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acfe7a3fe7f7a976fcdcea755f846b479807d8d2 | 30,934 | py | Python | src/translate.py | darrenyaoyao/VR_motion_predict | 2039197d017a16460caefff57bfb117c0bd814bc | [
"MIT"
] | null | null | null | src/translate.py | darrenyaoyao/VR_motion_predict | 2039197d017a16460caefff57bfb117c0bd814bc | [
"MIT"
] | null | null | null | src/translate.py | darrenyaoyao/VR_motion_predict | 2039197d017a16460caefff57bfb117c0bd814bc | [
"MIT"
] | null | null | null |
"""Simple code for training an RNN for motion prediction."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import math
import os
import random
import sys
import time
import h5py
import numpy as np
from six.moves import xrange # pylint: disable=redefined... | 40.226268 | 159 | 0.617282 |
acfe7a46d5efc68fe481212821e88af938b2b85f | 9,239 | py | Python | pystella/model/sn_flx.py | baklanovp/pystella | 47a8b9c3dcd343bf80fba80c8468b803f0f842ce | [
"MIT"
] | 1 | 2019-08-08T13:11:57.000Z | 2019-08-08T13:11:57.000Z | pystella/model/sn_flx.py | cradesto/pystella | f6f44ed12d9648585a52a09e15d494daa4c70c59 | [
"MIT"
] | 9 | 2015-07-11T16:39:57.000Z | 2021-11-23T07:31:49.000Z | pystella/model/sn_flx.py | cradesto/pystella | f6f44ed12d9648585a52a09e15d494daa4c70c59 | [
"MIT"
] | 1 | 2019-08-08T13:08:55.000Z | 2019-08-08T13:08:55.000Z | #!/usr/bin/env python
# -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.
#
# File Name : sn_flx.py
#
# Purpose :
#
# Creation Date : 30-10-2015
#
# Last Modified : Wed 23 Nov 2016 09:42:32 CET
#
# Created By : UMN
#
# Modified: Petr Baklanov
# _._._._._._._._._._._._._._._._._._._._._.
import struct
import numpy as np... | 31.212838 | 87 | 0.564996 |
acfe7b2e9ed51bb86761c2c7d3edf3ee5a071506 | 4,517 | py | Python | tensorflow_datasets/summarization/newsroom.py | kmh4321/datasets | 286d7a8a5eb3e073f18f8fee4f774bafc23fb445 | [
"Apache-2.0"
] | 1 | 2020-03-12T14:43:25.000Z | 2020-03-12T14:43:25.000Z | tensorflow_datasets/summarization/newsroom.py | kmh4321/datasets | 286d7a8a5eb3e073f18f8fee4f774bafc23fb445 | [
"Apache-2.0"
] | null | null | null | tensorflow_datasets/summarization/newsroom.py | kmh4321/datasets | 286d7a8a5eb3e073f18f8fee4f774bafc23fb445 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2019 The TensorFlow Datasets Authors.
#
# 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 appl... | 31.587413 | 91 | 0.675448 |
acfe7c705c7b43d8cb2110c7476df7639b29114a | 12,322 | py | Python | tasks.py | colour-science/colour-datasets | 464c387c17739f08a0cceb5185f6b225872adb6c | [
"BSD-3-Clause"
] | 28 | 2019-06-15T03:07:28.000Z | 2022-03-28T14:11:51.000Z | tasks.py | colour-science/colour-datasets | 464c387c17739f08a0cceb5185f6b225872adb6c | [
"BSD-3-Clause"
] | 12 | 2020-03-24T17:35:36.000Z | 2021-11-09T08:49:39.000Z | tasks.py | colour-science/colour-datasets | 464c387c17739f08a0cceb5185f6b225872adb6c | [
"BSD-3-Clause"
] | 8 | 2019-10-27T15:00:52.000Z | 2022-01-26T15:29:38.000Z | # -*- coding: utf-8 -*-
"""
Invoke - Tasks
==============
"""
import biblib.bib
import fnmatch
import os
import re
import uuid
from invoke import task
import colour_datasets
from colour.utilities import message_box
__author__ = 'Colour Developers'
__copyright__ = 'Copyright (C) 2019-2021 - Colour Developers'
__licen... | 24.94332 | 79 | 0.566791 |
acfe7cd77721314d49c76e0b9f994350236b8156 | 1,991 | py | Python | test/record/parser/test_response_whois_uniregistry_net_tattoo_status_available.py | huyphan/pyyawhois | 77fb2f73a9c67989f1d41d98f37037406a69d136 | [
"MIT"
] | null | null | null | test/record/parser/test_response_whois_uniregistry_net_tattoo_status_available.py | huyphan/pyyawhois | 77fb2f73a9c67989f1d41d98f37037406a69d136 | [
"MIT"
] | null | null | null | test/record/parser/test_response_whois_uniregistry_net_tattoo_status_available.py | huyphan/pyyawhois | 77fb2f73a9c67989f1d41d98f37037406a69d136 | [
"MIT"
] | null | null | null |
# This file is autogenerated. Do not edit it manually.
# If you want change the content of this file, edit
#
# spec/fixtures/responses/whois.uniregistry.net/tattoo/status_available
#
# and regenerate the tests with the following script
#
# $ scripts/generate_tests.py
#
from nose.tools import *
from dateutil.parse... | 30.166667 | 98 | 0.692617 |
acfe7dc4ddd6362af6d5aa9df0f2375061c5fd08 | 1,451 | py | Python | blog/migrations/0007_auto_20210205_1734.py | LeulAria/blogtalk | 69f6ce2f83e61476c5b2f0981a8cb7973b454eae | [
"MIT"
] | null | null | null | blog/migrations/0007_auto_20210205_1734.py | LeulAria/blogtalk | 69f6ce2f83e61476c5b2f0981a8cb7973b454eae | [
"MIT"
] | null | null | null | blog/migrations/0007_auto_20210205_1734.py | LeulAria/blogtalk | 69f6ce2f83e61476c5b2f0981a8cb7973b454eae | [
"MIT"
] | null | null | null | # Generated by Django 3.1.5 on 2021-02-05 17:34
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('blog', '0006_auto_202102... | 35.390244 | 150 | 0.593384 |
acfe7ea695b6e4846a89ec00f133b9cc2964a4cc | 63 | py | Python | psi/pair/__init__.py | delta-mpc/python-psi | 1665de12a713b37abd889268c66de84cddb1bf84 | [
"Apache-2.0"
] | 35 | 2021-05-28T10:03:09.000Z | 2022-03-24T12:08:19.000Z | psi/pair/__init__.py | delta-mpc/python-psi | 1665de12a713b37abd889268c66de84cddb1bf84 | [
"Apache-2.0"
] | 9 | 2021-07-15T09:16:34.000Z | 2022-03-31T03:59:16.000Z | psi/pair/__init__.py | delta-mpc/python-psi | 1665de12a713b37abd889268c66de84cddb1bf84 | [
"Apache-2.0"
] | 16 | 2021-06-18T02:18:56.000Z | 2022-03-25T02:43:48.000Z | from .pair import Address, Pair
from .factory import make_pair
| 21 | 31 | 0.809524 |
acfe7ed06a8b5096199cc3507db02219ea5d141d | 5,724 | py | Python | bindings/python/setup.py | aoighost/capstone | 7ed984fac73e1cb3e4abcd8495af7cb4c6774194 | [
"BSD-3-Clause"
] | null | null | null | bindings/python/setup.py | aoighost/capstone | 7ed984fac73e1cb3e4abcd8495af7cb4c6774194 | [
"BSD-3-Clause"
] | null | null | null | bindings/python/setup.py | aoighost/capstone | 7ed984fac73e1cb3e4abcd8495af7cb4c6774194 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
import glob
import os
import platform
import shutil
import stat
import sys
from distutils import log
from distutils import dir_util
from distutils.command.build_clib import build_clib
from distutils.command.sdist import sdist
from distutils.core import setup
from distutils.sysconfig import get_py... | 31.8 | 140 | 0.584382 |
acfe7faf5a9bd332b66bb44257f4560796472d74 | 817 | py | Python | examples/gateway.py | anegramotnov/prometheus_udp_gateway | 08e20bfde6fecdb687d2ed62ffd1d393fa498253 | [
"WTFPL"
] | null | null | null | examples/gateway.py | anegramotnov/prometheus_udp_gateway | 08e20bfde6fecdb687d2ed62ffd1d393fa498253 | [
"WTFPL"
] | null | null | null | examples/gateway.py | anegramotnov/prometheus_udp_gateway | 08e20bfde6fecdb687d2ed62ffd1d393fa498253 | [
"WTFPL"
] | null | null | null | import argparse
import prometheus_udp_gateway
import metrics
# TODO: entrypoint in setup.py
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description='Prometheus UDP Gateway'
)
parser.add_argument('-p', '--prometheus_port', required=True, type=int)
parser.add_argume... | 30.259259 | 87 | 0.680539 |
acfe801506789e87d59decba65c5fd80de5e51ae | 1,981 | py | Python | main.py | milosgajdos83/creep-dreamz | a1d12f19bdeb5493c2a7327f760282180decbfd2 | [
"Apache-2.0"
] | 1 | 2021-10-15T13:10:25.000Z | 2021-10-15T13:10:25.000Z | main.py | milosgajdos/creep-dreamz | a1d12f19bdeb5493c2a7327f760282180decbfd2 | [
"Apache-2.0"
] | 9 | 2020-03-24T15:36:16.000Z | 2022-02-09T23:29:54.000Z | main.py | milosgajdos83/creep-dreamz | a1d12f19bdeb5493c2a7327f760282180decbfd2 | [
"Apache-2.0"
] | 1 | 2021-10-15T13:10:09.000Z | 2021-10-15T13:10:09.000Z | import argparse
from creep_dreamz import CreepDream
from image import save, preprocess
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Creep Dreamz with Keras.')
parser.add_argument('-i', '--input', type=str,
help='Path to the input data', required=True)
pa... | 42.148936 | 96 | 0.611307 |
acfe80cb642080b3ae9cc02d75ebdf5eef8aaaa2 | 14,681 | py | Python | test/functional/p2p_unrequested_blocks.py | PETTOKEN/PETT | 46dbd0f86b002e87e615d6237535d1a389a678e2 | [
"MIT"
] | null | null | null | test/functional/p2p_unrequested_blocks.py | PETTOKEN/PETT | 46dbd0f86b002e87e615d6237535d1a389a678e2 | [
"MIT"
] | null | null | null | test/functional/p2p_unrequested_blocks.py | PETTOKEN/PETT | 46dbd0f86b002e87e615d6237535d1a389a678e2 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2015-2017 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test processing of unrequested blocks.
