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9e1bab75b880400d031efdd9610cb8ab7d1f53a8 | 821 | py | Python | src/provisioning/factories.py | litedesk/litedesk-webserver-provision | 1576b9d3e5e2e64d1136d276767c2710cfb1938f | [
"Apache-2.0"
] | 1 | 2016-01-18T08:19:22.000Z | 2016-01-18T08:19:22.000Z | src/provisioning/factories.py | litedesk/litedesk-webserver-provision | 1576b9d3e5e2e64d1136d276767c2710cfb1938f | [
"Apache-2.0"
] | null | null | null | src/provisioning/factories.py | litedesk/litedesk-webserver-provision | 1576b9d3e5e2e64d1136d276767c2710cfb1938f | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2014, Deutsche Telekom AG - Laboratories (T-Labs)
#
# 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/lice... | 31.576923 | 74 | 0.742996 |
9e1bb2bcdf7f5989f574a141815fc715e1623995 | 6,337 | py | Python | utils/evaluator.py | kaist-dmlab/Time-CAD | efb97db45b31161d85acf4cdca531a416cea260b | [
"Apache-2.0"
] | null | null | null | utils/evaluator.py | kaist-dmlab/Time-CAD | efb97db45b31161d85acf4cdca531a416cea260b | [
"Apache-2.0"
] | null | null | null | utils/evaluator.py | kaist-dmlab/Time-CAD | efb97db45b31161d85acf4cdca531a416cea260b | [
"Apache-2.0"
] | 1 | 2022-01-13T07:57:04.000Z | 2022-01-13T07:57:04.000Z | import numpy as np
from sklearn.metrics import auc
def _enumerate_thresholds(rec_errors, n=1000):
# maximum value of the anomaly score for all time steps in the validation data
thresholds, step_size = [], abs(np.max(rec_errors) - np.min(rec_errors)) / n
th = np.min(rec_errors)
thresholds.append(th)
... | 41.418301 | 119 | 0.594288 |
9e1bed677eb9899f5f5c8a6f5509c5bc731f5fd7 | 23,047 | py | Python | examples/inceptionv3/inception.py | NervanaSystems/ngraph-python | ac032c83c7152b615a9ad129d54d350f9d6a2986 | [
"Apache-2.0"
] | 18 | 2018-03-19T04:16:49.000Z | 2021-02-08T14:44:58.000Z | examples/inceptionv3/inception.py | rsumner31/ngraph | 5e5c9bb9f24d95aee190b914dd2d44122fc3be53 | [
"Apache-2.0"
] | 2 | 2019-04-16T06:41:49.000Z | 2019-05-06T14:08:13.000Z | examples/inceptionv3/inception.py | rsumner31/ngraph | 5e5c9bb9f24d95aee190b914dd2d44122fc3be53 | [
"Apache-2.0"
] | 11 | 2018-06-16T15:59:08.000Z | 2021-03-06T00:45:30.000Z | #!/usr/bin/env python
# ******************************************************************************
# Copyright 2014-2018 Intel Corporation
#
# 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
... | 56.626536 | 98 | 0.426954 |
9e1c06b9da426ddecea152090798794dea281b41 | 3,267 | py | Python | nodebook/ipython/nodebookext.py | lunaticare/nodebook | 4439d857c9c4af79f1963b4065cc7d38e54ed392 | [
"Apache-2.0"
] | 264 | 2017-07-27T20:50:51.000Z | 2021-12-24T04:38:45.000Z | nodebook/ipython/nodebookext.py | lunaticare/nodebook | 4439d857c9c4af79f1963b4065cc7d38e54ed392 | [
"Apache-2.0"
] | 15 | 2017-08-16T18:18:24.000Z | 2021-11-07T22:40:55.000Z | nodebook/ipython/nodebookext.py | lunaticare/nodebook | 4439d857c9c4af79f1963b4065cc7d38e54ed392 | [
"Apache-2.0"
] | 22 | 2017-09-15T01:53:05.000Z | 2022-02-04T06:56:21.000Z | from __future__ import absolute_import
import six.moves.cPickle as pickle
import os
import sys
import errno
from nodebook.nodebookcore import Node, Nodebook, ReferenceFinder
from nodebook.pickledict import PickleDict
NODEBOOK_STATE = {
"cache_dir": None,
"nodebook": None,
}
MODE_DISK = "disk"
MODE_MEMORY = "... | 32.346535 | 115 | 0.673707 |
9e1c3ca55f50b1da2518ff090b1eb739fe4155e5 | 10,272 | py | Python | harmonicmodel/secundal_chord_template.py | dpazel/music_rep | 2f9de9b98b13df98f1a0a2120b84714725ce527e | [
"MIT"
] | 1 | 2021-05-06T19:45:54.000Z | 2021-05-06T19:45:54.000Z | harmonicmodel/secundal_chord_template.py | dpazel/music_rep | 2f9de9b98b13df98f1a0a2120b84714725ce527e | [
"MIT"
] | null | null | null | harmonicmodel/secundal_chord_template.py | dpazel/music_rep | 2f9de9b98b13df98f1a0a2120b84714725ce527e | [
"MIT"
] | null | null | null | """
File: secundal_chord_template.py
Purpose: Class that defines a secundal chord in all its variations.
"""
from harmonicmodel.chord_template import ChordTemplate
from tonalmodel.diatonic_tone import DiatonicTone
from tonalmodel.interval import Interval, IntervalType
from harmonicmodel.secundal_chord import Secunda... | 39.813953 | 121 | 0.607574 |
9e1c43d79230870ba9e2ae514ac7437229761527 | 4,451 | py | Python | code/homophones.py | seanyeh/talon_configs | 142e402bb18f532d6f65c622174a6bbbf99aad91 | [
"Unlicense"
] | 1 | 2021-03-20T14:47:01.000Z | 2021-03-20T14:47:01.000Z | code/homophones.py | seanyeh/talon_configs | 142e402bb18f532d6f65c622174a6bbbf99aad91 | [
"Unlicense"
] | null | null | null | code/homophones.py | seanyeh/talon_configs | 142e402bb18f532d6f65c622174a6bbbf99aad91 | [
"Unlicense"
] | null | null | null | from talon import Context, Module, app, clip, cron, imgui, actions, ui, fs
import os
########################################################################
# global settings
########################################################################
# a list of homophones where each line is a comma separated list
# e.... | 26.337278 | 79 | 0.606156 |
9e1c54888fcdc95a6d79def2b17b522e5fa058da | 873 | py | Python | app/core/admin.py | konkrer/recipe-app-api | 7ccfd8683b4fae8fe0ef410684dc84e8bb96989b | [
"MIT"
] | 1 | 2019-06-01T10:14:02.000Z | 2019-06-01T10:14:02.000Z | app/core/admin.py | konkrer/recipe-app-api | 7ccfd8683b4fae8fe0ef410684dc84e8bb96989b | [
"MIT"
] | null | null | null | app/core/admin.py | konkrer/recipe-app-api | 7ccfd8683b4fae8fe0ef410684dc84e8bb96989b | [
"MIT"
] | null | null | null | from django.contrib import admin
from django.contrib.auth.admin import UserAdmin as BaseUserAdmin
from django.utils.translation import gettext as _
from core import models
class UserAdmin(BaseUserAdmin):
ordering = ['id']
list_display = ['email', 'name']
fieldsets = (
(None, {'fields': ('email', ... | 27.28125 | 65 | 0.594502 |
9e1c7ac1697ddd339772aa517f31f3440bd014c2 | 4,542 | py | Python | test/core/test_component.py | lovvge/gluon-ts | 284376138f41968bec0a4cb05b274c8ee259493a | [
"Apache-2.0"
] | 2 | 2019-09-05T05:39:03.000Z | 2020-11-08T17:07:04.000Z | test/core/test_component.py | lovvge/gluon-ts | 284376138f41968bec0a4cb05b274c8ee259493a | [
"Apache-2.0"
] | null | null | null | test/core/test_component.py | lovvge/gluon-ts | 284376138f41968bec0a4cb05b274c8ee259493a | [
"Apache-2.0"
] | null | null | null | # Standard library imports
import random
from textwrap import dedent
from typing import Dict, List
# First-party imports
from gluonts.core.component import validated
from gluonts.core.serde import dump_code, dump_json, load_code, load_json
class Complex:
@validated()
def __init__(self, x: float, y: float) ->... | 25.374302 | 76 | 0.568912 |
9e1ca441932450aef4a5a3f7b9da564347352a1a | 2,007 | py | Python | qnarre.old/feeds/prep/records.py | quantapix/qnarre.com | f51d5945c20ef8182c4aa11f1b407d064c190c70 | [
"MIT"
] | null | null | null | qnarre.old/feeds/prep/records.py | quantapix/qnarre.com | f51d5945c20ef8182c4aa11f1b407d064c190c70 | [
"MIT"
] | null | null | null | qnarre.old/feeds/prep/records.py | quantapix/qnarre.com | f51d5945c20ef8182c4aa11f1b407d064c190c70 | [
"MIT"
] | null | null | null | # Copyright 2019 Quantapix 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 applicable l... | 26.407895 | 79 | 0.670653 |
9e1ccdb2b8dcb6ebb9817ff9bcda95e0ccfb4501 | 9,081 | py | Python | releasenotes/source/conf.py | ISCAS-VDI/gnocchi-base | c5ed96a6fb8d925702f410c1382eb36bd991443b | [
"Apache-2.0"
] | null | null | null | releasenotes/source/conf.py | ISCAS-VDI/gnocchi-base | c5ed96a6fb8d925702f410c1382eb36bd991443b | [
"Apache-2.0"
] | null | null | null | releasenotes/source/conf.py | ISCAS-VDI/gnocchi-base | c5ed96a6fb8d925702f410c1382eb36bd991443b | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software... | 33.021818 | 79 | 0.718313 |
9e1cd10788e9cf9411f4a0a75d0715fc7914b2bf | 57,609 | py | Python | sdk/datafactory/azure-mgmt-datafactory/azure/mgmt/datafactory/operations/_triggers_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-02-01T18:50:12.000Z | 2022-02-01T18:50:12.000Z | sdk/datafactory/azure-mgmt-datafactory/azure/mgmt/datafactory/operations/_triggers_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/datafactory/azure-mgmt-datafactory/azure/mgmt/datafactory/operations/_triggers_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | # pylint: disable=too-many-lines
# 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) AutoRe... | 43.544218 | 246 | 0.665087 |
9e1ce91bd644b786a049dd7deaa1677ce906b4f3 | 1,197 | py | Python | annomathtex/annomathtex/parsing/html_parser.py | philsMINT/AnnotaTeX | cf893ccf31bd8ee78e15c4dd7a21d05c8c0663a7 | [
"Apache-2.0"
] | 3 | 2021-04-14T13:31:12.000Z | 2022-02-13T00:33:37.000Z | annomathtex/annomathtex/parsing/html_parser.py | philsMINT/AnnotaTeX | cf893ccf31bd8ee78e15c4dd7a21d05c8c0663a7 | [
"Apache-2.0"
] | 10 | 2019-07-26T08:10:07.000Z | 2021-06-10T17:53:43.000Z | annomathtex/annomathtex/parsing/html_parser.py | philsMINT/AnnoMathTeX | cf893ccf31bd8ee78e15c4dd7a21d05c8c0663a7 | [
"Apache-2.0"
] | 2 | 2020-02-21T10:35:31.000Z | 2020-05-27T06:13:35.000Z | ###################################################################################
###################################################################################
###################################################################################
#################################### NOT USED ######################... | 38.612903 | 99 | 0.345865 |
9e1d031f1bdb8a3cac9a6b513404f280a6e80297 | 2,640 | py | Python | multicurrency/oro.py | fscm/multicurrency | 5eabdcbfbf427dcafe08d4d05cfce8c9348aeb91 | [
"MIT"
] | 2 | 2021-03-26T18:19:57.000Z | 2021-07-27T01:15:50.000Z | multicurrency/oro.py | fscm/multicurrency | 5eabdcbfbf427dcafe08d4d05cfce8c9348aeb91 | [
"MIT"
] | null | null | null | multicurrency/oro.py | fscm/multicurrency | 5eabdcbfbf427dcafe08d4d05cfce8c9348aeb91 | [
"MIT"
] | null | null | null | # -*- coding: UTF-8 -*-
#
# copyright: 2020-2022, Frederico Martins
# author: Frederico Martins <http://github.com/fscm>
# license: SPDX-License-Identifier: MIT
"""Oro currency representation(s)."""
from decimal import Decimal
from typing import Optional, Union
from .currency import Currency
class CordobaOro(Curren... | 34.285714 | 77 | 0.606061 |
9e1d09a1673ef01287f9fee2d9e74470f5899a01 | 116,567 | py | Python | pygfunction/pipes.py | wouterpeere/pygfunction | 6ac885b8b8a9532ed4aa2a748a0561a55ee515c2 | [
"BSD-3-Clause"
] | null | null | null | pygfunction/pipes.py | wouterpeere/pygfunction | 6ac885b8b8a9532ed4aa2a748a0561a55ee515c2 | [
"BSD-3-Clause"
] | null | null | null | pygfunction/pipes.py | wouterpeere/pygfunction | 6ac885b8b8a9532ed4aa2a748a0561a55ee515c2 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
import matplotlib.pyplot as plt
import numpy as np
from scipy.constants import pi
from scipy.special import binom
import warnings
from .utilities import _initialize_figure, _format_axes
class _BasePipe(object):
"""
Template for pipe classes.
Pipe classes inherit from this class.
