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 |
|---|---|---|---|---|---|---|---|---|---|---|
inference/online_inference/src/entities/dataclasses.py | made-ml-in-prod-2021/marina-zav | 0 | 6628351 | <filename>inference/online_inference/src/entities/dataclasses.py
from pydantic import BaseModel, conlist, validator
from typing import List, Union
from src.entities import read_features_params
DEFAULT_FEATURES_CONFIG_PATH = "configs/features_config.yaml"
MODEL_FEATURES = read_features_params(DEFAULT_FEATURES_CONFIG_P... | <filename>inference/online_inference/src/entities/dataclasses.py
from pydantic import BaseModel, conlist, validator
from typing import List, Union
from src.entities import read_features_params
DEFAULT_FEATURES_CONFIG_PATH = "configs/features_config.yaml"
MODEL_FEATURES = read_features_params(DEFAULT_FEATURES_CONFIG_P... | none | 1 | 2.549798 | 3 | |
2019_3_Cooper_Type/RoboFont/simple_interp.py | benkiel/python_workshops | 6 | 6628352 | font = CurrentFont()
ss = """
feature ss%s{
sub %s by %s;
} ss%s;
"""
one = font['a']
two = font['a.2']
print(one.isCompatible(two))
features = ""
for f in range(10):
f = f+1
name = "test."+str(f)
result = font.newGlyph(name)
r = .1*f
print(r)
result.interpolate(f/5,one,two)
... | font = CurrentFont()
ss = """
feature ss%s{
sub %s by %s;
} ss%s;
"""
one = font['a']
two = font['a.2']
print(one.isCompatible(two))
features = ""
for f in range(10):
f = f+1
name = "test."+str(f)
result = font.newGlyph(name)
r = .1*f
print(r)
result.interpolate(f/5,one,two)
... | en | 0.780662 | feature ss%s{ sub %s by %s; } ss%s; | 3.483123 | 3 |
tests/test_checker.py | TestowanieAutomatyczneUG/laboratorium-9-wgulan | 0 | 6628353 | <reponame>TestowanieAutomatyczneUG/laboratorium-9-wgulan
from src.sample.Checker import Checker
from unittest.mock import *
from unittest import TestCase, main
class TestCar(TestCase):
def setUp(self):
self.test_checker = Checker()
def test_checker_play_file_after_17(self):
wav_file = 'file.... | from src.sample.Checker import Checker
from unittest.mock import *
from unittest import TestCase, main
class TestCar(TestCase):
def setUp(self):
self.test_checker = Checker()
def test_checker_play_file_after_17(self):
wav_file = 'file.wav'
# prepare mock
self.test_checker.env... | en | 0.742083 | # prepare mock # testing # prepare mock # testing | 2.891853 | 3 |
examples/loading-img.py | m0rphed/comp-vis-notes | 0 | 6628354 | import cv2
import matplotlib.pyplot as plt
image = cv2.imread('./images/watch.jpg', cv2.IMREAD_GRAYSCALE)
cv2.imshow('picture', image)
cv2.waitKey(0)
cv2.destroyAllWindows()
plt.imshow(image, cmap='gray', interpolation='bicubic')
plt.plot([50, 100], [80, 100], 'c', linewidth=5)
plt.show()
cv2.imwrite('./images/watch... | import cv2
import matplotlib.pyplot as plt
image = cv2.imread('./images/watch.jpg', cv2.IMREAD_GRAYSCALE)
cv2.imshow('picture', image)
cv2.waitKey(0)
cv2.destroyAllWindows()
plt.imshow(image, cmap='gray', interpolation='bicubic')
plt.plot([50, 100], [80, 100], 'c', linewidth=5)
plt.show()
cv2.imwrite('./images/watch... | none | 1 | 3.059597 | 3 | |
oops_fhir/r4/code_system/v3_substitution_condition.py | Mikuana/oops_fhir | 0 | 6628355 | from pathlib import Path
from fhir.resources.codesystem import CodeSystem
from oops_fhir.utils import CodeSystemConcept
__all__ = ["v3SubstitutionCondition"]
_resource = CodeSystem.parse_file(Path(__file__).with_suffix(".json"))
class v3SubstitutionCondition:
"""
v3 Code System SubstitutionCondition
... | from pathlib import Path
from fhir.resources.codesystem import CodeSystem
from oops_fhir.utils import CodeSystemConcept
__all__ = ["v3SubstitutionCondition"]
_resource = CodeSystem.parse_file(Path(__file__).with_suffix(".json"))
class v3SubstitutionCondition:
"""
v3 Code System SubstitutionCondition
... | en | 0.868351 | v3 Code System SubstitutionCondition Identifies what sort of change is permitted or has occurred between the item that was ordered/requested and the one that was/will be provided. Status: active - Version: 2018-08-12 Copyright None http://terminology.hl7.org/CodeSystem/v3-SubstitutionCondition Cond... | 2.265389 | 2 |
silabel/sample.py | wahyubram82/indonesian_syllabelizer | 0 | 6628356 | <filename>silabel/sample.py
test_sample = [
'BSD', 'SMP', 'main', 'april', 'swasta', 'instan', 'dengan', 'pandai', 'makhluk', 'saudara', 'menyapu',
'etiopia', 'masyhur', 'biografi', 'instrumen', 'pengarang', 'reboisasi', 'musyawarah', 'dramatisasi',
'memproklamasikan', 'berkesinambungan', 'mempertanggungjaw... | <filename>silabel/sample.py
test_sample = [
'BSD', 'SMP', 'main', 'april', 'swasta', 'instan', 'dengan', 'pandai', 'makhluk', 'saudara', 'menyapu',
'etiopia', 'masyhur', 'biografi', 'instrumen', 'pengarang', 'reboisasi', 'musyawarah', 'dramatisasi',
'memproklamasikan', 'berkesinambungan', 'mempertanggungjaw... | none | 1 | 1.331142 | 1 | |
run_route_scripts/results/diff_route_stats.py | eric-erki/valhalla | 0 | 6628357 | <reponame>eric-erki/valhalla
#!/usr/bin/env python3
import csv
import argparse
STATS_TO_DIFF = ['#Passes', 'runtime', 'trip time', 'length', '#Manuevers']
def main(old_stats_file, new_stats_file, output_file):
with open(old_stats_file, 'r') as old_file, \
open(new_stats_file, 'r') as new_file, \
... | #!/usr/bin/env python3
import csv
import argparse
STATS_TO_DIFF = ['#Passes', 'runtime', 'trip time', 'length', '#Manuevers']
def main(old_stats_file, new_stats_file, output_file):
with open(old_stats_file, 'r') as old_file, \
open(new_stats_file, 'r') as new_file, \
open(output_file, 'w', n... | en | 0.865417 | #!/usr/bin/env python3 # Store header, stripping any whitespace that might be present # Skip header row in the second csv # Collect indexes of cols we're going to generate diff stats of and # generate fieldnames for stats diff # each field generates the following field names in the diff: # - <field name>_old # - <field... | 3.36944 | 3 |
py/moma/models/end_effectors/wrist_sensors/robotiq_fts300.py | wx-b/dm_robotics | 128 | 6628358 | # Copyright 2020 DeepMind Technologies Limited.
#
# 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 ag... | # Copyright 2020 DeepMind Technologies Limited.
#
# 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 ag... | en | 0.848661 | # Copyright 2020 DeepMind Technologies Limited. # # 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 ag... | 1.934058 | 2 |
pipeline/contrib/external_plugins/tests/utils/importer/test_base.py | ZhuoZhuoCrayon/bk-nodeman | 31 | 6628359 | <gh_stars>10-100
# -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community
Edition) available.
Copyright (C) 2017-2019 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this ... | # -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community
Edition) available.
Copyright (C) 2017-2019 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in co... | en | 0.861578 | # -*- coding: utf-8 -*- Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community Edition) available. Copyright (C) 2017-2019 THL A29 Limited, a Tencent company. All rights reserved. Licensed under the MIT License (the "License"); you may not use this file except in compli... | 1.908101 | 2 |
scp/plugins/user/paste.py | ALiwoto/SCP-5170 | 2 | 6628360 | from scp import user
import aiofiles
import os
__PLUGIN__ = 'paste'
__DOC__ = str(
user.md.KanTeXDocument(
user.md.Section(
'Paste Utility',
user.md.SubSection(
'paste',
user.md.Code('(*prefix)paste {content}'),
),
),
),
)
@... | from scp import user
import aiofiles
import os
__PLUGIN__ = 'paste'
__DOC__ = str(
user.md.KanTeXDocument(
user.md.Section(
'Paste Utility',
user.md.SubSection(
'paste',
user.md.Code('(*prefix)paste {content}'),
),
),
),
)
@... | none | 1 | 2.455572 | 2 | |
lista3/Q42.py | AlexandrePeBrito/Python | 0 | 6628361 | <reponame>AlexandrePeBrito/Python
#Faça um programa que leia uma quantidade indeterminada de números positivos e conte
#quantos deles estão nos seguintes intervalos: [0-25], [26-50], [51-75] e [76-100]. A entrada de
#dados deverá terminar quando for lido um número negativo.
num=int(input("Informe um numero: "))
numero... | #Faça um programa que leia uma quantidade indeterminada de números positivos e conte
#quantos deles estão nos seguintes intervalos: [0-25], [26-50], [51-75] e [76-100]. A entrada de
#dados deverá terminar quando for lido um número negativo.
num=int(input("Informe um numero: "))
numeros=[]
cl1=0
cl2=0
cl3=0
cl4=0
#clas... | pt | 0.869158 | #Faça um programa que leia uma quantidade indeterminada de números positivos e conte #quantos deles estão nos seguintes intervalos: [0-25], [26-50], [51-75] e [76-100]. A entrada de #dados deverá terminar quando for lido um número negativo. #clas[0]=[0-25] #clas[1]=[26-50] #clas[2]=[51-75] #clas[3]=[76-100] | 3.819633 | 4 |
tests/utils/test_concurrent.py | fpacifici/snuba | 0 | 6628362 | import threading
import time
import pytest
from concurrent.futures import TimeoutError
from snuba.utils.concurrent import Synchronized, execute
def test_execute() -> None:
assert execute(threading.current_thread).result() != threading.current_thread()
with pytest.raises(ZeroDivisionError):
assert e... | import threading
import time
import pytest
from concurrent.futures import TimeoutError
from snuba.utils.concurrent import Synchronized, execute
def test_execute() -> None:
assert execute(threading.current_thread).result() != threading.current_thread()
with pytest.raises(ZeroDivisionError):
assert e... | none | 1 | 2.321411 | 2 | |
ambari-common/src/main/python/resource_management/core/providers/system.py | nexr/ambari | 1 | 6628363 | #!/usr/bin/env python
"""
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");... | #!/usr/bin/env python
"""
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");... | en | 0.853581 | #!/usr/bin/env python 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... | 1.801901 | 2 |
twisted/names/test/test_dns.py | linxuping/twisted | 3 | 6628364 | <reponame>linxuping/twisted
# test-case-name: twisted.names.test.test_dns
# Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
"""
Tests for twisted.names.dns.
