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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1bfd59334a564777e89e096433d85ba16c400228 | 7,876 | py | Python | userbot/plugins/mute.py | saskeuday/sasoke | 8ed75e7011172547ba1abc8fb75aa72581b1c0c6 | [
"MIT"
] | null | null | null | userbot/plugins/mute.py | saskeuday/sasoke | 8ed75e7011172547ba1abc8fb75aa72581b1c0c6 | [
"MIT"
] | null | null | null | userbot/plugins/mute.py | saskeuday/sasoke | 8ed75e7011172547ba1abc8fb75aa72581b1c0c6 | [
"MIT"
] | 1 | 2020-09-03T13:39:52.000Z | 2020-09-03T13:39:52.000Z | # Copyright 2019 - 2020 DarkPrinc3
# 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 ... | 35.8 | 131 | 0.583418 |
8efb7221a9a48957e7b294046a06aecbcea30867 | 6,654 | py | Python | cms/views.py | hirunatan/django-cms | aa85ced5a9539f593f449b5a195df483580e11ea | [
"BSD-3-Clause"
] | 1 | 2021-04-08T13:49:04.000Z | 2021-04-08T13:49:04.000Z | cms/views.py | hirunatan/django-cms | aa85ced5a9539f593f449b5a195df483580e11ea | [
"BSD-3-Clause"
] | null | null | null | cms/views.py | hirunatan/django-cms | aa85ced5a9539f593f449b5a195df483580e11ea | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import with_statement
from django.template.response import TemplateResponse
from cms.apphook_pool import apphook_pool
from cms.appresolver import get_app_urls
from cms.models import Title
from cms.utils import get_template_from_request, get_language_from_request
from cms.utils.i1... | 44.36 | 116 | 0.653592 |
bb29ca4d1fad3072a7ea1f38e97748ffe79dfb62 | 7,726 | py | Python | src/semseg/model/psptrans.py | CVMI-Lab/KDEP | 5fe3914dac9e522476086bad47bc35b4661c6171 | [
"Apache-2.0"
] | 32 | 2022-03-06T09:29:35.000Z | 2022-03-28T07:12:35.000Z | src/semseg/model/psptrans.py | CVMI-Lab/KDEP | 5fe3914dac9e522476086bad47bc35b4661c6171 | [
"Apache-2.0"
] | null | null | null | src/semseg/model/psptrans.py | CVMI-Lab/KDEP | 5fe3914dac9e522476086bad47bc35b4661c6171 | [
"Apache-2.0"
] | 1 | 2022-03-14T03:08:01.000Z | 2022-03-14T03:08:01.000Z | import torch
from torch import nn
import torch.nn.functional as F
from einops import rearrange
import model.transformer.net_factory as models
from model.transformer.prog_trans import PatchEmbed
import util.lovasz_softmax as L
class PPM(nn.Module):
def __init__(self, in_dim, reduction_dim, bins, BatchNorm):
... | 37.872549 | 142 | 0.53663 |
95346323375cf4120a29b3900085cfbd3bd38bb0 | 3,217 | py | Python | harmoni_core/harmoni_decision/scripts/harmoni_decision/behavior_controller.py | riya-ranjan/HARMONI | 2207cadf69a622232506fcab538df8bb76412549 | [
"MIT"
] | 7 | 2020-09-02T06:31:21.000Z | 2022-02-18T21:16:44.000Z | harmoni_core/harmoni_decision/scripts/harmoni_decision/behavior_controller.py | riya-ranjan/HARMONI | 2207cadf69a622232506fcab538df8bb76412549 | [
"MIT"
] | 61 | 2020-05-15T16:46:32.000Z | 2021-07-28T17:44:49.000Z | harmoni_core/harmoni_decision/scripts/harmoni_decision/behavior_controller.py | riya-ranjan/HARMONI | 2207cadf69a622232506fcab538df8bb76412549 | [
"MIT"
] | 3 | 2020-10-05T23:01:29.000Z | 2022-03-02T11:53:34.000Z | #!/usr/bin/env python3
# Importing the libraries
import rospy
import roslib
from harmoni_common_lib.action_client import HarmoniActionClient
from harmoni_common_lib import constants
import inspect
class BehaviorController:
"""Instantiates behaviors and receives commands/data for them.
This class is a singl... | 33.164948 | 85 | 0.571029 |
2238424c6c83b698e5c57df985017bbf6c3ce53d | 38,442 | py | Python | biopal/fh/main_FH.py | ClementAlbinet/BioPAL | 1986b90665559e1dab7abecac452ddb019c4f09b | [
"MIT"
] | 35 | 2021-04-26T13:11:34.000Z | 2022-03-13T02:27:53.000Z | biopal/fh/main_FH.py | ClementAlbinet/BioPAL | 1986b90665559e1dab7abecac452ddb019c4f09b | [
"MIT"
] | 13 | 2021-04-28T20:56:53.000Z | 2022-03-25T09:15:26.000Z | biopal/fh/main_FH.py | ClementAlbinet/BioPAL | 1986b90665559e1dab7abecac452ddb019c4f09b | [
"MIT"
] | 12 | 2021-04-26T13:11:43.000Z | 2022-03-28T06:19:19.000Z | # SPDX-FileCopyrightText: BioPAL <biopal@esa.int>
# SPDX-License-Identifier: MIT
import logging
import os
import numpy as np
import shutil
from scipy.signal import convolve2d
from osgeo import gdal
from equi7grid.equi7grid import Equi7Grid
from equi7grid.image2equi7grid import image2equi7grid
# biomassL2 processor im... | 41.558919 | 270 | 0.57432 |
dbc50329c769bb08cf8636173050562705975623 | 44,757 | py | Python | test/python/compiler/test_transpiler.py | HuangJunye/qiskit-terra | 0c8bb3dbf8d688590431ca79a83ba8aede84ed20 | [
"Apache-2.0"
] | null | null | null | test/python/compiler/test_transpiler.py | HuangJunye/qiskit-terra | 0c8bb3dbf8d688590431ca79a83ba8aede84ed20 | [
"Apache-2.0"
] | 2 | 2022-03-30T10:09:44.000Z | 2022-03-30T10:09:45.000Z | test/python/compiler/test_transpiler.py | HuangJunye/qiskit-terra | 0c8bb3dbf8d688590431ca79a83ba8aede84ed20 | [
"Apache-2.0"
] | null | null | null | # This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2019.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivat... | 38.851563 | 99 | 0.594544 |
c9d4fb8cb522a9a9ea61cef9b93c81313e7fbed8 | 4,278 | py | Python | code/client/munkilib/munkilog.py | KWik/munki | 82b720661a21b532a7c26c687fde671f3b2bdc5e | [
"Apache-2.0"
] | 2,536 | 2015-01-03T18:11:06.000Z | 2022-03-29T09:06:02.000Z | code/client/munkilib/munkilog.py | KWik/munki | 82b720661a21b532a7c26c687fde671f3b2bdc5e | [
"Apache-2.0"
] | 639 | 2015-01-09T02:42:46.000Z | 2022-03-31T14:41:28.000Z | code/client/munkilib/munkilog.py | andre4ik3/munki | fda0c168231edefde8a57a60b133b75cafd38300 | [
"Apache-2.0"
] | 439 | 2015-01-05T18:09:53.000Z | 2022-03-28T17:15:04.000Z | # encoding: utf-8
#
# Copyright 2009-2021 Greg Neagle.
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | 29.708333 | 79 | 0.636279 |
56701b5712aa0ed72728994915ca54a0a3d3a47a | 1,899 | py | Python | tallgrass/conus_api_etm/log_logger.py | tonybutzer/etm_v3_tony | ec32d94a8730247af90072c49bdb9f81d036af9b | [
"MIT"
] | null | null | null | tallgrass/conus_api_etm/log_logger.py | tonybutzer/etm_v3_tony | ec32d94a8730247af90072c49bdb9f81d036af9b | [
"MIT"
] | null | null | null | tallgrass/conus_api_etm/log_logger.py | tonybutzer/etm_v3_tony | ec32d94a8730247af90072c49bdb9f81d036af9b | [
"MIT"
] | null | null | null | import logging
import os
import sys
import boto3
from inspect import currentframe
def log_init(nameV, log_level):
"""
Function defines the log file name and output path, as well as the
logging level.
log_p = print statement
log_d = debug statement
"""
global logger
logger = l... | 27.926471 | 76 | 0.612428 |
2a94533ba79364ce08103fa31ec368a53ce36d10 | 22,533 | py | Python | script/gen_sql_seq.py | WING-NUS/slsql | ed7162fca2a5a0a24408ec3448a3ec85c92df6a0 | [
"MIT"
] | 14 | 2020-11-23T12:59:21.000Z | 2022-01-08T08:33:51.000Z | script/gen_sql_seq.py | WING-NUS/slsql | ed7162fca2a5a0a24408ec3448a3ec85c92df6a0 | [
"MIT"
] | 2 | 2020-11-29T08:23:14.000Z | 2021-06-01T06:59:25.000Z | script/gen_sql_seq.py | WING-NUS/slsql | ed7162fca2a5a0a24408ec3448a3ec85c92df6a0 | [
"MIT"
] | 4 | 2020-11-29T11:55:39.000Z | 2021-11-12T02:35:00.000Z | # borrowed from Spider dataset repo
################################
# Assumptions:
# 1. sql is correct
# 2. only table name has alias
# 3. only one intersect/union/except
#
# val: number(float)/string(str)/sql(dict)
# col_unit: (agg_id, col_id, isDistinct(bool))
# val_unit: (unit_op, col_unit1, col_unit2)
# tabl... | 30.491204 | 117 | 0.580571 |
24309dbed3bf83db60c7f4bbd23beda3a0aea947 | 1,008 | py | Python | clock.py | dr-rodriguez/MTA-Notifier | 0d09e14fc3dd5d58221dfad6d1c07889316f1419 | [
"MIT"
] | 1 | 2016-06-21T01:13:11.000Z | 2016-06-21T01:13:11.000Z | clock.py | dr-rodriguez/MTA-Notifier | 0d09e14fc3dd5d58221dfad6d1c07889316f1419 | [
"MIT"
] | null | null | null | clock.py | dr-rodriguez/MTA-Notifier | 0d09e14fc3dd5d58221dfad6d1c07889316f1419 | [
"MIT"
] | null | null | null | from apscheduler.schedulers.blocking import BlockingScheduler
import notifier
sched = BlockingScheduler()
# EDT/EST is 4/5 hours ahead of UTC, which is what Heroku runs in
# Morning check
@sched.scheduled_job('cron', day_of_week='mon-fri', hour=13, minute=55)
def scheduled_job_morning():
m = notifier.Notifier()
... | 28.8 | 117 | 0.709325 |
a4a952e3e3097e67e25ebca43016ce005d9bc9b7 | 20,687 | py | Python | toontown/hood/InteractiveAnimatedProp.py | LittleNed/toontown-stride | 1252a8f9a8816c1810106006d09c8bdfe6ad1e57 | [
"Apache-2.0"
] | 3 | 2020-01-02T08:43:36.000Z | 2020-07-05T08:59:02.000Z | toontown/hood/InteractiveAnimatedProp.py | NoraTT/Historical-Commits-Project-Altis-Source | fe88e6d07edf418f7de6ad5b3d9ecb3d0d285179 | [
"Apache-2.0"
] | null | null | null | toontown/hood/InteractiveAnimatedProp.py | NoraTT/Historical-Commits-Project-Altis-Source | fe88e6d07edf418f7de6ad5b3d9ecb3d0d285179 | [
"Apache-2.0"
] | 4 | 2019-06-20T23:45:23.000Z | 2020-10-14T20:30:15.000Z | import math
import random
from toontown.hood import GenericAnimatedProp
from direct.actor import Actor
from direct.interval.IntervalGlobal import Sequence, ActorInterval, Wait, Func, SoundInterval, Parallel
from direct.fsm import FSM
from toontown.toonbase.ToonPythonUtil import weightedChoice
from pandac.PandaModules i... | 40.964356 | 164 | 0.628414 |
855c088484c1b137a422f7e33813b256375aa8b9 | 4,793 | py | Python | Categolize/model_print.py | MuAuan/llightning-pytorch | 38dc9ed75dd8e6f4a2a05e5a10072a549dcbf4d6 | [
"MIT"
] | null | null | null | Categolize/model_print.py | MuAuan/llightning-pytorch | 38dc9ed75dd8e6f4a2a05e5a10072a549dcbf4d6 | [
"MIT"
] | null | null | null | Categolize/model_print.py | MuAuan/llightning-pytorch | 38dc9ed75dd8e6f4a2a05e5a10072a549dcbf4d6 | [
"MIT"
] | null | null | null | import torchvision.models as models
from torchsummary import summary
import torch
import pytorch_lightning as pl
from torch import nn
import torch.nn.functional as F
import numpy as np
import time
class customize_model(nn.Module):
def __init__(self, input_size=128, sel_model='resnet18'):
super(customize_model, s... | 37.155039 | 112 | 0.638014 |
5ca658cdf38f6589076c3aa018c0b0bd5ac565cf | 7,274 | py | Python | pinax/stripe/actions/accounts.py | proitm/pinax-stripe | c5b05f699fde6bd66cc633669604e5a6d1158d8a | [
"MIT"
] | 1 | 2021-08-17T15:12:02.000Z | 2021-08-17T15:12:02.000Z | pinax/stripe/actions/accounts.py | proitm/pinax-stripe | c5b05f699fde6bd66cc633669604e5a6d1158d8a | [
"MIT"
] | 114 | 2017-10-18T09:14:02.000Z | 2019-01-24T19:03:01.000Z | pinax/stripe/actions/accounts.py | proitm/pinax-stripe | c5b05f699fde6bd66cc633669604e5a6d1158d8a | [
"MIT"
] | 1 | 2017-10-20T08:13:09.000Z | 2017-10-20T08:13:09.000Z | import datetime
import stripe
from .. import models, utils
from .externalaccounts import sync_bank_account_from_stripe_data
def create(user, country, **kwargs):
"""
Create an Account.
