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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
5e980755aede8846395099a7960ebfb4ac369707 | 12,677 | py | Python | mycity/mycity/intents/trash_intent.py | EndyPremier/voiceapp311 | 168cf1665bd9a294823f82373e65c6c1d22b8831 | [
"MIT"
] | null | null | null | mycity/mycity/intents/trash_intent.py | EndyPremier/voiceapp311 | 168cf1665bd9a294823f82373e65c6c1d22b8831 | [
"MIT"
] | null | null | null | mycity/mycity/intents/trash_intent.py | EndyPremier/voiceapp311 | 168cf1665bd9a294823f82373e65c6c1d22b8831 | [
"MIT"
] | null | null | null | """
Functions for Alexa responses related to trash day
"""
from mycity.intents.speech_constants.location_speech_constants import \
NOT_IN_BOSTON_SPEECH
from mycity.utilities.location_services_utils import \
request_device_address_permission_response, \
get_address_from_user_device, \
is_address_in_city
... | 37.285294 | 80 | 0.698982 |
89d96e762fd798966eccddeea5cb056d83133077 | 702 | py | Python | models.py | bwasilewski/cardbox | 2eb47cc40d0230e35878be79793b3646a5dcb876 | [
"MIT"
] | 1 | 2015-11-07T04:51:27.000Z | 2015-11-07T04:51:27.000Z | models.py | bwasilewski/cardbox | 2eb47cc40d0230e35878be79793b3646a5dcb876 | [
"MIT"
] | null | null | null | models.py | bwasilewski/cardbox | 2eb47cc40d0230e35878be79793b3646a5dcb876 | [
"MIT"
] | null | null | null | import datetime
from flask import url_for
from cardbox import db
class Card(db.Document):
created_at = db.DateTimeField(default=datetime.datetime.now, required=True)
name = db.StringField()
card_id = db.StringField()
url = db.StringField()
store_url = db.StringField()
types = db.StringField()
subtypes = ... | 25.071429 | 77 | 0.69943 |
5799c79adcbf8b82e43f6fa282eb81841c679819 | 2,788 | py | Python | abjhelp/users/forms.py | aleducode/help-abejorral | cd924bcef45ad45a4ed3d2950fb1002b170309a8 | [
"MIT"
] | 4 | 2020-08-18T23:41:34.000Z | 2020-10-08T21:15:54.000Z | abjhelp/users/forms.py | aleducode/help-abejorral | cd924bcef45ad45a4ed3d2950fb1002b170309a8 | [
"MIT"
] | 3 | 2020-08-31T19:38:46.000Z | 2020-08-31T19:39:18.000Z | abjhelp/users/forms.py | aleducode/help-abejorral | cd924bcef45ad45a4ed3d2950fb1002b170309a8 | [
"MIT"
] | 1 | 2020-08-25T18:29:14.000Z | 2020-08-25T18:29:14.000Z | """User forms."""
from django import forms
from abjhelp.users.models import HelpRequest, DonorRequest
class HelpRequestForm(forms.Form):
name = forms.CharField(
min_length=2,
max_length=50,
label='Nombre',
error_messages={
'required': 'Este campo es requerido',
... | 25.345455 | 66 | 0.523314 |
d01c749c1f8a594431ebb8f9cb641e24a7a7343e | 3,049 | py | Python | api/base/authentication/drf.py | bdyetton/prettychart | e8b33a7dfdc8c33d15969586be7f68172795f76d | [
"Apache-2.0"
] | null | null | null | api/base/authentication/drf.py | bdyetton/prettychart | e8b33a7dfdc8c33d15969586be7f68172795f76d | [
"Apache-2.0"
] | null | null | null | api/base/authentication/drf.py | bdyetton/prettychart | e8b33a7dfdc8c33d15969586be7f68172795f76d | [
"Apache-2.0"
] | null | null | null | import itsdangerous
from django.utils.translation import ugettext_lazy as _
from rest_framework import authentication
from rest_framework.authentication import BasicAuthentication
from rest_framework import exceptions
from framework.auth import cas
from framework.sessions.model import Session
from framework.auth.core... | 35.870588 | 103 | 0.700558 |
4daa0f7bc70902c3befb0f495203b8f472f1f9d9 | 377 | py | Python | Camera/LineFollower/driverClient.py | maroneal/MircoITS | c83c2a0a4298698edaae181e15514d79ce59e7d0 | [
"BSD-2-Clause"
] | null | null | null | Camera/LineFollower/driverClient.py | maroneal/MircoITS | c83c2a0a4298698edaae181e15514d79ce59e7d0 | [
"BSD-2-Clause"
] | null | null | null | Camera/LineFollower/driverClient.py | maroneal/MircoITS | c83c2a0a4298698edaae181e15514d79ce59e7d0 | [
"BSD-2-Clause"
] | null | null | null | import socket
import time
import xboxdrv
TCP_IP = "127.0.0.1"
TCP_PORT = 4200
print "TCP target IP:", TCP_IP
print "TCP target port:", TCP_PORT
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
while True:
if ord('a') == True:
MESSAGE[0] = "1.0000"
else:
MESSAGE[0] = "0.0000"
so... | 17.136364 | 56 | 0.644562 |
6821602d3d3fc8ceaa615b81bb4b620cf747213b | 3,585 | py | Python | art/estimators/keras.py | meghana-sesetti/adversarial-robustness-toolbox | 6a5ce9e4142734ad9004e5c093ef8fa754ea6b39 | [
"MIT"
] | 1 | 2021-09-09T13:19:34.000Z | 2021-09-09T13:19:34.000Z | art/estimators/keras.py | Tikquuss/adversarial-robustness-toolbox | 62ffe7c951d8a60d49a9ea6ac7b04aa4432a3fb7 | [
"MIT"
] | 33 | 2021-01-18T08:30:34.000Z | 2022-03-11T07:05:13.000Z | art/estimators/keras.py | Tikquuss/adversarial-robustness-toolbox | 62ffe7c951d8a60d49a9ea6ac7b04aa4432a3fb7 | [
"MIT"
] | 1 | 2021-09-09T13:19:35.000Z | 2021-09-09T13:19:35.000Z | # MIT License
#
# Copyright (C) The Adversarial Robustness Toolbox (ART) Authors 2020
#
# 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
# r... | 42.678571 | 120 | 0.691771 |
1799ca6e02a15d00c49565f6e10fcf659f4d9a70 | 6,510 | py | Python | assists/baremetallinker_xlnx.py | hakonfam/lopper | 8aec5c7fbf5bff874c859f2289253db17160b6e0 | [
"BSD-3-Clause"
] | null | null | null | assists/baremetallinker_xlnx.py | hakonfam/lopper | 8aec5c7fbf5bff874c859f2289253db17160b6e0 | [
"BSD-3-Clause"
] | null | null | null | assists/baremetallinker_xlnx.py | hakonfam/lopper | 8aec5c7fbf5bff874c859f2289253db17160b6e0 | [
"BSD-3-Clause"
] | null | null | null | #/*
# * Copyright (c) 2020 Xilinx Inc. All rights reserved.
# *
# * Author:
# * Appana Durga Kedareswara rao <appana.durga.rao@xilinx.com>
# *
# * SPDX-License-Identifier: BSD-3-Clause
# */
import struct
import sys
import types
import unittest
import os
import getopt
import re
import subprocess
import shutil
fro... | 36.779661 | 157 | 0.590783 |
7bcb5ad832c4d32592a8da0d6abf1106c38d9574 | 456 | py | Python | day1/day1_pt2.py | jwhitex/AdventOfCode2018 | e552185f7d6413ccdad824911c66a6590e8de9bb | [
"MIT"
] | null | null | null | day1/day1_pt2.py | jwhitex/AdventOfCode2018 | e552185f7d6413ccdad824911c66a6590e8de9bb | [
"MIT"
] | null | null | null | day1/day1_pt2.py | jwhitex/AdventOfCode2018 | e552185f7d6413ccdad824911c66a6590e8de9bb | [
"MIT"
] | null | null | null | #!/usr/bin/env python
def runSim(fsum, series, fdict):
for i in range(0,len(series)):
fsum += series[i]
if fsum in fdict:
return (True, fsum)
fdict[fsum] = None
return (False, fsum)
fin=[]
with open("day1.input") as file:
for line in file:
fin+=[int(line.rstrip(... | 19.826087 | 41 | 0.567982 |
523f06fc63a0ee44a4d562447c0677170397f47b | 4,847 | py | Python | applications/EigenSolversApplication/tests/test_eigen_direct_solver.py | HubertBalcerzak/Kratos | c15689d53f06dabb36dc44c13eeac73d3e183916 | [
"BSD-4-Clause"
] | null | null | null | applications/EigenSolversApplication/tests/test_eigen_direct_solver.py | HubertBalcerzak/Kratos | c15689d53f06dabb36dc44c13eeac73d3e183916 | [
"BSD-4-Clause"
] | 1 | 2019-10-15T13:11:37.000Z | 2019-10-15T13:11:37.000Z | applications/EigenSolversApplication/tests/test_eigen_direct_solver.py | Gaoliu19910601/Kratos | 0bac5e132d02061680fc90f1e52d4930b5ed7fa3 | [
"BSD-4-Clause"
] | null | null | null |
from __future__ import print_function, absolute_import, division
import os
import KratosMultiphysics
import KratosMultiphysics.EigenSolversApplication as EigenSolversApplication
import KratosMultiphysics.KratosUnittest as KratosUnittest
from KratosMultiphysics.python_linear_solver_factory import ConstructSolver
clas... | 40.057851 | 137 | 0.727254 |
e2916551dfc60366cd8e1c49720d1dacfaa96b84 | 301 | py | Python | setup.py | sukovanej/mplispstd | 510fba5f3c95fec370665d736e5db5fb6248b3d7 | [
"MIT"
] | null | null | null | setup.py | sukovanej/mplispstd | 510fba5f3c95fec370665d736e5db5fb6248b3d7 | [
"MIT"
] | null | null | null | setup.py | sukovanej/mplispstd | 510fba5f3c95fec370665d736e5db5fb6248b3d7 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from distutils.core import setup
setup(
name='mplispstd',
version='0.1',
packages=[
'mplispstd',
'mplispstd.io',
'mplispstd.math',
'mplispstd.string',
'mplispstd.env',
],
install_requires=[
'mplisp',
]
)
| 15.842105 | 32 | 0.534884 |
b8adb9ddfde6f4b218b7019e18a354e064b74b38 | 14,977 | py | Python | seqskip_train_seq2eH_in10.py | mimbres/SeqSkip | 031add5ba22cad1665d76b2cb21e8f6c1e1357e5 | [
"Apache-2.0"
] | 7 | 2019-02-15T07:46:27.000Z | 2021-09-16T06:31:43.000Z | seqskip_train_seq2eH_in10.py | mimbres/SeqSkip | 031add5ba22cad1665d76b2cb21e8f6c1e1357e5 | [
"Apache-2.0"
] | 1 | 2021-09-16T03:06:16.000Z | 2021-09-17T02:08:02.000Z | seqskip_train_seq2eH_in10.py | mimbres/SeqSkip | 031add5ba22cad1665d76b2cb21e8f6c1e1357e5 | [
"Apache-2.0"
] | 1 | 2019-07-07T22:10:30.000Z | 2019-07-07T22:10:30.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Dec 11 00:45:08 2018
seq2eH: seqeunce learning model with separate encoder for support and query, 1stack each
- non-autoregressive (not feeding predicted labels)
- instance Norm.
