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47,500 | scot-dev/scot | scot/plotting.py | plot_whiteness | def plot_whiteness(var, h, repeats=1000, axis=None):
""" Draw distribution of the Portmanteu whiteness test.
Parameters
----------
var : :class:`~scot.var.VARBase`-like object
Vector autoregressive model (VAR) object whose residuals are tested for whiteness.
h : int
Maximum lag to i... | python | def plot_whiteness(var, h, repeats=1000, axis=None):
""" Draw distribution of the Portmanteu whiteness test.
Parameters
----------
var : :class:`~scot.var.VARBase`-like object
Vector autoregressive model (VAR) object whose residuals are tested for whiteness.
h : int
Maximum lag to i... | [
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Vector autoregressive model (VAR) object whose residuals are tested for whiteness.
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Maximum lag to include in the test.
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47,501 | scot-dev/scot | scot/xvschema.py | singletrial | def singletrial(num_trials, skipstep=1):
""" Single-trial cross-validation schema
Use one trial for training, all others for testing.
Parameters
----------
num_trials : int
Total number of trials
skipstep : int
only use every `skipstep` trial for training
Returns
-----... | python | def singletrial(num_trials, skipstep=1):
""" Single-trial cross-validation schema
Use one trial for training, all others for testing.
Parameters
----------
num_trials : int
Total number of trials
skipstep : int
only use every `skipstep` trial for training
Returns
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47,502 | scot-dev/scot | scot/xvschema.py | splitset | def splitset(num_trials, skipstep=None):
""" Split-set cross validation
Use half the trials for training, and the other half for testing. Then
repeat the other way round.
Parameters
----------
num_trials : int
Total number of trials
skipstep : int
unused
Returns
--... | python | def splitset(num_trials, skipstep=None):
""" Split-set cross validation
Use half the trials for training, and the other half for testing. Then
repeat the other way round.
Parameters
----------
num_trials : int
Total number of trials
skipstep : int
unused
Returns
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47,503 | scot-dev/scot | scot/ooapi.py | Workspace.set_data | def set_data(self, data, cl=None, time_offset=0):
""" Assign data to the workspace.
This function assigns a new data set to the workspace. Doing so invalidates currently fitted VAR models,
connectivity estimates, and activations.
Parameters
----------
data : array-like,... | python | def set_data(self, data, cl=None, time_offset=0):
""" Assign data to the workspace.
This function assigns a new data set to the workspace. Doing so invalidates currently fitted VAR models,
connectivity estimates, and activations.
Parameters
----------
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47,504 | scot-dev/scot | scot/ooapi.py | Workspace.set_used_labels | def set_used_labels(self, labels):
""" Specify which trials to use in subsequent analysis steps.
This function masks trials based on their class labels.
Parameters
----------
labels : list of class labels
Marks all trials that have a label that is in the `labels` li... | python | def set_used_labels(self, labels):
""" Specify which trials to use in subsequent analysis steps.
This function masks trials based on their class labels.
Parameters
----------
labels : list of class labels
Marks all trials that have a label that is in the `labels` li... | [
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47,505 | scot-dev/scot | scot/ooapi.py | Workspace.remove_sources | def remove_sources(self, sources):
""" Remove sources from the decomposition.
This function removes sources from the decomposition. Doing so invalidates currently fitted VAR models and
connectivity estimates.
Parameters
----------
sources : {slice, int, array of ints}
... | python | def remove_sources(self, sources):
""" Remove sources from the decomposition.
This function removes sources from the decomposition. Doing so invalidates currently fitted VAR models and
connectivity estimates.
Parameters
----------
sources : {slice, int, array of ints}
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47,506 | scot-dev/scot | scot/ooapi.py | Workspace.keep_sources | def keep_sources(self, keep):
"""Keep only the specified sources in the decomposition.
"""
if self.unmixing_ is None or self.mixing_ is None:
raise RuntimeError("No sources available (run do_mvarica first)")
n_sources = self.mixing_.shape[0]
self.remove_sources(np.set... | python | def keep_sources(self, keep):
"""Keep only the specified sources in the decomposition.
"""
if self.unmixing_ is None or self.mixing_ is None:
raise RuntimeError("No sources available (run do_mvarica first)")
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47,507 | scot-dev/scot | scot/ooapi.py | Workspace.fit_var | def fit_var(self):
""" Fit a VAR model to the source activations.
Returns
-------
self : Workspace
The Workspace object.
Raises
------
RuntimeError
If the :class:`Workspace` instance does not contain source activations.
"""
... | python | def fit_var(self):
""" Fit a VAR model to the source activations.
Returns
-------
self : Workspace
The Workspace object.
Raises
------
RuntimeError
If the :class:`Workspace` instance does not contain source activations.
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47,508 | scot-dev/scot | scot/ooapi.py | Workspace.get_connectivity | def get_connectivity(self, measure_name, plot=False):
""" Calculate spectral connectivity measure.
Parameters
----------
measure_name : str
Name of the connectivity measure to calculate. See :class:`Connectivity` for supported measures.
plot : {False, None, Figure ob... | python | def get_connectivity(self, measure_name, plot=False):
""" Calculate spectral connectivity measure.
Parameters
----------
measure_name : str
Name of the connectivity measure to calculate. See :class:`Connectivity` for supported measures.
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47,509 | scot-dev/scot | scot/ooapi.py | Workspace.get_surrogate_connectivity | def get_surrogate_connectivity(self, measure_name, repeats=100, plot=False, random_state=None):
""" Calculate spectral connectivity measure under the assumption of no actual connectivity.
Repeatedly samples connectivity from phase-randomized data. This provides estimates of the connectivity
dis... | python | def get_surrogate_connectivity(self, measure_name, repeats=100, plot=False, random_state=None):
""" Calculate spectral connectivity measure under the assumption of no actual connectivity.
Repeatedly samples connectivity from phase-randomized data. This provides estimates of the connectivity
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47,510 | scot-dev/scot | scot/ooapi.py | Workspace.get_bootstrap_connectivity | def get_bootstrap_connectivity(self, measure_names, repeats=100, num_samples=None, plot=False, random_state=None):
""" Calculate bootstrap estimates of spectral connectivity measures.
Bootstrapping is performed on trial level.
Parameters
----------
measure_names : {str, list of... | python | def get_bootstrap_connectivity(self, measure_names, repeats=100, num_samples=None, plot=False, random_state=None):
""" Calculate bootstrap estimates of spectral connectivity measures.
Bootstrapping is performed on trial level.
Parameters
----------
measure_names : {str, list of... | [
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47,511 | scot-dev/scot | scot/ooapi.py | Workspace.plot_source_topos | def plot_source_topos(self, common_scale=None):
""" Plot topography of the Source decomposition.
