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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
765bdbd234fb42e7aa71522393ad38a642d864a9 | 13,184 | py | Python | web/adoption_stories/adopteeStories/models.py | CuriousG102/Chinese-Adoption | 8aa487b859ee330bd524381e8688aae68c225437 | [
"MIT"
] | null | null | null | web/adoption_stories/adopteeStories/models.py | CuriousG102/Chinese-Adoption | 8aa487b859ee330bd524381e8688aae68c225437 | [
"MIT"
] | null | null | null | web/adoption_stories/adopteeStories/models.py | CuriousG102/Chinese-Adoption | 8aa487b859ee330bd524381e8688aae68c225437 | [
"MIT"
] | null | null | null | from django.db import models
from django.utils.encoding import force_text
from django.utils.translation import ugettext_lazy as _
from embed_video.fields import EmbedYoutubeField, EmbedSoundcloudField
from .custom_model_fields import RestrictedImageField
from .default_settings import ADOPTEE_STORIES_CONFIG as config
... | 51.701961 | 112 | 0.586999 |
765c85c98a88ed131ecd9f838f2186d4fb82671f | 169 | py | Python | core/utils/gpu_check.py | andregri/keras-segmentation | 699043adc4dd74b97cbed3d3e5b8d8aafb03b71c | [
"Apache-2.0"
] | null | null | null | core/utils/gpu_check.py | andregri/keras-segmentation | 699043adc4dd74b97cbed3d3e5b8d8aafb03b71c | [
"Apache-2.0"
] | null | null | null | core/utils/gpu_check.py | andregri/keras-segmentation | 699043adc4dd74b97cbed3d3e5b8d8aafb03b71c | [
"Apache-2.0"
] | null | null | null | import tensorflow as tf
check_gpu()
| 16.9 | 69 | 0.715976 |
765cc31257c572ee270073568f4fce119056c92f | 4,533 | py | Python | pinakes/common/auth/keycloak_django/tests/test_permission_checks.py | Alex-Izquierdo/pinakes | dfeb855662b47d29a6e976e87fd7c090a262cf3f | [
"Apache-2.0"
] | 2 | 2022-03-17T18:53:58.000Z | 2022-03-17T22:04:22.000Z | pinakes/common/auth/keycloak_django/tests/test_permission_checks.py | Alex-Izquierdo/pinakes | dfeb855662b47d29a6e976e87fd7c090a262cf3f | [
"Apache-2.0"
] | 9 | 2022-03-18T08:22:57.000Z | 2022-03-30T17:14:49.000Z | pinakes/common/auth/keycloak_django/tests/test_permission_checks.py | Alex-Izquierdo/pinakes | dfeb855662b47d29a6e976e87fd7c090a262cf3f | [
"Apache-2.0"
] | 7 | 2022-03-17T22:03:08.000Z | 2022-03-28T21:28:34.000Z | from unittest import mock
from pinakes.common.auth.keycloak.models import (
AuthzPermission,
AuthzResource,
)
from pinakes.common.auth.keycloak_django.permissions import (
check_wildcard_permission,
check_resource_permission,
check_object_permission,
get_permitted_resources,
)
| 29.245161 | 79 | 0.736378 |
765e377ff705e12f7620a2be9a2df5b9f1f29c8c | 138 | py | Python | apps/misc/context_processors.py | Thom03/edms-django | ad686a815d612f55921d6893093690311eeb831f | [
"MIT"
] | 70 | 2019-05-26T11:48:32.000Z | 2022-02-16T21:33:58.000Z | apps/misc/context_processors.py | CalebeGeazi/CoinBox | 351611745d496d3cd3d871f96eb705250b5ec03f | [
"MIT"
] | 7 | 2019-10-18T20:20:04.000Z | 2021-04-21T15:25:15.000Z | apps/misc/context_processors.py | CalebeGeazi/CoinBox | 351611745d496d3cd3d871f96eb705250b5ec03f | [
"MIT"
] | 26 | 2019-07-07T17:06:00.000Z | 2022-01-20T06:40:39.000Z | from django.utils.translation import get_language
| 15.333333 | 49 | 0.688406 |
765e4582dc810b4ad81584abb60251666d3180b8 | 20,723 | py | Python | server.py | Arztpraxis/uno-server | 1f87b0ea47d2f5bfc797a69b534aa8472cfdfb75 | [
"MIT"
] | null | null | null | server.py | Arztpraxis/uno-server | 1f87b0ea47d2f5bfc797a69b534aa8472cfdfb75 | [
"MIT"
] | null | null | null | server.py | Arztpraxis/uno-server | 1f87b0ea47d2f5bfc797a69b534aa8472cfdfb75 | [
"MIT"
] | null | null | null | from json import JSONEncoder
from random import choice, sample
from threading import Thread, Timer, Lock
from types import SimpleNamespace
from os import execv
from sys import argv, executable
from optparse import OptionParser
from shlex import split
# Networking
from wsgiref.simple_server import make_server
from ws4p... | 25.742857 | 87 | 0.700429 |
765ea91849f86020b6b972615c1e086ac4542de7 | 3,209 | py | Python | interface/seed.py | matthewruttley/Bucketerer | 828ee949b1f53b8432cfe7cf7cae0f6eec7d677f | [
"MIT"
] | null | null | null | interface/seed.py | matthewruttley/Bucketerer | 828ee949b1f53b8432cfe7cf7cae0f6eec7d677f | [
"MIT"
] | null | null | null | interface/seed.py | matthewruttley/Bucketerer | 828ee949b1f53b8432cfe7cf7cae0f6eec7d677f | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#Creates an ad bucket with a seed term/domain
from pymongo import MongoClient
from similarity import find_by_html, find_by_similarsites, create_connection, tokenize_clean
from tabulate import tabulate
verbose = False
def get_rank(c, domain):
"""Gets the alexa rank for a domain. Returns False i... | 28.149123 | 97 | 0.722655 |
766084a20156128ac28bfcc2ddc378e26abbd081 | 1,461 | py | Python | functional_tests/tests.py | BFH-E1D-2015-2016/iotdemo | 3440517401b8ef45cc1d3fa8c455671e743d706b | [
"MIT"
] | null | null | null | functional_tests/tests.py | BFH-E1D-2015-2016/iotdemo | 3440517401b8ef45cc1d3fa8c455671e743d706b | [
"MIT"
] | 1 | 2019-11-06T08:24:26.000Z | 2019-11-06T08:24:26.000Z | functional_tests/tests.py | BFH-E1D-2015-2016/iotdemo | 3440517401b8ef45cc1d3fa8c455671e743d706b | [
"MIT"
] | 1 | 2019-03-27T14:48:36.000Z | 2019-03-27T14:48:36.000Z | from django.test import LiveServerTestCase
from selenium import webdriver
| 28.647059 | 123 | 0.670773 |
76611209864a777f582d19c43d076245dd3008ea | 1,568 | py | Python | imagepy/menus/Plugins/Manager/console_wgt.py | cycleuser/imagepy | 5dc1a9a8137280c5215287392ba1b23d368bd7e9 | [
"BSD-4-Clause"
] | 1 | 2020-06-17T05:16:46.000Z | 2020-06-17T05:16:46.000Z | imagepy/menus/Plugins/Manager/console_wgt.py | cycleuser/imagepy | 5dc1a9a8137280c5215287392ba1b23d368bd7e9 | [
"BSD-4-Clause"
] | null | null | null | imagepy/menus/Plugins/Manager/console_wgt.py | cycleuser/imagepy | 5dc1a9a8137280c5215287392ba1b23d368bd7e9 | [
"BSD-4-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
import wx
from wx.py.shell import Shell
import scipy.ndimage as ndimg
import numpy as np
# from imagepy import IPy
from imagepy.core.engine import Free
from sciapp import Source
cmds = {'app':'app', 'np':np, 'ndimg':ndimg, 'update':None, 'get_img':None} | 41.263158 | 123 | 0.596301 |
7661b5a5e9e423f4f23155f54765fa1febca32f0 | 2,002 | py | Python | Support/Fuego/Pythia/pythia-0.5/packages/pyre/pyre/applications/Application.py | balos1/PelePhysics | d01190cc7b0eaad4ec96fac573034ccb485f0e9f | [
"BSD-3-Clause-LBNL"
] | 31 | 2018-11-21T01:49:06.000Z | 2022-03-30T03:41:43.000Z | Support/Fuego/Pythia/pythia-0.5/packages/pyre/pyre/applications/Application.py | balos1/PelePhysics | d01190cc7b0eaad4ec96fac573034ccb485f0e9f | [
"BSD-3-Clause-LBNL"
] | 123 | 2019-03-12T22:27:29.000Z | 2022-03-29T17:00:04.000Z | Support/Fuego/Pythia/pythia-0.5/packages/pyre/pyre/applications/Application.py | sundials-codes/PelePhysics | 5624f83a04f43aa95288be9d8a7bb372a4adefe6 | [
"BSD-3-Clause-LBNL"
] | 32 | 2018-11-05T11:51:59.000Z | 2022-03-29T13:09:32.000Z | #!/usr/bin/env python
#
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#
# Michael A.G. Aivazis
# California Institute of Technology
# (C) 1998-2003 All Rights Reserved
#
# <LicenseText>
#
# ~~~~~~~~~~~~~~~~~~~~~~~~... | 22.244444 | 80 | 0.539461 |
7661be5bdbfa6ef0baed25f569d43c16bca82340 | 7,393 | py | Python | cars/models.py | zhangpotato/kx_backmanage | 5a484c19616a77a75698f63b8fa220ee027c0c17 | [
"Apache-2.0"
] | null | null | null | cars/models.py | zhangpotato/kx_backmanage | 5a484c19616a77a75698f63b8fa220ee027c0c17 | [
"Apache-2.0"
] | null | null | null | cars/models.py | zhangpotato/kx_backmanage | 5a484c19616a77a75698f63b8fa220ee027c0c17 | [
"Apache-2.0"
