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ffad4729a0ab2ddd177f2677d26fcdeafd55e261 | 1,504 | py | Python | python/8.py | dpetker/project-euler | d232367d5f21821871c53d6ecc43c8d6af801d2c | [
"MIT"
] | null | null | null | python/8.py | dpetker/project-euler | d232367d5f21821871c53d6ecc43c8d6af801d2c | [
"MIT"
] | null | null | null | python/8.py | dpetker/project-euler | d232367d5f21821871c53d6ecc43c8d6af801d2c | [
"MIT"
] | null | null | null | # Soultion for Project Euler Problem #8 - https://projecteuler.net/problem=8
# (c) 2017 dpetker
TEST_VAL = '7316717653133062491922511967442657474235534919493496983520312774506326239578318016984801869478851843858615607891129494954595017379583319528532088055111254069874715852386305071569329096329522744304355766896648950... | 71.619048 | 1,013 | 0.90359 | # Soultion for Project Euler Problem #8 - https://projecteuler.net/problem=8
# (c) 2017 dpetker
TEST_VAL = '7316717653133062491922511967442657474235534919493496983520312774506326239578318016984801869478851843858615607891129494954595017379583319528532088055111254069874715852386305071569329096329522744304355766896648950... | 0 | 0 | 0 | 0 | 0 | 89 | 0 | 0 | 23 |
6eac3541878bf8483397909868c0b94d72499820 | 4,733 | py | Python | electionguard_verify/utils.py | nickboucher/PyVerify | 42f7aacaafc2455922e1c0b89d9a45e2b0e17915 | [
"MIT"
] | 1 | 2020-11-30T02:04:18.000Z | 2020-11-30T02:04:18.000Z | electionguard_verify/utils.py | nickboucher/electionguard-verify | 42f7aacaafc2455922e1c0b89d9a45e2b0e17915 | [
"MIT"
] | null | null | null | electionguard_verify/utils.py | nickboucher/electionguard-verify | 42f7aacaafc2455922e1c0b89d9a45e2b0e17915 | [
"MIT"
] | null | null | null | """ utils.py
Nicholas Boucher 2020
Utility functions for assisting in election verification
calculations.
"""
from typing import TypeVar
from logging import warning
from electionguard.ballot import CiphertextAcceptedBallot, CiphertextBallotContest, CiphertextBallotSelection
T: TypeVar = TypeVar('T')
d... | 37.267717 | 117 | 0.654764 | """ utils.py
Nicholas Boucher 2020
Utility functions for assisting in election verification
calculations.
"""
from typing import TypeVar, Iterable
from logging import info, warning
from electionguard.group import ElementModP, int_to_p
from electionguard.election import ElectionDescription, ContestDescript... | 0 | 0 | 0 | 2,549 | 0 | 0 | 0 | 143 | 135 |
0c3e2c67bfe44f727a088c6f877154b8fbe9995e | 8,453 | py | Python | tordatahub/models/types.py | jasonz93/python-tordatahub | 3a9a497d5a0bebf915d7e24049dd8b06099e3c04 | [
"Apache-2.0"
] | null | null | null | tordatahub/models/types.py | jasonz93/python-tordatahub | 3a9a497d5a0bebf915d7e24049dd8b06099e3c04 | [
"Apache-2.0"
] | null | null | null | tordatahub/models/types.py | jasonz93/python-tordatahub | 3a9a497d5a0bebf915d7e24049dd8b06099e3c04 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# 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... | 28.176667 | 95 | 0.659293 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# 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... | 0 | 51 | 0 | 5,174 | 0 | 1,345 | 0 | -35 | 337 |
9716ba57dde39ce137fcb1254e0cd19d311a0194 | 17,674 | py | Python | build/lib/mwahpy/mwah_handle_output.py | thomasdonlon/mwahpy | 9bcba0a5f3042beeccf2a9d6ca98d63331e1bef6 | [
"MIT"
] | 3 | 2020-09-27T16:22:36.000Z | 2022-03-23T22:00:55.000Z | build/lib/mwahpy/mwah_handle_output.py | thomasdonlon/mwahpy | 9bcba0a5f3042beeccf2a9d6ca98d63331e1bef6 | [
"MIT"
] | null | null | null | build/lib/mwahpy/mwah_handle_output.py | thomasdonlon/mwahpy | 9bcba0a5f3042beeccf2a9d6ca98d63331e1bef6 | [
"MIT"
] | 1 | 2020-09-27T16:22:42.000Z | 2020-09-27T16:22:42.000Z | #purpose: to take output from a MW@h .out file and produce workable data/plots to look at the resulting output in meaningful ways
#this is still too hard-coded for my liking, but it'll have to do for now
#i.e. if you want to add new attributes to the data class then you manually have to go through and fix the appending... | 44.518892 | 266 | 0.581928 | #purpose: to take output from a MW@h .out file and produce workable data/plots to look at the resulting output in meaningful ways
#this is still too hard-coded for my liking, but it'll have to do for now
#i.e. if you want to add new attributes to the data class then you manually have to go through and fix the appending... | 0 | 0 | 0 | 12,273 | 0 | 3,600 | 0 | 13 | 245 |
e3ba67c416417347a7f1ba1c65b86a55a4f9dc51 | 180 | py | Python | settings/production.py | kittenswolf/aid-bot | a4ad50339e8bf147a09652273ca2c456289ddbe4 | [
"BSD-3-Clause"
] | 1 | 2020-12-19T00:56:28.000Z | 2020-12-19T00:56:28.000Z | settings/production.py | kittenswolf/aid-bot | a4ad50339e8bf147a09652273ca2c456289ddbe4 | [
"BSD-3-Clause"
] | null | null | null | settings/production.py | kittenswolf/aid-bot | a4ad50339e8bf147a09652273ca2c456289ddbe4 | [
"BSD-3-Clause"
] | 2 | 2020-06-29T18:12:09.000Z | 2021-04-11T19:47:40.000Z | # -*- coding: utf-8 -*-
import logging
logging_level = logging.DEBUG
| 11.25 | 29 | 0.55 | # -*- coding: utf-8 -*-
import logging
logging_level = logging.DEBUG
class bot:
command_prefix = "p!"
startup_cogs = [
"cogs.play",
"cogs.logs"
]
| 0 | 0 | 0 | 84 | 0 | 0 | 0 | 0 | 23 |
baf797276a92fbd305a3c4fc7c578f4180394cd1 | 3,492 | py | Python | mycroft/interfaces/speech/wake_word_engines/pocketsphinx_engine.py | MatthewScholefield/mycroft-light | 95092ad3344ac95859952e94e280eb177e5c1c83 | [
"Apache-2.0"
] | 4 | 2018-03-30T01:27:04.000Z | 2018-11-23T10:06:34.000Z | mycroft/interfaces/speech/wake_word_engines/pocketsphinx_engine.py | MatthewScholefield/mycroft-light | 95092ad3344ac95859952e94e280eb177e5c1c83 | [
"Apache-2.0"
] | 3 | 2017-06-23T20:30:57.000Z | 2017-09-12T18:00:09.000Z | mycroft/interfaces/speech/wake_word_engines/pocketsphinx_engine.py | MatthewScholefield/mycroft-light | 95092ad3344ac95859952e94e280eb177e5c1c83 | [
"Apache-2.0"
] | 1 | 2017-06-27T18:35:37.000Z | 2017-06-27T18:35:37.000Z | # Copyright (c) 2019 Mycroft AI, Inc. and Matthew Scholefield
#
# This file is part of Mycroft Light
# (see https://github.com/MatthewScholefield/mycroft-light).
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for... | 36.757895 | 100 | 0.687572 | # Copyright (c) 2019 Mycroft AI, Inc. and Matthew Scholefield
#
# This file is part of Mycroft Light
# (see https://github.com/MatthewScholefield/mycroft-light).
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for... | 0 | 211 | 0 | 2,042 | 0 | 0 | 0 | 110 | 179 |
c6be566db161d80cfe06c759c8d713915e91c3f5 | 2,680 | py | Python | app/home/__init__.py | andres-hurtado-lopez/lramprodvent | 257533d4ec07dc9783bd706d6af7ec0ec22fd9c0 | [
"MIT"
] | null | null | null | app/home/__init__.py | andres-hurtado-lopez/lramprodvent | 257533d4ec07dc9783bd706d6af7ec0ec22fd9c0 | [
"MIT"
] | null | null | null | app/home/__init__.py | andres-hurtado-lopez/lramprodvent | 257533d4ec07dc9783bd706d6af7ec0ec22fd9c0 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
| 36.712329 | 187 | 0.666045 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from bottle import template, redirect
import utils
def GET(**params):
return template('home_index.html')
def ejemplos_bootstrap_grid_GET(**params):
return template("ejemplos_bootstrap_grid.html")
def ejemplos_bootstrap_fixed_GET(**params):
return template("e... | 0 | 0 | 0 | 0 | 0 | 2,329 | 0 | 7 | 298 |
51e4fed988ec3b764cbf12a2b577969e31033754 | 3,630 | py | Python | leetcode_python/Bit_Manipulation/number-of-1-bits.py | yennanliu/Python_basics | 6a597442d39468295946cefbfb11d08f61424dc3 | [
"Unlicense"
] | 18 | 2019-08-01T07:45:02.000Z | 2022-03-31T18:05:44.000Z | leetcode_python/Bit_Manipulation/number-of-1-bits.py | yennanliu/Python_basics | 6a597442d39468295946cefbfb11d08f61424dc3 | [
"Unlicense"
] | null | null | null | leetcode_python/Bit_Manipulation/number-of-1-bits.py | yennanliu/Python_basics | 6a597442d39468295946cefbfb11d08f61424dc3 | [
"Unlicense"
] | 15 | 2019-12-29T08:46:20.000Z | 2022-03-08T14:14:05.000Z | """
191. Number of 1 Bits (Hamming weight)
Easy
Share
Write a function that takes an unsigned integer and returns the number of '1' bits it has (also known as the Hamming weight).
Note:
Note that in some languages, such as Java, there is no unsigned integer type. In this case, the input will be given as a signed int... | 28.359375 | 278 | 0.637741 | """
191. Number of 1 Bits (Hamming weight)
Easy
Share
Write a function that takes an unsigned integer and returns the number of '1' bits it has (also known as the Hamming weight).
Note:
Note that in some languages, such as Java, there is no unsigned integer type. In this case, the input will be given as a signed int... | 0 | 0 | 0 | 1,260 | 0 | 0 | 0 | 0 | 132 |
0c5221c48bef1567e6b1d71ee6d2abedfba75e10 | 5,014 | py | Python | lstm_count.py | krrish94/learn_tensorflow | b5725bfbd09911e7c7342ab76eea07e294d5573c | [
"MIT"
] | null | null | null | lstm_count.py | krrish94/learn_tensorflow | b5725bfbd09911e7c7342ab76eea07e294d5573c | [
"MIT"
] | null | null | null | lstm_count.py | krrish94/learn_tensorflow | b5725bfbd09911e7c7342ab76eea07e294d5573c | [
"MIT"
] | null | null | null | # LSTM to count the number of '1's in a binary string
# Reference: https://becominghuman.ai/a-noobs-guide-to-implementing-rnn-lstm-using-tensorflow-1907a5bbb1fa
import numpy as np
import tensorflow as tf
"""
Parameters
"""
# Seed for all RNGs
rng_seed = 12345
np.random.seed(rng_seed)
tf.set_random_seed(rng_seed)
... | 28.327684 | 106 | 0.719186 | # LSTM to count the number of '1's in a binary string
# Reference: https://becominghuman.ai/a-noobs-guide-to-implementing-rnn-lstm-using-tensorflow-1907a5bbb1fa
import numpy as np
from random import shuffle
import tensorflow as tf
"""
Parameters
"""
# Seed for all RNGs
rng_seed = 12345
np.random.seed(rng_seed)
tf... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 22 |
883d14b1461d66ac48c971c5108dbca8ed428a76 | 1,445 | py | Python | python/167-TwoSumII.py | vermouth1992/Leetcode | 0d7dda52b12f9e01d88fc279243742cd8b4bcfd1 | [
"MIT"
] | null | null | null | python/167-TwoSumII.py | vermouth1992/Leetcode | 0d7dda52b12f9e01d88fc279243742cd8b4bcfd1 | [
"MIT"
] | null | null | null | python/167-TwoSumII.py | vermouth1992/Leetcode | 0d7dda52b12f9e01d88fc279243742cd8b4bcfd1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Given an array of integers that is already sorted in ascending order, find two numbers such that they add up to a specific target number.
The function twoSum should return indices of the two numbers such that they add up to the target, where index1 must be less than i... | 32.840909 | 137 | 0.640138 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Given an array of integers that is already sorted in ascending order, find two numbers such that they add up to a specific target number.
The function twoSum should return indices of the two numbers such that they add up to the target, where index1 must be less than i... | 225 | 0 | 0 | 553 | 0 | 0 | 0 | 0 | 24 |
b4420d340795295b5c6df067aacad1f7856079ba | 5,015 | py | Python | tests/test_bitwrap.py | bannsec/pfp | 32f2d34fdec1c70019fa83c7006d5e3be0f92fcd | [
"MIT"
] | 1 | 2018-01-01T12:52:33.000Z | 2018-01-01T12:52:33.000Z | tests/test_bitwrap.py | richinseattle/py010fuzz | 32f2d34fdec1c70019fa83c7006d5e3be0f92fcd | [
"MIT"
] | null | null | null | tests/test_bitwrap.py | richinseattle/py010fuzz | 32f2d34fdec1c70019fa83c7006d5e3be0f92fcd | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# encoding: utf-8
import os
import sys
import unittest
sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
import pfp
import pfp.errors
if __name__ == "__main__":
unittest.main()
| 30.579268 | 96 | 0.624526 | #!/usr/bin/env python
# encoding: utf-8
import os
import six
import struct
import sys
import unittest
sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
import pfp
import pfp.errors
from pfp.fields import *
import pfp.utils
from pfp.bitwrap import BitwrappedStream
import utils
class TestBitwrap(unit... | 0 | 0 | 0 | 4,647 | 0 | 0 | 0 | -11 | 156 |
22c5ffc18357605c1164abb92cfa365a095206d5 | 4,788 | py | Python | CarParkArcGisApi/CarParkArcGisApi/env/Lib/site-packages/arcgis/mapping/_utils.py | moazzamwaheed2017/carparkapi | e52ae1b2aed47321ce9d22ba6cd0b85fa60a417a | [
"MIT"
] | null | null | null | CarParkArcGisApi/CarParkArcGisApi/env/Lib/site-packages/arcgis/mapping/_utils.py | moazzamwaheed2017/carparkapi | e52ae1b2aed47321ce9d22ba6cd0b85fa60a417a | [
"MIT"
] | 9 | 2020-02-03T15:50:10.000Z | 2022-03-02T07:11:34.000Z | CarParkArcGisApi/CarParkArcGisApi/env/Lib/site-packages/arcgis/mapping/_utils.py | moazzamwaheed2017/carparkapi | e52ae1b2aed47321ce9d22ba6cd0b85fa60a417a | [
"MIT"
] | null | null | null | import logging as _logging
import arcgis
_log = _logging.getLogger(__name__)
_use_async = False
def _get_list_value(index, array):
"""
helper operation to loop a list of values regardless of the index value
Example:
>>> a = [111,222,333]
>>> list_loop(15, a)
111
"""
if len(array) =... | 38.926829 | 383 | 0.7099 | import logging as _logging
import arcgis
_log = _logging.getLogger(__name__)
_use_async = False
def _get_list_value(index, array):
"""
helper operation to loop a list of values regardless of the index value
Example:
>>> a = [111,222,333]
>>> list_loop(15, a)
111
"""
if len(array) =... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 26 |
4da290692a1a584cea7cacaa0f0a14b29df47e75 | 1,002 | py | Python | scenario3-clustering/docker/clustering/fileService.py | vietzd/qc-cloud-challenges | b239840b9924393f5c5e5939cea291b80e8198c5 | [
"Apache-2.0"
] | 3 | 2020-10-16T07:46:17.000Z | 2021-07-27T12:17:55.000Z | qhana/microservices/clustering/fileService.py | UST-QuAntiL/qhana | bf499d072dcc37f81efec1b8e17b7d5460db7a04 | [
"Apache-2.0"
] | null | null | null | qhana/microservices/clustering/fileService.py | UST-QuAntiL/qhana | bf499d072dcc37f81efec1b8e17b7d5460db7a04 | [
"Apache-2.0"
] | null | null | null | """
Author: Daniel Fink
Email: daniel-fink@outlook.com
"""
| 27.081081 | 72 | 0.653693 | """
Author: Daniel Fink
Email: daniel-fink@outlook.com
"""
import os
import aiohttp
class FileService:
"""
A service class for all kind of file access like downloads,
file deletion, folder deletion, ...