"""
from __future__ import division, absolute_import
from io import BytesIO
import struct
from zope.interface.verify import verifyClass
... | # test-case-name: twisted.names.test.test_dns
# Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
"""
Tests for twisted.names.dns.
"""
from __future__ import division, absolute_import
from io import BytesIO
import struct
from zope.interface.verify import verifyClass
from twisted.python.failure... | en | 0.701337 | # test-case-name: twisted.names.test.test_dns # Copyright (c) Twisted Matrix Laboratories. # See LICENSE for details. Tests for twisted.names.dns. Tests for L{dns._ord2bytes}. L{dns._ord2byte} accepts an integer and returns a byte string of length one with an ordinal value equal to the given integer. Tests for ... | 2.593453 | 3 |
launcher.py | MrForg3t/sourcecodetrm | 0 | 6628365 | from platform import system
from os import system as cmd
from os import path
from time import sleep
def launcherMain():
try:
if system() == "Windows":
if path.exists("checkfileint.exe"):
cmd("checkfileint.exe")
if path.exists("uuid_g... | from platform import system
from os import system as cmd
from os import path
from time import sleep
def launcherMain():
try:
if system() == "Windows":
if path.exists("checkfileint.exe"):
cmd("checkfileint.exe")
if path.exists("uuid_g... | none | 1 | 3.046436 | 3 | |
county_avg_sat.py | Statistica/pennsylvania-education | 0 | 6628366 | # Written by <NAME>, released April 11th, 2016 for Statisti.ca
# Released under the MIT License (https://opensource.org/licenses/MIT)
from __future__ import division
import csv, requests, re, collections, plotly.plotly as plotly, plotly.graph_objs as go
from plotly.graph_objs import Scatter, Layout
schools=[]
with o... | # Written by <NAME>, released April 11th, 2016 for Statisti.ca
# Released under the MIT License (https://opensource.org/licenses/MIT)
from __future__ import division
import csv, requests, re, collections, plotly.plotly as plotly, plotly.graph_objs as go
from plotly.graph_objs import Scatter, Layout
schools=[]
with o... | en | 0.850772 | # Written by <NAME>, released April 11th, 2016 for Statisti.ca # Released under the MIT License (https://opensource.org/licenses/MIT) #add all of the schools to the 'schools' list #pa_schools.csv from: http://www.edna.ed.state.pa.us/Screens/Extracts/wfExtractPublicSchools.aspx #skip header row #row[0] is the aun, row[5... | 2.860035 | 3 |
pypika/tests/test_formats.py | YiuRULE/pypika | 1,616 | 6628367 | <reponame>YiuRULE/pypika
import unittest
from pypika import Query, Tables, functions as fn
class QuoteTests(unittest.TestCase):
maxDiff = None
table_abc, table_efg = Tables("abc", "efg")
def setUp(self):
subquery1 = (
Query.from_(self.table_abc)
.select(
... | import unittest
from pypika import Query, Tables, functions as fn
class QuoteTests(unittest.TestCase):
maxDiff = None
table_abc, table_efg = Tables("abc", "efg")
def setUp(self):
subquery1 = (
Query.from_(self.table_abc)
.select(
self.table_abc.foo,
... | none | 1 | 2.758606 | 3 | |
djangobb_forum/tests/test_templatetags.py | dwminer/s2forums | 2 | 6628368 | # -*- coding: utf-8 -*-
from django.test import TestCase
from django.contrib.auth.models import User
from djangobb_forum.models import Post
from djangobb_forum.templatetags.forum_extras import profile_link, link, mobile_link
class TestLinkTags(TestCase):
fixtures = ['test_forum.json']
def setUp(self):
... | # -*- coding: utf-8 -*-
from django.test import TestCase
from django.contrib.auth.models import User
from djangobb_forum.models import Post
from djangobb_forum.templatetags.forum_extras import profile_link, link, mobile_link
class TestLinkTags(TestCase):
fixtures = ['test_forum.json']
def setUp(self):
... | en | 0.769321 | # -*- coding: utf-8 -*- | 2.444294 | 2 |
task_5/scripts/spawning_test.py | Shobuj-Paul/Strawberry-Stacker | 0 | 6628369 | #!/usr/bin/env python3
import rospy
import rospkg
from gazebo_msgs.msg import ModelState
from gazebo_msgs.srv import SetModelState
from std_msgs.msg import UInt8
import pandas as pd
box_count_in_row = [0]*15
max_box_per_row = 10
rand = [-0.15, 0.44, 0.04, -0.84, -0.66, -0.1, 0.04, 0.46, -0.54, 0.19, 0.64, 0.32, -0.1... | #!/usr/bin/env python3
import rospy
import rospkg
from gazebo_msgs.msg import ModelState
from gazebo_msgs.srv import SetModelState
from std_msgs.msg import UInt8
import pandas as pd
box_count_in_row = [0]*15
max_box_per_row = 10
rand = [-0.15, 0.44, 0.04, -0.84, -0.66, -0.1, 0.04, 0.46, -0.54, 0.19, 0.64, 0.32, -0.1... | fr | 0.221828 | #!/usr/bin/env python3 | 2.202159 | 2 |
mammoth_snowplow/launch/include/realsense/rs_launch.py | iscumd/Yeti2020 | 1 | 6628370 | <reponame>iscumd/Yeti2020<filename>mammoth_snowplow/launch/include/realsense/rs_launch.py
# Copyright (c) 2018 Intel Corporation
#
# 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:/... | # Copyright (c) 2018 Intel Corporation
#
# 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... | en | 0.833147 | # Copyright (c) 2018 Intel Corporation # # 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... | 1.713069 | 2 |
lldb/test/API/tools/lldb-vscode/runInTerminal/TestVSCode_runInTerminal.py | hanzhan1/llvm | 305 | 6628371 | <gh_stars>100-1000
"""
Test lldb-vscode runInTerminal reverse request
"""
import unittest2
import vscode
from lldbsuite.test.decorators import *
from lldbsuite.test.lldbtest import *
from lldbsuite.test import lldbutil
import lldbvscode_testcase
import time
import os
class TestVSCode_runInTerminal(lldbvscode_testca... | """
Test lldb-vscode runInTerminal reverse request
"""
import unittest2
import vscode
from lldbsuite.test.decorators import *
from lldbsuite.test.lldbtest import *
from lldbsuite.test import lldbutil
import lldbvscode_testcase
import time
import os
class TestVSCode_runInTerminal(lldbvscode_testcase.VSCodeTestCaseBa... | en | 0.928397 | Test lldb-vscode runInTerminal reverse request Tests the "runInTerminal" reverse request. It makes sure that the IDE can launch the inferior with the correct environment variables and arguments. # We verify we actually stopped inside the loop # We verify we were able to set the launch arguments # We verify ... | 2.695549 | 3 |
ambari-server/src/test/python/TestCheckHost.py | vsosrc/ambari | 0 | 6628372 | # !/usr/bin/env python
'''
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"... | # !/usr/bin/env python
'''
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"... | en | 0.89078 | # !/usr/bin/env python 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"); yo... | 1.9034 | 2 |
Sudoku_py/Sudoku.py | yuryybk/opencv-basic-samples | 0 | 6628373 | <filename>Sudoku_py/Sudoku.py
import cv2, numpy as np
import sys
def get_new(old):
new = np.ones(old.shape, np.uint8)
cv2.bitwise_not(new,new)
return new
if __name__ == '__main__':
img = cv2.imread(sys.argv[1])
img = cv2.GaussianBlur(img,(5,5),0)
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
... | <filename>Sudoku_py/Sudoku.py
import cv2, numpy as np
import sys
def get_new(old):
new = np.ones(old.shape, np.uint8)
cv2.bitwise_not(new,new)
return new
if __name__ == '__main__':
img = cv2.imread(sys.argv[1])
img = cv2.GaussianBlur(img,(5,5),0)
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
... | none | 1 | 2.797687 | 3 | |
src/models/mobilenetv2.py | JoseLuisRojasAranda/tfmodels | 1 | 6628374 | <filename>src/models/mobilenetv2.py<gh_stars>1-10
import tensorflow as tf
from tensorflow.keras import Model, Sequential
from tensorflow.keras import layers
from models.ops.conv_ops import normal_conv, ReLU6, pointwise_conv
from models.ops.conv_blocks import BottleneckResidualBlock, basic_conv_block
from models.ops.con... | <filename>src/models/mobilenetv2.py<gh_stars>1-10
import tensorflow as tf
from tensorflow.keras import Model, Sequential
from tensorflow.keras import layers
from models.ops.conv_ops import normal_conv, ReLU6, pointwise_conv
from models.ops.conv_blocks import BottleneckResidualBlock, basic_conv_block
from models.ops.con... | es | 0.692676 | # # Implementacion de MobilenetV2, suponiendo un input size de 224x224x3 # # Solo el primer bloque tiene stride 2 # a partir del segundo bottleneck el numero de input_channels es igual al output_channels # los bloques de bottleneck intermedios # ultima convolucion # Average Pooling y Fully Connected # # Args: # class... | 2.608841 | 3 |
test/augmenters/test_blur.py | HubukiNinten/imgaug | 0 | 6628375 | from __future__ import print_function, division, absolute_import
import warnings
import sys
import itertools
# unittest only added in 3.4 self.subTest()
if sys.version_info[0] < 3 or sys.version_info[1] < 4:
import unittest2 as unittest
else:
import unittest
# unittest.mock is not available in 2.7 (though unit... | from __future__ import print_function, division, absolute_import
import warnings
import sys
import itertools
# unittest only added in 3.4 self.subTest()
if sys.version_info[0] < 3 or sys.version_info[1] < 4:
import unittest2 as unittest
else:
import unittest
# unittest.mock is not available in 2.7 (though unit... | en | 0.70988 | # unittest only added in 3.4 self.subTest() # unittest.mock is not available in 2.7 (though unittest2 might contain it?) # fix execution of tests involving matplotlib on travis # note that self.assertWarningRegex does not exist in python 2.7 # bool # uint, int # float # prototype kernel, generated via: # mask = np.zero... | 2.261842 | 2 |
5.SequentialDataProcessing/AdvancedRNN/model.py | sdhnshu/HandsOnDeepLearningWithPytorch | 87 | 6628376 | <filename>5.SequentialDataProcessing/AdvancedRNN/model.py
import torch
import torch.nn as nn
class Encoder(nn.Module):
def __init__(self, config):
super(Encoder, self).__init__()
self.config = config
if config.type == 'LSTM':
self.rnn = nn.LSTM(input_size=config.embed_dim, hid... | <filename>5.SequentialDataProcessing/AdvancedRNN/model.py
import torch
import torch.nn as nn
class Encoder(nn.Module):
def __init__(self, config):
super(Encoder, self).__init__()
self.config = config
if config.type == 'LSTM':
self.rnn = nn.LSTM(input_size=config.embed_dim, hid... | none | 1 | 2.689804 | 3 | |
arkane/outputTest.py | pm15ma/RMG-Py | 4 | 6628377 | <reponame>pm15ma/RMG-Py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
###############################################################################
# #
# RMG - Reaction Mechanism Generator #
# ... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
###############################################################################
# #
# RMG - Reaction Mechanism Generator #
# ... | en | 0.545296 | #!/usr/bin/env python3 # -*- coding: utf-8 -*- ############################################################################### # # # RMG - Reaction Mechanism Generator # # ... | 1.492736 | 1 |
tests/integrations/conftest.py | vincenthcui/sentry-python | 0 | 6628378 | import pytest
import sentry_sdk
@pytest.fixture
def capture_exceptions(monkeypatch):
def inner():
errors = set()
old_capture_event = sentry_sdk.Hub.current.capture_event
def capture_event(event, hint=None):
if hint:
if "exc_info" in hint:
er... | import pytest
import sentry_sdk
@pytest.fixture
def capture_exceptions(monkeypatch):
def inner():
errors = set()
old_capture_event = sentry_sdk.Hub.current.capture_event
def capture_event(event, hint=None):
if hint:
if "exc_info" in hint:
er... | none | 1 | 2.064346 | 2 | |
attributes_and_methods/project_hotel/test.py | ivan-yosifov88/python_oop | 1 | 6628379 | from project_hotel.hotel import Hotel
from project_hotel.room import Room
hotel = Hotel.from_stars(5)
first_room = Room(1, 3)
second_room = Room(2, 2)
third_room = Room(3, 1)
hotel.add_room(first_room)
hotel.add_room(second_room)
hotel.add_room(third_room)
hotel.take_room(1, 4)
hotel.take_room(1, 2)
hotel.take_roo... | from project_hotel.hotel import Hotel
from project_hotel.room import Room
hotel = Hotel.from_stars(5)
first_room = Room(1, 3)
second_room = Room(2, 2)
third_room = Room(3, 1)
hotel.add_room(first_room)
hotel.add_room(second_room)
hotel.add_room(third_room)
hotel.take_room(1, 4)
hotel.take_room(1, 2)
hotel.take_roo... | none | 1 | 2.356933 | 2 | |
PyHEADTAIL/gpu/gpu_utils.py | fsoubelet/PyHEADTAIL | 0 | 6628380 | '''
GPU Utils
Memory pool, ...
