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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4b21bd61473f9e05b8ff5798ab318a00a380f810 | 2,273 | py | Python | setup.py | LJunghansCode/example-dash-structure | 8d073c78be4631238b6acdc0e3755c029a18bcf0 | [
"MIT"
] | null | null | null | setup.py | LJunghansCode/example-dash-structure | 8d073c78be4631238b6acdc0e3755c029a18bcf0 | [
"MIT"
] | null | null | null | setup.py | LJunghansCode/example-dash-structure | 8d073c78be4631238b6acdc0e3755c029a18bcf0 | [
"MIT"
] | null | null | null | import os
from setuptools import setup, find_packages
# Package meta-data.
NAME = "dash-practice"
DESCRIPTION = "Project structure practice"
# These can be set to None if you want to omit them
URL = "None"
AUTHOR = "None"
AUTHOR_EMAIL = "None"
LICENSE = "MIT license"
REQUIRES_PYTHON = ">=3.6.0"
VERSION = None # ge... | 26.741176 | 79 | 0.647602 |
682cef3a1021d4ec98b4043185629d7000e35e52 | 3,213 | py | Python | NicBot/cogs/bot_cogs.py | nicdgonzalez/NicBot-discord.py | 3a21510c1e4e2c933f48708478ae792159324a7c | [
"MIT"
] | null | null | null | NicBot/cogs/bot_cogs.py | nicdgonzalez/NicBot-discord.py | 3a21510c1e4e2c933f48708478ae792159324a7c | [
"MIT"
] | null | null | null | NicBot/cogs/bot_cogs.py | nicdgonzalez/NicBot-discord.py | 3a21510c1e4e2c933f48708478ae792159324a7c | [
"MIT"
] | null | null | null | from os import getcwd, listdir
from pathlib import Path
from typing import List
import discord
from discord.ext.commands import Bot, Cog, command, is_owner
from .utils import add_cog
# Trailing `[2:]` removes the drive (C:) from the path since `Path`
# uses a lowercase drive letter and `getcwd` uses an uppercase.
pa... | 28.433628 | 78 | 0.544351 |
4c0c0851dce983dac6d44fde169b9e94809ffc1b | 117,651 | py | Python | aesara/gpuarray/elemwise.py | hs2361/aesara | 16f98e4fd69db92e0c2cde9dd97a0d005235deea | [
"BSD-3-Clause"
] | 1 | 2021-11-30T06:38:39.000Z | 2021-11-30T06:38:39.000Z | aesara/gpuarray/elemwise.py | fonnesbeck/aesara | 02378861f1a77135f2556018630092a09262ea76 | [
"BSD-3-Clause"
] | null | null | null | aesara/gpuarray/elemwise.py | fonnesbeck/aesara | 02378861f1a77135f2556018630092a09262ea76 | [
"BSD-3-Clause"
] | null | null | null | import copy
from io import StringIO
import numpy as np
from aesara import scalar as aes
from aesara.graph.basic import Apply
from aesara.graph.op import _NoPythonOp
from aesara.graph.utils import MethodNotDefined
from aesara.link.c.interface import HideC
from aesara.scalar import Composite, Scalar
from aesara.scalar.... | 35.256518 | 117 | 0.458534 |
473f4f710b1f9b93ad53af604dfaf1875d7227a4 | 13,125 | py | Python | main.py | Bookaa/LiuD_Kaleidoscope | 075319773c68931002cf8e4dc80f6747a2f87415 | [
"MIT"
] | null | null | null | main.py | Bookaa/LiuD_Kaleidoscope | 075319773c68931002cf8e4dc80f6747a2f87415 | [
"MIT"
] | null | null | null | main.py | Bookaa/LiuD_Kaleidoscope | 075319773c68931002cf8e4dc80f6747a2f87415 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# refer to https://github.com/eliben/pykaleidoscope/blob/master/chapter6.py
from ctypes import CFUNCTYPE, c_double
import llvmlite.ir as ir
import llvmlite.binding as llvm
import Ast_Ks
class LLVMCodeGenerator:
def __init__(self):
self.module = ir.Module()
self.builder = N... | 36.662011 | 98 | 0.613638 |
d28ab9285c945ea85e280b117634dd37169b2893 | 5,540 | py | Python | code/deep/finetune_AlexNet_ResNet/finetune_office31.py | PatrickZH/transferlearning | 7fdb2280dbe0a79335eca290f808f034fd441b67 | [
"MIT"
] | 5 | 2019-04-06T08:17:15.000Z | 2019-09-06T01:24:46.000Z | code/deep/finetune_AlexNet_ResNet/finetune_office31.py | ZoeLin1130/transferlearning | 66e4b9a5747636f1e94512c8397683b3dc44d2ef | [
"MIT"
] | null | null | null | code/deep/finetune_AlexNet_ResNet/finetune_office31.py | ZoeLin1130/transferlearning | 66e4b9a5747636f1e94512c8397683b3dc44d2ef | [
"MIT"
] | 3 | 2019-10-02T15:46:47.000Z | 2020-06-17T13:45:27.000Z | from __future__ import print_function
import argparse
import data_loader
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import torchvision
import time
# Command setting
parser = argparse.ArgumentParser(description='Finetune')
parser.add_argument('-model', '-m', type=str, help='mod... | 40.735294 | 121 | 0.605415 |
7f0711f99eb55d9b57ff67832c9c98d4c40822fc | 438 | py | Python | Log_clearer.py | hack-e-d/FR-ERP | 9fe1c852e7a426309c238aabfba0bd8de7734429 | [
"MIT"
] | null | null | null | Log_clearer.py | hack-e-d/FR-ERP | 9fe1c852e7a426309c238aabfba0bd8de7734429 | [
"MIT"
] | null | null | null | Log_clearer.py | hack-e-d/FR-ERP | 9fe1c852e7a426309c238aabfba0bd8de7734429 | [
"MIT"
] | 1 | 2020-03-11T18:21:13.000Z | 2020-03-11T18:21:13.000Z | import mysql.connector
import datetime
import time
from tkinter import *
def Clear_attendance():
mydb = mysql.connector.connect(
host="localhost",
user="root",
passwd="",
database="attendance"
)
print(mydb)
mycursor = mydb.cursor()
sql = "truncate table att... | 19.909091 | 58 | 0.646119 |
259a2dd5cf2b941866914cdbdaa656b2276a948e | 865 | py | Python | tests/test_subspecies.py | floralist/botaxon | 979bb525eac87eee07593332aaac1bfd96fe44e5 | [
"MIT"
] | null | null | null | tests/test_subspecies.py | floralist/botaxon | 979bb525eac87eee07593332aaac1bfd96fe44e5 | [
"MIT"
] | 1 | 2019-04-11T22:46:34.000Z | 2019-04-28T22:23:57.000Z | tests/test_subspecies.py | ggueret/botaxon | 979bb525eac87eee07593332aaac1bfd96fe44e5 | [
"MIT"
] | 1 | 2020-05-11T17:21:47.000Z | 2020-05-11T17:21:47.000Z | # -*- coding: utf-8 -*-
import pytest
import botaxon
@pytest.mark.parametrize("test_input", ["Argyranthemum frutescens subsp. canariae"])
def test_single_subspecies(test_input):
parsed = botaxon.load(test_input)
assert isinstance(parsed, botaxon.SubSpeciesResult)
assert botaxon.load(test_input).name == t... | 34.6 | 84 | 0.778035 |
94ebc74ad5bab311b46b1f843958a617db223aba | 4,040 | py | Python | data/make_boxplot.py | faroit/icassp_2016_slides | 601218e1d58b0f97fe750405f2b61dc78638fb6b | [
"MIT"
] | null | null | null | data/make_boxplot.py | faroit/icassp_2016_slides | 601218e1d58b0f97fe750405f2b61dc78638fb6b | [
"MIT"
] | null | null | null | data/make_boxplot.py | faroit/icassp_2016_slides | 601218e1d58b0f97fe750405f2b61dc78638fb6b | [
"MIT"
] | 1 | 2017-01-28T21:57:20.000Z | 2017-01-28T21:57:20.000Z | import numpy as np
import matplotlib.pyplot as plt
import argparse
import math
import pandas as pd
import seaborn as sns
import matplotlib as mpl
from scipy.io import loadmat
from matplotlib.transforms import BlendedGenericTransform
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description=... | 28.450704 | 79 | 0.569059 |
ac26743a7d827f3d230408bed3f1e05d9460d80c | 12,379 | py | Python | src/cpu/minor/BaseMinorCPU.py | yclin99/CS251A_final_gem5 | 391ca1d7c9484f4d58fce9a4424821dcbb2463ac | [
"BSD-3-Clause"
] | 1 | 2022-03-25T13:18:26.000Z | 2022-03-25T13:18:26.000Z | src/cpu/minor/BaseMinorCPU.py | yclin99/CS251A_final_gem5 | 391ca1d7c9484f4d58fce9a4424821dcbb2463ac | [
"BSD-3-Clause"
] | 1 | 2022-03-25T14:15:30.000Z | 2022-03-25T14:15:30.000Z | src/cpu/minor/BaseMinorCPU.py | ksco/gem5-xiangshan | 0baf1b5229885d81d689a677102f0665aaac5514 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2012-2014, 2017-2018 ARM Limited
# All rights reserved.
#
# The license below extends only to copyright in the software and shall
# not be construed as granting a license to any other intellectual
# property including but not limited to intellectual property relating
# to a hardware implementation of th... | 42.249147 | 78 | 0.708054 |
39cdfbf4809b23f1a6607aabf0ae26b3297946f6 | 1,237 | py | Python | pxr/usd/plugin/usdMtlx/__init__.py | YuqiaoZhang/USD | bf3a21e6e049486441440ebf8c0387db2538d096 | [
"BSD-2-Clause"
] | 5 | 2017-11-06T10:21:18.000Z | 2020-04-02T13:20:55.000Z | pxr/usd/plugin/usdMtlx/__init__.py | YuqiaoZhang/USD | bf3a21e6e049486441440ebf8c0387db2538d096 | [
"BSD-2-Clause"
] | 1 | 2020-07-07T22:39:42.000Z | 2020-07-07T22:39:42.000Z | pxr/usd/plugin/usdMtlx/__init__.py | YuqiaoZhang/USD | bf3a21e6e049486441440ebf8c0387db2538d096 | [
"BSD-2-Clause"
] | null | null | null | #
# Copyright 2018 Pixar
#
# Licensed under the Apache License, Version 2.0 (the "Apache License")
# with the following modification; you may not use this file except in
# compliance with the Apache License and the following modification to it:
# Section 6. Trademarks. is deleted and replaced with:
#
# 6. Trademarks. T... | 35.342857 | 74 | 0.756669 |
637b4340836e7a085a60e221f9deb4822eb7967b | 991 | py | Python | train.py | DanielLund/music-genre-classifier | a761b44bed9226cf40735d585285eb6916bfaad2 | [
"MIT"
] | null | null | null | train.py | DanielLund/music-genre-classifier | a761b44bed9226cf40735d585285eb6916bfaad2 | [
"MIT"
] | null | null | null | train.py | DanielLund/music-genre-classifier | a761b44bed9226cf40735d585285eb6916bfaad2 | [
"MIT"
] | null | null | null | from preprocessing import analyse_playlist, PCA
from KNN_model import knn_func as knn
url_breaks = ""
url_house = ""
breaks = analyse_playlist(url_breaks)
house = analyse_playlist(url_house)
PCA_breaks = PCA("breaks.xlsx")
PCA_house = PCA("house.xlsx")
labelled_breaks = pd.read_excel("breaks.xlsx", index_col=0, us... | 30.96875 | 107 | 0.711403 |
28fd2ad35609b2d53ff646e88e9de27ba133be88 | 8,171 | py | Python | tests/unit/search/test_tasks.py | uranusjr/warehouse | d0a88279ad1f9a80e4adc60bbe0c37abbb7f07e7 | [
"Apache-2.0"
] | null | null | null | tests/unit/search/test_tasks.py | uranusjr/warehouse | d0a88279ad1f9a80e4adc60bbe0c37abbb7f07e7 | [
"Apache-2.0"
] | null | null | null | tests/unit/search/test_tasks.py | uranusjr/warehouse | d0a88279ad1f9a80e4adc60bbe0c37abbb7f07e7 | [
"Apache-2.0"
] | null | null | null | # Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the Li... | 33.487705 | 88 | 0.586831 |
eb6f3e25632910146f641da5ef5145fe0bc0c16c | 12,438 | py | Python | intersight/models/workflow_build_task_meta_owner.py | ategaw-cisco/intersight-python | 9d6476620507281b1dc358e29ac452d56081bbb0 | [
"Apache-2.0"
] | null | null | null | intersight/models/workflow_build_task_meta_owner.py | ategaw-cisco/intersight-python | 9d6476620507281b1dc358e29ac452d56081bbb0 | [
"Apache-2.0"
] | null | null | null | intersight/models/workflow_build_task_meta_owner.py | ategaw-cisco/intersight-python | 9d6476620507281b1dc358e29ac452d56081bbb0 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
Intersight REST API
This is Intersight REST API
OpenAPI spec version: 1.0.9-262
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from pprint import pformat
from six import iteritems
import re
class WorkflowBuildTaskMetaOwner(object):
"""
NOTE:... | 28.925581 | 214 | 0.608056 |
5bc57a2dd141a3cc35b4fffbb66a49303243a538 | 1,041 | py | Python | openchain/adapters/base.py | manti-by/Openchain | 0e2bd5323b35f888f2939d30acab50bd46645e58 | [
"BSD-2-Clause"
] | 1 | 2019-03-07T20:42:37.000Z | 2019-03-07T20:42:37.000Z | openchain/adapters/base.py | manti-by/Openchain | 0e2bd5323b35f888f2939d30acab50bd46645e58 | [
"BSD-2-Clause"
] | null | null | null | openchain/adapters/base.py | manti-by/Openchain | 0e2bd5323b35f888f2939d30acab50bd46645e58 | [
"BSD-2-Clause"
] | null | null | null | import os
class Singleton(type):
instance_set = {}
def __call__(cls, *args, **kwargs):
if cls not in cls.instance_set:
cls.instance_set[cls] = super(Singleton, cls).__call__(*args, **kwargs)
return cls.instance_set[cls]
class BaseAdapter(metaclass=Singleton):
db_path = os.... | 26.692308 | 83 | 0.667627 |
f13200a2440c3b2d01a0841c13dcc52ac32e8c69 | 1,173 | py | Python | custom_components/idiamant/const.py | clementprevot/home-assistant-idiamant | 2fc2703e4f2ec66a135a71d9a76121e2869a940f | [
"MIT"
] | 1 | 2022-02-27T14:52:56.000Z | 2022-02-27T14:52:56.000Z | custom_components/idiamant/const.py | clementprevot/home-assistant-idiamant | 2fc2703e4f2ec66a135a71d9a76121e2869a940f | [
"MIT"
] | 18 | 2022-02-27T13:38:34.000Z | 2022-03-30T06:32:27.000Z | custom_components/idiamant/const.py | clementprevot/home-assistant-idiamant | 2fc2703e4f2ec66a135a71d9a76121e2869a940f | [
"MIT"
] | null | null | null | """Constants used by the iDiamant component."""
