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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
e625df758f3e2fdaeb576f8377536aeeebd5b8b3 | 635 | py | Python | extractors/folha_news_extractor.py | LorhanSohaky/POOA | c604f03f9b7bbfccecb75a982cc76fe428c36433 | [
"MIT"
] | 1 | 2020-12-05T21:01:10.000Z | 2020-12-05T21:01:10.000Z | extractors/folha_news_extractor.py | LorhanSohaky/POOA | c604f03f9b7bbfccecb75a982cc76fe428c36433 | [
"MIT"
] | null | null | null | extractors/folha_news_extractor.py | LorhanSohaky/POOA | c604f03f9b7bbfccecb75a982cc76fe428c36433 | [
"MIT"
] | null | null | null | import requests
from bs4 import BeautifulSoup
from news import News
from .abstract_news_extractor import AbstractNewsExtractor
| 27.608696 | 62 | 0.661417 |
e626176d8836eb758155d498bd351936493ec76d | 3,871 | py | Python | pyrbi/__init__.py | hack-a-team/pyrbi | 09296788d9b9a29ae7aaeff960992d2893468372 | [
"MIT"
] | null | null | null | pyrbi/__init__.py | hack-a-team/pyrbi | 09296788d9b9a29ae7aaeff960992d2893468372 | [
"MIT"
] | null | null | null | pyrbi/__init__.py | hack-a-team/pyrbi | 09296788d9b9a29ae7aaeff960992d2893468372 | [
"MIT"
] | null | null | null | """
Provides a simple Python client for RBI REST API
"""
from . import exceptions
import requests
__version__ = "0.1.0"
| 28.674074 | 88 | 0.57427 |
e6266840cb7ce270f6afeec9709e2ac1a2d1d286 | 1,426 | py | Python | scripts/sequence/replace_selenocystein.py | mahajrod/MAVR | 4db74dff7376a2ffe4426db720b241de9198f329 | [
"MIT"
] | 10 | 2015-04-28T14:15:04.000Z | 2021-03-15T00:07:38.000Z | scripts/sequence/replace_selenocystein.py | mahajrod/MAVR | 4db74dff7376a2ffe4426db720b241de9198f329 | [
"MIT"
] | null | null | null | scripts/sequence/replace_selenocystein.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 argparse
import os
from copy import deepcopy
from Bio import SeqIO
from Bio.Seq import Seq
parser = argparse.ArgumentParser()
parser.add_argument("-i", "--input_file", action="store", dest="input_file",
help="Input file with sequences... | 33.952381 | 125 | 0.691445 |
e626e6e7f40b567d4b7615f9b578110b40aa795b | 438 | py | Python | Aulas Gustavo Guanabara/Aula018.1.py | RobertoRanulfo/Phyton | d7ba1aaffac2f3d78e46fc96b480b6a62d6dfe01 | [
"MIT"
] | null | null | null | Aulas Gustavo Guanabara/Aula018.1.py | RobertoRanulfo/Phyton | d7ba1aaffac2f3d78e46fc96b480b6a62d6dfe01 | [
"MIT"
] | null | null | null | Aulas Gustavo Guanabara/Aula018.1.py | RobertoRanulfo/Phyton | d7ba1aaffac2f3d78e46fc96b480b6a62d6dfe01 | [
"MIT"
] | null | null | null | teste = list()
teste.append('Gustavo')
teste.append(40)
galera = []
galera.append(teste) #neste caso estamos criando uma ligao entre as duas listas
teste[0] = 'Maria'
teste[1] = 22
galera.append(teste)
print(teste)
print(galera) # No caso os elementos no se acumularam porque no foi feita uma cpia dos elementos da lista... | 39.818182 | 112 | 0.730594 |
e62704d640c5f34b51dc4894e557ad6bcb2ec7d5 | 1,637 | py | Python | ad_hoc/name_mapper_backfill.py | Connor-R/NSBL | 16615990d058d171fab4790f937846fd1f0b2ee9 | [
"MIT"
] | 1 | 2020-11-19T23:20:19.000Z | 2020-11-19T23:20:19.000Z | ad_hoc/name_mapper_backfill.py | Connor-R/NSBL | 16615990d058d171fab4790f937846fd1f0b2ee9 | [
"MIT"
] | null | null | null | ad_hoc/name_mapper_backfill.py | Connor-R/NSBL | 16615990d058d171fab4790f937846fd1f0b2ee9 | [
"MIT"
] | null | null | null | from py_db import db
import NSBL_helpers as helper
db = db("NSBL")
table_dict = {"register_batting_analytical": "a.player_name"
, "register_batting_primary": "a.player_name"
, "register_batting_secondary": "a.player_name"
, "register_batting_splits": "a.player_name"
, "register_pitching_analytical":... | 32.098039 | 82 | 0.681735 |
e628182131b1688593a8c2682f0d77aa16ecd697 | 1,287 | py | Python | camcommander/watcher.py | tparker-usgs/camcommander | 0e508a1b24cc99496745652e52118000470d7e32 | [
"CC0-1.0"
] | null | null | null | camcommander/watcher.py | tparker-usgs/camcommander | 0e508a1b24cc99496745652e52118000470d7e32 | [
"CC0-1.0"
] | null | null | null | camcommander/watcher.py | tparker-usgs/camcommander | 0e508a1b24cc99496745652e52118000470d7e32 | [
"CC0-1.0"
] | null | null | null | #!/usr/bin/env python3
#
# I waive copyright and related rights in the this work worldwide
# through the CC0 1.0 Universal public domain dedication.
# https://creativecommons.org/publicdomain/zero/1.0/legalcode
#
# Author(s):
# Tom Parker <tparker@usgs.gov>
""" watch for new webcam images."""
import zmq
import to... | 26.8125 | 79 | 0.655012 |
e629f1eb273463da4f3c8be6f4e44ca1b639ae9f | 1,866 | py | Python | Filter/kalman_filter.py | KNakane/filter | 43ece9771003b63b477499dab2eb8d69e5bfdabe | [
"MIT"
] | null | null | null | Filter/kalman_filter.py | KNakane/filter | 43ece9771003b63b477499dab2eb8d69e5bfdabe | [
"MIT"
] | null | null | null | Filter/kalman_filter.py | KNakane/filter | 43ece9771003b63b477499dab2eb8d69e5bfdabe | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
from tqdm import tqdm
| 33.927273 | 113 | 0.559486 |
e62b0481e9ee04d621f3915eddb5dfd2397e270a | 4,394 | py | Python | mwarp1d/ui/figures/artists/draggable_points.py | 0todd0000/mwarp1d | 7b40a47e6c112a8da5a1b67aff890fc77fe83d71 | [
"MIT"
] | null | null | null | mwarp1d/ui/figures/artists/draggable_points.py | 0todd0000/mwarp1d | 7b40a47e6c112a8da5a1b67aff890fc77fe83d71 | [
"MIT"
] | 6 | 2019-11-25T08:15:05.000Z | 2020-02-07T13:05:59.000Z | mwarp1d/ui/figures/artists/draggable_points.py | 0todd0000/mwarp1d | 7b40a47e6c112a8da5a1b67aff890fc77fe83d71 | [
"MIT"
] | 2 | 2019-11-28T02:58:14.000Z | 2019-12-18T11:45:33.000Z |
from PyQt5 import QtWidgets, QtCore
from math import floor
import numpy as np
from . _base import _SelectableArtist2D
class SourceLandmarks(_DraggablePoints):
color_active = 0.98, 0.7, 0.3
zorder = 1
class TemplateLandmarks(_DraggablePoints):
color_active = 0.3, 0.3, 0.... | 24.824859 | 134 | 0.649067 |
e62bee983944925691e81c42d718cf0680c6b087 | 7,370 | py | Python | convert/tartan_air_to_benchmark.py | AaltoML/vio_benchmark | cb2277026f824f88f3bc131057ebc687cb19d648 | [
"Apache-2.0"
] | 32 | 2021-04-23T15:07:04.000Z | 2022-03-30T08:04:28.000Z | convert/tartan_air_to_benchmark.py | AaltoML/vio_benchmark | cb2277026f824f88f3bc131057ebc687cb19d648 | [
"Apache-2.0"
] | 3 | 2021-02-10T18:54:06.000Z | 2022-03-12T16:58:19.000Z | convert/tartan_air_to_benchmark.py | AaltoML/vio_benchmark | cb2277026f824f88f3bc131057ebc687cb19d648 | [
"Apache-2.0"
] | 4 | 2021-02-08T11:11:09.000Z | 2022-03-15T12:45:05.000Z | #!/usr/bin/env python
#
# Download and convert TartanAir data <https://theairlab.org/tartanair-dataset/>.
#
# NOTE The whole dataset is several terabytes, so be sure to tune the `LEVELS` and
# `DATASETS` variables before running.
#
# It is recommended to install "AzCopy", an official tool for Azure, to get tolerable
# ... | 31.767241 | 142 | 0.53867 |
e62c2f0e0a2aa9f2cc633c9f3f0f670db80af86f | 24,534 | py | Python | test/test_tsdb.py | eneelo/qats | 9280e2487bde97874cc8857b2780ac830323f363 | [
"MIT"
] | null | null | null | test/test_tsdb.py | eneelo/qats | 9280e2487bde97874cc8857b2780ac830323f363 | [
"MIT"
] | null | null | null | test/test_tsdb.py | eneelo/qats | 9280e2487bde97874cc8857b2780ac830323f363 | [
"MIT"
] | 1 | 2020-10-29T13:40:47.000Z | 2020-10-29T13:40:47.000Z | # -*- coding: utf-8 -*-
"""
Module for testing TsDB class
"""
from qats import TimeSeries, TsDB
import unittest
import os
import numpy as np
import sys
# todo: add tests for listing subset(s) based on specifying parameter `names` (with and wo param. `keys`)
# todo: add test for getm() with fullkey=False (... | 44.36528 | 121 | 0.59815 |
e62dd8453d35731f8df986056643c1efd1e8ea57 | 1,257 | py | Python | py/py_0105_special_subset_sums_testing.py | lcsm29/project-euler | fab794ece5aa7a11fc7c2177f26250f40a5b1447 | [
"MIT"
] | null | null | null | py/py_0105_special_subset_sums_testing.py | lcsm29/project-euler | fab794ece5aa7a11fc7c2177f26250f40a5b1447 | [
"MIT"
] | null | null | null | py/py_0105_special_subset_sums_testing.py | lcsm29/project-euler | fab794ece5aa7a11fc7c2177f26250f40a5b1447 | [
"MIT"
] | null | null | null | # Solution of;
# Project Euler Problem 105: Special subset sums: testing
# https://projecteuler.net/problem=105
#
# Let S(A) represent the sum of elements in set A of size n.
# We shall call it a special sum set if for any two non-empty disjoint
# subsets, B and C, the following properties are true:
#
# S(B) S(C); ... | 34.916667 | 76 | 0.67144 |
e62e5420e9280590cadcb41f39f8b617ff3cad05 | 3,673 | py | Python | pyserver/item/attc/annotation.py | lbouma/Cyclopath | d09d927a1e6f9e07924007fd39e8e807cd9c0f8c | [
"Apache-2.0"
] | 15 | 2015-05-06T05:11:48.000Z | 2021-12-03T14:56:58.000Z | pyserver/item/attc/annotation.py | landonb/Cyclopath | d09d927a1e6f9e07924007fd39e8e807cd9c0f8c | [
"Apache-2.0"
] | null | null | null | pyserver/item/attc/annotation.py | landonb/Cyclopath | d09d927a1e6f9e07924007fd39e8e807cd9c0f8c | [
"Apache-2.0"
] | 8 | 2015-05-06T05:11:36.000Z | 2020-11-04T05:11:22.000Z | # Copyright (c) 2006-2013 Regents of the University of Minnesota.