This could also be the place to store the context, device, streams, etc...
The module is automatically a singleton
@author <NAME>
'''
use_streams = False
import atexit
from itertools import cycle
try:
import pycuda.tools
import pycuda.driver as drv
import pycuda.elementwise... | '''
GPU Utils
Memory pool, ...
This could also be the place to store the context, device, streams, etc...
The module is automatically a singleton
@author <NAME>
'''
use_streams = False
import atexit
from itertools import cycle
try:
import pycuda.tools
import pycuda.driver as drv
import pycuda.elementwise... | en | 0.349854 | GPU Utils Memory pool, ... This could also be the place to store the context, device, streams, etc... The module is automatically a singleton @author <NAME> #the error pycuda throws if no context initialized # print ('No context initialized. Please import pycuda.autoinit at the ' # 'beginning of your script if y... | 2.619119 | 3 |
esxi_cert_tool/vsanapiutils.py | cleeistaken/esxi_certtool | 0 | 6628381 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Copyright 2016-2019 VMware, Inc. All rights reserved.
This module defines basic helper functions used in the sample codes
"""
__author__ = 'VMware, Inc'
import sys
import ssl
if (sys.version_info[0] == 3):
from urllib.request import urlopen
else:
from urll... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Copyright 2016-2019 VMware, Inc. All rights reserved.
This module defines basic helper functions used in the sample codes
"""
__author__ = 'VMware, Inc'
import sys
import ssl
if (sys.version_info[0] == 3):
from urllib.request import urlopen
else:
from urll... | en | 0.804106 | #!/usr/bin/env python # -*- coding: utf-8 -*- Copyright 2016-2019 VMware, Inc. All rights reserved. This module defines basic helper functions used in the sample codes # Import the vSAN API python bindings # Construct a stub for vSAN API access using vCenter or ESXi sessions from # existing stubs. Corresponding vCent... | 2.150734 | 2 |
setup.py | yashu-seth/dummyPy | 21 | 6628382 | from distutils.core import setup
setup(
name = 'dummyPy',
packages = ['dummyPy'],
version = 'v0.3',
description = 'A python module to transform categorical variables to one hot encoded vectors.\
It can handle categorical variables of a dataset that cannot be fit into memory.\
I... | from distutils.core import setup
setup(
name = 'dummyPy',
packages = ['dummyPy'],
version = 'v0.3',
description = 'A python module to transform categorical variables to one hot encoded vectors.\
It can handle categorical variables of a dataset that cannot be fit into memory.\
I... | none | 1 | 2.00196 | 2 | |
lti/__init__.py | claudevervoort/ltiautotest | 7 | 6628383 | <reponame>claudevervoort/ltiautotest<gh_stars>1-10
from .ltiregistration import ToolRegistration, registration, get_platform_config, register_tool, base_tool_oidc_conf, get_tool_configuration, verify_11_oauth, add_coursenav_message
from .jwks import get_public_keyset, get_publickey_pem
from .gen_model import *
from .c... | from .ltiregistration import ToolRegistration, registration, get_platform_config, register_tool, base_tool_oidc_conf, get_tool_configuration, verify_11_oauth, add_coursenav_message
from .jwks import get_public_keyset, get_publickey_pem
from .gen_model import *
from .const import const
from .services import * | none | 1 | 1.073163 | 1 | |
main.py | LuisMayo/meme-ocr | 37 | 6628384 | #!/usr/bin/env python3
import sys
from memeocr import MemeOCR
def main(argv):
if len(argv) != 2:
print('usage:')
print(' ./main.py meme-file-name')
return
meme_fname = argv[1]
ocr = MemeOCR()
txt = ocr.recognize(meme_fname)
print(txt)
if __name__ == '__main__':
mai... | #!/usr/bin/env python3
import sys
from memeocr import MemeOCR
def main(argv):
if len(argv) != 2:
print('usage:')
print(' ./main.py meme-file-name')
return
meme_fname = argv[1]
ocr = MemeOCR()
txt = ocr.recognize(meme_fname)
print(txt)
if __name__ == '__main__':
mai... | fr | 0.221828 | #!/usr/bin/env python3 | 2.178931 | 2 |
assignments/11-tictactoe/test.py | mattmiller899/biosys-analytics | 4 | 6628385 | #!/usr/bin/env python3
"""tests for outcome.py"""
from subprocess import getstatusoutput, getoutput
from random import shuffle, sample
import os.path
import re
outcome = './outcome.py'
def usage(prg):
"""usage"""
(retval, out) = getstatusoutput(prg)
assert retval > 0
assert re.match("usage", out, r... | #!/usr/bin/env python3
"""tests for outcome.py"""
from subprocess import getstatusoutput, getoutput
from random import shuffle, sample
import os.path
import re
outcome = './outcome.py'
def usage(prg):
"""usage"""
(retval, out) = getstatusoutput(prg)
assert retval > 0
assert re.match("usage", out, r... | en | 0.367496 | #!/usr/bin/env python3 tests for outcome.py usage outcome usage fails on bad input bad input outcome bad input | 2.627655 | 3 |
isin.py | nbeguier/financial-tools | 1 | 6628386 | <reponame>nbeguier/financial-tools
#!/usr/bin/env python3
"""
ISIN
Copyright (c) 2020-2021 <NAME>
Licensed under the MIT License
Written by <NAME> (<EMAIL>)
"""
# Standard library imports
from argparse import ArgumentParser
import sys
# Own library
import lib.common as common
import lib.display as display
import lib... | #!/usr/bin/env python3
"""
ISIN
Copyright (c) 2020-2021 <NAME>
Licensed under the MIT License
Written by <NAME> (<EMAIL>)
"""
# Standard library imports
from argparse import ArgumentParser
import sys
# Own library
import lib.common as common
import lib.display as display
import lib.reporting as reporting
# Debug
# ... | en | 0.709749 | #!/usr/bin/env python3 ISIN Copyright (c) 2020-2021 <NAME> Licensed under the MIT License Written by <NAME> (<EMAIL>) # Standard library imports # Own library # Debug # from pdb import set_trace as st Main function | 2.547672 | 3 |
pyjob/task.py | fsimkovic/pyjob | 8 | 6628387 | import abc
import logging
import os
import time
from pyjob import cexec, config
from pyjob.exception import (
PyJobError,
PyJobExecutableNotFoundError,
PyJobTaskLockedError,
)
from pyjob.script import ScriptCollector
logger = logging.getLogger(__name__)
class Task(abc.ABC):
"""Abstract base class fo... | import abc
import logging
import os
import time
from pyjob import cexec, config
from pyjob.exception import (
PyJobError,
PyJobExecutableNotFoundError,
PyJobTaskLockedError,
)
from pyjob.script import ScriptCollector
logger = logging.getLogger(__name__)
class Task(abc.ABC):
"""Abstract base class fo... | en | 0.637583 | Abstract base class for executable tasks Instantiate a new :obj:`~pyjob.task.Task` Parameters ---------- script : :obj:`~pyjob.script.ScriptCollector`, :obj:`~pyjob.script.Script`, str, list, tuple A :obj:`str`, :obj:`list` or :obj:`tuple` of one or more script paths Exit function at... | 2.271107 | 2 |
skimpy/core/modifiers.py | EPFL-LCSB/skimpy | 13 | 6628388 | <reponame>EPFL-LCSB/skimpy<filename>skimpy/core/modifiers.py
# -*- coding: utf-8 -*-
"""
.. module:: skimpy
:platform: Unix, Windows
:synopsis: Simple Kinetic Models in Python
.. moduleauthor:: SKiMPy team
[---------]
Copyright 2017 Laboratory of Computational Systems Biotechnology (LCSB),
Ecole Pol... | # -*- coding: utf-8 -*-
"""
.. module:: skimpy
:platform: Unix, Windows
:synopsis: Simple Kinetic Models in Python
.. moduleauthor:: SKiMPy team
[---------]
Copyright 2017 Laboratory of Computational Systems Biotechnology (LCSB),
Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland
Licens... | en | 0.750933 | # -*- coding: utf-8 -*- .. module:: skimpy
:platform: Unix, Windows
:synopsis: Simple Kinetic Models in Python
.. moduleauthor:: SKiMPy team
[---------]
Copyright 2017 Laboratory of Computational Systems Biotechnology (LCSB),
Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland
Licensed und... | 2.821651 | 3 |
release/scripts/addons/amaranth/render/samples_scene.py | simileV/blenderStereo29 | 1 | 6628389 | <reponame>simileV/blenderStereo29
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed i... | # This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,... | en | 0.839831 | # This program is free software; you can redistribute it and/or # modify it under the terms of the GNU General Public License # as published by the Free Software Foundation; either version 2 # of the License, or (at your option) any later version. # # This program is distributed in the hope that it will be useful,... | 1.984185 | 2 |
Nested_Lists.py | richapatil/Hackerrank-python | 1 | 6628390 | <reponame>richapatil/Hackerrank-python
if __name__ == '__main__':
students=[] #Creating a list for storing Students with their marks
for _ in range(int(input())):
name = input() #taking names of student
score = float(input()) #take score of each student
students.append... | if __name__ == '__main__':
students=[] #Creating a list for storing Students with their marks
for _ in range(int(input())):
name = input() #taking names of student
score = float(input()) #take score of each student
students.append((name,score)) #appending the name... | en | 0.881504 | #Creating a list for storing Students with their marks #taking names of student #take score of each student #appending the name and score of students one by one #A #B #For printing the second student #Step by step explaination of A and # B # A : second_lowest=sorted(list(set([x[1] for x in students])))[1] # [x[1] for... | 4.292332 | 4 |
thingsboard_gateway/connectors/mqtt/json_mqtt_uplink_converter.py | DavideBorsatti/thingsboard-gateway | 0 | 6628391 | <reponame>DavideBorsatti/thingsboard-gateway