- G: GLU version
- H: Highway-net version
- applied more efficient dilate... | 45.522796 | 165 | 0.584964 |
537f51557f500c63adfc167d393678bf972d3b56 | 9,326 | py | Python | tick/hawkes/inference/hawkes_sumexpkern_fixeddecay.py | sumau/tick | 1b56924a35463e12f7775bc0aec182364f26f2c6 | [
"BSD-3-Clause"
] | 411 | 2017-03-30T15:22:05.000Z | 2022-03-27T01:58:34.000Z | tick/hawkes/inference/hawkes_sumexpkern_fixeddecay.py | saurabhdash/tick | bbc561804eb1fdcb4c71b9e3e2d83a66e7b13a48 | [
"BSD-3-Clause"
] | 345 | 2017-04-13T14:53:20.000Z | 2022-03-26T00:46:22.000Z | tick/hawkes/inference/hawkes_sumexpkern_fixeddecay.py | saurabhdash/tick | bbc561804eb1fdcb4c71b9e3e2d83a66e7b13a48 | [
"BSD-3-Clause"
] | 102 | 2017-04-25T11:47:53.000Z | 2022-02-15T11:45:49.000Z | # License: BSD 3 clause
import numpy as np
from tick.base import actual_kwargs
from tick.hawkes import (ModelHawkesSumExpKernLeastSq, SimuHawkesSumExpKernels)
from tick.hawkes.inference.base import LearnerHawkesParametric
from tick.prox import ProxElasticNet, ProxL1, ProxL2Sq, ProxPositive
class HawkesSumExpKern(Le... | 36.716535 | 84 | 0.611087 |
57dea3b6a9fcbefa44593b129ed848e6bbe893f3 | 406 | py | Python | CTAtool/cache.py | guan27/NTU_NLP_2021Spring | a79451bf1d107a5d75dfa959ecc008b3829becc8 | [
"MIT"
] | null | null | null | CTAtool/cache.py | guan27/NTU_NLP_2021Spring | a79451bf1d107a5d75dfa959ecc008b3829becc8 | [
"MIT"
] | null | null | null | CTAtool/cache.py | guan27/NTU_NLP_2021Spring | a79451bf1d107a5d75dfa959ecc008b3829becc8 | [
"MIT"
] | 1 | 2021-09-29T10:47:14.000Z | 2021-09-29T10:47:14.000Z | '''
Cached words with lemmas that have been looked up before
Use a dictionary lookup if the word is in cache_dict
else find the word and add it into the cache_dict
'''
import json
def init():
global cache_dict
cache_dict = {}
def save_synonym_dict():
with open('./synonym_dict', 'w', encoding = 'utf-8') as f... | 29 | 66 | 0.684729 |
a4be4402db5e8948e7572b20983b2d63d21cfd9c | 11,313 | py | Python | update.py | Hmaksu/Zoom-Duration-Calculator | 118dbc17997b54f398914fb399ca2c882b0d0969 | [
"MIT"
] | null | null | null | update.py | Hmaksu/Zoom-Duration-Calculator | 118dbc17997b54f398914fb399ca2c882b0d0969 | [
"MIT"
] | null | null | null | update.py | Hmaksu/Zoom-Duration-Calculator | 118dbc17997b54f398914fb399ca2c882b0d0969 | [
"MIT"
] | null | null | null | from tkinter import *
from tkinter import filedialog
from tkinter.ttk import *
import os
import xlrd
import xlsxwriter
root = Tk()
root.title("CivilCon")
root.iconbitmap("CC.ico")
root.geometry("500x500")
class CivilCon:
def __init__(self, master): #First Page
self.master = master
... | 45.616935 | 497 | 0.455847 |
1cce0638b2241e788a43951c2ed4fa252db27334 | 3,554 | py | Python | wagtail/admin/widgets/datetime.py | wgarlock/wagtail | 1bfc13952f5ffc0e40a4435d15a5aefd70984430 | [
"BSD-3-Clause"
] | 2 | 2021-03-18T21:41:05.000Z | 2021-03-18T21:41:08.000Z | wagtail/admin/widgets/datetime.py | wgarlock/wagtail | 1bfc13952f5ffc0e40a4435d15a5aefd70984430 | [
"BSD-3-Clause"
] | 13 | 2015-05-08T12:27:10.000Z | 2020-01-23T14:45:57.000Z | wagtail/admin/widgets/datetime.py | wgarlock/wagtail | 1bfc13952f5ffc0e40a4435d15a5aefd70984430 | [
"BSD-3-Clause"
] | 1 | 2021-02-15T18:59:53.000Z | 2021-02-15T18:59:53.000Z | import json
from django import forms
from django.conf import settings
from django.forms import widgets
from django.utils.formats import get_format
from wagtail.admin.datetimepicker import to_datetimepicker_format
from wagtail.admin.staticfiles import versioned_static
DEFAULT_DATE_FORMAT = '%Y-%m-%d'
DEFAULT_DATETIM... | 31.451327 | 87 | 0.647721 |
844754bd1e512eea8ba72baf256447ea1ef68a5f | 7,863 | py | Python | kubernetes/client/models/v1_config_map_node_config_source.py | L3T/python | b6e4ae81a2afb49f668a142eb7d1c6e2571ef478 | [
"Apache-2.0"
] | 2 | 2020-06-21T08:03:18.000Z | 2020-06-21T09:53:29.000Z | kubernetes/client/models/v1_config_map_node_config_source.py | L3T/python | b6e4ae81a2afb49f668a142eb7d1c6e2571ef478 | [
"Apache-2.0"
] | null | null | null | kubernetes/client/models/v1_config_map_node_config_source.py | L3T/python | b6e4ae81a2afb49f668a142eb7d1c6e2571ef478 | [
"Apache-2.0"
] | 1 | 2020-06-21T08:03:17.000Z | 2020-06-21T08:03:17.000Z | # coding: utf-8
"""
Kubernetes
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
OpenAPI spec version: release-1.16
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
class V1Con... | 34.186957 | 172 | 0.634109 |
a78e736afad421de8fdbbede8643e00ba7727de2 | 36,123 | py | Python | saleor/graphql/product/tests/test_category.py | fairhopeweb/saleor | 9ac6c22652d46ba65a5b894da5f1ba5bec48c019 | [
"CC-BY-4.0"
] | 15,337 | 2015-01-12T02:11:52.000Z | 2021-10-05T19:19:29.000Z | saleor/graphql/product/tests/test_category.py | fairhopeweb/saleor | 9ac6c22652d46ba65a5b894da5f1ba5bec48c019 | [
"CC-BY-4.0"
] | 7,486 | 2015-02-11T10:52:13.000Z | 2021-10-06T09:37:15.000Z | saleor/graphql/product/tests/test_category.py | fairhopeweb/saleor | 9ac6c22652d46ba65a5b894da5f1ba5bec48c019 | [
"CC-BY-4.0"
] | 5,864 | 2015-01-16T14:52:54.000Z | 2021-10-05T23:01:15.000Z | import os
from unittest.mock import Mock, patch
import graphene
import pytest
from django.utils.text import slugify
from graphql_relay import to_global_id
from ....product.error_codes import ProductErrorCode
from ....product.models import Category, Product, ProductChannelListing
from ....product.tests.utils import cr... | 32.080817 | 88 | 0.644575 |
d41bd3c2551994fa9d6dabe0ff04996d3e737368 | 14,675 | py | Python | ddtrace/profiling/exporter/pprof.py | RobertTownley/dd-trace-py | f5a04c60ed0387268f024ab8cd6d2ac2a1f04eb9 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | ddtrace/profiling/exporter/pprof.py | RobertTownley/dd-trace-py | f5a04c60ed0387268f024ab8cd6d2ac2a1f04eb9 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | ddtrace/profiling/exporter/pprof.py | RobertTownley/dd-trace-py | f5a04c60ed0387268f024ab8cd6d2ac2a1f04eb9 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | import collections
import itertools
import operator
import sys
try:
import tracemalloc
except ImportError:
tracemalloc = None
from ddtrace.vendor import six
from ddtrace.profiling import _line2def
from ddtrace.profiling import exporter
from ddtrace.vendor import attr
from ddtrace.profiling.collector import e... | 38.925729 | 118 | 0.638228 |
9f6c9d7cb4a629b64e20f2d4d2b437ed82ea8ff7 | 14,179 | py | Python | portfolio/Asset.py | open-risk/equinox | 0503e716b566ff7c776f04a611879f88d86e1cc6 | [
"Apache-2.0"
] | 10 | 2021-03-21T22:05:33.000Z | 2022-03-15T18:26:58.000Z | portfolio/Asset.py | open-risk/equinox | 0503e716b566ff7c776f04a611879f88d86e1cc6 | [
"Apache-2.0"
] | 2 | 2021-10-30T15:15:41.000Z | 2021-11-11T12:35:02.000Z | portfolio/Asset.py | open-risk/equinox | 0503e716b566ff7c776f04a611879f88d86e1cc6 | [
"Apache-2.0"
] | 1 | 2022-03-16T18:59:36.000Z | 2022-03-16T18:59:36.000Z | # Copyright (c) 2021 Open Risk (https://www.openriskmanagement.com)
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, co... | 64.744292 | 243 | 0.640313 |
ac65babe72679aa6912795fc10f5973f7204c013 | 3,208 | py | Python | artifacts/infodynamics-dist-1.3/demos/python/example4TeContinuousDataKraskov.py | kamir/WikiExplorer.NG | 7b56e3d1e638d760fe238dfd66d3775404335ff4 | [
"Apache-2.0"
] | null | null | null | artifacts/infodynamics-dist-1.3/demos/python/example4TeContinuousDataKraskov.py | kamir/WikiExplorer.NG | 7b56e3d1e638d760fe238dfd66d3775404335ff4 | [
"Apache-2.0"
] | 7 | 2020-06-30T23:18:30.000Z | 2022-02-01T01:02:32.000Z | artifacts/infodynamics-dist-1.3/demos/python/example4TeContinuousDataKraskov.py | kamir/WikiExplorer.NG | 7b56e3d1e638d760fe238dfd66d3775404335ff4 | [
"Apache-2.0"
] | null | null | null | ##
## Java Information Dynamics Toolkit (JIDT)
## Copyright (C) 2012, Joseph T. Lizier
##
## This program is free software: you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation, either version 3 of the License, or
## (at yo... | 50.125 | 138 | 0.747506 |
2919c4d6de8fe4758418f7a8055fbf264f667117 | 307 | py | Python | take_snapshot.py | prarthaana123/Project102 | 58273208e98e7d15183ed6375ac6682bcaeeab94 | [
"MIT"
] | null | null | null | take_snapshot.py | prarthaana123/Project102 | 58273208e98e7d15183ed6375ac6682bcaeeab94 | [
"MIT"
] | null | null | null | take_snapshot.py | prarthaana123/Project102 | 58273208e98e7d15183ed6375ac6682bcaeeab94 | [
"MIT"
] | null | null | null |
def take_snapshot():
videoCaptureObject = cv2.VideoCapture(0)
result = True
while(result):
ret,frame = videoCaptureObject.read()
cv2.imwrite("NewPicture.jpg",frame)
result = False
videoCaptureObject.release()
cv2.destroyAllWindows()
take_snapshot() | 23.615385 | 46 | 0.644951 |
fa5368b76900762937ce9e6c1a44d4035984c0ed | 38,619 | py | Python | spearmint/acquisition_functions/PPESMOC_gradients.py | EduardoGarrido90/spearmint_ppesmoc | 4c4da9b3858e52c15698f1b401f4a4a5b02517fa | [
"RSA-MD"
] | 6 | 2021-06-29T11:26:49.000Z | 2022-01-20T18:12:47.000Z | build/lib.linux-x86_64-2.7/spearmint/acquisition_functions/PPESMOC_gradients.py | EduardoGarrido90/spearmint_ppesmoc | 4c4da9b3858e52c15698f1b401f4a4a5b02517fa | [
"RSA-MD"
] | null | null | null | build/lib.linux-x86_64-2.7/spearmint/acquisition_functions/PPESMOC_gradients.py | EduardoGarrido90/spearmint_ppesmoc | 4c4da9b3858e52c15698f1b401f4a4a5b02517fa | [
"RSA-MD"
] | 3 | 2021-06-29T14:48:44.000Z | 2022-03-28T15:20:04.000Z | from collections import defaultdict
import autograd.numpy as np
#import numpy as np
import autograd.misc.flatten as flatten
import autograd.scipy.stats as sps
#import scipy.stats as sps
from autograd.numpy.linalg import solve
#from numpy.linalg import solve
from scipy.spatial.distance import cdist
import numpy.linalg ... | 48.334168 | 165 | 0.575106 |
1f585fd19eccfea1eda7844562b17214f2448a0d | 366 | py | Python | setup.py | dbogdanov/beets-mpdadd | c6ca520714b0decffb66471188cfe260c89f4cd2 | [
"MIT"
] | 6 | 2015-04-02T01:46:24.000Z | 2021-10-11T08:23:56.000Z | setup.py | dbogdanov/beets-mpdadd | c6ca520714b0decffb66471188cfe260c89f4cd2 | [
"MIT"
] | null | null | null | setup.py | dbogdanov/beets-mpdadd | c6ca520714b0decffb66471188cfe260c89f4cd2 | [
"MIT"
] | 1 | 2021-10-09T02:07:23.000Z | 2021-10-09T02:07:23.000Z | from setuptools import setup
setup(
name='beets-mpdadd',
version='0.2',
description='beets plugin that adds query results to the current MPD playlist',
author='Daniel Greve',
author_email='danielgreve@users.noreply.github.com',
license='MIT',
platforms='ALL',
packages=['beetsplug'],
... | 26.142857 | 83 | 0.68306 |
2827f813979752e4d8bf70c94402c779eabb7757 | 3,198 | py | Python | jobs/models.py | MahmoudSafan/job-seeker | 00c0fbbfd05c4ef7f78da87c254fedb51f018cb9 | [
"MIT"
] | 1 | 2021-05-22T09:07:44.000Z | 2021-05-22T09:07:44.000Z | jobs/models.py | MahmoudSafan/job-seeker | 00c0fbbfd05c4ef7f78da87c254fedb51f018cb9 | [
"MIT"
] | null | null | null | jobs/models.py | MahmoudSafan/job-seeker | 00c0fbbfd05c4ef7f78da87c254fedb51f018cb9 | [
"MIT"
] | null | null | null | from django.db import models
from django.utils.text import slugify
# Create your models here.
jobType = (
("Architecture and Engineering Occupations","Architecture and Engineering Occupations"),
("Arts, Design, Entertainment, Sports, and Media Occupations","Arts, Design, Entertainment, Sports, and Media Occupa... | 43.216216 | 128 | 0.726079 |
48510a469f93c17d433e421704706169a0fe4bc0 | 2,736 | py | Python | utils/KTS/cpd_auto.py | Lorna-Liu/ultrasound_vsumm_RL | 469214c6c9ef7fb8ecdeb29b831307b5be877d5a | [
"MIT"
] | 17 | 2020-09-12T03:28:42.000Z | 2021-11-15T12:10:31.000Z | utils/KTS/cpd_auto.py | Lorna-Liu/ultrasound_vsumm_RL | 469214c6c9ef7fb8ecdeb29b831307b5be877d5a | [
"MIT"
] | 3 | 2020-10-16T08:52:05.000Z | 2022-03-22T02:59:55.000Z | utils/KTS/cpd_auto.py | Lorna-Liu/ultrasound_vsumm_RL | 469214c6c9ef7fb8ecdeb29b831307b5be877d5a | [
"MIT"
] | 1 | 2021-06-02T11:41:12.000Z | 2021-06-02T11:41:12.000Z | import numpy as np
from KTS.cpd_nonlin import cpd_nonlin
def cpd_auto(K, ncp, vmax, desc_rate=1, **kwargs):
"""Main interface
Detect change points automatically selecting their number
K - kernel between each pair of frames in video
ncp - maximum ncp
vmax - special para... | 31.448276 | 80 | 0.592471 |
0eeab57c303b999e807e39f73e26981432a52bea | 983 | py | Python | setup.py | arnaudmiribel/st | 85ba1902fe4ebc90662b16d3ef6ed1283781448b | [
"MIT"
] | 9 | 2021-11-22T15:04:26.000Z | 2022-01-04T19:57:17.000Z | setup.py | arnaudmiribel/st | 85ba1902fe4ebc90662b16d3ef6ed1283781448b | [
"MIT"
] | 1 | 2021-11-23T10:14:14.000Z | 2021-12-13T21:52:50.000Z | setup.py | arnaudmiribel/st | 85ba1902fe4ebc90662b16d3ef6ed1283781448b | [
"MIT"
] | 1 | 2022-01-02T21:13:59.000Z | 2022-01-02T21:13:59.000Z | from setuptools import setup, find_packages
with open("requirements.txt") as f:
requirements = f.readlines()
long_description = "st is a CLI that helps you kick-off a new Streamlit \
project so you can start crafting the app as soon as possible!"