from homeassistant.const import Platform
NAME = "iDiamant"
VERSION = "0.0.1"
DOMAIN = "idiamant"
DOMAIN_DATA = f"{DOMAIN}_data"
MANUFACTURER = "Netatmo"
DEFAULT_ATTRIBUTION = f"Data provided by {MANUFACTURER}"
PLATFORMS = [
Platform.COVER,
Platform.SENSOR,
]
B... | 20.946429 | 64 | 0.726343 |
8243285c7737e7661cce42a8e43d3f3056f82314 | 1,173 | py | Python | smsbomber.py | Nxuser741/SMSBomber-python | 9df768427b0d22451b837d7ea5c68be2069b7142 | [
"Apache-2.0"
] | null | null | null | smsbomber.py | Nxuser741/SMSBomber-python | 9df768427b0d22451b837d7ea5c68be2069b7142 | [
"Apache-2.0"
] | null | null | null | smsbomber.py | Nxuser741/SMSBomber-python | 9df768427b0d22451b837d7ea5c68be2069b7142 | [
"Apache-2.0"
] | null | null | null | import requests
def start():
spanduk = "\n ______ __________ __ \n / __/ |/ / __/ _ )___ __ _ / / ___ ____\n _\ \/ /|_/ /\ \/ _ / _ \/ ' \/ _ \/ -_) __/\n/___/_/ /_/___/____/\___/_/_/_/_.__/\__/_/ \n"
print(spanduk)
def hajar(nope):
BASE = "PC Me"
head = {"LANG":"en"... | 30.076923 | 210 | 0.542199 |
abb43829551371539f0d868301b54097c9bc7da2 | 662 | py | Python | reporter/app/automate/job_listener.py | chef-partners/GCP-CSCC-Automate-Integration | 96517262a5e530cd5ec0cfe95f0fec9c3b7306ab | [
"Apache-2.0"
] | 5 | 2019-06-17T05:05:00.000Z | 2022-02-11T17:25:24.000Z | reporter/app/automate/job_listener.py | chef-partners/GCP-CSCC-Automate-Integration | 96517262a5e530cd5ec0cfe95f0fec9c3b7306ab | [
"Apache-2.0"
] | null | null | null | reporter/app/automate/job_listener.py | chef-partners/GCP-CSCC-Automate-Integration | 96517262a5e530cd5ec0cfe95f0fec9c3b7306ab | [
"Apache-2.0"
] | 5 | 2018-12-06T14:09:02.000Z | 2022-02-11T17:25:28.000Z | from apscheduler.schedulers.background import BackgroundScheduler, BlockingScheduler
from automate.automate_service import AutomateService
from cscc.cscc_service import CsccService
import logging
import sys
class JobListener(BackgroundScheduler):
logger = logging.getLogger(__name__)
def listen(self, automateServ... | 36.777778 | 85 | 0.797583 |
5ea65d4873a5243d2a44e0d39d0611c949e980c6 | 3,307 | py | Python | clothing_recommender_project.py | rb2001/Clothing_Recommender | 48399911686e7cbb8c830340338ca59d0475815c | [
"Unlicense"
] | null | null | null | clothing_recommender_project.py | rb2001/Clothing_Recommender | 48399911686e7cbb8c830340338ca59d0475815c | [
"Unlicense"
] | null | null | null | clothing_recommender_project.py | rb2001/Clothing_Recommender | 48399911686e7cbb8c830340338ca59d0475815c | [
"Unlicense"
] | null | null | null | # -*- coding: utf-8 -*-
"""Clothing_Recommender Project .ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1nw0ewNdkx8o3WULAp2ynhHpbq1kVq7YZ
Clean the data and use input
"""
## Import and Organize Data ##
import pandas as pd
import numpy as np
... | 35.180851 | 195 | 0.752646 |
0c77519a818ee0a71b00b3fda5c4a9604e71d489 | 107,859 | py | Python | ken/lib/python3.8/site-packages/markdown2.py | kennedy-ben/One-Minuite-Spend | 33780ed420326e044c58e1b35b6d01af52b6e574 | [
"Unlicense",
"MIT"
] | 1 | 2019-07-09T04:57:14.000Z | 2019-07-09T04:57:14.000Z | virtual/lib/python3.6/site-packages/markdown2.py | annstella/blog | 1cdb7e7e7df028a84fae9b7d901116aae577589d | [
"MIT"
] | null | null | null | virtual/lib/python3.6/site-packages/markdown2.py | annstella/blog | 1cdb7e7e7df028a84fae9b7d901116aae577589d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# Copyright (c) 2012 Trent Mick.
# Copyright (c) 2007-2008 ActiveState Corp.
# License: MIT (http://www.opensource.org/licenses/mit-license.php)
from __future__ import generators
r"""A fast and complete Python implementation of Markdown.
[from http://daringfireball.net/projects/markdown/]
> Mar... | 40.579007 | 166 | 0.521913 |
15991e24854e18c98e58f4a47f6b0365c634099d | 3,413 | py | Python | server/app/settings.py | jleg13/Django-REST-API | 7e2c397ca3d49a320a79356c96b35beb86cc97ff | [
"MIT"
] | null | null | null | server/app/settings.py | jleg13/Django-REST-API | 7e2c397ca3d49a320a79356c96b35beb86cc97ff | [
"MIT"
] | null | null | null | server/app/settings.py | jleg13/Django-REST-API | 7e2c397ca3d49a320a79356c96b35beb86cc97ff | [
"MIT"
] | null | null | null | """
Django settings for app project.
Generated by 'django-admin startproject' using Django 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/
"""
import os
# Build... | 25.281481 | 91 | 0.685907 |
909ac29bf9044b1bd83f882c275bb30dee241531 | 42,546 | py | Python | device_base_class.py | labscript-suite-temp-2/blacs | 9959cfe0ebf44e4512bf8916407d581034356aad | [
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | device_base_class.py | labscript-suite-temp-2/blacs | 9959cfe0ebf44e4512bf8916407d581034356aad | [
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | device_base_class.py | labscript-suite-temp-2/blacs | 9959cfe0ebf44e4512bf8916407d581034356aad | [
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | #####################################################################
# #
# /device_base_class.py #
# #
# Copyright 2013, Monash University ... | 48.959724 | 251 | 0.577164 |
8c5a397a6c6056e5736dd015d3044b09e322cbe1 | 30,502 | py | Python | ml-dft-sandia/networks/models/utils/trained_model_inference.py | DanielKotik/mala | 1b89a78f5ddecb1df21d2753715001ffe4250fc1 | [
"BSD-3-Clause"
] | 11 | 2021-09-06T18:59:24.000Z | 2022-03-17T13:36:52.000Z | ml-dft-sandia/networks/models/utils/trained_model_inference.py | DanielKotik/mala | 1b89a78f5ddecb1df21d2753715001ffe4250fc1 | [
"BSD-3-Clause"
] | 92 | 2021-09-04T06:38:14.000Z | 2022-03-31T11:01:49.000Z | ml-dft-sandia/networks/models/utils/trained_model_inference.py | DanielKotik/mala | 1b89a78f5ddecb1df21d2753715001ffe4250fc1 | [
"BSD-3-Clause"
] | 10 | 2021-09-07T13:03:30.000Z | 2022-03-23T07:49:14.000Z | import numpy as np
import os, sys
import re
from glob import glob
import matplotlib
import matplotlib.pyplot as plt
#import ldos_calc
import DFT_calculators
from functools import partial
import argparse
import horovod.torch as hvd
from scipy.stats import gaussian_kde
import torch
import pickle
sys.path.append(".... | 35.884706 | 142 | 0.602354 |
c8f7851106cddfdd588a79cb02d5ea197b0d65d7 | 1,997 | py | Python | ros/src/twist_controller/twist_controller.py | chmod600/test-capstone | 4777f687ab78e9173d9993cb3b55087dde84e984 | [
"MIT"
] | null | null | null | ros/src/twist_controller/twist_controller.py | chmod600/test-capstone | 4777f687ab78e9173d9993cb3b55087dde84e984 | [
"MIT"
] | null | null | null | ros/src/twist_controller/twist_controller.py | chmod600/test-capstone | 4777f687ab78e9173d9993cb3b55087dde84e984 | [
"MIT"
] | null | null | null | import rospy
from pid import PID
from yaw_controller import YawController
from lowpass import LowPassFilter
GAS_DENSITY = 2.858
ONE_MPH = 0.44704
class Controller(object):
def __init__(self, vehicle_mass, decel_limit,
wheel_radius, wheel_base, steer_ratio, max_lat_accel, max_steer_angle):
... | 26.626667 | 87 | 0.596395 |
9f193260532bddfa28670e0a6c21c9ac791d5db4 | 11,341 | py | Python | intersight/model/niatelemetry_fabric_pod_ss_all_of.py | CiscoDevNet/intersight-python | 04b721f37c3044646a91c185c7259edfb991557a | [
"Apache-2.0"
] | 5 | 2021-12-16T15:13:32.000Z | 2022-03-29T16:09:54.000Z | intersight/model/niatelemetry_fabric_pod_ss_all_of.py | CiscoDevNet/intersight-python | 04b721f37c3044646a91c185c7259edfb991557a | [
"Apache-2.0"
] | 4 | 2022-01-25T19:05:51.000Z | 2022-03-29T20:18:37.000Z | intersight/model/niatelemetry_fabric_pod_ss_all_of.py | CiscoDevNet/intersight-python | 04b721f37c3044646a91c185c7259edfb991557a | [
"Apache-2.0"
] | 2 | 2020-07-07T15:01:08.000Z | 2022-01-31T04:27:35.000Z | """
Cisco Intersight
Cisco Intersight is a management platform delivered as a service with embedded analytics for your Cisco and 3rd party IT infrastructure. This platform offers an intelligent level of management that enables IT organizations to analyze, simplify, and automate their environments in more advan... | 52.748837 | 1,678 | 0.635129 |
e012651d24a784d1e0744c54bf37a121714336bf | 6,648 | py | Python | tests/python/unittest/test_numpy_default_dtype.py | t-triobox/incubator-mxnet | 93aa9e33fcb2f216179c691ed9461bc96e37ae70 | [
"Apache-2.0"
] | 1 | 2021-11-09T01:40:17.000Z | 2021-11-09T01:40:17.000Z | tests/python/unittest/test_numpy_default_dtype.py | t-triobox/incubator-mxnet | 93aa9e33fcb2f216179c691ed9461bc96e37ae70 | [
"Apache-2.0"
] | null | null | null | tests/python/unittest/test_numpy_default_dtype.py | t-triobox/incubator-mxnet | 93aa9e33fcb2f216179c691ed9461bc96e37ae70 | [
"Apache-2.0"
] | 1 | 2018-07-19T00:43:30.000Z | 2018-07-19T00:43:30.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 29.678571 | 90 | 0.700812 |
dac5670c50150fa25ea8ccba465b17fa32a9aad4 | 2,816 | py | Python | library/scons-2.1.0/build/lib/SCons/Tool/ifl.py | zhaomangang/ElectromagneticDog | 471346f1c174861de690647c59d4f2a94be23e89 | [
"Apache-2.0"
] | 99 | 2017-08-08T01:37:45.000Z | 2021-05-15T14:39:43.000Z | library/scons-2.1.0/build/lib/SCons/Tool/ifl.py | zhaomangang/ElectromagneticDog | 471346f1c174861de690647c59d4f2a94be23e89 | [
"Apache-2.0"
] | 3 | 2017-08-23T06:39:15.000Z | 2019-09-06T18:18:17.000Z | library/scons-2.1.0/build/lib/SCons/Tool/ifl.py | zhaomangang/ElectromagneticDog | 471346f1c174861de690647c59d4f2a94be23e89 | [
"Apache-2.0"
] | 41 | 2017-08-08T01:38:41.000Z | 2022-02-15T12:12:21.000Z | """SCons.Tool.ifl
Tool-specific initialization for the Intel Fortran compiler.
