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 |
|---|---|---|---|---|---|---|---|---|---|---|
dcn/__init__.py | draklowell/DCNNode | 0 | 6622151 | from . import packet
from . import server
from . import handler
from . import info | from . import packet
from . import server
from . import handler
from . import info | none | 1 | 1.114228 | 1 | |
PythonExercicios/ex101.py | raulgranja/Python-Course | 0 | 6622152 | def voto(ano):
from datetime import datetime
idade = datetime.now().year - ano
if 16 <= idade < 18 or idade > 65:
return f'Com {idade} anos: VOTO OPCIONAL'
elif idade >= 18:
return f'Com {idade} anos: VOTO OBRIGATÓRIO'
else:
return f'Com {idade} anos: VOTO NEGADO'
# main
na... | def voto(ano):
from datetime import datetime
idade = datetime.now().year - ano
if 16 <= idade < 18 or idade > 65:
return f'Com {idade} anos: VOTO OPCIONAL'
elif idade >= 18:
return f'Com {idade} anos: VOTO OBRIGATÓRIO'
else:
return f'Com {idade} anos: VOTO NEGADO'
# main
na... | none | 1 | 3.805221 | 4 | |
interpret.py | Timothy102/covid-ct | 1 | 6622153 | <reponame>Timothy102/covid-ct
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from scipy.signal import savgol_filter
import seaborn as sns
from tqdm import tqdm
from config import OUTPUT_CSV
def parseArguments():
parser = argparse.ArgumentParser()
parser.add_argument("--path", type=str,... | import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from scipy.signal import savgol_filter
import seaborn as sns
from tqdm import tqdm
from config import OUTPUT_CSV
def parseArguments():
parser = argparse.ArgumentParser()
parser.add_argument("--path", type=str, default=TRAIN_PATH,
... | sl | 0.260245 | # Prvo je treba izračunat thresholde s calculate_thresholds() # AB diskriminacija # AC diskriminacija | 2.660109 | 3 |
synclottery/sd.py | beiji-zhouqi/syncLottery | 2 | 6622154 | #!/usr/bin/env python
# encoding: utf-8
import re
import time
import datetime
from synclottery.requestData import GetData
'''
url: 使用的是360彩票官网接口数据，修改startTime和endTime获取期间数据
sd_re: 获取数据正则表达式
'''
def runSql(start_Time, end_Time):
url = "https://chart.cp.360.cn/kaijiang/sd?lotId=210053&spanType=2&span=" + start_Ti... | #!/usr/bin/env python
# encoding: utf-8
import re
import time
import datetime
from synclottery.requestData import GetData
'''
url: 使用的是360彩票官网接口数据，修改startTime和endTime获取期间数据
sd_re: 获取数据正则表达式
'''
def runSql(start_Time, end_Time):
url = "https://chart.cp.360.cn/kaijiang/sd?lotId=210053&spanType=2&span=" + start_Ti... | zh | 0.765544 | #!/usr/bin/env python # encoding: utf-8 url: 使用的是360彩票官网接口数据，修改startTime和endTime获取期间数据 sd_re: 获取数据正则表达式 | 2.810466 | 3 |
createtest_images.py | mrrocketraccoon/AdvancedLaneDetection | 0 | 6622155 | <gh_stars>0
from CameraCalibration import CameraCalibration
from Thresholds import abs_sobel_thresh, mag_thresh, dir_threshold, color_r_threshold
from SlidingWindows import sliding_windows
from FitPolynomial import fit_polynomial
import matplotlib.image as mpimg
import cv2
import numpy as np
import matplotlib.pyplot as... | from CameraCalibration import CameraCalibration
from Thresholds import abs_sobel_thresh, mag_thresh, dir_threshold, color_r_threshold
from SlidingWindows import sliding_windows
from FitPolynomial import fit_polynomial
import matplotlib.image as mpimg
import cv2
import numpy as np
import matplotlib.pyplot as plt
#Calib... | en | 0.595038 | #Calibrate camera #img = mpimg.imread('test_images/test4.jpg') #Threshold #Sobel kernel size #Apply each of the thresholding functions #Try a combination #Perform perspective transform from source to bird's eyeview #cv2.imshow('test_images/calibrated_image.jpg',warped) #cv2.waitKey(0) ######The histogram shows that the... | 2.363641 | 2 |
restore.py | CurryEleison/workdocs-disaster-recovery | 0 | 6622156 | <reponame>CurryEleison/workdocs-disaster-recovery
from argparse import ArgumentParser, ArgumentTypeError
from os.path import isdir
from pathlib import Path
import logging
from workdocs_dr.cli_arguments import clients_from_input, bucket_url_from_input, logging_setup, organization_id_from_input, wdfilter_from_input
from... | from argparse import ArgumentParser, ArgumentTypeError
from os.path import isdir
from pathlib import Path
import logging
from workdocs_dr.cli_arguments import clients_from_input, bucket_url_from_input, logging_setup, organization_id_from_input, wdfilter_from_input
from workdocs_dr.directory_restore import DirectoryRes... | en | 0.677008 | # Restorer goes here | 2.380693 | 2 |
lib3to2/tests/test_itertools.py | hajs/lib3to2_fork | 3 | 6622157 | <filename>lib3to2/tests/test_itertools.py
from lib3to2.tests.support import lib3to2FixerTestCase
class Test_itertoools(lib3to2FixerTestCase):
fixer = "itertools"
def test_map(self):
b = """map(a, b)"""
a = """from itertools import imap\nimap(a, b)"""
self.check(b, a)
def test_unch... | <filename>lib3to2/tests/test_itertools.py
from lib3to2.tests.support import lib3to2FixerTestCase
class Test_itertoools(lib3to2FixerTestCase):
fixer = "itertools"
def test_map(self):
b = """map(a, b)"""
a = """from itertools import imap\nimap(a, b)"""
self.check(b, a)
def test_unch... | en | 0.408972 | map(a, b) from itertools import imap\nimap(a, b) obj.filter(a, b) def map(): pass for key, val in zip(a, b):\n\tdct[key] = val from itertools import izip\nfor key, val in izip(a, b):\n\tdct[key] = val from itertools import function, filterfalse, other_function from itertools import function, ifilterfalse, o... | 2.549675 | 3 |
plugin/utils/include_parser.py | LexouDuck/EasyClangComplete | 648 | 6622158 | """Find all includes."""
import os
import logging
from os import path
import sublime
from ..utils import thread_job
log = logging.getLogger("ECC")
FILE_TAG = "📄 "
FOLDER_TAG = "📂 "
class IncludeCompleter():
"""Handle the include completion in the quick panel."""
MATCHING_CHAR = {
'<': '>',
... | """Find all includes."""
import os
import logging
from os import path
import sublime
from ..utils import thread_job
log = logging.getLogger("ECC")
FILE_TAG = "📄 "
FOLDER_TAG = "📂 "
class IncludeCompleter():
"""Handle the include completion in the quick panel."""
MATCHING_CHAR = {
'<': '>',
... | en | 0.883893 | Find all includes. Handle the include completion in the quick panel. Initialize the object. Start completing includes. Pick this error to navigate to a file. Parse all the folders and return all headers. We might want to have back slashes intead of slashes. | 2.790229 | 3 |
train.py | xinyuan-liu/NL2PL | 0 | 6622159 | <reponame>xinyuan-liu/NL2PL<filename>train.py
import torch
from torch.utils.data import Dataset, DataLoader, TensorDataset
import dataset
from transformer import *
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
hs=dataset.hearthstone()
X_train,Y_train=hs.dataset('train')
trainloader = DataLoade... | import torch
from torch.utils.data import Dataset, DataLoader, TensorDataset
import dataset
from transformer import *
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
hs=dataset.hearthstone()
X_train,Y_train=hs.dataset('train')
trainloader = DataLoader(TensorDataset(torch.from_numpy(X_train),torc... | en | 0.379099 | # encoder # decoder #model = torch.nn.DataParallel(model) | 2.339157 | 2 |
diagrams/firebase/extentions.py | bry-c/diagrams | 17,037 | 6622160 | <filename>diagrams/firebase/extentions.py<gh_stars>1000+
# This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Firebase
class _Extentions(_Firebase):
_type = "extentions"
_icon_dir = "resources/firebase/extentions"
class Extensions(_Extentions):
_icon = "extensions.png"
... | <filename>diagrams/firebase/extentions.py<gh_stars>1000+
# This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Firebase
class _Extentions(_Firebase):
_type = "extentions"
_icon_dir = "resources/firebase/extentions"
class Extensions(_Extentions):
_icon = "extensions.png"
... | en | 0.645514 | # This module is automatically generated by autogen.sh. DO NOT EDIT. # Aliases | 1.288313 | 1 |
pipeline/0x00-pandas/3-rename.py | Naouali/holbertonschool-machine_learning | 0 | 6622161 | #!/usr/bin/env python3
import pandas as pd
from_file = __import__('2-from_file').from_file
df = from_file('coinbaseUSD_1-min_data_2014-12-01_to_2019-01-09.csv', ',')
# YOUR CODE HERE
df.rename(columns={"Timestamp": "Datetime"}, inplace=True)
df['Datetime'] = pd.to_datetime(df['Datetime'])
df = df[['Datetime', 'Close... | #!/usr/bin/env python3
import pandas as pd
from_file = __import__('2-from_file').from_file
df = from_file('coinbaseUSD_1-min_data_2014-12-01_to_2019-01-09.csv', ',')
# YOUR CODE HERE
df.rename(columns={"Timestamp": "Datetime"}, inplace=True)
df['Datetime'] = pd.to_datetime(df['Datetime'])
df = df[['Datetime', 'Close... | fr | 0.272059 | #!/usr/bin/env python3 # YOUR CODE HERE | 3.214015 | 3 |
robotics/openrave/fixed_tamp_holding.py | nishadg246/stripstream-ivan-nishad | 0 | 6622162 | <gh_stars>0
from manipulation.motion.single_query import cspace_traj_helper, vector_traj_helper
from stripstream.pddl.examples.openrave.utils import solve_inverse_kinematics, \
object_trans_from_manip_trans, set_manipulator_conf, Conf, \
sample_manipulator_trajectory
from manipulation.bodies.robot import manip_fro... | from manipulation.motion.single_query import cspace_traj_helper, vector_traj_helper
from stripstream.pddl.examples.openrave.utils import solve_inverse_kinematics, \
object_trans_from_manip_trans, set_manipulator_conf, Conf, \
sample_manipulator_trajectory
from manipulation.bodies.robot import manip_from_pose_grasp... | en | 0.667034 | # Enables or disables all bodies for collision checking #################### # Collision free test between an object at pose1 and an object at pose2 #################### # Collision free test between a robot executing traj and an object at pose # Collision free test between an object held at grasp while executing traj ... | 2.454939 | 2 |
standaloneBeta/DIGFL_vfl/DIG-FL_LinR.py | qmkakaxi/DIG_FL | 1 | 6622163 | import numpy as np
import pandas as pd
from sklearn import preprocessing
from sklearn.model_selection import train_test_split
import pickle
