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 |
|---|---|---|---|---|---|---|---|---|---|---|
setup.py | chadoneba/django-planfix | 1 | 6622751 | <gh_stars>1-10
#!/usr/bin/env python
# -*- coding: utf-8 -*-
try:
from setuptools import setup
except ImportError:
from ez_setup import use_setuptools
use_setuptools()
from setuptools import setup
setup(
name='django-planfix',
version='0.4',
description='Add contanct and task to Planfix',
... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
try:
from setuptools import setup
except ImportError:
from ez_setup import use_setuptools
use_setuptools()
from setuptools import setup
setup(
name='django-planfix',
version='0.4',
description='Add contanct and task to Planfix',
author='<NA... | en | 0.352855 | #!/usr/bin/env python # -*- coding: utf-8 -*- | 1.353011 | 1 |
tests/test_relative_strength_index.py | dibyajyotidash/https-github.com-kylejusticemagnuson-pyti | 635 | 6622752 | from __future__ import absolute_import
import unittest
import numpy as np
from tests.sample_data import SampleData
from pyti import relative_strength_index
class TestRelativeStrengthIndex(unittest.TestCase):
def setUp(self):
"""Create data to use for testing."""
self.data = SampleData().get_sampl... | from __future__ import absolute_import
import unittest
import numpy as np
from tests.sample_data import SampleData
from pyti import relative_strength_index
class TestRelativeStrengthIndex(unittest.TestCase):
def setUp(self):
"""Create data to use for testing."""
self.data = SampleData().get_sampl... | en | 0.893735 | Create data to use for testing. | 2.303478 | 2 |
normal_map.py | thinhnguyenuit/sombra | 10 | 6622753 | import numpy as np
# Local Modules
from constants import MAX_COLOR_VALUE
from texture import ImageTexture, SolidImageTexture
import utils
class NormalMap:
def __init__(self, texture, obj):
self.texture = texture
self.obj = obj
def get_normal(self, p):
if isinstance(self.texture, Image... | import numpy as np
# Local Modules
from constants import MAX_COLOR_VALUE
from texture import ImageTexture, SolidImageTexture
import utils
class NormalMap:
def __init__(self, texture, obj):
self.texture = texture
self.obj = obj
def get_normal(self, p):
if isinstance(self.texture, Image... | en | 0.954803 | # Local Modules # x and y will be from [-1 to 1] and z from [0 to 1] | 2.761683 | 3 |
dict/views.py | uglyboxer/slang | 0 | 6622754 | <reponame>uglyboxer/slang<filename>dict/views.py<gh_stars>0
import requests
import json
import urllib
import logging
import sys
from lxml import html
from django.shortcuts import render
from django.db.models import Q
from dict.models import Entry
from dict.utils import get_translation
def home_page(request):
... | import requests
import json
import urllib
import logging
import sys
from lxml import html
from django.shortcuts import render
from django.db.models import Q
from dict.models import Entry
from dict.utils import get_translation
def home_page(request):
entries = Entry.objects.all().order_by('-queries')[:5]
r... | en | 0.203548 | # logger.exception('Error in db lookup') # logger.exception('Error in urbandict call') # logger.exception('Error in asihablamos call') | 2.23997 | 2 |
mocks/openedx/core/lib/api/__init__.py | appsembler/course-cccess-groups | 4 | 6622755 | <reponame>appsembler/course-cccess-groups<filename>mocks/openedx/core/lib/api/__init__.py
"""
Mocks for openedx.core.lib.api.
"""
| """
Mocks for openedx.core.lib.api.
""" | en | 0.57496 | Mocks for openedx.core.lib.api. | 1.046962 | 1 |
server/utils.py | cyy0523xc/openpose-server | 0 | 6622756 | # -*- coding: utf-8 -*-
#
#
# Author: alex
# Created Time: 2019年09月09日 星期一 15时51分40秒
import re
import io
import cv2
import base64
from PIL import Image
import numpy as np
def parse_input_image(image='', image_path='', image_type='jpg'):
"""人脸检测（输入的是base64编码的图像）
:param image 图片对象使用base64编码
:param image_pat... | # -*- coding: utf-8 -*-
#
#
# Author: alex
# Created Time: 2019年09月09日 星期一 15时51分40秒
import re
import io
import cv2
import base64
from PIL import Image
import numpy as np
def parse_input_image(image='', image_path='', image_type='jpg'):
"""人脸检测（输入的是base64编码的图像）
:param image 图片对象使用base64编码
:param image_pat... | zh | 0.807897 | # -*- coding: utf-8 -*- # # # Author: alex # Created Time: 2019年09月09日 星期一 15时51分40秒 人脸检测（输入的是base64编码的图像） :param image 图片对象使用base64编码 :param image_path 图片路径 :param image_type 输入图像类型, 取值jpg或者png :return image # 自动判断类型 # 先转化为jpg cv2转base64字符串 | 3.125835 | 3 |
Problem 27 - Quadratic primes/quadprim.py | kameranis/Project_Euler | 0 | 6622757 | """
Quadratic primes
Finds a*b where n^2 + a*n + b yields the most primes
<NAME> 21.11.2013
"""
def quad(n, a, b):
return n*n + b*n + a
array=[0]*100000
array[0]=1
array[1]=1
for i in xrange(100000):
if array[i]:
continue
for x in xrange(i, 100000/i):
array[i*x]=1
maxi = 0
maxproduct = 0
f... | """
Quadratic primes
Finds a*b where n^2 + a*n + b yields the most primes
<NAME> 21.11.2013
"""
def quad(n, a, b):
return n*n + b*n + a
array=[0]*100000
array[0]=1
array[1]=1
for i in xrange(100000):
if array[i]:
continue
for x in xrange(i, 100000/i):
array[i*x]=1
maxi = 0
maxproduct = 0
f... | en | 0.36535 | Quadratic primes Finds a*b where n^2 + a*n + b yields the most primes <NAME> 21.11.2013 | 3.740986 | 4 |
chapter2/intogen-arrays/lib/pubmed.py | chris-zen/phd-thesis | 1 | 6622758 | import urllib
import urllib2
from lxml import etree
class Pubmed():
def __init__(self):
self.__url = "http://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi"
def find(self, pmid):
if isinstance(pmid, basestring):
pmid = [pmid]
pmid = ",".join(pmid)
data = urllib.urlencode({"db" : "pubmed", "id" : pmi... | import urllib
import urllib2
from lxml import etree
class Pubmed():
def __init__(self):
self.__url = "http://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi"
def find(self, pmid):
if isinstance(pmid, basestring):
pmid = [pmid]
pmid = ",".join(pmid)
data = urllib.urlencode({"db" : "pubmed", "id" : pmi... | en | 0.636004 | #else: # article[k] = "" | 3.311635 | 3 |
migrate_tool/services/url_list.py | zhengsunf/kitmanzheng | 0 | 6622759 | # -*- coding: utf-8 -*-
from migrate_tool import storage_service
from migrate_tool import task
from logging import getLogger
import requests
import urlparse
import hashlib
logger = getLogger(__name__)
class UrlListService(storage_service.StorageService):
def __init__(self, *args, **kwargs):
self._url_... | # -*- coding: utf-8 -*-
from migrate_tool import storage_service
from migrate_tool import task
from logging import getLogger
import requests
import urlparse
import hashlib
logger = getLogger(__name__)
class UrlListService(storage_service.StorageService):
def __init__(self, *args, **kwargs):
self._url_... | en | 0.699443 | # -*- coding: utf-8 -*- # size stores the sha1 or md5 of file # validate # print "task: ", task | 2.297465 | 2 |
torchlite/data/fetcher.py | EKami/EzeeML | 35 | 6622760 | import urllib.request
import os
from kaggle_data.downloader import KaggleDataDownloader
from tqdm import tqdm
class KaggleDatasetFetcher:
"""
A tool used to automatically download datasets from Kaggle
TODO: Use https://github.com/Kaggle/kaggle-api
"""
@staticmethod
def download_datase... | import urllib.request
import os
from kaggle_data.downloader import KaggleDataDownloader
from tqdm import tqdm
class KaggleDatasetFetcher:
"""
A tool used to automatically download datasets from Kaggle
TODO: Use https://github.com/Kaggle/kaggle-api
"""
@staticmethod
def download_datase... | en | 0.726472 | A tool used to automatically download datasets from Kaggle TODO: Use https://github.com/Kaggle/kaggle-api Downloads the dataset and return the input paths. Do not download again if the data is already present. You need to define $KAGGLE_USER and $KAGGLE_PASSWD in your environment ... | 2.914596 | 3 |
src/solutions/common/bizz/forms/statistics.py | goubertbrent/oca-backend | 0 | 6622761 | # -*- coding: utf-8 -*-
# Copyright 2020 Green Valley Belgium NV
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | # -*- coding: utf-8 -*-
# Copyright 2020 Green Valley Belgium NV
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | en | 0.803268 | # -*- coding: utf-8 -*- # Copyright 2020 Green Valley Belgium NV # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by appl... | 1.784735 | 2 |
load_data.py | wheemyungshin/StockPrediction_CapstoneDA2021-1 | 1 | 6622762 | <gh_stars>1-10
max_test_size = 11
simulation_size = 4
sample_step = 1
split_iter = 37
split_stride = 1
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.preprocessing import MinMaxScaler
from tqdm import tqdm
import sys
import warnings
import torch
import torch.nn as nn
import torch... | max_test_size = 11
simulation_size = 4
sample_step = 1
split_iter = 37
split_stride = 1
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.preprocessing import MinMaxScaler
from tqdm import tqdm
import sys
import warnings
import torch
import torch.nn as nn
import torch.nn.modules.con... | en | 0.308986 | # sample execution (requires torchvision)0 #나스닥 #코스닥 #달러/원 #코스피50 #코스피100 #코스피200 #천연가스 선물 #금 선물 #베트남무역은행 #9 : fdr.DataReader('KR1YT=RR', start_date, end_date),#한국채권1년수익률 #미국채권1개월수익률 df_dict = { 0 : fdr.DataReader('IXIC', start_date, end_date),#나스닥 1 : fdr.DataReader('USD/EUR', start_date, end_date),#달러/유로 ... | 2.455578 | 2 |
test/test_seq_tools.py | wckdouglas/tgirt_seq_tools | 7 | 6622763 | <gh_stars>1-10
#!/usr/bin/env python
import filecmp
import logging
import os
from collections import defaultdict
