function_name stringlengths 1 63 | docstring stringlengths 50 5.89k | masked_code stringlengths 50 882k | implementation stringlengths 169 12.9k | start_line int32 1 14.6k | end_line int32 16 14.6k | file_content stringlengths 274 882k |
|---|---|---|---|---|---|---|
configure_app | :param project: should represent the canonical name for the project, generally
the same name it assigned in distutils.
:param default_config_path: the default location for the configuration file.
:param default_settings: default settings to load (think inheritence).
:param settings_initializer: a callback function ... | """
logan.runner
~~~~~~~~~~~~
:copyright: (c) 2012 David Cramer.
:license: Apache License 2.0, see NOTICE for more details.
"""
import argparse
import os
import re
import sys
from django.core import management
from nautobot import __version__
from . import importer
from .settings import create_default_settings
__... | def configure_app(
config_path=None,
project=None,
default_config_path=None,
default_settings=None,
settings_initializer=None,
settings_envvar=None,
initializer=None,
allow_extras=True,
config_module_name=None,
runner_name=None,
on_configure=None,
):
"""
:param projec... | 57 | 156 | """
logan.runner
~~~~~~~~~~~~
:copyright: (c) 2012 David Cramer.
:license: Apache License 2.0, see NOTICE for more details.
"""
import argparse
import os
import re
import sys
from django.core import management
from nautobot import __version__
from . import importer
from .settings import create_default_settings
__... |
basic_tokenize | The function is used to do some basic tokenization
Args:
input_str: The input string
lang: Language of the input string
Return: a list of tokens of the input string | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | def basic_tokenize(input_str, lang):
"""
The function is used to do some basic tokenization
Args:
input_str: The input string
lang: Language of the input string
Return: a list of tokens of the input string
"""
if lang == constants.ENGLISH:
return word_tokenize(input_str)... | 60 | 71 | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... |
_escapify | Escape the characters in a quoted string which need it.
@param qstring: the string
@type qstring: string
@returns: the escaped string
@rtype: string | # Copyright (C) 2001-2007, 2009-2011 Nominum, Inc.
#
# Permission to use, copy, modify, and distribute this software and its
# documentation for any purpose with or without fee is hereby granted,
# provided that the above copyright notice and this permission notice
# appear in all copies.
#
# THE SOFTWARE IS PROVIDED "... | def _escapify(qstring):
"""Escape the characters in a quoted string which need it.
@param qstring: the string
@type qstring: string
@returns: the escaped string
@rtype: string
"""
if isinstance(qstring, text_type):
qstring = qstring.encode()
if not isinstance(qstring, bytearray... | 79 | 101 | # Copyright (C) 2001-2007, 2009-2011 Nominum, Inc.
#
# Permission to use, copy, modify, and distribute this software and its
# documentation for any purpose with or without fee is hereby granted,
# provided that the above copyright notice and this permission notice
# appear in all copies.
#
# THE SOFTWARE IS PROVIDED "... |
_truncate_bitmap | Determine the index of greatest byte that isn't all zeros, and
return the bitmap that contains all the bytes less than that index.
@param what: a string of octets representing a bitmap.
@type what: string
@rtype: string | # Copyright (C) 2001-2007, 2009-2011 Nominum, Inc.
#
# Permission to use, copy, modify, and distribute this software and its
# documentation for any purpose with or without fee is hereby granted,
# provided that the above copyright notice and this permission notice
# appear in all copies.
#
# THE SOFTWARE IS PROVIDED "... | def _truncate_bitmap(what):
"""Determine the index of greatest byte that isn't all zeros, and
return the bitmap that contains all the bytes less than that index.
@param what: a string of octets representing a bitmap.
@type what: string
@rtype: string
"""
for i in xrange(len(what) - 1, -1, ... | 104 | 116 | # Copyright (C) 2001-2007, 2009-2011 Nominum, Inc.
#
# Permission to use, copy, modify, and distribute this software and its
# documentation for any purpose with or without fee is hereby granted,
# provided that the above copyright notice and this permission notice
# appear in all copies.
#
# THE SOFTWARE IS PROVIDED "... |
safe_sort_dicom_image_list | Sorts a list of DICOM image files based on a DICOM tag value.
This is a much safer method than reading SliceLocation.
It takes mandatory DICOM fields (Image Position [Patient]) and (Image Orientation [Patient]).
The list of DICOM files is sorted by projecting the image position onto the axis normal to the
place defined... | # Copyright 2020 University of New South Wales, University of Sydney
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by app... | def safe_sort_dicom_image_list(dicom_image_list):
"""
Sorts a list of DICOM image files based on a DICOM tag value.
This is a much safer method than reading SliceLocation.
It takes mandatory DICOM fields (Image Position [Patient]) and (Image Orientation [Patient]).
The list of DICOM files is sorted ... | 168 | 196 | # Copyright 2020 University of New South Wales, University of Sydney
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by app... |
fix_missing_data | Fixes missing points in contouring using simple linear interpolation
Args:
contour_data_list (list): The contour data for each slice
Returns:
contour_data (numpy array): Interpolated contour data | # Copyright 2020 University of New South Wales, University of Sydney
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by app... | def fix_missing_data(contour_data_list):
"""
Fixes missing points in contouring using simple linear interpolation
Args:
contour_data_list (list): The contour data for each slice
Returns:
contour_data (numpy array): Interpolated contour data
"""
contour_data = np.array(contour_... | 199 | 249 | # Copyright 2020 University of New South Wales, University of Sydney
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by app... |
ignore_errors_context | Set ignore_errors to the given flag in this context.
Parameters
----------
flag : bool
If not None, set ignore_errors to this value.
Yields
------
None | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... | @contextmanager
def ignore_errors_context(flag=True):
"""
Set ignore_errors to the given flag in this context.
Parameters
----------
flag : bool
If not None, set ignore_errors to this value.
Yields
------
None
"""
save = ignore_errors()
ignore_errors(flag)
try:
... | 93 | 112 | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... |
simple_warning | Display a simple warning message without the annoying extra line showing the warning call.
Parameters
----------
msg : str
The warning message.
category : class
The warning class.
stacklevel : int
Number of levels up the stack to identify as the warning location. | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... | def simple_warning(msg, category=UserWarning, stacklevel=2):
"""
Display a simple warning message without the annoying extra line showing the warning call.
Parameters
----------
msg : str
The warning message.
category : class
The warning class.
stacklevel : int
Numbe... | 115 | 135 | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... |
ensure_compatible | Make value compatible with the specified shape or the shape of indices.
Parameters
----------
name : str
The name of the value.
value : float or list or tuple or ndarray or Iterable
The value of a variable.
shape : int or tuple or list or None
The expected or desired shape of the value.
indices : Indexer o... | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... | def ensure_compatible(name, value, shape=None, indices=None):
"""
Make value compatible with the specified shape or the shape of indices.
Parameters
----------
name : str
The name of the value.
value : float or list or tuple or ndarray or Iterable
The value of a variable.
sh... | 138 | 208 | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... |
determine_adder_scaler | Determine proper values of adder and scaler based on user arguments.
Adder and Scaler are used internally because the transformation is
slightly more efficient.
Parameters
----------
ref0 : float or ndarray, optional
Value of response variable that scales to 0.0 in the driver.
ref : float or ndarray, optional
... | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... | def determine_adder_scaler(ref0, ref, adder, scaler):
r"""
Determine proper values of adder and scaler based on user arguments.
Adder and Scaler are used internally because the transformation is
slightly more efficient.
Parameters
----------
ref0 : float or ndarray, optional
Value ... | 211 | 270 | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... |
set_pyoptsparse_opt | For testing, sets the pyoptsparse optimizer using the given optimizer name.
This may be modified based on the value of OPENMDAO_FORCE_PYOPTSPARSE_OPT.
This can be used on systems that have SNOPT installed to force them to use
SLSQP in order to mimic our test machines on travis and appveyor.
Parameters
----------
optn... | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... | def set_pyoptsparse_opt(optname, fallback=True):
"""
For testing, sets the pyoptsparse optimizer using the given optimizer name.
This may be modified based on the value of OPENMDAO_FORCE_PYOPTSPARSE_OPT.
This can be used on systems that have SNOPT installed to force them to use
SLSQP in order to mi... | 273 | 333 | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... |
format_as_float_or_array | Format array option values.
Checks that the given array values are either None, float, or an iterable
of numeric values. On output all iterables of numeric values are
converted to a flat np.ndarray. If values is scalar, it is converted
to float.
Parameters
----------
name : str
The path of the variable relative t... | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... | def format_as_float_or_array(name, values, val_if_none=0.0, flatten=False):
"""
Format array option values.
Checks that the given array values are either None, float, or an iterable
of numeric values. On output all iterables of numeric values are
converted to a flat np.ndarray. If values is scalar,... | 336 | 389 | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... |
find_matches | Return list of variable names that match given pattern.
Parameters
----------
pattern : str
Glob pattern or variable name.
var_list : list of str
List of variable names to search for pattern.
Returns
-------
list
Variable names that match pattern. | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... | def find_matches(pattern, var_list):
"""
Return list of variable names that match given pattern.
Parameters
----------
pattern : str
Glob pattern or variable name.
var_list : list of str
List of variable names to search for pattern.
Returns
-------
list
Vari... | 436 | 456 | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... |
pad_name | Pad a string so that they all line up when stacked.
Parameters
----------
name : str
The string to pad.
pad_num : int
The number of total spaces the string should take up.
quotes : bool
If name should be quoted.
Returns
-------
str
Padded string. | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... | def pad_name(name, pad_num=10, quotes=False):
"""
Pad a string so that they all line up when stacked.
Parameters
----------
name : str
The string to pad.
pad_num : int
The number of total spaces the string should take up.
quotes : bool
If name should be quoted.
... | 459 | 491 | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... |
printoptions | Context manager for setting numpy print options.
Set print options for the scope of the `with` block, and restore the old
options at the end. See `numpy.set_printoptions` for the full description of
available options. If any invalid options are specified, they will be ignored.
>>> with printoptions(precision=2):
... ... | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... | @contextmanager
def printoptions(*args, **kwds):
"""
Context manager for setting numpy print options.