class LinearRegression_DIGFL():
def __init__(self, n_iterations=3000, learning_rate=0.00001, num_participant=1, gradient=True):
self.n_iterations = n_iterations
... | import numpy as np
import pandas as pd
from sklearn import preprocessing
from sklearn.model_selection import train_test_split
import pickle
class LinearRegression_DIGFL():
def __init__(self, n_iterations=3000, learning_rate=0.00001, num_participant=1, gradient=True):
self.n_iterations = n_iterations
... | none | 1 | 2.800606 | 3 | |
src/onegov/onboarding/models/assistant.py | politbuero-kampagnen/onegov-cloud | 0 | 6622164 | <gh_stars>0
import inspect
import time
class Assistant(object):
""" Describes an assistant guiding a user through onboarding. """
def __init__(self, app, current_step_number=1):
self.app = app
methods = (fn[1] for fn in inspect.getmembers(self))
methods = (fn for fn in methods if in... | import inspect
import time
class Assistant(object):
""" Describes an assistant guiding a user through onboarding. """
def __init__(self, app, current_step_number=1):
self.app = app
methods = (fn[1] for fn in inspect.getmembers(self))
methods = (fn for fn in methods if inspect.ismeth... | en | 0.867129 | Describes an assistant guiding a user through onboarding. Describes a step in an assistant. | 2.889534 | 3 |
libs/jinja/template_var.py | janbodnar/Python-Course | 13 | 6622165 | #!/usr/bin/python
from jinja2 import Template
tm = Template("{% set name='Peter' -%} My name is {{ name }}")
msg = tm.render()
print(msg)
| #!/usr/bin/python
from jinja2 import Template
tm = Template("{% set name='Peter' -%} My name is {{ name }}")
msg = tm.render()
print(msg)
| ru | 0.258958 | #!/usr/bin/python | 2.543889 | 3 |
stairs/solutions/stairs_ns_ok1.py | upmltech/hmopen2019 | 0 | 6622166 | n, x = map(int, input().split())
a = list(map(int, input().split()))
ans = 0
for i in range(n - 1):
ans += (a[i + 1] - a[i] - 1) // x
print(ans)
| n, x = map(int, input().split())
a = list(map(int, input().split()))
ans = 0
for i in range(n - 1):
ans += (a[i + 1] - a[i] - 1) // x
print(ans)
| none | 1 | 2.765993 | 3 | |
accounts/urls.py | Wings30306/callingmrschristmas | 4 | 6622167 | from django.urls import path, reverse_lazy
from django.contrib.auth.views import (
PasswordResetView, PasswordResetDoneView)
from .views import logout, login, register, user_profile
app_name = "accounts"
urlpatterns = [
path('logout', logout, name="logout"),
path('login', login, name="login"),
path('re... | from django.urls import path, reverse_lazy
from django.contrib.auth.views import (
PasswordResetView, PasswordResetDoneView)
from .views import logout, login, register, user_profile
app_name = "accounts"
urlpatterns = [
path('logout', logout, name="logout"),
path('login', login, name="login"),
path('re... | none | 1 | 1.946119 | 2 | |
proxies/detran/tests/test_views.py | MinisterioPublicoRJ/api-cadg | 6 | 6622168 | <reponame>MinisterioPublicoRJ/api-cadg<gh_stars>1-10
from unittest import mock
from django.conf import settings
from django.test import TestCase, override_settings
from django.urls import reverse
from proxies.exceptions import (
DataDoesNotExistException,
DetranAPIClientError,
WaitDBException,
)
TEST_TO... | from unittest import mock
from django.conf import settings
from django.test import TestCase, override_settings
from django.urls import reverse
from proxies.exceptions import (
DataDoesNotExistException,
DetranAPIClientError,
WaitDBException,
)
TEST_TOKEN = "<PASSWORD>"
@override_settings(SIMPLE_AUTH_T... | en | 0.174723 | # View must remove padding zero | 2.374443 | 2 |
code/backend/billing/serializers.py | rollethu/noe | 16 | 6622169 | <filename>code/backend/billing/serializers.py
from django.utils.translation import gettext as _
from rest_framework.exceptions import ValidationError
from rest_framework import serializers
from . import models as m
class BillingDetailSerializer(serializers.HyperlinkedModelSerializer):
is_company = serializers.Bo... | <filename>code/backend/billing/serializers.py
from django.utils.translation import gettext as _
from rest_framework.exceptions import ValidationError
from rest_framework import serializers
from . import models as m
class BillingDetailSerializer(serializers.HyperlinkedModelSerializer):
is_company = serializers.Bo... | none | 1 | 2.15293 | 2 | |
mittens/interfaces/spatial.py | pfotiad/MITTENS | 7 | 6622170 | # -*- coding: utf-8 -*-
from __future__ import print_function, division, unicode_literals, absolute_import
from .base import MittensBaseInterface, IFLOGGER
import os.path as op
import numpy as np
from nipype.interfaces.base import (traits, File, isdefined,
BaseInterfaceInputSpec, TraitedSpec)
from... | # -*- coding: utf-8 -*-
from __future__ import print_function, division, unicode_literals, absolute_import
from .base import MittensBaseInterface, IFLOGGER
import os.path as op
import numpy as np
from nipype.interfaces.base import (traits, File, isdefined,
BaseInterfaceInputSpec, TraitedSpec)
from... | en | 0.6807 | # -*- coding: utf-8 -*- Replaces a DSI Studio affine with a real affine. | 1.959779 | 2 |
desafio109/moeda109.py | marcelocmedeiros/RevisaoPython | 0 | 6622171 | # <NAME>
# ADS UNIFIP
# REVISÃO DE PYTHON
# AULA 22 Modularização---> <NAME>
'''
Modifique as funções que foram criadas no desafio 107 para que elas aceitem um parâmetro a mais,
informando se o valor retornado por elas vai ser ou não formatado pela função moeda(),
desenvolvida no desafio 108.
'''
print('='*30)
pri... | # <NAME>
# ADS UNIFIP
# REVISÃO DE PYTHON
# AULA 22 Modularização---> <NAME>
'''
Modifique as funções que foram criadas no desafio 107 para que elas aceitem um parâmetro a mais,
informando se o valor retornado por elas vai ser ou não formatado pela função moeda(),
desenvolvida no desafio 108.
'''
print('='*30)
pri... | pt | 0.95499 | # <NAME> # ADS UNIFIP # REVISÃO DE PYTHON # AULA 22 Modularização---> <NAME> Modifique as funções que foram criadas no desafio 107 para que elas aceitem um parâmetro a mais, informando se o valor retornado por elas vai ser ou não formatado pela função moeda(), desenvolvida no desafio 108. # def passa ter 3 parametros... | 3.990495 | 4 |
face.py | PDahal2871/Emotion-Detection | 0 | 6622172 | <gh_stars>0
import cv2
import numpy as np
from tensorflow.keras.models import load_model
classifier = load_model('model1.h5')
cap = cv2.VideoCapture(0)
haar = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
while True:
ret, frame = cap.read()
if ret:
fcs=[]
bbx=[]
preds=[]
... | import cv2
import numpy as np
from tensorflow.keras.models import load_model
classifier = load_model('model1.h5')
cap = cv2.VideoCapture(0)
haar = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
while True:
ret, frame = cap.read()
if ret:
fcs=[]
bbx=[]
preds=[]
gray... | en | 0.85476 | #reshaping from (1,150,150) to (150,150,1) # Changing to 4d for CNN # Putting rectangle of bbox in frames # Putting text in live frames # pressing 'q' or 'esc' keys destroys the window The accuracy of the classifier can be increased by changing it with a new, more accurate classifier or fine tuning the current one agai... | 2.894622 | 3 |
MIHF/Bayes/BayesMatrixFactorEvaluator.py | revygabor/HWTester | 0 | 6622173 | import Evaluator
from io import StringIO
import numpy as np
class BayesMatrixFactorEvaluator(Evaluator.Evaluator):
def __init__(self, details):
pass
def evaluate(self, input, target_output, output, log):
try:
M = output.split('\n\n')
U = np.loadtxt(StringIO(unicode(M[0]... | import Evaluator
from io import StringIO
import numpy as np
class BayesMatrixFactorEvaluator(Evaluator.Evaluator):
def __init__(self, details):
pass
def evaluate(self, input, target_output, output, log):
try:
M = output.split('\n\n')
U = np.loadtxt(StringIO(unicode(M[0]... | none | 1 | 2.857721 | 3 | |
KNN.py | kongxiaoshuang/KNN | 2 | 6622174 | <reponame>kongxiaoshuang/KNN
#-*- coding: utf-8 -*-
from numpy import *
import operator
import matplotlib
import matplotlib.pyplot as plt
def createDataSet():
group = array([[1.0, 1.1], [1.0, 1.0], [0, 0], [0, 0.1]])
labels = ['A', 'A', 'B', 'B']
return group, labels
def classify0(inX, dataSet, labels, k... | #-*- coding: utf-8 -*-
from numpy import *
import operator
import matplotlib
import matplotlib.pyplot as plt
def createDataSet():
group = array([[1.0, 1.1], [1.0, 1.0], [0, 0], [0, 0.1]])
labels = ['A', 'A', 'B', 'B']
return group, labels
def classify0(inX, dataSet, labels, k): #inX为用于分类的输入向量，dataSet为输入的... | zh | 0.841819 | #-*- coding: utf-8 -*- #inX为用于分类的输入向量，dataSet为输入的训练样本集， labels为训练标签，k表示用于选择最近的数目 #dataSet的行数 #将inX数组复制成与dataSet相同行数，与dataSet相减，求坐标差 #diffMat的平方 #将sqDiffMat每一行的所有数相加 #开根号，求点和点之间的欧式距离 #将distances中的元素从小到大排列，提取其对应的index，然后输出到sortedDistIndicies #创建字典 #前k个标签数据 #判断classCount中有没有对应的voteIlabel， # 如果有返回voteIlabel对应的值，如果没有则返回0，在最... | 2.993564 | 3 |
DOSELECT/script.py | ritwik1503/Competitive-Coding-1 | 29 | 6622175 | import json
import requests
| import json
import requests
| none | 1 | 1.020308 | 1 | |
src/mta/model/mf.py | JalexChang/cross-media-attribution | 0 | 6622176 | <reponame>JalexChang/cross-media-attribution
import numpy
from copy import copy
from mta.dataset import Dataset
from mta.ds.rating_row import RatingRow
from mta.ds.touch_row import TouchRow
import time
class MF:
trained = False
dataset_loaded = False
def __init__ (self,max_iters=100, user_biased =False, ... | import numpy
from copy import copy
from mta.dataset import Dataset
from mta.ds.rating_row import RatingRow
from mta.ds.touch_row import TouchRow
import time
class MF:
trained = False
dataset_loaded = False
def __init__ (self,max_iters=100, user_biased =False, item_biased =False, alpha=0.001, beta=0.01, d... | en | 0.765185 | #R_predicted = self.predict(R_list) #update features by stochastic gradient descent #calculate overall error (with regularization) #updated factors #update biases # prediction errors # regularization errors | 2.198554 | 2 |
oldtests/test_value.py | tokikanno/mosql | 85 | 6622177 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from getpass import getuser
from itertools import product