] | null | null | null | from django.db import models
# Create your models here.
| 52.06338 | 90 | 0.739889 |
76638422cf9ebc3c0f5b9d7f1f24d4651283c521 | 1,250 | py | Python | pytorch_binding/setup.py | rickyHong/Warp-ctc-repl | 9a2f718ac03588a2d91ffbce57e06350e0fe4fee | [
"Apache-2.0"
] | null | null | null | pytorch_binding/setup.py | rickyHong/Warp-ctc-repl | 9a2f718ac03588a2d91ffbce57e06350e0fe4fee | [
"Apache-2.0"
] | null | null | null | pytorch_binding/setup.py | rickyHong/Warp-ctc-repl | 9a2f718ac03588a2d91ffbce57e06350e0fe4fee | [
"Apache-2.0"
] | null | null | null | # build.py
import os
import platform
import sys
from distutils.core import setup
from torch.utils.ffi import create_extension
extra_compile_args = ['-std=c++11', '-fPIC']
warp_ctc_path = "../build"
if platform.system() == 'Darwin':
lib_ext = ".dylib"
else:
lib_ext = ".so"
if "WARP_CTC_PATH" in os.environ:
... | 27.777778 | 75 | 0.6872 |
76664b71c48bb37a8d1d4e8a21d159c35c4c4f30 | 5,275 | py | Python | ddganAE/utils.py | Zeff020/Adversarial_ROM | 8c9e7ff86250e9370e5fdd2018f9ad04ded5f122 | [
"MIT"
] | 1 | 2021-12-27T06:14:32.000Z | 2021-12-27T06:14:32.000Z | ddganAE/utils.py | Zeff020/Adversarial_ROM | 8c9e7ff86250e9370e5fdd2018f9ad04ded5f122 | [
"MIT"
] | null | null | null | ddganAE/utils.py | Zeff020/Adversarial_ROM | 8c9e7ff86250e9370e5fdd2018f9ad04ded5f122 | [
"MIT"
] | 3 | 2021-08-05T11:17:37.000Z | 2021-09-02T02:37:44.000Z | """
General utilities for package
"""
import numpy as np
import keras.backend as K
from keras.losses import mse
__author__ = "Zef Wolffs"
__credits__ = ["Claire Heaney"]
__license__ = "MIT"
__version__ = "1.0.0"
__maintainer__ = "Zef Wolffs"
__email__ = "zefwolffs@gmail.com"
__status__ = "Development"
def calc_po... | 28.825137 | 80 | 0.561896 |
766833811c4404edc21132096dd4af5a0802f1ce | 8,923 | py | Python | Preprocess/mosaic_utils.py | monchhichizzq/CenterNet | 718bfbfa1940a8b068ab359aaca6737c3c173ad0 | [
"MIT"
] | null | null | null | Preprocess/mosaic_utils.py | monchhichizzq/CenterNet | 718bfbfa1940a8b068ab359aaca6737c3c173ad0 | [
"MIT"
] | null | null | null | Preprocess/mosaic_utils.py | monchhichizzq/CenterNet | 718bfbfa1940a8b068ab359aaca6737c3c173ad0 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# @Time : 2020/12/28 23:33
# @Author : Zeqi@@
# @FileName: mosaic_utils.py
# @Software: PyCharm
import os
import cv2
from PIL import Image
import numpy as np
if __name__ == "__main__":
annotation_path = '../Preparation/data_txt'
annotation_lines = open(os.path.join(annotation_pa... | 35.268775 | 116 | 0.455004 |
7668a391529415983ac3244d55ce03076f5a3acc | 146 | py | Python | starter_code/api_keys.py | tstenner1/python-api-challenge | dfc0642da6831d80664514d0705865f01e5c6c5a | [
"ADSL"
] | null | null | null | starter_code/api_keys.py | tstenner1/python-api-challenge | dfc0642da6831d80664514d0705865f01e5c6c5a | [
"ADSL"
] | null | null | null | starter_code/api_keys.py | tstenner1/python-api-challenge | dfc0642da6831d80664514d0705865f01e5c6c5a | [
"ADSL"
] | null | null | null | # OpenWeatherMap API Key
weather_api_key = "f4695ec49ac558195fc591f0d450c34c"
# Google API Key
g_key = "AIzaSyAyIq5hhFN-Y0M16Ltie3YuwpDiKWx8tCk"
| 24.333333 | 52 | 0.835616 |
76697ffea65a3048f61ff82f93d0bee2b75272f6 | 1,535 | py | Python | zoopla_history.py | chaudhary-amit/zoopla-scraper | 9486a549bbd245493cdf5ec757fac9b003e9201f | [
"MIT"
] | 1 | 2022-01-13T16:49:57.000Z | 2022-01-13T16:49:57.000Z | zoopla_history.py | chaudhary-amit/zoopla-scraper | 9486a549bbd245493cdf5ec757fac9b003e9201f | [
"MIT"
] | null | null | null | zoopla_history.py | chaudhary-amit/zoopla-scraper | 9486a549bbd245493cdf5ec757fac9b003e9201f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Jun 26 16:48:20 2017
@author: AC
"""
import logging
from lxml import html
import requests
import zoopla_rq
logger = logging.getLogger()
| 28.425926 | 76 | 0.566775 |
766aab70e53fbf30d766b2eb2c674ed0d93615eb | 604 | py | Python | cavoke_server/tasks.py | cavoke-project/cavoke_server | 5d2e39ca760e140ab9a8b0c50b45a6d4b22e21b5 | [
"MIT"
] | null | null | null | cavoke_server/tasks.py | cavoke-project/cavoke_server | 5d2e39ca760e140ab9a8b0c50b45a6d4b22e21b5 | [
"MIT"
] | 1 | 2020-01-06T17:47:03.000Z | 2020-01-06T17:47:03.000Z | cavoke_server/tasks.py | cavoke-project/cavoke-server | 5d2e39ca760e140ab9a8b0c50b45a6d4b22e21b5 | [
"MIT"
] | null | null | null | # from celery.schedules import crontab
# from celery.task import periodic_task
# from django.utils import timezone
# from cavoke_app.models import GameSession
#
#
# @periodic_task(run_every=crontab(minute='*/1'))
# def delete_old_foos():
# # Query all the foos in our database
# gss = GameSession.objects.all()
#... | 30.2 | 67 | 0.655629 |
766ae60371b09b86c76e076b90ac87115e738f34 | 830 | py | Python | src/stock/lib/daily.py | callim105/alphascan | a8eea45b3560a369b186c9971b01351a7a900d13 | [
"MIT"
] | 1 | 2021-12-03T01:30:12.000Z | 2021-12-03T01:30:12.000Z | src/stock/lib/daily.py | callim105/alphascan | a8eea45b3560a369b186c9971b01351a7a900d13 | [
"MIT"
] | null | null | null | src/stock/lib/daily.py | callim105/alphascan | a8eea45b3560a369b186c9971b01351a7a900d13 | [
"MIT"
] | null | null | null | import requests
import pandas as pd
from util.api_util import AV_API_KEY | 34.583333 | 134 | 0.584337 |
766b5f11549c7cb69fb9753e27e954a3ff27f37d | 2,047 | py | Python | FindingUsefulPoints/CodeThatClassifiesPoints.py | PaoloMura/VoronoiAR | 373d2d4858b7cd1a6ae95692ffaab382542bca4a | [
"MIT"
] | null | null | null | FindingUsefulPoints/CodeThatClassifiesPoints.py | PaoloMura/VoronoiAR | 373d2d4858b7cd1a6ae95692ffaab382542bca4a | [
"MIT"
] | null | null | null | FindingUsefulPoints/CodeThatClassifiesPoints.py | PaoloMura/VoronoiAR | 373d2d4858b7cd1a6ae95692ffaab382542bca4a | [
"MIT"
] | null | null | null | from Point import *
'''
A function that compares the distance of all the other points to a cast point
with the distance from that cast point to the point it was casted from and
returns either a closer point than the original one or the cast if the original
was already the closest one
'''
# Just a handy function that ... | 26.24359 | 109 | 0.686859 |
767007c2e137e066c7c342a0aed20d260bc5e9d2 | 3,091 | py | Python | label_studio/ml/examples/object_detection.py | zoumt1633/label-studio | 324d542b49b42cac5c9a3e23373b9febaf9a426e | [
"Apache-2.0"
] | null | null | null | label_studio/ml/examples/object_detection.py | zoumt1633/label-studio | 324d542b49b42cac5c9a3e23373b9febaf9a426e | [
"Apache-2.0"
] | null | null | null | label_studio/ml/examples/object_detection.py | zoumt1633/label-studio | 324d542b49b42cac5c9a3e23373b9febaf9a426e | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# @Time : 2020/7/12 14:19
# @Author : zoumaotai
# @Email : zoumaotai@ailongma.com
# @File : object_detection.py
# @Software: PyCharm
import random
import urllib
from gluoncv import model_zoo, data
from label_studio.ml import LabelStudioMLBase
import mxnet as mx
| 38.6375 | 110 | 0.461663 |
7671557048679bb49752d923c9406604fe45cfb7 | 4,295 | py | Python | ee/cli/plugins/sync.py | quimica/easyengine | 07056759922a6e05949ca4b56ee94df6b2e580de | [
"MIT"
] | null | null | null | ee/cli/plugins/sync.py | quimica/easyengine | 07056759922a6e05949ca4b56ee94df6b2e580de | [
"MIT"
] | null | null | null | ee/cli/plugins/sync.py | quimica/easyengine | 07056759922a6e05949ca4b56ee94df6b2e580de | [
"MIT"
] | null | null | null | from cement.core.controller import CementBaseController, expose
from cement.core import handler, hook
from ee.core.fileutils import EEFileUtils
from ee.cli.plugins.sitedb import *
from ee.core.mysql import *
from ee.core.logging import Log
| 44.739583 | 94 | 0.469849 |
7672b96f23df1eb333154249a0fe4fcc3c65df84 | 7,534 | py | Python | nempy/spot_markert_backend/variable_ids.py | hy3440/nempy | ffc6c3e1a0becde8cbf6ba56d5885768dc1c0a37 | [
"BSD-3-Clause"
] | 24 | 2020-05-16T11:46:25.000Z | 2022-03-29T22:25:09.000Z | nempy/spot_markert_backend/variable_ids.py | hy3440/nempy | ffc6c3e1a0becde8cbf6ba56d5885768dc1c0a37 | [
"BSD-3-Clause"
] | 6 | 2020-11-17T22:37:35.000Z | 2022-03-03T00:11:08.000Z | nempy/spot_markert_backend/variable_ids.py | hy3440/nempy | ffc6c3e1a0becde8cbf6ba56d5885768dc1c0a37 | [
"BSD-3-Clause"
] | 12 | 2020-04-30T09:42:22.000Z | 2022-03-06T23:45:08.000Z | import pandas as pd
import numpy as np
from nempy.help_functions import helper_functions as hf
def bids(volume_bids, unit_info, next_variable_id):
"""Create decision variables that correspond to unit bids, for use in the linear program.
This function defines the needed parameters for each variable, with a lo... | 48.922078 | 120 | 0.541147 |
7673a924d37892716bfea072dd29ec7597bd35da | 3,422 | py | Python | numba/cuda/tests/cudapy/test_random.py | blair1306/numba | 3b9647d17d653abac15363da604eeb804dbdd15a | [
"BSD-2-Clause"
] | 76 | 2020-07-06T14:44:05.000Z | 2022-02-14T15:30:21.000Z | numba/cuda/tests/cudapy/test_random.py | blair1306/numba | 3b9647d17d653abac15363da604eeb804dbdd15a | [
"BSD-2-Clause"
] | 11 | 2020-08-09T02:30:14.000Z | 2022-03-12T00:50:14.000Z | numba/cuda/tests/cudapy/test_random.py | blair1306/numba | 3b9647d17d653abac15363da604eeb804dbdd15a | [
"BSD-2-Clause"
] | 11 | 2020-07-12T16:18:07.000Z | 2022-02-05T16:48:35.000Z | import math
import numpy as np
from numba import cuda, float32
from numba.cuda.testing import unittest
import numba.cuda.random
from numba.cuda.testing import skip_on_cudasim, CUDATestCase
from numba.cuda.random import \
xoroshiro128p_uniform_float32, xoroshiro128p_normal_float32, \
xoroshiro128p_uniform_flo... | 33.881188 | 89 | 0.688778 |
767403c68c6963f4ac7af7065b349de0b68aecd1 | 4,307 | py | Python | reviewboard/scmtools/sshutils.py | smorley/reviewboard | 39dd1166fdec19d4fbced965b42a3a23a3b6b956 | [
"MIT"
] | 1 | 2019-01-16T11:59:40.000Z | 2019-01-16T11:59:40.000Z | reviewboard/scmtools/sshutils.py | smorley/reviewboard | 39dd1166fdec19d4fbced965b42a3a23a3b6b956 | [
"MIT"
] | null | null | null | reviewboard/scmtools/sshutils.py | smorley/reviewboard | 39dd1166fdec19d4fbced965b42a3a23a3b6b956 | [
"MIT"
] | null | null | null | import os
import urlparse
from django.utils.translation import ugettext_lazy as _
import paramiko
from reviewboard.scmtools.errors import AuthenticationError, \
BadHostKeyError, SCMError, \
UnknownHostKeyError
# A list of known SSH URL ... | 30.118881 | 79 | 0.602972 |
7676eaebbf4a10d110f2aa934b65cc618ec30ec1 | 10,056 | py | Python | extract_data.py | dsrincon/bitcoin_network_analysis | 897cdf6c2ad02a5790f4fb1b16382c4e4b31b0d2 | [
"MIT"
] | null | null | null | extract_data.py | dsrincon/bitcoin_network_analysis | 897cdf6c2ad02a5790f4fb1b16382c4e4b31b0d2 | [
"MIT"
] | null | null | null | extract_data.py | dsrincon/bitcoin_network_analysis | 897cdf6c2ad02a5790f4fb1b16382c4e4b31b0d2 | [
"MIT"
] | 1 | 2021-03-25T20:00:12.000Z | 2021-03-25T20:00:12.000Z | # -*- coding: utf-8 -*-
# Functions and Script to extract data
import blocksci
import pandas as pd
import numpy as np
import networkx as nx
import multiprocessing as mp
import itertools
import random
import time
import string
import pickle
import csv
import gc
import os, sys
from functools import partial
#********... | 30.380665 | 162 | 0.699682 |
767a24e4966929593e14aec0be63ad350928e7b1 | 1,616 | py | Python | egs/wmt14_en_de/nlp1/local/generate_stand_vocab.py | didichuxing/delta | 31dfebc8f20b7cb282b62f291ff25a87e403cc86 | [
"Apache-2.0"
] | 1,442 | 2019-07-09T07:34:28.000Z | 2020-11-15T09:52:09.000Z | egs/wmt14_en_de/nlp1/local/generate_stand_vocab.py | didichuxing/delta | 31dfebc8f20b7cb282b62f291ff25a87e403cc86 | [
"Apache-2.0"
] | 93 | 2019-07-22T09:20:20.000Z | 2020-11-13T01:59:30.000Z | egs/wmt14_en_de/nlp1/local/generate_stand_vocab.py | didichuxing/delta | 31dfebc8f20b7cb282b62f291ff25a87e403cc86 | [
"Apache-2.0"
] | 296 | 2019-07-09T07:35:28.000Z | 2020-11-16T02:27:51.000Z | # Copyright (C) 2017 Beijing Didi Infinity Technology and Development Co.,Ltd.