setup(
name="st-kickoff",
version="0.2",
author="... | 33.896552 | 78 | 0.686673 |
afeffccb29bd40fdea8db2098b9cd49e1f36aaac | 1,013 | py | Python | tests/kyu_6_tests/test_prize_draw.py | the-zebulan/CodeWars | 1eafd1247d60955a5dfb63e4882e8ce86019f43a | [
"MIT"
] | 40 | 2016-03-09T12:26:20.000Z | 2022-03-23T08:44:51.000Z | tests/kyu_6_tests/test_prize_draw.py | akalynych/CodeWars | 1eafd1247d60955a5dfb63e4882e8ce86019f43a | [
"MIT"
] | null | null | null | tests/kyu_6_tests/test_prize_draw.py | akalynych/CodeWars | 1eafd1247d60955a5dfb63e4882e8ce86019f43a | [
"MIT"
] | 36 | 2016-11-07T19:59:58.000Z | 2022-03-31T11:18:27.000Z | import unittest
from katas.kyu_6.prize_draw import rank
class PrizeDrawTestCase(unittest.TestCase):
def test_equals(self):
self.assertEqual(rank('Elijah,Chloe,Elizabeth,Matthew,Natalie,Jayden',
[1, 3, 5, 5, 3, 6], 2), 'Matthew')
def test_equals_2(self):
self.ass... | 33.766667 | 79 | 0.579467 |
7bfbb1147c2db6cd52afe4a69c365343276f5cf3 | 4,135 | py | Python | selenium/src/py/lib/docutils/parsers/rst/languages/es.py | epall/selenium | 273260522efb84116979da2a499f64510250249b | [
"Apache-2.0"
] | 4 | 2015-10-26T01:43:04.000Z | 2018-05-12T17:39:32.000Z | selenium/src/py/lib/docutils/parsers/rst/languages/es.py | hugs/selenium | 9fa09c04294bd43099aa8461b027148ba81be7b7 | [
"Apache-2.0"
] | 1 | 2021-06-18T00:45:52.000Z | 2021-06-18T00:45:52.000Z | selenium/src/py/lib/docutils/parsers/rst/languages/es.py | hugs/selenium | 9fa09c04294bd43099aa8461b027148ba81be7b7 | [
"Apache-2.0"
] | 2 | 2016-07-11T20:19:31.000Z | 2018-11-17T22:36:54.000Z | # -*- coding: utf-8 -*-
# Author: Marcelo Huerta San Martín
# Contact: richieadler@users.sourceforge.net
# Revision: $Revision: 4231 $
# Date: $Date: 2005-12-23 03:10:41 +0100 (Fri, 23 Dec 2005) $
# Copyright: This module has been placed in the public domain.
# New language mappings are welcome. Before doing a new tr... | 33.346774 | 81 | 0.613543 |
9f72193fc076927104fe0c024654ffc9fb3894a9 | 2,262 | py | Python | flask_project/campaign_manager/data_providers/_abstract_osmcha_provider.py | russbiggs/MapCampaigner | 05b6c6eb1bdefbe0b60313a9d3cd1a0d2df2a148 | [
"BSD-3-Clause"
] | 24 | 2018-10-05T06:39:11.000Z | 2022-02-22T08:54:37.000Z | flask_project/campaign_manager/data_providers/_abstract_osmcha_provider.py | russbiggs/MapCampaigner | 05b6c6eb1bdefbe0b60313a9d3cd1a0d2df2a148 | [
"BSD-3-Clause"
] | 384 | 2017-05-17T07:50:02.000Z | 2018-09-20T08:18:56.000Z | flask_project/campaign_manager/data_providers/_abstract_osmcha_provider.py | russbiggs/MapCampaigner | 05b6c6eb1bdefbe0b60313a9d3cd1a0d2df2a148 | [
"BSD-3-Clause"
] | 16 | 2017-05-11T08:52:19.000Z | 2018-06-08T06:55:43.000Z | __author__ = 'Irwan Fathurrahman <irwan@kartoza.com>'
__date__ = '12/06/17'
import json
import requests
from app_config import Config
from urllib.error import HTTPError
from campaign_manager.utilities import multi_feature_to_polygon
from campaign_manager.data_providers._abstract_data_provider import (
AbstractData... | 27.925926 | 69 | 0.538904 |
de20fca174f936a3137ecbb225e01d4fb750597d | 2,844 | py | Python | openstack/network/v2/rule.py | wangrui1121/huaweicloud-sdk-python | 240abe00288760115d1791012d4e3c4592d77ad1 | [
"Apache-2.0"
] | 43 | 2018-12-19T08:39:15.000Z | 2021-07-21T02:45:43.000Z | openstack/network/v2/rule.py | wangrui1121/huaweicloud-sdk-python | 240abe00288760115d1791012d4e3c4592d77ad1 | [
"Apache-2.0"
] | 11 | 2019-03-17T13:28:56.000Z | 2020-09-23T23:57:50.000Z | openstack/network/v2/rule.py | wangrui1121/huaweicloud-sdk-python | 240abe00288760115d1791012d4e3c4592d77ad1 | [
"Apache-2.0"
] | 47 | 2018-12-19T05:14:25.000Z | 2022-03-19T15:28:30.000Z | # -*- coding:utf-8 -*-
# Copyright 2018 Huawei Technologies Co.,Ltd.
#
# 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... | 43.090909 | 96 | 0.617089 |
347df4cd3812e8697c448eb87c32733ee6f8fb18 | 5,320 | py | Python | Incident-Response/Tools/cyphon/cyphon/engines/elasticsearch/results.py | sn0b4ll/Incident-Playbook | cf519f58fcd4255674662b3620ea97c1091c1efb | [
"MIT"
] | 1 | 2021-07-24T17:22:50.000Z | 2021-07-24T17:22:50.000Z | Incident-Response/Tools/cyphon/cyphon/engines/elasticsearch/results.py | sn0b4ll/Incident-Playbook | cf519f58fcd4255674662b3620ea97c1091c1efb | [
"MIT"
] | 2 | 2022-02-28T03:40:31.000Z | 2022-02-28T03:40:52.000Z | Incident-Response/Tools/cyphon/cyphon/engines/elasticsearch/results.py | sn0b4ll/Incident-Playbook | cf519f58fcd4255674662b3620ea97c1091c1efb | [
"MIT"
] | 2 | 2022-02-25T08:34:51.000Z | 2022-03-16T17:29:44.000Z | # -*- coding: utf-8 -*-
# Copyright 2017-2019 ControlScan, Inc.
#
# This file is part of Cyphon Engine.
#
# Cyphon Engine is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, version 3 of the License.
#
# Cyphon En... | 27.142857 | 77 | 0.604135 |
9ace7246eb18ab3d18bfccb6112d2053e208e67b | 31,008 | py | Python | Cuba/covid19_processing.py | ypriverol/COVID19 | 7e8ab018f576ef7b67eee4a1a0114dd06c7a82ee | [
"CC0-1.0"
] | 1 | 2020-03-31T00:23:01.000Z | 2020-03-31T00:23:01.000Z | Cuba/covid19_processing.py | ypriverol/COVID19 | 7e8ab018f576ef7b67eee4a1a0114dd06c7a82ee | [
"CC0-1.0"
] | null | null | null | Cuba/covid19_processing.py | ypriverol/COVID19 | 7e8ab018f576ef7b67eee4a1a0114dd06c7a82ee | [
"CC0-1.0"
] | 2 | 2020-03-31T01:21:10.000Z | 2020-03-31T20:50:11.000Z | from covid19_util import *
from matplotlib import dates as mdates
import pandas as pd
import requests
import scipy.optimize
import scipy.stats
from io import StringIO
import datetime
import geonamescache
class Covid19Processing:
def __init__(self):
self.dataframes = {}
gc = geonamescache.Geonames... | 51.08402 | 162 | 0.568982 |
f1344a2b3883e50b8e0dde0c7f57e264f2d2c2a5 | 75 | py | Python | futurecashflow/__init__.py | maka89/FutureCashFlow | a240f8efd973854f02394338c390fb7c3432437b | [
"MIT"
] | 1 | 2022-01-11T16:05:20.000Z | 2022-01-11T16:05:20.000Z | futurecashflow/__init__.py | maka89/FutureCashFlow | a240f8efd973854f02394338c390fb7c3432437b | [
"MIT"
] | null | null | null | futurecashflow/__init__.py | maka89/FutureCashFlow | a240f8efd973854f02394338c390fb7c3432437b | [
"MIT"
] | null | null | null | from .core_layers import *
from .meta_layers import *
from .model import *
| 18.75 | 26 | 0.76 |
420e3996425093c8590924e2ef792dbab2cb2b13 | 3,848 | py | Python | samples/deepbench/conv_overhead_caffe2.py | khoaideptrai/deep500 | 0953038f64bc73c8d41d01796e07d3a23ca97822 | [
"BSD-3-Clause"
] | 90 | 2019-01-02T22:49:08.000Z | 2022-02-17T21:11:38.000Z | samples/deepbench/conv_overhead_caffe2.py | khoaideptrai/deep500 | 0953038f64bc73c8d41d01796e07d3a23ca97822 | [
"BSD-3-Clause"
] | 4 | 2019-02-14T16:19:06.000Z | 2022-01-11T17:54:42.000Z | samples/deepbench/conv_overhead_caffe2.py | khoaideptrai/deep500 | 0953038f64bc73c8d41d01796e07d3a23ca97822 | [
"BSD-3-Clause"
] | 24 | 2019-01-09T18:09:44.000Z | 2022-01-10T13:04:42.000Z | import time
import numpy as np
from caffe2.proto import caffe2_pb2
from caffe2.python import workspace, core, model_helper, utils, brew
import deepbench
AVG_OVER = 100
RUNS = 30
device_option = core.DeviceOption(caffe2_pb2.CUDA) # device = core.DeviceOption(caffe2_pb2.CPU)
print('############ Convolution ###########... | 38.48 | 142 | 0.543139 |
6a26cd48a13e381dc99dfa88325324cdadd050da | 1,346 | py | Python | perceptron/save_load.py | KSpenko/perceptron | d02f6cb1e9d024156e6db2291a448ccfefaf8219 | [
"MIT"
] | null | null | null | perceptron/save_load.py | KSpenko/perceptron | d02f6cb1e9d024156e6db2291a448ccfefaf8219 | [
"MIT"
] | null | null | null | perceptron/save_load.py | KSpenko/perceptron | d02f6cb1e9d024156e6db2291a448ccfefaf8219 | [
"MIT"
] | 1 | 2021-02-25T22:29:25.000Z | 2021-02-25T22:29:25.000Z | import xlsxwriter
import openpyxl
import numpy as np
from perceptron import Perceptron
def save_model(model, file_name):
""" save model weights and biases in excel format """
workbook = xlsxwriter.Workbook(file_name)
for i in range(model.nLayers-1):
worksheet = workbook.add_worksheet("Weights "+str(i))
for j ... | 32.047619 | 73 | 0.700594 |
df91e15839d7cb5393f83e1989d3d022e989dea7 | 8,983 | py | Python | scripts/filter/gather_filtering_stats.py | mahajrod/MAVR | 4db74dff7376a2ffe4426db720b241de9198f329 | [
"MIT"
] | 10 | 2015-04-28T14:15:04.000Z | 2021-03-15T00:07:38.000Z | scripts/filter/gather_filtering_stats.py | mahajrod/MAVR | 4db74dff7376a2ffe4426db720b241de9198f329 | [
"MIT"
] | null | null | null | scripts/filter/gather_filtering_stats.py | mahajrod/MAVR | 4db74dff7376a2ffe4426db720b241de9198f329 | [
"MIT"
] | 6 | 2017-03-16T22:38:41.000Z | 2021-08-11T00:22:52.000Z | #!/usr/bin/env python
__author__ = 'Sergei F. Kliver'
import os
import argparse
import numpy as np
from RouToolPa.GeneralRoutines import FileRoutines
parser = argparse.ArgumentParser()
parser.add_argument("-d", "--sample_directory", action="store", dest="samples_dir", required=True,
type=lambda s:... | 52.841176 | 127 | 0.616275 |
66435ec65114e3ff5c04111d80b01674391bba8c | 3,249 | py | Python | bopt/test_problems/Exeter_CFD_Problems/pitzdaily.py | georgedeath/bomean | 0dad35e0d584cf7c46c9a8cb0445f225875cfa86 | [
"MIT"
] | 2 | 2020-05-19T15:48:37.000Z | 2021-08-16T10:41:49.000Z | bopt/test_problems/Exeter_CFD_Problems/pitzdaily.py | georgedeath/bomean | 0dad35e0d584cf7c46c9a8cb0445f225875cfa86 | [
"MIT"