Args:
country: two letter country code for where the individual lives
Returns:
a pinax.stripe.mode... | 32.185841 | 85 | 0.684905 |
62d183c8b3f6786b2d9d2769f9723a4f441b712c | 14,848 | py | Python | src/TheLanguage/Lexer/Phrases/SequencePhrase.py | davidbrownell/DavidBrownell_TheLanguage | 07170b448a0ebd7fa2325c9ccd4cefdb3cf7eb98 | [
"BSL-1.0"
] | null | null | null | src/TheLanguage/Lexer/Phrases/SequencePhrase.py | davidbrownell/DavidBrownell_TheLanguage | 07170b448a0ebd7fa2325c9ccd4cefdb3cf7eb98 | [
"BSL-1.0"
] | null | null | null | src/TheLanguage/Lexer/Phrases/SequencePhrase.py | davidbrownell/DavidBrownell_TheLanguage | 07170b448a0ebd7fa2325c9ccd4cefdb3cf7eb98 | [
"BSL-1.0"
] | 1 | 2021-06-18T18:58:57.000Z | 2021-06-18T18:58:57.000Z | # ----------------------------------------------------------------------
# |
# | SequencePhrase.py
# |
# | David Brownell <db@DavidBrownell.com>
# | 2021-09-22 23:06:38
# |
# ----------------------------------------------------------------------
# |
# | Copyright David Brownell 2021
# | Distributed u... | 38.268041 | 127 | 0.541083 |
80febbbe8fc30a072d757572ccbbd9d7d5d7c349 | 85,840 | py | Python | day16/data.py | ogun/advent-of-code-2020 | 1dcf268f9f1f6cd7c46d442b6aaa9b19ec5b2cf1 | [
"MIT"
] | 4 | 2020-12-03T13:22:12.000Z | 2020-12-22T21:51:49.000Z | day16/data.py | ogun/advent-of-code-2020 | 1dcf268f9f1f6cd7c46d442b6aaa9b19ec5b2cf1 | [
"MIT"
] | null | null | null | day16/data.py | ogun/advent-of-code-2020 | 1dcf268f9f1f6cd7c46d442b6aaa9b19ec5b2cf1 | [
"MIT"
] | 1 | 2020-12-12T13:41:12.000Z | 2020-12-12T13:41:12.000Z | INPUT = {
"rules": {
"departure location": ((32, 69), (86, 968)),
"departure station": ((27, 290), (301, 952)),
"departure platform": ((47, 330), (347, 956)),
"departure track": ((46, 804), (826, 956)),
"departure date": ((25, 302), (320, 959)),
"departure time": ((29... | 16.447595 | 54 | 0.166787 |
00f738e026d83670fe80cbcbcb9287d32787c171 | 8,730 | py | Python | ENV/lib/python3.6/site-packages/pyramid/tests/test_scripting.py | captain-c00keys/pyramid-stocks | 0acf3363a6a7ee61cd41b855f43c9d6f9582ae6a | [
"MIT"
] | null | null | null | ENV/lib/python3.6/site-packages/pyramid/tests/test_scripting.py | captain-c00keys/pyramid-stocks | 0acf3363a6a7ee61cd41b855f43c9d6f9582ae6a | [
"MIT"
] | null | null | null | ENV/lib/python3.6/site-packages/pyramid/tests/test_scripting.py | captain-c00keys/pyramid-stocks | 0acf3363a6a7ee61cd41b855f43c9d6f9582ae6a | [
"MIT"
] | null | null | null | import unittest
class Test_get_root(unittest.TestCase):
def _callFUT(self, app, request=None):
from pyramid.scripting import get_root
return get_root(app, request)
def _makeRegistry(self):
return DummyRegistry([DummyFactory])
def test_it_norequest(self):
registry = self._m... | 36.835443 | 78 | 0.646163 |
27d43766b4f7ebf477fcc21947fbbead64eabac7 | 7,762 | py | Python | blockchain_networking/blockchain_networking_env.py | TonnyTran/blockchain_networking_DRL | 3d3bbdfc0c12e2b770df1f6243578aa08b27d135 | [
"MIT"
] | 2 | 2021-06-21T08:28:33.000Z | 2021-11-01T13:37:21.000Z | blockchain_networking/blockchain_networking_env.py | TonnyTran/blockchain_networking_DRL | 3d3bbdfc0c12e2b770df1f6243578aa08b27d135 | [
"MIT"
] | null | null | null | blockchain_networking/blockchain_networking_env.py | TonnyTran/blockchain_networking_DRL | 3d3bbdfc0c12e2b770df1f6243578aa08b27d135 | [
"MIT"
] | 1 | 2019-08-02T01:13:14.000Z | 2019-08-02T01:13:14.000Z | import gym
from gym import spaces, logger
from gym.utils import seeding
import numpy as np
from action_space import ActionSpace
from channel_space import ChannelSpace
from state_space import StateSpace
from mempool import Mempool, Transaction, Block
from gym.spaces import Discrete
class BlockchainNetworkingEnv(gym.En... | 40.638743 | 119 | 0.614146 |
c01edadca16d3536c88cd8ba79f42d01e7e03668 | 4,590 | py | Python | lib/python3.8/site-packages/ansible_collections/community/general/plugins/modules/docker_node_info.py | cjsteel/python3-venv-ansible-2.10.5 | c95395c4cae844dc66fddde9b4343966f4b2ecd5 | [
"Apache-1.1"
] | 5 | 2020-12-16T21:42:09.000Z | 2022-03-28T16:04:32.000Z | .ansible/collections/ansible_collections/community/general/plugins/modules/cloud/docker/docker_node_info.py | chronicc/proving-ground | 3e392122a05fb8383a3700954baebb0df330e9e3 | [
"MIT"
] | null | null | null | .ansible/collections/ansible_collections/community/general/plugins/modules/cloud/docker/docker_node_info.py | chronicc/proving-ground | 3e392122a05fb8383a3700954baebb0df330e9e3 | [
"MIT"
] | null | null | null | #!/usr/bin/python
#
# (c) 2019 Piotr Wojciechowski <piotr@it-playground.pl>
# 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: docker_node_info
short_descri... | 29.235669 | 159 | 0.701961 |
54a635a7ad8ddcb1db64f061a7ad746fb5238122 | 10,632 | py | Python | qcdb/programs/nwchem/runner.py | philipmnel/qcdb | 68e04b269559d76c40fd7d02235f6fd83824db4c | [
"BSD-3-Clause"
] | null | null | null | qcdb/programs/nwchem/runner.py | philipmnel/qcdb | 68e04b269559d76c40fd7d02235f6fd83824db4c | [
"BSD-3-Clause"
] | null | null | null | qcdb/programs/nwchem/runner.py | philipmnel/qcdb | 68e04b269559d76c40fd7d02235f6fd83824db4c | [
"BSD-3-Clause"
] | null | null | null | import copy
import inspect
import pprint
import re
from typing import Any, Dict, Optional
import qcelemental as qcel
import qcengine as qcng
from qcelemental.models import AtomicInput, AtomicResult, FailedOperation
from qcengine.exceptions import InputError
from qcengine.programs.nwchem import NWChemHarness
from qceng... | 43.753086 | 154 | 0.623119 |
0d53971e8ce8d94804b58153006be73c7cc5ce8b | 46 | py | Python | python/testData/editing/firstParamStaticmethod.after.py | jnthn/intellij-community | 8fa7c8a3ace62400c838e0d5926a7be106aa8557 | [
"Apache-2.0"
] | 2 | 2019-04-28T07:48:50.000Z | 2020-12-11T14:18:08.000Z | python/testData/editing/firstParamStaticmethod.after.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 173 | 2018-07-05T13:59:39.000Z | 2018-08-09T01:12:03.000Z | python/testData/editing/firstParamStaticmethod.after.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 2 | 2020-03-15T08:57:37.000Z | 2020-04-07T04:48:14.000Z | class A(object):
@staticmethod
def foo():
| 11.5 | 16 | 0.652174 |
160a1e2989718eb71420de44d2e60b53ae954bc8 | 39,244 | py | Python | lpot/model/model.py | PawelGlomski-Intel/lpot | ccdb6aec0a95a66b2c747f92a34018e78a91b459 | [
"Apache-2.0"
] | null | null | null | lpot/model/model.py | PawelGlomski-Intel/lpot | ccdb6aec0a95a66b2c747f92a34018e78a91b459 | [
"Apache-2.0"
] | null | null | null | lpot/model/model.py | PawelGlomski-Intel/lpot | ccdb6aec0a95a66b2c747f92a34018e78a91b459 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2021 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unl... | 39.362086 | 98 | 0.657859 |
e9a8170337dcf24b8a1b9fe16807ccc9b6ceeb35 | 1,986 | py | Python | fsuipc_airspaces/fsuipc_airspaces.py | tjensen/fsuipc-airspaces | 40100e1b88548350445818a7debd6f26d94f92ad | [
"MIT"
] | null | null | null | fsuipc_airspaces/fsuipc_airspaces.py | tjensen/fsuipc-airspaces | 40100e1b88548350445818a7debd6f26d94f92ad | [
"MIT"
] | null | null | null | fsuipc_airspaces/fsuipc_airspaces.py | tjensen/fsuipc-airspaces | 40100e1b88548350445818a7debd6f26d94f92ad | [
"MIT"
] | null | null | null | import argparse
import logging
import sys
import time
from typing import Union
import fsuipc
from fsuipc_airspaces.fs_position import FSPosition
from fsuipc_airspaces.gps_position import GPSPosition
from fsuipc_airspaces.simulator_connection import SimulatorConnection
from fsuipc_airspaces.xplane_dataout import XPlan... | 31.03125 | 87 | 0.638973 |
bebb2e03c59bada7c05804ca96706fdcaaface21 | 15,163 | py | Python | qa/rpc-tests/rest.py | mattt21/zcoin | 730f0c39ba47f762627f13a1e9ea66d76b57a57d | [
"MIT"
] | 17 | 2020-03-21T21:03:31.000Z | 2021-04-07T18:45:38.000Z | qa/rpc-tests/rest.py | mattt21/zcoin | 730f0c39ba47f762627f13a1e9ea66d76b57a57d | [
"MIT"
] | 8 | 2020-04-05T19:14:44.000Z | 2020-05-22T04:15:31.000Z | qa/rpc-tests/rest.py | mattt21/zcoin | 730f0c39ba47f762627f13a1e9ea66d76b57a57d | [
"MIT"
] | 19 | 2020-03-04T19:32:03.000Z | 2021-11-16T04:27:14.000Z | #!/usr/bin/env python3
# Copyright (c) 2014-2016 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
#
# Test REST interface
#
from test_framework.test_framework import BitcoinTestFramework
from test_fram... | 45.127976 | 132 | 0.642419 |
9afd9b0d7afc637b94e1467881067432a844c938 | 3,406 | py | Python | build/lib.linux-x86_64-2.7/timediff/log_parser.py | nomelif/time-diff | cc713399166d278855004b38e4911c2a07ed478f | [
"MIT"
] | 2 | 2016-04-08T20:14:31.000Z | 2019-11-19T12:23:35.000Z | timediff/log_parser.py | nomelif/time-diff | cc713399166d278855004b38e4911c2a07ed478f | [
"MIT"
] | null | null | null | timediff/log_parser.py | nomelif/time-diff | cc713399166d278855004b38e4911c2a07ed478f | [
"MIT"
] | null | null | null | import time
import datetime
class LogParser():
"""
Class used to parse logs.
"""
first_time = None
"""
Time of the first line.
"""
previous_time = None
"""
Time of the previous line.
"""
def __init__(self):
"""
Empty _\_\_init\_\__ -method.