There normally shouldn't be any need to import this module directly.
It will usually be imported through the generic SCons.Tool.Tool()
selection method.
"""
#
# Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 20... | 38.575342 | 121 | 0.730469 |
5096b99527ce5dd8a902dcab28d480b7c967c819 | 3,042 | py | Python | utils/events.py | sensianhermes/SENSIUSERBOT | 51473a0a98861192901fb5cc3dc297447a821daa | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 4 | 2022-03-03T01:31:48.000Z | 2022-03-26T00:15:41.000Z | utils/events.py | sensianhermes/SENSIUSERBOT | 51473a0a98861192901fb5cc3dc297447a821daa | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 1 | 2022-03-16T02:54:27.000Z | 2022-03-17T09:17:12.000Z | utils/events.py | sensianhermes/SENSIUSERBOT | 51473a0a98861192901fb5cc3dc297447a821daa | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 3 | 2022-03-12T00:13:54.000Z | 2022-03-14T07:05:04.000Z | import pybase64
from telethon.tl.functions.channels import JoinChannelRequest as Get
from telethon.tl.types import MessageEntityMentionName
from .logger import logging
from .tools import edit_delete
LOGS = logging.getLogger(__name__)
async def get_user_from_event(
event, manevent=None, secondgroup=None, nogroup... | 34.965517 | 86 | 0.568047 |
148f64076cc0d592d5b7370e477d0bfd9a8ac24b | 601 | py | Python | inscrawler/logger.py | aonurdemir/instagram-crawler | ffb11e3f10ab6ca276fecd4ca527b7661db2704d | [
"MIT"
] | null | null | null | inscrawler/logger.py | aonurdemir/instagram-crawler | ffb11e3f10ab6ca276fecd4ca527b7661db2704d | [
"MIT"
] | null | null | null | inscrawler/logger.py | aonurdemir/instagram-crawler | ffb11e3f10ab6ca276fecd4ca527b7661db2704d | [
"MIT"
] | null | null | null | import logging
# Create a custom logger
logger = logging.getLogger(__name__)
# Create handlers
c_handler = logging.StreamHandler()
f_handler = logging.FileHandler('file.log')
c_handler.setLevel(logging.WARNING)
f_handler.setLevel(logging.ERROR)
# Create formatters and add it to handlers
c_format = logging.Formatter(... | 28.619048 | 84 | 0.77371 |
3456ba6afcb20561bf90ac5db95ed5f3ee4439fb | 569 | py | Python | 2018/day02/part1.py | bsoyka/aoc | e5f1da6c693a1841394248863e591cfc3bcae0e7 | [
"MIT"
] | 3 | 2020-12-10T06:14:40.000Z | 2021-12-05T06:50:30.000Z | 2018/day02/part1.py | bsoyka/advent-of-code | e5f1da6c693a1841394248863e591cfc3bcae0e7 | [
"MIT"
] | 4 | 2020-03-21T18:42:51.000Z | 2021-12-04T06:57:13.000Z | 2018/day02/part1.py | bsoyka/solutions | e5f1da6c693a1841394248863e591cfc3bcae0e7 | [
"MIT"
] | null | null | null | from collections import Counter
from pathlib import Path
with (Path(__file__).parent / "input.txt").open() as f:
boxes = [line.strip() for line in f]
two_letters = 0
three_letters = 0
for box in boxes:
two = False
three = False
items = Counter(box).items()
for letter, count in items:
if c... | 23.708333 | 55 | 0.588752 |
b896ed7eb6fe4c5426841b4fa45fa5d87d4e027d | 708 | py | Python | {{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/users/models.py | Saymmic/cookiecutter-django | 4f32f1c096a842ff872728f5035a8092a16426d5 | [
"BSD-3-Clause"
] | null | null | null | {{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/users/models.py | Saymmic/cookiecutter-django | 4f32f1c096a842ff872728f5035a8092a16426d5 | [
"BSD-3-Clause"
] | null | null | null | {{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/users/models.py | Saymmic/cookiecutter-django | 4f32f1c096a842ff872728f5035a8092a16426d5 | [
"BSD-3-Clause"
] | null | null | null | from django.contrib.auth.models import AbstractUser
from django.db.models import CharField
from django.urls import reverse
from django.utils.translation import gettext_lazy as _
from {{ cookiecutter.project_slug }}.base.models import BaseModel
class User(BaseModel, AbstractUser):
"""
Default custom user mode... | 35.4 | 70 | 0.747175 |
35da63f90e5b062a6c70a401c7ff7049298e76f8 | 10,010 | py | Python | openfermioncirq/trotter/algorithms/linear_swap_network.py | mpharrigan/OpenFermion-Cirq | 623a2431227be3c2ff57a9d0d3a8aead6658ee26 | [
"Apache-2.0"
] | null | null | null | openfermioncirq/trotter/algorithms/linear_swap_network.py | mpharrigan/OpenFermion-Cirq | 623a2431227be3c2ff57a9d0d3a8aead6658ee26 | [
"Apache-2.0"
] | null | null | null | openfermioncirq/trotter/algorithms/linear_swap_network.py | mpharrigan/OpenFermion-Cirq | 623a2431227be3c2ff57a9d0d3a8aead6658ee26 | [
"Apache-2.0"
] | null | null | null | # Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distribu... | 39.254902 | 80 | 0.587113 |
8716c22b2742052fb18d2b89ad7f46b3fb4be27b | 3,352 | py | Python | tigerpath/majors_and_certificates/scripts/verifier_tester.py | richardhuangz/tigerpath | 6f57dc3dffbc773dba7d27cf5fe89b1c92d1b214 | [
"MIT"
] | 10 | 2020-07-23T15:41:17.000Z | 2021-11-29T02:25:54.000Z | tigerpath/majors_and_certificates/scripts/verifier_tester.py | richardhuangz/tigerpath | 6f57dc3dffbc773dba7d27cf5fe89b1c92d1b214 | [
"MIT"
] | 133 | 2018-07-13T05:05:10.000Z | 2022-03-08T22:05:59.000Z | tigerpath/majors_and_certificates/scripts/verifier_tester.py | churichard/tigerpath | 9eda53e171cbd4c97ae2178da2a9b4ca433a91d8 | [
"MIT"
] | 12 | 2018-08-19T07:02:34.000Z | 2021-12-23T02:14:41.000Z | #!/usr/bin/env python3
import json
import yaml
from pprint import pprint
import jsonschema # must be installed via pip
import os
import collections
import filecmp
import shutil
from . import verifier
DIR_PATH = os.path.dirname(os.path.realpath(__file__)) # the directory containing this file
SCHEMA_LOCATION = os.path.... | 47.211268 | 140 | 0.588604 |
106de0a74e7d2abaa269404accbf057da9564568 | 70,655 | py | Python | utils/model_utils.py | MIC-DKFZ/DetectionAndRegression | 40f3cb92ec6447767bd85b62a015b0d50e32ad26 | [
"Apache-2.0"
] | 40 | 2019-09-24T08:11:35.000Z | 2022-02-23T13:49:01.000Z | utils/model_utils.py | MIC-DKFZ/MedicalDetectionRegression | 40f3cb92ec6447767bd85b62a015b0d50e32ad26 | [
"Apache-2.0"
] | 13 | 2019-11-04T10:52:40.000Z | 2022-03-11T23:57:14.000Z | utils/model_utils.py | MIC-DKFZ/MedicalDetectionRegression | 40f3cb92ec6447767bd85b62a015b0d50e32ad26 | [
"Apache-2.0"
] | 22 | 2019-08-28T15:32:25.000Z | 2022-02-18T11:27:30.000Z | #!/usr/bin/env python
# Copyright 2019 Division of Medical Image Computing, German Cancer Research Center (DKFZ).
#
# 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... | 45.089343 | 144 | 0.621074 |
4409402fc2d1a6355bab21b28369a59ac9aeb66b | 1,922 | py | Python | challenges/fifo_animal_shelter/test_fifo_animal_shelter.py | scott-currie/data_structures_and_algorithms | 04c1f50c01dbe6ee15c3f0a1155cc2c9528bdd06 | [
"MIT"
] | null | null | null | challenges/fifo_animal_shelter/test_fifo_animal_shelter.py | scott-currie/data_structures_and_algorithms | 04c1f50c01dbe6ee15c3f0a1155cc2c9528bdd06 | [
"MIT"
] | null | null | null | challenges/fifo_animal_shelter/test_fifo_animal_shelter.py | scott-currie/data_structures_and_algorithms | 04c1f50c01dbe6ee15c3f0a1155cc2c9528bdd06 | [
"MIT"
] | null | null | null | from .fifo_animal_shelter import AnimalShelter
import pytest
@pytest.fixture
def dog_cat_dog():
shelter = AnimalShelter()
shelter.enqueue('dog')
shelter.enqueue('cat')
shelter.enqueue('dog')
return shelter
@pytest.fixture
def empty_shelter():
shelter = AnimalShelter()
return shelter
de... | 27.457143 | 71 | 0.704995 |
678aa0b96b739986579cd179d519e55a935e9714 | 55,067 | py | Python | src/radical/pilot/pmgr/launching/default.py | karahbit/radical.pilot | c611e1df781749deef899dcf5815728e1d8a962e | [
"MIT"
] | null | null | null | src/radical/pilot/pmgr/launching/default.py | karahbit/radical.pilot | c611e1df781749deef899dcf5815728e1d8a962e | [
"MIT"
] | null | null | null | src/radical/pilot/pmgr/launching/default.py | karahbit/radical.pilot | c611e1df781749deef899dcf5815728e1d8a962e | [
"MIT"
] | null | null | null | # pylint: disable=protected-access
__copyright__ = "Copyright 2013-2016, http://radical.rutgers.edu"
__license__ = "MIT"
import os
import copy
import math
import time
import pprint
import shutil
import tempfile
import radical.saga as rs
import radical.saga.filesystem as rsfs
import radical.utils ... | 40.760178 | 93 | 0.531661 |
043bb21c47d182c2fcba3568f19c143a836ec559 | 730 | py | Python | setup.py | zzhhss/django-queryset-exts | 5f6c94fa4d76b23523f525bd285a207b313db87b | [
"MIT"
] | 1 | 2019-09-24T03:10:12.000Z | 2019-09-24T03:10:12.000Z | setup.py | zzhhss/django-queryset-exts | 5f6c94fa4d76b23523f525bd285a207b313db87b | [
"MIT"
] | null | null | null | setup.py | zzhhss/django-queryset-exts | 5f6c94fa4d76b23523f525bd285a207b313db87b | [
"MIT"
] | null | null | null | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="django-queryset-exts",
version="0.0.1",
author="zzhhss",
author_email="clayhaw@163.com",
description="A django queryset with a select_related(or prefetch_related) like method to fetch remo... | 31.73913 | 124 | 0.675342 |
ecf39de3d9d93250d1ce24246477a1b6a42d9f04 | 390 | py | Python | languages/python/algorithm_hanoi.py | RohitAthithya/learntosolveit | fe1df98534d3af2fb3ba87c6540d9d8fa883c244 | [
"BSD-3-Clause"
] | 136 | 2015-03-06T18:11:21.000Z | 2022-03-10T22:31:40.000Z | languages/python/algorithm_hanoi.py | RohitAthithya/learntosolveit | fe1df98534d3af2fb3ba87c6540d9d8fa883c244 | [
"BSD-3-Clause"
] | 27 | 2015-01-07T01:38:03.000Z | 2021-12-22T19:20:15.000Z | languages/python/algorithm_hanoi.py | RohitAthithya/learntosolveit | fe1df98534d3af2fb3ba87c6540d9d8fa883c244 | [
"BSD-3-Clause"
] | 1,582 | 2015-01-01T20:37:06.000Z | 2022-03-30T12:29:24.000Z | #!/usr/bin/python
