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alerta/alerta | alerta/models/key.py | ApiKey.find_all | def find_all(query: Query=None) -> List['ApiKey']:
"""
List all API keys.
"""
return [ApiKey.from_db(key) for key in db.get_keys(query)] | python | def find_all(query: Query=None) -> List['ApiKey']:
"""
List all API keys.
"""
return [ApiKey.from_db(key) for key in db.get_keys(query)] | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
List all API keys.
### Response:
def find_all(query: Query=None) -> List['ApiKey']:
"""
List all API keys.
"""
return [ApiKey.from_db(key) for key in db.get_keys(query)]
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"Prepend",
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] | train | https://github.com/genialis/resolwe-runtime-utils/blob/5657d7cf981972a5259b9b475eae220479401001/resolwe_runtime_utils.py#L305-L311 | <|startoftext|>
### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Prepend the given parameter with ``export``
### Response:
def export_file(file_path):
"""Prepend the given parameter with ``export``"""
if not os.path.isfile(file_path):
return error("Referenced file does not exist: '{}'.".format(file_path))
return "export {}".format(file_path)
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raise RuntimeError('Type signature invalid, got ' + sig)
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if not generic_types:
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is_array = (groups[2] is not None)
return typ, generic_types, is_array | python | def parse_type_signature(sig):
""" Parse a type signature """
match = TYPE_SIG_RE.match(sig.strip())
if not match:
raise RuntimeError('Type signature invalid, got ' + sig)
groups = match.groups()
typ = groups[0]
generic_types = groups[1]
if not generic_types:
generic_types = []
else:
generic_types = split_sig(generic_types[1:-1])
is_array = (groups[2] is not None)
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] | train | https://github.com/djungelorm/sphinx-csharp/blob/aaa0c5fbe514d7f0b1a89625185fc608e5d30702/sphinx_csharp/csharp.py#L122-L135 | <|startoftext|>
### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Parse a type signature
### Response:
def parse_type_signature(sig):
""" Parse a type signature """
match = TYPE_SIG_RE.match(sig.strip())
if not match:
raise RuntimeError('Type signature invalid, got ' + sig)
groups = match.groups()
typ = groups[0]
generic_types = groups[1]
if not generic_types:
generic_types = []
else:
generic_types = split_sig(generic_types[1:-1])
is_array = (groups[2] is not None)
return typ, generic_types, is_array
<|endoftext|> | [
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JdeRobot/base | src/drivers/MAVLinkServer/MAVProxy/pymavlink/dialects/v10/matrixpilot.py | MAVLink.gps_raw_int_encode | def gps_raw_int_encode(self, time_usec, fix_type, lat, lon, alt, eph, epv, vel, cog, satellites_visible):
'''
The global position, as returned by the Global Positioning System
(GPS). This is NOT the global position
estimate of the system, but rather a RAW sensor value.
See message GLOBAL_POSITION for the global position
estimate. Coordinate frame is right-handed, Z-axis up
(GPS frame).
time_usec : Timestamp (microseconds since UNIX epoch or microseconds since system boot) (uint64_t)
fix_type : See the GPS_FIX_TYPE enum. (uint8_t)
lat : Latitude (WGS84), in degrees * 1E7 (int32_t)
lon : Longitude (WGS84), in degrees * 1E7 (int32_t)
alt : Altitude (AMSL, NOT WGS84), in meters * 1000 (positive for up). Note that virtually all GPS modules provide the AMSL altitude in addition to the WGS84 altitude. (int32_t)
eph : GPS HDOP horizontal dilution of position (unitless). If unknown, set to: UINT16_MAX (uint16_t)
epv : GPS VDOP vertical dilution of position (unitless). If unknown, set to: UINT16_MAX (uint16_t)
vel : GPS ground speed (m/s * 100). If unknown, set to: UINT16_MAX (uint16_t)
cog : Course over ground (NOT heading, but direction of movement) in degrees * 100, 0.0..359.99 degrees. If unknown, set to: UINT16_MAX (uint16_t)
satellites_visible : Number of satellites visible. If unknown, set to 255 (uint8_t)
'''
return MAVLink_gps_raw_int_message(time_usec, fix_type, lat, lon, alt, eph, epv, vel, cog, satellites_visible) | python | def gps_raw_int_encode(self, time_usec, fix_type, lat, lon, alt, eph, epv, vel, cog, satellites_visible):
'''
The global position, as returned by the Global Positioning System
(GPS). This is NOT the global position
estimate of the system, but rather a RAW sensor value.
See message GLOBAL_POSITION for the global position
estimate. Coordinate frame is right-handed, Z-axis up
(GPS frame).
time_usec : Timestamp (microseconds since UNIX epoch or microseconds since system boot) (uint64_t)
fix_type : See the GPS_FIX_TYPE enum. (uint8_t)
lat : Latitude (WGS84), in degrees * 1E7 (int32_t)
lon : Longitude (WGS84), in degrees * 1E7 (int32_t)
alt : Altitude (AMSL, NOT WGS84), in meters * 1000 (positive for up). Note that virtually all GPS modules provide the AMSL altitude in addition to the WGS84 altitude. (int32_t)
eph : GPS HDOP horizontal dilution of position (unitless). If unknown, set to: UINT16_MAX (uint16_t)
epv : GPS VDOP vertical dilution of position (unitless). If unknown, set to: UINT16_MAX (uint16_t)
vel : GPS ground speed (m/s * 100). If unknown, set to: UINT16_MAX (uint16_t)
cog : Course over ground (NOT heading, but direction of movement) in degrees * 100, 0.0..359.99 degrees. If unknown, set to: UINT16_MAX (uint16_t)
satellites_visible : Number of satellites visible. If unknown, set to 255 (uint8_t)
'''
return MAVLink_gps_raw_int_message(time_usec, fix_type, lat, lon, alt, eph, epv, vel, cog, satellites_visible) | [
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time_usec : Timestamp (microseconds since UNIX epoch or microseconds since system boot) (uint64_t)
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lon : Longitude (WGS84), in degrees * 1E7 (int32_t)
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epv : GPS VDOP vertical dilution of position (unitless). If unknown, set to: UINT16_MAX (uint16_t)
vel : GPS ground speed (m/s * 100). If unknown, set to: UINT16_MAX (uint16_t)
cog : Course over ground (NOT heading, but direction of movement) in degrees * 100, 0.0..359.99 degrees. If unknown, set to: UINT16_MAX (uint16_t)
satellites_visible : Number of satellites visible. If unknown, set to 255 (uint8_t) | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
The global position, as returned by the Global Positioning System
(GPS). This is NOT the global position
estimate of the system, but rather a RAW sensor value.
See message GLOBAL_POSITION for the global position
estimate. Coordinate frame is right-handed, Z-axis up
(GPS frame).
time_usec : Timestamp (microseconds since UNIX epoch or microseconds since system boot) (uint64_t)
fix_type : See the GPS_FIX_TYPE enum. (uint8_t)
lat : Latitude (WGS84), in degrees * 1E7 (int32_t)
lon : Longitude (WGS84), in degrees * 1E7 (int32_t)
alt : Altitude (AMSL, NOT WGS84), in meters * 1000 (positive for up). Note that virtually all GPS modules provide the AMSL altitude in addition to the WGS84 altitude. (int32_t)
eph : GPS HDOP horizontal dilution of position (unitless). If unknown, set to: UINT16_MAX (uint16_t)
epv : GPS VDOP vertical dilution of position (unitless). If unknown, set to: UINT16_MAX (uint16_t)
vel : GPS ground speed (m/s * 100). If unknown, set to: UINT16_MAX (uint16_t)
cog : Course over ground (NOT heading, but direction of movement) in degrees * 100, 0.0..359.99 degrees. If unknown, set to: UINT16_MAX (uint16_t)
satellites_visible : Number of satellites visible. If unknown, set to 255 (uint8_t)
### Response:
def gps_raw_int_encode(self, time_usec, fix_type, lat, lon, alt, eph, epv, vel, cog, satellites_visible):
'''
The global position, as returned by the Global Positioning System
(GPS). This is NOT the global position
estimate of the system, but rather a RAW sensor value.
See message GLOBAL_POSITION for the global position
estimate. Coordinate frame is right-handed, Z-axis up
(GPS frame).
time_usec : Timestamp (microseconds since UNIX epoch or microseconds since system boot) (uint64_t)
fix_type : See the GPS_FIX_TYPE enum. (uint8_t)
lat : Latitude (WGS84), in degrees * 1E7 (int32_t)
lon : Longitude (WGS84), in degrees * 1E7 (int32_t)
alt : Altitude (AMSL, NOT WGS84), in meters * 1000 (positive for up). Note that virtually all GPS modules provide the AMSL altitude in addition to the WGS84 altitude. (int32_t)
eph : GPS HDOP horizontal dilution of position (unitless). If unknown, set to: UINT16_MAX (uint16_t)
epv : GPS VDOP vertical dilution of position (unitless). If unknown, set to: UINT16_MAX (uint16_t)
vel : GPS ground speed (m/s * 100). If unknown, set to: UINT16_MAX (uint16_t)
cog : Course over ground (NOT heading, but direction of movement) in degrees * 100, 0.0..359.99 degrees. If unknown, set to: UINT16_MAX (uint16_t)
satellites_visible : Number of satellites visible. If unknown, set to 255 (uint8_t)
'''
return MAVLink_gps_raw_int_message(time_usec, fix_type, lat, lon, alt, eph, epv, vel, cog, satellites_visible)
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ThreatConnect-Inc/tcex | tcex/tcex.py | TcEx.metric | def metric(self, name, description, data_type, interval, keyed=False):
"""Get instance of the Metrics module.
Args:
name (string): The name for the metric.
description (string): The description of the metric.
data_type (string): The type of metric: Sum, Count, Min, Max, First, Last, and Average.
interval (string): The metric interval: Hourly, Daily, Weekly, Monthly, and Yearly.
keyed (boolean): Indicates whether the data will have a keyed value.
Returns:
(object): An instance of the Metrics Class.
"""
from .tcex_metrics_v2 import TcExMetricsV2
return TcExMetricsV2(self, name, description, data_type, interval, keyed) | python | def metric(self, name, description, data_type, interval, keyed=False):
"""Get instance of the Metrics module.
Args:
name (string): The name for the metric.
description (string): The description of the metric.
data_type (string): The type of metric: Sum, Count, Min, Max, First, Last, and Average.
interval (string): The metric interval: Hourly, Daily, Weekly, Monthly, and Yearly.
keyed (boolean): Indicates whether the data will have a keyed value.
Returns:
(object): An instance of the Metrics Class.
"""
from .tcex_metrics_v2 import TcExMetricsV2
return TcExMetricsV2(self, name, description, data_type, interval, keyed) | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Get instance of the Metrics module.
Args:
name (string): The name for the metric.
description (string): The description of the metric.
data_type (string): The type of metric: Sum, Count, Min, Max, First, Last, and Average.
interval (string): The metric interval: Hourly, Daily, Weekly, Monthly, and Yearly.
keyed (boolean): Indicates whether the data will have a keyed value.
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(object): An instance of the Metrics Class.
### Response:
def metric(self, name, description, data_type, interval, keyed=False):
"""Get instance of the Metrics module.
Args:
name (string): The name for the metric.
description (string): The description of the metric.
data_type (string): The type of metric: Sum, Count, Min, Max, First, Last, and Average.
interval (string): The metric interval: Hourly, Daily, Weekly, Monthly, and Yearly.
keyed (boolean): Indicates whether the data will have a keyed value.
Returns:
(object): An instance of the Metrics Class.
"""
from .tcex_metrics_v2 import TcExMetricsV2
return TcExMetricsV2(self, name, description, data_type, interval, keyed)
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gwpy/gwpy | gwpy/spectrogram/spectrogram.py | Spectrogram.crop_frequencies | def crop_frequencies(self, low=None, high=None, copy=False):
"""Crop this `Spectrogram` to the specified frequencies
Parameters
----------
low : `float`
lower frequency bound for cropped `Spectrogram`
high : `float`
upper frequency bound for cropped `Spectrogram`
copy : `bool`
if `False` return a view of the original data, otherwise create
a fresh memory copy
Returns
-------
spec : `Spectrogram`
A new `Spectrogram` with a subset of data from the frequency
axis
"""
if low is not None:
low = units.Quantity(low, self._default_yunit)
if high is not None:
high = units.Quantity(high, self._default_yunit)
# check low frequency
if low is not None and low == self.f0:
low = None
elif low is not None and low < self.f0:
warnings.warn('Spectrogram.crop_frequencies given low frequency '
'cutoff below f0 of the input Spectrogram. Low '
'frequency crop will have no effect.')
# check high frequency
if high is not None and high.value == self.band[1]:
high = None
elif high is not None and high.value > self.band[1]:
warnings.warn('Spectrogram.crop_frequencies given high frequency '
'cutoff above cutoff of the input Spectrogram. High '
'frequency crop will have no effect.')
# find low index
if low is None:
idx0 = None
else:
idx0 = int(float(low.value - self.f0.value) // self.df.value)
# find high index
if high is None:
idx1 = None
else:
idx1 = int(float(high.value - self.f0.value) // self.df.value)
# crop
if copy:
return self[:, idx0:idx1].copy()
return self[:, idx0:idx1] | python | def crop_frequencies(self, low=None, high=None, copy=False):
"""Crop this `Spectrogram` to the specified frequencies
Parameters
----------
low : `float`
lower frequency bound for cropped `Spectrogram`
high : `float`
upper frequency bound for cropped `Spectrogram`
copy : `bool`
if `False` return a view of the original data, otherwise create
a fresh memory copy
Returns
-------
spec : `Spectrogram`
A new `Spectrogram` with a subset of data from the frequency
axis
"""
if low is not None:
low = units.Quantity(low, self._default_yunit)
if high is not None:
high = units.Quantity(high, self._default_yunit)
# check low frequency
if low is not None and low == self.f0:
low = None
elif low is not None and low < self.f0:
warnings.warn('Spectrogram.crop_frequencies given low frequency '
'cutoff below f0 of the input Spectrogram. Low '
'frequency crop will have no effect.')
# check high frequency
if high is not None and high.value == self.band[1]:
high = None
elif high is not None and high.value > self.band[1]:
warnings.warn('Spectrogram.crop_frequencies given high frequency '
'cutoff above cutoff of the input Spectrogram. High '
'frequency crop will have no effect.')
# find low index
if low is None:
idx0 = None
else:
idx0 = int(float(low.value - self.f0.value) // self.df.value)
# find high index
if high is None:
idx1 = None
else:
idx1 = int(float(high.value - self.f0.value) // self.df.value)
# crop
if copy:
return self[:, idx0:idx1].copy()
return self[:, idx0:idx1] | [
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Parameters
----------
low : `float`
lower frequency bound for cropped `Spectrogram`
high : `float`
upper frequency bound for cropped `Spectrogram`
copy : `bool`
if `False` return a view of the original data, otherwise create
a fresh memory copy
Returns
-------
spec : `Spectrogram`
A new `Spectrogram` with a subset of data from the frequency
axis | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Crop this `Spectrogram` to the specified frequencies
Parameters
----------
low : `float`
lower frequency bound for cropped `Spectrogram`
high : `float`
upper frequency bound for cropped `Spectrogram`
copy : `bool`
if `False` return a view of the original data, otherwise create
a fresh memory copy
Returns
-------
spec : `Spectrogram`
A new `Spectrogram` with a subset of data from the frequency
axis
### Response:
def crop_frequencies(self, low=None, high=None, copy=False):
"""Crop this `Spectrogram` to the specified frequencies
Parameters
----------
low : `float`
lower frequency bound for cropped `Spectrogram`
high : `float`
upper frequency bound for cropped `Spectrogram`
copy : `bool`
if `False` return a view of the original data, otherwise create
a fresh memory copy
Returns
-------
spec : `Spectrogram`
A new `Spectrogram` with a subset of data from the frequency
axis
"""
if low is not None:
low = units.Quantity(low, self._default_yunit)
if high is not None:
high = units.Quantity(high, self._default_yunit)
# check low frequency
if low is not None and low == self.f0:
low = None
elif low is not None and low < self.f0:
warnings.warn('Spectrogram.crop_frequencies given low frequency '
'cutoff below f0 of the input Spectrogram. Low '
'frequency crop will have no effect.')
# check high frequency
if high is not None and high.value == self.band[1]:
high = None
elif high is not None and high.value > self.band[1]:
warnings.warn('Spectrogram.crop_frequencies given high frequency '
'cutoff above cutoff of the input Spectrogram. High '
'frequency crop will have no effect.')
# find low index
if low is None:
idx0 = None
else:
idx0 = int(float(low.value - self.f0.value) // self.df.value)
# find high index
if high is None:
idx1 = None
else:
idx1 = int(float(high.value - self.f0.value) // self.df.value)
# crop
if copy:
return self[:, idx0:idx1].copy()
return self[:, idx0:idx1]
<|endoftext|> | [
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bokeh/bokeh | bokeh/document/document.py | Document.from_json | def from_json(cls, json):
''' Load a document from JSON.
json (JSON-data) :
A JSON-encoded document to create a new Document from.
Returns:
Document :
'''
roots_json = json['roots']
root_ids = roots_json['root_ids']
references_json = roots_json['references']
references = instantiate_references_json(references_json)
initialize_references_json(references_json, references)
doc = Document()
for r in root_ids:
doc.add_root(references[r])
doc.title = json['title']
return doc | python | def from_json(cls, json):
''' Load a document from JSON.
json (JSON-data) :
A JSON-encoded document to create a new Document from.
Returns:
Document :
'''
roots_json = json['roots']
root_ids = roots_json['root_ids']
references_json = roots_json['references']
references = instantiate_references_json(references_json)
initialize_references_json(references_json, references)
doc = Document()
for r in root_ids:
doc.add_root(references[r])
doc.title = json['title']
return doc | [
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] | train | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/document/document.py#L525-L548 | <|startoftext|>
### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Load a document from JSON.
json (JSON-data) :
A JSON-encoded document to create a new Document from.
Returns:
Document :
### Response:
def from_json(cls, json):
''' Load a document from JSON.
json (JSON-data) :
A JSON-encoded document to create a new Document from.
Returns:
Document :
'''
roots_json = json['roots']
root_ids = roots_json['root_ids']
references_json = roots_json['references']
references = instantiate_references_json(references_json)
initialize_references_json(references_json, references)
doc = Document()
for r in root_ids:
doc.add_root(references[r])
doc.title = json['title']
return doc
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RJT1990/pyflux | pyflux/ssm/dynlin.py | DynReg._forecast_model | def _forecast_model(self,beta,Z,h):
""" Creates forecasted states and variances
Parameters
----------
beta : np.ndarray
Contains untransformed starting values for latent variables
Returns
----------
a : np.ndarray
Forecasted states
P : np.ndarray
Variance of forecasted states
"""
T, _, R, Q, H = self._ss_matrices(beta)
return dl_univariate_kalman_fcst(self.data,Z,H,T,Q,R,0.0,h) | python | def _forecast_model(self,beta,Z,h):
""" Creates forecasted states and variances
Parameters
----------
beta : np.ndarray
Contains untransformed starting values for latent variables
Returns
----------
a : np.ndarray
Forecasted states
P : np.ndarray
Variance of forecasted states
"""
T, _, R, Q, H = self._ss_matrices(beta)
return dl_univariate_kalman_fcst(self.data,Z,H,T,Q,R,0.0,h) | [
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### Task:
Creates forecasted states and variances
Parameters
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beta : np.ndarray
Contains untransformed starting values for latent variables
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Forecasted states
P : np.ndarray
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Forecasted states
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Variance of forecasted states
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tomplus/kubernetes_asyncio | kubernetes_asyncio/client/api/core_v1_api.py | CoreV1Api.patch_namespaced_service | def patch_namespaced_service(self, name, namespace, body, **kwargs): # noqa: E501
"""patch_namespaced_service # noqa: E501
partially update the specified Service # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.patch_namespaced_service(name, namespace, body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: name of the Service (required)
:param str namespace: object name and auth scope, such as for teams and projects (required)
:param UNKNOWN_BASE_TYPE body: (required)
:param str pretty: If 'true', then the output is pretty printed.
:param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed
:return: V1Service
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.patch_namespaced_service_with_http_info(name, namespace, body, **kwargs) # noqa: E501
else:
(data) = self.patch_namespaced_service_with_http_info(name, namespace, body, **kwargs) # noqa: E501
return data | python | def patch_namespaced_service(self, name, namespace, body, **kwargs): # noqa: E501
"""patch_namespaced_service # noqa: E501
partially update the specified Service # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.patch_namespaced_service(name, namespace, body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: name of the Service (required)
:param str namespace: object name and auth scope, such as for teams and projects (required)
:param UNKNOWN_BASE_TYPE body: (required)
:param str pretty: If 'true', then the output is pretty printed.
:param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed
:return: V1Service
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.patch_namespaced_service_with_http_info(name, namespace, body, **kwargs) # noqa: E501
else:
(data) = self.patch_namespaced_service_with_http_info(name, namespace, body, **kwargs) # noqa: E501
return data | [
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partially update the specified Service # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.patch_namespaced_service(name, namespace, body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: name of the Service (required)
:param str namespace: object name and auth scope, such as for teams and projects (required)
:param UNKNOWN_BASE_TYPE body: (required)
:param str pretty: If 'true', then the output is pretty printed.
:param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed
:return: V1Service
If the method is called asynchronously,
returns the request thread. | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
patch_namespaced_service # noqa: E501
partially update the specified Service # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.patch_namespaced_service(name, namespace, body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: name of the Service (required)
:param str namespace: object name and auth scope, such as for teams and projects (required)
:param UNKNOWN_BASE_TYPE body: (required)
:param str pretty: If 'true', then the output is pretty printed.
:param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed
:return: V1Service
If the method is called asynchronously,
returns the request thread.
### Response:
def patch_namespaced_service(self, name, namespace, body, **kwargs): # noqa: E501
"""patch_namespaced_service # noqa: E501
partially update the specified Service # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.patch_namespaced_service(name, namespace, body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: name of the Service (required)
:param str namespace: object name and auth scope, such as for teams and projects (required)
:param UNKNOWN_BASE_TYPE body: (required)
:param str pretty: If 'true', then the output is pretty printed.
:param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed
:return: V1Service
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.patch_namespaced_service_with_http_info(name, namespace, body, **kwargs) # noqa: E501
else:
(data) = self.patch_namespaced_service_with_http_info(name, namespace, body, **kwargs) # noqa: E501
return data
<|endoftext|> | [
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OpenTreeOfLife/peyotl | peyotl/git_storage/git_action.py | GitActionBase._get_changed_docs | def _get_changed_docs(self,
ancestral_commit_sha,
doc_id_from_repo_path,
doc_ids_to_check=None):
"""Returns the set of documents that have changed on the master since
commit `ancestral_commit_sha` or `False` (on an error)
'doc_id_from_repo_path' is a required function
if `doc_ids_to_check` is passed in, it should be an iterable list of
IDs. Only IDs in this list will be returned.
"""
try:
x = git(self.gitdir,
self.gitwd,
"diff-tree",
"--name-only",
"-r",
ancestral_commit_sha,
"master")
except:
_LOG.exception('diff-tree failed')
return False
touched = set()
for f in x.split('\n'):
found_id = doc_id_from_repo_path(f)
if found_id:
touched.add(found_id)
if doc_ids_to_check:
tc = set(doc_ids_to_check)
return tc.intersection(touched)
return touched | python | def _get_changed_docs(self,
ancestral_commit_sha,
doc_id_from_repo_path,
doc_ids_to_check=None):
"""Returns the set of documents that have changed on the master since
commit `ancestral_commit_sha` or `False` (on an error)
'doc_id_from_repo_path' is a required function
if `doc_ids_to_check` is passed in, it should be an iterable list of
IDs. Only IDs in this list will be returned.
"""
try:
x = git(self.gitdir,
self.gitwd,
"diff-tree",
"--name-only",
"-r",
ancestral_commit_sha,
"master")
except:
_LOG.exception('diff-tree failed')
return False
touched = set()
for f in x.split('\n'):
found_id = doc_id_from_repo_path(f)
if found_id:
touched.add(found_id)
if doc_ids_to_check:
tc = set(doc_ids_to_check)
return tc.intersection(touched)
return touched | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Returns the set of documents that have changed on the master since
commit `ancestral_commit_sha` or `False` (on an error)
'doc_id_from_repo_path' is a required function
if `doc_ids_to_check` is passed in, it should be an iterable list of
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### Response:
def _get_changed_docs(self,
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doc_id_from_repo_path,
doc_ids_to_check=None):
"""Returns the set of documents that have changed on the master since
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'doc_id_from_repo_path' is a required function
if `doc_ids_to_check` is passed in, it should be an iterable list of
IDs. Only IDs in this list will be returned.
"""
try:
x = git(self.gitdir,
self.gitwd,
"diff-tree",
"--name-only",
"-r",
ancestral_commit_sha,
"master")
except:
_LOG.exception('diff-tree failed')
return False
touched = set()
for f in x.split('\n'):
found_id = doc_id_from_repo_path(f)
if found_id:
touched.add(found_id)
if doc_ids_to_check:
tc = set(doc_ids_to_check)
return tc.intersection(touched)
return touched
<|endoftext|> | [
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PyCQA/astroid | astroid/brain/brain_nose.py | _nose_tools_functions | def _nose_tools_functions():
"""Get an iterator of names and bound methods."""
module = _BUILDER.string_build(
textwrap.dedent(
"""
import unittest
class Test(unittest.TestCase):
pass
a = Test()
"""
)
)
try:
case = next(module["a"].infer())
except astroid.InferenceError:
return
for method in case.methods():
if method.name.startswith("assert") and "_" not in method.name:
pep8_name = _pep8(method.name)
yield pep8_name, astroid.BoundMethod(method, case)
if method.name == "assertEqual":
# nose also exports assert_equals.
yield "assert_equals", astroid.BoundMethod(method, case) | python | def _nose_tools_functions():
"""Get an iterator of names and bound methods."""
module = _BUILDER.string_build(
textwrap.dedent(
"""
import unittest
class Test(unittest.TestCase):
pass
a = Test()
"""
)
)
try:
case = next(module["a"].infer())
except astroid.InferenceError:
return
for method in case.methods():
if method.name.startswith("assert") and "_" not in method.name:
pep8_name = _pep8(method.name)
yield pep8_name, astroid.BoundMethod(method, case)
if method.name == "assertEqual":
# nose also exports assert_equals.
yield "assert_equals", astroid.BoundMethod(method, case) | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Get an iterator of names and bound methods.
### Response:
def _nose_tools_functions():
"""Get an iterator of names and bound methods."""
module = _BUILDER.string_build(
textwrap.dedent(
"""
import unittest
class Test(unittest.TestCase):
pass
a = Test()
"""
)
)
try:
case = next(module["a"].infer())
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return
for method in case.methods():
if method.name.startswith("assert") and "_" not in method.name:
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yield pep8_name, astroid.BoundMethod(method, case)
if method.name == "assertEqual":
# nose also exports assert_equals.
yield "assert_equals", astroid.BoundMethod(method, case)
<|endoftext|> | [
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JasonKessler/scattertext | scattertext/categoryprojector/CategoryProjector.py | CategoryProjectorBase.project_with_metadata | def project_with_metadata(self, term_doc_mat, x_dim=0, y_dim=1):
'''
Returns a projection of the
:param term_doc_mat: a TermDocMatrix
:return: CategoryProjection
'''
return self._project_category_corpus(self._get_category_metadata_corpus_and_replace_terms(term_doc_mat),
x_dim, y_dim) | python | def project_with_metadata(self, term_doc_mat, x_dim=0, y_dim=1):
'''
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:return: CategoryProjection
'''
return self._project_category_corpus(self._get_category_metadata_corpus_and_replace_terms(term_doc_mat),
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thelabnyc/wagtail_blog | blog/utils.py | unique_slugify | def unique_slugify(instance, value, slug_field_name='slug', queryset=None,
slug_separator='-'):
"""
Calculates and stores a unique slug of ``value`` for an instance.
``slug_field_name`` should be a string matching the name of the field to
store the slug in (and the field to check against for uniqueness).
``queryset`` usually doesn't need to be explicitly provided - it'll default
to using the ``.all()`` queryset from the model's default manager.
"""
slug_field = instance._meta.get_field(slug_field_name)
slug = getattr(instance, slug_field.attname)
slug_len = slug_field.max_length
# Sort out the initial slug, limiting its length if necessary.
slug = slugify(value)
if slug_len:
slug = slug[:slug_len]
slug = _slug_strip(slug, slug_separator)
original_slug = slug
# Create the queryset if one wasn't explicitly provided and exclude the
# current instance from the queryset.
if queryset is None:
queryset = instance.__class__._default_manager.all()
if instance.pk:
queryset = queryset.exclude(pk=instance.pk)
# Find a unique slug. If one matches, at '-2' to the end and try again
# (then '-3', etc).
next = 2
while not slug or queryset.filter(**{slug_field_name: slug}):
slug = original_slug
end = '%s%s' % (slug_separator, next)
if slug_len and len(slug) + len(end) > slug_len:
slug = slug[:slug_len-len(end)]
slug = _slug_strip(slug, slug_separator)
slug = '%s%s' % (slug, end)
next += 1
setattr(instance, slug_field.attname, slug) | python | def unique_slugify(instance, value, slug_field_name='slug', queryset=None,
slug_separator='-'):
"""
Calculates and stores a unique slug of ``value`` for an instance.
``slug_field_name`` should be a string matching the name of the field to
store the slug in (and the field to check against for uniqueness).
``queryset`` usually doesn't need to be explicitly provided - it'll default
to using the ``.all()`` queryset from the model's default manager.
"""
slug_field = instance._meta.get_field(slug_field_name)
slug = getattr(instance, slug_field.attname)
slug_len = slug_field.max_length
# Sort out the initial slug, limiting its length if necessary.
slug = slugify(value)
if slug_len:
slug = slug[:slug_len]
slug = _slug_strip(slug, slug_separator)
original_slug = slug
# Create the queryset if one wasn't explicitly provided and exclude the
# current instance from the queryset.
if queryset is None:
queryset = instance.__class__._default_manager.all()
if instance.pk:
queryset = queryset.exclude(pk=instance.pk)
# Find a unique slug. If one matches, at '-2' to the end and try again
# (then '-3', etc).
next = 2
while not slug or queryset.filter(**{slug_field_name: slug}):
slug = original_slug
end = '%s%s' % (slug_separator, next)
if slug_len and len(slug) + len(end) > slug_len:
slug = slug[:slug_len-len(end)]
slug = _slug_strip(slug, slug_separator)
slug = '%s%s' % (slug, end)
next += 1
setattr(instance, slug_field.attname, slug) | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Calculates and stores a unique slug of ``value`` for an instance.
``slug_field_name`` should be a string matching the name of the field to
store the slug in (and the field to check against for uniqueness).
``queryset`` usually doesn't need to be explicitly provided - it'll default
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### Response:
def unique_slugify(instance, value, slug_field_name='slug', queryset=None,
slug_separator='-'):
"""
Calculates and stores a unique slug of ``value`` for an instance.
``slug_field_name`` should be a string matching the name of the field to
store the slug in (and the field to check against for uniqueness).
``queryset`` usually doesn't need to be explicitly provided - it'll default
to using the ``.all()`` queryset from the model's default manager.
"""
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slug = getattr(instance, slug_field.attname)
slug_len = slug_field.max_length
# Sort out the initial slug, limiting its length if necessary.
slug = slugify(value)
if slug_len:
slug = slug[:slug_len]
slug = _slug_strip(slug, slug_separator)
original_slug = slug
# Create the queryset if one wasn't explicitly provided and exclude the
# current instance from the queryset.
if queryset is None:
queryset = instance.__class__._default_manager.all()
if instance.pk:
queryset = queryset.exclude(pk=instance.pk)
# Find a unique slug. If one matches, at '-2' to the end and try again
# (then '-3', etc).
next = 2
while not slug or queryset.filter(**{slug_field_name: slug}):
slug = original_slug
end = '%s%s' % (slug_separator, next)
if slug_len and len(slug) + len(end) > slug_len:
slug = slug[:slug_len-len(end)]
slug = _slug_strip(slug, slug_separator)
slug = '%s%s' % (slug, end)
next += 1
setattr(instance, slug_field.attname, slug)
<|endoftext|> | [
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beregond/jsonmodels | jsonmodels/utilities.py | compare_schemas | def compare_schemas(one, two):
"""Compare two structures that represents JSON schemas.