"""
pass
def parse_logs(self, log_arr, time_format,... | 29.877193 | 181 | 0.716089 |
5bffa9503299df63c16cc695e9a1089155148451 | 851 | py | Python | 2d/rotation_around_circle.py | TheEnvironmentGuy/math-magical | 4c186d992aad76efabe3ea3319ecf602eacebfe2 | [
"MIT"
] | null | null | null | 2d/rotation_around_circle.py | TheEnvironmentGuy/math-magical | 4c186d992aad76efabe3ea3319ecf602eacebfe2 | [
"MIT"
] | null | null | null | 2d/rotation_around_circle.py | TheEnvironmentGuy/math-magical | 4c186d992aad76efabe3ea3319ecf602eacebfe2 | [
"MIT"
] | null | null | null | import bpy
import math
"""Moves selected object to predefined xyz"""
def reset_pos():
bpy.context.object.location[0] = 0
bpy.context.object.location[1] = 0
bpy.context.object.location[2] = 0
"""Returns Vector2 around a circle given an angle assuming radius of 1"""
def rotate_pos(radian):
rotated_pos =... | 27.451613 | 73 | 0.676851 |
52c8dfc11d2952c5a9fba70fdc21b3a23a7947d0 | 69,435 | py | Python | packages/python/plotly/plotly/graph_objs/bar/marker/_colorbar.py | eranws/plotly.py | 5b0e8d3ccab55fe1a6e4ba123cfc9d718a9ffc5a | [
"MIT"
] | null | null | null | packages/python/plotly/plotly/graph_objs/bar/marker/_colorbar.py | eranws/plotly.py | 5b0e8d3ccab55fe1a6e4ba123cfc9d718a9ffc5a | [
"MIT"
] | null | null | null | packages/python/plotly/plotly/graph_objs/bar/marker/_colorbar.py | eranws/plotly.py | 5b0e8d3ccab55fe1a6e4ba123cfc9d718a9ffc5a | [
"MIT"
] | null | null | null | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class ColorBar(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "bar.marker"
_path_str = "bar.marker.colorbar"
_valid_props = {
"bgcolor",
... | 35.791237 | 96 | 0.557226 |
3038e961f6b4cbdda47d04931a05e7382246b269 | 1,158 | py | Python | social_core/tests/backends/test_broken.py | odidev/social-core | 71b76511f0b92e4bcba60dc61d9b982bd53c5d5e | [
"BSD-3-Clause"
] | 2 | 2020-10-08T05:44:30.000Z | 2021-01-02T02:41:13.000Z | social_core/tests/backends/test_broken.py | odidev/social-core | 71b76511f0b92e4bcba60dc61d9b982bd53c5d5e | [
"BSD-3-Clause"
] | 6 | 2021-03-30T13:54:46.000Z | 2021-09-22T19:23:39.000Z | virtual/lib/python3.6/site-packages/social_core/tests/backends/test_broken.py | dennismwaniki67/awards | 80ed10541f5f751aee5f8285ab1ad54cfecba95f | [
"MIT"
] | 3 | 2020-07-27T16:44:41.000Z | 2020-09-03T15:26:22.000Z | import unittest2 as unittest
from ...backends.base import BaseAuth
from ..strategy import TestStrategy
from ..models import TestStorage
class BrokenBackendAuth(BaseAuth):
name = 'broken'
class BrokenBackendTest(unittest.TestCase):
def setUp(self):
self.backend = BrokenBackendAuth(TestStrategy(TestS... | 30.473684 | 67 | 0.624352 |
c71d65d22bd8802bbeb51cc1f67d7819f61b924b | 1,057 | py | Python | tests/test_py_count.py | fossabot/blaze | 3ea4a15de9bfc5211dfeaa6e5e4cdd5928eb2887 | [
"MIT"
] | null | null | null | tests/test_py_count.py | fossabot/blaze | 3ea4a15de9bfc5211dfeaa6e5e4cdd5928eb2887 | [
"MIT"
] | null | null | null | tests/test_py_count.py | fossabot/blaze | 3ea4a15de9bfc5211dfeaa6e5e4cdd5928eb2887 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from __init__ import *
import random
def test_count_10(benchmark):
sample = generate_random_sample()
choice = random.choice(ASCII)
benchmark(py_str_count, sample, choice)
def test_count_100(benchmark):
sample = generate_random_sample(length=100)
choice = random.choice(ASCII... | 26.425 | 51 | 0.748344 |
f99ec5fb647923106bf853d341e97a63e6edc37f | 4,296 | py | Python | utils/loader.py | netceteragroup/Flatland-Challenge | 4292e8aa778d264d025ad6d32926840864b22a21 | [
"MIT"
] | 4 | 2021-01-15T10:49:33.000Z | 2021-12-31T08:11:35.000Z | utils/loader.py | netceteragroup/Flatland-Challenge | 4292e8aa778d264d025ad6d32926840864b22a21 | [
"MIT"
] | null | null | null | utils/loader.py | netceteragroup/Flatland-Challenge | 4292e8aa778d264d025ad6d32926840864b22a21 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import glob
import importlib.machinery
import os
import types
import gym
import humps
from ray.rllib import MultiAgentEnv
from ray.rllib.models import ModelCatalog
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.models.tf.tf_modelv2 import TFModelV2
from ray.rllib.models.tf.attention... | 31.357664 | 93 | 0.621276 |
809f90c0aaa247fd0ef718bf0d1a066cb18ac779 | 213 | py | Python | syphon/init/__init__.py | ethall/syphon | dd75fd33f3f9164653f24b33c875615dc1d04182 | [
"MIT"
] | null | null | null | syphon/init/__init__.py | ethall/syphon | dd75fd33f3f9164653f24b33c875615dc1d04182 | [
"MIT"
] | 23 | 2018-01-06T17:59:58.000Z | 2019-02-27T15:52:20.000Z | syphon/init/__init__.py | ethall/syphon | dd75fd33f3f9164653f24b33c875615dc1d04182 | [
"MIT"
] | 1 | 2019-02-20T17:17:40.000Z | 2019-02-20T17:17:40.000Z | """syphon.init.__init__.py
Copyright (c) 2017-2018 Keithley Instruments, LLC.
Licensed under MIT (https://github.com/ehall/syphon/blob/master/LICENSE)
"""
from .init import init
__all__ = [
'init',
]
| 17.75 | 75 | 0.690141 |
2c9d4c472c89c2ec7ab2e54b31ed6f7e0f69d394 | 95 | py | Python | thesite/accalascio/apps.py | ValentinaTibs/accalascio | 984776d230f6760c6661bd47f1d6ad6e1b2f7f6f | [
"MIT"
] | null | null | null | thesite/accalascio/apps.py | ValentinaTibs/accalascio | 984776d230f6760c6661bd47f1d6ad6e1b2f7f6f | [
"MIT"
] | null | null | null | thesite/accalascio/apps.py | ValentinaTibs/accalascio | 984776d230f6760c6661bd47f1d6ad6e1b2f7f6f | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class AccalascioConfig(AppConfig):
name = 'accalascio'
| 15.833333 | 34 | 0.768421 |
8f8a16386afb4581439e584f5b14cee4272fc821 | 1,039 | py | Python | src/two_counters.py | plug-obp/plug-remote-python | 9b57989e3536b34fbbd7d6cafbc674ff6f4686eb | [
"MIT"
] | null | null | null | src/two_counters.py | plug-obp/plug-remote-python | 9b57989e3536b34fbbd7d6cafbc674ff6f4686eb | [
"MIT"
] | null | null | null | src/two_counters.py | plug-obp/plug-remote-python | 9b57989e3536b34fbbd7d6cafbc674ff6f4686eb | [
"MIT"
] | 1 | 2020-01-28T13:44:52.000Z | 2020-01-28T13:44:52.000Z | import functools
from soup_language import *
from language_server import server
def two_counters(max=1):
# create the two actions
def inc(key, env):
env[key] = env[key] + 1
def reset(key, env):
env[key] = 0
# define the guard/action behaviors
i0 = Behavior(lambda env: env['a'] < ... | 30.558824 | 88 | 0.639076 |
fb5e484626aa8ddf6b77732e89a0e226e9b9bacd | 391 | py | Python | cookery/cookery/wsgi.py | drewbrew/django-cookery | 03183c8a7ea46aaf0daddb010ee08491fe7f21cc | [
"MIT"
] | 4 | 2016-06-08T07:58:18.000Z | 2021-02-20T12:37:56.000Z | cookery/cookery/wsgi.py | drewbrew/django-cookery | 03183c8a7ea46aaf0daddb010ee08491fe7f21cc | [
"MIT"
] | null | null | null | cookery/cookery/wsgi.py | drewbrew/django-cookery | 03183c8a7ea46aaf0daddb010ee08491fe7f21cc | [
"MIT"
] | 1 | 2019-04-06T01:39:50.000Z | 2019-04-06T01:39:50.000Z | """
WSGI config for cookery 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/1.9/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_SETTI... | 23 | 78 | 0.785166 |
fd3bfda21ed75bda5bdacea619f06d9905664ca9 | 1,098 | py | Python | pipeline/contrib/external_plugins/utils/importer/__init__.py | wkma/bk-sops | 8fb5609c0c4495c28d588fbafa9d9f5f2976929b | [
"Apache-2.0"
] | 55 | 2021-09-07T11:50:35.000Z | 2022-03-23T13:19:38.000Z | pipeline/contrib/external_plugins/utils/importer/__init__.py | wkma/bk-sops | 8fb5609c0c4495c28d588fbafa9d9f5f2976929b | [
"Apache-2.0"
] | 64 | 2021-09-07T12:04:12.000Z | 2022-03-29T03:47:18.000Z | pipeline/contrib/external_plugins/utils/importer/__init__.py | wkma/bk-sops | 8fb5609c0c4495c28d588fbafa9d9f5f2976929b | [
"Apache-2.0"
] | 20 | 2021-09-07T11:52:08.000Z | 2022-03-28T08:05:22.000Z | # -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community
Edition) available.
Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in co... | 61 | 115 | 0.810565 |
08cd979a029d2ed9253d71a7c1be6f006d044c62 | 2,219 | py | Python | mydata/mydata/settings.py | jdkizer9/cs5555Lab2 | 30e325ef77c66aed49e61f167ce2750cebc44396 | [
"MIT"
] | null | null | null | mydata/mydata/settings.py | jdkizer9/cs5555Lab2 | 30e325ef77c66aed49e61f167ce2750cebc44396 | [
"MIT"
] | null | null | null | mydata/mydata/settings.py | jdkizer9/cs5555Lab2 | 30e325ef77c66aed49e61f167ce2750cebc44396 | [
"MIT"
] | null | null | null | """
Django settings for mydata project.
