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4a102362397af8fb5c0a1ce280ddc752356d7ab2 | 4,840 | py | Python | cipher/process_multitask.py | kaczmarj/cipher | e1ad5bb4ca86a7c45f54bb4fdb6f05d6c4a1b1a9 | [
"MIT"
] | null | null | null | cipher/process_multitask.py | kaczmarj/cipher | e1ad5bb4ca86a7c45f54bb4fdb6f05d6c4a1b1a9 | [
"MIT"
] | null | null | null | cipher/process_multitask.py | kaczmarj/cipher | e1ad5bb4ca86a7c45f54bb4fdb6f05d6c4a1b1a9 | [
"MIT"
] | null | null | null | """
This script will take the following arguments in the command line, import helper
functions from an external script, and conduct all preprocessing steps
Parameters:
-----------
metadata: str
location for metadata table containing experiment information
data_dir: str
directory containing corresponding sequen... | 30.440252 | 88 | 0.651033 |
4a10244368b2afb1e88e770cad4cacbab409fc36 | 8,304 | py | Python | setup.py | dnaveenr/datasets | f144ba69aee057e9e1447796712302adc3d6558a | [
"Apache-2.0"
] | null | null | null | setup.py | dnaveenr/datasets | f144ba69aee057e9e1447796712302adc3d6558a | [
"Apache-2.0"
] | null | null | null | setup.py | dnaveenr/datasets | f144ba69aee057e9e1447796712302adc3d6558a | [
"Apache-2.0"
] | null | null | null | # Lint as: python3
""" HuggingFace/Datasets is an open library of datasets.
Note:
VERSION needs to be formatted following the MAJOR.MINOR.PATCH convention
(we need to follow this convention to be able to retrieve versioned scripts)
Simple check list for release from AllenNLP repo: https://github.com/allenai/al... | 31.574144 | 129 | 0.645352 |
4a10245e274ca2fa0f82248ba13daab998aa1510 | 1,736 | py | Python | code/a.py | PaulRenauld/k-mean-cuda | 3a905e875e3f2f80e4087ef142d100c7c1d86180 | [
"MIT"
] | null | null | null | code/a.py | PaulRenauld/k-mean-cuda | 3a905e875e3f2f80e4087ef142d100c7c1d86180 | [
"MIT"
] | null | null | null | code/a.py | PaulRenauld/k-mean-cuda | 3a905e875e3f2f80e4087ef142d100c7c1d86180 | [
"MIT"
] | null | null | null | import sys
import matplotlib.pyplot as plt
if __name__ == '__main__':
f1 = "../results/n100000k50.csv"
f2 = "../results/n100000k50a.csv"
y_col = 1
x1_buf = []
x2_buf = []
y1_buf = []
y2_buf = []
with open(f1) as file1:
with open(f2) as file2:
lines1 = file1.readlines... | 35.428571 | 99 | 0.521889 |
4a1024eca226a73fb9d6e97b0f88955ef27d860d | 443 | py | Python | pb2.4/run_google24.py | bumptech/cypb | e3bff4757d86ab8b8b99f6be2352549c180999c3 | [
"BSD-3-Clause"
] | 2 | 2021-01-03T17:03:41.000Z | 2021-06-14T17:38:33.000Z | pb2.4/run_google24.py | bumptech/cypb | e3bff4757d86ab8b8b99f6be2352549c180999c3 | [
"BSD-3-Clause"
] | null | null | null | pb2.4/run_google24.py | bumptech/cypb | e3bff4757d86ab8b8b99f6be2352549c180999c3 | [
"BSD-3-Clause"
] | 1 | 2021-01-13T11:16:34.000Z | 2021-01-13T11:16:34.000Z |
import time
import connexiopb
from connexio_pb2 import *
msg = "CiAKBUF0YXNoGghBdGFtdXJhZCINSGV6cmV0a3VsaXlldioUChJhdGFteXJhdEBnbWFpbC5jb20q\nFAoSYXRhbXVyYWRAY29ubmV4LmlvKhQKEmF0YW11cmFkQGdtYWlsLmNvbTIOCgwrOTkzNjc2NDI2\nNDIyDgoMKzk5MzEyMjcwMjAzYh50aGlzIGlzIG5vdGUgZmllbGQgZm9yIGNvbnRhY3Q=\n".decode("base64")
start = ... | 26.058824 | 251 | 0.835214 |
4a102629af76facf5aaa672ee52027e95f45c43f | 14,025 | py | Python | dev.py | Schrodinger1926/Project-4 | 3a5a79529d141895031ce7007e1119d02d2e0ce0 | [
"MIT"
] | null | null | null | dev.py | Schrodinger1926/Project-4 | 3a5a79529d141895031ce7007e1119d02d2e0ce0 | [
"MIT"
] | null | null | null | dev.py | Schrodinger1926/Project-4 | 3a5a79529d141895031ce7007e1119d02d2e0ce0 | [
"MIT"
] | null | null | null | import sys
import os
import numpy as np
import cv2
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
from moviepy.editor import VideoFileClip
IMG_INPUT_DIR = 'test_images'
IMG_OUTPUT_DIR = 'test_images'
CALIB_DATA_DIR = 'camera_cal'
RND_DIR = 'rnd'
M, Minv = None, None
def get_img_points(img_abs_path... | 34.715347 | 158 | 0.654046 |
4a102686355f01e24a42730f62ab9bd096cac652 | 2,815 | py | Python | cirq-core/cirq/contrib/paulistring/pauli_string_optimize.py | Nexuscompute/Cirq | 640ef8f82d6a56ec95361388ce7976e096cca906 | [
"Apache-2.0"
] | null | null | null | cirq-core/cirq/contrib/paulistring/pauli_string_optimize.py | Nexuscompute/Cirq | 640ef8f82d6a56ec95361388ce7976e096cca906 | [
"Apache-2.0"
] | 4 | 2022-01-16T14:12:15.000Z | 2022-02-24T03:58:46.000Z | cirq-core/cirq/contrib/paulistring/pauli_string_optimize.py | Nexuscompute/Cirq | 640ef8f82d6a56ec95361388ce7976e096cca906 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 The Cirq Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | 38.561644 | 97 | 0.728242 |
4a1026a3dcc69dc3d3616fbdc94627c1ba6847ce | 1,470 | py | Python | scripts/cleanup_datasets/remove_renamed_datasets_from_disk.py | igorhollaender/sirv_dashboard | 85aec60b80ef6f561d89398e3da5963d3d0f2aa4 | [
"CC-BY-3.0"
] | 2 | 2018-10-14T16:42:39.000Z | 2018-10-14T16:42:41.000Z | scripts/cleanup_datasets/remove_renamed_datasets_from_disk.py | igorhollaender/OBSOLETE_sirv_dashboard | 85aec60b80ef6f561d89398e3da5963d3d0f2aa4 | [
"CC-BY-3.0"
] | null | null | null | scripts/cleanup_datasets/remove_renamed_datasets_from_disk.py | igorhollaender/OBSOLETE_sirv_dashboard | 85aec60b80ef6f561d89398e3da5963d3d0f2aa4 | [
"CC-BY-3.0"
] | null | null | null | #!/usr/bin/env python
"""
Removes a dataset file ( which was first renamed by appending _purged to the file name ) from disk.
Usage: python remove_renamed_datasets_from_disk.py renamed.log
"""
import os
import sys
assert sys.version_info[:2] >= ( 2, 4 )
def usage(prog) :
print "usage: %s file" % prog
print ... | 29.4 | 105 | 0.606122 |
4a10283533154e55905b5c45d4a14f88ff89e5a3 | 19,802 | py | Python | modules/pytket-honeywell/pytket/extensions/honeywell/backends/api_wrappers.py | CQCL/pytket-extensions | 45d36ff16636a194046c37e64060164611559d19 | [
"Apache-2.0"
] | 22 | 2021-03-02T15:17:22.000Z | 2022-03-20T21:17:10.000Z | modules/pytket-honeywell/pytket/extensions/honeywell/backends/api_wrappers.py | CQCL/pytket-extensions | 45d36ff16636a194046c37e64060164611559d19 | [
"Apache-2.0"
] | 132 | 2021-03-03T08:30:05.000Z | 2022-03-31T21:11:58.000Z | modules/pytket-honeywell/pytket/extensions/honeywell/backends/api_wrappers.py | CQCL/pytket-extensions | 45d36ff16636a194046c37e64060164611559d19 | [
"Apache-2.0"
] | 13 | 2021-03-05T17:01:19.000Z | 2022-03-17T15:38:02.000Z | # -*- coding: utf-8 -*-
""""
Functions used to submit jobs with Honeywell Quantum Solutions API.
Adapted from original file provided by Honeywell Quantum Solutions
"""
import datetime
import time
from http import HTTPStatus
from typing import Optional, Dict, Any, Tuple
import asyncio
import json
import getpass
import... | 35.172291 | 89 | 0.551055 |
4a1028ebe509064e9d636e8e8da08896df084436 | 74,077 | py | Python | scipy/stats/tests/test_distributions.py | jetuk/scipy | 8a9310265464d81d51a56baf499336cf07acc8e5 | [
"BSD-3-Clause"
] | null | null | null | scipy/stats/tests/test_distributions.py | jetuk/scipy | 8a9310265464d81d51a56baf499336cf07acc8e5 | [
"BSD-3-Clause"
] | null | null | null | scipy/stats/tests/test_distributions.py | jetuk/scipy | 8a9310265464d81d51a56baf499336cf07acc8e5 | [
"BSD-3-Clause"
] | 1 | 2019-08-13T21:23:57.000Z | 2019-08-13T21:23:57.000Z | """ Test functions for stats module
"""
from __future__ import division, print_function, absolute_import
import warnings
import re
import sys
from numpy.testing import (TestCase, run_module_suite, assert_equal,
assert_array_equal, assert_almost_equal, assert_array_almost_equal,
assert_allclose, assert_, asse... | 37.48836 | 86 | 0.588928 |
4a10291c430e69e2696c7a5be61e579fe8f8b483 | 4,176 | py | Python | glomeruli_segmentation/api_interface.py | theodore-evans/hubmap-kidney-segmentation | 7842655d49080be28682a9cf0394bcbe53172ddc | [
"MIT"
] | null | null | null | glomeruli_segmentation/api_interface.py | theodore-evans/hubmap-kidney-segmentation | 7842655d49080be28682a9cf0394bcbe53172ddc | [
"MIT"
] | null | null | null | glomeruli_segmentation/api_interface.py | theodore-evans/hubmap-kidney-segmentation | 7842655d49080be28682a9cf0394bcbe53172ddc | [
"MIT"
] | null | null | null | from io import BytesIO
from logging import Logger
from typing import Tuple, Type, Union
import desert
from aiohttp import ClientSession, TCPConnector
from marshmallow import EXCLUDE
from PIL import Image
from glomeruli_segmentation.aiohttp_hooks import get_logging_hooks
from glomeruli_segmentation.data_classes import... | 34.8 | 143 | 0.633142 |
4a10295b92dd20b77d763cfd6182b90950f823e4 | 1,599 | py | Python | src/pipe/pipe.py | Ochmar/kivy_floppy_bird | 0ef38ecc7b160e723dbb99cf6d71dba0024b0836 | [
"MIT"
] | null | null | null | src/pipe/pipe.py | Ochmar/kivy_floppy_bird | 0ef38ecc7b160e723dbb99cf6d71dba0024b0836 | [
"MIT"
] | null | null | null | src/pipe/pipe.py | Ochmar/kivy_floppy_bird | 0ef38ecc7b160e723dbb99cf6d71dba0024b0836 | [
"MIT"
] | null | null | null | from kivy.uix.widget import Widget
from kivy.properties import NumericProperty, ObjectProperty, ListProperty
from kivy.uix.image import Image
from kivy.clock import Clock
class Pipe(Widget):
GAP_SIZE = NumericProperty(100)
CAP_SIZE = NumericProperty(20)
pipe_center = NumericProperty(0)
bottom_body_pos... | 35.533333 | 79 | 0.693558 |
4a102a037ec43a6ba7dabf95381c352ed0fe2ce0 | 2,296 | py | Python | src/GimelStudio/corenodes/blend/composite_node.py | iwoithe/Gimel-Studio | e2750576e72edee6f2f4c268045b81459df82d89 | [
"Apache-2.0"
] | 47 | 2020-05-22T09:10:05.000Z | 2021-04-08T06:27:50.000Z | src/GimelStudio/corenodes/blend/composite_node.py | iwoithe/Gimel-Studio | e2750576e72edee6f2f4c268045b81459df82d89 | [
"Apache-2.0"
] | 24 | 2020-08-26T13:51:10.000Z | 2021-04-18T01:41:51.000Z | src/GimelStudio/corenodes/blend/composite_node.py | iwoithe/Gimel-Studio | e2750576e72edee6f2f4c268045b81459df82d89 | [
"Apache-2.0"
] | 9 | 2020-08-16T14:27:14.000Z | 2021-02-17T19:04:34.000Z | # THIS FILE IS A PART OF GIMEL STUDIO AND IS LICENSED UNDER THE SAME TERMS:
# ----------------------------------------------------------------------------
# Gimel Studio Copyright 2019-2021 by Noah Rahm and contributors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file exce... | 35.875 | 99 | 0.630662 |
4a102aaceb9253ea6edf5251bb0d6ce384f17c25 | 25,148 | py | Python | analysis/webservice/algorithms_spark/TimeSeriesSpark.py | tloubrieu-jpl/incubator-sdap-nexus | 5bf903f04f12eb27f25ea2aa738c617ca404a87b | [
"Apache-2.0"
] | 1 | 2019-11-25T18:49:26.000Z | 2019-11-25T18:49:26.000Z | analysis/webservice/algorithms_spark/TimeSeriesSpark.py | ifenty/incubator-sdap-nexus | 3059c66f53d3f3d24c74d557c7632bdcc7f1eeec | [
"Apache-2.0"
] | null | null | null | analysis/webservice/algorithms_spark/TimeSeriesSpark.py | ifenty/incubator-sdap-nexus | 3059c66f53d3f3d24c74d557c7632bdcc7f1eeec | [
"Apache-2.0"
] | null | null | null | # Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use ... | 43.965035 | 180 | 0.562589 |
4a102b1ac6c5d339c6ed016a53f757c9e9d82a9b | 309 | py | Python | italian_csv_type_prediction/features/feature.py | LucaCappelletti94/italian_csv_type_prediction | a6332c4fd5b29d3b52e9b940fe964c9fffa2b3b4 | [
"MIT"
] | null | null | null | italian_csv_type_prediction/features/feature.py | LucaCappelletti94/italian_csv_type_prediction | a6332c4fd5b29d3b52e9b940fe964c9fffa2b3b4 | [
"MIT"
] | 1 | 2021-02-24T11:01:06.000Z | 2021-02-24T11:01:06.000Z | italian_csv_type_prediction/features/feature.py | LucaCappelletti94/italian_csv_type_prediction | a6332c4fd5b29d3b52e9b940fe964c9fffa2b3b4 | [
"MIT"
] | null | null | null | class Feature:
"""A text related feature."""
