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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
670452b80f4a4923b00927b3d39770582eb6ad21 | 908 | py | Python | py/get_balance.py | parinya-ekparinya/ethereump-testbed-setup | 06fa2a95b6cfb076ac05c71b128ec91150a3fafa | [
"Apache-2.0"
] | null | null | null | py/get_balance.py | parinya-ekparinya/ethereump-testbed-setup | 06fa2a95b6cfb076ac05c71b128ec91150a3fafa | [
"Apache-2.0"
] | null | null | null | py/get_balance.py | parinya-ekparinya/ethereump-testbed-setup | 06fa2a95b6cfb076ac05c71b128ec91150a3fafa | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
import argparse
from ethjsonrpc import EthJsonRpc
ETH_PORT = 8545
def parseRpcAddr(rpcaddr):
if rpcaddr.find(":") != -1:
s = rpcaddr.split(":")
netaddr = s[0]
port = int(s[1])
else:
netaddr = rpcaddr
port = ETH_PORT
return (netaddr, port)
if __na... | 25.942857 | 100 | 0.637665 |
c540cde3cfe856afc6dcc6e35952cde06bf1eb1a | 1,902 | py | Python | lib/common.py | HumanCellAtlas/metadata-migration | a6127195be420f55a3b5321cc68434fc55ed0487 | [
"MIT"
] | null | null | null | lib/common.py | HumanCellAtlas/metadata-migration | a6127195be420f55a3b5321cc68434fc55ed0487 | [
"MIT"
] | null | null | null | lib/common.py | HumanCellAtlas/metadata-migration | a6127195be420f55a3b5321cc68434fc55ed0487 | [
"MIT"
] | null | null | null | from enum import Enum
class MigrationDirection(Enum):
DOWNGRADE = 1
UPGRADE = 2
class Strategy(Enum):
EXACT = 1
BEST_EFFORT = 2
class SchemaRef:
def __init__(self, url_string):
self.url_string = url_string
self.base_url, self.high_level_entity, self.domain_entity, self.version... | 27.171429 | 120 | 0.639853 |
0c73d4a2f8a1d01a1879c3a39b489540703b7bfe | 7,899 | py | Python | backend/mobileapp_33158/settings.py | crowdbotics-apps/mobileapp-33158 | bd10747bb3f5545f2d5283a8ff0aac348471621d | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | backend/mobileapp_33158/settings.py | crowdbotics-apps/mobileapp-33158 | bd10747bb3f5545f2d5283a8ff0aac348471621d | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | backend/mobileapp_33158/settings.py | crowdbotics-apps/mobileapp-33158 | bd10747bb3f5545f2d5283a8ff0aac348471621d | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | """
Django settings for mobileapp_33158 project.
Generated by 'django-admin startproject' using Django 2.2.2.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.2/ref/settings/
"""
impo... | 30.380769 | 112 | 0.736802 |
0b7d7ccae6416758d9a75177fddffa57c9d9de2d | 1,103 | py | Python | temp/demo.py | Rabmelon/tiSPHi | 8ffb0e505edd01cb31cb049bfe54f1f2b99cf121 | [
"MIT"
] | 5 | 2022-01-03T12:14:34.000Z | 2022-02-11T01:22:52.000Z | temp/demo.py | Rabmelon/taichiCourse01_tiSPHi | 8ffb0e505edd01cb31cb049bfe54f1f2b99cf121 | [
"MIT"
] | null | null | null | temp/demo.py | Rabmelon/taichiCourse01_tiSPHi | 8ffb0e505edd01cb31cb049bfe54f1f2b99cf121 | [
"MIT"
] | null | null | null | import taichi as ti
import numpy as np
from particle_system import *
from wcsph import *
# ti.init(arch=ti.cpu)
# Use GPU for higher peformance if available
ti.init(arch=ti.gpu, device_memory_GB=3, packed=True)
if __name__ == "__main__":
ps = ParticleSystem((512, 512))
ps.add_cube(lower_corner=[6, 2],
... | 29.026316 | 79 | 0.558477 |
9285cc3aec32c764f0a2c1f0c4c324ee9522c8bd | 990 | py | Python | string_module/String_Concatenation.py | kenwaldek/python | e6aaf5616a456a4fb91889c0617bd6511f1a223e | [
"MIT"
] | 1 | 2019-02-24T09:57:16.000Z | 2019-02-24T09:57:16.000Z | string_module/String_Concatenation.py | kenwaldek/python | e6aaf5616a456a4fb91889c0617bd6511f1a223e | [
"MIT"
] | null | null | null | string_module/String_Concatenation.py | kenwaldek/python | e6aaf5616a456a4fb91889c0617bd6511f1a223e | [
"MIT"
] | 4 | 2017-05-21T15:34:53.000Z | 2018-09-25T06:56:15.000Z | #! /usr/bin/env python3
# -*- coding:utf-8 -*-
###############################################################
# © kenwaldek MIT-license
#
# Title: String Concatenation Version: 1.0
# Date: 27-12-16 Language: python3
# Description: String Concatenation s... | 25.384615 | 63 | 0.525253 |
53a3fa7c9df8d69bc6dca59e5791aa6f806dd678 | 22,102 | py | Python | beartype_test/a00_unit/data/data_pep563.py | jonathanmorley/beartype | 0d1207210220807d5c5848033d13657afa307983 | [
"MIT"
] | null | null | null | beartype_test/a00_unit/data/data_pep563.py | jonathanmorley/beartype | 0d1207210220807d5c5848033d13657afa307983 | [
"MIT"
] | null | null | null | beartype_test/a00_unit/data/data_pep563.py | jonathanmorley/beartype | 0d1207210220807d5c5848033d13657afa307983 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# --------------------( LICENSE )--------------------
# Copyright (c) 2014-2021 Beartype authors.
# See "LICENSE" for further details.
'''
**Beartype** `PEP 563`_ **data submodule.**
This submodule exercises `PEP 563`_ support implemented in the
:func:`beartype.beartyp... | 55.117207 | 447 | 0.698489 |
b93eea6fa5488e08859ab30a90293846ab6e100a | 1,318 | py | Python | neslter/qaqc/utils.py | WHOIGit/nes-lter-ims | d4cc96c10da56ca33286af84d669625b67170522 | [
"MIT"
] | 3 | 2019-01-24T16:32:50.000Z | 2021-11-05T02:18:12.000Z | neslter/qaqc/utils.py | WHOIGit/nes-lter-ims | d4cc96c10da56ca33286af84d669625b67170522 | [
"MIT"
] | 45 | 2019-05-23T15:15:32.000Z | 2022-03-15T14:09:20.000Z | neslter/qaqc/utils.py | WHOIGit/nes-lter-ims | d4cc96c10da56ca33286af84d669625b67170522 | [
"MIT"
] | null | null | null | import numexpr
def evaluate_expression(df, expression, col_map={}):
"""evaluates a numexpr expression using variables named after
columns in the dataframe. you can use variable names that differ
from the column names by specifying the mapping in col_map. For example
df = pd.DataFrame({
'foobar'... | 36.611111 | 75 | 0.672231 |
64cead63d8e7786cf097e11c5b4231dc1dbccaa9 | 6,363 | py | Python | scraper/scraper.py | Copper-Head/revacom-time-tracking | da9c579950702fc9b97075397cd542f82baaa144 | [
"MIT"
] | null | null | null | scraper/scraper.py | Copper-Head/revacom-time-tracking | da9c579950702fc9b97075397cd542f82baaa144 | [
"MIT"
] | null | null | null | scraper/scraper.py | Copper-Head/revacom-time-tracking | da9c579950702fc9b97075397cd542f82baaa144 | [
"MIT"
] | null | null | null | """Provides code to scrape tt.revacom.com and process results into a CSV file."""
import csv
import logging
from datetime import date, datetime
import os
import json
from calendar import Calendar
from collections import namedtuple
from itertools import chain, takewhile
from functools import partial
import requests
fro... | 31.815 | 100 | 0.661952 |
3c25be59cae747a922fb200c4195c91e32d81ef0 | 1,149 | py | Python | vmapper/utils/process_points.py | wcchin/mappy | 38015bfc58d39552939d36e0e7eaa696ddbb2c5c | [
"MIT"
] | 2 | 2017-06-10T13:19:58.000Z | 2017-06-25T18:09:04.000Z | vmapper/utils/process_points.py | wcchin/vmapper | 38015bfc58d39552939d36e0e7eaa696ddbb2c5c | [
"MIT"
] | null | null | null | vmapper/utils/process_points.py | wcchin/vmapper | 38015bfc58d39552939d36e0e7eaa696ddbb2c5c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from Layer import Layer
from vmapper import geometry as geom
def process_points(layername, geoms, indexes, radius=2., labels=None, colors=None, opacitys=None, edgecolors=None, edgewidths=None, radiuses=None, showlabel=False, animate_times=None):
alayer = Layer(layername=layername)
geom... | 38.3 | 207 | 0.617929 |
e4ad34c07ac0c8bda34996a9cdc75b9de0d1638b | 4,751 | py | Python | src/full_node/sync_blocks_processor.py | fakecoinbase/Chia-Networkslashchia-blockchain | 84e6a4da18fb0a790a870cbd516f13c9bc7f0716 | [
"Apache-2.0"
] | 1 | 2021-04-12T09:10:51.000Z | 2021-04-12T09:10:51.000Z | src/full_node/sync_blocks_processor.py | mariano54/chia-blockchain | c6241d2fa6fe415876d3b40376fb882276611fa7 | [
"Apache-2.0"
] | 1 | 2022-03-25T19:10:51.000Z | 2022-03-25T19:10:51.000Z | src/full_node/sync_blocks_processor.py | fakecoinbase/Chia-Networkslashchia-blockchain | 84e6a4da18fb0a790a870cbd516f13c9bc7f0716 | [
"Apache-2.0"
] | null | null | null | import asyncio
import concurrent
import logging
import time
from typing import Optional
from src.full_node.blockchain import Blockchain, ReceiveBlockResult
from src.full_node.sync_store import SyncStore
from src.types.full_block import FullBlock
from src.util.errors import ConsensusError
from src.util.ints import uint... | 37.706349 | 103 | 0.551463 |
38d519fb3c6efb73259191776f2a037a80d4ba68 | 11,002 | py | Python | tests/models/test_gpu.py | karlinjf/pytorch-lightning | 831842972f7e2d25ae3a376d5584748c3054f899 | [
"Apache-2.0"
] | 1 | 2020-05-07T15:15:40.000Z | 2020-05-07T15:15:40.000Z | tests/models/test_gpu.py | karlinjf/pytorch-lightning | 831842972f7e2d25ae3a376d5584748c3054f899 | [
"Apache-2.0"
] | null | null | null | tests/models/test_gpu.py | karlinjf/pytorch-lightning | 831842972f7e2d25ae3a376d5584748c3054f899 | [
"Apache-2.0"
] | null | null | null | import os
import pytest
import torch
import tests.base.utils as tutils
from pytorch_lightning import Trainer
from pytorch_lightning.callbacks import ModelCheckpoint
from pytorch_lightning.core import memory
from pytorch_lightning.trainer.distrib_parts import parse_gpu_ids, determine_root_gpu_device
from pytorch_light... | 35.605178 | 106 | 0.700145 |
2644e167efaf0d707a87b77344a5abd7429f50e4 | 2,654 | py | Python | network.py | ZaydH/trump_char_rnn | dbe47ccc239f7a694b2e6ad71f2b8b95a4dc0a9a | [
"BSD-3-Clause"
] | 3 | 2017-12-12T00:18:54.000Z | 2019-10-22T15:35:23.000Z | network.py | ZaydH/trump_char_rnn | dbe47ccc239f7a694b2e6ad71f2b8b95a4dc0a9a | [
"BSD-3-Clause"
] | null | null | null | network.py | ZaydH/trump_char_rnn | dbe47ccc239f7a694b2e6ad71f2b8b95a4dc0a9a | [
"BSD-3-Clause"
] | 2 | 2019-02-23T03:24:36.000Z | 2020-11-18T17:11:00.000Z | """
network.py
Construct RNN for character level text prediction
"""
import tensorflow as tf
import data_parser
from feed_forward import setup_feed_forward
from basic_config import Config
def construct():
"""
Trump Neural Network Constructor
Builds all layers of the neural network.
"""
# cre... | 31.595238 | 99 | 0.641296 |
4ec7e8978b75f80c74875bef4b2c295679883a3e | 539 | py | Python | main.py | johangenis/quiz-game-start | 54491057aa1cc54600bc2b43c06b1c475e84e196 | [
"MIT"
] | null | null | null | main.py | johangenis/quiz-game-start | 54491057aa1cc54600bc2b43c06b1c475e84e196 | [
"MIT"
] | null | null | null | main.py | johangenis/quiz-game-start | 54491057aa1cc54600bc2b43c06b1c475e84e196 | [
"MIT"
] | null | null | null | from question_model import Question
from data import question_data
from quiz_brain import QuizBrain
question_bank = []
for question in question_data:
question_text = question["question"]
question_answer = question["correct_answer"]
new_question = Question(question_text, question_answer)
question_bank.... | 26.95 | 67 | 0.779221 |
165e21a0c69dd5db5c9986f6428ebc153d003f33 | 976 | py | Python | mmo_module/text.py | alentoghostflame/StupidAlentoBot | c024bfb79a9ecb0d9fda5ddc4e361a0cb878baba | [
"MIT"
] | 1 | 2021-12-12T02:50:20.000Z | 2021-12-12T02:50:20.000Z | mmo_module/text.py | alentoghostflame/StupidAlentoBot | c024bfb79a9ecb0d9fda5ddc4e361a0cb878baba | [
"MIT"
] | 17 | 2020-02-07T23:40:36.000Z | 2020-12-22T16:38:44.000Z | mmo_module/text.py | alentoghostflame/StupidAlentoBot | c024bfb79a9ecb0d9fda5ddc4e361a0cb878baba | [
"MIT"
] | null | null | null | INVALID_COMMAND = "Invalid command given."