Set print options for the scope of the `with` block, and restore the old
options at the end. See `numpy.set_printoptions` for the full description of
available options. If any invalid options are s... | 553 | 594 | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... |
match_includes_excludes | Check to see if the variable names pass through the includes and excludes filter.
Parameters
----------
name : str
Name to be checked for match.
includes : iter of str or None
Glob patterns for name to include in the filtering. None, the default, means
include all.
excludes : iter of str or None
Glob ... | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... | def match_includes_excludes(name, includes=None, excludes=None):
"""
Check to see if the variable names pass through the includes and excludes filter.
Parameters
----------
name : str
Name to be checked for match.
includes : iter of str or None
Glob patterns for name to include ... | 817 | 850 | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... |
match_prom_or_abs | Check to see if the variable names pass through the includes and excludes filter.
Parameters
----------
name : str
Unpromoted variable name to be checked for match.
prom_name : str
Promoted variable name to be checked for match.
includes : iter of str or None
Glob patterns for name to include in the filter... | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... | def match_prom_or_abs(name, prom_name, includes=None, excludes=None):
"""
Check to see if the variable names pass through the includes and excludes filter.
Parameters
----------
name : str
Unpromoted variable name to be checked for match.
prom_name : str
Promoted variable name t... | 853 | 890 | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... |
common_subpath | Return the common dotted subpath found in all of the given dotted pathnames.
Parameters
----------
pathnames : iter of str
Dotted pathnames of systems.
Returns
-------
str
Common dotted subpath. Returns '' if no common subpath is found. | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... | def common_subpath(pathnames):
"""
Return the common dotted subpath found in all of the given dotted pathnames.
Parameters
----------
pathnames : iter of str
Dotted pathnames of systems.
Returns
-------
str
Common dotted subpath. Returns '' if no common subpath is foun... | 913 | 947 | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... |
_is_slicer_op | Check if an indexer contains a slice or ellipsis operator.
Parameters
----------
indices : ndarray
Indices to check.
Returns
-------
bool
Returns True if indices contains a colon or ellipsis operator. | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... | def _is_slicer_op(indices):
"""
Check if an indexer contains a slice or ellipsis operator.
Parameters
----------
indices : ndarray
Indices to check.
Returns
-------
bool
Returns True if indices contains a colon or ellipsis operator.
"""
if isinstance(indices, tu... | 950 | 967 | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... |
convert_src_inds | Compute lower level src_indices based on parent src_indices.
Parameters
----------
parent_src_inds : ndarray
Parent src_indices.
parent_src_shape : tuple
Shape of source expected by parent.
my_src_inds : ndarray or fancy index
Src_indices at the current system level, before conversion.
my_src_shape : tuple... | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... | def convert_src_inds(parent_src_inds, parent_src_shape, my_src_inds, my_src_shape):
"""
Compute lower level src_indices based on parent src_indices.
Parameters
----------
parent_src_inds : ndarray
Parent src_indices.
parent_src_shape : tuple
Shape of source expected by parent.
... | 1,063 | 1,091 | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... |
shape2tuple | Return shape as a tuple.
Parameters
----------
shape : int or tuple
The given shape.
Returns
-------
tuple
The shape as a tuple. | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... | def shape2tuple(shape):
"""
Return shape as a tuple.
Parameters
----------
shape : int or tuple
The given shape.
Returns
-------
tuple
The shape as a tuple.
"""
if isinstance(shape, Number):
return (shape,)
elif shape is None:
return shape
... | 1,094 | 1,112 | """Some miscellaneous utility functions."""
from contextlib import contextmanager
import os
import re
import sys
import warnings
import unittest
from fnmatch import fnmatchcase
from io import StringIO
from numbers import Number
# note: this is a Python 3.3 change, clean this up for OpenMDAO 3.x
try:
from collectio... |
create_network_interfaces | Create a new network interface
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.create_network_interfaces(callba... | # coding: utf-8
"""
Pure Storage FlashBlade REST 1.3 Python SDK
Pure Storage FlashBlade REST 1.3 Python SDK, developed by [Pure Storage, Inc](http://www.purestorage.com/). Documentations can be found at [purity-fb.readthedocs.io](http://purity-fb.readthedocs.io/).
OpenAPI spec version: 1.3
Contact: i... | def create_network_interfaces(self, **kwargs):
"""
Create a new network interface
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def call... | 43 | 67 | # coding: utf-8
"""
Pure Storage FlashBlade REST 1.3 Python SDK
Pure Storage FlashBlade REST 1.3 Python SDK, developed by [Pure Storage, Inc](http://www.purestorage.com/). Documentations can be found at [purity-fb.readthedocs.io](http://purity-fb.readthedocs.io/).
OpenAPI spec version: 1.3
Contact: i... |
create_network_interfaces_with_http_info | Create a new network interface
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.create_network_interfaces_with_h... | # coding: utf-8
"""
Pure Storage FlashBlade REST 1.3 Python SDK
Pure Storage FlashBlade REST 1.3 Python SDK, developed by [Pure Storage, Inc](http://www.purestorage.com/). Documentations can be found at [purity-fb.readthedocs.io](http://purity-fb.readthedocs.io/).
OpenAPI spec version: 1.3
Contact: i... | def create_network_interfaces_with_http_info(self, **kwargs):
"""
Create a new network interface
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
... | 69 | 147 | # coding: utf-8
"""
Pure Storage FlashBlade REST 1.3 Python SDK
Pure Storage FlashBlade REST 1.3 Python SDK, developed by [Pure Storage, Inc](http://www.purestorage.com/). Documentations can be found at [purity-fb.readthedocs.io](http://purity-fb.readthedocs.io/).
OpenAPI spec version: 1.3
Contact: i... |
generate_DeepConvLSTM_model | Generate a model with convolution and LSTM layers.
See Ordonez et al., 2016, http://dx.doi.org/10.3390/s16010115
Parameters
----------
x_shape : tuple
Shape of the input dataset: (num_samples, num_timesteps, num_channels)
class_number : int
Number of classes for classification task
filters : list of ints
n... | #
# mcfly
#
# Copyright 2017 Netherlands eScience Center
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | def generate_DeepConvLSTM_model(
x_shape, class_number, filters, lstm_dims, learning_rate=0.01,
regularization_rate=0.01, metrics=['accuracy']):
"""
Generate a model with convolution and LSTM layers.
See Ordonez et al., 2016, http://dx.doi.org/10.3390/s16010115
Parameters
----------... | 140 | 225 | #
# mcfly
#
# Copyright 2017 Netherlands eScience Center
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... |
generate_CNN_model | Generate a convolutional neural network (CNN) model.
The compiled Keras model is returned.
Parameters
----------
x_shape : tuple
Shape of the input dataset: (num_samples, num_timesteps, num_channels)
class_number : int
Number of classes for classification task
filters : list of ints
number of filters for ... | #
# mcfly
#
# Copyright 2017 Netherlands eScience Center
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | def generate_CNN_model(x_shape, class_number, filters, fc_hidden_nodes,
learning_rate=0.01, regularization_rate=0.01,
metrics=['accuracy']):
"""
Generate a convolutional neural network (CNN) model.
The compiled Keras model is returned.
Parameters
-----... | 228 | 293 | #
# mcfly
#
# Copyright 2017 Netherlands eScience Center
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... |
generate_DeepConvLSTM_hyperparameter_set | Generate a hyperparameter set that defines a DeepConvLSTM model.
Parameters
----------
min_conv_layers : int
minimum number of Conv layers in DeepConvLSTM model
max_conv_layers : int
maximum number of Conv layers in DeepConvLSTM model
min_conv_filters : int
minimum number of filters per Conv layer in DeepC... | #
# mcfly
#
# Copyright 2017 Netherlands eScience Center
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | def generate_DeepConvLSTM_hyperparameter_set(
min_conv_layers=1, max_conv_layers=10,
min_conv_filters=10, max_conv_filters=100,
min_lstm_layers=1, max_lstm_layers=5,
min_lstm_dims=10, max_lstm_dims=100,
low_lr=1, high_lr=4, low_reg=1, high_reg=4):
""" Generate a hyperparamete... | 345 | 399 | #
# mcfly
#
# Copyright 2017 Netherlands eScience Center
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... |
presents_for_house | https://math.stackexchange.com/a/22744
>>> presents_for_house(1)
10
>>> presents_for_house(2)
30
>>> presents_for_house(3)
40
>>> presents_for_house(8)
150
>>> presents_for_house(9)
130 | # -*- coding: utf-8 -*-
from functools import cache
INPUT = 33100000
def sigma_pentagonal_numbers(limit):
"""
>>> list(sigma_pentagonal_numbers(16))
[1, 2, 5, 7, 12, 15]
"""
n = 1
p = 1
while p <= limit:
yield p
if n > 0:
n = -n
else:
n... | @cache
def presents_for_house(house):
"""
https://math.stackexchange.com/a/22744
>>> presents_for_house(1)
10
>>> presents_for_house(2)
30
>>> presents_for_house(3)
40
>>> presents_for_house(8)
150
>>> presents_for_house(9)
130
"""
if house == 1:
return ... | 37 | 68 | # -*- coding: utf-8 -*-
from functools import cache
INPUT = 33100000
def sigma_pentagonal_numbers(limit):
"""
>>> list(sigma_pentagonal_numbers(16))
[1, 2, 5, 7, 12, 15]
"""
n = 1
p = 1
while p <= limit:
yield p
if n > 0:
n = -n
else:
n... |
get_git_changeset | Return a numeric identifier of the latest git changeset.
The result is the UTC timestamp of the changeset in YYYYMMDDHHMMSS format.
This value isn't guaranteed to be unique, but collisions are very unlikely,
so it's sufficient for generating the development version numbers. | import datetime
import functools
import os
import subprocess
def get_version(version=None):
"""Return a PEP 440-compliant version number from VERSION."""
version = get_complete_version(version)
# Now build the two parts of the version number:
# main = X.Y[.Z]
# sub = .devN - for pre-alpha release... | @functools.lru_cache()
def get_git_changeset():
"""Return a numeric identifier of the latest git changeset.
The result is the UTC timestamp of the changeset in YYYYMMDDHHMMSS format.
