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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
627f3994b2ade29fca362ec30f86cac34a2baa81 | 152 | py | Python | resolver/mindeps/__init__.py | Shivansh-007/python-resolver | c44e93e0715d6d7a736db17122e6a606267329b2 | [
"MIT"
] | null | null | null | resolver/mindeps/__init__.py | Shivansh-007/python-resolver | c44e93e0715d6d7a736db17122e6a606267329b2 | [
"MIT"
] | null | null | null | resolver/mindeps/__init__.py | Shivansh-007/python-resolver | c44e93e0715d6d7a736db17122e6a606267329b2 | [
"MIT"
] | null | null | null | # SPDX-License-Identifier: MIT
from resolver.mindeps.__main__ import entrypoint, get_min_deps # noqa: F401
__all__ = ('entrypoint', 'get_min_deps')
| 21.714286 | 76 | 0.763158 |
6280695be38110adda77e21a75a8350fbff3df45 | 9,433 | py | Python | fabfile/data.py | nprapps/linklater | 9ba8fbefcbe9148253e5d5c47572e8b887ce9485 | [
"FSFAP"
] | null | null | null | fabfile/data.py | nprapps/linklater | 9ba8fbefcbe9148253e5d5c47572e8b887ce9485 | [
"FSFAP"
] | 47 | 2015-01-22T16:12:16.000Z | 2015-01-28T18:51:58.000Z | fabfile/data.py | nprapps/linklater | 9ba8fbefcbe9148253e5d5c47572e8b887ce9485 | [
"FSFAP"
] | 1 | 2021-02-18T11:26:35.000Z | 2021-02-18T11:26:35.000Z | #!/usr/bin/env python
"""
Commands that update or process the application data.
"""
from datetime import datetime
import json
from bs4 import BeautifulSoup
from flask import render_template
from fabric.api import task
from fabric.state import env
from facebook import GraphAPI
from twitter import Twitter, OAuth
from j... | 31.029605 | 271 | 0.56578 |
62809e7157f3314444431a1ce7fbb43f9a5fe55b | 4,277 | py | Python | glow/nn/_trainer.py | arquolo/ort | 6f2d32d739ed6a0dab81bb91018c005e47ef7e77 | [
"MIT"
] | null | null | null | glow/nn/_trainer.py | arquolo/ort | 6f2d32d739ed6a0dab81bb91018c005e47ef7e77 | [
"MIT"
] | null | null | null | glow/nn/_trainer.py | arquolo/ort | 6f2d32d739ed6a0dab81bb91018c005e47ef7e77 | [
"MIT"
] | null | null | null | from __future__ import annotations
__all__ = ['Trainer']
from collections.abc import Callable, Collection, Iterator
from dataclasses import dataclass
import torch
import torch.nn as nn
import torch.optim
from tqdm.auto import tqdm
from .. import ichunked
from .. import metrics as m
from ._loader import _Loader
from... | 32.9 | 78 | 0.575871 |
6280a1beb33550565dc8c6430459ab48faab2173 | 14,450 | py | Python | trapeza-import.py | davidmreed/trapeza-import | e745ff43f6901df47aba1ae820ca522492fa988b | [
"MIT"
] | null | null | null | trapeza-import.py | davidmreed/trapeza-import | e745ff43f6901df47aba1ae820ca522492fa988b | [
"MIT"
] | 2 | 2015-04-10T17:12:39.000Z | 2015-04-10T17:13:53.000Z | trapeza-import.py | davidmreed/trapeza-import | e745ff43f6901df47aba1ae820ca522492fa988b | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# trapeza-import.py
#
# Copyright 2013-2014 David Reed <david@ktema.org>
# This file is available under the terms of the MIT License.
#
from itertools import groupby
from operator import itemgetter, attrgetter
import hashlib
import io
import os
import sys
import pi... | 41.884058 | 118 | 0.612872 |
628148650e81ef63a14a0e7b6f3e244ba44786ee | 1,200 | py | Python | tests/test_yaml.py | janhybs/ci-hpi | 293740c7af62ecada5744ff663266de2e3d37445 | [
"MIT"
] | 1 | 2020-01-09T13:00:18.000Z | 2020-01-09T13:00:18.000Z | tests/test_yaml.py | janhybs/ci-hpi | 293740c7af62ecada5744ff663266de2e3d37445 | [
"MIT"
] | null | null | null | tests/test_yaml.py | janhybs/ci-hpi | 293740c7af62ecada5744ff663266de2e3d37445 | [
"MIT"
] | 2 | 2018-08-12T01:13:28.000Z | 2018-08-13T14:37:28.000Z | #!/bin/python3
# author: Jan Hybs
import tests
tests.fix_paths()
import yaml
from unittest import TestCase
from cihpc.cfg.config import global_configuration
from cihpc.common.utils import extend_yaml
repeat_yaml = '''
foo: !repeat a 5
'''
range_yaml = '''
foo: !range 1 5
bar: !range 1 2 6
'''
sh_yaml = '''
foo:... | 22.641509 | 78 | 0.6725 |
62825aac43334a0c4d771dfbfbed86c8e81907ef | 991 | py | Python | Greedy.py | victor3r/search-algorithms | 0256349b20b314c3337264c4c2b1ef4b1992a914 | [
"MIT"
] | null | null | null | Greedy.py | victor3r/search-algorithms | 0256349b20b314c3337264c4c2b1ef4b1992a914 | [
"MIT"
] | null | null | null | Greedy.py | victor3r/search-algorithms | 0256349b20b314c3337264c4c2b1ef4b1992a914 | [
"MIT"
] | null | null | null | from OrderedVector import OrderedVector
| 31.967742 | 62 | 0.573158 |
6283560a4c1df948a92e15782756a76d970412a4 | 3,262 | py | Python | mlf_core/create/templates/package/package_prediction/{{ cookiecutter.project_slug_no_hyphen }}/{{cookiecutter.project_slug_no_hyphen}}/cli_xgboost.py | mlf-core/mlf-core | 016f6186b5b62622c3a2b3ca884331fe0165b97c | [
"Apache-2.0"
] | 31 | 2020-10-04T14:54:54.000Z | 2021-11-22T09:33:17.000Z | mlf_core/create/templates/package/package_prediction/{{ cookiecutter.project_slug_no_hyphen }}/{{cookiecutter.project_slug_no_hyphen}}/cli_xgboost.py | mlf-core/mlf_core | cea155595df95d1d22473605d29813f5d698d635 | [
"Apache-2.0"
] | 200 | 2020-08-05T13:51:14.000Z | 2022-03-28T00:25:54.000Z | mlf_core/create/templates/package/package_prediction/{{ cookiecutter.project_slug_no_hyphen }}/{{cookiecutter.project_slug_no_hyphen}}/cli_xgboost.py | mlf-core/mlf_core | cea155595df95d1d22473605d29813f5d698d635 | [
"Apache-2.0"
] | 3 | 2020-11-29T17:03:52.000Z | 2021-06-03T13:12:03.000Z | import os
import sys
from dataclasses import dataclass
import click
import numpy as np
import xgboost as xgb
from rich import print, traceback
WD = os.path.dirname(__file__)
def parse_data_to_predict(path_to_data_to_predict: str) -> Dataset:
"""
Parses the data to predict and returns a full Dataset includ... | 31.980392 | 136 | 0.66401 |
62835966d4b0e4b0387185306e4dd38f6d24f970 | 1,597 | py | Python | onnxruntime/python/tools/quantization/operators/direct_q8.py | kimjungwow/onnxruntime-riscv | 3c21abef03190648fe68a6633ac026725e6dfc58 | [
"MIT"
] | 18 | 2020-05-19T12:48:07.000Z | 2021-04-28T06:41:57.000Z | onnxruntime/python/tools/quantization/operators/direct_q8.py | kimjungwow/onnxruntime-riscv | 3c21abef03190648fe68a6633ac026725e6dfc58 | [
"MIT"
] | 61 | 2021-05-31T05:15:41.000Z | 2022-03-29T22:34:33.000Z | onnxruntime/python/tools/quantization/operators/direct_q8.py | ekmixon/onnxruntime | 1ab8a95eb6675afb6d0ad9d93600ef0022e2ddb5 | [
"MIT"
] | 9 | 2021-05-14T20:17:26.000Z | 2022-03-20T11:44:29.000Z | from .base_operator import QuantOperatorBase
from .qdq_base_operator import QDQOperatorBase
from ..quant_utils import QuantizedValue
# For operators that support 8bits operations directly, and output could
# reuse input[0]'s type, zeropoint, scale; For example,Transpose, Reshape, etc.
| 42.026316 | 112 | 0.689418 |
628478917870596f07ee4037c6b0a49ad4980015 | 3,659 | py | Python | b01lers-ctf-2022/extreme_64_part_2/src/levels.py | novafacing/challenges | cfdfb34973880cfda03b4797d3b369344cfa4b9a | [
"MIT"
] | null | null | null | b01lers-ctf-2022/extreme_64_part_2/src/levels.py | novafacing/challenges | cfdfb34973880cfda03b4797d3b369344cfa4b9a | [
"MIT"
] | null | null | null | b01lers-ctf-2022/extreme_64_part_2/src/levels.py | novafacing/challenges | cfdfb34973880cfda03b4797d3b369344cfa4b9a | [
"MIT"
] | null | null | null | from platform import architecture
from qiling import Qiling
from typing import Union
from asm_practice.coding.challenge import ArchSpec, Challenge, TestCase
challenges = []
amd64 = ArchSpec(
pwntools_arch="amd64",
pwntools_os="linux",
qiling_rootfs="qiling/examples/rootfs/x86_linux/",
qiling_ostype="... | 27.103704 | 156 | 0.544138 |
62858c1b3ffcd01a46345c2c6590f7749e7c007a | 2,331 | py | Python | lte/gateway/python/magma/enodebd/tr069/tests/models_tests.py | Aitend/magma | 74fe7b437335728219dfbe54733955bdd652eb60 | [
"BSD-3-Clause"
] | 849 | 2020-07-17T09:15:03.000Z | 2022-03-31T17:11:52.000Z | lte/gateway/python/magma/enodebd/tr069/tests/models_tests.py | Aitend/magma | 74fe7b437335728219dfbe54733955bdd652eb60 | [
"BSD-3-Clause"
] | 8,386 | 2020-06-23T23:35:30.000Z | 2022-03-31T23:31:28.000Z | lte/gateway/python/magma/enodebd/tr069/tests/models_tests.py | Aitend/magma | 74fe7b437335728219dfbe54733955bdd652eb60 | [
"BSD-3-Clause"
] | 406 | 2020-06-28T17:02:35.000Z | 2022-03-31T22:03:55.000Z | """
Copyright 2020 The Magma Authors.
This source code is licensed under the BSD-style license found in the
LICENSE file in the root directory of this source tree.