MMO_BRIEF = "User control panel for the MMO feature."
MMO_ENABLE_BRIEF = "Enables the user MMO features."
MMO_DISABLE_BRIEF = "Disables the user MMO features."
MMO_STATUS_BRIEF = "Shows the status of your character."
MMO_BATTLE_BRIEF = "Starts a 1v1 against an NPC around your... | 51.368421 | 81 | 0.797131 |
5cbecc37ac4ec2efb075c5dc86ccb5ddf8335bbf | 135 | py | Python | testdata/reexporter/reexporter/subpkg/__init__.py | sourcegraph/python-deps | a7f1b28cc53bfdc3c71f70d0c0f3ae759e68c6f3 | [
"BSD-2-Clause"
] | 1 | 2018-06-22T10:13:13.000Z | 2018-06-22T10:13:13.000Z | testdata/reexporter/reexporter/subpkg/__init__.py | sourcegraph/python-deps | a7f1b28cc53bfdc3c71f70d0c0f3ae759e68c6f3 | [
"BSD-2-Clause"
] | null | null | null | testdata/reexporter/reexporter/subpkg/__init__.py | sourcegraph/python-deps | a7f1b28cc53bfdc3c71f70d0c0f3ae759e68c6f3 | [
"BSD-2-Clause"
] | 4 | 2015-04-19T15:59:00.000Z | 2020-12-18T11:25:41.000Z | # Django
from reexporter.subpkg.foo import *
from reexporter.subpkg.foo import bar
from reexporter.subpkg.foo import (
baz, blah)
| 19.285714 | 37 | 0.762963 |
734c72f80cd541a6cf8a5cab6f0d81b56bda9fd4 | 7,612 | py | Python | dataactbroker/scripts/update_historical_duns.py | dael-victoria-reyes/data-act-broker-backend | f83c7cad29cac24d95f45a262710dc1564de7dc1 | [
"CC0-1.0"
] | 1 | 2019-06-22T21:53:16.000Z | 2019-06-22T21:53:16.000Z | dataactbroker/scripts/update_historical_duns.py | dael-victoria-reyes/data-act-broker-backend | f83c7cad29cac24d95f45a262710dc1564de7dc1 | [
"CC0-1.0"
] | null | null | null | dataactbroker/scripts/update_historical_duns.py | dael-victoria-reyes/data-act-broker-backend | f83c7cad29cac24d95f45a262710dc1564de7dc1 | [
"CC0-1.0"
] | null | null | null | import logging
import boto3
import os
import pandas as pd
import argparse
from datetime import datetime
from dataactcore.models.domainModels import DUNS
from dataactcore.utils.parentDuns import sam_config_is_valid
from dataactcore.utils.duns import load_duns_by_row
from dataactvalidator.scripts.loader_utils import cle... | 36.772947 | 119 | 0.666185 |
52d27eb99febe6db8e4a9019760a1d7cedd1f9e1 | 188 | py | Python | bot/exts/recruitment/talentpool/__init__.py | hugovk/bot | 46d3f877b569a8a6db8a50fbd80ff49c90ba04cf | [
"MIT",
"BSD-3-Clause"
] | 1,003 | 2018-11-17T21:10:01.000Z | 2022-03-31T22:50:39.000Z | bot/exts/recruitment/talentpool/__init__.py | hugovk/bot | 46d3f877b569a8a6db8a50fbd80ff49c90ba04cf | [
"MIT",
"BSD-3-Clause"
] | 1,474 | 2018-11-17T10:18:14.000Z | 2022-03-31T18:01:39.000Z | bot/exts/recruitment/talentpool/__init__.py | hugovk/bot | 46d3f877b569a8a6db8a50fbd80ff49c90ba04cf | [
"MIT",
"BSD-3-Clause"
] | 771 | 2018-11-21T08:36:07.000Z | 2022-03-31T14:56:39.000Z | from bot.bot import Bot
def setup(bot: Bot) -> None:
"""Load the TalentPool cog."""
from bot.exts.recruitment.talentpool._cog import TalentPool
bot.add_cog(TalentPool(bot))
| 20.888889 | 63 | 0.702128 |
8c90736827cccffb57a4c980969281a2dbc457be | 9,867 | py | Python | src/autofj/optimizer/autofj_multi_column_greedy_algorithm.py | chu-data-lab/AutomaticFuzzyJoin | 2e638b2dd17da41abf5ed71575cea94b1d175ccd | [
"MIT"
] | 16 | 2021-05-06T08:04:16.000Z | 2022-01-25T04:19:31.000Z | src/autofj/optimizer/autofj_multi_column_greedy_algorithm.py | chu-data-lab/AutomaticFuzzyJoin | 2e638b2dd17da41abf5ed71575cea94b1d175ccd | [
"MIT"
] | 1 | 2022-03-07T15:49:34.000Z | 2022-03-07T15:49:34.000Z | src/autofj/optimizer/autofj_multi_column_greedy_algorithm.py | chu-data-lab/AutomaticFuzzyJoin | 2e638b2dd17da41abf5ed71575cea94b1d175ccd | [
"MIT"
] | 5 | 2021-09-09T18:41:55.000Z | 2022-03-18T11:52:15.000Z | import pandas as pd
import numpy as np
from multiprocessing import Pool
from .autofj_single_column_greedy_algorithm import AutoFJGreedyAlgorithm
from ..utils import print_log
import os
class AutoFJMulticolGreedyAlgorithm(object):
"""Greedy algorithm for multi-column datasets. Select optimal columns and
column ... | 37.804598 | 86 | 0.585386 |
2ac575f8c4ce7cfdd0ee6888e3bd8d9c8bdeca3b | 5,681 | py | Python | features/steps/step_definitions.py | tedivm/dockerpty | f8d17d893c6758b7cc25825e99f6b02202632a97 | [
"Apache-2.0"
] | 129 | 2015-01-19T15:02:47.000Z | 2022-03-28T07:46:46.000Z | features/steps/step_definitions.py | tedivm/dockerpty | f8d17d893c6758b7cc25825e99f6b02202632a97 | [
"Apache-2.0"
] | 52 | 2015-01-01T11:22:23.000Z | 2021-03-29T14:11:10.000Z | features/steps/step_definitions.py | tedivm/dockerpty | f8d17d893c6758b7cc25825e99f6b02202632a97 | [
"Apache-2.0"
] | 71 | 2015-02-07T16:25:27.000Z | 2022-02-06T02:34:18.000Z | # dockerpty: step_definitions.py
#
# Copyright 2014 Chris Corbyn <chris@w3style.co.uk>
#
# 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
#
# U... | 26.179724 | 89 | 0.640204 |
df69c5f522755503f7878d7a300e7d9dc8abdb7a | 3,567 | py | Python | ml/rl/test/gridworld/gridworld_test_base.py | johncliu/Horizon | cfa7a873ada5de3bb01e78e2f237d9849b8270b2 | [
"BSD-3-Clause"
] | null | null | null | ml/rl/test/gridworld/gridworld_test_base.py | johncliu/Horizon | cfa7a873ada5de3bb01e78e2f237d9849b8270b2 | [
"BSD-3-Clause"
] | 1 | 2021-08-25T16:13:32.000Z | 2021-08-25T16:13:32.000Z | ml/rl/test/gridworld/gridworld_test_base.py | johncliu/Horizon | cfa7a873ada5de3bb01e78e2f237d9849b8270b2 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
import os
import tempfile
import unittest
from ml.rl.tensorboardX import SummaryWriterContext
from ml.rl.test.gridworld.gridworld_base import DISCOUNT
from ml.rl.training.ddpg_trainer import DDPGTrainer
class GridworldTestBase(unittest.TestCase):
def setUp(self):
self.check_tolera... | 35.67 | 85 | 0.578357 |
77fe8849fb693f820f3273d8590e89cdce04559b | 173 | py | Python | chaosopenstack/types.py | chaostoolkit-incubator/chaostoolkit-openstack | dfba900a436860009b849535136147fa9bd529c6 | [
"Apache-2.0"
] | 1 | 2019-06-11T16:55:04.000Z | 2019-06-11T16:55:04.000Z | chaosopenstack/types.py | chaostoolkit-incubator/chaostoolkit-openstack | dfba900a436860009b849535136147fa9bd529c6 | [
"Apache-2.0"
] | 3 | 2019-04-10T07:24:42.000Z | 2021-12-02T10:57:24.000Z | chaosopenstack/types.py | chaostoolkit-incubator/chaostoolkit-openstack | dfba900a436860009b849535136147fa9bd529c6 | [
"Apache-2.0"
] | 5 | 2019-04-10T19:39:10.000Z | 2021-09-24T13:45:49.000Z | # -*- coding: utf-8 -*-
from typing import Any, Dict
__all__ = ["OpenstackResponse"]
# really dependent on the type of resource called
OpenstackResponse = Dict[str, Any]
| 19.222222 | 49 | 0.716763 |
b43881c39b9df8866c393aedb50c7efce6930ee1 | 4,560 | py | Python | homeassistant/components/decora/light.py | davyike/core | 13cc7583ed5c7de43c56b43db8fdc9879a853666 | [
"Apache-2.0"
] | 3 | 2019-10-02T04:40:26.000Z | 2020-02-16T13:19:08.000Z | homeassistant/components/decora/light.py | davyike/core | 13cc7583ed5c7de43c56b43db8fdc9879a853666 | [
"Apache-2.0"
] | 9 | 2022-01-13T13:43:25.000Z | 2022-03-31T07:18:48.000Z | homeassistant/components/decora/light.py | davyike/core | 13cc7583ed5c7de43c56b43db8fdc9879a853666 | [
"Apache-2.0"
] | null | null | null | """Support for Decora dimmers."""
from __future__ import annotations
import copy
from functools import wraps
import logging
import time
from bluepy.btle import BTLEException # pylint: disable=import-error
import decora # pylint: disable=import-error
import voluptuous as vol
from homeassistant import util
from home... | 27.804878 | 80 | 0.643421 |
fe702e0a1d859795f2fb75d8464d1f9765bf133d | 10,397 | py | Python | nappy/nn/analyze.py | ryokbys/nap | ddd0b5a5a956f7c335a22adb4f8e00f1d38a7804 | [
"MIT"
] | 27 | 2015-10-05T06:21:28.000Z | 2021-10-04T17:08:23.000Z | nappy/nn/analyze.py | ryokbys/nap | ddd0b5a5a956f7c335a22adb4f8e00f1d38a7804 | [
"MIT"
] | 4 | 2020-11-08T12:39:38.000Z | 2021-01-10T22:31:36.000Z | nappy/nn/analyze.py | ryokbys/nap | ddd0b5a5a956f7c335a22adb4f8e00f1d38a7804 | [
"MIT"
] | 4 | 2015-01-29T23:10:34.000Z | 2022-01-08T05:20:13.000Z | #!/bin/env python
"""
Analyze NN potential with drawing NN structure graph.
Usage:
analyze.py [options]
analyze.py draw [options]
Options:
-h,--help Show this message and exit.
