hexsha stringlengths 40 40 | size int64 2 1.05M | ext stringclasses 9
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 193 | max_stars_repo_name stringlengths 6 109 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 36.6k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 4 193 | max_issues_repo_name stringlengths 6 109 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 29.8k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 4 193 | max_forks_repo_name stringlengths 6 109 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 11.2k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 2 1.05M | avg_line_length float64 1 404k | max_line_length int64 1 1.03M | alphanum_fraction float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ff0d2fb07b826db96486d6ce43903364c29aff99 | 1,199 | py | Python | examples/run_quil.py | ecpeterson/pyquil | b0548d5c5f4ee75d4bcd301202a872a9152d212a | [
"Apache-2.0"
] | 2 | 2019-08-02T16:10:20.000Z | 2019-08-02T16:10:30.000Z | examples/run_quil.py | ecpeterson/pyquil | b0548d5c5f4ee75d4bcd301202a872a9152d212a | [
"Apache-2.0"
] | 2 | 2019-06-02T03:16:24.000Z | 2019-06-04T05:16:06.000Z | examples/run_quil.py | ecpeterson/pyquil | b0548d5c5f4ee75d4bcd301202a872a9152d212a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""
This module runs basic Quil text files against the Forest QVM API.
"""
from __future__ import print_function
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
from pyquil import Program, get_qc
help_string = "Script takes two arguments. Quil program filename is required as ... | 29.975 | 94 | 0.665555 |
ff0d46c2f0b5b3e940a2eb84770701191ad4707c | 3,006 | py | Python | find_all_m4vs.py | bdbaddog/misc-windows-tools | 62fa123442cecb79fe13a582b6f2ef436769f9ee | [
"MIT"
] | null | null | null | find_all_m4vs.py | bdbaddog/misc-windows-tools | 62fa123442cecb79fe13a582b6f2ef436769f9ee | [
"MIT"
] | null | null | null | find_all_m4vs.py | bdbaddog/misc-windows-tools | 62fa123442cecb79fe13a582b6f2ef436769f9ee | [
"MIT"
] | null | null | null | """
Find all files with .m4v extention in specified directory trees.
Then compare same name file's lengths
"""
import os
from os.path import join, getsize
import argparse
import pprint
SF_FILES = {}
PLEX_FILES = {}
ALL_FILES = {}
def process_cmdline():
"""
Process command line arguments and return them
""... | 29.184466 | 120 | 0.5998 |
ff0d68a794578f08acfcd1edb80f3f7ac0ff18b5 | 450 | py | Python | tests/generic/test_phrase_extractor.py | intellihr/interlagos | f09651b460f7f6030fcb9299be45eb83d199f136 | [
"MIT"
] | null | null | null | tests/generic/test_phrase_extractor.py | intellihr/interlagos | f09651b460f7f6030fcb9299be45eb83d199f136 | [
"MIT"
] | null | null | null | tests/generic/test_phrase_extractor.py | intellihr/interlagos | f09651b460f7f6030fcb9299be45eb83d199f136 | [
"MIT"
] | null | null | null | from interlagos.generic import phrase_extractor
TOKENS = [
'cats', 'are', 'good', 'pets', 'for', 'they', 'are', 'clean', 'and', 'are',
'not', 'noisy'
]
def test_extract_n_gram_from(snapshot):
n_grams = phrase_extractor.extract_n_gram_from(TOKENS)
snapshot.assert_match(n_grams)
def test_extract_phr... | 23.684211 | 79 | 0.717778 |
ff0d6ada2fcfd187daaac5c0779f6a53ea282da0 | 249 | py | Python | hfpy_code/chapter5/page150.py | leobarros/use_cabeca_python | 4e0897a68fb7ef669ec05eab7cba9412baa0e85e | [
"Apache-2.0"
] | 1 | 2016-04-01T04:31:52.000Z | 2016-04-01T04:31:52.000Z | hfpython_code/hfpy_code/chapter5/page150.py | tdean1995/HFPythonSandbox | dc72257e4353c5bca7a2c401d18587c6d799f9a1 | [
"Apache-2.0"
] | null | null | null | hfpython_code/hfpy_code/chapter5/page150.py | tdean1995/HFPythonSandbox | dc72257e4353c5bca7a2c401d18587c6d799f9a1 | [
"Apache-2.0"
] | 1 | 2020-06-02T17:47:22.000Z | 2020-06-02T17:47:22.000Z |
def sanitize(time_string):
if '-' in time_string:
splitter = '-'
elif ':' in time_string:
splitter = ':'
else:
return(time_string)
(mins, secs) = time_string.split(splitter)
return(mins + '.' + secs)
| 22.636364 | 46 | 0.550201 |
ff0d6e5206e7287eca29278a597cc2974824c6fa | 7,942 | py | Python | docs/conf.py | ashwinjv/osms | 9c1f80d771e82342c16fa11de293c4609b7a3984 | [
"BSD-3-Clause"
] | null | null | null | docs/conf.py | ashwinjv/osms | 9c1f80d771e82342c16fa11de293c4609b7a3984 | [
"BSD-3-Clause"
] | null | null | null | docs/conf.py | ashwinjv/osms | 9c1f80d771e82342c16fa11de293c4609b7a3984 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Open Source Message Service documentation build configuration file, created by
# sphinx-quickstart.
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configu... | 32.284553 | 86 | 0.709141 |
ff0d99015730aac48f19e2a53e48ee1f5ad71ff1 | 746 | py | Python | wlmetrics/filter/mahony/__init__.py | hbldh/wlmetrics | 3c1580412783c758844a1089da478ed0479af02e | [
"MIT"
] | null | null | null | wlmetrics/filter/mahony/__init__.py | hbldh/wlmetrics | 3c1580412783c758844a1089da478ed0479af02e | [
"MIT"
] | null | null | null | wlmetrics/filter/mahony/__init__.py | hbldh/wlmetrics | 3c1580412783c758844a1089da478ed0479af02e | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
:mod:`madgwick`
==================
.. module:: madgwick
:platform: Unix, Windows
:synopsis:
.. moduleauthor:: hbldh <henrik.blidh@nedomkull.com>
Created on 2015-06-21, 20:36
"""
from __future__ import division
from __future__ import print_function
from __fut... | 19.128205 | 56 | 0.676944 |
ff0dacb8cc2a85048e0d2989782ef952f98d85ff | 18,724 | py | Python | src/empirical_fire_modelling/data/cv.py | akuhnregnier/empirical-fire-modelling | 4187f5bfce0595d98361a9264793c25607043047 | [
"MIT"
] | null | null | null | src/empirical_fire_modelling/data/cv.py | akuhnregnier/empirical-fire-modelling | 4187f5bfce0595d98361a9264793c25607043047 | [
"MIT"
] | null | null | null | src/empirical_fire_modelling/data/cv.py | akuhnregnier/empirical-fire-modelling | 4187f5bfce0595d98361a9264793c25607043047 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import logging
import math
from operator import itemgetter
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from scipy import ndimage
from wildfires.analysis import cube_plotting
from ..cache import cache, mark_dependency
from ..model import get_model_predict, threading_g... | 35.664762 | 93 | 0.634266 |
ff0dc124ce7fbcd2037e59bb37fe02b5c07f9002 | 12,299 | py | Python | hand.py | FlazeNaive/LeapPython | 3fb47e8f3e80c13bc24ebb7c74abd75247cad7e5 | [
"MIT"
] | 1 | 2021-09-05T13:32:00.000Z | 2021-09-05T13:32:00.000Z | hand.py | FlazeNaive/LeapPython | 3fb47e8f3e80c13bc24ebb7c74abd75247cad7e5 | [
"MIT"
] | null | null | null | hand.py | FlazeNaive/LeapPython | 3fb47e8f3e80c13bc24ebb7c74abd75247cad7e5 | [
"MIT"
] | 3 | 2021-05-19T07:07:39.000Z | 2021-09-05T14:12:11.000Z | # MIT License
#
# Copyright (c) 2021 dendenxu
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, m... | 38.554859 | 216 | 0.624604 |
ff0dc67c0b544a78f1123d30f5e527362df7fb8b | 5,184 | py | Python | src/segmentation/data/preprocessing/distance_maps/hover.py | prhuppertz/Burned_Area_Detection | 4091e8a5ba22c1db28b4accd71cf2994d544ffab | [
"Apache-2.0"
] | 5 | 2021-03-30T02:22:42.000Z | 2022-01-18T20:12:30.000Z | src/segmentation/data/preprocessing/distance_maps/hover.py | prhuppertz/Burned_Area_Detection | 4091e8a5ba22c1db28b4accd71cf2994d544ffab | [
"Apache-2.0"
] | null | null | null | src/segmentation/data/preprocessing/distance_maps/hover.py | prhuppertz/Burned_Area_Detection | 4091e8a5ba22c1db28b4accd71cf2994d544ffab | [
"Apache-2.0"
] | 3 | 2021-04-26T02:08:05.000Z | 2021-08-15T20:12:31.000Z | import numpy as np
from typeguard import typechecked
from scipy.ndimage import measurements
from skimage import morphology as morph
def _fix_mirror_padding(ann):
"""
Deal with duplicated instances due to mirroring in interpolation
during shape augmentation (scale, rotation etc.)
"""
current_max_id... | 32.810127 | 104 | 0.610918 |
ff0dd6b67754bdb2ebe4e9fee9cfd2fced7fa372 | 29,435 | py | Python | pandas/tests/groupby/test_transform.py | MaxVanDeursen/pandas | 9821b77de692716d7c2b62db1a68cac9ffc456c3 | [
"BSD-3-Clause"
] | 1 | 2019-03-25T09:31:34.000Z | 2019-03-25T09:31:34.000Z | pandas/tests/groupby/test_transform.py | MaxVanDeursen/pandas | 9821b77de692716d7c2b62db1a68cac9ffc456c3 | [
"BSD-3-Clause"
] | null | null | null | pandas/tests/groupby/test_transform.py | MaxVanDeursen/pandas | 9821b77de692716d7c2b62db1a68cac9ffc456c3 | [
"BSD-3-Clause"
] | null | null | null | """ test with the .transform """
import numpy as np
import pytest
from pandas._libs import groupby
from pandas.compat import StringIO
from pandas.core.dtypes.common import ensure_platform_int, is_timedelta64_dtype
import pandas as pd
from pandas import DataFrame, MultiIndex, Series, Timestamp, concat, date_range
fr... | 34.752066 | 79 | 0.576694 |
ff0de37a23ec379c4a7fad388c75336a23991afd | 12,901 | py | Python | tools/profile_video.py | regular/pyglet-avbin-optimizations | e93c0508a57c92c24cc22dee12be0a58b1fcf975 | [
"BSD-3-Clause"
] | 2 | 2017-05-10T08:27:22.000Z | 2019-10-05T14:55:00.000Z | tools/profile_video.py | regular/pyglet-avbin-optimizations | e93c0508a57c92c24cc22dee12be0a58b1fcf975 | [
"BSD-3-Clause"
] | null | null | null | tools/profile_video.py | regular/pyglet-avbin-optimizations | e93c0508a57c92c24cc22dee12be0a58b1fcf975 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# ----------------------------------------------------------------------------
# pyglet
# Copyright (c) 2006-2008 Alex Holkner
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are ... | 34.220159 | 117 | 0.626773 |
ff0de4fb14162529e121250aaef195f4fd43cd8f | 1,015 | py | Python | setup.py | ekiro/haps | 88d225e0177de0a0373d12d42d1b6a80437b8d5c | [
"MIT"
] | 38 | 2018-06-15T11:32:05.000Z | 2020-05-08T17:04:42.000Z | setup.py | ekiro/haps | 88d225e0177de0a0373d12d42d1b6a80437b8d5c | [
"MIT"
] | 4 | 2018-07-25T07:12:21.000Z | 2019-06-10T09:52:21.000Z | setup.py | ekiro/haps | 88d225e0177de0a0373d12d42d1b6a80437b8d5c | [
"MIT"
] | 2 | 2019-05-17T09:58:36.000Z | 2019-06-10T08:18:48.000Z | from setuptools import find_packages, setup
def readme():
with open('README.md') as f:
return f.read()
setup(
name='haps',
version='1.1.3',
packages=find_packages(),
url='https://github.com/ekiro/haps',
license='MIT License',
author='Piotr Karkut',
author_email='karkucik@gmai... | 29.852941 | 53 | 0.612808 |
ff0df5472159068c28aced2b9d99cb29db795784 | 73 | py | Python | apiAWS/twilioAPIAAA/test.py | Shangxz/MHacksDoorBell | 556b00a4f133f54bf28bb2b3d4619f0f0298a0ce | [
"MIT"
] | 1 | 2017-09-24T08:55:51.000Z | 2017-09-24T08:55:51.000Z | apiAWS/twilioAPIAAA/test.py | Shangxz/MHacksDoorBell | 556b00a4f133f54bf28bb2b3d4619f0f0298a0ce | [
"MIT"
] | 1 | 2021-06-01T21:42:47.000Z | 2021-06-01T21:42:47.000Z | apiAWS/twilioAPIAAA/test.py | Shangxz/MHacksDoorBell | 556b00a4f133f54bf28bb2b3d4619f0f0298a0ce | [
"MIT"
] | 3 | 2017-09-23T21:34:54.000Z | 2017-11-19T21:40:51.000Z | event = {"name":"griffin"}
text = "{}".format(event['name'])
print text | 14.6 | 33 | 0.60274 |
ff0e0572ef5793db5e5069a4bd74dfa62f5fde1b | 4,967 | py | Python | AlgorithmsPractice/python/212_hard_Word Search II.py | YangXiaoo/NoteBook | 37056acad7a05b876832f72ac34d3d1a41e0dd22 | [
"CNRI-Python",
"RSA-MD",
"CECILL-B"
] | 58 | 2019-03-03T04:42:23.000Z | 2022-01-13T04:36:31.000Z | AlgorithmsPractice/python/212_hard_Word Search II.py | YangXiaoo/NoteBook | 37056acad7a05b876832f72ac34d3d1a41e0dd22 | [
"CNRI-Python",
"RSA-MD",
"CECILL-B"
] | null | null | null | AlgorithmsPractice/python/212_hard_Word Search II.py | YangXiaoo/NoteBook | 37056acad7a05b876832f72ac34d3d1a41e0dd22 | [
"CNRI-Python",
"RSA-MD",
"CECILL-B"
] | 28 | 2019-08-11T01:25:00.000Z | 2021-08-22T06:46:06.000Z | '''
Given a 2D board and a list of words from the dictionary, find all words in the board.