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES O... | 31.08 | 75 | 0.56671 |
6285f9b80fd1befd47cc7c79a141c672da8b15b7 | 732 | py | Python | saleor/graphql/order/bulk_mutations/draft_orders.py | acabezasg/urpi-master | 7c9cd0fbe6d89dad70652482712ca38b21ba6f84 | [
"BSD-3-Clause"
] | 1 | 2019-04-15T09:37:26.000Z | 2019-04-15T09:37:26.000Z | saleor/graphql/order/bulk_mutations/draft_orders.py | acabezasg/urpi-master | 7c9cd0fbe6d89dad70652482712ca38b21ba6f84 | [
"BSD-3-Clause"
] | 5 | 2021-03-09T16:22:37.000Z | 2022-02-10T19:10:03.000Z | saleor/graphql/order/bulk_mutations/draft_orders.py | acabezasg/urpi-master | 7c9cd0fbe6d89dad70652482712ca38b21ba6f84 | [
"BSD-3-Clause"
] | 1 | 2020-12-26T10:25:37.000Z | 2020-12-26T10:25:37.000Z | import graphene
from ....order import OrderStatus, models
from ...core.mutations import ModelBulkDeleteMutation
| 28.153846 | 74 | 0.665301 |
62891dc073d6683815ffdf4fdf46da450a83ebad | 1,978 | py | Python | thread_extensions/callback_thread.py | Sunchasing/python-common | bc9f11fe4585ef9abca7006c0bf64b11062742fd | [
"Apache-2.0"
] | 5 | 2021-08-15T23:04:25.000Z | 2021-09-06T18:32:53.000Z | thread_extensions/callback_thread.py | Sunchasing/python-common | bc9f11fe4585ef9abca7006c0bf64b11062742fd | [
"Apache-2.0"
] | null | null | null | thread_extensions/callback_thread.py | Sunchasing/python-common | bc9f11fe4585ef9abca7006c0bf64b11062742fd | [
"Apache-2.0"
] | 1 | 2022-01-28T13:12:23.000Z | 2022-01-28T13:12:23.000Z | from threading import Thread
from typing import Any, Iterable, Mapping
from types_extensions import Function, void, safe_type
| 39.56 | 116 | 0.63549 |
62898b405054c48d9122f893fe9282577a49a61e | 55 | py | Python | enthought/traits/ui/wx/button_editor.py | enthought/etsproxy | 4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347 | [
"BSD-3-Clause"
] | 3 | 2016-12-09T06:05:18.000Z | 2018-03-01T13:00:29.000Z | enthought/traits/ui/wx/button_editor.py | enthought/etsproxy | 4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347 | [
"BSD-3-Clause"
] | 1 | 2020-12-02T00:51:32.000Z | 2020-12-02T08:48:55.000Z | enthought/traits/ui/wx/button_editor.py | enthought/etsproxy | 4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347 | [
"BSD-3-Clause"
] | null | null | null | # proxy module
from traitsui.wx.button_editor import *
| 18.333333 | 39 | 0.8 |
6289a72aad33159f7d054947864a1fb1eeedfac8 | 2,756 | py | Python | ROSITA/ARMCycleCounterImpl.py | 0xADE1A1DE/Rosita | 13a669c1877b2eb5a36be6b41a6f840d83ffd46a | [
"Apache-2.0"
] | 10 | 2020-11-22T08:17:08.000Z | 2021-12-17T04:06:01.000Z | ROSITA/ARMCycleCounterImpl.py | 0xADE1A1DE/Rosita | 13a669c1877b2eb5a36be6b41a6f840d83ffd46a | [
"Apache-2.0"
] | null | null | null | ROSITA/ARMCycleCounterImpl.py | 0xADE1A1DE/Rosita | 13a669c1877b2eb5a36be6b41a6f840d83ffd46a | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 University of Adelaide
#
# 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 ... | 29.010526 | 74 | 0.697388 |
6289d050b39c8fee926a510fc4214e7ee940d801 | 4,723 | py | Python | dust/admin.py | MerlinEmris/eBazar | f159314183a8a95afd97d36b0d3d8cf22015a512 | [
"MIT"
] | null | null | null | dust/admin.py | MerlinEmris/eBazar | f159314183a8a95afd97d36b0d3d8cf22015a512 | [
"MIT"
] | null | null | null | dust/admin.py | MerlinEmris/eBazar | f159314183a8a95afd97d36b0d3d8cf22015a512 | [
"MIT"
] | null | null | null | from django.utils.html import format_html
# null derek yazylmaly hat
admin.site.empty_value_display = '???'
admin.site.register(Item)
# str funksivany ady bilen gorkezyar
# ozine gora hat chykarmat
# email domain ady gaytar
# how to sort manually created field that related with db
# models.py
from django.db i... | 27.782353 | 94 | 0.724328 |
628a26e801e2d3e6057da42ddf0d511ab519f04e | 465 | py | Python | main.py | Lasx/gb688_downloader | 7e9711e7784c15bcd15a6129ab1fef99c8d44f23 | [
"Apache-2.0"
] | 119 | 2020-02-27T04:27:15.000Z | 2022-03-01T07:02:34.000Z | main.py | Lasx/gb688_downloader | 7e9711e7784c15bcd15a6129ab1fef99c8d44f23 | [
"Apache-2.0"
] | 12 | 2020-03-26T04:50:13.000Z | 2021-11-24T04:00:08.000Z | main.py | Lasx/gb688_downloader | 7e9711e7784c15bcd15a6129ab1fef99c8d44f23 | [
"Apache-2.0"
] | 24 | 2020-03-11T22:50:24.000Z | 2022-03-25T08:13:56.000Z | from standard import HDB, NatureStd
if __name__ == "__main__":
hb = HDB('hbba')
db = HDB('dbba')
data = db.search('')
print(data)
# first_record = data["records"][0]
# name = f'{first_record["code"]}({first_record["chName"]}'
# db.download(pk=first_record['pk'], name=name)
# std = Nat... | 27.352941 | 99 | 0.617204 |
628a35fc680aa3e71939daea214021b0a93a8fef | 6,478 | py | Python | tests/test_centering.py | chto/redmapper | 1dc66b601889ef9913f0f9b2e05980b982834485 | [
"Apache-2.0"
] | null | null | null | tests/test_centering.py | chto/redmapper | 1dc66b601889ef9913f0f9b2e05980b982834485 | [
"Apache-2.0"
] | null | null | null | tests/test_centering.py | chto/redmapper | 1dc66b601889ef9913f0f9b2e05980b982834485 | [
"Apache-2.0"
] | null | null | null | from __future__ import division, absolute_import, print_function
from past.builtins import xrange
import unittest
import numpy.testing as testing
import numpy as np
import fitsio
import os
from numpy import random
from redmapper import Cluster
from redmapper import Configuration
from redmapper import CenteringWcenZre... | 37.662791 | 123 | 0.589379 |
628a9b46dc2e473cabe5460e321c03369c91a690 | 6,581 | py | Python | converted_docs/run_pandoc.py | AndrewLoeppky/eoas_tlef | 9119023ff21b8db0faf95b4e5f62a7c06eeb6b50 | [
"BSD-3-Clause"
] | 3 | 2020-04-30T19:50:11.000Z | 2020-10-17T02:07:00.000Z | converted_docs/run_pandoc.py | AndrewLoeppky/eoas_tlef | 9119023ff21b8db0faf95b4e5f62a7c06eeb6b50 | [
"BSD-3-Clause"
] | 35 | 2020-04-21T04:25:31.000Z | 2021-11-06T22:49:44.000Z | converted_docs/run_pandoc.py | AndrewLoeppky/eoas_tlef | 9119023ff21b8db0faf95b4e5f62a7c06eeb6b50 | [
"BSD-3-Clause"
] | 11 | 2020-04-21T04:33:48.000Z | 2020-10-23T21:12:12.000Z | """
usage:
turn all docx files into markdown files
python run_pandoc.py transform-docs
turn all tex files nto markdown files
python run_pandoc.py transform-docs --doctype=tex
move all csv, md, pptx, docx, png, jpeg, jpg etc.
into Book/subdir folders, where subdir is the suffix filename
and write a file ... | 29.511211 | 89 | 0.619511 |
628ac7ff61e9eb7e83c84034316330a71c01848e | 979 | py | Python | swim/PIL2/WebPImagePlugin.py | alexsigaras/SWIM | 1a35df8acb26bdcb307a1b8f60e9feba68ed1715 | [
"MIT"
] | 3 | 2015-06-05T00:32:44.000Z | 2017-01-06T15:44:32.000Z | swim/PIL2/WebPImagePlugin.py | alexsigaras/SWIM | 1a35df8acb26bdcb307a1b8f60e9feba68ed1715 | [
"MIT"
] | null | null | null | swim/PIL2/WebPImagePlugin.py | alexsigaras/SWIM | 1a35df8acb26bdcb307a1b8f60e9feba68ed1715 | [
"MIT"
] | null | null | null | from PIL import Image
from PIL import ImageFile
from io import BytesIO
import _webp
Image.register_open("WEBP", WebPImageFile, _accept)
Image.register_save("WEBP", _save)
Image.register_extension("WEBP", ".webp")
Image.register_mime("WEBP", "image/webp")
| 28.794118 | 101 | 0.648621 |
628bbd970ba25dae836c86e32114954de704abe3 | 4,149 | py | Python | AI Class/Agents/vacuum_v2.py | e-olang/Drafts | a26c958b50826c8762ba12046d1ef6aedefe7e5b | [
"MIT"
] | null | null | null | AI Class/Agents/vacuum_v2.py | e-olang/Drafts | a26c958b50826c8762ba12046d1ef6aedefe7e5b | [
"MIT"
] | null | null | null | AI Class/Agents/vacuum_v2.py | e-olang/Drafts | a26c958b50826c8762ba12046d1ef6aedefe7e5b | [
"MIT"
] | null | null | null | from turtle import Turtle, Screen
from random import choice
from time import sleep
from queue import SimpleQueue
w: int
w, h = (853, 480)
wn = Screen()
wn.screensize(w, h)
wn.bgcolor("#d3d3d3")
Room_state = {"Clean": "#FFFFFF",
"Dirty": "#b5651d"}
cleaned = 0
A, B, X, Y = setup()
# Vaccum Cleaner
... | 23.440678 | 102 | 0.557002 |
628f60f6980f2fba69cda100a9a49fdeb649e134 | 1,226 | py | Python | notebook/dict_keys_values_items.py | vhn0912/python-snippets | 80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038 | [
"MIT"
] | 174 | 2018-05-30T21:14:50.000Z | 2022-03-25T07:59:37.000Z | notebook/dict_keys_values_items.py | vhn0912/python-snippets | 80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038 | [
"MIT"
] | 5 | 2019-08-10T03:22:02.000Z | 2021-07-12T20:31:17.000Z | notebook/dict_keys_values_items.py | vhn0912/python-snippets | 80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038 | [
"MIT"
] | 53 | 2018-04-27T05:26:35.000Z | 2022-03-25T07:59:37.000Z | d = {'key1': 1, 'key2': 2, 'key3': 3}
for k in d:
print(k)
# key1
# key2
# key3
for k in d.keys():
print(k)
# key1
# key2
# key3
keys = d.keys()
print(keys)
print(type(keys))
# dict_keys(['key1', 'key2', 'key3'])
# <class 'dict_keys'>
k_list = list(d.keys())
print(k_list)
print(type(k_list))
# ['key1', 'key... | 13.775281 | 53 | 0.546493 |
629117006004b2eb7fb514daab59fc4ecf18244d | 560 | py | Python | flows/tests/settings.py | sergioisidoro/django-flows | 326baa3e216a15bd7a8d13b2a09ba9752e250dbb | [
"BSD-2-Clause"
] | 104 | 2015-01-05T14:29:16.000Z | 2021-11-08T11:20:24.000Z | flows/tests/settings.py | sergioisidoro/django-flows | 326baa3e216a15bd7a8d13b2a09ba9752e250dbb | [
"BSD-2-Clause"
] | 4 | 2015-09-23T11:14:50.000Z | 2020-03-21T06:08:34.000Z | flows/tests/settings.py | sergioisidoro/django-flows | 326baa3e216a15bd7a8d13b2a09ba9752e250dbb | [
"BSD-2-Clause"
] | 16 | 2015-01-05T10:13:44.000Z | 2022-02-14T05:21:23.000Z | import django
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': ':memory:',
}
}
INSTALLED_APPS = ['flows', 'flows.statestore.tests', 'django_nose']
SECRET_KEY = 'flow_tests'
if django.VERSION < (1, 6):
TEST_RUNNER = 'django.test.simple.DjangoTestSuiteRunner'
TES... | 19.310345 | 67 | 0.639286 |
6291397ad5ddff8c105b169b9ffba9daa398c30c | 4,154 | py | Python | apps/site/api/serializers/video_serializer.py | LocalGround/localground | aa5a956afe7a84a7763a3b23d62a9fd925831cd7 | [
"Apache-2.0"
] | 9 | 2015-05-29T22:22:20.000Z | 2022-02-01T20:39:00.000Z | apps/site/api/serializers/video_serializer.py | LocalGround/localground | aa5a956afe7a84a7763a3b23d62a9fd925831cd7 | [
"Apache-2.0"
] | 143 | 2015-01-22T15:03:40.000Z | 2020-06-27T01:55:29.000Z | apps/site/api/serializers/video_serializer.py | LocalGround/localground | aa5a956afe7a84a7763a3b23d62a9fd925831cd7 | [
"Apache-2.0"
] | 5 | 2015-03-16T20:51:49.000Z | 2017-02-07T20:48:49.000Z | from rest_framework import serializers
from localground.apps.site.api.serializers.base_serializer import \
BaseSerializer, NamedSerializerMixin, ProjectSerializerMixin, \
GeometrySerializerMixin
from localground.apps.site import models, widgets
from localground.apps.site.api import fields
import re
| 37.089286 | 78 | 0.586904 |
6291f51816dba816b4da164bad84c6226c1b1dd7 | 957 | py | Python | learning/async/test_async.py | Nephrin/Tut | 9454be28fd37c155d0b4e97876196f8d33ccf8e5 | [
"Apache-2.0"
] | 2 | 2019-06-23T07:17:30.000Z | 2019-07-06T15:15:42.000Z | learning/async/test_async.py | Nephrin/Tut | 9454be28fd37c155d0b4e97876196f8d33ccf8e5 | [
"Apache-2.0"
] | null | null | null | learning/async/test_async.py | Nephrin/Tut | 9454be28fd37c155d0b4e97876196f8d33ccf8e5 | [
"Apache-2.0"
] | 1 | 2019-06-23T07:17:43.000Z | 2019-06-23T07:17:43.000Z | # Testing out some stuff with async and await
# We can use the await statement in coroutines to call
# coroutines as normal functions; i.e. what it implies is that
# if we runt return await func(*args) in a courtoune
# is like running return func2(*args) in a normal def function
def run(coro, *args):
try:... | 30.870968 | 70 | 0.695925 |
654e2a43d7785c171e931fd74c28957f5d42803a | 465 | py | Python | hmm_data.py | vvhitedog/pystan-hmm | 48bcb3d94eff09b4002ffa4b1fa70740b4ee35e3 | [
"BSD-2-Clause"
] | null | null | null | hmm_data.py | vvhitedog/pystan-hmm | 48bcb3d94eff09b4002ffa4b1fa70740b4ee35e3 | [
"BSD-2-Clause"
] | null | null | null | hmm_data.py | vvhitedog/pystan-hmm | 48bcb3d94eff09b4002ffa4b1fa70740b4ee35e3 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/python
import numpy as np
from matplotlib import pyplot as plt
theta = np.asarray([[.8,.2],[.1,.9]])
psi = np.asarray([3.,9.])
