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jim-easterbrook/pywws | src/pywws/conversions.py | pressure_trend_text | def pressure_trend_text(trend):
"""Convert pressure trend to a string, as used by the UK met
office.
"""
_ = pywws.localisation.translation.ugettext
if trend > 6.0:
return _(u'rising very rapidly')
elif trend > 3.5:
return _(u'rising quickly')
elif trend > 1.5:
retur... | python | def pressure_trend_text(trend):
"""Convert pressure trend to a string, as used by the UK met
office.
"""
_ = pywws.localisation.translation.ugettext
if trend > 6.0:
return _(u'rising very rapidly')
elif trend > 3.5:
return _(u'rising quickly')
elif trend > 1.5:
retur... | [
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jim-easterbrook/pywws | src/pywws/conversions.py | winddir_average | def winddir_average(data, threshold, min_count, decay=1.0):
"""Compute average wind direction (in degrees) for a slice of data.
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vector before averaging, so the result reflects the dominant wind
direction during the time period covered by ... | python | def winddir_average(data, threshold, min_count, decay=1.0):
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jim-easterbrook/pywws | src/pywws/conversions.py | winddir_text | def winddir_text(pts):
"Convert wind direction from 0..15 to compass point text"
global _winddir_text_array
if pts is None:
return None
if not isinstance(pts, int):
pts = int(pts + 0.5) % 16
if not _winddir_text_array:
_ = pywws.localisation.translation.ugettext
_wind... | python | def winddir_text(pts):
"Convert wind direction from 0..15 to compass point text"
global _winddir_text_array
if pts is None:
return None
if not isinstance(pts, int):
pts = int(pts + 0.5) % 16
if not _winddir_text_array:
_ = pywws.localisation.translation.ugettext
_wind... | [
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jim-easterbrook/pywws | src/pywws/conversions.py | wind_bft | def wind_bft(ms):
"Convert wind from metres per second to Beaufort scale"
if ms is None:
return None
for bft in range(len(_bft_threshold)):
if ms < _bft_threshold[bft]:
return bft
return len(_bft_threshold) | python | def wind_bft(ms):
"Convert wind from metres per second to Beaufort scale"
if ms is None:
return None
for bft in range(len(_bft_threshold)):
if ms < _bft_threshold[bft]:
return bft
return len(_bft_threshold) | [
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jim-easterbrook/pywws | src/pywws/conversions.py | dew_point | def dew_point(temp, hum):
"""Compute dew point, using formula from
http://en.wikipedia.org/wiki/Dew_point.
"""
if temp is None or hum is None:
return None
a = 17.27
b = 237.7
gamma = ((a * temp) / (b + temp)) + math.log(float(hum) / 100.0)
return (b * gamma) / (a - gamma) | python | def dew_point(temp, hum):
"""Compute dew point, using formula from
http://en.wikipedia.org/wiki/Dew_point.
"""
if temp is None or hum is None:
return None
a = 17.27
b = 237.7
gamma = ((a * temp) / (b + temp)) + math.log(float(hum) / 100.0)
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jim-easterbrook/pywws | src/pywws/conversions.py | cadhumidex | def cadhumidex(temp, humidity):
"Calculate Humidity Index as per Canadian Weather Standards"
if temp is None or humidity is None:
return None
# Formulas are adapted to not use e^(...) with no appreciable
# change in accuracy (0.0227%)
saturation_pressure = (6.112 * (10.0**(7.5 * temp / (237.... | python | def cadhumidex(temp, humidity):
"Calculate Humidity Index as per Canadian Weather Standards"
if temp is None or humidity is None:
return None
# Formulas are adapted to not use e^(...) with no appreciable
# change in accuracy (0.0227%)
saturation_pressure = (6.112 * (10.0**(7.5 * temp / (237.... | [
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jim-easterbrook/pywws | src/pywws/conversions.py | usaheatindex | def usaheatindex(temp, humidity, dew=None):
"""Calculate Heat Index as per USA National Weather Service Standards
See http://en.wikipedia.org/wiki/Heat_index, formula 1. The
formula is not valid for T < 26.7C, Dew Point < 12C, or RH < 40%
"""
if temp is None or humidity is None:
return Non... | python | def usaheatindex(temp, humidity, dew=None):
"""Calculate Heat Index as per USA National Weather Service Standards
See http://en.wikipedia.org/wiki/Heat_index, formula 1. The
formula is not valid for T < 26.7C, Dew Point < 12C, or RH < 40%
"""
if temp is None or humidity is None:
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jim-easterbrook/pywws | src/pywws/conversions.py | wind_chill | def wind_chill(temp, wind):
"""Compute wind chill, using formula from
http://en.wikipedia.org/wiki/wind_chill
"""
if temp is None or wind is None:
return None
wind_kph = wind * 3.6
if wind_kph <= 4.8 or temp > 10.0:
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return min(13.12 + (temp * 0.6215) +
