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values | func_name stringlengths 1 134 | docstring stringlengths 1 46.9k | path stringlengths 4 223 | original_string stringlengths 75 104k | code stringlengths 75 104k | docstring_tokens listlengths 1 1.97k | repo stringlengths 7 55 | language stringclasses 1
value | url stringlengths 87 315 | code_tokens listlengths 19 28.4k | sha stringlengths 40 40 |
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train | UnityFileSystem.has_snap | This method won't count the snaps in "destroying" state!
:return: false if no snaps or all snaps are destroying. | storops/unity/resource/filesystem.py | def has_snap(self):
""" This method won't count the snaps in "destroying" state!
:return: false if no snaps or all snaps are destroying.
"""
return len(list(filter(lambda s: s.state != SnapStateEnum.DESTROYING,
self.snapshots))) > 0 | def has_snap(self):
""" This method won't count the snaps in "destroying" state!
:return: false if no snaps or all snaps are destroying.
"""
return len(list(filter(lambda s: s.state != SnapStateEnum.DESTROYING,
self.snapshots))) > 0 | [
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train | median2D | Return a 2D average of data_label over a season and label1, label2.
Parameters
----------
const: Constellation or Instrument
bin#: [min, max, number of bins]
label#: string
identifies data product for bin#
data_label: list-like
contains strings identify... | pysat/ssnl/avg.py | def median2D(const, bin1, label1, bin2, label2, data_label,
returnData=False):
"""Return a 2D average of data_label over a season and label1, label2.
Parameters
----------
const: Constellation or Instrument
bin#: [min, max, number of bins]
label#: string
i... | def median2D(const, bin1, label1, bin2, label2, data_label,
returnData=False):
"""Return a 2D average of data_label over a season and label1, label2.
Parameters
----------
const: Constellation or Instrument
bin#: [min, max, number of bins]
label#: string
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train | VNXSystem.get_rsc_list_2 | get the list of resource list to collect based on clz list
:param rsc_clz_list: the list of classes to collect
:return: filtered list of resource list,
like [VNXLunList(), VNXDiskList()] | storops/vnx/resource/system.py | def get_rsc_list_2(self, rsc_clz_list=None):
"""get the list of resource list to collect based on clz list
:param rsc_clz_list: the list of classes to collect
:return: filtered list of resource list,
like [VNXLunList(), VNXDiskList()]
"""
rsc_list_2 = self._defa... | def get_rsc_list_2(self, rsc_clz_list=None):
"""get the list of resource list to collect based on clz list
:param rsc_clz_list: the list of classes to collect
:return: filtered list of resource list,
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train | load | cosmic data load routine, called by pysat | pysat/instruments/cosmic_gps.py | def load(cosmicFiles, tag=None, sat_id=None):
"""
cosmic data load routine, called by pysat
"""
import netCDF4
num = len(cosmicFiles)
# make sure there are files to read
if num != 0:
# call separate load_files routine, segemented for possible
# multiprocessor load, not in... | def load(cosmicFiles, tag=None, sat_id=None):
"""
cosmic data load routine, called by pysat
"""
import netCDF4
num = len(cosmicFiles)
# make sure there are files to read
if num != 0:
# call separate load_files routine, segemented for possible
# multiprocessor load, not in... | [
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train | load_files | Loads a list of COSMIC data files, supplied by user.
Returns a list of dicts, a dict for each file. | pysat/instruments/cosmic_gps.py | def load_files(files, tag=None, sat_id=None):
'''Loads a list of COSMIC data files, supplied by user.
Returns a list of dicts, a dict for each file.
'''
output = [None]*len(files)
drop_idx = []
for (i,file) in enumerate(files):
try:
data = netCDF4.Dataset(file) ... | def load_files(files, tag=None, sat_id=None):
'''Loads a list of COSMIC data files, supplied by user.
Returns a list of dicts, a dict for each file.
'''
output = [None]*len(files)
drop_idx = []
for (i,file) in enumerate(files):
try:
data = netCDF4.Dataset(file) ... | [
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train | download | Downloads data from Madrigal.
The user's names should be provided in field user. John Malkovich should be
entered as John+Malkovich
The password field should be the user's email address. These parameters
are passed to Madrigal when downloading.
The affiliation field is set to pysat ... | pysat/instruments/dmsp_ivm.py | def download(date_array, tag, sat_id, data_path=None, user=None, password=None):
"""Downloads data from Madrigal.
The user's names should be provided in field user. John Malkovich should be
entered as John+Malkovich
The password field should be the user's email address. These parameters
... | def download(date_array, tag, sat_id, data_path=None, user=None, password=None):
"""Downloads data from Madrigal.
The user's names should be provided in field user. John Malkovich should be
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The password field should be the user's email address. These parameters
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train | clean | Routine to return DMSP IVM data cleaned to the specified level
'Clean' enforces that both RPA and DM flags are <= 1
'Dusty' <= 2
'Dirty' <= 3
'None' None
Routine is called by pysat, and not by the end user directly.