N = 100
K = 2
# sample z
z = np.empty(N,dtype='int')
z[0] = 1
for i in range(1,N):
z[i] = np.random.choice(np.arange(K),size=1,replace=True,p=theta[z[i-1]])
y = np.random.r... | 16.034483 | 77 | 0.630108 |
654e6ec194bd32832a9d3c23d9b1b14efdd455a2 | 19,721 | py | Python | s2e_env/commands/image_build.py | michaelbrownuc/s2e-env | 4bd6a45bf1ec9456ed5acf5047b6aac3fcd19683 | [
"BSD-3-Clause"
] | null | null | null | s2e_env/commands/image_build.py | michaelbrownuc/s2e-env | 4bd6a45bf1ec9456ed5acf5047b6aac3fcd19683 | [
"BSD-3-Clause"
] | null | null | null | s2e_env/commands/image_build.py | michaelbrownuc/s2e-env | 4bd6a45bf1ec9456ed5acf5047b6aac3fcd19683 | [
"BSD-3-Clause"
] | null | null | null | """
Copyright (c) 2017 Cyberhaven
Copyright (c) 2017 Dependable Systems Laboratory, EPFL
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 right... | 36.3186 | 120 | 0.617565 |
654f10479c322ddf45d78b5c826a8ece925a9fa9 | 11,758 | py | Python | chart_analysis.py | DeltaEpsilon7787/SimfileLibrary | af9f0949c21ad69465c8444161e069148bec574d | [
"MIT"
] | null | null | null | chart_analysis.py | DeltaEpsilon7787/SimfileLibrary | af9f0949c21ad69465c8444161e069148bec574d | [
"MIT"
] | null | null | null | chart_analysis.py | DeltaEpsilon7787/SimfileLibrary | af9f0949c21ad69465c8444161e069148bec574d | [
"MIT"
] | null | null | null | import collections
from functools import lru_cache
from itertools import groupby, permutations
from operator import attrgetter
from typing import Counter, FrozenSet, Generic, List, Tuple, TypeVar, Union, cast
from attr import attrs, evolve
from .basic_types import Beat, CheaperFraction, NoteObject, Time, make_ordered... | 32.213699 | 118 | 0.608352 |
654fb2a6de595344cf7603c4bae18a08ffdc2465 | 2,271 | py | Python | websocket_chat_server.py | ringolol/ru-gpts | 991ef3fb4dbe46f7512ec958704c6fa9998049ab | [
"Apache-2.0"
] | null | null | null | websocket_chat_server.py | ringolol/ru-gpts | 991ef3fb4dbe46f7512ec958704c6fa9998049ab | [
"Apache-2.0"
] | null | null | null | websocket_chat_server.py | ringolol/ru-gpts | 991ef3fb4dbe46f7512ec958704c6fa9998049ab | [
"Apache-2.0"
] | null | null | null | # WS server chat
import asyncio
import websockets
import torch
from transformers import AutoTokenizer, AutoModel, AutoModelWithLMHead
model_name = "sberbank-ai/rugpt2large" # "sberbank-ai/rugpt3large_based_on_gpt2"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelWithLMHead.from_pretrained(mode... | 30.689189 | 110 | 0.632321 |
6551a8bf653eda6b0c4ad77b9367ce0b7593d0e5 | 1,595 | py | Python | mocket/utils.py | hectorcanto/python-mocket | 76b6e26f51366a8f3494f3a767fb681af4e39ad8 | [
"BSD-3-Clause"
] | null | null | null | mocket/utils.py | hectorcanto/python-mocket | 76b6e26f51366a8f3494f3a767fb681af4e39ad8 | [
"BSD-3-Clause"
] | null | null | null | mocket/utils.py | hectorcanto/python-mocket | 76b6e26f51366a8f3494f3a767fb681af4e39ad8 | [
"BSD-3-Clause"
] | null | null | null | import binascii
import io
import os
import ssl
from .compat import decode_from_bytes, encode_to_bytes
SSL_PROTOCOL = ssl.PROTOCOL_SSLv23
def hexdump(binary_string):
r"""
>>> hexdump(b"bar foobar foo") == decode_from_bytes(encode_to_bytes("62 61 72 20 66 6F 6F 62 61 72 20 66 6F 6F"))
True
"""
b... | 24.166667 | 117 | 0.664577 |
6551e1e19c5f8e4bf2d8b7c5b7b2115585ea7098 | 121 | py | Python | exercicios_fixacao/lista04/repet_lim_ex6.py | PauloVictorSS/unicamp-mc102 | 077ca3ea6d3df40ebe205c2e874d20a934ea5541 | [
"MIT"
] | null | null | null | exercicios_fixacao/lista04/repet_lim_ex6.py | PauloVictorSS/unicamp-mc102 | 077ca3ea6d3df40ebe205c2e874d20a934ea5541 | [
"MIT"
] | null | null | null | exercicios_fixacao/lista04/repet_lim_ex6.py | PauloVictorSS/unicamp-mc102 | 077ca3ea6d3df40ebe205c2e874d20a934ea5541 | [
"MIT"
] | null | null | null | number = int(input())
raiz = number/2
for i in range(1,20):
raiz = ((raiz ** 2) + number) / (2 * raiz)
print(raiz) | 15.125 | 46 | 0.561983 |
65532dd4c64895eea8a26b3bd064fbb56add0988 | 1,726 | py | Python | load.py | leonjovanovic/drl-ppo-bipedal-walker | 5005bb396b409079fbb2065a2ecd5c956ba86630 | [
"MIT"
] | 1 | 2022-01-21T23:19:20.000Z | 2022-01-21T23:19:20.000Z | load.py | leonjovanovic/drl-ppo-bipedal-walker | 5005bb396b409079fbb2065a2ecd5c956ba86630 | [
"MIT"
] | null | null | null | load.py | leonjovanovic/drl-ppo-bipedal-walker | 5005bb396b409079fbb2065a2ecd5c956ba86630 | [
"MIT"
] | null | null | null | import gym
import numpy as np
import torch
import Config
import NN
import json
PATH_DATA = 'models/data23.15.9.40.json'
PATH_MODEL = 'models/model23.15.9.40.p'
with open(PATH_DATA, 'r') as f:
json_load = json.loads(f.read())
obs_rms_mean = np.asarray(json_load["obs_rms_mean"])
obs_rms_var = np.asarra... | 35.958333 | 103 | 0.669757 |
6558e8275ddb990e4df9e50898094d28930069c7 | 1,111 | py | Python | generate_sl4_1.8.py | qiantianpei/anonymizer | 5a1cd276b6c9766b54db187dd4750a04f7559665 | [
"Apache-2.0"
] | null | null | null | generate_sl4_1.8.py | qiantianpei/anonymizer | 5a1cd276b6c9766b54db187dd4750a04f7559665 | [
"Apache-2.0"
] | null | null | null | generate_sl4_1.8.py | qiantianpei/anonymizer | 5a1cd276b6c9766b54db187dd4750a04f7559665 | [
"Apache-2.0"
] | 2 | 2020-10-28T18:35:44.000Z | 2020-11-10T07:37:49.000Z | import json
from PIL import Image
with open('/home/tianpei.qian/workspace/data_local/sl4_front_1.0/sl4_side_val_1.7.json') as f:
val_1_7 = json.load(f)
with open('sl4_side_val_1.7/results.json') as f:
new_1_8 = json.load(f)
ROOT = '/home/tianpei.qian/workspace/data_local/sl4_front_1.0/'
for old, new in zip(... | 39.678571 | 130 | 0.633663 |
65599b2db0af8388cda22867211e56c2902c85cb | 3,815 | py | Python | experiments/vitchyr/icml2017/watermaze_memory/generate_bellman_ablation_figure_data.py | Asap7772/rail-rl-franka-eval | 4bf99072376828193d05b53cf83c7e8f4efbd3ba | [
"MIT"
] | null | null | null | experiments/vitchyr/icml2017/watermaze_memory/generate_bellman_ablation_figure_data.py | Asap7772/rail-rl-franka-eval | 4bf99072376828193d05b53cf83c7e8f4efbd3ba | [
"MIT"
] | null | null | null | experiments/vitchyr/icml2017/watermaze_memory/generate_bellman_ablation_figure_data.py | Asap7772/rail-rl-franka-eval | 4bf99072376828193d05b53cf83c7e8f4efbd3ba | [
"MIT"
] | null | null | null | """
Generate data for ablation analysis for ICML 2017 workshop paper.
"""
import random
from torch.nn import functional as F
from railrl.envs.pygame.water_maze import (
WaterMazeMemory,
)
from railrl.exploration_strategies.ou_strategy import OUStrategy
from railrl.launchers.launcher_util import (
run_experime... | 30.03937 | 69 | 0.5827 |
6559e635e127e3a20be2565ece18e60b7e2271a6 | 1,053 | py | Python | setup.py | briancappello/py-meta-utils | 342a1ba804bd240044b96ae7ceb636c27fa5c95c | [
"MIT"
] | 1 | 2020-11-25T14:37:09.000Z | 2020-11-25T14:37:09.000Z | setup.py | briancappello/py-meta-utils | 342a1ba804bd240044b96ae7ceb636c27fa5c95c | [
"MIT"
] | null | null | null | setup.py | briancappello/py-meta-utils | 342a1ba804bd240044b96ae7ceb636c27fa5c95c | [
"MIT"
] | null | null | null | from setuptools import setup
with open('README.md', encoding='utf-8') as f:
long_description = f.read()
setup(
name='Py-Meta-Utils',
version='0.7.8',
description='Metaclass utilities for Python',
long_description=long_description,
long_description_content_type='text/markdown',
url='https... | 25.682927 | 61 | 0.603989 |
6559f6467029322c3a83d9fc2e0fd805cb80dd9c | 363 | py | Python | wflow/doc/pcraster-for-doc-only/pcraster/pcrstat.py | quanpands/wflow | b454a55e4a63556eaac3fbabd97f8a0b80901e5a | [
"MIT"
] | null | null | null | wflow/doc/pcraster-for-doc-only/pcraster/pcrstat.py | quanpands/wflow | b454a55e4a63556eaac3fbabd97f8a0b80901e5a | [
"MIT"
] | 2 | 2018-07-05T14:36:18.000Z | 2020-03-19T21:16:37.000Z | build/bin/pcraster/framework/pcrstat.py | openearth/hydro-model-generator-wflow | 6f689859d0a9a307324db3dbe3f03c51884a42a8 | [
"MIT"
] | null | null | null | import math
# Returns a percentile of an array. It is assumed that the array is already
# sorted.
#
# The array must not be empty.
#
# Percentile must have a value between [0, 1.0].
| 25.928571 | 75 | 0.707989 |
655a5cff4fee32ccc4f815a5371fc224869e3257 | 9,512 | py | Python | asetk/format/yambo.py | ltalirz/asetk | bdb31934a5eb49d601e492fc98078d27f5dd2ebd | [
"MIT"
] | 18 | 2017-02-07T21:35:21.000Z | 2021-09-02T13:44:36.000Z | asetk/format/yambo.py | ltalirz/asetk | bdb31934a5eb49d601e492fc98078d27f5dd2ebd | [
"MIT"
] | 4 | 2016-10-20T21:23:23.000Z | 2020-05-07T07:35:31.000Z | asetk/format/yambo.py | ltalirz/asetk | bdb31934a5eb49d601e492fc98078d27f5dd2ebd | [
"MIT"
] | 11 | 2016-10-20T21:17:20.000Z | 2021-04-13T15:23:47.000Z | """Classes for use with Yambo
Representation of a spectrum.
Main functionality is to read from Yambo output, o.qp files
and also netcdf databases.