] | null | null | null | bopt/test_problems/Exeter_CFD_Problems/pitzdaily.py | georgedeath/bomean | 0dad35e0d584cf7c46c9a8cb0445f225875cfa86 | [
"MIT"
] | null | null | null | try:
from data.SnappyHexOptimise import BasicPitzDailyRun
except:
from .data.SnappyHexOptimise import BasicPitzDailyRun
try:
from interfaces import ControlPolygonInterface
except:
from .interfaces import ControlPolygonInterface
try:
from base_class import Problem
except:
from .base_class import ... | 39.144578 | 102 | 0.658972 |
5c8d4bfd561cff4b101ecad0b2bc21af1525c582 | 376 | py | Python | server/api/services/__init__.py | NUS-CS-MComp/cs-cloud-computing-music-personality | 35cc926bef83fb8be3c6af680862343a67cd6e1c | [
"Apache-2.0"
] | 2 | 2021-07-13T07:57:48.000Z | 2021-11-18T08:20:38.000Z | server/api/services/__init__.py | NUS-CS-MComp/cs-cloud-computing-music-personality | 35cc926bef83fb8be3c6af680862343a67cd6e1c | [
"Apache-2.0"
] | null | null | null | server/api/services/__init__.py | NUS-CS-MComp/cs-cloud-computing-music-personality | 35cc926bef83fb8be3c6af680862343a67cd6e1c | [
"Apache-2.0"
] | null | null | null | from .facebook import FacebookService
from .reddit import RedditService
from .spotify import SpotifyService
from .twitter import TwitterService
from .ibm_watson import IBMWatsonService
from .sagemaker import SagamakerService
__all__ = [
"FacebookService",
"RedditService",
"SpotifyService",
"TwitterServ... | 23.5 | 40 | 0.771277 |
b6c2e076bc3e25b5b0ec3450fd55a4aed0095c6f | 437 | py | Python | example_project/example_project/urls.py | holgerd77/django-public-project | 0d5684dee9567fe1650ecad6413dd9aef71a8ec2 | [
"BSD-3-Clause"
] | 13 | 2015-08-27T08:13:47.000Z | 2021-11-08T11:20:29.000Z | example_project/example_project/urls.py | holgerd77/django-public-project | 0d5684dee9567fe1650ecad6413dd9aef71a8ec2 | [
"BSD-3-Clause"
] | null | null | null | example_project/example_project/urls.py | holgerd77/django-public-project | 0d5684dee9567fe1650ecad6413dd9aef71a8ec2 | [
"BSD-3-Clause"
] | null | null | null | from django.conf import settings
from django.conf.urls import include, url
from django.contrib import admin
admin.autodiscover()
import django.views
from public_project.urls import urlpatterns
urlpatterns += [
url(r'^admin/', include(admin.site.urls)),
]
if settings.DEBUG:
urlpatterns += [
url(r'^m... | 21.85 | 65 | 0.677346 |
3f7dd5e4e73dd0f6aaabfda26d0e716397343ac1 | 606 | py | Python | tests/test_plot.py | resistics/resistics | cba60747803b6c582eaaf1a670a7f455f5724ebd | [
"MIT"
] | 38 | 2019-03-18T09:06:02.000Z | 2022-02-18T15:38:54.000Z | tests/test_plot.py | resistics/resistics | cba60747803b6c582eaaf1a670a7f455f5724ebd | [
"MIT"
] | 19 | 2019-08-23T03:57:37.000Z | 2022-03-12T01:07:09.000Z | tests/test_plot.py | resistics/resistics | cba60747803b6c582eaaf1a670a7f455f5724ebd | [
"MIT"
] | 8 | 2019-09-26T00:31:57.000Z | 2021-09-04T09:28:15.000Z | import pytest
from typing import List
import numpy as np
@pytest.mark.parametrize(
"y, max_pts, x_expected, y_expected",
[
([0, 1, 3, 4, 2, 3, 4, 3, 4, 5, 5, 5], 5, [0, 3, 4, 9, 11], [0, 4, 2, 5, 5]),
],
)
def test_lttb_downsample(
y: List, max_pts: int, x_expected: List, y_expected: List
) ->... | 26.347826 | 85 | 0.632013 |
af7faf9d477a2a79f8072443ae2bd8fdd83da94a | 20,407 | py | Python | sympy/ntheory/tests/test_ntheory.py | Timeroot/sympy | f95bf4bbc548d326f4643d22faec32aca7880187 | [
"BSD-3-Clause"
] | null | null | null | sympy/ntheory/tests/test_ntheory.py | Timeroot/sympy | f95bf4bbc548d326f4643d22faec32aca7880187 | [
"BSD-3-Clause"
] | null | null | null | sympy/ntheory/tests/test_ntheory.py | Timeroot/sympy | f95bf4bbc548d326f4643d22faec32aca7880187 | [
"BSD-3-Clause"
] | null | null | null | from sympy import Sieve, binomial_coefficients, binomial_coefficients_list, \
multinomial_coefficients, Mul, S, Pow
from sympy import factorial as fac
from sympy.ntheory import isprime, n_order, is_primitive_root, \
is_quad_residue, legendre_symbol, jacobi_symbol, npartitions, totient, \
factorint, pri... | 38.287054 | 89 | 0.59803 |
a1610af0678557c58919054704ed03866fd3419a | 2,465 | py | Python | tests/basics/Importing.py | jayvdb/Nuitka | 0ff702e065b1b53231ba0cae451385a3da0fe766 | [
"Apache-2.0"
] | 1 | 2019-03-31T09:56:11.000Z | 2019-03-31T09:56:11.000Z | tests/basics/Importing.py | jayvdb/Nuitka | 0ff702e065b1b53231ba0cae451385a3da0fe766 | [
"Apache-2.0"
] | null | null | null | tests/basics/Importing.py | jayvdb/Nuitka | 0ff702e065b1b53231ba0cae451385a3da0fe766 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019, Kay Hayen, mailto:kay.hayen@gmail.com
#
# Python tests originally created or extracted from other peoples work. The
# parts were too small to be protected.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the ... | 23.932039 | 79 | 0.688844 |
3c3b1de536652435f887e53d20b7282f96c09e19 | 5,098 | py | Python | four.py | gto76/n-in-the-row | 18291a2a9fee1eb47153cbef9bd4764ed9615d59 | [
"MIT"
] | 1 | 2021-05-10T15:18:22.000Z | 2021-05-10T15:18:22.000Z | four.py | gto76/n-in-the-row | 18291a2a9fee1eb47153cbef9bd4764ed9615d59 | [
"MIT"
] | null | null | null | four.py | gto76/n-in-the-row | 18291a2a9fee1eb47153cbef9bd4764ed9615d59 | [
"MIT"
] | 2 | 2019-02-19T12:02:29.000Z | 2019-02-21T10:50:53.000Z | #!/usr/bin/python3
#
# Usage: four.py
#
from enum import Enum
import copy
SIZE = 6
GOAL = 4
SEARCH_DEPTH = 5
PRUNE_FACTOR = 0.1
class D(Enum):
HOR = 0
VER = 1
DIA = 2
DIA2 = 3
class F(Enum):
E = 0
X = 1
O = 2
class Board:
def __init__(self, size):
self.brd = [size*[F.... | 23.934272 | 79 | 0.549235 |
bca481f94a931fb4fc4b00567b9402e7f78ad0d8 | 3,084 | py | Python | simba/similarities/mcsg.py | babylonhealth/simba | b0124281c0efd59b088520e28add36d1038bce3b | [
"Apache-2.0"
] | 18 | 2019-11-05T10:30:33.000Z | 2021-06-04T00:57:38.000Z | simba/similarities/mcsg.py | babylonhealth/simba | b0124281c0efd59b088520e28add36d1038bce3b | [
"Apache-2.0"
] | null | null | null | simba/similarities/mcsg.py | babylonhealth/simba | b0124281c0efd59b088520e28add36d1038bce3b | [
"Apache-2.0"
] | 2 | 2020-06-27T17:44:27.000Z | 2021-01-19T00:32:18.000Z | import numpy as np
from ..utils.gaussian import aic_spherical, tic, tic_spherical
from ..utils.vmf import vmf_aic, vmf_tic
def von_mises_correction_aic(Dnew, Dc):
"""
:param Dnew[nxd matrix]: set 1
:param Dc[mxd matrix]: set 2
:return [float]: semantic similarity measure
(approximation of the... | 24.870968 | 62 | 0.613813 |
222d8d2eb1e36538c12a7512b906fcdcb63a8436 | 2,293 | py | Python | dummydf/sql/group.py | moriyoshi/dummydf | 39d82f0022ea9d072ce56724f16bf363a37b1bbf | [
"MIT"
] | null | null | null | dummydf/sql/group.py | moriyoshi/dummydf | 39d82f0022ea9d072ce56724f16bf363a37b1bbf | [
"MIT"
] | null | null | null | dummydf/sql/group.py | moriyoshi/dummydf | 39d82f0022ea9d072ce56724f16bf363a37b1bbf | [
"MIT"
] | null | null | null | # coding: utf-8
#
# Copyright 2018 Moriyoshi Koizumi
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, me... | 38.216667 | 80 | 0.606629 |
d03de6e76e96ec69f66ea9325eea852d42d3d278 | 4,233 | py | Python | master_thesis/generative_models/wgan/wgan_utils.py | HitLuca/Master-thesis | 359d1af662af70c26d1c6babfddf266a75893043 | [
"MIT"
] | 9 | 2018-11-27T17:42:53.000Z | 2021-04-22T08:29:52.000Z | master_thesis/generative_models/wgan/wgan_utils.py | HitLuca/Master-thesis | 359d1af662af70c26d1c6babfddf266a75893043 | [
"MIT"
] | 2 | 2019-07-26T14:34:31.000Z | 2019-07-26T14:37:32.000Z | master_thesis/generative_models/wgan/wgan_utils.py | jeykang/TimeSeries-WGAN-TF2 | 81a8d2b5b229530f3e39b1b1d9a2328ea7b819ef | [
"MIT"
] | 5 | 2018-10-26T17:20:41.000Z | 2021-01-15T05:09:46.000Z | import keras
from keras import Model
from keras.layers import *
from keras.optimizers import RMSprop
from generative_models import utils
def build_generator(latent_dim, timesteps):
generator_inputs = Input((latent_dim,))
generated = generator_inputs
generated = Dense(15)(generated)
generated = utils... | 36.491379 | 109 | 0.733759 |
527064f97f4234b096bc6c6c6416cd1e406facf8 | 630 | py | Python | manage.py | mohsenamoon1160417237/recipe-API | 8eebb20b6b56cc76670985beb89de4556db94a28 | [
"MIT"
] | null | null | null | manage.py | mohsenamoon1160417237/recipe-API | 8eebb20b6b56cc76670985beb89de4556db94a28 | [
"MIT"
] | 9 | 2019-12-04T23:09:28.000Z | 2022-02-10T09:27:36.000Z | manage.py | BuilderTron/recipe_app | 5a06244d2677a08104df72624008aa8d2f296da8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'recipe_app.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise Imp... | 28.636364 | 74 | 0.684127 |
8f72224ba525e2ff9036edcc67c6b5c70e3f4e72 | 1,745 | py | Python | core/src/autogluon/core/features/types.py | songqiang/autogluon | 529d7cc65fad411622072aa0349215a15e1e901c | [
"Apache-2.0"
] | 8 | 2021-05-17T08:02:05.000Z | 2022-03-05T13:03:17.000Z | core/src/autogluon/core/features/types.py | songqiang/autogluon | 529d7cc65fad411622072aa0349215a15e1e901c | [
"Apache-2.0"
] | null | null | null | core/src/autogluon/core/features/types.py | songqiang/autogluon | 529d7cc65fad411622072aa0349215a15e1e901c | [
"Apache-2.0"
] | 2 | 2021-01-04T21:38:53.000Z | 2021-12-10T06:29:54.000Z |
# Raw types: Raw data type information grouped into families.
# For example: uint8, int8, int16, int32, and int64 features all map to 'int'
R_INT = 'int'
R_FLOAT = 'float'
R_OBJECT = 'object'
R_CATEGORY = 'category'
R_DATETIME = 'datetime'
R_BOOL = 'bool' # TODO: R_BOOL/R_BOOLEAN?
