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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1a84436ea566ea56f1a0741284baabd03a37ab2f | 258 | py | Python | binarysearch.io/356_123_number_switch.py | mishrakeshav/Competitive-Programming | b25dcfeec0fb9a9c71bf3a05644b619f4ca83dd2 | [
"MIT"
] | 2 | 2020-06-25T21:10:32.000Z | 2020-12-10T06:53:45.000Z | binarysearch.io/356_123_number_switch.py | mishrakeshav/Competitive-Programming | b25dcfeec0fb9a9c71bf3a05644b619f4ca83dd2 | [
"MIT"
] | null | null | null | binarysearch.io/356_123_number_switch.py | mishrakeshav/Competitive-Programming | b25dcfeec0fb9a9c71bf3a05644b619f4ca83dd2 | [
"MIT"
] | 3 | 2020-05-15T14:17:09.000Z | 2021-07-25T13:18:20.000Z | class Solution:
def solve(self, n):
n = list(str(n))
for i in range(len(n)):
if n[i] != '3':
n[i] = '3'
break
return int(''.join(n))
| 19.846154 | 31 | 0.29845 |
1a845d192e1f82ffb26694a535e6fbaf07f78908 | 2,617 | py | Python | lingua_franca/lang/common_data_pt.py | joanisc/lingua-franca | 96fd7d82282f0ec9b1507385ac6be3d6b29ab23b | [
"Apache-2.0"
] | 1 | 2020-08-13T12:21:56.000Z | 2020-08-13T12:21:56.000Z | lingua_franca/lang/common_data_pt.py | joanisc/lingua-franca | 96fd7d82282f0ec9b1507385ac6be3d6b29ab23b | [
"Apache-2.0"
] | 3 | 2021-06-08T21:06:32.000Z | 2022-01-13T02:22:38.000Z | lingua_franca/lang/common_data_pt.py | joanisc/lingua-franca | 96fd7d82282f0ec9b1507385ac6be3d6b29ab23b | [
"Apache-2.0"
] | 1 | 2020-08-13T12:21:58.000Z | 2020-08-13T12:21:58.000Z | # Undefined articles ["um", "uma", "uns", "umas"] can not be supressed,
# in PT, "um cavalo" means "a horse" or "one horse".
_ARTICLES_PT = ["o", "a", "os", "as"]
# word rules for gender
_FEMALE_ENDINGS_PT = ["a", "as"]
_MALE_ENDINGS_PT = ["o", "os"]
# special cases, word lookup for words not covered by above rule
_... | 19.529851 | 72 | 0.500191 |
1a8474727eb19931377f673169b956242c9f3fb5 | 3,152 | py | Python | credential_test.py | Vitalis-Kirui/Password-Locker | 5fd00431039c0306b660220b6cbb62805746b6e3 | [
"MIT"
] | null | null | null | credential_test.py | Vitalis-Kirui/Password-Locker | 5fd00431039c0306b660220b6cbb62805746b6e3 | [
"MIT"
] | null | null | null | credential_test.py | Vitalis-Kirui/Password-Locker | 5fd00431039c0306b660220b6cbb62805746b6e3 | [
"MIT"
] | 1 | 2021-09-07T09:27:44.000Z | 2021-09-07T09:27:44.000Z | import unittest
from credential import Credentials
class TestCredentials(unittest.TestCase):
"""
Test class that defines test cases for credentials class.
"""
def setUp(self):
"""
Setup method which is run first everytime we run a test.
"""
self.new_credentials = Creden... | 35.41573 | 123 | 0.675761 |
1a84788f700eb3583e39898b174e6318346cc6c0 | 1,642 | py | Python | tests/__init__.py | hhtong/dwave-cloud-client | 45e4d1d4f187b10495e38d47478f2c8d87514434 | [
"Apache-2.0"
] | null | null | null | tests/__init__.py | hhtong/dwave-cloud-client | 45e4d1d4f187b10495e38d47478f2c8d87514434 | [
"Apache-2.0"
] | null | null | null | tests/__init__.py | hhtong/dwave-cloud-client | 45e4d1d4f187b10495e38d47478f2c8d87514434 | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 D-Wave Systems Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | 37.318182 | 79 | 0.733861 |
1a84a0645866d3012d0fe2a20aa1005a33e17274 | 526 | py | Python | src/server/MhmServer/models/laboratory.py | jbrr/mosquito_heat_map | 2cce46a5e26526bd04a83486a62733ab343376ba | [
"MIT"
] | null | null | null | src/server/MhmServer/models/laboratory.py | jbrr/mosquito_heat_map | 2cce46a5e26526bd04a83486a62733ab343376ba | [
"MIT"
] | 2 | 2020-07-07T20:31:40.000Z | 2022-02-10T19:17:35.000Z | src/server/MhmServer/models/laboratory.py | jbrr/mosquito_heat_map | 2cce46a5e26526bd04a83486a62733ab343376ba | [
"MIT"
] | null | null | null | from MhmServer.database import (Column, DateTime, Integer, func, Model, relationship, String)
import datetime
class Laboratory(Model):
__tablename__ = 'laboratory'
id = Column(Integer, primary_key=True)
name = Column(String())
created_at = Column(DateTime(), default=func.now())
updated_at = Colum... | 35.066667 | 94 | 0.709125 |
1a84aa5a4f69c35286c6fd9bafa8b9ec3abd9a9c | 64,944 | py | Python | tflearn/layers/conv.py | lfwin/tflearn | 06015c73a4d9ad9edafeb9b61ee9004fd715f69e | [
"MIT"
] | null | null | null | tflearn/layers/conv.py | lfwin/tflearn | 06015c73a4d9ad9edafeb9b61ee9004fd715f69e | [
"MIT"
] | null | null | null | tflearn/layers/conv.py | lfwin/tflearn | 06015c73a4d9ad9edafeb9b61ee9004fd715f69e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import division, print_function, absolute_import
import tensorflow as tf
import numpy as np
from math import ceil
import tflearn
from .. import variables as vs
from .. import activations
from .. import initializations
from .. import losses
from .. import utils
import math
def ... | 40.064158 | 110 | 0.609263 |
1a84d8c771908f7764cab66d8bcc78f94bfda970 | 2,365 | py | Python | Tools/Scripts/webkitpy/tool/steps/applywatchlist_unittest.py | jacadcaps/webkitty | 9aebd2081349f9a7b5d168673c6f676a1450a66d | [
"BSD-2-Clause"
] | 6 | 2021-07-05T16:09:39.000Z | 2022-03-06T22:44:42.000Z | Tools/Scripts/webkitpy/tool/steps/applywatchlist_unittest.py | jacadcaps/webkitty | 9aebd2081349f9a7b5d168673c6f676a1450a66d | [
"BSD-2-Clause"
] | 7 | 2022-03-15T13:25:39.000Z | 2022-03-15T13:25:44.000Z | Tools/Scripts/webkitpy/tool/steps/applywatchlist_unittest.py | jacadcaps/webkitty | 9aebd2081349f9a7b5d168673c6f676a1450a66d | [
"BSD-2-Clause"
] | null | null | null | # Copyright (C) 2011 Google 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:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the f... | 44.622642 | 84 | 0.758985 |
1a85022cf3e8d25a16cfe9be0649abf232c8529f | 38,698 | py | Python | images_to_samples.py | mwesleyj/geo-deep-learning | 9bb8942156fc1a19f8f5ac911e237daa30740ca9 | [
"MIT"
] | null | null | null | images_to_samples.py | mwesleyj/geo-deep-learning | 9bb8942156fc1a19f8f5ac911e237daa30740ca9 | [
"MIT"
] | null | null | null | images_to_samples.py | mwesleyj/geo-deep-learning | 9bb8942156fc1a19f8f5ac911e237daa30740ca9 | [
"MIT"
] | null | null | null | # region imports
import argparse
from datetime import datetime
import logging
from typing import List
import numpy as np
np.random.seed(1234) # Set random seed for reproducibility
import rasterio
import time
import shutil
import uuid
from pathlib import Path
from tqdm import tqdm
from collections import OrderedDict
... | 53.010959 | 214 | 0.560804 |
1a85033f791a375ad836bbb245cfec6bbe51337c | 33,425 | py | Python | test/optimization/test_quadratic_program.py | tsura-crisaldo/qiskit-aqua | 2b4a70bb24a9170c3735124536dce1d7ffe4ed67 | [
"Apache-2.0"
] | null | null | null | test/optimization/test_quadratic_program.py | tsura-crisaldo/qiskit-aqua | 2b4a70bb24a9170c3735124536dce1d7ffe4ed67 | [
"Apache-2.0"
] | null | null | null | test/optimization/test_quadratic_program.py | tsura-crisaldo/qiskit-aqua | 2b4a70bb24a9170c3735124536dce1d7ffe4ed67 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2020.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modif... | 49.739583 | 98 | 0.610082 |
1a850c51473c27755c909effef3e97bb2377fd4e | 39,898 | py | Python | sdk/keyvault/azure-keyvault-keys/azure/keyvault/keys/_generated/v7_1/models/_models_py3.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-03-09T08:59:13.000Z | 2022-03-09T08:59:13.000Z | sdk/keyvault/azure-keyvault-keys/azure/keyvault/keys/_generated/v7_1/models/_models_py3.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/keyvault/azure-keyvault-keys/azure/keyvault/keys/_generated/v7_1/models/_models_py3.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-03-04T06:21:56.000Z | 2022-03-04T06:21:56.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 36.074141 | 110 | 0.6176 |
1a85456a117b162ebd4d33ab5fc8b5707cd83da1 | 173 | py | Python | master/teachkids-master/teachkids-master/intro/Fig2b.py | AlexRogalskiy/DevArtifacts | 931aabb8cbf27656151c54856eb2ea7d1153203a | [
"MIT"
] | 4 | 2018-09-07T15:35:24.000Z | 2019-03-27T09:48:12.000Z | master/teachkids-master/teachkids-master/intro/Fig2b.py | AlexRogalskiy/DevArtifacts | 931aabb8cbf27656151c54856eb2ea7d1153203a | [
"MIT"
] | 371 | 2020-03-04T21:51:56.000Z | 2022-03-31T20:59:11.000Z | master/teachkids-master/teachkids-master/intro/Fig2b.py | AlexRogalskiy/DevArtifacts | 931aabb8cbf27656151c54856eb2ea7d1153203a | [
"MIT"
] | 3 | 2019-06-18T19:57:17.000Z | 2020-11-06T03:55:08.000Z | import turtle
colors=['red', 'blue','yellow']
t=turtle.Pen()
t.width(5)
for x in range(360):
t.pencolor(colors[x%3])
t.forward(x * 2)
t.left(120 - 2)
| 19.222222 | 31 | 0.566474 |
1a8552d5a2b33ae21cb88eaa7da2de4bc3b2f0b2 | 1,594 | py | Python | lib/distributeprobes.py | xyanqian/multi_padlock_design | b2696cb615bd5688668b0fe768a4c19c0d0cb7aa | [
"MIT"
] | 6 | 2019-12-11T16:35:26.000Z | 2021-08-12T12:15:04.000Z | lib/distributeprobes.py | xyanqian/multi_padlock_design | b2696cb615bd5688668b0fe768a4c19c0d0cb7aa | [
"MIT"
] | 7 | 2018-07-05T13:50:27.000Z | 2022-03-07T07:20:51.000Z | lib/distributeprobes.py | xyanqian/multi_padlock_design | b2696cb615bd5688668b0fe768a4c19c0d0cb7aa | [
"MIT"
] | 5 | 2018-11-09T09:46:30.000Z | 2022-03-11T15:22:06.000Z | # for multi_padlock_design
# Xiaoyan, 2017
import numpy as np
def asmanyprobes(siteCandidates, originalmap, sequences, designpars):
Probes = []
ProbesPos = []
armlength = designpars[1]
interval = designpars[2]
for i, sites in enumerate(siteCandidates):
probes = []
probespos = []
... | 35.422222 | 103 | 0.580301 |
1a8557a3095387683549b704e634d4b9654a4b67 | 2,999 | py | Python | test/vanilla/low-level/Expected/AcceptanceTests/ParameterFlatteningLowLevel/parameterflatteninglowlevel/rest/availability_sets/_request_builders_py3.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | null | null | null | test/vanilla/low-level/Expected/AcceptanceTests/ParameterFlatteningLowLevel/parameterflatteninglowlevel/rest/availability_sets/_request_builders_py3.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | null | null | null | test/vanilla/low-level/Expected/AcceptanceTests/ParameterFlatteningLowLevel/parameterflatteninglowlevel/rest/availability_sets/_request_builders_py3.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | 1 | 2022-03-28T08:58:03.000Z | 2022-03-28T08:58:03.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 41.082192 | 112 | 0.665222 |
1a855b44417ba0b68209099293f26869134126e8 | 1,075 | py | Python | updot/updot/test/test__pyhacks.py | aaronsb/dotfiles | 8ab1af7e85bbeba09559ebb724469ea879900158 | [
"MIT"
] | 2 | 2017-09-03T16:52:54.000Z | 2018-01-18T00:27:45.000Z | updot/updot/test/test__pyhacks.py | aaronsb/dotfiles | 8ab1af7e85bbeba09559ebb724469ea879900158 | [
"MIT"
] | null | null | null | updot/updot/test/test__pyhacks.py | aaronsb/dotfiles | 8ab1af7e85bbeba09559ebb724469ea879900158 | [
"MIT"
] | 1 | 2019-05-03T14:59:59.000Z | 2019-05-03T14:59:59.000Z | import os
import pytest
from updot import platform
# pylint: disable=protected-access
def test__relative_paths__return_false():
"""Relative paths should always return false"""
assert not os.path.isabs('./path/to/thing')
assert not os.path.isabs('../path/to/thing')
assert not os.path.isabs('path/to... | 26.219512 | 76 | 0.700465 |
1a85627a7699f75d2507dbb41237dba1ad882e89 | 1,475 | py | Python | 02-parser/scanner.py | wgslr/agh-compilation-theory | 8cc91ba006fd0e9eea392c195245f0ae21933486 | [
"MIT"
] | null | null | null | 02-parser/scanner.py | wgslr/agh-compilation-theory | 8cc91ba006fd0e9eea392c195245f0ae21933486 | [
"MIT"
] | null | null | null | 02-parser/scanner.py | wgslr/agh-compilation-theory | 8cc91ba006fd0e9eea392c195245f0ae21933486 | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
import sys
import ply.lex as lex
literals = "+-*/=()[]{}:',;<>"
keywords = ('IF', 'ELSE', 'FOR', 'WHILE', 'BREAK', 'CONTINUE',
'RETURN', 'EYE', 'ZEROS', 'ONES', 'PRINT')
tokens = ('DOTADD', 'DOTSUB', 'DOTMUL', 'DOTDIV',
'ADDASSIGN', 'SUBASSIGN', 'MULASSIGN', 'DIVASSIGN',... | 17.559524 | 69 | 0.520678 |
1a85657dbd4fb982c2a3c5c4783ba6db26385216 | 3,105 | py | Python | test/inputfile.py | Vikings1028/Envision | 291b09feba618a98e31b1c299f647109bbc41f86 | [
"BSD-3-Clause"
] | null | null | null | test/inputfile.py | Vikings1028/Envision | 291b09feba618a98e31b1c299f647109bbc41f86 | [
"BSD-3-Clause"
] | null | null | null | test/inputfile.py | Vikings1028/Envision | 291b09feba618a98e31b1c299f647109bbc41f86 | [
"BSD-3-Clause"
] | null | null | null | '''
Application : Envision
File name : inputfile.py
Authors : Jacob Summerville and Safwan Elmadani
Description : This file creates a test input file
'''
