max_stars_repo_path stringlengths 4 286 | max_stars_repo_name stringlengths 5 119 | max_stars_count int64 0 191k | id stringlengths 1 7 | content stringlengths 6 1.03M | content_cleaned stringlengths 6 1.03M | language stringclasses 111
values | language_score float64 0.03 1 | comments stringlengths 0 556k | edu_score float64 0.32 5.03 | edu_int_score int64 0 5 |
|---|---|---|---|---|---|---|---|---|---|---|
cinderclient/tests/v1/test_volume_encryption_types.py | citrix-openstack-build/python-cinderclient | 0 | 6624351 | <gh_stars>0
# Copyright (c) 2013 The Johns Hopkins University/Applied Physics Laboratory
# 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... | # Copyright (c) 2013 The Johns Hopkins University/Applied Physics Laboratory
# 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/... | en | 0.813483 | # Copyright (c) 2013 The Johns Hopkins University/Applied Physics Laboratory # 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/... | 2.123585 | 2 |
api/qymatix/etl_clarus.py | manisharmagarg/qymatix | 0 | 6624352 | import datetime
from api.qymatix import uploader
# from . import file_uploader
class EtlBase():
def __init__(self, dbname, file_name=None, since=None):
import datetime
from api.qymatix import uploader
self.dbname = dbname
self.file_name = file_name
self.since = since
... | import datetime
from api.qymatix import uploader
# from . import file_uploader
class EtlBase():
def __init__(self, dbname, file_name=None, since=None):
import datetime
from api.qymatix import uploader
self.dbname = dbname
self.file_name = file_name
self.since = since
... | en | 0.207195 | # from . import file_uploader :return: # 'Kundennr.': 'Account Name', # 'Re-/Gu-Nr.': , # 'ME': , # 'Breite': , # 'Positionswert': , # 'Pos.': , # 'F': , # 'Unterkundennr.': , # 'Auftragsposnr.': , # 'Menge ext.': , # 'DEK-Preis': , # 'LEK-Preis': , # 'VK-Preis': , # 'Umsatz EK': , # 'Auftr.Art': , # 'Auftragsartbez.':... | 2.214325 | 2 |
BOJ/graph_boj/bfs_reference.py | mrbartrns/swacademy_structure | 0 | 6624353 | <gh_stars>0
# 미로 탈출
"""
n * m 크기의 직사각형 형태의 미로에 갖혔다. 미로에는 여러마리의 괴물이 있어 이를 피해 탈출해야 한다.
동빈이의 위치는 (1, 1)이며, 출구는 (n, m)이다. 한번에 한칸씩만 이동할 수 있다.
탈출하기 위한 최소 이동거리를 출력하라
"""
from collections import deque
def bfs(x, y):
que = deque()
que.append((x, y))
while que:
x, y = que.popleft()
for i in range(... | # 미로 탈출
"""
n * m 크기의 직사각형 형태의 미로에 갖혔다. 미로에는 여러마리의 괴물이 있어 이를 피해 탈출해야 한다.
동빈이의 위치는 (1, 1)이며, 출구는 (n, m)이다. 한번에 한칸씩만 이동할 수 있다.
탈출하기 위한 최소 이동거리를 출력하라
"""
from collections import deque
def bfs(x, y):
que = deque()
que.append((x, y))
while que:
x, y = que.popleft()
for i in range(4):
... | ko | 1.000069 | # 미로 탈출 n * m 크기의 직사각형 형태의 미로에 갖혔다. 미로에는 여러마리의 괴물이 있어 이를 피해 탈출해야 한다. 동빈이의 위치는 (1, 1)이며, 출구는 (n, m)이다. 한번에 한칸씩만 이동할 수 있다. 탈출하기 위한 최소 이동거리를 출력하라 # print(graph) | 3.4522 | 3 |
src/ipyradiant/visualization/interactive_exploration.py | sanbales/ipyradiant | 0 | 6624354 | # Copyright (c) 2021 ipyradiant contributors.
# Distributed under the terms of the Modified BSD License.
import traitlets as trt
import ipycytoscape
import ipywidgets as W
import rdflib
from ipycytoscape import Edge, Node
from ipyradiant.query.api import SPARQLQueryFramer
from ipyradiant.rdf2nx.uri_converter import U... | # Copyright (c) 2021 ipyradiant contributors.
# Distributed under the terms of the Modified BSD License.
import traitlets as trt
import ipycytoscape
import ipywidgets as W
import rdflib
from ipycytoscape import Edge, Node
from ipyradiant.query.api import SPARQLQueryFramer
from ipyradiant.rdf2nx.uri_converter import U... | en | 0.863131 | # Copyright (c) 2021 ipyradiant contributors. # Distributed under the terms of the Modified BSD License. # "label": "data(iri)", # "label": "data(iri)", Return all triples for non-Literal objects (and the optional object labels). SELECT DISTINCT ?s ?p ?o ?label WHERE { ?s ?p ?o . FILTER (!isLiteral... | 1.874906 | 2 |
examples/pesum_kediyaram/to_audio.py | nv-d/open-tamil | 2 | 6624355 | # -*- coding: utf8 -*-
# This file is distributed under MIT License
# 2015 <NAME> <<EMAIL>>
#
import datetime
import time
import os
import sys
import tamil
import winsound
import wave
def get_time():
time_as_string = time.ctime()
# access only the date
today = datetime.date.today()
dnt_now = datetime... | # -*- coding: utf8 -*-
# This file is distributed under MIT License
# 2015 <NAME> <<EMAIL>>
#
import datetime
import time
import os
import sys
import tamil
import winsound
import wave
def get_time():
time_as_string = time.ctime()
# access only the date
today = datetime.date.today()
dnt_now = datetime... | en | 0.536063 | # -*- coding: utf8 -*- # This file is distributed under MIT License # 2015 <NAME> <<EMAIL>> # # access only the date # access hour, minute, second and microsecond fields # 1) Generate the numeral for number # 2) Find the relevant audio file # 3) Generate a single audio file # 4) Play this newly created audio file # 5) ... | 3.086103 | 3 |
pandas/tseries/tests/test_plotting.py | bjacobowski/pandas | 0 | 6624356 | <reponame>bjacobowski/pandas<filename>pandas/tseries/tests/test_plotting.py
from datetime import datetime, timedelta, date, time
import nose
from pandas.compat import lrange, zip
import numpy as np
from numpy.testing.decorators import slow
from pandas import Index, Series, DataFrame
from pandas.tseries.index import... | from datetime import datetime, timedelta, date, time
import nose
from pandas.compat import lrange, zip
import numpy as np
from numpy.testing.decorators import slow
from pandas import Index, Series, DataFrame
from pandas.tseries.index import date_range, bdate_range
from pandas.tseries.offsets import DateOffset, Week... | en | 0.729248 | # GH2877 # For issue #8765 # inferred freq # axes freq # N > 1 # it works #B was plotted # note this is added to the annual plot already in existence, and changes its freq field # tsplot # GH2571 # string # datetim # irregular # non-ts # GH 9852 # GH 9852 # tsplot # idxl lines # tsplot # idxl lines # low to high # chec... | 2.349677 | 2 |
leetcode/easy/linkedList/test_delete_node_in_a_linked_list.py | yenbohuang/online-contest-python | 0 | 6624357 | # https://leetcode.com/problems/delete-node-in-a-linked-list/
import unittest
from ...leetcode_data_model import ListNode
class Solution(object):
def deleteNode(self, node):
"""
:type node: ListNode
:rtype: void Do not return anything, modify node in-place instead.
"""
nod... | # https://leetcode.com/problems/delete-node-in-a-linked-list/
import unittest
from ...leetcode_data_model import ListNode
class Solution(object):
def deleteNode(self, node):
"""
:type node: ListNode
:rtype: void Do not return anything, modify node in-place instead.
"""
nod... | en | 0.692952 | # https://leetcode.com/problems/delete-node-in-a-linked-list/ :type node: ListNode :rtype: void Do not return anything, modify node in-place instead. | 3.902002 | 4 |
Visualisation/voxel_to_mesh.py | ayushjain1144/SeeingByMoving | 13 | 6624358 | <gh_stars>10-100
import skimage
from skimage.measure import marching_cubes as mcl
from mayavi import mlab
import numpy as np
import ipdb
st = ipdb.set_trace
def save_voxel_to_mesh(voxel_grid, output_fname):
verts, faces, normals, values = mcl(voxel_grid, 0.0)
mlab.triangular_mesh([vert[0] for vert in verts... | import skimage
from skimage.measure import marching_cubes as mcl
from mayavi import mlab
import numpy as np
import ipdb
st = ipdb.set_trace
def save_voxel_to_mesh(voxel_grid, output_fname):
verts, faces, normals, values = mcl(voxel_grid, 0.0)
mlab.triangular_mesh([vert[0] for vert in verts],
... | en | 0.287742 | # load voxel grid #st() | 2.277357 | 2 |
django/utils/encoding.py | mitar/django | 1 | 6624359 | import types
import urllib
import locale
import datetime
import codecs
from decimal import Decimal
from django.utils.functional import Promise
class DjangoUnicodeDecodeError(UnicodeDecodeError):
def __init__(self, obj, *args):
self.obj = obj
UnicodeDecodeError.__init__(self, *args)
def __str_... | import types
import urllib
import locale
import datetime
import codecs
from decimal import Decimal
from django.utils.functional import Promise
class DjangoUnicodeDecodeError(UnicodeDecodeError):
def __init__(self, obj, *args):
self.obj = obj
UnicodeDecodeError.__init__(self, *args)
def __str_... | en | 0.858916 | A class whose __str__ returns its __unicode__ as a UTF-8 bytestring. Useful as a mix-in. Returns a unicode object representing 's'. Treats bytestrings using the 'encoding' codec. If strings_only is True, don't convert (some) non-string-like objects. # The input is the result of a gettext_lazy() call. Dete... | 2.557197 | 3 |
detection_train.py | cclauss/simpledet | 0 | 6624360 | import argparse
import importlib
import logging
import os
import pprint
import pickle as pkl
from functools import reduce
from core.detection_module import DetModule
from utils import callback
from utils.memonger_v2 import search_plan_to_layer
from utils.lr_scheduler import WarmupMultiFactorScheduler, LRSequential, Ad... | import argparse
import importlib
import logging
import os
import pprint
import pickle as pkl
from functools import reduce
from core.detection_module import DetModule
from utils import callback
from utils.memonger_v2 import search_plan_to_layer
from utils.lr_scheduler import WarmupMultiFactorScheduler, LRSequential, Ad... | en | 0.636597 | # only rank==0 print all debug infos # for distributed training using shared file system # set up logger # setup multi-gpu # print config # if rank == 0: # logger.info(pprint.pformat(config)) # load dataset and prepare imdb for training # filter empty image # add flip roi record # infer shape # memonger # load and ... | 1.89022 | 2 |
sequence_search/consumer/nhmmer_parse.py | RNAcentral/sequence_search | 2 | 6624361 | <gh_stars>1-10
"""
Copyright [2009-2019] EMBL-European Bioinformatics Institute
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 appl... | """
Copyright [2009-2019] EMBL-European Bioinformatics Institute
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or a... | en | 0.495856 | Copyright [2009-2019] EMBL-European Bioinformatics Institute Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agree... | 2.589684 | 3 |
test/dialect/mssql/test_reflection.py | lxl0928/timi_sqlalchemy | 1 | 6624362 | # -*- encoding: utf-8
from sqlalchemy import Column
from sqlalchemy import DDL
from sqlalchemy import event
from sqlalchemy import ForeignKey
from sqlalchemy import Index
from sqlalchemy import inspect
from sqlalchemy import Integer
from sqlalchemy import MetaData
from sqlalchemy import PrimaryKeyConstraint
from sqlalc... | # -*- encoding: utf-8
from sqlalchemy import Column
from sqlalchemy import DDL
from sqlalchemy import event
from sqlalchemy import ForeignKey
from sqlalchemy import Index
from sqlalchemy import inspect
from sqlalchemy import Integer
from sqlalchemy import MetaData
from sqlalchemy import PrimaryKeyConstraint
from sqlalc... | en | 0.947667 | # -*- encoding: utf-8 # FLOAT(5) comes back as REAL create table foo (id integer primary key, data xml) # test for issue #4228 test [ticket:3504]. Here we are testing not just that the "max" token comes back as None, but also that these types accept "max" as the value of "length" on constructio... | 2.208454 | 2 |
robocode-python-ls-core/src/robocode_ls_core/subprocess_wrapper.py | emanlove/robotframework-lsp | 0 | 6624363 | <reponame>emanlove/robotframework-lsp<filename>robocode-python-ls-core/src/robocode_ls_core/subprocess_wrapper.py
import subprocess
def _fix_subprocess():