# For licensing terms, see the file LICENSE.
import conf
import g
from item import attachment
from item import item_base
from item import item_versioned
from item.util.item_type import Item_Type
from util_.streetaddress import ccp_stop_words
log = g.l... | 30.355372 | 79 | 0.632181 |
e62e88ca85209412b46b34f3a3135f7a89043c82 | 183 | py | Python | examples/sandbox/sandbox/__main__.py | salt-die/nurses_2 | 29b76c34b9a28bf7c115998f4e81979966c82df0 | [
"MIT"
] | 171 | 2021-06-23T15:29:15.000Z | 2022-03-25T18:53:10.000Z | examples/sandbox/sandbox/__main__.py | salt-die/nurses_2 | 29b76c34b9a28bf7c115998f4e81979966c82df0 | [
"MIT"
] | 1 | 2022-01-07T05:08:35.000Z | 2022-01-10T04:53:57.000Z | examples/sandbox/sandbox/__main__.py | salt-die/nurses_2 | 29b76c34b9a28bf7c115998f4e81979966c82df0 | [
"MIT"
] | 3 | 2021-10-01T09:12:15.000Z | 2022-01-14T21:31:11.000Z | from nurses_2.app import App
from .sandbox import Sandbox
SandboxApp().run()
| 16.636364 | 48 | 0.704918 |
e630f7f1230425fb80852a1c185d9c2e86b9dabb | 4,985 | py | Python | midas2/common/bowtie2.py | czbiohub/microbiome-igg | fd4bc62bee15e53587a947ca32bf3c5b9e8022e6 | [
"MIT"
] | null | null | null | midas2/common/bowtie2.py | czbiohub/microbiome-igg | fd4bc62bee15e53587a947ca32bf3c5b9e8022e6 | [
"MIT"
] | 6 | 2022-03-14T19:37:52.000Z | 2022-03-14T19:51:47.000Z | midas2/common/bowtie2.py | czbiohub/microbiome-igg | fd4bc62bee15e53587a947ca32bf3c5b9e8022e6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import os
import numpy as np
from midas2.common.utils import tsprint, command, split, OutputStream
def build_bowtie2_db(bt2_db_dir, bt2_db_name, downloaded_files, num_cores):
""" Build Bowtie2 database for the collections of fasta files """
bt2_db_prefix = f"{bt2_db_dir}/{bt2_db_name}... | 38.643411 | 154 | 0.649549 |
e6314fc5be266fa2fd430fad718dac793df709ff | 3,541 | py | Python | src/race/src/my_lane_detection/findpoint.py | young43/ISCC_2020 | 2a7187410bceca901bd87b753a91fd35b73ca036 | [
"MIT"
] | 3 | 2020-11-13T04:59:27.000Z | 2021-04-02T06:36:03.000Z | src/race/src/my_lane_detection/findpoint.py | yongbeomkwak/ISCC_2021 | 7e7e5a8a14b9ed88e1cfbe2ee585fe24e4701015 | [
"MIT"
] | null | null | null | src/race/src/my_lane_detection/findpoint.py | yongbeomkwak/ISCC_2021 | 7e7e5a8a14b9ed88e1cfbe2ee585fe24e4701015 | [
"MIT"
] | 5 | 2020-09-13T09:06:16.000Z | 2021-06-19T02:31:23.000Z | import numpy as np
import cv2
| 40.238636 | 119 | 0.475572 |
e6315a99e2517f5c7110b8dd1b8d7574b184b340 | 6,198 | py | Python | backend/ibutsu_server/tasks/db.py | john-dupuy/ibutsu-server | ae380fc7a72a4898075291bac8fdb86952bfd06a | [
"MIT"
] | null | null | null | backend/ibutsu_server/tasks/db.py | john-dupuy/ibutsu-server | ae380fc7a72a4898075291bac8fdb86952bfd06a | [
"MIT"
] | null | null | null | backend/ibutsu_server/tasks/db.py | john-dupuy/ibutsu-server | ae380fc7a72a4898075291bac8fdb86952bfd06a | [
"MIT"
] | null | null | null | import time
from datetime import datetime
from datetime import timedelta
from bson import ObjectId
from bson.errors import InvalidId
from dynaconf import settings
from ibutsu_server.mongo import mongo
from ibutsu_server.tasks.queues import task
from ibutsu_server.tasks.results import add_result_start_time
from ibutsu_... | 35.016949 | 99 | 0.62262 |
e631a24a11407592b87e8e8c899720b7b1343b18 | 1,457 | py | Python | vectorc2/blocks/migrations/0002_initialize_data.py | sebastiankruk/vectorc2 | 13232cd63ebed32346fb4a669511b102b8ed24c0 | [
"Apache-2.0"
] | 11 | 2019-02-27T01:38:47.000Z | 2020-11-13T02:14:58.000Z | vectorc2/blocks/migrations/0002_initialize_data.py | sebastiankruk/vectorc2 | 13232cd63ebed32346fb4a669511b102b8ed24c0 | [
"Apache-2.0"
] | 20 | 2019-02-27T21:22:59.000Z | 2022-01-13T01:22:16.000Z | vectorc2/blocks/migrations/0002_initialize_data.py | sebastiankruk/vectorc2 | 13232cd63ebed32346fb4a669511b102b8ed24c0 | [
"Apache-2.0"
] | 1 | 2020-01-14T09:14:28.000Z | 2020-01-14T09:14:28.000Z | # Generated by Django 2.1.7 on 2019-05-14 20:36
from django.db import migrations
from blocks.models import AnimationName, AnimationTrigger
import anki_vector
def generate_names(apps, schema_editor):
"""
Helper function to populate names of animations and triggers and update their status
"""
def __update_or_... | 28.019231 | 86 | 0.705559 |
e6329473dcae584a805afb6f3b7a11b77f6eec4b | 130 | py | Python | src/app/groups/apps.py | serious-notreally/cappa | 993a8df35ca6c3b22f3ca811937fd29c07fc71aa | [
"MIT"
] | 9 | 2020-04-05T07:35:55.000Z | 2021-08-03T05:50:05.000Z | src/app/groups/apps.py | serious-notreally/cappa | 993a8df35ca6c3b22f3ca811937fd29c07fc71aa | [
"MIT"
] | 89 | 2020-01-26T11:50:06.000Z | 2022-03-31T07:14:18.000Z | src/app/groups/apps.py | serious-notreally/cappa | 993a8df35ca6c3b22f3ca811937fd29c07fc71aa | [
"MIT"
] | 13 | 2020-03-10T14:45:07.000Z | 2021-07-31T02:43:40.000Z | from django.apps import AppConfig
| 18.571429 | 35 | 0.738462 |
e6338656305747e7dd588f6558bdad231c542786 | 830 | py | Python | Estudos/namedtuple.py | Gbrvi/Python | 02f0125c990f06ccb5cd705b4bf6ec5ecb6d1eab | [
"MIT"
] | null | null | null | Estudos/namedtuple.py | Gbrvi/Python | 02f0125c990f06ccb5cd705b4bf6ec5ecb6d1eab | [
"MIT"
] | null | null | null | Estudos/namedtuple.py | Gbrvi/Python | 02f0125c990f06ccb5cd705b4bf6ec5ecb6d1eab | [
"MIT"
] | null | null | null | from collections import namedtuple
# tipo um dicionario, mais lento, mas imutvel!
#Jogador a classe | #Atributos da classe
J = namedtuple('Jogador', ['nome', 'time', 'camisa', 'numero'])
j = J('Abel Hernadez', 'Flu', 99, 100) #Adicionando valores
j2 = J('Fred', 'Fluminense', 9, 157)
... | 31.923077 | 91 | 0.591566 |
e6342f9f6fc2f8be229cda6971a2b29ca77c7c7c | 1,330 | py | Python | src/decker/format/command.py | douglasfarinelli/pydev | 9d43d485b102e5b44ee28894278ae496c3cec024 | [
"MIT"
] | 21 | 2020-12-11T17:59:50.000Z | 2022-03-12T02:22:09.000Z | src/decker/format/command.py | douglasfarinelli/decker | 9d43d485b102e5b44ee28894278ae496c3cec024 | [
"MIT"
] | null | null | null | src/decker/format/command.py | douglasfarinelli/decker | 9d43d485b102e5b44ee28894278ae496c3cec024 | [
"MIT"
] | 2 | 2021-07-31T00:05:25.000Z | 2021-11-04T12:09:26.000Z | import sys
from typing import List
import click
from decker.conf import Config
from decker.utils import print_done
from .pool import FormatterBackendPool
from .services import run_format
| 19 | 80 | 0.635338 |
e63506be46724ae2661303db422a81cac16e9cfd | 709 | py | Python | seeds.py | hazzillrodriguez/Flaskdesk | 16123f4d63c686a3332f3f91eda9bb3a8e2a3ed5 | [
"MIT"
] | null | null | null | seeds.py | hazzillrodriguez/Flaskdesk | 16123f4d63c686a3332f3f91eda9bb3a8e2a3ed5 | [
"MIT"
] | null | null | null | seeds.py | hazzillrodriguez/Flaskdesk | 16123f4d63c686a3332f3f91eda9bb3a8e2a3ed5 | [
"MIT"
] | null | null | null | from app import app, db
from app.models import Category, Priority, Status
from sqlalchemy.exc import SQLAlchemyError
category = 'Uncategorized'
priorities = ['Low', 'Medium', 'High', 'Urgent']
statuses = ['Open', 'Resolved', 'Pending', 'Closed']
with app.app_context():
if db_commit():
for priority, status in zip(p... | 28.36 | 63 | 0.734838 |
e637df68b541d6e5860c6604066ab8cbf8d7df24 | 164 | py | Python | xs/nn/__init__.py | eLeVeNnN/xshinnosuke | 69da91e0ea5042437edfc31c0e6ff9ef394c6cc9 | [
"MIT"
] | 290 | 2020-07-06T02:13:12.000Z | 2021-01-04T14:23:39.000Z | xs/nn/__init__.py | E1eveNn/xshinnosuke | 69da91e0ea5042437edfc31c0e6ff9ef394c6cc9 | [
"MIT"
] | 1 | 2020-12-03T11:11:48.000Z | 2020-12-03T11:11:48.000Z | xs/nn/__init__.py | E1eveNn/xshinnosuke | 69da91e0ea5042437edfc31c0e6ff9ef394c6cc9 | [
"MIT"
] | 49 | 2020-07-16T00:27:47.000Z | 2020-11-26T03:03:14.000Z | from .objectives import MSELoss, CrossEntropyLoss
from .models import Sequential, Model, Module
from .grad_fn import Parameter, Tensor
from .td_functional import *
| 32.8 | 49 | 0.823171 |
e63871f321b5d3bb45b965cb63b221c456ac757e | 2,527 | py | Python | eval/plot.py | yhlleo/TriangleGAN | 5bab76561e75145c2645a93e23d22abd3f66f329 | [
"BSD-3-Clause"
] | 32 | 2019-07-15T11:11:57.000Z | 2022-01-09T11:03:00.000Z | eval/plot.py | yhlleo/TriangleGAN | 5bab76561e75145c2645a93e23d22abd3f66f329 | [
"BSD-3-Clause"
] | null | null | null | eval/plot.py | yhlleo/TriangleGAN | 5bab76561e75145c2645a93e23d22abd3f66f329 | [
"BSD-3-Clause"
] | 4 | 2019-07-17T09:00:14.000Z | 2021-11-16T21:20:25.000Z | # plot prd scores
import os
import json
from matplotlib import pyplot as plt
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("json_files", nargs="*")
parser.add_argument("--output_fig", type=str, default='prd.png')
args = parser.parse_args()
def plot(precision_recall_pairs, labels=None, out_pat... | 37.716418 | 79 | 0.693708 |
e63ab07fc8212736ff3ef91cca7ad9e31b8c2243 | 2,218 | py | Python | data_output.py | adebraine/Time-Series-RNN | 2e5ef0a222d84e15ed09141724fa437492c1466e | [
"MIT"
] | null | null | null | data_output.py | adebraine/Time-Series-RNN | 2e5ef0a222d84e15ed09141724fa437492c1466e | [
"MIT"
] | null | null | null | data_output.py | adebraine/Time-Series-RNN | 2e5ef0a222d84e15ed09141724fa437492c1466e | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import keras
| 35.206349 | 92 | 0.595131 |
e63b0d4192a6f56afdb4ff053aeafe21f3a6cf89 | 1,837 | py | Python | vector_auto_regression.py | hotpxl/nebuchadnezzar | b26e0f19b9fdfeb8baa094e0f5ee2526cefb6409 | [
"MIT"
] | 2 | 2015-05-20T18:02:40.000Z | 2016-08-07T18:57:27.000Z | vector_auto_regression.py | hotpxl/nebuchadnezzar | b26e0f19b9fdfeb8baa094e0f5ee2526cefb6409 | [
"MIT"
] | null | null | null | vector_auto_regression.py | hotpxl/nebuchadnezzar | b26e0f19b9fdfeb8baa094e0f5ee2526cefb6409 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3.4
import stats.data
import stats.plot
import stats.preprocess
import pandas
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.dates
import datetime
from statsmodels.tsa.api import VAR, DynamicVAR
sse_indices = stats.data.sse_indices()
for i in sse_indices:
d = stats.data.g... | 37.489796 | 132 | 0.625476 |
e63cd901a3e8b73ecbb160ecf9c349073434a2bf | 2,086 | py | Python | ArticleClassifierTF/src/data_models/weights/theme_weights.py | joduss/ArticleClassifier | 38c0e168cdd74214b7f591c7cfc7b93fc496e46b | [
"Unlicense"
] | null | null | null | ArticleClassifierTF/src/data_models/weights/theme_weights.py | joduss/ArticleClassifier | 38c0e168cdd74214b7f591c7cfc7b93fc496e46b | [
"Unlicense"
] | null | null | null | ArticleClassifierTF/src/data_models/weights/theme_weights.py | joduss/ArticleClassifier | 38c0e168cdd74214b7f591c7cfc7b93fc496e46b | [
"Unlicense"
] | null | null | null | from typing import Dict, List
from classifier.preprocessing.article_theme_tokenizer import ArticleThemeTokenizer
from data_models.ThemeStat import ThemeStat
| 32.59375 | 93 | 0.650527 |
e63cf8d084bbaa33179f664b68770d2a61c1830b | 2,688 | py | Python | installation_text.py | bryanrtboy/videoselector | 6867c14ebb3f9ac563a2aa5533806ec4872a53e9 | [
"MIT"
] | 1 | 2017-12-10T12:42:09.000Z | 2017-12-10T12:42:09.000Z | installation_text.py | bryanrtboy/videoselector | 6867c14ebb3f9ac563a2aa5533806ec4872a53e9 | [
"MIT"
] | null | null | null | installation_text.py | bryanrtboy/videoselector | 6867c14ebb3f9ac563a2aa5533806ec4872a53e9 | [
"MIT"
] | null | null | null | #!/usr/bin/python
from pssh import SSHClient, ParallelSSHClient, utils
import datetime
import time
import random
import sys
output = []
hosts = ['client0', 'client1', 'client2','client3', 'client4']
client = ParallelSSHClient(hosts)
values = ["bear","cake","fork","pipe","gun"]
#if you need to get a response back f... | 29.217391 | 111 | 0.679315 |
e63d83d29b28004d4dc6e59ec720b1e34cdc3bc7 | 3,744 | py | Python | poi/cache.py | jchluo/poi | 6892d3e219ee2b841053a41d308887a5e6b60017 | [
"Apache-2.0"
] | 10 | 2016-01-11T09:24:38.000Z | 2021-07-20T06:40:15.000Z | poi/cache.py | jchluo/poi | 6892d3e219ee2b841053a41d308887a5e6b60017 | [
"Apache-2.0"
] | 1 | 2018-04-10T04:48:18.000Z | 2018-04-10T04:48:18.000Z | poi/cache.py | jchluo/poi | 6892d3e219ee2b841053a41d308887a5e6b60017 | [
"Apache-2.0"
] | 8 | 2016-01-11T09:24:56.000Z | 2020-04-23T08:25:53.000Z | # -*- coding: utf-8 -*-
"""Cache Recommender.
