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google/python-gflags | gflags/_helpers.py | define_both_methods | def define_both_methods(class_name, class_dict, old_name, new_name): # pylint: disable=invalid-name
"""Function to help CamelCase to PEP8 style class methods migration.
For any class definition:
1. Assert it does not define both old and new methods,
otherwise it does not work.
2. If it define... | python | def define_both_methods(class_name, class_dict, old_name, new_name): # pylint: disable=invalid-name
"""Function to help CamelCase to PEP8 style class methods migration.
For any class definition:
1. Assert it does not define both old and new methods,
otherwise it does not work.
2. If it define... | [
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For any class definition:
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google/python-gflags | gflags/flagvalues.py | FlagValues._IsUnparsedFlagAccessAllowed | def _IsUnparsedFlagAccessAllowed(self, name):
"""Determine whether to allow unparsed flag access or not."""
if _UNPARSED_FLAG_ACCESS_ENV_NAME in os.environ:
# We've been told explicitly what to do.
allow_unparsed_flag_access = (
os.getenv(_UNPARSED_FLAG_ACCESS_ENV_NAME) == '1')
elif se... | python | def _IsUnparsedFlagAccessAllowed(self, name):
"""Determine whether to allow unparsed flag access or not."""
if _UNPARSED_FLAG_ACCESS_ENV_NAME in os.environ:
# We've been told explicitly what to do.
allow_unparsed_flag_access = (
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google/python-gflags | gflags/flagvalues.py | FlagValues._AssertValidators | def _AssertValidators(self, validators):
"""Assert if all validators in the list are satisfied.
Asserts validators in the order they were created.
Args:
validators: Iterable(validators.Validator), validators to be
verified
Raises:
AttributeError: if validators work with a non-existi... | python | def _AssertValidators(self, validators):
"""Assert if all validators in the list are satisfied.
Asserts validators in the order they were created.
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google/python-gflags | gflags/flagvalues.py | FlagValues._RemoveAllFlagAppearances | def _RemoveAllFlagAppearances(self, name):
"""Removes flag with name for all appearances.
A flag can be registered with its long name and an optional short name.
This method removes both of them. This is different than __delattr__.
Args:
name: Either flag's long name or short name.
Raises:
... | python | def _RemoveAllFlagAppearances(self, name):
"""Removes flag with name for all appearances.
A flag can be registered with its long name and an optional short name.
This method removes both of them. This is different than __delattr__.
Args:
name: Either flag's long name or short name.
Raises:
... | [
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google/python-gflags | gflags/flagvalues.py | FlagValues.GetHelp | def GetHelp(self, prefix='', include_special_flags=True):
"""Generates a help string for all known flags.
Args:
prefix: str, per-line output prefix.
include_special_flags: bool, whether to include description of
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Returns:
str, formatt... | python | def GetHelp(self, prefix='', include_special_flags=True):
"""Generates a help string for all known flags.
Args:
prefix: str, per-line output prefix.
include_special_flags: bool, whether to include description of
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google/python-gflags | gflags/flagvalues.py | FlagValues.__RenderOurModuleKeyFlags | def __RenderOurModuleKeyFlags(self, module, output_lines, prefix=''):
"""Generates a help string for the key flags of a given module.
Args:
module: A module object or a module name (a string).
output_lines: A list of strings. The generated help message
lines will be appended to this list.
... | python | def __RenderOurModuleKeyFlags(self, module, output_lines, prefix=''):
"""Generates a help string for the key flags of a given module.
Args:
module: A module object or a module name (a string).
output_lines: A list of strings. The generated help message
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google/python-gflags | gflags/flagvalues.py | FlagValues.ModuleHelp | def ModuleHelp(self, module):
"""Describe the key flags of a module.
Args:
module: A module object or a module name (a string).
Returns:
string describing the key flags of a module.
"""
helplist = []
self.__RenderOurModuleKeyFlags(module, helplist)
return '\n'.join(helplist) | python | def ModuleHelp(self, module):
"""Describe the key flags of a module.
Args:
module: A module object or a module name (a string).
Returns:
string describing the key flags of a module.
"""
helplist = []
self.__RenderOurModuleKeyFlags(module, helplist)
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google/python-gflags | gflags/__init__.py | register_multi_flags_validator | def register_multi_flags_validator(flag_names,
multi_flags_checker,
message='Flags validation failed',
flag_values=FLAGS):
"""Adds a constraint to multiple flags.
The constraint is validated when flags are init... | python | def register_multi_flags_validator(flag_names,
multi_flags_checker,
message='Flags validation failed',
flag_values=FLAGS):
"""Adds a constraint to multiple flags.
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google/python-gflags | gflags/__init__.py | multi_flags_validator | def multi_flags_validator(flag_names,
message='Flag validation failed',
flag_values=FLAGS):
"""A function decorator for defining a multi-flag validator.
Registers the decorated function as a validator for flag_names, e.g.
