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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6cccae7fad14badcd9d04577d27f28d557fe726e | 212 | py | Python | visualizing_russian_tools/wsgi.py | arthurian/visualizing_russian_tools | 65fd37839dc0650bb25d1f98904da5b79ae1a754 | [
"BSD-3-Clause"
] | 2 | 2020-07-10T14:17:03.000Z | 2020-11-17T09:18:26.000Z | visualizing_russian_tools/wsgi.py | eelegiap/visualizing_russian_tools | 9c36baebc384133c7c27d7a7c4e0cedc8cb84e74 | [
"BSD-3-Clause"
] | 13 | 2019-03-17T13:27:31.000Z | 2022-01-18T17:03:14.000Z | visualizing_russian_tools/wsgi.py | eelegiap/visualizing_russian_tools | 9c36baebc384133c7c27d7a7c4e0cedc8cb84e74 | [
"BSD-3-Clause"
] | 2 | 2019-10-19T16:37:44.000Z | 2020-06-22T13:30:20.000Z | """WSGI config."""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'visualizing_russian_tools.settings.local')
application = get_wsgi_application()
| 21.2 | 91 | 0.811321 |
e6dc044dbc933e427b91aab0bc5b1f1fa4dc6c14 | 6,750 | py | Python | examples/librispeech/evaluation/eval_ensemble8_ctc.py | sundogrd/tensorflow_end2end_speech_recognition | 61e4a65fb5c9f3d9f690d713dcd77a48b1de0a14 | [
"MIT"
] | 351 | 2017-05-27T08:31:27.000Z | 2022-03-03T16:47:27.000Z | examples/librispeech/evaluation/eval_ensemble8_ctc.py | eLavin11/tensorflow_end2end_speech_recognition | 65b9728089d5e92b25b92384a67419d970399a64 | [
"MIT"
] | 19 | 2017-07-19T13:12:18.000Z | 2019-06-12T06:07:13.000Z | examples/librispeech/evaluation/eval_ensemble8_ctc.py | eLavin11/tensorflow_end2end_speech_recognition | 65b9728089d5e92b25b92384a67419d970399a64 | [
"MIT"
] | 127 | 2017-06-12T16:27:21.000Z | 2021-12-29T02:22:34.000Z | #! /usr/bin/env python
# -*- coding: utf-8 -*-
"""Evaluate the ensemble of 8 CTC models (Librispeech corpus)."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from os.path import join, abspath
import sys
import yaml
import argparse
sys.path.append(abspa... | 39.244186 | 84 | 0.642519 |
d4c18a4ba4f803a3f7db76ec1574b182e3a27b0f | 1,654 | py | Python | PollsProjectRest/urls.py | Parth-Shah-99/Polling-Project-API | 6ce7b45d8518a63451ec5cc72ead37a0602eb5f5 | [
"MIT"
] | 1 | 2021-06-29T10:07:13.000Z | 2021-06-29T10:07:13.000Z | PollsProjectRest/urls.py | Parth-Shah-99/Polling-Project-API | 6ce7b45d8518a63451ec5cc72ead37a0602eb5f5 | [
"MIT"
] | null | null | null | PollsProjectRest/urls.py | Parth-Shah-99/Polling-Project-API | 6ce7b45d8518a63451ec5cc72ead37a0602eb5f5 | [
"MIT"
] | null | null | null | """PollsProjectRest URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Cl... | 36.755556 | 108 | 0.713422 |
45603116a29e49121ecf8ed8104d09c6e28caacc | 1,379 | py | Python | ceilometer/api/hooks.py | CiscoSystems/ceilometer | a9267fd94e7854afa0720d761fbe75d946e7167d | [
"Apache-2.0"
] | 1 | 2021-11-22T11:00:53.000Z | 2021-11-22T11:00:53.000Z | ceilometer/api/hooks.py | CiscoSystems/ceilometer | a9267fd94e7854afa0720d761fbe75d946e7167d | [
"Apache-2.0"
] | null | null | null | ceilometer/api/hooks.py | CiscoSystems/ceilometer | a9267fd94e7854afa0720d761fbe75d946e7167d | [
"Apache-2.0"
] | null | null | null | # -*- encoding: utf-8 -*-
#
# Copyright © 2012 New Dream Network, LLC (DreamHost)
#
# Author: Doug Hellmann <doug.hellmann@dreamhost.com>
#
# 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
#
# ... | 30.644444 | 75 | 0.715011 |
619e8c6d280c06b5306f0f76801e66eed1511057 | 882 | py | Python | coding/learn_docker/client_demo.py | yatao91/learning_road | e88dc43de98e35922bfc71c222ec71766851e618 | [
"MIT"
] | 3 | 2021-05-25T16:58:52.000Z | 2022-02-05T09:37:17.000Z | coding/learn_docker/client_demo.py | yataosu/learning_road | e88dc43de98e35922bfc71c222ec71766851e618 | [
"MIT"
] | null | null | null | coding/learn_docker/client_demo.py | yataosu/learning_road | e88dc43de98e35922bfc71c222ec71766851e618 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import docker
# 使用默认的socket连接docker服务
# client = docker.from_env()
client = docker.DockerClient(base_url='tcp://127.0.0.1:2375')
# 指定运行容器
# resp = client.containers.run('hello-world')
# 后台运行container
# resp = client.containers.run('hello-world', detach=True)
#
# print(resp)
# 获取容器列表
contain... | 16.961538 | 61 | 0.695011 |
4791e1de44c8386c2884dee3285db0bf5aa246bb | 2,057 | py | Python | tests/st/ops/ascend/vector/test_invert_001.py | tianjiashuo/akg | a9cbf642063fb1086a93e8bc6be6feb145689817 | [
"Apache-2.0"
] | 286 | 2020-06-23T06:40:44.000Z | 2022-03-30T01:27:49.000Z | tests/st/ops/ascend/vector/test_invert_001.py | tianjiashuo/akg | a9cbf642063fb1086a93e8bc6be6feb145689817 | [
"Apache-2.0"
] | 10 | 2020-07-31T03:26:59.000Z | 2021-12-27T15:00:54.000Z | tests/st/ops/ascend/vector/test_invert_001.py | tianjiashuo/akg | a9cbf642063fb1086a93e8bc6be6feb145689817 | [
"Apache-2.0"
] | 30 | 2020-07-17T01:04:14.000Z | 2021-12-27T14:05:19.000Z | # Copyright 2019 Huawei Technologies Co., Ltd
#
# 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... | 33.177419 | 106 | 0.609626 |
9b55d0f02de68b6a1ac653a8647b455b61b62c48 | 1,251 | py | Python | src/pip/_internal/main.py | Nta1e/pip | 828cbba70fffc3ad1e4eed40c6c47248ca07a827 | [
"MIT"
] | null | null | null | src/pip/_internal/main.py | Nta1e/pip | 828cbba70fffc3ad1e4eed40c6c47248ca07a827 | [
"MIT"
] | null | null | null | src/pip/_internal/main.py | Nta1e/pip | 828cbba70fffc3ad1e4eed40c6c47248ca07a827 | [
"MIT"
] | null | null | null | """Primary application entrypoint.
"""
from __future__ import absolute_import
import locale
import logging
import os
import sys
from pip._internal.cli.autocompletion import autocomplete
from pip._internal.cli.main_parser import parse_command
from pip._internal.commands import create_command
from pip._internal.excepti... | 27.8 | 75 | 0.728217 |
1b33f02720af0faae4b903c50db4103e684b639c | 1,577 | py | Python | inceptor/compilers/CscCompiler.py | pwnmeow/inceptor | 4c1d17b1f29777aaae634c07ad6c4dd8ed61aa01 | [
"BSD-4-Clause"
] | 743 | 2021-08-02T16:27:27.000Z | 2022-03-31T16:34:16.000Z | inceptor/compilers/CscCompiler.py | pwnmeow/inceptor | 4c1d17b1f29777aaae634c07ad6c4dd8ed61aa01 | [
"BSD-4-Clause"
] | 32 | 2021-08-03T04:47:20.000Z | 2022-03-28T23:15:45.000Z | inceptor/compilers/CscCompiler.py | pwnmeow/inceptor | 4c1d17b1f29777aaae634c07ad6c4dd8ed61aa01 | [
"BSD-4-Clause"
] | 138 | 2021-08-02T16:27:28.000Z | 2022-03-31T02:47:20.000Z | from compilers.Compiler import Compiler
from compilers.CompilerExceptions import OperationNotSupported
from config.Config import Config
class CscCompiler(Compiler):
def add_include_directory(self, directory):
pass
def __init__(self, args=None, aargs=None, arch="x64"):
self.config = Config()
... | 28.672727 | 109 | 0.541535 |
108186af5724d4980050bddf8cfa1ff17bbbbf9b | 1,089 | py | Python | ixnetwork_restpy/testplatform/sessions/ixnetwork/traffic/trafficitem/configelement/stack/fCoEPlogiLsAcc_template.py | Vibaswan/ixnetwork_restpy | 239fedc7050890746cbabd71ea1e91c68d9e5cad | [
"MIT"
] | null | null | null | ixnetwork_restpy/testplatform/sessions/ixnetwork/traffic/trafficitem/configelement/stack/fCoEPlogiLsAcc_template.py | Vibaswan/ixnetwork_restpy | 239fedc7050890746cbabd71ea1e91c68d9e5cad | [
"MIT"
] | null | null | null | ixnetwork_restpy/testplatform/sessions/ixnetwork/traffic/trafficitem/configelement/stack/fCoEPlogiLsAcc_template.py | Vibaswan/ixnetwork_restpy | 239fedc7050890746cbabd71ea1e91c68d9e5cad | [
"MIT"
] | null | null | null | from ixnetwork_restpy.base import Base
from ixnetwork_restpy.files import Files
class FCoE_PLOGI_LS_ACC(Base):
__slots__ = ()
_SDM_NAME = 'fCoEPlogiLsAcc'
_SDM_ATT_MAP = {
'FCoE Header': 'fCoEPlogiLsAcc.header.fcoeHeader',
'FC Header': 'fCoEPlogiLsAcc.header.fcHeader',
'FC ELS': 'f... | 32.029412 | 86 | 0.702479 |
b59fa5f55b6c96f2a1d796ad0fc9bc435dc0d9d7 | 2,674 | py | Python | codes/000_visualization.py | baiyuang/Tensorflow-Computer-Vision-Tutorial | 09db553dc23f0edeb8a9b0d51c13d0a27290016a | [
"MIT"
] | 1 | 2021-06-02T01:09:32.000Z | 2021-06-02T01:09:32.000Z | codes/000_visualization.py | Rookie-Eric/Tensorflow-Computer-Vision-Tutorial | 09db553dc23f0edeb8a9b0d51c13d0a27290016a | [
"MIT"
] | null | null | null | codes/000_visualization.py | Rookie-Eric/Tensorflow-Computer-Vision-Tutorial | 09db553dc23f0edeb8a9b0d51c13d0a27290016a | [
"MIT"
] | 1 | 2020-07-23T08:17:20.000Z | 2020-07-23T08:17:20.000Z | import numpy as np
import matplotlib.pyplot as plt
f = np.load('../mnist.npz')
image, label = f['x_train'][7], f['y_train'][7]
def show_conv():
filter = np.array([
[1, 1, 1],
[0, 0, 0],
[-1, -1, -1]])
plt.figure(0, figsize=(9, 5))
ax1 = plt.subplot(121)
ax1.imshow(... | 25.466667 | 116 | 0.450636 |
106c140036dc1733b8eea8ed4eccd1bf0e4f8210 | 4,000 | py | Python | server/app/commits/views.py | jialin-wu-02/aimde | 7a8795df7f9df3be3bb607e5f7888731da837fde | [
"MIT"
] | null | null | null | server/app/commits/views.py | jialin-wu-02/aimde | 7a8795df7f9df3be3bb607e5f7888731da837fde | [
"MIT"
] | null | null | null | server/app/commits/views.py | jialin-wu-02/aimde | 7a8795df7f9df3be3bb607e5f7888731da837fde | [
"MIT"
] | null | null | null | import json
import os
import time
from flask import Blueprint, jsonify, request, \
abort, make_response, send_from_directory
from flask_restful import Api, Resource
from app import App
from app.commits.models import Commit, Tag
from app.commits.utils import get_commits
from services.executables.action import Acti... | 30.075188 | 80 | 0.5675 |
fe0db5ca8accc2f8bb6b38f728c0f269233657e5 | 1,802 | py | Python | chapter/six_exercises.py | sloscal1/ML-Prob-Perspective | 3474faf8559cc2229426ab773460000c6c40fbb3 | [
"MIT"
] | null | null | null | chapter/six_exercises.py | sloscal1/ML-Prob-Perspective | 3474faf8559cc2229426ab773460000c6c40fbb3 | [
"MIT"
] | null | null | null | chapter/six_exercises.py | sloscal1/ML-Prob-Perspective | 3474faf8559cc2229426ab773460000c6c40fbb3 | [
"MIT"
] | null | null | null | def question_1():
r""" Pessimism of LOOCV. I didn't like the question because I thought it was a little too open...
You want to show that LOOCV can be a really bad estimate of error in some situations. For example, if you
have a random class label that you're trying to predict (binary, equal proportions), ... | 64.357143 | 119 | 0.746948 |
40355fe20bdfab65f42f2f5a3e63016466e69c50 | 6,645 | py | Python | mars/dataframe/datastore/to_vineyard.py | perfumescent/mars | 9bf9bb990587cb9f091d108ed7f725fb429a80e8 | [
"Apache-2.0"
] | null | null | null | mars/dataframe/datastore/to_vineyard.py | perfumescent/mars | 9bf9bb990587cb9f091d108ed7f725fb429a80e8 | [
"Apache-2.0"
] | null | null | null | mars/dataframe/datastore/to_vineyard.py | perfumescent/mars | 9bf9bb990587cb9f091d108ed7f725fb429a80e8 | [
"Apache-2.0"
] | null | null | null | # Copyright 1999-2020 Alibaba Group Holding Ltd.
