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guaix-ucm/numina | numina/array/combine.py | minmax | def minmax(arrays, masks=None, dtype=None, out=None, zeros=None,
scales=None, weights=None, nmin=1, nmax=1):
"""Combine arrays using mix max rejection, with masks.
Inputs and masks are a list of array objects. All input arrays
have the same shape. If present, the masks have the same shape
al... | python | def minmax(arrays, masks=None, dtype=None, out=None, zeros=None,
scales=None, weights=None, nmin=1, nmax=1):
"""Combine arrays using mix max rejection, with masks.
Inputs and masks are a list of array objects. All input arrays
have the same shape. If present, the masks have the same shape
al... | [
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guaix-ucm/numina | numina/array/combine.py | flatcombine | def flatcombine(arrays, masks=None, dtype=None, scales=None,
low=3.0, high=3.0, blank=1.0):
"""Combine flat arrays.
:param arrays: a list of arrays
:param masks: a list of mask arrays, True values are masked
:param dtype: data type of the output
:param out: optional output, with one... | python | def flatcombine(arrays, masks=None, dtype=None, scales=None,
low=3.0, high=3.0, blank=1.0):
"""Combine flat arrays.
:param arrays: a list of arrays
:param masks: a list of mask arrays, True values are masked
:param dtype: data type of the output
:param out: optional output, with one... | [
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guaix-ucm/numina | numina/array/combine.py | zerocombine | def zerocombine(arrays, masks, dtype=None, scales=None):
"""Combine zero arrays.
:param arrays: a list of arrays
:param masks: a list of mask arrays, True values are masked
:param dtype: data type of the output
:param scales:
:return: median, variance of the median and number of points stored
... | python | def zerocombine(arrays, masks, dtype=None, scales=None):
"""Combine zero arrays.
:param arrays: a list of arrays
:param masks: a list of mask arrays, True values are masked
:param dtype: data type of the output
:param scales:
:return: median, variance of the median and number of points stored
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guaix-ucm/numina | numina/array/combine.py | sum | def sum(arrays, masks=None, dtype=None, out=None,
zeros=None, scales=None):
"""Combine arrays by addition, with masks and offsets.
Arrays and masks are a list of array objects. All input arrays
have the same shape. If present, the masks have the same shape
also.
The function returns an ar... | python | def sum(arrays, masks=None, dtype=None, out=None,
zeros=None, scales=None):
"""Combine arrays by addition, with masks and offsets.
Arrays and masks are a list of array objects. All input arrays
have the same shape. If present, the masks have the same shape
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guaix-ucm/numina | numina/array/combine.py | generic_combine | def generic_combine(method, arrays, masks=None, dtype=None,
out=None, zeros=None, scales=None, weights=None):
"""Stack arrays using different methods.
:param method: the combination method
:type method: PyCObject
:param arrays: a list of arrays
:param masks: a list of mask array... | python | def generic_combine(method, arrays, masks=None, dtype=None,
out=None, zeros=None, scales=None, weights=None):
"""Stack arrays using different methods.
:param method: the combination method
:type method: PyCObject
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:param masks: a list of mask array... | [
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guaix-ucm/numina | numina/array/fwhm.py | compute_fwhm_1d_simple | def compute_fwhm_1d_simple(Y, xc, X=None):
"""Compute the FWHM."""
return compute_fw_at_frac_max_1d_simple(Y, xc, X=X, f=0.5) | python | def compute_fwhm_1d_simple(Y, xc, X=None):
"""Compute the FWHM."""
return compute_fw_at_frac_max_1d_simple(Y, xc, X=X, f=0.5) | [
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guaix-ucm/numina | numina/array/fwhm.py | compute_fw_at_frac_max_1d_simple | def compute_fw_at_frac_max_1d_simple(Y, xc, X=None, f=0.5):
"""Compute the full width at fraction f of the maximum"""
yy = np.asarray(Y)
if yy.ndim != 1:
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if yy.size == 0:
raise ValueError('array is empty')
if X is None:
xx = np.arange... | python | def compute_fw_at_frac_max_1d_simple(Y, xc, X=None, f=0.5):
"""Compute the full width at fraction f of the maximum"""
yy = np.asarray(Y)
if yy.ndim != 1:
raise ValueError('array must be 1-d')
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raise ValueError('array is empty')
if X is None:
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guaix-ucm/numina | numina/array/fwhm.py | _fwhm_side_lineal | def _fwhm_side_lineal(uu, vv):
'''Compute r12 using linear interpolation.'''
res1, = np.nonzero(vv < 0)
if len(res1) == 0:
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dy = vv[i2] - vv[i1]
... | python | def _fwhm_side_lineal(uu, vv):
'''Compute r12 using linear interpolation.'''
res1, = np.nonzero(vv < 0)
if len(res1) == 0:
return 0, 1 # error, no negative value
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# first value
i2 = res1[0]
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SUNCAT-Center/CatHub | cathub/reaction_networks.py | get_ZPE | def get_ZPE(viblist):
"""Returns the zero point energy from a list of frequencies.