For comparison you can't use normal comparison, because in JSON schema
lists DO NOT keep order (and Python lists do), so this must be taken into
account during comparison.
Note this wont check all configurations, only first one that seems to
match, which can lead to wrong results.
:param one: First schema to compare.
:param two: Second schema to compare.
:rtype: `bool`
"""
one = _normalize_string_type(one)
two = _normalize_string_type(two)
_assert_same_types(one, two)
if isinstance(one, list):
return _compare_lists(one, two)
elif isinstance(one, dict):
return _compare_dicts(one, two)
elif isinstance(one, SCALAR_TYPES):
return one == two
elif one is None:
return one is two
else:
raise RuntimeError('Not allowed type "{type}"'.format(
type=type(one).__name__)) | python | def compare_schemas(one, two):
"""Compare two structures that represents JSON schemas.
For comparison you can't use normal comparison, because in JSON schema
lists DO NOT keep order (and Python lists do), so this must be taken into
account during comparison.
Note this wont check all configurations, only first one that seems to
match, which can lead to wrong results.
:param one: First schema to compare.
:param two: Second schema to compare.
:rtype: `bool`
"""
one = _normalize_string_type(one)
two = _normalize_string_type(two)
_assert_same_types(one, two)
if isinstance(one, list):
return _compare_lists(one, two)
elif isinstance(one, dict):
return _compare_dicts(one, two)
elif isinstance(one, SCALAR_TYPES):
return one == two
elif one is None:
return one is two
else:
raise RuntimeError('Not allowed type "{type}"'.format(
type=type(one).__name__)) | [
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For comparison you can't use normal comparison, because in JSON schema
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account during comparison.
Note this wont check all configurations, only first one that seems to
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Compare two structures that represents JSON schemas.
For comparison you can't use normal comparison, because in JSON schema
lists DO NOT keep order (and Python lists do), so this must be taken into
account during comparison.
Note this wont check all configurations, only first one that seems to
match, which can lead to wrong results.
:param one: First schema to compare.
:param two: Second schema to compare.
:rtype: `bool`
### Response:
def compare_schemas(one, two):
"""Compare two structures that represents JSON schemas.
For comparison you can't use normal comparison, because in JSON schema
lists DO NOT keep order (and Python lists do), so this must be taken into
account during comparison.
Note this wont check all configurations, only first one that seems to
match, which can lead to wrong results.
:param one: First schema to compare.
:param two: Second schema to compare.
:rtype: `bool`
"""
one = _normalize_string_type(one)
two = _normalize_string_type(two)
_assert_same_types(one, two)
if isinstance(one, list):
return _compare_lists(one, two)
elif isinstance(one, dict):
return _compare_dicts(one, two)
elif isinstance(one, SCALAR_TYPES):
return one == two
elif one is None:
return one is two
else:
raise RuntimeError('Not allowed type "{type}"'.format(
type=type(one).__name__))
<|endoftext|> | [
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ui/django-post_office | post_office/models.py | get_upload_path | def get_upload_path(instance, filename):
"""Overriding to store the original filename"""
if not instance.name:
instance.name = filename # set original filename
date = timezone.now().date()
filename = '{name}.{ext}'.format(name=uuid4().hex,
ext=filename.split('.')[-1])
return os.path.join('post_office_attachments', str(date.year),
str(date.month), str(date.day), filename) | python | def get_upload_path(instance, filename):
"""Overriding to store the original filename"""
if not instance.name:
instance.name = filename # set original filename
date = timezone.now().date()
filename = '{name}.{ext}'.format(name=uuid4().hex,
ext=filename.split('.')[-1])
return os.path.join('post_office_attachments', str(date.year),
str(date.month), str(date.day), filename) | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Overriding to store the original filename
### Response:
def get_upload_path(instance, filename):
"""Overriding to store the original filename"""
if not instance.name:
instance.name = filename # set original filename
date = timezone.now().date()
filename = '{name}.{ext}'.format(name=uuid4().hex,
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OpenGov/carpenter | carpenter/blocks/block.py | BlockValidator._stringify_row | def _stringify_row(self, row_index):
'''
Stringifies an entire row, filling in blanks with prior titles as they are found.
'''
table_row = self.table[row_index]
prior_cell = None
for column_index in range(self.start[1], self.end[1]):
cell, changed = self._check_interpret_cell(table_row[column_index], prior_cell, row_index, column_index)
if changed:
table_row[column_index] = cell
prior_cell = cell | python | def _stringify_row(self, row_index):
'''
Stringifies an entire row, filling in blanks with prior titles as they are found.
'''
table_row = self.table[row_index]
prior_cell = None
for column_index in range(self.start[1], self.end[1]):
cell, changed = self._check_interpret_cell(table_row[column_index], prior_cell, row_index, column_index)
if changed:
table_row[column_index] = cell
prior_cell = cell | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Stringifies an entire row, filling in blanks with prior titles as they are found.
### Response:
def _stringify_row(self, row_index):
'''
Stringifies an entire row, filling in blanks with prior titles as they are found.
'''
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_dict = {}
if hasattr(self, 'grammars') and self.grammars is not None:
_dict['grammars'] = [x._to_dict() for x in self.grammars]
return _dict | python | def _to_dict(self):
"""Return a json dictionary representing this model."""
_dict = {}
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You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
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ssato/python-anyconfig | src/anyconfig/backend/ini.py | _load | def _load(stream, container, sep=_SEP, dkey=DEFAULTSECT, **kwargs):
"""
:param stream: File or file-like object provides ini-style conf
:param container: any callable to make container
:param sep: Seprator string
:param dkey: Default section name
:return: Dict or dict-like object represents config values
"""
(kwargs_1, psr) = _make_parser(**kwargs)
if IS_PYTHON_3:
psr.read_file(stream, **kwargs_1)
else:
psr.readfp(stream, **kwargs_1)
cnf = container()
kwargs["sep"] = sep
defaults = psr.defaults()
if defaults:
cnf[dkey] = container(_parsed_items(iteritems(defaults), **kwargs))
for sect in psr.sections():
cnf[sect] = container(_parsed_items(psr.items(sect), **kwargs))
return cnf | python | def _load(stream, container, sep=_SEP, dkey=DEFAULTSECT, **kwargs):
"""
:param stream: File or file-like object provides ini-style conf
:param container: any callable to make container
:param sep: Seprator string
:param dkey: Default section name
:return: Dict or dict-like object represents config values
"""
(kwargs_1, psr) = _make_parser(**kwargs)
if IS_PYTHON_3:
psr.read_file(stream, **kwargs_1)
else:
psr.readfp(stream, **kwargs_1)
cnf = container()
kwargs["sep"] = sep
defaults = psr.defaults()
if defaults:
cnf[dkey] = container(_parsed_items(iteritems(defaults), **kwargs))
for sect in psr.sections():
cnf[sect] = container(_parsed_items(psr.items(sect), **kwargs))
return cnf | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
:param stream: File or file-like object provides ini-style conf
:param container: any callable to make container
:param sep: Seprator string
:param dkey: Default section name
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def _load(stream, container, sep=_SEP, dkey=DEFAULTSECT, **kwargs):
"""
:param stream: File or file-like object provides ini-style conf
:param container: any callable to make container
:param sep: Seprator string
:param dkey: Default section name
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psr.read_file(stream, **kwargs_1)
else:
psr.readfp(stream, **kwargs_1)
cnf = container()
kwargs["sep"] = sep
defaults = psr.defaults()
if defaults:
cnf[dkey] = container(_parsed_items(iteritems(defaults), **kwargs))
for sect in psr.sections():
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konstantinstadler/country_converter | country_converter/country_converter.py | CountryConverter.get_correspondance_dict | def get_correspondance_dict(self, classA, classB,
restrict=None,
replace_numeric=True):
""" Returns a correspondance between classification A and B as dict
Parameters
----------
classA: str
Valid classification (column name of data)
classB: str
Valid classification (column name of data).
restrict: boolean vector of size cc.data, optional
where cc is the name of the CountryConverter instance. Used to
restrict the data sheet if necessary. E.g. to convert to countries
which were OECD members before 1970 use
cc.get_correspondance_dict('ISO3', 'OECD', restrict=cc.data.OECD <
1970)
replace_numeric: boolean, optional
If True (default) replace numeric values with the column header.
This can be used if get a correspondance to, for example, 'OECD'
instead of to the OECD membership years. Set to False if the actual
numbers are required (as for UNcode).
Returns
-------
dict with
keys: based on classA
items: list of correspoding entries in classB or None
"""
result = {nn: None for nn in self.data[classA].values}
if restrict is None:
df = self.data.copy()
else:
df = self.data[restrict].copy()
if replace_numeric and df[classB].dtype.kind in 'bifc':
df.loc[~df[classB].isnull(), classB] = classB
df.loc[df[classB].isnull(), classB] = None
result.update(df.groupby(classA)
.aggregate(lambda x: list(x.unique()))
.to_dict()[classB])
return result | python | def get_correspondance_dict(self, classA, classB,
restrict=None,
replace_numeric=True):
""" Returns a correspondance between classification A and B as dict
Parameters
----------
classA: str
Valid classification (column name of data)
classB: str
Valid classification (column name of data).
restrict: boolean vector of size cc.data, optional
where cc is the name of the CountryConverter instance. Used to
restrict the data sheet if necessary. E.g. to convert to countries
which were OECD members before 1970 use
cc.get_correspondance_dict('ISO3', 'OECD', restrict=cc.data.OECD <
1970)
replace_numeric: boolean, optional
If True (default) replace numeric values with the column header.
This can be used if get a correspondance to, for example, 'OECD'
instead of to the OECD membership years. Set to False if the actual
numbers are required (as for UNcode).
Returns
-------
dict with
keys: based on classA
items: list of correspoding entries in classB or None
"""
result = {nn: None for nn in self.data[classA].values}
if restrict is None:
df = self.data.copy()
else:
df = self.data[restrict].copy()
if replace_numeric and df[classB].dtype.kind in 'bifc':
df.loc[~df[classB].isnull(), classB] = classB
df.loc[df[classB].isnull(), classB] = None
result.update(df.groupby(classA)
.aggregate(lambda x: list(x.unique()))
.to_dict()[classB])
return result | [
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Valid classification (column name of data)
classB: str
Valid classification (column name of data).
restrict: boolean vector of size cc.data, optional
where cc is the name of the CountryConverter instance. Used to
restrict the data sheet if necessary. E.g. to convert to countries
which were OECD members before 1970 use
cc.get_correspondance_dict('ISO3', 'OECD', restrict=cc.data.OECD <
1970)
replace_numeric: boolean, optional
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This can be used if get a correspondance to, for example, 'OECD'
instead of to the OECD membership years. Set to False if the actual
numbers are required (as for UNcode).
Returns
-------
dict with
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items: list of correspoding entries in classB or None | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Returns a correspondance between classification A and B as dict
Parameters
----------
classA: str
Valid classification (column name of data)
classB: str
Valid classification (column name of data).
restrict: boolean vector of size cc.data, optional
where cc is the name of the CountryConverter instance. Used to
restrict the data sheet if necessary. E.g. to convert to countries
which were OECD members before 1970 use
cc.get_correspondance_dict('ISO3', 'OECD', restrict=cc.data.OECD <
1970)
replace_numeric: boolean, optional
If True (default) replace numeric values with the column header.
This can be used if get a correspondance to, for example, 'OECD'
instead of to the OECD membership years. Set to False if the actual
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Returns
-------
dict with
keys: based on classA
items: list of correspoding entries in classB or None
### Response:
def get_correspondance_dict(self, classA, classB,
restrict=None,
replace_numeric=True):
""" Returns a correspondance between classification A and B as dict
Parameters
----------
classA: str
Valid classification (column name of data)
classB: str
Valid classification (column name of data).
restrict: boolean vector of size cc.data, optional
where cc is the name of the CountryConverter instance. Used to
restrict the data sheet if necessary. E.g. to convert to countries
which were OECD members before 1970 use
cc.get_correspondance_dict('ISO3', 'OECD', restrict=cc.data.OECD <
1970)
replace_numeric: boolean, optional
If True (default) replace numeric values with the column header.
This can be used if get a correspondance to, for example, 'OECD'
instead of to the OECD membership years. Set to False if the actual
numbers are required (as for UNcode).
Returns
-------
dict with
keys: based on classA
items: list of correspoding entries in classB or None
"""
result = {nn: None for nn in self.data[classA].values}
if restrict is None:
df = self.data.copy()
else:
df = self.data[restrict].copy()
if replace_numeric and df[classB].dtype.kind in 'bifc':
df.loc[~df[classB].isnull(), classB] = classB
df.loc[df[classB].isnull(), classB] = None
result.update(df.groupby(classA)
.aggregate(lambda x: list(x.unique()))
.to_dict()[classB])
return result
<|endoftext|> | [
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mattbierner/blotre-py | blotre.py | create_disposable | def create_disposable(clientInfo, config = {}):
"""
Create a new disposable client.
"""
response = requests.put(
_format_url(
_extend(DEFAULT_CONFIG, config),
OAUTH2_ROOT + 'disposable'),
json = clientInfo)
if response.status_code != 200:
return None
else:
body = response.json()
return Blotre({
'client_id': body['id'],
'client_secret': body['secret'],
'code': body['code']
}, config = config) | python | def create_disposable(clientInfo, config = {}):
"""
Create a new disposable client.
"""
response = requests.put(
_format_url(
_extend(DEFAULT_CONFIG, config),
OAUTH2_ROOT + 'disposable'),
json = clientInfo)
if response.status_code != 200:
return None
else:
body = response.json()
return Blotre({
'client_id': body['id'],
'client_secret': body['secret'],
'code': body['code']
}, config = config) | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Create a new disposable client.
### Response:
def create_disposable(clientInfo, config = {}):
"""
Create a new disposable client.
"""
response = requests.put(
_format_url(
_extend(DEFAULT_CONFIG, config),
OAUTH2_ROOT + 'disposable'),
json = clientInfo)
if response.status_code != 200:
return None
else:
body = response.json()
return Blotre({
'client_id': body['id'],
'client_secret': body['secret'],
'code': body['code']
}, config = config)
<|endoftext|> | [
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juju/charm-helpers | charmhelpers/contrib/database/mysql.py | MySQLHelper.execute | def execute(self, sql):
"""Execute arbitary SQL against the database."""
cursor = self.connection.cursor()
try:
cursor.execute(sql)
finally:
cursor.close() | python | def execute(self, sql):
"""Execute arbitary SQL against the database."""
cursor = self.connection.cursor()
try:
cursor.execute(sql)
finally:
cursor.close() | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Execute arbitary SQL against the database.
### Response:
def execute(self, sql):
"""Execute arbitary SQL against the database."""
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dslackw/slpkg | slpkg/status_deps.py | DependenciesStatus.show | def show(self):
"""Show dependencies status
"""
self.data()
print("")
self.msg.template(78)
print("| {0}{1}{2}".format("Dependencies", " " * 20, "Packages"))
self.msg.template(78)
for key, value in self.dmap.iteritems():
print(" {0}{1}{2}{3}{4}".format(
self.green, key, self.endc, " " * (32-len(key)),
", ".join(value)))
self.summary()
if self.image:
Graph(self.image).dependencies(self.dmap) | python | def show(self):
"""Show dependencies status
"""
self.data()
print("")
self.msg.template(78)
print("| {0}{1}{2}".format("Dependencies", " " * 20, "Packages"))
self.msg.template(78)
for key, value in self.dmap.iteritems():
print(" {0}{1}{2}{3}{4}".format(
self.green, key, self.endc, " " * (32-len(key)),
", ".join(value)))
self.summary()
if self.image:
Graph(self.image).dependencies(self.dmap) | [
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] | train | https://github.com/dslackw/slpkg/blob/dd2e08a80e944d337d157b992167ba631a4343de/slpkg/status_deps.py#L84-L98 | <|startoftext|>
### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Show dependencies status
### Response:
def show(self):
"""Show dependencies status
"""
self.data()
print("")
self.msg.template(78)
print("| {0}{1}{2}".format("Dependencies", " " * 20, "Packages"))
self.msg.template(78)
for key, value in self.dmap.iteritems():
print(" {0}{1}{2}{3}{4}".format(
self.green, key, self.endc, " " * (32-len(key)),
", ".join(value)))
self.summary()
if self.image:
Graph(self.image).dependencies(self.dmap)
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pyviz/holoviews | holoviews/core/spaces.py | HoloMap.split_overlays | def split_overlays(self):
"Deprecated method to split overlays inside the HoloMap."
if util.config.future_deprecations:
self.param.warning("split_overlays is deprecated and is now "
"a private method.")
return self._split_overlays() | python | def split_overlays(self):
"Deprecated method to split overlays inside the HoloMap."
if util.config.future_deprecations:
self.param.warning("split_overlays is deprecated and is now "
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Deprecated method to split overlays inside the HoloMap.
### Response:
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manns/pyspread | pyspread/src/lib/vlc.py | libvlc_video_get_spu | def libvlc_video_get_spu(p_mi):
'''Get current video subtitle.
@param p_mi: the media player.
@return: the video subtitle selected, or -1 if none.
'''
f = _Cfunctions.get('libvlc_video_get_spu', None) or \
_Cfunction('libvlc_video_get_spu', ((1,),), None,
ctypes.c_int, MediaPlayer)
return f(p_mi) | python | def libvlc_video_get_spu(p_mi):
'''Get current video subtitle.
@param p_mi: the media player.
@return: the video subtitle selected, or -1 if none.
'''
f = _Cfunctions.get('libvlc_video_get_spu', None) or \
_Cfunction('libvlc_video_get_spu', ((1,),), None,
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return f(p_mi) | [
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rckclmbr/pyportify | pyportify/pkcs1/primes.py | is_prime | def is_prime(n, rnd=default_pseudo_random, k=DEFAULT_ITERATION,
algorithm=None):
'''Test if n is a prime number
m - the integer to test
rnd - the random number generator to use for the probalistic primality
algorithms,
k - the number of iterations to use for the probabilistic primality
algorithms,
algorithm - the primality algorithm to use, default is Miller-Rabin. The
gmpy implementation is used if gmpy is installed.
Return value: True is n seems prime, False otherwise.
'''
if algorithm is None:
algorithm = PRIME_ALGO
if algorithm == 'gmpy-miller-rabin':
if not gmpy:
raise NotImplementedError
return gmpy.is_prime(n, k)
elif algorithm == 'miller-rabin':
# miller rabin probability of primality is 1/4**k
return miller_rabin(n, k, rnd=rnd)
elif algorithm == 'solovay-strassen':
# for jacobi it's 1/2**k
return randomized_primality_testing(n, rnd=rnd, k=k*2)
else:
raise NotImplementedError | python | def is_prime(n, rnd=default_pseudo_random, k=DEFAULT_ITERATION,
algorithm=None):
'''Test if n is a prime number
m - the integer to test
rnd - the random number generator to use for the probalistic primality
algorithms,
k - the number of iterations to use for the probabilistic primality
algorithms,
algorithm - the primality algorithm to use, default is Miller-Rabin. The
gmpy implementation is used if gmpy is installed.
Return value: True is n seems prime, False otherwise.
'''
if algorithm is None:
algorithm = PRIME_ALGO
if algorithm == 'gmpy-miller-rabin':
if not gmpy:
raise NotImplementedError
return gmpy.is_prime(n, k)
elif algorithm == 'miller-rabin':
# miller rabin probability of primality is 1/4**k
return miller_rabin(n, k, rnd=rnd)
elif algorithm == 'solovay-strassen':
# for jacobi it's 1/2**k
return randomized_primality_testing(n, rnd=rnd, k=k*2)
else:
raise NotImplementedError | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Test if n is a prime number
m - the integer to test
rnd - the random number generator to use for the probalistic primality
algorithms,
k - the number of iterations to use for the probabilistic primality
algorithms,
algorithm - the primality algorithm to use, default is Miller-Rabin. The
gmpy implementation is used if gmpy is installed.
Return value: True is n seems prime, False otherwise.
### Response:
def is_prime(n, rnd=default_pseudo_random, k=DEFAULT_ITERATION,
algorithm=None):
'''Test if n is a prime number
m - the integer to test
rnd - the random number generator to use for the probalistic primality
algorithms,
k - the number of iterations to use for the probabilistic primality
algorithms,
algorithm - the primality algorithm to use, default is Miller-Rabin. The
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'''
if algorithm is None:
algorithm = PRIME_ALGO
if algorithm == 'gmpy-miller-rabin':
if not gmpy:
raise NotImplementedError
return gmpy.is_prime(n, k)
elif algorithm == 'miller-rabin':
# miller rabin probability of primality is 1/4**k
return miller_rabin(n, k, rnd=rnd)
elif algorithm == 'solovay-strassen':
# for jacobi it's 1/2**k
return randomized_primality_testing(n, rnd=rnd, k=k*2)
else:
raise NotImplementedError
<|endoftext|> | [
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quadrismegistus/prosodic | prosodic/entity.py | entity.ents | def ents(self,cls="Word",flattenList=True):
"""Returns a list of entities of the classname specified the second argument.
For instance. to call a Word-object's ents('Phoneme') would return a list of the word's Phoneme objects sequentially.
This method recursively searches the self-object's children for the type of object specified."""
ents = []
"""
print 'getting entities',self.classname()
if self.classname() == cls:
return [self]
else:
for child in self.children:
if type(child)==type([]):
if flattenList:
ents+=child[0].ents(cls=cls,flattenList=flattenList)
else:
ents_list2ndlevel=[]
for chld in child:
if chld:
ents_list2ndlevel+=chld.ents(cls=cls,flattenList=flattenList)
ents+=[ents_list2ndlevel]
else:
if child:
ents += child.ents(cls=cls,flattenList=flattenList)
"""
#print 'getting entities',self.classname()
if self.classname() == cls:
return [self]
else:
for child in self.children:
#print child,child.classname()
if child.classname()=='WordToken':
if cls=='WordToken':
ents+=[child]
elif not child.children:
pass
elif cls=='Word':
if flattenList:
ents+=[child.children[0]]
else:
ents+=[child.children]
else:
if child:
ents += child.children[0].ents(cls=cls,flattenList=flattenList)
else:
if child:
ents += child.ents(cls=cls,flattenList=flattenList)
return ents | python | def ents(self,cls="Word",flattenList=True):
"""Returns a list of entities of the classname specified the second argument.
For instance. to call a Word-object's ents('Phoneme') would return a list of the word's Phoneme objects sequentially.
This method recursively searches the self-object's children for the type of object specified."""
ents = []
"""
print 'getting entities',self.classname()
if self.classname() == cls:
return [self]
else:
for child in self.children:
if type(child)==type([]):
if flattenList:
ents+=child[0].ents(cls=cls,flattenList=flattenList)
else:
ents_list2ndlevel=[]
for chld in child:
if chld:
ents_list2ndlevel+=chld.ents(cls=cls,flattenList=flattenList)
ents+=[ents_list2ndlevel]
else:
if child:
ents += child.ents(cls=cls,flattenList=flattenList)
"""
#print 'getting entities',self.classname()
if self.classname() == cls:
return [self]
else:
for child in self.children:
#print child,child.classname()
if child.classname()=='WordToken':
if cls=='WordToken':
ents+=[child]
elif not child.children:
pass
elif cls=='Word':
if flattenList:
ents+=[child.children[0]]
else:
ents+=[child.children]
else:
if child:
ents += child.children[0].ents(cls=cls,flattenList=flattenList)
else:
if child:
ents += child.ents(cls=cls,flattenList=flattenList)
return ents | [
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For instance. to call a Word-object's ents('Phoneme') would return a list of the word's Phoneme objects sequentially.
This method recursively searches the self-object's children for the type of object specified. | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Returns a list of entities of the classname specified the second argument.
For instance. to call a Word-object's ents('Phoneme') would return a list of the word's Phoneme objects sequentially.
This method recursively searches the self-object's children for the type of object specified.
### Response:
def ents(self,cls="Word",flattenList=True):
"""Returns a list of entities of the classname specified the second argument.
For instance. to call a Word-object's ents('Phoneme') would return a list of the word's Phoneme objects sequentially.
This method recursively searches the self-object's children for the type of object specified."""
ents = []
"""
print 'getting entities',self.classname()
if self.classname() == cls:
return [self]
else:
for child in self.children:
if type(child)==type([]):
if flattenList:
ents+=child[0].ents(cls=cls,flattenList=flattenList)
else:
ents_list2ndlevel=[]
for chld in child:
if chld:
ents_list2ndlevel+=chld.ents(cls=cls,flattenList=flattenList)
ents+=[ents_list2ndlevel]
else:
if child:
ents += child.ents(cls=cls,flattenList=flattenList)
"""
#print 'getting entities',self.classname()
if self.classname() == cls:
return [self]
else:
for child in self.children:
#print child,child.classname()
if child.classname()=='WordToken':
if cls=='WordToken':
ents+=[child]
elif not child.children:
pass
elif cls=='Word':
if flattenList:
ents+=[child.children[0]]
else:
ents+=[child.children]
else:
if child:
ents += child.children[0].ents(cls=cls,flattenList=flattenList)
else:
if child:
ents += child.ents(cls=cls,flattenList=flattenList)
return ents
<|endoftext|> | [
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google/python-gflags | gflags/flagvalues.py | FlagValues._ParseArgs | def _ParseArgs(self, args, known_only):
"""Helper function to do the main argument parsing.
This function goes through args and does the bulk of the flag parsing.
It will find the corresponding flag in our flag dictionary, and call its
.parse() method on the flag value.
Args:
args: List of strings with the arguments to parse.
known_only: parse and remove known flags, return rest in unparsed_args
Returns:
A tuple with the following:
unknown_flags: List of (flag name, arg) for flags we don't know about.
unparsed_args: List of arguments we did not parse.
undefok: Set of flags that were given via --undefok.
Raises:
Error: on any parsing error.
ValueError: on flag value parsing error.
"""
unknown_flags, unparsed_args, undefok = [], [], set()
flag_dict = self.FlagDict()
args = iter(args)
for arg in args:
value = None
def GetValue():
# pylint: disable=cell-var-from-loop
try:
return next(args) if value is None else value
except StopIteration:
raise exceptions.Error('Missing value for flag ' + arg)
if not arg.startswith('-'):
# A non-argument: default is break, GNU is skip.
unparsed_args.append(arg)
if self.IsGnuGetOpt():
continue
else:
break
if arg == '--':
if known_only:
unparsed_args.append(arg)
break
if '=' in arg:
name, value = arg.lstrip('-').split('=', 1)
else:
name, value = arg.lstrip('-'), None
if not name:
# The argument is all dashes (including one dash).
unparsed_args.append(arg)
if self.IsGnuGetOpt():
continue
else:
break
# --undefok is a special case.
if name == 'undefok':
if known_only:
unparsed_args.append(arg)
value = GetValue()
undefok.update(v.strip() for v in value.split(','))
undefok.update('no' + v.strip() for v in value.split(','))
continue
flag = flag_dict.get(name)
if flag:
value = (flag.boolean and value is None) or GetValue()
elif name.startswith('no') and len(name) > 2:
# Boolean flags can take the form of --noflag, with no value.
noflag = flag_dict.get(name[2:])
if noflag and noflag.boolean:
if value is not None:
raise ValueError(arg + ' does not take an argument')
flag = noflag
value = False
if flag:
flag.parse(value)
flag.using_default_value = False
elif known_only:
unparsed_args.append(arg)
else:
unknown_flags.append((name, arg))
unparsed_args.extend(args)
return unknown_flags, unparsed_args, undefok | python | def _ParseArgs(self, args, known_only):
"""Helper function to do the main argument parsing.
This function goes through args and does the bulk of the flag parsing.
It will find the corresponding flag in our flag dictionary, and call its
.parse() method on the flag value.
Args:
args: List of strings with the arguments to parse.
known_only: parse and remove known flags, return rest in unparsed_args
Returns:
A tuple with the following:
unknown_flags: List of (flag name, arg) for flags we don't know about.
unparsed_args: List of arguments we did not parse.
undefok: Set of flags that were given via --undefok.
Raises:
Error: on any parsing error.
ValueError: on flag value parsing error.
"""
unknown_flags, unparsed_args, undefok = [], [], set()
flag_dict = self.FlagDict()
args = iter(args)
for arg in args:
value = None
def GetValue():
# pylint: disable=cell-var-from-loop
try:
return next(args) if value is None else value
except StopIteration:
raise exceptions.Error('Missing value for flag ' + arg)
if not arg.startswith('-'):
# A non-argument: default is break, GNU is skip.
unparsed_args.append(arg)
if self.IsGnuGetOpt():
continue
else:
break
if arg == '--':
if known_only:
unparsed_args.append(arg)
break
if '=' in arg:
name, value = arg.lstrip('-').split('=', 1)
else:
name, value = arg.lstrip('-'), None
if not name:
# The argument is all dashes (including one dash).
unparsed_args.append(arg)
if self.IsGnuGetOpt():
continue
else:
break
# --undefok is a special case.
if name == 'undefok':
if known_only:
unparsed_args.append(arg)
value = GetValue()
undefok.update(v.strip() for v in value.split(','))
undefok.update('no' + v.strip() for v in value.split(','))
continue
flag = flag_dict.get(name)
if flag:
value = (flag.boolean and value is None) or GetValue()
elif name.startswith('no') and len(name) > 2:
# Boolean flags can take the form of --noflag, with no value.
noflag = flag_dict.get(name[2:])
if noflag and noflag.boolean:
if value is not None:
raise ValueError(arg + ' does not take an argument')
flag = noflag
value = False
if flag:
flag.parse(value)
flag.using_default_value = False
elif known_only:
unparsed_args.append(arg)
else:
unknown_flags.append((name, arg))
unparsed_args.extend(args)
return unknown_flags, unparsed_args, undefok | [
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] | Helper function to do the main argument parsing.
This function goes through args and does the bulk of the flag parsing.
It will find the corresponding flag in our flag dictionary, and call its
.parse() method on the flag value.
Args:
args: List of strings with the arguments to parse.
known_only: parse and remove known flags, return rest in unparsed_args
Returns:
A tuple with the following:
unknown_flags: List of (flag name, arg) for flags we don't know about.
unparsed_args: List of arguments we did not parse.
undefok: Set of flags that were given via --undefok.
Raises:
Error: on any parsing error.
ValueError: on flag value parsing error. | [
"Helper",
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"."
] | train | https://github.com/google/python-gflags/blob/4f06c3d0d6cbe9b1fb90ee9fb1c082b3bf9285f6/gflags/flagvalues.py#L714-L806 | <|startoftext|>
### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Helper function to do the main argument parsing.
This function goes through args and does the bulk of the flag parsing.
It will find the corresponding flag in our flag dictionary, and call its
.parse() method on the flag value.
Args:
args: List of strings with the arguments to parse.
known_only: parse and remove known flags, return rest in unparsed_args
Returns:
A tuple with the following:
unknown_flags: List of (flag name, arg) for flags we don't know about.
unparsed_args: List of arguments we did not parse.
undefok: Set of flags that were given via --undefok.
Raises:
Error: on any parsing error.
ValueError: on flag value parsing error.
### Response:
def _ParseArgs(self, args, known_only):
"""Helper function to do the main argument parsing.
This function goes through args and does the bulk of the flag parsing.
It will find the corresponding flag in our flag dictionary, and call its
.parse() method on the flag value.
Args:
args: List of strings with the arguments to parse.
known_only: parse and remove known flags, return rest in unparsed_args
Returns:
A tuple with the following:
unknown_flags: List of (flag name, arg) for flags we don't know about.
unparsed_args: List of arguments we did not parse.
undefok: Set of flags that were given via --undefok.
Raises:
Error: on any parsing error.