#
# 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 a... | 34.252577 | 75 | 0.60301 |
23090a7d9da1f9820b4f38d4a685aa98dc6a70c3 | 2,966 | py | Python | tests/trainer/dynamic_args/test_multiple_optimizers.py | nahidgrid/pytorch-lightning | 60bf48d3e0ee26ebafd7a98ad96c86ba304d4533 | [
"Apache-2.0"
] | null | null | null | tests/trainer/dynamic_args/test_multiple_optimizers.py | nahidgrid/pytorch-lightning | 60bf48d3e0ee26ebafd7a98ad96c86ba304d4533 | [
"Apache-2.0"
] | null | null | null | tests/trainer/dynamic_args/test_multiple_optimizers.py | nahidgrid/pytorch-lightning | 60bf48d3e0ee26ebafd7a98ad96c86ba304d4533 | [
"Apache-2.0"
] | null | null | null | from pytorch_lightning import Trainer
from tests.base.boring_model import BoringModel
import torch
def test_multiple_optimizers(tmpdir):
"""
Tests that only training_step can be used
"""
class TestModel(BoringModel):
def on_train_epoch_start(self) -> None:
self.opt_0_seen = False
... | 29.366337 | 74 | 0.604181 |
08797a4125d0a3a087bc36e4ce13a299670b843a | 3,374 | py | Python | third_party/logilab/common/urllib2ext.py | yetu/repotools | 1f52004a33ee27f539bb4c831b8e8a37751550a8 | [
"BSD-3-Clause"
] | 45 | 2015-10-12T10:02:11.000Z | 2021-12-14T07:10:47.000Z | pylibs/logilab/common/urllib2ext.py | teranex/python-mode | 51d0c3f341b5d0cd68300e16cc29a97a5783ce02 | [
"Vim"
] | 7 | 2021-02-08T20:22:15.000Z | 2022-03-11T23:19:41.000Z | pylibs/logilab/common/urllib2ext.py | teranex/python-mode | 51d0c3f341b5d0cd68300e16cc29a97a5783ce02 | [
"Vim"
] | 38 | 2016-06-25T05:57:35.000Z | 2021-12-30T04:58:10.000Z | import logging
import urllib2
import kerberos as krb
class GssapiAuthError(Exception):
"""raised on error during authentication process"""
import re
RGX = re.compile('(?:.*,)*\s*Negotiate\s*([^,]*),?', re.I)
def get_negociate_value(headers):
for authreq in headers.getheaders('www-authenticate'):
mat... | 38.340909 | 99 | 0.624185 |
dce1a6530be3c7b4d2c0d9c63a7ec68a30f351fa | 411 | py | Python | inventory/urls.py | kissops/ERPv | e5772f5e254d178bb29661d22401c9edcb6067ce | [
"MIT"
] | 2 | 2019-07-25T10:58:59.000Z | 2020-11-08T02:32:44.000Z | inventory/urls.py | kissops/ERPv-server | e5772f5e254d178bb29661d22401c9edcb6067ce | [
"MIT"
] | 21 | 2021-01-01T14:08:41.000Z | 2021-09-01T16:04:20.000Z | inventory/urls.py | kissops/ERPv-server | e5772f5e254d178bb29661d22401c9edcb6067ce | [
"MIT"
] | 1 | 2020-10-05T03:35:28.000Z | 2020-10-05T03:35:28.000Z | from django.urls import path, include
from rest_framework.routers import DefaultRouter
from . import views
router = DefaultRouter()
router.register(r"warehouses", views.WarehouseViewSet)
router.register(r"products", views.ProductViewSet)
router.register(r"locations", views.LocationViewSet)
router.register(r"location_q... | 34.25 | 70 | 0.815085 |
e2fd6fc17aa88d1b6bd2ef10480a8924bcec4d39 | 679 | py | Python | models/load_pretrained_crnn.py | Armyke/crnn.pytorch | 3cba2d626d29c299f0204fc50f0c80b7bbc6315d | [
"MIT"
] | null | null | null | models/load_pretrained_crnn.py | Armyke/crnn.pytorch | 3cba2d626d29c299f0204fc50f0c80b7bbc6315d | [
"MIT"
] | null | null | null | models/load_pretrained_crnn.py | Armyke/crnn.pytorch | 3cba2d626d29c299f0204fc50f0c80b7bbc6315d | [
"MIT"
] | null | null | null | import torch
from models import crnn as crnn
def load_model(model_path, nh, alphabet='abcdefghijklmnopqrstuvwxyz'):
# initialize crnn model
model = crnn.CRNN(32, 1, len(alphabet) + 1, nh)
# load model
try:
model.load_state_dict(torch.load(model_path, map_location='cpu'))
except Exceptio... | 24.25 | 73 | 0.661267 |
20734fbb8ff295d38c83047b642ddcd5f6c4f2d2 | 1,997 | py | Python | model/model.py | AnuroopKeshav/NaiveBayesClassifier | f7f3a032426ede778cb4382dfd7a19465994a6b9 | [
"MIT"
] | 1 | 2022-01-22T07:07:52.000Z | 2022-01-22T07:07:52.000Z | model/model.py | AnuroopKeshav/NaiveBayesClassifier | f7f3a032426ede778cb4382dfd7a19465994a6b9 | [
"MIT"
] | null | null | null | model/model.py | AnuroopKeshav/NaiveBayesClassifier | f7f3a032426ede778cb4382dfd7a19465994a6b9 | [
"MIT"
] | null | null | null | import numpy as np
import scipy.stats as sp
class NaiveBayesClassifier:
# Grouping entries based on different discrete resultant values
def groupClasses(self) -> None:
self.classes = {}
for entry in range(len(self.resultant_vector_train)):
if self.resultant_vector_train[entry] not... | 40.755102 | 129 | 0.685528 |
0bcec87e02b054687b0e775bf9f09d112847f7ae | 1,433 | py | Python | disk/tests/conftest.py | glasser/integrations-core | 1dd515d49b1690a1369ee5195713605b1b072b1f | [
"BSD-3-Clause"
] | null | null | null | disk/tests/conftest.py | glasser/integrations-core | 1dd515d49b1690a1369ee5195713605b1b072b1f | [
"BSD-3-Clause"
] | 4 | 2019-07-03T02:53:19.000Z | 2019-07-10T14:52:14.000Z | disk/tests/conftest.py | glasser/integrations-core | 1dd515d49b1690a1369ee5195713605b1b072b1f | [
"BSD-3-Clause"
] | 1 | 2019-12-23T13:35:17.000Z | 2019-12-23T13:35:17.000Z | # (C) Datadog, Inc. 2018
# All rights reserved
# Licensed under a 3-clause BSD style license (see LICENSE)
import mock
import pytest
from datadog_checks.dev.utils import ON_WINDOWS, mock_context_manager
from .metrics import CORE_GAUGES, CORE_RATES, UNIX_GAUGES
from .mocks import MockDiskIOMetrics, MockDiskMetrics, Mo... | 27.557692 | 113 | 0.7418 |
7ac57f4ac112977ef18454787f72d5ebd91f6405 | 918 | py | Python | dtlpy/services/__init__.py | dataloop-ai/dtlpy | 2c73831da54686e047ab6aefd8f12a8e53ea97c2 | [
"Apache-2.0"
] | 10 | 2020-05-21T06:25:35.000Z | 2022-01-07T20:34:03.000Z | dtlpy/services/__init__.py | dataloop-ai/dtlpy | 2c73831da54686e047ab6aefd8f12a8e53ea97c2 | [
"Apache-2.0"
] | 22 | 2019-11-17T17:25:16.000Z | 2022-03-10T15:14:28.000Z | dtlpy/services/__init__.py | dataloop-ai/dtlpy | 2c73831da54686e047ab6aefd8f12a8e53ea97c2 | [
"Apache-2.0"
] | 8 | 2020-03-05T16:23:55.000Z | 2021-12-27T11:10:42.000Z | #! /usr/bin/env python3
# This file is part of DTLPY.
#
# DTLPY is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# DTLPY is distribute... | 41.727273 | 70 | 0.784314 |
dbfc0777dccec83e3541b173c7c4aef3a48f85df | 5,385 | py | Python | nchs_mortality/delphi_nchs_mortality/run.py | JedGrabman/covidcast-indicators | d2a5a232431c8392c54bfc301dcb9beecc541b97 | [
"MIT"
] | null | null | null | nchs_mortality/delphi_nchs_mortality/run.py | JedGrabman/covidcast-indicators | d2a5a232431c8392c54bfc301dcb9beecc541b97 | [
"MIT"
] | null | null | null | nchs_mortality/delphi_nchs_mortality/run.py | JedGrabman/covidcast-indicators | d2a5a232431c8392c54bfc301dcb9beecc541b97 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Functions to call when running the function.
This module should contain a function called `run_module`, that is executed
when the module is run with `python -m MODULE_NAME`.
"""
from datetime import datetime, date, timedelta
from os.path import join
from os import remove, listdir
from shutil... | 36.632653 | 91 | 0.633612 |
4be7961643c539131be63a5072d52ff7052a40d1 | 6,832 | py | Python | ekorpkit/models/tokenizer/trainer.py | entelecheia/eKorpKit | 9521ae4c4749419fa2b088d1b9e518e5927b7cb8 | [
"CC-BY-4.0"
] | 4 | 2022-02-26T10:54:16.000Z | 2022-02-26T11:01:56.000Z | ekorpkit/models/tokenizer/trainer.py | entelecheia/eKorpKit | 9521ae4c4749419fa2b088d1b9e518e5927b7cb8 | [
"CC-BY-4.0"
] | 1 | 2022-03-25T06:37:12.000Z | 2022-03-25T06:45:53.000Z | ekorpkit/models/tokenizer/trainer.py | entelecheia/eKorpKit | 9521ae4c4749419fa2b088d1b9e518e5927b7cb8 | [
"CC-BY-4.0"
] | null | null | null | import os
import logging
from tokenizers import BertWordPieceTokenizer, ByteLevelBPETokenizer
from transformers import (
WEIGHTS_NAME,
AutoConfig,
AutoModelWithLMHead,
AutoTokenizer,
BertConfig,
BertForMaskedLM,
BertTokenizer,
BigBirdConfig,
BigBirdForMaskedLM,
BigBirdTokenizer,
... | 34.331658 | 148 | 0.645785 |
2f560c671d6d1bc64e20ec81b6f2361e10920c4a | 5,078 | py | Python | mewgram/settings.py | glasnt/mewgram | cd31df84d313c0edb452336a6b014428c110a2fc | [
"BSD-3-Clause"
] | null | null | null | mewgram/settings.py | glasnt/mewgram | cd31df84d313c0edb452336a6b014428c110a2fc | [
"BSD-3-Clause"
] | 2 | 2020-06-28T04:12:52.000Z | 2021-06-09T19:13:32.000Z | mewgram/settings.py | glasnt/mewgram | cd31df84d313c0edb452336a6b014428c110a2fc | [
"BSD-3-Clause"
] | 2 | 2020-07-01T04:30:32.000Z | 2021-05-14T12:09:46.000Z | import io
import logging
import os
import sys
from pathlib import Path
import environ
# Build paths inside the project like this: BASE_DIR / 'subdir'.
BASE_DIR = Path(__file__).resolve(strict=True).parent.parent
# Two modes: local dev, and prod.
# Local dev: have a .env file, use local settings.
# Prod: Google auth,... | 27.597826 | 91 | 0.687672 |
75ef17677c2d50afe7b66b96c5f056f973a3cbc5 | 11,203 | py | Python | api_1.4/containerd/services/images/v1/images_pb2_grpc.py | englandbaron/pycontainerd | 9e5fea6e182a80508ce8b5725f407e50beba3cfe | [
"Apache-2.0"
] | null | null | null | api_1.4/containerd/services/images/v1/images_pb2_grpc.py | englandbaron/pycontainerd | 9e5fea6e182a80508ce8b5725f407e50beba3cfe | [
"Apache-2.0"
] | null | null | null | api_1.4/containerd/services/images/v1/images_pb2_grpc.py | englandbaron/pycontainerd | 9e5fea6e182a80508ce8b5725f407e50beba3cfe | [
"Apache-2.0"
] | null | null | null | # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
"""Client and server classes corresponding to protobuf-defined services."""