Setup: two nodes, node0+node1, not connected to each other. Nod... | 43.95509 | 113 | 0.675431 |
acfe82493fd95d619eeab90c3ff2180c973eb722 | 3,477 | py | Python | smart_qq_plugins/basic.py | LiuSecone/DeeCamp-13 | 83c0d6a233c0164c5d2daedac5ca4dafe54ef0c4 | [
"MIT"
] | 5 | 2018-08-10T01:45:50.000Z | 2019-10-10T16:23:01.000Z | smart_qq_plugins/basic.py | LiuSecone/DeeCamp-13 | 83c0d6a233c0164c5d2daedac5ca4dafe54ef0c4 | [
"MIT"
] | null | null | null | smart_qq_plugins/basic.py | LiuSecone/DeeCamp-13 | 83c0d6a233c0164c5d2daedac5ca4dafe54ef0c4 | [
"MIT"
] | 1 | 2018-11-18T09:55:52.000Z | 2018-11-18T09:55:52.000Z | # -*- coding: utf-8 -*-
import random
from smart_qq_bot.logger import logger
from smart_qq_bot.signals import (
on_all_message,
on_group_message,
on_private_message,
on_discuss_message,
)
import urllib
import sys
import time
sys.path.append('../chatbot_cut/')
# =====唤出插件=====
# 机器人连续回复相同消息时可能会出现
# 服务器响应... | 31.609091 | 156 | 0.571757 |
acfe8284bcff0c04cc3709dd27f0bc6b1cf39451 | 2,715 | py | Python | mimic3-readmission/mimic3models/common_utils.py | yzhouas/MIMIC-III_ICU_Readmission_Analysis | b876a2b6f1c431bf556b690cc9fcb9e3ce75c81c | [
"MIT"
] | 16 | 2018-06-01T09:07:55.000Z | 2022-02-24T04:23:46.000Z | mimic3-readmission/mimic3models/common_utils.py | yzhouas/MIMIC-III_ICU_Readmission_Analysis | b876a2b6f1c431bf556b690cc9fcb9e3ce75c81c | [
"MIT"
] | 2 | 2021-07-20T02:53:00.000Z | 2021-07-25T03:09:41.000Z | mimic3-readmission/mimic3models/common_utils.py | yzhouas/MIMIC-III_ICU_Readmission_Analysis | b876a2b6f1c431bf556b690cc9fcb9e3ce75c81c | [
"MIT"
] | 8 | 2018-06-01T09:08:00.000Z | 2022-02-24T04:24:17.000Z | import os
def read_chunk(reader, chunk_size):
data = {}
for i in range(chunk_size):
ret = reader.read_next()
for k, v in ret.items():
if k not in data:
data[k] = []
data[k].append(v)
data["header"] = data["header"][0]
return data
def add_commo... | 45.25 | 80 | 0.618416 |
acfe82c27d8d58eaa6969b7195950465279f5e3d | 8,795 | py | Python | cogs/init.py | turbomam/cogs | df2c89c0c6adcadfbe565ebcad58d1574205fb18 | [
"BSD-3-Clause"
] | 5 | 2020-06-30T19:03:34.000Z | 2022-01-04T21:26:11.000Z | cogs/init.py | turbomam/cogs | df2c89c0c6adcadfbe565ebcad58d1574205fb18 | [
"BSD-3-Clause"
] | 89 | 2020-06-09T19:46:24.000Z | 2022-02-11T01:26:11.000Z | cogs/init.py | turbomam/cogs | df2c89c0c6adcadfbe565ebcad58d1574205fb18 | [
"BSD-3-Clause"
] | 2 | 2020-06-30T17:53:45.000Z | 2022-02-02T23:49:25.000Z | import csv
import gspread
import json
import logging
import os
import warnings
from cogs.exceptions import InitError
from cogs.helpers import is_email, is_valid_role, get_client, get_version, set_logging
default_fields = [
{
"Field": "sheet",
"Label": "Sheet",
"Datatype": "cogs:sql_id",
... | 36.645833 | 100 | 0.541558 |
acfe83162f0952c458a2d46212a4b1c865ccced5 | 1,574 | py | Python | tests/case2/github/test_repo_with_branch_develop.py | cffbots/howfairis | 008552b7266e229bd38553631d7dfe3554df18b2 | [
"Apache-2.0"
] | 27 | 2020-09-10T10:04:56.000Z | 2022-02-07T23:24:13.000Z | tests/case2/github/test_repo_with_branch_develop.py | cffbots/howfairis | 008552b7266e229bd38553631d7dfe3554df18b2 | [
"Apache-2.0"
] | 297 | 2020-09-07T14:10:08.000Z | 2022-02-18T09:46:30.000Z | tests/case2/github/test_repo_with_branch_develop.py | cffbots/howfairis | 008552b7266e229bd38553631d7dfe3554df18b2 | [
"Apache-2.0"
] | 6 | 2020-09-10T12:58:37.000Z | 2022-03-11T10:17:21.000Z | from howfairis import Platform
from howfairis import Repo
from tests.contracts.repo import Contract
def get_repo():
return Repo("https://github.com/fair-software/repo1", branch="develop")
class TestRepoWithBranchDevelop(Contract):
def test_api(self, mocker):
with mocker:
repo = get_repo... | 28.107143 | 116 | 0.598475 |
acfe8377dd93daa447754286c081ec430d377778 | 434 | py | Python | ST_DM/KDD2021-MSTPAC/code/MST-PAC/utils/model_eval/log_vdl.py | zhangyimi/Research | 866f91d9774a38d205d6e9a3b1ee6293748261b3 | [
"Apache-2.0"
] | 1,319 | 2020-02-14T10:42:07.000Z | 2022-03-31T15:42:18.000Z | ST_DM/KDD2021-MSTPAC/code/MST-PAC/utils/model_eval/log_vdl.py | green9989/Research | 94519a72e7936c77f62a31709634b72c09aabf74 | [
"Apache-2.0"
] | 192 | 2020-02-14T02:53:34.000Z | 2022-03-31T02:25:48.000Z | ST_DM/KDD2021-MSTPAC/code/MST-PAC/utils/model_eval/log_vdl.py | green9989/Research | 94519a72e7936c77f62a31709634b72c09aabf74 | [
"Apache-2.0"
] | 720 | 2020-02-14T02:12:38.000Z | 2022-03-31T12:21:15.000Z | import os
import sys
from visualdl import LogWriter
global_step = int(sys.argv[2])
print(global_step)
print('VDL_PATH', os.getenv("VDL_LOG_PATH"))
with open(sys.argv[1]) as f, \
LogWriter("{}/log_{}".format(os.getenv("VDL_LOG_PATH"), "METRICS"), file_name='vdlrecords.metrics.log') as writer:
for line in f:
... | 36.166667 | 118 | 0.68894 |
acfe8444628b72f3093503a9f5a1c009e2dd83b5 | 1,555 | py | Python | var/spack/repos/builtin/packages/r-rngtools/package.py | varioustoxins/spack | cab0e4cb240f34891a6d753f3393e512f9a99e9a | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | null | null | null | var/spack/repos/builtin/packages/r-rngtools/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-rngtools/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)
from spack import *
class RRngtools(RPackage):
"""Utility Functions for Working with Random Number Generators
P... | 48.59375 | 97 | 0.729904 |
acfe84604314a032875134fbd19e29bd36420e98 | 576 | py | Python | 2015/05/part1.py | timofurrer/aoc-2020 | 446b688a57601d9891f520e43b7f822c373a6ff4 | [
"MIT"
] | null | null | null | 2015/05/part1.py | timofurrer/aoc-2020 | 446b688a57601d9891f520e43b7f822c373a6ff4 | [
"MIT"
] | null | null | null | 2015/05/part1.py | timofurrer/aoc-2020 | 446b688a57601d9891f520e43b7f822c373a6ff4 | [
"MIT"
] | null | null | null | from pathlib import Path
with (Path(__file__).parent / "input.txt").open() as puzzle_input_file:
puzzle_input_raw = puzzle_input_file.read()
contains_at_least_three_vowels = lambda w: len([x for x in w if x in {"a", "e", "i", "o", "u"}]) >= 3
two_letters_in_row = lambda w: any(x == y for x, y in zip(w, w[1:]))
do... | 44.307692 | 103 | 0.699653 |
acfe84a5ade8cbfe3e21878c749784a0eb6af898 | 445 | py | Python | tests/conftest.py | hengwei-chan/aescore | 0eba684e757db2994fc6062736eef73ba8365a9b | [
"BSD-3-Clause"
] | 4 | 2021-03-04T12:51:49.000Z | 2022-03-25T13:48:23.000Z | tests/conftest.py | hengwei-chan/aescore | 0eba684e757db2994fc6062736eef73ba8365a9b | [
"BSD-3-Clause"
] | 14 | 2020-11-19T16:19:38.000Z | 2022-03-24T14:40:43.000Z | tests/conftest.py | hengwei-chan/aescore | 0eba684e757db2994fc6062736eef73ba8365a9b | [
"BSD-3-Clause"
] | 3 | 2021-04-13T08:14:26.000Z | 2021-08-17T22:21:53.000Z | import os
import pytest
@pytest.fixture
def testdir():
wdir = os.path.dirname(os.path.abspath(__file__))
return os.path.join(wdir, "testdata")
@pytest.fixture
def testdata():
wdir = os.path.dirname(os.path.abspath(__file__))
return os.path.join(wdir, "testdata/systems.dat")
@pytest.fixture
def ... | 17.8 | 55 | 0.703371 |
acfe85f7b904eb81c8d341dc6f598f0c9c46a26c | 28,099 | py | Python | r_statistics/r_dataNormalization.py | dmccloskey/r_statistics | 459a50a376ba82914e6e27fbeb7e430d36029f76 | [
"MIT"
] | null | null | null | r_statistics/r_dataNormalization.py | dmccloskey/r_statistics | 459a50a376ba82914e6e27fbeb7e430d36029f76 | [
"MIT"
] | null | null | null | r_statistics/r_dataNormalization.py | dmccloskey/r_statistics | 459a50a376ba82914e6e27fbeb7e430d36029f76 | [
"MIT"
] | null | null | null | from .r_dependencies import *
from .r_base import r_base
class r_dataNormalization(r_base):
def calculate_glogNormalization_v1(self,data_I):
'''normalize the data using a glog transformation using LMGene
https://www.bioconductor.org/packages/release/bioc/html/LMGene.html
Citation: Rock... | 51.369287 | 280 | 0.562476 |
acfe863dd06da0d9ed2daec532916a880d3d4362 | 17,333 | py | Python | src/examples/RuleBasedDistributedModel/test/customStrategy.py | wei12f8158/YAFS | 88df88b6f1dc8d88e0c2424939464d9c7b708d28 | [
"MIT"
] | null | null | null | src/examples/RuleBasedDistributedModel/test/customStrategy.py | wei12f8158/YAFS | 88df88b6f1dc8d88e0c2424939464d9c7b708d28 | [
"MIT"
] | null | null | null | src/examples/RuleBasedDistributedModel/test/customStrategy.py | wei12f8158/YAFS | 88df88b6f1dc8d88e0c2424939464d9c7b708d28 | [
"MIT"
] | 2 | 2021-02-22T17:18:42.000Z | 2021-02-24T17:30:33.000Z | from collections import defaultdict
import random
import pickle
import networkx as nx
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import colors
import matplotlib as mpl
import math
from matplotlib.colors import ListedColormap, LinearSegmentedColormap
import json
import pandas as pd
class Cus... | 36.878723 | 177 | 0.57278 |
acfe875d74d22695363cb0328aabcf18b6704d4e | 10,582 | py | Python | tools/ci/tc/tests/test_valid.py | ijjk/web-platform-tests | bbbcde8645524e0f81f751db4d1518c4f448185c | [
"BSD-3-Clause"
] | 1 | 2020-06-13T22:46:20.000Z | 2020-06-13T22:46:20.000Z | tools/ci/tc/tests/test_valid.py | harper-covamez/wpt | d699674d7b2ae45feadb40f8a02a6a5256270b16 | [
"BSD-3-Clause"
] | null | null | null | tools/ci/tc/tests/test_valid.py | harper-covamez/wpt | d699674d7b2ae45feadb40f8a02a6a5256270b16 | [
"BSD-3-Clause"
] | null | null | null | import json
import os
from io import open
import jsone
import mock
import pytest
import requests
import yaml
from jsonschema import validate
from tools.ci.tc import decision
here = os.path.dirname(__file__)
root = os.path.abspath(os.path.join(here, "..", "..", "..", ".."))
def data_path(filename):
return os.pa... | 41.175097 | 124 | 0.659422 |
acfe87e4fda6cfc14a660bef3fd4d5262e2414b3 | 22,274 | py | Python | asyncpg/connect_utils.py | shadchin/asyncpg | 53bea985bfda80f0af9eb3659f8e4568677e27e8 | [
"Apache-2.0"
] | 1 | 2021-03-17T13:55:49.000Z | 2021-03-17T13:55:49.000Z | asyncpg/connect_utils.py | shadchin/asyncpg | 53bea985bfda80f0af9eb3659f8e4568677e27e8 | [
"Apache-2.0"
] | null | null | null | asyncpg/connect_utils.py | shadchin/asyncpg | 53bea985bfda80f0af9eb3659f8e4568677e27e8 | [
"Apache-2.0"
] | 1 | 2021-11-17T16:15:36.000Z | 2021-11-17T16:15:36.000Z | # Copyright (C) 2016-present the asyncpg authors and contributors
# <see AUTHORS file>
#
# This module is part of asyncpg and is released under
# the Apache 2.0 License: http://www.apache.org/licenses/LICENSE-2.0
import asyncio
import collections
import functools
import getpass
import os
import pathlib
import platfor... | 30.181572 | 79 | 0.564874 |
acfe8826864653ef660ef04485ce047dc158f6b0 | 1,130 | py | Python | uf_examples/courses/manage_columns_filter.py | mconlon17/vivo-org-ingest | 7ea3130c78322c18cc263263ee369588c3e1fc0a | [
"BSD-2-Clause"
] | 6 | 2015-04-22T15:17:51.000Z | 2019-03-01T16:26:35.000Z | uf_examples/courses/manage_columns_filter.py | mconlon17/vivo-org-ingest | 7ea3130c78322c18cc263263ee369588c3e1fc0a | [
"BSD-2-Clause"
] | 174 | 2015-02-18T13:32:39.000Z | 2019-06-26T18:56:18.000Z | uf_examples/courses/manage_columns_filter.py | mconlon17/vivo-org-ingest | 7ea3130c78322c18cc263263ee369588c3e1fc0a | [
"BSD-2-Clause"
] | 11 | 2015-04-22T15:17:59.000Z | 2019-06-24T10:49:40.000Z | #!/usr/bin/env/python
"""
manage_columns_filter.py -- add needed columns, remove unused columns
"""
__author__ = "Michael Conlon"
__copyright__ = "Copyright 2016 (c) Michael Conlon"
__license__ = "New BSD License"
__version__ = "0.01"
import sys
from pump.vivopump import read_csv_fp, write_csv_fp, improve_cours... | 25.111111 | 96 | 0.69469 |
acfe88b2ff6a426b00ca119936f789f7f3bf616d | 1,544 | py | Python | lineplotter.py | mrawls/FDBinary-tools | 26b78a12df53d9a1a477fcf247cbf2dad8c39836 | [
"MIT"
] | 2 | 2020-05-25T09:45:03.000Z | 2020-08-28T14:43:53.000Z | lineplotter.py | mrawls/FDBinary-tools | 26b78a12df53d9a1a477fcf247cbf2dad8c39836 | [
"MIT"
] | null | null | null | lineplotter.py | mrawls/FDBinary-tools | 26b78a12df53d9a1a477fcf247cbf2dad8c39836 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
from astropy.io import fits
import sys
sys.path.append('../BF-rvplotter') # hey this works!
from BF_functions import read_specfiles
'''
Plot a few absorption lines from a stellar spectra to compare with a model.