# Copyright (c) April 26, 2021 Jacob Summerville and Safwan Elmadani
# All rights reserved.
#
# The license below extends only to copyright in the software and... | 41.959459 | 75 | 0.749758 |
1a8571a1ca0f012a72e5db192840982cda35df6d | 3,836 | py | Python | boiler/collections/paginated_collection.py | projectshift/shift-boiler | 5f1d236b97fc814ba72897fa8bc76c7518bd1919 | [
"MIT"
] | 19 | 2016-08-06T20:06:21.000Z | 2020-10-22T08:31:49.000Z | boiler/collections/paginated_collection.py | projectshift/shift-boiler | 5f1d236b97fc814ba72897fa8bc76c7518bd1919 | [
"MIT"
] | 104 | 2016-07-31T19:45:00.000Z | 2021-09-15T08:13:36.000Z | boiler/collections/paginated_collection.py | projectshift/shift-boiler | 5f1d236b97fc814ba72897fa8bc76c7518bd1919 | [
"MIT"
] | 1 | 2017-12-30T09:07:38.000Z | 2017-12-30T09:07:38.000Z | from math import ceil
from boiler.collections.pagination import paginate
from pprint import pprint as pp
class PaginatedCollection:
"""
Paginated collection
Accepts an SQLAlchemy query object on initialization along with some
pagination settings and then allows you to iterate over itself in a
pagi... | 30.204724 | 78 | 0.593587 |
1a857c00e7b6c1e3cb730fb908ff0bd447f49635 | 20,372 | py | Python | vlbi_errors/gains.py | ipashchenko/ve | b866b6d9465310d4cd5bb4d2e92595d918b681d0 | [
"MIT"
] | null | null | null | vlbi_errors/gains.py | ipashchenko/ve | b866b6d9465310d4cd5bb4d2e92595d918b681d0 | [
"MIT"
] | 1 | 2019-10-16T20:36:19.000Z | 2020-03-24T19:28:01.000Z | vlbi_errors/gains.py | ipashchenko/ve | b866b6d9465310d4cd5bb4d2e92595d918b681d0 | [
"MIT"
] | null | null | null | #!/usr/bin python2
# -*- coding: utf-8 -*-
import copy
import numpy as np
try:
import pylab as plt
except ImportError:
pylab = None
from utils import baselines_2_ants, get_hdu
def open_gains(fname, snver=1):
"""
Helper function for instantiating and loading complex antenna gains from
FITS-files.
... | 32.5952 | 81 | 0.513204 |
1a85885f15b8a9ff8d9a608f05cfc1a6f93f64b6 | 2,713 | py | Python | tests/st/ops/ascend/cube/test_matmul_addn_transdata_001.py | tianjiashuo/akg | a9cbf642063fb1086a93e8bc6be6feb145689817 | [
"Apache-2.0"
] | 286 | 2020-06-23T06:40:44.000Z | 2022-03-30T01:27:49.000Z | tests/st/ops/ascend/cube/test_matmul_addn_transdata_001.py | tianjiashuo/akg | a9cbf642063fb1086a93e8bc6be6feb145689817 | [
"Apache-2.0"
] | 10 | 2020-07-31T03:26:59.000Z | 2021-12-27T15:00:54.000Z | tests/st/ops/ascend/cube/test_matmul_addn_transdata_001.py | tianjiashuo/akg | a9cbf642063fb1086a93e8bc6be6feb145689817 | [
"Apache-2.0"
] | 30 | 2020-07-17T01:04:14.000Z | 2021-12-27T14:05:19.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 38.211268 | 196 | 0.678216 |
1a85a78d7bcca2d91dba35f3f6509741e28acff9 | 485 | py | Python | 2020/paper_writer.py | ygrange/ADASSProceedings | 61502d4ba827845c65e98588d84c69d3596ae958 | [
"MIT"
] | 1 | 2019-09-18T08:10:25.000Z | 2019-09-18T08:10:25.000Z | 2020/paper_writer.py | ygrange/ADASSProceedings | 61502d4ba827845c65e98588d84c69d3596ae958 | [
"MIT"
] | 10 | 2019-09-29T13:55:38.000Z | 2021-12-27T16:23:49.000Z | 2020/paper_writer.py | ygrange/ADASSProceedings | 61502d4ba827845c65e98588d84c69d3596ae958 | [
"MIT"
] | 3 | 2020-10-05T19:10:22.000Z | 2021-12-25T09:51:07.000Z | #! /usr/bin/env python
#
# personalized templates for 2020 based off a papers.tab file
import sys
import adass2020 as adass
if __name__ == "__main__":
debug = True
a = adass.adass('.', debug)
(o1,o2,o3) = a.tab2list(sys.argv[1],True)
print(len(o1),len(o2),len(o3))
if len(sys.argv) ... | 23.095238 | 62 | 0.585567 |
1a85b0ac218e42ea7f5046d56bc1bc192da673a0 | 18,673 | py | Python | N2SNUserTools/_version.py | stuwilkins/N2SNUserTools | d690a1b4e18e9796c296ad37a09889542f58b200 | [
"BSD-3-Clause"
] | null | null | null | N2SNUserTools/_version.py | stuwilkins/N2SNUserTools | d690a1b4e18e9796c296ad37a09889542f58b200 | [
"BSD-3-Clause"
] | 5 | 2021-03-03T13:35:55.000Z | 2021-03-22T21:58:28.000Z | N2SNUserTools/_version.py | stuwilkins/N2SNUserTools | d690a1b4e18e9796c296ad37a09889542f58b200 | [
"BSD-3-Clause"
] | 1 | 2021-02-08T11:19:50.000Z | 2021-02-08T11:19:50.000Z |
# This file helps to compute a version number in source trees obtained from
# git-archive tarball (such as those provided by githubs download-from-tag
# feature). Distribution tarballs (built by setup.py sdist) and build
# directories (produced by setup.py build) will contain a much shorter file
# that just contains t... | 35.5 | 79 | 0.585712 |
1a85b23c7ca84590b7ba418672963d50b1bfdf0a | 6,561 | py | Python | ros/src/tl_detector/light_classification/tl_classifier.py | thegleb/CarND-Capstone | 951da38cbe62cd4e56d65f5cd68f8251da210c21 | [
"MIT"
] | 2 | 2019-11-10T11:27:33.000Z | 2019-11-26T01:49:01.000Z | ros/src/tl_detector/light_classification/tl_classifier.py | thegleb/CarND-Capstone | 951da38cbe62cd4e56d65f5cd68f8251da210c21 | [
"MIT"
] | null | null | null | ros/src/tl_detector/light_classification/tl_classifier.py | thegleb/CarND-Capstone | 951da38cbe62cd4e56d65f5cd68f8251da210c21 | [
"MIT"
] | 1 | 2019-10-28T08:12:29.000Z | 2019-10-28T08:12:29.000Z | import numpy as np
import tensorflow as tf
import cv2
from PIL import ImageDraw
from PIL import Image as PIL_Image
from styx_msgs.msg import TrafficLight
DEBUG = False
NN_GRAPH_PREFIX = './light_classification/'
MODEL_TO_SIM = {
'1': {'ros_label': TrafficLight.GREEN, 'bbox_color': 'green'},
'2': {'ros_label... | 37.067797 | 119 | 0.610882 |
1a85b401950fb84d76f010730998169d74006a35 | 5,458 | py | Python | python_modules/dagster/dagster/core/executor/child_process_executor.py | kstennettlull/dagster | dd6f57e170ff03bf145f1dd1417e0b2c3156b1d6 | [
"Apache-2.0"
] | null | null | null | python_modules/dagster/dagster/core/executor/child_process_executor.py | kstennettlull/dagster | dd6f57e170ff03bf145f1dd1417e0b2c3156b1d6 | [
"Apache-2.0"
] | null | null | null | python_modules/dagster/dagster/core/executor/child_process_executor.py | kstennettlull/dagster | dd6f57e170ff03bf145f1dd1417e0b2c3156b1d6 | [
"Apache-2.0"
] | null | null | null | """Facilities for running arbitrary commands in child processes."""
import os
import queue
import sys
from abc import ABC, abstractmethod
from typing import NamedTuple
from dagster import check
from dagster.core.errors import DagsterExecutionInterruptedError
from dagster.utils.error import SerializableErrorInfo, ser... | 32.488095 | 101 | 0.693111 |
1a85c6fef9cdad8da85e3b46046e3274989854bf | 1,800 | py | Python | image_reconstruction/reconstruction_utils/post_processing/envelope_detection.py | IPASC/standardised-image-reconstruction | 75d350a9f8da57413fabbd8dd5ed23fdfb35d4ed | [
"MIT"
] | 3 | 2021-09-07T10:44:48.000Z | 2021-12-15T10:51:39.000Z | image_reconstruction/reconstruction_utils/post_processing/envelope_detection.py | IPASC/standardised-image-reconstruction | 75d350a9f8da57413fabbd8dd5ed23fdfb35d4ed | [
"MIT"
] | 12 | 2021-11-14T23:01:28.000Z | 2022-03-29T19:08:13.000Z | image_reconstruction/reconstruction_utils/post_processing/envelope_detection.py | IPASC/standardised-image-reconstruction | 75d350a9f8da57413fabbd8dd5ed23fdfb35d4ed | [
"MIT"
] | null | null | null | """
SPDX-FileCopyrightText: 2021 International Photoacoustic Standardisation Consortium (IPASC)
SPDX-FileCopyrightText: 2021 Janek Gröhl
SPDX-FileCopyrightText: 2021 François Varray
SPDX-License-Identifier: MIT
"""
from scipy.signal import hilbert, hilbert2
import numpy as np
def hilbert_transform_1_d(signal, axis=-... | 21.95122 | 91 | 0.660556 |
1a85cab23b4b103a2853be88f46ffa490a3757c7 | 12,573 | py | Python | gym_pcgrl/envs/probs/ddave/engine.py | rohin-dasari/gym-pcgrl | 82718fc3d628e5bf11b3207ebffa57a79c90be4d | [
"MIT"
] | null | null | null | gym_pcgrl/envs/probs/ddave/engine.py | rohin-dasari/gym-pcgrl | 82718fc3d628e5bf11b3207ebffa57a79c90be4d | [
"MIT"
] | null | null | null | gym_pcgrl/envs/probs/ddave/engine.py | rohin-dasari/gym-pcgrl | 82718fc3d628e5bf11b3207ebffa57a79c90be4d | [
"MIT"
] | null | null | null | from queue import PriorityQueue
directions = [{"x":0, "y":0}, {"x":-1, "y":0}, {"x":1, "y":0}, {"x":0, "y":-1}]
class Node:
balance = 0.5
def __init__(self, state, parent, action):
self.state = state
self.parent = parent
self.action = action
self.depth = 0
if self.parent... | 35.317416 | 131 | 0.493836 |
1a85cfc32a21f893040316419a24d3ec481f6c13 | 7,013 | py | Python | fabric_cf/actor/core/time/actor_clock.py | fabric-testbed/ControlFramework | 95ab745e32f15c993bc7a017aa97a5a0f67f210f | [
"MIT"
] | null | null | null | fabric_cf/actor/core/time/actor_clock.py | fabric-testbed/ControlFramework | 95ab745e32f15c993bc7a017aa97a5a0f67f210f | [
"MIT"
] | 67 | 2020-12-21T15:39:49.000Z | 2022-02-27T17:55:00.000Z | fabric_cf/actor/core/time/actor_clock.py | fabric-testbed/ControlFramework | 95ab745e32f15c993bc7a017aa97a5a0f67f210f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# MIT License
#
# Copyright (c) 2020 FABRIC Testbed
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to ... | 36.910526 | 108 | 0.663197 |
1a85e2dc4bf8af61b004920068d57bf09f000ab4 | 1,625 | py | Python | py/run_inferrer.py | shilad/geo-provenance | 12781c6c8f875f6a85e8b8e71ce37d20fa5eeeb7 | [
"Apache-2.0"
] | 6 | 2015-03-30T02:09:03.000Z | 2019-08-03T23:19:58.000Z | py/run_inferrer.py | shilad/geo-provenance | 12781c6c8f875f6a85e8b8e71ce37d20fa5eeeb7 | [
"Apache-2.0"
] | 1 | 2015-06-24T13:46:19.000Z | 2015-06-24T13:46:19.000Z | py/run_inferrer.py | shilad/geo-provenance | 12781c6c8f875f6a85e8b8e71ce37d20fa5eeeb7 | [
"Apache-2.0"
