xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

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134

py

Python

farms2face/myaccount/apps.py

dev1farms2face/f2f

54e58187a68574bf2bd0dfb7e58a2b416336106a

[ "MIT" ]

null

farms2face/myaccount/apps.py

dev1farms2face/f2f

54e58187a68574bf2bd0dfb7e58a2b416336106a

[ "MIT" ]

null

farms2face/myaccount/apps.py

dev1farms2face/f2f

54e58187a68574bf2bd0dfb7e58a2b416336106a

[ "MIT" ]

2

2018-06-19T12:12:08.000Z

2018-06-25T18:45:36.000Z

from __future__ import unicode_literals from django.apps import AppConfig class MyaccountConfig(AppConfig): name = 'myaccount'

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Python

softuniada_2019/03_nexus.py

elenaborisova/Softuniada-Hackathon

0816cb560fe76791f1f419e1de7cb6d50de7ea4a

[ "MIT" ]

null

softuniada_2019/03_nexus.py

elenaborisova/Softuniada-Hackathon

0816cb560fe76791f1f419e1de7cb6d50de7ea4a

[ "MIT" ]

null

softuniada_2019/03_nexus.py

elenaborisova/Softuniada-Hackathon

0816cb560fe76791f1f419e1de7cb6d50de7ea4a

[ "MIT" ]

null

first_sequence = list(map(int, input().split())) second_sequence = list(map(int, input().split())) line = input() while not line == 'nexus': first_pair, second_pair = line.split('|') first_list_index1, second_list_index1 = list(map(int, first_pair.split(':'))) first_list_index2, second_list_index2 = list(map(int, second_pair.split(':'))) if first_list_index1 < second_list_index1 \ and first_list_index2 > second_list_index2 \ and first_list_index1 < first_list_index2 \ and second_list_index1 > second_list_index2: connected_elements_sum = first_sequence[first_list_index1] + first_sequence[first_list_index2] \ + second_sequence[second_list_index1] + second_sequence[second_list_index2] first_sequence = first_sequence[:first_list_index1] + first_sequence[first_list_index2+1:] first_sequence = [el + connected_elements_sum for el in first_sequence] second_sequence = second_sequence[:second_list_index2] + second_sequence[second_list_index1+1:] second_sequence = [el + connected_elements_sum for el in second_sequence] elif first_list_index1 > second_list_index1 \ and first_list_index2 < second_list_index2 \ and first_list_index2 < first_list_index1 \ and second_list_index1 < second_list_index2: connected_elements_sum = first_sequence[first_list_index1] + first_sequence[first_list_index2] \ + second_sequence[second_list_index1] + second_sequence[second_list_index2] first_sequence = first_sequence[:first_list_index2] + first_sequence[first_list_index1 + 1:] first_sequence = [el + connected_elements_sum for el in first_sequence] second_sequence = second_sequence[:second_list_index1] + second_sequence[second_list_index2 + 1:] second_sequence = [el + connected_elements_sum for el in second_sequence] line = input() print(', '.join(map(str, first_sequence))) print(', '.join(map(str, second_sequence)))

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py

Python

traffic/data/faa/__init__.py

Wirden/traffic

c3cafc4298536538a6c8e73c6ec1bde1c8050021

[ "MIT" ]

1

2020-01-30T08:21:07.000Z

traffic/data/faa/__init__.py

Wirden/traffic

c3cafc4298536538a6c8e73c6ec1bde1c8050021

[ "MIT" ]

null

traffic/data/faa/__init__.py

Wirden/traffic

c3cafc4298536538a6c8e73c6ec1bde1c8050021

[ "MIT" ]

null

from .airspace_boundaries import get_airspaces airspaces = get_airspaces()

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561e3f7af3ae865049cb29f91be4d296c6a5866c

261

py

Python

model/__init__.py

PKULiuHui/LiveBlogSum

b6a22521ee454e649981d70ddca6c89a1bac5a4c

[ "MIT" ]

null

model/__init__.py

PKULiuHui/LiveBlogSum

b6a22521ee454e649981d70ddca6c89a1bac5a4c

[ "MIT" ]

null

model/__init__.py

PKULiuHui/LiveBlogSum

b6a22521ee454e649981d70ddca6c89a1bac5a4c

[ "MIT" ]

null

from .Model1 import Model1 from .Model2 import Model2 from .Model3 import Model3 from .Model4 import Model4 from .Model5 import Model5 from .myLoss1 import myLoss1 from .myLoss2 import myLoss2 from .myLoss3 import myLoss3 from .hinge_loss_1 import hinge_loss_1

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562149f21e351bc18393376dcf0fdafabd22a9f5

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py

Python

homepage/views.py

noelsj007/ecommerceweb

e00edfe9110d2cc54deebd97043e0aa152c8afd4

[ "Unlicense" ]

null

homepage/views.py

noelsj007/ecommerceweb

e00edfe9110d2cc54deebd97043e0aa152c8afd4

[ "Unlicense" ]

null

homepage/views.py

noelsj007/ecommerceweb

e00edfe9110d2cc54deebd97043e0aa152c8afd4

[ "Unlicense" ]

null

from django.shortcuts import render, redirect from homepage.models import Item from django.views.generic import ListView, DetailView # Create your views here. def index(request): items = Item() items = Item.objects.all() return render(request, 'index.html', {'items': items}) """ def show(request): items = Item() items = Item.objects.all() return render(request, 'index.html', {'items':items}) """ def Aboutus(request): return render(request, 'aboutus.html') def store(request): return render(request, 'store.html') def News(request): return render(request, 'news.html') def home(request): return render(request, 'home.html') """ def buynow(request): text = "Payment gateway will be added soon" return render(request, 'buynow.html', {'text' : text}) """ def searchbar(request): if request.method == "POST": search = request.POST['searchbar'] items = Item.objects.filter(item_name__contains= search) return render(request, 'showitems.html', {'items': items}) def itemdetails(request, itemid): item = Item.objects.get(pk= itemid) return render(request, "itemdetails.html", {'item': item})

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563d807af7df946a5f37b79ec14f9cdbfbdd6811

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py

Python

plugins/carbon_black_response/komand_carbon_black_response/actions/__init__.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

46

2019-06-05T20:47:58.000Z

2022-03-29T10:18:01.000Z

plugins/carbon_black_response/komand_carbon_black_response/actions/__init__.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

386

2019-06-07T20:20:39.000Z

2022-03-30T17:35:01.000Z

plugins/carbon_black_response/komand_carbon_black_response/actions/__init__.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

43

2019-07-09T14:13:58.000Z

2022-03-28T12:04:46.000Z

# GENERATED BY KOMAND SDK - DO NOT EDIT from .add_feed.action import AddFeed from .add_watchlist.action import AddWatchlist from .blacklist_hash.action import BlacklistHash from .delete_feed.action import DeleteFeed from .delete_watchlist.action import DeleteWatchlist from .get_binary.action import GetBinary from .isolate_sensor.action import IsolateSensor from .list_alerts.action import ListAlerts from .list_binaries.action import ListBinaries from .list_feeds.action import ListFeeds from .list_processes.action import ListProcesses from .list_sensors.action import ListSensors from .list_watchlists.action import ListWatchlists from .unisolate_sensor.action import UnisolateSensor from .update_alert.action import UpdateAlert

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5656f1ca37828c8652b5310811ebc0c2daf0b84b

83

py

Python

api/telegram/__init__.py

wkpn/wkpnbot

09bd9c6b9afd9aaf129be2d3121e9bf26fbe7712

[ "MIT" ]

1

2021-07-14T21:34:08.000Z

api/telegram/__init__.py

wkpn/wkpnbot

09bd9c6b9afd9aaf129be2d3121e9bf26fbe7712

[ "MIT" ]

null

api/telegram/__init__.py

wkpn/wkpnbot

09bd9c6b9afd9aaf129be2d3121e9bf26fbe7712

[ "MIT" ]

null

from .config import SECRET from .dispatcher import dp __all__ = ["dp", "SECRET"]

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5658492547147552ff1738eebe65c987fdf5f3f0

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py

Python

preprocessing/classes/base/Preprocessor.py

canary-for-cognition/multimodal-dl-framework

54ebd3c6dcdfc48ed619316321d9f0e7a5f0fc9c

[ "MIT" ]

2

2021-08-31T08:58:30.000Z

2021-09-02T14:32:30.000Z

preprocessing/classes/base/Preprocessor.py

canary-for-cognition/multimodal-nn-framework

7733376b05840e2b3dead438dd3981db9694b6ae

[ "MIT" ]

5

2020-09-22T04:29:25.000Z

2020-12-20T16:16:47.000Z

preprocessing/classes/base/Preprocessor.py

canary-for-cognition/multimodal-nn-framework

7733376b05840e2b3dead438dd3981db9694b6ae

[ "MIT" ]

1

2021-02-09T18:40:55.000Z

from preprocessing.classes.base.PipelineComponent import PipelineComponent from preprocessing.classes.utils.Params import Params class Preprocessor(PipelineComponent): def __init__(self, preprocessor_type: str): super().__init__() self._params = Params.load_preprocessor_params(preprocessor_type)

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568e25dd53481a19a523ccc54df2ae674435e43d

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py

Python

xicsrt/objects/__init__.py

PrincetonUniversity/xicsrt

15dfe5e3cd8ac6a326e8f0e502c8b739bd09d3fd

[ "MIT" ]

1

2021-07-21T17:07:31.000Z

xicsrt/objects/__init__.py

PrincetonUniversity/xicsrt

15dfe5e3cd8ac6a326e8f0e502c8b739bd09d3fd

[ "MIT" ]

null

xicsrt/objects/__init__.py

PrincetonUniversity/xicsrt

15dfe5e3cd8ac6a326e8f0e502c8b739bd09d3fd

[ "MIT" ]

null

""" Contains various base objects used in XICSRT. """

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3b1cbef1ada6c7e1ad0a31094bfa6fe6aac5e750

204

py

Python

webfriend/rpc/console.py

PerformLine/webfriend

579f226f94b937f8685454235d1653a9ee542c36

[ "BSD-2-Clause" ]

32

2017-05-31T01:52:17.000Z

2021-12-15T18:06:09.000Z

webfriend/rpc/console.py

PerformLine/webfriend

579f226f94b937f8685454235d1653a9ee542c36

[ "BSD-2-Clause" ]

4

2017-06-14T03:53:19.000Z

2022-01-17T14:29:08.000Z

webfriend/rpc/console.py

PerformLine/webfriend

579f226f94b937f8685454235d1653a9ee542c36

[ "BSD-2-Clause" ]

2

2020-07-20T20:12:48.000Z

2022-03-23T08:35:59.000Z

from __future__ import absolute_import from webfriend.rpc import Base class Console(Base): """ See: https://chromedevtools.github.io/devtools-protocol/tot/Console """ domain = 'Console'

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3b434071a3ea8f257ef858a2024c3e3afb402eb4

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py

Python

autoanalysis/tests/SlideCrop/TIFFImageCropperTest.py

QBI-Microscopy/BatchCrop

115e2a1d1f3dff3f5e7d4243c10fd609a66fe9c9

[ "MIT" ]

null

autoanalysis/tests/SlideCrop/TIFFImageCropperTest.py

QBI-Microscopy/BatchCrop

115e2a1d1f3dff3f5e7d4243c10fd609a66fe9c9

[ "MIT" ]

4

2021-03-31T18:44:21.000Z

2022-03-11T23:17:58.000Z

autoanalysis/tests/SlideCrop/TIFFImageCropperTest.py

QBI-Microscopy/BatchCrop

115e2a1d1f3dff3f5e7d4243c10fd609a66fe9c9

[ "MIT" ]

null

class TIFFImageCropperTest(object): """ Test Suite for TIFFImageCropper. """ pass

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3b6105d10f702a4614f3ee2b58a1b75ede1dd748

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py

Python

paper/plots.py

ii-research-yu/pgbm

d050a5f71f1a458d8269c4f5201744c0d7c4d487

[ "Apache-2.0" ]

79

2021-06-02T06:59:08.000Z

2022-03-10T20:27:02.000Z

paper/plots.py

ii-research-yu/pgbm

d050a5f71f1a458d8269c4f5201744c0d7c4d487

[ "Apache-2.0" ]

11

2021-06-07T17:39:34.000Z

2022-01-10T14:00:21.000Z

paper/plots.py

ii-research-yu/pgbm

d050a5f71f1a458d8269c4f5201744c0d7c4d487

[ "Apache-2.0" ]

10

2021-06-08T01:04:03.000Z

2022-03-31T23:41:23.000Z

# -*- coding: utf-8 -*- """ Created on Wed Jan 27 08:53:20 2021 @author: ospra """ #%% import pandas as pd import matplotlib.pyplot as plt import seaborn as sns sns.set(rc={'text.usetex' : True}, style='white') # sns.set_style("white") #%% Load values algorithms = ['pgbm_gpu','lightgbm_cpu','ngboost_cpu'] filename = 'experiments/01_uci_benchmark/exp1_' df = pd.DataFrame() for algorithm in algorithms: dfc = pd.read_csv(filename + algorithm + '.csv', index_col=0) df = pd.concat((df, dfc), axis=0) #%% CRPS data = df[['method', 'dataset', 'crps_test']].copy() data = data[data.method != 'lightgbm'] data = data[data.dataset != 'higgs'] #data['dataset'] = pd.Categorical(data.dataset, categories = ['yacht', 'boston', 'energy', 'concrete', 'wine', 'kin8nm', 'power', 'naval', 'protein','msd']) data.columns = ['Method','Dataset','CRPS'] pgbm_median = data[data.Method == 'pgbm'].groupby(['Dataset'])['CRPS'].median() pgbm_median.name = 'crps_test_pgbm_median' data = pd.merge(data, pgbm_median, how='left', on='Dataset') data['NCRPS'] = data['CRPS'] / data['crps_test_pgbm_median'] colors = ['#ff7f0e','#1f77b4','#2ca02c'] sns.set_palette(sns.color_palette(colors)) datasets = ['yacht', 'boston', 'energy', 'concrete', 'wine', 'kin8nm', 'power', 'naval', 'protein','msd'] fig, axes = plt.subplots(2, 5) for i, ax in enumerate(fig.axes): dataset = datasets[i] subset = data[data.Dataset == dataset] sns.boxplot(ax = ax, x = 'Dataset', y='NCRPS', data = subset, hue='Method', width=1, showfliers=False) ax.set_xticks([]) ax.set_xlabel(xlabel='') ax.set_title(label=dataset, fontsize=24) if i == 0 or i == 5: ax.set_ylabel(ylabel = 'CRPS', fontsize=24) else: ax.set_ylabel(ylabel = '', fontsize=0) ax.tick_params(labelsize=24) # ax.set_yticklabels(ax.get_yticks(), size = 15) ax.spines['top'].set_color('white') ax.spines['right'].set_color('white') ax.legend_.remove() handles, labels = ax.get_legend_handles_labels() leg = fig.legend(handles, labels, loc = 'lower center', ncol=2, fontsize=24) leg.get_frame().set_linewidth(0.0) fig.tight_layout() #%% RMSE data = df[['method', 'dataset', 'rmse_test']].copy() #data = data[data.method != 'lightgbm'] data = data[data.dataset != 'higgs'] #data['dataset'] = pd.Categorical(data.dataset, categories = ['yacht', 'boston', 'energy', 'concrete', 'wine', 'kin8nm', 'power', 'naval', 'protein','msd']) data['method'] = pd.Categorical(data.method, categories = ['pgbm', 'ngboost', 'lightgbm']) data.columns = ['Method','Dataset','RMSE'] pgbm_median = data[data.Method == 'pgbm'].groupby(['Dataset'])['RMSE'].median() pgbm_median.name = 'rmse_test_pgbm_median' data = pd.merge(data, pgbm_median, how='left', on='Dataset') data['NRMSE'] = data['RMSE'] / data['rmse_test_pgbm_median'] colors = ['#ff7f0e','#1f77b4','#2ca02c'] sns.set_palette(sns.color_palette(colors)) datasets = ['yacht', 'boston', 'energy', 'concrete', 'wine', 'kin8nm', 'power', 'naval', 'protein','msd'] fig, axes = plt.subplots(2, 5) for i, ax in enumerate(fig.axes): dataset = datasets[i] subset = data[data.Dataset == dataset] sns.boxplot(ax = ax, x = 'Dataset', y='NRMSE', data = subset, hue='Method', width=1, showfliers=False) ax.set_xticks([]) ax.set_xlabel(xlabel='') ax.set_title(label=dataset, fontsize=24) if i == 0 or i == 5: ax.set_ylabel(ylabel = 'RMSE', fontsize=24) else: ax.set_ylabel(ylabel = '', fontsize=0) ax.tick_params(labelsize=24) ax.spines['top'].set_color('white') ax.spines['right'].set_color('white') ax.legend_.remove() handles, labels = ax.get_legend_handles_labels() leg = fig.legend(handles, labels, loc = 'lower center', ncol=3, fontsize=24) leg.get_frame().set_linewidth(0.0) fig.tight_layout()

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py

Python

tests/fixtures.py

Sigmanificient/DPY-Anti-Spam

d77239097d419d84eea3f1b215c9c6c8cfd55c46

[ "MIT" ]

39

2020-09-18T12:31:55.000Z

2021-11-15T05:04:46.000Z

tests/fixtures.py

Sigmanificient/DPY-Anti-Spam

d77239097d419d84eea3f1b215c9c6c8cfd55c46

[ "MIT" ]

72

2020-09-16T12:38:56.000Z

2021-11-14T16:46:24.000Z

tests/fixtures.py

Sigmanificient/DPY-Anti-Spam

d77239097d419d84eea3f1b215c9c6c8cfd55c46

[ "MIT" ]

18

2020-10-07T17:32:10.000Z

2021-11-14T11:57:39.000Z

import pytest from discord.ext import commands # noqa from antispam import AntiSpamHandler, PluginCache from antispam.core import Core from antispam.caches import MemoryCache from antispam.libs.dpy import DPY from antispam.plugins import AntiMassMention, AntiSpamTracker, Stats, AdminLogs from tests.mocks import MockedMember class MockClass: pass @pytest.fixture def create_bot(): """Creates a commands.Bot instance""" return commands.Bot(command_prefix="!") @pytest.fixture def create_handler(): """Create a simple handler for usage""" return AntiSpamHandler(MockedMember(mock_type="bot").to_mock()) @pytest.fixture def create_plugin_cache(create_handler): """Creates a PluginCache instance""" return PluginCache(create_handler, MockClass()) @pytest.fixture def create_memory_cache(create_handler): return MemoryCache(create_handler) @pytest.fixture def create_core(create_handler): return Core(create_handler) @pytest.fixture def create_anti_mass_mention(create_bot, create_handler): return AntiMassMention(create_bot, create_handler) @pytest.fixture def create_anti_spam_tracker(create_handler): return AntiSpamTracker(create_handler, 3) @pytest.fixture def create_stats(create_handler): return Stats(create_handler) @pytest.fixture def create_dpy_lib_handler(create_handler): return DPY(create_handler) @pytest.fixture def create_admin_logs(create_handler): return AdminLogs(create_handler, "test")