Each word must be constructed from letters of sequentially adjacent cell, where "adjacent" cells are those horizontally or vertically neighboring. The same letter cell may not be used more than once in a word.
Example:
Input: ... | 34.020548 | 209 | 0.45762 |
ff0e2fed88d930bdca21c011607e1a49ee9b92b8 | 2,275 | py | Python | ekahau_mist_csv.py | Mist-Automation-Programmability/Ekahau-Mist-CSV-Export | 481895e8550176a9961c4354076d69d336f87592 | [
"MIT"
] | null | null | null | ekahau_mist_csv.py | Mist-Automation-Programmability/Ekahau-Mist-CSV-Export | 481895e8550176a9961c4354076d69d336f87592 | [
"MIT"
] | null | null | null | ekahau_mist_csv.py | Mist-Automation-Programmability/Ekahau-Mist-CSV-Export | 481895e8550176a9961c4354076d69d336f87592 | [
"MIT"
] | null | null | null | from csv import DictReader
import json
import pprint as pp
import sys
import argparse
import logging
import zipfile
import csv
log = logging.getLogger('onboarder')
def extract_esx_data(input_file, output_file):
project = {}
access_points = {}
try:
with zipfile.ZipFile(input_file, "r") as z:
... | 29.934211 | 86 | 0.585934 |
ff0e95f2ca581cef19f5f36fb23b9cddd96bd966 | 7,938 | py | Python | pavement.py | helq/pytropos | 497ed5902e6e4912249ca0a46b477f9bfa6ae80a | [
"MIT"
] | 4 | 2019-10-06T18:01:24.000Z | 2020-07-03T05:27:35.000Z | pavement.py | helq/pytropos | 497ed5902e6e4912249ca0a46b477f9bfa6ae80a | [
"MIT"
] | 5 | 2021-06-07T15:50:04.000Z | 2021-06-07T15:50:06.000Z | pavement.py | helq/pytropos | 497ed5902e6e4912249ca0a46b477f9bfa6ae80a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import print_function
import os
import subprocess
import sys
import time
from typing import List, Any
from paver.easy import options, task, needs, consume_args
from paver.setuputils import install_distutils_tasks
# Import parameters from the setup file.
sys.path.append('.')
... | 30.18251 | 79 | 0.627614 |
ff0ea4a40ae3d8ddb1c6006ef2fbf4547769a9fc | 3,628 | py | Python | mmedit/datasets/sr_glean_dataset.py | Serene99-09/mmediting | be49e33650627ac26fdd065fbbaff66f726e3fde | [
"Apache-2.0"
] | null | null | null | mmedit/datasets/sr_glean_dataset.py | Serene99-09/mmediting | be49e33650627ac26fdd065fbbaff66f726e3fde | [
"Apache-2.0"
] | null | null | null | mmedit/datasets/sr_glean_dataset.py | Serene99-09/mmediting | be49e33650627ac26fdd065fbbaff66f726e3fde | [
"Apache-2.0"
] | null | null | null | import copy
import numpy as np
import os.path as osp
import random
from .base_sr_dataset import BaseSRDataset
from .registry import DATASETS
import pdb
@DATASETS.register_module()
class SRGLEANDataset(BaseSRDataset):
def __init__(self,
gpen_lq_folder,
gpen_gt_folder,
... | 31.547826 | 141 | 0.60419 |
ff0eacb46efdcb79b8a1351c5c8c97dc88e12fa4 | 126 | py | Python | ipyhealth/__init__.py | mereldawu/ipyhealth | 0f2135e65ea1a0071a1397c88c22bc301584e51a | [
"MIT"
] | 5 | 2020-06-14T07:34:37.000Z | 2021-04-15T12:01:19.000Z | ipyhealth/__init__.py | mereldawu/ipyhealth | 0f2135e65ea1a0071a1397c88c22bc301584e51a | [
"MIT"
] | 2 | 2020-06-14T09:47:58.000Z | 2020-07-24T21:58:56.000Z | ipyhealth/__init__.py | mereldawu/ipyhealth | 0f2135e65ea1a0071a1397c88c22bc301584e51a | [
"MIT"
] | null | null | null | """Top-level package for ipyhealth."""
__author__ = """Merelda Wu"""
__email__ = 'merelda@melio.co.za'
__version__ = '0.1.0'
| 21 | 38 | 0.674603 |
ff0ec2739634669756ec71e763cc742469b7242c | 3,765 | py | Python | kanelbulle/gui/mainwindow.py | bttner/kanelbulle | 1246c6d9947609cb6cc151837457d4dbcf70c73a | [
"Apache-2.0"
] | null | null | null | kanelbulle/gui/mainwindow.py | bttner/kanelbulle | 1246c6d9947609cb6cc151837457d4dbcf70c73a | [
"Apache-2.0"
] | 8 | 2018-10-25T16:10:54.000Z | 2018-10-31T22:36:56.000Z | kanelbulle/gui/mainwindow.py | bttner/kanelbulle | 1246c6d9947609cb6cc151837457d4dbcf70c73a | [
"Apache-2.0"
] | null | null | null | """The main window of kanelbulle."""
from PyQt5.QtGui import QTextCursor
from PyQt5.QtWidgets import (QAction, QMainWindow, QStatusBar, QTabWidget,
QVBoxLayout, QWidget)
from kanelbulle.misc.socket import Server
from kanelbulle.utils import log
class MainWindow(QMainWindow):
"""The ... | 30.609756 | 74 | 0.609296 |
ff0ec4f1c6ec2636de3ff8eb0ede305505283c30 | 15,186 | py | Python | src/trackanimation/animation_backup2.py | diegopso/YAFS | 5e9d22bcea836cb3c8caef1d3f721f889536a54e | [
"MIT"
] | 1 | 2020-03-12T13:16:09.000Z | 2020-03-12T13:16:09.000Z | src/trackanimation/animation_backup2.py | mikesneider/YAFS | 1b805cb0dc5ceb438ab335c347750e1cb1cdd34a | [
"MIT"
] | null | null | null | src/trackanimation/animation_backup2.py | mikesneider/YAFS | 1b805cb0dc5ceb438ab335c347750e1cb1cdd34a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2017 Juan José Martín Miralles
#
# 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 appli... | 35.731765 | 118 | 0.562755 |
ff0f4314151a1592794563ee7df2a95b8ccc71bf | 850 | py | Python | tests/test_deprecation.py | ghettorce/pyspnego | 5376adb1b3fb7cfccd00be2317e85b7150f177a0 | [
"MIT"
] | 25 | 2020-05-23T10:17:46.000Z | 2022-02-21T16:52:02.000Z | tests/test_deprecation.py | ghettorce/pyspnego | 5376adb1b3fb7cfccd00be2317e85b7150f177a0 | [
"MIT"
] | 33 | 2020-07-04T00:05:55.000Z | 2022-03-15T23:20:29.000Z | tests/test_deprecation.py | ghettorce/pyspnego | 5376adb1b3fb7cfccd00be2317e85b7150f177a0 | [
"MIT"
] | 7 | 2020-08-27T03:44:46.000Z | 2022-01-21T04:50:05.000Z | # -*- coding: utf-8 -*-
# Copyright: (c) 2021, Jordan Borean (@jborean93) <jborean93@gmail.com>
# MIT License (see LICENSE or https://opensource.org/licenses/MIT)
import pytest
def test_gss_import_dep():
with pytest.deprecated_call(match="spnego.gss is deprecated and will be removed in a future release"):
... | 32.692308 | 112 | 0.74 |
ff0f7dad8d147e4583a5f2a50653084bac6bf499 | 21,173 | py | Python | tensorflow_examples/lite/model_maker/core/task/model_spec.py | Ir1d/examples-1 | f812d2c36469823c8784e387f690f43ad9d17683 | [
"Apache-2.0"
] | 1 | 2020-06-23T00:51:29.000Z | 2020-06-23T00:51:29.000Z | tensorflow_examples/lite/model_maker/core/task/model_spec.py | Ir1d/examples-1 | f812d2c36469823c8784e387f690f43ad9d17683 | [
"Apache-2.0"
] | null | null | null | tensorflow_examples/lite/model_maker/core/task/model_spec.py | Ir1d/examples-1 | f812d2c36469823c8784e387f690f43ad9d17683 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 35.465662 | 120 | 0.708024 |
ff0faba6456990df9e91ac7cce887992f55040e9 | 4,752 | py | Python | ginga/misc/plugins/Colorbar.py | Cadair/ginga | 5afdd8824f27c7ae7d8d82b5013b0ff0068bd8b8 | [
"BSD-3-Clause"
] | null | null | null | ginga/misc/plugins/Colorbar.py | Cadair/ginga | 5afdd8824f27c7ae7d8d82b5013b0ff0068bd8b8 | [
"BSD-3-Clause"
] | null | null | null | ginga/misc/plugins/Colorbar.py | Cadair/ginga | 5afdd8824f27c7ae7d8d82b5013b0ff0068bd8b8 | [
"BSD-3-Clause"
] | null | null | null | #
# Colorbar.py -- Color bar plugin for Ginga viewer
#
# Eric Jeschke (eric@naoj.org)
#
# Copyright (c) Eric R. Jeschke. All rights reserved.
# This is open-source software licensed under a BSD license.
# Please see the file LICENSE.txt for details.
#
from ginga import GingaPlugin
from ginga.misc import Bunch
from gin... | 32.547945 | 85 | 0.616162 |
ff0fba5c4ca7e7087a9015136781e7fcbea4d750 | 6,605 | py | Python | forest/decider/regex_decider.py | Marghrid/Forest | 2f1730fd7cb1e3579fcce222c67b91c5bb1aa5f4 | [
"Apache-2.0"
] | 7 | 2020-06-24T12:14:40.000Z | 2022-01-19T17:01:02.000Z | forest/decider/regex_decider.py | Marghrid/Forest | 2f1730fd7cb1e3579fcce222c67b91c5bb1aa5f4 | [
"Apache-2.0"
] | null | null | null | forest/decider/regex_decider.py | Marghrid/Forest | 2f1730fd7cb1e3579fcce222c67b91c5bb1aa5f4 | [
"Apache-2.0"
] | null | null | null | import re
from forest.spec import Predicate
from forest.spec.expr import *
from .example_decider import Example, ExampleDecider
from .result import ok, bad
from ..dsl import ApplyNode
from ..logger import get_logger
from ..visitor import Interpreter
logger = get_logger('forest')
class RegexDecider(ExampleDecider):
... | 43.169935 | 95 | 0.562453 |
ff0fe7972ca7eb5958ad34e94691505f9996953d | 989 | py | Python | sdk/storage/azure-mgmt-storage/azure/mgmt/storage/v2018_11_01/models/management_policy_snap_shot.py | pjquirk/azure-sdk-for-python | cbf02ec4f177b96eae1dbbba87c34c2c93880150 | [
"MIT"
] | 1 | 2021-09-07T18:36:04.000Z | 2021-09-07T18:36:04.000Z | sdk/storage/azure-mgmt-storage/azure/mgmt/storage/v2018_11_01/models/management_policy_snap_shot.py | pjquirk/azure-sdk-for-python | cbf02ec4f177b96eae1dbbba87c34c2c93880150 | [
"MIT"
] | 2 | 2019-10-02T23:37:38.000Z | 2020-10-02T01:17:31.000Z | azure-mgmt-storage/azure/mgmt/storage/v2018_11_01/models/management_policy_snap_shot.py | xiafu-msft/azure-sdk-for-python | 4d9560cfd519ee60667f3cc2f5295a58c18625db | [
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 34.103448 | 76 | 0.605662 |
ff1007de68597e5fdd2c3e7d1719d418c011780c | 498 | py | Python | ex9.7.py | Dikaeinstein/Think_Python | 370cb5af25230ff20994206e2d8023fd1d4c2c74 | [
"MIT"
] | null | null | null | ex9.7.py | Dikaeinstein/Think_Python | 370cb5af25230ff20994206e2d8023fd1d4c2c74 | [
"MIT"
] | null | null | null | ex9.7.py | Dikaeinstein/Think_Python | 370cb5af25230ff20994206e2d8023fd1d4c2c74 | [
"MIT"
] | null | null | null | def is_double_3consec ( word ):
'''
is_double_3consec: traverses given word and returns 'True' if it contains
three consecutive double letters. Otherwise return 'False'.