"""
import re
import copy as cp
import numpy as np
import asetk.atomistic.fundamental as fu
import asetk.atomistic.constants as atc
from . import cube
def shift(sel... | 30.983713 | 96 | 0.54815 |
655a775ff795ff440709723d33d45d1b64c46416 | 733 | py | Python | Chapter02/unittests/testExercise2_07.py | nijinjose/The-Supervised-Learning-Workshop | 33a2fec1e202dc1394116ed7a194bd8cabb61d49 | [
"MIT"
] | 19 | 2020-03-24T20:35:22.000Z | 2022-01-03T19:19:48.000Z | Chapter02/unittests/testExercise2_07.py | thisabhijit/The-Supervised-Learning-Workshop | 33a2fec1e202dc1394116ed7a194bd8cabb61d49 | [
"MIT"
] | null | null | null | Chapter02/unittests/testExercise2_07.py | thisabhijit/The-Supervised-Learning-Workshop | 33a2fec1e202dc1394116ed7a194bd8cabb61d49 | [
"MIT"
] | 50 | 2020-01-03T10:22:30.000Z | 2022-01-15T07:54:26.000Z | import unittest
import os
import json
import pandas as pd
import numpy as np
if __name__ == '__main__':
unittest.main() | 34.904762 | 102 | 0.649386 |
655b3273748ed0aac050a9902d9955141b494618 | 6,684 | py | Python | models/cfnet.py | Cousin-Zan/Semantic-Segmentation-for-Steel-Strip-Surface-Defect-Detection | ae135743cc190cdf5a04b5d3ca04dde44f6dd58a | [
"Apache-2.0"
] | null | null | null | models/cfnet.py | Cousin-Zan/Semantic-Segmentation-for-Steel-Strip-Surface-Defect-Detection | ae135743cc190cdf5a04b5d3ca04dde44f6dd58a | [
"Apache-2.0"
] | null | null | null | models/cfnet.py | Cousin-Zan/Semantic-Segmentation-for-Steel-Strip-Surface-Defect-Detection | ae135743cc190cdf5a04b5d3ca04dde44f6dd58a | [
"Apache-2.0"
] | 1 | 2022-01-20T06:06:21.000Z | 2022-01-20T06:06:21.000Z | """
The implementation of PAN (Pyramid Attention Networks) based on Tensorflow.
@Author: Yang Lu
@Author: Zan Peng
@Github: https://github.com/luyanger1799
@Github: https://github.com/Cousin-Zan
@Project: https://github.com/luyanger1799/amazing-semantic-segmentation
"""
from utils import layers as custom_layers
from ... | 36.52459 | 113 | 0.623429 |
655c497fe83653b39f7896791196ee547dcad9d2 | 2,340 | py | Python | api/test/test_cli/test_bra_record_helper/test_persist.py | RemiDesgrange/nivo | e13dcd7c00d1fbc41c23d51c9004901d7704b498 | [
"MIT"
] | 2 | 2019-05-07T20:23:59.000Z | 2020-04-26T11:18:38.000Z | api/test/test_cli/test_bra_record_helper/test_persist.py | RemiDesgrange/nivo | e13dcd7c00d1fbc41c23d51c9004901d7704b498 | [
"MIT"
] | 89 | 2019-08-06T12:47:50.000Z | 2022-03-28T04:03:25.000Z | api/test/test_cli/test_bra_record_helper/test_persist.py | RemiDesgrange/nivo | e13dcd7c00d1fbc41c23d51c9004901d7704b498 | [
"MIT"
] | 1 | 2020-06-23T10:07:38.000Z | 2020-06-23T10:07:38.000Z | from uuid import UUID
from sqlalchemy import select, bindparam
from nivo_api.cli.bra_record_helper.persist import persist_zone, persist_massif
from nivo_api.core.db.connection import connection_scope
from nivo_api.core.db.models.sql.bra import ZoneTable, DepartmentTable, MassifTable
from test.pytest_fixtures import... | 33.428571 | 83 | 0.571368 |
655d1df65aed622243c78b66ce8d27bd0eb7b948 | 780 | py | Python | FractionalKnapsack.py | shatheesh171/greedy-algos | 2826f57be7b7c6223e266cf2283cc79e040e094a | [
"MIT"
] | null | null | null | FractionalKnapsack.py | shatheesh171/greedy-algos | 2826f57be7b7c6223e266cf2283cc79e040e094a | [
"MIT"
] | null | null | null | FractionalKnapsack.py | shatheesh171/greedy-algos | 2826f57be7b7c6223e266cf2283cc79e040e094a | [
"MIT"
] | null | null | null |
item1=Item(20,100)
item2=Item(30,120)
item3=Item(10,60)
cList=[item1,item2,item3]
knapsackMethod(cList,50) | 25.16129 | 51 | 0.637179 |
655e6832b1d17e6f32fa6e6e3a8b08c294e9b6de | 4,146 | py | Python | jspp_imageutils/image/chunking.py | jspaezp/jspp_imageutils | 6376e274a1b0675622a7979c181b9effc125aa09 | [
"Apache-2.0"
] | null | null | null | jspp_imageutils/image/chunking.py | jspaezp/jspp_imageutils | 6376e274a1b0675622a7979c181b9effc125aa09 | [
"Apache-2.0"
] | null | null | null | jspp_imageutils/image/chunking.py | jspaezp/jspp_imageutils | 6376e274a1b0675622a7979c181b9effc125aa09 | [
"Apache-2.0"
] | null | null | null | import itertools
import numpy as np
from jspp_imageutils.image.types import GenImgArray, GenImgBatch
from typing import Tuple, Iterable, Iterator
# TODO: fix everywhere the x and y axis nomenclature
"""
chunk_image_on_position -> returns images
chunk_image_generator -> returns images
chunk_data_image_generator -> re... | 33.168 | 74 | 0.605885 |
655f05c48f34f6d4f2b19130434604b15e5c99a3 | 1,598 | py | Python | python/craftassist/ttad/generation_dialogues/build_scene_flat_script.py | satyamedh/craftassist | d97cbc14bc25149d3ef41737231ab9f3cb7e392a | [
"MIT"
] | 626 | 2019-07-18T18:40:44.000Z | 2022-03-29T17:34:43.000Z | python/craftassist/ttad/generation_dialogues/build_scene_flat_script.py | satyamedh/craftassist | d97cbc14bc25149d3ef41737231ab9f3cb7e392a | [
"MIT"
] | 42 | 2019-07-27T11:04:15.000Z | 2021-02-23T03:15:14.000Z | python/craftassist/ttad/generation_dialogues/build_scene_flat_script.py | satyamedh/craftassist | d97cbc14bc25149d3ef41737231ab9f3cb7e392a | [
"MIT"
] | 89 | 2019-07-19T15:07:39.000Z | 2022-02-15T18:44:24.000Z | if __name__ == "__main__":
import argparse
import pickle
import os
from tqdm import tqdm
from build_scene import *
from block_data import COLOR_BID_MAP
BLOCK_DATA = pickle.load(
open("/private/home/aszlam/minecraft_specs/block_images/block_data", "rb")
)
allowed_blocktypes ... | 32.612245 | 99 | 0.621402 |
655fb86e683d32b0ac543bc333e3c26a2dfbef4d | 1,256 | py | Python | modules/transfer/scripts/info.py | sishuiliunian/falcon-plus | eb6e2a5c29b26812601535cec602b33ee42b0632 | [
"Apache-2.0"
] | 7,208 | 2017-01-15T08:32:54.000Z | 2022-03-31T14:09:04.000Z | modules/transfer/scripts/info.py | sishuiliunian/falcon-plus | eb6e2a5c29b26812601535cec602b33ee42b0632 | [
"Apache-2.0"
] | 745 | 2017-01-17T06:55:21.000Z | 2022-03-28T03:33:45.000Z | modules/transfer/scripts/info.py | sishuiliunian/falcon-plus | eb6e2a5c29b26812601535cec602b33ee42b0632 | [
"Apache-2.0"
] | 1,699 | 2017-01-11T09:16:44.000Z | 2022-03-29T10:40:31.000Z | import requests
# Copyright 2017 Xiaomi, 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 agree... | 32.205128 | 96 | 0.630573 |
655fe9ed2aae210f7f4352487b731196a667f5ea | 18,904 | py | Python | pyhpecw7/features/interface.py | zhangshilinh3c/pyhpecw7 | 93bc0d323be89b3672413bbddd25c66f75640fb5 | [
"Apache-2.0"
] | null | null | null | pyhpecw7/features/interface.py | zhangshilinh3c/pyhpecw7 | 93bc0d323be89b3672413bbddd25c66f75640fb5 | [
"Apache-2.0"
] | null | null | null | pyhpecw7/features/interface.py | zhangshilinh3c/pyhpecw7 | 93bc0d323be89b3672413bbddd25c66f75640fb5 | [
"Apache-2.0"
] | 1 | 2022-01-27T12:17:20.000Z | 2022-01-27T12:17:20.000Z | """Manage interfaces on HPCOM7 devices.
"""
from pyhpecw7.utils.xml.lib import reverse_value_map
from pyhpecw7.features.errors import InterfaceCreateError, InterfaceTypeError,\
InterfaceAbsentError, InterfaceParamsError, InterfaceVlanMustExist
from pyhpecw7.features.vlan import Vlan
from pyhpecw7.utils.xml.lib im... | 34.75 | 98 | 0.541473 |
6561c740148f4e9dc7f6313a8907266fbf944537 | 233 | py | Python | backend/src/urls.py | Ornstein89/LeadersOfDigital2021_FoxhoundTeam | a376525b07b900bd69dbc274daef66ddad7f1800 | [
"MIT"
] | null | null | null | backend/src/urls.py | Ornstein89/LeadersOfDigital2021_FoxhoundTeam | a376525b07b900bd69dbc274daef66ddad7f1800 | [
"MIT"
] | null | null | null | backend/src/urls.py | Ornstein89/LeadersOfDigital2021_FoxhoundTeam | a376525b07b900bd69dbc274daef66ddad7f1800 | [
"MIT"
] | null | null | null | from django.contrib import admin
from django.urls import path, include
from src.base import urls as base_api
urlpatterns = [
path('admin/', admin.site.urls),
path('rest_api/', include(
base_api.urlpatterns
)),
] | 21.181818 | 37 | 0.690987 |
65630efee031ba20e8ef330189053978c1325cc3 | 1,610 | py | Python | mobilib/voronoi.py | simberaj/mobilib | ae350d095a34f53704bd4aaaf7f45e573bda779a | [
"MIT"
] | null | null | null | mobilib/voronoi.py | simberaj/mobilib | ae350d095a34f53704bd4aaaf7f45e573bda779a | [
"MIT"
] | null | null | null | mobilib/voronoi.py | simberaj/mobilib | ae350d095a34f53704bd4aaaf7f45e573bda779a | [
"MIT"
] | null | null | null | """Compute ordinary Voronoi diagrams in Shapely geometries."""
import operator
import numpy
import scipy.spatial
import shapely.geometry
import shapely.geometry.base
import shapely.prepared
| 30.377358 | 77 | 0.657143 |
65632cf97d92397090002645e3a65de42c6a7e8a | 12,147 | py | Python | ml4tc/scripts/plot_composite_saliency_map.py | thunderhoser/ml4tc | dd97972675c462634cf43fa9ad486049429095e9 | [
"MIT"
] | 2 | 2021-08-24T04:24:22.000Z | 2021-09-29T07:52:21.000Z | ml4tc/scripts/plot_composite_saliency_map.py | thunderhoser/ml4tc | dd97972675c462634cf43fa9ad486049429095e9 | [
"MIT"
] | null | null | null | ml4tc/scripts/plot_composite_saliency_map.py | thunderhoser/ml4tc | dd97972675c462634cf43fa9ad486049429095e9 | [
"MIT"
] | null | null | null | """Plots composite saliency map."""