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py

Python

html4vision/__init__.py

connellybarnes/HTML4Vision

cab1a444e3d10443c0851e622d200c028e0cd8c9

[ "MIT" ]

null

html4vision/__init__.py

connellybarnes/HTML4Vision

cab1a444e3d10443c0851e622d200c028e0cd8c9

[ "MIT" ]

null

html4vision/__init__.py

connellybarnes/HTML4Vision

cab1a444e3d10443c0851e622d200c028e0cd8c9

[ "MIT" ]

null

__version__ = '0.4.2' from .table import Col, imagetable from .tile import imagetile

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py

Python

pipeline/src/tables/__init__.py

sawyerwatts/StopSpotDataPipeline

6537d0d1779d9ffa6a3096c02f4081d659c12a0e

[ "MIT" ]

3

2020-02-19T05:25:56.000Z

2020-02-22T21:31:34.000Z

pipeline/src/tables/__init__.py

sawyerwatts/StopSpotDataPipeline

6537d0d1779d9ffa6a3096c02f4081d659c12a0e

[ "MIT" ]

69

2020-02-20T20:30:03.000Z

2020-05-29T01:20:05.000Z

pipeline/src/tables/__init__.py

wolakdav/TeamBeeCapstoneProject

6957416273fda85a12e86408ae635d7491fb1035

[ "MIT" ]

4

2020-06-05T03:47:49.000Z

2020-12-21T01:17:02.000Z

from .table import Table from .ctran_data import CTran_Data from .flagged_data import Flagged_Data from .flags import Flags from .service_periods import Service_Periods

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8e974a836eab917192cdfbf122f9c7e0ef45dd1c

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py

Python

server/__init__.py

ashwinvis/analysis-scripts

73f8a10b4a00d550869fb41ade52e4cf8e113884

[ "MIT" ]

1

2020-04-10T10:45:25.000Z

server/__init__.py

ashwinvis/analysis-scripts

73f8a10b4a00d550869fb41ade52e4cf8e113884

[ "MIT" ]

4

2020-04-04T15:35:41.000Z

2020-04-05T17:31:28.000Z

server/__init__.py

ashwinvis/analysis-scripts

73f8a10b4a00d550869fb41ade52e4cf8e113884

[ "MIT" ]

3

2020-04-26T05:28:08.000Z

2020-05-02T15:01:11.000Z

from flask import Flask app = Flask(__name__) from server import routes

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8ea2c63440ce0c906acc005a9ab3bce57f476cf3

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py

Python

openaps/init.py

ijustlovemath/openaps

9eebfbfea4e8c731f1dd7d92e773a5549f3e4de3

[ "MIT" ]

525

2015-04-13T00:31:14.000Z

2022-03-20T21:15:34.000Z

openaps/init.py

ijustlovemath/openaps

9eebfbfea4e8c731f1dd7d92e773a5549f3e4de3

[ "MIT" ]

117

2015-04-27T02:35:52.000Z

2021-03-22T09:48:07.000Z

openaps/init.py

ijustlovemath/openaps

9eebfbfea4e8c731f1dd7d92e773a5549f3e4de3

[ "MIT" ]

220

2015-04-27T02:32:24.000Z

2022-03-04T08:39:08.000Z

import os def init (args): shell_cmd = ['git-openaps-init' ] + args.args os.execvp(shell_cmd[0], shell_cmd)

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8ed529f001108192eecb75a5a609fd8a516d07ae

29

py

Python

_/0349_09_Code/034.py

paullewallencom/javascript-978-1-8495-1034-9

7e539d042c644931a9ef2418f66d260a1c6892eb

[ "Apache-2.0" ]

null

_/0349_09_Code/034.py

paullewallencom/javascript-978-1-8495-1034-9

7e539d042c644931a9ef2418f66d260a1c6892eb

[ "Apache-2.0" ]

null

_/0349_09_Code/034.py

paullewallencom/javascript-978-1-8495-1034-9

7e539d042c644931a9ef2418f66d260a1c6892eb

[ "Apache-2.0" ]

null

return HttpResponse(u'')

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null

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4

8ee044fa77ce6989b445128c254318c882da45ad

254

py

Python

cogs/utils/formatting.py

OrangutanGaming/OG_SelfBot

295af329290df34f521c6acf3e7797d6f0a3ee0e

[ "MIT" ]

null

cogs/utils/formatting.py

OrangutanGaming/OG_SelfBot

295af329290df34f521c6acf3e7797d6f0a3ee0e

[ "MIT" ]

null

cogs/utils/formatting.py

OrangutanGaming/OG_SelfBot

295af329290df34f521c6acf3e7797d6f0a3ee0e

[ "MIT" ]

null

def quote(msg: str): return msg.replace("`", "") def cleanup_code(content): if content.startswith("```") and content.endswith("```"): output = content[3:-3].rstrip("\n").lstrip("\n") return output return content.strip("` \n")

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8ef4b5d9d18f14d42ba9afdb03a8f71b0a3bc6d6

250

py

Python

Django/movie_store_spa/movie_store_spa/urls.py

paolomococci/movie-store

c396fbb8a10b8efa5932cb491e909681ec1bdebf

[ "Apache-2.0" ]

null

Django/movie_store_spa/movie_store_spa/urls.py

paolomococci/movie-store

c396fbb8a10b8efa5932cb491e909681ec1bdebf

[ "Apache-2.0" ]

null

Django/movie_store_spa/movie_store_spa/urls.py

paolomococci/movie-store

c396fbb8a10b8efa5932cb491e909681ec1bdebf

[ "Apache-2.0" ]

null

from django.conf.urls import url from django.contrib import admin #from django.urls import include, path #from django.conf.urls import url, include urlpatterns = [ #path(r'^polls/', include('polls.urls')), url(r'^admin/', admin.site.urls) ]

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null

0

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d91d8d4165cb0280a35bfede8f2eacceacd91967

9,462

py

Python

src/data_filling.py

shibaji7/deep_network_for_SymH_prediction

5fe8ae5a5d77b019d3fa9daee2f23633e59111f6

[ "MIT" ]

null

src/data_filling.py

shibaji7/deep_network_for_SymH_prediction

5fe8ae5a5d77b019d3fa9daee2f23633e59111f6

[ "MIT" ]

null

src/data_filling.py

shibaji7/deep_network_for_SymH_prediction

5fe8ae5a5d77b019d3fa9daee2f23633e59111f6

[ "MIT" ]

null

#!/usr/bin/env python """data_filling.py: data filling is dedicated for interpolateing NaN values, by solar cycle, Kp and UT binning method.""" __author__ = "Chakraborty, S." __copyright__ = "Copyright 2019, Space@VT" __credits__ = [] __license__ = "MIT" __version__ = "1.0." __maintainer__ = "Chakraborty, S." __email__ = "shibaji7@vt.edu" __status__ = "Research" import os import numpy as np import pandas as pd import datetime as dt import glob import dask.dataframe as dd np.random.seed(0) from startup import * ############################################################################################################ ## This method is used to convert Kp to linear binned scale and downsample it to 1m. ############################################################################################################ def to_binned_downsampled_Kp(): Kp = pd.read_hdf(BASE_LOCATION + "geomag/Kp/hdf5/Kp.h5", mode="r", key="df", parse_dates=True) _sKp = Kp.Kp.tolist() _levels = ["0","0+","1-","1","1+","2-","2","2+","3-","3","3+","4-","4","4+", "5-","5","5+","6-","6","6+","7-","7","7+","8-","8","8+","9-","9"] _n = 0.33 _lin_values = [3,3,3,3,3,3,3,3,3,3,6,6,6,6, 6,6,6,6,6,9,9,9,9,9,9,9,9,9] _dict = dict(zip(_levels,_lin_values)) _Kp_lin = [] for _k in _sKp: _Kp_lin.append(_dict[_k]) _Kp_lin = np.array(_Kp_lin) Kp.Kp = _Kp_lin Kp = Kp.set_index("DATE") Kp = Kp.resample("1T").interpolate(method="nearest") Kp = Kp.reset_index() return Kp ############################################################################################################ ## This method is used to fetch and downsample F107 to 1m. ############################################################################################################ def to_binned_downsampled_F107(): F107 = pd.read_hdf(BASE_LOCATION + "geomag/F10.7/hdf5/f10.7.h5", mode="r", key="df", parse_dates=True) F107 = F107.set_index("DATE") F107 = F107.resample("1T").interpolate(method="nearest") F107 = F107.reset_index() f107 = np.array(F107.F107) f107[f107<100.] = 50. f107[(f107>=100.) & (f107<200.)] = 150. f107[f107>=200.] = 250 F107.F107 = f107 return F107 ############################################################################################################# ## This method is dedicated to interpolate the NaN entries individual solar wind driver. ## Note that, this method bins the SW parameter based on UT time and Kp and then tries to extrapolate. ## Solar Wind Parameters : "Bx", "By_GSE", "Bz_GSE", "By_GSM", "Bz_GSM", "V", "Vx_GSE", "Vy_GSE", ## "Vz_GSE", "n", "T", "P_DYN", "E", "BETA", "MACH_A" ############################################################################################################# def interpolate_sw_params(years=[], values="Bx"): def intp(x, _gr): v = x[values] if np.isnan(v): o = _gr[(_gr.index.get_level_values("UT") == x["UT"]) & (_gr.index.get_level_values("Kp") == x["Kp"])][values] v = np.random.normal(o["median"],o["std"])[0] pass return v def join(kp,o,values): _o = pd.DataFrame() _o["Kp"] = kp.Kp.tolist() _o["UT"] = o.UT.tolist() _o[values] = o[values].tolist() return _o nan_directory = {"Bx":9999.99, "By_GSE":9999.99, "Bz_GSE":9999.99, "By_GSM":9999.99, "Bz_GSM":9999.99, "V":99999.9, "Vx_GSE":99999.9, "Vy_GSE":99999.9, "Vz_GSE":99999.9, "n":999.99, "T":9999999., "P_DYN":99.99, "E":999.99, "BETA":999.99, "MACH_A":999.9} if len(years) == 0: years = range(1995,2019) hdf5_base = BASE_LOCATION + "omni/hdf5/%d*.h5" hdf5_yearly_intp_base = BASE_LOCATION + "omni/hdf5/intp/0.%s.%d.h5" Kp = to_binned_downsampled_Kp() for year in years: fname = hdf5_yearly_intp_base%(values,year) if not os.path.exists(fname): print "Processing SW parameter '%s' for year : %d"%(values, year) kp = Kp[(Kp.DATE >= dt.datetime(year,1,1)) & (Kp.DATE < dt.datetime(year+1,1,1))].reset_index() flist = glob.glob(hdf5_base%year) O = pd.DataFrame() for f_name in flist: _o = pd.read_hdf(f_name, mode="r", key="df", parse_dates=True) O = pd.concat([O, _o]) pass O = O.sort_values("DATE") O = O[["DATE",values]] O["UT"] = O.DATE.apply(lambda x: x.hour) ## Convert bad values to NaNs O = O.replace(nan_directory[values],np.nan) jO = join(kp,O,values) _O = jO.dropna() print "After dropping NaN vlues, -to- %d,%d"%(len(O),len(_O)) ## Bin dataset based on UT and Kp _gr = _O.groupby(["UT","Kp"]).agg({values:["median","std"]}) ## Interpolate NaN values jO = dd.from_pandas(jO, npartitions=100) r_values = jO.apply(intp, axis=1, args=(_gr,)).compute(scheduler="processes") cnv = O[values].isna().sum() print "Converted NaNs - ",cnv O[values] = np.array(r_values).tolist() print "Save -to- %s"%fname O.to_hdf(fname, mode="w", key="df") pass else: print "File created - ",fname pass return ############################################################################################################# ## This method is dedicated to interpolate the NaN entries individual solar wind driver. ## Note that, this method bins the SW parameter based on F10.7 time and Kp and then tries to extrapolate. ## Solar Wind Parameters : "Bx", "By_GSE", "Bz_GSE", "By_GSM", "Bz_GSM", "V", "Vx_GSE", "Vy_GSE", ## "Vz_GSE", "n", "T", "P_DYN", "E", "BETA", "MACH_A" ############################################################################################################# def interpolate_sw_params_based_F107_Kp(years=[], values="Bx"): def intp(x, _gr): v = x[values] if np.isnan(v): o = _gr[(_gr.index.get_level_values("F107") == x["F107"]) & (_gr.index.get_level_values("Kp") == x["Kp"])][values] v = np.random.normal(o["median"],o["std"])[0] pass return v def join(kp,f107,o,values): print len(kp), len(f107), len(o) _o = pd.DataFrame() _o["DATE"] = o.DATE.tolist() _o["Kp"] = kp.Kp.tolist() _o["F107"] = f107.F107.tolist() _o[values] = o[values].tolist() return _o nan_directory = {"Bx":9999.99, "By_GSE":9999.99, "Bz_GSE":9999.99, "By_GSM":9999.99, "Bz_GSM":9999.99, "V":99999.9, "Vx_GSE":99999.9, "Vy_GSE":99999.9, "Vz_GSE":99999.9, "n":999.99, "T":9999999., "P_DYN":99.99, "E":999.99, "BETA":999.99, "MACH_A":999.9} if len(years) == 0: years = range(1995,2019) hdf5_base = BASE_LOCATION + "omni/hdf5/%d*.h5" hdf5_yearly_intp_base = BASE_LOCATION + "omni/hdf5/intp/1.%s.%d.h5" Kp = to_binned_downsampled_Kp() F107 = to_binned_downsampled_F107() for year in years: fname = hdf5_yearly_intp_base%(values,year) if not os.path.exists(fname): print "Processing SW parameter '%s' for year : %d"%(values, year) kp = Kp[(Kp.DATE >= dt.datetime(year,1,1)) & (Kp.DATE < dt.datetime(year+1,1,1))].reset_index() f107 = F107[(F107.DATE >= dt.datetime(year,1,1)) & (F107.DATE < dt.datetime(year+1,1,1))].reset_index() flist = glob.glob(hdf5_base%year) O = pd.DataFrame() for f_name in flist: _o = pd.read_hdf(f_name, mode="r", key="df", parse_dates=True) O = pd.concat([O, _o]) pass O = O.sort_values("DATE") O = O[["DATE",values]] ## Convert bad values to NaNs O = O.replace(nan_directory[values],np.nan) jO = join(kp,f107,O,values) _O = jO.dropna() print "After dropping NaN vlues, -to- %d,%d"%(len(O),len(_O)) ## Bin dataset based on UT and Kp _gr = _O.groupby(["Kp","F107"]).agg({values:["median","std"]}) ## Interpolate NaN values jO = dd.from_pandas(jO, npartitions=100) r_values = jO.apply(intp, axis=1, args=(_gr,)).compute(scheduler="processes") cnv = O[values].isna().sum() print "Converted NaNs - ",cnv O[values] = np.array(r_values).tolist() print "Save -to- %s"%fname O.to_hdf(fname, mode="w", key="df") pass else: print "File created - ",fname pass return if __name__ == "__main__": ## Each type of case is associated with type of binning method used. ## Case 0 : Bin using Kp and UT, Case 1 : Bin using F10.7 and Kp case = -1 params = ["Bx", "By_GSE", "Bz_GSE", "By_GSM", "Bz_GSM", "V", "Vx_GSE", "Vy_GSE", "Vz_GSE", "n", "T", "P_DYN", "E", "BETA", "MACH_A"] if case == -1: print "Write a filter case for -1." pass else: ## Run interpolation for param in params: if case == 0: interpolate_sw_params(years=[], values=param) elif case == 1: interpolate_sw_params_based_F107_Kp(years=[], values=param) pass pass pass

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d928fc8ba6704ee57b33d3c2b56828e59b469d62

495

py

Python

models/__init__.py

vinthony/depth-distillation

fd53bceda4f317a5ed3832a2932a1eeb7eeb456b

[ "MIT" ]

44

2020-07-17T03:29:47.000Z

2022-03-14T14:38:12.000Z

models/__init__.py

vinthony/depth-distillation

fd53bceda4f317a5ed3832a2932a1eeb7eeb456b

[ "MIT" ]

3

2020-07-23T16:06:45.000Z

2022-03-18T12:42:16.000Z

models/__init__.py

vinthony/depth-distillation

fd53bceda4f317a5ed3832a2932a1eeb7eeb456b

[ "MIT" ]

9

2020-11-25T12:39:53.000Z

2021-11-27T08:32:42.000Z

from models.resnext.resnext101_regular import ResNeXt101 from models.vgg import VGGNet from models.fcn import ResNextDecoderAtt def resskspp(): return ResNextDecoderAtt(pretrained_net=ResNeXt101(), type='res') def vggskspp(): return ResNextDecoderAtt(pretrained_net=VGGNet(),type='vgg') if __name__ == '__main__': model_names = sorted(name for name in models.__dict__ if name.islower() and not name.startswith("__") and callable(models.__dict__[name])) print(model_names)

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0

0.020833

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14

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null

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null

0

1

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4

d9304e5bd411af11b1e5c891d5566e432f5cadd0

4,024

py

Python

grad_cam/example.py

Zoe0123/Transfer-Learning-BiT-ViT

a074875584c7e272d18d7ff17c1617455c3e4a4a

[ "Apache-2.0" ]