# TODO: R_FLOAT_SPARSE/R_INT_SPARSE/... | 43.625 | 146 | 0.781662 |
b5bd00b37a33a29065853b426b08c21061df3775 | 1,235 | py | Python | tests/utils.py | nkato/psd-tools2 | 58838cc0a0274ca11507906f0b39d5faf42f445b | [
"MIT"
] | null | null | null | tests/utils.py | nkato/psd-tools2 | 58838cc0a0274ca11507906f0b39d5faf42f445b | [
"MIT"
] | null | null | null | tests/utils.py | nkato/psd-tools2 | 58838cc0a0274ca11507906f0b39d5faf42f445b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals
import os
import psd_tools.reader
import psd_tools.decoder
DATA_PATH = os.path.join(
os.path.abspath(os.path.dirname(__file__)), 'psd_files')
def full_name(filename):
return os.path.join(DATA_PATH, filename)
def load_psd(filen... | 26.847826 | 78 | 0.676923 |
0858df061a0e808578a02cf05a80a3a237545502 | 3,849 | py | Python | 3DMatch/trainset_d3feat.py | dahliau/3D-PointCloud | 863b8fa27f2c4f350ebcbbc7a44576d662e8bfe7 | [
"IJG"
] | 691 | 2020-09-17T04:47:31.000Z | 2022-03-31T02:13:42.000Z | 3DMatch/trainset_d3feat.py | zhulf0804/Segmentation-Papers | 62248f9d1e820ad0a8d23a53e96d21028b6080c3 | [
"IJG"
] | 3 | 2021-12-18T07:58:02.000Z | 2022-03-14T01:40:49.000Z | 3DMatch/trainset_d3feat.py | zhulf0804/Segmentation-Papers | 62248f9d1e820ad0a8d23a53e96d21028b6080c3 | [
"IJG"
] | 99 | 2020-09-24T07:06:53.000Z | 2022-03-29T06:05:50.000Z | import os
import numpy as np
import open3d as o3d
import pickle
import random
def vis_npys(npys):
pcds = []
colors = [[1, 0, 0], [0, 1, 0], [0, 0, 1]]
for i, npy in enumerate(npys):
pcd = o3d.geometry.PointCloud()
pcd.points = o3d.utility.Vector3dVector(npy)
if i < 3:
c... | 32.897436 | 121 | 0.633151 |
6a93a360c6d14d5678b8652336686c341a79c635 | 327 | py | Python | test_area/write-a-function.py | umiphos/python-exercises | a834fb63d3e447e3df096543c0e1850ecc020ffe | [
"Apache-2.0"
] | null | null | null | test_area/write-a-function.py | umiphos/python-exercises | a834fb63d3e447e3df096543c0e1850ecc020ffe | [
"Apache-2.0"
] | null | null | null | test_area/write-a-function.py | umiphos/python-exercises | a834fb63d3e447e3df096543c0e1850ecc020ffe | [
"Apache-2.0"
] | null | null | null | # https://www.hackerrank.com/challenges/write-a-function
def is_leap(year):
#years=[2100,2400]
#for i in range(len(years)):
# leap = (years[i]%4==0) and (years[i]%400==0 or years[i]%100!=0)
# print leap
# Write your logic here
leap = (year%4==0) and (year%400==0 or year%100!=0)
retur... | 27.25 | 72 | 0.599388 |
832d3155a910396c13881bf829f8f818ca2cbd55 | 7,050 | py | Python | Ansible-AWS-Provisioning/collections/ansible_collections/community/aws/plugins/modules/ec2_ami_copy.py | ginigangadharan/ansible-real-life | 897c2fc0d05babbb540768b336b6ad399dad5bfa | [
"MIT"
] | 22 | 2021-07-16T08:11:22.000Z | 2022-03-31T07:15:34.000Z | Ansible-AWS-Provisioning/collections/ansible_collections/community/aws/plugins/modules/ec2_ami_copy.py | premsagar0228/ansible-real-life | 1a51193b833ab6ad320100472333b9ffb0da39d4 | [
"MIT"
] | null | null | null | Ansible-AWS-Provisioning/collections/ansible_collections/community/aws/plugins/modules/ec2_ami_copy.py | premsagar0228/ansible-real-life | 1a51193b833ab6ad320100472333b9ffb0da39d4 | [
"MIT"
] | 39 | 2021-07-05T02:31:42.000Z | 2022-03-31T02:46:03.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
# This file is part of Ansible
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
... | 31.473214 | 124 | 0.65844 |
83bbc77cfd078076cbfd8c5747ba2b325a848b8a | 7,488 | py | Python | src/smirnoff_hack.py | bieniekmateusz/forcebalance | 593791866e622ab4eae23ce29a0bed27499a118d | [
"BSD-3-Clause"
] | null | null | null | src/smirnoff_hack.py | bieniekmateusz/forcebalance | 593791866e622ab4eae23ce29a0bed27499a118d | [
"BSD-3-Clause"
] | 6 | 2021-07-20T00:07:12.000Z | 2022-01-14T16:39:25.000Z | src/smirnoff_hack.py | bieniekmateusz/forcebalance | 593791866e622ab4eae23ce29a0bed27499a118d | [
"BSD-3-Clause"
] | null | null | null | ## HACK: Improve the performance of the openff forcefield.create_openmm_system()
from openff.toolkit.utils.toolkits import OpenEyeToolkitWrapper, RDKitToolkitWrapper, AmberToolsToolkitWrapper
from openff.toolkit.topology.molecule import Molecule
# time based on total 540s evaluation
# cache for OE find_smarts_matches ... | 61.884298 | 195 | 0.840812 |
b41c118beace63fb535b9fe2d17e4a6a3494d68d | 10,804 | py | Python | model/config.py | qkaren/converse_reading_cmr | d06d981be12930cff8458e2b1b81be4f5df3a329 | [
"MIT"
] | 87 | 2019-06-07T18:16:30.000Z | 2021-11-27T08:18:45.000Z | model/config.py | qkaren/converse_reading_cmr | d06d981be12930cff8458e2b1b81be4f5df3a329 | [
"MIT"
] | 11 | 2019-06-19T20:53:27.000Z | 2021-05-07T01:05:01.000Z | model/config.py | qkaren/converse_reading_cmr | d06d981be12930cff8458e2b1b81be4f5df3a329 | [
"MIT"
] | 17 | 2019-06-08T01:50:23.000Z | 2022-02-16T07:12:15.000Z |
# /usr/bin/env python3
import argparse
import multiprocessing
import torch
"""
Configuration file
"""
def model_config(parser):
parser.add_argument('--vocab_size', type=int, default=0)
parser.add_argument('--wemb_dim', type=int, default=300)
parser.add_argument('--covec_on', action='stor... | 55.405128 | 114 | 0.687153 |
c52c1009a629571bb04630939f016a8fea775010 | 2,405 | py | Python | python/IECore/CapturingMessageHandler.py | bradleyhenke/cortex | f8245cc6c9464b1de9e6c6e57068248198e63de0 | [
"BSD-3-Clause"
] | 386 | 2015-01-02T11:10:43.000Z | 2022-03-10T15:12:20.000Z | python/IECore/CapturingMessageHandler.py | bradleyhenke/cortex | f8245cc6c9464b1de9e6c6e57068248198e63de0 | [
"BSD-3-Clause"
] | 484 | 2015-01-09T18:28:06.000Z | 2022-03-31T16:02:04.000Z | python/IECore/CapturingMessageHandler.py | bradleyhenke/cortex | f8245cc6c9464b1de9e6c6e57068248198e63de0 | [
"BSD-3-Clause"
] | 99 | 2015-01-28T23:18:04.000Z | 2022-03-27T00:59:39.000Z | ##########################################################################
#
# Copyright (c) 2008, Image Engine Design 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:
#
# * Redistribu... | 40.762712 | 78 | 0.703534 |
9d637d0ca591a9cdae3ff1f5ab2445741b710389 | 874 | py | Python | test/pytest/Service/test_services.py | michellab/BioSimSpaceCloud | 456b146a2131565e354352872d3e75a08c3652d1 | [
"Apache-2.0"
] | 2 | 2019-02-15T16:04:19.000Z | 2019-02-19T15:42:27.000Z | test/pytest/Service/test_services.py | michellab/BioSimSpaceCloud | 456b146a2131565e354352872d3e75a08c3652d1 | [
"Apache-2.0"
] | null | null | null | test/pytest/Service/test_services.py | michellab/BioSimSpaceCloud | 456b146a2131565e354352872d3e75a08c3652d1 | [
"Apache-2.0"
] | null | null | null |
import pytest
from Acquire.Service import get_remote_service_info
skip_slow = True
@pytest.mark.slow
def test_login_to_service():
if skip_slow:
return
root_url = "http://130.61.60.88:8080/t"
identity_service_url = "%s/identity" % root_url
access_service_url = "%s/access" % root_url
ac... | 24.277778 | 76 | 0.741419 |
2bde139c294b4f2f55cb33466245f210a3e83645 | 17,271 | py | Python | py2neo/admin/install.py | bwmetz/py2neo | 93653a2428693cf29ff65647b703c60d763e1808 | [
"Apache-2.0"
] | null | null | null | py2neo/admin/install.py | bwmetz/py2neo | 93653a2428693cf29ff65647b703c60d763e1808 | [
"Apache-2.0"
] | null | null | null | py2neo/admin/install.py | bwmetz/py2neo | 93653a2428693cf29ff65647b703c60d763e1808 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# Copyright 2011-2018, Nigel Small
#
# 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... | 33.086207 | 99 | 0.566093 |
b5f9c9aca52d6b5f8329bf18df3bb3a0460b9b6f | 3,584 | py | Python | mylinebot/mylinebot/settings.py | tom-lin1128/stocklinebot | e2873e8d21fb4cb98b8776a0fc394b05f228ba04 | [
"MIT"
] | null | null | null | mylinebot/mylinebot/settings.py | tom-lin1128/stocklinebot | e2873e8d21fb4cb98b8776a0fc394b05f228ba04 | [
"MIT"
] | null | null | null | mylinebot/mylinebot/settings.py | tom-lin1128/stocklinebot | e2873e8d21fb4cb98b8776a0fc394b05f228ba04 | [
"MIT"
] | null | null | null | """
Django settings for mylinebot project.
Generated by 'django-admin startproject' using Django 3.2.6.