# Towers of Hanoi program.
disks = 3
from_tower = 'A'
to_tower = 'C'
using_tower = 'B'
def hanoi(n, from_tower, to_tower, using_tower):
if n > 0:
hanoi(n-1, from_tower, using_tower, to_tower)
print('move disk from ', from_tower, ' to ', to_tower)
hanoi(n-1, using_tower, t... | 24.375 | 62 | 0.666667 |
0b84ad88bd0cf6b3532fe18b373f4ad4b41d9685 | 634 | py | Python | day02/p2.py | pwicks86/adventofcode2016 | 331523e45095962f5e4614bdca15cc35e3243fdb | [
"MIT"
] | null | null | null | day02/p2.py | pwicks86/adventofcode2016 | 331523e45095962f5e4614bdca15cc35e3243fdb | [
"MIT"
] | null | null | null | day02/p2.py | pwicks86/adventofcode2016 | 331523e45095962f5e4614bdca15cc35e3243fdb | [
"MIT"
] | null | null | null | from operator import add
f = open('input.txt')
lines = [l.strip() for l in f.readlines()]
dirs = dict(L=(-1,0),R=(1,0),U=(0,-1),D=(0,1))
cur_pos = (0,2)
code = []
valid_positions = [(x,y) for x in range(1,4) for y in range(1,4)]
valid_positions.extend([(2,0),(0,2),(4,2),(2,4)])
codes = {(2,0):1,(1,1):2,(2,1):3,(3,1):4... | 33.368421 | 117 | 0.567823 |
a946f29eaee9b54b40ee242db98a39892826f9ba | 40,336 | py | Python | mmtbx/monomer_library/linking_mixins.py | whart222/cctbx_project | 32bb901af1431f845143eac06c244f20b1fbc26a | [
"BSD-3-Clause-LBNL"
] | 2 | 2018-02-01T14:25:48.000Z | 2021-09-15T16:36:29.000Z | mmtbx/monomer_library/linking_mixins.py | whart222/cctbx_project | 32bb901af1431f845143eac06c244f20b1fbc26a | [
"BSD-3-Clause-LBNL"
] | 2 | 2018-06-14T17:04:17.000Z | 2019-06-24T20:54:12.000Z | mmtbx/monomer_library/linking_mixins.py | whart222/cctbx_project | 32bb901af1431f845143eac06c244f20b1fbc26a | [
"BSD-3-Clause-LBNL"
] | null | null | null | from __future__ import absolute_import, division, print_function
import time
from cctbx import sgtbx
from cctbx import geometry_restraints
from mmtbx.monomer_library import linking_setup
from mmtbx.monomer_library import linking_utils
from mmtbx.monomer_library import glyco_utils
from mmtbx.monomer_library import bond... | 36.437218 | 129 | 0.551716 |
d4d579843618ccf39a8c898b2a9bb0c8dc980eef | 3,223 | py | Python | tests/test_stream.py | frenzymadness/module-build | a6adae2c0799c5987eda5bec57c768acd16c2226 | [
"MIT"
] | null | null | null | tests/test_stream.py | frenzymadness/module-build | a6adae2c0799c5987eda5bec57c768acd16c2226 | [
"MIT"
] | null | null | null | tests/test_stream.py | frenzymadness/module-build | a6adae2c0799c5987eda5bec57c768acd16c2226 | [
"MIT"
] | null | null | null | import pytest
from module_build.stream import ModuleStream, ModuleStreamContext
from tests import mock_mmdv3_and_version
def test_create_module_steam():
mmd, version = mock_mmdv3_and_version()
module_stream = ModuleStream(mmd, version)
expected_version = 20210925131649
assert module_stream.name =... | 33.572917 | 94 | 0.766677 |
ffba63721d0b9224d71fdec1fcec8c46c46427c4 | 3,981 | py | Python | tests/bulk/import_book.py | jnoortheen/django-import-export | e855fcf8ed43af4dd681435f516e9f50ee19613d | [
"BSD-2-Clause"
] | null | null | null | tests/bulk/import_book.py | jnoortheen/django-import-export | e855fcf8ed43af4dd681435f516e9f50ee19613d | [
"BSD-2-Clause"
] | null | null | null | tests/bulk/import_book.py | jnoortheen/django-import-export | e855fcf8ed43af4dd681435f516e9f50ee19613d | [
"BSD-2-Clause"
] | null | null | null | """
Helper module for testing bulk imports.
Test one of create / update or delete by uncommenting the relevant method calls in main().
Parameters can be modified to test the effect on imports.
The DB is cleared down after each test run.
Each run is profiled for duration and peak memory usage.
When testing deletes, d... | 29.058394 | 95 | 0.652097 |
7d17c0af0ebc86077c592190d11c670bcdc0adad | 2,020 | py | Python | harness/determined/tensorboard/fetchers/gcs.py | gh-determined-ai/determined | 9a1ab33a3a356b69681b3351629fef4ab98ddb56 | [
"Apache-2.0"
] | null | null | null | harness/determined/tensorboard/fetchers/gcs.py | gh-determined-ai/determined | 9a1ab33a3a356b69681b3351629fef4ab98ddb56 | [
"Apache-2.0"
] | null | null | null | harness/determined/tensorboard/fetchers/gcs.py | gh-determined-ai/determined | 9a1ab33a3a356b69681b3351629fef4ab98ddb56 | [
"Apache-2.0"
] | null | null | null | import datetime
import logging
import os
import posixpath
import urllib
from typing import Any, Dict, Generator, List, Tuple
from .base import Fetcher
logger = logging.getLogger(__name__)
class GCSFetcher(Fetcher):
def __init__(self, storage_config: Dict[str, Any], storage_paths: List[str], local_dir: str):
... | 33.666667 | 97 | 0.650495 |
0e559d73a5d2d5259be1b0447c42f2fa25dcbbc4 | 447 | py | Python | Wk09/Update.py | MichaelORegan/52957_DATA_REPRESENTATION | 2c9b360fe315c2235c6f47a6db4103d16984160c | [
"Apache-2.0"
] | null | null | null | Wk09/Update.py | MichaelORegan/52957_DATA_REPRESENTATION | 2c9b360fe315c2235c6f47a6db4103d16984160c | [
"Apache-2.0"
] | null | null | null | Wk09/Update.py | MichaelORegan/52957_DATA_REPRESENTATION | 2c9b360fe315c2235c6f47a6db4103d16984160c | [
"Apache-2.0"
] | null | null | null | import mysql.connector
db = mysql.connector.connect(
host="localhost",
user="root",
password="",
#user="datarep",
# # this is the user name on my mac
# #passwd="password"
# # for my mac
database="datarepresentation"
)
cursor = db.cursor()
sql="update student... | 22.35 | 57 | 0.58613 |
8b79933547395122cca00735ef2363d59f48d1ee | 505 | py | Python | setup.py | rl1987/trunnel | 48d506d225a424fb8dd5dc84c090cd2bf0886dd9 | [
"BSD-3-Clause"
] | null | null | null | setup.py | rl1987/trunnel | 48d506d225a424fb8dd5dc84c090cd2bf0886dd9 | [
"BSD-3-Clause"
] | null | null | null | setup.py | rl1987/trunnel | 48d506d225a424fb8dd5dc84c090cd2bf0886dd9 | [
"BSD-3-Clause"
] | null | null | null |
from distutils.core import setup
namespace = {}
exec(open("./lib/trunnel/__init__.py").read(), namespace)
setup(name='Trunnel',
version=namespace['__version__'],
description='Trunnel binary format parser',
author='Nick Mathewson',
author_email='nickm@torproject.org',
url='https://gitweb... | 28.055556 | 57 | 0.629703 |
c437f24ead8aa20d1627fa0d72f3fbc8d4b2f96b | 1,537 | py | Python | algorithms/baseline/Popular.py | rn5l/rsc18 | b0e74495d797605b19b0d302e6797c681ba7748b | [
"Apache-2.0"
] | 8 | 2018-10-08T15:10:17.000Z | 2021-04-25T09:09:17.000Z | algorithms/baseline/Popular.py | rn5l/rsc18 | b0e74495d797605b19b0d302e6797c681ba7748b | [
"Apache-2.0"
] | null | null | null | algorithms/baseline/Popular.py | rn5l/rsc18 | b0e74495d797605b19b0d302e6797c681ba7748b | [
"Apache-2.0"
] | 6 | 2018-10-15T14:20:28.000Z | 2021-12-20T23:02:35.000Z | '''
Created on 13.04.2018
@author: malte
'''
from algorithms.Model import Model
import pandas as pd
import numpy as np
import time
class MostPopular(Model):
'''
classdocs
'''
def __init__(self, remind=False, return_num_preds=500 ):
self.return_num_preds = return_num_preds
self.remi... | 33.413043 | 144 | 0.595966 |
3c4e01caaa1fd5fbeffa0584c78d4917f21d7dc3 | 660 | py | Python | 3_MapReduce Programming on MovieLens Data/solution/MapReduce/code/genreMapper.py | minakoyang/YY_Distributed_Cluster_Computing | 0284569e4a6d0312590acf9ead5cf23bbcd167c9 | [
"MIT"
] | null | null | null | 3_MapReduce Programming on MovieLens Data/solution/MapReduce/code/genreMapper.py | minakoyang/YY_Distributed_Cluster_Computing | 0284569e4a6d0312590acf9ead5cf23bbcd167c9 | [
"MIT"
] | null | null | null | 3_MapReduce Programming on MovieLens Data/solution/MapReduce/code/genreMapper.py | minakoyang/YY_Distributed_Cluster_Computing | 0284569e4a6d0312590acf9ead5cf23bbcd167c9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import sys
import csv
movieFile = "./movielens/movies.csv"
movieList = {}
with open(movieFile, mode = 'r') as infile:
reader = csv.reader(infile)
for row in reader:
movieList[row[0]] = {}
movieList[row[0]]["title"] = row[1]
movieList[row[0]]["genre"] = row[2]
... | 25.384615 | 53 | 0.578788 |
2ca454aa6194a1e7ddec81e322c15f58838aa707 | 1,946 | py | Python | ml_advisor/fund_clustering/plots.py | rucsa/thesis_diversification | 732591d0a9e8042b45853dd1abe7f8f6ba769c9f | [
"MIT"
] | null | null | null | ml_advisor/fund_clustering/plots.py | rucsa/thesis_diversification | 732591d0a9e8042b45853dd1abe7f8f6ba769c9f | [
"MIT"
] | null | null | null | ml_advisor/fund_clustering/plots.py | rucsa/thesis_diversification | 732591d0a9e8042b45853dd1abe7f8f6ba769c9f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jun 22 18:48:34 2018
@author: rucsa
"""
import numpy as np
import matplotlib.pyplot as plt
LABEL_COLOR_MAP = {0: '#FFF0F5',
1: '#7CFC00',
2: '#FFFACD',
3: '#CD5C5C',
4: '#FF1... | 29.484848 | 89 | 0.433196 |
b21a2091a928f5ba2fa0aad545d87e2d423a6f65 | 2,313 | py | Python | Others/Source/19/19.2/pie_test.py | silence0201/Learn-Python | 662da7c0e74221cedb445ba17d5cb1cd3af41c86 | [
"MIT"
] | 1 | 2018-05-30T01:38:23.000Z | 2018-05-30T01:38:23.000Z | Others/Source/19/19.2/pie_test.py | silence0201/Learn-Python | 662da7c0e74221cedb445ba17d5cb1cd3af41c86 | [
"MIT"
] | null | null | null | Others/Source/19/19.2/pie_test.py | silence0201/Learn-Python | 662da7c0e74221cedb445ba17d5cb1cd3af41c86 | [
"MIT"
] | null | null | null | # coding: utf-8
#########################################################################
# 网站: <a href="http://www.crazyit.org">疯狂Java联盟</a> #
# author yeeku.H.lee kongyeeku@163.com #
# #
# version... | 41.303571 | 74 | 0.405534 |
d62f4ae2632fe50f41569f4be8c53b51549dcab8 | 226 | py | Python | tests/test_cases.py | benthecarman/wasabi-acks | e9663d845e8f63f06e5e49737966fafa5e8a1eb4 | [
"MIT"
] | 43 | 2018-04-29T03:30:18.000Z | 2021-02-11T05:24:49.000Z | tests/test_cases.py | benthecarman/wasabi-acks | e9663d845e8f63f06e5e49737966fafa5e8a1eb4 | [
"MIT"
] | 46 | 2018-05-02T01:27:34.000Z | 2022-03-26T13:29:55.000Z | tests/test_cases.py | benthecarman/wasabi-acks | e9663d845e8f63f06e5e49737966fafa5e8a1eb4 | [
"MIT"
] | 11 | 2018-05-15T23:47:47.000Z | 2021-01-27T14:57:54.000Z | from bitcoin_acks.constants import PullRequestState
pull_requests_get_all_test_cases = [
(None, 105),
(None, 0),
(PullRequestState.OPEN, 20),
(PullRequestState.MERGED, 220),
(PullRequestState.CLOSED, 5)
]
| 22.6 | 51 | 0.712389 |
1b236cdc99bed2ddc4a710a41f2e98ec24ddbf09 | 29,763 | py | Python | pandas/_testing/__init__.py | aa-182758/pandas | 53b3dd53c7f2c3d24aa77d5a1bc531b1fcd45d70 | [
"BSD-3-Clause"
] | 2 | 2022-02-27T04:02:18.000Z | 2022-03-01T03:48:47.000Z | pandas/_testing/__init__.py | aa-182758/pandas | 53b3dd53c7f2c3d24aa77d5a1bc531b1fcd45d70 | [
"BSD-3-Clause"
] | 1 | 2022-03-08T02:15:07.000Z | 2022-03-08T02:15:07.000Z | pandas/_testing/__init__.py | aa-182758/pandas | 53b3dd53c7f2c3d24aa77d5a1bc531b1fcd45d70 | [
"BSD-3-Clause"
] | 2 | 2022-02-27T04:02:19.000Z | 2022-03-01T03:49:21.000Z | from __future__ import annotations
import collections
from datetime import datetime
from decimal import Decimal
from functools import wraps
import operator
import os
import re
import string
from typing import (
TYPE_CHECKING,
Callable,
ContextManager,
Counter,
Iterable,
)
import warnings
import nu... | 28.590778 | 88 | 0.639418 |
e80e6111f28d5f59fa00b4891e0c54daba1f9edb | 1,355 | py | Python | player.py | deluxghost/StatusEnhancer | 5f5cc339f3ce6393e4cf56c214636a677b296dc3 | [
"Apache-2.0"
] | null | null | null | player.py | deluxghost/StatusEnhancer | 5f5cc339f3ce6393e4cf56c214636a677b296dc3 | [
"Apache-2.0"
] | null | null | null | player.py | deluxghost/StatusEnhancer | 5f5cc339f3ce6393e4cf56c214636a677b296dc3 | [
"Apache-2.0"
] | null | null | null | import re
from typing import List
from steamid import SteamID
from utils import parse_time
line_pat = re.compile(r'^#\s+(?P<userid>\d+)\s+"(?P<name>.+)"\s+(?P<steamid>\S+)\s+(?P<other>.+)$')
class Player:
def __init__(self, userid: int, name: str, steamid: str, connected: str):
self.userid = userid
... | 25.566038 | 99 | 0.621402 |
f2127a6f448cf4ef56e7010ff072c449d6530587 | 8,496 | py | Python | tapiriik/settings.py | pmenzel/tapiriik | a86a0ffcd75621ba0dd2b7b6e4be38e872f37b60 | [
"Apache-2.0"
] | 1,445 | 2015-01-01T21:43:31.000Z | 2022-03-17T13:40:23.000Z | tapiriik/settings.py | pmenzel/tapiriik | a86a0ffcd75621ba0dd2b7b6e4be38e872f37b60 | [
"Apache-2.0"
] | 441 | 2015-01-02T03:37:49.000Z | 2022-03-31T18:18:03.000Z | tapiriik/settings.py | pmenzel/tapiriik | a86a0ffcd75621ba0dd2b7b6e4be38e872f37b60 | [
"Apache-2.0"