... | python | def wind_chill(temp, wind):
"""Compute wind chill, using formula from
http://en.wikipedia.org/wiki/wind_chill
"""
if temp is None or wind is None:
return None
wind_kph = wind * 3.6
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jim-easterbrook/pywws | src/pywws/conversions.py | apparent_temp | def apparent_temp(temp, rh, wind):
"""Compute apparent temperature (real feel), using formula from
http://www.bom.gov.au/info/thermal_stress/
"""
if temp is None or rh is None or wind is None:
return None
vap_press = (float(rh) / 100.0) * 6.105 * math.exp(
17.27 * temp / (237.7 + te... | python | def apparent_temp(temp, rh, wind):
"""Compute apparent temperature (real feel), using formula from
http://www.bom.gov.au/info/thermal_stress/
"""
if temp is None or rh is None or wind is None:
return None
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jim-easterbrook/pywws | src/pywws/conversions.py | cloud_base | def cloud_base(temp, hum):
"""Calculate cumulus cloud base in metres, using formula from
https://en.wikipedia.org/wiki/Cloud_base or
https://de.wikipedia.org/wiki/Kondensationsniveau#Konvektionskondensationsniveau
"""
if temp is None or hum is None:
return None
dew_pt = dew_point(temp, h... | python | def cloud_base(temp, hum):
"""Calculate cumulus cloud base in metres, using formula from
https://en.wikipedia.org/wiki/Cloud_base or
https://de.wikipedia.org/wiki/Kondensationsniveau#Konvektionskondensationsniveau
"""
if temp is None or hum is None:
return None
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ppaquette/gym-pull | gym_pull/scoreboard/api.py | upload | def upload(training_dir, algorithm_id=None, writeup=None, api_key=None, ignore_open_monitors=False):
"""Upload the results of training (as automatically recorded by your
env's monitor) to OpenAI Gym.
Args:
training_dir (Optional[str]): A directory containing the results of a training run.
a... | python | def upload(training_dir, algorithm_id=None, writeup=None, api_key=None, ignore_open_monitors=False):
"""Upload the results of training (as automatically recorded by your
env's monitor) to OpenAI Gym.
Args:
training_dir (Optional[str]): A directory containing the results of a training run.
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ppaquette/gym-pull | gym_pull/package/manager.py | PackageManager.load_user_envs | def load_user_envs(self):
""" Loads downloaded user envs from filesystem cache on `import gym` """
installed_packages = self._list_packages()
# Tagging core envs
gym_package = 'gym ({})'.format(installed_packages['gym']) if 'gym' in installed_packages else 'gym'
core_specs = reg... | python | def load_user_envs(self):
""" Loads downloaded user envs from filesystem cache on `import gym` """
installed_packages = self._list_packages()
# Tagging core envs
gym_package = 'gym ({})'.format(installed_packages['gym']) if 'gym' in installed_packages else 'gym'
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ppaquette/gym-pull | gym_pull/package/manager.py | PackageManager.pull | def pull(self, source=''):
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Downloads and registers a user environment from a git repository
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source: the source where to download the envname (expected 'github.com/user/repo[@branch]')
Note: the user environment will be registered as (username/EnvName-vVersion)
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Downloads and registers a user environment from a git repository
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ppaquette/gym-pull | gym_pull/package/manager.py | PackageManager._load_package | def _load_package(self, json_line, installed_packages):
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if len(json_line) == 0:
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""" Returns the user_package (name, version, source), and the list of envs registered when the package was loaded """
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ppaquette/gym-pull | gym_pull/envs/registration.py | EnvSpec.make | def make(self):
"""Instantiates an instance of the environment with appropriate kwargs"""
if self._entry_point is None:
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cls = load(self._entry_point)
... | python | def make(self):
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jingw/pyhdfs | pyhdfs.py | HdfsClient._parse_path | def _parse_path(self, path):
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jingw/pyhdfs | pyhdfs.py | HdfsClient._record_last_active | def _record_last_active(self, host):
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jingw/pyhdfs | pyhdfs.py | HdfsClient._request | def _request(self, method, path, op, expected_status=httplib.OK, **kwargs):
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This function handles NameNode failover and error checking.