# All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | 34.382979 | 80 | 0.618193 |
767a289d0241b57b9fea319169e096af9bc0394e | 6,524 | py | Python | Preprocessing/Crawler/Crawler.py | sambacha/pyblock | f8f207de36a2f91dfe5f61681eba0e371cb0c552 | [
"MIT"
] | null | null | null | Preprocessing/Crawler/Crawler.py | sambacha/pyblock | f8f207de36a2f91dfe5f61681eba0e371cb0c552 | [
"MIT"
] | null | null | null | Preprocessing/Crawler/Crawler.py | sambacha/pyblock | f8f207de36a2f91dfe5f61681eba0e371cb0c552 | [
"MIT"
] | null | null | null | """A client to interact with node and to save data to mongo."""
from pymongo import MongoClient
import crawler_util
import requests
import json
import sys
import os
import logging
import time
import tqdm
sys.path.append(os.path.realpath(os.path.dirname(__file__)))
DIR = "/mnt/c/data/db"
LOGFIL = "crawler.log"
if "BL... | 36.244444 | 84 | 0.591355 |
767abb3e3d12d3c5ac07f73a70a0a54a78206ee1 | 302 | py | Python | packages/models-library/src/models_library/__init__.py | elisabettai/osparc-simcore | ad7b6e05111b50fe95e49306a992170490a7247f | [
"MIT"
] | null | null | null | packages/models-library/src/models_library/__init__.py | elisabettai/osparc-simcore | ad7b6e05111b50fe95e49306a992170490a7247f | [
"MIT"
] | 55 | 2018-05-15T09:47:00.000Z | 2022-03-31T06:56:50.000Z | packages/models-library/src/models_library/__init__.py | mrnicegyu11/osparc-simcore | b6fa6c245dbfbc18cc74a387111a52de9b05d1f4 | [
"MIT"
] | 1 | 2020-04-22T15:06:58.000Z | 2020-04-22T15:06:58.000Z | """ osparc's service models library
"""
#
# NOTE:
# - "examples" = [ ...] keyword and NOT "example". See https://json-schema.org/understanding-json-schema/reference/generic.html#annotations
#
import pkg_resources
__version__: str = pkg_resources.get_distribution("simcore-models-library").version
| 25.166667 | 141 | 0.738411 |
767bc9780baf150a4175689b7f218ae850fdbe0b | 257 | py | Python | chords/more/gevent_task.py | omergertel/chords | 1f5dd50f55f21ee32b8a4d7b808687d8ed1400c2 | [
"MIT"
] | null | null | null | chords/more/gevent_task.py | omergertel/chords | 1f5dd50f55f21ee32b8a4d7b808687d8ed1400c2 | [
"MIT"
] | null | null | null | chords/more/gevent_task.py | omergertel/chords | 1f5dd50f55f21ee32b8a4d7b808687d8ed1400c2 | [
"MIT"
] | null | null | null | import functools
from gevent import spawn
from ..task import Task
| 21.416667 | 74 | 0.653696 |
767cbca3d4897fcfab64d04f9846298a51e53364 | 1,994 | py | Python | tst/drivers/uart/uart_suite.py | ivankravets/pumbaa | 2a1869cc204e3128516ed6fa9f89529aedec1702 | [
"MIT"
] | 69 | 2016-09-04T18:36:18.000Z | 2021-07-04T21:51:54.000Z | tst/drivers/uart/uart_suite.py | ivankravets/pumbaa | 2a1869cc204e3128516ed6fa9f89529aedec1702 | [
"MIT"
] | 42 | 2016-09-02T20:10:19.000Z | 2020-07-01T05:54:01.000Z | tst/drivers/uart/uart_suite.py | ivankravets/pumbaa | 2a1869cc204e3128516ed6fa9f89529aedec1702 | [
"MIT"
] | 11 | 2016-09-29T14:33:23.000Z | 2021-02-28T19:30:49.000Z | #
# @section License
#
# The MIT License (MIT)
#
# Copyright (c) 2016-2017, Erik Moqvist
#
# 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 ... | 25.240506 | 69 | 0.691575 |
767e0dd0e7903c31af372aae1bd3170fe9248c58 | 2,035 | py | Python | elasticapm/instrumentation/packages/tornado_httplib_response.py | laerteallan/apm-agent-python | 62e494fa032e69bf4999cbc0efb30b80093ad5ba | [
"BSD-3-Clause"
] | 2 | 2019-02-15T20:23:39.000Z | 2019-02-15T20:26:06.000Z | elasticapm/instrumentation/packages/tornado_httplib_response.py | laerteallan/apm-agent-python | 62e494fa032e69bf4999cbc0efb30b80093ad5ba | [
"BSD-3-Clause"
] | null | null | null | elasticapm/instrumentation/packages/tornado_httplib_response.py | laerteallan/apm-agent-python | 62e494fa032e69bf4999cbc0efb30b80093ad5ba | [
"BSD-3-Clause"
] | null | null | null | from elasticapm.instrumentation.packages.base import AbstractInstrumentedModule
from elasticapm.traces import capture_span
from elasticapm.utils import default_ports
from elasticapm.utils.compat import urlparse
| 38.396226 | 112 | 0.660934 |
76803418e7c483c10d751d87b7054156573f1939 | 586 | py | Python | src/waldur_ansible/python_management/migrations/0004_removed_virtual_env_field_from_global_requests.py | opennode/waldur-ansible | c81c5f0491be02fa9a55a6d5bf9d845750fd1ba9 | [
"MIT"
] | 1 | 2017-09-05T08:09:47.000Z | 2017-09-05T08:09:47.000Z | src/waldur_ansible/python_management/migrations/0004_removed_virtual_env_field_from_global_requests.py | opennode/waldur-ansible | c81c5f0491be02fa9a55a6d5bf9d845750fd1ba9 | [
"MIT"
] | null | null | null | src/waldur_ansible/python_management/migrations/0004_removed_virtual_env_field_from_global_requests.py | opennode/waldur-ansible | c81c5f0491be02fa9a55a6d5bf9d845750fd1ba9 | [
"MIT"
] | 3 | 2017-09-24T03:13:19.000Z | 2018-08-12T07:44:38.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.9 on 2018-03-27 14:01
from __future__ import unicode_literals
from django.db import migrations
| 24.416667 | 64 | 0.645051 |
76803f5a83658d39e862a3ea11083cca906b0016 | 3,369 | py | Python | pymain.py | Farhad-Mrkm/NCE_ICC-2022 | 998db82536c2077dbdb157aa21af8c6b84957761 | [
"MIT"
] | 1 | 2022-01-18T02:08:30.000Z | 2022-01-18T02:08:30.000Z | pymain.py | Farhad-Mrkm/NCE_ICC-2022 | 998db82536c2077dbdb157aa21af8c6b84957761 | [
"MIT"
] | null | null | null | pymain.py | Farhad-Mrkm/NCE_ICC-2022 | 998db82536c2077dbdb157aa21af8c6b84957761 | [
"MIT"
] | null | null | null | # author__Farhad_Mirkarimi-*- coding: utf-8 -*-
import os
import h5py
import glob, os
import numpy as np
import matplotlib.pyplot as plt
from numpy import mean
from numpy import std
import torch
import torch.nn as nn
from tqdm.auto import tqdm, trange
from numpy.random import default_rng
import torch.nn.functional as F... | 63.566038 | 313 | 0.688038 |
76806ed1e58231dbb9592dc36161e9c8ee832dc4 | 3,245 | py | Python | libpySat/pySatTransformPolarMotion.py | grzeskokbol/pySatTools | 7518ce670866bfebd4eb3d2f390e885d83c2e9c9 | [
"MIT"
] | null | null | null | libpySat/pySatTransformPolarMotion.py | grzeskokbol/pySatTools | 7518ce670866bfebd4eb3d2f390e885d83c2e9c9 | [
"MIT"
] | null | null | null | libpySat/pySatTransformPolarMotion.py | grzeskokbol/pySatTools | 7518ce670866bfebd4eb3d2f390e885d83c2e9c9 | [
"MIT"
] | null | null | null |
import datetime
import numpy as np
import libpySat as pySat
from astropy import _erfa as erfa
from scipy.misc import derivative
from scipy import interpolate
| 32.777778 | 93 | 0.600616 |
7683107d396e18c771d9adf914e31a75696e11b6 | 2,086 | py | Python | graphtheory/dominatingsets/tests/test_dsetus.py | mashal02/graphs-dict | 39917d8a7f3bdcd5d95f3549ca054d16ba535e90 | [
"BSD-3-Clause"
] | 36 | 2015-09-20T20:55:39.000Z | 2021-09-20T05:49:03.000Z | graphtheory/dominatingsets/tests/test_dsetus.py | mashal02/graphs-dict | 39917d8a7f3bdcd5d95f3549ca054d16ba535e90 | [
"BSD-3-Clause"
] | 6 | 2016-03-25T21:41:46.000Z | 2020-02-12T03:18:59.000Z | graphtheory/dominatingsets/tests/test_dsetus.py | mashal02/graphs-dict | 39917d8a7f3bdcd5d95f3549ca054d16ba535e90 | [
"BSD-3-Clause"
] | 9 | 2016-09-12T07:57:27.000Z | 2022-03-21T16:15:39.000Z | #!/usr/bin/python
import unittest
from graphtheory.structures.edges import Edge
from graphtheory.structures.graphs import Graph
from graphtheory.dominatingsets.dsetus import UnorderedSequentialDominatingSet
# 0 --- 1 --- 2 not bipartite (triangles are present)
# | / | |
# | / | | maximum iset: (0, 4, 2)
#... | 33.645161 | 78 | 0.626558 |
76838a7af2293c66cd15e86e536b35b9a382902f | 7,857 | py | Python | wet_chicken_discrete/baseline_policy.py | Philipp238/Safe-Policy-Improvement-Approaches-on-Discrete-Markov-Decision-Processes | d0eb7281c5151e043547d5b7379144deea0bbe03 | [
"MIT"
] | null | null | null | wet_chicken_discrete/baseline_policy.py | Philipp238/Safe-Policy-Improvement-Approaches-on-Discrete-Markov-Decision-Processes | d0eb7281c5151e043547d5b7379144deea0bbe03 | [
"MIT"
] | null | null | null | wet_chicken_discrete/baseline_policy.py | Philipp238/Safe-Policy-Improvement-Approaches-on-Discrete-Markov-Decision-Processes | d0eb7281c5151e043547d5b7379144deea0bbe03 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
| 55.330986 | 141 | 0.543846 |
768603f80762916b71f5b82d5dc5b04a5977e674 | 136 | py | Python | timeflow/__init__.py | zach-nervana/TimeFlow | c1ea2e1d2583907ab7775f189541af87f8de9d53 | [
"MIT"
] | 76 | 2016-11-22T14:09:10.000Z | 2020-09-23T19:02:19.000Z | timeflow/__init__.py | genesiscrew/TensorFlow-Predictor | d129172b064d9e73e9118ac7164eb826a1263100 | [
"MIT"
] | 1 | 2017-08-17T18:43:01.000Z | 2017-08-17T18:43:01.000Z | timeflow/__init__.py | genesiscrew/TensorFlow-Predictor | d129172b064d9e73e9118ac7164eb826a1263100 | [
"MIT"
] | 26 | 2017-03-09T02:41:07.000Z | 2021-11-17T09:46:52.000Z | import layers as layers
import placeholders as placeholders
import trainer as trainer
import features as features
import utils as utils
| 22.666667 | 35 | 0.852941 |
7687001bee9e147d41cd9ca528d4c1347da72a03 | 1,459 | py | Python | plot_graphs.py | bsciolla/merks | 500569fb1222726238c3711826ff3d8f8ee8ac28 | [
"Apache-2.0"
] | 1 | 2018-07-27T08:31:55.000Z | 2018-07-27T08:31:55.000Z | plot_graphs.py | bsciolla/merks | 500569fb1222726238c3711826ff3d8f8ee8ac28 | [
"Apache-2.0"
] | null | null | null | plot_graphs.py | bsciolla/merks | 500569fb1222726238c3711826ff3d8f8ee8ac28 | [
"Apache-2.0"
] | null | null | null |
import matplotlib.pyplot as plt
import networkx as nx
import numpy
plt.ion()
# test
| 33.930233 | 127 | 0.594243 |
76879dfbcaa68b4faac6a435eae8b80ca5c3ab47 | 2,071 | py | Python | Logistic-Regression/code.py | VaidikTrivedi/ga-learner-dsb-repo | 4e31ce32d04f57744dd01ae53a2be57d76d5cab1 | [
"MIT"
] | null | null | null | Logistic-Regression/code.py | VaidikTrivedi/ga-learner-dsb-repo | 4e31ce32d04f57744dd01ae53a2be57d76d5cab1 | [
"MIT"
] | null | null | null | Logistic-Regression/code.py | VaidikTrivedi/ga-learner-dsb-repo | 4e31ce32d04f57744dd01ae53a2be57d76d5cab1 | [
"MIT"
] | null | null | null | # --------------
import pandas as pd
from sklearn.model_selection import train_test_split
df = pd.read_csv(path)
print(df.head(5))
X = df.drop('insuranceclaim', axis=1)
#print(X.head(5))
y = df['insuranceclaim']
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=6)
print(X_t... | 21.572917 | 89 | 0.700145 |