@property
def name(self):
"""Return type identified by this predictor."""
return self.__class__.__name__[:-4]
def score(self, value)->float:
raise NotImplementedError("This method must be implemented in children classes.") | 30.9 | 89 | 0.656958 |
4a102ce9001a95136a4bbcc87204cf7de7bed6bd | 1,845 | py | Python | pdx-base/usr/share/pdx/python/pdx-poweroff.py | hoopsurfer/pdxnew | 8fd71916b6fbf1f020c409a206e34573784e528f | [
"Apache-2.0"
] | 10 | 2020-01-29T16:11:30.000Z | 2021-05-29T11:43:57.000Z | pdx-base/usr/share/pdx/python/pdx-poweroff.py | hoopsurfer/pdxnew | 8fd71916b6fbf1f020c409a206e34573784e528f | [
"Apache-2.0"
] | 2 | 2020-02-02T08:59:35.000Z | 2020-09-12T20:42:06.000Z | pdx-base/usr/share/pdx/python/pdx-poweroff.py | hoopsurfer/pdxnew | 8fd71916b6fbf1f020c409a206e34573784e528f | [
"Apache-2.0"
] | 4 | 2020-02-13T21:15:55.000Z | 2020-05-07T15:33:21.000Z | #!/user/bin/env python
# pdx-poweroff.py - oneshot service so do your thing and exit
#
# We are in poweroff processing because shutdown has started for whatever reason.
# This code can do any needed poweroff specific processing for power management.
# The critical activity is a long press of the power button through G... | 34.811321 | 81 | 0.746883 |
4a102d0cc2ac15e2bcd2c2bf8fcc400a592cc288 | 111,365 | py | Python | tests/cache/tests.py | danhayden/django | 49b470b9187b6be60e573fed08c8f4a87f133750 | [
"BSD-3-Clause",
"0BSD"
] | 2 | 2021-12-17T07:27:44.000Z | 2021-12-17T19:16:52.000Z | tests/cache/tests.py | danhayden/django | 49b470b9187b6be60e573fed08c8f4a87f133750 | [
"BSD-3-Clause",
"0BSD"
] | 6 | 2022-01-13T17:38:02.000Z | 2022-03-15T15:24:12.000Z | tests/cache/tests.py | danhayden/django | 49b470b9187b6be60e573fed08c8f4a87f133750 | [
"BSD-3-Clause",
"0BSD"
] | 2 | 2020-01-01T18:36:17.000Z | 2022-02-21T14:00:56.000Z | # Unit tests for cache framework
# Uses whatever cache backend is set in the test settings file.
import copy
import io
import os
import pickle
import re
import shutil
import sys
import tempfile
import threading
import time
import unittest
from pathlib import Path
from unittest import mock, skipIf
from django.conf impo... | 38.099555 | 88 | 0.626085 |
4a102d3616f0c455be159f217c9ddd40b3d9710d | 39,321 | py | Python | get_together/views/events.py | thiagoferreiraw/GetTogether | 0cfa2bcf0915dd03ed5e5b9fab641b058eee1ca3 | [
"BSD-2-Clause"
] | null | null | null | get_together/views/events.py | thiagoferreiraw/GetTogether | 0cfa2bcf0915dd03ed5e5b9fab641b058eee1ca3 | [
"BSD-2-Clause"
] | null | null | null | get_together/views/events.py | thiagoferreiraw/GetTogether | 0cfa2bcf0915dd03ed5e5b9fab641b058eee1ca3 | [
"BSD-2-Clause"
] | null | null | null | from django.utils.translation import ugettext_lazy as _
from django.utils.safestring import mark_safe
from django.contrib import messages
from django.contrib.auth.models import User
from django.contrib.auth.decorators import login_required
from django.shortcuts import render, redirect, reverse, get_object_or_404
from ... | 40.789419 | 159 | 0.643091 |
4a102d71d0b862c8bd7a54f36b0f0722b30a51eb | 4,361 | py | Python | src/planning/settings/base.py | stuttup/planning | 0932a6af171a616ad3de50c343aed417ee25a222 | [
"MIT"
] | null | null | null | src/planning/settings/base.py | stuttup/planning | 0932a6af171a616ad3de50c343aed417ee25a222 | [
"MIT"
] | null | null | null | src/planning/settings/base.py | stuttup/planning | 0932a6af171a616ad3de50c343aed417ee25a222 | [
"MIT"
] | null | null | null | """
Django settings for planning project.
For more information on this file, see
https://docs.djangoproject.com/en/dev/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/dev/ref/settings/
"""
from django.core.urlresolvers import reverse_lazy
from os.path import dirn... | 27.601266 | 74 | 0.711534 |
4a102e9c827376b727a4ac2009a82650bb7e9875 | 2,554 | py | Python | backend/pyrogram/raw/types/update_message_poll_vote.py | appheap/social-media-analyzer | 0f9da098bfb0b4f9eb38e0244aa3a168cf97d51c | [
"Apache-2.0"
] | 5 | 2021-09-11T22:01:15.000Z | 2022-03-16T21:33:42.000Z | backend/pyrogram/raw/types/update_message_poll_vote.py | iamatlasss/social-media-analyzer | 429d1d2bbd8bfce80c50c5f8edda58f87ace668d | [
"Apache-2.0"
] | null | null | null | backend/pyrogram/raw/types/update_message_poll_vote.py | iamatlasss/social-media-analyzer | 429d1d2bbd8bfce80c50c5f8edda58f87ace668d | [
"Apache-2.0"
] | 3 | 2022-01-18T11:06:22.000Z | 2022-02-26T13:39:28.000Z | # Pyrogram - Telegram MTProto API Client Library for Python
# Copyright (C) 2017-2021 Dan <https://github.com/delivrance>
#
# This file is part of Pyrogram.
#
# Pyrogram is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published
# by the Free... | 31.530864 | 103 | 0.629601 |
4a102eb7d56be9c99be1a0ab70fd7a608b0c12ed | 21,492 | py | Python | test/oscprob3nu_plot.py | mbustama/NuOscProbExact | 76c816e75a995fbeeb98b0249a7b9e03769aa12b | [
"MIT"
] | 14 | 2019-04-30T01:40:45.000Z | 2022-03-23T05:00:13.000Z | test/oscprob3nu_plot.py | mbustama/NuOscProbExact | 76c816e75a995fbeeb98b0249a7b9e03769aa12b | [
"MIT"
] | 1 | 2022-03-11T14:33:03.000Z | 2022-03-11T14:33:03.000Z | test/oscprob3nu_plot.py | mbustama/NuOscProbExact | 76c816e75a995fbeeb98b0249a7b9e03769aa12b | [
"MIT"
] | 9 | 2019-04-30T16:47:25.000Z | 2022-03-23T05:00:19.000Z | # -*- coding: utf-8 -*-
r"""Routines to plot three-neutrino flavor-transition probabilities.
This module contains contains routines to plot three-neutrino
oscillation probabilities vs. the neutrino baseline and energy. These
routines are used by run_testsuite.py to produce a suite of test plots.
Routine listings
---... | 38.724324 | 81 | 0.582217 |
4a102f2ef68dd46f3302b11915681d4ede4009a8 | 8,170 | py | Python | nectar/theanoutil/model.py | Y0mingZhang/nectar | ca2bebdfedf46dfee9a2cb2d1bc82ad5c0871c93 | [
"MIT"
] | null | null | null | nectar/theanoutil/model.py | Y0mingZhang/nectar | ca2bebdfedf46dfee9a2cb2d1bc82ad5c0871c93 | [
"MIT"
] | null | null | null | nectar/theanoutil/model.py | Y0mingZhang/nectar | ca2bebdfedf46dfee9a2cb2d1bc82ad5c0871c93 | [
"MIT"
] | null | null | null | """Standard utilties for a theano model."""
import collections
import numbers
import numpy as np
import pickle
import random
import sys
import theano
import time
from tkinter import TclError
from . import __init__ as ntu
from .. import log, secs_to_str
class TheanoModel(object):
"""A generic theano model.
This c... | 32.165354 | 94 | 0.673929 |
4a103193f94515ec2f023399574112431af531a2 | 2,089 | py | Python | certbot-dns-cloudxns/setup.py | singhdeepu/certificateprovider | ed2168aaa8c8a7e1bef449e60167b53d501d173a | [
"Apache-2.0"
] | null | null | null | certbot-dns-cloudxns/setup.py | singhdeepu/certificateprovider | ed2168aaa8c8a7e1bef449e60167b53d501d173a | [
"Apache-2.0"
] | 808 | 2018-11-09T05:14:26.000Z | 2021-08-03T05:26:10.000Z | certbot-dns-cloudxns/setup.py | singhdeepu/certificateprovider | ed2168aaa8c8a7e1bef449e60167b53d501d173a | [
"Apache-2.0"
] | null | null | null | import sys
from setuptools import setup
from setuptools import find_packages
version = '0.21.0.dev0'
# Please update tox.ini when modifying dependency version requirements
install_requires = [
'acme=={0}'.format(version),
'certbot=={0}'.format(version),
'dns-lexicon',
'mock',
# For pkg_resources... | 30.275362 | 78 | 0.624222 |
4a103194f3f86c61093a0498b29d52e41aee3003 | 3,231 | py | Python | certbot-compatibility-test/certbot_compatibility_test/configurators/nginx/common.py | lpmitchell/certbot | fe0c0dc3ae6c25c6087e51717a223f38a9b23d2f | [
"Apache-2.0"
] | null | null | null | certbot-compatibility-test/certbot_compatibility_test/configurators/nginx/common.py | lpmitchell/certbot | fe0c0dc3ae6c25c6087e51717a223f38a9b23d2f | [
"Apache-2.0"
] | null | null | null | certbot-compatibility-test/certbot_compatibility_test/configurators/nginx/common.py | lpmitchell/certbot | fe0c0dc3ae6c25c6087e51717a223f38a9b23d2f | [
"Apache-2.0"
] | 1 | 2022-03-31T07:54:20.000Z | 2022-03-31T07:54:20.000Z | """Provides a common base for Nginx proxies"""
import os
import shutil
import subprocess
from typing import Set
from typing import Tuple
from certbot_compatibility_test import errors
from certbot_compatibility_test import util
from certbot_compatibility_test.configurators import common as configurators_common
from cer... | 35.505495 | 86 | 0.662953 |
4a10322dfd2f6b2d7093c0438917071792e81daf | 101,029 | py | Python | macmini-liz/anode/src/main/python/anode/plugin/plugin.py | ggear/asystem | c949a1624812eab5b063681f46a88ccc9527266e | [
"Apache-2.0"
] | 4 | 2019-03-26T13:57:54.000Z | 2021-11-04T04:55:49.000Z | macmini-liz/anode/src/main/python/anode/plugin/plugin.py | ggear/asystem | c949a1624812eab5b063681f46a88ccc9527266e | [
"Apache-2.0"
] | 1 | 2021-04-03T01:10:11.000Z | 2021-04-03T01:10:11.000Z | macmini-liz/anode/src/main/python/anode/plugin/plugin.py | ggear/asystem | c949a1624812eab5b063681f46a88ccc9527266e | [
"Apache-2.0"
] | 2 | 2019-04-02T19:20:34.000Z | 2019-08-13T16:39:52.000Z | from __future__ import print_function
import sys
sys.path.append('./main/python')
import HTMLParser
import StringIO
import abc
import base64
import calendar
import datetime
import decimal
import io
import json
import logging
import numbers
import operator
import os.path
import re
import shutil
import time
import url... | 61.867116 | 140 | 0.585515 |
4a10330f9d8ea805a53cae3ced9e32910ab976fc | 1,298 | py | Python | biobakery_workflows/scripts/remove_if_exists.py | tkuntz-hsph/biobakery_workflows | e861705d939354178362fd5b26e59dcc696489d2 | [
"MIT"
] | 47 | 2020-08-18T20:51:02.000Z | 2022-03-21T19:43:13.000Z | biobakery_workflows/scripts/remove_if_exists.py | tkuntz-hsph/biobakery_workflows | e861705d939354178362fd5b26e59dcc696489d2 | [
"MIT"
] | 18 | 2020-06-12T21:26:46.000Z | 2022-03-19T08:24:55.000Z | biobakery_workflows/scripts/remove_if_exists.py | tkuntz-hsph/biobakery_workflows | e861705d939354178362fd5b26e59dcc696489d2 | [
"MIT"
] | 15 | 2020-07-24T16:41:46.000Z | 2022-02-22T09:02:01.000Z | #!/usr/bin/env python
""" This script will remove a file if it exists.