@gflags.multi_flags_validator(['foo', ... | python | def multi_flags_validator(flag_names,
message='Flag validation failed',
flag_values=FLAGS):
"""A function decorator for defining a multi-flag validator.
Registers the decorated function as a validator for flag_names, e.g.
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google/python-gflags | gflags/__init__.py | mark_flag_as_required | def mark_flag_as_required(flag_name, flag_values=FLAGS):
"""Ensures that flag is not None during program execution.
Registers a flag validator, which will follow usual validator rules.
Important note: validator will pass for any non-None value, such as False,
0 (zero), '' (empty string) and so on.
It is rec... | python | def mark_flag_as_required(flag_name, flag_values=FLAGS):
"""Ensures that flag is not None during program execution.
Registers a flag validator, which will follow usual validator rules.
Important note: validator will pass for any non-None value, such as False,
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google/python-gflags | gflags/__init__.py | mark_flags_as_mutual_exclusive | def mark_flags_as_mutual_exclusive(flag_names, required=False,
flag_values=FLAGS):
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Args:
flag_names: [str], a list of the flag names to be checked.
required: Boolean, if set, exactly one of the flags must be set.
... | python | def mark_flags_as_mutual_exclusive(flag_names, required=False,
flag_values=FLAGS):
"""Ensures that only one flag among flag_names is set.
Args:
flag_names: [str], a list of the flag names to be checked.
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google/python-gflags | gflags/__init__.py | DEFINE_enum | def DEFINE_enum( # pylint: disable=g-bad-name,redefined-builtin
name, default, enum_values, help, flag_values=FLAGS, module_name=None,
**args):
"""Registers a flag whose value can be any string from enum_values.
Args:
name: A string, the flag name.
default: The default value of the flag.
enum_... | python | def DEFINE_enum( # pylint: disable=g-bad-name,redefined-builtin
name, default, enum_values, help, flag_values=FLAGS, module_name=None,
**args):
"""Registers a flag whose value can be any string from enum_values.
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name: A string, the flag name.
default: The default value of the flag.
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google/python-gflags | gflags/__init__.py | DEFINE_list | def DEFINE_list( # pylint: disable=g-bad-name,redefined-builtin
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The flag value is parsed with a CSV parser.
Args:
name: A string, the flag name.
default: The default value of the f... | python | def DEFINE_list( # pylint: disable=g-bad-name,redefined-builtin
name, default, help, flag_values=FLAGS, **args):
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google/python-gflags | gflags/__init__.py | DEFINE_multi | def DEFINE_multi( # pylint: disable=g-bad-name,redefined-builtin
parser, serializer, name, default, help, flag_values=FLAGS,
module_name=None, **args):
"""Registers a generic MultiFlag that parses its args with a given parser.
Auxiliary function. Normal users should NOT use it directly.
Developers who... | python | def DEFINE_multi( # pylint: disable=g-bad-name,redefined-builtin
parser, serializer, name, default, help, flag_values=FLAGS,
module_name=None, **args):
"""Registers a generic MultiFlag that parses its args with a given parser.
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google/python-gflags | gflags/__init__.py | DEFINE_multi_float | def DEFINE_multi_float( # pylint: disable=g-bad-name,redefined-builtin
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flag_values=FLAGS, **args):
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flagname: Name of the flag being redefined.
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google/python-gflags | gflags/argument_parser.py | BooleanParser.convert | def convert(self, argument):
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return True
elif argument.lower() in ['false', 'f', '0']:
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output = io.BytesIO()
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shichao-an/soundmeter | soundmeter/meter.py | Meter.record | def record(self):
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Record PyAudio stream into StringIO output
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"""
while True:
frames = []
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Record PyAudio stream into StringIO output
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shichao-an/soundmeter | soundmeter/meter.py | Meter.get_threshold | def get_threshold(self):
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shichao-an/soundmeter | soundmeter/meter.py | Meter.collect_rms | def collect_rms(self, rms):
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chainside/btcpy | btcpy/structs/transaction.py | TimeBasedSequence.from_timedelta | def from_timedelta(cls, timedelta):
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chainside/btcpy | btcpy/lib/bech32.py | bech32_decode | def bech32_decode(bech):
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yourlabs/django-session-security | session_security/middleware.py | SessionSecurityMiddleware.process_request | def process_request(self, request):
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else:
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pythongssapi/python-gssapi | gssapi/creds.py | Credentials.name | def name(self):
"""Get the name associated with these credentials"""
return self.inquire(name=True, lifetime=False,
usage=False, mechs=False).name | python | def name(self):
"""Get the name associated with these credentials"""
return self.inquire(name=True, lifetime=False,
usage=False, mechs=False).name | [
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pythongssapi/python-gssapi | gssapi/creds.py | Credentials.acquire | def acquire(cls, name=None, lifetime=None, mechs=None, usage='both',
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"""Acquire GSSAPI credentials
This method acquires credentials. If the `store` argument is
used, the credentials will be acquired from the given
credential store (if supported). Otherwise... | python | def acquire(cls, name=None, lifetime=None, mechs=None, usage='both',
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"""Acquire GSSAPI credentials
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pythongssapi/python-gssapi | gssapi/creds.py | Credentials.store | def store(self, store=None, usage='both', mech=None,
overwrite=False, set_default=False):
"""Store these credentials into the given store
This method stores the current credentials into the specified
credentials store. If the default store is used, support for
:rfc:`5588`... | python | def store(self, store=None, usage='both', mech=None,
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"""Store these credentials into the given store
This method stores the current credentials into the specified
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pythongssapi/python-gssapi | gssapi/creds.py | Credentials.impersonate | def impersonate(self, name=None, lifetime=None, mechs=None,
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"""Impersonate a name using the current credentials
This method acquires credentials by impersonating another
name using the current credentials.
