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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
542ed8915929d9082655f10271231d6e8237f5b5 | 2,848 | py | Python | bin/models_vs_uniprot_check/ViPhOG_chunks_rank_summ.py | alexcorm/emg-viral-pipeline | f367002f0e1e375840e5696323bde65f7accb31f | [
"Apache-2.0"
] | 30 | 2020-05-18T14:02:34.000Z | 2022-03-16T20:04:25.000Z | bin/models_vs_uniprot_check/ViPhOG_chunks_rank_summ.py | lynceuslq/emg-viral-pipeline | 53a99b84ed93428ee88d61e529bcf6799f5eec94 | [
"Apache-2.0"
] | 45 | 2020-04-30T09:45:03.000Z | 2022-03-21T09:10:21.000Z | bin/models_vs_uniprot_check/ViPhOG_chunks_rank_summ.py | lynceuslq/emg-viral-pipeline | 53a99b84ed93428ee88d61e529bcf6799f5eec94 | [
"Apache-2.0"
] | 12 | 2020-06-02T12:43:49.000Z | 2022-02-22T13:09:13.000Z | #!/usr/bin/env python3
import os
import re
import glob
import sys
import operator
import ast
import argparse
###############################################################################################
# This script was written as part of the analysis conducted on the output generated by #
# hmmsearch, when... | 45.935484 | 293 | 0.652388 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,358 | 0.476826 |
54318f46c52690013bfe7cc4791a2d7dcc84bf04 | 6,349 | py | Python | bika/lims/permissions.py | hocinebendou/bika.gsoc | 85bc0c587de7f52073ae0e89bddbc77bf875f295 | [
"MIT"
] | null | null | null | bika/lims/permissions.py | hocinebendou/bika.gsoc | 85bc0c587de7f52073ae0e89bddbc77bf875f295 | [
"MIT"
] | null | null | null | bika/lims/permissions.py | hocinebendou/bika.gsoc | 85bc0c587de7f52073ae0e89bddbc77bf875f295 | [
"MIT"
] | null | null | null | """ All permissions are defined here.
They are also defined in permissions.zcml.
The two files must be kept in sync.
bika.lims.__init__ imports * from this file, so
bika.lims.PermName or bika.lims.permissions.PermName are
both valid.
"""
from Products.CMFCore.permissions import AddPortalContent
#... | 34.505435 | 79 | 0.695228 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,276 | 0.673492 |
5431f5aaf571f8d48be62c018da65e8a8b984c28 | 5,140 | py | Python | python/venv/lib/python2.7/site-packages/openstack/tests/unit/telemetry/v2/test_sample.py | sjsucohort6/openstack | 8471e6e599c3f52319926a582358358ef84cbadb | [
"MIT"
] | null | null | null | python/venv/lib/python2.7/site-packages/openstack/tests/unit/telemetry/v2/test_sample.py | sjsucohort6/openstack | 8471e6e599c3f52319926a582358358ef84cbadb | [
"MIT"
] | null | null | null | python/venv/lib/python2.7/site-packages/openstack/tests/unit/telemetry/v2/test_sample.py | sjsucohort6/openstack | 8471e6e599c3f52319926a582358358ef84cbadb | [
"MIT"
] | null | null | null | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the Li... | 36.978417 | 75 | 0.637743 | 3,949 | 0.768288 | 0 | 0 | 0 | 0 | 0 | 0 | 1,400 | 0.272374 |
54324dc90f9df188cfe21f89b7c0b9336f381fe0 | 7,645 | py | Python | data_convert/convert_text_to_tree.py | wlof-2/Text2Relation | a1321e3627fee4714d2c39c964d93d12d0802467 | [
"MIT"
] | null | null | null | data_convert/convert_text_to_tree.py | wlof-2/Text2Relation | a1321e3627fee4714d2c39c964d93d12d0802467 | [
"MIT"
] | null | null | null | data_convert/convert_text_to_tree.py | wlof-2/Text2Relation | a1321e3627fee4714d2c39c964d93d12d0802467 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import os
import json
from collections import Counter, defaultdict
from data_convert.format.text2tree import Entity_Type, Text2Tree
from data_convert.task_format.event_extraction import Event, DyIEPP, Conll04
from data_convert.utils import read_file, check_output, data_count... | 45.778443 | 138 | 0.597515 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,970 | 0.257685 |
5432a871244c2f1064853af01dd1344e9304f2e3 | 1,246 | py | Python | arachnado/utils/spiders.py | wigginzz/arachnado | 8de92625262958e886263b4ccb189f4fc62d7400 | [
"MIT"
] | 2 | 2017-12-26T14:50:14.000Z | 2018-06-12T07:04:08.000Z | arachnado/utils/spiders.py | wigginzz/arachnado | 8de92625262958e886263b4ccb189f4fc62d7400 | [
"MIT"
] | null | null | null | arachnado/utils/spiders.py | wigginzz/arachnado | 8de92625262958e886263b4ccb189f4fc62d7400 | [
"MIT"
] | null | null | null | from scrapy.utils.misc import walk_modules
from scrapy.utils.spider import iter_spider_classes
def get_spider_cls(url, spider_packages, default):
"""
Return spider class based on provided url.
:param url: if it looks like `spider://spidername` it tries to load spider
named `spidername`, otherwise... | 35.6 | 78 | 0.690209 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 657 | 0.527287 |
543307112090d54acedcff9238e2cea7185b6c19 | 1,165 | py | Python | Social_Encoders.py | Haroon96/GraphRec-WWW19 | fc28eee70fad927d761c15cab97de52f5955dcfd | [
"MIT"
] | null | null | null | Social_Encoders.py | Haroon96/GraphRec-WWW19 | fc28eee70fad927d761c15cab97de52f5955dcfd | [
"MIT"
] | null | null | null | Social_Encoders.py | Haroon96/GraphRec-WWW19 | fc28eee70fad927d761c15cab97de52f5955dcfd | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
from torch.nn import init
import torch.nn.functional as F
class Social_Encoder(nn.Module):
def __init__(self, features, embed_dim, social_adj_lists, aggregator, base_model=None, cuda="cpu"):
super(Social_Encoder, self).__init__()
self.features = features
... | 32.361111 | 103 | 0.654936 | 1,069 | 0.917597 | 0 | 0 | 0 | 0 | 0 | 0 | 63 | 0.054077 |
5433996009680b5160e896f44a3bff1c9d65a2bb | 3,280 | py | Python | deephub/utils/__main__.py | deeplab-ai/deephub | b1d271436fab69cdfad14f19fa2e29c5338f18d6 | [
"Apache-2.0"
] | 8 | 2019-10-17T12:46:13.000Z | 2020-03-12T08:09:40.000Z | deephub/utils/__main__.py | deeplab-ai/deephub | b1d271436fab69cdfad14f19fa2e29c5338f18d6 | [
"Apache-2.0"
] | 12 | 2019-10-22T13:11:56.000Z | 2022-02-10T00:23:30.000Z | deephub/utils/__main__.py | deeplab-ai/deephub | b1d271436fab69cdfad14f19fa2e29c5338f18d6 | [
"Apache-2.0"
] | 1 | 2019-10-17T13:21:27.000Z | 2019-10-17T13:21:27.000Z | import click
import time
from deephub.common.io import resolve_glob_pattern
from deephub.models.feeders.tfrecords.meta import generate_fileinfo, get_fileinfo, TFRecordValidationError, \
TFRecordInfoMissingError
@click.group()
def cli():
"""
General purpose CLI utils.
"""
pass
@cli.command()
@cl... | 33.814433 | 115 | 0.633232 | 0 | 0 | 0 | 0 | 3,052 | 0.930488 | 0 | 0 | 1,502 | 0.457927 |
543471083e8ed6e6fd0d08082e7de83061292ab1 | 10,072 | py | Python | utils_mit_im.py | putama/visualcomposition | ada3d8e71b79a5f3e239718f3cdac58eca5e1327 | [
"MIT"
] | null | null | null | utils_mit_im.py | putama/visualcomposition | ada3d8e71b79a5f3e239718f3cdac58eca5e1327 | [
"MIT"
] | null | null | null | utils_mit_im.py | putama/visualcomposition | ada3d8e71b79a5f3e239718f3cdac58eca5e1327 | [
"MIT"
] | null | null | null | import numpy as np
import cPickle
import os
from scipy.io import loadmat
import time
import h5py
import json
import copy
import bz2
def unique_rows(a):
b = np.ascontiguousarray(a).view(np.dtype((np.void, a.dtype.itemsize * a.shape[1])))
_, idx = np.unique(b, return_index=True)
return a[idx], idx;
def setdiff2d(... | 32.807818 | 141 | 0.652502 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,588 | 0.157665 |
5435607e763096b9e0e81fbf68d44b9c31b6852e | 1,085 | py | Python | python_teste/python_aulas/aula_94.py | BrunoDantasMoreira/projectsPython | bd73ab0b3c067456407f227ed2ece42e7f21ddfc | [
"MIT"
] | 1 | 2020-07-27T14:18:08.000Z | 2020-07-27T14:18:08.000Z | python_teste/python_aulas/aula_94.py | BrunoDantasMoreira/projectsPython | bd73ab0b3c067456407f227ed2ece42e7f21ddfc | [
"MIT"
] | null | null | null | python_teste/python_aulas/aula_94.py | BrunoDantasMoreira/projectsPython | bd73ab0b3c067456407f227ed2ece42e7f21ddfc | [
"MIT"
] | null | null | null | dict = {}
lista = []
soma = 0
while True:
dict['nome'] = str(input('Nome: ')).capitalize()
dict['sexo'] = str(input('Sexo: ')).strip().upper()[0]
while dict['sexo'] not in 'MF':
print('ERRO! Por favor, digite apenas M ou F')
dict['sexo'] = str(input('Sexo: ')).strip().upper()[0]
dict['id... | 33.90625 | 65 | 0.562212 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 430 | 0.392336 |
543805ee596eba6c41f93710a63dc5eaf28196da | 7,894 | py | Python | nlp/layers/linears.py | zhihao-chen/NLP-experiments | c7512276050f5b8489adb4c745fa970ea8119646 | [
"MIT"
] | 4 | 2021-11-10T03:49:28.000Z | 2022-03-24T02:18:44.000Z | nlp/layers/linears.py | zhihao-chen/NLP-experiments | c7512276050f5b8489adb4c745fa970ea8119646 | [
"MIT"
] | null | null | null | nlp/layers/linears.py | zhihao-chen/NLP-experiments | c7512276050f5b8489adb4c745fa970ea8119646 | [
"MIT"
] | 1 | 2021-11-14T18:01:18.000Z | 2021-11-14T18:01:18.000Z | # -*- coding: utf8 -*-
"""
======================================
Project Name: NLP
File Name: linears
Author: czh
Create Date: 2021/11/15
--------------------------------------
Change Activity:
======================================
"""
import math
import torch
import torch.nn as nn
import torch.... | 38.8867 | 117 | 0.673676 | 7,481 | 0.947682 | 0 | 0 | 0 | 0 | 0 | 0 | 617 | 0.078161 |
5438824c4ced393aa643d5e74bfabb01555d5d5c | 2,037 | py | Python | components/siren.py | TalaoDAO/ecole42 | 2236f24527966195c953f222f9715ee967348b0f | [
"Apache-2.0"
] | 1 | 2021-09-22T16:30:57.000Z | 2021-09-22T16:30:57.000Z | components/siren.py | TalaoDAO/credential-repository | d36c694d9e90ead8a35bd8cc5be47c6d951474ba | [
"Apache-2.0"
] | null | null | null | components/siren.py | TalaoDAO/credential-repository | d36c694d9e90ead8a35bd8cc5be47c6d951474ba | [
"Apache-2.0"
] | null | null | null | import requests
def company(SIREN):
r = requests.get('https://entreprise.data.gouv.fr/api/sirene/v2/siren/'+SIREN+'')
json_object = r.json()
settings = dict()
if json_object['sirene']['status'] == 404:
return None
if json_object['sirene']['data']['siege_social']['nom_raison_sociale'... | 55.054054 | 370 | 0.571919 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 977 | 0.479627 |
5438db8d908a649df431fff16b0d49559bcdf6d6 | 2,036 | py | Python | Week 2/medt_opdracht_9.py | zowie93/ISCRIPT | fa3e5122be8ef47b23c23554ec9e1c04b37da562 | [
"MIT"
] | null | null | null | Week 2/medt_opdracht_9.py | zowie93/ISCRIPT | fa3e5122be8ef47b23c23554ec9e1c04b37da562 | [
"MIT"
] | null | null | null | Week 2/medt_opdracht_9.py | zowie93/ISCRIPT | fa3e5122be8ef47b23c23554ec9e1c04b37da562 | [
"MIT"
] | null | null | null | """
Opdracht 9 - Loonbrief
https://dodona.ugent.be/nl/exercises/990750894/
"""
# functie voor start amount
def get_start_amount():
# return start amount
return int(input("Start bedrag: "))
# functie voor salaris
def get_salary():
# array van salaris maken
salary = []
# count op nul zetten
c... | 24.238095 | 71 | 0.651768 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 978 | 0.479412 |
543993f4662d66952cafe8284d07a22ac01ccee7 | 1,845 | py | Python | 4.1.1-simple-object-tracking-video.py | CleverYh/opencv_py | 20b28e8ef20fa3015f4f7c20ed69fed954c16805 | [
"MIT"
] | 2 | 2020-04-05T13:44:13.000Z | 2020-07-06T08:53:58.000Z | 4.1.1-simple-object-tracking-video.py | CleverYh/opencv_py | 20b28e8ef20fa3015f4f7c20ed69fed954c16805 | [
"MIT"
] | null | null | null | 4.1.1-simple-object-tracking-video.py | CleverYh/opencv_py | 20b28e8ef20fa3015f4f7c20ed69fed954c16805 | [
"MIT"
] | null | null | null | # coding: utf-8
from cv2 import cv2
import numpy as np
cap = cv2.VideoCapture(0)
while(1):
# Take each frame
_, frame = cap.read()
# Convert BGR to HSV
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
# define range of blue color in HSV
lower_blue = np.array([110,50,50])
upper_blue = np.arr... | 37.653061 | 256 | 0.701897 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,315 | 0.711195 |
5439f19ce894429f825edd092b433b960bae49d4 | 9,411 | py | Python | src/peering/azext_peering/custom.py | michimune/azure-cli-extensions | 697e2c674e5c0825d44c72d714542fe01331e107 | [
"MIT"