Note read_specfiles requires timestamps in bjdfile, but t... | 35.906977 | 106 | 0.713083 |
acfe8a145abba379b21d247aab01e27375ffdd1d | 2,650 | py | Python | tests/zookeeper/test_party.py | denissmirnov/kiel | fa80aa1ccd790c0fbbd8cc46a72162195e1aed69 | [
"Apache-2.0"
] | 47 | 2016-02-23T18:32:55.000Z | 2021-12-03T00:50:52.000Z | tests/zookeeper/test_party.py | denissmirnov/kiel | fa80aa1ccd790c0fbbd8cc46a72162195e1aed69 | [
"Apache-2.0"
] | 21 | 2016-02-23T01:41:18.000Z | 2020-10-27T21:09:32.000Z | tests/zookeeper/test_party.py | denissmirnov/kiel | fa80aa1ccd790c0fbbd8cc46a72162195e1aed69 | [
"Apache-2.0"
] | 13 | 2016-05-18T06:16:48.000Z | 2019-10-31T19:35:25.000Z | import unittest
from mock import Mock
from kazoo.exceptions import NoNodeError
from kiel.zookeeper import party
class PartyTests(unittest.TestCase):
def test_start_ensures_path_and_watches_changes(self):
client = Mock()
def collect_callback(fn):
client.change_callback = fn
... | 28.191489 | 74 | 0.652453 |
acfe8a49d05fc2170c6895dbfe0d1e700310678b | 9,408 | py | Python | VAE/vae_bak_uncompleted.py | 13952522076/diffvg | 2c5af9ecf470b1c7071e821583e5ba09cb2c4622 | [
"Apache-2.0"
] | null | null | null | VAE/vae_bak_uncompleted.py | 13952522076/diffvg | 2c5af9ecf470b1c7071e821583e5ba09cb2c4622 | [
"Apache-2.0"
] | null | null | null | VAE/vae_bak_uncompleted.py | 13952522076/diffvg | 2c5af9ecf470b1c7071e821583e5ba09cb2c4622 | [
"Apache-2.0"
] | null | null | null | import torch
from base import BaseVAE
from torch import nn
from typing import List, TypeVar
import torch.nn.functional as F
# from torch import tensor as Tensor
Tensor = TypeVar('torch.tensor')
__all__ = ['VanillaVAE', "VAELoss"]
class SELayer(nn.Module):
def __init__(self, channel, reduction = 16):
sup... | 31.783784 | 113 | 0.537415 |
acfe8a65de229b9e0a5b72518b7391cf654e7276 | 9,880 | py | Python | test/functional/mining_pos_reorg.py | CortezDevTeam/encocoin | 638030888618b8b4572a809706346e3297b5cbb7 | [
"MIT"
] | 1 | 2020-10-04T15:43:15.000Z | 2020-10-04T15:43:15.000Z | test/functional/mining_pos_reorg.py | CortezDevTeam/encocoin | 638030888618b8b4572a809706346e3297b5cbb7 | [
"MIT"
] | null | null | null | test/functional/mining_pos_reorg.py | CortezDevTeam/encocoin | 638030888618b8b4572a809706346e3297b5cbb7 | [
"MIT"
] | 3 | 2020-06-07T22:05:26.000Z | 2020-08-31T18:10:54.000Z | #!/usr/bin/env python3
# Copyright (c) 2019 The EncoCoin developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
from test_framework.authproxy import JSONRPCException
from test_framework.test_framework import EncoCoinTestFramew... | 46.824645 | 116 | 0.636134 |
acfe8a94c953a827d65adf79e589aaeece6b0fa1 | 42,788 | py | Python | udsoncan/__init__.py | Mark-RSK/python-udsoncan | dc9ff3a74ff50e4a2178738b5e729994fef9d4a1 | [
"MIT"
] | null | null | null | udsoncan/__init__.py | Mark-RSK/python-udsoncan | dc9ff3a74ff50e4a2178738b5e729994fef9d4a1 | [
"MIT"
] | null | null | null | udsoncan/__init__.py | Mark-RSK/python-udsoncan | dc9ff3a74ff50e4a2178738b5e729994fef9d4a1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import inspect
import struct
import math
from udsoncan.exceptions import *
from udsoncan.Request import Request
from udsoncan.Response import Response
import logging, logging.config
from os import path
log_file_path = path.join(path.dirname(path.abspath(__file__)), 'logg... | 41.301158 | 273 | 0.721744 |
acfe8af7d133fa5b8c1d31ad21b0f2e52fbfe46a | 1,742 | py | Python | ML-for-S2S/torch_customdataset.py | mariajmolina/ML-for-S2S | 3de32e72042ba7e8b37a433579fa9c5630246d8c | [
"MIT"
] | null | null | null | ML-for-S2S/torch_customdataset.py | mariajmolina/ML-for-S2S | 3de32e72042ba7e8b37a433579fa9c5630246d8c | [
"MIT"
] | null | null | null | ML-for-S2S/torch_customdataset.py | mariajmolina/ML-for-S2S | 3de32e72042ba7e8b37a433579fa9c5630246d8c | [
"MIT"
] | 1 | 2021-05-29T23:24:37.000Z | 2021-05-29T23:24:37.000Z | import torch
from torch.utils.data import Dataset
"""
Module contains several pytorch datasets.
Author: Maria J. Molina, NCAR (molina@ucar.edu)
"""
class CustomDataset(Dataset):
def __init__(self, traindata, testdata, transform=None, target_transform=None):
"""Minimal dataset preprocessin... | 24.885714 | 83 | 0.585534 |
acfe8d2211629730e873ba2f387379ac18bd56fb | 95 | py | Python | src/episodetrackerapp/apps.py | jonathankamau/EpisodeTracker | 78b92b5cdcdcf52608a47a7a0edb7c6b0e3d1246 | [
"MIT"
] | 1 | 2018-09-14T03:45:02.000Z | 2018-09-14T03:45:02.000Z | src/episodetrackerapp/apps.py | jonathankamau/EpisodeTracker | 78b92b5cdcdcf52608a47a7a0edb7c6b0e3d1246 | [
"MIT"
] | 15 | 2020-06-05T14:55:41.000Z | 2021-02-02T02:16:30.000Z | src/episodetrackerapp/apps.py | jonathankamau/EpisodeTracker | 78b92b5cdcdcf52608a47a7a0edb7c6b0e3d1246 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class AppConfig(AppConfig):
name = 'episodetrackerapp'
| 15.833333 | 33 | 0.768421 |
acfe8da8fc3330b45ddcb2ff97f13cac2f3ad4e4 | 379 | py | Python | models/facility.py | stuartcampbell/nsls2-api | 8175e524279f51d9b43ad0f8f08b8b3f54eceae0 | [
"BSD-3-Clause"
] | null | null | null | models/facility.py | stuartcampbell/nsls2-api | 8175e524279f51d9b43ad0f8f08b8b3f54eceae0 | [
"BSD-3-Clause"
] | null | null | null | models/facility.py | stuartcampbell/nsls2-api | 8175e524279f51d9b43ad0f8f08b8b3f54eceae0 | [
"BSD-3-Clause"
] | null | null | null | from enum import Enum
from typing import Optional, List
from pydantic.main import BaseModel
class FacilityName(Enum):
nsls2="nsls2"
lbms="lbms"
class Facility(BaseModel):
name: str
id: str
fullname: str
pass_facility_id: str
class Cycle(BaseModel):
name: str
class Config:
sch... | 15.791667 | 35 | 0.627968 |
acfe8db0b5b8391343a87ccf6639633b28413ff8 | 545 | py | Python | linkysets/users/managers.py | hqrrylyu/linkysets | 1b8c319820bdf116a5cad7efff69178e739cf26b | [
"MIT"
] | null | null | null | linkysets/users/managers.py | hqrrylyu/linkysets | 1b8c319820bdf116a5cad7efff69178e739cf26b | [
"MIT"
] | 5 | 2021-04-08T19:20:07.000Z | 2021-09-22T19:03:30.000Z | linkysets/users/managers.py | hqrrylyu/polemicflow | 1b8c319820bdf116a5cad7efff69178e739cf26b | [
"MIT"
] | null | null | null | from __future__ import annotations
from typing import TYPE_CHECKING
from django.db.models import Count, QuerySet
if TYPE_CHECKING:
from .models import User
BaseUserQuerySet = QuerySet[User]
else:
BaseUserQuerySet = QuerySet
class UserQuerySet(BaseUserQuerySet):
def num_entrysets(self) -> UserQuery... | 25.952381 | 87 | 0.743119 |
acfe8e86ac91064a7669bbd3d98fb38c804e305f | 258 | py | Python | foodsharing_bot/users/apps.py | apnkv/foodsharing_bot | 5ae548dec0c86a129dbea7d2329feddc87b9a87d | [
"MIT"
] | null | null | null | foodsharing_bot/users/apps.py | apnkv/foodsharing_bot | 5ae548dec0c86a129dbea7d2329feddc87b9a87d | [
"MIT"
] | null | null | null | foodsharing_bot/users/apps.py | apnkv/foodsharing_bot | 5ae548dec0c86a129dbea7d2329feddc87b9a87d | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class UsersAppConfig(AppConfig):
name = "foodsharing_bot.users"
verbose_name = "Users"
def ready(self):
try:
import users.signals # noqa F401
except ImportError:
pass
| 18.428571 | 45 | 0.620155 |
acfe8f6f2aab1820e743c922d488b578b7dfbbac | 10,297 | py | Python | prototype/nplinker/scoring/data_linking_functions.py | louwenjjr/nplinker | 22e957d0f3326775ca5c1f850073067c6fb256d6 | [
"Apache-2.0"
] | 6 | 2018-10-24T20:33:49.000Z | 2022-03-11T03:44:14.000Z | prototype/nplinker/scoring/data_linking_functions.py | louwenjjr/nplinker | 22e957d0f3326775ca5c1f850073067c6fb256d6 | [
"Apache-2.0"
] | 44 | 2018-10-25T19:46:26.000Z | 2022-03-31T20:31:06.000Z | prototype/nplinker/scoring/data_linking_functions.py | louwenjjr/nplinker | 22e957d0f3326775ca5c1f850073067c6fb256d6 | [
"Apache-2.0"
] | 4 | 2018-10-29T15:29:41.000Z | 2022-03-10T14:36:40.000Z | # Copyright 2021 The NPLinker Authors
#
# 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... | 34.323333 | 112 | 0.653394 |
acfe8f6f311d2ff9da77ed8c0ae3276808823fd0 | 6,052 | py | Python | cassle/methods/mocov2plus.py | DonkeyShot21/cassle | d25f9c7cb5e822660dc1ef03e7fac09a33d0b1a8 | [
"MIT"
] | 13 | 2022-03-24T10:08:44.000Z | 2022-03-29T09:33:05.000Z | cassle/methods/mocov2plus.py | DonkeyShot21/cassle | d25f9c7cb5e822660dc1ef03e7fac09a33d0b1a8 | [
"MIT"
] | null | null | null | cassle/methods/mocov2plus.py | DonkeyShot21/cassle | d25f9c7cb5e822660dc1ef03e7fac09a33d0b1a8 | [
"MIT"
] | null | null | null | import argparse
from typing import Any, Dict, List, Sequence, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from cassle.losses.moco import moco_loss_func
from cassle.methods.base import BaseMomentumModel
from cassle.utils.gather_layer import gather
from cassle.utils.momentum import initializ... | 35.6 | 99 | 0.627726 |
acfe8fdced05944fd9ac688ac3f984143e679a22 | 1,885 | py | Python | beginner_contest/176/D.py | FGtatsuro/myatcoder | 25a3123be6a6311e7d1c25394987de3e35575ff4 | [
"MIT"
] | null | null | null | beginner_contest/176/D.py | FGtatsuro/myatcoder | 25a3123be6a6311e7d1c25394987de3e35575ff4 | [
"MIT"
] | null | null | null | beginner_contest/176/D.py | FGtatsuro/myatcoder | 25a3123be6a6311e7d1c25394987de3e35575ff4 | [
"MIT"
] | null | null | null | import sys
input = sys.stdin.readline
sys.setrecursionlimit(10 ** 7)
h, w = map(int, input().split())
ch, cw = map(int, input().split())
dh, dw = map(int, input().split())
graph = [0] + [0] * h
dist = [0] + [0] * h
for i in range(h):
graph[i + 1] = [0] + list(input().strip())
dist[i + 1] = [0] + [-1] * w
from... | 33.070175 | 95 | 0.54748 |
acfe901bf002079cb12493e329c64fa9be514bf9 | 3,288 | py | Python | Util.py | pr0tege/csv_database | 3e3c44b846ef9229a9336d2aca8c4b82c5260f74 | [
"MIT"
] | null | null | null | Util.py | pr0tege/csv_database | 3e3c44b846ef9229a9336d2aca8c4b82c5260f74 | [
"MIT"
] | null | null | null | Util.py | pr0tege/csv_database | 3e3c44b846ef9229a9336d2aca8c4b82c5260f74 | [
"MIT"
] | null | null | null | USERS = "./data_store/users.csv"
ADDRESSES = "./data_store/addresses.csv"
def load_users():
"""
Loads users csv
:return:
"""
with open(USERS, "r") as file:
# creates dictionary to separate csv values to make it easy to iterate between them
# the hash() function is used t... | 30.444444 | 120 | 0.612835 |
acfe90442cd1d5ff082cd97b3d275b545af6330a | 9,167 | py | Python | neutron/plugins/nec/db/packetfilter.py | ksshanam/neutron-dvr | c0854ea0d1023ab42e1ef861f9b6ff480e985ac5 | [
"Apache-2.0"
] | 3 | 2015-02-02T02:51:39.000Z | 2015-02-23T10:20:23.000Z | neutron/plugins/nec/db/packetfilter.py | ksshanam/neutron-dvr | c0854ea0d1023ab42e1ef861f9b6ff480e985ac5 | [
"Apache-2.0"
] | 4 | 2015-02-23T10:21:11.000Z | 2015-03-04T09:28:20.000Z | neutron/plugins/nec/db/packetfilter.py | ksshanam/neutron-dvr | c0854ea0d1023ab42e1ef861f9b6ff480e985ac5 | [
"Apache-2.0"
] | null | null | null | # Copyright 2012-2013 NEC Corporation. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requ... | 41.858447 | 79 | 0.617105 |