Parameters
----------
common_scale : float, optional
If set to None, each topoplot's color axis is scaled individually. Otherwise specifies the percentile
(1-99) of v... | python | def plot_source_topos(self, common_scale=None):
""" Plot topography of the Source decomposition.
Parameters
----------
common_scale : float, optional
If set to None, each topoplot's color axis is scaled individually. Otherwise specifies the percentile
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47,512 | scot-dev/scot | scot/ooapi.py | Workspace.plot_connectivity_topos | def plot_connectivity_topos(self, fig=None):
""" Plot scalp projections of the sources.
This function only plots the topos. Use in combination with connectivity plotting.
Parameters
----------
fig : {None, Figure object}, optional
Where to plot the topos. f set to *... | python | def plot_connectivity_topos(self, fig=None):
""" Plot scalp projections of the sources.
This function only plots the topos. Use in combination with connectivity plotting.
Parameters
----------
fig : {None, Figure object}, optional
Where to plot the topos. f set to *... | [
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47,513 | scot-dev/scot | scot/ooapi.py | Workspace.plot_connectivity_surrogate | def plot_connectivity_surrogate(self, measure_name, repeats=100, fig=None):
""" Plot spectral connectivity measure under the assumption of no actual connectivity.
Repeatedly samples connectivity from phase-randomized data. This provides estimates of the connectivity
distribution if there was no... | python | def plot_connectivity_surrogate(self, measure_name, repeats=100, fig=None):
""" Plot spectral connectivity measure under the assumption of no actual connectivity.
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47,514 | scot-dev/scot | scot/parallel.py | parallel_loop | def parallel_loop(func, n_jobs=1, verbose=1):
"""run loops in parallel, if joblib is available.
Parameters
----------
func : function
function to be executed in parallel
n_jobs : int | None
Number of jobs. If set to None, do not attempt to use joblib.
verbose : int
verbo... | python | def parallel_loop(func, n_jobs=1, verbose=1):
"""run loops in parallel, if joblib is available.
Parameters
----------
func : function
function to be executed in parallel
n_jobs : int | None
Number of jobs. If set to None, do not attempt to use joblib.
verbose : int
verbo... | [
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47,515 | kolypto/py-good | good/voluptuous.py | _convert_errors | def _convert_errors(func):
""" Decorator to convert throws errors to Voluptuous format."""
cast_Invalid = lambda e: Invalid(
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message=e.message,
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""" Decorator to convert throws errors to Voluptuous format."""
cast_Invalid = lambda e: Invalid(
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message=e.message,
expected=e.expected)
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47,516 | kolypto/py-good | good/schema/markers.py | Marker.on_compiled | def on_compiled(self, name=None, key_schema=None, value_schema=None, as_mapping_key=None):
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Note that arguments may be provided in two incomplete sets,
e.g. (name, key_schema, None) and then (None, None, value_sc... | python | def on_compiled(self, name=None, key_schema=None, value_schema=None, as_mapping_key=None):
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47,517 | openearth/bmi-python | bmi/runner.py | colorlogs | def colorlogs(format="short"):
"""Append a rainbow logging handler and a formatter to the root logger"""
try:
from rainbow_logging_handler import RainbowLoggingHandler
import sys
# setup `RainbowLoggingHandler`
logger = logging.root
# same as default
if format == ... | python | def colorlogs(format="short"):
"""Append a rainbow logging handler and a formatter to the root logger"""
try:
from rainbow_logging_handler import RainbowLoggingHandler
import sys
# setup `RainbowLoggingHandler`
logger = logging.root
# same as default
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47,518 | openearth/bmi-python | bmi/runner.py | main | def main():
"""main bmi runner program"""
arguments = docopt.docopt(__doc__, version=__version__)
colorlogs()
# Read input file file
wrapper = BMIWrapper(
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configfile=arguments['<config>'] or ''
)
# add logger if required
if not arguments[... | python | def main():
"""main bmi runner program"""
arguments = docopt.docopt(__doc__, version=__version__)
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# Read input file file
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47,519 | insomnia-lab/libreant | conf/defaults.py | get_def_conf | def get_def_conf():
'''return default configurations as simple dict'''
ret = dict()
for k,v in defConf.items():
ret[k] = v[0]
return ret | python | def get_def_conf():
'''return default configurations as simple dict'''
ret = dict()
for k,v in defConf.items():
ret[k] = v[0]
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47,520 | iamjarret/pystockfish | pystockfish.py | Match.move | def move(self):
"""
Advance game by single move, if possible.
@return: logical indicator if move was performed.
"""
if len(self.moves) == MAX_MOVES:
return False
elif len(self.moves) % 2:
active_engine = self.black_engine
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"""
Advance game by single move, if possible.
@return: logical indicator if move was performed.
"""
if len(self.moves) == MAX_MOVES:
return False
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47,521 | iamjarret/pystockfish | pystockfish.py | Engine.bestmove | def bestmove(self):
"""
Get proposed best move for current position.
@return: dictionary with 'move', 'ponder', 'info' containing best move's UCI notation,
ponder value and info dictionary.
"""
self.go()
last_info = ""
while True:
text = self.... | python | def bestmove(self):
"""
Get proposed best move for current position.
@return: dictionary with 'move', 'ponder', 'info' containing best move's UCI notation,
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"""
self.go()
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47,522 | iamjarret/pystockfish | pystockfish.py | Engine._bestmove_get_info | def _bestmove_get_info(text):
"""
Parse stockfish evaluation output as dictionary.
Examples of input:
"info depth 2 seldepth 3 multipv 1 score cp -656 nodes 43 nps 43000 tbhits 0 \
time 1 pv g7g6 h3g3 g6f7"
"info depth 10 seldepth 12 multipv 1 score mate 5 nodes 2378 n... | python | def _bestmove_get_info(text):
"""
Parse stockfish evaluation output as dictionary.
Examples of input:
"info depth 2 seldepth 3 multipv 1 score cp -656 nodes 43 nps 43000 tbhits 0 \
time 1 pv g7g6 h3g3 g6f7"
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47,523 | iamjarret/pystockfish | pystockfish.py | Engine.isready | def isready(self):
"""
Used to synchronize the python engine object with the back-end engine. Sends 'isready' and waits for 'readyok.'
"""
self.put('isready')
while True:
text = self.stdout.readline().strip()
if text == 'readyok':
return t... | python | def isready(self):
"""
Used to synchronize the python engine object with the back-end engine. Sends 'isready' and waits for 'readyok.'
"""
self.put('isready')
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text = self.stdout.readline().strip()
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47,524 | chaoss/grimoirelab-manuscripts | manuscripts2/metrics/github_prs.py | project_activity | def project_activity(index, start, end):
"""Compute the metrics for the project activity section of the enriched
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Returns a dictionary containing a "metric" key. This key contains the
metrics for this section.