This value isn't guaranteed to be unique, but collisions are very unlikely,
so it's sufficient for generating the develo... | 60 | 79 | import datetime
import functools
import os
import subprocess
def get_version(version=None):
"""Return a PEP 440-compliant version number from VERSION."""
version = get_complete_version(version)
# Now build the two parts of the version number:
# main = X.Y[.Z]
# sub = .devN - for pre-alpha release... |
write_fst_no_silence | Writes the text format of L.fst to the standard output. This version is for
when --sil-prob=0.0, meaning there is no optional silence allowed.
'lexicon' is a list of 3-tuples (word, pron-prob, prons) as returned by
read_lexiconp().
'nonterminals', which relates to grammar decoding (see kaldi-asr.org/doc/gramma... | #!/usr/bin/env python3
# Copyright 2018 Johns Hopkins University (author: Daniel Povey)
# Apache 2.0.
# see get_args() below for usage message.
import argparse
import os
import sys
import math
import re
# The use of latin-1 encoding does not preclude reading utf-8. latin-1
# encoding means "treat words as sequen... | def write_fst_no_silence(lexicon, nonterminals=None, left_context_phones=None):
"""Writes the text format of L.fst to the standard output. This version is for
when --sil-prob=0.0, meaning there is no optional silence allowed.
'lexicon' is a list of 3-tuples (word, pron-prob, prons) as returned by
... | 173 | 217 | #!/usr/bin/env python3
# Copyright 2018 Johns Hopkins University (author: Daniel Povey)
# Apache 2.0.
# see get_args() below for usage message.
import argparse
import os
import sys
import math
import re
# The use of latin-1 encoding does not preclude reading utf-8. latin-1
# encoding means "treat words as sequen... |
read_left_context_phones | Reads, checks, and returns a list of left-context phones, in text form, one
per line. Returns a list of strings, e.g. ['a', 'ah', ..., '#nonterm_bos' ] | #!/usr/bin/env python3
# Copyright 2018 Johns Hopkins University (author: Daniel Povey)
# Apache 2.0.
# see get_args() below for usage message.
import argparse
import os
import sys
import math
import re
# The use of latin-1 encoding does not preclude reading utf-8. latin-1
# encoding means "treat words as sequen... | def read_left_context_phones(filename):
"""Reads, checks, and returns a list of left-context phones, in text form, one
per line. Returns a list of strings, e.g. ['a', 'ah', ..., '#nonterm_bos' ]"""
ans = [line.strip(" \t\r\n") for line in open(filename, 'r', encoding='latin-1')]
if len(ans) == 0:
... | 338 | 351 | #!/usr/bin/env python3
# Copyright 2018 Johns Hopkins University (author: Daniel Povey)
# Apache 2.0.
# see get_args() below for usage message.
import argparse
import os
import sys
import math
import re
# The use of latin-1 encoding does not preclude reading utf-8. latin-1
# encoding means "treat words as sequen... |
inspect_app | Inspects an application.
Args:
app (falcon.App): The application to inspect. Works with both
:class:`falcon.App` and :class:`falcon.asgi.App`.
Returns:
AppInfo: The information regarding the application. Call
:meth:`~.AppInfo.to_string` on the result to obtain a human-friendly
representation. | # Copyright 2020 by Federico Caselli
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... | def inspect_app(app: App) -> 'AppInfo':
"""Inspects an application.
Args:
app (falcon.App): The application to inspect. Works with both
:class:`falcon.App` and :class:`falcon.asgi.App`.
Returns:
AppInfo: The information regarding the application. Call
:meth:`~.AppInfo.t... | 24 | 41 | # Copyright 2020 by Federico Caselli
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... |
inspect_routes | Inspects the routes of an application.
Args:
app (falcon.App): The application to inspect. Works with both
:class:`falcon.App` and :class:`falcon.asgi.App`.
Returns:
List[RouteInfo]: A list of route descriptions for the application. | # Copyright 2020 by Federico Caselli
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... | def inspect_routes(app: App) -> 'List[RouteInfo]':
"""Inspects the routes of an application.
Args:
app (falcon.App): The application to inspect. Works with both
:class:`falcon.App` and :class:`falcon.asgi.App`.
Returns:
List[RouteInfo]: A list of route descriptions for the appl... | 44 | 63 | # Copyright 2020 by Federico Caselli
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... |
inspect_static_routes | Inspects the static routes of an application.
Args:
app (falcon.App): The application to inspect. Works with both
:class:`falcon.App` and :class:`falcon.asgi.App`.
Returns:
List[StaticRouteInfo]: A list of static routes that have
been added to the application. | # Copyright 2020 by Federico Caselli
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... | def inspect_static_routes(app: App) -> 'List[StaticRouteInfo]':
"""Inspects the static routes of an application.
Args:
app (falcon.App): The application to inspect. Works with both
:class:`falcon.App` and :class:`falcon.asgi.App`.
Returns:
List[StaticRouteInfo]: A list of stati... | 100 | 115 | # Copyright 2020 by Federico Caselli
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... |
inspect_sinks | Inspects the sinks of an application.
Args:
app (falcon.App): The application to inspect. Works with both
:class:`falcon.App` and :class:`falcon.asgi.App`.
Returns:
List[SinkInfo]: A list of sinks used by the application. | # Copyright 2020 by Federico Caselli
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... | def inspect_sinks(app: App) -> 'List[SinkInfo]':
"""Inspects the sinks of an application.
Args:
app (falcon.App): The application to inspect. Works with both
:class:`falcon.App` and :class:`falcon.asgi.App`.
Returns:
List[SinkInfo]: A list of sinks used by the application.
... | 118 | 133 | # Copyright 2020 by Federico Caselli
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... |
inspect_error_handlers | Inspects the error handlers of an application.
Args:
app (falcon.App): The application to inspect. Works with both
:class:`falcon.App` and :class:`falcon.asgi.App`.
Returns:
List[ErrorHandlerInfo]: A list of error handlers used by the
application. | # Copyright 2020 by Federico Caselli
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... | def inspect_error_handlers(app: App) -> 'List[ErrorHandlerInfo]':
"""Inspects the error handlers of an application.
Args:
app (falcon.App): The application to inspect. Works with both
:class:`falcon.App` and :class:`falcon.asgi.App`.
Returns:
List[ErrorHandlerInfo]: A list of e... | 136 | 152 | # Copyright 2020 by Federico Caselli
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... |
inspect_compiled_router | Walk an instance of :class:`~.CompiledRouter` to return a list of defined routes.
Default route inspector for CompiledRouter.
Args:
router (CompiledRouter): The router to inspect.
Returns:
List[RouteInfo]: A list of :class:`~.RouteInfo`. | # Copyright 2020 by Federico Caselli
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... | @register_router(CompiledRouter)
def inspect_compiled_router(router: CompiledRouter) -> 'List[RouteInfo]':
"""Walk an instance of :class:`~.CompiledRouter` to return a list of defined routes.
Default route inspector for CompiledRouter.
Args:
router (CompiledRouter): The router to inspect.
Ret... | 197 | 239 | # Copyright 2020 by Federico Caselli
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... |
pad_nd_image_and_seg | Pads data and seg to new_shape. new_shape is thereby understood as min_shape (if data/seg is already larger then
new_shape the shape stays the same for the dimensions this applies)
:param data:
:param seg:
:param new_shape: if none then only must_be_divisible_by is applied
:param must_be_divisible_by: UNet like archite... | # Copyright 2017 Division of Medical Image Computing, German Cancer Research Center (DKFZ)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#... | def pad_nd_image_and_seg(data, seg, new_shape=None, must_be_divisible_by=None, pad_mode_data='constant',
np_pad_kwargs_data=None, pad_mode_seg='constant', np_pad_kwargs_seg=None):
"""
Pads data and seg to new_shape. new_shape is thereby understood as min_shape (if data/seg is already la... | 146 | 171 | # Copyright 2017 Division of Medical Image Computing, German Cancer Research Center (DKFZ)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#... |
run_python_tests | Runs the Python tests.
Returns:
True if the tests all succeed, False if there are failures. | #!/usr/bin/python
import os
import unittest
""" Script to run the Python tests. """
# MASKED: run_python_tests function (lines 11-26)
if __name__ == "__main__":
run_python_tests() | def run_python_tests():
""" Runs the Python tests.
Returns:
True if the tests all succeed, False if there are failures. """
print("Starting tests...")
loader = unittest.TestLoader()
# Get the directory this module is in.
dir_path = os.path.dirname(os.path.realpath(__file__))
suite = loader.discover("... | 11 | 26 | #!/usr/bin/python
import os
import unittest
""" Script to run the Python tests. """
def run_python_tests():
""" Runs the Python tests.
Returns:
True if the tests all succeed, False if there are failures. """
print("Starting tests...")
loader = unittest.TestLoader()
# Get the directory this module i... |
harmonic_mean | The `harmonic mean`_ is a kind of average that is calculated as
the reciprocal_ of the arithmetic mean of the reciprocals.
It is appropriate when calculating averages of rates_.
.. _`harmonic mean`: https://en.wikipedia.org/wiki/Harmonic_mean
.. _reciprocal: https://en.wikipedia.org/wiki/Multiplicative_inverse
.. _rat... | """
Implements harmonic_mean() function.
"""
from .mean import mean
# MASKED: harmonic_mean function (lines 7-46) | def harmonic_mean(x):
"""
The `harmonic mean`_ is a kind of average that is calculated as
the reciprocal_ of the arithmetic mean of the reciprocals.
It is appropriate when calculating averages of rates_.
.. _`harmonic mean`: https://en.wikipedia.org/wiki/Harmonic_mean
.. _reciprocal: https://en... | 7 | 46 | """
Implements harmonic_mean() function.
"""
from .mean import mean
def harmonic_mean(x):
"""
The `harmonic mean`_ is a kind of average that is calculated as
the reciprocal_ of the arithmetic mean of the reciprocals.
It is appropriate when calculating averages of rates_.
.. _`harmonic mean`: http... |
make_deterministic | Make results deterministic. If seed == -1, do not make deterministic.
Running your script in a deterministic way might slow it down.
Note that for some packages (eg: sklearn's PCA) this function is not enough. |
import torch
import random
import numpy as np
class InfiniteDataLoader(torch.utils.data.DataLoader):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.dataset_iterator = super().__iter__()
def __iter__(self):
return self
def __next__(self):
... | def make_deterministic(seed=0):
"""Make results deterministic. If seed == -1, do not make deterministic.