:requires-ext:`s4u`
Args:
... | python | def impersonate(self, name=None, lifetime=None, mechs=None,
usage='initiate'):
"""Impersonate a name using the current credentials
This method acquires credentials by impersonating another
name using the current credentials.
:requires-ext:`s4u`
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... | [
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pythongssapi/python-gssapi | gssapi/creds.py | Credentials.inquire | def inquire(self, name=True, lifetime=True, usage=True, mechs=True):
"""Inspect these credentials for information
This method inspects these credentials for information about them.
Args:
name (bool): get the name associated with the credentials
lifetime (bool): get the ... | python | def inquire(self, name=True, lifetime=True, usage=True, mechs=True):
"""Inspect these credentials for information
This method inspects these credentials for information about them.
Args:
name (bool): get the name associated with the credentials
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pythongssapi/python-gssapi | gssapi/creds.py | Credentials.inquire_by_mech | def inquire_by_mech(self, mech, name=True, init_lifetime=True,
accept_lifetime=True, usage=True):
"""Inspect these credentials for per-mechanism information
This method inspects these credentials for per-mechanism information
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Args:
mech (... | python | def inquire_by_mech(self, mech, name=True, init_lifetime=True,
accept_lifetime=True, usage=True):
"""Inspect these credentials for per-mechanism information
This method inspects these credentials for per-mechanism information
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pythongssapi/python-gssapi | gssapi/creds.py | Credentials.add | def add(self, name, mech, usage='both',
init_lifetime=None, accept_lifetime=None, impersonator=None,
store=None):
"""Acquire more credentials to add to the current set
This method works like :meth:`acquire`, except that it adds the
acquired credentials for a single mecha... | python | def add(self, name, mech, usage='both',
init_lifetime=None, accept_lifetime=None, impersonator=None,
store=None):
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pythongssapi/python-gssapi | gssapi/names.py | Name.display_as | def display_as(self, name_type):
"""
Display this name as the given name type.
This method attempts to display the current :class:`Name`
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Warning:
In MIT krb5 versions below 1.13.3, this method can segfau... | python | def display_as(self, name_type):
"""
Display this name as the given name type.
This method attempts to display the current :class:`Name`
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pythongssapi/python-gssapi | gssapi/names.py | Name.export | def export(self, composite=False):
"""Export this name as a token.
This method exports the name into a byte string which can then be
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Args:
composite (bool): whether or not use to a composite token --
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"""Export this name as a token.
This method exports the name into a byte string which can then be
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Args:
composite (bool): whether or not use to a composite token --
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pythongssapi/python-gssapi | gssapi/names.py | Name._inquire | def _inquire(self, **kwargs):
"""Inspect this name for information.
This method inspects the name for information.
If no keyword arguments are passed, all available information
is returned. Otherwise, only the keyword arguments that
are passed and set to `True` are returned.
... | python | def _inquire(self, **kwargs):
"""Inspect this name for information.
This method inspects the name for information.
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pythongssapi/python-gssapi | gssapi/mechs.py | Mechanism.from_sasl_name | def from_sasl_name(cls, name=None):
"""
Create a Mechanism from its SASL name
Args:
name (str): SASL name of the desired mechanism
Returns:
Mechanism: the desired mechanism
Raises:
GSSError
:requires-ext:`rfc5801`
"""
... | python | def from_sasl_name(cls, name=None):
"""
Create a Mechanism from its SASL name
Args:
name (str): SASL name of the desired mechanism
Returns:
Mechanism: the desired mechanism
Raises:
GSSError
:requires-ext:`rfc5801`
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pythongssapi/python-gssapi | gssapi/_utils.py | import_gssapi_extension | def import_gssapi_extension(name):
"""Import a GSSAPI extension module
This method imports a GSSAPI extension module based
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name (str): the name of the exten... | python | def import_gssapi_extension(name):
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This method imports a GSSAPI extension module based
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pythongssapi/python-gssapi | gssapi/_utils.py | inquire_property | def inquire_property(name, doc=None):
"""Creates a property based on an inquire result
This method creates a property that calls the
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Args:
name (str): the name of the 'inquire' result information
Returns:
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"""Creates a property based on an inquire result
This method creates a property that calls the
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Args:
name (str): the name of the 'inquire' result information
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pythongssapi/python-gssapi | gssapi/_utils.py | _encode_dict | def _encode_dict(d):
"""Encodes any relevant strings in a dict"""
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if isinstance(x, six.text_type):
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pythongssapi/python-gssapi | gssapi/_utils.py | catch_and_return_token | def catch_and_return_token(func, self, *args, **kwargs):
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pythongssapi/python-gssapi | gssapi/_utils.py | check_last_err | def check_last_err(func, self, *args, **kwargs):
"""Check and raise deferred errors before running the function
This method checks :python:`_last_err` before running the wrapped
function. If present and not None, the exception will be raised
with its original traceback.