import sys
from robocode_ls_core.constants import IS_PY37_ONWARDS
# Workaround for https://bugs.python.org/issue37380 in older versions of Python.
... | import subprocess
def _fix_subprocess():
import sys
from robocode_ls_core.constants import IS_PY37_ONWARDS
# Workaround for https://bugs.python.org/issue37380 in older versions of Python.
# i.e.: OSError: [WinError 6] The handle is invalid
if IS_PY37_ONWARDS:
return # This is fixed in 3.... | en | 0.914415 | # Workaround for https://bugs.python.org/issue37380 in older versions of Python. # i.e.: OSError: [WinError 6] The handle is invalid # This is fixed in 3.7 onwards. # Just check that there is in fact a _cleanup attribute there. # This is the fix. # This can happen if two threads create a new Popen instance. # It's harm... | 2.360623 | 2 |
Lib/test/test_traceback.py | odeke-em/cpython | 0 | 6624364 | """Test cases for traceback module"""
from collections import namedtuple
from io import StringIO
import linecache
import sys
import unittest
import re
from test.support import run_unittest, Error, captured_output
from test.support import TESTFN, unlink, cpython_only
from test.script_helper import assert_python_ok
impo... | """Test cases for traceback module"""
from collections import namedtuple
from io import StringIO
import linecache
import sys
import unittest
import re
from test.support import run_unittest, Error, captured_output
from test.support import TESTFN, unlink, cpython_only
from test.script_helper import assert_python_ok
impo... | en | 0.780875 | Test cases for traceback module # For now, a very minimal set of tests. I want to be sure that # formatting of SyntaxErrors works based on changes for 2.1. # third line has caret # in the right place # third line has caret # and no additional newline # in the right place # third line has caret # and no additional newl... | 2.771586 | 3 |
Predict_Score.py | US579/RecommenderSystems | 0 | 6624365 | <reponame>US579/RecommenderSystems
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.metrics import mean_squared_error
from math import sqrt
from sklearn.metrics.pairwise import cosine_similarity
import scipy.sparse as sp
from scipy.sparse.linalg import svds
from sklearn.model_selectio... | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.metrics import mean_squared_error
from math import sqrt
from sklearn.metrics.pairwise import cosine_similarity
import scipy.sparse as sp
from scipy.sparse.linalg import svds
from sklearn.model_selection import train_test_split
from skle... | en | 0.475529 | # Read Data and Cleaning # Uitem_header = ['item_id', 'movie_title', 'release_date', 'video_release_date', # 'IMDb_URL', 'unknown', 'Action', 'Adventure' ,'Animation', # 'Childrens','Comedy', 'Crime', 'Documentary', 'Drama', 'Fantasy', # 'Film-Noir', 'Horror', 'Musical', 'Mys... | 2.254189 | 2 |
scraper/test_scraper.py | ecohealthalliance/grits-api | 3 | 6624366 | # coding=utf8
import unittest
import scraper
import process_resources
import logging
import translation
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger('scraper')
logger.setLevel(logging.INFO)
class TestScraper(unittest.TestCase):
def test_promed_1(self):
result = scraper.scrape("http://... | # coding=utf8
import unittest
import scraper
import process_resources
import logging
import translation
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger('scraper')
logger.setLevel(logging.INFO)
class TestScraper(unittest.TestCase):
def test_promed_1(self):
result = scraper.scrape("http://... | en | 0.55513 | # coding=utf8 # print process_resources.extract_clean_content(result['htmlContent']) # print process_resources.extract_clean_content(result['htmlContent']) # print process_resources.extract_clean_content(result['htmlContent']) # print process_resources.extract_clean_content(result['htmlContent']) # print process_resour... | 2.575717 | 3 |
handy/rand/number.py | Al3xChen/handy | 5 | 6624367 | # -*- coding: utf-8 -*-
"""
Created on Wed Dec 27 22:20:38 2017
@author: Frank
"""
from random import choice
#封装函数，生成随机手机号码
def randomPN():
area_num = ['187','186','186','158','155','156','138','135','136','177','176','144','147']
#获取手机号码区域号
area_number = choice(area_num)
#生成后8位手机号码
seed = "1234567890"
... | # -*- coding: utf-8 -*-
"""
Created on Wed Dec 27 22:20:38 2017
@author: Frank
"""
from random import choice
#封装函数，生成随机手机号码
def randomPN():
area_num = ['187','186','186','158','155','156','138','135','136','177','176','144','147']
#获取手机号码区域号
area_number = choice(area_num)
#生成后8位手机号码
seed = "1234567890"
... | zh | 0.621582 | # -*- coding: utf-8 -*- Created on Wed Dec 27 22:20:38 2017 @author: Frank #封装函数，生成随机手机号码 #获取手机号码区域号 #生成后8位手机号码 #拼接生成完整手机号码 | 3.401988 | 3 |
Day66-75/code/example02.py | EngrSaad2/Python-100-Days | 37 | 6624368 | <reponame>EngrSaad2/Python-100-Days<gh_stars>10-100
from bs4 import BeautifulSoup
import re
def main():
html = """
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>首页</title>
</head>
<body>
<h1>Hello, world!</h1>
... | from bs4 import BeautifulSoup
import re
def main():
html = """
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>首页</title>
</head>
<body>
<h1>Hello, world!</h1>
<p>这是一个<em>神奇</em>的网站！</p>
<hr>
... | ja | 0.125663 | <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <title>首页</title> </head> <body> <h1>Hello, world!</h1> <p>这是一个<em>神奇</em>的网站！</p> <hr> <div> <h2>这是一个例子程序</h2> <p>静夜思</p> ... | 3.126176 | 3 |
scripts/xor_4f/xor_4f_diagnostics.py | NRuf77/proset | 0 | 6624369 | """Score proset classifier trained on the 'continuous XOR' problem with 4 features.
Copyright by <NAME>
Released under the MIT license - see LICENSE file for details
"""
import gzip
import os
import pickle
import numpy as np
from sklearn.metrics import classification_report, log_loss, roc_auc_score
imp... | """Score proset classifier trained on the 'continuous XOR' problem with 4 features.
Copyright by <NAME>
Released under the MIT license - see LICENSE file for details
"""
import gzip
import os
import pickle
import numpy as np
from sklearn.metrics import classification_report, log_loss, roc_auc_score
imp... | en | 0.926049 | Score proset classifier trained on the 'continuous XOR' problem with 4 features.
Copyright by <NAME>
Released under the MIT license - see LICENSE file for details # select test samples which have identical class based on the first two features # fix remaining features to positive sign # noinspection PyUnresolvedRef... | 2.32154 | 2 |
acc_utils/errors.py | cap-lab/MidapSim | 2 | 6624370 | <gh_stars>1-10
from __future__ import absolute_import, division, print_function, unicode_literals
# Define possible errors in simulator
def _assert(cand, note=""):
if not cand:
raise ValueError(note)
class ModelBuildError(Exception):
def __init__(self, msg='Not defined'):
self.msg = 'MIDAP ... | from __future__ import absolute_import, division, print_function, unicode_literals
# Define possible errors in simulator
def _assert(cand, note=""):
if not cand:
raise ValueError(note)
class ModelBuildError(Exception):
def __init__(self, msg='Not defined'):
self.msg = 'MIDAP MODEL Build Err... | en | 0.50854 | # Define possible errors in simulator | 2.37515 | 2 |
tests/test_folder.py | phaustin/canvasapi | 0 | 6624371 | from __future__ import absolute_import, division, print_function, unicode_literals
import unittest
import requests_mock
import warnings
from canvasapi import Canvas
from canvasapi.file import File
from canvasapi.folder import Folder
from tests import settings
from tests.util import register_uris
@requests_mock.Mock... | from __future__ import absolute_import, division, print_function, unicode_literals
import unittest
import requests_mock
import warnings
from canvasapi import Canvas
from canvasapi.file import File
from canvasapi.folder import Folder
from tests import settings
from tests.util import register_uris
@requests_mock.Mock... | en | 0.096998 | # __str__() # list_files() # get_files() # delete() # list_folders() # get_folders() # create_folder() # update() # copy_file() | 2.365379 | 2 |
aispider/test.py | East196/aispider | 1 | 6624372 | # -*- coding: utf-8 -*-
import urllib
from bs4 import BeautifulSoup
from random import randint
import time
import json
import codecs
file_name = u"d:/anjuke.index.html"
# home = 'http://sz.fang.anjuke.com/loupan/all/'
# response = urllib2.urlopen(home)
# html = response.read()
#
# f = open(file_name, 'w')
# f.write... | # -*- coding: utf-8 -*-
import urllib
from bs4 import BeautifulSoup
from random import randint
import time
import json
import codecs
file_name = u"d:/anjuke.index.html"
# home = 'http://sz.fang.anjuke.com/loupan/all/'
# response = urllib2.urlopen(home)
# html = response.read()
#
# f = open(file_name, 'w')
# f.write... | en | 0.323748 | # -*- coding: utf-8 -*- # home = 'http://sz.fang.anjuke.com/loupan/all/' # response = urllib2.urlopen(home) # html = response.read() # # f = open(file_name, 'w') # f.write(html) # f = open(file_name, 'r') # html = f.read().encode("utf-8") # soup = BeautifulSoup(html, "lxml") # for c in soup.children: # print c.getp... | 2.896704 | 3 |
unittests/test_models/test_db.py | BoroviyOrest/QuizzesAPI | 0 | 6624373 | import pytest
from bson import ObjectId
from pydantic import ValidationError
from models.db import DBModelMixin
@pytest.fixture
def id_data():
return {'_id': '<KEY>'}
def test_db_model_mixin_correct_data(id_data):
model = DBModelMixin(**id_data)
assert model.id == ObjectId(id_data['_id'])
@pytest.mar... | import pytest
from bson import ObjectId
from pydantic import ValidationError
from models.db import DBModelMixin
@pytest.fixture
def id_data():
return {'_id': '<KEY>'}
def test_db_model_mixin_correct_data(id_data):
model = DBModelMixin(**id_data)
assert model.id == ObjectId(id_data['_id'])
@pytest.mar... | none | 1 | 2.456089 | 2 | |
grakel/kernels/pyramid_match.py | vishalbelsare/GraKeL | 0 | 6624374 | """The pyramid match kernel as in :cite:`nikolentzos2017matching`."""