from sequencing_tools.fastq_tools import readfq
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(os.path.basename(__file__))
PROG_PREFIX = ""
if os.environ["_"].endswith("poetry"):
... | #!/usr/bin/env python
import filecmp
import logging
import os
from collections import defaultdict
from sequencing_tools.fastq_tools import readfq
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(os.path.basename(__file__))
PROG_PREFIX = ""
if os.environ["_"].endswith("poetry"):
PROG_PREFIX = "... | ru | 0.26433 | #!/usr/bin/env python | 2.267389 | 2 |
project/migrations/0005_summary_datecompleted.py | mahdiieh/kholasesaz | 0 | 6622764 | <filename>project/migrations/0005_summary_datecompleted.py
# Generated by Django 2.2.20 on 2022-02-05 15:57
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('project', '0004_remove_summary_created'),
]
operations = [
migrations.AddField(
... | <filename>project/migrations/0005_summary_datecompleted.py
# Generated by Django 2.2.20 on 2022-02-05 15:57
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('project', '0004_remove_summary_created'),
]
operations = [
migrations.AddField(
... | en | 0.793193 | # Generated by Django 2.2.20 on 2022-02-05 15:57 | 1.318902 | 1 |
ObasiEmmanuel/Phase 1/Python Basic 1/Day 4 task/Question five.py | CodedLadiesInnovateTech/-python-challenge-solutions | 6 | 6622765 | def checker():
number=int(input("Enter number "))
a=[1,5,8,3]
if number in a:
return True
else:
return False
print(checker())
| def checker():
number=int(input("Enter number "))
a=[1,5,8,3]
if number in a:
return True
else:
return False
print(checker())
| none | 1 | 3.726161 | 4 | |
typetest/analyse/mistyped_words_pie_chart.py | MasterMedo/typetest | 15 | 6622766 | <gh_stars>10-100
import pandas as pd
import matplotlib.pyplot as plt
from typetest.utils import (
validate_input_file_path,
damerau_levenshtein_distance,
)
@validate_input_file_path
def plot(input_file, filter_func=lambda c: True):
"""Plots a pie chart representing the shares of numbers of mistakes in
... | import pandas as pd
import matplotlib.pyplot as plt
from typetest.utils import (
validate_input_file_path,
damerau_levenshtein_distance,
)
@validate_input_file_path
def plot(input_file, filter_func=lambda c: True):
"""Plots a pie chart representing the shares of numbers of mistakes in
mistyped words.... | en | 0.813089 | Plots a pie chart representing the shares of numbers of mistakes in mistyped words. # ax = sns.histplot(mistakes, stat="probability") | 3.038887 | 3 |
update_rosters2.py | amoliski/swgoh_vis | 0 | 6622767 | import swgoh
swgoh.update_rosters(True, part=2) | import swgoh
swgoh.update_rosters(True, part=2) | none | 1 | 1.086443 | 1 | |
Models/get_model.py | LinusWu/TENET-Training | 8 | 6622768 | <gh_stars>1-10
import sys
sys.path.append('./Models/')
from resnext import ResneXt as Resnext29
from resnet import ResNet,BasicBlock,Bottleneck
from torchvision_models import load_pretrained, pretrained_settings
import torch
import torch.nn.functional as F
import numpy as np
def Resnext29_init(config):
if config.d... | import sys
sys.path.append('./Models/')
from resnext import ResneXt as Resnext29
from resnet import ResNet,BasicBlock,Bottleneck
from torchvision_models import load_pretrained, pretrained_settings
import torch
import torch.nn.functional as F
import numpy as np
def Resnext29_init(config):
if config.dataset.lower() ... | en | 0.382881 | #resnet = torch.nn.DataParallel(model) #resnet.cuda() #resnet.load_state_dict(torch.load(config.resume_model_path)) # remove `module.` # pylint: disable=g-long-lambda # lr_lambda computes multiplicative factor # lr_scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer, T_max=config.epoch , eta_min=0) Compute... | 2.327253 | 2 |
CODE/Scripts/schools/greatschoolsratings.py | jdills26/cse6242-project-code | 0 | 6622769 | import requests
import pandas as pd
from io import StringIO, BytesIO
from lxml import etree as et
API_KEY = '<GREATSCHOOLS.ORG API KEY GOES HERE>'
def generate_file(name, response):
d = {}
df = pd.DataFrame()
tree = et.fromstring(response.content)
for child in tree:
for children in child:
... | import requests
import pandas as pd
from io import StringIO, BytesIO
from lxml import etree as et
API_KEY = '<GREATSCHOOLS.ORG API KEY GOES HERE>'
def generate_file(name, response):
d = {}
df = pd.DataFrame()
tree = et.fromstring(response.content)
for child in tree:
for children in child:
... | none | 1 | 3.084067 | 3 | |
llorma_p/configs.py | JoonyoungYi/LLORMA-tensorflow | 9 | 6622770 | GPU_MEMORY_FRAC = 0.95
N_SHOT = 0
N_ANCHOR = 50
PRE_RANK = 5
PRE_LEARNING_RATE = 1e-4
PRE_LAMBDA = 10
LOCAL_RANK = 20
LOCAL_LEARNING_RATE = 1e-2
LOCAL_LAMBDA = 1e-3
BATCH_SIZE = 1000
USE_CACHE = True
| GPU_MEMORY_FRAC = 0.95
N_SHOT = 0
N_ANCHOR = 50
PRE_RANK = 5
PRE_LEARNING_RATE = 1e-4
PRE_LAMBDA = 10
LOCAL_RANK = 20
LOCAL_LEARNING_RATE = 1e-2
LOCAL_LAMBDA = 1e-3
BATCH_SIZE = 1000
USE_CACHE = True
| none | 1 | 1.060787 | 1 | |
slide/snippet/map_composition.py | TomohikoK/PyCat | 0 | 6622771 | <reponame>TomohikoK/PyCat<gh_stars>0
def double(arg: int) -> int:
return arg * 2
x: List[str] = ['a', 'bb']
x1 = list(map(double @ length_of_str, x))
x2 = list(map(double, list(map(length_of_str, x))))
assert x1 == x2 # どちらの値も[2, 4]
| def double(arg: int) -> int:
return arg * 2
x: List[str] = ['a', 'bb']
x1 = list(map(double @ length_of_str, x))
x2 = list(map(double, list(map(length_of_str, x))))
assert x1 == x2 # どちらの値も[2, 4] | ja | 0.407428 | # どちらの値も[2, 4] | 3.571981 | 4 |
ifttt/views.py | wikimedia/ifttt | 33 | 6622772 | # -*- coding: utf-8 -*-
"""
Wikipedia channel for IFTTT
~~~~~~~~~~~~~~~~~~~~~~~~~~~
Copyright 2015 <NAME> <<EMAIL>>
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.apa... | # -*- coding: utf-8 -*-
"""
Wikipedia channel for IFTTT
~~~~~~~~~~~~~~~~~~~~~~~~~~~
Copyright 2015 <NAME> <<EMAIL>>
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.apa... | en | 0.832032 | # -*- coding: utf-8 -*- Wikipedia channel for IFTTT ~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copyright 2015 <NAME> <<EMAIL>> 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.or... | 2.406612 | 2 |
weather_api/weather_app/api_config/bar_chart.py | brian-duffy/yoyo-test | 0 | 6622773 | <reponame>brian-duffy/yoyo-test<filename>weather_api/weather_app/api_config/bar_chart.py
# -*- coding: utf-8 -*-
from graphos.sources.simple import SimpleDataSource
from graphos.renderers.gchart import LineChart, BarChart
def get_chart(data=None, chart='barchart'):
"""
Function to return a chart object for re... | # -*- coding: utf-8 -*-
from graphos.sources.simple import SimpleDataSource
from graphos.renderers.gchart import LineChart, BarChart
def get_chart(data=None, chart='barchart'):
"""
Function to return a chart object for rendering in a view
:param data:
:return:
"""
all_temps = [x['main']['temp'... | en | 0.62018 | # -*- coding: utf-8 -*- Function to return a chart object for rendering in a view :param data: :return: # DataSource object # Chart object | 3.188679 | 3 |
richkit/test/retrieve/test_whois.py | kidmose/richkit | 12 | 6622774 | import unittest
from datetime import datetime
from richkit.retrieve import whois
class WhoisTestCase(unittest.TestCase):
# .dk domains give unknownTld exception !
def test_get_whois_info(self):
# last updated field skipped since it could be None
d = "www.google.com"
w = whois.get_who... | import unittest
from datetime import datetime
from richkit.retrieve import whois
class WhoisTestCase(unittest.TestCase):
# .dk domains give unknownTld exception !
def test_get_whois_info(self):
# last updated field skipped since it could be None
d = "www.google.com"
w = whois.get_who... | en | 0.87655 | # .dk domains give unknownTld exception ! # last updated field skipped since it could be None # .com uses "thin" WHOIS, so we get expiry from both registry # and registrar; # .com uses "thin" WHOIS, so we get expiry from both registry # and registrar, but they are equal here, so only one is returned; | 2.718499 | 3 |
src/upy_platform.py | abraha2d/pb4-firmware | 0 | 6622775 | <gh_stars>0
from os import uname
# noinspection PyUnresolvedReferences
from esp32 import NVS
# noinspection PyUnresolvedReferences
from machine import I2C, Pin, PWM, Signal, TouchPad
# noinspection PyUnresolvedReferences
from network import AP_IF, STA_IF, WLAN
from uasyncio import sleep_ms
class FakeSignal:
pas... | from os import uname
# noinspection PyUnresolvedReferences
from esp32 import NVS
# noinspection PyUnresolvedReferences
from machine import I2C, Pin, PWM, Signal, TouchPad
# noinspection PyUnresolvedReferences
from network import AP_IF, STA_IF, WLAN
from uasyncio import sleep_ms
class FakeSignal:
pass
version ... | en | 0.462762 | # noinspection PyUnresolvedReferences # noinspection PyUnresolvedReferences # noinspection PyUnresolvedReferences | 2.108531 | 2 |
tests/rules/test_category_coverage.py | gitter-badger/arche | 0 | 6622776 | from arche.rules.category_coverage import get_coverage_per_category
from arche.rules.result import Level
from conftest import create_result
import pandas as pd
import pytest
@pytest.mark.parametrize(
"data, tags, expected_messages",
[
(
{"sex": ["male", "female", "male"], "country": ["uk",... | from arche.rules.category_coverage import get_coverage_per_category
from arche.rules.result import Level
from conftest import create_result
import pandas as pd
import pytest
@pytest.mark.parametrize(
"data, tags, expected_messages",
[
(
{"sex": ["male", "female", "male"], "country": ["uk",... | none | 1 | 2.706221 | 3 | |