] | 1 | 2022-03-22T15:02:32.000Z | 2022-03-22T15:02:32.000Z | src/peering/azext_peering/custom.py | michimune/azure-cli-extensions | 697e2c674e5c0825d44c72d714542fe01331e107 | [
"MIT"
] | 1 | 2021-02-10T22:04:59.000Z | 2021-02-10T22:04:59.000Z | src/peering/azext_peering/custom.py | michimune/azure-cli-extensions | 697e2c674e5c0825d44c72d714542fe01331e107 | [
"MIT"
] | 1 | 2021-06-03T19:31:10.000Z | 2021-06-03T19:31:10.000Z | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | 42.013393 | 154 | 0.604824 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,267 | 0.13463 |
543ac48e108696b4125575c0e8b5fa9098b4ddb3 | 830 | py | Python | votes/migrations/0004_team.py | aiventimptner/horizon | 6e2436bfa81cad55fefd4c0bb67df3c36a9b6deb | [
"MIT"
] | null | null | null | votes/migrations/0004_team.py | aiventimptner/horizon | 6e2436bfa81cad55fefd4c0bb67df3c36a9b6deb | [
"MIT"
] | 1 | 2021-06-10T19:59:07.000Z | 2021-06-10T19:59:07.000Z | votes/migrations/0004_team.py | aiventimptner/horizon | 6e2436bfa81cad55fefd4c0bb67df3c36a9b6deb | [
"MIT"
] | null | null | null | # Generated by Django 3.1.4 on 2020-12-30 00:27
from django.conf import settings
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('votes', '0003_auto_20201229_1301'),
]
operations... | 31.923077 | 114 | 0.609639 | 704 | 0.848193 | 0 | 0 | 0 | 0 | 0 | 0 | 130 | 0.156627 |
543ac83c6ae50796c548f885ed09b3775131b174 | 576 | py | Python | Python/Day 21/score.py | Aswinpkrishnan94/Fabulous-Python | bafba6d5b3889008299c012625b4a9e1b63b1d44 | [
"MIT"
] | null | null | null | Python/Day 21/score.py | Aswinpkrishnan94/Fabulous-Python | bafba6d5b3889008299c012625b4a9e1b63b1d44 | [
"MIT"
] | null | null | null | Python/Day 21/score.py | Aswinpkrishnan94/Fabulous-Python | bafba6d5b3889008299c012625b4a9e1b63b1d44 | [
"MIT"
] | null | null | null | from turtle import Turtle
FONT = ("Arial", 10, "normal")
ALIGN = "center"
class Score(Turtle):
def __init__(self):
super().__init__()
self.score = 0
self.color("White")
self.penup()
self.goto(0, 270)
self.update()
self.hideturtle()
def update(self):
... | 23.04 | 67 | 0.553819 | 500 | 0.868056 | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 0.112847 |
543c4f51f177e890cbcf4f4101beb26f2ee15486 | 81 | py | Python | tests/integration/testdata/buildcmd/PyLayerMake/layer.py | renanmontebelo/aws-sam-cli | b5cfc46aa9726b5cd006df8ecc08d1b4eedeb9ea | [
"BSD-2-Clause",
"Apache-2.0"
] | 2,959 | 2018-05-08T21:48:56.000Z | 2020-08-24T14:35:39.000Z | tests/integration/testdata/buildcmd/PyLayerMake/layer.py | renanmontebelo/aws-sam-cli | b5cfc46aa9726b5cd006df8ecc08d1b4eedeb9ea | [
"BSD-2-Clause",
"Apache-2.0"
] | 1,469 | 2018-05-08T22:44:28.000Z | 2020-08-24T20:19:24.000Z | tests/integration/testdata/buildcmd/PyLayerMake/layer.py | renanmontebelo/aws-sam-cli | b5cfc46aa9726b5cd006df8ecc08d1b4eedeb9ea | [
"BSD-2-Clause",
"Apache-2.0"
] | 642 | 2018-05-08T22:09:19.000Z | 2020-08-17T09:04:37.000Z | import numpy
def layer_method():
return {"pi": "{0:.2f}".format(numpy.pi)}
| 13.5 | 45 | 0.617284 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0.160494 |
543cd354a10448d8c328281db21e317c63dd0072 | 5,520 | py | Python | bcbio/qc/coverage.py | markdunning/bcbio-nextgen | 37b69efcc5b2b3713b8d5cd207cece4cb343380d | [
"MIT"
] | null | null | null | bcbio/qc/coverage.py | markdunning/bcbio-nextgen | 37b69efcc5b2b3713b8d5cd207cece4cb343380d | [
"MIT"
] | null | null | null | bcbio/qc/coverage.py | markdunning/bcbio-nextgen | 37b69efcc5b2b3713b8d5cd207cece4cb343380d | [
"MIT"
] | null | null | null | """Coverage based QC calculations.
"""
import glob
import os
import subprocess
from bcbio.bam import ref, readstats, utils
from bcbio.distributed import transaction
from bcbio.heterogeneity import chromhacks
import bcbio.pipeline.datadict as dd
from bcbio.provenance import do
from bcbio.variation import coverage as co... | 46.386555 | 115 | 0.664312 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,162 | 0.210507 |
543cef330851534694d86f1be5bca5d7e8614e34 | 1,210 | py | Python | shrike-examples/contoso/utils/arg_utils.py | lynochka/azure-ml-problem-sets | e7e69de763444c5603e4455e35e69e917081a4cc | [
"MIT"
] | 3 | 2021-07-27T16:28:51.000Z | 2021-11-15T18:29:02.000Z | shrike-examples/contoso/utils/arg_utils.py | lynochka/azure-ml-problem-sets | e7e69de763444c5603e4455e35e69e917081a4cc | [
"MIT"
] | null | null | null | shrike-examples/contoso/utils/arg_utils.py | lynochka/azure-ml-problem-sets | e7e69de763444c5603e4455e35e69e917081a4cc | [
"MIT"
] | 7 | 2021-08-09T15:04:03.000Z | 2022-03-09T05:48:56.000Z | """
Utility functions for argument parsing
"""
import argparse
def str2bool(val):
"""
Resolving boolean arguments if they are not given in the standard format
Arguments:
val (bool or string): boolean argument type
Returns:
bool: the desired value {True, False}
"""
if isinstan... | 25.744681 | 100 | 0.638017 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 725 | 0.599174 |
543dd03030508ee683df7a6d3985dc5051235db5 | 277 | py | Python | tests/test_learner.py | luksurious/faster-teaching | 1493311d5b723ca3f216f537bda8db5907196443 | [
"MIT"
] | 2 | 2020-08-06T13:21:51.000Z | 2021-04-15T04:29:03.000Z | tests/test_learner.py | luksurious/faster-teaching | 1493311d5b723ca3f216f537bda8db5907196443 | [
"MIT"
] | null | null | null | tests/test_learner.py | luksurious/faster-teaching | 1493311d5b723ca3f216f537bda8db5907196443 | [
"MIT"
] | null | null | null | from concepts.letter_addition import LetterAddition
from learners.sim_memoryless_learner import SimMemorylessLearner
def test_see_example():
concept = LetterAddition(6)
learner = SimMemorylessLearner(concept, list(range(0, 7)))
learner.see_example(((0, 1), 10))
| 27.7 | 64 | 0.776173 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
543dded51722ade60b4b464e9cde6ba374678fe4 | 2,536 | py | Python | piper/jde.py | miketarpey/piper | d1620727889228d61fbe448f4747cef9351ede59 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | piper/jde.py | miketarpey/piper | d1620727889228d61fbe448f4747cef9351ede59 | [
"BSD-2-Clause-FreeBSD"
] | 24 | 2021-02-03T17:06:13.000Z | 2021-04-02T13:09:13.000Z | piper/jde.py | miketarpey/piper | d1620727889228d61fbe448f4747cef9351ede59 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | import logging
import pandas as pd
from datetime import datetime
from typing import (
Any,
Callable,
Dict,
Hashable,
Iterable,
List,
NamedTuple,
Optional,
Pattern,
Set,
Tuple,
Union,
)
logger = logging.getLogger(__name__)
# add_jde_batch() {{{1... | 27.868132 | 109 | 0.542587 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,658 | 0.653785 |
543e07ad4f4ef4e280a96b2a4575d3e61db5448a | 2,159 | py | Python | codes/utils.py | epfml/byzantine-robust-noniid-optimizer | 0e27349ac99235251110d54dd102fda0091bf274 | [
"MIT"
] | 7 | 2021-06-22T03:12:15.000Z | 2022-01-06T16:11:14.000Z | codes/utils.py | epfml/byzantine-robust-noniid-optimizer | 0e27349ac99235251110d54dd102fda0091bf274 | [
"MIT"
] | null | null | null | codes/utils.py | epfml/byzantine-robust-noniid-optimizer | 0e27349ac99235251110d54dd102fda0091bf274 | [
"MIT"
] | 2 | 2021-12-12T13:28:02.000Z | 2022-02-18T13:22:20.000Z | import os
import shutil
import logging
class BColors(object):
HEADER = "\033[95m"
OK_BLUE = "\033[94m"
OK_CYAN = "\033[96m"
OK_GREEN = "\033[92m"
WARNING = "\033[93m"
FAIL = "\033[91m"
END_C = "\033[0m"
BOLD = "\033[1m"
UNDERLINE = "\033[4m"
def touch(fname: str, times=None, crea... | 25.104651 | 64 | 0.642427 | 238 | 0.110236 | 0 | 0 | 0 | 0 | 0 | 0 | 284 | 0.131542 |
543e913c7932efd8a58e4692b8be276e0e6a692e | 2,090 | py | Python | setup.py | robertjanes/drawbot | 5a0a2ce55cda3f87624ae8c028d9d59aceee3897 | [
"BSD-2-Clause"
] | null | null | null | setup.py | robertjanes/drawbot | 5a0a2ce55cda3f87624ae8c028d9d59aceee3897 | [
"BSD-2-Clause"
] | null | null | null | setup.py | robertjanes/drawbot | 5a0a2ce55cda3f87624ae8c028d9d59aceee3897 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
from __future__ import division, absolute_import, print_function
from setuptools import setup
import os
import re
import shutil
_versionRE = re.compile(r'__version__\s*=\s*\"([^\"]+)\"')
# read the version number for the settings file
with open('drawBot/drawBotSettings.py', "r") as settings:
... | 32.65625 | 247 | 0.688517 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 890 | 0.425837 |
543ed68a45e19a13dd2f2c914498c100fd410df9 | 784 | py | Python | src/homework/i_dictionaries_sets/dictionary.py | acc-cosc-1336-spring-2022/acc-cosc-1336-spring-2022-WillCapo | 426db13aa4d5f6005d7079007ff5fdf114ef649e | [
"MIT"
] | null | null | null | src/homework/i_dictionaries_sets/dictionary.py | acc-cosc-1336-spring-2022/acc-cosc-1336-spring-2022-WillCapo | 426db13aa4d5f6005d7079007ff5fdf114ef649e | [
"MIT"
] | null | null | null | src/homework/i_dictionaries_sets/dictionary.py | acc-cosc-1336-spring-2022/acc-cosc-1336-spring-2022-WillCapo | 426db13aa4d5f6005d7079007ff5fdf114ef649e | [
"MIT"
] | 1 | 2022-02-09T02:28:56.000Z | 2022-02-09T02:28:56.000Z | def get_p_distance(list1, list2):
count = 0
i = 0
while i < len(list1):
if (list1[i] != list2[i]):
count += .1
i += 1
return count
def get_p_distance_matrix(list1, list2, list3, list4):
dna1 = get_p_distance(list1, list1), get_p_distance(list1, list2), get_p_distance(lis... | 52.266667 | 129 | 0.69898 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
543fd7e53080b049a8ec4e7ace7dac2f370068e8 | 38,634 | py | Python | pysnmp-with-texts/ZHONE-COM-IP-FILTER-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 8 | 2019-05-09T17:04:00.000Z | 2021-06-09T06:50:51.000Z | pysnmp-with-texts/ZHONE-COM-IP-FILTER-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 4 | 2019-05-31T16:42:59.000Z | 2020-01-31T21:57:17.000Z | pysnmp-with-texts/ZHONE-COM-IP-FILTER-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module ZHONE-COM-IP-FILTER-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ZHONE-COM-IP-FILTER-MIB
# Produced by pysmi-0.3.4 at Wed May 1 15:47:04 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 ... | 168.707424 | 2,566 | 0.786354 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18,647 | 0.482658 |
5442d7409922b392e57d7544f376052f8505514b | 11,160 | py | Python | watertap/examples/flowsheets/case_studies/municipal_treatment/municipal_treatment.py | avdudchenko/watertap | ac8d59e015688ff175a8087d2d52272e4f1fe84f | [
"BSD-3-Clause-LBNL"
] | 4 | 2021-11-06T01:13:22.000Z | 2022-02-08T21:16:38.000Z | watertap/examples/flowsheets/case_studies/municipal_treatment/municipal_treatment.py | avdudchenko/watertap | ac8d59e015688ff175a8087d2d52272e4f1fe84f | [
"BSD-3-Clause-LBNL"
] | 233 | 2021-10-13T12:53:44.000Z | 2022-03-31T21:59:50.000Z | watertap/examples/flowsheets/case_studies/municipal_treatment/municipal_treatment.py | avdudchenko/watertap | ac8d59e015688ff175a8087d2d52272e4f1fe84f | [
"BSD-3-Clause-LBNL"
] | 12 | 2021-11-01T19:11:03.000Z | 2022-03-08T22:20:58.000Z | ###############################################################################
# WaterTAP Copyright (c) 2021, The Regents of the University of California,
# through Lawrence Berkeley National Laboratory, Oak Ridge National
# Laboratory, National Renewable Energy Laboratory, and National Energy
# Technology Laboratory ... | 32.631579 | 88 | 0.66819 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,129 | 0.190771 |
54439c9a0c52b928b7dce1ab1fcc8ffac580ad8b | 2,680 | py | Python | lib/googlecloudsdk/sql/tools/instances/delete.py | IsaacHuang/google-cloud-sdk | 52afa5d1a75dff08f4f5380c5cccc015bf796ca5 | [
"Apache-2.0"
] | null | null | null | lib/googlecloudsdk/sql/tools/instances/delete.py | IsaacHuang/google-cloud-sdk | 52afa5d1a75dff08f4f5380c5cccc015bf796ca5 | [
"Apache-2.0"
] | null | null | null | lib/googlecloudsdk/sql/tools/instances/delete.py | IsaacHuang/google-cloud-sdk | 52afa5d1a75dff08f4f5380c5cccc015bf796ca5 | [
"Apache-2.0"
] | null | null | null | # Copyright 2013 Google Inc. All Rights Reserved.