dump : run topN predict item for each user, and
dump them to file like object(disk file or memory).
load : recover from file like object, return CacheRecommender.
Note that this recommender just a tiny version of the original one,
which can... | 27.328467 | 75 | 0.576656 |
e63da7efdb0e189e1a9e15a53af922678e7b6e0e | 2,335 | py | Python | p2p/protocol.py | teotoplak/trinity | 6c67b5debfb94f74d0162c70f92ae3d13918b174 | [
"MIT"
] | null | null | null | p2p/protocol.py | teotoplak/trinity | 6c67b5debfb94f74d0162c70f92ae3d13918b174 | [
"MIT"
] | null | null | null | p2p/protocol.py | teotoplak/trinity | 6c67b5debfb94f74d0162c70f92ae3d13918b174 | [
"MIT"
] | null | null | null | import logging
from typing import (
Any,
Sequence,
Tuple,
Type,
)
from eth_utils.toolz import accumulate
from p2p.abc import (
CommandAPI,
ProtocolAPI,
TransportAPI,
)
from p2p.constants import P2P_PROTOCOL_COMMAND_LENGTH
from p2p.typing import Capability
def get_cmd_offsets(protocol_ty... | 31.986301 | 93 | 0.677088 |
e63f1e8cde7eb9bc19101fd61c76b84d56a931e5 | 6,314 | py | Python | soocii_services_lib/tokens.py | jonascheng/services-lib | 5345be2ddeab8bbdbeccbc2bcbecf3202163d0bc | [
"Apache-2.0"
] | null | null | null | soocii_services_lib/tokens.py | jonascheng/services-lib | 5345be2ddeab8bbdbeccbc2bcbecf3202163d0bc | [
"Apache-2.0"
] | 5 | 2017-11-23T08:24:09.000Z | 2018-12-25T04:42:48.000Z | soocii_services_lib/tokens.py | jonascheng/services-lib | 5345be2ddeab8bbdbeccbc2bcbecf3202163d0bc | [
"Apache-2.0"
] | 3 | 2017-06-28T07:54:40.000Z | 2018-12-25T04:44:42.000Z | import binascii
import json
import time
import jsonschema
from .crypter import AESCipher
from .exceptions import AccessTokenValidationError, RefreshTokenValidationError, TokenExpiredError, TokenSchemaError
| 28.062222 | 116 | 0.464365 |
e648ade42231ae7382e8ffb8232ee7fd02bab1ce | 6,060 | py | Python | software/camera-imu/tools/imu_driver_alt.py | MomsFriendlyRobotCompany/mjolnir | 76f53e8e650ba1051b5f14e94ff2a9a283158da4 | [
"MIT"
] | 1 | 2020-08-17T04:36:14.000Z | 2020-08-17T04:36:14.000Z | software/camera-imu/tools/imu_driver_alt.py | MomsFriendlyRobotCompany/mjolnir | 76f53e8e650ba1051b5f14e94ff2a9a283158da4 | [
"MIT"
] | null | null | null | software/camera-imu/tools/imu_driver_alt.py | MomsFriendlyRobotCompany/mjolnir | 76f53e8e650ba1051b5f14e94ff2a9a283158da4 | [
"MIT"
] | 1 | 2021-04-06T08:26:03.000Z | 2021-04-06T08:26:03.000Z |
from serial import Serial
import struct
from math import log10, sin, cos, acos, atan2, asin, pi, sqrt
import time
from collections import namedtuple
from colorama import Fore
# agmpt_t = namedtuple("agmpt_t", "accel gyro mag pressure temperature timestamp")
# ImageIMU = namedtuple("ImageIMU","image accel gyro tempera... | 25.897436 | 87 | 0.518317 |
e64b61756e2c5141a88d05ce00a52ea06f0af2cf | 1,718 | py | Python | main.py | hwangseonu/pokeka | 39e56c59dfc85a0c73232ac9105766ef060aa90e | [
"MIT"
] | 1 | 2021-06-01T05:26:48.000Z | 2021-06-01T05:26:48.000Z | main.py | hwangseonu/pokeka | 39e56c59dfc85a0c73232ac9105766ef060aa90e | [
"MIT"
] | null | null | null | main.py | hwangseonu/pokeka | 39e56c59dfc85a0c73232ac9105766ef060aa90e | [
"MIT"
] | null | null | null | import base64
import svgwrite
import svgwrite.container
import svgwrite.shapes
import svgwrite.image
import bs4
import os
from urllib.request import urlopen
from selenium import webdriver
index = 0
code = input(' .> ')
os.mkdir(code)
url = 'https://pokemoncard.co.kr/recipe/search?code=' + code
driver = webdriver.P... | 24.542857 | 81 | 0.610594 |
e64c6e151cf650530049e08cc621f9b0d7bf3833 | 967 | py | Python | save.py | jonoxia/pencilbox | 1ebcbefd0110a2d23ad0da27427df2e32eadfbfe | [
"Condor-1.1"
] | 3 | 2015-04-01T07:20:09.000Z | 2020-12-26T02:37:56.000Z | save.py | jonoxia/pencilbox | 1ebcbefd0110a2d23ad0da27427df2e32eadfbfe | [
"Condor-1.1"
] | null | null | null | save.py | jonoxia/pencilbox | 1ebcbefd0110a2d23ad0da27427df2e32eadfbfe | [
"Condor-1.1"
] | null | null | null | #!/usr/bin/python
from database_tables import DrawingHistory
from webserver_utils import verify_id
import cgi
import cgitb
import datetime
cgitb.enable()
q = cgi.FieldStorage()
history = q.getfirst("history", "")
layers = q.getfirst("layers", "")
title = q.getfirst("title", "")
artist = verify_id()
matches = Dra... | 23.585366 | 64 | 0.677353 |
e64d3c1360f948a0e4e91a1e5bc77802db0ff7e0 | 2,148 | py | Python | synthesis/paramGen/testcase2.py | hyunynim/DIST-Renderer | 4717ee8cea77f4f413b61f380a893c6800d0bde5 | [
"MIT"
] | 176 | 2020-06-11T19:16:33.000Z | 2022-03-29T01:38:28.000Z | synthesis/paramGen/testcase2.py | hyunynim/DIST-Renderer | 4717ee8cea77f4f413b61f380a893c6800d0bde5 | [
"MIT"
] | 6 | 2020-06-26T05:26:56.000Z | 2021-11-10T07:31:21.000Z | synthesis/paramGen/testcase2.py | hyunynim/DIST-Renderer | 4717ee8cea77f4f413b61f380a893c6800d0bde5 | [
"MIT"
] | 23 | 2020-06-11T21:43:03.000Z | 2022-02-18T00:16:16.000Z | '''
2019-08-07 00:01
Method:
20 x 5 grid over (camera x lighting)
'''
VIEW_NUM, LIGHTING_NUM = 20, 5
import os, sys
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from src.param_decomposer import AllParams
| 39.777778 | 103 | 0.640596 |
e64e4471df6551917b2b1289cce293fbc929f162 | 12,219 | py | Python | daisy-world/dashdir/plotting.py | frossmann/addon_containers | de6dde175947b24bbfa35d94d44c9d9633a73226 | [
"BSD-3-Clause"
] | null | null | null | daisy-world/dashdir/plotting.py | frossmann/addon_containers | de6dde175947b24bbfa35d94d44c9d9633a73226 | [
"BSD-3-Clause"
] | null | null | null | daisy-world/dashdir/plotting.py | frossmann/addon_containers | de6dde175947b24bbfa35d94d44c9d9633a73226 | [
"BSD-3-Clause"
] | 2 | 2021-11-16T06:05:02.000Z | 2021-11-18T17:16:35.000Z | import plotly.graph_objects as go
import plotly.figure_factory as ff
import numpy as np
import calculations as calc
from plotly.subplots import make_subplots
| 30.022113 | 87 | 0.554301 |
e64e9265798874238fe8da1d312e841fe0ab8876 | 36 | py | Python | opendart/config/__init__.py | JehunYoo/opendart | c88105baf85af57d006cc2404d192aaf9baf73cc | [
"MIT"
] | null | null | null | opendart/config/__init__.py | JehunYoo/opendart | c88105baf85af57d006cc2404d192aaf9baf73cc | [
"MIT"
] | 2 | 2021-07-12T10:59:20.000Z | 2021-07-13T02:06:27.000Z | opendart/config/__init__.py | JehunYoo/opendart | c88105baf85af57d006cc2404d192aaf9baf73cc | [
"MIT"
] | null | null | null | from opendart.config.config import * | 36 | 36 | 0.833333 |
e64ebb3be618b728917060906d4f5af8a1cfc287 | 10,720 | py | Python | NetworkScanners/libs/Pyssh/pyssh.py | isislovecruft/torflow | 666689ad18d358d764a35d041a7b16adb8d3287c | [
"BSD-3-Clause"
] | null | null | null | NetworkScanners/libs/Pyssh/pyssh.py | isislovecruft/torflow | 666689ad18d358d764a35d041a7b16adb8d3287c | [
"BSD-3-Clause"
] | 1 | 2018-12-18T15:58:40.000Z | 2018-12-26T16:52:51.000Z | NetworkScanners/libs/Pyssh/pyssh.py | isislovecruft/torflow | 666689ad18d358d764a35d041a7b16adb8d3287c | [
"BSD-3-Clause"
] | null | null | null | """A SSH Interface class.
An interface to ssh on posix systems, and plink (part of the Putty
suite) on Win32 systems.
By Rasjid Wilcox.
Copyright (c) 2002.
Version: 0.2
Last modified 4 September 2002.