import mosql.util
import mosql.std
import mosql.mysql
def connect_to_postgresql():
import psycopg2
conn = psycopg2.connect(user=getuser())
cur = conn.cursor()
cur.execute('show server_encoding')
... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from getpass import getuser
from itertools import product
import mosql.util
import mosql.std
import mosql.mysql
def connect_to_postgresql():
import psycopg2
conn = psycopg2.connect(user=getuser())
cur = conn.cursor()
cur.execute('show server_encoding')
... | en | 0.319585 | #!/usr/bin/env python # -*- coding: utf-8 -*- create temporary table _test_value_in_postgresql ( k varchar(128) primary key, v text ) # Test V-P-1: Value - PostgreSQL - All BMP Chars # # It will include all BMP chars, except # # 1. the null byte (U+0000) # 2. utf-16 surrogates (U+D800-U+... | 2.447391 | 2 |
test/unit/test_cli.py | jsm84/ScalitySproxydSwift | 4 | 6622178 | <reponame>jsm84/ScalitySproxydSwift
# Copyright (c) 2015 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 appli... | # Copyright (c) 2015 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, s... | en | 0.776395 | # Copyright (c) 2015 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, s... | 1.832617 | 2 |
webgrid_ta/grids.py | sourcery-ai-bot/webgrid | 9 | 6622179 | from __future__ import absolute_import
from webgrid import BaseGrid as BaseGrid
from webgrid import (
Column,
ColumnGroup,
DateColumn,
DateTimeColumn,
EnumColumn,
LinkColumnBase,
NumericColumn,
TimeColumn,
YesNoColumn,
)
from webgrid.filters import (
DateFilter,
DateTimeFilt... | from __future__ import absolute_import
from webgrid import BaseGrid as BaseGrid
from webgrid import (
Column,
ColumnGroup,
DateColumn,
DateTimeColumn,
EnumColumn,
LinkColumnBase,
NumericColumn,
TimeColumn,
YesNoColumn,
)
from webgrid.filters import (
DateFilter,
DateTimeFilt... | en | 0.055744 | # default sort # default sort # default sort # default sort | 2.17835 | 2 |
scripts/prune_inconsistent.py | shouc/corbfuzz | 1 | 6622180 | <reponame>shouc/corbfuzz<gh_stars>1-10
import sys
import os
import z3
def check(arr):
mappings = {}
gated = []
cter = 0
s = z3.Solver()
for i in arr:
i = i.split(",")
if len(i) < 2:
continue
if i[0].startswith("isset"):
sym, is_defined = i[1], int(i[... | import sys
import os
import z3
def check(arr):
mappings = {}
gated = []
cter = 0
s = z3.Solver()
for i in arr:
i = i.split(",")
if len(i) < 2:
continue
if i[0].startswith("isset"):
sym, is_defined = i[1], int(i[2])
if f"gated_{sym}" not i... | es | 0.20724 | # IS_SMALLER_OR_EQUAL # neq # eq # IS_SMALLER | 2.687891 | 3 |
easy/24.py | pisskidney/leetcode | 0 | 6622181 | <reponame>pisskidney/leetcode
#!/usr/bin/python
class ListNode(object):
def __init__(self, x):
self.val = x
self.next = None
class Solution(object):
def swapPairs(self, head):
if not head or not head.next:
return head
p, res, prev = head, p.next, ListNode(0)
... | #!/usr/bin/python
class ListNode(object):
def __init__(self, x):
self.val = x
self.next = None
class Solution(object):
def swapPairs(self, head):
if not head or not head.next:
return head
p, res, prev = head, p.next, ListNode(0)
while p and p.next:
... | ru | 0.258958 | #!/usr/bin/python | 3.438342 | 3 |
handcam/ltt/datasets/handcam/OniProcessingCpp.py | luketaverne/handcam | 1 | 6622182 | import cv2
import numpy as np
import itertools
import os
# import h5py #put this back in after the h5py package has a new update on pip. See <https://github.com/h5py/h5py/issues/995>
import sys
from handcam.ltt.datasets.handcam.OrbbecCamParams import OrbbecCamParams
# from handcam.ltt.util.Utils import write_progress... | import cv2
import numpy as np
import itertools
import os
# import h5py #put this back in after the h5py package has a new update on pip. See <https://github.com/h5py/h5py/issues/995>
import sys
from handcam.ltt.datasets.handcam.OrbbecCamParams import OrbbecCamParams
# from handcam.ltt.util.Utils import write_progress... | en | 0.776331 | # import h5py #put this back in after the h5py package has a new update on pip. See <https://github.com/h5py/h5py/issues/995> # from handcam.ltt.util.Utils import write_progress_bar # from subprocess import Popen, PIPE # grasp_labels = ['grasp_1', 'grasp_2', 'grasp_3', 'grasp_4', 'grasp_5', 'grasp_6', 'grasp_7'] # Need... | 2.018207 | 2 |
synthetic_data/metrics/plots.py | rustamzh/synthetic_data | 8 | 6622183 | import os
import sys
import joblib
import numpy as np
import pickle as pkl
import pandas as pd
import seaborn as sns
import scipy.stats as stats
from sklearn import metrics
import matplotlib.pyplot as plt
import matplotlib.pylab as pylab
from sklearn.utils import shuffle
from sklearn.decomposition import PCA as PCA
fro... | import os
import sys
import joblib
import numpy as np
import pickle as pkl
import pandas as pd
import seaborn as sns
import scipy.stats as stats
from sklearn import metrics
import matplotlib.pyplot as plt
import matplotlib.pylab as pylab
from sklearn.utils import shuffle
from sklearn.decomposition import PCA as PCA
fro... | en | 0.720266 | Uses `matplotlib` and `seaborn` to plot the test loss, generator loss, discriminator loss across several epochs. Parameters ---------- log_file : string, required The pickle file with all the log values generated by HealthGAN. Plot the loss graph. Parameters ---------- savefig: boolean, optional If ... | 2.415501 | 2 |
fcmpy/expert_fcm/defuzz.py | maxiuw/FcmBci | 5 | 6622184 | from abc import ABC, abstractclassmethod
import skfuzzy as fuzz
from fcmpy.expert_fcm.input_validator import type_check
class Defuzzification(ABC):
"""
Defuzzification methods.
"""
@abstractclassmethod
def defuzz() -> float:
raise NotImplementedError('defuzzification method is not def... | from abc import ABC, abstractclassmethod
import skfuzzy as fuzz
from fcmpy.expert_fcm.input_validator import type_check
class Defuzzification(ABC):
"""
Defuzzification methods.
"""
@abstractclassmethod
def defuzz() -> float:
raise NotImplementedError('defuzzification method is not def... | en | 0.452967 | Defuzzification methods. Centroid difuzzification method (i.e., center of gravity). Centroid difuzzification method (i.e., center of gravity). Other Parameters ---------- **x: numpy.ndarray universe of discourse **mfx: numpy.ndar... | 2.835195 | 3 |
models/ivae/mnist.py | lim0606/pytorch-ardae-vae | 11 | 6622185 | import math
import numpy as np
from scipy import stats
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import autograd
from torch.distributions import MultivariateNormal
from models.layers import Identity, MLP, WNMLP, ContextConcatMLP, ContextScaleMLP, ContextWNScaleMLP, ContextSPScaleML... | import math
import numpy as np
from scipy import stats
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import autograd
from torch.distributions import MultivariateNormal
from models.layers import Identity, MLP, WNMLP, ContextConcatMLP, ContextScaleMLP, ContextWNScaleMLP, ContextSPScaleML... | en | 0.379649 | #torch.nn.init.xavier_normal_(m.weight) #'gaussian', #True, #ctx_dim = noise_dim if not enc_noise else h_dim #self.inp_encode = MLP(input_dim=input_dim, hidden_dim=h_dim, output_dim=h_dim, nonlinearity=nonlinearity, num_hidden_layers=num_hidden_layers-1, use_nonlinearity_output=True) #self.nos_encode = Identity() if no... | 2.059899 | 2 |
napari_imsmicrolink/_tests/test_imsmicrolink.py | NHPatterson/napari-imsmicrolink | 3 | 6622186 | <reponame>NHPatterson/napari-imsmicrolink
# import os
# from pathlib import Path
# from napari_imsmicrolink._dock_widget import IMSMicroLink
#
#
# def test_ims_data_read(make_napari_viewer):
# HERE = os.path.dirname(__file__)
# data_fp = Path(HERE) / "data_tests" / "_test_data" / "bruker_spotlist.txt"
# vie... | # import os
# from pathlib import Path
# from napari_imsmicrolink._dock_widget import IMSMicroLink
#
#
# def test_ims_data_read(make_napari_viewer):
# HERE = os.path.dirname(__file__)
# data_fp = Path(HERE) / "data_tests" / "_test_data" / "bruker_spotlist.txt"
# viewer = make_napari_viewer()
# imsml = I... | en | 0.400634 | # import os # from pathlib import Path # from napari_imsmicrolink._dock_widget import IMSMicroLink # # # def test_ims_data_read(make_napari_viewer): # HERE = os.path.dirname(__file__) # data_fp = Path(HERE) / "data_tests" / "_test_data" / "bruker_spotlist.txt" # viewer = make_napari_viewer() # imsml = I... | 2.135181 | 2 |
fab_deploy_tests/test_project3/test_project3/geo_app/urls.py | erlaveri/django-fab-deploy | 0 | 6622187 | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from django.conf.urls import patterns, include, url
urlpatterns = patterns('test_project3.geo_app.views',
url(r'^distance/$', 'distance'),
)
| # -*- coding: utf-8 -*-
from __future__ import absolute_import
from django.conf.urls import patterns, include, url
urlpatterns = patterns('test_project3.geo_app.views',
url(r'^distance/$', 'distance'),
)
| en | 0.769321 | # -*- coding: utf-8 -*- | 1.494726 | 1 |
test_project/test_export.py | admariner/django-sql-dashboard | 293 | 6622188 | <reponame>admariner/django-sql-dashboard
def test_export_requires_setting(admin_client, dashboard_db):
for key in ("export_csv_0", "export_tsv_0"):
response = admin_client.post(
"/dashboard/",
{
"sql": "SELECT 'hello' as label, * FROM generate_series(0, 10000)",
... | def test_export_requires_setting(admin_client, dashboard_db):
for key in ("export_csv_0", "export_tsv_0"):
response = admin_client.post(
"/dashboard/",
{
"sql": "SELECT 'hello' as label, * FROM generate_series(0, 10000)",
key: "1",
},
... | none | 1 | 2.134319 | 2 | |
venv/lib/python3.8/site-packages/numpy/lib/tests/test__datasource.py | Retraces/UkraineBot | 2 | 6622189 | /home/runner/.cache/pip/pool/1c/b8/43/a6a237eaa2165dd2e663da4f5e965265d45c70c299fa1d94e6397ada01 | /home/runner/.cache/pip/pool/1c/b8/43/a6a237eaa2165dd2e663da4f5e965265d45c70c299fa1d94e6397ada01 | none | 1 | 0.836136 | 1 | |
geocoder/regex_library.py | taurenk/Py-Geocoder | 0 | 6622190 | <filename>geocoder/regex_library.py
"""
12/24/2014
Compile ALL reusable regex in one location, for centralized use.