'''
count = 0
i = 0
while i < len(word)-1:
if word[i] == word[i+1]:
count += 1
if count =... | 23.714286 | 78 | 0.504016 |
ff10af58888fc058f45554323bcaa30fdc5c0e12 | 543 | py | Python | boiler/__init__.py | projectshift/shift-boiler | 5f1d236b97fc814ba72897fa8bc76c7518bd1919 | [
"MIT"
] | 19 | 2016-08-06T20:06:21.000Z | 2020-10-22T08:31:49.000Z | boiler/__init__.py | projectshift/shift-boiler | 5f1d236b97fc814ba72897fa8bc76c7518bd1919 | [
"MIT"
] | 104 | 2016-07-31T19:45:00.000Z | 2021-09-15T08:13:36.000Z | boiler/__init__.py | projectshift/shift-boiler | 5f1d236b97fc814ba72897fa8bc76c7518bd1919 | [
"MIT"
] | 1 | 2017-12-30T09:07:38.000Z | 2017-12-30T09:07:38.000Z | import os
def load_dotenvs():
"""
Load dotenvs
Loads .env and .flaskenv files from project root directory.
:return:
"""
if not os.getenv('DOTENVS_LOADED'):
envs = ['.env', '.flaskenv']
for env in envs:
path = os.path.join(os.getcwd(), env)
if os.path.isf... | 18.724138 | 63 | 0.587477 |
ff10d14fc7dd6f91095de09d296672e32cb7048b | 10,787 | py | Python | monoport/lib/dataset/ppl_dynamic.py | ArshdeepSahni/MonoPort | a67fdc02b4fb45b3cc187aa4ae34053574d0383c | [
"Unlicense"
] | 1 | 2021-01-15T09:42:29.000Z | 2021-01-15T09:42:29.000Z | monoport/lib/dataset/ppl_dynamic.py | ArshdeepSahni/MonoPort | a67fdc02b4fb45b3cc187aa4ae34053574d0383c | [
"Unlicense"
] | null | null | null | monoport/lib/dataset/ppl_dynamic.py | ArshdeepSahni/MonoPort | a67fdc02b4fb45b3cc187aa4ae34053574d0383c | [
"Unlicense"
] | null | null | null | import numpy as np
import os
import glob
import torch
import random
import tqdm
import tinyobjloader
from .utils import load_image, projection
def load_calib(calib_path, render_size=512):
calib_data = np.loadtxt(calib_path, dtype=float)
extrinsic = calib_data[:4, :4]
intrinsic = calib_data[4:8, :4]
... | 35.956667 | 93 | 0.56531 |
ff10ebcc04c7a51468db7c0386d6ca0bb1d3d92f | 4,355 | py | Python | tests/risk/test_risk_cumulative.py | saeedamen/zipline | f30c249e0e95a3d43f54553f5c15e4508accc64e | [
"Apache-2.0"
] | 3 | 2016-05-30T12:34:07.000Z | 2017-10-09T18:33:48.000Z | tests/risk/test_risk_cumulative.py | saeedamen/zipline | f30c249e0e95a3d43f54553f5c15e4508accc64e | [
"Apache-2.0"
] | null | null | null | tests/risk/test_risk_cumulative.py | saeedamen/zipline | f30c249e0e95a3d43f54553f5c15e4508accc64e | [
"Apache-2.0"
] | 6 | 2016-05-30T17:05:51.000Z | 2021-01-27T09:42:50.000Z | #
# Copyright 2014 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... | 36.291667 | 78 | 0.616762 |
ff10f1693e58a308f404f52fbb28417561033541 | 22,511 | py | Python | modules/templates/DRK/customise/cr.py | nursix/DRKCM | 09328289ff721c416494398aa751ff99906327cb | [
"MIT"
] | 3 | 2022-01-26T08:07:54.000Z | 2022-03-21T21:53:52.000Z | modules/templates/DRK/customise/cr.py | nursix/eden-asp | e49f46cb6488918f8d5a163dcd5a900cd686978c | [
"MIT"
] | null | null | null | modules/templates/DRK/customise/cr.py | nursix/eden-asp | e49f46cb6488918f8d5a163dcd5a900cd686978c | [
"MIT"
] | null | null | null | """
CR module customisations for DRK
License: MIT
"""
from gluon import current, URL, \
A, DIV, H2, H3, H4, P, TABLE, TR, TD, XML, HR
from core import IS_ONE_OF
# -------------------------------------------------------------------------
def check_in_status(site, person):
"""
De... | 34.846749 | 101 | 0.478921 |
ff1101c3d10849f3e37916993fc0fdd60d5b2c0a | 321 | py | Python | re_charactor_class_3.py | godontop/python-work | ea22e0df8b0b17605f5a434e556a388d1f75aa47 | [
"MIT"
] | null | null | null | re_charactor_class_3.py | godontop/python-work | ea22e0df8b0b17605f5a434e556a388d1f75aa47 | [
"MIT"
] | null | null | null | re_charactor_class_3.py | godontop/python-work | ea22e0df8b0b17605f5a434e556a388d1f75aa47 | [
"MIT"
] | null | null | null | import re
pattern = r"[^A-Z]"
# pattern match any charactor other than [A-Z]
if re.search(pattern, "this is all quiet"):
print("Match 1")
if re.search(pattern, "AbCdEfG123"):
print("Match 2")
# Output: Match 2
# pattern 匹配除了[A-Z]的任意字符
if re.search(pattern, "THISISALLSHOUTING"):
print("Match 3")... | 18.882353 | 46 | 0.647975 |
ff11296579870f716f68f52387f1afd3f674ba25 | 853 | py | Python | NavPython/IronPython/Tutorial/debugvbx.py | jstammers/EDMSuite | 2841c0edef32a496855ca41deaa0f710b017ae2f | [
"MIT"
] | 2 | 2020-09-27T09:19:57.000Z | 2022-03-05T11:08:26.000Z | NavPython/IronPython/Tutorial/debugvbx.py | jstammers/EDMSuite | 2841c0edef32a496855ca41deaa0f710b017ae2f | [
"MIT"
] | null | null | null | NavPython/IronPython/Tutorial/debugvbx.py | jstammers/EDMSuite | 2841c0edef32a496855ca41deaa0f710b017ae2f | [
"MIT"
] | 1 | 2020-05-11T12:26:46.000Z | 2020-05-11T12:26:46.000Z | #####################################################################################
#
# Copyright (c) Microsoft Corporation. All rights reserved.
#
# This source code is subject to terms and conditions of the Apache License, Version 2.0. A
# copy of the license can be found in the License.html file at the root of t... | 37.086957 | 97 | 0.589683 |
ff115d9845b2fd1f7aaa7e66ee3e768a48354ecc | 138 | py | Python | src/gluonts/model/prophet/__init__.py | lovvge/gluon-ts | 284376138f41968bec0a4cb05b274c8ee259493a | [
"Apache-2.0"
] | 2 | 2019-09-05T05:39:03.000Z | 2020-11-08T17:07:04.000Z | src/gluonts/model/prophet/__init__.py | lovvge/gluon-ts | 284376138f41968bec0a4cb05b274c8ee259493a | [
"Apache-2.0"
] | null | null | null | src/gluonts/model/prophet/__init__.py | lovvge/gluon-ts | 284376138f41968bec0a4cb05b274c8ee259493a | [
"Apache-2.0"
] | null | null | null | # Relative imports
from ._predictor import ProphetPredictor, PROPHET_IS_INSTALLED
__all__ = ["ProphetPredictor", "PROPHET_IS_INSTALLED"]
| 27.6 | 62 | 0.826087 |
ff116c50150cb528c83bfa6a9c21140b9827ec56 | 5,641 | py | Python | Src/train_gradients.py | sanjeevmk/GLASS | 91c0954eab87d25d4866fea5c338f79fbca4f79e | [
"MIT"
] | 2 | 2022-03-22T17:36:14.000Z | 2022-03-27T05:03:39.000Z | Src/train_gradients.py | sanjeevmk/glass | 91c0954eab87d25d4866fea5c338f79fbca4f79e | [
"MIT"
] | null | null | null | Src/train_gradients.py | sanjeevmk/glass | 91c0954eab87d25d4866fea5c338f79fbca4f79e | [
"MIT"
] | null | null | null | import torch
torch.manual_seed(10)
torch.cuda.manual_seed_all(10)
from torch.autograd import Variable
from Utils import Pts
from datetime import datetime
def trainVAE(training_params,data_classes,network_params,losses,misc_variables,rounds,scale):
if rounds==0:
epochs = training_params.startepochs
else... | 47.403361 | 186 | 0.648821 |
ff11a7d7dd53adbc7f5927d853da83714b6d4703 | 1,579 | py | Python | oc4idskit/cli/commands/convert_from_ocds.py | open-contracting/oc4idskit | a864c4716c09dfa2141483d602106c147b211063 | [
"BSD-3-Clause"
] | null | null | null | oc4idskit/cli/commands/convert_from_ocds.py | open-contracting/oc4idskit | a864c4716c09dfa2141483d602106c147b211063 | [
"BSD-3-Clause"
] | 16 | 2021-05-19T23:39:30.000Z | 2022-01-13T20:00:16.000Z | oc4idskit/cli/commands/convert_from_ocds.py | open-contracting/oc4idskit | a864c4716c09dfa2141483d602106c147b211063 | [
"BSD-3-Clause"
] | null | null | null | import logging
from ocdskit.cli.commands.base import OCDSCommand
from ocdskit.combine import _package
from oc4idskit import transforms
logger = logging.getLogger("oc4idskit")
class Command(OCDSCommand):
name = "convert-from-ocds"
help = """reads individual releases or release packages from standard input,
... | 30.960784 | 88 | 0.615579 |
ff11c237c5f00968c23a7ecea9f91538022d9fdd | 14,879 | py | Python | examples/PILCO/double_cartpole_learn.py | tsetimmy/kusanagi | 868b301b6064af7d21f0f716aa4390e402f2e2ec | [
"MIT"
] | 22 | 2018-08-04T04:51:27.000Z | 2021-11-03T14:22:16.000Z | examples/PILCO/double_cartpole_learn.py | tsetimmy/kusanagi | 868b301b6064af7d21f0f716aa4390e402f2e2ec | [
"MIT"
] | 1 | 2021-11-16T12:41:14.000Z | 2021-11-16T12:41:14.000Z | examples/PILCO/double_cartpole_learn.py | tsetimmy/kusanagi | 868b301b6064af7d21f0f716aa4390e402f2e2ec | [
"MIT"
] | 7 | 2018-08-04T04:51:29.000Z | 2021-07-17T07:26:04.000Z | '''
Example of how to use the library for learning using the PILCO learner
on the double cartpole task
'''
# pylint: disable=C0103
import argparse
import dill
import os
import sys
import numpy as np
import lasagne
import theano
from functools import partial
from kusanagi import utils
from kusanagi.ghost import regress... | 37.573232 | 79 | 0.645137 |
ff11ebfa085656c11b9c0fa4bf7789e25c8576a2 | 11,526 | py | Python | wk_client/tests/test_logic.py | TuxedoFish/GFBHack-IWOCA | e3197c1f3c100f830e3d2b08b214f9b1a99260c0 | [
"MIT"
] | null | null | null | wk_client/tests/test_logic.py | TuxedoFish/GFBHack-IWOCA | e3197c1f3c100f830e3d2b08b214f9b1a99260c0 | [
"MIT"
] | null | null | null | wk_client/tests/test_logic.py | TuxedoFish/GFBHack-IWOCA | e3197c1f3c100f830e3d2b08b214f9b1a99260c0 | [
"MIT"
] | null | null | null | from datetime import datetime, timedelta, date
from wk_client import db
from wk_client.logic import UserAccount, Rate
from wk_client.models import Loan, CashFlow
from wk_client.tests.conftest import AppTestCase
from wk_client.tests.factories import UserFactory, LoanFactory, RepaymentFactory, FundingFactory, \
crea... | 41.460432 | 117 | 0.630227 |
ff11f750ff5b437714780f6199a35aec926dff08 | 6,027 | py | Python | nomination/feeds.py | unt-libraries/django-nomination | 90e42109f8113e411e51e29485e8d1f1e9848373 | [
"BSD-3-Clause"
] | 2 | 2016-12-07T09:09:11.000Z | 2018-01-31T13:57:04.000Z | nomination/feeds.py | unt-libraries/django-nomination | 90e42109f8113e411e51e29485e8d1f1e9848373 | [
"BSD-3-Clause"
] | 100 | 2016-01-21T19:52:57.000Z | 2021-06-01T20:23:59.000Z | nomination/feeds.py | unt-libraries/django-nomination | 90e42109f8113e411e51e29485e8d1f1e9848373 | [
"BSD-3-Clause"
] | null | null | null | from django.urls import reverse
from django.shortcuts import get_object_or_404
from django.contrib.syndication.views import Feed, FeedDoesNotExist
from nomination.models import Project
from django.utils.feedgenerator import Atom1Feed
class url_feed(Feed):
feed_type = Atom1Feed
def get_object(self, request, ... | 36.08982 | 95 | 0.608761 |
ff11fc4ceeade2a95c2dcac1110d2ed48ad0dbd6 | 5,241 | py | Python | federated_learning/train.py | SabareeshNikhil/244Bananas | 723966e66c9823527a9dc8b8d066fa2bcb1de70c | [
"MIT"
] | 1 | 2019-04-17T02:02:55.000Z | 2019-04-17T02:02:55.000Z | federated_learning/train.py | SabareeshNikhil/244Bananas | 723966e66c9823527a9dc8b8d066fa2bcb1de70c | [
"MIT"
] | null | null | null | federated_learning/train.py | SabareeshNikhil/244Bananas | 723966e66c9823527a9dc8b8d066fa2bcb1de70c | [
"MIT"
] | null | null | null |
import torch
import time
import random
import numpy as np
from collections import deque
from agent_nets import Agents
from global_net import GlobalNet
from mlagents.envs import UnityEnvironment
import sys
def convert_action(a):
if round(a) == 0:
converted_action = np.array([[1,0,0,0]]) # forward
