:return:
A ``(x1, y1, x2, y2)`` tuple of floats:
the left, top, right and bottom of the resulting extents,
respectively.
"""
extents = ffi.new('double[4]')
cairo.cairo_clip_extents(
self._pointer, extents + 0, extents + 1, extents + 2, extents + 3)
self._check_status()
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| python | train | 33.666667 |
cytoscape/py2cytoscape | py2cytoscape/cyrest/layout.py | https://github.com/cytoscape/py2cytoscape/blob/dd34de8d028f512314d0057168df7fef7c5d5195/py2cytoscape/cyrest/layout.py#L380-L452 | def fruchterman_rheingold(self,attraction_multiplier=None,conflict_avoidance=None,\
defaultEdgeWeight=None,EdgeAttribute=None,gravity_multiplier=None,\
layout3D=None,max_distance_factor=None,maxWeightCutoff=None,minWeightCutoff=None,\
network=None,nIterations=None,NodeAttribute=None,nodeList=None,randomize=None,\
repulsion_multiplier=None,singlePartition=None,spread_factor=None,\
temperature=None,Type=None,update_iterations=None,verbose=None):
"""
Execute the Edge-weighted Force directed (BioLayout) on a network
:param attraction_multiplier (string, optional): Divisor to calculate the a
ttraction force, in numeric value
:param conflict_avoidance (string, optional): Constant force applied to avo
id conflicts, in numeric value
:param defaultEdgeWeight (string, optional): The default edge weight to con
sider, default is 0.5
:param EdgeAttribute (string, optional): The name of the edge column contai
ning numeric values that will be used as weights in the layout algor
ithm. Only columns containing numeric values are shown
:param gravity_multiplier (string, optional): Multiplier to calculate the g
ravity force, in numeric value
:param layout3D (string, optional): Layout nodes in 3D; boolean values only
, true or false; defaults to true
:param max_distance_factor (string, optional): Percent of graph used for no
de repulsion calculations, in numeric value
:param maxWeightCutoff (string, optional): The maximum edge weight to consi
der, default to the Double.MAX value
:param minWeightCutoff (string, optional): The minimum edge weight to consi
der, numeric values, default is 0
:param network (string, optional): Specifies a network by name, or by SUID
if the prefix SUID: is used. The keyword CURRENT, or a blank value c
an also be used to specify the current network.
:param nIterations (string, optional): Number of iterations, in numeric val
ue
:param NodeAttribute (string, optional): The name of the node column contai
ning numeric values that will be used as weights in the layout algor
ithm. Only columns containing numeric values are shown
:param nodeList (string, optional): Specifies a list of nodes. The keywords
all, selected, or unselected can be used to specify nodes by their
selection state. The pattern COLUMN:VALUE sets this parameter to any
rows that contain the specified column value; if the COLUMN prefix
is not used, the NAME column is matched by default. A list of COLUMN
:VALUE pairs of the format COLUMN1:VALUE1,COLUMN2:VALUE2,... can be
used to match multiple values.
:param randomize (string, optional): Randomize graph before layout; boolean
values only, true or false; defaults to true
:param repulsion_multiplier (string, optional): Multiplier to calculate the
repulsion force, in numeric value
:param singlePartition (string, optional): Don't partition graph before lay
out; boolean values only, true or false; defaults to false
:param spread_factor (string, optional): Amount of extra room for layout, i
n numeric value
:param temperature (string, optional): Initial temperature, in numeric valu
e
:param Type (string, optional): How to interpret weight values; must be one
of Heuristic, -Log(value), 1 - normalized value and normalized valu
e. Defaults to Heuristic = ['Heuristic', '-Log(value)', '1 - normali
zed value', 'normalized value']
:param update_iterations (string, optional): Number of iterations before up
dating display, in numeric value (0: update only at end)
"""
network=check_network(self,network,verbose=verbose)
PARAMS=set_param(['attraction_multiplier','conflict_avoidance',\
'defaultEdgeWeight','EdgeAttribute','gravity_multiplier','layout3D',\
'max_distance_factor','maxWeightCutoff','minWeightCutoff','network',\
'nIterations','NodeAttribute','nodeList','randomize','repulsion_multiplier',\
'singlePartition','spread_factor','temperature','Type','update_iterations'],\
[attraction_multiplier,conflict_avoidance,defaultEdgeWeight,EdgeAttribute,\
gravity_multiplier,layout3D,max_distance_factor,maxWeightCutoff,\
minWeightCutoff,network,nIterations,NodeAttribute,nodeList,randomize,\
repulsion_multiplier,singlePartition,spread_factor,temperature,Type,\
update_iterations])
response=api(url=self.__url+"/fruchterman-rheingold", PARAMS=PARAMS, method="POST", verbose=verbose)
return response | [
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:param conflict_avoidance (string, optional): Constant force applied to avo
id conflicts, in numeric value
:param defaultEdgeWeight (string, optional): The default edge weight to con
sider, default is 0.5
:param EdgeAttribute (string, optional): The name of the edge column contai
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:param gravity_multiplier (string, optional): Multiplier to calculate the g
ravity force, in numeric value
:param layout3D (string, optional): Layout nodes in 3D; boolean values only
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:param max_distance_factor (string, optional): Percent of graph used for no
de repulsion calculations, in numeric value
:param maxWeightCutoff (string, optional): The maximum edge weight to consi
der, default to the Double.MAX value
:param minWeightCutoff (string, optional): The minimum edge weight to consi
der, numeric values, default is 0
:param network (string, optional): Specifies a network by name, or by SUID
if the prefix SUID: is used. The keyword CURRENT, or a blank value c
an also be used to specify the current network.
:param nIterations (string, optional): Number of iterations, in numeric val
ue
:param NodeAttribute (string, optional): The name of the node column contai
ning numeric values that will be used as weights in the layout algor
ithm. Only columns containing numeric values are shown
:param nodeList (string, optional): Specifies a list of nodes. The keywords
all, selected, or unselected can be used to specify nodes by their
selection state. The pattern COLUMN:VALUE sets this parameter to any
rows that contain the specified column value; if the COLUMN prefix
is not used, the NAME column is matched by default. A list of COLUMN
:VALUE pairs of the format COLUMN1:VALUE1,COLUMN2:VALUE2,... can be
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:param randomize (string, optional): Randomize graph before layout; boolean
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:param repulsion_multiplier (string, optional): Multiplier to calculate the
repulsion force, in numeric value
:param singlePartition (string, optional): Don't partition graph before lay
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:param spread_factor (string, optional): Amount of extra room for layout, i
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:param temperature (string, optional): Initial temperature, in numeric valu
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:param Type (string, optional): How to interpret weight values; must be one
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| python | train | 59.821918 |
lawsie/guizero | guizero/Combo.py | https://github.com/lawsie/guizero/blob/84c7f0b314fa86f9fc88eb11c9a0f6c4b57155e2/guizero/Combo.py#L284-L292 | def _set_option_by_index(self, index):
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Sets a single option in the Combo by its index, returning True if it was able too.
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| python | train | 33.333333 |
spyder-ide/spyder | spyder/plugins/variableexplorer/widgets/dataframeeditor.py | https://github.com/spyder-ide/spyder/blob/f76836ce1b924bcc4efd3f74f2960d26a4e528e0/spyder/plugins/variableexplorer/widgets/dataframeeditor.py#L1249-L1257 | def get_value(self):
"""Return modified Dataframe -- this is *not* a copy"""
# It is import to avoid accessing Qt C++ object as it has probably
# already been destroyed, due to the Qt.WA_DeleteOnClose attribute
df = self.dataModel.get_data()
if self.is_series:
return df.iloc[:, 0]
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return df | [
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| python | train | 41 |
thomasdelaet/python-velbus | velbus/messages/channel_name_request.py | https://github.com/thomasdelaet/python-velbus/blob/af2f8af43f1a24bf854eff9f3126fd7b5c41b3dd/velbus/messages/channel_name_request.py#L56-L65 | def data_to_binary(self):
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:return: bytes
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tmp = 0x00
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tmp += 0x03
if 2 in self.channels:
tmp += 0x0c
return bytes([COMMAND_CODE, tmp]) | [
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| python | train | 23.4 |
genialis/resolwe | resolwe/elastic/builder.py | https://github.com/genialis/resolwe/blob/f7bb54932c81ec0cfc5b5e80d238fceaeaa48d86/resolwe/elastic/builder.py#L310-L315 | def process_delete(self, obj, pk_set=None, action=None, update_fields=None, **kwargs):
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| python | train | 45.5 |
msztolcman/versionner | versionner/vcs/git.py | https://github.com/msztolcman/versionner/blob/78fca02859e3e3eb71c9eb7ea230758944177c54/versionner/vcs/git.py#L93-L109 | def raise_if_cant_commit(self):
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"""
cmd = self._command.status()
(code, stdout, stderr) = self._exec(cmd)
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| python | train | 36.117647 |
ansible/molecule | molecule/provisioner/ansible.py | https://github.com/ansible/molecule/blob/766dc35b0b0ce498cd5e3a62b40f828742d0d08c/molecule/provisioner/ansible.py#L807-L822 | def _link_or_update_vars(self):
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Creates or updates the symlink to group_vars and returns None.
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"""
for d, source in self.links.items():
target = os.path.join(self.inventory_directory, d)
source = os.path.join(self._config.scenario.directory, source)
if not os.path.exists(source):
msg = "The source path '{}' does not exist.".format(source)
util.sysexit_with_message(msg)
msg = "Inventory {} linked to {}".format(source, target)
LOG.info(msg)
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| python | train | 38.6875 |
pebble/libpebble2 | libpebble2/protocol/base/__init__.py | https://github.com/pebble/libpebble2/blob/23e2eb92cfc084e6f9e8c718711ac994ef606d18/libpebble2/protocol/base/__init__.py#L143-L153 | def serialise_packet(self):
"""
Serialise a message, including framing information inferred from the ``Meta`` inner class of the packet.
``self.Meta.endpoint`` must be defined to call this method.
:return: A serialised message, ready to be sent to the Pebble.
"""
if not hasattr(self, '_Meta'):
raise ReferenceError("Can't serialise a packet that doesn't have an endpoint ID.")
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| python | train | 50.363636 |
redbridge/molnctrl | molnctrl/csobjects.py | https://github.com/redbridge/molnctrl/blob/9990ae7e522ce364bb61a735f774dc28de5f8e60/molnctrl/csobjects.py#L155-L158 | def update(self):
""" Update the state """
vm = self._cs_api.list_virtualmachines(id=self.id)[0]
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| python | train | 40.5 |
zero-os/0-core | client/py-client/zeroos/core0/client/client.py | https://github.com/zero-os/0-core/blob/69f6ce845ab8b8ad805a79a415227e7ac566c218/client/py-client/zeroos/core0/client/client.py#L626-L640 | def download(self, remote, writer):
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| python | train | 28.133333 |
enkore/i3pystatus | i3pystatus/weather/__init__.py | https://github.com/enkore/i3pystatus/blob/14cfde967cecf79b40e223e35a04600f4c875af7/i3pystatus/weather/__init__.py#L276-L306 | def get_color_data(self, condition):
'''
Disambiguate similarly-named weather conditions, and return the icon
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'''
if condition not in self.color_icons:
# Check for similarly-named conditions if no exact match found
condition_lc = condition.lower()
if 'cloudy' in condition_lc or 'clouds' in condition_lc:
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elif 'thunder' in condition_lc or 't-storm' in condition_lc:
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elif 'snow' in condition_lc:
condition = 'Snow'
elif 'rain' in condition_lc or 'showers' in condition_lc:
condition = 'Rainy'
elif 'sunny' in condition_lc:
condition = 'Sunny'
elif 'clear' in condition_lc or 'fair' in condition_lc:
condition = 'Fair'
elif 'fog' in condition_lc:
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return self.color_icons['default'] \
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| python | train | 42.096774 |
wummel/dosage | dosagelib/util.py | https://github.com/wummel/dosage/blob/a0109c3a46219f280e6e5e77183674e40da0f304/dosagelib/util.py#L268-L275 | def check_robotstxt(url, session):
"""Check if robots.txt allows our user agent for the given URL.