Parameters
-----------
inst : (pysat.Instrument)
Inst... | pysat/instruments/dmsp_ivm.py | def clean(self):
"""Routine to return DMSP IVM data cleaned to the specified level
'Clean' enforces that both RPA and DM flags are <= 1
'Dusty' <= 2
'Dirty' <= 3
'None' None
Routine is called by pysat, and not by the end user directly.
Parameters
-----------
inst : (pysat.... | def clean(self):
"""Routine to return DMSP IVM data cleaned to the specified level
'Clean' enforces that both RPA and DM flags are <= 1
'Dusty' <= 2
'Dirty' <= 3
'None' None
Routine is called by pysat, and not by the end user directly.
Parameters
-----------
inst : (pysat.... | [
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train | UnityRemoteSystem.create | Configures a remote system for remote replication.
:param cls: this class.
:param cli: the rest client.
:param management_address: the management IP address of the remote
system.
:param local_username: administrative username of local system.
:param local_password: a... | storops/unity/resource/remote_system.py | def create(cls, cli, management_address,
local_username=None, local_password=None,
remote_username=None, remote_password=None,
connection_type=None):
"""
Configures a remote system for remote replication.
:param cls: this class.
:param cli: t... | def create(cls, cli, management_address,
local_username=None, local_password=None,
remote_username=None, remote_password=None,
connection_type=None):
"""
Configures a remote system for remote replication.
:param cls: this class.
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train | UnityRemoteSystem.modify | Modifies a remote system for remote replication.
:param management_address: same as the one in `create` method.
:param username: username for accessing the remote system.
:param password: password for accessing the remote system.
:param connection_type: same as the one in `create` metho... | storops/unity/resource/remote_system.py | def modify(self, management_address=None, username=None, password=None,
connection_type=None):
"""
Modifies a remote system for remote replication.
:param management_address: same as the one in `create` method.
:param username: username for accessing the remote system.
... | def modify(self, management_address=None, username=None, password=None,
connection_type=None):
"""
Modifies a remote system for remote replication.
:param management_address: same as the one in `create` method.
:param username: username for accessing the remote system.
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train | UnityRemoteSystem.verify | Verifies and update the remote system settings.
:param connection_type: same as the one in `create` method. | storops/unity/resource/remote_system.py | def verify(self, connection_type=None):
"""
Verifies and update the remote system settings.
:param connection_type: same as the one in `create` method.
"""
req_body = self._cli.make_body(connectionType=connection_type)
resp = self.action('verify', **req_body)
re... | def verify(self, connection_type=None):
"""
Verifies and update the remote system settings.
:param connection_type: same as the one in `create` method.
"""
req_body = self._cli.make_body(connectionType=connection_type)
resp = self.action('verify', **req_body)
re... | [
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train | UnityReplicationInterface.create | Creates a replication interface.
:param cls: this class.
:param cli: the rest cli.
:param sp: `UnityStorageProcessor` object. Storage processor on which
the replication interface is running.
:param ip_port: `UnityIpPort` object. Physical port or link aggregation
... | storops/unity/resource/replication_interface.py | def create(cls, cli, sp, ip_port, ip_address, netmask=None,
v6_prefix_length=None, gateway=None, vlan_id=None):
"""
Creates a replication interface.
:param cls: this class.
:param cli: the rest cli.
:param sp: `UnityStorageProcessor` object. Storage processor on w... | def create(cls, cli, sp, ip_port, ip_address, netmask=None,
v6_prefix_length=None, gateway=None, vlan_id=None):
"""
Creates a replication interface.
:param cls: this class.
:param cli: the rest cli.
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train | UnityReplicationInterface.modify | Modifies a replication interface.
:param sp: same as the one in `create` method.
:param ip_port: same as the one in `create` method.
:param ip_address: same as the one in `create` method.
:param netmask: same as the one in `create` method.
:param v6_prefix_length: same as the on... | storops/unity/resource/replication_interface.py | def modify(self, sp=None, ip_port=None, ip_address=None, netmask=None,
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"""
Modifies a replication interface.
:param sp: same as the one in `create` method.
:param ip_port: same as the one in `create` method.
:par... | def modify(self, sp=None, ip_port=None, ip_address=None, netmask=None,
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"""
Modifies a replication interface.
:param sp: same as the one in `create` method.
:param ip_port: same as the one in `create` method.