-w Show weight values. [default: False]
-t THRESHOLD
Threshold value multiplied to max edge for omitting crit... | 33.53871 | 104 | 0.519958 |
6c4adcaf4598034a9670bacf6bf97b68dd0b3ce4 | 1,088 | py | Python | content_notes/migrations/0001_initial.py | OpenCanada/website | 6334ff412addc0562ac247080194e5d182e8e924 | [
"MIT"
] | 10 | 2015-12-18T16:41:33.000Z | 2018-11-11T08:36:46.000Z | content_notes/migrations/0001_initial.py | OpenCanada/website | 6334ff412addc0562ac247080194e5d182e8e924 | [
"MIT"
] | 96 | 2015-07-14T22:45:56.000Z | 2017-07-25T19:59:48.000Z | content_notes/migrations/0001_initial.py | OpenCanada/website | 6334ff412addc0562ac247080194e5d182e8e924 | [
"MIT"
] | 9 | 2015-07-28T14:38:43.000Z | 2019-01-04T17:38:42.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import django.db.models.deletion
import modelcluster.fields
import wagtail.core.fields
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('articles', '0062_auto_20150930_1633'),
]
oper... | 34 | 175 | 0.608456 |
b1346021c0f86a80d43581defe03917845d51d0e | 49,529 | py | Python | haruka/modules/translations/Indonesian.py | jarvisbotsavage/groupmanaging | a420cc556347ab947d28d0d736b8aa72680949ff | [
"MIT"
] | null | null | null | haruka/modules/translations/Indonesian.py | jarvisbotsavage/groupmanaging | a420cc556347ab947d28d0d736b8aa72680949ff | [
"MIT"
] | null | null | null | haruka/modules/translations/Indonesian.py | jarvisbotsavage/groupmanaging | a420cc556347ab947d28d0d736b8aa72680949ff | [
"MIT"
] | null | null | null | RUN_STRINGS = (
"Kau pikir mau kemana dirimu?",
"Ya? apa? apakah mereka bisa lolos?",
"ZZzzZZzz... Hah? Apa? oh, ternyata mereka lagi, jangan dipikirkan.",
"Kembali ke sini!",
"Tidak begitu cepat...",
"Perhatikan kalau ada dinding!",
"Jangan tinggalkan aku sendirian dengan mereka!!",
"Ka... | 57.25896 | 318 | 0.71657 |
a3ef930b8006160f9dfad2785ba4fce5e91a89c3 | 397 | py | Python | superlists/superlists/wsgi.py | ology/TDD-with-Python | 6aa89edbc5c69ee22d32f317f853aaa53888aa74 | [
"Artistic-2.0"
] | null | null | null | superlists/superlists/wsgi.py | ology/TDD-with-Python | 6aa89edbc5c69ee22d32f317f853aaa53888aa74 | [
"Artistic-2.0"
] | 9 | 2019-12-04T22:54:17.000Z | 2022-02-10T08:45:16.000Z | superlists/superlists/wsgi.py | ology/TDD-with-Python | 6aa89edbc5c69ee22d32f317f853aaa53888aa74 | [
"Artistic-2.0"
] | 1 | 2020-01-20T12:44:56.000Z | 2020-01-20T12:44:56.000Z | """
WSGI config for superlists project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_SE... | 23.352941 | 78 | 0.788413 |
cc583cbb377b85996bbde0b56f9eef1b4b8a02fb | 3,933 | py | Python | tests/test_runner/test_debug_sql.py | devops2014/djangosite | db77915c9fd35a203edd8206f702ee4082f04d4a | [
"BSD-3-Clause"
] | null | null | null | tests/test_runner/test_debug_sql.py | devops2014/djangosite | db77915c9fd35a203edd8206f702ee4082f04d4a | [
"BSD-3-Clause"
] | null | null | null | tests/test_runner/test_debug_sql.py | devops2014/djangosite | db77915c9fd35a203edd8206f702ee4082f04d4a | [
"BSD-3-Clause"
] | null | null | null | import sys
import unittest
from django.db import connection
from django.test import TestCase
from django.test.runner import DiscoverRunner
from django.utils import six
from .models import Person
@unittest.skipUnless(connection.vendor == 'sqlite', 'Only run on sqlite so we can check output SQL.')
class TestDebugSQL(... | 36.757009 | 101 | 0.555301 |
b9e61fed79c2b4789dec613681d922f49fc7878a | 559 | py | Python | WebMirror/management/rss_parser_funcs/feed_parse_extractTwomorefreethoughtsCom.py | fake-name/ReadableWebProxy | ed5c7abe38706acc2684a1e6cd80242a03c5f010 | [
"BSD-3-Clause"
] | 193 | 2016-08-02T22:04:35.000Z | 2022-03-09T20:45:41.000Z | WebMirror/management/rss_parser_funcs/feed_parse_extractTwomorefreethoughtsCom.py | fake-name/ReadableWebProxy | ed5c7abe38706acc2684a1e6cd80242a03c5f010 | [
"BSD-3-Clause"
] | 533 | 2016-08-23T20:48:23.000Z | 2022-03-28T15:55:13.000Z | WebMirror/management/rss_parser_funcs/feed_parse_extractTwomorefreethoughtsCom.py | rrosajp/ReadableWebProxy | ed5c7abe38706acc2684a1e6cd80242a03c5f010 | [
"BSD-3-Clause"
] | 19 | 2015-08-13T18:01:08.000Z | 2021-07-12T17:13:09.000Z |
def extractTwomorefreethoughtsCom(item):
'''
Parser for 'twomorefreethoughts.com'
'''
vol, chp, frag, postfix = extractVolChapterFragmentPostfix(item['title'])
if not (chp or vol) or "preview" in item['title'].lower():
return None
tagmap = [
('PRC', 'PRC', 'translated'),
('Loit... | 25.409091 | 104 | 0.640429 |
9b6811b3fa1c9eb467eba2c3dc1262f847dff4c0 | 4,469 | py | Python | venv/lib/python3.6/site-packages/ansible_collections/community/general/plugins/modules/notification/jabber.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | 22 | 2021-07-16T08:11:22.000Z | 2022-03-31T07:15:34.000Z | venv/lib/python3.6/site-packages/ansible_collections/community/general/plugins/modules/notification/jabber.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | 12 | 2020-02-21T07:24:52.000Z | 2020-04-14T09:54:32.000Z | venv/lib/python3.6/site-packages/ansible_collections/community/general/plugins/modules/notification/jabber.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | 39 | 2021-07-05T02:31:42.000Z | 2022-03-31T02:46:03.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
#
# (c) 2015, Brian Coca <bcoca@ansible.com>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
DOCUMENTATION = '''
---
module: jabber
short_descri... | 26.760479 | 103 | 0.640412 |
d51eea49ca0c35aa4c3047acc5c2fee3678ffd13 | 487 | py | Python | bootstrap.py | kerr-huang/blade | a98f35a8bbed13a14213c7c696485b742a13e7aa | [
"BSD-3-Clause"
] | 2 | 2021-06-29T13:42:22.000Z | 2021-09-06T10:57:34.000Z | bootstrap.py | kerr-huang/blade | a98f35a8bbed13a14213c7c696485b742a13e7aa | [
"BSD-3-Clause"
] | null | null | null | bootstrap.py | kerr-huang/blade | a98f35a8bbed13a14213c7c696485b742a13e7aa | [
"BSD-3-Clause"
] | 5 | 2021-06-29T13:42:26.000Z | 2022-02-08T02:41:34.000Z | # Copyright (c) 2013 Tencent Inc.
# All rights reserved.
# Author: Feng Chen <phongchen@tencent.com>
"""This is the entry point to load and run blade package.
"""
import sys
import os.path
# Load package from blade.zip or source dir?
# blade_path = os.path.abspath(os.path.join(os.path.dirname(__file__), 'blade.zip... | 22.136364 | 84 | 0.73922 |
b87900311a39d33afcad5ce2a4cdc31e7dd31de7 | 507 | py | Python | tests/igniter/test_tools.py | simonebarbieri/pype | a6dc83aa1300738749cbe8e5e2e6d2d1794e0289 | [
"MIT"
] | null | null | null | tests/igniter/test_tools.py | simonebarbieri/pype | a6dc83aa1300738749cbe8e5e2e6d2d1794e0289 | [
"MIT"
] | null | null | null | tests/igniter/test_tools.py | simonebarbieri/pype | a6dc83aa1300738749cbe8e5e2e6d2d1794e0289 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from uuid import uuid4
from igniter.tools import validate_path_string
def test_validate_path_string(tmp_path):
# test path
status1, _ = validate_path_string(tmp_path.as_posix())
assert status1 is True
status2, _ = validate_path_string("booo" + str(uuid4()))
assert status2 i... | 29.823529 | 60 | 0.717949 |
81b787864490af536ec740d3132cbe24b8e17cae | 7,528 | py | Python | main.py | arodriguez23434/arodriguez_2016_matcutter | 06226b0bc15260a3e7aebdb731cd1b70e25e0261 | [
"Unlicense"
] | null | null | null | main.py | arodriguez23434/arodriguez_2016_matcutter | 06226b0bc15260a3e7aebdb731cd1b70e25e0261 | [
"Unlicense"
] | null | null | null | main.py | arodriguez23434/arodriguez_2016_matcutter | 06226b0bc15260a3e7aebdb731cd1b70e25e0261 | [
"Unlicense"
] | null | null | null | #!/usr/bin/python
import math
#Initialize list of occupied slices and recieve user input for material specifications
ocp_list=list()
print("---Sheet Material Slicer and Cost Calculator---")
ocp_xmat=float(input("What is the length of the material sheet? "));
ocp_ymat=float(input("What is the width of the material she... | 54.158273 | 178 | 0.713204 |
29c2f172eefd6f4563398207d79b147c0f3f4181 | 18,261 | py | Python | deepdoctection/dataflow/custom_serialize.py | deepdoctection/deepdoctection | 7e0d7396e5ef8bf8109904e09c5d4ee56cb5a036 | [
"Apache-2.0"
] | 39 | 2021-12-14T11:05:25.000Z | 2022-03-31T18:50:58.000Z | deepdoctection/dataflow/custom_serialize.py | deepdoctection/deepdoctection | 7e0d7396e5ef8bf8109904e09c5d4ee56cb5a036 | [
"Apache-2.0"
] | 17 | 2022-01-04T14:32:26.000Z | 2022-03-29T14:01:36.000Z | deepdoctection/dataflow/custom_serialize.py | deepdoctection/deepdoctection | 7e0d7396e5ef8bf8109904e09c5d4ee56cb5a036 | [
"Apache-2.0"
] | 4 | 2022-01-11T16:40:17.000Z | 2022-03-30T02:09:55.000Z | # -*- coding: utf-8 -*-
# File: custom_serialize.py
# Copyright 2021 Dr. Janis Meyer. 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/licen... | 36.376494 | 120 | 0.606758 |
e4bd45795ace0530d55af6d5aa40c79351a51967 | 9,872 | py | Python | train_naive.py | simonwey/DecoupleNet | 3e9e09d512230cb0d95e9db98c5838ca9ff799da | [
"Apache-2.0"
] | null | null | null | train_naive.py | simonwey/DecoupleNet | 3e9e09d512230cb0d95e9db98c5838ca9ff799da | [
"Apache-2.0"
] | null | null | null | train_naive.py | simonwey/DecoupleNet | 3e9e09d512230cb0d95e9db98c5838ca9ff799da | [
"Apache-2.0"
] | null | null | null | # ------------------------------------------------------------------------------
# Copyright (c) Microsoft
# Licensed under the MIT License.
# Written by Bin Xiao (Bin.Xiao@microsoft.com)
# ------------------------------------------------------------------------------
from __future__ import absolute_import
from __futu... | 35.007092 | 109 | 0.5859 |
354651db8dad6e93e0eea22256455bb4105e04fa | 1,321 | py | Python | sunbear/version.py | OxfordHED/sunbear | 9c7f368c4086f69868e7e5d87ea0b40700610e19 | [
"BSD-3-Clause"
] | null | null | null | sunbear/version.py | OxfordHED/sunbear | 9c7f368c4086f69868e7e5d87ea0b40700610e19 | [
"BSD-3-Clause"
] | null | null | null | sunbear/version.py | OxfordHED/sunbear | 9c7f368c4086f69868e7e5d87ea0b40700610e19 | [
"BSD-3-Clause"
] | 1 | 2020-08-11T12:40:57.000Z | 2020-08-11T12:40:57.000Z | import os
import subprocess as sp
MAJOR = 0
MINOR = 1
MICRO = 0
ISRELEASED = True
VERSION = '%d.%d.%d' % (MAJOR, MINOR, MICRO)
# Return the git revision as a string
# taken from numpy/numpy
def git_version():
def _minimal_ext_cmd(cmd):
# construct minimal environment
env = {}
for k in ['S... | 22.775862 | 69 | 0.583649 |
2dce69d7c75b6029b5863c97e83f1509d2ca1da8 | 2,815 | py | Python | pyccolo/emit_event.py | smacke/pyccolo | 58a6ea2b57143fcba37d1f52f7fa4d29c712f336 | [
"BSD-3-Clause"
] | 65 | 2022-01-20T09:37:06.000Z | 2022-03-08T23:56:36.000Z | pyccolo/emit_event.py | smacke/pyccolo | 58a6ea2b57143fcba37d1f52f7fa4d29c712f336 | [
"BSD-3-Clause"
] | null | null | null | pyccolo/emit_event.py | smacke/pyccolo | 58a6ea2b57143fcba37d1f52f7fa4d29c712f336 | [
"BSD-3-Clause"
] | 3 | 2022-01-21T18:16:31.000Z | 2022-01-27T09:19:18.000Z | # -*- coding: utf-8 -*-
import logging
import sys
from contextlib import contextmanager
from typing import TYPE_CHECKING, List
from pyccolo.trace_events import BEFORE_EXPR_EVENTS
if TYPE_CHECKING:
from pyccolo.tracer import BaseTracer
logger = logging.getLogger(__name__)
_BEFORE_EXPR_EVENT_NAMES = {evt.value ... | 29.322917 | 85 | 0.71119 |
5aeafeb48fc5022b542b81873dc89f8e309bf017 | 1,850 | py | Python | chiadoge/types/unfinished_block.py | Jsewill/chiadogecoin | 55511228301a0b4d00c8f4da270be8b434777470 | [
"Apache-2.0"
] | 2 | 2021-07-05T14:34:35.000Z | 2022-01-01T21:27:52.000Z | chiadoge/types/unfinished_block.py | Jsewill/chiadogecoin | 55511228301a0b4d00c8f4da270be8b434777470 | [
"Apache-2.0"
] | null | null | null | chiadoge/types/unfinished_block.py | Jsewill/chiadogecoin | 55511228301a0b4d00c8f4da270be8b434777470 | [
"Apache-2.0"
] | 1 | 2021-07-07T11:08:36.000Z | 2021-07-07T11:08:36.000Z | from dataclasses import dataclass
from typing import List, Optional
from chiadoge.types.blockchain_format.foliage import Foliage, FoliageTransactionBlock, TransactionsInfo
from chiadoge.types.blockchain_format.program import SerializedProgram
from chiadoge.types.blockchain_format.reward_chain_block import RewardChainB... | 43.023256 | 104 | 0.794595 |
b559557340b9855ba7a637f101f096f514aa5d3a | 6,811 | py | Python | var/spack/repos/builtin/packages/geant4/package.py | wjge/spack | 6d9f0262de6269b895673315a1c36c4f6888419e | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | null | null | null | var/spack/repos/builtin/packages/geant4/package.py | wjge/spack | 6d9f0262de6269b895673315a1c36c4f6888419e | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 1 | 2020-10-19T02:33:37.000Z | 2020-10-19T02:33:37.000Z | var/spack/repos/builtin/packages/geant4/package.py | wjge/spack | 6d9f0262de6269b895673315a1c36c4f6888419e | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | null | null | null | # Copyright 2013-2020 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class Geant4(CMakePackage):
"""Geant4 is a toolkit for the simulation of the passage of particle... | 42.836478 | 96 | 0.622669 |
7ae1a6b08699d0aa6216ad0a92817646a2528bca | 21,112 | py | Python | awkward/generate.py | nsmith-/awkward-array | 5ee75c2b59049a714e8c7bf3ac2bc0414268abff | [
"BSD-3-Clause"
] | null | null | null | awkward/generate.py | nsmith-/awkward-array | 5ee75c2b59049a714e8c7bf3ac2bc0414268abff | [
"BSD-3-Clause"
] | null | null | null | awkward/generate.py | nsmith-/awkward-array | 5ee75c2b59049a714e8c7bf3ac2bc0414268abff | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# Copyright (c) 2018, DIANA-HEP
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
# list ... | 43.440329 | 167 | 0.558924 |
3e90c107a4c854a890a3424a0a8e1507adfd48a0 | 12,375 | py | Python | tests/selpolltest.py | karpierz/libpcap | 6432ae6dd9cddcf0d160de927ca33231a1e2a3d0 | [
"BSD-3-Clause"
] | 42 | 2018-01-28T03:43:02.000Z | 2022-03-03T09:19:13.000Z | tests/selpolltest.py | karpierz/libpcap | 6432ae6dd9cddcf0d160de927ca33231a1e2a3d0 | [
"BSD-3-Clause"
] | 9 | 2019-05-01T09:55:04.000Z | 2021-11-10T23:26:57.000Z | tests/selpolltest.py | karpierz/libpcap | 6432ae6dd9cddcf0d160de927ca33231a1e2a3d0 | [
"BSD-3-Clause"
] | 12 | 2019-07-31T18:55:03.000Z | 2022-02-01T22:25:25.000Z | #!/usr/bin/env python