] | 2 | 2016-04-17T08:55:09.000Z | 2022-02-16T20:16:57.000Z | #!/usr/bin/python
#
# Reads URLs from stdin and writes inferred countries to stdout.
# The result is a json-formatted dictionary of country-code -> probability pairs.
#
import sys
import time
import traceback
from gputils import *
from gpinfer import LogisticInferrer
def main(inferrer, input, output):
format =... | 29.017857 | 96 | 0.503385 |
1a85e50054765bdd14c3e8ef321f0b3c6926f27e | 5,839 | py | Python | fakolibri/content/utils/annotation.py | learningequality/channel2site | 0020c15f404c58e369bbe435950e1a38418313e8 | [
"MIT"
] | null | null | null | fakolibri/content/utils/annotation.py | learningequality/channel2site | 0020c15f404c58e369bbe435950e1a38418313e8 | [
"MIT"
] | null | null | null | fakolibri/content/utils/annotation.py | learningequality/channel2site | 0020c15f404c58e369bbe435950e1a38418313e8 | [
"MIT"
] | null | null | null | import logging as logger
import os
from django.conf import settings
from content.apps import ContentConfig
from content.models import ChannelMetadata, ContentNode, File, LocalFile
from le_utils.constants import content_kinds
from sqlalchemy import and_, exists, func, select
from .channels import get_channel_ids_for_c... | 37.915584 | 143 | 0.737798 |
1a85fead029ced85a5c04e8b189ddde822f7cbb8 | 10,642 | py | Python | eventsourcing/domain/model/events.py | alexanderlarin/eventsourcing | 6f2a4ded3c783ba3ee465243a48f66ecdee20f52 | [
"BSD-3-Clause"
] | null | null | null | eventsourcing/domain/model/events.py | alexanderlarin/eventsourcing | 6f2a4ded3c783ba3ee465243a48f66ecdee20f52 | [
"BSD-3-Clause"
] | null | null | null | eventsourcing/domain/model/events.py | alexanderlarin/eventsourcing | 6f2a4ded3c783ba3ee465243a48f66ecdee20f52 | [
"BSD-3-Clause"
] | null | null | null | import os
from uuid import uuid1
from eventsourcing.exceptions import EventHashError
from eventsourcing.utils.hashing import hash_object
from eventsourcing.utils.times import decimaltimestamp
from eventsourcing.utils.topic import get_topic
from eventsourcing.utils.transcoding import ObjectJSONEncoder
GENESIS_HASH = o... | 27.713542 | 88 | 0.645273 |
1a85fedc9eb4e1a955518619b359b4a410a09b8b | 12,671 | py | Python | nova/tests/api/openstack/compute/contrib/test_instance_actions.py | rossella/nova | 9b1180d5a09227604a470cb9d0790b57daf1b6d7 | [
"Apache-2.0"
] | null | null | null | nova/tests/api/openstack/compute/contrib/test_instance_actions.py | rossella/nova | 9b1180d5a09227604a470cb9d0790b57daf1b6d7 | [
"Apache-2.0"
] | null | null | null | nova/tests/api/openstack/compute/contrib/test_instance_actions.py | rossella/nova | 9b1180d5a09227604a470cb9d0790b57daf1b6d7 | [
"Apache-2.0"
] | 1 | 2020-07-24T06:47:54.000Z | 2020-07-24T06:47:54.000Z | # Copyright 2013 Rackspace Hosting
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | 43.693103 | 79 | 0.635546 |
1a866181a4c6ab150c1505184ff91b8622da67f7 | 2,612 | py | Python | examples/mlp/mlp.py | gebauerm/rapidFlow | 3aefcda3821a8891d40081460dd20d2876e3773d | [
"MIT"
] | 1 | 2022-01-03T14:51:02.000Z | 2022-01-03T14:51:02.000Z | examples/mlp/mlp.py | gebauerm/rapidFlow | 3aefcda3821a8891d40081460dd20d2876e3773d | [
"MIT"
] | 1 | 2022-02-04T13:22:18.000Z | 2022-02-04T16:17:56.000Z | examples/mlp/mlp.py | gebauerm/rapidFlow | 3aefcda3821a8891d40081460dd20d2876e3773d | [
"MIT"
] | null | null | null | import torch.nn as nn
import torch
from torch.optim import Adam
from rapidflow.nn_model import NNModel
class MLP(NNModel):
def __init__(self, input_size, hidden_layer_config, output_size, learning_rate, weight_decay):
"""
A simple Feed Forward Network with a Sigmoid Activation Function after the f... | 34.368421 | 100 | 0.633231 |
1a86d0dfe5f639b93cea4b37f425002821eeb10a | 1,618 | py | Python | SROMPy/target/RandomVector.py | datree-demo/SROMPy | 5a5c0d66e823a059568805a1718372c9e80e2943 | [
"Apache-2.0"
] | null | null | null | SROMPy/target/RandomVector.py | datree-demo/SROMPy | 5a5c0d66e823a059568805a1718372c9e80e2943 | [
"Apache-2.0"
] | null | null | null | SROMPy/target/RandomVector.py | datree-demo/SROMPy | 5a5c0d66e823a059568805a1718372c9e80e2943 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 United States Government as represented by the Administrator of
# the National Aeronautics and Space Administration. No copyright is claimed in
# the United States under Title 17, U.S. Code. All Other Rights Reserved.
# The Stochastic Reduced Order Models with Python (SROMPy) platform is licensed
# un... | 31.72549 | 94 | 0.748455 |
1a86d1cb0cf66b02a0ebc75833f69954e56c0382 | 2,066 | py | Python | leetcode_python/Breadth-First-Search/binary-tree-zigzag-level-order-traversal.py | yennanliu/CS_basics | 3c50c819897a572ff38179bfb0083a19b2325fde | [
"Unlicense"
] | 18 | 2019-08-01T07:45:02.000Z | 2022-03-31T18:05:44.000Z | leetcode_python/Breadth-First-Search/binary-tree-zigzag-level-order-traversal.py | yennanliu/CS_basics | 3c50c819897a572ff38179bfb0083a19b2325fde | [
"Unlicense"
] | null | null | null | leetcode_python/Breadth-First-Search/binary-tree-zigzag-level-order-traversal.py | yennanliu/CS_basics | 3c50c819897a572ff38179bfb0083a19b2325fde | [
"Unlicense"
] | 15 | 2019-12-29T08:46:20.000Z | 2022-03-08T14:14:05.000Z | # V0
class Solution(object):
def levelOrder(self, root):
"""
:type root: TreeNode
:rtype: List[List[int]]
"""
res = []
self.level(root, 0, res)
return [j if i%2 == 0 else j[::-1] for i, j in enumerate(res)]
def level(self, root, level, res):
if n... | 29.942029 | 70 | 0.53727 |
1a86df7962af9a933e986760f49cf93d09364761 | 531 | py | Python | python/q120/q120.py | MatthewTsan/Leetcode | b0705013eea8517ba7742730cd14ea8601b83c70 | [
"Apache-2.0"
] | null | null | null | python/q120/q120.py | MatthewTsan/Leetcode | b0705013eea8517ba7742730cd14ea8601b83c70 | [
"Apache-2.0"
] | null | null | null | python/q120/q120.py | MatthewTsan/Leetcode | b0705013eea8517ba7742730cd14ea8601b83c70 | [
"Apache-2.0"
] | null | null | null | from typing import List
class Solution:
def minimumTotal(self, triangle: List[List[int]]) -> int:
if not triangle:
return 0
dp = [0 for _ in triangle[-1]]
dp[0] = triangle[0][0]
print(dp)
for level in triangle[1:]:
dp[len(level) - 1] = dp[len(level)... | 24.136364 | 63 | 0.47081 |
1a86f60d207fceb9f8292dfef806dd16514d96ca | 2,499 | py | Python | nicos_mlz/mira/setups/analyzer.py | mlz-ictrl/nicos | a6de0bc194ba42e3dc04a033713b41b5499ba8e1 | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 12 | 2019-11-06T15:40:36.000Z | 2022-01-01T16:23:00.000Z | nicos_mlz/mira/setups/analyzer.py | ess-dmsc/nicos | 755d61d403ff7123f804c45fc80c7ff4d762993b | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 91 | 2020-08-18T09:20:26.000Z | 2022-02-01T11:07:14.000Z | nicos_mlz/mira/setups/analyzer.py | mlz-ictrl/nicos | a6de0bc194ba42e3dc04a033713b41b5499ba8e1 | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 6 | 2020-01-11T10:52:30.000Z | 2022-02-25T12:35:23.000Z | description = 'analyzer table'
group = 'lowlevel'
tango_base = 'tango://miractrl.mira.frm2:10000/mira/'
includes = ['sample']
devices = dict(
co_ath = device('nicos.devices.entangle.Sensor',
tangodevice = tango_base + 'detector/ath_enc',
lowlevel = True,
unit = 'deg',
),
mo_ath = ... | 30.47561 | 74 | 0.505002 |
1a8701334ea5436450b9ef103e38f668d2d93690 | 3,466 | py | Python | treestate.py | deshpandeyash/treesplittingsimulator | aa93dcac892cd580669e453353a88a7b9343b423 | [
"MIT"
] | 1 | 2020-02-20T15:00:14.000Z | 2020-02-20T15:00:14.000Z | treestate.py | deshpandeyash/treesplittingsimulator | aa93dcac892cd580669e453353a88a7b9343b423 | [
"MIT"
] | null | null | null | treestate.py | deshpandeyash/treesplittingsimulator | aa93dcac892cd580669e453353a88a7b9343b423 | [
"MIT"
] | null | null | null | import packetlist
class TreeState(object):
def __init__(self, sim):
self.first_slot = sim.slot_no
self.init_collided = len(sim.active_array)
self.total_successes = 0
self.last_slot = 0
self.result_array = []
# IF it was a simple tree, this would have been ... | 45.012987 | 120 | 0.596365 |
1a871cecfbfe54bc6eddc6c4b65d03b71c789be9 | 3,709 | py | Python | examples/critical-example/criticalexample/settings.py | lenarother/django-critical-css | 15c12ea02f7ea049e59efba4d963c35f41f26d78 | [
"MIT"
] | 2 | 2020-06-06T06:50:38.000Z | 2022-02-03T08:54:28.000Z | examples/critical-example/criticalexample/settings.py | lenarother/django-critical-css | 15c12ea02f7ea049e59efba4d963c35f41f26d78 | [
"MIT"
] | 5 | 2018-12-17T11:12:20.000Z | 2020-11-27T10:28:51.000Z | examples/critical-example/criticalexample/settings.py | lenarother/django-critical-css | 15c12ea02f7ea049e59efba4d963c35f41f26d78 | [
"MIT"
] | 1 | 2021-08-19T06:02:44.000Z | 2021-08-19T06:02:44.000Z | """
Django settings for criticalexample project.
Generated by 'django-admin startproject' using Django 2.1.4.