ValueError: on flag value parsing error.
"""
unknown_flags, unparsed_args, undefok = [], [], set()
flag_dict = self.FlagDict()
args = iter(args)
for arg in args:
value = None
def GetValue():
# pylint: disable=cell-var-from-loop
try:
return next(args) if value is None else value
except StopIteration:
raise exceptions.Error('Missing value for flag ' + arg)
if not arg.startswith('-'):
# A non-argument: default is break, GNU is skip.
unparsed_args.append(arg)
if self.IsGnuGetOpt():
continue
else:
break
if arg == '--':
if known_only:
unparsed_args.append(arg)
break
if '=' in arg:
name, value = arg.lstrip('-').split('=', 1)
else:
name, value = arg.lstrip('-'), None
if not name:
# The argument is all dashes (including one dash).
unparsed_args.append(arg)
if self.IsGnuGetOpt():
continue
else:
break
# --undefok is a special case.
if name == 'undefok':
if known_only:
unparsed_args.append(arg)
value = GetValue()
undefok.update(v.strip() for v in value.split(','))
undefok.update('no' + v.strip() for v in value.split(','))
continue
flag = flag_dict.get(name)
if flag:
value = (flag.boolean and value is None) or GetValue()
elif name.startswith('no') and len(name) > 2:
# Boolean flags can take the form of --noflag, with no value.
noflag = flag_dict.get(name[2:])
if noflag and noflag.boolean:
if value is not None:
raise ValueError(arg + ' does not take an argument')
flag = noflag
value = False
if flag:
flag.parse(value)
flag.using_default_value = False
elif known_only:
unparsed_args.append(arg)
else:
unknown_flags.append((name, arg))
unparsed_args.extend(args)
return unknown_flags, unparsed_args, undefok
<|endoftext|> | [
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lago-project/lago | lago/templates.py | TemplateStore.get_path | def get_path(self, temp_ver):
"""
Get the path of the given version in this store
Args:
temp_ver TemplateVersion: version to look for
Returns:
str: The path to the template version inside the store
Raises:
RuntimeError: if the template is not in the store
"""
if temp_ver not in self:
raise RuntimeError(
'Template: {} not present'.format(temp_ver.name)
)
return self._prefixed(temp_ver.name) | python | def get_path(self, temp_ver):
"""
Get the path of the given version in this store
Args:
temp_ver TemplateVersion: version to look for
Returns:
str: The path to the template version inside the store
Raises:
RuntimeError: if the template is not in the store
"""
if temp_ver not in self:
raise RuntimeError(
'Template: {} not present'.format(temp_ver.name)
)
return self._prefixed(temp_ver.name) | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Get the path of the given version in this store
Args:
temp_ver TemplateVersion: version to look for
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str: The path to the template version inside the store
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RuntimeError: if the template is not in the store
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Get the path of the given version in this store
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facelessuser/backrefs | tools/unipropgen.py | gen_properties | def gen_properties(output, ascii_props=False, append=False):
"""Generate the property table and dump it to the provided file."""
files = {
'gc': os.path.join(output, 'generalcategory.py'),
'blk': os.path.join(output, 'block.py'),
'sc': os.path.join(output, 'script.py'),
'bc': os.path.join(output, 'bidiclass.py'),
'binary': os.path.join(output, 'binary.py'),
'posix': os.path.join(output, 'posix.py'),
'age': os.path.join(output, 'age.py'),
'ea': os.path.join(output, 'eastasianwidth.py'),
'gcb': os.path.join(output, 'graphemeclusterbreak.py'),
'lb': os.path.join(output, 'linebreak.py'),
'sb': os.path.join(output, 'sentencebreak.py'),
'wb': os.path.join(output, 'wordbreak.py'),
'hst': os.path.join(output, 'hangulsyllabletype.py'),
'dt': os.path.join(output, 'decompositiontype.py'),
'jt': os.path.join(output, 'joiningtype.py'),
'jg': os.path.join(output, 'joininggroup.py'),
'nt': os.path.join(output, 'numerictype.py'),
'nv': os.path.join(output, 'numericvalue.py'),
'ccc': os.path.join(output, 'canonicalcombiningclass.py'),
'qc': os.path.join(output, 'quickcheck.py'),
'alias': os.path.join(output, 'alias.py')
}
files['scx'] = os.path.join(output, 'scriptextensions.py')
files['insc'] = os.path.join(output, 'indicsyllabiccategory.py')
if PY34:
files['bpt'] = os.path.join(output, 'bidipairedbrackettype.py')
if PY35:
files['inpc'] = os.path.join(output, 'indicpositionalcategory.py')
else:
files['inmc'] = os.path.join(output, 'indicmatracategory.py')
if PY37:
files['vo'] = os.path.join(output, 'verticalorientation.py')
prefix = "ascii" if ascii_props else 'unicode'
# `L&` or `Lc` won't be found in the table,
# so initialize 'c' at the start. `&` will have to be converted to 'c'
# before sending it through.
categories = [
'generalcategory', 'script', 'block',
'bidiclass', 'eastasianwidth', 'linebreak',
'hangulsyllabletype', 'wordbreak', 'sentencebreak',
'graphemeclusterbreak', 'decompositiontype', 'joiningtype',
'joininggroup', 'numerictype', 'numericvalue',
'canonicalcombiningclass', 'age'
]
categories.append('scriptextensions')
categories.append('indicsyllabiccategory')
if PY34:
categories.append('bidipairedbrackettype')
if PY35:
categories.append('indicpositionalcategory')
else:
categories.append('indicmatracategory')
if PY37:
categories.append('verticalorientation')
if ascii_props:
print('=========Ascii Tables=========')
else:
print('========Unicode Tables========')
print('Building: General Category')
max_range = ASCII_RANGE if ascii_props else UNICODE_RANGE
all_chars = ALL_ASCII if ascii_props else ALL_CHARS
table = {'l': {'c': []}}
itable = {'l': {}}
with codecs.open(os.path.join(HOME, 'unicodedata', UNIVERSION, 'UnicodeData.txt'), 'r', 'utf-8') as uf:
for line in uf:
data = line.strip().split(';')
if data:
i = int(data[0], 16)
if i > max_range[1]:
continue
p = data[2].lower()
if p[0] not in table:
table[p[0]] = {}
itable[p[0]] = {}
if p[1] not in table[p[0]]:
table[p[0]][p[1]] = []
table[p[0]][p[1]].append(i)
# Add LC which is a combo of Ll, Lu, and Lt
if p[0] == 'l' and p[1] in ('l', 'u', 't'):
table['l']['c'].append(i)
# Create inverse of each category
for k1, v1 in table.items():
inverse_category = set()
for k2, v2 in v1.items():
s = set(v2)
inverse_category |= s
itable[k1]['^'] = list(all_chars - inverse_category)
# Generate Unicode blocks
print('Building: Blocks')
gen_blocks(files['blk'], ascii_props, append, prefix)
# Generate Unicode scripts
print('Building: Scripts & Script Extensions')
gen_scripts(
'Scripts.txt', 'ScriptExtensions.txt', 'scripts', 'script_extensions', files['sc'], files['scx'],
notexplicit='zzzz', ascii_props=ascii_props, append=append, prefix=prefix
)
# Generate Unicode bidi classes
print('Building: Bidi Classes')
gen_bidi(files['bc'], ascii_props, append, prefix)
if PY34:
print('Building: Bidi Paired Bracket Type')
gen_enum(
'BidiBrackets.txt', 'bidi_paired_bracket_type', files['bpt'], notexplicit='n',
field=2, ascii_props=ascii_props, append=append, prefix=prefix
)
# Generate Unicode binary
print('Building: Binary')
binary = gen_binary(table, files['binary'], ascii_props, append, prefix)
# Generate posix table and write out to file.
print('Building: Posix')
gen_posix(files['posix'], is_bytes=ascii_props, append=append, prefix=prefix)
print('Building: Age')
gen_age(files['age'], ascii_props, append, prefix)
print('Building: East Asian Width')
gen_enum(
'EastAsianWidth.txt', 'east_asian_width', files['ea'],
notexplicit='n', ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Grapheme Cluster Break')
gen_enum(
'GraphemeBreakProperty.txt', 'grapheme_cluster_break', files['gcb'], notexplicit='other',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Line Break')
gen_enum(
'LineBreak.txt', 'line_break', files['lb'], notexplicit='unknown',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Sentence Break')
gen_enum(
'SentenceBreakProperty.txt', 'sentence_break', files['sb'], notexplicit='other',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Word Break')
gen_enum(
'WordBreakProperty.txt', 'word_break', files['wb'], notexplicit='other',
ascii_props=ascii_props, append=append, prefix=prefix
)
if PY35:
print('Building: Indic Positional Category')
gen_enum(
'IndicPositionalCategory.txt', 'indic_positional_category', files['inpc'], notexplicit='na',
ascii_props=ascii_props, append=append, prefix=prefix
)
else:
print('Building: Indic Matra Category')
gen_enum(
'IndicMatraCategory.txt', 'indic_matra_category', files['inmc'], notexplicit='na',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Indic Syllabic Category')
gen_enum(
'IndicSyllabicCategory.txt', 'indic_syllabic_category', files['insc'], notexplicit='other',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Hangul Syllable Type')
gen_enum(
'HangulSyllableType.txt', 'hangul_syllable_type', files['hst'], notexplicit='na',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Decomposition Type')
gen_enum(
'DerivedDecompositionType.txt', 'decomposition_type', files['dt'], notexplicit='none',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Joining Type')
gen_enum(
'DerivedJoiningType.txt', 'joining_type', files['jt'], notexplicit='u',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Joining Group')
gen_enum(
'DerivedJoiningGroup.txt', 'joining_group', files['jg'], notexplicit='nonjoining',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Numeric Type')
gen_enum(
'DerivedNumericType.txt', 'numeric_type', files['nt'], notexplicit='none',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Numeric Value')
gen_enum(
'DerivedNumericValues.txt', 'numeric_values', files['nv'], field=3, notexplicit='nan',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Canonical Combining Class')
gen_ccc(files['ccc'], ascii_props, append, prefix)
print('Building: NF* Quick Check')
categories.extend(gen_nf_quick_check(files['qc'], ascii_props, append, prefix))
if PY37:
print('Building: Vertical Orientation')
gen_enum(
'VerticalOrientation.txt', 'vertical_orientation', files['vo'], notexplicit='R',
ascii_props=ascii_props, append=append, prefix=prefix
)
if not ascii_props:
print('Building: Aliases')
gen_alias(categories, binary, files['alias'], ascii_props, append, prefix)
# Convert char values to string ranges.
char2range(table, is_bytes=ascii_props)
char2range(itable, is_bytes=ascii_props, invert=False)
for k1, v1 in itable.items():
table[k1]['^'] = v1['^']
with codecs.open(files['gc'], 'a' if append else 'w', 'utf-8') as f:
if not append:
f.write(HEADER)
# Write out the Unicode properties
f.write('%s_properties = {\n' % prefix)
count = len(table) - 1
i = 0
for k1, v1 in sorted(table.items()):
f.write(' "%s": {\n' % k1)
count2 = len(v1) - 1
j = 0
for k2, v2 in sorted(v1.items()):
f.write(' "%s": "%s"' % (k2, v2))
if j == count2:
f.write('\n }')
else:
f.write(',\n')
j += 1
if i == count:
f.write('\n}\n')
else:
f.write(',\n')
i += 1
if not append:
with codecs.open(os.path.join(output, '__init__.py'), 'w') as f:
f.write(HEADER)
for x in sorted(files):
f.write('from .%s import * # noqa\n' % os.path.basename(files[x])[:-3]) | python | def gen_properties(output, ascii_props=False, append=False):
"""Generate the property table and dump it to the provided file."""
files = {
'gc': os.path.join(output, 'generalcategory.py'),
'blk': os.path.join(output, 'block.py'),
'sc': os.path.join(output, 'script.py'),
'bc': os.path.join(output, 'bidiclass.py'),
'binary': os.path.join(output, 'binary.py'),
'posix': os.path.join(output, 'posix.py'),
'age': os.path.join(output, 'age.py'),
'ea': os.path.join(output, 'eastasianwidth.py'),
'gcb': os.path.join(output, 'graphemeclusterbreak.py'),
'lb': os.path.join(output, 'linebreak.py'),
'sb': os.path.join(output, 'sentencebreak.py'),
'wb': os.path.join(output, 'wordbreak.py'),
'hst': os.path.join(output, 'hangulsyllabletype.py'),
'dt': os.path.join(output, 'decompositiontype.py'),
'jt': os.path.join(output, 'joiningtype.py'),
'jg': os.path.join(output, 'joininggroup.py'),
'nt': os.path.join(output, 'numerictype.py'),
'nv': os.path.join(output, 'numericvalue.py'),
'ccc': os.path.join(output, 'canonicalcombiningclass.py'),
'qc': os.path.join(output, 'quickcheck.py'),
'alias': os.path.join(output, 'alias.py')
}
files['scx'] = os.path.join(output, 'scriptextensions.py')
files['insc'] = os.path.join(output, 'indicsyllabiccategory.py')
if PY34:
files['bpt'] = os.path.join(output, 'bidipairedbrackettype.py')
if PY35:
files['inpc'] = os.path.join(output, 'indicpositionalcategory.py')
else:
files['inmc'] = os.path.join(output, 'indicmatracategory.py')
if PY37:
files['vo'] = os.path.join(output, 'verticalorientation.py')
prefix = "ascii" if ascii_props else 'unicode'
# `L&` or `Lc` won't be found in the table,
# so initialize 'c' at the start. `&` will have to be converted to 'c'
# before sending it through.
categories = [
'generalcategory', 'script', 'block',
'bidiclass', 'eastasianwidth', 'linebreak',
'hangulsyllabletype', 'wordbreak', 'sentencebreak',
'graphemeclusterbreak', 'decompositiontype', 'joiningtype',
'joininggroup', 'numerictype', 'numericvalue',
'canonicalcombiningclass', 'age'
]
categories.append('scriptextensions')
categories.append('indicsyllabiccategory')
if PY34:
categories.append('bidipairedbrackettype')
if PY35:
categories.append('indicpositionalcategory')
else:
categories.append('indicmatracategory')
if PY37:
categories.append('verticalorientation')
if ascii_props:
print('=========Ascii Tables=========')
else:
print('========Unicode Tables========')
print('Building: General Category')
max_range = ASCII_RANGE if ascii_props else UNICODE_RANGE
all_chars = ALL_ASCII if ascii_props else ALL_CHARS
table = {'l': {'c': []}}
itable = {'l': {}}
with codecs.open(os.path.join(HOME, 'unicodedata', UNIVERSION, 'UnicodeData.txt'), 'r', 'utf-8') as uf:
for line in uf:
data = line.strip().split(';')
if data:
i = int(data[0], 16)
if i > max_range[1]:
continue
p = data[2].lower()
if p[0] not in table:
table[p[0]] = {}
itable[p[0]] = {}
if p[1] not in table[p[0]]:
table[p[0]][p[1]] = []
table[p[0]][p[1]].append(i)
# Add LC which is a combo of Ll, Lu, and Lt
if p[0] == 'l' and p[1] in ('l', 'u', 't'):
table['l']['c'].append(i)
# Create inverse of each category
for k1, v1 in table.items():
inverse_category = set()
for k2, v2 in v1.items():
s = set(v2)
inverse_category |= s
itable[k1]['^'] = list(all_chars - inverse_category)
# Generate Unicode blocks
print('Building: Blocks')
gen_blocks(files['blk'], ascii_props, append, prefix)
# Generate Unicode scripts
print('Building: Scripts & Script Extensions')
gen_scripts(
'Scripts.txt', 'ScriptExtensions.txt', 'scripts', 'script_extensions', files['sc'], files['scx'],
notexplicit='zzzz', ascii_props=ascii_props, append=append, prefix=prefix
)
# Generate Unicode bidi classes
print('Building: Bidi Classes')
gen_bidi(files['bc'], ascii_props, append, prefix)
if PY34:
print('Building: Bidi Paired Bracket Type')
gen_enum(
'BidiBrackets.txt', 'bidi_paired_bracket_type', files['bpt'], notexplicit='n',
field=2, ascii_props=ascii_props, append=append, prefix=prefix
)
# Generate Unicode binary
print('Building: Binary')
binary = gen_binary(table, files['binary'], ascii_props, append, prefix)
# Generate posix table and write out to file.
print('Building: Posix')
gen_posix(files['posix'], is_bytes=ascii_props, append=append, prefix=prefix)
print('Building: Age')
gen_age(files['age'], ascii_props, append, prefix)
print('Building: East Asian Width')
gen_enum(
'EastAsianWidth.txt', 'east_asian_width', files['ea'],
notexplicit='n', ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Grapheme Cluster Break')
gen_enum(
'GraphemeBreakProperty.txt', 'grapheme_cluster_break', files['gcb'], notexplicit='other',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Line Break')
gen_enum(
'LineBreak.txt', 'line_break', files['lb'], notexplicit='unknown',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Sentence Break')
gen_enum(
'SentenceBreakProperty.txt', 'sentence_break', files['sb'], notexplicit='other',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Word Break')
gen_enum(
'WordBreakProperty.txt', 'word_break', files['wb'], notexplicit='other',
ascii_props=ascii_props, append=append, prefix=prefix
)
if PY35:
print('Building: Indic Positional Category')
gen_enum(
'IndicPositionalCategory.txt', 'indic_positional_category', files['inpc'], notexplicit='na',
ascii_props=ascii_props, append=append, prefix=prefix
)
else:
print('Building: Indic Matra Category')
gen_enum(
'IndicMatraCategory.txt', 'indic_matra_category', files['inmc'], notexplicit='na',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Indic Syllabic Category')
gen_enum(
'IndicSyllabicCategory.txt', 'indic_syllabic_category', files['insc'], notexplicit='other',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Hangul Syllable Type')
gen_enum(
'HangulSyllableType.txt', 'hangul_syllable_type', files['hst'], notexplicit='na',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Decomposition Type')
gen_enum(
'DerivedDecompositionType.txt', 'decomposition_type', files['dt'], notexplicit='none',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Joining Type')
gen_enum(
'DerivedJoiningType.txt', 'joining_type', files['jt'], notexplicit='u',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Joining Group')
gen_enum(
'DerivedJoiningGroup.txt', 'joining_group', files['jg'], notexplicit='nonjoining',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Numeric Type')
gen_enum(
'DerivedNumericType.txt', 'numeric_type', files['nt'], notexplicit='none',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Numeric Value')
gen_enum(
'DerivedNumericValues.txt', 'numeric_values', files['nv'], field=3, notexplicit='nan',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Canonical Combining Class')
gen_ccc(files['ccc'], ascii_props, append, prefix)
print('Building: NF* Quick Check')
categories.extend(gen_nf_quick_check(files['qc'], ascii_props, append, prefix))
if PY37:
print('Building: Vertical Orientation')
gen_enum(
'VerticalOrientation.txt', 'vertical_orientation', files['vo'], notexplicit='R',
ascii_props=ascii_props, append=append, prefix=prefix
)
if not ascii_props:
print('Building: Aliases')
gen_alias(categories, binary, files['alias'], ascii_props, append, prefix)
# Convert char values to string ranges.
char2range(table, is_bytes=ascii_props)
char2range(itable, is_bytes=ascii_props, invert=False)
for k1, v1 in itable.items():
table[k1]['^'] = v1['^']
with codecs.open(files['gc'], 'a' if append else 'w', 'utf-8') as f:
if not append:
f.write(HEADER)
# Write out the Unicode properties
f.write('%s_properties = {\n' % prefix)
count = len(table) - 1
i = 0
for k1, v1 in sorted(table.items()):
f.write(' "%s": {\n' % k1)
count2 = len(v1) - 1
j = 0
for k2, v2 in sorted(v1.items()):
f.write(' "%s": "%s"' % (k2, v2))
if j == count2:
f.write('\n }')
else:
f.write(',\n')
j += 1
if i == count:
f.write('\n}\n')
else:
f.write(',\n')
i += 1
if not append:
with codecs.open(os.path.join(output, '__init__.py'), 'w') as f:
f.write(HEADER)
for x in sorted(files):
f.write('from .%s import * # noqa\n' % os.path.basename(files[x])[:-3]) | [
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"'nv'",
":",
"os",
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"path",
".",
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"(",
"output",
",",
"'numericvalue.py'",
")",
",",
"'ccc'",
":",
"os",
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"path",
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"(",
"output",
",",
"'canonicalcombiningclass.py'",
")",
",",
"'qc'",
":",
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"(",
"output",
",",
"'quickcheck.py'",
")",
",",
"'alias'",
":",
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"path",
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"(",
"output",
",",
"'alias.py'",
")",
"}",
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"[",
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"]",
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"(",
"output",
",",
"'scriptextensions.py'",
")",
"files",
"[",
"'insc'",
"]",
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"path",
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"(",
"output",
",",
"'indicsyllabiccategory.py'",
")",
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"PY34",
":",
"files",
"[",
"'bpt'",
"]",
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".",
"path",
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"(",
"output",
",",
"'bidipairedbrackettype.py'",
")",
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"PY35",
":",
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"[",
"'inpc'",
"]",
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"path",
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"(",
"output",
",",
"'indicpositionalcategory.py'",
")",
"else",
":",
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"[",
"'inmc'",
"]",
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"os",
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"path",
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"(",
"output",
",",
"'indicmatracategory.py'",
")",
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":",
"files",
"[",
"'vo'",
"]",
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"path",
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"(",
"output",
",",
"'verticalorientation.py'",
")",
"prefix",
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"ascii_props",
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"'unicode'",
"# `L&` or `Lc` won't be found in the table,",
"# so initialize 'c' at the start. `&` will have to be converted to 'c'",
"# before sending it through.",
"categories",
"=",
"[",
"'generalcategory'",
",",
"'script'",
",",
"'block'",
",",
"'bidiclass'",
",",
"'eastasianwidth'",
",",
"'linebreak'",
",",
"'hangulsyllabletype'",
",",
"'wordbreak'",
",",
"'sentencebreak'",
",",
"'graphemeclusterbreak'",
",",
"'decompositiontype'",
",",
"'joiningtype'",
",",
"'joininggroup'",
",",
"'numerictype'",
",",
"'numericvalue'",
",",
"'canonicalcombiningclass'",
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"'age'",
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"(",
"'scriptextensions'",
")",
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"(",
"'indicsyllabiccategory'",
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":",
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"(",
"'bidipairedbrackettype'",
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"(",
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":",
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"(",
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":",
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"(",
"'=========Ascii Tables========='",
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"else",
":",
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"(",
"'========Unicode Tables========'",
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"'Building: General Category'",
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"max_range",
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"UNICODE_RANGE",
"all_chars",
"=",
"ALL_ASCII",
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":",
"{",
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":",
"[",
"]",
"}",
"}",
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":",
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"}",
"}",
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",",
"'unicodedata'",
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"UNIVERSION",
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")",
",",
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",",
"'utf-8'",
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")",
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":",
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"[",
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"]",
",",
"16",
")",
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"]",
":",
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"]",
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"[",
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"[",
"0",
"]",
"]",
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"}",
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"[",
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"]",
"]",
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"[",
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"[",
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"]",
":",
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"[",
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"]",
"]",
"[",
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"]",
"]",
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"[",
"]",
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"[",
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"[",
"0",
"]",
"]",
"[",
"p",
"[",
"1",
"]",
"]",
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"(",
"i",
")",
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"[",
"0",
"]",
"==",
"'l'",
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"[",
"1",
"]",
"in",
"(",
"'l'",
",",
"'u'",
",",
"'t'",
")",
":",
"table",
"[",
"'l'",
"]",
"[",
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"]",
".",
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"(",
"i",
")",
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",",
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"table",
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"(",
")",
":",
"inverse_category",
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"(",
")",
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",",
"v2",
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")",
":",
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"(",
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"]",
"[",
"'^'",
"]",
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"(",
"all_chars",
"-",
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"(",
"'Building: Blocks'",
")",
"gen_blocks",
"(",
"files",
"[",
"'blk'",
"]",
",",
"ascii_props",
",",
"append",
",",
"prefix",
")",
"# Generate Unicode scripts",
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"(",
"'Building: Scripts & Script Extensions'",
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"'Scripts.txt'",
",",
"'ScriptExtensions.txt'",
",",
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",",
"'script_extensions'",
",",
"files",
"[",
"'sc'",
"]",
",",
"files",
"[",
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"]",
",",
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"=",
"'zzzz'",
",",
"ascii_props",
"=",
"ascii_props",
",",
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"=",
"append",
",",
"prefix",
"=",
"prefix",
")",
"# Generate Unicode bidi classes",
"print",
"(",
"'Building: Bidi Classes'",
")",
"gen_bidi",
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"files",
"[",
"'bc'",
"]",
",",
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",",
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":",
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"(",
"'Building: Bidi Paired Bracket Type'",
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"gen_enum",
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",",
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",",
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"[",
"'bpt'",
"]",
",",
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",",
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",",
"ascii_props",
"=",
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",",
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"=",
"append",
",",
"prefix",
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"prefix",
")",
"# Generate Unicode binary",
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"(",
"'Building: Binary'",
")",
"binary",
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"(",
"table",
",",
"files",
"[",
"'binary'",
"]",
",",
"ascii_props",
",",
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",",
"prefix",
")",
"# Generate posix table and write out to file.",
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"(",
"'Building: Posix'",
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"files",
"[",
"'posix'",
"]",
",",
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",",
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"=",
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",",
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"(",
"'Building: Age'",
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"(",
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"[",
"'age'",
"]",
",",
"ascii_props",
",",
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",",
"prefix",
")",
"print",
"(",
"'Building: East Asian Width'",
")",
"gen_enum",
"(",
"'EastAsianWidth.txt'",
",",
"'east_asian_width'",
",",
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"[",
"'ea'",
"]",
",",
"notexplicit",
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"'n'",
",",
"ascii_props",
"=",
"ascii_props",
",",
"append",
"=",
"append",
",",
"prefix",
"=",
"prefix",
")",
"print",
"(",
"'Building: Grapheme Cluster Break'",
")",
"gen_enum",
"(",
"'GraphemeBreakProperty.txt'",
",",
"'grapheme_cluster_break'",
",",
"files",
"[",
"'gcb'",
"]",
",",
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",",
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"append",
",",
"prefix",
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"print",
"(",
"'Building: Line Break'",
")",
"gen_enum",
"(",
"'LineBreak.txt'",
",",
"'line_break'",
",",
"files",
"[",
"'lb'",
"]",
",",
"notexplicit",
"=",
"'unknown'",
",",
"ascii_props",
"=",
"ascii_props",
",",
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"append",
",",
"prefix",
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"prefix",
")",
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"(",
"'Building: Sentence Break'",
")",
"gen_enum",
"(",
"'SentenceBreakProperty.txt'",
",",
"'sentence_break'",
",",
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"[",
"'sb'",
"]",
",",
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",",
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"(",
"'Building: Word Break'",
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"(",
"'WordBreakProperty.txt'",
",",
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"[",
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",",
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":",
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"(",
"'Building: Indic Positional Category'",
")",
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"(",
"'IndicPositionalCategory.txt'",
",",
"'indic_positional_category'",
",",
"files",
"[",
"'inpc'",
"]",
",",
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",",
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":",
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"(",
"'Building: Indic Matra Category'",
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"(",
"'IndicMatraCategory.txt'",
",",
"'indic_matra_category'",
",",
"files",
"[",
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"]",
",",
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",",
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"(",
"'Building: Indic Syllabic Category'",
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"gen_enum",
"(",
"'IndicSyllabicCategory.txt'",
",",
"'indic_syllabic_category'",
",",
"files",
"[",
"'insc'",
"]",
",",
"notexplicit",
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"'other'",
",",
"ascii_props",
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"ascii_props",
",",
"append",
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"append",
",",
"prefix",
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"prefix",
")",
"print",
"(",
"'Building: Hangul Syllable Type'",
")",
"gen_enum",
"(",
"'HangulSyllableType.txt'",
",",
"'hangul_syllable_type'",
",",
"files",
"[",
"'hst'",
"]",
",",
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"'na'",
",",
"ascii_props",
"=",
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",",
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",",
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"prefix",
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"(",
"'Building: Decomposition Type'",
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"gen_enum",
"(",
"'DerivedDecompositionType.txt'",
",",
"'decomposition_type'",
",",
"files",
"[",
"'dt'",
"]",
",",
"notexplicit",
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"'none'",
",",
"ascii_props",
"=",
"ascii_props",
",",
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"append",
",",
"prefix",
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"prefix",
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"print",
"(",
"'Building: Joining Type'",
")",
"gen_enum",
"(",
"'DerivedJoiningType.txt'",
",",
"'joining_type'",
",",
"files",
"[",
"'jt'",
"]",
",",
"notexplicit",
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"'u'",
",",
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"(",
"'Building: Joining Group'",
")",
"gen_enum",
"(",
"'DerivedJoiningGroup.txt'",
",",
"'joining_group'",
",",
"files",
"[",
"'jg'",
"]",
",",
"notexplicit",
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",",
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",",
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"(",
"'Building: Numeric Type'",
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"gen_enum",
"(",
"'DerivedNumericType.txt'",
",",
"'numeric_type'",
",",
"files",
"[",
"'nt'",
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",",
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"'Building: Numeric Value'",
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"gen_enum",
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",",
"'numeric_values'",
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",",
"field",
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"3",
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"prefix",
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"print",
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"'Building: Canonical Combining Class'",
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"gen_ccc",
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"files",
"[",
"'ccc'",
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",",
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",",
"append",
",",
"prefix",
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"print",
"(",
"'Building: NF* Quick Check'",
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"(",
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"(",
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"[",
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",",
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",",
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",",
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] | Generate the property table and dump it to the provided file. | [
"Generate",
"the",
"property",
"table",
"and",
"dump",
"it",
"to",
"the",
"provided",
"file",
"."
] | train | https://github.com/facelessuser/backrefs/blob/3b3d60f5d57b02044f880aa29c9c5add0e31a34f/tools/unipropgen.py#L948-L1212 | <|startoftext|>
### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Generate the property table and dump it to the provided file.