"""
@classmethod
def delete_if_exist(cls, *file_paths):
for file_path in file_pat... | 0 | 669 | 0 | 225 | 0 | 0 | 0 | -19 | 68 |
675143110b25e3987bef5bdf13fdd698811b50f5 | 1,251 | py | Python | var/spack/repos/builtin/packages/r-exactextractr/package.py | varioustoxins/spack | cab0e4cb240f34891a6d753f3393e512f9a99e9a | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | null | null | null | var/spack/repos/builtin/packages/r-exactextractr/package.py | varioustoxins/spack | cab0e4cb240f34891a6d753f3393e512f9a99e9a | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 6 | 2022-01-08T08:41:11.000Z | 2022-03-14T19:28:07.000Z | var/spack/repos/builtin/packages/r-exactextractr/package.py | foeroyingur/spack | 5300cbbb2e569190015c72d0970d25425ea38647 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | null | null | null | # Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
| 44.678571 | 95 | 0.723421 | # Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class RExactextractr(RPackage):
"""Fast Extraction from Raster Datasets using Polygons
Prov... | 0 | 0 | 0 | 1,009 | 0 | 0 | 0 | -2 | 46 |
101787d79ae009404ae396cdca46beb13ebed6be | 19,566 | py | Python | myprojectenv/lib/python3.5/site-packages/ansible/modules/network/cloudengine/ce_snmp_traps.py | lancerenteria/doFlask | 2d4e242469b108c6c8316ee18a540307497bfb53 | [
"MIT"
] | null | null | null | myprojectenv/lib/python3.5/site-packages/ansible/modules/network/cloudengine/ce_snmp_traps.py | lancerenteria/doFlask | 2d4e242469b108c6c8316ee18a540307497bfb53 | [
"MIT"
] | null | null | null | myprojectenv/lib/python3.5/site-packages/ansible/modules/network/cloudengine/ce_snmp_traps.py | lancerenteria/doFlask | 2d4e242469b108c6c8316ee18a540307497bfb53 | [
"MIT"
] | null | null | null | #!/usr/bin/python
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Ansible is distribut... | 35.639344 | 104 | 0.533425 | #!/usr/bin/python
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Ansible is distribut... | 0 | 0 | 0 | 13,725 | 0 | 0 | 0 | 70 | 46 |
e900cb25ac311208e0b435f3e7039d91abadad7f | 7,435 | py | Python | scripts/process-files.py | IBM/cpd-workshop-health-care | 5c84be0a3557578aada7616023ae439d4033eb34 | [
"Apache-2.0"
] | 2 | 2020-11-11T08:32:27.000Z | 2020-12-15T16:56:00.000Z | scripts/process-files.py | IBM/cpd-workshop-health-care | 5c84be0a3557578aada7616023ae439d4033eb34 | [
"Apache-2.0"
] | 1 | 2020-12-08T22:36:25.000Z | 2020-12-08T22:36:25.000Z | scripts/process-files.py | IBM/cpd-workshop-health-care | 5c84be0a3557578aada7616023ae439d4033eb34 | [
"Apache-2.0"
] | 1 | 2021-05-13T06:26:45.000Z | 2021-05-13T06:26:45.000Z | import sys
import os
import time
import argparse
BASE_DIR = "/Users/jrtorres/Documents/JRTDocs/Development/General_Projects/cpd-workshop-health-care/data/"
OUTPUT_DIR = "/Users/jrtorres/tmp/"
LOINC_CODES_NAMES = {
"8302-2": "Height",
"29463-7": "Weight",
"6690-2": "Leukocytes",
"789-8": "Erythrocy... | 49.238411 | 160 | 0.689307 | import csv
import datetime
import random
import sys
import os
import time
import argparse
import pandas as pd
import json
from pyspark.sql import SparkSession
from pyspark.sql.functions import col
BASE_DIR = "/Users/jrtorres/Documents/JRTDocs/Development/General_Projects/cpd-workshop-health-care/data/"
OUTPUT_DIR = "... | 0 | 0 | 0 | 0 | 0 | 4,695 | 0 | -6 | 224 |
f9cdc76f722ac504441daaa3a2cc12b337f137b8 | 584 | py | Python | evap/evaluation/migrations/0066_rename_course_is_required_for_reward.py | felixrindt/EvaP | fe65fcc511cc942695ce1edbaab170894f0d37b1 | [
"MIT"
] | 29 | 2020-02-28T23:03:41.000Z | 2022-02-19T09:29:36.000Z | evap/evaluation/migrations/0066_rename_course_is_required_for_reward.py | felixrindt/EvaP | fe65fcc511cc942695ce1edbaab170894f0d37b1 | [
"MIT"
] | 737 | 2015-01-02T17:43:25.000Z | 2018-12-10T20:45:10.000Z | evap/evaluation/migrations/0066_rename_course_is_required_for_reward.py | felixrindt/EvaP | fe65fcc511cc942695ce1edbaab170894f0d37b1 | [
"MIT"
] | 83 | 2015-01-14T12:39:41.000Z | 2018-10-29T16:36:43.000Z | # Generated by Django 2.0.5 on 2018-05-08 17:52
| 22.461538 | 79 | 0.597603 | # Generated by Django 2.0.5 on 2018-05-08 17:52
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('evaluation', '0065_questionnaire_type'),
]
operations = [
migrations.RenameField(
model_name='course',
old_name='is... | 0 | 0 | 0 | 470 | 0 | 0 | 0 | 19 | 46 |
58c2741b98c4a786da6cb5614ef1568fb36b7ea4 | 3,474 | py | Python | calculator.py | arpansarkar190794/Arpan_Sarkar | b36f66f0ed00668b005fae903ce463883a803fd5 | [
"bzip2-1.0.6"
] | null | null | null | calculator.py | arpansarkar190794/Arpan_Sarkar | b36f66f0ed00668b005fae903ce463883a803fd5 | [
"bzip2-1.0.6"
] | null | null | null | calculator.py | arpansarkar190794/Arpan_Sarkar | b36f66f0ed00668b005fae903ce463883a803fd5 | [
"bzip2-1.0.6"
] | null | null | null |
root = Tk()
my_gui = Calculator(root)
root.mainloop()
| 36.568421 | 127 | 0.578008 | from tkinter import *
class Calculator:
def __init__(self, master):
self.master = master
master.title("Python Calculator")
# create screen widget
self.screen = Text(master, state='disabled', width=30, height=3, background="yellow", foreground="blue")
# position... | 0 | 0 | 0 | 3,363 | 0 | 0 | 0 | 0 | 48 |
860f452e421076522902caa2d22053f6e0ab955f | 256 | py | Python | tools/mo/openvino/tools/mo/mo.py | IndiraSalyahova/openvino | ff2df42339e15645dc89095d4cd8ff032b4da250 | [
"Apache-2.0"
] | null | null | null | tools/mo/openvino/tools/mo/mo.py | IndiraSalyahova/openvino | ff2df42339e15645dc89095d4cd8ff032b4da250 | [
"Apache-2.0"
] | null | null | null | tools/mo/openvino/tools/mo/mo.py | IndiraSalyahova/openvino | ff2df42339e15645dc89095d4cd8ff032b4da250 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# Copyright (C) 2018-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
if __name__ == "__main__":
from subprocess_main import subprocess_main # pylint: disable=no-name-in-module
subprocess_main(framework=None)
| 25.6 | 84 | 0.75 | #!/usr/bin/env python3
# Copyright (C) 2018-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
if __name__ == "__main__":
from subprocess_main import subprocess_main # pylint: disable=no-name-in-module
subprocess_main(framework=None)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d0a137dc28fc14372d955c6d37be2c48ed58ce87 | 1,269 | py | Python | Day_25/inheritance.py | kiranrraj/100Days_Of_Coding | ab75d83be9be87fb7bc83a3f3b72a4638dab22a1 | [
"MIT"
] | null | null | null | Day_25/inheritance.py | kiranrraj/100Days_Of_Coding | ab75d83be9be87fb7bc83a3f3b72a4638dab22a1 | [
"MIT"
] | null | null | null | Day_25/inheritance.py | kiranrraj/100Days_Of_Coding | ab75d83be9be87fb7bc83a3f3b72a4638dab22a1 | [
"MIT"
] | null | null | null | # Title : Inheritance
# Author : Kiran Raj R.
# Date : 08:11:2020
# triangle = Polygon(3)
# # triangle.get_sides()
# # triangle.print_sides()
triangle1 = Triangle()
triangle1.get_sides()
triangle1.findArea()
| 28.840909 | 107 | 0.603625 | # Title : Inheritance
# Author : Kiran Raj R.
# Date : 08:11:2020
import math
class Polygon:
"Create a simply polygon class, which takes number of sites and takes the maginute of each sides"
def __init__(self, num_sides):
self.num_sides = int(num_sides)
self.mag_sides = []
def get_... | 0 | 0 | 0 | 997 | 0 | 0 | 0 | -10 | 69 |
63a5dda4dfc333b4824d2a196607eff046eabd58 | 2,685 | py | Python | tools/request_sender.py | gusutabopb/pytrthree | 6c036e6ba44793261dea6017091423af3624050c | [
"MIT"
] | 2 | 2018-09-02T04:46:36.000Z | 2020-11-28T18:28:35.000Z | tools/request_sender.py | gusutabopb/pytrthree | 6c036e6ba44793261dea6017091423af3624050c | [
"MIT"
] | null | null | null | tools/request_sender.py | gusutabopb/pytrthree | 6c036e6ba44793261dea6017091423af3624050c | [
"MIT"
] | 1 | 2020-10-18T16:17:08.000Z | 2020-10-18T16:17:08.000Z | #!/usr/bin/env python
import argparse
import datetime
import pandas as pd
import yaml
from pytrthree import TRTH
from pytrthree.utils import retry
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Tool to send a series of requests to TRTH.')
parser.add_argument('--config', action='st... | 47.105263 | 105 | 0.660708 | #!/usr/bin/env python
import argparse
import datetime
import pandas as pd
import yaml
from pytrthree import TRTH
from pytrthree.utils import retry
def make_request(daterange, criteria):
request = api.factory.LargeRequestSpec(**template)
short_dates = sorted([x.replace('-', '') for x in daterange.values()])
... | 0 | 0 | 0 | 0 | 0 | 666 | 0 | 0 | 46 |
0ddfbadbbe65167ee077658fdcdc1211bdb095b7 | 1,789 | py | Python | Logistic_Regression/tests/test_logistic_regression.py | hectorLop/ML_algorithms | 0c5181e460640efc7e81210cf132f3bbd9d73910 | [
"MIT"
] | null | null | null | Logistic_Regression/tests/test_logistic_regression.py | hectorLop/ML_algorithms | 0c5181e460640efc7e81210cf132f3bbd9d73910 | [
"MIT"
] | null | null | null | Logistic_Regression/tests/test_logistic_regression.py | hectorLop/ML_algorithms | 0c5181e460640efc7e81210cf132f3bbd9d73910 | [
"MIT"
] | null | null | null | import numpy as np
from Logistic_Regression.logistic_regression import LogisticRegression
def test_logistic_regression(train_test_data_final):
"""
Tests the linear regression algorithm using the Normal Equation
"""
X_train, y_train = train_test_data_final
X_train, y_train = X_train[:, 3:]... | 30.844828 | 117 | 0.693684 | import pytest
import numpy as np
from sklearn import datasets
from Logistic_Regression.logistic_regression import LogisticRegression
@pytest.fixture
def train_test_data_final():
iris = datasets.load_iris()
X = iris['data']
y = iris['target']
return X, y
def test_logistic_regression(t... | 0 | 124 | 0 | 0 | 0 | 769 | 0 | -1 | 120 |
2664c817d15259cca23b6839c61cc8482c807f64 | 176 | py | Python | blogposts/admin.py | prithaupadhyay/code-talk | 1140e78d128c7cf7f7cf08039f3310bcd7cf0a52 | [
"MIT"
] | null | null | null | blogposts/admin.py | prithaupadhyay/code-talk | 1140e78d128c7cf7f7cf08039f3310bcd7cf0a52 | [
"MIT"
] | null | null | null | blogposts/admin.py | prithaupadhyay/code-talk | 1140e78d128c7cf7f7cf08039f3310bcd7cf0a52 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Question
from .models import Answer
# Register your models here
admin.site.register(Question)
admin.site.register(Answer)
| 22 | 32 | 0.818182 | from django.contrib import admin
from .models import Question
from .models import Answer
# Register your models here
admin.site.register(Question)
admin.site.register(Answer)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8c8f006b0635abe2b91d69c825cc97f2272505a5 | 1,605 | py | Python | tests/test_util.py | ecohealthalliance/concept-tools | 865a7ceb94ca8d927eb9a7ed53fcb6c1e1a68f53 | [
"Apache-2.0"
] | null | null | null | tests/test_util.py | ecohealthalliance/concept-tools | 865a7ceb94ca8d927eb9a7ed53fcb6c1e1a68f53 | [
"Apache-2.0"
] | null | null | null | tests/test_util.py | ecohealthalliance/concept-tools | 865a7ceb94ca8d927eb9a7ed53fcb6c1e1a68f53 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Test the utils"""
import sys
import unittest
sys.path = ['./'] + sys.path
if __name__ == '__main__':
unittest.main()
| 25.078125 | 74 | 0.493458 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Test the utils"""
import sys
import os
import unittest
sys.path = ['./'] + sys.path
from util import is_meta
from util import get_canonical_id_from_url_segment
from util import get_canonical_id_from_title
class UtilTest(unittest.TestCase):
def test_is_meta(sel... | 4 | 0 | 0 | 1,273 | 0 | 0 | 0 | 43 | 112 |
11a300dc84861ec3cce363d43775cbd888385cd9 | 3,348 | py | Python | docs/dev/Example4_gdal.py | vincentschut/isce2 | 1557a05b7b6a3e65abcfc32f89c982ccc9b65e3c | [
"ECL-2.0",
"Apache-2.0"
] | 1,133 | 2022-01-07T21:24:57.000Z | 2022-01-07T21:33:08.000Z | docs/dev/Example4_gdal.py | vincentschut/isce2 | 1557a05b7b6a3e65abcfc32f89c982ccc9b65e3c | [
"ECL-2.0",
"Apache-2.0"
] | 276 | 2019-02-10T07:18:28.000Z | 2022-03-31T21:45:55.000Z | docs/dev/Example4_gdal.py | vincentschut/isce2 | 1557a05b7b6a3e65abcfc32f89c982ccc9b65e3c | [
"ECL-2.0",
"Apache-2.0"
] | 235 | 2019-02-10T05:00:53.000Z | 2022-03-18T07:37:24.000Z | #!/usr/bin/env python3
import numpy as np
import argparse
from osgeo import gdal
import isceobj
def cmdLineParse():
'''
Parse command line.
'''
parser = argparse.ArgumentParser(description='Convert GeoTiff to ISCE file')
parser.add_argument('-i','--input', dest='infile', type=str,
req... | 29.368421 | 142 | 0.565114 | #!/usr/bin/env python3
import numpy as np
import argparse
from osgeo import gdal
import isce
import isceobj
import os
def cmdLineParse():
'''
Parse command line.
'''
parser = argparse.ArgumentParser(description='Convert GeoTiff to ISCE file')
parser.add_argument('-i','--input', dest='infile', typ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -22 | 44 |
6ba2273aee35bc6f9aba457d1b63e54dd5e5369f | 3,300 | py | Python | test.py | leJson/DRN | 27d7cb3b40d5a760fd7bf9b14b390cbdb08d617b | [
"MIT"
] | 1 | 2021-07-25T13:52:04.000Z | 2021-07-25T13:52:04.000Z | test.py | leJson/DRN | 27d7cb3b40d5a760fd7bf9b14b390cbdb08d617b | [
"MIT"
] | null | null | null | test.py | leJson/DRN | 27d7cb3b40d5a760fd7bf9b14b390cbdb08d617b | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
mse_cal()
# read_pcd_pointclouds()
# show_gd()
# file_path = '/home/ljs/workspace/eccv/FirstTrainingData/out_4096/train/38.pcd'
# read_pcd_pointclouds(file_path)
| 28.947368 | 84 | 0.646061 | import json
import numpy as np
import open3d as o3d
def json_load(filename):
with open(filename, "r") as fr:
vars = json.load(fr)
# for k, v in vars.items():
# vars[k] = np.array(v)
return vars
def _show_gd():
path = '/home/ljs/workspace/eccv/FirstTrainingData/label/GroundTruth.json'... | 0 | 0 | 0 | 0 | 0 | 2,894 | 0 | -14 | 205 |
1406ecd917ed3d4abcb32d216404ddeddc169ba6 | 4,149 | py | Python | global_sewage_signatures/MinHash.py | josl/global-sewage-signatures | f4d314616706f2ff7d437a258d16c7ce5df64bfd | [
"MIT"
] | null | null | null | global_sewage_signatures/MinHash.py | josl/global-sewage-signatures | f4d314616706f2ff7d437a258d16c7ce5df64bfd | [
"MIT"
] | null | null | null | global_sewage_signatures/MinHash.py | josl/global-sewage-signatures | f4d314616706f2ff7d437a258d16c7ce5df64bfd | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# This file is part of global_sewage_signatures.