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train | UnityMetricQueryResult.sp_sum_values | return sp level values
input:
"values": {
"spa": {
"19": "385",
"18": "0",
"20": "0",
"17": "0",
"16": "0"
},
"spb": {
"19": "101",
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... | storops/unity/resource/metric.py | def sp_sum_values(self):
"""
return sp level values
input:
"values": {
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"19": "385",
"18": "0",
"20": "0",
"17": "0",
"16": "0"
},
"spb": {
"19": "... | def sp_sum_values(self):
"""
return sp level values
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"values": {
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"20": "0",
"17": "0",
"16": "0"
},
"spb": {
"19": "... | [
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train | UnityMetricQueryResult.sum_sp_values | return system level values (spa + spb)
input:
"values": {
"spa": 385,
"spb": 505
},
return:
"values": {
"0": 890
}, | storops/unity/resource/metric.py | def sum_sp_values(self):
"""
return system level values (spa + spb)
input:
"values": {
"spa": 385,
"spb": 505
},
return:
"values": {
"0": 890
},
"""
if self.values is None:
ret = IdValues()
... | def sum_sp_values(self):
"""
return system level values (spa + spb)
input:
"values": {
"spa": 385,
"spb": 505
},
return:
"values": {
"0": 890
},
"""
if self.values is None:
ret = IdValues()
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train | UnityMetricQueryResult.combine_numeric_values | numeric_values * sp_values | storops/unity/resource/metric.py | def combine_numeric_values(self, other):
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train | UnityMetricQueryResult.combine_sp_values | sp_values * sp_values | storops/unity/resource/metric.py | def combine_sp_values(self, other):
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train | UnityMetricQueryResult.sum_combined_sp_values | sum(sp_values * sp_values) | storops/unity/resource/metric.py | def sum_combined_sp_values(self, other):
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Custom functions are applied automatically to associated
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function : string or function object
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Custom functions are applied automatically to associated
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Parameters
----------
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train | Custom._apply_all | Apply all of the custom functions to the satellite data object. | pysat/_custom.py | def _apply_all(self, sat):
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Apply all of the custom functions to the satellite data object.
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train | Custom.clear | Clear custom function list. | pysat/_custom.py | def clear(self):
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train | list_files | Return a Pandas Series of every file for chosen satellite data
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tag : (string)
Denotes type of file to load. Accepted types are 'north' and 'south'.
(default='north')
sat_id : (string or NoneType)
Specifies the satellite ID for a constellation. Not used.
... | pysat/instruments/superdarn_grdex.py | def list_files(tag='north', sat_id=None, data_path=None, format_str=None):
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Parameters
-----------
tag : (string)
Denotes type of file to load. Accepted types are 'north' and 'south'.
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Denotes type of file to load. Accepted types are 'north' and 'south'.
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train | download | Download SuperDARN data from Virginia Tech organized for loading by pysat. | pysat/instruments/superdarn_grdex.py | def download(date_array, tag, sat_id, data_path, user=None, password=None):
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Download SuperDARN data from Virginia Tech organized for loading by pysat.
"""
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Download SuperDARN data from Virginia Tech organized for loading by pysat.
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train | VNXDiskList.same_disks | filter self to the required number of disks with same size and type
Select the disks with the same type and same size. If not
enough disks available, set self to empty.
:param count: number of disks to retrieve
:return: disk list | storops/vnx/resource/disk.py | def same_disks(self, count=2):
""" filter self to the required number of disks with same size and type
Select the disks with the same type and same size. If not
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:param count: number of disks to retrieve
:return: disk list
"""
... | def same_disks(self, count=2):
""" filter self to the required number of disks with same size and type
Select the disks with the same type and same size. If not
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train | Constellation.set_bounds | Sets boundaries for all instruments in constellation | pysat/_constellation.py | def set_bounds(self, start, stop):
"""
Sets boundaries for all instruments in constellation
"""
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Sets boundaries for all instruments in constellation
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train | Constellation.data_mod | Register a function to modify data of member Instruments.
The function is not partially applied to modify member data.
When the Constellation receives a function call to register a function for data modification,
it passes the call to each instrument and registers it in the instrument's pysat.... | pysat/_constellation.py | def data_mod(self, *args, **kwargs):
"""
Register a function to modify data of member Instruments.
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train | Constellation.load | Load instrument data into instrument object.data
(Wraps pysat.Instrument.load; documentation of that function is
reproduced here.)
Parameters
---------
yr : integer
Year for desired data
doy : integer
day of year
data : datetime object
... | pysat/_constellation.py | def load(self, *args, **kwargs):
"""
Load instrument data into instrument object.data
(Wraps pysat.Instrument.load; documentation of that function is
reproduced here.)
Parameters
---------
yr : integer
Year for desired data
doy : integer
... | def load(self, *args, **kwargs):
"""
Load instrument data into instrument object.data
(Wraps pysat.Instrument.load; documentation of that function is
reproduced here.)
Parameters
---------
yr : integer
Year for desired data
doy : integer
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train | Constellation.add | Combines signals from multiple instruments within
given bounds.
Parameters
----------
bounds1 : (min, max)
Bounds for selecting data on the axis of label1
Data points with label1 in [min, max) will be considered.
label1 : string
Data label for... | pysat/_constellation.py | def add(self, bounds1, label1, bounds2, label2, bin3, label3,
data_label):
"""
Combines signals from multiple instruments within
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Parameters
----------
bounds1 : (min, max)
Bounds for selecting data on the axis of label1
D... | def add(self, bounds1, label1, bounds2, label2, bin3, label3,
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Combines signals from multiple instruments within
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Parameters
----------
bounds1 : (min, max)
Bounds for selecting data on the axis of label1
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train | Constellation.difference | Calculates the difference in signals from multiple
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instrument1 : Instrument
Information must already be loaded into the
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instrument2 : Instrument
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Calculates the difference in signals from multiple
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train | daily2D | 2D Daily Occurrence Probability of data_label > gate over a season.