"""
if self._last_err ... | python | def check_last_err(func, self, *args, **kwargs):
"""Check and raise deferred errors before running the function
This method checks :python:`_last_err` before running the wrapped
function. If present and not None, the exception will be raised
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theislab/scvelo | scvelo/plotting/velocity_graph.py | velocity_graph | def velocity_graph(adata, basis=None, vkey='velocity', which_graph='velocity', n_neighbors=10,
alpha=.8, perc=90, edge_width=.2, edge_color='grey', color=None, use_raw=None, layer=None,
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alpha=.8, perc=90, edge_width=.2, edge_color='grey', color=None, use_raw=None, layer=None,
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theislab/scvelo | scvelo/preprocessing/utils.py | cleanup | def cleanup(data, clean='layers', keep=None, copy=False):
"""Deletes attributes not needed.
Arguments
---------
data: :class:`~anndata.AnnData`
Annotated data matrix.
clean: `str` or list of `str` (default: `layers`)
Which attributes to consider for freeing memory.
keep: `str` o... | python | def cleanup(data, clean='layers', keep=None, copy=False):
"""Deletes attributes not needed.
Arguments
---------
data: :class:`~anndata.AnnData`
Annotated data matrix.
clean: `str` or list of `str` (default: `layers`)
Which attributes to consider for freeing memory.
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theislab/scvelo | scvelo/preprocessing/utils.py | filter_genes | def filter_genes(data, min_counts=None, min_cells=None, max_counts=None, max_cells=None,
min_counts_u=None, min_cells_u=None, max_counts_u=None, max_cells_u=None,
min_shared_counts=None, min_shared_cells=None, copy=False):
"""Filter genes based on number of cells or counts.
Ke... | python | def filter_genes(data, min_counts=None, min_cells=None, max_counts=None, max_cells=None,
min_counts_u=None, min_cells_u=None, max_counts_u=None, max_cells_u=None,
min_shared_counts=None, min_shared_cells=None, copy=False):
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theislab/scvelo | scvelo/preprocessing/utils.py | filter_genes_dispersion | def filter_genes_dispersion(data, flavor='seurat', min_disp=None, max_disp=None, min_mean=None, max_mean=None,
n_bins=20, n_top_genes=None, log=True, copy=False):
"""Extract highly variable genes.
The normalized dispersion is obtained by scaling with the mean and standard
deviati... | python | def filter_genes_dispersion(data, flavor='seurat', min_disp=None, max_disp=None, min_mean=None, max_mean=None,
n_bins=20, n_top_genes=None, log=True, copy=False):
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theislab/scvelo | scvelo/preprocessing/utils.py | normalize_per_cell | def normalize_per_cell(data, counts_per_cell_after=None, counts_per_cell=None, key_n_counts=None,
max_proportion_per_cell=None, use_initial_size=True, layers=['spliced', 'unspliced'],
enforce=False, copy=False):
"""Normalize each cell by total counts over all genes.
... | python | def normalize_per_cell(data, counts_per_cell_after=None, counts_per_cell=None, key_n_counts=None,
max_proportion_per_cell=None, use_initial_size=True, layers=['spliced', 'unspliced'],
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theislab/scvelo | scvelo/preprocessing/utils.py | filter_and_normalize | def filter_and_normalize(data, min_counts=None, min_counts_u=None, min_cells=None, min_cells_u=None,
min_shared_counts=None, min_shared_cells=None, n_top_genes=None, flavor='seurat', log=True,
copy=False):
"""Filtering, normalization and log transform
Expects n... | python | def filter_and_normalize(data, min_counts=None, min_counts_u=None, min_cells=None, min_cells_u=None,
min_shared_counts=None, min_shared_cells=None, n_top_genes=None, flavor='seurat', log=True,
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scv.pp.filter_genes(adata)
scv.pp.normalize_per_cell(adata)
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theislab/scvelo | scvelo/datasets.py | toy_data | def toy_data(n_obs):
"""
Randomly samples from the Dentate Gyrus dataset.
Arguments
---------
n_obs: `int`
Size of the sampled dataset
Returns
-------
Returns `adata` object
"""
"""Random samples from Dentate Gyrus.
"""
adata = dentategyrus()
indices = np.r... | python | def toy_data(n_obs):
"""
Randomly samples from the Dentate Gyrus dataset.