elif ... | 34.480263 | 114 | 0.694142 |
ff1206b81e3581c303983a470834e94c323414a1 | 960 | py | Python | DASH/DASH/DashBoard/Character.py | changsoooo/kisra-1 | dce2132df97d2b20d9019fa3421540895a097183 | [
"FTL"
] | null | null | null | DASH/DASH/DashBoard/Character.py | changsoooo/kisra-1 | dce2132df97d2b20d9019fa3421540895a097183 | [
"FTL"
] | null | null | null | DASH/DASH/DashBoard/Character.py | changsoooo/kisra-1 | dce2132df97d2b20d9019fa3421540895a097183 | [
"FTL"
] | null | null | null | import pandas as pd
import os
class Character:
def __init__(self, characters):
self.options = characters
self.file_name = 'profiles_m.pkl'
self.scoring = {
1: '안정',
2: '안정추구',
3: '위험중립',
4: '적극투자',
5: '공격투자'
}
def empt... | 25.945946 | 81 | 0.476042 |
ff121f06f5885db072ff7756890b2bb3bfd26ac2 | 18,533 | py | Python | capstone/config/settings/settings_base.py | truthiswill/capstone | 61b17611ebee17a5f5e4f64ae4ccaa67ac357478 | [
"MIT"
] | null | null | null | capstone/config/settings/settings_base.py | truthiswill/capstone | 61b17611ebee17a5f5e4f64ae4ccaa67ac357478 | [
"MIT"
] | 4 | 2021-09-02T20:54:31.000Z | 2022-02-27T14:04:06.000Z | capstone/config/settings/settings_base.py | whitemike889/capstone | 61b17611ebee17a5f5e4f64ae4ccaa67ac357478 | [
"MIT"
] | null | null | null | import os
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
SERVICES_DIR = os.path.join(os.path.dirname(BASE_DIR), 'services')
ALLOWED_HOSTS = ['localhost', '127.0.0.1', '[::1]', '.test']
ADMINS = [('Casela... | 28.165653 | 158 | 0.596126 |
ff122770e6c45c3367ff4db309dd9a479375f006 | 676 | py | Python | 0x07-python-test_driven_development/5-text_indentation.py | oluwaseun-ebenezer/holbertonschool-higher_level_programming | e830f969d3ca71abf0a2f6d4f7c64a82337eccd7 | [
"MIT"
] | null | null | null | 0x07-python-test_driven_development/5-text_indentation.py | oluwaseun-ebenezer/holbertonschool-higher_level_programming | e830f969d3ca71abf0a2f6d4f7c64a82337eccd7 | [
"MIT"
] | null | null | null | 0x07-python-test_driven_development/5-text_indentation.py | oluwaseun-ebenezer/holbertonschool-higher_level_programming | e830f969d3ca71abf0a2f6d4f7c64a82337eccd7 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
"""
This is the "5-test_indentation" module.
The 5-text_indentation module supplies one function, text_indentation(text).
"""
def text_indentation(text):
"""splits a text into lines along "?", ":", "." followed by 2 new lines"""
if type(text) is not str:
raise TypeError("text must b... | 26 | 78 | 0.463018 |
ff12289cc9a3d65b2b0f207bfaa667acc09e9e29 | 4,734 | py | Python | test_full_putmany_cleanup.py | splitter-research/splitter | 94e5e3073b4f383ba50397168ddb8bcd5fc48da4 | [
"MIT"
] | null | null | null | test_full_putmany_cleanup.py | splitter-research/splitter | 94e5e3073b4f383ba50397168ddb8bcd5fc48da4 | [
"MIT"
] | null | null | null | test_full_putmany_cleanup.py | splitter-research/splitter | 94e5e3073b4f383ba50397168ddb8bcd5fc48da4 | [
"MIT"
] | null | null | null | import os
import shutil
import pandas as pd
from splitter.dataflow.agg import count, counts
from splitter.full_manager.condition import Condition
from splitter.full_manager.full_manager import FullStorageManager
from splitter.full_manager.full_video_processing import CropSplitter
from splitter.constants import *
from ... | 39.781513 | 190 | 0.640051 |
ff122c504e6082cb552a9b135de2a2815dc3c045 | 11,594 | py | Python | sakt/iter_env_final.py | scaomath/kaggle-riiid-test | 6c99deccc33def7e5d0c982b0a9a19612138e893 | [
"MIT"
] | null | null | null | sakt/iter_env_final.py | scaomath/kaggle-riiid-test | 6c99deccc33def7e5d0c982b0a9a19612138e893 | [
"MIT"
] | null | null | null | sakt/iter_env_final.py | scaomath/kaggle-riiid-test | 6c99deccc33def7e5d0c982b0a9a19612138e893 | [
"MIT"
] | null | null | null | #%%
import sys
import psutil
import pandas as pd
import numpy as np
from tqdm import tqdm
import time
from sklearn.metrics import roc_auc_score
from sklearn.model_selection import train_test_split
import pickle
import torch
import torch.nn as nn
from torch import optim
from torch.autograd import Variable
from torch.uti... | 37.765472 | 105 | 0.612127 |
ff122f5321bd059d7306373d2ec912c978a45e7c | 2,856 | py | Python | plugins/maya/publish/validate_look_no_initSG.py | davidlatwe/reveries-config | 4a282dd64a32a9b87bd1a070759b6425ff785d68 | [
"MIT"
] | 3 | 2020-04-01T10:51:17.000Z | 2021-08-05T18:35:23.000Z | plugins/maya/publish/validate_look_no_initSG.py | davidlatwe/reveries-config | 4a282dd64a32a9b87bd1a070759b6425ff785d68 | [
"MIT"
] | null | null | null | plugins/maya/publish/validate_look_no_initSG.py | davidlatwe/reveries-config | 4a282dd64a32a9b87bd1a070759b6425ff785d68 | [
"MIT"
] | 1 | 2020-07-05T12:06:30.000Z | 2020-07-05T12:06:30.000Z |
import pyblish.api
from reveries import plugins
class Disconnect(plugins.RepairInstanceAction):
label = "Disconnect default shaders"
DEFAULT_SHADERS = (
"initialShadingGroup",
"initialParticleSE",
)
class ValidateLookNoInitSG(pyblish.api.InstancePlugin):
"""LookDev should not be using default sh... | 30.063158 | 74 | 0.5007 |
ff123f7ecb00fa42378008a5364d9310ce3aa8c3 | 5,404 | py | Python | jang_inverse_example.py | samxu0823/anfis-pytorch | b4ec3f0e8259963800e9e0a2904a580d1e56cc1c | [
"MIT"
] | null | null | null | jang_inverse_example.py | samxu0823/anfis-pytorch | b4ec3f0e8259963800e9e0a2904a580d1e56cc1c | [
"MIT"
] | null | null | null | jang_inverse_example.py | samxu0823/anfis-pytorch | b4ec3f0e8259963800e9e0a2904a580d1e56cc1c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
ANFIS in torch: Control examples from Jang's book, chapter 17
Section 17.4.2: Inverse control, case study
This is supposed to represent a 'plant' whose state is a value (y),
and whose physical model is given by an equation (see y_next below).
The fu... | 32.554217 | 79 | 0.626203 |
ff124e3a379de235ded70415f03fab2201de4874 | 3,409 | py | Python | dj_hetmech_app/models.py | dhimmel/hetmech-backend | 28d9626d75c5fa78b03ae0cb18b32f90bcf1fe8f | [
"BSD-3-Clause"
] | 4 | 2020-01-24T16:11:10.000Z | 2020-11-19T20:40:53.000Z | dj_hetmech_app/models.py | dhimmel/hetmech-backend | 28d9626d75c5fa78b03ae0cb18b32f90bcf1fe8f | [
"BSD-3-Clause"
] | 57 | 2018-10-30T18:29:14.000Z | 2019-11-04T15:19:51.000Z | dj_hetmech_app/models.py | dhimmel/hetmech-backend | 28d9626d75c5fa78b03ae0cb18b32f90bcf1fe8f | [
"BSD-3-Clause"
] | 3 | 2018-10-30T18:07:19.000Z | 2019-06-04T14:50:44.000Z | """
Database schema.
References:
- https://docs.djangoproject.com/en/2.1/ref/models/fields/
- https://docs.djangoproject.com/en/2.1/ref/models/options/
## Export schematic
Run the following script in the environment to generate figures in model-schema:
```shell
bash media/models-schema.sh
```
"""
from django.cont... | 35.14433 | 103 | 0.719859 |
ff125dedf094d5128637aff232bd4fc333a75936 | 12,720 | py | Python | intersight/models/iam_user_preference.py | gumpcraca/intersight-python | 780e6703c739f329084beacbbf2ad7a6a2e59b2b | [
"Apache-2.0"
] | null | null | null | intersight/models/iam_user_preference.py | gumpcraca/intersight-python | 780e6703c739f329084beacbbf2ad7a6a2e59b2b | [
"Apache-2.0"
] | null | null | null | intersight/models/iam_user_preference.py | gumpcraca/intersight-python | 780e6703c739f329084beacbbf2ad7a6a2e59b2b | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
Intersight REST API
This is Intersight REST API
OpenAPI spec version: 1.0.9-255
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from pprint import pformat
from six import iteritems
import re
class IamUserPreference(object):
"""
NOTE: This cla... | 27.772926 | 226 | 0.592531 |
ff129dddb2a67086d9b0cb6bcaa0f5f157911f15 | 32,558 | py | Python | Skimage_numpy/source/scipy/optimize/_differentialevolution.py | Con-Mi/lambda-packs | b23a8464abdd88050b83310e1d0e99c54dac28ab | [
"MIT"
] | 5 | 2017-03-21T13:04:12.000Z | 2021-07-28T12:38:02.000Z | Skimage_numpy/source/scipy/optimize/_differentialevolution.py | Con-Mi/lambda-packs | b23a8464abdd88050b83310e1d0e99c54dac28ab | [
"MIT"
] | 1 | 2021-09-11T14:30:32.000Z | 2021-09-11T14:30:32.000Z | Skimage_numpy/source/scipy/optimize/_differentialevolution.py | Con-Mi/lambda-packs | b23a8464abdd88050b83310e1d0e99c54dac28ab | [
"MIT"
] | 5 | 2016-05-18T21:47:17.000Z | 2021-08-09T11:48:30.000Z | """
differential_evolution: The differential evolution global optimization algorithm
Added by Andrew Nelson 2014
"""
from __future__ import division, print_function, absolute_import
import numpy as np
from scipy.optimize import OptimizeResult, minimize
from scipy.optimize.optimize import _status_message
import numbers
... | 41.212658 | 81 | 0.607623 |
ff12aa0cca829e73a6f0939b54fa6cbbb78ba6bc | 2,874 | py | Python | ambari-server/src/main/resources/stacks/HDP/1.3.2/services/ZOOKEEPER/package/scripts/zookeeper.py | wbear2/ambari | a1891193984da47015cd5483b5b95e040677d7df | [
"Apache-2.0"
] | 5 | 2018-06-03T05:19:40.000Z | 2021-04-16T17:10:49.000Z | ambari-server/src/main/resources/stacks/HDP/1.3.2/services/ZOOKEEPER/package/scripts/zookeeper.py | wbear2/ambari | a1891193984da47015cd5483b5b95e040677d7df | [
"Apache-2.0"
] | null | null | null | ambari-server/src/main/resources/stacks/HDP/1.3.2/services/ZOOKEEPER/package/scripts/zookeeper.py | wbear2/ambari | a1891193984da47015cd5483b5b95e040677d7df | [
"Apache-2.0"
] | 6 | 2019-05-07T13:24:39.000Z | 2021-02-15T14:12:37.000Z | """
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this ... | 27.371429 | 93 | 0.695198 |
ff12b343037dbfdd0b072fad33076ebd2c5818e8 | 6,522 | py | Python | mover/_numberbatch.py | StefanJMU/SemEval2022_Task_8 | 751e4a3573892287c6aac24e4b1bf1b538d9f94f | [
"MIT"
] | null | null | null | mover/_numberbatch.py | StefanJMU/SemEval2022_Task_8 | 751e4a3573892287c6aac24e4b1bf1b538d9f94f | [
"MIT"
] | null | null | null | mover/_numberbatch.py | StefanJMU/SemEval2022_Task_8 | 751e4a3573892287c6aac24e4b1bf1b538d9f94f | [
"MIT"
] | null | null | null | import psycopg2
import numpy as np
numberbatch_config = {
'user': 'postgres',
'password': 'root',
'host': 'localhost',
'port' : 5432,
'database': 'Numberbatch'
}
frequency_config = {
'user': 'postgres',
'password': 'root',
'host': 'localhost',
'port' : 5432,
'database': 'Frequency'
}
#Numberbat... | 31.057143 | 130 | 0.524379 |
ff12fc2deb68432ac67c5185268e0b2e16d6e56d | 639 | py | Python | migration/couch/release_7/3.migration_to_create_feed_entry.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | 1 | 2015-11-02T09:11:12.000Z | 2015-11-02T09:11:12.000Z | migration/couch/release_7/3.migration_to_create_feed_entry.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | null | null | null | migration/couch/release_7/3.migration_to_create_feed_entry.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | null | null | null | import sys
from datawinners.main.couchdb.utils import all_db_names
if __name__ == "__main__" and __package__ is None:
sys.path.insert(0, ".")
