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 |
|---|---|---|---|---|---|---|
setup_exceptionhook | Overloads default sys.excepthook with our exceptionhook handler.
If interactive, our exceptionhook handler will invoke
pdb.post_mortem; if not interactive, then invokes default handler. | # emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 et:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ### ... | def setup_exceptionhook(ipython=False):
"""Overloads default sys.excepthook with our exceptionhook handler.
If interactive, our exceptionhook handler will invoke
pdb.post_mortem; if not interactive, then invokes default handler.
"""
def _datalad_pdb_excepthook(type, value, tb):
impor... | 1,510 | 1,531 | # emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 et:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ### ... |
getpwd | Try to return a CWD without dereferencing possible symlinks
This function will try to use PWD environment variable to provide a current
working directory, possibly with some directories along the path being
symlinks to other directories. Unfortunately, PWD is used/set only by the
shell and such functions as `os.chdir... | # emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 et:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ### ... | def getpwd():
"""Try to return a CWD without dereferencing possible symlinks
This function will try to use PWD environment variable to provide a current
working directory, possibly with some directories along the path being
symlinks to other directories. Unfortunately, PWD is used/set only by the
... | 1,571 | 1,650 | # emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 et:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ### ... |
dlabspath | Symlinks-in-the-cwd aware abspath
os.path.abspath relies on os.getcwd() which would not know about symlinks
in the path
TODO: we might want to norm=True by default to match behavior of
os .path.abspath? | # emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 et:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ### ... | def dlabspath(path, norm=False):
"""Symlinks-in-the-cwd aware abspath
os.path.abspath relies on os.getcwd() which would not know about symlinks
in the path
TODO: we might want to norm=True by default to match behavior of
os .path.abspath?
"""
if not isabs(path):
# if not absolute -... | 1,694 | 1,706 | # emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 et:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ### ... |
knows_annex | Returns whether at a given path there is information about an annex
It is just a thin wrapper around GitRepo.is_with_annex() classmethod
which also checks for `path` to exist first.
This includes actually present annexes, but also uninitialized ones, or
even the presence of a remote annex branch. | # emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 et:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ### ... | def knows_annex(path):
"""Returns whether at a given path there is information about an annex
It is just a thin wrapper around GitRepo.is_with_annex() classmethod
which also checks for `path` to exist first.
This includes actually present annexes, but also uninitialized ones, or
even the presence ... | 1,773 | 1,787 | # emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 et:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ### ... |
get_trace | Return the trace/path to reach a node in a tree.
Parameters
----------
edges : sequence(2-tuple)
The tree given by a sequence of edges (parent, child) tuples. The
nodes can be identified by any value and data type that supports
the '==' operation.
start :
Identifier of the start node. Must be present as a valu... | # emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 et:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ### ... | def get_trace(edges, start, end, trace=None):
"""Return the trace/path to reach a node in a tree.
Parameters
----------
edges : sequence(2-tuple)
The tree given by a sequence of edges (parent, child) tuples. The
nodes can be identified by any value and data type that supports
the '=='... | 1,912 | 1,965 | # emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 et:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ### ... |
get_dataset_root | Return the root of an existent dataset containing a given path
The root path is returned in the same absolute or relative form
as the input argument. If no associated dataset exists, or the
input path doesn't exist, None is returned.
If `path` is a symlink or something other than a directory, its
the root dataset con... | # emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 et:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ### ... | def get_dataset_root(path):
"""Return the root of an existent dataset containing a given path
The root path is returned in the same absolute or relative form
as the input argument. If no associated dataset exists, or the
input path doesn't exist, None is returned.
If `path` is a symlink or somethi... | 1,968 | 2,009 | # emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 et:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ### ... |
try_multiple_dec | Decorator to try function multiple times.
Main purpose is to decorate functions dealing with removal of files/directories
and which might need a few seconds to work correctly on Windows which takes
its time to release files/directories.
Parameters
----------
ntrials: int, optional
duration: float, optional
Seconds ... | # emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 et:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ### ... | @optional_args
def try_multiple_dec(
f, ntrials=None, duration=0.1, exceptions=None, increment_type=None,
exceptions_filter=None,
logger=None,
):
"""Decorator to try function multiple times.
Main purpose is to decorate functions dealing with removal of files/directories
and which mi... | 2,027 | 2,087 | # emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 et:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ### ... |
open_r_encdetect | Return a file object in read mode with auto-detected encoding
This is helpful when dealing with files of unknown encoding.
Parameters
----------
readahead: int, optional
How many bytes to read for guessing the encoding type. If
negative - full file will be read | # emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 et:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ### ... | def open_r_encdetect(fname, readahead=1000):
"""Return a file object in read mode with auto-detected encoding
This is helpful when dealing with files of unknown encoding.
Parameters
----------
readahead: int, optional
How many bytes to read for guessing the encoding type. If
negative ... | 2,136 | 2,158 | # emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 et:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ### ... |
import_modules | Helper to import a list of modules without failing if N/A
Parameters
----------
modnames: list of str
List of module names to import
pkg: str
Package under which to import
msg: str, optional
Message template for .format() to log at DEBUG level if import fails.
Keys {module} and {package} will be provided and '... | # emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 et:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ### ... | def import_modules(modnames, pkg, msg="Failed to import {module}", log=lgr.debug):
"""Helper to import a list of modules without failing if N/A
Parameters
----------
modnames: list of str
List of module names to import
pkg: str
Package under which to import
msg: str, optional
... | 2,222 | 2,256 | # emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 et:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ### ... |
lmtime | Set mtime for files, while not de-referencing symlinks.
To overcome absence of os.lutime
Works only on linux and OSX ATM | # emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 et:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ### ... | def lmtime(filepath, mtime):
"""Set mtime for files, while not de-referencing symlinks.
To overcome absence of os.lutime
Works only on linux and OSX ATM
"""
from .cmd import WitlessRunner
# convert mtime to format touch understands [[CC]YY]MMDDhhmm[.SS]
smti... | 673 | 693 | # emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 et:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ### ... |
_match_datetime_pattern | Match the datetime pattern at the beginning of the token list.
There are several formats that this method needs to understand
and distinguish between (see MongoDB's SERVER-7965):
ctime-pre2.4 Wed Dec 31 19:00:00
ctime Wed Dec 31 19:00:00.000
iso8601-utc 1970-01-01T00:00:00.000Z
iso8601-local 1969-1... | #!/bin/python
import json
import re
import sys
from datetime import datetime
import dateutil.parser
from dateutil.tz import tzutc
from six.moves import range
from mtools.util.pattern import json2pattern
class DateTimeEncoder(json.JSONEncoder):
"""Custom datetime encoder for json output."""
def default(se... | def _match_datetime_pattern(self, tokens):
"""
Match the datetime pattern at the beginning of the token list.
There are several formats that this method needs to understand
and distinguish between (see MongoDB's SERVER-7965):
ctime-pre2.4 Wed Dec 31 19:00:00
ctim... | 279 | 330 | #!/bin/python
import json
import re
import sys
from datetime import datetime
import dateutil.parser
from dateutil.tz import tzutc
from six.moves import range
from mtools.util.pattern import json2pattern
class DateTimeEncoder(json.JSONEncoder):
"""Custom datetime encoder for json output."""
def default(se... |
merge | Method used to merge multiple reports together. Here it simply
concatenates the lists of values saved in the different reports.
Parameters
----------
reports : list of dict
List of reports that need to be concatenated together
Returns
-------
report : dict
Final report with all concatenated values | """Module containing examples of report builder functions and classes."""
from collections import OrderedDict
import numpy as np
def example_fn_build_report(report, pvarray):
"""Example function that builds a report when used in the
:py:class:`~pvfactors.engine.PVEngine` with full mode simulations.
Here ... | @staticmethod
def merge(reports):
"""Method used to merge multiple reports together. Here it simply
concatenates the lists of values saved in the different reports.
Parameters
----------
reports : list of dict
List of reports that need to be concatenated toge... | 73 | 95 | """Module containing examples of report builder functions and classes."""
from collections import OrderedDict
import numpy as np
def example_fn_build_report(report, pvarray):
"""Example function that builds a report when used in the
:py:class:`~pvfactors.engine.PVEngine` with full mode simulations.
Here ... |
call | Applies embedding based on inputs tensor.
Returns:
final_embeddings (`tf.Tensor`): output embedding tensor. | # coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. 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 r... | def call(
self,
input_ids: tf.Tensor = None,
position_ids: tf.Tensor = None,
token_type_ids: tf.Tensor = None,
inputs_embeds: tf.Tensor = None,
past_key_values_length=0,
training: bool = False,
) -> tf.Tensor:
"""
Applies embedding based on... | 106 | 143 | # coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. 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 r... |
simulate_step_response | Compute the linear model response to an Heaviside function (or all-ones
array) sampled at given time instances.
If the time array is omitted then a time sequence is generated based on
the poles of the model.
Parameters
----------
sys : {State, Transfer}
The system model to be simulated
t : array_like
The real... | import numpy as np
from numpy import (reciprocal, einsum, maximum, minimum, zeros_like,
atleast_1d, squeeze)
from scipy.linalg import eig, eigvals, matrix_balance, norm
from harold._classes import Transfer, transfer_to_state
from harold._discrete_funcs import discretize
from harold._arg_utils import ... | def simulate_step_response(sys, t=None):
"""
Compute the linear model response to an Heaviside function (or all-ones
array) sampled at given time instances.
If the time array is omitted then a time sequence is generated based on
the poles of the model.
Parameters
----------
sys : {Stat... | 157 | 203 | import numpy as np
from numpy import (reciprocal, einsum, maximum, minimum, zeros_like,
atleast_1d, squeeze)
from scipy.linalg import eig, eigvals, matrix_balance, norm
from harold._classes import Transfer, transfer_to_state
from harold._discrete_funcs import discretize
from harold._arg_utils import ... |
simulate_impulse_response | Compute the linear model response to an Dirac delta pulse (or all-zeros
array except the first sample being 1/dt at each channel) sampled at given
time instances.
If the time array is omitted then a time sequence is generated based on
the poles of the model.
Parameters
----------
sys : {State, Transfer}
The syste... | import numpy as np
from numpy import (reciprocal, einsum, maximum, minimum, zeros_like,
atleast_1d, squeeze)
from scipy.linalg import eig, eigvals, matrix_balance, norm
from harold._classes import Transfer, transfer_to_state
from harold._discrete_funcs import discretize
from harold._arg_utils import ... | def simulate_impulse_response(sys, t=None):
"""
Compute the linear model response to an Dirac delta pulse (or all-zeros
array except the first sample being 1/dt at each channel) sampled at given
time instances.
If the time array is omitted then a time sequence is generated based on
the poles of... | 206 | 254 | import numpy as np
from numpy import (reciprocal, einsum, maximum, minimum, zeros_like,
atleast_1d, squeeze)
from scipy.linalg import eig, eigvals, matrix_balance, norm
from harold._classes import Transfer, transfer_to_state
from harold._discrete_funcs import discretize
from harold._arg_utils import ... |
XLRDParser | Parses old excel file into tableData object. Only first sheet.
Dont use this directly, use
td=TableData('xsl', infile)
td=TableData.load=table(infile)
instead
xlrd uses UTF16. What comes out of here?
TO DO:
1. better tests for
-Unicode issues not tested
-Excel data fields change appearance
2. conversion/tr... | import os
'''
TableData deals with data that comes from MS Excel, csv, xml. More precisely, it expects
a single table which has headings in the first row. It converts between these formats and usually keeps
information on a round trip between those formats identical.
TableData also allows for simple transformations,... | def XLRDParser (self, infile):
'''
Parses old excel file into tableData object. Only first sheet.
Dont use this directly, use
td=TableData('xsl', infile)
td=TableData.load=table(infile)
instead
xlrd uses UTF16. What comes out of here?