It will report error messages from trying to remove the file. """
import sys
import shutil
try:
import argparse
except ImportError:
sys.exit("Please upgrade to at least python v2.7")
import os
def parse_arguments(args):
... | 27.617021 | 96 | 0.642527 |
4a10349ed4dec2af6df81ee777ad8422925930e9 | 1,254 | py | Python | 1. Algorithmic Toolbox/week2_algorithmic_warmup/8_last_digit_of_the_sum_of_squares_of_fibonacci_numbers.py | vishweshwartyagi/Data-Structures-and-Algorithms-UCSD | de942b3a0eb2bf56f949f47c297fad713aa81489 | [
"MIT"
] | null | null | null | 1. Algorithmic Toolbox/week2_algorithmic_warmup/8_last_digit_of_the_sum_of_squares_of_fibonacci_numbers.py | vishweshwartyagi/Data-Structures-and-Algorithms-UCSD | de942b3a0eb2bf56f949f47c297fad713aa81489 | [
"MIT"
] | null | null | null | 1. Algorithmic Toolbox/week2_algorithmic_warmup/8_last_digit_of_the_sum_of_squares_of_fibonacci_numbers.py | vishweshwartyagi/Data-Structures-and-Algorithms-UCSD | de942b3a0eb2bf56f949f47c297fad713aa81489 | [
"MIT"
] | null | null | null | # Uses python3
from sys import stdin
def fibonacci_sum_squares_naive(n):
if n <= 1:
return n
previous = 0
current = 1
sum = 1
for _ in range(n - 1):
previous, current = current, previous + current
sum += current * current
return sum % 10
def mat_mul(A, B, q):
... | 19 | 65 | 0.49362 |
4a1034aa06543aae909aa89e3607c39cf2e87ca0 | 6,811 | py | Python | hvac/api/secrets_engines/consul.py | leongyh/hvac | 4697d5ec097809def0e0bacd166f6db520db7d94 | [
"Apache-2.0"
] | 1 | 2020-12-14T04:01:10.000Z | 2020-12-14T04:01:10.000Z | hvac/api/secrets_engines/consul.py | TerryHowe/hvac | a6b7f904bfaba3c1133ccc7fa5a0cff0d29340c7 | [
"Apache-2.0"
] | null | null | null | hvac/api/secrets_engines/consul.py | TerryHowe/hvac | a6b7f904bfaba3c1133ccc7fa5a0cff0d29340c7 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Consul methods module."""
from hvac import exceptions, utils
from hvac.api.vault_api_base import VaultApiBase
DEFAULT_MOUNT_POINT = "consul"
class Consul(VaultApiBase):
"""Copnsul Secrets Engine (API).
Reference: https://www.vaultproject.io/api/secret/consul/... | 42.04321 | 122 | 0.641316 |
4a103526a51a8ad88b3c9f227139ecefef9f419e | 5,100 | py | Python | src/lcd16x2.py | dooley-ch/microbit-grove | e25213de74d982b8ab49412e6f8b2dbe205ca932 | [
"MIT"
] | null | null | null | src/lcd16x2.py | dooley-ch/microbit-grove | e25213de74d982b8ab49412e6f8b2dbe205ca932 | [
"MIT"
] | null | null | null | src/lcd16x2.py | dooley-ch/microbit-grove | e25213de74d982b8ab49412e6f8b2dbe205ca932 | [
"MIT"
] | null | null | null | # ------------------------------------------------------------------------------------------
# Copyright James A. Dooley 2021.
#
# Distributed under the MIT License.
# (See accompanying file license.md file or copy at http://opensource.org/licenses/MIT)
#
# --------------------------------------------------------------... | 29.479769 | 92 | 0.622941 |
4a103532642f5a3aaebbe39ea6373ce2230e0455 | 5,185 | py | Python | equatorial_UVW.py | jgagneastro/jg_kinematics | cd1469ab342240d15b01b75ca038d545dbaf227a | [
"MIT"
] | 1 | 2018-12-04T21:54:07.000Z | 2018-12-04T21:54:07.000Z | equatorial_UVW.py | jgagneastro/jg_kinematics | cd1469ab342240d15b01b75ca038d545dbaf227a | [
"MIT"
] | null | null | null | equatorial_UVW.py | jgagneastro/jg_kinematics | cd1469ab342240d15b01b75ca038d545dbaf227a | [
"MIT"
] | null | null | null | import numpy as np #Numpy maths
#Initiate some global constants
#1 AU/yr to km/s divided by 1000
kappa = 0.004743717361
#Not using "from astropy import units as u; kappa=u.au.to(u.km)/u.year.to(u.s)" because astropy defines one year as exactly 365.25 days instead of 365 days
#Galactic Coordinates matrix
TGAL = (np.ar... | 46.294643 | 183 | 0.724204 |
4a103602e3067486420afe003535c56a8147050c | 11,253 | py | Python | tests/test_commands.py | Gobot1234/steam | ffcd3a6c4d531fbf174f359f0b66d9a9525d62cb | [
"MIT"
] | 79 | 2020-02-26T19:20:07.000Z | 2022-03-24T11:12:57.000Z | tests/test_commands.py | Gobot1234/steam | ffcd3a6c4d531fbf174f359f0b66d9a9525d62cb | [
"MIT"
] | 34 | 2020-04-26T01:55:31.000Z | 2022-03-15T17:38:34.000Z | tests/test_commands.py | Gobot1234/steam | ffcd3a6c4d531fbf174f359f0b66d9a9525d62cb | [
"MIT"
] | 14 | 2020-07-15T14:50:14.000Z | 2022-01-26T21:51:30.000Z | import contextlib
import traceback
from copy import copy
from io import StringIO
from typing import Any, Generator, Optional, TypeVar, Union
import pytest
from typing_extensions import TypeAlias
import steam
from steam.ext import commands
from tests.mocks import GROUP_MESSAGE
CE = TypeVar("CE", bound=commands.Comman... | 28.560914 | 111 | 0.64445 |
4a103648a367a8f44cb00908c0b56beb2aa894c8 | 2,017 | py | Python | collection/launcher.py | L0adinggg/Braised-vegetables | d979bb0affd6257178f5b22e675d6350ece41b44 | [
"CC0-1.0"
] | 20 | 2021-06-02T03:20:34.000Z | 2021-11-10T03:29:25.000Z | collection/launcher.py | L0adinggg/Braised-vegetables | d979bb0affd6257178f5b22e675d6350ece41b44 | [
"CC0-1.0"
] | null | null | null | collection/launcher.py | L0adinggg/Braised-vegetables | d979bb0affd6257178f5b22e675d6350ece41b44 | [
"CC0-1.0"
] | 2 | 2022-03-17T04:06:47.000Z | 2022-03-17T06:17:04.000Z | #!/usr/bin/python3
# coding: utf-8
import queue
import simplejson
import threading
import subprocess
import requests
import warnings
warnings.filterwarnings(action='ignore')
urls_queue = queue.Queue()
tclose=0
def opt2File(paths):
try:
f = open('crawl_result.txt','a')
f.write(paths + '\n')
fi... | 23.729412 | 186 | 0.650471 |
4a1038cb2f56ce8aa6f61ec4c863614a3d27c93e | 1,320 | py | Python | assignments/03_days/days.py | charlesb107/biosystems-analytics-2020 | 38d61c2db203626777db384ca720695723d61e8f | [
"MIT"
] | null | null | null | assignments/03_days/days.py | charlesb107/biosystems-analytics-2020 | 38d61c2db203626777db384ca720695723d61e8f | [
"MIT"
] | null | null | null | assignments/03_days/days.py | charlesb107/biosystems-analytics-2020 | 38d61c2db203626777db384ca720695723d61e8f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
Author : charlesb107
Date : 2020-02-17
Purpose: Repeat the days of the week
Reference: Tiny Python Projects (Book)/Biosystems Analytics (BE534), Spring 2020
"""
import argparse
import os
import sys
# --------------------------------------------------
def get_args():
"""Get command-li... | 25.882353 | 80 | 0.520455 |
4a10395677bb4896012a15f4307c081c65ba0db1 | 1,479 | py | Python | app/core/tools/integrals.py | Matexer/BSPR | a503a8795cb0f4cebe2eedd148aa00aea75b570e | [
"MIT"
] | null | null | null | app/core/tools/integrals.py | Matexer/BSPR | a503a8795cb0f4cebe2eedd148aa00aea75b570e | [
"MIT"
] | null | null | null | app/core/tools/integrals.py | Matexer/BSPR | a503a8795cb0f4cebe2eedd148aa00aea75b570e | [
"MIT"
] | null | null | null | import numpy as np
class Integrals:
@staticmethod
def rect(prep_p_sur, smp_time):
return smp_time * sum(prep_p_sur)
@staticmethod
def trapeze(prep_p_sur, smp_time):
if len(prep_p_sur) < 2:
return prep_p_sur[0] * smp_time
A = (prep_p_sur[0] + prep_p_sur[-1]) / 2
... | 25.5 | 103 | 0.441515 |
4a1039a00afcb8202e0a77c3558e4bf3c77500ec | 1,323 | py | Python | aalh_iit_jdoylewitgencollection/merge-description-columns.py | johndewees/iitmigration | 4dadfbecda719d6e7d60af076a231aedec3c862f | [
"Unlicense"
] | null | null | null | aalh_iit_jdoylewitgencollection/merge-description-columns.py | johndewees/iitmigration | 4dadfbecda719d6e7d60af076a231aedec3c862f | [
"Unlicense"
] | null | null | null | aalh_iit_jdoylewitgencollection/merge-description-columns.py | johndewees/iitmigration | 4dadfbecda719d6e7d60af076a231aedec3c862f | [
"Unlicense"
] | null | null | null | from openpyxl import load_workbook
filename = 'aalh_iit_jdoylewitgencollection.xlsx'
wb = load_workbook(filename)
ws = wb['Metadata Template']
minimumcol = 8
maximumcol = 8
minimumrow = 7
maximumrow = 203
iterationrow = 7
targetcol = 46
linkstring = 'Terms associated with the photograph are: '
for ro... | 40.090909 | 105 | 0.684807 |
4a1039eabafb7111bfb00e642c818ac7c4d16733 | 1,007 | py | Python | env/lib/python3.6/site-packages/dipy/tracking/tests/test_learning.py | Raniac/NEURO-LEARN | 3c3acc55de8ba741e673063378e6cbaf10b64c7a | [
"Apache-2.0"
] | 8 | 2019-05-29T09:38:30.000Z | 2021-01-20T03:36:59.000Z | env/lib/python3.6/site-packages/dipy/tracking/tests/test_learning.py | Raniac/neurolearn_dev | 3c3acc55de8ba741e673063378e6cbaf10b64c7a | [
"Apache-2.0"
] | 12 | 2021-03-09T03:01:16.000Z | 2022-03-11T23:59:36.000Z | env/lib/python3.6/site-packages/dipy/tracking/tests/test_learning.py | Raniac/NEURO-LEARN | 3c3acc55de8ba741e673063378e6cbaf10b64c7a | [
"Apache-2.0"
] | 1 | 2020-07-17T12:49:49.000Z | 2020-07-17T12:49:49.000Z | """ Testing track_metrics module """
import numpy as np
from dipy.testing import assert_true, assert_false
from numpy.testing import (assert_array_equal, assert_array_almost_equal,
assert_equal, assert_almost_equal)
from dipy.tracking import metrics as tm
from dipy.tracking import distances ... | 29.617647 | 73 | 0.602781 |
4a103a118e1c971902cf6bf85399180a06392ffd | 411 | py | Python | polylexis/wsgi.py | heitorchang/polylexis | 22589560fb015cffb6419308349c5518a5c38551 | [
"MIT"
] | null | null | null | polylexis/wsgi.py | heitorchang/polylexis | 22589560fb015cffb6419308349c5518a5c38551 | [
"MIT"
] | null | null | null | polylexis/wsgi.py | heitorchang/polylexis | 22589560fb015cffb6419308349c5518a5c38551 | [
"MIT"
] | null | null | null | """
WSGI config for polylexis project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefaul... | 24.176471 | 79 | 0.756691 |
4a103b325b9af15f0acd6a82f419f608c8be3f48 | 3,322 | py | Python | product_analysis/ebike_analysis/ebike_specs.py | STNichols/product_analysis | cba20f17d7f30da534ccd2c3fc14bdeb9564d25b | [
"BSD-2-Clause"
] | null | null | null | product_analysis/ebike_analysis/ebike_specs.py | STNichols/product_analysis | cba20f17d7f30da534ccd2c3fc14bdeb9564d25b | [
"BSD-2-Clause"
] | 1 | 2020-06-13T23:39:27.000Z | 2020-06-13T23:39:27.000Z | product_analysis/ebike_analysis/ebike_specs.py | STNichols/product_analysis | cba20f17d7f30da534ccd2c3fc14bdeb9564d25b | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue May 12 13:11:23 2020
@author: Sean
"""
import re
import numpy as np
import pandas as pd
from ..utilities.web_browsing import make_soup
base_url = "https://electricbikereview.com/category/bikes/"
all_specs = {
"make":{
"num":False
},
"mod... | 25.751938 | 77 | 0.484648 |