"""
import re
import standards
class RegexLib:
number_regex = re.compile( r'^\d+[-]?(\w+)?')
po_regex = re.compile( r'(?:(PO BOX|P O BOX)\s(\d*[- ]?\d*))' )
intersection_test = re.compile(r'(?:\s(A... | <filename>geocoder/regex_library.py
"""
12/24/2014
Compile ALL reusable regex in one location, for centralized use.
"""
import re
import standards
class RegexLib:
number_regex = re.compile( r'^\d+[-]?(\w+)?')
po_regex = re.compile( r'(?:(PO BOX|P O BOX)\s(\d*[- ]?\d*))' )
intersection_test = re.compile(r'(?:\s(A... | en | 0.49639 | 12/24/2014 Compile ALL reusable regex in one location, for centralized use. #][A-Z0-9]*') Generate the US States regex string | 2.530848 | 3 |
JiYouMCC/0017/0017.py | hooting/show-me-the-code-python | 0 | 6622191 | # -*- coding: utf-8 -*-
import xlrd
from xml.dom.minidom import Document
from xml.etree.ElementTree import Comment, Element
import json
infos = []
info_file = xlrd.open_workbook('students.xls')
info_table = info_file.sheets()[0]
row_count = info_table.nrows
doc = Document()
root = doc.createElement('root')
doc.appendC... | # -*- coding: utf-8 -*-
import xlrd
from xml.dom.minidom import Document
from xml.etree.ElementTree import Comment, Element
import json
infos = []
info_file = xlrd.open_workbook('students.xls')
info_table = info_file.sheets()[0]
row_count = info_table.nrows
doc = Document()
root = doc.createElement('root')
doc.appendC... | en | 0.769321 | # -*- coding: utf-8 -*- | 2.886786 | 3 |
eqstats/catalogs.py | egdaub/eqstats | 1 | 6622192 | <reponame>egdaub/eqstats
import numpy as np
def omori_times(ncat, nevents, tmin, tmax, b, p=1., detectprob = None):
"""
creates ncat synthetic realizations of an Omori decay in seismicity
parameters are nevents (number of events), tmin (minimum catalog time, main shock is t=0)
tmax (maximum catalog ti... | import numpy as np
def omori_times(ncat, nevents, tmin, tmax, b, p=1., detectprob = None):
"""
creates ncat synthetic realizations of an Omori decay in seismicity
parameters are nevents (number of events), tmin (minimum catalog time, main shock is t=0)
tmax (maximum catalog time), b (Omori time offset... | en | 0.671957 | creates ncat synthetic realizations of an Omori decay in seismicity parameters are nevents (number of events), tmin (minimum catalog time, main shock is t=0) tmax (maximum catalog time), b (Omori time offset, R \propto 1/(b+t)^p) Inputs: ncat = number of realizations nevents = number of events per... | 2.831908 | 3 |
WhileLoop/EasterGuests.py | Rohitm619/Softuni-Python-Basic | 1 | 6622193 | import math
from math import ceil
number_of_guests = int(input())
budget = float(input())
number_of_kozunak = number_of_guests / 3 #ceil
number_of_eggs_needed = number_of_guests * 2
kozunak_price = ceil(number_of_kozunak) * 4
egg_price = number_of_eggs_needed * 0.45
total = kozunak_price + egg_price
diff = total ... | import math
from math import ceil
number_of_guests = int(input())
budget = float(input())
number_of_kozunak = number_of_guests / 3 #ceil
number_of_eggs_needed = number_of_guests * 2
kozunak_price = ceil(number_of_kozunak) * 4
egg_price = number_of_eggs_needed * 0.45
total = kozunak_price + egg_price
diff = total ... | none | 1 | 3.500434 | 4 | |
Q617.py | Linchin/python_leetcode_git | 0 | 6622194 | """
Q617
Merge Two Binary Trees
Easy
Given two binary trees and imagine that when you put one
of them to cover the other, some nodes of the two trees
are overlapped while the others are not.
You need to merge them into a new binary tree. The merge
rule is that if two nodes overlap, then sum node values
up as the new ... | """
Q617
Merge Two Binary Trees
Easy
Given two binary trees and imagine that when you put one
of them to cover the other, some nodes of the two trees
are overlapped while the others are not.
You need to merge them into a new binary tree. The merge
rule is that if two nodes overlap, then sum node values
up as the new ... | en | 0.952031 | Q617 Merge Two Binary Trees Easy Given two binary trees and imagine that when you put one of them to cover the other, some nodes of the two trees are overlapped while the others are not. You need to merge them into a new binary tree. The merge rule is that if two nodes overlap, then sum node values up as the new valu... | 3.827987 | 4 |
tests/stubreferencetest.py | netcharm/ironclad | 0 | 6622195 | <reponame>netcharm/ironclad
import os
from tests.utils.runtest import makesuite, run
from tests.utils.gc import gcwait
from tests.utils.testcase import TestCase
from Ironclad import dgt_getfuncptr, dgt_registerdata, Unmanaged, StubReference
from System import IntPtr
class StubReferenceTest(TestCase):
... | import os
from tests.utils.runtest import makesuite, run
from tests.utils.gc import gcwait
from tests.utils.testcase import TestCase
from Ironclad import dgt_getfuncptr, dgt_registerdata, Unmanaged, StubReference
from System import IntPtr
class StubReferenceTest(TestCase):
def testMapInitUnmapLibrary... | en | 0.823827 | # safe to call Dispose twice # if func not found and callable, error | 2.083995 | 2 |
thai2transformers/auto.py | modem888/thai2transformers | 64 | 6622196 | from collections import OrderedDict
from transformers import (
AutoConfig,
PretrainedConfig
)
from transformers.modeling_bert import BertConfig
from transformers.modeling_roberta import RobertaConfig
from transformers.modeling_xlm_roberta import XLMRobertaConfig
from .models import (
XLMRobertaForMultiLa... | from collections import OrderedDict
from transformers import (
AutoConfig,
PretrainedConfig
)
from transformers.modeling_bert import BertConfig
from transformers.modeling_roberta import RobertaConfig
from transformers.modeling_xlm_roberta import XLMRobertaConfig
from .models import (
XLMRobertaForMultiLa... | en | 0.600123 | Instantiates one of the model classes of the library---with a sequence classification head---from a configuration. Note: Loading a model from its configuration file does **not** load the model weights. It only affects the model's configuration. Use :meth:`~transforme... | 2.594154 | 3 |
renderable_core/services/autoscaler.py | therenderable/renderable-core | 0 | 6622197 | <gh_stars>0
import time
from threading import Thread, Lock
import docker
class Autoscaler:
def __init__(self, hostname, port, certificate_path, cleanup_period, cooldown_period):
self.hostname = hostname
self.port = port
self.certificate_path = certificate_path
self.cleanup_period = cleanup_period
... | import time
from threading import Thread, Lock
import docker
class Autoscaler:
def __init__(self, hostname, port, certificate_path, cleanup_period, cooldown_period):
self.hostname = hostname
self.port = port
self.certificate_path = certificate_path
self.cleanup_period = cleanup_period
self.cool... | none | 1 | 2.453247 | 2 | |
app/models.py | kasamsharif/tdd-flask | 1 | 6622198 | <reponame>kasamsharif/tdd-flask<gh_stars>1-10
from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy()
class ChoiceList(db.Model):
"""This class represents choice list"""
__tableaname__ = "choicelists"
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(255))
created_on = db.... | from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy()
class ChoiceList(db.Model):
"""This class represents choice list"""
__tableaname__ = "choicelists"
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(255))
created_on = db.Column(db.DateTime, default=db.func.current_ti... | en | 0.782571 | This class represents choice list initialize with name. | 3.046776 | 3 |
src/primaires/scripting/extensions/nombre.py | vlegoff/tsunami | 14 | 6622199 | # -*-coding:Utf-8 -*
# Copyright (c) 2010-2017 <NAME>
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
# list of... | # -*-coding:Utf-8 -*
# Copyright (c) 2010-2017 <NAME>
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
# list of... | fr | 0.540872 | # -*-coding:Utf-8 -* # Copyright (c) 2010-2017 <NAME> # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # * Redistributions of source code must retain the above copyright notice, this # list of ... | 1.308947 | 1 |
codes/GP-obtain-2D-LLS.py | AbhilashMathews/gp_extras_applications | 1 | 6622200 | <filename>codes/GP-obtain-2D-LLS.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Sep 27 15:56:39 2019
@author: mathewsa
This script is used for plotting the length scales learned by the GP across the
2D (i.e. radial and temporal) domain specified by the user. This script is to
be run only after ... | <filename>codes/GP-obtain-2D-LLS.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Sep 27 15:56:39 2019
@author: mathewsa
This script is used for plotting the length scales learned by the GP across the
2D (i.e. radial and temporal) domain specified by the user. This script is to
be run only after ... | en | 0.777849 | #!/usr/bin/env python3 # -*- coding: utf-8 -*- Created on Fri Sep 27 15:56:39 2019 @author: mathewsa This script is used for plotting the length scales learned by the GP across the 2D (i.e. radial and temporal) domain specified by the user. This script is to be run only after first running and saving the GP after it... | 2.660349 | 3 |
lib/GuiMain.py | KorvinSilver/proverbial_hangman | 0 | 6622201 | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'GuiMain.ui'
#
# Created: Sun Nov 26 20:51:18 2017
# by: pyside-uic 0.2.15 running on PySide 1.2.4
#
# WARNING! All changes made in this file will be lost!
from PySide import QtCore, QtGui
class Ui_MainWindow(object):
def setupUi(s... | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'GuiMain.ui'