Parameters
----------
viblist : List of numbers or string of list of numbers.
Returns
-------
ZPE : Zero point energy in eV.
"""
if type(viblist) is str:
l = ast.literal_eval(viblist)
els... | python | def get_ZPE(viblist):
"""Returns the zero point energy from a list of frequencies.
Parameters
----------
viblist : List of numbers or string of list of numbers.
Returns
-------
ZPE : Zero point energy in eV.
"""
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SUNCAT-Center/CatHub | cathub/reaction_networks.py | auto_labels | def auto_labels(df):
"""Transforms atomic system information into well-formatted labels.
Parameters
----------
df : Pandas DataFrame.
Returns
-------
labels : list of system labels.
"""
systems = list(df.system)
facets = list(df.facet)
systems_labels = [w.replace('_', '\ ')... | python | def auto_labels(df):
"""Transforms atomic system information into well-formatted labels.
Parameters
----------
df : Pandas DataFrame.
Returns
-------
labels : list of system labels.
"""
systems = list(df.system)
facets = list(df.facet)
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SUNCAT-Center/CatHub | cathub/reaction_networks.py | proton_hydroxide_free_energy | def proton_hydroxide_free_energy(temperature, pressure, pH):
"""Returns the Gibbs free energy of proton in bulk solution.
Parameters
----------
pH : pH of bulk solution
temperature : numeric
temperature in K
pressure : numeric
pressure in mbar
Returns
-------
G_H, G_... | python | def proton_hydroxide_free_energy(temperature, pressure, pH):
"""Returns the Gibbs free energy of proton in bulk solution.
Parameters
----------
pH : pH of bulk solution
temperature : numeric
temperature in K
pressure : numeric
pressure in mbar
Returns
-------
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SUNCAT-Center/CatHub | cathub/reaction_networks.py | get_FEC | def get_FEC(molecule_list, temperature, pressure, electronic_energy='Default'):
"""Returns the Gibbs free energy corrections to be added to raw reaction energies.
Parameters
----------
molecule_list : list of strings
temperature : numeric
temperature in K
pressure : numeric
press... | python | def get_FEC(molecule_list, temperature, pressure, electronic_energy='Default'):
"""Returns the Gibbs free energy corrections to be added to raw reaction energies.
Parameters
----------
molecule_list : list of strings
temperature : numeric
temperature in K
pressure : numeric
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SUNCAT-Center/CatHub | cathub/reaction_networks.py | select_data | def select_data(db_file, slab=None, facet=None):
"""Gathers relevant data from SQL database generated by CATHUB.
Parameters
----------
db_file : Path to database
slab : Which metal (slab) to select.
facet : Which facets to select.
Returns
-------
data : SQL cursor output.
"""
... | python | def select_data(db_file, slab=None, facet=None):
"""Gathers relevant data from SQL database generated by CATHUB.
Parameters
----------
db_file : Path to database
slab : Which metal (slab) to select.
facet : Which facets to select.
Returns
-------
data : SQL cursor output.
"""
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SUNCAT-Center/CatHub | cathub/reaction_networks.py | file_to_df | def file_to_df(file_name):
"""Read in file and return pandas data_frame.
Parameters
----------
filename : Filename including path.
Returns
-------
df : pandas data frame
"""
filename, file_extension = os.path.splitext(file_name)
if file_extension=='.csv':
df = pd.read_c... | python | def file_to_df(file_name):
"""Read in file and return pandas data_frame.
Parameters
----------
filename : Filename including path.
Returns
-------
df : pandas data frame
"""
filename, file_extension = os.path.splitext(file_name)
if file_extension=='.csv':
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SUNCAT-Center/CatHub | cathub/reaction_networks.py | db_to_df | def db_to_df(db_file, slabs=None, facet=None):
"""Transforms database to data frame.
Parameters
----------
db_file : Path to database
slabs : Which metals (slabs) to select.
facet : Which facets to select.
Returns
-------
df : Data frame.
"""
systems = []
data = []
... | python | def db_to_df(db_file, slabs=None, facet=None):
"""Transforms database to data frame.
Parameters
----------
db_file : Path to database
slabs : Which metals (slabs) to select.
facet : Which facets to select.
Returns
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df : Data frame.
"""
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SUNCAT-Center/CatHub | cathub/reaction_networks.py | unique_reactions | def unique_reactions(df):
"""Identifies unique elementary reactions in data frame.
Parameters
----------
df : Data frame.
Returns
-------
reaction_list : List of unique elementary reactions.
"""
reaction_list =[]
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Parameters
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df : Data frame.
Returns
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reaction_list : List of unique elementary reactions.
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SUNCAT-Center/CatHub | cathub/reaction_networks.py | Adsorbate.get_helmholtz_energy | def get_helmholtz_energy(self, temperature, electronic_energy=0, verbose=False):
"""Returns the Helmholtz energy of an adsorbed molecule.