... | 96 | 148 | import os
'''
TableData deals with data that comes from MS Excel, csv, xml. More precisely, it expects
a single table which has headings in the first row. It converts between these formats and usually keeps
information on a round trip between those formats identical.
TableData also allows for simple transformations,... |
search | Returns list of cells [cid,rid] that contain the needle.
r=td.search(needle) # (1,1)
tuples, lists? I am not quite sure! | import os
'''
TableData deals with data that comes from MS Excel, csv, xml. More precisely, it expects
a single table which has headings in the first row. It converts between these formats and usually keeps
information on a round trip between those formats identical.
TableData also allows for simple transformations,... | def search (self, needle):
'''
Returns list of cells [cid,rid] that contain the needle.
r=td.search(needle) # (1,1)
tuples, lists? I am not quite sure!
'''
results=[]
for rid in range(0, self.nrows()):
for cid in range(0... | 241 | 257 | import os
'''
TableData deals with data that comes from MS Excel, csv, xml. More precisely, it expects
a single table which has headings in the first row. It converts between these formats and usually keeps
information on a round trip between those formats identical.
TableData also allows for simple transformations,... |
addCol | Add a new column called name at the end of the row.
Cells with be empty.
Returns the cid of the new column, same as cindex(cname). | import os
'''
TableData deals with data that comes from MS Excel, csv, xml. More precisely, it expects
a single table which has headings in the first row. It converts between these formats and usually keeps
information on a round trip between those formats identical.
TableData also allows for simple transformations,... | def addCol (self,name):
'''
Add a new column called name at the end of the row.
Cells with be empty.
Returns the cid of the new column, same as cindex(cname).
'''
#update
self.table[0].append(name)
self._uniqueColumns()
for rid in range(1, ... | 308 | 320 | import os
'''
TableData deals with data that comes from MS Excel, csv, xml. More precisely, it expects
a single table which has headings in the first row. It converts between these formats and usually keeps
information on a round trip between those formats identical.
TableData also allows for simple transformations,... |
get_markdown_text_for_pub | Gets a dictionary `pub`, returns a markdown formatted text.
An example pub:
{'authors': 'McLellan, S. L., and Eren, A. M.',
'doi': '10.1016/j.tim.2014.08.002',
'issue': '22(12), 697-706',
'title': 'Discovering new indicators of fecal pollution.',
'journal': 'Trends Microbiol',
'year... | # -*- coding: utf-8 -*-
# an ugly hack to convert some stuff into other stuff...
# EDIT THESE #####################################################################
names_to_highlight = ['Eren AM',
'Delmont TO',
'Esen ÖC',
'Lee STM',
... | def get_markdown_text_for_pub(self, pub):
"""Gets a dictionary `pub`, returns a markdown formatted text.
An example pub:
{'authors': 'McLellan, S. L., and Eren, A. M.',
'doi': '10.1016/j.tim.2014.08.002',
'issue': '22(12), 697-706',
... | 138 | 191 | # -*- coding: utf-8 -*-
# an ugly hack to convert some stuff into other stuff...
# EDIT THESE #####################################################################
names_to_highlight = ['Eren AM',
'Delmont TO',
'Esen ÖC',
'Lee STM',
... |
build_format_file | Creates the non-xml SQL format file. Puts 4 spaces between each section.
See https://docs.microsoft.com/en-us/sql/relational-databases/import-export/non-xml-format-files-sql-server
for the specification of the file.
# TODO add params/options to control:
# - the char type (not just SQLCHAR),
Parameters
----------
df... | # -*- coding: utf-8 -*-
"""
Created on Sat Aug 3 23:07:15 2019
@author: ydima
"""
import logging
import os
from pathlib import Path
import random
import shlex
import string
from subprocess import PIPE, Popen
import tempfile
from typing import Dict, List, Optional, Union
import pandas as pd
from .constants import (... | def build_format_file(
df: pd.DataFrame, delimiter: str, db_cols_order: Optional[Dict[str, int]] = None
) -> str:
"""
Creates the non-xml SQL format file. Puts 4 spaces between each section.
See https://docs.microsoft.com/en-us/sql/relational-databases/import-export/non-xml-format-files-sql-server
f... | 145 | 193 | # -*- coding: utf-8 -*-
"""
Created on Sat Aug 3 23:07:15 2019
@author: ydima
"""
import logging
import os
from pathlib import Path
import random
import shlex
import string
from subprocess import PIPE, Popen
import tempfile
from typing import Dict, List, Optional, Union
import pandas as pd
from .constants import (... |
run_cmd | Runs the given command.
Prints STDOUT in real time, prints STDERR when command is complete,
and logs both STDOUT and STDERR.
Paramters
---------
cmd : list of str
The command to run, to be submitted to `subprocess.Popen()`
Returns
-------
The exit code of the command | # -*- coding: utf-8 -*-
"""
Created on Sat Aug 3 23:07:15 2019
@author: ydima
"""
import logging
import os
from pathlib import Path
import random
import shlex
import string
from subprocess import PIPE, Popen
import tempfile
from typing import Dict, List, Optional, Union
import pandas as pd
from .constants import (... | def run_cmd(cmd: List[str]) -> int:
"""
Runs the given command.
Prints STDOUT in real time, prints STDERR when command is complete,
and logs both STDOUT and STDERR.
Paramters
---------
cmd : list of str
The command to run, to be submitted to `subprocess.Popen()`
Returns... | 213 | 247 | # -*- coding: utf-8 -*-
"""
Created on Sat Aug 3 23:07:15 2019
@author: ydima
"""
import logging
import os
from pathlib import Path
import random
import shlex
import string
from subprocess import PIPE, Popen
import tempfile
from typing import Dict, List, Optional, Union
import pandas as pd
from .constants import (... |
_setupDistribServer | Set up a resource on a distrib site using L{ResourcePublisher}.
@param child: The resource to publish using distrib.
@return: A tuple consisting of the host and port on which to contact
the created site. | # Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
"""
Tests for L{twisted.web.distrib}.
"""
from os.path import abspath
from xml.dom.minidom import parseString
try:
import pwd
except ImportError:
pwd = None
from zope.interface.verify import verifyObject
from twisted.python import filep... | def _setupDistribServer(self, child):
"""
Set up a resource on a distrib site using L{ResourcePublisher}.
@param child: The resource to publish using distrib.
@return: A tuple consisting of the host and port on which to contact
the created site.
"""
dist... | 109 | 135 | # Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
"""
Tests for L{twisted.web.distrib}.
"""
from os.path import abspath
from xml.dom.minidom import parseString
try:
import pwd
except ImportError:
pwd = None
from zope.interface.verify import verifyObject
from twisted.python import filep... |
test_getPublicHTMLChild | L{UserDirectory.getChild} returns a L{static.File} instance when passed
the name of a user with a home directory containing a I{public_html}
directory. | # Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
"""
Tests for L{twisted.web.distrib}.
"""
from os.path import abspath
from xml.dom.minidom import parseString
try:
import pwd
except ImportError:
pwd = None
from zope.interface.verify import verifyObject
from twisted.python import filep... | def test_getPublicHTMLChild(self):
"""
L{UserDirectory.getChild} returns a L{static.File} instance when passed
the name of a user with a home directory containing a I{public_html}
directory.
"""
home = filepath.FilePath(self.bob[-2])
public_html = home.child('... | 444 | 456 | # Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
"""
Tests for L{twisted.web.distrib}.
"""
from os.path import abspath
from xml.dom.minidom import parseString
try:
import pwd
except ImportError:
pwd = None
from zope.interface.verify import verifyObject
from twisted.python import filep... |
test_getDistribChild | L{UserDirectory.getChild} returns a L{ResourceSubscription} instance
when passed the name of a user suffixed with C{".twistd"} who has a
home directory containing a I{.twistd-web-pb} socket. | # Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
"""
Tests for L{twisted.web.distrib}.
"""
from os.path import abspath
from xml.dom.minidom import parseString
try:
import pwd
except ImportError:
pwd = None
from zope.interface.verify import verifyObject
from twisted.python import filep... | def test_getDistribChild(self):
"""
L{UserDirectory.getChild} returns a L{ResourceSubscription} instance
when passed the name of a user suffixed with C{".twistd"} who has a
home directory containing a I{.twistd-web-pb} socket.
"""
home = filepath.FilePath(self.bob[-2]... | 459 | 472 | # Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
"""
Tests for L{twisted.web.distrib}.
"""
from os.path import abspath
from xml.dom.minidom import parseString
try:
import pwd
except ImportError:
pwd = None
from zope.interface.verify import verifyObject
from twisted.python import filep... |
length_normalize | Length normalize the matrix
Args:
matrix (np.ndarray): Input matrix that needs to be normalized
Returns:
Normalized matrix | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import numpy as np
from sklearn.decomposition import PCA
from reco_utils.dataset.download_utils import maybe_download
from IPython import embed
# MASKED: length_normalize function (lines 10-21)
def mean_center(matrix):
... | def length_normalize(matrix):
"""Length normalize the matrix
Args:
matrix (np.ndarray): Input matrix that needs to be normalized
Returns:
Normalized matrix
"""
norms = np.sqrt(np.sum(matrix**2, axis=1))
norms[norms == 0] = 1
return matrix / norms[:, np.newaxis] | 10 | 21 | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import numpy as np
from sklearn.decomposition import PCA
from reco_utils.dataset.download_utils import maybe_download
from IPython import embed
def length_normalize(matrix):
"""Length normalize the matrix
Args:
... |
reduce_dims | Reduce dimensionality of the data using PCA.
Args:
matrix (np.ndarray): Matrix of the form (n_sampes, n_features)
target_dim (uint): Dimension to which n_features should be reduced to. | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import numpy as np
from sklearn.decomposition import PCA
from reco_utils.dataset.download_utils import maybe_download
from IPython import embed
def length_normalize(matrix):
"""Length normalize the matrix
Args:
... | def reduce_dims(matrix, target_dim):
"""Reduce dimensionality of the data using PCA.
Args:
matrix (np.ndarray): Matrix of the form (n_sampes, n_features)
target_dim (uint): Dimension to which n_features should be reduced to.
"""
model = PCA(n_components=target_dim)
model.fit(matrix... | 34 | 44 | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import numpy as np
from sklearn.decomposition import PCA
from reco_utils.dataset.download_utils import maybe_download
from IPython import embed
def length_normalize(matrix):
"""Length normalize the matrix
Args:
... |
__init__ | Initializes the learning rate scheduler.
:param optimizer: A PyTorch optimizer.
:param warmup_epochs: The number of epochs during which to linearly increase the learning rate.
:param total_epochs: The total number of epochs.
:param steps_per_epoch: The number of steps (batches) per epoch.
:param init_lr: The initial l... | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
'''
@File : utils_node.py
@Time : 2022/03/08 14:35:13
@Author : Jianwen Chen
@Version : 1.0
@Contact : chenjw48@mail2.sysu.edu.cn
@License : (C)Copyright 2021-2022, SAIL-Lab
'''
######################################## import area ######################... | def __init__(self, optimizer, warmup_epochs, total_epochs, steps_per_epoch, init_lr, max_lr, final_lr):
"""
Initializes the learning rate scheduler.
:param optimizer: A PyTorch optimizer.
:param warmup_epochs: The number of epochs during which to linearly increase the learning rate.... | 139 | 171 | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
'''
@File : utils_node.py
@Time : 2022/03/08 14:35:13
@Author : Jianwen Chen
@Version : 1.0
@Contact : chenjw48@mail2.sysu.edu.cn
@License : (C)Copyright 2021-2022, SAIL-Lab
'''
######################################## import area ######################... |
get_indices | This is a tool that will read a CIF file and return the unique T-sites,
their multiplicities, and an example atom index.