### Response:
def gen_properties(output, ascii_props=False, append=False):
"""Generate the property table and dump it to the provided file."""
files = {
'gc': os.path.join(output, 'generalcategory.py'),
'blk': os.path.join(output, 'block.py'),
'sc': os.path.join(output, 'script.py'),
'bc': os.path.join(output, 'bidiclass.py'),
'binary': os.path.join(output, 'binary.py'),
'posix': os.path.join(output, 'posix.py'),
'age': os.path.join(output, 'age.py'),
'ea': os.path.join(output, 'eastasianwidth.py'),
'gcb': os.path.join(output, 'graphemeclusterbreak.py'),
'lb': os.path.join(output, 'linebreak.py'),
'sb': os.path.join(output, 'sentencebreak.py'),
'wb': os.path.join(output, 'wordbreak.py'),
'hst': os.path.join(output, 'hangulsyllabletype.py'),
'dt': os.path.join(output, 'decompositiontype.py'),
'jt': os.path.join(output, 'joiningtype.py'),
'jg': os.path.join(output, 'joininggroup.py'),
'nt': os.path.join(output, 'numerictype.py'),
'nv': os.path.join(output, 'numericvalue.py'),
'ccc': os.path.join(output, 'canonicalcombiningclass.py'),
'qc': os.path.join(output, 'quickcheck.py'),
'alias': os.path.join(output, 'alias.py')
}
files['scx'] = os.path.join(output, 'scriptextensions.py')
files['insc'] = os.path.join(output, 'indicsyllabiccategory.py')
if PY34:
files['bpt'] = os.path.join(output, 'bidipairedbrackettype.py')
if PY35:
files['inpc'] = os.path.join(output, 'indicpositionalcategory.py')
else:
files['inmc'] = os.path.join(output, 'indicmatracategory.py')
if PY37:
files['vo'] = os.path.join(output, 'verticalorientation.py')
prefix = "ascii" if ascii_props else 'unicode'
# `L&` or `Lc` won't be found in the table,
# so initialize 'c' at the start. `&` will have to be converted to 'c'
# before sending it through.
categories = [
'generalcategory', 'script', 'block',
'bidiclass', 'eastasianwidth', 'linebreak',
'hangulsyllabletype', 'wordbreak', 'sentencebreak',
'graphemeclusterbreak', 'decompositiontype', 'joiningtype',
'joininggroup', 'numerictype', 'numericvalue',
'canonicalcombiningclass', 'age'
]
categories.append('scriptextensions')
categories.append('indicsyllabiccategory')
if PY34:
categories.append('bidipairedbrackettype')
if PY35:
categories.append('indicpositionalcategory')
else:
categories.append('indicmatracategory')
if PY37:
categories.append('verticalorientation')
if ascii_props:
print('=========Ascii Tables=========')
else:
print('========Unicode Tables========')
print('Building: General Category')
max_range = ASCII_RANGE if ascii_props else UNICODE_RANGE
all_chars = ALL_ASCII if ascii_props else ALL_CHARS
table = {'l': {'c': []}}
itable = {'l': {}}
with codecs.open(os.path.join(HOME, 'unicodedata', UNIVERSION, 'UnicodeData.txt'), 'r', 'utf-8') as uf:
for line in uf:
data = line.strip().split(';')
if data:
i = int(data[0], 16)
if i > max_range[1]:
continue
p = data[2].lower()
if p[0] not in table:
table[p[0]] = {}
itable[p[0]] = {}
if p[1] not in table[p[0]]:
table[p[0]][p[1]] = []
table[p[0]][p[1]].append(i)
# Add LC which is a combo of Ll, Lu, and Lt
if p[0] == 'l' and p[1] in ('l', 'u', 't'):
table['l']['c'].append(i)
# Create inverse of each category
for k1, v1 in table.items():
inverse_category = set()
for k2, v2 in v1.items():
s = set(v2)
inverse_category |= s
itable[k1]['^'] = list(all_chars - inverse_category)
# Generate Unicode blocks
print('Building: Blocks')
gen_blocks(files['blk'], ascii_props, append, prefix)
# Generate Unicode scripts
print('Building: Scripts & Script Extensions')
gen_scripts(
'Scripts.txt', 'ScriptExtensions.txt', 'scripts', 'script_extensions', files['sc'], files['scx'],
notexplicit='zzzz', ascii_props=ascii_props, append=append, prefix=prefix
)
# Generate Unicode bidi classes
print('Building: Bidi Classes')
gen_bidi(files['bc'], ascii_props, append, prefix)
if PY34:
print('Building: Bidi Paired Bracket Type')
gen_enum(
'BidiBrackets.txt', 'bidi_paired_bracket_type', files['bpt'], notexplicit='n',
field=2, ascii_props=ascii_props, append=append, prefix=prefix
)
# Generate Unicode binary
print('Building: Binary')
binary = gen_binary(table, files['binary'], ascii_props, append, prefix)
# Generate posix table and write out to file.
print('Building: Posix')
gen_posix(files['posix'], is_bytes=ascii_props, append=append, prefix=prefix)
print('Building: Age')
gen_age(files['age'], ascii_props, append, prefix)
print('Building: East Asian Width')
gen_enum(
'EastAsianWidth.txt', 'east_asian_width', files['ea'],
notexplicit='n', ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Grapheme Cluster Break')
gen_enum(
'GraphemeBreakProperty.txt', 'grapheme_cluster_break', files['gcb'], notexplicit='other',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Line Break')
gen_enum(
'LineBreak.txt', 'line_break', files['lb'], notexplicit='unknown',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Sentence Break')
gen_enum(
'SentenceBreakProperty.txt', 'sentence_break', files['sb'], notexplicit='other',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Word Break')
gen_enum(
'WordBreakProperty.txt', 'word_break', files['wb'], notexplicit='other',
ascii_props=ascii_props, append=append, prefix=prefix
)
if PY35:
print('Building: Indic Positional Category')
gen_enum(
'IndicPositionalCategory.txt', 'indic_positional_category', files['inpc'], notexplicit='na',
ascii_props=ascii_props, append=append, prefix=prefix
)
else:
print('Building: Indic Matra Category')
gen_enum(
'IndicMatraCategory.txt', 'indic_matra_category', files['inmc'], notexplicit='na',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Indic Syllabic Category')
gen_enum(
'IndicSyllabicCategory.txt', 'indic_syllabic_category', files['insc'], notexplicit='other',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Hangul Syllable Type')
gen_enum(
'HangulSyllableType.txt', 'hangul_syllable_type', files['hst'], notexplicit='na',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Decomposition Type')
gen_enum(
'DerivedDecompositionType.txt', 'decomposition_type', files['dt'], notexplicit='none',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Joining Type')
gen_enum(
'DerivedJoiningType.txt', 'joining_type', files['jt'], notexplicit='u',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Joining Group')
gen_enum(
'DerivedJoiningGroup.txt', 'joining_group', files['jg'], notexplicit='nonjoining',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Numeric Type')
gen_enum(
'DerivedNumericType.txt', 'numeric_type', files['nt'], notexplicit='none',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Numeric Value')
gen_enum(
'DerivedNumericValues.txt', 'numeric_values', files['nv'], field=3, notexplicit='nan',
ascii_props=ascii_props, append=append, prefix=prefix
)
print('Building: Canonical Combining Class')
gen_ccc(files['ccc'], ascii_props, append, prefix)
print('Building: NF* Quick Check')
categories.extend(gen_nf_quick_check(files['qc'], ascii_props, append, prefix))
if PY37:
print('Building: Vertical Orientation')
gen_enum(
'VerticalOrientation.txt', 'vertical_orientation', files['vo'], notexplicit='R',
ascii_props=ascii_props, append=append, prefix=prefix
)
if not ascii_props:
print('Building: Aliases')
gen_alias(categories, binary, files['alias'], ascii_props, append, prefix)
# Convert char values to string ranges.
char2range(table, is_bytes=ascii_props)
char2range(itable, is_bytes=ascii_props, invert=False)
for k1, v1 in itable.items():
table[k1]['^'] = v1['^']
with codecs.open(files['gc'], 'a' if append else 'w', 'utf-8') as f:
if not append:
f.write(HEADER)
# Write out the Unicode properties
f.write('%s_properties = {\n' % prefix)
count = len(table) - 1
i = 0
for k1, v1 in sorted(table.items()):
f.write(' "%s": {\n' % k1)
count2 = len(v1) - 1
j = 0
for k2, v2 in sorted(v1.items()):
f.write(' "%s": "%s"' % (k2, v2))
if j == count2:
f.write('\n }')
else:
f.write(',\n')
j += 1
if i == count:
f.write('\n}\n')
else:
f.write(',\n')
i += 1
if not append:
with codecs.open(os.path.join(output, '__init__.py'), 'w') as f:
f.write(HEADER)
for x in sorted(files):
f.write('from .%s import * # noqa\n' % os.path.basename(files[x])[:-3])
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basho/riak-python-client | riak/client/multi.py | multiput | def multiput(client, objs, **options):
"""Executes a parallel-store across multiple threads. Returns a list
containing booleans or :class:`~riak.riak_object.RiakObject`
If a ``pool`` option is included, the request will use the given worker
pool and not a transient :class:`~riak.client.multi.MultiPutPool`. This
option will be passed by the client if the ``multiput_pool_size``
option was set on client initialization.
:param client: the client to use
:type client: :class:`RiakClient <riak.client.RiakClient>`
:param objs: the objects to store in parallel
:type objs: list of `RiakObject <riak.riak_object.RiakObject>` or
`TsObject <riak.ts_object.TsObject>`
:param options: request options to
:meth:`RiakClient.put <riak.client.RiakClient.put>`
:type options: dict
:rtype: list
"""
transient_pool = False
outq = Queue()
if 'pool' in options:
pool = options['pool']
del options['pool']
else:
pool = MultiPutPool()
transient_pool = True
try:
pool.start()
for obj in objs:
task = PutTask(client, outq, obj, options)
pool.enq(task)
results = []
for _ in range(len(objs)):
if pool.stopped():
raise RuntimeError(
'Multi-put operation interrupted by pool '
'stopping!')
results.append(outq.get())
outq.task_done()
finally:
if transient_pool:
pool.stop()
return results | python | def multiput(client, objs, **options):
"""Executes a parallel-store across multiple threads. Returns a list
containing booleans or :class:`~riak.riak_object.RiakObject`
If a ``pool`` option is included, the request will use the given worker
pool and not a transient :class:`~riak.client.multi.MultiPutPool`. This
option will be passed by the client if the ``multiput_pool_size``
option was set on client initialization.
:param client: the client to use
:type client: :class:`RiakClient <riak.client.RiakClient>`
:param objs: the objects to store in parallel
:type objs: list of `RiakObject <riak.riak_object.RiakObject>` or
`TsObject <riak.ts_object.TsObject>`
:param options: request options to
:meth:`RiakClient.put <riak.client.RiakClient.put>`
:type options: dict
:rtype: list
"""
transient_pool = False
outq = Queue()
if 'pool' in options:
pool = options['pool']
del options['pool']
else:
pool = MultiPutPool()
transient_pool = True
try:
pool.start()
for obj in objs:
task = PutTask(client, outq, obj, options)
pool.enq(task)
results = []
for _ in range(len(objs)):
if pool.stopped():
raise RuntimeError(
'Multi-put operation interrupted by pool '
'stopping!')
results.append(outq.get())
outq.task_done()
finally:
if transient_pool:
pool.stop()
return results | [
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containing booleans or :class:`~riak.riak_object.RiakObject`
If a ``pool`` option is included, the request will use the given worker
pool and not a transient :class:`~riak.client.multi.MultiPutPool`. This
option will be passed by the client if the ``multiput_pool_size``
option was set on client initialization.
:param client: the client to use
:type client: :class:`RiakClient <riak.client.RiakClient>`
:param objs: the objects to store in parallel
:type objs: list of `RiakObject <riak.riak_object.RiakObject>` or
`TsObject <riak.ts_object.TsObject>`
:param options: request options to
:meth:`RiakClient.put <riak.client.RiakClient.put>`
:type options: dict
:rtype: list | [
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] | train | https://github.com/basho/riak-python-client/blob/91de13a16607cdf553d1a194e762734e3bec4231/riak/client/multi.py#L277-L324 | <|startoftext|>
### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Executes a parallel-store across multiple threads. Returns a list
containing booleans or :class:`~riak.riak_object.RiakObject`
If a ``pool`` option is included, the request will use the given worker
pool and not a transient :class:`~riak.client.multi.MultiPutPool`. This
option will be passed by the client if the ``multiput_pool_size``
option was set on client initialization.
:param client: the client to use
:type client: :class:`RiakClient <riak.client.RiakClient>`
:param objs: the objects to store in parallel
:type objs: list of `RiakObject <riak.riak_object.RiakObject>` or
`TsObject <riak.ts_object.TsObject>`
:param options: request options to
:meth:`RiakClient.put <riak.client.RiakClient.put>`
:type options: dict
:rtype: list
### Response:
def multiput(client, objs, **options):
"""Executes a parallel-store across multiple threads. Returns a list
containing booleans or :class:`~riak.riak_object.RiakObject`
If a ``pool`` option is included, the request will use the given worker
pool and not a transient :class:`~riak.client.multi.MultiPutPool`. This
option will be passed by the client if the ``multiput_pool_size``
option was set on client initialization.
:param client: the client to use
:type client: :class:`RiakClient <riak.client.RiakClient>`
:param objs: the objects to store in parallel
:type objs: list of `RiakObject <riak.riak_object.RiakObject>` or
`TsObject <riak.ts_object.TsObject>`
:param options: request options to
:meth:`RiakClient.put <riak.client.RiakClient.put>`
:type options: dict
:rtype: list
"""
transient_pool = False
outq = Queue()
if 'pool' in options:
pool = options['pool']
del options['pool']
else:
pool = MultiPutPool()
transient_pool = True
try:
pool.start()
for obj in objs:
task = PutTask(client, outq, obj, options)
pool.enq(task)
results = []
for _ in range(len(objs)):
if pool.stopped():
raise RuntimeError(
'Multi-put operation interrupted by pool '
'stopping!')
results.append(outq.get())
outq.task_done()
finally:
if transient_pool:
pool.stop()
return results
<|endoftext|> | [
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PythonCharmers/python-future | src/future/backports/http/cookies.py | BaseCookie.js_output | def js_output(self, attrs=None):
"""Return a string suitable for JavaScript."""
result = []
items = sorted(self.items())
for key, value in items:
result.append(value.js_output(attrs))
return _nulljoin(result) | python | def js_output(self, attrs=None):
"""Return a string suitable for JavaScript."""
result = []
items = sorted(self.items())
for key, value in items:
result.append(value.js_output(attrs))
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You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Return a string suitable for JavaScript.
### Response:
def js_output(self, attrs=None):
"""Return a string suitable for JavaScript."""
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"""Create a string identifier for the Exclude key.
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ZELLMECHANIK-DRESDEN/dclab | dclab/rtdc_dataset/fmt_hdf5.py | RTDC_HDF5.parse_config | def parse_config(h5path):
"""Parse the RT-DC configuration of an hdf5 file"""
with h5py.File(h5path, mode="r") as fh5:
h5attrs = dict(fh5.attrs)
# Convert byte strings to unicode strings
# https://github.com/h5py/h5py/issues/379
for key in h5attrs:
if isinstance(h5attrs[key], bytes):
h5attrs[key] = h5attrs[key].decode("utf-8")
config = Configuration()
for key in h5attrs:
section, pname = key.split(":")
if pname not in dfn.config_funcs[section]:
# Add the value as a string but issue a warning
config[section][pname] = h5attrs[key]
msg = "Unknown key '{}' in section [{}]!".format(
pname, section)
warnings.warn(msg, UnknownKeyWarning)
else:
typ = dfn.config_funcs[section][pname]
config[section][pname] = typ(h5attrs[key])
return config | python | def parse_config(h5path):
"""Parse the RT-DC configuration of an hdf5 file"""
with h5py.File(h5path, mode="r") as fh5:
h5attrs = dict(fh5.attrs)
# Convert byte strings to unicode strings
# https://github.com/h5py/h5py/issues/379
for key in h5attrs:
if isinstance(h5attrs[key], bytes):
h5attrs[key] = h5attrs[key].decode("utf-8")
config = Configuration()
for key in h5attrs:
section, pname = key.split(":")
if pname not in dfn.config_funcs[section]:
# Add the value as a string but issue a warning
config[section][pname] = h5attrs[key]
msg = "Unknown key '{}' in section [{}]!".format(
pname, section)
warnings.warn(msg, UnknownKeyWarning)
else:
typ = dfn.config_funcs[section][pname]
config[section][pname] = typ(h5attrs[key])
return config | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Parse the RT-DC configuration of an hdf5 file
### Response:
def parse_config(h5path):
"""Parse the RT-DC configuration of an hdf5 file"""
with h5py.File(h5path, mode="r") as fh5:
h5attrs = dict(fh5.attrs)
# Convert byte strings to unicode strings
# https://github.com/h5py/h5py/issues/379
for key in h5attrs:
if isinstance(h5attrs[key], bytes):
h5attrs[key] = h5attrs[key].decode("utf-8")
config = Configuration()
for key in h5attrs:
section, pname = key.split(":")
if pname not in dfn.config_funcs[section]:
# Add the value as a string but issue a warning
config[section][pname] = h5attrs[key]
msg = "Unknown key '{}' in section [{}]!".format(
pname, section)
warnings.warn(msg, UnknownKeyWarning)
else:
typ = dfn.config_funcs[section][pname]
config[section][pname] = typ(h5attrs[key])
return config
<|endoftext|> | [
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joshua-stone/DerPyBooru | derpibooru/search.py | Search.watched | def watched(self, option):
"""
Set whether to filter by a user's watchlist. Options available are
user.ONLY, user.NOT, and None; default is None.
"""
params = join_params(self.parameters, {"watched": option})
return self.__class__(**params) | python | def watched(self, option):
"""
Set whether to filter by a user's watchlist. Options available are
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brutus/wdiffhtml | wdiffhtml/__init__.py | wdiff | def wdiff(
settings, wrap_with_html=False, fold_breaks=False, hard_breaks=False
):
"""
Returns the results of `wdiff` in a HTML compatible format.
Needs a :cls:`settings.Settings` object.
If *wrap_with_html* is set, the *diff* is returned in a full HTML document
structure.
If *fold_breaks* is set, `<ins>` and `<del>` tags are allowed to span line
breaks
If *hard_breaks* is set, line breaks are replaced with `<br />` tags.
"""
diff = generate_wdiff(settings.org_file, settings.new_file, fold_breaks)
if wrap_with_html:
return wrap_content(diff, settings, hard_breaks)
else:
return diff | python | def wdiff(
settings, wrap_with_html=False, fold_breaks=False, hard_breaks=False
):
"""
Returns the results of `wdiff` in a HTML compatible format.
Needs a :cls:`settings.Settings` object.
If *wrap_with_html* is set, the *diff* is returned in a full HTML document
structure.
If *fold_breaks* is set, `<ins>` and `<del>` tags are allowed to span line
breaks
If *hard_breaks* is set, line breaks are replaced with `<br />` tags.
"""
diff = generate_wdiff(settings.org_file, settings.new_file, fold_breaks)
if wrap_with_html:
return wrap_content(diff, settings, hard_breaks)
else:
return diff | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Returns the results of `wdiff` in a HTML compatible format.
Needs a :cls:`settings.Settings` object.
If *wrap_with_html* is set, the *diff* is returned in a full HTML document
structure.
If *fold_breaks* is set, `<ins>` and `<del>` tags are allowed to span line
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def wdiff(
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):
"""
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If *hard_breaks* is set, line breaks are replaced with `<br />` tags.
"""
diff = generate_wdiff(settings.org_file, settings.new_file, fold_breaks)
if wrap_with_html:
return wrap_content(diff, settings, hard_breaks)
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ngmarchant/oasis | oasis/input_verification.py | verify_identifiers | def verify_identifiers(identifiers, n_items):
"""Ensure that identifiers has a compatible length and that its elements
are unique"""
if identifiers is None:
return identifiers
identifiers = np.array(identifiers, copy=False)
# Check length for consistency
if len(identifiers) != n_items:
raise ValueError("identifiers has inconsistent dimension.")
# Check that identifiers are unique
if len(np.unique(identifiers)) != n_items:
raise ValueError("identifiers contains duplicate values.")
return identifiers | python | def verify_identifiers(identifiers, n_items):
"""Ensure that identifiers has a compatible length and that its elements
are unique"""
if identifiers is None:
return identifiers
identifiers = np.array(identifiers, copy=False)
# Check length for consistency
if len(identifiers) != n_items:
raise ValueError("identifiers has inconsistent dimension.")
# Check that identifiers are unique
if len(np.unique(identifiers)) != n_items:
raise ValueError("identifiers contains duplicate values.")
return identifiers | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Ensure that identifiers has a compatible length and that its elements
are unique
### Response:
def verify_identifiers(identifiers, n_items):
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zetaops/zengine | zengine/messaging/views.py | search_unit | def search_unit(current):
"""
Search on units for subscribing it's users to a channel
.. code-block:: python
# request:
{
'view':'_zops_search_unit',
'query': string,
}
# response:
{
'results': [('name', 'key'), ],
'status': 'OK',
'code': 200
}
"""
current.output = {
'results': [],
'status': 'OK',
'code': 201
}
for user in UnitModel(current).objects.search_on(*settings.MESSAGING_UNIT_SEARCH_FIELDS,
contains=current.input['query']):
current.output['results'].append((user.name, user.key)) | python | def search_unit(current):
"""
Search on units for subscribing it's users to a channel
.. code-block:: python
# request:
{
'view':'_zops_search_unit',
'query': string,
}
# response:
{
'results': [('name', 'key'), ],
'status': 'OK',
'code': 200
}
"""
current.output = {
'results': [],
'status': 'OK',
'code': 201
}
for user in UnitModel(current).objects.search_on(*settings.MESSAGING_UNIT_SEARCH_FIELDS,
contains=current.input['query']):
current.output['results'].append((user.name, user.key)) | [
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'query': string,
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Search on units for subscribing it's users to a channel
.. code-block:: python
# request:
{
'view':'_zops_search_unit',
'query': string,
}
# response:
{
'results': [('name', 'key'), ],
'status': 'OK',
'code': 200
}
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Search on units for subscribing it's users to a channel
.. code-block:: python
# request:
{
'view':'_zops_search_unit',
'query': string,
}
# response:
{
'results': [('name', 'key'), ],
'status': 'OK',
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python-odin/odinweb | odinweb/containers.py | ApiContainer.operation | def operation(self, path, methods=Method.GET, resource=None, tags=None, summary=None, middleware=None):
# type: (UrlPath, Union[Method, Tuple[Method]], Type[Resource], Tags, str, list) -> Operation
"""
:param path: A sub path that can be used as a action.
:param methods: HTTP method(s) this function responses to.
:param resource: Specify the resource that this function encodes/decodes,
default is the one specified on the ResourceAPI instance.
:param tags: Tags to be applied to operation
:param summary: Summary of the what method does (for documentation)
:param middleware: List of additional middleware
"""
def inner(callback):
operation = Operation(callback, path, methods, resource, tags, summary, middleware)
self.containers.append(operation)
return operation
return inner | python | def operation(self, path, methods=Method.GET, resource=None, tags=None, summary=None, middleware=None):
# type: (UrlPath, Union[Method, Tuple[Method]], Type[Resource], Tags, str, list) -> Operation
"""
:param path: A sub path that can be used as a action.
:param methods: HTTP method(s) this function responses to.
:param resource: Specify the resource that this function encodes/decodes,
default is the one specified on the ResourceAPI instance.
:param tags: Tags to be applied to operation
:param summary: Summary of the what method does (for documentation)
:param middleware: List of additional middleware
"""
def inner(callback):
operation = Operation(callback, path, methods, resource, tags, summary, middleware)
self.containers.append(operation)
return operation
return inner | [
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:param tags: Tags to be applied to operation
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
:param path: A sub path that can be used as a action.
:param methods: HTTP method(s) this function responses to.
:param resource: Specify the resource that this function encodes/decodes,
default is the one specified on the ResourceAPI instance.
:param tags: Tags to be applied to operation
:param summary: Summary of the what method does (for documentation)
:param middleware: List of additional middleware
### Response:
def operation(self, path, methods=Method.GET, resource=None, tags=None, summary=None, middleware=None):
# type: (UrlPath, Union[Method, Tuple[Method]], Type[Resource], Tags, str, list) -> Operation
"""
:param path: A sub path that can be used as a action.
:param methods: HTTP method(s) this function responses to.
:param resource: Specify the resource that this function encodes/decodes,
default is the one specified on the ResourceAPI instance.
:param tags: Tags to be applied to operation
:param summary: Summary of the what method does (for documentation)
:param middleware: List of additional middleware
"""
def inner(callback):
operation = Operation(callback, path, methods, resource, tags, summary, middleware)
self.containers.append(operation)
return operation
return inner
<|endoftext|> | [
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google/grr | grr/server/grr_response_server/export.py | ArtifactFilesDownloaderResultConverter.GetExportedResult | def GetExportedResult(self,
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converter,
metadata=None,
token=None):
"""Converts original result via given converter.."""
exported_results = list(
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if len(exported_results) > 1:
raise ExportError("Got > 1 exported results when a single "
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return exported_results[0] | python | def GetExportedResult(self,
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token=None):
"""Converts original result via given converter.."""
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raise ExportError("Got 0 exported result when a single one "
"was expected.")
if len(exported_results) > 1:
raise ExportError("Got > 1 exported results when a single "
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return exported_results[0] | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Converts original result via given converter..
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<|endoftext|> | [
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merll/docker-fabric | dockerfabric/cli.py | copy_resources | def copy_resources(src_container, src_resources, storage_dir, dst_directories=None, apply_chown=None, apply_chmod=None):
"""
Copies files and directories from a Docker container. Multiple resources can be copied and additional options are
available than in :func:`copy_resource`. Unlike in :func:`copy_resource`, Resources are copied as they are and not
compressed to a tarball, and they are left on the remote machine.
:param src_container: Container name or id.
:type src_container: unicode
:param src_resources: Resources, as (file or directory) names to copy.
:type src_resources: iterable
:param storage_dir: Remote directory to store the copied objects in.
:type storage_dir: unicode
:param dst_directories: Optional dictionary of destination directories, in the format ``resource: destination``. If
not set, resources will be in the same relative structure to one another as inside the container. For setting a
common default, use ``*`` as the resource key.
:type dst_directories: dict
:param apply_chown: Owner to set for the copied resources. Can be a user name or id, group name or id, both in the
notation ``user:group``, or as a tuple ``(user, group)``.
:type apply_chown: unicode or tuple
:param apply_chmod: File system permissions to set for the copied resources. Can be any notation as accepted by
`chmod`.
:type apply_chmod: unicode
"""
def _copy_resource(resource):
default_dest_path = generic_path if generic_path is not None else resource
dest_path = directories.get(resource, default_dest_path).strip(posixpath.sep)
head, tail = posixpath.split(dest_path)
rel_path = posixpath.join(storage_dir, head)
run(mkdir(rel_path, check_if_exists=True))
run('docker cp {0}:{1} {2}'.format(src_container, resource, rel_path), shell=False)
directories = dst_directories or {}
generic_path = directories.get('*')
for res in src_resources:
_copy_resource(res)
if apply_chmod:
run(chmod(apply_chmod, storage_dir))
if apply_chown:
sudo(chown(apply_chown, storage_dir)) | python | def copy_resources(src_container, src_resources, storage_dir, dst_directories=None, apply_chown=None, apply_chmod=None):
"""
Copies files and directories from a Docker container. Multiple resources can be copied and additional options are
available than in :func:`copy_resource`. Unlike in :func:`copy_resource`, Resources are copied as they are and not
compressed to a tarball, and they are left on the remote machine.
:param src_container: Container name or id.
:type src_container: unicode
:param src_resources: Resources, as (file or directory) names to copy.
:type src_resources: iterable
:param storage_dir: Remote directory to store the copied objects in.
:type storage_dir: unicode
:param dst_directories: Optional dictionary of destination directories, in the format ``resource: destination``. If
not set, resources will be in the same relative structure to one another as inside the container. For setting a
common default, use ``*`` as the resource key.
:type dst_directories: dict
:param apply_chown: Owner to set for the copied resources. Can be a user name or id, group name or id, both in the
notation ``user:group``, or as a tuple ``(user, group)``.
:type apply_chown: unicode or tuple
:param apply_chmod: File system permissions to set for the copied resources. Can be any notation as accepted by
`chmod`.
:type apply_chmod: unicode
"""
def _copy_resource(resource):
default_dest_path = generic_path if generic_path is not None else resource
dest_path = directories.get(resource, default_dest_path).strip(posixpath.sep)
head, tail = posixpath.split(dest_path)
rel_path = posixpath.join(storage_dir, head)
run(mkdir(rel_path, check_if_exists=True))
run('docker cp {0}:{1} {2}'.format(src_container, resource, rel_path), shell=False)
directories = dst_directories or {}
generic_path = directories.get('*')
for res in src_resources:
_copy_resource(res)
if apply_chmod:
run(chmod(apply_chmod, storage_dir))
if apply_chown:
sudo(chown(apply_chown, storage_dir)) | [
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:type src_container: unicode
:param src_resources: Resources, as (file or directory) names to copy.
:type src_resources: iterable
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:type storage_dir: unicode
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Copies files and directories from a Docker container. Multiple resources can be copied and additional options are
available than in :func:`copy_resource`. Unlike in :func:`copy_resource`, Resources are copied as they are and not
compressed to a tarball, and they are left on the remote machine.
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:type src_container: unicode
:param src_resources: Resources, as (file or directory) names to copy.
:type src_resources: iterable
:param storage_dir: Remote directory to store the copied objects in.
:type storage_dir: unicode
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:type apply_chown: unicode or tuple
:param apply_chmod: File system permissions to set for the copied resources. Can be any notation as accepted by
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:type apply_chmod: unicode
### Response:
def copy_resources(src_container, src_resources, storage_dir, dst_directories=None, apply_chown=None, apply_chmod=None):
"""
Copies files and directories from a Docker container. Multiple resources can be copied and additional options are
available than in :func:`copy_resource`. Unlike in :func:`copy_resource`, Resources are copied as they are and not
compressed to a tarball, and they are left on the remote machine.
:param src_container: Container name or id.
:type src_container: unicode
:param src_resources: Resources, as (file or directory) names to copy.
:type src_resources: iterable
:param storage_dir: Remote directory to store the copied objects in.
:type storage_dir: unicode
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common default, use ``*`` as the resource key.
:type dst_directories: dict
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:type apply_chown: unicode or tuple
:param apply_chmod: File system permissions to set for the copied resources. Can be any notation as accepted by
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:type apply_chmod: unicode
"""
def _copy_resource(resource):
default_dest_path = generic_path if generic_path is not None else resource
dest_path = directories.get(resource, default_dest_path).strip(posixpath.sep)
head, tail = posixpath.split(dest_path)
rel_path = posixpath.join(storage_dir, head)
run(mkdir(rel_path, check_if_exists=True))
run('docker cp {0}:{1} {2}'.format(src_container, resource, rel_path), shell=False)
directories = dst_directories or {}
generic_path = directories.get('*')
for res in src_resources:
_copy_resource(res)
if apply_chmod:
run(chmod(apply_chmod, storage_dir))
if apply_chown:
sudo(chown(apply_chown, storage_dir))
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treyhunner/django-simple-history | simple_history/models.py | HistoricalRecords.create_history_model | def create_history_model(self, model, inherited):
"""
Creates a historical model to associate with the model provided.
"""
attrs = {
"__module__": self.module,
"_history_excluded_fields": self.excluded_fields,
}
app_module = "%s.models" % model._meta.app_label
if inherited:
# inherited use models module
attrs["__module__"] = model.__module__
elif model.__module__ != self.module:
# registered under different app
attrs["__module__"] = self.module
elif app_module != self.module:
# Abuse an internal API because the app registry is loading.
app = apps.app_configs[model._meta.app_label]
models_module = app.name
attrs["__module__"] = models_module
fields = self.copy_fields(model)
attrs.update(fields)
attrs.update(self.get_extra_fields(model, fields))
# type in python2 wants str as a first argument
attrs.update(Meta=type(str("Meta"), (), self.get_meta_options(model)))
if self.table_name is not None:
attrs["Meta"].db_table = self.table_name
# Set as the default then check for overrides
name = self.get_history_model_name(model)
registered_models[model._meta.db_table] = model
return python_2_unicode_compatible(type(str(name), self.bases, attrs)) | python | def create_history_model(self, model, inherited):
"""
Creates a historical model to associate with the model provided.
"""
attrs = {
"__module__": self.module,
"_history_excluded_fields": self.excluded_fields,
}
app_module = "%s.models" % model._meta.app_label
if inherited:
# inherited use models module
attrs["__module__"] = model.__module__
elif model.__module__ != self.module:
# registered under different app
attrs["__module__"] = self.module
elif app_module != self.module:
# Abuse an internal API because the app registry is loading.
app = apps.app_configs[model._meta.app_label]
models_module = app.name
attrs["__module__"] = models_module
fields = self.copy_fields(model)
attrs.update(fields)
attrs.update(self.get_extra_fields(model, fields))
# type in python2 wants str as a first argument
attrs.update(Meta=type(str("Meta"), (), self.get_meta_options(model)))
if self.table_name is not None:
attrs["Meta"].db_table = self.table_name
# Set as the default then check for overrides
name = self.get_history_model_name(model)
registered_models[model._meta.db_table] = model
return python_2_unicode_compatible(type(str(name), self.bases, attrs)) | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Creates a historical model to associate with the model provided.
### Response:
def create_history_model(self, model, inherited):
"""
Creates a historical model to associate with the model provided.