Arguments
---------
n_obs: `int`
Size of the sampled dataset
Returns
-------
Returns `adata` object
"""
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theislab/scvelo | scvelo/datasets.py | forebrain | def forebrain():
"""Developing human forebrain.
Forebrain tissue of a week 10 embryo, focusing on the glutamatergic neuronal lineage.
Returns
-------
Returns `adata` object
"""
filename = 'data/ForebrainGlut/hgForebrainGlut.loom'
url = 'http://pklab.med.harvard.edu/velocyto/hgForebrainG... | python | def forebrain():
"""Developing human forebrain.
Forebrain tissue of a week 10 embryo, focusing on the glutamatergic neuronal lineage.
Returns
-------
Returns `adata` object
"""
filename = 'data/ForebrainGlut/hgForebrainGlut.loom'
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theislab/scvelo | scvelo/settings.py | set_rcParams_scvelo | def set_rcParams_scvelo(fontsize=8, color_map=None, frameon=None):
"""Set matplotlib.rcParams to scvelo defaults."""
# dpi options (mpl default: 100, 100)
rcParams['figure.dpi'] = 100
rcParams['savefig.dpi'] = 150
# figure (mpl default: 0.125, 0.96, 0.15, 0.91)
rcParams['figure.figsize'] = (7,... | python | def set_rcParams_scvelo(fontsize=8, color_map=None, frameon=None):
"""Set matplotlib.rcParams to scvelo defaults."""
# dpi options (mpl default: 100, 100)
rcParams['figure.dpi'] = 100
rcParams['savefig.dpi'] = 150
# figure (mpl default: 0.125, 0.96, 0.15, 0.91)
rcParams['figure.figsize'] = (7,... | [
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theislab/scvelo | scvelo/read_load.py | merge | def merge(adata, ldata, copy=True):
"""Merges two annotated data matrices.
Arguments
---------
adata: :class:`~anndata.AnnData`
Annotated data matrix (reference data set).
ldata: :class:`~anndata.AnnData`
Annotated data matrix (to be merged into adata).
Returns
-------
... | python | def merge(adata, ldata, copy=True):
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Arguments
---------
adata: :class:`~anndata.AnnData`
Annotated data matrix (reference data set).
ldata: :class:`~anndata.AnnData`
Annotated data matrix (to be merged into adata).
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-------
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theislab/scvelo | scvelo/tools/velocity_graph.py | velocity_graph | def velocity_graph(data, vkey='velocity', xkey='Ms', tkey=None, basis=None, n_neighbors=None, n_recurse_neighbors=None,
random_neighbors_at_max=None, sqrt_transform=False, approx=False, copy=False):
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theislab/scvelo | scvelo/tools/optimization.py | optimize_NxN | def optimize_NxN(x, y, fit_offset=False, perc=None):
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theislab/scvelo | scvelo/tools/velocity_confidence.py | velocity_confidence | def velocity_confidence(data, vkey='velocity', copy=False):
"""Computes confidences of velocities.
Arguments
---------
data: :class:`~anndata.AnnData`
Annotated data matrix.
vkey: `str` (default: `'velocity'`)
Name of velocity estimates to be used.
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theislab/scvelo | scvelo/tools/velocity_confidence.py | velocity_confidence_transition | def velocity_confidence_transition(data, vkey='velocity', scale=10, copy=False):
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data: :class:`~anndata.AnnData`
Annotated data matrix.
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Name of velocity estimates to be used.
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theislab/scvelo | scvelo/tools/terminal_states.py | cell_fate | def cell_fate(data, groupby='clusters', disconnected_groups=None, self_transitions=False, n_neighbors=None, copy=False):
"""Computes individual cell endpoints
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data: :class:`~anndata.AnnData`
Annotated data matrix.
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theislab/scvelo | scvelo/preprocessing/moments.py | moments | def moments(data, n_neighbors=30, n_pcs=30, mode='connectivities', method='umap', metric='euclidean', use_rep=None,
recurse_neighbors=False, renormalize=False, copy=False):
"""Computes moments for velocity estimation.
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data: :class:`~anndata.AnnData`
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theislab/scvelo | scvelo/tools/transition_matrix.py | transition_matrix | def transition_matrix(adata, vkey='velocity', basis=None, backward=False, self_transitions=True, scale=10, perc=None,
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"""Computes transition ... | python | def transition_matrix(adata, vkey='velocity', basis=None, backward=False, self_transitions=True, scale=10, perc=None,
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rochars/trade | trade/context.py | Context.apply | def apply(self):
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rochars/trade | trade/occurrence.py | average_price | def average_price(quantity_1, price_1, quantity_2, price_2):
"""Calculates the average price between two asset states."""
return (quantity_1 * price_1 + quantity_2 * price_2) / \
(quantity_1 + quantity_2) | python | def average_price(quantity_1, price_1, quantity_2, price_2):
"""Calculates the average price between two asset states."""