"""Deletes a Cloud SQL instance."""
from googlecloudapis.apitools.base import py as apitools_base
from googlecloudsdk.calliope import base
from googlecloudsdk.calliope import exceptions
from googlecloudsdk.core import log
from googlecloudsdk.core.util import console_io... | 31.904762 | 79 | 0.701493 | 2,319 | 0.865299 | 0 | 0 | 377 | 0.140672 | 0 | 0 | 1,301 | 0.485448 |
5445ab0135e0f3ff0f80b808bab631bc81bb1f98 | 804 | py | Python | nsapiwrapper/exceptions.py | DolphDev/nsapiwrapper | cd67be445cfc4845f822ff815f3fb265f75061c9 | [
"MIT"
] | null | null | null | nsapiwrapper/exceptions.py | DolphDev/nsapiwrapper | cd67be445cfc4845f822ff815f3fb265f75061c9 | [
"MIT"
] | null | null | null | nsapiwrapper/exceptions.py | DolphDev/nsapiwrapper | cd67be445cfc4845f822ff815f3fb265f75061c9 | [
"MIT"
] | null | null | null | """Exceptions for this library"""
class NSBaseError(Exception):
"""Base Error for all custom exceptions"""
pass
class RateLimitReached(NSBaseError):
"""Rate Limit was reached"""
class NSServerBaseException(NSBaseError):
"""Exceptions that the server returns"""
pass
class APIError(NSServerBaseEx... | 18.272727 | 46 | 0.705224 | 746 | 0.927861 | 0 | 0 | 0 | 0 | 0 | 0 | 257 | 0.319652 |
544703b0ead742e49b1d2aa2223e76a2cd97299b | 62,639 | py | Python | src.py | edbezci/mapOverlayHumanoid | 95d5e16fb983a7384abea6f51599483274ff0f62 | [
"MIT"
] | null | null | null | src.py | edbezci/mapOverlayHumanoid | 95d5e16fb983a7384abea6f51599483274ff0f62 | [
"MIT"
] | null | null | null | src.py | edbezci/mapOverlayHumanoid | 95d5e16fb983a7384abea6f51599483274ff0f62 | [
"MIT"
] | null | null | null | # lines 1-4 imports the necessary libraries
import pygame
import os
import random
import math
import sys
import hlp
import intro
import dsb # this is the last module with the description files
'''
declaring some global variables beacause in Python, we can set global variables that can be used in future functions
se... | 56.279425 | 200 | 0.61765 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34,756 | 0.554862 |
544732e628a00b56caac8c9cd412468f1e74169a | 8,514 | py | Python | iologik/e2210.py | shannon-jia/iologik | bda254ee1cdb3f4d724fbb9d6fe993257f1cce52 | [
"MIT"
] | null | null | null | iologik/e2210.py | shannon-jia/iologik | bda254ee1cdb3f4d724fbb9d6fe993257f1cce52 | [
"MIT"
] | null | null | null | iologik/e2210.py | shannon-jia/iologik | bda254ee1cdb3f4d724fbb9d6fe993257f1cce52 | [
"MIT"
] | null | null | null | import aiohttp
import asyncio
import async_timeout
import logging
from collections import namedtuple, deque
from .events import Events
from html.parser import HTMLParser
log = logging.getLogger(__name__)
class Parser(HTMLParser):
def handle_starttag(self, tag, attrs):
log.debug("Encountered a start tag:... | 38.7 | 161 | 0.499765 | 8,301 | 0.974982 | 0 | 0 | 0 | 0 | 2,171 | 0.254992 | 1,355 | 0.15915 |
5448e80da68c244752c3380cbc4f039308ae3d65 | 7,009 | py | Python | apps/cmdb/verify/operate.py | yanshicheng/super-ops | dd39fe971bfd0f912cab155b82e41a09aaa47892 | [
"Apache-2.0"
] | null | null | null | apps/cmdb/verify/operate.py | yanshicheng/super-ops | dd39fe971bfd0f912cab155b82e41a09aaa47892 | [
"Apache-2.0"
] | 1 | 2022-01-17T09:34:14.000Z | 2022-01-18T13:32:20.000Z | apps/cmdb/verify/operate.py | yanshicheng/super_ops | dd39fe971bfd0f912cab155b82e41a09aaa47892 | [
"Apache-2.0"
] | null | null | null | from ..models import Classify, Fields, Asset, AssetBind, ClassifyBind
from django.db.models import Q
from collections import OrderedDict
from django.forms.models import model_to_dict
class OperateInstance:
@staticmethod
def get_classify(id):
"""通过ID 查找指定分类表"""
return Classify.objects.filter(id... | 31.859091 | 89 | 0.610786 | 7,309 | 0.975183 | 0 | 0 | 5,608 | 0.748232 | 0 | 0 | 1,465 | 0.195464 |
544b2254aa27aedc58e9f1dae64e313ac23e420d | 525 | py | Python | glass/mirror.py | fwcd/glass | eba5321753a41e4ebb28f6933ec554c104cb0f4c | [
"MIT"
] | 2 | 2021-02-01T23:06:35.000Z | 2022-01-12T15:39:30.000Z | glass/mirror.py | fwcd/glass | eba5321753a41e4ebb28f6933ec554c104cb0f4c | [
"MIT"
] | 1 | 2022-03-18T04:07:58.000Z | 2022-03-19T18:00:08.000Z | glass/mirror.py | fwcd/glass | eba5321753a41e4ebb28f6933ec554c104cb0f4c | [
"MIT"
] | null | null | null | import subprocess
from pathlib import Path
from urllib.parse import urlparse
def mirror_repo(repo_url, target_dir):
repo_dir = Path(str(target_dir) + urlparse(repo_url).path)
repo_dir.parent.mkdir(parents=True, exist_ok=True)
if repo_dir.exists():
print(f'Updating from {repo_url}...')
subp... | 35 | 88 | 0.67619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 104 | 0.198095 |
544bbee47e78ee286a199342f8cffdd22f773ed2 | 3,880 | py | Python | modeling/__init__.py | WinstonHuTiger/BOEMD-UNet | f81a0506b8b8a90fd783afcda61f28acb113fc77 | [
"MIT"
] | 2 | 2021-10-03T11:49:32.000Z | 2021-12-15T11:40:52.000Z | modeling/__init__.py | WinstonHuTiger/BOEMD-UNet | f81a0506b8b8a90fd783afcda61f28acb113fc77 | [
"MIT"
] | null | null | null | modeling/__init__.py | WinstonHuTiger/BOEMD-UNet | f81a0506b8b8a90fd783afcda61f28acb113fc77 | [
"MIT"
] | null | null | null | import os
import torch
from modeling.unet import *
from modeling.bAttenUnet import MDecoderUNet, MMultiBAUNet, MMultiBUNet
def build_model(args, nchannels, nclass, model='unet'):
if model == 'unet':
return UNet(
n_channels=nchannels,
n_classes=nclass,
bilinear=True,
... | 27.51773 | 85 | 0.559794 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 422 | 0.108763 |
544c328461515102957fb6ba2f7ecaadd80e93ff | 1,356 | py | Python | A.py | JK-Incorporated/EYN-DOS | 6dc331655b5fd04e6d37651ea79ac4e204bfd52e | [
"BSD-3-Clause"
] | null | null | null | A.py | JK-Incorporated/EYN-DOS | 6dc331655b5fd04e6d37651ea79ac4e204bfd52e | [
"BSD-3-Clause"
] | null | null | null | A.py | JK-Incorporated/EYN-DOS | 6dc331655b5fd04e6d37651ea79ac4e204bfd52e | [
"BSD-3-Clause"
] | null | null | null | import os
from os import listdir
from os.path import isfile, join
dir_path = os.path.dirname(os.path.realpath(__file__))
filesys = [f for f in listdir(dir_path) if isfile(join(dir_path, f))]
def get_dir_size(path=dir_path):
total = 0
with os.scandir(dir_path) as it:
for entry in it:
if en... | 22.229508 | 69 | 0.526549 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 152 | 0.112094 |
544ec34dfb38023e11066f7adf551926d37772c9 | 3,111 | py | Python | api_site/src/api_x/application/entry/bankcard_views.py | webee/pay | b48c6892686bf3f9014bb67ed119506e41050d45 | [
"W3C"
] | 1 | 2019-10-14T11:51:49.000Z | 2019-10-14T11:51:49.000Z | api_site/src/api_x/application/entry/bankcard_views.py | webee/pay | b48c6892686bf3f9014bb67ed119506e41050d45 | [
"W3C"
] | null | null | null | api_site/src/api_x/application/entry/bankcard_views.py | webee/pay | b48c6892686bf3f9014bb67ed119506e41050d45 | [
"W3C"
] | null | null | null | # coding=utf-8
from __future__ import unicode_literals
from api_x.utils import response
from api_x.utils.entry_auth import verify_request
from flask import request
from . import application_mod as mod
from .. import dba
from .. import bankcard
from api_x.utils.parser import to_bool
from pytoolbox.util.log import get_l... | 34.566667 | 104 | 0.724204 | 0 | 0 | 0 | 0 | 2,739 | 0.880424 | 0 | 0 | 524 | 0.168435 |
544eed2f5a6fd341973e64324b8db14d8a1824d5 | 2,928 | py | Python | httpd/httpd.py | protocollabs/dmprd | c39e75532ae73458b8239b2d21ca69e42b68929f | [
"MIT"
] | 1 | 2018-09-05T08:16:00.000Z | 2018-09-05T08:16:00.000Z | httpd/httpd.py | protocollabs/dmprd | c39e75532ae73458b8239b2d21ca69e42b68929f | [
"MIT"
] | 8 | 2017-01-08T19:11:16.000Z | 2018-09-24T12:20:40.000Z | httpd/httpd.py | protocollabs/dmprd | c39e75532ae73458b8239b2d21ca69e42b68929f | [
"MIT"
] | 2 | 2017-08-23T12:41:02.000Z | 2018-08-17T08:11:35.000Z | import asyncio
import os
try:
from aiohttp import web
except ImportError:
web = None
class Httpd(object):
def __init__(self):
if not web:
print('httpd is specified in conf but aiohttp not available')
return
self.app = web.Application()
self._setup_routes()... | 34.046512 | 100 | 0.565574 | 2,831 | 0.966872 | 0 | 0 | 0 | 0 | 2,036 | 0.695355 | 1,995 | 0.681352 |
5451d6245307e0c41240f5d6be7ea9013b165899 | 196 | py | Python | SImple-Number.py | TonikaHristova/Loops | 55b3f1608cf81d185fe98366450b527350d86f3b | [
"MIT"
] | null | null | null | SImple-Number.py | TonikaHristova/Loops | 55b3f1608cf81d185fe98366450b527350d86f3b | [
"MIT"
] | null | null | null | SImple-Number.py | TonikaHristova/Loops | 55b3f1608cf81d185fe98366450b527350d86f3b | [
"MIT"
] | null | null | null | import math
num = int(input())
is_prime = True
if num < 2:
print("Not prime")
for i in range(2, int(math.sqrt(num)+1)):
if num / i == 0:
is_prime = False
print(is_prime)
| 9.8 | 41 | 0.571429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0.056122 |
54520f95709f73e2e760152d29139cc05ba229e9 | 218 | py | Python | badgify/apps.py | BrendanBerkley/django-badgify | 61203e92cb76982f778caf168d371a72a401db10 | [
"MIT"
] | null | null | null | badgify/apps.py | BrendanBerkley/django-badgify | 61203e92cb76982f778caf168d371a72a401db10 | [
"MIT"
] | null | null | null | badgify/apps.py | BrendanBerkley/django-badgify | 61203e92cb76982f778caf168d371a72a401db10 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class BadgifyConfig(AppConfig):
name = 'badgify'
verbose_name = 'Badgify'
def ready(self):
super(BadgifyConfig, self).ready()
self.module.autodiscover()
| 19.818182 | 42 | 0.674312 | 181 | 0.830275 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0.082569 |
545268aad6cd438a8b86741579655c5f5b28ba41 | 249 | py | Python | test/test_i18n.py | timgates42/uliweb | 80c0459c5e5d257b665eb2e1d0b5f68ad55c42f1 | [
"BSD-2-Clause"
] | 202 | 2015-01-12T08:10:48.000Z | 2021-11-08T09:04:32.000Z | test/test_i18n.py | timgates42/uliweb | 80c0459c5e5d257b665eb2e1d0b5f68ad55c42f1 | [