For more information on this file, see
https://docs.djangoproject.com/en/3.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.2/ref/settings/
"""
from pathl... | 27.358779 | 202 | 0.717355 |
a33898b2e08b6ff1766e0bd884c475d52abc4998 | 28,490 | py | Python | scripts/cascades/cluster_cascades/sensory_cascades_integration_clusters.py | mwinding/connectome_analysis | dbc747290891805863c9481921d8080dc2043d21 | [
"MIT"
] | 1 | 2021-06-10T05:48:16.000Z | 2021-06-10T05:48:16.000Z | cascades/cluster_cascades/sensory_cascades_integration_clusters.py | mwinding/connectome_tools | 0392f6b1e924194299ea7760d8386eb01f3371a3 | [
"MIT"
] | 2 | 2022-01-21T11:48:45.000Z | 2022-01-21T11:48:45.000Z | scripts/cascades/cluster_cascades/sensory_cascades_integration_clusters.py | mwinding/connectome_analysis | dbc747290891805863c9481921d8080dc2043d21 | [
"MIT"
] | 1 | 2022-02-02T15:39:52.000Z | 2022-02-02T15:39:52.000Z | #%%
import os
import sys
try:
os.chdir('/Volumes/GoogleDrive/My Drive/python_code/connectome_tools/')
print(os.getcwd())
except:
pass
# %%
import sys
sys.path.append('/Volumes/GoogleDrive/My Drive/python_code/maggot_models/')
sys.path.append('/Volumes/GoogleDrive/My Drive/python_code/connectome_tools/')
fr... | 40.816619 | 161 | 0.726079 |
cffb3cc192da039cb574d4e5f9d4ed0d81b383b5 | 1,427 | py | Python | app/recipe/serializers.py | demirtaserdem/django-rest-adv | a8259fa4308c71dcc80456d9f0266fd40c22480c | [
"MIT"
] | null | null | null | app/recipe/serializers.py | demirtaserdem/django-rest-adv | a8259fa4308c71dcc80456d9f0266fd40c22480c | [
"MIT"
] | null | null | null | app/recipe/serializers.py | demirtaserdem/django-rest-adv | a8259fa4308c71dcc80456d9f0266fd40c22480c | [
"MIT"
] | null | null | null | from rest_framework import serializers
from core.models import Tag, Ingredient, Recipe
class TagSerializer(serializers.ModelSerializer):
"""Serializer for tag objects"""
class Meta:
model = Tag
fields = ('id', 'name')
read_only_fields = ('id',)
class IngredientSerializer(serializers.... | 26.924528 | 65 | 0.641205 |
3f84670f98832589ea47852a7d369f54dc76c8ed | 566 | py | Python | rcsystem/migrations/0040_auto_20200831_2100.py | perought/recommender-web-site | ce62c71ca86756cc2810966cacd0e4597918c7dd | [
"MIT"
] | null | null | null | rcsystem/migrations/0040_auto_20200831_2100.py | perought/recommender-web-site | ce62c71ca86756cc2810966cacd0e4597918c7dd | [
"MIT"
] | null | null | null | rcsystem/migrations/0040_auto_20200831_2100.py | perought/recommender-web-site | ce62c71ca86756cc2810966cacd0e4597918c7dd | [
"MIT"
] | null | null | null | # Generated by Django 3.0.3 on 2020-08-31 18:00
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('rcsystem', '0039_auto_20200831_2056'),
]
operations = [
migrations.AlterField(
model_name='moviedatabase',
name='vot... | 23.583333 | 51 | 0.59364 |
cba1e2ab5d29278fc05617e07688fb57047860d0 | 196 | py | Python | touch_time_test.py | goldang01/Python_Example | f0de3384278762d7935885ca0bc08303346ad5a1 | [
"MIT"
] | null | null | null | touch_time_test.py | goldang01/Python_Example | f0de3384278762d7935885ca0bc08303346ad5a1 | [
"MIT"
] | null | null | null | touch_time_test.py | goldang01/Python_Example | f0de3384278762d7935885ca0bc08303346ad5a1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import datetime
import pandas as pd
now = datetime.datetime.now()
df = pd.DataFrame({
"time":[now]
})
df.to_csv("time_test.csv", mode = "a")
| 13.066667 | 38 | 0.637755 |
119f82b56d2ea87640cd03670ca01ed078091aff | 367 | py | Python | tests/test_reddit.py | bwlodarski277/reddit-async | c7a54c539eb1b71dc2160e08294ca7f18d66fe32 | [
"MIT"
] | null | null | null | tests/test_reddit.py | bwlodarski277/reddit-async | c7a54c539eb1b71dc2160e08294ca7f18d66fe32 | [
"MIT"
] | null | null | null | tests/test_reddit.py | bwlodarski277/reddit-async | c7a54c539eb1b71dc2160e08294ca7f18d66fe32 | [
"MIT"
] | null | null | null | import pytest
from core.reddit import Reddit
class TestInit:
@pytest.mark.asyncio
async def test_invalid_input(self):
with pytest.raises(ValueError):
reddit = await Reddit.init('', '', '', '')
@pytest.mark.asyncio
async def test_valid_input(self):
reddit = await Reddit.in... | 22.9375 | 54 | 0.645777 |
468de0a71f818fd7009b36c60d3996346d2a5a68 | 1,717 | py | Python | wap_mms_message/__init__.py | whardier/wap-mms-message | 8c217d9e05ff0338f3cbd8ab910737ea9258a014 | [
"MIT"
] | null | null | null | wap_mms_message/__init__.py | whardier/wap-mms-message | 8c217d9e05ff0338f3cbd8ab910737ea9258a014 | [
"MIT"
] | null | null | null | wap_mms_message/__init__.py | whardier/wap-mms-message | 8c217d9e05ff0338f3cbd8ab910737ea9258a014 | [
"MIT"
] | null | null | null | # The MIT License (MIT)
# Copyright (c) 2020 Shane R. Spencer <spencersr@gmail.com>
# 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 rig... | 41.878049 | 79 | 0.771112 |
18e8d395a3da8868f071c5ed0749270bf3c5420b | 5,712 | py | Python | Agent/Agent.py | OctThe16th/BetterTrainingDataMnist_RL_GAN | fcc75c9ddf768d7c66c9fade3e86973a4c828624 | [
"MIT"
] | null | null | null | Agent/Agent.py | OctThe16th/BetterTrainingDataMnist_RL_GAN | fcc75c9ddf768d7c66c9fade3e86973a4c828624 | [
"MIT"
] | null | null | null | Agent/Agent.py | OctThe16th/BetterTrainingDataMnist_RL_GAN | fcc75c9ddf768d7c66c9fade3e86973a4c828624 | [
"MIT"
] | null | null | null | import os
import numba as nb
import numpy as np
import math
import keras.backend as K
from PriorityExperienceReplay.PriorityExperienceReplay import Experience
import tensorflow as tf
from Actor import ActorNetwork
from Critic import CriticNetwork
from Environnement.Environnement import Environnement
os.environ['T... | 38.33557 | 142 | 0.619398 |
370db6095ef8c70f32ea1c65e37c09fba4546d28 | 1,701 | py | Python | tests/base.py | vtrbtf/http-prompt | b814f6a36a0c724ce60a21f52ef5c71708d39395 | [
"MIT"
] | null | null | null | tests/base.py | vtrbtf/http-prompt | b814f6a36a0c724ce60a21f52ef5c71708d39395 | [
"MIT"
] | null | null | null | tests/base.py | vtrbtf/http-prompt | b814f6a36a0c724ce60a21f52ef5c71708d39395 | [
"MIT"
] | 1 | 2018-05-03T18:14:01.000Z | 2018-05-03T18:14:01.000Z | import os
import shutil
import sys
import tempfile
import unittest
import six
class TempAppDirTestCase(unittest.TestCase):
"""Set up temporary app data and config directories before every test
method, and delete them afterwards.
"""
def setUp(self):
# Create a temp dir that will contain data ... | 29.842105 | 79 | 0.579071 |
cfd7f5a623a3f00ebf0656522e04773827883c1c | 9,500 | py | Python | utils/utils_bbox.py | bubbliiiing/faster-rcnn-tf2 | c3982016c7c209a3fa71a30facbe53396e6340ee | [
"MIT"
] | 133 | 2020-11-23T05:43:08.000Z | 2022-03-30T08:10:50.000Z | utils/utils_bbox.py | Whale1024/faster-rcnn-tf2 | 6343860e5d44e8441fa736620762e4c256b27083 | [
"MIT"
] | 15 | 2020-12-01T12:07:14.000Z | 2021-09-30T02:27:37.000Z | utils/utils_bbox.py | Whale1024/faster-rcnn-tf2 | 6343860e5d44e8441fa736620762e4c256b27083 | [
"MIT"
] | 40 | 2020-11-24T13:01:41.000Z | 2022-03-30T08:10:53.000Z | import math
import numpy as np
import tensorflow as tf
import tensorflow.keras.backend as K
class BBoxUtility(object):
def __init__(self, num_classes, rpn_pre_boxes = 12000, rpn_nms = 0.7, nms_iou = 0.3, min_k = 300):
#---------------------------------------------------#
# 种类数量
... | 48.969072 | 150 | 0.380105 |
dda6d852e5b6190979d444e0ea78a2263892ef33 | 20,605 | py | Python | tb/test_axis_switch_4x4_64.py | wufubao/verilog-axis | 7c6da337b05e5eea675159798aa979f459d89095 | [
"MIT"
] | 2 | 2018-08-25T03:10:41.000Z | 2018-08-25T22:52:30.000Z | tb/test_axis_switch_4x4_64.py | nqHITSZ/verilog-axis | 7c6da337b05e5eea675159798aa979f459d89095 | [
"MIT"
] | null | null | null | tb/test_axis_switch_4x4_64.py | nqHITSZ/verilog-axis | 7c6da337b05e5eea675159798aa979f459d89095 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""
Copyright (c) 2016-2018 Alex Forencich
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify,... | 33.504065 | 149 | 0.663771 |
77a700343b7a547884d858e3ecd1e416636b7bd3 | 2,012 | py | Python | pyisis/tests/test_parser.py | rodsenra/pyisis | f5815fd096a463902893f87f309f8117b5705621 | [
"MIT"
] | null | null | null | pyisis/tests/test_parser.py | rodsenra/pyisis | f5815fd096a463902893f87f309f8117b5705621 | [
"MIT"
] | null | null | null | pyisis/tests/test_parser.py | rodsenra/pyisis | f5815fd096a463902893f87f309f8117b5705621 | [
"MIT"
] | 2 | 2019-11-08T20:51:54.000Z | 2021-08-17T23:49:48.000Z | # -*- coding: utf-8 -*-
"""
File to test Formatting Language Parser
"""
__created__ = "2008-05-27"
__updated__ = "2008-05-26"
__author__ = "Rodrigo Senra <rsenra@acm.org>"
import tempfile
from pyisis.records import MasterRecord
from pyisis.lexer import PftLexer
from pyisis.parser import PftParser
from pyisis.ast im... | 24.839506 | 91 | 0.668489 |
5d23324bebbb96bcd86062de4dbb3f8f58d2f232 | 40 | py | Python | bot_facebook/views/__init__.py | lariodiniz/BootPlayGame | 1ba40611eb085e2deaff63a36bdb669b594c7c02 | [
"MIT"
] | null | null | null | bot_facebook/views/__init__.py | lariodiniz/BootPlayGame | 1ba40611eb085e2deaff63a36bdb669b594c7c02 | [
"MIT"
] | null | null | null | bot_facebook/views/__init__.py | lariodiniz/BootPlayGame | 1ba40611eb085e2deaff63a36bdb669b594c7c02 | [
"MIT"
] | null | null | null | from .ativa_bot_view import ativaBotView | 40 | 40 | 0.9 |
d6087e3e49d300f1770548713421b41f7906d0a8 | 5,713 | py | Python | arcade/examples/sprite_collect_coins_diff_levels.py | KommentatorForAll/arcade | 88343fe87efc1bd619412261a725a8f04de08fc7 | [
"MIT"
] | null | null | null | arcade/examples/sprite_collect_coins_diff_levels.py | KommentatorForAll/arcade | 88343fe87efc1bd619412261a725a8f04de08fc7 | [
"MIT"
] | null | null | null | arcade/examples/sprite_collect_coins_diff_levels.py | KommentatorForAll/arcade | 88343fe87efc1bd619412261a725a8f04de08fc7 | [
"MIT"
] | null | null | null | """
Sprite Collect Coins with Different Levels
Simple program to show basic sprite usage.
Artwork from https://kenney.nl
If Python and Arcade are installed, this example can be run from the command line with:
python -m arcade.examples.sprite_collect_coins_diff_levels
"""
import random
import arcade
import os
SPRIT... | 28.142857 | 119 | 0.605986 |
135e63503762daca2c8b5e855e2ffd35ebaefde4 | 809 | py | Python | website/cloud_site/twitter_app/urls.py | arshmankhalid/twitter_sentiment_analysis | b67dd3b1dd81b2efd67e1de2d4de289b9987dc28 | [
"MIT"
] | null | null | null | website/cloud_site/twitter_app/urls.py | arshmankhalid/twitter_sentiment_analysis | b67dd3b1dd81b2efd67e1de2d4de289b9987dc28 | [
"MIT"
] | null | null | null | website/cloud_site/twitter_app/urls.py | arshmankhalid/twitter_sentiment_analysis | b67dd3b1dd81b2efd67e1de2d4de289b9987dc28 | [
"MIT"
] | 3 | 2020-05-25T13:38:12.000Z | 2020-05-26T01:30:35.000Z | from django.conf.urls import url
from . import views
app_name = 'twitter_app'
urlpatterns = [
url(r'^$', views.HomeTemplateView.as_view(), name='home_page'),
url(r'^map/$', views.MapTemplateView.as_view(), name='map_page'),
url(r'^team/$', views.TeamTemplateView.as_view(), name='team_page'),
url(r... | 31.115385 | 95 | 0.690977 |
b1b3ba6737fd921cbef7489aa07d0b5c6891f332 | 2,725 | py | Python | mtp_api/apps/credit/management/commands/send_prisoner_credit_notices.py | ministryofjustice/money-to-prisoners-api | 7d86791c24f2cea19dd9ca3f69fad7693c841949 | [
"MIT"
] | 5 | 2016-01-05T12:21:35.000Z | 2020-10-28T17:06:02.000Z | mtp_api/apps/credit/management/commands/send_prisoner_credit_notices.py | ministryofjustice/money-to-prisoners-api | 7d86791c24f2cea19dd9ca3f69fad7693c841949 | [
"MIT"
] | 209 | 2015-06-12T09:39:41.000Z | 2022-03-21T16:01:19.000Z | mtp_api/apps/credit/management/commands/send_prisoner_credit_notices.py | ministryofjustice/money-to-prisoners-api | 7d86791c24f2cea19dd9ca3f69fad7693c841949 | [
"MIT"
] | 1 | 2021-04-11T06:19:23.000Z | 2021-04-11T06:19:23.000Z | import pathlib
import shutil
import tempfile
from django.core.management import BaseCommand, call_command
from mtp_common.tasks import send_email
from credit.management.commands.create_prisoner_credit_notices import parsed_date_or_yesterday
from prison.models import PrisonerCreditNoticeEmail
class Command(BaseComma... | 37.328767 | 99 | 0.64 |
718a082d3ed2e87592944ecbf791edcdfbedd4c7 | 1,551 | py | Python | backend/tasks/utils.py | dbauducco/DistributedReplays | 07e6f4c2bf104e98102b092d8a1a3ce2ac7ab291 | [
"Apache-2.0"
] | 69 | 2018-07-17T19:40:21.000Z | 2022-02-25T14:23:53.000Z | backend/tasks/utils.py | dbauducco/DistributedReplays | 07e6f4c2bf104e98102b092d8a1a3ce2ac7ab291 | [
"Apache-2.0"
] | 335 | 2018-07-25T19:34:55.000Z | 2022-02-26T06:04:32.000Z | backend/tasks/utils.py | dbauducco/DistributedReplays | 07e6f4c2bf104e98102b092d8a1a3ce2ac7ab291 | [
"Apache-2.0"
] | 42 | 2018-07-21T00:04:23.000Z | 2022-02-25T14:23:42.000Z | from backend.database.startup import get_strict_redis
PRIORITY_SEP = '\x06\x16'
DEFAULT_PRIORITY_STEPS = [0, 3, 6, 9]
def make_queue_name_for_pri(queue, pri):
"""Make a queue name for redis
Celery uses PRIORITY_SEP to separate different priorities of tasks into
different queues in Redis. Each queue-prio... | 34.466667 | 79 | 0.681496 |
b81df8793b206a4a3f1ef1db8d3506c983974c4f | 3,485 | py | Python | nussl/separation/factorization/ica.py | ZhaoJY1/nussl | 57aabeabca3b2e75849e1659a522e3c2f77e9172 | [
"MIT"
] | 259 | 2016-10-04T19:21:25.000Z | 2020-04-15T14:39:54.000Z | nussl/separation/factorization/ica.py | titocaco/nussl | af7d0c50e01d107f4ef3305b89eb130d95d0a7cd | [
"MIT"
] | 115 | 2016-10-26T01:58:04.000Z | 2020-04-15T07:53:00.000Z | nussl/separation/factorization/ica.py | titocaco/nussl | af7d0c50e01d107f4ef3305b89eb130d95d0a7cd | [
"MIT"
] | 64 | 2017-04-11T04:10:35.000Z | 2020-04-08T11:23:48.000Z | import copy
import numpy as np
import sklearn
from .. import SeparationBase
from ... import AudioSignal
from ...core import utils
class ICA(SeparationBase):
"""
Separate sources using the Independent Component Analysis, given
observations of the audio scene. nussl's ICA is a wrapper for sci-kit learn's... | 34.166667 | 118 | 0.670301 |
f162f3c0ca3235cf11da6f3280fa78a64d00294d | 98 | py | Python | theme_kit/models/__init__.py | agenterpgmbh/misc-addons | 27e36d119b1e73089a2ebfcd8d4cfc706c8f1f41 | [
"MIT"
] | null | null | null | theme_kit/models/__init__.py | agenterpgmbh/misc-addons | 27e36d119b1e73089a2ebfcd8d4cfc706c8f1f41 | [
"MIT"
] | 1 | 2020-05-03T04:27:29.000Z | 2020-05-03T04:27:29.000Z | theme_kit/models/__init__.py | eneldoserrata/misc-addons | 6f3b94d8a71d603d9ad449f96edfc66385e78080 | [
"MIT"
] | 1 | 2022-02-04T11:27:12.000Z | 2022-02-04T11:27:12.000Z | # License MIT (https://opensource.org/licenses/MIT).