acfe90be6d26f4e8b9caf47184039f55dccb6c13 | 1,042 | py | Python | FuzzyLayer.py | CI-SSLab/FRNN | f0f9a6a4b2981f0c70c612eb7f020bdc03040032 | [
"MIT"
] | null | null | null | FuzzyLayer.py | CI-SSLab/FRNN | f0f9a6a4b2981f0c70c612eb7f020bdc03040032 | [
"MIT"
] | null | null | null | FuzzyLayer.py | CI-SSLab/FRNN | f0f9a6a4b2981f0c70c612eb7f020bdc03040032 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from tensorflow.keras.layers import Layer, InputSpec
import tensorflow as tf
from tensorflow.keras.initializers import RandomUniform
class FuzzyLayer(Layer):
def __init__(self, output_dim, **kwargs):
self.output_dim = output_dim
self.input_spec ... | 32.5625 | 100 | 0.591171 |
acfe911d07fe53778beb84ba1b773c08f91d505e | 4,202 | py | Python | kitchen/migrations/0001_initial.py | DenerRodrigues/cheffapp-api | 498e9c96102f9bc777158b7aa07a99d89afa6a39 | [
"MIT"
] | 1 | 2020-03-23T03:21:43.000Z | 2020-03-23T03:21:43.000Z | kitchen/migrations/0001_initial.py | DenerRodrigues/cheffapp-api | 498e9c96102f9bc777158b7aa07a99d89afa6a39 | [
"MIT"
] | 5 | 2021-03-19T01:03:34.000Z | 2021-06-10T18:44:34.000Z | kitchen/migrations/0001_initial.py | DenerRodrigues/chefapp-api | 498e9c96102f9bc777158b7aa07a99d89afa6a39 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.4 on 2020-03-23 02:58
from decimal import Decimal
from django.conf import settings
import django.core.validators
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
import jsonfield.fields
import multiselectfield.db.fields
class Migration(m... | 65.65625 | 454 | 0.632556 |
acfe91beb4afebcdfc91b4027f7d02e152f6beb9 | 5,744 | py | Python | python/Lib/site-packages/tectle/fakeorders.py | ksritharan/tectle | ca76424d85e66b041b40997838a3ceb79266efab | [
"MIT"
] | 1 | 2021-03-04T14:58:05.000Z | 2021-03-04T14:58:05.000Z | python/Lib/site-packages/tectle/fakeorders.py | ksritharan/tectle | ca76424d85e66b041b40997838a3ceb79266efab | [
"MIT"
] | 8 | 2021-02-26T02:32:59.000Z | 2021-05-28T02:22:07.000Z | python/Lib/site-packages/tectle/fakeorders.py | ksritharan/business-automation | ca76424d85e66b041b40997838a3ceb79266efab | [
"MIT"
] | null | null | null | from .db import get_connection, get_data_dict
from flask import render_template, url_for, make_response, jsonify
from .buildschema import create_fake_receipts
from datetime import datetime
def add_one_more(cur):
query = """
SELECT MAX(CAST(receipt_id AS INT))+COUNT(1)+1 as new_receipt_id
FROM FA... | 29.15736 | 109 | 0.501219 |
acfe9215630a3f3c92563aed0f90b1a2afb43201 | 4,056 | py | Python | data/p4VQE/R4/benchmark/startQiskit_Class777.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | data/p4VQE/R4/benchmark/startQiskit_Class777.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | data/p4VQE/R4/benchmark/startQiskit_Class777.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | # qubit number=5
# total number=40
import cirq
import qiskit
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit import BasicAer, execute, transpile
from pprint import pprint
from qiskit.test.mock import FakeVigo
from math import log2,floor, sqrt, pi
import numpy as np
import networkx as ... | 30.727273 | 80 | 0.603057 |
acfe928eeba48beae36f27c90e54dbe8ee39e9bb | 3,413 | py | Python | csg_dicoms_anonymizer/csg_fileutil_libs/pydicom/util/dump.py | lrq3000/csg_dicoms_anonymizer | bd7d631b8b657e54086585c04593ed8470670f0d | [
"MIT"
] | 1 | 2021-04-01T22:26:47.000Z | 2021-04-01T22:26:47.000Z | csg_dicoms_anonymizer/csg_fileutil_libs/pydicom/util/dump.py | lrq3000/csg_dicoms_anonymizer | bd7d631b8b657e54086585c04593ed8470670f0d | [
"MIT"
] | 1 | 2019-04-08T08:59:23.000Z | 2019-04-09T16:43:29.000Z | csg_dicoms_anonymizer/csg_fileutil_libs/pydicom/util/dump.py | lrq3000/csg_dicoms_anonymizer | bd7d631b8b657e54086585c04593ed8470670f0d | [
"MIT"
] | 3 | 2017-08-08T11:41:31.000Z | 2021-09-30T08:52:08.000Z | # dump.py
"""Utility functions used in debugging writing and reading"""
# Copyright (c) 2008-2012 Darcy Mason
# This file is part of pydicom, relased under an MIT license.
# See the file license.txt included with this distribution, also
# available at https://github.com/darcymason/pydicom
from __future__ import ... | 34.474747 | 91 | 0.636683 |
acfe9444e58241095eda0d2f353e7a80a4a6736d | 27,139 | py | Python | two_stream_bert2.py | hansheng0512/LateTemporalModeling3DCNN | 71c1d3fae9781c55059f0518e0b39781a535e153 | [
"MIT"
] | null | null | null | two_stream_bert2.py | hansheng0512/LateTemporalModeling3DCNN | 71c1d3fae9781c55059f0518e0b39781a535e153 | [
"MIT"
] | null | null | null | two_stream_bert2.py | hansheng0512/LateTemporalModeling3DCNN | 71c1d3fae9781c55059f0518e0b39781a535e153 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Dec 4 10:42:00 2019
@author: esat
"""
import os
import time
import argparse
import shutil
import numpy as np
os.environ["CUDA_DEVICE_ORDER"]="PCI_BUS_ID"
os.environ["CUDA_VISIBLE_DEVICES"]="0"
import torch
import torch.nn as nn
import torch.nn.para... | 40.627246 | 124 | 0.589779 |
acfe94f633ccfb1fdfe48cb1bba8161a19ba7bcf | 13,728 | py | Python | tests/test_engine.py | longkyle/scrapy | 81218b62cbaf2a3f772845b65c3e7126371a09b6 | [
"BSD-3-Clause"
] | null | null | null | tests/test_engine.py | longkyle/scrapy | 81218b62cbaf2a3f772845b65c3e7126371a09b6 | [
"BSD-3-Clause"
] | 1 | 2020-04-03T11:16:19.000Z | 2020-04-03T11:16:19.000Z | tests/test_engine.py | grammy-jiang/scrapy | 519f752d6dcd3065e81e9387062003a39f3f0b81 | [
"BSD-3-Clause"
] | null | null | null | """
Scrapy engine tests
This starts a testing web server (using twisted.server.Site) and then crawls it
with the Scrapy crawler.
To view the testing web server in a browser you can start it by running this
module with the ``runserver`` argument::
python test_engine.py runserver
"""
import os
import re
import sy... | 37.714286 | 105 | 0.621649 |
acfe95ababd05bfd9bf8386a164cb630c7b5f41a | 3,195 | py | Python | tests/test_model_funcs.py | linkian209/PyBitWarden | bc686da04a362a99a30a66de1d484fd585300f74 | [
"MIT"
] | null | null | null | tests/test_model_funcs.py | linkian209/PyBitWarden | bc686da04a362a99a30a66de1d484fd585300f74 | [
"MIT"
] | null | null | null | tests/test_model_funcs.py | linkian209/PyBitWarden | bc686da04a362a99a30a66de1d484fd585300f74 | [
"MIT"
] | null | null | null | """tests.test_model_funcs
This module tests the helper functions for the models of this app.
Attributes:
UUID_REGEX: A regular expression for testing valid UUIDS
"""
import pytest # noqa
import re
import time
import models.funcs as test_funcs
UUID_REGEX = '\A[0-9A-Fa-f]{8}-[0-9A-Fa-f]{4}-[0-9A-Fa-f]{4}-[0-9A-F... | 29.045455 | 101 | 0.705164 |
acfe9684bf6964bd892e4d55d0570719ec061188 | 7,854 | py | Python | platforms/hermes-python/tests/api/ffi/test_dialogue.py | elbywan/hermes-protocol | da23326f026fbfb8a23413c78383301e523188f3 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 37 | 2018-12-07T16:32:32.000Z | 2021-07-08T17:43:27.000Z | platforms/hermes-python/tests/api/ffi/test_dialogue.py | elbywan/hermes-protocol | da23326f026fbfb8a23413c78383301e523188f3 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 52 | 2018-12-28T11:10:05.000Z | 2019-11-13T02:01:41.000Z | platforms/hermes-python/tests/api/ffi/test_dialogue.py | elbywan/hermes-protocol | da23326f026fbfb8a23413c78383301e523188f3 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 34 | 2019-03-21T21:53:35.000Z | 2020-07-31T16:50:43.000Z | from __future__ import unicode_literals
import mock
import pytest
from hermes_python.api.ffi.dialogue import DialogueFFI
from hermes_python.ontology.dialogue import StartSessionMessage, SessionInitAction, SessionInitNotification, \
ContinueSessionMessage, EndSessionMessage, DialogueConfigureMessage, DialogueConfig... | 45.398844 | 115 | 0.761523 |
acfe96b3020f8ce0e289a5cda14e56340f60ca5f | 4,838 | py | Python | get_gaoqingla_1080p_movie.py | Damon-wenc/Small-Data | d5e01169bff0c418142521a7c1b4e7e6d66ba51b | [
"Apache-2.0"
] | null | null | null | get_gaoqingla_1080p_movie.py | Damon-wenc/Small-Data | d5e01169bff0c418142521a7c1b4e7e6d66ba51b | [
"Apache-2.0"
] | null | null | null | get_gaoqingla_1080p_movie.py | Damon-wenc/Small-Data | d5e01169bff0c418142521a7c1b4e7e6d66ba51b | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
'''
这个小程序是为了将一个电影网（高清网 http://gaoqing.la/）的1080P资源遍历下保存下来，
'''
import urllib2
import lxml.html as parser
from gevent import monkey; monkey.patch_socket()
from gevent.pool import Pool
pool = Pool(2)
#网站禁止爬虫，需加一个表头伪装浏览器头
HEADERS = {'User-Agent':'Mozilla/5.0 (Windows; U; Window... | 31.415584 | 269 | 0.580819 |
acfe971566ffdb6a9495dbd12002a73646a8c3a7 | 651 | py | Python | cmsplugin_forms_builder/__init__.py | natgeosociety/cmsplugin-forms-builder | 5420f2be32eec484919cdf4a73aba8f831f14adc | [
"BSD-3-Clause"
] | null | null | null | cmsplugin_forms_builder/__init__.py | natgeosociety/cmsplugin-forms-builder | 5420f2be32eec484919cdf4a73aba8f831f14adc | [
"BSD-3-Clause"
] | null | null | null | cmsplugin_forms_builder/__init__.py | natgeosociety/cmsplugin-forms-builder | 5420f2be32eec484919cdf4a73aba8f831f14adc | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
cmsplugin_forms_builder
"""
__version_info__ = {
'major': 2,
'minor': 0,
'micro': 0,
'releaselevel': 'final',
'serial': 1
}
def get_version(short=False):
assert __version_info__['releaselevel'] in ('alpha', 'beta', 'final')
vers = ["%(major)i.%(minor)i" % __ver... | 25.038462 | 77 | 0.609831 |
acfe98aafceaa1278a75c280992c851fb39db201 | 23,052 | py | Python | tests/integration/netapi/rest_tornado/test_app.py | ari/salt | 05de98e237719b4f0cc68f08871ffaa532eddec5 | [
"Apache-2.0"
] | null | null | null | tests/integration/netapi/rest_tornado/test_app.py | ari/salt | 05de98e237719b4f0cc68f08871ffaa532eddec5 | [
"Apache-2.0"
] | null | null | null | tests/integration/netapi/rest_tornado/test_app.py | ari/salt | 05de98e237719b4f0cc68f08871ffaa532eddec5 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Import Python Libs
from __future__ import absolute_import
from __future__ import print_function
import json
import time
from distutils.version import StrictVersion # pylint: disable=import-error,no-name-in-module
# Import Salt Libs
from salt.netapi.rest_tornado import saltnado
from unit.net... | 40.944938 | 126 | 0.508806 |
acfe9970f88be9ec9b3955cc0740ff1cb85b1c41 | 2,502 | py | Python | test/functional/mempool_limit.py | CryptoDev-Project/FUNC | 5000a663600befe26370e6831d65115645844ffb | [
"MIT"
] | 4 | 2019-12-31T06:33:20.000Z | 2021-08-02T18:52:15.000Z | test/functional/mempool_limit.py | CryptoDev-Project/FUNC | 5000a663600befe26370e6831d65115645844ffb | [
"MIT"
] | null | null | null | test/functional/mempool_limit.py | CryptoDev-Project/FUNC | 5000a663600befe26370e6831d65115645844ffb | [
"MIT"
] | 4 | 2019-12-24T12:32:36.000Z | 2020-07-13T17:05:22.000Z | #!/usr/bin/env python3
# Copyright (c) 2014-2017 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test mempool limiting together/eviction with the wallet."""