"""
attrs = {
"__module__": self.module,
"_history_excluded_fields": self.excluded_fields,
}
app_module = "%s.models" % model._meta.app_label
if inherited:
# inherited use models module
attrs["__module__"] = model.__module__
elif model.__module__ != self.module:
# registered under different app
attrs["__module__"] = self.module
elif app_module != self.module:
# Abuse an internal API because the app registry is loading.
app = apps.app_configs[model._meta.app_label]
models_module = app.name
attrs["__module__"] = models_module
fields = self.copy_fields(model)
attrs.update(fields)
attrs.update(self.get_extra_fields(model, fields))
# type in python2 wants str as a first argument
attrs.update(Meta=type(str("Meta"), (), self.get_meta_options(model)))
if self.table_name is not None:
attrs["Meta"].db_table = self.table_name
# Set as the default then check for overrides
name = self.get_history_model_name(model)
registered_models[model._meta.db_table] = model
return python_2_unicode_compatible(type(str(name), self.bases, attrs))
<|endoftext|> | [
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apple/turicreate | deps/src/libxml2-2.9.1/python/libxml2.py | SchemaValidCtxtCore.setValidityErrorHandler | def setValidityErrorHandler(self, err_func, warn_func, arg=None):
"""
Register error and warning handlers for Schema validation.
These will be called back as f(msg,arg)
"""
libxml2mod.xmlSchemaSetValidErrors(self._o, err_func, warn_func, arg) | python | def setValidityErrorHandler(self, err_func, warn_func, arg=None):
"""
Register error and warning handlers for Schema validation.
These will be called back as f(msg,arg)
"""
libxml2mod.xmlSchemaSetValidErrors(self._o, err_func, warn_func, arg) | [
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You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Register error and warning handlers for Schema validation.
These will be called back as f(msg,arg)
### Response:
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CenturyLinkCloud/clc-python-sdk | src/clc/APIv2/group.py | Group.Refresh | def Refresh(self):
"""Reloads the group object to synchronize with cloud representation.
>>> clc.v2.Group("wa-1234").Refresh()
"""
self.dirty = False
self.data = clc.v2.API.Call('GET','groups/%s/%s' % (self.alias,self.id), session=self.session)
self.data['changeInfo']['createdDate'] = clc.v2.time_utils.ZuluTSToSeconds(self.data['changeInfo']['createdDate'])
self.data['changeInfo']['modifiedDate'] = clc.v2.time_utils.ZuluTSToSeconds(self.data['changeInfo']['modifiedDate']) | python | def Refresh(self):
"""Reloads the group object to synchronize with cloud representation.
>>> clc.v2.Group("wa-1234").Refresh()
"""
self.dirty = False
self.data = clc.v2.API.Call('GET','groups/%s/%s' % (self.alias,self.id), session=self.session)
self.data['changeInfo']['createdDate'] = clc.v2.time_utils.ZuluTSToSeconds(self.data['changeInfo']['createdDate'])
self.data['changeInfo']['modifiedDate'] = clc.v2.time_utils.ZuluTSToSeconds(self.data['changeInfo']['modifiedDate']) | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Reloads the group object to synchronize with cloud representation.
>>> clc.v2.Group("wa-1234").Refresh()
### Response:
def Refresh(self):
"""Reloads the group object to synchronize with cloud representation.
>>> clc.v2.Group("wa-1234").Refresh()
"""
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self.data['changeInfo']['modifiedDate'] = clc.v2.time_utils.ZuluTSToSeconds(self.data['changeInfo']['modifiedDate'])
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Apitax/Apitax | apitax/api/controllers/migrations/admins_controller.py | driver_status | def driver_status(name): # noqa: E501
"""Retrieve the status of a loaded driver
Retrieve the status of a loaded driver # noqa: E501
:param name: Get status of a driver with this name
:type name: str
:rtype: Response
"""
if(not hasAccess()):
return redirectUnauthorized()
driver = LoadedDrivers.getDefaultDriver()
body = {"name": str(driver.__class__.__name__)}
body.update(driver.serialize())
return Response(status=200, body=body) | python | def driver_status(name): # noqa: E501
"""Retrieve the status of a loaded driver
Retrieve the status of a loaded driver # noqa: E501
:param name: Get status of a driver with this name
:type name: str
:rtype: Response
"""
if(not hasAccess()):
return redirectUnauthorized()
driver = LoadedDrivers.getDefaultDriver()
body = {"name": str(driver.__class__.__name__)}
body.update(driver.serialize())
return Response(status=200, body=body) | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Retrieve the status of a loaded driver
Retrieve the status of a loaded driver # noqa: E501
:param name: Get status of a driver with this name
:type name: str
:rtype: Response
### Response:
def driver_status(name): # noqa: E501
"""Retrieve the status of a loaded driver
Retrieve the status of a loaded driver # noqa: E501
:param name: Get status of a driver with this name
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return self.__create_pull_2(*args, **kwds) | python | def create_pull(self, *args, **kwds):
"""
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### Task:
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pythongssapi/python-gssapi | gssapi/creds.py | Credentials.add | def add(self, name, mech, usage='both',
init_lifetime=None, accept_lifetime=None, impersonator=None,
store=None):
"""Acquire more credentials to add to the current set
This method works like :meth:`acquire`, except that it adds the
acquired credentials for a single mechanism to a copy of the current
set, instead of creating a new set for multiple mechanisms.
Unlike :meth:`acquire`, you cannot pass None desired name or
mechanism.
If the `impersonator` argument is used, the credentials will
impersonate the given name using the impersonator credentials
(:requires-ext:`s4u`).
If the `store` argument is used, the credentials will be acquired
from the given credential store (:requires-ext:`cred_store`).
Otherwise, the credentials are acquired from the default store.
The credential store information is a dictionary containing
mechanisms-specific keys and values pointing to a credential store
or stores.
Note that the `store` argument is not compatible with the
`impersonator` argument.
Args:
name (Name): the name associated with the
credentials
mech (OID): the desired :class:`MechType` to be used with the
credentials
usage (str): the usage for the credentials -- either 'both',
'initiate', or 'accept'
init_lifetime (int): the desired initiate lifetime of the
credentials, or None for indefinite
accept_lifetime (int): the desired accept lifetime of the
credentials, or None for indefinite
impersonator (Credentials): the credentials to use to impersonate
the given name, or None to not acquire normally
(:requires-ext:`s4u`)
store (dict): the credential store information pointing to the
credential store from which to acquire the credentials,
or None for the default store (:requires-ext:`cred_store`)
Returns:
Credentials: the credentials set containing the current credentials
and the newly acquired ones.
Raises:
BadMechanismError
BadNameTypeError
BadNameError
DuplicateCredentialsElementError
ExpiredCredentialsError
MissingCredentialsError
"""
if store is not None and impersonator is not None:
raise ValueError('You cannot use both the `impersonator` and '
'`store` arguments at the same time')
if store is not None:
if rcred_cred_store is None:
raise NotImplementedError("Your GSSAPI implementation does "
"not have support for manipulating "
"credential stores")
store = _encode_dict(store)
res = rcred_cred_store.add_cred_from(store, self, name, mech,
usage, init_lifetime,
accept_lifetime)
elif impersonator is not None:
if rcred_s4u is None:
raise NotImplementedError("Your GSSAPI implementation does "
"not have support for S4U")
res = rcred_s4u.add_cred_impersonate_name(self, impersonator,
name, mech, usage,
init_lifetime,
accept_lifetime)
else:
res = rcreds.add_cred(self, name, mech, usage, init_lifetime,
accept_lifetime)
return Credentials(res.creds) | python | def add(self, name, mech, usage='both',
init_lifetime=None, accept_lifetime=None, impersonator=None,
store=None):
"""Acquire more credentials to add to the current set
This method works like :meth:`acquire`, except that it adds the
acquired credentials for a single mechanism to a copy of the current
set, instead of creating a new set for multiple mechanisms.
Unlike :meth:`acquire`, you cannot pass None desired name or
mechanism.
If the `impersonator` argument is used, the credentials will
impersonate the given name using the impersonator credentials
(:requires-ext:`s4u`).
If the `store` argument is used, the credentials will be acquired
from the given credential store (:requires-ext:`cred_store`).
Otherwise, the credentials are acquired from the default store.
The credential store information is a dictionary containing
mechanisms-specific keys and values pointing to a credential store
or stores.
Note that the `store` argument is not compatible with the
`impersonator` argument.
Args:
name (Name): the name associated with the
credentials
mech (OID): the desired :class:`MechType` to be used with the
credentials
usage (str): the usage for the credentials -- either 'both',
'initiate', or 'accept'
init_lifetime (int): the desired initiate lifetime of the
credentials, or None for indefinite
accept_lifetime (int): the desired accept lifetime of the
credentials, or None for indefinite
impersonator (Credentials): the credentials to use to impersonate
the given name, or None to not acquire normally
(:requires-ext:`s4u`)
store (dict): the credential store information pointing to the
credential store from which to acquire the credentials,
or None for the default store (:requires-ext:`cred_store`)
Returns:
Credentials: the credentials set containing the current credentials
and the newly acquired ones.
Raises:
BadMechanismError
BadNameTypeError
BadNameError
DuplicateCredentialsElementError
ExpiredCredentialsError
MissingCredentialsError
"""
if store is not None and impersonator is not None:
raise ValueError('You cannot use both the `impersonator` and '
'`store` arguments at the same time')
if store is not None:
if rcred_cred_store is None:
raise NotImplementedError("Your GSSAPI implementation does "
"not have support for manipulating "
"credential stores")
store = _encode_dict(store)
res = rcred_cred_store.add_cred_from(store, self, name, mech,
usage, init_lifetime,
accept_lifetime)
elif impersonator is not None:
if rcred_s4u is None:
raise NotImplementedError("Your GSSAPI implementation does "
"not have support for S4U")
res = rcred_s4u.add_cred_impersonate_name(self, impersonator,
name, mech, usage,
init_lifetime,
accept_lifetime)
else:
res = rcreds.add_cred(self, name, mech, usage, init_lifetime,
accept_lifetime)
return Credentials(res.creds) | [
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")"
] | Acquire more credentials to add to the current set
This method works like :meth:`acquire`, except that it adds the
acquired credentials for a single mechanism to a copy of the current
set, instead of creating a new set for multiple mechanisms.
Unlike :meth:`acquire`, you cannot pass None desired name or
mechanism.
If the `impersonator` argument is used, the credentials will
impersonate the given name using the impersonator credentials
(:requires-ext:`s4u`).
If the `store` argument is used, the credentials will be acquired
from the given credential store (:requires-ext:`cred_store`).
Otherwise, the credentials are acquired from the default store.
The credential store information is a dictionary containing
mechanisms-specific keys and values pointing to a credential store
or stores.
Note that the `store` argument is not compatible with the
`impersonator` argument.
Args:
name (Name): the name associated with the
credentials
mech (OID): the desired :class:`MechType` to be used with the
credentials
usage (str): the usage for the credentials -- either 'both',
'initiate', or 'accept'
init_lifetime (int): the desired initiate lifetime of the
credentials, or None for indefinite
accept_lifetime (int): the desired accept lifetime of the
credentials, or None for indefinite
impersonator (Credentials): the credentials to use to impersonate
the given name, or None to not acquire normally
(:requires-ext:`s4u`)
store (dict): the credential store information pointing to the
credential store from which to acquire the credentials,
or None for the default store (:requires-ext:`cred_store`)
Returns:
Credentials: the credentials set containing the current credentials
and the newly acquired ones.
Raises:
BadMechanismError
BadNameTypeError
BadNameError
DuplicateCredentialsElementError
ExpiredCredentialsError
MissingCredentialsError | [
"Acquire",
"more",
"credentials",
"to",
"add",
"to",
"the",
"current",
"set"
] | train | https://github.com/pythongssapi/python-gssapi/blob/b6efe72aa35a4c1fe21b397e15fcb41611e365ce/gssapi/creds.py#L303-L386 | <|startoftext|>
### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Acquire more credentials to add to the current set
This method works like :meth:`acquire`, except that it adds the
acquired credentials for a single mechanism to a copy of the current
set, instead of creating a new set for multiple mechanisms.
Unlike :meth:`acquire`, you cannot pass None desired name or
mechanism.
If the `impersonator` argument is used, the credentials will
impersonate the given name using the impersonator credentials
(:requires-ext:`s4u`).
If the `store` argument is used, the credentials will be acquired
from the given credential store (:requires-ext:`cred_store`).
Otherwise, the credentials are acquired from the default store.
The credential store information is a dictionary containing
mechanisms-specific keys and values pointing to a credential store
or stores.
Note that the `store` argument is not compatible with the
`impersonator` argument.
Args:
name (Name): the name associated with the
credentials
mech (OID): the desired :class:`MechType` to be used with the
credentials
usage (str): the usage for the credentials -- either 'both',
'initiate', or 'accept'
init_lifetime (int): the desired initiate lifetime of the
credentials, or None for indefinite
accept_lifetime (int): the desired accept lifetime of the
credentials, or None for indefinite
impersonator (Credentials): the credentials to use to impersonate
the given name, or None to not acquire normally
(:requires-ext:`s4u`)
store (dict): the credential store information pointing to the
credential store from which to acquire the credentials,
or None for the default store (:requires-ext:`cred_store`)
Returns:
Credentials: the credentials set containing the current credentials
and the newly acquired ones.
Raises:
BadMechanismError
BadNameTypeError
BadNameError
DuplicateCredentialsElementError
ExpiredCredentialsError
MissingCredentialsError
### Response:
def add(self, name, mech, usage='both',
init_lifetime=None, accept_lifetime=None, impersonator=None,
store=None):
"""Acquire more credentials to add to the current set
This method works like :meth:`acquire`, except that it adds the
acquired credentials for a single mechanism to a copy of the current
set, instead of creating a new set for multiple mechanisms.
Unlike :meth:`acquire`, you cannot pass None desired name or
mechanism.
If the `impersonator` argument is used, the credentials will
impersonate the given name using the impersonator credentials
(:requires-ext:`s4u`).
If the `store` argument is used, the credentials will be acquired
from the given credential store (:requires-ext:`cred_store`).
Otherwise, the credentials are acquired from the default store.
The credential store information is a dictionary containing
mechanisms-specific keys and values pointing to a credential store
or stores.
Note that the `store` argument is not compatible with the
`impersonator` argument.
Args:
name (Name): the name associated with the
credentials
mech (OID): the desired :class:`MechType` to be used with the
credentials
usage (str): the usage for the credentials -- either 'both',
'initiate', or 'accept'
init_lifetime (int): the desired initiate lifetime of the
credentials, or None for indefinite
accept_lifetime (int): the desired accept lifetime of the
credentials, or None for indefinite
impersonator (Credentials): the credentials to use to impersonate
the given name, or None to not acquire normally
(:requires-ext:`s4u`)
store (dict): the credential store information pointing to the
credential store from which to acquire the credentials,
or None for the default store (:requires-ext:`cred_store`)
Returns:
Credentials: the credentials set containing the current credentials
and the newly acquired ones.
Raises:
BadMechanismError
BadNameTypeError
BadNameError
DuplicateCredentialsElementError
ExpiredCredentialsError
MissingCredentialsError
"""
if store is not None and impersonator is not None:
raise ValueError('You cannot use both the `impersonator` and '
'`store` arguments at the same time')
if store is not None:
if rcred_cred_store is None:
raise NotImplementedError("Your GSSAPI implementation does "
"not have support for manipulating "
"credential stores")
store = _encode_dict(store)
res = rcred_cred_store.add_cred_from(store, self, name, mech,
usage, init_lifetime,
accept_lifetime)
elif impersonator is not None:
if rcred_s4u is None:
raise NotImplementedError("Your GSSAPI implementation does "
"not have support for S4U")
res = rcred_s4u.add_cred_impersonate_name(self, impersonator,
name, mech, usage,
init_lifetime,
accept_lifetime)
else:
res = rcreds.add_cred(self, name, mech, usage, init_lifetime,
accept_lifetime)
return Credentials(res.creds)
<|endoftext|> | [
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yyuu/botornado | boto/ec2/connection.py | EC2Connection.get_instance_attribute | def get_instance_attribute(self, instance_id, attribute):
"""
Gets an attribute from an instance.
:type instance_id: string
:param instance_id: The Amazon id of the instance
:type attribute: string
:param attribute: The attribute you need information about
Valid choices are:
* instanceType|kernel|ramdisk|userData|
* disableApiTermination|
* instanceInitiatedShutdownBehavior|
* rootDeviceName|blockDeviceMapping
:rtype: :class:`boto.ec2.image.InstanceAttribute`
:return: An InstanceAttribute object representing the value of the
attribute requested
"""
params = {'InstanceId' : instance_id}
if attribute:
params['Attribute'] = attribute
return self.get_object('DescribeInstanceAttribute', params,
InstanceAttribute, verb='POST') | python | def get_instance_attribute(self, instance_id, attribute):
"""
Gets an attribute from an instance.
:type instance_id: string
:param instance_id: The Amazon id of the instance
:type attribute: string
:param attribute: The attribute you need information about
Valid choices are:
* instanceType|kernel|ramdisk|userData|
* disableApiTermination|
* instanceInitiatedShutdownBehavior|
* rootDeviceName|blockDeviceMapping
:rtype: :class:`boto.ec2.image.InstanceAttribute`
:return: An InstanceAttribute object representing the value of the
attribute requested
"""
params = {'InstanceId' : instance_id}
if attribute:
params['Attribute'] = attribute
return self.get_object('DescribeInstanceAttribute', params,
InstanceAttribute, verb='POST') | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Gets an attribute from an instance.
:type instance_id: string
:param instance_id: The Amazon id of the instance
:type attribute: string
:param attribute: The attribute you need information about
Valid choices are:
* instanceType|kernel|ramdisk|userData|
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:param instance_id: The Amazon id of the instance
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params = {'InstanceId' : instance_id}
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msuozzo/Aduro | aduro/events.py | UpdateEvent.from_str | def from_str(string):
"""Generate a `SetFinishedEvent` object from a string
"""
match = re.match(r'^UPDATE (.+)$', string)
if match:
parsed_date = dateutil.parser.parse(match.group(1), ignoretz=True)
return UpdateEvent(parsed_date)
else:
raise EventParseError | python | def from_str(string):
"""Generate a `SetFinishedEvent` object from a string
"""
match = re.match(r'^UPDATE (.+)$', string)
if match:
parsed_date = dateutil.parser.parse(match.group(1), ignoretz=True)
return UpdateEvent(parsed_date)
else:
raise EventParseError | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Generate a `SetFinishedEvent` object from a string
### Response:
def from_str(string):
"""Generate a `SetFinishedEvent` object from a string
"""
match = re.match(r'^UPDATE (.+)$', string)
if match:
parsed_date = dateutil.parser.parse(match.group(1), ignoretz=True)
return UpdateEvent(parsed_date)
else:
raise EventParseError
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juju/charm-helpers | charmhelpers/core/host.py | restart_on_change_helper | def restart_on_change_helper(lambda_f, restart_map, stopstart=False,
restart_functions=None):
"""Helper function to perform the restart_on_change function.
This is provided for decorators to restart services if files described
in the restart_map have changed after an invocation of lambda_f().
@param lambda_f: function to call.
@param restart_map: {file: [service, ...]}
@param stopstart: whether to stop, start or restart a service
@param restart_functions: nonstandard functions to use to restart services
{svc: func, ...}
@returns result of lambda_f()
"""
if restart_functions is None:
restart_functions = {}
checksums = {path: path_hash(path) for path in restart_map}
r = lambda_f()
# create a list of lists of the services to restart
restarts = [restart_map[path]
for path in restart_map
if path_hash(path) != checksums[path]]
# create a flat list of ordered services without duplicates from lists
services_list = list(OrderedDict.fromkeys(itertools.chain(*restarts)))
if services_list:
actions = ('stop', 'start') if stopstart else ('restart',)
for service_name in services_list:
if service_name in restart_functions:
restart_functions[service_name](service_name)
else:
for action in actions:
service(action, service_name)
return r | python | def restart_on_change_helper(lambda_f, restart_map, stopstart=False,
restart_functions=None):
"""Helper function to perform the restart_on_change function.
This is provided for decorators to restart services if files described
in the restart_map have changed after an invocation of lambda_f().
@param lambda_f: function to call.
@param restart_map: {file: [service, ...]}
@param stopstart: whether to stop, start or restart a service
@param restart_functions: nonstandard functions to use to restart services
{svc: func, ...}
@returns result of lambda_f()
"""
if restart_functions is None:
restart_functions = {}
checksums = {path: path_hash(path) for path in restart_map}
r = lambda_f()
# create a list of lists of the services to restart
restarts = [restart_map[path]
for path in restart_map
if path_hash(path) != checksums[path]]
# create a flat list of ordered services without duplicates from lists
services_list = list(OrderedDict.fromkeys(itertools.chain(*restarts)))
if services_list:
actions = ('stop', 'start') if stopstart else ('restart',)
for service_name in services_list:
if service_name in restart_functions:
restart_functions[service_name](service_name)
else:
for action in actions:
service(action, service_name)
return r | [
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@param lambda_f: function to call.
@param restart_map: {file: [service, ...]}
@param stopstart: whether to stop, start or restart a service
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Helper function to perform the restart_on_change function.
This is provided for decorators to restart services if files described
in the restart_map have changed after an invocation of lambda_f().
@param lambda_f: function to call.
@param restart_map: {file: [service, ...]}
@param stopstart: whether to stop, start or restart a service
@param restart_functions: nonstandard functions to use to restart services
{svc: func, ...}
@returns result of lambda_f()
### Response:
def restart_on_change_helper(lambda_f, restart_map, stopstart=False,
restart_functions=None):
"""Helper function to perform the restart_on_change function.
This is provided for decorators to restart services if files described
in the restart_map have changed after an invocation of lambda_f().
@param lambda_f: function to call.
@param restart_map: {file: [service, ...]}
@param stopstart: whether to stop, start or restart a service
@param restart_functions: nonstandard functions to use to restart services
{svc: func, ...}
@returns result of lambda_f()
"""
if restart_functions is None:
restart_functions = {}
checksums = {path: path_hash(path) for path in restart_map}
r = lambda_f()
# create a list of lists of the services to restart
restarts = [restart_map[path]
for path in restart_map
if path_hash(path) != checksums[path]]
# create a flat list of ordered services without duplicates from lists
services_list = list(OrderedDict.fromkeys(itertools.chain(*restarts)))
if services_list:
actions = ('stop', 'start') if stopstart else ('restart',)
for service_name in services_list:
if service_name in restart_functions:
restart_functions[service_name](service_name)
else:
for action in actions:
service(action, service_name)
return r
<|endoftext|> | [
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BerkeleyAutomation/perception | perception/orthographic_intrinsics.py | OrthographicIntrinsics.save | def save(self, filename):
"""Save the CameraIntrinsics object to a .intr file.
Parameters
----------
filename : :obj:`str`
The .intr file to save the object to.
Raises
------
ValueError
If filename does not have the .intr extension.
"""
file_root, file_ext = os.path.splitext(filename)
if file_ext.lower() != INTR_EXTENSION:
raise ValueError('Extension %s not supported for OrhtographicIntrinsics. Must be stored with extension %s' %(file_ext, INTR_EXTENSION))
camera_intr_dict = copy.deepcopy(self.__dict__)
f = open(filename, 'w')
json.dump(camera_intr_dict, f)
f.close() | python | def save(self, filename):
"""Save the CameraIntrinsics object to a .intr file.
Parameters
----------
filename : :obj:`str`
The .intr file to save the object to.
Raises
------
ValueError
If filename does not have the .intr extension.
"""
file_root, file_ext = os.path.splitext(filename)
if file_ext.lower() != INTR_EXTENSION:
raise ValueError('Extension %s not supported for OrhtographicIntrinsics. Must be stored with extension %s' %(file_ext, INTR_EXTENSION))
camera_intr_dict = copy.deepcopy(self.__dict__)
f = open(filename, 'w')
json.dump(camera_intr_dict, f)
f.close() | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Save the CameraIntrinsics object to a .intr file.
Parameters
----------
filename : :obj:`str`
The .intr file to save the object to.
Raises
------
ValueError
If filename does not have the .intr extension.
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def save(self, filename):
"""Save the CameraIntrinsics object to a .intr file.
Parameters
----------
filename : :obj:`str`
The .intr file to save the object to.
Raises
------
ValueError
If filename does not have the .intr extension.
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camera_intr_dict = copy.deepcopy(self.__dict__)
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dustin/twitty-twister | twittytwister/twitter.py | Twitter.list_friends | def list_friends(self, delegate, user=None, params={}, extra_args=None, page_delegate=None):
"""Get the list of friends for a user.
Calls the delegate with each user object found."""
if user:
url = '/statuses/friends/' + user + '.xml'
else:
url = '/statuses/friends.xml'
return self.__get_maybe_paging(url, delegate, params, txml.PagedUserList, extra_args, page_delegate) | python | def list_friends(self, delegate, user=None, params={}, extra_args=None, page_delegate=None):
"""Get the list of friends for a user.
Calls the delegate with each user object found."""
if user:
url = '/statuses/friends/' + user + '.xml'
else:
url = '/statuses/friends.xml'
return self.__get_maybe_paging(url, delegate, params, txml.PagedUserList, extra_args, page_delegate) | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Get the list of friends for a user.
Calls the delegate with each user object found.
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rkhleics/wagtailmodeladmin | wagtailmodeladmin/options.py | ModelAdmin.get_templates | def get_templates(self, action='index'):
"""
Utility function that provides a list of templates to try for a given
view, when the template isn't overridden by one of the template
attributes on the class.
"""
app = self.opts.app_label
model_name = self.opts.model_name
return [
'wagtailmodeladmin/%s/%s/%s.html' % (app, model_name, action),
'wagtailmodeladmin/%s/%s.html' % (app, action),
'wagtailmodeladmin/%s.html' % (action,),
] | python | def get_templates(self, action='index'):
"""
Utility function that provides a list of templates to try for a given
view, when the template isn't overridden by one of the template
attributes on the class.
"""
app = self.opts.app_label
model_name = self.opts.model_name
return [
'wagtailmodeladmin/%s/%s/%s.html' % (app, model_name, action),
'wagtailmodeladmin/%s/%s.html' % (app, action),
'wagtailmodeladmin/%s.html' % (action,),
] | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Utility function that provides a list of templates to try for a given
view, when the template isn't overridden by one of the template
attributes on the class.
### Response:
def get_templates(self, action='index'):
"""
Utility function that provides a list of templates to try for a given
view, when the template isn't overridden by one of the template
attributes on the class.
"""
app = self.opts.app_label
model_name = self.opts.model_name
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epfl-lts2/pygsp | pygsp/utils.py | import_classes | def import_classes(names, src, dst):
"""Import classes in package from their implementation modules."""
for name in names:
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setattr(sys.modules['pygsp.' + dst], name, getattr(module, name)) | python | def import_classes(names, src, dst):
"""Import classes in package from their implementation modules."""
for name in names:
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setattr(sys.modules['pygsp.' + dst], name, getattr(module, name)) | [
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You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Import classes in package from their implementation modules.
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Atomistica/atomistica | src/python/atomistica/analysis.py | stress_invariants | def stress_invariants(s):
"""Receives a list of stress tensors and returns the three invariants.
Return hydrostatic pressure, octahedral shear stress and J3
"""
s = np.asarray(s)
if s.shape == (6,):
s = s.reshape(1,-1)
elif s.shape == (3,3):
s = s.reshape(1,-1,-1)
if len(s.shape) == 3:
s = np.transpose([s[:,0,0],s[:,1,1],s[:,2,2],
(s[:,0,1]+s[:,1,0])/2,
(s[:,1,2]+s[:,2,1])/2,
(s[:,2,0]+s[:,0,2])/2])
I1 = s[:,0]+s[:,1]+s[:,2]
I2 = s[:,0]*s[:,1]+s[:,1]*s[:,2]+s[:,2]*s[:,0]-s[:,3]**2-s[:,4]**2-s[:,5]**2
I3 = s[:,0]*s[:,1]*s[:,2]+2*s[:,3]*s[:,4]*s[:,5]-s[:,3]**2*s[:,2]-s[:,4]**2*s[:,0]-s[:,5]**2*s[:,1]
J2 = I1**2/3-I2
J3 = 2*I1**3/27-I1*I2/3+I3
# Return hydrostatic pressure, octahedral shear stress and J3
return -I1/3, np.sqrt(2*J2/3), J3 | python | def stress_invariants(s):
"""Receives a list of stress tensors and returns the three invariants.
Return hydrostatic pressure, octahedral shear stress and J3
"""
s = np.asarray(s)
if s.shape == (6,):
s = s.reshape(1,-1)
elif s.shape == (3,3):
s = s.reshape(1,-1,-1)
if len(s.shape) == 3:
s = np.transpose([s[:,0,0],s[:,1,1],s[:,2,2],
(s[:,0,1]+s[:,1,0])/2,
(s[:,1,2]+s[:,2,1])/2,
(s[:,2,0]+s[:,0,2])/2])
I1 = s[:,0]+s[:,1]+s[:,2]
I2 = s[:,0]*s[:,1]+s[:,1]*s[:,2]+s[:,2]*s[:,0]-s[:,3]**2-s[:,4]**2-s[:,5]**2
I3 = s[:,0]*s[:,1]*s[:,2]+2*s[:,3]*s[:,4]*s[:,5]-s[:,3]**2*s[:,2]-s[:,4]**2*s[:,0]-s[:,5]**2*s[:,1]
J2 = I1**2/3-I2
J3 = 2*I1**3/27-I1*I2/3+I3
# Return hydrostatic pressure, octahedral shear stress and J3
return -I1/3, np.sqrt(2*J2/3), J3 | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Receives a list of stress tensors and returns the three invariants.
Return hydrostatic pressure, octahedral shear stress and J3
### Response:
def stress_invariants(s):
"""Receives a list of stress tensors and returns the three invariants.
Return hydrostatic pressure, octahedral shear stress and J3
"""
s = np.asarray(s)
if s.shape == (6,):
s = s.reshape(1,-1)
elif s.shape == (3,3):
s = s.reshape(1,-1,-1)
if len(s.shape) == 3:
s = np.transpose([s[:,0,0],s[:,1,1],s[:,2,2],
(s[:,0,1]+s[:,1,0])/2,
(s[:,1,2]+s[:,2,1])/2,
(s[:,2,0]+s[:,0,2])/2])
I1 = s[:,0]+s[:,1]+s[:,2]
I2 = s[:,0]*s[:,1]+s[:,1]*s[:,2]+s[:,2]*s[:,0]-s[:,3]**2-s[:,4]**2-s[:,5]**2
I3 = s[:,0]*s[:,1]*s[:,2]+2*s[:,3]*s[:,4]*s[:,5]-s[:,3]**2*s[:,2]-s[:,4]**2*s[:,0]-s[:,5]**2*s[:,1]
J2 = I1**2/3-I2
J3 = 2*I1**3/27-I1*I2/3+I3
# Return hydrostatic pressure, octahedral shear stress and J3
return -I1/3, np.sqrt(2*J2/3), J3
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OnroerendErfgoed/oe_utils | oe_utils/__init__.py | conditional_http_tween_factory | def conditional_http_tween_factory(handler, registry):
"""
Tween that adds ETag headers and tells Pyramid to enable
conditional responses where appropriate.
"""
settings = registry.settings if hasattr(registry, 'settings') else {}
not_cacheble_list = []
if 'not.cachable.list' in settings:
not_cacheble_list = settings.get('not.cachable.list').split()
def conditional_http_tween(request):
response = handler(request)
if request.path not in not_cacheble_list:
# If the Last-Modified header has been set, we want to enable the
# conditional response processing.
if response.last_modified is not None:
response.conditional_response = True
# We want to only enable the conditional machinery if either we
# were given an explicit ETag header by the view or we have a
# buffered response and can generate the ETag header ourself.
if response.etag is not None:
response.conditional_response = True
elif (isinstance(response.app_iter, Sequence) and
len(response.app_iter) == 1) and response.body is not None:
response.conditional_response = True
response.md5_etag()
return response
return conditional_http_tween | python | def conditional_http_tween_factory(handler, registry):
"""
Tween that adds ETag headers and tells Pyramid to enable
conditional responses where appropriate.