4a103b51d00b6618eb6cf61270c1608a750915ec | 967 | py | Python | treasurySS/migrations/0003_data.py | uktrade/fadmin2 | 0f774400fb816c9ca30e30b25ae542135966e185 | [
"MIT"
] | 3 | 2020-01-05T16:46:42.000Z | 2021-08-02T08:08:39.000Z | treasurySS/migrations/0003_data.py | uktrade/fadmin2 | 0f774400fb816c9ca30e30b25ae542135966e185 | [
"MIT"
] | 30 | 2019-11-28T15:16:35.000Z | 2021-08-16T14:49:58.000Z | treasurySS/migrations/0003_data.py | uktrade/fadmin2 | 0f774400fb816c9ca30e30b25ae542135966e185 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.4 on 2021-07-29 08:49
from django.db import migrations
def create_organizations(apps, schema_editor):
OrganizationCode = apps.get_model("treasurySS", "OrganizationCode")
Segment = apps.get_model("treasurySS", "Segment")
organization_obj = OrganizationCode.objects.create(
... | 31.193548 | 89 | 0.703206 |
4a103d11a39917fbbc4402c9e4a2d20c31a0b897 | 97 | py | Python | Chapter_1/misc/new_test.py | aquib-sh/C_Programming_Exercises | 6753164dd8e4f090751db5f988eb27f1bc7363f8 | [
"CC0-1.0"
] | null | null | null | Chapter_1/misc/new_test.py | aquib-sh/C_Programming_Exercises | 6753164dd8e4f090751db5f988eb27f1bc7363f8 | [
"CC0-1.0"
] | null | null | null | Chapter_1/misc/new_test.py | aquib-sh/C_Programming_Exercises | 6753164dd8e4f090751db5f988eb27f1bc7363f8 | [
"CC0-1.0"
] | null | null | null | while True:
try:
got = input()
print(got)
except EOFError:
break
| 13.857143 | 21 | 0.484536 |
4a103dc50cc62cf19625f100631d54e2b40ae601 | 518 | py | Python | array/1701_average_waiting_time/1701_average_waiting_time.py | zdyxry/LeetCode | 33371285d0f3302158230f46e8b1b63b9f4639c4 | [
"Xnet",
"X11"
] | 6 | 2019-09-16T01:50:44.000Z | 2020-09-17T08:52:25.000Z | array/1701_average_waiting_time/1701_average_waiting_time.py | zdyxry/LeetCode | 33371285d0f3302158230f46e8b1b63b9f4639c4 | [
"Xnet",
"X11"
] | null | null | null | array/1701_average_waiting_time/1701_average_waiting_time.py | zdyxry/LeetCode | 33371285d0f3302158230f46e8b1b63b9f4639c4 | [
"Xnet",
"X11"
] | 4 | 2020-02-07T12:43:16.000Z | 2021-04-11T06:38:55.000Z | from typing import List
class Solution:
def averageWaitingTime(self, customers: List[List[int]]) -> float:
cur = customers[0][0]
total = 0
for c in customers:
if cur >= c[0]:
cur = cur + c[1]
total += cur - c[0]
else:
... | 24.666667 | 70 | 0.482625 |
4a103e8e4b061031a7b0e38b7a21f41596712267 | 4,204 | py | Python | tests/clvm/coin_store.py | Storch-Network/chialite | 587fc53e8ef452e07c6f3f266f58962d065feb5c | [
"Apache-2.0"
] | 2 | 2021-06-29T14:05:41.000Z | 2021-07-15T19:28:26.000Z | tests/clvm/coin_store.py | Storch-Network/chialite | 587fc53e8ef452e07c6f3f266f58962d065feb5c | [
"Apache-2.0"
] | 31 | 2021-06-26T23:11:46.000Z | 2022-03-29T00:12:30.000Z | tests/clvm/coin_store.py | Storch-Network/chialite | 587fc53e8ef452e07c6f3f266f58962d065feb5c | [
"Apache-2.0"
] | null | null | null | from collections import defaultdict
from dataclasses import dataclass, replace
from typing import Dict, Iterator, Set
from chialite.full_node.mempool_check_conditions import mempool_check_conditions_dict
from chialite.types.blockchain_format.coin import Coin
from chialite.types.blockchain_format.sized_bytes import byt... | 38.925926 | 117 | 0.682207 |
4a1041663ade8650287aee98ca4620160a1e51a5 | 1,517 | py | Python | utils.py | jeccec51/WordPrediction | 53607414bd8f44a3fd0d2c2ec6f0d3f0fc7bbba3 | [
"BSD-2-Clause"
] | 1 | 2020-11-21T07:12:55.000Z | 2020-11-21T07:12:55.000Z | utils.py | jeccec51/WordPrediction | 53607414bd8f44a3fd0d2c2ec6f0d3f0fc7bbba3 | [
"BSD-2-Clause"
] | null | null | null | utils.py | jeccec51/WordPrediction | 53607414bd8f44a3fd0d2c2ec6f0d3f0fc7bbba3 | [
"BSD-2-Clause"
] | null | null | null | import re
from collections import Counter
def preprocess(text):
# Replace punctuation with tokens so we can use them in our model
text = text.lower()
text = text.replace('.', ' <PERIOD> ')
text = text.replace(',', ' <COMMA> ')
text = text.replace('"', ' <QUOTATION_MARK> ')
text = text.replace... | 33.711111 | 73 | 0.644034 |
4a1041b3af332d5688b2676e560580c5c3893d8b | 292 | py | Python | tests/__main__.py | CaioRuizz/DevOps_Curso_Ftt | ca71114b003eed9dc2551d4c7ce5b1d3af56c5dd | [
"MIT"
] | null | null | null | tests/__main__.py | CaioRuizz/DevOps_Curso_Ftt | ca71114b003eed9dc2551d4c7ce5b1d3af56c5dd | [
"MIT"
] | null | null | null | tests/__main__.py | CaioRuizz/DevOps_Curso_Ftt | ca71114b003eed9dc2551d4c7ce5b1d3af56c5dd | [
"MIT"
] | null | null | null | import unittest
import sys
if __name__ == "__main__":
test_suite = unittest.defaultTestLoader.discover('./tests', '*_test.py')
test_runner = unittest.TextTestRunner(resultclass=unittest.TextTestResult)
result = test_runner.run(test_suite)
sys.exit(not result.wasSuccessful()) | 36.5 | 78 | 0.756849 |
4a1042cc3e50c8920ec2fdee597e68c3aa8e8d12 | 20,318 | py | Python | mapclientplugins/cimconverterstep/SurfaceExtractor.py | HiiKevin/mapclientplugins.cimconverterstep | 66a2ebc5482b9eb3f3c58ab6fb7cec9531ef6140 | [
"Apache-2.0"
] | null | null | null | mapclientplugins/cimconverterstep/SurfaceExtractor.py | HiiKevin/mapclientplugins.cimconverterstep | 66a2ebc5482b9eb3f3c58ab6fb7cec9531ef6140 | [
"Apache-2.0"
] | null | null | null | mapclientplugins/cimconverterstep/SurfaceExtractor.py | HiiKevin/mapclientplugins.cimconverterstep | 66a2ebc5482b9eb3f3c58ab6fb7cec9531ef6140 | [
"Apache-2.0"
] | 1 | 2022-01-17T04:05:45.000Z | 2022-01-17T04:05:45.000Z | from datetime import time
import numpy as np
import csv
import os
import glob
import natsort
import pandas as pd
import re
import warnings
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D, art3d
class Subdivision_Surface():
'''
This class create a surface from the control mesh, based on... | 50.542289 | 164 | 0.538783 |
4a1044acbfe38f26f5164aeaffff4e3a888ea775 | 953 | py | Python | tweet_builder.py | hundvalp/puppy-pills | 50e691c6a6882ff1d1d7c9fd13cbd663862c7e9c | [
"MIT"
] | null | null | null | tweet_builder.py | hundvalp/puppy-pills | 50e691c6a6882ff1d1d7c9fd13cbd663862c7e9c | [
"MIT"
] | null | null | null | tweet_builder.py | hundvalp/puppy-pills | 50e691c6a6882ff1d1d7c9fd13cbd663862c7e9c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
class TweetBuilder(object):
"""Constructs tweets to specific users"""
def __init__(self, mention_users):
"""Create a new tweet builder which will mention the given users"""
super(TweetBuilder, self).__init__()
# Convert lists to a space separated string
... | 39.708333 | 95 | 0.654774 |
4a1044ed5e788d2e53d28a30dbe18165a2afbd9a | 21,410 | py | Python | solartf/core/block.py | solarfresh/solartf | 69a5f2ed9990f71e7e19054c4e6e1206396f24e3 | [
"Apache-2.0"
] | null | null | null | solartf/core/block.py | solarfresh/solartf | 69a5f2ed9990f71e7e19054c4e6e1206396f24e3 | [
"Apache-2.0"
] | null | null | null | solartf/core/block.py | solarfresh/solartf | 69a5f2ed9990f71e7e19054c4e6e1206396f24e3 | [
"Apache-2.0"
] | null | null | null | from tensorflow.keras import backend as K
from tensorflow.keras.initializers import RandomNormal
from tensorflow.keras import layers
from tensorflow.keras.regularizers import l2
from . import activation as solar_activation
from . import layer as solartf_layers
from .util import (get_filter_nb_by_depth,)
class Conv2DB... | 34.98366 | 103 | 0.572303 |
4a104512a0315071dc7d0af7d39bb216d720ad4a | 8,416 | py | Python | sdk/python/pulumi_gcp/logging/folder_sink.py | 23doors/pulumi-gcp | ded01b199f95b164884266ea3e6f8206c8231270 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2019-12-20T22:08:20.000Z | 2019-12-20T22:08:20.000Z | sdk/python/pulumi_gcp/logging/folder_sink.py | pellizzetti/pulumi-gcp | fad74dd55a0cf7723f73046bb0e6fcbfd948ba84 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_gcp/logging/folder_sink.py | pellizzetti/pulumi-gcp | fad74dd55a0cf7723f73046bb0e6fcbfd948ba84 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import json
import warnings
import pulumi
import pulumi.runtime
from typing import Union
from .. import utilities, tables
class Folder... | 53.948718 | 200 | 0.683341 |
4a1045bf2cfebffff6d30bc1fdbbacdfa74f3d17 | 5,493 | py | Python | offb_posctl/scripts/GPM_test.py | SensenLiu/aggrecup | 0c381ee259b388684205c1fa5fc41265a7e849b3 | [
"MIT"
] | null | null | null | offb_posctl/scripts/GPM_test.py | SensenLiu/aggrecup | 0c381ee259b388684205c1fa5fc41265a7e849b3 | [
"MIT"
] | null | null | null | offb_posctl/scripts/GPM_test.py | SensenLiu/aggrecup | 0c381ee259b388684205c1fa5fc41265a7e849b3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# coding=utf-8
import socket
from scipy.optimize import minimize
import numpy as np
import time
from numba import jit, float64
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
import datetime
# global variable start >>>
n = 7
t0 = 0
tf = 2
discret... | 30.687151 | 121 | 0.532132 |
4a1045ec4252fa814150d3bae82056091352db45 | 3,773 | py | Python | parser.py | misaelnieto/tracey | bb6c1cd88130fc903561b5122ee2320deb8d9f6c | [
"Apache-2.0"
] | null | null | null | parser.py | misaelnieto/tracey | bb6c1cd88130fc903561b5122ee2320deb8d9f6c | [
"Apache-2.0"
] | null | null | null | parser.py | misaelnieto/tracey | bb6c1cd88130fc903561b5122ee2320deb8d9f6c | [
"Apache-2.0"
] | null | null | null | #!/bin/env python3
class DevsimData(object):
"""
Simple object contains the coordinates
Should probably be replace with numpy's dtype and loadtxt
"""
def __init__(self, filename):
self.filename = filename
self.regions = {}
self.name = None
self.coordinates = None
... | 49.644737 | 108 | 0.401802 |
4a10466ead3a43189a6138b2fde341af0e5edce2 | 3,053 | py | Python | src/oci/identity_data_plane/models/authenticate_user_result.py | LaudateCorpus1/oci-python-sdk | b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | src/oci/identity_data_plane/models/authenticate_user_result.py | LaudateCorpus1/oci-python-sdk | b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | src/oci/identity_data_plane/models/authenticate_user_result.py | LaudateCorpus1/oci-python-sdk | b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | # coding: utf-8
# Copyright (c) 2016, 2022, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may c... | 29.931373 | 245 | 0.657714 |
4a10470e1f69e3ab4601f894a6ac2b68f0561075 | 4,776 | py | Python | homework2/replay_buffer.py | IrohXu/NYU_Deep_Reinforcement_Learning | bb8025464b430687c7604e627eefb2908317cfa7 | [
"MIT"
] | null | null | null | homework2/replay_buffer.py | IrohXu/NYU_Deep_Reinforcement_Learning | bb8025464b430687c7604e627eefb2908317cfa7 | [