primary/amber/log.py | KarlTDebiec/MDclt | 0 | 6622777 | # -*- coding: utf-8 -*-
# MDclt.primary.amber.log.py
#
# Copyright (C) 2012-2015 <NAME>
# All rights reserved.
#
# This software may be modified and distributed under the terms of the
# BSD license. See the LICENSE file for details.
"""
Classes for transfer of AMBER simulation logs to h5
"""
#################... | # -*- coding: utf-8 -*-
# MDclt.primary.amber.log.py
#
# Copyright (C) 2012-2015 <NAME>
# All rights reserved.
#
# This software may be modified and distributed under the terms of the
# BSD license. See the LICENSE file for details.
"""
Classes for transfer of AMBER simulation logs to h5
"""
#################... | en | 0.568547 | # -*- coding: utf-8 -*- # MDclt.primary.amber.log.py # # Copyright (C) 2012-2015 <NAME> # All rights reserved. # # This software may be modified and distributed under the terms of the # BSD license. See the LICENSE file for details. Classes for transfer of AMBER simulation logs to h5 #########################... | 2.219608 | 2 |
FutureScope/stylize_image.py | andrewstito/Image-Style-Transfer | 0 | 6622778 | <reponame>andrewstito/Image-Style-Transfer
#imports
import os
import numpy as np
from os.path import exists
from sys import stdout
import utils
from argparse import ArgumentParser
import tensorflow as tf
import transform
NETWORK_PATH='networks'
def build_parser():
parser = ArgumentParser()
parser.add_argument... | #imports
import os
import numpy as np
from os.path import exists
from sys import stdout
import utils
from argparse import ArgumentParser
import tensorflow as tf
import transform
NETWORK_PATH='networks'
def build_parser():
parser = ArgumentParser()
parser.add_argument('--content', type=str,
... | en | 0.86752 | #imports # content and trained network path check #main # Checking if image size is div by 4. This is a pre-consdition in the model implemented | 2.680131 | 3 |
mentors/mentors/models.py | mattfreire/mentors | 1 | 6622779 | import uuid
from django.contrib.auth import get_user_model
from django.db import models
from django.db.models import Sum
User = get_user_model()
class Mentor(models.Model):
user = models.OneToOneField(User, on_delete=models.CASCADE)
is_active = models.BooleanField(default=False)
rate = models.IntegerFie... | import uuid
from django.contrib.auth import get_user_model
from django.db import models
from django.db.models import Sum
User = get_user_model()
class Mentor(models.Model):
user = models.OneToOneField(User, on_delete=models.CASCADE)
is_active = models.BooleanField(default=False)
rate = models.IntegerFie... | en | 0.653055 | # cents # seconds # seconds | 2.228348 | 2 |
main.py | junaidrahim/kiitwifi-speedtest | 3 | 6622780 | <reponame>junaidrahim/kiitwifi-speedtest
#!/usr/bin/python3
# this is the main script to run the speedtest every 5 minutes
import subprocess
from datetime import datetime
import time
while True:
timestamp = datetime.now()
f = open("/home/junaid/code/other/kiitspeedtest/data.txt", "a")
result = subpr... | #!/usr/bin/python3
# this is the main script to run the speedtest every 5 minutes
import subprocess
from datetime import datetime
import time
while True:
timestamp = datetime.now()
f = open("/home/junaid/code/other/kiitspeedtest/data.txt", "a")
result = subprocess.run(['speedtest-cli'], stdout=subpr... | en | 0.70281 | #!/usr/bin/python3 # this is the main script to run the speedtest every 5 minutes | 2.689626 | 3 |
common_configs/apps/imagekit.py | nigma/django-common-configs | 5 | 6622781 | #-*- coding: utf-8 -*-
"""
Settings for django-imagekit_ - automated image processing for Django
.. _django-imagekit: https://github.com/matthewwithanm/django-imagekit
"""
from __future__ import absolute_import, division, print_function, unicode_literals
from configurations import values
from ..utils import merge_... | #-*- coding: utf-8 -*-
"""
Settings for django-imagekit_ - automated image processing for Django
.. _django-imagekit: https://github.com/matthewwithanm/django-imagekit
"""
from __future__ import absolute_import, division, print_function, unicode_literals
from configurations import values
from ..utils import merge_... | en | 0.439663 | #-*- coding: utf-8 -*- Settings for django-imagekit_ - automated image processing for Django .. _django-imagekit: https://github.com/matthewwithanm/django-imagekit #: Use optimistic strategy #: #: http://django-imagekit.rtfd.org/latest/configuration.html#django.conf.settings.IMAGEKIT_DEFAULT_CACHEFILE_STRATEGY #: Defi... | 1.773731 | 2 |
tests/test_03_id_token.py | IdentityPython/oicsrv | 6 | 6622782 | <reponame>IdentityPython/oicsrv
import json
import os
from cryptojwt.jws import jws
from cryptojwt.jwt import JWT
from cryptojwt.key_jar import KeyJar
from oidcmsg.oidc import AuthorizationRequest
from oidcmsg.oidc import RegistrationResponse
from oidcmsg.time_util import time_sans_frac
import pytest
from oidcendpoin... | import json
import os
from cryptojwt.jws import jws
from cryptojwt.jwt import JWT
from cryptojwt.key_jar import KeyJar
from oidcmsg.oidc import AuthorizationRequest
from oidcmsg.oidc import RegistrationResponse
from oidcmsg.time_util import time_sans_frac
import pytest
from oidcendpoint.authn_event import create_auth... | en | 0.661348 | # Constructing an authorization code is now done # 5 minutes from now # 15 minutes from now # Means the token (tok) was used to mint this token # default signing alg # default signing alg # default signing alg # default signing alg # self.endpoint_context.cdb["client_1"]["id_token_claims"] = {"address": None} # self.en... | 2.060839 | 2 |
abc229/abc229_a.py | Vermee81/practice-coding-contests | 0 | 6622783 | <gh_stars>0
# https://atcoder.jp/contests/abc229/tasks/abc229_a
S, T, X = map(int, input().split())
if S == T:
print("No")
exit()
if S > T:
ans = "Yes" if X >= S or X < T else "No"
print(ans)
exit()
ans = "Yes" if S <= X < T else "No"
print(ans)
| # https://atcoder.jp/contests/abc229/tasks/abc229_a
S, T, X = map(int, input().split())
if S == T:
print("No")
exit()
if S > T:
ans = "Yes" if X >= S or X < T else "No"
print(ans)
exit()
ans = "Yes" if S <= X < T else "No"
print(ans) | en | 0.425791 | # https://atcoder.jp/contests/abc229/tasks/abc229_a | 3.359666 | 3 |
vcfModifier/vcfIntersector.py | ccgenomics/somaticseq | 2 | 6622784 | #!/usr/bin/env python3
import sys, os, argparse, gzip, re, subprocess, uuid
MY_DIR = os.path.dirname(os.path.realpath(__file__))
PRE_DIR = os.path.join(MY_DIR, os.pardir)
sys.path.append( PRE_DIR )
import genomicFileHandler.genomic_file_handlers as genome
def bed_include(infile, inclusion_region, outfile):
... | #!/usr/bin/env python3
import sys, os, argparse, gzip, re, subprocess, uuid
MY_DIR = os.path.dirname(os.path.realpath(__file__))
PRE_DIR = os.path.join(MY_DIR, os.pardir)
sys.path.append( PRE_DIR )
import genomicFileHandler.genomic_file_handlers as genome
def bed_include(infile, inclusion_region, outfile):
... | en | 0.446376 | #!/usr/bin/env python3 # Get the input file name minus the extention, and also get the extension # Use utilities/vcfsorter.pl fa.dict unsorted.vcf > sorted.vcf #vcfsort = '{}/utilities/vcfsorter.pl'.format(PRE_DIR) #os.system( '{} {} {} > {}'.format(vcfsort, hg_dict, vcfin, vcfout ) ) | 2.279131 | 2 |
Test/LambOseenTest.py | gforsyth/pyfmm | 11 | 6622785 | <reponame>gforsyth/pyfmm<gh_stars>10-100
"""
Fast Multipole Method test.
Solving Vortex Blob Method for Lamb Oseen test case.
The number of particles of the problem depends on the
size of the computational domain
Usage:
-l <number> Number of levels for the FMM
-p <number> Truncation Number for the ... | """
Fast Multipole Method test.
Solving Vortex Blob Method for Lamb Oseen test case.
The number of particles of the problem depends on the
size of the computational domain
Usage:
-l <number> Number of levels for the FMM
-p <number> Truncation Number for the FMM
-n <number> Size of the comput... | en | 0.448846 | Fast Multipole Method test.
Solving Vortex Blob Method for Lamb Oseen test case.