... | 37.349247 | 121 | 0.57699 |
9e1d1a2a11a34dd268a45ad8d8bc4edcbd01edbd | 4,351 | py | Python | acceptance_tests/tests/tests/test_health_check.py | jhutchings1/c2cwsgiutils | 733f3eace5393539a170455038a27d42682bf4f5 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | acceptance_tests/tests/tests/test_health_check.py | jhutchings1/c2cwsgiutils | 733f3eace5393539a170455038a27d42682bf4f5 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | acceptance_tests/tests/tests/test_health_check.py | jhutchings1/c2cwsgiutils | 733f3eace5393539a170455038a27d42682bf4f5 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | import json
def _remove_timings(response):
for status in ("successes", "failures"):
assert status in response
for key, value in response[status].items():
assert "timing" in value
del value["timing"]
return response
def test_ok(app_connection):
response = app_conne... | 37.188034 | 108 | 0.54838 |
9e1d3ffa5c7fc909d04e2fe95042a9edb5c2a36c | 2,982 | py | Python | python/IO_operations/matlab_file.py | delunapaolo/Code-snippets-and-utilities | 3766bb4adcf197ed088f68482758d022fae18515 | [
"MIT"
] | null | null | null | python/IO_operations/matlab_file.py | delunapaolo/Code-snippets-and-utilities | 3766bb4adcf197ed088f68482758d022fae18515 | [
"MIT"
] | null | null | null | python/IO_operations/matlab_file.py | delunapaolo/Code-snippets-and-utilities | 3766bb4adcf197ed088f68482758d022fae18515 | [
"MIT"
] | null | null | null | import h5py
import scipy.io as spio
def load(filename, force_dictionary=False, return_metadata=False, **kwargs):
"""
This function should be called instead of direct spio.load
as it cures the problem of not properly recovering python dictionaries
from mat files. It calls the function check keys to cur... | 33.886364 | 105 | 0.654594 |
9e1d6bca8226f27b555ada72ce22ac8d9d97b750 | 3,624 | py | Python | intersight/models/hyperflex_hx_link_dt_ref.py | gumpcraca/intersight-python | 780e6703c739f329084beacbbf2ad7a6a2e59b2b | [
"Apache-2.0"
] | null | null | null | intersight/models/hyperflex_hx_link_dt_ref.py | gumpcraca/intersight-python | 780e6703c739f329084beacbbf2ad7a6a2e59b2b | [
"Apache-2.0"
] | null | null | null | intersight/models/hyperflex_hx_link_dt_ref.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 HyperflexHxLinkDtRef(object):
"""
NOTE: This ... | 24.16 | 77 | 0.543322 |
9e1d74e7b2f9a581b787b8e6be84a351d096c655 | 2,056 | py | Python | var/spack/repos/builtin/packages/pcre/package.py | BenWibking/spack | 49b3b43a4a9375210b578635d9240875a5f3106b | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 2,360 | 2017-11-06T08:47:01.000Z | 2022-03-31T14:45:33.000Z | var/spack/repos/builtin/packages/pcre/package.py | BenWibking/spack | 49b3b43a4a9375210b578635d9240875a5f3106b | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 13,838 | 2017-11-04T07:49:45.000Z | 2022-03-31T23:38:39.000Z | var/spack/repos/builtin/packages/pcre/package.py | joequant/spack | e028ee0d5903045e1cdeb57550cbff61f2ffb2fa | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 1,793 | 2017-11-04T07:45:50.000Z | 2022-03-30T14:31:53.000Z | # Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class Pcre(AutotoolsPackage):
"""The PCRE package contains Perl Compatible Regular Expression
... | 38.792453 | 97 | 0.70428 |
9e1d8523a1e51a3544d4695cda1b28a6b550dd46 | 3,277 | py | Python | 1_basic_models/1_linear_regression/train_mul.py | eubchain/tfdistributedtestcase | a81f99e051537fcd860de28587f0ab2bd9b1b5d4 | [
"MIT"
] | 6 | 2018-07-30T08:47:25.000Z | 2019-01-13T16:17:31.000Z | 1_basic_models/1_linear_regression/train_mul.py | eubchain/tfdistributedtestcase | a81f99e051537fcd860de28587f0ab2bd9b1b5d4 | [
"MIT"
] | null | null | null | 1_basic_models/1_linear_regression/train_mul.py | eubchain/tfdistributedtestcase | a81f99e051537fcd860de28587f0ab2bd9b1b5d4 | [
"MIT"
] | 2 | 2018-11-28T09:37:26.000Z | 2018-11-29T02:51:20.000Z | # -*- coding: utf-8 -*-
"""
Created on Tue Jun 5 12:17:49 2018
@author: eub_hmy
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import os.path
import sys
import time
import tensorflow as tf
import numpy as np
def main(_):
ps_hosts =... | 25.403101 | 125 | 0.631065 |
9e1daa782a969669512b99ddd515757414437c8b | 2,518 | py | Python | b_mark.py | simeonf/decorators | 8c67684ca20388c94bfdf2db7b1b15c7444ebc9e | [
"Apache-2.0"
] | 5 | 2019-06-20T02:40:06.000Z | 2021-11-16T06:27:15.000Z | b_mark.py | simeonf/decorators | 8c67684ca20388c94bfdf2db7b1b15c7444ebc9e | [
"Apache-2.0"
] | null | null | null | b_mark.py | simeonf/decorators | 8c67684ca20388c94bfdf2db7b1b15c7444ebc9e | [
"Apache-2.0"
] | 1 | 2019-06-20T02:34:24.000Z | 2019-06-20T02:34:24.000Z | """
Concepts: identity decorators are a way to have side effects at function definition time.
Here's the same exercise with an argparse CLI addded. The idea is that we
should see a subcommand for each endpoint supported. It should work like:
$ python b_mark.py --help
usage: b_mark.py [-h] {events,sessions} .... | 29.623529 | 89 | 0.689833 |
9e1dbe835c9164f76c2d1c8c0c5fe072d7dae6e4 | 2,314 | py | Python | venv/Lib/site-packages/pyrogram/raw/types/channel_admin_log_event_action_start_group_call.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_start_group_call.py | hoangkiet1906/Botcie_ver1 | c133b915edde06dac690a7dc6ca160f6792fc4c8 | [
"MIT"
] | null | null | null | venv/Lib/site-packages/pyrogram/raw/types/channel_admin_log_event_action_start_group_call.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... | 33.536232 | 106 | 0.646932 |
9e1dc74b8537d311e154ced5293a883fdc8c5e02 | 804 | py | Python | tests/test_cli.py | road-master/showroom-podcast | 71221b361cabd40e70aa4e8710292b20398e0ab5 | [
"MIT"
] | null | null | null | tests/test_cli.py | road-master/showroom-podcast | 71221b361cabd40e70aa4e8710292b20398e0ab5 | [
"MIT"
] | 1 | 2021-08-22T07:35:13.000Z | 2021-08-22T07:35:13.000Z | tests/test_cli.py | road-master/showroom-podcast | 71221b361cabd40e70aa4e8710292b20398e0ab5 | [
"MIT"
] | null | null | null | """Test for showroom_podcast.py."""
import logging
from click.testing import CliRunner
from showroompodcast.cli import showroom_podcast
class TestShowroomPodcast:
"""Test for ShowroomPodcast."""
@staticmethod
# Reason: pytest fixture. pylint: disable=unused-argument
def test(
mock_requrst_r... | 27.724138 | 101 | 0.670398 |
9e1dcb61a58a1e3c35e23cd70fc5fc61edb04797 | 1,604 | py | Python | tests/test_query_dbpedia.py | KnowledgeCaptureAndDiscovery/OBA_sparql | 9c1c28902ab3d6561b3b6a0f8a7d284688d86326 | [
"Apache-2.0"
] | 5 | 2020-05-12T22:00:16.000Z | 2021-11-08T22:16:11.000Z | tests/test_query_dbpedia.py | KnowledgeCaptureAndDiscovery/OBA_sparql | 9c1c28902ab3d6561b3b6a0f8a7d284688d86326 | [
"Apache-2.0"
] | 24 | 2019-09-26T23:20:11.000Z | 2022-01-14T14:19:14.000Z | tests/test_query_dbpedia.py | KnowledgeCaptureAndDiscovery/OBA_sparql | 9c1c28902ab3d6561b3b6a0f8a7d284688d86326 | [
"Apache-2.0"
] | 1 | 2021-12-01T14:56:09.000Z | 2021-12-01T14:56:09.000Z | # from typing import Dict
#
# import unittest
#
# from obasparql import QueryManager
# from obasparql.static import QUERY_TYPE_GET_ONE_USER, QUERIES_TYPES, QUERY_TYPE_GET_ONE
# from tests.settings import dbpedia_queries, dbpedia_context, dbpedia_endpoint, dbpedia_prefix
#
#
# class TestQuery(unittest.TestCase):
#
# ... | 38.190476 | 95 | 0.5399 |
9e1dd1903d37bbd129bd60be155b85ae63fa398d | 10,997 | py | Python | NBA Project/venv/Lib/site-packages/plotly/graph_objs/splom/hoverlabel/__init__.py | EnriqueGambra/Most-Efficient-NBA-Players | ea67c28b5294dbc9713200a937deb9f4211ba754 | [
"MIT"
] | 1 | 2020-08-08T21:56:11.000Z | 2020-08-08T21:56:11.000Z | NBA Project/venv/Lib/site-packages/plotly/graph_objs/splom/hoverlabel/__init__.py | EnriqueGambra/Most-Efficient-NBA-Players | ea67c28b5294dbc9713200a937deb9f4211ba754 | [
"MIT"
] | 2 | 2021-03-31T19:54:17.000Z | 2021-06-02T02:33:56.000Z | NBA Project/venv/Lib/site-packages/plotly/graph_objs/splom/hoverlabel/__init__.py | EnriqueGambra/Most-Efficient-NBA-Players | ea67c28b5294dbc9713200a937deb9f4211ba754 | [
"MIT"
] | null | null | null | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Font(_BaseTraceHierarchyType):
# color
# -----
@property
def color(self):
"""
The 'color' property is a color and may be specified as:
- A hex string (e.g. '#ff0000'... | 34.365625 | 82 | 0.56379 |
9e1de8a3e5aa17d5ddd11c33887d9ef35b210a32 | 1,509 | py | Python | scripts/resolveConflicts.py | jakelever/biowordlists | e0b86c7afed4cf17145003da05bffe3530a820c9 | [
"MIT"
] | 9 | 2019-02-07T11:17:00.000Z | 2021-12-24T22:51:49.000Z | scripts/resolveConflicts.py | jakelever/biowordlists | e0b86c7afed4cf17145003da05bffe3530a820c9 | [
"MIT"
] | 1 | 2019-08-15T02:56:45.000Z | 2019-08-16T01:54:37.000Z | scripts/resolveConflicts.py | jakelever/biowordlists | e0b86c7afed4cf17145003da05bffe3530a820c9 | [
"MIT"
] | 5 | 2018-12-21T04:20:51.000Z | 2021-12-24T22:53:21.000Z | import argparse
from collections import defaultdict
def main():
parser = argparse.ArgumentParser(description='')
parser.add_argument('--wordlist',required=True,type=str,help='Wordlist to help resolve conflicts')
parser.add_argument('--conflicts',required=True,type=str,help='File with conflicting terms (separated by... | 35.093023 | 120 | 0.71173 |
9e1e1ed703844bbe4f74e116e9951a1043ec21f3 | 1,089 | py | Python | python/ConstantVelocityMotionModel.py | cheesinglee/cuda-PHDSLAM | e3844904a3dae8e1bcfe1d7f3898beccd67178b5 | [
"Apache-2.0"
] | 14 | 2015-02-11T18:08:18.000Z | 2022-02-22T07:27:45.000Z | python/ConstantVelocityMotionModel.py | cheesinglee/cuda-PHDSLAM | e3844904a3dae8e1bcfe1d7f3898beccd67178b5 | [
"Apache-2.0"
] | null | null | null | python/ConstantVelocityMotionModel.py | cheesinglee/cuda-PHDSLAM | e3844904a3dae8e1bcfe1d7f3898beccd67178b5 | [
"Apache-2.0"
] | 6 | 2015-11-19T09:57:19.000Z | 2021-03-26T15:21:41.000Z | # -*- coding: utf-8 -*-
class ConstantVelocityMotionModel:
def __init__(self,params):
# check that all the sensor parameters are present
required_keys = ['std_x','std_y','std_z','std_yaw','std_pitch']
if not all(k in params for k in required_keys):
raise RuntimeError('missing se... | 32.029412 | 79 | 0.538108 |
9e1e2153f330cff744f545e862e8cb869b4bb69e | 1,980 | py | Python | dear_petition/petition/etl/paginator.py | robert-w-gries/dear-petition | 35244afc8e967b41ae5265ae31fd13b26e4e835a | [
"MIT"
] | 4 | 2020-04-01T14:42:45.000Z | 2021-12-12T21:11:11.000Z | dear_petition/petition/etl/paginator.py | robert-w-gries/dear-petition | 35244afc8e967b41ae5265ae31fd13b26e4e835a | [
"MIT"
] | 142 | 2019-08-12T19:08:34.000Z | 2022-03-29T23:05:35.000Z | dear_petition/petition/etl/paginator.py | robert-w-gries/dear-petition | 35244afc8e967b41ae5265ae31fd13b26e4e835a | [
"MIT"
] | 8 | 2020-02-04T20:37:00.000Z | 2021-03-28T13:28:32.000Z | from dear_petition.petition.constants import DISMISSED, ATTACHMENT
INITIAL_PAGE_SIZE = 10
ATTACHMENT_PAGE_SIZE = 20
class OffenseRecordPaginator:
"""
Class to manage dividing up offense records across petition and petition attachments.