"MIT"
] | null | null | null | homework2/replay_buffer.py | IrohXu/NYU_Deep_Reinforcement_Learning | bb8025464b430687c7604e627eefb2908317cfa7 | [
"MIT"
] | null | null | null | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import utils
from segment_tree import SumSegmentTree, MinSegmentTree
class ReplayBuffer(object):
def __init__(self, obs_shape, capacity, device):
self.capacity = capacity
self.device = device
self.obse... | 34.608696 | 79 | 0.609925 |
4a1047d99fe50e2345f1feba1295e7cb2f2f7814 | 10,363 | py | Python | misc/train.py | RyanC1681/RCAI1122 | c9683110b58c255a7a78d880ff73df7ff2329405 | [
"Apache-2.0"
] | 18 | 2020-10-16T00:38:55.000Z | 2022-03-03T06:01:49.000Z | misc/train.py | RyanC1681/RCAI1122 | c9683110b58c255a7a78d880ff73df7ff2329405 | [
"Apache-2.0"
] | 20 | 2020-07-23T03:50:50.000Z | 2021-11-09T04:00:26.000Z | misc/train.py | RyanC1681/RCAI1122 | c9683110b58c255a7a78d880ff73df7ff2329405 | [
"Apache-2.0"
] | 140 | 2019-11-20T22:46:02.000Z | 2022-03-29T13:26:17.000Z | from keras.models import load_model
import numpy as np
import cv2
from pathlib import Path
import os
import glob
import h5py
from keras import __version__ as keras_version
from typing import List
import tensorflow as tf
try:
from model import nvidia_model, simple_model
except:
from .model import nvidia_model, ... | 32.794304 | 116 | 0.655505 |
4a10485a1e7ad7385a598dcbd4b4ed63c75940c7 | 2,042 | py | Python | main.py | RhnSaxena/KonfHub | 09efc83556880469710f05209c6190b8c99e3d97 | [
"MIT"
] | null | null | null | main.py | RhnSaxena/KonfHub | 09efc83556880469710f05209c6190b8c99e3d97 | [
"MIT"
] | null | null | null | main.py | RhnSaxena/KonfHub | 09efc83556880469710f05209c6190b8c99e3d97 | [
"MIT"
] | null | null | null | import json
import config
from source.requestUtil import requestGet
from source.readable import createReadableDict
from source.replicas import createDict, findExactReplicas, findSimilar
from source.fileWriter import writeToJSONFile, writeToTXT
def driver():
# Perform the GET operation on the link
# and recei... | 30.029412 | 87 | 0.660627 |
4a1048a0aaf7dc7e8e4422085370e34328979564 | 2,506 | py | Python | neuroConstruct/pythonScripts/RunTestsLEMS.py | OpenSourceBrain/L5bPyrCellHayEtAl2011 | 23d938d8c4ba1fb83cdd99810ac324ae4f58bd7c | [
"MIT"
] | 4 | 2020-06-15T13:10:23.000Z | 2022-02-17T18:20:05.000Z | neuroConstruct/pythonScripts/RunTestsLEMS.py | OpenSourceBrain/L5bPyrCellHayEtAl2011 | 23d938d8c4ba1fb83cdd99810ac324ae4f58bd7c | [
"MIT"
] | null | null | null | neuroConstruct/pythonScripts/RunTestsLEMS.py | OpenSourceBrain/L5bPyrCellHayEtAl2011 | 23d938d8c4ba1fb83cdd99810ac324ae4f58bd7c | [
"MIT"
] | 1 | 2022-02-17T11:23:37.000Z | 2022-02-17T11:23:37.000Z | #
#
# File to test current configuration of project
#
# Author: Padraig Gleeson
#
# This file has been developed as part of the neuroConstruct project
# This work has been funded by the Wellcome Trust
#
#
import sys
import os
try:
from java.io import File
except ImportError:
print "No... | 27.538462 | 97 | 0.557861 |
4a1048d610ce8c0fec2c04e456a510c421edb520 | 860 | py | Python | tests/test_basic.py | saksham219/scvelo | 41fb2a90ae6a71577cf2c55b80e1ade4407891b7 | [
"BSD-3-Clause"
] | null | null | null | tests/test_basic.py | saksham219/scvelo | 41fb2a90ae6a71577cf2c55b80e1ade4407891b7 | [
"BSD-3-Clause"
] | null | null | null | tests/test_basic.py | saksham219/scvelo | 41fb2a90ae6a71577cf2c55b80e1ade4407891b7 | [
"BSD-3-Clause"
] | null | null | null | import scvelo as scv
import numpy as np
def test_einsum():
from scvelo.tools.utils import prod_sum_obs, prod_sum_var, norm
Ms, Mu = np.random.rand(5, 4), np.random.rand(5, 4)
assert np.allclose(prod_sum_obs(Ms, Mu), np.sum(Ms * Mu, 0))
assert np.allclose(prod_sum_var(Ms, Mu), np.sum(Ms * Mu, 1))
a... | 30.714286 | 75 | 0.661628 |
4a1048e5c89539832b9a87bd683699939a79ba5d | 1,733 | py | Python | bureau/assignments/views.py | clairempr/bureau | c9fd114e637829b4e9ff643459d15602cc2efc2f | [
"Apache-2.0"
] | 1 | 2019-02-15T09:05:35.000Z | 2019-02-15T09:05:35.000Z | bureau/assignments/views.py | clairempr/bureau | c9fd114e637829b4e9ff643459d15602cc2efc2f | [
"Apache-2.0"
] | null | null | null | bureau/assignments/views.py | clairempr/bureau | c9fd114e637829b4e9ff643459d15602cc2efc2f | [
"Apache-2.0"
] | null | null | null | from django.views.generic import ListView
from assignments.models import Assignment
from places.models import Place
class AssignmentListView(ListView):
model = Assignment
queryset = Assignment.objects.all()
ordering = ['start_date', 'positions__title', 'employee__last_name', 'employee__first_name']
t... | 32.698113 | 104 | 0.691864 |
4a104972b02fe1199013f78dd4348a37afde5a22 | 16,120 | py | Python | homeassistant/components/homekit/type_media_players.py | twrecked/core | d3ae8a938cdea9b6e0d443c91c37ac3dbbd459ab | [
"Apache-2.0"
] | 2 | 2021-09-13T21:44:02.000Z | 2021-12-17T21:20:51.000Z | homeassistant/components/homekit/type_media_players.py | twrecked/core | d3ae8a938cdea9b6e0d443c91c37ac3dbbd459ab | [
"Apache-2.0"
] | 5 | 2021-02-08T20:55:25.000Z | 2022-03-12T00:51:18.000Z | homeassistant/components/homekit/type_media_players.py | twrecked/core | d3ae8a938cdea9b6e0d443c91c37ac3dbbd459ab | [
"Apache-2.0"
] | 2 | 2020-11-04T07:40:01.000Z | 2021-09-13T21:44:03.000Z | """Class to hold all media player accessories."""
import logging
from pyhap.const import CATEGORY_SWITCH, CATEGORY_TELEVISION
from homeassistant.components.media_player import (
ATTR_INPUT_SOURCE,
ATTR_INPUT_SOURCE_LIST,
ATTR_MEDIA_VOLUME_LEVEL,
ATTR_MEDIA_VOLUME_MUTED,
DOMAIN,
SERVICE_SELECT_... | 38.75 | 88 | 0.649132 |
4a104a1e2413b328cbeb4d1ad5165b75f352a2f4 | 1,780 | py | Python | Dynamic Programming/Candies.py | adgarciaar/HackerRankExercises | 0d71dafcc437bac200034faf8be1c2794775b05d | [
"MIT"
] | null | null | null | Dynamic Programming/Candies.py | adgarciaar/HackerRankExercises | 0d71dafcc437bac200034faf8be1c2794775b05d | [
"MIT"
] | null | null | null | Dynamic Programming/Candies.py | adgarciaar/HackerRankExercises | 0d71dafcc437bac200034faf8be1c2794775b05d | [
"MIT"
] | null | null | null | #!/bin/python3
import math
import os
import random
import re
import sys
def candiesAux(n, arr, i, direction, previousInAuxArray):
numberCandies = None
if(direction == 0): # left to right
if( arr[i-1] < arr[i] ):
numberCandies = previousInAuxArray + 1
else:
if( i+1 < n )... | 23.421053 | 65 | 0.493258 |
4a104add6b9d0f7fa1a86d845f64e6e6ffdd5295 | 18,085 | py | Python | src/poke_env/environment/pokemon.py | BrunoMNDantas/poke-env | 1e7ac23619ebd869d47862a1b9edd12525eabdac | [
"MIT"
] | null | null | null | src/poke_env/environment/pokemon.py | BrunoMNDantas/poke-env | 1e7ac23619ebd869d47862a1b9edd12525eabdac | [
"MIT"
] | 3 | 2022-03-05T14:22:08.000Z | 2022-03-29T10:36:47.000Z | src/poke_env/environment/pokemon.py | darrenswhite/poke-env | 1116d7ef765fdf1048083801adfa528df3f7215e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from typing import Any
from typing import Dict
from typing import List
from typing import Optional
from typing import Set
from typing import Tuple
from typing import Union
from poke_env.data import POKEDEX
from poke_env.environment.effect import Effect
from poke_env.environment.pokemon_gender i... | 28.302034 | 88 | 0.572795 |
4a104b81000c52b9ed674f2eccfc682d72b81fd4 | 1,078 | py | Python | Desafio 59.py | MoomenEltelbany/PythonDesafios | aa2f44d3104cf3607f58dc42c2f8fc8023f128de | [
"MIT"
] | null | null | null | Desafio 59.py | MoomenEltelbany/PythonDesafios | aa2f44d3104cf3607f58dc42c2f8fc8023f128de | [
"MIT"
] | null | null | null | Desafio 59.py | MoomenEltelbany/PythonDesafios | aa2f44d3104cf3607f58dc42c2f8fc8023f128de | [
"MIT"
] | null | null | null | num1 = int(input('Digite o primeiro número: '))
num2 = int(input('Digite o segundo número: '))
opcao = 0
while opcao != 5:
opcao = int(input('''Solicite a sua escolha:
[ 1 ] Somar
[ 2 ] Multiplicar
[ 3 ] Maior
[ 4 ] Novo números
[ 5 ] Sair do Programa
'''))
if opcao == 1:
s... | 30.8 | 65 | 0.499072 |
4a104b93cd86febbcb517e5d4db7fc9200a24e0e | 487 | py | Python | functions/decorators/failsafe.py | kashifali-m398/advanced_python | 988f407e986403b3238c9d1ea30b7d6fddf88c84 | [
"MIT"
] | 1 | 2021-01-04T18:33:08.000Z | 2021-01-04T18:33:08.000Z | functions/decorators/failsafe.py | kashifali-m398/advanced_python | 988f407e986403b3238c9d1ea30b7d6fddf88c84 | [
"MIT"
] | null | null | null | functions/decorators/failsafe.py | kashifali-m398/advanced_python | 988f407e986403b3238c9d1ea30b7d6fddf88c84 | [
"MIT"
] | null | null | null |
class Failsafe:
'''
Catches I/O errors.
'''
def __init__(self, func):
self.function = func
def __call__(self, *args):
try:
self.function(*args)
except IOError:
print('An I/O error was caught when opening file "{}"'.format(args[0]))
... | 18.037037 | 84 | 0.570842 |
4a104b96b91a47c07a2242d935e7222e65b9efb1 | 352 | py | Python | aliyun/api/rest/Ram20140214ListUserPoliciesRequest.py | francisar/rds_manager | 458298669bf7d1990a85648b466b88f905256690 | [
"MIT"
] | 14 | 2015-11-30T02:35:18.000Z | 2019-05-14T11:49:24.000Z | aliyun/api/rest/Ram20140214ListUserPoliciesRequest.py | francisar/rds_manager | 458298669bf7d1990a85648b466b88f905256690 | [
"MIT"
] | 2 | 2015-11-30T02:51:40.000Z | 2017-03-16T01:51:45.000Z | aliyun/api/rest/Ram20140214ListUserPoliciesRequest.py | francisar/rds_manager | 458298669bf7d1990a85648b466b88f905256690 | [
"MIT"
] | 12 | 2016-01-04T06:48:17.000Z | 2020-11-07T14:08:25.000Z | '''
Created by auto_sdk on 2015.06.23
'''
from aliyun.api.base import RestApi
class Ram20140214ListUserPoliciesRequest(RestApi):
def __init__(self,domain='ram.aliyuncs.com',port=80):
RestApi.__init__(self,domain, port)
self.AccountSpace = None
self.UserName = None
def getapiname(self):
return 'ram.aliyuncs.c... | 27.076923 | 55 | 0.767045 |
4a104bfa1b905dbec9f041916018d49157800e15 | 327 | py | Python | tql/ml/optimizer/__init__.py | Jie-Yuan/1_DataMining | f5338388b4f883233f350d4fb9c5903180883430 | [
"Apache-2.0"
] | 14 | 2019-06-25T13:46:32.000Z | 2020-10-27T02:04:59.000Z | tql/ml/optimizer/__init__.py | Jie-Yuan/2_DataMining | f5338388b4f883233f350d4fb9c5903180883430 | [
"Apache-2.0"
] | null | null | null | tql/ml/optimizer/__init__.py | Jie-Yuan/2_DataMining | f5338388b4f883233f350d4fb9c5903180883430 | [
"Apache-2.0"
] | 7 | 2019-06-25T13:26:16.000Z | 2020-10-27T02:05:03.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Project : tql-Python.