Running your script in a deterministic way might slow it down.
Note that for some packages (eg: sklearn's PCA) this function is not enough.
"""
seed = int(seed)
if seed == -1:
... | 24 | 37 |
import torch
import random
import numpy as np
class InfiniteDataLoader(torch.utils.data.DataLoader):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.dataset_iterator = super().__iter__()
def __iter__(self):
return self
def __next__(self):
... |
normalize_imagenet | Normalize input images according to ImageNet standards.
Args:
x (tensor): input images | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicabl... | def normalize_imagenet(x):
''' Normalize input images according to ImageNet standards.
Args:
x (tensor): input images
'''
x = x.clone()
x[:, 0] = (x[:, 0] - 0.485) / 0.229
x[:, 1] = (x[:, 1] - 0.456) / 0.224
x[:, 2] = (x[:, 2] - 0.406) / 0.225
return x | 55 | 64 | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicabl... |
get_prior_z | Returns prior distribution for latent code z.
Args:
cfg (dict): imported yaml config
device (device): pytorch device | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicabl... | def get_prior_z(device):
''' Returns prior distribution for latent code z.
Args:
cfg (dict): imported yaml config
device (device): pytorch device
'''
z_dim = 0
p0_z = dist.Normal(
torch.zeros(z_dim, device = device),
torch.ones(z_dim, device = device)
)
retur... | 125 | 137 | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicabl... |
forward | Performs a forward pass through the network.
Args:
p (tensor): sampled points
inputs (tensor): conditioning input
sample (bool): whether to sample for z | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicabl... | def forward(self, p, inputs, sample=True, **kwargs):
''' Performs a forward pass through the network.
Args:
p (tensor): sampled points
inputs (tensor): conditioning input
sample (bool): whether to sample for z
'''
batch_size = p.size(0)
c =... | 267 | 278 | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicabl... |
compute_elbo | Computes the expectation lower bound.
Args:
p (tensor): sampled points
occ (tensor): occupancy values for p
inputs (tensor): conditioning input | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicabl... | def compute_elbo(self, p, occ, inputs, **kwargs):
''' Computes the expectation lower bound.
Args:
p (tensor): sampled points
occ (tensor): occupancy values for p
inputs (tensor): conditioning input
'''
c = self.encode_inputs(inputs)
q_z = s... | 280 | 296 | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicabl... |
decode | Returns occupancy probabilities for the sampled points.
Args:
p (tensor): points
z (tensor): latent code z
c (tensor): latent conditioned code c | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicabl... | def decode(self, p, z, c, **kwargs):
''' Returns occupancy probabilities for the sampled points.
Args:
p (tensor): points
z (tensor): latent code z
c (tensor): latent conditioned code c
'''
logits = self.decoder(p, z, c, **kwargs)
p_r = di... | 308 | 318 | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicabl... |
infer_z | Infers z.
Args:
p (tensor): points tensor
occ (tensor): occupancy values for occ
c (tensor): latent conditioned code c | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicabl... | def infer_z(self, p, occ, c, **kwargs):
''' Infers z.
Args:
p (tensor): points tensor
occ (tensor): occupancy values for occ
c (tensor): latent conditioned code c
'''
batch_size = p.size(0)
mean_z = torch.empty(batch_size, 0).to(se... | 320 | 334 | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicabl... |
register | Registers the given model with the given admin class. Once a model is
registered in self.registry, we also add it to app registries in
self.apps.
If no model_admin is passed, it will use ModelAdmin2. If keyword
arguments are given they will be passed to the admin class on
instantiation.
If a model is already register... | """
WARNING: This file about to undergo major refactoring by @pydanny per
Issue #99.
"""
from importlib import import_module
from django.conf import settings
from django.conf.urls import url
from django.core.exceptions import ImproperlyConfigured
from . import apiviews
from . import types
from . import utils
from . i... | def register(self, model, model_admin=None, **kwargs):
"""
Registers the given model with the given admin class. Once a model is
registered in self.registry, we also add it to app registries in
self.apps.
If no model_admin is passed, it will use ModelAdmin2. If keyword
... | 37 | 61 | """
WARNING: This file about to undergo major refactoring by @pydanny per
Issue #99.
"""
from importlib import import_module
from django.conf import settings
from django.conf.urls import url
from django.core.exceptions import ImproperlyConfigured
from . import apiviews
from . import types
from . import utils
from . i... |
__init__ | Wrapper for parameter_importance to save the importance-object/ extract the results. We want to show the
top X most important parameter-fanova-plots.
Parameters
----------
runscontainer: RunsContainer
contains all important information about the configurator runs
marginal_threshold: float
parameter/s must be a... | import operator
import os
from collections import OrderedDict
from pandas import DataFrame
from cave.analyzer.parameter_importance.base_parameter_importance import BaseParameterImportance
class Fanova(BaseParameterImportance):
"""
fANOVA (functional analysis of variance) computes the fraction of the varianc... | def __init__(self,
runscontainer,
marginal_threshold=0.05):
"""Wrapper for parameter_importance to save the importance-object/ extract the results. We want to show the
top X most important parameter-fanova-plots.
Parameters
----------
runsco... | 19 | 35 | import operator
import os
from collections import OrderedDict
from pandas import DataFrame
from cave.analyzer.parameter_importance.base_parameter_importance import BaseParameterImportance
class Fanova(BaseParameterImportance):
"""
fANOVA (functional analysis of variance) computes the fraction of the varianc... |
get_min_max | Return a tuple(min, max) out of list of unsorted integers.
Args:
ints(list): list of integers containing one or more integers | # MASKED: get_min_max function (lines 1-28)
# Example Test Case of Ten Integers
import random
# Test case 1: random int array
l = [i for i in range(0, 10)] # a list containing 0 - 9
print(f"Test case 1 - random list of int: {l}")
random.shuffle(l)
# Should print "Pass" as the result should be (0, 9)
print ("Pass" ... | def get_min_max(ints):
"""
Return a tuple(min, max) out of list of unsorted integers.
Args:
ints(list): list of integers containing one or more integers
"""
# Handle non-list input
if not isinstance(ints, list):
return None, None
# Define variables for min and max value and... | 1 | 28 | def get_min_max(ints):
"""
Return a tuple(min, max) out of list of unsorted integers.
Args:
ints(list): list of integers containing one or more integers
"""
# Handle non-list input
if not isinstance(ints, list):
return None, None
# Define variables for min and max value and... |
run_task | Runs a named CumulusCI task for the current project with optional
support for overriding task options via kwargs.
Examples:
| =Keyword= | =task_name= | =task_options= | =comment= |
| Run Task | deploy | | Run deploy with standard options |
| Run Task ... | import logging
from robot.api import logger
from robot.libraries.BuiltIn import BuiltIn
from simple_salesforce import Salesforce
from cumulusci.cli.config import CliRuntime
from cumulusci.core.config import TaskConfig
from cumulusci.core.exceptions import TaskOptionsError
from cumulusci.core.tasks import CURRENT_TASK... | def run_task(self, task_name, **options):
""" Runs a named CumulusCI task for the current project with optional
support for overriding task options via kwargs.
Examples:
| =Keyword= | =task_name= | =task_options= | =comment= |
... | 137 | 150 | import logging
from robot.api import logger
from robot.libraries.BuiltIn import BuiltIn
from simple_salesforce import Salesforce
from cumulusci.cli.config import CliRuntime
from cumulusci.core.config import TaskConfig
from cumulusci.core.exceptions import TaskOptionsError
from cumulusci.core.tasks import CURRENT_TASK... |
__init__ | :param pulumi.Input[str] bucket: Name of the S3 bucket.
:param pulumi.Input[str] prefix: An Amazon S3 object key prefix that you can use to limit signed objects keys to begin with the specified prefix. | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... | def __init__(__self__, *,
bucket: pulumi.Input[str],
prefix: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] bucket: Name of the S3 bucket.
:param pulumi.Input[str] prefix: An Amazon S3 object key prefix that you can use to limit signed obj... | 47 | 56 | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... |
__init__ | :param pulumi.Input[str] bucket: Name of the S3 bucket.
:param pulumi.Input[str] key: Key name of the object that contains your unsigned code. | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... | def __init__(__self__, *,
bucket: Optional[pulumi.Input[str]] = None,
key: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] bucket: Name of the S3 bucket.
:param pulumi.Input[str] key: Key name of the object that contains your unsigned code.... | 149 | 159 | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... |
__init__ | :param pulumi.Input[str] bucket: Name of the S3 bucket.
:param pulumi.Input[str] key: Key name of the object that contains your unsigned code.
:param pulumi.Input[str] version: Version of your source image in your version enabled S3 bucket. | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... | def __init__(__self__, *,
bucket: pulumi.Input[str],
key: pulumi.Input[str],
version: pulumi.Input[str]):
"""
:param pulumi.Input[str] bucket: Name of the S3 bucket.
:param pulumi.Input[str] key: Key name of the object that contains your uns... | 210 | 221 | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... |
get_network_interface_tap_configuration | Use this data source to access information about an existing resource.
:param str network_interface_name: The name of the network interface.
:param str resource_group_name: The name of the resource group.
:param str tap_configuration_name: The name of the tap configuration. | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from... | def get_network_interface_tap_configuration(network_interface_name: Optional[str] = None,
resource_group_name: Optional[str] = None,
tap_configuration_name: Optional[str] = None,
opts: Opt... | 94 | 120 | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from... |
__init__ | Make end-of-life == end-of-episode, but only reset on true game over.
Done by DeepMind for the DQN and co. since it helps value estimation. | # https://github.com/facebookresearch/torchbeast/blob/master/torchbeast/core/environment.py
import numpy as np
from collections import deque
import gym
from gym import spaces
import cv2
cv2.ocl.setUseOpenCL(False)
class NoopResetEnv(gym.Wrapper):
def __init__(self, env, noop_max=30):
"""Sample initial st... | def __init__(self, env):
"""Make end-of-life == end-of-episode, but only reset on true game over.
Done by DeepMind for the DQN and co. since it helps value estimation.