A petition has attachments if the number of offense records exceeds t... | 36 | 89 | 0.674747 |
9e1e38d9b3b04c4222a75aa7910a214aa1ce16e6 | 4,901 | py | Python | tests/test_units.py | Harmonicahappy/MASTER-TF | 27e4306d827d50ee53ecbeeebba2259d2d37ecbe | [
"MIT"
] | 128 | 2020-07-06T06:59:17.000Z | 2022-03-29T21:28:48.000Z | tests/test_units.py | Harmonicahappy/MASTER-TF | 27e4306d827d50ee53ecbeeebba2259d2d37ecbe | [
"MIT"
] | 19 | 2020-07-23T07:16:49.000Z | 2022-02-09T23:49:28.000Z | tests/test_units.py | Harmonicahappy/MASTER-TF | 27e4306d827d50ee53ecbeeebba2259d2d37ecbe | [
"MIT"
] | 39 | 2020-07-20T01:15:25.000Z | 2021-09-18T13:04:18.000Z | # ______ __
# / \ / |
# /$$$$$$ | __ __ __ ______ _______ $$ | __ __
# $$ | $$ |/ | / | / | / \ / \ $$ | / | / |
# $$ | $$ |$$ | $$ | $$ |/$... | 36.574627 | 155 | 0.592328 |
9e1e554e8006951ab8535b29ba95545de5ff3a30 | 3,301 | py | Python | tofu/imas2tofu/__init__.py | WinstonLHS/tofu | c95b2eb6aedcf4bac5676752b9635b78f31af6ca | [
"MIT"
] | 56 | 2017-07-09T10:29:45.000Z | 2022-03-31T02:44:50.000Z | tofu/imas2tofu/__init__.py | WinstonLHS/tofu | c95b2eb6aedcf4bac5676752b9635b78f31af6ca | [
"MIT"
] | 522 | 2017-07-02T21:06:07.000Z | 2022-03-02T08:07:57.000Z | tofu/imas2tofu/__init__.py | Didou09/tofu | 4a4e1f058bab8e7556ed9d518f90807cec605476 | [
"MIT"
] | 9 | 2017-07-02T20:38:53.000Z | 2021-12-04T00:12:30.000Z | # -*- coding: utf-8 -*-
#! /usr/bin/python
"""
The imas-compatibility module of tofu
"""
import warnings
import traceback
import itertools as itt
try:
try:
from tofu.imas2tofu._core import *
from tofu.imas2tofu._mat2ids2calc import *
except Exception:
from ._core import *
from ... | 32.362745 | 83 | 0.594062 |
9e1e57928e03eba0e838a7d12cc465656a30fab9 | 4,651 | py | Python | tests/services/test_alert_rules.py | ryanvanasse/py42 | 4664c45d41c32f48323b552b7b11f885c055bff3 | [
"MIT"
] | null | null | null | tests/services/test_alert_rules.py | ryanvanasse/py42 | 4664c45d41c32f48323b552b7b11f885c055bff3 | [
"MIT"
] | null | null | null | tests/services/test_alert_rules.py | ryanvanasse/py42 | 4664c45d41c32f48323b552b7b11f885c055bff3 | [
"MIT"
] | null | null | null | import json
import pytest
from requests import Response
from py42.exceptions import Py42InvalidRuleError
from py42.exceptions import Py42NotFoundError
from py42.services.alertrules import AlertRulesService
from py42.services.detectionlists.user_profile import DetectionListUserService
MOCK_DETECTION_LIST_GET_RESPONS... | 39.752137 | 98 | 0.71705 |
9e1e67ac97c16a538ced4b03e09b472105cf81c3 | 27,461 | py | Python | tools/installer/installer.py | pythings/PythingsOS | 276b41a32af7fa0d5395b2bb308e611f784f9711 | [
"Apache-2.0"
] | 11 | 2020-01-15T14:25:48.000Z | 2021-11-25T04:21:18.000Z | tools/installer/installer.py | Pythings/PythingsOS | 276b41a32af7fa0d5395b2bb308e611f784f9711 | [
"Apache-2.0"
] | 8 | 2021-02-04T16:41:57.000Z | 2022-03-29T21:57:15.000Z | tools/installer/installer.py | pythings/PythingsOS | 276b41a32af7fa0d5395b2bb308e611f784f9711 | [
"Apache-2.0"
] | null | null | null | import re
import sys
sys.path.append('deps')
import glob
import serial
import subprocess
import time
import os
import zipfile
from collections import namedtuple
from os import listdir
from os.path import isfile, join
import platform
# Defaults
DEFAULT_VERSION = 'v1.1.0'
DEFAULT_CHOOSE_OPERATION = False
DEFAUL... | 35.296915 | 219 | 0.537999 |
9e1e6aa745fef48f89f315f145b976e14f20274f | 4,340 | py | Python | tests/common/dualtor/tor_failure_utils.py | pra-moh/sonic-mgmt | 26285708eab7428c2b6250be03483d63f94cfb5c | [
"Apache-2.0"
] | null | null | null | tests/common/dualtor/tor_failure_utils.py | pra-moh/sonic-mgmt | 26285708eab7428c2b6250be03483d63f94cfb5c | [
"Apache-2.0"
] | null | null | null | tests/common/dualtor/tor_failure_utils.py | pra-moh/sonic-mgmt | 26285708eab7428c2b6250be03483d63f94cfb5c | [
"Apache-2.0"
] | null | null | null | """
Tor Failure utilities to test switchover and MUX handling during:
Shutdown all BGP sessions on a ToR
Shutdown the LinkProber on a ToR
Blackhole all traffic on a ToR
Reboot a ToR
"""
from tests.common.reboot import reboot, SONIC_SSH_PORT, SONIC_SSH_REGEX, \
REBOOT_TYPE_COLD
import ipa... | 30.780142 | 103 | 0.599539 |
9e1e6fb487b7c56894e4590d3f124354beafa404 | 4,833 | py | Python | AS2/fprop.py | ivanbgd/Coursera-Neural-Networks-for-Machine-Learning | 95b4583b1dbb53784fb8ba0381ca5ca87849ae14 | [
"MIT"
] | null | null | null | AS2/fprop.py | ivanbgd/Coursera-Neural-Networks-for-Machine-Learning | 95b4583b1dbb53784fb8ba0381ca5ca87849ae14 | [
"MIT"
] | null | null | null | AS2/fprop.py | ivanbgd/Coursera-Neural-Networks-for-Machine-Learning | 95b4583b1dbb53784fb8ba0381ca5ca87849ae14 | [
"MIT"
] | null | null | null | import numpy as np
def fprop(input_batch, word_embedding_weights, embed_to_hid_weights, hid_to_output_weights, hid_bias, output_bias):
"""
This method forward propagates through a neural network.
Inputs:
input_batch: The input data as a matrix of size numwords X batchsize where
numwords is th... | 50.873684 | 168 | 0.703911 |
9e1e7aa8d21ec534496e1f6fe5c7d50817a7281d | 4,637 | py | Python | lm_eval/tasks/race.py | yuvalkirstain/lm-evaluation-harness | bac26c85c991a310c8791213d186f713387cc0fd | [
"MIT"
] | 4 | 2021-10-14T15:55:39.000Z | 2021-12-15T14:44:08.000Z | lm_eval/tasks/race.py | yuvalkirstain/lm-evaluation-harness | bac26c85c991a310c8791213d186f713387cc0fd | [
"MIT"
] | null | null | null | lm_eval/tasks/race.py | yuvalkirstain/lm-evaluation-harness | bac26c85c991a310c8791213d186f713387cc0fd | [
"MIT"
] | null | null | null | import collections
import datasets
import numpy as np
from lm_eval.base import rf
from ..metrics import mean
from . common import HFTask
class each:
def __init__(self, f):
self.f = f
def __rrshift__(self, other):
return list(map(self.f, other))
class RACE(HFTask):
DATASET_PATH = "race"
... | 30.913333 | 95 | 0.582489 |
9e1ebb6b2da397946ddbf643bf416e9dc59fb5c2 | 1,224 | py | Python | exorad/utils/ascii_art.py | derikk/ExoRad2-public | 034406bfd8237670f0796f9c95ab2fa5d609bc95 | [
"BSD-3-Clause"
] | 2 | 2020-12-14T20:32:16.000Z | 2021-11-23T11:41:04.000Z | exorad/utils/ascii_art.py | derikk/ExoRad2-public | 034406bfd8237670f0796f9c95ab2fa5d609bc95 | [
"BSD-3-Clause"
] | null | null | null | exorad/utils/ascii_art.py | derikk/ExoRad2-public | 034406bfd8237670f0796f9c95ab2fa5d609bc95 | [
"BSD-3-Clause"
] | 1 | 2020-12-17T19:55:34.000Z | 2020-12-17T19:55:34.000Z | import exorad.__version__ as version
# ascii_art =" .-. _______ . ' * . . \n\
# {}``; |==|_______D . * * -+- \n\
# ( / | / | \ * . ' . \n\
# \(_)_]] / | ... | 47.076923 | 85 | 0.234477 |
9e1ed008737329993f51b5e9c52834ff8e76ec1f | 24,323 | py | Python | DeepLearning/DeepLearning/02_Deep_ChoTH/deep_learning_4.py | ghost9023/DeepLearningPythonStudy | 4d319c8729472cc5f490935854441a2d4b4e8818 | [
"MIT"
] | 1 | 2019-06-27T04:05:59.000Z | 2019-06-27T04:05:59.000Z | DeepLearning/DeepLearning/02_Deep_ChoTH/deep_learning_4.py | ghost9023/DeepLearningPythonStudy | 4d319c8729472cc5f490935854441a2d4b4e8818 | [
"MIT"
] | null | null | null | DeepLearning/DeepLearning/02_Deep_ChoTH/deep_learning_4.py | ghost9023/DeepLearningPythonStudy | 4d319c8729472cc5f490935854441a2d4b4e8818 | [
"MIT"
] | null | null | null | # CHAPTER 4 신경망 학습
# 데이터 주도학습
# 특징을 추출하고 그 특징의 패턴을 기계학습으로 학습하는 방법
# 신경망은 이미지를 있는 그대로 학습한다. 즉, 특징을 사람이 설계하지 않는다.
# 신경망(딥러닝)은 종단간(end-to-end) 기계학습이라고 한다. 여기서 종단간은 처음부터 끝까지라는 의미이다.
# 신경망의 이점은 모든 문제를 같은 맥락에서 풀 수 있다는 점에 있다.
# 예를 들어 숫자를 인식하든, 개를 인식하든, 사람 얼굴을 인식하든 세부사항에 관계없이 주어진 데이터를 온전히 학습하고,
# 주어진 문제의 패턴을 발견하려고 시도한다.
# 훈련데... | 33.548966 | 162 | 0.586276 |
9e1f0c8032314263c8c290682633909d64f094ab | 388 | py | Python | papermerge/core/migrations/0028_auto_20201018_0834.py | w-michal/papermerge | 14703c3316deea06696da041b7adc4bd0b15270b | [
"Apache-2.0"
] | null | null | null | papermerge/core/migrations/0028_auto_20201018_0834.py | w-michal/papermerge | 14703c3316deea06696da041b7adc4bd0b15270b | [
"Apache-2.0"
] | 1 | 2021-02-12T02:28:00.000Z | 2021-02-24T04:08:34.000Z | papermerge/core/migrations/0028_auto_20201018_0834.py | w-michal/papermerge | 14703c3316deea06696da041b7adc4bd0b15270b | [
"Apache-2.0"
] | 2 | 2021-02-11T23:10:29.000Z | 2021-02-13T09:06:49.000Z | # Generated by Django 3.0.10 on 2020-10-18 08:34
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('core', '0027_remove_document_file_orig'),
]
operations = [
migrations.AlterField(
model_name='document',
name='text... | 20.421053 | 51 | 0.600515 |
9e1f15b1bc508d8be0a2c0190d07eb1c2bed95c4 | 2,995 | py | Python | tensorflow/python/keras/layers/advanced_activations_test.py | tianyapiaozi/tensorflow | fb3ce0467766a8e91f1da0ad7ada7c24fde7a73a | [
"Apache-2.0"
] | 71 | 2017-05-25T16:02:15.000Z | 2021-06-09T16:08:08.000Z | tensorflow/python/keras/layers/advanced_activations_test.py | shrikunjsarda/tensorflow | 7e8927e7af0c51ac20a63bd4eab6ff83df1a39ae | [
"Apache-2.0"
] | 133 | 2017-04-26T16:49:49.000Z | 2019-10-15T11:39:26.000Z | tensorflow/python/keras/layers/advanced_activations_test.py | shrikunjsarda/tensorflow | 7e8927e7af0c51ac20a63bd4eab6ff83df1a39ae | [
"Apache-2.0"
] | 26 | 2017-04-12T16:25:44.000Z | 2018-10-30T10:10:15.000Z | # Copyright 2016 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... | 36.52439 | 80 | 0.588314 |
9e1f199632ffc06de53eae978a0daa8dc99332f5 | 1,029 | py | Python | python/samweb_client/exceptions.py | illingwo/sam-web-client | 0947120a7be74f42ae68bbbe39e64022c410effe | [
"BSD-3-Clause"
] | null | null | null | python/samweb_client/exceptions.py | illingwo/sam-web-client | 0947120a7be74f42ae68bbbe39e64022c410effe | [
"BSD-3-Clause"
] | null | null | null | python/samweb_client/exceptions.py | illingwo/sam-web-client | 0947120a7be74f42ae68bbbe39e64022c410effe | [
"BSD-3-Clause"
] | null | null | null | """
Exception classes. The specific exception classes like "FileNotFound" are dynamically generated from the server response
This has the consequence that
from samweb_client.exceptions import *
won't import these names because they aren't created until the server has been contacted.