"BSD-2-Clause"
] | 30 | 2015-01-01T09:07:17.000Z | 2021-06-03T12:58:45.000Z | test/test_i18n.py | timgates42/uliweb | 80c0459c5e5d257b665eb2e1d0b5f68ad55c42f1 | [
"BSD-2-Clause"
] | 58 | 2015-01-12T03:28:54.000Z | 2022-01-14T01:58:08.000Z | from uliweb.i18n import ugettext_lazy as _
def test_1():
"""
>>> x = _('Hello')
>>> print repr(x)
ugettext_lazy('Hello')
"""
def test_1():
"""
>>> x = _('Hello {0}')
>>> print x.format('name')
Hello name
""" | 16.6 | 42 | 0.48996 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 167 | 0.670683 |
545316d49d38f35bdeec6536c47e60475a119d98 | 1,041 | py | Python | KeyBoardControlImageCaptue.py | Prashant-1305/Tello-Drone | 11c3f845a9887c66ac7e52e042dfd28f23555d2e | [
"MIT"
] | null | null | null | KeyBoardControlImageCaptue.py | Prashant-1305/Tello-Drone | 11c3f845a9887c66ac7e52e042dfd28f23555d2e | [
"MIT"
] | null | null | null | KeyBoardControlImageCaptue.py | Prashant-1305/Tello-Drone | 11c3f845a9887c66ac7e52e042dfd28f23555d2e | [
"MIT"
] | null | null | null | import KeyPressModule as kp
from djitellopy import tello
import time
import cv2
global img
kp.init()
skynet = tello.Tello()
skynet.connect()
print(skynet.get_battery())
skynet.streamon()
def getKeyboardInput():
lr, fb, ud, yv = 0, 0, 0, 0
speed = 50
if kp.getKey("LEFT"): lr = -speed
elif kp.getKey(... | 22.148936 | 74 | 0.616715 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 123 | 0.118156 |
545376512fee3de8e6da4487e774ee09c7ad912d | 1,479 | py | Python | cnns/foolbox/foolbox_2_3_0/tests/test_model_zoo.py | anonymous-user-commits/perturb-net | 66fc7c4a1234fa34b92bcc85751f0a6e23d80a23 | [
"MIT"
] | 12 | 2021-07-27T07:18:24.000Z | 2022-03-09T13:52:20.000Z | cnns/foolbox/foolbox_2_3_0/tests/test_model_zoo.py | anonymous-user-commits/perturb-net | 66fc7c4a1234fa34b92bcc85751f0a6e23d80a23 | [
"MIT"
] | 2 | 2021-08-03T09:21:33.000Z | 2021-12-29T14:25:30.000Z | cnns/foolbox/foolbox_2_3_0/tests/test_model_zoo.py | anonymous-user-commits/perturb-net | 66fc7c4a1234fa34b92bcc85751f0a6e23d80a23 | [
"MIT"
] | 3 | 2021-11-18T14:46:40.000Z | 2022-01-03T15:47:23.000Z | from foolbox import zoo
import numpy as np
import foolbox
import sys
import pytest
from foolbox.zoo.model_loader import ModelLoader
from os.path import join, dirname
@pytest.fixture(autouse=True)
def unload_foolbox_model_module():
# reload foolbox_model from scratch for every run
# to ensure atomic tests with... | 27.90566 | 76 | 0.694388 | 0 | 0 | 0 | 0 | 836 | 0.565247 | 0 | 0 | 484 | 0.327248 |
54538684df9453f633582e0d87edd283242082a7 | 8,464 | py | Python | tests/unit/nistbeacon/test_nistbeacon.py | urda/py_nist_beacon | 0251970ec31bc370c326c4c3c3b93a5513bdc028 | [
"Apache-2.0"
] | 11 | 2017-05-06T02:42:34.000Z | 2021-02-11T10:13:09.000Z | tests/unit/nistbeacon/test_nistbeacon.py | urda/nistbeacon | 0251970ec31bc370c326c4c3c3b93a5513bdc028 | [
"Apache-2.0"
] | 31 | 2015-12-13T12:04:10.000Z | 2021-01-27T02:34:34.000Z | tests/unit/nistbeacon/test_nistbeacon.py | urda/py_nist_beacon | 0251970ec31bc370c326c4c3c3b93a5513bdc028 | [
"Apache-2.0"
] | 1 | 2015-12-25T03:50:25.000Z | 2015-12-25T03:50:25.000Z | """
Copyright 2015-2017 Peter Urda
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, softwar... | 34.129032 | 79 | 0.69258 | 7,630 | 0.901465 | 0 | 0 | 7,522 | 0.888705 | 0 | 0 | 813 | 0.096054 |
54539ddc987a464c0db1b706648667e1f538fd7a | 5,417 | py | Python | aae/auto_pose/visualization/render_pose.py | shbe-aau/multi-pose-estimation | 0425ed9dcc7969f0281cb435615abc33c640e157 | [
"MIT"
] | 4 | 2021-12-28T09:25:06.000Z | 2022-01-13T12:55:44.000Z | aae/auto_pose/visualization/render_pose.py | shbe-aau/multi-view-pose-estimation | 22cea6cd09684fe655fb2214bc14856f589048e1 | [
"MIT"
] | null | null | null | aae/auto_pose/visualization/render_pose.py | shbe-aau/multi-view-pose-estimation | 22cea6cd09684fe655fb2214bc14856f589048e1 | [
"MIT"
] | 1 | 2022-01-13T13:00:15.000Z | 2022-01-13T13:00:15.000Z |
import cv2
import numpy as np
import os
from auto_pose.meshrenderer import meshrenderer
from auto_pose.ae.utils import lazy_property
class PoseVisualizer:
def __init__(self, mp_pose_estimator, downsample=1, vertex_scale=False):
self.downsample = downsample
self.vertex_scale = [mp_pose_estimator... | 47.517544 | 158 | 0.567288 | 5,269 | 0.972679 | 0 | 0 | 281 | 0.051874 | 0 | 0 | 549 | 0.101348 |
5454b8f602a3ea5235a7102af61b547b5c4c3b31 | 1,128 | py | Python | client/nodes/common/docker_subsriber.py | CanboYe/BusEdge | 2e53e1d1d82559fc3e9f0029b2f0faf4e356b210 | [
"MIT",
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | 2 | 2021-08-17T14:14:28.000Z | 2022-02-02T02:09:33.000Z | client/nodes/common/docker_subsriber.py | cmusatyalab/gabriel-BusEdge | 528a6ee337882c6e709375ecd7ec7e201083c825 | [
"MIT",
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | client/nodes/common/docker_subsriber.py | cmusatyalab/gabriel-BusEdge | 528a6ee337882c6e709375ecd7ec7e201083c825 | [
"MIT",
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | 1 | 2021-09-01T16:18:29.000Z | 2021-09-01T16:18:29.000Z | # SPDX-FileCopyrightText: 2021 Carnegie Mellon University
#
# SPDX-License-Identifier: Apache-2.0
import cv2
import numpy as np
import rospy
from gabriel_protocol import gabriel_pb2
from std_msgs.msg import UInt8MultiArray
def run_node(client_filter, source_name):
rospy.init_node(source_name + "_subscriber_node"... | 29.684211 | 72 | 0.720745 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 433 | 0.383865 |
54562608a59ce9476a71d70e032f5d5bf8f6d75b | 138 | py | Python | datx/base_station.py | ipipdotnet/datx-python | 68d6e99363abc6ae48714be38aa90a5ae6e20fd4 | [
"Apache-2.0"
] | 39 | 2018-03-13T02:48:36.000Z | 2021-03-18T07:51:54.000Z | datx/base_station.py | ipipdotnet/datx-python | 68d6e99363abc6ae48714be38aa90a5ae6e20fd4 | [
"Apache-2.0"
] | 1 | 2018-11-06T08:30:31.000Z | 2018-11-06T08:30:31.000Z | datx/base_station.py | ipipdotnet/datx-python | 68d6e99363abc6ae48714be38aa90a5ae6e20fd4 | [
"Apache-2.0"
] | 10 | 2018-04-28T02:07:08.000Z | 2020-11-09T04:26:47.000Z | # -*- coding: utf-8 -*-
"""
:copyright: ©2018 by IPIP.net
"""
from .district import District
class BaseStation(District):
pass | 15.333333 | 33 | 0.623188 | 37 | 0.266187 | 0 | 0 | 0 | 0 | 0 | 0 | 67 | 0.482014 |
5456722cbb51619ad54be3201718c3cfa01f24c7 | 13,034 | py | Python | cogs/user.py | billydevyt/RoboBilly | 6d79ab9626a6d6b487dd73688ad7187212e7864c | [
"MIT"
] | 6 | 2020-11-07T16:46:18.000Z | 2021-01-03T11:52:39.000Z | cogs/user.py | billyeatcookies/RoboBilly | 6d79ab9626a6d6b487dd73688ad7187212e7864c | [
"MIT"
] | 3 | 2020-11-30T01:52:41.000Z | 2021-01-03T11:53:18.000Z | cogs/user.py | billyeatcookies/RoboBilly | 6d79ab9626a6d6b487dd73688ad7187212e7864c | [
"MIT"
] | 7 | 2021-04-17T07:27:58.000Z | 2021-08-31T15:21:42.000Z | """
User module
"""
import discord
import random
import asyncio
from discord.ext import commands
from discord.ext.commands import has_permissions, MissingPermissions, BadArgument
import requests, json, pyfiglet
from datetime import timedelta, datetime
class User(commands.Cog):
api_key = "bbde6a19c33fb4c3962e36b... | 43.15894 | 490 | 0.603192 | 12,655 | 0.970103 | 0 | 0 | 10,583 | 0.811269 | 9,665 | 0.740897 | 4,701 | 0.360368 |
5459131a00c531976bbf1bad787c4cbce19610f5 | 622 | py | Python | wsu/tools/simx/simx/python/simx/protomap/util.py | tinyos-io/tinyos-3.x-contrib | 3aaf036722a2afc0c0aad588459a5c3e00bd3c01 | [
"BSD-3-Clause",
"MIT"
] | 1 | 2020-02-28T20:35:09.000Z | 2020-02-28T20:35:09.000Z | wsu/tools/simx/simx/python/simx/protomap/util.py | tinyos-io/tinyos-3.x-contrib | 3aaf036722a2afc0c0aad588459a5c3e00bd3c01 | [
"BSD-3-Clause",
"MIT"
] | null | null | null | wsu/tools/simx/simx/python/simx/protomap/util.py | tinyos-io/tinyos-3.x-contrib | 3aaf036722a2afc0c0aad588459a5c3e00bd3c01 | [
"BSD-3-Clause",
"MIT"
] | null | null | null | def sync_read(socket, size):
"""
Perform a (temporary) blocking read.
The amount read may be smaller than the amount requested if a
timeout occurs.
"""
timeout = socket.gettimeout()
socket.settimeout(None)
try:
return socket.recv(size)
finally:
socket.settimeout(time... | 22.214286 | 65 | 0.607717 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 192 | 0.308682 |
545b4ee6fb3b667ccf9bf2aadc9dfb4077e4dee6 | 976 | py | Python | mergeKsortedlist.py | ZhouLihua/leetcode | 7a711e450756fb7b5648e938879d690e583f5957 | [
"MIT"
] | 2 | 2019-05-16T03:11:44.000Z | 2019-10-25T03:20:05.000Z | mergeKsortedlist.py | ZhouLihua/leetcode | 7a711e450756fb7b5648e938879d690e583f5957 | [
"MIT"
] | null | null | null | mergeKsortedlist.py | ZhouLihua/leetcode | 7a711e450756fb7b5648e938879d690e583f5957 | [
"MIT"
] | null | null | null | #Definition for singly-linked list.
class ListNode(object):
def __init__(self, x):
self.val = x
self.next = None
import sys
class Solution(object):
def mergeKLists(self, lists):
"""
:type lists: List[ListNode]
:rtype: ListNode
"""
temp = ListNode(-1)
... | 27.885714 | 50 | 0.482582 | 926 | 0.94877 | 0 | 0 | 0 | 0 | 0 | 0 | 111 | 0.11373 |
545c039475e437fcfe31a7978e08b358e2864ddd | 1,334 | py | Python | f5/bigip/tm/vcmp/test/unit/test_virtual_disk.py | nghia-tran/f5-common-python | acb23a6e5830a119b460c19a578654113419f5c3 | [
"Apache-2.0"
] | 272 | 2016-02-23T06:05:44.000Z | 2022-02-20T02:09:32.000Z | f5/bigip/tm/vcmp/test/unit/test_virtual_disk.py | nghia-tran/f5-common-python | acb23a6e5830a119b460c19a578654113419f5c3 | [
"Apache-2.0"
] | 1,103 | 2016-02-11T17:48:03.000Z | 2022-02-15T17:13:37.000Z | f5/bigip/tm/vcmp/test/unit/test_virtual_disk.py | nghia-tran/f5-common-python | acb23a6e5830a119b460c19a578654113419f5c3 | [
"Apache-2.0"
] | 167 | 2016-02-11T17:48:21.000Z | 2022-01-17T20:13:05.000Z | # Copyright 2017 F5 Networks Inc.