7687b35a200e00e3a680b96e15c14d349cc8f6ec | 586 | py | Python | tests/test_sink.py | LauWien/smooth | 3d2ee96e3c2b2f9d5d805da1a920748f2dbbd538 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 5 | 2019-10-15T15:56:35.000Z | 2021-02-04T10:11:31.000Z | tests/test_sink.py | LauWien/smooth | 3d2ee96e3c2b2f9d5d805da1a920748f2dbbd538 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 121 | 2020-01-06T14:32:30.000Z | 2021-09-23T11:26:11.000Z | tests/test_sink.py | LauWien/smooth | 3d2ee96e3c2b2f9d5d805da1a920748f2dbbd538 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 6 | 2019-10-21T08:36:05.000Z | 2021-03-26T10:37:17.000Z | from smooth.components.component_sink import Sink
import oemof.solph as solph
| 26.636364 | 82 | 0.662116 |
76893a63b5463519de757a813d249bfa6abfb31f | 12,814 | py | Python | Forex/KalmanFilterPairsTrading.py | pvkraju80/Financial-Algorithms | d1847f52e38cf015c555cf789cd6627aaf1e2046 | [
"MIT"
] | 6 | 2020-12-10T07:22:22.000Z | 2022-01-23T17:57:41.000Z | Forex/KalmanFilterPairsTrading.py | pvkraju80/Financial-Algorithms | d1847f52e38cf015c555cf789cd6627aaf1e2046 | [
"MIT"
] | null | null | null | Forex/KalmanFilterPairsTrading.py | pvkraju80/Financial-Algorithms | d1847f52e38cf015c555cf789cd6627aaf1e2046 | [
"MIT"
] | 6 | 2020-12-10T07:22:38.000Z | 2022-02-23T08:10:05.000Z | # -*- coding: utf-8 -*-
"""
Created on Fri Nov 8 17:50:11 2019
@author: ArmelFabrice
"""
##### import the necessary modules and set chart style####
import numpy as np
import pandas as pd
import matplotlib as mpl
mpl.style.use('bmh')
import matplotlib.pylab as plt
import statsmodels.api as sm
from math import sqrt
i... | 38.250746 | 153 | 0.53184 |
7689a6e4d7295be853f74c7a7da78f85d2aecd55 | 1,592 | py | Python | gym/tests/webserver.py | intrig-unicamp/gym | 044be41236502ebde64427c3e1fff53bfff34aa2 | [
"Apache-2.0"
] | 8 | 2019-02-13T17:17:50.000Z | 2021-08-17T12:32:42.000Z | gym/tests/webserver.py | intrig-unicamp/gym | 044be41236502ebde64427c3e1fff53bfff34aa2 | [
"Apache-2.0"
] | 2 | 2017-09-18T03:06:29.000Z | 2019-07-30T23:59:34.000Z | gym/tests/webserver.py | intrig-unicamp/gym | 044be41236502ebde64427c3e1fff53bfff34aa2 | [
"Apache-2.0"
] | 2 | 2018-07-03T11:03:28.000Z | 2020-03-12T17:20:11.000Z | import sys
import json
import asyncio
import aiohttp
from aiohttp import web
from urllib.parse import urlparse
if __name__ == "__main__":
app = SimpleWebServer()
app.run("http://127.0.0.1:7879") | 30.037736 | 68 | 0.597362 |
768d0d745dc0784b2a3c714af9a252bf04f94f52 | 358 | py | Python | fundamentos/exer027.py | edelvandro/Python | 152685590af873bf63fcc5a29cf3528e4cc31a3e | [
"MIT"
] | 1 | 2020-04-14T14:43:59.000Z | 2020-04-14T14:43:59.000Z | fundamentos/exer027.py | edelvandro/Python | 152685590af873bf63fcc5a29cf3528e4cc31a3e | [
"MIT"
] | null | null | null | fundamentos/exer027.py | edelvandro/Python | 152685590af873bf63fcc5a29cf3528e4cc31a3e | [
"MIT"
] | null | null | null | '''
Faa um programa que leia o nome completo de uma pessoa,
mostrando em seguida o primeiro e o ltimo nome separadamente.
'''
entrada = str(input('Digite um nome completo: ')).strip()
print('Ol {}'.format(entrada))
nome = entrada.split()
print('Seu primeiro nome : {}'.format(nome[0]))
print('Seu ltimo nome : {... | 32.545455 | 66 | 0.678771 |
768ea2d8cf6d6a06597ecbe6151b681589c1a073 | 526 | py | Python | convert_to_neglog.py | yashkhem1/chemprop | ddfaf7c0d1ae0c78a3dc6a3be1071d68a7ff6544 | [
"MIT"
] | null | null | null | convert_to_neglog.py | yashkhem1/chemprop | ddfaf7c0d1ae0c78a3dc6a3be1071d68a7ff6544 | [
"MIT"
] | null | null | null | convert_to_neglog.py | yashkhem1/chemprop | ddfaf7c0d1ae0c78a3dc6a3be1071d68a7ff6544 | [
"MIT"
] | null | null | null | import csv
import numpy as np
import os
infile = "dopamine_processed.csv"
outfile = "dopamine.csv"
if os.path.exists(outfile):
os.remove(outfile)
with open(infile, 'r', newline='') as f:
i=0
reader = csv.reader(f,delimiter=',')
for row in reader:
with open(outfile, 'a', newline='') as w:
... | 25.047619 | 70 | 0.539924 |
768f6ea4edae64dc3c5e980c6abcd8369f91dd60 | 1,057 | py | Python | DummyIntermediateDevices/connectiontable_dummy_intermediate.py | fretchen/synqs_devices | ec4bb24639e9d0d4cb707e1c2a6296a47dfe9f02 | [
"MIT"
] | null | null | null | DummyIntermediateDevices/connectiontable_dummy_intermediate.py | fretchen/synqs_devices | ec4bb24639e9d0d4cb707e1c2a6296a47dfe9f02 | [
"MIT"
] | 4 | 2020-04-06T14:20:58.000Z | 2020-04-17T10:47:11.000Z | DummyIntermediateDevices/connectiontable_dummy_intermediate.py | fretchen/synqs_devices | ec4bb24639e9d0d4cb707e1c2a6296a47dfe9f02 | [
"MIT"
] | 2 | 2020-04-10T08:56:28.000Z | 2020-09-06T20:08:29.000Z | """The sample file to be run in runmanager.
This is the minimal sample that you can load from runmanager to see if your
code is working properly.
"""
from labscript import *
# from user_devices.dummy_device.labscript_devices import DummyDevice
from labscript_devices.DummyPseudoclock.labscript_devices import DummyPse... | 34.096774 | 102 | 0.811731 |
768fe188493a5880a64b1d123272dc48ba2a7f08 | 1,227 | py | Python | src/autoencoder/dataset.py | fabiobedeschi/datepalm | ae240c5a6666d5d3b3ed91095c54175e9bd171bb | [
"MIT"
] | null | null | null | src/autoencoder/dataset.py | fabiobedeschi/datepalm | ae240c5a6666d5d3b3ed91095c54175e9bd171bb | [
"MIT"
] | null | null | null | src/autoencoder/dataset.py | fabiobedeschi/datepalm | ae240c5a6666d5d3b3ed91095c54175e9bd171bb | [
"MIT"
] | null | null | null | from keras_preprocessing.image import ImageDataGenerator
from src.config import IMG_SIZE
from src.autoencoder.params import BATCH_SIZE
| 26.673913 | 96 | 0.691932 |
7691a86ea40534f4131045fa474a445f4a5556fb | 1,585 | py | Python | test/knxip_tests/hpai_test.py | iligiddi/xknx | c450d5934c8ddc608741229a7d14168013c3684c | [
"MIT"
] | 179 | 2016-12-29T00:24:47.000Z | 2022-03-11T23:46:06.000Z | test/knxip_tests/hpai_test.py | iligiddi/xknx | c450d5934c8ddc608741229a7d14168013c3684c | [
"MIT"
] | 820 | 2016-12-25T22:45:12.000Z | 2022-03-31T10:18:25.000Z | test/knxip_tests/hpai_test.py | magenbrot/xknx | dc012c8b53606b591d4ba3c006700576149c268e | [
"MIT"
] | 111 | 2016-12-30T00:02:13.000Z | 2022-03-20T15:18:33.000Z | """Unit test for KNX/IP HPAI objects."""
import pytest
from xknx.exceptions import ConversionError, CouldNotParseKNXIP
from xknx.knxip import HPAI
| 35.222222 | 75 | 0.628391 |
7691b87c25055ca65fe6a4859ce2615cd80362d1 | 815 | py | Python | cloudmesh/sign/api.py | cloudmesh/cloudmesh.sign | 84ddaf3b9f29e62f87db35d5a06357a51906db12 | [
"Apache-2.0"
] | null | null | null | cloudmesh/sign/api.py | cloudmesh/cloudmesh.sign | 84ddaf3b9f29e62f87db35d5a06357a51906db12 | [
"Apache-2.0"
] | 10 | 2017-04-30T00:43:05.000Z | 2017-04-30T13:19:27.000Z | cloudmesh/sign/api.py | cloudmesh/extstreet | 84ddaf3b9f29e62f87db35d5a06357a51906db12 | [
"Apache-2.0"
] | null | null | null | from __future__ import print_function
#import cv2
| 29.107143 | 84 | 0.623313 |
76958da8ea27dd73e495fa167896e0a6d0b9ab84 | 2,457 | py | Python | profrage/generate/utils.py | federicoVS/ProFraGe | d8a653efae80af51e9a99f01268815c99fe62f84 | [
"MIT"
] | null | null | null | profrage/generate/utils.py | federicoVS/ProFraGe | d8a653efae80af51e9a99f01268815c99fe62f84 | [
"MIT"
] | null | null | null | profrage/generate/utils.py | federicoVS/ProFraGe | d8a653efae80af51e9a99f01268815c99fe62f84 | [
"MIT"
] | null | null | null | import torch
def reparametrize(mu, log_var, device):
"""
Reparametrize based on input mean and log variance
Parameters
----------
mu : torch.tensor
The mean.
log_var : torch.tensor
The log variance.
device : str
The device on which to put the data.
Returns
... | 23.4 | 86 | 0.559626 |
7696fdf8e67e695e5aa8e8399f3b07acfb6c071a | 9,923 | py | Python | neighbor_app/views.py | LawiOtieno/neighborhood-alert | 883baa5a636129ac430631bd45b59a613f30bc8f | [
"MIT"
] | null | null | null | neighbor_app/views.py | LawiOtieno/neighborhood-alert | 883baa5a636129ac430631bd45b59a613f30bc8f | [
"MIT"
] | null | null | null | neighbor_app/views.py | LawiOtieno/neighborhood-alert | 883baa5a636129ac430631bd45b59a613f30bc8f | [
"MIT"
] | null | null | null | from django.shortcuts import render,redirect,get_object_or_404,HttpResponseRedirect
from django.contrib.auth.decorators import login_required
from django.contrib.auth import login, authenticate
from .forms import *
from .models import NeighborHood,Profile,Post,Business
from django.contrib.sites.shortcuts import get_cu... | 35.439286 | 149 | 0.75713 |
7697f0bf45c2a2e873665b3ec989e0158b6b5db8 | 8,233 | py | Python | declare_qtquick/application.py | likianta/declare-qtquick | 93c2ce49d841ccdeb0272085c5f731139927f0d7 | [
"MIT"
] | 3 | 2021-11-02T03:45:27.000Z | 2022-03-27T05:33:36.000Z | declare_qtquick/application.py | likianta/declare-qtquick | 93c2ce49d841ccdeb0272085c5f731139927f0d7 | [
"MIT"
] | null | null | null | declare_qtquick/application.py | likianta/declare-qtquick | 93c2ce49d841ccdeb0272085c5f731139927f0d7 | [
"MIT"
] | null | null | null | import os.path as xpath
from PySide6.QtCore import QObject
from PySide6.QtQml import QQmlApplicationEngine
from PySide6.QtQml import QQmlContext
from PySide6.QtWidgets import QApplication
from .typehint import Dict
from .typehint import TPath
app = _Application()
| 37.593607 | 80 | 0.54986 |
76996d0c6fee1f7994689e5e99ec874d21d739eb | 1,259 | py | Python | src/main.py | mdsanima-dev/mdsanima-rt-go | 6032efb8f9fd3dfeb1640fba47b0b8b7759d4572 | [
"Apache-2.0"
] | 2 | 2021-12-09T10:22:27.000Z | 2022-02-16T19:23:46.000Z | src/main.py | mdsanima-dev/mdsanima-rt-go | 6032efb8f9fd3dfeb1640fba47b0b8b7759d4572 | [
"Apache-2.0"
] | 60 | 2021-08-13T17:24:35.000Z | 2021-08-25T16:25:59.000Z | src/main.py | mdsanima-dev/mdsanima-rt-go | 6032efb8f9fd3dfeb1640fba47b0b8b7759d4572 | [
"Apache-2.0"
] | 1 | 2021-08-20T00:48:28.000Z | 2021-08-20T00:48:28.000Z | """
Main application MDSANIMA RT GO
"""
import kivy
from __init__ import __version__
kivy.require('2.0.0')
from kivy.uix.screenmanager import ScreenManager
from kivymd.app import MDApp
from plyer import notification
from __init__ import resource_path
from config.image import get_images
from config.setting import ... | 24.686275 | 62 | 0.68467 |
769a048a0a36fac60d8155d390abc6c865fbbb32 | 1,188 | py | Python | puzzler/puzzles/polysticks123.py | tiwo/puzzler | 7ad3d9a792f0635f7ec59ffa85fb46b54fd77a7e | [
"Intel"
] | null | null | null | puzzler/puzzles/polysticks123.py | tiwo/puzzler | 7ad3d9a792f0635f7ec59ffa85fb46b54fd77a7e | [
"Intel"
] | null | null | null | puzzler/puzzles/polysticks123.py | tiwo/puzzler | 7ad3d9a792f0635f7ec59ffa85fb46b54fd77a7e | [
"Intel"
] | 1 | 2022-01-02T16:54:14.000Z | 2022-01-02T16:54:14.000Z | #!/usr/bin/env python
# $Id$
# Author: David Goodger <goodger@python.org>
# Copyright: (C) 1998-2015 by David J. Goodger
# License: GPL 2 (see __init__.py)
"""
Concrete polystick (orders 1 through 3) puzzles.