For more information on this file, see
https://docs.djangoproject.com/en/1.7/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.7/ref/settings/
"""
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
imp... | 23.357895 | 71 | 0.725552 |
8acecf552512ed95d77fa892c3d1339c59e35c66 | 550 | py | Python | plotly/validators/scatterternary/marker/colorbar/tickformatstop/_templateitemname.py | gnestor/plotly.py | a8ae062795ddbf9867b8578fe6d9e244948c15ff | [
"MIT"
] | 12 | 2020-04-18T18:10:22.000Z | 2021-12-06T10:11:15.000Z | plotly/validators/scatterternary/marker/colorbar/tickformatstop/_templateitemname.py | Vesauza/plotly.py | e53e626d59495d440341751f60aeff73ff365c28 | [
"MIT"
] | 27 | 2020-04-28T21:23:12.000Z | 2021-06-25T15:36:38.000Z | plotly/validators/scatterternary/marker/colorbar/tickformatstop/_templateitemname.py | Vesauza/plotly.py | e53e626d59495d440341751f60aeff73ff365c28 | [
"MIT"
] | 6 | 2020-04-18T23:07:08.000Z | 2021-11-18T07:53:06.000Z | import _plotly_utils.basevalidators
class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name='templateitemname',
parent_name='scatterternary.marker.colorbar.tickformatstop',
**kwargs
):
super(TemplateitemnameValidat... | 28.947368 | 78 | 0.645455 |
1e02c74f2c3bf4d2f0eddc2ac9909c7c44f12548 | 7,084 | py | Python | common/migrations/0048_auto_20170111_1744.py | baylee-d/cos.io | 3f88acb0feb7a167bf9e81c42e28f9d2d38bbd43 | [
"Apache-2.0"
] | null | null | null | common/migrations/0048_auto_20170111_1744.py | baylee-d/cos.io | 3f88acb0feb7a167bf9e81c42e28f9d2d38bbd43 | [
"Apache-2.0"
] | null | null | null | common/migrations/0048_auto_20170111_1744.py | baylee-d/cos.io | 3f88acb0feb7a167bf9e81c42e28f9d2d38bbd43 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10.2 on 2017-01-11 17:44
from __future__ import unicode_literals
import common.blocks.collapsebox
import common.blocks.columns
import common.blocks.table
import common.blocks.tabs
from django.db import migrations
import wagtail.wagtailcore.blocks
import wagtail.wagtailco... | 244.275862 | 6,432 | 0.756211 |
42bb860262587161bdc5068005b4891cde427d7a | 1,563 | py | Python | hashdd/decompressor/formats/compression.py | hashdd/pyhashdd | 938366a8c1ff26e074c419d71b09d592730940e9 | [
"Apache-2.0",
"BSD-3-Clause"
] | 20 | 2017-02-22T11:32:24.000Z | 2019-11-25T18:51:41.000Z | hashdd/decompressor/formats/compression.py | hashdd/pyhashdd | 938366a8c1ff26e074c419d71b09d592730940e9 | [
"Apache-2.0",
"BSD-3-Clause"
] | 11 | 2017-02-24T15:18:15.000Z | 2022-01-13T00:41:29.000Z | hashdd/decompressor/formats/compression.py | hashdd/pyhashdd | 938366a8c1ff26e074c419d71b09d592730940e9 | [
"Apache-2.0",
"BSD-3-Clause"
] | 4 | 2017-02-22T14:42:52.000Z | 2017-11-26T21:24:04.000Z | """
Originally from https://stackoverflow.com/questions/13044562/python-mechanism-to-identify-compressed-file-type-and-uncompress
"""
class CompressedFile (object):
magic = None
file_type = None
mime_type = None
proper_extension = None
def __init__(self, f):
# f is an open file or file like... | 22.652174 | 125 | 0.644914 |
a05718fbc6b0a448ea1b5b769ae5e98890398ea5 | 250 | py | Python | src/tensor/set/_op/cumdiff.py | jedhsu/tensor | 3b2fe21029fa7c50b034190e77d79d1a94ea5e8f | [
"Apache-2.0"
] | null | null | null | src/tensor/set/_op/cumdiff.py | jedhsu/tensor | 3b2fe21029fa7c50b034190e77d79d1a94ea5e8f | [
"Apache-2.0"
] | null | null | null | src/tensor/set/_op/cumdiff.py | jedhsu/tensor | 3b2fe21029fa7c50b034190e77d79d1a94ea5e8f | [
"Apache-2.0"
] | null | null | null | """
*Cumulative Difference*
"""
from dataclasses import dataclass
import jax.numpy as jnp
from ._operator import SetOperator
__all__ = ["OuterProduct"]
@dataclass
class CumulativeDifference(
SetOperator,
):
operator = jnp.ediff1d
| 11.904762 | 34 | 0.724 |
8c39e8b7fb37b871eb2e165b0cbd84b395b07db8 | 3,369 | py | Python | pytorch_metric_learning/losses/base_metric_loss_function.py | jacobdanovitch/pytorch_metric_learning | dbcf2d49fffe92f7dc1221b939e182c214633520 | [
"MIT"
] | 1 | 2021-05-18T01:51:04.000Z | 2021-05-18T01:51:04.000Z | pytorch_metric_learning/losses/base_metric_loss_function.py | xianhuaxizi/pytorch_metric_learning | dbcf2d49fffe92f7dc1221b939e182c214633520 | [
"MIT"
] | null | null | null | pytorch_metric_learning/losses/base_metric_loss_function.py | xianhuaxizi/pytorch_metric_learning | dbcf2d49fffe92f7dc1221b939e182c214633520 | [
"MIT"
] | 1 | 2021-05-18T01:51:00.000Z | 2021-05-18T01:51:00.000Z | #! /usr/bin/env python3
import torch
class BaseMetricLossFunction(torch.nn.Module):
"""
All loss functions extend this class
Args:
normalize_embeddings: type boolean. If True then normalize embeddins
to have norm = 1 before computing the loss
num_class_per_... | 39.635294 | 90 | 0.630454 |
b3adcedf73742b054aab97713057d5eafdac1864 | 1,237 | py | Python | test/functional/p2p-mempool.py | kenfmcoin/kenfmcoin | 1fa48487593233f2066757dc54f48b2349e2d9db | [
"MIT"
] | null | null | null | test/functional/p2p-mempool.py | kenfmcoin/kenfmcoin | 1fa48487593233f2066757dc54f48b2349e2d9db | [
"MIT"
] | null | null | null | test/functional/p2p-mempool.py | kenfmcoin/kenfmcoin | 1fa48487593233f2066757dc54f48b2349e2d9db | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2015-2016 The KenFMcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test p2p mempool message.
Test that nodes are disconnected if they send mempool messages when bloom
... | 32.552632 | 75 | 0.708165 |
6e15ae81f4eb0dab4ccee8cbdcda1d50e356ddc4 | 3,737 | py | Python | agentnet/utils/format.py | mraihan19/AgentNet | 240b7ac351d5c7a156a6c9c25432d5a7afffe3cc | [
"MIT"
] | 337 | 2016-04-20T09:34:06.000Z | 2022-03-23T10:09:15.000Z | agentnet/utils/format.py | mraihan19/AgentNet | 240b7ac351d5c7a156a6c9c25432d5a7afffe3cc | [
"MIT"
] | 58 | 2016-04-04T10:21:10.000Z | 2017-08-09T07:47:37.000Z | agentnet/utils/format.py | justheuristic/AgentNet | c28b99f11eb5d1c9080c2368f387b2cc4942adc3 | [
"MIT"
] | 88 | 2016-04-28T01:18:11.000Z | 2021-12-05T02:48:28.000Z | """
A few auxiliary methods that work with supported collection formats.
Used widely within AgentNet.
"""
from collections import OrderedDict
from ..utils.logging import warn
import lasagne
import numpy as np
def is_layer(var):
"""checks if var is lasagne layer"""
return isinstance(var, lasagne.layers.Layer... | 33.972727 | 117 | 0.657212 |
010649af14ae05ff629848a435fd45067a963449 | 1,786 | py | Python | donkeycar/parts/ultrasonic.py | rwickman/ARC | 8e5f76d6480b1844b133cec61beca891df5b37b0 | [
"MIT"
] | null | null | null | donkeycar/parts/ultrasonic.py | rwickman/ARC | 8e5f76d6480b1844b133cec61beca891df5b37b0 | [
"MIT"
] | null | null | null | donkeycar/parts/ultrasonic.py | rwickman/ARC | 8e5f76d6480b1844b133cec61beca891df5b37b0 | [
"MIT"
] | null | null | null | import RPi.GPIO as GPIO
import time
GPIO_TRIGGER = 23
GPIO_ECHO = 24
GPIO.setmode(GPIO.BCM)
GPIO.setup(GPIO_TRIGGER, GPIO.OUT)
GPIO.setup(GPIO_ECHO, GPIO.IN)
class Ultrasonic:
def __init__(self, n = 10):
self.ultrasonic_sensor_wait = 0.025
self.n = n
self.distance = 0
self.on = T... | 30.271186 | 128 | 0.592945 |
e663db6cb6fc3ee9cc7f7953851e022bc38bce79 | 14,042 | py | Python | Scripts/PY_Files/ServerMain.py | OuNiSang/ELEC490Project | 545b3afd4c193c1da04df02aadc82568021fa56f | [
"MIT"
] | null | null | null | Scripts/PY_Files/ServerMain.py | OuNiSang/ELEC490Project | 545b3afd4c193c1da04df02aadc82568021fa56f | [
"MIT"
] | null | null | null | Scripts/PY_Files/ServerMain.py | OuNiSang/ELEC490Project | 545b3afd4c193c1da04df02aadc82568021fa56f | [
"MIT"
] | null | null | null | import sys
import cv2 as cv
from cv2 import isContourConvex
import numpy as np
import time
import threading
from PyQt5.QtCore import Qt, QThread, pyqtSignal,QDateTime,QMutex,QStringListModel
from PyQt5.QtGui import QIcon,QImage,QPixmap
from PyQt5.QtWidgets import QDialog, QApplication, Q... | 37.148148 | 150 | 0.543726 |
ca3d65b4cfbb24d26238259061ab669bb952aa95 | 2,753 | py | Python | kbs/ApiManager.py | MarcoFavorito/knowledge-based-telegram-bot | a6369856f9d40e288cccf99ac8ee62ff382a8fd3 | [
"MIT"
] | null | null | null | kbs/ApiManager.py | MarcoFavorito/knowledge-based-telegram-bot | a6369856f9d40e288cccf99ac8ee62ff382a8fd3 | [
"MIT"
] | null | null | null | kbs/ApiManager.py | MarcoFavorito/knowledge-based-telegram-bot | a6369856f9d40e288cccf99ac8ee62ff382a8fd3 | [
"MIT"
] | null | null | null | import sys
from enum import Enum
import requests
from typing import List
from kbs.models import *
class ApiManager(object):
"""
The API Manager. It simply implements the interface for interact with the KB
"""
class Method(Enum):
GET = 1
POST = 2
def __init__(self, key, prot, host... | 30.252747 | 109 | 0.598983 |
24f79492c286edd64f1064f527cfb496b8949b16 | 18,275 | py | Python | allennlp/models/model.py | parus-proj/allennlp | 42f6e030f7287d6521bbc3c883a8cbfbf15f806a | [
"Apache-2.0"
] | null | null | null | allennlp/models/model.py | parus-proj/allennlp | 42f6e030f7287d6521bbc3c883a8cbfbf15f806a | [
"Apache-2.0"
] | null | null | null | allennlp/models/model.py | parus-proj/allennlp | 42f6e030f7287d6521bbc3c883a8cbfbf15f806a | [
"Apache-2.0"
] | 1 | 2020-03-01T13:01:34.000Z | 2020-03-01T13:01:34.000Z | """
`Model` is an abstract class representing
an AllenNLP model.
"""
import logging
import os
from typing import Dict, Union, List, Set, Type
import numpy
import torch
from allennlp.common.checks import ConfigurationError
from allennlp.common.params import Params
from allennlp.common.registrable import Registrable
f... | 45.573566 | 108 | 0.662763 |
22905dcc621df527889191f7386113bfb66ff548 | 1,850 | py | Python | mnist_try.py | maxdylan/TensorTest | 5de318c2b686a3094b33b455253b04dcfff3c6c9 | [
"Apache-2.0"
] | null | null | null | mnist_try.py | maxdylan/TensorTest | 5de318c2b686a3094b33b455253b04dcfff3c6c9 | [
"Apache-2.0"
] | null | null | null | mnist_try.py | maxdylan/TensorTest | 5de318c2b686a3094b33b455253b04dcfff3c6c9 | [
"Apache-2.0"
] | null | null | null | #init mnist data and this step is very import for us
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("./MNIST_data/",one_hot=True)