It also does the same for the unique O-sites in the framework.
This tool only works on CIFs that are formatted the same way as the IZA
Structure Database CIFs. | __all__ = ['read_cif','cif_site_labels']
from ase.io import read
from ase.spacegroup import spacegroup
import sys
import os
import logging
from math import *
import numpy as np
import pkg_resources
import warnings
warnings.filterwarnings("ignore")
path = '.temp_files/'
filepath = pkg_resources.resource_filename(__na... | def get_indices(cif):
'''
This is a tool that will read a CIF file and return the unique T-sites,
their multiplicities, and an example atom index.
It also does the same for the unique O-sites in the framework.
This tool only works on CIFs that are formatted the same way as the IZA
Structure Da... | 378 | 415 | __all__ = ['read_cif','cif_site_labels']
from ase.io import read
from ase.spacegroup import spacegroup
import sys
import os
import logging
from math import *
import numpy as np
import pkg_resources
import warnings
warnings.filterwarnings("ignore")
path = '.temp_files/'
filepath = pkg_resources.resource_filename(__na... |
from_service_account_file | Creates an instance of this client using the provided credentials
file.
Args:
filename (str): The path to the service account private key json
file.
args: Additional arguments to pass to the constructor.
kwargs: Additional arguments to pass to the constructor.
Returns:
TextToSpeechClient: The ... | # -*- coding: utf-8 -*-
#
# 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... | @classmethod
def from_service_account_file(cls, filename, *args, **kwargs):
"""Creates an instance of this client using the provided credentials
file.
Args:
filename (str): The path to the service account private key json
file.
args: Additional ar... | 51 | 67 | # -*- coding: utf-8 -*-
#
# 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... |
keras_convert_hdf5_model_to_tf_saved_model | Converts Keras HDF5 model to Tensorflow SavedModel format.
Args:
model_path: Keras model in HDF5 format.
converted_model_path: Keras model in Tensorflow SavedModel format.
Annotations:
author: Alexey Volkov <alexey.volkov@ark-kun.com> | from kfp.components import create_component_from_func, InputPath, OutputPath
# MASKED: keras_convert_hdf5_model_to_tf_saved_model function (lines 3-20)
if __name__ == '__main__':
keras_convert_hdf5_model_to_tf_saved_model_op = create_component_from_func(
keras_convert_hdf5_model_to_tf_saved_model,
... | def keras_convert_hdf5_model_to_tf_saved_model(
model_path: InputPath('KerasModelHdf5'),
converted_model_path: OutputPath('TensorflowSavedModel'),
):
'''Converts Keras HDF5 model to Tensorflow SavedModel format.
Args:
model_path: Keras model in HDF5 format.
converted_model_path: Keras m... | 3 | 20 | from kfp.components import create_component_from_func, InputPath, OutputPath
def keras_convert_hdf5_model_to_tf_saved_model(
model_path: InputPath('KerasModelHdf5'),
converted_model_path: OutputPath('TensorflowSavedModel'),
):
'''Converts Keras HDF5 model to Tensorflow SavedModel format.
Args:
... |
filter_with_CNNPatientUI | Check the list, only retain the relevant records with matching PatientID are retained.
:param dataset: CNBPIDs & record ID correspondence list.
:param CNNPatientUI:
:return: | import sys
from query_common import filter_records, ProjectMixins
from redcap import Project # note this is from PyCap.redcap
from typing import List
"""
This class of functions are responsible of retrieving relevant data structures from the CNFUN tables
"""
class CNFUN_project(ProjectMixins):
"""
One baby ... | def filter_with_CNNPatientUI(self, CNNPatientUI: str or List[str]):
"""
Check the list, only retain the relevant records with matching PatientID are retained.
:param dataset: CNBPIDs & record ID correspondence list.
:param CNNPatientUI:
:return:
"""
list_filte... | 39 | 56 | import sys
from query_common import filter_records, ProjectMixins
from redcap import Project # note this is from PyCap.redcap
from typing import List
"""
This class of functions are responsible of retrieving relevant data structures from the CNFUN tables
"""
class CNFUN_project(ProjectMixins):
"""
One baby ... |
_calculate_reciprocal_rank | Calculate the reciprocal rank for a given hypothesis and reference
Params:
hypothesis_ids: Iterator of hypothesis ids (as numpy array) ordered by its relevance
reference_id: Reference id (as a integer) of the correct id of response
Returns:
reciprocal rank | # Import dependencies
# Math/Torch
import numpy as np
import torch.nn as nn
# Typing
from typing import List
# Instantiate class
class MRR(nn.Module):
"""Compute MRR metric (Mean reciprocal rank)"""
def __init__(self, max_rank = 10):
super(MRR, self).__init__()
# Set max mrr rank
se... | def _calculate_reciprocal_rank(self, hypothesis_ids: np.ndarray, reference_id: int) -> float:
"""Calculate the reciprocal rank for a given hypothesis and reference
Params:
hypothesis_ids: Iterator of hypothesis ids (as numpy array) ordered by its relevance
... | 20 | 47 | # Import dependencies
# Math/Torch
import numpy as np
import torch.nn as nn
# Typing
from typing import List
# Instantiate class
class MRR(nn.Module):
"""Compute MRR metric (Mean reciprocal rank)"""
def __init__(self, max_rank = 10):
super(MRR, self).__init__()
# Set max mrr rank
se... |
prepare_for_launch | Load config, figure out working directory, create runner.
- when args.config_file is empty, returned cfg will be the default one
- returned output_dir will always be non empty, args.output_dir has higher
priority than cfg.OUTPUT_DIR. | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import argparse
import logging
import os
import time
import detectron2.utils.comm as comm
import torch
from d2go.config import (
CfgNode as CN,
auto_scale_world_size,
reroute_config_path,
temp_defrost,
)
fro... | def prepare_for_launch(args):
"""
Load config, figure out working directory, create runner.
- when args.config_file is empty, returned cfg will be the default one
- returned output_dir will always be non empty, args.output_dir has higher
priority than cfg.OUTPUT_DIR.
"""
prin... | 157 | 179 | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import argparse
import logging
import os
import time
import detectron2.utils.comm as comm
import torch
from d2go.config import (
CfgNode as CN,
auto_scale_world_size,
reroute_config_path,
temp_defrost,
)
fro... |
__init__ | Creates a new window for user to input
which regions to add to scene.
Arguments:
----------
main_window: reference to the App's main window
palette: main_window's palette, used to style widgets | from qtpy.QtWidgets import QDialog, QLineEdit, QPushButton, QLabel, QVBoxLayout
from brainrender_gui.style import style, update_css
class AddRegionsWindow(QDialog):
left = 250
top = 250
width = 400
height = 300
label_msg = (
"Write the acronyms of brainregions "
+ "you wish to ad... | def __init__(self, main_window, palette):
"""
Creates a new window for user to input
which regions to add to scene.
Arguments:
----------
main_window: reference to the App's main window
palette: main_window's palette, used to style wi... | 16 | 31 | from qtpy.QtWidgets import QDialog, QLineEdit, QPushButton, QLabel, QVBoxLayout
from brainrender_gui.style import style, update_css
class AddRegionsWindow(QDialog):
left = 250
top = 250
width = 400
height = 300
label_msg = (
"Write the acronyms of brainregions "
+ "you wish to ad... |
binary_image_to_lut_indices | Convert a binary image to an index image that can be used with a lookup table
to perform morphological operations. Non-zero elements in the image are interpreted
as 1, zero elements as 0
:param x: a 2D NumPy array.
:return: a 2D NumPy array, same shape as x | import numpy as np
# Thinning morphological operation applied using lookup tables.
# We convert the 3x3 neighbourhood surrounding a pixel to an index
# used to lookup the output in a lookup table.
# Bit masks for each neighbour
# 1 2 4
# 8 16 32
# 64 128 256
NEIGH_MASK_EAST = 32
NEIGH_MASK_NORTH_EAST = 4
N... | def binary_image_to_lut_indices(x):
"""
Convert a binary image to an index image that can be used with a lookup table
to perform morphological operations. Non-zero elements in the image are interpreted
as 1, zero elements as 0
:param x: a 2D NumPy array.
:return: a 2D NumPy array, same shape as... | 33 | 63 | import numpy as np
# Thinning morphological operation applied using lookup tables.
# We convert the 3x3 neighbourhood surrounding a pixel to an index
# used to lookup the output in a lookup table.
# Bit masks for each neighbour
# 1 2 4
# 8 16 32
# 64 128 256
NEIGH_MASK_EAST = 32
NEIGH_MASK_NORTH_EAST = 4
N... |
play | # 1. Create a deck of 52 cards
# 2. Shuffle the deck
# 3. Ask the Player for their bet
# 4. Make sure that the Player's bet does not exceed their available chips
# 5. Deal two cards to the Dealer and two cards to the Player
# 6. Show only one of the Dealer's cards, the other remains hidden
# 7. Show both of the Player'... | import random
class Card:
def __init__(self, suit, rank):
self.suit = suit
self.rank = rank
def __str__(self):
return f"{self.suit} {self.rank}: {BlackJack.values[self.rank]}"
class Hand:
def __init__(self):
self.cards = [] # start with empty list
self.value = ... | def play(self):
"""
# 1. Create a deck of 52 cards
# 2. Shuffle the deck
# 3. Ask the Player for their bet
# 4. Make sure that the Player's bet does not exceed their available chips
# 5. Deal two cards to the Dealer and two cards to the Player
# 6. Show only o... | 190 | 253 | import random
class Card:
def __init__(self, suit, rank):
self.suit = suit
self.rank = rank
def __str__(self):
return f"{self.suit} {self.rank}: {BlackJack.values[self.rank]}"
class Hand:
def __init__(self):
self.cards = [] # start with empty list
self.value = ... |
__init__ | NetApp account resource
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] account_name: The name of the NetApp account
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ActiveDirectoryArgs']]]] active_directories: Active... | # 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 __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
account_name: Optional[pulumi.Input[str]] = None,
active_directories: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ActiveDirectoryArgs']]]]] ... | 17 | 72 | # 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... |
get | Get an existing Account resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:param str resource_name: The unique name of the resulting resource.
:param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts: Options for... | # 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... | @staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None) -> 'Account':
"""
Get an existing Account resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:... | 74 | 96 | # 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... |
make_layer | Stack InvertedResidual blocks to build a layer for MobileNetV2.
Args:
out_channels (int): out_channels of block.
num_blocks (int): number of blocks.
stride (int): stride of the first block. Default: 1
expand_ratio (int): Expand the number of channels of the
hidden layer in InvertedResidual by t... | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
import torch.utils.checkpoint as cp
from mmcv.cnn import ConvModule
from mmcv.runner import BaseModule
from torch.nn.modules.batchnorm import _BatchNorm
from mmcls.models.utils import make_divisible
from ..builder import BACKBONES
from .base_backbon... | def make_layer(self, out_channels, num_blocks, stride, expand_ratio):
"""Stack InvertedResidual blocks to build a layer for MobileNetV2.
Args:
out_channels (int): out_channels of block.
num_blocks (int): number of blocks.
stride (int): stride of the first block. ... | 214 | 240 | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
import torch.utils.checkpoint as cp
from mmcv.cnn import ConvModule
from mmcv.runner import BaseModule
from torch.nn.modules.batchnorm import _BatchNorm
from mmcls.models.utils import make_divisible
from ..builder import BACKBONES
from .base_backbon... |
dlrn_http_factory | Create a DlrnData instance based on a host.
:param host: A host name string to build instances
:param config_file: A dlrn config file(s) to use in addition to
the default.
:param link_name: A dlrn symlink to use. This overrides the config files
link parameter.