# https://github.com/josl/Global_Sewage_Signatures
# Licensed under the MIT license:
# http://www.opensource.org/licenses/MIT-license
# Copyright (c) 2016, Jose L. Bellod Cisneros & Kosai Al-Nakked
# <bellod.cisneros@gmail.... | 37.044643 | 77 | 0.626175 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# This file is part of global_sewage_signatures.
# https://github.com/josl/Global_Sewage_Signatures
# Licensed under the MIT license:
# http://www.opensource.org/licenses/MIT-license
# Copyright (c) 2016, Jose L. Bellod Cisneros & Kosai Al-Nakked
# <bellod.cisneros@gmail.... | 0 | 0 | 0 | 3,564 | 0 | 0 | 0 | 1 | 113 |
2e1c3e6f0e44cfdaf234da9e9952911db70a62dc | 10,021 | py | Python | apps/sso/models.py | g10f/sso | ba6eb712add388c69d4880f5620a2e4ce42d3fee | [
"BSD-3-Clause"
] | 3 | 2021-05-16T17:06:57.000Z | 2021-05-28T17:14:05.000Z | apps/sso/models.py | g10f/sso | ba6eb712add388c69d4880f5620a2e4ce42d3fee | [
"BSD-3-Clause"
] | null | null | null | apps/sso/models.py | g10f/sso | ba6eb712add388c69d4880f5620a2e4ce42d3fee | [
"BSD-3-Clause"
] | null | null | null | import logging
import re
from django.core.validators import RegexValidator
from django.utils.translation import gettext_lazy as _
logger = logging.getLogger(__name__)
def ensure_single_primary(queryset):
"""
ensure that at most one item of the queryset is primary
"""
primary_items = queryset.fi... | 35.285211 | 119 | 0.623491 | import logging
import os
import re
import uuid
from io import BytesIO
from mimetypes import guess_extension
from os.path import splitext
from PIL import Image
from django.core.files.uploadedfile import InMemoryUploadedFile
from django.core.validators import RegexValidator
from django.db import models
from django.db.mo... | 0 | 0 | 0 | 2,376 | 0 | 4,632 | 0 | 174 | 563 |
9b44dec8def3ef6e4bf77338dedc2dbf168db1a2 | 1,829 | py | Python | web/utility.py | dan0nchik/SAP-HANA-AutoML | 68cde80bd7fbfc751fb56062af30aec9238f9fb3 | [
"MIT"
] | 59 | 2021-01-10T18:35:38.000Z | 2022-02-28T16:49:06.000Z | web/utility.py | u1810291/SAP-HANA-AutoML | 06200bd1f813916fc81eb1ccb0ed0b1275e22945 | [
"MIT"
] | 3 | 2021-02-01T19:33:39.000Z | 2021-06-29T08:32:33.000Z | web/utility.py | u1810291/SAP-HANA-AutoML | 06200bd1f813916fc81eb1ccb0ed0b1275e22945 | [
"MIT"
] | 10 | 2021-06-18T12:35:34.000Z | 2021-12-28T18:48:36.000Z | import base64
# from https://discuss.streamlit.io/t/cannot-print-the-terminal-output-in-streamlit/6602/2
def get_table_download_link(df, file_name):
"""Generates a link allowing the data in a given panda dataframe to be downloaded
in: dataframe, file name
out: href string
"""
csv = df.to_csv(... | 26.128571 | 95 | 0.651722 | import base64
import sys
from contextlib import contextmanager
from io import StringIO
from threading import current_thread
from typing import Union
import hana_ml.dataframe
import pandas
import streamlit as st
from streamlit.report_thread import REPORT_CONTEXT_ATTR_NAME
# from https://discuss.streamlit.io/t/cannot-... | 0 | 634 | 0 | 0 | 0 | 298 | 0 | 60 | 290 |
fba1cc411163b25b7360c734749b5a68e6e1fd88 | 1,887 | py | Python | ensembl_prodinf/db_utils.py | danstaines/ensembl-prodinf | 65c51ac7f2dd4fe12b051f417ca252979916798b | [
"Apache-2.0"
] | null | null | null | ensembl_prodinf/db_utils.py | danstaines/ensembl-prodinf | 65c51ac7f2dd4fe12b051f417ca252979916798b | [
"Apache-2.0"
] | null | null | null | ensembl_prodinf/db_utils.py | danstaines/ensembl-prodinf | 65c51ac7f2dd4fe12b051f417ca252979916798b | [
"Apache-2.0"
] | null | null | null | # Utilities for interacting with databases
import os
from sqlalchemy import create_engine, text
from ensembl_prodinf.server_utils import get_file_sizes
from sqlalchemy.engine.url import make_url
def list_databases(db_uri, query):
"""
List databases on a specified MySQL server
Arguments:
db_uri : UR... | 37 | 98 | 0.696873 | # Utilities for interacting with databases
import os
from urllib.parse import urlparse
from sqlalchemy import create_engine, text
from ensembl_prodinf.server_utils import get_file_sizes
from sqlalchemy.engine.url import make_url
def validate_mysql_url(db_uri):
parsed_uri = urlparse(db_uri)
if parsed_uri.schem... | 0 | 0 | 0 | 0 | 0 | 367 | 0 | 12 | 45 |
8515fdec3b7e47b694ca09e5b731ef270e5707c5 | 2,642 | py | Python | robot_explorers/gui/__main__.py | Nino-SEGALA/HuaweiChallenge | a628f5550063422b095300846bde5680a5e95414 | [
"BSD-3-Clause"
] | null | null | null | robot_explorers/gui/__main__.py | Nino-SEGALA/HuaweiChallenge | a628f5550063422b095300846bde5680a5e95414 | [
"BSD-3-Clause"
] | null | null | null | robot_explorers/gui/__main__.py | Nino-SEGALA/HuaweiChallenge | a628f5550063422b095300846bde5680a5e95414 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
'''
Copyright (c) 2020 Huawei Technologies Sweden AB, All rights reserved.
Authors:
Karl Gfvert
'''
import argparse
from .gui import GUI
parser = argparse.ArgumentParser(description='Run GUI')
parser.add_argument('input_dir', metavar='input_dir', type=str, help='Path to saved ... | 42.612903 | 128 | 0.746026 | # -*- coding: utf-8 -*-
'''
Copyright (c) 2020 Huawei Technologies Sweden AB, All rights reserved.
Authors:
Karl Gäfvert
'''
import argparse
from .gui import GUI
parser = argparse.ArgumentParser(description='Run GUI')
parser.add_argument('input_dir', metavar='input_dir', type=str, help='Path to saved... | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d7a4e00fe1c08fb5478a7ee1767b733ba5867aef | 3,113 | py | Python | djmoney_rates/backends.py | Songtrust/django-money-rates | a2b9e7d31d1799751e7dfaf6cb5094256530e79e | [
"BSD-3-Clause"
] | null | null | null | djmoney_rates/backends.py | Songtrust/django-money-rates | a2b9e7d31d1799751e7dfaf6cb5094256530e79e | [
"BSD-3-Clause"
] | 1 | 2022-02-01T18:28:43.000Z | 2022-02-01T20:42:05.000Z | djmoney_rates/backends.py | Songtrust/django-money-rates | a2b9e7d31d1799751e7dfaf6cb5094256530e79e | [
"BSD-3-Clause"
] | null | null | null | from __future__ import unicode_literals
import logging
logger = logging.getLogger(__name__)
| 31.765306 | 97 | 0.638612 | from __future__ import unicode_literals
import logging
import json
from django.core.exceptions import ImproperlyConfigured
from urllib.request import urlopen
from .exceptions import RateBackendError
from .models import RateSource, Rate
from .settings import money_rates_settings
logger = logging.getLogger(__name__)... | 0 | 0 | 0 | 2,744 | 0 | 0 | 0 | 92 | 180 |
3350009913018054be2ddf059f93dbc77731d306 | 10,721 | py | Python | climlab/domain/field.py | nfeldl/climlab | 2cabb49e2c3f54c1795f24338ef5ee44e49fc7e7 | [
"BSD-3-Clause",
"MIT"
] | 160 | 2015-02-25T15:56:37.000Z | 2022-03-14T23:51:23.000Z | climlab/domain/field.py | nfeldl/climlab | 2cabb49e2c3f54c1795f24338ef5ee44e49fc7e7 | [
"BSD-3-Clause",
"MIT"
] | 137 | 2015-12-18T17:39:31.000Z | 2022-02-04T20:50:53.000Z | climlab/domain/field.py | nfeldl/climlab | 2cabb49e2c3f54c1795f24338ef5ee44e49fc7e7 | [
"BSD-3-Clause",
"MIT"
] | 54 | 2015-04-28T05:57:39.000Z | 2022-02-17T08:15:11.000Z | # Trying a new data model for state variables and domains:
# Create a new sub-class of numpy.ndarray
# that has as an attribute the domain itself
# Following a tutorial on subclassing ndarray here:
#
# http://docs.scipy.org/doc/numpy/user/basics.subclassing.html
from __future__ import division
import numpy as np
... | 38.01773 | 86 | 0.566179 | # Trying a new data model for state variables and domains:
# Create a new sub-class of numpy.ndarray
# that has as an attribute the domain itself
# Following a tutorial on subclassing ndarray here:
#
# http://docs.scipy.org/doc/numpy/user/basics.subclassing.html
from __future__ import division
import numpy as np
fr... | 0 | 0 | 0 | 7,082 | 0 | 616 | 0 | 28 | 91 |
1c219888920e1a8bc93025db5532422bfc527d70 | 543 | py | Python | splitData.py | csortu/drugMLPytorch | 7ea6ef8c46dc3027a7ebd21836b7b12c23659db8 | [
"MIT"
] | null | null | null | splitData.py | csortu/drugMLPytorch | 7ea6ef8c46dc3027a7ebd21836b7b12c23659db8 | [
"MIT"
] | null | null | null | splitData.py | csortu/drugMLPytorch | 7ea6ef8c46dc3027a7ebd21836b7b12c23659db8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Dec 13 13:32:14 2019
@author: ortutay
"""
import pandas as pd
import numpy as np
link = 'http://bit.ly/uforeports'
ufo = pd.read_csv(link)
# We split 60-20-20% tran-validation-test sets
train, validate, test = np.split(ufo.sample(frac=1),
... | 23.608696 | 88 | 0.598527 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Dec 13 13:32:14 2019
@author: ortutay
"""
import pandas as pd
import numpy as np
link = 'http://bit.ly/uforeports'
ufo = pd.read_csv(link)
# We split 60-20-20% tran-validation-test sets
train, validate, test = np.split(ufo.sample(frac=1),
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
db3dbbc1512ecbbd2e1ba563130b86c31b5d740a | 3,867 | py | Python | packages/fetchai/connections/p2p_stub/connection.py | devjsc/agents-aea | 872f7b76cbcd33b6c809905c68681790bb93ff2f | [
"Apache-2.0"
] | null | null | null | packages/fetchai/connections/p2p_stub/connection.py | devjsc/agents-aea | 872f7b76cbcd33b6c809905c68681790bb93ff2f | [
"Apache-2.0"
] | null | null | null | packages/fetchai/connections/p2p_stub/connection.py | devjsc/agents-aea | 872f7b76cbcd33b6c809905c68681790bb93ff2f | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
#
# Copyright 2018-2019 Fetch.AI Limited
#
# 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 ... | 35.805556 | 107 | 0.639514 | # -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
#
# Copyright 2018-2019 Fetch.AI Limited
#
# 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 ... | 0 | 0 | 789 | 1,833 | 0 | 0 | 0 | 113 | 179 |
45f23f6efe4ea3f63029af086469c8e887e61725 | 276 | py | Python | PythonDownload/pythonexercicios/ex035.py | GitGuii/PythonExs | afab77b311d23f7ed88d94e9ce927653cf648b29 | [
"MIT"
] | 1 | 2021-08-10T15:00:34.000Z | 2021-08-10T15:00:34.000Z | PythonDownload/pythonexercicios/ex035.py | GitGuii/PythonExs | afab77b311d23f7ed88d94e9ce927653cf648b29 | [
"MIT"
] | null | null | null | PythonDownload/pythonexercicios/ex035.py | GitGuii/PythonExs | afab77b311d23f7ed88d94e9ce927653cf648b29 | [
"MIT"
] | null | null | null | n1 = float(input('Digite o primeiro numero'))
n2 = float(input('Digite o segundo numero'))
n3 = float(input('Digite o terceiro numero'))
if n1 < (n2 + n3) and n2 < (n1 + n3) and n3 < (n2 + n1):
print('Podem formar um triangulo')
else:
print('Nao formam um triangulo')
| 34.5 | 56 | 0.652174 | n1 = float(input('Digite o primeiro numero'))
n2 = float(input('Digite o segundo numero'))
n3 = float(input('Digite o terceiro numero'))
if n1 < (n2 + n3) and n2 < (n1 + n3) and n3 < (n2 + n1):
print('Podem formar um triangulo')
else:
print('Nao formam um triangulo')
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
95475ab1680a0c52a5af6f1bf727e1a18b73e173 | 1,867 | py | Python | eval_adynorm.py | bestasoff/adynorm | e43488db2b49b4025faa280404bc44f6103c326d | [
"MIT"
] | 1 | 2021-11-10T07:49:13.000Z | 2021-11-10T07:49:13.000Z | eval_adynorm.py | bestasoff/adynorm | e43488db2b49b4025faa280404bc44f6103c326d | [
"MIT"
] | null | null | null | eval_adynorm.py | bestasoff/adynorm | e43488db2b49b4025faa280404bc44f6103c326d | [
"MIT"
] | 1 | 2021-11-10T16:09:36.000Z | 2021-11-10T16:09:36.000Z |
import logging
logger = logging.getLogger(__name__)
if __name__ == "__main__":
main()
| 24.893333 | 105 | 0.680771 | import argparse
import logging
from transformers import (
set_seed,
)
from adynorm.eval_utils import (
evaluate
)
from adynorm.adynorm import Adynorm, AdynormNet
from adynorm.datasets import ConceptDataset, DictDataset
logger = logging.getLogger(__name__)
def parse_args():
parser = argparse.ArgumentPa... | 0 | 0 | 0 | 0 | 0 | 1,511 | 0 | 102 | 158 |
8347d76b22e0fced38a256902b83cd52fdf4bc5f | 786 | py | Python | tests/product/cluster_types.py | leniartek/trino-admin | 05104a0b35bbc4aeca9469b2fc63a21c814a7855 | [
"Apache-2.0"
] | 34 | 2016-01-08T21:02:13.000Z | 2017-03-10T02:01:03.000Z | tests/product/cluster_types.py | starburstdata/presto-admin | 1bb652debefe1e26e9105f8ffb08a8793790967a | [
"Apache-2.0"
] | 19 | 2019-05-16T13:09:25.000Z | 2020-12-04T18:01:39.000Z | tests/product/cluster_types.py | starburstdata/presto-admin | 1bb652debefe1e26e9105f8ffb08a8793790967a | [
"Apache-2.0"
] | 15 | 2019-03-07T16:37:06.000Z | 2020-11-12T12:07:46.000Z | from tests.product.mode_installers import StandaloneModeInstaller
from tests.product.prestoadmin_installer import PrestoadminInstaller
from tests.product.topology_installer import TopologyInstaller
from tests.product.standalone.presto_installer import StandalonePrestoInstaller
STANDALONE_BARE_CLUSTER = 'bare'
BARE_CL... | 37.428571 | 79 | 0.71883 | from tests.product.mode_installers import StandaloneModeInstaller
from tests.product.prestoadmin_installer import PrestoadminInstaller
from tests.product.topology_installer import TopologyInstaller
from tests.product.standalone.presto_installer import StandalonePrestoInstaller
STANDALONE_BARE_CLUSTER = 'bare'
BARE_CL... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
403675c7346f6a144ac3a6672c5e4b6d9556a72c | 61,411 | py | Python | scratchfiles/MQDscript.py | eugenewickett/logistigateanalysis | 5174f40db5f79bfd12491850cef53edde825b71b | [
"MIT"
] | null | null | null | scratchfiles/MQDscript.py | eugenewickett/logistigateanalysis | 5174f40db5f79bfd12491850cef53edde825b71b | [
"MIT"
] | null | null | null | scratchfiles/MQDscript.py | eugenewickett/logistigateanalysis | 5174f40db5f79bfd12491850cef53edde825b71b | [
"MIT"
] | null | null | null | # Workaround for the 'methods' file not being able to locate the 'mcmcsamplers' folder for importing
import sys
import os
SCRIPT_DIR = os.path.dirname(os.path.realpath(os.path.join(os.getcwd(), os.path.expanduser(__file__))))
sys.path.append(os.path.normpath(os.path.join(SCRIPT_DIR, '../logistigate', 'logistigate')))
s... | 62.53666 | 140 | 0.650975 | # Workaround for the 'methods' file not being able to locate the 'mcmcsamplers' folder for importing
import sys
import os
SCRIPT_DIR = os.path.dirname(os.path.realpath(os.path.join(os.getcwd(), os.path.expanduser(__file__))))