] | 333 | 2015-01-06T12:14:15.000Z | 2022-03-27T19:58:48.000Z | import os
from datetime import datetime
# Django settings for tapiriik project.
DEBUG = True
TEMPLATE_DEBUG = DEBUG
ADMINS = (
# ('Your Name', 'your_email@example.com'),
)
MANAGERS = ADMINS
ALLOWED_HOSTS = ["tapiriik.com", ".tapiriik.com", "localhost"]
USE_X_FORWARDED_HOST = True
# Local time zone for this in... | 30.342857 | 168 | 0.711982 |
fba7881a2c7a61227cf666fff59ac64348fb9f78 | 6,342 | py | Python | UMRFormer/experiment_planning/alternative_experiment_planning/patch_size/experiment_planner_3DUNet_isotropic_in_voxels.py | supersunshinefk/UMRFormer-Net | bf165ca2158a158f7c194c6201af2a4fcabe8742 | [
"MIT"
] | null | null | null | UMRFormer/experiment_planning/alternative_experiment_planning/patch_size/experiment_planner_3DUNet_isotropic_in_voxels.py | supersunshinefk/UMRFormer-Net | bf165ca2158a158f7c194c6201af2a4fcabe8742 | [
"MIT"
] | null | null | null | UMRFormer/experiment_planning/alternative_experiment_planning/patch_size/experiment_planner_3DUNet_isotropic_in_voxels.py | supersunshinefk/UMRFormer-Net | bf165ca2158a158f7c194c6201af2a4fcabe8742 | [
"MIT"
] | null | null | null | # Copyright 2020 Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany
#
# 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://w... | 54.672414 | 123 | 0.608168 |
ca515bda78aac057fe36c36868859629b0036b39 | 2,563 | py | Python | web/tests/functional/store/__init__.py | LebedevRI/codechecker | f4548444851e19c8cc7b8fd621f3dcdf987d7140 | [
"Apache-2.0"
] | null | null | null | web/tests/functional/store/__init__.py | LebedevRI/codechecker | f4548444851e19c8cc7b8fd621f3dcdf987d7140 | [
"Apache-2.0"
] | null | null | null | web/tests/functional/store/__init__.py | LebedevRI/codechecker | f4548444851e19c8cc7b8fd621f3dcdf987d7140 | [
"Apache-2.0"
] | null | null | null | # -------------------------------------------------------------------------
#
# Part of the CodeChecker project, under the Apache License v2.0 with
# LLVM Exceptions. See LICENSE for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
#
# ---------------------------------------------------... | 32.858974 | 77 | 0.687476 |
a721c12a0465bac6a5ccbcf71e51327e44837f9c | 122 | py | Python | fetal-head-segment/__main__.py | AbdulAhadKhan/fetal-head-segment | 89a33738947b2c9d755877261e666390a5cbee49 | [
"MIT"
] | null | null | null | fetal-head-segment/__main__.py | AbdulAhadKhan/fetal-head-segment | 89a33738947b2c9d755877261e666390a5cbee49 | [
"MIT"
] | 3 | 2020-06-26T21:01:08.000Z | 2021-09-08T02:14:55.000Z | fetal-head-segment/__main__.py | AbdulAhadKhan/fetal-head-segment | 89a33738947b2c9d755877261e666390a5cbee49 | [
"MIT"
] | null | null | null | import os
from command import execute
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '6'
if __name__ == '__main__':
execute()
| 15.25 | 40 | 0.713115 |
1dea9f19669ea8bf9e067c27b7ecf6c10a4a6594 | 2,686 | py | Python | utils/fixscatter.py | emit-sds/emit-sds-l1b | be5307fe6821a043971becdd33609b4cf89b1974 | [
"Apache-2.0"
] | null | null | null | utils/fixscatter.py | emit-sds/emit-sds-l1b | be5307fe6821a043971becdd33609b4cf89b1974 | [
"Apache-2.0"
] | null | null | null | utils/fixscatter.py | emit-sds/emit-sds-l1b | be5307fe6821a043971becdd33609b4cf89b1974 | [
"Apache-2.0"
] | null | null | null | #! /usr/bin/env python
#
# Copyright 2020 California Institute of Technology
#
# EMIT Radiometric Calibration code
# Author: David R Thompson, david.r.thompson@jpl.nasa.gov
import scipy.linalg
import os, sys
import numpy as np
from spectral.io import envi
import json
import logging
import argparse
from numba import j... | 28.273684 | 77 | 0.669397 |
9eb0e9c200821f2aa71f9f74afeed1e4b2d4e475 | 8,828 | py | Python | src/img_dataset/TF_flowers.py | wenxichen/tensorflow_yolo2 | f040d9932816d8b2f8d7a67231060f0beea821d4 | [
"MIT"
] | 25 | 2017-05-15T08:44:26.000Z | 2019-09-05T05:23:59.000Z | src/img_dataset/TF_flowers.py | wenxichen/tensorflow_yolo2 | f040d9932816d8b2f8d7a67231060f0beea821d4 | [
"MIT"
] | 5 | 2017-05-16T07:18:47.000Z | 2018-02-14T08:22:56.000Z | src/img_dataset/TF_flowers.py | wenxichen/tensorflow_yolo2 | f040d9932816d8b2f8d7a67231060f0beea821d4 | [
"MIT"
] | 10 | 2017-07-03T13:27:27.000Z | 2018-11-21T13:10:16.000Z | """ILSVRC 2017 Classicifation Dataset.
Use val_split to set the portion for validation set.
"""
import os
import cv2
import math
import numpy as np
import random
import pickle
import copy
from tqdm import trange, tqdm
import config as cfg
class tf_flowers:
def __init__(self, val_split, rebuild=False, data_aug=... | 39.587444 | 89 | 0.543838 |
8b2eb2fcddf510f9a1f5c478a8ead42d71618ddc | 393 | py | Python | setup.py | marcvinyals/problemtools | e55f97112c9385ed7df1aed1f7b45c516195389e | [
"MIT"
] | null | null | null | setup.py | marcvinyals/problemtools | e55f97112c9385ed7df1aed1f7b45c516195389e | [
"MIT"
] | null | null | null | setup.py | marcvinyals/problemtools | e55f97112c9385ed7df1aed1f7b45c516195389e | [
"MIT"
] | null | null | null | #!/usr/bin/python
from distutils.core import setup
setup(name='Kattis Problemtools',
version='1.1',
description='The Kattis Problem Tools',
maintainer='Per Austrin',
maintainer_email='austrin@kattis.com',
url='https://github.com/Kattis/problemtools',
packages=['problemtools','probl... | 28.071429 | 62 | 0.679389 |
fc20591bc3ac7a8520a5bf232c744f5df912316a | 1,408 | py | Python | api/models/song.py | donovandicks/datafy | 614d0ae409cfe5c5ed28679d25efa8a1fd34333e | [
"MIT"
] | null | null | null | api/models/song.py | donovandicks/datafy | 614d0ae409cfe5c5ed28679d25efa8a1fd34333e | [
"MIT"
] | 4 | 2021-12-07T05:56:28.000Z | 2021-12-07T05:56:48.000Z | api/models/song.py | donovandicks/datafy | 614d0ae409cfe5c5ed28679d25efa8a1fd34333e | [
"MIT"
] | null | null | null | """Query models for Spotify songs"""
from typing import Dict
from pydantic import BaseModel
from models.common import Query
class SongQuery(Query):
"""The query model for the `/songs` route"""
class Song(BaseModel):
"""The object model representing key elements of Spotify songs"""
content: str
"... | 22.709677 | 72 | 0.568892 |
6eab2cf250a2070e975db41592f44e058e71dd4e | 396 | py | Python | main08.py | rifhall/E02a-Control-Structures | 1452e03f5876afcf233213944e37acc5c6eb4335 | [
"MIT"
] | null | null | null | main08.py | rifhall/E02a-Control-Structures | 1452e03f5876afcf233213944e37acc5c6eb4335 | [
"MIT"
] | null | null | null | main08.py | rifhall/E02a-Control-Structures | 1452e03f5876afcf233213944e37acc5c6eb4335 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import sys
assert sys.version_info >= (3,7), "This script requires at least Python 3.7"
print('Greetings!')
color = ''
color = input("What is my favorite color? ")
while (color != 'red'):
color = color.lower().strip()
if (color == 'red'):
print('Correct!')
elif (color == '... | 22 | 76 | 0.583333 |
9200bcfcdaf6c29ad14847d40cfe84ac36a55622 | 22,666 | py | Python | lib/galaxy/tools/execute.py | brinkmanlab/galaxy | 8b5553ca9885f350491e0570b23e53fc13009226 | [
"CC-BY-3.0"
] | null | null | null | lib/galaxy/tools/execute.py | brinkmanlab/galaxy | 8b5553ca9885f350491e0570b23e53fc13009226 | [
"CC-BY-3.0"
] | null | null | null | lib/galaxy/tools/execute.py | brinkmanlab/galaxy | 8b5553ca9885f350491e0570b23e53fc13009226 | [
"CC-BY-3.0"
] | null | null | null | """
Once state information has been calculated, handle actually executing tools
from various states, tracking results, and building implicit dataset
collections from matched collections.