import grpc
from containerd.services.images.v1 import images_pb2 as containerd_dot_services_dot_images_dot_v1_dot_images__pb2
from google.protobuf import empty_pb2 as google... | 47.470339 | 136 | 0.701241 |
3309d468eaa83324b274f4269e5a43fe04d84794 | 8,824 | py | Python | singa_auto/container/docker_swarm.py | pinpom/singa-auto | e5b80c4728ee65fd0bd7ab15d59ab5621ccc50b1 | [
"Apache-2.0"
] | 1 | 2020-10-26T11:37:26.000Z | 2020-10-26T11:37:26.000Z | singa_auto/container/docker_swarm.py | pinpom/singa-auto | e5b80c4728ee65fd0bd7ab15d59ab5621ccc50b1 | [
"Apache-2.0"
] | null | null | null | singa_auto/container/docker_swarm.py | pinpom/singa-auto | e5b80c4728ee65fd0bd7ab15d59ab5621ccc50b1 | [
"Apache-2.0"
] | null | null | null | #
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not... | 35.869919 | 93 | 0.608908 |
0b882adafd99179b25f0ff63d29baf0ead2ff130 | 835 | py | Python | src/templates/gRPC-api/tests/test_server.py | pyansys/create-python-project | e289b5042fd95ca99c6d29e107e2114a5b9a7b15 | [
"MIT"
] | 4 | 2022-02-08T12:37:49.000Z | 2022-03-29T04:45:10.000Z | src/templates/gRPC-api/tests/test_server.py | pyansys/create-python-project | e289b5042fd95ca99c6d29e107e2114a5b9a7b15 | [
"MIT"
] | 26 | 2022-02-08T12:48:52.000Z | 2022-03-28T08:58:47.000Z | src/templates/gRPC-api/tests/test_server.py | pyansys/create-python-project | e289b5042fd95ca99c6d29e107e2114a5b9a7b15 | [
"MIT"
] | 1 | 2022-03-16T12:57:24.000Z | 2022-03-16T12:57:24.000Z | # Copyright (c) 2022, Ansys Inc. Unauthorised use, distribution or duplication is prohibited
from src.stubs.pingserver_pb2 import UserRequest, EmptyRequest
class TestServer:
def test_first_ping(self, grpc_stub):
request = EmptyRequest()
response = grpc_stub.PingServer(request)
assert respo... | 41.75 | 97 | 0.706587 |
5b824a5c29663b245ee53b29325811b5d2bf48ae | 16,001 | py | Python | fitbenchmarking/parsing/tests/test_parsers.py | fitbenchmarking/fitbenchmarking | ea398efa61f071dc64fe7c3b484d5bb4e1897856 | [
"BSD-3-Clause"
] | 6 | 2019-07-22T01:56:10.000Z | 2021-12-10T05:29:30.000Z | fitbenchmarking/parsing/tests/test_parsers.py | fitbenchmarking/fitbenchmarking | ea398efa61f071dc64fe7c3b484d5bb4e1897856 | [
"BSD-3-Clause"
] | 677 | 2019-04-29T10:23:49.000Z | 2022-03-22T12:01:30.000Z | fitbenchmarking/parsing/tests/test_parsers.py | fitbenchmarking/fitbenchmarking | ea398efa61f071dc64fe7c3b484d5bb4e1897856 | [
"BSD-3-Clause"
] | 8 | 2019-06-13T10:32:17.000Z | 2020-12-09T15:08:40.000Z | """
This file contains tests for the parsers.
"""
from importlib import import_module
from inspect import isclass, isabstract, getmembers
from json import load
import os
from unittest import TestCase
from pytest import test_type as TEST_TYPE # pylint: disable=no-name-in-module
import numpy as np
from fitbenchmarking... | 38.743341 | 79 | 0.574277 |
d9ca2d113f84680a4c8893f5d1f0e67f3be2ef10 | 11,067 | py | Python | galaxy/api/filters.py | smrutikanta/ansible-galaxy | 2492e83a3551681a7b95bdfffb66d51a2a2f42ec | [
"Apache-2.0"
] | null | null | null | galaxy/api/filters.py | smrutikanta/ansible-galaxy | 2492e83a3551681a7b95bdfffb66d51a2a2f42ec | [
"Apache-2.0"
] | null | null | null | galaxy/api/filters.py | smrutikanta/ansible-galaxy | 2492e83a3551681a7b95bdfffb66d51a2a2f42ec | [
"Apache-2.0"
] | null | null | null | # (c) 2012-2018, Ansible by Red Hat
#
# This file is part of Ansible Galaxy
#
# Ansible Galaxy is free software: you can redistribute it and/or modify
# it under the terms of the Apache License as published by
# the Apache Software Foundation, either version 2 of the License, or
# (at your option) any later version.
#
... | 39.106007 | 96 | 0.542514 |
0a011139b947d9b233edbd38b9487dff9a677e03 | 2,313 | py | Python | src/foxdot/release/what_there_is/the_ashes.vr_001.py | Neko250/aisthesis | 1d4a2c3070d10596c28b25ea2170523583e7eff0 | [
"Apache-2.0"
] | 4 | 2018-06-29T18:39:34.000Z | 2021-06-20T16:44:29.000Z | src/foxdot/release/what_there_is/the_ashes.vr_001.py | Neko250/aisthesis | 1d4a2c3070d10596c28b25ea2170523583e7eff0 | [
"Apache-2.0"
] | null | null | null | src/foxdot/release/what_there_is/the_ashes.vr_001.py | Neko250/aisthesis | 1d4a2c3070d10596c28b25ea2170523583e7eff0 | [
"Apache-2.0"
] | null | null | null | Scale.default = Scale.minor
Root.default = 0
Clock.bpm = 80
chords = P[5,0,3,0]
var.ch1 = var(chords,1)
var.ch2 = var(chords,2)
var.ch4 = var(chords,4)
var.ch8 = var(chords,8)
s1 >> charm(var.ch1, amp=.8, dur=PDur(3,8)*(1,2), chop=2, lpf=800, oct=4, formant=.25, room=1, mix=.25).spread()
s2 >> ambi(chords, amp=.8, d... | 31.684932 | 133 | 0.573714 |
a09950f1cf1f8782d0a71cd639b762a87beb93a2 | 5,657 | py | Python | qiskit/tools/jupyter/job_widgets.py | tareqdandachi/qiskit-terra | 5221fe330adba5529bfa22dc25262ac8e6291aaf | [
"Apache-2.0"
] | 3 | 2019-05-19T17:39:38.000Z | 2020-01-28T19:59:18.000Z | qiskit/tools/jupyter/job_widgets.py | tareqdandachi/qiskit-terra | 5221fe330adba5529bfa22dc25262ac8e6291aaf | [
"Apache-2.0"
] | 4 | 2019-05-13T15:28:46.000Z | 2019-12-19T20:47:02.000Z | qiskit/tools/jupyter/job_widgets.py | tareqdandachi/qiskit-terra | 5221fe330adba5529bfa22dc25262ac8e6291aaf | [
"Apache-2.0"
] | 1 | 2021-07-07T16:55:41.000Z | 2021-07-07T16:55:41.000Z | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2019.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any... | 36.496774 | 94 | 0.53067 |
dab8ce1a09bdb9cdbbdaa2b76e15e41ad830863b | 155 | py | Python | delivery/tests/conftest.py | raiizoor/Python | 9c1184cae21eb725a6ee2f0881e93527c888839a | [
"Unlicense"
] | 1 | 2020-07-21T05:17:20.000Z | 2020-07-21T05:17:20.000Z | delivery/tests/conftest.py | es99/curso-flask | 03446ccc89894a2c4f2d1c14d0040e80d2226d9e | [
"Unlicense"
] | 3 | 2021-02-11T02:31:31.000Z | 2021-12-29T22:13:18.000Z | delivery/tests/conftest.py | es99/curso-flask | 03446ccc89894a2c4f2d1c14d0040e80d2226d9e | [
"Unlicense"
] | 1 | 2021-01-20T20:23:12.000Z | 2021-01-20T20:23:12.000Z | import pytest
from delivery.app import create_app
@pytest.fixture(scope="module")
def app():
"""Instance of Main flask app"""
return create_app()
| 19.375 | 36 | 0.716129 |
7fe4e9bb1eb8539840bd649bbc7be25b9b6c2ea5 | 44,094 | py | Python | me2ushop/models.py | Dogechi/Me2U | 0852600983dc1058ee347f4065ee801e16c1249e | [
"MIT"
] | null | null | null | me2ushop/models.py | Dogechi/Me2U | 0852600983dc1058ee347f4065ee801e16c1249e | [
"MIT"
] | 9 | 2020-06-06T01:16:25.000Z | 2021-06-04T23:20:37.000Z | me2ushop/models.py | Dogechi/Me2U | 0852600983dc1058ee347f4065ee801e16c1249e | [
"MIT"
] | null | null | null | import collections
import decimal
import itertools
from ckeditor.fields import RichTextField
from ckeditor_uploader.fields import RichTextUploadingField
from django.conf import settings
from django.core.cache import cache
from django.core.validators import MinValueValidator
from django.db import models
from django.sho... | 38.209705 | 121 | 0.608654 |
94c267fd288a2997cca3b6eabf2961f55ecc3863 | 655 | py | Python | catalog/bindings/gmd/abstract_curve_segment_type.py | NIVANorge/s-enda-playground | 56ae0a8978f0ba8a5546330786c882c31e17757a | [
"Apache-2.0"
] | null | null | null | catalog/bindings/gmd/abstract_curve_segment_type.py | NIVANorge/s-enda-playground | 56ae0a8978f0ba8a5546330786c882c31e17757a | [
"Apache-2.0"
] | null | null | null | catalog/bindings/gmd/abstract_curve_segment_type.py | NIVANorge/s-enda-playground | 56ae0a8978f0ba8a5546330786c882c31e17757a | [
"Apache-2.0"
] | null | null | null | from dataclasses import dataclass, field
__NAMESPACE__ = "http://www.opengis.net/gml"
@dataclass
class AbstractCurveSegmentType:
num_derivatives_at_start: int = field(
default=0,
metadata={
"name": "numDerivativesAtStart",
"type": "Attribute",
},
)
num_deri... | 22.586207 | 44 | 0.548092 |
9c527fa820d2c49bd2542b669b26abd377c7d033 | 1,512 | py | Python | apps/monitor/views/newsblur_feeds.py | louis-pre/NewsBlur | b4e9a56041ff187ef77b38dfd0778daf41b53f4f | [
"MIT"
] | 3,073 | 2015-01-01T07:20:18.000Z | 2022-03-31T20:33:41.000Z | apps/monitor/views/newsblur_feeds.py | louis-pre/NewsBlur | b4e9a56041ff187ef77b38dfd0778daf41b53f4f | [
"MIT"
] | 1,054 | 2015-01-02T13:32:35.000Z | 2022-03-30T04:21:21.000Z | apps/monitor/views/newsblur_feeds.py | louis-pre/NewsBlur | b4e9a56041ff187ef77b38dfd0778daf41b53f4f | [
"MIT"
] | 676 | 2015-01-03T16:40:29.000Z | 2022-03-30T14:00:40.000Z | from django.views import View
from django.shortcuts import render
from apps.rss_feeds.models import Feed
from apps.reader.models import UserSubscription
from apps.social.models import MSocialProfile, MSocialSubscription
from apps.statistics.models import MStatistics
class Feeds(View):
def get(self, request):
... | 35.162791 | 98 | 0.651455 |
5ae2788d0eecd613e821cc8b8a91d6d65c92af05 | 155,951 | py | Python | salt/states/file.py | lyft/salt | 2715908423a412f736253d0e5d3cfe185a0179a2 | [
"Apache-2.0"
] | 3 | 2015-04-16T18:42:35.000Z | 2017-10-30T16:57:49.000Z | salt/states/file.py | lyft/salt | 2715908423a412f736253d0e5d3cfe185a0179a2 | [
"Apache-2.0"
] | 16 | 2015-11-18T00:44:03.000Z | 2018-10-29T20:48:27.000Z | salt/states/file.py | lyft/salt | 2715908423a412f736253d0e5d3cfe185a0179a2 | [
"Apache-2.0"
] | 1 | 2017-01-27T21:33:36.000Z | 2017-01-27T21:33:36.000Z | # -*- coding: utf-8 -*-
'''
Operations on regular files, special files, directories, and symlinks
=====================================================================
Salt States can aggressively manipulate files on a system. There are a number
of ways in which files can be managed.
Regular files can be enforced wit... | 34.028148 | 117 | 0.546447 |
118f9ee70742aa18dd6993c5f0f11ed4f9624adf | 1,878 | py | Python | doujin-eromanga-com/utils/make_buynum_tag_url.py | GINK03/itmedia-scraping | 5afbe06dd0aa12db1694a2b387aa2eeafb20e981 | [
"MIT"
] | 16 | 2018-02-06T14:43:41.000Z | 2021-01-23T05:07:33.000Z | doujin-eromanga-com/utils/make_buynum_tag_url.py | GINK03/itmedia-scraping | 5afbe06dd0aa12db1694a2b387aa2eeafb20e981 | [
"MIT"
] | null | null | null | doujin-eromanga-com/utils/make_buynum_tag_url.py | GINK03/itmedia-scraping | 5afbe06dd0aa12db1694a2b387aa2eeafb20e981 | [
"MIT"
] | 4 | 2018-01-16T13:50:43.000Z | 2019-12-16T19:45:54.000Z | import glob
import re
import json
import MeCab
import pandas as pd
import sys
tags = { tag for tag, hashs in json.load(open('tag_hashs.json')).items() }
m = MeCab.Tagger('-Owakati')
data = []
for fn in glob.glob('./data/*'):
#print(fn)
obj = json.load(open(fn))
#print(obj)
star = re.search(r'(\d|,){1,}', obj['... | 26.828571 | 74 | 0.616613 |
8ff6eb20b1cffc94fc7c8c688ae611835c6de83e | 6,037 | py | Python | endorsement/dao/endorse.py | uw-it-aca/service-endorsement | a1ba3e4221bb3fe6c81c9f6947ad5e93f10a4a45 | [
"Apache-2.0"
] | 3 | 2017-10-16T17:19:32.000Z | 2019-07-31T22:31:48.000Z | endorsement/dao/endorse.py | uw-it-aca/service-endorsement | a1ba3e4221bb3fe6c81c9f6947ad5e93f10a4a45 | [
"Apache-2.0"
] | 284 | 2016-06-17T18:21:31.000Z | 2022-03-21T16:55:03.000Z | endorsement/dao/endorse.py | uw-it-aca/service-endorsement | a1ba3e4221bb3fe6c81c9f6947ad5e93f10a4a45 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 UW-IT, University of Washington
# SPDX-License-Identifier: Apache-2.0
from django.utils import timezone
from django.conf import settings
from endorsement.dao.uwnetid_categories import (
set_active_category, set_former_category)
from endorsement.dao.uwnetid_subscriptions import (
activate_subscr... | 34.301136 | 77 | 0.680305 |
b561aa1c468ec292302d9d1ffdeb0c6545179155 | 2,916 | py | Python | src/data_visualization.py | alu13/GCP_Exploration | 872d38b133e246c0e28be985c3138db75b84496d | [
"MIT"
] | null | null | null | src/data_visualization.py | alu13/GCP_Exploration | 872d38b133e246c0e28be985c3138db75b84496d | [
"MIT"
] | null | null | null | src/data_visualization.py | alu13/GCP_Exploration | 872d38b133e246c0e28be985c3138db75b84496d | [
"MIT"
] | null | null | null | from heapq import nlargest
import json
from matplotlib import pyplot as plt
import os
import statistics
from collections import Counter
import numpy as np
print(os.getcwd())
# This function converts a JSON of typically model scores to a bar chart
def json_to_bar(path, N):
with open(path) as json_file:
dic... | 31.354839 | 75 | 0.640604 |
5da0df0e983e68993c5d59481715f7989823a5a5 | 1,446 | py | Python | panda/examples/can_logger.py | Shorrts/raspberry-pilot | 84bd2e7dc0c9142a420999ed527b8abbd14e0d34 | [
"MIT"
] | 114 | 2020-02-24T14:18:01.000Z | 2022-03-19T03:42:00.000Z | panda/examples/can_logger.py | Shorrts/raspberry-pilot | 84bd2e7dc0c9142a420999ed527b8abbd14e0d34 | [
"MIT"
] | 15 | 2020-02-25T03:37:44.000Z | 2021-09-08T01:51:15.000Z | panda/examples/can_logger.py | Shorrts/raspberry-pilot | 84bd2e7dc0c9142a420999ed527b8abbd14e0d34 | [
"MIT"
] | 55 | 2020-02-24T09:43:04.000Z | 2022-02-15T04:52:00.000Z | #!/usr/bin/env python3
import binascii
import csv
import sys
from panda import Panda
def can_logger():
try:
print("Trying to connect to Panda over USB...")