#
# 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... | 29.644444 | 74 | 0.749625 | 0 | 0 | 0 | 0 | 89 | 0.066717 | 0 | 0 | 675 | 0.505997 |
545c6c254ab620127f5ce9a6e6a0f63adc08b458 | 1,281 | py | Python | tinylinks/admin.py | lavindiuss/django-shorter | 50bc018e762b396cd9bc71991f6ea1329aaceddd | [
"MIT"
] | null | null | null | tinylinks/admin.py | lavindiuss/django-shorter | 50bc018e762b396cd9bc71991f6ea1329aaceddd | [
"MIT"
] | null | null | null | tinylinks/admin.py | lavindiuss/django-shorter | 50bc018e762b396cd9bc71991f6ea1329aaceddd | [
"MIT"
] | null | null | null | """Admin sites for the ``django-tinylinks`` app."""
from django.contrib import admin
from django.template.defaultfilters import truncatechars
from django.utils.translation import ugettext_lazy as _
from django.template.loader import render_to_string
from tinylinks.forms import TinylinkAdminForm
from tinylinks.models ... | 28.466667 | 76 | 0.699454 | 826 | 0.644809 | 0 | 0 | 0 | 0 | 0 | 0 | 301 | 0.234973 |
545c8aae9bf713a7f6422a8269de2049905dd92f | 562 | py | Python | wk11frontend.py | alvaro-root/pa2_2021 | fee3931f9e10a7d39af9bf2ce5f033e41621bbda | [
"MIT"
] | null | null | null | wk11frontend.py | alvaro-root/pa2_2021 | fee3931f9e10a7d39af9bf2ce5f033e41621bbda | [
"MIT"
] | null | null | null | wk11frontend.py | alvaro-root/pa2_2021 | fee3931f9e10a7d39af9bf2ce5f033e41621bbda | [
"MIT"
] | null | null | null | import requests
import json
def main():
host = "http://localhost:5006"
urlpattern = "/user/"
response = requests.post(f"{host}{urlpattern}", json={'key1': 'random value'})
if 199 < response.status_code < 300:
for k, v in response.headers.items():
print(f"{k} -> {v}")
prin... | 21.615385 | 82 | 0.551601 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 170 | 0.302491 |
545fd8631d933f37ee5ed9022359f6f1a7a06f4b | 73 | py | Python | software/python/XilinxKcu1500Pgp3/__init__.py | ejangelico/cryo-on-epix-hr-dev | 354bf205a67d3c43b4e815823dd78cec85d3b672 | [
"BSD-3-Clause-LBNL"
] | 1 | 2021-05-24T22:01:54.000Z | 2021-05-24T22:01:54.000Z | software/python/XilinxKcu1500Pgp3/__init__.py | ejangelico/cryo-on-epix-hr-dev | 354bf205a67d3c43b4e815823dd78cec85d3b672 | [
"BSD-3-Clause-LBNL"
] | 1 | 2021-02-25T20:27:36.000Z | 2021-03-31T17:55:08.000Z | software/python/XilinxKcu1500Pgp3/__init__.py | ejangelico/cryo-on-epix-hr-dev | 354bf205a67d3c43b4e815823dd78cec85d3b672 | [
"BSD-3-Clause-LBNL"
] | 4 | 2020-10-21T21:39:37.000Z | 2021-07-24T02:19:34.000Z | #!/usr/bin/env python
from XilinxKcu1500Pgp3.XilinxKcu1500Pgp3 import *
| 18.25 | 49 | 0.808219 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0.287671 |
545fe80c1b80eb166756266947e1f74465ae48f6 | 2,517 | py | Python | files/files.py | StevenKangWei/tools | f0de7d2202dbe979b06ba8344addad6df6e96320 | [
"MIT"
] | 15 | 2021-07-06T13:03:09.000Z | 2022-03-05T04:18:13.000Z | files/files.py | StevenKangWei/tools | f0de7d2202dbe979b06ba8344addad6df6e96320 | [
"MIT"
] | 1 | 2021-12-03T05:39:24.000Z | 2021-12-03T05:39:24.000Z | files/files.py | StevenKangWei/tools | f0de7d2202dbe979b06ba8344addad6df6e96320 | [
"MIT"
] | 5 | 2021-07-30T09:31:31.000Z | 2022-01-03T06:30:25.000Z | #!/usr/bin/python
import os
import glob
import traceback
import datetime
import dandan
from flask import Flask
from flask import abort
from flask import send_file
from flask import send_from_directory
from flask import render_template
from werkzeug.routing import BaseConverter
import config
__VERSI... | 25.683673 | 90 | 0.642034 | 127 | 0.050457 | 0 | 0 | 233 | 0.092571 | 0 | 0 | 247 | 0.098133 |
546042473af828587af78168aa3e36324191b2db | 2,961 | py | Python | jdcloud_sdk/services/iotcore/models/DeviceVO.py | Tanc009/jdcloud-sdk-python | 8b045c99bc5b73ca7348e950b6f01e03a27982f5 | [
"Apache-2.0"
] | 14 | 2018-04-19T09:53:56.000Z | 2022-01-27T06:05:48.000Z | jdcloud_sdk/services/iotcore/models/DeviceVO.py | Tanc009/jdcloud-sdk-python | 8b045c99bc5b73ca7348e950b6f01e03a27982f5 | [
"Apache-2.0"
] | 15 | 2018-09-11T05:39:54.000Z | 2021-07-02T12:38:02.000Z | jdcloud_sdk/services/iotcore/models/DeviceVO.py | Tanc009/jdcloud-sdk-python | 8b045c99bc5b73ca7348e950b6f01e03a27982f5 | [
"Apache-2.0"
] | 33 | 2018-04-20T05:29:16.000Z | 2022-02-17T09:10:05.000Z | # coding=utf8
# Copyright 2018 JDCLOUD.COM
#
# 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 ... | 43.544118 | 401 | 0.69875 | 2,592 | 0.794361 | 0 | 0 | 0 | 0 | 0 | 0 | 1,988 | 0.609255 |
54607def7c2c2dd5026968fee33155a24a8770a7 | 155 | py | Python | satyrus/sat/types/__init__.py | lucasvg/Satyrus3-FinalProject-EspTopsOTM | 024785752abdc46e3463d8c94df7c3da873c354d | [
"MIT"
] | null | null | null | satyrus/sat/types/__init__.py | lucasvg/Satyrus3-FinalProject-EspTopsOTM | 024785752abdc46e3463d8c94df7c3da873c354d | [
"MIT"
] | null | null | null | satyrus/sat/types/__init__.py | lucasvg/Satyrus3-FinalProject-EspTopsOTM | 024785752abdc46e3463d8c94df7c3da873c354d | [
"MIT"
] | null | null | null | from .array import Array
from .string import String
from .problem import Constraint, Loop
from .main import SatType, Var, Number
from .expr import Expr | 31 | 39 | 0.780645 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
54615497a597809e722b75e586e88b607f457119 | 470 | py | Python | magma/backend/util.py | Kuree/magma | be2439aa897768c5810be72e3a55a6f772ac83cf | [
"MIT"
] | null | null | null | magma/backend/util.py | Kuree/magma | be2439aa897768c5810be72e3a55a6f772ac83cf | [
"MIT"
] | null | null | null | magma/backend/util.py | Kuree/magma | be2439aa897768c5810be72e3a55a6f772ac83cf | [
"MIT"
] | null | null | null | import os
__magma_codegen_debug_info = False
if os.environ.get("MAGMA_CODEGEN_DEBUG_INFO", False):
__magma_codegen_debug_info = True
def set_codegen_debug_info(val):
global __magma_codegen_debug_info
__magma_codegen_debug_info = val
def get_codegen_debug_info():
return __magma_codegen_debug_info
... | 21.363636 | 53 | 0.77234 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0.055319 |
546277ddd1038ab1b79d6538508e871a2186c14c | 3,560 | py | Python | src/backend/main.py | tuimac/servertools | ceda2685a248d700f48aea4f93887b0f89a264a8 | [
"MIT"
] | null | null | null | src/backend/main.py | tuimac/servertools | ceda2685a248d700f48aea4f93887b0f89a264a8 | [
"MIT"
] | null | null | null | src/backend/main.py | tuimac/servertools | ceda2685a248d700f48aea4f93887b0f89a264a8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from subprocess import Popen, PIPE, DEVNULL, run
import socket
import sys
import traceback
import argparse
import time
import logging
import os
logger = logging.getLogger("django")
def startProcess(command, port):
try:
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
... | 30.169492 | 108 | 0.538202 | 301 | 0.084551 | 0 | 0 | 0 | 0 | 0 | 0 | 808 | 0.226966 |
5463fe7521a3910ac70e77bb4ec4fc1c354e171b | 35 | py | Python | pyble/const/characteristic/sensor_location.py | bgromov/PyBLEWrapper | 8a5d016e65b3c259391ddc97c371ab4b1b5c61b5 | [
"MIT"
] | 14 | 2015-03-30T23:11:36.000Z | 2020-04-07T00:57:12.000Z | pyble/const/characteristic/sensor_location.py | bgromov/PyBLEWrapper | 8a5d016e65b3c259391ddc97c371ab4b1b5c61b5 | [
"MIT"
] | 3 | 2016-05-17T06:11:07.000Z | 2017-05-15T16:43:09.000Z | pyble/const/characteristic/sensor_location.py | bgromov/PyBLEWrapper | 8a5d016e65b3c259391ddc97c371ab4b1b5c61b5 | [
"MIT"
] | 11 | 2016-03-11T08:53:03.000Z | 2019-03-11T21:32:13.000Z | NAME="Sensor Location"
UUID=0x2A5D
| 11.666667 | 22 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0.485714 |
546484ce8b5ed762d88a0033bf3308f52967f631 | 296 | py | Python | active-learning/seq_data.py | ansunsujoe/ml-research | 7ab529a5ec1d420385e64b9eebf87e0847b85afd | [
"MIT"
] | null | null | null | active-learning/seq_data.py | ansunsujoe/ml-research | 7ab529a5ec1d420385e64b9eebf87e0847b85afd | [
"MIT"
] | null | null | null | active-learning/seq_data.py | ansunsujoe/ml-research | 7ab529a5ec1d420385e64b9eebf87e0847b85afd | [
"MIT"
] | null | null | null | import random
from tqdm import tqdm
def random_seq():
return [str(random.randint(1, 9)) for x in range(random.randint(2, 15))]
if __name__ == "__main__":
with open("sequences-1-train.txt", "w") as f:
for i in tqdm(range(5000)):
f.write(",".join(random_seq()) + "\n") | 29.6 | 76 | 0.614865 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43 | 0.14527 |
546488ac5fe6da6a714985e1c5c6692b62df9032 | 3,585 | py | Python | datatest/main.py | ajhynes7/datatest | 78742e98de992807286655f5685a2dc33a7b452e | [
"Apache-2.0"
] | 277 | 2016-05-12T13:22:49.000Z | 2022-03-11T00:18:32.000Z | datatest/main.py | ajhynes7/datatest | 78742e98de992807286655f5685a2dc33a7b452e | [
"Apache-2.0"
] | 57 | 2016-05-18T01:03:32.000Z | 2022-02-17T13:48:43.000Z | datatest/main.py | ajhynes7/datatest | 78742e98de992807286655f5685a2dc33a7b452e | [
"Apache-2.0"
] | 16 | 2016-05-22T11:35:19.000Z | 2021-12-01T19:41:42.000Z | """Datatest main program"""
import sys as _sys
from unittest import TestProgram as _TestProgram
from unittest import defaultTestLoader as _defaultTestLoader
try:
from unittest.signals import installHandler
except ImportError:
installHandler = None
from datatest import DataTestRunner
__unittest = True
__datat... | 38.138298 | 80 | 0.538633 | 1,883 | 0.525244 | 0 | 0 | 0 | 0 | 0 | 0 | 301 | 0.083961 |
54655fd5e9013ea6eec439615853e317aa7b100b | 17,503 | py | Python | zvmsdk/vmops.py | jasealpers/python-zvm-sdk | feb19dd40915b1a6cad74e7ccda17bc76d015ea5 | [
"Apache-2.0"
] | 9 | 2017-06-13T17:46:33.000Z | 2019-01-08T03:00:00.000Z | zvmsdk/vmops.py | jasealpers/python-zvm-sdk | feb19dd40915b1a6cad74e7ccda17bc76d015ea5 | [
"Apache-2.0"
] | 4 | 2018-07-18T21:41:21.000Z | 2019-01-07T06:05:15.000Z | zvmsdk/vmops.py | jasealpers/python-zvm-sdk | feb19dd40915b1a6cad74e7ccda17bc76d015ea5 | [
"Apache-2.0"
] | 20 | 2017-02-27T09:46:13.000Z | 2019-05-29T23:17:52.000Z | # Copyright 2017 IBM Corp.
#
# 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 t... | 40.144495 | 79 | 0.588642 | 16,527 | 0.944238 | 0 | 0 | 0 | 0 | 0 | 0 | 4,442 | 0.253785 |
546685a1cd267c088cdbed690f4354973078c4ca | 3,481 | py | Python | Q146.py | Linchin/python_leetcode_git | 3d08ab04bbdbd2ce268f33c501fbb149662872c7 | [
"MIT"
] | null | null | null | Q146.py | Linchin/python_leetcode_git | 3d08ab04bbdbd2ce268f33c501fbb149662872c7 | [
"MIT"
] | null | null | null | Q146.py | Linchin/python_leetcode_git | 3d08ab04bbdbd2ce268f33c501fbb149662872c7 | [
"MIT"
] | null | null | null | """
Q146
LRU Cache
Medium
Author: Lingqing Gan
Date: 08/06/2019
Question:
Design and implement a data structure for Least Recently Used (LRU) cache.