Instead you have to do
catch sa... | 31.181818 | 123 | 0.809524 |
9e1f2081fa60a5c99fc189d0fbe9487386ebfc40 | 930 | py | Python | crowdastro/elais_labels.py | chengsoonong/crowdastro | ce14432c36de0574b73d813304365b74446a61f8 | [
"MIT"
] | 13 | 2015-11-07T15:24:44.000Z | 2020-04-20T05:29:58.000Z | crowdastro/elais_labels.py | chengsoonong/crowdastro | ce14432c36de0574b73d813304365b74446a61f8 | [
"MIT"
] | 234 | 2016-02-21T23:53:16.000Z | 2019-06-27T00:26:08.000Z | crowdastro/elais_labels.py | chengsoonong/crowdastro | ce14432c36de0574b73d813304365b74446a61f8 | [
"MIT"
] | 3 | 2015-11-07T00:20:09.000Z | 2018-10-03T13:37:15.000Z | """Finds labels for ELAIS-S1 objects.
The Australian National University
2016
"""
import argparse
import h5py
import sklearn.externals.joblib
import sklearn.linear_model
def main(training_h5_path, classifier_path, output_h5_path):
with h5py.File(training_h5_path, 'r') as f_h5:
features = f_h5['features... | 30 | 76 | 0.723656 |
9e1f22a2c74078a263c36099851bd52946e466db | 6,166 | py | Python | custom_components/hahm/climate.py | Lemocin/custom_homematic | 1b6bc2da270bcbb58b52806c50f4d7dbdcff4e37 | [
"MIT"
] | 45 | 2021-07-28T07:37:52.000Z | 2022-03-31T11:05:53.000Z | custom_components/hahm/climate.py | Lemocin/custom_homematic | 1b6bc2da270bcbb58b52806c50f4d7dbdcff4e37 | [
"MIT"
] | 14 | 2021-11-24T09:26:21.000Z | 2022-03-20T16:17:57.000Z | custom_components/hahm/climate.py | Lemocin/custom_homematic | 1b6bc2da270bcbb58b52806c50f4d7dbdcff4e37 | [
"MIT"
] | 12 | 2021-10-10T06:15:17.000Z | 2022-03-30T08:36:12.000Z | """climate for Homematic(IP) Local."""
from __future__ import annotations
from datetime import datetime, timedelta
import logging
from typing import Any
from hahomematic.const import HmPlatform
from hahomematic.devices.climate import BaseClimateEntity
import voluptuous as vol
from homeassistant.components.climate im... | 34.446927 | 85 | 0.700292 |
9e1f2c0d8d0dbfa8abc137591a2a636dc5afd671 | 9,173 | py | Python | experiments/imdb.py | AndreasMadsen/nlp-roar-interpretability | ad30f756cd744dfb05d1b57de744c5ff60d9f20c | [
"MIT"
] | 17 | 2021-11-04T02:15:30.000Z | 2021-12-26T16:31:27.000Z | experiments/imdb.py | AndreasMadsen/nlp-roar-interpretability | ad30f756cd744dfb05d1b57de744c5ff60d9f20c | [
"MIT"
] | null | null | null | experiments/imdb.py | AndreasMadsen/nlp-roar-interpretability | ad30f756cd744dfb05d1b57de744c5ff60d9f20c | [
"MIT"
] | 1 | 2021-11-04T10:45:25.000Z | 2021-11-04T10:45:25.000Z | import argparse
import json
import os
import os.path as path
import shutil
import tempfile
import torch
import pytorch_lightning as pl
from pytorch_lightning.loggers import TensorBoardLogger
from pytorch_lightning.callbacks import ModelCheckpoint
from nlproar.dataset import IMDBDataset, ROARDataset
from nlproar.model... | 43.889952 | 140 | 0.581489 |
9e1f325c1de1ecae106f21d748c6b8024e755e61 | 2,094 | py | Python | assemblyline/odm/models/user_settings.py | malvidin/assemblyline-base | 6e7de0c15fbca2cf586e33f04df7d3717bd0c0b5 | [
"MIT"
] | null | null | null | assemblyline/odm/models/user_settings.py | malvidin/assemblyline-base | 6e7de0c15fbca2cf586e33f04df7d3717bd0c0b5 | [
"MIT"
] | null | null | null | assemblyline/odm/models/user_settings.py | malvidin/assemblyline-base | 6e7de0c15fbca2cf586e33f04df7d3717bd0c0b5 | [
"MIT"
] | null | null | null | from assemblyline import odm
from assemblyline.common import forge
from assemblyline.odm.models.submission import ServiceSelection
Classification = forge.get_classification()
ENCODINGS = {"cart", "raw"}
VIEWS = {"report", "details"}
@odm.model(index=False, store=False)
class UserSettings(odm.Model): ... | 69.8 | 120 | 0.625597 |
9e1f4829e37a5b318a96b0c451afd7f714bd835b | 677 | py | Python | toontown/pets/PetBase.py | LittleNed/toontown-stride | 1252a8f9a8816c1810106006d09c8bdfe6ad1e57 | [
"Apache-2.0"
] | 3 | 2020-01-02T08:43:36.000Z | 2020-07-05T08:59:02.000Z | toontown/pets/PetBase.py | NoraTT/Historical-Commits-Project-Altis-Source | fe88e6d07edf418f7de6ad5b3d9ecb3d0d285179 | [
"Apache-2.0"
] | 1 | 2018-07-28T20:07:04.000Z | 2018-07-30T18:28:34.000Z | toontown/pets/PetBase.py | NoraTT/Historical-Commits-Project-Altis-Source | fe88e6d07edf418f7de6ad5b3d9ecb3d0d285179 | [
"Apache-2.0"
] | 4 | 2019-06-20T23:45:23.000Z | 2020-10-14T20:30:15.000Z | from toontown.pets.PetConstants import AnimMoods
from toontown.pets import PetMood
class PetBase:
def getSetterName(self, valueName, prefix = 'set'):
return '%s%s%s' % (prefix, valueName[0].upper(), valueName[1:])
def getAnimMood(self):
if self.mood.getDominantMood() in PetMood.PetMood.Excite... | 30.772727 | 73 | 0.667651 |
9e1f4b9740d9856268b0ae6c3383af82e4716c2c | 1,312 | py | Python | AzusaBot/Azusa/modules/chat/__init__.py | ethpch/AzusaBot_old | 067e4985d4b8d60c98db758f3e103a4f409c9599 | [
"MIT"
] | 2 | 2021-09-23T14:43:00.000Z | 2021-09-26T12:01:07.000Z | AzusaBot/Azusa/modules/chat/__init__.py | ethpch/AzusaBot_old | 067e4985d4b8d60c98db758f3e103a4f409c9599 | [
"MIT"
] | null | null | null | AzusaBot/Azusa/modules/chat/__init__.py | ethpch/AzusaBot_old | 067e4985d4b8d60c98db758f3e103a4f409c9599 | [
"MIT"
] | null | null | null | import logging
from nonebot import permission as perm
from nonebot import Message as M
from Azusa.data import groupdict
from Azusa.middleware import on_command
logger = logging.getLogger('Azusa.chat')
@on_command('disable_chat',
logger=logger,
checkfunc=lambda session: session.event['message_... | 38.588235 | 85 | 0.684451 |
9e1f565da008ad18aab31c431a7f43b1e9bdf032 | 99 | py | Python | src/main/python/cobra/mit/__init__.py | tm0nk/cobra-j | daeb85250e63cb21e9c02ecc2acfdf8ba1e44d6b | [
"Apache-2.0"
] | null | null | null | src/main/python/cobra/mit/__init__.py | tm0nk/cobra-j | daeb85250e63cb21e9c02ecc2acfdf8ba1e44d6b | [
"Apache-2.0"
] | null | null | null | src/main/python/cobra/mit/__init__.py | tm0nk/cobra-j | daeb85250e63cb21e9c02ecc2acfdf8ba1e44d6b | [
"Apache-2.0"
] | null | null | null | from ._loader import ClassLoader
from ._mit import Mit
__all__ = [
'ClassLoader',
'Mit'
]
| 12.375 | 32 | 0.666667 |
9e1f70760f9f0c542fad5c293710a156abafa239 | 400 | py | Python | cluster_kmeans_10.py | jgpattis/Desres-sars-cov-2-apo-mpro | 90c07414040c0ea0bf54028e2f194d6509c8f526 | [
"MIT"
] | null | null | null | cluster_kmeans_10.py | jgpattis/Desres-sars-cov-2-apo-mpro | 90c07414040c0ea0bf54028e2f194d6509c8f526 | [
"MIT"
] | null | null | null | cluster_kmeans_10.py | jgpattis/Desres-sars-cov-2-apo-mpro | 90c07414040c0ea0bf54028e2f194d6509c8f526 | [
"MIT"
] | null | null | null | #cluster tica data into clusters
import pyemma.coordinates as coor
import numpy as np
sys = 'fdis'
tica_data = coor.load('tica_data_05/fdis_tica_data.h5')
n_clusters = 100
cl = coor.cluster_kmeans(tica_data, k=n_clusters, max_iter=50)
#cl.save(f'cluster_data/{sys}_{n_clusters}_mini_cluster_object.h5', overwrite=Tru... | 26.666667 | 83 | 0.795 |
9e1f8260a8dc61ce405cb174bfc2e748616e7921 | 9,602 | py | Python | Pset4 - Scrabble/ps4a.py | RoguedBear/EdX-MIT-6.00.1x | 6ec2cb971f277bf2b67f0f0303e8bf11810c4b26 | [
"MIT"
] | null | null | null | Pset4 - Scrabble/ps4a.py | RoguedBear/EdX-MIT-6.00.1x | 6ec2cb971f277bf2b67f0f0303e8bf11810c4b26 | [
"MIT"
] | null | null | null | Pset4 - Scrabble/ps4a.py | RoguedBear/EdX-MIT-6.00.1x | 6ec2cb971f277bf2b67f0f0303e8bf11810c4b26 | [
"MIT"
] | null | null | null | # The 6.00 Word Game
import random
import string
VOWELS = 'aeiou'
CONSONANTS = 'bcdfghjklmnpqrstvwxyz'
HAND_SIZE = 7
SCRABBLE_LETTER_VALUES = {
'a': 1, 'b': 3, 'c': 3, 'd': 2, 'e': 1, 'f': 4, 'g': 2, 'h': 4, 'i': 1, 'j': 8, 'k': 5, 'l': 1, 'm': 3, 'n': 1, 'o': 1, 'p': 3, 'q': 10, 'r': 1, 's': 1, 't': 1, 'u': 1, ... | 30.100313 | 212 | 0.600292 |
9e1f8fbe6346060a4f88df2ce2f097743c059505 | 4,428 | py | Python | src/sentry/web/frontend/organization_members.py | NetEaseGame/Sentry | b2804c3e4b7fea61294e12d9b608b5fbdeeac5a3 | [
"BSD-3-Clause"
] | 20 | 2016-10-01T04:29:24.000Z | 2020-10-09T07:23:34.000Z | src/sentry/web/frontend/organization_members.py | NetEaseGame/Sentry | b2804c3e4b7fea61294e12d9b608b5fbdeeac5a3 | [
"BSD-3-Clause"
] | null | null | null | src/sentry/web/frontend/organization_members.py | NetEaseGame/Sentry | b2804c3e4b7fea61294e12d9b608b5fbdeeac5a3 | [
"BSD-3-Clause"
] | 7 | 2016-10-27T05:12:45.000Z | 2021-05-01T14:29:53.000Z | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from django.db.models import Q
from sentry import roles
from sentry.models import (
AuthProvider, OrganizationAccessRequest, OrganizationMember, Team, OrganizationMemberTeam
)
from sentry.web.frontend.base import OrganizationView, TeamView
from django... | 41.383178 | 148 | 0.608175 |
9e1fa42c9eeff5cc17a47ffb9834d33fd39689ce | 6,033 | py | Python | src/frameworks/Keras/designs/dense_layer_ui.py | AliOsm/Talzeeq | 66a1bb95689f9ba2dc4759bf71f5ef82cf983f64 | [
"MIT"
] | 4 | 2021-01-01T13:27:08.000Z | 2022-02-03T02:02:46.000Z | src/frameworks/Keras/designs/dense_layer_ui.py | AliOsm/Talzeeq | 66a1bb95689f9ba2dc4759bf71f5ef82cf983f64 | [
"MIT"
] | null | null | null | src/frameworks/Keras/designs/dense_layer_ui.py | AliOsm/Talzeeq | 66a1bb95689f9ba2dc4759bf71f5ef82cf983f64 | [
"MIT"
] | 1 | 2022-01-09T19:43:05.000Z | 2022-01-09T19:43:05.000Z | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'src/frameworks/Keras/designs/dense_layer.ui'
#
# Created by: PyQt5 UI code generator 5.15.2
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.... | 57.457143 | 111 | 0.736118 |
9e1fa472133f2117a43cf2031f02c4a046286387 | 2,437 | py | Python | crowdastro/experiment/experiment_labeller_accuracy.py | chengsoonong/crowdastro | ce14432c36de0574b73d813304365b74446a61f8 | [
"MIT"
] | 13 | 2015-11-07T15:24:44.000Z | 2020-04-20T05:29:58.000Z | crowdastro/experiment/experiment_labeller_accuracy.py | chengsoonong/crowdastro | ce14432c36de0574b73d813304365b74446a61f8 | [
"MIT"
] | 234 | 2016-02-21T23:53:16.000Z | 2019-06-27T00:26:08.000Z | crowdastro/experiment/experiment_labeller_accuracy.py | chengsoonong/crowdastro | ce14432c36de0574b73d813304365b74446a61f8 | [
"MIT"
] | 3 | 2015-11-07T00:20:09.000Z | 2018-10-03T13:37:15.000Z | """Plots the accuracies of RGZ volunteers.