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jingw/pyhdfs | pyhdfs.py | HdfsClient.create | def create(self, path, data, **kwargs):
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:param data: ``bytes`` or a ``file``-like object to upload
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jingw/pyhdfs | pyhdfs.py | HdfsClient.append | def append(self, path, data, **kwargs):
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:param buffersize: The size of the buffer used in transferring data.
:type buffersize: int
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jingw/pyhdfs | pyhdfs.py | HdfsClient.concat | def concat(self, target, sources, **kwargs):
"""Concat existing files together.
For preconditions, see
https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/filesystem/filesystem.html#void_concatPath_p_Path_sources
:param target: the path to the target destination.
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"""Concat existing files together.
For preconditions, see
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jingw/pyhdfs | pyhdfs.py | HdfsClient.open | def open(self, path, **kwargs):
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:param offset: The starting byte position.
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:param length: The number of bytes to be processed.
:type length: long
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jingw/pyhdfs | pyhdfs.py | HdfsClient.create_symlink | def create_symlink(self, link, destination, **kwargs):
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:param link: the path to be created that points to target
:param destination: the target of the symbolic link
:param createParent: If the parent directories do not e... | python | def create_symlink(self, link, destination, **kwargs):
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jingw/pyhdfs | pyhdfs.py | HdfsClient.rename | def rename(self, path, destination, **kwargs):
"""Renames Path src to Path dst.
:returns: true if rename is successful
:rtype: bool
"""
return _json(self._put(path, 'RENAME', destination=destination, **kwargs))['boolean'] | python | def rename(self, path, destination, **kwargs):
"""Renames Path src to Path dst.
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:rtype: bool
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jingw/pyhdfs | pyhdfs.py | HdfsClient.get_file_status | def get_file_status(self, path, **kwargs):
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jingw/pyhdfs | pyhdfs.py | HdfsClient.list_status | def list_status(self, path, **kwargs):
"""List the statuses of the files/directories in the given path if the path is a directory.
:rtype: ``list`` of :py:class:`FileStatus` objects
"""
return [
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jingw/pyhdfs | pyhdfs.py | HdfsClient.get_content_summary | def get_content_summary(self, path, **kwargs):
"""Return the :py:class:`ContentSummary` of a given Path."""
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jingw/pyhdfs | pyhdfs.py | HdfsClient.get_file_checksum | def get_file_checksum(self, path, **kwargs):
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"""Get the checksum of a file.
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jingw/pyhdfs | pyhdfs.py | HdfsClient.set_permission | def set_permission(self, path, **kwargs):
"""Set permission of a path.
:param permission: The permission of a file/directory. Any radix-8 integer (leading zeros
may be omitted.)
:type permission: octal
"""
response = self._put(path, 'SETPERMISSION', **kwargs)
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"""Set permission of a path.
:param permission: The permission of a file/directory. Any radix-8 integer (leading zeros
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:type permission: octal
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response = self._put(path, 'SETPERMISSION', **kwargs)
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jingw/pyhdfs | pyhdfs.py | HdfsClient.set_owner | def set_owner(self, path, **kwargs):
"""Set owner of a path (i.e. a file or a directory).
The parameters owner and group cannot both be null.
:param owner: user
:param group: group
"""
response = self._put(path, 'SETOWNER', **kwargs)
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"""Set owner of a path (i.e. a file or a directory).
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:param group: group
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jingw/pyhdfs | pyhdfs.py | HdfsClient.set_times | def set_times(self, path, **kwargs):
"""Set access time of a file.
:param modificationtime: Set the modification time of this file. The number of milliseconds
since Jan 1, 1970.
:type modificationtime: long
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jingw/pyhdfs | pyhdfs.py | HdfsClient.set_xattr | def set_xattr(self, path, xattr_name, xattr_value, flag, **kwargs):
"""Set an xattr of a file or directory.
:param xattr_name: The name must be prefixed with the namespace followed by ``.``. For
example, ``user.attr``.
:param flag: ``CREATE`` or ``REPLACE``
"""
kwarg... | python | def set_xattr(self, path, xattr_name, xattr_value, flag, **kwargs):
"""Set an xattr of a file or directory.