Drawing on ideas from work by Julian Schaefer-Jasinski, Guido's telnetlib and
version 0.1 of pyssh (htt... | 33.395639 | 82 | 0.547201 |
e64ec15e4f7b983862625b28f909feef4c9e7bb4 | 3,894 | py | Python | pygacal/camera/__init__.py | ereide/pyga-camcal | fd25748ddb11c5b05ef24a2deca2689e0d899875 | [
"MIT"
] | 5 | 2018-05-22T09:11:31.000Z | 2022-03-11T02:32:01.000Z | pygacal/camera/__init__.py | ereide/pyga-camcal | fd25748ddb11c5b05ef24a2deca2689e0d899875 | [
"MIT"
] | null | null | null | pygacal/camera/__init__.py | ereide/pyga-camcal | fd25748ddb11c5b05ef24a2deca2689e0d899875 | [
"MIT"
] | null | null | null |
from clifford import g3c
import numpy as np
import scipy.optimize as opt
from pygacal.rotation.costfunction import restrictedImageCostFunction, restrictedMultiViewImageCostFunction
from pygacal.rotation import minimizeError
from pygacal.rotation.mapping import BivectorLineImageMapping, BivectorLineMapping, LineProper... | 34.460177 | 159 | 0.612994 |
e651cc7d2f10c7d86c7ce7b411ef45695942e02f | 1,320 | py | Python | tests/test_utils.py | SalemHarrache/dbcut | 0fd60e15f3b5532c5c531923d2e9ef08ce17c935 | [
"MIT"
] | 16 | 2019-11-22T16:36:56.000Z | 2022-03-12T01:49:03.000Z | tests/test_utils.py | SalemHarrache/dbcut | 0fd60e15f3b5532c5c531923d2e9ef08ce17c935 | [
"MIT"
] | 3 | 2019-11-23T06:11:30.000Z | 2020-06-23T13:34:04.000Z | tests/test_utils.py | SalemHarrache/dbcut | 0fd60e15f3b5532c5c531923d2e9ef08ce17c935 | [
"MIT"
] | 4 | 2019-11-22T20:42:57.000Z | 2022-02-23T09:10:00.000Z | import unittest
from collections import OrderedDict
from dbcut.utils import sorted_nested_dict
| 22.372881 | 82 | 0.524242 |
e6543ff7671521504ac838b1689dbe9bfbccaca2 | 4,704 | py | Python | sprout/runner.py | tjduigna/sprout | d8762ce7e6f04bb082b8ca1e65f73d8900338d9d | [
"Apache-2.0"
] | null | null | null | sprout/runner.py | tjduigna/sprout | d8762ce7e6f04bb082b8ca1e65f73d8900338d9d | [
"Apache-2.0"
] | null | null | null | sprout/runner.py | tjduigna/sprout | d8762ce7e6f04bb082b8ca1e65f73d8900338d9d | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2019, Sprout Development Team
# Distributed under the terms of the Apache License 2.0
import os
import asyncio
import asyncpg
from tortoise import Tortoise
import sprout
def create_schemas(self, app=None, schemas=None):
"""Initialize db schemas"""
self.app = a... | 32.895105 | 67 | 0.577594 |
e6546737a433ea44c0aabf656ba019b30d17d227 | 1,033 | py | Python | tests/test_service.py | beepscore/pi_gpio_service | 47aa9c6e4e378a168320d1f42b6d4c18c998e4db | [
"MIT"
] | 2 | 2018-10-16T18:22:04.000Z | 2021-05-04T21:09:53.000Z | tests/test_service.py | beepscore/pi_gpio_service | 47aa9c6e4e378a168320d1f42b6d4c18c998e4db | [
"MIT"
] | null | null | null | tests/test_service.py | beepscore/pi_gpio_service | 47aa9c6e4e378a168320d1f42b6d4c18c998e4db | [
"MIT"
] | null | null | null | #!/usr/bin/env/python3
import unittest
from pi_gpio_service import service
| 30.382353 | 77 | 0.535334 |
e654e957c98bffeffb8209db916fbae89bbb1792 | 2,726 | py | Python | sangam_poem_csv.py | naturalstupid/sangam_tamil_bot | 2b8117504f10ce4b4bdc2fa8160951374c9d1516 | [
"MIT"
] | null | null | null | sangam_poem_csv.py | naturalstupid/sangam_tamil_bot | 2b8117504f10ce4b4bdc2fa8160951374c9d1516 | [
"MIT"
] | null | null | null | sangam_poem_csv.py | naturalstupid/sangam_tamil_bot | 2b8117504f10ce4b4bdc2fa8160951374c9d1516 | [
"MIT"
] | null | null | null | import string
import regex
import pandas as pd
from pandas.tests.io.parser import index_col
sangam_text_folder = "./sangam_tamil_text/"
sangam_poem_folder = "./sangam_tamil_poems/"
sangam_csv_folder = "./sangam_tamil_csv/"
data_files = ['agananuru','purananuru','ainkurunuru','kalithokai', 'kurunthokai', 'natrinai', 'p... | 69.897436 | 128 | 0.655906 |
e65ac754450ace4ed72f64034c033bc64885d270 | 4,026 | py | Python | backend/src/chat/api/views.py | CSCapstone2019/WebDoctor | cda9e4e2bd2c4e22dc4a4aa9c0758e67cdee62d5 | [
"MIT"
] | 4 | 2019-09-13T14:50:22.000Z | 2019-11-27T03:19:44.000Z | backend/src/chat/api/views.py | CSCapstone2019/WebDoctor | cda9e4e2bd2c4e22dc4a4aa9c0758e67cdee62d5 | [
"MIT"
] | 8 | 2019-09-15T23:02:21.000Z | 2022-02-10T09:26:10.000Z | backend/src/chat/api/views.py | CSCapstone2019/WebDoctor | cda9e4e2bd2c4e22dc4a4aa9c0758e67cdee62d5 | [
"MIT"
] | null | null | null | from django.contrib.auth import get_user_model
from django.shortcuts import get_object_or_404
from rest_framework import permissions
from rest_framework import viewsets
from django.views.decorators.csrf import csrf_exempt
from django.core.files.storage import FileSystemStorage
from rest_framework.generics import (
... | 29.822222 | 80 | 0.748634 |
e65bcafb9495c37c2cdeefdfa42cd99132b78632 | 6,256 | py | Python | flask_opa.py | hirosh7/flask-opa | a090083ce62944d1085a6923572ed9c68f0dbfa3 | [
"MIT"
] | 34 | 2018-10-16T03:12:44.000Z | 2022-02-21T09:53:13.000Z | flask_opa.py | hirosh7/flask-opa | a090083ce62944d1085a6923572ed9c68f0dbfa3 | [
"MIT"
] | 12 | 2018-10-17T00:41:27.000Z | 2021-03-16T12:58:33.000Z | flask_opa.py | hirosh7/flask-opa | a090083ce62944d1085a6923572ed9c68f0dbfa3 | [
"MIT"
] | 8 | 2019-05-28T19:54:41.000Z | 2022-02-23T13:19:33.000Z | """
Flask Extension for OPA
"""
import requests
from flask.app import Flask
__version__ = "1.0.0"
| 30.076923 | 78 | 0.605499 |
e65e9051029543698ac667d8972b05b6ac01763f | 8,920 | py | Python | model.py | Schrodinger1926/Project-3 | 88f8a1411a712a8ba62036e400ebce9e6df8e40f | [
"MIT"
] | null | null | null | model.py | Schrodinger1926/Project-3 | 88f8a1411a712a8ba62036e400ebce9e6df8e40f | [
"MIT"
] | null | null | null | model.py | Schrodinger1926/Project-3 | 88f8a1411a712a8ba62036e400ebce9e6df8e40f | [
"MIT"
] | null | null | null | import sys
import os
import csv
from random import shuffle
import cv2
import numpy as np
import matplotlib.pyplot as plt
import sklearn
from sklearn.model_selection import train_test_split
from keras.models import Sequential
from keras.layers import Flatten,\
Dense,\
... | 27.875 | 118 | 0.638453 |
e65f8dcc762ad6c2b71e1c9a7964a20b18c50603 | 3,807 | py | Python | enlarge_form/enlarge_form.py | lester-lees/extra_addons_sz | cddaf972cf4ea64c553bcff0006eb006a115d5ee | [
"Apache-2.0"
] | null | null | null | enlarge_form/enlarge_form.py | lester-lees/extra_addons_sz | cddaf972cf4ea64c553bcff0006eb006a115d5ee | [
"Apache-2.0"
] | null | null | null | enlarge_form/enlarge_form.py | lester-lees/extra_addons_sz | cddaf972cf4ea64c553bcff0006eb006a115d5ee | [
"Apache-2.0"
] | null | null | null | #! -*- encoding: utf-8 -*-
from openerp import addons
from openerp.osv import fields, osv, orm
from openerp import tools
from openerp.tools.translate import _
| 34.297297 | 186 | 0.504334 |
e65fe6b2cc9e13aae056f4e22435bebdff299fe1 | 1,148 | py | Python | tests/test_app.py | betasewer/machaon | 63ccb4405ac693f14f9d25f6a706466a917dddbf | [
"MIT"
] | 2 | 2020-07-05T08:39:12.000Z | 2022-01-19T22:08:21.000Z | tests/test_app.py | betasewer/machaon | 63ccb4405ac693f14f9d25f6a706466a917dddbf | [
"MIT"
] | 23 | 2020-06-23T16:18:17.000Z | 2021-12-29T09:56:48.000Z | tests/test_app.py | betasewer/machaon | 63ccb4405ac693f14f9d25f6a706466a917dddbf | [
"MIT"
] | null | null | null | from machaon.app import AppRoot, deploy_directory, transfer_deployed_directory
from machaon.process import Spirit, TempSpirit
from machaon.types.shell import Path
| 39.586207 | 87 | 0.715157 |
e66034257961b772951c35834b998bf6cf78de31 | 74 | py | Python | 02 Algorithm Reference/06 Securities and Portfolio/01 Securities and Portfolio Classes/03 code.py | Jay-Jay-D/Documentation | c4894e5ac20355ec82ee0db19618ad7f17bf8592 | [
"Apache-2.0"
] | null | null | null | 02 Algorithm Reference/06 Securities and Portfolio/01 Securities and Portfolio Classes/03 code.py | Jay-Jay-D/Documentation | c4894e5ac20355ec82ee0db19618ad7f17bf8592 | [
"Apache-2.0"
] | null | null | null | 02 Algorithm Reference/06 Securities and Portfolio/01 Securities and Portfolio Classes/03 code.py | Jay-Jay-D/Documentation | c4894e5ac20355ec82ee0db19618ad7f17bf8592 | [
"Apache-2.0"
] | null | null | null | #Securities array access to Security Objects:
self.Securities["IBM"].Price | 37 | 45 | 0.810811 |
e66228a86c2396ec8a63b8d48e9ca8a5edd9c594 | 502 | py | Python | migrations/versions/1d09e9261d5_.py | mainulhossain/biowl | 039adc96539fae25843b1fc36074a4e5e55830ec | [
"MIT"
] | null | null | null | migrations/versions/1d09e9261d5_.py | mainulhossain/biowl | 039adc96539fae25843b1fc36074a4e5e55830ec | [
"MIT"
] | null | null | null | migrations/versions/1d09e9261d5_.py | mainulhossain/biowl | 039adc96539fae25843b1fc36074a4e5e55830ec | [
"MIT"
] | 1 | 2020-01-05T10:47:21.000Z | 2020-01-05T10:47:21.000Z | """empty message
Revision ID: 1d09e9261d5
Revises: 40d93619b7d
Create Date: 2016-12-16 11:38:41.336859
"""
# revision identifiers, used by Alembic.
revision = '1d09e9261d5'
down_revision = '40d93619b7d'
from alembic import op
import sqlalchemy as sa
| 18.592593 | 63 | 0.687251 |
e6622feade344255592fd9a7d47d6b9f1bd055ff | 5,732 | py | Python | hops/xattr.py | robzor92/hops-util-py | 88540a0c2b4e366fe6d2acb0441cea9378150c01 | [
"Apache-2.0"
] | 24 | 2018-09-20T17:56:43.000Z | 2021-11-11T23:34:43.000Z | hops/xattr.py | robzor92/hops-util-py | 88540a0c2b4e366fe6d2acb0441cea9378150c01 | [
"Apache-2.0"
] | 39 | 2018-10-04T15:19:07.000Z | 2021-12-23T10:50:33.000Z | hops/xattr.py | robzor92/hops-util-py | 88540a0c2b4e366fe6d2acb0441cea9378150c01 | [
"Apache-2.0"
] | 23 | 2018-09-18T07:51:56.000Z | 2021-08-10T12:10:27.000Z | """
API for attaching, detaching, and reading extended metadata to HopsFS files/directories.