# @File : __init__.py
# @Time : 2020/9/8 2:55 下午
# @Author : yuanjie
# @Email : yuanjie@xiaomi.com
# @Software : PyCharm
# @Description :
from .F1Optimizer import F1Optimizer
from .BaseOptimizer import BaseOpt... | 25.153846 | 40 | 0.605505 |
4a104d0a8bcaea1ca12561a24cde974d81f59308 | 43,065 | py | Python | salt/utils/vmware.py | cournape/salt | 39bcb8671a9dd04409923c0d34d15652b9fc3c06 | [
"Apache-2.0"
] | null | null | null | salt/utils/vmware.py | cournape/salt | 39bcb8671a9dd04409923c0d34d15652b9fc3c06 | [
"Apache-2.0"
] | null | null | null | salt/utils/vmware.py | cournape/salt | 39bcb8671a9dd04409923c0d34d15652b9fc3c06 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
'''
Connection library for VMware
.. versionadded:: 2015.8.2
This is a base library used by a number of VMware services such as VMware
ESX, ESXi, and vCenter servers.
:codeauthor: Nitin Madhok <nmadhok@clemson.edu>
:codeauthor: Alexandru Bleotu <alexandru.bleotu@morganstaley.com>
Dependencie... | 36.007525 | 133 | 0.630698 |
4a104d2d8718e90031699e6e582547c7755b70ce | 2,737 | py | Python | tests/test_autobib.py | HDembinski/autobib | f4fa004a4496f912acbf251d3092271c45b2fcb3 | [
"MIT"
] | 5 | 2021-05-09T12:39:04.000Z | 2021-08-25T11:35:39.000Z | tests/test_autobib.py | HDembinski/autobib | f4fa004a4496f912acbf251d3092271c45b2fcb3 | [
"MIT"
] | 2 | 2021-05-13T11:34:25.000Z | 2021-05-13T11:35:45.000Z | tests/test_autobib.py | HDembinski/autobib | f4fa004a4496f912acbf251d3092271c45b2fcb3 | [
"MIT"
] | null | null | null | import subprocess as subp
import shutil
from pathlib import Path
from autobib.util import find_in_path, get_bib_keys
import pytest
cwd = Path(__file__).parent
test_document_path = cwd / "data"
@pytest.mark.skipif(not find_in_path("latex"), reason="requires latex")
def test_autobib(tmpdir):
for fn in ("main.tex",... | 28.510417 | 74 | 0.618926 |
4a104dca866ad6fc4108087b2047f2320270a293 | 1,128 | py | Python | app.py | DheerajKumar97/Drug-Review-Sentiment-Analysis-RNN-Bidirectional-lstm--Flask-Deployment | 6eff5dd7ab7ff833f9bfad04a65af6c79b19a1f6 | [
"MIT"
] | 5 | 2020-10-27T07:25:16.000Z | 2021-09-09T09:56:01.000Z | app.py | DheerajKumar97/Drug-Review-Sentiment-Analysis-RNN-Bidirectional-lstm--Flask-Deployment | 6eff5dd7ab7ff833f9bfad04a65af6c79b19a1f6 | [
"MIT"
] | null | null | null | app.py | DheerajKumar97/Drug-Review-Sentiment-Analysis-RNN-Bidirectional-lstm--Flask-Deployment | 6eff5dd7ab7ff833f9bfad04a65af6c79b19a1f6 | [
"MIT"
] | null | null | null | from flask import Flask,render_template,url_for,request
import numpy as np
import pickle
import pandas as pd
from keras.models import load_model
from tensorflow.keras.preprocessing.text import Tokenizer
from tensorflow.keras.preprocessing.sequence import pad_sequences
from keras.models import model_from_json
from numpy... | 26.232558 | 65 | 0.702128 |
4a104e6460757188d16c755155c80f0400838954 | 2,389 | py | Python | envs/d4rl/d4rl_content/gym_minigrid/fourroom_controller.py | AliengirlLiv/babyai | 51421ee11538bf110c5b2d0c84a15f783d854e7d | [
"MIT"
] | 2 | 2022-02-24T08:47:48.000Z | 2022-03-23T09:44:22.000Z | envs/d4rl/d4rl_content/gym_minigrid/fourroom_controller.py | AliengirlLiv/babyai | 51421ee11538bf110c5b2d0c84a15f783d854e7d | [
"MIT"
] | null | null | null | envs/d4rl/d4rl_content/gym_minigrid/fourroom_controller.py | AliengirlLiv/babyai | 51421ee11538bf110c5b2d0c84a15f783d854e7d | [
"MIT"
] | 1 | 2021-12-27T19:03:38.000Z | 2021-12-27T19:03:38.000Z | import numpy as np
import random
from envs.d4rl.d4rl_content.pointmaze import q_iteration
from envs.d4rl.d4rl_content.pointmaze.gridcraft import grid_env
from envs.d4rl.d4rl_content.pointmaze.gridcraft import grid_spec
MAZE = \
"###################\\"+\
"#OOOOOOOO#OOOOOOOO#\\"+\
"#OOOOOOOO#OOOOOOOO#\\"+\
"#OOOOOOOOOO... | 28.105882 | 89 | 0.614483 |
4a10503783da86c5b736f1472232b4a05ef7490a | 7,753 | py | Python | InApp.py | LHoBiz/ols_engine | 9bdbd827f7be17aee95d416255a7f483472c4315 | [
"MIT"
] | 1 | 2022-01-05T07:38:06.000Z | 2022-01-05T07:38:06.000Z | InApp.py | LHoBiz/ols_engine | 9bdbd827f7be17aee95d416255a7f483472c4315 | [
"MIT"
] | null | null | null | InApp.py | LHoBiz/ols_engine | 9bdbd827f7be17aee95d416255a7f483472c4315 | [
"MIT"
] | null | null | null | # -*- coding: cp1252 -*-
import sys
import os
import math
import OLSDims
import EnvSettings
from osgeo import osr
import mdl
ip = mdl.Data()
f=ip.f
AppOLS = OLSDims.AppDim.AppOLS
AppOLSNAME=OLSDims.AppDim.AppOLSNAME
AppOLSDIMS=OLSDims.AppDim.AppOLSDIMS
NRunwayInfo=ip.NRunwayInfo
SRunwayInfo=ip.SRunwayInfo
NIns = ip.NI... | 34.30531 | 98 | 0.402554 |
4a10521b6b4c4eb6dfff3e7e4d661dc62a5ce115 | 7,835 | py | Python | bot.py | ARBNonay32/DnD_CascenE | b09d4633aa1401d722517fc94dc1ed40560908eb | [
"MIT"
] | null | null | null | bot.py | ARBNonay32/DnD_CascenE | b09d4633aa1401d722517fc94dc1ed40560908eb | [
"MIT"
] | null | null | null | bot.py | ARBNonay32/DnD_CascenE | b09d4633aa1401d722517fc94dc1ed40560908eb | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import nest_asyncio
nest_asyncio.apply()
import os, ssl
if (not os.environ.get('PYTHONHTTPSVERIFY', '') and getattr(ssl, '_create_unverified_context', None)):
ssl._create_default_https_context = ssl._create_unverified_context
#import discord
from discord.ext import commands
import cv2
fr... | 24.561129 | 119 | 0.555329 |
4a1052aac6c7ee3c8b6e37dda72f4cca84cc717a | 13,397 | py | Python | python/example_code/s3/file_transfer/demo_file_transfer.py | AllanFly120/aws-doc-sdk-examples | 380d46c4af7192d8bc73b2ea941f92f60500cf2d | [
"Apache-2.0"
] | 1 | 2020-03-09T17:23:38.000Z | 2020-03-09T17:23:38.000Z | python/example_code/s3/file_transfer/demo_file_transfer.py | AllanFly120/aws-doc-sdk-examples | 380d46c4af7192d8bc73b2ea941f92f60500cf2d | [
"Apache-2.0"
] | null | null | null | python/example_code/s3/file_transfer/demo_file_transfer.py | AllanFly120/aws-doc-sdk-examples | 380d46c4af7192d8bc73b2ea941f92f60500cf2d | [
"Apache-2.0"
] | 1 | 2020-01-27T20:42:30.000Z | 2020-01-27T20:42:30.000Z | #
# Copyright 2020 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# This file is licensed under the Apache License, Version 2.0 (the "License").
# You may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# This file is dist... | 39.058309 | 81 | 0.623871 |
4a1053654f4f34eb5af21add8424debd753f6fcd | 3,942 | py | Python | oarepo_communities/api.py | oarepo/oarepo-communities | eb05dbdd5caf29e8741df5213456220d8f359cfa | [
"MIT"
] | null | null | null | oarepo_communities/api.py | oarepo/oarepo-communities | eb05dbdd5caf29e8741df5213456220d8f359cfa | [
"MIT"
] | 24 | 2021-02-01T17:30:33.000Z | 2022-02-08T09:54:22.000Z | oarepo_communities/api.py | oarepo/oarepo-communities | eb05dbdd5caf29e8741df5213456220d8f359cfa | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (C) 2021 CESNET.
#
# OARepo-Communities is free software; you can redistribute it and/or modify
# it under the terms of the MIT License; see LICENSE file for more details.
"""OArepo module that adds support for communities"""
import sqlalchemy
from flask import current_app
from in... | 36.841121 | 87 | 0.660832 |
4a105453151158fe7f108cff9a1eaa8a0e0fcef0 | 3,995 | py | Python | source/process_global_variables.py | WuphonsReach/BeggarsDiplomacy | e6b7f3790e28f458eca0a42250a6bbf41bef8d30 | [
"MIT"
] | 14 | 2018-09-20T23:01:27.000Z | 2021-05-25T11:05:09.000Z | source/process_global_variables.py | WuphonsReach/BeggarsDiplomacy | e6b7f3790e28f458eca0a42250a6bbf41bef8d30 | [
"MIT"
] | 44 | 2018-09-15T03:05:50.000Z | 2022-03-22T02:46:24.000Z | source/process_global_variables.py | WuphonsReach/BeggarsDiplomacy | e6b7f3790e28f458eca0a42250a6bbf41bef8d30 | [
"MIT"
] | 13 | 2018-10-02T11:45:24.000Z | 2021-08-22T18:41:44.000Z | #import string
#import types
from module_info import *
from module_triggers import *
from module_dialogs import *
from module_simple_triggers import *
from module_presentations import *
from module_variables import *
from process_common import *
from process_operations import *
#-----------------------------------... | 29.813433 | 135 | 0.717647 |
4a1055e910f2b5dff285720613a9b37ce29fb75e | 4,090 | py | Python | RsaEncryptionOaepSha256String/RsaEncryptionOaepSha256.py | likloadm/cross_platform_crypto | e828c9c9504c022d3882d174f7a8fd424aa19991 | [
"Unlicense"
] | 15 | 2020-11-14T09:50:50.000Z | 2022-03-13T16:39:19.000Z | RsaEncryptionOaepSha256String/RsaEncryptionOaepSha256.py | likloadm/cross_platform_crypto | e828c9c9504c022d3882d174f7a8fd424aa19991 | [
"Unlicense"
] | 1 | 2021-04-26T07:42:27.000Z | 2021-07-06T07:39:17.000Z | RsaEncryptionOaepSha256String/RsaEncryptionOaepSha256.py | likloadm/cross_platform_crypto | e828c9c9504c022d3882d174f7a8fd424aa19991 | [
"Unlicense"
] | 6 | 2021-11-03T11:28:36.000Z | 2022-03-16T13:03:20.000Z | from Crypto.PublicKey import RSA
from Crypto.Cipher import PKCS1_OAEP
from Crypto.Hash import SHA256
import base64
def base64Encoding(input):
dataBase64 = base64.b64encode(input)
dataBase64P = dataBase64.decode("UTF-8")
return dataBase64P
def base64Decoding(input):
return base64.decodebytes(input... | 44.456522 | 94 | 0.839609 |
4a10568d86aff60ddd208382f4b54a4e1e0cb9e5 | 7,853 | py | Python | tensorflow_graphics/geometry/deformation_energy/tests/as_conformal_as_possible_test.py | jackd/graphics | 736b99a3306e302674a9b7599e3e2857b85fdb74 | [
"Apache-2.0"
] | null | null | null | tensorflow_graphics/geometry/deformation_energy/tests/as_conformal_as_possible_test.py | jackd/graphics | 736b99a3306e302674a9b7599e3e2857b85fdb74 | [
"Apache-2.0"
] | null | null | null | tensorflow_graphics/geometry/deformation_energy/tests/as_conformal_as_possible_test.py | jackd/graphics | 736b99a3306e302674a9b7599e3e2857b85fdb74 | [
"Apache-2.0"
] | 1 | 2020-04-11T10:37:36.000Z | 2020-04-11T10:37:36.000Z | # Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, s... | 42.912568 | 84 | 0.663823 |
4a1056b38fda05e8c12a1c4fca5d13db0a01eca6 | 3,402 | py | Python | main.py | PotatoHD1/KlainMakklasky | 898e5dc25d4eb4112a669afdb2456260ee240fb0 | [
"MIT"
] | 1 | 2021-04-12T08:15:08.000Z | 2021-04-12T08:15:08.000Z | main.py | PotatoHD1/KlainMakklasky | 898e5dc25d4eb4112a669afdb2456260ee240fb0 | [
"MIT"
] | null | null | null | main.py | PotatoHD1/KlainMakklasky | 898e5dc25d4eb4112a669afdb2456260ee240fb0 | [
"MIT"
] | null | null | null | import collections
import pandas as pd
import random
def F4(table, inp, res):
temp = dict(table)
for k in res:
table = dict(temp)
for i in inp:
f = F1(bin(i + 16)[3:])
if i in k[0]:
table[f] -= 1
if all([i > 0 for i in table.values()]):
... | 24.3 | 94 | 0.423868 |
4a1056c96214cb38d86a8593d5de26ccd86eb2a5 | 2,390 | py | Python | src/python/coref/models/entity/TitleModel.py | nmonath/coref_tools | 542659170897ad05f7612639cb918886859ae9d6 | [
"Apache-2.0"
] | null | null | null | src/python/coref/models/entity/TitleModel.py | nmonath/coref_tools | 542659170897ad05f7612639cb918886859ae9d6 | [
"Apache-2.0"
] | null | null | null | src/python/coref/models/entity/TitleModel.py | nmonath/coref_tools | 542659170897ad05f7612639cb918886859ae9d6 | [
"Apache-2.0"
] | null | null | null | """
Copyright (C) 2018 University of Massachusetts Amherst.