:param xattr_name: The name must be prefixed with the namespace followed by ``.``. For
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:param flag: ``CREATE`` or ``REPLACE``
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jingw/pyhdfs | pyhdfs.py | HdfsClient.remove_xattr | def remove_xattr(self, path, xattr_name, **kwargs):
"""Remove an xattr of a file or directory."""
kwargs['xattr.name'] = xattr_name
response = self._put(path, 'REMOVEXATTR', **kwargs)
assert not response.content | python | def remove_xattr(self, path, xattr_name, **kwargs):
"""Remove an xattr of a file or directory."""
kwargs['xattr.name'] = xattr_name
response = self._put(path, 'REMOVEXATTR', **kwargs)
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jingw/pyhdfs | pyhdfs.py | HdfsClient.get_xattrs | def get_xattrs(self, path, xattr_name=None, encoding='text', **kwargs):
"""Get one or more xattr values for a file or directory.
:param xattr_name: ``str`` to get one attribute, ``list`` to get multiple attributes,
``None`` to get all attributes.
:param encoding: ``text`` | ``hex`` ... | python | def get_xattrs(self, path, xattr_name=None, encoding='text', **kwargs):
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jingw/pyhdfs | pyhdfs.py | HdfsClient.list_xattrs | def list_xattrs(self, path, **kwargs):
"""Get all of the xattr names for a file or directory.
:rtype: list
"""
return simplejson.loads(_json(self._get(path, 'LISTXATTRS', **kwargs))['XAttrNames']) | python | def list_xattrs(self, path, **kwargs):
"""Get all of the xattr names for a file or directory.
:rtype: list
"""
return simplejson.loads(_json(self._get(path, 'LISTXATTRS', **kwargs))['XAttrNames']) | [
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jingw/pyhdfs | pyhdfs.py | HdfsClient.delete_snapshot | def delete_snapshot(self, path, snapshotname, **kwargs):
"""Delete a snapshot of a directory"""
response = self._delete(path, 'DELETESNAPSHOT', snapshotname=snapshotname, **kwargs)
assert not response.content | python | def delete_snapshot(self, path, snapshotname, **kwargs):
"""Delete a snapshot of a directory"""
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jingw/pyhdfs | pyhdfs.py | HdfsClient.rename_snapshot | def rename_snapshot(self, path, oldsnapshotname, snapshotname, **kwargs):
"""Rename a snapshot"""
response = self._put(path, 'RENAMESNAPSHOT',
oldsnapshotname=oldsnapshotname, snapshotname=snapshotname, **kwargs)
assert not response.content | python | def rename_snapshot(self, path, oldsnapshotname, snapshotname, **kwargs):
"""Rename a snapshot"""
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jingw/pyhdfs | pyhdfs.py | HdfsClient.listdir | def listdir(self, path, **kwargs):
"""Return a list containing names of files in the given path"""
statuses = self.list_status(path, **kwargs)
if len(statuses) == 1 and statuses[0].pathSuffix == '' and statuses[0].type == 'FILE':
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jingw/pyhdfs | pyhdfs.py | HdfsClient.exists | def exists(self, path, **kwargs):
"""Return true if the given path exists"""
try:
self.get_file_status(path, **kwargs)
return True
except HdfsFileNotFoundException:
return False | python | def exists(self, path, **kwargs):
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return True
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jingw/pyhdfs | pyhdfs.py | HdfsClient.walk | def walk(self, top, topdown=True, onerror=None, **kwargs):
"""See ``os.walk`` for documentation"""
try:
listing = self.list_status(top, **kwargs)
except HdfsException as e:
if onerror is not None:
onerror(e)
return
dirnames, filenames ... | python | def walk(self, top, topdown=True, onerror=None, **kwargs):
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jingw/pyhdfs | pyhdfs.py | HdfsClient.copy_from_local | def copy_from_local(self, localsrc, dest, **kwargs):
"""Copy a single file from the local file system to ``dest``
Takes all arguments that :py:meth:`create` takes.
"""
with io.open(localsrc, 'rb') as f:
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with io.open(localsrc, 'rb') as f:
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jingw/pyhdfs | pyhdfs.py | HdfsClient.copy_to_local | def copy_to_local(self, src, localdest, **kwargs):
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"""
with self.open(src, **kwargs) as fsrc:
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shutil.copyfileobj... | python | def copy_to_local(self, src, localdest, **kwargs):
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with self.open(src, **kwargs) as fsrc:
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jingw/pyhdfs | pyhdfs.py | HdfsClient.get_active_namenode | def get_active_namenode(self, max_staleness=None):
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fracpete/python-weka-wrapper | python/weka/core/tokenizers.py | TokenIterator.next | def next(self):
"""
Reads the next dataset row.