# Author: <NAME> <<EMAIL>>
# License: BSD 3 clause
import collections
import warnings
import numpy as np
from itertools import chain
from scipy.sparse import csr_matrix
from scipy.sparse.linalg import eigs
from grakel.graph import Graph
from grak... | """The pyramid match kernel as in :cite:`nikolentzos2017matching`."""
# Author: <NAME> <<EMAIL>>
# License: BSD 3 clause
import collections
import warnings
import numpy as np
from itertools import chain
from scipy.sparse import csr_matrix
from scipy.sparse.linalg import eigs
from grakel.graph import Graph
from grak... | en | 0.783617 | The pyramid match kernel as in :cite:`nikolentzos2017matching`. # Author: <NAME> <<EMAIL>> # License: BSD 3 clause # Python 2/3 cross-compatibility import Pyramid match kernel class. Kernel defined in :cite:`nikolentzos2017matching` Parameters ---------- with_labels : bool, default=True A flag... | 2.783228 | 3 |
prompt_tuning/data/metrics_test.py | techthiyanes/prompt-tuning | 0 | 6624375 | # Copyright 2022 Google.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, soft... | # Copyright 2022 Google.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, soft... | en | 0.85137 | # Copyright 2022 Google. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, soft... | 2.302775 | 2 |
python/mxnet/_ctypes/symbol.py | bill-teng/mxnet-test | 5 | 6624376 | <reponame>bill-teng/mxnet-test
# coding: utf-8
# pylint: disable=invalid-name, protected-access, too-many-arguments, global-statement
"""Symbolic configuration API."""
from __future__ import absolute_import as _abs
import ctypes
import sys
import numpy as _numpy
from ..base import _LIB
from ..base import c_array, c_s... | # coding: utf-8
# pylint: disable=invalid-name, protected-access, too-many-arguments, global-statement
"""Symbolic configuration API."""
from __future__ import absolute_import as _abs
import ctypes
import sys
import numpy as _numpy
from ..base import _LIB
from ..base import c_array, c_str, mx_uint, py_str
from ..base... | en | 0.516885 | # coding: utf-8 # pylint: disable=invalid-name, protected-access, too-many-arguments, global-statement Symbolic configuration API. Symbol is symbolic graph. # pylint: disable=no-member Initialize the function with handle Parameters ---------- handle : SymbolHandle the handle to the... | 2.242832 | 2 |
creatorRSA.py | munozariasjm/RSA_toyModel | 0 | 6624377 | <gh_stars>0
import numpy as np
import math
def isPrime(k):
ban=True
for z in range(2,k):
if k%z==0: ban=False
return ban
sec=100
def setSec(secs): sec=secs
def generarVals(numerito):
e=65537
p=11;q=17
#primesP = [i for i in range(13,numerito) if isPrime(i)... | import numpy as np
import math
def isPrime(k):
ban=True
for z in range(2,k):
if k%z==0: ban=False
return ban
sec=100
def setSec(secs): sec=secs
def generarVals(numerito):
e=65537
p=11;q=17
#primesP = [i for i in range(13,numerito) if isPrime(i) and i%e!=1]... | en | 0.13215 | #primesP = [i for i in range(13,numerito) if isPrime(i) and i%e!=1] #p = np.random.choice(primesP) #primesQ = [i for i in range(17,numerito) if isPrime(i) and i%e!=1] #q = np.random.choice(primesQ) #print("public Key es: {}{}".format(n,e)) #print("private Key es: {} ".format(int(d))) | 2.998129 | 3 |
examples/kubeflow/main.py | rbrishabh/fairing | 0 | 6624378 | # 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... | # 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... | en | 0.834099 | # 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... | 2.275605 | 2 |
_test_projects/unittests/index.py | oren0e/cob | 2 | 6624379 | # cob: type=views mountpoint=/index
from cob import route
from . import mymodels
from flask import jsonify
@route('/list_models')
def get_all_models():
return jsonify([{'id': p.id} for p in mymodels.Person.query.all()])
| # cob: type=views mountpoint=/index
from cob import route
from . import mymodels
from flask import jsonify
@route('/list_models')
def get_all_models():
return jsonify([{'id': p.id} for p in mymodels.Person.query.all()])
| en | 0.727207 | # cob: type=views mountpoint=/index | 2.099873 | 2 |
tasks.py | slekwati/dotfiles-1 | 0 | 6624380 | #!/usr/bin/env python3
from invoke import task
import sys
from typing import List
from deploy_nixos import DeployHost, DeployGroup
def deploy_nixos(hosts: List[DeployHost]) -> None:
"""
Deploy to all hosts in parallel
"""
g = DeployGroup(hosts)
def deploy(h: DeployHost) -> None:
h.run_l... | #!/usr/bin/env python3
from invoke import task
import sys
from typing import List
from deploy_nixos import DeployHost, DeployGroup
def deploy_nixos(hosts: List[DeployHost]) -> None:
"""
Deploy to all hosts in parallel
"""
g = DeployGroup(hosts)
def deploy(h: DeployHost) -> None:
h.run_l... | en | 0.568665 | #!/usr/bin/env python3 Deploy to all hosts in parallel Deploy to eve, eva and localhost Deploy to bernie Deploy to matchbox Deploy to matchbox Deploy to dotfiles sudo -u joerg zsh <<'EOF' cd $HOME source $HOME/.zshrc homeshick pull homeshick symlink homeshick cd dotfiles nix build --out-link $HOME/.hm-activate ".#hmCon... | 2.026087 | 2 |
ledgerwallet/proto/listApps_pb2.py | Vedrillan/ledgerctl | 26 | 6624381 | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: listApps.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _refl... | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: listApps.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _refl... | en | 0.505465 | # Generated by the protocol buffer compiler. DO NOT EDIT! # source: listApps.proto # @@protoc_insertion_point(imports) # @@protoc_insertion_point(class_scope:listapps.App) # @@protoc_insertion_point(class_scope:listapps.AppList) # @@protoc_insertion_point(module_scope) | 1.167686 | 1 |
SVS/model/archive/preprocessing/kaldi_data.py | PeterGuoRuc/SVS_system | 78 | 6624382 | """Copyright [2019] [<NAME>].
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
dis... | """Copyright [2019] [<NAME>].
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
dis... | en | 0.767329 | Copyright [2019] [<NAME>]. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distri... | 2.062063 | 2 |
H36M_BasePredModel.py | xcyan/eccv18_mtvae | 37 | 6624383 | """Base class for Human3.6M Keypoint Generation."""
import os
import numpy as np
import tensorflow as tf
import h36m_input as input_generator
import h36m_losses as losses
import utils
import model_utils
from preprocess.video_proc_utils import VideoProc
slim = tf.contrib.slim
def _get_data_from_provider(inputs, bat... | """Base class for Human3.6M Keypoint Generation."""