The number of particles of the problem depends on the
size of the computational domain
Usage:
-l <number> Number of levels for the FMM
-p <number> Truncation Number for the FMM
-n <number> Size of the computation... | 2.675387 | 3 |
problem0385.py | kmarcini/Project-Euler-Python | 0 | 6622786 | <filename>problem0385.py
###########################
#
# #385 Ellipses inside triangles - Project Euler
# https://projecteuler.net/problem=385
#
# Code by <NAME>
#
###########################
| <filename>problem0385.py
###########################
#
# #385 Ellipses inside triangles - Project Euler
# https://projecteuler.net/problem=385
#
# Code by <NAME>
#
###########################
| de | 0.34224 | ########################### # # #385 Ellipses inside triangles - Project Euler # https://projecteuler.net/problem=385 # # Code by <NAME> # ########################### | 1.996838 | 2 |
gpio.py | Heych88/Intel_edision_rotor_control | 0 | 6622787 | <reponame>Heych88/Intel_edision_rotor_control
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
# LIABLE ... | # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
# LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHET... | en | 0.431682 | # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, # EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF # MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND # NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE # LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHET... | 2.945903 | 3 |
plotting.py | harryturr/analysis | 0 | 6622788 | #!/usr/bin/env python2
# <NAME> 2019
# @harryturr
import numpy as np
import os
from scipy.optimize import curve_fit
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
file_number = np.array([%s]) % #number of ifle
label_list = np.array([%s]) % #label
filename_prefix = 'prefix'
filename_suff... | #!/usr/bin/env python2
# <NAME> 2019
# @harryturr
import numpy as np
import os
from scipy.optimize import curve_fit
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
file_number = np.array([%s]) % #number of ifle
label_list = np.array([%s]) % #label
filename_prefix = 'prefix'
filename_suff... | en | 0.7306 | #!/usr/bin/env python2 # <NAME> 2019 # @harryturr #number of ifle #label # moving average box by convolution # extracting data # scaling to Hz (50 hz/V) # determining where to split the data # splitting freq shift # calculating difference # splitting dissipation # define figure environment # plotting dissipation vs fre... | 2.474503 | 2 |
pYadivForm.py | alanphys/pYadiv | 1 | 6622789 | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'pYadivForm.ui',
# licensing of 'pYadivForm.ui' applies.
#
# Created: Mon Jul 15 11:15:34 2019
# by: pyside2-uic running on PySide2 5.12.1
#
# WARNING! All changes made in this file will be lost!
from PySide2 import QtCore, QtGui, QtWi... | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'pYadivForm.ui',
# licensing of 'pYadivForm.ui' applies.
#
# Created: Mon Jul 15 11:15:34 2019
# by: pyside2-uic running on PySide2 5.12.1
#
# WARNING! All changes made in this file will be lost!
from PySide2 import QtCore, QtGui, QtWi... | en | 0.782074 | # -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'pYadivForm.ui', # licensing of 'pYadivForm.ui' applies. # # Created: Mon Jul 15 11:15:34 2019 # by: pyside2-uic running on PySide2 5.12.1 # # WARNING! All changes made in this file will be lost! | 1.422722 | 1 |
topfarm/tests/test_files/xy3tb.py | DTUWindEnergy/TopFarm2 | 4 | 6622790 | <filename>topfarm/tests/test_files/xy3tb.py
import numpy as np
from topfarm.cost_models.dummy import DummyCost, DummyCostPlotComp
from topfarm.easy_drivers import EasyScipyOptimizeDriver
from topfarm._topfarm import TopFarmProblem
from topfarm.plotting import NoPlot
from topfarm.constraint_components.spacing import Sp... | <filename>topfarm/tests/test_files/xy3tb.py
import numpy as np
from topfarm.cost_models.dummy import DummyCost, DummyCostPlotComp
from topfarm.easy_drivers import EasyScipyOptimizeDriver
from topfarm._topfarm import TopFarmProblem
from topfarm.plotting import NoPlot
from topfarm.constraint_components.spacing import Sp... | en | 0.601439 | # initial turbine layouts # optimal turbine layouts # turbine boundaries # desired turbine layouts | 2.114615 | 2 |
tests/storage/cases/test_KT1TguwcxJYaEYSMhXJFjHzXmro8cP37K13N.py | juztin/pytezos-1 | 1 | 6622791 | from unittest import TestCase
from tests import get_data
from pytezos.michelson.converter import build_schema, decode_micheline, encode_micheline, micheline_to_michelson
class StorageTestKT1TguwcxJYaEYSMhXJFjHzXmro8cP37K13N(TestCase):
@classmethod
def setUpClass(cls):
cls.maxDiff = None
cls.... | from unittest import TestCase
from tests import get_data
from pytezos.michelson.converter import build_schema, decode_micheline, encode_micheline, micheline_to_michelson
class StorageTestKT1TguwcxJYaEYSMhXJFjHzXmro8cP37K13N(TestCase):
@classmethod
def setUpClass(cls):
cls.maxDiff = None
cls.... | none | 1 | 2.483882 | 2 | |
properties/p.py | anandjoshi91/pythonpropertyfileloader | 3 | 6622792 | <gh_stars>1-10
import re
from collections import OrderedDict
class Property:
""" A class similar to Properties class in Java
Reads variables/properties defined in a file
Allows cross referencing of variables
"""
def __init__(self, assign_token: str = '=', comment_token: str = '#... | import re
from collections import OrderedDict
class Property:
""" A class similar to Properties class in Java
Reads variables/properties defined in a file
Allows cross referencing of variables
"""
def __init__(self, assign_token: str = '=', comment_token: str = '#', line_append_... | en | 0.809609 | A class similar to Properties class in Java
Reads variables/properties defined in a file
Allows cross referencing of variables optional parameters
A standard property file follows the convention
= is used to assign a variable or property
# for comments in the pr... | 3.939425 | 4 |
python/PyPedals.py | enok82/VLCPedals | 0 | 6622793 | '''
Created on 11 apr. 2017
@author: stefan
'''
from telnetlib import Telnet
from serial import Serial
from time import sleep
class VlcControl:
def __init__(self):
self.telnetConnection = Telnet("localhost", 4212)
telnetBuffer = ""
while not telnetBuffer.endswith("Password: "):
... | '''
Created on 11 apr. 2017
@author: stefan
'''
from telnetlib import Telnet
from serial import Serial
from time import sleep
class VlcControl:
def __init__(self):
self.telnetConnection = Telnet("localhost", 4212)
telnetBuffer = ""
while not telnetBuffer.endswith("Password: "):
... | en | 0.442336 | Created on 11 apr. 2017 @author: stefan | 2.580562 | 3 |
Code/src/models/networks/AE_ResNet18_dual.py | antoine-spahr/X-ray-Anomaly-Detection | 2 | 6622794 | import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision.models.utils
from src.models.networks.ResNetBlocks import DownResBlock, UpResBlock
class ResNet18_Encoder(nn.Module):
"""
Combine multiple Residual block to form a ResNet18 up to the Average poolong
layer. The size of th... | import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision.models.utils
from src.models.networks.ResNetBlocks import DownResBlock, UpResBlock
class ResNet18_Encoder(nn.Module):
"""
Combine multiple Residual block to form a ResNet18 up to the Average poolong
layer. The size of th... | en | 0.798081 | Combine multiple Residual block to form a ResNet18 up to the Average poolong layer. The size of the embeding dimension can be different than the one from ResNet18. The ResNet18 part can be initialized with pretrained weights on ImageNet. Build the Encoder from the layer's specification. The encoder is composed ... | 3.067917 | 3 |
core/tests/test_models.py | Pmtague/recipe-app-api | 0 | 6622795 | from django.test import TestCase
from django.contrib.auth import get_user_model
class ModelTests(TestCase):
# Test method names must all start with test_
def test_create_user_with_email_successful(self):
"""Test creating a new user with an email is successful"""
# Test user info
email... | from django.test import TestCase
from django.contrib.auth import get_user_model
class ModelTests(TestCase):
# Test method names must all start with test_
def test_create_user_with_email_successful(self):
"""Test creating a new user with an email is successful"""
# Test user info
email... | en | 0.911789 | # Test method names must all start with test_ Test creating a new user with an email is successful # Test user info # Create test user # Assert that email and password created match those above Test the email for a new user is normalized # Test user info # Create test user # Assert that the email address is stored in a... | 3.034855 | 3 |
sigopt-beats-vegas/predictor/features.py | meghanaravikumar/sigopt-examples | 213 | 6622796 | <filename>sigopt-beats-vegas/predictor/features.py
from collections import namedtuple
FeatureSet = namedtuple(
"FeatureSet",
[
"PTSpm", # Points per minute
"OREBpm", # Offensive rebounds per minute
"DREBpm", # Defensive rebounds per minute
"STLpm", # Steals per minute
"BLKpm", # B... | <filename>sigopt-beats-vegas/predictor/features.py
from collections import namedtuple
FeatureSet = namedtuple(
"FeatureSet",
[
"PTSpm", # Points per minute
"OREBpm", # Offensive rebounds per minute
"DREBpm", # Defensive rebounds per minute
"STLpm", # Steals per minute
"BLKpm", # B... | en | 0.726981 | # Points per minute # Offensive rebounds per minute # Defensive rebounds per minute # Steals per minute # Blocks per minute # Assists per minute # Points in paint per minute # Second chance points per minute # Fast break points per minute # Lead changes per minute # Times tied per minute # Largest lead per game # Point... | 2.551422 | 3 |
lldb/test/API/functionalities/dyld-exec-linux/TestDyldExecLinux.py | ornata/llvm-project | 0 | 6622797 | """
Test that LLDB can launch a linux executable and then execs into the dynamic
loader into this program again.
"""
import lldb
import os
from lldbsuite.test.decorators import *
from lldbsuite.test.lldbtest import *
from lldbsuite.test import lldbutil
class TestLinux64ExecViaDynamicLoader(TestBase):
mydir = Tes... | """
Test that LLDB can launch a linux executable and then execs into the dynamic
loader into this program again.
"""
import lldb
import os
from lldbsuite.test.decorators import *
from lldbsuite.test.lldbtest import *
from lldbsuite.test import lldbutil
class TestLinux64ExecViaDynamicLoader(TestBase):
mydir = Tes... | en | 0.874424 | Test that LLDB can launch a linux executable and then execs into the dynamic loader into this program again. # Extracts path of the interpreter. # Set a breakpoint in the main function that will get hit after the # program exec's via the dynamic loader. The breakpoint will only get # hit if we can successfully read the... | 2.082911 | 2 |
learning/process/distributed/job.py | seasonfif/python | 0 | 6622798 | #!/usr/bin/env python
# coding=utf-8
class Job:
def __init__(self, job_id):
self.job_id = job_id
| #!/usr/bin/env python
# coding=utf-8
class Job:
def __init__(self, job_id):
self.job_id = job_id
| en | 0.244401 | #!/usr/bin/env python # coding=utf-8 | 2.410032 | 2 |
setup.py | kokokuo/pydomain | 1 | 6622799 | from setuptools import setup, find_packages
setup(
name='pydomain',
version='0.1',
author="kokokuo",
author_email="<EMAIL>",
description="This is a domain-driven design tatical building blocks package for python.",
packages=find_packages(exclude=["docs", "tests*"]),
install_requires=[
... | from setuptools import setup, find_packages
setup(
name='pydomain',
version='0.1',
author="kokokuo",
author_email="<EMAIL>",
description="This is a domain-driven design tatical building blocks package for python.",
packages=find_packages(exclude=["docs", "tests*"]),
install_requires=[
... | none | 1 | 1.290903 | 1 | |
pycrypto_tid_demo.py | nwinds/demoServer | 0 | 6622800 | from Crypto.Hash import SHA256
from Crypto.Hash import HMAC
from binascii import b2a_hex
from binascii import a2b_hex
import base64
def hmac(key, data):
if len(key) > 32:
print("Warning")
return HMAC.new(key, data, digestmod=SHA256).digest()
cid = 'ClientId00000001'
nonce = a2b_hex('0101010101010101')... | from Crypto.Hash import SHA256
from Crypto.Hash import HMAC
from binascii import b2a_hex
from binascii import a2b_hex
import base64
def hmac(key, data):
if len(key) > 32:
print("Warning")
return HMAC.new(key, data, digestmod=SHA256).digest()
cid = 'ClientId00000001'
nonce = a2b_hex('0101010101010101')... | none | 1 | 2.982124 | 3 | |
rasa_core/version.py | htonthat/rasa_core | 1 | 6622801 |
__version__ = '0.13.0a5'
|
__version__ = '0.13.0a5'
| none | 1 | 1.056348 | 1 | |
src/wp_cli/db_check.py | wpsmith/wp-cli-python | 0 | 6622802 | from wp.command import WPCommand
class DBCheck(WPCommand):
command = ['db', 'check']
# Extra arguments to pass to mysqldump. Refer to mysqldump docs.
fields = []