sys.path.append(os.path.normpath(os.path.join(SCRIPT_DIR, '../logistigate', 'logistigate')))
s... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d14a481f2aa7e34b8789d4a5d6edd496c4c171c8 | 11,376 | py | Python | src/old-verbio/features.py | jasondraether/verbio | 0db543ebdee05e5cc24556d2239b7eaf215361a2 | [
"MIT"
] | null | null | null | src/old-verbio/features.py | jasondraether/verbio | 0db543ebdee05e5cc24556d2239b7eaf215361a2 | [
"MIT"
] | null | null | null | src/old-verbio/features.py | jasondraether/verbio | 0db543ebdee05e5cc24556d2239b7eaf215361a2 | [
"MIT"
] | null | null | null | """Feature extraction code for the VerBIO project
"""
import pandas as pd
import numpy as np
import opensmile
import preprocessing
import neurokit2 as nk
import scipy
import math
def get_df_gradient(df, feature_keys):
"""Given a list of keys for a dataframe, takes the gradient of those features and adds it to a new
... | 34.788991 | 199 | 0.727233 | """Feature extraction code for the VerBIO project
"""
import pandas as pd
import numpy as np
from scipy import stats
import opensmile
from scipy.io import wavfile
import preprocessing
import neurokit2 as nk
import scipy
import math
def get_df_gradient(df, feature_keys):
"""Given a list of keys for a dataframe, takes... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 44 |
185cabd14b5307ae851f8675295403e744d37ad0 | 12,203 | py | Python | backend/tests/internal/data/cbcl_6_18_scores.py | mkokotovich/cbcl_scoring | 86d8f636a980bce45fcf5fc7eccac5dffddfd3b8 | [
"MIT"
] | null | null | null | backend/tests/internal/data/cbcl_6_18_scores.py | mkokotovich/cbcl_scoring | 86d8f636a980bce45fcf5fc7eccac5dffddfd3b8 | [
"MIT"
] | 17 | 2019-12-26T16:45:10.000Z | 2022-03-21T22:16:37.000Z | backend/tests/internal/data/cbcl_6_18_scores.py | mkokotovich/testscoring | bc176caf37a2980d85a722efa919f416c9758a0e | [
"MIT"
] | null | null | null | scores = {"scores": [{"group": "I", "score": 7.0}, {"group": "II", "score": 5.0}, {"group": "III", "score": 2.0}, {"group": "IV", "score": 8.0}, {"group": "V", "score": 9.0}, {"group": "VI", "score": 16.0}, {"group": "VII", "score": 5.0}, {"group": "VIII", "score": 11.0}, {"group": "other", "score": 10.0}, {"group": "a... | 12,203 | 12,203 | 0.484061 | scores = {"scores": [{"group": "I", "score": 7.0}, {"group": "II", "score": 5.0}, {"group": "III", "score": 2.0}, {"group": "IV", "score": 8.0}, {"group": "V", "score": 9.0}, {"group": "VI", "score": 16.0}, {"group": "VII", "score": 5.0}, {"group": "VIII", "score": 11.0}, {"group": "other", "score": 10.0}, {"group": "a... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c79dc8d37779a70e8545847151e617acfa37acba | 9,267 | py | Python | app/scripts/dxhomefinder/stk/coroutines.py | softbankrobotics-labs/pepper-proactive-mobility | a9f6132ee5afd9bb6583741d9d4c481bd9597c65 | [
"BSD-3-Clause"
] | 5 | 2020-01-16T22:50:31.000Z | 2021-07-19T19:16:48.000Z | app/scripts/dxhomefinder/stk/coroutines.py | softbankrobotics-labs/pepper-proactive-mobility | a9f6132ee5afd9bb6583741d9d4c481bd9597c65 | [
"BSD-3-Clause"
] | 1 | 2021-06-18T17:45:55.000Z | 2021-06-18T17:45:55.000Z | app/scripts/dxhomefinder/stk/coroutines.py | softbankrobotics-labs/pepper-proactive-mobility | a9f6132ee5afd9bb6583741d9d4c481bd9597c65 | [
"BSD-3-Clause"
] | null | null | null | """
Helper for easily doing async tasks with coroutines.
It's mostly syntactic sugar that removes the need for .then and .andThen.
Simply:
- make a generator function that yields futures (e.g. from qi.async)
- add the decorator async_generator
For example:
@stk.coroutines.async_generator
def run_test(self):
y... | 33.334532 | 89 | 0.629546 | """
Helper for easily doing async tasks with coroutines.
It's mostly syntactic sugar that removes the need for .then and .andThen.
Simply:
- make a generator function that yields futures (e.g. from qi.async)
- add the decorator async_generator
For example:
@stk.coroutines.async_generator
def run_test(self):
y... | 0 | 409 | 0 | 6,922 | 0 | 0 | 0 | -32 | 280 |
f684d2fa6876886e9049ae01821730a76d6c747f | 11,049 | py | Python | server/controllers/rootcontroller.py | Shaalan31/LIWI | b4d615e0951b7c28c9258d0d7a8ff86c73c4ebe2 | [
"MIT"
] | 2 | 2019-10-16T07:37:46.000Z | 2020-10-04T10:31:02.000Z | server/controllers/rootcontroller.py | Shaalan31/LIWI | b4d615e0951b7c28c9258d0d7a8ff86c73c4ebe2 | [
"MIT"
] | 3 | 2021-03-19T00:22:56.000Z | 2022-01-13T01:12:35.000Z | server/controllers/rootcontroller.py | Shaalan31/LIWI | b4d615e0951b7c28c9258d0d7a8ff86c73c4ebe2 | [
"MIT"
] | 2 | 2019-06-04T10:58:39.000Z | 2019-06-06T18:52:01.000Z | from flask import Flask
from flask_socketio import SocketIO
app = Flask(__name__)
socket = SocketIO(app, async_mode='threading')
writer_service = WriterService(socket)
UPLOAD_FOLDER = os.path.join(os.path.dirname(__file__), '../../uploads/')
dataset_path = os.path.join(os.path.dirname(__file__), '../../../All Test Ca... | 35.07619 | 148 | 0.630736 | import uuid
from flask import Flask, request, jsonify, send_from_directory
from flask_socketio import SocketIO
from server.httpexceptions.exceptions import ExceptionHandler
from server.services.writerservice import *
from server.utils.writerencoder import *
import time
app = Flask(__name__)
socket = SocketIO(app, asy... | 0 | 10,047 | 0 | 0 | 0 | 0 | 0 | 100 | 364 |
8371355d0547c59f1233c5ac2c2cbfc5c23fb02f | 5,484 | py | Python | python/bridge/chips/gap_rev1.py | VivoSoC/pulp-debug-bridge | de23caa48c4c69d1f639a33d913089f926b71e70 | [
"Apache-2.0"
] | null | null | null | python/bridge/chips/gap_rev1.py | VivoSoC/pulp-debug-bridge | de23caa48c4c69d1f639a33d913089f926b71e70 | [
"Apache-2.0"
] | null | null | null | python/bridge/chips/gap_rev1.py | VivoSoC/pulp-debug-bridge | de23caa48c4c69d1f639a33d913089f926b71e70 | [
"Apache-2.0"
] | null | null | null | #
# Copyright (C) 2018 ETH Zurich and University of Bologna
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 33.851852 | 122 | 0.632932 | #
# Copyright (C) 2018 ETH Zurich and University of Bologna
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 0 | 0 | 0 | 4,556 | 0 | 0 | 0 | 10 | 68 |
85da6d6a1091ae5222952adc2d51828314426605 | 887 | py | Python | test/test_executables.py | by-student-2017/skpar-0.2.4_Ubuntu18.04LTS | aa35a9dc1746d12ce91ec0c1ba88f2464ef35543 | [
"MIT"
] | 9 | 2017-09-15T14:35:28.000Z | 2021-10-04T13:21:51.000Z | test/test_executables.py | by-student-2017/skpar-0.2.4_Ubuntu18.04LTS | aa35a9dc1746d12ce91ec0c1ba88f2464ef35543 | [
"MIT"
] | null | null | null | test/test_executables.py | by-student-2017/skpar-0.2.4_Ubuntu18.04LTS | aa35a9dc1746d12ce91ec0c1ba88f2464ef35543 | [
"MIT"
] | 3 | 2018-11-06T10:15:14.000Z | 2021-04-08T08:02:22.000Z | import unittest
import logging
logging.basicConfig(level=logging.DEBUG)
logging.basicConfig(format='%(message)s')
logger = logging.getLogger(__name__)
if __name__ == '__main__':
unittest.main()
| 28.612903 | 80 | 0.609921 | import unittest
import yaml
import logging
logging.basicConfig(level=logging.DEBUG)
logging.basicConfig(format='%(message)s')
logger = logging.getLogger(__name__)
class ExecutablesTest(unittest.TestCase):
"""Check if we can get the map of executables"""
def test_getexemap(self):
"""Can we construct ... | 0 | 0 | 0 | 651 | 0 | 0 | 0 | -10 | 45 |
78cf8f3577f10272dda42004ec090137bb082d35 | 733 | py | Python | coding patterns/cyclic sort/duplicate_numbers.py | mkoryor/Python | 837ec4c03130dc4cb919fb5f1eeb4d31206790e4 | [
"Unlicense"
] | null | null | null | coding patterns/cyclic sort/duplicate_numbers.py | mkoryor/Python | 837ec4c03130dc4cb919fb5f1eeb4d31206790e4 | [
"Unlicense"
] | null | null | null | coding patterns/cyclic sort/duplicate_numbers.py | mkoryor/Python | 837ec4c03130dc4cb919fb5f1eeb4d31206790e4 | [
"Unlicense"
] | null | null | null |
"""
[E] We are given an unsorted array containing 'n' numbers taken from the range 1 to 'n'.
The array has some numbers appearing twice, find all these duplicate numbers without using any extra space.
Example 1:
Input: [3, 4, 4, 5, 5]
Output: [4, 5]
"""
# Time: O(n) Space: O(1)
main() | 19.810811 | 107 | 0.608458 |
"""
[E] We are given an unsorted array containing 'n' numbers taken from the range 1 to 'n'.
The array has some numbers appearing twice, find all these duplicate numbers without using any extra space.
Example 1:
Input: [3, 4, 4, 5, 5]
Output: [4, 5]
"""
# Time: O(n) Space: O(1)
def find_all_duplicates(nums):
i... | 0 | 0 | 0 | 0 | 0 | 393 | 0 | 0 | 45 |
75748216c6dbe303e57780eeeb96ed586dc84164 | 212 | py | Python | myapp/urls.py | quinchoponcho/helloworld | 89d019fe45520a49dc8b4b625e802a2030608554 | [
"MIT"
] | null | null | null | myapp/urls.py | quinchoponcho/helloworld | 89d019fe45520a49dc8b4b625e802a2030608554 | [
"MIT"
] | 5 | 2021-03-19T02:34:36.000Z | 2021-09-22T18:56:49.000Z | myapp/urls.py | quinchoponcho/helloworld | 89d019fe45520a49dc8b4b625e802a2030608554 | [
"MIT"
] | null | null | null |
from django.conf.urls import url
from myapp import views
urlpatterns = [
url(r'^$', views.dashBoard, name='dashboard'),
#url(r'^myapp/', include('myapp.urls')),
]
| 17.666667 | 50 | 0.683962 |
from django.conf.urls import url
from django.conf.urls import include
from myapp import views
urlpatterns = [
url(r'^$', views.dashBoard, name='dashboard'),
#url(r'^myapp/', include('myapp.urls')),
]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 22 |
0f453badacab02520c8d1fd266842e0f60f5ff75 | 2,214 | py | Python | third_party/tflite-micro/tensorflow/lite/micro/examples/neural_net1/neural_net1.py | bala122/CFU-Playground | 55e9aa33f13e6413c671f97b9f414bbbe5418550 | [
"Apache-2.0"
] | null | null | null | third_party/tflite-micro/tensorflow/lite/micro/examples/neural_net1/neural_net1.py | bala122/CFU-Playground | 55e9aa33f13e6413c671f97b9f414bbbe5418550 | [
"Apache-2.0"
] | null | null | null | third_party/tflite-micro/tensorflow/lite/micro/examples/neural_net1/neural_net1.py | bala122/CFU-Playground | 55e9aa33f13e6413c671f97b9f414bbbe5418550 | [
"Apache-2.0"
] | null | null | null | import tensorflow as tf
import numpy as np
import tensorflow_datasets as tfds
(ds_train, ds_test), ds_info = tfds.load(
'mnist',
split=['train', 'test'],
shuffle_files=True,
as_supervised=True,
with_info=True,
)
def normalize_img(image, label):
"""Normalize image"""
return tf.cast(image, tf.floa... | 28.384615 | 77 | 0.749322 | import tensorflow as tf
import numpy as np
import tensorflow_datasets as tfds
(ds_train, ds_test), ds_info = tfds.load(
'mnist',
split=['train', 'test'],
shuffle_files=True,
as_supervised=True,
with_info=True,
)
def normalize_img(image, label):
"""Normalize image"""
return tf.cast(image, tf.floa... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d9f2f20d45c541482fec86d710bf5f795fb2f806 | 2,192 | py | Python | mezzanine_slides/models.py | nielsonsantana/gnmk-mezzanine-slides | f03392838042fb830b3c2e1c760386f59b59955b | [
"BSD-2-Clause"
] | null | null | null | mezzanine_slides/models.py | nielsonsantana/gnmk-mezzanine-slides | f03392838042fb830b3c2e1c760386f59b59955b | [
"BSD-2-Clause"
] | null | null | null | mezzanine_slides/models.py | nielsonsantana/gnmk-mezzanine-slides | f03392838042fb830b3c2e1c760386f59b59955b | [
"BSD-2-Clause"
] | null | null | null | #! -*- encoding: utf-8 -*-
try:
from urllib import unquote
except ImportError: # assume python3
| 34.793651 | 88 | 0.646442 | #! -*- encoding: utf-8 -*-
try:
from urllib import unquote
except ImportError: # assume python3
from urllib.parse import unquote
from string import punctuation
from django.db import models
from django.utils.translation import ugettext_lazy as _
from django.contrib.sites.models import Site
from mezzanine.pag... | 2 | 0 | 0 | 1,713 | 0 | 0 | 0 | 146 | 229 |
e0256be489697647435f5e0ed8f5df55792a1d86 | 1,419 | py | Python | Lintcode/G_Practice/Tag_DFS/1288. Reconstruct Itinerary.py | ctc316/algorithm-python | ac4580d55e05e93e407c6156c9bb801808027d60 | [
"MIT"
] | null | null | null | Lintcode/G_Practice/Tag_DFS/1288. Reconstruct Itinerary.py | ctc316/algorithm-python | ac4580d55e05e93e407c6156c9bb801808027d60 | [
"MIT"
] | null | null | null | Lintcode/G_Practice/Tag_DFS/1288. Reconstruct Itinerary.py | ctc316/algorithm-python | ac4580d55e05e93e407c6156c9bb801808027d60 | [
"MIT"
] | null | null | null |
## memory limitation
| 22.887097 | 60 | 0.513037 | class Solution:
"""
@param tickets:
@return: nothing
"""
def findItinerary(self, tickets):
targets = {}
for a, b in reversed(sorted(tickets)):
if a in targets:
targets[a].append(b)
else:
targets[a] = [b]
route ... | 0 | 0 | 0 | 1,326 | 0 | 0 | 0 | 0 | 68 |
9d37a19bc1155bc32ed927f295a3cb94211d93de | 169 | py | Python | exercises/exc_01_04.py | throughput-ec/ec_workshops_py | 08d68c27fd916c34eb3636f6d382d6f9bf8ea969 | [
"MIT"
] | 1 | 2022-02-18T23:37:47.000Z | 2022-02-18T23:37:47.000Z | exercises/exc_01_04.py | LinkedEarth/ec_workshops_py | 44b4f8ea890da31311a51541a7f7e01c30a5acd1 | [
"MIT"
] | null | null | null | exercises/exc_01_04.py | LinkedEarth/ec_workshops_py | 44b4f8ea890da31311a51541a7f7e01c30a5acd1 | [
"MIT"
] | 2 | 2022-02-18T23:34:12.000Z | 2022-03-14T23:33:20.000Z | # Create the dictionary
mydict = {'archiveType':'coral',
'Publication':{'author':'J. Doe','title':'The most important record'}}
#print the keys
mydict.keys()
| 18.777778 | 78 | 0.656805 | # Create the dictionary
mydict = {'archiveType':'coral',
'Publication':{'author':'J. Doe','title':'The most important record'}}
#print the keys
mydict.keys()
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
bca545b47efd7a4c7d67cacbb56d24360f10b452 | 1,080 | py | Python | pyatv/support/packet.py | Jacobs4/pyatv | 52956adf3b79198be52cc03649f3ddeee19f9e6c | [
"MIT"
] | 532 | 2017-02-01T19:23:28.000Z | 2022-03-29T09:57:39.000Z | pyatv/support/packet.py | Jacobs4/pyatv | 52956adf3b79198be52cc03649f3ddeee19f9e6c | [
"MIT"
] | 1,639 | 2017-02-01T19:22:04.000Z | 2022-03-31T17:26:40.000Z | pyatv/support/packet.py | bdraco/pyatv | 9541d21e6101c60866d832626be97bf962774cd5 | [
"MIT"
] | 102 | 2017-02-02T01:42:13.000Z | 2022-02-26T08:49:34.000Z | """Generic utility for encoding and decoding binary packets."""