#
# Created: Sun Nov 26 20:51:18 2017
# by: pyside-uic 0.2.15 running on PySide 1.2.4
#
# WARNING! All changes made in this file will be lost!
from PySide import QtCore, QtGui
class Ui_MainWindow(object):
def setupUi(s... | en | 0.79589 | # -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'GuiMain.ui' # # Created: Sun Nov 26 20:51:18 2017 # by: pyside-uic 0.2.15 running on PySide 1.2.4 # # WARNING! All changes made in this file will be lost! | 1.713277 | 2 |
12.Highly divisible triangular number.py | iFun/Project-Euler | 0 | 6622202 | from math import sqrt
def main():
count = 0
totalNumber = 0
tmp = 10001
result = 0
total = 0
while tmp != 20001:
total = getSum(tmp)
result = findDivisor(total)
if len(result) > count:
count = len(result)
totalNumber = total
print (co... | from math import sqrt
def main():
count = 0
totalNumber = 0
tmp = 10001
result = 0
total = 0
while tmp != 20001:
total = getSum(tmp)
result = findDivisor(total)
if len(result) > count:
count = len(result)
totalNumber = total
print (co... | en | 0.658862 | # print(count) # print(totalNumber) | 3.625025 | 4 |
src/main/python/app/workers/CategorySaverWorker.py | karlpet/WadLauncher | 2 | 6622203 | import sys, json, os, uuid
from configparser import ConfigParser
from dataclasses import asdict
from PyQt5.QtCore import QThread, pyqtSignal
from app.config import Config
from app.workers.WorkerPool import *
def category_saver_worker_wrapper(items, progress_handlers=[], done_handlers=[]):
worker = CategorySaverW... | import sys, json, os, uuid
from configparser import ConfigParser
from dataclasses import asdict
from PyQt5.QtCore import QThread, pyqtSignal
from app.config import Config
from app.workers.WorkerPool import *
def category_saver_worker_wrapper(items, progress_handlers=[], done_handlers=[]):
worker = CategorySaverW... | none | 1 | 2.072729 | 2 | |
reports/jasa/transcet_map.py | nedlrichards/tau_decomp | 0 | 6622204 | <filename>reports/jasa/transcet_map.py<gh_stars>0
import numpy as np
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import matplotlib.tri as tri
from scipy.ndimage import gaussian_filter
from src import Config
plt.ion()
cf=Config()
woa_file = np.genfromtxt('data/external/woa18_decav81B0_t14mn04.csv',
... | <filename>reports/jasa/transcet_map.py<gh_stars>0
import numpy as np
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import matplotlib.tri as tri
from scipy.ndimage import gaussian_filter
from src import Config
plt.ion()
cf=Config()
woa_file = np.genfromtxt('data/external/woa18_decav81B0_t14mn04.csv',
... | en | 0.331613 | #m.fillcontinents(color="#FFDDCC", lake_color='#DDEEFF') #parallels = np.linspace(20, 50, 5) #m.drawparallels(parallels,labels=[False,True,True,False]) #meridians = np.linspace(-115, -155, 5) #m.drawmeridians(meridians,labels=[True,False,False,True]) | 1.903875 | 2 |
module1-introduction-to-sql/rpg_queries.py | lucaspetrus/DS-Unit-3-Sprint-2-SQL-and-Databases | 0 | 6622205 | <filename>module1-introduction-to-sql/rpg_queries.py
# Questions for Today
"""How many total Characters are there?
How many of each specific subclass?
How many Items are there?
How many of the Items are weapons? How many are not?
How many Items does each character have? (Return first 20 rows)
How many Weapons does eac... | <filename>module1-introduction-to-sql/rpg_queries.py
# Questions for Today
"""How many total Characters are there?
How many of each specific subclass?
How many Items are there?
How many of the Items are weapons? How many are not?
How many Items does each character have? (Return first 20 rows)
How many Weapons does eac... | en | 0.853223 | # Questions for Today How many total Characters are there? How many of each specific subclass? How many Items are there? How many of the Items are weapons? How many are not? How many Items does each character have? (Return first 20 rows) How many Weapons does each character have? (Return first 20 rows) On average, how ... | 3.266214 | 3 |
util/env_util/wrappers/action_wrappers.py | joelouismarino/variational_rl | 15 | 6622206 | import gym
from gym.spaces import Box
import numpy as np
class NormalizeAction(gym.ActionWrapper):
"""
Normalizes the reward to [-1, 1].
"""
def __init__(self, env):
gym.ActionWrapper.__init__(self, env)
self._wrapped_env = env
ub = np.ones(env.action_space.shape)
self.... | import gym
from gym.spaces import Box
import numpy as np
class NormalizeAction(gym.ActionWrapper):
"""
Normalizes the reward to [-1, 1].
"""
def __init__(self, env):
gym.ActionWrapper.__init__(self, env)
self._wrapped_env = env
ub = np.ones(env.action_space.shape)
self.... | en | 0.777374 | Normalizes the reward to [-1, 1]. | 2.851144 | 3 |
PreFRBLE/PreFRBLE/parameter.py | FRBs/PreFRBLE | 5 | 6622207 | <gh_stars>1-10
redshift_accuracy = 4 # number decimals for redshift accuracy (to prevent numerical misidentification of redshifts)
## regions along LoS
regions = ['MW', 'IGM', 'Inter', 'Host', 'Local']
linestyle_region = {'MW':'--', 'IGM':'-', 'Inter':":", 'Host':"-.", 'Local':"-."}
N_sample = { ## !!! hardcoded, f... | redshift_accuracy = 4 # number decimals for redshift accuracy (to prevent numerical misidentification of redshifts)
## regions along LoS
regions = ['MW', 'IGM', 'Inter', 'Host', 'Local']
linestyle_region = {'MW':'--', 'IGM':'-', 'Inter':":", 'Host':"-.", 'Local':"-."}
N_sample = { ## !!! hardcoded, find a better sol... | en | 0.758201 | # number decimals for redshift accuracy (to prevent numerical misidentification of redshifts) ## regions along LoS ## !!! hardcoded, find a better solution # 'MW' : 1, ## number of events in sample to estimate likelihood of host redshift ## available models for all regions ## telescopes and cosmic population scenar... | 1.884232 | 2 |
python/flask_tox_pytest_helloworld/helloworld/main.py | mir-dhaka/coding_playground | 2 | 6622208 | <reponame>mir-dhaka/coding_playground
#! /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright © 2019 damian <damian@C-DZ-E5500>
#
# Distributed under terms of the MIT license.
from flask import Flask
app = Flask(__name__)
@app.route('/')
def hello_world():
'''hello_world'''
return 'Hell... | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright © 2019 damian <damian@C-DZ-E5500>
#
# Distributed under terms of the MIT license.
from flask import Flask
app = Flask(__name__)
@app.route('/')
def hello_world():
'''hello_world'''
return 'Hello World'
if __name__ == "__main__":
... | en | 0.642924 | #! /usr/bin/env python # -*- coding: utf-8 -*- # vim:fenc=utf-8 # # Copyright © 2019 damian <damian@C-DZ-E5500> # # Distributed under terms of the MIT license. hello_world | 2.386165 | 2 |
backend/bin/test/test_traffic_analyzer.py | anjo-ba/PCAP-Analyzer | 4 | 6622209 | import unittest
from io import StringIO
from unittest.mock import patch
import main.traffic_analyzer as traffic_analyzer
class TestTrafficAnalyzerMethods(unittest.TestCase):
@patch("sys.stdout", new_callable=StringIO)
@patch("sys.argv", "test")
def test_main_function(self, mock_stdout) -> None:... | import unittest
from io import StringIO
from unittest.mock import patch
import main.traffic_analyzer as traffic_analyzer
class TestTrafficAnalyzerMethods(unittest.TestCase):
@patch("sys.stdout", new_callable=StringIO)
@patch("sys.argv", "test")
def test_main_function(self, mock_stdout) -> None:... | none | 1 | 2.727658 | 3 | |
perform.py | amolenaar/roles | 16 | 6622210 | """Test performance between roles and zope3 implementations."""
from timeit import timeit
setup_role = """
from roles import RoleType
class A:
pass
class Role(metaclass=RoleType):
def func(self): pass
a = A()
"""
setup_rolefactory = """
from roles import RoleType
from roles.factory import assignto
class ... | """Test performance between roles and zope3 implementations."""
from timeit import timeit
setup_role = """
from roles import RoleType
class A:
pass
class Role(metaclass=RoleType):
def func(self): pass
a = A()
"""
setup_rolefactory = """
from roles import RoleType
from roles.factory import assignto
class ... | en | 0.572622 | Test performance between roles and zope3 implementations. from roles import RoleType class A: pass class Role(metaclass=RoleType): def func(self): pass a = A() from roles import RoleType from roles.factory import assignto class A: pass class Role(metaclass=RoleType): def func(self): pass @assignto... | 2.582439 | 3 |
archiv/models.py | acdh-oeaw/gtrans | 1 | 6622211 | import re
import reversion
import lxml.etree as ET
from django.contrib.auth.models import User
from django.db import models
from django.urls import reverse
from idprovider.models import IdProvider
from vocabs.models import SkosConcept
from entities.models import Person, Place, Institution
from browsing.browsing_util... | import re
import reversion
import lxml.etree as ET
from django.contrib.auth.models import User
from django.db import models
from django.urls import reverse
from idprovider.models import IdProvider
from vocabs.models import SkosConcept
from entities.models import Person, Place, Institution
from browsing.browsing_util... | de | 0.749971 | Beschreibt eine (archivalische) Resource Saves a copy of the current object and returns it | 1.868942 | 2 |
hadar/optimizer/lp/mapper.py | hadar-solver/hadar | 1 | 6622212 | <filename>hadar/optimizer/lp/mapper.py
# Copyright (c) 2019-2020, RTE (https://www.rte-france.com)
# See AUTHORS.txt
# This Source Code Form is subject to the terms of the Apache License, version 2.0.
# If a copy of the Apache License, version 2.0 was not distributed with this file, you can obtain one at http://www... | <filename>hadar/optimizer/lp/mapper.py