p = Panda()
except AssertionError:
print("USB connection failed. Trying WiFi...")
try:
p = Panda("WIFI")
except:
print("WiF... | 26.290909 | 145 | 0.612033 |
7b4d159445da6fe08af1094b9c28349dee1318ca | 1,285 | py | Python | release/stubs.min/System/Windows/Forms/__init___parts/WindowsFormsSection.py | YKato521/ironpython-stubs | b1f7c580de48528490b3ee5791b04898be95a9ae | [
"MIT"
] | null | null | null | release/stubs.min/System/Windows/Forms/__init___parts/WindowsFormsSection.py | YKato521/ironpython-stubs | b1f7c580de48528490b3ee5791b04898be95a9ae | [
"MIT"
] | null | null | null | release/stubs.min/System/Windows/Forms/__init___parts/WindowsFormsSection.py | YKato521/ironpython-stubs | b1f7c580de48528490b3ee5791b04898be95a9ae | [
"MIT"
] | null | null | null | class WindowsFormsSection(ConfigurationSection):
"""
Defines a new System.Configuration.ConfigurationSection for parsing application settings. This class cannot be inherited.
WindowsFormsSection()
"""
ElementProperty = property(
lambda self: object(), lambda self, v: None, lambda self:... | 25.7 | 150 | 0.678599 |
714e8f9f594f0c1633b1be64c4b4bd52c00f0ab9 | 431 | py | Python | deepmerge/strategy/fallback.py | toumorokoshi/deepmerge | ee73250516228013b5aa6be9f8b1d908099fcd56 | [
"MIT"
] | 95 | 2017-02-04T21:14:03.000Z | 2022-03-14T09:04:19.000Z | deepmerge/strategy/fallback.py | sthagen/deepmerge | 4ac5ff666d06cb072ff200ff4255d86d950b71a4 | [
"MIT"
] | 14 | 2018-03-20T05:38:38.000Z | 2022-02-15T06:24:30.000Z | deepmerge/strategy/fallback.py | sthagen/deepmerge | 4ac5ff666d06cb072ff200ff4255d86d950b71a4 | [
"MIT"
] | 20 | 2017-02-03T08:29:59.000Z | 2022-03-14T09:06:57.000Z | from .core import StrategyList
class FallbackStrategies(StrategyList):
"""
The StrategyList containing fallback strategies.
"""
NAME = "fallback"
@staticmethod
def strategy_override(config, path, base, nxt):
"""use nxt, and ignore base."""
return nxt
@staticmethod
de... | 21.55 | 55 | 0.640371 |
000888c62a546450a00b07c9c571e249ddedc0f2 | 1,031 | py | Python | attalos/evaluation/densecap/scripts/pretty.py | millertime145/attalos | dbb7994928cfb5f3a338eb5faa4bd3c3fcda5e84 | [
"Apache-2.0"
] | 101 | 2016-06-03T00:15:52.000Z | 2021-11-12T11:57:46.000Z | attalos/evaluation/densecap/scripts/pretty.py | millertime145/attalos | dbb7994928cfb5f3a338eb5faa4bd3c3fcda5e84 | [
"Apache-2.0"
] | 70 | 2016-05-27T21:05:33.000Z | 2017-08-09T05:13:45.000Z | attalos/evaluation/densecap/scripts/pretty.py | millertime145/attalos | dbb7994928cfb5f3a338eb5faa4bd3c3fcda5e84 | [
"Apache-2.0"
] | 46 | 2016-05-27T16:19:20.000Z | 2019-06-24T12:37:22.000Z |
def print_list_to_columns(words, items_per_row=5):
"""function to print a list of words in column format
Parameters
----------
words : list
list of words or terms to print
items_per_row : int
number of words in a row
"""
row = []
width = max(map(len, words)) + 2
... | 25.775 | 70 | 0.56741 |
2371488e67aed2ac2233713987949209739bae1a | 1,506 | py | Python | stellar_sdk/xdr/thresholds.py | Shaptic/py-stellar-base | f5fa47f4d96f215889d99249fb25c7be002f5cf3 | [
"Apache-2.0"
] | null | null | null | stellar_sdk/xdr/thresholds.py | Shaptic/py-stellar-base | f5fa47f4d96f215889d99249fb25c7be002f5cf3 | [
"Apache-2.0"
] | 27 | 2022-01-12T10:55:38.000Z | 2022-03-28T01:38:24.000Z | stellar_sdk/xdr/thresholds.py | Shaptic/py-stellar-base | f5fa47f4d96f215889d99249fb25c7be002f5cf3 | [
"Apache-2.0"
] | 2 | 2021-12-02T12:42:03.000Z | 2021-12-07T20:53:10.000Z | # This is an automatically generated file.
# DO NOT EDIT or your changes may be overwritten
import base64
from xdrlib import Packer, Unpacker
from ..type_checked import type_checked
from .base import Opaque
__all__ = ["Thresholds"]
@type_checked
class Thresholds:
"""
XDR Source Code::
typedef opaqu... | 26.421053 | 61 | 0.65405 |
3068d9910a23a6982b477cd1fde50f89cce082af | 350 | py | Python | script/fix_questionstyle.py | xziyue/PRML_Project | 989580d9db2101ccc8b6b2652291a2d3546b55ff | [
"MIT"
] | 1 | 2019-12-11T14:33:12.000Z | 2019-12-11T14:33:12.000Z | script/fix_questionstyle.py | xziyue/PRML_Project | 989580d9db2101ccc8b6b2652291a2d3546b55ff | [
"MIT"
] | null | null | null | script/fix_questionstyle.py | xziyue/PRML_Project | 989580d9db2101ccc8b6b2652291a2d3546b55ff | [
"MIT"
] | null | null | null | from script.util import *
import re
# this substitution will be used when all solutions are finished
root = os.path.split(os.getcwd())[0]
toc = GetAnswerTOC(root)
tex = toc['tex']
testString = r'123ji\prmlstyle{1.12} '
for key, val in tex.items():
text = None
with open(val, 'r') as infile:
text = i... | 20.588235 | 64 | 0.66 |
682e0763aca2faee9a492d5e25bfb7582da36f94 | 2,724 | py | Python | huaweicloud-sdk-vpc/huaweicloudsdkvpc/v2/model/create_subnet_request_body.py | wuchen-huawei/huaweicloud-sdk-python-v3 | 3683d703f4320edb2b8516f36f16d485cff08fc2 | [
"Apache-2.0"
] | 1 | 2021-04-16T07:59:28.000Z | 2021-04-16T07:59:28.000Z | huaweicloud-sdk-vpc/huaweicloudsdkvpc/v2/model/create_subnet_request_body.py | wuchen-huawei/huaweicloud-sdk-python-v3 | 3683d703f4320edb2b8516f36f16d485cff08fc2 | [
"Apache-2.0"
] | null | null | null | huaweicloud-sdk-vpc/huaweicloudsdkvpc/v2/model/create_subnet_request_body.py | wuchen-huawei/huaweicloud-sdk-python-v3 | 3683d703f4320edb2b8516f36f16d485cff08fc2 | [
"Apache-2.0"
] | 1 | 2022-01-17T02:24:18.000Z | 2022-01-17T02:24:18.000Z | # coding: utf-8
import pprint
import re
import six
class CreateSubnetRequestBody:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the ... | 25.222222 | 74 | 0.541116 |
41924ce1b40bbf88a00ed3e139cec7909606c77f | 1,149 | py | Python | allauth/socialaccount/providers/stackexchange_provider/provider.py | Fuzzwah/django-allauth | 071cbef1388bb61a563d3e41197bd5b7c26664d2 | [
"MIT"
] | null | null | null | allauth/socialaccount/providers/stackexchange_provider/provider.py | Fuzzwah/django-allauth | 071cbef1388bb61a563d3e41197bd5b7c26664d2 | [
"MIT"
] | null | null | null | allauth/socialaccount/providers/stackexchange_provider/provider.py | Fuzzwah/django-allauth | 071cbef1388bb61a563d3e41197bd5b7c26664d2 | [
"MIT"
] | null | null | null | from allauth.socialaccount.providers.base import ProviderAccount
from allauth.socialaccount.providers.oauth2_provider.provider import OAuth2Provider
class StackExchangeAccount(ProviderAccount):
def get_profile_url(self):
return self.account.extra_data.get("html_url")
def get_avatar_url(self):
... | 30.236842 | 83 | 0.706701 |
a91961e5831d289a7e9a6bb813845c0177c013fd | 509 | py | Python | csv__examples/writer_list_of_dict.py | DazEB2/SimplePyScripts | 1dde0a42ba93fe89609855d6db8af1c63b1ab7cc | [
"CC-BY-4.0"
] | 117 | 2015-12-18T07:18:27.000Z | 2022-03-28T00:25:54.000Z | csv__examples/writer_list_of_dict.py | DazEB2/SimplePyScripts | 1dde0a42ba93fe89609855d6db8af1c63b1ab7cc | [
"CC-BY-4.0"
] | 8 | 2018-10-03T09:38:46.000Z | 2021-12-13T19:51:09.000Z | csv__examples/writer_list_of_dict.py | DazEB2/SimplePyScripts | 1dde0a42ba93fe89609855d6db8af1c63b1ab7cc | [
"CC-BY-4.0"
] | 28 | 2016-08-02T17:43:47.000Z | 2022-03-21T08:31:12.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'ipetrash'
# SOURCE: https://docs.python.org/3/library/csv.html#csv.DictWriter
# SOURCE: https://stackoverflow.com/a/3087011/5909792
import csv
items = [
{'name': 'bob', 'age': 25, 'weight': 200},
{'name': 'jim', 'age': 31, 'weight': 180}
]
keys... | 22.130435 | 67 | 0.636542 |
7bbf10f44d8d5ced3a55a8c59dcaf3d2ddcff8c7 | 570 | py | Python | Dataset_cancer.py | Kiminwoo/Machine-Running-Exercises | eff025564a6895f3a060e278599129026f6204d5 | [
"MIT"
] | 1 | 2019-03-23T07:00:37.000Z | 2019-03-23T07:00:37.000Z | Dataset_cancer.py | Kiminwoo/Machine-Running-Exercises | eff025564a6895f3a060e278599129026f6204d5 | [
"MIT"
] | null | null | null | Dataset_cancer.py | Kiminwoo/Machine-Running-Exercises | eff025564a6895f3a060e278599129026f6204d5 | [
"MIT"
] | 1 | 2019-07-12T18:15:11.000Z | 2019-07-12T18:15:11.000Z | # * cancer 데이터셋 : 위스콘신 유방암 데이터셋. 유방암 종양의 임상 데이터가 기록된 실제 데이터셋.