import logging
from datawinners.feeds.migrate import FeedBuilder
from migration.couch.utils import mark_as_completed, migrate
def migrate_survey_response_to_feed(db_name)... | 26.625 | 75 | 0.746479 |
ff130f8acffc969fe18a80eb28d0241f6efc7b77 | 3,297 | py | Python | mttransformer/data_utils/__init__.py | sicilyg/ganbert-test | 5bb14573a2330573ea9c932827ec1b462842a530 | [
"Apache-2.0"
] | 2 | 2021-11-02T22:27:33.000Z | 2022-03-27T07:54:35.000Z | mttransformer/data_utils/__init__.py | sicilyg/ganbert-test | 5bb14573a2330573ea9c932827ec1b462842a530 | [
"Apache-2.0"
] | null | null | null | mttransformer/data_utils/__init__.py | sicilyg/ganbert-test | 5bb14573a2330573ea9c932827ec1b462842a530 | [
"Apache-2.0"
] | 3 | 2022-02-28T19:49:54.000Z | 2022-03-25T11:30:31.000Z | import json
import numpy as np
from data_utils.task_def import TaskType, DataFormat
import tasks
def load_data(file_path, task_def):
data_format = task_def.data_type
task_type = task_def.task_type
label_dict = task_def.label_vocab
if task_type == TaskType.Ranking:
assert data_format == DataFor... | 41.2125 | 114 | 0.579921 |
ff134638a4c4dc9b639c3fa6e6a94193d608ed93 | 1,438 | py | Python | test/arguments/with_range_check_code/python/VarUInt32RangeCheckTest.py | PeachOS/zserio | ea01f6906c125a6baab7e8ed865eeb08cd46c37c | [
"BSD-3-Clause"
] | 2 | 2019-02-06T17:50:24.000Z | 2019-11-20T16:51:34.000Z | test/arguments/with_range_check_code/python/VarUInt32RangeCheckTest.py | PeachOS/zserio | ea01f6906c125a6baab7e8ed865eeb08cd46c37c | [
"BSD-3-Clause"
] | 1 | 2019-11-25T16:25:51.000Z | 2019-11-25T18:09:39.000Z | test/arguments/with_range_check_code/python/VarUInt32RangeCheckTest.py | PeachOS/zserio | ea01f6906c125a6baab7e8ed865eeb08cd46c37c | [
"BSD-3-Clause"
] | null | null | null | import unittest
import zserio
from testutils import getZserioApi
class VarUInt32RangeCheckTest(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.api = getZserioApi(__file__, "with_range_check_code.zs",
extraArgs=["-withRangeCheckCode"]).varuint32_range_check
... | 39.944444 | 97 | 0.762865 |
ff1355db478ee25d3029aa00752631a35134cd3f | 15,886 | py | Python | Sklearn_scipy_numpy/source/sklearn/tree/export.py | Con-Mi/lambda-packs | b23a8464abdd88050b83310e1d0e99c54dac28ab | [
"MIT"
] | 4 | 2018-01-21T21:18:35.000Z | 2022-03-23T21:57:56.000Z | Sklearn_scipy_numpy/source/sklearn/tree/export.py | Con-Mi/lambda-packs | b23a8464abdd88050b83310e1d0e99c54dac28ab | [
"MIT"
] | null | null | null | Sklearn_scipy_numpy/source/sklearn/tree/export.py | Con-Mi/lambda-packs | b23a8464abdd88050b83310e1d0e99c54dac28ab | [
"MIT"
] | null | null | null | """
This module defines export functions for decision trees.
"""
# Authors: Gilles Louppe <g.louppe@gmail.com>
# Peter Prettenhofer <peter.prettenhofer@gmail.com>
# Brian Holt <bdholt1@gmail.com>
# Noel Dawe <noel@dawe.me>
# Satrajit Gosh <satrajit.ghosh@gmail.com>
# Trevor... | 38.279518 | 79 | 0.530719 |
ff135be71bf3565b66737d25201726b5bece7127 | 5,108 | py | Python | datasets/dataset_fewshot.py | genggng/Meta-DETR | 45f9dcb4d3402b0e308e06537284fe2c8443b3f6 | [
"MIT"
] | 184 | 2021-03-23T03:19:48.000Z | 2022-03-31T07:42:03.000Z | datasets/dataset_fewshot.py | genggng/Meta-DETR | 45f9dcb4d3402b0e308e06537284fe2c8443b3f6 | [
"MIT"
] | 24 | 2021-03-31T19:12:27.000Z | 2022-03-20T06:04:22.000Z | datasets/dataset_fewshot.py | genggng/Meta-DETR | 45f9dcb4d3402b0e308e06537284fe2c8443b3f6 | [
"MIT"
] | 36 | 2021-03-26T15:51:06.000Z | 2022-03-31T02:15:23.000Z | from pathlib import Path
from datasets.dataset import DetectionDataset
import datasets.transforms as T
from util.misc import get_local_rank, get_local_size
def make_transforms():
"""
Transforms for query images during the few-shot fine-tuning stage.
"""
normalize = T.Compose([
T.ToTensor(),
... | 41.528455 | 93 | 0.541895 |
ff13684383add06888abbfe0e42239e9acfeb522 | 1,591 | py | Python | visualization/example_and_references/plot_vector_field.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | 1 | 2020-10-23T14:40:09.000Z | 2020-10-23T14:40:09.000Z | visualization/example_and_references/plot_vector_field.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | visualization/example_and_references/plot_vector_field.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | 1 | 2021-05-27T20:38:45.000Z | 2021-05-27T20:38:45.000Z | """
Drawing Vector Fields
https://stackoverflow.com/questions/25342072/computing-and-drawing-vector-fields
Adding colorbar to existing axis
https://stackoverflow.com/questions/32462881/add-colorbar-to-existing-axis
"""
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_loc... | 25.66129 | 80 | 0.670647 |
ff136b38de4247d71741cca652e1b881f3abe7cc | 3,666 | py | Python | porters/EMail/email_porter.py | lizard1998myx/MultiBot | 314e15122ed8cd99e231b5d9bfbd853f1b0b2272 | [
"Apache-2.0"
] | 3 | 2021-08-04T08:51:28.000Z | 2022-01-13T01:48:10.000Z | porters/EMail/email_porter.py | lizard1998myx/MultiBot | 314e15122ed8cd99e231b5d9bfbd853f1b0b2272 | [
"Apache-2.0"
] | null | null | null | porters/EMail/email_porter.py | lizard1998myx/MultiBot | 314e15122ed8cd99e231b5d9bfbd853f1b0b2272 | [
"Apache-2.0"
] | 2 | 2021-08-04T08:52:15.000Z | 2022-01-12T14:20:25.000Z | from ...requests import Request
from ...responses import *
from ...distributor import Distributor
from ...server_config import FLASK_PORTS
from ...api_tokens import SENDER
import smtplib, flask, threading
from email.mime.image import MIMEImage
from email.mime.multipart import MIMEMultipart
from email.mime.text ... | 35.25 | 111 | 0.56383 |
ff13c3b412796007d9119f9c1f24b9c8a8b71f2d | 1,398 | py | Python | alipay/aop/api/domain/RoleId.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/domain/RoleId.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/domain/RoleId.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class RoleId(object):
def __init__(self):
self._ccs_instance_id = None
self._role_id = None
@property
def ccs_instance_id(self):
return self._ccs_instance_id
@ccs_... | 24.964286 | 81 | 0.592275 |
ff13cfe9d761bd197baab5704c9086d66a50f6ff | 3,952 | py | Python | benchmark/framework/func_details.py | valory-xyz/agents-aea | 8f38efa96041b0156ed1ae328178e395dbabf2fc | [
"Apache-2.0"
] | 126 | 2019-09-07T09:32:44.000Z | 2022-03-29T14:28:41.000Z | benchmark/framework/func_details.py | valory-xyz/agents-aea | 8f38efa96041b0156ed1ae328178e395dbabf2fc | [
"Apache-2.0"
] | 1,814 | 2019-08-24T10:08:07.000Z | 2022-03-31T14:28:36.000Z | benchmark/framework/func_details.py | valory-xyz/agents-aea | 8f38efa96041b0156ed1ae328178e395dbabf2fc | [
"Apache-2.0"
] | 46 | 2019-09-03T22:13:58.000Z | 2022-03-22T01:25:16.000Z | # -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
#
# Copyright 2018-2019 Fetch.AI Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the ... | 29.492537 | 96 | 0.59919 |
ff13e514a6cd2fa5b40129d06983c84fced756c9 | 995 | py | Python | day05/solve.py | ipanin/adventOfCode2021 | cdf85fa7e7d26d9c37f9626314dd4c0294b96d9b | [
"Apache-2.0"
] | null | null | null | day05/solve.py | ipanin/adventOfCode2021 | cdf85fa7e7d26d9c37f9626314dd4c0294b96d9b | [
"Apache-2.0"
] | null | null | null | day05/solve.py | ipanin/adventOfCode2021 | cdf85fa7e7d26d9c37f9626314dd4c0294b96d9b | [
"Apache-2.0"
] | null | null | null | # AoC 2021. Day 5. Hydrothermal Venture
# My solution. Is not short, but simple/
import util
def draw_vec(field, vec, diag):
x1,y1,x2,y2 = vec
if x1 == x2:
for y in util.my_range(y1, y2):
f = field.get((x1,y), 0)
field[(x1,y)] = f+1
elif y1 == y2:
for x in util.my_... | 24.268293 | 69 | 0.551759 |
ff143700ccdcaf7fb2a68d464ba84a06d380b27f | 1,727 | py | Python | Plug-and-play module/attention/Non-local/nl_map_vis/nl_map_vis.py | riciche/SimpleCVReproduction | 4075de39f9c61f1359668a413f6a5d98903fcf97 | [
"Apache-2.0"
] | 1,512 | 2017-12-07T07:54:10.000Z | 2022-03-31T12:20:25.000Z | Plug-and-play module/attention/Non-local/nl_map_vis/nl_map_vis.py | riciche/SimpleCVReproduction | 4075de39f9c61f1359668a413f6a5d98903fcf97 | [
"Apache-2.0"
] | 45 | 2018-04-12T12:31:34.000Z | 2021-11-10T07:17:38.000Z | Plug-and-play module/attention/Non-local/nl_map_vis/nl_map_vis.py | riciche/SimpleCVReproduction | 4075de39f9c61f1359668a413f6a5d98903fcf97 | [
"Apache-2.0"
] | 314 | 2018-01-07T03:31:08.000Z | 2022-03-11T13:31:49.000Z | """
(tips: if the Non-local type you select is **non_local_concatenation**
or **non_local_dot_product** (without Softmax operation),
you may need to normalize NL_MAP in the visualize code)
"""
import numpy as np
import cv2
import math
import os
def vis_nl_map(img_path, nl_map_path, vis_size=(56, 56)):
dst_dir = n... | 31.981481 | 93 | 0.665895 |
ff145e9337804c45dc70c0f0a9c7f4d721da82fb | 2,576 | py | Python | app/checkout_backend/api/views.py | jcazallasc/lana-python-challenge | 134ef30b6dcc7c323c90df8992b194741f071d95 | [
"MIT"
] | null | null | null | app/checkout_backend/api/views.py | jcazallasc/lana-python-challenge | 134ef30b6dcc7c323c90df8992b194741f071d95 | [
"MIT"
] | null | null | null | app/checkout_backend/api/views.py | jcazallasc/lana-python-challenge | 134ef30b6dcc7c323c90df8992b194741f071d95 | [
"MIT"
] | null | null | null | from django.core.exceptions import ObjectDoesNotExist, ValidationError
from rest_framework import status
from rest_framework.response import Response
from rest_framework.views import APIView
from checkout_backend.api.serializers import CheckoutSerializer
from checkout_backend.app import app
class CreateCartAPIView(A... | 28.307692 | 76 | 0.626941 |
ff149f83d84e1ee51dab8cf2d52a849f36bdc49d | 24,270 | py | Python | src/facenet.py | ZequnZ/face-verification | 99154cd27d11604d1b4702579e8c401e7aa5fde4 | [
"Apache-2.0"
] | null | null | null | src/facenet.py | ZequnZ/face-verification | 99154cd27d11604d1b4702579e8c401e7aa5fde4 | [
"Apache-2.0"
] | 6 | 2020-09-26T01:22:06.000Z | 2022-02-10T02:15:00.000Z | src/facenet.py | ZequnZ/face-verification | 99154cd27d11604d1b4702579e8c401e7aa5fde4 | [
"Apache-2.0"
] | null | null | null | """Functions for building the face recognition network.