:param index: index object
:param start: start date to ge... | python | def project_activity(index, start, end):
"""Compute the metrics for the project activity section of the enriched
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Returns a dictionary containing a "metric" key. This key contains the
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47,525 | chaoss/grimoirelab-manuscripts | manuscripts2/metrics/github_prs.py | DaysToClosePRMedian.aggregations | def aggregations(self):
"""Get the single valued aggregations with respect to the
previous time interval."""
prev_month_start = get_prev_month(self.end, self.query.interval_)
self.query.since(prev_month_start)
agg = super().aggregations()
if agg is None:
agg ... | python | def aggregations(self):
"""Get the single valued aggregations with respect to the
previous time interval."""
prev_month_start = get_prev_month(self.end, self.query.interval_)
self.query.since(prev_month_start)
agg = super().aggregations()
if agg is None:
agg ... | [
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47,526 | chaoss/grimoirelab-manuscripts | manuscripts2/metrics/github_prs.py | BMIPR.timeseries | def timeseries(self, dataframe=False):
"""Get BMIPR as a time series."""
closed_timeseries = self.closed.timeseries(dataframe=dataframe)
opened_timeseries = self.opened.timeseries(dataframe=dataframe)
return calculate_bmi(closed_timeseries, opened_timeseries) | python | def timeseries(self, dataframe=False):
"""Get BMIPR as a time series."""
closed_timeseries = self.closed.timeseries(dataframe=dataframe)
opened_timeseries = self.opened.timeseries(dataframe=dataframe)
return calculate_bmi(closed_timeseries, opened_timeseries) | [
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47,527 | chaoss/grimoirelab-manuscripts | manuscripts/metrics/metrics.py | Metrics.get_query | def get_query(self, evolutionary=False):
"""
Basic query to get the metric values
:param evolutionary: if True the metric values time series is returned. If False the aggregated metric value.
:return: the DSL query to be sent to Elasticsearch
"""
if not evolutionary:
... | python | def get_query(self, evolutionary=False):
"""
Basic query to get the metric values
:param evolutionary: if True the metric values time series is returned. If False the aggregated metric value.
:return: the DSL query to be sent to Elasticsearch
"""
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47,528 | chaoss/grimoirelab-manuscripts | manuscripts/metrics/metrics.py | Metrics.get_list | def get_list(self):
"""
Extract from a DSL aggregated response the values for each bucket
:return: a list with the values in a DSL aggregated response
"""
field = self.FIELD_NAME
query = ElasticQuery.get_agg(field=field,
date_field=se... | python | def get_list(self):
"""
Extract from a DSL aggregated response the values for each bucket
:return: a list with the values in a DSL aggregated response
"""
field = self.FIELD_NAME
query = ElasticQuery.get_agg(field=field,
date_field=se... | [
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47,529 | chaoss/grimoirelab-manuscripts | manuscripts/metrics/metrics.py | Metrics.get_metrics_data | def get_metrics_data(self, query):
"""
Get the metrics data from Elasticsearch given a DSL query
:param query: query to be sent to Elasticsearch
:return: a dict with the results of executing the query
"""
if self.es_url.startswith("http"):
url = self.es_url
... | python | def get_metrics_data(self, query):
"""
Get the metrics data from Elasticsearch given a DSL query
:param query: query to be sent to Elasticsearch
:return: a dict with the results of executing the query
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if self.es_url.startswith("http"):
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47,530 | chaoss/grimoirelab-manuscripts | manuscripts/metrics/metrics.py | Metrics.get_ts | def get_ts(self):
"""
Returns a time series of a specific class
A timeseries consists of a unixtime date, labels, some other
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:return: a list with a time series wit... | python | def get_ts(self):
"""
Returns a time series of a specific class
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47,531 | chaoss/grimoirelab-manuscripts | manuscripts/metrics/metrics.py | Metrics.get_agg | def get_agg(self):
"""
Returns the aggregated value for the metric
:return: the value of the metric
"""
""" Returns an aggregated value """
query = self.get_query(False)
res = self.get_metrics_data(query)
# We need to extract the data from the JSON res
... | python | def get_agg(self):
"""
Returns the aggregated value for the metric
:return: the value of the metric
"""
""" Returns an aggregated value """
query = self.get_query(False)
res = self.get_metrics_data(query)
# We need to extract the data from the JSON res
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47,532 | chaoss/grimoirelab-manuscripts | manuscripts/metrics/metrics.py | Metrics.get_trend | def get_trend(self):
"""
Get the trend for the last two metric values using the interval defined in the metric
:return: a tuple with the metric value for the last interval and the
trend percentage between the last two intervals
"""
""" """
# TODO: We j... | python | def get_trend(self):
"""
Get the trend for the last two metric values using the interval defined in the metric
:return: a tuple with the metric value for the last interval and the
trend percentage between the last two intervals
"""
""" """
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47,533 | insomnia-lab/libreant | presets/presetManager.py | PresetManager._load_preset | def _load_preset(self, path):
''' load, validate and store a single preset file'''
try:
with open(path, 'r') as f:
presetBody = json.load(f)
except IOError as e:
raise PresetException("IOError: " + e.strerror)
except ValueError as e:
r... | python | def _load_preset(self, path):
''' load, validate and store a single preset file'''
try:
with open(path, 'r') as f:
presetBody = json.load(f)
except IOError as e:
raise PresetException("IOError: " + e.strerror)
except ValueError as e:
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47,534 | insomnia-lab/libreant | presets/presetManager.py | Preset.validate | def validate(self, data):
'''
Checks if `data` respects this preset specification
It will check that every required property is present and
for every property type it will make some specific control.
'''
for prop in self.properties:
if prop.id in data:
... | python | def validate(self, data):
'''
Checks if `data` respects this preset specification
It will check that every required property is present and
for every property type it will make some specific control.
'''
for prop in self.properties:
if prop.id in data:
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47,535 | insomnia-lab/libreant | webant/util.py | requestedFormat | def requestedFormat(request,acceptedFormat):
"""Return the response format requested by client
Client could specify requested format using:
(options are processed in this order)
- `format` field in http request
- `Accept` header in http request
Example:
... | python | def requestedFormat(request,acceptedFormat):
"""Return the response format requested by client
Client could specify requested format using:
(options are processed in this order)
- `format` field in http request
- `Accept` header in http request
Example:
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47,536 | insomnia-lab/libreant | webant/util.py | routes_collector | def routes_collector(gatherer):
"""Decorator utility to collect flask routes in a dictionary.
This function together with :func:`add_routes` provides an
easy way to split flask routes declaration in multiple modules.
:param gatherer: dict in which will be collected routes
The decorator provided b... | python | def routes_collector(gatherer):
"""Decorator utility to collect flask routes in a dictionary.
This function together with :func:`add_routes` provides an
easy way to split flask routes declaration in multiple modules.