# 569개의 데이터와 30개의 특성을 가진다. 그중 212개는 악성이고 357개는 양성이다.
import scipy as sp
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import mglearn
from sklearn.datasets import load_breast_cancer
cancer = load_breast_cancer()
print("ca... | 35.625 | 78 | 0.710526 |
bfcfff5f7918c8215575dc91d82361cfea396ba3 | 4,008 | py | Python | tests/test_serializer.py | mariocesar/quill-delta-py | 06dda55bfa91d4bded0f904eb7e7bbc56aee072c | [
"MIT"
] | 2 | 2018-02-14T19:04:23.000Z | 2018-02-15T12:15:26.000Z | tests/test_serializer.py | mariocesar/quill-delta-py | 06dda55bfa91d4bded0f904eb7e7bbc56aee072c | [
"MIT"
] | 1 | 2018-12-12T13:10:01.000Z | 2018-12-13T13:54:22.000Z | tests/test_serializer.py | mariocesar/quill-delta-py | 06dda55bfa91d4bded0f904eb7e7bbc56aee072c | [
"MIT"
] | null | null | null | import unittest
import pytest
from quilldelta import Delete, Delta, Insert, Retain
from quilldelta.types import load_operation
class TestParser:
def test_insert_from_dict(self):
assert load_operation({'insert': 1}) == Insert(1, None)
assert load_operation({'insert': 'foo'}) == Insert('foo', None... | 32.064 | 80 | 0.498503 |
6caf9b66059aa4d9d963c3224053c8f23375751d | 2,263 | py | Python | densephrases/scripts/dump/save_meta.py | Pranav174/DensePhrases | 0f3ad63107d7c09b81218b1e77dcc31325b61450 | [
"Apache-2.0"
] | 331 | 2021-03-31T11:14:55.000Z | 2022-03-28T04:18:52.000Z | densephrases/scripts/dump/save_meta.py | ss756/DensePhrases | 5c5465100112ec5267a7ba06eea5765ea494b365 | [
"Apache-2.0"
] | 17 | 2021-06-04T19:14:53.000Z | 2021-12-22T06:10:15.000Z | densephrases/scripts/dump/save_meta.py | ss756/DensePhrases | 5c5465100112ec5267a7ba06eea5765ea494b365 | [
"Apache-2.0"
] | 40 | 2021-04-12T09:53:00.000Z | 2022-03-23T10:56:54.000Z | import argparse
import os
import h5py
import torch
from tqdm import tqdm
def get_range(name):
# name = name.replace('_tfidf', '')
return list(map(int, os.path.splitext(name)[0].split('-')))
def find_name(names, pos):
for name in names:
start, end = get_range(name)
assert start != end, 'y... | 29.012821 | 107 | 0.590809 |
b38d553c850fdcbfc6ca9d112524269b92d0a8c0 | 4,689 | py | Python | test/integration/025_duplicate_model_test/test_duplicate_model.py | tjengel/dbt | f985902a002fba36f6f709c6aacf9ae20778e58c | [
"Apache-2.0"
] | 1 | 2021-09-01T20:50:52.000Z | 2021-09-01T20:50:52.000Z | test/integration/025_duplicate_model_test/test_duplicate_model.py | tjengel/dbt | f985902a002fba36f6f709c6aacf9ae20778e58c | [
"Apache-2.0"
] | 1 | 2019-10-28T15:33:04.000Z | 2019-10-28T15:33:04.000Z | test/integration/025_duplicate_model_test/test_duplicate_model.py | tjengel/dbt | f985902a002fba36f6f709c6aacf9ae20778e58c | [
"Apache-2.0"
] | 2 | 2019-05-10T21:23:08.000Z | 2021-06-09T01:28:37.000Z | from dbt.exceptions import CompilationException
from test.integration.base import DBTIntegrationTest, use_profile
class TestDuplicateModelEnabled(DBTIntegrationTest):
@property
def schema(self):
return "duplicate_model_025"
@property
def models(self):
return "models-1"
@property... | 29.30625 | 93 | 0.516528 |
561d183b6ec68826ce275c6fef47c16a07d7ed62 | 424 | py | Python | leadmanager/accounts/urls.py | epoyepoy/lead-manager | db9bd76c3549a5f794af63b5583659d3d6e0e510 | [
"MIT"
] | null | null | null | leadmanager/accounts/urls.py | epoyepoy/lead-manager | db9bd76c3549a5f794af63b5583659d3d6e0e510 | [
"MIT"
] | null | null | null | leadmanager/accounts/urls.py | epoyepoy/lead-manager | db9bd76c3549a5f794af63b5583659d3d6e0e510 | [
"MIT"
] | null | null | null | from django.urls import path, include
from .api import RegisterAPI, LoginAPI, UserAPI
from knox import views as knox_views
urlpatterns = [
path('api/auth', include('knox.urls')),
path('api/auth/register', RegisterAPI.as_view()),
path('api/auth/login', LoginAPI.as_view()),
path('api/auth/user', UserAPI.... | 32.615385 | 61 | 0.693396 |
e3c8a6dc433739546a19226d5e3070dddb2f26b1 | 19,697 | py | Python | components/partition_table/gen_esp32part.py | ghsecuritylab/esp_alexa_idf | e132e8b960af6d576ce2fca4f6b2994be2f42e56 | [
"Apache-2.0"
] | 24 | 2019-03-16T05:34:52.000Z | 2020-06-20T08:08:37.000Z | components/partition_table/gen_esp32part.py | ghsecuritylab/esp_alexa_idf | e132e8b960af6d576ce2fca4f6b2994be2f42e56 | [
"Apache-2.0"
] | 10 | 2021-03-09T15:34:26.000Z | 2022-02-26T17:34:35.000Z | components/partition_table/gen_esp32part.py | ghsecuritylab/esp_alexa_idf | e132e8b960af6d576ce2fca4f6b2994be2f42e56 | [
"Apache-2.0"
] | 16 | 2019-03-25T06:03:30.000Z | 2020-07-18T23:44:28.000Z | #!/usr/bin/env python
#
# ESP32 partition table generation tool
#
# Converts partition tables to/from CSV and binary formats.
#
# See https://docs.espressif.com/projects/esp-idf/en/latest/api-guides/partition-tables.html
# for explanation of partition table structure and uses.
#
# Copyright 2015-2016 Espressif Systems ... | 38.321012 | 219 | 0.584861 |
605ede8a124cbf08f682eab9a5bb1a6b0c8e5d38 | 13,600 | py | Python | healthcare/api-client/fhir/fhir_resources_test.py | apecr/python-docs-samples | 26b581bb6ce148e13a9c7f2cd801f138b8aa8412 | [
"Apache-2.0"
] | 1 | 2020-06-04T16:50:49.000Z | 2020-06-04T16:50:49.000Z | healthcare/api-client/fhir/fhir_resources_test.py | apecr/python-docs-samples | 26b581bb6ce148e13a9c7f2cd801f138b8aa8412 | [
"Apache-2.0"
] | null | null | null | healthcare/api-client/fhir/fhir_resources_test.py | apecr/python-docs-samples | 26b581bb6ce148e13a9c7f2cd801f138b8aa8412 | [
"Apache-2.0"
] | 1 | 2020-05-29T20:33:18.000Z | 2020-05-29T20:33:18.000Z | # Copyright 2018 Google LLC 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 law or ag... | 25.954198 | 90 | 0.671838 |
bceefc277ee44ab6c4f5543ed2fbaec962996d98 | 7,842 | py | Python | contrib/bitrpc/bitrpc.py | bitmxittz/Bitmxittz2 | f4fdd17c09fdee79feea729bb81b3b99862423f7 | [
"MIT"
] | 1 | 2017-12-22T15:32:01.000Z | 2017-12-22T15:32:01.000Z | contrib/bitrpc/bitrpc.py | bitmxittz/Bitmxittz2 | f4fdd17c09fdee79feea729bb81b3b99862423f7 | [
"MIT"
] | null | null | null | contrib/bitrpc/bitrpc.py | bitmxittz/Bitmxittz2 | f4fdd17c09fdee79feea729bb81b3b99862423f7 | [
"MIT"
] | 1 | 2019-05-30T14:10:31.000Z | 2019-05-30T14:10:31.000Z | from jsonrpc import ServiceProxy
import sys
import string
# ===== BEGIN USER SETTINGS =====
# if you do not set these you will be prompted for a password for every command
rpcuser = ""
rpcpass = ""
# ====== END USER SETTINGS ======
if rpcpass == "":
access = ServiceProxy("http://127.0.0.1:14432")
else:
access = Se... | 24.129231 | 79 | 0.668452 |
d9ad0fb8916c59d43659f4efd575cefba82bbe23 | 3,928 | py | Python | lib/spack/spack/cmd/dev_build.py | carlabguillen/spack | 7070bb892f9bdb5cf9e76e0eecd64f6cc5f4695c | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 1 | 2020-05-24T15:23:12.000Z | 2020-05-24T15:23:12.000Z | lib/spack/spack/cmd/dev_build.py | carlabguillen/spack | 7070bb892f9bdb5cf9e76e0eecd64f6cc5f4695c | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 6 | 2022-02-26T11:44:34.000Z | 2022-03-12T12:14:50.000Z | lib/spack/spack/cmd/dev_build.py | carlabguillen/spack | 7070bb892f9bdb5cf9e76e0eecd64f6cc5f4695c | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 2 | 2020-09-15T02:37:59.000Z | 2020-09-21T04:34:38.000Z | # Copyright 2013-2020 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)
import sys
import os
import llnl.util.tty as tty
import spack.config
import spack.cmd
import spack.cmd.common.arguments ... | 36.036697 | 79 | 0.677444 |
27d6c596957bd137565ac19d5744d635afb3b8a6 | 1,841 | py | Python | biodata/api/mutations.py | znatty22/biodataservice | a3eeb137d2e727a0fc58437b185f2637bc4665ed | [
"Apache-2.0"
] | null | null | null | biodata/api/mutations.py | znatty22/biodataservice | a3eeb137d2e727a0fc58437b185f2637bc4665ed | [
"Apache-2.0"
] | null | null | null | biodata/api/mutations.py | znatty22/biodataservice | a3eeb137d2e727a0fc58437b185f2637bc4665ed | [
"Apache-2.0"
] | null | null | null | import graphene
from biodata.api import models as m
from biodata.api import objects as o
class CreateStudyMutation(graphene.Mutation):
class Arguments:
short_name = graphene.String(required=True)
name = graphene.String(required=False)
study = graphene.Field(o.StudyType)
def mutate(self,... | 31.741379 | 73 | 0.712113 |
24622a9ce68a8b80af701be571d0cfdc8b85652f | 1,412 | py | Python | auth0/v3/management/users_by_email.py | bumplzz69/auth0-python | 763f331f66eab465e2ef6654a74b48d1f4b47d9a | [
"MIT"
] | null | null | null | auth0/v3/management/users_by_email.py | bumplzz69/auth0-python | 763f331f66eab465e2ef6654a74b48d1f4b47d9a | [
"MIT"
] | null | null | null | auth0/v3/management/users_by_email.py | bumplzz69/auth0-python | 763f331f66eab465e2ef6654a74b48d1f4b47d9a | [
"MIT"
] | null | null | null | from .rest import RestClient
class UsersByEmail(object):
"""Auth0 users by email endpoints
Args:
domain (str): Your Auth0 domain, e.g: 'username.auth0.com'
token (str): Management API v2 Token
telemetry (bool, optional): Enable or disable Telemetry
(defaults to True)
... | 30.042553 | 89 | 0.606941 |
f61755ac3f24324fba205e2759ca0c1bf8bd6dbc | 3,059 | py | Python | rule11_interruption.py | e96031413/proofread | f4fc798d3b57c6f7a55f4e18de68f2272eb9fc44 | [
"MIT"
] | null | null | null | rule11_interruption.py | e96031413/proofread | f4fc798d3b57c6f7a55f4e18de68f2272eb9fc44 | [
"MIT"
] | null | null | null | rule11_interruption.py | e96031413/proofread | f4fc798d3b57c6f7a55f4e18de68f2272eb9fc44 | [
"MIT"
] | null | null | null | import os
from color_print import *
from p_arser import nlp
from p_arser import sentencizer
principle = color_magenta('''Writing Principle 11:
Avoid interruptions between subject and verb
and between verb and object.
''')
example = color_cyan('''
Bad: We conclude, based on very simplified models of solar v... | 35.16092 | 122 | 0.62831 |
7703321a0cbd9a9c4496dcab5366c448bac6f2eb | 9,352 | py | Python | data_generation/lumencor.py | AndrewGYork/remote_refocus | 5be485e13df4b9caf71941e8e937acaf6b959348 | [
"CC-BY-4.0"
] | 16 | 2018-01-11T22:31:05.000Z | 2019-07-06T12:06:37.000Z | data_generation/lumencor.py | calico/remote_refocus | 7c62907eed8f27afbfe3ef07d62c7a5ea9d3c7ac | [
"CC-BY-4.0"
] | null | null | null | data_generation/lumencor.py | calico/remote_refocus | 7c62907eed8f27afbfe3ef07d62c7a5ea9d3c7ac | [
"CC-BY-4.0"
] | 2 | 2018-01-11T20:03:51.000Z | 2019-02-09T20:36:28.000Z | import serial
class SpectraX:
"""Controls Lumencor SpectraX through a serial port."""
def __init__(self, which_port, verbose=True):
"""Constructor for SpectraX class.
Arguments:
which_port -- Specify which serial port the SpectraX is connected to
... | 41.93722 | 80 | 0.553785 |
b9e1f10935fd4f70163f71e81bd257bc2d6d1bba | 1,788 | py | Python | sdk/ml/azure-ai-ml/tests/test_configs/batch_setup/light_gbm_examples/python-guide/plot_example.py | dubiety/azure-sdk-for-python | 62ffa839f5d753594cf0fe63668f454a9d87a346 | [
"MIT"
] | 1 | 2022-02-01T18:50:12.000Z | 2022-02-01T18:50:12.000Z | sdk/ml/azure-ai-ml/tests/test_configs/batch_setup/light_gbm_examples/python-guide/plot_example.py | ellhe-blaster/azure-sdk-for-python | 82193ba5e81cc5e5e5a5239bba58abe62e86f469 | [
"MIT"
] | null | null | null | sdk/ml/azure-ai-ml/tests/test_configs/batch_setup/light_gbm_examples/python-guide/plot_example.py | ellhe-blaster/azure-sdk-for-python | 82193ba5e81cc5e5e5a5239bba58abe62e86f469 | [
"MIT"
] | null | null | null | # coding: utf-8
import lightgbm as lgb
import pandas as pd
if lgb.compat.MATPLOTLIB_INSTALLED:
import matplotlib.pyplot as plt
else:
raise ImportError("You need to install matplotlib for plot_example.py.")
print("Loading data...")