"""
from puzzler import coordsys
from puzzler.puzzles.polysticks import Polysticks123
| 21.6 | 73 | 0.590067 |
769acd1960ba73c348d3e0c4296d92a024bce7eb | 2,076 | py | Python | src/scoring/split_by_target.py | annacarbery/VS_ECFP | 20d464ecf3c0270957885b499748d1e2231d7ae8 | [
"MIT"
] | null | null | null | src/scoring/split_by_target.py | annacarbery/VS_ECFP | 20d464ecf3c0270957885b499748d1e2231d7ae8 | [
"MIT"
] | null | null | null | src/scoring/split_by_target.py | annacarbery/VS_ECFP | 20d464ecf3c0270957885b499748d1e2231d7ae8 | [
"MIT"
] | null | null | null | from sklearn import tree
import os
import random
import numpy as np
import json
DATA_DIR = '/Users/tyt15771/Documents/VS_ECFP/data/input/'
data_train = []
class_train = []
data_test = []
class_test = []
hits = os.listdir(f'{DATA_DIR}/hit')
random.shuffle(hits)
miss = os.listdir(f'{DATA_DIR}/miss')
random.shuffle(m... | 34.032787 | 115 | 0.707611 |
769ada13f8c3423b8e779440f35e0b945f5e4443 | 989 | py | Python | AsRoot/app/views.py | erin-hughes/qradar-sample-apps | 13e05e37dbd2c2cbf52220fbd8508b35c4091523 | [
"Apache-2.0"
] | 8 | 2020-09-09T10:11:28.000Z | 2021-11-21T12:56:35.000Z | AsRoot/app/views.py | erin-hughes/qradar-sample-apps | 13e05e37dbd2c2cbf52220fbd8508b35c4091523 | [
"Apache-2.0"
] | 2 | 2021-03-04T13:25:29.000Z | 2022-01-10T13:33:53.000Z | AsRoot/app/views.py | erin-hughes/qradar-sample-apps | 13e05e37dbd2c2cbf52220fbd8508b35c4091523 | [
"Apache-2.0"
] | 13 | 2020-09-18T12:33:40.000Z | 2022-03-04T12:16:08.000Z | # Copyright 2020 IBM Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writi... | 32.966667 | 74 | 0.718908 |
769cd151bfff35e599b6b4d6a430fabc5c061bb9 | 56 | py | Python | web/code/mmg/jobtrak/util/__init__.py | 559Labs/JobTrak | 5b118248e9b6e62f479a335b5a23b7062b6f2368 | [
"Apache-2.0"
] | 1 | 2015-01-27T00:41:31.000Z | 2015-01-27T00:41:31.000Z | web/code/mmg/jobtrak/util/__init__.py | andrewmarconi/JobTrak | 5b118248e9b6e62f479a335b5a23b7062b6f2368 | [
"Apache-2.0"
] | 118 | 2015-01-26T14:02:52.000Z | 2015-01-29T18:35:07.000Z | web/code/mmg/jobtrak/util/__init__.py | MarconiMediaGroup/JobTrak | 5b118248e9b6e62f479a335b5a23b7062b6f2368 | [
"Apache-2.0"
] | null | null | null | default_app_config = 'mmg.jobtrak.util.apps.LocalConfig' | 56 | 56 | 0.839286 |
769e263d23fa479291700d7aa03a51789709cb77 | 2,471 | py | Python | timemachines/skaters/nproph/nprophetiskaterfactory.py | iklasky/timemachines | 1820fa9453d31d4daaeff75274a935c7455febe3 | [
"MIT"
] | 253 | 2021-01-08T17:33:30.000Z | 2022-03-21T17:32:36.000Z | timemachines/skaters/nproph/nprophetiskaterfactory.py | iklasky/timemachines | 1820fa9453d31d4daaeff75274a935c7455febe3 | [
"MIT"
] | 65 | 2021-01-20T16:43:35.000Z | 2022-03-30T19:07:22.000Z | timemachines/skaters/nproph/nprophetiskaterfactory.py | iklasky/timemachines | 1820fa9453d31d4daaeff75274a935c7455febe3 | [
"MIT"
] | 28 | 2021-02-04T14:58:30.000Z | 2022-01-17T04:35:17.000Z | from timemachines.skaters.nproph.nprophetinclusion import using_neuralprophet, NeuralProphet
if using_neuralprophet:
import pandas as pd
from typing import List, Tuple, Any
from timemachines.skatertools.utilities.conventions import wrap
from timemachines.skaters.nproph.nprophparams import NPROPHET_MODEL... | 43.350877 | 124 | 0.630514 |
769ea6168b2afa78cac264bb8c29d434c439de34 | 1,165 | py | Python | cride/teachers/serializers/skills.py | alexhernandez-git/cride-frontend | 3c7e7b2ab374efb33b798d959e473a943b6df03c | [
"MIT"
] | null | null | null | cride/teachers/serializers/skills.py | alexhernandez-git/cride-frontend | 3c7e7b2ab374efb33b798d959e473a943b6df03c | [
"MIT"
] | 11 | 2020-02-25T07:34:21.000Z | 2022-01-13T02:15:57.000Z | cride/teachers/serializers/skills.py | alexhernandez-git/cride-frontend | 3c7e7b2ab374efb33b798d959e473a943b6df03c | [
"MIT"
] | null | null | null | """Teacher serializer."""
# Django REST Framework
from rest_framework import serializers
# Models
from cride.teachers.models import Skill
| 27.738095 | 109 | 0.628326 |
769f8f43c009cc26df35b8f606d1b914ff167485 | 670 | py | Python | ibt/context.py | rcook/ibt | 6ab5bda2067ef053874938a4ec445ea0e54b30f2 | [
"MIT"
] | null | null | null | ibt/context.py | rcook/ibt | 6ab5bda2067ef053874938a4ec445ea0e54b30f2 | [
"MIT"
] | 13 | 2018-08-08T15:40:54.000Z | 2021-06-22T21:00:36.000Z | ibt/context.py | rcook/ibt | 6ab5bda2067ef053874938a4ec445ea0e54b30f2 | [
"MIT"
] | null | null | null | ###############################################################################
#
# IBT: Isolated Build Tool
# Copyright (C) 2016, Richard Cook. All rights reserved.
#
# Simple wrappers around Docker etc. for fully isolated build environments
#
###########################################################################... | 29.130435 | 79 | 0.568657 |
76a1d4ac05ac140e8cf845cb7dc3c6f309ba9c87 | 5,178 | py | Python | python/cogs/helpall.py | HexF/felix | e7fc4027de8437af222c936c17a30d0ad4e887b3 | [
"MIT"
] | null | null | null | python/cogs/helpall.py | HexF/felix | e7fc4027de8437af222c936c17a30d0ad4e887b3 | [
"MIT"
] | null | null | null | python/cogs/helpall.py | HexF/felix | e7fc4027de8437af222c936c17a30d0ad4e887b3 | [
"MIT"
] | null | null | null | """This is a cog for a discord.py bot.
It hides the help command and adds these commands:
helpall show all commands (including all hidden ones)
The commands will output to the current channel or to a dm channel
according to the pm_help kwarg of the bot.
Only users that have an admin role can use the ... | 33.623377 | 79 | 0.587099 |
76a3321595c138692bf6ba78f4463d4296950073 | 11,200 | py | Python | helpers.py | SacaSoh/AIPND---Project-2 | 0d8227fa3fa2e7ab9c3c34bb0fd88ab95c3079df | [
"MIT"
] | null | null | null | helpers.py | SacaSoh/AIPND---Project-2 | 0d8227fa3fa2e7ab9c3c34bb0fd88ab95c3079df | [
"MIT"
] | null | null | null | helpers.py | SacaSoh/AIPND---Project-2 | 0d8227fa3fa2e7ab9c3c34bb0fd88ab95c3079df | [
"MIT"
] | null | null | null | # PROGRAMMER: Diego da Costa Oliveira
# DATE CREATED: Mar, 23, 2019.
# REVISED DATE:
# PURPOSE: Helpers for training a CNN and to predict the class for an input image
import argparse
import numpy as np
import torch
import json
from torch import nn
from torch import optim
from torchvision import datasets, transforms... | 36.842105 | 114 | 0.596071 |
76a35f5239c3e344d44f45b914edad790aa2a4e3 | 949 | py | Python | test_single.py | hkchengrex/CharTrans-GAN | 4a589e383eb49dad7a033458aa70eeb207b7de74 | [
"Apache-2.0"
] | 2 | 2019-08-17T12:48:52.000Z | 2019-12-20T07:40:10.000Z | test_single.py | hkchengrex/CharTrans-GAN | 4a589e383eb49dad7a033458aa70eeb207b7de74 | [
"Apache-2.0"
] | 1 | 2018-12-19T12:21:37.000Z | 2018-12-19T13:59:57.000Z | test_single.py | hkchengrex/CharTrans-GAN | 4a589e383eb49dad7a033458aa70eeb207b7de74 | [
"Apache-2.0"
] | 1 | 2018-11-04T11:04:21.000Z | 2018-11-04T11:04:21.000Z | from net import Net
from font_loader import FontDataset
import torch
import torchvision
import torchvision.transforms as transforms
font_root = './data/test1/'
std_font = './data/standard/'
font_size = 52
image_size = 48
numTransform = 5
numRef = 5
char_list_path = './character_set/character_set_1798'
# Load the s... | 26.361111 | 109 | 0.737619 |
76a3aadc66cb9b6a3ffc18d0b5d0424cb3f1bf19 | 1,435 | py | Python | tests/package_path_test.py | radiasoft/sirepo | db3d1737bab7a84d39d456c0e8913c88deff3c31 | [
"Apache-2.0"
] | 49 | 2015-07-29T14:11:29.000Z | 2021-12-10T15:24:26.000Z | tests/package_path_test.py | radiasoft/sirepo | db3d1737bab7a84d39d456c0e8913c88deff3c31 | [
"Apache-2.0"
] | 3,732 | 2015-08-03T22:07:26.000Z | 2022-03-31T22:48:33.000Z | tests/package_path_test.py | radiasoft/sirepo | db3d1737bab7a84d39d456c0e8913c88deff3c31 | [
"Apache-2.0"
] | 28 | 2015-11-20T16:23:46.000Z | 2021-09-20T07:22:48.000Z | # -*- coding: utf-8 -*-
u"""Using a sim type that lives in a package outside of sirepo.
:copyright: Copyright (c) 2021 RadiaSoft LLC. All Rights Reserved.