It uses the Hopsworks /xattrs REST API
"""
from hops import constants, util, hdfs
from hops.exceptions import RestAPIError
import urllib
def set_xattr(hdfs_path, xattr_name, value):
"""
Attach an extended attribute to... | 53.074074 | 116 | 0.694348 |
e66279995933e8ecb67f6f34946455046a6bef43 | 96 | py | Python | protonn/vis/__init__.py | protoNN-ai/protoNN | 812fd524a8c2de49612bbb1fc991c503fe3f1202 | [
"Apache-2.0"
] | 3 | 2018-06-20T08:37:13.000Z | 2019-02-21T00:14:47.000Z | protonn/vis/__init__.py | protoNN-ai/protoNN | 812fd524a8c2de49612bbb1fc991c503fe3f1202 | [
"Apache-2.0"
] | null | null | null | protonn/vis/__init__.py | protoNN-ai/protoNN | 812fd524a8c2de49612bbb1fc991c503fe3f1202 | [
"Apache-2.0"
] | null | null | null | from .vis import df_from_file, df_from_dir, filter_by, PivotTable
from .lines import plot_lines
| 32 | 65 | 0.833333 |
e663a08bf8bd9abb5a531e95d22eb32be3364bee | 2,173 | py | Python | slidingWindow/smallestSubarrayWithGivenSum.py | YasinEhsan/interview-prep | ed9f95af5a37b05304e45b41511068b6f72533e7 | [
"Apache-2.0"
] | 11 | 2019-05-02T22:27:01.000Z | 2020-10-30T08:43:02.000Z | slidingWindow/smallestSubarrayWithGivenSum.py | YasinEhsan/interview-prep | ed9f95af5a37b05304e45b41511068b6f72533e7 | [
"Apache-2.0"
] | null | null | null | slidingWindow/smallestSubarrayWithGivenSum.py | YasinEhsan/interview-prep | ed9f95af5a37b05304e45b41511068b6f72533e7 | [
"Apache-2.0"
] | 3 | 2019-11-01T01:35:01.000Z | 2020-01-11T18:00:39.000Z | # 5 27 20
# 5 25 20
# added import
import math
# 3 tries
# 5.18.20
# forgot that sliding window is in while loop shinking bc last val might ewaql 3 first vals
def smallest_subarray_with_given_sum(s, arr):
# TODO: Write your code here
'''
- have starting index, have currLen, minLen
- one found t... | 23.879121 | 196 | 0.658997 |
e666c5e9e0189a92959abe01ef942dcddf54c96d | 16,028 | py | Python | build/build.py | lukas-ke/faint-graphics-editor | 33eb9e6a3f2216fb2cf6ef9709a14f3d20b78fbf | [
"Apache-2.0"
] | 10 | 2016-12-28T22:06:31.000Z | 2021-05-24T13:42:30.000Z | build/build.py | lukas-ke/faint-graphics-editor | 33eb9e6a3f2216fb2cf6ef9709a14f3d20b78fbf | [
"Apache-2.0"
] | 4 | 2015-10-09T23:55:10.000Z | 2020-04-04T08:09:22.000Z | build/build.py | lukas-ke/faint-graphics-editor | 33eb9e6a3f2216fb2cf6ef9709a14f3d20b78fbf | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2014 Lukas Kemmer
#
# 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... | 31.12233 | 109 | 0.630334 |
e6671dd4f2c0b71c8a3b385713a43ac751148356 | 2,119 | py | Python | printAlternatively.py | kamwithak/competitiveProgramming | ab4433568081900212a8a987d7bf8cb78d2698d1 | [
"MIT"
] | null | null | null | printAlternatively.py | kamwithak/competitiveProgramming | ab4433568081900212a8a987d7bf8cb78d2698d1 | [
"MIT"
] | 1 | 2020-07-19T15:40:25.000Z | 2020-07-19T15:40:25.000Z | printAlternatively.py | kamwithak/competitiveProgramming | ab4433568081900212a8a987d7bf8cb78d2698d1 | [
"MIT"
] | null | null | null |
obj = Solution(A=[3,2,1], B=[3,2,1])
obj.printAlternativelySameSize()
"""
Given two arrays, print each element alternatively
For example)
arr1 = [a,b,c,d]
arr2 = [e,f,g,h,i,j,k]
=> a e b f c g d h i j k
"""
obj = Solution(['a', 'b', 'c', 'd'], ['e','f','g','h','i','j','k'])
obj.print_lists()... | 21.40404 | 77 | 0.547428 |
e667758e13389c3d1155786a731f2598edf57be3 | 981 | py | Python | test/test_theaigame_bot.py | gnmerritt/poker | 5e7241efac1b0757f39c28f6d485f4d79960095b | [
"MIT"
] | 5 | 2015-04-09T02:45:12.000Z | 2018-06-27T05:34:41.000Z | test/test_theaigame_bot.py | gnmerritt/poker | 5e7241efac1b0757f39c28f6d485f4d79960095b | [
"MIT"
] | null | null | null | test/test_theaigame_bot.py | gnmerritt/poker | 5e7241efac1b0757f39c28f6d485f4d79960095b | [
"MIT"
] | 2 | 2017-09-19T04:49:07.000Z | 2018-12-09T19:58:18.000Z | import unittest
from pokeher.theaigame_bot import TheAiGameBot
| 31.645161 | 79 | 0.670744 |
e66883315cccecf4d95a549214dcc1704e5e4e46 | 429 | py | Python | tests/test_exp.py | SiddeshSambasivam/MatterIx | e9d3bc54c4f5793cc1262c89c7cb9d5a9dd99139 | [
"MIT"
] | 9 | 2020-07-25T12:00:30.000Z | 2021-07-07T09:30:57.000Z | tests/test_exp.py | SiddeshSambasivam/MatterIx | e9d3bc54c4f5793cc1262c89c7cb9d5a9dd99139 | [
"MIT"
] | null | null | null | tests/test_exp.py | SiddeshSambasivam/MatterIx | e9d3bc54c4f5793cc1262c89c7cb9d5a9dd99139 | [
"MIT"
] | null | null | null | import unittest
from matterix import Tensor
import numpy as np
| 25.235294 | 58 | 0.638695 |
e6691884e90ad61e89f19cad4d887cbd1d5007c5 | 2,161 | py | Python | tests/scripts/run_lookups.py | abelard2008/overlog | 8df2bb95d2e39e41dd8e30249da6bb8a1615f39f | [
"BSD-3-Clause"
] | 3 | 2016-01-26T22:19:12.000Z | 2019-07-10T02:12:38.000Z | tests/scripts/run_lookups.py | abelard2008/overlog | 8df2bb95d2e39e41dd8e30249da6bb8a1615f39f | [
"BSD-3-Clause"
] | null | null | null | tests/scripts/run_lookups.py | abelard2008/overlog | 8df2bb95d2e39e41dd8e30249da6bb8a1615f39f | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python2
# -*- Mode: python -*-
#
# DESCRIPTION: Setup and run n chord nodes.
#
#
import getopt
import os
import sys
import time
import random
import signal
import threading
if __name__ == "__main__":
try:
flags, args = parse_cmdline(sys.argv)
except:
print_usage()
sys.exi... | 30.43662 | 126 | 0.529847 |
e6692d7fe75e939ec528720c041175b24637e974 | 1,722 | py | Python | src/tests/test_task_2_4.py | Python-course/Python-course | 59de0ef9928aeaa5dd185ceaafa334eb8e719217 | [
"MIT"
] | null | null | null | src/tests/test_task_2_4.py | Python-course/Python-course | 59de0ef9928aeaa5dd185ceaafa334eb8e719217 | [
"MIT"
] | null | null | null | src/tests/test_task_2_4.py | Python-course/Python-course | 59de0ef9928aeaa5dd185ceaafa334eb8e719217 | [
"MIT"
] | null | null | null | """
2.4.
"""
from unittest import TestCase, main
from fractions import Fraction
from tasks import task_2_4
if __name__ == "__main__":
main(verbosity=2)
| 28.7 | 103 | 0.577236 |
e6693d31028174fac6a03f7991d1cc9f5830e4f5 | 1,007 | py | Python | aioweb_auth/helpers.py | kreopt/aioweb_auth | e6a982296b52fc2068dd09afb0827dab527ef9b7 | [
"MIT"
] | null | null | null | aioweb_auth/helpers.py | kreopt/aioweb_auth | e6a982296b52fc2068dd09afb0827dab527ef9b7 | [
"MIT"
] | null | null | null | aioweb_auth/helpers.py | kreopt/aioweb_auth | e6a982296b52fc2068dd09afb0827dab527ef9b7 | [
"MIT"
] | null | null | null | from aiohttp import web
from aiohttp_security import authorized_userid
from aioweb.conf import settings
| 34.724138 | 70 | 0.725919 |
e669828a1fd8d946f628655596de52579956c2b4 | 442 | py | Python | Leetcode/560-Subarray_Sum.py | EdwaRen/Competitve-Programming | e8bffeb457936d28c75ecfefb5a1f316c15a9b6c | [
"MIT"
] | 1 | 2021-05-03T21:48:25.000Z | 2021-05-03T21:48:25.000Z | Leetcode/560-Subarray_Sum.py | EdwaRen/Competitve_Programming | e8bffeb457936d28c75ecfefb5a1f316c15a9b6c | [
"MIT"
] | null | null | null | Leetcode/560-Subarray_Sum.py | EdwaRen/Competitve_Programming | e8bffeb457936d28c75ecfefb5a1f316c15a9b6c | [
"MIT"
] | null | null | null |
a = Solution()
print(a.subarraySum([1, 2, 1, 2], 3))
| 22.1 | 39 | 0.466063 |
c6fd9ed01bdcac2a90cc2cff054eefd30d07deb0 | 3,901 | py | Python | functions/aou/tests/upload_test_files.py | broadinstitute/wfl | 1e5691100330a9afa0270fb4bab0a7d0a7d3bdc2 | [
"BSD-3-Clause"
] | 15 | 2020-03-04T17:30:25.000Z | 2022-03-09T14:57:26.000Z | functions/aou/tests/upload_test_files.py | broadinstitute/wfl | 1e5691100330a9afa0270fb4bab0a7d0a7d3bdc2 | [
"BSD-3-Clause"
] | 184 | 2020-03-06T20:55:15.000Z | 2022-03-15T18:24:57.000Z | functions/aou/tests/upload_test_files.py | broadinstitute/wfl | 1e5691100330a9afa0270fb4bab0a7d0a7d3bdc2 | [
"BSD-3-Clause"
] | 2 | 2020-07-08T19:16:26.000Z | 2020-07-10T18:47:30.000Z | """ Helper script that copies all of the files for an arrays sample into the dev aou input bucket. This will trigger
the submit_aou_workload cloud function for each file. When all files have been uploaded, it will launch an arrays
workflow via the workflow launcher (but only if a workflow with that chipwell barcode & a... | 47.573171 | 141 | 0.681364 |
c6fe87b224a7fdc40686930d3055375689c20f4c | 2,019 | py | Python | warp_gui.py | maciejczechowski/CarND-Advanced-Lane-Lines | 058a17a2ac1e0ee4c1e8fa2fc5222cb7d2eaa230 | [
"MIT"
] | null | null | null | warp_gui.py | maciejczechowski/CarND-Advanced-Lane-Lines | 058a17a2ac1e0ee4c1e8fa2fc5222cb7d2eaa230 | [
"MIT"
] | null | null | null | warp_gui.py | maciejczechowski/CarND-Advanced-Lane-Lines | 058a17a2ac1e0ee4c1e8fa2fc5222cb7d2eaa230 | [
"MIT"
] | null | null | null | import numpy as np
import cv2
from src import lane_finder as lf
from src import parameters
import argparse
parser = argparse.ArgumentParser(description='Visualizes the warp transform.')
parser.add_argument('filename')
args = parser.parse_args()
image = cv2.imread(args.filename)
params = parameters.LaneFinderParams... | 25.884615 | 103 | 0.602278 |
05007036c73f4b4b153318ac832ce22662ff0e07 | 2,041 | py | Python | election_data/uc_santa_barbara/2017/src_data/parser/ElectionBallotParser.py | dkupsh/stvote | dbe906681a171c5654341b93dc0fb5b0208cfd33 | [
"MIT"
] | null | null | null | election_data/uc_santa_barbara/2017/src_data/parser/ElectionBallotParser.py | dkupsh/stvote | dbe906681a171c5654341b93dc0fb5b0208cfd33 | [
"MIT"
] | null | null | null | election_data/uc_santa_barbara/2017/src_data/parser/ElectionBallotParser.py | dkupsh/stvote | dbe906681a171c5654341b93dc0fb5b0208cfd33 | [
"MIT"
] | null | null | null | ###############
# Ballot Parser for UC Berkeley Results
#
# This ballot parser has been tailored to the ballot
# system used by UCB. If you use another software
# to define ballots, ensure the data returned by the
# ballot parser returns data in the following fashion:
#
# [
# {
# "ballot_id": "unique_ballot_i... | 26.166667 | 82 | 0.526213 |
05018611063b1ec5bb0bc5adba5e6965095d97d4 | 5,971 | py | Python | deco/__init__.py | patdex/deco | 83141719b3b68fb1e99b43384a25288aea5c3e8c | [
"MIT"
] | null | null | null | deco/__init__.py | patdex/deco | 83141719b3b68fb1e99b43384a25288aea5c3e8c | [
"MIT"
] | null | null | null | deco/__init__.py | patdex/deco | 83141719b3b68fb1e99b43384a25288aea5c3e8c | [
"MIT"
] | null | null | null | import collections
import inspect
import time
import re
# module config:
disable_tracing = False
indent = True
# indentation for log output
_log_indent = dict()
def indent_str(cnt, end=False):
"""
indent string
:param cnt: indentation count
:param end: close actual indentation?