from test_framework.test_framework import ... | 45.490909 | 118 | 0.671463 |
acfe9a593a327ddaa18d843c8afa039a3f97f5bf | 9,832 | py | Python | mypyc/emitwrapper.py | r3m0t/mypyc | 118d08c2fa8235f24724880b66b991b79462ff76 | [
"PSF-2.0"
] | null | null | null | mypyc/emitwrapper.py | r3m0t/mypyc | 118d08c2fa8235f24724880b66b991b79462ff76 | [
"PSF-2.0"
] | null | null | null | mypyc/emitwrapper.py | r3m0t/mypyc | 118d08c2fa8235f24724880b66b991b79462ff76 | [
"PSF-2.0"
] | null | null | null | """Generate CPython API wrapper function for a native function."""
from mypyc.common import PREFIX, NATIVE_PREFIX, DUNDER_PREFIX
from mypyc.emit import Emitter
from mypyc.ops import (
ClassIR, FuncIR, RType, RuntimeArg,
is_object_rprimitive, is_int_rprimitive, is_bool_rprimitive,
bool_rprimitive,
FUNC_... | 43.122807 | 98 | 0.62144 |
acfe9ae4ad7c86e19b11a15d5dfa5fcc936a331b | 7,009 | py | Python | test2.py | saurabhtalele/finitediff | e27e092a0236cc980dfe58405d72d7f95a17667d | [
"MIT"
] | 1 | 2021-04-30T10:14:27.000Z | 2021-04-30T10:14:27.000Z | test2.py | saurabhtalele/finitediff | e27e092a0236cc980dfe58405d72d7f95a17667d | [
"MIT"
] | null | null | null | test2.py | saurabhtalele/finitediff | e27e092a0236cc980dfe58405d72d7f95a17667d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Fri Apr 30 03:26:59 2021
@author: s
"""
import numpy.matlib
import numpy as np
import sympy as sp
import re
import sys
import io
from io import StringIO
import string
from pytexit import py2tex
#import matplotlib.pyplot as plt
from flask import Flask
from pyweb... | 28.49187 | 439 | 0.525467 |
acfe9b02239c12729025a00316856bfc38aba472 | 1,002 | py | Python | expenshare/sharelists/urls.py | atsanda/Expenshare | 3b6c21395a552200627e8203a7a5d28166dbb813 | [
"MIT"
] | null | null | null | expenshare/sharelists/urls.py | atsanda/Expenshare | 3b6c21395a552200627e8203a7a5d28166dbb813 | [
"MIT"
] | 20 | 2020-06-07T20:05:18.000Z | 2021-09-19T13:43:11.000Z | expenshare/sharelists/urls.py | atsanda/Expenshare | 3b6c21395a552200627e8203a7a5d28166dbb813 | [
"MIT"
] | null | null | null | from django.urls import path
from expenshare.sharelists.views import (
CreditCreate,
CreditDelete,
CreditUpdate,
CreditView,
SharelistCreate,
SharelistMain,
SharelistSummary,
)
app_name = "sharelists"
urlpatterns = [
path("create", SharelistCreate.as_view(), name="create"),
path("<... | 25.692308 | 83 | 0.623752 |
acfe9bbc55e16fb1206cbbc2626a40b76a342b98 | 97 | py | Python | test/test_playeah.py | fmcevoy/playeah | 98c77bc6ba5b6f53cffeab9ed3133e682d26a54d | [
"Apache-2.0"
] | null | null | null | test/test_playeah.py | fmcevoy/playeah | 98c77bc6ba5b6f53cffeab9ed3133e682d26a54d | [
"Apache-2.0"
] | null | null | null | test/test_playeah.py | fmcevoy/playeah | 98c77bc6ba5b6f53cffeab9ed3133e682d26a54d | [
"Apache-2.0"
] | null | null | null | import pytest
def test_nothing():
assert 1 == 1
def test_nothing_else():
assert 2 == 2
| 12.125 | 24 | 0.649485 |
acfe9bf7f83a0ed50382fcb536ae4c91045f8684 | 1,329 | py | Python | mqtt.py | RRMoelker/socketMQTT | 5efe73106524ba87bd6e168f16fb3a3b18b8636d | [
"MIT"
] | 3 | 2016-04-10T15:39:12.000Z | 2020-08-07T05:18:05.000Z | mqtt.py | RRMoelker/socketMQTT | 5efe73106524ba87bd6e168f16fb3a3b18b8636d | [
"MIT"
] | 1 | 2016-04-10T08:14:21.000Z | 2016-04-10T08:18:46.000Z | mqtt.py | RRMoelker/socketMQTT | 5efe73106524ba87bd6e168f16fb3a3b18b8636d | [
"MIT"
] | 2 | 2019-10-31T11:13:13.000Z | 2021-09-08T22:28:15.000Z | import logging
import paho.mqtt.client as mqtt
import config
logger = logging.getLogger(__name__)
def on_connect(client, userdata, rc):
"""
The callback for when the client receives a CONNACK response from the server.
Subscribing in on_connect() means that if we lose the connection and
reconnect the... | 34.076923 | 81 | 0.670429 |
acfe9bfeda2f12d841a5325d6ebd32ff76e71c98 | 25,560 | py | Python | glycowork/motif/tokenization.py | Old-Shatterhand/glycowork | 544fde03dd38cf95fb97792e050d7ff68f5637b1 | [
"MIT"
] | null | null | null | glycowork/motif/tokenization.py | Old-Shatterhand/glycowork | 544fde03dd38cf95fb97792e050d7ff68f5637b1 | [
"MIT"
] | null | null | null | glycowork/motif/tokenization.py | Old-Shatterhand/glycowork | 544fde03dd38cf95fb97792e050d7ff68f5637b1 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
import re
import copy
from itertools import combinations_with_replacement
from collections import Counter
from sklearn.cluster import DBSCAN
from glycowork.glycan_data.loader import lib, motif_list, find_nth, unwrap, df_species, Hex, dHex, HexNAc, Sia, linkages
from glycowork.mot... | 45.399645 | 273 | 0.645696 |
acfe9c7a8753dc3128af8acf0be531cfc2500dca | 247 | py | Python | old/buttontest.py | gumbald/photobooth | 930527e3f9232a7bbf637d445f4e5ce77d5cb0ec | [
"MIT"
] | null | null | null | old/buttontest.py | gumbald/photobooth | 930527e3f9232a7bbf637d445f4e5ce77d5cb0ec | [
"MIT"
] | null | null | null | old/buttontest.py | gumbald/photobooth | 930527e3f9232a7bbf637d445f4e5ce77d5cb0ec | [
"MIT"
] | null | null | null | import RPi.GPIO as GPIO
import time
GPIO.setmode(GPIO.BCM)
GPIO.setup(5, GPIO.IN, pull_up_down=GPIO.PUD_UP)
while True:
input_state = GPIO.input(5)
if input_state == False:
print("Hello")
time.sleep(0.2)
| 19 | 48 | 0.623482 |
acfe9ce57a0b07f75ae85db86dd680efbfc36463 | 826 | py | Python | src/services/core/service_loader.py | Telsanyr/Johnny_VI | db9f54457c33b1f70616671611e6bc4fc4c44d1b | [
"WTFPL"
] | 6 | 2018-08-07T14:57:58.000Z | 2020-02-13T18:43:49.000Z | src/services/core/service_loader.py | Telsanyr/Johnny_VI | db9f54457c33b1f70616671611e6bc4fc4c44d1b | [
"WTFPL"
] | 2 | 2018-08-08T12:12:28.000Z | 2018-08-23T12:46:25.000Z | src/services/core/service_loader.py | Telsanyr/Johnny_VI | db9f54457c33b1f70616671611e6bc4fc4c44d1b | [
"WTFPL"
] | 1 | 2018-08-07T14:51:15.000Z | 2018-08-07T14:51:15.000Z | #!/usr/bin/env python
# -*- coding: utf8 -*-
# coding: utf8
# This is a module loader. It will reload all the files dedicated to the module
# each time it is reloaded. Therefore, any code modification will be taken into
# account.
# Moreover, because all files are loaded in the same module. All classes and
# global va... | 41.3 | 80 | 0.751816 |
acfe9f4e0aefbb7c974bcb3beaf946d90910c093 | 14,313 | py | Python | grama/fit/fit_scikitlearn.py | Riya-1/py_grama | caafeac418ce0014b477e6feded06ccc1592b94d | [
"MIT"
] | 13 | 2020-02-24T16:51:51.000Z | 2022-03-30T18:56:55.000Z | grama/fit/fit_scikitlearn.py | zdelrosario/py_grama | 43f1a76dc93dd33f02e8a7f8de3323894beefed0 | [
"MIT"
] | 78 | 2019-12-30T19:13:21.000Z | 2022-02-23T18:17:54.000Z | grama/fit/fit_scikitlearn.py | Riya-1/py_grama | caafeac418ce0014b477e6feded06ccc1592b94d | [
"MIT"
] | 7 | 2020-10-19T17:49:25.000Z | 2021-08-15T20:46:52.000Z | __all__ = [
"fit_gp",
"ft_gp",
"fit_lm",
"ft_lm",
"fit_rf",
"ft_rf",
"fit_kmeans",
"ft_kmeans",
]
## Fitting via sklearn package
try:
from sklearn.base import clone
from sklearn.linear_model import LinearRegression
from sklearn.gaussian_process import GaussianProcessRegresso... | 28.915152 | 96 | 0.593866 |
acfe9f5610b93f98ec0936a6d94913b428f06b23 | 425 | py | Python | 2021/3-1.py | lkesteloot/advent-of-code | 4372e76602e16c69db8c227081b334d58455af1f | [
"MIT"
] | null | null | null | 2021/3-1.py | lkesteloot/advent-of-code | 4372e76602e16c69db8c227081b334d58455af1f | [
"MIT"
] | null | null | null | 2021/3-1.py | lkesteloot/advent-of-code | 4372e76602e16c69db8c227081b334d58455af1f | [
"MIT"
] | null | null | null |
lines = [list(map(int,list(line.strip()))) for line in open("input-3.txt")]
count = len(lines)
half = count // 2
sums = lines[0]
for i in range(1, count):
for j in range(len(sums)):
sums[j] += lines[i][j]
print(sums, count)
gamma = int("".join(map(lambda x: "1" if x > half else "0", sums)), 2)
epsilon... | 21.25 | 75 | 0.6 |
acfe9fce76273a7e6d4a0611a05499ee73cc3ade | 2,000 | py | Python | net/HyperIMxd.py | bcol23/HyperIM | c257d1c6296e399e734110d54d0ccd5fc91b5c02 | [
"MIT"
] | 44 | 2019-05-27T07:00:36.000Z | 2021-12-06T14:05:56.000Z | net/HyperIMxd.py | dragon9001/HyperIM | c257d1c6296e399e734110d54d0ccd5fc91b5c02 | [
"MIT"
] | 6 | 2019-06-02T16:43:49.000Z | 2021-11-17T03:37:19.000Z | net/HyperIMxd.py | dragon9001/HyperIM | c257d1c6296e399e734110d54d0ccd5fc91b5c02 | [
"MIT"
] | 10 | 2019-06-05T08:20:10.000Z | 2021-08-09T11:49:25.000Z | import sys
sys.path.append('..')
import torch as th
import torch.nn as nn
import torch.nn.functional as F
import geoopt as gt
from .hypernnxd import *
from util.hyperop import poinc_dist
class HyperIM(nn.Module):
def __init__(self, feature_num, word_embed, label_embed, d_ball=2, hidden_size=5, if_gru=True... | 36.363636 | 114 | 0.6165 |
acfea023c24916e487df0187a4e457da80a4a78a | 4,116 | py | Python | build_binary_dist.py | Nukem9/IDASkins | 989690fffe8a7df78dc08f927cf8120f58bbfd58 | [
"MIT"
] | 37 | 2015-05-25T19:14:01.000Z | 2021-11-18T14:05:11.000Z | build_binary_dist.py | nihilus/ida-skins | ee881f39798e8cfc2908246ccd150cb5b6702f5f | [
"MIT"
] | 5 | 2015-08-27T15:10:25.000Z | 2017-06-02T01:28:13.000Z | build_binary_dist.py | nihilus/ida-skins | ee881f39798e8cfc2908246ccd150cb5b6702f5f | [
"MIT"
] | 7 | 2015-06-02T16:50:01.000Z | 2020-09-04T20:36:40.000Z | #!/usr/bin/env python
"""
This script build the binary distribution for the Windows version of IDA
PRO for multiple IDA versions in one batch.