import os
import numpy as np
import tensorflow as tf
import h36m_input as input_generator
import h36m_losses as losses
import utils
import model_utils
from preprocess.video_proc_utils import VideoProc
slim = tf.contrib.slim
def _get_data_from_provider(inputs, bat... | de | 0.300657 | Base class for Human3.6M Keypoint Generation. Load data from input_genetator. Defines Human3.6M motion generation model. # # Loads a batch of input from a single source. Loads given dataset and split. # Data augmentation. Initialize assignment operator function used while training. Python function. ####################... | 2.315866 | 2 |
examples/combat_sim/entities.py | LearnPythonAndMakeGames/ecs | 6 | 6624384 | #!/usr/bin/env python
import sys
from ecs import Entity
from components import Health, Damage
if sys.platform.startswith('2'):
range = xrange
def setup_entities(number_of_cowboys=100, number_of_aliens=100):
'''Sets up all the entities'''
# Generate entities and add components to them
cowboys = []
... | #!/usr/bin/env python
import sys
from ecs import Entity
from components import Health, Damage
if sys.platform.startswith('2'):
range = xrange
def setup_entities(number_of_cowboys=100, number_of_aliens=100):
'''Sets up all the entities'''
# Generate entities and add components to them
cowboys = []
... | en | 0.711847 | #!/usr/bin/env python Sets up all the entities # Generate entities and add components to them # Convenient dictionary splitting the two types of entities | 2.826732 | 3 |
3_6Dpose_estimator/train_YOLO/scripts/gt_single_object.py | Minipeps/betapose | 66 | 6624385 | <gh_stars>10-100
import os
import yaml
import random
from tqdm import tqdm
from shutil import copyfile
opj = os.path.join
NUM_SEQS = 15
CLASS_NAMES = ('ape', 'bvise', 'bowl', 'camera', 'can', 'cat', 'cup',
'driller', 'duck', 'eggbo', 'glue', 'holepuncher', 'iron', 'lamp', 'phone')
SIXD = '/home/data/six... | import os
import yaml
import random
from tqdm import tqdm
from shutil import copyfile
opj = os.path.join
NUM_SEQS = 15
CLASS_NAMES = ('ape', 'bvise', 'bowl', 'camera', 'can', 'cat', 'cup',
'driller', 'duck', 'eggbo', 'glue', 'holepuncher', 'iron', 'lamp', 'phone')
SIXD = '/home/data/sixd/hinterstoisser/... | la | 0.810422 | # image # anno | 2.309425 | 2 |
pay-api/src/pay_api/services/statement_settings.py | thorwolpert/sbc-pay | 4 | 6624386 | # Copyright © 2019 Province of British Columbia
#
# Licensed under the Apache License, Version 2.0 (the 'License');
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | # Copyright © 2019 Province of British Columbia
#
# Licensed under the Apache License, Version 2.0 (the 'License');
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | en | 0.876177 | # Copyright © 2019 Province of British Columbia # # Licensed under the Apache License, Version 2.0 (the 'License'); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agr... | 1.911011 | 2 |
mesh.py | MarcoCiaramella/Voxelize | 1 | 6624387 | from voxel import Voxel
from color import Color
class Mesh:
PLY_HEADER_TOP = "ply\nformat ascii 1.0\nelement vertex %d\n"
PLY_HEADER_VERTEX = "property float x\nproperty float y\nproperty float z\n"
PLY_HEADER_NORMAL = "property float nx\nproperty float ny\nproperty float nz\n"
PLY_HEADER_COLOR = "p... | from voxel import Voxel
from color import Color
class Mesh:
PLY_HEADER_TOP = "ply\nformat ascii 1.0\nelement vertex %d\n"
PLY_HEADER_VERTEX = "property float x\nproperty float y\nproperty float z\n"
PLY_HEADER_NORMAL = "property float nx\nproperty float ny\nproperty float nz\n"
PLY_HEADER_COLOR = "p... | none | 1 | 2.777761 | 3 | |
DataStructure and algorithms/LinkedList/reverseLL.py | Rajatkhatri7/Project-Milap | 0 | 6624388 | <reponame>Rajatkhatri7/Project-Milap
#!/usr/bin/env python3
class Node:
def __init__(self,data):
self.data = data
self.next = next
class LinkedList:
def __init__(self):
self.head = None
def appending(self,data):
if self.head is None:
new_node = Node(data)... | #!/usr/bin/env python3
class Node:
def __init__(self,data):
self.data = data
self.next = next
class LinkedList:
def __init__(self):
self.head = None
def appending(self,data):
if self.head is None:
new_node = Node(data)
self.head = new_node
... | en | 0.618715 | #!/usr/bin/env python3 #swapping via iteration #base case when current reach the end of linked list ,current is None #see in the results swapping happens | 4.247748 | 4 |
roialign/roi_align/crop_and_resize.py | chan4899/pytorch-mask-rcnn | 0 | 6624389 | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Function
from . import crop_and_resize as _backend
class CropAndResizeFunction(Function):
def __init__(self, crop_height, crop_width, extrapolation_value=0):
self.crop_height = crop_height
s... | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Function
from . import crop_and_resize as _backend
class CropAndResizeFunction(Function):
def __init__(self, crop_height, crop_width, extrapolation_value=0):
self.crop_height = crop_height
s... | en | 0.787265 | # save for backward Crop and resize ported from tensorflow See more details on https://www.tensorflow.org/api_docs/python/tf/image/crop_and_resize | 2.655502 | 3 |
var/spack/repos/builtin/packages/openblas/package.py | pbrady/spack | 348 | 6624390 | # Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
import os
import re
from spack import *
from spack.package_test import compare_output_file, compile_c_and_execute
class... | # Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
import os
import re
from spack import *
from spack.package_test import compare_output_file, compile_c_and_execute
class... | en | 0.836932 | # Copyright 2013-2021 Lawrence Livermore National Security, LLC and other # Spack Project Developers. See the top-level COPYRIGHT file for details. # # SPDX-License-Identifier: (Apache-2.0 OR MIT) OpenBLAS: An optimized BLAS library # virtual dependency # OpenBLAS >=3.0 has an official way to disable internal parallel ... | 1.729921 | 2 |
api/handlers.py | gabriellsesam/oracle-transform | 0 | 6624391 | def generic_handler(dbconnection, variables, logger, entity):
"""For a given entity, I query the given database and return the entity appended with 'query_result'
:param OracleDB dbconnection: Connection to a given database.
:param VariablesConfig variables: Object with environment variables.
:param se... | def generic_handler(dbconnection, variables, logger, entity):
"""For a given entity, I query the given database and return the entity appended with 'query_result'
:param OracleDB dbconnection: Connection to a given database.
:param VariablesConfig variables: Object with environment variables.
:param se... | en | 0.623142 | For a given entity, I query the given database and return the entity appended with 'query_result' :param OracleDB dbconnection: Connection to a given database. :param VariablesConfig variables: Object with environment variables. :param sesam_logger logger: Logger to log info/errors to. :param dict enti... | 2.921747 | 3 |
caffe2/contrib/fakelowp/test/test_fc_nnpi_fp16.py | Stonepia/pytorch | 1 | 6624392 | <gh_stars>1-10
import numpy as np
import unittest
import caffe2.python.fakelowp.init_shared_libs # noqa
from hypothesis import given, settings
from hypothesis import strategies as st
from caffe2.proto import caffe2_pb2
from caffe2.python import core
from caffe2.python import workspace
from caffe2.python.onnx.onnxifi ... | import numpy as np
import unittest
import caffe2.python.fakelowp.init_shared_libs # noqa
from hypothesis import given, settings
from hypothesis import strategies as st
from caffe2.proto import caffe2_pb2
from caffe2.python import core
from caffe2.python import workspace
from caffe2.python.onnx.onnxifi import onnxifi_... | en | 0.86203 | # noqa Test that the matmul engine is working, this doesn't test precision # Run Glow net # Run caffe2 net Test numerics, use examples found from the unit test. Use Fp16FCAcc16NNPI as a reference. # keep onnxifi happy by feeding something with a shape # Run Glow net Test numerics, fix a dimensio... | 2.117378 | 2 |
nscan/nscan.py | Unam3dd/Train-2018-2020 | 4 | 6624393 | <reponame>Unam3dd/Train-2018-2020<gh_stars>1-10
#!/usr/bin/python2
#-*- coding:utf-8 -*-
import socket
import subprocess
import os
import netifaces
import threading
import thread
from datetime import datetime
import time
import shlex
import platform
import sys
import argparse
banner = '''
███▄ █ ██████ ▄████▄... | #!/usr/bin/python2
#-*- coding:utf-8 -*-
import socket
import subprocess
import os
import netifaces
import threading
import thread
from datetime import datetime
import time
import shlex
import platform
import sys
import argparse
banner = '''
███▄ █ ██████ ▄████▄ ▄▄▄ ███▄ █
██ ▀█ █ ▒██ ▒ ▒██▀ ... | zh | 0.156745 | #!/usr/bin/python2 #-*- coding:utf-8 -*- ███▄ █ ██████ ▄████▄ ▄▄▄ ███▄ █ ██ ▀█ █ ▒██ ▒ ▒██▀ ▀█ ▒████▄ ██ ▀█ █ ▓██ ▀█ ██▒░ ▓██▄ ▒▓█ ▄ ▒██ ▀█▄ ▓██ ▀█ ██▒ ▓██▒ ▐▌██▒ ▒ ██▒▒▓▓▄ ▄██▒░██▄▄▄▄██ ▓██▒ ▐▌██▒ ▒██░ ▓██░▒██████▒▒▒ ▓███▀ ░ ▓█ ▓██▒▒██░ ▓██░ ░ ▒░ ▒ ▒ ▒ ▒▓▒ ▒ ░░ ░▒ ▒ ... | 2.455667 | 2 |
testsuite/tests/apicast/parameters/apicast_path_routing/test_apicast_path_routing.py | dlaso99/3scale-tests | 5 | 6624394 | """Rewrite of spec/openshift_specs/path_based_routing_two_backends_spec.rb
When `APICAST_PATH_ROUTING` parameter is set to true, the gateway will use path-based routing
in addition to the default host-based routing.
The API request will be routed to the first service that has a matching mapping rule,
from the list of ... | """Rewrite of spec/openshift_specs/path_based_routing_two_backends_spec.rb
When `APICAST_PATH_ROUTING` parameter is set to true, the gateway will use path-based routing
in addition to the default host-based routing.
The API request will be routed to the first service that has a matching mapping rule,
from the list of ... | en | 0.857678 | Rewrite of spec/openshift_specs/path_based_routing_two_backends_spec.rb When `APICAST_PATH_ROUTING` parameter is set to true, the gateway will use path-based routing in addition to the default host-based routing. The API request will be routed to the first service that has a matching mapping rule, from the list of ser... | 2.622244 | 3 |
tests/test_cloudwatch/test_cloudwatch_boto3.py | akingscote/moto | 5,460 | 6624395 | import boto3
import pytest
import pytz
import sure # noqa # pylint: disable=unused-import
from botocore.exceptions import ClientError
from datetime import datetime, timedelta
from dateutil.tz import tzutc
from decimal import Decimal
from freezegun import freeze_time
from operator import itemgetter
from uuid import uu... | import boto3
import pytest
import pytz
import sure # noqa # pylint: disable=unused-import
from botocore.exceptions import ClientError
from datetime import datetime, timedelta
from dateutil.tz import tzutc
from decimal import Decimal
from freezegun import freeze_time
from operator import itemgetter
from uuid import uu... | en | 0.79261 | # noqa # pylint: disable=unused-import # no Value to test https://github.com/spulec/moto/issues/1615 # TODO: test statistics - https://github.com/spulec/moto/issues/1615 # put metric data with different dimensions # list of (<kwargs>, <expectedSum>, <expectedAverage>) # get metric stats with no restriction on dimensio... | 1.870384 | 2 |
summary/sumy/sklearn/multiclass.py | WangWenjun559/MITS | 6 | 6624396 | <reponame>WangWenjun559/MITS
"""
Multiclass and multilabel classification strategies
===================================================
This module implements multiclass learning algorithms:
- one-vs-the-rest / one-vs-all
- one-vs-one
- error correcting output codes