:license: http://www.apache.org/licenses/LICENSE-2.0.html
"""
from __future__ import absolute_import, division, print_function
import contextlib
import pytest
| 28.137255 | 81 | 0.681533 |
76a644c9158839039d51c335089af8172474435d | 35,948 | py | Python | fanficdownloader/story.py | rodrigonz/rodrigodeoliveiracosta-ffdown | e28e20232e9cd6cef84aa9e830ed8de7dbb208ae | [
"Apache-2.0"
] | null | null | null | fanficdownloader/story.py | rodrigonz/rodrigodeoliveiracosta-ffdown | e28e20232e9cd6cef84aa9e830ed8de7dbb208ae | [
"Apache-2.0"
] | null | null | null | fanficdownloader/story.py | rodrigonz/rodrigodeoliveiracosta-ffdown | e28e20232e9cd6cef84aa9e830ed8de7dbb208ae | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2011 Fanficdownloader team
#
# 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 require... | 41.510393 | 169 | 0.537193 |
76a66cd1b58b111bec10cfd3ff837789c2aaac34 | 336 | py | Python | 2021/07/2021-07-2 The Treachery of Whales.py | dpustovarov/Advent-of-Code | 3a08944c26ca6428ecca98aed96777d70038b6ef | [
"MIT"
] | null | null | null | 2021/07/2021-07-2 The Treachery of Whales.py | dpustovarov/Advent-of-Code | 3a08944c26ca6428ecca98aed96777d70038b6ef | [
"MIT"
] | null | null | null | 2021/07/2021-07-2 The Treachery of Whales.py | dpustovarov/Advent-of-Code | 3a08944c26ca6428ecca98aed96777d70038b6ef | [
"MIT"
] | null | null | null | import sys, statistics
print(solution([int(n) for n in sys.stdin.read().split(',')]))
| 37.333333 | 100 | 0.5625 |
76a8df49a9b9a1d0460ba09a5a23cc25330a7581 | 213 | py | Python | app/__init__.py | PushyZqin/flask-restful-plugin | 7a142de96500910f5f7648d5edf8986afaa72b70 | [
"MIT"
] | 2 | 2018-11-28T13:49:18.000Z | 2018-11-29T11:13:40.000Z | app/__init__.py | PushyZqin/flask-restful-plugin | 7a142de96500910f5f7648d5edf8986afaa72b70 | [
"MIT"
] | null | null | null | app/__init__.py | PushyZqin/flask-restful-plugin | 7a142de96500910f5f7648d5edf8986afaa72b70 | [
"MIT"
] | null | null | null | #encoding:utf-8
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
import config
app = Flask(__name__)
app.config.from_object(config)
db = SQLAlchemy(app)
from app import req_demo, res_demo, models | 19.363636 | 42 | 0.807512 |
76a95224312c942a2d4fbf9434826429874c5283 | 870 | py | Python | scripts/storage.py | ibigbug/mixin-bot | 73b2e6a83cf4bbb4e30dfc05cf4463dc616b871b | [
"Unlicense"
] | null | null | null | scripts/storage.py | ibigbug/mixin-bot | 73b2e6a83cf4bbb4e30dfc05cf4463dc616b871b | [
"Unlicense"
] | 1 | 2021-06-01T23:35:10.000Z | 2021-06-01T23:35:10.000Z | scripts/storage.py | ibigbug/mixin-bot | 73b2e6a83cf4bbb4e30dfc05cf4463dc616b871b | [
"Unlicense"
] | null | null | null | import os
import sys
from azure.storage.blob import BlockBlobService
from azure.common import AzureMissingResourceHttpError
account_name = os.environ.get('azure_storage_account_name')
account_key = os.environ.get('azure_storage_account_key')
container_name = os.environ.get('azure_storage_container_name')
block_blob_s... | 33.461538 | 64 | 0.749425 |
76adb21c8f58a8a73d261c808726722aa9b2c501 | 20,829 | py | Python | t5/models/hf_model.py | thomasw21/text-to-text-transfer-transformer | 6b7bcc8fe39ae772682bc7c72c93dec1e9120a80 | [
"Apache-2.0"
] | 1 | 2022-01-17T15:55:24.000Z | 2022-01-17T15:55:24.000Z | t5/models/hf_model.py | thomasw21/text-to-text-transfer-transformer | 6b7bcc8fe39ae772682bc7c72c93dec1e9120a80 | [
"Apache-2.0"
] | null | null | null | t5/models/hf_model.py | thomasw21/text-to-text-transfer-transformer | 6b7bcc8fe39ae772682bc7c72c93dec1e9120a80 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 The T5 Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writi... | 36.414336 | 86 | 0.69408 |
76adf99c53be9fdd9abcf7404d34ffbbdbf4e9ae | 1,422 | py | Python | api-reference-examples/python/pytx/pytx/threat_descriptor.py | b-bold/ThreatExchange | 6f8d0dc803faccf576c9398569bb52d54a4f9a87 | [
"BSD-3-Clause"
] | 997 | 2015-03-13T18:04:03.000Z | 2022-03-30T12:09:10.000Z | api-reference-examples/python/pytx/pytx/threat_descriptor.py | b-bold/ThreatExchange | 6f8d0dc803faccf576c9398569bb52d54a4f9a87 | [
"BSD-3-Clause"
] | 444 | 2015-03-26T17:28:49.000Z | 2022-03-28T19:34:05.000Z | api-reference-examples/python/pytx/pytx/threat_descriptor.py | b-bold/ThreatExchange | 6f8d0dc803faccf576c9398569bb52d54a4f9a87 | [
"BSD-3-Clause"
] | 294 | 2015-03-13T22:19:43.000Z | 2022-03-30T08:42:45.000Z | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from .common import Common
from .vocabulary import ThreatDescriptor as td
from .vocabulary import ThreatExchange as t
| 20.911765 | 70 | 0.553446 |
76ae6ebfed82ce4d1cbcefc8ce95998102452884 | 2,766 | py | Python | why_how_what/multiarmed_bandit.py | chandrabsingh/learnings | a3f507bbbf46582ce5a64991983dfc0759db0af5 | [
"MIT"
] | null | null | null | why_how_what/multiarmed_bandit.py | chandrabsingh/learnings | a3f507bbbf46582ce5a64991983dfc0759db0af5 | [
"MIT"
] | null | null | null | why_how_what/multiarmed_bandit.py | chandrabsingh/learnings | a3f507bbbf46582ce5a64991983dfc0759db0af5 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
from tqdm import tqdm
# def main():
epsilons = [0.1] # Define list of epsilons=exploration
leverCount = 10 # Define number of levers
runs = 2000
steps = 1000
probs = [0.10, 0.50, 0.60, 0.80, 0.10,
0.25, 0.60, 0.45, 0.75, 0.65]
# Define list of arm probabiliti... | 36.88 | 118 | 0.667751 |
76af59b924c1dbc7c80b888dfc866f25f3b80a37 | 1,293 | py | Python | algorithms/python/leetcode/tests/test_NonnegativeIntegerswithoutConsecutiveOnes.py | ytjia/coding-pratice | 6ddba1f3b86c40639a8203cbc3373d52301c1b1f | [
"MIT"
] | null | null | null | algorithms/python/leetcode/tests/test_NonnegativeIntegerswithoutConsecutiveOnes.py | ytjia/coding-pratice | 6ddba1f3b86c40639a8203cbc3373d52301c1b1f | [
"MIT"
] | null | null | null | algorithms/python/leetcode/tests/test_NonnegativeIntegerswithoutConsecutiveOnes.py | ytjia/coding-pratice | 6ddba1f3b86c40639a8203cbc3373d52301c1b1f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Authors: Y. Jia <ytjia.zju@gmail.com>
import unittest
from .. import NonnegativeIntegerswithoutConsecutiveOnes
if __name__ == '__main__':
unittest.main()
| 38.029412 | 77 | 0.70843 |
76af968ed5c491f4545b0402bd5a825b42b19aab | 1,273 | py | Python | tierpsy/debugging/check_roi_flow.py | mgh17/tierpsy-tracker | a18c06aa80a5fb22fd51563d82c639b520742777 | [
"MIT"
] | 9 | 2021-01-11T10:49:21.000Z | 2022-02-28T15:48:00.000Z | tierpsy/debugging/check_roi_flow.py | mgh17/tierpsy-tracker | a18c06aa80a5fb22fd51563d82c639b520742777 | [
"MIT"
] | 18 | 2020-05-08T15:43:08.000Z | 2022-03-23T10:19:24.000Z | tierpsy/debugging/check_roi_flow.py | mgh17/tierpsy-tracker | a18c06aa80a5fb22fd51563d82c639b520742777 | [
"MIT"
] | 10 | 2019-12-18T12:10:12.000Z | 2022-01-05T09:12:47.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Dec 17 17:59:36 2018
@author: avelinojaver
"""
import numpy as np
import cv2
from functools import partial
import json
from pathlib import Path
import pandas as pd
from tierpsy.analysis.ske_create.helperIterROI import generateMoviesROI
mask_file = ... | 28.931818 | 112 | 0.660644 |
76b0032871e9f4df5fee3742b9f1d69889d52346 | 7,716 | py | Python | models/SFD_net.py | LeileiCao/SFD_Pytorch | 384b0cd42485946371812f4905e4c9fd3c5d4e65 | [
"MIT"
] | 1 | 2020-05-03T02:46:42.000Z | 2020-05-03T02:46:42.000Z | models/SFD_net.py | LeileiCao/SFD_Pytorch | 384b0cd42485946371812f4905e4c9fd3c5d4e65 | [
"MIT"
] | 1 | 2019-03-30T04:04:39.000Z | 2019-03-30T04:04:39.000Z | models/SFD_net.py | LeileiCao/SFD_Pytorch | 384b0cd42485946371812f4905e4c9fd3c5d4e65 | [
"MIT"
] | 3 | 2019-02-22T07:00:53.000Z | 2021-01-13T10:19:59.000Z | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from layers import *
import torchvision.transforms as transforms
import torchvision.models as models
import torch.backends.cudnn as cudnn
import torch.nn.init as init
import os
# This function is derived from torc... | 35.394495 | 94 | 0.581519 |
76b14bd5cac8768daf91adb9dc2873199856ee7c | 2,572 | py | Python | PP4E/Examples/PP4E/Integrate/Embed/prioredition-2x/Inventory/WithDbase/inventory.py | BeacherHou/Python-_Markdown- | 015d79a02d32f49395b80ca10919b3a09b72c4df | [
"MIT"
] | null | null | null | PP4E/Examples/PP4E/Integrate/Embed/prioredition-2x/Inventory/WithDbase/inventory.py | BeacherHou/Python-_Markdown- | 015d79a02d32f49395b80ca10919b3a09b72c4df | [
"MIT"
] | null | null | null | PP4E/Examples/PP4E/Integrate/Embed/prioredition-2x/Inventory/WithDbase/inventory.py | BeacherHou/Python-_Markdown- | 015d79a02d32f49395b80ca10919b3a09b72c4df | [
"MIT"
] | null | null | null | ############################################################################
# implement inventory/buyer databases as persistent shelve/pickle files;
# since the validations are already coded to use a function call interface,
# we just map those calls back to the shelve or pickled object here--no
# need to change ... | 35.232877 | 77 | 0.64619 |
76b2c1eb2360e1542020b3c834b8848005058b6f | 715 | py | Python | services/worker/main.py | mrgrassho/geo-diff-2 | 4b89d36e247d389871d4fcd3f4df5c9a0203750f | [
"MIT"
] | null | null | null | services/worker/main.py | mrgrassho/geo-diff-2 | 4b89d36e247d389871d4fcd3f4df5c9a0203750f | [
"MIT"
] | 11 | 2020-07-08T23:27:10.000Z | 2022-02-27T07:45:57.000Z | services/worker/main.py | mrgrassho/geo-diff-2 | 4b89d36e247d389871d4fcd3f4df5c9a0203750f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from geodiff_worker import GeoDiffWorker
from os import environ
from os.path import join, dirname
from dotenv import load_dotenv
dotenv_path = join(dirname(__file__), '.env')
load_dotenv(dotenv_path)
def main():
"""Main entry point to the program."""