@raises: IOError if URL is not allowed
"""
roboturl = get_roboturl(url)
rp = get_robotstxt_parser(roboturl, session=session)
if not rp.can_fetch(UserAgent, str(url)):
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| python | train | 43.5 |
inveniosoftware/invenio-oauthclient | invenio_oauthclient/handlers.py | https://github.com/inveniosoftware/invenio-oauthclient/blob/2500dc6935738107617aeade79e050d7608004bb/invenio_oauthclient/handlers.py#L351-L373 | def disconnect_handler(remote, *args, **kwargs):
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before removing the link (e.g. removing install webhooks).
:param remote: The remote application.
:returns: Redirect response.
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if not current_user.is_authenticated:
return current_app.login_manager.unauthorized()
with db.session.begin_nested():
account = RemoteAccount.get(
user_id=current_user.get_id(),
client_id=remote.consumer_key
)
if account:
account.delete()
db.session.commit()
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| python | train | 33.652174 |
openpermissions/perch | perch/views.py | https://github.com/openpermissions/perch/blob/36d78994133918f3c52c187f19e50132960a0156/perch/views.py#L50-L65 | def create_design_doc(self):
"""Create a design document from a Python map function"""
source = [x for x in inspect.getsourcelines(self.func)[0]
if not x.startswith('@')]
doc = {
'_id': '_design/{}'.format(self.name),
'language': 'python',
'views': {
self.name: {
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}
return doc | [
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| python | train | 28 |
bwhite/hadoopy | hadoopy/_hdfs.py | https://github.com/bwhite/hadoopy/blob/ff39b4e6d4e6efaf1f571cf0f2c0e0d7ab28c2d6/hadoopy/_hdfs.py#L193-L201 | def put(local_path, hdfs_path):
"""Put a file on hdfs
:param local_path: Source (str)
:param hdfs_path: Destination (str)
:raises: IOError: If unsuccessful
"""
cmd = "hadoop fs -put %s %s" % (local_path, hdfs_path)
rcode, stdout, stderr = _checked_hadoop_fs_command(cmd) | [
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| python | train | 32.333333 |
StackStorm/pybind | pybind/slxos/v17s_1_02/qos_mpls/map_apply/__init__.py | https://github.com/StackStorm/pybind/blob/44c467e71b2b425be63867aba6e6fa28b2cfe7fb/pybind/slxos/v17s_1_02/qos_mpls/map_apply/__init__.py#L100-L121 | def _set_apply_exp_traffic_class_map_name(self, v, load=False):
"""
Setter method for apply_exp_traffic_class_map_name, mapped from YANG variable /qos_mpls/map_apply/apply_exp_traffic_class_map_name (container)
If this variable is read-only (config: false) in the
source YANG file, then _set_apply_exp_traffic_class_map_name is considered as a private
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do so via calling thisObj._set_apply_exp_traffic_class_map_name() directly.
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=apply_exp_traffic_class_map_name.apply_exp_traffic_class_map_name, is_container='container', presence=False, yang_name="apply-exp-traffic-class-map-name", rest_name="exp-traffic-class", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Apply exp traffic class map', u'cli-sequence-commands': None, u'alt-name': u'exp-traffic-class', u'cli-incomplete-no': None}}, namespace='urn:brocade.com:mgmt:brocade-apply-qos-mpls', defining_module='brocade-apply-qos-mpls', yang_type='container', is_config=True)
except (TypeError, ValueError):
raise ValueError({
'error-string': """apply_exp_traffic_class_map_name must be of a type compatible with container""",
'defined-type': "container",
'generated-type': """YANGDynClass(base=apply_exp_traffic_class_map_name.apply_exp_traffic_class_map_name, is_container='container', presence=False, yang_name="apply-exp-traffic-class-map-name", rest_name="exp-traffic-class", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Apply exp traffic class map', u'cli-sequence-commands': None, u'alt-name': u'exp-traffic-class', u'cli-incomplete-no': None}}, namespace='urn:brocade.com:mgmt:brocade-apply-qos-mpls', defining_module='brocade-apply-qos-mpls', yang_type='container', is_config=True)""",
})
self.__apply_exp_traffic_class_map_name = t
if hasattr(self, '_set'):
self._set() | [
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| python | train | 96.772727 |
mlperf/training | rnn_translator/pytorch/seq2seq/train/fp_optimizers.py | https://github.com/mlperf/training/blob/1c6ae725a81d15437a2b2df05cac0673fde5c3a4/rnn_translator/pytorch/seq2seq/train/fp_optimizers.py#L149-L163 | def step(self, loss, optimizer, scheduler, update=True):
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Performs one step of the optimizer.
:param loss: value of loss function
:param optimizer: optimizer
:param update: if True executes weight update
"""
loss.backward()
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| python | train | 33.4 |
f3at/feat | tools/pep8.py | https://github.com/f3at/feat/blob/15da93fc9d6ec8154f52a9172824e25821195ef8/tools/pep8.py#L608-L647 | def check_all(self):
"""
Run all checks on the input file.
"""
self.file_errors = 0
self.line_number = 0
self.indent_char = None
self.indent_level = 0
self.previous_logical = ''
self.blank_lines = 0
self.tokens = []
parens = 0
for token in tokenize.generate_tokens(self.readline_check_physical):
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self.tokens.append(token)
token_type, text = token[0:2]
if token_type == tokenize.OP and text in '([{':
parens += 1
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parens -= 1
if token_type == tokenize.NEWLINE and not parens:
self.check_logical()
self.blank_lines = 0
self.tokens = []
if token_type == tokenize.NL and not parens:
if len(self.tokens) <= 1:
# The physical line contains only this token.
self.blank_lines += 1
self.tokens = []
if token_type == tokenize.COMMENT:
source_line = token[4]
token_start = token[2][1]
if source_line[:token_start].strip() == '':
self.blank_lines = 0
if text.endswith('\n') and not parens:
# The comment also ends a physical line. This works around
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self.tokens = []
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| python | train | 41.3 |
pypa/pipenv | pipenv/patched/notpip/_vendor/pkg_resources/__init__.py | https://github.com/pypa/pipenv/blob/cae8d76c210b9777e90aab76e9c4b0e53bb19cde/pipenv/patched/notpip/_vendor/pkg_resources/__init__.py#L1028-L1035 | def add(self, dist):
"""Add `dist` if we ``can_add()`` it and it has not already been added
"""
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if dist not in dists:
dists.append(dist)
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| python | train | 45.375 |
xtrementl/focus | focus/plugin/modules/im.py | https://github.com/xtrementl/focus/blob/cbbbc0b49a7409f9e0dc899de5b7e057f50838e4/focus/plugin/modules/im.py#L93-L119 | def _pidgin_status(status, message):
""" Updates status and message for Pidgin IM application.
`status`
Status type.
`message`
Status message.
"""
try:
iface = _dbus_get_interface('im.pidgin.purple.PurpleService',
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if iface:
# create new transient status
code = PIDGIN_CODE_MAP[status]
saved_status = iface.PurpleSavedstatusNew('', code)
# set the message, if provided
iface.PurpleSavedstatusSetMessage(saved_status, message)
# activate status
iface.PurpleSavedstatusActivate(saved_status)
except dbus.exceptions.DBusException:
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| python | train | 30.407407 |
oauthlib/oauthlib | oauthlib/oauth1/rfc5849/signature.py | https://github.com/oauthlib/oauthlib/blob/30321dd3c0ca784d3508a1970cf90d9f76835c79/oauthlib/oauth1/rfc5849/signature.py#L634-L661 | def verify_hmac_sha1(request, client_secret=None,
resource_owner_secret=None):
"""Verify a HMAC-SHA1 signature.
Per `section 3.4`_ of the spec.
.. _`section 3.4`: https://tools.ietf.org/html/rfc5849#section-3.4
To satisfy `RFC2616 section 5.2`_ item 1, the request argument's uri
attribute MUST be an absolute URI whose netloc part identifies the
origin server or gateway on which the resource resides. Any Host
item of the request argument's headers dict attribute will be
ignored.
.. _`RFC2616 section 5.2`: https://tools.ietf.org/html/rfc2616#section-5.2
"""
norm_params = normalize_parameters(request.params)
bs_uri = base_string_uri(request.uri)
sig_base_str = signature_base_string(request.http_method, bs_uri,
norm_params)
signature = sign_hmac_sha1(sig_base_str, client_secret,
resource_owner_secret)
match = safe_string_equals(signature, request.signature)
if not match:
log.debug('Verify HMAC-SHA1 failed: signature base string: %s',
sig_base_str)
return match | [
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| python | train | 40.535714 |
d0c-s4vage/pfp | pfp/fields.py | https://github.com/d0c-s4vage/pfp/blob/32f2d34fdec1c70019fa83c7006d5e3be0f92fcd/pfp/fields.py#L759-L777 | def _pfp__build(self, stream=None, save_offset=False):
"""Build the field and write the result into the stream
:stream: An IO stream that can be written to
:returns: None
"""
if save_offset and stream is not None:
self._pfp__offset = stream.tell()
# returns either num bytes written or total data
res = utils.binary("") if stream is None else 0
# iterate IN ORDER
for child in self._pfp__children:
child_res = child._pfp__build(stream, save_offset)
res += child_res
return res | [
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| python | train | 30.473684 |
neurosynth/neurosynth | neurosynth/analysis/classify.py | https://github.com/neurosynth/neurosynth/blob/948ce7edce15d7df693446e76834e0c23bfe8f11/neurosynth/analysis/classify.py#L150-L209 | def classify_regions(dataset, masks, method='ERF', threshold=0.08,
remove_overlap=True, regularization='scale',
output='summary', studies=None, features=None,
class_weight='auto', classifier=None,
cross_val='4-Fold', param_grid=None, scoring='accuracy'):
""" Perform classification on specified regions
Given a set of masks, this function retrieves studies associated with
each mask at the specified threshold, optionally removes overlap and
filters by studies and features. Then it trains an algorithm to
classify studies based on features and tests performance.
Args:
dataset: a Neurosynth dataset
maks: a list of paths to Nifti masks
method: a string indicating which method to used.
'SVM': Support Vector Classifier with rbf kernel
'ERF': Extremely Randomized Forest classifier
'Dummy': A dummy classifier using stratified classes as
predictor
threshold: percentage of voxels active within the mask for study
to be included
remove_overlap: A boolean indicating if studies studies that
appear in more than one mask should be excluded
regularization: A string indicating type of regularization to use.