# Copyright 2022. ThingsBoard
#
# 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... | # Copyright 2022. ThingsBoard
#
# 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 ... | en | 0.842097 | # Copyright 2022. ThingsBoard # # 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 ... | 1.903666 | 2 |
export_histogram.py | greplova/MachineLearning | 1 | 6628392 | <filename>export_histogram.py
import tensorflow as tf
import numpy as np
import glob, os
# This is the path where the model is saved
# it can be a relative path, if script is in the same folder that contain the model data
inpath = 'sparse_model_batches_noisy/'
#####################################
#First we export ... | <filename>export_histogram.py
import tensorflow as tf
import numpy as np
import glob, os
# This is the path where the model is saved
# it can be a relative path, if script is in the same folder that contain the model data
inpath = 'sparse_model_batches_noisy/'
#####################################
#First we export ... | en | 0.708237 | # This is the path where the model is saved # it can be a relative path, if script is in the same folder that contain the model data ##################################### #First we export the evaluation data# ##################################### # First we create a list to save the steps with data # First loop is over... | 2.530294 | 3 |
Lib/site-packages/wx-2.8-msw-unicode/wx/lib/agw/labelbook.py | ekkipermana/robotframework-test | 11 | 6628393 | # --------------------------------------------------------------------------- #
# LABELBOOK And FLATIMAGEBOOK Widgets wxPython IMPLEMENTATION
#
# Original C++ Code From Eran, embedded in the FlatMenu source code
#
#
# License: wxWidgets license
#
#
# Python Code By:
#
# <NAME>, @ 03 Nov 2006
# Latest Revision: 17 Jan 2... | # --------------------------------------------------------------------------- #
# LABELBOOK And FLATIMAGEBOOK Widgets wxPython IMPLEMENTATION
#
# Original C++ Code From Eran, embedded in the FlatMenu source code
#
#
# License: wxWidgets license
#
#
# Python Code By:
#
# <NAME>, @ 03 Nov 2006
# Latest Revision: 17 Jan 2... | en | 0.61068 | # --------------------------------------------------------------------------- # # LABELBOOK And FLATIMAGEBOOK Widgets wxPython IMPLEMENTATION # # Original C++ Code From Eran, embedded in the FlatMenu source code # # # License: wxWidgets license # # # Python Code By: # # <NAME>, @ 03 Nov 2006 # Latest Revision: 17 Jan 2... | 1.937288 | 2 |
newnnfw/externals/nnapi_test_generator/tests/P_full/addfloat.mod.py | kosslab-kr/Tizen-NN-Framework | 8 | 6628394 | <reponame>kosslab-kr/Tizen-NN-Framework
# model
model = Model()
i1 = Input("op1", "TENSOR_FLOAT32", "{2}") # a vector of 2 float32s
i2 = Input("op2", "TENSOR_FLOAT32", "{2}") # another vector of 2 float32s
b0 = Int32Scalar("b0", 0) # an int32_t scalar bias
i3 = Output("op3", "TENSOR_FLOAT32", "{2}")
model = model.Opera... | # model
model = Model()
i1 = Input("op1", "TENSOR_FLOAT32", "{2}") # a vector of 2 float32s
i2 = Input("op2", "TENSOR_FLOAT32", "{2}") # another vector of 2 float32s
b0 = Int32Scalar("b0", 0) # an int32_t scalar bias
i3 = Output("op3", "TENSOR_FLOAT32", "{2}")
model = model.Operation("ADD", i1, i2, b0).To(i3)
# Exampl... | en | 0.606322 | # model # a vector of 2 float32s # another vector of 2 float32s # an int32_t scalar bias # Example 1. Input in operand 0, # input 0 # input 1 # output 0 # Instantiate an example | 3.215554 | 3 |
{{cookiecutter.project_slug}}/_/frameworks/Django/application/settings.py | ruxi/cookiecutter-ruxi-ds | 0 | 6628395 | <filename>{{cookiecutter.project_slug}}/_/frameworks/Django/application/settings.py
"""
Django settings for application project.
"""
from os.path import abspath, dirname, join
from environ import Env
env = Env() # pylint: disable=invalid-name
ENVIRONMENT = env('ENVIRONMENT', default='local')
REVISION = env('REVISION... | <filename>{{cookiecutter.project_slug}}/_/frameworks/Django/application/settings.py
"""
Django settings for application project.
"""
from os.path import abspath, dirname, join
from environ import Env
env = Env() # pylint: disable=invalid-name
ENVIRONMENT = env('ENVIRONMENT', default='local')
REVISION = env('REVISION... | en | 0.574124 | Django settings for application project. # pylint: disable=invalid-name # Application definition # Database # Password validation # Internationalization # Static files (CSS, JavaScript, Images) | 1.793303 | 2 |
care/facility/migrations/0092_recompute_facility_types.py | gigincg/care | 189 | 6628396 | <reponame>gigincg/care
# Generated by Django 2.2.11 on 2020-04-15 07:53
from django.db import migrations, transaction
OLD_TO_NEW_FACILITY_TYPE_MAP_LABS = {
850: 950,
}
OLD_TO_NEW_FACILITY_TYPE_MAP_GOVT_HOSPITALS = {
200: 800,
201: 801,
202: 802,
203: 803,
220: 820,
230: 830,
231: 831,... | # Generated by Django 2.2.11 on 2020-04-15 07:53
from django.db import migrations, transaction
OLD_TO_NEW_FACILITY_TYPE_MAP_LABS = {
850: 950,
}
OLD_TO_NEW_FACILITY_TYPE_MAP_GOVT_HOSPITALS = {
200: 800,
201: 801,
202: 802,
203: 803,
220: 820,
230: 830,
231: 831,
240: 840,
250:... | en | 0.698888 | # Generated by Django 2.2.11 on 2020-04-15 07:53 | 1.988702 | 2 |
mmdet3d/datasets/sunrgbd_dataset.py | maskjp/mmdetection3d | 1 | 6628397 | # Copyright (c) OpenMMLab. All rights reserved.
from collections import OrderedDict
from os import path as osp
import numpy as np
from mmdet3d.core import show_multi_modality_result, show_result
from mmdet3d.core.bbox import DepthInstance3DBoxes
from mmdet.core import eval_map
from mmdet.datasets import DATASETS
from... | # Copyright (c) OpenMMLab. All rights reserved.
from collections import OrderedDict
from os import path as osp
import numpy as np
from mmdet3d.core import show_multi_modality_result, show_result
from mmdet3d.core.bbox import DepthInstance3DBoxes
from mmdet.core import eval_map
from mmdet.datasets import DATASETS
from... | en | 0.64992 | # Copyright (c) OpenMMLab. All rights reserved. SUNRGBD Dataset. This class serves as the API for experiments on the SUNRGBD Dataset. See the `download page <http://rgbd.cs.princeton.edu/challenge.html>`_ for data downloading. Args: data_root (str): Path of dataset root. ann_file (str... | 2.251451 | 2 |
tests/kyu_8_tests/test_remove_exclamation_marks.py | the-zebulan/CodeWars | 40 | 6628398 | <reponame>the-zebulan/CodeWars<filename>tests/kyu_8_tests/test_remove_exclamation_marks.py
import unittest
from katas.kyu_8.remove_exclamation_marks import remove_exclamation_marks
class RemoveExclamationMarksTestCase(unittest.TestCase):
def test_equal_1(self):
self.assertEqual(remove_exclamation_marks('... | import unittest
from katas.kyu_8.remove_exclamation_marks import remove_exclamation_marks
class RemoveExclamationMarksTestCase(unittest.TestCase):
def test_equal_1(self):
self.assertEqual(remove_exclamation_marks('Hello World!'),
'Hello World')
def test_equal_2(self):
... | none | 1 | 3.707176 | 4 | |
Server/SendKeys.py | And0r-/RaspBox3000 | 0 | 6628399 | #socket_echo_client.py
import socket
import sys
import kb_map
import keyboard
import time
NULL_CHAR = chr(0)
release_key = (NULL_CHAR*8).encode()
# Create a TCP/IP socket
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock2 = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
# Connect the socket to the p... | #socket_echo_client.py
import socket
import sys
import kb_map
import keyboard
import time
NULL_CHAR = chr(0)
release_key = (NULL_CHAR*8).encode()
# Create a TCP/IP socket
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock2 = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
# Connect the socket to the p... | en | 0.688585 | #socket_echo_client.py # Create a TCP/IP socket # Connect the socket to the port where the server is listening # Send data # Look for the response | 3.038043 | 3 |
tests/test_sugar.py | DeJona/busypie | 13 | 6628400 | from busypie import given, wait, ONE_SECOND, wait_at_most, MILLISECOND
def test_start_with_given():
assert given() == wait()
assert given().wait().at_most(ONE_SECOND) == wait().at_most(ONE_SECOND)
def test_combine_wait_and_at_most():
assert wait().at_most(ONE_SECOND) == wait_at_most(ONE_SECOND)
asse... | from busypie import given, wait, ONE_SECOND, wait_at_most, MILLISECOND
def test_start_with_given():
assert given() == wait()
assert given().wait().at_most(ONE_SECOND) == wait().at_most(ONE_SECOND)
def test_combine_wait_and_at_most():
assert wait().at_most(ONE_SECOND) == wait_at_most(ONE_SECOND)
asse... | none | 1 | 2.89507 | 3 | |
tests/test_function_call_assignment.py | PseuToPy/PseuToPy | 6 | 6628401 | <gh_stars>1-10
from tests.utils import check_ast
class TestFunctionCallAssignment:
def test_function_call_assignment_input(self, pseutopy):
pseudo_str = "set a to the result of input (\"Hello\", myVar)"
python_str = "a = input(\"Hello\", myVar)"
assert check_ast(pseutopy, python_str, pseud... | from tests.utils import check_ast
class TestFunctionCallAssignment:
def test_function_call_assignment_input(self, pseutopy):
pseudo_str = "set a to the result of input (\"Hello\", myVar)"
python_str = "a = input(\"Hello\", myVar)"
assert check_ast(pseutopy, python_str, pseudo_str)
def... | en | 0.279852 | set a to the result of call function foo with parameter 10 set b to the result of call function bar with parameters 0, 10 set c to the result of call function foobar with parameter myVar set d to the result of call function fizzbuzz with parameters var1, var2 set e to the result of call ... | 3.296861 | 3 |