:param logger: An at... | #! /usr/bin/env python
"""Functions for working with the DLRN API"""
import csv
import os.path
import requests
from toolchest import yaml
from atkinson.config.manager import ConfigManager
from atkinson.logging.logger import getLogger
def _raw_fetch(url, logger):
"""
Fetch remote data and return the text ou... | def dlrn_http_factory(host, config_file=None, link_name=None,
logger=getLogger()):
"""
Create a DlrnData instance based on a host.
:param host: A host name string to build instances
:param config_file: A dlrn config file(s) to use in addition to
the default... | 49 | 87 | #! /usr/bin/env python
"""Functions for working with the DLRN API"""
import csv
import os.path
import requests
from toolchest import yaml
from atkinson.config.manager import ConfigManager
from atkinson.logging.logger import getLogger
def _raw_fetch(url, logger):
"""
Fetch remote data and return the text ou... |
to_shapefile | Export stress period boundary condition (MfList) data for a specified
stress period
Parameters
----------
filename : str
Shapefile name to write
kper : int
MODFLOW zero-based stress period number to return. (default is None)
Returns
----------
None
See Also
--------
Notes
-----
Examples
--------
>>> import... | """
util_list module. Contains the mflist class.
This classes encapsulates modflow-style list inputs away
from the individual packages. The end-user should not need to
instantiate this class directly.
some more info
"""
from __future__ import division, print_function
import os
import warnings
import numpy a... | def to_shapefile(self, filename, kper=None):
"""
Export stress period boundary condition (MfList) data for a specified
stress period
Parameters
----------
filename : str
Shapefile name to write
kper : int
MODFLOW zero-based stress peri... | 1,010 | 1,062 | """
util_list module. Contains the mflist class.
This classes encapsulates modflow-style list inputs away
from the individual packages. The end-user should not need to
instantiate this class directly.
some more info
"""
from __future__ import division, print_function
import os
import warnings
import numpy a... |
get_precision | Compute data precision matrix with the generative model.
Equals the inverse of the covariance but computed with
the matrix inversion lemma for efficiency.
Returns
-------
precision : array, shape=(n_features, n_features)
Estimated precision of data. | """Principal Component Analysis Base Classes"""
# Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Olivier Grisel <olivier.grisel@ensta.org>
# Mathieu Blondel <mathieu@mblondel.org>
# Denis A. Engemann <denis-alexander.engemann@inria.fr>
# Kyle Kastner <kastnerkyle@gmail.com>
... | def get_precision(self):
"""Compute data precision matrix with the generative model.
Equals the inverse of the covariance but computed with
the matrix inversion lemma for efficiency.
Returns
-------
precision : array, shape=(n_features, n_features)
Estim... | 49 | 79 | """Principal Component Analysis Base Classes"""
# Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Olivier Grisel <olivier.grisel@ensta.org>
# Mathieu Blondel <mathieu@mblondel.org>
# Denis A. Engemann <denis-alexander.engemann@inria.fr>
# Kyle Kastner <kastnerkyle@gmail.com>
... |
_reverse_seq | Reverse a list of Tensors up to specified lengths.
Args:
input_seq: Sequence of seq_len tensors of dimension (batch_size, n_features)
or nested tuples of tensors.
lengths: A `Tensor` of dimension batch_size, containing lengths for each
sequence in the batch. If "None" is specified, simp... | # Copyright 2015 The TensorFlow Authors. 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 applica... | def _reverse_seq(input_seq, lengths):
"""Reverse a list of Tensors up to specified lengths.
Args:
input_seq: Sequence of seq_len tensors of dimension (batch_size, n_features)
or nested tuples of tensors.
lengths: A `Tensor` of dimension batch_size, containing lengths for each
... | 209 | 252 | # Copyright 2015 The TensorFlow Authors. 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 applica... |
_get_ports | Determine the camera and output ports for given capture options.
See :ref:`camera_hardware` for more information on picamera's usage of
camera, splitter, and encoder ports. The general idea here is that the
capture (still) port operates on its own, while the video port is
always connected to a splitter component, so r... | # vim: set et sw=4 sts=4 fileencoding=utf-8:
#
# Python camera library for the Rasperry-Pi camera module
# Copyright (c) 2013-2017 Dave Jones <dave@waveform.org.uk>
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# ... | def _get_ports(self, from_video_port, splitter_port):
"""
Determine the camera and output ports for given capture options.
See :ref:`camera_hardware` for more information on picamera's usage of
camera, splitter, and encoder ports. The general idea here is that the
capture (s... | 549 | 573 | # vim: set et sw=4 sts=4 fileencoding=utf-8:
#
# Python camera library for the Rasperry-Pi camera module
# Copyright (c) 2013-2017 Dave Jones <dave@waveform.org.uk>
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# ... |
close | Finalizes the state of the camera.
After successfully constructing a :class:`PiCamera` object, you should
ensure you call the :meth:`close` method once you are finished with the
camera (e.g. in the ``finally`` section of a ``try..finally`` block).
This method stops all recording and preview activities and releases all... | # vim: set et sw=4 sts=4 fileencoding=utf-8:
#
# Python camera library for the Rasperry-Pi camera module
# Copyright (c) 2013-2017 Dave Jones <dave@waveform.org.uk>
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# ... | def close(self):
"""
Finalizes the state of the camera.
After successfully constructing a :class:`PiCamera` object, you should
ensure you call the :meth:`close` method once you are finished with the
camera (e.g. in the ``finally`` section of a ``try..finally`` block).
... | 725 | 752 | # vim: set et sw=4 sts=4 fileencoding=utf-8:
#
# Python camera library for the Rasperry-Pi camera module
# Copyright (c) 2013-2017 Dave Jones <dave@waveform.org.uk>
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# ... |
stop_preview | Hides the preview overlay.
If :meth:`start_preview` has previously been called, this method shuts
down the preview display which generally results in the underlying
display becoming visible again. If a preview is not currently running,
no exception is raised - the method will simply do nothing. | # vim: set et sw=4 sts=4 fileencoding=utf-8:
#
# Python camera library for the Rasperry-Pi camera module
# Copyright (c) 2013-2017 Dave Jones <dave@waveform.org.uk>
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# ... | def stop_preview(self):
"""
Hides the preview overlay.
If :meth:`start_preview` has previously been called, this method shuts
down the preview display which generally results in the underlying
display becoming visible again. If a preview is not currently running,
no ... | 804 | 816 | # vim: set et sw=4 sts=4 fileencoding=utf-8:
#
# Python camera library for the Rasperry-Pi camera module
# Copyright (c) 2013-2017 Dave Jones <dave@waveform.org.uk>
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# ... |
_disable_camera | An internal method for disabling the camera, e.g. for re-configuration.
This disables the splitter and preview connections (if they exist). | # vim: set et sw=4 sts=4 fileencoding=utf-8:
#
# Python camera library for the Rasperry-Pi camera module
# Copyright (c) 2013-2017 Dave Jones <dave@waveform.org.uk>
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# ... | def _disable_camera(self):
"""
An internal method for disabling the camera, e.g. for re-configuration.
This disables the splitter and preview connections (if they exist).
"""
self._splitter.connection.disable()
self._preview.renderer.connection.disable()
self.... | 1,961 | 1,968 | # vim: set et sw=4 sts=4 fileencoding=utf-8:
#
# Python camera library for the Rasperry-Pi camera module
# Copyright (c) 2013-2017 Dave Jones <dave@waveform.org.uk>
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# ... |
_configure_camera | An internal method for setting a new camera mode, framerate,
resolution, and/or clock_mode.
This method is used by the setters of the :attr:`resolution`,
:attr:`framerate`, and :attr:`sensor_mode` properties. It assumes the
camera is currently disabled. The *old_mode* and *new_mode* arguments
are required to ensure co... | # vim: set et sw=4 sts=4 fileencoding=utf-8:
#
# Python camera library for the Rasperry-Pi camera module
# Copyright (c) 2013-2017 Dave Jones <dave@waveform.org.uk>
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# ... | def _configure_camera(
self, sensor_mode, framerate, resolution, clock_mode,
old_sensor_mode=0):
"""
An internal method for setting a new camera mode, framerate,
resolution, and/or clock_mode.
This method is used by the setters of the :attr:`resolution`,
... | 2,005 | 2,091 | # vim: set et sw=4 sts=4 fileencoding=utf-8:
#
# Python camera library for the Rasperry-Pi camera module
# Copyright (c) 2013-2017 Dave Jones <dave@waveform.org.uk>
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# ... |
all_valid_variations | Returns all leet variations of a triplet which result in a
Base32 only charset words on base64 encoding
Args:
word: An english triplet
Returns:
list: of all valid variations | """inter-base steganography
producing base32 and base64 decodable strings"""
from base64 import b64encode, b64decode
import string
from itertools import product
from argparse import ArgumentParser
CHARSET = string.printable.encode()
B32_CHARSET = (string.ascii_uppercase + '234567').encode()
B64_CHARSET = (
string.... | def all_valid_variations(word: str) -> list:
"""
Returns all leet variations of a triplet which result in a
Base32 only charset words on base64 encoding
Args:
word: An english triplet
Returns:
list: of all valid variations
"""
result = []
for variation in variation_gen(w... | 85 | 100 | """inter-base steganography
producing base32 and base64 decodable strings"""
from base64 import b64encode, b64decode
import string
from itertools import product
from argparse import ArgumentParser
CHARSET = string.printable.encode()
B32_CHARSET = (string.ascii_uppercase + '234567').encode()
B64_CHARSET = (
string.... |
transform_boolean_operand_to_numeric | Transform boolean operand to numeric.
If the `operand` is:
- a boolean IndexOpsMixin, transform the `operand` to the `spark_type`.
- a boolean literal, transform to the int value.
Otherwise, return the operand as it is. | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | def transform_boolean_operand_to_numeric(
operand: Any, *, spark_type: Optional[DataType] = None
) -> Any:
"""Transform boolean operand to numeric.
If the `operand` is:
- a boolean IndexOpsMixin, transform the `operand` to the `spark_type`.
- a boolean literal, transform to the int value.
... | 83 | 108 | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... |
eventFilter | Event filter implementation.
For information, see the QT docs:
http://doc.qt.io/qt-4.8/qobject.html#eventFilter
This will emit the resized signal (in this class)
whenever the linked up object is being resized.
:param obj: The object that is being watched for events
:param event: Event object that the object has emitt... | # Copyright (c) 2015 Shotgun Software Inc.
#
# CONFIDENTIAL AND PROPRIETARY
#
# This work is provided "AS IS" and subject to the Shotgun Pipeline Toolkit
# Source Code License included in this distribution package. See LICENSE.
# By accessing, using, copying or modifying this work you indicate your
# agreement to the S... | def eventFilter(self, obj, event):
"""
Event filter implementation.
For information, see the QT docs:
http://doc.qt.io/qt-4.8/qobject.html#eventFilter
This will emit the resized signal (in this class)
whenever the linked up object is being resized.
:param ob... | 302 | 321 | # Copyright (c) 2015 Shotgun Software Inc.
#
# CONFIDENTIAL AND PROPRIETARY
#
# This work is provided "AS IS" and subject to the Shotgun Pipeline Toolkit
# Source Code License included in this distribution package. See LICENSE.
# By accessing, using, copying or modifying this work you indicate your
# agreement to the S... |
broadcast_trick | Provide a decorator to wrap common numpy function with a broadcast trick.
Dask arrays are currently immutable; thus when we know an array is uniform,
we can replace the actual data by a single value and have all elements point
to it, thus reducing the size.
>>> x = np.broadcast_to(1, (100,100,100))
>>> x.base.nbytes
... | from functools import partial
from itertools import product
import numpy as np
from tlz import curry
from ..base import tokenize
from ..utils import funcname
from .blockwise import BlockwiseCreateArray
from .core import Array, normalize_chunks
from .utils import (
meta_from_array,
empty_like_safe,
full_l... | def broadcast_trick(func):
"""
Provide a decorator to wrap common numpy function with a broadcast trick.