If None, performs no regularization.
'scale': Unit scale without demeaning
output: A string indicating output type
'summary': Dictionary with summary statistics including score
and n
'summary_clf': Same as above but also includes classifier
'clf': Only returns classifier
Warning: using cv without grid will return an untrained
classifier
studies: An optional list of study names used to constrain the set
used in classification. If None, will use all features in the
dataset.
features: An optional list of feature names used to constrain the
set used in classification. If None, will use all features in
the dataset.
class_weight: Parameter to pass to classifier determining how to
weight classes
classifier: An optional sci-kit learn classifier to use instead of
pre-set up classifiers set up using 'method'
cross_val: A string indicating type of cross validation to use.
Can also pass a scikit_classifier
param_grid: A dictionary indicating which parameters to optimize
using GridSearchCV. If None, no GridSearch will be used
Returns:
A tuple (X, y) of np arrays.
X is a feature by studies matrix and y is a vector of class labels
"""
(X, y) = get_studies_by_regions(dataset, masks, threshold, remove_overlap,
studies, features,
regularization=regularization)
return classify(X, y, method, classifier, output, cross_val,
class_weight, scoring=scoring, param_grid=param_grid) | [
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dataset: a Neurosynth dataset
maks: a list of paths to Nifti masks
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'SVM': Support Vector Classifier with rbf kernel
'ERF': Extremely Randomized Forest classifier
'Dummy': A dummy classifier using stratified classes as
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remove_overlap: A boolean indicating if studies studies that
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param_grid: A dictionary indicating which parameters to optimize
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| python | test | 53.45 |
jrief/djangocms-cascade | cmsplugin_cascade/plugin_base.py | https://github.com/jrief/djangocms-cascade/blob/58996f990c4068e5d50f0db6030a5c0e06b682e5/cmsplugin_cascade/plugin_base.py#L480-L488 | def in_edit_mode(self, request, placeholder):
"""
Returns True, if the plugin is in "edit mode".
"""
toolbar = getattr(request, 'toolbar', None)
edit_mode = getattr(toolbar, 'edit_mode', False) and getattr(placeholder, 'is_editable', True)
if edit_mode:
edit_mode = placeholder.has_change_permission(request.user)
return edit_mode | [
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| python | train | 43.333333 |
ehansis/ozelot | ozelot/etl/tasks.py | https://github.com/ehansis/ozelot/blob/948675e02eb6fca940450f5cb814f53e97159e5b/ozelot/etl/tasks.py#L18-L32 | def get_task_param_string(task):
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Returns:
str: task parameter string
"""
# get dict str -> str from luigi
param_dict = task.to_str_params()
# sort keys, serialize
items = []
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items.append("'{:s}': '{:s}'".format(key, param_dict[key]))
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| python | train | 26.266667 |
xtuml/pyxtuml | bridgepoint/oal.py | https://github.com/xtuml/pyxtuml/blob/7dd9343b9a0191d1db1887ab9288d0a026608d9a/bridgepoint/oal.py#L1634-L1638 | def p_navigation_step_2(self, p):
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p[0] = NavigationStepNode(key_letter=p[2],
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phrase=p[6]) | [
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| python | test | 51.4 |
aiogram/aiogram | aiogram/contrib/middlewares/logging.py | https://github.com/aiogram/aiogram/blob/2af930149ce2482547721e2c8755c10307295e48/aiogram/contrib/middlewares/logging.py#L233-L245 | def make_prefix(self, prefix, iterable):
"""
Add prefix to the label
:param prefix:
:param iterable:
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if not prefix:
yield from iterable
for key, value in iterable:
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| python | train | 21.923077 |
bunq/sdk_python | bunq/sdk/model/generated/endpoint.py | https://github.com/bunq/sdk_python/blob/da6c9b83e6d83ee8062617f53c6eb7293c0d863d/bunq/sdk/model/generated/endpoint.py#L6532-L6544 | def get_referenced_object(self):
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| python | train | 26.538462 |
yyuu/botornado | boto/dynamodb/layer2.py | https://github.com/yyuu/botornado/blob/fffb056f5ff2324d1d5c1304014cfb1d899f602e/boto/dynamodb/layer2.py#L299-L316 | def list_tables(self, limit=None, start_table=None):
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Return a list of the names of all Tables associated with the
current account and region.
TODO - Layer2 should probably automatically handle pagination.
:type limit: int
:param limit: The maximum number of tables to return.
:type start_table: str
:param limit: The name of the table that starts the
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result = self.layer1.list_tables(limit, start_table)
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| python | train | 41.666667 |
geophysics-ubonn/reda | lib/reda/containers/SIP.py | https://github.com/geophysics-ubonn/reda/blob/46a939729e40c7c4723315c03679c40761152e9e/lib/reda/containers/SIP.py#L92-L153 | def reduce_duplicate_frequencies(self):
"""In case multiple frequencies were measured, average them and compute
std, min, max values for zt.
In case timesteps were added (i.e., multiple separate measurements),
group over those and average for each timestep.
Examples
--------
::
import tempfile
import reda
with tempfile.TemporaryDirectory() as fid:
reda.data.download_data('sip04_fs_06', fid)
sip = reda.SIP()
sip.import_sip04(fid + '/sip_dataA.mat', timestep=0)
# well, add the spectrum again as another timestep
sip.import_sip04(fid + '/sip_dataA.mat', timestep=1)
df = sip.reduce_duplicate_frequencies()
"""
group_keys = ['frequency', ]
if 'timestep' in self.data.columns:
group_keys = group_keys + ['timestep', ]
g = self.data.groupby(group_keys)
def group_apply(item):
y = item[['zt_1', 'zt_2', 'zt_3']].values.flatten()
zt_imag_std = np.std(y.imag)
zt_real_std = np.std(y.real)
zt_imag_min = np.min(y.imag)
zt_real_min = np.min(y.real)
zt_imag_max = np.max(y.imag)
zt_real_max = np.max(y.real)
zt_imag_mean = np.mean(y.imag)
zt_real_mean = np.mean(y.real)
dfn = pd.DataFrame(
{
'zt_real_mean': zt_real_mean,
'zt_real_std': zt_real_std,
'zt_real_min': zt_real_min,
'zt_real_max': zt_real_max,
'zt_imag_mean': zt_imag_mean,
'zt_imag_std': zt_imag_std,
'zt_imag_min': zt_imag_min,
'zt_imag_max': zt_imag_max,
},
index=[0, ]
)
dfn['count'] = len(y)
dfn.index.name = 'index'
return dfn
p = g.apply(group_apply)
p.index = p.index.droplevel('index')
if len(group_keys) > 1:
p = p.swaplevel(0, 1).sort_index()
return p | [
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group over those and average for each timestep.
Examples
--------
::
import tempfile
import reda
with tempfile.TemporaryDirectory() as fid:
reda.data.download_data('sip04_fs_06', fid)
sip = reda.SIP()
sip.import_sip04(fid + '/sip_dataA.mat', timestep=0)
# well, add the spectrum again as another timestep
sip.import_sip04(fid + '/sip_dataA.mat', timestep=1)
df = sip.reduce_duplicate_frequencies() | [
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| python | train | 34.209677 |
google/transitfeed | kmlwriter.py | https://github.com/google/transitfeed/blob/eb2991a3747ba541b2cb66502b305b6304a1f85f/kmlwriter.py#L415-L436 | def _CreateStopPlacemark(self, stop_folder, stop, style_id):
"""Creates a new stop <Placemark/> element.
Args:
stop_folder: the KML folder the placemark will be added to.
stop: the actual Stop to create a placemark for.
style_id: optional argument indicating a style id to add to the placemark.
"""
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desc_items.append("Stop id: %s" % stop.stop_id)
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desc_items.append(stop.stop_desc)
if stop.stop_url:
desc_items.append('Stop info page: <a href="%s">%s</a>' % (
stop.stop_url, stop.stop_url))
description = '<br/>'.join(desc_items) or None
placemark = self._CreatePlacemark(stop_folder, stop.stop_name,
description=description,
style_id=style_id)
point = ET.SubElement(placemark, 'Point')
coordinates = ET.SubElement(point, 'coordinates')
coordinates.text = '%.6f,%.6f' % (stop.stop_lon, stop.stop_lat) | [
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| python | train | 44.636364 |
qweeze/wex-api-client | wex/client.py | https://github.com/qweeze/wex-api-client/blob/e84d139be229aab2c7c5eda5976b812be651807b/wex/client.py#L233-L250 | def create_coupon(self, currency, amount, receiver):
"""
This method allows you to create Coupons.
Please, note: In order to use this method, you need the Coupon key privilege. You can make a request to
enable it by submitting a ticket to Support..
You need to create the API key that you are going to use for this method in advance. Please provide
the first 8 characters of the key (e.g. HKG82W66) in your ticket to support. We'll enable the Coupon privilege
for this key.
You must also provide us the IP-addresses from which you will be accessing the API.
When using this method, there will be no additional confirmations of transactions. Please note that you are
fully responsible for keeping the secret of the API key safe after we have enabled the Withdraw
privilege for it.
:param str currency: currency (ex. 'BTC')
:param int amount: withdrawal amount
:param str receiver: name of user who is allowed to redeem the code
"""
return self._trade_api_call('CreateCoupon', currency=currency, amount=amount, receiver=receiver) | [
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| python | train | 63.277778 |
Rapptz/discord.py | discord/shard.py | https://github.com/Rapptz/discord.py/blob/05d4f7f9620ef33635d6ac965b26528e09cdaf5b/discord/shard.py#L297-L359 | async def change_presence(self, *, activity=None, status=None, afk=False, shard_id=None):
"""|coro|
Changes the client's presence.
The activity parameter is a :class:`Activity` object (not a string) that represents
the activity being done currently. This could also be the slimmed down versions,
:class:`Game` and :class:`Streaming`.
Example: ::
game = discord.Game("with the API")
await client.change_presence(status=discord.Status.idle, activity=game)
Parameters
----------
activity: Optional[Union[:class:`Game`, :class:`Streaming`, :class:`Activity`]]
The activity being done. ``None`` if no currently active activity is done.
status: Optional[:class:`Status`]
Indicates what status to change to. If None, then
:attr:`Status.online` is used.
afk: :class:`bool`
Indicates if you are going AFK. This allows the discord
client to know how to handle push notifications better
for you in case you are actually idle and not lying.
shard_id: Optional[:class:`int`]
The shard_id to change the presence to. If not specified
or ``None``, then it will change the presence of every
shard the bot can see.
Raises
------
InvalidArgument
If the ``activity`` parameter is not of proper type.
"""
if status is None:
status = 'online'
status_enum = Status.online
elif status is Status.offline:
status = 'invisible'
status_enum = Status.offline
else:
status_enum = status
status = str(status)
if shard_id is None:
for shard in self.shards.values():
await shard.ws.change_presence(activity=activity, status=status, afk=afk)
guilds = self._connection.guilds
else:
shard = self.shards[shard_id]
await shard.ws.change_presence(activity=activity, status=status, afk=afk)
guilds = [g for g in self._connection.guilds if g.shard_id == shard_id]
for guild in guilds:
me = guild.me
if me is None:
continue
me.activities = (activity,)
me.status = status_enum | [
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the activity being done currently. This could also be the slimmed down versions,
:class:`Game` and :class:`Streaming`.