projects/tests.py | Waithera-m/project_rater | 0 | 6628402 | <gh_stars>0
from django.test import TestCase
from .models import Profile, Tags, Project, Votes
from django.contrib.auth.models import User
import factory
from django.db.models import signals
# Create your tests here.
class ProfileModelTests(TestCase):
"""
class supports the creation of tests to test model beha... | from django.test import TestCase
from .models import Profile, Tags, Project, Votes
from django.contrib.auth.models import User
import factory
from django.db.models import signals
# Create your tests here.
class ProfileModelTests(TestCase):
"""
class supports the creation of tests to test model behavior
"""... | en | 0.821812 | # Create your tests here. class supports the creation of tests to test model behavior method defines the object to be created and instructions to be executed before each test # def tearDown(self): # """ # method returns database to pristine condition after all tests run # """ # Profile.objects.all().del... | 2.684822 | 3 |
chapter_3.py | jeremyn/python-machine-learning-book | 7 | 6628403 | <reponame>jeremyn/python-machine-learning-book
# Copyright <NAME>.
# Released under the MIT license. See included LICENSE.txt.
#
# Almost entirely copied from code created by <NAME> released under
# the MIT license. See included LICENSE.raschka.txt.
import matplotlib.pyplot as plt
import numpy as np
from sklearn.cross_... | # Copyright <NAME>.
# Released under the MIT license. See included LICENSE.txt.
#
# Almost entirely copied from code created by <NAME> released under
# the MIT license. See included LICENSE.raschka.txt.
import matplotlib.pyplot as plt
import numpy as np
from sklearn.cross_validation import train_test_split
from sklearn... | en | 0.388531 | # Copyright <NAME>. # Released under the MIT license. See included LICENSE.txt. # # Almost entirely copied from code created by <NAME> released under # the MIT license. See included LICENSE.raschka.txt. # clf = Perceptron(n_iter=40, eta0=0.1, random_state=0) # clf = LogisticRegression(C=1000.0, random_state=0) # clf = ... | 2.564527 | 3 |
src/third_party/skia/infra/bots/assets/android_ndk_linux/create.py | rhencke/engine | 54 | 6628404 | <filename>src/third_party/skia/infra/bots/assets/android_ndk_linux/create.py
#!/usr/bin/env python
#
# Copyright 2016 Google Inc.
#
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Create the asset."""
import argparse
import glob
import os.path
import shutil
i... | <filename>src/third_party/skia/infra/bots/assets/android_ndk_linux/create.py
#!/usr/bin/env python
#
# Copyright 2016 Google Inc.
#
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Create the asset."""
import argparse
import glob
import os.path
import shutil
i... | en | 0.809237 | #!/usr/bin/env python # # Copyright 2016 Google Inc. # # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. Create the asset. Create the asset. | 2.185386 | 2 |
tflite_tools.py | oxmlsys/tflite-tools | 18 | 6628405 | <gh_stars>10-100
import argparse
import os
from tflite_tools import TFLiteModel
def main():
parser = argparse.ArgumentParser(description='TFLite model analyser & memory optimizer')
parser.add_argument("-i", type=str, dest="input_path", help="input model file (.tflite)")
parser.add_argument("-o", type=st... | import argparse
import os
from tflite_tools import TFLiteModel
def main():
parser = argparse.ArgumentParser(description='TFLite model analyser & memory optimizer')
parser.add_argument("-i", type=str, dest="input_path", help="input model file (.tflite)")
parser.add_argument("-o", type=str, dest="output_p... | none | 1 | 2.931737 | 3 | |
cycy/__init__.py | Magnetic/cycy | 26 | 6628406 | <reponame>Magnetic/cycy
from cycy._version import __version__
| from cycy._version import __version__ | none | 1 | 1.011109 | 1 | |
src/logger.py | hazimavdal/gpurge | 1 | 6628407 | <reponame>hazimavdal/gpurge
import time
DEBUG_LEVEL = 0
INFO_LEVEL = 1
WARNING_LEVEL = 2
ERROR_LEVEL = 3
FATAL_LEVEL = 4
def level_str(level):
if level == 0:
return "DEBUG"
if level == 1:
return "INFO"
if level == 2:
return "WARN"
if level == 3:
return "ERROR"
if l... | import time
DEBUG_LEVEL = 0
INFO_LEVEL = 1
WARNING_LEVEL = 2
ERROR_LEVEL = 3
FATAL_LEVEL = 4
def level_str(level):
if level == 0:
return "DEBUG"
if level == 1:
return "INFO"
if level == 2:
return "WARN"
if level == 3:
return "ERROR"
if level == 4:
return "F... | none | 1 | 3.099941 | 3 | |
VirtualBox-5.0.0/src/VBox/Devices/EFI/Firmware/BaseTools/Source/Python/UPT/Library/String.py | egraba/vbox_openbsd | 1 | 6628408 | <reponame>egraba/vbox_openbsd
## @file
# This file is used to define common string related functions used in parsing
# process
#
# Copyright (c) 2011, Intel Corporation. All rights reserved.<BR>
#
# This program and the accompanying materials are licensed and made available
# under the terms and conditions of the BSD... | ## @file
# This file is used to define common string related functions used in parsing
# process
#
# Copyright (c) 2011, Intel Corporation. All rights reserved.<BR>
#
# This program and the accompanying materials are licensed and made available
# under the terms and conditions of the BSD License which accompanies thi... | en | 0.573198 | ## @file # This file is used to define common string related functions used in parsing # process # # Copyright (c) 2011, Intel Corporation. All rights reserved.<BR> # # This program and the accompanying materials are licensed and made available # under the terms and conditions of the BSD License which accompanies this ... | 2.597574 | 3 |
apps/secure_url/api/tests/tests_secured_entity_access.py | fryta/sercure-url | 0 | 6628409 | from datetime import timedelta
from django.conf import settings
from rest_framework import status
from rest_framework.reverse import reverse
from .tests_base import BaseApiTestCase
from ...models import SecuredEntity
class SecuredEntityAccessApiTest(BaseApiTestCase):
def __finish_create_secured_entity(self):
... | from datetime import timedelta
from django.conf import settings
from rest_framework import status
from rest_framework.reverse import reverse
from .tests_base import BaseApiTestCase
from ...models import SecuredEntity
class SecuredEntityAccessApiTest(BaseApiTestCase):
def __finish_create_secured_entity(self):
... | none | 1 | 2.149061 | 2 | |
submissions/abc130/d.py | m-star18/atcoder | 1 | 6628410 | <reponame>m-star18/atcoder
import bisect
import sys
input = sys.stdin.readline
n, k = map(int, input().split())
a = list(map(int, input().split()))
A = [0]*(n+1)
ans = 0
for i in range(n):
A[i+1] = a[i]+A[i]
for i in range(n):
s = bisect.bisect_left(A, k+A[i])
ans += n+1-s
print(ans)
| import bisect
import sys
input = sys.stdin.readline
n, k = map(int, input().split())
a = list(map(int, input().split()))
A = [0]*(n+1)
ans = 0
for i in range(n):
A[i+1] = a[i]+A[i]
for i in range(n):
s = bisect.bisect_left(A, k+A[i])
ans += n+1-s
print(ans) | none | 1 | 2.770462 | 3 | |
mbuild/lib/moieties/peg.py | daico007/mbuild | 101 | 6628411 | """mBuild polyethylene glycol (PEG) monomer moiety."""
__author__ = "jonestj1"
import mbuild as mb
class PegMonomer(mb.Compound):
"""A monomer of polyethylene glycol (PEG)."""
def __init__(self):
super(PegMonomer, self).__init__()
mb.load(
"peg_monomer.pdb",
compound... | """mBuild polyethylene glycol (PEG) monomer moiety."""
__author__ = "jonestj1"
import mbuild as mb
class PegMonomer(mb.Compound):
"""A monomer of polyethylene glycol (PEG)."""
def __init__(self):
super(PegMonomer, self).__init__()
mb.load(
"peg_monomer.pdb",
compound... | en | 0.38053 | mBuild polyethylene glycol (PEG) monomer moiety. A monomer of polyethylene glycol (PEG). | 2.748107 | 3 |
OpenCV/video_cut.py | Tripleler/Tistory_blog | 0 | 6628412 | import sys
import cv2
cap = cv2.VideoCapture('md.mp4')
if not cap.isOpened():
print("Video open failed!")
sys.exit()
fps = cap.get(cv2.CAP_PROP_FPS)
print('FPS:', fps)
w = round(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
print('Frame width:', w)
h = round(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
print('Frame height:', h)... | import sys
import cv2
cap = cv2.VideoCapture('md.mp4')
if not cap.isOpened():
print("Video open failed!")