For more information on this file, see
https://docs.djangoproject.com/en/2.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.1/ref/settings/
"""
impo... | 26.492857 | 89 | 0.687517 |
1a8725530c0f85a9cc53aced0ab9fcd5a14429cc | 100 | py | Python | giantstar/template/__init__.py | DaoSen-v/gaintstar | 5ecae8652c9f71aaa78cc0fd181d431cb130cab1 | [
"MIT"
] | 1 | 2021-08-06T08:32:15.000Z | 2021-08-06T08:32:15.000Z | giantstar/template/__init__.py | DaoSen-v/gaintstar | 5ecae8652c9f71aaa78cc0fd181d431cb130cab1 | [
"MIT"
] | null | null | null | giantstar/template/__init__.py | DaoSen-v/gaintstar | 5ecae8652c9f71aaa78cc0fd181d431cb130cab1 | [
"MIT"
] | null | null | null | # _*_encoding=utf8_*_
# @Time : 2021/6/2 17:08
# @Author : xuyong
# @Email: yong1.xu@casstime.com | 16.666667 | 31 | 0.65 |
1a8733822191a0acf0b18bf62bd1a0b8a1da546c | 149 | py | Python | grouper/fe/handlers/service_accounts_view.py | lfaraone/grouper | 7df5eda8003a0b4a9ba7f0dcb044ae1e4710b171 | [
"Apache-2.0"
] | null | null | null | grouper/fe/handlers/service_accounts_view.py | lfaraone/grouper | 7df5eda8003a0b4a9ba7f0dcb044ae1e4710b171 | [
"Apache-2.0"
] | 1 | 2016-02-18T18:55:29.000Z | 2016-02-18T18:55:29.000Z | grouper/fe/handlers/service_accounts_view.py | lfaraone/grouper | 7df5eda8003a0b4a9ba7f0dcb044ae1e4710b171 | [
"Apache-2.0"
] | null | null | null | from grouper.fe.util import GrouperHandler
class ServiceAccountsView(GrouperHandler):
def get(self):
self.redirect("/users?service=1")
| 21.285714 | 42 | 0.738255 |
1a8734abf590218e46dfcae538429f74af0ceb87 | 4,674 | py | Python | flexget/plugins/modify/torrent.py | sillygreen89/Flexget | 60f24ab0dda7b94c87ba43451921c50c3cef391f | [
"MIT"
] | 1 | 2018-05-02T21:14:50.000Z | 2018-05-02T21:14:50.000Z | flexget/plugins/modify/torrent.py | sillygreen89/Flexget | 60f24ab0dda7b94c87ba43451921c50c3cef391f | [
"MIT"
] | null | null | null | flexget/plugins/modify/torrent.py | sillygreen89/Flexget | 60f24ab0dda7b94c87ba43451921c50c3cef391f | [
"MIT"
] | null | null | null | from __future__ import unicode_literals, division, absolute_import
from builtins import * # pylint: disable=unused-import, redefined-builtin
import logging
import os
from flexget import plugin
from flexget.event import event
from flexget.utils.bittorrent import Torrent, is_torrent_file
log = logging.getLogger('modi... | 39.948718 | 110 | 0.553273 |
1a873cb4e77fbe71f2e77e6bbc36b1e62390d8ca | 3,719 | py | Python | examples/dataflow-demo-cloud-docker.py | CCMMMA/dagonstar | 49dd9d61da342b1f9718fcf4040dac27afcbb06d | [
"Apache-2.0"
] | null | null | null | examples/dataflow-demo-cloud-docker.py | CCMMMA/dagonstar | 49dd9d61da342b1f9718fcf4040dac27afcbb06d | [
"Apache-2.0"
] | null | null | null | examples/dataflow-demo-cloud-docker.py | CCMMMA/dagonstar | 49dd9d61da342b1f9718fcf4040dac27afcbb06d | [
"Apache-2.0"
] | 1 | 2018-11-11T17:15:24.000Z | 2018-11-11T17:15:24.000Z |
import sys
import json
import os.path
import datetime
from libcloud.compute.types import Provider
import ConfigParser
from dagon import batch
from dagon import Workflow
from dagon.remote import CloudTask
from dagon.docker_task import DockerTask
from dagon.cloud.cloud_manager import KeyPair
from dagon.cloud.cloud_mana... | 46.4875 | 306 | 0.731917 |
1a87466112c53183afe13c99238f0502d41184da | 1,909 | py | Python | atom3d/datasets/lba/create_hdf5.py | bfabiandev/atom3d | b2499ff743be2e851c286cabf64696682abffa44 | [
"MIT"
] | null | null | null | atom3d/datasets/lba/create_hdf5.py | bfabiandev/atom3d | b2499ff743be2e851c286cabf64696682abffa44 | [
"MIT"
] | null | null | null | atom3d/datasets/lba/create_hdf5.py | bfabiandev/atom3d | b2499ff743be2e851c286cabf64696682abffa44 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
import argparse
import os
import pandas as pd
from rdkit.Chem import PandasTools
from tqdm import tqdm
import atom3d.util.formats as dt
import atom3d.util.file as fi
def convert_to_hdf5(input_dir, label_file, hdf_file):
cif_files = fi.find_files(input_dir, 'cif')
prot... | 30.790323 | 85 | 0.673651 |
1a876200cd2c30545306711668654411ca6df1ae | 3,509 | py | Python | tests/gpu_multi/basic/gpu_dma_test.py | thobauma/dace | 668e4c49e476437e1ea3b272e9dbefca2b92d2e7 | [
"BSD-3-Clause"
] | null | null | null | tests/gpu_multi/basic/gpu_dma_test.py | thobauma/dace | 668e4c49e476437e1ea3b272e9dbefca2b92d2e7 | [
"BSD-3-Clause"
] | null | null | null | tests/gpu_multi/basic/gpu_dma_test.py | thobauma/dace | 668e4c49e476437e1ea3b272e9dbefca2b92d2e7 | [
"BSD-3-Clause"
] | null | null | null | # Copyright 2019-2021 ETH Zurich and the DaCe authors. All rights reserved.
import dace
import numpy as np
import pytest
from dace.dtypes import StorageType
from dace.sdfg import nodes
from dace.data import Scalar
from dace.memlet import Memlet
from dace.transformation.interstate import GPUTransformSDFG
N = dace.symbo... | 30.780702 | 79 | 0.647193 |
1a87ba8c73afc800c58de6c26b739b284401819c | 6,694 | py | Python | modules/Transformer.py | zhangguobin/fast-neural-style | eefdcc3b6ba5e92bbad24cd20999c71dde4df072 | [
"MIT"
] | null | null | null | modules/Transformer.py | zhangguobin/fast-neural-style | eefdcc3b6ba5e92bbad24cd20999c71dde4df072 | [
"MIT"
] | null | null | null | modules/Transformer.py | zhangguobin/fast-neural-style | eefdcc3b6ba5e92bbad24cd20999c71dde4df072 | [
"MIT"
] | null | null | null | from tensorflow.keras import layers
import sys
sys.path.append('../')
from utils.reflect_pad2d import reflect_pad2d
from modules.InstanceNormalization import InstanceNormalization
from modules.ResnetIdentityBlock import ResnetIdentityBlock
import tensorflow as tf
# Implement the architecture used in jcjohnson/fast-... | 45.849315 | 117 | 0.57813 |
1a87c41dcf92a7777cc1351609fcbba14e572e7e | 1,485 | py | Python | examples/drug_gripnet/config.py | 19valentin99/pykale | 4bfc7d49b255d00dbcba39dd9aaf787a8ae0b4ad | [
"MIT"
] | 324 | 2020-11-05T19:07:11.000Z | 2022-03-16T21:31:39.000Z | examples/drug_gripnet/config.py | 19valentin99/pykale | 4bfc7d49b255d00dbcba39dd9aaf787a8ae0b4ad | [
"MIT"
] | 212 | 2020-10-31T15:18:59.000Z | 2022-03-25T14:13:09.000Z | examples/drug_gripnet/config.py | sz144/pykale | 1f5cce57a50f7772520a482e8135a391eb0517f5 | [
"MIT"
] | 52 | 2020-10-28T15:43:48.000Z | 2022-02-24T02:29:52.000Z | from yacs.config import CfgNode
# -----------------------------------------------------------------------------
# Config definition
# -----------------------------------------------------------------------------
C = CfgNode()
# -----------------------------------------------------------------------------
# Dataset
#... | 33 | 80 | 0.319865 |
1a87d4e970383f8616ed274eb9f238909b17310b | 2,131 | py | Python | lbrynet/schema/base.py | Leopere/lbry | af43b21ef6a5de5ce1fee21425bea6f8d6bf335f | [
"MIT"
] | null | null | null | lbrynet/schema/base.py | Leopere/lbry | af43b21ef6a5de5ce1fee21425bea6f8d6bf335f | [
"MIT"
] | null | null | null | lbrynet/schema/base.py | Leopere/lbry | af43b21ef6a5de5ce1fee21425bea6f8d6bf335f | [
"MIT"
] | null | null | null | from lbrynet.schema.schema import ADDRESS_CHECKSUM_LENGTH
from lbrynet.schema.hashing import double_sha256
from lbrynet.schema.error import InvalidAddress
alphabet = b'123456789ABCDEFGHJKLMNPQRSTUVWXYZabcdefghijkmnopqrstuvwxyz'
def scrub_input(v):
if isinstance(v, str) and not isinstance(v, bytes):
v = ... | 23.417582 | 87 | 0.671046 |
1a87e2ec2741949a968b5d7dcc741d6d3558f673 | 1,847 | py | Python | setup.py | rozum-robotics/pulse-api | 82afc905fc0ee451df70e5b371853aa84337a564 | [
"Apache-2.0"
] | 30 | 2020-01-22T11:36:58.000Z | 2022-03-21T10:59:54.000Z | setup.py | rozum-robotics/pulse-api | 82afc905fc0ee451df70e5b371853aa84337a564 | [
"Apache-2.0"
] | null | null | null | setup.py | rozum-robotics/pulse-api | 82afc905fc0ee451df70e5b371853aa84337a564 | [
"Apache-2.0"
] | 8 | 2020-01-22T11:37:13.000Z | 2021-11-10T12:37:41.000Z | import pathlib
from setuptools import setup, find_packages
here = pathlib.Path(__file__).parent
def read_version() -> str:
file_path = here / "version"
with open(file_path) as version_file:
return version_file.read().strip()
def development_status(version: str) -> str:
if "a" in version:
... | 27.984848 | 70 | 0.670818 |
1a87e73041d1c4e2ed18ff7cad8b9c6974127240 | 240 | py | Python | really_fast_tuning/to_c/pure_factorial.py | JamesRocker-Simply/fast_python_demo | 3bc738052f17daca3ea5d221b1742f4dee0439c7 | [
"MIT"
] | 1 | 2020-12-10T20:20:21.000Z | 2020-12-10T20:20:21.000Z | really_fast_tuning/to_c/pure_factorial.py | JamesRocker-Simply/fast_python_demo | 3bc738052f17daca3ea5d221b1742f4dee0439c7 | [
"MIT"
] | null | null | null | really_fast_tuning/to_c/pure_factorial.py | JamesRocker-Simply/fast_python_demo | 3bc738052f17daca3ea5d221b1742f4dee0439c7 | [
"MIT"
] | 1 | 2020-12-10T20:21:31.000Z | 2020-12-10T20:21:31.000Z | def test(x):
y = 1
for i in range(1, x+1):
y *= i
return y
# running %timeit %run really_fast_tuning/to_c/c_based_factorial.py shows this almost 2 and a half seconds slower
if __name__ == "__main__":
test(100000) | 21.818182 | 114 | 0.645833 |
1a87ef1f26375a9ae07bf48827e4947506ed60e3 | 37 | py | Python | exorad/cache/__init__.py | derikk/ExoRad2-public | 034406bfd8237670f0796f9c95ab2fa5d609bc95 | [
"BSD-3-Clause"
] | null | null | null | exorad/cache/__init__.py | derikk/ExoRad2-public | 034406bfd8237670f0796f9c95ab2fa5d609bc95 | [
"BSD-3-Clause"
] | null | null | null | exorad/cache/__init__.py | derikk/ExoRad2-public | 034406bfd8237670f0796f9c95ab2fa5d609bc95 | [
"BSD-3-Clause"
] | null | null | null | from .globalcache import GlobalCache
| 18.5 | 36 | 0.864865 |
1a87f9538ca820795c9de3a4e8c4c87f4cdaffba | 770 | py | Python | MachineLearning/clustering.py | monocilindro/qgis-earthengine-examples | 82aea8926d34ed3f4ad4a4a345ddbd225819d28f | [
"MIT"
] | 646 | 2019-12-03T06:09:03.000Z | 2022-03-28T03:37:08.000Z | MachineLearning/clustering.py | csaybar/qgis-earthengine-examples | ba8942683834d2847ff3246bdd1859b36e50fe44 | [
"MIT"
] | 10 | 2019-12-30T03:42:44.000Z | 2021-05-22T07:34:07.000Z | MachineLearning/clustering.py | csaybar/qgis-earthengine-examples | ba8942683834d2847ff3246bdd1859b36e50fe44 | [
"MIT"
] | 219 | 2019-12-06T02:20:53.000Z | 2022-03-30T15:14:27.000Z | import ee
from ee_plugin import Map
# Load a pre-computed Landsat composite for input.
input = ee.Image('LANDSAT/LE7_TOA_1YEAR/2001')
# Define a region in which to generate a sample of the input.
region = ee.Geometry.Rectangle(29.7, 30, 32.5, 31.7)