"""
import collections
import logging
from boltons.iterutils import remap
from galaxy import model
from galaxy.model.dataset_collec... | 47.024896 | 268 | 0.698138 |
737926222c3a1e912eaeb2e8b7cba6c01123cb49 | 828 | py | Python | pigpio_HCSR04.py | meigrafd/Sample-Code | 7065950dfd0728cfad66db08327f0efa4c26999c | [
"MIT"
] | 10 | 2017-02-08T18:36:09.000Z | 2021-03-31T04:22:25.000Z | pigpio_HCSR04.py | meigrafd/Sample-Code | 7065950dfd0728cfad66db08327f0efa4c26999c | [
"MIT"
] | 2 | 2017-01-30T22:15:43.000Z | 2017-09-01T21:49:29.000Z | pigpio_HCSR04.py | meigrafd/Sample-Code | 7065950dfd0728cfad66db08327f0efa4c26999c | [
"MIT"
] | 8 | 2017-02-09T12:33:47.000Z | 2021-04-03T13:34:33.000Z | import pigpio
import time
GPIO_TRIGGER = 20
GPIO_ECHO = 21
def distance():
gpio.write(GPIO_TRIGGER, pigpio.HIGH)
time.sleep(0.00001)
gpio.write(GPIO_TRIGGER, pigpio.LOW)
StartZeit = time.time()
StopZeit = time.time()
while gpio.read(GPIO_ECHO) == 0:
StartZeit = time.time()
while ... | 22.378378 | 64 | 0.620773 |
977379646fcfa6d369ef3913a7e658b5b9333486 | 9,243 | py | Python | CSCA08/A2_Checker_V2.py | Lemonsity/CSCA-Checkers | 79b9819e4e148c2d3235e65856eaf6c4d991926c | [
"MIT"
] | null | null | null | CSCA08/A2_Checker_V2.py | Lemonsity/CSCA-Checkers | 79b9819e4e148c2d3235e65856eaf6c4d991926c | [
"MIT"
] | null | null | null | CSCA08/A2_Checker_V2.py | Lemonsity/CSCA-Checkers | 79b9819e4e148c2d3235e65856eaf6c4d991926c | [
"MIT"
] | null | null | null | # Youzhang Mark Sun
# Oct 14, 2019
# 66 test cases
# designed for elevation.py 2019 fall semester
import unittest
import elevation as e # require elevation.py file
class A2CheckerV2(unittest.TestCase):
def setUp(self):
self.m_1 = [[1]]
self.m_2 = [[2, 3],
[5, 1]]
self... | 55.347305 | 181 | 0.574813 |
b8a65cf2245059e395bdbf9b815ef2740107d41e | 139 | py | Python | inference/preprocessors/__init__.py | narumiruna/inference-template | 4946f4de632c49a8b65b484a4eb77979da8d8208 | [
"MIT"
] | null | null | null | inference/preprocessors/__init__.py | narumiruna/inference-template | 4946f4de632c49a8b65b484a4eb77979da8d8208 | [
"MIT"
] | null | null | null | inference/preprocessors/__init__.py | narumiruna/inference-template | 4946f4de632c49a8b65b484a4eb77979da8d8208 | [
"MIT"
] | null | null | null | import sys
from ..utils import get_factory
from .dummy import DummyPreprocessor
PreprocessorFactory = get_factory(sys.modules[__name__])
| 19.857143 | 56 | 0.827338 |
976aed87b167dfbac1130de434f799b9ac9450fe | 8,308 | py | Python | website/addons/box/model.py | alexschiller/osf.io | 4122d4be152c6189142c2ebb19cfdee09c77035d | [
"Apache-2.0"
] | null | null | null | website/addons/box/model.py | alexschiller/osf.io | 4122d4be152c6189142c2ebb19cfdee09c77035d | [
"Apache-2.0"
] | null | null | null | website/addons/box/model.py | alexschiller/osf.io | 4122d4be152c6189142c2ebb19cfdee09c77035d | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import httplib as http
import logging
import os
from box import CredentialsV2, BoxClient
from box.client import BoxClientException
from modularodm import fields
from oauthlib.oauth2 import InvalidGrantError
import requests
from urllib3.exceptions import MaxRetryError
from framework.auth import... | 33.099602 | 144 | 0.597857 |
15364e979f3eb28ed94ca2842efa3465c725ee7c | 23,017 | py | Python | src/electionguard/guardian.py | john-s-morgan/electionguard-python | f0a25b0ac99fac5c8d4e3545055dbdd05968d021 | [
"MIT"
] | null | null | null | src/electionguard/guardian.py | john-s-morgan/electionguard-python | f0a25b0ac99fac5c8d4e3545055dbdd05968d021 | [
"MIT"
] | null | null | null | src/electionguard/guardian.py | john-s-morgan/electionguard-python | f0a25b0ac99fac5c8d4e3545055dbdd05968d021 | [
"MIT"
] | null | null | null | # pylint: disable=too-many-public-methods
# pylint: disable=too-many-instance-attributes
from dataclasses import dataclass
from typing import Callable, Dict, List, Optional, TypeVar
from .auxiliary import (
AuxiliaryKeyPair,
AuxiliaryPublicKey,
AuxiliaryDecrypt,
AuxiliaryEncrypt,
)
from .ballot import ... | 35.740683 | 110 | 0.686319 |
1ee045dc2780b935c50ae6764f41fbf123b73d79 | 3,112 | py | Python | plugins/dbnd-databricks/src/dbnd_databricks/databricks_config.py | ipattarapong/dbnd | 7bd65621c46c73e078eb628f994127ad4c7dbd1a | [
"Apache-2.0"
] | 224 | 2020-01-02T10:46:37.000Z | 2022-03-02T13:54:08.000Z | plugins/dbnd-databricks/src/dbnd_databricks/databricks_config.py | ipattarapong/dbnd | 7bd65621c46c73e078eb628f994127ad4c7dbd1a | [
"Apache-2.0"
] | 16 | 2020-03-11T09:37:58.000Z | 2022-01-26T10:22:08.000Z | plugins/dbnd-databricks/src/dbnd_databricks/databricks_config.py | ipattarapong/dbnd | 7bd65621c46c73e078eb628f994127ad4c7dbd1a | [
"Apache-2.0"
] | 24 | 2020-03-24T13:53:50.000Z | 2022-03-22T11:55:18.000Z | import logging
from typing import Dict, List
from dbnd import parameter
from dbnd._core.constants import SparkClusters
from dbnd._core.task.config import Config
from dbnd_spark.spark_config import SparkEngineConfig
logger = logging.getLogger(__name__)
class DatabricksCloud(object):
aws = "aws"
azure = "az... | 33.462366 | 123 | 0.693766 |
3bf6a814d90349f5af8b33aedb01ead415d3b1a2 | 669 | py | Python | ramos/exceptions.py | luizrabachini/ramos | 5c2c1d2d848bf481eed4e8a9e784a485581b1615 | [
"MIT"
] | 30 | 2016-07-28T18:43:37.000Z | 2022-02-25T11:49:48.000Z | ramos/exceptions.py | luizrabachini/ramos | 5c2c1d2d848bf481eed4e8a9e784a485581b1615 | [
"MIT"
] | 66 | 2016-07-28T14:48:50.000Z | 2022-03-29T18:09:45.000Z | ramos/exceptions.py | luizrabachini/ramos | 5c2c1d2d848bf481eed4e8a9e784a485581b1615 | [
"MIT"
] | 12 | 2018-10-03T02:31:21.000Z | 2021-06-30T20:26:45.000Z | class InvalidBackendError(Exception):
"""
InvalidBackendError is raised when instances of BackendPool
can't get a backend implementation
"""
def __init__(self, backend_type, backend_id, available_backends):
self.backend_type = backend_type
self.backend_id = backend_id
self.a... | 31.857143 | 69 | 0.648729 |
0cf5e8148185f0800f104e9d37660bb3cbf5de2a | 7,909 | py | Python | namd_xtb.py | fhh2626/NAMD-xtb-QMMM-interface | 81aaac97791ffd6d7baaa162ab3d31684fe986bf | [
"MIT"
] | 5 | 2018-01-10T20:59:42.000Z | 2021-08-23T12:49:50.000Z | namd_xtb.py | fhh2626/NAMD-xtb-QMMM-interface | 81aaac97791ffd6d7baaa162ab3d31684fe986bf | [
"MIT"
] | null | null | null | namd_xtb.py | fhh2626/NAMD-xtb-QMMM-interface | 81aaac97791ffd6d7baaa162ab3d31684fe986bf | [
"MIT"
] | 4 | 2019-03-15T14:55:54.000Z | 2020-03-05T03:34:38.000Z | #!/usr/bin/python3
"""
NAMD-xtb interface v0.11 beta
by Haohao Fu
fhh2626_at_gmail.com
"""
"""
Readme:
this script enables NAMD-xtb QM/MM simulation and non-periodic
semi-emperial BOMD.
Electrostatic embedding was implemented. GFN-xtb hamiltonian
is used by default. If one wants to use othe... | 38.580488 | 107 | 0.56265 |
c42a95a88d3ba2cf966ae5a0d0c196328f040a8d | 9,044 | py | Python | sklearn_helpers/transformations.py | FlorisHoogenboom/sklearn-helpers | 7a8048130db1128b5f933029fceb1c216c6e9c5d | [
"MIT"
] | 1 | 2019-06-14T17:41:33.000Z | 2019-06-14T17:41:33.000Z | sklearn_helpers/transformations.py | FlorisHoogenboom/sklearn-helpers | 7a8048130db1128b5f933029fceb1c216c6e9c5d | [
"MIT"
] | null | null | null | sklearn_helpers/transformations.py | FlorisHoogenboom/sklearn-helpers | 7a8048130db1128b5f933029fceb1c216c6e9c5d | [
"MIT"
] | null | null | null | from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.utils import check_array
import pandas as pd
import numpy as np
class Transformer(BaseEstimator, TransformerMixin):
"""A helper class that turns a Python function that
transforms some data into a Scikit-Learn transformer.
Examples
... | 29.848185 | 85 | 0.591995 |
51162ec7a66becea73723ec54b465e0f2033dfe5 | 41,833 | py | Python | frappe-bench/env/lib/python2.7/site-packages/cssutils/serialize.py | ibrahmm22/library-management | b88a2129a5a2e96ce1f945ec8ba99a0b63b8c506 | [
"MIT"
] | null | null | null | frappe-bench/env/lib/python2.7/site-packages/cssutils/serialize.py | ibrahmm22/library-management | b88a2129a5a2e96ce1f945ec8ba99a0b63b8c506 | [
"MIT"
] | null | null | null | frappe-bench/env/lib/python2.7/site-packages/cssutils/serialize.py | ibrahmm22/library-management | b88a2129a5a2e96ce1f945ec8ba99a0b63b8c506 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""cssutils serializer"""
__all__ = ['CSSSerializer', 'Preferences']
__docformat__ = 'restructuredtext'
__version__ = '$Id$'
from cssutils.helper import normalize
import codecs
import cssutils
import helper
import re
import xml.dom
def _escapecss(e):
"""
Escapes c... | 34.601323 | 93 | 0.511032 |
cb338b1f4b5e92e2b423cc4fb29af7f994dbc9d1 | 26,126 | py | Python | src/clld/web/app.py | pepe-localhost/clld | 2d698b75d2e6019619be6b01d09f0c77cb865af4 | [
"MIT"
] | 1 | 2021-03-13T15:53:44.000Z | 2021-03-13T15:53:44.000Z | src/clld/web/app.py | pepe-localhost/clld | 2d698b75d2e6019619be6b01d09f0c77cb865af4 | [
"MIT"
] | null | null | null | src/clld/web/app.py | pepe-localhost/clld | 2d698b75d2e6019619be6b01d09f0c77cb865af4 | [
"MIT"
] | null | null | null | """Common functionality of clld Apps is cobbled together here."""
import re
import uuid
import pathlib
import datetime
import functools
import importlib
import collections
from sqlalchemy import engine_from_config
from sqlalchemy.orm import joinedload, undefer
from sqlalchemy.orm.exc import NoResultFound
from webob.r... | 37.216524 | 93 | 0.653181 |
cf31b8e357da352e6be0d4edeb612efcf9adc9c8 | 2,246 | py | Python | src/snc/simulation/store_data/numpy_encoder.py | dmcnamee/snc | c2da8c1e9ecdc42c59b9de73224b3d50ee1c9786 | [
"Apache-2.0"
] | 5 | 2021-03-24T16:23:10.000Z | 2021-11-17T12:44:51.000Z | src/snc/simulation/store_data/numpy_encoder.py | dmcnamee/snc | c2da8c1e9ecdc42c59b9de73224b3d50ee1c9786 | [
"Apache-2.0"
] | 3 | 2021-03-26T01:16:08.000Z | 2021-05-08T22:06:47.000Z | src/snc/simulation/store_data/numpy_encoder.py | dmcnamee/snc | c2da8c1e9ecdc42c59b9de73224b3d50ee1c9786 | [
"Apache-2.0"
] | 2 | 2021-03-24T17:20:06.000Z | 2021-04-19T09:01:12.000Z | from copy import deepcopy
import cvxpy as cvx
import json
import numpy as np
import re
from typing import Any, Dict
class NumpyEncoder(json.JSONEncoder):
"""
A JSON encoder that can handle numpy objects and convert to json.