sys.exit()
fps = cap.get(cv2.CAP_PROP_FPS)
print('FPS:', fps)
w = round(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
print('Frame width:', w)
h = round(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
print('Frame height:', h)... | en | 0.319214 | # cap = cv2.VideoCapture('Raw.mp4') # out = cv2.VideoWriter('Cut.mp4', cv2.VideoWriter_fourcc(*'mp4v'), fps, (w, h)) # cap.set(cv2.CAP_PROP_POS_FRAMES, 116) # while True: # ret, frame = cap.read() # if not ret: # break # out.write(frame) # # cap.release() # out.release() # cv2.destroyAllWindows() # ... | 2.686834 | 3 |
SAC/models.py | pnnayyeri/Reinforcement-learning | 0 | 6628413 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.distributions import Normal, Uniform
class ValueNetwork(nn.Module):
def __init__(self, input_dim, output_dim, init_w=3e-3):
super(ValueNetwork, self).__init__()
self.fc1 = nn.Linear(input_dim, 256)
self.fc2 = nn... | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.distributions import Normal, Uniform
class ValueNetwork(nn.Module):
def __init__(self, input_dim, output_dim, init_w=3e-3):
super(ValueNetwork, self).__init__()
self.fc1 = nn.Linear(input_dim, 256)
self.fc2 = nn... | none | 1 | 2.69978 | 3 | |
learning/codesearcher.py | linzeqipku/drm_codesearch | 0 | 6628414 | from __future__ import absolute_import
import os
import numpy as np
import re
import torch
import torch.optim as optim
from torch.utils.data import DataLoader
from tqdm import tqdm
from learning.model.rnn import RnnModel
from preprocess.dataset import CodeSearchDataset
from preprocess.lex.token import Tokenizer
from ... | from __future__ import absolute_import
import os
import numpy as np
import re
import torch
import torch.optim as optim
from torch.utils.data import DataLoader
from tqdm import tqdm
from learning.model.rnn import RnnModel
from preprocess.dataset import CodeSearchDataset
from preprocess.lex.token import Tokenizer
from ... | none | 1 | 2.142048 | 2 | |
qpath/utils.py | vladpopovici/QPath | 0 | 6628415 | # -*- coding: utf-8 -*-
#############################################################################
# Copyright <NAME> <<EMAIL>>
#
# Licensed under the MIT License. See LICENSE file in root folder.
#############################################################################
__author__ = "<NAME> <<EMAIL>>"
__versio... | # -*- coding: utf-8 -*-
#############################################################################
# Copyright <NAME> <<EMAIL>>
#
# Licensed under the MIT License. See LICENSE file in root folder.
#############################################################################
__author__ = "<NAME> <<EMAIL>>"
__versio... | en | 0.33186 | # -*- coding: utf-8 -*- ############################################################################# # Copyright <NAME> <<EMAIL>> # # Licensed under the MIT License. See LICENSE file in root folder. ############################################################################# # # QPATH.UTILS: handy functions # Return ... | 2.492383 | 2 |
coordination/migrations/0011_add_ml_quest_type.py | PhobosXIII/qc | 0 | 6628416 | # -*- coding: utf-8 -*-
# Generated by Django 1.9.2 on 2016-03-20 13:28
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('coordination', '0010_increase_hint_max_delay'),
]
operations = [
migrations.... | # -*- coding: utf-8 -*-
# Generated by Django 1.9.2 on 2016-03-20 13:28
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('coordination', '0010_increase_hint_max_delay'),
]
operations = [
migrations.... | en | 0.7973 | # -*- coding: utf-8 -*- # Generated by Django 1.9.2 on 2016-03-20 13:28 | 1.514562 | 2 |
curso_em_video/0064.py | marinaoliveira96/python-exercises | 0 | 6628417 | <filename>curso_em_video/0064.py
n = 0
cont = 0
soma = 0
while n != 999:
n = int(input('Digite um numero. [Digite 999 para parar]: '))
cont += 1
soma += n
print(f'foram digitados {cont} numeros e a soma deles é igual a {soma-999}') | <filename>curso_em_video/0064.py
n = 0
cont = 0
soma = 0
while n != 999:
n = int(input('Digite um numero. [Digite 999 para parar]: '))
cont += 1
soma += n
print(f'foram digitados {cont} numeros e a soma deles é igual a {soma-999}') | none | 1 | 3.445309 | 3 | |
app/services/models/pool_member.py | tirinox/thorchainmonitorbot | 3 | 6628418 | <reponame>tirinox/thorchainmonitorbot
from dataclasses import dataclass
@dataclass
class PoolMemberDetails:
asset_added: int = 0
asset_withdrawn: int = 0
asset_address: str = ''
rune_added: int = 0
rune_withdrawn: int = 0
run_address: str = ''
date_first_added: int = 0
date_last_adde... | from dataclasses import dataclass
@dataclass
class PoolMemberDetails:
asset_added: int = 0
asset_withdrawn: int = 0
asset_address: str = ''
rune_added: int = 0
rune_withdrawn: int = 0
run_address: str = ''
date_first_added: int = 0
date_last_added: int = 0
liquidity_units: int = ... | none | 1 | 2.130255 | 2 | |
machine-learning/utils/figures.py | tusharsingh62/nasaapps-rgb-awl | 0 | 6628419 | <filename>machine-learning/utils/figures.py
import colorlover as cl
import plotly.graph_objs as go
import numpy as np
from sklearn import metrics
def serve_prediction_plot(
model, X_train, X_test, y_train, y_test, Z, xx, yy, mesh_step, threshold, image
):
# Get train and test score from model
y_pred_train... | <filename>machine-learning/utils/figures.py
import colorlover as cl
import plotly.graph_objs as go
import numpy as np
from sklearn import metrics
def serve_prediction_plot(
model, X_train, X_test, y_train, y_test, Z, xx, yy, mesh_step, threshold, image
):
# Get train and test score from model
y_pred_train... | en | 0.741326 | # Get train and test score from model # Compute threshold # Colorscale # Create the plot # Plot the prediction contour of the SVM # Plot the threshold # Plot Training Data # Plot Test Data # symbol="triangle-up", # color=y_train, # Compute threshold | 2.773356 | 3 |
c.calculation.py | anmol1455/python | 0 | 6628420 | #class creation
class calculation:
num1=0
num2=0
def inputdata(self):
self.num1=int(input("enter first number"))
self.num2=int(input("enter second number"))
def addition(self):
add=self.num1+self.num2
print("sum=",add)
def subtraction(self):
sub=self.num1-sel... | #class creation
class calculation:
num1=0
num2=0
def inputdata(self):
self.num1=int(input("enter first number"))
self.num2=int(input("enter second number"))
def addition(self):
add=self.num1+self.num2
print("sum=",add)
def subtraction(self):
sub=self.num1-sel... | en | 0.653471 | #class creation # object creation | 3.954929 | 4 |
ool/oppositions/migrations/0016_opposition_inform_jury_member.py | HeLsEroC/bbr | 0 | 6628421 | <gh_stars>0
# Generated by Django 3.1.12 on 2021-07-27 06:34
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('oppositions', '0015_auto_20210713_1303'),
]
operations = [
migrations.AddField(
model_name='opposition',
... | # Generated by Django 3.1.12 on 2021-07-27 06:34
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('oppositions', '0015_auto_20210713_1303'),
]
operations = [
migrations.AddField(
model_name='opposition',
name='info... | en | 0.796867 | # Generated by Django 3.1.12 on 2021-07-27 06:34 | 1.504373 | 2 |
test/unit/test_decoder.py | blchu/sockeye | 0 | 6628422 | # Copyright 2017--2021 Amazon.com, Inc. or its affiliates. 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. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" fi... | # Copyright 2017--2021 Amazon.com, Inc. or its affiliates. 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. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" fi... | en | 0.870358 | # Copyright 2017--2021 Amazon.com, Inc. or its affiliates. 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. A copy of the License # is located at # # http://aws.amazon.com/apache2.0/ # # or in the "license" fi... | 1.958842 | 2 |
lemur/common/validators.py | dck25/lemur | 1,656 | 6628423 | import re
from cryptography import x509
from cryptography.exceptions import UnsupportedAlgorithm, InvalidSignature
from cryptography.hazmat.backends import default_backend
from cryptography.x509 import NameOID
from flask import current_app
from marshmallow.exceptions import ValidationError
from lemur.auth.permissions... | import re
from cryptography import x509
from cryptography.exceptions import UnsupportedAlgorithm, InvalidSignature
from cryptography.hazmat.backends import default_backend
from cryptography.x509 import NameOID
from flask import current_app
from marshmallow.exceptions import ValidationError
from lemur.auth.permissions... | en | 0.836972 | If the common name could be a domain name, apply domain validation rules. # Common name could be a domain name, or a human-readable name of the subject (often used in CA names or client # certificates). As a simple heuristic, we assume that human-readable names always include a space. # However, to avoid confusion for ... | 2.394251 | 2 |
methods/segmentation/utils.py | ciampluca/counting_perineuronal_nets | 6 | 6628424 | import pandas as pd
from skimage import measure
def segmentation_map_to_points(y_pred, thr=None):
""" Find connected components of a segmentation map and
returns a pandas DataFrame with the centroids' coordinates
and the score (computes as maximum value of the centroid in the map).
Args:
... | import pandas as pd
from skimage import measure
def segmentation_map_to_points(y_pred, thr=None):
""" Find connected components of a segmentation map and
returns a pandas DataFrame with the centroids' coordinates
and the score (computes as maximum value of the centroid in the map).
Args:
... | en | 0.747188 | Find connected components of a segmentation map and returns a pandas DataFrame with the centroids' coordinates and the score (computes as maximum value of the centroid in the map). Args: y_pred (ndarray): (H,W)-shaped array with values in [0, 1] thr (float, optional): Optional thres... | 2.916562 | 3 |
smiles2actions/name_filters/state_filter.py | rxn4chemistry/smiles2actions | 8 | 6628425 | <reponame>rxn4chemistry/smiles2actions
import re
from typing import List
from .filter import Filter
from ..regex_utils import RegexMatch, match_all, alternation, optional
from ..utils import dash_characters
_optional_of = optional(' of')
_descriptors = [
r'\b[Ss]olid\b' + _optional_of,
r'\b[Ll]iquid\b' + _op... | import re
from typing import List
from .filter import Filter
from ..regex_utils import RegexMatch, match_all, alternation, optional
from ..utils import dash_characters
_optional_of = optional(' of')
_descriptors = [
r'\b[Ss]olid\b' + _optional_of,
r'\b[Ll]iquid\b' + _optional_of,
r'\bgas\b',
r'\(s\)'... | en | 0.853543 | Looks for substrings related to the state (solid, liquid, gaseous). The regex matching in 'find_matches' is a bit too generous. This function checks whether the match should be kept. # if "(s)" is followed by a dash, it probably refers to the chirality -> ignore it | 2.703151 | 3 |
disk2.py | berrnd/linuxfabrik-lib | 0 | 6628426 | <gh_stars>0
#! /usr/bin/env python2
# -*- coding: utf-8; py-indent-offset: 4 -*-
#
# Author: Linuxfabrik GmbH, Zurich, Switzerland
# Contact: info (at) linuxfabrik (dot) ch
# https://www.linuxfabrik.ch/
# License: The Unlicense, see LICENSE file.
# https://github.com/Linuxfabrik/monitoring-plugins/blob/main/... | #! /usr/bin/env python2
# -*- coding: utf-8; py-indent-offset: 4 -*-
#
# Author: Linuxfabrik GmbH, Zurich, Switzerland
# Contact: info (at) linuxfabrik (dot) ch
# https://www.linuxfabrik.ch/
# License: The Unlicense, see LICENSE file.
# https://github.com/Linuxfabrik/monitoring-plugins/blob/main/CONTRIBUTING... | en | 0.683255 | #! /usr/bin/env python2 # -*- coding: utf-8; py-indent-offset: 4 -*- # # Author: Linuxfabrik GmbH, Zurich, Switzerland # Contact: info (at) linuxfabrik (dot) ch # https://www.linuxfabrik.ch/ # License: The Unlicense, see LICENSE file. # https://github.com/Linuxfabrik/monitoring-plugins/blob/main/CONTRIBUTING.... | 2.52869 | 3 |
lib/testcode2/validation.py | giovannipizzi/testcode | 17 | 6628427 | '''
testcode2.validation
--------------------
Classes and functions for comparing data.