Example: ::
game = discord.Game("with the API")
await client.change_presence(status=discord.Status.idle, activity=game)
Parameters
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activity: Optional[Union[:class:`Game`, :class:`Streaming`, :class:`Activity`]]
The activity being done. ``None`` if no currently active activity is done.
status: Optional[:class:`Status`]
Indicates what status to change to. If None, then
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afk: :class:`bool`
Indicates if you are going AFK. This allows the discord
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shard_id: Optional[:class:`int`]
The shard_id to change the presence to. If not specified
or ``None``, then it will change the presence of every
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Raises
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InvalidArgument
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"|coro|"
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| python | train | 36.730159 |
AtteqCom/zsl | src/zsl/utils/cache_helper.py | https://github.com/AtteqCom/zsl/blob/ab51a96da1780ff642912396d4b85bdcb72560c1/src/zsl/utils/cache_helper.py#L181-L194 | def create_key_for_data(prefix, data, key_params):
"""
From ``data`` params in task create corresponding key with help of ``key_params`` (defined in decorator)
"""
d = data.get_data()
values = []
for k in key_params:
if k in d and type(d[k]) is list:
values.append("{0}:{1}".format(k, " -".join(d[k])))
else:
value = d[k] if k in d else ''
values.append("{0}:{1}".format(k, value))
return "{0}-{1}".format(prefix, "-".join(values)) | [
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| python | train | 35.642857 |
baliame/http-hmac-python | httphmac/v2.py | https://github.com/baliame/http-hmac-python/blob/9884c0cbfdb712f9f37080a8efbfdce82850785f/httphmac/v2.py#L165-L177 | def unroll_auth_headers(self, authheaders, exclude_signature=False, sep=",", quote=True):
"""Converts an authorization header dict-like object into a string representing the authorization.
Keyword arguments:
authheaders -- A string-indexable object which contains the headers appropriate for this signature version.
"""
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| python | train | 59.923077 |
materialsproject/pymatgen | pymatgen/io/abinit/flows.py | https://github.com/materialsproject/pymatgen/blob/4ca558cf72f8d5f8a1f21dfdfc0181a971c186da/pymatgen/io/abinit/flows.py#L268-L275 | def reload(self):
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| python | train | 44 |
fabiobatalha/crossrefapi | crossref/restful.py | https://github.com/fabiobatalha/crossrefapi/blob/53f84ee0d8a8fc6ad9b2493f51c5151e66d2faf7/crossref/restful.py#L1594-L1603 | def works(self, prefix_id):
"""
This method retrieve a iterable of Works of the given prefix.
args: Crossref Prefix (String)
return: Works()
"""
context = '%s/%s' % (self.ENDPOINT, str(prefix_id))
return Works(context=context) | [
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| python | train | 27.5 |
cloudendpoints/endpoints-python | endpoints/endpoints_dispatcher.py | https://github.com/cloudendpoints/endpoints-python/blob/00dd7c7a52a9ee39d5923191c2604b8eafdb3f24/endpoints/endpoints_dispatcher.py#L683-L696 | def transform_rest_response(self, response_body):
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Args:
response_body: A string containing the backend response.
Returns:
A reformatted version of the response JSON.
"""
body_json = json.loads(response_body)
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| python | train | 34.857143 |
chaoss/grimoirelab-manuscripts | manuscripts/report.py | https://github.com/chaoss/grimoirelab-manuscripts/blob/94a3ad4f11bfbcd6c5190e01cb5d3e47a5187cd9/manuscripts/report.py#L556-L616 | def sec_project_community(self, project=None):
"""
Generate the data for the Communication section in a Project report
:return:
"""
def create_csv(metric1, csv_labels, file_label):
esfilters = None
csv_labels = csv_labels.replace("_", "") # LaTeX not supports "_"
if project != self.GLOBAL_PROJECT:
esfilters = {"project": project}
data_path = os.path.join(self.data_dir, "data")
file_name = os.path.join(data_path, file_label + "_" + project + ".csv")
logger.debug("CSV file %s generation in progress", file_name)
m1 = metric1(self.es_url, self.get_metric_index(metric1),
esfilters=esfilters, start=self.end_prev_month, end=self.end)
top = m1.get_list()
csv = csv_labels + '\n'
for i in range(0, len(top['value'])):
if i > self.TOP_MAX:
break
csv += top[metric1.FIELD_NAME][i] + "," + self.str_val(top['value'][i])
csv += "\n"
with open(file_name, "w") as f:
f.write(csv)
logger.debug("CSV file %s was generated", file_name)
logger.info("Community data for: %s", project)
author = self.config['project_community']['author_metrics'][0]
csv_labels = 'labels,' + author.id
file_label = author.ds.name + "_" + author.id
title_label = author.name + " per " + self.interval
self.__create_csv_eps(author, None, csv_labels, file_label, title_label,
project)
"""
Main developers
"""
metric = self.config['project_community']['people_top_metrics'][0]
# TODO: Commits must be extracted from metric
csv_labels = author.id + ",commits"
file_label = author.ds.name + "_top_" + author.id
create_csv(metric, csv_labels, file_label)
"""
Main organizations
"""
orgs = self.config['project_community']['orgs_top_metrics'][0]
# TODO: Commits must be extracted from metric
csv_labels = orgs.id + ",commits"
file_label = orgs.ds.name + "_top_" + orgs.id
create_csv(orgs, csv_labels, file_label) | [
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| python | train | 36.754098 |
StackStorm/pybind | pybind/slxos/v17s_1_02/bd_vc_peer_state/__init__.py | https://github.com/StackStorm/pybind/blob/44c467e71b2b425be63867aba6e6fa28b2cfe7fb/pybind/slxos/v17s_1_02/bd_vc_peer_state/__init__.py#L141-L164 | def _set_bd_vc_peer_counter(self, v, load=False):
"""
Setter method for bd_vc_peer_counter, mapped from YANG variable /bd_vc_peer_state/bd_vc_peer_counter (container)
If this variable is read-only (config: false) in the
source YANG file, then _set_bd_vc_peer_counter is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_bd_vc_peer_counter() directly.
YANG Description: VC peer counters
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=bd_vc_peer_counter.bd_vc_peer_counter, is_container='container', presence=False, yang_name="bd-vc-peer-counter", rest_name="bd-vc-peer-counter", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'callpoint': u'pwm-bd-vc-peer-counter', u'cli-suppress-show-path': None}}, namespace='urn:brocade.com:mgmt:brocade-pwm-operational', defining_module='brocade-pwm-operational', yang_type='container', is_config=False)
except (TypeError, ValueError):
raise ValueError({
'error-string': """bd_vc_peer_counter must be of a type compatible with container""",
'defined-type': "container",
'generated-type': """YANGDynClass(base=bd_vc_peer_counter.bd_vc_peer_counter, is_container='container', presence=False, yang_name="bd-vc-peer-counter", rest_name="bd-vc-peer-counter", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'callpoint': u'pwm-bd-vc-peer-counter', u'cli-suppress-show-path': None}}, namespace='urn:brocade.com:mgmt:brocade-pwm-operational', defining_module='brocade-pwm-operational', yang_type='container', is_config=False)""",
})
self.__bd_vc_peer_counter = t
if hasattr(self, '_set'):
self._set() | [
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| python | train | 77.833333 |
ensime/ensime-vim | ensime_shared/client.py | https://github.com/ensime/ensime-vim/blob/caa734e84f002b25446c615706283a74edd4ecfe/ensime_shared/client.py#L272-L279 | def set_position(self, decl_pos):
"""Set editor position from ENSIME declPos data."""
if decl_pos["typehint"] == "LineSourcePosition":
self.editor.set_cursor(decl_pos['line'], 0)
else: # OffsetSourcePosition
point = decl_pos["offset"]
row, col = self.editor.point2pos(point + 1)
self.editor.set_cursor(row, col) | [
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| python | train | 47.125 |
Erotemic/utool | utool/util_alg.py | https://github.com/Erotemic/utool/blob/3b27e1f4e6e6fb23cd8744af7b7195b57d99e03a/utool/util_alg.py#L2632-L2728 | def solve_boolexpr():
"""
sudo pip install git+https://github.com/tpircher/quine-mccluskey.git
sudo pip uninstall quine_mccluskey
pip uninstall quine_mccluskey
pip install git+https://github.com/tpircher/quine-mccluskey.git
Args:
varnames (?):
Returns:
?:
CommandLine:
python -m utool.util_alg solve_boolexpr --show
Example:
>>> # DISABLE_DOCTEST
>>> from utool.util_alg import * # NOQA
>>> import utool as ut
>>> varnames = ['sa', 'said', 'aid']
>>> result = solve_boolexpr()
>>> print(result)
"""
#false_cases = [
# int('111', 2),
# int('011', 2),
# int('001', 2),
#]
#true_cases = list(set(range(2 ** 3)) - set(false_cases))
varnames = ['sa', 'said', 'aid']
#import utool as ut
truth_table = [
dict(sa=True, said=True, aid=True, output=False),
dict(sa=True, said=True, aid=False, output=True),
dict(sa=True, said=False, aid=True, output=True),
dict(sa=True, said=False, aid=False, output=True),
dict(sa=False, said=True, aid=True, output=False),
dict(sa=False, said=True, aid=False, output=True),
dict(sa=False, said=False, aid=True, output=False),
dict(sa=False, said=False, aid=False, output=True),
]
truth_tuples = [ut.dict_take(d, varnames) for d in truth_table]
outputs = [d['output'] for d in truth_table]
true_tuples = ut.compress(truth_tuples, outputs)
#false_tuples = ut.compress(truth_tuples, ut.not_list(outputs))
true_cases = [''.join([str(int(t)) for t in tup]) for tup in true_tuples]
true_cases = [''.join([str(int(t)) for t in tup]) for tup in true_tuples]
#truth_nums = [int(s, 2) for s in true_cases]
from quine_mccluskey.qm import QuineMcCluskey
qm = QuineMcCluskey(use_xor=False)
result = qm.simplify_los(true_cases, num_bits=len(varnames))
print(result)
#ut.chr_range(3)
#symbol_map = {
# '-': '',
# '1': '{v}',
# '0': 'not {v}',
# '^': '^',
#}
#'-' don't care: this bit can be either zero or one.
#'1' the bit must be one.
#'0' the bit must be zero.
#'^' all bits with the caret are XOR-ed together.
#'~' all bits with the tilde are XNOR-ed together.