:return:
""... | 26.420354 | 117 | 0.601574 |
0501d436e365fc40c731e765ab901eb50645cb02 | 1,489 | py | Python | main.py | ytyaru/Hatena.WebSite.Login.201703040757 | 11ffc5549398478146a9966189e06cf535b34092 | [
"CC0-1.0"
] | null | null | null | main.py | ytyaru/Hatena.WebSite.Login.201703040757 | 11ffc5549398478146a9966189e06cf535b34092 | [
"CC0-1.0"
] | null | null | null | main.py | ytyaru/Hatena.WebSite.Login.201703040757 | 11ffc5549398478146a9966189e06cf535b34092 | [
"CC0-1.0"
] | null | null | null | #!python3
#encoding:utf-8
from urllib.request import build_opener, HTTPCookieProcessor
from urllib.parse import urlencode
from http.cookiejar import CookieJar
import pprint
import dataset
if __name__ == '__main__':
hatena_id = 'ytyaru'
client = HatenaSite(
path_hatena_accounts_sqlite3 ... | 33.088889 | 110 | 0.646071 |
05031a4fb3f43f4e15927e78ef77f8dcad229be0 | 767 | py | Python | csf_tz/fleet_management/doctype/vehicle/vehicle.py | Craftint/CSF_TZ | b5cb2d59d8f4e958ad7d4cb89421cfbec992abc5 | [
"MIT"
] | 4 | 2021-09-24T12:30:32.000Z | 2022-03-19T14:55:34.000Z | csf_tz/fleet_management/doctype/vehicle/vehicle.py | Craftint/CSF_TZ | b5cb2d59d8f4e958ad7d4cb89421cfbec992abc5 | [
"MIT"
] | null | null | null | csf_tz/fleet_management/doctype/vehicle/vehicle.py | Craftint/CSF_TZ | b5cb2d59d8f4e958ad7d4cb89421cfbec992abc5 | [
"MIT"
] | 7 | 2021-09-24T12:30:33.000Z | 2022-03-21T11:34:02.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2015, Bravo Logistics and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe.model.document import Document
| 25.566667 | 62 | 0.741851 |
05067ca48cd1bf1cfe7a6e17e6b2e4d00c579d5b | 3,780 | py | Python | app/mysql2json.py | ToHanwei/CORD | 09f75b136431222ec945b2ddd6798ae805ec332e | [
"MIT"
] | null | null | null | app/mysql2json.py | ToHanwei/CORD | 09f75b136431222ec945b2ddd6798ae805ec332e | [
"MIT"
] | null | null | null | app/mysql2json.py | ToHanwei/CORD | 09f75b136431222ec945b2ddd6798ae805ec332e | [
"MIT"
] | null | null | null | #!coding:utf-8
import json
import pymysql
import pandas as pd
| 30.983607 | 100 | 0.552381 |
0506e61a9ace0c2d5bc6f23b2cc7e615718656a8 | 3,583 | py | Python | dict2xml.py | lucasicf/dict2xml | 7421414c71e1d95a4d60e84f942379edb4df2df5 | [
"BSD-3-Clause"
] | 12 | 2015-07-12T20:07:10.000Z | 2022-02-10T05:16:14.000Z | dict2xml.py | lucasicf/dict2xml | 7421414c71e1d95a4d60e84f942379edb4df2df5 | [
"BSD-3-Clause"
] | null | null | null | dict2xml.py | lucasicf/dict2xml | 7421414c71e1d95a4d60e84f942379edb4df2df5 | [
"BSD-3-Clause"
] | 7 | 2015-05-21T09:39:52.000Z | 2021-02-28T22:01:15.000Z | # -*- coding: utf-8 -*-
from xml.dom import minidom
import re
# Thrown on any dictionary error
_iter_dict_sorted = lambda dic: sorted(
dic.iteritems(), key=(lambda key_value: _dict_sort_key(key_value))
)
DATATYPE_ROOT_DICT = 0
DATATYPE_KEY = 1
DATATYPE_ATTR = 2
DATATYPE_ATTRS = 3
# Recursive core function
| 34.786408 | 88 | 0.6542 |
05071a1ee7761ffc57199c77291dcea3601a853d | 1,247 | py | Python | 06_rotation_transformation.py | Mathanraj-Sharma/OpenCV_Sample_Codes | a20710fa05d7817b9c4c78acc64b852b0cde7583 | [
"Apache-2.0"
] | 1 | 2019-11-23T06:52:58.000Z | 2019-11-23T06:52:58.000Z | 06_rotation_transformation.py | Mathanraj-Sharma/OpenCV_Sample_Codes | a20710fa05d7817b9c4c78acc64b852b0cde7583 | [
"Apache-2.0"
] | null | null | null | 06_rotation_transformation.py | Mathanraj-Sharma/OpenCV_Sample_Codes | a20710fa05d7817b9c4c78acc64b852b0cde7583 | [
"Apache-2.0"
] | 1 | 2019-11-23T11:18:37.000Z | 2019-11-23T11:18:37.000Z | import cv2
import argparse
import numpy as np
ap = argparse.ArgumentParser()
ap.add_argument('-i', required = True, help = 'Enter the path of Image')
args = vars(ap.parse_args())
image = cv2.imread(args['i'])
def rotate(image, point, angle, scale):
"""
this function will take an image and rotate it through the g... | 22.267857 | 75 | 0.690457 |
0507429bfe72a62ce8131002bc3538a2af143672 | 3,972 | py | Python | feichangzun/directGetFlightData.py | Octoberr/weizhuangIP | d37e82df35d0b8b84bfa38f3a487fd81ab969070 | [
"Apache-2.0"
] | null | null | null | feichangzun/directGetFlightData.py | Octoberr/weizhuangIP | d37e82df35d0b8b84bfa38f3a487fd81ab969070 | [
"Apache-2.0"
] | null | null | null | feichangzun/directGetFlightData.py | Octoberr/weizhuangIP | d37e82df35d0b8b84bfa38f3a487fd81ab969070 | [
"Apache-2.0"
] | null | null | null | import getflightdata
import requests
from bs4 import BeautifulSoup
import random
import json
import pymongo
import datetime
from Utils.config import config
# import config
mongoConf = config['mongo']
feichangzun = 'http://www.variflight.com/flight/fnum/'
feichangzunhouzui = '.html?AE71649A58c77&fdate='
#
# fl... | 34.842105 | 108 | 0.629909 |
0507ce8c6b29b5cd6c3e947a8e5f6cea05343e0b | 2,402 | py | Python | face/face-30sec.py | eric-erki/ai-smarthome | ca7316ebe72b0ad26f0b59e3186426633807cac8 | [
"BSD-2-Clause"
] | 28 | 2018-08-09T13:10:34.000Z | 2022-01-07T13:39:31.000Z | face/face-30sec.py | eric-erki/ai-smarthome | ca7316ebe72b0ad26f0b59e3186426633807cac8 | [
"BSD-2-Clause"
] | 4 | 2018-08-09T13:18:12.000Z | 2021-04-06T19:04:54.000Z | face/face-30sec.py | eric-erki/ai-smarthome | ca7316ebe72b0ad26f0b59e3186426633807cac8 | [
"BSD-2-Clause"
] | 15 | 2018-12-17T09:17:28.000Z | 2021-03-02T11:25:05.000Z | import numpy as np
import cv2
import face_recognition
import time
# Load a sample picture and learn how to recognize it.
me_image = face_recognition.load_image_file("known/joakim.png")
me_face_encoding = face_recognition.face_encodings(me_image)[0]
known_face_encodings = [
me_face_encoding,
]
known_face_names = [... | 32.459459 | 89 | 0.651957 |
0509cd66d3399c704328d6c31b4db43646200a86 | 8,576 | py | Python | sdtables/sdtables.py | cunningr/sdtables | a698acbeca30e5451ca3285292f089109b360a04 | [
"MIT"
] | null | null | null | sdtables/sdtables.py | cunningr/sdtables | a698acbeca30e5451ca3285292f089109b360a04 | [
"MIT"
] | 1 | 2020-06-25T08:55:00.000Z | 2021-03-22T12:54:48.000Z | sdtables/sdtables.py | cunningr/sdtables | a698acbeca30e5451ca3285292f089109b360a04 | [
"MIT"
] | 1 | 2020-07-03T10:18:58.000Z | 2020-07-03T10:18:58.000Z | # coding: utf-8
"""
xlTables - Load/generate table data with Excel
from python dictionary structures
cunningr - 2020
Requires openpyxl >= 2.6.2, jsonschema
"""
import os
import openpyxl
from openpyxl import Workbook
from sdtables import xlTables
from tabulate import tabulate
# Retrieve a list o... | 40.262911 | 160 | 0.649021 |
050a2b44b8dd6b46945c916a81b519efe47b76fb | 2,473 | py | Python | solutions/dropbox/compare_functions.py | roman-kachanovsky/checkio | 3134cbc04ed56e92006d1e2f09d7365e900953db | [
"BSD-3-Clause"
] | 1 | 2017-02-07T19:50:52.000Z | 2017-02-07T19:50:52.000Z | solutions/dropbox/compare_functions.py | roman-kachanovsky/checkio-python | 3134cbc04ed56e92006d1e2f09d7365e900953db | [
"BSD-3-Clause"
] | null | null | null | solutions/dropbox/compare_functions.py | roman-kachanovsky/checkio-python | 3134cbc04ed56e92006d1e2f09d7365e900953db | [
"BSD-3-Clause"
] | null | null | null | """ --- Compare Functions --- Simple
Two functions f and g are provided as inputs to checkio.
The first function f is the primary function and the second
function g is the backup. Use your coding skills to return
a third function h which returns the same output as f unless
f raises an exception or returns None. In thi... | 32.973333 | 78 | 0.595633 |
050b0bea353171a3c51a6088825350acb0d9291f | 3,402 | py | Python | yawndb/sync.py | selectel/python-yawndb | 6d1c7d4b16a5cb5ef96496a22a3afb0bae7f2bb6 | [
"MIT"
] | null | null | null | yawndb/sync.py | selectel/python-yawndb | 6d1c7d4b16a5cb5ef96496a22a3afb0bae7f2bb6 | [
"MIT"
] | null | null | null | yawndb/sync.py | selectel/python-yawndb | 6d1c7d4b16a5cb5ef96496a22a3afb0bae7f2bb6 | [
"MIT"
] | null | null | null | """
yawndb.sync
~~~~~~~~~~~
Sync YAWNDB transport. Use standart socket object methods.