# load or create your dataset
df_train = pd.read_csv("../regression/regression.... | 29.311475 | 82 | 0.720358 |
3629bb281f0a1c1ede5b90f7f598ce32b6059574 | 53,084 | py | Python | research/object_detection/inputs_test.py | 873040/Abhishek | 2ddd716e66bc5cc6e6f0787508dd07da0e02e75a | [
"Apache-2.0"
] | 10 | 2020-06-30T06:43:48.000Z | 2022-03-22T11:01:20.000Z | research/object_detection/inputs_test.py | 873040/Abhishek | 2ddd716e66bc5cc6e6f0787508dd07da0e02e75a | [
"Apache-2.0"
] | 10 | 2019-12-28T21:31:19.000Z | 2020-04-12T20:01:58.000Z | research/object_detection/inputs_test.py | 873040/Abhishek | 2ddd716e66bc5cc6e6f0787508dd07da0e02e75a | [
"Apache-2.0"
] | 9 | 2020-03-30T02:11:52.000Z | 2020-04-05T02:15:08.000Z | # Copyright 2017 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... | 41.536776 | 81 | 0.69083 |
e9461939ec5e38edd12bf74c238f436cc873fc0f | 5,426 | py | Python | build/PureCloudPlatformClientV2/models/date_range_with_optional_end.py | cjohnson-ctl/platform-client-sdk-python | 38ce53bb8012b66e8a43cc8bd6ff00cf6cc99100 | [
"MIT"
] | 10 | 2019-02-22T00:27:08.000Z | 2021-09-12T23:23:44.000Z | libs/PureCloudPlatformClientV2/models/date_range_with_optional_end.py | rocketbot-cl/genesysCloud | dd9d9b5ebb90a82bab98c0d88b9585c22c91f333 | [
"MIT"
] | 5 | 2018-06-07T08:32:00.000Z | 2021-07-28T17:37:26.000Z | libs/PureCloudPlatformClientV2/models/date_range_with_optional_end.py | rocketbot-cl/genesysCloud | dd9d9b5ebb90a82bab98c0d88b9585c22c91f333 | [
"MIT"
] | 6 | 2020-04-09T17:43:07.000Z | 2022-02-17T08:48:05.000Z | # coding: utf-8
"""
Copyright 2016 SmartBear Software
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... | 34.56051 | 207 | 0.63638 |
9f3d583430c06ace8d37ad0aefc7a07f17a8ddee | 292 | py | Python | suzieq/sqobjects/ifCounters.py | ewlumpkin/suzieq | 9d55a46a631f01535d5b8ab1c0b870f840bbc526 | [
"Apache-2.0"
] | null | null | null | suzieq/sqobjects/ifCounters.py | ewlumpkin/suzieq | 9d55a46a631f01535d5b8ab1c0b870f840bbc526 | [
"Apache-2.0"
] | null | null | null | suzieq/sqobjects/ifCounters.py | ewlumpkin/suzieq | 9d55a46a631f01535d5b8ab1c0b870f840bbc526 | [
"Apache-2.0"
] | null | null | null | from suzieq.sqobjects.basicobj import SqObject
class IfCountersObj(SqObject):
def __init__(self, **kwargs):
super().__init__(table='ifCounters', **kwargs)
self._valid_get_args = ['namespace', 'hostname', 'columns', 'ifname',
'query_str']
| 32.444444 | 77 | 0.616438 |
df80b7003f5ee3d8e801a8d69947af261738663c | 96 | py | Python | .tox/py27/lib/python2.7/re.py | RGKim/locustksy | 018322331d37483acf61e210302e4e1da21d719f | [
"MIT"
] | 8 | 2019-01-14T14:49:09.000Z | 2020-07-24T18:32:06.000Z | ENV/lib/python2.7/re.py | timxor/onchainjobs | 61f45b1bf2f88fd9c7de90ac43932dbe01cd43b7 | [
"MIT"
] | 7 | 2018-11-26T01:07:13.000Z | 2018-11-26T08:01:59.000Z | ENV/lib/python2.7/re.py | timxor/onchainjobs | 61f45b1bf2f88fd9c7de90ac43932dbe01cd43b7 | [
"MIT"
] | 1 | 2019-09-01T05:47:58.000Z | 2019-09-01T05:47:58.000Z | /usr/local/Cellar/python@2/2.7.15_1/Frameworks/Python.framework/Versions/2.7/lib/python2.7/re.py | 96 | 96 | 0.802083 |
b8afbd2ced86a49470dd704a579a10d78c158c03 | 19,359 | py | Python | tensorflow/models/embedding/word2vec.py | 285219011/hello-world | dfb71ea206eb9f61e5d97c9727caa1a6449e39cb | [
"Apache-2.0"
] | 6 | 2017-04-25T01:30:41.000Z | 2019-12-11T15:08:46.000Z | tensorflow/models/embedding/word2vec.py | PaulTR/tensorflow | 84bcff1e814ee5697b5980535583737f8e81d82f | [
"Apache-2.0"
] | null | null | null | tensorflow/models/embedding/word2vec.py | PaulTR/tensorflow | 84bcff1e814ee5697b5980535583737f8e81d82f | [
"Apache-2.0"
] | 8 | 2017-04-17T23:39:12.000Z | 2019-05-11T14:06:31.000Z | # Copyright 2015 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... | 36.734345 | 80 | 0.649155 |
4903483dd9efe44dadf1e149b59c19fa0581388f | 6,916 | py | Python | onnxruntime/python/tools/featurizer_ops/data_frame_tool.py | michaelgsharp/onnxruntime | da653ccdac344372052025d95cc84e93237f6f84 | [
"MIT"
] | null | null | null | onnxruntime/python/tools/featurizer_ops/data_frame_tool.py | michaelgsharp/onnxruntime | da653ccdac344372052025d95cc84e93237f6f84 | [
"MIT"
] | null | null | null | onnxruntime/python/tools/featurizer_ops/data_frame_tool.py | michaelgsharp/onnxruntime | da653ccdac344372052025d95cc84e93237f6f84 | [
"MIT"
] | 1 | 2020-10-01T09:26:19.000Z | 2020-10-01T09:26:19.000Z | #-------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
#--------------------------------------------------------------------------
import numpy as np
import onnxruntime as onnxrt
ort_float_set = set([np.f... | 41.915152 | 121 | 0.640977 |
dd55389311667ceb97d8f7ce7a857b30070d2523 | 11,910 | py | Python | symphony/bdk/gen/pod_model/avatar.py | SymphonyOSF/symphony-api-client-python | 70137a893f4385381a3158ef80e1be156e0fc4bd | [
"Apache-2.0"
] | null | null | null | symphony/bdk/gen/pod_model/avatar.py | SymphonyOSF/symphony-api-client-python | 70137a893f4385381a3158ef80e1be156e0fc4bd | [
"Apache-2.0"
] | null | null | null | symphony/bdk/gen/pod_model/avatar.py | SymphonyOSF/symphony-api-client-python | 70137a893f4385381a3158ef80e1be156e0fc4bd | [
"Apache-2.0"
] | null | null | null | """
Pod API
This document refers to Symphony API calls that do not need encryption or decryption of content. - sessionToken can be obtained by calling the authenticationAPI on the symphony back end and the key manager respectively. Refer to the methods described in authenticatorAPI.yaml. - Actions are defined... | 45.458015 | 637 | 0.578338 |
4e20437718718ca5e18a0b0e3ebdbc65cd30681e | 1,136 | py | Python | Patchport.py | zj3t/FirmAE | 9b411a220966dc477df07f76c5354bdd213732ac | [
"MIT"
] | null | null | null | Patchport.py | zj3t/FirmAE | 9b411a220966dc477df07f76c5354bdd213732ac | [
"MIT"
] | null | null | null | Patchport.py | zj3t/FirmAE | 9b411a220966dc477df07f76c5354bdd213732ac | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import os
import sys
import subprocess
def command(cmd):
try:
result = subprocess.check_output(cmd, shell=True)
result = result.decode().split('\n')[:-1]
except:
result = ''
return result
def Patchport(INDEX):
os.chdir('./scripts')
for i in range(1,... | 22.27451 | 106 | 0.505282 |
a228a29e6e89415385e57a4ac3d987c0bc283403 | 3,017 | py | Python | Original_Data/providence_tide_gage_hourly.py | ccb60/Providence_SLR | 240de3a42761a5b309a86f424155720e5a6caa44 | [
"MIT"
] | null | null | null | Original_Data/providence_tide_gage_hourly.py | ccb60/Providence_SLR | 240de3a42761a5b309a86f424155720e5a6caa44 | [
"MIT"
] | null | null | null | Original_Data/providence_tide_gage_hourly.py | ccb60/Providence_SLR | 240de3a42761a5b309a86f424155720e5a6caa44 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Quick script to download Providence Tide Station data to CSV files
A script is convenient because hourly data are only available on a
yearly basis.
@author: Curtis
"""
import requests
from datetime import date
MONTHLENGTHS = [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31]
BASE = r'https... | 40.226667 | 99 | 0.598276 |
640fb8f59b586f7e2c012fccd1c30ed06e9f7280 | 481 | py | Python | Train_Model/util/tokenizer_helpers.py | collinli2022/2021_June_TeenHacks | 1804645c8ece1d73ea4f00ee9d7be2bfb5037e71 | [
"MIT"
] | 2 | 2020-01-29T20:35:47.000Z | 2021-04-29T02:57:01.000Z | Train_Model/util/tokenizer_helpers.py | collinli2022/2021_June_TeenHacks | 1804645c8ece1d73ea4f00ee9d7be2bfb5037e71 | [
"MIT"
] | 11 | 2018-12-01T00:40:25.000Z | 2022-02-10T00:05:58.000Z | Train_Model/util/tokenizer_helpers.py | collinli2022/2021_June_TeenHacks | 1804645c8ece1d73ea4f00ee9d7be2bfb5037e71 | [
"MIT"
] | null | null | null | # Keras Tokenizer Serialization
# Written by Gautam Mittal
import pickle, json
def save_tokenizer(filepath, tokenizer):
with open(filepath, 'wb') as handle:
pickle.dump(tokenizer, handle, protocol=pickle.HIGHEST_PROTOCOL)
def load_tokenizer(filepath):
with open(filepath, 'rb') as handle:
retu... | 28.294118 | 72 | 0.72973 |
16209d66f50cc03dd249efd7cacb5ebda93ffb94 | 53 | py | Python | qtable/__init__.py | ihgazni2/qtable | 269bb1052d7c7aeeae4d0b1024746fae38870c40 | [
"MIT"
] | null | null | null | qtable/__init__.py | ihgazni2/qtable | 269bb1052d7c7aeeae4d0b1024746fae38870c40 | [
"MIT"
] | null | null | null | qtable/__init__.py | ihgazni2/qtable | 269bb1052d7c7aeeae4d0b1024746fae38870c40 | [
"MIT"
] | null | null | null | __all__ = ["qtable","engine","ndarr","locs","utils"]
| 26.5 | 52 | 0.622642 |
5c418a8d46fcbfa9c3eaa13cf8de1f604df55b72 | 4,360 | py | Python | pyspedas/mms/fpi/mms_load_fpi_calc_pad.py | ergsc-devel/pyspedas | 43d985cbcd23c54205453b06e08f8e51d29ab435 | [
"MIT"
] | 75 | 2019-02-22T12:59:33.000Z | 2022-02-26T15:33:20.000Z | pyspedas/mms/fpi/mms_load_fpi_calc_pad.py | ergsc-devel/pyspedas | 43d985cbcd23c54205453b06e08f8e51d29ab435 | [
"MIT"