import argparse
import numpy
import matplotlib
matplotlib.use('agg')
from matplotlib import pyplot
from gewittergefahr.gg_utils import general_utils as gg_general_utils
from gewittergefahr.gg_utils import file_system_utils
from gewittergefahr.plotting import imagemagick_utils
from m... | 36.697885 | 80 | 0.724788 |
6563e55d840f23f4832429e81437245ecfd8105f | 16,089 | py | Python | Autocoders/Python/src/fprime_ac/models/CompFactory.py | LeStarch/lgtm-fprime | 904b0311fe647745b29075d44259d1dc1f4284ae | [
"Apache-2.0"
] | 1 | 2021-01-30T15:53:01.000Z | 2021-01-30T15:53:01.000Z | Autocoders/Python/src/fprime_ac/models/CompFactory.py | LeStarch/lgtm-fprime | 904b0311fe647745b29075d44259d1dc1f4284ae | [
"Apache-2.0"
] | 1 | 2020-12-03T14:14:51.000Z | 2020-12-03T14:14:51.000Z | Autocoders/Python/src/fprime_ac/models/CompFactory.py | LeStarch/lgtm-fprime | 904b0311fe647745b29075d44259d1dc1f4284ae | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# ===============================================================================
# NAME: CompFactory.py
#
# DESCRIPTION: This is a factory class for instancing the Component
# and building up the Port and Arg configuration required.
#
# AUTHOR: reder
# EMAIL: reder@jpl.nasa.gov
# D... | 37.503497 | 144 | 0.514948 |
65644397de88c237a6908c085913149171a8b5ff | 7,896 | py | Python | Algo_Ds_Notes-master/Algo_Ds_Notes-master/A_Star_Search_Algorithm/A_Star_Search_Algorithm.py | rajatenzyme/Coding-Journey- | 65a0570153b7e3393d78352e78fb2111223049f3 | [
"MIT"
] | null | null | null | Algo_Ds_Notes-master/Algo_Ds_Notes-master/A_Star_Search_Algorithm/A_Star_Search_Algorithm.py | rajatenzyme/Coding-Journey- | 65a0570153b7e3393d78352e78fb2111223049f3 | [
"MIT"
] | null | null | null | Algo_Ds_Notes-master/Algo_Ds_Notes-master/A_Star_Search_Algorithm/A_Star_Search_Algorithm.py | rajatenzyme/Coding-Journey- | 65a0570153b7e3393d78352e78fb2111223049f3 | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
no_rows = int(input("Enter number of rows: "))
no_cols = int(input("Enter number of columns: "))
matrix = Preprocess(str(input("Enter Matrix: ")) , no_rows , no_cols).process_text()
start_x = int(input("Enter x coordinate of starting node: "))
start_y = int(inpu... | 37.6 | 172 | 0.517477 |
6564bbdf498ee27811e27e457eaf27523a8129cd | 1,765 | py | Python | setup.py | ikonst/dql | e9d3aa22873076dae5ebd02e35318aa996b1e56a | [
"MIT"
] | null | null | null | setup.py | ikonst/dql | e9d3aa22873076dae5ebd02e35318aa996b1e56a | [
"MIT"
] | null | null | null | setup.py | ikonst/dql | e9d3aa22873076dae5ebd02e35318aa996b1e56a | [
"MIT"
] | null | null | null | """ Setup file """
import os
from setuptools import setup, find_packages
HERE = os.path.abspath(os.path.dirname(__file__))
README = open(os.path.join(HERE, "README.rst")).read()
CHANGES = open(os.path.join(HERE, "CHANGES.rst")).read()
REQUIREMENTS = [
"dynamo3>=0.4.7",
"future>=0.15.0",
"pyparsing==2.1.... | 31.517857 | 61 | 0.571671 |
65682d4917d1f98a115d05b121741cbfe858fff9 | 3,368 | py | Python | runner.py | leodenault/mhw_optimizer | 3478ea07361291c6fa0bbd9fc0b9906914321772 | [
"MIT"
] | null | null | null | runner.py | leodenault/mhw_optimizer | 3478ea07361291c6fa0bbd9fc0b9906914321772 | [
"MIT"
] | null | null | null | runner.py | leodenault/mhw_optimizer | 3478ea07361291c6fa0bbd9fc0b9906914321772 | [
"MIT"
] | 1 | 2020-03-31T01:51:56.000Z | 2020-03-31T01:51:56.000Z | import multiprocessing
import csv_exporter
from combination.brute_force_combination_algorithm import \
BruteForceCombinationAlgorithm
from combination.combiner import Combiner
from combination.constrained_combination_algorithm import \
ConstrainedCombinationAlgorithm
from config.config_importer import ConfigIm... | 33.68 | 80 | 0.68171 |
65689df9a53af776eb5d8ed7fadb2de295eee509 | 1,959 | py | Python | setup.py | AurelienLourot/lsankidb | 74479dd26e3a1ba7e40aca7740668998ff3ab944 | [
"Unlicense"
] | 26 | 2018-04-21T15:49:19.000Z | 2022-03-01T00:42:37.000Z | setup.py | AurelienLourot/lsankidb | 74479dd26e3a1ba7e40aca7740668998ff3ab944 | [
"Unlicense"
] | 2 | 2019-02-02T04:20:04.000Z | 2020-05-08T09:03:28.000Z | setup.py | AurelienLourot/lsankidb | 74479dd26e3a1ba7e40aca7740668998ff3ab944 | [
"Unlicense"
] | 1 | 2020-08-19T20:59:18.000Z | 2020-08-19T20:59:18.000Z | from setuptools import setup
import src
setup(name='lsankidb',
version=src.__version__,
install_requires=['AnkiTools'],
description='"ls" for your local Anki database.',
#FIXME this duplicates README.md
long_description="""
.. image:: https://cdn.jsdelivr.net/gh/AurelienLourot/lsankidb@c... | 30.609375 | 123 | 0.566616 |
656a26c896dba737b3e9298b257c0fdd56db182e | 274 | py | Python | output/models/ibm_data/valid/s3_12/s3_12v06_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 1 | 2021-08-14T17:59:21.000Z | 2021-08-14T17:59:21.000Z | output/models/ibm_data/valid/s3_12/s3_12v06_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 4 | 2020-02-12T21:30:44.000Z | 2020-04-15T20:06:46.000Z | output/models/ibm_data/valid/s3_12/s3_12v06_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | null | null | null | from output.models.ibm_data.valid.s3_12.s3_12v06_xsd.s3_12v06 import (
ChildTypeBase,
ChildTypeDerived,
CtAlt1,
CtAlt2,
CtBase,
Root,
)
__all__ = [
"ChildTypeBase",
"ChildTypeDerived",
"CtAlt1",
"CtAlt2",
"CtBase",
"Root",
]
| 15.222222 | 70 | 0.616788 |
656a2c3eae1d6b7509dea9e1654cbf2d7ca142de | 936 | py | Python | main/component/database.py | nguyentranhoan/uit-mobile | 8546312b01373d94cf00c64f7eacb769e0f4ccce | [
"BSD-3-Clause"
] | null | null | null | main/component/database.py | nguyentranhoan/uit-mobile | 8546312b01373d94cf00c64f7eacb769e0f4ccce | [
"BSD-3-Clause"
] | null | null | null | main/component/database.py | nguyentranhoan/uit-mobile | 8546312b01373d94cf00c64f7eacb769e0f4ccce | [
"BSD-3-Clause"
] | null | null | null | import logging
from injector import inject, singleton
from starlette.config import Config
from common.database import BaseDatabase
LOGGER = logging.getLogger(__name__)
| 22.829268 | 70 | 0.702991 |
656a96b402f3415f23db4722e5168fd52c75cff5 | 832 | py | Python | preml/showtime/showie.py | 5amron/pre-ml | 3dff146d89468f4db0b7a9d92f3b0a26854efaf8 | [
"MIT"
] | 3 | 2017-09-03T17:55:54.000Z | 2018-11-24T13:11:19.000Z | preml/showtime/showie.py | 5amron/pre-ml | 3dff146d89468f4db0b7a9d92f3b0a26854efaf8 | [
"MIT"
] | 2 | 2021-12-08T14:51:24.000Z | 2021-12-09T15:42:09.000Z | preml/showtime/showie.py | 5amron/pre-ml | 3dff146d89468f4db0b7a9d92f3b0a26854efaf8 | [
"MIT"
] | 2 | 2019-07-16T01:28:48.000Z | 2020-04-12T21:23:08.000Z | from . import baco_show
# solution === (new_dataset, best_ant_road, acc_before_run, best_fit_so_far, total_feature_num, best_selected_features_num, best_fitnesses_each_iter, average_fitnesses_each_iter ,num_of_features_selected_by_best_ant_each_iter, time_temp, sample_num)
| 48.941176 | 249 | 0.824519 |
656d941b23f4bcfcea63953ee33a50e5ae179565 | 2,035 | py | Python | PyFlow/UI/EncodeResources.py | QuentinTournier40/AnimationFreeCAD | 8eaff8356ec68b948a721b83a6888b652278db8a | [
"Apache-2.0"
] | null | null | null | PyFlow/UI/EncodeResources.py | QuentinTournier40/AnimationFreeCAD | 8eaff8356ec68b948a721b83a6888b652278db8a | [
"Apache-2.0"
] | null | null | null | PyFlow/UI/EncodeResources.py | QuentinTournier40/AnimationFreeCAD | 8eaff8356ec68b948a721b83a6888b652278db8a | [
"Apache-2.0"
] | 1 | 2022-02-03T08:03:30.000Z | 2022-02-03T08:03:30.000Z | # Copyright 2015-2019 Ilgar Lunin, Pedro Cabrera
# 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... | 31.796875 | 83 | 0.634889 |
656dd6e36b81c8ae6c5f6face7c1c54668fb5ff1 | 307 | py | Python | stix_shifter_modules/secretserver/stix_transmission/delete_connector.py | grimmjow8/stix-shifter | 7d252fc241a606f0141ed50d64368d8a5e7e5c5a | [
"Apache-2.0"
] | 129 | 2019-10-09T17:13:03.000Z | 2022-03-03T08:25:46.000Z | stix_shifter_modules/secretserver/stix_transmission/delete_connector.py | grimmjow8/stix-shifter | 7d252fc241a606f0141ed50d64368d8a5e7e5c5a | [
"Apache-2.0"
] | 415 | 2019-10-03T14:29:20.000Z | 2022-03-31T18:23:41.000Z | stix_shifter_modules/secretserver/stix_transmission/delete_connector.py | grimmjow8/stix-shifter | 7d252fc241a606f0141ed50d64368d8a5e7e5c5a | [
"Apache-2.0"
] | 178 | 2019-10-08T22:18:48.000Z | 2022-03-21T11:04:05.000Z | from stix_shifter_utils.modules.base.stix_transmission.base_delete_connector import BaseDeleteConnector
| 30.7 | 103 | 0.781759 |
65710b598ac66d11ae7f738f8a51d26c406a0a31 | 6,525 | py | Python | cron/sync_cs_schedule.py | vovagalchenko/onsite-inflight | 7acd4bc6a12b89ab09b465a81ae495bef35bab0a | [
"MIT"
] | null | null | null | cron/sync_cs_schedule.py | vovagalchenko/onsite-inflight | 7acd4bc6a12b89ab09b465a81ae495bef35bab0a | [
"MIT"
] | 1 | 2016-05-24T00:00:10.000Z | 2016-05-24T00:00:10.000Z | cron/sync_cs_schedule.py | vovagalchenko/onsite-inflight | 7acd4bc6a12b89ab09b465a81ae495bef35bab0a | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import sys
import pprint
from model.cs_rep import CS_Rep
from pytz import timezone, utc
from datetime import datetime, timedelta
from lib.calendar import Google_Calendar, google_ts_to_datetime, DEFAULT_DATE, LOS_ANGELES_TZ
from lib.conf import CFG
from model.db_session import DB_Session_Factory
f... | 50.976563 | 255 | 0.630192 |
6572eb6865b171103c8335e5748af8c03fb39e11 | 5,500 | py | Python | hardware/opentrons_hardware/drivers/can_bus/can_messenger.py | anuwrag/opentrons | 28c8d76a19e367c6bd38f5290faaa32abf378715 | [
"Apache-2.0"
] | null | null | null | hardware/opentrons_hardware/drivers/can_bus/can_messenger.py | anuwrag/opentrons | 28c8d76a19e367c6bd38f5290faaa32abf378715 | [
"Apache-2.0"
] | null | null | null | hardware/opentrons_hardware/drivers/can_bus/can_messenger.py | anuwrag/opentrons | 28c8d76a19e367c6bd38f5290faaa32abf378715 | [
"Apache-2.0"
] | null | null | null | """Can messenger class."""
from __future__ import annotations
import asyncio
from inspect import Traceback
from typing import List, Optional, Callable, Tuple
import logging
from opentrons_hardware.drivers.can_bus.abstract_driver import AbstractCanDriver
from opentrons_hardware.firmware_bindings.arbitration_id import (... | 33.333333 | 131 | 0.623818 |
65745bf4fb319f381c713d4d3577e3e4308c9cad | 3,390 | py | Python | document.py | miguelps/web-document-scanner | e1d61a6cf37a2f79805098bfa22173f4c7aab8d8 | [
"MIT"
] | 23 | 2017-09-28T12:56:38.000Z | 2022-01-06T04:14:55.000Z | document.py | miguelps/web-document-scanner | e1d61a6cf37a2f79805098bfa22173f4c7aab8d8 | [
"MIT"
] | null | null | null | document.py | miguelps/web-document-scanner | e1d61a6cf37a2f79805098bfa22173f4c7aab8d8 | [
"MIT"
] | 17 | 2018-01-12T07:10:37.000Z | 2020-11-14T10:00:59.000Z | import cv2
import rect
import numpy as np
| 37.666667 | 94 | 0.562832 |
657481068e2f17e43b44ef100d1a13a239c78046 | 797 | py | Python | 54.py | geethakamath18/Leetcode | 8e55e0a47ee35ed100b30dda6682c7ce1033d4b2 | [
"MIT"
] | null | null | null | 54.py | geethakamath18/Leetcode | 8e55e0a47ee35ed100b30dda6682c7ce1033d4b2 | [
"MIT"
] | null | null | null | 54.py | geethakamath18/Leetcode | 8e55e0a47ee35ed100b30dda6682c7ce1033d4b2 | [
"MIT"
] | null | null | null | #LeetCode problem 54: Spiral Matrix | 30.653846 | 64 | 0.425345 |
657754f3c56c1f682c95288c291fac1e80bdecd4 | 717 | py | Python | pytype/pyi/parse_pyi.py | CyberFlameGO/pytype | c8cbeea997634455b5abcb27c76c58aa0dfc25ae | [
"Apache-2.0"
] | null | null | null | pytype/pyi/parse_pyi.py | CyberFlameGO/pytype | c8cbeea997634455b5abcb27c76c58aa0dfc25ae | [
"Apache-2.0"
] | null | null | null | pytype/pyi/parse_pyi.py | CyberFlameGO/pytype | c8cbeea997634455b5abcb27c76c58aa0dfc25ae | [
"Apache-2.0"
] | null | null | null | # python3
"""Testing code to run the typed_ast based pyi parser."""