:copyright: (c) 2012 <NAME>.
:license: modified BSD; see LICENSE for more details.
'''
import re
import sys
import warnings
import testcode2.ansi as ansi
import testcode2.compatibility as compat
import testcode2.exceptions as ex... | '''
testcode2.validation
--------------------
Classes and functions for comparing data.
:copyright: (c) 2012 <NAME>.
:license: modified BSD; see LICENSE for more details.
'''
import re
import sys
import warnings
import testcode2.ansi as ansi
import testcode2.compatibility as compat
import testcode2.exceptions as ex... | en | 0.819025 | testcode2.validation -------------------- Classes and functions for comparing data. :copyright: (c) 2012 <NAME>. :license: modified BSD; see LICENSE for more details. Enum-esque object for storing whether an object passed a comparison. bools: iterable of boolean objects. If all booleans are True (False) then the ... | 3.247451 | 3 |
sudoku_solver/board.py | Blondberg/py-sudoku-solver-mk2 | 0 | 6628428 | <filename>sudoku_solver/board.py
from pygame.constants import K_LEFT, K_RIGHT
from input_box import InputBox
import pygame
class Board:
def __init__(self) -> None:
self.ROW_COUNT = 9
self.COL_COUNT = 9
self.BOX_WIDTH = 50
self.BOX_HEIGHT = 50
self.active_row = 0
sel... | <filename>sudoku_solver/board.py
from pygame.constants import K_LEFT, K_RIGHT
from input_box import InputBox
import pygame
class Board:
def __init__(self) -> None:
self.ROW_COUNT = 9
self.COL_COUNT = 9
self.BOX_WIDTH = 50
self.BOX_HEIGHT = 50
self.active_row = 0
sel... | en | 0.714461 | ###") ###") # Could do foreach, but need the number of row and col | 3.625557 | 4 |
PR/production/personal_rank.py | Cathy-t/basic_recommendation_algorithm | 6 | 6628429 | # -*- coding: utf-8 -*-
# @Time : 2019/3/18 17:40
# @Author : Cathy
# @FileName: personal_rank.py
# @Software: PyCharm
from __future__ import division
import sys
sys.path.append("../util")
import util.read as read
import operator
import util.mat_util as mat_util
# 解稀疏矩阵的方程所需使用的模块 gmres
from scipy.sparse.linalg ... | # -*- coding: utf-8 -*-
# @Time : 2019/3/18 17:40
# @Author : Cathy
# @FileName: personal_rank.py
# @Software: PyCharm
from __future__ import division
import sys
sys.path.append("../util")
import util.read as read
import operator
import util.mat_util as mat_util
# 解稀疏矩阵的方程所需使用的模块 gmres
from scipy.sparse.linalg ... | zh | 0.798295 | # -*- coding: utf-8 -*- # @Time : 2019/3/18 17:40 # @Author : Cathy # @FileName: personal_rank.py # @Software: PyCharm # 解稀疏矩阵的方程所需使用的模块 gmres :param graph: user item graph 之前得到的user和item的图结构 :param root: the fixed user for which to recom 将要给哪个user推荐 :param alpha: the prob to go to random walk 以alpha的概率选择向下... | 2.62358 | 3 |
mfem/_par/densemat.py | kennyweiss/PyMFEM | 0 | 6628430 | # This file was automatically generated by SWIG (http://www.swig.org).
# Version 4.0.2
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.
from sys import version_info as _swig_python_version_info
if _swig_python_version_info < (2, 7, 0):
raise Runtime... | # This file was automatically generated by SWIG (http://www.swig.org).
# Version 4.0.2
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.
from sys import version_info as _swig_python_version_info
if _swig_python_version_info < (2, 7, 0):
raise Runtime... | en | 0.38803 | # This file was automatically generated by SWIG (http://www.swig.org). # Version 4.0.2 # # Do not make changes to this file unless you know what you are doing--modify # the SWIG interface file instead. # Import the low-level C/C++ module Class decorator for adding a metaclass to a SWIG wrapped class - a slimmed down ve... | 1.991092 | 2 |
ABC143/ABC143d.py | VolgaKurvar/AtCoder | 0 | 6628431 | <filename>ABC143/ABC143d.py
# ABC143d
import bisect
import sys
input = sys.stdin.readline
sys.setrecursionlimit(10**6)
n = int(input())
l = list(map(int, input().split()))
ans = 0
l.sort()
# print(l)
for x in range(n):
for y in range(x+1, n):
t = bisect.bisect_left(l, max(l[x] - l[y], l[y] - l[x])+1, y+1... | <filename>ABC143/ABC143d.py
# ABC143d
import bisect
import sys
input = sys.stdin.readline
sys.setrecursionlimit(10**6)
n = int(input())
l = list(map(int, input().split()))
ans = 0
l.sort()
# print(l)
for x in range(n):
for y in range(x+1, n):
t = bisect.bisect_left(l, max(l[x] - l[y], l[y] - l[x])+1, y+1... | en | 0.259213 | # ABC143d # print(l) #print(l[x], l[y], max(l[x] - l[y], l[y] - l[x]), t, l[t]) #print(t2, l[t2] if t2 < n else None) #print(t2 - t) | 2.614245 | 3 |
CIS41B/class_examples/Args.py | jackh423/python | 1 | 6628432 | <reponame>jackh423/python<filename>CIS41B/class_examples/Args.py
def Pack(*args, **kwargs):
print(type(args))
print(type(kwargs))
def Add(*num):
sum = 0
for n in num:
sum = sum + n
return sum
def Multiply(*args):
product = 1
for x in args:
product = product... | def Pack(*args, **kwargs):
print(type(args))
print(type(kwargs))
def Add(*num):
sum = 0
for n in num:
sum = sum + n
return sum
def Multiply(*args):
product = 1
for x in args:
product = product * x
return product
def Average(*args):
total = 0
... | none | 1 | 3.634439 | 4 | |
frcnn.py | xwshi/faster-rcnn-keras | 0 | 6628433 | import colorsys
import copy
import os
import time
import numpy as np
from keras import backend as K
from keras.applications.imagenet_utils import preprocess_input
from PIL import Image, ImageDraw, ImageFont
import nets.frcnn as frcnn
from nets.frcnn_training import get_new_img_size
from utils.anchors impo... | import colorsys
import copy
import os
import time
import numpy as np
from keras import backend as K
from keras.applications.imagenet_utils import preprocess_input
from PIL import Image, ImageDraw, ImageFont
import nets.frcnn as frcnn
from nets.frcnn_training import get_new_img_size
from utils.anchors impo... | zh | 0.21379 | #--------------------------------------------# # 使用自己训练好的模型预测需要修改2个参数 # model_path和classes_path都需要修改！ # 如果出现shape不匹配 # 一定要注意训练时的NUM_CLASSES、 # model_path和classes_path参数的修改 #--------------------------------------------# #---------------------------------------------------# # 初始化faster RCNN #-----------------... | 2.068793 | 2 |
Desafios/desafio13.py | ArthurBrito1/MY-SCRIPTS-PYTHON | 1 | 6628434 | <gh_stars>1-10
temperatura = int(input('informe a temperatura em graus celcius:'))
converssão = (temperatura*9/5)+32
print('A temperatura em graus celcius é de {}C \nApós de ser convertida para fharenheit fica {}F'.format(temperatura, converssão))
| temperatura = int(input('informe a temperatura em graus celcius:'))
converssão = (temperatura*9/5)+32
print('A temperatura em graus celcius é de {}C \nApós de ser convertida para fharenheit fica {}F'.format(temperatura, converssão)) | none | 1 | 3.682393 | 4 | |
integration/idea/root0/apputils_setup.py | hapylestat/appcore | 0 | 6628435 | <filename>integration/idea/root0/apputils_setup.py
# 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 L... | <filename>integration/idea/root0/apputils_setup.py
# 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 L... | en | 0.859601 | # 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... | 1.822595 | 2 |
main.py | nalbarr/halamka_nlp_tf_keras | 0 | 6628436 | import pandas as pd
import numpy as np
import random
import tensorflow as tf
from tensorflow.keras.preprocessing.text import Tokenizer
from tensorflow.keras.preprocessing.sequence import pad_sequences
def dump_tf_info():
print("Version: ", tf.__version__)
print("Eager mode: ", tf.executing_eagerly())
pri... | import pandas as pd
import numpy as np
import random
import tensorflow as tf
from tensorflow.keras.preprocessing.text import Tokenizer
from tensorflow.keras.preprocessing.sequence import pad_sequences
def dump_tf_info():
print("Version: ", tf.__version__)
print("Eager mode: ", tf.executing_eagerly())
pri... | none | 1 | 2.730041 | 3 | |
book/_build/jupyter_execute/descriptive/m3-demo-04-SummaryStatisticsAndVisualizations.py | hossainlab/statswithpy | 0 | 6628437 | <gh_stars>0
#!/usr/bin/env python
# coding: utf-8
# ## Univariate and Bivariate Analysis
# <b>Dataset</b>: https://www.kaggle.com/mustafaali96/weight-height
# The variables used are:
# * Height
# * Weight
# * Gender
# ### Import libraries
# In[1]:
import pandas as pd
import matplotlib.pyplot as plt
... | #!/usr/bin/env python
# coding: utf-8
# ## Univariate and Bivariate Analysis
# <b>Dataset</b>: https://www.kaggle.com/mustafaali96/weight-height
# The variables used are:
# * Height
# * Weight
# * Gender
# ### Import libraries
# In[1]:
import pandas as pd
import matplotlib.pyplot as plt
import numpy... | en | 0.457787 | #!/usr/bin/env python # coding: utf-8 # ## Univariate and Bivariate Analysis # <b>Dataset</b>: https://www.kaggle.com/mustafaali96/weight-height # The variables used are: # * Height # * Weight # * Gender # ### Import libraries # In[1]: # ### Load and read dataset # In[2]: # In[3]: # ### Mean, median, mode, ... | 3.903969 | 4 |
conf.py | orishamir/OriScapy | 0 | 6628438 | iface = 'eth0' | iface = 'eth0' | none | 1 | 1.05878 | 1 | |
Auto-differentiation/auto_class.py | Robertboy18/Numerical-Algorithms-Implementation | 0 | 6628439 | <reponame>Robertboy18/Numerical-Algorithms-Implementation<gh_stars>0
# original author : Professor <NAME>
class Autodiff_Node(object):