# realize the model of softmax that match mnist, but why the model use this realization is a question for me.
import tensorflow as tf
x=tf.pla... | 37 | 173 | 0.762162 |
b13076f037ec30986dc1aa85c798f662790e3a23 | 19,235 | py | Python | tests/eth2/core/beacon/conftest.py | onyb/trinity | 347e2beac23c5c1bb4aab136bb44c162467f6ff7 | [
"MIT"
] | null | null | null | tests/eth2/core/beacon/conftest.py | onyb/trinity | 347e2beac23c5c1bb4aab136bb44c162467f6ff7 | [
"MIT"
] | null | null | null | tests/eth2/core/beacon/conftest.py | onyb/trinity | 347e2beac23c5c1bb4aab136bb44c162467f6ff7 | [
"MIT"
] | null | null | null | from eth.constants import ZERO_HASH32
from eth_typing import BLSPubkey
import pytest
from ssz.hashable_list import HashableList
from ssz.sedes import List, uint64
from eth2.beacon.constants import (
DEPOSIT_CONTRACT_TREE_DEPTH,
FAR_FUTURE_EPOCH,
GWEI_PER_ETH,
JUSTIFICATION_BITS_LENGTH,
)
from eth2.beac... | 27.283688 | 88 | 0.755394 |
bbec155468d76bdb996904418e868746bd95c799 | 8,938 | py | Python | dockeroo/utils.py | dockeroo/dockeroo | 6395b4008d0d3d6cabdfec9d52ce448b095fdae1 | [
"Apache-2.0"
] | 4 | 2016-07-25T09:21:32.000Z | 2022-02-11T19:11:23.000Z | dockeroo/utils.py | dockeroo/dockeroo | 6395b4008d0d3d6cabdfec9d52ce448b095fdae1 | [
"Apache-2.0"
] | null | null | null | dockeroo/utils.py | dockeroo/dockeroo | 6395b4008d0d3d6cabdfec9d52ce448b095fdae1 | [
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
#
# Copyright (c) 2016, Giacomo Cariello. 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
#
# Un... | 30.714777 | 84 | 0.60584 |
222ec9f5e2757b374185715f53a7233f6c5733ca | 1,052 | py | Python | pal/runner/armv8a_external_runner.py | mars-research/pal | 5977394cda8750ff5dcb89c2bf193ec1ef4cd137 | [
"MIT"
] | 26 | 2020-01-06T23:53:17.000Z | 2022-02-01T08:58:21.000Z | pal/runner/armv8a_external_runner.py | mars-research/pal | 5977394cda8750ff5dcb89c2bf193ec1ef4cd137 | [
"MIT"
] | 30 | 2019-11-13T00:55:22.000Z | 2022-01-06T08:09:35.000Z | pal/runner/armv8a_external_runner.py | mars-research/pal | 5977394cda8750ff5dcb89c2bf193ec1ef4cd137 | [
"MIT"
] | 14 | 2019-11-15T16:56:22.000Z | 2021-12-22T10:14:17.000Z | import os
import copy
from pal.runner.abstract_runner import AbstractRunner
from pal.parser import parse_registers
from pal.parser import parse_instructions
class Armv8aExternalRunner(AbstractRunner):
def run(self, generators):
input_root = self.config.pal_data_dir
output_root = self.config.pal_ou... | 37.571429 | 74 | 0.657795 |
a88fc2a65ec151d6cddd54e0da4d279a39a25401 | 3,777 | py | Python | scripts/list_orphan_snapshots.py | base2Services/alfajor | a88698901264ac041a418110b72de09c69253b54 | [
"MIT"
] | 2 | 2015-08-28T05:44:00.000Z | 2017-07-12T00:58:54.000Z | scripts/list_orphan_snapshots.py | base2Services/alfajor | a88698901264ac041a418110b72de09c69253b54 | [
"MIT"
] | 1 | 2016-06-21T03:38:12.000Z | 2016-06-21T03:40:31.000Z | scripts/list_orphan_snapshots.py | base2Services/alfajor | a88698901264ac041a418110b72de09c69253b54 | [
"MIT"
] | 11 | 2015-11-27T02:49:13.000Z | 2020-05-01T03:47:14.000Z | import sys
import re
import boto
import os
from datetime import date
sys.path.append("alfajor")
from alfajor import aws_ec2
account = "default"
if len(sys.argv) > 1:
account = sys.argv[1]
ec2 = aws_ec2.EC2(debug = True, verbose = True, account = account)
reAmi = re.compile('ami-[^ ]+')
reVol = re.compile('vol-[^ ]... | 33.424779 | 139 | 0.616892 |
11a0f6afcec446aff8cca2d972b9c7c2c2677cfd | 2,814 | py | Python | scripts/go_egad.py | jhover/cshlwork | d1b6c039c8438a9ec4a5b4e28c9b7a6d13502fcd | [
"BSD-3-Clause"
] | null | null | null | scripts/go_egad.py | jhover/cshlwork | d1b6c039c8438a9ec4a5b4e28c9b7a6d13502fcd | [
"BSD-3-Clause"
] | null | null | null | scripts/go_egad.py | jhover/cshlwork | d1b6c039c8438a9ec4a5b4e28c9b7a6d13502fcd | [
"BSD-3-Clause"
] | null | null | null | #! /usr/bin/env python
import argparse
import logging
import os
import sys
gitpath=os.path.expanduser("~/git/cshlwork")
sys.path.append(gitpath)
from utils.cococonet import *
gitpath=os.path.expanduser("~/git/pyEGAD")
sys.path.append(gitpath)
from egad.egad import *
SPECIES_NET=os.path.expanduser('~/data/cococonet/n... | 30.923077 | 109 | 0.584932 |
af68500b9ff8dd342e1ab43e7708f22fc360e121 | 32,757 | py | Python | web3/_utils/module_testing/eth_module.py | egalano/web3.py | 9e63d1885ad2f56cf2c434f7bb016b5e07a638e0 | [
"MIT"
] | null | null | null | web3/_utils/module_testing/eth_module.py | egalano/web3.py | 9e63d1885ad2f56cf2c434f7bb016b5e07a638e0 | [
"MIT"
] | null | null | null | web3/_utils/module_testing/eth_module.py | egalano/web3.py | 9e63d1885ad2f56cf2c434f7bb016b5e07a638e0 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import pytest
from eth_abi import (
decode_single,
)
from eth_utils import (
is_boolean,
is_bytes,
is_checksum_address,
is_dict,
is_integer,
is_list_like,
is_same_address,
is_string,
)
from hexbytes import (
HexBytes,
)
from web3.exceptions import (
... | 38.628538 | 239 | 0.638917 |
4870fa8344ed595430a91de7164513b36ca887f0 | 8,357 | py | Python | mypy/test/testsemanal.py | wkhere/mypy | 8b47a773e783a5186210e49438ca774c717fcba6 | [
"PSF-2.0"
] | null | null | null | mypy/test/testsemanal.py | wkhere/mypy | 8b47a773e783a5186210e49438ca774c717fcba6 | [
"PSF-2.0"
] | null | null | null | mypy/test/testsemanal.py | wkhere/mypy | 8b47a773e783a5186210e49438ca774c717fcba6 | [
"PSF-2.0"
] | 1 | 2020-03-24T05:28:58.000Z | 2020-03-24T05:28:58.000Z | """Semantic analyzer test cases"""
import os.path
from typing import Dict, List
from mypy import build
from mypy.build import BuildSource
from mypy.myunit import Suite
from mypy.test.helpers import (
assert_string_arrays_equal, normalize_error_messages, testfile_pyversion,
)
from mypy.test.data import parse_test... | 37.142222 | 90 | 0.559292 |
73a1fc3b0c1dfffe3b7fbb12aa630a25f5ca36c7 | 21,729 | py | Python | mains/main_gerste2.py | Janik135/AttentionDeepMIL | 03609a56a6527b9cab666d07037b0513be682577 | [
"MIT"
] | null | null | null | mains/main_gerste2.py | Janik135/AttentionDeepMIL | 03609a56a6527b9cab666d07037b0513be682577 | [
"MIT"
] | null | null | null | mains/main_gerste2.py | Janik135/AttentionDeepMIL | 03609a56a6527b9cab666d07037b0513be682577 | [
"MIT"
] | null | null | null | from __future__ import print_function
import argparse
import matplotlib.pyplot as plt
import numpy as np
import os
import seaborn as sns
import torch
import uuid
import uv_dataloader
from cnn_model import CNNModel
from cnn3d_model import ConvNetBarley
from hyperparams import get_param_class
from matplotlib.ticker imp... | 43.89697 | 122 | 0.598233 |
e0a6c89ec8118f136ab88e2e4628035484ef2f4d | 2,638 | py | Python | server/ppm_request.py | adamjakab/PPMServerPython | 2ad077cdfc7894b8e67448d0808291d469cebdcc | [
"MIT"
] | null | null | null | server/ppm_request.py | adamjakab/PPMServerPython | 2ad077cdfc7894b8e67448d0808291d469cebdcc | [
"MIT"
] | null | null | null | server/ppm_request.py | adamjakab/PPMServerPython | 2ad077cdfc7894b8e67448d0808291d469cebdcc | [
"MIT"
] | null | null | null | # Copyright: Copyright (c) 2020., Adam Jakab
#
# Author: Adam Jakab <adam at jakab dot pro>
# License: MIT
import json
from abc import ABC
from abc import abstractmethod
from json import JSONDecodeError
from logging import Logger
from flask import request, session
class PPM_Request(ABC):
_config = {}
_req... | 27.195876 | 76 | 0.620925 |
f9011809a5b5102c56b8c8dc056389f8456cc013 | 25,634 | py | Python | bstore/tests/database_tests.py | LEB-EPFL/bstore | 471a24b84f18c7efe0c3e52632fc14fa27611e50 | [
"BSD-3-Clause"
] | 5 | 2016-08-29T10:01:43.000Z | 2017-09-14T12:12:33.000Z | bstore/tests/database_tests.py | LEB-EPFL/bstore | 471a24b84f18c7efe0c3e52632fc14fa27611e50 | [
"BSD-3-Clause"
] | 63 | 2016-07-25T06:49:00.000Z | 2018-04-25T17:14:21.000Z | bstore/tests/database_tests.py | LEB-EPFL/bstore | 471a24b84f18c7efe0c3e52632fc14fa27611e50 | [
"BSD-3-Clause"
] | 1 | 2019-06-24T07:40:28.000Z | 2019-06-24T07:40:28.000Z | # © All rights reserved. ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE,
# Switzerland, Laboratory of Experimental Biophysics, 2016-2018
# See the LICENSE.txt file for more details.
"""Unit tests for the database module.
Notes
-----
nosetests should be run in the directory just above the `tests` folder.
"""
__author__ =... | 37.864106 | 82 | 0.586058 |
3ae6969e04c797294255f5951b865ac06a16df7e | 3,205 | py | Python | src/p_detector/logger.py | SummerOf15/tiny-instance-segmentation | bfb3f3403a4637d97763443e56841acda9405498 | [
"Apache-2.0"
] | null | null | null | src/p_detector/logger.py | SummerOf15/tiny-instance-segmentation | bfb3f3403a4637d97763443e56841acda9405498 | [
"Apache-2.0"
] | null | null | null | src/p_detector/logger.py | SummerOf15/tiny-instance-segmentation | bfb3f3403a4637d97763443e56841acda9405498 | [
"Apache-2.0"
] | null | null | null | """ Creates a logging utilities such as check point saver and tensorboard summary writer.
Specifically defined for convenience of p_detector.
"""
import torch
import os
from torch.utils.tensorboard import SummaryWriter
from shutil import copyfile
class SaveAndLoad(object):
"""
CheckLogger saves and loads t... | 33.385417 | 89 | 0.608424 |
8c3eeb83325458c053291869b19a0cc99e9df56b | 310,961 | py | Python | mypy/checker.py | alcides/mypy | 931e2cd1e0db2d0e3323d40abe2642701e3af3eb | [
"PSF-2.0"
] | null | null | null | mypy/checker.py | alcides/mypy | 931e2cd1e0db2d0e3323d40abe2642701e3af3eb | [
"PSF-2.0"
] | null | null | null | mypy/checker.py | alcides/mypy | 931e2cd1e0db2d0e3323d40abe2642701e3af3eb | [
"PSF-2.0"
] | null | null | null | """Mypy type checker."""
import itertools
import fnmatch
from collections import defaultdict
from contextlib import contextmanager
from typing import (
Any, Dict, Set, List, cast, Tuple, TypeVar, Union, Optional, NamedTuple, Iterator,
Iterable, Sequence, Mapping, Generic, AbstractSet, Callable, overload
)
fro... | 48.46649 | 99 | 0.589167 |
499416ebb1448880cdbdbff1555a4f682cd1f24f | 5,627 | py | Python | arcpyext/publishing/_publishing.py | dcworldwide/arcpyext | 47ab401b74a2e296f7fc1eef51f80500d1300033 | [
"BSD-3-Clause"
] | null | null | null | arcpyext/publishing/_publishing.py | dcworldwide/arcpyext | 47ab401b74a2e296f7fc1eef51f80500d1300033 | [
"BSD-3-Clause"
] | null | null | null | arcpyext/publishing/_publishing.py | dcworldwide/arcpyext | 47ab401b74a2e296f7fc1eef51f80500d1300033 | [
"BSD-3-Clause"
] | null | null | null | # coding=utf-8
"""This module contains helper functions related to publishing."""