Matthew Alger
The Australian National University
2016
"""
import argparse
import crowdastro.crowd.util
import h5py
import matplotlib
import matplotlib.pyplot as plt
import numpy
import sklearn.metrics
def main(crowdastro_h5_path):
with h5py.File(crowdastro_h5_path, 'r... | 32.932432 | 78 | 0.595404 |
9e1fcf1b1e42e1f32d7f296ca3682454d77da60d | 2,326 | py | Python | venv/Lib/site-packages/pyrogram/raw/types/messages/history_import.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/messages/history_import.py | hoangkiet1906/Botcie_ver1 | c133b915edde06dac690a7dc6ca160f6792fc4c8 | [
"MIT"
] | null | null | null | venv/Lib/site-packages/pyrogram/raw/types/messages/history_import.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... | 30.207792 | 103 | 0.613929 |
9e1fdc313ae03e8b667fb83abaf25fae539e8e7e | 2,044 | py | Python | MachineLearning/K-Means/k-means.py | YangXiaoo/NoteBook | 37056acad7a05b876832f72ac34d3d1a41e0dd22 | [
"CNRI-Python",
"RSA-MD",
"CECILL-B"
] | 58 | 2019-03-03T04:42:23.000Z | 2022-01-13T04:36:31.000Z | MachineLearning/K-Means/k-means.py | YangXiaoo/NoteBook | 37056acad7a05b876832f72ac34d3d1a41e0dd22 | [
"CNRI-Python",
"RSA-MD",
"CECILL-B"
] | null | null | null | MachineLearning/K-Means/k-means.py | YangXiaoo/NoteBook | 37056acad7a05b876832f72ac34d3d1a41e0dd22 | [
"CNRI-Python",
"RSA-MD",
"CECILL-B"
] | 28 | 2019-08-11T01:25:00.000Z | 2021-08-22T06:46:06.000Z | # coding:UTF-8
# 2018-10-15
# k-means
# python 机器学习算法
import numpy as np
def loadData(file_path):
'''导入数据
input: file_path(string):文件的存储位置
output: data(mat):数据
'''
f = open(file_path)
data = []
for line in f.readlines():
row = [] # 记录每一行
lines = line.strip().split("\t")
... | 20.857143 | 84 | 0.571918 |
9e2033021d7add25df8b6e451da7f91ab0636935 | 7,492 | py | Python | tests/unit/mdp/test_mdp_base.py | CubeSkyy/ILU-RL | 676d88587e1d8638487de1b5a3f8785a7375ad1a | [
"MIT"
] | null | null | null | tests/unit/mdp/test_mdp_base.py | CubeSkyy/ILU-RL | 676d88587e1d8638487de1b5a3f8785a7375ad1a | [
"MIT"
] | null | null | null | tests/unit/mdp/test_mdp_base.py | CubeSkyy/ILU-RL | 676d88587e1d8638487de1b5a3f8785a7375ad1a | [
"MIT"
] | 2 | 2021-03-13T15:38:05.000Z | 2021-05-08T22:25:36.000Z | import unittest
from ilurl.rewards import build_rewards
from ilurl.state.state import State
from ilurl.envs.elements import build_vehicles
from ilurl.params import MDPParams
from ilurl.utils.properties import lazy_property
from tests.unit.network.test_grid import (TestGridSetUp,
... | 34.846512 | 79 | 0.634544 |
9e206a7149db4b60fb0ebaed58533b8b9f7c9eb3 | 7,632 | py | Python | v3.py | dr-yali/Bone-MRI | 54c50b2da26190575ad0913f715bc15a7dbd857f | [
"MIT"
] | null | null | null | v3.py | dr-yali/Bone-MRI | 54c50b2da26190575ad0913f715bc15a7dbd857f | [
"MIT"
] | null | null | null | v3.py | dr-yali/Bone-MRI | 54c50b2da26190575ad0913f715bc15a7dbd857f | [
"MIT"
] | null | null | null | import os
import numpy as np
import math
from keras import applications
from keras import optimizers
from keras.models import Sequential, Model
from keras.layers import Dropout, Flatten, Dense, Input, concatenate
from keras import backend as k
from keras.callbacks import ModelCheckpoint, LearningRateScheduler, TensorBo... | 35.830986 | 146 | 0.659198 |
9e206a84e9657633da20848df1d17b2d2082b68e | 2,800 | py | Python | test/testframework/generator/generator.py | 5GExchange/escape | eb35d460597a0386b18dd5b6a5f62a3f30eed5fa | [
"Apache-2.0"
] | 10 | 2016-11-16T16:26:16.000Z | 2021-04-26T17:20:28.000Z | test/testframework/generator/generator.py | 5GExchange/escape | eb35d460597a0386b18dd5b6a5f62a3f30eed5fa | [
"Apache-2.0"
] | 3 | 2017-04-20T11:29:17.000Z | 2017-11-06T17:12:12.000Z | test/testframework/generator/generator.py | 5GExchange/escape | eb35d460597a0386b18dd5b6a5f62a3f30eed5fa | [
"Apache-2.0"
] | 10 | 2017-03-27T13:58:52.000Z | 2020-06-24T22:42:51.000Z | # Copyright 2017 Balazs Nemeth
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at:
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, s... | 41.791045 | 77 | 0.522143 |
9e20bd5bb8e05c86a4a006fffc90d750412721ac | 5,067 | py | Python | bento/client/api.py | rajKarra69420/bento | 1324189e26acfe3a372882519bd78e037d93997c | [
"BSD-3-Clause"
] | 3 | 2021-12-01T02:11:15.000Z | 2022-02-03T22:45:00.000Z | bento/client/api.py | rajKarra69420/bento | 1324189e26acfe3a372882519bd78e037d93997c | [
"BSD-3-Clause"
] | 4 | 2021-11-27T11:04:36.000Z | 2022-02-17T02:53:21.000Z | bento/client/api.py | rajKarra69420/bento | 1324189e26acfe3a372882519bd78e037d93997c | [
"BSD-3-Clause"
] | 5 | 2021-07-01T20:23:43.000Z | 2022-03-12T18:10:34.000Z | """
Api to interface with a bento server
"""
import socket
from bento.common.protocol import *
class ClientConnection:
"""
represents a connection with a Bento server in order to allow exchanging requests/responses
with a Bento server as well as data with an executing function
"""
def __in... | 33.335526 | 102 | 0.614565 |
9e20ed0df312cfc7138e9d465a75bc02b9febeb0 | 15,256 | py | Python | applications/diario_obra/languages/pl.py | DayvsonWellerson/gotochurchWeb | 7e2cb05d208191b04c93f110e6bef7fad3cd9f88 | [
"BSD-3-Clause"
] | null | null | null | applications/diario_obra/languages/pl.py | DayvsonWellerson/gotochurchWeb | 7e2cb05d208191b04c93f110e6bef7fad3cd9f88 | [
"BSD-3-Clause"
] | null | null | null | applications/diario_obra/languages/pl.py | DayvsonWellerson/gotochurchWeb | 7e2cb05d208191b04c93f110e6bef7fad3cd9f88 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
{
'!langcode!': 'pl',
'!langname!': 'Polska',
'"update" is an optional expression like "field1=\'newvalue\'". You cannot update or delete the results of a JOIN': '"Uaktualnij" jest dodatkowym wyrażeniem postaci "pole1=\'nowawartość\'". Nie możesz uaktualnić lub usunąć wyników z JOIN:',
'%s %%{ro... | 52.246575 | 280 | 0.665705 |
9e20f00ce9e61d4625eac08cb362a57ba5cc2566 | 998 | py | Python | CourseraMOOCdbTranslate/program/piping_scripts/queries/coursera/forums.py | rcmurray/WorkflowComponents | 368f8132ce5bef3ac3fb9d8e1a13a08f91764cfa | [
"BSD-4-Clause-UC"
] | 26 | 2016-09-14T18:15:29.000Z | 2021-12-01T20:01:29.000Z | CourseraMOOCdbTranslate/program/piping_scripts/queries/coursera/forums.py | rcmurray/WorkflowComponents | 368f8132ce5bef3ac3fb9d8e1a13a08f91764cfa | [
"BSD-4-Clause-UC"
] | 122 | 2017-09-12T15:22:03.000Z | 2021-09-27T17:25:08.000Z | CourseraMOOCdbTranslate/program/piping_scripts/queries/coursera/forums.py | rcmurray/WorkflowComponents | 368f8132ce5bef3ac3fb9d8e1a13a08f91764cfa | [
"BSD-4-Clause-UC"
] | 17 | 2017-02-16T16:04:41.000Z | 2021-02-06T05:36:44.000Z | from utilities import db, moocdb_utils
from common import *
def GetForums(vars):
# DB connections
# --------------
s = vars['source']
forum_db_selector = db.Selector(s['host'], s['user'], s['password'], s['port'], s['forum_db'])
output_items = []
resource_type_id = moocdb_utils.GetResource... | 36.962963 | 126 | 0.62024 |
9e21369521692bbf05521efcc6ffe2a627820a84 | 108,534 | py | Python | google/appengine/tools/devappserver2/module_test.py | thejeshgn/google_appengine | c226e7587ce80bdb7e243a1d4a19bc77535cf557 | [
"Apache-2.0"
] | null | null | null | google/appengine/tools/devappserver2/module_test.py | thejeshgn/google_appengine | c226e7587ce80bdb7e243a1d4a19bc77535cf557 | [
"Apache-2.0"
] | null | null | null | google/appengine/tools/devappserver2/module_test.py | thejeshgn/google_appengine | c226e7587ce80bdb7e243a1d4a19bc77535cf557 | [
"Apache-2.0"
] | 2 | 2019-01-13T07:58:35.000Z | 2020-11-04T04:55:35.000Z | #!/usr/bin/env python
#
# Copyright 2007 Google 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 o... | 36.728934 | 90 | 0.673568 |
9e213adaadf8613d7faea1c7115f5176be5e71e1 | 1,366 | py | Python | continuum/datasets/LSUN.py | TLESORT/Continual_Learning_Data_Former | 51b43d770d97e441bb6e63e0a568c2f3d5bc8866 | [
"MIT"
] | 34 | 2019-07-25T13:22:29.000Z | 2021-04-25T02:12:04.000Z | continuum/datasets/LSUN.py | TLESORT/Continual_Learning_Data_Former | 51b43d770d97e441bb6e63e0a568c2f3d5bc8866 | [
"MIT"
] | null | null | null | continuum/datasets/LSUN.py | TLESORT/Continual_Learning_Data_Former | 51b43d770d97e441bb6e63e0a568c2f3d5bc8866 | [
"MIT"
] | 4 | 2019-07-26T03:24:27.000Z | 2020-06-13T08:01:37.000Z | import torch
from torchvision import datasets, transforms
def load_LSUN():
transform = transforms.Compose([
transforms.Resize((64, 64)),
transforms.ToTensor(),
transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)),
])
dataset_train = datasets.LSUN(root='/slowdata/LSUN',
... | 35.025641 | 101 | 0.596633 |
9e213c49b4b955527a8b9733c22a73a9488622da | 2,179 | py | Python | tests/test_signal_handler.py | aubreystarktoller/django-babik-shadow-accounts | c321534a3673bf6c3bdd0092d6ef15d5e88ed6f6 | [
"BSD-3-Clause"
] | null | null | null | tests/test_signal_handler.py | aubreystarktoller/django-babik-shadow-accounts | c321534a3673bf6c3bdd0092d6ef15d5e88ed6f6 | [
"BSD-3-Clause"
] | null | null | null | tests/test_signal_handler.py | aubreystarktoller/django-babik-shadow-accounts | c321534a3673bf6c3bdd0092d6ef15d5e88ed6f6 | [
"BSD-3-Clause"
] | null | null | null | from django.contrib.auth import get_user_model
from django.test import TestCase, override_settings
from babik_shadow_accounts import get_shadow_account_model
class BabikAccountsTestCase(TestCase):
def test_account_created_on_user_save(self):
UserModel = get_user_model()
user = UserModel.objects.cr... | 31.57971 | 71 | 0.648922 |
9e2145533bca92a7cd2a7ca02657dcd78361ec68 | 5,253 | py | Python | ytmp3.py | ciex/ytmp3 | 7607ed3dd0dc4d185a9a7becbed3a822d8682b2e | [
"MIT"
] | 2 | 2018-03-02T18:17:45.000Z | 2020-04-13T16:15:05.000Z | ytmp3.py | ciex/ytmp3 | 7607ed3dd0dc4d185a9a7becbed3a822d8682b2e | [
"MIT"
] | null | null | null | ytmp3.py | ciex/ytmp3 | 7607ed3dd0dc4d185a9a7becbed3a822d8682b2e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Download YouTube links from a chrome bookmark folder and save as MP3s."""
import json
import re
import youtube_dl
import click
from os import path, walk
from datetime import datetime
from time import sleep
from pathlib import Path
from firefox import FirefoxScanner
#
# brew install youtub... | 28.548913 | 103 | 0.609176 |
9e21757db3ef70af6dbdc37aba1abc19adb0363f | 9,462 | py | Python | demo/xmlproc/dtd2schema.py | jkloth/pyxml | de15b3ad0fe095f6ce36b1c5ad7438046aae8d3d | [
"MIT"
] | 2 | 2018-05-28T23:01:20.000Z | 2018-05-29T03:59:38.000Z | demo/xmlproc/dtd2schema.py | jkloth/pyxml | de15b3ad0fe095f6ce36b1c5ad7438046aae8d3d | [
"MIT"
] | null | null | null | demo/xmlproc/dtd2schema.py | jkloth/pyxml | de15b3ad0fe095f6ce36b1c5ad7438046aae8d3d | [
"MIT"
] | null | null | null | #!/usr/bin/python
"""
This script converts DTDs to XML Schemas, according to the 20000407 WD.