"""
# Example taken from python.org docs
def default(self, o): # pylint: d... | 26.738095 | 95 | 0.596171 |
1138d719b0fac41d5b0ebf0f7c11363212419baf | 6,984 | py | Python | build/lib/XMC/loaders/loader_libsvm.py | Stomach-ache/GLaS | 253092cce1922711e7d9c9df601f117f3ec56e0c | [
"MIT"
] | 2 | 2020-07-13T05:13:50.000Z | 2021-04-26T12:09:32.000Z | build/lib/XMC/loaders/loader_libsvm.py | Stomach-ache/GLaS | 253092cce1922711e7d9c9df601f117f3ec56e0c | [
"MIT"
] | 4 | 2020-01-10T10:54:52.000Z | 2020-01-15T10:14:15.000Z | build/lib/XMC/loaders/loader_libsvm.py | pyschedelicsid/GlasXC | eb3077d7c1aa9ca25798b4c5d5dd95ce36fe5a4e | [
"MIT"
] | 2 | 2021-01-26T07:27:16.000Z | 2021-04-28T13:38:03.000Z | import os
import torch
import itertools
import numpy as np
import torch.utils.data
from scipy.sparse import csr_matrix
def _parse_data_point(data_point):
"""
Function to parse a row representing one input-output(s) pair in the LIBSVM format
Args:
data_point : row string
Returns:
(cl... | 40.842105 | 99 | 0.601518 |
366a71db6569a4e5bb7d2a39506b9253fd14e63a | 3,236 | py | Python | testAppium/unit/testcase/result_activity/result_activity.py | moulage/appium-android | 082e4018673fecd260552d758f8a8ba154838b9a | [
"Apache-2.0"
] | null | null | null | testAppium/unit/testcase/result_activity/result_activity.py | moulage/appium-android | 082e4018673fecd260552d758f8a8ba154838b9a | [
"Apache-2.0"
] | null | null | null | testAppium/unit/testcase/result_activity/result_activity.py | moulage/appium-android | 082e4018673fecd260552d758f8a8ba154838b9a | [
"Apache-2.0"
] | null | null | null | # !/usr/bin/env python
# -*- coding = utf-8 -*-
# @Author:wanghui
# @Time:
# @File:result_activity.py
import os
from time import sleep
from testAppium.unit.common.webdriverUnit import WebdriverUnit
from testAppium.unit.common import toolUnits
from testAppium.unit.testcase.result_activity import result_units
PATH = ... | 42.025974 | 102 | 0.751545 |
459fc0a9659b9cc3d80dd4a2bb0aad136ef9c603 | 3,183 | py | Python | DPGAnalysis/Skims/python/cosmicTPSkim_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | DPGAnalysis/Skims/python/cosmicTPSkim_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | DPGAnalysis/Skims/python/cosmicTPSkim_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | import FWCore.ParameterSet.Config as cms
from TrackPropagation.SteppingHelixPropagator.SteppingHelixPropagatorAny_cfi import *
cosmictrackfinderP5TkCntFilter = cms.EDFilter("TrackCountFilter",
src = cms.InputTag('cosmictrackfinderP5'),
... | 64.959184 | 124 | 0.659441 |
ec3f3c4a5b72492d3c8e2c98dc0b52818b70ce63 | 1,775 | py | Python | angr/procedures/definitions/win32_xaudio2_8.py | r4b3rt/angr | c133cfd4f83ffea2a1d9e064241e9459eaabc55f | [
"BSD-2-Clause"
] | null | null | null | angr/procedures/definitions/win32_xaudio2_8.py | r4b3rt/angr | c133cfd4f83ffea2a1d9e064241e9459eaabc55f | [
"BSD-2-Clause"
] | null | null | null | angr/procedures/definitions/win32_xaudio2_8.py | r4b3rt/angr | c133cfd4f83ffea2a1d9e064241e9459eaabc55f | [
"BSD-2-Clause"
] | null | null | null | # pylint:disable=line-too-long
import logging
from ...sim_type import SimTypeFunction, SimTypeShort, SimTypeInt, SimTypeLong, SimTypeLongLong, SimTypeDouble, SimTypeFloat, SimTypePointer, SimTypeChar, SimStruct, SimTypeFixedSizeArray, SimTypeBottom, SimUnion, SimTypeBool
from ...calling... | 59.166667 | 353 | 0.734085 |
a971d5bdfc5268f654f8507ea432f17dbddd56b4 | 2,603 | py | Python | aliyun-python-sdk-ecs/aliyunsdkecs/request/v20140526/RemoveTagsRequest.py | jia-jerry/aliyun-openapi-python-sdk | e90f3683a250cfec5b681b5f1d73a68f0dc9970d | [
"Apache-2.0"
] | null | null | null | aliyun-python-sdk-ecs/aliyunsdkecs/request/v20140526/RemoveTagsRequest.py | jia-jerry/aliyun-openapi-python-sdk | e90f3683a250cfec5b681b5f1d73a68f0dc9970d | [
"Apache-2.0"
] | 1 | 2020-05-31T14:51:47.000Z | 2020-05-31T14:51:47.000Z | aliyun-python-sdk-ecs/aliyunsdkecs/request/v20140526/RemoveTagsRequest.py | jia-jerry/aliyun-openapi-python-sdk | e90f3683a250cfec5b681b5f1d73a68f0dc9970d | [
"Apache-2.0"
] | null | null | null | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 36.152778 | 89 | 0.749904 |
e9b68dc18850312aed7abc03e4d32aa9db2cb939 | 5,666 | py | Python | newrelic_plugin_agent/plugins/apache_httpd.py | hakonber/newrelic-plugin-agent | 38f7cc011f1b279a4afbf9c7e932fbc5f99475f9 | [
"BSD-3-Clause"
] | null | null | null | newrelic_plugin_agent/plugins/apache_httpd.py | hakonber/newrelic-plugin-agent | 38f7cc011f1b279a4afbf9c7e932fbc5f99475f9 | [
"BSD-3-Clause"
] | null | null | null | newrelic_plugin_agent/plugins/apache_httpd.py | hakonber/newrelic-plugin-agent | 38f7cc011f1b279a4afbf9c7e932fbc5f99475f9 | [
"BSD-3-Clause"
] | 1 | 2021-02-17T09:47:53.000Z | 2021-02-17T09:47:53.000Z | """
ApacheHTTPD Support
"""
import logging
import re
from newrelic_plugin_agent.plugins import base
LOGGER = logging.getLogger(__name__)
PATTERN = re.compile(r'^([\w\s{1}]+):\s([\d\.{1}]+)', re.M)
class ApacheHTTPD(base.HTTPStatsPlugin):
DEFAULT_QUERY = 'auto'
GUID = 'com.meetme.newrelic_apache_httpd_age... | 45.328 | 111 | 0.461525 |
8434b438f2ac7ed062a3f545bad540039f044429 | 3,888 | py | Python | python/kerasSlidingForecast.py | Jacopo47/ssd-project | 51b1f50dda29e7b9f16a62af8d5364d18a7c2863 | [
"MIT"
] | null | null | null | python/kerasSlidingForecast.py | Jacopo47/ssd-project | 51b1f50dda29e7b9f16a62af8d5364d18a7c2863 | [
"MIT"
] | 1 | 2019-12-04T15:37:47.000Z | 2019-12-07T15:45:13.000Z | python/kerasSlidingForecast.py | Jacopo47/ssd-project | 51b1f50dda29e7b9f16a62af8d5364d18a7c2863 | [
"MIT"
] | null | null | null | # Sliding window MLP, Airline Passengers dataset (predicts t+1)
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from keras.layers import Dense
from keras.models import Sequential
import common
# from series of values to windows matrix
# questa funzione calcola la finestra
def compute_windows(np... | 41.361702 | 119 | 0.692901 |
04dababa24602f942a294228f8f050ec35fcb2ec | 9,472 | py | Python | airflow/utils/context.py | npodewitz/airflow | 511ea702d5f732582d018dad79754b54d5e53f9d | [
"Apache-2.0"
] | 8,092 | 2016-04-27T20:32:29.000Z | 2019-01-05T07:39:33.000Z | airflow/utils/context.py | npodewitz/airflow | 511ea702d5f732582d018dad79754b54d5e53f9d | [
"Apache-2.0"
] | 2,961 | 2016-05-05T07:16:16.000Z | 2019-01-05T08:47:59.000Z | airflow/utils/context.py | npodewitz/airflow | 511ea702d5f732582d018dad79754b54d5e53f9d | [
"Apache-2.0"
] | 3,546 | 2016-05-04T20:33:16.000Z | 2019-01-05T05:14:26.000Z | #
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not... | 31.573333 | 107 | 0.669236 |
66fe04cfae2be053fecd93d3d4070c9ce7e6bc04 | 868 | py | Python | pennylane/templates/__init__.py | tobeyOguney/pennylane | 6f7449ce6529c4a35a6a07915bdbd7088f51b1d9 | [
"Apache-2.0"
] | 1 | 2021-06-05T23:46:32.000Z | 2021-06-05T23:46:32.000Z | pennylane/templates/__init__.py | israelferrazaraujo/pennylane | 0aaa797e17f3a010b564c3ffbb2fb3f8ad5d3de8 | [
"Apache-2.0"
] | null | null | null | pennylane/templates/__init__.py | israelferrazaraujo/pennylane | 0aaa797e17f3a010b564c3ffbb2fb3f8ad5d3de8 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 Xanadu Quantum Technologies Inc.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agre... | 33.384615 | 74 | 0.762673 |
f9848c1a7dc600ab6c86b87e9820a4fd0c5f3c90 | 45 | py | Python | py/builtin/__init__.py | woodrow/pyoac | b5dc59e6a38e7912db47f26fb23ffa4764a3c0e7 | [
"MIT"
] | 1 | 2019-05-27T00:58:46.000Z | 2019-05-27T00:58:46.000Z | py/builtin/__init__.py | woodrow/pyoac | b5dc59e6a38e7912db47f26fb23ffa4764a3c0e7 | [
"MIT"
] | null | null | null | py/builtin/__init__.py | woodrow/pyoac | b5dc59e6a38e7912db47f26fb23ffa4764a3c0e7 | [
"MIT"
] | null | null | null | """ backports and additions of builtins """
| 15 | 43 | 0.688889 |
9750c0ec906a25f4863090e990c5db8de77eb227 | 15,820 | py | Python | src/python/pants/reporting/reporting_server.py | areitz/pants | 9bfb3feb0272c05f36e190c9147091b97ee1950d | [
"Apache-2.0"
] | null | null | null | src/python/pants/reporting/reporting_server.py | areitz/pants | 9bfb3feb0272c05f36e190c9147091b97ee1950d | [
"Apache-2.0"
] | null | null | null | src/python/pants/reporting/reporting_server.py | areitz/pants | 9bfb3feb0272c05f36e190c9147091b97ee1950d | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2014 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import (absolute_import, division, generators, nested_scopes, print_function,
unicode_literals, with_statement)
import BaseHTTPServe... | 40.984456 | 99 | 0.669659 |
d0ac88e0aa5718ecf16db6c614f8cabeba46fdb6 | 1,155 | py | Python | exact-4-regular-u/main_exact_u_d2_25_d.py | mablem8/dandelion-simulations-py | c16893bac90207bf5fc0c80005189cab8c02238c | [
"CC0-1.0"
] | null | null | null | exact-4-regular-u/main_exact_u_d2_25_d.py | mablem8/dandelion-simulations-py | c16893bac90207bf5fc0c80005189cab8c02238c | [
"CC0-1.0"
] | null | null | null | exact-4-regular-u/main_exact_u_d2_25_d.py | mablem8/dandelion-simulations-py | c16893bac90207bf5fc0c80005189cab8c02238c | [
"CC0-1.0"
] | null | null | null | exec(open('./generate_graph.py').read())
exec(open('./regularize_graph.py').read())
exec(open('./generate_one_to_one_maps.py').read())
exec(open('./generate_adversary_observations.py').read())
exec(open('./generate_max_weight_matching.py').read())
exec(open('./calculate_precision.py').read())
n=100
d=2
ps=[0.25]
num_t... | 33 | 68 | 0.709091 |
3b0da50a2eb4ce92a402cd7546ab66758e6e6206 | 135 | py | Python | hola.py | financieras/coder | aecf02d6828d3a0c4d1c2b7cd935ed42545031b8 | [
"MIT"
] | null | null | null | hola.py | financieras/coder | aecf02d6828d3a0c4d1c2b7cd935ed42545031b8 | [
"MIT"
] | null | null | null | hola.py | financieras/coder | aecf02d6828d3a0c4d1c2b7cd935ed42545031b8 | [
"MIT"
] | null | null | null | #!/usr/bin/python
import sys
nombre=sys.argv[-1]
print("Hola "+nombre)
# se ejecuta desde la terminal tecleando:
# python3 hola.py Luis | 22.5 | 41 | 0.740741 |
231a1a10d94f29c435ad2aa74a76d906e1d8f506 | 154,697 | py | Python | pandas/core/index.py | ischwabacher/pandas | d17af6e41dd207620aa5f96d8d7fd2ffe4f5bac5 | [
"PSF-2.0",
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | pandas/core/index.py | ischwabacher/pandas | d17af6e41dd207620aa5f96d8d7fd2ffe4f5bac5 | [
"PSF-2.0",
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | pandas/core/index.py | ischwabacher/pandas | d17af6e41dd207620aa5f96d8d7fd2ffe4f5bac5 | [
"PSF-2.0",
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | # pylint: disable=E1101,E1103,W0232
import datetime
import warnings
import operator
from functools import partial
from pandas.compat import range, zip, lrange, lzip, u, reduce
from pandas import compat
import numpy as np
import pandas.tslib as tslib
import pandas.lib as lib
import pandas.algos as _algos
import pandas.... | 33.954565 | 120 | 0.550761 |
6633f6aeeece440a9f3667add45b39eb18d45fcc | 913 | py | Python | scripts/time_methods.py | Lila14/multimds | e54642e0ae47592321352f931f534881ca57d888 | [
"MIT"
] | 1 | 2019-10-29T12:33:57.000Z | 2019-10-29T12:33:57.000Z | scripts/time_methods.py | Lila14/multimds | e54642e0ae47592321352f931f534881ca57d888 | [
"MIT"
] | null | null | null | scripts/time_methods.py | Lila14/multimds | e54642e0ae47592321352f931f534881ca57d888 | [
"MIT"
] | null | null | null | from matplotlib import pyplot as plt
import numpy as np
chrom_sizes = np.loadtxt("chrom_sizes.txt")
plt.subplot2grid((10,10), (0,0), 9, 10, frameon=False)
maxs = []
for method in ("MultiMDS", "Independent_MDS"):
times = np.loadtxt("{}_times.txt".format(method))/60.