# Copyright (c) 2016-2021, Adam Karpierz
# Licensed under the BSD license
# https://opensource.org/licenses/BSD-3-Clause
# Copyright (c) 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 2000
# The Regents of the University of California. All rights reserved.
#
# Redistribution and u... | 38.793103 | 80 | 0.540768 |
e637ba86f2b6e720a1e9258d531a882c8a147745 | 78 | py | Python | PROJECT_0000/faceLib/faceDetectRetinaFace.py | blitzkrieg0000/BioFace | ff45e3608ad08ab41ef93f4e962c85dafb00709b | [
"MIT"
] | 1 | 2021-07-27T18:31:38.000Z | 2021-07-27T18:31:38.000Z | PROJECT_0000/faceLib/faceDetectRetinaFace.py | blitzkrieg0000/BioFace | ff45e3608ad08ab41ef93f4e962c85dafb00709b | [
"MIT"
] | null | null | null | PROJECT_0000/faceLib/faceDetectRetinaFace.py | blitzkrieg0000/BioFace | ff45e3608ad08ab41ef93f4e962c85dafb00709b | [
"MIT"
] | null | null | null | #TensorFlow ile bazı paketler çakıştığı için orijinal "retinaface" yüklenmedi. | 78 | 78 | 0.846154 |
50b6b34e2f1d32b0d2f7f67c081b46f49da63bc2 | 367 | py | Python | lambda_package/localcontext.py | TriNimbus/lambda-package-template | 7291437fb11716b518d7046fff0ae8bfd192ee19 | [
"MIT"
] | 2 | 2016-11-22T18:55:08.000Z | 2019-12-15T02:28:02.000Z | lambda_package/localcontext.py | TriNimbus/lambda-package-template | 7291437fb11716b518d7046fff0ae8bfd192ee19 | [
"MIT"
] | null | null | null | lambda_package/localcontext.py | TriNimbus/lambda-package-template | 7291437fb11716b518d7046fff0ae8bfd192ee19 | [
"MIT"
] | 1 | 2018-07-30T13:36:59.000Z | 2018-07-30T13:36:59.000Z | from lambda_package.utility import Utility
class LocalContext(object):
"""A class to simulate the Lambda context locally."""
@property
def invoked_function_arn(self):
"""Simulate the Lambda ARN that comes into the context object. """
return 'arn:aws:lambda:us-east-1:{0}:function:func-name'... | 33.363636 | 74 | 0.689373 |
f15cd34caf738fcab122211c8d928283a6937de9 | 7,121 | py | Python | LeetCode-All-Solution/Python3/LC-0279-Perfect-Squares.py | YuweiYin/Algorithm_YuweiYin | 28648fac59c5a4e3c907978cbd1b3e662ba18fd5 | [
"MIT"
] | null | null | null | LeetCode-All-Solution/Python3/LC-0279-Perfect-Squares.py | YuweiYin/Algorithm_YuweiYin | 28648fac59c5a4e3c907978cbd1b3e662ba18fd5 | [
"MIT"
] | null | null | null | LeetCode-All-Solution/Python3/LC-0279-Perfect-Squares.py | YuweiYin/Algorithm_YuweiYin | 28648fac59c5a4e3c907978cbd1b3e662ba18fd5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
"""=================================================================
@Project : Algorithm_YuweiYin/LeetCode-All-Solution/Python3
@File : LC-0279-Perfect-Squares.py
@Author : [YuweiYin](https://github.com/YuweiYin)
@Date : 2022-02-24
===================================... | 35.078818 | 117 | 0.552731 |
5de999683a8b34259af15f4160c3b3823d3cd59c | 5,062 | py | Python | examples/to_test_classification.py | Jetafull/pytorch_tabular | 9f65cb2c4b9dd3aaee209d8db1e4b5238eddfeb5 | [
"MIT"
] | null | null | null | examples/to_test_classification.py | Jetafull/pytorch_tabular | 9f65cb2c4b9dd3aaee209d8db1e4b5238eddfeb5 | [
"MIT"
] | null | null | null | examples/to_test_classification.py | Jetafull/pytorch_tabular | 9f65cb2c4b9dd3aaee209d8db1e4b5238eddfeb5 | [
"MIT"
] | null | null | null | from pathlib import Path
import numpy as np
import pandas as pd
import pytorch_lightning as pl
import torch
from omegaconf import OmegaConf
from sklearn.datasets import fetch_covtype
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import PowerTransformer
from torch.functional import nor... | 26.642105 | 88 | 0.729554 |
00c07b9257f5f72927b9abb0e524db4233798688 | 4,277 | py | Python | code/word_selection.py | crypdick/knausj_talon | 1c38f8c8d7bbd44a3bedddcc36850461cb35e000 | [
"Unlicense"
] | null | null | null | code/word_selection.py | crypdick/knausj_talon | 1c38f8c8d7bbd44a3bedddcc36850461cb35e000 | [
"Unlicense"
] | null | null | null | code/word_selection.py | crypdick/knausj_talon | 1c38f8c8d7bbd44a3bedddcc36850461cb35e000 | [
"Unlicense"
] | null | null | null | import time
from talon import Context, Module, actions, clip
mod = Module()
@mod.action_class
class Actions:
def word_neck(index: int):
"""select the following word or the index'th word"""
word_neck(int(index))
def word_prev(index: int):
"""select the previous word or the index'th w... | 27.772727 | 82 | 0.630348 |
b75b46d4923be01fcb1bcddbc5314854a4ed6d81 | 1,388 | py | Python | integrations/airflow/tests/test_location.py | mobuchowski/marquez | a1964623e13e95ee98b93517f11cdf116a1d1184 | [
"Apache-2.0"
] | 1 | 2021-11-02T08:14:47.000Z | 2021-11-02T08:14:47.000Z | integrations/airflow/tests/test_location.py | mobuchowski/marquez | a1964623e13e95ee98b93517f11cdf116a1d1184 | [
"Apache-2.0"
] | 7 | 2021-05-06T15:16:13.000Z | 2022-03-01T23:10:43.000Z | integrations/airflow/tests/test_location.py | mobuchowski/marquez | a1964623e13e95ee98b93517f11cdf116a1d1184 | [
"Apache-2.0"
] | 1 | 2021-04-19T17:51:20.000Z | 2021-04-19T17:51:20.000Z | # 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 th... | 32.27907 | 74 | 0.748559 |
16580fe2c26e221d4b5c58ecef8b9708f337711a | 11,673 | py | Python | main.py | analyticFolk/detr | cd98687d683c670627dfa29424ca6e01de8767f4 | [
"Apache-2.0"
] | null | null | null | main.py | analyticFolk/detr | cd98687d683c670627dfa29424ca6e01de8767f4 | [
"Apache-2.0"
] | null | null | null | main.py | analyticFolk/detr | cd98687d683c670627dfa29424ca6e01de8767f4 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import argparse
import datetime
import json
import random
import time
from pathlib import Path
import numpy as np
import torch
from torch.utils.data import DataLoader, DistributedSampler
import datasets
import util.misc as utils
from datasets impo... | 46.321429 | 116 | 0.64405 |
375561d3679f61bb93569d8d824d034f6cb552df | 3,829 | py | Python | Face.py | Munthir-Shishani/face-check-in | ca6656e1d7860657bffddeac0c8a57267c419d6f | [
"BSD-3-Clause"
] | null | null | null | Face.py | Munthir-Shishani/face-check-in | ca6656e1d7860657bffddeac0c8a57267c419d6f | [
"BSD-3-Clause"
] | 1 | 2022-03-12T00:30:03.000Z | 2022-03-12T00:30:03.000Z | Face.py | Munthir-Shishani/face-check-in | ca6656e1d7860657bffddeac0c8a57267c419d6f | [
"BSD-3-Clause"
] | null | null | null | import asyncio
import io
import glob
import os
import sys
import time
import uuid
import requests
from datetime import datetime
import pytz
from urllib.parse import urlparse
from io import BytesIO
from PIL import Image, ImageDraw
from azure.cognitiveservices.vision.face import FaceClient
from msrest.authentication impo... | 35.453704 | 142 | 0.678506 |
bf0e43e62f14f116c7495b6c3368e06731f90117 | 326 | py | Python | cgnp_patchy/lib/moieties/MME.py | cjspindel/cgnp_patchy | 12d401c90795ecddb9c4ea0433dc26c4d31d80b6 | [
"MIT"
] | null | null | null | cgnp_patchy/lib/moieties/MME.py | cjspindel/cgnp_patchy | 12d401c90795ecddb9c4ea0433dc26c4d31d80b6 | [
"MIT"
] | null | null | null | cgnp_patchy/lib/moieties/MME.py | cjspindel/cgnp_patchy | 12d401c90795ecddb9c4ea0433dc26c4d31d80b6 | [
"MIT"
] | null | null | null | import mbuild as mb
import numpy as np
class MME(mb.Compound):
""" Coarse-grained alkane bead containing a CH2-CH2-CH3 group """
def __init__(self):
super(MME, self).__init__()
self.add(mb.Particle(name="_MME"))
self.add(mb.Port(anchor=self[0], orientation=[0, 1, 0], separation=0.15), '... | 29.636364 | 87 | 0.644172 |
b20d33938c4a8aa87b15577ef54b08ecc6657da8 | 261 | py | Python | git_master_main.py | ahrenstein/thefuck-rules | e6a7f3b9ce5b9eff9068a5e4dd3d298738549102 | [
"MIT"
] | 4 | 2021-01-18T14:29:22.000Z | 2022-02-25T13:00:37.000Z | git_master_main.py | ahrenstein/thefuck-rules | e6a7f3b9ce5b9eff9068a5e4dd3d298738549102 | [
"MIT"
] | null | null | null | git_master_main.py | ahrenstein/thefuck-rules | e6a7f3b9ce5b9eff9068a5e4dd3d298738549102 | [
"MIT"
] | null | null | null | def match(command):
return ('error: pathspec \'master\' did not match any file(s) known to git' in command.output.lower())
def get_new_command(command):
return command.script.replace("master","main")
# Optional:
priority = 5
enabled_by_default = True
| 26.1 | 106 | 0.724138 |
055e66149a807f68f4fe496640334f0924e5e67e | 20,134 | py | Python | pybotters/models/gmocoin.py | yota-p/pybotters | 4174779fb9ad6abd4cbe2ec59a62510e96653d1b | [
"MIT"
] | null | null | null | pybotters/models/gmocoin.py | yota-p/pybotters | 4174779fb9ad6abd4cbe2ec59a62510e96653d1b | [
"MIT"
] | null | null | null | pybotters/models/gmocoin.py | yota-p/pybotters | 4174779fb9ad6abd4cbe2ec59a62510e96653d1b | [
"MIT"
] | null | null | null | from __future__ import annotations
import asyncio
import logging
from datetime import datetime, timezone
from dateutil import parser
from decimal import Decimal
from enum import Enum, auto
from typing import Any, Awaitable, Optional, cast
import aiohttp
from pybotters.store import DataStore, DataStoreManager
from pyb... | 29.565345 | 88 | 0.590047 |
1c08ed6ffa4f8b177c56a947da9b49980ab0a2c2 | 107 | py | Python | mmocr/models/kie/heads/__init__.py | yuexy/mmocr | 82488024db159266e66ea6b0d6f84a5a18e87362 | [
"Apache-2.0"
] | 2,261 | 2021-04-08T03:45:41.000Z | 2022-03-31T23:37:46.000Z | mmocr/models/kie/heads/__init__.py | yuexy/mmocr | 82488024db159266e66ea6b0d6f84a5a18e87362 | [
"Apache-2.0"
] | 789 | 2021-04-08T05:40:13.000Z | 2022-03-31T09:42:39.000Z | mmocr/models/kie/heads/__init__.py | yuexy/mmocr | 82488024db159266e66ea6b0d6f84a5a18e87362 | [
"Apache-2.0"
] | 432 | 2021-04-08T03:56:16.000Z | 2022-03-30T18:44:43.000Z | # Copyright (c) OpenMMLab. All rights reserved.