#formulas = [[symbol_map[r].format(v=v) for v, r in zip(varnames, rs)] for rs in result]
grouped_terms = [dict(ut.group_items(varnames, rs)) for rs in result]
def parenjoin(char, list_):
if len(list_) == 0:
return ''
else:
return '(' + char.join(list_) + ')'
expanded_terms = [
(
term.get('1', []) +
['(not ' + b + ')' for b in term.get('0', [])] +
[
parenjoin(' ^ ', term.get('^', [])),
parenjoin(' ~ ', term.get('~', [])),
]
) for term in grouped_terms
]
final_terms = [[t for t in term if t] for term in expanded_terms]
products = [parenjoin(' and ', [f for f in form if f]) for form in final_terms]
final_expr = ' or '.join(products)
print(final_expr) | [
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| sudo pip install git+https://github.com/tpircher/quine-mccluskey.git
sudo pip uninstall quine_mccluskey
pip uninstall quine_mccluskey
pip install git+https://github.com/tpircher/quine-mccluskey.git
Args:
varnames (?):
Returns:
?:
CommandLine:
python -m utool.util_alg solve_boolexpr --show
Example:
>>> # DISABLE_DOCTEST
>>> from utool.util_alg import * # NOQA
>>> import utool as ut
>>> varnames = ['sa', 'said', 'aid']
>>> result = solve_boolexpr()
>>> print(result) | [
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| python | train | 31.587629 |
Gandi/gandi.cli | gandi/cli/modules/disk.py | https://github.com/Gandi/gandi.cli/blob/6ee5b8fc8ec44b0a6c232043ca610606ad8f693d/gandi/cli/modules/disk.py#L236-L272 | def create(cls, name, vm, size, snapshotprofile, datacenter,
source, disk_type='data', background=False):
""" Create a disk and attach it to a vm. """
if isinstance(size, tuple):
prefix, size = size
if source:
size = None
disk_params = cls.disk_param(name, size, snapshotprofile)
disk_params['datacenter_id'] = int(Datacenter.usable_id(datacenter))
disk_params['type'] = disk_type
if source:
disk_id = int(Image.usable_id(source,
disk_params['datacenter_id']))
result = cls.call('hosting.disk.create_from', disk_params, disk_id)
else:
result = cls.call('hosting.disk.create', disk_params)
if background and not vm:
return result
# interactive mode, run a progress bar
cls.echo('Creating your disk.')
cls.display_progress(result)
if not vm:
return
vm_id = Iaas.usable_id(vm)
result = cls._attach(result['disk_id'], vm_id)
if background:
return result
cls.echo('Attaching your disk.')
cls.display_progress(result) | [
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| python | train | 31.891892 |
dcwatson/drill | drill.py | https://github.com/dcwatson/drill/blob/b8a30ec0fd5b5bf55154bd44c1c75f5f5945691b/drill.py#L307-L312 | def items(self):
"""
A generator yielding ``(key, value)`` attribute pairs, sorted by key name.
"""
for key in sorted(self.attrs):
yield key, self.attrs[key] | [
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| python | valid | 32.666667 |
divio/cmsplugin-filer | cmsplugin_filer_teaser/cms_plugins.py | https://github.com/divio/cmsplugin-filer/blob/4f9b0307dd768852ead64e651b743a165b3efccb/cmsplugin_filer_teaser/cms_plugins.py#L42-L75 | def _get_thumbnail_options(self, context, instance):
"""
Return the size and options of the thumbnail that should be inserted
"""
width, height = None, None
subject_location = False
placeholder_width = context.get('width', None)
placeholder_height = context.get('height', None)
if instance.use_autoscale and placeholder_width:
# use the placeholder width as a hint for sizing
width = int(placeholder_width)
if instance.use_autoscale and placeholder_height:
height = int(placeholder_height)
elif instance.width:
width = instance.width
if instance.height:
height = instance.height
if instance.image:
if instance.image.subject_location:
subject_location = instance.image.subject_location
if not height and width:
# height was not externally defined: use ratio to scale it by the width
height = int(float(width) * float(instance.image.height) / float(instance.image.width))
if not width and height:
# width was not externally defined: use ratio to scale it by the height
width = int(float(height) * float(instance.image.width) / float(instance.image.height))
if not width:
# width is still not defined. fallback the actual image width
width = instance.image.width
if not height:
# height is still not defined. fallback the actual image height
height = instance.image.height
return {'size': (width, height),
'subject_location': subject_location} | [
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| python | train | 49.735294 |
f3at/feat | tools/pep8.py | https://github.com/f3at/feat/blob/15da93fc9d6ec8154f52a9172824e25821195ef8/tools/pep8.py#L510-L518 | def readline_check_physical(self):
"""
Check and return the next physical line. This method can be
used to feed tokenize.generate_tokens.
"""
line = self.readline()
if line:
self.check_physical(line)
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| python | train | 30.111111 |
juju/charm-helpers | charmhelpers/fetch/centos.py | https://github.com/juju/charm-helpers/blob/aa785c40c3b7a8c69dbfbc7921d6b9f30142e171/charmhelpers/fetch/centos.py#L140-L171 | def _run_yum_command(cmd, fatal=False):
"""Run an YUM command.
Checks the output and retry if the fatal flag is set to True.
:param: cmd: str: The yum command to run.
:param: fatal: bool: Whether the command's output should be checked and
retried.
"""
env = os.environ.copy()
if fatal:
retry_count = 0
result = None
# If the command is considered "fatal", we need to retry if the yum
# lock was not acquired.
while result is None or result == YUM_NO_LOCK:
try:
result = subprocess.check_call(cmd, env=env)
except subprocess.CalledProcessError as e:
retry_count = retry_count + 1
if retry_count > YUM_NO_LOCK_RETRY_COUNT:
raise
result = e.returncode
log("Couldn't acquire YUM lock. Will retry in {} seconds."
"".format(YUM_NO_LOCK_RETRY_DELAY))
time.sleep(YUM_NO_LOCK_RETRY_DELAY)
else:
subprocess.call(cmd, env=env) | [
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| python | train | 32.4375 |
Iotic-Labs/py-IoticAgent | src/IoticAgent/IOT/Client.py | https://github.com/Iotic-Labs/py-IoticAgent/blob/893e8582ad1dacfe32dfc0ee89452bbd6f57d28d/src/IoticAgent/IOT/Client.py#L621-L627 | def _get_point_data_handler_for(self, point):
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with self.__point_data_handlers:
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| python | train | 49.285714 |
juju/charm-helpers | charmhelpers/contrib/openstack/audits/openstack_security_guide.py | https://github.com/juju/charm-helpers/blob/aa785c40c3b7a8c69dbfbc7921d6b9f30142e171/charmhelpers/contrib/openstack/audits/openstack_security_guide.py#L104-L116 | def _stat(file):
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Get the Ownership information from a file.
:param file: The path to a file to stat
:type file: str
:returns: owner, group, and mode of the specified file
:rtype: Ownership
:raises subprocess.CalledProcessError: If the underlying stat fails
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| python | train | 32.615385 |
totalgood/nlpia | src/nlpia/loaders.py | https://github.com/totalgood/nlpia/blob/efa01126275e9cd3c3a5151a644f1c798a9ec53f/src/nlpia/loaders.py#L549-L567 | def series_strip(series, startswith=None, endswith=None, startsorendswith=None, ignorecase=True):
""" Strip a suffix/prefix str (`endswith`/`startswith` str) from a `df` columns or pd.Series of type str """
if ignorecase:
mask = series.str.lower()
endswith = endswith.lower()
else:
mask = series
if not (startsorendswith or endswith or startswith):
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return series
if startsorendswith:
startswith = endswith = startsorendswith
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mask = mask.str.endswith(endswith)
series[mask] = series[mask].str[:-len(endswith)]
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series[mask] = series[mask].str[len(startswith):]
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| python | train | 44.473684 |
pymupdf/PyMuPDF | fitz/fitz.py | https://github.com/pymupdf/PyMuPDF/blob/917f2d83482510e26ba0ff01fd2392c26f3a8e90/fitz/fitz.py#L2488-L2492 | def _forget_page(self, page):
"""Remove a page from document page dict."""
pid = id(page)
if pid in self._page_refs:
self._page_refs[pid] = None | [
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| python | train | 35.2 |
pyvisa/pyvisa | pyvisa/shell.py | https://github.com/pyvisa/pyvisa/blob/b8b2d4371e1f00782856aa9176ff1ced6bcb3798/pyvisa/shell.py#L121-L136 | def do_list(self, args):
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print(e)
else:
self.resources = []
for ndx, (resource_name, value) in enumerate(resources.items()):
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print('({0:2d}) {1}'.format(ndx, resource_name))
if value.alias:
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self.resources.append((resource_name, value.alias or None)) | [
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| python | train | 36.8125 |
pyviz/holoviews | holoviews/plotting/links.py | https://github.com/pyviz/holoviews/blob/ae0dd2f3de448b0ca5e9065aabd6ef8d84c7e655/holoviews/plotting/links.py#L62-L78 | def link(self):
"""
Registers the Link
"""
if self.source in self.registry:
links = self.registry[self.source]
params = {
k: v for k, v in self.get_param_values() if k != 'name'}
for link in links:
link_params = {
k: v for k, v in link.get_param_values() if k != 'name'}
if (type(link) is type(self) and link.source is self.source
and link.target is self.target and params == link_params):
return
self.registry[self.source].append(self)
else:
self.registry[self.source] = [self] | [
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| python | train | 39.411765 |
denisenkom/django-sqlserver | sqlserver/base.py | https://github.com/denisenkom/django-sqlserver/blob/f5d5dc8637799746f1bd11bd8c479d3acd468581/sqlserver/base.py#L87-L92 | def __get_dbms_version(self, make_connection=True):
"""
Returns the 'DBMS Version' string
"""
major, minor, _, _ = self.get_server_version(make_connection=make_connection)
return '{}.{}'.format(major, minor) | [
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| python | train | 40.333333 |
Esri/ArcREST | src/arcrest/manageportal/administration.py | https://github.com/Esri/ArcREST/blob/ab240fde2b0200f61d4a5f6df033516e53f2f416/src/arcrest/manageportal/administration.py#L745-L754 | def SSLCertificates(self):
"""
Lists certificates.
"""
url = self._url + "/SSLCertificate"
params = {"f" : "json"}
return self._post(url=url,
param_dict=params,
proxy_url=self._proxy_url,
proxy_port=self._proxy_port) | [
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| python | train | 33.3 |
inasafe/inasafe | safe/report/extractors/action_notes.py | https://github.com/inasafe/inasafe/blob/831d60abba919f6d481dc94a8d988cc205130724/safe/report/extractors/action_notes.py#L54-L201 | def notes_assumptions_extractor(impact_report, component_metadata):
"""Extracting notes and assumptions of the exposure layer
:param impact_report: the impact report that acts as a proxy to fetch
all the data that extractor needed
:type impact_report: safe.report.impact_report.ImpactReport
:param component_metadata: the component metadata. Used to obtain
information about the component we want to render
:type component_metadata: safe.report.report_metadata.