:return: the next row
:rtype: Instance
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if not self.__has_more():
raise StopIteration()
else:
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"""
Reads the next dataset row.
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fracpete/python-weka-wrapper | python/weka/associations.py | main | def main():
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"""
Runs a associator from the command-line. Calls JVM start/stop automatically.
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parser = argparse.ArgumentParser(
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fracpete/python-weka-wrapper | python/weka/associations.py | AssociationRulesIterator.next | def next(self):
"""
Returns the next rule.
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"""
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self.index += 1
return self.rules[index]
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"""
Returns the next rule.
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fracpete/python-weka-wrapper | python/weka/flow/control.py | ActorHandler._build_tree | def _build_tree(self, actor, content):
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Builds the tree for the given actor.
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fracpete/python-weka-wrapper | python/weka/flow/control.py | SequentialDirector.check_actors | def check_actors(self):
"""
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"""
actors = []
for actor in self.owner.actors:
if actor.skip:
continue
actors.append(actor)
if len(actors) == 0:
return
... | python | def check_actors(self):
"""
Checks the actors of the owner. Raises an exception if invalid.
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fracpete/python-weka-wrapper | python/weka/flow/control.py | Flow.save | def save(cls, flow, fname):
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:return: None if successful, otherwise error message
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fracpete/python-weka-wrapper | python/weka/flow/control.py | BranchDirector.setup | def setup(self):
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:rtype: str
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result = super(BranchDirector, self).setup()
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Performs some checks.
:return: None if successful, otherwise error message.
:rtype: str
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result = super(BranchDirector, self).setup()
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fracpete/python-weka-wrapper | python/weka/attribute_selection.py | AttributeSelection.ranked_attributes | def ranked_attributes(self):
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Returns the matrix of ranked attributes from the last run.
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fracpete/python-weka-wrapper | python/weka/core/classes.py | JavaArrayIterator.next | def next(self):
"""
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fracpete/python-weka-wrapper | python/weka/core/classes.py | OptionHandler.options | def options(self):
"""
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"""
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fracpete/python-weka-wrapper | python/weka/core/classes.py | OptionHandler.options | def options(self, options):
"""
Sets the command-line options (as list).
:param options: the list of command-line options to set
:type options: list
"""
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fracpete/python-weka-wrapper | python/weka/plot/clusterers.py | plot_cluster_assignments | def plot_cluster_assignments(evl, data, atts=None, inst_no=False, size=10, title=None, outfile=None, wait=True):
"""
Plots the cluster assignments against the specified attributes.
TODO: click events http://matplotlib.org/examples/event_handling/data_browser.html
:param evl: the cluster evaluation to ... | python | def plot_cluster_assignments(evl, data, atts=None, inst_no=False, size=10, title=None, outfile=None, wait=True):
"""
Plots the cluster assignments against the specified attributes.
TODO: click events http://matplotlib.org/examples/event_handling/data_browser.html
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fracpete/python-weka-wrapper | python/weka/core/serialization.py | write_all | def write_all(filename, jobjects):
"""
Serializes the list of objects to disk. JavaObject instances get automatically unwrapped.
:param filename: the file to serialize the object to
:type filename: str
:param jobjects: the list of objects to serialize
:type jobjects: list
"""
array = ja... | python | def write_all(filename, jobjects):
"""
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fracpete/python-weka-wrapper | python/weka/filters.py | main | def main():
"""
Runs a filter from the command-line. Calls JVM start/stop automatically.
Use -h to see all options.
"""
parser = argparse.ArgumentParser(
description='Executes a filter from the command-line. Calls JVM start/stop automatically.')
parser.add_argument("-j", metavar="classpa... | python | def main():
"""
Runs a filter from the command-line. Calls JVM start/stop automatically.
Use -h to see all options.
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fracpete/python-weka-wrapper | python/weka/core/converters.py | IncrementalLoaderIterator.next | def next(self):
"""
Reads the next dataset row.
:return: the next row
:rtype: Instance
"""
result = javabridge.call(
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if result i... | python | def next(self):
"""
Reads the next dataset row.
:return: the next row
:rtype: Instance
"""
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fracpete/python-weka-wrapper | python/weka/plot/classifiers.py | plot_classifier_errors | def plot_classifier_errors(predictions, absolute=True, max_relative_size=50, absolute_size=50, title=None,
outfile=None, wait=True):
"""
Plots the classifers for the given list of predictions.