:param gatherer: dict in which will be collected routes
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47,537 | insomnia-lab/libreant | webant/util.py | add_routes | def add_routes(fapp, routes, prefix=""):
"""Batch routes registering
Register routes to a blueprint/flask_app previously collected
with :func:`routes_collector`.
:param fapp: bluprint or flask_app to whom attach new routes.
:param routes: dict of routes collected by :func:`routes_collector`
:p... | python | def add_routes(fapp, routes, prefix=""):
"""Batch routes registering
Register routes to a blueprint/flask_app previously collected
with :func:`routes_collector`.
:param fapp: bluprint or flask_app to whom attach new routes.
:param routes: dict of routes collected by :func:`routes_collector`
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47,538 | insomnia-lab/libreant | webant/util.py | get_centered_pagination | def get_centered_pagination(current, total, visible=5):
''' Return the range of pages to render in a pagination menu.
The current page is always kept in the middle except
for the edge cases.
Reeturns a dict
{ prev, first, current, last, next }
:param current: the curre... | python | def get_centered_pagination(current, total, visible=5):
''' Return the range of pages to render in a pagination menu.
The current page is always kept in the middle except
for the edge cases.
Reeturns a dict
{ prev, first, current, last, next }
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47,539 | SiLab-Bonn/pylandau | examples/mpv_fwhm.py | fwhm | def fwhm(x, y, k=10): # http://stackoverflow.com/questions/10582795/finding-the-full-width-half-maximum-of-a-peak
"""
Determine full-with-half-maximum of a peaked set of points, x and y.
Assumes that there is only one peak present in the datasset. The function
uses a spline interpolation of order k.
... | python | def fwhm(x, y, k=10): # http://stackoverflow.com/questions/10582795/finding-the-full-width-half-maximum-of-a-peak
"""
Determine full-with-half-maximum of a peaked set of points, x and y.
Assumes that there is only one peak present in the datasset. The function
uses a spline interpolation of order k.
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47,540 | snowblink14/smatch | smatch.py | main | def main(arguments):
"""
Main function of smatch score calculation
"""
global verbose
global veryVerbose
global iteration_num
global single_score
global pr_flag
global match_triple_dict
# set the iteration number
# total iteration number = restart number + 1
iteration_num... | python | def main(arguments):
"""
Main function of smatch score calculation
"""
global verbose
global veryVerbose
global iteration_num
global single_score
global pr_flag
global match_triple_dict
# set the iteration number
# total iteration number = restart number + 1
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47,541 | insomnia-lab/libreant | archivant/archivant.py | Archivant.normalize_volume | def normalize_volume(volume):
'''convert volume metadata from es to archivant format
This function makes side effect on input volume
output example::
{
'id': 'AU0paPZOMZchuDv1iDv8',
'type': 'volume',
'metadata': {'_language': '... | python | def normalize_volume(volume):
'''convert volume metadata from es to archivant format
This function makes side effect on input volume
output example::
{
'id': 'AU0paPZOMZchuDv1iDv8',
'type': 'volume',
'metadata': {'_language': '... | [
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47,542 | insomnia-lab/libreant | archivant/archivant.py | Archivant.normalize_attachment | def normalize_attachment(attachment):
''' Convert attachment metadata from es to archivant format
This function makes side effect on input attachment
'''
res = dict()
res['type'] = 'attachment'
res['id'] = attachment['id']
del(attachment['id'])
res['u... | python | def normalize_attachment(attachment):
''' Convert attachment metadata from es to archivant format
This function makes side effect on input attachment
'''
res = dict()
res['type'] = 'attachment'
res['id'] = attachment['id']
del(attachment['id'])
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47,543 | insomnia-lab/libreant | archivant/archivant.py | Archivant.denormalize_volume | def denormalize_volume(volume):
'''convert volume metadata from archivant to es format'''
id = volume.get('id', None)
res = dict()
res.update(volume['metadata'])
denorm_attachments = list()
for a in volume['attachments']:
denorm_attachments.append(Archivant.de... | python | def denormalize_volume(volume):
'''convert volume metadata from archivant to es format'''
id = volume.get('id', None)
res = dict()
res.update(volume['metadata'])
denorm_attachments = list()
for a in volume['attachments']:
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47,544 | insomnia-lab/libreant | archivant/archivant.py | Archivant.denormalize_attachment | def denormalize_attachment(attachment):
'''convert attachment metadata from archivant to es format'''
res = dict()
ext = ['id', 'url']
for k in ext:
if k in attachment['metadata']:
raise ValueError("metadata section could not contain special key '{}'".format(k... | python | def denormalize_attachment(attachment):
'''convert attachment metadata from archivant to es format'''
res = dict()
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47,545 | insomnia-lab/libreant | archivant/archivant.py | Archivant.iter_all_volumes | def iter_all_volumes(self):
'''iterate over all stored volumes'''
for raw_volume in self._db.iterate_all():
v = self.normalize_volume(raw_volume)
del v['score']
yield v | python | def iter_all_volumes(self):
'''iterate over all stored volumes'''
for raw_volume in self._db.iterate_all():
v = self.normalize_volume(raw_volume)
del v['score']
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47,546 | insomnia-lab/libreant | archivant/archivant.py | Archivant.delete_attachments | def delete_attachments(self, volumeID, attachmentsID):
''' delete attachments from a volume '''
log.debug("deleting attachments from volume '{}': {}".format(volumeID, attachmentsID))
rawVolume = self._req_raw_volume(volumeID)
insID = [a['id'] for a in rawVolume['_source']['_attachments']... | python | def delete_attachments(self, volumeID, attachmentsID):
''' delete attachments from a volume '''
log.debug("deleting attachments from volume '{}': {}".format(volumeID, attachmentsID))
rawVolume = self._req_raw_volume(volumeID)
insID = [a['id'] for a in rawVolume['_source']['_attachments']... | [
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47,547 | insomnia-lab/libreant | archivant/archivant.py | Archivant.insert_attachments | def insert_attachments(self, volumeID, attachments):
''' add attachments to an already existing volume '''
log.debug("adding new attachments to volume '{}': {}".format(volumeID, attachments))
if not attachments:
return
rawVolume = self._req_raw_volume(volumeID)
attsID... | python | def insert_attachments(self, volumeID, attachments):
''' add attachments to an already existing volume '''
log.debug("adding new attachments to volume '{}': {}".format(volumeID, attachments))
if not attachments:
return
rawVolume = self._req_raw_volume(volumeID)
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47,548 | insomnia-lab/libreant | archivant/archivant.py | Archivant.insert_volume | def insert_volume(self, metadata, attachments=[]):
'''Insert a new volume
Returns the ID of the added volume
`metadata` must be a dict containg metadata of the volume::
{
"_language" : "it", # language of the metadata
"key1" : "value1", # attribute
... | python | def insert_volume(self, metadata, attachments=[]):
'''Insert a new volume
Returns the ID of the added volume
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47,549 | insomnia-lab/libreant | archivant/archivant.py | Archivant._assemble_attachment | def _assemble_attachment(self, file, metadata):
''' store file and return a dict containing assembled metadata
param `file` must be a path or a File Object
param `metadata` must be a dict:
{
"name" : "nome_buffo.ext" # name of the file (extensi... | python | def _assemble_attachment(self, file, metadata):
''' store file and return a dict containing assembled metadata
param `file` must be a path or a File Object
param `metadata` must be a dict:
{
"name" : "nome_buffo.ext" # name of the file (extensi... | [
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47,550 | insomnia-lab/libreant | archivant/archivant.py | Archivant.update_volume | def update_volume(self, volumeID, metadata):
'''update existing volume metadata
the given metadata will substitute the old one
'''
log.debug('updating volume metadata: {}'.format(volumeID))
rawVolume = self._req_raw_volume(volumeID)
normalized = self.normalize_volume(r... | python | def update_volume(self, volumeID, metadata):
'''update existing volume metadata
the given metadata will substitute the old one
'''
log.debug('updating volume metadata: {}'.format(volumeID))
rawVolume = self._req_raw_volume(volumeID)
normalized = self.normalize_volume(r... | [
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47,551 | insomnia-lab/libreant | archivant/archivant.py | Archivant.update_attachment | def update_attachment(self, volumeID, attachmentID, metadata):
'''update an existing attachment
the given metadata dict will be merged with the old one.