# Python 2/3 compatibility
# pylint: disable=wildcard-import,unused-wildcard-import,wrong-import-order,wrong-import-position
from __future__ import (absolute_import, division, print_function, unicode_literals)
from future.builtins.disabl... | 37.513333 | 107 | 0.581127 |
5e615f7b34aae0c8d6b63b538f5844e5d7ad7491 | 224 | py | Python | name_extract.py | devanshu125/ResumeReviewer | de630f405988d7808112efc845f356943b0ca4f0 | [
"MIT"
] | 8 | 2019-11-29T16:28:31.000Z | 2022-03-05T07:09:09.000Z | name_extract.py | devanshu125/ResumeReviewer | de630f405988d7808112efc845f356943b0ca4f0 | [
"MIT"
] | 8 | 2019-12-04T22:34:39.000Z | 2019-12-07T13:40:57.000Z | name_extract.py | devanshu125/ResumeReviewer | de630f405988d7808112efc845f356943b0ca4f0 | [
"MIT"
] | 4 | 2019-12-05T15:26:28.000Z | 2019-12-09T02:08:03.000Z | mylines = []
with open('resume.txt', 'rt') as myfile:
for myline in myfile:
mylines.append(myline)
print("Name: ", end="")
for c in mylines[0]:
if c == "|":
break;
else:
print(c, end="")
| 18.666667 | 40 | 0.522321 |
1e8f36a584974f36999ddd1569521d0373be8bc8 | 15 | py | Python | mp_kiwoom/fetch.py | moonstock/mp_kiwoom | 459a974159af4f5604da18c1c0e8d4f8b3f1d2e6 | [
"MIT"
] | null | null | null | mp_kiwoom/fetch.py | moonstock/mp_kiwoom | 459a974159af4f5604da18c1c0e8d4f8b3f1d2e6 | [
"MIT"
] | null | null | null | mp_kiwoom/fetch.py | moonstock/mp_kiwoom | 459a974159af4f5604da18c1c0e8d4f8b3f1d2e6 | [
"MIT"
] | null | null | null | # 주식 관련 데이터 요청
| 7.5 | 14 | 0.6 |
669ce5ebc63a12a0bb107b7a3efba4975a1a12b6 | 41,002 | py | Python | tensorflow/python/autograph/operators/control_flow_deprecated_py2.py | where-is-brett/tensorflow | 5da8599b2cf9edfb9fac4431c705501bf7ceccd8 | [
"Apache-2.0"
] | 50 | 2020-03-15T01:04:36.000Z | 2021-11-21T23:25:44.000Z | tensorflow/python/autograph/operators/control_flow_deprecated_py2.py | sagol/tensorflow | 04f2870814d2773e09dcfa00cbe76a66a2c4de88 | [
"Apache-2.0"
] | 58 | 2021-11-22T05:41:28.000Z | 2022-01-19T01:33:40.000Z | tensorflow/python/autograph/operators/control_flow_deprecated_py2.py | sagol/tensorflow | 04f2870814d2773e09dcfa00cbe76a66a2c4de88 | [
"Apache-2.0"
] | 66 | 2020-05-15T10:05:12.000Z | 2022-02-14T07:28:18.000Z | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 35.499567 | 113 | 0.685113 |
ed048e16b8572ecbc0c85529b18d1d1ec5a254d5 | 20,780 | py | Python | ccmlib/scylla_cluster.py | ilya-rarov/scylla-ccm | 7ec0cb39478a05a0d5d3f0910dc421b26ed09ac4 | [
"Apache-2.0"
] | null | null | null | ccmlib/scylla_cluster.py | ilya-rarov/scylla-ccm | 7ec0cb39478a05a0d5d3f0910dc421b26ed09ac4 | [
"Apache-2.0"
] | null | null | null | ccmlib/scylla_cluster.py | ilya-rarov/scylla-ccm | 7ec0cb39478a05a0d5d3f0910dc421b26ed09ac4 | [
"Apache-2.0"
] | null | null | null | # ccm clusters
import os
import shutil
import time
import subprocess
import signal
import yaml
import uuid
import datetime
from six import print_
from distutils.version import LooseVersion
from ccmlib import common
from ccmlib.cluster import Cluster
from ccmlib.scylla_node import ScyllaNode
from ccmlib.node import No... | 42.581967 | 202 | 0.612464 |
ae4199d91c66253c70aa788c627211098a60f27b | 331 | py | Python | recipes/how_to_add_a_list_to_a_text_document.py | jdum/odfdo | 2494d0bed39f5a55974643206e9bafeed40f3a6b | [
"Apache-2.0"
] | 18 | 2018-04-19T08:30:48.000Z | 2022-02-14T11:00:27.000Z | recipes/how_to_add_a_list_to_a_text_document.py | jdum/odfdo | 2494d0bed39f5a55974643206e9bafeed40f3a6b | [
"Apache-2.0"
] | 15 | 2018-04-22T00:52:41.000Z | 2021-07-05T10:16:38.000Z | recipes/how_to_add_a_list_to_a_text_document.py | jdum/odfdo | 2494d0bed39f5a55974643206e9bafeed40f3a6b | [
"Apache-2.0"
] | 6 | 2018-04-22T00:14:12.000Z | 2021-12-06T01:42:07.000Z | from odfdo import Document
document = Document("text")
body = document.body
# Lists are a dedicated object
from odfdo import List
my_list = List(["chocolat", "café"])
# The list factory accepts a Python list of strings and list items.
#
# The list can be written even though we will modify it afterwards:
body.appen... | 20.6875 | 67 | 0.749245 |
f7d0276701fde472f15742c626463a5f92848f49 | 698 | py | Python | GDT/ferramentas/cores/__init__.py | GustavoHenriqueSchmitz/GDT | b88b0f708c64a18d19a976b26a1aa88190b3af3a | [
"MIT"
] | null | null | null | GDT/ferramentas/cores/__init__.py | GustavoHenriqueSchmitz/GDT | b88b0f708c64a18d19a976b26a1aa88190b3af3a | [
"MIT"
] | null | null | null | GDT/ferramentas/cores/__init__.py | GustavoHenriqueSchmitz/GDT | b88b0f708c64a18d19a976b26a1aa88190b3af3a | [
"MIT"
] | null | null | null | def preto():
return '\0331;30m'
def vermelho():
return '\033[1;31m'
def verde():
return '\033[1;32m'
def amarelo():
return '\033[1;33m'
def azul():
return '\033[1;34m'
def magenta():
return '\033[1;35m'
def ciano():
return '\033[1;36m'
def cinzaclaro():
return '\033[1;37m'
def ci... | 13.96 | 23 | 0.591691 |
160799a1fcd06a7e4530dd0b224ec5b192472403 | 9,202 | py | Python | particle filter complete.py | codehack9991/VOCOWA | 96fb44ae2bd936f3d3f052c2c5e733582cd9117e | [
"MIT"
] | 2 | 2019-01-06T09:59:26.000Z | 2019-06-04T05:38:43.000Z | particle filter complete.py | codehack9991/VOCOWA | 96fb44ae2bd936f3d3f052c2c5e733582cd9117e | [
"MIT"
] | null | null | null | particle filter complete.py | codehack9991/VOCOWA | 96fb44ae2bd936f3d3f052c2c5e733582cd9117e | [
"MIT"
] | null | null | null | from math import *
import random
max_steering_angle = pi / 4.0 # You do not need to use this value, but keep in mind the limitations of a real car.
bearing_noise = 0.1 # Noise parameter: should be included in sense function.
steering_noise = 0.1 # Noise parameter: should be included in move function.
distance_noise... | 34.593985 | 115 | 0.599652 |
8e6fbb0e5908f1549a4a90473501dceb9036427f | 540 | py | Python | tacotron2_gst/utils.py | tilde-nlp/pip2-expressive-speech-synthesis-for-dialogs | 195daa976cbff1c88cc7c5d88f3937764a6d68c0 | [
"MIT"
] | null | null | null | tacotron2_gst/utils.py | tilde-nlp/pip2-expressive-speech-synthesis-for-dialogs | 195daa976cbff1c88cc7c5d88f3937764a6d68c0 | [
"MIT"
] | null | null | null | tacotron2_gst/utils.py | tilde-nlp/pip2-expressive-speech-synthesis-for-dialogs | 195daa976cbff1c88cc7c5d88f3937764a6d68c0 | [
"MIT"
] | null | null | null | """
Adapted from https://github.com/NVIDIA/tacotron2
"""
import torch
def get_mask_from_lengths(lengths: torch.Tensor) -> torch.Tensor:
max_len = torch.max(lengths).item()
ids = torch.arange(0, max_len, out=torch.LongTensor(max_len).to(lengths.device))
mask = (ids < lengths.unsqueeze(1)).bool()
return... | 30 | 84 | 0.7 |
1c50bed5811c2e9fd81555ef57b893713bb00573 | 1,798 | py | Python | map-api/authentication.py | PADAS/er-map-server | 4cce8c97e68697612e268000d415f5b91eb14169 | [
"Apache-2.0"
] | null | null | null | map-api/authentication.py | PADAS/er-map-server | 4cce8c97e68697612e268000d415f5b91eb14169 | [
"Apache-2.0"
] | null | null | null | map-api/authentication.py | PADAS/er-map-server | 4cce8c97e68697612e268000d415f5b91eb14169 | [
"Apache-2.0"
] | null | null | null | import logging
import hashlib
from functools import wraps
from flask import g, request, redirect, url_for, jsonify
from werkzeug.exceptions import Unauthorized, BadRequest
import settings
import storage
logger = logging.getLogger(__name__)
def login_required(f):
@wraps(f)
def decorated_function(*args, **k... | 29.966667 | 76 | 0.640156 |
008c508686d498eae15b7f43c74e2b040ccb6eda | 1,362 | py | Python | login.py | Hongwei-W/cgi-lab | 2fd2d3b372abfcb0e75c93c6660a91dcdfdd2b8d | [
"Apache-2.0"
] | null | null | null | login.py | Hongwei-W/cgi-lab | 2fd2d3b372abfcb0e75c93c6660a91dcdfdd2b8d | [
"Apache-2.0"
] | null | null | null | login.py | Hongwei-W/cgi-lab | 2fd2d3b372abfcb0e75c93c6660a91dcdfdd2b8d | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import cgi, cgitb, os
from tokenize import cookie_re
cgitb.enable()
from templates import login_page, secret_page, after_login_incorrect
import secret
from http.cookies import SimpleCookie
# set up cgi form
s = cgi.FieldStorage()
username = s.getfirst("username")
password = s.getfirst("passw... | 26.192308 | 77 | 0.745962 |
35bef2be6145907d1fee0c27ee543eae93d284d4 | 551 | py | Python | output/models/nist_data/list_pkg/nmtokens/schema_instance/nistschema_sv_iv_list_nmtokens_pattern_3_xsd/nistschema_sv_iv_list_nmtokens_pattern_3.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 1 | 2021-08-14T17:59:21.000Z | 2021-08-14T17:59:21.000Z | output/models/nist_data/list_pkg/nmtokens/schema_instance/nistschema_sv_iv_list_nmtokens_pattern_3_xsd/nistschema_sv_iv_list_nmtokens_pattern_3.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 4 | 2020-02-12T21:30:44.000Z | 2020-04-15T20:06:46.000Z | output/models/nist_data/list_pkg/nmtokens/schema_instance/nistschema_sv_iv_list_nmtokens_pattern_3_xsd/nistschema_sv_iv_list_nmtokens_pattern_3.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | null | null | null | from dataclasses import dataclass, field
from typing import List
__NAMESPACE__ = "NISTSchema-SV-IV-list-NMTOKENS-pattern-3-NS"
@dataclass
class NistschemaSvIvListNmtokensPattern3:
class Meta:
name = "NISTSchema-SV-IV-list-NMTOKENS-pattern-3"
namespace = "NISTSchema-SV-IV-list-NMTOKENS-pattern-3-N... | 26.238095 | 73 | 0.611615 |
8d164e9032d5779d3547d2420799066f5a68eaa8 | 489 | py | Python | PC/TCPExample/TCPClient.py | factoryal-dev-iiot03/Wrist-Bayoen | 5d33739ed5a6c3d37586611a138b035cdffbd013 | [
"MIT"
] | null | null | null | PC/TCPExample/TCPClient.py | factoryal-dev-iiot03/Wrist-Bayoen | 5d33739ed5a6c3d37586611a138b035cdffbd013 | [
"MIT"
] | null | null | null | PC/TCPExample/TCPClient.py | factoryal-dev-iiot03/Wrist-Bayoen | 5d33739ed5a6c3d37586611a138b035cdffbd013 | [
"MIT"
] | 1 | 2019-11-27T11:43:31.000Z | 2019-11-27T11:43:31.000Z |
import socket
HOST = '127.0.0.1' # The server's hostname or IP address
PORT = 6789 # The port used by the server
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
s.connect((HOST, PORT))
while True:
message = input()
if message=='-1': break
message += '\n'
s... | 28.764706 | 60 | 0.576687 |
66dddb5a582bb59f566e7d1ae2b174fd2deb7b6b | 14,552 | py | Python | mriqc/classifier/cv.py | effigies/mriqc | de60ff0f65e4fe0e315143fe3b75ecd940beb2b1 | [
"BSD-3-Clause"
] | null | null | null | mriqc/classifier/cv.py | effigies/mriqc | de60ff0f65e4fe0e315143fe3b75ecd940beb2b1 | [
"BSD-3-Clause"
] | null | null | null | mriqc/classifier/cv.py | effigies/mriqc | de60ff0f65e4fe0e315143fe3b75ecd940beb2b1 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Author: oesteban
# @Date: 2015-11-19 16:44:27
# @Last Modified by: oesteban
# @Last Modified time: 2017-03-07 19:39:20
"""
============================================================
:mod:`mriqc.classifier.cv` -- MRIQC Cross-validation Helpers
====================... | 36.654912 | 98 | 0.583562 |
2ba8b5a3d6f789d902a3c35acb169d32315dad19 | 7,284 | py | Python | kubernetes_asyncio/client/models/v2beta2_horizontal_pod_autoscaler.py | PidgeyBE/kubernetes_asyncio | 14d15dc309890253c26b6274a022e84441e05217 | [
"Apache-2.0"
] | null | null | null | kubernetes_asyncio/client/models/v2beta2_horizontal_pod_autoscaler.py | PidgeyBE/kubernetes_asyncio | 14d15dc309890253c26b6274a022e84441e05217 | [