It should support the following operations: get and put.
get(key) - Get the value (will always be positive) of the key if the key
exists in the cache, otherwise return ... | 26.172932 | 76 | 0.600402 | 2,325 | 0.667912 | 0 | 0 | 0 | 0 | 0 | 0 | 1,341 | 0.385234 |
54670eac7c97edca8f6b8dd01151c748a6156511 | 9,940 | py | Python | bin/genparams.py | neonkingfr/VizBench | e41f559cb6e761d717f2f5b202482d5d8dacd2d8 | [
"MIT"
] | 7 | 2015-01-05T06:32:49.000Z | 2020-10-30T19:29:07.000Z | bin/genparams.py | neonkingfr/VizBench | e41f559cb6e761d717f2f5b202482d5d8dacd2d8 | [
"MIT"
] | null | null | null | bin/genparams.py | neonkingfr/VizBench | e41f559cb6e761d717f2f5b202482d5d8dacd2d8 | [
"MIT"
] | 4 | 2016-03-09T22:29:26.000Z | 2021-04-07T13:52:28.000Z | # This script reads *VizParams.list files that define Vizlet parameters
# and generates .h files for them, making runtime access to them much faster.
# This allows new parameters to be added just by editing one file.
import sys
import os
import re
types={"bool":"BOOL","int":"INT","double":"DBL","string":"STR"}
realt... | 27.458564 | 124 | 0.609557 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,639 | 0.466606 |
54685a8741677f7fae5e8b83b5e24b77c1c400f9 | 712 | py | Python | notebooks/session_4/s3-sobelAndmatplotlib.py | bigmpc/cv-spring-2021 | 81d9384f74f5411804cdbb26be5b7ced0d0f5958 | [
"Apache-2.0"
] | 3 | 2021-03-09T10:00:50.000Z | 2021-12-26T07:19:09.000Z | notebooks/session_4/s3-sobelAndmatplotlib.py | bigmpc/cv-spring-2021 | 81d9384f74f5411804cdbb26be5b7ced0d0f5958 | [
"Apache-2.0"
] | null | null | null | notebooks/session_4/s3-sobelAndmatplotlib.py | bigmpc/cv-spring-2021 | 81d9384f74f5411804cdbb26be5b7ced0d0f5958 | [
"Apache-2.0"
] | 1 | 2021-02-27T16:09:30.000Z | 2021-02-27T16:09:30.000Z | import cv2
import numpy as np
import matplotlib.pyplot as plt
#Read the image as grayscale:
image = cv2.imread('building.jpg', 0)
#Compute the gradient approximations using the Sobel operator:
dx = cv2.Sobel(image, cv2.CV_32F, 1, 0)
dy = cv2.Sobel(image, cv2.CV_32F, 0, 1)
#Visualize the results:
plt.figu... | 19.777778 | 63 | 0.671348 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 199 | 0.279494 |
5468626a4d8739106b686cc86e072541eeccc86e | 956 | py | Python | reporter-cli/sql-pdf/python/src/reporterprimary/__init__.py | rgolubtsov/reporter-multilang | 6d7e04bbd57342ea80e1beccea3c4de1b1c4e203 | [
"Unlicense"
] | 3 | 2017-04-28T16:40:22.000Z | 2019-02-22T16:57:12.000Z | reporter-cli/sql-pdf/python/src/reporterprimary/__init__.py | rgolubtsov/reporter-multilang | 6d7e04bbd57342ea80e1beccea3c4de1b1c4e203 | [
"Unlicense"
] | 46 | 2017-01-17T01:10:15.000Z | 2019-06-13T20:45:12.000Z | reporter-cli/sql-pdf/python/src/reporterprimary/__init__.py | rgolubtsov/reporter-multilang | 6d7e04bbd57342ea80e1beccea3c4de1b1c4e203 | [
"Unlicense"
] | 1 | 2017-07-06T14:18:55.000Z | 2017-07-06T14:18:55.000Z | # -*- coding: utf-8 -*-
# reporter-cli/sql-pdf/python/src/reporterprimary/__init__.py
# =============================================================================
# Reporter Multilang. Version 0.5.9
# =============================================================================
# A tool to generate human-readable re... | 45.52381 | 79 | 0.561715 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 936 | 0.979079 |
5468c394ce1fe6e2cc2dd6fce2fd7d4c6e567c44 | 3,494 | py | Python | bem/teq_planet.py | DanielAndreasen/bem | c4cca79322f08b5e9a3f3d39749c11d9f6296aae | [
"MIT"
] | null | null | null | bem/teq_planet.py | DanielAndreasen/bem | c4cca79322f08b5e9a3f3d39749c11d9f6296aae | [
"MIT"
] | null | null | null | bem/teq_planet.py | DanielAndreasen/bem | c4cca79322f08b5e9a3f3d39749c11d9f6296aae | [
"MIT"
] | null | null | null | import numpy as np
from uncertainties import umath as um
def getTeqpl(Teffst, aR, ecc, A=0, f=1/4.):
"""Return the planet equilibrium temperature.
Relation adapted from equation 4 page 4 in http://www.mpia.de/homes/ppvi/chapter/madhusudhan.pdf
and https://en.wikipedia.org/wiki/Stefan%E2%80%93Boltzmann_law... | 48.527778 | 100 | 0.660561 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,811 | 0.804522 |
5469add1bc5b0732388dfd9a2adc569e52915599 | 1,656 | py | Python | poppy/data_preprocess.py | phanxuanphucnd/BertTextClassification | c9a0500f07d831f924f56cc8211569b035c6e47a | [
"MIT"
] | 1 | 2021-06-14T21:03:04.000Z | 2021-06-14T21:03:04.000Z | poppy/data_preprocess.py | phanxuanphucnd/BertTextClassification | c9a0500f07d831f924f56cc8211569b035c6e47a | [
"MIT"
] | null | null | null | poppy/data_preprocess.py | phanxuanphucnd/BertTextClassification | c9a0500f07d831f924f56cc8211569b035c6e47a | [
"MIT"
] | null | null | null | import pandas as pd
import re
import os
from tqdm import tqdm
## Cleaning train raw dataset
train = open('./data/raw/train.crash').readlines()
train_ids = []
train_texts = []
train_labels = []
for id, line in tqdm(enumerate(train)):
line = line.strip()
if line.startswith("train_"):
train_ids.append... | 23.323944 | 80 | 0.618357 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 277 | 0.167271 |
546a32ceac58022d2ad2cfb8c9d2804371eb31f5 | 6,456 | py | Python | websaw/core/app.py | valq7711/websaw | fb5718ad3ecd011d7fbb3f24fa007d84951bd58c | [
"MIT"
] | 1 | 2022-02-25T15:02:25.000Z | 2022-02-25T15:02:25.000Z | websaw/core/app.py | valq7711/websaw | fb5718ad3ecd011d7fbb3f24fa007d84951bd58c | [
"MIT"
] | null | null | null | websaw/core/app.py | valq7711/websaw | fb5718ad3ecd011d7fbb3f24fa007d84951bd58c | [
"MIT"
] | null | null | null | import functools
from types import SimpleNamespace
from typing import List
from . import globs
from .context import BaseContext
from .exceptions import FixtureProcessError
from .reloader import Reloader
from .static_registry import static_registry
def _dummy_exception_handler(ctx: BaseContext, exc: Exception):
r... | 31.960396 | 118 | 0.577912 | 6,121 | 0.94811 | 283 | 0.043835 | 1,490 | 0.230793 | 0 | 0 | 324 | 0.050186 |
546beba67c891d71b93c4df6d7f37c550d736d00 | 1,772 | py | Python | observations/r/chest_sizes.py | hajime9652/observations | 2c8b1ac31025938cb17762e540f2f592e302d5de | [
"Apache-2.0"
] | 199 | 2017-07-24T01:34:27.000Z | 2022-01-29T00:50:55.000Z | observations/r/chest_sizes.py | hajime9652/observations | 2c8b1ac31025938cb17762e540f2f592e302d5de | [
"Apache-2.0"
] | 46 | 2017-09-05T19:27:20.000Z | 2019-01-07T09:47:26.000Z | observations/r/chest_sizes.py | hajime9652/observations | 2c8b1ac31025938cb17762e540f2f592e302d5de | [
"Apache-2.0"
] | 45 | 2017-07-26T00:10:44.000Z | 2022-03-16T20:44:59.000Z | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import csv
import numpy as np
import os
import sys
from observations.util import maybe_download_and_extract
def chest_sizes(path):
"""Chest measurements of 5738 Scottish Militiamen
... | 29.533333 | 71 | 0.705418 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,068 | 0.602709 |
546e4ec20d3fdf8c1c5f8ed657bb3f80549f9803 | 1,365 | py | Python | setup.py | google/ads-api-reports-fetcher | de0bacc3ab520b020cf19985284b7e3dbc9778b0 | [
"Apache-2.0"
] | 4 | 2022-02-16T12:42:26.000Z | 2022-03-30T17:14:32.000Z | setup.py | google/ads-api-reports-fetcher | de0bacc3ab520b020cf19985284b7e3dbc9778b0 | [
"Apache-2.0"
] | null | null | null | setup.py | google/ads-api-reports-fetcher | de0bacc3ab520b020cf19985284b7e3dbc9778b0 | [
"Apache-2.0"
] | 1 | 2022-03-28T05:51:57.000Z | 2022-03-28T05:51:57.000Z | import pathlib
from setuptools import setup, find_packages
HERE = pathlib.Path(__file__).parent
README = (HERE / "README.md").read_text()
setup(name="google-ads-api-report-fetcher",
version="0.1",
description="Library for fetching reports from Google Ads API and saving them locally / BigQuery.",
lo... | 36.891892 | 105 | 0.621245 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 720 | 0.527473 |
546e73d201a7995e9aa7205db669d55b27e2e940 | 2,880 | py | Python | scan_service/scan_service/utils/stats.py | kkkkv/tgnms | a3b8fd8a69b647a614f9856933f05e50a4affadf | [
"MIT"
] | 12 | 2021-04-06T06:27:18.000Z | 2022-03-18T10:52:29.000Z | scan_service/scan_service/utils/stats.py | kkkkv/tgnms | a3b8fd8a69b647a614f9856933f05e50a4affadf | [
"MIT"
] | 6 | 2022-01-04T13:32:16.000Z | 2022-03-28T21:13:59.000Z | scan_service/scan_service/utils/stats.py | kkkkv/tgnms | a3b8fd8a69b647a614f9856933f05e50a4affadf | [
"MIT"
] | 7 | 2021-09-27T13:14:42.000Z | 2022-03-28T16:24:15.000Z | #!/usr/bin/env python3
# Copyright 2004-present Facebook. All Rights Reserved.
import asyncio
import logging
import time
from collections import defaultdict
from typing import DefaultDict, Dict, List
from tglib.clients.prometheus_client import PrometheusClient, consts
from tglib.exceptions import ClientRuntimeError
... | 32.727273 | 87 | 0.594097 | 0 | 0 | 0 | 0 | 0 | 0 | 1,329 | 0.461458 | 560 | 0.194444 |
547084a7679711993b0e3d30495458fce0c7f40b | 1,866 | py | Python | multithread_pipeline.py | kapitsa2811/smartOCR | 6ecca79b29778778b1458ea28763a39920a3d58a | [
"MIT"
] | null | null | null | multithread_pipeline.py | kapitsa2811/smartOCR | 6ecca79b29778778b1458ea28763a39920a3d58a | [
"MIT"
] | null | null | null | multithread_pipeline.py | kapitsa2811/smartOCR | 6ecca79b29778778b1458ea28763a39920a3d58a | [
"MIT"
] | null | null | null | import glob
import os
from io import StringIO
from threading import Thread
import logging
from logger import TimeHandler
from costants import THREADS, INFERENCE_GRAPH
from pipeline import pipeline
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
logger.addHandler(TimeHandler().handler)
... | 29.619048 | 115 | 0.576099 | 523 | 0.280279 | 0 | 0 | 0 | 0 | 0 | 0 | 97 | 0.051983 |
5470a342899892808b0ad450ef5da5a2f9cf5b36 | 12,319 | py | Python | src/keys_server/GMO/GMOKeysLookup.py | OasisLMF/gem | 95c755a1cb76a2bbc41e5dd7bc503c59123ca3ac | [
"BSD-2-Clause"
] | null | null | null | src/keys_server/GMO/GMOKeysLookup.py | OasisLMF/gem | 95c755a1cb76a2bbc41e5dd7bc503c59123ca3ac | [
"BSD-2-Clause"
] | null | null | null | src/keys_server/GMO/GMOKeysLookup.py | OasisLMF/gem | 95c755a1cb76a2bbc41e5dd7bc503c59123ca3ac | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Python 2 standard library imports
import csv
import io
import logging
import os
# Python 2 non-standard library imports
import pandas as pd
# Imports from Oasis core repos + subpackages or modules within keys_server
from oasislmf.utils.coverages import COVERAGE_TYPES
from oasislmf.utils.per... | 36.554896 | 606 | 0.596396 | 7,708 | 0.625599 | 2,218 | 0.180018 | 3,336 | 0.270757 | 0 | 0 | 5,492 | 0.445743 |
5470aea747a6878071245059e1de2776baa03338 | 18,485 | py | Python | pandemic_eval.py | aypan17/value_learning | 240a67ecf99b178fe0c4ced2bfd1dd50453fbdfe | [
"MIT"
] | null | null | null | pandemic_eval.py | aypan17/value_learning | 240a67ecf99b178fe0c4ced2bfd1dd50453fbdfe | [
"MIT"
] | null | null | null | pandemic_eval.py | aypan17/value_learning | 240a67ecf99b178fe0c4ced2bfd1dd50453fbdfe | [
"MIT"
] | null | null | null | import time
import sys
import json
import argparse
from tqdm import trange
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import torch
import numpy as np
from scipy.spatial.distance import jensenshannon
import gym
import matplotlib.pyplot as plt
from matplotlib.axes import Axes
fr... | 47.51928 | 182 | 0.648526 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,161 | 0.279199 |
5471ef5e2041074700733cd254f4357bec345d93 | 3,289 | py | Python | WagerBrain/odds.py | sedemmler/WagerBrain | b1cc33f5eb7a6130106bf8251b554718e2d22172 | [
"MIT"
] | 83 | 2020-03-26T22:14:24.000Z | 2022-03-22T19:00:48.000Z | website.py | rax-v/XSS | ff70b89c9fb94a19caaf84e81eddeeca052344ea | [
"MIT"
] | 2 | 2020-03-26T19:34:03.000Z | 2020-03-27T19:56:14.000Z | website.py | rax-v/XSS | ff70b89c9fb94a19caaf84e81eddeeca052344ea | [
"MIT"
] | 19 | 2020-04-06T10:47:30.000Z | 2022-03-30T19:16:42.000Z | from fractions import Fraction
from math import gcd
import numpy as np
"""
Convert the style of gambling odds to Function Name (Decimal, American, Fractional).