Dask arrays are currently immutable; thus when we know an array is uniform,
we can replace the actual data by a single value and have all elements point
to it, thus reducing the size.
>>> x... | 154 | 181 | from functools import partial
from itertools import product
import numpy as np
from tlz import curry
from ..base import tokenize
from ..utils import funcname
from .blockwise import BlockwiseCreateArray
from .core import Array, normalize_chunks
from .utils import (
meta_from_array,
empty_like_safe,
full_l... |
__init__ | Keyword args:
iqn (str): The iSCSI Qualified Name (or `null` if target is not iSCSI).
nqn (str): NVMe Qualified Name (or `null` if target is not NVMeoF).
portal (str): IP and port number (or `null` if target is not iSCSI).
wwn (str): Fibre Channel World Wide Name (or `null` if target is not Fibre Channe... | # coding: utf-8
"""
FlashArray REST API
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: 2.11
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re
import six
import typing
from ... | def __init__(
self,
iqn=None, # type: str
nqn=None, # type: str
portal=None, # type: str
wwn=None, # type: str
):
"""
Keyword args:
iqn (str): The iSCSI Qualified Name (or `null` if target is not iSCSI).
nqn (str): NVMe Qualifie... | 49 | 70 | # coding: utf-8
"""
FlashArray REST API
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: 2.11
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re
import six
import typing
from ... |
get_primaries | prmary color の座標を求める
Parameters
----------
name : str
a name of the color space.
Returns
-------
array_like
prmaries. [[rx, ry], [gx, gy], [bx, by], [rx, ry]] | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... | def get_primaries(name='ITU-R BT.2020'):
"""
prmary color の座標を求める
Parameters
----------
name : str
a name of the color space.
Returns
-------
array_like
prmaries. [[rx, ry], [gx, gy], [bx, by], [rx, ry]]
"""
primaries = RGB_COLOURSPACES[name].primaries
pri... | 123 | 144 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... |
get_secondaries | secondary color の座標を求める
Parameters
----------
name : str
a name of the color space.
Returns
-------
array_like
secondaries. the order is magenta, yellow, cyan. | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... | def get_secondaries(name='ITU-R BT.2020'):
"""
secondary color の座標を求める
Parameters
----------
name : str
a name of the color space.
Returns
-------
array_like
secondaries. the order is magenta, yellow, cyan.
"""
secondary_rgb = np.array([[1.0, 0.0, 1.0],
... | 211 | 239 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... |
dot_pattern | dot pattern 作る。
Parameters
----------
dot_size : integer
dot size.
repeat : integer
The number of high-low pairs.
color : array_like
color value.
Returns
-------
array_like
dot pattern image. | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... | def dot_pattern(dot_size=4, repeat=4, color=np.array([1.0, 1.0, 1.0])):
"""
dot pattern 作る。
Parameters
----------
dot_size : integer
dot size.
repeat : integer
The number of high-low pairs.
color : array_like
color value.
Returns
-------
array_like
... | 770 | 809 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... |
complex_dot_pattern | dot pattern 作る。
Parameters
----------
kind_num : integer
作成するドットサイズの種類。
例えば、kind_num=3 ならば、1dot, 2dot, 4dot のパターンを作成。
whole_repeat : integer
異なる複数種類のドットパターンの組数。
例えば、kind_num=3, whole_repeat=2 ならば、
1dot, 2dot, 4dot のパターンを水平・垂直に2組作る。
fg_color : array_like
foreground color value.
bg_color : array_... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... | def complex_dot_pattern(kind_num=3, whole_repeat=2,
fg_color=np.array([1.0, 1.0, 1.0]),
bg_color=np.array([0.15, 0.15, 0.15])):
"""
dot pattern 作る。
Parameters
----------
kind_num : integer
作成するドットサイズの種類。
例えば、kind_num=3 ならば、1dot, 2dot, ... | 812 | 859 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... |
make_ycbcr_checker | YCbCr係数誤りを確認するテストパターンを作る。
正直かなり汚い組み方です。雑に作ったパターンを悪魔合体させています。
Parameters
----------
height : numeric.
height of the pattern image.
v_tile_num : numeric
number of the tile in the vertical direction.
Note
----
横長のパターンになる。以下の式が成立する。
```
h_tile_num = v_tile_num * 2
width = height * 2
```
Returns
-------
array_li... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... | def make_ycbcr_checker(height=480, v_tile_num=4):
"""
YCbCr係数誤りを確認するテストパターンを作る。
正直かなり汚い組み方です。雑に作ったパターンを悪魔合体させています。
Parameters
----------
height : numeric.
height of the pattern image.
v_tile_num : numeric
number of the tile in the vertical direction.
Note
----
横... | 946 | 988 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... |
get_log10_x_scale | Log10スケールのx軸データを作る。
Examples
--------
>>> get_log2_x_scale(
... sample_num=8, ref_val=1.0, min_exposure=-1, max_exposure=6)
array([ 1.0000e-01 1.0000e+00 1.0000e+01 1.0000e+02
1.0000e+03 1.0000e+04 1.0000e+05 1.0000e+06]) | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... | def get_log10_x_scale(
sample_num=8, ref_val=1.0, min_exposure=-1, max_exposure=6):
"""
Log10スケールのx軸データを作る。
Examples
--------
>>> get_log2_x_scale(
... sample_num=8, ref_val=1.0, min_exposure=-1, max_exposure=6)
array([ 1.0000e-01 1.0000e+00 1.0000e+01 1.0000e+02
... | 1,070 | 1,086 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... |
get_log2_x_scale | Log2スケールのx軸データを作る。
Examples
--------
>>> get_log2_x_scale(sample_num=10, min_exposure=-4.0, max_exposure=4.0)
array([[ 0.0625 0.11573434 0.214311 0.39685026 0.73486725
1.36079 2.5198421 4.66611616 8.64047791 16. ]]) | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... | def get_log2_x_scale(
sample_num=32, ref_val=1.0, min_exposure=-6.5, max_exposure=6.5):
"""
Log2スケールのx軸データを作る。
Examples
--------
>>> get_log2_x_scale(sample_num=10, min_exposure=-4.0, max_exposure=4.0)
array([[ 0.0625 0.11573434 0.214311 0.39685026 0.73486725
... | 1,089 | 1,104 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... |
shaper_func_log2_to_linear | ACESutil.Log2_to_Lin_param.ctl を参考に作成。
https://github.com/ampas/aces-dev/blob/master/transforms/ctl/utilities/ACESutil.Log2_to_Lin_param.ctl
Log2空間の補足は shaper_func_linear_to_log2() の説明を参照
Examples
--------
>>> x = np.array([0.0, 1.0])
>>> shaper_func_log2_to_linear(
... x, mid_gray=0.18, min_exposure=-6.5, max_ex... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... | def shaper_func_log2_to_linear(
x, mid_gray=0.18, min_exposure=-6.5, max_exposure=6.5):
"""
ACESutil.Log2_to_Lin_param.ctl を参考に作成。
https://github.com/ampas/aces-dev/blob/master/transforms/ctl/utilities/ACESutil.Log2_to_Lin_param.ctl
Log2空間の補足は shaper_func_linear_to_log2() の説明を参照
Examples
... | 1,150 | 1,170 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... |
draw_straight_line | 直線を引く。OpenCV だと 8bit しか対応してないっぽいので自作。
Parameters
----------
img : array_like
image data.
pt1 : list(pos_h, pos_v)
start point.
pt2 : list(pos_h, pos_v)
end point.
color : array_like
color
thickness : int
thickness.
Returns
-------
array_like
image data with line.
Notes
-----
thickness のパラメータは... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... | def draw_straight_line(img, pt1, pt2, color, thickness):
"""
直線を引く。OpenCV だと 8bit しか対応してないっぽいので自作。
Parameters
----------
img : array_like
image data.
pt1 : list(pos_h, pos_v)
start point.
pt2 : list(pos_h, pos_v)
end point.
color : array_like
color
th... | 1,173 | 1,224 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... |
draw_outline | img に対して外枠線を引く
Parameters
----------
img : array_like
image data.
fg_color : array_like
color
outline_width : int
thickness.
Returns
-------
array_like
image data with line.
Examples
--------
>>> img = np.zeros((1080, 1920, 3))
>>> color = (940, 940, 940)
>>> thickness = 2
>>> draw_outline(img, color... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... | def draw_outline(img, fg_color, outline_width):
"""
img に対して外枠線を引く
Parameters
----------
img : array_like
image data.
fg_color : array_like
color
outline_width : int
thickness.
Returns
-------
array_like
image data with line.
Examples
--... | 1,227 | 1,271 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... |
calc_rad_patch_idx2 | 以下のような、中心がGray、周りは CIELAB 空間の a*b*平面のカラーパッチの
RGB値のリストを得る。
https://user-images.githubusercontent.com/3609012/75444470-d3bc5600-59a6-11ea-962b-c315648782a9.png
得られたデータは並べ替えが済んでいないため、calc_rad_patch_idx2() で
得られる変換テーブルを使った変換が必要。
本関数はまさにその変換を行う。 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... | def calc_rad_patch_idx2(outmost_num=5, current_num=3):
"""
以下のような、中心がGray、周りは CIELAB 空間の a*b*平面のカラーパッチの
RGB値のリストを得る。
https://user-images.githubusercontent.com/3609012/75444470-d3bc5600-59a6-11ea-962b-c315648782a9.png
得られたデータは並べ替えが済んでいないため、calc_rad_patch_idx2() で
得られる変換テーブルを使った変換が必要。
本関数はまさに... | 1,299 | 1,334 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... |
_calc_rgb_from_same_lstar_radial_data | 以下のような、中心がGray、周りは CIELAB 空間の a*b*平面のカラーパッチの
RGB値のリストを得る。
https://user-images.githubusercontent.com/3609012/75444470-d3bc5600-59a6-11ea-962b-c315648782a9.png
得られたデータは並べ替えが済んでいないため、calc_rad_patch_idx2() で
得られる変換テーブルを使った変換が必要。 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... | def _calc_rgb_from_same_lstar_radial_data(
lstar, temp_chroma, current_num, color_space):
"""
以下のような、中心がGray、周りは CIELAB 空間の a*b*平面のカラーパッチの
RGB値のリストを得る。
https://user-images.githubusercontent.com/3609012/75444470-d3bc5600-59a6-11ea-962b-c315648782a9.png
得られたデータは並べ替えが済んでいないため、calc_rad_patch_id... | 1,337 | 1,357 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... |
calc_same_lstar_radial_color_patch_data | 以下のような、中心がGray、周りは CIELAB 空間の a*b*平面のカラーパッチの
RGB値のリストを得る。
https://user-images.githubusercontent.com/3609012/75444470-d3bc5600-59a6-11ea-962b-c315648782a9.png
得られた RGB値のリストは最初のデータが画像左上の緑データ、
最後のデータが画像右下の紫データとなるよう既に**並べ替え**が行われている。
よってパッチをプロットする場合はRGB値リストの先頭から順にデータを取り出し、
右下に向かって並べていけば良い。 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... | def calc_same_lstar_radial_color_patch_data(
lstar=58, chroma=32.5, outmost_num=9,
color_space=BT709_COLOURSPACE,
transfer_function=tf.GAMMA24):
"""
以下のような、中心がGray、周りは CIELAB 空間の a*b*平面のカラーパッチの
RGB値のリストを得る。
https://user-images.githubusercontent.com/3609012/75444470-d3bc5600-59a6-... | 1,360 | 1,392 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... |
get_accelerated_x_1x | 単調増加ではなく、加速度が 0→1→0 となるような x を作る
Parameters
----------
sample_num : int
the number of the sample.