1

2021-04-21T16:04:18.000Z

grad_cam/example.py

Zoe0123/Vision-Transformer-Chest-X-Ray-Classification

cf6db4cff6a3b989fb0f7fa234c193c5b725908b

[ "Apache-2.0" ]

null

grad_cam/example.py

Zoe0123/Vision-Transformer-Chest-X-Ray-Classification

cf6db4cff6a3b989fb0f7fa234c193c5b725908b

[ "Apache-2.0" ]

null

import torchvision import matplotlib.pyplot as plt from PIL import Image from torchvision import transforms from grad_cam import grad_cam import torch from coronahack import ResNetV2, StdConv2d, PreActBottleneck def main(): corona_bit_example() corona_vit_example() # boxer_example() # tiger_cat_example() # elephant_example() def boxer_example(): model = torchvision.models.resnet34(pretrained=True) model.eval() print(model.features) transform = transforms.Compose([ transforms.Resize(240), transforms.CenterCrop(224), transforms.ToTensor(), transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]) ]) heatmap_layer = model.layer4[2].conv2 image = Image.open("./images/cat_dog.png") input_tensor = transform(image) boxer_label = 242 image = grad_cam(model, input_tensor, heatmap_layer, boxer_label) plt.imshow(image) plt.savefig('./images/boxer_grad-cam') def tiger_cat_example(): model = torchvision.models.resnet34(pretrained=True) model.eval() transform = transforms.Compose([ transforms.Resize(240), transforms.CenterCrop(224), transforms.ToTensor(), transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]) ]) heatmap_layer = model.layer4[2].conv2 image = Image.open("./images/cat_dog.png") input_tensor = transform(image) tiger_cat_label = 282 image = grad_cam(model, input_tensor, heatmap_layer, tiger_cat_label) plt.imshow(image) plt.savefig('./images/tiger_cat_grad-cam') def elephant_example(): model = torchvision.models.resnet34(pretrained=True) model.eval() transform = transforms.Compose([ transforms.Resize(240), transforms.CenterCrop(224), transforms.ToTensor(), transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]) ]) heatmap_layer = model.layer4[2].conv2 image = Image.open("./images/elephant.jpg") input_tensor = transform(image) elephant_label = 386 image = grad_cam(model, input_tensor, heatmap_layer, elephant_label) plt.imshow(image) plt.savefig('./images/elephant_grad-cam') def corona_bit_example(): model = torch.load("../bitm_20.pth") model.eval() transform = transforms.Compose([ transforms.Resize(240), transforms.CenterCrop(224), transforms.ToTensor(), ]) heatmap_layer = model.body.block4.unit03.conv3 img_path_n = "./images/example_n.JPG" image_n = Image.open(img_path_n) input_tensor_n = transform(image_n) target_class_n = 0 image_n_hm = grad_cam(model, input_tensor_n, heatmap_layer, target_class_n) plt.imshow(image_n_hm) plt.savefig('./images/bit_n_hm.png') img_path_v = "./images/example_v.JPG" image_v = Image.open(img_path_v) input_tensor_v = transform(image_v) target_class_v = 1 image_v_hm = grad_cam(model, input_tensor_v, heatmap_layer, target_class_v) plt.imshow(image_v_hm) plt.savefig('./images/bit_v_hm.png') def corona_vit_example(): model = torch.load("../vit_10.pth", map_location=torch.device('cpu')) model.eval() transform = transforms.Compose([ transforms.Resize(240), transforms.CenterCrop(224), transforms.ToTensor(), ]) heatmap_layer = model.patch_embed.backbone.stages[2].blocks[8].conv3 img_path_n = "./images/example_n.JPG" image_n = Image.open(img_path_n) input_tensor_n = transform(image_n) target_class_n = 0 image_n_hm = grad_cam(model, input_tensor_n, heatmap_layer, target_class_n) plt.imshow(image_n_hm) plt.savefig('./images/vit_n_hm.png') img_path_v = "./images/example_v.JPG" image_v = Image.open(img_path_v) input_tensor_v = transform(image_v) target_class_v = 1 image_v_hm = grad_cam(model, input_tensor_v, heatmap_layer, target_class_v) plt.imshow(image_v_hm) plt.savefig('./images/vit_v_hm.png') if __name__== "__main__": main() print("done")

32.715447

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4,024

4.76

0.176364

0.058824

0.032086

0.045455

0.753629

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0.708938

0.663102

0.640183

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4,024

123

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0

null

0

1

0

1

0

null

0

4

d93571f5d58750d29b62866cb36f02ba6174ac7b

863

py

Python

tools/leetcode.082.Remove Duplicates from Sorted List II/leetcode.082.Remove Duplicates from Sorted List II.submission5.py

tedye/leetcode

975d7e3b8cb9b6be9e80e07febf4bcf6414acd46

[ "MIT" ]

4

2015-10-10T00:30:55.000Z

2020-07-27T19:45:54.000Z

tools/leetcode.082.Remove Duplicates from Sorted List II/leetcode.082.Remove Duplicates from Sorted List II.submission5.py

tedye/leetcode

975d7e3b8cb9b6be9e80e07febf4bcf6414acd46

[ "MIT" ]

null

tools/leetcode.082.Remove Duplicates from Sorted List II/leetcode.082.Remove Duplicates from Sorted List II.submission5.py

tedye/leetcode

975d7e3b8cb9b6be9e80e07febf4bcf6414acd46

[ "MIT" ]

null

# Definition for singly-linked list. # class ListNode: # def __init__(self, x): # self.val = x # self.next = None class Solution: # @param {ListNode} head # @return {ListNode} def deleteDuplicates(self, head): if not head or not head.next: return head dummy = ListNode(0x7fffffff) dummy.next= head p = dummy n = p.next nn = p.next.next while nn: cur = n.val flag = False while nn and nn.val == cur: flag = True nn = nn.next if flag: p.next = nn if not nn: break n = nn nn = n.next else: p = n n = nn nn = nn.next return dummy.next

863

0.421784

95

863

3.789474

0.368421

0.044444

0.038889

0

0.004651

0.501738

863

1

863

0.832558

0.975666

0

0.16

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false

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0.12

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null

0

1

0

1

0

1

0

1

0

null

0

4

d940a00dd8a757f225f2d672417c736f3dff1248

434

py

Python

backend/films/serializers/films.py

aaronjonesii/v1.4_WebApp

df4aea085b614946c047c16a337adb363f85e0ec

[ "MIT" ]

null

backend/films/serializers/films.py

aaronjonesii/v1.4_WebApp

df4aea085b614946c047c16a337adb363f85e0ec

[ "MIT" ]

null

backend/films/serializers/films.py

aaronjonesii/v1.4_WebApp

df4aea085b614946c047c16a337adb363f85e0ec

[ "MIT" ]

null

from rest_framework import serializers from ..models import Anime, Movie, Show class AnimeSerializer(serializers.ModelSerializer): class Meta: model = Anime fields = '__all__' class MovieSerializer(serializers.ModelSerializer): class Meta: model = Movie fields = '__all__' class ShowSerializer(serializers.ModelSerializer): class Meta: model = Show fields = '__all__'

20.666667

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0.684332

41

434

6.926829

0.439024

0.274648

0.327465

0.369718

0.422535

0

0.24424

434

20

52

21.7

0.865854

0

0.428571

0

0.048387

0

1

0

false

0

0.142857

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0.571429

0

null

1

0

null

0

1

0

4

d9460f004054ed4be4b47d513df55c2bb18a9b58

50

py

Python

app/utils/__init__.py

i-gulyaev/receipt-bot

262bc64c305443e23183eb65c337097f03db6c90

[ "MIT" ]

null

app/utils/__init__.py

i-gulyaev/receipt-bot

262bc64c305443e23183eb65c337097f03db6c90

[ "MIT" ]

null

app/utils/__init__.py

i-gulyaev/receipt-bot

262bc64c305443e23183eb65c337097f03db6c90

[ "MIT" ]

null

from .receipt_parser import parse_receipt # noqa

25

49

0.82

7

50

5.571429

0.857143

0

0.14

50

1

50

0.906977

0.08

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

d956a1e74c3d1ca47ca4e0fe9f520191d40b645e

107

py

Python

main.py

GabrielaMoreira/correios.postmon.com.br

3522ce6d3f8d0e59f6c1c65184e8a1dab68c550a

[ "MIT" ]

43

2017-05-06T18:46:08.000Z

2021-07-16T00:54:55.000Z

main.py

GabrielaMoreira/correios.postmon.com.br

3522ce6d3f8d0e59f6c1c65184e8a1dab68c550a

[ "MIT" ]

10

2017-05-05T17:16:08.000Z

2020-08-16T02:16:33.000Z

main.py

GabrielaMoreira/correios.postmon.com.br

3522ce6d3f8d0e59f6c1c65184e8a1dab68c550a

[ "MIT" ]

10

2018-02-06T18:04:28.000Z

2021-04-07T00:31:35.000Z

# coding: utf-8 from __future__ import absolute_import import application app = application.create_app()

15.285714

38

0.803738

14

107

5.714286

0.714286

0

0.010753

0.130841

107

6

39

17.833333

0.849462

0.121495

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

d95dd4d78f796acddb1ecb0ae55a7653643141e3

446

py

Python

python/controls/datepicker/datepicker_allow_text_input.py

pglet/pglet-samples

ab47e797a4daccfa4779daa3d1fd1cc27d92e7f9

[ "MIT" ]

null

python/controls/datepicker/datepicker_allow_text_input.py

pglet/pglet-samples

ab47e797a4daccfa4779daa3d1fd1cc27d92e7f9

[ "MIT" ]

null

python/controls/datepicker/datepicker_allow_text_input.py

pglet/pglet-samples

ab47e797a4daccfa4779daa3d1fd1cc27d92e7f9

[ "MIT" ]

null

from datetime import datetime import pglet from pglet import DatePicker with pglet.page("datepicker-allow-text-input") as page: now = datetime.now() page.add( DatePicker(width=150, label="Allow text input", allow_text_input=True), DatePicker(label="Allow text input with placeholder", placeholder='Select date...', allow_text_input=True, width='25%'), DatePicker(value=now, label="Required", required=True, allow_text_input=True))

49.555556

124

0.757848

62

446

5.354839

0.370968

0.162651

0.253012

0.162651

0

0.012658

0.11435

446

9

125

49.555556

0.827848

0

0.225951

0.060403

0

1

0

false

0

0.333333

0

0.333333

0

null

0

1

0

1

0

null

0

1

0

4

d96f4bb9102f803da75530ed8987b2c1aa8917ba

791

py

Python

torchgeometry/__init__.py

tina300399/torchgeometry

48d8026f0a5f3d4ac5567b7b2738390892b3cc8d

[ "Apache-2.0" ]

null

torchgeometry/__init__.py

tina300399/torchgeometry

48d8026f0a5f3d4ac5567b7b2738390892b3cc8d

[ "Apache-2.0" ]

null

torchgeometry/__init__.py

tina300399/torchgeometry

48d8026f0a5f3d4ac5567b7b2738390892b3cc8d

[ "Apache-2.0" ]

1

2019-10-04T05:05:28.000Z

# Make sure that torchgeometry is running on Python 3.6.0 or later # (to avoid running into this bug: https://bugs.python.org/issue29246) import sys if sys.version_info < (3, 6, 0): raise RuntimeError("Pytorch Geometry requires Python 3.6.0 or later") from .version import __version__ from torchgeometry import core from torchgeometry import image from torchgeometry import losses from torchgeometry import contrib from torchgeometry import utils from torchgeometry import metrics # Exposes ``torchgeometry.core`` package to top level from .core.homography_warper import HomographyWarper, homography_warp from .core.depth_warper import DepthWarper, depth_warp from .core.pinhole import * from .core.conversions import * from .core.imgwarp import * from .core.transformations import *

34.391304

73

0.804046

111

791

5.648649

0.477477

0.162679

0.220096

0.028708

0.051037

0

0.020378

0.131479

791

22

74

35.954545

0.892285

0.233881

0

0.078073

0

1

0

true

0

0.875

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0.875

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null

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1

0

null

0

1

0

1

0

1

0

4

d996ec0270af20c228d2b9f1c17de80a0ace3288

169

py

Python

lib/__init__.py

telematrix/metallic-ngons

c7b64d1890a73bd070220df18f83bb917323e251

[ "MIT" ]

1

2022-03-31T05:59:59.000Z

lib/__init__.py

telematrix/metallic-ngons

c7b64d1890a73bd070220df18f83bb917323e251

[ "MIT" ]

null

lib/__init__.py

telematrix/metallic-ngons

c7b64d1890a73bd070220df18f83bb917323e251

[ "MIT" ]

null

from mpmath import mp from .argparser import args DPS = args.dps DPS_BUFFER = args.buffer + int(mp.log10(DPS)) # set mpmath decimal precision mp.dps = DPS + DPS_BUFFER

21.125

45

0.751479

28

169

4.464286

0.464286

0.144

0.192

0

0.014085

0.159763

169

7

46

24.142857

0.866197

0.16568

0

1

0

false

0

0.4

0

0.4

0

1

0

null

0

1

0

1

0

null

0

1

0

4

d997c0ae0816643642fb3891623a6726e634bf15

245

py

Python

exp7/rpctime_s.py

sekharkaredla/cnlab

8e1ef9a904dea5260f6b6cf968508a2847f9f15c

[ "MIT" ]

null

exp7/rpctime_s.py

sekharkaredla/cnlab

8e1ef9a904dea5260f6b6cf968508a2847f9f15c

[ "MIT" ]

null

exp7/rpctime_s.py

sekharkaredla/cnlab

8e1ef9a904dea5260f6b6cf968508a2847f9f15c

[ "MIT" ]

2

2018-04-16T13:25:12.000Z

2018-04-16T14:49:38.000Z

import xmlrpclib import time from SimpleXMLRPCServer import SimpleXMLRPCServer def get_date(): return time.strftime("%H %M %S") server=SimpleXMLRPCServer(('localhost',8888)) server.register_function(get_date,"get_date") server.serve_forever()

27.222222

49

0.808163

31

245

6.225806

0.645161

0.108808

0

0.017699

0.077551

245

9

50

27.222222

0.836283

0

0.101626

0

1

0.125

false

0

0.375

0.125

0.625

0

null

0

1

0

null

0

1

0

4

79461baec98140d266b1fe3450d3334ba0d903e2

661

py

Python

evaluador_consola.py

RicardoGomezT/Normalizacion_JSON_con_PySpark

129e9fa1b4f32af1da3aff47741623cafa669ed4

[ "MIT" ]

null

evaluador_consola.py

RicardoGomezT/Normalizacion_JSON_con_PySpark

129e9fa1b4f32af1da3aff47741623cafa669ed4

[ "MIT" ]

null

evaluador_consola.py

RicardoGomezT/Normalizacion_JSON_con_PySpark

129e9fa1b4f32af1da3aff47741623cafa669ed4

[ "MIT" ]

null

{"consumidor":{"app_consumer":{"id":"BUN-09348","session_id":"07e3ged1520","transaction_id":"12345"},"device_consumer":{"id":"device-111","user_agent":"Mozilla/5.0(iPhone)","locale":"CO","ip":"200.122.xxx.254","terminal_id":"372343"}},"operacion":{"type":"CONSULTA","operation_date":"2019-08-13T20:00:54.832Z","source_reference":{"type":"PRODUCT","product":{"type":"0160","details_product":{"details":[{"detail_item":{"name":"SOLICITUD","value":"123"}}]}}},"status_response":{"status":"OK"}},"messages_respuesta":{"service":[{"service_details":{"id_service":"","request_service":"</soapenv:Envelope>","response_service":"<SResponse></S:Body></S:Envelope>"}}]}}

661

0.686838

82

661

5.341463

0.743902

0.045662

0

0.092424

0.001513

661

1

661

0.571212

0

0.728097

0.086103

0

1

0

true

0

null

0

1

0

1

0

1

0

null

0

1

0

4

7970e57515f3cf6411ae3c42da7455c12cb4d903

120

py

Python

serial-adapter/bootstrap/__main__.py

vychodnar/serial-zwave

8c6903ba836777bb9cc6811dde88820d997fafc7

[ "MIT" ]

null

serial-adapter/bootstrap/__main__.py

vychodnar/serial-zwave

8c6903ba836777bb9cc6811dde88820d997fafc7

[ "MIT" ]

null

serial-adapter/bootstrap/__main__.py

vychodnar/serial-zwave

8c6903ba836777bb9cc6811dde88820d997fafc7

[ "MIT" ]

null

"""bootstrap.__main__: executed when bootstrap directory is called as script.""" from .bootstrap import main main()

15

80

0.75

15

120

5.733333

0.733333

0

0.15

120

7

81

17.142857

0.843137

0.616667

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

799f23507cc4e15bd9e32cece257f552d479c407

201

py

Python

test/settings.py

DiegoTolenClappform/Clappform-Python-Connector

64d5f903cfa39f19c5c97ef1b54f457f661af588

[ "MIT" ]

null

test/settings.py

DiegoTolenClappform/Clappform-Python-Connector

64d5f903cfa39f19c5c97ef1b54f457f661af588

[ "MIT" ]

null

test/settings.py

DiegoTolenClappform/Clappform-Python-Connector

64d5f903cfa39f19c5c97ef1b54f457f661af588

[ "MIT" ]

null

class settings: def init(): global baseURL global password global username global usertestingpassword global usertestingemail global twilliotemplate

22.333333

34

0.641791

16

201

8.0625

0.6875

0

0.338308

201

9

35

22.333333

0.969925

0

1

0.125

true

0.25

0

0.25

0

1

0

null

0

1

0

null

0

1

0

4

79def08545f1277b7101364ffad835ad8ec65ee2

1,918

py

Python

src/core/models/addresscomponents.py

deshk04/addressparser

03c33859bb585a6cf767e0f4d3dfd23cabd2d78b

[ "MIT" ]

null

src/core/models/addresscomponents.py

deshk04/addressparser

03c33859bb585a6cf767e0f4d3dfd23cabd2d78b

[ "MIT" ]

null

src/core/models/addresscomponents.py

deshk04/addressparser

03c33859bb585a6cf767e0f4d3dfd23cabd2d78b

[ "MIT" ]

null

""" Author: Create date: Description: modules for django orm Version Date Description(of Changes) 1.0 Created """ from django.db import models class AddressComponents(): pobox_type = models.TextField(blank=True, null=True) pobox_number = models.TextField(blank=True, null=True) building_name = models.TextField(blank=True, null=True) business_name = models.TextField(blank=True, null=True) flat_number = models.TextField(blank=True, null=True) flat_type = models.TextField(blank=True, null=True) flat_number_suffix = models.TextField(blank=True, null=True) level_number = models.TextField(blank=True, null=True) level_type = models.TextField(blank=True, null=True) level_number_suffix = models.TextField(blank=True, null=True) number_first = models.TextField(blank=True, null=True) number_suffix = models.TextField(blank=True, null=True) number_last = models.TextField(blank=True, null=True) street_name = models.TextField(blank=True, null=True) street_type = models.TextField(blank=True, null=True) suburb = models.TextField(blank=True, null=True) postcode = models.CharField(max_length=4, blank=True, null=True) state = models.CharField(max_length=4, blank=True, null=True) latitude = models.DecimalField(max_digits=11, decimal_places=8, blank=True, null=True) longitude = models.DecimalField(max_digits=11, decimal_places=8, blank=True, null=True) parcel_id = models.TextField(blank=True, null=True) premises_type = models.TextField(blank=True, null=True) postal_id = models.TextField(blank=True, null=True) confidence = models.DecimalField( max_digits=2, decimal_places=0, blank=True, null=True) def __str__(self): """ print all the variables """ return str(self.__class__) + ": " + str(self.__dict__)

40.808511

91

0.70073

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1,918

5.236948

0.26506

0.165644

0.239264

0.312883

0.730828

0.706288

0.363497

0.233129

0.092025

0

0.007673

0.184567

1,918

46

92

41.695652

0.826087

0.094891

0

0.001183

0

1

0.034483

false

0

0.034483

0

0.965517

0

null

0

1

0

1

0

null

0

4

8db2f4dca4c9cc1ba3784cdcd87dab2273eea68c

1,554

py

Python

DailyProgrammer/DP20131203A.py

DayGitH/Python-Challenges

bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf

[ "MIT" ]