TODO: click events http://matplotlib.org/examples/event_handling/data_browser.html
... | python | def plot_classifier_errors(predictions, absolute=True, max_relative_size=50, absolute_size=50, title=None,
outfile=None, wait=True):
"""
Plots the classifers for the given list of predictions.
TODO: click events http://matplotlib.org/examples/event_handling/data_browser.html
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fracpete/python-weka-wrapper | python/weka/classifiers.py | main | def main():
"""
Runs a classifier from the command-line. Calls JVM start/stop automatically.
Use -h to see all options.
"""
parser = argparse.ArgumentParser(
description='Performs classification/regression from the command-line. Calls JVM start/stop automatically.')
parser.add_argument("... | python | def main():
"""
Runs a classifier from the command-line. Calls JVM start/stop automatically.
Use -h to see all options.
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fracpete/python-weka-wrapper | python/weka/classifiers.py | Classifier.distributions_for_instances | def distributions_for_instances(self, data):
"""
Peforms predictions, returning the class distributions.
:param data: the Instances to get the class distributions for
:type data: Instances
:return: the class distribution matrix, None if not a batch predictor
:rtype: ndar... | python | def distributions_for_instances(self, data):
"""
Peforms predictions, returning the class distributions.
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fracpete/python-weka-wrapper | python/weka/core/dataset.py | Instances.values | def values(self, index):
"""
Returns the internal values of this attribute from all the instance objects.
:return: the values as numpy array
:rtype: list
"""
values = []
for i in xrange(self.num_instances):
inst = self.get_instance(i)
valu... | python | def values(self, index):
"""
Returns the internal values of this attribute from all the instance objects.
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values = []
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fracpete/python-weka-wrapper | python/weka/core/dataset.py | Instances.append_instances | def append_instances(cls, inst1, inst2):
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Merges the two datasets (one-after-the-other). Throws an exception if the datasets aren't compatible.
:param inst1: the first dataset
:type inst1: Instances
:param inst2: the first dataset
:type inst2: Instances
:retur... | python | def append_instances(cls, inst1, inst2):
"""
Merges the two datasets (one-after-the-other). Throws an exception if the datasets aren't compatible.
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fracpete/python-weka-wrapper | python/weka/core/dataset.py | Attribute.values | def values(self):
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fracpete/python-weka-wrapper | python/weka/core/dataset.py | InstanceIterator.next | def next(self):
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if self.row < self.data.num_instances:
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return self.data.get_instance(index)
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fracpete/python-weka-wrapper | python/weka/core/dataset.py | AttributeIterator.next | def next(self):
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if self.col < self.data.num_attributes:
index = self.col
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HDI-Project/ballet | ballet/validation/project_structure/checks.py | IsPythonSourceCheck.check | def check(self, diff):
"""Check that the new file introduced is a python source file"""
path = diff.b_path
assert any(
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"""Check that the new file introduced is a python source file"""
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HDI-Project/ballet | ballet/validation/project_structure/checks.py | WithinContribCheck.check | def check(self, diff):
"""Check that the new file is within the contrib subdirectory"""
path = diff.b_path
contrib_path = self.project.contrib_module_path
assert pathlib.Path(contrib_path) in pathlib.Path(path).parents | python | def check(self, diff):
"""Check that the new file is within the contrib subdirectory"""
path = diff.b_path
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HDI-Project/ballet | ballet/validation/project_structure/checks.py | SubpackageNameCheck.check | def check(self, diff):
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HDI-Project/ballet | ballet/validation/project_structure/checks.py | RelativeNameDepthCheck.check | def check(self, diff):
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HDI-Project/ballet | ballet/validation/project_structure/checks.py | ModuleNameCheck.check | def check(self, diff):
r"""Check that the new file introduced has a valid name
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"""
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is_valid_feature_module_name = re_test(
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The module can either be an __init__.py file or must
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HDI-Project/ballet | ballet/validation/project_structure/checks.py | IfInitModuleThenIsEmptyCheck.check | def check(self, diff):