# Display the sample region.
Map.setCenter(31.5, 31.0, 8)
Map.addL... | 26.551724 | 61 | 0.725974 |
1a880fc8b54f3b052f54c412800fe845424e77c5 | 3,749 | py | Python | model/payment/user_subscription.py | bowlofstew/bii-server | 9abc558b1ba9722088e22a4937a224cfcc3c5f22 | [
"MIT"
] | 27 | 2015-04-15T09:40:26.000Z | 2020-04-29T06:24:06.000Z | model/payment/user_subscription.py | bowlofstew/bii-server | 9abc558b1ba9722088e22a4937a224cfcc3c5f22 | [
"MIT"
] | 2 | 2015-06-03T20:19:51.000Z | 2015-06-30T20:40:14.000Z | model/payment/user_subscription.py | bowlofstew/bii-server | 9abc558b1ba9722088e22a4937a224cfcc3c5f22 | [
"MIT"
] | 10 | 2015-08-06T08:17:28.000Z | 2020-09-29T17:02:57.000Z | from biicode.common.model.brl.brl_user import BRLUser
from biicode.common.utils.serializer import Serializer
from biicode.server.model.epoch.time_period import TimePeriod
# KEEP SYNC WITH STRIPE BACKEND PLANS, STRIPE CAN'T STORE PLAN PROPERTIES
# NAME, PRICE, NUM_USERS (private contributors), NUM_PRIVATE_BLOCKS (-1 U... | 43.593023 | 101 | 0.580155 |
1a88420021950340545034c29b6b993d8f22e5b0 | 12,078 | py | Python | sqlalchemy_dict/tests/test_base_model.py | meyt/sqlalchemy-dict | 52b6e2eca5684cc6fb813f0245ddcd6e4d56e116 | [
"MIT"
] | 9 | 2017-09-25T21:01:32.000Z | 2021-11-14T13:54:35.000Z | sqlalchemy_dict/tests/test_base_model.py | meyt/sqlalchemy-dict | 52b6e2eca5684cc6fb813f0245ddcd6e4d56e116 | [
"MIT"
] | 10 | 2017-09-26T10:01:49.000Z | 2020-03-12T19:21:54.000Z | sqlalchemy_dict/tests/test_base_model.py | meyt/sqlalchemy-dict | 52b6e2eca5684cc6fb813f0245ddcd6e4d56e116 | [
"MIT"
] | 1 | 2017-09-25T21:47:23.000Z | 2017-09-25T21:47:23.000Z | import json
import pytest
from sqlalchemy import (
UnicodeText,
Unicode,
DateTime,
Date,
Time,
Integer,
Float,
ForeignKey,
Boolean,
Enum,
TypeDecorator,
)
from sqlalchemy.ext.associationproxy import association_proxy
from sqlalchemy.ext.hybrid import hybrid_property
from sq... | 29.602941 | 78 | 0.669978 |
1a8852c78943223167ca86893a8dc7da2b85bc24 | 20,516 | py | Python | eva_cttv_pipeline/evidence_string_generation/clinvar_to_evidence_strings.py | afoix/eva-opentargets | 8a6aab558db0768b035c55b76a21f37023154468 | [
"Apache-2.0"
] | null | null | null | eva_cttv_pipeline/evidence_string_generation/clinvar_to_evidence_strings.py | afoix/eva-opentargets | 8a6aab558db0768b035c55b76a21f37023154468 | [
"Apache-2.0"
] | null | null | null | eva_cttv_pipeline/evidence_string_generation/clinvar_to_evidence_strings.py | afoix/eva-opentargets | 8a6aab558db0768b035c55b76a21f37023154468 | [
"Apache-2.0"
] | null | null | null | import logging
import itertools
import json
import re
import sys
import os
from collections import defaultdict, Counter
import jsonschema
from eva_cttv_pipeline import clinvar_xml_utils
from eva_cttv_pipeline.evidence_string_generation import consequence_type as CT
logger = logging.getLogger(__package__)
# A regula... | 53.427083 | 120 | 0.717099 |
1a8862c76124e726e6f62c6d74aa41f53cf289da | 1,936 | py | Python | setup.py | kim-lab/jobsubmitter | 33b90ddb83c440d10b6f5cd3265a33a7b24032a5 | [
"MIT"
] | 3 | 2016-08-22T18:04:04.000Z | 2017-12-18T07:40:00.000Z | setup.py | kim-lab/jobsubmitter | 33b90ddb83c440d10b6f5cd3265a33a7b24032a5 | [
"MIT"
] | 1 | 2016-07-29T19:06:40.000Z | 2016-07-29T19:06:40.000Z | setup.py | kim-lab/jobsubmitter | 33b90ddb83c440d10b6f5cd3265a33a7b24032a5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""The setup script."""
import os.path as op
import warnings
from setuptools import find_packages, setup
def _read_md_as_rst(file):
"""Read Markdown file and convert it to ReStructuredText."""
from pypandoc import convert_file
return convert_file(file, 'rst', format='md')
def _rea... | 28.057971 | 92 | 0.664773 |
1a88b140bd924d2c13ab61f8e103dc834db8a744 | 1,783 | py | Python | pyutils/core/string_ops.py | Nishant173/pyutils | f9a369b227b3f87d44cafa2a00696462cdc0cc37 | [
"MIT"
] | null | null | null | pyutils/core/string_ops.py | Nishant173/pyutils | f9a369b227b3f87d44cafa2a00696462cdc0cc37 | [
"MIT"
] | null | null | null | pyutils/core/string_ops.py | Nishant173/pyutils | f9a369b227b3f87d44cafa2a00696462cdc0cc37 | [
"MIT"
] | null | null | null | from typing import List
def __raise_error_if_num_chars_is_negative(num_chars: int) -> None:
if num_chars < 0:
raise ValueError(f"Expected `num_chars` to be >= 0, but got {num_chars}")
return None
def get_first_n_characters(text: str, num_chars: int) -> str:
__raise_error_if_num_chars_is_negative... | 37.145833 | 110 | 0.718452 |
1a88bceaf91a036cdb8c5f22a6f10d5c45df74aa | 5,319 | py | Python | sunpy/coordinates/frameattributes.py | Naman9639/sunpy | 24c0cfbd9b03d7f9554bc86036fac2b78a5fcc56 | [
"BSD-2-Clause"
] | null | null | null | sunpy/coordinates/frameattributes.py | Naman9639/sunpy | 24c0cfbd9b03d7f9554bc86036fac2b78a5fcc56 | [
"BSD-2-Clause"
] | null | null | null | sunpy/coordinates/frameattributes.py | Naman9639/sunpy | 24c0cfbd9b03d7f9554bc86036fac2b78a5fcc56 | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division
import datetime
import warnings
import astropy.units as u
from astropy.time import Time
from astropy.coordinates import TimeAttribute, CoordinateAttribute, get_body_barycentric, ICRS
from sunpy.extern import six
from sunpy.time import parse_tim... | 34.993421 | 99 | 0.63809 |
1a88c99f1dde5659377f23bc17b9a4251d2e9206 | 64,122 | py | Python | rest/views.py | istarnes/restit | 24d2805ab68696cab7718cc1164b7f716582ffb7 | [
"0BSD"
] | null | null | null | rest/views.py | istarnes/restit | 24d2805ab68696cab7718cc1164b7f716582ffb7 | [
"0BSD"
] | null | null | null | rest/views.py | istarnes/restit | 24d2805ab68696cab7718cc1164b7f716582ffb7 | [
"0BSD"
] | null | null | null | # from .models import *
from rest.crypto import *
# from rest.middleware import get_request
from rest import helpers
from rest.uberdict import UberDict
from django.conf import settings
from version import VERSION
from django.db import models
from django.http import HttpResponse, StreamingHttpResponse, Http404
from dja... | 36.557583 | 430 | 0.552806 |
1a89117ff9b9c418720b6274d9efa3608d333995 | 2,256 | py | Python | miura/script.py | toumorokoshi/miura | f23e270a9507e5946798b1e897220c9fb1b8d5fa | [
"MIT"
] | 1 | 2017-05-18T11:34:35.000Z | 2017-05-18T11:34:35.000Z | miura/script.py | toumorokoshi/miura | f23e270a9507e5946798b1e897220c9fb1b8d5fa | [
"MIT"
] | null | null | null | miura/script.py | toumorokoshi/miura | f23e270a9507e5946798b1e897220c9fb1b8d5fa | [
"MIT"
] | null | null | null | import os
from miura import runner
from .utils import get_method_from_module, format_path_to_module
from .data import load_data_from_path, filter_data
from .template import TemplateSet
from .exceptions import MiuraException
import logging
DEFAULT_DATA_DIRECTORY = os.path.join(os.curdir, 'data')
DEFAULT_TEMPLATE_DIRE... | 31.333333 | 83 | 0.648493 |
1a893e82cb2dedbf93109fe510d9cd271fcbd8ce | 2,209 | py | Python | packages/simcore-sdk/src/simcore_sdk/node_data/data_manager.py | oetiker/osparc-simcore | 00918bf8f000840cc70cc49458780a55858d52ea | [
"MIT"
] | null | null | null | packages/simcore-sdk/src/simcore_sdk/node_data/data_manager.py | oetiker/osparc-simcore | 00918bf8f000840cc70cc49458780a55858d52ea | [
"MIT"
] | 2 | 2018-05-13T09:10:57.000Z | 2019-03-06T08:10:40.000Z | packages/simcore-sdk/src/simcore_sdk/node_data/data_manager.py | oetiker/osparc-simcore | 00918bf8f000840cc70cc49458780a55858d52ea | [
"MIT"
] | null | null | null | import logging
from pathlib import Path
from shutil import make_archive, unpack_archive
from tempfile import TemporaryDirectory
from simcore_sdk.node_ports import config, filemanager
log = logging.getLogger(__name__)
def _create_s3_object(file_path: Path) -> str:
return "{}/{}/{}".format(config.PROJECT... | 44.18 | 124 | 0.698506 |
1a8970f5af9ff02fbf61cfafa14b5444a411c03a | 1,062 | py | Python | musicapp/authentication.py | daniel-afana/MusicDB | c2c897d540e6e514403997510e91044f518c0328 | [
"MIT"
] | null | null | null | musicapp/authentication.py | daniel-afana/MusicDB | c2c897d540e6e514403997510e91044f518c0328 | [
"MIT"
] | null | null | null | musicapp/authentication.py | daniel-afana/MusicDB | c2c897d540e6e514403997510e91044f518c0328 | [
"MIT"
] | null | null | null | from datetime import timedelta
from datetime import datetime
import pytz
# from django.utils import timezone
from rest_framework.authentication import TokenAuthentication
from rest_framework import exceptions
from django.utils.timezone import utc
from rest_framework.exceptions import AuthenticationFailed
import... | 33.1875 | 82 | 0.698682 |
1a8989d7c2f617525c301f30fd899a01362310bf | 5,169 | py | Python | tensorflow/compiler/tests/cholesky_op_test.py | tianyapiaozi/tensorflow | fb3ce0467766a8e91f1da0ad7ada7c24fde7a73a | [
"Apache-2.0"
] | 71 | 2017-05-25T16:02:15.000Z | 2021-06-09T16:08:08.000Z | tensorflow/compiler/tests/cholesky_op_test.py | tianyapiaozi/tensorflow | fb3ce0467766a8e91f1da0ad7ada7c24fde7a73a | [
"Apache-2.0"
] | 133 | 2017-04-26T16:49:49.000Z | 2019-10-15T11:39:26.000Z | tensorflow/compiler/tests/cholesky_op_test.py | tianyapiaozi/tensorflow | fb3ce0467766a8e91f1da0ad7ada7c24fde7a73a | [
"Apache-2.0"
] | 31 | 2018-09-11T02:17:17.000Z | 2021-12-15T10:33:35.000Z | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 38.574627 | 80 | 0.66628 |
1a8a460d70cde38f78dc011b97a2b0b1e099a3c6 | 12,431 | py | Python | modules/rapids_modules/transform/indicatorNode.py | goosen78/gQuant | cc0bff4ac524ccfbe8097acd647a8b3fad5fe578 | [
"Apache-2.0"
] | null | null | null | modules/rapids_modules/transform/indicatorNode.py | goosen78/gQuant | cc0bff4ac524ccfbe8097acd647a8b3fad5fe578 | [
"Apache-2.0"
] | null | null | null | modules/rapids_modules/transform/indicatorNode.py | goosen78/gQuant | cc0bff4ac524ccfbe8097acd647a8b3fad5fe578 | [
"Apache-2.0"
] | null | null | null | from .. import cuindicator as ci
from .._port_type_node import _PortTypesMixin
from gquant.dataframe_flow.portsSpecSchema import ConfSchema
from gquant.dataframe_flow import Node
import copy
IN_DATA = {
"port_exponential_moving_average": {
"function": "port_exponential_moving_average",
"columns": [... | 38.725857 | 78 | 0.444292 |
1a8ab6dd46a8de25d7097434e3784de5ae5581ea | 1,384 | py | Python | tokenapi/views.py | jpulgarin/django-tokenapi | 8456c77638d0ceb2c03ef1677fd9051ab285ad08 | [