If data_label is greater than gate at least once per day,
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attached to Instrument object.
Prob = (# of times with at least one hit)/(# of times in bin)
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If data_label is greater than gate at least once per day,
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train | by_orbit2D | 2D Occurrence Probability of data_label orbit-by-orbit over a season.
If data_label is greater than gate atleast once per orbit, then a
100% occurrence probability results. Season delineated by the bounds
attached to Instrument object.
Prob = (# of times with at least one hit)/(# of times in bin)
... | pysat/ssnl/occur_prob.py | def by_orbit2D(inst, bin1, label1, bin2, label2, data_label, gate, returnBins=False):
"""2D Occurrence Probability of data_label orbit-by-orbit over a season.
If data_label is greater than gate atleast once per orbit, then a
100% occurrence probability results. Season delineated by the bounds
atta... | def by_orbit2D(inst, bin1, label1, bin2, label2, data_label, gate, returnBins=False):
"""2D Occurrence Probability of data_label orbit-by-orbit over a season.
If data_label is greater than gate atleast once per orbit, then a
100% occurrence probability results. Season delineated by the bounds
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train | daily3D | 3D Daily Occurrence Probability of data_label > gate over a season.
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Prob = (# of times with at least one hit)/(# of times in bin)
... | pysat/ssnl/occur_prob.py | def daily3D(inst, bin1, label1, bin2, label2, bin3, label3,
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If data_label is greater than gate atleast once per day,
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train | computational_form | Input Series of numbers, Series, or DataFrames repackaged
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data : pandas.Series
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data : pandas.Series
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Input Series of numbers, Series, or DataFrames repackaged
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train | set_data_dir | Set the top level directory pysat uses to look for data and reload.
Parameters
----------
path : string
valid path to directory pysat uses to look for data
store : bool
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"""
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Parameters
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path : string
valid path to directory pysat uses to look for data
store : bool
if True, store data directory for future runs
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Set the top level directory pysat uses to look for data and reload.
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valid path to directory pysat uses to look for data
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train | load_netcdf4 | Load netCDF-3/4 file produced by pysat.
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fnames : string or array_like of strings
filenames to load
strict_meta : boolean
check if metadata across fnames is the same
file_format : string
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train | getyrdoy | Return a tuple of year, day of year for a supplied datetime object. | pysat/utils.py | def getyrdoy(date):
"""Return a tuple of year, day of year for a supplied datetime object."""
try:
doy = date.toordinal()-datetime(date.year,1,1).toordinal()+1
except AttributeError:
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"""Return a tuple of year, day of year for a supplied datetime object."""
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train | season_date_range | Return array of datetime objects using input frequency from start to stop
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Return array of datetime objects using input frequency from start to stop
Supports single datetime object or list, tuple, ndarray of start and
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freq codes correspond to pandas date_range codes, D daily, M monthly,
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Return array of datetime objects using input frequency from start to stop
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year : array_like of ints
month : array_like of ints or None
day : array_like of ints
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Parameters
----------
year : array_like of ints
month : array_like of ints or None
day : array_like of ints
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train | nan_circmean | NaN insensitive version of scipy's circular mean routine
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samples : array_like
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low : float or int
Lower boundary for circular standard deviation range (default=0)
high: float or int
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Parameters
-----------
samples : array_like
Input array
low : float or int
Lower boundary for circular standard deviation range (default=0)
high: float or i... | def nan_circmean(samples, high=2.0*np.pi, low=0.0, axis=None):
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-----------
samples : array_like
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low : float or int
Lower boundary for circular standard deviation range (default=0)
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train | nan_circstd | NaN insensitive version of scipy's circular standard deviation routine
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low : float or int
Lower boundary for circular standard deviation range (default=0)
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-----------
samples : array_like
Input array
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Lower boundary for circular standard deviation range (default=0)
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samples : array_like
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train | default | Default routine to be applied when loading data. Removes redundant naming | pysat/instruments/icon_euv.py | def default(inst):
"""Default routine to be applied when loading data. Removes redundant naming
"""
import pysat.instruments.icon_ivm as icivm
inst.tag = 'level_2'
icivm.remove_icon_names(inst, target='ICON_L2_EUV_Daytime_OP_') | def default(inst):
"""Default routine to be applied when loading data. Removes redundant naming
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inst.tag = 'level_2'
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train | list_files | Produce a list of ICON EUV files.
Notes
-----
Currently fixed to level-2 | pysat/instruments/icon_euv.py | def list_files(tag=None, sat_id=None, data_path=None, format_str=None):
"""Produce a list of ICON EUV files.
Notes
-----
Currently fixed to level-2
"""
desc = None
level = tag
if level == 'level_1':
code = 'L1'
desc = None
elif level == 'level_2':
code = 'L... | def list_files(tag=None, sat_id=None, data_path=None, format_str=None):
"""Produce a list of ICON EUV files.