from collections import namedtuple
def defpacket(name: str, **kwargs):
"""Define a protocol packet."""
fmt: str = ">" + "".join(kwargs.values())
msg_type = namedtuple(name, kwargs.keys()) # type: ignore
return _MessageType
| 30.857143 | 88 | 0.581481 | """Generic utility for encoding and decoding binary packets."""
from collections import namedtuple
import struct
def defpacket(name: str, **kwargs):
"""Define a protocol packet."""
fmt: str = ">" + "".join(kwargs.values())
msg_type = namedtuple(name, kwargs.keys()) # type: ignore
class _MessageType:... | 0 | 603 | 0 | 129 | 0 | 0 | 0 | -8 | 49 |
dca6de27b3aa5a02b1fa5119d1cc0e8a557bea9a | 5,724 | py | Python | test/unit/test_terracoiny_things.py | walkjivefly/sentinel | b0b82b2974fd1d950285e1845a6fe311cf0fb9ea | [
"MIT"
] | 1 | 2018-01-18T18:52:41.000Z | 2018-01-18T18:52:41.000Z | test/unit/test_terracoiny_things.py | walkjivefly/sentinel | b0b82b2974fd1d950285e1845a6fe311cf0fb9ea | [
"MIT"
] | 1 | 2017-12-09T15:11:47.000Z | 2017-12-29T16:47:10.000Z | test/unit/test_terracoiny_things.py | walkjivefly/sentinel | b0b82b2974fd1d950285e1845a6fe311cf0fb9ea | [
"MIT"
] | 8 | 2017-12-01T18:01:43.000Z | 2018-12-31T13:39:34.000Z | import sys
import os
os.environ['SENTINEL_CONFIG'] = os.path.normpath(os.path.join(os.path.dirname(__file__), '../test_sentinel.conf'))
sys.path.append(os.path.normpath(os.path.join(os.path.dirname(__file__), '../../lib')))
# ========================================================================
| 40.595745 | 390 | 0.780573 | import pytest
import sys
import os
os.environ['SENTINEL_CONFIG'] = os.path.normpath(os.path.join(os.path.dirname(__file__), '../test_sentinel.conf'))
sys.path.append(os.path.normpath(os.path.join(os.path.dirname(__file__), '../../lib')))
@pytest.fixture
def valid_terracoin_address(network='mainnet'):
return 'mtHj... | 0 | 1,888 | 0 | 0 | 0 | 3,209 | 0 | -8 | 321 |
7cff0fa89fc182d0643e9031f6c34e57731cef17 | 12,742 | py | Python | python/GafferSceneUI/ShaderTweaksUI.py | Tuftux/gaffer | 5acaf7cbfadbae841dc06854121ca85dcc5c338c | [
"BSD-3-Clause"
] | 1 | 2019-12-02T02:31:25.000Z | 2019-12-02T02:31:25.000Z | python/GafferSceneUI/ShaderTweaksUI.py | Tuftux/gaffer | 5acaf7cbfadbae841dc06854121ca85dcc5c338c | [
"BSD-3-Clause"
] | null | null | null | python/GafferSceneUI/ShaderTweaksUI.py | Tuftux/gaffer | 5acaf7cbfadbae841dc06854121ca85dcc5c338c | [
"BSD-3-Clause"
] | null | null | null | ##########################################################################
#
# Copyright (c) 2016, Image Engine Design Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistrib... | 28.828054 | 115 | 0.667713 | ##########################################################################
#
# Copyright (c) 2016, Image Engine Design Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistrib... | 0 | 0 | 0 | 3,741 | 0 | 4,078 | 0 | -26 | 388 |
b1418d284e80e7cd51b88da272019b6cdd11dd83 | 711 | py | Python | models/scene_export.py | freds72/hl3 | 44bbbf7715cf9e0b01a3de34436a69ee79d699db | [
"Apache-2.0"
] | 3 | 2019-12-09T20:26:37.000Z | 2021-07-07T15:08:52.000Z | models/scene_export.py | freds72/hl3 | 44bbbf7715cf9e0b01a3de34436a69ee79d699db | [
"Apache-2.0"
] | null | null | null | models/scene_export.py | freds72/hl3 | 44bbbf7715cf9e0b01a3de34436a69ee79d699db | [
"Apache-2.0"
] | 2 | 2019-09-03T03:29:38.000Z | 2020-09-14T03:40:29.000Z | import bpy
import math
scene = bpy.context.scene
scene_data=[]
all_objects = [ob for ob in scene.objects if ob.layers[0] and ob.type=='MESH']
for ob in all_objects:
obdata = ob.data
ob_name_tokens= ob.name.split('.')
ob_data={
"model": ob.name if len(ob_name_tokens)==1 else ob_name_tokens[0],
... | 30.913043 | 173 | 0.701828 | import bpy
import bmesh
import argparse
import sys
import math
from mathutils import Vector, Matrix
scene = bpy.context.scene
scene_data=[]
all_objects = [ob for ob in scene.objects if ob.layers[0] and ob.type=='MESH']
for ob in all_objects:
obdata = ob.data
ob_name_tokens= ob.name.split('.')
ob_data={
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -11 | 88 |
68c6d1b211ab543bdedf130ef99c5784855d0423 | 8,876 | py | Python | text_processing.py | kudari00/LING131FinalProject | 1b6d68a174097cd9491d4cdb492090f8431d2318 | [
"MIT"
] | null | null | null | text_processing.py | kudari00/LING131FinalProject | 1b6d68a174097cd9491d4cdb492090f8431d2318 | [
"MIT"
] | null | null | null | text_processing.py | kudari00/LING131FinalProject | 1b6d68a174097cd9491d4cdb492090f8431d2318 | [
"MIT"
] | null | null | null | import numpy as np
import random
import nltk
from Stemmer import Stemmer
def dataPrepro(raw_text, y_enc):
'''
preprocess data, and tokenize
arg:
raw_test: pandes array, each line contains a text
y_enc: pandas array, each line is the label(1 for spam, 0 for ham)
returns:
data_tok... | 34.138462 | 114 | 0.522082 | import pandas as pd
import numpy as np
import random
from sklearn.preprocessing import LabelEncoder
import nltk
from Stemmer import Stemmer
def dataPrepro(raw_text, y_enc):
'''
preprocess data, and tokenize
arg:
raw_test: pandes array, each line contains a text
y_enc: pandas array, each lin... | 2 | 0 | 0 | 0 | 0 | 1,488 | 0 | 23 | 175 |
47816cbbcf9b6c74f2358702c988d40cc9df0f3e | 85 | py | Python | mne_bids/report/__init__.py | Swastyy/mne-bids | 87c7165b978cd064c5001d2737a74c2fe2ce1c01 | [
"BSD-3-Clause"
] | null | null | null | mne_bids/report/__init__.py | Swastyy/mne-bids | 87c7165b978cd064c5001d2737a74c2fe2ce1c01 | [
"BSD-3-Clause"
] | null | null | null | mne_bids/report/__init__.py | Swastyy/mne-bids | 87c7165b978cd064c5001d2737a74c2fe2ce1c01 | [
"BSD-3-Clause"
] | 1 | 2022-02-21T09:57:36.000Z | 2022-02-21T09:57:36.000Z | """Create a summary report of the BIDS dataset."""
| 21.25 | 50 | 0.752941 | """Create a summary report of the BIDS dataset."""
from ._report import make_report
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 23 |
7ab12ad246295aa2b2b634d866cb79033f5e89a4 | 9,017 | py | Python | tests/compute_area_test.py | koritsky/pointconv | df0fd6ebf36011a6ef544fbc746327d49e09fda9 | [
"MIT"
] | 1 | 2022-01-14T03:49:42.000Z | 2022-01-14T03:49:42.000Z | tests/compute_area_test.py | koritsky/pointconv | df0fd6ebf36011a6ef544fbc746327d49e09fda9 | [
"MIT"
] | null | null | null | tests/compute_area_test.py | koritsky/pointconv | df0fd6ebf36011a6ef544fbc746327d49e09fda9 | [
"MIT"
] | null | null | null | import unittest
import math
import numpy as np
from functools import reduce
def euler2mat(z=0, y=0, x=0):
''' Return matrix for rotations around z, y and x axes
Uses the z, then y, then x convention above
Parameters
----------
z : scalar
Rotation angle in radians around z-axis (performed ... | 35.360784 | 99 | 0.584341 | import unittest
import math
import numpy as np
from functools import reduce
from unittest.case import expectedFailure
import nibabel
def euler2mat(z=0, y=0, x=0):
''' Return matrix for rotations around z, y and x axes
Uses the z, then y, then x convention above
Parameters
----------
z : scalar
... | 0 | 0 | 0 | 1,153 | 0 | 0 | 0 | 13 | 67 |
b2818f39265c4ccddafbd2a91b3f41ba311adca9 | 184 | py | Python | autos/forms.py | CodeByLine/dj4e-tutorial | 8cb592658a18777220eb297e63d42f2a7d53733c | [
"CC-BY-3.0"
] | null | null | null | autos/forms.py | CodeByLine/dj4e-tutorial | 8cb592658a18777220eb297e63d42f2a7d53733c | [
"CC-BY-3.0"
] | 3 | 2021-04-12T16:18:58.000Z | 2021-06-10T20:40:08.000Z | autos/forms.py | CodeByLine/dj4e-tutorial | 8cb592658a18777220eb297e63d42f2a7d53733c | [
"CC-BY-3.0"
] | null | null | null |
# Create the form class.
| 16.727273 | 34 | 0.684783 |
from django.forms import ModelForm
from autos.models import Make
# Create the form class.
class MakeForm(ModelForm):
class Meta:
model = Make
fields = '__all__'
| 0 | 0 | 0 | 69 | 0 | 0 | 0 | 21 | 67 |
1999a513013877f63328295084923063e7609448 | 1,133 | py | Python | tests/ut_RSSModel.py | crawfordsm/pyspectrograph | 4237ba4b4fe08a69e1d6487924d959f089ecca46 | [
"BSD-3-Clause"
] | 18 | 2015-01-11T21:04:59.000Z | 2021-08-06T18:30:47.000Z | tests/ut_RSSModel.py | crawfordsm/pyspectrograph | 4237ba4b4fe08a69e1d6487924d959f089ecca46 | [
"BSD-3-Clause"
] | 14 | 2015-04-23T09:39:16.000Z | 2017-12-03T12:49:05.000Z | tests/ut_RSSModel.py | crawfordsm/pyspectrograph | 4237ba4b4fe08a69e1d6487924d959f089ecca46 | [
"BSD-3-Clause"
] | 5 | 2015-04-23T08:17:37.000Z | 2019-06-22T13:36:47.000Z | import pylab as pl
from PySpectrograph.Models import RSSModel
from PySpectrograph.Spectra import Spectrum
# create the spectrograph model
rss = RSSModel.RSSModel(grating_name="PG0900", gratang=15.875, camang=31.76496,
slit=1.50, xbin=2, ybin=2)
# print out some basic statistics
print(1e7 * r... | 32.371429 | 106 | 0.718447 | import pylab as pl
from PySpectrograph.Models import RSSModel
from PySpectrograph.Spectra import Spectrum
# create the spectrograph model
rss = RSSModel.RSSModel(grating_name="PG0900", gratang=15.875, camang=31.76496,
slit=1.50, xbin=2, ybin=2)
# print out some basic statistics
print(1e7 * r... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b1cf6e62e796025a0db200addf50674a66b94745 | 71 | py | Python | dolosse/hardware/xia/pixie16/__init__.py | Tobias2023/dolosse | 7e56a84d7da2a3f0d6d409f1cb7ea5accb12cac5 | [
"Apache-2.0"
] | 9 | 2019-05-17T11:27:02.000Z | 2020-12-18T15:37:48.000Z | dolosse/hardware/xia/pixie16/__init__.py | Tobias2023/dolosse | 7e56a84d7da2a3f0d6d409f1cb7ea5accb12cac5 | [
"Apache-2.0"
] | 84 | 2019-04-08T10:10:37.000Z | 2020-11-16T00:46:54.000Z | dolosse/hardware/xia/pixie16/__init__.py | Tobias2023/dolosse | 7e56a84d7da2a3f0d6d409f1cb7ea5accb12cac5 | [
"Apache-2.0"
] | 5 | 2019-11-09T18:23:48.000Z | 2020-05-08T12:24:55.000Z | """
Classes related to working with XIA's Pixie16 electronics line
"""
| 17.75 | 62 | 0.746479 | """
Classes related to working with XIA's Pixie16 electronics line
"""
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
535661c27727160f3618660e5d2f29b253b44d2a | 1,865 | py | Python | ExampleGame/examplegame/japanese.py | glyph/imaginary | 62299c8a0481bbee51444e688f45385a81cad328 | [
"MIT"
] | 25 | 2015-01-10T02:26:43.000Z | 2021-08-20T09:40:46.000Z | ExampleGame/examplegame/japanese.py | DalavanCloud/imaginary | e84abc98d400cff5e262df2b34e725dde575af8e | [
"MIT"
] | 65 | 2015-01-07T08:02:53.000Z | 2022-02-06T02:15:09.000Z | ExampleGame/examplegame/japanese.py | DalavanCloud/imaginary | e84abc98d400cff5e262df2b34e725dde575af8e | [
"MIT"
] | 7 | 2015-03-03T18:44:29.000Z | 2021-07-28T02:54:10.000Z | """
Japanese language data.
This module contains a dict named 'hiragana' which maps hiragana
unicode characters to romaji pronunciations, as well as a
'romajiToHiragana' dict which maps romaji pronunciation to *lists* of
hiragana characters. There are multiple hiragana characters with the
same pronunciation, thus the ... | 42.386364 | 72 | 0.534048 | """
Japanese language data.