# Get the ... | 26.481481 | 91 | 0.717483 |
76b3074992a122c8788429826bad0b8169c1290c | 4,922 | py | Python | tasks/tv_raffle_handler.py | fakegit/bili2.0 | 6086588a59aba1b19dae4ab1eae59073d884becd | [
"MIT"
] | null | null | null | tasks/tv_raffle_handler.py | fakegit/bili2.0 | 6086588a59aba1b19dae4ab1eae59073d884becd | [
"MIT"
] | null | null | null | tasks/tv_raffle_handler.py | fakegit/bili2.0 | 6086588a59aba1b19dae4ab1eae59073d884becd | [
"MIT"
] | 1 | 2019-07-25T18:05:11.000Z | 2019-07-25T18:05:11.000Z | import asyncio
import random
import bili_statistics
from reqs.tv_raffle_handler import TvRaffleHandlerReq
from tasks.utils import UtilsTask
import utils
from .task_func_decorator import normal
from .base_class import ForcedTask
| 43.557522 | 194 | 0.596709 |
76b51edc5f6025c886db8fed031828f33d4df24f | 265 | py | Python | openstack/regression/utils/wait.py | viduship/ceph-qe-scripts | 886619fa6600c24cbf989d65868951b9c3decd72 | [
"MIT"
] | 6 | 2019-04-12T17:45:44.000Z | 2021-09-14T19:59:05.000Z | openstack/regression/utils/wait.py | viduship/ceph-qe-scripts | 886619fa6600c24cbf989d65868951b9c3decd72 | [
"MIT"
] | 111 | 2019-12-10T10:41:08.000Z | 2022-03-31T11:42:30.000Z | openstack/regression/utils/wait.py | viduship/ceph-qe-scripts | 886619fa6600c24cbf989d65868951b9c3decd72 | [
"MIT"
] | 23 | 2019-05-30T19:48:25.000Z | 2022-03-24T17:07:19.000Z | import time
| 20.384615 | 66 | 0.584906 |
76b63b1bac33101e8507f58ebdfd16790912e32c | 20,894 | py | Python | cdci_data_analysis/analysis/parameters.py | andreatramacere/cdci_data_analysis | 8ae34a7252d6baf011a3b99fbe4f6e624b63d7df | [
"MIT"
] | null | null | null | cdci_data_analysis/analysis/parameters.py | andreatramacere/cdci_data_analysis | 8ae34a7252d6baf011a3b99fbe4f6e624b63d7df | [
"MIT"
] | null | null | null | cdci_data_analysis/analysis/parameters.py | andreatramacere/cdci_data_analysis | 8ae34a7252d6baf011a3b99fbe4f6e624b63d7df | [
"MIT"
] | null | null | null | """
Overview
--------
general info about this module
Classes and Inheritance Structure
----------------------------------------------
.. inheritance-diagram::
Summary
---------
.. autosummary::
list of the module you want
Module API
----------
"""
from __future__ import absolute_import, division, print... | 27.348168 | 128 | 0.542117 |
76b7c7406ad873b2c3844218bc4fda711535e033 | 3,552 | py | Python | utils/utils.py | lindsey98/dml_cross_entropy | 4312cb295e972abda7b0e2bdadecf1965c5d7ed5 | [
"BSD-3-Clause"
] | null | null | null | utils/utils.py | lindsey98/dml_cross_entropy | 4312cb295e972abda7b0e2bdadecf1965c5d7ed5 | [
"BSD-3-Clause"
] | null | null | null | utils/utils.py | lindsey98/dml_cross_entropy | 4312cb295e972abda7b0e2bdadecf1965c5d7ed5 | [
"BSD-3-Clause"
] | null | null | null | from collections import OrderedDict
import torch
import torch.nn as nn
import torch.nn.functional as F
def state_dict_to_cpu(state_dict: OrderedDict):
"""Moves a state_dict to cpu and removes the module. added by DataParallel.
Parameters
----------
state_dict : OrderedDict
State_dict containi... | 39.032967 | 122 | 0.628097 |
76b9ae265a175f4dd03817b9470d4b4760c676f3 | 526 | py | Python | examples/tinytag/fuzzbp.py | MJ-SEO/py_fuzz | 789fbfea21bf644ba4d00554fe4141694b0a190a | [
"Apache-2.0"
] | null | null | null | examples/tinytag/fuzzbp.py | MJ-SEO/py_fuzz | 789fbfea21bf644ba4d00554fe4141694b0a190a | [
"Apache-2.0"
] | null | null | null | examples/tinytag/fuzzbp.py | MJ-SEO/py_fuzz | 789fbfea21bf644ba4d00554fe4141694b0a190a | [
"Apache-2.0"
] | null | null | null | from pythonfuzz.main import PythonFuzz
from tinytag import TinyTag
import tempfile
import random
if __name__ == '__main__':
fuzz()
| 15.939394 | 56 | 0.6673 |
76bb0cabecd4a5466d01422f9d7179dffe4f8c9a | 5,653 | py | Python | r2d2.py | alicemirror/R2-D2-ArcadeLive | 24a90edcadeed7d78b1f84f329211d5e5ba87fd8 | [
"MIT"
] | 1 | 2020-04-09T18:54:55.000Z | 2020-04-09T18:54:55.000Z | r2d2.py | alicemirror/R2-D2-ArcadeLive | 24a90edcadeed7d78b1f84f329211d5e5ba87fd8 | [
"MIT"
] | null | null | null | r2d2.py | alicemirror/R2-D2-ArcadeLive | 24a90edcadeed7d78b1f84f329211d5e5ba87fd8 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# R2D2 Python source code to control the Sphero R2D2 droic
# Author: Enrico Miglino
# Version: 1.0
# Date: Sept, 2019
# License: LGPL 3.0
#
# Based on the reverse engineering work
# "Scripting Sphero's Star Wars Droids"
# by ~bbraun.
#
# Thanks to Arnaud Coolsaet who inspired the live chroma key
# met... | 31.232044 | 130 | 0.711834 |
76bbab12b9082806b48585d80d0ee5d93f4121db | 882 | py | Python | week9_ML_svm_poly_norm/day2_svm_poly/theory/visualize_boundary.py | Clapiniella/data_science_nov_2020 | 7f98e626328169e266b0ee980f457b8402999647 | [
"Apache-2.0"
] | 1 | 2021-01-18T13:15:08.000Z | 2021-01-18T13:15:08.000Z | week9_ML_svm_poly_norm/day2_svm_poly/theory/visualize_boundary.py | Clapiniella/data_science_nov_2020 | 7f98e626328169e266b0ee980f457b8402999647 | [
"Apache-2.0"
] | null | null | null | week9_ML_svm_poly_norm/day2_svm_poly/theory/visualize_boundary.py | Clapiniella/data_science_nov_2020 | 7f98e626328169e266b0ee980f457b8402999647 | [
"Apache-2.0"
] | 1 | 2021-05-24T21:49:24.000Z | 2021-05-24T21:49:24.000Z | import numpy as np
import matplotlib.pyplot as plt
from plot_data import plot_data
def visualize_boundary(X, y, clf):
"""
Plots a linear decision boundary learned by the SVM.
Parameters
----------
X : ndarray, shape (n_samples, n_features)
Samples, where n_samples is the number of sample... | 29.4 | 99 | 0.603175 |
76bbc2598c25fd191128e41eb9c547440be4a5b9 | 86 | py | Python | src/integ_test_resources/common/platforms.py | kaichengyan/amplify-ci-support | 5a56acd7fa8fb37ec7db975e080be6ba838dcec7 | [
"Apache-2.0"
] | 9 | 2020-06-09T21:59:02.000Z | 2021-06-27T07:15:18.000Z | src/integ_test_resources/common/platforms.py | kaichengyan/amplify-ci-support | 5a56acd7fa8fb37ec7db975e080be6ba838dcec7 | [
"Apache-2.0"
] | 27 | 2020-05-06T13:48:06.000Z | 2022-02-14T10:10:33.000Z | src/integ_test_resources/common/platforms.py | kaichengyan/amplify-ci-support | 5a56acd7fa8fb37ec7db975e080be6ba838dcec7 | [
"Apache-2.0"
] | 12 | 2020-05-15T11:51:41.000Z | 2022-02-11T18:07:15.000Z | from enum import Enum
| 12.285714 | 23 | 0.639535 |
76bd0ea831e87f7129cc79c1729569f2c699f4dd | 1,608 | py | Python | pattern7-tree-breadth-first-search/7. Level Order Successor (easy).py | dopiwoo/Grokking-the-Coding-Interview | 78b2bacf9d761b460ac78882bac42df7465feec9 | [
"MIT"
] | null | null | null | pattern7-tree-breadth-first-search/7. Level Order Successor (easy).py | dopiwoo/Grokking-the-Coding-Interview | 78b2bacf9d761b460ac78882bac42df7465feec9 | [
"MIT"
] | null | null | null | pattern7-tree-breadth-first-search/7. Level Order Successor (easy).py | dopiwoo/Grokking-the-Coding-Interview | 78b2bacf9d761b460ac78882bac42df7465feec9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Feb 26 17:29:12 2021
@author: dopiwoo
Given a binary tree and a node, find the level order successor of the given node in the tree. The level order successor
is the node that appears right after the given node in the level order traversal.
"""
from co... | 24.363636 | 119 | 0.623756 |
76be0a159433c52bf9bb4c8d2bfce86eebcbe457 | 427 | py | Python | UnitTesting/Columbus/views.py | FalseG0d/AdvancedDjango | 52715ffea132e591f98f94b781960fc12a8613e4 | [
"MIT"
] | 9 | 2020-10-17T14:03:35.000Z | 2022-01-12T17:51:14.000Z | UnitTesting/Columbus/views.py | FalseG0d/AdvancedDjango | 52715ffea132e591f98f94b781960fc12a8613e4 | [
"MIT"
] | null | null | null | UnitTesting/Columbus/views.py | FalseG0d/AdvancedDjango | 52715ffea132e591f98f94b781960fc12a8613e4 | [
"MIT"
] | 4 | 2020-10-20T06:52:26.000Z | 2022-01-07T23:51:59.000Z | from django.shortcuts import render
from .models import Name
from .forms import NameForm
# Create your views here. | 21.35 | 47 | 0.627635 |
76be67bce0cf697811965ca2143b5be3cb2e2a79 | 1,307 | py | Python | bruges/attribute/energy.py | sbachkheti/bruges | 10fa2524bf8f1b02df2e4e195dc44ead1ed97cbd | [
"Apache-2.0"
] | null | null | null | bruges/attribute/energy.py | sbachkheti/bruges | 10fa2524bf8f1b02df2e4e195dc44ead1ed97cbd | [
"Apache-2.0"
] | null | null | null | bruges/attribute/energy.py | sbachkheti/bruges | 10fa2524bf8f1b02df2e4e195dc44ead1ed97cbd | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import numpy as np
from scipy.signal import fftconvolve
def energy(traces, duration, dt=1):
"""
Compute an mean-squared energy measurement for each point of a
seismic section.
:param traces: The data array to use for calculating MS energy.