This file is part of "coref_tools"
http://github.com/nmonath/coref_tools
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.... | 33.194444 | 72 | 0.641423 |
4a1056e2eeac6344989c69776f621fd3ea9d4699 | 347 | py | Python | cd2vec/python/my_test/func4.py | Kirili4ik/code2vec | 4867647eb68ec3708fb77d3500d4f3fc48331374 | [
"MIT"
] | 2 | 2020-08-11T13:33:02.000Z | 2020-10-27T05:07:05.000Z | cd2vec/python/my_test/func4.py | Kirili4ik/code2vec | 4867647eb68ec3708fb77d3500d4f3fc48331374 | [
"MIT"
] | 2 | 2020-12-03T13:15:55.000Z | 2022-02-10T02:06:22.000Z | cd2vec/python/my_test/func4.py | Kirili4ik/code2vec | 4867647eb68ec3708fb77d3500d4f3fc48331374 | [
"MIT"
] | 2 | 2021-04-08T14:51:01.000Z | 2021-09-22T07:57:37.000Z | def plotting():
ts_fare_diff = log_ts_fare - log_ts_fare.shift()
ts_fare_diff.dropna(inplace = True)t1 = plot_line(ts_fare_diff.index,ts_fare_diff['fare_amount'],
'blue','Differenced log series')
lay = plot_layout('Differenced log series')
fig = go.Figure(data = [t1],layout=lay)
py.iplot(fig)stati... | 34.7 | 98 | 0.723343 |
4a105713da4ee2e0d6bd9e405ac25d6faa27802e | 3,346 | py | Python | hw3/china.py | dgketchum/csci547 | bbba91c1cd09f672342b11280f79e551968a0037 | [
"Apache-2.0"
] | null | null | null | hw3/china.py | dgketchum/csci547 | bbba91c1cd09f672342b11280f79e551968a0037 | [
"Apache-2.0"
] | null | null | null | hw3/china.py | dgketchum/csci547 | bbba91c1cd09f672342b11280f79e551968a0037 | [
"Apache-2.0"
] | null | null | null | # =============================================================================================
# Copyright 2018 dgketchum
#
# 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.apach... | 32.173077 | 96 | 0.639868 |
4a1057b6fdeba601577f38260adc6c6bc812b7d6 | 2,503 | py | Python | TrackerDash/templates/logpage.py | wedgieedward/TrackerDash | 53c3ecc7b9124740f05847dbd235b068601c621e | [
"Beerware"
] | null | null | null | TrackerDash/templates/logpage.py | wedgieedward/TrackerDash | 53c3ecc7b9124740f05847dbd235b068601c621e | [
"Beerware"
] | 2 | 2015-04-08T23:20:35.000Z | 2015-04-08T23:21:57.000Z | TrackerDash/templates/logpage.py | wedgieedward/TrackerDash | 53c3ecc7b9124740f05847dbd235b068601c621e | [
"Beerware"
] | null | null | null | from twisted.web.template import XMLFile, renderer, XMLString
from twisted.python.filepath import FilePath
from TrackerDash.templates.basewebpage import BasePage
class LogPage(BasePage):
"""
LogPage
"""
DEFAULT_TAG = XMLString('<span class="label label-default"> Log </span>')
INFO_TAG = XMLString... | 31.683544 | 79 | 0.609668 |
4a1057f3f0f57643fd54c4aa7a355978ea31169c | 1,490 | py | Python | util/syn_gen.py | yangop8/Noah-GED | 31c6a737321c227d25c787625b3fe1cc2846f51e | [
"MIT"
] | 5 | 2021-09-01T15:53:30.000Z | 2022-03-26T13:37:24.000Z | util/syn_gen.py | yangop8/Noah-GED | 31c6a737321c227d25c787625b3fe1cc2846f51e | [
"MIT"
] | 1 | 2021-10-12T13:16:38.000Z | 2021-10-12T13:16:38.000Z | util/syn_gen.py | yangop8/Noah-GED | 31c6a737321c227d25c787625b3fe1cc2846f51e | [
"MIT"
] | 1 | 2021-12-21T11:53:36.000Z | 2021-12-21T11:53:36.000Z | import networkx as nx
import random
import os
data_path = '/home/yanglei/GraphEditDistance/Syn/test/'
if not os.path.exists(data_path):
os.makedirs(data_path)
nodes = 100
for i in range(2000):
G = nx.fast_gnp_random_graph(nodes,0.2)
nx.write_gexf(G,data_path+str(i)+'_1.gexf')
edge_num = nx.number_of_e... | 38.205128 | 95 | 0.679195 |
4a105871116583bf46b7c172518ce031100a958e | 4,098 | py | Python | ARCHIVE/mozlz4a.py | nodiscc/toolbox | 84c0a917369fc2d0efd471c8606725ac407c2c9f | [
"Unlicense",
"MIT"
] | 10 | 2017-05-27T16:59:00.000Z | 2022-03-28T02:30:55.000Z | ARCHIVE/mozlz4a.py | nodiscc/toolbox | 84c0a917369fc2d0efd471c8606725ac407c2c9f | [
"Unlicense",
"MIT"
] | null | null | null | ARCHIVE/mozlz4a.py | nodiscc/toolbox | 84c0a917369fc2d0efd471c8606725ac407c2c9f | [
"Unlicense",
"MIT"
] | 2 | 2018-03-03T18:40:25.000Z | 2018-03-05T06:09:47.000Z | #!/usr/bin/env python
#
#Description: Decompressor/compressor for files in Mozilla's "mozLz4" format
# Firefox uses this file format to compress e. g. bookmark backups (*.jsonlz4).
#
# This file format is in fact just plain LZ4 data with a custom header (magic number [8 bytes] and
# uncompressed file size [4 bytes, lit... | 35.327586 | 109 | 0.695705 |
4a10599c9bd064d5e27114757131f1c9a6619736 | 543 | py | Python | rogal/__main__.py | kosciak/ecs-rogal | d553104e0ea350d11272d274a900419620b9389e | [
"MIT"
] | 4 | 2021-01-23T13:25:46.000Z | 2021-03-19T03:08:05.000Z | rogal/__main__.py | kosciak/ecs-rogal | d553104e0ea350d11272d274a900419620b9389e | [
"MIT"
] | null | null | null | rogal/__main__.py | kosciak/ecs-rogal | d553104e0ea350d11272d274a900419620b9389e | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import argparse
from . import main
if __name__ == "__main__":
parser = argparse.ArgumentParser()
# parser.add_argument(
# 'wrapper',
# nargs='?',
# choices=sorted(main.WRAPPERS.keys()),
# default='tcod',
# )
for wrapper in sorted(main.WRAPPERS... | 19.392857 | 80 | 0.585635 |
4a1059fdc99a880d7a8f4ba6f1b8e52c4672c814 | 1,283 | py | Python | imlib/image/objects.py | noisysky/imlib | 625193be4a586d9040a48df9d51dbdd3a17c7d06 | [
"MIT"
] | null | null | null | imlib/image/objects.py | noisysky/imlib | 625193be4a586d9040a48df9d51dbdd3a17c7d06 | [
"MIT"
] | 6 | 2020-04-17T12:02:56.000Z | 2020-05-12T15:20:18.000Z | imlib/image/objects.py | noisysky/imlib | 625193be4a586d9040a48df9d51dbdd3a17c7d06 | [
"MIT"
] | 4 | 2020-02-05T18:53:30.000Z | 2022-02-21T18:50:14.000Z | import numpy as np
from skimage.measure import label
def get_largest_non_zero_object(label_image):
"""
In a labelled (each object assigned an int) numpy array. Return the
largest object with a value >= 1.
:param label_image: Output of skimage.measure.label
:return: Boolean numpy array or largest o... | 32.075 | 75 | 0.696804 |
4a105a4c4aaa37aee07d4029794be791db13d82a | 3,888 | py | Python | Tests/uninitialized_local_variable_rule_test.py | colobot/colobot-lint | 30921edb55b49dbda27d645357e24d6d22f5c48f | [
"BSD-3-Clause"
] | 7 | 2015-08-28T14:26:51.000Z | 2020-05-18T01:37:27.000Z | Tests/uninitialized_local_variable_rule_test.py | piotrdz/colobot-lint | 30921edb55b49dbda27d645357e24d6d22f5c48f | [
"BSD-3-Clause"
] | 7 | 2015-07-31T20:54:10.000Z | 2015-08-24T22:26:55.000Z | Tests/uninitialized_local_variable_rule_test.py | piotrdz/colobot-lint | 30921edb55b49dbda27d645357e24d6d22f5c48f | [
"BSD-3-Clause"
] | 2 | 2015-09-09T15:11:28.000Z | 2018-11-14T20:34:35.000Z | import test_support
class UnintializedLocalVariableRuleTest(test_support.TestBase):
def setUp(self):
self.set_default_rules_selection(['UninitializedLocalVariableRule'])
self.set_default_error_id('uninitialized local variable')
self.set_default_error_severity('error')
def test_function... | 34.40708 | 141 | 0.434928 |
4a105b96ca8818b95ecb626a22f89bf5982988c4 | 2,079 | py | Python | scripts/eval/evaluate_loss.py | galberding/FleckDetect | 787a3306261754a15f32e69ca57599f81cb378fa | [
"Apache-2.0"
] | null | null | null | scripts/eval/evaluate_loss.py | galberding/FleckDetect | 787a3306261754a15f32e69ca57599f81cb378fa | [
"Apache-2.0"
] | 1 | 2022-03-12T00:10:08.000Z | 2022-03-12T00:10:08.000Z | scripts/eval/evaluate_loss.py | galberding/FleckDetect | 787a3306261754a15f32e69ca57599f81cb378fa | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""
Short script used to extract the minimal loss value
and plot values from csv files.