"""
settings = registry.settings if hasattr(registry, 'settings') else {}
not_cacheble_list = []
if 'not.cachable.list' in settings:
not_cacheble_list = settings.get('not.cachable.list').split()
def conditional_http_tween(request):
response = handler(request)
if request.path not in not_cacheble_list:
# If the Last-Modified header has been set, we want to enable the
# conditional response processing.
if response.last_modified is not None:
response.conditional_response = True
# We want to only enable the conditional machinery if either we
# were given an explicit ETag header by the view or we have a
# buffered response and can generate the ETag header ourself.
if response.etag is not None:
response.conditional_response = True
elif (isinstance(response.app_iter, Sequence) and
len(response.app_iter) == 1) and response.body is not None:
response.conditional_response = True
response.md5_etag()
return response
return conditional_http_tween | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Tween that adds ETag headers and tells Pyramid to enable
conditional responses where appropriate.
### Response:
def conditional_http_tween_factory(handler, registry):
"""
Tween that adds ETag headers and tells Pyramid to enable
conditional responses where appropriate.
"""
settings = registry.settings if hasattr(registry, 'settings') else {}
not_cacheble_list = []
if 'not.cachable.list' in settings:
not_cacheble_list = settings.get('not.cachable.list').split()
def conditional_http_tween(request):
response = handler(request)
if request.path not in not_cacheble_list:
# If the Last-Modified header has been set, we want to enable the
# conditional response processing.
if response.last_modified is not None:
response.conditional_response = True
# We want to only enable the conditional machinery if either we
# were given an explicit ETag header by the view or we have a
# buffered response and can generate the ETag header ourself.
if response.etag is not None:
response.conditional_response = True
elif (isinstance(response.app_iter, Sequence) and
len(response.app_iter) == 1) and response.body is not None:
response.conditional_response = True
response.md5_etag()
return response
return conditional_http_tween
<|endoftext|> | [
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ff0000/scarlet | scarlet/cms/renders.py | ChoicesRender.render | def render(self, request, **kwargs):
"""
Returns a JSON representation of a objects list page.
The json has the following attributes:
* **is_paginated** - Is the list paginated.
* **results** - A list of objects, where each object has an \
attribute/value for each field in the list. An 'id' attribute \
is always included.
* **fields** - An object who's properties are the fields \
in the results list. Each property will have an object with \
the the following attributes:
* **name** - The verbose name of the field.
* **sortable** - Can this column be sorted. True or False.
* **order_type** - What is the current order of this column.
The following attributes only appear if the list is paginated:
* **count** - If the list is paginated, how many objects \
total are there.
* **page** - Current page number.
* **next** - The full link to the next page.
* **previous** - The full link to the previous page.
If the list can be filtered the following attribute is included:
* **params** - An object who's properties are the filter options. \
Each property contains an object with the following attributes:
* **value** - If the current result list has been filtered by \
this field then value will contain the filter value that was used.
* **choices** - If the field is a choice field this will contain \
the options.
Example JSON:
::
{"count": 1,
"fields": {
"name": {"sortable": true, "name": "name", "order_type": "asc"}
},
"results": [{"id": 12, "name": "Test"}],
"next": "",
"params": {"name": {"value": null}},
"is_paginated": true,
"page": 1,
"previous": ""}
"""
data = {
'is_paginated': kwargs.get('is_paginated')
}
if data.get('is_paginated'):
page = kwargs['page_obj']
next_p = ''
previous = ''
if page.has_next():
next_p = self.get_different_page(request, page.number + 1)
if page.has_previous():
previous = self.get_different_page(request, page.number - 1)
data.update({
'count': page.paginator.count,
'page': page.number,
'next': next_p,
'previous': previous,
})
if kwargs.get('filter_form'):
exclude = request.GET.getlist('exclude')
filter_form = {}
form = kwargs.get('filter_form')
for name in form.get_search_fields(exclude):
k = form[name]
obj = {}
obj['value'] = k.value()
obj['label'] = k.label
if hasattr(k.field, 'choices'):
obj['choices'] = k.field.choices
filter_form[k.name] = obj
data['params'] = filter_form
adm_list = kwargs['list']
data['fields'] = self.get_fields(adm_list)
data['results'] = self.get_object_list(adm_list)
return http.HttpResponse(json.dumps(data, cls=DjangoJSONEncoder)) | python | def render(self, request, **kwargs):
"""
Returns a JSON representation of a objects list page.
The json has the following attributes:
* **is_paginated** - Is the list paginated.
* **results** - A list of objects, where each object has an \
attribute/value for each field in the list. An 'id' attribute \
is always included.
* **fields** - An object who's properties are the fields \
in the results list. Each property will have an object with \
the the following attributes:
* **name** - The verbose name of the field.
* **sortable** - Can this column be sorted. True or False.
* **order_type** - What is the current order of this column.
The following attributes only appear if the list is paginated:
* **count** - If the list is paginated, how many objects \
total are there.
* **page** - Current page number.
* **next** - The full link to the next page.
* **previous** - The full link to the previous page.
If the list can be filtered the following attribute is included:
* **params** - An object who's properties are the filter options. \
Each property contains an object with the following attributes:
* **value** - If the current result list has been filtered by \
this field then value will contain the filter value that was used.
* **choices** - If the field is a choice field this will contain \
the options.
Example JSON:
::
{"count": 1,
"fields": {
"name": {"sortable": true, "name": "name", "order_type": "asc"}
},
"results": [{"id": 12, "name": "Test"}],
"next": "",
"params": {"name": {"value": null}},
"is_paginated": true,
"page": 1,
"previous": ""}
"""
data = {
'is_paginated': kwargs.get('is_paginated')
}
if data.get('is_paginated'):
page = kwargs['page_obj']
next_p = ''
previous = ''
if page.has_next():
next_p = self.get_different_page(request, page.number + 1)
if page.has_previous():
previous = self.get_different_page(request, page.number - 1)
data.update({
'count': page.paginator.count,
'page': page.number,
'next': next_p,
'previous': previous,
})
if kwargs.get('filter_form'):
exclude = request.GET.getlist('exclude')
filter_form = {}
form = kwargs.get('filter_form')
for name in form.get_search_fields(exclude):
k = form[name]
obj = {}
obj['value'] = k.value()
obj['label'] = k.label
if hasattr(k.field, 'choices'):
obj['choices'] = k.field.choices
filter_form[k.name] = obj
data['params'] = filter_form
adm_list = kwargs['list']
data['fields'] = self.get_fields(adm_list)
data['results'] = self.get_object_list(adm_list)
return http.HttpResponse(json.dumps(data, cls=DjangoJSONEncoder)) | [
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* **fields** - An object who's properties are the fields \
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* **name** - The verbose name of the field.
* **sortable** - Can this column be sorted. True or False.
* **order_type** - What is the current order of this column.
The following attributes only appear if the list is paginated:
* **count** - If the list is paginated, how many objects \
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* **page** - Current page number.
* **next** - The full link to the next page.
* **previous** - The full link to the previous page.
If the list can be filtered the following attribute is included:
* **params** - An object who's properties are the filter options. \
Each property contains an object with the following attributes:
* **value** - If the current result list has been filtered by \
this field then value will contain the filter value that was used.
* **choices** - If the field is a choice field this will contain \
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Example JSON:
::
{"count": 1,
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},
"results": [{"id": 12, "name": "Test"}],
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] | train | https://github.com/ff0000/scarlet/blob/6c37befd810916a2d7ffff2cdb2dab57bcb6d12e/scarlet/cms/renders.py#L179-L268 | <|startoftext|>
### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Returns a JSON representation of a objects list page.
The json has the following attributes:
* **is_paginated** - Is the list paginated.
* **results** - A list of objects, where each object has an \
attribute/value for each field in the list. An 'id' attribute \
is always included.
* **fields** - An object who's properties are the fields \
in the results list. Each property will have an object with \
the the following attributes:
* **name** - The verbose name of the field.
* **sortable** - Can this column be sorted. True or False.
* **order_type** - What is the current order of this column.
The following attributes only appear if the list is paginated:
* **count** - If the list is paginated, how many objects \
total are there.
* **page** - Current page number.
* **next** - The full link to the next page.
* **previous** - The full link to the previous page.
If the list can be filtered the following attribute is included:
* **params** - An object who's properties are the filter options. \
Each property contains an object with the following attributes:
* **value** - If the current result list has been filtered by \
this field then value will contain the filter value that was used.
* **choices** - If the field is a choice field this will contain \
the options.
Example JSON:
::
{"count": 1,
"fields": {
"name": {"sortable": true, "name": "name", "order_type": "asc"}
},
"results": [{"id": 12, "name": "Test"}],
"next": "",
"params": {"name": {"value": null}},
"is_paginated": true,
"page": 1,
"previous": ""}
### Response:
def render(self, request, **kwargs):
"""
Returns a JSON representation of a objects list page.
The json has the following attributes:
* **is_paginated** - Is the list paginated.
* **results** - A list of objects, where each object has an \
attribute/value for each field in the list. An 'id' attribute \
is always included.
* **fields** - An object who's properties are the fields \
in the results list. Each property will have an object with \
the the following attributes:
* **name** - The verbose name of the field.
* **sortable** - Can this column be sorted. True or False.
* **order_type** - What is the current order of this column.
The following attributes only appear if the list is paginated:
* **count** - If the list is paginated, how many objects \
total are there.
* **page** - Current page number.
* **next** - The full link to the next page.
* **previous** - The full link to the previous page.
If the list can be filtered the following attribute is included:
* **params** - An object who's properties are the filter options. \
Each property contains an object with the following attributes:
* **value** - If the current result list has been filtered by \
this field then value will contain the filter value that was used.
* **choices** - If the field is a choice field this will contain \
the options.
Example JSON:
::
{"count": 1,
"fields": {
"name": {"sortable": true, "name": "name", "order_type": "asc"}
},
"results": [{"id": 12, "name": "Test"}],
"next": "",
"params": {"name": {"value": null}},
"is_paginated": true,
"page": 1,
"previous": ""}
"""
data = {
'is_paginated': kwargs.get('is_paginated')
}
if data.get('is_paginated'):
page = kwargs['page_obj']
next_p = ''
previous = ''
if page.has_next():
next_p = self.get_different_page(request, page.number + 1)
if page.has_previous():
previous = self.get_different_page(request, page.number - 1)
data.update({
'count': page.paginator.count,
'page': page.number,
'next': next_p,
'previous': previous,
})
if kwargs.get('filter_form'):
exclude = request.GET.getlist('exclude')
filter_form = {}
form = kwargs.get('filter_form')
for name in form.get_search_fields(exclude):
k = form[name]
obj = {}
obj['value'] = k.value()
obj['label'] = k.label
if hasattr(k.field, 'choices'):
obj['choices'] = k.field.choices
filter_form[k.name] = obj
data['params'] = filter_form
adm_list = kwargs['list']
data['fields'] = self.get_fields(adm_list)
data['results'] = self.get_object_list(adm_list)
return http.HttpResponse(json.dumps(data, cls=DjangoJSONEncoder))
<|endoftext|> | [
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Erotemic/utool | utool/util_func.py | compose_functions | def compose_functions(*func_list):
"""
Referenes:
https://mathieularose.com/function-composition-in-python/
"""
def apply_composition(f, g):
def compose(x):
return f(g(x))
return compose
composed_func = functools.reduce(apply_composition, func_list)
return composed_func | python | def compose_functions(*func_list):
"""
Referenes:
https://mathieularose.com/function-composition-in-python/
"""
def apply_composition(f, g):
def compose(x):
return f(g(x))
return compose
composed_func = functools.reduce(apply_composition, func_list)
return composed_func | [
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Referenes:
https://mathieularose.com/function-composition-in-python/
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Referenes:
https://mathieularose.com/function-composition-in-python/
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kgaughan/dbkit | dbkit.py | Context.execute_proc | def execute_proc(self, procname, args):
"""
Execute a stored procedure, returning a cursor. For internal use
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"""
self.logger(procname, args)
with self.cursor() as cursor:
cursor.callproc(procname, args)
return cursor | python | def execute_proc(self, procname, args):
"""
Execute a stored procedure, returning a cursor. For internal use
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cursor.callproc(procname, args)
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Execute a stored procedure, returning a cursor. For internal use
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### Response:
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geronimp/graftM | graftm/archive.py | Archive._setup_output | def _setup_output(self, path, force):
'''Clear the way for an output to be placed at path'''
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shutil.rmtree(path)
else:
raise Exception("Cowardly refusing to overwrite already existing path at %s" % path) | python | def _setup_output(self, path, force):
'''Clear the way for an output to be placed at path'''
# Allow for special case of output being a pipe
if os.path.isdir(path) or os.path.isfile(path):
if force:
logging.warn("Deleting previous file/directory '%s'" % path)
if os.path.isfile(path):
os.remove(path)
else:
shutil.rmtree(path)
else:
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Clear the way for an output to be placed at path
### Response:
def _setup_output(self, path, force):
'''Clear the way for an output to be placed at path'''
# Allow for special case of output being a pipe
if os.path.isdir(path) or os.path.isfile(path):
if force:
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if os.path.isfile(path):
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Args:
configuration (str): Configuration file content.
Returns:
str: Updated configuration.
"""
for key, val in REQUIRED_SETTINGS.items():
if val in ["$username", "$groupname"]:
val = get_username()
configuration = conf_writer.add_or_update(configuration, key, val)
return configuration | python | def update_configuration(configuration):
"""
Set all configuration specified in :attr:`REQUIRED_SETTINGS`.
Args:
configuration (str): Configuration file content.
Returns:
str: Updated configuration.
"""
for key, val in REQUIRED_SETTINGS.items():
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Set all configuration specified in :attr:`REQUIRED_SETTINGS`.
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3ll3d00d/vibe | backend/src/analyser/common/measurementcontroller.py | ActiveMeasurement.overlapsWith | def overlapsWith(self, targetStartTime, duration):
"""
Tests if the given times overlap with this measurement.
:param targetStartTime: the target start time.
:param duration: the duration
:return: true if the given times overlap with this measurement.
"""
targetEndTime = targetStartTime + datetime.timedelta(days=0, seconds=duration)
return (self.startTime <= targetStartTime <= self.endTime) \
or (targetStartTime <= self.startTime <= targetEndTime) | python | def overlapsWith(self, targetStartTime, duration):
"""
Tests if the given times overlap with this measurement.
:param targetStartTime: the target start time.
:param duration: the duration
:return: true if the given times overlap with this measurement.
"""
targetEndTime = targetStartTime + datetime.timedelta(days=0, seconds=duration)
return (self.startTime <= targetStartTime <= self.endTime) \
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You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Tests if the given times overlap with this measurement.
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:param duration: the duration
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OnroerendErfgoed/crabpy | crabpy/gateway/crab.py | check_lazy_load_subadres | def check_lazy_load_subadres(f):
'''
Decorator function to lazy load a :class:`Subadres`.
'''
def wrapper(*args):
subadres = args[0]
if (
subadres._metadata is None or
subadres.aard_id is None or
subadres.huisnummer_id is None
):
log.debug('Lazy loading Subadres %d', subadres.id)
subadres.check_gateway()
s = subadres.gateway.get_subadres_by_id(subadres.id)
subadres._metadata = s._metadata
subadres.aard_id = s.aard_id
subadres.huisnummer_id = s.huisnummer_id
return f(*args)
return wrapper | python | def check_lazy_load_subadres(f):
'''
Decorator function to lazy load a :class:`Subadres`.
'''
def wrapper(*args):
subadres = args[0]
if (
subadres._metadata is None or
subadres.aard_id is None or
subadres.huisnummer_id is None
):
log.debug('Lazy loading Subadres %d', subadres.id)
subadres.check_gateway()
s = subadres.gateway.get_subadres_by_id(subadres.id)
subadres._metadata = s._metadata
subadres.aard_id = s.aard_id
subadres.huisnummer_id = s.huisnummer_id
return f(*args)
return wrapper | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Decorator function to lazy load a :class:`Subadres`.
### Response:
def check_lazy_load_subadres(f):
'''
Decorator function to lazy load a :class:`Subadres`.
'''
def wrapper(*args):
subadres = args[0]
if (
subadres._metadata is None or
subadres.aard_id is None or
subadres.huisnummer_id is None
):
log.debug('Lazy loading Subadres %d', subadres.id)
subadres.check_gateway()
s = subadres.gateway.get_subadres_by_id(subadres.id)
subadres._metadata = s._metadata
subadres.aard_id = s.aard_id
subadres.huisnummer_id = s.huisnummer_id
return f(*args)
return wrapper
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dranjan/python-plyfile | plyfile.py | PlyData.header | def header(self):
'''
Provide PLY-formatted metadata for the instance.
'''
lines = ['ply']
if self.text:
lines.append('format ascii 1.0')
else:
lines.append('format ' +
_byte_order_reverse[self.byte_order] +
' 1.0')
# Some information is lost here, since all comments are placed
# between the 'format' line and the first element.
for c in self.comments:
lines.append('comment ' + c)
for c in self.obj_info:
lines.append('obj_info ' + c)
lines.extend(elt.header for elt in self.elements)
lines.append('end_header')
return '\n'.join(lines) | python | def header(self):
'''
Provide PLY-formatted metadata for the instance.
'''
lines = ['ply']
if self.text:
lines.append('format ascii 1.0')
else:
lines.append('format ' +
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' 1.0')
# Some information is lost here, since all comments are placed
# between the 'format' line and the first element.
for c in self.comments:
lines.append('comment ' + c)
for c in self.obj_info:
lines.append('obj_info ' + c)
lines.extend(elt.header for elt in self.elements)
lines.append('end_header')
return '\n'.join(lines) | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Provide PLY-formatted metadata for the instance.
### Response:
def header(self):
'''
Provide PLY-formatted metadata for the instance.
'''
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for c in self.comments:
lines.append('comment ' + c)
for c in self.obj_info:
lines.append('obj_info ' + c)
lines.extend(elt.header for elt in self.elements)
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meejah/txtorcon | txtorcon/endpoints.py | get_global_tor_instance | def get_global_tor_instance(reactor,
control_port=None,
progress_updates=None,
_tor_launcher=None):
"""
Normal users shouldn't need to call this; use
TCPHiddenServiceEndpoint::system_tor instead.
:return Tor: a 'global to this Python process' instance of
Tor. There isn't one of these until the first time this method
is called. All calls to this method return the same instance.
"""
global _global_tor
global _global_tor_lock
yield _global_tor_lock.acquire()
if _tor_launcher is None:
# XXX :( mutual dependencies...really get_global_tor_instance
# should be in controller.py if it's going to return a Tor
# instance.
from .controller import launch
_tor_launcher = launch
try:
if _global_tor is None:
_global_tor = yield _tor_launcher(reactor, progress_updates=progress_updates)
else:
config = yield _global_tor.get_config()
already_port = config.ControlPort
if control_port is not None and control_port != already_port:
raise RuntimeError(
"ControlPort is already '{}', but you wanted '{}'",
already_port,
control_port,
)
defer.returnValue(_global_tor)
finally:
_global_tor_lock.release() | python | def get_global_tor_instance(reactor,
control_port=None,
progress_updates=None,
_tor_launcher=None):
"""
Normal users shouldn't need to call this; use
TCPHiddenServiceEndpoint::system_tor instead.
:return Tor: a 'global to this Python process' instance of
Tor. There isn't one of these until the first time this method
is called. All calls to this method return the same instance.
"""
global _global_tor
global _global_tor_lock
yield _global_tor_lock.acquire()
if _tor_launcher is None:
# XXX :( mutual dependencies...really get_global_tor_instance
# should be in controller.py if it's going to return a Tor
# instance.
from .controller import launch
_tor_launcher = launch
try:
if _global_tor is None:
_global_tor = yield _tor_launcher(reactor, progress_updates=progress_updates)
else:
config = yield _global_tor.get_config()
already_port = config.ControlPort
if control_port is not None and control_port != already_port:
raise RuntimeError(
"ControlPort is already '{}', but you wanted '{}'",
already_port,
control_port,
)
defer.returnValue(_global_tor)
finally:
_global_tor_lock.release() | [
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] | train | https://github.com/meejah/txtorcon/blob/14053b95adf0b4bd9dd9c317bece912a26578a93/txtorcon/endpoints.py#L66-L105 | <|startoftext|>
### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Normal users shouldn't need to call this; use
TCPHiddenServiceEndpoint::system_tor instead.
:return Tor: a 'global to this Python process' instance of
Tor. There isn't one of these until the first time this method
is called. All calls to this method return the same instance.
### Response:
def get_global_tor_instance(reactor,
control_port=None,
progress_updates=None,
_tor_launcher=None):
"""
Normal users shouldn't need to call this; use
TCPHiddenServiceEndpoint::system_tor instead.
:return Tor: a 'global to this Python process' instance of
Tor. There isn't one of these until the first time this method
is called. All calls to this method return the same instance.
"""
global _global_tor
global _global_tor_lock
yield _global_tor_lock.acquire()
if _tor_launcher is None:
# XXX :( mutual dependencies...really get_global_tor_instance
# should be in controller.py if it's going to return a Tor
# instance.
from .controller import launch
_tor_launcher = launch
try:
if _global_tor is None:
_global_tor = yield _tor_launcher(reactor, progress_updates=progress_updates)
else:
config = yield _global_tor.get_config()
already_port = config.ControlPort
if control_port is not None and control_port != already_port:
raise RuntimeError(
"ControlPort is already '{}', but you wanted '{}'",
already_port,
control_port,
)
defer.returnValue(_global_tor)
finally:
_global_tor_lock.release()
<|endoftext|> | [
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UCSBarchlab/PyRTL | pyrtl/analysis/estimate.py | area_estimation | def area_estimation(tech_in_nm=130, block=None):
""" Estimates the total area of the block.
:param tech_in_nm: the size of the circuit technology to be estimated
(for example, 65 is 65nm and 250 is 0.25um)
:return: tuple of estimated areas (logic, mem) in terms of mm^2
The estimations are based off of 130nm stdcell designs for the logic, and
custom memory blocks from the literature. The results are not fully validated
and we do not recommend that this function be used in carrying out science for
publication.
"""
def mem_area_estimate(tech_in_nm, bits, ports, is_rom):
# http://www.cs.ucsb.edu/~sherwood/pubs/ICCD-srammodel.pdf
# ROM is assumed to be 1/10th of area of SRAM
tech_in_um = tech_in_nm / 1000.0
area_estimate = 0.001 * tech_in_um**2.07 * bits**0.9 * ports**0.7 + 0.0048
return area_estimate if not is_rom else area_estimate / 10.0
# Subset of the raw data gathered from yosys, mapping to vsclib 130nm library
# Width Adder_Area Mult_Area (area in "tracks" as discussed below)
# 8 211 2684
# 16 495 12742
# 32 1110 49319
# 64 2397 199175
# 128 4966 749828
def adder_stdcell_estimate(width):
return width * 34.4 - 25.8
def multiplier_stdcell_estimate(width):
if width == 1:
return 5
elif width == 2:
return 39
elif width == 3:
return 219
else:
return -958 + (150 * width) + (45 * width**2)
def stdcell_estimate(net):
if net.op in 'w~sc':
return 0
elif net.op in '&|n':
return 40/8.0 * len(net.args[0]) # 40 lambda
elif net.op in '^=<>x':
return 80/8.0 * len(net.args[0]) # 80 lambda
elif net.op == 'r':
return 144/8.0 * len(net.args[0]) # 144 lambda
elif net.op in '+-':
return adder_stdcell_estimate(len(net.args[0]))
elif net.op == '*':
return multiplier_stdcell_estimate(len(net.args[0]))
elif net.op in 'm@':
return 0 # memories handled elsewhere
else:
raise PyrtlInternalError('Unable to estimate the following net '
'due to unimplemented op :\n%s' % str(net))
block = working_block(block)
# The functions above were gathered and calibrated by mapping
# reference designs to an openly available 130nm stdcell library.
# http://www.vlsitechnology.org/html/vsc_description.html
# http://www.vlsitechnology.org/html/cells/vsclib013/lib_gif_index.html
# In a standard cell design, each gate takes up a length of standard "track"
# in the chip. The functions above return that length for each of the different
# types of functions in the units of "tracks". In the 130nm process used,
# 1 lambda is 55nm, and 1 track is 8 lambda.
# first, sum up the area of all of the logic elements (including registers)
total_tracks = sum(stdcell_estimate(a_net) for a_net in block.logic)
total_length_in_nm = total_tracks * 8 * 55
# each track is then 72 lambda tall, and converted from nm2 to mm2
area_in_mm2_for_130nm = (total_length_in_nm * (72 * 55)) / 1e12
# scaling from 130nm to the target tech
logic_area = area_in_mm2_for_130nm / (130.0/tech_in_nm)**2
# now sum up the area of the memories
mem_area = 0
for mem in set(net.op_param[1] for net in block.logic_subset('@m')):
bits, ports, is_rom = _bits_ports_and_isrom_from_memory(mem)
mem_area += mem_area_estimate(tech_in_nm, bits, ports, is_rom)
return logic_area, mem_area | python | def area_estimation(tech_in_nm=130, block=None):
""" Estimates the total area of the block.
:param tech_in_nm: the size of the circuit technology to be estimated
(for example, 65 is 65nm and 250 is 0.25um)
:return: tuple of estimated areas (logic, mem) in terms of mm^2
The estimations are based off of 130nm stdcell designs for the logic, and
custom memory blocks from the literature. The results are not fully validated
and we do not recommend that this function be used in carrying out science for
publication.
"""
def mem_area_estimate(tech_in_nm, bits, ports, is_rom):
# http://www.cs.ucsb.edu/~sherwood/pubs/ICCD-srammodel.pdf
# ROM is assumed to be 1/10th of area of SRAM
tech_in_um = tech_in_nm / 1000.0
area_estimate = 0.001 * tech_in_um**2.07 * bits**0.9 * ports**0.7 + 0.0048
return area_estimate if not is_rom else area_estimate / 10.0
# Subset of the raw data gathered from yosys, mapping to vsclib 130nm library
# Width Adder_Area Mult_Area (area in "tracks" as discussed below)
# 8 211 2684
# 16 495 12742
# 32 1110 49319
# 64 2397 199175
# 128 4966 749828
def adder_stdcell_estimate(width):
return width * 34.4 - 25.8
def multiplier_stdcell_estimate(width):
if width == 1:
return 5
elif width == 2:
return 39
elif width == 3:
return 219
else:
return -958 + (150 * width) + (45 * width**2)
def stdcell_estimate(net):
if net.op in 'w~sc':
return 0
elif net.op in '&|n':
return 40/8.0 * len(net.args[0]) # 40 lambda
elif net.op in '^=<>x':
return 80/8.0 * len(net.args[0]) # 80 lambda
elif net.op == 'r':
return 144/8.0 * len(net.args[0]) # 144 lambda
elif net.op in '+-':
return adder_stdcell_estimate(len(net.args[0]))
elif net.op == '*':
return multiplier_stdcell_estimate(len(net.args[0]))
elif net.op in 'm@':
return 0 # memories handled elsewhere
else:
raise PyrtlInternalError('Unable to estimate the following net '
'due to unimplemented op :\n%s' % str(net))
block = working_block(block)
# The functions above were gathered and calibrated by mapping
# reference designs to an openly available 130nm stdcell library.
# http://www.vlsitechnology.org/html/vsc_description.html
# http://www.vlsitechnology.org/html/cells/vsclib013/lib_gif_index.html
# In a standard cell design, each gate takes up a length of standard "track"
# in the chip. The functions above return that length for each of the different
# types of functions in the units of "tracks". In the 130nm process used,
# 1 lambda is 55nm, and 1 track is 8 lambda.
# first, sum up the area of all of the logic elements (including registers)
total_tracks = sum(stdcell_estimate(a_net) for a_net in block.logic)
total_length_in_nm = total_tracks * 8 * 55
# each track is then 72 lambda tall, and converted from nm2 to mm2
area_in_mm2_for_130nm = (total_length_in_nm * (72 * 55)) / 1e12
# scaling from 130nm to the target tech
logic_area = area_in_mm2_for_130nm / (130.0/tech_in_nm)**2
# now sum up the area of the memories
mem_area = 0
for mem in set(net.op_param[1] for net in block.logic_subset('@m')):
bits, ports, is_rom = _bits_ports_and_isrom_from_memory(mem)
mem_area += mem_area_estimate(tech_in_nm, bits, ports, is_rom)
return logic_area, mem_area | [
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] | Estimates the total area of the block.
:param tech_in_nm: the size of the circuit technology to be estimated
(for example, 65 is 65nm and 250 is 0.25um)
:return: tuple of estimated areas (logic, mem) in terms of mm^2
The estimations are based off of 130nm stdcell designs for the logic, and
custom memory blocks from the literature. The results are not fully validated
and we do not recommend that this function be used in carrying out science for
publication. | [
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] | train | https://github.com/UCSBarchlab/PyRTL/blob/0988e5c9c10ededd5e1f58d5306603f9edf4b3e2/pyrtl/analysis/estimate.py#L29-L116 | <|startoftext|>
### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Estimates the total area of the block.
:param tech_in_nm: the size of the circuit technology to be estimated
(for example, 65 is 65nm and 250 is 0.25um)
:return: tuple of estimated areas (logic, mem) in terms of mm^2
The estimations are based off of 130nm stdcell designs for the logic, and
custom memory blocks from the literature. The results are not fully validated
and we do not recommend that this function be used in carrying out science for
publication.
### Response:
def area_estimation(tech_in_nm=130, block=None):
""" Estimates the total area of the block.
:param tech_in_nm: the size of the circuit technology to be estimated
(for example, 65 is 65nm and 250 is 0.25um)
:return: tuple of estimated areas (logic, mem) in terms of mm^2
The estimations are based off of 130nm stdcell designs for the logic, and
custom memory blocks from the literature. The results are not fully validated
and we do not recommend that this function be used in carrying out science for
publication.
"""
def mem_area_estimate(tech_in_nm, bits, ports, is_rom):
# http://www.cs.ucsb.edu/~sherwood/pubs/ICCD-srammodel.pdf
# ROM is assumed to be 1/10th of area of SRAM
tech_in_um = tech_in_nm / 1000.0
area_estimate = 0.001 * tech_in_um**2.07 * bits**0.9 * ports**0.7 + 0.0048
return area_estimate if not is_rom else area_estimate / 10.0
# Subset of the raw data gathered from yosys, mapping to vsclib 130nm library
# Width Adder_Area Mult_Area (area in "tracks" as discussed below)
# 8 211 2684
# 16 495 12742
# 32 1110 49319
# 64 2397 199175
# 128 4966 749828
def adder_stdcell_estimate(width):
return width * 34.4 - 25.8
def multiplier_stdcell_estimate(width):
if width == 1:
return 5
elif width == 2:
return 39
elif width == 3:
return 219
else:
return -958 + (150 * width) + (45 * width**2)
def stdcell_estimate(net):
if net.op in 'w~sc':
return 0
elif net.op in '&|n':
return 40/8.0 * len(net.args[0]) # 40 lambda
elif net.op in '^=<>x':
return 80/8.0 * len(net.args[0]) # 80 lambda
elif net.op == 'r':
return 144/8.0 * len(net.args[0]) # 144 lambda
elif net.op in '+-':
return adder_stdcell_estimate(len(net.args[0]))
elif net.op == '*':
return multiplier_stdcell_estimate(len(net.args[0]))
elif net.op in 'm@':
return 0 # memories handled elsewhere
else:
raise PyrtlInternalError('Unable to estimate the following net '
'due to unimplemented op :\n%s' % str(net))
block = working_block(block)
# The functions above were gathered and calibrated by mapping
# reference designs to an openly available 130nm stdcell library.
# http://www.vlsitechnology.org/html/vsc_description.html
# http://www.vlsitechnology.org/html/cells/vsclib013/lib_gif_index.html
# In a standard cell design, each gate takes up a length of standard "track"
# in the chip. The functions above return that length for each of the different
# types of functions in the units of "tracks". In the 130nm process used,
# 1 lambda is 55nm, and 1 track is 8 lambda.
# first, sum up the area of all of the logic elements (including registers)
total_tracks = sum(stdcell_estimate(a_net) for a_net in block.logic)
total_length_in_nm = total_tracks * 8 * 55
# each track is then 72 lambda tall, and converted from nm2 to mm2
area_in_mm2_for_130nm = (total_length_in_nm * (72 * 55)) / 1e12
# scaling from 130nm to the target tech
logic_area = area_in_mm2_for_130nm / (130.0/tech_in_nm)**2
# now sum up the area of the memories
mem_area = 0
for mem in set(net.op_param[1] for net in block.logic_subset('@m')):
bits, ports, is_rom = _bits_ports_and_isrom_from_memory(mem)
mem_area += mem_area_estimate(tech_in_nm, bits, ports, is_rom)
return logic_area, mem_area
<|endoftext|> | [
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"""Returns the weighted average of two values and handles the case where
one value is None. If both values are None, None is returned.