Must be 1D or 2D n... | 31.878049 | 69 | 0.575363 |
76be7613f5b089099bb687a960915778fa3c9364 | 5,288 | py | Python | examples/test_heat.py | nschloe/maelstrom | 16a86524d8995448b510109493b1f12f8b35c82f | [
"MIT"
] | 26 | 2016-07-21T16:57:30.000Z | 2022-03-22T17:44:52.000Z | examples/test_heat.py | nschloe/maelstrom | 16a86524d8995448b510109493b1f12f8b35c82f | [
"MIT"
] | 2 | 2017-11-18T01:11:58.000Z | 2021-12-03T07:32:37.000Z | examples/test_heat.py | nschloe/maelstrom | 16a86524d8995448b510109493b1f12f8b35c82f | [
"MIT"
] | 6 | 2016-01-28T21:22:26.000Z | 2021-06-28T11:48:48.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
from __future__ import print_function
from dolfin import plot, dx, Constant, Measure, Function, project, XDMFFile
import matplotlib.pyplot as plt
import numpy
import problems
import maelstrom
import parabolic
def _parameter_quest():
"""Find parameter sets fittin... | 25.795122 | 76 | 0.587557 |
76c007829c9f8744254e7acb7d3b55012a5f340a | 1,823 | py | Python | news_collector/news_collector/spiders/laarena.py | mfalcon/chequeabot | 380ac0f19f27b29237c36205bdb94412eb4f7cd3 | [
"MIT"
] | 11 | 2019-02-05T06:59:21.000Z | 2021-02-04T10:00:28.000Z | news_collector/news_collector/spiders/laarena.py | mfalcon/chequeabot | 380ac0f19f27b29237c36205bdb94412eb4f7cd3 | [
"MIT"
] | 8 | 2021-03-18T21:37:54.000Z | 2022-03-11T23:36:04.000Z | news_collector/news_collector/spiders/laarena.py | chequeado/chequeabot | 682289952d6160aa6a6e70b002564e6b9c4be094 | [
"MIT"
] | 4 | 2019-11-18T21:48:35.000Z | 2020-11-04T13:39:39.000Z | import datetime
import newspaper
import scrapy
import locale
import datetime
locale.setlocale(locale.LC_ALL, "es_AR.utf8")
BASE_URL = 'http://www.laarena.com.ar/'
| 29.403226 | 116 | 0.60011 |
76c1957fa3e62fb50e20aef92a66bad4d263db88 | 5,343 | py | Python | Server/server.py | hackerghost93/Encrypted_FTP | 6d4b79fa0f3b9989a5c340c2859b53c4f7bc0970 | [
"MIT"
] | null | null | null | Server/server.py | hackerghost93/Encrypted_FTP | 6d4b79fa0f3b9989a5c340c2859b53c4f7bc0970 | [
"MIT"
] | null | null | null | Server/server.py | hackerghost93/Encrypted_FTP | 6d4b79fa0f3b9989a5c340c2859b53c4f7bc0970 | [
"MIT"
] | null | null | null | from multiprocessing import Process
from Crypto.Cipher import AES
import os
import sys
import threading
import socket
import platform
printing_lock = threading.Lock()
obj = AES.new('This is a key123', AES.MODE_CBC, 'This is an IV456')
counterTcp = 0
counterUdp = 0
if __name__ == '__main__': # is ru... | 34.921569 | 138 | 0.579637 |
76c4af815aa877a1d595acd54dc152c3b1eb6533 | 511 | py | Python | placement/settings.py | vipulgupta2048/getmejob | 348427b03e0c3d57661cba7a53d9738199497bd6 | [
"MIT"
] | 1 | 2019-08-14T09:11:48.000Z | 2019-08-14T09:11:48.000Z | placement/settings.py | vipulgupta2048/getmejob | 348427b03e0c3d57661cba7a53d9738199497bd6 | [
"MIT"
] | 3 | 2021-03-31T19:36:43.000Z | 2021-12-13T20:35:37.000Z | placement/settings.py | vipulgupta2048/getmejob | 348427b03e0c3d57661cba7a53d9738199497bd6 | [
"MIT"
] | 1 | 2019-08-14T09:11:52.000Z | 2019-08-14T09:11:52.000Z | BOT_NAME = "placement"
SPIDER_MODULES = ["placement.spiders"]
NEWSPIDER_MODULE = "placement.spiders"
ROBOTSTXT_OBEY = True
CONCURRENT_REQUESTS = 16
DUPEFILTER_DEBUG = True
EXTENSIONS = {"spidermon.contrib.scrapy.extensions.Spidermon": 500}
SPIDERMON_ENABLED = True
ITEM_PIPELINES = {"spidermon.contrib.scrapy.pipeli... | 26.894737 | 88 | 0.800391 |
76c5586c324a6c8cddcb69f882bddedf4ac01b9d | 628 | py | Python | api/src/mail.py | jsangmeister/openslides.com-1 | 73a5e2a36d5c969964ba0dd94c70dba83de99034 | [
"MIT"
] | null | null | null | api/src/mail.py | jsangmeister/openslides.com-1 | 73a5e2a36d5c969964ba0dd94c70dba83de99034 | [
"MIT"
] | 21 | 2019-08-07T15:11:17.000Z | 2022-01-31T09:57:07.000Z | api/src/mail.py | jsangmeister/openslides.com-1 | 73a5e2a36d5c969964ba0dd94c70dba83de99034 | [
"MIT"
] | 9 | 2019-07-10T14:11:48.000Z | 2022-02-08T11:40:59.000Z | import smtplib
from flask_babel import gettext as _
from flask_mail import Mail
from .app import app
from .errors import ViewError
mail = Mail(app)
| 24.153846 | 78 | 0.619427 |
76c5d6ceadd233d09e6617cd9a2eac6fd428af2a | 183 | py | Python | src/python/starpattern.py | DHANUSHXENO/a-patterns | 701ce22fdb1ac54b71943167edb97db89b7f311b | [
"MIT"
] | null | null | null | src/python/starpattern.py | DHANUSHXENO/a-patterns | 701ce22fdb1ac54b71943167edb97db89b7f311b | [
"MIT"
] | null | null | null | src/python/starpattern.py | DHANUSHXENO/a-patterns | 701ce22fdb1ac54b71943167edb97db89b7f311b | [
"MIT"
] | null | null | null |
star_pattern(5)
'''
star_pattern(5)
*
* *
* * *
* * * *
* * * * *
'''
| 10.764706 | 24 | 0.437158 |
76c632d8dcd5648691e6cdef8c48b528a22c1ea2 | 447 | py | Python | setup.py | sdimitro/savedump-workflows | 2f5b34f006d84c09918b2ade98c20902d411ed3f | [
"Apache-2.0"
] | 1 | 2021-03-27T14:10:55.000Z | 2021-03-27T14:10:55.000Z | setup.py | sdimitro/savedump-workflows | 2f5b34f006d84c09918b2ade98c20902d411ed3f | [
"Apache-2.0"
] | 9 | 2020-07-17T16:21:15.000Z | 2020-09-01T15:50:10.000Z | setup.py | sdimitro/savedump-workflows | 2f5b34f006d84c09918b2ade98c20902d411ed3f | [
"Apache-2.0"
] | 2 | 2020-08-03T17:53:56.000Z | 2020-08-12T21:49:12.000Z | #!/usr/bin/env python3
from setuptools import setup
setup(
name='savedump',
version="0.1.0",
packages=[
"savedump",
],
entry_points={
'console_scripts': ['savedump=savedump.savedump:main'],
},
author='Delphix Platform Team',
author_email='serapheim@delphix.com',
... | 19.434783 | 63 | 0.635347 |
76c6d2932401f4203f7334417d8df963804344f7 | 899 | py | Python | ex081.py | LucasBalbinoSS/Exercicios-Python-Mundo3 | 11799e9529ce4d9f20285b53206083310a076203 | [
"MIT"
] | null | null | null | ex081.py | LucasBalbinoSS/Exercicios-Python-Mundo3 | 11799e9529ce4d9f20285b53206083310a076203 | [
"MIT"
] | null | null | null | ex081.py | LucasBalbinoSS/Exercicios-Python-Mundo3 | 11799e9529ce4d9f20285b53206083310a076203 | [
"MIT"
] | null | null | null | listaNum = list()
contadorde5 = 0
while True:
num = int(input('Digite um nmero: '))
if num == 5:
contadorde5 += 1
listaNum.append(num)
continuar = str(input('Quer continuar? [ S / N ] ')).strip().upper()
print()
if continuar[0] == 'N':
break
while continuar[0] != 'S' and ... | 24.972222 | 81 | 0.604004 |
76c72ad5a13bd88794ba69132692e818b1f546b9 | 8,432 | py | Python | SHLDataset/data_fusion3.py | jenhuluck/deep-learning-in-ADL | c6f70ed2c845253698f8bf8dcdd47a8e74b30fd2 | [
"MIT"
] | 3 | 2020-10-29T09:37:47.000Z | 2022-03-24T13:03:28.000Z | SHLDataset/data_fusion3.py | jenhuluck/Deep-Learning-in-Human-Activity-Recognition- | c6f70ed2c845253698f8bf8dcdd47a8e74b30fd2 | [
"MIT"
] | 1 | 2020-10-13T03:12:28.000Z | 2020-10-13T03:12:28.000Z | SHLDataset/data_fusion3.py | jenhuluck/deep-learning-in-ADL | c6f70ed2c845253698f8bf8dcdd47a8e74b30fd2 | [
"MIT"
] | 1 | 2021-02-10T14:00:04.000Z | 2021-02-10T14:00:04.000Z | # -*- coding: utf-8 -*-
"""
Created on Fri Aug 21 21:38:36 2020
@author: Jieyun Hu
"""
#using deep learning on data fusion of motion and video data
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from scipy import stats
import tensorflow as tf
from sklearn import metrics
import h5py
import mat... | 41.742574 | 248 | 0.591675 |
76c82645a89d088d85f5022f67a7ad6314a2c8d3 | 245 | py | Python | api-test-code/credentials.py | srijansingh53/hatErase | eab4873efee4803a0c641777bce5bd63fb4fcc2f | [
"MIT"
] | 1 | 2020-06-26T07:24:03.000Z | 2020-06-26T07:24:03.000Z | api-test-code/credentials.py | srijansingh53/hatErase | eab4873efee4803a0c641777bce5bd63fb4fcc2f | [
"MIT"
] | null | null | null | api-test-code/credentials.py | srijansingh53/hatErase | eab4873efee4803a0c641777bce5bd63fb4fcc2f | [
"MIT"
] | null | null | null | consumer_key = 'F1BCRW0AXUlr0wjLE8L6Znm8a'
consumer_secret = 'HqRCnviPD8TmI05TSL47CA9eL6niFYtRu35CIP6J2F0fhjL9zz'
access_token = '1163025465423982592-WrNzWHSUZykiwRmYbexhkUa5BGudYZ'
access_secret = 'bZ0mWxWgFMClId9OoauDLQgT9IlwojmFS65OuGsy0E9QQ' | 61.25 | 70 | 0.902041 |
76cb577af9c67979a6febdbd56b344a5e668c7c4 | 1,086 | py | Python | data_operate_util.py | zs856/Second-hand-housing-guide-price-Shenzhen. | a4cbf0b3bc693d80d0ba64286ce9aeb0737c1698 | [
"MIT"
] | 2 | 2021-02-13T13:20:05.000Z | 2021-03-24T09:45:24.000Z | data_operate_util.py | zs856/Second-hand-housing-guide-price-Shenzhen. | a4cbf0b3bc693d80d0ba64286ce9aeb0737c1698 | [
"MIT"
] | null | null | null | data_operate_util.py | zs856/Second-hand-housing-guide-price-Shenzhen. | a4cbf0b3bc693d80d0ba64286ce9aeb0737c1698 | [
"MIT"
] | null | null | null | import re
import pandas as pd
from constant import shenzhen_data_csv_path
def shape_data(header, body):
"""
pdfdataframe
:param header:
:param body:
:return:
"""
pd.set_option('display.max_rows', None)
df = pd.DataFrame(body)
df.columns = header
return df
def to_csv(datafra... | 19.392857 | 59 | 0.643646 |
76cc225335a2213744e19bb14468fe461b9bf959 | 179 | py | Python | magi/agents/sac_ae/__init__.py | ethanluoyc/magi | 2ef2ba60989a55ccf8c90ba74c8e712fe301e2fa | [
"Apache-2.0"
] | 86 | 2021-11-24T21:53:29.000Z | 2022-03-27T13:35:45.000Z | magi/agents/sac_ae/__init__.py | ethanluoyc/magi | 2ef2ba60989a55ccf8c90ba74c8e712fe301e2fa | [
"Apache-2.0"
] | 7 | 2021-11-26T17:23:29.000Z | 2022-03-07T21:49:44.000Z | magi/agents/sac_ae/__init__.py | ethanluoyc/magi | 2ef2ba60989a55ccf8c90ba74c8e712fe301e2fa | [
"Apache-2.0"
] | 3 | 2021-11-27T11:13:18.000Z | 2022-01-24T14:38:53.000Z | """SAC-AE agent."""
from magi.agents.sac_ae.agent import SACAEAgent
from magi.agents.sac_ae.agent import SACAEConfig
from magi.agents.sac_ae.networks import make_default_networks
| 35.8 | 61 | 0.826816 |
76ce8679092b6c88a9cd642b89726a44b635faef | 86 | py | Python | test/lib-clay/externals/abi/newtypes/run.py | jb55/clay | db0bd2702ab0b6e48965cd85f8859bbd5f60e48e | [
"BSD-2-Clause"
] | 185 | 2015-01-04T09:33:17.000Z | 2022-03-18T04:53:38.000Z | test/externals/abi/complex/run.py | aep/clay | 92224d71c9d64a32d70a289593c13da7f970ec35 | [
"BSD-2-Clause"
] | 7 | 2015-03-22T06:13:42.000Z | 2015-12-28T19:07:24.000Z | test/externals/abi/complex/run.py | aep/clay | 92224d71c9d64a32d70a289593c13da7f970ec35 | [
"BSD-2-Clause"
] | 20 | 2015-01-09T22:24:46.000Z | 2022-03-18T04:54:59.000Z | import sys
sys.path.append('..')
import external_test
external_test.runExternalTest()
| 17.2 | 31 | 0.802326 |
76cf4f621c8a4523513d863e1b41164e09239127 | 34,495 | py | Python | luna/gateware/debug/ila.py | macdaliot/luna | 97e725d0af001a6d4c4811eefb43b6c31a9b45e1 | [
"BSD-3-Clause"
] | 1 | 2021-02-28T04:35:15.000Z | 2021-02-28T04:35:15.000Z | luna/gateware/debug/ila.py | macdaliot/luna | 97e725d0af001a6d4c4811eefb43b6c31a9b45e1 | [
"BSD-3-Clause"
] | null | null | null | luna/gateware/debug/ila.py | macdaliot/luna | 97e725d0af001a6d4c4811eefb43b6c31a9b45e1 | [
"BSD-3-Clause"
] | null | null | null | #
# This file is part of LUNA.
#
# Copyright (c) 2020 Great Scott Gadgets <info@greatscottgadgets.com>
# SPDX-License-Identifier: BSD-3-Clause
""" Integrated logic analysis helpers. """
import io
import os
import sys
import math
import unittest
import tempfile
import subprocess
from abc import ABCMeta, a... | 35.020305 | 123 | 0.604464 |
4f113526def488c862f6b1e51745bcce4bcf9d63 | 3,400 | py | Python | SPD/lib/lib_IZZI_MD.py | yamamon75/PmagPy | fa5b189800a239683fc17c6b312cdfdd839a46c3 | [
"BSD-3-Clause"
] | 2 | 2020-07-05T01:11:33.000Z | 2020-07-05T01:11:39.000Z | SPD/lib/lib_IZZI_MD.py | yamamon75/PmagPy | fa5b189800a239683fc17c6b312cdfdd839a46c3 | [
"BSD-3-Clause"
] | null | null | null | SPD/lib/lib_IZZI_MD.py | yamamon75/PmagPy | fa5b189800a239683fc17c6b312cdfdd839a46c3 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
from __future__ import division
from builtins import range
from past.utils import old_div
from numpy import *
| 34.693878 | 131 | 0.518824 |