"""
import time
import json
import socket
import urllib2
import logging
from collections import deque
from yawndb._base import _YAWNDBBase
_logger = logging.getLogger(__name__)
| 29.076923 | 79 | 0.546149 |
050b23d1c21cc11db93c4c94dba0b845a1f1693e | 1,209 | py | Python | setup.py | ofek/depq | 370e3ad503d3e9cedc3c49dc64add393ba945764 | [
"MIT"
] | 1 | 2019-02-12T13:17:56.000Z | 2019-02-12T13:17:56.000Z | setup.py | ofek/depq | 370e3ad503d3e9cedc3c49dc64add393ba945764 | [
"MIT"
] | 4 | 2016-12-10T20:17:38.000Z | 2017-06-16T19:02:47.000Z | setup.py | ofek/depq | 370e3ad503d3e9cedc3c49dc64add393ba945764 | [
"MIT"
] | 5 | 2016-12-10T20:13:42.000Z | 2020-09-28T09:02:10.000Z | from setuptools import setup, find_packages
with open('README.rst', 'r') as infile:
read_me = infile.read()
setup(
packages=find_packages(),
name='depq',
version='1.5.5',
description='Double-ended priority queue',
long_description=read_me,
author='Ofek Lev',
author_email='ofekmeister@... | 28.116279 | 71 | 0.612076 |
050bc5ae6e8eba8aac368023fb49c3014cb5ef03 | 880 | py | Python | tests/exact_tests/contour_tests/strategies.py | lycantropos/rene | c73c616f3e360b994e92c950a3616a8ccb1136b9 | [
"MIT"
] | null | null | null | tests/exact_tests/contour_tests/strategies.py | lycantropos/rene | c73c616f3e360b994e92c950a3616a8ccb1136b9 | [
"MIT"
] | null | null | null | tests/exact_tests/contour_tests/strategies.py | lycantropos/rene | c73c616f3e360b994e92c950a3616a8ccb1136b9 | [
"MIT"
] | null | null | null | from hypothesis import strategies
from rithm import Fraction
from rene import MIN_CONTOUR_VERTICES_COUNT
from rene.exact import (Contour,
Point)
integers = strategies.integers()
non_zero_integers = integers.filter(bool)
scalars = (integers | strategies.fractions()
| strategies.build... | 36.666667 | 73 | 0.664773 |
050d54bffebd30db922715e17f24f419261765d4 | 2,834 | py | Python | bendyprank.py | gazhay/bendyprank | 9af6b2536fb54001fe1681551362418f1ae78ed3 | [
"Unlicense"
] | null | null | null | bendyprank.py | gazhay/bendyprank | 9af6b2536fb54001fe1681551362418f1ae78ed3 | [
"Unlicense"
] | null | null | null | bendyprank.py | gazhay/bendyprank | 9af6b2536fb54001fe1681551362418f1ae78ed3 | [
"Unlicense"
] | null | null | null | /*
Bendy and the Ink Machine, BATIM, and all graphics and sounds are The Meatly
NOT AN OFFICIAL BENDY AND THE INK MACHINE PRODUCT. NOT APPROVED BY OR ASSOCIATED WITH THEMEATLY GAMES, LTD.
Code below released under GPLv2
*/
import wx
import subprocess
from random import randint
from time import sleep
I... | 34.560976 | 111 | 0.617855 |
050f7c817ca7e48958c01acf2a63b083dd36ff69 | 1,347 | py | Python | src/answer_key.py | quuu/ASCIImage | d276b9428b8b127069999ffe8e025e8e0ad43c0c | [
"MIT"
] | 2 | 2018-08-01T02:13:31.000Z | 2018-08-01T03:02:31.000Z | src/answer_key.py | quuu/Genetic-ASCIImage | d276b9428b8b127069999ffe8e025e8e0ad43c0c | [
"MIT"
] | 11 | 2018-08-12T13:28:19.000Z | 2018-09-08T19:15:30.000Z | src/answer_key.py | quuu/ASCIImage | d276b9428b8b127069999ffe8e025e8e0ad43c0c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import os
from skimage import io
from skimage import color
from PIL import Image
#TODO Multi-thread
def avg_brightness(image_list):
"""
A list of grey scale images
"""
brightness_per_block=[]
for image in image_list:
img_shape = image.shape
img_Size = image... | 26.94 | 71 | 0.626578 |
05108d99ff3259ead7d1205123464ffd5c4850a2 | 5,504 | py | Python | app.py | makerdao-data/gov-tracker | 52b7588e5c200b0af5b64a2891b276cbcc149ff1 | [
"Apache-2.0"
] | null | null | null | app.py | makerdao-data/gov-tracker | 52b7588e5c200b0af5b64a2891b276cbcc149ff1 | [
"Apache-2.0"
] | null | null | null | app.py | makerdao-data/gov-tracker | 52b7588e5c200b0af5b64a2891b276cbcc149ff1 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 DAI Foundation
#
# 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,... | 28.518135 | 117 | 0.677871 |
051130482cb3691a34b0be84581c86dd2a4ce54f | 3,280 | py | Python | open_spiel/python/mst/run_mst.py | BrandonKates/open_spiel | f820abe9bdfdbc4bd45c2e933439393d4ad3622a | [
"Apache-2.0"
] | null | null | null | open_spiel/python/mst/run_mst.py | BrandonKates/open_spiel | f820abe9bdfdbc4bd45c2e933439393d4ad3622a | [
"Apache-2.0"
] | null | null | null | open_spiel/python/mst/run_mst.py | BrandonKates/open_spiel | f820abe9bdfdbc4bd45c2e933439393d4ad3622a | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 DeepMind Technologies Ltd. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | 34.166667 | 129 | 0.695122 |
0511c5e889756be6d1498e4e5630fe4522e1af10 | 176 | py | Python | dzien1/p1_start.py | angelm1974/przyklady | ee0483ca69b789270641f3cd6c945b0cd0afbea9 | [
"MIT"
] | 1 | 2021-09-20T21:48:11.000Z | 2021-09-20T21:48:11.000Z | dzien1/p1_start.py | angelm1974/przyklady | ee0483ca69b789270641f3cd6c945b0cd0afbea9 | [
"MIT"
] | null | null | null | dzien1/p1_start.py | angelm1974/przyklady | ee0483ca69b789270641f3cd6c945b0cd0afbea9 | [
"MIT"
] | null | null | null |
from PyQt6.QtWidgets import QApplication, QWidget
import sys # komentarz
app = QApplication(sys.argv) # ([]) -bez argumentw
window = QWidget()
window.show()
app.exec()
| 14.666667 | 52 | 0.715909 |
0511cceb2ee442a4c70aeab49d84be0233b7fcac | 10,952 | py | Python | classify.py | clulab/incivility | 82d8e8164b81e9f4d5737520f2cbf308d3fcd033 | [
"Apache-2.0"
] | 1 | 2020-09-18T12:05:13.000Z | 2020-09-18T12:05:13.000Z | classify.py | clulab/incivility | 82d8e8164b81e9f4d5737520f2cbf308d3fcd033 | [
"Apache-2.0"
] | null | null | null | classify.py | clulab/incivility | 82d8e8164b81e9f4d5737520f2cbf308d3fcd033 | [
"Apache-2.0"
] | null | null | null | import argparse
import os
import subprocess
from typing import List, Sequence, Text
import textwrap
import numpy as np
import pandas as pd
import sklearn
import tensorflow as tf
import tensorflow_addons as tfa
import transformers
import data
import models
import ga
if __name__ == "__main__":
parser = argpars... | 38.975089 | 137 | 0.603543 |
051260c977d73217e66d8ef66398ae1931f7b899 | 814 | py | Python | p2/src/prove.py | ruimgf/AIDS | 72bc808ef5e21113f635f34581d18c0dc2c8c7da | [
"MIT"
] | null | null | null | p2/src/prove.py | ruimgf/AIDS | 72bc808ef5e21113f635f34581d18c0dc2c8c7da | [
"MIT"
] | null | null | null | p2/src/prove.py | ruimgf/AIDS | 72bc808ef5e21113f635f34581d18c0dc2c8c7da | [
"MIT"
] | null | null | null | import sys
from kb import *
#receives a list of setences if it is in test mode
if __name__ == '__main__':
print(main())
| 25.4375 | 69 | 0.5086 |
0513d4822718f78bada1c9c056ce41bfe1fb2ffe | 472 | py | Python | rest_framework_tracking/mixins.py | Zagrebelin/drf-tracking | 5fe102439e7baaffc886253e39c21dd96481391f | [
"ISC"
] | 387 | 2015-05-26T08:23:52.000Z | 2022-03-18T11:10:44.000Z | rest_framework_tracking/mixins.py | Zagrebelin/drf-tracking | 5fe102439e7baaffc886253e39c21dd96481391f | [
"ISC"
] | 138 | 2015-05-26T16:20:25.000Z | 2021-09-22T18:07:24.000Z | rest_framework_tracking/mixins.py | Zagrebelin/drf-tracking | 5fe102439e7baaffc886253e39c21dd96481391f | [
"ISC"
] | 121 | 2015-09-25T16:53:48.000Z | 2021-08-18T12:42:04.000Z | from .base_mixins import BaseLoggingMixin
from .models import APIRequestLog
| 21.454545 | 49 | 0.658898 |
0514df3dee36ec46f44f8239441b8f0b35d0374b | 758 | py | Python | stub_extractor/util.py | srittau/stub-extractor | f161c10a2f041a74040a04e00e0b0d33cb94a0fe | [
"MIT"
] | null | null | null | stub_extractor/util.py | srittau/stub-extractor | f161c10a2f041a74040a04e00e0b0d33cb94a0fe | [
"MIT"
] | null | null | null | stub_extractor/util.py | srittau/stub-extractor | f161c10a2f041a74040a04e00e0b0d33cb94a0fe | [
"MIT"
] | null | null | null | from typing import Iterator, List, Optional, Sequence, Tuple, TypeVar
_T1 = TypeVar("_T1")
_T2 = TypeVar("_T2")
def rzip_longest(
seq1: Sequence[_T1], seq2: Sequence[_T2]
) -> Iterator[Tuple[_T1, Optional[_T2]]]:
"""Make an iterator over tuples, with elements from the input sequences.
If the second sequ... | 30.32 | 76 | 0.647757 |
05167a6a94f7c83fc6497eed1db4333dd9bd4308 | 12,980 | py | Python | weibospider.py | Chiang97912/WeiboSpider | 2c426d2dfa8c6d418b66bd54002c292194872c88 | [
"MIT"
] | null | null | null | weibospider.py | Chiang97912/WeiboSpider | 2c426d2dfa8c6d418b66bd54002c292194872c88 | [
"MIT"
] | null | null | null | weibospider.py | Chiang97912/WeiboSpider | 2c426d2dfa8c6d418b66bd54002c292194872c88 | [
"MIT"
] | 1 | 2021-05-07T06:35:22.000Z | 2021-05-07T06:35:22.000Z | # -*- coding: UTF-8 -*-
import os
import json
import time
import rsa
import base64
import urllib
import binascii
import traceback
import requests
import pandas as pd
from lxml import etree
from datetime import datetime
def main():
blacklist_file = 'blacklist.txt' #
config = {
'query': '', #
... | 39.938462 | 170 | 0.469106 |
0516e5d4fd543c80d6f16ba01f4a7586b969a893 | 3,783 | py | Python | spoty/commands/get_second_group.py | dy-sh/spoty | 431a392707c8754da713871e0e7747bcc4417274 | [
"MIT"
] | 2 | 2022-02-01T16:49:32.000Z | 2022-03-02T18:30:31.000Z | spoty/commands/get_second_group.py | dy-sh/spoty | 431a392707c8754da713871e0e7747bcc4417274 | [
"MIT"
] | null | null | null | spoty/commands/get_second_group.py | dy-sh/spoty | 431a392707c8754da713871e0e7747bcc4417274 | [
"MIT"
] | null | null | null | from spoty.commands.first_list_commands import \
count_command, \
export_command, \
print_command
from spoty.commands.second_list_commands import \
filter_second_group, \
find_duplicates_second_command,\
find_deezer_second_group, \
find_spotify_second_group
from spoty.commands import get_gro... | 50.44 | 187 | 0.641819 |
05195432ec2c13cb2bd586385c70cb0f3fcc21ab | 19,804 | py | Python | jenkins_job_wrecker/modules/triggers.py | romanek-adam/jenkins-job-wrecker | db9379d852afe8b621c7688d34fd057d916de8f2 | [
"MIT"
] | 1 | 2020-06-05T06:36:50.000Z | 2020-06-05T06:36:50.000Z | jenkins_job_wrecker/modules/triggers.py | romanek-adam/jenkins-job-wrecker | db9379d852afe8b621c7688d34fd057d916de8f2 | [
"MIT"
] | 15 | 2020-05-18T07:37:06.000Z | 2020-08-24T09:16:08.000Z | jenkins_job_wrecker/modules/triggers.py | romanek-adam/jenkins-job-wrecker | db9379d852afe8b621c7688d34fd057d916de8f2 | [
"MIT"
] | null | null | null | # encoding=utf8
import jenkins_job_wrecker.modules.base
from jenkins_job_wrecker.helpers import get_bool, Mapper
| 51.572917 | 119 | 0.569683 |
051d3484ddd9be778a5ba470d36fedfb5de63393 | 4,097 | py | Python | tools/clean-parallel.py | ZJaume/clean | 0c3c6bab8bf173687ec0bba6908097ef7bc38db2 | [
"MIT"
] | 1 | 2021-06-02T03:08:32.000Z | 2021-06-02T03:08:32.000Z | tools/clean-parallel.py | ZJaume/clean | 0c3c6bab8bf173687ec0bba6908097ef7bc38db2 | [
"MIT"
] | 1 | 2021-05-30T22:55:44.000Z | 2021-06-02T08:47:56.000Z | tools/clean-parallel.py | ZJaume/clean | 0c3c6bab8bf173687ec0bba6908097ef7bc38db2 | [
"MIT"
] | 2 | 2021-06-01T19:07:43.000Z | 2021-06-03T11:03:04.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import re