"""
gym.Wrapper.__init__(self, env)
self.lives = 0
self.was_real_done = True | 61 | 67 | # https://github.com/facebookresearch/torchbeast/blob/master/torchbeast/core/environment.py
import numpy as np
from collections import deque
import gym
from gym import spaces
import cv2
cv2.ocl.setUseOpenCL(False)
class NoopResetEnv(gym.Wrapper):
def __init__(self, env, noop_max=30):
"""Sample initial st... |
__init__ | Stack k last frames.
Returns lazy array, which is much more memory efficient.
See Also
--------
baselines.common.atari_wrappers.LazyFrames | # https://github.com/facebookresearch/torchbeast/blob/master/torchbeast/core/environment.py
import numpy as np
from collections import deque
import gym
from gym import spaces
import cv2
cv2.ocl.setUseOpenCL(False)
class NoopResetEnv(gym.Wrapper):
def __init__(self, env, noop_max=30):
"""Sample initial st... | def __init__(self, env, k):
"""Stack k last frames.
Returns lazy array, which is much more memory efficient.
See Also
--------
baselines.common.atari_wrappers.LazyFrames
"""
gym.Wrapper.__init__(self, env)
self.k = k
self.frames = deque([], max... | 187 | 198 | # https://github.com/facebookresearch/torchbeast/blob/master/torchbeast/core/environment.py
import numpy as np
from collections import deque
import gym
from gym import spaces
import cv2
cv2.ocl.setUseOpenCL(False)
class NoopResetEnv(gym.Wrapper):
def __init__(self, env, noop_max=30):
"""Sample initial st... |
apply | 通过apply调用层会自动重用同名层
inputs: 上一层的输出；
layer: 要调用的层类名；
arguments: 传递给layer.call的参数；
kwargs: 传递给层初始化的参数。 | #! -*- coding: utf-8 -*-
# 主要模型
import numpy as np
from bert4keras.layers import *
from bert4keras.snippets import insert_arguments
from bert4keras.snippets import delete_arguments
from bert4keras.snippets import is_string
from keras.models import Model
import json
class Transformer(object):
"""模型基类
"""
... | def apply(self, inputs=None, layer=None, arguments=None, **kwargs):
"""通过apply调用层会自动重用同名层
inputs: 上一层的输出；
layer: 要调用的层类名；
arguments: 传递给layer.call的参数；
kwargs: 传递给层初始化的参数。
"""
if layer is Dropout and self.dropout_rate == 0:
return inputs
if... | 115 | 162 | #! -*- coding: utf-8 -*-
# 主要模型
import numpy as np
from bert4keras.layers import *
from bert4keras.snippets import insert_arguments
from bert4keras.snippets import delete_arguments
from bert4keras.snippets import is_string
from keras.models import Model
import json
class Transformer(object):
"""模型基类
"""
... |
set_tolerance | See abstract method.
Args:
abs_tol (float): absolute tolerance. Reset if supplied, ignored if not.
rel_tol (float): relative tolerance. Reset if supplied, ignored if not. | from ._stopping_criterion import StoppingCriterion
from ..accumulate_data import LDTransformData
from ..util import MaxSamplesWarning, ParameterError, ParameterWarning
from numpy import *
from time import time
import warnings
class CubQMCLDG(StoppingCriterion):
"""
Abstract class for CubQMC{LD}G where LD is a... | def set_tolerance(self, abs_tol=None, rel_tol=None):
"""
See abstract method.
Args:
abs_tol (float): absolute tolerance. Reset if supplied, ignored if not.
rel_tol (float): relative tolerance. Reset if supplied, ignored if not.
"""
if abs_t... | 85 | 94 | from ._stopping_criterion import StoppingCriterion
from ..accumulate_data import LDTransformData
from ..util import MaxSamplesWarning, ParameterError, ParameterWarning
from numpy import *
from time import time
import warnings
class CubQMCLDG(StoppingCriterion):
"""
Abstract class for CubQMC{LD}G where LD is a... |
get_event_channel | Event Channel.
API Version: 2020-04-01-preview.
:param str event_channel_name: Name of the event channel.
:param str partner_namespace_name: Name of the partner namespace.
:param str resource_group_name: The name of the resource group within the user's subscription. | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from .. import _utilities, _tables
from ... | def get_event_channel(event_channel_name: Optional[str] = None,
partner_namespace_name: Optional[str] = None,
resource_group_name: Optional[str] = None,
opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetEventChannelResult:
"""
Event Cha... | 156 | 189 | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from .. import _utilities, _tables
from ... |
trim | Trims all runs of the Evaluator to the length specified by the threshold value t.
@param t: Threshold parameter or number of top-k documents to be considered.
@param run: If run is not None, only the provided run will be trimmed. | import pytrec_eval
from repro_eval.util import trim, break_ties
from repro_eval.measure.statistics import ttest
from repro_eval.measure.overall_effects import ER, deltaRI
from repro_eval.measure.document_order import ktau_union as ktu, RBO
from repro_eval.measure.effectiveness import rmse as RMSE, nrmse as nRMSE
from r... | def trim(self, t=None, run=None):
"""
Trims all runs of the Evaluator to the length specified by the threshold value t.
@param t: Threshold parameter or number of top-k documents to be considered.
@param run: If run is not None, only the provided run will be trimmed.
"""
... | 56 | 97 | import pytrec_eval
from repro_eval.util import trim, break_ties
from repro_eval.measure.statistics import ttest
from repro_eval.measure.overall_effects import ER, deltaRI
from repro_eval.measure.document_order import ktau_union as ktu, RBO
from repro_eval.measure.effectiveness import rmse as RMSE, nrmse as nRMSE
from r... |
er | Determines the Effect Ratio (ER) according to the following paper:
Timo Breuer, Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Philipp Schaer, Ian Soboroff.
How to Measure the Reproducibility of System-oriented IR Experiments.
Proceedings of SIGIR, pages 349-358, 2020.
The ER value is determined by the rati... | import pytrec_eval
from repro_eval.util import trim, break_ties
from repro_eval.measure.statistics import ttest
from repro_eval.measure.overall_effects import ER, deltaRI
from repro_eval.measure.document_order import ktau_union as ktu, RBO
from repro_eval.measure.effectiveness import rmse as RMSE, nrmse as nRMSE
from r... | def er(self, run_b_score=None, run_a_score=None, run_b_path=None, run_a_path=None, print_feedback=False):
"""
Determines the Effect Ratio (ER) according to the following paper:
Timo Breuer, Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Philipp Schaer, Ian Soboroff.
How to... | 112 | 151 | import pytrec_eval
from repro_eval.util import trim, break_ties
from repro_eval.measure.statistics import ttest
from repro_eval.measure.overall_effects import ER, deltaRI
from repro_eval.measure.document_order import ktau_union as ktu, RBO
from repro_eval.measure.effectiveness import rmse as RMSE, nrmse as nRMSE
from r... |
dri | Determines the Delta Relative Improvement (DeltaRI) according to the following paper:
Timo Breuer, Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Philipp Schaer, Ian Soboroff.
How to Measure the Reproducibility of System-oriented IR Experiments.
Proceedings of SIGIR, pages 349-358, 2020.
The DeltaRI value i... | import pytrec_eval
from repro_eval.util import trim, break_ties
from repro_eval.measure.statistics import ttest
from repro_eval.measure.overall_effects import ER, deltaRI
from repro_eval.measure.document_order import ktau_union as ktu, RBO
from repro_eval.measure.effectiveness import rmse as RMSE, nrmse as nRMSE
from r... | def dri(self, run_b_score=None, run_a_score=None, run_b_path=None, run_a_path=None, print_feedback=False):
"""
Determines the Delta Relative Improvement (DeltaRI) according to the following paper:
Timo Breuer, Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Philipp Schaer, Ian Sobo... | 153 | 192 | import pytrec_eval
from repro_eval.util import trim, break_ties
from repro_eval.measure.statistics import ttest
from repro_eval.measure.overall_effects import ER, deltaRI
from repro_eval.measure.document_order import ktau_union as ktu, RBO
from repro_eval.measure.effectiveness import rmse as RMSE, nrmse as nRMSE
from r... |
evaluate | Evaluates the scores of the original and reproduced baseline and advanced runs.
If a (reproduced) run is provided only this one will be evaluated and a dictionary with the corresponding
scores is returned.
@param run: A reproduced run. If not specified, the original and reproduced runs of the the RpdEvaluator will
... | import pytrec_eval
from repro_eval.util import trim, break_ties
from repro_eval.measure.statistics import ttest
from repro_eval.measure.overall_effects import ER, deltaRI
from repro_eval.measure.document_order import ktau_union as ktu, RBO
from repro_eval.measure.effectiveness import rmse as RMSE, nrmse as nRMSE
from r... | def evaluate(self, run=None):
"""
Evaluates the scores of the original and reproduced baseline and advanced runs.
If a (reproduced) run is provided only this one will be evaluated and a dictionary with the corresponding
scores is returned.
@param run: A reproduced run. If not... | 238 | 256 | import pytrec_eval
from repro_eval.util import trim, break_ties
from repro_eval.measure.statistics import ttest
from repro_eval.measure.overall_effects import ER, deltaRI
from repro_eval.measure.document_order import ktau_union as ktu, RBO
from repro_eval.measure.effectiveness import rmse as RMSE, nrmse as nRMSE
from r... |
rbo | Determines the Rank-Biased Overlap (RBO) between the original and reproduced document orderings
according to the following paper:
Timo Breuer, Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Philipp Schaer, Ian Soboroff.
How to Measure the Reproducibility of System-oriented IR Experiments.
Proceedings of SIGI... | import pytrec_eval
from repro_eval.util import trim, break_ties
from repro_eval.measure.statistics import ttest
from repro_eval.measure.overall_effects import ER, deltaRI
from repro_eval.measure.document_order import ktau_union as ktu, RBO
from repro_eval.measure.effectiveness import rmse as RMSE, nrmse as nRMSE
from r... | def rbo(self, run_b_rep=None, run_a_rep=None, run_b_path=None, run_a_path=None, print_feedback=False, misinfo=True):
"""
Determines the Rank-Biased Overlap (RBO) between the original and reproduced document orderings
according to the following paper:
Timo Breuer, Nicola Ferro, Norber... | 320 | 381 | import pytrec_eval
from repro_eval.util import trim, break_ties
from repro_eval.measure.statistics import ttest
from repro_eval.measure.overall_effects import ER, deltaRI
from repro_eval.measure.document_order import ktau_union as ktu, RBO
from repro_eval.measure.effectiveness import rmse as RMSE, nrmse as nRMSE
from r... |
rmse | Determines the Root Mean Square Error (RMSE) according to the following paper:
Timo Breuer, Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Philipp Schaer, Ian Soboroff.