It can do simple reverse-engineering of attribute groups.
"""
# Todo
# - make better names for attrgroups?
# - make a SchemaWriter class (to hold common references)
# - start doing reverse engineering to create modelGroups?
... | 28.5 | 80 | 0.579687 |
9e218fdf7d6e86fd024b973af09a557762f7a1cc | 5,847 | py | Python | working/main_analysis/process_visapy_mea.py | tjd2002/spikeforest2 | 2e393564b858b2995aa2ccccd9bd73065681b5de | [
"Apache-2.0"
] | null | null | null | working/main_analysis/process_visapy_mea.py | tjd2002/spikeforest2 | 2e393564b858b2995aa2ccccd9bd73065681b5de | [
"Apache-2.0"
] | null | null | null | working/main_analysis/process_visapy_mea.py | tjd2002/spikeforest2 | 2e393564b858b2995aa2ccccd9bd73065681b5de | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
import spikeforest_analysis as sa
from cairio import client as ca
import spikeextractors as se
import os
import shutil
import spikeforest as sf
import numpy as np
import pytest
def main():
ca.autoConfig(collection='spikeforest',
key='spikeforest2-readwrite',
... | 27.842857 | 103 | 0.618095 |
9e21989ba6e8f827d818e83d69b811345ff396d3 | 3,284 | py | Python | examples/hacker_news/hacker_news/ops/id_range_for_time.py | kstennettlull/dagster | dd6f57e170ff03bf145f1dd1417e0b2c3156b1d6 | [
"Apache-2.0"
] | null | null | null | examples/hacker_news/hacker_news/ops/id_range_for_time.py | kstennettlull/dagster | dd6f57e170ff03bf145f1dd1417e0b2c3156b1d6 | [
"Apache-2.0"
] | null | null | null | examples/hacker_news/hacker_news/ops/id_range_for_time.py | kstennettlull/dagster | dd6f57e170ff03bf145f1dd1417e0b2c3156b1d6 | [
"Apache-2.0"
] | 1 | 2019-09-11T03:02:27.000Z | 2019-09-11T03:02:27.000Z | from datetime import datetime, timezone
from typing import Tuple
from dagster import MetadataEntry, Out, Output, check, op
def binary_search_nearest_left(get_value, start, end, min_target):
mid = (start + end) // 2
while start <= end:
mid = (start + end) // 2
mid_timestamp = get_value(mid)
... | 30.407407 | 109 | 0.661389 |
9e21bcd767d7af8a887fa1af1b4e7c84c915ade2 | 793 | py | Python | PythonProjects/99-CapstoneProject-202020-DavidAndVIbha/person2_run_robot_code.py | much2mutch/csse120-public | 4f862a6deb7a5373fb5723fb2a23e4042e4d4157 | [
"MIT"
] | null | null | null | PythonProjects/99-CapstoneProject-202020-DavidAndVIbha/person2_run_robot_code.py | much2mutch/csse120-public | 4f862a6deb7a5373fb5723fb2a23e4042e4d4157 | [
"MIT"
] | null | null | null | PythonProjects/99-CapstoneProject-202020-DavidAndVIbha/person2_run_robot_code.py | much2mutch/csse120-public | 4f862a6deb7a5373fb5723fb2a23e4042e4d4157 | [
"MIT"
] | null | null | null | """
Use this module to run code that should run on your ROBOT.
ALWAYS run THIS module for robot code,
NOT the ones in any of the SUB-FOLDERS.
"""
import project2_individual.run_this_on_ROBOT as run_on_robot
def main():
""" Runs the ROBOT main function. """
run_on_robot.main()
# ----------------------------... | 28.321429 | 79 | 0.564943 |
9e21c9f551f305c3a9ee0b6885b39251cfaeb7c3 | 1,629 | py | Python | tests/cryptography/test_diffie_hellman.py | JASTYN/pythonmaster | 46638ab09d28b65ce5431cd0759fe6df272fb85d | [
"Apache-2.0",
"MIT"
] | 3 | 2017-05-02T10:28:13.000Z | 2019-02-06T09:10:11.000Z | tests/cryptography/test_diffie_hellman.py | JASTYN/pythonmaster | 46638ab09d28b65ce5431cd0759fe6df272fb85d | [
"Apache-2.0",
"MIT"
] | 2 | 2017-06-21T20:39:14.000Z | 2020-02-25T10:28:57.000Z | tests/cryptography/test_diffie_hellman.py | JASTYN/pythonmaster | 46638ab09d28b65ce5431cd0759fe6df272fb85d | [
"Apache-2.0",
"MIT"
] | 2 | 2016-07-29T04:35:22.000Z | 2017-01-18T17:05:36.000Z | import unittest
from cryptography.diffie_hellman import private_key, secret, public_key
class DiffieHellmanTest(unittest.TestCase):
def test_private_key_is_in_range(self):
primes = [5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47]
for i in primes:
self.assertTrue(1 < private_key(i) ... | 29.618182 | 71 | 0.645795 |
9e21d0aa18a134f7849273d80d5d71370118f692 | 11,136 | py | Python | dis_snek/models/discord/embed.py | ShardlessBun/Dis-Snek | fd15b06c531e82a9682a7b139deec0df7b2aa2d0 | [
"MIT"
] | null | null | null | dis_snek/models/discord/embed.py | ShardlessBun/Dis-Snek | fd15b06c531e82a9682a7b139deec0df7b2aa2d0 | [
"MIT"
] | null | null | null | dis_snek/models/discord/embed.py | ShardlessBun/Dis-Snek | fd15b06c531e82a9682a7b139deec0df7b2aa2d0 | [
"MIT"
] | null | null | null | from datetime import datetime
from typing import Any, Dict, List, Optional, Union
import attr
from attr import setters
from attr.validators import instance_of
from attr.validators import optional as v_optional
from dis_snek.client.const import (
EMBED_MAX_NAME_LENGTH,
EMBED_MAX_FIELDS,
EMBED_MAX_DESC_LENG... | 32.372093 | 122 | 0.645384 |
9e21d907b0e9df219dc135930d1a16868d5bbfc1 | 1,563 | py | Python | tests/test_logs.py | NGalandim/roboai-python-cli | 2e2a4c82a0294dd9a43eb85ebb452791abcba8d8 | [
"MIT"
] | 3 | 2020-10-21T11:11:28.000Z | 2022-02-11T18:00:48.000Z | tests/test_logs.py | NGalandim/roboai-python-cli | 2e2a4c82a0294dd9a43eb85ebb452791abcba8d8 | [
"MIT"
] | 35 | 2020-10-21T16:36:47.000Z | 2021-11-04T12:45:39.000Z | tests/test_logs.py | NGalandim/roboai-python-cli | 2e2a4c82a0294dd9a43eb85ebb452791abcba8d8 | [
"MIT"
] | 2 | 2020-10-13T10:48:48.000Z | 2022-02-11T16:30:35.000Z | from robo_bot_cli.main import cli
from click.testing import CliRunner
from os import chdir, getcwd
cwd = None
def setup_module(module):
global cwd
cwd = getcwd()
runner = CliRunner()
result = runner.invoke(cli, ['environment', 'activate', 'integration'])
assert result.exit_code == 0
assert... | 24.809524 | 105 | 0.692898 |
9e21deb6ffc1b67ade7908a75ba7e647e45520a6 | 348 | py | Python | foresight/pytest_integration/constants.py | thundra-io/thundra-agent-python | 448e18c17d8730c381b2e2a773782cf80c5a7cfb | [
"Apache-2.0"
] | 15 | 2021-07-28T08:03:50.000Z | 2021-11-08T08:36:06.000Z | foresight/pytest_integration/constants.py | thundra-io/thundra-agent-python | 448e18c17d8730c381b2e2a773782cf80c5a7cfb | [
"Apache-2.0"
] | 1 | 2021-08-08T07:45:45.000Z | 2021-08-08T12:41:36.000Z | foresight/pytest_integration/constants.py | thundra-io/thundra-agent-python | 448e18c17d8730c381b2e2a773782cf80c5a7cfb | [
"Apache-2.0"
] | 3 | 2021-08-07T14:19:23.000Z | 2021-12-08T15:35:40.000Z | THUNDRA_MARKED_AS_SKIPPED = "thundra_marked_as_skipped"
THUNDRA_TEST_ALREADY_FINISHED = "thundra_test_already_finished"
THUNDRA_TEST_STARTED = "thundra_test_started"
THUNDRA_TEST_RESULTED = "thundra_test_resulted"
THUNDRA_TEST_FINISH_IN_HELPER = "thundra_test_finish_in_helper"
THUNDRA_FIXTURE_PREFIX = "x_thundra"
THUND... | 49.714286 | 63 | 0.876437 |
9e21f1f9b7f12cd1d352c90e5ecae7e1a944ac38 | 1,102 | py | Python | src/test/python/testGraphJson.py | shuangshuangwang/SMV | 021faece3f0fefca6051df8415789b14bc9a60ed | [
"Apache-2.0"
] | null | null | null | src/test/python/testGraphJson.py | shuangshuangwang/SMV | 021faece3f0fefca6051df8415789b14bc9a60ed | [
"Apache-2.0"
] | null | null | null | src/test/python/testGraphJson.py | shuangshuangwang/SMV | 021faece3f0fefca6051df8415789b14bc9a60ed | [
"Apache-2.0"
] | null | null | null | #
# This file is licensed under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distr... | 33.393939 | 74 | 0.699637 |
9e21fcd7a4a6ae65bcfe28c8844477869653aa3e | 2,910 | py | Python | userbot/_core.py | sethgld/userbotseth | 2994aa84be57aed8ab036ed6f59342d9ca2f3cb2 | [
"MIT"
] | null | null | null | userbot/_core.py | sethgld/userbotseth | 2994aa84be57aed8ab036ed6f59342d9ca2f3cb2 | [
"MIT"
] | null | null | null | userbot/_core.py | sethgld/userbotseth | 2994aa84be57aed8ab036ed6f59342d9ca2f3cb2 | [
"MIT"
] | null | null | null | from userbot import bot
from telethon import events
from userbot.utils import command, remove_plugin, load_module
from var import Var
import importlib
from pathlib import Path
from userbot import LOAD_PLUG
import sys
import asyncio
import traceback
import os
import userbot.utils
from datetime import datetime
DELETE_TI... | 33.448276 | 103 | 0.653608 |
9e221a83a7878d3f8edfe1f0149837871c4205f5 | 6,187 | py | Python | aiotdlib/api/types/search_messages_filter.py | pylakey/pytdlib | a390a298a24a7123f3f3aec9f995dee6d51a478e | [
"MIT"
] | 37 | 2021-05-04T10:41:41.000Z | 2022-03-30T13:48:05.000Z | aiotdlib/api/types/search_messages_filter.py | pylakey/pytdlib | a390a298a24a7123f3f3aec9f995dee6d51a478e | [
"MIT"
] | 13 | 2021-07-17T19:54:51.000Z | 2022-02-26T06:50:00.000Z | aiotdlib/api/types/search_messages_filter.py | pylakey/pytdlib | a390a298a24a7123f3f3aec9f995dee6d51a478e | [
"MIT"
] | 7 | 2021-09-22T21:27:11.000Z | 2022-02-20T02:33:19.000Z | # =============================================================================== #
# #
# This file has been generated automatically!! Do not change this manually! #
# ... | 27.135965 | 233 | 0.673024 |
9e2241530c77fbea168d68267e0f514401405581 | 7,931 | py | Python | test/algo/nas/test_space_hub_oneshot.py | Microsoft/nni | b99e26833287c901f6d808d07ea6882014b05f58 | [
"MIT"
] | 2,305 | 2018-09-07T12:42:26.000Z | 2019-05-06T20:14:24.000Z | test/algo/nas/test_space_hub_oneshot.py | Eurus-Holmes/nni | 45af1d6b79b355d3e013f1eae2f4c193bbd84074 | [
"MIT"
] | 379 | 2018-09-10T10:19:50.000Z | 2019-05-06T18:04:46.000Z | test/algo/nas/test_space_hub_oneshot.py | Eurus-Holmes/nni | 45af1d6b79b355d3e013f1eae2f4c193bbd84074 | [
"MIT"
] | 314 | 2018-09-08T05:36:08.000Z | 2019-05-06T08:48:51.000Z | import logging
import pytest
import numpy as np
import torch
import nni
import nni.retiarii.hub.pytorch as ss
import nni.retiarii.evaluator.pytorch as pl
import nni.retiarii.strategy as stg