Parameters
----------
temperature : numeric
temperature in K
electronic_energy : numeric
energy in eV
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temperature : numeric
temperature in K
electronic_energy : numeric
energy in eV
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SUNCAT-Center/CatHub | cathub/reaction_networks.py | GasMolecule.get_vib_energies | def get_vib_energies(self):
"""Returns a list of vibration in energy units eV.
Returns
-------
vibs : list of vibrations in eV
"""
vibs = self.molecule_dict[self.name]['vibrations']
vibs = np.array(vibs) * cm2ev
return (vibs) | python | def get_vib_energies(self):
"""Returns a list of vibration in energy units eV.
Returns
-------
vibs : list of vibrations in eV
"""
vibs = self.molecule_dict[self.name]['vibrations']
vibs = np.array(vibs) * cm2ev
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SUNCAT-Center/CatHub | cathub/reaction_networks.py | ReactionNetwork.set_intermediates | def set_intermediates(self, intermediates, betas=None, transition_states=None):
"""Sets up intermediates and specifies whether it's an electrochemical step.
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intermediate... | python | def set_intermediates(self, intermediates, betas=None, transition_states=None):
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"""Return the current debugger instance, or create if none."""
sdb = _current[0]
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Return a list of all keywords, built-in functions and names currently
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matches = []
n = len(text)
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restran/mountains | mountains/encoding/converter.py | dec2str | def dec2str(n):
"""
decimal number to string.
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if len(s) % 2 != 0:
s = '0' + s
return hex2str(s) | python | def dec2str(n):
"""
decimal number to string.
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"""
Binary to string.
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ret = []
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>>> n.to_bytes(2, 'big')
b'\x00P'
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kytos/kytos-utils | kytos/utils/client.py | CommonClient.make_request | def make_request(endpoint, **kwargs):
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method = kwargs.get('method', 'GET')
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"""Send a request to server."""
data = kwargs.get('json', [])
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kytos/kytos-utils | kytos/utils/client.py | NAppsClient.get_napps | def get_napps(self):
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endpoint = os.path.join(self._config.get('napps', 'api'), 'napps', '')
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kytos/kytos-utils | kytos/utils/client.py | NAppsClient.get_napp | def get_napp(self, username, name):
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kytos/kytos-utils | kytos/utils/client.py | NAppsClient.reload_napps | def reload_napps(self, napps=None):
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napp (list): NApp list to be reload.
Raises:
requests.HTTPError: When there's a server error.
"""
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lobocv/crashreporter | crashreporter/crashreporter.py | CrashReporter.setup_smtp | def setup_smtp(self, host, port, user, passwd, recipients, **kwargs):
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Enable the crash reporter. CrashReporter is defaulted to be enabled on creation.
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lobocv/crashreporter | crashreporter/crashreporter.py | CrashReporter.disable | def disable(self):
"""
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Disable the crash reporter. No reports will be sent or saved.
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lobocv/crashreporter | crashreporter/crashreporter.py | CrashReporter.subject | def subject(self):
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Return a string to be used as the email subject line.
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Save the crash report to a file. Keeping the last `offline_report_limit` files in a cyclical FIFO buffer.
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kytos/kytos-utils | kytos/cli/commands/web/api.py | WebAPI.update | def update(cls, args):
"""Call the method to update the Web UI."""
kytos_api = KytosConfig().config.get('kytos', 'api')
url = f"{kytos_api}api/kytos/core/web/update"
version = args["<version>"]
if version:
url += f"/{version}"
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result = reques... | python | def update(cls, args):
"""Call the method to update the Web UI."""
kytos_api = KytosConfig().config.get('kytos', 'api')
url = f"{kytos_api}api/kytos/core/web/update"
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kytos/kytos-utils | kytos/cli/commands/napps/api.py | NAppsAPI.disable | def disable(cls, args):
"""Disable subcommand."""
mgr = NAppsManager()
if args['all']:
napps = mgr.get_enabled()
else:
napps = args['<napp>']
for napp in napps:
mgr.set_napp(*napp)
LOG.info('NApp %s:', mgr.napp_id)
cls... | python | def disable(cls, args):
"""Disable subcommand."""
mgr = NAppsManager()
if args['all']:
napps = mgr.get_enabled()
else:
napps = args['<napp>']
for napp in napps:
mgr.set_napp(*napp)
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kytos/kytos-utils | kytos/cli/commands/napps/api.py | NAppsAPI.disable_napp | def disable_napp(mgr):
"""Disable a NApp."""
if mgr.is_enabled():
LOG.info(' Disabling...')
mgr.disable()
LOG.info(' Disabled.')
else:
LOG.error(" NApp isn't enabled.") | python | def disable_napp(mgr):
"""Disable a NApp."""
if mgr.is_enabled():
LOG.info(' Disabling...')
mgr.disable()
LOG.info(' Disabled.')