How to Measure the Reproducibility of System-oriented IR Experiments.
Proceedings of SIGIR, pages 349-358, 2020.
@param run_b_score: Scores... | import pytrec_eval
from repro_eval.util import trim, break_ties
from repro_eval.measure.statistics import ttest
from repro_eval.measure.overall_effects import ER, deltaRI
from repro_eval.measure.document_order import ktau_union as ktu, RBO
from repro_eval.measure.effectiveness import rmse as RMSE, nrmse as nRMSE
from r... | def rmse(self, run_b_score=None, run_a_score=None, run_b_path=None, run_a_path=None, print_feedback=False):
"""
Determines the Root Mean Square Error (RMSE) according to the following paper:
Timo Breuer, Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Philipp Schaer, Ian Soboroff.
... | 383 | 445 | import pytrec_eval
from repro_eval.util import trim, break_ties
from repro_eval.measure.statistics import ttest
from repro_eval.measure.overall_effects import ER, deltaRI
from repro_eval.measure.document_order import ktau_union as ktu, RBO
from repro_eval.measure.effectiveness import rmse as RMSE, nrmse as nRMSE
from r... |
nrmse | Determines the normalized Root Mean Square Error (RMSE).
@param run_b_score: Scores of the baseline run,
if not provided the scores of the RpdEvaluator object will be used instead.
@param run_a_score: Scores of the advanced run,
if not provided the scores of the RpdEvaluator obj... | import pytrec_eval
from repro_eval.util import trim, break_ties
from repro_eval.measure.statistics import ttest
from repro_eval.measure.overall_effects import ER, deltaRI
from repro_eval.measure.document_order import ktau_union as ktu, RBO
from repro_eval.measure.effectiveness import rmse as RMSE, nrmse as nRMSE
from r... | def nrmse(self, run_b_score=None, run_a_score=None, run_b_path=None, run_a_path=None, print_feedback=False):
"""
Determines the normalized Root Mean Square Error (RMSE).
@param run_b_score: Scores of the baseline run,
if not provided the scores of the RpdEvaluato... | 447 | 506 | import pytrec_eval
from repro_eval.util import trim, break_ties
from repro_eval.measure.statistics import ttest
from repro_eval.measure.overall_effects import ER, deltaRI
from repro_eval.measure.document_order import ktau_union as ktu, RBO
from repro_eval.measure.effectiveness import rmse as RMSE, nrmse as nRMSE
from r... |
evaluate | Evaluates the scores of the original and replicated baseline and advanced runs.
If a (replicated) run is provided only this one will be evaluated and a dictionary with the corresponding
scores is returned.
@param run: A replicated run. If not specified, the original and replicated runs of the the RplEvaluator will
... | import pytrec_eval
from repro_eval.util import trim, break_ties
from repro_eval.measure.statistics import ttest
from repro_eval.measure.overall_effects import ER, deltaRI
from repro_eval.measure.document_order import ktau_union as ktu, RBO
from repro_eval.measure.effectiveness import rmse as RMSE, nrmse as nRMSE
from r... | def evaluate(self, run=None):
"""
Evaluates the scores of the original and replicated baseline and advanced runs.
If a (replicated) run is provided only this one will be evaluated and a dictionary with the corresponding
scores is returned.
@param run: A replicated run. If not... | 558 | 576 | import pytrec_eval
from repro_eval.util import trim, break_ties
from repro_eval.measure.statistics import ttest
from repro_eval.measure.overall_effects import ER, deltaRI
from repro_eval.measure.document_order import ktau_union as ktu, RBO
from repro_eval.measure.effectiveness import rmse as RMSE, nrmse as nRMSE
from r... |
_get_level_lengths | Given an index, find the level length for each element.
Optional argument is a list of index positions which
should not be visible.
Result is a dictionary of (level, inital_position): span | """
Module for applying conditional formatting to
DataFrames and Series.
"""
from collections import defaultdict
from contextlib import contextmanager
import copy
from functools import partial
from itertools import product
from uuid import uuid1
import numpy as np
from pandas.compat import range
from pandas.util._de... | def _get_level_lengths(index, hidden_elements=None):
"""
Given an index, find the level length for each element.
Optional argument is a list of index positions which
should not be visible.
Result is a dictionary of (level, inital_position): span
"""
sentinel = object()
levels = index.f... | 1,316 | 1,356 | """
Module for applying conditional formatting to
DataFrames and Series.
"""
from collections import defaultdict
from contextlib import contextmanager
import copy
from functools import partial
from itertools import product
from uuid import uuid1
import numpy as np
from pandas.compat import range
from pandas.util._de... |
render | Render the built up styles to HTML.
Parameters
----------
`**kwargs` : Any additional keyword arguments are passed through
to ``self.template.render``. This is useful when you need to provide
additional variables for a custom template.
.. versionadded:: 0.20
Returns
-------
rendered : str
The rendered HTML
... | """
Module for applying conditional formatting to
DataFrames and Series.
"""
from collections import defaultdict
from contextlib import contextmanager
import copy
from functools import partial
from itertools import product
from uuid import uuid1
import numpy as np
from pandas.compat import range
from pandas.util._de... | def render(self, **kwargs):
"""
Render the built up styles to HTML.
Parameters
----------
`**kwargs` : Any additional keyword arguments are passed through
to ``self.template.render``. This is useful when you need to provide
additional variables for a custom t... | 421 | 469 | """
Module for applying conditional formatting to
DataFrames and Series.
"""
from collections import defaultdict
from contextlib import contextmanager
import copy
from functools import partial
from itertools import product
from uuid import uuid1
import numpy as np
from pandas.compat import range
from pandas.util._de... |
_compute | Execute the style functions built up in `self._todo`.
Relies on the conventions that all style functions go through
.apply or .applymap. The append styles to apply as tuples of
(application method, *args, **kwargs) | """
Module for applying conditional formatting to
DataFrames and Series.
"""
from collections import defaultdict
from contextlib import contextmanager
import copy
from functools import partial
from itertools import product
from uuid import uuid1
import numpy as np
from pandas.compat import range
from pandas.util._de... | def _compute(self):
"""
Execute the style functions built up in `self._todo`.
Relies on the conventions that all style functions go through
.apply or .applymap. The append styles to apply as tuples of
(application method, *args, **kwargs)
"""
r = self
... | 518 | 530 | """
Module for applying conditional formatting to
DataFrames and Series.
"""
from collections import defaultdict
from contextlib import contextmanager
import copy
from functools import partial
from itertools import product
from uuid import uuid1
import numpy as np
from pandas.compat import range
from pandas.util._de... |
set_properties | Convenience method for setting one or more non-data dependent
properties or each cell.
Parameters
----------
subset : IndexSlice
a valid slice for ``data`` to limit the style application to
kwargs : dict
property: value pairs to be set for each cell
Returns
-------
self : Styler
Examples
--------
>>> df = pd... | """
Module for applying conditional formatting to
DataFrames and Series.
"""
from collections import defaultdict
from contextlib import contextmanager
import copy
from functools import partial
from itertools import product
from uuid import uuid1
import numpy as np
from pandas.compat import range
from pandas.util._de... | def set_properties(self, subset=None, **kwargs):
"""
Convenience method for setting one or more non-data dependent
properties or each cell.
Parameters
----------
subset : IndexSlice
a valid slice for ``data`` to limit the style application to
kwar... | 987 | 1,012 | """
Module for applying conditional formatting to
DataFrames and Series.
"""
from collections import defaultdict
from contextlib import contextmanager
import copy
from functools import partial
from itertools import product
from uuid import uuid1
import numpy as np
from pandas.compat import range
from pandas.util._de... |
bar | Draw bar chart in the cell backgrounds.
Parameters
----------
subset : IndexSlice, optional
A valid slice for `data` to limit the style application to.
axis : int, str or None, default 0
Apply to each column (`axis=0` or `'index'`)
or to each row (`axis=1` or `'columns'`) or
to the entire DataFrame at ... | """
Module for applying conditional formatting to
DataFrames and Series.
"""
from collections import defaultdict
from contextlib import contextmanager
import copy
from functools import partial
from itertools import product
from uuid import uuid1
import numpy as np
from pandas.compat import range
from pandas.util._de... | def bar(self, subset=None, axis=0, color='#d65f5f', width=100,
align='left', vmin=None, vmax=None):
"""
Draw bar chart in the cell backgrounds.
Parameters
----------
subset : IndexSlice, optional
A valid slice for `data` to limit the style application... | 1,073 | 1,141 | """
Module for applying conditional formatting to
DataFrames and Series.
"""
from collections import defaultdict
from contextlib import contextmanager
import copy
from functools import partial
from itertools import product
from uuid import uuid1
import numpy as np
from pandas.compat import range
from pandas.util._de... |
send_email | Sends an email to target email with given message.
Args:
message (str): message you're sending | import time
from bs4 import BeautifulSoup
import requests
import json
from datetime import datetime, timedelta
import psycopg2
import smtplib
import os
DATABASE = os.environ["DATABASE"]
USER = os.environ["USER"]
PASSWORD = os.environ["PASSWORD"]
HOST = os.environ["HOST"]
# MASKED: send_email function (lines 17-35)
... | def send_email(message: str) -> None:
"""
Sends an email to target email with given message.
Args:
message (str): message you're sending
"""
with open("../creds.json", "r") as f:
creds = json.loads(f)
gmail_user = creds["user"]
gmail_pass = creds["pass"]
try:
se... | 17 | 35 | import time
from bs4 import BeautifulSoup
import requests
import json
from datetime import datetime, timedelta
import psycopg2
import smtplib
import os
DATABASE = os.environ["DATABASE"]
USER = os.environ["USER"]
PASSWORD = os.environ["PASSWORD"]
HOST = os.environ["HOST"]
def send_email(message: str)... |
default_extractors | Returns the default extractors for use in ExtractAndEvaluate.
Args:
eval_shared_model: Shared model (single-model evaluation) or dict of shared
models keyed by model name (multi-model evaluation). Required unless the
predictions are provided alongside of the features (i.e. model-agnostic
evaluations).