ReportComponentsMetadata
:return: context for rendering phase
:rtype: dict
.. versionadded:: 4.0
"""
context = {}
provenance = impact_report.impact_function.provenance
extra_args = component_metadata.extra_args
hazard_keywords = provenance['hazard_keywords']
exposure_keywords = provenance['exposure_keywords']
exposure_type = definition(exposure_keywords['exposure'])
analysis_note_dict = resolve_from_dictionary(extra_args, 'analysis_notes')
context['items'] = [analysis_note_dict]
context['component_key'] = component_metadata.key
context['header'] = resolve_from_dictionary(extra_args, 'header')
context['items'] += provenance['notes']
# Get hazard classification
hazard_classification = definition(
active_classification(hazard_keywords, exposure_keywords['exposure']))
# Check hazard affected class
affected_classes = []
for hazard_class in hazard_classification['classes']:
if exposure_keywords['exposure'] == exposure_population['key']:
# Taking from profile
is_affected_class = is_affected(
hazard=hazard_keywords['hazard'],
classification=hazard_classification['key'],
hazard_class=hazard_class['key'],
)
if is_affected_class:
affected_classes.append(hazard_class)
else:
if hazard_class.get('affected', False):
affected_classes.append(hazard_class)
if affected_classes:
affected_note_dict = resolve_from_dictionary(
extra_args, 'affected_note_format')
# generate hazard classes
hazard_classes = ', '.join([
c['name'] for c in affected_classes
])
for index, affected_note in enumerate(affected_note_dict['item_list']):
affected_note_dict['item_list'][index] = (
affected_note.format(hazard_classes=hazard_classes)
)
context['items'].append(affected_note_dict)
# Check hazard have displacement rate
for hazard_class in hazard_classification['classes']:
if hazard_class.get('displacement_rate', 0) > 0:
have_displacement_rate = True
break
else:
have_displacement_rate = False
# Only show displacement note if analysis about population exposure
if have_displacement_rate and exposure_type == exposure_population:
# add notes for displacement rate used
displacement_note_dict = resolve_from_dictionary(
extra_args, 'displacement_rates_note_format')
# generate rate description
displacement_rates_note_format = resolve_from_dictionary(
extra_args, 'hazard_displacement_rates_note_format')
displacement_rates_note = []
for hazard_class in hazard_classification['classes']:
the_hazard_class = deepcopy(hazard_class)
the_hazard_class['displacement_rate'] = get_displacement_rate(
hazard=hazard_keywords['hazard'],
classification=hazard_classification['key'],
hazard_class=the_hazard_class['key']
)
displacement_rates_note.append(
displacement_rates_note_format.format(**the_hazard_class))
rate_description = ', '.join(displacement_rates_note)
for index, displacement_note in enumerate(
displacement_note_dict['item_list']):
displacement_note_dict['item_list'][index] = (
displacement_note.format(rate_description=rate_description)
)
context['items'].append(displacement_note_dict)
# Check hazard have displacement rate
have_fatality_rate = False
for hazard_class in hazard_classification['classes']:
if hazard_class.get('fatality_rate', None) is not None and \
hazard_class.get('fatality_rate', 0) > 0:
have_fatality_rate = True
break
if have_fatality_rate and exposure_type == exposure_population:
# add notes for fatality rate used
fatality_note_dict = resolve_from_dictionary(
extra_args, 'fatality_rates_note_format')
# generate rate description
fatality_rates_note_format = resolve_from_dictionary(
extra_args, 'hazard_fatality_rates_note_format')
fatality_rates_note = []
for hazard_class in hazard_classification['classes']:
# we make a copy here because we don't want to
# change the real value.
copy_of_hazard_class = dict(hazard_class)
if copy_of_hazard_class['fatality_rate'] is None or \
copy_of_hazard_class['fatality_rate'] <= 0:
copy_of_hazard_class['fatality_rate'] = 0
else:
# we want to show the rate as a scientific notation
copy_of_hazard_class['fatality_rate'] = (
html_scientific_notation_rate(
copy_of_hazard_class['fatality_rate']))
fatality_rates_note.append(
fatality_rates_note_format.format(**copy_of_hazard_class))
rate_description = ', '.join(fatality_rates_note)
for index, fatality_note in enumerate(fatality_note_dict['item_list']):
fatality_note_dict['item_list'][index] = (
fatality_note.format(rate_description=rate_description)
)
context['items'].append(fatality_note_dict)
return context | [
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| Extracting notes and assumptions of the exposure layer
:param impact_report: the impact report that acts as a proxy to fetch
all the data that extractor needed
:type impact_report: safe.report.impact_report.ImpactReport
:param component_metadata: the component metadata. Used to obtain
information about the component we want to render
:type component_metadata: safe.report.report_metadata.
ReportComponentsMetadata
:return: context for rendering phase
:rtype: dict
.. versionadded:: 4.0 | [
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| python | train | 39.858108 |
jbasko/configmanager | configmanager/sections.py | https://github.com/jbasko/configmanager/blob/1d7229ce367143c7210d8e5f0782de03945a1721/configmanager/sections.py#L536-L587 | def load_values(self, dictionary, as_defaults=False, flat=False):
"""
Import config values from a dictionary.
When ``as_defaults`` is set to ``True``, the values
imported will be set as defaults. This can be used to
declare the sections and items of configuration.
Values of sections and items in ``dictionary`` can be
dictionaries as well as instances of :class:`.Item` and
:class:`.Config`.
Args:
dictionary:
as_defaults: if ``True``, the imported values will be set as defaults.
"""
if flat:
# Deflatten the dictionary and then pass on to the normal case.
separator = self.settings.str_path_separator
flat_dictionary = dictionary
dictionary = collections.OrderedDict()
for k, v in flat_dictionary.items():
k_parts = k.split(separator)
c = dictionary
for i, kp in enumerate(k_parts):
if i >= len(k_parts) - 1:
c[kp] = v
else:
if kp not in c:
c[kp] = collections.OrderedDict()
c = c[kp]
for name, value in dictionary.items():
if name not in self:
if as_defaults:
if isinstance(value, dict):
self[name] = self.create_section()
self[name].load_values(value, as_defaults=as_defaults)
else:
self[name] = self.create_item(name, default=value)
else:
# Skip unknown names if not interpreting dictionary as defaults
pass
continue
resolution = self._get_item_or_section(name, handle_not_found=False)
if is_config_item(resolution):
if as_defaults:
resolution.default = value
else:
resolution.value = value
else:
resolution.load_values(value, as_defaults=as_defaults) | [
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Values of sections and items in ``dictionary`` can be
dictionaries as well as instances of :class:`.Item` and
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| python | train | 40.653846 |
fedora-python/pyp2rpm | pyp2rpm/archive.py | https://github.com/fedora-python/pyp2rpm/blob/853eb3d226689a5ccdcdb9358b1a3394fafbd2b5/pyp2rpm/archive.py#L27-L39 | def flat_list(lst):
"""This function flatten given nested list.
Argument:
nested list
Returns:
flat list
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if isinstance(lst, list):
for item in lst:
for i in flat_list(item):
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| python | train | 21 |
senaite/senaite.core | bika/lims/idserver.py | https://github.com/senaite/senaite.core/blob/7602ce2ea2f9e81eb34e20ce17b98a3e70713f85/bika/lims/idserver.py#L370-L384 | def get_seq_number_from_id(id, id_template, prefix, **kw):
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separator = kw.get("separator", "-")
postfix = id.replace(prefix, "").strip(separator)
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seq_number = 0
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return seq_number | [
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| python | train | 39.666667 |
Qiskit/qiskit-terra | qiskit/transpiler/coupling.py | https://github.com/Qiskit/qiskit-terra/blob/d4f58d903bc96341b816f7c35df936d6421267d1/qiskit/transpiler/coupling.py#L115-L124 | def is_connected(self):
"""
Test if the graph is connected.
Return True if connected, False otherwise
"""
try:
return nx.is_weakly_connected(self.graph)
except nx.exception.NetworkXException:
return False | [
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| python | test | 26.8 |
theislab/scvelo | scvelo/preprocessing/moments.py | https://github.com/theislab/scvelo/blob/c7a96d70edfe705e86bf364434a9527d4fd8df11/scvelo/preprocessing/moments.py#L10-L61 | def moments(data, n_neighbors=30, n_pcs=30, mode='connectivities', method='umap', metric='euclidean', use_rep=None,
recurse_neighbors=False, renormalize=False, copy=False):
"""Computes moments for velocity estimation.
Arguments
---------
data: :class:`~anndata.AnnData`
Annotated data matrix.
n_neighbors: `int` (default: 30)
Number of neighbors to use.
n_pcs: `int` (default: 30)
Number of principal components to use.
mode: `'connectivities'` or `'distances'` (default: `'connectivities'`)
Distance metric to use for moment computation.
renormalize: `bool` (default: `False`)
Renormalize the moments by total counts per cell to its median.
copy: `bool` (default: `False`)
Return a copy instead of writing to adata.
Returns
-------
Returns or updates `adata` with the attributes
Ms: `.layers`
dense matrix with first order moments of spliced counts.
Mu: `.layers`
dense matrix with first order moments of unspliced counts.
"""
adata = data.copy() if copy else data
if 'spliced' not in adata.layers.keys() or 'unspliced' not in adata.layers.keys():
raise ValueError('Could not find spliced / unspliced counts.')
if any([not_yet_normalized(adata.layers[layer]) for layer in {'spliced', 'unspliced'}]):
normalize_per_cell(adata)
if 'neighbors' not in adata.uns.keys() or neighbors_to_be_recomputed(adata, n_neighbors=n_neighbors):
if use_rep is None: use_rep = 'X_pca'
neighbors(adata, n_neighbors=n_neighbors, use_rep=use_rep, n_pcs=n_pcs, method=method, metric=metric)
if mode not in adata.uns['neighbors']:
raise ValueError('mode can only be \'connectivities\' or \'distances\'')
logg.info('computing moments based on ' + str(mode), r=True)
connectivities = get_connectivities(adata, mode, n_neighbors=n_neighbors, recurse_neighbors=recurse_neighbors)
adata.layers['Ms'] = csr_matrix.dot(connectivities, csr_matrix(adata.layers['spliced'])).astype(np.float32).A
adata.layers['Mu'] = csr_matrix.dot(connectivities, csr_matrix(adata.layers['unspliced'])).astype(np.float32).A
if renormalize: normalize_per_cell(adata, layers={'Ms', 'Mu'}, enforce=True)
logg.info(' finished', time=True, end=' ' if settings.verbosity > 2 else '\n')
logg.hint(
'added \n'
' \'Ms\' and \'Mu\', moments of spliced/unspliced abundances (adata.layers)')
return adata if copy else None | [
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Arguments
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data: :class:`~anndata.AnnData`
Annotated data matrix.
n_neighbors: `int` (default: 30)
Number of neighbors to use.
n_pcs: `int` (default: 30)
Number of principal components to use.
mode: `'connectivities'` or `'distances'` (default: `'connectivities'`)
Distance metric to use for moment computation.
renormalize: `bool` (default: `False`)
Renormalize the moments by total counts per cell to its median.
copy: `bool` (default: `False`)
Return a copy instead of writing to adata.
Returns
-------
Returns or updates `adata` with the attributes
Ms: `.layers`
dense matrix with first order moments of spliced counts.
Mu: `.layers`
dense matrix with first order moments of unspliced counts. | [
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| python | train | 47.461538 |
Microsoft/nni | src/sdk/pynni/nni/networkmorphism_tuner/networkmorphism_tuner.py | https://github.com/Microsoft/nni/blob/c7cc8db32da8d2ec77a382a55089f4e17247ce41/src/sdk/pynni/nni/networkmorphism_tuner/networkmorphism_tuner.py#L213-L228 | def update(self, other_info, graph, metric_value, model_id):
""" Update the controller with evaluation result of a neural architecture.