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rochars/trade | trade/occurrence.py | Occurrence.update_holder | def update_holder(self, holder):
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casacore/python-casacore | casacore/fitting/fitting.py | fitserver.fitter | def fitter(self, n=0, ftype="real", colfac=1.0e-8, lmfac=1.0e-3):
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casacore/python-casacore | casacore/fitting/fitting.py | fitserver.done | def done(self, fid=0):
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casacore/python-casacore | casacore/fitting/fitting.py | fitserver.reset | def reset(self, fid=0):
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ret... | python | def reset(self, fid=0):
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casacore/python-casacore | casacore/fitting/fitting.py | fitserver.fitspoly | def fitspoly(self, n, x, y, sd=None, wt=1.0, fid=0):
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casacore/python-casacore | casacore/fitting/fitting.py | fitserver.functional | def functional(self, fnct, x, y, sd=None, wt=1.0, mxit=50, fid=0):
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casacore/python-casacore | casacore/fitting/fitting.py | fitserver.constraint | def constraint(self, n=-1, fid=0):
"""Obtain the set of orthogonal equations that make the solution of
the rank deficient normal equations possible.
:param fid: the id of the sub-fitter (numerical)
"""
c = self._getval("constr", fid)
if n < 0 or n > self.deficiency(fid)... | python | def constraint(self, n=-1, fid=0):
"""Obtain the set of orthogonal equations that make the solution of
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:param fid: the id of the sub-fitter (numerical)
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:param fid: the id of the sub-fitter (numerical)
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self._checkid(fid)
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casacore/python-casacore | casacore/measures/__init__.py | measures.set_data_path | def set_data_path(self, pth):
"""Set the location of the measures data directory.
:param pth: The absolute path to the measures data directory.
"""
if os.path.exists(pth):
if not os.path.exists(os.path.join(pth, 'data', 'geodetic')):
raise IOError("The given ... | python | def set_data_path(self, pth):
"""Set the location of the measures data directory.
:param pth: The absolute path to the measures data directory.
"""
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casacore/python-casacore | casacore/measures/__init__.py | measures.asbaseline | def asbaseline(self, pos):
"""Convert a position measure into a baseline measure. No actual
baseline is calculated, since operations can be done on positions,
with subtractions to obtain baselines at a later stage.
:param pos: a position measure
:returns: a baseline measure
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"""Convert a position measure into a baseline measure. No actual
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:param pos: a position measure
:returns: a baseline measure
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casacore/python-casacore | casacore/measures/__init__.py | measures.getvalue | def getvalue(self, v):
"""
Return a list of quantities making up the measures' value.
:param v: a measure
"""
if not is_measure(v):
raise TypeError('Incorrect input type for getvalue()')
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out = []
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"""
Return a list of quantities making up the measures' value.
:param v: a measure
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casacore/python-casacore | casacore/measures/__init__.py | measures.doframe | def doframe(self, v):
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function), the following frames should be set if one of the reference
types involved in the conversion is as in the following lis... | python | def doframe(self, v):
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casacore/python-casacore | casacore/tables/msutil.py | addImagingColumns | def addImagingColumns(msname, ack=True):
""" Add the columns to an MS needed for the casa imager.
It adds the columns MODEL_DATA, CORRECTED_DATA, and IMAGING_WEIGHT.
It also sets the CHANNEL_SELECTION keyword needed for the older casa
imagers.
A column is not added if already existing.
"""
... | python | def addImagingColumns(msname, ack=True):
""" Add the columns to an MS needed for the casa imager.
It adds the columns MODEL_DATA, CORRECTED_DATA, and IMAGING_WEIGHT.
It also sets the CHANNEL_SELECTION keyword needed for the older casa
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casacore/python-casacore | casacore/tables/msutil.py | addDerivedMSCal | def addDerivedMSCal(msname):
""" Add the derived columns like HA to an MS or CalTable.
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It fails if one of the columns already exists.
"""
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""" Add the derived columns like HA to an MS or CalTable.
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casacore/python-casacore | casacore/tables/msutil.py | removeDerivedMSCal | def removeDerivedMSCal(msname):
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"... | python | def removeDerivedMSCal(msname):
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casacore/python-casacore | casacore/tables/msutil.py | msregularize | def msregularize(msname, newname):
""" Regularize an MS
The output MS will be such that it has the same number of baselines
for each time stamp. Where needed fully flagged rows are added.
Possibly missing rows are written into a separate MS <newname>-add.
It is concatenated with the original MS an... | python | def msregularize(msname, newname):
""" Regularize an MS
The output MS will be such that it has the same number of baselines
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Possibly missing rows are written into a separate MS <newname>-add.