only the following fields could be updated:
[name, mime, notes, download_count]
'''
log.debug('updating metadata of at... | python | def update_attachment(self, volumeID, attachmentID, metadata):
'''update an existing attachment
the given metadata dict will be merged with the old one.
only the following fields could be updated:
[name, mime, notes, download_count]
'''
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47,552 | insomnia-lab/libreant | archivant/archivant.py | Archivant.dangling_files | def dangling_files(self):
'''iterate over fsdb files no more attached to any volume'''
for fid in self._fsdb:
if not self._db.file_is_attached('fsdb:///' + fid):
yield fid | python | def dangling_files(self):
'''iterate over fsdb files no more attached to any volume'''
for fid in self._fsdb:
if not self._db.file_is_attached('fsdb:///' + fid):
yield fid | [
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47,553 | pricingassistant/mongokat | mongokat/_bson/__init__.py | _get_string | def _get_string(data, position, obj_end, dummy):
"""Decode a BSON string to python unicode string."""
length = _UNPACK_INT(data[position:position + 4])[0]
position += 4
if length < 1 or obj_end - position < length:
raise InvalidBSON("invalid string length")
end = position + length - 1
if... | python | def _get_string(data, position, obj_end, dummy):
"""Decode a BSON string to python unicode string."""
length = _UNPACK_INT(data[position:position + 4])[0]
position += 4
if length < 1 or obj_end - position < length:
raise InvalidBSON("invalid string length")
end = position + length - 1
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47,554 | pricingassistant/mongokat | mongokat/_bson/__init__.py | _get_regex | def _get_regex(data, position, dummy0, dummy1):
"""Decode a BSON regex to bson.regex.Regex or a python pattern object."""
pattern, position = _get_c_string(data, position)
bson_flags, position = _get_c_string(data, position)
bson_re = Regex(pattern, bson_flags)
return bson_re, position | python | def _get_regex(data, position, dummy0, dummy1):
"""Decode a BSON regex to bson.regex.Regex or a python pattern object."""
pattern, position = _get_c_string(data, position)
bson_flags, position = _get_c_string(data, position)
bson_re = Regex(pattern, bson_flags)
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47,555 | pricingassistant/mongokat | mongokat/_bson/__init__.py | _encode_mapping | def _encode_mapping(name, value, check_keys, opts):
"""Encode a mapping type."""
data = b"".join([_element_to_bson(key, val, check_keys, opts)
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return b"\x03" + name + _PACK_INT(len(data) + 5) + data + b"\x00" | python | def _encode_mapping(name, value, check_keys, opts):
"""Encode a mapping type."""
data = b"".join([_element_to_bson(key, val, check_keys, opts)
for key, val in iteritems(value)])
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47,556 | pricingassistant/mongokat | mongokat/_bson/__init__.py | _encode_code | def _encode_code(name, value, dummy, opts):
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"""Encode bson.code.Code."""
cstring = _make_c_string(value)
cstrlen = len(cstring)
if not value.scope:
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47,557 | insomnia-lab/libreant | users/models.py | Capability.simToReg | def simToReg(self, sim):
"""Convert simplified domain expression to regular expression"""
# remove initial slash if present
res = re.sub('^/', '', sim)
res = re.sub('/$', '', res)
return '^/?' + re.sub('\*', '[^/]+', res) + '/?$' | python | def simToReg(self, sim):
"""Convert simplified domain expression to regular expression"""
# remove initial slash if present
res = re.sub('^/', '', sim)
res = re.sub('/$', '', res)
return '^/?' + re.sub('\*', '[^/]+', res) + '/?$' | [
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47,558 | insomnia-lab/libreant | users/models.py | Capability.match | def match(self, dom, act):
"""
Check if the given `domain` and `act` are allowed
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"""
return self.match_domain(dom) and self.match_action(act) | python | def match(self, dom, act):
"""
Check if the given `domain` and `act` are allowed
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"""
return self.match_domain(dom) and self.match_action(act) | [
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47,559 | insomnia-lab/libreant | users/models.py | Action.to_list | def to_list(self):
'''convert an actions bitmask into a list of action strings'''
res = []
for a in self.__class__.ACTIONS:
aBit = self.__class__.action_bitmask(a)
if ((self & aBit) == aBit):
res.append(a)
return res | python | def to_list(self):
'''convert an actions bitmask into a list of action strings'''
res = []
for a in self.__class__.ACTIONS:
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if ((self & aBit) == aBit):
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47,560 | insomnia-lab/libreant | users/models.py | Action.from_list | def from_list(cls, actions):
'''convert list of actions into the corresponding bitmask'''
bitmask = 0
for a in actions:
bitmask |= cls.action_bitmask(a)
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47,561 | chaoss/grimoirelab-manuscripts | manuscripts2/utils.py | str_val | def str_val(val):
"""
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"""
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"""
Format the value of a metric value to a string
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47,562 | insomnia-lab/libreant | cli/__init__.py | load_cfg | def load_cfg(path, envvar_prefix='LIBREANT_', debug=False):
'''wrapper of config_utils.load_configs'''
try:
return load_configs(envvar_prefix, path=path)
except Exception as e:
if debug:
raise
else:
die(str(e)) | python | def load_cfg(path, envvar_prefix='LIBREANT_', debug=False):
'''wrapper of config_utils.load_configs'''
try:
return load_configs(envvar_prefix, path=path)
except Exception as e:
if debug:
raise
else:
die(str(e)) | [
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47,563 | chaoss/grimoirelab-manuscripts | setup.py | files_in_subdir | def files_in_subdir(dir, subdir):
"""Find all files in a directory."""
paths = []
for (path, dirs, files) in os.walk(os.path.join(dir, subdir)):
for file in files:
paths.append(os.path.relpath(os.path.join(path, file), dir))
return paths | python | def files_in_subdir(dir, subdir):
"""Find all files in a directory."""
paths = []
for (path, dirs, files) in os.walk(os.path.join(dir, subdir)):
for file in files:
paths.append(os.path.relpath(os.path.join(path, file), dir))
return paths | [
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47,564 | chaoss/grimoirelab-manuscripts | manuscripts2/metrics/git.py | overview | def overview(index, start, end):
"""Compute metrics in the overview section for enriched git indexes.