Parameters
----------
other_info: any object
In our case it is the father ID in the search tree.
graph: Graph
An instance of Graph. The trained neural architecture.
metric_value: float
The final evaluated metric value.
model_id: int
"""
father_id = other_info
self.bo.fit([graph.extract_descriptor()], [metric_value])
self.bo.add_child(father_id, model_id) | [
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| python | train | 37.625 |
LonamiWebs/Telethon | telethon/tl/custom/messagebutton.py | https://github.com/LonamiWebs/Telethon/blob/1ead9757d366b58c1e0567cddb0196e20f1a445f/telethon/tl/custom/messagebutton.py#L57-L60 | def url(self):
"""The url ``str`` for :tl:`KeyboardButtonUrl` objects."""
if isinstance(self.button, types.KeyboardButtonUrl):
return self.button.url | [
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| python | train | 43.5 |
istresearch/scrapy-cluster | redis-monitor/plugins/stats_monitor.py | https://github.com/istresearch/scrapy-cluster/blob/13aaed2349af5d792d6bcbfcadc5563158aeb599/redis-monitor/plugins/stats_monitor.py#L109-L146 | def _get_plugin_stats(self, name):
'''
Used for getting stats for Plugin based stuff, like Kafka Monitor
and Redis Monitor
@param name: the main class stats name
@return: A formatted dict of stats
'''
the_dict = {}
keys = self.redis_conn.keys('stats:{n}:*'.format(n=name))
for key in keys:
# break down key
elements = key.split(":")
main = elements[2]
end = elements[3]
if main == 'total' or main == 'fail':
if main not in the_dict:
the_dict[main] = {}
the_dict[main][end] = self._get_key_value(key, end == 'lifetime')
elif main == 'self':
if 'nodes' not in the_dict:
# main is self, end is machine, true_tail is uuid
the_dict['nodes'] = {}
true_tail = elements[4]
if end not in the_dict['nodes']:
the_dict['nodes'][end] = []
the_dict['nodes'][end].append(true_tail)
else:
if 'plugins' not in the_dict:
the_dict['plugins'] = {}
if main not in the_dict['plugins']:
the_dict['plugins'][main] = {}
the_dict['plugins'][main][end] = self._get_key_value(key, end == 'lifetime')
return the_dict | [
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| python | train | 36.394737 |
singularityhub/sregistry-cli | sregistry/main/__template__/push.py | https://github.com/singularityhub/sregistry-cli/blob/abc96140a1d15b5e96d83432e1e0e1f4f8f36331/sregistry/main/__template__/push.py#L28-L52 | def push(self, path, name, tag=None):
'''push an image to Singularity Registry
path: should correspond to an absolte image path (or derive it)
name: should be the complete uri that the user has requested to push.
tag: should correspond with an image tag. This is provided to mirror Docker
'''
path = os.path.abspath(path)
bot.debug("PUSH %s" % path)
if not os.path.exists(path):
bot.error('%s does not exist.' %path)
sys.exit(1)
# This returns a data structure with collection, container, based on uri
names = parse_image_name(remove_uri(name),tag=tag)
# use Singularity client, if exists, to inspect to extract metadata
metadata = self.get_metadata(path, names=names)
# If you want a spinner
bot.spinner.start()
# do your push request here. Generally you want to except a KeyboardInterrupt
# and give the user a status from the response
bot.spinner.stop() | [
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| python | test | 37 |
python-diamond/Diamond | src/diamond/handler/graphite.py | https://github.com/python-diamond/Diamond/blob/0f3eb04327d6d3ed5e53a9967d6c9d2c09714a47/src/diamond/handler/graphite.py#L126-L142 | def _send_data(self, data):
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Try to send all data in buffer.
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except:
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self._throttle_error("GraphiteHandler: Socket error, "
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try:
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except:
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| python | train | 28.529412 |
markovmodel/msmtools | msmtools/estimation/sparse/prior.py | https://github.com/markovmodel/msmtools/blob/54dc76dd2113a0e8f3d15d5316abab41402941be/msmtools/estimation/sparse/prior.py#L86-L117 | def prior_rev(C, alpha=-1.0):
r"""Prior counts for sampling of reversible transition
matrices.
Prior is defined as
b_ij= alpha if i<=j
b_ij=0 else
The reversible prior adds -1 to the upper triagular part of
the given count matrix. This prior respects the fact that
for a reversible transition matrix the degrees of freedom
correspond essentially to the upper, respectively the lower
triangular part of the matrix.
Parameters
----------
C : (M, M) ndarray or scipy.sparse matrix
Count matrix
alpha : float (optional)
Value of prior counts
Returns
-------
B : (M, M) ndarray
Matrix of prior counts
"""
ind = np.triu_indices(C.shape[0])
B = np.zeros(C.shape)
B[ind] = alpha
return B | [
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| python | train | 24.1875 |
GemHQ/round-py | round/__init__.py | https://github.com/GemHQ/round-py/blob/d0838f849cd260b1eb5df67ed3c6f2fe56c91c21/round/__init__.py#L65-L89 | def authorizer(self, schemes, resource, action, request_args):
"""Construct the Authorization header for a request.
Args:
schemes (list of str): Authentication schemes supported for the
requested action.
resource (str): Object upon which an action is being performed.
action (str): Action being performed.
request_args (list of str): Arguments passed to the action call.
Returns:
(str, str) A tuple of the auth scheme satisfied, and the credential
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"""
if not schemes:
return u'', u''
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cred = Context.format_auth_params(self.schemes[scheme][u'params'])
if hasattr(self, 'mfa_token'):
cred = '{}, mfa_token="{}"'.format(cred, self.mfa_token)
return scheme, cred
raise AuthenticationError(self, schemes) | [
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| python | train | 42.76 |
thieman/dagobah | dagobah/daemon/daemon.py | https://github.com/thieman/dagobah/blob/e624180c2291034960302c9e0b818b65b5a7ee11/dagobah/daemon/daemon.py#L27-L42 | def replace_nones(dict_or_list):
"""Update a dict or list in place to replace
'none' string values with Python None."""
def replace_none_in_value(value):
if isinstance(value, basestring) and value.lower() == "none":
return None
return value
items = dict_or_list.iteritems() if isinstance(dict_or_list, dict) else enumerate(dict_or_list)
for accessor, value in items:
if isinstance(value, (dict, list)):
replace_nones(value)
else:
dict_or_list[accessor] = replace_none_in_value(value) | [
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| python | train | 34.9375 |
allenai/allennlp | allennlp/semparse/type_declarations/wikitables_lambda_dcs.py | https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/semparse/type_declarations/wikitables_lambda_dcs.py#L83-L123 | def resolve(self, other: Type) -> Optional[Type]:
"""See ``PlaceholderType.resolve``"""
if not isinstance(other, NltkComplexType):
return None
expected_second = ComplexType(NUMBER_TYPE,
ComplexType(ANY_TYPE, ComplexType(ComplexType(ANY_TYPE, ANY_TYPE),
ANY_TYPE)))
resolved_second = other.second.resolve(expected_second)
if resolved_second is None:
return None
# The lambda function that we use inside the argmax must take either a number or a date as
# an argument.
lambda_arg_type = other.second.second.second.first.first
if lambda_arg_type.resolve(NUMBER_TYPE) is None and lambda_arg_type.resolve(DATE_TYPE) is None:
return None
try:
# This is the first #1 in the type signature above.
selector_function_type = resolved_second.second.first
# This is the second #1 in the type signature above.
quant_function_argument_type = resolved_second.second.second.first.second
# This is the third #1 in the type signature above.
return_type = resolved_second.second.second.second
# All three placeholder (ph) types above should resolve against each other.
resolved_first_ph = selector_function_type.resolve(quant_function_argument_type)
resolved_first_ph.resolve(return_type)
resolved_second_ph = quant_function_argument_type.resolve(resolved_first_ph)
resolved_second_ph.resolve(return_type)
resolved_third_ph = return_type.resolve(resolved_first_ph)
resolved_third_ph = return_type.resolve(resolved_second_ph)
if not resolved_first_ph or not resolved_second_ph or not resolved_third_ph:
return None
return ArgExtremeType(resolved_first_ph, lambda_arg_type)
except AttributeError:
return None | [
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| See ``PlaceholderType.resolve`` | [
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| python | train | 48.682927 |
evandempsey/fp-growth | pyfpgrowth/pyfpgrowth.py | https://github.com/evandempsey/fp-growth/blob/6bf4503024e86c5bbea8a05560594f2f7f061c15/pyfpgrowth/pyfpgrowth.py#L148-L155 | def mine_patterns(self, threshold):
"""
Mine the constructed FP tree for frequent patterns.
"""
if self.tree_has_single_path(self.root):
return self.generate_pattern_list()
else:
return self.zip_patterns(self.mine_sub_trees(threshold)) | [
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| python | train | 36.5 |
hazelcast/hazelcast-python-client | hazelcast/proxy/map.py | https://github.com/hazelcast/hazelcast-python-client/blob/3f6639443c23d6d036aa343f8e094f052250d2c1/hazelcast/proxy/map.py#L544-L574 | def put_if_absent(self, key, value, ttl=-1):
"""
Associates the specified key with the given value if it is not already associated. If ttl is provided, entry
will expire and get evicted after the ttl.
This is equivalent to:
>>> if not map.contains_key(key):
>>> return map.put(key,value)
>>> else:
>>> return map.get(key)
except that the action is performed atomically.
**Warning:
This method returns a clone of the previous value, not the original (identically equal) value previously put
into the map.**
**Warning 2: This method uses __hash__ and __eq__ methods of binary form of the key, not the actual implementations
of __hash__ and __eq__ defined in key's class.**
:param key: (object), key of the entry.
:param value: (object), value of the entry.
:param ttl: (int), maximum time in seconds for this entry to stay in the map, if not provided, the value
configured on server side configuration will be used (optional).
:return: (object), old value of the entry.
"""
check_not_none(key, "key can't be None")
check_not_none(value, "value can't be None")
key_data = self._to_data(key)
value_data = self._to_data(value)
return self._put_if_absent_internal(key_data, value_data, ttl) | [
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>>> return map.put(key,value)
>>> else:
>>> return map.get(key)
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**Warning 2: This method uses __hash__ and __eq__ methods of binary form of the key, not the actual implementations
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:param ttl: (int), maximum time in seconds for this entry to stay in the map, if not provided, the value
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| python | train | 44.774194 |
6809/MC6809 | MC6809/components/mc6809_ops_logic.py | https://github.com/6809/MC6809/blob/6ba2f5106df46689017b5d0b6d84d43b7ee6a240/MC6809/components/mc6809_ops_logic.py#L292-L300 | def instruction_ROL_memory(self, opcode, ea, m):
""" Rotate memory left """
r = self.ROL(m)
# log.debug("$%x ROL memory value $%x << 1 | Carry = $%x and write it to $%x \t| %s" % (
# self.program_counter,
# m, r, ea,
# self.cfg.mem_info.get_shortest(ea)
# ))
return ea, r & 0xff | [
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| python | train | 37.888889 |
JoeVirtual/KonFoo | konfoo/options.py | https://github.com/JoeVirtual/KonFoo/blob/0c62ef5c2bed4deaf908b34082e4de2544532fdc/konfoo/options.py#L72-L87 | def verbose_option(default=False):
""" Attaches the option ``verbose`` with its *default* value to the
keyword arguments when the option does not exist. All positional
arguments and keyword arguments are forwarded unchanged.