import regex
import argparse
# The variables below need to be adjusted for a language pair and dataset.
# To add a new language, define the list of alpha characters in the dict below.
MIN_LENGTH = 1 # minimum number of words in a sentence
MAX_L... | 32.515873 | 96 | 0.640469 |
051e064cf78fe1b3efaa1e563322f576984f94e9 | 24,624 | py | Python | rubika/client.py | Bahman-Ahmadi/rubika | 924e82434f9468cadf481af7b29695f642af7e99 | [
"MIT"
] | 23 | 2021-12-06T09:54:01.000Z | 2022-03-31T19:44:29.000Z | rubika/client.py | Bahman-Ahmadi/rubika | 924e82434f9468cadf481af7b29695f642af7e99 | [
"MIT"
] | 4 | 2022-01-08T19:27:40.000Z | 2022-03-30T13:18:23.000Z | rubika/client.py | Bahman-Ahmadi/rubika | 924e82434f9468cadf481af7b29695f642af7e99 | [
"MIT"
] | 13 | 2021-12-08T14:18:39.000Z | 2022-03-30T13:20:37.000Z | from pathlib import Path
from requests import post
from random import randint
from json import loads, dumps
import random, datetime, rubika.encryption
# because should be exist !
adminsAccess = {
"pin":"PinMessages",
"newAdmin":"SetAdmin",
"editInfo":"ChangeInfo",
"banMember":"BanMember",
"changeLink":"SetJoinLin... | 29.349225 | 2,034 | 0.634665 |
051f4dab5a5f1bed25333ea9cb6d58c8c48a834b | 424 | py | Python | lpyHardway/logic/ex2.py | oreanroy/learn_modules | fb1debc612940b65c409d8f5b35a3b4e16e67494 | [
"MIT"
] | null | null | null | lpyHardway/logic/ex2.py | oreanroy/learn_modules | fb1debc612940b65c409d8f5b35a3b4e16e67494 | [
"MIT"
] | 17 | 2019-12-01T16:56:29.000Z | 2022-03-02T04:49:51.000Z | lpyHardway/logic/ex2.py | oreanroy/learn_modules | fb1debc612940b65c409d8f5b35a3b4e16e67494 | [
"MIT"
] | 1 | 2019-09-28T00:43:54.000Z | 2019-09-28T00:43:54.000Z | people = 30
cars = 40
buses = 15
if cars > people:
print "We should take the cars."
elif cars < people:
print "we should not take the cars."
else:
print "we can't decide."
if buses > cars:
print " That's too many buses"
elif buses < cars:
print " Maybe we could take the bus."
else:
print "we stil can't decide."... | 17.666667 | 38 | 0.676887 |
0520b1fd12c6c807e99e2585c0ad990c4a9c1185 | 3,001 | py | Python | undercrawler/crazy_form_submitter.py | abael/ScrapyGenericCrawler | 9d210fb862a7fddd58c548847d8f5c2d72eae5c1 | [
"MIT"
] | 88 | 2016-04-07T18:41:19.000Z | 2022-01-03T12:18:44.000Z | undercrawler/crazy_form_submitter.py | shekar9160/generic_scraper | e5104dca5a5d9fe4b9ddd085c7b0935a712ea74d | [
"MIT"
] | 61 | 2016-04-06T18:31:45.000Z | 2021-07-15T12:10:23.000Z | undercrawler/crazy_form_submitter.py | shekar9160/generic_scraper | e5104dca5a5d9fe4b9ddd085c7b0935a712ea74d | [
"MIT"
] | 31 | 2016-04-14T07:49:49.000Z | 2021-08-08T17:07:36.000Z | import logging
import random
import string
from scrapy.http.request.form import _get_inputs as get_form_data
logger = logging.getLogger(__name__)
SEARCH_TERMS = list(string.ascii_lowercase) + list('123456789 *%.?')
| 40.554054 | 78 | 0.638121 |
0520c8a0308bb129120ec328a9eacba21da937c0 | 277 | py | Python | python/pid.py | gin2018/test_tools | 46d911da6719ae2069ed4e87bdcc6922c21459a5 | [
"MIT"
] | null | null | null | python/pid.py | gin2018/test_tools | 46d911da6719ae2069ed4e87bdcc6922c21459a5 | [
"MIT"
] | null | null | null | python/pid.py | gin2018/test_tools | 46d911da6719ae2069ed4e87bdcc6922c21459a5 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
pid_file = open("pid.txt", "w")
x = np.linspace(0, 2 * np.pi, 100)
print x
pid_file.write(x)
y1, y2 = np.sin(x), np.cos(x)
plt.plot(x, y1, label='y = sin(x)')
plt.plot(x, y2, label='y = cos(x)')
plt.legend()
plt.show()
| 16.294118 | 35 | 0.624549 |
0524ab92ab97c6f8922dd3dd0c03bf3b79b8a0ee | 921 | py | Python | libs/libssh2/libssh2.py | simont77/craft-blueprints-kde | 3c0a40923c7c8e0341ad08afde22f86bb1517ddf | [
"BSD-2-Clause"
] | null | null | null | libs/libssh2/libssh2.py | simont77/craft-blueprints-kde | 3c0a40923c7c8e0341ad08afde22f86bb1517ddf | [
"BSD-2-Clause"
] | 1 | 2020-01-10T01:06:16.000Z | 2020-01-10T01:06:16.000Z | libs/libssh2/libssh2.py | simont77/craft-blueprints-kde | 3c0a40923c7c8e0341ad08afde22f86bb1517ddf | [
"BSD-2-Clause"
] | 2 | 2020-01-02T18:22:12.000Z | 2020-08-05T13:39:21.000Z | # -*- coding: utf-8 -*-
import info
from Package.CMakePackageBase import *
| 38.375 | 108 | 0.667752 |
05260b29fa65b53dc965a1c89ebcef95a1a96d54 | 396 | py | Python | test/config_generator_test.py | jnohlgard/projector-installer | 52aeaa936aa21d9fa6aee109d78e209fa068821b | [
"Apache-2.0"
] | null | null | null | test/config_generator_test.py | jnohlgard/projector-installer | 52aeaa936aa21d9fa6aee109d78e209fa068821b | [
"Apache-2.0"
] | null | null | null | test/config_generator_test.py | jnohlgard/projector-installer | 52aeaa936aa21d9fa6aee109d78e209fa068821b | [
"Apache-2.0"
] | null | null | null | """Test config_generator.py module"""
from unittest import TestCase
from projector_installer.config_generator import token_quote
| 30.461538 | 73 | 0.739899 |
05273ebf4b8d4eb6302f146e1b519e163f850d92 | 5,289 | py | Python | tooling/maven.py | AntonisGkortzis/Vulnerabilities-in-Reused-Software | 16b2087cb595b48446dadda8cae75dad6ef1433b | [
"MIT"
] | 3 | 2020-11-24T20:30:59.000Z | 2021-05-26T02:33:53.000Z | tooling/maven.py | AntonisGkortzis/Vulnerabilities-in-Reused-Software | 16b2087cb595b48446dadda8cae75dad6ef1433b | [
"MIT"
] | null | null | null | tooling/maven.py | AntonisGkortzis/Vulnerabilities-in-Reused-Software | 16b2087cb595b48446dadda8cae75dad6ef1433b | [
"MIT"
] | null | null | null | import os
import re
import logging
import zipfile
logger = logging.getLogger(__name__)
def get_compiled_modules(project_trees_file):
with open(project_trees_file) as f:
try:
str_trees = split_trees([l.rstrip() for l in f.readlines()])
except:
logger.error... | 33.687898 | 156 | 0.560219 |
0527ccd6baf873620f163e0b3ed2a44bfa92eff6 | 1,812 | py | Python | ptsites/sites/hares.py | kbnq/flexget_qbittorrent_mod | e52d9726b80aab94cf3d9ee6c382b6721b757d3b | [
"MIT"
] | null | null | null | ptsites/sites/hares.py | kbnq/flexget_qbittorrent_mod | e52d9726b80aab94cf3d9ee6c382b6721b757d3b | [
"MIT"
] | null | null | null | ptsites/sites/hares.py | kbnq/flexget_qbittorrent_mod | e52d9726b80aab94cf3d9ee6c382b6721b757d3b | [
"MIT"
] | null | null | null | from ..schema.nexusphp import Attendance
from ..schema.site_base import Work, SignState
from ..utils.net_utils import NetUtils
| 29.225806 | 82 | 0.400662 |
05299930cfe175dfdd505fa507a88544ad0e95c1 | 716 | py | Python | tests/garage/sampler/test_rl2_worker.py | blacksph3re/garage | b4abe07f0fa9bac2cb70e4a3e315c2e7e5b08507 | [
"MIT"
] | 1,500 | 2018-06-11T20:36:24.000Z | 2022-03-31T08:29:01.000Z | tests/garage/sampler/test_rl2_worker.py | blacksph3re/garage | b4abe07f0fa9bac2cb70e4a3e315c2e7e5b08507 | [
"MIT"
] | 2,111 | 2018-06-11T04:10:29.000Z | 2022-03-26T14:41:32.000Z | tests/garage/sampler/test_rl2_worker.py | blacksph3re/garage | b4abe07f0fa9bac2cb70e4a3e315c2e7e5b08507 | [
"MIT"
] | 309 | 2018-07-24T11:18:48.000Z | 2022-03-30T16:19:48.000Z | from garage.envs import GymEnv
from garage.tf.algos.rl2 import RL2Worker
from tests.fixtures import TfGraphTestCase
from tests.fixtures.envs.dummy import DummyBoxEnv
from tests.fixtures.policies import DummyPolicy
| 32.545455 | 50 | 0.655028 |
052a76693b3fb6c307548d396e0accbc369737c8 | 660 | py | Python | dependencies/src/4Suite-XML-1.0.2/test/Xml/Xslt/Borrowed/uo_20001208.py | aleasims/Peach | bb56841e943d719d5101fee0a503ed34308eda04 | [
"MIT"
] | null | null | null | dependencies/src/4Suite-XML-1.0.2/test/Xml/Xslt/Borrowed/uo_20001208.py | aleasims/Peach | bb56841e943d719d5101fee0a503ed34308eda04 | [
"MIT"
] | null | null | null | dependencies/src/4Suite-XML-1.0.2/test/Xml/Xslt/Borrowed/uo_20001208.py | aleasims/Peach | bb56841e943d719d5101fee0a503ed34308eda04 | [
"MIT"
] | 1 | 2020-07-26T03:57:45.000Z | 2020-07-26T03:57:45.000Z | #Uche Ogbuji exercises format-number on Brad Marshall's behalf
from Xml.Xslt import test_harness
sheet_1 = """\
<xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform"
version="1.0">
<xsl:template match = "/">
<xsl:value-of select='format-number(10000000000.75 + 10000000000.50, "##.##"... | 24.444444 | 84 | 0.671212 |
052bebc9ce249268deadd50cd183873b6f1a799a | 2,697 | py | Python | tests/test_connection.py | daniel-herrero/fastapi-mailman | a174d0ec777d3330dc5464f71fafa7829db07bf1 | [
"MIT"
] | 6 | 2021-10-08T10:20:37.000Z | 2022-03-30T08:56:10.000Z | tests/test_connection.py | daniel-herrero/fastapi-mailman | a174d0ec777d3330dc5464f71fafa7829db07bf1 | [
"MIT"
] | 2 | 2021-11-11T11:44:29.000Z | 2022-03-08T06:54:54.000Z | tests/test_connection.py | daniel-herrero/fastapi-mailman | a174d0ec777d3330dc5464f71fafa7829db07bf1 | [
"MIT"
] | 1 | 2022-03-04T14:43:22.000Z | 2022-03-04T14:43:22.000Z | import typing as t
import pytest as pt
from fastapi_mailman import BadHeaderError, EmailMessage
if t.TYPE_CHECKING:
from fastapi_mailman import Mail
| 28.389474 | 102 | 0.629218 |