# Loads the environment’s MySQL option files.
# Default behavior is to skip loading them to avoid failures due to misconfiguration.
... | from wp.command import WPCommand
class DBCheck(WPCommand):
command = ['db', 'check']
# Extra arguments to pass to mysqldump. Refer to mysqldump docs.
fields = []
# Loads the environment’s MySQL option files.
# Default behavior is to skip loading them to avoid failures due to misconfiguration.
... | en | 0.754352 | # Extra arguments to pass to mysqldump. Refer to mysqldump docs. # Loads the environment’s MySQL option files. # Default behavior is to skip loading them to avoid failures due to misconfiguration. | 2.280333 | 2 |
models.py | JJendryka/Chores | 0 | 6622803 | <reponame>JJendryka/Chores<filename>models.py
from flask_sqlalchemy import SQLAlchemy
from authlib.integrations.sqla_oauth2 import OAuth2ClientMixin, OAuth2TokenMixin, OAuth2AuthorizationCodeMixin
from flask_bcrypt import generate_password_hash, check_password_hash
db = SQLAlchemy()
def init_app(app):
db.init_app... | from flask_sqlalchemy import SQLAlchemy
from authlib.integrations.sqla_oauth2 import OAuth2ClientMixin, OAuth2TokenMixin, OAuth2AuthorizationCodeMixin
from flask_bcrypt import generate_password_hash, check_password_hash
db = SQLAlchemy()
def init_app(app):
db.init_app(app)
class User(db.Model):
id = db.Colum... | none | 1 | 2.606292 | 3 | |
Lesson16_Classes/1-Types.py | StyvenSoft/degree-python | 0 | 6622804 | <filename>Lesson16_Classes/1-Types.py
a_string = "<NAME>"
an_int = 12
print(type(a_string))
# prints "<class 'str'>"
print(type(an_int))
# prints "<class 'int'>"
print(type(5))
#<class 'int'>
my_dict = {}
print(type(my_dict))
# <class 'dict'>
my_list = []
print(type(my_list))
# <class 'list'>
| <filename>Lesson16_Classes/1-Types.py
a_string = "<NAME>"
an_int = 12
print(type(a_string))
# prints "<class 'str'>"
print(type(an_int))
# prints "<class 'int'>"
print(type(5))
#<class 'int'>
my_dict = {}
print(type(my_dict))
# <class 'dict'>
my_list = []
print(type(my_list))
# <class 'list'>
| en | 0.148824 | # prints "<class 'str'>" # prints "<class 'int'>" #<class 'int'> # <class 'dict'> # <class 'list'> | 3.475384 | 3 |
scripts/examples/ESTELA/ESTELA_PCA.py | teslakit/teslak | 12 | 6622805 | <reponame>teslakit/teslak<filename>scripts/examples/ESTELA/ESTELA_PCA.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# common
import os
import os.path as op
# pip
import numpy as np
import matplotlib.pyplot as plt
import xarray as xr
# DEV: override installed teslakit
import sys
sys.path.insert(0,'../../../')
# ... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# common
import os
import os.path as op
# pip
import numpy as np
import matplotlib.pyplot as plt
import xarray as xr
# DEV: override installed teslakit
import sys
sys.path.insert(0,'../../../')
# teslakit
from teslakit.project_site import PathControl
from teslakit.io.m... | en | 0.301738 | #!/usr/bin/env python # -*- coding: utf-8 -*- # common # pip # DEV: override installed teslakit # teslakit # -------------------------------------- # Test data storage # -------------------------------------- # use teslakit test data # Calculate PCA # Plot EOFs | 2.290646 | 2 |
Python/Introduction/1HelloWorld.py | phillipemoreira/HackerRank | 0 | 6622806 | <reponame>phillipemoreira/HackerRank
#Problem link: https://www.hackerrank.com/challenges/py-hello-world
# Write your code on the next line.
print("Hello, World!") | #Problem link: https://www.hackerrank.com/challenges/py-hello-world
# Write your code on the next line.
print("Hello, World!") | en | 0.847457 | #Problem link: https://www.hackerrank.com/challenges/py-hello-world # Write your code on the next line. | 2.921839 | 3 |
cotk/_utils/unordered_hash.py | ishine/cotk | 117 | 6622807 | '''
A module for hash unordered elements
'''
from typing import Union
from collections import OrderedDict
import hashlib
import json
import warnings
class UnorderedSha256:
'''
Using SHA256 on unordered elements
'''
def __init__(self):
self.result = [0] * 32
def update_data(self, data: Union[bytes, bytearra... | '''
A module for hash unordered elements
'''
from typing import Union
from collections import OrderedDict
import hashlib
import json
import warnings
class UnorderedSha256:
'''
Using SHA256 on unordered elements
'''
def __init__(self):
self.result = [0] * 32
def update_data(self, data: Union[bytes, bytearra... | en | 0.641927 | A module for hash unordered elements Using SHA256 on unordered elements update digest by data. type(data)=bytes update digest by hash. type(hashvalue)=bytes return unordered hashvalue return unordered hashvalue Generate bytes to identify the object by json serialization Generate bytes to identify the object by repr # E... | 3.403936 | 3 |
tests/test_pull.py | cincanproject/cincan-command | 1 | 6622808 | <filename>tests/test_pull.py
import logging
import pytest
from unittest import mock
from cincan.frontend import ToolImage
from cincan.configuration import Configuration
DEFAULT_IMAGE = "quay.io/cincan/test"
DEFAULT_STABLE_TAG = Configuration().default_stable_tag
DEFAULT_DEV_TAG = Configuration().default_dev_tag
def ... | <filename>tests/test_pull.py
import logging
import pytest
from unittest import mock
from cincan.frontend import ToolImage
from cincan.configuration import Configuration
DEFAULT_IMAGE = "quay.io/cincan/test"
DEFAULT_STABLE_TAG = Configuration().default_stable_tag
DEFAULT_DEV_TAG = Configuration().default_dev_tag
def ... | en | 0.777016 | # cincan/test image has only 'dev' tag # Ignore version check messages, get two first # Busybox is not 'cincan' image, pulling normally # Busybox is not 'cincan' image, pulling non existing tag # Pulling non-existing tag from cincan tool # Pulling from non-existing repository 'cincann' Test for pulling non-existing 'ci... | 2.248144 | 2 |
records/test_talks.py | gridpp/dissem-toolkit | 1 | 6622809 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#...the usual suspects.
import os, inspect
#...for the unit testing.
import unittest
#...for the logging.
import logging as lg
#...for the Pixelman dataset wrapper.
from talks import Talk
class TalkTest(unittest.TestCase):
def setUp(self):
pass
def te... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#...the usual suspects.
import os, inspect
#...for the unit testing.
import unittest
#...for the logging.
import logging as lg
#...for the Pixelman dataset wrapper.
from talks import Talk
class TalkTest(unittest.TestCase):
def setUp(self):
pass
def te... | en | 0.672527 | #!/usr/bin/env python # -*- coding: utf-8 -*- #...the usual suspects. #...for the unit testing. #...for the logging. #...for the Pixelman dataset wrapper. ## The test talk. # The talk title. # The talk date string. # The talk URL. # The authors. # The event URL. # The web entry. <li> <a href="https://indico.cern.ch/eve... | 2.338108 | 2 |
credentials_replacer/replacer.py | singleton11/aws-credential-replacer | 10 | 6622810 | #!/usr/bin/env python
import os
import sys
import click
from credstash import getSecret, listSecrets
from jinja2 import Environment, FileSystemLoader
def render_with_credentials(file):
"""Render file argument with credstash credentials
Load file as jinja2 template and render it with context where keys are
... | #!/usr/bin/env python
import os
import sys
import click
from credstash import getSecret, listSecrets
from jinja2 import Environment, FileSystemLoader
def render_with_credentials(file):
"""Render file argument with credstash credentials
Load file as jinja2 template and render it with context where keys are
... | en | 0.51294 | #!/usr/bin/env python Render file argument with credstash credentials Load file as jinja2 template and render it with context where keys are credstash keys and values are credstash values Args: file (str): jinja2 template file path Returns: str: Rendered string Output rendered templa... | 3.010739 | 3 |
main/Customer/views.py | VikasSherawat/OrderFood | 0 | 6622811 | from django.shortcuts import render
from django.contrib import messages
# Create your views here.
from django.shortcuts import render, get_object_or_404, redirect
from django.http import HttpResponseRedirect
from ..models import Shop, User, Customer, FoodItem,Order
def fooditems(request, shop_id):