Notes
-----
Currently fixed to level-2
"""
desc = None
level = tag
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train | Resource.shadow_copy | Return a copy of the resource with same raw data
:return: copy of the resource | storops/lib/resource.py | def shadow_copy(self):
""" Return a copy of the resource with same raw data
:return: copy of the resource
"""
ret = self.__class__()
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# before copy, make sure source is updated.
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train | load | Loads data using pysat.utils.load_netcdf4 .
This routine is called as needed by pysat. It is not intended
for direct user interaction.
Parameters
----------
fnames : array-like
iterable of filename strings, full path, to data files to be loaded.
This input is nominally provided... | pysat/instruments/netcdf_pandas.py | def load(fnames, tag=None, sat_id=None, **kwargs):
"""Loads data using pysat.utils.load_netcdf4 .
This routine is called as needed by pysat. It is not intended
for direct user interaction.
Parameters
----------
fnames : array-like
iterable of filename strings, full path, to data fi... | def load(fnames, tag=None, sat_id=None, **kwargs):
"""Loads data using pysat.utils.load_netcdf4 .
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train | command | indicate it's a command of naviseccli
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train | duel_command | indicate it's a command need to be called on both SP
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train | supplement_filesystem | Return new size accounting for the metadata. | storops/lib/common.py | def supplement_filesystem(old_size, user_cap=False):
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train | SynchronizedDecorator.synchronized | synchronize on obj if obj is supplied.
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train | PQueue.re_enqueue | Re-enqueue till reach max retries. | storops/lib/tasks.py | def re_enqueue(self, item):
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train | Criteria._support_op | Internal decorator to define an criteria compare operations. | storops/lib/version.py | def _support_op(*args):
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def inner(func):
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train | clean | Routine to return VEFI data cleaned to the specified level
Parameters
-----------
inst : (pysat.Instrument)
Instrument class object, whose attribute clean_level is used to return
the desired level of data selectivity.
Returns
--------
Void : (NoneType)
data in inst is m... | pysat/instruments/cnofs_vefi.py | def clean(inst):
"""Routine to return VEFI data cleaned to the specified level
Parameters
-----------
inst : (pysat.Instrument)
Instrument class object, whose attribute clean_level is used to return
the desired level of data selectivity.
Returns
--------
Void : (NoneType)
... | def clean(inst):
"""Routine to return VEFI data cleaned to the specified level
Parameters
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inst : (pysat.Instrument)
Instrument class object, whose attribute clean_level is used to return
the desired level of data selectivity.
Returns
--------
Void : (NoneType)
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train | remove_icon_names | Removes leading text on ICON project variable names
Parameters
----------
inst : pysat.Instrument
ICON associated pysat.Instrument object
target : str
Leading string to remove. If none supplied,
ICON project standards are used to identify and remove
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Parameters
----------
inst : pysat.Instrument
ICON associated pysat.Instrument object
target : str
Leading string to remove. If none supplied,
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inst : pysat.Instrument
ICON associated pysat.Instrument object
target : str
Leading string to remove. If none supplied,
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train | list_files | Return a Pandas Series of every file for chosen satellite data
Parameters
-----------
tag : (string or NoneType)
Denotes type of file to load. Accepted types are '1min' and '5min'.
(default=None)
sat_id : (string or NoneType)
Specifies the satellite ID for a constellation. Not... | pysat/instruments/omni_hro.py | def list_files(tag=None, sat_id=None, data_path=None, format_str=None):
"""Return a Pandas Series of every file for chosen satellite data
Parameters
-----------
tag : (string or NoneType)
Denotes type of file to load. Accepted types are '1min' and '5min'.
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sat_id : (s... | def list_files(tag=None, sat_id=None, data_path=None, format_str=None):
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-----------
tag : (string or NoneType)
Denotes type of file to load. Accepted types are '1min' and '5min'.
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train | time_shift_to_magnetic_poles | OMNI data is time-shifted to bow shock. Time shifted again
to intersections with magnetic pole.
Parameters
-----------
inst : Instrument class object
Instrument with OMNI HRO data
Notes
---------
Time shift calculated using distance to bow shock nose (BSN)
and velocity of solar... | pysat/instruments/omni_hro.py | def time_shift_to_magnetic_poles(inst):
""" OMNI data is time-shifted to bow shock. Time shifted again
to intersections with magnetic pole.
Parameters
-----------
inst : Instrument class object
Instrument with OMNI HRO data
Notes
---------
Time shift calculated using distance t... | def time_shift_to_magnetic_poles(inst):
""" OMNI data is time-shifted to bow shock. Time shifted again
to intersections with magnetic pole.