The MIT License (MIT)
Copyright (c) 2014 athre0z
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software an... | 38.111111 | 98 | 0.618319 |
acfea07e1c3d6cf7c3aed9d21b6d0260b728e4da | 684 | py | Python | formulario/migrations/0011_auto_20201128_0105.py | giuliocc/censo-querido-diario | 0a83244d6c7a9de21f72ce1b441868bc517d0aec | [
"MIT"
] | 40 | 2020-09-09T00:21:03.000Z | 2021-12-12T03:30:37.000Z | formulario/migrations/0011_auto_20201128_0105.py | giuliocc/censo-querido-diario | 0a83244d6c7a9de21f72ce1b441868bc517d0aec | [
"MIT"
] | 41 | 2020-10-02T01:56:40.000Z | 2022-03-23T14:08:22.000Z | formulario/migrations/0011_auto_20201128_0105.py | giuliocc/censo-querido-diario | 0a83244d6c7a9de21f72ce1b441868bc517d0aec | [
"MIT"
] | 23 | 2020-09-30T19:15:45.000Z | 2022-03-03T01:03:28.000Z | # Generated by Django 3.1.1 on 2020-11-28 01:05
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('formulario', '0010_merge_20201009_2009'),
]
operations = [
migrations.CreateModel(
name='MapeamentoValidado',
fields=[
... | 22.8 | 51 | 0.501462 |
acfea12d733ddcd5d72e71bfee4249d314cc6e8d | 27,953 | py | Python | src/controller/python/chip/ChipDeviceCtrl.py | step0035/connectedhomeip | 02bd2c7112cd4f375dc880cf9d81a1bab58da6c1 | [
"Apache-2.0"
] | null | null | null | src/controller/python/chip/ChipDeviceCtrl.py | step0035/connectedhomeip | 02bd2c7112cd4f375dc880cf9d81a1bab58da6c1 | [
"Apache-2.0"
] | null | null | null | src/controller/python/chip/ChipDeviceCtrl.py | step0035/connectedhomeip | 02bd2c7112cd4f375dc880cf9d81a1bab58da6c1 | [
"Apache-2.0"
] | null | null | null | #
# Copyright (c) 2020-2021 Project CHIP Authors
# Copyright (c) 2019-2020 Google, LLC.
# Copyright (c) 2013-2018 Nest Labs, Inc.
# All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may o... | 42.034586 | 200 | 0.661933 |
acfea1486fc330bac99c5998491fdfbd341e4889 | 4,777 | py | Python | pylayers/location/locarule.py | usmanwardag/pylayers | 2e8a9bdc993b2aacc92610a9c7edf875c6c7b24a | [
"MIT"
] | 143 | 2015-01-09T07:50:20.000Z | 2022-03-02T11:26:53.000Z | pylayers/location/locarule.py | usmanwardag/pylayers | 2e8a9bdc993b2aacc92610a9c7edf875c6c7b24a | [
"MIT"
] | 148 | 2015-01-13T04:19:34.000Z | 2022-03-11T23:48:25.000Z | pylayers/location/locarule.py | usmanwardag/pylayers | 2e8a9bdc993b2aacc92610a9c7edf875c6c7b24a | [
"MIT"
] | 95 | 2015-05-01T13:22:42.000Z | 2022-03-15T11:22:28.000Z | from pylayers.util.project import *
import networkx as nx
import ConfigParser
import scipy.stats as sps
import pdb
##### global info PL_model
#config = ConfigParser.ConfigParser()
#config.read(basename+'/ini/EMSolver.ini')
#plm_opt = dict(config.items('PL_MODEL'))
#sigmaRSS = float(plm_opt['sigmarss'])# dBm !!!!!!
#f... | 23.648515 | 90 | 0.468495 |
acfea24b3b49fdffc938ea58b8f7a675fa188cc8 | 311 | py | Python | Basic_Concepts_of_String_Manipulation/Artificial_reviews.py | RKiddle/python_reg_expressions | 9e89c1c59677ffa19a4c64a37e92bbea33fad88e | [
"MIT"
] | null | null | null | Basic_Concepts_of_String_Manipulation/Artificial_reviews.py | RKiddle/python_reg_expressions | 9e89c1c59677ffa19a4c64a37e92bbea33fad88e | [
"MIT"
] | null | null | null | Basic_Concepts_of_String_Manipulation/Artificial_reviews.py | RKiddle/python_reg_expressions | 9e89c1c59677ffa19a4c64a37e92bbea33fad88e | [
"MIT"
] | null | null | null | # Select the first 32 characters of movie1
first_part = movie1[:32]
# Select from 43rd character to the end of movie1
last_part = movie1[42:]
# Select from 33rd to the 42nd character
middle_part = movie2[32:42]
# Print concatenation and movie2 variable
print(first_part+middle_part+last_part)
print(movie2)
| 23.923077 | 49 | 0.778135 |
acfea3baecd4c6fa01ab5a8a38b2600662084195 | 1,858 | py | Python | Pillow-4.3.0/Tests/test_shell_injection.py | leorzz/simplemooc | 8b1c5e939d534b1fd729596df4c59fc69708b896 | [
"MIT"
] | null | null | null | Pillow-4.3.0/Tests/test_shell_injection.py | leorzz/simplemooc | 8b1c5e939d534b1fd729596df4c59fc69708b896 | [
"MIT"
] | null | null | null | Pillow-4.3.0/Tests/test_shell_injection.py | leorzz/simplemooc | 8b1c5e939d534b1fd729596df4c59fc69708b896 | [
"MIT"
] | null | null | null | from helper import unittest, PillowTestCase
from helper import djpeg_available, cjpeg_available, netpbm_available
import sys
import shutil
from PIL import Image, JpegImagePlugin, GifImagePlugin
TEST_JPG = "Tests/images/hopper.jpg"
TEST_GIF = "Tests/images/hopper.gif"
test_filenames = (
"temp_';",
"temp_\";"... | 32.034483 | 76 | 0.698062 |
acfea456573b480dd638a2e5578f17abf0843cc5 | 8,001 | py | Python | IPython/history.py | yaii/ipyconsole | f8cd869074ce2778f86dced1cfeb4569adeccb40 | [
"BSD-3-Clause"
] | null | null | null | IPython/history.py | yaii/ipyconsole | f8cd869074ce2778f86dced1cfeb4569adeccb40 | [
"BSD-3-Clause"
] | null | null | null | IPython/history.py | yaii/ipyconsole | f8cd869074ce2778f86dced1cfeb4569adeccb40 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
""" History related magics and functionality """
# Stdlib imports
import fnmatch
import os
# IPython imports
from IPython.genutils import Term, ask_yes_no
def magic_history(self, parameter_s = ''):
"""Print input history (_i<n> variables), with most recent last.
%history -... | 29.307692 | 80 | 0.568929 |
acfea48c74b0c4aad5c0dac65589bec51b0d99bc | 7,130 | py | Python | qiskit_experiments/library/quantum_volume/qv_experiment.py | spencerking/qiskit-experiments | 11a254b010afe35933aaabac70de12b5b5a244bf | [
"Apache-2.0"
] | null | null | null | qiskit_experiments/library/quantum_volume/qv_experiment.py | spencerking/qiskit-experiments | 11a254b010afe35933aaabac70de12b5b5a244bf | [
"Apache-2.0"
] | null | null | null | qiskit_experiments/library/quantum_volume/qv_experiment.py | spencerking/qiskit-experiments | 11a254b010afe35933aaabac70de12b5b5a244bf | [
"Apache-2.0"
] | 1 | 2021-06-20T10:32:16.000Z | 2021-06-20T10:32:16.000Z | # This code is part of Qiskit.
#
# (C) Copyright IBM 2021.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivative wo... | 40.05618 | 104 | 0.669705 |
acfea499400ea153aff5d4183c5b838cacd2b732 | 12,178 | py | Python | jiant/utils/data_loaders.py | sxjscience/jiant | 95bd488cd1318c33ca758b520b6fe3929bc4836b | [
"MIT"
] | 5 | 2021-10-09T07:37:32.000Z | 2022-03-09T08:46:32.000Z | jiant/utils/data_loaders.py | sxjscience/jiant | 95bd488cd1318c33ca758b520b6fe3929bc4836b | [
"MIT"
] | null | null | null | jiant/utils/data_loaders.py | sxjscience/jiant | 95bd488cd1318c33ca758b520b6fe3929bc4836b | [
"MIT"
] | 1 | 2019-09-08T22:13:55.000Z | 2019-09-08T22:13:55.000Z | """
Functions having to do with loading data from output of
files downloaded in scripts/download_data_glue.py
"""
import codecs
import csv
import json
import numpy as np
import pandas as pd
from allennlp.data import vocabulary
from jiant.utils.tokenizers import get_tokenizer
from jiant.utils.retokenize import realign... | 39.032051 | 100 | 0.651667 |
acfea4a2b24d2c4f9aa885eb87d5415dad911456 | 924 | py | Python | ns-allinone-3.27/ns-3.27/.waf-1.8.19-b1fc8f7baef51bd2db4c2971909a568d/waflib/Tools/gdc.py | zack-braun/4607_NS | 43c8fb772e5552fb44bd7cd34173e73e3fb66537 | [
"MIT"
] | 93 | 2019-04-21T08:22:26.000Z | 2022-03-30T04:26:29.000Z | ns-allinone-3.27/ns-3.27/.waf-1.8.19-b1fc8f7baef51bd2db4c2971909a568d/waflib/Tools/gdc.py | zack-braun/4607_NS | 43c8fb772e5552fb44bd7cd34173e73e3fb66537 | [
"MIT"
] | 12 | 2019-04-19T16:39:58.000Z | 2021-06-22T13:18:32.000Z | ns-allinone-3.27/ns-3.27/.waf-1.8.19-b1fc8f7baef51bd2db4c2971909a568d/waflib/Tools/gdc.py | zack-braun/4607_NS | 43c8fb772e5552fb44bd7cd34173e73e3fb66537 | [
"MIT"
] | 21 | 2019-05-27T19:36:12.000Z | 2021-07-26T02:37:41.000Z | #! /usr/bin/env python
# encoding: utf-8
# WARNING! Do not edit! https://waf.io/book/index.html#_obtaining_the_waf_file
from waflib.Tools import ar,d
from waflib.Configure import conf
@conf
def find_gdc(conf):
conf.find_program('gdc',var='D')
out=conf.cmd_and_log(conf.env.D+['--version'])
if out.find("gdc")==-1:
... | 25.666667 | 78 | 0.667749 |
acfea4f559b03906de0bb80d206a8437f1b0e6bb | 815 | py | Python | school_django/api/resources.py | gentiger55/django_react_school | 1f55fee562be7ad8b5220f09091ae4af3c2ab8c8 | [
"BSD-3-Clause"
] | 1 | 2018-12-16T15:46:11.000Z | 2018-12-16T15:46:11.000Z | school_django/api/resources.py | gentiger55/django_react_school | 1f55fee562be7ad8b5220f09091ae4af3c2ab8c8 | [
"BSD-3-Clause"
] | null | null | null | school_django/api/resources.py | gentiger55/django_react_school | 1f55fee562be7ad8b5220f09091ae4af3c2ab8c8 | [
"BSD-3-Clause"
] | null | null | null | from tastypie.resources import ModelResource
from tastypie import fields
from api.models import School, Statistics, User
from tastypie.authorization import Authorization
class SchoolResource(ModelResource):
class Meta:
queryset = School.objects.all()
resource_name = 'school'
authorization =... | 30.185185 | 62 | 0.700613 |
acfea582cb4c52a250ba6598015a1ce5057dc080 | 2,338 | py | Python | src/text-mining.py | anakinanakin/data-analysis | 28c0847d547fba43cbf4441764df370b89d6504f | [
"MIT"
] | null | null | null | src/text-mining.py | anakinanakin/data-analysis | 28c0847d547fba43cbf4441764df370b89d6504f | [
"MIT"
] | null | null | null | src/text-mining.py | anakinanakin/data-analysis | 28c0847d547fba43cbf4441764df370b89d6504f | [
"MIT"
] | null | null | null | # nltk's default stoplist:
from nltk.corpus import stopwords
stoplist = set(stopwords.words('english'))
import csv
import re
import nltk
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.pipeline import Pipeline
from sklearn.linear_model import SGDClassifier
train_data = []
with open('./Assign... | 25.977778 | 88 | 0.612062 |
acfea693f281b89349515b65e4fc2a6475d744e3 | 74 | py | Python | scripts/mango/relations/constants.py | robertjoosten/maya-orm | 9c5db622d5bbba63246ff1d3f0a22bd3f7140f6c | [
"MIT"
] | 11 | 2020-11-14T14:37:49.000Z | 2022-03-25T03:28:23.000Z | scripts/mango/relations/constants.py | robertjoosten/maya-orm | 9c5db622d5bbba63246ff1d3f0a22bd3f7140f6c | [
"MIT"