# Copyright (c) 2019-2020, RTE (https://www.rte-france.com)
# See AUTHORS.txt
# This Source Code Form is subject to the terms of the Apache License, version 2.0.
# If a copy of the Apache License, version 2.0 was not distributed with this file, you can obtain one at http://www... | en | 0.672865 | # Copyright (c) 2019-2020, RTE (https://www.rte-france.com) # See AUTHORS.txt # This Source Code Form is subject to the terms of the Apache License, version 2.0. # If a copy of the Apache License, version 2.0 was not distributed with this file, you can obtain one at http://www.apache.org/licenses/LICENSE-2.0. # SP... | 2.44755 | 2 |
union/admin.py | HASSAN1A/Student-Union | 2 | 6622213 | from django.contrib import admin
from .models import StudentUnion,Business,Post,EmergencyService
# Register your models here.
admin.site.register(StudentUnion)
admin.site.register(Business)
admin.site.register(Post)
admin.site.register(EmergencyService)
| from django.contrib import admin
from .models import StudentUnion,Business,Post,EmergencyService
# Register your models here.
admin.site.register(StudentUnion)
admin.site.register(Business)
admin.site.register(Post)
admin.site.register(EmergencyService)
| en | 0.968259 | # Register your models here. | 1.36081 | 1 |
mycnn/data/__init__.py | jacky10001/tf2-mycnn | 0 | 6622214 | <reponame>jacky10001/tf2-mycnn<filename>mycnn/data/__init__.py
# -*- coding: utf-8 -*-
from .cats_vs_dogs import cats_vs_dogs_from_MSCenter
from .cats_vs_dogs import cats_vs_dogs_by_kaggle_zipfile
from .voc_dataset import download_pascal_voc_dataset
from .voc_segment import make_voc_segment_dataset
from .classificat... | # -*- coding: utf-8 -*-
from .cats_vs_dogs import cats_vs_dogs_from_MSCenter
from .cats_vs_dogs import cats_vs_dogs_by_kaggle_zipfile
from .voc_dataset import download_pascal_voc_dataset
from .voc_segment import make_voc_segment_dataset
from .classification import generate_classification_dataset
from .segmentation i... | en | 0.769321 | # -*- coding: utf-8 -*- | 1.394727 | 1 |
pyChocolate/Chocolate.py | kaankarakoc42/pyChocolate | 1 | 6622215 | <filename>pyChocolate/Chocolate.py
from inspect import stack, getframeinfo,getsource
from colorama import Fore,init
from datetime import datetime
# Before reading code u should know
# -> getframeinfo(stack()[1][0]) function getting data about used code line and
# -> that why we can get debug of a code part from ... | <filename>pyChocolate/Chocolate.py
from inspect import stack, getframeinfo,getsource
from colorama import Fore,init
from datetime import datetime
# Before reading code u should know
# -> getframeinfo(stack()[1][0]) function getting data about used code line and
# -> that why we can get debug of a code part from ... | en | 0.482206 | # Before reading code u should know # -> getframeinfo(stack()[1][0]) function getting data about used code line and # -> that why we can get debug of a code part from program #-----------ChocolateFuncs---------- #-----------exporting--------------- #-------------Done------------------ | 2.747956 | 3 |
Neural Collaborative Filtering/CleanData.py | IanSullivan/Recommendation | 0 | 6622216 | <reponame>IanSullivan/Recommendation<gh_stars>0
import pandas as pd
import numpy as np
import random
import time
src = "D:\\data\\h&m images\\h-and-m-personalized-fashion-recommendations\\transactions_train.csv"
# src = "dummy.csv"
final_df_name = 'indexCustomersLabeled20.csv'
df_size = 20000
df = pd.read_csv... | import pandas as pd
import numpy as np
import random
import time
src = "D:\\data\\h&m images\\h-and-m-personalized-fashion-recommendations\\transactions_train.csv"
# src = "dummy.csv"
final_df_name = 'indexCustomersLabeled20.csv'
df_size = 20000
df = pd.read_csv(src)
df = df[:df_size]
# Looking for all un... | en | 0.733328 | # src = "dummy.csv" # Looking for all unique values to map them to an index, embedding layer requires indexes # loop through the data frame with relevant columns, label of 1 indicates it is a real customer item pair # label of 0 indicates it is a fake customer item pair ie; the customer never purchased the item in the ... | 3.053117 | 3 |
config.py | Alexwell/flask-task-manager | 0 | 6622217 | <filename>config.py
# -*- coding: utf-8 -*-
import os
from dotenv import load_dotenv
basedir = os.path.abspath(os.path.dirname(__file__))
load_dotenv(os.path.join(basedir, '.env'))
class Config(object):
SECRET_KEY = os.environ.get('SECRET_KEY') or 'test-secret-key-12ew5fesa7azo14cWfgQfghNccf55'
WTF_CSRF_ENAB... | <filename>config.py
# -*- coding: utf-8 -*-
import os
from dotenv import load_dotenv
basedir = os.path.abspath(os.path.dirname(__file__))
load_dotenv(os.path.join(basedir, '.env'))
class Config(object):
SECRET_KEY = os.environ.get('SECRET_KEY') or 'test-secret-key-12ew5fesa7azo14cWfgQfghNccf55'
WTF_CSRF_ENAB... | en | 0.625722 | # -*- coding: utf-8 -*- # SQLAlchemy settings | 1.857419 | 2 |
aug_runner.py | pabloduque0/cnn_deconv_viz | 0 | 6622218 | <reponame>pabloduque0/cnn_deconv_viz
from augmentation.combineds import wassersteingan
import numpy as np
from preprocessing.imageparser import ImageParser
from constants import *
import gc
import os
import cv2
parser = ImageParser(path_utrech='../Utrecht/subjects',
path_singapore='../Singapore/su... | from augmentation.combineds import wassersteingan
import numpy as np
from preprocessing.imageparser import ImageParser
from constants import *
import gc
import os
import cv2
parser = ImageParser(path_utrech='../Utrecht/subjects',
path_singapore='../Singapore/subjects',
path_am... | en | 0.359067 | LABELS DATA T1 DATA FLAIR DATA DATA CONCAT | 2.23494 | 2 |
loot_generator/__init__.py | Tengro/lootgenerator | 1 | 6622219 | <filename>loot_generator/__init__.py<gh_stars>1-10
__version__ = '0.1.0'
__author__ = '<NAME>'
# Version synonym
VERSION = __version__ | <filename>loot_generator/__init__.py<gh_stars>1-10
__version__ = '0.1.0'
__author__ = '<NAME>'
# Version synonym
VERSION = __version__ | en | 0.963459 | # Version synonym | 1.024621 | 1 |
ex-mundo1/ex025.py | PedroPegado/ex-cursoemvideo | 0 | 6622220 | print('\033[1;35m===== EX 025 =====\033[m')
x = input('Ponha seu nome completo: ')
y = x.lower()
z = 'silva' in y
print(f'Seu nome contém o sobrenome Silva? {z}') | print('\033[1;35m===== EX 025 =====\033[m')
x = input('Ponha seu nome completo: ')
y = x.lower()
z = 'silva' in y
print(f'Seu nome contém o sobrenome Silva? {z}') | none | 1 | 3.609927 | 4 | |
archivematica/fetchDip.py | kngreaves/scripts | 15 | 6622221 | #! usr/bin/env python
# fetch_dip.py
# This script is designed to be run at regular intervals, for example from a crontab.
#
# Downloads a DIP from Archivematica to the TMP_DIR and extracts the tarball.
# Derivatives are created for each file in its objects directory, and they are moved,
# along with the original file... | #! usr/bin/env python
# fetch_dip.py
# This script is designed to be run at regular intervals, for example from a crontab.
#
# Downloads a DIP from Archivematica to the TMP_DIR and extracts the tarball.
# Derivatives are created for each file in its objects directory, and they are moved,
# along with the original file... | en | 0.871718 | #! usr/bin/env python # fetch_dip.py # This script is designed to be run at regular intervals, for example from a crontab. # # Downloads a DIP from Archivematica to the TMP_DIR and extracts the tarball. # Derivatives are created for each file in its objects directory, and they are moved, # along with the original file,... | 2.461854 | 2 |
stlearn/spatials/trajectory/set_root.py | duypham2108/stLearn | 67 | 6622222 | from anndata import AnnData
from typing import Optional, Union
import numpy as np
from stlearn.spatials.trajectory.utils import _correlation_test_helper
def set_root(adata: AnnData, use_label: str, cluster: str, use_raw: bool = False):
"""\
Automatically set the root index.
Parameters
----------
... | from anndata import AnnData
from typing import Optional, Union
import numpy as np
from stlearn.spatials.trajectory.utils import _correlation_test_helper
def set_root(adata: AnnData, use_label: str, cluster: str, use_raw: bool = False):
"""\
Automatically set the root index.
Parameters
----------
... | en | 0.549744 | \ Automatically set the root index. Parameters ---------- adata Annotated data matrix. use_label Use label result of clustering method. cluster Choose cluster to use as root use_raw Use the raw layer Returns ------- Root index # Subset the data ba... | 2.520762 | 3 |
test_repo/a/a.py | antoniopugliese/module-structure | 0 | 6622223 | """
This is module a.
"""
from ..b import b_func
a = "this is file 'a'"
def a_func():
inside_a_func = 'inside a_func()'
b_func()
print("a")
| """
This is module a.
"""
from ..b import b_func
a = "this is file 'a'"
def a_func():
inside_a_func = 'inside a_func()'
b_func()
print("a")
| en | 0.221108 | This is module a. | 3.218747 | 3 |
particletracking/statistics/order_6.py | JamesDownsLab/particletracking | 0 | 6622224 | <filename>particletracking/statistics/order_6.py
import numpy as np
from scipy import spatial
def order_process(features):
points = features[['x', 'y', 'r']].values
orders = order_and_neighbors(points[:, :2])
features['order_r_nearest_6'] = np.real(orders).astype('float32')
features['order_i_nearest_6... | <filename>particletracking/statistics/order_6.py
import numpy as np
from scipy import spatial
def order_process(features):
points = features[['x', 'y', 'r']].values
orders = order_and_neighbors(points[:, :2])
features['order_r_nearest_6'] = np.real(orders).astype('float32')
features['order_i_nearest_6... | none | 1 | 2.228335 | 2 | |
notebooks/plot_3freq.py | nedlrichards/canope_gw_scatter | 0 | 6622225 | import numpy as np
import scipy.signal as sig
import scipy.io as load_mat
from math import pi
import matplotlib.pyplot as plt
from src import xponder
#plt.ion()
xp = xponder()
for hr in range(24):
load_file = 'nav_253' + f'{hr:02}' + '5458.nc'
try:
p_raw, p_raw_ft = xp.load_raw(load_file)
excep... | import numpy as np
import scipy.signal as sig
import scipy.io as load_mat
from math import pi
import matplotlib.pyplot as plt
from src import xponder
#plt.ion()
xp = xponder()
for hr in range(24):
load_file = 'nav_253' + f'{hr:02}' + '5458.nc'
try:
p_raw, p_raw_ft = xp.load_raw(load_file)
excep... | ru | 0.419184 | #plt.ion() | 2.002217 | 2 |
backend/server/tests/wrapper_test/mock_fixture.py | FlickerSoul/Graphery | 5 | 6622226 | <filename>backend/server/tests/wrapper_test/mock_fixture.py
import os
import pathlib
from uuid import UUID
import pytest
from django.conf import settings
from django.core.files import File
from backend.model.TutorialRelatedModel import Category, Tutorial, Graph, GraphPriority, Code, ExecResultJson, Uploads
from backe... | <filename>backend/server/tests/wrapper_test/mock_fixture.py
import os
import pathlib
from uuid import UUID
import pytest
from django.conf import settings
from django.core.files import File
from backend.model.TutorialRelatedModel import Category, Tutorial, Graph, GraphPriority, Code, ExecResultJson, Uploads
from backe... | en | 0.955627 | # omitted since the password field is a encrypted version of it # omitted since the password field is a encrypted version of it # omitted since the password field is a encrypted version of it # no breakpoints for now # no breakpoints for now | 2.111997 | 2 |
hlrobot_gazebo/scripts/publisher.py | liuxiao916/HLRobot_gazebo | 8 | 6622227 | <filename>hlrobot_gazebo/scripts/publisher.py
#!/usr/bin/env python
import rospy
from std_msgs.msg import Float64MultiArray
#path = '/home/liuxiao/catkin_ws/src/HLRobot_gazebo/cubicTrajectoryPlanning/data/PPB/littlestar.txt'
parent_path = os.path.abspath(os.path.dirname(os.path.dirname(__file__)))
path = os.path.join... | <filename>hlrobot_gazebo/scripts/publisher.py
#!/usr/bin/env python
import rospy
from std_msgs.msg import Float64MultiArray
#path = '/home/liuxiao/catkin_ws/src/HLRobot_gazebo/cubicTrajectoryPlanning/data/PPB/littlestar.txt'
parent_path = os.path.abspath(os.path.dirname(os.path.dirname(__file__)))
path = os.path.join... | en | 0.383555 | #!/usr/bin/env python #path = '/home/liuxiao/catkin_ws/src/HLRobot_gazebo/cubicTrajectoryPlanning/data/PPB/littlestar.txt' | 2.178475 | 2 |
screens/mobility.py | IvyHan2013/Mobile-Visualization | 0 | 6622228 | from . import HomeScreen
from kivy.lang import Builder
Builder.load_file('screens/mobility.kv')
class MobilityScreen(HomeScreen):
pass
| from . import HomeScreen
from kivy.lang import Builder
Builder.load_file('screens/mobility.kv')
class MobilityScreen(HomeScreen):
pass
| none | 1 | 1.175871 | 1 | |
python/raft/timer_thread.py | chenzhaoplus/vraft | 23 | 6622229 | import sys
import threading
from random import randrange
import logging
from monitor import send_state_update
logging.basicConfig(format='%(asctime)s - %(levelname)s: %(message)s', datefmt='%H:%M:%S', level=logging.INFO)
from Candidate import Candidate, VoteRequest
from Follower import Follower
from Leader import Le... | import sys
import threading
from random import randrange
import logging
from monitor import send_state_update
logging.basicConfig(format='%(asctime)s - %(levelname)s: %(message)s', datefmt='%H:%M:%S', level=logging.INFO)
from Candidate import Candidate, VoteRequest
from Follower import Follower
from Leader import Le... | en | 0.640115 | # input: candidate (id, term, lastLogIndex, lastLogTerm) # output: term, vote_granted # rule: # 1. return false if candidate.term < current_term # 2. return true if (voteFor is None or voteFor==candidate.id) and candidate's log is newer than receiver's | 2.61062 | 3 |
cap_4/listagem/digits.py | rsmonteiro2021/execicios_python | 1 | 6622230 | #Estatíticas simples com uma lista de números.