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kytos/kytos-utils | kytos/cli/commands/napps/api.py | NAppsAPI.enable | def enable(cls, args):
"""Enable subcommand."""
mgr = NAppsManager()
if args['all']:
napps = mgr.get_disabled()
else:
napps = args['<napp>']
cls.enable_napps(napps) | python | def enable(cls, args):
"""Enable subcommand."""
mgr = NAppsManager()
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napps = mgr.get_disabled()
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kytos/kytos-utils | kytos/cli/commands/napps/api.py | NAppsAPI.enable_napp | def enable_napp(cls, mgr):
"""Install one NApp using NAppManager object."""
try:
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LOG.info(' Enabling...')
mgr.enable()
LOG.info(' Enabled.')
except (FileNotFoundError, PermissionError) as exception:
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"""Install one NApp using NAppManager object."""
try:
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LOG.info(' Enabling...')
mgr.enable()
LOG.info(' Enabled.')
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kytos/kytos-utils | kytos/cli/commands/napps/api.py | NAppsAPI.enable_napps | def enable_napps(cls, napps):
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napps (list): List of NApps.
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"""Enable a list of NApps.
Args:
napps (list): List of NApps.
"""
mgr = NAppsManager()
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kytos/kytos-utils | kytos/cli/commands/napps/api.py | NAppsAPI.uninstall | def uninstall(cls, args):
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"""
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"""Uninstall and delete NApps.
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"""
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kytos/kytos-utils | kytos/cli/commands/napps/api.py | NAppsAPI.install_napps | def install_napps(cls, napps):
"""Install local or remote NApps.
This method is recursive, it will install each napps and your
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"""
mgr = NAppsManager()
for napp in napps:
mgr.set_napp(*napp)
LOG.info(' NApp %s:', mgr.napp_id)
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"""Install local or remote NApps.
This method is recursive, it will install each napps and your
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mgr = NAppsManager()
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kytos/kytos-utils | kytos/cli/commands/napps/api.py | NAppsAPI.install_napp | def install_napp(cls, mgr):
"""Install a NApp.
Raises:
KytosException: If a NApp hasn't been found.
"""
try:
LOG.info(' Searching local NApp...')
mgr.install_local()
LOG.info(' Found and installed.')
except FileNotFoundError... | python | def install_napp(cls, mgr):
"""Install a NApp.
Raises:
KytosException: If a NApp hasn't been found.
"""
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LOG.info(' Searching local NApp...')
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kytos/kytos-utils | kytos/cli/commands/napps/api.py | NAppsAPI.search | def search(cls, args):
"""Search for NApps in NApps server matching a pattern."""
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pat_str = '.*{}.*'.format(safe_shell_pat)
pattern = re.compile(pat_str, re.IGNORECASE)
remote_json = NAppsManager.search(pattern)
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"""Search for NApps in NApps server matching a pattern."""
safe_shell_pat = re.escape(args['<pattern>']).replace(r'\*', '.*')
pat_str = '.*{}.*'.format(safe_shell_pat)
pattern = re.compile(pat_str, re.IGNORECASE)
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kytos/kytos-utils | kytos/cli/commands/napps/api.py | NAppsAPI._print_napps | def _print_napps(cls, napp_list):
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mgr = NAppsManager()
enabled = mgr.get_enabled()
installed = mgr.get_installed()
napps = []
for napp, desc in sorted(napp_list):
status = 'i' if napp in installed else '-'
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"""Format the NApp list to be printed."""
mgr = NAppsManager()
enabled = mgr.get_enabled()
installed = mgr.get_installed()
napps = []
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kytos/kytos-utils | kytos/cli/commands/napps/api.py | NAppsAPI.list | def list(cls, args): # pylint: disable=unused-argument
"""List all installed NApps and inform whether they are enabled."""
mgr = NAppsManager()
# Add status
napps = [napp + ('[ie]',) for napp in mgr.get_enabled()]
napps += [napp + ('[i-]',) for napp in mgr.get_disabled()]
... | python | def list(cls, args): # pylint: disable=unused-argument
"""List all installed NApps and inform whether they are enabled."""
mgr = NAppsManager()
# Add status
napps = [napp + ('[ie]',) for napp in mgr.get_enabled()]
napps += [napp + ('[i-]',) for napp in mgr.get_disabled()]
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kytos/kytos-utils | kytos/cli/commands/napps/api.py | NAppsAPI.print_napps | def print_napps(napps):
"""Print status, name and description."""
if not napps:
print('No NApps found.')
return
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"""Print status, name and description."""
if not napps:
print('No NApps found.')
return
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name_w = max(len(n[1]) for n in napps)
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kytos/kytos-utils | kytos/cli/commands/napps/api.py | NAppsAPI.delete | def delete(args):
"""Delete NApps from server."""
mgr = NAppsManager()
for napp in args['<napp>']:
mgr.set_napp(*napp)
LOG.info('Deleting NApp %s from server...', mgr.napp_id)
try:
mgr.delete()
LOG.info(' Deleted.')