import sys
from pytype import module_utils
from pytype.pyi import parser
from pytype.pyi.types import ParseError # pylint: disable=g-importing-member
from pytype.pytd import pytd_utils
if __name__ == '__main__':
filename = sys.argv[1]
with op... | 21.727273 | 77 | 0.659693 |
6577dab5ac11bbb023397905f08425826f206066 | 176 | py | Python | backend/university/admin.py | andriyandrushko0/univowl | da613316021f7b41b133b5b6e360cc6b9db60504 | [
"MIT"
] | null | null | null | backend/university/admin.py | andriyandrushko0/univowl | da613316021f7b41b133b5b6e360cc6b9db60504 | [
"MIT"
] | null | null | null | backend/university/admin.py | andriyandrushko0/univowl | da613316021f7b41b133b5b6e360cc6b9db60504 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import *
admin.site.register(University)
admin.site.register(Faculty)
admin.site.register(Subject)
admin.site.register(Teacher)
| 19.555556 | 32 | 0.8125 |
65780384622ed08f0a6ec4a97dc9199a0a7d8975 | 1,333 | py | Python | src/train.py | shuvoxcd01/neural_tic_tac_toe | a988230ff3dd0d882ebc0fb19630c9ff22fef629 | [
"Apache-2.0"
] | null | null | null | src/train.py | shuvoxcd01/neural_tic_tac_toe | a988230ff3dd0d882ebc0fb19630c9ff22fef629 | [
"Apache-2.0"
] | null | null | null | src/train.py | shuvoxcd01/neural_tic_tac_toe | a988230ff3dd0d882ebc0fb19630c9ff22fef629 | [
"Apache-2.0"
] | null | null | null | from pettingzoo.classic import tictactoe_v3
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '-1'
import tensorflow as tf
if tf.test.gpu_device_name():
print('GPU found')
else:
print("No GPU found")
from src.q_learning.agent.agent import Agent
from src.q_learning.network.dqn import DQN
from src.q_learning.polici... | 32.512195 | 108 | 0.795199 |
657895d9e23f4c721777cf7c3eb7603b0f1ecfd7 | 199 | py | Python | app/gunicorn_settings.py | jsonbinit/jsonbinit-api | babbf16f1fafe913d9fdb2646cb7a9542ec19355 | [
"MIT"
] | 3 | 2020-06-24T14:55:51.000Z | 2020-06-25T23:12:13.000Z | app/gunicorn_settings.py | jsonbinit/jsonbinit-api | babbf16f1fafe913d9fdb2646cb7a9542ec19355 | [
"MIT"
] | 3 | 2020-04-23T10:39:25.000Z | 2020-06-24T15:22:25.000Z | app/gunicorn_settings.py | jsonbinit/jsonbinit-api | babbf16f1fafe913d9fdb2646cb7a9542ec19355 | [
"MIT"
] | null | null | null | import multiprocessing
import os
bind = "{0}:{1}".format(os.environ.get('HOST', '0.0.0.0'), os.environ.get('PORT', '8080'))
workers = os.environ.get('WORKERS', multiprocessing.cpu_count() * 2 + 1)
| 28.428571 | 90 | 0.668342 |
65795b0076fedc356eabb71c92883de2bfec241d | 261 | py | Python | tests/test_crud/conftest.py | amisadmin/fastapi_amis_admin | 07967a31c46cb6e8e0b4ca703d6d815c2091624a | [
"Apache-2.0"
] | 166 | 2022-02-05T15:52:51.000Z | 2022-03-31T10:57:35.000Z | tests/test_crud/conftest.py | amisadmin/fastapi_amis_admin | 07967a31c46cb6e8e0b4ca703d6d815c2091624a | [
"Apache-2.0"
] | 9 | 2022-02-17T07:32:58.000Z | 2022-03-31T13:46:24.000Z | tests/test_crud/conftest.py | amisadmin/fastapi_amis_admin | 07967a31c46cb6e8e0b4ca703d6d815c2091624a | [
"Apache-2.0"
] | 15 | 2022-02-10T07:24:17.000Z | 2022-03-24T04:08:10.000Z | import pytest
from tests.test_crud.main import app
| 21.75 | 49 | 0.731801 |
657a75ed6a167a9a6dc1817f3c5d4306180485f8 | 794 | py | Python | Ehemalige/models.py | wmles/olymp | 97b1a256982c2a75c39ba3a855b63a147d4409c5 | [
"MIT"
] | null | null | null | Ehemalige/models.py | wmles/olymp | 97b1a256982c2a75c39ba3a855b63a147d4409c5 | [
"MIT"
] | null | null | null | Ehemalige/models.py | wmles/olymp | 97b1a256982c2a75c39ba3a855b63a147d4409c5 | [
"MIT"
] | null | null | null | from django.db import models
""" Konzept:
Man soll sich als Ehemaliger in die DB eintragen knnen (Nutzeraccount
dafr ntig?)
Es gibt ein Textfeld fr den Lebenslauf und die Auswahl des aktuellen Ortes
und der Ttigkeit.
ehem, das kommt mir ziemlich eng vor, so wie die alte Version der olymp-db
"""
from Grundgeruest... | 33.083333 | 76 | 0.760705 |
657b2220279cfe93a6ac57a28426feba8dfe7ccf | 15,921 | py | Python | market_maker/market_maker.py | Quant-Network/sample-market-maker | 4c47b60be66b1aead901400ba5fe96abf5e73c1b | [
"Apache-2.0"
] | null | null | null | market_maker/market_maker.py | Quant-Network/sample-market-maker | 4c47b60be66b1aead901400ba5fe96abf5e73c1b | [
"Apache-2.0"
] | null | null | null | market_maker/market_maker.py | Quant-Network/sample-market-maker | 4c47b60be66b1aead901400ba5fe96abf5e73c1b | [
"Apache-2.0"
] | 1 | 2021-04-27T12:02:41.000Z | 2021-04-27T12:02:41.000Z | from __future__ import absolute_import
from time import sleep
import sys
from datetime import datetime
from os.path import getmtime
import random
import requests
import atexit
import signal
import logging
from market_maker.bitmex import BitMEX
from market_maker.settings import settings
from market_maker.utils import l... | 39.408416 | 139 | 0.606746 |
657cf1129b53d3a0b63a22aabb558fd5bc616640 | 179 | py | Python | pythonfiles/scoring.py | amrut-prabhu/loan-default-prediction | 2e0a91529a71c69e93d7b30decefc59f2627406f | [
"MIT"
] | 2 | 2020-05-06T15:11:56.000Z | 2020-05-24T13:51:55.000Z | pythonfiles/scoring.py | amrut-prabhu/loan-default-prediction | 2e0a91529a71c69e93d7b30decefc59f2627406f | [
"MIT"
] | null | null | null | pythonfiles/scoring.py | amrut-prabhu/loan-default-prediction | 2e0a91529a71c69e93d7b30decefc59f2627406f | [
"MIT"
] | 2 | 2018-09-23T07:09:51.000Z | 2021-12-16T17:58:14.000Z | import numpy as np
| 22.375 | 41 | 0.726257 |
657d1df2ec7237f7821e8629ba8c0b4d674b5456 | 2,406 | py | Python | app/core/tests/test_admin.py | ido777/newish | 298a3d5babf411ba1eb777101eb6e8f70b9e495f | [
"MIT"
] | null | null | null | app/core/tests/test_admin.py | ido777/newish | 298a3d5babf411ba1eb777101eb6e8f70b9e495f | [
"MIT"
] | null | null | null | app/core/tests/test_admin.py | ido777/newish | 298a3d5babf411ba1eb777101eb6e8f70b9e495f | [
"MIT"
] | null | null | null | import pytest
from django.urls import reverse
def test_user_page_change(client, django_user_model):
"""Test that the user edit page works"""
email = 'admin@somewhere.com'
password = 'password123'
admin_user = django_user_model.objects.create_superuser(
email, password)
client.force_login(... | 31.246753 | 102 | 0.676226 |
657f66cb6267b45323c6fdaa161920c2b665fce3 | 24,375 | py | Python | XOconv/pycgtypes/mat4.py | jsburg/xdsme | 3fc9ed185ab78e1a42306edf24e681981eacd221 | [
"BSD-3-Clause"
] | 16 | 2016-05-20T11:19:40.000Z | 2021-01-01T19:44:23.000Z | XOconv/pycgtypes/mat4.py | jsburg/xdsme | 3fc9ed185ab78e1a42306edf24e681981eacd221 | [
"BSD-3-Clause"
] | 11 | 2016-09-09T15:00:15.000Z | 2021-05-07T15:02:10.000Z | XOconv/pycgtypes/mat4.py | jsburg/xdsme | 3fc9ed185ab78e1a42306edf24e681981eacd221 | [
"BSD-3-Clause"
] | 9 | 2016-12-15T16:00:06.000Z | 2021-09-10T08:34:14.000Z | ######################################################################
# mat4 - Matrix class (4x4 matrix)
#
# Copyright (C) 2002, Matthias Baas (baas@ira.uka.de)
#
# You may distribute under the terms of the BSD license, as
# specified in the file license.txt.
####################################################... | 36.057692 | 109 | 0.454974 |
658173776bf6e1aa6395db9260e9462745880428 | 28,191 | py | Python | dataloader/data.py | yuhogun0908/Forward-Convolutive-Prediction | 11dea881b70daf45fa2c39883a601c613e2e53f2 | [
"MIT"
] | 3 | 2022-02-27T12:12:31.000Z | 2022-03-18T07:01:20.000Z | dataloader/data.py | ishine/Forward-Convolutive-Prediction | 11dea881b70daf45fa2c39883a601c613e2e53f2 | [
"MIT"
] | null | null | null | dataloader/data.py | ishine/Forward-Convolutive-Prediction | 11dea881b70daf45fa2c39883a601c613e2e53f2 | [
"MIT"
] | 1 | 2021-12-07T01:18:10.000Z | 2021-12-07T01:18:10.000Z | import numpy as np
import os
import torch
import torch.utils.data as data
import pdb
import pickle
from pathlib import Path
from scipy import signal
import librosa
import scipy
from itertools import permutations
from numpy.linalg import solve
import numpy as np
import soundfile as sf
from convolutive_prediction import ... | 47.943878 | 196 | 0.545564 |
6582ec795f9be718fba1c563c5c66e44261c6ce1 | 3,053 | py | Python | tests/bugs/core_4160_test.py | reevespaul/firebird-qa | 98f16f425aa9ab8ee63b86172f959d63a2d76f21 | [
"MIT"
] | null | null | null | tests/bugs/core_4160_test.py | reevespaul/firebird-qa | 98f16f425aa9ab8ee63b86172f959d63a2d76f21 | [
"MIT"
] | null | null | null | tests/bugs/core_4160_test.py | reevespaul/firebird-qa | 98f16f425aa9ab8ee63b86172f959d63a2d76f21 | [
"MIT"
] | null | null | null | #coding:utf-8
#
# id: bugs.core_4160
# title: Parameterized exception does not accept not ASCII characters as parameter
# decription:
# tracker_id: CORE-4160
# min_versions: ['3.0']
# versions: 3.0
# qmid: None
import pytest
from firebird.qa import db_factory, isql_act, Action
# vers... | 31.802083 | 113 | 0.681625 |
658406b3a8a1489ae1dff93411406c5f22d90b10 | 784 | py | Python | 12_TreeClassification3D/main.py | ManMohan291/PyProgram | edcaa927bd70676bd14355acad7262ae2d32b8e5 | [
"MIT"
] | 2 | 2018-09-07T17:44:54.000Z | 2018-09-07T17:44:57.000Z | 12_TreeClassification3D/main.py | ManMohan291/PyProgram | edcaa927bd70676bd14355acad7262ae2d32b8e5 | [
"MIT"
] | null | null | null | 12_TreeClassification3D/main.py | ManMohan291/PyProgram | edcaa927bd70676bd14355acad7262ae2d32b8e5 | [
"MIT"
] | null | null | null | import TreeClassification as T
T.clearScreen()
dataTraining= T.loadData("dataTraining.txt")
X=dataTraining[:,0:3]
y=dataTraining[:,3:4]
Threshold=30
#Training
TrainedTree = T.SplitTree(X, y,ThresholdCount=Threshold)
newX,newY=T.PredictTree(X,y,TrainedTree)
#CheckAccuracy
Xy=T.concatenateVectors(X,y) ... | 20.631579 | 110 | 0.732143 |
6584791fe17e82f5787899fa97ce0db3fa35bfb0 | 1,535 | py | Python | uhelpers/tests/test_archive_helpers.py | Johannes-Sahlmann/uhelpers | 58f8e25ef8644ab5b24a5be76fd58a338a400912 | [
"BSD-3-Clause"
] | null | null | null | uhelpers/tests/test_archive_helpers.py | Johannes-Sahlmann/uhelpers | 58f8e25ef8644ab5b24a5be76fd58a338a400912 | [
"BSD-3-Clause"
] | 2 | 2020-12-21T18:08:48.000Z | 2021-01-26T01:24:39.000Z | uhelpers/tests/test_archive_helpers.py | Johannes-Sahlmann/uhelpers | 58f8e25ef8644ab5b24a5be76fd58a338a400912 | [
"BSD-3-Clause"
] | 5 | 2019-10-02T14:16:15.000Z | 2021-12-27T18:46:18.000Z | #!/usr/bin/env python
"""Tests for the jwcf hawki module.