digits = [1, 2, 3, 4, 5, 6, 7, 8, 9, 0]
print(min(digits))
print(max(digits))
print(sum(digits))
#List Comprehensions
squares = [value**2 for value in range(1,11)]
print(squares)
| #Estatíticas simples com uma lista de números.
digits = [1, 2, 3, 4, 5, 6, 7, 8, 9, 0]
print(min(digits))
print(max(digits))
print(sum(digits))
#List Comprehensions
squares = [value**2 for value in range(1,11)]
print(squares)
| pt | 0.981839 | #Estatíticas simples com uma lista de números. #List Comprehensions | 4.023802 | 4 |
capital_spans.py | patmanteau/panflutist | 0 | 6622231 | #!/usr/bin/env python
"""
Panflute filter for setting C A P I T A L text, with tracking. Use if []{.smallcaps}
is too weak.
Usage:
- In Pandoc markdown, use a bracketed Span of class allcaps: [TRAJAN]{.allcaps}
- The produced LaTeX output has several requirements:
- The Microtype package for tracking (i.e., its \\t... | #!/usr/bin/env python
"""
Panflute filter for setting C A P I T A L text, with tracking. Use if []{.smallcaps}
is too weak.
Usage:
- In Pandoc markdown, use a bracketed Span of class allcaps: [TRAJAN]{.allcaps}
- The produced LaTeX output has several requirements:
- The Microtype package for tracking (i.e., its \\t... | en | 0.59151 | #!/usr/bin/env python Panflute filter for setting C A P I T A L text, with tracking. Use if []{.smallcaps} is too weak. Usage: - In Pandoc markdown, use a bracketed Span of class allcaps: [TRAJAN]{.allcaps} - The produced LaTeX output has several requirements: - The Microtype package for tracking (i.e., its \\textl... | 2.54065 | 3 |
sdk/python/pulumi_aws_native/apigateway/get_gateway_response.py | pulumi/pulumi-aws-native | 29 | 6622232 | <filename>sdk/python/pulumi_aws_native/apigateway/get_gateway_response.py
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, M... | <filename>sdk/python/pulumi_aws_native/apigateway/get_gateway_response.py
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, M... | en | 0.731317 | # coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** A Cloudformation auto generated ID. The response parameters (paths, query strings, and headers) for the response. The response templates for the respons... | 1.821557 | 2 |
keshe/models.py | kongqiahaha/databasekeshe | 0 | 6622233 | <filename>keshe/models.py<gh_stars>0
from django.utils import timezone
from django.contrib.auth.models import User
from django.db import models
# Create your models here.
# 图书
class Book(models.Model):
b_id = models.AutoField(primary_key=True)
b_name = models.CharField(max_length=30)
b_author = models.Ch... | <filename>keshe/models.py<gh_stars>0
from django.utils import timezone
from django.contrib.auth.models import User
from django.db import models
# Create your models here.
# 图书
class Book(models.Model):
b_id = models.AutoField(primary_key=True)
b_name = models.CharField(max_length=30)
b_author = models.Ch... | zh | 0.67504 | # Create your models here. # 图书 # 老师 # 学生 # 职称类型 # 老师借阅 # 学生借阅 # 图书类型 | 2.459894 | 2 |
tests/hmc_test.py | dfm/rmhmc | 4 | 6622234 | import jax.numpy as jnp
import numpy as np
from jax import random
from rmhmc.hmc import hmc
from .problems import banana
def test_divergence() -> None:
system = hmc(banana(False, False), initial_step_size=1000.0)
state = system.init(jnp.array([0.3, 0.5]))
state_ = system.step(state, random.PRNGKey(5))
... | import jax.numpy as jnp
import numpy as np
from jax import random
from rmhmc.hmc import hmc
from .problems import banana
def test_divergence() -> None:
system = hmc(banana(False, False), initial_step_size=1000.0)
state = system.init(jnp.array([0.3, 0.5]))
state_ = system.step(state, random.PRNGKey(5))
... | none | 1 | 2.369296 | 2 | |
control_input_value.py | EFatihAydin/random_sentence | 0 | 6622235 | from functools import reduce
import numpy as np
#clean : clean text by turkish words
def clean(text):
d = { "Ş":"ş", "İ":"i", "Ü":"ü", "Ç":"ç", "Ö":"ö", "Ğ":"ğ", "I":"ı", "Î":"ı", "Û":"u", "Â":"a" , "â":"a" , "î":"ı" , "û":"u" }
text = reduce( lambda x, y: x.replace( y,d[y] ),d,text )
text = text.lower()
text = t... | from functools import reduce
import numpy as np
#clean : clean text by turkish words
def clean(text):
d = { "Ş":"ş", "İ":"i", "Ü":"ü", "Ç":"ç", "Ö":"ö", "Ğ":"ğ", "I":"ı", "Î":"ı", "Û":"u", "Â":"a" , "â":"a" , "î":"ı" , "û":"u" }
text = reduce( lambda x, y: x.replace( y,d[y] ),d,text )
text = text.lower()
text = t... | en | 0.548031 | #clean : clean text by turkish words #trinity: parse line into three characters #variable #char: columns name for matrix #twchar: rows name for matrix #print(len(char))#53 #print(len(twchar))#2809 #add number to name for create matrix #print( mrowname ) #print( mcolname ) #read matrix in file #trial steps | 3.742527 | 4 |
mundo_02_est_controle/ex052.py | icarofilho/estudonauta_python | 0 | 6622236 | num = int(input("Digite um número: "))
qtd = 0
for n in range(1,num+1):
if num % n == 0:
print(f"\033[34m{n}",end="\033[m ")
qtd += 1
else:
print(f"\033[33m{n}",end="\033[m ")
if qtd == 2:
print(f"\nO número {num} foi divisível {qtd} vezes.\nE por isso ele é PRIMO")
else:
print(... | num = int(input("Digite um número: "))
qtd = 0
for n in range(1,num+1):
if num % n == 0:
print(f"\033[34m{n}",end="\033[m ")
qtd += 1
else:
print(f"\033[33m{n}",end="\033[m ")
if qtd == 2:
print(f"\nO número {num} foi divisível {qtd} vezes.\nE por isso ele é PRIMO")
else:
print(... | none | 1 | 4.043223 | 4 | |
utils/quantize_model.py | raja-kumar/Hybrid_and_Non-uniform_quantization | 0 | 6622237 | import torch
import torch.nn as nn
import copy
from .quantization_utils.quant_modules import *
from pytorchcv.models.common import ConvBlock
from pytorchcv.models.shufflenetv2 import ShuffleUnit, ShuffleInitBlock
def quantize_model(model):
"""
Recursively quantize a pretrained single-precision model... | import torch
import torch.nn as nn
import copy
from .quantization_utils.quant_modules import *
from pytorchcv.models.common import ConvBlock
from pytorchcv.models.shufflenetv2 import ShuffleUnit, ShuffleInitBlock
def quantize_model(model):
"""
Recursively quantize a pretrained single-precision model... | en | 0.716891 | Recursively quantize a pretrained single-precision model to int8 quantized model
model: pretrained single-precision model # quantize convolutional and linear layers to 8-bit # quantize all the activation to 8-bit # recursively use the quantized module to replace the single-precision module freeze the activation ra... | 2.607368 | 3 |
nucosMQ/nucosServer.py | NuCOS/nucosMQ | 1 | 6622238 | from __future__ import print_function
from __future__ import absolute_import
from .nucos23 import ispython3
if ispython3:
import socketserver
import queue
else:
import SocketServer as socketserver
import Queue as queue
from threading import Thread
import time
import copy
import socket
from ins... | from __future__ import print_function
from __future__ import absolute_import
from .nucos23 import ispython3
if ispython3:
import socketserver
import queue
else:
import SocketServer as socketserver
import Queue as queue
from threading import Thread
import time
import copy
import socket
from ins... | en | 0.7116 | #palace = {} #disconnect-handler #connect-handler #receive-handler cleans all traces of connection data in the globals close the socket if close-flag is True, otherwise not #except: # pass #TODO remove singular rooms #print(connection_sid, connection_auth, palace) The server handler class #longest possible open ... | 1.957857 | 2 |
tdc3/models/py/data/Util.py | TDC3Tool/TDC3 | 0 | 6622239 | from os import listdir
from os.path import isfile, join
from torch.utils.data import random_split
def json_files_in_dir(dir):
return [join(dir, f) for f in listdir(
dir) if isfile(join(dir, f)) and f.endswith(".json")]
def split_dataset(dataset, train_perc):
print("Splitting data into training and v... | from os import listdir
from os.path import isfile, join
from torch.utils.data import random_split
def json_files_in_dir(dir):
return [join(dir, f) for f in listdir(
dir) if isfile(join(dir, f)) and f.endswith(".json")]
def split_dataset(dataset, train_perc):
print("Splitting data into training and v... | none | 1 | 2.747796 | 3 | |
src/Crawler.py | dubzzz/py-linkedin-crawler | 0 | 6622240 | <reponame>dubzzz/py-linkedin-crawler<filename>src/Crawler.py
import sys
import json
import re
import requests
from collections import deque
class Crawler:
# Static attributes
PROFILE_URL = "https://www.linkedin.com/profile/view?id={id}"
CONTACTS_PER_PROFILE = 10
PROFILE_CONTACTS = "https://www.linkedin... | import sys
import json
import re
import requests
from collections import deque
class Crawler:
# Static attributes
PROFILE_URL = "https://www.linkedin.com/profile/view?id={id}"
CONTACTS_PER_PROFILE = 10
PROFILE_CONTACTS = "https://www.linkedin.com/profile/profile-v2-connections?id={id}&offset={offset}&c... | en | 0.812948 | # Static attributes # Open login page in order to avoid CSRF problems # Find the form # Find relevant fields details # Add login/password in the fields # Log in # Save cookies for next calls Add a profile in self.to_be_tested Perform checks before adding anything # Check Crawl from connections conditions # Upda... | 2.791581 | 3 |
ophelia/reactrole/dm_lock.py | zanzivyr/Ophelia | 2 | 6622241 | """
DM Queue Module.