... | python | def delete(args):
"""Delete NApps from server."""
mgr = NAppsManager()
for napp in args['<napp>']:
mgr.set_napp(*napp)
LOG.info('Deleting NApp %s from server...', mgr.napp_id)
try:
mgr.delete()
LOG.info(' Deleted.')
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kytos/kytos-utils | kytos/cli/commands/napps/api.py | NAppsAPI.reload | def reload(cls, args):
"""Reload NApps code."""
LOG.info('Reloading NApps...')
mgr = NAppsManager()
try:
if args['all']:
mgr.reload(None)
else:
napps = args['<napp>']
mgr.reload(napps)
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"""Reload NApps code."""
LOG.info('Reloading NApps...')
mgr = NAppsManager()
try:
if args['all']:
mgr.reload(None)
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mgr.reload(napps)
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KE-works/pykechain | pykechain/models/property_reference.py | ReferenceProperty.choices | def choices(self):
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biosignalsnotebooks/biosignalsnotebooks | header_footer/old/osf_notebook_class.py | opensignals_hierarchy | def opensignals_hierarchy(root=None, update=False, clone=False):
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Function that generates the OpenSignalsTools Notebooks File Hierarchy programatically.
----------
Parameters
----------
root : None or str
The file path where the OpenSignalsTools Environment will be stored.
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Internal function that is used for generation of the page where notebooks are organized by
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----------
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----------
notebook_object : notebook object
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biosignalsnotebooks/biosignalsnotebooks | header_footer/old/osf_notebook_class.py | notebook.add_markdown_cell | def add_markdown_cell(self, content, tags=None):
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----------
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----------
content : str
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biosignalsnotebooks/biosignalsnotebooks | header_footer/old/osf_notebook_class.py | notebook.add_code_cell | def add_code_cell(self, content, tags=None):
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content : str
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mozilla/FoxPuppet | foxpuppet/windows/browser/navbar.py | NavBar.is_tracking_shield_displayed | def is_tracking_shield_displayed(self):
"""Tracking Protection shield.
Returns:
bool: True or False if the Tracking Shield is displayed.
"""
with self.selenium.context(self.selenium.CONTEXT_CHROME):
if self.window.firefox_version >= 63: # Bug 1471713, 1476218
... | python | def is_tracking_shield_displayed(self):
"""Tracking Protection shield.
Returns:
bool: True or False if the Tracking Shield is displayed.
"""
with self.selenium.context(self.selenium.CONTEXT_CHROME):
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sontek/bulby | bulby/client.py | HueBridgeClient.validate_registration | def validate_registration(self):
'''
Checks if the device + username have already been registered with the
bridge.
'''
url = '/api/%s' % self.username
response = self.make_request('GET', url)
if 'error' in response:
return False
return True | python | def validate_registration(self):
'''
Checks if the device + username have already been registered with the
bridge.
'''
url = '/api/%s' % self.username
response = self.make_request('GET', url)
if 'error' in response:
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sontek/bulby | bulby/client.py | HueBridgeClient.connect | def connect(self):
'''
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'''
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return True
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'devicetype': self.device_type,
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'''
Registers a new device + username with the bridge
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# Don't try to register if we already have
if self.validate_registration():
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sontek/bulby | bulby/client.py | HueBridgeClient.get_lights | def get_lights(self):
'''
Lists all available lights on the bridge.
'''
url = '/api/%s/lights' % self.username
response = self.make_request('GET', url)
lights = []
# Did we get a success response back?
# error responses look like:
# [{'error': {'ad... | python | def get_lights(self):
'''
Lists all available lights on the bridge.
'''
url = '/api/%s/lights' % self.username
response = self.make_request('GET', url)
lights = []
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sontek/bulby | bulby/client.py | HueBridgeClient.set_color | def set_color(self, light_id, hex_value, brightness=None):
'''
This will set the light color based on a hex value
'''
light = self.get_light(light_id)
xy = get_xy_from_hex(hex_value)
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'xy': [xy.x, xy.y],
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'''
This will set the light color based on a hex value
'''
light = self.get_light(light_id)
xy = get_xy_from_hex(hex_value)
data = {
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biosignalsnotebooks/biosignalsnotebooks | biosignalsnotebooks/build/lib/biosignalsnotebooks/external_packages/novainstrumentation/tools.py | plotfft | def plotfft(s, fmax, doplot=False):
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sontek/bulby | bulby/ssdp.py | discover | def discover(service, timeout=5, retries=5):
'''
Discovers services on a network using the SSDP Protocol.
'''
group = ('239.255.255.250', 1900)
message = '\r\n'.join([
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so... | python | def discover(service, timeout=5, retries=5):
'''
Discovers services on a network using the SSDP Protocol.
'''
group = ('239.255.255.250', 1900)
message = '\r\n'.join([
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SuryaSankar/flask-sqlalchemy-booster | flask_sqlalchemy_booster/model_booster/queryable_mixin.py | QueryableMixin._isinstance | def _isinstance(self, model, raise_error=True):
"""Checks if the specified model instance matches the class model.