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path = pathlib.Path(diff.b_path)
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HDI-Project/ballet | ballet/util/log.py | enable | def enable(logger=logger,
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openstack/os-refresh-config | os_refresh_config/os_refresh_config.py | default_base_dir | def default_base_dir():
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Otherwise, prefer the new default path, but still allow the old one for
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base_dir = os.environ.get('OS_REFRESH_CONFI... | python | def default_base_dir():
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HDI-Project/ballet | ballet/util/code.py | blacken_code | def blacken_code(code):
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if black is None:
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wbond/csrbuilder | csrbuilder/__init__.py | _writer | def _writer(func):
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wbond/csrbuilder | csrbuilder/__init__.py | pem_armor_csr | def pem_armor_csr(certification_request):
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wbond/csrbuilder | csrbuilder/__init__.py | CSRBuilder.subject | def subject(self, value):
"""
An asn1crypto.x509.Name object, or a dict with at least the
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- country_name
- state_or_province_name
- locality_name
- organization_name
- common_name
Less common keys include:
- organiz... | python | def subject(self, value):
"""
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wbond/csrbuilder | csrbuilder/__init__.py | CSRBuilder.subject_public_key | def subject_public_key(self, value):
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wbond/csrbuilder | csrbuilder/__init__.py | CSRBuilder.hash_algo | def hash_algo(self, value):
"""
A unicode string of the hash algorithm to use when signing the
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"""
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'''
... | python | def hash_algo(self, value):
"""
A unicode string of the hash algorithm to use when signing the
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"""
if value not in set(['sha1', 'sha256', 'sha512']):
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wbond/csrbuilder | csrbuilder/__init__.py | CSRBuilder._get_subject_alt | def _get_subject_alt(self, name):
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wbond/csrbuilder | csrbuilder/__init__.py | CSRBuilder._set_subject_alt | def _set_subject_alt(self, name, values):
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Replaces all existing asn1crypto.x509.GeneralName objects of the choice
represented by the name parameter with the values
:param name:
A unicode string of the choice name of the x509.GeneralName object
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... | python | def _set_subject_alt(self, name, values):
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wbond/csrbuilder | csrbuilder/__init__.py | CSRBuilder.set_extension | def set_extension(self, name, value):
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Sets the value for an extension using a fully constructed Asn1Value
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"""
Sets the value for an extension using a fully constructed Asn1Value
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wbond/csrbuilder | csrbuilder/__init__.py | CSRBuilder._determine_critical | def _determine_critical(self, name):
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A boolean indicating the correct value of the critical flag for
an extension, based on information from RFC5280 and RFC 6960. The
correct value is based on the terminology SHOULD or MUST.
"""
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A boolean indicating the correct value of the critical flag for
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wbond/csrbuilder | csrbuilder/__init__.py | CSRBuilder.build | def build(self, signing_private_key):
"""
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and then signs it
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An asn1crypto.keys.PrivateKeyInfo or oscrypto.asymmetric.PrivateKey
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"""
Validates the certificate information, constructs an X.509 certificate
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HDI-Project/ballet | ballet/modeler.py | Modeler.compute_metrics_cv | def compute_metrics_cv(self, X, y, **kwargs):
'''Compute cross-validated metrics.
Trains this model on data X with labels y.
Returns a list of dict with keys name, scoring_name, value.
Args:
X (Union[np.array, pd.DataFrame]): data
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Trains this model on data X with labels y.
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HDI-Project/ballet | ballet/modeler.py | Modeler.cv_score_mean | def cv_score_mean(self, X, y):
'''Compute mean score across cross validation folds.
Split data and labels into cross validation folds and fit the model for
each fold. Then, for each scoring type in scorings, compute the score.