This module contains a dict named 'hiragana' which maps hiragana
unicode characters to romaji pronunciations, as well as a
'romajiToHiragana' dict which maps romaji pronunciation to *lists* of
hiragana characters. There are multiple hiragana characters with the
same pronunciation, thus the ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
439c78b9ba443d280780aed9883c9b182bd3596b | 1,961 | py | Python | betrayal/models.py | danpatrickoneill/bahoth-be | a46ef2c0bac873c32900784336f0664d43a9bf3f | [
"MIT"
] | null | null | null | betrayal/models.py | danpatrickoneill/bahoth-be | a46ef2c0bac873c32900784336f0664d43a9bf3f | [
"MIT"
] | 4 | 2020-07-17T18:11:49.000Z | 2021-06-04T22:52:30.000Z | betrayal/models.py | danpatrickoneill/bahoth-be | a46ef2c0bac873c32900784336f0664d43a9bf3f | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.auth.models import User
from uuid import uuid4
# Does it make sense to have a Game model that could be saved as an instance with Chars linked to it? Good to research
name = models.CharField(max_length=100)
card = models.IntegerField(choices=CARD_CHOICES)
effect = ... | 35.017857 | 136 | 0.732789 | from django.db import models
from django.contrib.auth.models import User
from uuid import uuid4
# Does it make sense to have a Game model that could be saved as an instance with Chars linked to it? Good to research
class Character(models.Model):
name = models.CharField(max_length=100)
description = models.TextFiel... | 0 | 0 | 0 | 1,137 | 0 | 0 | 0 | 0 | 114 |
be6b2f022901b01f3ab5c3b4fced43db992dd4dc | 14,990 | py | Python | examples/python/statespace_structural_harvey_jaeger.py | CCHiggins/statsmodels | 300b6fba90c65c8e94b4f83e04f7ae1b0ceeac2e | [
"BSD-3-Clause"
] | 6,931 | 2015-01-01T11:41:55.000Z | 2022-03-31T17:03:24.000Z | examples/python/statespace_structural_harvey_jaeger.py | CCHiggins/statsmodels | 300b6fba90c65c8e94b4f83e04f7ae1b0ceeac2e | [
"BSD-3-Clause"
] | 6,137 | 2015-01-01T00:33:45.000Z | 2022-03-31T22:53:17.000Z | examples/python/statespace_structural_harvey_jaeger.py | CCHiggins/statsmodels | 300b6fba90c65c8e94b4f83e04f7ae1b0ceeac2e | [
"BSD-3-Clause"
] | 2,608 | 2015-01-02T21:32:31.000Z | 2022-03-31T07:38:30.000Z | #!/usr/bin/env python
# coding: utf-8
# DO NOT EDIT
# Autogenerated from the notebook statespace_structural_harvey_jaeger.ipynb.
# Edit the notebook and then sync the output with this file.
#
# flake8: noqa
# DO NOT EDIT
# # Detrending, Stylized Facts and the Business Cycle
#
# In an influential article, Harvey and J... | 36.207729 | 79 | 0.663175 | #!/usr/bin/env python
# coding: utf-8
# DO NOT EDIT
# Autogenerated from the notebook statespace_structural_harvey_jaeger.ipynb.
# Edit the notebook and then sync the output with this file.
#
# flake8: noqa
# DO NOT EDIT
# # Detrending, Stylized Facts and the Business Cycle
#
# In an influential article, Harvey and J... | 45 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 45 |
fb50b92d8ad970ebb1b2a03e60cd8d784d47fc34 | 13,833 | py | Python | engineer/plugins/core.py | tylerbutler/engineer | 1fdcae512a828ea681be8c469f6863b974260614 | [
"MIT"
] | 6 | 2015-09-21T17:50:43.000Z | 2021-04-13T07:27:39.000Z | engineer/plugins/core.py | tylerbutler/engineer | 1fdcae512a828ea681be8c469f6863b974260614 | [
"MIT"
] | 40 | 2015-08-25T00:33:28.000Z | 2020-09-22T17:54:52.000Z | engineer/plugins/core.py | tylerbutler/engineer | 1fdcae512a828ea681be8c469f6863b974260614 | [
"MIT"
] | 5 | 2016-03-26T15:02:56.000Z | 2017-03-16T00:06:10.000Z | # coding=utf-8
__author__ = 'Tyler Butler <tyler@tylerbutler.com>'
# Adapted from Marty Alchin: http://martyalchin.com/2008/jan/10/simple-plugin-framework/
#noinspection PyUnresolvedReferences,PyUnusedLocal
def load_plugins():
"""Load all plugins."""
# Ensure the built-in plugins are loaded by importing t... | 44.05414 | 120 | 0.683583 | # coding=utf-8
import logging
__author__ = 'Tyler Butler <tyler@tylerbutler.com>'
# Adapted from Marty Alchin: http://martyalchin.com/2008/jan/10/simple-plugin-framework/
def find_plugins(entrypoint):
try:
import pkg_resources
except ImportError:
pkg_resources = None
if pkg_resources is... | 0 | 9,185 | 0 | 3,404 | 261 | 85 | 0 | 8 | 311 |
d843a9bfff16e3879512c66396513cbd209aeaee | 1,488 | py | Python | main.py | gaato/nkodice-discord | d693b0db37f1ca3480fd4de964434d9800b06a12 | [
"Apache-2.0"
] | null | null | null | main.py | gaato/nkodice-discord | d693b0db37f1ca3480fd4de964434d9800b06a12 | [
"Apache-2.0"
] | null | null | null | main.py | gaato/nkodice-discord | d693b0db37f1ca3480fd4de964434d9800b06a12 | [
"Apache-2.0"
] | null | null | null |
import discord
from config import DISCORD_TOKEN
client = discord.Client()
client.run(DISCORD_TOKEN)
| 24.8 | 102 | 0.584005 | import random
import discord
import asyncio
from config import DISCORD_TOKEN
client = discord.Client()
@client.event
async def on_ready():
print('It\'s activated')
async def nkodice(message: discord.Message):
rolls = random.choices(('う', 'ま', 'ち', 'ん', 'こ', 'お'), k=5)
roles = []
if rolls.count(... | 81 | 200 | 1,056 | 0 | 0 | 0 | 0 | -15 | 113 |
2340b3e5ef8a55bff3aa10e3481dcf91615e104d | 913 | py | Python | lesson_fifth/models.py | erdyneevzt/courses_django | 8b8baf58f30a4cbf91a46ce3709b87abed70d230 | [
"MIT"
] | null | null | null | lesson_fifth/models.py | erdyneevzt/courses_django | 8b8baf58f30a4cbf91a46ce3709b87abed70d230 | [
"MIT"
] | null | null | null | lesson_fifth/models.py | erdyneevzt/courses_django | 8b8baf58f30a4cbf91a46ce3709b87abed70d230 | [
"MIT"
] | null | null | null |
# Create your models here.
| 32.607143 | 128 | 0.694414 | from django.db import models
# Create your models here.
class Author1(models.Model):
CHOISES_FOR_CITY = (
('Moscow',"Москва"),
('Saint-Petersburgh', "Санкт-Петербург"),
('Novgorod',"Новогород"),
('Tomsk', "Томск"),
)
name = models.CharField(max_length=200,verbose_name="Им... | 232 | 0 | 0 | 694 | 0 | 0 | 0 | 7 | 68 |
32bb733d5b3608f348a3b6a17e4a5a8ff90017dc | 3,432 | py | Python | tests/test_cmip5.py | csiro-dcfp/intake-esm | eaaed45636aa8f831bdef9396ba4eb162ea1ca65 | [
"Apache-2.0"
] | null | null | null | tests/test_cmip5.py | csiro-dcfp/intake-esm | eaaed45636aa8f831bdef9396ba4eb162ea1ca65 | [
"Apache-2.0"
] | null | null | null | tests/test_cmip5.py | csiro-dcfp/intake-esm | eaaed45636aa8f831bdef9396ba4eb162ea1ca65 | [
"Apache-2.0"
] | null | null | null | import os
here = os.path.abspath(os.path.dirname(__file__))
| 35.75 | 92 | 0.628205 | import os
import intake
import pandas as pd
import pytest
import xarray as xr
from intake_esm import config
here = os.path.abspath(os.path.dirname(__file__))
def test_build_collection_file():
with config.set({'database-directory': './tests/test_collections'}):
collection_input_definition = os.path.join... | 0 | 980 | 0 | 0 | 0 | 2,147 | 0 | -12 | 250 |
6821010700887ff1ebd588f7645ccb249b198f69 | 46,905 | py | Python | venv/lib/python3.8/site-packages/azureml/data/tabular_dataset.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"MIT"
] | null | null | null | venv/lib/python3.8/site-packages/azureml/data/tabular_dataset.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"MIT"
] | null | null | null | venv/lib/python3.8/site-packages/azureml/data/tabular_dataset.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"MIT"
] | 2 | 2021-05-23T16:46:31.000Z | 2021-05-26T23:51:09.000Z | # ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
"""Contains functionality for representing data in a tabular format by parsing the provided file or list of files.
For more informat... | 54.540698 | 120 | 0.666965 | # ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
"""Contains functionality for representing data in a tabular format by parsing the provided file or list of files.
For more informat... | 0 | 37,831 | 0 | 7,180 | 0 | 117 | 0 | 894 | 305 |
3b96b87f169a53e2dc6907332c684b3e1522f75e | 3,958 | py | Python | importer.py | Popkornium18/telegram-losungen | 51e81ac7feca0bcebbc63f6160d3adf96358973d | [
"MIT"
] | 2 | 2021-07-20T20:10:20.000Z | 2021-12-17T15:38:50.000Z | importer.py | Popkornium18/telegram-losungen | 51e81ac7feca0bcebbc63f6160d3adf96358973d | [
"MIT"
] | 10 | 2021-07-27T17:19:12.000Z | 2022-03-31T15:23:05.000Z | importer.py | Popkornium18/telegram-losungen | 51e81ac7feca0bcebbc63f6160d3adf96358973d | [
"MIT"
] | null | null | null | """Functions for importing Losungen from the official download page"""
from zipfile import ZipFile
import datetime
import os
import requests
import logging
from sqlalchemy.orm import Session
from losungen import SessionMaker
from losungen.repositories import TagesLosungRepository
LOSUNGEN_URL = "https://www.losungen.d... | 31.664 | 81 | 0.650076 | """Functions for importing Losungen from the official download page"""
from typing import List
from zipfile import ZipFile
import datetime
import xml.etree.ElementTree as ET
import os
import re
import requests
import logging
from sqlalchemy.orm import Session
from losungen import SessionMaker
from losungen.models impor... | 0 | 0 | 0 | 0 | 0 | 1,049 | 0 | 21 | 111 |
3c1623a59de3e86e1eeaf18cc199ea8f5630d9e0 | 12,801 | py | Python | src/chemftr/thc/utils/thc_objectives.py | ncrubin/chemftr | 5cbbec7138d4c07f4b7facbe5052d0cbe00ecbda | [
"Apache-2.0"
] | null | null | null | src/chemftr/thc/utils/thc_objectives.py | ncrubin/chemftr | 5cbbec7138d4c07f4b7facbe5052d0cbe00ecbda | [
"Apache-2.0"
] | null | null | null | src/chemftr/thc/utils/thc_objectives.py | ncrubin/chemftr | 5cbbec7138d4c07f4b7facbe5052d0cbe00ecbda | [
"Apache-2.0"
] | null | null | null | import os
# set mkl thread count for numpy einsum/tensordot calls
# leave one CPU un used so we can still access this computer
import scipy.optimize
os.environ["MKL_NUM_THREADS"] = "{}".format(os.cpu_count() - 1)
# os.environ["MKL_NUM_THREADS"] = "40" # "{}".format(os.cpu_count() - 1)
import jax.numpy as jnp
from ja... | 43.989691 | 146 | 0.636435 | import os
# set mkl thread count for numpy einsum/tensordot calls
# leave one CPU un used so we can still access this computer
import scipy.optimize
os.environ["MKL_NUM_THREADS"] = "{}".format(os.cpu_count() - 1)
# os.environ["MKL_NUM_THREADS"] = "40" # "{}".format(os.cpu_count() - 1)
import jax.numpy as jnp
from ja... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 92 |
ec3443d021e3dcecbf81a5eaadc6d0a5332c17eb | 3,111 | py | Python | glaive/glaive.py | peixian/Ultralisk | 7de450ac5986212cf13fc5b861a34d35257a48f9 | [
"MIT"
] | null | null | null | glaive/glaive.py | peixian/Ultralisk | 7de450ac5986212cf13fc5b861a34d35257a48f9 | [
"MIT"
] | null | null | null | glaive/glaive.py | peixian/Ultralisk | 7de450ac5986212cf13fc5b861a34d35257a48f9 | [
"MIT"
] | null | null | null | import sklearn.cross_validation as cv
from sklearn import tree
import pandas as pd
import numpy as np
import os.path
import pprint
import matplotlib.pyplot as plt
import seaborn as sns
import runExperiments
from pybrain.datasets import SupervisedDataSet
from pybrain.supervised.trainers import BackpropTrainer
from pybr... | 33.451613 | 87 | 0.728705 | import sklearn.cross_validation as cv
from sklearn import tree
import pandas as pd
import numpy as np
import os.path
import pprint
import matplotlib.pyplot as plt
import seaborn as sns
import runExperiments
from pybrain.datasets import SupervisedDataSet
from pybrain.supervised.trainers import BackpropTrainer
from pybr... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f70c77dce55c5afe74d3faf888bccf4b6e67116c | 6,274 | py | Python | A2C/utils.py | CommanderCero/RL_Algorithms | fd8172e0075247b682a1dca752306147fa2ed3ba | [
"Apache-2.0"
] | 1 | 2021-10-06T14:45:41.000Z | 2021-10-06T14:45:41.000Z | A2C/utils.py | CommanderCero/RL_Algorithms | fd8172e0075247b682a1dca752306147fa2ed3ba | [
"Apache-2.0"
] | null | null | null | A2C/utils.py | CommanderCero/RL_Algorithms | fd8172e0075247b682a1dca752306147fa2ed3ba | [
"Apache-2.0"
] | null | null | null | import scipy.signal as signal
import torch.nn as nn
def discounted_cumsum(rewards, reward_decay):
"""Taken from https://stackoverflow.com/questions/47970683/vectorize-a-numpy-discount-calculation"""
return signal.lfilter([1], [1, -reward_decay], x=rewards[::-1])[::-1]
| 36.265896 | 104 | 0.603762 | import scipy.signal as signal
import torch
import torch.nn as nn
import numpy as np
import models
import gym
import wandb
def create_feedforward(sizes, activation=nn.ReLU):
layers = []
for i in range(len(sizes) - 1):
layers.append(nn.Linear(sizes[i], sizes[i+1]))
if i < len(sizes) - 2:
... | 0 | 0 | 0 | 4,384 | 0 | 1,371 | 0 | -40 | 264 |
69621724e7bf731c95055584838600b07febc5a3 | 524 | py | Python | busqueda_binaria.py | SebaB29/Python | 8fe7b375e200d2a629e3ef83a2356002621267a6 | [
"MIT"
] | null | null | null | busqueda_binaria.py | SebaB29/Python | 8fe7b375e200d2a629e3ef83a2356002621267a6 | [
"MIT"
] | null | null | null | busqueda_binaria.py | SebaB29/Python | 8fe7b375e200d2a629e3ef83a2356002621267a6 | [
"MIT"
] | null | null | null |
lista = [1,2,3,4,5,6,7,89,9,8,5,5,2,1]
print(busqueda_binaria(lista, 9)) | 32.75 | 67 | 0.664122 | def _busqueda_binaria(lista, elemento, desde, hasta):
if desde > hasta:
return -1
medio = (hasta + desde) // 2
if lista[medio] == elemento:
return medio
if elemento < lista[medio]:
return _busqueda_binaria(lista, elemento, desde, medio - 1)
return _busqueda_binaria(lista, ele... | 0 | 0 | 0 | 0 | 0 | 405 | 0 | 0 | 45 |
73c88ffa050bfb56ce4452497b71a7e5d65513ba | 3,126 | py | Python | 24. Exam Prep/exam_10apr/tests/test_survivor.py | elenaborisova/Python-OOP | 584882c08f84045b12322917f0716c7c7bd9befc | [
"MIT"
] | 1 | 2021-03-27T16:56:30.000Z | 2021-03-27T16:56:30.000Z | 24. Exam Prep/exam_10apr/tests/test_survivor.py | elenaborisova/Python-OOP | 584882c08f84045b12322917f0716c7c7bd9befc | [
"MIT"
] | null | null | null | 24. Exam Prep/exam_10apr/tests/test_survivor.py | elenaborisova/Python-OOP | 584882c08f84045b12322917f0716c7c7bd9befc | [
"MIT"
] | 1 | 2021-03-15T14:50:39.000Z | 2021-03-15T14:50:39.000Z | import unittest
if __name__ == '__main__':
unittest.main()
| 32.905263 | 87 | 0.710493 | import unittest
from exam_10apr.project.survivor import Survivor
class SurvivorTests(unittest.TestCase):
def test_survivorInit_whenNameIsValid_shouldAssignIt(self):
survivor = Survivor('test', 23)
self.assertEqual('test', survivor.name)
def test_survivorInit_whenNameIsInvalid_shouldRaise(self... | 0 | 0 | 0 | 2,988 | 0 | 0 | 0 | 27 | 45 |
86be5e7da58e9d936e27b9f8b0e218fff4eb3310 | 3,433 | py | Python | tests/integration_tests/security/api_tests.py | delorenzosoftware/superset | 5403f1ec163a52623f34f459d89f20e4e190371d | [
"Apache-2.0"
] | 1 | 2022-02-18T10:21:55.000Z | 2022-02-18T10:21:55.000Z | tests/integration_tests/security/api_tests.py | changeiot/superset | 299b5dc64448d04abe6b35ee85fbd2b938c781bc | [
"Apache-2.0"
] | 11 | 2021-12-06T10:46:10.000Z | 2022-02-23T11:18:03.000Z | tests/integration_tests/security/api_tests.py | changeiot/superset | 299b5dc64448d04abe6b35ee85fbd2b938c781bc | [
"Apache-2.0"
] | 1 | 2022-03-09T02:57:17.000Z | 2022-03-09T02:57:17.000Z | # 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... | 34.676768 | 85 | 0.669968 | # 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... | 0 | 0 | 0 | 2,370 | 0 | 0 | 0 | 63 | 158 |
7d5c15e9d80b93ed503999c654aa06483ce59032 | 3,137 | py | Python | src/day-8/main.py | tpssim/advent-of-code-2021 | 14f534d63b56d23a1641bdc252bc6be29e32e3e3 | [
"MIT"
] | null | null | null | src/day-8/main.py | tpssim/advent-of-code-2021 | 14f534d63b56d23a1641bdc252bc6be29e32e3e3 | [
"MIT"
] | null | null | null | src/day-8/main.py | tpssim/advent-of-code-2021 | 14f534d63b56d23a1641bdc252bc6be29e32e3e3 | [
"MIT"
] | null | null | null |
# Parse the input from the input file
input_file = 'example_input.txt'
inputs = []
outputs = []
with open(input_file) as input:
for line in input.readlines():
split_line = line.split(' | ')
# Sort every string alphabetically to make further analysis easier
inputs.append([''.join(sorted(digit)) for digi... | 35.247191 | 94 | 0.602486 |
# Parse the input from the input file
input_file = 'example_input.txt'
inputs = []
outputs = []
with open(input_file) as input:
for line in input.readlines():
split_line = line.split(' | ')
# Sort every string alphabetically to make further analysis easier
inputs.append([''.join(sorted(digit)) for digi... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b0b95eedc79611355c612ba38534a5218d9a9835 | 4,351 | py | Python | tests/test_nullmodels.py | sztal/pathcensus | 0246b1450e5d7fa0421e283f980c367100fcdd6a | [
"MIT"
] | null | null | null | tests/test_nullmodels.py | sztal/pathcensus | 0246b1450e5d7fa0421e283f980c367100fcdd6a | [
"MIT"
] | null | null | null | tests/test_nullmodels.py | sztal/pathcensus | 0246b1450e5d7fa0421e283f980c367100fcdd6a | [
"MIT"
] | null | null | null | """Unit tests for :mod:`pathcensus.nullmodels`."""