"""
def decorator(method):
@wraps(method)
def wrapper(*args, **kwargs):
option = Option.verbose.value
kwargs[option] = kwargs.get(option, bool(default))
return method(*args, **kwargs)
return wrapper
return decorator | [
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| python | train | 32 |
pantsbuild/pants | src/python/pants/init/extension_loader.py | https://github.com/pantsbuild/pants/blob/b72e650da0df685824ffdcc71988b8c282d0962d/src/python/pants/init/extension_loader.py#L99-L112 | def load_build_configuration_from_source(build_configuration, backends=None):
"""Installs pants backend packages to provide BUILD file symbols and cli goals.
:param BuildConfiguration build_configuration: The BuildConfiguration (for adding aliases).
:param backends: An optional list of additional packages to load backends from.
:raises: :class:``pants.base.exceptions.BuildConfigurationError`` if there is a problem loading
the build configuration.
"""
# pants.build_graph and pants.core_task must always be loaded, and before any other backends.
# TODO: Consider replacing the "backend" nomenclature here. pants.build_graph and
# pants.core_tasks aren't really backends.
backend_packages = OrderedSet(['pants.build_graph', 'pants.core_tasks'] + (backends or []))
for backend_package in backend_packages:
load_backend(build_configuration, backend_package) | [
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| python | train | 62.357143 |
cqparts/cqparts | src/cqparts_fasteners/solidtypes/threads/base.py | https://github.com/cqparts/cqparts/blob/018e87e14c2c4d1d40b4bfe6a7e22bcf9baf0a53/src/cqparts_fasteners/solidtypes/threads/base.py#L26-L204 | def profile_to_cross_section(profile, lefthand=False, start_count=1, min_vertices=20):
r"""
Converts a thread profile to it's equivalent cross-section.
**Profile:**
The thread profile contains a single wire along the XZ plane
(note: wire will be projected onto the XZ plane; Y-coords will be ignored).
The profile is expected to be of 1 thread rotation, so it's height
(along the Z-axis) is the thread's "pitch".
If start_count > 1, then the profile will effectively be duplicated.
The resulting cross-section is designed to be swept along a helical path
with a pitch of the thread's "lead" (which is {the height of the given
profile} * start_count)
**Method:**
Each edge of the profile is converted to a bezier spline, aproximating
its polar plot equivalent.
**Resolution:** (via `min_vertices` parameter)
Increasing the number of vertices used to define the bezier will
increase the resulting thread's accuracy, but cost more to render.
min_vertices may also be expressed as a list to set the number of
vertices to set for each wire.
where: len(min_vertices) == number of edges in profile
**Example**
.. doctest::
import cadquery
from cqparts_fasteners.solidtypes.threads.base import profile_to_cross_section
from Helpers import show # doctest: +SKIP
profile = cadquery.Workplane("XZ") \
.moveTo(1, 0) \
.lineTo(2, 1).lineTo(1, 2) \
.wire()
cross_section = profile_to_cross_section(profile)
show(profile) # doctest: +SKIP
show(cross_section) # doctest: +SKIP
Will result in:
.. image:: /_static/img/solidtypes.threads.base.profile_to_cross_section.01.png
:param profile: workplane containing wire of thread profile.
:type profile: :class:`cadquery.Workplane`
:param lefthand: if True, cross-section is made backwards.
:type lefthand: :class:`bool`
:param start_count: profile is duplicated this many times.
:type start_count: :class:`int`
:param min_vertices: int or tuple of the desired resolution.
:type min_vertices: :class:`int` or :class:`tuple`
:return: workplane with a face ready to be swept into a thread.
:rtype: :class:`cadquery.Workplane`
:raises TypeError: if a problem is found with the given parameters.
:raises ValueError: if ``min_vertices`` is a list with elements not equal to the numbmer of wire edges.
"""
# verify parameter(s)
if not isinstance(profile, cadquery.Workplane):
raise TypeError("profile %r must be a %s instance" % (profile, cadquery.Workplane))
if not isinstance(min_vertices, (int, list, tuple)):
raise TypeError("min_vertices %r must be an int, list, or tuple" % (min_vertices))
# get wire from Workplane
wire = profile.val() # cadquery.Wire
if not isinstance(wire, cadquery.Wire):
raise TypeError("a valid profile Wire type could not be found in the given Workplane")
profile_bb = wire.BoundingBox()
pitch = profile_bb.zmax - profile_bb.zmin
lead = pitch * start_count
# determine vertices count per edge
edges = wire.Edges()
vertices_count = None
if isinstance(min_vertices, int):
# evenly spread vertices count along profile wire
# (weighted by the edge's length)
vertices_count = [
int(ceil(round(e.Length() / wire.Length(), 7) * min_vertices))
for e in edges
]
# rounded for desired contrived results
# (trade-off: an error of 1 is of no great consequence)
else:
# min_vertices is defined per edge (already what we want)
if len(min_vertices) != len(edges):
raise ValueError(
"min_vertices list size does not match number of profile edges: "
"len(%r) != %i" % (min_vertices, len(edges))
)
vertices_count = min_vertices
# Utilities for building cross-section
def get_xz(vertex):
if isinstance(vertex, cadquery.Vector):
vertex = vertex.wrapped # TODO: remove this, it's messy
# where isinstance(vertex, FreeCAD.Base.Vector)
return (vertex.x, vertex.z)
def cart2polar(x, z, z_offset=0):
"""
Convert cartesian coordinates to polar coordinates.
Uses thread's lead height to give full 360deg translation.
"""
radius = x
angle = ((z + z_offset) / lead) * (2 * pi) # radians
if not lefthand:
angle = -angle
return (radius, angle)
def transform(vertex, z_offset=0):
# where isinstance(vertex, FreeCAD.Base.Vector)
"""
Transform profile vertex on the XZ plane to it's equivalent on
the cross-section's XY plane
"""
(radius, angle) = cart2polar(*get_xz(vertex), z_offset=z_offset)
return (radius * cos(angle), radius * sin(angle))
# Conversion methods
def apply_spline(wp, edge, vert_count, z_offset=0):
"""
Trace along edge and create a spline from the transformed verteces.
"""
curve = edge.wrapped.Curve # FreeCADPart.Geom* (depending on type)
if edge.geomType() == 'CIRCLE':
iter_dist = edge.wrapped.ParameterRange[1] / vert_count
else:
iter_dist = edge.Length() / vert_count
points = []
for j in range(vert_count):
dist = (j + 1) * iter_dist
vert = curve.value(dist)
points.append(transform(vert, z_offset))
return wp.spline(points)
def apply_arc(wp, edge, z_offset=0):
"""
Create an arc using edge's midpoint and endpoint.
Only intended for use for vertical lines on the given profile.
"""
return wp.threePointArc(
point1=transform(edge.wrapped.valueAt(edge.Length() / 2), z_offset),
point2=transform(edge.wrapped.valueAt(edge.Length()), z_offset),
)
def apply_radial_line(wp, edge, z_offset=0):
"""
Create a straight radial line
"""
return wp.lineTo(*transform(edge.endPoint(), z_offset))
# Build cross-section
start_v = edges[0].startPoint().wrapped
cross_section = cadquery.Workplane("XY") \
.moveTo(*transform(start_v))
for i in range(start_count):
z_offset = i * pitch
for (j, edge) in enumerate(wire.Edges()):
# where: isinstance(edge, cadquery.Edge)
if (edge.geomType() == 'LINE') and (edge.startPoint().x == edge.endPoint().x):
# edge is a vertical line, plot a circular arc
cross_section = apply_arc(cross_section, edge, z_offset)
elif (edge.geomType() == 'LINE') and (edge.startPoint().z == edge.endPoint().z):
# edge is a horizontal line, plot a radial line
cross_section = apply_radial_line(cross_section, edge, z_offset)
else:
# create bezier spline along transformed points (default)
cross_section = apply_spline(cross_section, edge, vertices_count[j], z_offset)
return cross_section.close() | [
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| r"""
Converts a thread profile to it's equivalent cross-section.
**Profile:**
The thread profile contains a single wire along the XZ plane
(note: wire will be projected onto the XZ plane; Y-coords will be ignored).
The profile is expected to be of 1 thread rotation, so it's height
(along the Z-axis) is the thread's "pitch".
If start_count > 1, then the profile will effectively be duplicated.
The resulting cross-section is designed to be swept along a helical path
with a pitch of the thread's "lead" (which is {the height of the given
profile} * start_count)
**Method:**
Each edge of the profile is converted to a bezier spline, aproximating
its polar plot equivalent.
**Resolution:** (via `min_vertices` parameter)
Increasing the number of vertices used to define the bezier will
increase the resulting thread's accuracy, but cost more to render.
min_vertices may also be expressed as a list to set the number of
vertices to set for each wire.
where: len(min_vertices) == number of edges in profile
**Example**
.. doctest::
import cadquery
from cqparts_fasteners.solidtypes.threads.base import profile_to_cross_section
from Helpers import show # doctest: +SKIP
profile = cadquery.Workplane("XZ") \
.moveTo(1, 0) \
.lineTo(2, 1).lineTo(1, 2) \
.wire()
cross_section = profile_to_cross_section(profile)
show(profile) # doctest: +SKIP
show(cross_section) # doctest: +SKIP
Will result in:
.. image:: /_static/img/solidtypes.threads.base.profile_to_cross_section.01.png
:param profile: workplane containing wire of thread profile.
:type profile: :class:`cadquery.Workplane`
:param lefthand: if True, cross-section is made backwards.
:type lefthand: :class:`bool`
:param start_count: profile is duplicated this many times.
:type start_count: :class:`int`
:param min_vertices: int or tuple of the desired resolution.
:type min_vertices: :class:`int` or :class:`tuple`
:return: workplane with a face ready to be swept into a thread.
:rtype: :class:`cadquery.Workplane`
:raises TypeError: if a problem is found with the given parameters.
:raises ValueError: if ``min_vertices`` is a list with elements not equal to the numbmer of wire edges. | [
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| python | train | 39.083799 |
bfarr/kombine | examples/kepler/correlated_likelihood.py | https://github.com/bfarr/kombine/blob/50c946dee5da33e7baab71d9bd6c265ff02ffb13/examples/kepler/correlated_likelihood.py#L8-L23 | def generate_covariance(ts, sigma, tau):
r"""Generates a covariance matrix according to an
squared-exponential autocovariance
.. math::
\left\langle x_i x_j \right\rangle = \sigma_0^2 \delta_{ij} + \sigma^2 \exp\left[ - \frac{\left| t_i - t_j\right|^2}{2 \tau^2} \right]
"""
ndim = ts.shape[0]
tis = ts[:, np.newaxis]
tjs = ts[np.newaxis, :]
return sigma*sigma*np.exp(-np.square(tis-tjs)/(2.0*tau*tau)) | [
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| r"""Generates a covariance matrix according to an
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.. math::
\left\langle x_i x_j \right\rangle = \sigma_0^2 \delta_{ij} + \sigma^2 \exp\left[ - \frac{\left| t_i - t_j\right|^2}{2 \tau^2} \right] | [
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| python | train | 27.4375 |
binux/pyspider | pyspider/libs/response.py | https://github.com/binux/pyspider/blob/3fccfabe2b057b7a56d4a4c79dc0dd6cd2239fe9/pyspider/libs/response.py#L129-L137 | def json(self):
"""Returns the json-encoded content of the response, if any."""
if hasattr(self, '_json'):
return self._json
try:
self._json = json.loads(self.text or self.content)
except ValueError:
self._json = None
return self._json | [
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| python | train | 33.666667 |
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