https://github.com/davidsandberg/facenet/blob/master/src/facenet.py
"""
# MIT License
#
# Copyright (c) 2016 David Sandberg
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the ... | 34.770774 | 108 | 0.634899 |
ff14ac8288ef709281ceeebb79383abfc33ebe3d | 6,054 | py | Python | tests/test_publish_skip.py | Abnormally/DjangoChannelsGraphqlWs | f741c20706901fc37f37fe08f6894c5614d2ab7d | [
"MIT"
] | 259 | 2018-06-27T12:33:54.000Z | 2022-03-26T23:09:04.000Z | tests/test_publish_skip.py | Abnormally/DjangoChannelsGraphqlWs | f741c20706901fc37f37fe08f6894c5614d2ab7d | [
"MIT"
] | 83 | 2018-06-27T15:04:25.000Z | 2022-03-12T19:05:40.000Z | tests/test_publish_skip.py | Abnormally/DjangoChannelsGraphqlWs | f741c20706901fc37f37fe08f6894c5614d2ab7d | [
"MIT"
] | 59 | 2018-07-02T20:29:07.000Z | 2022-03-12T16:10:53.000Z | # Copyright (C) DATADVANCE, 2010-2021
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
# ... | 33.821229 | 87 | 0.648992 |
ff1528b09694e717c6e16f7dc2da8e324a67a59b | 16,083 | py | Python | src/command_modules/azure-cli-resource/azure/cli/command_modules/resource/_params.py | v-Ajnava/azure-cli | febec631d79bfca151e84267b5b409594bad598e | [
"MIT"
] | null | null | null | src/command_modules/azure-cli-resource/azure/cli/command_modules/resource/_params.py | v-Ajnava/azure-cli | febec631d79bfca151e84267b5b409594bad598e | [
"MIT"
] | 3 | 2021-03-26T00:48:20.000Z | 2022-03-29T22:05:39.000Z | src/command_modules/azure-cli-resource/azure/cli/command_modules/resource/_params.py | v-Ajnava/azure-cli | febec631d79bfca151e84267b5b409594bad598e | [
"MIT"
] | null | null | null | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | 89.849162 | 371 | 0.74557 |
ff152efaeb1694e21258ef5c5896a45f532bcdab | 17,127 | py | Python | src/functions.py | CSIRO-enviro-informatics/cosmoz-rest-wrapper | ce4c61522b154f8ecfa64b7476b9539088fe04ee | [
"Apache-2.0"
] | null | null | null | src/functions.py | CSIRO-enviro-informatics/cosmoz-rest-wrapper | ce4c61522b154f8ecfa64b7476b9539088fe04ee | [
"Apache-2.0"
] | null | null | null | src/functions.py | CSIRO-enviro-informatics/cosmoz-rest-wrapper | ce4c61522b154f8ecfa64b7476b9539088fe04ee | [
"Apache-2.0"
] | null | null | null | import asyncio
import datetime
from collections import OrderedDict
import bson
from influxdb import InfluxDBClient
from motor.motor_asyncio import AsyncIOMotorClient as MotorClient
import config
from util import datetime_to_iso, datetime_from_iso, datetime_to_date_string
persistent_clients = {
'influx_client': No... | 39.645833 | 138 | 0.609622 |
ff158a9f91544f588978559a98b7efcd40289553 | 65,066 | py | Python | apollon/chain_storage.py | ApollonChain/ApollonCore | 09542dbf304fdbc93a33154c695dc11c239abd51 | [
"Apache-2.0"
] | 2 | 2020-10-02T20:29:48.000Z | 2021-05-08T10:51:48.000Z | apollon/chain_storage.py | ApollonChain/ApollonCore | 09542dbf304fdbc93a33154c695dc11c239abd51 | [
"Apache-2.0"
] | null | null | null | apollon/chain_storage.py | ApollonChain/ApollonCore | 09542dbf304fdbc93a33154c695dc11c239abd51 | [
"Apache-2.0"
] | null | null | null | from threading import Lock
from os import path
import os.path
import sqlite3
import hashlib
## ChainStorage Object ##
class ChainStorage(object):
# Erstellt ein neues ChainStorage Objekt
def __init__(self, MasterObject):
self.chain_file = None
self.chain_loaded = False
se... | 62.383509 | 403 | 0.612593 |
ff158c9c8bbcda34ae6cfe9ac7c082d20c31f6bf | 129 | py | Python | messages/admin.py | AminAliH47/PicoStyle | 768daccc6f28f08aa848318d633af1a19544e499 | [
"Apache-2.0"
] | 19 | 2022-02-16T20:00:08.000Z | 2022-03-08T17:38:59.000Z | messages/admin.py | AminAliH47/PicoStyle | 768daccc6f28f08aa848318d633af1a19544e499 | [
"Apache-2.0"
] | 3 | 2022-02-16T20:59:11.000Z | 2022-02-23T20:40:12.000Z | messages/admin.py | AminAliH47/PicoStyle | 768daccc6f28f08aa848318d633af1a19544e499 | [
"Apache-2.0"
] | null | null | null | from django.contrib import admin
from messages import models
# Register your models here.
admin.site.register(models.Messages)
| 18.428571 | 36 | 0.813953 |
ff1611556e00fe367e741121043cfde05f0a9d19 | 1,188 | py | Python | main/model/factories/base_factory.py | wodore/wodore-ng | 0f5f1fd720a52a36e8bfe0cc588a81bdf43b0ce5 | [
"MIT"
] | null | null | null | main/model/factories/base_factory.py | wodore/wodore-ng | 0f5f1fd720a52a36e8bfe0cc588a81bdf43b0ce5 | [
"MIT"
] | null | null | null | main/model/factories/base_factory.py | wodore/wodore-ng | 0f5f1fd720a52a36e8bfe0cc588a81bdf43b0ce5 | [
"MIT"
] | null | null | null | # pylint: disable=no-init, old-style-class
"""Provides implementation of BaseFactory"""
from gaendb.factories import NDBFactory
from google.appengine.ext import ndb
import factory
class BaseFactory(NDBFactory):
"""Base factory for factory_boy classes, for generating fixtures
This class should be extended"""
... | 36 | 113 | 0.69697 |
ff1630ab5bb489d2c33676fedad125699538fec6 | 2,291 | py | Python | evaluate.py | Chris10M/Lip2Speech | 81a57364054c7fbbede7c6de15861e49d53419d0 | [
"MIT"
] | 3 | 2022-01-19T22:14:14.000Z | 2022-03-23T04:21:57.000Z | evaluate.py | Chris10M/Lip2Speech | 81a57364054c7fbbede7c6de15861e49d53419d0 | [
"MIT"
] | 1 | 2021-10-05T18:09:59.000Z | 2021-10-05T18:09:59.000Z | evaluate.py | Chris10M/Lip2Speech | 81a57364054c7fbbede7c6de15861e49d53419d0 | [
"MIT"
] | 3 | 2021-10-16T05:40:45.000Z | 2022-03-18T06:05:49.000Z | #!/usr/bin/env python3
import torch
import os
from datasets import MelSpec2Audio
from hparams import create_hparams
from torch.utils.data import DataLoader
from model import model
from datasets.lrw import LRW
from datasets.grid import GRID
from datasets.avspeech import AVSpeech
from datasets.wild import WILD
from dat... | 26.639535 | 188 | 0.745089 |
ff1630fef708778b950388fbe039b793bd44c90e | 7,238 | bzl | Python | third_party/rules_boost-789a047e61c0292c3b989514f5ca18a9945b0029/boost/boost.bzl | Vertexwahn/FlatlandRT | 37d09fde38b25eff5f802200b43628efbd1e3198 | [
"Apache-2.0"
] | 62 | 2021-09-21T18:58:02.000Z | 2022-03-07T02:17:43.000Z | third_party/rules_boost-789a047e61c0292c3b989514f5ca18a9945b0029/boost/boost.bzl | Vertexwahn/FlatlandRT | 37d09fde38b25eff5f802200b43628efbd1e3198 | [
"Apache-2.0"
] | null | null | null | third_party/rules_boost-789a047e61c0292c3b989514f5ca18a9945b0029/boost/boost.bzl | Vertexwahn/FlatlandRT | 37d09fde38b25eff5f802200b43628efbd1e3198 | [
"Apache-2.0"
] | null | null | null | load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
load("@bazel_tools//tools/build_defs/repo:utils.bzl", "maybe")
hdrs_patterns = [
"boost/%s.h",
"boost/%s_fwd.h",
"boost/%s.hpp",
"boost/%s_fwd.hpp",
"boost/%s/**/*.hpp",
"boost/%s/**/*.ipp",
"boost/%s/**/*.h",
"libs/%s... | 31.606987 | 163 | 0.602791 |
ff163b912f9846fc575016904d08428a0ce6c174 | 6,457 | py | Python | NightlyTests/tensorflow/test_quantize_resnet50_keras.py | lipovsek/aimet | 236fb02cc6c45e65c067030416c49a09ace82045 | [
"BSD-3-Clause"
] | null | null | null | NightlyTests/tensorflow/test_quantize_resnet50_keras.py | lipovsek/aimet | 236fb02cc6c45e65c067030416c49a09ace82045 | [
"BSD-3-Clause"
] | null | null | null | NightlyTests/tensorflow/test_quantize_resnet50_keras.py | lipovsek/aimet | 236fb02cc6c45e65c067030416c49a09ace82045 | [
"BSD-3-Clause"
] | null | null | null | # =============================================================================
# @@-COPYRIGHT-START-@@
#
# Copyright (c) 2022, Qualcomm Innovation Center, Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following condi... | 53.808333 | 118 | 0.702648 |
ff16465aa9399ea3452c25791d4430510ef2254f | 105 | py | Python | ac_flask/hipchat/db.py | olivaq/ac-flask-hipchat | ce820c29ea76f5d184aa71018dd6b3246e127ac4 | [
"Apache-2.0"
] | null | null | null | ac_flask/hipchat/db.py | olivaq/ac-flask-hipchat | ce820c29ea76f5d184aa71018dd6b3246e127ac4 | [
"Apache-2.0"
] | null | null | null | ac_flask/hipchat/db.py | olivaq/ac-flask-hipchat | ce820c29ea76f5d184aa71018dd6b3246e127ac4 | [
"Apache-2.0"
] | null | null | null | from flask_sqlalchemy import SQLAlchemy
from flask_cache import Cache
db = SQLAlchemy()
cache = Cache()
| 17.5 | 39 | 0.8 |
ff1648d487406107925bb6239905c4159292f1a1 | 565 | py | Python | util/security/crypto.py | jakedt/quay | 424c1a19d744be444ed27aa1718fd74af311d863 | [
"Apache-2.0"
] | 1 | 2020-10-16T19:30:41.000Z | 2020-10-16T19:30:41.000Z | util/security/crypto.py | jakedt/quay | 424c1a19d744be444ed27aa1718fd74af311d863 | [
"Apache-2.0"
] | 15 | 2020-06-18T15:32:06.000Z | 2022-03-03T23:06:24.000Z | util/security/crypto.py | jakedt/quay | 424c1a19d744be444ed27aa1718fd74af311d863 | [
"Apache-2.0"
] | null | null | null | import base64
from cryptography.fernet import Fernet, InvalidToken
def encrypt_string(string, key):
"""
Encrypts a string with the specified key.