Authors
-------
Johannes Sahlmann
"""
import netrc
import os
from astropy.table import Table
import pytest
from ..archive_helpers import get_exoplanet_orbit_database, gacs_list_query
local_dir = os.path.dirname(os.path.abspath(__file__))
ON_TRAVIS = os... | 29.519231 | 104 | 0.70684 |
6584f2d684176e56a028fa83fba17e1495411607 | 1,264 | py | Python | TP3/test.py | paul-arthurthiery/IAMethodesAlgos | f49fe17c278424588df263ab0e6778721cbc4394 | [
"MIT"
] | null | null | null | TP3/test.py | paul-arthurthiery/IAMethodesAlgos | f49fe17c278424588df263ab0e6778721cbc4394 | [
"MIT"
] | null | null | null | TP3/test.py | paul-arthurthiery/IAMethodesAlgos | f49fe17c278424588df263ab0e6778721cbc4394 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Dec 2 14:33:13 2018
@author: Nathan
"""
import numpy as np
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
# load dataset
data,target =load_iris().data,load_... | 26.333333 | 99 | 0.77769 |
65850e2ff2df32252ae9c695f9a58c5a8d385efe | 1,013 | py | Python | HUGGINGFACE.py | mkingopng/NBME_score_clinical_patient_notes | 4ca9816be2665d7585ab0d168376a340aa800088 | [
"MIT"
] | 1 | 2022-03-27T12:47:25.000Z | 2022-03-27T12:47:25.000Z | HUGGINGFACE.py | mkingopng/NBME_score_clinical_patient_notes | 4ca9816be2665d7585ab0d168376a340aa800088 | [
"MIT"
] | null | null | null | HUGGINGFACE.py | mkingopng/NBME_score_clinical_patient_notes | 4ca9816be2665d7585ab0d168376a340aa800088 | [
"MIT"
] | null | null | null | import os
TRANSFORMERS = '/home/noone/documents/github/transformers'
TOKENIZERS = '/home/noone/documents/github/tokenizers'
DATASETS = '/home/noone/documents/github/datasets'
MODELS = os.path.join(TRANSFORMERS, 'src/transformers/models')
DEBERTA_V2 = os.path.join(MODELS, 'deberta_v2')
DEBERTA_V3 = os.path.join(MO... | 22.021739 | 64 | 0.699901 |
65852219b6e7161ca8a0d874955000bd7586ea4b | 830 | py | Python | Curso_em_Video_Exercicios/ex068.py | Cohuzer/Exercicios-do-Curso-em-Video | 879cbb53c54ba226e12d9972bc28eadcd521fc10 | [
"MIT"
] | null | null | null | Curso_em_Video_Exercicios/ex068.py | Cohuzer/Exercicios-do-Curso-em-Video | 879cbb53c54ba226e12d9972bc28eadcd521fc10 | [
"MIT"
] | null | null | null | Curso_em_Video_Exercicios/ex068.py | Cohuzer/Exercicios-do-Curso-em-Video | 879cbb53c54ba226e12d9972bc28eadcd521fc10 | [
"MIT"
] | null | null | null | #Par ou Impar- para qnd o jogador perder e mostra o tanto de vitoria consecutivas
from random import randint
c = 0
while True:
print('\033[1;33m-' * 30)
n = int(input('ESCOLHA UM NMERO: '))
e = str(input('PAR OU IMPAR? ')).strip().upper()[0]
print('-' * 30)
j = randint(0, 10)
if e == 'P':
... | 33.2 | 96 | 0.503614 |
65870cdea10ace0d94e2b600195f694036787b41 | 1,727 | py | Python | tests/test_write.py | AlexsanderShaw/libdesock | 5945a5ab0f002078fc6eaaf7e20e2b7b66c67086 | [
"MIT"
] | 88 | 2022-02-26T20:59:53.000Z | 2022-03-21T21:29:09.000Z | tests/test_write.py | fkie-cad/libdesock | 3d20862e9cfd18e20bdeb599ab2f39e20e94373c | [
"MIT"
] | null | null | null | tests/test_write.py | fkie-cad/libdesock | 3d20862e9cfd18e20bdeb599ab2f39e20e94373c | [
"MIT"
] | 7 | 2022-02-27T01:42:00.000Z | 2022-03-07T03:06:32.000Z | """
This file tests that sendmmsg works correctly.
Target files:
- libdesock/src/write.c
"""
import ctypes
import desock
import helper
data = bytes(range(65, 115))
cursor = 0
| 27.854839 | 112 | 0.643891 |
6587d36784219790a446003c11e770c4bed4d07f | 8,409 | py | Python | ratin_cpython/common/common.py | openearth/eo-rivers | 752f90aed92fa862a2c107bb58bcae298c1bf313 | [
"MIT"
] | 2 | 2018-10-19T03:20:08.000Z | 2020-05-06T22:56:20.000Z | ratin_cpython/common/common.py | openearth/eo-river | 752f90aed92fa862a2c107bb58bcae298c1bf313 | [
"MIT"
] | 11 | 2018-06-05T09:41:15.000Z | 2021-11-15T17:47:27.000Z | ratin_cpython/common/common.py | openearth/eo-rivers | 752f90aed92fa862a2c107bb58bcae298c1bf313 | [
"MIT"
] | 2 | 2020-10-15T12:29:36.000Z | 2021-12-13T22:53:58.000Z | import numpy as np
from math import factorial
import scipy.signal
#Gaussian filter with convolution - faster and easier to handle
## Degree is equal to the number of values left and right of the central value
## of the gaussian window:
## ie degree=3 yields a window of length 7
## It uses normalized weights (sum of ... | 35.331933 | 97 | 0.631704 |
658815cb00ae7e0794df13b589c297b74cf7ffbd | 3,879 | py | Python | discordbot/stocks/technical_analysis/rsi.py | Aerex/GamestonkTerminal | 680e0cd278f0d8e45031cdc9d51f247e9aa90ce1 | [
"MIT"
] | 3 | 2021-02-28T09:54:47.000Z | 2021-03-11T17:42:35.000Z | discordbot/stocks/technical_analysis/rsi.py | Aerex/GamestonkTerminal | 680e0cd278f0d8e45031cdc9d51f247e9aa90ce1 | [
"MIT"
] | 3 | 2022-02-28T03:37:52.000Z | 2022-02-28T03:37:53.000Z | discordbot/stocks/technical_analysis/rsi.py | Aerex/GamestonkTerminal | 680e0cd278f0d8e45031cdc9d51f247e9aa90ce1 | [
"MIT"
] | 1 | 2021-11-20T16:09:48.000Z | 2021-11-20T16:09:48.000Z | import os
from datetime import datetime, timedelta
import discord
from matplotlib import pyplot as plt
import discordbot.config_discordbot as cfg
from discordbot.run_discordbot import gst_imgur
import discordbot.helpers
from gamestonk_terminal.helper_funcs import plot_autoscale
from gamestonk_terminal.common.technica... | 34.026316 | 85 | 0.60299 |
65894aac96ac4562697b30a8369779ac8960ace4 | 5,011 | py | Python | train.py | xushenkun/vae | 35e136257e5a3122b92dff9961dd08585b7cce2d | [
"MIT"
] | 1 | 2020-09-19T00:03:59.000Z | 2020-09-19T00:03:59.000Z | train.py | xushenkun/vae | 35e136257e5a3122b92dff9961dd08585b7cce2d | [
"MIT"
] | null | null | null | train.py | xushenkun/vae | 35e136257e5a3122b92dff9961dd08585b7cce2d | [
"MIT"
] | null | null | null | import argparse
import os
import shutil
import numpy as np
import torch as t
from torch.optim import Adam
from utils.batch_loader import BatchLoader
from utils.parameters import Parameters
from model.rvae_dilated import RVAE_dilated
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='RV... | 43.95614 | 136 | 0.631411 |
658c87d29e07d35154d2bbcefbc473d8ad660860 | 1,152 | py | Python | renovation_core_graphql/auth/otp.py | e-lobo/renovation_core_graphql | 31e464e00badc308bf03c70364331b08ad9d1b1d | [
"MIT"
] | 1 | 2021-12-15T06:05:06.000Z | 2021-12-15T06:05:06.000Z | renovation_core_graphql/auth/otp.py | e-lobo/renovation_core_graphql | 31e464e00badc308bf03c70364331b08ad9d1b1d | [
"MIT"
] | 5 | 2021-06-09T19:00:56.000Z | 2022-01-23T09:51:13.000Z | renovation_core_graphql/auth/otp.py | e-lobo/renovation_core_graphql | 31e464e00badc308bf03c70364331b08ad9d1b1d | [
"MIT"
] | 1 | 2021-06-01T05:22:41.000Z | 2021-06-01T05:22:41.000Z | from graphql import GraphQLResolveInfo
import frappe
from renovation_core.utils.auth import generate_otp, verify_otp
VERIFY_OTP_STATUS_MAP = {
"no_linked_user": "NO_LINKED_USER",
"no_otp_for_mobile": "NO_OTP_GENERATED",
"invalid_otp": "INVALID_OTP",
"verified": "VERIFIED",
}
| 29.538462 | 84 | 0.703993 |
658d5e23890b80d2c423a20bb23bdcaa811dcbe7 | 6,050 | py | Python | solaris/utils/core.py | mananeau/solaris | ca000e8a255bd792ff3f192a6350ff8cace3d050 | [
"Apache-2.0"
] | null | null | null | solaris/utils/core.py | mananeau/solaris | ca000e8a255bd792ff3f192a6350ff8cace3d050 | [
"Apache-2.0"
] | null | null | null | solaris/utils/core.py | mananeau/solaris | ca000e8a255bd792ff3f192a6350ff8cace3d050 | [
"Apache-2.0"
] | null | null | null | import os
import numpy as np
from shapely.wkt import loads
from shapely.geometry import Point
from shapely.geometry.base import BaseGeometry
import pandas as pd
import geopandas as gpd
import rasterio
import skimage
from fiona._err import CPLE_OpenFailedError
from fiona.errors import DriverError
from warnings import wa... | 35.798817 | 79 | 0.624793 |
658e190370f91502c18753af3de961237b0e0150 | 129 | py | Python | model/__init__.py | Pearl-UTexas/DUST-net | debea05a04e9340109176c7803909b50f84892ba | [
"MIT"
] | null | null | null | model/__init__.py | Pearl-UTexas/DUST-net | debea05a04e9340109176c7803909b50f84892ba | [
"MIT"
] | null | null | null | model/__init__.py | Pearl-UTexas/DUST-net | debea05a04e9340109176c7803909b50f84892ba | [
"MIT"
] | null | null | null | from .von_mises_stiefel import *
from .von_mises_fisher import *
from .model import *
from .metrics import *
from .loss import *
| 21.5 | 32 | 0.767442 |
658e27d4f55208e3b1fbe0a8174313df62d9c767 | 980 | py | Python | blog_app/templatetags/blog_app_tags.py | axkiss/FirstBlog | dc4444c70c58647abf733f06bab963eadced646d | [
"Unlicense"
] | null | null | null | blog_app/templatetags/blog_app_tags.py | axkiss/FirstBlog | dc4444c70c58647abf733f06bab963eadced646d | [
"Unlicense"
] | null | null | null | blog_app/templatetags/blog_app_tags.py | axkiss/FirstBlog | dc4444c70c58647abf733f06bab963eadced646d | [
"Unlicense"
] | null | null | null | from django import template
from blog_app.models import Post
from django.utils import timezone
register = template.Library()
| 32.666667 | 82 | 0.720408 |
658e58ab530a47e10043fd6372afe98be7d02d5f | 3,941 | py | Python | flow/core/azure_blob_filesystem.py | hwknsj/synergy_flow | aba8f57b2cbeeb0368a64eaa7e5369fcef0a3136 | [
"BSD-3-Clause"
] | null | null | null | flow/core/azure_blob_filesystem.py | hwknsj/synergy_flow | aba8f57b2cbeeb0368a64eaa7e5369fcef0a3136 | [
"BSD-3-Clause"
] | 1 | 2016-10-03T18:48:15.000Z | 2019-11-01T21:53:30.000Z | flow/core/azure_blob_filesystem.py | hwknsj/synergy_flow | aba8f57b2cbeeb0368a64eaa7e5369fcef0a3136 | [
"BSD-3-Clause"
] | 1 | 2019-11-02T00:45:26.000Z | 2019-11-02T00:45:26.000Z | __author__ = 'Bohdan Mushkevych'
from os import path
from azure.storage.blob import BlockBlobService