Returns
-------
array_like
accelerated value list
Examples
--------
>>> x0 = np.linspace(0, 1, 8)
>>> x1 = get_accelerated_x_1x(8)
>>> print(x0)
>>> [ 0. 0.142 0.285 0.428 0.571 0.714 0.857 1. ]
>>> print... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... | def get_accelerated_x_1x(sample_num=64):
"""
単調増加ではなく、加速度が 0→1→0 となるような x を作る
Parameters
----------
sample_num : int
the number of the sample.
Returns
-------
array_like
accelerated value list
Examples
--------
>>> x0 = np.linspace(0, 1, 8)
>>> x1 = get... | 1,416 | 1,442 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... |
get_accelerated_x_2x | 単調増加ではなく、加速度が 0→1→0 となるような x を作る。
加速度が `get_accelerated_x_1x` の2倍！！
Parameters
----------
sample_num : int
the number of the sample.
Returns
-------
array_like
accelerated value list
Examples
--------
>>> x0 = np.linspace(0, 1, 8)
>>> x2 = get_accelerated_x_2x(8)
>>> print(x0)
>>> [ 0. 0.142 0.285 0.428 ... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... | def get_accelerated_x_2x(sample_num=64):
"""
単調増加ではなく、加速度が 0→1→0 となるような x を作る。
加速度が `get_accelerated_x_1x` の2倍！！
Parameters
----------
sample_num : int
the number of the sample.
Returns
-------
array_like
accelerated value list
Examples
--------
>>> x0 ... | 1,445 | 1,473 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... |
generate_color_checker_rgb_value | Generate the 24 RGB values of the color checker.
Parameters
----------
color_space : color space
color space object in `colour` module.
target_white : array_like
the xy values of the white point of target color space.
Returns
-------
array_like
24 RGB values. This is linear. OETF is not applied.
Example... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... | def generate_color_checker_rgb_value(
color_space=BT709_COLOURSPACE, target_white=D65_WHITE):
"""
Generate the 24 RGB values of the color checker.
Parameters
----------
color_space : color space
color space object in `colour` module.
target_white : array_like
the xy val... | 1,523 | 1,590 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... |
calc_st_pos_for_centering | Calculate start postion for centering.
Parameters
----------
bg_size : touple(int)
(width, height) of the background image.
fg_size : touple(int)
(width, height) of the foreground image.
Returns
-------
touple (int)
(st_pos_h, st_pos_v)
Examples
--------
>>> calc_st_pos_for_centering(bg_size=(1920, 1080... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... | def calc_st_pos_for_centering(bg_size, fg_size):
"""
Calculate start postion for centering.
Parameters
----------
bg_size : touple(int)
(width, height) of the background image.
fg_size : touple(int)
(width, height) of the foreground image.
Returns
-------
touple (i... | 1,625 | 1,656 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
評価用のテストパターン作成ツール集
"""
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from colour.colorimetry import CMFS, ILLUMINANTS
from colour.models import XYZ_to_xy, xy_to_XYZ, XYZ_to_RGB, RGB_to_XYZ
from colour.models import xy_to_xyY, xyY_to_XYZ, Lab... |
moving_average | Moving average over one-dimensional array.
Parameters
----------
a
One-dimensional array.
n
Number of entries to average over. n=2 means averaging over the currrent
the previous entry.
Returns
-------
An array view storing the moving average. | """Utility functions and classes
"""
import sys
import inspect
import warnings
import importlib.util
from enum import Enum
from pathlib import Path
from weakref import WeakSet
from collections import namedtuple
from functools import partial, wraps
from types import ModuleType, MethodType
from typing import Union, Calla... | def moving_average(a: np.ndarray, n: int):
"""Moving average over one-dimensional array.
Parameters
----------
a
One-dimensional array.
n
Number of entries to average over. n=2 means averaging over the currrent
the previous entry.
Returns
-------
An array view s... | 413 | 430 | """Utility functions and classes
"""
import sys
import inspect
import warnings
import importlib.util
from enum import Enum
from pathlib import Path
from weakref import WeakSet
from collections import namedtuple
from functools import partial, wraps
from types import ModuleType, MethodType
from typing import Union, Calla... |
warn_with_traceback | Get full tracebacks when warning is raised by setting
warnings.showwarning = warn_with_traceback
See also
--------
http://stackoverflow.com/questions/22373927/get-traceback-of-warnings | """Utility functions and classes
"""
import sys
import inspect
import warnings
import importlib.util
from enum import Enum
from pathlib import Path
from weakref import WeakSet
from collections import namedtuple
from functools import partial, wraps
from types import ModuleType, MethodType
from typing import Union, Calla... | def warn_with_traceback(message, category, filename, lineno, file=None, line=None):
"""Get full tracebacks when warning is raised by setting
warnings.showwarning = warn_with_traceback
See also
--------
http://stackoverflow.com/questions/22373927/get-traceback-of-warnings
"""
import traceba... | 545 | 558 | """Utility functions and classes
"""
import sys
import inspect
import warnings
import importlib.util
from enum import Enum
from pathlib import Path
from weakref import WeakSet
from collections import namedtuple
from functools import partial, wraps
from types import ModuleType, MethodType
from typing import Union, Calla... |
backup_models | Save the current best models.
Save CER model, the best loss model and the best WER model. This occurs
at a specified period.
Args:
i: no. of iterations. | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
'''
In this file, we define the classes that live inside 'worker 0', the worker
responsible for orchestration and aggregation. The main class is the
OptimizationServer, which sends clients to the other workers to process and
combines the resulting... | def backup_models(self, i):
'''Save the current best models.
Save CER model, the best loss model and the best WER model. This occurs
at a specified period.
Args:
i: no. of iterations.
'''
# Always save the latest model
self.worker_trainer.save(
... | 539 | 568 | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
'''
In this file, we define the classes that live inside 'worker 0', the worker
responsible for orchestration and aggregation. The main class is the
OptimizationServer, which sends clients to the other workers to process and
combines the resulting... |
approximate_predict | Predict the cluster label of new points. The returned labels
will be those of the original clustering found by ``clusterer``,
and therefore are not (necessarily) the cluster labels that would
be found by clustering the original data combined with
``points_to_predict``, hence the 'approximate' label.
If you simply wish... | # Support various prediction methods for predicting cluster membership
# of new or unseen points. There are several ways to interpret how
# to do this correctly, so we provide several methods for
# the different use cases that may arise.
import numpy as np
from sklearn.neighbors import KDTree, BallTree
from .dist_met... | def approximate_predict(clusterer, points_to_predict):
"""Predict the cluster label of new points. The returned labels
will be those of the original clustering found by ``clusterer``,
and therefore are not (necessarily) the cluster labels that would
be found by clustering the original data combined with... | 334 | 413 | # Support various prediction methods for predicting cluster membership
# of new or unseen points. There are several ways to interpret how
# to do this correctly, so we provide several methods for
# the different use cases that may arise.
import numpy as np
from sklearn.neighbors import KDTree, BallTree
from .dist_met... |
all_points_membership_vectors | Predict soft cluster membership vectors for all points in the
original dataset the clusterer was trained on. This function is more
efficient by making use of the fact that all points are already in the
condensed tree, and processing in bulk.
Parameters
----------
clusterer : HDBSCAN
A clustering object that has b... | # Support various prediction methods for predicting cluster membership
# of new or unseen points. There are several ways to interpret how
# to do this correctly, so we provide several methods for
# the different use cases that may arise.
import numpy as np
from sklearn.neighbors import KDTree, BallTree
from .dist_met... | def all_points_membership_vectors(clusterer):
"""Predict soft cluster membership vectors for all points in the
original dataset the clusterer was trained on. This function is more
efficient by making use of the fact that all points are already in the
condensed tree, and processing in bulk.
Paramete... | 500 | 553 | # Support various prediction methods for predicting cluster membership
# of new or unseen points. There are several ways to interpret how
# to do this correctly, so we provide several methods for
# the different use cases that may arise.
import numpy as np
from sklearn.neighbors import KDTree, BallTree
from .dist_met... |
normalize | Normalize text.
Args:
text (str): text to be normalized | import re
class Normalizer:
"""Normalizer return the text replaced with 'repl'.
If 'repl' is None, normalization is not applied to the pattern corresponding to 'repl'.
Args:
url_repl (str): replace all urls in text with this
tag_repl (str): replace all tags in text with this
emoji_... | def normalize(self, text: str) -> str:
"""Normalize text.
Args:
text (str): text to be normalized
"""
for normalize_fn, repl in self._normalize:
text = normalize_fn(text, repl)
return text | 25 | 34 | import re
class Normalizer:
"""Normalizer return the text replaced with 'repl'.
If 'repl' is None, normalization is not applied to the pattern corresponding to 'repl'.
Args:
url_repl (str): replace all urls in text with this
tag_repl (str): replace all tags in text with this
emoji_... |
upsert | Expects a file *object*, not a file path. This is important because this has to work for both
the management command and the web uploader; the web uploader will pass in in-memory file
with no path!
Header row is:
Title, Group, Task List, Created Date, Due Date, Completed, Created By, Assigned To, Note, Priority | import codecs
import csv
import datetime
import logging
from django.contrib.auth import get_user_model
from django.contrib.auth.models import Group
from todo.models import Task, TaskList
log = logging.getLogger(__name__)
class CSVImporter:
"""Core upsert functionality for CSV import, for re-use by `import_csv`... | def upsert(self, fileobj, as_string_obj=False):
"""Expects a file *object*, not a file path. This is important because this has to work for both
the management command and the web uploader; the web uploader will pass in in-memory file
with no path!
Header row is:
Title, Grou... | 26 | 102 | import codecs
import csv
import datetime
import logging
from django.contrib.auth import get_user_model
from django.contrib.auth.models import Group
from todo.models import Task, TaskList
log = logging.getLogger(__name__)
class CSVImporter:
"""Core upsert functionality for CSV import, for re-use by `import_csv`... |
install | Install automatic pretty printing in the Python REPL.
Args:
console (Console, optional): Console instance or ``None`` to use global console. Defaults to None.
overflow (Optional[OverflowMethod], optional): Overflow method. Defaults to "ignore".
crop (Optional[bool], optional): Enable cropping of long lines... | import builtins
import os
import sys
from array import array
from collections import Counter, defaultdict, deque
from dataclasses import dataclass, fields, is_dataclass
from itertools import islice
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
Iterable,
List,
Optional,
Set,
... | def install(
console: "Console" = None,
overflow: "OverflowMethod" = "ignore",
crop: bool = False,
indent_guides: bool = False,
max_length: int = None,
max_string: int = None,
expand_all: bool = False,
) -> None:
"""Install automatic pretty printing in the Python REPL.
Args:
... | 44 | 132 | import builtins
import os
import sys
from array import array
from collections import Counter, defaultdict, deque
from dataclasses import dataclass, fields, is_dataclass
from itertools import islice
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
Iterable,
List,
Optional,
Set,
... |
pretty_repr | Prettify repr string by expanding on to new lines to fit within a given width.
Args:
_object (Any): Object to repr.
max_width (int, optional): Desired maximum width of repr string. Defaults to 80.
indent_size (int, optional): Number of spaces to indent. Defaults to 4.
max_length (int, optional): Maximu... | import builtins
import os
import sys
from array import array
from collections import Counter, defaultdict, deque
from dataclasses import dataclass, fields, is_dataclass
from itertools import islice
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
Iterable,
List,
Optional,
Set,
... | def pretty_repr(
_object: Any,
*,
max_width: int = 80,
indent_size: int = 4,
max_length: int = None,
max_string: int = None,
expand_all: bool = False,
) -> str:
"""Prettify repr string by expanding on to new lines to fit within a given width.