Parameters
-----------
inst : Instrument class object
Instrument with OMNI HRO data
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train | calculate_clock_angle | Calculate IMF clock angle and magnitude of IMF in GSM Y-Z plane
Parameters
-----------
inst : pysat.Instrument
Instrument with OMNI HRO data | pysat/instruments/omni_hro.py | def calculate_clock_angle(inst):
""" Calculate IMF clock angle and magnitude of IMF in GSM Y-Z plane
Parameters
-----------
inst : pysat.Instrument
Instrument with OMNI HRO data
"""
# Calculate clock angle in degrees
clock_angle = np.degrees(np.arctan2(inst['BY_GSM'], inst['BZ_... | def calculate_clock_angle(inst):
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Parameters
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inst : pysat.Instrument
Instrument with OMNI HRO data
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train | calculate_imf_steadiness | Calculate IMF steadiness using clock angle standard deviation and
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Parameters
-----------
inst : pysat.Instrument
Instrument with OMNI HRO data
steady_window : int
Window for calculating running statistical moment... | pysat/instruments/omni_hro.py | def calculate_imf_steadiness(inst, steady_window=15, min_window_frac=0.75,
max_clock_angle_std=90.0/np.pi, max_bmag_cv=0.5):
""" Calculate IMF steadiness using clock angle standard deviation and
the coefficient of variation of the IMF magnitude in the GSM Y-Z plane
Parameters
... | def calculate_imf_steadiness(inst, steady_window=15, min_window_frac=0.75,
max_clock_angle_std=90.0/np.pi, max_bmag_cv=0.5):
""" Calculate IMF steadiness using clock angle standard deviation and
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train | calculate_dayside_reconnection | Calculate the dayside reconnection rate (Milan et al. 2014)
Parameters
-----------
inst : pysat.Instrument
Instrument with OMNI HRO data, requires BYZ_GSM and clock_angle
Notes
--------
recon_day = 3.8 Re (Vx / 4e5 m/s)^1/3 Vx B_yz (sin(theta/2))^9/2 | pysat/instruments/omni_hro.py | def calculate_dayside_reconnection(inst):
""" Calculate the dayside reconnection rate (Milan et al. 2014)
Parameters
-----------
inst : pysat.Instrument
Instrument with OMNI HRO data, requires BYZ_GSM and clock_angle
Notes
--------
recon_day = 3.8 Re (Vx / 4e5 m/s)^1/3 Vx B_yz (sin... | def calculate_dayside_reconnection(inst):
""" Calculate the dayside reconnection rate (Milan et al. 2014)
Parameters
-----------
inst : pysat.Instrument
Instrument with OMNI HRO data, requires BYZ_GSM and clock_angle
Notes
--------
recon_day = 3.8 Re (Vx / 4e5 m/s)^1/3 Vx B_yz (sin... | [
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train | UnityCifsShare.clear_access | clear all ace entries of the share
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:return: sid list of ace entries removed successfully | storops/unity/resource/cifs_share.py | def clear_access(self, white_list=None):
""" clear all ace entries of the share
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train | UnityCifsShare.delete_ace | delete ACE for the share
delete ACE for the share. User could either supply the domain and
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:param domain: domain of the user
:param user: username
:param sid: sid of the user or sid list of the user
:return: REST API response | storops/unity/resource/cifs_share.py | def delete_ace(self, domain=None, user=None, sid=None):
""" delete ACE for the share
delete ACE for the share. User could either supply the domain and
username or the sid of the user.
:param domain: domain of the user
:param user: username
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train | VNXIOClass.luns | Aggregator for ioclass_luns and ioclass_snapshots. | storops/vnx/resource/nqm.py | def luns(self):
"""Aggregator for ioclass_luns and ioclass_snapshots."""
lun_list, smp_list = [], []
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train | VNXIOClass.policy | Returns policy which contains this ioclass. | storops/vnx/resource/nqm.py | def policy(self):
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train | VNXIOClass.modify | Overwrite the current properties for a VNX ioclass.
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:param iotype: can be 'rw', 'r' or 'w'
:param lun_ids: list of LUN IDs
:param smp_names: list of Snapshot Mount Point names
:param ctrlmethod: the new CtrlMethod
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"""Overwrite the current properties for a VNX ioclass.
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train | VNXIOClass.add_lun | A wrapper for modify method.
.. note:: This API only append luns to existing luns. | storops/vnx/resource/nqm.py | def add_lun(self, luns):
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.. note:: This API only append luns to existing luns.
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curr_lun_ids, curr_smp_names = self._get_current_names()
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train | VNXIOPolicy.add_class | Add one VNXIOClass instance to policy.
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train | VNXIOPolicy.remove_class | Remove VNXIOClass instance from policy. | storops/vnx/resource/nqm.py | def remove_class(self, ioclass):
"""Remove VNXIOClass instance from policy."""
current_ioclasses = self.ioclasses
new_ioclasses = filter(lambda x: x.name != ioclass.name,
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train | UnityConsistencyGroup.replace_lun | Replaces the exiting LUNs to lun_list. | storops/unity/resource/cg.py | def replace_lun(self, *lun_list):
"""Replaces the exiting LUNs to lun_list."""
lun_add = self._prepare_luns_add(lun_list)
lun_remove = self._prepare_luns_remove(lun_list, False)
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train | clean | Routine to return FPMU data cleaned to the specified level
Parameters
-----------
inst : (pysat.Instrument)
Instrument class object, whose attribute clean_level is used to return
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Returns
--------
Void : (NoneType)
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Parameters
-----------
inst : (pysat.Instrument)
Instrument class object, whose attribute clean_level is used to return
the desired level of data selectivity.