"""
if value1 is None:
return value2
if value2 is None:
return value1
return value2 * weight + value1 * (1 - weight) | python | def _avg(value1, value2, weight):
"""Returns the weighted average of two values and handles the case where
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if value2 is None:
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Returns the weighted average of two values and handles the case where
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missing = object()
result = object.__new__(self.__class__)
for name in self.__slots__:
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if val is not missing:
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return result | python | def copy(self):
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missing = object()
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You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
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ambitioninc/newrelic-api | newrelic_api/alert_conditions_infra.py | AlertConditionsInfra.list | def list(self, policy_id, limit=None, offset=None):
"""
This API endpoint returns a paginated list of alert conditions for infrastucture
metrics associated with the given policy_id.
:type policy_id: int
:param policy_id: Alert policy id
:type limit: string
:param limit: Max amount of results to return
:type offset: string
:param offset: Starting record to return
:rtype: dict
:return: The JSON response of the API, with an additional 'pages' key
if there are paginated results
::
{
"data": [
{
"id": "integer",
"policy_id": "integer",
"type": "string",
"name": "string",
"enabled": "boolean",
"where_clause": "string",
"comparison": "string",
"filter": "hash",
"critical_threshold": "hash",
"process_where_clause": "string",
"created_at_epoch_millis": "time",
"updated_at_epoch_millis": "time"
}
],
"meta": {
"limit": "integer",
"offset": "integer",
"total": "integer"
}
}
"""
filters = [
'policy_id={0}'.format(policy_id),
'limit={0}'.format(limit) if limit else '50',
'offset={0}'.format(offset) if offset else '0'
]
return self._get(
url='{0}alerts/conditions'.format(self.URL),
headers=self.headers,
params=self.build_param_string(filters)
) | python | def list(self, policy_id, limit=None, offset=None):
"""
This API endpoint returns a paginated list of alert conditions for infrastucture
metrics associated with the given policy_id.
:type policy_id: int
:param policy_id: Alert policy id
:type limit: string
:param limit: Max amount of results to return
:type offset: string
:param offset: Starting record to return
:rtype: dict
:return: The JSON response of the API, with an additional 'pages' key
if there are paginated results
::
{
"data": [
{
"id": "integer",
"policy_id": "integer",
"type": "string",
"name": "string",
"enabled": "boolean",
"where_clause": "string",
"comparison": "string",
"filter": "hash",
"critical_threshold": "hash",
"process_where_clause": "string",
"created_at_epoch_millis": "time",
"updated_at_epoch_millis": "time"
}
],
"meta": {
"limit": "integer",
"offset": "integer",
"total": "integer"
}
}
"""
filters = [
'policy_id={0}'.format(policy_id),
'limit={0}'.format(limit) if limit else '50',
'offset={0}'.format(offset) if offset else '0'
]
return self._get(
url='{0}alerts/conditions'.format(self.URL),
headers=self.headers,
params=self.build_param_string(filters)
) | [
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metrics associated with the given policy_id.
:type policy_id: int
:param policy_id: Alert policy id
:type limit: string
:param limit: Max amount of results to return
:type offset: string
:param offset: Starting record to return
:rtype: dict
:return: The JSON response of the API, with an additional 'pages' key
if there are paginated results
::
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{
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"name": "string",
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"offset": "integer",
"total": "integer"
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
This API endpoint returns a paginated list of alert conditions for infrastucture
metrics associated with the given policy_id.
:type policy_id: int
:param policy_id: Alert policy id
:type limit: string
:param limit: Max amount of results to return
:type offset: string
:param offset: Starting record to return
:rtype: dict
:return: The JSON response of the API, with an additional 'pages' key
if there are paginated results
::
{
"data": [
{
"id": "integer",
"policy_id": "integer",
"type": "string",
"name": "string",
"enabled": "boolean",
"where_clause": "string",
"comparison": "string",
"filter": "hash",
"critical_threshold": "hash",
"process_where_clause": "string",
"created_at_epoch_millis": "time",
"updated_at_epoch_millis": "time"
}
],
"meta": {
"limit": "integer",
"offset": "integer",
"total": "integer"
}
}
### Response:
def list(self, policy_id, limit=None, offset=None):
"""
This API endpoint returns a paginated list of alert conditions for infrastucture
metrics associated with the given policy_id.
:type policy_id: int
:param policy_id: Alert policy id
:type limit: string
:param limit: Max amount of results to return
:type offset: string
:param offset: Starting record to return
:rtype: dict
:return: The JSON response of the API, with an additional 'pages' key
if there are paginated results
::
{
"data": [
{
"id": "integer",
"policy_id": "integer",
"type": "string",
"name": "string",
"enabled": "boolean",
"where_clause": "string",
"comparison": "string",
"filter": "hash",
"critical_threshold": "hash",
"process_where_clause": "string",
"created_at_epoch_millis": "time",
"updated_at_epoch_millis": "time"
}
],
"meta": {
"limit": "integer",
"offset": "integer",
"total": "integer"
}
}
"""
filters = [
'policy_id={0}'.format(policy_id),
'limit={0}'.format(limit) if limit else '50',
'offset={0}'.format(offset) if offset else '0'
]
return self._get(
url='{0}alerts/conditions'.format(self.URL),
headers=self.headers,
params=self.build_param_string(filters)
)
<|endoftext|> | [
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kevinconway/confpy | confpy/core/namespace.py | Namespace.register | def register(self, name, option):
"""Register a new option with the namespace.
Args:
name (str): The name to register the option under.
option (option.Option): The option object to register.
Raises:
TypeError: If the option is not an option.Option object.
ValueError: If the name is already registered.
"""
if name in self._options:
raise ValueError("Option {0} already exists.".format(name))
if not isinstance(option, opt.Option):
raise TypeError("Options must be of type Option.")
self._options[name] = option | python | def register(self, name, option):
"""Register a new option with the namespace.
Args:
name (str): The name to register the option under.
option (option.Option): The option object to register.
Raises:
TypeError: If the option is not an option.Option object.
ValueError: If the name is already registered.
"""
if name in self._options:
raise ValueError("Option {0} already exists.".format(name))
if not isinstance(option, opt.Option):
raise TypeError("Options must be of type Option.")
self._options[name] = option | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Register a new option with the namespace.
Args:
name (str): The name to register the option under.
option (option.Option): The option object to register.
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TypeError: If the option is not an option.Option object.
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def register(self, name, option):
"""Register a new option with the namespace.
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name (str): The name to register the option under.
option (option.Option): The option object to register.
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TypeError: If the option is not an option.Option object.
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"""
if name in self._options:
raise ValueError("Option {0} already exists.".format(name))
if not isinstance(option, opt.Option):
raise TypeError("Options must be of type Option.")
self._options[name] = option
<|endoftext|> | [
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portfoliome/postpy | postpy/ddl.py | MaterializedView.create | def create(self, no_data=False):
"""Declare materalized view."""
if self.query:
ddl_statement = self.compile_create_as()
else:
ddl_statement = self.compile_create()
if no_data:
ddl_statement += '\nWITH NO DATA'
return ddl_statement, self.query_values | python | def create(self, no_data=False):
"""Declare materalized view."""
if self.query:
ddl_statement = self.compile_create_as()
else:
ddl_statement = self.compile_create()
if no_data:
ddl_statement += '\nWITH NO DATA'
return ddl_statement, self.query_values | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Declare materalized view.
### Response:
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# type: (bool) -> Iterator[Any]
"""
Yield the last value on every key list.
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yield values[-1] | python | def values(self, multi=False):
# type: (bool) -> Iterator[Any]
"""
Yield the last value on every key list.
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Yield the last value on every key list.
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wooga/play-deliver | playdeliver/inapp_product.py | upload | def upload(client, source_dir):
"""Upload inappproducts to play store."""
print('')
print('upload inappproducs')
print('---------------------')
products_folder = os.path.join(source_dir, 'products')
product_files = filter(os.path.isfile, list_dir_abspath(products_folder))
current_product_skus = map(lambda product: product['sku'], client.list_inappproducts())
print(current_product_skus)
for product_file in product_files:
with open(product_file) as product_file:
product = json.load(product_file)
#check if the product is new
sku = product['sku']
product['packageName'] = client.package_name
print(sku)
if sku in current_product_skus:
print("update product {0}".format(sku))
client.update_inappproduct(product, sku)
else:
print("create product {0}".format(sku))
client.insert_inappproduct(product) | python | def upload(client, source_dir):
"""Upload inappproducts to play store."""
print('')
print('upload inappproducs')
print('---------------------')
products_folder = os.path.join(source_dir, 'products')
product_files = filter(os.path.isfile, list_dir_abspath(products_folder))
current_product_skus = map(lambda product: product['sku'], client.list_inappproducts())
print(current_product_skus)
for product_file in product_files:
with open(product_file) as product_file:
product = json.load(product_file)
#check if the product is new
sku = product['sku']
product['packageName'] = client.package_name
print(sku)
if sku in current_product_skus:
print("update product {0}".format(sku))
client.update_inappproduct(product, sku)
else:
print("create product {0}".format(sku))
client.insert_inappproduct(product) | [
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] | train | https://github.com/wooga/play-deliver/blob/9de0f35376f5342720b3a90bd3ca296b1f3a3f4c/playdeliver/inapp_product.py#L7-L30 | <|startoftext|>
### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Upload inappproducts to play store.
### Response:
def upload(client, source_dir):
"""Upload inappproducts to play store."""
print('')
print('upload inappproducs')
print('---------------------')
products_folder = os.path.join(source_dir, 'products')
product_files = filter(os.path.isfile, list_dir_abspath(products_folder))
current_product_skus = map(lambda product: product['sku'], client.list_inappproducts())
print(current_product_skus)
for product_file in product_files:
with open(product_file) as product_file:
product = json.load(product_file)
#check if the product is new
sku = product['sku']
product['packageName'] = client.package_name
print(sku)
if sku in current_product_skus:
print("update product {0}".format(sku))
client.update_inappproduct(product, sku)
else:
print("create product {0}".format(sku))
client.insert_inappproduct(product)
<|endoftext|> | [
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spacetelescope/drizzlepac | drizzlepac/imageObject.py | baseImageObject._countEXT | def _countEXT(self,extname="SCI"):
""" Count the number of extensions in the file with the given name
(``EXTNAME``).
"""
count=0 #simple fits image
if (self._image['PRIMARY'].header["EXTEND"]):
for i,hdu in enumerate(self._image):
if i > 0:
hduExtname = False
if 'EXTNAME' in hdu.header:
self._image[i].extnum=i
self._image[i].extname=hdu.header["EXTNAME"]
hduExtname = True
if 'EXTVER' in hdu.header:
self._image[i].extver=hdu.header["EXTVER"]
else:
self._image[i].extver = 1
if ((extname is not None) and \
(hduExtname and (hdu.header["EXTNAME"] == extname))) \
or extname is None:
count=count+1
return count | python | def _countEXT(self,extname="SCI"):
""" Count the number of extensions in the file with the given name
(``EXTNAME``).
"""
count=0 #simple fits image
if (self._image['PRIMARY'].header["EXTEND"]):
for i,hdu in enumerate(self._image):
if i > 0:
hduExtname = False
if 'EXTNAME' in hdu.header:
self._image[i].extnum=i
self._image[i].extname=hdu.header["EXTNAME"]
hduExtname = True
if 'EXTVER' in hdu.header:
self._image[i].extver=hdu.header["EXTVER"]
else:
self._image[i].extver = 1
if ((extname is not None) and \
(hduExtname and (hdu.header["EXTNAME"] == extname))) \
or extname is None:
count=count+1
return count | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Count the number of extensions in the file with the given name
(``EXTNAME``).
### Response:
def _countEXT(self,extname="SCI"):
""" Count the number of extensions in the file with the given name
(``EXTNAME``).
"""
count=0 #simple fits image
if (self._image['PRIMARY'].header["EXTEND"]):
for i,hdu in enumerate(self._image):
if i > 0:
hduExtname = False
if 'EXTNAME' in hdu.header:
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self._image[i].extname=hdu.header["EXTNAME"]
hduExtname = True
if 'EXTVER' in hdu.header:
self._image[i].extver=hdu.header["EXTVER"]
else:
self._image[i].extver = 1
if ((extname is not None) and \
(hduExtname and (hdu.header["EXTNAME"] == extname))) \
or extname is None:
count=count+1
return count
<|endoftext|> | [
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ev3dev/ev3dev-lang-python | ev3dev2/motor.py | MoveDifferential.on_to_coordinates | def on_to_coordinates(self, speed, x_target_mm, y_target_mm, brake=True, block=True):
"""
Drive to (`x_target_mm`, `y_target_mm`) coordinates at `speed`
"""
assert self.odometry_thread_id, "odometry_start() must be called to track robot coordinates"
# stop moving
self.off(brake='hold')
# rotate in place so we are pointed straight at our target
x_delta = x_target_mm - self.x_pos_mm
y_delta = y_target_mm - self.y_pos_mm
angle_target_radians = math.atan2(y_delta, x_delta)
angle_target_degrees = math.degrees(angle_target_radians)
self.turn_to_angle(speed, angle_target_degrees, brake=True, block=True)
# drive in a straight line to the target coordinates
distance_mm = math.sqrt(pow(self.x_pos_mm - x_target_mm, 2) + pow(self.y_pos_mm - y_target_mm, 2))
self.on_for_distance(speed, distance_mm, brake, block) | python | def on_to_coordinates(self, speed, x_target_mm, y_target_mm, brake=True, block=True):
"""
Drive to (`x_target_mm`, `y_target_mm`) coordinates at `speed`
"""
assert self.odometry_thread_id, "odometry_start() must be called to track robot coordinates"
# stop moving
self.off(brake='hold')
# rotate in place so we are pointed straight at our target
x_delta = x_target_mm - self.x_pos_mm
y_delta = y_target_mm - self.y_pos_mm
angle_target_radians = math.atan2(y_delta, x_delta)
angle_target_degrees = math.degrees(angle_target_radians)
self.turn_to_angle(speed, angle_target_degrees, brake=True, block=True)
# drive in a straight line to the target coordinates
distance_mm = math.sqrt(pow(self.x_pos_mm - x_target_mm, 2) + pow(self.y_pos_mm - y_target_mm, 2))
self.on_for_distance(speed, distance_mm, brake, block) | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Drive to (`x_target_mm`, `y_target_mm`) coordinates at `speed`
### Response:
def on_to_coordinates(self, speed, x_target_mm, y_target_mm, brake=True, block=True):
"""
Drive to (`x_target_mm`, `y_target_mm`) coordinates at `speed`
"""
assert self.odometry_thread_id, "odometry_start() must be called to track robot coordinates"
# stop moving
self.off(brake='hold')
# rotate in place so we are pointed straight at our target
x_delta = x_target_mm - self.x_pos_mm
y_delta = y_target_mm - self.y_pos_mm
angle_target_radians = math.atan2(y_delta, x_delta)
angle_target_degrees = math.degrees(angle_target_radians)
self.turn_to_angle(speed, angle_target_degrees, brake=True, block=True)
# drive in a straight line to the target coordinates
distance_mm = math.sqrt(pow(self.x_pos_mm - x_target_mm, 2) + pow(self.y_pos_mm - y_target_mm, 2))
self.on_for_distance(speed, distance_mm, brake, block)
<|endoftext|> | [
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Asana/python-asana | asana/resources/gen/attachments.py | _Attachments.find_by_id | def find_by_id(self, attachment, params={}, **options):
"""Returns the full record for a single attachment.
Parameters
----------
attachment : {Id} Globally unique identifier for the attachment.
[params] : {Object} Parameters for the request
"""
path = "/attachments/%s" % (attachment)
return self.client.get(path, params, **options) | python | def find_by_id(self, attachment, params={}, **options):
"""Returns the full record for a single attachment.
Parameters
----------
attachment : {Id} Globally unique identifier for the attachment.
[params] : {Object} Parameters for the request
"""
path = "/attachments/%s" % (attachment)
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You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
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ooici/elasticpy | elasticpy/search.py | ElasticSearch.search_simple | def search_simple(self, index,itype, key, search_term):
'''
ElasticSearch.search_simple(index,itype,key,search_term)
Usage:
> es = ElasticSearch()
> es.search_simple('twitter','users','name','kim')
'''
request = self.session
url = 'http://%s:%s/%s/%s/_search?q=%s:%s' % (self.host,self.port,index,itype,key,search_term)
response = request.get(url)
return response | python | def search_simple(self, index,itype, key, search_term):
'''
ElasticSearch.search_simple(index,itype,key,search_term)
Usage:
> es = ElasticSearch()
> es.search_simple('twitter','users','name','kim')
'''
request = self.session
url = 'http://%s:%s/%s/%s/_search?q=%s:%s' % (self.host,self.port,index,itype,key,search_term)
response = request.get(url)
return response | [
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enricobacis/wos | wos/utils.py | doi_to_wos | def doi_to_wos(wosclient, doi):
"""Convert DOI to WOS identifier."""
results = query(wosclient, 'DO="%s"' % doi, './REC/UID', count=1)
return results[0].lstrip('WOS:') if results else None | python | def doi_to_wos(wosclient, doi):
"""Convert DOI to WOS identifier."""
results = query(wosclient, 'DO="%s"' % doi, './REC/UID', count=1)
return results[0].lstrip('WOS:') if results else None | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Convert DOI to WOS identifier.
### Response:
def doi_to_wos(wosclient, doi):
"""Convert DOI to WOS identifier."""
results = query(wosclient, 'DO="%s"' % doi, './REC/UID', count=1)
return results[0].lstrip('WOS:') if results else None
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openstack/networking-cisco | networking_cisco/apps/saf/server/services/firewall/native/fabric_setup_base.py | FabricBase._delete_dummy_intf_rtr | def _delete_dummy_intf_rtr(self, tenant_id, tenant_name, rtr_id):
"""Function to delete a dummy interface of a router. """
dummy_router_dict = self.get_dummy_router_net(tenant_id)
ret = self.delete_os_dummy_rtr_nwk(dummy_router_dict.get('router_id'),
dummy_router_dict.get('net_id'),
dummy_router_dict.get('subnet_id'))
# Release the network DB entry
self.delete_network_db(dummy_router_dict.get('net_id'))
return ret | python | def _delete_dummy_intf_rtr(self, tenant_id, tenant_name, rtr_id):
"""Function to delete a dummy interface of a router. """
dummy_router_dict = self.get_dummy_router_net(tenant_id)
ret = self.delete_os_dummy_rtr_nwk(dummy_router_dict.get('router_id'),
dummy_router_dict.get('net_id'),
dummy_router_dict.get('subnet_id'))
# Release the network DB entry
self.delete_network_db(dummy_router_dict.get('net_id'))
return ret | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Function to delete a dummy interface of a router.
### Response:
def _delete_dummy_intf_rtr(self, tenant_id, tenant_name, rtr_id):
"""Function to delete a dummy interface of a router. """
dummy_router_dict = self.get_dummy_router_net(tenant_id)
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# Release the network DB entry
self.delete_network_db(dummy_router_dict.get('net_id'))
return ret
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SpamScope/mail-parser | mailparser/utils.py | decode_header_part | def decode_header_part(header):
"""
Given an raw header returns an decoded header
Args:
header (string): header to decode
Returns:
str (Python 3) or unicode (Python 2)
"""
if not header:
return six.text_type()
output = six.text_type()
try:
for d, c in decode_header(header):
c = c if c else 'utf-8'
output += ported_string(d, c, 'ignore')
# Header parsing failed, when header has charset Shift_JIS
except (HeaderParseError, UnicodeError):
log.error("Failed decoding header part: {}".format(header))
output += header
return output | python | def decode_header_part(header):
"""
Given an raw header returns an decoded header
Args:
header (string): header to decode
Returns:
str (Python 3) or unicode (Python 2)
"""
if not header:
return six.text_type()
output = six.text_type()
try:
for d, c in decode_header(header):
c = c if c else 'utf-8'
output += ported_string(d, c, 'ignore')
# Header parsing failed, when header has charset Shift_JIS
except (HeaderParseError, UnicodeError):
log.error("Failed decoding header part: {}".format(header))
output += header
return output | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Given an raw header returns an decoded header
Args:
header (string): header to decode
Returns:
str (Python 3) or unicode (Python 2)
### Response:
def decode_header_part(header):
"""
Given an raw header returns an decoded header
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header (string): header to decode
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str (Python 3) or unicode (Python 2)
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log.error("Failed decoding header part: {}".format(header))
output += header
return output
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quantumlib/Cirq | cirq/linalg/tolerance.py | all_near_zero_mod | def all_near_zero_mod(a: Union[float, complex, Iterable[float], np.ndarray],
period: float,
*,
atol: float = 1e-8) -> bool:
"""Checks if the tensor's elements are all near multiples of the period.
Args:
a: Tensor of elements that could all be near multiples of the period.
period: The period, e.g. 2 pi when working in radians.
atol: Absolute tolerance.
"""
b = (np.asarray(a) + period / 2) % period - period / 2
return np.all(np.less_equal(np.abs(b), atol)) | python | def all_near_zero_mod(a: Union[float, complex, Iterable[float], np.ndarray],
period: float,
*,
atol: float = 1e-8) -> bool:
"""Checks if the tensor's elements are all near multiples of the period.
Args:
a: Tensor of elements that could all be near multiples of the period.
period: The period, e.g. 2 pi when working in radians.
atol: Absolute tolerance.
"""
b = (np.asarray(a) + period / 2) % period - period / 2
return np.all(np.less_equal(np.abs(b), atol)) | [
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ccxt/ccxt | python/ccxt/base/exchange.py | Exchange.request | def request(self, path, api='public', method='GET', params={}, headers=None, body=None):
"""Exchange.request is the entry point for all generated methods"""
return self.fetch2(path, api, method, params, headers, body) | python | def request(self, path, api='public', method='GET', params={}, headers=None, body=None):
"""Exchange.request is the entry point for all generated methods"""
return self.fetch2(path, api, method, params, headers, body) | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Exchange.request is the entry point for all generated methods
### Response:
def request(self, path, api='public', method='GET', params={}, headers=None, body=None):
"""Exchange.request is the entry point for all generated methods"""
return self.fetch2(path, api, method, params, headers, body)
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joke2k/faker | faker/providers/ssn/et_EE/__init__.py | checksum | def checksum(digits):
"""Calculate checksum of Estonian personal identity code.
Checksum is calculated with "Modulo 11" method using level I or II scale:
Level I scale: 1 2 3 4 5 6 7 8 9 1
Level II scale: 3 4 5 6 7 8 9 1 2 3
The digits of the personal code are multiplied by level I scale and summed;
if remainder of modulo 11 of the sum is less than 10, checksum is the
remainder.
If remainder is 10, then level II scale is used; checksum is remainder if
remainder < 10 or 0 if remainder is 10.
See also https://et.wikipedia.org/wiki/Isikukood
"""
sum_mod11 = sum(map(operator.mul, digits, Provider.scale1)) % 11
if sum_mod11 < 10:
return sum_mod11
sum_mod11 = sum(map(operator.mul, digits, Provider.scale2)) % 11
return 0 if sum_mod11 == 10 else sum_mod11 | python | def checksum(digits):
"""Calculate checksum of Estonian personal identity code.
Checksum is calculated with "Modulo 11" method using level I or II scale:
Level I scale: 1 2 3 4 5 6 7 8 9 1
Level II scale: 3 4 5 6 7 8 9 1 2 3
The digits of the personal code are multiplied by level I scale and summed;
if remainder of modulo 11 of the sum is less than 10, checksum is the
remainder.
If remainder is 10, then level II scale is used; checksum is remainder if
remainder < 10 or 0 if remainder is 10.
See also https://et.wikipedia.org/wiki/Isikukood
"""
sum_mod11 = sum(map(operator.mul, digits, Provider.scale1)) % 11
if sum_mod11 < 10:
return sum_mod11
sum_mod11 = sum(map(operator.mul, digits, Provider.scale2)) % 11
return 0 if sum_mod11 == 10 else sum_mod11 | [
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Checksum is calculated with "Modulo 11" method using level I or II scale:
Level I scale: 1 2 3 4 5 6 7 8 9 1
Level II scale: 3 4 5 6 7 8 9 1 2 3
The digits of the personal code are multiplied by level I scale and summed;
if remainder of modulo 11 of the sum is less than 10, checksum is the
remainder.
If remainder is 10, then level II scale is used; checksum is remainder if
remainder < 10 or 0 if remainder is 10.
See also https://et.wikipedia.org/wiki/Isikukood | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Calculate checksum of Estonian personal identity code.
Checksum is calculated with "Modulo 11" method using level I or II scale:
Level I scale: 1 2 3 4 5 6 7 8 9 1
Level II scale: 3 4 5 6 7 8 9 1 2 3
The digits of the personal code are multiplied by level I scale and summed;
if remainder of modulo 11 of the sum is less than 10, checksum is the
remainder.
If remainder is 10, then level II scale is used; checksum is remainder if
remainder < 10 or 0 if remainder is 10.
See also https://et.wikipedia.org/wiki/Isikukood
### Response:
def checksum(digits):
"""Calculate checksum of Estonian personal identity code.
Checksum is calculated with "Modulo 11" method using level I or II scale:
Level I scale: 1 2 3 4 5 6 7 8 9 1
Level II scale: 3 4 5 6 7 8 9 1 2 3
The digits of the personal code are multiplied by level I scale and summed;
if remainder of modulo 11 of the sum is less than 10, checksum is the
remainder.
If remainder is 10, then level II scale is used; checksum is remainder if
remainder < 10 or 0 if remainder is 10.
See also https://et.wikipedia.org/wiki/Isikukood
"""
sum_mod11 = sum(map(operator.mul, digits, Provider.scale1)) % 11
if sum_mod11 < 10:
return sum_mod11
sum_mod11 = sum(map(operator.mul, digits, Provider.scale2)) % 11
return 0 if sum_mod11 == 10 else sum_mod11
<|endoftext|> | [
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neithere/monk | monk/shortcuts.py | one_of | def one_of(choices, first_is_default=False, as_rules=False):
"""
A wrapper for :class:`Any`.
:param as_rules:
`bool`. If `False` (by default), each element of `choices`
is wrapped in the :class:`Equals` validator so they are interpreted
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.. deprecated:: 0.13
Use :class:`Any` instead.
"""
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None # for coverage
else:
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return Any(choices, first_is_default=first_is_default) | python | def one_of(choices, first_is_default=False, as_rules=False):
"""
A wrapper for :class:`Any`.
:param as_rules:
`bool`. If `False` (by default), each element of `choices`
is wrapped in the :class:`Equals` validator so they are interpreted
as literals.
.. deprecated:: 0.13
Use :class:`Any` instead.
"""
assert choices
if as_rules:
None # for coverage
else:
choices = [Equals(x) for x in choices]
return Any(choices, first_is_default=first_is_default) | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
A wrapper for :class:`Any`.
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def one_of(choices, first_is_default=False, as_rules=False):
"""
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`bool`. If `False` (by default), each element of `choices`
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.. deprecated:: 0.13
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It is used when transferring data to other daemons over the network (http)
Here we directly return all attributes
:return: json representation of a Daterange
:rtype: dict
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return {'day': self.day, 'other': self.other,
'timeranges': [t.serialize() for t in self.timeranges]} | python | def serialize(self):
"""This function serialize into a simple dict object.
It is used when transferring data to other daemons over the network (http)
Here we directly return all attributes
:return: json representation of a Daterange
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mila/pyoo | pyoo.py | SpreadsheetDocument.sheets | def sheets(self):
"""
Collection of sheets in this document.
"""
# http://www.openoffice.org/api/docs/common/ref/com/sun/star/sheet/XSpreadsheetDocument.html#getSheets
try:
return self._sheets
except AttributeError:
target = self._target.getSheets()
self._sheets = SpreadsheetCollection(self, target)
return self._sheets | python | def sheets(self):
"""
Collection of sheets in this document.
"""
# http://www.openoffice.org/api/docs/common/ref/com/sun/star/sheet/XSpreadsheetDocument.html#getSheets
try:
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except AttributeError:
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self._sheets = SpreadsheetCollection(self, target)
return self._sheets | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Collection of sheets in this document.
### Response:
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jaraco/keyrings.alt | keyrings/alt/Windows.py | RegistryKeyring.set_password | def set_password(self, service, username, password):
"""Write the password to the registry
"""
# encrypt the password
password_encrypted = _win_crypto.encrypt(password.encode('utf-8'))
# encode with base64
password_base64 = base64.encodestring(password_encrypted)
# encode again to unicode
password_saved = password_base64.decode('ascii')
# store the password
key_name = self._key_for_service(service)
hkey = winreg.CreateKey(winreg.HKEY_CURRENT_USER, key_name)
winreg.SetValueEx(hkey, username, 0, winreg.REG_SZ, password_saved) | python | def set_password(self, service, username, password):
"""Write the password to the registry
"""
# encrypt the password
password_encrypted = _win_crypto.encrypt(password.encode('utf-8'))
# encode with base64
password_base64 = base64.encodestring(password_encrypted)
# encode again to unicode
password_saved = password_base64.decode('ascii')
# store the password
key_name = self._key_for_service(service)
hkey = winreg.CreateKey(winreg.HKEY_CURRENT_USER, key_name)
winreg.SetValueEx(hkey, username, 0, winreg.REG_SZ, password_saved) | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Write the password to the registry
### Response:
def set_password(self, service, username, password):
"""Write the password to the registry
"""
# encrypt the password
password_encrypted = _win_crypto.encrypt(password.encode('utf-8'))
# encode with base64
password_base64 = base64.encodestring(password_encrypted)
# encode again to unicode
password_saved = password_base64.decode('ascii')
# store the password
key_name = self._key_for_service(service)
hkey = winreg.CreateKey(winreg.HKEY_CURRENT_USER, key_name)
winreg.SetValueEx(hkey, username, 0, winreg.REG_SZ, password_saved)
<|endoftext|> | [
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hannes-brt/cudnn-python-wrappers | libcudnn.py | cudnnGetConvolution2dForwardOutputDim | def cudnnGetConvolution2dForwardOutputDim(convDesc, inputTensorDesc, wDesc):
""""
Return the dimensions of the output tensor given a convolution descriptor.
This function returns the dimensions of the resulting 4D tensor of a 2D
convolution, given the convolution descriptor, the input tensor descriptor and
the filter descriptor. This function can help to setup the output tensor and allocate
the proper amount of memory prior to launching the actual convolution.
Parameters
----------
convDesc : cudnnConvolutionDescriptor
Handle to a previously created convolution descriptor.
inputTensorDesc: cudnnTensorDescriptor
Handle to a previously initialized tensor descriptor.
wDesc: cudnnFilterDescriptor
Handle to a previously initialized filter descriptor.
Returns
-------
n : int
Number of output images.
c : int
Number of output feature maps per image.
h : int
Height of each output feature map.
w : int
Width of each output feature map.
"""
n = ctypes.c_int()
c = ctypes.c_int()
h = ctypes.c_int()
w = ctypes.c_int()
status = _libcudnn.cudnnGetConvolution2dForwardOutputDim(convDesc, inputTensorDesc,
wDesc, ctypes.byref(n),
ctypes.byref(c), ctypes.byref(h),
ctypes.byref(w))
cudnnCheckStatus(status)
return n.value, c.value, h.value, w.value | python | def cudnnGetConvolution2dForwardOutputDim(convDesc, inputTensorDesc, wDesc):
""""
Return the dimensions of the output tensor given a convolution descriptor.