"Apache-2.0"
] | null | null | null | kubernetes_asyncio/client/models/v2beta2_horizontal_pod_autoscaler.py | PidgeyBE/kubernetes_asyncio | 14d15dc309890253c26b6274a022e84441e05217 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
Kubernetes
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
OpenAPI spec version: v1.13.5
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
class V2beta2Hor... | 32.959276 | 295 | 0.63207 |
b3b8786d666242378710e31ffe1502ded111906b | 641 | py | Python | neurallog/knowledge/theory/manager/revision/operator/__init__.py | guimaraes13/NeuralLog | 63cca557257ec67905b79048718db385cc4c3aab | [
"Apache-2.0"
] | 6 | 2021-05-04T12:24:17.000Z | 2021-07-28T03:20:48.000Z | neurallog/knowledge/theory/manager/revision/operator/__init__.py | guimaraes13/NeuralLog | 63cca557257ec67905b79048718db385cc4c3aab | [
"Apache-2.0"
] | null | null | null | neurallog/knowledge/theory/manager/revision/operator/__init__.py | guimaraes13/NeuralLog | 63cca557257ec67905b79048718db385cc4c3aab | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Victor Guimarães
#
# 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 i... | 35.611111 | 75 | 0.74727 |
70f6767c54c622d95d73508e0ed31380c0f95e82 | 2,396 | py | Python | setup.py | dreipol/django-cookie-monster | d2bdabf385ab2db1f88b62940fd0c12568d87a67 | [
"BSD-3-Clause"
] | 4 | 2021-09-17T21:59:54.000Z | 2021-09-18T13:23:23.000Z | setup.py | dreipol/django-cookie-monster | d2bdabf385ab2db1f88b62940fd0c12568d87a67 | [
"BSD-3-Clause"
] | 4 | 2019-10-21T14:45:53.000Z | 2021-05-11T09:57:27.000Z | setup.py | dreipol/django-cookie-monster | d2bdabf385ab2db1f88b62940fd0c12568d87a67 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import re
import sys
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
def get_version(*file_paths):
"""Retrieves the version from cookie_monster/__init__.py"""
filename = os.path.join(os.path.dirname(__file_... | 30.329114 | 70 | 0.6202 |
cca421482bb6611434df46f3aeed631dc0bf5948 | 10,074 | py | Python | pandas/tests/arrays/test_array.py | developing-coder/pandas | 9feb3ad92cc0397a04b665803a49299ee7aa1037 | [
"BSD-3-Clause"
] | 1 | 2019-05-04T03:42:25.000Z | 2019-05-04T03:42:25.000Z | pandas/tests/arrays/test_array.py | developing-coder/pandas | 9feb3ad92cc0397a04b665803a49299ee7aa1037 | [
"BSD-3-Clause"
] | null | null | null | pandas/tests/arrays/test_array.py | developing-coder/pandas | 9feb3ad92cc0397a04b665803a49299ee7aa1037 | [
"BSD-3-Clause"
] | null | null | null | import datetime
import decimal
import numpy as np
import pytest
import pytz
from pandas.core.dtypes.dtypes import registry
import pandas as pd
from pandas.api.extensions import register_extension_dtype
from pandas.api.types import is_scalar
from pandas.core.arrays import PandasArray, integer_array, period_array
from... | 32.921569 | 79 | 0.62021 |
4da1e3472de29f4a5230d06710ef30027a360fab | 1,174 | py | Python | service/utils.py | yutiansut/cilantro | 3fa579999e7d5a6d6041ccc7e309c667fc7eac90 | [
"Apache-2.0"
] | 3 | 2019-09-04T12:40:33.000Z | 2021-12-28T16:33:27.000Z | service/utils.py | yutiansut/cilantro | 3fa579999e7d5a6d6041ccc7e309c667fc7eac90 | [
"Apache-2.0"
] | 97 | 2018-05-29T13:27:04.000Z | 2021-11-02T11:03:33.000Z | service/utils.py | yutiansut/cilantro | 3fa579999e7d5a6d6041ccc7e309c667fc7eac90 | [
"Apache-2.0"
] | 16 | 2018-04-25T11:39:21.000Z | 2019-12-16T14:37:39.000Z | import os
def get_all_file_paths_from_dir(dir_path: str):
"""
Return a list of the paths of files in a given directory with sub-dirs.
:param str dir_path: The directory to get the paths from
:return: list of the file paths.
"""
file_list = []
for entry in os.scandir(dir_path):
if ... | 28.634146 | 78 | 0.584327 |
9b1eda889f6519b8ee30546266200aae83c549a5 | 3,865 | py | Python | tests/test_derivative_structure.py | lan496/dsenum | 24412c20737bdaf20179afabb49ff407cb92e880 | [
"MIT"
] | null | null | null | tests/test_derivative_structure.py | lan496/dsenum | 24412c20737bdaf20179afabb49ff407cb92e880 | [
"MIT"
] | 15 | 2019-01-21T07:30:36.000Z | 2020-08-14T10:58:24.000Z | tests/test_derivative_structure.py | lan496/dsenum | 24412c20737bdaf20179afabb49ff407cb92e880 | [
"MIT"
] | null | null | null | import numpy as np
from pymatgen.analysis.structure_matcher import StructureMatcher
from pymatgen.core import Lattice, Structure
from pymatgen.core.periodic_table import Specie, DummySpecie, Element
from pymatgen.io.vasp.inputs import Poscar
import pytest
from dsenum import StructureEnumerator
from dsenum.utils import... | 28.62963 | 92 | 0.639845 |
f7030c00749497a837fcb1e598f6a89804856653 | 46,146 | py | Python | chia/wallet/wallet_node.py | loueradun/silicoin-blockchain | a199dd86ffb84f214ccd6192ad42d150badc05e1 | [
"Apache-2.0"
] | null | null | null | chia/wallet/wallet_node.py | loueradun/silicoin-blockchain | a199dd86ffb84f214ccd6192ad42d150badc05e1 | [
"Apache-2.0"
] | 4 | 2021-11-16T08:18:39.000Z | 2022-03-29T08:12:41.000Z | chia/wallet/wallet_node.py | Devh4ox4d/silishitcoin | 4372d06aa4a54220f2bde29c8081410503679a82 | [
"Apache-2.0"
] | null | null | null | import asyncio
import json
import logging
import socket
import time
import traceback
from pathlib import Path
from typing import Callable, Dict, List, Optional, Set, Tuple, Union
from blspy import PrivateKey
from chia.consensus.block_record import BlockRecord
from chia.consensus.blockchain_interface import BlockchainI... | 45.241176 | 118 | 0.616543 |
c19fc8f65f7546e7848b7f0b9a2f95a898f1c98f | 1,557 | py | Python | homelab-ios-scp-server-off.py | telcoserf/IOSPackageUploader | 3a4be7ef2dc759cca1e82236da7fa95e38b8d949 | [
"MIT"
] | null | null | null | homelab-ios-scp-server-off.py | telcoserf/IOSPackageUploader | 3a4be7ef2dc759cca1e82236da7fa95e38b8d949 | [
"MIT"
] | null | null | null | homelab-ios-scp-server-off.py | telcoserf/IOSPackageUploader | 3a4be7ef2dc759cca1e82236da7fa95e38b8d949 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""
INFO: This script connects to an IOS device and disables the SCP server.
AUTHOR: zmw
DATE: 20170504 17:00 PDT
"""
#Make script compatible with both Python2 and Python3.
from __future__ import absolute_import, division, print_function
#Import functions/libraries needed.
import netmiko
impo... | 28.833333 | 122 | 0.769428 |
cf21c98a15f1f334acf679a717f6ee080a97277f | 5,165 | py | Python | source/conf.py | 1185072457/linux-note | 5dd6ffdc26d84b9edcb8b4ff223cc3c01f125a2e | [
"MIT"
] | null | null | null | source/conf.py | 1185072457/linux-note | 5dd6ffdc26d84b9edcb8b4ff223cc3c01f125a2e | [
"MIT"
] | null | null | null | source/conf.py | 1185072457/linux-note | 5dd6ffdc26d84b9edcb8b4ff223cc3c01f125a2e | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# linux-note documentation build configuration file, created by
# sphinx-quickstart on Thu Jan 4 10:51:31 2018.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
#... | 29.855491 | 79 | 0.677444 |
a35e6995893db5f876df60febae997b121b30fe4 | 20,999 | py | Python | train.py | miha2227/GroupSSL | 7521111427740dd1e09dfad3e590f3b768b8ddaa | [
"MIT"
] | null | null | null | train.py | miha2227/GroupSSL | 7521111427740dd1e09dfad3e590f3b768b8ddaa | [
"MIT"
] | null | null | null | train.py | miha2227/GroupSSL | 7521111427740dd1e09dfad3e590f3b768b8ddaa | [
"MIT"
] | null | null | null | from __future__ import print_function
import argparse
import os
import shutil
import time
import random
import numpy as np
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim as optim
import torch.utils.data as data
import torchvision.transforms as tran... | 38.041667 | 194 | 0.6046 |
ddbde0ce09a213d36cab927dbbf84b6f69de10ef | 7,226 | py | Python | posthog/api/test/test_action.py | bcruddy/posthog | 9ae6854254085bbe10cc4f9c98820d9efed52424 | [
"MIT"
] | 2 | 2020-02-24T20:05:53.000Z | 2020-04-16T06:41:19.000Z | posthog/api/test/test_action.py | bcruddy/posthog | 9ae6854254085bbe10cc4f9c98820d9efed52424 | [
"MIT"
] | null | null | null | posthog/api/test/test_action.py | bcruddy/posthog | 9ae6854254085bbe10cc4f9c98820d9efed52424 | [
"MIT"
] | 3 | 2020-02-21T23:19:41.000Z | 2020-03-12T11:14:47.000Z | from .base import BaseTest
from posthog.models import Action, ActionStep, Event, Element, Person
from freezegun import freeze_time # type: ignore
class TestAction(BaseTest):
TESTS_API = True
def test_create_and_update_action(self):
response = self.client.post('/api/action/', data={
'name'... | 48.824324 | 162 | 0.62372 |
39c045de8177b15b11e090d0ca60a7539e66ff28 | 14,437 | py | Python | tools/infer/utility.py | vinhtq115/PaddleOCR | 5730d5cd48b38b163ff06d0f3c57da5991aa9448 | [
"Apache-2.0"
] | null | null | null | tools/infer/utility.py | vinhtq115/PaddleOCR | 5730d5cd48b38b163ff06d0f3c57da5991aa9448 | [
"Apache-2.0"
] | null | null | null | tools/infer/utility.py | vinhtq115/PaddleOCR | 5730d5cd48b38b163ff06d0f3c57da5991aa9448 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 36.273869 | 85 | 0.615363 |
b503099e3d79c97b9e64e46205542256310ded9c | 403 | py | Python | thippiproject/thippiproject/wsgi.py | Anandgowda18/djangocomplete | c9eebe7834e404c73deca295289142a1e95ab573 | [
"Apache-2.0"
] | null | null | null | thippiproject/thippiproject/wsgi.py | Anandgowda18/djangocomplete | c9eebe7834e404c73deca295289142a1e95ab573 | [
"Apache-2.0"
] | null | null | null | thippiproject/thippiproject/wsgi.py | Anandgowda18/djangocomplete | c9eebe7834e404c73deca295289142a1e95ab573 | [
"Apache-2.0"
] | 1 | 2021-08-31T10:20:49.000Z | 2021-08-31T10:20:49.000Z | """
WSGI config for thippiproject 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/3.2/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO... | 23.705882 | 78 | 0.791563 |
4fdc2031da3e0cc1d0c2e371a44b6acbbbd37d34 | 2,568 | py | Python | calefaction/modules/campaigns/routes.py | earwig/calefaction | fba864431755e07a2a9cc40c03a7958656371bc6 | [
"MIT"
] | 4 | 2017-01-11T07:22:43.000Z | 2020-01-08T20:43:14.000Z | calefaction/modules/campaigns/routes.py | earwig/calefaction | fba864431755e07a2a9cc40c03a7958656371bc6 | [
"MIT"
] | null | null | null | calefaction/modules/campaigns/routes.py | earwig/calefaction | fba864431755e07a2a9cc40c03a7958656371bc6 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from flask import abort, g, redirect, request, url_for
from flask_mako import render_template
from .getters import get_current
from .._provided import blueprint, config
__all__ = ["home", "navitem", "current_campaign", "campaign", "operation",
"set_campaign"]
def home():
"""R... | 37.217391 | 79 | 0.66433 |
292a11d732394658ce678c3e96b6aeaa300e5fd1 | 5,623 | py | Python | src/dnetworks/layers/conv.py | Javicadserres/dnetworks | ff648a24dbc6d882c0986feb9c23549d30a9c1e8 | [
"MIT"
] | 1 | 2021-02-07T22:47:11.000Z | 2021-02-07T22:47:11.000Z | src/dnetworks/layers/conv.py | Javicadserres/dnetworks | ff648a24dbc6d882c0986feb9c23549d30a9c1e8 | [
"MIT"
] | 1 | 2021-01-30T23:37:24.000Z | 2021-02-07T21:06:30.000Z | src/dnetworks/layers/conv.py | Javicadserres/DNet | 173f9dfa35ae1cff8dbeec3c1d24cb00990b41a6 | [
"MIT"
] | null | null | null | import numpy as np
from .base import ConvBase
class Conv2D(ConvBase):
"""
Applies a 2D convolution over an input signal composed of several
input planes.