from .sdmgr_head import SDMGRHead
__all__ = ['SDMGRHead']
| 21.4 | 47 | 0.757009 |
9f4b1b27cbe0812616d33e5409a8fbd7119a5b66 | 7,105 | py | Python | Method/reproduce_results/celoe_clp/reproduce_learning_concepts_with_length_predictor_semantic_bible_kb.py | dice-group/LearnALCLengths | cb019ba234092a323f3785517d1cc6152a5ef7a4 | [
"MIT"
] | null | null | null | Method/reproduce_results/celoe_clp/reproduce_learning_concepts_with_length_predictor_semantic_bible_kb.py | dice-group/LearnALCLengths | cb019ba234092a323f3785517d1cc6152a5ef7a4 | [
"MIT"
] | null | null | null | Method/reproduce_results/celoe_clp/reproduce_learning_concepts_with_length_predictor_semantic_bible_kb.py | dice-group/LearnALCLengths | cb019ba234092a323f3785517d1cc6152a5ef7a4 | [
"MIT"
] | null | null | null | import sys, os, json
import numpy as np, random
base_path = os.path.dirname(os.path.realpath(__file__)).split('reproduce_results')[0]
sys.path.append(base_path)
from celoe_clp.fast_concept_learner import CELOECLP
from ontolearn import KnowledgeBase
from ontolearn.refinement_operators import ExpressRefinement
from ont... | 47.366667 | 156 | 0.638424 |
fcba89e1631a6473b4440b285033bca0270cac21 | 73 | py | Python | src/hdp/__init__.py | datadiarist/hplda | a81cf84ea76487e716641bb6dfbf36f18ceac91e | [
"MIT"
] | null | null | null | src/hdp/__init__.py | datadiarist/hplda | a81cf84ea76487e716641bb6dfbf36f18ceac91e | [
"MIT"
] | 1 | 2021-09-24T04:30:51.000Z | 2021-09-24T04:30:51.000Z | src/hdp/__init__.py | datadiarist/hplda | a81cf84ea76487e716641bb6dfbf36f18ceac91e | [
"MIT"
] | 1 | 2020-05-01T03:59:42.000Z | 2020-05-01T03:59:42.000Z | from hdp import HDP
from hdp import text_prep
from hdp import perplexity
| 18.25 | 26 | 0.835616 |
636ac648eeb7b038679df3ae03a1b81787a665e0 | 11,929 | py | Python | apps/kemures/metrics/MRR/mrr_overview.py | DiegoCorrea/ouvidoMusical | e8bdb993e2c6ef2fe4a78e844bc60be2738a5ba5 | [
"MIT"
] | 1 | 2021-10-06T19:35:48.000Z | 2021-10-06T19:35:48.000Z | apps/kemures/metrics/MRR/mrr_overview.py | DiegoCorrea/ouvido_musical-Back | e8bdb993e2c6ef2fe4a78e844bc60be2738a5ba5 | [
"MIT"
] | null | null | null | apps/kemures/metrics/MRR/mrr_overview.py | DiegoCorrea/ouvido_musical-Back | e8bdb993e2c6ef2fe4a78e844bc60be2738a5ba5 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import logging
import os
import matplotlib.pyplot as plt
import pandas as pd
from apps.kemures.kernel.config.global_var import MRR_PATH_GRAPHICS, GRAPH_MARKERS, GRAPH_STYLE, GRAPH_COLORS
from apps.kemures.kernel.round.models import Round
from apps.kemures.metrics.MRR.DAO.models import MRR
from... | 47.907631 | 113 | 0.5578 |
ff69bdb3684a92134682620d0a77b6a4d145ef17 | 4,656 | py | Python | src/pki_util.py | AshirwadPradhan/intragit | e2baf2ed90665750b069b01d554d7a2e0e1de413 | [
"MIT"
] | null | null | null | src/pki_util.py | AshirwadPradhan/intragit | e2baf2ed90665750b069b01d554d7a2e0e1de413 | [
"MIT"
] | null | null | null | src/pki_util.py | AshirwadPradhan/intragit | e2baf2ed90665750b069b01d554d7a2e0e1de413 | [
"MIT"
] | 1 | 2020-03-29T11:59:46.000Z | 2020-03-29T11:59:46.000Z | # Utility Module
# Provides following helper methods for PKI
# 1. Generate private key
# 2. Generate X509 certificate for the self-signing CA (here the organization is the CA)
# 3. Generate X509 for the server hosted by the organization
# 4. Sign the CSR of the server
#Inspired f... | 43.514019 | 107 | 0.661297 |
e6e2cc86a51f713e49420b7c63a95ef0cd29e205 | 8,711 | py | Python | utils/extract_features_singlegpu.py | 1219521375/bottom-up-attention.pytorch | 4a2e64383f024cc56728dd2a0ee63c8a171663c8 | [
"Apache-2.0"
] | 3 | 2022-02-18T13:38:47.000Z | 2022-03-30T11:30:35.000Z | utils/extract_features_singlegpu.py | 1219521375/bottom-up-attention.pytorch | 4a2e64383f024cc56728dd2a0ee63c8a171663c8 | [
"Apache-2.0"
] | null | null | null | utils/extract_features_singlegpu.py | 1219521375/bottom-up-attention.pytorch | 4a2e64383f024cc56728dd2a0ee63c8a171663c8 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# pylint: disable=no-member
"""
TridentNet Training Script.
This script is a simplified version of the training script in detectron2/tools.
"""
import argparse
import os
import sys
import torch
# import tqdm
import cv2
import numpy as np
sys.path.a... | 38.715556 | 138 | 0.635404 |
c31ac027e46aa014476765248ee3f430b4974162 | 3,449 | py | Python | src/ml/trainer.py | AaronGrainer/gpt2-twitter-kubernetes | a33feb86231950dde5ee943bf5cfaf3915a23db2 | [
"Apache-2.0"
] | 3 | 2020-05-06T19:52:49.000Z | 2020-08-16T18:51:52.000Z | src/ml/trainer.py | AaronGrainer/gpt2-twitter-kubernetes | a33feb86231950dde5ee943bf5cfaf3915a23db2 | [
"Apache-2.0"
] | 19 | 2020-05-05T17:41:37.000Z | 2021-05-27T14:22:58.000Z | src/ml/trainer.py | AaronGrainer/gpt2-twitter-kubernetes | a33feb86231950dde5ee943bf5cfaf3915a23db2 | [
"Apache-2.0"
] | null | null | null | from transformers import AutoTokenizer, AutoModelForCausalLM, TextDataset, DataCollatorForLanguageModeling
from transformers import TrainingArguments, Trainer
import torch
from src.config import global_config as gc
import os
import fire
from typing import List
import wandb
class GPT2Trainer:
def __init__(self,... | 29.732759 | 106 | 0.615251 |
2f63e58fa656b9c7c26b872312b0c11f73267951 | 1,273 | py | Python | amaascore/assets/listed_cfd.py | amaas-fintech/amaas-core-sdk-python | bd77884de6e5ab05d864638addeb4bb338a51183 | [
"Apache-2.0"
] | null | null | null | amaascore/assets/listed_cfd.py | amaas-fintech/amaas-core-sdk-python | bd77884de6e5ab05d864638addeb4bb338a51183 | [
"Apache-2.0"
] | 8 | 2017-06-06T09:42:41.000Z | 2018-01-16T10:16:16.000Z | amaascore/assets/listed_cfd.py | amaas-fintech/amaas-core-sdk-python | bd77884de6e5ab05d864638addeb4bb338a51183 | [
"Apache-2.0"
] | 8 | 2017-01-18T04:14:01.000Z | 2017-12-01T08:03:10.000Z | from __future__ import absolute_import, division, print_function, unicode_literals
from datetime import datetime, date
from dateutil import parser
from amaascore.assets.listed_derivative import ListedDerivative
class ListedContractForDifference(ListedDerivative):
def __init__(self, asset_manager_id, asset_id, ... | 57.863636 | 112 | 0.568735 |
b562e47b86ee7f6312b379e551512ebe549ca07b | 17,351 | py | Python | mindquantum/core/operators/polynomial_tensor.py | Takishima/mindquantum | e90dfe474b759023d7ae18281b9a87cb8d223d04 | [
"Apache-2.0"
] | null | null | null | mindquantum/core/operators/polynomial_tensor.py | Takishima/mindquantum | e90dfe474b759023d7ae18281b9a87cb8d223d04 | [
"Apache-2.0"
] | null | null | null | mindquantum/core/operators/polynomial_tensor.py | Takishima/mindquantum | e90dfe474b759023d7ae18281b9a87cb8d223d04 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Portions Copyright (c) 2020 Huawei Technologies Co.,ltd.
# Portions Copyright 2017 The OpenFermion Developers.
#
# 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... | 35.194726 | 120 | 0.583482 |
f4845c212a263b4fe077a05c14928e1e1a22ef96 | 2,734 | py | Python | src/bert.py | geoffbacon/does-bert-agree | 9ece52d01f30352a200ad841efb6162e7597f0e4 | [
"MIT"
] | 2 | 2019-08-28T16:47:33.000Z | 2022-02-25T06:47:07.000Z | src/bert.py | geoffbacon/does-bert-agree | 9ece52d01f30352a200ad841efb6162e7597f0e4 | [
"MIT"
] | null | null | null | src/bert.py | geoffbacon/does-bert-agree | 9ece52d01f30352a200ad841efb6162e7597f0e4 | [
"MIT"
] | null | null | null | """Predict masked words using BERT.
The code in this module was heavily borrowed from Yoav Goldberg's code on
assessing BERT's syntactic abilities: https://github.com/yoavg/bert-syntax/
Thanks to Yoav for making his code available.