TO DO: Fix edge case related to Fraction module that causes weird rounding / slightly off output
"""
def american_odds(odds):
"""
:param odds: ... | 28.850877 | 123 | 0.578291 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,054 | 0.320462 |
5472180161d7e60f43fc9232da207e59fa3cb086 | 16,438 | py | Python | GANs/jsigan/ops.py | JonathanLehner/nnabla-examples | 2971b987484945e12fb171594181908789485a0f | [
"Apache-2.0"
] | null | null | null | GANs/jsigan/ops.py | JonathanLehner/nnabla-examples | 2971b987484945e12fb171594181908789485a0f | [
"Apache-2.0"
] | null | null | null | GANs/jsigan/ops.py | JonathanLehner/nnabla-examples | 2971b987484945e12fb171594181908789485a0f | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2017 Sony Corporation. 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 applicabl... | 37.359091 | 98 | 0.55828 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,241 | 0.197165 |
5475f0c326a3f8de3e388b70e03c71cc3faf4139 | 2,973 | py | Python | neptune/internal/hardware/gpu/gpu_monitor.py | neptune-ml/neptune-client | 7aea63160b5149c3fec40f62d3b0da7381a35748 | [
"Apache-2.0"
] | 13 | 2019-02-11T13:18:38.000Z | 2019-12-26T06:26:07.000Z | neptune/internal/hardware/gpu/gpu_monitor.py | neptune-ml/neptune-client | 7aea63160b5149c3fec40f62d3b0da7381a35748 | [
"Apache-2.0"
] | 39 | 2019-03-07T13:40:10.000Z | 2020-01-07T17:19:24.000Z | neptune/internal/hardware/gpu/gpu_monitor.py | neptune-ml/neptune-client | 7aea63160b5149c3fec40f62d3b0da7381a35748 | [
"Apache-2.0"
] | 4 | 2019-02-11T13:07:23.000Z | 2019-11-26T08:20:24.000Z | #
# Copyright (c) 2019, Neptune Labs Sp. z o.o.
#
# 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 agr... | 35.392857 | 100 | 0.664649 | 2,131 | 0.716784 | 0 | 0 | 0 | 0 | 0 | 0 | 1,113 | 0.374369 |
54768720b8a58a3c4d1cf1c8c265ceea8f6fc111 | 5,219 | py | Python | tests/redis_map.py | jaredlunde/redis_structures | b9cce5f5c85db5e12c292633ff8d04e3ae053294 | [
"MIT"
] | 2 | 2016-04-05T08:40:47.000Z | 2016-06-27T14:03:26.000Z | tests/redis_map.py | jaredLunde/redis_structures | b9cce5f5c85db5e12c292633ff8d04e3ae053294 | [
"MIT"
] | 1 | 2015-10-27T14:30:53.000Z | 2015-11-09T17:54:33.000Z | tests/redis_map.py | jaredlunde/redis_structures | b9cce5f5c85db5e12c292633ff8d04e3ae053294 | [
"MIT"
] | null | null | null | #!/usr/bin/python3 -S
# -*- coding: utf-8 -*-
"""
`Redis Map Tests`
--·--·--·--·--·--·--·--·--·--·--·--·--·--·--·--·--·--·--·--·--·--·--·--·--·--·--
2015 Jared Lunde © The MIT License (MIT)
http://github.com/jaredlunde
"""
import datetime
import time
import pickle
import unittest
from redis_structures.debug ... | 30.881657 | 80 | 0.57923 | 4,760 | 0.907358 | 0 | 0 | 0 | 0 | 0 | 0 | 902 | 0.171941 |
5477f31f091eaba6d081dd15b6e4e452029c17e6 | 4,480 | py | Python | examples/parser_example.py | pibico/beacontools | 513e1c7ff2aaf74b6c7d7b10805c2f6ca4384e3d | [
"MIT"
] | 139 | 2017-06-09T17:15:23.000Z | 2022-03-15T03:02:17.000Z | examples/parser_example.py | pibico/beacontools | 513e1c7ff2aaf74b6c7d7b10805c2f6ca4384e3d | [
"MIT"
] | 71 | 2017-06-20T03:20:56.000Z | 2022-02-13T22:47:53.000Z | examples/parser_example.py | pibico/beacontools | 513e1c7ff2aaf74b6c7d7b10805c2f6ca4384e3d | [
"MIT"
] | 59 | 2017-06-20T03:10:00.000Z | 2022-03-15T23:54:44.000Z | # -*- coding: utf-8 -*-
from beacontools import parse_packet
# Eddystone UID packet
uid_packet = b"\x02\x01\x06\x03\x03\xaa\xfe\x17\x16\xaa\xfe\x00\xe3\x12\x34\x56\x78\x90\x12" \
b"\x34\x67\x89\x01\x00\x00\x00\x00\x00\x01\x00\x00"
uid_frame = parse_packet(uid_packet)
print("Namespace: %s" % uid_frame.nam... | 40 | 94 | 0.690625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,343 | 0.522525 |
547c48103894763c6518d10f40329e0d7d4eaefd | 1,228 | py | Python | mlsurvey/sl/workflows/multiple_learning_workflow.py | jlaumonier/mlsurvey | 373598d067c7f0930ba13fe8da9756ce26eecbaf | [
"MIT"
] | null | null | null | mlsurvey/sl/workflows/multiple_learning_workflow.py | jlaumonier/mlsurvey | 373598d067c7f0930ba13fe8da9756ce26eecbaf | [
"MIT"
] | null | null | null | mlsurvey/sl/workflows/multiple_learning_workflow.py | jlaumonier/mlsurvey | 373598d067c7f0930ba13fe8da9756ce26eecbaf | [
"MIT"
] | null | null | null | from kedro.io import DataCatalog, MemoryDataSet
from kedro.pipeline import Pipeline
from kedro.runner import SequentialRunner
import mlsurvey as mls
from mlsurvey.workflows.learning_workflow import LearningWorkflow
class MultipleLearningWorkflow(LearningWorkflow):
def run(self):
"""
Run the wor... | 34.111111 | 87 | 0.653094 | 1,007 | 0.820033 | 0 | 0 | 0 | 0 | 0 | 0 | 209 | 0.170195 |
547cd68f734cef8dede708252277b864855b2580 | 2,542 | py | Python | backend/apps/cmdb/migrations/0001_initial.py | renmcc/SA2 | a524124c140ae0b291b10dafc11d38744dd93bd9 | [
"MIT"
] | 4 | 2020-06-25T05:57:39.000Z | 2021-06-26T04:58:16.000Z | backend/apps/cmdb/migrations/0001_initial.py | renmcc/SA2 | a524124c140ae0b291b10dafc11d38744dd93bd9 | [
"MIT"
] | null | null | null | backend/apps/cmdb/migrations/0001_initial.py | renmcc/SA2 | a524124c140ae0b291b10dafc11d38744dd93bd9 | [
"MIT"
] | 1 | 2020-12-10T15:12:11.000Z | 2020-12-10T15:12:11.000Z | # Generated by Django 2.2.12 on 2020-06-15 16:55
import datetime
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('project', '0001_initial'),
]
operations = [
migrations.CreateModel(
... | 59.116279 | 215 | 0.632179 | 2,583 | 0.947542 | 0 | 0 | 0 | 0 | 0 | 0 | 703 | 0.257887 |
547d39324fd1deeba259dcc2ee665fe787ad6b6c | 1,055 | py | Python | sphecius/ciphers/base.py | douglasdaly/sphecius | df8fc8dd2add157c6360c2b66cb22ac6f0241051 | [
"MIT"
] | 1 | 2019-09-26T01:08:20.000Z | 2019-09-26T01:08:20.000Z | sphecius/ciphers/base.py | douglasdaly/sphecius | df8fc8dd2add157c6360c2b66cb22ac6f0241051 | [
"MIT"
] | null | null | null | sphecius/ciphers/base.py | douglasdaly/sphecius | df8fc8dd2add157c6360c2b66cb22ac6f0241051 | [
"MIT"
] | 1 | 2019-09-26T01:08:19.000Z | 2019-09-26T01:08:19.000Z | # -*- coding: utf-8 -*-
"""
base.py
Base Cipher Object class
@author: Douglas Daly
@date: 1/12/2017
"""
#
# Imports
#
from abc import ABCMeta, abstractmethod
from ..alphabets import English
#
# Classes
#
class Cipher(object, metaclass=ABCMeta):
"""
Base Cipher Class
"""
def __init__(self,... | 16.484375 | 50 | 0.57346 | 836 | 0.792417 | 0 | 0 | 426 | 0.403791 | 0 | 0 | 589 | 0.558294 |
547ee9e4da4b047390b557dc16580a853bcc3c8e | 281 | py | Python | setup.py | codewars/python-unittest | 5a6cc27a51a9d91ce997c953099515c701b76057 | [
"MIT"
] | 4 | 2020-06-20T12:36:09.000Z | 2021-10-31T22:04:48.000Z | setup.py | codewars/python-unittest | 5a6cc27a51a9d91ce997c953099515c701b76057 | [
"MIT"
] | null | null | null | setup.py | codewars/python-unittest | 5a6cc27a51a9d91ce997c953099515c701b76057 | [
"MIT"
] | 3 | 2020-07-11T13:46:24.000Z | 2022-02-23T20:55:19.000Z | from setuptools import setup
setup(
name="codewars_unittest",
version="0.1.0",
packages=["codewars_unittest"],
license="MIT",
description="unittest runner with Codewars output",
install_requires=[],
url="https://github.com/Codewars/python-unittest",
)
| 23.416667 | 55 | 0.690391 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 133 | 0.47331 |
547f16545ac590cbce83d8fc70ff6fbb32f028e2 | 16,628 | py | Python | code/python/FactSetFunds/v1/fds/sdk/FactSetFunds/model/classifications.py | factset/enterprise-sdk | 3fd4d1360756c515c9737a0c9a992c7451d7de7e | [
"Apache-2.0"
] | 6 | 2022-02-07T16:34:18.000Z | 2022-03-30T08:04:57.000Z | code/python/FactSetFunds/v1/fds/sdk/FactSetFunds/model/classifications.py | factset/enterprise-sdk | 3fd4d1360756c515c9737a0c9a992c7451d7de7e | [
"Apache-2.0"
] | 2 | 2022-02-07T05:25:57.000Z | 2022-03-07T14:18:04.000Z | code/python/FactSetFunds/v1/fds/sdk/FactSetFunds/model/classifications.py | factset/enterprise-sdk | 3fd4d1360756c515c9737a0c9a992c7451d7de7e | [
"Apache-2.0"
] | null | null | null | """
FactSet Funds API
FactSet Mutual Funds data offers over 50 fund- and share class-specific data points for mutual funds listed in the United States. <p>FactSet Mutual Funds Reference provides fund-specific reference information as well as FactSet's proprietary classification system. It includes but is not l... | 57.536332 | 709 | 0.619016 | 15,319 | 0.921277 | 0 | 0 | 13,248 | 0.796728 | 0 | 0 | 12,467 | 0.749759 |
547ff536693b82874299f521ef54379c7a3ee663 | 1,637 | py | Python | tests/test_drc.py | atait/lymask | a047bee386e7c9c7f04030277cdfaf7b3c731d14 | [
"MIT"
] | 3 | 2020-12-01T07:55:50.000Z | 2022-03-16T22:18:07.000Z | tests/test_drc.py | atait/lymask | a047bee386e7c9c7f04030277cdfaf7b3c731d14 | [
"MIT"
] | null | null | null | tests/test_drc.py | atait/lymask | a047bee386e7c9c7f04030277cdfaf7b3c731d14 | [
"MIT"
] | 2 | 2020-12-01T22:56:35.000Z | 2021-05-03T09:30:09.000Z | import os, sys
import subprocess
import xmltodict
import lymask
from lymask import batch_drc_main
from conftest import test_dir
drc_file = os.path.join(test_dir, 'tech', 'lymask_example_tech', 'drc', 'default.yml')
layout_file = os.path.join(test_dir, '2_drc_src.oas')
outfile = os.path.join(test_dir, '2_drc_run.lyrdb... | 30.886792 | 115 | 0.722053 | 41 | 0.025046 | 0 | 0 | 0 | 0 | 0 | 0 | 504 | 0.30788 |
5480da3b737fa2ac8f9665bf668142513e4bbaba | 1,731 | py | Python | graphviz/parameters/formatters.py | boeddeker/graphviz | acf79bca4518781cad02c102e89ec4e9ce757088 | [
"MIT"
] | 1 | 2022-01-19T04:02:46.000Z | 2022-01-19T04:02:46.000Z | graphviz/parameters/formatters.py | boeddeker/graphviz | acf79bca4518781cad02c102e89ec4e9ce757088 | [
"MIT"
] | 1 | 2021-11-19T07:21:48.000Z | 2021-11-19T07:21:48.000Z | graphviz/parameters/formatters.py | boeddeker/graphviz | acf79bca4518781cad02c102e89ec4e9ce757088 | [
"MIT"
] | 1 | 2022-01-14T17:15:38.000Z | 2022-01-14T17:15:38.000Z | """Rendering formatter parameter handling."""