Returns a dictionary. Each key in the dictionary is the name of
a metric, the value is the value of that metric. Value can be
a complex object (eg, a time series).
:param index: index object
:... | python | def overview(index, start, end):
"""Compute metrics in the overview section for enriched git indexes.
Returns a dictionary. Each key in the dictionary is the name of
a metric, the value is the value of that metric. Value can be
a complex object (eg, a time series).
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47,565 | chaoss/grimoirelab-manuscripts | manuscripts2/metrics/git.py | project_activity | def project_activity(index, start, end):
"""Compute the metrics for the project activity section of the enriched
git index.
Returns a dictionary containing a "metric" key. This key contains the
metrics for this section.
:param index: index object
:param start: start date to get the data from
... | python | def project_activity(index, start, end):
"""Compute the metrics for the project activity section of the enriched
git index.
Returns a dictionary containing a "metric" key. This key contains the
metrics for this section.
:param index: index object
:param start: start date to get the data from
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47,566 | chaoss/grimoirelab-manuscripts | manuscripts2/metrics/git.py | project_community | def project_community(index, start, end):
"""Compute the metrics for the project community section of the enriched
git index.
Returns a dictionary containing "author_metrics", "people_top_metrics"
and "orgs_top_metrics" as the keys and the related Metrics as the values.
:param index: index object
... | python | def project_community(index, start, end):
"""Compute the metrics for the project community section of the enriched
git index.
Returns a dictionary containing "author_metrics", "people_top_metrics"
and "orgs_top_metrics" as the keys and the related Metrics as the values.
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47,567 | chaoss/grimoirelab-manuscripts | manuscripts2/metrics/git.py | Authors.aggregations | def aggregations(self):
"""
Override parent method. Obtain list of the terms and their corresponding
values using "terms" aggregations for the previous time period.
:returns: a data frame containing terms and their corresponding values
"""
prev_month_start = get_prev_mo... | python | def aggregations(self):
"""
Override parent method. Obtain list of the terms and their corresponding
values using "terms" aggregations for the previous time period.
:returns: a data frame containing terms and their corresponding values
"""
prev_month_start = get_prev_mo... | [
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47,568 | chaoss/grimoirelab-manuscripts | manuscripts2/metrics/github_issues.py | project_activity | def project_activity(index, start, end):
"""Compute the metrics for the project activity section of the enriched
github issues index.
Returns a dictionary containing a "metric" key. This key contains the
metrics for this section.
:param index: index object
:param start: start date to get the d... | python | def project_activity(index, start, end):
"""Compute the metrics for the project activity section of the enriched
github issues index.
Returns a dictionary containing a "metric" key. This key contains the
metrics for this section.
:param index: index object
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47,569 | chaoss/grimoirelab-manuscripts | manuscripts2/metrics/github_issues.py | BMI.aggregations | def aggregations(self):
"""Get the aggregation value for BMI with respect to the previous
time interval."""
prev_month_start = get_prev_month(self.end,
self.closed.query.interval_)
self.closed.query.since(prev_month_start,
... | python | def aggregations(self):
"""Get the aggregation value for BMI with respect to the previous
time interval."""
prev_month_start = get_prev_month(self.end,
self.closed.query.interval_)
self.closed.query.since(prev_month_start,
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47,570 | openearth/bmi-python | bmi/wrapper.py | c_log | def c_log(level, message):
"""python logger to be called from fortran"""
c_level = level
level = LEVELS_F2PY[c_level]
logger.log(level, message) | python | def c_log(level, message):
"""python logger to be called from fortran"""
c_level = level
level = LEVELS_F2PY[c_level]
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47,571 | openearth/bmi-python | bmi/wrapper.py | struct2dict | def struct2dict(struct):
"""convert a ctypes structure to a dictionary"""
return {x: getattr(struct, x) for x in dict(struct._fields_).keys()} | python | def struct2dict(struct):
"""convert a ctypes structure to a dictionary"""
return {x: getattr(struct, x) for x in dict(struct._fields_).keys()} | [
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47,572 | openearth/bmi-python | bmi/wrapper.py | structs2records | def structs2records(structs):
"""convert one or more structs and generate dictionaries"""
try:
n = len(structs)
except TypeError:
# no array
yield struct2dict(structs)
# just 1
return
for i in range(n):
struct = structs[i]
yield struct2dict(struct) | python | def structs2records(structs):
"""convert one or more structs and generate dictionaries"""
try:
n = len(structs)
except TypeError:
# no array
yield struct2dict(structs)
# just 1
return
for i in range(n):
struct = structs[i]
yield struct2dict(struct) | [
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47,573 | openearth/bmi-python | bmi/wrapper.py | structs2pandas | def structs2pandas(structs):
"""convert ctypes structure or structure array to pandas data frame"""
try:
import pandas
records = list(structs2records(structs))
df = pandas.DataFrame.from_records(records)
# TODO: do this for string columns, for now just for id
# How can we... | python | def structs2pandas(structs):
"""convert ctypes structure or structure array to pandas data frame"""
try:
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records = list(structs2records(structs))
df = pandas.DataFrame.from_records(records)
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47,574 | openearth/bmi-python | bmi/wrapper.py | wrap | def wrap(func):
"""Return wrapped function with type conversion and sanity checks.
"""
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def wrapped(*args):
if len(args) != len(func.argtypes):
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"""Return wrapped function with type conversion and sanity checks.
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@functools.wraps(func, assigned=('restype', 'argtypes'))
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47,575 | openearth/bmi-python | bmi/wrapper.py | BMIWrapper._libname | def _libname(self):
"""Return platform-specific modelf90 shared library name."""
prefix = 'lib'
suffix = '.so'
if platform.system() == 'Darwin':
suffix = '.dylib'
if platform.system() == 'Windows':
prefix = ''
suffix = '.dll'
return pre... | python | def _libname(self):
"""Return platform-specific modelf90 shared library name."""
prefix = 'lib'
suffix = '.so'
if platform.system() == 'Darwin':
suffix = '.dylib'
if platform.system() == 'Windows':
prefix = ''
suffix = '.dll'
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47,576 | openearth/bmi-python | bmi/wrapper.py | BMIWrapper._library_path | def _library_path(self):
"""Return full path to the shared library.