"""
import pandas as pd
import torch
from torch import LongTensor # pylint: disable=E... | 33.753086 | 81 | 0.634236 |
71ca61d6a00db381656778fff7754a31b2343ccb | 530 | py | Python | tests/nnapi/specs/V1_2/not_equal_float_nnfw.mod.py | periannath/ONE | 61e0bdf2bcd0bc146faef42b85d469440e162886 | [
"Apache-2.0"
] | 255 | 2020-05-22T07:45:29.000Z | 2022-03-29T23:58:22.000Z | tests/nnapi/specs/V1_2/not_equal_float_nnfw.mod.py | periannath/ONE | 61e0bdf2bcd0bc146faef42b85d469440e162886 | [
"Apache-2.0"
] | 5,102 | 2020-05-22T07:48:33.000Z | 2022-03-31T23:43:39.000Z | tests/nnapi/specs/V1_2/not_equal_float_nnfw.mod.py | periannath/ONE | 61e0bdf2bcd0bc146faef42b85d469440e162886 | [
"Apache-2.0"
] | 120 | 2020-05-22T07:51:08.000Z | 2022-02-16T19:08:05.000Z | # model
model = Model()
i1 = Input("op1", "TENSOR_FLOAT32", "{3}") # a vector of input
i2 = Input("op2", "TENSOR_FLOAT32", "{3}") # a vector of input
i3 = Output("op3", "TENSOR_BOOL8", "{3}") # a vector of output
model = model.Operation("NOT_EQUAL", i1, i2).To(i3)
# Example 1. Input in operand 0,
input0 = {i1: # input... | 27.894737 | 62 | 0.586792 |
bcf5d64cd073b26e98f78c48cc39b90f76339503 | 1,554 | py | Python | var/spack/repos/builtin/packages/intel-oneapi-inspector/package.py | BenWibking/spack | 49b3b43a4a9375210b578635d9240875a5f3106b | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 2,360 | 2017-11-06T08:47:01.000Z | 2022-03-31T14:45:33.000Z | var/spack/repos/builtin/packages/intel-oneapi-inspector/package.py | BenWibking/spack | 49b3b43a4a9375210b578635d9240875a5f3106b | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 13,838 | 2017-11-04T07:49:45.000Z | 2022-03-31T23:38:39.000Z | var/spack/repos/builtin/packages/intel-oneapi-inspector/package.py | flatironinstitute/spack | 71a7b1b5fadbe16bcdb36fb679aa828cd7d83b02 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 1,793 | 2017-11-04T07:45:50.000Z | 2022-03-30T14:31:53.000Z | # Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
import platform
from spack import *
class IntelOneapiInspector(IntelOneApiPackage):
"""Intel Inspector is a memory ... | 43.166667 | 133 | 0.704633 |
6934126eab65c646242a0d59ed59fefca05e743c | 3,503 | py | Python | src/urh/main.py | awesome-archive/urh | c8c3aabc9d637ca660d8c72c3d8372055e0f3ec7 | [
"Apache-2.0"
] | null | null | null | src/urh/main.py | awesome-archive/urh | c8c3aabc9d637ca660d8c72c3d8372055e0f3ec7 | [
"Apache-2.0"
] | null | null | null | src/urh/main.py | awesome-archive/urh | c8c3aabc9d637ca660d8c72c3d8372055e0f3ec7 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import locale
import os
import re
import sys
import time
from PyQt5.QtCore import QTimer
from PyQt5.QtGui import QPalette, QIcon
from PyQt5.QtWidgets import QApplication, QWidget, QStyleFactory
locale.setlocale(locale.LC_ALL, '')
GENERATE_UI = True
def main():
t = time.time()
if GEN... | 32.137615 | 97 | 0.66857 |
420026c9c960d5a23b97004701f4a5ca8f527209 | 1,595 | py | Python | bohr/cli/dataset/commands.py | giganticode/bohr-framework | fd364a1f036123985ac96e9076e5dce3bbc2ca2c | [
"MIT"
] | null | null | null | bohr/cli/dataset/commands.py | giganticode/bohr-framework | fd364a1f036123985ac96e9076e5dce3bbc2ca2c | [
"MIT"
] | 54 | 2021-02-17T13:36:51.000Z | 2021-08-25T05:06:57.000Z | bohr/cli/dataset/commands.py | giganticode/bohr-framework | fd364a1f036123985ac96e9076e5dce3bbc2ca2c | [
"MIT"
] | null | null | null | import logging
import textwrap
from pathlib import Path
from typing import Optional
import click
from tabulate import tabulate
from bohr import api
from bohr.datamodel.bohrrepo import load_bohr_repo
from bohr.util.logging import verbosity
logger = logging.getLogger(__name__)
@click.group()
def dataset():
pass
... | 27.033898 | 75 | 0.610031 |
561ab22e7d19b279526c74e7d320cdaddfa22162 | 6,312 | py | Python | globalsky/tests/base.py | LCOGT/globalskypartners | ecb4ffc7c8ed0902e71b648907046093ea82dc77 | [
"MIT"
] | null | null | null | globalsky/tests/base.py | LCOGT/globalskypartners | ecb4ffc7c8ed0902e71b648907046093ea82dc77 | [
"MIT"
] | 2 | 2021-05-25T13:16:56.000Z | 2021-06-18T08:29:36.000Z | globalsky/tests/base.py | LCOGT/globalskypartners | ecb4ffc7c8ed0902e71b648907046093ea82dc77 | [
"MIT"
] | null | null | null | """
NEO exchange: NEO observing portal for Las Cumbres Observatory
Copyright (C) 2015-2019 LCO
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any... | 42.362416 | 120 | 0.62706 |
409bb18ad6bf8d6006556c7c9fcbc8485c46e4cf | 34,339 | py | Python | git/config.py | daobook/GitPython | cbde921ecf38f25d1dd0dfcb9389514087187e68 | [
"BSD-3-Clause"
] | null | null | null | git/config.py | daobook/GitPython | cbde921ecf38f25d1dd0dfcb9389514087187e68 | [
"BSD-3-Clause"
] | null | null | null | git/config.py | daobook/GitPython | cbde921ecf38f25d1dd0dfcb9389514087187e68 | [
"BSD-3-Clause"
] | null | null | null | # config.py
# Copyright (C) 2008, 2009 Michael Trier (mtrier@gmail.com) and contributors
#
# This module is part of GitPython and is released under
# the BSD License: http://www.opensource.org/licenses/bsd-license.php
"""Module containing module parser implementation able to properly read and write
configuration files"... | 40.686019 | 117 | 0.59396 |
abaaa889a43064ea5b905a960abf0500b7efb4e6 | 6,634 | py | Python | interpreter.py | luisincrespo/ftp-client | 09352e16b37fdb9cd14bd0e20438b7dfea774445 | [
"MIT"
] | 5 | 2019-04-28T05:55:17.000Z | 2020-10-16T08:54:29.000Z | interpreter.py | luisincrespo/ftp-client | 09352e16b37fdb9cd14bd0e20438b7dfea774445 | [
"MIT"
] | 1 | 2020-04-04T05:42:41.000Z | 2020-04-05T10:40:29.000Z | interpreter.py | luisincrespo/ftp-client | 09352e16b37fdb9cd14bd0e20438b7dfea774445 | [
"MIT"
] | 3 | 2019-02-24T09:11:38.000Z | 2020-09-27T02:59:02.000Z | import os
from cmd import Cmd
from client import FtpClient
class FtpInterpreter(Cmd):
"""
FTP client command line utility.
"""
def __init__(self, debug=False):
Cmd.__init__(self)
self.intro = ('FTP Client. Start typing help or ? to see available '
'commands.')
... | 31.590476 | 78 | 0.571752 |
d87db0cda22d6c7a8db39f67d7dd92ee9d33c3b5 | 2,636 | py | Python | gunicorn/tests/test_metadata.py | vbarbaresi/integrations-core | ab26ab1cd6c28a97c1ad1177093a93659658c7aa | [
"BSD-3-Clause"
] | 663 | 2016-08-23T05:23:45.000Z | 2022-03-29T00:37:23.000Z | gunicorn/tests/test_metadata.py | vbarbaresi/integrations-core | ab26ab1cd6c28a97c1ad1177093a93659658c7aa | [
"BSD-3-Clause"
] | 6,642 | 2016-06-09T16:29:20.000Z | 2022-03-31T22:24:09.000Z | gunicorn/tests/test_metadata.py | vbarbaresi/integrations-core | ab26ab1cd6c28a97c1ad1177093a93659658c7aa | [
"BSD-3-Clause"
] | 1,222 | 2017-01-27T15:51:38.000Z | 2022-03-31T18:17:51.000Z | # (C) Datadog, Inc. 2018-present
# All rights reserved
# Licensed under Simplified BSD License (see LICENSE)
import pytest
from datadog_checks.gunicorn import GUnicornCheck
from .common import CHECK_NAME, CONTAINER_NAME, GUNICORN_VERSION, INSTANCE
# TODO: Test metadata in e2e when we can collect metadata from the ag... | 31.011765 | 84 | 0.747724 |
28f0cacd0877d5d14698a1898e77b37363fc2d02 | 1,118 | py | Python | setup.py | pushfoo/eightdad | 7464ea8212f4d8fa11f9d471736efdecf028e285 | [
"BSD-2-Clause"
] | 1 | 2020-05-29T16:11:41.000Z | 2020-05-29T16:11:41.000Z | setup.py | pushfoo/eightdad | 7464ea8212f4d8fa11f9d471736efdecf028e285 | [
"BSD-2-Clause"
] | 41 | 2020-05-29T08:01:15.000Z | 2020-11-27T11:45:41.000Z | setup.py | pushfoo/eightdad | 7464ea8212f4d8fa11f9d471736efdecf028e285 | [
"BSD-2-Clause"
] | null | null | null | from setuptools import setup, find_packages
install_requires=['bitarray','arcade==2.6.13']
tests_require = [
'pytest',
]
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name='eightdad',
version='0.0.1',
packages=find_packages(),
entry_points={
"console_scripts... | 27.268293 | 78 | 0.644902 |
537fd1c88f6238f594d78d9a53c7e2d55e5a2a6c | 6,954 | py | Python | src/build/mac_toolchain.py | Mr-Sheep/naiveproxy | 9f6e9768295f6d1d41517a15a621d4756bd7d6be | [
"BSD-3-Clause"
] | null | null | null | src/build/mac_toolchain.py | Mr-Sheep/naiveproxy | 9f6e9768295f6d1d41517a15a621d4756bd7d6be | [
"BSD-3-Clause"
] | null | null | null | src/build/mac_toolchain.py | Mr-Sheep/naiveproxy | 9f6e9768295f6d1d41517a15a621d4756bd7d6be | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# Copyright 2018 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""
If should_use_hermetic_xcode.py emits "1", and the current toolchain is out of
date:
* Downloads the hermetic mac toolchain
... | 34.77 | 80 | 0.714265 |
bc85ad18bb86c11487257f0042f96e4b7429bc9b | 556 | py | Python | entity_resolution/date_adjustment.py | budiryan/ScholarsNet | b6a9f3830c390a4420e361752f0187d8f955acfe | [
"MIT"
] | 9 | 2017-06-08T12:05:03.000Z | 2021-11-08T12:19:46.000Z | entity_resolution/date_adjustment.py | budiryan/ScholarsNet | b6a9f3830c390a4420e361752f0187d8f955acfe | [
"MIT"
] | null | null | null | entity_resolution/date_adjustment.py | budiryan/ScholarsNet | b6a9f3830c390a4420e361752f0187d8f955acfe | [
"MIT"
] | null | null | null | import sqlite3
path = '../sqlite/paperDB.db'
connection = sqlite3.connect('../sqlite/paperDB.db')
with connection:
cursor = connection.cursor()
cursor.execute('SELECT * FROM papers')
rows = cursor.fetchall()
for row in rows:
row = list(row)
if row[-1] == 'arxiv':
row[5] = r... | 29.263158 | 78 | 0.546763 |
45266ccfa09495f44e1f6dced368b58d92a28360 | 10,114 | py | Python | wtl/wtgithub/tests/worker.py | elegion/djangodash2013 | 3814123f9bff213a5d74db05db3caa83caea731c | [
"MIT"
] | null | null | null | wtl/wtgithub/tests/worker.py | elegion/djangodash2013 | 3814123f9bff213a5d74db05db3caa83caea731c | [
"MIT"
] | 1 | 2017-09-19T17:06:49.000Z | 2017-09-19T17:06:49.000Z | wtl/wtgithub/tests/worker.py | elegion/djangodash2013 | 3814123f9bff213a5d74db05db3caa83caea731c | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
import os
from django.test import TestCase
from exam.asserts import AssertsMixin
from github import UnknownObjectException
from github.Requester import Requester
import mock
from wtl.wtgithub.models import Repository
from wtl.wtgithub.tests.factories import RepositoryFactory
fr... | 43.407725 | 275 | 0.69735 |
c6e060cfacd2a1d24ae08023a350d6f98eba1c03 | 1,252 | py | Python | ProgrammerAlgorithmInterview/Chapter01/01_10_given_only_a_node_and_remove_it.py | YorkFish/git_study | 6e023244daaa22e12b24e632e76a13e5066f2947 | [
"MIT"
] | null | null | null | ProgrammerAlgorithmInterview/Chapter01/01_10_given_only_a_node_and_remove_it.py | YorkFish/git_study | 6e023244daaa22e12b24e632e76a13e5066f2947 | [
"MIT"
] | null | null | null | ProgrammerAlgorithmInterview/Chapter01/01_10_given_only_a_node_and_remove_it.py | YorkFish/git_study | 6e023244daaa22e12b24e632e76a13e5066f2947 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
#coding:utf-8
class LNode(object):
def __init__(self, x=None):
self.val = x
self.next = None
def remove(r_node):
"""
方法功能:给定单链表中某个结点,删除该节点
输入参数:链表中某结点
返回值:true: 删除该结点;false: 删除失败
"""
# 若输入结点为空或该结点无后继结点,则无法删除;因为实际上是删除后继结点
if r_node is None or r_node... | 21.586207 | 59 | 0.586262 |
fe6fa1ce6288e3706241c02e3f67d93762fef4ca | 9,775 | py | Python | lib/galaxy/external_services/service.py | vimalkumarvelayudhan/galaxy | ea89dd8f149778b6c2f0f3f4a34c8b21f7033af7 | [
"CC-BY-3.0"
] | null | null | null | lib/galaxy/external_services/service.py | vimalkumarvelayudhan/galaxy | ea89dd8f149778b6c2f0f3f4a34c8b21f7033af7 | [
"CC-BY-3.0"
] | null | null | null | lib/galaxy/external_services/service.py | vimalkumarvelayudhan/galaxy | ea89dd8f149778b6c2f0f3f4a34c8b21f7033af7 | [
"CC-BY-3.0"
] | null | null | null | #Contains objects for accessing external services applications
import logging
from parameters import ExternalServiceParameter
from actions import ExternalServiceAction
from galaxy.util.bunch import Bunch
log = logging.getLogger( __name__ )
class ExternalServiceActionsGroup( object ):
def __init__( self, parent, ... | 45.465116 | 145 | 0.64133 |
013084e88df75926ad4a96c91c654dadd67bbb90 | 1,661 | py | Python | software/authbox/test_gpio_button.py | brianredbeard/makerspace-auth | 79fab40be5455e29f5d596a44d0c4978f9112109 | [
"Apache-2.0"
] | 1 | 2019-05-29T17:02:09.000Z | 2019-05-29T17:02:09.000Z | software/authbox/test_gpio_button.py | brianredbeard/makerspace-auth | 79fab40be5455e29f5d596a44d0c4978f9112109 | [
"Apache-2.0"
] | null | null | null | software/authbox/test_gpio_button.py | brianredbeard/makerspace-auth | 79fab40be5455e29f5d596a44d0c4978f9112109 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 Google Inc. 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 applicable law or a... | 30.759259 | 84 | 0.697772 |
c426d8994cfa392438d78a5d06176a7198013a57 | 19,898 | py | Python | manila/tests/share/test_share_types.py | cloudification-io/manila | 9555e181f9e1b817b1072b986d35b46b59fb4e65 | [
"Apache-2.0"
] | 1 | 2020-06-17T13:20:21.000Z | 2020-06-17T13:20:21.000Z | manila/tests/share/test_share_types.py | viroel/manila | fbcabd2c03985000bd9b4d4d9a4478bc0b784efa | [
"Apache-2.0"
] | null | null | null | manila/tests/share/test_share_types.py | viroel/manila | fbcabd2c03985000bd9b4d4d9a4478bc0b784efa | [
"Apache-2.0"
] | 1 | 2021-02-23T05:52:11.000Z | 2021-02-23T05:52:11.000Z | # Copyright 2015 Deutsche Telekom AG. All rights reserved.