import typing
from . import base
__all__ = ['FORMATTERS', 'verify_formatter', 'Formatter']
FORMATTERS = {'cairo',
'core',
'gd',
'gdiplus',
'gdwbmp',
'xlib'}
REQUIRED = False
def verify_formatter(fo... | 28.377049 | 84 | 0.60312 | 1,112 | 0.642403 | 0 | 0 | 490 | 0.283073 | 0 | 0 | 405 | 0.233969 |
5480e17b073b3d2de7a418823c0645c307bf4d95 | 183 | py | Python | reward/utils/device.py | lgvaz/torchrl | cfff8acaf70d1fec72169162b95ab5ad3547d17a | [
"MIT"
] | 5 | 2018-06-21T14:33:40.000Z | 2018-08-18T02:26:03.000Z | reward/utils/device.py | lgvaz/reward | cfff8acaf70d1fec72169162b95ab5ad3547d17a | [
"MIT"
] | null | null | null | reward/utils/device.py | lgvaz/reward | cfff8acaf70d1fec72169162b95ab5ad3547d17a | [
"MIT"
] | 2 | 2018-05-08T03:34:49.000Z | 2018-06-22T15:04:17.000Z | import torch
CONFIG = {"device": torch.device("cuda" if torch.cuda.is_available() else "cpu")}
def get(): return CONFIG["device"]
def set_device(device): CONFIG["device"] = device
| 22.875 | 81 | 0.704918 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0.191257 |
548192ff87fcf5b59d3f5cc728048383ca680545 | 5,727 | py | Python | Source/Functions/RPSLS.Python.Api/NextMove/next_move.py | ivan-b-ivanov/RockPaperScissorsLizardSpock | 9167bcbe5ad2937e834408475c2ec66cf92fef84 | [
"MIT"
] | null | null | null | Source/Functions/RPSLS.Python.Api/NextMove/next_move.py | ivan-b-ivanov/RockPaperScissorsLizardSpock | 9167bcbe5ad2937e834408475c2ec66cf92fef84 | [
"MIT"
] | null | null | null | Source/Functions/RPSLS.Python.Api/NextMove/next_move.py | ivan-b-ivanov/RockPaperScissorsLizardSpock | 9167bcbe5ad2937e834408475c2ec66cf92fef84 | [
"MIT"
] | null | null | null | import logging
import random
import os
import json
from typing import Tuple, List
import requests
def predict(player_name: str) -> str:
next_move = _predict_next_move(*_get_player_games(player_name))
return _convert_game_to_json(next_move)
R_rock, P_paper, S_scissors, V_spock, L_lizard = ('R', ... | 39.226027 | 101 | 0.596124 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,613 | 0.281648 |
5481ba7b076cad5057871b2955d0e7140c538c8a | 5,410 | py | Python | examples/trials/nas_cifar10/src/cifar10/nni_child_cifar10.py | runauto/nni | 30152b04c4739f5b4f95087dee5f1e66ee893078 | [
"MIT"
] | 2 | 2019-12-30T20:42:17.000Z | 2021-01-24T16:51:56.000Z | examples/trials/nas_cifar10/src/cifar10/nni_child_cifar10.py | runauto/nni | 30152b04c4739f5b4f95087dee5f1e66ee893078 | [
"MIT"
] | null | null | null | examples/trials/nas_cifar10/src/cifar10/nni_child_cifar10.py | runauto/nni | 30152b04c4739f5b4f95087dee5f1e66ee893078 | [
"MIT"
] | 1 | 2020-01-11T13:19:26.000Z | 2020-01-11T13:19:26.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import shutil
import logging
import tensorflow as tf
from src.cifar10.data_utils import read_data
from src.cifar10.general_child import GeneralChild
import src.cifar10_flags
from src.cifar10_flags impo... | 33.190184 | 85 | 0.64085 | 2,340 | 0.432532 | 0 | 0 | 0 | 0 | 0 | 0 | 738 | 0.136414 |
5481d023ae1cb5111f38843d186a6cb4876d216a | 175 | py | Python | apps/oper/apps.py | dryprojects/MyBlog | ec04ba2bc658e96cddeb1d4766047ca8e89ff656 | [
"BSD-3-Clause"
] | 2 | 2021-08-17T13:29:21.000Z | 2021-09-04T05:00:01.000Z | apps/oper/apps.py | dryprojects/MyBlog | ec04ba2bc658e96cddeb1d4766047ca8e89ff656 | [
"BSD-3-Clause"
] | 1 | 2020-07-16T11:22:32.000Z | 2020-07-16T11:22:32.000Z | apps/oper/apps.py | dryprojects/MyBlog | ec04ba2bc658e96cddeb1d4766047ca8e89ff656 | [
"BSD-3-Clause"
] | 1 | 2020-09-18T10:41:59.000Z | 2020-09-18T10:41:59.000Z | from django.apps import AppConfig
class OperConfig(AppConfig):
name = 'oper'
verbose_name = '用户操作管理'
def ready(self):
from oper import signals
| 17.5 | 34 | 0.64 | 146 | 0.780749 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0.139037 |
5481e05c5889a5fab05aff46f53912b82371d733 | 1,952 | py | Python | stella/core/interpreter/lexer.py | xabinapal/stella | ae02055749f997323390d642c99a37b80aa5df68 | [
"MIT"
] | null | null | null | stella/core/interpreter/lexer.py | xabinapal/stella | ae02055749f997323390d642c99a37b80aa5df68 | [
"MIT"
] | null | null | null | stella/core/interpreter/lexer.py | xabinapal/stella | ae02055749f997323390d642c99a37b80aa5df68 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import io
import collections
from stella.core.utils import RewindableIterator
from stella.core.interpreter.productions import Token
__all__ = ['Tokenizer', 'Lexer']
################################################################################
### Tokenizer
################################... | 29.134328 | 82 | 0.483607 | 1,406 | 0.720287 | 0 | 0 | 0 | 0 | 0 | 0 | 383 | 0.196209 |
548332d9c8a9e409da8648383e49cb1b1c4dbca5 | 12,628 | py | Python | tensorflow_v1/10_-_Sequence-to-sequence/03_-_Dynamic_attention_with_par-inject.py | mtanti/deeplearningtutorial | a6fef37c77216e4f98dba2bde7c62d6aa6292476 | [
"MIT"
] | 5 | 2019-05-31T08:30:28.000Z | 2020-02-13T20:17:13.000Z | tensorflow_v1/10_-_Sequence-to-sequence/03_-_Dynamic_attention_with_par-inject.py | mtanti/deeplearningtutorial | a6fef37c77216e4f98dba2bde7c62d6aa6292476 | [
"MIT"
] | null | null | null | tensorflow_v1/10_-_Sequence-to-sequence/03_-_Dynamic_attention_with_par-inject.py | mtanti/deeplearningtutorial | a6fef37c77216e4f98dba2bde7c62d6aa6292476 | [
"MIT"
] | 6 | 2019-04-12T15:34:05.000Z | 2019-10-01T16:57:39.000Z | import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
tf.logging.set_verbosity(tf.logging.ERROR)
max_epochs = 6000
init_stddev = 0.0001
source_embedding_size = 2
target_embedding_size = 2
source_state_size = 2
preattention_size = 2
target_state_size = 2
max_seq_len = 10
source_tokens = [
... | 52.83682 | 230 | 0.633275 | 3,153 | 0.249683 | 0 | 0 | 293 | 0.023202 | 0 | 0 | 1,183 | 0.093681 |
54835562ea5262f2ee7bb00d7ceac361aa51a6f1 | 226 | py | Python | lnd/utils.py | gsmadi/lightningpy | 14f4cc2dd5eb8726a06db8798944302974b890aa | [
"MIT"
] | null | null | null | lnd/utils.py | gsmadi/lightningpy | 14f4cc2dd5eb8726a06db8798944302974b890aa | [
"MIT"
] | 3 | 2019-08-21T11:51:52.000Z | 2019-10-07T11:51:45.000Z | lnd/utils.py | smadici-labs/pylnd | 14f4cc2dd5eb8726a06db8798944302974b890aa | [
"MIT"
] | null | null | null | import codecs
def encode_macaroon(macaroon):
encoded_macaroon = codecs.encode(macaroon, 'hex')
return encoded_macaroon
def read_file(file_path):
opened_file = open(file_path, 'rb').read()
return opened_file | 20.545455 | 53 | 0.738938 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0.039823 |
5483a8653b465908b4e7a3a5f68321bd151006ac | 1,649 | py | Python | ctapipe/image/muon/ring_fitter.py | chaimain/ctapipe | ff80cff2daaf56e1d05ea6501c68fd83a9cf79d5 | [
"BSD-3-Clause"
] | 53 | 2015-06-23T15:24:20.000Z | 2021-09-23T22:30:58.000Z | ctapipe/image/muon/ring_fitter.py | chaimain/ctapipe | ff80cff2daaf56e1d05ea6501c68fd83a9cf79d5 | [
"BSD-3-Clause"
] | 1,537 | 2015-06-24T11:27:16.000Z | 2022-03-31T16:17:08.000Z | ctapipe/image/muon/ring_fitter.py | chaimain/ctapipe | ff80cff2daaf56e1d05ea6501c68fd83a9cf79d5 | [
"BSD-3-Clause"
] | 275 | 2015-07-09T14:09:28.000Z | 2022-03-17T22:25:51.000Z | import numpy as np
from ctapipe.core import Component
from ctapipe.containers import MuonRingContainer
from .fitting import kundu_chaudhuri_circle_fit, taubin_circle_fit
import traitlets as traits
# the fit methods do not expose the same interface, so we
# force the same interface onto them, here.
# we also modify th... | 32.333333 | 71 | 0.691935 | 797 | 0.483323 | 0 | 0 | 0 | 0 | 0 | 0 | 519 | 0.314736 |
5484be9bfb8cd5688ba3f0f969954eaa83e32875 | 1,873 | py | Python | Main.py | dalwindercheema/FWPython | 4c5d4d6d0b29a199dbf37d16bd4ed9bb2ac22d19 | [
"BSD-2-Clause"
] | 2 | 2021-12-18T17:08:02.000Z | 2021-12-22T04:19:15.000Z | Main.py | dalwindercheema/FWPython | 4c5d4d6d0b29a199dbf37d16bd4ed9bb2ac22d19 | [
"BSD-2-Clause"
] | null | null | null | Main.py | dalwindercheema/FWPython | 4c5d4d6d0b29a199dbf37d16bd4ed9bb2ac22d19 | [
"BSD-2-Clause"
] | null | null | null | import pandas as pd
from os import listdir
import numpy
from sklearn.model_selection import StratifiedKFold
from FS_ALO import WFS
from FW_ALO import WFW
from WFSWFW_ALO import WFSWFW
import matplotlib.pyplot as plt
def main_CV():
path='./datasets'
direc=sorted(listdir(path))
print(direc)
... | 36.019231 | 107 | 0.645489 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44 | 0.023492 |
548634bd7f60817d2246c17acdb44bb98affa644 | 1,189 | py | Python | demo/demo/models.py | dracarysX/django-rest-query | 62fe8ee8f72251a1a8982265fff57870f2d43ca9 | [
"MIT"
] | 2 | 2017-06-28T02:51:52.000Z | 2017-06-28T09:28:33.000Z | demo/demo/models.py | dracarysX/django-rest-query | 62fe8ee8f72251a1a8982265fff57870f2d43ca9 | [
"MIT"
] | null | null | null | demo/demo/models.py | dracarysX/django-rest-query | 62fe8ee8f72251a1a8982265fff57870f2d43ca9 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# -*-coding: utf-8 -*-
__author__ = 'dracarysX'
from django.db import models
class Publisher(models.Model):
id = models.AutoField(primary_key=True)
name = models.CharField(max_length=100)
class Meta:
db_table = 'Publisher'
def __str__(self):
return 'Publisher:... | 22.018519 | 48 | 0.652649 | 1,076 | 0.904962 | 0 | 0 | 0 | 0 | 0 | 0 | 137 | 0.115223 |
54870fd0b78e5e716753c262ab01d38621a1dd9c | 4,796 | py | Python | feedback-api/src/api/services/feedback/feedback_camunda_service.py | josekudiyirippil/queue-management | e56a987e14cfd2b50b820f679c7669060450da8e | [
"Apache-2.0"
] | 30 | 2018-09-19T03:30:51.000Z | 2022-03-07T02:57:05.000Z | feedback-api/src/api/services/feedback/feedback_camunda_service.py | ann-aot/queue-management | 8ac8353a1e5f3f27fea74e70831ab5f0590d1805 | [
"Apache-2.0"
] | 159 | 2018-09-17T23:45:58.000Z | 2022-03-30T17:35:05.000Z | feedback-api/src/api/services/feedback/feedback_camunda_service.py | ann-aot/queue-management | 8ac8353a1e5f3f27fea74e70831ab5f0590d1805 | [
"Apache-2.0"
] | 52 | 2018-05-18T18:30:06.000Z | 2021-08-25T12:00:29.000Z | # Copyright © 2019 Province of British Columbia
#
# 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 agr... | 51.021277 | 111 | 0.641785 | 3,891 | 0.811132 | 0 | 0 | 0 | 0 | 0 | 0 | 1,665 | 0.347092 |
5489ae18fd1a18ba304d5257203fc13d1b20346d | 2,334 | py | Python | dezede/urls.py | dezede/dezede | 985ed1b42a2a6bab996e26c1b92444ae04afcc2c | [
"BSD-3-Clause"
] | 15 | 2015-02-10T21:16:31.000Z | 2021-03-25T16:46:20.000Z | dezede/urls.py | dezede/dezede | 985ed1b42a2a6bab996e26c1b92444ae04afcc2c | [
"BSD-3-Clause"
] | 4 | 2021-02-10T15:42:08.000Z | 2022-03-11T23:20:38.000Z | dezede/urls.py | dezede/dezede | 985ed1b42a2a6bab996e26c1b92444ae04afcc2c | [
"BSD-3-Clause"
] | 6 | 2016-07-10T14:20:48.000Z | 2022-01-19T18:34:02.000Z | from django.conf import settings
from django.conf.urls import *
from django.conf.urls.static import static
from django.contrib import admin
from django.contrib.sitemaps.views import sitemap
from django.views.decorators.cache import cache_page
from django.views.generic import TemplateView
from ajax_select import urls as... | 38.9 | 79 | 0.662811 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 612 | 0.262211 |
548afc21b16ee46ad8044ba3566ba260b8c8d71a | 899 | py | Python | database/chemtrack/contacts.py | mshobair/invitro_cheminformatics | 17201496c73453accd440646a1ee81726119a59c | [
"MIT"
] | null | null | null | database/chemtrack/contacts.py | mshobair/invitro_cheminformatics | 17201496c73453accd440646a1ee81726119a59c | [
"MIT"
] | null | null | null | database/chemtrack/contacts.py | mshobair/invitro_cheminformatics | 17201496c73453accd440646a1ee81726119a59c | [
"MIT"
] | null | null | null | import datetime
from database.database_schemas import Schemas
from sqlalchemy import Column, Integer, String, DateTime
from database.base import Base
class Contacts(Base):
"""Maps to contacts table in chemprop databases."""
__tablename__ = 'contacts'
__table_args__ = {'schema': Schemas.qsar_schema}
... | 31 | 80 | 0.72525 | 745 | 0.828699 | 0 | 0 | 0 | 0 | 0 | 0 | 69 | 0.076752 |
548ba908b52f98060805c6474bd241356237c223 | 7,487 | py | Python | otter/generate/autograder.py | drjbarker/otter-grader | 9e89e1675b09cf7889995b5f1bc8e1648bf6c309 | [
"BSD-3-Clause"
] | null | null | null | otter/generate/autograder.py | drjbarker/otter-grader | 9e89e1675b09cf7889995b5f1bc8e1648bf6c309 | [
"BSD-3-Clause"
] | null | null | null | otter/generate/autograder.py | drjbarker/otter-grader | 9e89e1675b09cf7889995b5f1bc8e1648bf6c309 | [
"BSD-3-Clause"
] | null | null | null | """
Gradescope autograder configuration generator for Otter Generate
"""
import os
import json
import shutil
# import subprocess
import zipfile
import tempfile
import pathlib
import pkg_resources
import yaml
from glob import glob
from subprocess import PIPE
from jinja2 import Template
from .token import APIClient
fr... | 38.792746 | 110 | 0.631762 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,746 | 0.366769 |