## A class is a recipe for creating objects (with methods and atributes).
## This is called a 'base class', which is like a boiler plate recipe that
## many other classes ... | # original author : Professor <NAME>
class Autodiff_Node(object):
## A class is a recipe for creating objects (with methods and atributes).
## This is called a 'base class', which is like a boiler plate recipe that
## many other classes will use a starting point, each making specific
## changes.
... | en | 0.812549 | # original author : Professor <NAME> ## A class is a recipe for creating objects (with methods and atributes). ## This is called a 'base class', which is like a boiler plate recipe that ## many other classes will use a starting point, each making specific ## changes. ## All methods (unless otherwise specified) must hav... | 3.608301 | 4 |
tests/e2e/rnn_rollout/test_deal_or_not.py | haojiepan1/CrossWOZ | 1 | 6628440 | import argparse
from convlab2.e2e.rnn_rollout.deal_or_not import DealornotAgent
from convlab2.e2e.rnn_rollout.deal_or_not.model import get_context_generator
from convlab2 import DealornotSession
import convlab2.e2e.rnn_rollout.utils as utils
import numpy as np
session_num = 20
def rnn_model_args():
parser = argp... | import argparse
from convlab2.e2e.rnn_rollout.deal_or_not import DealornotAgent
from convlab2.e2e.rnn_rollout.deal_or_not.model import get_context_generator
from convlab2 import DealornotSession
import convlab2.e2e.rnn_rollout.utils as utils
import numpy as np
session_num = 20
def rnn_model_args():
parser = argp... | en | 0.658939 | # agent # session # print(np.mean(rewards, axis=1)) | 2.211698 | 2 |
src/estimagic/visualization/convergence_plot.py | janosg/estimagic | 7 | 6628441 | import numpy as np
import plotly.express as px
import plotly.graph_objects as go
from estimagic.benchmarking.process_benchmark_results import (
create_convergence_histories,
)
from estimagic.config import PLOTLY_TEMPLATE
from estimagic.utilities import propose_alternatives
from estimagic.visualization.plotting_util... | import numpy as np
import plotly.express as px
import plotly.graph_objects as go
from estimagic.benchmarking.process_benchmark_results import (
create_convergence_histories,
)
from estimagic.config import PLOTLY_TEMPLATE
from estimagic.utilities import propose_alternatives
from estimagic.visualization.plotting_util... | en | 0.826932 | Plot convergence of optimizers for a set of problems. This creates a grid of plots, showing the convergence of the different algorithms on each problem. The faster a line falls, the faster the algorithm improved on the problem. The algorithm converged where its line reaches 0 (if normalize_distance is ... | 2.92027 | 3 |
alipay/aop/api/response/ZhimaCustomerCertificationCertifyResponse.py | snowxmas/alipay-sdk-python-all | 213 | 6628442 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
class ZhimaCustomerCertificationCertifyResponse(AlipayResponse):
def __init__(self):
super(ZhimaCustomerCertificationCertifyResponse, self).__init__()
self._biz_no = None
... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
class ZhimaCustomerCertificationCertifyResponse(AlipayResponse):
def __init__(self):
super(ZhimaCustomerCertificationCertifyResponse, self).__init__()
self._biz_no = None
... | en | 0.352855 | #!/usr/bin/env python # -*- coding: utf-8 -*- | 2.130936 | 2 |
handlers/base.py | binux/webrtc_video | 32 | 6628443 | <reponame>binux/webrtc_video
#!/usr/bin/env python
# -*- encoding: utf-8 -*-
# vim: set et sw=4 ts=4 sts=4 ff=unix fenc=utf8:
# Author: Binux<<EMAIL>>
# http://binux.me
# Created on 2012-12-15 16:16:38
import logging
import tornado.web
import tornado.websocket
from tornado.web import HTTPError
from tornado.opt... | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
# vim: set et sw=4 ts=4 sts=4 ff=unix fenc=utf8:
# Author: Binux<<EMAIL>>
# http://binux.me
# Created on 2012-12-15 16:16:38
import logging
import tornado.web
import tornado.websocket
from tornado.web import HTTPError
from tornado.options import options
__ALL__ ... | en | 0.225609 | #!/usr/bin/env python # -*- encoding: utf-8 -*- # vim: set et sw=4 ts=4 sts=4 ff=unix fenc=utf8: # Author: Binux<<EMAIL>> # http://binux.me # Created on 2012-12-15 16:16:38 | 1.805149 | 2 |
button.py | mn1del/rpigpio | 0 | 6628444 | #!/usr/bin/env python3
"""
Class to handle momentary switches
"""
import RPi.GPIO as GPIO
import time
if __name__ == "__main__":
from base import BaseIO
else:
from rpigpio.base import BaseIO
class Button(BaseIO):
def __init__(self,
button_pin=12,
pull_up=True,
... | #!/usr/bin/env python3
"""
Class to handle momentary switches
"""
import RPi.GPIO as GPIO
import time
if __name__ == "__main__":
from base import BaseIO
else:
from rpigpio.base import BaseIO
class Button(BaseIO):
def __init__(self,
button_pin=12,
pull_up=True,
... | en | 0.772461 | #!/usr/bin/env python3 Class to handle momentary switches Class to handle momentary switch input. Note that STATE behaviour will depend on whether a pullup or pull-down resistor is used, and whether the circuit is wired normally open or normally closed. args: button_pin: (in... | 3.437627 | 3 |
villes_en_france.py | mbrewer/dictionary_magic | 0 | 6628445 | <gh_stars>0
#!/usr/bin/env python
# -*- coding: latin-1 -*-
combien_de_departements = {
'Auvergne-Rhônes-Alpes': 12,
'Île-de-France': 8,
'Normandie': 5,
'Provence-Alpes-Côte d\'Azur': 8,
'Nouvelle-Aquitaine': 12,
... | #!/usr/bin/env python
# -*- coding: latin-1 -*-
combien_de_departements = {
'Auvergne-Rhônes-Alpes': 12,
'Île-de-France': 8,
'Normandie': 5,
'Provence-Alpes-Côte d\'Azur': 8,
'Nouvelle-Aquitaine': 12,
... | en | 0.184027 | #!/usr/bin/env python # -*- coding: latin-1 -*- | 2.090516 | 2 |
src/npx/__init__.py | rohankumardubey/npx | 0 | 6628446 | <gh_stars>0
from ._isin import isin_rows
from ._main import add_at, dot, outer, solve, subtract_at, sum_at
from ._mean import mean
from ._unique import unique, unique_rows
__all__ = [
"dot",
"outer",
"solve",
"sum_at",
"add_at",
"subtract_at",
"unique_rows",
"isin_rows",
"mean",
... | from ._isin import isin_rows
from ._main import add_at, dot, outer, solve, subtract_at, sum_at
from ._mean import mean
from ._unique import unique, unique_rows
__all__ = [
"dot",
"outer",
"solve",
"sum_at",
"add_at",
"subtract_at",
"unique_rows",
"isin_rows",
"mean",
"unique",
... | none | 1 | 1.936957 | 2 | |
docker/app.py | icedwater/dole | 0 | 6628447 | <filename>docker/app.py
#! /usr/bin/env python
from flask import Flask
from redis import Redis, RedisError
import os
import socket
# Connect to Redis
redis = Redis(host="redis", db=0, socket_connect_timeout=2, socket_timeout=2)
app = Flask(__name__)
@app.route("/")
def hello():
try:
visits = redis.incr(... | <filename>docker/app.py
#! /usr/bin/env python
from flask import Flask
from redis import Redis, RedisError
import os
import socket
# Connect to Redis
redis = Redis(host="redis", db=0, socket_connect_timeout=2, socket_timeout=2)
app = Flask(__name__)
@app.route("/")
def hello():
try:
visits = redis.incr(... | en | 0.342116 | #! /usr/bin/env python # Connect to Redis | 2.640903 | 3 |
functions/RedditDownloader.py | RafaelRCamargo/reddit-downloader-plus | 0 | 6628448 | <filename>functions/RedditDownloader.py<gh_stars>0
# FRTS
# ? Reddit Api + Downloader
# * Imports
# Sys os
import os
# Sys Path
from pathlib import Path
# Date
from datetime import datetime
# Reddit Downloader
from redvid import Downloader
# Cool Terminal Colors
from rich import print
duration = 0
def reddit_downl... | <filename>functions/RedditDownloader.py<gh_stars>0
# FRTS
# ? Reddit Api + Downloader
# * Imports
# Sys os
import os
# Sys Path
from pathlib import Path
# Date
from datetime import datetime
# Reddit Downloader
from redvid import Downloader
# Cool Terminal Colors
from rich import print
duration = 0
def reddit_downl... | en | 0.605856 | # FRTS # ? Reddit Api + Downloader # * Imports # Sys os # Sys Path # Date # Reddit Downloader # Cool Terminal Colors # * Basics # Redvid setup # Video path # Video url # * Defs # Max size of the file in MB # * Props # Auto max video quality based on the file size # Video overwrite method # * Get Videos Stats # * Genera... | 3.186541 | 3 |
io_scene_webaverse/blender/exp/gltf2_blender_gather_animation_sampler_keyframes.py | chrislatorres/blender-plugin | 3 | 6628449 | <reponame>chrislatorres/blender-plugin<gh_stars>1-10
# Copyright 2018-2019 The glTF-Blender-IO authors.
#
# 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/... | # Copyright 2018-2019 The glTF-Blender-IO authors.
#
# 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 ... | en | 0.882033 | # Copyright 2018-2019 The glTF-Blender-IO authors. # # 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 ... | 1.626919 | 2 |
src/StockSight/EsMap/StockPrice.py | oreoluwa/stocksight | 3 | 6628450 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Stock Price Mapping
Copyright (C) <NAME> 2018-2019
Copyright (C) Allen (<NAME>) Xie 2019
stocksight is released under the Apache 2.0 license. See
LICENSE for the full license text.
"""
# set up elasticsearch mappings and create index
mapping = {
"mappings": {
... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Stock Price Mapping
Copyright (C) <NAME> 2018-2019
Copyright (C) Allen (<NAME>) Xie 2019
stocksight is released under the Apache 2.0 license. See
LICENSE for the full license text.
"""
# set up elasticsearch mappings and create index
mapping = {
"mappings": {
... | en | 0.67356 | #!/usr/bin/env python # -*- coding: utf-8 -*- Stock Price Mapping Copyright (C) <NAME> 2018-2019 Copyright (C) Allen (<NAME>) Xie 2019 stocksight is released under the Apache 2.0 license. See LICENSE for the full license text. # set up elasticsearch mappings and create index | 1.597385 | 2 |