# Copyright 2015 Tom Barron. All rights reserved.
# Copyright 2015 Mirantis, Inc. 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... | 37.685606 | 78 | 0.609006 |
408169bd7883644a582a34e30466ad45bb3f9d9e | 170 | py | Python | sql/get_sql_table.py | JWen00/sthAwesome_19T2 | 8080a93a1945d7f118b4f06ee1edef075cd4a5b5 | [
"MIT"
] | null | null | null | sql/get_sql_table.py | JWen00/sthAwesome_19T2 | 8080a93a1945d7f118b4f06ee1edef075cd4a5b5 | [
"MIT"
] | null | null | null | sql/get_sql_table.py | JWen00/sthAwesome_19T2 | 8080a93a1945d7f118b4f06ee1edef075cd4a5b5 | [
"MIT"
] | null | null | null | import sqlite3
f = 'sqldemo.db'
conn = sqlite3.connect(f)
c = conn.cursor()
def get_table():
def set_availability(id, availability):
conn.commit() | 13.076923 | 40 | 0.635294 |
a78ee5793d13ef1638d619e5286a55e593f5ca86 | 3,896 | py | Python | research_2.py | TeamTitanz/ClassVectorRepresentation | 7e4eadd90d0a93e60af26d9313eff06e8088f57b | [
"Apache-2.0"
] | null | null | null | research_2.py | TeamTitanz/ClassVectorRepresentation | 7e4eadd90d0a93e60af26d9313eff06e8088f57b | [
"Apache-2.0"
] | null | null | null | research_2.py | TeamTitanz/ClassVectorRepresentation | 7e4eadd90d0a93e60af26d9313eff06e8088f57b | [
"Apache-2.0"
] | null | null | null | import numpy as np
import pandas as pd
import cPickle
from os import walk
import random
import math
from sklearn.cluster import KMeans
from sklearn import svm
from sklearn.linear_model import Perceptron
def calculateInputs(vectorList):
del vectorList[-1]
del vectorList[0]
X = np.array(vectorList)
vect... | 26.868966 | 111 | 0.669405 |
3e20f42c685a9408ebee510711a2d1cd5944c318 | 13,007 | py | Python | cynetworkx/classes/coreviews.py | Viech/cynetworkx | 01a37859c67b752392e9e783c949084964eef2cf | [
"BSD-3-Clause"
] | 12 | 2019-07-23T08:07:53.000Z | 2022-03-09T06:13:16.000Z | cynetworkx/classes/coreviews.py | Viech/cynetworkx | 01a37859c67b752392e9e783c949084964eef2cf | [
"BSD-3-Clause"
] | 7 | 2019-08-30T07:00:00.000Z | 2021-12-30T08:02:56.000Z | cynetworkx/classes/coreviews.py | Viech/cynetworkx | 01a37859c67b752392e9e783c949084964eef2cf | [
"BSD-3-Clause"
] | 5 | 2020-10-10T03:40:32.000Z | 2021-11-23T12:28:53.000Z | # Copyright (C) 2004-2018 by
# Aric Hagberg <hagberg@lanl.gov>
# Dan Schult <dschult@colgate.edu>
# Pieter Swart <swart@lanl.gov>
# All rights reserved.
# BSD license.
#
# Authors: Aric Hagberg (hagberg@lanl.gov),
# Pieter Swart (swart@lanl.gov),
# Dan Schult(dschult@colgate.edu)
"""... | 32.116049 | 79 | 0.605213 |
a6252474876bf33e54b3278c767a278d7ae621ee | 6,225 | py | Python | statham/schema/elements/meta.py | george-fry/statham-schema | 19aa64de8750001cbc24f2775e0684f2298f840f | [
"MIT"
] | 23 | 2020-06-25T15:55:29.000Z | 2022-03-31T16:51:40.000Z | statham/schema/elements/meta.py | george-fry/statham-schema | 19aa64de8750001cbc24f2775e0684f2298f840f | [
"MIT"
] | 25 | 2020-02-29T15:32:35.000Z | 2022-03-03T17:22:45.000Z | statham/schema/elements/meta.py | george-fry/statham-schema | 19aa64de8750001cbc24f2775e0684f2298f840f | [
"MIT"
] | 5 | 2020-10-18T19:14:32.000Z | 2022-03-09T10:40:41.000Z | import inspect
import keyword
from typing import Any, cast, Dict, List, Tuple, Type, Union
from statham.schema.constants import Maybe, NotPassed
from statham.schema.elements.base import Element
from statham.schema.property import _Property
from statham.schema.exceptions import SchemaDefinitionError
from statham.schema... | 32.421875 | 80 | 0.609157 |
504a2ebc6904df41b749f89e264a7da9f7113fd5 | 11,481 | py | Python | ormar/queryset/clause.py | philipp-leanix/ormar | e5538852218b93b6b10f4732128accaa2e3f45e0 | [
"MIT"
] | null | null | null | ormar/queryset/clause.py | philipp-leanix/ormar | e5538852218b93b6b10f4732128accaa2e3f45e0 | [
"MIT"
] | null | null | null | ormar/queryset/clause.py | philipp-leanix/ormar | e5538852218b93b6b10f4732128accaa2e3f45e0 | [
"MIT"
] | null | null | null | import itertools
from dataclasses import dataclass
from enum import Enum
from typing import Any, Generator, List, TYPE_CHECKING, Tuple, Type
import sqlalchemy
import ormar # noqa I100
from ormar.queryset.actions.filter_action import FilterAction
from ormar.queryset.utils import get_relationship_alias_model_and_str
... | 36.447619 | 88 | 0.646895 |
8265df9fe2cb8a0bd815fd4c324b356c7b35c4f5 | 110 | py | Python | dummy/book/urls.py | KeeperNight/Citric | c472b6f172393ada87453cab17c760d155c4800c | [
"Apache-2.0"
] | 1 | 2019-11-25T08:10:32.000Z | 2019-11-25T08:10:32.000Z | dummy/book/urls.py | KeeperNight/Citric | c472b6f172393ada87453cab17c760d155c4800c | [
"Apache-2.0"
] | null | null | null | dummy/book/urls.py | KeeperNight/Citric | c472b6f172393ada87453cab17c760d155c4800c | [
"Apache-2.0"
] | null | null | null | from django.urls import path
from . import views
urlpatterns=[
path('',views.about_book,name="book"),
]
| 13.75 | 42 | 0.7 |
f3890719340cbf811e3e09837ced9a1cb3868ead | 742 | py | Python | setup.py | amane-katagiri/mdx_cite | 35c280023c5a9cca72c455b92cbd7e9477b869c0 | [
"BSD-3-Clause"
] | null | null | null | setup.py | amane-katagiri/mdx_cite | 35c280023c5a9cca72c455b92cbd7e9477b869c0 | [
"BSD-3-Clause"
] | null | null | null | setup.py | amane-katagiri/mdx_cite | 35c280023c5a9cca72c455b92cbd7e9477b869c0 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
from setuptools import setup
setup(
name='mdx_cite',
version='1.0',
author='Alexandre Leray',
author_email='alexandre@stdin.fr',
description='Python-Markdown extension to support the <cite> tag.',
url='http://activearchives.org/',
py_modules=['mdx_cite'],
instal... | 27.481481 | 71 | 0.613208 |
74b2ed20c1c5c4ea5a3d91408dff2c76e991aae9 | 408 | py | Python | escalate/core/models/base_classes/chemistry_base_class.py | darkreactions/ESCALATE | 0020da00b81a2dd80d1c9fd72d2edf92b519e605 | [
"MIT"
] | 11 | 2020-09-29T13:59:02.000Z | 2022-03-23T04:57:52.000Z | escalate/core/models/base_classes/chemistry_base_class.py | darkreactions/ESCALATE | 0020da00b81a2dd80d1c9fd72d2edf92b519e605 | [
"MIT"
] | 95 | 2019-11-18T20:10:49.000Z | 2022-03-31T17:09:49.000Z | escalate/core/models/base_classes/chemistry_base_class.py | darkreactions/ESCALATE | 0020da00b81a2dd80d1c9fd72d2edf92b519e605 | [
"MIT"
] | 2 | 2021-11-26T18:22:08.000Z | 2022-03-31T11:57:10.000Z | from django.db import models
class ChemistryBaseColumns(models.Model):
'''
Currently I don't see common variables between all classes in chemistry_data so this is empty.
This should still stay to maintain Template -> Model -> Object coding sentiment and if common columns are
created throughout chemist... | 37.090909 | 110 | 0.72549 |
3751071156f72c3d1ad9e0ea38cbbff5dbc21e9e | 3,289 | py | Python | game/consumers/base_game_consumer.py | dimadk24/english-fight-api | 506a3eb2cb4cb91203b1e023b5248c27975df075 | [
"MIT"
] | null | null | null | game/consumers/base_game_consumer.py | dimadk24/english-fight-api | 506a3eb2cb4cb91203b1e023b5248c27975df075 | [
"MIT"
] | null | null | null | game/consumers/base_game_consumer.py | dimadk24/english-fight-api | 506a3eb2cb4cb91203b1e023b5248c27975df075 | [
"MIT"
] | null | null | null | from typing import Optional, Type
from asgiref.sync import async_to_sync
from channels.generic.websocket import JsonWebsocketConsumer
from django.db.models import Model
from rest_framework.serializers import Serializer
from typing_extensions import TypedDict
from common.string_utils import snake_case
from game.consum... | 31.625 | 79 | 0.633931 |
3b70ffe7b375ce9013dd273e364bfb063a21cd0a | 4,043 | py | Python | tests/unit/cli/errors_test.py | pareshmg/compose | cba758361499d74ef26bf281b73206e6dc12b5c9 | [
"Apache-2.0"
] | 2 | 2020-08-30T12:57:11.000Z | 2021-01-21T13:17:43.000Z | tests/unit/cli/errors_test.py | pareshmg/compose | cba758361499d74ef26bf281b73206e6dc12b5c9 | [
"Apache-2.0"
] | 38 | 2021-07-19T21:08:06.000Z | 2022-03-28T21:11:05.000Z | tests/unit/cli/errors_test.py | pareshmg/compose | cba758361499d74ef26bf281b73206e6dc12b5c9 | [
"Apache-2.0"
] | 3 | 2020-09-22T02:56:37.000Z | 2021-03-15T10:31:24.000Z | import pytest
from docker.errors import APIError
from requests.exceptions import ConnectionError
from compose.cli import errors
from compose.cli.errors import handle_connection_errors
from compose.const import IS_WINDOWS_PLATFORM
from tests import mock
@pytest.yield_fixture
def mock_logging():
with mock.patch('c... | 42.114583 | 104 | 0.695523 |
ba5cdfd3c1c0c2c7293a5f23667305aa04b5bcdc | 3,169 | py | Python | cogniac/tenant.py | CogniacViSean/cogniac-sdk-py | 11f985a07bbaf5616315abbb0a56c75bc7928472 | [
"Apache-2.0"
] | null | null | null | cogniac/tenant.py | CogniacViSean/cogniac-sdk-py | 11f985a07bbaf5616315abbb0a56c75bc7928472 | [
"Apache-2.0"
] | null | null | null | cogniac/tenant.py | CogniacViSean/cogniac-sdk-py | 11f985a07bbaf5616315abbb0a56c75bc7928472 | [
"Apache-2.0"
] | null | null | null | """
CogniacTenant Object
Copyright (C) 2016 Cogniac Corporation
"""
import json
from retrying import retry
from .common import *
TENANT_ADMIN_ROLE = "tenant_admin"
TENANT_USER_ROLE = "tenant_user"
TENANT_VIEWER_ROLE = "tenant_viewer"
TENANT_BILLING_ROLE = "tenant_billing"
##
# CogniacTenant
##
class CogniacTen... | 33.357895 | 107 | 0.618807 |
85bb47485a2e79619633eb3ff98dbda483aca65f | 303,714 | py | Python | pandas/core/frame.py | mojones/pandas | 3d4f9dc19d784526f71a197bfb6e36b0409e0760 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 1 | 2020-04-13T02:14:37.000Z | 2020-04-13T02:14:37.000Z | pandas/core/frame.py | mojones/pandas | 3d4f9dc19d784526f71a197bfb6e36b0409e0760 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 1 | 2020-04-16T05:21:06.000Z | 2020-04-16T05:21:06.000Z | pandas/core/frame.py | mojones/pandas | 3d4f9dc19d784526f71a197bfb6e36b0409e0760 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 1 | 2020-06-19T11:52:05.000Z | 2020-06-19T11:52:05.000Z | """
DataFrame
---------
An efficient 2D container for potentially mixed-type time series or other
labeled data series.