# pylint: disable=redefined-outer-name
from itertools import product
FAMILY = ("erdos_renyi", "geometric")
SEEDS = (20, 40)
_params = list(product(FAMILY, SEEDS))
_methods = ("newton", "fixed-point")
_ubcm_params = list(product(["cm_exp", "cm"], _methods))
_uecm_par... | 31.078571 | 74 | 0.643071 | """Unit tests for :mod:`pathcensus.nullmodels`."""
# pylint: disable=redefined-outer-name
import random
from itertools import product
import pytest
import numpy as np
from pathcensus.nullmodels import UBCM, UECM
from pathcensus.utils import rowsums, set_numba_seed
from pathcensus.utils import relclose
from tests.utils ... | 0 | 891 | 0 | 2,676 | 0 | 0 | 0 | 121 | 291 |
9b37adbc6017848e838f3819b3a328f6adc4fde6 | 2,733 | py | Python | rta/models/rolling_median.py | MatteoLacki/rta | 93944d6fc934126e0bb4d076c8b4213cadbe49a1 | [
"BSD-2-Clause"
] | 1 | 2018-05-31T14:31:18.000Z | 2018-05-31T14:31:18.000Z | rta/models/rolling_median.py | MatteoLacki/rta | 93944d6fc934126e0bb4d076c8b4213cadbe49a1 | [
"BSD-2-Clause"
] | null | null | null | rta/models/rolling_median.py | MatteoLacki/rta | 93944d6fc934126e0bb4d076c8b4213cadbe49a1 | [
"BSD-2-Clause"
] | null | null | null | try:
import matplotlib.pyplot as plt
except ModuleNotFoundError:
plt = None
#TODO: implement this.
| 28.46875 | 108 | 0.562386 | try:
import matplotlib.pyplot as plt
except ModuleNotFoundError:
plt = None
import numpy as np
from scipy.interpolate import interp1d
from scipy.signal import medfilt
from rta.models.interpolant import Interpolant
from rta.models.spline import Spline
from rta.array_operations.dedupy import dedup_np
from rta.ma... | 0 | 0 | 0 | 2,278 | 0 | 0 | 0 | 119 | 223 |
a61c2f0d8b9b2a3c40c353b6dd04cca283f1aa70 | 11,553 | py | Python | map_objects/game_map.py | Nicocchi/rougelike | c8cc2ee4f3c1a12091a50a961de4b47c83e4e3b5 | [
"MIT"
] | 1 | 2020-01-21T11:30:09.000Z | 2020-01-21T11:30:09.000Z | map_objects/game_map.py | Nicocchi/rougelike | c8cc2ee4f3c1a12091a50a961de4b47c83e4e3b5 | [
"MIT"
] | 4 | 2021-04-30T21:05:28.000Z | 2022-03-12T00:13:13.000Z | map_objects/game_map.py | Nicocchi/rougelike | c8cc2ee4f3c1a12091a50a961de4b47c83e4e3b5 | [
"MIT"
] | null | null | null |
DEPTH = 10
MIN_SIZE = 5
FULL_ROOMS = False
MAP_WIDTH = 63
MAP_HEIGHT = 40
bsp_rooms = []
| 46.963415 | 124 | 0.56903 | import tcod as libtcodpy
from random import randint
from components.ai import BasicMonster
from components.equipment import EquipmentSlots
from components.equippable import Equippable
from components.fighter import Fighter
from components.item import Item
from components.stairs import Stairs
from entity import Entity... | 0 | 0 | 0 | 10,823 | 0 | 0 | 0 | 283 | 355 |
099fdd831a65b2a78353d24b34be9c17c37cba63 | 1,551 | py | Python | fairml/non_linear_expansion.py | ravish0007/fairml | bdfb707ff9554c1a789dc8de3926c1ef3cfb1fc8 | [
"MIT"
] | 330 | 2017-02-24T08:34:39.000Z | 2022-02-24T15:41:19.000Z | fairml/non_linear_expansion.py | ravish0007/fairml | bdfb707ff9554c1a789dc8de3926c1ef3cfb1fc8 | [
"MIT"
] | 14 | 2017-02-02T00:54:16.000Z | 2021-02-19T16:01:20.000Z | fairml/non_linear_expansion.py | ravish0007/fairml | bdfb707ff9554c1a789dc8de3926c1ef3cfb1fc8 | [
"MIT"
] | 70 | 2017-01-31T20:51:10.000Z | 2022-02-17T07:38:52.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
| 31.02 | 67 | 0.580916 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import pandas as pd
from collections import defaultdict
from random import randint
import six
def return_non_linear_transformation(v1, poly, log, square_root,
... | 0 | 0 | 0 | 0 | 0 | 1,304 | 0 | 3 | 134 |
83ec1c231ff393b0586eb485267dbbf932d48ceb | 776 | py | Python | 2018/05.py | bernikr/advent-of-code | 331e5257b9f812776d0723c7cdec349770498d34 | [
"MIT"
] | 1 | 2020-12-06T13:07:55.000Z | 2020-12-06T13:07:55.000Z | 2018/05.py | bernikr/advent-of-code | 331e5257b9f812776d0723c7cdec349770498d34 | [
"MIT"
] | null | null | null | 2018/05.py | bernikr/advent-of-code | 331e5257b9f812776d0723c7cdec349770498d34 | [
"MIT"
] | null | null | null | from aocd import get_data
if __name__ == '__main__':
data = get_data(day=5, year=2018)
inp = data
print(part1(inp))
print(part2(inp))
| 22.823529 | 99 | 0.490979 | from aocd import get_data
def react(p):
diff = abs(ord('A')-ord('a'))
poly = list(p)
changed = True
while changed:
changed = False
for i in range(0, len(poly)-1):
if poly[i] != '-' and abs(ord(poly[i])-ord(poly[i+1])) == diff:
poly[i] = '-'
... | 0 | 0 | 0 | 0 | 0 | 552 | 0 | 0 | 69 |
581b5ad28dcb7302d27dd121bec6759029fd818e | 621 | py | Python | setup.py | aakashns/swiftai | 7f18237d5b92ae9c016a595d01ef6ee207855b2f | [
"MIT"
] | null | null | null | setup.py | aakashns/swiftai | 7f18237d5b92ae9c016a595d01ef6ee207855b2f | [
"MIT"
] | null | null | null | setup.py | aakashns/swiftai | 7f18237d5b92ae9c016a595d01ef6ee207855b2f | [
"MIT"
] | null | null | null | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="swiftai",
version="0.1",
author="Aakash N S",
author_email="opensource@swiftace.ai",
description="Utilities and helper functions for Pytorch and FastAI deep learning libraries",
long_description=lon... | 29.571429 | 94 | 0.719807 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="swiftai",
version="0.1",
author="Aakash N S",
author_email="opensource@swiftace.ai",
description="Utilities and helper functions for Pytorch and FastAI deep learning libraries",
long_description=lon... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
94aed4e7eefe30a4863f63ee3ec88ba50525aa7a | 6,927 | py | Python | training/trainingdata.py | imdatsolak/bender | e20a5c7553d0db60440573b4fc3e907d6a8d5fad | [
"BSD-3-Clause"
] | null | null | null | training/trainingdata.py | imdatsolak/bender | e20a5c7553d0db60440573b4fc3e907d6a8d5fad | [
"BSD-3-Clause"
] | null | null | null | training/trainingdata.py | imdatsolak/bender | e20a5c7553d0db60440573b4fc3e907d6a8d5fad | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import print_function, unicode_literals
import sys
reload(sys)
sys.setdefaultencoding("utf-8")
"""
Training-Data-Structure:
class TrainingDataConverter
Copyright (c) 2019 Imdat Solak
Written: 2017-04-12 00:00 CET, ISO
"""
| 48.78169 | 155 | 0.700592 | # -*- coding: utf-8 -*-
from __future__ import print_function, unicode_literals
import sys
reload(sys)
sys.setdefaultencoding("utf-8")
import os
import logging
import nltk.data
from core import utils
from core.progressbar import ProgressBar, Percentage, Bar, ETA, FormatLabel, AnimatedMarker
import codecs
from modules.... | 0 | 0 | 0 | 6,140 | 0 | 0 | 0 | 188 | 330 |
af9b3f69b1325129ae442f2d87c9a08513882bd7 | 2,014 | py | Python | egs/sre21-av-a/v1.16k/local/estimate_lid_labels.py | hyperion-ml/hyperion | c4c9eee0acab1ba572843373245da12d00dfffaa | [
"Apache-2.0"
] | 14 | 2021-12-19T04:24:15.000Z | 2022-03-18T03:24:04.000Z | egs/sre21-av-a/v1.16k/local/estimate_lid_labels.py | hyperion-ml/hyperion | c4c9eee0acab1ba572843373245da12d00dfffaa | [
"Apache-2.0"
] | null | null | null | egs/sre21-av-a/v1.16k/local/estimate_lid_labels.py | hyperion-ml/hyperion | c4c9eee0acab1ba572843373245da12d00dfffaa | [
"Apache-2.0"
] | 5 | 2021-12-14T20:41:27.000Z | 2022-02-24T14:18:11.000Z | #!/usr/bin/env python
"""
Copyright 2018 Johns Hopkins University (Author: Jesus Villalba)
Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""
import logging
from jsonargparse import ArgumentParser, namespace_to_dict
from hyperion.hyp_defs import config_logger
if __name__ == "__main__":
parser =... | 29.188406 | 84 | 0.66435 | #!/usr/bin/env python
"""
Copyright 2018 Johns Hopkins University (Author: Jesus Villalba)
Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""
import os
import logging
from jsonargparse import ArgumentParser, namespace_to_dict
import math
import numpy as np
from hyperion.hyp_defs import float_cpu, con... | 0 | 0 | 0 | 0 | 0 | 797 | 0 | 39 | 135 |
39501971fe565c85d10ffb357bd2874912b66428 | 278 | py | Python | backend/users/urls.py | alessondelmiro/github_monitor | 27447da7ddd9a3da6241da112c494f4abff57928 | [
"MIT"
] | null | null | null | backend/users/urls.py | alessondelmiro/github_monitor | 27447da7ddd9a3da6241da112c494f4abff57928 | [
"MIT"
] | 1 | 2020-05-18T02:53:52.000Z | 2020-05-18T02:53:52.000Z | backend/users/urls.py | alessondelmiro/github_monitor | 27447da7ddd9a3da6241da112c494f4abff57928 | [
"MIT"
] | null | null | null | from django.conf.urls import include
from django.urls import path
from rest_framework import routers
from .viewsets import UserViewSet
ROUTER = routers.DefaultRouter()
ROUTER.register(r'', UserViewSet, basename='User')
urlpatterns = (
path('', include(ROUTER.urls)),
)
| 18.533333 | 50 | 0.758993 | from django.conf.urls import include
from django.urls import path
from rest_framework import routers
from .viewsets import UserViewSet
ROUTER = routers.DefaultRouter()
ROUTER.register(r'', UserViewSet, basename='User')
urlpatterns = (
path('', include(ROUTER.urls)),
)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5d9d1cf5f7ce68f79c998a02ff1931832057feb4 | 2,225 | py | Python | run_tests.py | Songtrust/django-cache-machine | ddc144875ec7b3b6fb121c7384c4fe2c4f9fbcda | [
"BSD-3-Clause"
] | null | null | null | run_tests.py | Songtrust/django-cache-machine | ddc144875ec7b3b6fb121c7384c4fe2c4f9fbcda | [
"BSD-3-Clause"
] | null | null | null | run_tests.py | Songtrust/django-cache-machine | ddc144875ec7b3b6fb121c7384c4fe2c4f9fbcda | [
"BSD-3-Clause"
] | null | null | null | """
Creating standalone Django apps is a PITA because you're not in a project, so
you don't have a settings.py file. I can never remember to define
DJANGO_SETTINGS_MODULE, so I run these commands which get the right env
automatically.
"""
import os
NAME = os.path.basename(os.path.dirname(__file__))
ROOT = os.path.abs... | 37.083333 | 91 | 0.625618 | """
Creating standalone Django apps is a PITA because you're not in a project, so
you don't have a settings.py file. I can never remember to define
DJANGO_SETTINGS_MODULE, so I run these commands which get the right env
automatically.