"Apache-2.0"
] | 125 | 2015-01-04T21:54:38.000Z | 2021-04-07T18:16:46.000Z | tokenapi/views.py | jpulgarin/django-tokenapi | 8456c77638d0ceb2c03ef1677fd9051ab285ad08 | [
"Apache-2.0"
] | 23 | 2015-01-15T20:40:38.000Z | 2020-04-11T02:09:20.000Z | tokenapi/views.py | jpulgarin/django-tokenapi | 8456c77638d0ceb2c03ef1677fd9051ab285ad08 | [
"Apache-2.0"
] | 49 | 2015-03-02T14:49:16.000Z | 2021-07-31T19:15:46.000Z | from django.contrib.auth import authenticate
from django.views.decorators.csrf import csrf_exempt
from tokenapi.tokens import token_generator
from tokenapi.http import JsonResponse, JsonResponseUnauthorized, JsonResponseForbidden, JsonResponseNotAllowed
@csrf_exempt
def token_new(request):
if request.method == '... | 35.487179 | 111 | 0.644509 |
1a8acc40dd93a6b5b0c36f01a3d3c1540922e63b | 2,332 | py | Python | dopamine/thesis/scratch/test_off_mem.py | xqz-u/dopamine | d562750a58bcf681a6f8b590f4e4dfb263654b5e | [
"Apache-2.0"
] | null | null | null | dopamine/thesis/scratch/test_off_mem.py | xqz-u/dopamine | d562750a58bcf681a6f8b590f4e4dfb263654b5e | [
"Apache-2.0"
] | null | null | null | dopamine/thesis/scratch/test_off_mem.py | xqz-u/dopamine | d562750a58bcf681a6f8b590f4e4dfb263654b5e | [
"Apache-2.0"
] | null | null | null | import logging
import os
from typing import List
import optax
from dopamine.jax import losses
from thesis import config
from thesis.agents import DQVMaxAgent
from thesis.memory import offline_memory
from thesis.reporter import reporter
from thesis.runner import FixedBatchRunner, runner
mlp_adam = lambda name: {
n... | 29.897436 | 102 | 0.632075 |
1a8afeaf27b6ef395d0606ccd489feef7b7843ee | 799 | py | Python | exatrkx/__init__.py | sbconlon/exatrkx-iml2020 | 5101a3bae5a15e8e0557837a8d0b9fd9e122a026 | [
"Apache-2.0"
] | 6 | 2020-10-27T21:42:27.000Z | 2021-04-18T02:06:30.000Z | exatrkx/__init__.py | sbconlon/exatrkx-iml2020 | 5101a3bae5a15e8e0557837a8d0b9fd9e122a026 | [
"Apache-2.0"
] | null | null | null | exatrkx/__init__.py | sbconlon/exatrkx-iml2020 | 5101a3bae5a15e8e0557837a8d0b9fd9e122a026 | [
"Apache-2.0"
] | 6 | 2020-11-04T23:45:10.000Z | 2021-03-26T09:06:00.000Z | from exatrkx.src.processing.feature_construction import FeatureStore
from exatrkx.src.embedding.layerless_embedding import LayerlessEmbedding
from exatrkx.src.embedding.layerless_embedding import EmbeddingInferenceCallback
from exatrkx.src.filter.vanilla_filter import VanillaFilter
from exatrkx.src.filter.vanilla_fil... | 42.052632 | 80 | 0.878598 |
1a8b243cfbb87828b279e776a01925794f3279eb | 2,870 | py | Python | tests/unit/models/reddit/test_emoji.py | Lordshinjo/asyncpraw | d94d89a992d9b5b300439ea6884a9df1d95511e2 | [
"BSD-2-Clause"
] | 72 | 2020-07-14T02:02:21.000Z | 2022-03-15T13:10:02.000Z | tests/unit/models/reddit/test_emoji.py | Lordshinjo/asyncpraw | d94d89a992d9b5b300439ea6884a9df1d95511e2 | [
"BSD-2-Clause"
] | 68 | 2020-07-16T05:29:43.000Z | 2022-03-14T12:04:56.000Z | tests/unit/models/reddit/test_emoji.py | Lordshinjo/asyncpraw | d94d89a992d9b5b300439ea6884a9df1d95511e2 | [
"BSD-2-Clause"
] | 19 | 2020-07-22T15:34:30.000Z | 2022-03-27T20:28:46.000Z | import pytest
from asyncpraw.models import Emoji, Subreddit
from asyncpraw.models.reddit.emoji import SubredditEmoji
from ... import UnitTest
class TestEmoji(UnitTest):
def test_equality(self):
emoji1 = Emoji(self.reddit, subreddit=Subreddit(self.reddit, "a"), name="x")
emoji2 = Emoji(self.reddi... | 42.205882 | 84 | 0.636934 |
1a8b2a6fbbd23dbbde04ea0bf51d5a5ada6141d6 | 5,918 | py | Python | monai/data/synthetic.py | albarqounilab/MONAI | bb0b307d68021a243011a58fd82a1d275f00a51a | [
"Apache-2.0"
] | 1 | 2021-07-13T00:34:41.000Z | 2021-07-13T00:34:41.000Z | monai/data/synthetic.py | albarqounilab/MONAI | bb0b307d68021a243011a58fd82a1d275f00a51a | [
"Apache-2.0"
] | null | null | null | monai/data/synthetic.py | albarqounilab/MONAI | bb0b307d68021a243011a58fd82a1d275f00a51a | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 - 2021 MONAI Consortium
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in wri... | 41.676056 | 123 | 0.656303 |
1a8b77e0a904fa7e5d5a2dce9902a414f68abf9c | 99,351 | py | Python | catboost/pytest/cuda_tests/test_gpu.py | chriwill/catboost | ad983758c93f4067547c6bca695454c8a2f21042 | [
"Apache-2.0"
] | null | null | null | catboost/pytest/cuda_tests/test_gpu.py | chriwill/catboost | ad983758c93f4067547c6bca695454c8a2f21042 | [
"Apache-2.0"
] | null | null | null | catboost/pytest/cuda_tests/test_gpu.py | chriwill/catboost | ad983758c93f4067547c6bca695454c8a2f21042 | [
"Apache-2.0"
] | null | null | null | import catboost
import filecmp
import json
import numpy as np
import os
import pytest
import re
import yatest.common
from catboost_pytest_lib import (
append_params_to_cmdline,
apply_catboost,
compare_evals_with_precision,
compare_metrics_with_diff,
data_file,
execute_catboost_fit,
format_c... | 36.864935 | 169 | 0.649465 |
1a8b7da1dd72ccef48b977d16d40e8599287bdd4 | 6,084 | py | Python | influxdb_client/client/query_api.py | timbeccue/influxdb-client-python | ff136c7990527a87dcf5f8ff39f6f686ce218c98 | [
"MIT"
] | null | null | null | influxdb_client/client/query_api.py | timbeccue/influxdb-client-python | ff136c7990527a87dcf5f8ff39f6f686ce218c98 | [
"MIT"
] | null | null | null | influxdb_client/client/query_api.py | timbeccue/influxdb-client-python | ff136c7990527a87dcf5f8ff39f6f686ce218c98 | [
"MIT"
] | null | null | null | import codecs
import csv
from typing import List, Generator, Any
from influxdb_client import Dialect
from influxdb_client import Query, QueryService
from influxdb_client.client.flux_csv_parser import FluxCsvParser, FluxSerializationMode
from influxdb_client.client.flux_table import FluxTable, FluxRecord
class QueryA... | 41.387755 | 116 | 0.657627 |
1a8b8cead2dece2c22eaf5dce4d69c27bc082c6e | 2,498 | py | Python | publichealth/home/migrations/0010_auto_20170410_2307.py | pcoder/public-health-ch | cebc4849653560c54238b67814074353ff7c01f3 | [
"MIT"
] | 2 | 2020-10-29T16:27:21.000Z | 2021-06-07T12:47:46.000Z | publichealth/home/migrations/0010_auto_20170410_2307.py | pcoder/public-health-ch | cebc4849653560c54238b67814074353ff7c01f3 | [
"MIT"
] | 11 | 2017-05-09T10:50:28.000Z | 2021-12-15T17:01:23.000Z | publichealth/home/migrations/0010_auto_20170410_2307.py | pcoder/public-health-ch | cebc4849653560c54238b67814074353ff7c01f3 | [
"MIT"
] | 4 | 2017-04-24T13:06:55.000Z | 2021-06-04T02:18:32.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.10.6 on 2017-04-10 21:07
from __future__ import unicode_literals
from django.db import migrations, models
import wagtail.core.blocks
import wagtail.core.fields
import wagtail.images.blocks
class Migration(migrations.Migration):
dependencies = [
('home', '0... | 42.338983 | 381 | 0.628903 |
1a8b97d249f94d9e25936808934cea1a5c26cd22 | 35,082 | py | Python | PTMCMCSampler/PTMCMCSampler.py | rgreen1995/PTMCMCSampler | 3260a48bf34f78511381cf0c8aeaa8ec2ce81f10 | [
"MIT"
] | 1 | 2019-07-22T09:19:03.000Z | 2019-07-22T09:19:03.000Z | PTMCMCSampler/PTMCMCSampler.py | rgreen1995/PTMCMCSampler | 3260a48bf34f78511381cf0c8aeaa8ec2ce81f10 | [
"MIT"
] | 36 | 2019-07-04T14:31:37.000Z | 2019-07-30T09:29:32.000Z | PTMCMCSampler/PTMCMCSampler.py | rgreen1995/PTMCMCSampler | 3260a48bf34f78511381cf0c8aeaa8ec2ce81f10 | [
"MIT"
] | 2 | 2019-07-04T12:43:12.000Z | 2019-07-23T08:48:35.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import division, print_function, absolute_import
import numpy as np
import scipy.stats as ss
import os
import sys
import time
from .nutsjump import NUTSJump, HMCJump, MALAJump
from . import proposals as prop
from .result import Result
import tqdm
from tqdm... | 33.700288 | 92 | 0.547973 |
1a8bbffcba9cf3a525d46bf78c8da916ddd9dbb4 | 1,767 | py | Python | model/classification/vgg.py | hotcouscous1/TensorBricks | 94dd90dce43a455d9abd7ccf19e1e7f361da7824 | [
"BSD-3-Clause"
] | null | null | null | model/classification/vgg.py | hotcouscous1/TensorBricks | 94dd90dce43a455d9abd7ccf19e1e7f361da7824 | [
"BSD-3-Clause"
] | null | null | null | model/classification/vgg.py | hotcouscous1/TensorBricks | 94dd90dce43a455d9abd7ccf19e1e7f361da7824 | [
"BSD-3-Clause"
] | null | null | null | from backbone.vgg import *
class VGG(nn.Module):
"""
__version__ = 1.0
__date__ = Mar 7, 2022
paper : https://arxiv.org/abs/1409.1556
checkpoints : https://github.com/pytorch/vision/blob/main/torchvision/models/vgg.py
**kwargs -> num_blocks: list, batch_norm: bool, Act: nn.Module
"""
... | 30.465517 | 103 | 0.485003 |
1a8bc0d0e4a02175e6972f36a56b47bf7afe5c8c | 2,530 | py | Python | python/app/plugins/http/Intellian/CVE_2020_7980.py | taomujian/linbing | fe772a58f41e3b046b51a866bdb7e4655abaf51a | [
"MIT"
] | 351 | 2020-02-26T05:23:26.000Z | 2022-03-26T12:39:19.000Z | python/app/plugins/http/Intellian/CVE_2020_7980.py | taomujian/linbing | fe772a58f41e3b046b51a866bdb7e4655abaf51a | [
"MIT"
] | 15 | 2020-03-26T07:31:49.000Z | 2022-03-09T02:12:17.000Z | python/app/plugins/http/Intellian/CVE_2020_7980.py | taomujian/linbing | fe772a58f41e3b046b51a866bdb7e4655abaf51a | [
"MIT"
] | 99 | 2020-02-28T07:30:46.000Z | 2022-03-16T16:41:09.000Z | #!/usr/bin/env python3
import time
import calendar
from app.lib.utils.request import request
from app.lib.utils.common import get_capta, get_useragent
class CVE_2020_7980_BaseVerify:
def __init__(self, url):
self.info = {
'name': 'CVE-2020-7980漏洞',
'description': 'CVE-2020-7980漏洞可执... | 29.418605 | 196 | 0.484585 |
1a8bd4466325eb1a8ec625c6b8e8f8d751727f77 | 8,330 | py | Python | tests/e2e/scale/test_pv_scale_ocs_create_delete_pvcs.py | nbalacha/ocs-ci | 9c5a5474d62777e868b80894d6b0f3567a7b605d | [
"MIT"
] | null | null | null | tests/e2e/scale/test_pv_scale_ocs_create_delete_pvcs.py | nbalacha/ocs-ci | 9c5a5474d62777e868b80894d6b0f3567a7b605d | [
"MIT"
] | null | null | null | tests/e2e/scale/test_pv_scale_ocs_create_delete_pvcs.py | nbalacha/ocs-ci | 9c5a5474d62777e868b80894d6b0f3567a7b605d | [
"MIT"
] | null | null | null | """
PV Create/Delete & Memory Leak Test: Test the PVC limit with 3 worker nodes
with & without any IO create and delete the PVCs and check for memory leak
TO DO: This Test needs to be executed in Scaled setup,
Adding node scale is yet to be supported.