2

2020-12-23T18:59:22.000Z

2021-04-14T13:16:09.000Z

DailyProgrammer/DP20131203A.py

DayGitH/Python-Challenges

bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf

[ "MIT" ]

null

DailyProgrammer/DP20131203A.py

DayGitH/Python-Challenges

bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf

[ "MIT" ]

null

""" [12/03/13] Challenge #143 [Easy] Braille https://www.reddit.com/r/dailyprogrammer/comments/1s061q/120313_challenge_143_easy_braille/ # [](#EasyIcon) *(Easy)*: Braille [Braille](http://en.wikipedia.org/wiki/Braille) is a writing system based on a series of raised / lowered bumps on a material, for the purpose of being read through touch rather than sight. It's an incredibly powerful reading & writing system for those who are blind / visually impaired. Though the letter system has up to 64 unique glyph, 26 are used in [English Braille](http://en.wikipedia.org/wiki/English_Braille) for letters. The rest are used for numbers, words, accents, ligatures, etc. Your goal is to read in a string of Braille characters ([using standard English Braille defined here](http://en.wikipedia.org/wiki/English_Braille#Alphabet)) and print off the word in standard English letters. You only have to support the 26 English letters. # Formal Inputs & Outputs ## Input Description Input will consistent of an array of 2x6 space-delimited Braille characters. This array is always on the same line, so regardless of how long the text is, it will always be on 3-rows of text. A lowered bump is a dot character '.', while a raised bump is an upper-case 'O' character. ## Output Description Print the transcribed Braille. # Sample Inputs & Outputs ## Sample Input O. O. O. O. O. .O O. O. O. OO OO .O O. O. .O OO .O OO O. .O .. .. O. O. O. .O O. O. O. .. ## Sample Output helloworld """ def main(): pass if __name__ == "__main__": main()

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8dde0e645df54edaaeadd0701fcdff7660b8f5ec

221

py

Python

shares_count/admin.py

vlinhart/django_shares_count

ad95a95422eb3a289409b5e801094344cbf623b7

[ "MIT" ]

2

2016-03-13T14:53:01.000Z

2016-07-19T04:14:11.000Z

shares_count/admin.py

vlinhart/django_shares_count

ad95a95422eb3a289409b5e801094344cbf623b7

[ "MIT" ]

null

shares_count/admin.py

vlinhart/django_shares_count

ad95a95422eb3a289409b5e801094344cbf623b7

[ "MIT" ]

null

from django.contrib import admin from shares_count.models import Share class ShareAdmin(admin.ModelAdmin): list_display = ('created', 'modified', 'shares', 'content_object') admin.site.register(Share, ShareAdmin)

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8de83f3d86e8d444330ac8088b4dfef21fe6b32e

228

py

Python

tests/test_downloaded.py

ConnectionMaster/robotpy-build

9571a84fdd6268be5e945b31ea8929d84355071a

[ "BSD-3-Clause" ]

null

tests/test_downloaded.py

ConnectionMaster/robotpy-build

9571a84fdd6268be5e945b31ea8929d84355071a

[ "BSD-3-Clause" ]

null

tests/test_downloaded.py

ConnectionMaster/robotpy-build

9571a84fdd6268be5e945b31ea8929d84355071a

[ "BSD-3-Clause" ]

null

# just ensures the module built correctly, nothing fancy import rpytest.dl def test_downloaded_fn(): assert rpytest.dl.downloaded_fn(3) == 0x42 + 3 def test_extra_content(): assert rpytest.dl.extra_content() == True

20.727273

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228

4.939394

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0.184049

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0.026178

0.162281

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10

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0

1

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1

0

4

5c26f0f896be21a0739a64c8735387c4508e7b4a

91

py

Python

example/identity/apps.py

EngFarisAlsmawi/django-admin-search-builder

6cb03f4f4b27aeabda9493d170841783881aaa88

[ "Apache-2.0" ]

24

2020-05-28T14:46:59.000Z

2022-03-25T09:21:45.000Z

example/identity/apps.py

EngFarisAlsmawi/django-admin-search-builder

6cb03f4f4b27aeabda9493d170841783881aaa88

[ "Apache-2.0" ]

2

2020-09-14T11:44:21.000Z

2021-10-21T07:23:29.000Z

example/identity/apps.py

EngFarisAlsmawi/django-admin-search-builder

6cb03f4f4b27aeabda9493d170841783881aaa88

[ "Apache-2.0" ]

3

2020-06-02T09:13:01.000Z

2022-03-25T09:21:51.000Z

from django.apps import AppConfig class IdentityConfig(AppConfig): name = 'identity'

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91

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1

0

1

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4

30b32ebb14596491d699613dd4f860d45147f4e9

24

py

Python

readthedocs/docsitalia/views/__init__.py

danse/docs.italia.it

38a9e4c7ef5bf360c464d1b034548609ddf9e046

[ "MIT" ]

null

readthedocs/docsitalia/views/__init__.py

danse/docs.italia.it

38a9e4c7ef5bf360c464d1b034548609ddf9e046

[ "MIT" ]

null

readthedocs/docsitalia/views/__init__.py

danse/docs.italia.it

38a9e4c7ef5bf360c464d1b034548609ddf9e046

[ "MIT" ]

null

"""Docs Italia Views"""

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23

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1

24

0.714286

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null

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true

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1

0

null

0

1

0

null

0

1

0

4

30e5a17a4643ca27ca604c71e32c816268548f31

89

py

Python

apps/recache/apps.py

techlib/czechelib-stats

ca132e326af0924740a525710474870b1fb5fd37

[ "MIT" ]

1

2019-12-12T15:38:42.000Z

apps/recache/apps.py

techlib/czechelib-stats

ca132e326af0924740a525710474870b1fb5fd37

[ "MIT" ]

null

apps/recache/apps.py

techlib/czechelib-stats

ca132e326af0924740a525710474870b1fb5fd37

[ "MIT" ]

null

from django.apps import AppConfig class RecacheConfig(AppConfig): name = 'recache'

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89

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0.9

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89

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null

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1

0

null

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1

0

1

0

4

eb543ee1c2aeb74ecb4856ee68f9b2ac29ea2249

26

py

Python

src/mqtt2gpio/__init__.py

paulomach/mqtt2gpio

95f57ecfb6561eaa9a5a9d50157814f182a09320

[ "MIT" ]

null

src/mqtt2gpio/__init__.py

paulomach/mqtt2gpio

95f57ecfb6561eaa9a5a9d50157814f182a09320

[ "MIT" ]

null

src/mqtt2gpio/__init__.py

paulomach/mqtt2gpio

95f57ecfb6561eaa9a5a9d50157814f182a09320

[ "MIT" ]

null

"""MQTT to GPIO relay."""

13

25

0.576923

4

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1

0

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26

1

26

0.681818

0.730769

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null

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true

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null

1

0

null

0

1

0

null

0

1

0

4

eb880bf08e15c8c303d64a079950395580118878

167

py

Python

office365/graph/onedrive/folder.py

stardust85/Office365-REST-Python-Client

cd369c607c7d137a000734e9c5e8f03ae3e3c603

[ "MIT" ]

null

office365/graph/onedrive/folder.py

stardust85/Office365-REST-Python-Client

cd369c607c7d137a000734e9c5e8f03ae3e3c603

[ "MIT" ]

null

office365/graph/onedrive/folder.py

stardust85/Office365-REST-Python-Client

cd369c607c7d137a000734e9c5e8f03ae3e3c603

[ "MIT" ]

null

from office365.runtime.client_value_object import ClientValueObject class Folder(ClientValueObject): def __init__(self): super(Folder, self).__init__()

20.875

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167

6.555556

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0.021127

0.149701

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7

68

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1

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false

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null

0

1

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null

0

1

0

1

0

4

ebd4759455b0a6207c3c378f93a86af19852c668

158

py

Python

Playground/exercises.py

jonasluz/mia-cg

12fb27336663fe71bad39996045196b098e26cbe

[ "Unlicense" ]

null

Playground/exercises.py

jonasluz/mia-cg

12fb27336663fe71bad39996045196b098e26cbe

[ "Unlicense" ]

null

Playground/exercises.py

jonasluz/mia-cg

12fb27336663fe71bad39996045196b098e26cbe

[ "Unlicense" ]

null

# -*- coding: utf-8 -*- import common as c def q2(): """ Questão 2 """ print ("Cossenos diretores:") print (c.dcos([3, 6], True))

13.166667

33

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158

3.8

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0.316456

158

11

34

14.363636

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0.172727

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1

0.25

true

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1

0

null

0

null

0

1

0

1

0

4

ebd78791976790fae7adf467746339db1636e245

37

py

Python

aruw_tf_broadcaster/src/common_utils.py

uw-advanced-robotics/aruw-vision-platform-2019

248be0fb3f81cb0f3b2423e4a22f8bd813dc1832

[ "MIT" ]

43

2019-08-25T06:31:27.000Z

2022-03-03T03:15:08.000Z

aruw_vision/src/common_utils.py

GuanqiHe/aruw-vision-platform-2019

248be0fb3f81cb0f3b2423e4a22f8bd813dc1832

[ "MIT" ]

1

2022-01-22T15:37:05.000Z

2022-01-22T22:06:27.000Z

aruw_vision/src/common_utils.py

GuanqiHe/aruw-vision-platform-2019

248be0fb3f81cb0f3b2423e4a22f8bd813dc1832

[ "MIT" ]

12

2019-09-05T08:00:09.000Z

2021-07-28T13:24:51.000Z

../../aruw_common/src/common_utils.py

37

0.756757

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4.333333

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null

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null

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1

0

null

0

1

0

4

ebdfe6cb091cde4f9e75bb9d477bc6a9fcbd1103

76

py

Python

janusbackup/database/models/base.py

NikitosnikN/janus-backup

413d365663b532a0611575be16ea0a4f0c7ffd20

[ "MIT" ]

null

janusbackup/database/models/base.py

NikitosnikN/janus-backup

413d365663b532a0611575be16ea0a4f0c7ffd20

[ "MIT" ]

null

janusbackup/database/models/base.py

NikitosnikN/janus-backup

413d365663b532a0611575be16ea0a4f0c7ffd20

[ "MIT" ]

null

from sqlalchemy.orm import declarative_base BaseModel = declarative_base()

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43

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6.888889

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1

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null

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1

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4

cce097a74f7770a02a0b465eedbc6410091e63cb

193

py

Python

Curso estadistica descriptiva/datos cuantitativos/datos_cuantitativos.py

DarkShadow4/python

4cd94e0cf53ee06c9c31e9272572ca9656697c30

[ "MIT" ]

null

Curso estadistica descriptiva/datos cuantitativos/datos_cuantitativos.py

DarkShadow4/python

4cd94e0cf53ee06c9c31e9272572ca9656697c30

[ "MIT" ]

null

Curso estadistica descriptiva/datos cuantitativos/datos_cuantitativos.py

DarkShadow4/python

4cd94e0cf53ee06c9c31e9272572ca9656697c30

[ "MIT" ]

1

2020-08-19T17:25:22.000Z

import pandas as pd import matplotlib.pyplot as plt data_frame = pd.read_table("../../../r-basic/data/datacrab.txt", sep = " ") data_frame data_frame.describe() data_frame.dropna().describe()

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7

76

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1

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null

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1

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4

cceaa0ef6fe09035bb772d996c4d7b31cdfc1309

152

py

Python

src/quo/keys/__init__.py

gerrishons/quo

58a1c54105e3663d62e473f8dad57a2cf1b8cc20

[ "MIT" ]

5

2021-06-17T21:06:39.000Z

2022-03-11T06:45:51.000Z

src/quo/keys/__init__.py

gerrishons/quo

58a1c54105e3663d62e473f8dad57a2cf1b8cc20

[ "MIT" ]

39

2021-07-19T19:36:18.000Z

2022-02-23T14:55:08.000Z

src/quo/keys/__init__.py

gerrishons/quo

58a1c54105e3663d62e473f8dad57a2cf1b8cc20

[ "MIT" ]

1

2021-05-31T17:19:15.000Z

from .list import Keys from .key_binding import KeyBinder from quo.keys.focus import next, previous from quo.keys.key_binding.vi_state import InputMode

30.4

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152

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true

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null

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692bd033816f48111398e3a6923af4907a75ff3a

90

py

Python

v_server/apps.py

binalyadav/VigilantServer

3b0d31d760789ffddf78a8988db9b77aecaf8910

[ "MIT" ]

null

v_server/apps.py

binalyadav/VigilantServer

3b0d31d760789ffddf78a8988db9b77aecaf8910

[ "MIT" ]

null

v_server/apps.py

binalyadav/VigilantServer

3b0d31d760789ffddf78a8988db9b77aecaf8910

[ "MIT" ]

null

from django.apps import AppConfig class VServerConfig(AppConfig): name = 'v_server'

15

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90

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false

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null

0

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4

c606a3dac1ff9fc021277ae2f5b50cbaa987847d

2,320

py

Python

testflows/_core/contrib/pygments/lexers/other.py

testflows/TestFlows-Core

0aa17247dffd2f7199465031ab16cc4f12c9cfb0

[ "Apache-2.0" ]

3

2020-06-25T19:23:19.000Z

2021-10-20T19:29:56.000Z

testflows/_core/contrib/pygments/lexers/other.py

testflows/TestFlows-Core

0aa17247dffd2f7199465031ab16cc4f12c9cfb0

[ "Apache-2.0" ]

null

testflows/_core/contrib/pygments/lexers/other.py

testflows/TestFlows-Core

0aa17247dffd2f7199465031ab16cc4f12c9cfb0

[ "Apache-2.0" ]

1

2020-02-24T12:31:45.000Z

# -*- coding: utf-8 -*- """ pygments.lexers.other ~~~~~~~~~~~~~~~~~~~~~ Just export lexer classes previously contained in this module. :copyright: Copyright 2006-2019 by the Pygments team, see AUTHORS. :license: BSD, see LICENSE for details. """ from testflows._core.contrib.pygments.lexers.sql import SqlLexer, MySqlLexer, SqliteConsoleLexer from testflows._core.contrib.pygments.lexers.shell import BashLexer, BashSessionLexer, BatchLexer, \ TcshLexer from testflows._core.contrib.pygments.lexers.robotframework import RobotFrameworkLexer from testflows._core.contrib.pygments.lexers.testing import GherkinLexer from testflows._core.contrib.pygments.lexers.esoteric import BrainfuckLexer, BefungeLexer, RedcodeLexer from testflows._core.contrib.pygments.lexers.prolog import LogtalkLexer from testflows._core.contrib.pygments.lexers.snobol import SnobolLexer from testflows._core.contrib.pygments.lexers.rebol import RebolLexer from testflows._core.contrib.pygments.lexers.configs import KconfigLexer, Cfengine3Lexer from testflows._core.contrib.pygments.lexers.modeling import ModelicaLexer from testflows._core.contrib.pygments.lexers.scripting import AppleScriptLexer, MOOCodeLexer, \ HybrisLexer from testflows._core.contrib.pygments.lexers.graphics import PostScriptLexer, GnuplotLexer, \ AsymptoteLexer, PovrayLexer from testflows._core.contrib.pygments.lexers.business import ABAPLexer, OpenEdgeLexer, \ GoodDataCLLexer, MaqlLexer from testflows._core.contrib.pygments.lexers.automation import AutoItLexer, AutohotkeyLexer from testflows._core.contrib.pygments.lexers.dsls import ProtoBufLexer, BroLexer, PuppetLexer, \ MscgenLexer, VGLLexer from testflows._core.contrib.pygments.lexers.basic import CbmBasicV2Lexer from testflows._core.contrib.pygments.lexers.pawn import SourcePawnLexer, PawnLexer from testflows._core.contrib.pygments.lexers.ecl import ECLLexer from testflows._core.contrib.pygments.lexers.urbi import UrbiscriptLexer from testflows._core.contrib.pygments.lexers.smalltalk import SmalltalkLexer, NewspeakLexer from testflows._core.contrib.pygments.lexers.installers import NSISLexer, RPMSpecLexer from testflows._core.contrib.pygments.lexers.textedit import AwkLexer from testflows._core.contrib.pygments.lexers.smv import NuSMVLexer __all__ = []

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null

0

1

0

1

0

4

c61ac19e2f388db5b5b9d470d398477a5a541329

6,989

py

Python

Weather_Trends.py

dsllt/Udacity_DA_P1

7251a359ddc90ceaf59196a530b5c79ca7624a7e

[ "MIT" ]

null

Weather_Trends.py

dsllt/Udacity_DA_P1

7251a359ddc90ceaf59196a530b5c79ca7624a7e

[ "MIT" ]

null

Weather_Trends.py

dsllt/Udacity_DA_P1

7251a359ddc90ceaf59196a530b5c79ca7624a7e

[ "MIT" ]