By default this method will raise a `ValueError` if the model is not of
expected type.
Args:
model (Model) : The instance to be type checked
raise... | python | def _isinstance(self, model, raise_error=True):
"""Checks if the specified model instance matches the class model.
By default this method will raise a `ValueError` if the model is not of
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Args:
model (Model) : The instance to be type checked
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SuryaSankar/flask-sqlalchemy-booster | flask_sqlalchemy_booster/model_booster/queryable_mixin.py | QueryableMixin._preprocess_params | def _preprocess_params(cls, kwargs):
"""Returns a preprocessed dictionary of parameters.
Use this to filter the kwargs passed to `new`, `create`,
`build` methods.
Args:
**kwargs: a dictionary of parameters
"""
# kwargs.pop('csrf_token', None)
for att... | python | def _preprocess_params(cls, kwargs):
"""Returns a preprocessed dictionary of parameters.
Use this to filter the kwargs passed to `new`, `create`,
`build` methods.
Args:
**kwargs: a dictionary of parameters
"""
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SuryaSankar/flask-sqlalchemy-booster | flask_sqlalchemy_booster/model_booster/queryable_mixin.py | QueryableMixin.update | def update(self, **kwargs):
"""Updates an instance.
Args:
**kwargs : Arbitrary keyword arguments. Column names are
keywords and their new values are the values.
Examples:
>>> customer.update(email="newemail@x.com", name="new")
"""
kwa... | python | def update(self, **kwargs):
"""Updates an instance.
Args:
**kwargs : Arbitrary keyword arguments. Column names are
keywords and their new values are the values.
Examples:
>>> customer.update(email="newemail@x.com", name="new")
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SuryaSankar/flask-sqlalchemy-booster | flask_sqlalchemy_booster/model_booster/queryable_mixin.py | QueryableMixin.filter_by | def filter_by(cls, **kwargs):
"""Same as SQLAlchemy's filter_by. Additionally this accepts
two special keyword arguments `limit` and `reverse` for limiting
the results and reversing the order respectively.
Args:
**kwargs: filter parameters
Examples:
>>... | python | def filter_by(cls, **kwargs):
"""Same as SQLAlchemy's filter_by. Additionally this accepts
two special keyword arguments `limit` and `reverse` for limiting
the results and reversing the order respectively.
Args:
**kwargs: filter parameters
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SuryaSankar/flask-sqlalchemy-booster | flask_sqlalchemy_booster/model_booster/queryable_mixin.py | QueryableMixin.count | def count(cls, *criterion, **kwargs):
"""Returns a count of the instances meeting the specified
filter criterion and kwargs.
Examples:
>>> User.count()
500
>>> User.count(country="India")
300
>>> User.count(User.age > 50, country="I... | python | def count(cls, *criterion, **kwargs):
"""Returns a count of the instances meeting the specified
filter criterion and kwargs.
Examples:
>>> User.count()
500
>>> User.count(country="India")
300
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SuryaSankar/flask-sqlalchemy-booster | flask_sqlalchemy_booster/model_booster/queryable_mixin.py | QueryableMixin.new | def new(cls, **kwargs):
"""Returns a new, unsaved instance of the model class.
"""
kwargs = cls.preprocess_kwargs_before_new(kwargs)
if cls.__mapper__.polymorphic_on is not None:
discriminator_key = cls.__mapper__.polymorphic_on.name
discriminator_val = kwargs.ge... | python | def new(cls, **kwargs):
"""Returns a new, unsaved instance of the model class.
"""
kwargs = cls.preprocess_kwargs_before_new(kwargs)
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SuryaSankar/flask-sqlalchemy-booster | flask_sqlalchemy_booster/model_booster/queryable_mixin.py | QueryableMixin.add | def add(cls, model, commit=True):
"""Adds a model instance to session and commits the
transaction.
Args:
model: The instance to add.
Examples:
>>> customer = Customer.new(name="hari", email="hari@gmail.com")
>>> Customer.add(customer)
... | python | def add(cls, model, commit=True):
"""Adds a model instance to session and commits the
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Args:
model: The instance to add.
Examples:
>>> customer = Customer.new(name="hari", email="hari@gmail.com")
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SuryaSankar/flask-sqlalchemy-booster | flask_sqlalchemy_booster/model_booster/queryable_mixin.py | QueryableMixin.add_all | def add_all(cls, models, commit=True, check_type=False):
"""Batch method for adding a list of model instances
to the db in one get_or_404.
Args:
models (list): A list of the instances to add.
commit (bool, optional): Defaults to True. If False, the
trans... | python | def add_all(cls, models, commit=True, check_type=False):
"""Batch method for adding a list of model instances
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Args:
models (list): A list of the instances to add.