The estimators provided in this module... | """
Multiclass and multilabel classification strategies
===================================================
This module implements multiclass learning algorithms:
- one-vs-the-rest / one-vs-all
- one-vs-one
- error correcting output codes
The estimators provided in this module are meta-estimators: they re... | en | 0.764568 | Multiclass and multilabel classification strategies =================================================== This module implements multiclass learning algorithms: - one-vs-the-rest / one-vs-all - one-vs-one - error correcting output codes The estimators provided in this module are meta-estimators: they requir... | 3.153011 | 3 |
dffml/cli/dataflow.py | sauravsrijan/dffml | 0 | 6624397 | import sys
import pathlib
import hashlib
import contextlib
from ..base import BaseConfig
from ..df.base import BaseOrchestrator
from ..df.types import DataFlow, Stage, Operation, Input
from ..df.memory import (
MemoryOrchestrator,
MemoryInputSet,
MemoryInputSetConfig,
StringInputSetContext,
)
from ..co... | import sys
import pathlib
import hashlib
import contextlib
from ..base import BaseConfig
from ..df.base import BaseOrchestrator
from ..df.types import DataFlow, Stage, Operation, Input
from ..df.memory import (
MemoryOrchestrator,
MemoryInputSet,
MemoryInputSetConfig,
StringInputSetContext,
)
from ..co... | en | 0.841806 | # The merged dataflow # For entering ConfigLoader contexts # Load config loaders we'll need as we see their file types # Export the dataflow Run dataflow for all repos in sources This method exists so that it can be overriden by RunRepoSet # Orchestrate the running of these operations # Add our inputs to the input netw... | 2.042589 | 2 |
timm/models/dla.py | guitarmind/pytorch-image-models | 80 | 6624398 | """ Deep Layer Aggregation and DLA w/ Res2Net
DLA original adapted from Official Pytorch impl at:
DLA Paper: `Deep Layer Aggregation` - https://arxiv.org/abs/1707.06484
Res2Net additions from: https://github.com/gasvn/Res2Net/
Res2Net Paper: `Res2Net: A New Multi-scale Backbone Architecture` - https://arxiv.org/abs/19... | """ Deep Layer Aggregation and DLA w/ Res2Net
DLA original adapted from Official Pytorch impl at:
DLA Paper: `Deep Layer Aggregation` - https://arxiv.org/abs/1707.06484
Res2Net additions from: https://github.com/gasvn/Res2Net/
Res2Net Paper: `Res2Net: A New Multi-scale Backbone Architecture` - https://arxiv.org/abs/19... | en | 0.748606 | Deep Layer Aggregation and DLA w/ Res2Net DLA original adapted from Official Pytorch impl at: DLA Paper: `Deep Layer Aggregation` - https://arxiv.org/abs/1707.06484 Res2Net additions from: https://github.com/gasvn/Res2Net/ Res2Net Paper: `Res2Net: A New Multi-scale Backbone Architecture` - https://arxiv.org/abs/1904.0... | 2.200943 | 2 |
molecule/f5bigip_gtm_monitor_http/tests/test_default.py | erjac77/ansible-role-f5 | 1 | 6624399 | <filename>molecule/f5bigip_gtm_monitor_http/tests/test_default.py<gh_stars>1-10
from ansible_vault import Vault
from f5.bigip import ManagementRoot
def test_default(host):
vars = host.ansible.get_variables()
vault_pass = open("../../molecule/.vault_pass", "r").read().replace("\n", "")
vault = Vault(vault_... | <filename>molecule/f5bigip_gtm_monitor_http/tests/test_default.py<gh_stars>1-10
from ansible_vault import Vault
from f5.bigip import ManagementRoot
def test_default(host):
vars = host.ansible.get_variables()
vault_pass = open("../../molecule/.vault_pass", "r").read().replace("\n", "")
vault = Vault(vault_... | none | 1 | 2.003715 | 2 | |
hexrd/ui/powder_calibration_dialog.py | psavery/hexrdgui | 0 | 6624400 | <reponame>psavery/hexrdgui<filename>hexrd/ui/powder_calibration_dialog.py<gh_stars>0
from hexrd.ui.hexrd_config import HexrdConfig
from hexrd.ui.ui_loader import UiLoader
class PowderCalibrationDialog:
def __init__(self, parent=None):
loader = UiLoader()
self.ui = loader.load_file('powder_calibra... | from hexrd.ui.hexrd_config import HexrdConfig
from hexrd.ui.ui_loader import UiLoader
class PowderCalibrationDialog:
def __init__(self, parent=None):
loader = UiLoader()
self.ui = loader.load_file('powder_calibration_dialog.ui', parent)
self.update_gui_from_config()
self.setup_co... | none | 1 | 1.998263 | 2 | |
MinorScripts/Sort_Line/Sort_Line.py | Rickodesea/GeneralScripts | 0 | 6624401 | <filename>MinorScripts/Sort_Line/Sort_Line.py
import argparse
import re
def readtext_lines():
with open("text.txt", "r") as f:
return f.readlines();
return ""
def write(name, slist):
with open(name, "w") as f:
for s in slist:
f.write(s + "\n")
def main():
arg = argparse.ArgumentParser(description='Sort Li... | <filename>MinorScripts/Sort_Line/Sort_Line.py
import argparse
import re
def readtext_lines():
with open("text.txt", "r") as f:
return f.readlines();
return ""
def write(name, slist):
with open(name, "w") as f:
for s in slist:
f.write(s + "\n")
def main():
arg = argparse.ArgumentParser(description='Sort Li... | none | 1 | 3.804686 | 4 | |
samples/cli/accelbyte_py_sdk_cli/platform/_public_get_category.py | AccelByte/accelbyte-python-sdk | 0 | 6624402 | # Copyright (c) 2021 AccelByte Inc. All Rights Reserved.
# This is licensed software from AccelByte Inc, for limitations
# and restrictions contact your company contract manager.
#
# Code generated. DO NOT EDIT!
# template_file: python-cli-command.j2
# justice-platform-service (4.10.0)
# pylint: disable=duplicate-co... | # Copyright (c) 2021 AccelByte Inc. All Rights Reserved.
# This is licensed software from AccelByte Inc, for limitations
# and restrictions contact your company contract manager.
#
# Code generated. DO NOT EDIT!
# template_file: python-cli-command.j2
# justice-platform-service (4.10.0)
# pylint: disable=duplicate-co... | en | 0.656805 | # Copyright (c) 2021 AccelByte Inc. All Rights Reserved. # This is licensed software from AccelByte Inc, for limitations # and restrictions contact your company contract manager. # # Code generated. DO NOT EDIT! # template_file: python-cli-command.j2 # justice-platform-service (4.10.0) # pylint: disable=duplicate-code ... | 1.826384 | 2 |
sympy/integrals/integrals.py | skieffer/sympy | 0 | 6624403 | <reponame>skieffer/sympy
from sympy.concrete.expr_with_limits import AddWithLimits
from sympy.core.add import Add
from sympy.core.basic import Basic
from sympy.core.compatibility import is_sequence
from sympy.core.containers import Tuple
from sympy.core.expr import Expr
from sympy.core.function import diff
from sympy.c... | from sympy.concrete.expr_with_limits import AddWithLimits
from sympy.core.add import Add
from sympy.core.basic import Basic
from sympy.core.compatibility import is_sequence
from sympy.core.containers import Tuple
from sympy.core.expr import Expr
from sympy.core.function import diff
from sympy.core.logic import fuzzy_bo... | en | 0.819471 | Represents unevaluated integral. Create an unevaluated integral. Explanation =========== Arguments are an integrand followed by one or more limits. If no limits are given and there is only one free symbol in the expression, that symbol will be used, otherwise an error will be ... | 1.896061 | 2 |
tests/providers/http/operators/test_http.py | gtossou/airflow | 2 | 6624404 | #
# 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... | #
# 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... | en | 0.836834 | # # 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... | 2.274054 | 2 |
jupyter_notebook_config.py | DigiKlausur/e2x-nbtools | 0 | 6624405 | <gh_stars>0
from e2x_nbtools.contents.filecheckpoints import E2XFileCheckpoints
c = get_config()
c.ContentsManager.checkpoints_class = E2XFileCheckpoints
c.ContentsManager.checkpoints_class.number_of_checkpoints = 3
| from e2x_nbtools.contents.filecheckpoints import E2XFileCheckpoints
c = get_config()
c.ContentsManager.checkpoints_class = E2XFileCheckpoints
c.ContentsManager.checkpoints_class.number_of_checkpoints = 3 | none | 1 | 1.244221 | 1 | |
example.py | elebow/confuse | 257 | 6624406 | #!/usr/bin/env python
import example
example.main()
| #!/usr/bin/env python
import example
example.main()
| ru | 0.26433 | #!/usr/bin/env python | 1.277698 | 1 |
testsuite/utils/callinfo.py | itrofimow/yandex-taxi-testsuite | 0 | 6624407 | <filename>testsuite/utils/callinfo.py
import asyncio
import inspect
import typing
class BaseError(Exception):
"""Base exception class for this module."""
class CallQueueError(BaseError):
pass
class CallQueueEmptyError(CallQueueError):
"""Call queue is empty error."""
class CallQueueTimeoutError(Call... | <filename>testsuite/utils/callinfo.py
import asyncio
import inspect
import typing
class BaseError(Exception):
"""Base exception class for this module."""
class CallQueueError(BaseError):
pass
class CallQueueEmptyError(CallQueueError):
"""Call queue is empty error."""
class CallQueueTimeoutError(Call... | en | 0.72873 | Base exception class for this module. Call queue is empty error. Timed out while waiting for call. Function wrapper that puts information about function call into async queue. This class provides methods to wait/check function underlying function calls. Call underlying function. Clear call queue. Returns `... | 2.678311 | 3 |
Tutorial/playon_fem/plotFEMDomain.py | kazulagi/plantfem_min | 21 | 6624408 | <reponame>kazulagi/plantfem_min
import json
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
json_file = open('domain.json', 'r')
json_object = json.load(json_file)
# メッシュオブジェクト中の節点座標配列を取り出す
nodcoord = np.array(json_object["mesh"]["NodCoord"])
# 以下、matplotlibで描画
#x軸とy軸にラベル付... | import json
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
json_file = open('domain.json', 'r')
json_object = json.load(json_file)
# メッシュオブジェクト中の節点座標配列を取り出す
nodcoord = np.array(json_object["mesh"]["NodCoord"])
# 以下、matplotlibで描画
#x軸とy軸にラベル付け
fig = plt.figure()
ax = Axes3D... | ja | 0.986686 | # メッシュオブジェクト中の節点座標配列を取り出す # 以下、matplotlibで描画 #x軸とy軸にラベル付け # 節点を描画 # 図を表示 | 2.880128 | 3 |
pypi-tools/examples/example-package/tests/test.py | strangeworks/cloud-builders-community | 0 | 6624409 | from myPackage import somePython
def test_fahrToKelv():
'''
make sure freezing is calculated correctly
'''
assert somePython.fahrToKelv(32) == 273.15, 'incorrect freezing point!'
| from myPackage import somePython
def test_fahrToKelv():
'''
make sure freezing is calculated correctly
'''
assert somePython.fahrToKelv(32) == 273.15, 'incorrect freezing point!'
| en | 0.971626 | make sure freezing is calculated correctly | 2.555982 | 3 |
pyroomacoustics/denoise/spectral_subtraction.py | HemaZ/pyroomacoustics | 1 | 6624410 | <reponame>HemaZ/pyroomacoustics
# Single Channel Noise Removal using Spectral Subtraction
# Copyright (C) 2019 <NAME>, <NAME>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restri... | # Single Channel Noise Removal using Spectral Subtraction
# Copyright (C) 2019 <NAME>, <NAME>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitat... | en | 0.778641 | # Single Channel Noise Removal using Spectral Subtraction # Copyright (C) 2019 <NAME>, <NAME> # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitat... | 2.237237 | 2 |
Tools/scripts/patchcheck.py | jaswdr/cpython | 1 | 6624411 | #!/usr/bin/env python3
"""Check proposed changes for common issues."""
import re
import sys
import shutil
import os.path
import subprocess
import sysconfig
import reindent
import untabify
# Excluded directories which are copies of external libraries:
# don't check their coding style
EXCLUDE_DIRS = [os.path.join('Mod... | #!/usr/bin/env python3
"""Check proposed changes for common issues."""