shops = Shop.... | from django.shortcuts import render
from django.contrib import messages
# Create your views here.
from django.shortcuts import render, get_object_or_404, redirect
from django.http import HttpResponseRedirect
from ..models import Shop, User, Customer, FoodItem,Order
def fooditems(request, shop_id):
shops = Shop.... | en | 0.968116 | # Create your views here. | 2.415996 | 2 |
flaxOptimizersBenchmark/mnist.py | nestordemeure/flaxOptimizersBenchmark | 2 | 6622812 | import tensorflow_datasets as tfds
from .architectures import SimpleCNN
from .training_loop import cross_entropy, accuracy, training_loop, make_training_loop_description, make_problem_description, Experiment
# defines the model
model=SimpleCNN(num_classes=10)
model_name="SimpleCNN"
# defines the training parameters
b... | import tensorflow_datasets as tfds
from .architectures import SimpleCNN
from .training_loop import cross_entropy, accuracy, training_loop, make_training_loop_description, make_problem_description, Experiment
# defines the model
model=SimpleCNN(num_classes=10)
model_name="SimpleCNN"
# defines the training parameters
b... | en | 0.813575 | # defines the model # defines the training parameters gets the dataset from the given path this function works ONLY if the dataset has been previously downloaded # this download by default, see https://www.tensorflow.org/datasets/api_docs/python/tfds/load #nb_classes = info.features['label'].num_classes # converts ... | 3.358751 | 3 |
{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/problem/__init__.py | Aiwizo/pytorch-lantern-template | 1 | 6622813 | <reponame>Aiwizo/pytorch-lantern-template
from {{cookiecutter.package_name}}.problem.example import Example
from {{cookiecutter.package_name}}.problem.datasets import datasets
| from {{cookiecutter.package_name}}.problem.example import Example
from {{cookiecutter.package_name}}.problem.datasets import datasets | none | 1 | 1.09958 | 1 | |
visualizer/test/generate-memory-overview.py | asavonic/memprof | 0 | 6622814 | #!/usr/bin/env python
# The MIT License (MIT)
#
# Copyright (c) 2016 <NAME>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# t... | #!/usr/bin/env python
# The MIT License (MIT)
#
# Copyright (c) 2016 <NAME>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# t... | en | 0.756309 | #!/usr/bin/env python # The MIT License (MIT) # # Copyright (c) 2016 <NAME> # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to... | 2.414246 | 2 |
app/core/tests/test_admin.py | FaridQattali/recipe-app-api | 0 | 6622815 | from django.test import TestCase, Client
from django.contrib.auth import get_user_model
from django.urls import reverse
class AdminSiteTests(TestCase):
def setUp(self):
self.client = Client()
self.admin_user = get_user_model().objects.create_superuser(
'<EMAIL>',
'admin123... | from django.test import TestCase, Client
from django.contrib.auth import get_user_model
from django.urls import reverse
class AdminSiteTests(TestCase):
def setUp(self):
self.client = Client()
self.admin_user = get_user_model().objects.create_superuser(
'<EMAIL>',
'admin123... | en | 0.522682 | Test users are listed in django admin Test user edit page renders correctlly Tests if user create page renders correctly | 2.627995 | 3 |
test/fixtures/projects/printenv/project/action_plugins/look_at_environment.py | valbendan/ansible-runner | 658 | 6622816 | from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
from ansible.plugins.action import ActionBase
import os
class ActionModule(ActionBase):
def run(self, tmp=None, task_vars=None):
result = super(ActionModule, self).run(tmp, task_vars)
result['changed'] = res... | from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
from ansible.plugins.action import ActionBase
import os
class ActionModule(ActionBase):
def run(self, tmp=None, task_vars=None):
result = super(ActionModule, self).run(tmp, task_vars)
result['changed'] = res... | none | 1 | 2.166121 | 2 | |
berktempy/core.py | d-chambers/2018_agu_workshop | 0 | 6622817 | """
A library for analogizing Berkley temperature data. Created in the best
practices for open-source software development at AGU-2018.
"""
from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
import requests
def _generate_berkley_earth_location_url(location: str) -> str:
" "
base = 'h... | """
A library for analogizing Berkley temperature data. Created in the best
practices for open-source software development at AGU-2018.
"""
from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
import requests
def _generate_berkley_earth_location_url(location: str) -> str:
" "
base = 'h... | en | 0.823271 | A library for analogizing Berkley temperature data. Created in the best practices for open-source software development at AGU-2018. # Download the content of the URL # Save it to a file # In[79]: # test for loading text # Extract the monthly temperature anomaly and calculate an approximate "decimal year" to use in plot... | 3.503273 | 4 |
tests/example_helpers.py | aenglander/python-cose | 0 | 6622818 | <filename>tests/example_helpers.py
from os import path
EXAMPLE_ROOT = path.join(path.dirname(__file__), "example_data")
| <filename>tests/example_helpers.py
from os import path
EXAMPLE_ROOT = path.join(path.dirname(__file__), "example_data")
| none | 1 | 1.597717 | 2 | |
output.py | yuyobit/decode | 2 | 6622819 | <reponame>yuyobit/decode
import csv
import datetime
import settings
import sqlite3
# CSV output provides a simple dumping of decoded values
# advanced functions like correcting data according to bulletin modifiers will not be done
# as the CSV file is newly created every time
# also station information is not saved in... | import csv
import datetime
import settings
import sqlite3
# CSV output provides a simple dumping of decoded values
# advanced functions like correcting data according to bulletin modifiers will not be done
# as the CSV file is newly created every time
# also station information is not saved in the CSV file
def writeCs... | en | 0.841966 | # CSV output provides a simple dumping of decoded values # advanced functions like correcting data according to bulletin modifiers will not be done # as the CSV file is newly created every time # also station information is not saved in the CSV file # not possible to write more than one precipitation entry to CSV CREAT... | 3.454291 | 3 |
xcube/util/geom.py | tiagoams/xcube | 0 | 6622820 | # The MIT License (MIT)
# Copyright (c) 2019 by the xcube development team and contributors
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in
# the Software without restriction, including without limitation... | # The MIT License (MIT)
# Copyright (c) 2019 by the xcube development team and contributors
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in
# the Software without restriction, including without limitation... | en | 0.775834 | # The MIT License (MIT) # Copyright (c) 2019 by the xcube development team and contributors # # Permission is hereby granted, free of charge, to any person obtaining a copy of # this software and associated documentation files (the "Software"), to deal in # the Software without restriction, including without limitation... | 1.602768 | 2 |
devops/__init__.py | pcah/python-clean-architecture | 278 | 6622821 | <reponame>pcah/python-clean-architecture<gh_stars>100-1000
# flake8: noqa
from . import commands
PROJECT_PACKAGE = None
| # flake8: noqa
from . import commands
PROJECT_PACKAGE = None | it | 0.238973 | # flake8: noqa | 1.00178 | 1 |
youths/admin.py | frwickst/open-city-profile | 0 | 6622822 | <gh_stars>0
from django.contrib import admin
from django.utils.translation import ugettext_lazy as _
from youths.models import YouthProfile
class YouthProfileAdminInline(admin.StackedInline):
model = YouthProfile
fk_name = "profile"
extra = 0
readonly_fields = ("approved_time", "approval_notification... | from django.contrib import admin
from django.utils.translation import ugettext_lazy as _
from youths.models import YouthProfile
class YouthProfileAdminInline(admin.StackedInline):
model = YouthProfile
fk_name = "profile"
extra = 0
readonly_fields = ("approved_time", "approval_notification_timestamp")... | none | 1 | 1.862009 | 2 | |
data_processing/data_creation.py | KartikaySrivadtava/dl-for-har-ea1e9babb2b178cc338dbc72db974325c193c781 | 1 | 6622823 | <filename>data_processing/data_creation.py<gh_stars>1-10
from PyAV.av.io import read
import re
import numpy as np
import pandas as pd
from glob import glob
import os
from io import BytesIO
import zipfile
def milliseconds_to_hertz(start, end, rate):
"""
Function which converts milliseconds to hertz timestamps... | <filename>data_processing/data_creation.py<gh_stars>1-10
from PyAV.av.io import read
import re
import numpy as np
import pandas as pd
from glob import glob
import os
from io import BytesIO
import zipfile
def milliseconds_to_hertz(start, end, rate):
"""
Function which converts milliseconds to hertz timestamps... | en | 0.776996 | Function which converts milliseconds to hertz timestamps :param start: start time in milliseconds :param end: end time in milliseconds :param rate: employed sampling rate during recording :return: start and end time in hertz Funtion which creates the a csv file using the WetLab mkv dataset files as inp... | 3.027001 | 3 |
bql/execution/runBenchmarks.py | sensorbee/sensorbee | 228 | 6622824 | #!/usr/bin/python
import os
import sys
import numpy
results = {}
for i in range(10):
output = os.popen("go test -run=XYZ -bench=.").read()
lines = output.strip().split("\n")
header = lines[0]
if not header == "PASS":
print "failed to run tests"
sys.exit(1)
for benchmark in lines[1... | #!/usr/bin/python
import os
import sys
import numpy
results = {}
for i in range(10):
output = os.popen("go test -run=XYZ -bench=.").read()
lines = output.strip().split("\n")
header = lines[0]
if not header == "PASS":
print "failed to run tests"
sys.exit(1)
for benchmark in lines[1... | ru | 0.258958 | #!/usr/bin/python | 2.518391 | 3 |
kraken/performance_scenarios/sql_histogram.py | FeixiDev/VersaTST | 2 | 6622825 | import sqlite3
import numpy as np
import matplotlib as mpl