] | 40 | 2019-07-02T07:46:34.000Z | 2022-02-23T21:48:50.000Z | pyspedas/mms/fpi/mms_load_fpi_calc_pad.py | ergsc-devel/pyspedas | 43d985cbcd23c54205453b06e08f8e51d29ab435 | [
"MIT"
] | 43 | 2019-02-22T13:03:41.000Z | 2022-01-24T19:26:59.000Z | from pyspedas import tnames
from pytplot import get_data, store_data, options
def mms_load_fpi_calc_pad(probe='1', level='sitl', datatype='', data_rate='', suffix='', autoscale=True):
"""
Calculates the omni-directional pitch angle distribution (summed and averaged)
from the individual tplot variables
... | 37.913043 | 118 | 0.575917 |
3101ac2198f7e6ab7e411d1318016ffc72804460 | 7,870 | py | Python | django_elasticsearch_dsl/documents.py | simion/django-elasticsearch-dsl | ecb6ac22bce353eb34851b185488ee6636034574 | [
"Apache-2.0"
] | null | null | null | django_elasticsearch_dsl/documents.py | simion/django-elasticsearch-dsl | ecb6ac22bce353eb34851b185488ee6636034574 | [
"Apache-2.0"
] | null | null | null | django_elasticsearch_dsl/documents.py | simion/django-elasticsearch-dsl | ecb6ac22bce353eb34851b185488ee6636034574 | [
"Apache-2.0"
] | null | null | null | from __future__ import unicode_literals
from collections import deque
from functools import partial
from django import VERSION as DJANGO_VERSION
from django.db import models
from elasticsearch.helpers import bulk, parallel_bulk
from elasticsearch_dsl import Document as DSLDocument
from six import iteritems
from .exc... | 33.632479 | 125 | 0.635578 |
a27de1fcaca15fce684563a6e104e457ecdcc96c | 97 | py | Python | aegis/utils/ssh/ssh_handler.py | Yijie-Wu/Aegis | f8082b66d55be135a5e2bec7ac15f860f99f7df7 | [
"MIT"
] | null | null | null | aegis/utils/ssh/ssh_handler.py | Yijie-Wu/Aegis | f8082b66d55be135a5e2bec7ac15f860f99f7df7 | [
"MIT"
] | null | null | null | aegis/utils/ssh/ssh_handler.py | Yijie-Wu/Aegis | f8082b66d55be135a5e2bec7ac15f860f99f7df7 | [
"MIT"
] | null | null | null | # -*- encoding:utf-8 -*-
"""
Author: Yijie.Wu
Email: 1694517106@qq.com
Date: 2020/5/16 15:17
"""
| 13.857143 | 24 | 0.618557 |
afa2a3bef7b8a6564cad85a7dd7d078b930baa1b | 2,876 | py | Python | mayan/apps/metadata/urls.py | mbehrle/mayan-edms | 9ebf27d2ea1666eaa36ad6ddc0fb9c6accf5cced | [
"Apache-2.0"
] | null | null | null | mayan/apps/metadata/urls.py | mbehrle/mayan-edms | 9ebf27d2ea1666eaa36ad6ddc0fb9c6accf5cced | [
"Apache-2.0"
] | 1 | 2022-03-12T01:03:39.000Z | 2022-03-12T01:03:39.000Z | mayan/apps/metadata/urls.py | mbehrle/mayan-edms | 9ebf27d2ea1666eaa36ad6ddc0fb9c6accf5cced | [
"Apache-2.0"
] | null | null | null | from __future__ import unicode_literals
from django.conf.urls import patterns, url
from .api_views import (
APIDocumentMetadataListView, APIDocumentMetadataView,
APIDocumentTypeMetadataTypeOptionalListView,
APIDocumentTypeMetadataTypeRequiredListView,
APIDocumentTypeMetadataTypeRequiredView, APIMetada... | 68.47619 | 192 | 0.735396 |
b68168114934cd7ae924564b1f2e32801a406a63 | 8,679 | py | Python | byfon/cell.py | LyricLy/byfon | 83e771c9210b242282cdac96f06e3bdc5d4f39c4 | [
"MIT"
] | 5 | 2020-04-08T10:04:52.000Z | 2021-08-10T10:01:20.000Z | byfon/cell.py | LyricLy/byfon | 83e771c9210b242282cdac96f06e3bdc5d4f39c4 | [
"MIT"
] | null | null | null | byfon/cell.py | LyricLy/byfon | 83e771c9210b242282cdac96f06e3bdc5d4f39c4 | [
"MIT"
] | 1 | 2020-04-09T14:22:03.000Z | 2020-04-09T14:22:03.000Z | from contextlib import contextmanager
import sys
from .errors import FreedCellError
from .logical import And, Or
from .while_ import while_expr
def need_alloc(func):
def new_meth(self, *args):
for arg in args:
if func.__name__ != "mov" and getattr(arg, "freed", False):
raise F... | 30.667845 | 181 | 0.564696 |
bccba898db172a9e612927812d096d49ee8480b0 | 1,564 | py | Python | tests/test_vigenere.py | GuptaAyush19/Vigenere-Cipher | 9e3d5d1cca07010ff7e7bc5c37cfee357d12d84b | [
"MIT"
] | 3 | 2020-12-29T11:42:09.000Z | 2021-10-30T10:12:31.000Z | tests/test_vigenere.py | GuptaAyush19/Vigenere-Cipher | 9e3d5d1cca07010ff7e7bc5c37cfee357d12d84b | [
"MIT"
] | null | null | null | tests/test_vigenere.py | GuptaAyush19/Vigenere-Cipher | 9e3d5d1cca07010ff7e7bc5c37cfee357d12d84b | [
"MIT"
] | 1 | 2021-08-18T23:16:58.000Z | 2021-08-18T23:16:58.000Z | import unittest
import vigenere
import random
class TestVigenere(unittest.TestCase):
def setUp(self):
self.key_size = 100
self.valid_char = [chr(i) for i in range(43, 123)]
self.not_int = ["string", 1j, 3.14]
@staticmethod
def random_text(size=20):
text_list = ... | 35.545455 | 78 | 0.597187 |
a3c4e6be59c3105b93b89656d5e2a21dd6e0b2e4 | 1,201 | py | Python | tests/test_viewsets.py | bensiu/django-rest-framework | 28e8895b8abcc65457862c828b1118a9d722c8ed | [
"BSD-2-Clause"
] | 1 | 2020-03-18T22:31:29.000Z | 2020-03-18T22:31:29.000Z | tests/test_viewsets.py | bensiu/django-rest-framework | 28e8895b8abcc65457862c828b1118a9d722c8ed | [
"BSD-2-Clause"
] | 1 | 2017-11-22T07:48:52.000Z | 2017-11-22T07:48:52.000Z | tests/test_viewsets.py | bensiu/django-rest-framework | 28e8895b8abcc65457862c828b1118a9d722c8ed | [
"BSD-2-Clause"
] | 1 | 2020-05-13T00:31:27.000Z | 2020-05-13T00:31:27.000Z | from django.test import TestCase
from rest_framework import status
from rest_framework.response import Response
from rest_framework.test import APIRequestFactory
from rest_framework.viewsets import GenericViewSet
factory = APIRequestFactory()
class BasicViewSet(GenericViewSet):
def list(self, request, *args, **... | 33.361111 | 72 | 0.642798 |
af9e6072e13fc920414a76db1dbea52cd9e59eca | 68,048 | py | Python | ionoscloud/api/network_interfaces_api.py | ionos-cloud/ionos-cloud-sdk-python | 3c5804697c262898e6f6a438dc40e1b45a4bb5c9 | [
"Apache-2.0"
] | null | null | null | ionoscloud/api/network_interfaces_api.py | ionos-cloud/ionos-cloud-sdk-python | 3c5804697c262898e6f6a438dc40e1b45a4bb5c9 | [
"Apache-2.0"
] | null | null | null | ionoscloud/api/network_interfaces_api.py | ionos-cloud/ionos-cloud-sdk-python | 3c5804697c262898e6f6a438dc40e1b45a4bb5c9 | [
"Apache-2.0"
] | null | null | null | from __future__ import absolute_import
import re # noqa: F401
import six
from ionoscloud.api_client import ApiClient
from ionoscloud.exceptions import ( # noqa: F401
ApiTypeError,
ApiValueError
)
class NetworkInterfacesApi(object):
def __init__(self, api_client=None):
if api_client is None:
... | 58.360206 | 451 | 0.638887 |
c016a78b365ff3d83a68401feed386ac0f8160f8 | 2,354 | py | Python | examples/imagenet_logits.py | sis0truk/pretrained-models.pytorch | 4aea6d47996279b4b281355ca3d9738d0dff7469 | [
"BSD-3-Clause"
] | 91 | 2018-03-21T19:45:00.000Z | 2021-12-13T06:08:00.000Z | examples/imagenet_logits.py | wubin1836/pretrained-models.pytorch | cb5127f43c554c0bb52c5ded3c071d9de9a514a4 | [
"BSD-3-Clause"
] | 6 | 2019-08-03T08:49:21.000Z | 2022-03-11T23:43:56.000Z | examples/imagenet_logits.py | wubin1836/pretrained-models.pytorch | cb5127f43c554c0bb52c5ded3c071d9de9a514a4 | [
"BSD-3-Clause"
] | 13 | 2018-03-23T12:31:52.000Z | 2020-07-20T13:16:44.000Z | import argparse
from PIL import Image
import torch
import torchvision.transforms as transforms
import sys
sys.path.append('.')
import pretrainedmodels
import pretrainedmodels.utils as utils
model_names = sorted(name for name in pretrainedmodels.__dict__
if not name.startswith("__")
and name.islower()
and... | 32.694444 | 75 | 0.608751 |
7a48fcbaa9c3efd46f5f396a4fddde42f201fbbd | 14,698 | py | Python | utils/voc_evaluation.py | TheSeriousProgrammer/Keras_QuickNet_SSD | 1c5accfa8d6ae16dab035ba9097fe8670680bdc2 | [
"MIT"
] | 12 | 2020-09-28T19:56:06.000Z | 2022-03-16T06:27:01.000Z | utils/voc_evaluation.py | 500swapnil/TensorflowKeras-Efficientnet-SSD | 30c3c7ac8a2c05cc60fb4635a3f954c45e46108a | [
"MIT"
] | 4 | 2021-05-20T21:47:44.000Z | 2021-10-10T12:33:12.000Z | utils/voc_evaluation.py | 500swapnil/TensorflowKeras-Efficientnet-SSD | 30c3c7ac8a2c05cc60fb4635a3f954c45e46108a | [
"MIT"
] | 1 | 2021-05-20T21:41:11.000Z | 2021-05-20T21:41:11.000Z | # Evalutation code from https://github.com/chainer/chainercv
from collections import defaultdict
import itertools
import numpy as np
import six
def bbox_iou(bbox_a, bbox_b):
"""Calculate the Intersection of Unions (IoUs) between bounding boxes.
IoU is calculated as a ratio of area of the intersection... | 44.539394 | 80 | 0.572255 |
98a52a0f274ab10cecd65f0fbaed260cd1ac9484 | 4,052 | py | Python | sdk/python/pulumi_aws/eks/cluster.py | pulumi-bot/pulumi-aws | 756c60135851e015232043c8206567101b8ebd85 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/eks/cluster.py | pulumi-bot/pulumi-aws | 756c60135851e015232043c8206567101b8ebd85 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/eks/cluster.py | pulumi-bot/pulumi-aws | 756c60135851e015232043c8206567101b8ebd85 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import pulumi
import pulumi.runtime
class Cluster(pulumi.CustomResource):
"""
Manages an EKS Cluster.