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SuryaSankar/flask-sqlalchemy-booster | flask_sqlalchemy_booster/model_booster/queryable_mixin.py | QueryableMixin.get | def get(cls, keyval, key='id', user_id=None):
"""Fetches a single instance which has value `keyval`
for the attribute `key`.
Args:
keyval: The value of the attribute.
key (str, optional): The attribute to search by. By default,
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Ret... | python | def get(cls, keyval, key='id', user_id=None):
"""Fetches a single instance which has value `keyval`
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Args:
keyval: The value of the attribute.
key (str, optional): The attribute to search by. By default,
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SuryaSankar/flask-sqlalchemy-booster | flask_sqlalchemy_booster/model_booster/queryable_mixin.py | QueryableMixin.get_all | def get_all(cls, keyvals, key='id', user_id=None):
"""Works like a map function from keyvals to instances.
Args:
keyvals(list): The list of values of the attribute.
key (str, optional): The attribute to search by. By default, it is
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Returns:
... | python | def get_all(cls, keyvals, key='id', user_id=None):
"""Works like a map function from keyvals to instances.
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keyvals(list): The list of values of the attribute.
key (str, optional): The attribute to search by. By default, it is
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SuryaSankar/flask-sqlalchemy-booster | flask_sqlalchemy_booster/model_booster/queryable_mixin.py | QueryableMixin.create | def create(cls, **kwargs):
"""Initializes a new instance, adds it to the db and commits
the transaction.
Args:
**kwargs: The keyword arguments for the init constructor.
Examples:
>>> user = User.create(name="Vicky", email="vicky@h.com")
>>> user.id... | python | def create(cls, **kwargs):
"""Initializes a new instance, adds it to the db and commits
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Args:
**kwargs: The keyword arguments for the init constructor.
Examples:
>>> user = User.create(name="Vicky", email="vicky@h.com")
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SuryaSankar/flask-sqlalchemy-booster | flask_sqlalchemy_booster/model_booster/queryable_mixin.py | QueryableMixin.find_or_create | def find_or_create(cls, **kwargs):
"""Checks if an instance already exists by filtering with the
kwargs. If yes, returns that instance. If not, creates a new
instance with kwargs and returns it
Args:
**kwargs: The keyword arguments which are used for filtering
... | python | def find_or_create(cls, **kwargs):
"""Checks if an instance already exists by filtering with the
kwargs. If yes, returns that instance. If not, creates a new
instance with kwargs and returns it
Args:
**kwargs: The keyword arguments which are used for filtering
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SuryaSankar/flask-sqlalchemy-booster | flask_sqlalchemy_booster/model_booster/queryable_mixin.py | QueryableMixin.update_or_create | def update_or_create(cls, **kwargs):
"""Checks if an instance already exists by filtering with the
kwargs. If yes, updates the instance with new kwargs and
returns that instance. If not, creates a new
instance with kwargs and returns it.
Args:
**kwargs: The keyword ... | python | def update_or_create(cls, **kwargs):
"""Checks if an instance already exists by filtering with the
kwargs. If yes, updates the instance with new kwargs and
returns that instance. If not, creates a new
instance with kwargs and returns it.
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SuryaSankar/flask-sqlalchemy-booster | flask_sqlalchemy_booster/model_booster/queryable_mixin.py | QueryableMixin.create_all | def create_all(cls, list_of_kwargs):
"""Batch method for creating a list of instances
Args:
list_of_kwargs(list of dicts): hereA list of dicts where
each dict denotes the keyword args that you would pass
to the create method separately
Examples:
... | python | def create_all(cls, list_of_kwargs):
"""Batch method for creating a list of instances
Args:
list_of_kwargs(list of dicts): hereA list of dicts where
each dict denotes the keyword args that you would pass
to the create method separately
Examples:
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SuryaSankar/flask-sqlalchemy-booster | flask_sqlalchemy_booster/model_booster/queryable_mixin.py | QueryableMixin.find_or_create_all | def find_or_create_all(cls, list_of_kwargs, keys=[]):
"""Batch method for querying for a list of instances and
creating them if required
Args:
list_of_kwargs(list of dicts): A list of dicts where
each dict denotes the keyword args that you would pass
... | python | def find_or_create_all(cls, list_of_kwargs, keys=[]):
"""Batch method for querying for a list of instances and
creating them if required
Args:
list_of_kwargs(list of dicts): A list of dicts where
each dict denotes the keyword args that you would pass
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SuryaSankar/flask-sqlalchemy-booster | flask_sqlalchemy_booster/model_booster/queryable_mixin.py | QueryableMixin.update_or_create_all | def update_or_create_all(cls, list_of_kwargs, keys=[]):
"""Batch method for updating a list of instances and
creating them if required
Args:
list_of_kwargs(list of dicts): A list of dicts where
each dict denotes the keyword args that you would pass
to... | python | def update_or_create_all(cls, list_of_kwargs, keys=[]):
"""Batch method for updating a list of instances and
creating them if required
Args:
list_of_kwargs(list of dicts): A list of dicts where
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SuryaSankar/flask-sqlalchemy-booster | flask_sqlalchemy_booster/model_booster/queryable_mixin.py | QueryableMixin.build | def build(cls, **kwargs):
"""Similar to create. But the transaction is not committed
Args:
**kwargs : The keyword arguments for the constructor
Returns:
A model instance which has been added to db session. But session
transaction has not been committed yet... | python | def build(cls, **kwargs):
"""Similar to create. But the transaction is not committed
Args:
**kwargs : The keyword arguments for the constructor
Returns:
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SuryaSankar/flask-sqlalchemy-booster | flask_sqlalchemy_booster/model_booster/queryable_mixin.py | QueryableMixin.find_or_build | def find_or_build(cls, **kwargs):
"""Checks if an instance already exists in db with these kwargs else
returns a new, saved instance of the service's model class.