] | null | null | null | scripts/mango/relations/constants.py | robertjoosten/maya-orm | 9c5db622d5bbba63246ff1d3f0a22bd3f7140f6c | [
"MIT"
] | null | null | null | __all__ = [
"CASCADE",
"DO_NOTHING"
]
CASCADE = 0
DO_NOTHING = 1
| 9.25 | 16 | 0.581081 |
acfea6ff361247cc61851c261bf2691d2c761dec | 978 | py | Python | ticketus/core/migrations/0007_auto_20141228_0646.py | sjkingo/ticketus | 90f2781af9418e9e2c6470ca50c9a6af9ce098ff | [
"BSD-2-Clause"
] | 3 | 2019-02-09T10:52:55.000Z | 2021-09-19T14:14:36.000Z | ticketus/core/migrations/0007_auto_20141228_0646.py | sjkingo/ticketus | 90f2781af9418e9e2c6470ca50c9a6af9ce098ff | [
"BSD-2-Clause"
] | null | null | null | ticketus/core/migrations/0007_auto_20141228_0646.py | sjkingo/ticketus | 90f2781af9418e9e2c6470ca50c9a6af9ce098ff | [
"BSD-2-Clause"
] | 3 | 2018-03-04T18:05:02.000Z | 2021-09-19T14:14:38.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('core', '0006_auto_20141227_1735'),
]
operations = [
migrations.AlterField(
model_name='comment',
nam... | 25.076923 | 44 | 0.550102 |
acfea90a5075d69ec82579a5bacc35bbbe9e85f6 | 1,908 | py | Python | src/gtk/toga_gtk/widgets/scrollcontainer.py | simonw/toga | 8b52479c5d9960c5f3af960b5837ecc467c0bc95 | [
"BSD-3-Clause"
] | 3 | 2020-12-09T02:13:55.000Z | 2021-02-18T00:41:36.000Z | src/gtk/toga_gtk/widgets/scrollcontainer.py | simonw/toga | 8b52479c5d9960c5f3af960b5837ecc467c0bc95 | [
"BSD-3-Clause"
] | 1 | 2021-05-23T04:04:58.000Z | 2021-05-25T22:08:14.000Z | src/gtk/toga_gtk/widgets/scrollcontainer.py | simonw/toga | 8b52479c5d9960c5f3af960b5837ecc467c0bc95 | [
"BSD-3-Clause"
] | null | null | null | from ..libs import Gtk
from ..window import GtkViewport
from .base import Widget
class ScrollContainer(Widget):
def create(self):
self.native = Gtk.ScrolledWindow()
# Set this minimum size of scroll windows because we must reserve space for
# scrollbars when splitter resized. See, https:/... | 35.333333 | 96 | 0.680294 |
acfeaa9e7dc82e2688682aaf7073e736a360e591 | 549 | py | Python | day6-part1/main.py | KSonny4/advent-of-code-2021 | ca4cf2e94799174468950019a562ed9063001599 | [
"MIT"
] | 4 | 2021-12-02T21:17:43.000Z | 2021-12-05T22:15:28.000Z | day6-part1/main.py | KSonny4/advent-of-code-2021 | ca4cf2e94799174468950019a562ed9063001599 | [
"MIT"
] | null | null | null | day6-part1/main.py | KSonny4/advent-of-code-2021 | ca4cf2e94799174468950019a562ed9063001599 | [
"MIT"
] | null | null | null | def main():
with open("input.txt", encoding="utf-8") as f:
lanternfishes = map(int, f.read().split(","))
counter = 0
while counter != 80:
new_fish_list = []
for fish in lanternfishes:
if fish == 0:
new_fish_list.append(6) # fish gave birth
... | 24.954545 | 58 | 0.533698 |
acfeab3066d5658ec7b837c1159eaf0e0e32f886 | 37,312 | py | Python | python_packages_static/flopy/modflow/mflak.py | usgs/neversink_workflow | acd61435b8553e38d4a903c8cd7a3afc612446f9 | [
"CC0-1.0"
] | null | null | null | python_packages_static/flopy/modflow/mflak.py | usgs/neversink_workflow | acd61435b8553e38d4a903c8cd7a3afc612446f9 | [
"CC0-1.0"
] | null | null | null | python_packages_static/flopy/modflow/mflak.py | usgs/neversink_workflow | acd61435b8553e38d4a903c8cd7a3afc612446f9 | [
"CC0-1.0"
] | null | null | null | """
mflak module. Contains the ModflowLak class. Note that the user can access
the ModflowLak class as `flopy.modflow.ModflowLak`.
Additional information for this MODFLOW package can be found at the `Online
MODFLOW Guide
<http://water.usgs.gov/ogw/modflow/MODFLOW-2005-Guide/lak.htm>`_.
"""
import sys
import numpy as... | 39.44186 | 82 | 0.52254 |
acfeac4dce08e67da07979f139dce0917fc0b4b0 | 7,404 | py | Python | examples/parametertree.py | sneakers-the-rat/pyqtgraph | 65ef2a5a60a1a08d0106e819110528b2ca3499a3 | [
"MIT"
] | 150 | 2018-03-27T16:45:37.000Z | 2022-03-30T03:47:56.000Z | examples/parametertree.py | sneakers-the-rat/pyqtgraph | 65ef2a5a60a1a08d0106e819110528b2ca3499a3 | [
"MIT"
] | 34 | 2018-09-28T00:01:59.000Z | 2022-03-21T15:40:02.000Z | examples/parametertree.py | sneakers-the-rat/pyqtgraph | 65ef2a5a60a1a08d0106e819110528b2ca3499a3 | [
"MIT"
] | 40 | 2018-04-06T19:42:21.000Z | 2022-01-11T00:34:17.000Z | # -*- coding: utf-8 -*-
"""
This example demonstrates the use of pyqtgraph's parametertree system. This provides
a simple way to generate user interfaces that control sets of parameters. The example
demonstrates a variety of different parameter types (int, float, list, etc.)
as well as some customized parameter types
... | 39.806452 | 128 | 0.59873 |
acfeadd47a29a99bcf550b8f2f8ef032458c355b | 297 | py | Python | exercises/pt/exc_03_16_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/pt/exc_03_16_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/pt/exc_03_16_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | import spacy
nlp = spacy.load("en_core_web_sm")
text = (
"Chick-fil-A is an American fast food restaurant chain headquartered in "
"the city of College Park, Georgia, specializing in chicken sandwiches."
)
# Apenas toquenizar o texto
doc = nlp(text)
print([token.text for token in doc])
| 24.75 | 77 | 0.73064 |
acfeaf004dee0450bf95c1fc1afe6634d4c35921 | 3,809 | py | Python | ssm_cache/cache.py | benkehoe/ssm-cache-python | c21c536b7ba38494bfccafea311a853f50360609 | [
"MIT"
] | 1 | 2020-05-25T08:26:55.000Z | 2020-05-25T08:26:55.000Z | ssm_cache/cache.py | benkehoe/ssm-cache-python | c21c536b7ba38494bfccafea311a853f50360609 | [
"MIT"
] | null | null | null | ssm_cache/cache.py | benkehoe/ssm-cache-python | c21c536b7ba38494bfccafea311a853f50360609 | [
"MIT"
] | null | null | null | """ Cache module that implements the SSM caching wrapper """
from __future__ import print_function
from datetime import datetime, timedelta
from functools import wraps
from past.builtins import basestring
import boto3
class InvalidParam(Exception):
""" Raised when something's wrong with the provided param name ""... | 36.27619 | 80 | 0.592807 |
acfeb070bb783851d7cdf64520eff54c3f18b77f | 2,801 | py | Python | spacy_ixakat/ixakat.py | sarnthil/spaCy-ixaKat | 841e6d8938eca8e69ca620c85ba4f164dee4071f | [
"MIT"
] | null | null | null | spacy_ixakat/ixakat.py | sarnthil/spaCy-ixaKat | 841e6d8938eca8e69ca620c85ba4f164dee4071f | [
"MIT"
] | null | null | null | spacy_ixakat/ixakat.py | sarnthil/spaCy-ixaKat | 841e6d8938eca8e69ca620c85ba4f164dee4071f | [
"MIT"
] | 1 | 2022-02-07T07:29:07.000Z | 2022-02-07T07:29:07.000Z | #! /usr/bin/python3 -i
# coding=utf-8
import os
PACKAGE_DIR=os.path.abspath(os.path.dirname(__file__))
IXAKAT2UD=os.path.join(PACKAGE_DIR,"bin","ixakat2ud")
IXAKAT2CONLL=os.path.join(PACKAGE_DIR,"bin","ixakat2conll")
import numpy
from spacy.language import Language
from spacy.symbols import LANG,NORM,LEMMA,POS,TAG,DE... | 28.876289 | 128 | 0.656194 |
acfeb21c559d090f95c060819bfb25747b8b61ab | 7,354 | py | Python | pvn3d/lib/utils/etw_pytorch_utils/sacred_trainer.py | JiazeWang/PVN3D | 07241f5e0de488c123cd78f516a707bff207c2e0 | [
"MIT"
] | 369 | 2019-11-12T08:27:08.000Z | 2022-03-28T08:33:14.000Z | pvn3d/lib/utils/etw_pytorch_utils/sacred_trainer.py | hansongfang/PVN3D | 1f0216505faa543ac2367cf485e0703cabcaefa0 | [
"MIT"
] | 99 | 2019-11-27T12:48:49.000Z | 2022-03-23T07:15:24.000Z | pvn3d/lib/utils/etw_pytorch_utils/sacred_trainer.py | hansongfang/PVN3D | 1f0216505faa543ac2367cf485e0703cabcaefa0 | [
"MIT"
] | 102 | 2019-11-20T13:14:16.000Z | 2022-03-31T08:05:29.000Z | from __future__ import (
division,
absolute_import,
with_statement,
print_function,
unicode_literals,
)
import torch
import torch.nn as nn
import numpy as np
import tqdm
import sacred
import os.path as osp
from .pytorch_utils import checkpoint_state
if False:
# Workaround for type hints witho... | 30.89916 | 120 | 0.517677 |
acfeb26ca7caa7037547df8edbf11277d5b807f6 | 439 | py | Python | Mi_comida_favorita.py | rmanuel34/Programacion- | 681b3912b88f7c839d1240b2f6f3b6d72adab6cf | [
"Apache-2.0"
] | null | null | null | Mi_comida_favorita.py | rmanuel34/Programacion- | 681b3912b88f7c839d1240b2f6f3b6d72adab6cf | [
"Apache-2.0"
] | null | null | null | Mi_comida_favorita.py | rmanuel34/Programacion- | 681b3912b88f7c839d1240b2f6f3b6d72adab6cf | [
"Apache-2.0"
] | null | null | null | comidas["pizza", "hamburguesa", "costilla agridulce", "hot dog", "pollo asado", "arroz chino", "papas fitas", "ensalada de papas", "pastelitos de maseca", "pastelitos de harina", "carne ala plancha", "carna asada", "bistec", "camarones empanizados", "lasaña", "sopa marinera", "ceviche", "pollo frito", "baleadas", "aros... | 73.166667 | 335 | 0.70615 |
acfeb27b04f0f486a4c98dcf0eacd20a3afa785c | 1,264 | py | Python | models/simple.py | MetroStar/bitnest | a8d9cef5a17a5366e088a774ae951a0f06f97ae7 | [
"MIT"
] | 4 | 2021-09-16T21:33:13.000Z | 2022-01-18T22:05:57.000Z | models/simple.py | MetroStar/bitnest | a8d9cef5a17a5366e088a774ae951a0f06f97ae7 | [
"MIT"
] | 1 | 2021-12-02T03:47:45.000Z | 2021-12-02T03:47:45.000Z | models/simple.py | MetroStar/bitnest | a8d9cef5a17a5366e088a774ae951a0f06f97ae7 | [
"MIT"
] | null | null | null | from bitnest.field import (
Struct,
UnsignedInteger,
Bits,
Union,
FieldReference,
Vector,
)
class CommandWord(Struct):
name = "CommandWord"
fields = [
UnsignedInteger("remote_terminal_address", 5),
UnsignedInteger("number_of_words", 3),
]
class DataWord(Struct):
... | 19.446154 | 82 | 0.630538 |
acfeb2a254a25061925adb8675aa8b82a244d39c | 10,351 | py | Python | wandb/run-20210412_003525-5km65f5j/files/code/main.py | ccoltong1215/simple-lenet5-torch-mnist | 3eaa25160525f89dd6b9fe1db5de26a2bfda2fea | [
"MIT"
] | null | null | null | wandb/run-20210412_003525-5km65f5j/files/code/main.py | ccoltong1215/simple-lenet5-torch-mnist | 3eaa25160525f89dd6b9fe1db5de26a2bfda2fea | [
"MIT"
] | 5 | 2021-09-08T03:09:50.000Z | 2022-03-12T00:56:43.000Z | wandb/run-20210412_003525-5km65f5j/files/code/main.py | ccoltong1215/simple-lenet5-torch-mnist | 3eaa25160525f89dd6b9fe1db5de26a2bfda2fea | [
"MIT"
] | null | null | null |
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import DataLoader
from dataset import Dataset
from model import LeNet5, CustomMLP,LeNet5_regulized
import numpy as np