from flow.core.abstract_filesystem import AbstractFilesystem, splitpath
| 49.886076 | 148 | 0.713524 |
658f10b8ae6eef666116cd8610e4111c0de53318 | 1,085 | py | Python | asyncworker/types/registry.py | etandel/async-worker | 3cd68e3e4dc3a32d35a4fa67bfd26cf2cfb7e01a | [
"MIT"
] | null | null | null | asyncworker/types/registry.py | etandel/async-worker | 3cd68e3e4dc3a32d35a4fa67bfd26cf2cfb7e01a | [
"MIT"
] | null | null | null | asyncworker/types/registry.py | etandel/async-worker | 3cd68e3e4dc3a32d35a4fa67bfd26cf2cfb7e01a | [
"MIT"
] | null | null | null | from typing import Type, Any, Dict, Optional
| 27.820513 | 80 | 0.564055 |
6590118b6d44f92c7d79cfaff34140de85d60254 | 591 | py | Python | kpe/BertKPE/MyCode/functions/filer/filesaver.py | thunlp/COVID19IRQA | fe359ce12ce38fd74ccc004cc524ec6011580023 | [
"MIT"
] | 32 | 2020-03-26T17:03:54.000Z | 2021-09-10T08:30:48.000Z | kpe/BertKPE/MyCode/functions/filer/filesaver.py | thunlp/COVID19IRQA | fe359ce12ce38fd74ccc004cc524ec6011580023 | [
"MIT"
] | 1 | 2020-04-06T16:35:12.000Z | 2020-04-13T07:08:14.000Z | kpe/BertKPE/MyCode/functions/filer/filesaver.py | thunlp/COVID19IRQA | fe359ce12ce38fd74ccc004cc524ec6011580023 | [
"MIT"
] | 6 | 2020-03-28T05:07:22.000Z | 2021-03-04T01:46:00.000Z | from tqdm import tqdm
import json
import os
| 25.695652 | 53 | 0.620981 |
6590b1b797014d04b65cb873f63aee28028c3c0f | 6,563 | py | Python | tests/conftest.py | HenryTraill/morpheus | 6bc095a7734f5f4a48d8556006266bf60ecdba68 | [
"MIT"
] | null | null | null | tests/conftest.py | HenryTraill/morpheus | 6bc095a7734f5f4a48d8556006266bf60ecdba68 | [
"MIT"
] | null | null | null | tests/conftest.py | HenryTraill/morpheus | 6bc095a7734f5f4a48d8556006266bf60ecdba68 | [
"MIT"
] | null | null | null | import asyncio
import pytest
import re
import uuid
from aiohttp.test_utils import teardown_test_loop
from aioredis import create_redis
from arq import ArqRedis, Worker
from atoolbox.db import prepare_database
from atoolbox.db.helpers import DummyPgPool
from atoolbox.test_utils import DummyServer, create_dummy_server
fr... | 32.979899 | 118 | 0.666464 |
65914d3047a8283780b6e3edcde39dc7eb8ebb8b | 477 | py | Python | gratify_proj/gratify_proj/urls.py | ConnorH2582/grat_proj | f59b4a30ef0bef48b81fb75ade92af615b1e3e77 | [
"MIT"
] | null | null | null | gratify_proj/gratify_proj/urls.py | ConnorH2582/grat_proj | f59b4a30ef0bef48b81fb75ade92af615b1e3e77 | [
"MIT"
] | null | null | null | gratify_proj/gratify_proj/urls.py | ConnorH2582/grat_proj | f59b4a30ef0bef48b81fb75ade92af615b1e3e77 | [
"MIT"
] | null | null | null | from django.conf.urls import include, url
from django.contrib import admin
from django.views.generic import View
urlpatterns = [
url(r'^client/', include('client.urls', namespace = 'client', app_name = 'client')),
url(r'^app/', include('app.urls', namespace = 'app', app_name = 'app')),
url('', include('django.... | 31.8 | 85 | 0.685535 |
659182ecb712f24f0371757649f6618c51a53b68 | 193 | py | Python | Server/prediction/admin.py | mohanj098/Item-Price-Forecasting | 14fc787ad4d9dcc6af03b43fa5e866cd254a99f5 | [
"MIT"
] | null | null | null | Server/prediction/admin.py | mohanj098/Item-Price-Forecasting | 14fc787ad4d9dcc6af03b43fa5e866cd254a99f5 | [
"MIT"
] | 2 | 2021-03-15T15:53:22.000Z | 2021-05-03T09:32:34.000Z | Server/prediction/admin.py | mohanj098/Item-Price-Forecasting | 14fc787ad4d9dcc6af03b43fa5e866cd254a99f5 | [
"MIT"
] | 1 | 2021-05-04T15:35:06.000Z | 2021-05-04T15:35:06.000Z | from django.contrib import admin
from prediction.models import product
from prediction.models import price
# Register your models here.
admin.site.register(product)
admin.site.register(price)
| 24.125 | 37 | 0.829016 |
65923c69268087aca7de1d2a3dc4a13663164289 | 5,813 | py | Python | imutils/big/make_shards.py | JacobARose/image-utils | aa0e005c0b4df5198d188b074f4e21f8d8f97962 | [
"MIT"
] | null | null | null | imutils/big/make_shards.py | JacobARose/image-utils | aa0e005c0b4df5198d188b074f4e21f8d8f97962 | [
"MIT"
] | null | null | null | imutils/big/make_shards.py | JacobARose/image-utils | aa0e005c0b4df5198d188b074f4e21f8d8f97962 | [
"MIT"
] | null | null | null | """
imutils/big/make_shards.py
Generate one or more webdataset-compatible tar archive shards from an image classification dataset.
Based on script: https://github.com/tmbdev-archive/webdataset-examples/blob/7f56e9a8b978254c06aa0a98572a1331968b0eb3/makeshards.py
Added on: Sunday March 6th, 2022
Example usage:
pytho... | 31.085561 | 188 | 0.732152 |
65941982873c5bf22451352b6be11931a96f85a2 | 2,917 | py | Python | wetterdienst/util/network.py | meteoDaniel/wetterdienst | 106a2fa9f887983281a6886c15bb3a845850dfb7 | [
"MIT"
] | null | null | null | wetterdienst/util/network.py | meteoDaniel/wetterdienst | 106a2fa9f887983281a6886c15bb3a845850dfb7 | [
"MIT"
] | null | null | null | wetterdienst/util/network.py | meteoDaniel/wetterdienst | 106a2fa9f887983281a6886c15bb3a845850dfb7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2018-2021, earthobservations developers.
# Distributed under the MIT License. See LICENSE for more info.
import os
from io import BytesIO
from typing import List, Optional, Union
from fsspec.implementations.cached import WholeFileCacheFileSystem
from fsspec.implementations.http ... | 31.365591 | 101 | 0.680151 |
65941fce079e2342f67bde15c5c07c193940a076 | 2,927 | pyde | Python | mode/examples/Topics/Motion/Reflection1/Reflection1.pyde | kazimuth/processing.py | 9aa1ddf7ebd4efed73a8c2a1ecf6d2c167b1faf1 | [
"Apache-2.0"
] | 4 | 2016-08-09T14:14:36.000Z | 2021-12-10T07:51:35.000Z | mode/examples/Topics/Motion/Reflection1/Reflection1.pyde | kazimuth/processing.py | 9aa1ddf7ebd4efed73a8c2a1ecf6d2c167b1faf1 | [
"Apache-2.0"
] | null | null | null | mode/examples/Topics/Motion/Reflection1/Reflection1.pyde | kazimuth/processing.py | 9aa1ddf7ebd4efed73a8c2a1ecf6d2c167b1faf1 | [
"Apache-2.0"
] | null | null | null | """
Non-orthogonal Reflection
by Ira Greenberg.
Based on the equation (R = 2N(N * L) - L) where R is the reflection vector, N
is the normal, and L is the incident vector.
"""
# Position of left hand side of floor.
base1 = None
# Position of right hand side of floor.
base2 = None
# A list of subpoints along the floo... | 25.232759 | 77 | 0.598223 |
6594ce65379700398a3a74c57669881f0dce9a22 | 1,182 | py | Python | linear.py | AliRzvn/HW1 | d6420c1656800372aae78e18327612df540b674e | [
"MIT"
] | null | null | null | linear.py | AliRzvn/HW1 | d6420c1656800372aae78e18327612df540b674e | [
"MIT"
] | null | null | null | linear.py | AliRzvn/HW1 | d6420c1656800372aae78e18327612df540b674e | [
"MIT"
] | null | null | null | import numpy as np
from module import Module
| 31.945946 | 80 | 0.600677 |
65958e7861004b1f3934ff47c4a5e6dfe2a86170 | 239 | py | Python | iot/common_functions/all_imports.py | sankaet/IOT-DB | a554f49b9c25ae1a9a91b6a2564489b999da03bd | [
"MIT"
] | 1 | 2016-10-26T23:10:57.000Z | 2016-10-26T23:10:57.000Z | iot/common_functions/all_imports.py | sankaet/IOT-DB | a554f49b9c25ae1a9a91b6a2564489b999da03bd | [
"MIT"
] | null | null | null | iot/common_functions/all_imports.py | sankaet/IOT-DB | a554f49b9c25ae1a9a91b6a2564489b999da03bd | [
"MIT"
] | null | null | null | from pymongo import MongoClient
from bson import ObjectId
from bson.json_util import dumps
from json import loads
client = MongoClient('localhost', 27017)
IOT_DB = client.iot_db
IOT_SCHEMAS = IOT_DB.iot_schemas
IOT_DATA = IOT_DB.iot_data | 23.9 | 40 | 0.820084 |
6598ac2ebf4cb397f3e2b86a4a598e93fd0dbafd | 659 | py | Python | pages/login_page.py | 0verchenko/PageObject | b50ec33b6f511680e5be14b16c379df825b87285 | [
"Apache-2.0"
] | null | null | null | pages/login_page.py | 0verchenko/PageObject | b50ec33b6f511680e5be14b16c379df825b87285 | [
"Apache-2.0"
] | 1 | 2021-06-02T00:14:07.000Z | 2021-06-02T00:14:07.000Z | pages/login_page.py | 0verchenko/PageObject | b50ec33b6f511680e5be14b16c379df825b87285 | [
"Apache-2.0"
] | null | null | null | from .base_page import BasePage
from .locators import LoginPageLocators
| 29.954545 | 83 | 0.740516 |
65990aa07c9374074643ecde94fe1aa073f34786 | 4,310 | py | Python | tests/test_schema.py | LeafyLappa/starlette-jsonapi | 1cd7268fe78983c0203e4f65549f974d3f5d968f | [
"MIT"
] | 16 | 2020-07-05T18:12:41.000Z | 2022-03-11T21:12:17.000Z | tests/test_schema.py | LeafyLappa/starlette-jsonapi | 1cd7268fe78983c0203e4f65549f974d3f5d968f | [
"MIT"
] | 25 | 2020-07-04T17:06:40.000Z | 2021-08-18T09:24:30.000Z | tests/test_schema.py | LeafyLappa/starlette-jsonapi | 1cd7268fe78983c0203e4f65549f974d3f5d968f | [
"MIT"
] | 3 | 2020-07-10T14:17:44.000Z | 2021-08-12T11:43:45.000Z | import pytest
from marshmallow_jsonapi import fields
from starlette.applications import Starlette
from starlette_jsonapi.resource import BaseResource
from starlette_jsonapi.schema import JSONAPISchema
| 30.567376 | 120 | 0.542691 |
659af9491af7136fafb0016f0624386d06bcfa4b | 3,280 | py | Python | demo/demo/settings.py | ikcam/django-boilerplate | d8253665d74f0f18cf9a5fd46772598a60f20c5c | [
"Apache-2.0"
] | 5 | 2016-10-02T04:57:10.000Z | 2019-08-12T22:22:39.000Z | demo/demo/settings.py | ikcam/django-boilerplate | d8253665d74f0f18cf9a5fd46772598a60f20c5c | [
"Apache-2.0"
] | null | null | null | demo/demo/settings.py | ikcam/django-boilerplate | d8253665d74f0f18cf9a5fd46772598a60f20c5c | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Django settings for demo project.
For more information on this file, see
https://docs.djangoproject.com/en/1.9/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.9/ref/settings/
"""
# Build paths inside the project like this: os.path.j... | 24.661654 | 71 | 0.690549 |