null

import pandas as pd import matplotlib.pyplot as plt import os # Set working directory os.chdir('/Users/dayanesallet/Documents/_Educação/Data Analyst Nanodegree/Weather Project/Data') # Import data PortoAlegre_temp = pd.read_csv('./PortoAlegre_Temperature_Data.csv') World_temp = pd.read_csv('./World_Temperature_Data.csv') Perth_temp = pd.read_csv('./Perth_Temperature_Data.csv') NY_temp = pd.read_csv('./NovaYORK_Temperature_Data.csv') Paris_temp = pd.read_csv('./Paris_Temperature_Data.csv') # Compute moving avarage PortoAlegre_temp_ma = PortoAlegre_temp['avg_temp'].rolling(window=7).mean() World_temp_ma = World_temp['avg_temp'].rolling(window=7).mean() Perth_temp_ma = Perth_temp['avg_temp'].rolling(window=7).mean() NY_temp_ma = NY_temp['avg_temp'].rolling(window=7).mean() Paris_temp_ma = Paris_temp['avg_temp'].rolling(window=7).mean() # Insert new column in the dataframe with the computed moving avareges PortoAlegre_temp.insert(4,'7-year Moving Avarage', PortoAlegre_temp_ma) World_temp.insert(2,'7-year Moving Avarage', World_temp_ma) Perth_temp.insert(2,'7-year Moving Avarage', Perth_temp_ma) NY_temp.insert(2,'7-year Moving Avarage', NY_temp_ma) Paris_temp.insert(2,'7-year Moving Avarage', Paris_temp_ma) # Verify NaN values PortoAlegre_temp['7-year Moving Avarage'].isnull().any() PortoAlegre_temp['7-year Moving Avarage'].isnull().sum() World_temp['7-year Moving Avarage'].isnull().any() World_temp['7-year Moving Avarage'].isnull().sum() # Plot the data # Moving Avarage Comparisson plt.plot(World_temp['year'],World_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1, label = 'World') plt.plot(PortoAlegre_temp['year'],PortoAlegre_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1, label = 'Porto Alegre') plt.xlabel('Year') plt.ylabel('Moving Avarege Temperature (ºC) \n 7-year window') plt.title("Comparison of Porto Alegre and the world's \n temperature (ºC) over the years", fontweight = 'bold') plt.axis([1838,2013,7,19.5]) plt.legend() plt.grid(True) plt.savefig('Moving Avarage Comparisson',dpi = 300,bbox_inches='tight') plt.show() # Porto Alegre mean temperature variation plt.plot(PortoAlegre_temp['year'],PortoAlegre_temp['avg_temp'], linestyle='-', marker='o',linewidth=2, markersize=1) plt.xlabel('Year') plt.ylabel('Mean Temperature (ºC)') plt.title("Mean temperature (ºC) variation in\n Porto Alegre over the years", fontweight = 'bold') plt.axis([1832,2013,16.5,20]) plt.grid(True) plt.savefig('Porto Alegre mean temperature variation',dpi = 300,bbox_inches='tight') plt.show() # Porto Alegre moving avarage temperature variation plt.plot(PortoAlegre_temp['year'],PortoAlegre_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1) plt.xlabel('Year') plt.ylabel('Moving Avarege Temperature (ºC) \n 7-year window') plt.title("Moving avarage temperature (ºC) variation in\n Porto Alegre over the years", fontweight = 'bold') plt.axis([1832,2013,16.5,20]) plt.grid(True) plt.savefig('Porto Alegre moving avarage temperature variation',dpi = 300,bbox_inches='tight') plt.show() # World mean temperature variation plt.plot(World_temp['year'],World_temp['avg_temp'], linestyle='-', marker='o',linewidth=2, markersize=1) plt.xlabel('Year') plt.ylabel('Mean Temperature (ºC)') plt.title("Mean temperature (ºC) variation in\n the world over the years", fontweight = 'bold') plt.axis([1750,2013,5.5,10]) plt.grid(True) plt.savefig('World mean temperature variation',dpi = 300,bbox_inches='tight') plt.show() # World moving avarage temperature variation plt.plot(World_temp['year'],World_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1) plt.xlabel('Year') plt.ylabel('Moving Avarege Temperature (ºC) \n 7-year window') plt.title("Moving avarage temperature (ºC) variation in\n the world over the years", fontweight = 'bold') plt.axis([1750,2013,6.5,10]) plt.grid(True) plt.savefig('World moving avarage temperature variation',dpi = 300,bbox_inches='tight') plt.show() # Subplot plt.figure(figsize=(6, 4)) plt.subplot(2, 1, 1) plt.plot(PortoAlegre_temp['year'],PortoAlegre_temp['avg_temp'], linestyle='-', marker='o',linewidth=2, markersize=1) plt.title("Porto Alegre mean temperature variation", fontweight = 'bold') plt.xlabel('Year') plt.ylabel('Avarege \n Temperature (ºC)') plt.grid(True) plt.subplot(2, 1, 2) plt.plot(World_temp['year'],World_temp['avg_temp'], linestyle='-', marker='o',linewidth=2, markersize=1) plt.title("World mean temperature variation", fontweight = 'bold') plt.xlabel('Year') plt.ylabel('Avarege \n Temperature (ºC)') plt.grid(True) plt.tight_layout() plt.savefig('Mean_Temp_POA_W',dpi = 300,bbox_inches='tight') plt.show() plt.figure(figsize=(6, 4)) plt.subplot(2, 1, 1) plt.plot(PortoAlegre_temp['year'],PortoAlegre_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1) plt.title("Porto Alegre moving average temperature variation", fontweight = 'bold') plt.xlabel('Year') plt.ylabel('Moving Avarege \n Temperature (ºC)') plt.grid(True) plt.subplot(2, 1, 2) plt.plot(World_temp['year'],World_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1) plt.title("World moving average temperature variation", fontweight = 'bold') plt.xlabel('Year') plt.ylabel('Moving Avarege \n Temperature (ºC)') plt.grid(True) plt.tight_layout() plt.savefig('Moving_Temp_POA_W',dpi = 300,bbox_inches='tight') plt.show() # Additional computations for comparisson # avg_temp_POA = PortoAlegre_temp['avg_temp'].mean() avg_temp_World = World_temp['avg_temp'][-len(PortoAlegre_temp['year'])-2:-2].mean() diff_avg_temp = avg_temp_POA - avg_temp_World PortoAlegre_temp.corrwith(World_temp[-len(PortoAlegre_temp['year'])-2:-2]) plt.plot(PortoAlegre_temp['year'],PortoAlegre_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1, label = 'Porto Alegre') plt.plot(Perth_temp['year'],Perth_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1, label = 'Perth') plt.plot(Paris_temp['year'],Paris_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1, label = 'Paris') plt.plot(NY_temp['year'],NY_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1, label = 'New York') plt.plot(World_temp['year'],World_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1, label = 'World') plt.xlabel('Year') plt.ylabel('Moving Avarege Temperature (ºC) \n 7-year window') plt.title("Comparison of different cities and the world's \n temperature (ºC) over the years", fontweight = 'bold') plt.axis([1838,2013,7,19.5]) plt.legend() plt.grid(True) plt.savefig('Multiple Cities Moving Avarage Comparisson',dpi = 300,bbox_inches='tight') plt.show()

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c65a3ce11868d872a8abd7a4dbf4737e1b8770e1

79

py

Python

facealigner.py

lawrenciumbc/Selfie_a_Day_AutoAlign

9dc88eae386b3cf706f737d4985ad80445232311

[ "MIT" ]

1

2021-05-17T18:20:33.000Z

facealigner.py

lbcard/Selfie_a_Day_AutoAlign

9dc88eae386b3cf706f737d4985ad80445232311

[ "MIT" ]

null

facealigner.py

lbcard/Selfie_a_Day_AutoAlign

9dc88eae386b3cf706f737d4985ad80445232311

[ "MIT" ]

null

#TO BE COMPLETED # align & scale images # grade images # encode as a video

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d6a696bcc81ebe01898e7bcbf36949ff50613458

125

py

Python

modules/dbnd-airflow/src/dbnd_airflow/__init__.py

ipattarapong/dbnd

7bd65621c46c73e078eb628f994127ad4c7dbd1a

[ "Apache-2.0" ]

null

modules/dbnd-airflow/src/dbnd_airflow/__init__.py

ipattarapong/dbnd

7bd65621c46c73e078eb628f994127ad4c7dbd1a

[ "Apache-2.0" ]

null

modules/dbnd-airflow/src/dbnd_airflow/__init__.py

ipattarapong/dbnd

7bd65621c46c73e078eb628f994127ad4c7dbd1a

[ "Apache-2.0" ]

null

from dbnd_airflow.tracking.dbnd_dag_tracking import track_dag, track_task __all__ = [ "track_dag", "track_task", ]

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d6c102964c8d19c6340fb2538877ea42421c20a1

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py

Python

letsencrypt/client/__init__.py

rivy/lets-encrypt-preview

759e233aaa36f33c413918e8ebbf1b949af1ce5d

[ "Apache-2.0" ]

null

letsencrypt/client/__init__.py

rivy/lets-encrypt-preview

759e233aaa36f33c413918e8ebbf1b949af1ce5d

[ "Apache-2.0" ]

null

letsencrypt/client/__init__.py

rivy/lets-encrypt-preview

759e233aaa36f33c413918e8ebbf1b949af1ce5d

[ "Apache-2.0" ]

1

2020-07-20T00:19:40.000Z

"""Let's Encrypt client."""

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d6d6db2a48af0a21c4a06da2b1fa1a912fb82500

186

py

Python

src/biokeen/convert/__init__.py

SmartDataAnalytics/Bio-KEEN

680dffb6cd170b0f79ea09f0f730f0baa9ce73d4

[ "MIT" ]

38

2018-11-13T18:38:46.000Z

2021-12-14T12:32:48.000Z

src/biokeen/convert/__init__.py

SmartDataAnalytics/Bio-KEEN

680dffb6cd170b0f79ea09f0f730f0baa9ce73d4

[ "MIT" ]

27

2018-10-08T09:01:59.000Z

2021-02-07T20:43:31.000Z

src/biokeen/convert/__init__.py

SmartDataAnalytics/Bio-KEEN

680dffb6cd170b0f79ea09f0f730f0baa9ce73d4

[ "MIT" ]

2

2019-12-04T19:49:06.000Z

2020-07-03T01:25:09.000Z

# -*- coding: utf-8 -*- """Conversion from BEL to proper triples.""" from .io import get_pykeen_summary, get_triple, to_pykeen_df, to_pykeen_path, to_pykeen_summary_path # noqa: F401

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d6d9944687d87a5370e3683dfe48598c09d60d67

682

py

Python

app/patch.py

christinoleo/vakg

622a8f5269d2f5c3e5209037bda1d0ea4735ab92

[ "MIT" ]

null

app/patch.py

christinoleo/vakg

622a8f5269d2f5c3e5209037bda1d0ea4735ab92

[ "MIT" ]

null

app/patch.py

christinoleo/vakg

622a8f5269d2f5c3e5209037bda1d0ea4735ab92

[ "MIT" ]

null

import os import sys from collections import namedtuple import pkg_resources IS_FROZEN = os.environ.get('_MEIPASS', False) # backup true function _true_get_distribution = pkg_resources.get_distribution # create small placeholder for the dash call # _flask_compress_version = parse_version(get_distribution("flask-compress").version) _Dist = namedtuple('_Dist', ['version']) def _get_distribution(dist): if IS_FROZEN and dist == 'flask-compress': return _Dist('1.10.0') else: return _true_get_distribution(dist) # monkey patch the function so it can work once frozen and pkg_resources is of # no help pkg_resources.get_distribution = _get_distribution

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d6fc0a8614c06559ce61975ee8ca9b8b53d67151

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py

Python

venv/lib/python3.8/site-packages/ansible_test/_util/target/common/__init__.py

saeedya/docker-ansible

6fb0cfc6bc4a5925b21380952a5a4502ec02119a

[ "Apache-2.0" ]

null

venv/lib/python3.8/site-packages/ansible_test/_util/target/common/__init__.py

saeedya/docker-ansible

6fb0cfc6bc4a5925b21380952a5a4502ec02119a

[ "Apache-2.0" ]

null

venv/lib/python3.8/site-packages/ansible_test/_util/target/common/__init__.py

saeedya/docker-ansible

6fb0cfc6bc4a5925b21380952a5a4502ec02119a

[ "Apache-2.0" ]

null

"""Nearly empty __init__.py to allow importing under Python 2.x.""" from __future__ import (absolute_import, division, print_function) __metaclass__ = type

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ba401d3463c84c4015a536582fdcc9e61a741e46

188

py

Python

jmetal/algorithm/singleobjective/__init__.py

12yuens2/jMetalPy

6f54940cb205df831f5498e2eac2520b331ee4fd

[ "MIT" ]

335

2017-03-16T19:44:50.000Z

2022-03-30T08:50:46.000Z

jmetal/algorithm/singleobjective/__init__.py

12yuens2/jMetalPy

6f54940cb205df831f5498e2eac2520b331ee4fd

[ "MIT" ]

85

2017-05-16T06:40:51.000Z

2022-02-05T23:43:49.000Z

jmetal/algorithm/singleobjective/__init__.py

12yuens2/jMetalPy

6f54940cb205df831f5498e2eac2520b331ee4fd

[ "MIT" ]

130

2017-02-08T01:19:15.000Z

2022-03-25T08:32:08.000Z

from .evolution_strategy import EvolutionStrategy from .genetic_algorithm import GeneticAlgorithm from .local_search import LocalSearch from .simulated_annealing import SimulatedAnnealing

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bab168fc9897a7a19de4aafd264e6b69f8b1ff18

1,498

py

Python

ansiscape/interpreters/__init__.py

cariad/ansiscape

07118b68729fcdc2198fc69c35bb1e9ef1bb5b80

[ "MIT" ]

null

ansiscape/interpreters/__init__.py

cariad/ansiscape

07118b68729fcdc2198fc69c35bb1e9ef1bb5b80

[ "MIT" ]

30

2021-09-05T13:56:21.000Z

2021-10-05T11:14:11.000Z

ansiscape/interpreters/__init__.py

cariad/ansiscape

07118b68729fcdc2198fc69c35bb1e9ef1bb5b80

[ "MIT" ]

null

from ansiscape.handlers import register_interpreter from ansiscape.interpreters.background import BackgroundValue from ansiscape.interpreters.blink import BlinkValue from ansiscape.interpreters.calligraphy import CalligraphyValue from ansiscape.interpreters.conceal import ConcealValue from ansiscape.interpreters.font import FontValue from ansiscape.interpreters.foreground import ForegroundValue from ansiscape.interpreters.frame import FrameValue from ansiscape.interpreters.ideogram import IdeogramValue from ansiscape.interpreters.invert import InvertValue from ansiscape.interpreters.overline import OverlineValue from ansiscape.interpreters.proportional_spacing import ProportionalSpacingValue from ansiscape.interpreters.strike import StrikeValue from ansiscape.interpreters.underline import UnderlineValue from ansiscape.interpreters.weight import WeightValue def register_interpreters() -> None: register_interpreter(BackgroundValue()) register_interpreter(BlinkValue()) register_interpreter(CalligraphyValue()) register_interpreter(ConcealValue()) register_interpreter(FontValue()) register_interpreter(ForegroundValue()) register_interpreter(FrameValue()) register_interpreter(IdeogramValue()) register_interpreter(InvertValue()) register_interpreter(OverlineValue()) register_interpreter(ProportionalSpacingValue()) register_interpreter(StrikeValue()) register_interpreter(UnderlineValue()) register_interpreter(WeightValue())

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bae8abc05c8db682ece32605519b5f8caf86d140

132

py

Python

designer/designer.py

pwentrys/SubstanceHelpers

8fb56158ee149792219e9cdb9479aaaed09a46bc

[ "MIT" ]

2

2018-09-12T23:35:33.000Z

2019-10-09T06:56:17.000Z

designer/designer.py

pwentrys/SubstanceHelpers

8fb56158ee149792219e9cdb9479aaaed09a46bc

[ "MIT" ]

null

designer/designer.py

pwentrys/SubstanceHelpers

8fb56158ee149792219e9cdb9479aaaed09a46bc

[ "MIT" ]

null

from designer.config import NAME, PATH, SHELVES from templates import app # Designer base DESIGNER = app.App(NAME, PATH, SHELVES)

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false

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0

1

0

null

0

1

0

4

bafab322988c53f029ae4b576bc1ef28c4ed276b

117

py

Python

AtCoder/NIKKEIPC2019qual/A.py

takaaki82/Java-Lessons

c4f11462bf84c091527dde5f25068498bfb2cc49

[ "MIT" ]

1

2018-11-25T04:15:45.000Z

AtCoder/NIKKEIPC2019qual/A.py

takaaki82/Java-Lessons

c4f11462bf84c091527dde5f25068498bfb2cc49

[ "MIT" ]

null

AtCoder/NIKKEIPC2019qual/A.py

takaaki82/Java-Lessons

c4f11462bf84c091527dde5f25068498bfb2cc49

[ "MIT" ]

2

2018-08-08T13:01:14.000Z

2018-11-25T12:38:36.000Z

N, A, B = map(int, input().split()) print(min(A, B), end=" ") if N - A <= B: print(B - N + A) else: print(0)

16.714286

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117

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null

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240391a714dc4a4d186095ab2b8d255750b2cb22

605

py

Python

classification/test.py

chika626/chainer_rep

a1d4fd32a8cfcab753269455d08c1918f273388d

[ "MIT" ]

null

classification/test.py

chika626/chainer_rep

a1d4fd32a8cfcab753269455d08c1918f273388d

[ "MIT" ]

7

2020-03-13T08:29:46.000Z

2020-05-27T17:34:14.000Z

classification/test.py

chika626/chainer_rep

a1d4fd32a8cfcab753269455d08c1918f273388d

[ "MIT" ]

null

import chainer import argparse from chainer import training from chainer.datasets import cifar from chainer.datasets import mnist import chainer.links as L import chainer.functions as F from chainer import iterators import numpy as np #from chainercv.transforms import resize from chainer.datasets import TransformDataset from chainer import optimizers from chainer.datasets import LabeledImageDataset from chainer.training import extensions import train_network as Net import data_set as dataset import configparser from chainer import serializers import datetime def main(): print('Hello World!')

25.208333

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0

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49

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null

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1

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1

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1

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4

242e15608449e98402d03ac5ee28eb0d9ea6aa5b

78

py

Python

majortom_gateway/__init__.py

grantperry/majortom_gateway_package

9251863813fedccc15dbe775e7c4ddddbd068d4c

[ "Apache-2.0" ]

null

majortom_gateway/__init__.py

grantperry/majortom_gateway_package

9251863813fedccc15dbe775e7c4ddddbd068d4c

[ "Apache-2.0" ]

null

majortom_gateway/__init__.py

grantperry/majortom_gateway_package

9251863813fedccc15dbe775e7c4ddddbd068d4c

[ "Apache-2.0" ]

null

from majortom_gateway.gateway_api import GatewayAPI name = "majortom_gateway"

26

51

0.858974

10

78

6.4

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0

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78

2

52

39

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null

1

0

1

0

null

0

1

0

4

2434a31acfea3567d4e5072dc92894088ca98230

214

py

Python

src/lesson_mathematics/math_frexp.py

jasonwee/asus-rt-n14uhp-mrtg

4fa96c3406e32ea6631ce447db6d19d70b2cd061

[ "Apache-2.0" ]

3

2018-08-14T09:33:52.000Z

2022-03-21T12:31:58.000Z

src/lesson_mathematics/math_frexp.py

jasonwee/asus-rt-n14uhp-mrtg

4fa96c3406e32ea6631ce447db6d19d70b2cd061

[ "Apache-2.0" ]

null

src/lesson_mathematics/math_frexp.py

jasonwee/asus-rt-n14uhp-mrtg

4fa96c3406e32ea6631ce447db6d19d70b2cd061

[ "Apache-2.0" ]

null

import math print('{:^7} {:^7} {:^7}'.format('x', 'm', 'e')) print('{:-^7} {:-^7} {:-^7}'.format('', '', '')) for x in [0.1, 0.5, 4.0]: m, e = math.frexp(x) print('{:7.2f} {:7.2f} {:7d}'.format(x, m, e))

23.777778

50

0.406542

39

214

2.230769

0.435897

0.091954

0.16092

0.183908

0.321839

0

0.096045

0.172897

214

8

51

26.75

0.39548

0

0.285047

0

1

0

false

0

0.166667

0

0.166667

0.5

0

null

0

1

0

1

0

1

0

null

0

1

0

4

2445889fc46ee8e38df50f8915fb808022fe6505

1,341

py

Python

gitamite/__init__.py

innovation-center-gitam-hyd/gitamite-library

2df1d6a9c5d5c07ad936c7dd3bd8d147f67dbe1d

[ "MIT" ]

null

gitamite/__init__.py

innovation-center-gitam-hyd/gitamite-library

2df1d6a9c5d5c07ad936c7dd3bd8d147f67dbe1d

[ "MIT" ]

null

gitamite/__init__.py

innovation-center-gitam-hyd/gitamite-library

2df1d6a9c5d5c07ad936c7dd3bd8d147f67dbe1d

[ "MIT" ]