"""
import argparse
import sys
import numpy as np
import matplotlib.pyplot as plt
def parse_loss_csv(filename):
iterations = []
losses = []
min_loss = sys.maxsize
min_index = -1
index =... | 28.479452 | 139 | 0.611833 |
4a105bcaff9650e687a442f45fed5955a561b9e1 | 5,762 | py | Python | xharvest/handlers/main.py | vyscond/py-xharvest | 10cb6a78ddd86d2b0cf73f1eaaf47d97e839fbe8 | [
"MIT"
] | null | null | null | xharvest/handlers/main.py | vyscond/py-xharvest | 10cb6a78ddd86d2b0cf73f1eaaf47d97e839fbe8 | [
"MIT"
] | 21 | 2020-04-26T18:22:24.000Z | 2020-08-09T23:23:20.000Z | xharvest/handlers/main.py | vyscond/py-xharvest | 10cb6a78ddd86d2b0cf73f1eaaf47d97e839fbe8 | [
"MIT"
] | null | null | null | from datetime import datetime
from gi.repository import Gtk
from gi.repository import Gdk
from xharvest.data import get_img_path
from xharvest.auth import AuthenticationManager
from xharvest.threads import GtkThread
from xharvest.threads import gtk_thread_cb
from xharvest.models import Shortcuts
from xharvest.handlers.... | 38.15894 | 80 | 0.634675 |
4a105c84c5e46f611ef6884abba0e2b90ba66ef1 | 5,279 | py | Python | src/freemoovr/geometry/rectangle.py | loopbio/FreemooVR | 5d22951f869621dda27fb10c501253c02374c3a7 | [
"Zlib"
] | 1 | 2021-05-20T06:55:09.000Z | 2021-05-20T06:55:09.000Z | src/freemoovr/geometry/rectangle.py | loopbio/FreemooVR | 5d22951f869621dda27fb10c501253c02374c3a7 | [
"Zlib"
] | 3 | 2016-08-05T12:56:12.000Z | 2016-08-09T14:20:09.000Z | src/freemoovr/geometry/rectangle.py | loopbio/FreemooVR | 5d22951f869621dda27fb10c501253c02374c3a7 | [
"Zlib"
] | null | null | null | from freemoovr.geometry.common import ModelBase, point_dict_to_vec
import numpy as np
class PlanarRectangle(ModelBase):
def __init__(self, lowerleft=None, upperleft=None, lowerright=None):
self.left_lower_corner = point_dict_to_vec(lowerleft)
self.left_upper_corner = point_dict_to_vec(upperleft)
... | 36.916084 | 109 | 0.562796 |
4a105c894f01b68f1d2a372c617dc8bd30471954 | 4,239 | py | Python | gcalcli/utils.py | shaicoleman/gcalcli | 96f7cf45e4f8180923ec27776e932cba954f08ce | [
"MIT"
] | null | null | null | gcalcli/utils.py | shaicoleman/gcalcli | 96f7cf45e4f8180923ec27776e932cba954f08ce | [
"MIT"
] | 1 | 2020-06-18T16:11:47.000Z | 2020-06-18T16:11:47.000Z | gcalcli/utils.py | shaicoleman/gcalcli | 96f7cf45e4f8180923ec27776e932cba954f08ce | [
"MIT"
] | null | null | null | import calendar
import time
import locale
import re
from dateutil.tz import tzlocal
from dateutil.parser import parse as dateutil_parse
from datetime import datetime, timedelta
from parsedatetime.parsedatetime import Calendar
locale.setlocale(locale.LC_ALL, '')
fuzzy_date_parse = Calendar().parse
fuzzy_datetime_parse... | 29.034247 | 77 | 0.588818 |
4a105e0ded4ab89c3f6a7f84b1aebaa7b0db390a | 2,810 | py | Python | docs_src/source/conf.py | seeq12/seeq-udf-ui | 96a7151abc46ad18b6faae78be27a420ddbd1a48 | [
"Apache-2.0"
] | null | null | null | docs_src/source/conf.py | seeq12/seeq-udf-ui | 96a7151abc46ad18b6faae78be27a420ddbd1a48 | [
"Apache-2.0"
] | 5 | 2022-03-01T00:32:22.000Z | 2022-03-23T21:14:15.000Z | docs_src/source/conf.py | seeq12/seeq-udf-ui | 96a7151abc46ad18b6faae78be27a420ddbd1a48 | [
"Apache-2.0"
] | null | null | null | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | 33.452381 | 79 | 0.690747 |
4a105ea1cb5adf3df6c1cfeb86c3bfdae1d17417 | 1,645 | py | Python | panda/models/user_proxy.py | newsapps/panda | 7553fd8cbc9c9c92a1b8be2e073141ec1b2ef903 | [
"MIT"
] | 4 | 2015-07-28T19:01:03.000Z | 2018-12-21T01:57:03.000Z | panda/models/user_proxy.py | NUKnightLab/panda | c8b81151cad9f23ecd439e4354e86cca1eb49bb1 | [
"MIT"
] | null | null | null | panda/models/user_proxy.py | NUKnightLab/panda | c8b81151cad9f23ecd439e4354e86cca1eb49bb1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from django.contrib.auth.models import User
from django.conf import settings
from panda import solr
class UserProxy(User):
"""
User Django's ProxyModel concept to track changes to the User
model without overriding it. This way related datasets can be
updated when user details ch... | 32.9 | 106 | 0.662006 |
4a105efd8b20263e48319c151d4f0958952d4e34 | 297 | py | Python | accounts/forms.py | arkarhtethan/django-library-management-system | f505b85f9609e62e30d4459f8028a6b5418fbf7d | [
"MIT"
] | 1 | 2022-01-17T06:28:44.000Z | 2022-01-17T06:28:44.000Z | accounts/forms.py | arkarhtethan/django-library-management-system | f505b85f9609e62e30d4459f8028a6b5418fbf7d | [
"MIT"
] | 10 | 2020-06-05T22:48:54.000Z | 2022-03-11T23:57:22.000Z | accounts/forms.py | arkarhtethan/django-library-management-system | f505b85f9609e62e30d4459f8028a6b5418fbf7d | [
"MIT"
] | 1 | 2020-06-05T11:23:57.000Z | 2020-06-05T11:23:57.000Z | from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from django import forms
class SignUpForm(UserCreationForm):
email = forms.EmailField()
class Meta:
model = User
fields = ('username', 'email', 'password1', 'password2') | 22.846154 | 64 | 0.713805 |
4a105f5a34532cf85e46526dddc4b28f3788c7cd | 13,663 | py | Python | models/egan_model.py | shiming-chen/CDE-GAN | 6d67dfee5087fdd91791a33a7f73bb5914678ff0 | [
"MIT"
] | 9 | 2020-09-08T07:53:55.000Z | 2022-01-17T12:23:59.000Z | models/egan_model.py | shiming-chen/CDE-GAN | 6d67dfee5087fdd91791a33a7f73bb5914678ff0 | [
"MIT"
] | 2 | 2020-09-08T07:53:03.000Z | 2021-03-23T01:29:21.000Z | models/egan_model.py | shiming-chen/CDE-GAN | 6d67dfee5087fdd91791a33a7f73bb5914678ff0 | [
"MIT"
] | 1 | 2021-12-21T09:04:38.000Z | 2021-12-21T09:04:38.000Z | """Model class template
This module provides a template for users to implement custom models.
You can specify '--model template' to use this model.
The class name should be consistent with both the filename and its model option.
The filename should be <model>_dataset.py
The class name should be <Model>Dataset.py
It im... | 49.147482 | 170 | 0.616629 |
4a105f9a8494e298740f0e1d1c2d8342fb96e1b0 | 8,647 | py | Python | google-cloud-recaptcha_enterprise/synth.py | pradeepbhadani/google-cloud-ruby | 765eac0f1a5277cb113293bf2fd271e1495a12f5 | [
"Apache-2.0"
] | null | null | null | google-cloud-recaptcha_enterprise/synth.py | pradeepbhadani/google-cloud-ruby | 765eac0f1a5277cb113293bf2fd271e1495a12f5 | [
"Apache-2.0"
] | null | null | null | google-cloud-recaptcha_enterprise/synth.py | pradeepbhadani/google-cloud-ruby | 765eac0f1a5277cb113293bf2fd271e1495a12f5 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, s... | 32.753788 | 130 | 0.683821 |
4a105f9f496ffbbc59e57e75c45afe70028d2868 | 4,238 | py | Python | model/resnet.py | venuc13/CIFARConfidenceSet | f9505d753c77465e005db83600ccc00a996e2930 | [
"Apache-2.0"
] | null | null | null | model/resnet.py | venuc13/CIFARConfidenceSet | f9505d753c77465e005db83600ccc00a996e2930 | [
"Apache-2.0"
] | null | null | null | model/resnet.py | venuc13/CIFARConfidenceSet | f9505d753c77465e005db83600ccc00a996e2930 | [
"Apache-2.0"
] | null | null | null | '''ResNet in PyTorch.
For Pre-activation ResNet, see 'preact_resnet.py'.
Reference:
[1] Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
Deep Residual Learning for Image Recognition. arXiv:1512.03385
'''
import torch
import torch.nn as nn
import torch.nn.functional as F
class BasicBlock(nn.Module):
... | 33.904 | 84 | 0.577159 |
4a1060ac497dceea673991e85b49ec33716319d8 | 1,689 | py | Python | packages/tencent-cloud-sdk-core/tencent/cloud/core/__init__.py | nobody-night/tencent-cloud-sdk-python | 4b02c49c587da002c96fff6cadbd0cf6dbae40f9 | [
"MIT"
] | 3 | 2020-07-31T13:29:20.000Z | 2021-04-07T09:06:39.000Z | packages/tencent-cloud-sdk-core/tencent/cloud/core/__init__.py | nobody-night/tencent-cloud-sdk-python | 4b02c49c587da002c96fff6cadbd0cf6dbae40f9 | [
"MIT"
] | null | null | null | packages/tencent-cloud-sdk-core/tencent/cloud/core/__init__.py | nobody-night/tencent-cloud-sdk-python | 4b02c49c587da002c96fff6cadbd0cf6dbae40f9 | [
"MIT"
] | 1 | 2020-02-06T16:54:56.000Z | 2020-02-06T16:54:56.000Z | # tencent.cloud.core.__init__ is python-3.6 source file
# MIT License
#
# Copyright (c) 2021 Handle.
#
# 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 withou... | 38.386364 | 80 | 0.762581 |
4a10613321f7530b95af7ad4035e7d5677eed42a | 61,248 | py | Python | srctools/dmx.py | TeamSpen210/srctools | 0ccea9bc9e00236dd452518af8a7b4ac31e23150 | [
"MIT"
] | 29 | 2016-06-12T17:35:50.000Z | 2022-03-25T08:37:56.000Z | srctools/dmx.py | TeamSpen210/srctools | 0ccea9bc9e00236dd452518af8a7b4ac31e23150 | [
"MIT"
] | 8 | 2020-09-22T00:22:35.000Z | 2021-12-04T00:53:07.000Z | srctools/dmx.py | TeamSpen210/srctools | 0ccea9bc9e00236dd452518af8a7b4ac31e23150 | [
"MIT"
] | 12 | 2018-09-03T10:39:46.000Z | 2022-01-18T13:21:22.000Z | """Handles DataModel eXchange trees, in both binary and text (keyvalues2) format.
As an extension, optionally all strings may become full UTF-8, marked by a new
set of 'unicode_XXX' encoding formats.
"""
import struct
import sys
from enum import Enum
from typing import (
Union, NamedTuple, TypeVar, Generic, NewTyp... | 37.621622 | 128 | 0.556622 |
4a1063a24b6461ef3609c112f94ed92a4179a45f | 865 | py | Python | tests/area_attention/test_multi_head_area_attention.py | mikomel/area-attention | 06f219e9067b473da33a1c4b087778641012e8c8 | [
"MIT"
] | 8 | 2020-11-26T03:02:34.000Z | 2022-02-04T08:41:10.000Z | tests/area_attention/test_multi_head_area_attention.py | mikomel/area-attention | 06f219e9067b473da33a1c4b087778641012e8c8 | [
"MIT"
] | null | null | null | tests/area_attention/test_multi_head_area_attention.py | mikomel/area-attention | 06f219e9067b473da33a1c4b087778641012e8c8 | [
"MIT"
] | 1 | 2021-12-23T06:18:11.000Z | 2021-12-23T06:18:11.000Z | import pytest
import torch
from area_attention import AreaAttention, MultiHeadAreaAttention
area_attention = AreaAttention(
key_query_size=32,
area_key_mode='max',
area_value_mode='mean',
max_area_height=2,
max_area_width=2,
memory_height=4,
memory_width=4,
dropout_rate=0.2,
top_k_... | 23.378378 | 64 | 0.677457 |
4a1063e1c85cfa49cd421ea140d4635841c82fd4 | 18,031 | py | Python | rally/common/db/sqlalchemy/api.py | ewhseo/rally | 37e5475b7785e987173e118e89dbab357cd64b66 | [
"Apache-2.0"
] | null | null | null | rally/common/db/sqlalchemy/api.py | ewhseo/rally | 37e5475b7785e987173e118e89dbab357cd64b66 | [
"Apache-2.0"
] | null | null | null | rally/common/db/sqlalchemy/api.py | ewhseo/rally | 37e5475b7785e987173e118e89dbab357cd64b66 | [
"Apache-2.0"
] | null | null | null | # Copyright 2013: Mirantis 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 obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required b... | 34.741811 | 79 | 0.615828 |
4a1064744f3c459c03eb09ea55e06674a1a41bf9 | 430 | py | Python | app/tests/utils/utils.py | nubilfi/fastapi-starter-kit | 99a326099c3446584dd0ef18b123c42ba360d364 | [
"MIT"
] | null | null | null | app/tests/utils/utils.py | nubilfi/fastapi-starter-kit | 99a326099c3446584dd0ef18b123c42ba360d364 | [
"MIT"
] | 1 | 2021-03-17T08:24:12.000Z | 2021-03-17T08:24:12.000Z | app/tests/utils/utils.py | nubilfi/fastapi-starter-kit | 99a326099c3446584dd0ef18b123c42ba360d364 | [
"MIT"
] | null | null | null | """
Just a utils function
"""
import random
import string
def random_lower_string() -> str:
"""generate random lowercase str"""
return "".join(random.choices(string.ascii_lowercase, k=32))
def random_email() -> str:
"""generate a random email"""
return f"{random_lower_string()}@{random_lower_string(... | 20.47619 | 65 | 0.686047 |
4a1064b76d1c8c75368d950c82e0ea5412c63761 | 636 | py | Python | move.py | jpgualdarrama/pokescrape | dcfed3fc7b887c2c7c4720ef414247aa79dc749b | [
"MIT"
] | 21 | 2015-03-28T15:30:05.000Z | 2020-08-03T12:27:27.000Z | move.py | jpgualdarrama/pokescrape | dcfed3fc7b887c2c7c4720ef414247aa79dc749b | [
"MIT"
] | 1 | 2015-04-28T22:19:51.000Z | 2015-04-29T00:37:57.000Z | move.py | jpgualdarrama/pokescrape | dcfed3fc7b887c2c7c4720ef414247aa79dc749b | [
"MIT"
] | 3 | 2016-12-08T18:55:53.000Z | 2020-01-30T03:04:49.000Z | from pk import *
class Move:
def __init__(self):
self.name = 'None'
self.type = 0
self.pp = 0
self.power = 0
self.accuracy = 0
self.category = 0
self.damage = 0
self.description = 'None'
def __str__(self):
return ('Name: %s' % self.name +
'\nType: %i (%s)' % (self.type, PkIType[self.type]) +
... | 24.461538 | 76 | 0.59434 |
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