Finally, average the scores across folds. Returns a dictiona... | python | def cv_score_mean(self, X, y):
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HDI-Project/ballet | ballet/contrib.py | get_contrib_features | def get_contrib_features(project_root):
"""Get contributed features for a project at project_root
For a project ``foo``, walks modules within the ``foo.features.contrib``
subpackage. A single object that is an instance of ``ballet.Feature`` is
imported if present in each module. The resulting ``Feature... | python | def get_contrib_features(project_root):
"""Get contributed features for a project at project_root
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HDI-Project/ballet | ballet/contrib.py | _get_contrib_features | def _get_contrib_features(module):
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HDI-Project/ballet | ballet/cli.py | quickstart | def quickstart():
"""Generate a brand-new ballet project"""
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import ballet.util.log
ballet.util.log.enable(level='INFO',
format=ballet.util.log.SIMPLE_LOG_FORMAT,
echo=False)
ballet.templating.render_project_template() | python | def quickstart():
"""Generate a brand-new ballet project"""
import ballet.templating
import ballet.util.log
ballet.util.log.enable(level='INFO',
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HDI-Project/ballet | ballet/cli.py | update_project_template | def update_project_template(push):
"""Update an existing ballet project from the upstream template"""
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HDI-Project/ballet | ballet/cli.py | start_new_feature | def start_new_feature():
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"""Start working on a new feature from a template"""
import ballet.templating
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HDI-Project/ballet | ballet/util/io.py | write_tabular | def write_tabular(obj, filepath):
"""Write tabular object in HDF5 or pickle format
Args:
obj (array or DataFrame): tabular object to write
filepath (path-like): path to write to; must end in '.h5' or '.pkl'
"""
_, fn, ext = splitext2(filepath)
if ext == '.h5':
_write_tabular... | python | def write_tabular(obj, filepath):
"""Write tabular object in HDF5 or pickle format
Args:
obj (array or DataFrame): tabular object to write
filepath (path-like): path to write to; must end in '.h5' or '.pkl'
"""
_, fn, ext = splitext2(filepath)
if ext == '.h5':
_write_tabular... | [
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HDI-Project/ballet | ballet/util/io.py | read_tabular | def read_tabular(filepath):
"""Read tabular object in HDF5 or pickle format
Args:
filepath (path-like): path to read to; must end in '.h5' or '.pkl'
"""
_, fn, ext = splitext2(filepath)
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return _read_t... | python | def read_tabular(filepath):
"""Read tabular object in HDF5 or pickle format
Args:
filepath (path-like): path to read to; must end in '.h5' or '.pkl'
"""
_, fn, ext = splitext2(filepath)
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HDI-Project/ballet | ballet/util/io.py | load_table_from_config | def load_table_from_config(input_dir, config):
"""Load table from table config dict
Args:
input_dir (path-like): directory containing input files
config (dict): mapping with keys 'name', 'path', and 'pd_read_kwargs'.
Returns:
pd.DataFrame
"""
path = pathlib.Path(input_dir).... | python | def load_table_from_config(input_dir, config):
"""Load table from table config dict
Args:
input_dir (path-like): directory containing input files
config (dict): mapping with keys 'name', 'path', and 'pd_read_kwargs'.
Returns:
pd.DataFrame
"""
path = pathlib.Path(input_dir).... | [
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HDI-Project/ballet | ballet/validation/main.py | validate_feature_api | def validate_feature_api(project, force=False):
"""Validate feature API"""
if not force and not project.on_pr():
raise SkippedValidationTest('Not on PR')
validator = FeatureApiValidator(project)
result = validator.validate()
if not result:
raise InvalidFeatureApi | python | def validate_feature_api(project, force=False):
"""Validate feature API"""
if not force and not project.on_pr():
raise SkippedValidationTest('Not on PR')
validator = FeatureApiValidator(project)
result = validator.validate()
if not result:
raise InvalidFeatureApi | [
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HDI-Project/ballet | ballet/validation/main.py | evaluate_feature_performance | def evaluate_feature_performance(project, force=False):
"""Evaluate feature performance"""
if not force and not project.on_pr():
raise SkippedValidationTest('Not on PR')
out = project.build()
X_df, y, features = out['X_df'], out['y'], out['features']
proposed_feature = get_proposed_feature... | python | def evaluate_feature_performance(project, force=False):
"""Evaluate feature performance"""
if not force and not project.on_pr():
raise SkippedValidationTest('Not on PR')
out = project.build()
X_df, y, features = out['X_df'], out['y'], out['features']
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HDI-Project/ballet | ballet/validation/main.py | prune_existing_features | def prune_existing_features(project, force=False):
"""Prune existing features"""
if not force and not project.on_master_after_merge():
raise SkippedValidationTest('Not on master')
out = project.build()
X_df, y, features = out['X_df'], out['y'], out['features']
proposed_feature = get_propose... | python | def prune_existing_features(project, force=False):
"""Prune existing features"""
if not force and not project.on_master_after_merge():
raise SkippedValidationTest('Not on master')
out = project.build()
X_df, y, features = out['X_df'], out['y'], out['features']
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HDI-Project/ballet | ballet/validation/main.py | validate | def validate(package, test_target_type=None):
"""Entrypoint for ./validate.py script in ballet projects"""
project = Project(package)
if test_target_type is None:
test_target_type = detect_target_type()
if test_target_type == BalletTestTypes.PROJECT_STRUCTURE_VALIDATION:
check_project_... | python | def validate(package, test_target_type=None):
"""Entrypoint for ./validate.py script in ballet projects"""
project = Project(package)
if test_target_type is None:
test_target_type = detect_target_type()
if test_target_type == BalletTestTypes.PROJECT_STRUCTURE_VALIDATION:
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