from prettytable.prettytable import from_db_cursor
import yaml
mpl.use ('Agg')
# mpl.use ('TKAgg')
import matplotlib.pyplot as plt
import kraken.performance_scenarios.utils as utils
import kraken.performance_scenarios.log as log
import kraken.performance_scenar... | import sqlite3
import numpy as np
import matplotlib as mpl
from prettytable.prettytable import from_db_cursor
import yaml
mpl.use ('Agg')
# mpl.use ('TKAgg')
import matplotlib.pyplot as plt
import kraken.performance_scenarios.utils as utils
import kraken.performance_scenarios.log as log
import kraken.performance_scenar... | en | 0.250364 | # mpl.use ('TKAgg') # create connection object and database file # create a cursor for connection object # print(row) # plt.show() # print('bbbbb',b) # plt.show() # sql_graph_output() | 2.392496 | 2 |
OOP/Shop/project/product.py | petel3/Softuni_education | 2 | 6622826 | <gh_stars>1-10
class Product:
def __init__(self,name,quantity:int):
self.name = name
self.quantity = quantity
def decrease(self,quantity:int):
if self.quantity>=quantity:
self.quantity-=quantity
def increase(self,quantity:int):
self.quantity+=quantity
def ... | class Product:
def __init__(self,name,quantity:int):
self.name = name
self.quantity = quantity
def decrease(self,quantity:int):
if self.quantity>=quantity:
self.quantity-=quantity
def increase(self,quantity:int):
self.quantity+=quantity
def __repr__(self):... | none | 1 | 3.54 | 4 | |
pyqt5/yaziresimekle.py | onselaydin/pytry | 0 | 6622827 | <gh_stars>0
import sys
from PyQt5 import QtWidgets,QtGui
import os
def Pencere():
app = QtWidgets.QApplication(sys.argv)
pencere = QtWidgets.QWidget()
pencere.setWindowTitle("Test deneme kontrol başlık")
etiket1 = QtWidgets.QLabel(pencere)
etiket1.setText("AD SOYAD:")
etiket1.move(150,40)
... | import sys
from PyQt5 import QtWidgets,QtGui
import os
def Pencere():
app = QtWidgets.QApplication(sys.argv)
pencere = QtWidgets.QWidget()
pencere.setWindowTitle("Test deneme kontrol başlık")
etiket1 = QtWidgets.QLabel(pencere)
etiket1.setText("AD SOYAD:")
etiket1.move(150,40)
resim1 = Qt... | tr | 0.429385 | #pencere boyutu tespiti | 2.691059 | 3 |
hooks/webkitpy/common/checkout/changelog_unittest.py | nizovn/luna-sysmgr | 3 | 6622828 | <filename>hooks/webkitpy/common/checkout/changelog_unittest.py
# Copyright (C) 2009 Google Inc. 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 ... | <filename>hooks/webkitpy/common/checkout/changelog_unittest.py
# Copyright (C) 2009 Google Inc. 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 ... | en | 0.720879 | # Copyright (C) 2009 Google Inc. 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 conditions and the f... | 1.519807 | 2 |
dataset_converters/TDG2FRCNNConverter.py | igiloh/Dataset-Converters | 48 | 6622829 | from dataset_converters.ConverterBase import ConverterBase
import os
import cv2
class TDG2FRCNNConverter(ConverterBase):
formats = ['TDG2FRCNN']
def __init__(self, copy_fn):
ConverterBase.__init__(self, copy_fn)
def _run(self, input_folder, output_folder, FORMAT):
f = open(os.path.joi... | from dataset_converters.ConverterBase import ConverterBase
import os
import cv2
class TDG2FRCNNConverter(ConverterBase):
formats = ['TDG2FRCNN']
def __init__(self, copy_fn):
ConverterBase.__init__(self, copy_fn)
def _run(self, input_folder, output_folder, FORMAT):
f = open(os.path.joi... | none | 1 | 2.492778 | 2 | |
backend/accounts/views.py | mmohajer9/merchant | 4 | 6622830 | from rest_framework import viewsets
from rest_framework import permissions
# from rest_framework.response import Response
# from django.shortcuts import get_object_or_404
from .pagination import CustomLimitOffsetPagination
from .models import Country, Province, City, Seller, Address
from .serializers import (
Cou... | from rest_framework import viewsets
from rest_framework import permissions
# from rest_framework.response import Response
# from django.shortcuts import get_object_or_404
from .pagination import CustomLimitOffsetPagination
from .models import Country, Province, City, Seller, Address
from .serializers import (
Cou... | en | 0.42223 | # from rest_framework.response import Response # from django.shortcuts import get_object_or_404 # Create your views here. # default serializer and permission classes # override per action # "list": Serializer1, # "create": Serializer2, # "update": Serializer4, # "partial_update": Serializer5, # "destroy": Serializer6, ... | 1.958495 | 2 |
utils.py | IamEinstein/Ash | 0 | 6622831 | <gh_stars>0
def check_if_present(username: str, todo: str):
file = open('./users.txt', 'r')
if username in file.readlines():
if todo.lower() == "add":
file.close()
return False
else:
w_file = open('./users.txt', 'w')
w_file.write(username)
w_file.cl... | def check_if_present(username: str, todo: str):
file = open('./users.txt', 'r')
if username in file.readlines():
if todo.lower() == "add":
file.close()
return False
else:
w_file = open('./users.txt', 'w')
w_file.write(username)
w_file.close()
... | none | 1 | 3.440862 | 3 | |
analyzer.py | ibrahimhillowle/ibrahimhillowle.github.io | 0 | 6622832 | <reponame>ibrahimhillowle/ibrahimhillowle.github.io
import pandas as pd
from datetime import datetime
from datetime import timedelta
import lib_bamboo as bamboo
import os
os.system('cls') #Deze regel nog invullen! Hoe maak je het scherm leeg?
print("Working...")
data = pd.read_excel("Basketbal_Dutch Basketball League... | import pandas as pd
from datetime import datetime
from datetime import timedelta
import lib_bamboo as bamboo
import os
os.system('cls') #Deze regel nog invullen! Hoe maak je het scherm leeg?
print("Working...")
data = pd.read_excel("Basketbal_Dutch Basketball League_tussenstand.xlsx")
data["datum"] = pd.to_datetime(d... | nl | 0.975913 | #Deze regel nog invullen! Hoe maak je het scherm leeg? #Informatievraag 1 #Informatievraag 2 #Informatievraag 3 #Informatievraag 4 | 2.928988 | 3 |
mmdet/models/roi_extractors/__init__.py | ktw361/Local-Mid-Propagation | 10 | 6622833 | <reponame>ktw361/Local-Mid-Propagation
from .single_level import SingleRoIExtractor
from .multi_levels import MultiRoIExtractor
from .rfcn_single_level import RfcnPSRoIExtractor
__all__ = ['SingleRoIExtractor', 'MultiRoIExtractor', 'RfcnPSRoIExtractor']
| from .single_level import SingleRoIExtractor
from .multi_levels import MultiRoIExtractor
from .rfcn_single_level import RfcnPSRoIExtractor
__all__ = ['SingleRoIExtractor', 'MultiRoIExtractor', 'RfcnPSRoIExtractor'] | none | 1 | 1.077861 | 1 | |
spectra_cluster/ui/protein_annotator.py | qinchunyuan/spectra-cluster-py | 3 | 6622834 | <reponame>qinchunyuan/spectra-cluster-py
"""protein_annotator
This tool adds a protein accession column to a text file based on the present peptides.
The column containing the peptide string must be defined. Then, all proteins that match the given peptide are
written to a specified column.
Usage:
protein_annotator... | """protein_annotator
This tool adds a protein accession column to a text file based on the present peptides.
The column containing the peptide string must be defined. Then, all proteins that match the given peptide are
written to a specified column.
Usage:
protein_annotator.py --input=<input.tsv> --output=<extende... | en | 0.690182 | protein_annotator This tool adds a protein accession column to a text file based on the present peptides. The column containing the peptide string must be defined. Then, all proteins that match the given peptide are written to a specified column. Usage: protein_annotator.py --input=<input.tsv> --output=<extended_f... | 3.304748 | 3 |
scripts/utils/stats.py | coastalcph/eacl2021-morpherror | 2 | 6622835 | from stability_selection import RandomizedLogisticRegression
class PatchedRLG(RandomizedLogisticRegression):
def __init__(
self,
weakness=0.5,
tol=1e-4,
C=1.0,
fit_intercept=True,
intercept_scaling=1,
class_weight=None,
random_state=None,
sol... | from stability_selection import RandomizedLogisticRegression
class PatchedRLG(RandomizedLogisticRegression):
def __init__(
self,
weakness=0.5,
tol=1e-4,
C=1.0,
fit_intercept=True,
intercept_scaling=1,
class_weight=None,
random_state=None,
sol... | none | 1 | 2.40511 | 2 | |
presearch_bot.py | jakiiii/presearch | 0 | 6622836 | <reponame>jakiiii/presearch<filename>presearch_bot.py<gh_stars>0
from time import sleep
import random
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.action_chains import ActionChains
# TODO: Make a Long... | from time import sleep
import random
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.action_chains import ActionChains
# TODO: Make a Long List of keyword
all_keys = ["american legends", "income", "funny... | en | 0.332556 | # TODO: Make a Long List of keyword # ctrl + shift + enter => open new tab with link driver.execute_script("window.open('about:blank', 'tab2');") driver.switch_to.window("tab2") driver.get(url) sleep(10) driver.close() driver.switch_to.window(driver.window_handles[0]) sel = Selector(text=driver.page_source) link = sel.... | 2.999301 | 3 |
molecule/resources/tests/test_software.py | mesaguy/ansible-hashicorp | 2 | 6622837 | import os
import pytest
if os.getenv('HASHICORP_SOFTWARE_NAMES') is None:
SOFTWARE_NAMES = [
'boundary',
'consul',
'consul-template',
'envconsul',
'nomad',
'packer',
'sentinel',
'serf',
'terraform',
'vagrant',
'vault',
... | import os
import pytest
if os.getenv('HASHICORP_SOFTWARE_NAMES') is None:
SOFTWARE_NAMES = [
'boundary',
'consul',
'consul-template',
'envconsul',
'nomad',
'packer',
'sentinel',
'serf',
'terraform',
'vagrant',
'vault',
... | en | 0.88401 | # Contains two directories, "active" and the current version # Contains just one file, the binary | 2.259529 | 2 |
mapper/train.py | yubin1219/CLIP_PJ | 1 | 6622838 | <reponame>yubin1219/CLIP_PJ
import os
import json
import sys
import pprint
from argparse import Namespace
sys.path.append(".")
sys.path.append("..")
from mapper.options.train_options import TrainOptions
from mapper.utils import ensure_checkpoint_exists
from mapper.training.coach import Coach
def main(opts):
os.mak... | import os
import json
import sys
import pprint
from argparse import Namespace
sys.path.append(".")
sys.path.append("..")