The key must be 32 raw bytes.
"""
f = Fernet(key)
return f.encrypt(string)
def decrypt_string(string, key, ttl=None):
"""
Decrypts an en... | 19.482759 | 56 | 0.644248 |
ff165ddcafe53cdf3152efd9ea0f00bb2a034e2f | 23,129 | py | Python | tests/plugins/test_bump_release.py | ben-alkov/atomic-reactor | be6b626b7d822f77999f245193fefcc00c501ca9 | [
"BSD-3-Clause"
] | null | null | null | tests/plugins/test_bump_release.py | ben-alkov/atomic-reactor | be6b626b7d822f77999f245193fefcc00c501ca9 | [
"BSD-3-Clause"
] | 30 | 2020-06-05T17:35:36.000Z | 2022-03-25T19:21:36.000Z | tests/plugins/test_bump_release.py | ben-alkov/atomic-reactor | be6b626b7d822f77999f245193fefcc00c501ca9 | [
"BSD-3-Clause"
] | null | null | null | """
Copyright (c) 2015, 2019 Red Hat, Inc
All rights reserved.
This software may be modified and distributed under the terms
of the BSD license. See the LICENSE file for details.
"""
import koji
import os
from atomic_reactor.plugins.pre_bump_release import BumpReleasePlugin
from atomic_reactor.plugins.pre_fetch_sour... | 38.356551 | 100 | 0.557309 |
ff166d2c15ee19d6c391e43b1681caf065ef07b7 | 3,711 | py | Python | tests/tasks_test.py | m4ta1l/reverse-engineering-neural-networks | a2bcf18cb12f6026eb1f07be93a5b4a3dca1c042 | [
"Apache-2.0"
] | 2 | 2020-08-29T17:43:26.000Z | 2020-09-29T14:34:28.000Z | tests/tasks_test.py | m4ta1l/reverse-engineering-neural-networks | a2bcf18cb12f6026eb1f07be93a5b4a3dca1c042 | [
"Apache-2.0"
] | 6 | 2020-08-29T17:43:39.000Z | 2020-10-28T11:05:28.000Z | tests/tasks_test.py | Smirenost/reverse-engineering-neural-networks | a2bcf18cb12f6026eb1f07be93a5b4a3dca1c042 | [
"Apache-2.0"
] | null | null | null | # 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, ... | 29.688 | 75 | 0.662355 |
ff167f3e77e746e08fc796910604aa8528dc5b28 | 6,310 | py | Python | plugins/cli/osbuild.py | gicmo/osbuild-koji-plugin | ab147208e9af62cbf2dd79fcba63c90c932cffac | [
"Apache-2.0"
] | 2 | 2020-09-04T12:53:31.000Z | 2020-09-04T20:42:33.000Z | plugins/cli/osbuild.py | gicmo/osbuild-koji-plugin | ab147208e9af62cbf2dd79fcba63c90c932cffac | [
"Apache-2.0"
] | null | null | null | plugins/cli/osbuild.py | gicmo/osbuild-koji-plugin | ab147208e9af62cbf2dd79fcba63c90c932cffac | [
"Apache-2.0"
] | null | null | null | """Koji osbuild integration - koji client plugin
This koji plugin provides a new 'osbuild-image' command for the koji
command line tool. It uses the 'osbuildImage' XMLRPC endpoint, that
is provided by the koji osbuild plugin for the koji hub.
"""
import json
import optparse # pylint: disable=deprecated-module
from ... | 35.055556 | 95 | 0.619176 |
ff172387a2191dd7c21430867518174cab13f852 | 5,262 | py | Python | rigl/experimental/jax/datasets/dataset_base.py | vishalbelsare/rigl | f18abc7d82ae3acc6736068408a0186c9efa575c | [
"Apache-2.0"
] | null | null | null | rigl/experimental/jax/datasets/dataset_base.py | vishalbelsare/rigl | f18abc7d82ae3acc6736068408a0186c9efa575c | [
"Apache-2.0"
] | 1 | 2022-01-16T15:07:03.000Z | 2022-01-16T15:07:03.000Z | rigl/experimental/jax/datasets/dataset_base.py | vishalbelsare/rigl | f18abc7d82ae3acc6736068408a0186c9efa575c | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2021 RigL 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 agree... | 30.77193 | 80 | 0.6832 |
ff172c0a51b03044d823d12fc6504bba8441efea | 123 | py | Python | compass/_version.py | YosefLab/Compass | f8ae5b5e0d85693ae27ee834c77ee732c49e04f8 | [
"BSD-3-Clause"
] | 38 | 2020-04-22T06:21:18.000Z | 2022-03-25T08:38:05.000Z | compass/_version.py | YosefLab/Compass | f8ae5b5e0d85693ae27ee834c77ee732c49e04f8 | [
"BSD-3-Clause"
] | 47 | 2020-06-17T08:03:06.000Z | 2022-03-25T19:44:27.000Z | compass/_version.py | YosefLab/Compass | f8ae5b5e0d85693ae27ee834c77ee732c49e04f8 | [
"BSD-3-Clause"
] | 10 | 2020-06-20T12:13:37.000Z | 2022-03-18T06:22:17.000Z | # Store the version here to be imported by both the
# setup.py file and the package's init module
__version__ = "0.9.9.9"
| 24.6 | 51 | 0.731707 |
ff17499c27549b76ebc12932a186cfaa1bafffa0 | 8,241 | py | Python | tests/pre_merge/datasets/test_dataset.py | alexriedel1/anomalib | 10db405a8f570dbf7b0f337baa6970a150323d8a | [
"Apache-2.0"
] | null | null | null | tests/pre_merge/datasets/test_dataset.py | alexriedel1/anomalib | 10db405a8f570dbf7b0f337baa6970a150323d8a | [
"Apache-2.0"
] | null | null | null | tests/pre_merge/datasets/test_dataset.py | alexriedel1/anomalib | 10db405a8f570dbf7b0f337baa6970a150323d8a | [
"Apache-2.0"
] | null | null | null | """Test Dataset."""
import os
import numpy as np
import pytest
from anomalib.config import update_input_size_config
from anomalib.data import (
BTechDataModule,
FolderDataModule,
MVTecDataModule,
get_datamodule,
)
from anomalib.pre_processing.transforms import Denormalize, ToNumpy
from tests.helpers.... | 38.152778 | 106 | 0.680136 |
ff17716eadd7f68850f952bc7b6f0d5def0f0184 | 1,622 | py | Python | heartFEM/lcleeHeart/vtk_py/readAbaqusDeformationGradients.py | WeiXuanChan/heartFEM | 7f26c71434919c3141fac600f08685e5383e7137 | [
"MIT"
] | 3 | 2021-04-13T07:05:20.000Z | 2021-10-02T13:41:09.000Z | heartFEM/lcleeHeart/vtk_py/readAbaqusDeformationGradients.py | WeiXuanChan/heartFEM | 7f26c71434919c3141fac600f08685e5383e7137 | [
"MIT"
] | null | null | null | heartFEM/lcleeHeart/vtk_py/readAbaqusDeformationGradients.py | WeiXuanChan/heartFEM | 7f26c71434919c3141fac600f08685e5383e7137 | [
"MIT"
] | 2 | 2021-09-06T13:13:41.000Z | 2022-03-11T18:59:02.000Z | ########################################################################
import numpy
import vtk
from heartFEM.lcleeHeart.vtk_py.createFloatArray import *
########################################################################
def readAbaqusDeformationGradients(data_file_name,
ver... | 33.791667 | 158 | 0.497534 |
ff177410188403691f863bb92bba161e0159cffc | 991 | py | Python | models/stylegan2_wavelet_generator.py | MoustafaMeshry/fbias_gan_residual | 798a7935d42b9987039ceddb2e415a499a2e18ce | [
"MIT"
] | null | null | null | models/stylegan2_wavelet_generator.py | MoustafaMeshry/fbias_gan_residual | 798a7935d42b9987039ceddb2e415a499a2e18ce | [
"MIT"
] | null | null | null | models/stylegan2_wavelet_generator.py | MoustafaMeshry/fbias_gan_residual | 798a7935d42b9987039ceddb2e415a499a2e18ce | [
"MIT"
] | null | null | null | import torch
from .stylegan3 import SG2WaveletGenerator as GBase
import copy
class SG2WaveletGenerator(GBase):
def __init__(self, resolution, z_dim, divide_channels_by=1, **kwargs):
default_kwargs = {
'channel_base': 32768 // divide_channels_by,
'channel_max': 512 // divide_channel... | 35.392857 | 124 | 0.635721 |
ff177a3a295b059661ba955fb0bc91649d3c2e2d | 16,138 | py | Python | botorch/generation/gen.py | LaudateCorpus1/botorch | 9af214fa0423a09b0c422613494351173dd63d6e | [
"MIT"
] | null | null | null | botorch/generation/gen.py | LaudateCorpus1/botorch | 9af214fa0423a09b0c422613494351173dd63d6e | [
"MIT"
] | null | null | null | botorch/generation/gen.py | LaudateCorpus1/botorch | 9af214fa0423a09b0c422613494351173dd63d6e | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
r"""
Candidate generation utilities.
"""
from __future__ import annotations
import warnings
from typing import Any,... | 41.592784 | 88 | 0.665014 |
ff178dcfb2e35932bec80b8ea8780cf4c9acb680 | 45,811 | py | Python | synapse/tests/test_telepath.py | kcreyts/synapse | fe740fd1e0febfa32f8d431b32ab48f8a0cf306e | [
"Apache-2.0"
] | 1 | 2021-02-15T22:07:05.000Z | 2021-02-15T22:07:05.000Z | synapse/tests/test_telepath.py | kcreyts/synapse | fe740fd1e0febfa32f8d431b32ab48f8a0cf306e | [
"Apache-2.0"
] | null | null | null | synapse/tests/test_telepath.py | kcreyts/synapse | fe740fd1e0febfa32f8d431b32ab48f8a0cf306e | [
"Apache-2.0"
] | null | null | null | import os
import ssl
import json
import socket
import asyncio
import logging
import threading
from unittest import mock
logger = logging.getLogger(__name__)
import synapse.exc as s_exc
import synapse.glob as s_glob
import synapse.common as s_common
import synapse.daemon as s_daemon
import synapse.telepath as s_telep... | 34.784358 | 128 | 0.528454 |
ff17e8b5d4b438a66fd960bd4ec714c92e12904d | 4,410 | py | Python | IMLearn/learners/classifiers/linear_discriminant_analysis.py | barnemesh/IML.HUJI | 8c5d5c95551373aae932f84cb698aa312a2d92b4 | [
"MIT"
] | null | null | null | IMLearn/learners/classifiers/linear_discriminant_analysis.py | barnemesh/IML.HUJI | 8c5d5c95551373aae932f84cb698aa312a2d92b4 | [
"MIT"
] | null | null | null | IMLearn/learners/classifiers/linear_discriminant_analysis.py | barnemesh/IML.HUJI | 8c5d5c95551373aae932f84cb698aa312a2d92b4 | [
"MIT"
] | null | null | null | from typing import NoReturn
from ...base import BaseEstimator
import numpy as np
from numpy.linalg import det, inv
class LDA(BaseEstimator):
"""
Linear Discriminant Analysis (LDA) classifier
Attributes
----------
self.classes_ : np.ndarray of shape (n_classes,)
The different labels classe... | 33.664122 | 99 | 0.595692 |
ff180b86e20b66db775b625cd70300ecd64b01be | 83 | py | Python | setup.py | geozeke/bcsim | cda4c7b458f434033b001c06bc53bc544d703256 | [
"MIT"
] | null | null | null | setup.py | geozeke/bcsim | cda4c7b458f434033b001c06bc53bc544d703256 | [
"MIT"
] | 6 | 2021-12-23T15:49:33.000Z | 2022-01-21T15:47:28.000Z | setup.py | geozeke/bcsim | cda4c7b458f434033b001c06bc53bc544d703256 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""Setup script."""