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casacore/python-casacore | casacore/tables/tablecolumn.py | tablecolumn._repr_html_ | def _repr_html_(self):
"""Give a nice representation of columns in notebooks."""
out="<table class='taqltable'>\n"
# Print column name (not if it is auto-generated)
if not(self.name()[:4]=="Col_"):
out+="<tr>"
out+="<th><b>"+self.name()+"</b></th>"
ou... | python | def _repr_html_(self):
"""Give a nice representation of columns in notebooks."""
out="<table class='taqltable'>\n"
# Print column name (not if it is auto-generated)
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casacore/python-casacore | casacore/images/coordinates.py | coordinatesystem._get_coordinatenames | def _get_coordinatenames(self):
"""Create ordered list of coordinate names
"""
validnames = ("direction", "spectral", "linear", "stokes", "tabular")
self._names = [""] * len(validnames)
n = 0
for key in self._csys.keys():
for name in validnames:
... | python | def _get_coordinatenames(self):
"""Create ordered list of coordinate names
"""
validnames = ("direction", "spectral", "linear", "stokes", "tabular")
self._names = [""] * len(validnames)
n = 0
for key in self._csys.keys():
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casacore/python-casacore | casacore/images/coordinates.py | directioncoordinate.set_projection | def set_projection(self, val):
"""Set the projection of the given axis in this coordinate.
The known projections are SIN, ZEA, TAN, NCP, AIT, ZEA
"""
knownproj = ["SIN", "ZEA", "TAN", "NCP", "AIT", "ZEA"] # etc
assert val.upper() in knownproj
self._coord["projection"] =... | python | def set_projection(self, val):
"""Set the projection of the given axis in this coordinate.
The known projections are SIN, ZEA, TAN, NCP, AIT, ZEA
"""
knownproj = ["SIN", "ZEA", "TAN", "NCP", "AIT", "ZEA"] # etc
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casacore/python-casacore | casacore/tables/tableutil.py | tablefromascii | def tablefromascii(tablename, asciifile,
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columnnames=[], datatypes=[],
sep=' ',
commentmarker='',
firstline=1, lastline=-1,
readonly=True,
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columnnames=[], datatypes=[],
sep=' ',
commentmarker='',
firstline=1, lastline=-1,
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Create a table from a file in ASCII format. Columnar data as well as
table and column keywords may be specified.
Once the table is created from the ASCII data, it is opened in the
specified mode and a table object is returned.
The table columns are filled from a ... | [
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casacore/python-casacore | casacore/tables/tableutil.py | makescacoldesc | def makescacoldesc(columnname, value,
datamanagertype='',
datamanagergroup='',
options=0, maxlen=0, comment='',
valuetype='', keywords={}):
"""Create description of a scalar column.
A description for a scalar column can be created from... | python | def makescacoldesc(columnname, value,
datamanagertype='',
datamanagergroup='',
options=0, maxlen=0, comment='',
valuetype='', keywords={}):
"""Create description of a scalar column.
A description for a scalar column can be created from... | [
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casacore/python-casacore | casacore/tables/tableutil.py | makearrcoldesc | def makearrcoldesc(columnname, value, ndim=0,
shape=[], datamanagertype='',
datamanagergroup='',
options=0, maxlen=0, comment='',
valuetype='', keywords={}):
"""Create description of an array column.
A description for a scalar column c... | python | def makearrcoldesc(columnname, value, ndim=0,
shape=[], datamanagertype='',
datamanagergroup='',
options=0, maxlen=0, comment='',
valuetype='', keywords={}):
"""Create description of an array column.
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casacore/python-casacore | casacore/tables/tableutil.py | maketabdesc | def maketabdesc(descs=[]):
"""Create a table description.
Creates a table description from a set of column descriptions. The
resulting table description can be used in the :class:`table` constructor.
For example::
scd1 = makescacoldesc("col2", "aa")
scd2 = makescacoldesc("col1", 1, "Incre... | python | def maketabdesc(descs=[]):
"""Create a table description.
Creates a table description from a set of column descriptions. The
resulting table description can be used in the :class:`table` constructor.
For example::
scd1 = makescacoldesc("col2", "aa")
scd2 = makescacoldesc("col1", 1, "Incre... | [
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scd2 = makescacoldesc("col1", 1, "IncrementalStMan")
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casacore/python-casacore | casacore/tables/tableutil.py | makedminfo | def makedminfo(tabdesc, group_spec=None):
"""Creates a data manager information object.
Create a data manager information dictionary outline from a table description.
The resulting dictionary is a bare outline and is available for the purposes of
further customising the data manager via the `group_spec` argume... | python | def makedminfo(tabdesc, group_spec=None):
"""Creates a data manager information object.
Create a data manager information dictionary outline from a table description.
The resulting dictionary is a bare outline and is available for the purposes of
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casacore/python-casacore | casacore/tables/tableutil.py | tabledefinehypercolumn | def tabledefinehypercolumn(tabdesc,
name, ndim, datacolumns,
coordcolumns=False,
idcolumns=False):
"""Add a hypercolumn to a table description.
It defines a hypercolumn and adds it the given table description.
A hypercolumn is... | python | def tabledefinehypercolumn(tabdesc,
name, ndim, datacolumns,
coordcolumns=False,
idcolumns=False):
"""Add a hypercolumn to a table description.