from . import theme
from . import res_config
| 24.5 | 52 | 0.755102 |
f5481bedd0e79aa891329306b3c259a798e235cc | 843 | py | Python | user/emails.py | Ilmanfordinner/registration | d729f9a990d6f63dc29e14c1657dba87c3233971 | [
"MIT"
] | null | null | null | user/emails.py | Ilmanfordinner/registration | d729f9a990d6f63dc29e14c1657dba87c3233971 | [
"MIT"
] | null | null | null | user/emails.py | Ilmanfordinner/registration | d729f9a990d6f63dc29e14c1657dba87c3233971 | [
"MIT"
] | null | null | null | from app import emails
def create_verify_email(user, activate_url):
c = {
'user': user,
'activate_url': activate_url
}
return emails.render_mail('mails/verify_email',
user.email, c)
def create_password_reset_email(user, reset_url):
c = {
... | 27.193548 | 86 | 0.571767 |
c7cc50d2ba6c162b8d8546cd6263ae75f3c991f2 | 23,246 | py | Python | Lib/site-packages/tensorflow_estimator/python/estimator/keras.py | caiyongji/py36-tf2.0rc | c5b4b364ba14214534228570e58ef96b1a8bb6dc | [
"CNRI-Python-GPL-Compatible"
] | 2 | 2019-08-04T20:28:14.000Z | 2019-10-27T23:26:42.000Z | Lib/site-packages/tensorflow_estimator/python/estimator/keras.py | caiyongji/py36-tf2.0rc | c5b4b364ba14214534228570e58ef96b1a8bb6dc | [
"CNRI-Python-GPL-Compatible"
] | null | null | null | Lib/site-packages/tensorflow_estimator/python/estimator/keras.py | caiyongji/py36-tf2.0rc | c5b4b364ba14214534228570e58ef96b1a8bb6dc | [
"CNRI-Python-GPL-Compatible"
] | 1 | 2020-11-04T03:16:29.000Z | 2020-11-04T03:16:29.000Z | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 39.601363 | 80 | 0.711004 |
4f9a96e90e4645ad96c1b598be4e64678c847ff0 | 3,577 | py | Python | chb/x86/opcodes/X86PushRegisters.py | kestreltechnology/CodeHawk-Binary | aa0b2534e0318e5fb3770ec7b4d78feb0feb2394 | [
"MIT"
] | null | null | null | chb/x86/opcodes/X86PushRegisters.py | kestreltechnology/CodeHawk-Binary | aa0b2534e0318e5fb3770ec7b4d78feb0feb2394 | [
"MIT"
] | null | null | null | chb/x86/opcodes/X86PushRegisters.py | kestreltechnology/CodeHawk-Binary | aa0b2534e0318e5fb3770ec7b4d78feb0feb2394 | [
"MIT"
] | null | null | null | # ------------------------------------------------------------------------------
# CodeHawk Binary Analyzer
# Author: Henny Sipma
# ------------------------------------------------------------------------------
# The MIT License (MIT)
#
# Copyright (c) 2016-2020 Kestrel Technology LLC
# Copyright (c) 2020 Henny Si... | 44.160494 | 80 | 0.649147 |
a4a661d0b8ca0871df53e909b8f2f1490ebd600d | 5,487 | py | Python | khan/pipeline/tests/test_images.py | zachariahmilby/keck-hires-aurora-pipeline | 51aae65cc6be396b0ef3de12f76220576248fea9 | [
"MIT"
] | null | null | null | khan/pipeline/tests/test_images.py | zachariahmilby/keck-hires-aurora-pipeline | 51aae65cc6be396b0ef3de12f76220576248fea9 | [
"MIT"
] | null | null | null | khan/pipeline/tests/test_images.py | zachariahmilby/keck-hires-aurora-pipeline | 51aae65cc6be396b0ef3de12f76220576248fea9 | [
"MIT"
] | null | null | null | import pytest
from astropy.io import fits
import numpy as np
from numpy.testing import assert_array_equal
from khan.pipeline.images import parse_mosaic_detector_slice, \
determine_detector_layout, get_mosaic_detector_corner_coordinates, \
reformat_observers, CCDImage
np.random.seed(1701)
class TestParseMosa... | 35.62987 | 79 | 0.684892 |
80ee6d47654abf9c9d5b373f0491dade87360bda | 430 | py | Python | Corona World Map/Goodle Maps.py | CoderAryanAnand/fun_projects | 6891320a373bad539b6e7926ca868d56c560bc20 | [
"MIT"
] | null | null | null | Corona World Map/Goodle Maps.py | CoderAryanAnand/fun_projects | 6891320a373bad539b6e7926ca868d56c560bc20 | [
"MIT"
] | null | null | null | Corona World Map/Goodle Maps.py | CoderAryanAnand/fun_projects | 6891320a373bad539b6e7926ca868d56c560bc20 | [
"MIT"
] | null | null | null | import pandas as pd
import gmaps
from IPython.display import display
data = pd.read_csv("data.csv")
df = pd.DataFrame(data)
df.head()
print(df.shape)
mylist = ["5/27/20"]
df2 = df[df[mylist].ne(0).all(1)]
print(df2)
gmaps.configure(api_key="")
locations = df2[['Lat', 'Long']]
weights = df2["5/27/20"]
fig = gmaps.figu... | 22.631579 | 100 | 0.718605 |
56fb58c8e59e3e99af1cb33271fb1afe2510ec1a | 17,309 | py | Python | redash/tasks/queries.py | pkuyangchao/redash | 1640b1e927a4d10ce9ae5c24b2d015734c696b08 | [
"BSD-2-Clause"
] | null | null | null | redash/tasks/queries.py | pkuyangchao/redash | 1640b1e927a4d10ce9ae5c24b2d015734c696b08 | [
"BSD-2-Clause"
] | 4 | 2020-06-18T15:31:02.000Z | 2021-03-25T23:31:41.000Z | redash/tasks/queries.py | pkuyangchao/redash | 1640b1e927a4d10ce9ae5c24b2d015734c696b08 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import logging
import signal
import time
import redis
from celery.exceptions import SoftTimeLimitExceeded, TimeLimitExceeded
from celery.result import AsyncResult
from celery.utils.log import get_task_logger
from six import text_type
from redash import models, redis_connec... | 39.428246 | 136 | 0.644462 |
1e92dc4caef3d76b13ec9a6dc22d1eadbb34d6db | 57 | py | Python | geochemistrypy/utils/__init__.py | WenyuMolly/geochemistrypy | 7127d98eb4b1610769a859dfbfb21457ae8de37c | [
"MIT"
] | 13 | 2021-11-03T05:44:06.000Z | 2022-03-27T02:50:45.000Z | geochemistrypy/utils/__init__.py | WenyuMolly/geochemistrypy | 7127d98eb4b1610769a859dfbfb21457ae8de37c | [
"MIT"
] | 20 | 2022-02-19T14:06:08.000Z | 2022-03-28T10:25:48.000Z | geochemistrypy/utils/__init__.py | WenyuMolly/geochemistrypy | 7127d98eb4b1610769a859dfbfb21457ae8de37c | [
"MIT"
] | 4 | 2021-11-03T05:44:12.000Z | 2022-03-12T15:14:22.000Z | # -*- coding: utf-8 -*-
import sys
sys.path.append('..') | 14.25 | 23 | 0.561404 |
35419e763cdd6878d443d2421030d1d31eda8330 | 1,157 | py | Python | kubernetes/test/test_v1beta1_custom_resource_definition_condition.py | kevingessner/python | 3f4d09d260cf0839fae8173852c69e0419188454 | [
"Apache-2.0"
] | null | null | null | kubernetes/test/test_v1beta1_custom_resource_definition_condition.py | kevingessner/python | 3f4d09d260cf0839fae8173852c69e0419188454 | [
"Apache-2.0"
] | null | null | null | kubernetes/test/test_v1beta1_custom_resource_definition_condition.py | kevingessner/python | 3f4d09d260cf0839fae8173852c69e0419188454 | [
"Apache-2.0"
] | 1 | 2018-07-19T16:37:20.000Z | 2018-07-19T16:37:20.000Z | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.9.3
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import os
import sys
im... | 25.711111 | 129 | 0.757995 |
a9bf1272492e1110917b8864bddcfa05dcec8baa | 285 | py | Python | database/restclientfactory.py | tomdoel/pyxnatbrowser | 573701e34538d6bae488d0a2d2a8864e974e5a8a | [
"BSD-2-Clause"
] | null | null | null | database/restclientfactory.py | tomdoel/pyxnatbrowser | 573701e34538d6bae488d0a2d2a8864e974e5a8a | [
"BSD-2-Clause"
] | null | null | null | database/restclientfactory.py | tomdoel/pyxnatbrowser | 573701e34538d6bae488d0a2d2a8864e974e5a8a | [
"BSD-2-Clause"