1

2021-09-10T17:24:51.000Z

import requests from gitamite import glearn, moodle class Moodle: s = requests.session() username = 'username_here' password = 'password_here' def isMoodleLoggedIn(self): return moodle.isMoodleLoggedIn(self) def getMoodleHomepage(self): return moodle.getMoodleHomepage(self) def loginMoodle(self): moodle.loginMoodle(self) def logoutMoodle(self): moodle.logoutMoodle(self) def getUpcomingActivities(self): return moodle.getUpcomingActivities(self) class Glearn: s = requests.session() username = 'username_here' password = 'password_here' def isGlearnLoggedIn(self): return glearn.isGlearnLoggedIn(self) def loginGlearn(self): glearn.loginGlearn(self) def getGlearnHomePage(self): return glearn.getGlearnHomePage(self) def getPendingAssignments(self): return glearn.getPendingAssignments(self) def getTimetable(self): return glearn.getTimetable(self) def getTimetableToday(self): return glearn.getTimetableToday(self) def getCourses(self): return glearn.getCourses(self) def codeToName(self, timetable): return glearn.codeToName(self, timetable) def getEventsCalendar(self): return glearn.getEventsCalendar(self)

24.381818

49

0.686055

126

1,341

7.269841

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0.122271

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0.128821

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0.232662

1,341

55

50

24.381818

0.890185

0

0.157895

0

0.038748

0

1

0.368421

false

0.052632

0.289474

0.921053

0

null

0

null

0

1

0

1

0

1

0

4

79f441c49f531d92195dad40278a04d0d043ec46

471

py

Python

capstone/game/players/randplayer.py

davidrobles/mlnd-capstone-code

19ca88aaa137665af147da9bbd0e510829a14cf1

[ "MIT" ]

2

2017-04-13T18:31:39.000Z

2017-05-06T05:14:12.000Z

capstone/game/players/randplayer.py

davidrobles/mlnd-capstone-code

19ca88aaa137665af147da9bbd0e510829a14cf1

[ "MIT" ]

null

capstone/game/players/randplayer.py

davidrobles/mlnd-capstone-code

19ca88aaa137665af147da9bbd0e510829a14cf1

[ "MIT" ]

null

from ..player import Player from ...utils import check_random_state class RandPlayer(Player): name = 'RandPlayer' def __init__(self, random_state=None): self.random_state = check_random_state(random_state) def __str__(self): return 'RandPlayer' def __repr__(self): return 'RandPlayer' ########## # Player # ########## def choose_move(self, game): return self.random_state.choice(game.legal_moves())

19.625

60

0.63482

53

471

5.226415

0.433962

0.238267

0.162455

0

0.231423

471

23

61

20.478261

0.765193

0.012739

0

0.166667

0

0.068027

0

1

0.333333

false

0

0.166667

0.25

0.916667

0

null

1

0

null

0

1

0

1

0

4

030a56c8cfb64e8019ee4967b9f49d1fd70c9dbc

114

py

Python

PatternLib/__init__.py

paolotron/PatternLib

f260a7617474d59114118f09f7ebfc93a82d6159

[ "MIT" ]

2

2022-02-10T08:31:57.000Z

2022-03-31T10:21:32.000Z

PatternLib/__init__.py

paolotron/PatternLib

f260a7617474d59114118f09f7ebfc93a82d6159

[ "MIT" ]

null

PatternLib/__init__.py

paolotron/PatternLib

f260a7617474d59114118f09f7ebfc93a82d6159

[ "MIT" ]

null

""" TibLib Package for the implementation of models and algorithms from the MLPatternRecognition polito course """

38

106

0.815789

14

114

6.642857

0.928571

0

0.131579

114

3

107

38

0.939394

0.929825

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

031e1aeaed52f20f9afdb21a14450e4db86c8897

755

py

Python

setup.py

GianC-Dev/WrapperCreater

826345d16ecc7abeef41ec90fd7566397407ffda

[ "MIT" ]

1

2020-05-17T21:03:07.000Z

setup.py

GianC-Dev/WrapperCreater

826345d16ecc7abeef41ec90fd7566397407ffda

[ "MIT" ]

null

setup.py

GianC-Dev/WrapperCreater

826345d16ecc7abeef41ec90fd7566397407ffda

[ "MIT" ]

null

from distutils.core import setup setup( name='WrapperCreater', packages=['WrapperCreater'], version='3.0', license='MIT', description='WrapperCreater For Python With Code', author='GianC-Dev', author_email='gianegekck@gmail.com', url='https://github.com/GianC-Dev/WrapperCreater', keywords=['Code', 'Python', 'Wrapper', 'Init', 'Inıt'], install_requires=[ ], classifiers=[ 'Development Status :: 3 - Alpha', 'Intended Audience :: Developers', 'Topic :: Software Development :: Build Tools', 'License :: OSI Approved :: MIT License', 'Programming Language :: Python :: 3', 'Programming Language :: Python :: 3.4', 'Programming Language :: Python :: 3.5', 'Programming Language :: Python :: 3.6', ], )

29.038462

57

0.655629

81

755

6.08642

0.641975

0.154158

0.20284

0.210953

0

0.016

0.172185

755

25

58

30.2

0.7728

0

0.083333

0

0.624658

0

1

0

true

0

0.041667

0

0.041667

0

null

0

1

0

1

0

null

0

1

0

4

30304955448ef3675208924a24e48aa445673da5

121

py

Python

07-Array-Oriented-Programming-with-NumPy/7-4-Array-from-List-of-Lists.py

rajevac/deitel-intro-to-python-exercises

05f427d35ebb4bd315904f6919659335b1bf3fc9

[ "MIT" ]

null

07-Array-Oriented-Programming-with-NumPy/7-4-Array-from-List-of-Lists.py

rajevac/deitel-intro-to-python-exercises

05f427d35ebb4bd315904f6919659335b1bf3fc9

[ "MIT" ]

null

07-Array-Oriented-Programming-with-NumPy/7-4-Array-from-List-of-Lists.py

rajevac/deitel-intro-to-python-exercises

05f427d35ebb4bd315904f6919659335b1bf3fc9

[ "MIT" ]

null

import numpy as np arr_1 = [2, 3, 5, 7, 11] arr_2 = [13, 17, 19, 23, 29] arr_3 = np.array([arr_1, arr_2]) print(arr_3)

15.125

32

0.603306

29

121

2.310345

0.62069

0.119403

0

0.229167

0.206612

121

7

33

17.285714

0.46875

0

1

0

false

0

0.2

0

0.2

1

0

null

0

1

0

1

0

1

0

null

0

4

3038135e62af7c782f72bff1dda7473b8798992f

129

py

Python

Dominos.py

juliaviolet/Python_Bootcamp_Jos-_Padilla

0a061283edcb7b33d5a7e165e8811ee61d694515

[ "MIT" ]

null

Dominos.py

juliaviolet/Python_Bootcamp_Jos-_Padilla

0a061283edcb7b33d5a7e165e8811ee61d694515

[ "MIT" ]

null

Dominos.py

juliaviolet/Python_Bootcamp_Jos-_Padilla

0a061283edcb7b33d5a7e165e8811ee61d694515

[ "MIT" ]

null

for left in range(7): for right in range(left,7): print("[" + str(left) + "|" + str(right) + "]", end=" ") print

25.8

64

0.488372

18

129

3.5

0.5

0.222222

0

0.021505

0.27907

129

4

65

32.25

0.655914

0

0.031008

0

1

0

false

0

0.5

1

0

null

1

0

1

0

null

0

1

0

4

304288efca3bd2561e3828e3bfdf4cd5a2c65287

241

py

Python

initialarticle/admin.py

haykhman/online-newspaper

ebe38be63f3f037160532b33eb76bf9a22dbf171

[ "MIT" ]

1

2018-12-10T15:50:21.000Z

initialarticle/admin.py

haykhman/online-newspaper

ebe38be63f3f037160532b33eb76bf9a22dbf171

[ "MIT" ]

null

initialarticle/admin.py

haykhman/online-newspaper

ebe38be63f3f037160532b33eb76bf9a22dbf171

[ "MIT" ]

null

from django.contrib import admin from initialarticle.models import InitialArticle class InitialArticleAdmin(admin.ModelAdmin): list_display = ['by', 'category', 'keywords', 'pk'] admin.site.register(InitialArticle, InitialArticleAdmin)

34.428571

56

0.80083

25

241

7.68

0.72

0

0.095436

241

7

56

34.428571

0.880734

0

0.082645

0

1

0

false

0

0.4

0

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

4

0621f9a703312747574d0f37b6a18a3fb9a8f3a8

117

py

Python

sameproject/backends/durable_functions/__main__.py

js-ts/fix-same-dataset-tests

d76091d1b7bac4d267caaf9b6e04dd255aef8053

[ "Apache-2.0" ]

null

sameproject/backends/durable_functions/__main__.py

js-ts/fix-same-dataset-tests

d76091d1b7bac4d267caaf9b6e04dd255aef8053

[ "Apache-2.0" ]

null

sameproject/backends/durable_functions/__main__.py

js-ts/fix-same-dataset-tests

d76091d1b7bac4d267caaf9b6e04dd255aef8053

[ "Apache-2.0" ]

null

"""Importing dill with Python 3.9 is causing some trouble with __main__ which necessitates this file to be here. """

39

112

0.769231

19

117

4.526316

0.947368

0

0.020408

0.162393

117

2

113

58.5

0.857143

0.931624

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

067e00998a241f1c1f61210efca599b573bddc39

591

py

Python

Geometry/HcalCommonData/python/testPhase2GeometryFine_cff.py

NTrevisani/cmssw

a212a27526f34eb9507cf8b875c93896e6544781

[ "Apache-2.0" ]

3

2018-08-24T19:10:26.000Z

2019-02-19T11:45:32.000Z

Geometry/HcalCommonData/python/testPhase2GeometryFine_cff.py

NTrevisani/cmssw

a212a27526f34eb9507cf8b875c93896e6544781

[ "Apache-2.0" ]

7

2016-07-17T02:34:54.000Z

2019-08-13T07:58:37.000Z

Geometry/HcalCommonData/python/testPhase2GeometryFine_cff.py

NTrevisani/cmssw

a212a27526f34eb9507cf8b875c93896e6544781

[ "Apache-2.0" ]

5

2018-08-21T16:37:52.000Z

2020-01-09T13:33:17.000Z

import FWCore.ParameterSet.Config as cms # # Geometry master configuration # # Ideal geometry, needed for simulation from Geometry.HcalCommonData.testPhase2GeometryFineXML_cfi import * from Geometry.TrackerNumberingBuilder.trackerNumberingGeometry_cfi import * from Geometry.HcalCommonData.hcalParameters_cfi import * from Geometry.HcalCommonData.hcalDDDSimConstants_cfi import * from Geometry.HGCalCommonData.hgcalV6ParametersInitialization_cfi import * from Geometry.HGCalCommonData.hgcalV6NumberingInitialization_cfi import * from Geometry.CaloEventSetup.HGCalTopology_cfi import *

42.214286

75

0.86802

56

591

9.035714

0.464286

0.166008

0.15415

0.249012

0.280632

0

0.005545

0.084602

591

13

76

45.461538

0.92976

0.113367

0

1

0

true

0

1

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1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

ebea9630bd78bc48fec7d1a9f927d5d7907af7cd

49

py

Python

subject/__init__.py

duhee77/Your-class-Backend

e89c3daa7be0e8daa44817c9c5075e3671022367

[ "MIT" ]

1

2020-12-25T15:30:19.000Z

subject/__init__.py

duhee77/Your-class-Backend

e89c3daa7be0e8daa44817c9c5075e3671022367

[ "MIT" ]

null

subject/__init__.py

duhee77/Your-class-Backend

e89c3daa7be0e8daa44817c9c5075e3671022367

[ "MIT" ]

null

default_app_config = 'subject.apps.SubjectConfig'

49

0.857143

6

49

6.666667

1

0

0.040816

49

1

49

0.851064

0

0.52

0

1

0

false

0

1

0

null

0

1

0

1

null

0

4

ebff14c7d36328650d59ee0c4880bba82be4f34c

335

py

Python

test/test_basic.py

emileKing/nova-bot

363e69b5830a44be5c51bc1ccb646657cefc43b8

[ "MIT" ]

1

2021-11-26T13:55:51.000Z

test/test_basic.py

emileKing/nova-bot

363e69b5830a44be5c51bc1ccb646657cefc43b8

[ "MIT" ]

1

2020-03-31T13:12:31.000Z

test/test_basic.py

emileKing/nova-bot

363e69b5830a44be5c51bc1ccb646657cefc43b8

[ "MIT" ]

1

2020-04-30T19:11:21.000Z

# import os # import sys # sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))) # from becca.manager.text import DatasetManager # dataset_man = DatasetManager() # print (dataset_man.get_dataset()) # print ("-"*30) # print (dataset_man.get_class_words()) # print ("-"*30) # print (dataset_man.corpus)

20.9375

84

0.698507

46

335

4.847826

0.5

0.179372

0.201794

0.161435

0.197309

0

0.016892

0.116418

335

16

85

20.9375

0.736486

0.922388

0

null

0

null

0

null

0

null

1

null

true

0

null

0

null

0

1

0

1

0

null

0

1

0

4

2339c4b7f003a3c95c3346d5daf5e827851f87dd

89

py

Python

heatmap/apps.py

noahbkim/finances

98e2d0cf1bcabcc9785177d36c581e6d3f7caba7

[ "BSD-3-Clause" ]

null

heatmap/apps.py

noahbkim/finances

98e2d0cf1bcabcc9785177d36c581e6d3f7caba7

[ "BSD-3-Clause" ]

null

heatmap/apps.py

noahbkim/finances

98e2d0cf1bcabcc9785177d36c581e6d3f7caba7

[ "BSD-3-Clause" ]

1

2019-02-14T08:09:46.000Z

from django.apps import AppConfig class HeatmapConfig(AppConfig): name = 'heatmap'

14.833333

33

0.752809

10

89

6.7

0.9

0

0.168539

89

5

34

17.8

0.905405

0

0.078652

0

1

0

false

0

0.333333

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

4

88d6381204579af33c8343d56616fdd716fea951

19,223

py

Python

tests/unit/test_font.py

DakaraProject/dakara-player

6690c4c29506d0162382cc38a41f95850d5831ba

[ "MIT" ]

3

2018-07-24T23:08:51.000Z

2020-01-24T16:30:27.000Z

tests/unit/test_font.py

DakaraProject/dakara-player-vlc

6690c4c29506d0162382cc38a41f95850d5831ba

[ "MIT" ]

36

2018-03-06T13:43:42.000Z

2021-01-16T18:30:37.000Z

tests/unit/test_font.py

DakaraProject/dakara-player

6690c4c29506d0162382cc38a41f95850d5831ba

[ "MIT" ]