"""
import logging
import pytest
import random
import time
import th... | 37.022222 | 97 | 0.603962 |
1a8bdbc566ab98c8cecece54a78ac9dbe3b6a943 | 1,578 | py | Python | tests/test_optional_relationship.py | cinaljess/goatools | 8cd603df88fcb49da970e37c445cdb1bdd17ee01 | [
"BSD-2-Clause"
] | 1 | 2020-03-12T13:53:11.000Z | 2020-03-12T13:53:11.000Z | tests/test_optional_relationship.py | cinaljess/goatools | 8cd603df88fcb49da970e37c445cdb1bdd17ee01 | [
"BSD-2-Clause"
] | null | null | null | tests/test_optional_relationship.py | cinaljess/goatools | 8cd603df88fcb49da970e37c445cdb1bdd17ee01 | [
"BSD-2-Clause"
] | 1 | 2020-03-12T14:38:05.000Z | 2020-03-12T14:38:05.000Z | #!/usr/bin/env python
"""Test the loading of all optional GO term attributes.
Maximum number of fields on a GO term:
required:
1 name
1 namespace
10 is_a
16 alt_id
optional scalar:
1 def
1 comment
optional set:
12 subset goslim_mouse
optional special:
3 relat... | 24.65625 | 90 | 0.692015 |
1a8bfbce5abd97c03aeb2aedba3538756c106d4a | 10,265 | py | Python | misc/math-scripts/Polygonzug.py | cfsengineering/tigl | abfbb57b82dc6beac7cde212a4cd5e0aed866db8 | [
"Apache-2.0"
] | 171 | 2015-04-13T11:24:34.000Z | 2022-03-26T00:56:38.000Z | misc/math-scripts/Polygonzug.py | cfsengineering/tigl | abfbb57b82dc6beac7cde212a4cd5e0aed866db8 | [
"Apache-2.0"
] | 620 | 2015-01-20T08:34:36.000Z | 2022-03-30T11:05:33.000Z | misc/math-scripts/Polygonzug.py | cfsengineering/tigl | abfbb57b82dc6beac7cde212a4cd5e0aed866db8 | [
"Apache-2.0"
] | 56 | 2015-02-09T13:33:56.000Z | 2022-03-19T04:52:51.000Z | #import matplotlib as mpl
#from mpl_toolkits.mplot3d import Axes3D
from math import atan
from numpy import array, linalg, dot, arccos, cos, sin, linspace, pi, size, arange, zeros,cumsum, diff, sqrt
def cart2pol(x, y):
r = sqrt(x*x + y*y)
if x == 0 and y >= 0:
phi = pi/2
elif x == 0 and y < 0:
... | 31.780186 | 129 | 0.484851 |
1a8c0dd70cbedc6e695c244f387f61a9699f4d24 | 802 | py | Python | alipay/aop/api/response/AlipaySecurityProdVoiceQuestionQueryResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/response/AlipaySecurityProdVoiceQuestionQueryResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/response/AlipaySecurityProdVoiceQuestionQueryResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
class AlipaySecurityProdVoiceQuestionQueryResponse(AlipayResponse):
def __init__(self):
super(AlipaySecurityProdVoiceQuestionQueryResponse, self).__init__()
self._question_... | 30.846154 | 117 | 0.745636 |
1a8c2bbc3912c24f7f69e58a5186f87c2e38fe62 | 4,512 | py | Python | var/spack/repos/builtin/packages/brayns/package.py | lguyot/spack | e910c227a7bac3adf2c18fc86cf994811b7d14f7 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 2 | 2020-10-15T01:08:42.000Z | 2021-10-18T01:28:18.000Z | var/spack/repos/builtin/packages/brayns/package.py | lguyot/spack | e910c227a7bac3adf2c18fc86cf994811b7d14f7 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | null | null | null | var/spack/repos/builtin/packages/brayns/package.py | lguyot/spack | e910c227a7bac3adf2c18fc86cf994811b7d14f7 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | null | null | null | # Copyright 2013-2018 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 Brayns(CMakePackage):
"""Visualizer for large-scale and interactive ray-tracing of neurons... | 42.168224 | 78 | 0.610816 |
1a8c4519118f69ce51ca9a5eb95a9d706c7766cc | 8,220 | py | Python | tensorflow/compiler/tests/gather_test.py | tianyapiaozi/tensorflow | fb3ce0467766a8e91f1da0ad7ada7c24fde7a73a | [
"Apache-2.0"
] | 71 | 2017-05-25T16:02:15.000Z | 2021-06-09T16:08:08.000Z | tensorflow/compiler/tests/gather_test.py | tianyapiaozi/tensorflow | fb3ce0467766a8e91f1da0ad7ada7c24fde7a73a | [
"Apache-2.0"
] | 133 | 2017-04-26T16:49:49.000Z | 2019-10-15T11:39:26.000Z | tensorflow/compiler/tests/gather_test.py | tianyapiaozi/tensorflow | fb3ce0467766a8e91f1da0ad7ada7c24fde7a73a | [
"Apache-2.0"
] | 31 | 2018-09-11T02:17:17.000Z | 2021-12-15T10:33:35.000Z | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 40.294118 | 80 | 0.666302 |
1a8c5133e4014bb3a97779f430853612089c9da0 | 4,599 | py | Python | experiments/ashvin/icml2020/hand/sparse2/hammer_video1.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | experiments/ashvin/icml2020/hand/sparse2/hammer_video1.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | experiments/ashvin/icml2020/hand/sparse2/hammer_video1.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | """
AWR + SAC from demo experiment
"""
from rlkit.demos.source.dict_to_mdp_path_loader import DictToMDPPathLoader
from rlkit.launchers.experiments.awac.awac_rl import experiment, process_args
import rlkit.misc.hyperparameter as hyp
from rlkit.launchers.arglauncher import run_variants
from rlkit.torch.sac.policies im... | 30.256579 | 77 | 0.564471 |
1a8c61c92b505e7f6227e8146c99b815f07341c0 | 2,904 | py | Python | salt/utils/jinja.py | gotcha/salt | 7b84c704777d3d2062911895dc3fdf93d40e9848 | [
"Apache-2.0"
] | 2 | 2019-03-30T02:12:56.000Z | 2021-03-08T18:59:46.000Z | salt/utils/jinja.py | gotcha/salt | 7b84c704777d3d2062911895dc3fdf93d40e9848 | [
"Apache-2.0"
] | null | null | null | salt/utils/jinja.py | gotcha/salt | 7b84c704777d3d2062911895dc3fdf93d40e9848 | [
"Apache-2.0"
] | 1 | 2020-12-04T11:28:06.000Z | 2020-12-04T11:28:06.000Z | '''
Jinja loading utils to enable a more powerful backend for jinja templates
'''
# Import python libs
from os import path
import logging
# Import third party libs
from jinja2 import BaseLoader
from jinja2.exceptions import TemplateNotFound
# Import salt libs
import salt
import salt.fileclient
log = logging.getLogg... | 31.912088 | 74 | 0.584022 |
1a8c977d32662cfecbd43b665dfa2d14eaa8acd0 | 641 | py | Python | tests/test_papas.py | edponce/papas | 7deb831d852c4f172ef87270bb3629cee5269799 | [
"MIT"
] | null | null | null | tests/test_papas.py | edponce/papas | 7deb831d852c4f172ef87270bb3629cee5269799 | [
"MIT"
] | null | null | null | tests/test_papas.py | edponce/papas | 7deb831d852c4f172ef87270bb3629cee5269799 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import unittest
from papas import papas
class TestConfigurationFiles(unittest.TestCase):
def test_loadYAMLTaskConf(self):
t = papas.load_conf('papas/tasks_conf/YAML_conf/helloWorld.yml')
self.assertTrue(len(t) > 0)
def test_loadJSONTaskConf(self):
t = papas.l... | 25.64 | 76 | 0.695788 |
1a8cac45f029c284fc84133977f3f6c8ffbd3c33 | 32,468 | py | Python | Fuzzy_TOPSIS_dm.py | aamiradeeb/Knowledge-Based-System---MaterialSelection | b03f3812e84c9db332081aee3a957f51f95ac153 | [
"MIT"
] | null | null | null | Fuzzy_TOPSIS_dm.py | aamiradeeb/Knowledge-Based-System---MaterialSelection | b03f3812e84c9db332081aee3a957f51f95ac153 | [
"MIT"
] | null | null | null | Fuzzy_TOPSIS_dm.py | aamiradeeb/Knowledge-Based-System---MaterialSelection | b03f3812e84c9db332081aee3a957f51f95ac153 | [
"MIT"
] | null | null | null |
import numpy as np
import sqlite3
import pandas as pd
import warnings
import copy
warnings.filterwarnings('error')
def fuzzyTOPSIS_fuzzydm(num_val_sublv2,ave_weight_dms_list,c_optimise_setdata_list):
con=sqlite3.connect("materialdatabase.db")
if num_val_sublv2 == 1 :
df=pd.read_sq... | 38.469194 | 106 | 0.502064 |
1a8cc51be50b8ca5639477e3d8fc063049cf9aff | 3,594 | py | Python | browsing/forms.py | gfranzini/dig_ed_cat | 5f1a64109010e5366d28d0639f088a2e895c3488 | [
"MIT"
] | null | null | null | browsing/forms.py | gfranzini/dig_ed_cat | 5f1a64109010e5366d28d0639f088a2e895c3488 | [
"MIT"
] | 10 | 2021-02-02T23:12:07.000Z | 2021-12-13T20:50:47.000Z | browsing/forms.py | gfranzini/dig_ed_cat | 5f1a64109010e5366d28d0639f088a2e895c3488 | [
"MIT"
] | null | null | null | from crispy_forms.helper import FormHelper
from crispy_forms.layout import Submit, Layout, Fieldset
from editions.models import *
from places.models import *
class MapFilterFormHelper(FormHelper):
def __init__(self, *args, **kwargs):
super(MapFilterFormHelper, self).__init__(*args, **kwargs)
self... | 31.252174 | 70 | 0.44463 |
1a8cda2398d17558374a8a543238f0a4c832588f | 2,615 | py | Python | skimage/util/montage.py | jaberg/scikits-image | 2ab3e2dfb341189ef2ff9370c6cf3d33ef6ec88d | [
"BSD-3-Clause"
] | null | null | null | skimage/util/montage.py | jaberg/scikits-image | 2ab3e2dfb341189ef2ff9370c6cf3d33ef6ec88d | [
"BSD-3-Clause"
] | null | null | null | skimage/util/montage.py | jaberg/scikits-image | 2ab3e2dfb341189ef2ff9370c6cf3d33ef6ec88d | [
"BSD-3-Clause"
] | 1 | 2019-12-20T19:19:59.000Z | 2019-12-20T19:19:59.000Z | __all__ = ['montage2d']
import numpy as np
from .. import exposure
EPSILON = 1e-6
def montage2d(arr_in, fill='mean', rescale_intensity=False):
"""Create a 2-dimensional 'montage' from a 3-dimensional input array
representing an ensemble of equally shaped 2-dimensional images.
For example, montage2d(arr... | 26.958763 | 76 | 0.572849 |
1a8ce9a45e004719257d26de8bcfc1d6094ccc2b | 1,700 | py | Python | tests/components/workers/timeloop_comp.py | HPC-SimTools/IPS-framework | 4911bcc97a64bb31503009de75f24d3cba263bec | [
"BSD-3-Clause"
] | 9 | 2019-05-06T17:30:35.000Z | 2021-12-10T16:05:00.000Z | tests/components/workers/timeloop_comp.py | HPC-SimTools/IPS-framework | 4911bcc97a64bb31503009de75f24d3cba263bec | [
"BSD-3-Clause"
] | 80 | 2018-04-13T20:25:04.000Z | 2022-03-10T21:59:58.000Z | tests/components/workers/timeloop_comp.py | HPC-SimTools/IPS-framework | 4911bcc97a64bb31503009de75f24d3cba263bec | [
"BSD-3-Clause"
] | 4 | 2020-08-07T17:58:13.000Z | 2021-11-12T17:17:42.000Z | from ipsframework import Component
class timeloop_comp(Component):
def init(self, timestamp=0.0):
self.output_files = self.OUTPUT_FILES.split()
self.output_files.append(self.services.get_config_param("CURRENT_STATE"))
self.services.stage_state()
for output_file in self.output_files... | 40.47619 | 87 | 0.669412 |
1a8d02821310cc2662b25ae4ae5ab4a383c7bce0 | 83 | py | Python | aerosandbox/dynamics/flight_dynamics.py | opme/AeroSandbox | 309ae275387fca0bcf0a36a105ba761584318f35 | [
"MIT"
] | null | null | null | aerosandbox/dynamics/flight_dynamics.py | opme/AeroSandbox | 309ae275387fca0bcf0a36a105ba761584318f35 | [
"MIT"
] | null | null | null | aerosandbox/dynamics/flight_dynamics.py | opme/AeroSandbox | 309ae275387fca0bcf0a36a105ba761584318f35 | [
"MIT"
] | null | null | null |
class FlightDynamics:
pass # TODO
class LinearFlightDynamics:
pass # TODO | 13.833333 | 27 | 0.722892 |
1a8d2197551ea485872fd16649c473b794c55928 | 4,006 | py | Python | src/ggrc/assets.py | Killswitchz/ggrc-core | 2460df94daf66727af248ad821462692917c97a9 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | src/ggrc/assets.py | Killswitchz/ggrc-core | 2460df94daf66727af248ad821462692917c97a9 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | src/ggrc/assets.py | Killswitchz/ggrc-core | 2460df94daf66727af248ad821462692917c97a9 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # Copyright (C) 2017 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
"""Manage "static" assets
The actual list of stylesheets and javascripts to compile is in
`assets/assets.yaml`.