The formula of the convolution can be described as:
.. math::
\text{out}(C_{\text{out}_j}, N_i) = \text{bias}(C_{\text{out}_j}) +
... | 28.984536 | 102 | 0.548817 |
3ce057e30e56681b16563620d4399876ca6a875f | 14,063 | py | Python | tests/test_models.py | RishabhSehgal/keras_cv_attention_models | c1e20e45815339d70a987ec7dd9e6f926b4eb21d | [
"MIT"
] | null | null | null | tests/test_models.py | RishabhSehgal/keras_cv_attention_models | c1e20e45815339d70a987ec7dd9e6f926b4eb21d | [
"MIT"
] | null | null | null | tests/test_models.py | RishabhSehgal/keras_cv_attention_models | c1e20e45815339d70a987ec7dd9e6f926b4eb21d | [
"MIT"
] | null | null | null | import pytest
from tensorflow import keras
from skimage.data import chelsea
import sys
sys.path.append(".")
import keras_cv_attention_models
def test_Beit_defination():
mm = keras_cv_attention_models.beit.BeitBasePatch16(pretrained=None)
assert isinstance(mm, keras.models.Model)
mm = keras_cv_attention... | 36.338501 | 123 | 0.75304 |
bc6408d6d458930b273b9c4766179f81fbd99a42 | 583 | py | Python | dict_sorting.py | iggy2k/cursed_corrector | 5f56a34240cfd889400de36e54b2d1fdd09c55d7 | [
"MIT"
] | null | null | null | dict_sorting.py | iggy2k/cursed_corrector | 5f56a34240cfd889400de36e54b2d1fdd09c55d7 | [
"MIT"
] | null | null | null | dict_sorting.py | iggy2k/cursed_corrector | 5f56a34240cfd889400de36e54b2d1fdd09c55d7 | [
"MIT"
] | null | null | null | words = []
with open('words_alpha.txt', 'r') as fin:
for line in fin:
words.append(line.strip())
words.sort(key=len)
idx = 1
with open('words_sorted.txt', 'w') as fout:
length_line_seps = []
# Build the first line of the file, which contains line numbers of where
# to find words of a specific... | 24.291667 | 76 | 0.596913 |
604eb0ffd55192252c8cba72a5ac580d7affbb1d | 143,449 | py | Python | src/transformers/generation_utils.py | mayanksingh09/transformers | f54ab12798d746ce6b9717abf32f4d7b8e5d042e | [
"Apache-2.0"
] | 15 | 2021-08-10T01:10:44.000Z | 2022-01-20T15:23:49.000Z | src/transformers/generation_utils.py | 4nalog/transformers | 76cadb7943c8492ec481f4f3925e9e8793a32c9d | [
"Apache-2.0"
] | 1 | 2020-03-21T21:38:47.000Z | 2020-03-21T21:38:50.000Z | src/transformers/generation_utils.py | 4nalog/transformers | 76cadb7943c8492ec481f4f3925e9e8793a32c9d | [
"Apache-2.0"
] | 1 | 2021-04-02T20:42:10.000Z | 2021-04-02T20:42:10.000Z | # coding=utf-8
# Copyright 2020 The Google AI Language Team Authors, Facebook AI Research authors and The HuggingFace Inc. team.
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the L... | 55.600388 | 201 | 0.653194 |
0d094f41d4ecd583a433f51407b8e1ef8468f31c | 4,083 | py | Python | pylimit/pyratelimit.py | joaomedeiros95/pylimit | d2170a8c02a9be083f37c9e4ec1e28700a33d64e | [
"Apache-2.0"
] | null | null | null | pylimit/pyratelimit.py | joaomedeiros95/pylimit | d2170a8c02a9be083f37c9e4ec1e28700a33d64e | [
"Apache-2.0"
] | null | null | null | pylimit/pyratelimit.py | joaomedeiros95/pylimit | d2170a8c02a9be083f37c9e4ec1e28700a33d64e | [
"Apache-2.0"
] | 2 | 2019-11-20T12:02:10.000Z | 2020-11-10T14:56:56.000Z | import time
from pylimit.redis_helper import RedisHelper
from pylimit.pyratelimit_exception import PyRateLimitException
class PyRateLimit(object):
redis_helper = None # type: RedisHelper
def __init__(self):
self.period = None # type: int
self.limit = None # type: int
@cla... | 38.518868 | 114 | 0.67034 |
054fafa8407e9a461b49bad52cc998c4006bfef8 | 1,111 | py | Python | gfg/arrays/min_distance_in_array.py | rrwt/daily-coding-challenge | b16fc365fd142ebab429e605cb146c8bb0bc97a2 | [
"MIT"
] | 1 | 2019-04-18T03:29:02.000Z | 2019-04-18T03:29:02.000Z | gfg/arrays/min_distance_in_array.py | rrwt/daily-coding-challenge | b16fc365fd142ebab429e605cb146c8bb0bc97a2 | [
"MIT"
] | null | null | null | gfg/arrays/min_distance_in_array.py | rrwt/daily-coding-challenge | b16fc365fd142ebab429e605cb146c8bb0bc97a2 | [
"MIT"
] | null | null | null | """
Given an unsorted array arr[] and two numbers x and y,
find the minimum distance between x and y in arr[].
The array might also contain duplicates.
You may assume that both x and y are different and present in arr[].
"""
import random
def min_distance(arr: list, x: int, y: int) -> int:
index = 0
while arr... | 23.638298 | 68 | 0.533753 |
1fa73e76070d9fa72e10752123cc9b7627936d86 | 19,471 | py | Python | op_robot_tests/tests_files/service_keywords.py | alexmudra/robot_tests | 3c2b56205aa6d36be18ff306698f7fc57e0955c7 | [
"Apache-2.0"
] | null | null | null | op_robot_tests/tests_files/service_keywords.py | alexmudra/robot_tests | 3c2b56205aa6d36be18ff306698f7fc57e0955c7 | [
"Apache-2.0"
] | null | null | null | op_robot_tests/tests_files/service_keywords.py | alexmudra/robot_tests | 3c2b56205aa6d36be18ff306698f7fc57e0955c7 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -
import operator
from .local_time import get_now, TZ
from copy import deepcopy
from datetime import timedelta
from dateutil.parser import parse
from dpath.util import new as xpathnew
from haversine import haversine
from iso8601 import parse_date
from json import load, loads
from jsonpath_rw import ... | 34.52305 | 134 | 0.633763 |
d74847d81447b5fed4a74e67cd9074086698e740 | 4,910 | py | Python | appProcess.py | DannyPol/flatcam | 25a8634d0658e98b7fae31a095f8bef40c1b3067 | [
"MIT"
] | 1 | 2022-02-11T06:19:34.000Z | 2022-02-11T06:19:34.000Z | appProcess.py | MRemy2/FlatCam | d4f941335ca8a8d5351aab23b396f99da06a9029 | [
"MIT"
] | null | null | null | appProcess.py | MRemy2/FlatCam | d4f941335ca8a8d5351aab23b396f99da06a9029 | [
"MIT"
] | null | null | null | # ##########################################################
# FlatCAM: 2D Post-processing for Manufacturing #
# http://flatcam.org #
# Author: Juan Pablo Caram (c) #
# Date: 2/5/2014 #
# MIT Licence ... | 27.430168 | 116 | 0.601222 |
c860e0200a9e7e88f9dc6c16c79cf7e580b4d073 | 12,155 | py | Python | graphene_mongo/tests/test_converter.py | wangsha/graphene-mongo | 52d30413f1791976546f896a43a74cc4a9318faa | [
"MIT"
] | 260 | 2018-02-03T01:00:42.000Z | 2022-02-18T12:42:01.000Z | graphene_mongo/tests/test_converter.py | wangsha/graphene-mongo | 52d30413f1791976546f896a43a74cc4a9318faa | [
"MIT"
] | 159 | 2018-02-09T07:35:03.000Z | 2022-03-20T03:43:23.000Z | graphene_mongo/tests/test_converter.py | wangsha/graphene-mongo | 52d30413f1791976546f896a43a74cc4a9318faa | [
"MIT"
] | 124 | 2018-02-04T20:19:01.000Z | 2022-03-25T21:40:41.000Z | import graphene
import mongoengine
from py.test import raises
from .models import (
Article,
Editor,
EmbeddedArticle,
EmbeddedFoo,
Player,
Reporter,
ProfessorMetadata,
ProfessorVector,
Publisher,
)
from .. import registry
from .. import advanced_types
from ..converter import convert... | 30.694444 | 85 | 0.735253 |
a82131681fc3a93bc26f5481ca75666af7cea183 | 703 | py | Python | PruebaFinal/PruebaFinal/urls.py | Estuardiaz2611/PruebaFInal | 0ce45adef5bf1e49373348809f0cc4b61b7969c2 | [
"MIT"
] | 1 | 2020-05-28T19:40:40.000Z | 2020-05-28T19:40:40.000Z | PruebaFinal/PruebaFinal/urls.py | Estuardiaz2611/PruebaFInal | 0ce45adef5bf1e49373348809f0cc4b61b7969c2 | [
"MIT"
] | null | null | null | PruebaFinal/PruebaFinal/urls.py | Estuardiaz2611/PruebaFInal | 0ce45adef5bf1e49373348809f0cc4b61b7969c2 | [
"MIT"
] | null | null | null | from django.contrib import admin
from django.conf.urls import url, include
from django.urls import path
from django.contrib.auth.decorators import login_required
from django.contrib.auth.views import LoginView, PasswordResetView, logout_then_login,\
PasswordResetDoneView, PasswordResetConfirmView, PasswordResetComp... | 43.9375 | 94 | 0.763869 |
f2a129992a533990dee0cb232fa70002117d1c84 | 2,612 | py | Python | qlcp21a/JZ_merge.py | RapidLzj/QLCP21A | 52fb295ac72f79f0e5aa3310ed5849960659bf08 | [
"MIT"
] | null | null | null | qlcp21a/JZ_merge.py | RapidLzj/QLCP21A | 52fb295ac72f79f0e5aa3310ed5849960659bf08 | [
"MIT"
] | null | null | null | qlcp21a/JZ_merge.py | RapidLzj/QLCP21A | 52fb295ac72f79f0e5aa3310ed5849960659bf08 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
201901, Dr. Jie Zheng, Beijing & Xinglong, NAOC
202101-? Dr. Jie Zheng & Dr./Prof. Linqiao Jiang
Light_Curve_Pipeline
v3 (2021A) Upgrade from former version, remove unused code
"""
import os
import numpy as np
import astropy.io.fits as fits
import astropy.io.ascii as ascii
... | 29.681818 | 96 | 0.55245 |
6bf7abceac04b84913cca15cc17d19d87a400440 | 1,103 | py | Python | djangoecommerce/urls.py | roneysousa/oneecommerce | cb201cfb0b04adc3518172f57fca7779eaecdcf6 | [
"CC0-1.0"
] | null | null | null | djangoecommerce/urls.py | roneysousa/oneecommerce | cb201cfb0b04adc3518172f57fca7779eaecdcf6 | [
"CC0-1.0"
] | null | null | null | djangoecommerce/urls.py | roneysousa/oneecommerce | cb201cfb0b04adc3518172f57fca7779eaecdcf6 | [
"CC0-1.0"
] | null | null | null | """djangoecommerce URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.9/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
C... | 35.580645 | 79 | 0.711695 |
6283fd5f2e05e3a148f8326929dead7e4c016ec0 | 999 | py | Python | edgetpu/basic/edgetpu_utils.py | SanggunLee/edgetpu | d3cf166783265f475c1ddba5883e150ee84f7bfe | [
"Apache-2.0"
] | 320 | 2019-09-19T07:10:48.000Z | 2022-03-12T01:48:56.000Z | edgetpu/basic/edgetpu_utils.py | Machine-Learning-Practice/edgetpu | 6d699665efdc5d84944b5233223c55fe5d3bd1a6 | [
"Apache-2.0"
] | 563 | 2019-09-27T06:40:40.000Z | 2022-03-31T23:12:15.000Z | edgetpu/basic/edgetpu_utils.py | Machine-Learning-Practice/edgetpu | 6d699665efdc5d84944b5233223c55fe5d3bd1a6 | [
"Apache-2.0"
] | 119 | 2019-09-25T02:51:10.000Z | 2022-03-03T08:11:12.000Z | # Copyright 2019 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 41.625 | 74 | 0.818819 |
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