Args:
**kwargs: instance parameters
"""
keys = kwargs.pop('keys') if 'keys' in kwargs else []
re... | python | def find_or_build(cls, **kwargs):
"""Checks if an instance already exists in db with these kwargs else
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Args:
**kwargs: instance parameters
"""
keys = kwargs.pop('keys') if 'keys' in kwargs else []
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SuryaSankar/flask-sqlalchemy-booster | flask_sqlalchemy_booster/model_booster/queryable_mixin.py | QueryableMixin.build_all | def build_all(cls, list_of_kwargs):
"""Similar to `create_all`. But transaction is not committed.
"""
return cls.add_all([
cls.new(**kwargs) for kwargs in list_of_kwargs], commit=False) | python | def build_all(cls, list_of_kwargs):
"""Similar to `create_all`. But transaction is not committed.
"""
return cls.add_all([
cls.new(**kwargs) for kwargs in list_of_kwargs], commit=False) | [
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SuryaSankar/flask-sqlalchemy-booster | flask_sqlalchemy_booster/model_booster/queryable_mixin.py | QueryableMixin.find_or_build_all | def find_or_build_all(cls, list_of_kwargs):
"""Similar to `find_or_create_all`. But transaction is not committed.
"""
return cls.add_all([cls.first(**kwargs) or cls.new(**kwargs)
for kwargs in list_of_kwargs], commit=False) | python | def find_or_build_all(cls, list_of_kwargs):
"""Similar to `find_or_create_all`. But transaction is not committed.
"""
return cls.add_all([cls.first(**kwargs) or cls.new(**kwargs)
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SuryaSankar/flask-sqlalchemy-booster | flask_sqlalchemy_booster/model_booster/queryable_mixin.py | QueryableMixin.update_all | def update_all(cls, *criterion, **kwargs):
"""Batch method for updating all instances obeying the criterion
Args:
*criterion: SQLAlchemy query criterion for filtering what
instances to update
**kwargs: The parameters to be updated
Examples:
... | python | def update_all(cls, *criterion, **kwargs):
"""Batch method for updating all instances obeying the criterion
Args:
*criterion: SQLAlchemy query criterion for filtering what
instances to update
**kwargs: The parameters to be updated
Examples:
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biosignalsnotebooks/biosignalsnotebooks | biosignalsnotebooks/build/lib/biosignalsnotebooks/external_packages/novainstrumentation/peakdelta.py | peakdelta | def peakdelta(v, delta, x=None):
"""
Returns two arrays
function [maxtab, mintab]=peakdelta(v, delta, x)
%PEAKDET Detect peaks in a vector
% [MAXTAB, MINTAB] = peakdelta(V, DELTA) finds the local
% maxima and minima ("peaks") in the vector V.
% MAXTAB and MINTAB consist... | python | def peakdelta(v, delta, x=None):
"""
Returns two arrays
function [maxtab, mintab]=peakdelta(v, delta, x)
%PEAKDET Detect peaks in a vector
% [MAXTAB, MINTAB] = peakdelta(V, DELTA) finds the local
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thomasdelaet/python-velbus | velbus/modules/vmbpbn.py | VMB2PBNModule.on_status_update | def on_status_update(self, channel, callback):
"""
Callback to execute on status of update of channel
"""
if channel not in self._callbacks:
self._callbacks[channel] = []
self._callbacks[channel].append(callback) | python | def on_status_update(self, channel, callback):
"""
Callback to execute on status of update of channel
"""
if channel not in self._callbacks:
self._callbacks[channel] = []
self._callbacks[channel].append(callback) | [
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KE-works/pykechain | pykechain/utils.py | temp_chdir | def temp_chdir(cwd=None):
"""
Create and return a temporary directory which you can use as a context manager.
When you are out of the context the temprorary disk gets erased.
.. versionadded:: 2.3
:param cwd: path to change working directory back to path when out of context
:type cwd: basestr... | python | def temp_chdir(cwd=None):
"""
Create and return a temporary directory which you can use as a context manager.
When you are out of the context the temprorary disk gets erased.
.. versionadded:: 2.3
:param cwd: path to change working directory back to path when out of context
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