import re
import sys
import shutil
import os.path
import subprocess
import sysconfig
import reindent
import untabify
# Excluded directories which are copies of external libraries:
# don't check their coding style
EXCLUDE_DIRS = [os.path.join('Mod... | en | 0.842187 | #!/usr/bin/env python3 Check proposed changes for common issues. # Excluded directories which are copies of external libraries: # don't check their coding style Return 'N file(s)' with the proper plurality on 'file'. Decorator to output status info to stdout. Get the symbolic name for the current git branch Get the rem... | 2.119668 | 2 |
apps/simple_history.py | kevingduck/transmission | 19 | 6624412 | <gh_stars>10-100
"""
Copyright 2019 ShipChain, Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in... | """
Copyright 2019 ShipChain, Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, softwar... | en | 0.831746 | Copyright 2019 ShipChain, Inc. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software di... | 1.764202 | 2 |
fdia_simulation/tests/filters/test_filters_ta.py | QDucasse/FDIA_simulation | 7 | 6624413 | <gh_stars>1-10
# -*- coding: utf-8 -*-
"""
Created on Mon Jul 22 09:19:36 2019
@author: qde
"""
import unittest
import numpy as np
from pprint import pprint
from copy import deepcopy
from math import sqrt,atan2, exp
from nose.tools import raises
from numpy.linalg ... | # -*- coding: utf-8 -*-
"""
Created on Mon Jul 22 09:19:36 2019
@author: qde
"""
import unittest
import numpy as np
from pprint import pprint
from copy import deepcopy
from math import sqrt,atan2, exp
from nose.tools import raises
from numpy.linalg import ... | en | 0.436819 | # -*- coding: utf-8 -*- Created on Mon Jul 22 09:19:36 2019 @author: qde # ========================================================================== # ========================= Initialization tests =========================== # ========================================================================== # =============... | 2.291819 | 2 |
gas/outside_solution.py | corbinmcneill/codejam | 0 | 6624414 | #!/usr/bin/env python3
# Round 1C 2012
import sys
from fractions import Fraction
from math import sqrt
line = sys.stdin.readline()
fields = line.split()
assert len(fields) == 1
ntc = int(fields[0])
def solve(d, a, other_car):
wait_time = Fraction(0)
first = True
for time, distance in other_car:
i... | #!/usr/bin/env python3
# Round 1C 2012
import sys
from fractions import Fraction
from math import sqrt
line = sys.stdin.readline()
fields = line.split()
assert len(fields) == 1
ntc = int(fields[0])
def solve(d, a, other_car):
wait_time = Fraction(0)
first = True
for time, distance in other_car:
i... | en | 0.175623 | #!/usr/bin/env python3 # Round 1C 2012 #{0}:'.format(tc)) | 3.663368 | 4 |
01_syntax/09_set.py | amamov/Pythonic | 2 | 6624415 | #### set : 데이터의 중복이 없고 순서가 없다. 데이터의 중복을 확인할때 주로 많이 사용하는 자료형이다.
#### 순서(X), 중복(X), 수정(O), 삭제(O)
"""
교집합 연산 : & ex) set1 & set2
합집합 연산 : | ex) set1 | set2
차집합 연산 : -
"""
my_set_1 = set((1, 2, 3))
my_set_2 = set((3, 4, 5))
print(my_set_1) # {1, 2, 3}
print(my_set_1 & my_set_2) # {3}
print(my_set_1 | my_set_2) # ... | #### set : 데이터의 중복이 없고 순서가 없다. 데이터의 중복을 확인할때 주로 많이 사용하는 자료형이다.
#### 순서(X), 중복(X), 수정(O), 삭제(O)
"""
교집합 연산 : & ex) set1 & set2
합집합 연산 : | ex) set1 | set2
차집합 연산 : -
"""
my_set_1 = set((1, 2, 3))
my_set_2 = set((3, 4, 5))
print(my_set_1) # {1, 2, 3}
print(my_set_1 & my_set_2) # {3}
print(my_set_1 | my_set_2) # ... | ko | 0.997709 | #### set : 데이터의 중복이 없고 순서가 없다. 데이터의 중복을 확인할때 주로 많이 사용하는 자료형이다. #### 순서(X), 중복(X), 수정(O), 삭제(O) 교집합 연산 : & ex) set1 & set2 합집합 연산 : | ex) set1 | set2 차집합 연산 : - # {1, 2, 3} # {3} # {1, 2, 3, 4, 5} # {1, 2} # 추가 # {18, 1, 2, 3} # 제거 # {1, 2, 3} | 4.185008 | 4 |
hello-strongbox-pypi/setup.py | BjoernAkAManf/strongbox-examples | 0 | 6624416 | <filename>hello-strongbox-pypi/setup.py<gh_stars>0
from setuptools import setup
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name="hello-world-pypi",
packages = ['hello-world-pypi'],
license='Apache 2.0',
version="1.0.0",
author="<NAME>",
author_email="<EMAIL>",
... | <filename>hello-strongbox-pypi/setup.py<gh_stars>0
from setuptools import setup
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name="hello-world-pypi",
packages = ['hello-world-pypi'],
license='Apache 2.0',
version="1.0.0",
author="<NAME>",
author_email="<EMAIL>",
... | none | 1 | 1.845983 | 2 | |
volview/slice_widget.py | cmbruns/volview | 0 | 6624417 | import math
from PySide6 import QtCore, QtGui, QtWidgets
from PySide6.QtCore import Qt
class SliceWidget(QtWidgets.QWidget):
"""
Canvas widget showing 2D slice of volume rendering stuff.
"""
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.eye_im... | import math
from PySide6 import QtCore, QtGui, QtWidgets
from PySide6.QtCore import Qt
class SliceWidget(QtWidgets.QWidget):
"""
Canvas widget showing 2D slice of volume rendering stuff.
"""
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.eye_im... | en | 0.608695 | Canvas widget showing 2D slice of volume rendering stuff. # enable hover for mouseMoveEvent # print(self.angle) # print("paintEvent") # view ray # picture of eye | 2.731307 | 3 |
setup.py | lrq3000/fdict | 8 | 6624418 | <reponame>lrq3000/fdict
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
import sys
from subprocess import check_call
from io import open as io_open
# For Makefile parsing
import shlex
try: # pragma: no cover
im... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
import sys
from subprocess import check_call
from io import open as io_open
# For Makefile parsing
import shlex
try: # pragma: no cover
import ConfigParser
im... | en | 0.794776 | #!/usr/bin/env python # -*- coding: utf-8 -*- # For Makefile parsing # pragma: no cover # pragma: no cover # Makefile auxiliary functions # Parse a makefile to find commands and substitute variables. Expects a makefile with only aliases and a line return between each command. Returns a dict, with a list of com... | 2.188389 | 2 |
tools/wraptypes/preprocessor.py | regular/pyglet-avbin-optimizations | 2 | 6624419 | #!/usr/bin/env python
'''Preprocess a C source file.
Limitations:
* Whitespace is not preserved.
* # and ## operators not handled.
Reference is C99:
* http://www.open-std.org/JTC1/SC22/WG14/www/docs/n1124.pdf
* Also understands Objective-C #import directive
* Also understands GNU #include_next
'''
__doc... | #!/usr/bin/env python
'''Preprocess a C source file.
Limitations:
* Whitespace is not preserved.
* # and ## operators not handled.
Reference is C99:
* http://www.open-std.org/JTC1/SC22/WG14/www/docs/n1124.pdf
* Also understands Objective-C #import directive
* Also understands GNU #include_next
'''
__doc... | en | 0.470174 | #!/usr/bin/env python Preprocess a C source file. Limitations: * Whitespace is not preserved. * # and ## operators not handled. Reference is C99: * http://www.open-std.org/JTC1/SC22/WG14/www/docs/n1124.pdf * Also understands Objective-C #import directive * Also understands GNU #include_next # Helper: subst... | 1.915795 | 2 |
q3/q3/bootstrap/tests/benSAP1/cpu_D_latch_8bitreg_ei_test.py | virtimus/makaronLab | 2 | 6624420 | from q3.api import *
import q3.bootstrap.tests.benSAP1.common as cmn
import q3.bootstrap.tests.benSAP1.cpu_D_latch_8bitreg_ei as reg8bit
if __name__ == '__main__':
modv = modvAdd('testtt1')
m =modv.module()
m1 = reg8bit.makeDlatch8bitregEI('cpu-D-latch-8bitreg-ei1',m)
m2 = reg8bit.makeDlatch8bitregEI... | from q3.api import *
import q3.bootstrap.tests.benSAP1.common as cmn
import q3.bootstrap.tests.benSAP1.cpu_D_latch_8bitreg_ei as reg8bit
if __name__ == '__main__':
modv = modvAdd('testtt1')
m =modv.module()
m1 = reg8bit.makeDlatch8bitregEI('cpu-D-latch-8bitreg-ei1',m)
m2 = reg8bit.makeDlatch8bitregEI... | zh | 0.097471 | #mod('cpu-D-latch-8bitreg-ei1').n('8O').setIntSignalAsDrive() | 1.798779 | 2 |
deeprobust/image/netmodels/train_model.py | CrownX/DeepRobust | 3 | 6624421 | """
This function help to train model of different archtecture easily. Select model archtecture and training data, then output corresponding model.
"""
from __future__ import print_function
import os
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F #233
import torch.optim as optim
fro... | """
This function help to train model of different archtecture easily. Select model archtecture and training data, then output corresponding model.