1

2020-01-20T20:52:00.000Z

import sys from unittest import TestCase, skipUnless from unittest.mock import call, patch from path import Path from dakara_player.font import ( FontLoaderLinux, FontLoaderNotAvailableError, FontLoaderWindows, get_font_loader_class, ) class GetFontLoaderClassTestCase(TestCase): """Test font loader class getter.""" def test(self): """Test to get the correct font loader class for the platform.""" # call for Linux with patch("dakara_player.font.sys.platform", "linux"): FontLoaderClass = get_font_loader_class() self.assertEqual(FontLoaderClass, FontLoaderLinux) # call for Windows with patch("dakara_player.font.sys.platform", "win32"): FontLoaderClass = get_font_loader_class() self.assertEqual(FontLoaderClass, FontLoaderWindows) # call for uniplemented OS with patch("dakara_player.font.sys.platform", "other"): with self.assertRaisesRegex( NotImplementedError, r"This operating system \(other\) is not currently supported", ): get_font_loader_class() class FontLoaderTestCase(TestCase): """Helper to test font loader classes.""" def setUp(self): # create directory self.directory = Path("directory") # create font file list self.font_name = "font_file.ttf" self.font_name_list = [self.font_name] self.font_path = self.directory / self.font_name self.font_path_list = {self.font_name: self.font_path} class FontLoaderCommonTestCase(FontLoaderTestCase): """Test common methods of the font loaders.""" def get_font_loader(self): """Return an instance of the font loader.""" with self.assertLogs("dakara_player.font", "DEBUG"): return FontLoaderLinux("package") @patch.object(FontLoaderLinux, "unload") def test_context_manager(self, mocked_unload): """Test the font loader context manager.""" with FontLoaderLinux("package"): pass mocked_unload.assert_called_with() @patch("dakara_player.font.contents", autospec=True) def test_get_font_name_list(self, mocked_contents): """Test to get list of font names.""" # mock system calls mocked_contents.return_value = [self.font_name, "__init__.py"] font_loader = self.get_font_loader() # call the method with self.assertLogs("dakara_player.font", "DEBUG") as logger: font_name_list = font_loader.get_font_name_list() # assert the result self.assertListEqual(font_name_list, self.font_name_list) # assert effect on logs self.assertListEqual( logger.output, [ "DEBUG:dakara_player.font:Scanning fonts directory", "DEBUG:dakara_player.font:Found 1 font(s) to load", ], ) # call assertions mocked_contents.assert_called_once_with("package") @patch("dakara_player.font.path") @patch.object(FontLoaderLinux, "get_font_name_list", autospec=True) def test_get_font_path_iterator(self, mocked_get_font_name_list, mocked_path): """Test to get iterator of font paths.""" mocked_get_font_name_list.return_value = self.font_name_list mocked_path.return_value.__enter__.return_value = ( self.directory / self.font_name ) font_loader = self.get_font_loader() # call the method font_file_path_list = list(font_loader.get_font_path_iterator()) self.assertListEqual(font_file_path_list, [self.font_path]) @skipUnless(sys.platform.startswith("linux"), "Can be tested on Linux only") class FontLoaderLinuxTestCase(FontLoaderTestCase): """Test the Linux font loader.""" def setUp(self): super().setUp() # save user directory self.user_directory = Path("~").expanduser() def get_font_loader(self): """Return an instance of the font loader.""" with self.assertLogs("dakara_player.font", "DEBUG"): return FontLoaderLinux("package") @patch.object(FontLoaderLinux, "load_font", autospec=True) @patch.object(FontLoaderLinux, "get_font_path_iterator", autospec=True) @patch.object(Path, "walkfiles", autospec=True) @patch.object(Path, "mkdir_p", autospec=True) def test_load( self, mocked_mkdir_p, mocked_walkfiles, mocked_get_font_path_iterator, mocked_load_font, ): """Test to load fonts.""" # prepare the mock mocked_get_font_path_iterator.return_value = (p for p in [self.font_path]) mocked_walkfiles.side_effect = [ (p for p in [Path("/") / "usr" / "share" / "fonts" / "font1"]), (p for p in [self.user_directory / ".fonts" / "font2"]), ] font_loader = self.get_font_loader() # call the method font_loader.load() # assert the call mocked_mkdir_p.assert_called_once_with(self.user_directory / ".fonts") mocked_walkfiles.assert_has_calls( [ call(Path("/") / "usr" / "share" / "fonts"), call(self.user_directory / ".fonts"), ] ) mocked_get_font_path_iterator.assert_called_once_with(font_loader) mocked_load_font.assert_called_once_with( font_loader, self.font_path, [Path("/") / "usr" / "share" / "fonts" / "font1"], [self.user_directory / ".fonts" / "font2"], ) @patch.object(Path, "unlink", autospec=True) @patch.object(Path, "copy", autospec=True) @patch.object(Path, "islink", autospec=True) def test_load_font_system(self, mocked_islink, mocked_copy, mocked_unlink): """Test to load one font which is in system directory.""" font_loader = self.get_font_loader() # pre assertions self.assertEqual(len(font_loader.fonts_loaded), 0) # call the method with self.assertLogs("dakara_player.font", "DEBUG") as logger: font_loader.load_font( self.font_path, [Path("/") / "usr" / "share" / "fonts" / "truetype" / "font_file.ttf"], [], ) # post assertions self.assertEqual(len(font_loader.fonts_loaded), 0) # assert effect on logs self.assertListEqual( logger.output, [ "DEBUG:dakara_player.font:Font 'font_file.ttf' " "found in system directory" ], ) # assert the call mocked_islink.assert_not_called() mocked_unlink.assert_not_called() mocked_copy.assert_not_called() @patch.object(Path, "unlink", autospec=True) @patch.object(Path, "copy", autospec=True) @patch.object(Path, "islink", autospec=True) def test_load_font_user(self, mocked_islink, mocked_copy, mocked_unlink): """Test to load one font which is in user directory.""" font_loader = self.get_font_loader() # pre assertions self.assertEqual(len(font_loader.fonts_loaded), 0) # call the method with self.assertLogs("dakara_player.font", "DEBUG") as logger: font_loader.load_font( self.font_path, [], [self.user_directory / "fonts" / "truetype" / "font_file.ttf"], ) # post assertions self.assertEqual(len(font_loader.fonts_loaded), 0) # assert effect on logs self.assertListEqual( logger.output, [ "DEBUG:dakara_player.font:Font 'font_file.ttf' " "found in user directory" ], ) # assert the call mocked_islink.assert_not_called() mocked_unlink.assert_not_called() mocked_copy.assert_not_called() @patch.object(Path, "unlink", autospec=True) @patch.object(Path, "copy", autospec=True) @patch.object(Path, "islink", autospec=True) def test_load_font_user_link_dead_install( self, mocked_islink, mocked_copy, mocked_unlink, ): """Test to load one font which is in user directory as dead link.""" # prepare the mock mocked_islink.return_value = True font_loader = self.get_font_loader() # pre assertions self.assertEqual(len(font_loader.fonts_loaded), 0) # call the method with self.assertLogs("dakara_player.font", "DEBUG") as logger: font_loader.load_font(self.font_path, [], []) # post assertions self.assertEqual(len(font_loader.fonts_loaded), 1) # assert effect on logs font_path = self.user_directory / ".fonts/font_file.ttf" self.assertListEqual( logger.output, [ "DEBUG:dakara_player.font:Dead symbolic link found for " "font 'font_file.ttf' in user directory, removing it", "DEBUG:dakara_player.font:Font 'font_file.ttf' " "loaded in user directory: '{}'".format(font_path), ], ) # assert the call mocked_islink.assert_called_with(font_path) mocked_unlink.assert_called_with(font_path) mocked_copy.assert_called_once_with("directory/font_file.ttf", font_path) @patch.object(Path, "unlink", autospec=True) @patch.object(Path, "copy", autospec=True) @patch.object(Path, "islink", autospec=True) def test_load_font_install(self, mocked_islink, mocked_copy, mocked_unlink): """Test to load one font which is not installed.""" # prepare the mock mocked_islink.return_value = False font_loader = self.get_font_loader() # pre assertions self.assertEqual(len(font_loader.fonts_loaded), 0) # call the method with self.assertLogs("dakara_player.font", "DEBUG") as logger: font_loader.load_font(self.font_path, [], []) # post assertions self.assertEqual(len(font_loader.fonts_loaded), 1) self.assertEqual( font_loader.fonts_loaded[self.font_name], self.user_directory / ".fonts/font_file.ttf", ) # assert effect on logs font_path = self.user_directory / ".fonts/font_file.ttf" self.assertListEqual( logger.output, [ "DEBUG:dakara_player.font:Font 'font_file.ttf' " "loaded in user directory: '{}'".format(font_path) ], ) # assert the call mocked_islink.assert_called_with(font_path) mocked_unlink.assert_not_called() mocked_copy.assert_called_once_with( "directory/font_file.ttf", self.user_directory / ".fonts/font_file.ttf" ) @patch.object(Path, "unlink", autospec=True) def test_unload(self, mocked_unlink): """Test to unload fonts.""" font_loader = self.get_font_loader() # set a font as loaded font_loader.fonts_loaded = {"font1": Path("font1"), "font2": Path("font2")} # call the method font_loader.unload() # assert the call # especially check that the unload function does not alter the list of # elements we are iterating on mocked_unlink.assert_has_calls([call("font1"), call("font2")]) @patch.object(Path, "unlink", autospec=True) def test_unload_font(self, mocked_unlink): """Test to unload one font.""" font_loader = self.get_font_loader() # set a font as loaded font_loader.fonts_loaded = self.font_path_list # pre assert there is one font loaded self.assertEqual(len(font_loader.fonts_loaded), 1) # call the method with self.assertLogs("dakara_player.font", "DEBUG") as logger: font_loader.unload_font(self.font_name) # assert there are no font loaded anymore self.assertEqual(len(font_loader.fonts_loaded), 0) # assert effect of logs self.assertListEqual( logger.output, ["DEBUG:dakara_player.font:Font 'font_file.ttf' unloaded"], ) # assert the call mocked_unlink.assert_called_once_with(self.font_path) @patch.object(Path, "unlink", autospec=True) def test_unload_font_error(self, mocked_unlink): """Test to unload one font when unable to remove font.""" mocked_unlink.side_effect = OSError("error message") font_loader = self.get_font_loader() # set a font as loaded font_loader.fonts_loaded = self.font_path_list # pre assert there is one font loaded self.assertEqual(len(font_loader.fonts_loaded), 1) # call the method with self.assertLogs("dakara_player.font", "ERROR") as logger: font_loader.unload_font(self.font_name) # assert there are no font loaded anymore self.assertEqual(len(font_loader.fonts_loaded), 0) # assert effect of logs self.assertListEqual( logger.output, [ "ERROR:dakara_player.font:Font 'font_file.ttf' in " "'directory/font_file.ttf' cannot be unloaded: error message" ], ) class FontLoaderWindowsTestCase(TestCase): """Test the Windows font loader.""" def setUp(self): # create directory self.directory = Path("directory") # create font file list self.font_name = "font_file.ttf" self.font_name_list = [self.font_name] self.font_path = self.directory / self.font_name self.font_path_list = {self.font_name: self.font_path} def get_font_loader(self): """Return an instance of the font loader.""" with self.assertLogs("dakara_player.font", "DEBUG"): return FontLoaderWindows("package") @patch("dakara_player.font.ctypes", spec=[]) def test_init_no_windll(self, mocked_ctypes): """Test to create font loader on a different OS.""" with self.assertRaisesRegex( FontLoaderNotAvailableError, "FontLoaderWindows can only be used on Windows" ): self.get_font_loader() @patch("dakara_player.font.ctypes") @patch.object(FontLoaderWindows, "load_font", autospec=True) @patch.object(FontLoaderWindows, "get_font_path_iterator", autospec=True) def test_load(self, mocked_get_font_path_iterator, mocked_load_font, mocked_ctypes): """Test to load fonts.""" # prepare the mock mocked_get_font_path_iterator.return_value = (p for p in [self.font_path]) font_loader = self.get_font_loader() # call the method font_loader.load() # assert the call mocked_get_font_path_iterator.assert_called_once_with(font_loader) mocked_load_font.assert_called_once_with(font_loader, self.font_path) @patch("dakara_player.font.ctypes") def test_load_font(self, mocked_ctypes): """Test to load one font.""" # setup mock mocked_ctypes.windll.gdi32.AddFontResourceW.return_value = 1 font_loader = self.get_font_loader() # pre assertions self.assertEqual(len(font_loader.fonts_loaded), 0) # call the method with self.assertLogs("dakara_player.font", "DEBUG") as logger: font_loader.load_font(self.font_path) # post assertions self.assertEqual(len(font_loader.fonts_loaded), 1) # assert effect on logs self.assertListEqual( logger.output, ["DEBUG:dakara_player.font:Font 'font_file.ttf' loaded"], ) # assert the call mocked_ctypes.windll.gdi32.AddFontResourceW.assert_called_once_with( self.font_path ) @patch("dakara_player.font.ctypes") def test_load_font_error(self, mocked_ctypes): """Test to fail to load one font.""" # setup mock mocked_ctypes.windll.gdi32.AddFontResourceW.return_value = 0 font_loader = self.get_font_loader() # pre assertions self.assertEqual(len(font_loader.fonts_loaded), 0) # call the method with self.assertLogs("dakara_player.font", "DEBUG") as logger: font_loader.load_font(self.font_path) # post assertions self.assertEqual(len(font_loader.fonts_loaded), 0) # assert effect on logs self.assertListEqual( logger.output, ["WARNING:dakara_player.font:Font 'font_file.ttf' cannot be loaded"], ) @patch("dakara_player.font.ctypes") @patch.object(FontLoaderWindows, "unload_font") def test_unload(self, mocked_unload_font, mocked_ctypes): """Test to unload fonts.""" font_loader = self.get_font_loader() # set a font as loaded font_loader.fonts_loaded = {"font1": Path("font1"), "font2": Path("font2")} # call the method font_loader.unload() # assert the call mocked_unload_font.assert_has_calls([call("font1"), call("font2")]) @patch("dakara_player.font.ctypes") def test_unload_font(self, mocked_ctypes): """Test to unload one font.""" # setup mock mocked_ctypes.windll.gdi32.RemoveFontResourceW.return_value = 1 font_loader = self.get_font_loader() # set a font as loaded font_loader.fonts_loaded = self.font_path_list # pre assert there is one font loaded self.assertEqual(len(font_loader.fonts_loaded), 1) # call the method with self.assertLogs("dakara_player.font", "DEBUG") as logger: font_loader.unload_font(self.font_name) # assert there are no font loaded anymore self.assertEqual(len(font_loader.fonts_loaded), 0) # assert effect of logs self.assertListEqual( logger.output, ["DEBUG:dakara_player.font:Font 'font_file.ttf' unloaded"], ) # assert the call mocked_ctypes.windll.gdi32.RemoveFontResourceW.assert_called_once_with( self.font_path ) @patch("dakara_player.font.ctypes") def test_unload_font_error(self, mocked_ctypes): """Test to fail to unload one font.""" # setup mock mocked_ctypes.windll.gdi32.RemoveFontResourceW.return_value = 0 font_loader = self.get_font_loader() # set a font as loaded font_loader.fonts_loaded = self.font_path_list # pre assert there is one font loaded self.assertEqual(len(font_loader.fonts_loaded), 1) print(font_loader.fonts_loaded) # call the method with self.assertLogs("dakara_player.font", "DEBUG") as logger: font_loader.unload_font(self.font_name) # assert there are no font loaded anymore self.assertEqual(len(font_loader.fonts_loaded), 0) # assert effect of logs self.assertListEqual( logger.output, [ "WARNING:dakara_player.font:Font 'font_file.ttf' cannot " "be unloaded", ], )

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0

null

0

1

0

1

0

null

0

4

88fa79a2caad2689e85d32b1f40fcb21d4fa69ea

202

py

Python

app/controllers/users/get_users.py

Brunoro811/api_dangels

21c064eaa4f5009412dddc9676044d6cc08a5b65

[ "MIT" ]

null

app/controllers/users/get_users.py

Brunoro811/api_dangels

21c064eaa4f5009412dddc9676044d6cc08a5b65

[ "MIT" ]

null

app/controllers/users/get_users.py

Brunoro811/api_dangels

21c064eaa4f5009412dddc9676044d6cc08a5b65

[ "MIT" ]

null

from flask import jsonify from http import HTTPStatus from app.models.users.users_model import UsersModel def get_users(): users = UsersModel.query.all() return jsonify(users), HTTPStatus.OK

20.2

51

0.772277

28

202

5.5

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0.12987

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0.153465

202

9

52

22.444444

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false

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null

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1

0

1

0

4

000a605d81d30e3bc09d69f5e44a2d9969f245b3

259

py

Python

studentDetailsAPI/studentApp/models.py

sk-sharique/StudentDetailsAPI

ed7b1fd124f1314716c8723a227658f53512f26b

[ "MIT" ]

1

2021-04-10T14:29:30.000Z

studentDetailsAPI/studentApp/models.py

sk-sharique/Django-StudentDetailsAPI

ed7b1fd124f1314716c8723a227658f53512f26b

[ "MIT" ]

null

studentDetailsAPI/studentApp/models.py

sk-sharique/Django-StudentDetailsAPI

ed7b1fd124f1314716c8723a227658f53512f26b

[ "MIT" ]

null

from django.db import models # Create your models here. class student(models.Model): name=models.CharField(max_length=30) email=models.EmailField() dob=models.DateField() age=models.IntegerField() standard=models.CharField(max_length=30)

25.9

44

0.745174

34

259

5.617647

0.676471

0.157068

0.188482

0.251309

0.272251

0

0.018018

0.142857

259

9

45

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0.092664

0

1

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false

0

0.142857

0

1

0

null

0

1

0

1

0

null

0

1

0

4

0020cdcfc157c62104376120beb9491fb7295274

147

py

Python

workbench/phyloblast/scripts/api.py

adebali/adebali

e8fa22c64bada8b3845869aa35f9672b1a07facd

[ "MIT" ]

null

workbench/phyloblast/scripts/api.py

adebali/adebali

e8fa22c64bada8b3845869aa35f9672b1a07facd

[ "MIT" ]

1

2020-07-15T21:40:13.000Z

workbench/phyloblast/scripts/api.py

adebali/adebali.github.io

e8fa22c64bada8b3845869aa35f9672b1a07facd

[ "MIT" ]

null

#!/usr/bin/python from pymongo import mogno import cgi, cgitb arguments = cgi.FieldStorage() for i in arguments.keys(): print arguments[i].value

18.375

30

0.755102

22

147

5.045455

0.772727

0

0.129252

147

7

31

21

0.867188

0.108844

0

null

0

0.4

null

0.2

1

0

null

0

1

0

null

0

1

0

1

0

4

cc41f2fba3940cc984a46b69f841156102c02e83

4,362

py

Python

multiscale/imagej/Examples/imglyb_jar_call.py

uw-loci/multiscale_imaging

d1c616a300d2cbc9b09471e6ee3d8684606bc9b9

[ "BSD-2-Clause" ]

1

2020-01-24T15:12:23.000Z

multiscale/imagej/Examples/imglyb_jar_call.py

uw-loci/multiscale_imaging

d1c616a300d2cbc9b09471e6ee3d8684606bc9b9

[ "BSD-2-Clause" ]

null

multiscale/imagej/Examples/imglyb_jar_call.py

uw-loci/multiscale_imaging

d1c616a300d2cbc9b09471e6ee3d8684606bc9b9

[ "BSD-2-Clause" ]

null

import os os.environ['PYJNIUS_JAR'] = r'C:\Users\mpinkert\AppData\Local\Continuum\anaconda3\envs\pyimagej\share\pyjnius\pyjnius.jar' os.environ['PATH'] = r'C:\Users\mpinkert\AppData\Local\Continuum\anaconda3\envs\pyimagej\Library\jre\bin\server;C:\Users\mpinkert\AppData\Local\Continuum\anaconda3\envs\pyimagej\Library\bin;C:\Users\mpinkert\AppData\Local\Continuum\anaconda3\envs\install\Library\jre\bin\server;C:\Users\mpinkert\AppData\Local\Continuum\anaconda3\envs\install\Library\bin;C:\Users\mpinkert\AppData\Local\Continuum\anaconda3\envs\pyimagej\Library\jre\bin\server;C:\Users\mpinkert\AppData\Local\Continuum\anaconda3\envs\pyimagej\Library\bin;C:\Users\mpinkert\AppData\Local\Continuum\anaconda3\envs\pyimagej;C:\Users\mpinkert\AppData\Local\Continuum\anaconda3\envs\pyimagej\Library\mingw-w64\bin;C:\Users\mpinkert\AppData\Local\Continuum\anaconda3\envs\pyimagej\Library\usr\bin;C:\Users\mpinkert\AppData\Local\Continuum\anaconda3\envs\pyimagej\Library\bin;C:\Users\mpinkert\AppData\Local\Continuum\anaconda3\envs\pyimagej\Scripts;C:\Users\mpinkert\AppData\Local\Continuum\anaconda3\envs\pyimagej\bin;C:\Users\mpinkert\AppData\Local\Continuum\anaconda3;C:\Users\mpinkert\AppData\Local\Continuum\anaconda3\Library\mingw-w64\bin;C:\Users\mpinkert\AppData\Local\Continuum\anaconda3\Library\usr\bin;C:\Users\mpinkert\AppData\Local\Continuum\anaconda3\Library\bin;C:\Users\mpinkert\AppData\Local\Continuum\anaconda3\Scripts;C:\Users\mpinkert\AppData\Local\Continuum\anaconda3\bin;C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\ProgramData\Oracle\Java\javapath;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPowerShell\v1.0\;C:\Program Files\MATLAB\R2017a\runtime\win64;C:\Program Files\MATLAB\R2017a\bin;C:\Program Files\Microsoft SQL Server\Client SDK\ODBC\110\Tools\Binn\;C:\Program Files (x86)\Microsoft SQL Server\120\Tools\Binn\;C:\Program Files\Microsoft SQL Server\120\Tools\Binn\;C:\Program Files\Microsoft SQL Server\120\DTS\Binn\;C:\Program Files (x86)\Windows Kits\8.1\Windows Performance Toolkit\;C:\apache-maven-3.3.9\bin;C:\ProgramData\chocolatey\bin;C:\Program Files (x86)\AMD\ATI.ACE\Core-Static;C:\Program Files (x86)\Aperio\Common;C:\Program Files\PuTTY\;C:\Program Files\Java\jdk1.8.0_91\bin\;C:\Program Files (x86)\Google\Chrome\Application;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\ProgramData\Oracle\Java\javapath;C:\Windows\system32;C:\Windows;C:\Windows\System32\Wbem;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Program Files\MATLAB\R2016a\runtime\win64;C:\Program Files\MATLAB\R2016a\bin;C:\Program Files\Microsoft SQL Server\Client SDK\ODBC\110\Tools\Binn\;C:\Program Files (x86)\Microsoft SQL Server\120\Tools\Binn\;C:\Program Files\Microsoft SQL Server\120\Tools\Binn\;C:\Program Files\Microsoft SQL Server\120\DTS\Binn\;C:\Program Files (x86)\Windows Kits\8.1\Windows Performance Toolkit\;C:\Users\mpinkert\AppData\Local\Programs\Git\cmd;C:\Users\mpinkert\AppData\Local\Microsoft\WindowsApps;C:\Users\mpinkert\AppData\Local\Programs\MiKTeX 2.9\miktex\bin\x64' os.environ['JAVA_HOME'] = r'C:\Program Files\Java\jdk1.8.0_91' os.environ['JDK_HOME'] = r'C:\Users\mpinkert\AppData\Local\Continuum\anaconda3\envs\pyimagej\Library' import imagej ij = imagej.init(r'C:\Users\mpinkert\Desktop\Fiji.app') from jnius import autoclass, JavaException, cast macro = r""" run("Grid/Collection stitching", "type=[Grid: row-by-row] order=[Right & Down ]""" +\ r""" grid_size_x=3 grid_size_y=1 tile_overlap=27 first_file_index_i=0""" +\ r""" directory=F:\\Research\\LINK\\US\\2018-08-17\\ file_names=FirstImage3D_Overlap-27_{i}.tif""" +\ r""" output_textfile_name=TileConfiguration.txt fusion_method=[Linear Blending]""" +\ r""" regression_threshold=0.30 max/avg_displacement_threshold=2.50 absolute_displacement_threshold=3.50""" +\ r""" computation_parameters=[Save memory (but be slower)] image_output=[Write to disk] """ + \ r"""output_directory=[F:\\Research\\LINK\\US\\2018-08-17\\grid output]"); """ try: test = ij.script().run('macro.ijm', macro, True).get() except JavaException as e: print("e.classname -- {}".format(e.classname)) print("e.innermessage -- {}".format(e.innermessage)) for st in e.stacktrace: print(st) """saveAs("Tiff", "...");"""