"""
import argparse
import os
import sys
from subprocess import call, check_output
... | 0 | 0 | 0 | 0 | 0 | 1,445 | 0 | 3 | 89 |
34079e62d9a0ac3312266f9963fef439c646fc32 | 557 | py | Python | bhcrjyApp/app/index.py | caochong01/quick-reptiler | e605afce0c3558a1a01b2406dae88c8f3a0f8792 | [
"Apache-2.0"
] | null | null | null | bhcrjyApp/app/index.py | caochong01/quick-reptiler | e605afce0c3558a1a01b2406dae88c8f3a0f8792 | [
"Apache-2.0"
] | null | null | null | bhcrjyApp/app/index.py | caochong01/quick-reptiler | e605afce0c3558a1a01b2406dae88c8f3a0f8792 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from flask.blueprints import Blueprint
bp = Blueprint('index', __name__, url_prefix='/')
| 25.318182 | 105 | 0.728905 | # -*- coding: utf-8 -*-
from bhcrjyApp.AppUtils.HttpMessageTool import HttpUtils
from bhcrjyApp.app import loginCheck
from flask.blueprints import Blueprint
from flask import request, make_response
from flask import render_template, redirect, abort, url_for
bp = Blueprint('index', __name__, url_prefix='/')
@bp.rout... | 12 | 219 | 0 | 0 | 0 | 0 | 0 | 107 | 112 |
9f7f4b1ca5790f07a34806474fddf006ce47b3c8 | 1,365 | py | Python | py3server/swagger_server/test/test_concepts_controller.py | lhannest/pythonBeaconServerStub | 3fee2505f5f7afda9184277b5f6308ff05832e35 | [
"MIT"
] | null | null | null | py3server/swagger_server/test/test_concepts_controller.py | lhannest/pythonBeaconServerStub | 3fee2505f5f7afda9184277b5f6308ff05832e35 | [
"MIT"
] | null | null | null | py3server/swagger_server/test/test_concepts_controller.py | lhannest/pythonBeaconServerStub | 3fee2505f5f7afda9184277b5f6308ff05832e35 | [
"MIT"
] | null | null | null | # coding: utf-8
from __future__ import absolute_import
if __name__ == '__main__':
import unittest
unittest.main()
| 31.022727 | 102 | 0.597802 | # coding: utf-8
from __future__ import absolute_import
from swagger_server.models.inline_response2001 import InlineResponse2001
from swagger_server.models.inline_response2002 import InlineResponse2002
from . import BaseTestCase
from six import BytesIO
from flask import json
class TestConceptsController(BaseTestCase... | 0 | 0 | 0 | 995 | 0 | 0 | 0 | 110 | 134 |
afb45a1f6d669be9137bd116b381f8ffa90a7cd3 | 1,855 | py | Python | tests/seahub/views/sysadmin/test_sys_virus_scan_records.py | saukrIppl/newsea | 0fd5ab2ade9a8fb16b1e7b43ba13dac32eb39603 | [
"Apache-2.0"
] | 2 | 2017-06-21T09:46:55.000Z | 2018-05-30T10:07:32.000Z | tests/seahub/views/sysadmin/test_sys_virus_scan_records.py | saukrIppl/newsea | 0fd5ab2ade9a8fb16b1e7b43ba13dac32eb39603 | [
"Apache-2.0"
] | null | null | null | tests/seahub/views/sysadmin/test_sys_virus_scan_records.py | saukrIppl/newsea | 0fd5ab2ade9a8fb16b1e7b43ba13dac32eb39603 | [
"Apache-2.0"
] | 1 | 2020-10-01T04:11:41.000Z | 2020-10-01T04:11:41.000Z | import os
TRAVIS = 'TRAVIS' in os.environ
| 35 | 210 | 0.687332 | import os
from mock import patch
import pytest
from django.core.urlresolvers import reverse
from seahub.test_utils import BaseTestCase
TRAVIS = 'TRAVIS' in os.environ
class VirusScanRecord(object):
def __init__(self, repo_id):
self.repo_id = repo_id
class SysVirusScanRecordsTest(BaseTestCase):
# ... | 0 | 796 | 0 | 842 | 0 | 0 | 0 | 37 | 136 |
fc0bc2028b678416bdf0a92e7eb92733be71a5b3 | 1,043 | py | Python | playground/localController.py | sysuroboclub/LineFollowCar | 4ce8c85d0757190b98f782ec964bc8456efaf97f | [
"MIT"
] | 4 | 2019-11-28T11:40:42.000Z | 2019-12-04T11:38:42.000Z | playground/localController.py | sysuroboclub/LineFollowCar | 4ce8c85d0757190b98f782ec964bc8456efaf97f | [
"MIT"
] | null | null | null | playground/localController.py | sysuroboclub/LineFollowCar | 4ce8c85d0757190b98f782ec964bc8456efaf97f | [
"MIT"
] | null | null | null | from inputs import get_gamepad
import serial
ser=serial.Serial('COM4',115200)
prevB=0
while True:
events = get_gamepad()
#X,Y [-32768,+32768]
#Z,RZ(RT,LT) [0,255]
local=ser.read_all()
if len(local)>0:
print(local.decode())
for event in events:
# print(event.ev_type, e... | 31.606061 | 56 | 0.495686 | from inputs import get_gamepad
import serial
ser=serial.Serial('COM4',115200)
prevB=0
while True:
events = get_gamepad()
#X,Y [-32768,+32768]
#Z,RZ(RT,LT) [0,255]
local=ser.read_all()
if len(local)>0:
print(local.decode())
for event in events:
# print(event.ev_type, e... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9ee5b2331da5d82edf1810c3ea0de1c521383a2e | 9,145 | py | Python | gms-common/python/master-coi-data-client/util/flatfiles/fieldFormatter.py | SNL-GMS/GMS-PI7-OPEN | 4c5f2a33a45566b12897bcdc129609c9e6b95442 | [
"BSD-3-Clause"
] | 5 | 2020-01-20T14:53:11.000Z | 2021-11-30T23:01:08.000Z | gms-common/python/master-coi-data-client/util/flatfiles/fieldFormatter.py | SNL-GMS/GMS-PI7-OPEN | 4c5f2a33a45566b12897bcdc129609c9e6b95442 | [
"BSD-3-Clause"
] | 7 | 2019-12-30T06:08:08.000Z | 2022-03-02T06:38:09.000Z | gms-common/python/master-coi-data-client/util/flatfiles/fieldFormatter.py | SNL-GMS/GMS-PI7-OPEN | 4c5f2a33a45566b12897bcdc129609c9e6b95442 | [
"BSD-3-Clause"
] | 1 | 2019-12-10T19:37:03.000Z | 2019-12-10T19:37:03.000Z | # -*- coding: utf-8 -*-
'''
helper methods for formatting CSS flatfiles
All methods use ljust to left justify the field.
The integer argument to ljust specifies that a field has a width of exactly that integer value: the field
is padded with whitespace if the contents do not subsume the entire width.
The slicing (t... | 17.791829 | 106 | 0.721487 | # -*- coding: utf-8 -*-
import util.flatfiles.shared
from util.conversions import *
'''
helper methods for formatting CSS flatfiles
All methods use ljust to left justify the field.
The integer argument to ljust specifies that a field has a width of exactly that integer value: the field
is padded with whitespace if t... | 0 | 0 | 0 | 0 | 0 | 5,662 | 0 | 16 | 2,849 |
9e70df1d2d4dde6b061e90b058d2136c68d8f180 | 15,104 | py | Python | blink/biencoder/eval_entity_discovery.py | parin1995/claim2fact | 9f928a5789b3dc85cfa69395e0ba02b0b84276a8 | [
"MIT"
] | 8 | 2021-09-08T04:39:31.000Z | 2022-02-10T06:28:36.000Z | blink/biencoder/eval_entity_discovery.py | parin1995/claim2fact | 9f928a5789b3dc85cfa69395e0ba02b0b84276a8 | [
"MIT"
] | null | null | null | blink/biencoder/eval_entity_discovery.py | parin1995/claim2fact | 9f928a5789b3dc85cfa69395e0ba02b0b84276a8 | [
"MIT"
] | 2 | 2022-01-04T08:10:37.000Z | 2022-01-28T00:07:19.000Z | # Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 2021 Dhruv Agarwal and authors of arboEL.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import blink.candidate_ranking.utils as utils
from blink.common.... | 44.952381 | 189 | 0.647577 | # Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 2021 Dhruv Agarwal and authors of arboEL.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import os
import json
import math
import time
import torch
from... | 0 | 0 | 0 | 0 | 0 | 13,835 | 0 | 237 | 511 |
15a695620d5688781ce9dae02f1a6bc734c2c733 | 1,623 | py | Python | cupid/camera.py | iinnovations/iicontrollibs | 94af26a61405f1ad928d36e36602ebb859a2e44f | [
"Apache-2.0"
] | 11 | 2015-06-22T21:38:15.000Z | 2021-03-10T11:24:21.000Z | cupid/camera.py | iinnovations/iicontrollibs | 94af26a61405f1ad928d36e36602ebb859a2e44f | [
"Apache-2.0"
] | null | null | null | cupid/camera.py | iinnovations/iicontrollibs | 94af26a61405f1ad928d36e36602ebb859a2e44f | [
"Apache-2.0"
] | 12 | 2015-03-05T00:19:40.000Z | 2020-12-18T15:21:44.000Z | #!/usr/bin/python3
__author__ = "Colin Reese"
__copyright__ = "Copyright 2016, Interface Innovations"
__credits__ = ["Colin Reese"]
__license__ = "Apache 2.0"
__version__ = "1.0"
__maintainer__ = "Colin Reese"
__email__ = "support@interfaceinnovations.org"
__status__ = "Development"
if __name__ == "__main__":
ta... | 33.122449 | 181 | 0.674677 | #!/usr/bin/python3
__author__ = "Colin Reese"
__copyright__ = "Copyright 2016, Interface Innovations"
__credits__ = ["Colin Reese"]
__license__ = "Apache 2.0"
__version__ = "1.0"
__maintainer__ = "Colin Reese"
__email__ = "support@interfaceinnovations.org"
__status__ = "Development"
def takesnap(path='/var/www/webca... | 0 | 0 | 0 | 0 | 0 | 1,272 | 0 | 0 | 23 |
799cc6dc3e7ff67b281f390e045b4dee11a4e321 | 5,085 | py | Python | Task2/IGNORE_miscellaneousScripts/getPredictions_weakDefenses_old.py | Jacob-L-Vincent/project-athena | d1d300e375941399f116cbaa4678a9ed7c6652db | [
"MIT"
] | 1 | 2020-11-11T19:22:25.000Z | 2020-11-11T19:22:25.000Z | Task2/IGNORE_miscellaneousScripts/getPredictions_weakDefenses_old.py | Jacob-L-Vincent/project-athena | d1d300e375941399f116cbaa4678a9ed7c6652db | [
"MIT"
] | null | null | null | Task2/IGNORE_miscellaneousScripts/getPredictions_weakDefenses_old.py | Jacob-L-Vincent/project-athena | d1d300e375941399f116cbaa4678a9ed7c6652db | [
"MIT"
] | null | null | null | #########################################################
## generate the ensemble predictions for task 2 ##
## created by Isaac Keohane isaackeohane95@gmail.com ##
#########################################################
import os
import sys
module_path = os.path.abspath(os.path.join('../src'))
if module_pa... | 37.947761 | 108 | 0.632842 | #########################################################
## generate the ensemble predictions for task 2 ##
## created by Isaac Keohane isaackeohane95@gmail.com ##
#########################################################
import os
import sys
module_path = os.path.abspath(os.path.join('../src'))
if module_pa... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 22 |
c984f47ed4da7a82fac2d962c224423565a31436 | 1,569 | py | Python | DetectCartype.py | mani-vegupatti/car_detection_in_video | 4cf3b6aae6510e2cbfa5563898884f4ca73826b7 | [
"MIT"
] | null | null | null | DetectCartype.py | mani-vegupatti/car_detection_in_video | 4cf3b6aae6510e2cbfa5563898884f4ca73826b7 | [
"MIT"
] | null | null | null | DetectCartype.py | mani-vegupatti/car_detection_in_video | 4cf3b6aae6510e2cbfa5563898884f4ca73826b7 | [
"MIT"
] | null | null | null |
IMG_SIZE = 224
color = {}
| 34.866667 | 187 | 0.637349 | import tensorflow as tf
import keras
from keras.preprocessing import image
from keras.initializers import glorot_uniform
import numpy as np
import cv2
import os
import csv
IMG_SIZE = 224
color = {}
class DetectCartype():
def __init__(self,model_json="./cartype_model_data/cartype_model_v01.json", weights_h5="./ca... | 0 | 0 | 0 | 1,323 | 0 | 0 | 0 | -4 | 199 |
302fb68444e03d57eea86305002642d21bb55592 | 16,964 | py | Python | synarchive/connection.py | aimakerspace/synergos_archive | da68b745982658f50bd40ddc380c3dbc0dcb3b29 | [
"Apache-2.0"
] | null | null | null | synarchive/connection.py | aimakerspace/synergos_archive | da68b745982658f50bd40ddc380c3dbc0dcb3b29 | [
"Apache-2.0"
] | null | null | null | synarchive/connection.py | aimakerspace/synergos_archive | da68b745982658f50bd40ddc380c3dbc0dcb3b29 | [
"Apache-2.0"
] | 1 | 2022-01-21T01:05:46.000Z | 2022-01-21T01:05:46.000Z | #!/usr/bin/env python
####################
# Required Modules #
####################
# Generic/Built-in
# Libs
# Custom
##################
# Configurations #
##################
#############################################
# Data Storage Class - CollaborationRecords #
############################################... | 27.718954 | 85 | 0.551521 | #!/usr/bin/env python
####################
# Required Modules #
####################
# Generic/Built-in
import os
from typing import Dict
# Libs
import jsonschema
import tinydb
# Custom
from .base import TopicalRecords, AssociationRecords
from .config import SCHEMAS as schemas
##################
# Configurations #... | 0 | 0 | 0 | 15,521 | 0 | 0 | 0 | 26 | 293 |
2892d60bd5cafa38797d03497b75f39a0699992b | 1,368 | py | Python | src/datasets/ConvertLabels.py | kspalm/mlsvm | 808f5b81f2b19d32a1e472bd9b358f7a81e73736 | [
"BSD-2-Clause"
] | 25 | 2016-10-06T18:57:21.000Z | 2022-02-09T20:43:59.000Z | src/datasets/ConvertLabels.py | kspalm/mlsvm | 808f5b81f2b19d32a1e472bd9b358f7a81e73736 | [
"BSD-2-Clause"
] | 7 | 2017-08-22T18:45:19.000Z | 2019-09-20T20:09:35.000Z | src/datasets/ConvertLabels.py | kspalm/mlsvm | 808f5b81f2b19d32a1e472bd9b358f7a81e73736 | [
"BSD-2-Clause"
] | 14 | 2016-06-02T03:47:27.000Z | 2022-03-23T01:36:12.000Z | """
Author: Ehsan Sadrfaridpour
Date: Aug 24, 2018
Purpose: map other labels to -1 and 1 labels,
make sure the number of 1 labels are smaller than the number of -1 labels for MLSVM framework
Usage: define the preferred mapping in the label_map which is a dictionary.
The key is the old/current label(s) in the file... | 31.813953 | 94 | 0.682018 | """
Author: Ehsan Sadrfaridpour
Date: Aug 24, 2018
Purpose: map other labels to -1 and 1 labels,
make sure the number of 1 labels are smaller than the number of -1 labels for MLSVM framework
Usage: define the preferred mapping in the label_map which is a dictionary.
The key is the old/current label(s) in the file... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7204828998647edf6ac323e972bb569a6bb9580d | 11,218 | py | Python | file_transformer.py | benkehoe/file-transformer | 9c0d9be0048f4c02eb116f1c672cb5049b858106 | [
"Apache-2.0"
] | null | null | null | file_transformer.py | benkehoe/file-transformer | 9c0d9be0048f4c02eb116f1c672cb5049b858106 | [
"Apache-2.0"
] | 1 | 2018-02-08T19:04:07.000Z | 2018-02-08T19:04:07.000Z | file_transformer.py | benkehoe/file-transformer | 9c0d9be0048f4c02eb116f1c672cb5049b858106 | [
"Apache-2.0"
] | null | null | null | """ Utility functions for creating Python scripts that expect to turn one file into another, or use stdin/stdout as part of a pipeline.
Copyright 2018 Ben Kehoe
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... | 36.660131 | 155 | 0.643876 | """ Utility functions for creating Python scripts that expect to turn one file into another, or use stdin/stdout as part of a pipeline.
Copyright 2018 Ben Kehoe
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... | 0 | 97 | 0 | 4,977 | 0 | 1,375 | 0 | -28 | 188 |
da1566932d6442875c94f95faaa598b3b1adcdab | 5,015 | py | Python | magicclass/widgets/pywidgets/dict.py | hanjinliu/magic-class | 2a9d8af3d385ec3870ebcade9f2dbc03115bed22 | [
"BSD-3-Clause"
] | 15 | 2021-09-07T10:18:59.000Z | 2022-03-23T14:55:45.000Z | magicclass/widgets/pywidgets/dict.py | hanjinliu/magic-class | 2a9d8af3d385ec3870ebcade9f2dbc03115bed22 | [
"BSD-3-Clause"
] | 12 | 2021-09-10T08:54:43.000Z | 2022-03-31T02:43:50.000Z | magicclass/widgets/pywidgets/dict.py | hanjinliu/magic-class | 2a9d8af3d385ec3870ebcade9f2dbc03115bed22 | [
"BSD-3-Clause"
] | 1 | 2022-02-13T15:51:51.000Z | 2022-02-13T15:51:51.000Z | from __future__ import annotations | 32.993421 | 87 | 0.577069 | from __future__ import annotations
from typing import Any, Iterable, MutableMapping
from qtpy.QtWidgets import QTableWidget, QTableWidgetItem
from .object import BaseWidget, ContextMenuMixin, PyObjectBound
class DictWidget(BaseWidget, MutableMapping):
def __init__(self, value=None, **kwargs):
super().__in... | 0 | 584 | 0 | 4,098 | 0 | 0 | 0 | 105 | 194 |