... | # Lint as: python3
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | def default_extractors( # pylint: disable=invalid-name
eval_shared_model: Union[types.EvalSharedModel,
Dict[Text, types.EvalSharedModel]] = None,
eval_config: config.EvalConfig = None,
slice_spec: Optional[List[slicer.SingleSliceSpec]] = None,
desired_batch_size: Optional[i... | 357 | 444 | # Lint as: python3
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... |
default_evaluators | Returns the default evaluators for use in ExtractAndEvaluate.
Args:
eval_shared_model: Optional shared model (single-model evaluation) or dict
of shared models keyed by model name (multi-model evaluation). Only
required if there are metrics to be computed in-graph using the model.
eval_config: Eval config.... | # Lint as: python3
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | def default_evaluators( # pylint: disable=invalid-name
eval_shared_model: Optional[Union[types.EvalSharedModel,
Dict[Text,
types.EvalSharedModel]]] = None,
eval_config: config.EvalConfig = None,
compute_confidence_intervals: O... | 447 | 509 | # Lint as: python3
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... |
default_writers | Returns the default writers for use in WriteResults.
Args:
output_path: Output path.
eval_shared_model: Optional shared model (single-model evaluation) or dict
of shared models keyed by model name (multi-model evaluation). Only
required if legacy add_metrics_callbacks are used. | # Lint as: python3
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | def default_writers(
output_path: Optional[Text],
eval_shared_model: Optional[Union[types.EvalSharedModel,
Dict[Text, types.EvalSharedModel]]] = None
) -> List[writer.Writer]: # pylint: disable=invalid-name
"""Returns the default writers for use in WriteResults.
Args:... | 512 | 549 | # Lint as: python3
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... |
WriteResults | Writes Evaluation or Validation results using given writers.
Args:
evaluation_or_validation: Evaluation or Validation output.
writers: Writes to use for writing out output.
Raises:
ValueError: If Evaluation or Validation is empty.
Returns:
beam.pvalue.PDone. | # Lint as: python3
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | @beam.ptransform_fn
@beam.typehints.with_input_types(Union[evaluator.Evaluation,
validator.Validation])
@beam.typehints.with_output_types(beam.pvalue.PDone)
def WriteResults( # pylint: disable=invalid-name
evaluation_or_validation: Union[evaluator.Evaluation, validator.Valida... | 648 | 671 | # Lint as: python3
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... |
single_model_analysis | Run model analysis for a single model on a single data set.
This is a convenience wrapper around run_model_analysis for a single model
with a single data set. For more complex use cases, use
tfma.run_model_analysis.
Args:
model_location: Path to the export eval saved model.
data_location: The location of the data... | # Lint as: python3
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | def single_model_analysis(
model_location: Text,
data_location: Text,
output_path: Text = None,
slice_spec: Optional[List[slicer.SingleSliceSpec]] = None) -> EvalResult:
"""Run model analysis for a single model on a single data set.
This is a convenience wrapper around run_model_analysis for a sing... | 1,001 | 1,036 | # Lint as: python3
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... |
multiple_model_analysis | Run model analysis for multiple models on the same data set.
Args:
model_locations: A list of paths to the export eval saved model.
data_location: The location of the data files.
**kwargs: The args used for evaluation. See tfma.single_model_analysis() for
details.
Returns:
A tfma.EvalResults containing al... | # Lint as: python3
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | def multiple_model_analysis(model_locations: List[Text], data_location: Text,
**kwargs) -> EvalResults:
"""Run model analysis for multiple models on the same data set.
Args:
model_locations: A list of paths to the export eval saved model.
data_location: The location of the data ... | 1,039 | 1,056 | # Lint as: python3
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... |
multiple_data_analysis | Run model analysis for a single model on multiple data sets.
Args:
model_location: The location of the exported eval saved model.
data_locations: A list of data set locations.
**kwargs: The args used for evaluation. See tfma.run_model_analysis() for
details.
Returns:
A tfma.EvalResults containing all the ... | # Lint as: python3
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | def multiple_data_analysis(model_location: Text, data_locations: List[Text],
**kwargs) -> EvalResults:
"""Run model analysis for a single model on multiple data sets.
Args:
model_location: The location of the exported eval saved model.
data_locations: A list of data set locations... | 1,059 | 1,076 | # Lint as: python3
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... |
cross_channel_threshold_detector | Parameters
----------
multichannel : np.array
Msamples x Nchannels audio data
fs : float >0
detector_function : function, optional
The function used to detect the start and end of a signal.
Any custom detector function can be given, the compulsory inputs
are audio np.array, sample rate and the functio... | '''
Deals with the actual detection of signals in multichannel audio files.
There are two problems that need to solved while detecting a signal of interest.
#. within-channel signal detection
#. across-channel correspondence matching
Within-channel signal detection
-------------------------------
This task in... | def cross_channel_threshold_detector(multichannel, fs, **kwargs):
'''
Parameters
----------
multichannel : np.array
Msamples x Nchannels audio data
fs : float >0
detector_function : function, optional
The function used to detect the start and end of a signal.
Any custom... | 39 | 75 | '''
Deals with the actual detection of signals in multichannel audio files.
There are two problems that need to solved while detecting a signal of interest.
#. within-channel signal detection
#. across-channel correspondence matching
Within-channel signal detection
-------------------------------
This task in... |
input_fn | Creates tensorflow dataset using the generator_fn
:param words_file: file path of the words file (one sentence per line)
:param tags_file: file path of tags file (tags corresponding to words file)
:param params: if not None then model hyperparameters expected - 'buffer' (as in buffer size) and 'epochs'
:param shuffle_... | # reimplementation of https://github.com/guillaumegenthial/tf_ner/blob/master/models/lstm_crf/main.py
import functools
import json
import logging
from pathlib import Path
import sys
import numpy as np
import tensorflow as tf
# tf.enable_eager_execution()
from tf_metrics import precision, recall, f1
DATADIR = "../../.... | def input_fn(words_file, tags_file, params = None, shuffle_and_repeat = False):
"""Creates tensorflow dataset using the generator_fn
:param words_file: file path of the words file (one sentence per line)
:param tags_file: file path of tags file (tags corresponding to words file)
:param params: if not N... | 48 | 74 | # reimplementation of https://github.com/guillaumegenthial/tf_ner/blob/master/models/lstm_crf/main.py
import functools
import json
import logging
from pathlib import Path
import sys
import numpy as np
import tensorflow as tf
# tf.enable_eager_execution()
from tf_metrics import precision, recall, f1
DATADIR = "../../.... |
chart_descriptions | :param chart: Chart: The alt chart to be used in finding max points
:param suffix: str: The assumption is that the charts have similar column names.
The census chart adds " Census" to the column names.
Make sure to include a space or underscore as appropriate
:return: str: Returns a multi-... |
from math import ceil
import datetime
from altair import Chart # type: ignore
import pandas as pd # type: ignore
import numpy as np
from .parameters import Parameters
from .utils import add_date_column
from .presentation import DATE_FORMAT
def new_admissions_chart(
alt, projection_admits: pd.DataFrame, param... | def chart_descriptions(chart: Chart, labels, suffix: str = ""):
"""
:param chart: Chart: The alt chart to be used in finding max points
:param suffix: str: The assumption is that the charts have similar column names.
The census chart adds " Census" to the column names.
... | 140 | 177 |
from math import ceil
import datetime
from altair import Chart # type: ignore
import pandas as pd # type: ignore
import numpy as np
from .parameters import Parameters
from .utils import add_date_column
from .presentation import DATE_FORMAT
def new_admissions_chart(
alt, projection_admits: pd.DataFrame, param... |
batch_loss | Calculates the loss for the given batch.
Args:
batch_in: The batch.
Returns:
The loss of the given batch. | from __future__ import annotations
import copy
import logging
from collections import defaultdict
from pathlib import Path
from rasa.nlu.featurizers.featurizer import Featurizer
import numpy as np
import scipy.sparse
import tensorflow as tf
from typing import Any, Dict, List, Optional, Text, Tuple, Union, Type
from ... | def batch_loss(
self, batch_in: Union[Tuple[tf.Tensor], Tuple[np.ndarray]]
) -> tf.Tensor:
"""Calculates the loss for the given batch.
Args:
batch_in: The batch.
Returns:
The loss of the given batch.
"""
tf_batch_data = self.batch_to_mode... | 1,559 | 1,628 | from __future__ import annotations
import copy
import logging
from collections import defaultdict
from pathlib import Path
from rasa.nlu.featurizers.featurizer import Featurizer
import numpy as np
import scipy.sparse
import tensorflow as tf
from typing import Any, Dict, List, Optional, Text, Tuple, Union, Type
from ... |
batch_predict | Predicts the output of the given batch.
Args:
batch_in: The batch.
Returns:
The output to predict. | from __future__ import annotations
import copy
import logging
from collections import defaultdict
from pathlib import Path
from rasa.nlu.featurizers.featurizer import Featurizer
import numpy as np
import scipy.sparse
import tensorflow as tf
from typing import Any, Dict, List, Optional, Text, Tuple, Union, Type
from ... | def batch_predict(
self, batch_in: Union[Tuple[tf.Tensor], Tuple[np.ndarray]]
) -> Dict[Text, tf.Tensor]:
"""Predicts the output of the given batch.
Args:
batch_in: The batch.
Returns:
The output to predict.
"""
tf_batch_data = self.batch... | 1,723 | 1,775 | from __future__ import annotations
import copy
import logging
from collections import defaultdict
from pathlib import Path
from rasa.nlu.featurizers.featurizer import Featurizer
import numpy as np
import scipy.sparse
import tensorflow as tf
from typing import Any, Dict, List, Optional, Text, Tuple, Union, Type
from ... |
_compute_term_frequency | Computes TF metrics for each sentence (column) in the given matrix.
You can read more about smoothing parameter at URL below:
http://nlp.stanford.edu/IR-book/html/htmledition/maximum-tf-normalization-1.html | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division, print_function, unicode_literals
import math
from warnings import warn
try:
import numpy
except ImportError:
numpy = None
try:
from numpy.linalg import svd as singular_value_decomposition
except ImportError:... | def _compute_term_frequency(self, matrix, smooth=0.4):
"""
Computes TF metrics for each sentence (column) in the given matrix.