Pylint's too few public methods is disabled here since we're not really
using DMLock for a purpose that something else might satisfy better,
such as dataclasses.
The implementation here can be hard to follow, and while there is a
variable inside asyncio.Lock that would help with this (_waiters), ... | """
DM Queue Module.
Pylint's too few public methods is disabled here since we're not really
using DMLock for a purpose that something else might satisfy better,
such as dataclasses.
The implementation here can be hard to follow, and while there is a
variable inside asyncio.Lock that would help with this (_waiters), ... | en | 0.958774 | DM Queue Module. Pylint's too few public methods is disabled here since we're not really using DMLock for a purpose that something else might satisfy better, such as dataclasses. The implementation here can be hard to follow, and while there is a variable inside asyncio.Lock that would help with this (_waiters), that... | 2.873784 | 3 |
setup.py | janelia-pypi/lickport_array_python | 0 | 6622242 | import pathlib
import codecs
import setuptools
here = pathlib.Path(__file__).resolve().parent
with codecs.open(here.joinpath('DESCRIPTION.rst'), encoding='utf-8') as f:
long_description = f.read()
setuptools.setup(
name='lickport_array_interface',
use_scm_version = True,
setup_requires=['setuptools... | import pathlib
import codecs
import setuptools
here = pathlib.Path(__file__).resolve().parent
with codecs.open(here.joinpath('DESCRIPTION.rst'), encoding='utf-8') as f:
long_description = f.read()
setuptools.setup(
name='lickport_array_interface',
use_scm_version = True,
setup_requires=['setuptools... | none | 1 | 1.297128 | 1 | |
example.py | dogeplusplus/sandbox | 0 | 6622243 | import torch
import torch.nn as nn
import torch.nn.functional as F
b = 20
t = 30
k = 10
x = torch.ones((b,t,k))
raw_weights = torch.bmm(x, x.transpose(1,2))
weights = F.softmax(raw_weights, dim=2)
y = torch.bmm(weights, x)
class SelfAttention(nn.Module):
def __init__(self, k, heads=8):
super().__init_... | import torch
import torch.nn as nn
import torch.nn.functional as F
b = 20
t = 30
k = 10
x = torch.ones((b,t,k))
raw_weights = torch.bmm(x, x.transpose(1,2))
weights = F.softmax(raw_weights, dim=2)
y = torch.bmm(weights, x)
class SelfAttention(nn.Module):
def __init__(self, k, heads=8):
super().__init_... | none | 1 | 2.633807 | 3 | |
wifid.py | mertkoc/wifidirect_linux | 1 | 6622244 | <gh_stars>1-10
import os
import time
def _copy_file_no_overwriting(src, dst):
import shutil
if not os.path.isfile(dst):
print('copying... ', dst)
shutil.copyfile(src, dst)
def setup_conf_files():
"""Setup configuration files that are needed to run start_as_go~().
:return: None
... | import os
import time
def _copy_file_no_overwriting(src, dst):
import shutil
if not os.path.isfile(dst):
print('copying... ', dst)
shutil.copyfile(src, dst)
def setup_conf_files():
"""Setup configuration files that are needed to run start_as_go~().
:return: None
"""
dir_ = ... | en | 0.762429 | Setup configuration files that are needed to run start_as_go~(). :return: None # a directory those .conf files are in Starts a Wifi direct interface as GO (Tested on Fedora 26) 1. Destroy dhcpd and a wifi connection. (It usually takes some little time to kill off a wifi thing so wait for couple seconds...) ... | 2.561586 | 3 |
Kai/python/modules/simpletrigger.py | NJManganelli/FourTopNAOD | 1 | 6622245 | import ROOT
import collections, math
from PhysicsTools.NanoAODTools.postprocessing.framework.datamodel import Collection, Object
from PhysicsTools.NanoAODTools.postprocessing.framework.eventloop import Module
class Trigger(Module):
def __init__(self, Trigger):
self.counting = 0
self.maxEventsToProc... | import ROOT
import collections, math
from PhysicsTools.NanoAODTools.postprocessing.framework.datamodel import Collection, Object
from PhysicsTools.NanoAODTools.postprocessing.framework.eventloop import Module
class Trigger(Module):
def __init__(self, Trigger):
self.counting = 0
self.maxEventsToProc... | en | 0.654863 | process event, return True (go to next module) or False (fail, go to next event) #First N events #run = getattr(event, "run") #evt = getattr(event, "event") #lumi = getattr(event, "luminosityBlock") #print(getattr(event, trig)) #else: #print("No trigger fired") | 2.452106 | 2 |
Display/Pages/RoomPage.py | nataliap13/PT-Warcaby | 0 | 6622246 | from selenium.webdriver.common.by import By
from Locators import Locator
class Room(object):
def __init__(self, driver):
self.driver = driver
self.KindOfRoom = driver.find_element(By.XPATH, Locator.KindOfRoom)
def click_OpenList(self):
self.KindOfRoom.click()
| from selenium.webdriver.common.by import By
from Locators import Locator
class Room(object):
def __init__(self, driver):
self.driver = driver
self.KindOfRoom = driver.find_element(By.XPATH, Locator.KindOfRoom)
def click_OpenList(self):
self.KindOfRoom.click()
| none | 1 | 2.68371 | 3 | |
TEST3D/GUI/0010200_page_pixsel/log.py | usnistgov/OOF3D | 31 | 6622247 | <gh_stars>10-100
# -*- python -*-
# This software was produced by NIST, an agency of the U.S. government,
# and by statute is not subject to copyright in the United States.
# Recipients of this software assume all responsibilities associated
# with its operation, modification and maintenance. However, to
# facilitate ... | # -*- python -*-
# This software was produced by NIST, an agency of the U.S. government,
# and by statute is not subject to copyright in the United States.
# Recipients of this software assume all responsibilities associated
# with its operation, modification and maintenance. However, to
# facilitate maintenance we as... | en | 0.949105 | # -*- python -*- # This software was produced by NIST, an agency of the U.S. government, # and by statute is not subject to copyright in the United States. # Recipients of this software assume all responsibilities associated # with its operation, modification and maintenance. However, to # facilitate maintenance we ask... | 1.76617 | 2 |
RT_Task.py | SamuelBishop/AVSS | 0 | 6622248 | #!/usr/bin/python
import queue
import threading
import time
exitFlag = 0
class myThread (threading.Thread):
def __init__(self, threadID, name, q):
threading.Thread.__init__(self)
self.threadID = threadID
self.name = name
self.q = q
def run(self):
print("Starting " + self.name)
... | #!/usr/bin/python
import queue
import threading
import time
exitFlag = 0
class myThread (threading.Thread):
def __init__(self, threadID, name, q):
threading.Thread.__init__(self)
self.threadID = threadID
self.name = name
self.q = q
def run(self):
print("Starting " + self.name)
... | en | 0.633932 | #!/usr/bin/python # logging.error(time_now, e) # logging.error(time_now, e) # logging.error(timeNow, e) # Create new threads # Fill the queue # Wait for queue to empty # Notify threads it's time to exit # Wait for all threads to complete | 3.201757 | 3 |
tti/utils/plot.py | Bill-Software-Engineer/trading-technical-indicators | 68 | 6622249 | """
Trading-Technical-Indicators (tti) python library
File name: plot.py
Plotting methods defined under the tti.utils package.
"""
import pandas as pd
import matplotlib.pyplot as plt
def linesGraph(data, y_label, title, lines_color, alpha_values, areas,
x_label='Date'):
"""
Returns a line... | """
Trading-Technical-Indicators (tti) python library
File name: plot.py
Plotting methods defined under the tti.utils package.
"""
import pandas as pd
import matplotlib.pyplot as plt
def linesGraph(data, y_label, title, lines_color, alpha_values, areas,
x_label='Date'):
"""
Returns a line... | en | 0.734471 | Trading-Technical-Indicators (tti) python library File name: plot.py Plotting methods defined under the tti.utils package. Returns a lines graph of type matplotlib.pyplot. The graph can be either a figure with a single plot, or a figure containing two vertical subplots. Parameters: data (panda... | 3.60033 | 4 |
Python-For-Everyone-Horstmann/Chapter10-Inheritance/test_10_8.py | islayy/Books-solutions | 0 | 6622250 | <reponame>islayy/Books-solutions<gh_stars>0
# Unit tests for P10_8.py
# IMPORTS
from P10_8 import Person
from P10_8 import Student
import unittest
class PersonTests(unittest.TestCase):
def setUp(self):
self.p = Person("John", 1986)
def test_get_name(self):
self.assertEqual("John", self.p.ge... | # Unit tests for P10_8.py
# IMPORTS
from P10_8 import Person
from P10_8 import Student
import unittest
class PersonTests(unittest.TestCase):
def setUp(self):
self.p = Person("John", 1986)
def test_get_name(self):
self.assertEqual("John", self.p.get_name())
def test_get_birth_year(self)... | en | 0.633987 | # Unit tests for P10_8.py # IMPORTS # PROGRAM RUN | 3.454525 | 3 |