from mapper.options.train_options import TrainOptions
from mapper.utils import ensure_checkpoint_exists
from mapper.training.coach import Coach
def main(opts):
os.makedirs(opts.exp_dir, exist_ok... | ko | 0.764253 | opt = {"exp_dir": "results/", # 저장할 파일 "model_download": True, # True : 사용할 pretrained 파일들 download "data_mode": "color", # 변화시킬 style ["hair", "color", "female", "male", "multi"] "text_embed_mode": None, # "clip_encoder" : CLIP text encoder로 얻은 text embedding vector 사용 , None : nn.embedding... | 2.228352 | 2 |
experiments/radix/nv/radix.py | enjalot/adventures_in_opencl | 152 | 6622839 | <gh_stars>100-1000
#http://documen.tician.de/pyopencl/
import pyopencl as cl
import numpy as np
import struct
import timing
timings = timing.Timing()
#ctx = cl.create_some_context()
mf = cl.mem_flags
class Radix:
def __init__(self, max_elements, cta_size, dtype):
self.WARP_SIZE = 32
self.SCAN_WG... | #http://documen.tician.de/pyopencl/
import pyopencl as cl
import numpy as np
import struct
import timing
timings = timing.Timing()
#ctx = cl.create_some_context()
mf = cl.mem_flags
class Radix:
def __init__(self, max_elements, cta_size, dtype):
self.WARP_SIZE = 32
self.SCAN_WG_SIZE = 256
... | en | 0.247864 | #http://documen.tician.de/pyopencl/ #ctx = cl.create_some_context() #print "num_blocks: ", num_blocks #print "numscan", numscan #MAX_WORKGROUP_INCLUSIVE_SCAN_SIZE 1024 #print "numElements", num #print "key_bits", key_bits #print "bit_step", self.bit_step #print "i*bit_step", i*self.bit_step #print "array length in step... | 2.305816 | 2 |
r2lm.py | hkaneko1985/r2lm | 1 | 6622840 | <gh_stars>1-10
# r^2 based on the latest measured y-values
import numpy as np
# Calculate r^2 based on the latest measured y-values
# measured_y and estimated_y must be vectors.
def r2lm(measured_y, estimated_y):
measured_y = np.array(measured_y).flatten()
estimated_y = np.array(estimated_y).flatten()... | # r^2 based on the latest measured y-values
import numpy as np
# Calculate r^2 based on the latest measured y-values
# measured_y and estimated_y must be vectors.
def r2lm(measured_y, estimated_y):
measured_y = np.array(measured_y).flatten()
estimated_y = np.array(estimated_y).flatten()
return fl... | en | 0.927792 | # r^2 based on the latest measured y-values # Calculate r^2 based on the latest measured y-values # measured_y and estimated_y must be vectors. | 3.102416 | 3 |
apps/patrimonio/apps/combustivel/apps/km/views.py | mequetrefe-do-subtroco/web_constel | 1 | 6622841 | <reponame>mequetrefe-do-subtroco/web_constel
import datetime
from pprint import pprint
from django.core.paginator import Paginator
from django.contrib.auth.decorators import login_required
from django.db.models import Q
from django.http import HttpRequest, HttpResponse, HttpResponseRedirect
from django.shortcuts impor... | import datetime
from pprint import pprint
from django.core.paginator import Paginator
from django.contrib.auth.decorators import login_required
from django.db.models import Q
from django.http import HttpRequest, HttpResponse, HttpResponseRedirect
from django.shortcuts import render
from constel.forms import FormFiltr... | none | 1 | 2.044914 | 2 | |
DM/models/comp_encoder.py | moonfoam/fewshot-font-generation | 49 | 6622842 | """
DMFont
Copyright (c) 2020-present NAVER Corp.
MIT license
"""
from functools import partial
import torch
import torch.nn as nn
from base.modules import ConvBlock, ResBlock, GCBlock, SAFFNBlock
class ComponentEncoder(nn.Module):
def __init__(self, n_heads=3):
super().__init__()
self.n_heads = n... | """
DMFont
Copyright (c) 2020-present NAVER Corp.
MIT license
"""
from functools import partial
import torch
import torch.nn as nn
from base.modules import ConvBlock, ResBlock, GCBlock, SAFFNBlock
class ComponentEncoder(nn.Module):
def __init__(self, n_heads=3):
super().__init__()
self.n_heads = n... | en | 0.400977 | DMFont Copyright (c) 2020-present NAVER Corp. MIT license # 128x128 # 64x64 # 32x32 # 16x16 | 2.076434 | 2 |
src/gui.py | Jack477/CommanderPi_rockpi | 3 | 6622843 | #!/usr/bin/python
import sys
import os
import resources as rs
import update as up
import tkinter as tk
import theme as th
import importlib
import webbrowser
from tkinter import messagebox as msb
from tkinter import *
from tkinter import ttk
from PIL import Image, ImageTk
### TODO: Move change_theme funct... | #!/usr/bin/python
import sys
import os
import resources as rs
import update as up
import tkinter as tk
import theme as th
import importlib
import webbrowser
from tkinter import messagebox as msb
from tkinter import *
from tkinter import ttk
from PIL import Image, ImageTk
### TODO: Move change_theme funct... | en | 0.399893 | #!/usr/bin/python ### TODO: Move change_theme function to theme.py? ### split resources.py into smaller files ### move window_list from theme.py to resources #print(th.color_mode) ### Use in window class: master.protocol("WM_DELETE_WINDOW", lambda:on_Window_Close(master)) ### Using to keybind window kill ### Open new w... | 2.622159 | 3 |
MobileRobot_class.py | michelyakoub/Reinforcement-learning-based-navigation-for-autonomous-mobile-robots-in-unknown-environments | 0 | 6622844 | import sys
sys.path.append(r"E:\GUC\semester 8\codes\gym_pathfinding_master")
import gym
import gym_pathfinding
import math
import numpy as np
import matplotlib.pyplot as plt
class Robot(object) :
""" Defines basic mobile robot properties """
def __init__(self) :
self.pos_x = 0.0
s... | import sys
sys.path.append(r"E:\GUC\semester 8\codes\gym_pathfinding_master")
import gym
import gym_pathfinding
import math
import numpy as np
import matplotlib.pyplot as plt
class Robot(object) :
""" Defines basic mobile robot properties """
def __init__(self) :
self.pos_x = 0.0
s... | en | 0.540397 | Defines basic mobile robot properties #sample time # Movement updates the x , y and angle Moves the robot for an ' s ' amount of seconds # plot path every 3 steps # Printing−and−plotting : prints the x , y position and angle plots a representation of the robot plots a dot in the position of the robot Defines a MobileRo... | 3.819983 | 4 |
lamana/input_.py | par2/lamana | 1 | 6622845 | <gh_stars>1-10
# -----------------------------------------------------------------------------
'''Classes and functions for handling user inputs.'''
# Geometry(): parse user input geometry strings to a tuple of floats (and lists/str)
# BaseDefaults(): library of general geometry defaults; subclassed by the user.
# flak... | # -----------------------------------------------------------------------------
'''Classes and functions for handling user inputs.'''
# Geometry(): parse user input geometry strings to a tuple of floats (and lists/str)
# BaseDefaults(): library of general geometry defaults; subclassed by the user.
# flake8 input_.py --... | en | 0.535416 | # ----------------------------------------------------------------------------- Classes and functions for handling user inputs. # Geometry(): parse user input geometry strings to a tuple of floats (and lists/str) # BaseDefaults(): library of general geometry defaults; subclassed by the user. # flake8 input_.py --ignore... | 2.92875 | 3 |
appengine/swarming/backend_conversions.py | maruel/swarming | 74 | 6622846 | <gh_stars>10-100
# Copyright 2021 The LUCI Authors. All rights reserved.
# Use of this source code is governed under the Apache License, Version 2.0
# that can be found in the LICENSE file.
"""Functions that convert internal to/from Backend API's protoc objects."""
import collections
import copy
import posixpath
from... | # Copyright 2021 The LUCI Authors. All rights reserved.
# Use of this source code is governed under the Apache License, Version 2.0
# that can be found in the LICENSE file.
"""Functions that convert internal to/from Backend API's protoc objects."""
import collections
import copy
import posixpath
from google.appengine... | en | 0.721008 | # Copyright 2021 The LUCI Authors. All rights reserved. # Use of this source code is governed under the Apache License, Version 2.0 # that can be found in the LICENSE file. Functions that convert internal to/from Backend API's protoc objects. # This is the path, relative to the swarming run dir, to the directory that #... | 2.049047 | 2 |
tests/utils/__init__.py | yaak-ai/mapillary-python-sdk | 13 | 6622847 | # Copyright (c) Facebook, Inc. and its affiliates. (http://www.facebook.com)
# -*- coding: utf-8 -*-
"""
tests.utils.__init__
This module loads the modules under src/mapillary/utils for tests
:copyright: (c) 2021 Facebook
:license: MIT LICENSE
"""
# Exraction testing
from . import test_extract # noqa: F401
# Filt... | # Copyright (c) Facebook, Inc. and its affiliates. (http://www.facebook.com)
# -*- coding: utf-8 -*-
"""
tests.utils.__init__
This module loads the modules under src/mapillary/utils for tests
:copyright: (c) 2021 Facebook
:license: MIT LICENSE
"""
# Exraction testing
from . import test_extract # noqa: F401
# Filt... | en | 0.532067 | # Copyright (c) Facebook, Inc. and its affiliates. (http://www.facebook.com) # -*- coding: utf-8 -*- tests.utils.__init__ This module loads the modules under src/mapillary/utils for tests :copyright: (c) 2021 Facebook :license: MIT LICENSE # Exraction testing # noqa: F401 # Filter testing # noqa: F401 | 1.152469 | 1 |
GridSearch.py | he71dulu/time-aware-pbpm | 10 | 6622848 |
"""
This scripts help to get best parameters for each model from the history of hyperparameter tuning.
"""
import numpy as np
import pickle
import matplotlib.pyplot as plt
from matplotlib.backends.backend_pdf import PdfPages
import pandas as pd
"""
GridSearch
......................................
... |
"""
This scripts help to get best parameters for each model from the history of hyperparameter tuning.
"""
import numpy as np
import pickle
import matplotlib.pyplot as plt
from matplotlib.backends.backend_pdf import PdfPages
import pandas as pd
"""
GridSearch
......................................
... | en | 0.496681 | This scripts help to get best parameters for each model from the history of hyperparameter tuning. GridSearch ...................................... Finding the best set of hyperparameters for each model Variables ------------------- HP_NUM_UNIT... | 3.201799 | 3 |
backend/desk_application/sources/serializers/desk_serializer.py | heyImDrew/edupro | 0 | 6622849 | <filename>backend/desk_application/sources/serializers/desk_serializer.py<gh_stars>0
from rest_framework import serializers
class DeskSerializer(serializers.Serializer):
desk_id = serializers.UUIDField()
created_by_id = serializers.IntegerField()
name = serializers.CharField()
description = serializer... | <filename>backend/desk_application/sources/serializers/desk_serializer.py<gh_stars>0
from rest_framework import serializers
class DeskSerializer(serializers.Serializer):
desk_id = serializers.UUIDField()
created_by_id = serializers.IntegerField()
name = serializers.CharField()
description = serializer... | none | 1 | 1.838824 | 2 | |
synapse/vendor/cashaddress/__init__.py | vishalbelsare/synapse | 216 | 6622850 | # It has been modified for vendored imports.
import synapse.vendor.cashaddress.convert
import synapse.vendor.cashaddress.crypto
__all__ = ['convert', 'convert']
| # It has been modified for vendored imports.
import synapse.vendor.cashaddress.convert
import synapse.vendor.cashaddress.crypto
__all__ = ['convert', 'convert']
| en | 0.990465 | # It has been modified for vendored imports. | 1.115067 | 1 |