"""
def __init__... | 42.208333 | 448 | 0.638697 |
b751773e0d8a34d42ceb97cf1668b9edc46325ab | 7,485 | py | Python | dask_jobqueue/htcondor.py | lpsinger/dask-jobqueue | bff96a329439c23414bd0cb11c0ee8e67145d96b | [
"BSD-3-Clause"
] | 1 | 2019-07-25T08:39:44.000Z | 2019-07-25T08:39:44.000Z | dask_jobqueue/htcondor.py | lpsinger/dask-jobqueue | bff96a329439c23414bd0cb11c0ee8e67145d96b | [
"BSD-3-Clause"
] | 1 | 2019-04-19T16:36:32.000Z | 2019-04-19T16:36:32.000Z | dask_jobqueue/htcondor.py | zonca/dask-jobqueue | 55b3c329ec54d708dd041f87723b28c332a6406e | [
"BSD-3-Clause"
] | null | null | null | from __future__ import absolute_import, division, print_function
import logging
import re
import shlex
import dask
from distributed.utils import parse_bytes
from .core import JobQueueCluster, docstrings
logger = logging.getLogger(__name__)
class HTCondorCluster(JobQueueCluster):
__doc__ = docstrings.with_inde... | 33.266667 | 107 | 0.585438 |
b02b9d753349dfef40ab9e8159dca35f0b86ca53 | 911 | py | Python | app.py | LoganCButler/BostonHousesDataScience | 3cfaa102bfbbc47fe566eb1288d4c49d5672eaf1 | [
"MIT"
] | null | null | null | app.py | LoganCButler/BostonHousesDataScience | 3cfaa102bfbbc47fe566eb1288d4c49d5672eaf1 | [
"MIT"
] | null | null | null | app.py | LoganCButler/BostonHousesDataScience | 3cfaa102bfbbc47fe566eb1288d4c49d5672eaf1 | [
"MIT"
] | null | null | null |
### TODO ###
import numpy as np
from flask import Flask, request, jsonify
import pickle
from pandas import DataFrame
import pandas as pd
import math
app = Flask(__name__)
# Load the model
model = pickle.load(open('model.pkl','rb'))
@app.route('/predict',methods=['POST'])
def predict():
# Get the data from th... | 23.973684 | 62 | 0.632272 |
9209f156263e9dd9fa17ad17704bae763713880f | 8,821 | py | Python | sdk/network/azure-mgmt-network/azure/mgmt/network/v2020_04_01/aio/operations_async/_available_private_endpoint_types_operations_async.py | LianwMS/azure-sdk-for-python | 612d7bca9de86ee1bd1fa59291d7bf897ba9213f | [
"MIT"
] | 2 | 2019-05-17T21:24:53.000Z | 2020-02-12T11:13:42.000Z | sdk/network/azure-mgmt-network/azure/mgmt/network/v2020_04_01/aio/operations_async/_available_private_endpoint_types_operations_async.py | LianwMS/azure-sdk-for-python | 612d7bca9de86ee1bd1fa59291d7bf897ba9213f | [
"MIT"
] | 15 | 2019-07-12T18:18:04.000Z | 2019-07-25T20:55:51.000Z | sdk/network/azure-mgmt-network/azure/mgmt/network/v2020_04_01/aio/operations_async/_available_private_endpoint_types_operations_async.py | LianwMS/azure-sdk-for-python | 612d7bca9de86ee1bd1fa59291d7bf897ba9213f | [
"MIT"
] | 2 | 2020-05-21T22:51:22.000Z | 2020-05-26T20:53:01.000Z | # 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 may ... | 48.202186 | 210 | 0.660469 |
adcb42483eaae3ab2307edadf4ecf1a284030744 | 7,180 | py | Python | sdk/python/pulumi_azure_native/recoveryservices/v20180710/replication_storage_classification_mapping.py | pulumi-bot/pulumi-azure-native | f7b9490b5211544318e455e5cceafe47b628e12c | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/recoveryservices/v20180710/replication_storage_classification_mapping.py | pulumi-bot/pulumi-azure-native | f7b9490b5211544318e455e5cceafe47b628e12c | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/recoveryservices/v20180710/replication_storage_classification_mapping.py | pulumi-bot/pulumi-azure-native | f7b9490b5211544318e455e5cceafe47b628e12c | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from... | 50.20979 | 959 | 0.689276 |
286b8f9ed9e590590c8b33de167185ddedd3bd07 | 3,963 | py | Python | poem_generator/word_network.py | Aaronsom/poem-generation | 10cccad88d073f82f6556374fdfb23a5b5e3769a | [
"MIT"
] | null | null | null | poem_generator/word_network.py | Aaronsom/poem-generation | 10cccad88d073f82f6556374fdfb23a5b5e3769a | [
"MIT"
] | null | null | null | poem_generator/word_network.py | Aaronsom/poem-generation | 10cccad88d073f82f6556374fdfb23a5b5e3769a | [
"MIT"
] | null | null | null | from keras.models import Sequential
from keras.layers import Dense, Embedding, Flatten, Dropout, CuDNNLSTM, CuDNNGRU, Conv1D, GlobalMaxPool1D, Bidirectional
from keras.callbacks import ModelCheckpoint, CSVLogger
import keras.optimizers as optimizer
from keras.backend import set_floatx, set_epsilon
from poem_generator.d... | 39.63 | 134 | 0.700479 |
213ec011e8a81bdd502b93b83c111cddc34df6fe | 421 | py | Python | leetcode/2140.py | ShengyuanWang/ShengyuanWang.github.io | b43f867a1b140b78f8031725cff212b43ecd001b | [
"MIT"
] | 1 | 2022-01-20T21:12:00.000Z | 2022-01-20T21:12:00.000Z | leetcode/2140.py | ShengyuanWang/ShengyuanWang.github.io | b43f867a1b140b78f8031725cff212b43ecd001b | [
"MIT"
] | null | null | null | leetcode/2140.py | ShengyuanWang/ShengyuanWang.github.io | b43f867a1b140b78f8031725cff212b43ecd001b | [
"MIT"
] | null | null | null | class Solution:
def mostPoints(self, questions: List[List[int]]) -> int:
n = len(questions)
dp = [0] * n
for i in range(n-1, -1, -1):
end = i + questions[i][1] + 1
dp[i] = questions[i][0]
if end < n:
dp[i] = questions[i][0] + dp[en... | 28.066667 | 60 | 0.396675 |
13597aaa99b116cebede6673234f74056d5edee8 | 343 | py | Python | Python/mp.py | kaehsu/template-bash | f8a8a4babb8537622a4e4246701761a9832d6aeb | [
"MIT"
] | null | null | null | Python/mp.py | kaehsu/template-bash | f8a8a4babb8537622a4e4246701761a9832d6aeb | [
"MIT"
] | null | null | null | Python/mp.py | kaehsu/template-bash | f8a8a4babb8537622a4e4246701761a9832d6aeb | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import multiprocessing
import os
def whoami(what):
print("Process {} says: {}".format(os.getpid(), what))
if __name__ == '__main__':
whoami("I'm the main program")
for n in range(64):
p = multiprocessing.Process(
target=whoami, args=("I'm function %s" % n,))
... | 19.055556 | 58 | 0.603499 |
895e9d276904e7fa11b694d30b5ae016a1bb3e99 | 414 | py | Python | models/dpt_model/dpt_arguments.py | DominikSpiljak/depth-prediction | 6a35579b121b34ed5b423b0f042e1d9b78f0120f | [
"Apache-2.0"
] | null | null | null | models/dpt_model/dpt_arguments.py | DominikSpiljak/depth-prediction | 6a35579b121b34ed5b423b0f042e1d9b78f0120f | [
"Apache-2.0"
] | 1 | 2022-03-30T20:45:28.000Z | 2022-03-30T20:45:28.000Z | models/dpt_model/dpt_arguments.py | DominikSpiljak/depth-prediction | 6a35579b121b34ed5b423b0f042e1d9b78f0120f | [
"Apache-2.0"
] | null | null | null | def add_model_args(parser):
dpt = parser.add_argument_group("DPT")
dpt.add_argument(
"--no-backbone-pretrain",
action="store_false",
dest="backbone_pretrained",
)
dpt.add_argument(
"--pretrained-weights",
help="Path to pretrained weights for DPT hybrid model",
... | 29.571429 | 72 | 0.647343 |
f5645c771f767bc63f193c1d2dc45757a3552ae6 | 1,208 | py | Python | locallibrary/locallibrary/urls.py | waltermaina/local-library-website | ac0f6d9c6cd79f891d196c707327717282fcc9cb | [
"MIT"
] | null | null | null | locallibrary/locallibrary/urls.py | waltermaina/local-library-website | ac0f6d9c6cd79f891d196c707327717282fcc9cb | [
"MIT"
] | null | null | null | locallibrary/locallibrary/urls.py | waltermaina/local-library-website | ac0f6d9c6cd79f891d196c707327717282fcc9cb | [
"MIT"
] | null | null | null | """locallibrary URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-... | 41.655172 | 81 | 0.729305 |
3b2ef0192c0ba1975403c6244c371471321656f9 | 34,920 | py | Python | emotion_model/classifiers.py | Bonsior-yyc/weibo | 75e7e1df54b22d7985934b188c31dd413222c856 | [
"MIT"
] | null | null | null | emotion_model/classifiers.py | Bonsior-yyc/weibo | 75e7e1df54b22d7985934b188c31dd413222c856 | [
"MIT"
] | null | null | null | emotion_model/classifiers.py | Bonsior-yyc/weibo | 75e7e1df54b22d7985934b188c31dd413222c856 | [
"MIT"
] | null | null | null | import re
from collections import defaultdict
import jieba
import numpy as np
from jieba import posseg
# ################################################
# classifier based on sentiment f_dict
# ################################################
class DictClassifier:
def __init__(self):
self.__root_filepat... | 40.045872 | 119 | 0.548597 |
c4dbde89f7f91fa8096df1a20692af060fde099c | 7,212 | py | Python | ven2/lib/python2.7/site-packages/zope/browserresource/tests/test_icondirective.py | manliu1225/Facebook_crawler | 0f75a1c4382dd4effc3178d84b99b0cad97337cd | [
"Apache-2.0"
] | 1 | 2019-11-30T07:47:08.000Z | 2019-11-30T07:47:08.000Z | ven2/lib/python2.7/site-packages/zope/browserresource/tests/test_icondirective.py | manliu1225/Facebook_crawler | 0f75a1c4382dd4effc3178d84b99b0cad97337cd | [
"Apache-2.0"
] | 10 | 2016-03-24T07:52:07.000Z | 2020-03-02T09:52:06.000Z | ven2/lib/python2.7/site-packages/zope/browserresource/tests/test_icondirective.py | manliu1225/Facebook_crawler | 0f75a1c4382dd4effc3178d84b99b0cad97337cd | [
"Apache-2.0"
] | 2 | 2015-04-03T08:18:34.000Z | 2019-12-09T09:36:43.000Z | ##############################################################################
#
# Copyright (c) 2001, 2002 Zope Foundation and Contributors.
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# TH... | 34.84058 | 78 | 0.584997 |
8a919ca3de4e6c25e69332bf8eaf1b984bf9d0a4 | 5,065 | py | Python | DAE.py | butroy/movie-autoencoder | d18a54ecf7145f6cbda2d2233d4ff53056812b11 | [
"Apache-2.0"
] | null | null | null | DAE.py | butroy/movie-autoencoder | d18a54ecf7145f6cbda2d2233d4ff53056812b11 | [
"Apache-2.0"
] | null | null | null | DAE.py | butroy/movie-autoencoder | d18a54ecf7145f6cbda2d2233d4ff53056812b11 | [
"Apache-2.0"
] | null | null | null | import tensorflow as tf
import model_helper
class DAE:
def __init__(self, FLAGS):
''' Imlimentation of deep autoencoder class.'''
self.FLAGS=FLAGS
self.weight_initializer=model_helper._get_weight_initializer()
self.bias_initializer=model_helper._get_bias_initializer()... | 44.043478 | 139 | 0.616387 |
b4a064baf22660a80b25ada5585870602b870d62 | 2,677 | py | Python | tests/test_metadata.py | solanolabs/sphinx | d22cfb08a4a3013c92a65b357d814caf676dc238 | [
"BSD-2-Clause"
] | null | null | null | tests/test_metadata.py | solanolabs/sphinx | d22cfb08a4a3013c92a65b357d814caf676dc238 | [
"BSD-2-Clause"
] | null | null | null | tests/test_metadata.py | solanolabs/sphinx | d22cfb08a4a3013c92a65b357d814caf676dc238 | [
"BSD-2-Clause"
] | 9 | 2015-08-26T19:59:06.000Z | 2022-03-07T17:10:06.000Z | # -*- coding: utf-8 -*-
"""
test_metadata
~~~~~~~~~~~~~
Test our handling of metadata in files with bibliographic metadata.
:copyright: Copyright 2007-2013 by the Sphinx team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
# adapted from an example of bibliographic metadata at
# http://... | 38.242857 | 80 | 0.63093 |
09412056cf1fd2a8310ead40da4fafcacd1c7d93 | 436 | py | Python | Django_Stuff/users_security/basic_app/forms.py | muhammad-mamdouh/Django_Projects | 1f31e12aefb36b33474256db40a2c551882f445e | [
"MIT"
] | null | null | null | Django_Stuff/users_security/basic_app/forms.py | muhammad-mamdouh/Django_Projects | 1f31e12aefb36b33474256db40a2c551882f445e | [
"MIT"
] | 40 | 2020-06-05T22:10:58.000Z | 2022-03-11T23:56:09.000Z | Django_Stuff/users_security/basic_app/forms.py | muhammad-mamdouh/Django_Projects | 1f31e12aefb36b33474256db40a2c551882f445e | [
"MIT"
] | 1 | 2021-03-31T10:30:03.000Z | 2021-03-31T10:30:03.000Z | from django import forms
from django.contrib.auth.models import User
from .models import UserProfileInfo
class UserForm(forms.ModelForm):
password = forms.CharField(widget=forms.PasswordInput())
class Meta:
model = User
fields = ('username', 'email', 'password')
class UserProfileInfoForm(fo... | 22.947368 | 60 | 0.699541 |
15419a9df808b20258440dbd062895af01f629c0 | 1,821 | py | Python | back-end/migrations/versions/bca0417f931d_comments_table_upgrade.py | Asterisme/flask-vuejs-madblog | 5c215f5cb9eefb61c6c230b1cc26a2797b8ec280 | [
"MIT"
] | null | null | null | back-end/migrations/versions/bca0417f931d_comments_table_upgrade.py | Asterisme/flask-vuejs-madblog | 5c215f5cb9eefb61c6c230b1cc26a2797b8ec280 | [
"MIT"
] | null | null | null | back-end/migrations/versions/bca0417f931d_comments_table_upgrade.py | Asterisme/flask-vuejs-madblog | 5c215f5cb9eefb61c6c230b1cc26a2797b8ec280 | [
"MIT"
] | null | null | null | """comments table upgrade
Revision ID: bca0417f931d
Revises: 5adcf0f4bbfa
Create Date: 2020-04-10 17:48:35.215063
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'bca0417f931d'
down_revision = '5adcf0f4bbfa'
branch_labels = None
depends_on = None
def upgrade(... | 35.019231 | 91 | 0.675453 |
41e8f3b80673dd316b4f6211fcbd46743b4461e9 | 446 | py | Python | test/servers_test/test_portal.py | AnonymousAuthor2013/KnowAlpha | 7332231bbb34d7dcdab796aa20fc561dbca1fb76 | [
"MIT"
] | 2 | 2019-06-25T02:46:37.000Z | 2019-12-02T11:26:16.000Z | test/servers_test/test_portal.py | AnonymousAuthor2013/KnowAlpha | 7332231bbb34d7dcdab796aa20fc561dbca1fb76 | [
"MIT"
] | 1 | 2019-07-18T03:45:28.000Z | 2019-07-18T03:45:28.000Z | test/servers_test/test_portal.py | AnonymousAuthor2013/KnowAlpha | 7332231bbb34d7dcdab796aa20fc561dbca1fb76 | [
"MIT"
] | 4 | 2019-06-23T13:49:07.000Z | 2019-06-25T12:21:59.000Z | from programmingalpha.MainPortal.Requester import RequesterServices
import logging
logger = logging.getLogger()
logger.setLevel(logging.INFO)
fmt = logging.Formatter('%(asctime)s: [ %(message)s ]', '%m/%d/%Y %I:%M:%S %p')
console = logging.StreamHandler()
console.setFormatter(fmt)
logger.addHandler(console)
config_fi... | 26.235294 | 79 | 0.773543 |
f23f7871462c4d113917fef2b4536d3abedd6259 | 103 | py | Python | venv/lib/python2.7/_weakrefset.py | IdeasBlockLT/emem | a3f6e1950e9a074fbb696728778b22d6f523c3df | [
"MIT"
] | null | null | null | venv/lib/python2.7/_weakrefset.py | IdeasBlockLT/emem | a3f6e1950e9a074fbb696728778b22d6f523c3df | [
"MIT"
] | 9 | 2019-12-04T23:15:54.000Z | 2022-02-10T11:05:43.000Z | venv/lib/python2.7/_weakrefset.py | edbolivar/perfectpair | c165cff40353c602fe0dc418375b90e9b25de674 | [
"MIT"
] | null | null | null | /usr/local/Cellar/python@2/2.7.16/Frameworks/Python.framework/Versions/2.7/lib/python2.7/_weakrefset.py | 103 | 103 | 0.815534 |
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