from setuptools import setup
setup()
| 10.375 | 28 | 0.686747 |
ff18548ee4ec64cd2ed3a9ce63055072addb14b7 | 1,963 | py | Python | leetcode/684.RedundantConnection/soln.py | saisankargochhayat/algo_quest | a24f9a22c019ab31d56bd5a7ca5ba790d54ce5dc | [
"Apache-2.0"
] | 3 | 2017-02-15T20:55:04.000Z | 2018-09-26T18:48:24.000Z | leetcode/684.RedundantConnection/soln.py | saisankargochhayat/algo_quest | a24f9a22c019ab31d56bd5a7ca5ba790d54ce5dc | [
"Apache-2.0"
] | 4 | 2017-10-07T18:59:20.000Z | 2019-10-08T05:43:25.000Z | leetcode/684.RedundantConnection/soln.py | saisankargochhayat/algo_quest | a24f9a22c019ab31d56bd5a7ca5ba790d54ce5dc | [
"Apache-2.0"
] | 1 | 2017-10-08T06:52:21.000Z | 2017-10-08T06:52:21.000Z | class UnionFind:
def __init__(self, n):
self.graph = [i for i in range(n+1)]
def find(self, x):
while x != self.graph[x]:
# path compression
self.graph[x] = self.graph[self.graph[x]]
x = self.graph[x]
return x
def union(self, x, y):
... | 30.2 | 92 | 0.490066 |
ff189cfa3dc4b8f42f5322578b28e1fa9d6abcf8 | 1,136 | py | Python | src/setup.py | spaceone-dev/plugin-googleoauth2-identity-auth | e30e2032aa68a7f3f70fb8afbd1e39aa30d259f9 | [
"Apache-2.0"
] | null | null | null | src/setup.py | spaceone-dev/plugin-googleoauth2-identity-auth | e30e2032aa68a7f3f70fb8afbd1e39aa30d259f9 | [
"Apache-2.0"
] | null | null | null | src/setup.py | spaceone-dev/plugin-googleoauth2-identity-auth | e30e2032aa68a7f3f70fb8afbd1e39aa30d259f9 | [
"Apache-2.0"
] | 1 | 2021-08-19T02:13:02.000Z | 2021-08-19T02:13:02.000Z | #
# Copyright 2020 The SpaceONE 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 o... | 29.128205 | 76 | 0.690141 |
ff18a71cfc3128004575bee63b2b429cd201f781 | 4,129 | py | Python | 0x08-python-more_classes/8-rectangle.py | gogomillan/holbertonschool-higher_level_programming | 1549ffc4fdc284271684321ff6edd882a314193a | [
"MIT"
] | null | null | null | 0x08-python-more_classes/8-rectangle.py | gogomillan/holbertonschool-higher_level_programming | 1549ffc4fdc284271684321ff6edd882a314193a | [
"MIT"
] | null | null | null | 0x08-python-more_classes/8-rectangle.py | gogomillan/holbertonschool-higher_level_programming | 1549ffc4fdc284271684321ff6edd882a314193a | [
"MIT"
] | null | null | null | #!/usr/bin/python3
"""Module for a class Rectangle that defines a rectangle by: (based on
7-rectangle.py)
"""
class Rectangle:
"""A class that defines a rectangle
"""
"""Public class attribute ``number_of_instances``
- Initialized to 0
- Incremented during each new instance instantiation
- D... | 27.898649 | 79 | 0.58295 |
ff18a9b534d54e2642d921d2db3165f21774d5ea | 2,366 | py | Python | src/emitters/pga_emitter.py | icaros-usc/dqd-rl | 83e3da62df37b45c4b8fc549c07f566797b5f685 | [
"MIT"
] | 6 | 2022-02-09T05:35:37.000Z | 2022-03-12T11:54:59.000Z | src/emitters/pga_emitter.py | icaros-usc/dqd-rl | 83e3da62df37b45c4b8fc549c07f566797b5f685 | [
"MIT"
] | null | null | null | src/emitters/pga_emitter.py | icaros-usc/dqd-rl | 83e3da62df37b45c4b8fc549c07f566797b5f685 | [
"MIT"
] | null | null | null | """Provides the PGAEmitter."""
import logging
import gin
import numpy as np
from ribs.emitters import EmitterBase
from src.objectives.gym_control.td3 import TD3
logger = logging.getLogger(__name__)
@gin.configurable
class PGAEmitter(EmitterBase):
"""Emitter based on the PG variation from PGA-ME."""
def __... | 29.949367 | 80 | 0.62426 |
ff18aa0f1d76ef13c354f8a49b5f61f4c4bd3261 | 1,129 | py | Python | projects/04_loading_saving_data/04_loading_saving_data.py | NJannasch/TechLabs-FlaskIntro | 24fadedd42ba2bfddbc40b0f939a47dfcf85867f | [
"MIT"
] | null | null | null | projects/04_loading_saving_data/04_loading_saving_data.py | NJannasch/TechLabs-FlaskIntro | 24fadedd42ba2bfddbc40b0f939a47dfcf85867f | [
"MIT"
] | null | null | null | projects/04_loading_saving_data/04_loading_saving_data.py | NJannasch/TechLabs-FlaskIntro | 24fadedd42ba2bfddbc40b0f939a47dfcf85867f | [
"MIT"
] | null | null | null | from flask import Flask, jsonify, request
import typing
from database import load_data, save_data
app = Flask(__name__)
my_persons: typing.List = []
@app.route('/persons', methods=['GET'])
def persons():
""" Get all persons """
return jsonify(my_persons)
@app.route('/persons', methods=['POST'])
def create_... | 24.543478 | 57 | 0.651904 |
ff18b1657370012817f73ba509d3d005adc746ab | 567 | py | Python | oop/oop_composition.py | adisen99/python_programs | a362661f46021845ec1efa5198521f7e1e0d313e | [
"MIT"
] | null | null | null | oop/oop_composition.py | adisen99/python_programs | a362661f46021845ec1efa5198521f7e1e0d313e | [
"MIT"
] | null | null | null | oop/oop_composition.py | adisen99/python_programs | a362661f46021845ec1efa5198521f7e1e0d313e | [
"MIT"
] | null | null | null | # OOP Composition
class Salary:
def __init__(self, pay, bonus):
self.pay = pay
self.bonus = bonus
def annual_salary(self):
return (self.pay * 12) + self.bonus
# Instantiating the salary class in the Employee class so
# salary class is the content and Employee class is container
class Employee:
def __init... | 21 | 61 | 0.717813 |
ff18f2801d52253370942b87fe191ab19916b46d | 25,453 | py | Python | src/sage/combinat/crystals/affine.py | saraedum/sage-renamed | d2da67b14da2ad766a5906425d60d43a3b3e1270 | [
"BSL-1.0"
] | 3 | 2016-06-19T14:48:31.000Z | 2022-01-28T08:46:01.000Z | src/sage/combinat/crystals/affine.py | rwst/sage | a9d274b9338e6ee24bf35ea8d25875507e51e455 | [
"BSL-1.0"
] | null | null | null | src/sage/combinat/crystals/affine.py | rwst/sage | a9d274b9338e6ee24bf35ea8d25875507e51e455 | [
"BSL-1.0"
] | 7 | 2021-11-08T10:01:59.000Z | 2022-03-03T11:25:52.000Z | r"""
Affine Crystals
"""
#*****************************************************************************
# Copyright (C) 2008 Brant Jones <brant at math.ucdavis.edu>
# Anne Schilling <anne at math.ucdavis.edu>
#
# Distributed under the terms of the GNU General Public License (GPL)
# ... | 33.623514 | 123 | 0.552155 |
ff190c3f5da2566d0fd4f9b2ce7eb12360b3ea86 | 9,294 | py | Python | nn_analysis/utils.py | hchau630/nn-analysis | 0fbe7ad7b2b4566b9f88d8f21413a6d405f96bdc | [
"MIT"
] | null | null | null | nn_analysis/utils.py | hchau630/nn-analysis | 0fbe7ad7b2b4566b9f88d8f21413a6d405f96bdc | [
"MIT"
] | null | null | null | nn_analysis/utils.py | hchau630/nn-analysis | 0fbe7ad7b2b4566b9f88d8f21413a6d405f96bdc | [
"MIT"
] | null | null | null | from functools import wraps
import contextlib
import random
import pathlib
import pickle
import json
import os
import sys
import signal
import numpy as np
import torch
from sklearn.decomposition import PCA
from nn_analysis import exceptions
from nn_analysis.constants import ARCH_CONFIGS_PATH, MODEL_CONFIGS_PATH
### ... | 36.447059 | 129 | 0.626533 |
ff1939b52a7bd3baf18dbe2daf97651b6104235e | 1,900 | py | Python | marqeta/response_models/digital_wallet_token_wallet_provider.py | marqeta/marqeta-python | 66fa690eb910825c510a391720b0fe717fac0234 | [
"MIT"
] | 21 | 2019-04-12T09:02:17.000Z | 2022-02-18T11:39:06.000Z | marqeta/response_models/digital_wallet_token_wallet_provider.py | marqeta/marqeta-python | 66fa690eb910825c510a391720b0fe717fac0234 | [
"MIT"
] | 1 | 2020-07-22T21:27:40.000Z | 2020-07-23T17:38:43.000Z | marqeta/response_models/digital_wallet_token_wallet_provider.py | marqeta/marqeta-python | 66fa690eb910825c510a391720b0fe717fac0234 | [
"MIT"
] | 10 | 2019-05-08T14:20:37.000Z | 2021-09-20T18:09:26.000Z | from datetime import datetime, date
from marqeta.response_models import datetime_object
import json
import re
class DigitalWalletTokenWalletProvider(object):
def __init__(self, json_response):
self.json_response = json_response
def __str__(self):
return json.dumps(self.json_response, default=... | 29.230769 | 130 | 0.749474 |
ff194396bfbe92eda5012dd5508d0f4323d33118 | 448 | py | Python | tools/dockerize/webportal/usr/lib/python2.7/site-packages/daoliproxy/api/extensions.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | 1 | 2019-09-11T11:56:19.000Z | 2019-09-11T11:56:19.000Z | tools/dockerize/webportal/usr/lib/python2.7/site-packages/daoliproxy/api/extensions.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | null | null | null | tools/dockerize/webportal/usr/lib/python2.7/site-packages/daoliproxy/api/extensions.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | null | null | null | from daoliproxy.i18n import _
from daoliproxy.api.openstack import extensions as base_extensions
from daoliproxy.openstack.common import log as logging
LOG = logging.getLogger(__name__)
class ExtensionManager(base_extensions.ExtensionManager):
def __init__(self):
LOG.audit(_('Initializing extension manage... | 32 | 66 | 0.729911 |
ff1946fec2ba95a9b450340080ace23f92006700 | 2,736 | py | Python | venv/Lib/site-packages/pyrogram/raw/types/channel_admin_log_event_action_exported_invite_edit.py | D1ne2021/jjhhhjj | a090da30983b3ef276dfe4cef2ded4526f36002a | [
"MIT"
] | 2 | 2021-12-13T07:09:55.000Z | 2022-01-12T12:15:20.000Z | venv/Lib/site-packages/pyrogram/raw/types/channel_admin_log_event_action_exported_invite_edit.py | hoangkiet1906/Botcie_ver1 | c133b915edde06dac690a7dc6ca160f6792fc4c8 | [
"MIT"
] | null | null | null | venv/Lib/site-packages/pyrogram/raw/types/channel_admin_log_event_action_exported_invite_edit.py | hoangkiet1906/Botcie_ver1 | c133b915edde06dac690a7dc6ca160f6792fc4c8 | [
"MIT"
] | null | null | null | # 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... | 36.48 | 121 | 0.664108 |
ff196008a9e4f545e9499d8b3537ec405221356d | 7,753 | py | Python | detection/utils.py | gardarjuto/deep-sea-organism-detection | 068d418362c32ddb40d694a2dfd659af1905f630 | [
"MIT"
] | null | null | null | detection/utils.py | gardarjuto/deep-sea-organism-detection | 068d418362c32ddb40d694a2dfd659af1905f630 | [
"MIT"
] | null | null | null | detection/utils.py | gardarjuto/deep-sea-organism-detection | 068d418362c32ddb40d694a2dfd659af1905f630 | [
"MIT"
] | null | null | null | import os
import logging
import sys
import random
import cv2
import numpy as np
import torch
import torch.cuda
import torch.distributed as dist
from matplotlib import pyplot as plt, patches
from matplotlib.colors import SymLogNorm
from skimage.util import view_as_windows
def initialise_distributed(args):
"""Init... | 37.274038 | 120 | 0.597833 |
ff196e9b35b024f1444c8a051385d5d141e2372b | 2,272 | py | Python | src/rubrix/sdk/models/text2_text_prediction.py | sakares/rubrix | 791ffb29815b5d24f2bbbb0fa422f85f8b30098f | [
"Apache-2.0"
] | null | null | null | src/rubrix/sdk/models/text2_text_prediction.py | sakares/rubrix | 791ffb29815b5d24f2bbbb0fa422f85f8b30098f | [
"Apache-2.0"
] | null | null | null | src/rubrix/sdk/models/text2_text_prediction.py | sakares/rubrix | 791ffb29815b5d24f2bbbb0fa422f85f8b30098f | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2021-present, the Recognai S.L. team.
#
# 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 ... | 28.759494 | 77 | 0.649208 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.