This function returns the dimensions of the resulting 4D tensor of a 2D
convolution, given the convolution descriptor, the input tensor descriptor and
the filter descriptor. This function can help to setup the output tensor and allocate
the proper amount of memory prior to launching the actual convolution.
Parameters
----------
convDesc : cudnnConvolutionDescriptor
Handle to a previously created convolution descriptor.
inputTensorDesc: cudnnTensorDescriptor
Handle to a previously initialized tensor descriptor.
wDesc: cudnnFilterDescriptor
Handle to a previously initialized filter descriptor.
Returns
-------
n : int
Number of output images.
c : int
Number of output feature maps per image.
h : int
Height of each output feature map.
w : int
Width of each output feature map.
"""
n = ctypes.c_int()
c = ctypes.c_int()
h = ctypes.c_int()
w = ctypes.c_int()
status = _libcudnn.cudnnGetConvolution2dForwardOutputDim(convDesc, inputTensorDesc,
wDesc, ctypes.byref(n),
ctypes.byref(c), ctypes.byref(h),
ctypes.byref(w))
cudnnCheckStatus(status)
return n.value, c.value, h.value, w.value | [
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This function returns the dimensions of the resulting 4D tensor of a 2D
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the filter descriptor. This function can help to setup the output tensor and allocate
the proper amount of memory prior to launching the actual convolution.
Parameters
----------
convDesc : cudnnConvolutionDescriptor
Handle to a previously created convolution descriptor.
inputTensorDesc: cudnnTensorDescriptor
Handle to a previously initialized tensor descriptor.
wDesc: cudnnFilterDescriptor
Handle to a previously initialized filter descriptor.
Returns
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Number of output images.
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Number of output feature maps per image.
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Height of each output feature map.
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Return the dimensions of the output tensor given a convolution descriptor.
This function returns the dimensions of the resulting 4D tensor of a 2D
convolution, given the convolution descriptor, the input tensor descriptor and
the filter descriptor. This function can help to setup the output tensor and allocate
the proper amount of memory prior to launching the actual convolution.
Parameters
----------
convDesc : cudnnConvolutionDescriptor
Handle to a previously created convolution descriptor.
inputTensorDesc: cudnnTensorDescriptor
Handle to a previously initialized tensor descriptor.
wDesc: cudnnFilterDescriptor
Handle to a previously initialized filter descriptor.
Returns
-------
n : int
Number of output images.
c : int
Number of output feature maps per image.
h : int
Height of each output feature map.
w : int
Width of each output feature map.
### Response:
def cudnnGetConvolution2dForwardOutputDim(convDesc, inputTensorDesc, wDesc):
""""
Return the dimensions of the output tensor given a convolution descriptor.
This function returns the dimensions of the resulting 4D tensor of a 2D
convolution, given the convolution descriptor, the input tensor descriptor and
the filter descriptor. This function can help to setup the output tensor and allocate
the proper amount of memory prior to launching the actual convolution.
Parameters
----------
convDesc : cudnnConvolutionDescriptor
Handle to a previously created convolution descriptor.
inputTensorDesc: cudnnTensorDescriptor
Handle to a previously initialized tensor descriptor.
wDesc: cudnnFilterDescriptor
Handle to a previously initialized filter descriptor.
Returns
-------
n : int
Number of output images.
c : int
Number of output feature maps per image.
h : int
Height of each output feature map.
w : int
Width of each output feature map.
"""
n = ctypes.c_int()
c = ctypes.c_int()
h = ctypes.c_int()
w = ctypes.c_int()
status = _libcudnn.cudnnGetConvolution2dForwardOutputDim(convDesc, inputTensorDesc,
wDesc, ctypes.byref(n),
ctypes.byref(c), ctypes.byref(h),
ctypes.byref(w))
cudnnCheckStatus(status)
return n.value, c.value, h.value, w.value
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lionheart/django-pyodbc | django_pyodbc/operations.py | DatabaseOperations._switch_tz_offset_sql | def _switch_tz_offset_sql(self, field_name, tzname):
"""
Returns the SQL that will convert field_name to UTC from tzname.
"""
field_name = self.quote_name(field_name)
if settings.USE_TZ:
if pytz is None:
from django.core.exceptions import ImproperlyConfigured
raise ImproperlyConfigured("This query requires pytz, "
"but it isn't installed.")
tz = pytz.timezone(tzname)
td = tz.utcoffset(datetime.datetime(2000, 1, 1))
def total_seconds(td):
if hasattr(td, 'total_seconds'):
return td.total_seconds()
else:
return td.days * 24 * 60 * 60 + td.seconds
total_minutes = total_seconds(td) // 60
hours, minutes = divmod(total_minutes, 60)
tzoffset = "%+03d:%02d" % (hours, minutes)
field_name = "CAST(SWITCHOFFSET(TODATETIMEOFFSET(%s, '+00:00'), '%s') AS DATETIME2)" % (field_name, tzoffset)
return field_name | python | def _switch_tz_offset_sql(self, field_name, tzname):
"""
Returns the SQL that will convert field_name to UTC from tzname.
"""
field_name = self.quote_name(field_name)
if settings.USE_TZ:
if pytz is None:
from django.core.exceptions import ImproperlyConfigured
raise ImproperlyConfigured("This query requires pytz, "
"but it isn't installed.")
tz = pytz.timezone(tzname)
td = tz.utcoffset(datetime.datetime(2000, 1, 1))
def total_seconds(td):
if hasattr(td, 'total_seconds'):
return td.total_seconds()
else:
return td.days * 24 * 60 * 60 + td.seconds
total_minutes = total_seconds(td) // 60
hours, minutes = divmod(total_minutes, 60)
tzoffset = "%+03d:%02d" % (hours, minutes)
field_name = "CAST(SWITCHOFFSET(TODATETIMEOFFSET(%s, '+00:00'), '%s') AS DATETIME2)" % (field_name, tzoffset)
return field_name | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Returns the SQL that will convert field_name to UTC from tzname.
### Response:
def _switch_tz_offset_sql(self, field_name, tzname):
"""
Returns the SQL that will convert field_name to UTC from tzname.
"""
field_name = self.quote_name(field_name)
if settings.USE_TZ:
if pytz is None:
from django.core.exceptions import ImproperlyConfigured
raise ImproperlyConfigured("This query requires pytz, "
"but it isn't installed.")
tz = pytz.timezone(tzname)
td = tz.utcoffset(datetime.datetime(2000, 1, 1))
def total_seconds(td):
if hasattr(td, 'total_seconds'):
return td.total_seconds()
else:
return td.days * 24 * 60 * 60 + td.seconds
total_minutes = total_seconds(td) // 60
hours, minutes = divmod(total_minutes, 60)
tzoffset = "%+03d:%02d" % (hours, minutes)
field_name = "CAST(SWITCHOFFSET(TODATETIMEOFFSET(%s, '+00:00'), '%s') AS DATETIME2)" % (field_name, tzoffset)
return field_name
<|endoftext|> | [
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openid/JWTConnect-Python-CryptoJWT | src/cryptojwt/jwe/jwe_ec.py | JWE_EC.encrypt | def encrypt(self, key=None, iv="", cek="", **kwargs):
"""
Produces a JWE as defined in RFC7516 using an Elliptic curve key
:param key: *Not used>, only there to present the same API as
JWE_RSA and JWE_SYM
:param iv: Initialization vector
:param cek: Content master key
:param kwargs: Extra keyword arguments
:return: An encrypted JWT
"""
_msg = as_bytes(self.msg)
_args = self._dict
try:
_args["kid"] = kwargs["kid"]
except KeyError:
pass
if 'params' in kwargs:
if 'apu' in kwargs['params']:
_args['apu'] = kwargs['params']['apu']
if 'apv' in kwargs['params']:
_args['apv'] = kwargs['params']['apv']
if 'epk' in kwargs['params']:
_args['epk'] = kwargs['params']['epk']
jwe = JWEnc(**_args)
ctxt, tag, cek = super(JWE_EC, self).enc_setup(
self["enc"], _msg, auth_data=jwe.b64_encode_header(), key=cek,
iv=iv)
if 'encrypted_key' in kwargs:
return jwe.pack(parts=[kwargs['encrypted_key'], iv, ctxt, tag])
return jwe.pack(parts=[iv, ctxt, tag]) | python | def encrypt(self, key=None, iv="", cek="", **kwargs):
"""
Produces a JWE as defined in RFC7516 using an Elliptic curve key
:param key: *Not used>, only there to present the same API as
JWE_RSA and JWE_SYM
:param iv: Initialization vector
:param cek: Content master key
:param kwargs: Extra keyword arguments
:return: An encrypted JWT
"""
_msg = as_bytes(self.msg)
_args = self._dict
try:
_args["kid"] = kwargs["kid"]
except KeyError:
pass
if 'params' in kwargs:
if 'apu' in kwargs['params']:
_args['apu'] = kwargs['params']['apu']
if 'apv' in kwargs['params']:
_args['apv'] = kwargs['params']['apv']
if 'epk' in kwargs['params']:
_args['epk'] = kwargs['params']['epk']
jwe = JWEnc(**_args)
ctxt, tag, cek = super(JWE_EC, self).enc_setup(
self["enc"], _msg, auth_data=jwe.b64_encode_header(), key=cek,
iv=iv)
if 'encrypted_key' in kwargs:
return jwe.pack(parts=[kwargs['encrypted_key'], iv, ctxt, tag])
return jwe.pack(parts=[iv, ctxt, tag]) | [
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:param key: *Not used>, only there to present the same API as
JWE_RSA and JWE_SYM
:param iv: Initialization vector
:param cek: Content master key
:param kwargs: Extra keyword arguments
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Produces a JWE as defined in RFC7516 using an Elliptic curve key
:param key: *Not used>, only there to present the same API as
JWE_RSA and JWE_SYM
:param iv: Initialization vector
:param cek: Content master key
:param kwargs: Extra keyword arguments
:return: An encrypted JWT
### Response:
def encrypt(self, key=None, iv="", cek="", **kwargs):
"""
Produces a JWE as defined in RFC7516 using an Elliptic curve key
:param key: *Not used>, only there to present the same API as
JWE_RSA and JWE_SYM
:param iv: Initialization vector
:param cek: Content master key
:param kwargs: Extra keyword arguments
:return: An encrypted JWT
"""
_msg = as_bytes(self.msg)
_args = self._dict
try:
_args["kid"] = kwargs["kid"]
except KeyError:
pass
if 'params' in kwargs:
if 'apu' in kwargs['params']:
_args['apu'] = kwargs['params']['apu']
if 'apv' in kwargs['params']:
_args['apv'] = kwargs['params']['apv']
if 'epk' in kwargs['params']:
_args['epk'] = kwargs['params']['epk']
jwe = JWEnc(**_args)
ctxt, tag, cek = super(JWE_EC, self).enc_setup(
self["enc"], _msg, auth_data=jwe.b64_encode_header(), key=cek,
iv=iv)
if 'encrypted_key' in kwargs:
return jwe.pack(parts=[kwargs['encrypted_key'], iv, ctxt, tag])
return jwe.pack(parts=[iv, ctxt, tag])
<|endoftext|> | [
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Gr1N/copypaste | copypaste/unix.py | copy | def copy(string, cmd=copy_cmd, stdin=PIPE):
"""Copy given string into system clipboard.
"""
Popen(cmd, stdin=stdin).communicate(string.encode('utf-8')) | python | def copy(string, cmd=copy_cmd, stdin=PIPE):
"""Copy given string into system clipboard.
"""
Popen(cmd, stdin=stdin).communicate(string.encode('utf-8')) | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Copy given string into system clipboard.
### Response:
def copy(string, cmd=copy_cmd, stdin=PIPE):
"""Copy given string into system clipboard.
"""
Popen(cmd, stdin=stdin).communicate(string.encode('utf-8'))
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BeyondTheClouds/enoslib | docs/tutorials/grid5000/virt/tuto_grid5000_virt.py | range_mac | def range_mac(mac_start, mac_end, step=1):
"""Iterate over mac addresses (given as string)."""
start = int(EUI(mac_start))
end = int(EUI(mac_end))
for i_mac in range(start, end, step):
mac = EUI(int(EUI(i_mac)) + 1)
ip = ['10'] + [str(int(i, 2)) for i in mac.bits().split('-')[-3:]]
yield str(mac).replace('-', ':'), '.'.join(ip) | python | def range_mac(mac_start, mac_end, step=1):
"""Iterate over mac addresses (given as string)."""
start = int(EUI(mac_start))
end = int(EUI(mac_end))
for i_mac in range(start, end, step):
mac = EUI(int(EUI(i_mac)) + 1)
ip = ['10'] + [str(int(i, 2)) for i in mac.bits().split('-')[-3:]]
yield str(mac).replace('-', ':'), '.'.join(ip) | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Iterate over mac addresses (given as string).
### Response:
def range_mac(mac_start, mac_end, step=1):
"""Iterate over mac addresses (given as string)."""
start = int(EUI(mac_start))
end = int(EUI(mac_end))
for i_mac in range(start, end, step):
mac = EUI(int(EUI(i_mac)) + 1)
ip = ['10'] + [str(int(i, 2)) for i in mac.bits().split('-')[-3:]]
yield str(mac).replace('-', ':'), '.'.join(ip)
<|endoftext|> | [
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rodluger/everest | everest/basecamp.py | Basecamp.plot_aperture | def plot_aperture(self, axes, labelsize=8):
'''
Plots the aperture and the pixel images at the beginning, middle,
and end of the time series. Also plots a high resolution image of
the target, if available.
'''
log.info('Plotting the aperture...')
# Get colormap
plasma = pl.get_cmap('plasma')
plasma.set_bad(alpha=0)
# Get aperture contour
def PadWithZeros(vector, pad_width, iaxis, kwargs):
vector[:pad_width[0]] = 0
vector[-pad_width[1]:] = 0
return vector
ny, nx = self.pixel_images[0].shape
contour = np.zeros((ny, nx))
contour[np.where(self.aperture)] = 1
contour = np.lib.pad(contour, 1, PadWithZeros)
highres = zoom(contour, 100, order=0, mode='nearest')
extent = np.array([-1, nx, -1, ny])
# Plot first, mid, and last TPF image
title = ['start', 'mid', 'end']
for i, image in enumerate(self.pixel_images):
ax = axes[i]
ax.imshow(image, aspect='auto',
interpolation='nearest', cmap=plasma)
ax.contour(highres, levels=[0.5], extent=extent,
origin='lower', colors='r', linewidths=1)
# Check for saturated columns
for x in range(self.aperture.shape[0]):
for y in range(self.aperture.shape[1]):
if self.aperture[x][y] == AP_SATURATED_PIXEL:
ax.fill([y - 0.5, y + 0.5, y + 0.5, y - 0.5],
[x - 0.5, x - 0.5, x + 0.5, x + 0.5],
fill=False, hatch='xxxxx', color='r', lw=0)
ax.axis('off')
ax.set_xlim(-0.7, nx - 0.3)
ax.set_ylim(-0.7, ny - 0.3)
ax.annotate(title[i], xy=(0.5, 0.975), xycoords='axes fraction',
ha='center', va='top', size=labelsize, color='w')
if i == 1:
for source in self.nearby:
ax.annotate('%.1f' % source['mag'],
xy=(source['x'] - source['x0'],
source['y'] - source['y0']),
ha='center', va='center', size=labelsize - 2,
color='w', fontweight='bold')
# Plot hi res image
if self.hires is not None:
ax = axes[-1]
ax.imshow(self.hires, aspect='auto',
extent=(-0.5, nx - 0.5, -0.5, ny - 0.5),
interpolation='bicubic', cmap=plasma)
ax.contour(highres, levels=[0.5], extent=extent,
origin='lower', colors='r', linewidths=1)
ax.axis('off')
ax.set_xlim(-0.7, nx - 0.3)
ax.set_ylim(-0.7, ny - 0.3)
ax.annotate('hires', xy=(0.5, 0.975), xycoords='axes fraction',
ha='center', va='top', size=labelsize, color='w')
else:
ax = axes[-1]
ax.axis('off') | python | def plot_aperture(self, axes, labelsize=8):
'''
Plots the aperture and the pixel images at the beginning, middle,
and end of the time series. Also plots a high resolution image of
the target, if available.
'''
log.info('Plotting the aperture...')
# Get colormap
plasma = pl.get_cmap('plasma')
plasma.set_bad(alpha=0)
# Get aperture contour
def PadWithZeros(vector, pad_width, iaxis, kwargs):
vector[:pad_width[0]] = 0
vector[-pad_width[1]:] = 0
return vector
ny, nx = self.pixel_images[0].shape
contour = np.zeros((ny, nx))
contour[np.where(self.aperture)] = 1
contour = np.lib.pad(contour, 1, PadWithZeros)
highres = zoom(contour, 100, order=0, mode='nearest')
extent = np.array([-1, nx, -1, ny])
# Plot first, mid, and last TPF image
title = ['start', 'mid', 'end']
for i, image in enumerate(self.pixel_images):
ax = axes[i]
ax.imshow(image, aspect='auto',
interpolation='nearest', cmap=plasma)
ax.contour(highres, levels=[0.5], extent=extent,
origin='lower', colors='r', linewidths=1)
# Check for saturated columns
for x in range(self.aperture.shape[0]):
for y in range(self.aperture.shape[1]):
if self.aperture[x][y] == AP_SATURATED_PIXEL:
ax.fill([y - 0.5, y + 0.5, y + 0.5, y - 0.5],
[x - 0.5, x - 0.5, x + 0.5, x + 0.5],
fill=False, hatch='xxxxx', color='r', lw=0)
ax.axis('off')
ax.set_xlim(-0.7, nx - 0.3)
ax.set_ylim(-0.7, ny - 0.3)
ax.annotate(title[i], xy=(0.5, 0.975), xycoords='axes fraction',
ha='center', va='top', size=labelsize, color='w')
if i == 1:
for source in self.nearby:
ax.annotate('%.1f' % source['mag'],
xy=(source['x'] - source['x0'],
source['y'] - source['y0']),
ha='center', va='center', size=labelsize - 2,
color='w', fontweight='bold')
# Plot hi res image
if self.hires is not None:
ax = axes[-1]
ax.imshow(self.hires, aspect='auto',
extent=(-0.5, nx - 0.5, -0.5, ny - 0.5),
interpolation='bicubic', cmap=plasma)
ax.contour(highres, levels=[0.5], extent=extent,
origin='lower', colors='r', linewidths=1)
ax.axis('off')
ax.set_xlim(-0.7, nx - 0.3)
ax.set_ylim(-0.7, ny - 0.3)
ax.annotate('hires', xy=(0.5, 0.975), xycoords='axes fraction',
ha='center', va='top', size=labelsize, color='w')
else:
ax = axes[-1]
ax.axis('off') | [
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] | train | https://github.com/rodluger/everest/blob/6779591f9f8b3556847e2fbf761bdfac7520eaea/everest/basecamp.py#L708-L779 | <|startoftext|>
### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Plots the aperture and the pixel images at the beginning, middle,
and end of the time series. Also plots a high resolution image of
the target, if available.
### Response:
def plot_aperture(self, axes, labelsize=8):
'''
Plots the aperture and the pixel images at the beginning, middle,
and end of the time series. Also plots a high resolution image of
the target, if available.
'''
log.info('Plotting the aperture...')
# Get colormap
plasma = pl.get_cmap('plasma')
plasma.set_bad(alpha=0)
# Get aperture contour
def PadWithZeros(vector, pad_width, iaxis, kwargs):
vector[:pad_width[0]] = 0
vector[-pad_width[1]:] = 0
return vector
ny, nx = self.pixel_images[0].shape
contour = np.zeros((ny, nx))
contour[np.where(self.aperture)] = 1
contour = np.lib.pad(contour, 1, PadWithZeros)
highres = zoom(contour, 100, order=0, mode='nearest')
extent = np.array([-1, nx, -1, ny])
# Plot first, mid, and last TPF image
title = ['start', 'mid', 'end']
for i, image in enumerate(self.pixel_images):
ax = axes[i]
ax.imshow(image, aspect='auto',
interpolation='nearest', cmap=plasma)
ax.contour(highres, levels=[0.5], extent=extent,
origin='lower', colors='r', linewidths=1)
# Check for saturated columns
for x in range(self.aperture.shape[0]):
for y in range(self.aperture.shape[1]):
if self.aperture[x][y] == AP_SATURATED_PIXEL:
ax.fill([y - 0.5, y + 0.5, y + 0.5, y - 0.5],
[x - 0.5, x - 0.5, x + 0.5, x + 0.5],
fill=False, hatch='xxxxx', color='r', lw=0)
ax.axis('off')
ax.set_xlim(-0.7, nx - 0.3)
ax.set_ylim(-0.7, ny - 0.3)
ax.annotate(title[i], xy=(0.5, 0.975), xycoords='axes fraction',
ha='center', va='top', size=labelsize, color='w')
if i == 1:
for source in self.nearby:
ax.annotate('%.1f' % source['mag'],
xy=(source['x'] - source['x0'],
source['y'] - source['y0']),
ha='center', va='center', size=labelsize - 2,
color='w', fontweight='bold')
# Plot hi res image
if self.hires is not None:
ax = axes[-1]
ax.imshow(self.hires, aspect='auto',
extent=(-0.5, nx - 0.5, -0.5, ny - 0.5),
interpolation='bicubic', cmap=plasma)
ax.contour(highres, levels=[0.5], extent=extent,
origin='lower', colors='r', linewidths=1)
ax.axis('off')
ax.set_xlim(-0.7, nx - 0.3)
ax.set_ylim(-0.7, ny - 0.3)
ax.annotate('hires', xy=(0.5, 0.975), xycoords='axes fraction',
ha='center', va='top', size=labelsize, color='w')
else:
ax = axes[-1]
ax.axis('off')
<|endoftext|> | [
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pysathq/pysat | pysat/solvers.py | Lingeling.get_model | def get_model(self):
"""
Get a model if the formula was previously satisfied.
"""
if self.lingeling and self.status == True:
model = pysolvers.lingeling_model(self.lingeling)
return model if model != None else [] | python | def get_model(self):
"""
Get a model if the formula was previously satisfied.
"""
if self.lingeling and self.status == True:
model = pysolvers.lingeling_model(self.lingeling)
return model if model != None else [] | [
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] | train | https://github.com/pysathq/pysat/blob/522742e8f2d4c6ac50ecd9087f7a346206774c67/pysat/solvers.py#L1651-L1658 | <|startoftext|>
### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Get a model if the formula was previously satisfied.
### Response:
def get_model(self):
"""
Get a model if the formula was previously satisfied.
"""
if self.lingeling and self.status == True:
model = pysolvers.lingeling_model(self.lingeling)
return model if model != None else []
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spyder-ide/spyder | spyder/widgets/helperwidgets.py | IconLineEdit.update_status | def update_status(self, value, value_set):
"""Update the status and set_status to update the icons to display."""
self._status = value
self._status_set = value_set
self.repaint()
self.update() | python | def update_status(self, value, value_set):
"""Update the status and set_status to update the icons to display."""
self._status = value
self._status_set = value_set
self.repaint()
self.update() | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Update the status and set_status to update the icons to display.
### Response:
def update_status(self, value, value_set):
"""Update the status and set_status to update the icons to display."""
self._status = value
self._status_set = value_set
self.repaint()
self.update()
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samuraisam/django-json-rpc | jsonrpc/__init__.py | _inject_args | def _inject_args(sig, types):
"""
A function to inject arguments manually into a method signature before
it's been parsed. If using keyword arguments use 'kw=type' instead in
the types array.
sig the string signature
types a list of types to be inserted
Returns the altered signature.
"""
if '(' in sig:
parts = sig.split('(')
sig = '%s(%s%s%s' % (
parts[0], ', '.join(types),
(', ' if parts[1].index(')') > 0 else ''), parts[1])
else:
sig = '%s(%s)' % (sig, ', '.join(types))
return sig | python | def _inject_args(sig, types):
"""
A function to inject arguments manually into a method signature before
it's been parsed. If using keyword arguments use 'kw=type' instead in
the types array.
sig the string signature
types a list of types to be inserted
Returns the altered signature.
"""
if '(' in sig:
parts = sig.split('(')
sig = '%s(%s%s%s' % (
parts[0], ', '.join(types),
(', ' if parts[1].index(')') > 0 else ''), parts[1])
else:
sig = '%s(%s)' % (sig, ', '.join(types))
return sig | [
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types a list of types to be inserted
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
A function to inject arguments manually into a method signature before
it's been parsed. If using keyword arguments use 'kw=type' instead in
the types array.
sig the string signature
types a list of types to be inserted
Returns the altered signature.
### Response:
def _inject_args(sig, types):
"""
A function to inject arguments manually into a method signature before
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sig the string signature
types a list of types to be inserted
Returns the altered signature.
"""
if '(' in sig:
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sig = '%s(%s%s%s' % (
parts[0], ', '.join(types),
(', ' if parts[1].index(')') > 0 else ''), parts[1])
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pandas-dev/pandas | pandas/core/indexes/base.py | Index._validate_names | def _validate_names(self, name=None, names=None, deep=False):
"""
Handles the quirks of having a singular 'name' parameter for general
Index and plural 'names' parameter for MultiIndex.
"""
from copy import deepcopy
if names is not None and name is not None:
raise TypeError("Can only provide one of `names` and `name`")
elif names is None and name is None:
return deepcopy(self.names) if deep else self.names
elif names is not None:
if not is_list_like(names):
raise TypeError("Must pass list-like as `names`.")
return names
else:
if not is_list_like(name):
return [name]
return name | python | def _validate_names(self, name=None, names=None, deep=False):
"""
Handles the quirks of having a singular 'name' parameter for general
Index and plural 'names' parameter for MultiIndex.
"""
from copy import deepcopy
if names is not None and name is not None:
raise TypeError("Can only provide one of `names` and `name`")
elif names is None and name is None:
return deepcopy(self.names) if deep else self.names
elif names is not None:
if not is_list_like(names):
raise TypeError("Must pass list-like as `names`.")
return names
else:
if not is_list_like(name):
return [name]
return name | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Handles the quirks of having a singular 'name' parameter for general
Index and plural 'names' parameter for MultiIndex.
### Response:
def _validate_names(self, name=None, names=None, deep=False):
"""
Handles the quirks of having a singular 'name' parameter for general
Index and plural 'names' parameter for MultiIndex.
"""
from copy import deepcopy
if names is not None and name is not None:
raise TypeError("Can only provide one of `names` and `name`")
elif names is None and name is None:
return deepcopy(self.names) if deep else self.names
elif names is not None:
if not is_list_like(names):
raise TypeError("Must pass list-like as `names`.")
return names
else:
if not is_list_like(name):
return [name]
return name
<|endoftext|> | [
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cisco-sas/kitty | kitty/model/low_level/container.py | Container.push | def push(self, field):
'''
Add a field to the container, if the field is a Container itself, it should be poped() when done pushing into it
:param field: BaseField to push
'''
kassert.is_of_types(field, BaseField)
container = self._container()
field.enclosing = self
if isinstance(field, Container):
self._containers.append(field)
if container:
container.push(field)
else:
name = field.get_name()
if name in self._fields_dict:
raise KittyException('field with the name (%s) already exists in this container' % (name))
if name:
self._fields_dict[name] = field
self._fields.append(field)
return True | python | def push(self, field):
'''
Add a field to the container, if the field is a Container itself, it should be poped() when done pushing into it
:param field: BaseField to push
'''
kassert.is_of_types(field, BaseField)
container = self._container()
field.enclosing = self
if isinstance(field, Container):
self._containers.append(field)
if container:
container.push(field)
else:
name = field.get_name()
if name in self._fields_dict:
raise KittyException('field with the name (%s) already exists in this container' % (name))
if name:
self._fields_dict[name] = field
self._fields.append(field)
return True | [
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:param field: BaseField to push | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Add a field to the container, if the field is a Container itself, it should be poped() when done pushing into it
:param field: BaseField to push
### Response:
def push(self, field):
'''
Add a field to the container, if the field is a Container itself, it should be poped() when done pushing into it
:param field: BaseField to push
'''
kassert.is_of_types(field, BaseField)
container = self._container()
field.enclosing = self
if isinstance(field, Container):
self._containers.append(field)
if container:
container.push(field)
else:
name = field.get_name()
if name in self._fields_dict:
raise KittyException('field with the name (%s) already exists in this container' % (name))
if name:
self._fields_dict[name] = field
self._fields.append(field)
return True
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pypa/pipenv | pipenv/patched/notpip/_vendor/distro.py | LinuxDistribution.version_parts | def version_parts(self, best=False):
"""
Return the version of the OS distribution, as a tuple of version
numbers.
For details, see :func:`distro.version_parts`.
"""
version_str = self.version(best=best)
if version_str:
version_regex = re.compile(r'(\d+)\.?(\d+)?\.?(\d+)?')
matches = version_regex.match(version_str)
if matches:
major, minor, build_number = matches.groups()
return major, minor or '', build_number or ''
return '', '', '' | python | def version_parts(self, best=False):
"""
Return the version of the OS distribution, as a tuple of version
numbers.
For details, see :func:`distro.version_parts`.
"""
version_str = self.version(best=best)
if version_str:
version_regex = re.compile(r'(\d+)\.?(\d+)?\.?(\d+)?')
matches = version_regex.match(version_str)
if matches:
major, minor, build_number = matches.groups()
return major, minor or '', build_number or ''
return '', '', '' | [
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### Instruction:
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Return the version of the OS distribution, as a tuple of version
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For details, see :func:`distro.version_parts`.
### Response:
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version_regex = re.compile(r'(\d+)\.?(\d+)?\.?(\d+)?')
matches = version_regex.match(version_str)
if matches:
major, minor, build_number = matches.groups()
return major, minor or '', build_number or ''
return '', '', ''
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GPflow/GPflow | gpflow/models/gpr.py | GPR._build_predict | def _build_predict(self, Xnew, full_cov=False):
"""
Xnew is a data matrix, the points at which we want to predict.
This method computes
p(F* | Y)
where F* are points on the GP at Xnew, Y are noisy observations at X.
"""
y = self.Y - self.mean_function(self.X)
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Knn = self.kern.K(Xnew) if full_cov else self.kern.Kdiag(Xnew)
f_mean, f_var = base_conditional(Kmn, Kmm_sigma, Knn, y, full_cov=full_cov, white=False) # N x P, N x P or P x N x N
return f_mean + self.mean_function(Xnew), f_var | python | def _build_predict(self, Xnew, full_cov=False):
"""
Xnew is a data matrix, the points at which we want to predict.
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y = self.Y - self.mean_function(self.X)
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Knn = self.kern.K(Xnew) if full_cov else self.kern.Kdiag(Xnew)
f_mean, f_var = base_conditional(Kmn, Kmm_sigma, Knn, y, full_cov=full_cov, white=False) # N x P, N x P or P x N x N
return f_mean + self.mean_function(Xnew), f_var | [
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### Instruction:
You are a Senior Software Developer and a helpful AI programming assistant. Generate only Python code without explanations. Respond only in English.
### Task:
Xnew is a data matrix, the points at which we want to predict.
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p(F* | Y)
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### Response:
def _build_predict(self, Xnew, full_cov=False):
"""
Xnew is a data matrix, the points at which we want to predict.
This method computes
p(F* | Y)
where F* are points on the GP at Xnew, Y are noisy observations at X.
"""
y = self.Y - self.mean_function(self.X)
Kmn = self.kern.K(self.X, Xnew)
Kmm_sigma = self.kern.K(self.X) + tf.eye(tf.shape(self.X)[0], dtype=settings.float_type) * self.likelihood.variance
Knn = self.kern.K(Xnew) if full_cov else self.kern.Kdiag(Xnew)
f_mean, f_var = base_conditional(Kmn, Kmm_sigma, Knn, y, full_cov=full_cov, white=False) # N x P, N x P or P x N x N
return f_mean + self.mean_function(Xnew), f_var
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