from nni.retiarii.experiment.pytorch import RetiariiExperiment, RetiariiExeConfig
from nni.retiarii.hub.pytorch.nasnet import ND... | 32.63786 | 130 | 0.655151 |
9e2247835c90418ac3f1bd0b45e00228423dafbd | 2,596 | py | Python | src/multiplayer/server/lobby.py | MayD524/May-s-2D-Adventure | 4038b1f2fcbddca9ae526fc7ba5e3e3a98d65a7a | [
"MIT"
] | null | null | null | src/multiplayer/server/lobby.py | MayD524/May-s-2D-Adventure | 4038b1f2fcbddca9ae526fc7ba5e3e3a98d65a7a | [
"MIT"
] | null | null | null | src/multiplayer/server/lobby.py | MayD524/May-s-2D-Adventure | 4038b1f2fcbddca9ae526fc7ba5e3e3a98d65a7a | [
"MIT"
] | null | null | null | from ...game_files.projectile import mayProjectile
from ...game_files.gameHandler import GameHandler
from ...game_files.collectables import *
from ...game_files.gameConsts import *
from ...game_files.floor import mayFloor
from ...game_files.player import player
from ...game_files.npc import mayNPC
import json
class g... | 37.085714 | 88 | 0.51926 |
9e2262d4219bc10dea281a7459b8e83a56c15dd3 | 14,992 | py | Python | salt/states/cloud.py | jbq/pkg-salt | b6742e03cbbfb82f4ce7db2e21a3ff31b270cdb3 | [
"Apache-2.0"
] | 1 | 2020-09-16T21:31:02.000Z | 2020-09-16T21:31:02.000Z | salt/states/cloud.py | jbq/pkg-salt | b6742e03cbbfb82f4ce7db2e21a3ff31b270cdb3 | [
"Apache-2.0"
] | null | null | null | salt/states/cloud.py | jbq/pkg-salt | b6742e03cbbfb82f4ce7db2e21a3ff31b270cdb3 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
'''
Using states instead of maps to deploy clouds
=============================================
.. versionadded:: 2014.1.0
Use this minion to spin up a cloud instance:
.. code-block:: yaml
my-ec2-instance:
cloud.profile:
my-ec2-config
'''
from __future__ import absolute_imp... | 31.168399 | 79 | 0.575574 |
9e2287dba036ad4a5a82fe604faa6e9362d2409d | 7,093 | py | Python | sdk/containerservice/azure-mgmt-containerservice/azure/mgmt/containerservice/v2018_03_31/models/managed_cluster_agent_pool_profile_py3.py | pjquirk/azure-sdk-for-python | cbf02ec4f177b96eae1dbbba87c34c2c93880150 | [
"MIT"
] | 1 | 2021-09-07T18:36:04.000Z | 2021-09-07T18:36:04.000Z | sdk/containerservice/azure-mgmt-containerservice/azure/mgmt/containerservice/v2018_03_31/models/managed_cluster_agent_pool_profile_py3.py | pjquirk/azure-sdk-for-python | cbf02ec4f177b96eae1dbbba87c34c2c93880150 | [
"MIT"
] | 2 | 2019-10-02T23:37:38.000Z | 2020-10-02T01:17:31.000Z | azure-mgmt-containerservice/azure/mgmt/containerservice/v2018_03_31/models/managed_cluster_agent_pool_profile_py3.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 ... | 53.734848 | 168 | 0.684337 |
9e22c59d14dfaa696847ea1b2392dd6d9377a5da | 27,314 | py | Python | src/main/python/future/standard_library/__init__.py | tm0nk/cobra-j | daeb85250e63cb21e9c02ecc2acfdf8ba1e44d6b | [
"Apache-2.0"
] | 674 | 2015-11-06T04:22:47.000Z | 2022-02-26T17:31:43.000Z | src/main/python/future/standard_library/__init__.py | tm0nk/cobra-j | daeb85250e63cb21e9c02ecc2acfdf8ba1e44d6b | [
"Apache-2.0"
] | 713 | 2015-11-06T10:48:58.000Z | 2018-11-27T16:32:18.000Z | src/main/python/future/standard_library/__init__.py | tm0nk/cobra-j | daeb85250e63cb21e9c02ecc2acfdf8ba1e44d6b | [
"Apache-2.0"
] | 106 | 2015-12-07T11:21:06.000Z | 2022-03-11T10:58:41.000Z | """
Python 3 reorganized the standard library (PEP 3108). This module exposes
several standard library modules to Python 2 under their new Python 3
names.
It is designed to be used as follows::
from future import standard_library
standard_library.install_aliases()
And then these normal Py3 imports work on bo... | 33.637931 | 99 | 0.61452 |
9e22e923fcb6102ac35801bdf0b64dd71e1dfaaf | 260 | py | Python | ebml/schema/matroska.py | yomguy/python-ebml | 5981ca259e9c586411fd3cbce472ba741dc5dd0d | [
"0BSD"
] | 1 | 2019-10-17T18:21:31.000Z | 2019-10-17T18:21:31.000Z | ebml/schema/matroska.py | yomguy/python-ebml | 5981ca259e9c586411fd3cbce472ba741dc5dd0d | [
"0BSD"
] | null | null | null | ebml/schema/matroska.py | yomguy/python-ebml | 5981ca259e9c586411fd3cbce472ba741dc5dd0d | [
"0BSD"
] | null | null | null | import os.path
from .specs import parse_specdata
_Elements, MatroskaDocument = parse_specdata(os.path.join(os.path.dirname(__file__), 'matroska.xml'), 'MatroskaDocument', 'matroska', 1)
for name, element in _Elements.iteritems():
globals()[name] = element | 28.888889 | 136 | 0.765385 |
9e22f8cf943780ee8b3ff75aba2a2b23348d1c82 | 1,027 | py | Python | cloudify_nsx/cfy_stub.py | cloudify-cosmo/cloudify-nsx-plugin | d7b2abbe384e55aaf47b2c8474ab07f622eb83b5 | [
"Apache-2.0"
] | 2 | 2017-03-08T21:44:54.000Z | 2019-01-16T06:00:16.000Z | cloudify_nsx/cfy_stub.py | cloudify-cosmo/cloudify-nsx-plugin | d7b2abbe384e55aaf47b2c8474ab07f622eb83b5 | [
"Apache-2.0"
] | 3 | 2017-01-26T13:26:31.000Z | 2017-02-03T14:51:45.000Z | cloudify_nsx/cfy_stub.py | cloudify-cosmo/cloudify-nsx-plugin | d7b2abbe384e55aaf47b2c8474ab07f622eb83b5 | [
"Apache-2.0"
] | 5 | 2016-12-28T15:26:02.000Z | 2017-01-30T08:46:10.000Z | ########
# Copyright (c) 2016 GigaSpaces Technologies Ltd. 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... | 30.205882 | 79 | 0.723466 |
9e230c08fad962ff122ed91f3bc64e5bd9f32f3c | 852 | py | Python | conan_package_dep_map/src/db_serializer_if.py | cafesun/expython | fae2db6f343577c3008a533e8adab3ec35ffa313 | [
"MIT"
] | null | null | null | conan_package_dep_map/src/db_serializer_if.py | cafesun/expython | fae2db6f343577c3008a533e8adab3ec35ffa313 | [
"MIT"
] | null | null | null | conan_package_dep_map/src/db_serializer_if.py | cafesun/expython | fae2db6f343577c3008a533e8adab3ec35ffa313 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding:utf8 -*-
from abc import ABC, abstractmethod
class DBSerializerIf(object):
'''数据库抽象接口'''
@abstractmethod
def open(self):
pass
@abstractmethod
def close(self):
pass
@abstractmethod
def set(self):
pass
@abstractmethod
def set... | 16.705882 | 47 | 0.59507 |
9e2358a8392a30bbd50348ab0aa54e71f24da496 | 1,187 | py | Python | testplan/common/exporters/__init__.py | armarti/testplan | 5dcfe5840c0c99e9535cc223230f400fa62802f2 | [
"Apache-2.0"
] | null | null | null | testplan/common/exporters/__init__.py | armarti/testplan | 5dcfe5840c0c99e9535cc223230f400fa62802f2 | [
"Apache-2.0"
] | 64 | 2019-04-15T20:56:40.000Z | 2021-03-23T01:00:30.000Z | testplan/common/exporters/__init__.py | armarti/testplan | 5dcfe5840c0c99e9535cc223230f400fa62802f2 | [
"Apache-2.0"
] | null | null | null | """TODO."""
import inspect
from testplan.common.config import Config, Configurable
from testplan.common.utils.exceptions import format_trace
class ExporterResult(object):
def __init__(self, exporter, type):
self.exporter = exporter
self.type = type
self.traceback = None
@property
... | 22.396226 | 67 | 0.648694 |
9e239a931e3c80690ce2970489ecc9e5dd85b3c5 | 195 | py | Python | netconfig/configurator/queues.py | abheyogy/netconfigurator | 5865c9ceba014bcc3adc1742cf9ee1edaac1eff3 | [
"MIT"
] | null | null | null | netconfig/configurator/queues.py | abheyogy/netconfigurator | 5865c9ceba014bcc3adc1742cf9ee1edaac1eff3 | [
"MIT"
] | null | null | null | netconfig/configurator/queues.py | abheyogy/netconfigurator | 5865c9ceba014bcc3adc1742cf9ee1edaac1eff3 | [
"MIT"
] | null | null | null | """Fetch configuration variables from a message queue."""
class Queues():
"""Decide which message queue to fetch the data from and parse the data into a python friendly format."""
pass
| 27.857143 | 109 | 0.717949 |
9e23bf5db34735debfee965b9d4ddf543b468488 | 2,500 | py | Python | scripts/extract_diagnostic_set_results.py | EMBEDDIA/jiant_slovene | 2f4d79470143af51603dc7257f0c5aeba2e91ac9 | [
"MIT"
] | null | null | null | scripts/extract_diagnostic_set_results.py | EMBEDDIA/jiant_slovene | 2f4d79470143af51603dc7257f0c5aeba2e91ac9 | [
"MIT"
] | null | null | null | scripts/extract_diagnostic_set_results.py | EMBEDDIA/jiant_slovene | 2f4d79470143af51603dc7257f0c5aeba2e91ac9 | [
"MIT"
] | null | null | null | from collections import defaultdict
import argparse
# Pro tip: To copy the results of this script from the terminal in Mac OS,
# use command-alt-shift-c. That'll copy the tabs as tabs, not spaces.
def get_strings(path, row_filter=None):
''' Extract tab-delimited results in a fixed order for each run in a results... | 33.333333 | 100 | 0.5404 |
9e23c6048e5db4e2cdd4b499f694d78cd74c65aa | 5,666 | py | Python | missioncontrol/v0/passes.py | fleetspace/missioncontrol | d7116569b689875f5d149273150c3ce4c1319cd0 | [
"Apache-2.0"
] | 7 | 2019-03-29T06:05:08.000Z | 2021-07-29T07:49:49.000Z | missioncontrol/v0/passes.py | fleetspace/missioncontrol | d7116569b689875f5d149273150c3ce4c1319cd0 | [
"Apache-2.0"
] | 18 | 2019-02-19T05:59:34.000Z | 2021-05-18T03:05:30.000Z | missioncontrol/v0/passes.py | fleetspace/missioncontrol | d7116569b689875f5d149273150c3ce4c1319cd0 | [
"Apache-2.0"
] | 3 | 2019-01-31T02:07:38.000Z | 2019-08-04T14:52:02.000Z | import json
import datetime
from base64 import b64encode, b64decode
from collections import namedtuple
from connexion.exceptions import ProblemException
from itertools import product
from skyfield.api import Loader, Topos, EarthSatellite
from home.leaf import LeafPassFile
from flask import request, Response
from home... | 28.761421 | 86 | 0.664666 |
9e23ce8e6defcac246c1a1169334a04a0d0c9cdf | 14,566 | py | Python | src/cogs/run.py | Kev-in123/piston-bot | 92f2d065c0d05c9fcb7247a44b5d69009240dcc0 | [
"MIT"
] | null | null | null | src/cogs/run.py | Kev-in123/piston-bot | 92f2d065c0d05c9fcb7247a44b5d69009240dcc0 | [
"MIT"
] | null | null | null | src/cogs/run.py | Kev-in123/piston-bot | 92f2d065c0d05c9fcb7247a44b5d69009240dcc0 | [
"MIT"
] | null | null | null | """This is a cog for a discord.py bot.