It defines a hypercolumn and adds it the given table description.
A hypercolumn is... | [
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It defines a hypercolumn and adds it the given table description.
A hypercolumn is an entity used by the Tiled Storage Managers (TSM). It
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It should only be used by expert users who want to use a TSM ... | [
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casacore/python-casacore | casacore/tables/tableutil.py | tabledelete | def tabledelete(tablename, checksubtables=False, ack=True):
"""Delete a table on disk.
It is the same as :func:`table.delete`, but without the need to open
the table first.
"""
tabname = _remove_prefix(tablename)
t = table(tabname, ack=False)
if t.ismultiused(checksubtables):
six.p... | python | def tabledelete(tablename, checksubtables=False, ack=True):
"""Delete a table on disk.
It is the same as :func:`table.delete`, but without the need to open
the table first.
"""
tabname = _remove_prefix(tablename)
t = table(tabname, ack=False)
if t.ismultiused(checksubtables):
six.p... | [
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casacore/python-casacore | casacore/tables/tableutil.py | tableexists | def tableexists(tablename):
"""Test if a table exists."""
result = True
try:
t = table(tablename, ack=False)
except:
result = False
return result | python | def tableexists(tablename):
"""Test if a table exists."""
result = True
try:
t = table(tablename, ack=False)
except:
result = False
return result | [
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casacore/python-casacore | casacore/tables/tableutil.py | tableiswritable | def tableiswritable(tablename):
"""Test if a table is writable."""
result = True
try:
t = table(tablename, readonly=False, ack=False)
result = t.iswritable()
except:
result = False
return result | python | def tableiswritable(tablename):
"""Test if a table is writable."""
result = True
try:
t = table(tablename, readonly=False, ack=False)
result = t.iswritable()
except:
result = False
return result | [
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casacore/python-casacore | casacore/tables/tableutil.py | tablestructure | def tablestructure(tablename, dataman=True, column=True, subtable=False,
sort=False):
"""Print the structure of a table.
It is the same as :func:`table.showstructure`, but without the need to open
the table first.
"""
t = table(tablename, ack=False)
six.print_(t.showstructur... | python | def tablestructure(tablename, dataman=True, column=True, subtable=False,
sort=False):
"""Print the structure of a table.
It is the same as :func:`table.showstructure`, but without the need to open
the table first.
"""
t = table(tablename, ack=False)
six.print_(t.showstructur... | [
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casacore/python-casacore | casacore/images/image.py | image.attrget | def attrget(self, groupname, attrname, rownr):
"""Get the value of an attribute in the given row in a group."""
return self._attrget(groupname, attrname, rownr) | python | def attrget(self, groupname, attrname, rownr):
"""Get the value of an attribute in the given row in a group."""
return self._attrget(groupname, attrname, rownr) | [
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casacore/python-casacore | casacore/images/image.py | image.attrgetcol | def attrgetcol(self, groupname, attrname):
"""Get the value of an attribute for all rows in a group."""
values = []
for rownr in range(self.attrnrows(groupname)):
values.append(self.attrget(groupname, attrname, rownr))
return values | python | def attrgetcol(self, groupname, attrname):
"""Get the value of an attribute for all rows in a group."""
values = []
for rownr in range(self.attrnrows(groupname)):
values.append(self.attrget(groupname, attrname, rownr))
return values | [
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casacore/python-casacore | casacore/images/image.py | image.attrfindrows | def attrfindrows(self, groupname, attrname, value):
"""Get the row numbers of all rows where the attribute matches the given value."""
values = self.attrgetcol(groupname, attrname)
return [i for i in range(len(values)) if values[i] == value] | python | def attrfindrows(self, groupname, attrname, value):
"""Get the row numbers of all rows where the attribute matches the given value."""
values = self.attrgetcol(groupname, attrname)
return [i for i in range(len(values)) if values[i] == value] | [
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casacore/python-casacore | casacore/images/image.py | image.attrgetrow | def attrgetrow(self, groupname, key, value=None):
"""Get the values of all attributes of a row in a group.
If the key is an integer, the key is the row number for which
the attribute values have to be returned.
Otherwise the key has to be a string and it defines the name of an
... | python | def attrgetrow(self, groupname, key, value=None):
"""Get the values of all attributes of a row in a group.
If the key is an integer, the key is the row number for which
the attribute values have to be returned.
Otherwise the key has to be a string and it defines the name of an
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casacore/python-casacore | casacore/images/image.py | image.attrput | def attrput(self, groupname, attrname, rownr, value, unit=[], meas=[]):
"""Put the value and optionally unit and measinfo
of an attribute in a row in a group."""
return self._attrput(groupname, attrname, rownr, value, unit, meas) | python | def attrput(self, groupname, attrname, rownr, value, unit=[], meas=[]):
"""Put the value and optionally unit and measinfo
of an attribute in a row in a group."""
return self._attrput(groupname, attrname, rownr, value, unit, meas) | [
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