Args:
_object (Any): Object to r... | 587 | 619 | import builtins
import os
import sys
from array import array
from collections import Counter, defaultdict, deque
from dataclasses import dataclass, fields, is_dataclass
from itertools import islice
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
Iterable,
List,
Optional,
Set,
... |
check_length | Check the length fits within a limit.
Args:
start_length (int): Starting length of the line (indent, prefix, suffix).
max_length (int): Maximum length.
Returns:
bool: True if the node can be rendered within max length, otherwise False. | import builtins
import os
import sys
from array import array
from collections import Counter, defaultdict, deque
from dataclasses import dataclass, fields, is_dataclass
from itertools import islice
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
Iterable,
List,
Optional,
Set,
... | def check_length(self, start_length: int, max_length: int) -> bool:
"""Check the length fits within a limit.
Args:
start_length (int): Starting length of the line (indent, prefix, suffix).
max_length (int): Maximum length.
Returns:
bool: True if the node... | 311 | 326 | import builtins
import os
import sys
from array import array
from collections import Counter, defaultdict, deque
from dataclasses import dataclass, fields, is_dataclass
from itertools import islice
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
Iterable,
List,
Optional,
Set,
... |
render | Render the node to a pretty repr.
Args:
max_width (int, optional): Maximum width of the repr. Defaults to 80.
indent_size (int, optional): Size of indents. Defaults to 4.
expand_all (bool, optional): Expand all levels. Defaults to False.
Returns:
str: A repr string of the original object. | import builtins
import os
import sys
from array import array
from collections import Counter, defaultdict, deque
from dataclasses import dataclass, fields, is_dataclass
from itertools import islice
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
Iterable,
List,
Optional,
Set,
... | def render(
self, max_width: int = 80, indent_size: int = 4, expand_all: bool = False
) -> str:
"""Render the node to a pretty repr.
Args:
max_width (int, optional): Maximum width of the repr. Defaults to 80.
indent_size (int, optional): Size of indents. Defaults... | 332 | 355 | import builtins
import os
import sys
from array import array
from collections import Counter, defaultdict, deque
from dataclasses import dataclass, fields, is_dataclass
from itertools import islice
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
Iterable,
List,
Optional,
Set,
... |
__init__ | Creates EntitySet
Args:
id (str) : Unique identifier to associate with this instance
entities (dict[str -> tuple(pd.DataFrame, str, str, dict[str -> Variable])]): dictionary of
entities. Entries take the format
{entity id -> (dataframe, id column, (time_index), (variable_types), (make_index))}... | import copy
import logging
from collections import defaultdict
import dask.dataframe as dd
import numpy as np
import pandas as pd
from pandas.api.types import is_dtype_equal, is_numeric_dtype
import featuretools.variable_types.variable as vtypes
from featuretools.entityset import deserialize, serialize
from featureto... | def __init__(self, id=None, entities=None, relationships=None):
"""Creates EntitySet
Args:
id (str) : Unique identifier to associate with this instance
entities (dict[str -> tuple(pd.DataFrame, str, str, dict[str -> Variable])]): dictionary of
... | 35 | 94 | import copy
import logging
from collections import defaultdict
import dask.dataframe as dd
import numpy as np
import pandas as pd
from pandas.api.types import is_dtype_equal, is_numeric_dtype
import featuretools.variable_types.variable as vtypes
from featuretools.entityset import deserialize, serialize
from featureto... |
add_relationship | Add a new relationship between entities in the entityset
Args:
relationship (Relationship) : Instance of new
relationship to be added. | import copy
import logging
from collections import defaultdict
import dask.dataframe as dd
import numpy as np
import pandas as pd
from pandas.api.types import is_dtype_equal, is_numeric_dtype
import featuretools.variable_types.variable as vtypes
from featuretools.entityset import deserialize, serialize
from featureto... | def add_relationship(self, relationship):
"""Add a new relationship between entities in the entityset
Args:
relationship (Relationship) : Instance of new
relationship to be added.
"""
if relationship in self.relationships:
logger.warning(
... | 230 | 277 | import copy
import logging
from collections import defaultdict
import dask.dataframe as dd
import numpy as np
import pandas as pd
from pandas.api.types import is_dtype_equal, is_numeric_dtype
import featuretools.variable_types.variable as vtypes
from featuretools.entityset import deserialize, serialize
from featureto... |
_forward_entity_paths | Generator which yields the ids of all entities connected through forward
relationships, and the path taken to each. An entity will be yielded
multiple times if there are multiple paths to it.
Implemented using depth first search. | import copy
import logging
from collections import defaultdict
import dask.dataframe as dd
import numpy as np
import pandas as pd
from pandas.api.types import is_dtype_equal, is_numeric_dtype
import featuretools.variable_types.variable as vtypes
from featuretools.entityset import deserialize, serialize
from featureto... | def _forward_entity_paths(self, start_entity_id, seen_entities=None):
"""
Generator which yields the ids of all entities connected through forward
relationships, and the path taken to each. An entity will be yielded
multiple times if there are multiple paths to it.
Implement... | 315 | 339 | import copy
import logging
from collections import defaultdict
import dask.dataframe as dd
import numpy as np
import pandas as pd
from pandas.api.types import is_dtype_equal, is_numeric_dtype
import featuretools.variable_types.variable as vtypes
from featuretools.entityset import deserialize, serialize
from featureto... |
iterator | If search has occurred and no ordering has occurred, decorate
each result with the number of search terms so that it can be
sorted by the number of occurrence of terms.
In the case of search fields that span model relationships, we
cannot accurately match occurrences without some very
complicated traversal code, which... | from __future__ import unicode_literals
from future.builtins import int, zip
from functools import reduce
from operator import ior, iand
from string import punctuation
from django.core.exceptions import ImproperlyConfigured
from django.db.models import Manager, Q, CharField, TextField
from django.db.models.loading im... | def iterator(self):
"""
If search has occurred and no ordering has occurred, decorate
each result with the number of search terms so that it can be
sorted by the number of occurrence of terms.
In the case of search fields that span model relationships, we
cannot accu... | 161 | 192 | from __future__ import unicode_literals
from future.builtins import int, zip
from functools import reduce
from operator import ior, iand
from string import punctuation
from django.core.exceptions import ImproperlyConfigured
from django.db.models import Manager, Q, CharField, TextField
from django.db.models.loading im... |
prep | Run all steps to prepare a release.
- Tag the commit.
- Build the sdist package.
- Generate the Markdown changelog to ``changelog.md``.
- Bump the version number to the next version. | #!/usr/bin/env python3
"""A utility script for automating the beets release process.
"""
import click
import os
import re
import subprocess
from contextlib import contextmanager
import datetime
BASE = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
CHANGELOG = os.path.join(BASE, 'docs', 'changelog.rst')
... | @release.command()
def prep():
"""Run all steps to prepare a release.
- Tag the commit.
- Build the sdist package.
- Generate the Markdown changelog to ``changelog.md``.
- Bump the version number to the next version.
"""
cur_version = get_version()
# Tag.
subprocess.check_call(['gi... | 267 | 295 | #!/usr/bin/env python3
"""A utility script for automating the beets release process.
"""
import click
import os
import re
import subprocess
from contextlib import contextmanager
import datetime
BASE = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
CHANGELOG = os.path.join(BASE, 'docs', 'changelog.rst')
... |
publish | Unleash a release unto the world.
- Push the tag to GitHub.
- Upload to PyPI. | #!/usr/bin/env python3
"""A utility script for automating the beets release process.
"""
import click
import os
import re
import subprocess
from contextlib import contextmanager
import datetime
BASE = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
CHANGELOG = os.path.join(BASE, 'docs', 'changelog.rst')
... | @release.command()
def publish():
"""Unleash a release unto the world.
- Push the tag to GitHub.
- Upload to PyPI.
"""
version = get_version(1)
# Push to GitHub.
with chdir(BASE):
subprocess.check_call(['git', 'push'])
subprocess.check_call(['git', 'push', '--tags'])
#... | 298 | 314 | #!/usr/bin/env python3
"""A utility script for automating the beets release process.
"""
import click
import os
import re
import subprocess
from contextlib import contextmanager
import datetime
BASE = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
CHANGELOG = os.path.join(BASE, 'docs', 'changelog.rst')
... |
getEtiqueta | Obtiene el nombre de la captura
Args:
linea (str): Linea donde se va a buscar la etiqueta
Returns:
str: Regresa el nombre de la etiqueta | import re
from Error import Error4,Error6,Error9
from DataBase import BaseDatos,BdRow
from .precompilada import precompilada
from typing import Pattern
# MASKED: getEtiqueta function (lines 7-23)
def calcularEtiqueta(sustraendo:str,minuendo:str)-> str:
"""Resta la diferencia entre dos PC en hexadecimal
sustr... | def getEtiqueta(linea:str)->str:
"""Obtiene el nombre de la captura
Args:
linea (str): Linea donde se va a buscar la etiqueta
Returns:
str: Regresa el nombre de la etiqueta
"""
# Buscamos el mnemonico
pattern='\s+([a-z]{1,5})\s+([a-z]{1,24})'
busqueda=re.search(patter... | 7 | 23 | import re
from Error import Error4,Error6,Error9
from DataBase import BaseDatos,BdRow
from .precompilada import precompilada
from typing import Pattern
def getEtiqueta(linea:str)->str:
"""Obtiene el nombre de la captura
Args:
linea (str): Linea donde se va a buscar la etiqueta
Returns:
st... |
calcularEtiqueta | Resta la diferencia entre dos PC en hexadecimal
sustraendo - minuendo
- Si
- Sustraendo - minuendo
- En caso de error regresa 'e10' operando muy grande
Args:
sustraendo (str): Ejemplo '0x7'
minuendo (str): Ejemplo '0x1'
Returns:
str: Ejemplo '0x06' | import re
from Error import Error4,Error6,Error9
from DataBase import BaseDatos,BdRow
from .precompilada import precompilada
from typing import Pattern
def getEtiqueta(linea:str)->str:
"""Obtiene el nombre de la captura
Args:
linea (str): Linea donde se va a buscar la etiqueta
Returns:
st... | def calcularEtiqueta(sustraendo:str,minuendo:str)-> str:
"""Resta la diferencia entre dos PC en hexadecimal
sustraendo - minuendo
- Si
- Sustraendo - minuendo
- En caso de error regresa 'e10' operando muy grande
Args:
sustraendo (str): Ejemplo '0x7'
minuendo (str): Ejemplo '0x1... | 26 | 55 | import re
from Error import Error4,Error6,Error9
from DataBase import BaseDatos,BdRow
from .precompilada import precompilada
from typing import Pattern
def getEtiqueta(linea:str)->str:
"""Obtiene el nombre de la captura
Args:
linea (str): Linea donde se va a buscar la etiqueta
Returns:
st... |
convertirA2Hex | Convierte un numero decimal a hexadecimal
- Si el número es decimal lo convierte a complemento A2
Args:
numero (int): Número decimal que se quiere convertir Eg. 07
Returns:
str: Eg. 0x07 | import re
from Error import Error4,Error6,Error9
from DataBase import BaseDatos,BdRow
from .precompilada import precompilada
from typing import Pattern
def getEtiqueta(linea:str)->str:
"""Obtiene el nombre de la captura
Args:
linea (str): Linea donde se va a buscar la etiqueta
Returns:
st... | def convertirA2Hex(numero:int)-> str:
"""Convierte un numero decimal a hexadecimal
- Si el número es decimal lo convierte a complemento A2
Args:
numero (int): Número decimal que se quiere convertir Eg. 07
Returns:
str: Eg. 0x07
"""
# cuantos bits ocupa el número hexadecimal
... | 72 | 89 | import re
from Error import Error4,Error6,Error9
from DataBase import BaseDatos,BdRow
from .precompilada import precompilada
from typing import Pattern
def getEtiqueta(linea:str)->str:
"""Obtiene el nombre de la captura
Args:
linea (str): Linea donde se va a buscar la etiqueta
Returns:
st... |
award_points | Awards points to user based on an event and the queue.