Similar to its R counterpart, data.frame, except providing automatic data
alignment and a host of useful data manipulation methods having to do with the
labeling information
"""
import collections
fr... | 34.411285 | 170 | 0.531263 |
f45d869f3863fa3f668180b94babdbe4cf2d6ea6 | 9,022 | py | Python | RB_UTILITY/mcp2210/commands.py | calcite/ResetBuddy | 864c1789aa8cf360124e96b15f0ab45057d52ecb | [
"MIT"
] | 1 | 2016-04-12T19:25:02.000Z | 2016-04-12T19:25:02.000Z | sw/display/mcp/commands.py | misisnik/ExternalInterface | a936b5999a3441374f0af38f2b012d9ae8291dae | [
"MIT"
] | null | null | null | sw/display/mcp/commands.py | misisnik/ExternalInterface | a936b5999a3441374f0af38f2b012d9ae8291dae | [
"MIT"
] | null | null | null | from ctypes import Structure, c_ubyte, c_ushort, c_uint, c_char
class CommandHeader(Structure):
_fields_ = [('command', c_ubyte),
('subcommand', c_ubyte),
('reserved_1', c_ubyte),
('reserved_2', c_ubyte)]
class ResponseHeader(Structure):
_fields_ = [('command'... | 26.692308 | 99 | 0.610397 |
1c1cdf32049e5474a7fd370b9f1c39d77a785955 | 29,600 | py | Python | sql/query.py | jiangming1/archery | e05c06ee18eb2c967fd49b4b5a72d271abcccbe4 | [
"Apache-2.0"
] | null | null | null | sql/query.py | jiangming1/archery | e05c06ee18eb2c967fd49b4b5a72d271abcccbe4 | [
"Apache-2.0"
] | null | null | null | sql/query.py | jiangming1/archery | e05c06ee18eb2c967fd49b4b5a72d271abcccbe4 | [
"Apache-2.0"
] | 1 | 2019-05-29T11:22:40.000Z | 2019-05-29T11:22:40.000Z | # -*- coding: UTF-8 -*-
import datetime
import logging
import re
import time
import traceback
import simplejson as json
from django.contrib.auth.decorators import permission_required
from django.core import serializers
from django.db import connection
from django.db import transaction
from django.db.models import Q, M... | 45.259939 | 134 | 0.584291 |
cf8253e0a1e406047ec1798dab40a4d6f9b1a904 | 1,043 | py | Python | app/core/migrations/0004_recipe.py | shivanshu1086/recipe-app-api | 5c869b7493a42e66c8588c2d17a01b73a022ddb3 | [
"MIT"
] | null | null | null | app/core/migrations/0004_recipe.py | shivanshu1086/recipe-app-api | 5c869b7493a42e66c8588c2d17a01b73a022ddb3 | [
"MIT"
] | null | null | null | app/core/migrations/0004_recipe.py | shivanshu1086/recipe-app-api | 5c869b7493a42e66c8588c2d17a01b73a022ddb3 | [
"MIT"
] | null | null | null | # Generated by Django 2.1.15 on 2021-12-04 20:33
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('core', '0003_ingredient'),
]
operations = [
migrations.CreateModel(
... | 35.965517 | 118 | 0.604027 |
b5643f24c05aeab30bade0cc7965d19ffa6edcf2 | 67,104 | py | Python | chainer/graph_optimizations/static_graph.py | zaltoprofen/chainer | 3b03f9afc80fd67f65d5e0395ef199e9506b6ee1 | [
"MIT"
] | 2 | 2018-10-09T15:37:43.000Z | 2019-04-28T02:45:22.000Z | chainer/graph_optimizations/static_graph.py | zaltoprofen/chainer | 3b03f9afc80fd67f65d5e0395ef199e9506b6ee1 | [
"MIT"
] | 1 | 2019-10-17T09:56:18.000Z | 2019-10-17T09:56:18.000Z | chainer/graph_optimizations/static_graph.py | zaltoprofen/chainer | 3b03f9afc80fd67f65d5e0395ef199e9506b6ee1 | [
"MIT"
] | null | null | null | import sys
import weakref
import numpy as np
import chainer
from chainer.backends import cuda
import chainer.function_node
def _is_xp(x):
return isinstance(x, np.ndarray) or isinstance(x, cuda.ndarray)
class ScheduleInfo(object):
"""A callable wrapper for a function in the static schedule.
Args:
... | 45.617947 | 79 | 0.613093 |
b9bb710b6094c5454943d86e9a2ee38b24dfed6d | 25,167 | py | Python | idaes/gas_solid_contactors/properties/oxygen_iron_OC_oxidation/solid_phase_thermo.py | eslickj/idaes-pse | 328ed07ffb0b4d98c03e972675ea32c41dd2531a | [
"RSA-MD"
] | 112 | 2019-02-11T23:16:36.000Z | 2022-03-23T20:59:57.000Z | idaes/gas_solid_contactors/properties/oxygen_iron_OC_oxidation/solid_phase_thermo.py | eslickj/idaes-pse | 328ed07ffb0b4d98c03e972675ea32c41dd2531a | [
"RSA-MD"
] | 621 | 2019-03-01T14:44:12.000Z | 2022-03-31T19:49:25.000Z | idaes/gas_solid_contactors/properties/oxygen_iron_OC_oxidation/solid_phase_thermo.py | eslickj/idaes-pse | 328ed07ffb0b4d98c03e972675ea32c41dd2531a | [
"RSA-MD"
] | 154 | 2019-02-01T23:46:33.000Z | 2022-03-23T15:07:10.000Z | #################################################################################
# The Institute for the Design of Advanced Energy Systems Integrated Platform
# Framework (IDAES IP) was produced under the DOE Institute for the
# Design of Advanced Energy Systems (IDAES), and is copyright (c) 2018-2021
# by the softwar... | 43.391379 | 81 | 0.524655 |
82a5f1df01716b0c83a70610a9644f9257031d32 | 26,748 | py | Python | pysurvival/models/multi_task.py | msloma144/pysurvival | 4f8107f368b3865a3ed763f952dc6ee504bda599 | [
"Apache-2.0"
] | null | null | null | pysurvival/models/multi_task.py | msloma144/pysurvival | 4f8107f368b3865a3ed763f952dc6ee504bda599 | [
"Apache-2.0"
] | null | null | null | pysurvival/models/multi_task.py | msloma144/pysurvival | 4f8107f368b3865a3ed763f952dc6ee504bda599 | [
"Apache-2.0"
] | null | null | null | from __future__ import absolute_import
import torch
import numpy as np
import copy
import multiprocessing
from pysurvival import HAS_GPU
from pysurvival import utils
from pysurvival.utils import neural_networks as nn
from pysurvival.utils import optimization as opt
from pysurvival.models import BaseModel
import sys
#... | 38.320917 | 111 | 0.5532 |
a3b241dc602e766afd44be5031adafb64eabf4a7 | 14,388 | py | Python | train.py | miliadis/DeepVideoCS | 760851192d6b5a7b21ea05b3c202db02f39276f5 | [
"BSD-2-Clause"
] | 65 | 2017-12-16T09:53:17.000Z | 2021-12-22T12:30:00.000Z | train.py | miliadis/DeepVideoCS | 760851192d6b5a7b21ea05b3c202db02f39276f5 | [
"BSD-2-Clause"
] | 4 | 2019-07-28T03:42:44.000Z | 2021-03-03T02:11:37.000Z | train.py | miliadis/DeepVideoCS | 760851192d6b5a7b21ea05b3c202db02f39276f5 | [
"BSD-2-Clause"
] | 25 | 2018-01-19T13:32:06.000Z | 2021-10-04T06:21:58.000Z | import argparse
import os
import time
import logging
from utils.log import setup_logging, ResultsLog, save_checkpoint, results_add
from datetime import datetime
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.optim.lr_scheduler as sc
import torch.backends.cudnn as cudnn
import torch.optim
impo... | 38.470588 | 137 | 0.637962 |
265e1931e75c859082cf39be72f7d57b0148131b | 464 | py | Python | dev_01.py | soundmaking/led8x8m | 383fe39c9e328951a25fd23298a4a4c11e8c964e | [
"MIT"
] | null | null | null | dev_01.py | soundmaking/led8x8m | 383fe39c9e328951a25fd23298a4a4c11e8c964e | [
"MIT"
] | null | null | null | dev_01.py | soundmaking/led8x8m | 383fe39c9e328951a25fd23298a4a4c11e8c964e | [
"MIT"
] | null | null | null | from time import sleep
from random import randint
from led8x8m import LedMatrix
ledmx = LedMatrix()
def rand_xy():
x = randint(0, 7)
y = randint(0, 7)
return x, y
def rand_list():
my_list = []
for _ in range(25):
x, y = rand_xy()
my_list.append((x, y))
return my_list
while... | 16.571429 | 30 | 0.571121 |
8cac9d798a05b0d5ae5f00b7ecc6be6b3a3b82b4 | 5,565 | py | Python | Data Visualization/School/code.py | ALDOR99/Python | a76f37bb3e573cd3fdcfc19f4f73494cafa9140e | [
"MIT"
] | 2 | 2021-05-27T19:13:02.000Z | 2021-06-02T13:26:35.000Z | Data Visualization/School/code.py | ALDOR99/Python | a76f37bb3e573cd3fdcfc19f4f73494cafa9140e | [
"MIT"
] | null | null | null | Data Visualization/School/code.py | ALDOR99/Python | a76f37bb3e573cd3fdcfc19f4f73494cafa9140e | [
"MIT"
] | 1 | 2021-06-07T18:17:35.000Z | 2021-06-07T18:17:35.000Z | # -*- coding: utf-8 -*-
"""
Created on Sun Jun 13 17:27:37 2021
@author: ali_d
"""
#school
import numpy as np
import pandas as pd
# plotly
from plotly.offline import init_notebook_mode, iplot, plot
import plotly as py
init_notebook_mode(connected=True)
import plotly.graph_objs as go
from wordcloud import WordClou... | 20.384615 | 106 | 0.548967 |
71c558c80445c65bb4d4b7a3b5b72fb2fd49d838 | 4,614 | py | Python | t4k/transformer/time_series_target_encoder.py | Yoshiki-Takahashi/tools4kaggle | eb2779687867e876f6beec1351140cfec046b152 | [
"MIT"
] | null | null | null | t4k/transformer/time_series_target_encoder.py | Yoshiki-Takahashi/tools4kaggle | eb2779687867e876f6beec1351140cfec046b152 | [
"MIT"
] | null | null | null | t4k/transformer/time_series_target_encoder.py | Yoshiki-Takahashi/tools4kaggle | eb2779687867e876f6beec1351140cfec046b152 | [
"MIT"
] | null | null | null | from sklearn.base import BaseEstimator, TransformerMixin
import category_encoders as ce
import numpy as np
import pandas as pd
class TimeSeriesTargetEncoder(BaseEstimator, TransformerMixin):
"""
Encode category to target value frequency on past data.
Parameters
----------
cols: lis... | 39.435897 | 111 | 0.640225 |
38f00aeade41815fa0ef310ce4a6484bb7e1cc5a | 23,284 | py | Python | Main/modules/lin_decoder.py | XIAO-LI-UPF/Natural-Language-ParagraphGeneration | 7d13e087bd2baa9a7f393fcc63e84e6aee1a3e34 | [
"MIT"
] | 6 | 2019-11-20T14:12:25.000Z | 2021-01-04T13:23:30.000Z | Main/modules/lin_decoder.py | XIAO-LI-UPF/Natural-Language-ParagraphGeneration | 7d13e087bd2baa9a7f393fcc63e84e6aee1a3e34 | [
"MIT"
] | 2 | 2020-02-17T21:24:40.000Z | 2020-07-21T11:24:07.000Z | Main/modules/lin_decoder.py | XIAO-LI-UPF/Natural-Language-ParagraphGeneration | 7d13e087bd2baa9a7f393fcc63e84e6aee1a3e34 | [
"MIT"
] | null | null | null | import dynet as dy
import dynet_modules as dm
import numpy as np
import random
from utils import *
from time import time
from collections import defaultdict
from modules.seq_encoder import SeqEncoder
from modules.bag_encoder import BagEncoder
from modules.tree_encoder import TreeEncoder
class LinDecoder(Decoder):
... | 41.357016 | 131 | 0.587528 |
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