] | null | null | null | # https://github.com/tomdoel/pyxnatbrowser
# Author: Tom Doel www.tomdoel.com
# Distributed under the Simplified BSD License.
from database.restclient import RestClient
class RestClientFactory:
@staticmethod
def create_rest_client(config):
return RestClient(config)
| 23.75 | 47 | 0.77193 |
8c349faa049ad9811cf692eb9d539e322c40efd4 | 920 | py | Python | tools/mo/openvino/tools/mo/front/tf/topk_ext.py | ryanloney/openvino-1 | 4e0a740eb3ee31062ba0df88fcf438564f67edb7 | [
"Apache-2.0"
] | 1,127 | 2018-10-15T14:36:58.000Z | 2020-04-20T09:29:44.000Z | tools/mo/openvino/tools/mo/front/tf/topk_ext.py | ryanloney/openvino-1 | 4e0a740eb3ee31062ba0df88fcf438564f67edb7 | [
"Apache-2.0"
] | 439 | 2018-10-20T04:40:35.000Z | 2020-04-19T05:56:25.000Z | tools/mo/openvino/tools/mo/front/tf/topk_ext.py | ryanloney/openvino-1 | 4e0a740eb3ee31062ba0df88fcf438564f67edb7 | [
"Apache-2.0"
] | 414 | 2018-10-17T05:53:46.000Z | 2020-04-16T17:29:53.000Z | # Copyright (C) 2018-2022 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import numpy as np
from openvino.tools.mo.ops.topk import TopK
from openvino.tools.mo.front.extractor import FrontExtractorOp
class TopKExtractor(FrontExtractorOp):
op = 'TopK'
enabled = True
@classmethod
def extract(... | 28.75 | 110 | 0.634783 |
8e4a741186b9be252c5e00b12492c5484497df50 | 1,082 | py | Python | blibs/timestamps.py | theleftsock/blibs | a4a1b2eacf5bed9ed42e0e7f651f17e9549b34e6 | [
"MIT"
] | null | null | null | blibs/timestamps.py | theleftsock/blibs | a4a1b2eacf5bed9ed42e0e7f651f17e9549b34e6 | [
"MIT"
] | null | null | null | blibs/timestamps.py | theleftsock/blibs | a4a1b2eacf5bed9ed42e0e7f651f17e9549b34e6 | [
"MIT"
] | null | null | null | __author__ = 'biagio'
import datetime
import time
from time import gmtime, strftime
def get_ts(mode = 0):
date_list = datetime.datetime.now().time()
# print "date_list: ", date_list
if (mode == 0): # 2015-06-02 09:52
ts = strftime("%Y-%m-%d %H:%M")
if (mode == 4): # 2015-06-02 09:52:30
... | 28.473684 | 92 | 0.525878 |
f8f3000de868711e2b03c21f66f0b4d8b848299c | 458 | py | Python | Python/pico/utils.py | DSeeLP/LXBot9800 | a53524b49fedffb3bd7e01d510b0318a602729e4 | [
"MIT"
] | null | null | null | Python/pico/utils.py | DSeeLP/LXBot9800 | a53524b49fedffb3bd7e01d510b0318a602729e4 | [
"MIT"
] | null | null | null | Python/pico/utils.py | DSeeLP/LXBot9800 | a53524b49fedffb3bd7e01d510b0318a602729e4 | [
"MIT"
] | null | null | null | from machine import Pin, SPI
from lib.ST7735 import TFT
import utime
buzzer = Pin(4, Pin.OUT)
def buzz(time_ms: int = 250):
buzzer.value(1)
utime.sleep_ms(time_ms)
buzzer.value(0)
spi = SPI(1, baudrate=20000000, polarity=0, phase=0,
sck=Pin(10), mosi=Pin(11), miso=None)
# def __init__( self, ... | 19.083333 | 52 | 0.648472 |
3b5b683f9bd896753ed6835e8df39b02d123cd96 | 10,260 | py | Python | deli/manager/cli/commands/run.py | sandwichcloud/deli | a08bf3da59e435493326ff3c8b435a7a9e762c00 | [
"MIT"
] | 5 | 2018-02-07T05:49:09.000Z | 2020-03-02T20:33:13.000Z | deli/manager/cli/commands/run.py | sandwichcloud/deli | a08bf3da59e435493326ff3c8b435a7a9e762c00 | [
"MIT"
] | 2 | 2018-02-07T01:50:49.000Z | 2020-10-27T21:18:04.000Z | deli/manager/cli/commands/run.py | sandwichcloud/deli | a08bf3da59e435493326ff3c8b435a7a9e762c00 | [
"MIT"
] | null | null | null | import argparse
import datetime
import enum
import ipaddress
import json
import os
import time
import uuid
from threading import RLock
import arrow
import urllib3
from clify.daemon import Daemon
from dotenv import load_dotenv
from go_defer import with_defer, defer
from k8scontroller.election.elector import LeaderElect... | 44.034335 | 120 | 0.69191 |
e21c12b439b117cae017d8a3ac1d634ca8690518 | 616 | py | Python | config/celery.py | juusokor/osmcha-django | 5daafa015d5e341aa8ad6f847be2b7cc1a204e2b | [
"BSD-2-Clause"
] | 27 | 2015-09-06T00:39:39.000Z | 2021-12-09T10:30:52.000Z | config/celery.py | juusokor/osmcha-django | 5daafa015d5e341aa8ad6f847be2b7cc1a204e2b | [
"BSD-2-Clause"
] | 494 | 2015-09-10T19:39:38.000Z | 2022-03-29T08:07:37.000Z | config/celery.py | juusokor/osmcha-django | 5daafa015d5e341aa8ad6f847be2b7cc1a204e2b | [
"BSD-2-Clause"
] | 17 | 2015-08-10T22:58:56.000Z | 2021-09-24T17:03:16.000Z | #-*- coding: utf-8 -*-
from __future__ import absolute_import
import os
from django.conf import settings
from celery import Celery
# set the default Django settings module for the 'celery' program.
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings.local')
app = Celery('config',
backend='rpc://',... | 23.692308 | 72 | 0.762987 |
258bce67d8def13a16778a93d09e9a2f1d76bb7a | 628 | py | Python | examples/titanic/assets/algo_constant/algo.py | cupcicm/substra | 19eeec1dda02cce0e10ef6ed285636e974a6e77a | [
"Apache-2.0"
] | null | null | null | examples/titanic/assets/algo_constant/algo.py | cupcicm/substra | 19eeec1dda02cce0e10ef6ed285636e974a6e77a | [
"Apache-2.0"
] | null | null | null | examples/titanic/assets/algo_constant/algo.py | cupcicm/substra | 19eeec1dda02cce0e10ef6ed285636e974a6e77a | [
"Apache-2.0"
] | null | null | null | import pandas as pd
import numpy as np
import pickle
import substratools as tools
def constant_clf(X):
return pd.DataFrame(columns=['Survived'], data=np.zeros(len(X)), dtype=np.int64)
class TitanicAlgo(tools.algo.Algo):
def train(self, X, y, models, rank):
return (constant_clf(X), constant_clf)
... | 21.655172 | 84 | 0.664013 |
d42b8ae8b23ffd56028125948fe72c3fc526082a | 82 | py | Python | utility/GeneralUtility5.py | hkuadithya/general-dynamics-data-analytics | d3bb2fa8abdc0a8d654941794f65abddc5e85cf1 | [
"Apache-2.0"
] | 1 | 2017-12-23T20:11:19.000Z | 2017-12-23T20:11:19.000Z | utility/GeneralUtility5.py | hkuadithya/general-dynamics-data-analytics | d3bb2fa8abdc0a8d654941794f65abddc5e85cf1 | [
"Apache-2.0"
] | null | null | null | utility/GeneralUtility5.py | hkuadithya/general-dynamics-data-analytics | d3bb2fa8abdc0a8d654941794f65abddc5e85cf1 | [
"Apache-2.0"
] | null | null | null | # Analysis of First Dataset...
import pandas as pd
emp_df = pd.read_pickle(../)
| 13.666667 | 30 | 0.695122 |
628a01ae3a3195e0cbe02733e0432ac7ab2f45c4 | 406 | py | Python | src/supplier/migrations/0002_auto_20190915_2139.py | vandana0608/Pharmacy-Managament | f99bdec11c24027a432858daa19247a21cecc092 | [
"bzip2-1.0.6"
] | null | null | null | src/supplier/migrations/0002_auto_20190915_2139.py | vandana0608/Pharmacy-Managament | f99bdec11c24027a432858daa19247a21cecc092 | [
"bzip2-1.0.6"
] | null | null | null | src/supplier/migrations/0002_auto_20190915_2139.py | vandana0608/Pharmacy-Managament | f99bdec11c24027a432858daa19247a21cecc092 | [
"bzip2-1.0.6"
] | null | null | null | # Generated by Django 2.0.7 on 2019-09-15 16:09
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('supplier', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='supplier',
name='supplierphonenumber... | 21.368421 | 65 | 0.603448 |
c434264d41de2823c4e5d1cbdc7a7a374c2e5ab1 | 1,340 | py | Python | web/model/aclImdb.py | java-lang-programming/web_and_machine_learning | e76109b63f1c6b3a380bb7d4ce6ed132c0cddd1e | [
"Apache-2.0"
] | null | null | null | web/model/aclImdb.py | java-lang-programming/web_and_machine_learning | e76109b63f1c6b3a380bb7d4ce6ed132c0cddd1e | [
"Apache-2.0"
] | null | null | null | web/model/aclImdb.py | java-lang-programming/web_and_machine_learning | e76109b63f1c6b3a380bb7d4ce6ed132c0cddd1e | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
import pickle
import os
import numpy as np
import pandas as pd
import sys
class Model():
def save_classifier(self, clf, clf_filename):
parenr_dir_path = os.path.abspath(os.path.dirname(os.path.abspath(__file__)) + '/../')
# parent_path = os.path.abspath(os.path.join(os.getcwd(), os... | 34.358974 | 94 | 0.60597 |
785a48ad516ec31c41816ed6aa51e585e5498825 | 1,947 | py | Python | label_passages_pkl.py | Louis-udm/Adapting-regulations-for-an-automated-reading-system | 4e0ee08397dfed95a1fb4fc4429390291fdb0331 | [
"Apache-2.0"
] | 2 | 2019-08-22T19:52:40.000Z | 2019-08-22T19:54:11.000Z | label_passages_pkl.py | Louis-udm/Adapting-regulations-for-an-automated-reading-system | 4e0ee08397dfed95a1fb4fc4429390291fdb0331 | [
"Apache-2.0"
] | null | null | null | label_passages_pkl.py | Louis-udm/Adapting-regulations-for-an-automated-reading-system | 4e0ee08397dfed95a1fb4fc4429390291fdb0331 | [
"Apache-2.0"
] | null | null | null | #%%
import os, pickle
from glob import glob
from document import Document, Paragraph, Table
from utils import *
#%%
import spacy
nlp = spacy.load("en_core_web_lg")
from spacy.matcher import Matcher
matcher = Matcher(nlp.vocab)
#%%
roles=['insurance representative',
'representative in insurance of person',
'gr... | 34.157895 | 113 | 0.625064 |
7c3edc2f7eb19dee3499d38f3b99731d9d5830f0 | 43,610 | py | Python | client/Clients.py | MarianFr/Split_ECG_Classification | b6ef77a2512ae6119974e20232ce602d17d0c892 | [
"MIT"
] | null | null | null | client/Clients.py | MarianFr/Split_ECG_Classification | b6ef77a2512ae6119974e20232ce602d17d0c892 | [
"MIT"
] | null | null | null | client/Clients.py | MarianFr/Split_ECG_Classification | b6ef77a2512ae6119974e20232ce602d17d0c892 | [
"MIT"
] | 1 | 2022-03-23T11:53:16.000Z | 2022-03-23T11:53:16.000Z | import struct
import socket
import pickle
import json
from torch.optim import SGD, Adam, AdamW
import sys
import time
import random
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import matplotlib.pyplot as plt
#import seaborn as sns
import torch
import torch.... | 39.359206 | 213 | 0.621555 |
97b9a1329057768c4fde768d1a3502f73041fd46 | 192 | py | Python | Chapter 8/hail2.py | PacktPublishing/Mastering-IPython-4 | d752f7ba38e0c9399a83d57da406fe26152f272b | [
"MIT"
] | 22 | 2016-06-07T07:52:35.000Z | 2021-11-08T13:12:21.000Z | Chapter 8/hail2.py | PacktPublishing/Mastering-IPython-4 | d752f7ba38e0c9399a83d57da406fe26152f272b | [
"MIT"
] | 2 | 2016-05-23T08:20:54.000Z | 2018-07-02T08:21:32.000Z | Chapter 8/hail2.py | PacktPublishing/Mastering-IPython-4 | d752f7ba38e0c9399a83d57da406fe26152f272b | [
"MIT"
] | 27 | 2016-05-23T08:19:51.000Z | 2021-08-31T02:46:00.000Z | def f(n):
curr = n
tmp = 0
while curr != 1:
tmp = tmp + 1
if curr % 2 == 1:
curr = 3 * curr + 1
else:
curr = curr/2
return tmp
| 16 | 31 | 0.369792 |
32e324c82d84bc04e7a8035bc2b11e130e7ffb8a | 343 | py | Python | SRC/Chapter_07-Using-A-Database/02_DB_conn.py | archeranimesh/HeadFirstPython | 8e0c84871328a6bf3a8d723341be56298440f29b | [
"MIT"
] | 1 | 2020-12-26T19:37:14.000Z | 2020-12-26T19:37:14.000Z | SRC/Chapter_07-Using-A-Database/02_DB_conn.py | archeranimesh/HeadFirstPython | 8e0c84871328a6bf3a8d723341be56298440f29b | [
"MIT"
] | null | null | null | SRC/Chapter_07-Using-A-Database/02_DB_conn.py | archeranimesh/HeadFirstPython | 8e0c84871328a6bf3a8d723341be56298440f29b | [
"MIT"
] | null | null | null | import mysql.connector
dbconfig = {
"host": "127.0.0.1",
"user": "vsearch",
"password": "hello",
"database": "vsearchlogDB",
}
conn = mysql.connector.connect(**dbconfig)
cursor = conn.cursor()
_SQL = """describe log"""
cursor.execute(_SQL)
res = cursor.fetchall()
for row in res:
print(row)
curso... | 16.333333 | 42 | 0.638484 |
7c65f161dff86f5a66f0ccf7802dc3af6662b40d | 70,148 | py | Python | tests/test_connector.py | fcomuniz/aiohttp | 5f03869652a02b373b9078dcc6e00be60ffa9101 | [
"Apache-2.0"
] | null | null | null | tests/test_connector.py | fcomuniz/aiohttp | 5f03869652a02b373b9078dcc6e00be60ffa9101 | [
"Apache-2.0"
] | null | null | null | tests/test_connector.py | fcomuniz/aiohttp | 5f03869652a02b373b9078dcc6e00be60ffa9101 | [
"Apache-2.0"
] | null | null | null | # type: ignore
# Tests of http client with custom Connector
import asyncio
import gc
import hashlib
import platform
import socket
import ssl
import sys
import uuid
from collections import deque
from typing import Any, Optional
from unittest import mock
import pytest
from conftest import needs_unix
from yarl import UR... | 30.888595 | 88 | 0.682728 |
0f7086441fe4a2382b92f7346c8ec1d001bf2dd8 | 1,483 | py | Python | veros/diagnostics/io_tools/hdf5.py | madsbk/veros | 00d2c33e28f0bd098a81bd6ac48436067e7eb8f5 | [
"MIT"
] | null | null | null | veros/diagnostics/io_tools/hdf5.py | madsbk/veros | 00d2c33e28f0bd098a81bd6ac48436067e7eb8f5 | [
"MIT"
] | null | null | null | veros/diagnostics/io_tools/hdf5.py | madsbk/veros | 00d2c33e28f0bd098a81bd6ac48436067e7eb8f5 | [
"MIT"
] | null | null | null | import threading
import contextlib
import logging
@contextlib.contextmanager
def threaded_io(vs, filepath, mode):
"""
If using IO threads, start a new thread to write the netCDF data to disk.
"""
import h5py
if vs.use_io_threads:
_wait_for_disk(vs, filepath)
_io_locks[filepath].cle... | 25.568966 | 92 | 0.65408 |
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