Returns
--------
Void : (NoneType)
... | def clean(inst):
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inst : (pysat.Instrument)
Instrument class object, whose attribute clean_level is used to return
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train | Files._store | Store currently loaded filelist for instrument onto filesystem | pysat/_files.py | def _store(self):
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name = self.stored_file_name
# check if current file data is different than stored file list
# if so, move file list to previous file list, store current to file
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s... | def _store(self):
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train | Files._load | Load stored filelist and return as Pandas Series
Parameters
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prev_version : boolean
if True, will load previous version of file list
Returns
-------
pandas.Series
Full path file names are indexed by datetime
Series is empty ... | pysat/_files.py | def _load(self, prev_version=False):
"""Load stored filelist and return as Pandas Series
Parameters
----------
prev_version : boolean
if True, will load previous version of file list
Returns
-------
pandas.Series
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prev_version : boolean
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train | Files.get_new | List new files since last recorded file state.
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train | Meta.merge | Adds metadata variables to self that are in other but not in self.
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train | Meta.drop | Drops variables (names) from metadata. | pysat/_meta.py | def drop(self, names):
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train | Meta.keep | Keeps variables (keep_names) while dropping other parameters | pysat/_meta.py | def keep(self, keep_names):
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train | Meta.apply_default_labels | Applies labels for default meta labels from self onto other.
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other : Meta
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other : Meta
Meta object to have default labels applied
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train | Meta._label_setter | Generalized setter of default meta attributes
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new_label : str
New label to use in the Meta object
current_label : str
The hidden attribute to be updated that actually stores metadata
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new_label : str
New label to use in the Meta object
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train | Meta.has_attr | Returns boolean indicating presence of given attribute name
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name : str
name of variable to get stored case form
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train | Meta.attr_case_name | Returns preserved case name for case insensitive value of name.
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"""Returns preserved case name for case insensitive value of name.
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supplied name as it is available for use. Int... | def attr_case_name(self, name):
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"""Concats two metadata objects together.
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other : Meta
Meta object to be concatenated
strict : bool
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"""Concats two metadata objects together.
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other : Meta
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if True, ensure there are no duplicate variable names
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train | Meta.pop | Remove and return metadata about variable
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variable name
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"""Remove and return metadata about variable
Parameters
----------
name : str
variable name
Returns
-------
pandas.Series
Series of metadata for variable
"""
# check if present
if name in self:... | def pop(self, name):
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variable name
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train | Meta.transfer_attributes_to_instrument | Transfer non-standard attributes in Meta to Instrument object.
Pysat's load_netCDF and similar routines are only able to attach
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attributes and removes them from the Meta object. Intent is to
support simple transfers to ... | pysat/_meta.py | def transfer_attributes_to_instrument(self, inst, strict_names=False):
"""Transfer non-standard attributes in Meta to Instrument object.
Pysat's load_netCDF and similar routines are only able to attach
netCDF4 attributes to a Meta object. This routine identifies these
attributes and rem... | def transfer_attributes_to_instrument(self, inst, strict_names=False):
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train | Meta.from_csv | Create instrument metadata object from csv.
Parameters
----------
name : string
absolute filename for csv file or name of file
stored in pandas instruments location
col_names : list-like collection of strings
column names in csv and resultant meta obj... | pysat/_meta.py | def from_csv(cls, name=None, col_names=None, sep=None, **kwargs):
"""Create instrument metadata object from csv.
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----------
name : string
absolute filename for csv file or name of file
stored in pandas instruments location
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absolute filename for csv file or name of file
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train | clean | Routine to return C/NOFS IVM data cleaned to the specified level
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inst : (pysat.Instrument)
Instrument class object, whose attribute clean_level is used to return
the desired level of data selectivity.
Returns
--------
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Parameters
-----------
inst : (pysat.Instrument)
Instrument class object, whose attribute clean_level is used to return
the desired level of data selectivity.
Returns
--------
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inst : (pysat.Instrument)
Instrument class object, whose attribute clean_level is used to return
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train | nonraw_instance | A signal receiver decorator that fetch the complete instance from db when
it's passed as raw | mutant/management/__init__.py | def nonraw_instance(receiver):
"""
A signal receiver decorator that fetch the complete instance from db when
it's passed as raw
"""
@wraps(receiver)
def wrapper(sender, instance, raw, using, **kwargs):
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"""
A signal receiver decorator that fetch the complete instance from db when
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"""
@wraps(receiver)
def wrapper(sender, instance, raw, using, **kwargs):
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train | base_definition_pre_delete | This is used to pass data required for deletion to the post_delete
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# see CASCADE_MARK_ORIGIN's docstring
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train | base_definition_post_delete | Make sure to delete fields inherited from an abstract model base. | mutant/management/__init__.py | def base_definition_post_delete(sender, instance, **kwargs):
"""
Make sure to delete fields inherited from an abstract model base.