"""
from __future__ import print_function
import os
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F #233
import torch.optim as optim
fro... | en | 0.288343 | This function help to train model of different archtecture easily. Select model archtecture and training data, then output corresponding model. #233 train. Parameters ---------- model : model(option:'CNN', 'ResNet18', 'ResNet34', 'ResNet50', 'densenet', 'vgg11', 'vgg13', 'vgg16', 'vgg19') data ... | 3.114006 | 3 |
World/Object/Unit/Constants/NPCFlags.py | sundayz/idewave-core | 10 | 6624422 | <reponame>sundayz/idewave-core
from enum import Enum
class NPCFlags(Enum):
NONE = 0
GOSSIP = 1
QUESTGIVER = 2
VENDOR = 4
FLIGHTMASTER = 8
TRAINER = 16
SPIRITHEALER = 32
SPIRITGUIDE = 64
INNKEEPER ... | from enum import Enum
class NPCFlags(Enum):
NONE = 0
GOSSIP = 1
QUESTGIVER = 2
VENDOR = 4
FLIGHTMASTER = 8
TRAINER = 16
SPIRITHEALER = 32
SPIRITGUIDE = 64
INNKEEPER = 128
BANKER ... | none | 1 | 1.782918 | 2 | |
Calculadora de IMC.py | wobegone/Calculadora_de_IMC | 0 | 6624423 | <reponame>wobegone/Calculadora_de_IMC
peso = int(input('¿Cuál es tu peso?(en kg): '))
altura = int(input('¿Cuál es tu altura?(en cm): '))
altura2 = altura / 100
imc = peso / ((altura2) ** 2)
total = round(imc,2)
print('Tu índice de masa corporal es '+str(total))
#incluido
if total >= 18 and total < 25:
print('Tu I... | peso = int(input('¿Cuál es tu peso?(en kg): '))
altura = int(input('¿Cuál es tu altura?(en cm): '))
altura2 = altura / 100
imc = peso / ((altura2) ** 2)
total = round(imc,2)
print('Tu índice de masa corporal es '+str(total))
#incluido
if total >= 18 and total < 25:
print('Tu IBM está normal')
elif total >= 25:
... | none | 1 | 3.723524 | 4 | |
parsl/monitoring/visualization/plots/default/workflow_resource_plots.py | aquanauts/parsl | 0 | 6624424 | <reponame>aquanauts/parsl
import math
import numpy as np
import pandas as pd
import plotly.graph_objs as go
from plotly.offline import plot
def resource_distribution_plot(df_resources, df_task, type='psutil_process_time_user', label='CPU Time Distribution', option='avg', columns=20,):
# E.g., psutil_process_time_... | import math
import numpy as np
import pandas as pd
import plotly.graph_objs as go
from plotly.offline import plot
def resource_distribution_plot(df_resources, df_task, type='psutil_process_time_user', label='CPU Time Distribution', option='avg', columns=20,):
# E.g., psutil_process_time_user or psutil_process_mem... | en | 0.874965 | # E.g., psutil_process_time_user or psutil_process_memory_percent # skip tasks with no running start time. | 2.697743 | 3 |
ucsmsdk/mometa/trig/TrigLocalAbsWindow.py | anoop1984/python_sdk | 0 | 6624425 | <reponame>anoop1984/python_sdk
"""This module contains the general information for TrigLocalAbsWindow ManagedObject."""
import sys, os
from ...ucsmo import ManagedObject
from ...ucscoremeta import UcsVersion, MoPropertyMeta, MoMeta
from ...ucsmeta import VersionMeta
class TrigLocalAbsWindowConsts():
CONCUR_CAP_U... | """This module contains the general information for TrigLocalAbsWindow ManagedObject."""
import sys, os
from ...ucsmo import ManagedObject
from ...ucscoremeta import UcsVersion, MoPropertyMeta, MoMeta
from ...ucsmeta import VersionMeta
class TrigLocalAbsWindowConsts():
CONCUR_CAP_UNLIMITED = "unlimited"
PROC... | en | 0.350234 | This module contains the general information for TrigLocalAbsWindow ManagedObject. This is TrigLocalAbsWindow class. ((deleteAll|ignore|deleteNonPresent),){0,2}(deleteAll|ignore|deleteNonPresent){0,1} ([0-9]){4}-([0-9]){2}-([0-9]){2}T([0-9]){2}:([0-9]){2}:([0-9]){2}((\.([0-9]){3})){0,1} [\-\.:_a-zA-Z0-9]{0,16} [0-9]+:(... | 1.909034 | 2 |
python/ray/tests/test_memstat.py | dsctt/ray | 1 | 6624426 | import numpy as np
import os
import time
import pytest
import ray
from ray.cluster_utils import Cluster, cluster_not_supported
from ray.internal.internal_api import memory_summary
# RayConfig to enable recording call sites during ObjectRej creations.
ray_config = {"record_ref_creation_sites": True}
# Unique strings.... | import numpy as np
import os
import time
import pytest
import ray
from ray.cluster_utils import Cluster, cluster_not_supported
from ray.internal.internal_api import memory_summary
# RayConfig to enable recording call sites during ObjectRej creations.
ray_config = {"record_ref_creation_sites": True}
# Unique strings.... | en | 0.778435 | # RayConfig to enable recording call sites during ObjectRej creations. # Unique strings. # Reference status. # Call sites. # Only 22 characters can be matched because longer strings are wrapped around. # Group by and sort by parameters. # Task argument plus task return ids. # Note, the actor will always hold a handle t... | 2.225714 | 2 |
core/completion.py | gnprice/oil | 0 | 6624427 | #!/usr/bin/env python
# Copyright 2016 <NAME>. 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
"""
completion.py - Tab comp... | #!/usr/bin/env python
# Copyright 2016 <NAME>. 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
"""
completion.py - Tab comp... | en | 0.870563 | #!/usr/bin/env python # Copyright 2016 <NAME>. 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 completion.py - Tab completi... | 1.854989 | 2 |
monai/transforms/spatial/dictionary.py | ajabri/MONAI | 1 | 6624428 | <filename>monai/transforms/spatial/dictionary.py<gh_stars>1-10
# Copyright 2020 - 2021 MONAI Consortium
# 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/LICE... | <filename>monai/transforms/spatial/dictionary.py<gh_stars>1-10
# Copyright 2020 - 2021 MONAI Consortium
# 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/LICE... | en | 0.651416 | # Copyright 2020 - 2021 MONAI Consortium # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agreed to in wri... | 1.524124 | 2 |
habitat_baselines/rl/ppo/policy.py | tommyz94/objectnav | 0 | 6624429 | <reponame>tommyz94/objectnav
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import abc
from typing import Dict
import numpy as np
from gym import spaces
import torch
f... | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import abc
from typing import Dict
import numpy as np
from gym import spaces
import torch
from torch import nn as nn
fro... | en | 0.768273 | #!/usr/bin/env python3 # Copyright (c) Facebook, Inc. and its affiliates. # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. Sequential, but with annotation for JIT compatibility in forwarding of dict # copied from sequential # The following confi... | 2.235401 | 2 |
filu/apps.py | pythonmentor/teiva-p11 | 0 | 6624430 | <filename>filu/apps.py
from django.apps import AppConfig
class FiluConfig(AppConfig):
name = "filu"
| <filename>filu/apps.py
from django.apps import AppConfig
class FiluConfig(AppConfig):
name = "filu"
| none | 1 | 1.305364 | 1 | |
dripy/survey.py | bthornton191/drilling | 0 | 6624431 | <reponame>bthornton191/drilling<gh_stars>0
import pandas
from numpy import arange
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from thornpy import plotting
class SurveyData():
"""Stores data from a well survey.
Parameters
----------
filename : str
Filename of ra... | import pandas
from numpy import arange
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from thornpy import plotting
class SurveyData():
"""Stores data from a well survey.
Parameters
----------
filename : str
Filename of raw survey data file. Can be in excel format... | en | 0.513307 | Stores data from a well survey. Parameters ---------- filename : str Filename of raw survey data file. Can be in excel format or csv format. vendor : str Vendor that produced the file. This determines the expected format of the file. For options see the keys of :attr:`VENDOR_SETT... | 3.040629 | 3 |
djangoserver/server/logic/graph/test_example.py | simonneuville/runamic_server | 1 | 6624432 | from django.test import TestCase
from server.logic.graph.graph import Graph
from server.logic.graph.poison import PoisonedGraph
class TestExample(TestCase):
"""
Example of how to use this graph library
Please read this carefully if you're going to work with it.
"""
"""
While this e... | from django.test import TestCase
from server.logic.graph.graph import Graph
from server.logic.graph.poison import PoisonedGraph
class TestExample(TestCase):
"""
Example of how to use this graph library
Please read this carefully if you're going to work with it.
"""
"""
While this e... | en | 0.955293 | Example of how to use this graph library Please read this carefully if you're going to work with it. While this example is still useful in understanding how the graph works, the example itself does not work anymore, since the ffi boundary screwed dynamic graph entries. Check the Rust tes... | 2.862687 | 3 |
library/periphery.py | lompal/USBIPManager | 24 | 6624433 | <filename>library/periphery.py
from library import bar, compatibility, config, ini, lang, log, queue
from os import path
from json import load
from threading import Thread, Event
from asyncio import get_event_loop, sleep
from PyQt5.QtCore import Qt
from PyQt5.QtGui import QIcon
from PyQt5.QtWidgets import QLabel, QWid... | <filename>library/periphery.py
from library import bar, compatibility, config, ini, lang, log, queue
from os import path
from json import load
from threading import Thread, Event
from asyncio import get_event_loop, sleep
from PyQt5.QtCore import Qt
from PyQt5.QtGui import QIcon
from PyQt5.QtWidgets import QLabel, QWid... | en | 0.666954 | # noinspection PyPep8Naming, PyMethodMayBeStatic Base class for periphery manager Function template for separator instance Peripheral action separator - generator Global peripheral action separator - dummy function to resolve reference issue Local peripheral action separator - dummy function to resolve reference issue ... | 2.236718 | 2 |
main_seq2seq.py | saparina/SeaRNN-open | 47 | 6624434 | import argparse
import random
from itertools import chain
import numpy as np
import torch.backends.cudnn
import optimization
import train
from datasets.conll import ConllDataset
from datasets.nmt import NmtDataset
from datasets.ocr import OcrDataset
from evaluation.logging_utils import restore_from_checkpoint
from mo... | import argparse
import random
from itertools import chain
import numpy as np
import torch.backends.cudnn
import optimization
import train
from datasets.conll import ConllDataset
from datasets.nmt import NmtDataset
from datasets.ocr import OcrDataset
from evaluation.logging_utils import restore_from_checkpoint
from mo... | en | 0.612064 | Entry point. # dataset # CONLL specific settings # model # training approach # labels sampling # optimization # parameters of the schedule to anneal learning rate # logging # misc # set this to use faster convolutions # print all the options # random seed # load the dataset # function to init params # encoder # decoder... | 2.168174 | 2 |
libs/util/decorators.py | chicosilva/csms | 0 | 6624435 | <gh_stars>0
# coding=utf-8
def threaded(func):
from threading import Thread
from functools import wraps
@wraps(func)
def async_func(*args, **kwargs):
func_hl = Thread(target = func, args = args, kwargs = kwargs)
func_hl.start()
return func_hl
return async_func | # coding=utf-8
def threaded(func):
from threading import Thread
from functools import wraps
@wraps(func)
def async_func(*args, **kwargs):
func_hl = Thread(target = func, args = args, kwargs = kwargs)
func_hl.start()
return func_hl
return async_func | en | 0.644078 | # coding=utf-8 | 2.954667 | 3 |
HSM/utils/db.py | 18F/10x-MLaaS | 13 | 6624436 | <filename>HSM/utils/db.py
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, JSON, Integer, String, ForeignKey
from sqlalchemy.orm import relationship, sessionmaker
from utils.config import SQLALCHEMY_URI
Base = declarative_base()
class DataAcc... | <filename>HSM/utils/db.py
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, JSON, Integer, String, ForeignKey
from sqlalchemy.orm import relationship, sessionmaker
from utils.config import SQLALCHEMY_URI
Base = declarative_base()
class DataAcc... | none | 1 | 2.506149 | 3 | |
EigVal.py | OceanNuclear/Statistics | 0 | 6624437 | <reponame>OceanNuclear/Statistics<gh_stars>0
import numpy as np
import matplotlib.pyplot as plt
import numpy.random as rn
from numpy import array as ary
from numpy import sqrt
from numpy.linalg import svd, eig, eigvals, inv, pinv
def set_offdiag(mat, triu, inplace=True):
'''sets the off-diagonal elements o... | import numpy as np
import matplotlib.pyplot as plt
import numpy.random as rn
from numpy import array as ary
from numpy import sqrt
from numpy.linalg import svd, eig, eigvals, inv, pinv
def set_offdiag(mat, triu, inplace=True):
'''sets the off-diagonal elements of a symmetric matrix when the top triangle's ... | en | 0.672509 | sets the off-diagonal elements of a symmetric matrix when the top triangle's values are given. # equal aspect ratio | 2.888093 | 3 |
PaddleCV/rcnn/infer.py | XiaoguangHu01/models | 4 | 6624438 | <reponame>XiaoguangHu01/models<gh_stars>1-10
# Copyright (c) 2018 PaddlePaddle 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/li... | # Copyright (c) 2018 PaddlePaddle 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 app... | en | 0.851415 | # Copyright (c) 2018 PaddlePaddle 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 app... | 2.019158 | 2 |
test/io_tests/tunnel_test.py | gr0vity-dev/xknx | 0 | 6624439 | """Unit test for KNX/IP Tunnelling Request/Response."""