A couple of regular unix paths like ``/usr/lib/`` is searched by
default. If your library is not in one of those, set a
``LD_LIBRARY_PATH`` environment variable to the directory with your
shared library.
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"""Return full path to the shared library.
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47,577 | openearth/bmi-python | bmi/wrapper.py | BMIWrapper._load_library | def _load_library(self):
"""Return the fortran library, loaded with """
path = self._library_path()
logger.info("Loading library from path {}".format(path))
library_dir = os.path.dirname(path)
if platform.system() == 'Windows':
import win32api
olddir = os.... | python | def _load_library(self):
"""Return the fortran library, loaded with """
path = self._library_path()
logger.info("Loading library from path {}".format(path))
library_dir = os.path.dirname(path)
if platform.system() == 'Windows':
import win32api
olddir = os.... | [
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47,578 | openearth/bmi-python | bmi/wrapper.py | BMIWrapper.finalize | def finalize(self):
"""Shutdown the library and clean up the model.
Note that the Fortran library's cleanup code is not up to snuff yet,
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changed back to the original one.
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47,579 | openearth/bmi-python | bmi/wrapper.py | BMIWrapper.get_var_count | def get_var_count(self):
"""
Return number of variables
"""
n = c_int()
self.library.get_var_count.argtypes = [POINTER(c_int)]
self.library.get_var_count(byref(n))
return n.value | python | def get_var_count(self):
"""
Return number of variables
"""
n = c_int()
self.library.get_var_count.argtypes = [POINTER(c_int)]
self.library.get_var_count(byref(n))
return n.value | [
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47,580 | openearth/bmi-python | bmi/wrapper.py | BMIWrapper.inq_compound_field | def inq_compound_field(self, name, index):
"""
Lookup the type,rank and shape of a compound field
"""
typename = create_string_buffer(name)
index = c_int(index + 1)
fieldname = create_string_buffer(MAXSTRLEN)
fieldtype = create_string_buffer(MAXSTRLEN)
ran... | python | def inq_compound_field(self, name, index):
"""
Lookup the type,rank and shape of a compound field
"""
typename = create_string_buffer(name)
index = c_int(index + 1)
fieldname = create_string_buffer(MAXSTRLEN)
fieldtype = create_string_buffer(MAXSTRLEN)
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47,581 | openearth/bmi-python | bmi/wrapper.py | BMIWrapper.make_compound_ctype | def make_compound_ctype(self, varname):
"""
Create a ctypes type that corresponds to a compound type in memory.
"""
# look up the type name
compoundname = self.get_var_type(varname)
nfields = self.inq_compound(compoundname)
# for all the fields look up the type, ... | python | def make_compound_ctype(self, varname):
"""
Create a ctypes type that corresponds to a compound type in memory.
"""
# look up the type name
compoundname = self.get_var_type(varname)
nfields = self.inq_compound(compoundname)
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47,582 | openearth/bmi-python | bmi/wrapper.py | BMIWrapper.get_var_rank | def get_var_rank(self, name):
"""
Return array rank or 0 for scalar.
"""
name = create_string_buffer(name)
rank = c_int()
self.library.get_var_rank.argtypes = [c_char_p, POINTER(c_int)]
self.library.get_var_rank.restype = None
self.library.get_var_rank(nam... | python | def get_var_rank(self, name):
"""
Return array rank or 0 for scalar.
"""
name = create_string_buffer(name)
rank = c_int()
self.library.get_var_rank.argtypes = [c_char_p, POINTER(c_int)]
self.library.get_var_rank.restype = None
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47,583 | openearth/bmi-python | bmi/wrapper.py | BMIWrapper.get_var_shape | def get_var_shape(self, name):
"""
Return shape of the array.
"""
rank = self.get_var_rank(name)
name = create_string_buffer(name)
arraytype = ndpointer(dtype='int32',
ndim=1,
shape=(MAXDIMS, ),
... | python | def get_var_shape(self, name):
"""
Return shape of the array.
"""
rank = self.get_var_rank(name)
name = create_string_buffer(name)
arraytype = ndpointer(dtype='int32',
ndim=1,
shape=(MAXDIMS, ),
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47,584 | openearth/bmi-python | bmi/wrapper.py | BMIWrapper.get_start_time | def get_start_time(self):
"""
returns start time
"""
start_time = c_double()
self.library.get_start_time.argtypes = [POINTER(c_double)]
self.library.get_start_time.restype = None
self.library.get_start_time(byref(start_time))
return start_time.value | python | def get_start_time(self):
"""
returns start time
"""
start_time = c_double()
self.library.get_start_time.argtypes = [POINTER(c_double)]
self.library.get_start_time.restype = None
self.library.get_start_time(byref(start_time))
return start_time.value | [
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47,585 | openearth/bmi-python | bmi/wrapper.py | BMIWrapper.get_end_time | def get_end_time(self):
"""
returns end time of simulation
"""
end_time = c_double()
self.library.get_end_time.argtypes = [POINTER(c_double)]
self.library.get_end_time.restype = None
self.library.get_end_time(byref(end_time))
return end_time.value | python | def get_end_time(self):
"""
returns end time of simulation
"""
end_time = c_double()
self.library.get_end_time.argtypes = [POINTER(c_double)]
self.library.get_end_time.restype = None
self.library.get_end_time(byref(end_time))
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47,586 | openearth/bmi-python | bmi/wrapper.py | BMIWrapper.get_current_time | def get_current_time(self):
"""
returns current time of simulation
"""
current_time = c_double()
self.library.get_current_time.argtypes = [POINTER(c_double)]
self.library.get_current_time.restype = None
self.library.get_current_time(byref(current_time))
re... | python | def get_current_time(self):
"""
returns current time of simulation
"""
current_time = c_double()
self.library.get_current_time.argtypes = [POINTER(c_double)]
self.library.get_current_time.restype = None
self.library.get_current_time(byref(current_time))
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47,587 | openearth/bmi-python | bmi/wrapper.py | BMIWrapper.get_time_step | def get_time_step(self):
"""
returns current time step of simulation
"""
time_step = c_double()
self.library.get_time_step.argtypes = [POINTER(c_double)]
self.library.get_time_step.restype = None
self.library.get_time_step(byref(time_step))
return time_ste... | python | def get_time_step(self):
"""
returns current time step of simulation
"""
time_step = c_double()
self.library.get_time_step.argtypes = [POINTER(c_double)]
self.library.get_time_step.restype = None
self.library.get_time_step(byref(time_step))
return time_ste... | [
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47,588 | openearth/bmi-python | bmi/wrapper.py | BMIWrapper.get_var | def get_var(self, name):
"""Return an nd array from model library"""