plt.scatter(chrom_sizes, times, label=" ".join(met... | 31.482759 | 97 | 0.715225 |
93a8c0256ef43256b305fafd63f3551d13818200 | 9,163 | py | Python | train.py | dlordtemplar/keras-base-rest | f225d6496ed2e876570eb29d0ba155a0d7b548ac | [
"MIT"
] | null | null | null | train.py | dlordtemplar/keras-base-rest | f225d6496ed2e876570eb29d0ba155a0d7b548ac | [
"MIT"
] | 6 | 2020-01-28T22:09:54.000Z | 2022-02-09T23:29:23.000Z | train.py | dlordtemplar/keras-base-rest | f225d6496ed2e876570eb29d0ba155a0d7b548ac | [
"MIT"
] | null | null | null | # SiameseLSTM_visualization_semeval.ipynb
import os
import notebook_util
print(notebook_util.list_available_gpus())
notebook_util.setup_one_gpu()
import tensorflow as tf
from keras.engine import Model
session_conf = tf.ConfigProto(intra_op_parallelism_threads=1, inter_op_parallelism_threads=1)
session_conf.gpu_opti... | 41.65 | 119 | 0.73142 |
6a05c3f9bd2c9f7e01d6fdb8a0bb478755787663 | 5,700 | py | Python | data_tracking/nifti_import.py | HBPMedical/data-tracking | f645a0d6426e6019c92d5aaf4be225cff2864417 | [
"Apache-2.0"
] | 5 | 2017-06-04T16:05:22.000Z | 2022-03-21T11:50:09.000Z | data_tracking/nifti_import.py | HBPMedical/data-tracking | f645a0d6426e6019c92d5aaf4be225cff2864417 | [
"Apache-2.0"
] | null | null | null | data_tracking/nifti_import.py | HBPMedical/data-tracking | f645a0d6426e6019c92d5aaf4be225cff2864417 | [
"Apache-2.0"
] | 2 | 2016-11-21T17:50:01.000Z | 2016-12-23T12:51:19.000Z | import logging
import re
from . import utils
#######################################################################################################################
# PUBLIC FUNCTIONS
#######################################################################################################################
def nifti2db... | 42.222222 | 119 | 0.604211 |
6fd4143b0002fc398cc1e9ab6dca334cdc39cfe6 | 3,020 | py | Python | Lib/fontTools/ttLib/tables/C_B_D_T_.py | anntzer/fonttools | 726cd67549956b985bbbe83e26fb0af9da59ddf7 | [
"MIT",
"BSD-3-Clause"
] | 2 | 2021-04-07T16:47:04.000Z | 2022-01-15T04:01:01.000Z | Lib/fontTools/ttLib/tables/C_B_D_T_.py | anntzer/fonttools | 726cd67549956b985bbbe83e26fb0af9da59ddf7 | [
"MIT",
"BSD-3-Clause"
] | 74 | 2020-01-30T07:27:54.000Z | 2021-08-03T05:47:17.000Z | Lib/fontTools/ttLib/tables/C_B_D_T_.py | anntzer/fonttools | 726cd67549956b985bbbe83e26fb0af9da59ddf7 | [
"MIT",
"BSD-3-Clause"
] | 1 | 2020-01-22T20:06:09.000Z | 2020-01-22T20:06:09.000Z | # Copyright 2013 Google, Inc. All Rights Reserved.
#
# Google Author(s): Matt Fontaine
from fontTools.misc.py23 import *
from fontTools.misc import sstruct
from . import E_B_D_T_
from .BitmapGlyphMetrics import BigGlyphMetrics, bigGlyphMetricsFormat, SmallGlyphMetrics, smallGlyphMetricsFormat
from .E_B_D_T_ import Bi... | 32.473118 | 114 | 0.768543 |
8ab6539fefc10906c9b80dea4a1fe17a24632dc6 | 3,421 | py | Python | gitlint-core/gitlint/tests/contrib/test_contrib_rules.py | carlsmedstad/gitlint | 3c017995633f602125f7caaa91e96bb767ca5953 | [
"MIT"
] | 559 | 2015-09-09T14:45:00.000Z | 2022-03-27T21:23:18.000Z | gitlint-core/gitlint/tests/contrib/test_contrib_rules.py | carlsmedstad/gitlint | 3c017995633f602125f7caaa91e96bb767ca5953 | [
"MIT"
] | 197 | 2015-09-11T01:49:20.000Z | 2022-03-30T01:22:34.000Z | gitlint-core/gitlint/tests/contrib/test_contrib_rules.py | carlsmedstad/gitlint | 3c017995633f602125f7caaa91e96bb767ca5953 | [
"MIT"
] | 97 | 2015-09-09T15:38:09.000Z | 2022-02-20T16:55:12.000Z | # -*- coding: utf-8 -*-
import os
from gitlint.tests.base import BaseTestCase
from gitlint.contrib import rules as contrib_rules
from gitlint.tests.contrib import rules as contrib_tests
from gitlint import rule_finder, rules
class ContribRuleTests(BaseTestCase):
CONTRIB_DIR = os.path.dirname(os.path.realpath(co... | 48.871429 | 118 | 0.679041 |
63ee52b52aff96cd5cc95d8352c6b8e5d57d5f90 | 56 | py | Python | tests/data/baz.py | mwtoews/absolufy-imports | e8d184d59900f29497bf9998c947d8fe43b7d8e3 | [
"MIT"
] | 76 | 2021-02-28T21:34:31.000Z | 2022-03-23T21:11:27.000Z | tests/data/baz.py | mwtoews/absolufy-imports | e8d184d59900f29497bf9998c947d8fe43b7d8e3 | [
"MIT"
] | 39 | 2021-03-01T16:47:44.000Z | 2022-03-21T21:48:49.000Z | tests/data/baz.py | mwtoews/absolufy-imports | e8d184d59900f29497bf9998c947d8fe43b7d8e3 | [
"MIT"
] | 6 | 2021-03-02T20:23:48.000Z | 2022-01-20T08:44:53.000Z | from mypackage.mysubpackage import B
print(T)
print(D)
| 11.2 | 36 | 0.785714 |
d1278567bbcd4c3c770620d8b6dfd20b4069b20f | 17,518 | py | Python | .compit/lib/python3.6/site-packages/tornado/test/httputil_test.py | constKutsy/GeoWiki | e336bb618ba00a993accd433a7cc78d87f291dbc | [
"Unlicense"
] | 90 | 2020-11-20T12:35:03.000Z | 2021-07-29T21:20:55.000Z | tornado/test/httputil_test.py | EnjoyLifeFund/Debian_py36_packages | 1985d4c73fabd5f08f54b922e73a9306e09c77a5 | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | 68 | 2016-12-12T20:38:47.000Z | 2020-07-26T18:28:49.000Z | tornado/test/httputil_test.py | EnjoyLifeFund/Debian_py36_packages | 1985d4c73fabd5f08f54b922e73a9306e09c77a5 | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | 120 | 2016-08-18T14:53:03.000Z | 2020-06-16T13:27:20.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
from tornado.httputil import url_concat, parse_multipart_form_data, HTTPHeaders, format_timestamp, HTTPServerRequest, parse_request_start_line, parse_cookie
from tornado.escape import utf8, native_str
from t... | 37.511777 | 156 | 0.579347 |
c05d43a76e776996cae8f60b9c7f79dfca3df78e | 169,245 | py | Python | lib-python/3/test/test_io.py | olliemath/pypy | 8b873bd0b8bf76075aba3d915c260789f26f5788 | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | lib-python/3/test/test_io.py | olliemath/pypy | 8b873bd0b8bf76075aba3d915c260789f26f5788 | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | lib-python/3/test/test_io.py | olliemath/pypy | 8b873bd0b8bf76075aba3d915c260789f26f5788 | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | """Unit tests for the io module."""
# Tests of io are scattered over the test suite:
# * test_bufio - tests file buffering
# * test_memoryio - tests BytesIO and StringIO
# * test_fileio - tests FileIO
# * test_file - tests the file interface
# * test_io - tests everything else in the io module
# * test_univnewlines - ... | 37.336201 | 103 | 0.576868 |
e3b65acff098067f466a764fb22505e72085444d | 37,557 | py | Python | espnet-semi-supervised/src/asrtts/asrtts_pytorch_5050.py | ElinaBaral/espnet_speech2speech | fb9a02f71339eb5494656c5ff2fdebf5051cd2cd | [
"Apache-2.0"
] | 1 | 2021-02-05T03:33:52.000Z | 2021-02-05T03:33:52.000Z | espnet-semi-supervised/src/asrtts/asrtts_pytorch_5050.py | ElinaBaral/espnet_speech2speech | fb9a02f71339eb5494656c5ff2fdebf5051cd2cd | [
"Apache-2.0"
] | null | null | null | espnet-semi-supervised/src/asrtts/asrtts_pytorch_5050.py | ElinaBaral/espnet_speech2speech | fb9a02f71339eb5494656c5ff2fdebf5051cd2cd | [
"Apache-2.0"
] | 1 | 2021-02-05T03:33:54.000Z | 2021-02-05T03:33:54.000Z | #!/usr/bin/env python
# Copyright 2017 Johns Hopkins University (Shinji Watanabe)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
import copy
import json
import logging
import math
import numpy as np
import random
import os
import pickle
import sys
# chainer related
import chainer
from chainer import r... | 43.519119 | 141 | 0.615917 |
9de1a32e0db9813fd27fb0341a22a8d5a677f9ba | 33,844 | py | Python | test/rebuild/test.1.py | katonori/cxxtags | 2730adb040d1334caa1a9ae7e468f498e094d254 | [
"BSD-3-Clause"
] | null | null | null | test/rebuild/test.1.py | katonori/cxxtags | 2730adb040d1334caa1a9ae7e468f498e094d254 | [
"BSD-3-Clause"
] | null | null | null | test/rebuild/test.1.py | katonori/cxxtags | 2730adb040d1334caa1a9ae7e468f498e094d254 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/python
import sys
import os
sys.path.append("../../src/")
sys.path.append("../util/")
import commands
import common
CXXTAGS_QUERY = "../../bin/cxxtags_query"
if len(sys.argv) != 2:
print "usage: cmd db_file"
exit(1)
cur_dir = os.getcwd()
db_dir = sys.argv[1]
q_list = [
"decl "+db_dir+" "+cur_dir... | 38.198646 | 75 | 0.627704 |
5626002249a49dd81cef065dde2340ebe6b68de3 | 87,231 | py | Python | plugins/modules/oci_data_safe_security_assessment_comparison_facts.py | slmjy/oci-ansible-collection | 349c91e2868bf4706a6e3d6fb3b47fc622bfe11b | [
"Apache-2.0"
] | 108 | 2020-05-19T20:46:10.000Z | 2022-03-25T14:10:01.000Z | plugins/modules/oci_data_safe_security_assessment_comparison_facts.py | slmjy/oci-ansible-collection | 349c91e2868bf4706a6e3d6fb3b47fc622bfe11b | [
"Apache-2.0"
] | 90 | 2020-06-14T22:07:11.000Z | 2022-03-07T05:40:29.000Z | plugins/modules/oci_data_safe_security_assessment_comparison_facts.py | slmjy/oci-ansible-collection | 349c91e2868bf4706a6e3d6fb3b47fc622bfe11b | [
"Apache-2.0"
] | 42 | 2020-08-30T23:09:12.000Z | 2022-03-25T16:58:01.000Z | #!/usr/bin/python
# Copyright (c) 2020, 2021 Oracle and/or its affiliates.
# This software is made available to you under the terms of the GPL 3.0 license or the Apache 2.0 license.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# Apache License v2.0
# See LICENSE.TXT for d... | 53.946197 | 159 | 0.350288 |
29d3a881498a895cec9d9309a8a83480eeafd6af | 47,096 | py | Python | django/test/testcases.py | denisenkom/django | db21cab162168d5b0ef271dd572f4332e0897c37 | [
"BSD-3-Clause"
] | null | null | null | django/test/testcases.py | denisenkom/django | db21cab162168d5b0ef271dd572f4332e0897c37 | [
"BSD-3-Clause"
] | null | null | null | django/test/testcases.py | denisenkom/django | db21cab162168d5b0ef271dd572f4332e0897c37 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import unicode_literals
from copy import copy
import difflib
import errno
from functools import wraps
import json
import os
import posixpath
import re
import sys
import threading
import unittest
from unittest import skipIf # Imported here for backward compatibility
from unittest.util import saf... | 41.23993 | 97 | 0.601261 |
8fb0759471d04a6d2affc8ccbe3bec93de724a61 | 8,148 | py | Python | webapp/api/Object/users.py | SCcagg5/My_Youtube | 6234b655ceb18a85d9bdd2c5837ce625c495d07b | [
"MIT"
] | null | null | null | webapp/api/Object/users.py | SCcagg5/My_Youtube | 6234b655ceb18a85d9bdd2c5837ce625c495d07b | [
"MIT"
] | null | null | null | webapp/api/Object/users.py | SCcagg5/My_Youtube | 6234b655ceb18a85d9bdd2c5837ce625c495d07b | [
"MIT"
] | null | null | null | import json, datetime, time
import jwt
import hashlib
import time
import base64
import os
import re
import uuid
import phonenumbers
from .mail import Mailer
from .sql import sql
class user:
def __init__(self, id = -1):
self.id = str(id)
def gettoken(self, id = None):
id = self... | 43.572193 | 216 | 0.518409 |
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