It will add the run command for everyone to use
Commands:
run Run code using the Piston API
"""
# pylint: disable=E0402
import json
import re
from dataclasses import dataclass
from discord import Embed, Message, errors as discord_errors
from discord.ext import com... | 37.253197 | 105 | 0.584718 |
9e23d57790f6671a6d8e2331813f88896fece341 | 5,079 | py | Python | thenewboston_node/business_logic/models/mixins/compactable.py | led76marx/thenewboston-node | 527a19615ae57f6b2940e583b5dc1a9da3b468f5 | [
"MIT"
] | null | null | null | thenewboston_node/business_logic/models/mixins/compactable.py | led76marx/thenewboston-node | 527a19615ae57f6b2940e583b5dc1a9da3b468f5 | [
"MIT"
] | null | null | null | thenewboston_node/business_logic/models/mixins/compactable.py | led76marx/thenewboston-node | 527a19615ae57f6b2940e583b5dc1a9da3b468f5 | [
"MIT"
] | null | null | null | import logging
import typing
import msgpack
from thenewboston_node.core.utils.collections import replace_keys
from thenewboston_node.core.utils.types import hexstr
from thenewboston_node.core.utils.typing import unwrap_optional
from .serializable import SerializableMixin
COMPACT_KEY_MAP = {
# account root file
... | 30.596386 | 104 | 0.687734 |
9e2408677835fe3195450bb3f0a707dfaf282cbb | 1,690 | py | Python | tests/petstore-full/petstore_full/service/pet/by_pet_id/post.py | ppentchev/openapi-client-generator | a058af4ec28a1e53809273a662fb8cba0157695e | [
"MIT"
] | 6 | 2021-01-16T21:36:43.000Z | 2022-01-24T10:21:14.000Z | tests/petstore-full/petstore_full/service/pet/by_pet_id/post.py | ppentchev/openapi-client-generator | a058af4ec28a1e53809273a662fb8cba0157695e | [
"MIT"
] | 11 | 2021-01-17T00:05:44.000Z | 2022-01-23T16:13:56.000Z | tests/petstore-full/petstore_full/service/pet/by_pet_id/post.py | ppentchev/openapi-client-generator | a058af4ec28a1e53809273a662fb8cba0157695e | [
"MIT"
] | 2 | 2021-11-06T00:07:34.000Z | 2022-01-14T01:35:06.000Z | """ Auto-generated by openapi-client-generator
https://github.com/avanov/openapi-client-generator
"""
from enum import Enum
from typing import NamedTuple, Callable, Optional, Type, Mapping, Union
from petstore_full.common import http
from petstore_full.common.types import *
__all__ = (
"call",
"Params",
... | 19.425287 | 73 | 0.694675 |
9e244ec4cffaab7a6d72da7be848c69d17c798f5 | 7,075 | py | Python | classification/slim/compress.py | SunAhong1993/sz-demo | bc5e301f7d235c00ce21d4ad64f2af038b27478a | [
"Apache-2.0"
] | 1 | 2019-09-25T03:42:57.000Z | 2019-09-25T03:42:57.000Z | classification/slim/compress.py | SunAhong1993/sz-demo | bc5e301f7d235c00ce21d4ad64f2af038b27478a | [
"Apache-2.0"
] | null | null | null | classification/slim/compress.py | SunAhong1993/sz-demo | bc5e301f7d235c00ce21d4ad64f2af038b27478a | [
"Apache-2.0"
] | 2 | 2019-09-16T02:03:49.000Z | 2019-09-16T12:21:47.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import time
import sys
import logging
import paddle
import models
import argparse
import functools
import paddle.fluid as fluid
import reader
from utility import add_arguments, print_arguments
from pa... | 45.352564 | 127 | 0.65583 |
9e247915e0479b0151a10c211f370e172e7bda26 | 6,102 | py | Python | profiler/profiler/profiler.py | CMofjeld/Edge-Intelligence | 5ed3eec4d559b29673c936e53d0653408bedf9f4 | [
"MIT"
] | null | null | null | profiler/profiler/profiler.py | CMofjeld/Edge-Intelligence | 5ed3eec4d559b29673c936e53d0653408bedf9f4 | [
"MIT"
] | null | null | null | profiler/profiler/profiler.py | CMofjeld/Edge-Intelligence | 5ed3eec4d559b29673c936e53d0653408bedf9f4 | [
"MIT"
] | null | null | null | """Measure and analyze inference time for a tensorflow model with different batch sizes."""
import argparse
import csv
import json
import time
from typing import List, Tuple
import numpy as np
import sklearn.linear_model
import tensorflow as tf
def record_model_inference_times(
model,
batch_params: Tuple[int... | 32.285714 | 105 | 0.651426 |
9e248f7636c032f0a1072e8f3bbbc32d7d776283 | 9,894 | py | Python | models/AlexNetConverter.py | SimuJenni/Correspondences | 384c0272e438ad3e7c936f5ae78fe6154b188c54 | [
"MIT"
] | null | null | null | models/AlexNetConverter.py | SimuJenni/Correspondences | 384c0272e438ad3e7c936f5ae78fe6154b188c54 | [
"MIT"
] | null | null | null | models/AlexNetConverter.py | SimuJenni/Correspondences | 384c0272e438ad3e7c936f5ae78fe6154b188c54 | [
"MIT"
] | null | null | null | import pickle
import os
import tensorflow as tf
import numpy as np
slim = tf.contrib.slim
class AlexNetConverter:
def __init__(self, model_dir, model, sess, remove_bn=False, ckpt=None, net_id='discriminator', scale=1.0, bgr=False,
exclude=None, with_fc=False, im_size=(227, 227), use_classifier=... | 43.585903 | 120 | 0.611482 |
9e24de66d5ee58caee11160150894383d0ed7d1f | 41,671 | py | Python | test/test_pickled_data.py | Matuiss2/python-sc2 | dd93215d8b09b7ddacfd5c3cc4e9f43641d3f953 | [
"MIT"
] | null | null | null | test/test_pickled_data.py | Matuiss2/python-sc2 | dd93215d8b09b7ddacfd5c3cc4e9f43641d3f953 | [
"MIT"
] | null | null | null | test/test_pickled_data.py | Matuiss2/python-sc2 | dd93215d8b09b7ddacfd5c3cc4e9f43641d3f953 | [
"MIT"
] | null | null | null | import sys, os
sys.path.append(os.path.join(os.path.dirname(__file__), ".."))
from sc2.game_data import GameData
from sc2.game_info import GameInfo
from sc2.game_info import Ramp
from sc2.game_state import GameState
from sc2.bot_ai import BotAI
from sc2.units import Units
from sc2.unit import Unit
from sc2.position i... | 41.629371 | 286 | 0.735404 |
9e24f9db4a2cf95de8f83ca4f010b3de364904dd | 7,125 | py | Python | devito/finite_differences/differentiable.py | cc-a/devito | 24ede9131473f69c1e44ba3b852f8654d3fd953e | [
"MIT"
] | null | null | null | devito/finite_differences/differentiable.py | cc-a/devito | 24ede9131473f69c1e44ba3b852f8654d3fd953e | [
"MIT"
] | null | null | null | devito/finite_differences/differentiable.py | cc-a/devito | 24ede9131473f69c1e44ba3b852f8654d3fd953e | [
"MIT"
] | 1 | 2020-01-13T01:17:24.000Z | 2020-01-13T01:17:24.000Z | from collections import ChainMap
import sympy
from sympy.functions.elementary.integers import floor
from sympy.core.evalf import evalf_table
from cached_property import cached_property
from devito.tools import Evaluable, filter_ordered, flatten
__all__ = ['Differentiable']
class Differentiable(sympy.Expr, Evaluab... | 31.526549 | 87 | 0.654175 |
9e25018aefff179efac701891a5dfbb5ab52e419 | 298 | py | Python | src/ggrc/settings/testing_api_search_db.py | Killswitchz/ggrc-core | 2460df94daf66727af248ad821462692917c97a9 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | src/ggrc/settings/testing_api_search_db.py | Killswitchz/ggrc-core | 2460df94daf66727af248ad821462692917c97a9 | [
"ECL-2.0",
"Apache-2.0"
] | 10 | 2018-07-06T00:04:23.000Z | 2021-02-26T21:13:20.000Z | src/ggrc/settings/testing_api_search_db.py | Killswitchz/ggrc-core | 2460df94daf66727af248ad821462692917c97a9 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2017-11-11T22:16:56.000Z | 2017-11-11T22:16:56.000Z | # Copyright (C) 2017 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
"""Api search test settings."""
import os
SQLALCHEMY_DATABASE_URI = 'mysql+mysqldb://root:root@{}/ggrcdevtest_apisearch'\
.format(os.environ.get('GGRC_DATABASE_HOST', 'localhost'))
| 37.25 | 79 | 0.741611 |
9e2506b0ac255b6cbb904173f3253e8fb5b19953 | 1,533 | py | Python | attitude/error/__init__.py | davenquinn/Attitude | f7cd15212ca7a2f9a0e367cf9769e382eeaea91e | [
"MIT"
] | 8 | 2015-03-24T09:08:32.000Z | 2021-05-17T03:32:01.000Z | attitude/error/__init__.py | davenquinn/Attitude | f7cd15212ca7a2f9a0e367cf9769e382eeaea91e | [
"MIT"
] | 3 | 2018-03-16T07:38:26.000Z | 2022-02-15T06:07:54.000Z | attitude/error/__init__.py | davenquinn/Attitude | f7cd15212ca7a2f9a0e367cf9769e382eeaea91e | [
"MIT"
] | null | null | null | from __future__ import division
import numpy as N
from ..geom.util import dot, augment_tensor
from ..geom.util import vector, plane, angle
def error_bounds(hyp_errors):
nominal, width = hyp_errors
return nominal-width, nominal+width
def asymptotes(hyp, n=1000):
"""
Gets a cone of asymptotes for hype... | 26.431034 | 68 | 0.679061 |
9e2510efa84adf20ec51d639fb402d40af295ae9 | 39 | py | Python | vmg30/tools/__init__.py | ikalevatykh/vmg30 | 2d36e488942a7d2075cd829252b72721a35da19d | [
"MIT"
] | 1 | 2020-07-08T09:52:42.000Z | 2020-07-08T09:52:42.000Z | vmg30/tools/__init__.py | ikalevatykh/vmg30 | 2d36e488942a7d2075cd829252b72721a35da19d | [
"MIT"
] | null | null | null | vmg30/tools/__init__.py | ikalevatykh/vmg30 | 2d36e488942a7d2075cd829252b72721a35da19d | [
"MIT"
] | null | null | null | """Help scripts to manage VR glove."""
| 19.5 | 38 | 0.666667 |
9e2521b67546d559f0c25fb37c3b421f3b5710be | 1,425 | py | Python | ufora/scripts/rebuildAxiomSearchFunction.py | ufora/ufora | 04db96ab049b8499d6d6526445f4f9857f1b6c7e | [
"Apache-2.0",
"CC0-1.0",
"MIT",
"BSL-1.0",
"BSD-3-Clause"
] | 571 | 2015-11-05T20:07:07.000Z | 2022-01-24T22:31:09.000Z | ufora/scripts/rebuildAxiomSearchFunction.py | timgates42/ufora | 04db96ab049b8499d6d6526445f4f9857f1b6c7e | [
"Apache-2.0",
"CC0-1.0",
"MIT",
"BSL-1.0",
"BSD-3-Clause"
] | 218 | 2015-11-05T20:37:55.000Z | 2021-05-30T03:53:50.000Z | ufora/scripts/rebuildAxiomSearchFunction.py | timgates42/ufora | 04db96ab049b8499d6d6526445f4f9857f1b6c7e | [
"Apache-2.0",
"CC0-1.0",
"MIT",
"BSL-1.0",
"BSD-3-Clause"
] | 40 | 2015-11-07T21:42:19.000Z | 2021-05-23T03:48:19.000Z | #!/usr/bin/env python
# Copyright 2015 Ufora 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 applic... | 30.978261 | 86 | 0.73614 |
9e253bd0a7264207b37ac12c87bcf3e7e517eddb | 1,819 | py | Python | src/crawl/unicrawl/spiders/hel_programs.py | VictorLeP/Education4Climate | 7d419c96c759da2215504ac9051dd6f61d940b96 | [
"MIT"
] | 4 | 2021-09-24T16:17:57.000Z | 2022-01-31T17:32:16.000Z | src/crawl/unicrawl/spiders/hel_programs.py | VictorLeP/Education4Climate | 7d419c96c759da2215504ac9051dd6f61d940b96 | [
"MIT"
] | 23 | 2021-08-02T07:38:47.000Z | 2022-02-11T14:16:56.000Z | src/crawl/unicrawl/spiders/hel_programs.py | VictorLeP/Education4Climate | 7d419c96c759da2215504ac9051dd6f61d940b96 | [
"MIT"
] | 3 | 2021-11-20T06:06:44.000Z | 2022-03-11T07:44:43.000Z | # -*- coding: utf-8 -*-
from abc import ABC
from pathlib import Path
import scrapy
from settings import YEAR, CRAWLING_OUTPUT_FOLDER
# BASE_URL = f"http://p4580.phpnet.org/{YEAR}-{YEAR+1}/" -> worked for 2020-21
BASE_URL = "https://helue.azurewebsites.net/ListingPub"
class HELProgramSpider(scrapy.Spider, ABC):
... | 34.980769 | 120 | 0.542056 |
9e253fcfc740acf39589ead3247556330534eee7 | 6,213 | py | Python | stable_baselines/gail/adversary.py | jfsantos/stable-baselines | 5bd4ffa98e364b9e8e8b4e64bc2d1be9b6e4897a | [
"MIT"
] | null | null | null | stable_baselines/gail/adversary.py | jfsantos/stable-baselines | 5bd4ffa98e364b9e8e8b4e64bc2d1be9b6e4897a | [
"MIT"
] | null | null | null | stable_baselines/gail/adversary.py | jfsantos/stable-baselines | 5bd4ffa98e364b9e8e8b4e64bc2d1be9b6e4897a | [
"MIT"
] | 1 | 2019-12-25T16:45:54.000Z | 2019-12-25T16:45:54.000Z | """
Reference: https://github.com/openai/imitation
I follow the architecture from the official repository
"""
import tensorflow as tf
import numpy as np
from stable_baselines.common.mpi_running_mean_std import RunningMeanStd
from stable_baselines.common import tf_util as tf_util
def logsigmoid(input_tensor):
"""... | 44.697842 | 119 | 0.647835 |
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