import asyncio
from unittest.mock import AsyncMock, Mock, patch
import pytest
from xknx import XKNX
from xknx.dpt import DPTArray
from xknx.io import Tunnel
from xknx.knxip import (
HPAI,
CEMIFrame,
ConnectRequest,
ConnectResponse,
DisconnectR... | """Unit test for KNX/IP Tunnelling Request/Response."""
import asyncio
from unittest.mock import AsyncMock, Mock, patch
import pytest
from xknx import XKNX
from xknx.dpt import DPTArray
from xknx.io import Tunnel
from xknx.knxip import (
HPAI,
CEMIFrame,
ConnectRequest,
ConnectResponse,
DisconnectR... | en | 0.691568 | Unit test for KNX/IP Tunnelling Request/Response. Test class for xknx/io/Tunnel objects. Set up test class. # pylint: disable=attribute-defined-outside-init Test Tunnel for calling send_ack on normal frames. # LDataInd GroupValueWrite from 1.1.22 to to 5/1/22 with DPT9 payload 0C 3F # communication_channel_id: 0x02 s... | 2.38469 | 2 |
Example_Reddit_Bot2_Crosspost.py | Roibal/Reddit-Twitter-Social-Media-Bots | 15 | 6624440 | """
The purpose of this bot is to repost high-quality content to various subreddits
"""
import praw
import time
import random
#Create Bot1 with login and private key - username - password
bot1 = praw.Reddit(user_agent='crosspost_bot1 v0.1', client_id='', client_secret='',
username='', password='')
... | """
The purpose of this bot is to repost high-quality content to various subreddits
"""
import praw
import time
import random
#Create Bot1 with login and private key - username - password
bot1 = praw.Reddit(user_agent='crosspost_bot1 v0.1', client_id='', client_secret='',
username='', password='')
... | en | 0.904268 | The purpose of this bot is to repost high-quality content to various subreddits #Create Bot1 with login and private key - username - password #Create List of topics to search for (cryptocurrency) #Create List of Subreddits to post content from #Create List of crossposted titles #Time in seconds to pause between crosspo... | 3.250826 | 3 |
resizeimage/apps.py | gilvanti/resize_image | 0 | 6624441 | from django.apps import AppConfig
class ResizeimageConfig(AppConfig):
name = 'resizeimage'
| from django.apps import AppConfig
class ResizeimageConfig(AppConfig):
name = 'resizeimage'
| none | 1 | 1.170072 | 1 | |
partname_resolver/units/capacitanceTolerance.py | sakoPO/partname-resolver | 0 | 6624442 | <reponame>sakoPO/partname-resolver
from decimal import Decimal
from .range_base import RangeBase
from partname_resolver.units.capacitance import Capacitance
class Tolerance(RangeBase):
def __init__(self, tolerance_min, tolerance_max=None):
if tolerance_max is None:
if tolerance_min.find('%') !... | from decimal import Decimal
from .range_base import RangeBase
from partname_resolver.units.capacitance import Capacitance
class Tolerance(RangeBase):
def __init__(self, tolerance_min, tolerance_max=None):
if tolerance_max is None:
if tolerance_min.find('%') != -1:
self.is_relat... | none | 1 | 2.850926 | 3 | |
sale_order_payment_mode/__manifest__.py | odooerpdevelopers/odoo14-addons | 1 | 6624443 | <filename>sale_order_payment_mode/__manifest__.py
# -*- coding: utf-8 -*-
{
'name': "Modo de pago en Sale Order",
'summary': """
Modulo de prueba para el curso de Odoo 14
""",
'description': """
Modulo de prueba para el curso de Odoo 14
""",
'author': "<NAME>",
'website... | <filename>sale_order_payment_mode/__manifest__.py
# -*- coding: utf-8 -*-
{
'name': "Modo de pago en Sale Order",
'summary': """
Modulo de prueba para el curso de Odoo 14
""",
'description': """
Modulo de prueba para el curso de Odoo 14
""",
'author': "<NAME>",
'website... | es | 0.843335 | # -*- coding: utf-8 -*- Modulo de prueba para el curso de Odoo 14 Modulo de prueba para el curso de Odoo 14 # always loaded | 0.751588 | 1 |
tests/testunits/testdevices/testadbdevice/testadbdevice.py | rsnakamura/oldape | 0 | 6624444 | from unittest import TestCase
from mock import MagicMock
from nose.tools import raises
from apetools.devices import adbdevice
LOG_MESSAGE = "how now frau cow"
class AdbDeviceTest(TestCase):
def setUp(self):
self.connection = MagicMock()
self.adbdevice = adbdevice.AdbDevice(self.connection)
... | from unittest import TestCase
from mock import MagicMock
from nose.tools import raises
from apetools.devices import adbdevice
LOG_MESSAGE = "how now frau cow"
class AdbDeviceTest(TestCase):
def setUp(self):
self.connection = MagicMock()
self.adbdevice = adbdevice.AdbDevice(self.connection)
... | en | 0.400913 | # end class AdbDeviceTest | 2.695653 | 3 |
pygsp/graphs/nngraphs/bunny.py | jafluri/pygsp | 341 | 6624445 | <gh_stars>100-1000
# -*- coding: utf-8 -*-
from pygsp import utils
from pygsp.graphs import NNGraph # prevent circular import in Python < 3.5
class Bunny(NNGraph):
r"""Stanford bunny (NN-graph).
References
----------
See :cite:`turk1994zippered`.
Examples
--------
>>> import matplotlib... | # -*- coding: utf-8 -*-
from pygsp import utils
from pygsp.graphs import NNGraph # prevent circular import in Python < 3.5
class Bunny(NNGraph):
r"""Stanford bunny (NN-graph).
References
----------
See :cite:`turk1994zippered`.
Examples
--------
>>> import matplotlib.pyplot as plt
... | en | 0.484385 | # -*- coding: utf-8 -*- # prevent circular import in Python < 3.5 Stanford bunny (NN-graph). References ---------- See :cite:`turk1994zippered`. Examples -------- >>> import matplotlib.pyplot as plt >>> G = graphs.Bunny() >>> fig = plt.figure() >>> ax1 = fig.add_subplot(121) >>... | 3.159535 | 3 |
visualization.py | naikshubham/Tensorboard-Visualization | 1 | 6624446 | import os,cv2
import numpy as np
import matplotlib.pyplot as plt
import pickle
import tensorflow as tf
from tensorflow.contrib.tensorboard.plugins import projector
tf.__version__
PATH = 'D:/Projects/tensorboard/tensorboard_printedVshandwritten/'
LOG_DIR = PATH+ 'embedding-logs/'
#metadata = os.path.join(LOG_DIR, 'met... | import os,cv2
import numpy as np
import matplotlib.pyplot as plt
import pickle
import tensorflow as tf
from tensorflow.contrib.tensorboard.plugins import projector
tf.__version__
PATH = 'D:/Projects/tensorboard/tensorboard_printedVshandwritten/'
LOG_DIR = PATH+ 'embedding-logs/'
#metadata = os.path.join(LOG_DIR, 'met... | en | 0.639644 | #metadata = os.path.join(LOG_DIR, 'metadata2.tsv') #%% #with open(metadata, 'w') as metadata_file: # for row in range(210): # c = y[row] # metadata_file.write('{}\n'.format(c)) # num of samples in each class #for i in range(210): # metadata_file.write('%06d\t%s\n' % (i, names[y[i]])) #metadata_file.... | 2.678783 | 3 |
src/luminol/__init__.py | nevinkjohn/luminol | 1,042 | 6624447 | <gh_stars>1000+
# coding=utf-8
"""
© 2015 LinkedIn Corp. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicabl... | # coding=utf-8
"""
© 2015 LinkedIn Corp. 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 applicable law or agreed ... | en | 0.834887 | # coding=utf-8 © 2015 LinkedIn Corp. 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 applicable law or agreed to i... | 2.588281 | 3 |
twitter/oauth.py | igeeker/v2ex | 161 | 6624448 | <gh_stars>100-1000
# coding=utf-8
"""
The MIT License
Copyright (c) 2007 <NAME>
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use... | # coding=utf-8
"""
The MIT License
Copyright (c) 2007 <NAME>
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, mer... | en | 0.67629 | # coding=utf-8 The MIT License Copyright (c) 2007 <NAME> Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, ... | 2.538307 | 3 |
mltk/rl/replay.py | lqf96/mltk | 0 | 6624449 | from typing import Generic, Optional
from mltk.types.gym import Env
import torch as th
from sortedcontainers import SortedList
import mltk.util as mu
from mltk.adt import Deque, RecDeque, RecDequeSchema
from .types import Transition
__all__ = [
"ReplayBuffer"
]
class ReplayBuffer():
def __init__(self, env: ... | from typing import Generic, Optional
from mltk.types.gym import Env
import torch as th
from sortedcontainers import SortedList
import mltk.util as mu
from mltk.adt import Deque, RecDeque, RecDequeSchema
from .types import Transition
__all__ = [
"ReplayBuffer"
]
class ReplayBuffer():
def __init__(self, env: ... | en | 0.837288 | # Data type for observation and action space # Data schema of the replay buffer # type: ignore # Experience buffer # Capacity of the replay buffer is always bounded # Add experience to buffer # Record begin of an episode # Update number of steps # Current replay buffer size # Offset between number of steps and indices ... | 2.070978 | 2 |
bert_e/server/webhook.py | scality/bert-e | 0 | 6624450 | <reponame>scality/bert-e<filename>bert_e/server/webhook.py
# Copyright 2016-2018 Scality
#
# 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
#
#... | # Copyright 2016-2018 Scality
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... | en | 0.780689 | # Copyright 2016-2018 Scality # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,... | 1.916589 | 2 |