# How many dimensions.
rank = self.get_var_rank(name)
# The shape array is fixed size
shape = np.empty((MAXDIMS, ), dtype='int32', order='F')
shape = self.get_var_shape(name)
# there should be no... | python | def get_var(self, name):
"""Return an nd array from model library"""
# How many dimensions.
rank = self.get_var_rank(name)
# The shape array is fixed size
shape = np.empty((MAXDIMS, ), dtype='int32', order='F')
shape = self.get_var_shape(name)
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47,589 | openearth/bmi-python | bmi/wrapper.py | BMIWrapper.set_logger | def set_logger(self, logger):
"""subscribe to fortran log messages"""
# we don't expect anything back
try:
self.library.set_logger.restype = None
except AttributeError:
logger.warn("Tried to set logger but method is not implemented in %s", self.engine)
... | python | def set_logger(self, logger):
"""subscribe to fortran log messages"""
# we don't expect anything back
try:
self.library.set_logger.restype = None
except AttributeError:
logger.warn("Tried to set logger but method is not implemented in %s", self.engine)
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47,590 | openearth/bmi-python | bmi/wrapper.py | BMIWrapper.set_current_time | def set_current_time(self, current_time):
"""
sets current time of simulation
"""
current_time = c_double(current_time)
try:
self.library.set_current_time.argtypes = [POINTER(c_double)]
self.library.set_current_time.restype = None
self.library.... | python | def set_current_time(self, current_time):
"""
sets current time of simulation
"""
current_time = c_double(current_time)
try:
self.library.set_current_time.argtypes = [POINTER(c_double)]
self.library.set_current_time.restype = None
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47,591 | insomnia-lab/libreant | libreantdb/api.py | DB.setup_db | def setup_db(self, wait_for_ready=True):
''' Create and configure index
If `wait_for_ready` is True, this function will block until
status for `self.index_name` will be `yellow`
'''
if self.es.indices.exists(self.index_name):
try:
self.update... | python | def setup_db(self, wait_for_ready=True):
''' Create and configure index
If `wait_for_ready` is True, this function will block until
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47,592 | insomnia-lab/libreant | libreantdb/api.py | DB.create_index | def create_index(self, indexname=None, index_conf=None):
''' Create the index
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] | 55d529435baf4c05a86b8341899e9f5e14e50245 | https://github.com/insomnia-lab/libreant/blob/55d529435baf4c05a86b8341899e9f5e14e50245/libreantdb/api.py#L186-L209 |
47,593 | insomnia-lab/libreant | libreantdb/api.py | DB.clone_index | def clone_index(self, new_indexname, index_conf=None):
'''Clone current index
All entries of the current index will be copied into the newly
created one named `new_indexname`
:param index_conf: Configuration to be used in the new index creation.
T... | python | def clone_index(self, new_indexname, index_conf=None):
'''Clone current index
All entries of the current index will be copied into the newly
created one named `new_indexname`
:param index_conf: Configuration to be used in the new index creation.
T... | [
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47,594 | insomnia-lab/libreant | libreantdb/api.py | DB.reindex | def reindex(self, new_index=None, index_conf=None):
'''Rebuilt the current index
This function could be useful in the case you want to change some index settings/mappings
and you don't want to loose all the entries belonging to that index.
This function is built in such a way ... | python | def reindex(self, new_index=None, index_conf=None):
'''Rebuilt the current index
This function could be useful in the case you want to change some index settings/mappings
and you don't want to loose all the entries belonging to that index.
This function is built in such a way ... | [
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47,595 | insomnia-lab/libreant | libreantdb/api.py | DB.mlt | def mlt(self, _id):
'''
High-level method to do "more like this".
Its exact implementation can vary.
'''
query = {
'query': {'more_like_this': {
'like': {'_id': _id},
'min_term_freq': 1,
'min_doc_freq'... | python | def mlt(self, _id):
'''
High-level method to do "more like this".
Its exact implementation can vary.
'''
query = {
'query': {'more_like_this': {
'like': {'_id': _id},
'min_term_freq': 1,
'min_doc_freq'... | [
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Its exact implementation can vary. | [
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47,596 | insomnia-lab/libreant | libreantdb/api.py | DB.file_is_attached | def file_is_attached(self, url):
'''return true if at least one book has
file with the given url as attachment
'''
body = self._get_search_field('_attachments.url', url)
return self.es.count(index=self.index_name, body=body)['count'] > 0 | python | def file_is_attached(self, url):
'''return true if at least one book has
file with the given url as attachment
'''
body = self._get_search_field('_attachments.url', url)
return self.es.count(index=self.index_name, body=body)['count'] > 0 | [
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47,597 | insomnia-lab/libreant | libreantdb/api.py | DB.delete_all | def delete_all(self):
'''Delete all books from the index'''
def delete_action_gen():
scanner = scan(self.es,
index=self.index_name,
query={'query': {'match_all':{}}})
for v in scanner:
yield { '_op_type': 'dele... | python | def delete_all(self):
'''Delete all books from the index'''
def delete_action_gen():
scanner = scan(self.es,
index=self.index_name,
query={'query': {'match_all':{}}})
for v in scanner:
yield { '_op_type': 'dele... | [
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47,598 | insomnia-lab/libreant | libreantdb/api.py | DB.update_book | def update_book(self, id, body, doc_type='book'):
''' Update a book
The "body" is merged with the current one.
Yes, it is NOT overwritten.
In case of concurrency conflict
this function could raise `elasticsearch.ConflictError`
'''
# note that we ... | python | def update_book(self, id, body, doc_type='book'):
''' Update a book
The "body" is merged with the current one.
Yes, it is NOT overwritten.
In case of concurrency conflict
this function could raise `elasticsearch.ConflictError`
'''
# note that we ... | [
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The "body" is merged with the current one.
Yes, it is NOT overwritten.
In case of concurrency conflict
this function could raise `elasticsearch.ConflictError` | [
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] | 55d529435baf4c05a86b8341899e9f5e14e50245 | https://github.com/insomnia-lab/libreant/blob/55d529435baf4c05a86b8341899e9f5e14e50245/libreantdb/api.py#L393-L408 |
47,599 | insomnia-lab/libreant | libreantdb/api.py | DB.modify_book | def modify_book(self, id, body, doc_type='book', version=None):
''' replace the entire book body
Instead of `update_book` this function
will overwrite the book content with param body
If param `version` is given, it will be checked that the
changes are applied u... | python | def modify_book(self, id, body, doc_type='book', version=None):
''' replace the entire book body
Instead of `update_book` this function
will overwrite the book content with param body
If param `version` is given, it will be checked that the
changes are applied u... | [
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Instead of `update_book` this function
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