"""
if hasattr(instance._state, '_deletion'):
# Make sure to flatten abstract bases since Django
# migrations can't deal with them.
model = popattr(i... | def base_definition_post_delete(sender, instance, **kwargs):
"""
Make sure to delete fields inherited from an abstract model base.
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# Make sure to flatten abstract bases since Django
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train | raw_field_definition_proxy_post_save | When proxy field definitions are loaded from a fixture they're not
passing through the `field_definition_post_save` signal. Make sure they
are. | mutant/management/__init__.py | def raw_field_definition_proxy_post_save(sender, instance, raw, **kwargs):
"""
When proxy field definitions are loaded from a fixture they're not
passing through the `field_definition_post_save` signal. Make sure they
are.
"""
if raw:
model_class = instance.content_type.model_class()
... | def raw_field_definition_proxy_post_save(sender, instance, raw, **kwargs):
"""
When proxy field definitions are loaded from a fixture they're not
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"""
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model_class = instance.content_type.model_class()
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train | field_definition_post_save | This signal is connected by all FieldDefinition subclasses
see comment in FieldDefinitionBase for more details | mutant/management/__init__.py | def field_definition_post_save(sender, instance, created, raw, **kwargs):
"""
This signal is connected by all FieldDefinition subclasses
see comment in FieldDefinitionBase for more details
"""
model_class = instance.model_def.model_class().render_state()
field = instance.construct_for_migrate()
... | def field_definition_post_save(sender, instance, created, raw, **kwargs):
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This signal is connected by all FieldDefinition subclasses
see comment in FieldDefinitionBase for more details
"""
model_class = instance.model_def.model_class().render_state()
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train | popattr | Useful for retrieving an object attr and removing it if it's part of it's
dict while allowing retrieving from subclass.
i.e.
class A:
a = 'a'
class B(A):
b = 'b'
>>> popattr(B, 'a', None)
'a'
>>> A.a
'a' | mutant/utils.py | def popattr(obj, attr, default=NOT_PROVIDED):
"""
Useful for retrieving an object attr and removing it if it's part of it's
dict while allowing retrieving from subclass.
i.e.
class A:
a = 'a'
class B(A):
b = 'b'
>>> popattr(B, 'a', None)
'a'
>>> A.a
'a'
"""
... | def popattr(obj, attr, default=NOT_PROVIDED):
"""
Useful for retrieving an object attr and removing it if it's part of it's
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i.e.
class A:
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class B(A):
b = 'b'
>>> popattr(B, 'a', None)
'a'
>>> A.a
'a'
"""
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train | _app_cache_deepcopy | An helper that correctly deepcopy model cache state | mutant/utils.py | def _app_cache_deepcopy(obj):
"""
An helper that correctly deepcopy model cache state
"""
if isinstance(obj, defaultdict):
return deepcopy(obj)
elif isinstance(obj, dict):
return type(obj)((_app_cache_deepcopy(key), _app_cache_deepcopy(val)) for key, val in obj.items())
elif isin... | def _app_cache_deepcopy(obj):
"""
An helper that correctly deepcopy model cache state
"""
if isinstance(obj, defaultdict):
return deepcopy(obj)
elif isinstance(obj, dict):
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train | app_cache_restorer | A context manager that restore model cache state as it was before
entering context. | mutant/utils.py | def app_cache_restorer():
"""
A context manager that restore model cache state as it was before
entering context.
"""
state = _app_cache_deepcopy(apps.__dict__)
try:
yield state
finally:
with apps_lock():
apps.__dict__ = state
# Rebind the app registry... | def app_cache_restorer():
"""
A context manager that restore model cache state as it was before
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"""
state = _app_cache_deepcopy(apps.__dict__)
try:
yield state
finally:
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"# Rebind the app reg... | 865a1b712ce30501901c4691ce2110ab03f0f93b |
train | CASCADE_MARK_ORIGIN | Custom on_delete handler which sets _cascade_deletion_origin on the _state
of the all relating objects that will deleted.
We use this handler on ModelDefinitionAttribute.model_def, so when we delete
a ModelDefinition we can skip field_definition_post_delete and
base_definition_post_delete and avoid an... | mutant/db/deletion.py | def CASCADE_MARK_ORIGIN(collector, field, sub_objs, using):
"""
Custom on_delete handler which sets _cascade_deletion_origin on the _state
of the all relating objects that will deleted.
We use this handler on ModelDefinitionAttribute.model_def, so when we delete
a ModelDefinition we can skip field... | def CASCADE_MARK_ORIGIN(collector, field, sub_objs, using):
"""
Custom on_delete handler which sets _cascade_deletion_origin on the _state
of the all relating objects that will deleted.
We use this handler on ModelDefinitionAttribute.model_def, so when we delete
a ModelDefinition we can skip field... | [
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... | 865a1b712ce30501901c4691ce2110ab03f0f93b |
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