You can read more about smoothing parameter at URL below:
http://nlp.stanford.edu/IR-book/html/htmledition/maximum-tf-normalization-1.html
"""
... | 90 | 107 | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division, print_function, unicode_literals
import math
from warnings import warn
try:
import numpy
except ImportError:
numpy = None
try:
from numpy.linalg import svd as singular_value_decomposition
except ImportError:... |
run | Invoca o utilitário `isis2json` com os parâmetros adaptados para a
leitura de arquivos MST de acordo com as definições padrões utilizadas
pelo __main__ da ferramenta `isis2json`.
O resultado de saída pode ser escrito diretamente para um arquivo em disco
ou retornará uma lista contento as linhas passíveis de conversão ... | import os
import logging
import json
from typing import Union, Dict, List
from documentstore_migracao.utils.isis2json import isis2json
logger = logging.getLogger(__name__)
class OutputContainer:
"""Classe que mimetiza a escrita de arquivos para a escrita em uma estrutura
de lista. Cada linha em um arquivo r... | def run(path: str, output_file: str = "", mongo=False) -> Union[None, List[dict]]:
"""Invoca o utilitário `isis2json` com os parâmetros adaptados para a
leitura de arquivos MST de acordo com as definições padrões utilizadas
pelo __main__ da ferramenta `isis2json`.
O resultado de saída pode ser escrito ... | 42 | 85 | import os
import logging
import json
from typing import Union, Dict, List
from documentstore_migracao.utils.isis2json import isis2json
logger = logging.getLogger(__name__)
class OutputContainer:
"""Classe que mimetiza a escrita de arquivos para a escrita em uma estrutura
de lista. Cada linha em um arquivo r... |
parse | Verifies and parses an unserialized raw message into an actual WAMP message instance.
:param wmsg: The unserialized raw message.
:type wmsg: list
:returns: An instance of this class. | ###############################################################################
##
## Copyright (C) 2013-2014 Tavendo GmbH
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
## h... | @staticmethod
def parse(wmsg):
"""
Verifies and parses an unserialized raw message into an actual WAMP message instance.
:param wmsg: The unserialized raw message.
:type wmsg: list
:returns: An instance of this class.
"""
## this should already be verified by WampSerial... | 178 | 249 | ###############################################################################
##
## Copyright (C) 2013-2014 Tavendo GmbH
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
## h... |
__init__ | :param session: The WAMP session ID the other peer is assigned.
:type session: int
:param roles: The WAMP roles to announce.
:type roles: list of :class:`autobahn.wamp.role.RoleFeatures`
:param authid: The authentication ID assigned.
:type authid: unicode or None
:param authrole: The authentication role assigned.
:type... | ###############################################################################
##
## Copyright (C) 2013-2014 Tavendo GmbH
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
## h... | def __init__(self, session, roles, authid = None, authrole = None, authmethod = None, authprovider = None):
"""
:param session: The WAMP session ID the other peer is assigned.
:type session: int
:param roles: The WAMP roles to announce.
:type roles: list of :class:`autobahn.wamp.role.R... | 295 | 326 | ###############################################################################
##
## Copyright (C) 2013-2014 Tavendo GmbH
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
## h... |
parse | Verifies and parses an unserialized raw message into an actual WAMP message instance.
:param wmsg: The unserialized raw message.
:type wmsg: list
:returns: An instance of this class. | ###############################################################################
##
## Copyright (C) 2013-2014 Tavendo GmbH
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
## h... | @staticmethod
def parse(wmsg):
"""
Verifies and parses an unserialized raw message into an actual WAMP message instance.
:param wmsg: The unserialized raw message.
:type wmsg: list
:returns: An instance of this class.
"""
## this should already be verified by WampSerial... | 329 | 383 | ###############################################################################
##
## Copyright (C) 2013-2014 Tavendo GmbH
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
## h... |
__init__ | :param reason: WAMP or application error URI for aborting reason.
:type reason: unicode
:param message: Optional human-readable closing message, e.g. for logging purposes.
:type message: unicode or None | ###############################################################################
##
## Copyright (C) 2013-2014 Tavendo GmbH
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
## h... | def __init__(self, reason, message = None):
"""
:param reason: WAMP or application error URI for aborting reason.
:type reason: unicode
:param message: Optional human-readable closing message, e.g. for logging purposes.
:type message: unicode or None
"""
assert(type(reason)... | 437 | 450 | ###############################################################################
##
## Copyright (C) 2013-2014 Tavendo GmbH
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
## h... |
parse | Verifies and parses an unserialized raw message into an actual WAMP message instance.
:param wmsg: The unserialized raw message.
:type wmsg: list
:returns: An instance of this class. | ###############################################################################
##
## Copyright (C) 2013-2014 Tavendo GmbH
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
## h... | @staticmethod
def parse(wmsg):
"""
Verifies and parses an unserialized raw message into an actual WAMP message instance.
:param wmsg: The unserialized raw message.
:type wmsg: list
:returns: An instance of this class.
"""
## this should already be verified by WampSerial... | 453 | 485 | ###############################################################################
##
## Copyright (C) 2013-2014 Tavendo GmbH
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
## h... |
__init__ | :param method: The authentication method.
:type method: unicode
:param extra: Authentication method specific information.
:type extra: dict or None | ###############################################################################
##
## Copyright (C) 2013-2014 Tavendo GmbH
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
## h... | def __init__(self, method, extra = None):
"""
:param method: The authentication method.
:type method: unicode
:param extra: Authentication method specific information.
:type extra: dict or None
"""
assert(type(method) == six.text_type)
assert(extra is None or type(ext... | 520 | 533 | ###############################################################################
##
## Copyright (C) 2013-2014 Tavendo GmbH
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
## h... |
parse | Verifies and parses an unserialized raw message into an actual WAMP message instance.
:param wmsg: The unserialized raw message.
:type wmsg: list
:returns: An instance of this class. | ###############################################################################
##
## Copyright (C) 2013-2014 Tavendo GmbH
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
## h... | @staticmethod
def parse(wmsg):
"""
Verifies and parses an unserialized raw message into an actual WAMP message instance.
:param wmsg: The unserialized raw message.
:type wmsg: list
:returns: An instance of this class.
"""
## this should already be verified by WampSerial... | 536 | 561 | ###############################################################################
##
## Copyright (C) 2013-2014 Tavendo GmbH
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
## h... |
__init__ | :param signature: The signature for the authentication challenge.
:type signature: unicode
:param extra: Authentication method specific information.
:type extra: dict or None | ###############################################################################
##
## Copyright (C) 2013-2014 Tavendo GmbH
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
## h... | def __init__(self, signature, extra = None):
"""
:param signature: The signature for the authentication challenge.
:type signature: unicode
:param extra: Authentication method specific information.
:type extra: dict or None
"""
assert(type(signature) == six.text_type)
... | 592 | 605 | ###############################################################################
##
## Copyright (C) 2013-2014 Tavendo GmbH
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
## h... |
parse | Verifies and parses an unserialized raw message into an actual WAMP message instance.
:param wmsg: The unserialized raw message.
:type wmsg: list
:returns: An instance of this class. | ###############################################################################
##
## Copyright (C) 2013-2014 Tavendo GmbH
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
## h... | @staticmethod
def parse(wmsg):
"""
Verifies and parses an unserialized raw message into an actual WAMP message instance.
:param wmsg: The unserialized raw message.
:type wmsg: list
:returns: An instance of this class.
"""
## this should already be verified by WampSerial... | 608 | 633 | ###############################################################################
##
## Copyright (C) 2013-2014 Tavendo GmbH
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
## h... |
__init__ | :param reason: Optional WAMP or application error URI for closing reason.
:type reason: unicode
:param message: Optional human-readable closing message, e.g. for logging purposes.
:type message: unicode or None | ###############################################################################
##
## Copyright (C) 2013-2014 Tavendo GmbH
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
## h... | def __init__(self, reason = DEFAULT_REASON, message = None):
"""
:param reason: Optional WAMP or application error URI for closing reason.
:type reason: unicode
:param message: Optional human-readable closing message, e.g. for logging purposes.
:type message: unicode or None
"""
... | 669 | 682 | ###############################################################################
##
## Copyright (C) 2013-2014 Tavendo GmbH
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
## h... |
parse | Verifies and parses an unserialized raw message into an actual WAMP message instance.
:param wmsg: The unserialized raw message.
:type wmsg: list
:returns: An instance of this class. | ###############################################################################
##
## Copyright (C) 2013-2014 Tavendo GmbH
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
## h... | @staticmethod
def parse(wmsg):
"""
Verifies and parses an unserialized raw message into an actual WAMP message instance.
:param wmsg: The unserialized raw message.
:type wmsg: list
:returns: An instance of this class.
"""
## this should already be verified by WampSerial... | 685 | 717 | ###############################################################################
##
## Copyright (C) 2013-2014 Tavendo GmbH
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
## h... |
parse | Verifies and parses an unserialized raw message into an actual WAMP message instance.
:param wmsg: The unserialized raw message.
:type wmsg: list
:returns: An instance of this class. | ###############################################################################
##
## Copyright (C) 2013-2014 Tavendo GmbH
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
## h... | @staticmethod
def parse(wmsg):
"""
Verifies and parses an unserialized raw message into an actual WAMP message instance.
:param wmsg: The unserialized raw message.
:type wmsg: list
:returns: An instance of this class.
"""
## this should already be verified by WampSerial... | 775 | 816 | ###############################################################################
##
## Copyright (C) 2013-2014 Tavendo GmbH
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
## h... |
__init__ | :param request_type: The WAMP message type code for the original request.
:type request_type: int
:param request: The WAMP request ID of the original request (`Call`, `Subscribe`, ...) this error occurred for.
:type request: int
:param error: The WAMP or application error URI for the error that occurred.
:type error: u... | ###############################################################################
##
## Copyright (C) 2013-2014 Tavendo GmbH
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
## h... | def __init__(self, request_type, request, error, args = None, kwargs = None):
"""
:param request_type: The WAMP message type code for the original request.
:type request_type: int
:param request: The WAMP request ID of the original request (`Call`, `Subscribe`, ...) this error occurred for.
... | 854 | 881 | ###############################################################################
##
## Copyright (C) 2013-2014 Tavendo GmbH
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
## h... |
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