import matplotlib.pyplot as plt
import wandb
def train(model, trn_loader, device, criterion, optimizer,epoch,model... | 42.950207 | 190 | 0.632113 |
acfeb2c87eca12ab7566379f135d0e6c647eb2cd | 2,651 | py | Python | neuro_pypes/tests/test__utils.py | Neurita/pypes | e88d27ebba842e8fa1f36b52ca12a0b9d5777e89 | [
"Apache-2.0"
] | 14 | 2015-11-30T19:32:08.000Z | 2021-11-16T05:35:20.000Z | neuro_pypes/tests/test__utils.py | Neurita/pypes | e88d27ebba842e8fa1f36b52ca12a0b9d5777e89 | [
"Apache-2.0"
] | 42 | 2015-11-28T23:18:42.000Z | 2021-02-23T01:45:02.000Z | neuro_pypes/tests/test__utils.py | Neurita/pypes | e88d27ebba842e8fa1f36b52ca12a0b9d5777e89 | [
"Apache-2.0"
] | 9 | 2015-12-09T17:10:59.000Z | 2022-01-03T17:26:40.000Z | # -*- coding: utf-8 -*-
from neuro_pypes._utils import format_pair_list
def test_format_pair_list():
anat_fbasename = 'anat_hc'
regexp_subst = [
(r"/{anat}_.*corrected_seg8.mat$", "/{anat}_to_mni_affine.mat"),
(r"/m{anat}.*_corrected.nii$", "/{anat}_biascorrecte... | 61.651163 | 92 | 0.423991 |
acfeb534f571b1bcf6b6184ecfb06bc128c3ad4e | 1,443 | py | Python | actions/tests/test_scale.py | jubelcassio/ImageProcessing | ebf8f0bfb1613dea1c0d0008c26cbfc970b98d45 | [
"MIT"
] | null | null | null | actions/tests/test_scale.py | jubelcassio/ImageProcessing | ebf8f0bfb1613dea1c0d0008c26cbfc970b98d45 | [
"MIT"
] | 6 | 2018-08-21T17:34:23.000Z | 2019-01-26T15:31:21.000Z | actions/tests/test_scale.py | jubelcassio/ImageProcessing | ebf8f0bfb1613dea1c0d0008c26cbfc970b98d45 | [
"MIT"
] | null | null | null | import argparse
from actions import scale
from PIL import Image
def test_parse():
main_parser = argparse.ArgumentParser()
subparsers = main_parser.add_subparsers()
scale.subparser(subparsers)
args = ["scale", "image.jpg", "2"]
result = {"command": "scale", "path": "image.jpg", "scalar": 2,
... | 32.795455 | 78 | 0.587665 |
acfeb5ef19241a5fbf0e2b3752f12509dfc226de | 426 | py | Python | mergelists.py | ormiret/badwords | eda5159d081e4c2ffa3f63973f739cca6afac624 | [
"BSD-2-Clause"
] | 1 | 2021-08-02T07:49:18.000Z | 2021-08-02T07:49:18.000Z | mergelists.py | ormiret/badwords | eda5159d081e4c2ffa3f63973f739cca6afac624 | [
"BSD-2-Clause"
] | null | null | null | mergelists.py | ormiret/badwords | eda5159d081e4c2ffa3f63973f739cca6afac624 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
#word compile and sort
#usage: mergelists.py firstlistfile secondlistfile
import sys
with open(sys.argv[1],'r') as f:
first = f.readlines()
with open(sys.argv[2],'r') as f:
second = f.readlines()
final_list = sorted(list(set(first) | set(second)))
new_file_name = (sys.argv[1] + "-" + sys.arg... | 21.3 | 77 | 0.666667 |
acfeb624c370c851eee430a885ef4bd3f0ce0a1b | 53,431 | py | Python | home/views.py | NachiketaDhal/Ed-Flix | b4f806a2492a9894b30f50ea07700ec2d9b8d390 | [
"MIT"
] | 6 | 2021-02-28T06:12:22.000Z | 2021-02-28T19:13:00.000Z | home/views.py | NachiketaDhal/Ed-Flix | b4f806a2492a9894b30f50ea07700ec2d9b8d390 | [
"MIT"
] | 3 | 2021-02-27T21:36:43.000Z | 2021-03-01T14:53:53.000Z | home/views.py | NachiketaDhal/Ed-Flix | b4f806a2492a9894b30f50ea07700ec2d9b8d390 | [
"MIT"
] | 9 | 2020-11-20T07:24:02.000Z | 2021-05-02T06:01:07.000Z | from django.http.response import HttpResponse, JsonResponse
from django.shortcuts import render, redirect
from django.contrib.auth.decorators import login_required
from django.core.files.storage import FileSystemStorage
from api.models import FileUpload
from accounts.models import DocViews
# Create your views here.
S... | 61.984919 | 1,059 | 0.581142 |
acfeb671cec0617ecf7e9a324de1bbba433c4f7d | 75 | py | Python | dbsettings/__init__.py | johnpaulett/django-dbsettings | 87465bdfebf8b6546212f987748111f33b80fbd4 | [
"BSD-3-Clause"
] | null | null | null | dbsettings/__init__.py | johnpaulett/django-dbsettings | 87465bdfebf8b6546212f987748111f33b80fbd4 | [
"BSD-3-Clause"
] | null | null | null | dbsettings/__init__.py | johnpaulett/django-dbsettings | 87465bdfebf8b6546212f987748111f33b80fbd4 | [
"BSD-3-Clause"
] | null | null | null | from dbsettings.values import * # NOQA
from dbsettings.group import Group
| 25 | 39 | 0.8 |
acfeb679100096f3e0ee974a1a9a59c516b3e15a | 10,555 | py | Python | analysis/sahadiagonalfault.py | aewag/archie | 65770d9e489112040e8cb4950c3612e508528e12 | [
"Apache-2.0"
] | null | null | null | analysis/sahadiagonalfault.py | aewag/archie | 65770d9e489112040e8cb4950c3612e508528e12 | [
"Apache-2.0"
] | null | null | null | analysis/sahadiagonalfault.py | aewag/archie | 65770d9e489112040e8cb4950c3612e508528e12 | [
"Apache-2.0"
] | null | null | null | # Implementation of the differential fault attack for the M0 fault model
#
# For a description of this attack see:
# Dhiman Saha, Debdeep Mukhopadhyay and Dipanwita Roy Chowdhury
# A Diagonal Fault Attack on the Advanced Encryption Standard.
# IACR Cryptology ePrint Archive, 581, 2009.
#
# input: faulty cipher texts an... | 44.914894 | 139 | 0.62937 |
acfeb68ee745d3d7d7b1986e54c5c55737c943b0 | 9,787 | py | Python | autoarray/plot/imaging_plots.py | Sketos/PyAutoArray | 72dc7e8d1c38786915f82a7e7284239e5ce87624 | [
"MIT"
] | null | null | null | autoarray/plot/imaging_plots.py | Sketos/PyAutoArray | 72dc7e8d1c38786915f82a7e7284239e5ce87624 | [
"MIT"
] | null | null | null | autoarray/plot/imaging_plots.py | Sketos/PyAutoArray | 72dc7e8d1c38786915f82a7e7284239e5ce87624 | [
"MIT"
] | null | null | null | from autoarray.plot import plotters
@plotters.set_include_and_sub_plotter
@plotters.set_subplot_filename
def subplot_imaging(
imaging, grid=None, mask=None, positions=None, include=None, sub_plotter=None
):
"""Plot the imaging data_type as a sub-plotters of all its quantites (e.g. the dataset, noise_map-map, ... | 31.775974 | 134 | 0.697047 |
acfeb6e521e29b825a0c66be210109a53d2986f0 | 2,044 | py | Python | fedn/fedn/common/security/certificatemanager.py | eriks-aidotse/fedn | ab784e6ac45fd02be4532c9bbc8d5b8c75b62d51 | [
"Apache-2.0"
] | 75 | 2020-07-19T10:40:15.000Z | 2022-03-13T06:56:04.000Z | fedn/fedn/common/security/certificatemanager.py | eriks-aidotse/fedn | ab784e6ac45fd02be4532c9bbc8d5b8c75b62d51 | [
"Apache-2.0"
] | 124 | 2020-07-27T18:16:21.000Z | 2022-03-10T12:16:04.000Z | fedn/fedn/common/security/certificatemanager.py | eriks-aidotse/fedn | ab784e6ac45fd02be4532c9bbc8d5b8c75b62d51 | [
"Apache-2.0"
] | 28 | 2020-08-14T19:39:30.000Z | 2022-03-16T10:29:09.000Z | from .certificate import Certificate
class CertificateManager:
"""
"""
def __init__(self, directory):
self.directory = directory
self.certificates = []
self.allowed = dict()
self.load_all()
def get_or_create(self, name):
"""
:param name:
:re... | 27.253333 | 115 | 0.508317 |
acfeb7592bac5462ed6a7b456c76f64d601e1fdd | 84,190 | py | Python | tensorflow_federated/python/core/impl/compiler/building_block_factory.py | ixcc/federated | 3fb48ae6d019ee763c5112d23c3bdbcbaea17948 | [
"Apache-2.0"
] | 1 | 2020-01-13T02:51:38.000Z | 2020-01-13T02:51:38.000Z | tensorflow_federated/python/core/impl/compiler/building_block_factory.py | ixcc/federated | 3fb48ae6d019ee763c5112d23c3bdbcbaea17948 | [
"Apache-2.0"
] | null | null | null | tensorflow_federated/python/core/impl/compiler/building_block_factory.py | ixcc/federated | 3fb48ae6d019ee763c5112d23c3bdbcbaea17948 | [
"Apache-2.0"
] | null | null | null | # Lint as: python3
# Copyright 2019, The TensorFlow Federated Authors.
#
# 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 ... | 42.031952 | 92 | 0.716356 |
acfeb856a7fa7e64493bda2cf5f627e594135cb9 | 1,881 | py | Python | julia/static.py | arcturus5340/julia | 6bb7b6e956edc9b16f773926978679dd6031e959 | [
"MIT"
] | 13 | 2018-10-20T17:31:00.000Z | 2022-03-06T23:02:48.000Z | julia/static.py | arcturus5340/julia | 6bb7b6e956edc9b16f773926978679dd6031e959 | [
"MIT"
] | 4 | 2019-10-08T18:24:38.000Z | 2021-06-10T20:06:26.000Z | julia/static.py | arcturus5340/julia | 6bb7b6e956edc9b16f773926978679dd6031e959 | [
"MIT"
] | 6 | 2018-10-29T00:58:55.000Z | 2020-03-25T14:02:18.000Z | import mimetypes
import posixpath
from pathlib import Path
from django.http import (
FileResponse, Http404, HttpResponseNotModified,
)
from django.utils._os import safe_join
from django.utils.http import http_date
from django.views import static
from django.utils import timezone
from django.core.exceptions import ... | 40.021277 | 116 | 0.738969 |
acfeb8f4c2a1c7754050e2ebce47e60170850355 | 2,065 | py | Python | base/pylib/tuple.py | brownplt/lambda-py | c3ee39502c8953d36b886e5a203f2eb51d2f495b | [
"Apache-2.0"
] | 25 | 2015-04-16T04:31:49.000Z | 2022-03-10T15:53:28.000Z | base/pylib/tuple.py | brownplt/lambda-py | c3ee39502c8953d36b886e5a203f2eb51d2f495b | [
"Apache-2.0"
] | 1 | 2018-11-21T22:40:02.000Z | 2018-11-26T17:53:11.000Z | base/pylib/tuple.py | brownplt/lambda-py | c3ee39502c8953d36b886e5a203f2eb51d2f495b | [
"Apache-2.0"
] | 1 | 2021-03-26T03:36:19.000Z | 2021-03-26T03:36:19.000Z |
class tuple(object):
def __new__(self, *args):
if ___delta("num=", args.__len__(), 0):
return ()
else:
first_arg = ___delta("tuple-getitem", args, 0)
return first_arg.__tuple__()
def __init__(self, *args):
pass
def __len__(self):
int = ___id("%int")
return ___delta("tuple-... | 23.202247 | 52 | 0.588862 |
acfeb9f14c20850d1fb9ea3a7cab45a30c8d3b2c | 6,890 | py | Python | tests/test_anomaly_functionsv2.py | Agnarsh/functions | 64a408ecf55773f38c5ce3b2fe75119e7235e9c9 | [
"Apache-2.0"
] | null | null | null | tests/test_anomaly_functionsv2.py | Agnarsh/functions | 64a408ecf55773f38c5ce3b2fe75119e7235e9c9 | [
"Apache-2.0"
] | null | null | null | tests/test_anomaly_functionsv2.py | Agnarsh/functions | 64a408ecf55773f38c5ce3b2fe75119e7235e9c9 | [
"Apache-2.0"
] | null | null | null | # *****************************************************************************
# © Copyright IBM Corp. 2018. All Rights Reserved.
#
# This program and the accompanying materials
# are made available under the terms of the Apache V2.0 license
# which accompanies this distribution, and is available at
# http://www.apac... | 35.515464 | 99 | 0.688534 |
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