When developing, you can use `webassets` to automatically recompile changed
assets by startin... | 29.674074 | 79 | 0.724164 |
1a8d3aeb7527689260e1522c37b921f946a82dc1 | 723 | py | Python | tests/test_image.py | NonSvizzero/CAGED-finder | b52120ff6a08afd1efe70883f8ac2af4f1d46a04 | [
"MIT"
] | 2 | 2019-09-26T20:15:22.000Z | 2020-08-30T14:42:26.000Z | tests/test_image.py | noplus/licksterr | b52120ff6a08afd1efe70883f8ac2af4f1d46a04 | [
"MIT"
] | 21 | 2018-10-21T12:39:46.000Z | 2019-02-23T17:21:16.000Z | tests/test_image.py | NonSvizzero/CAGED-finder | b52120ff6a08afd1efe70883f8ac2af4f1d46a04 | [
"MIT"
] | null | null | null | import os
from PIL import ImageColor
from licksterr.image import GuitarImage
from tests import TEST_ASSETS, LicksterrTest
class TestImage(LicksterrTest):
FORMS = 'CAGED'
@classmethod
def setUpClass(cls):
cls.guitar = GuitarImage()
def test_fill(self):
"""Should produce an image wit... | 30.125 | 102 | 0.650069 |
1a8d4b5738a246014c436a8e08cf023baca8ca44 | 1,711 | py | Python | assemblyline/odm/models/file.py | malvidin/assemblyline-base | 6e7de0c15fbca2cf586e33f04df7d3717bd0c0b5 | [
"MIT"
] | null | null | null | assemblyline/odm/models/file.py | malvidin/assemblyline-base | 6e7de0c15fbca2cf586e33f04df7d3717bd0c0b5 | [
"MIT"
] | null | null | null | assemblyline/odm/models/file.py | malvidin/assemblyline-base | 6e7de0c15fbca2cf586e33f04df7d3717bd0c0b5 | [
"MIT"
] | null | null | null | from assemblyline import odm
@odm.model(index=True, store=True)
class Seen(odm.Model):
count = odm.Integer(default=1) # Number of time we've seen this file
first = odm.Date(default="NOW") # Date of the first time we've seen the file
last = odm.Date(default="NOW") # Date of the last time we'v... | 61.107143 | 117 | 0.624781 |
1a8d4e4d9e07082a19578f8f742c0dc2fac8254b | 1,496 | py | Python | bin/install.py | henzk/django-productline | 24ff156924c1a8c07b99cbb8a1de0a42b8d81f60 | [
"MIT"
] | 5 | 2015-06-16T17:36:33.000Z | 2017-10-17T19:22:59.000Z | bin/install.py | henzk/django-productline | 24ff156924c1a8c07b99cbb8a1de0a42b8d81f60 | [
"MIT"
] | 8 | 2016-03-14T09:02:13.000Z | 2017-11-16T16:00:31.000Z | bin/install.py | henzk/django-productline | 24ff156924c1a8c07b99cbb8a1de0a42b8d81f60 | [
"MIT"
] | 17 | 2015-08-04T18:45:18.000Z | 2017-11-16T14:52:46.000Z | import os
import sys
def main(args):
if '--dev' in args:
use_devel_version = True
ape_devel_arg = '--dev'
args.remove('--dev')
djpl_install = 'pip install -e git+https://github.com/henzk/django-productline#egg=django-productline'
else:
use_devel_version = False
... | 32.521739 | 123 | 0.612968 |
1a8d58db756cf433eb572b81766a6ee3ee5ac019 | 2,475 | py | Python | tryalgo/arithm_expr_eval.py | xcarcelle/tryalgo | c159fbffbea0a4e8b70e8898c31c62c7e08a3865 | [
"MIT"
] | null | null | null | tryalgo/arithm_expr_eval.py | xcarcelle/tryalgo | c159fbffbea0a4e8b70e8898c31c62c7e08a3865 | [
"MIT"
] | null | null | null | tryalgo/arithm_expr_eval.py | xcarcelle/tryalgo | c159fbffbea0a4e8b70e8898c31c62c7e08a3865 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Evaluate an arithmetic expression
# jill-jenn vie et christoph durr - 2014-2018
# IPCELLS
# http://www.spoj.com/problems/IPCELLS/
from sys import stdin
# snip{ arithm_expr_eval
def arithm_expr_eval(cell, expr):
"""Evaluates a given expression
:param expr: ex... | 27.197802 | 69 | 0.537778 |
1a8d5d280b9aa8de8d1c72be8dd006488a35840a | 7,211 | py | Python | vfio_isolate/cli.py | spheenik/vfio-isolate | 6d6a1f0d5e5d84a5ad9911c635a81b86710d12d5 | [
"MIT"
] | 44 | 2020-05-03T15:03:32.000Z | 2022-03-23T19:03:23.000Z | vfio_isolate/cli.py | spheenik/vfio-isolate | 6d6a1f0d5e5d84a5ad9911c635a81b86710d12d5 | [
"MIT"
] | 7 | 2020-08-18T10:17:14.000Z | 2022-01-14T14:18:47.000Z | vfio_isolate/cli.py | spheenik/vfio-isolate | 6d6a1f0d5e5d84a5ad9911c635a81b86710d12d5 | [
"MIT"
] | 6 | 2020-06-02T05:29:34.000Z | 2022-02-04T17:12:40.000Z | import pickle
import sys
from dataclasses import is_dataclass
import click
from vfio_isolate.action import *
from vfio_isolate.cpu import CPU
from vfio_isolate.irq import IRQS
from vfio_isolate.nodeset import CPUNodeSet, NUMANodeSet
from vfio_isolate.serialize import *
def cb_numa_nodeset(ctx, param, value):
if... | 35.004854 | 130 | 0.655388 |
1a8d65bb30ff802c912e462832f1c9103e9362cd | 3,821 | py | Python | tools/test_net.py | nikolaevra/tf-faster-rcnn | 4a5a5f9cfd4dc6548ee9cf63f1122eadbc06ea39 | [
"MIT"
] | null | null | null | tools/test_net.py | nikolaevra/tf-faster-rcnn | 4a5a5f9cfd4dc6548ee9cf63f1122eadbc06ea39 | [
"MIT"
] | null | null | null | tools/test_net.py | nikolaevra/tf-faster-rcnn | 4a5a5f9cfd4dc6548ee9cf63f1122eadbc06ea39 | [
"MIT"
] | null | null | null | # --------------------------------------------------------
# Tensorflow Faster R-CNN
# Licensed under The MIT License [see LICENSE for details]
# Written by Zheqi he, Xinlei Chen, based on code from Ross Girshick
# --------------------------------------------------------
from __future__ import absolute_import
from __fu... | 31.065041 | 75 | 0.64224 |
1a8daa1bf222aeba0041a7dc69581e83f6e7d90f | 695 | py | Python | terrascript/data/Ouest_France/phpipam.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 507 | 2017-07-26T02:58:38.000Z | 2022-01-21T12:35:13.000Z | terrascript/data/Ouest_France/phpipam.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 135 | 2017-07-20T12:01:59.000Z | 2021-10-04T22:25:40.000Z | terrascript/data/Ouest_France/phpipam.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 81 | 2018-02-20T17:55:28.000Z | 2022-01-31T07:08:40.000Z | # terrascript/data/Ouest-France/phpipam.py
# Automatically generated by tools/makecode.py (24-Sep-2021 15:24:28 UTC)
import terrascript
class phpipam_address(terrascript.Data):
pass
class phpipam_addresses(terrascript.Data):
pass
class phpipam_first_free_address(terrascript.Data):
pass
class phpipam... | 16.162791 | 73 | 0.736691 |
1a8dacb127fd49094b42b5fe5acd9db61aba393c | 1,463 | py | Python | arbitrage.py | ai-abhinav/CCArbitrage | 6af8c2e6722f2398fabf3a6e483b1a0fcb8a3a53 | [
"MIT"
] | 1 | 2021-03-07T23:07:52.000Z | 2021-03-07T23:07:52.000Z | arbitrage.py | ai-abhinav/CCArbitrage | 6af8c2e6722f2398fabf3a6e483b1a0fcb8a3a53 | [
"MIT"
] | null | null | null | arbitrage.py | ai-abhinav/CCArbitrage | 6af8c2e6722f2398fabf3a6e483b1a0fcb8a3a53 | [
"MIT"
] | null | null | null | #logic
#For each symbol pair
# for each exchange
# fetch symbol price
# l = get lowest ask price
# h = get highest bid price
# if h > l*1.005
# raise warning
import ccxt
import schedule, time
def job():
##symbols = ['BCH/USD', 'ETH/USD', 'LTC/USD', 'DASH/USD']
symbols = ['BCH/USD', 'LTC/USD', 'ETH/USD']
pairs... | 31.804348 | 68 | 0.585783 |
1a8dcf247965c4c2d6a18954030cf9dffef50291 | 1,130 | py | Python | testpeacks.py | andreagia/peaks-identification | ddcc3523f9a1154f6c2f69035dde1bfb9eac0f2a | [
"MIT"
] | null | null | null | testpeacks.py | andreagia/peaks-identification | ddcc3523f9a1154f6c2f69035dde1bfb9eac0f2a | [
"MIT"
] | null | null | null | testpeacks.py | andreagia/peaks-identification | ddcc3523f9a1154f6c2f69035dde1bfb9eac0f2a | [
"MIT"
] | null | null | null | import sys
from peaksIdentification.peaks_assignement import *
import pickle
import numpy as np
filename = "spect.pck"
infile = open(filename,'rb')
spec_dict = pickle.load(infile)
infile.close()
for sp in spec_dict.keys():
print(spec_dict[sp].keys())
numa = [int(i) for i in spec_dict[sp].keys()]
numa.sort()... | 30.540541 | 64 | 0.656637 |
1a8dd8b4390e71da866ba7a76770d7a99ab971ba | 13,027 | py | Python | lvsfunc/kernels.py | Setsugennoao/lvsfunc | 44d9d9949f1dd7d7ad1c26417a8ca42ca9e2d382 | [
"MIT"
] | null | null | null | lvsfunc/kernels.py | Setsugennoao/lvsfunc | 44d9d9949f1dd7d7ad1c26417a8ca42ca9e2d382 | [
"MIT"
] | null | null | null | lvsfunc/kernels.py | Setsugennoao/lvsfunc | 44d9d9949f1dd7d7ad1c26417a8ca42ca9e2d382 | [
"MIT"
] | null | null | null | """
Kernels for VapourSynth internal resizers.
Intended for use by :py:mod:`lvsfunc.scale` functions.
"""
from abc import ABC, abstractmethod
from math import sqrt
from typing import Any, Dict, Tuple, Union, Optional
import vapoursynth as vs
core = vs.core
class Kernel(ABC):
"""
Abstract scaling ker... | 37.869186 | 93 | 0.566362 |
1a8df17169f35722b9d95579a7eb0f4e272c8fc8 | 706 | py | Python | eth/tools/_utils/vyper.py | jin10086/py-evm | da04e8de42fdbf3bc5ca596f5f6b3d810c1afea8 | [
"MIT"
] | 5 | 2018-09-28T20:01:42.000Z | 2022-02-22T19:54:46.000Z | eth/tools/_utils/vyper.py | jin10086/py-evm | da04e8de42fdbf3bc5ca596f5f6b3d810c1afea8 | [
"MIT"
] | null | null | null | eth/tools/_utils/vyper.py | jin10086/py-evm | da04e8de42fdbf3bc5ca596f5f6b3d810c1afea8 | [
"MIT"
] | 1 | 2019-01-29T21:09:31.000Z | 2019-01-29T21:09:31.000Z | import functools
try:
from vyper.compile_lll import (
compile_to_assembly,
assembly_to_evm,
)
from vyper.parser.parser_utils import LLLnode
except ImportError:
vyper_available = False
else:
vyper_available = True
def require_vyper(fn):
@functools.wraps(fn)
def inner(*args,... | 22.774194 | 80 | 0.681303 |
1a8df8e8ad00347648ea7a7511f341bd64221330 | 2,665 | py | Python | bootcamp/urls.py | basiltiger/easy_bootcamp | 875b9ed287f1a7824bb38f142dbe2f3b1ce54389 | [
"MIT"
] | null | null | null | bootcamp/urls.py | basiltiger/easy_bootcamp | 875b9ed287f1a7824bb38f142dbe2f3b1ce54389 | [
"MIT"
] | null | null | null | bootcamp/urls.py | basiltiger/easy_bootcamp | 875b9ed287f1a7824bb38f142dbe2f3b1ce54389 | [
"MIT"
] | null | null | null | from django.conf import settings
from django.conf.urls import include, url
from django.conf.urls.static import static
from django.contrib.auth import views as auth_views
from django.contrib import admin
from bootcamp.activities import views as activities_views
from bootcamp.authentication import views as bootcamp_auth_... | 44.416667 | 92 | 0.698311 |
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