`event` is one of the `REVIEWED_` keys in constants.
`status` is one of the `STATUS_` keys in constants. | import datetime
from django.conf import settings
from django.core.cache import cache
from django.db import models
from django.db.models import Sum
import commonware.log
import waffle
import amo
import mkt.constants.comm as comm
from amo.utils import cache_ns_key
from mkt.comm.utils import create_comm_note
from mkt.s... | @classmethod
def award_points(cls, user, addon, status, **kwargs):
"""Awards points to user based on an event and the queue.
`event` is one of the `REVIEWED_` keys in constants.
`status` is one of the `STATUS_` keys in constants.
"""
event = cls.get_event(addon, status,... | 100 | 118 | import datetime
from django.conf import settings
from django.core.cache import cache
from django.db import models
from django.db.models import Sum
import commonware.log
import waffle
import amo
import mkt.constants.comm as comm
from amo.utils import cache_ns_key
from mkt.comm.utils import create_comm_note
from mkt.s... |
bgr2ycbcr | bgr version of matlab rgb2ycbcr
Python opencv library (cv2) cv2.COLOR_BGR2YCrCb has
different parameters with MATLAB color convertion.
only_y: only return Y channel
separate: if true, will returng the channels as
separate images
Input:
uint8, [0, 255]
float, [0, 1] | """
BasicSR/codes/dataops/common.py (8-Nov-20)
https://github.com/victorca25/BasicSR/blob/dev2/codes/dataops/common.py
"""
import os
import math
import pickle
import random
import numpy as np
import torch
import cv2
import logging
import copy
from torchvision.utils import make_grid
#from dataops.colors import *
from... | def bgr2ycbcr(img, only_y=True, separate=False):
'''bgr version of matlab rgb2ycbcr
Python opencv library (cv2) cv2.COLOR_BGR2YCrCb has
different parameters with MATLAB color convertion.
only_y: only return Y channel
separate: if true, will returng the channels as
separate images
Input:
... | 217 | 251 | """
BasicSR/codes/dataops/common.py (8-Nov-20)
https://github.com/victorca25/BasicSR/blob/dev2/codes/dataops/common.py
"""
import os
import math
import pickle
import random
import numpy as np
import torch
import cv2
import logging
import copy
from torchvision.utils import make_grid
#from dataops.colors import *
from... |
ycbcr2rgb | bgr version of matlab ycbcr2rgb
Python opencv library (cv2) cv2.COLOR_YCrCb2BGR has
different parameters to MATLAB color convertion.
Input:
uint8, [0, 255]
float, [0, 1] | """
BasicSR/codes/dataops/common.py (8-Nov-20)
https://github.com/victorca25/BasicSR/blob/dev2/codes/dataops/common.py
"""
import os
import math
import pickle
import random
import numpy as np
import torch
import cv2
import logging
import copy
from torchvision.utils import make_grid
#from dataops.colors import *
from... | def ycbcr2rgb(img, only_y=True):
'''
bgr version of matlab ycbcr2rgb
Python opencv library (cv2) cv2.COLOR_YCrCb2BGR has
different parameters to MATLAB color convertion.
Input:
uint8, [0, 255]
float, [0, 1]
'''
in_img_type = img.dtype
img_ = img.astype(np.float32)
if... | 289 | 320 | """
BasicSR/codes/dataops/common.py (8-Nov-20)
https://github.com/victorca25/BasicSR/blob/dev2/codes/dataops/common.py
"""
import os
import math
import pickle
import random
import numpy as np
import torch
import cv2
import logging
import copy
from torchvision.utils import make_grid
#from dataops.colors import *
from... |
np2tensor | Converts a numpy image array into a Tensor array.
Parameters:
img (numpy array): the input image numpy array
add_batch (bool): choose if new tensor needs batch dimension added | """
BasicSR/codes/dataops/common.py (8-Nov-20)
https://github.com/victorca25/BasicSR/blob/dev2/codes/dataops/common.py
"""
import os
import math
import pickle
import random
import numpy as np
import torch
import cv2
import logging
import copy
from torchvision.utils import make_grid
#from dataops.colors import *
from... | def np2tensor(img, bgr2rgb=True, data_range=1., normalize=False, change_range=True, add_batch=True):
"""
Converts a numpy image array into a Tensor array.
Parameters:
img (numpy array): the input image numpy array
add_batch (bool): choose if new tensor needs batch dimension added
"""
... | 420 | 450 | """
BasicSR/codes/dataops/common.py (8-Nov-20)
https://github.com/victorca25/BasicSR/blob/dev2/codes/dataops/common.py
"""
import os
import math
import pickle
import random
import numpy as np
import torch
import cv2
import logging
import copy
from torchvision.utils import make_grid
#from dataops.colors import *
from... |
cookouttray | For those who do finances with cookout trays, we proudly present the command for you
Simply type one of the following:
cookouttray
ctray
trayforjay
Followed by a monetary value such as (leave off the dollar sign):
20
100
3.14
To have it converted into cookou... | import concurrent.futures
import datetime
import io
import logging
import os
import random
import time
import typing as t
import discord
import discord.ext.commands as commands
from PIL import Image, ImageDraw, ImageSequence, ImageFont
import bot.extensions as ext
from bot.consts import Colors
from bot.messaging.even... | @ext.command(hidden=True, aliases=['ctray', 'trayforjay'])
async def cookouttray(self, ctx, input):
"""
For those who do finances with cookout trays, we proudly present the command for you
Simply type one of the following:
cookouttray
ctray
... | 181 | 211 | import concurrent.futures
import datetime
import io
import logging
import os
import random
import time
import typing as t
import discord
import discord.ext.commands as commands
from PIL import Image, ImageDraw, ImageSequence, ImageFont
import bot.extensions as ext
from bot.consts import Colors
from bot... |
_invalid_headers | Verify whether the provided metadata in the URL is also present in the headers
:param url: .../file.txt&content-type=app%2Fjson&Signature=..
:param headers: Content-Type=app/json
:return: True or False | from __future__ import unicode_literals
import io
import os
import re
import sys
from botocore.awsrequest import AWSPreparedRequest
from moto.core.utils import (
amzn_request_id,
str_to_rfc_1123_datetime,
py2_strip_unicode_keys,
)
from urllib.parse import (
parse_qs,
parse_qsl,
urlparse,
... | def _invalid_headers(self, url, headers):
"""
Verify whether the provided metadata in the URL is also present in the headers
:param url: .../file.txt&content-type=app%2Fjson&Signature=..
:param headers: Content-Type=app/json
:return: True or False
"""
metadata... | 1,994 | 2,015 | from __future__ import unicode_literals
import io
import os
import re
import sys
from botocore.awsrequest import AWSPreparedRequest
from moto.core.utils import (
amzn_request_id,
str_to_rfc_1123_datetime,
py2_strip_unicode_keys,
)
from urllib.parse import (
parse_qs,
parse_qsl,
urlparse,
... |
__init__ | Constructor for the MCAcquisitionFunction base class.
Args:
model: A fitted model.
sampler: The sampler used to draw base samples. Defaults to
`SobolQMCNormalSampler(num_samples=512, collapse_batch_dims=True)`.
objective: The MCAcquisitionObjective under which the samples are
evaluated. Def... | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
r"""
Batch acquisition functions using the reparameterization trick in combination
with (quasi) Monte-Carlo sampling. See [Rezende2014reparam]_ and
[Wilson2017reparam]_
.. [Rezende2014reparam]
D. J. Rezende, S. Mohamed,... | def __init__(
self,
model: Model,
sampler: Optional[MCSampler] = None,
objective: Optional[MCAcquisitionObjective] = None,
X_pending: Optional[Tensor] = None,
) -> None:
r"""Constructor for the MCAcquisitionFunction base class.
Args:
model: A ... | 42 | 73 | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
r"""
Batch acquisition functions using the reparameterization trick in combination
with (quasi) Monte-Carlo sampling. See [Rezende2014reparam]_ and
[Wilson2017reparam]_
.. [Rezende2014reparam]
D. J. Rezende, S. Mohamed,... |
__init__ | q-Expected Improvement.
Args:
model: A fitted model.
best_f: The best objective value observed so far (assumed noiseless).
sampler: The sampler used to draw base samples. Defaults to
`SobolQMCNormalSampler(num_samples=500, collapse_batch_dims=True)`
objective: The MCAcquisitionObjective under w... | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
r"""
Batch acquisition functions using the reparameterization trick in combination
with (quasi) Monte-Carlo sampling. See [Rezende2014reparam]_ and
[Wilson2017reparam]_
.. [Rezende2014reparam]
D. J. Rezende, S. Mohamed,... | def __init__(
self,
model: Model,
best_f: Union[float, Tensor],
sampler: Optional[MCSampler] = None,
objective: Optional[MCAcquisitionObjective] = None,
X_pending: Optional[Tensor] = None,
) -> None:
r"""q-Expected Improvement.
Args:
m... | 104 | 131 | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
r"""
Batch acquisition functions using the reparameterization trick in combination
with (quasi) Monte-Carlo sampling. See [Rezende2014reparam]_ and
[Wilson2017reparam]_
.. [Rezende2014reparam]
D. J. Rezende, S. Mohamed,... |
forward | Evaluate qExpectedImprovement on the candidate set `X`.
Args:
X: A `(b) x q x d`-dim Tensor of `(b)` t-batches with `q` `d`-dim
design points each.
Returns:
A `(b)`-dim Tensor of Expected Improvement values at the given
design points `X`. | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
r"""
Batch acquisition functions using the reparameterization trick in combination
with (quasi) Monte-Carlo sampling. See [Rezende2014reparam]_ and
[Wilson2017reparam]_
.. [Rezende2014reparam]
D. J. Rezende, S. Mohamed,... | @concatenate_pending_points
@t_batch_mode_transform()
def forward(self, X: Tensor) -> Tensor:
r"""Evaluate qExpectedImprovement on the candidate set `X`.
Args:
X: A `(b) x q x d`-dim Tensor of `(b)` t-batches with `q` `d`-dim
design points each.
Returns:... | 133 | 151 | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
r"""
Batch acquisition functions using the reparameterization trick in combination
with (quasi) Monte-Carlo sampling. See [Rezende2014reparam]_ and
[Wilson2017reparam]_
.. [Rezende2014reparam]
D. J. Rezende, S. Mohamed,... |
__init__ | q-Noisy Expected Improvement.
Args:
model: A fitted model.
X_baseline: A `r x d`-dim Tensor of `r` design points that have
already been observed. These points are considered as the
potential best design point.
sampler: The sampler used to draw base samples. Defaults to
`SobolQMCNorm... | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
r"""
Batch acquisition functions using the reparameterization trick in combination
with (quasi) Monte-Carlo sampling. See [Rezende2014reparam]_ and
[Wilson2017reparam]_
.. [Rezende2014reparam]
D. J. Rezende, S. Mohamed,... | def __init__(
self,
model: Model,
X_baseline: Tensor,
sampler: Optional[MCSampler] = None,
objective: Optional[MCAcquisitionObjective] = None,
X_pending: Optional[Tensor] = None,
prune_baseline: bool = False,
) -> None:
r"""q-Noisy Expected Improve... | 172 | 210 | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
r"""
Batch acquisition functions using the reparameterization trick in combination
with (quasi) Monte-Carlo sampling. See [Rezende2014reparam]_ and
[Wilson2017reparam]_
.. [Rezende2014reparam]
D. J. Rezende, S. Mohamed,... |
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