140.709677

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0.274962

0.043426

0.101327

0.145657

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0.633896

0.554584

0.521411

0

0.038142

0.062357

4,362

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2,931

140.709677

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cc4421c368310b2403fc451a0a7fb66f05b55365

206

py

Python

django/blog/admin.py

liamnewmarch/liam.nwmr.ch

5fb3f232cdf75a50d50b139980dfaacf3aa20c51

[ "MIT" ]

null

django/blog/admin.py

liamnewmarch/liam.nwmr.ch

5fb3f232cdf75a50d50b139980dfaacf3aa20c51

[ "MIT" ]

14

2020-12-04T20:27:50.000Z

2022-02-10T09:25:19.000Z

django/blog/admin.py

liamnewmarch/liam.nwmr.ch

5fb3f232cdf75a50d50b139980dfaacf3aa20c51

[ "MIT" ]

null

from django.contrib import admin from . import models @admin.register(models.Post) class PostAdmin(admin.ModelAdmin): list_display = ('title', 'slug', 'visibility', 'published') sortable_by = ()

20.6

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cc45f37d76486b38b0513f9fe080100cd228ed3f

81

py

Python

3_Audio_Player/player.py

kmranrg/AudioPlayground

8ce9f5ecc8d55372395da69b85c423edd32059f0

[ "BSD-3-Clause" ]

null

3_Audio_Player/player.py

kmranrg/AudioPlayground

8ce9f5ecc8d55372395da69b85c423edd32059f0

[ "BSD-3-Clause" ]

null

3_Audio_Player/player.py

kmranrg/AudioPlayground

8ce9f5ecc8d55372395da69b85c423edd32059f0

[ "BSD-3-Clause" ]

null

# pip install playsound from playsound import playsound playsound('output.wav')

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cc53311118e54644f6b21a58405f376d6a16ae36

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py

Python

common/__init__.py

stpatrick2016/api-server-template-python

c3f13a07c32bf2e4c964072ace070aee5d510d73

[ "MIT" ]

null

common/__init__.py

stpatrick2016/api-server-template-python

c3f13a07c32bf2e4c964072ace070aee5d510d73

[ "MIT" ]

null

common/__init__.py

stpatrick2016/api-server-template-python

c3f13a07c32bf2e4c964072ace070aee5d510d73

[ "MIT" ]

null

__all__ = ["get_logger"] from .logger import get_logger

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cc6b1de9cd0cfb48f997cf92b694593c8ae3fccb

750,842

py

Python

pybandit/optproblems/cec2005/f22.py

chunjenpeng/pyBandit

df14bf0cc263d8fa0ad0a539e94327ac35e33d1c

[ "MIT" ]

1

2018-07-12T08:30:44.000Z

pybandit/optproblems/cec2005/f22.py

PENGChunJen/pyBandit

df14bf0cc263d8fa0ad0a539e94327ac35e33d1c

[ "MIT" ]

null

pybandit/optproblems/cec2005/f22.py

PENGChunJen/pyBandit

df14bf0cc263d8fa0ad0a539e94327ac35e33d1c

[ "MIT" ]

null

import numpy as np from optproblems.cec2005.f21 import F21 class F22(F21): """Rotated hybrid composition function F21 with high condition number matrix.""" matrices2D = np.array([[[0.5039408974861557, 5.783530116964769], [-2.4122450377986344, -7.840784197745668]], [[19.59089043010601, 0.5362916781782245], [-4.009897194601028, 0.911113538604415]], [[-20.368133637360355, 43.55179431310829], [-6.75524067936401, 11.989456518258153]], [[-1.9334224335937562, 0.22738086204625507], [-91.1947110013384, -40.99676647028668]], [[-45.76221832831943, 173.05414088128953], [-21.725626033874256, 86.52791960371087]], [[-657.7994818064127, 551.0666048539448], [-394.3324110050035, 328.8288131854362]], [[1969.6248600074907, -238.18837263258857], [250.72549448776428, -31.335864388565295]], [[-2004.7566646805185, 153.10231180937748], [2219.968163693489, -171.0343524705698]], [[414.6395045197829, 1229.7648975693273], [1211.776891668672, 3584.320039117001]], [[298.2279263486516, 4932.583805137509], [-44.97848206522227, -760.6937921345643]]]) matrices10D = np.array([[[0.49144806626908444, 2.28451745491, -2.8310759305101088, -1.605024264955154, -2.3570481008527242, 0.7550774061374208, 1.275719477354559, -1.9953097153826875, 2.1261483691843415, -1.2210841005434765], [-2.4664502547462956, -0.20106114695191721, -0.80013319521550241, 0.3248210282422514, 0.51922378787511114, 1.7909798457487238, -0.18319489820423807, -1.3139286746963477, 0.024857930739794143, -0.56765169968412343], [-0.87031171170397059, -1.4966377769243524, 2.0453499431132807, -1.3837448708265065, 1.8035029871899166, -0.81364940126571239, -1.4966769312207573, 0.66458822248186833, -1.6352898926838171, -1.0559029327362497], [-0.72896542978994161, -0.24137581022878246, -1.3244265782841507, 0.45764958188243693, -0.86534057625061012, -1.6955337950164819, -1.5316059472863133, 1.9265381547641731, -1.8336893764755264, 2.3114216671298884], [0.60486336516690575, 1.130518260381532, -0.87341944036140506, -0.36722641211885937, 1.0548910654216628, 0.13464581522421193, -1.6276966989604074, 0.15857951885340221, 1.7105181368245643, -1.8428230257800531], [0.12668518957096878, 1.7364254650072848, 1.9140527123363849, 0.70555037489892602, 3.1229567389715918, 0.45132501401352693, 1.9258735352144856, 0.59908018228273496, -2.3101589711172243, -1.4053235494873402], [-0.059752742674155646, -0.13250102454932478, 2.3595604343336611, 2.5609002758228576, 2.60496402302915, 0.13851913409981303, -0.80242523533013876, -1.878317835856073, -2.8367880349117276, -0.32988311344952342], [2.2393190712191928, 3.9960881825404622, -0.49598817766118281, -1.3574145266755402, 1.8025702723820762, 1.3956264832850271, 0.23640491327597279, -1.6719407737635996, 3.1561628989457033, -1.3731189239818982], [1.0182110012718975, -2.300698546026775, -1.4700522419233006, 0.91305533878160805, 1.8751232301753549, -1.7389417666717781, 0.65021542326760606, 1.7500721180657084, -2.8206107263262514, -1.9933723901834834], [-4.0662291638726522, 1.9953643493452398, 2.4692410188296638, 1.7265065901631378, 1.393606496115315, -2.8583271625469981, 0.89393788944470554, -2.8940505367766645, 2.5259705971204633, 1.4354392285821513]], [[-2.1984824122707023, -0.55737149009921005, 0.96597462098164844, -0.0059009240312430933, 0.17938956974205622, -8.3790189435703226, 0.97359969947708835, 2.1265609514540134, -0.95337936415497282, -4.2786370410996861], [-2.4783274246798945, 1.6777800313497477, 4.1926500663196489, -0.52833208249047048, -4.9186999971331522, 3.9967536731651903, -1.1099430301727469, 4.7757554458549363, 2.0189288509176397, 4.7062916392410896], [1.3713644885783631, -6.3599863735801918, -4.5837185323735472, 3.1190350279403836, -3.6646118112774042, -5.3157622607642079, 0.28974766104303357, -0.57878330457066296, -6.1453500687382263, -3.234547480410674], [2.2272585112835288, 4.2942068782713907, -1.7879193450737927, -2.3061281018897626, 6.3171446296028622, -2.1282415982935481, -0.53882785393851285, 0.037263637812820272, 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cc6cb1e3ed6b5bca2ebe4c2aa8e0acc557af3ec6

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Python

dynamicoptions/__init__.py

gcms/dynamicoptionsplugin

df72e03ffd0ad5a5fbc84f79203831bc9a9e7a45

[ "BSD-3-Clause" ]

null

dynamicoptions/__init__.py

gcms/dynamicoptionsplugin

df72e03ffd0ad5a5fbc84f79203831bc9a9e7a45

[ "BSD-3-Clause" ]

null

dynamicoptions/__init__.py

gcms/dynamicoptionsplugin

df72e03ffd0ad5a5fbc84f79203831bc9a9e7a45

[ "BSD-3-Clause" ]

null

# from dynamicoptions import * inject_dynamic_options()

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1

0

null

0

1

0

1

0

4

cc78a9c1f372c37fdc9d88eb4d0eb4bc07eb7716

140

py

Python

tests/gromacs_ti.py

MD-Studio/lie_ti

0b3ae93cd9a8b46a6caa40c4f0bed3cb5c6d2b2b

[ "Apache-2.0" ]

null

tests/gromacs_ti.py

MD-Studio/lie_ti

0b3ae93cd9a8b46a6caa40c4f0bed3cb5c6d2b2b

[ "Apache-2.0" ]

null

tests/gromacs_ti.py

MD-Studio/lie_ti

0b3ae93cd9a8b46a6caa40c4f0bed3cb5c6d2b2b

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """ file: gromacs_ti.py Functions for setting up a Gromacs based Thermodynamic Integration (TI) calculation. """

14

71

0.692857

18

140

5.333333

0.888889

0

0.008547

0.164286

140

9

72

15.555556

0.811966

0.914286

0

null

0

null

0

null

0

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1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

cc8ba376688d92cb3eb1c8926da762c475bab98f

253

py

Python

pungi/environment/__init__.py

DiscoverAI/pungi

72390326f76f14ccfeb81c79323a8bbd4482ce1d

[ "MIT" ]

null

pungi/environment/__init__.py

DiscoverAI/pungi

72390326f76f14ccfeb81c79323a8bbd4482ce1d

[ "MIT" ]

6

2019-03-12T16:11:15.000Z

2020-09-25T22:52:51.000Z

pungi/environment/__init__.py

DiscoverAI/pungi

72390326f76f14ccfeb81c79323a8bbd4482ce1d

[ "MIT" ]

null

from gym.envs.registration import register register( id='snake-v1', entry_point='pungi.environment.environment:SnakeEnv', ) register( id='snake-partial-info-v1', entry_point='pungi.environment.environment:PartialInformationSnakeEnv' )

21.083333

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253

6.785714

0.607143

0.105263

0.157895

0.178947

0.410526

0

0.008969

0.118577

253

11

75

23

0.843049

0

0.222222

0

0.486166

0.454545

0

1

0

true

0

0.111111

0

0.111111

0

1

0

null

0

1

0

1

null

0

1

0

4

ccd42320f73a1fb40b96d271d3acbbf7e7ba392e

243

py

Python

moai/data/augmentation/albumentations/augmentations/__init__.py

tzole1155/moai

d1afb3aaf8ddcd7a1c98b84d6365afb846ae3180

[ "Apache-2.0" ]

10

2021-04-02T11:21:33.000Z

2022-01-18T18:32:32.000Z

moai/data/augmentation/albumentations/augmentations/__init__.py

tzole1155/moai

d1afb3aaf8ddcd7a1c98b84d6365afb846ae3180

[ "Apache-2.0" ]

1

2022-03-22T20:10:55.000Z

2022-03-24T13:11:02.000Z

moai/data/augmentation/albumentations/augmentations/__init__.py

tzole1155/moai

d1afb3aaf8ddcd7a1c98b84d6365afb846ae3180

[ "Apache-2.0" ]

3

2021-05-16T20:47:40.000Z

2021-12-01T21:15:36.000Z

from moai.data.augmentation.albumentations.augmentations.random_gamma import RandomGamma from moai.data.augmentation.albumentations.augmentations.random_sized_crop import RandomSizedCrop __all__ = [ "RandomGamma", "RandomSizedCrop", ]

34.714286

97

0.831276

24

243

8.125

0.583333

0.082051

0.123077

0.246154

0.584615

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0.090535

243

7

98

34.714286

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0.106557

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0

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0.333333

0

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null

0

1

0

1

0

null

0

1

0

4

aee47391e48a645787887467b989cad8a2ee3625

125

py

Python

tasks/task_hello.py

Junzki/Essen

ef735a9229a3de3e07a7cf998b51c66809293dad

[ "BSD-3-Clause" ]

null

tasks/task_hello.py

Junzki/Essen

ef735a9229a3de3e07a7cf998b51c66809293dad

[ "BSD-3-Clause" ]

null

tasks/task_hello.py

Junzki/Essen

ef735a9229a3de3e07a7cf998b51c66809293dad

[ "BSD-3-Clause" ]

null

# -*- coding:utf-8 -*- """ Task for sample. """ from essen.app import celery @celery.task def hello(): print('Aloha!')

12.5

28

0.6

17

125

4.411765

0.882353

0

0.009804

0.184

125

9

29

13.888889

0.72549

0.304

0

0.075949

0

1

0.25

true

0

0.25

0

0.5

0.25

1

0

null

0

1

0

null

0

1

0

4

aee82fcc48b3a701fadd6d9aa1db01c350b5e8ff

51

py

Python

heuslertools/plotting/__init__.py

LukeSkywalker92/heuslertools

58108511eec4a027f7d42888e66b50b2dc8d7612

[ "MIT" ]

null

heuslertools/plotting/__init__.py

LukeSkywalker92/heuslertools

58108511eec4a027f7d42888e66b50b2dc8d7612

[ "MIT" ]

null

heuslertools/plotting/__init__.py

LukeSkywalker92/heuslertools

58108511eec4a027f7d42888e66b50b2dc8d7612

[ "MIT" ]

null

""" Usefull tools for plotting with matplotlib """

12.75

42

0.72549

6

51

6.166667

1

0

0.156863

51

3

43

17

0.860465

0.823529

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

aeed44da6232bfc92db936468e22cb9a149bdbe3

96

py

Python

spekulatio/exceptions.py

iwilltry42/spekulatio

42d678b7d7fcc13284902be5a08fb0407d96ec4d

[ "MIT" ]

10

2019-03-19T23:05:04.000Z

2022-01-19T14:08:06.000Z

spekulatio/exceptions.py

iwilltry42/spekulatio

42d678b7d7fcc13284902be5a08fb0407d96ec4d

[ "MIT" ]

6

2019-03-23T08:38:44.000Z

2020-11-24T20:50:14.000Z

spekulatio/exceptions.py

iwilltry42/spekulatio

42d678b7d7fcc13284902be5a08fb0407d96ec4d

[ "MIT" ]

1

2019-09-26T12:21:36.000Z

class SpekulatioError(Exception): pass class FrontmatterError(SpekulatioError): pass

12

40

0.760417

8

96

9.125

0.625

0

0.177083

96

7

41

13.714286

0.924051

0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

aef10c08fdb9dc0af84f018ae834f42a03db75f0

104

py

Python

apps/audit/admin.py

karpiq24/django-klima-kar

e62e79c66053749e249f55e1ab47f810f449f0aa

[ "MIT" ]

2

2018-01-23T22:38:57.000Z

2019-07-14T08:59:19.000Z

apps/audit/admin.py

karpiq24/django-klima-kar

e62e79c66053749e249f55e1ab47f810f449f0aa

[ "MIT" ]

237

2018-08-15T23:13:52.000Z

2022-01-13T13:08:50.000Z

apps/audit/admin.py

karpiq24/django-klima-kar

e62e79c66053749e249f55e1ab47f810f449f0aa

[ "MIT" ]

null

from django.contrib import admin from apps.audit.models import AuditLog admin.site.register(AuditLog)

17.333333

38

0.826923

15

104

5.733333

0.733333

0

0.105769

104

5

39

20.8

0.924731

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

4e01b4551b0c8f73ce9f34da046980e0376de97e

28

py

Python

data/studio21_generated/introductory/3300/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/introductory/3300/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/introductory/3300/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

def replace_letters(word):

14

26

0.785714

4

28

5.25

1

0

0.107143

28

2

27

14

0.84

0

null

0

null

0

1

0

null

0

1

0

null

0

1

0

4

4e09e0311b8d3afd6a04495f3b13b27b716e25c9

94

py

Python

biosphere-py/biosphere/__init__.py

mlondschien/biosphere

2348b806f59829c5c051b227f502de8b3407b246

[ "BSD-3-Clause" ]

2

2021-12-30T12:24:13.000Z

2022-02-14T15:37:25.000Z

biosphere-py/biosphere/__init__.py

mlondschien/biosphere

2348b806f59829c5c051b227f502de8b3407b246

[ "BSD-3-Clause" ]

14

2021-12-30T11:13:20.000Z

2022-03-14T16:33:37.000Z

biosphere-py/biosphere/__init__.py

mlondschien/biosphere

2348b806f59829c5c051b227f502de8b3407b246

[ "BSD-3-Clause" ]

null

from .biosphere import DecisionTree, RandomForest __all__ = ["DecisionTree", "RandomForest"]

23.5

49

0.787234

8

94

8.75

0.75

0.685714

0

0.106383

94

3

50

31.333333

0.833333

0

0.255319

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

4e1219a232f466d2db77350e72f857f676a04565

112

py

Python

ore/discourse_discuss/apps.py

lukegb/Ore-python

1d1c73795406fa52ae969726feb89f7aedbc4afc

[ "MIT" ]

1

2016-05-24T14:49:42.000Z

ore/discourse_discuss/apps.py

gratimax/ore-old

1d1c73795406fa52ae969726feb89f7aedbc4afc

[ "MIT" ]

null

ore/discourse_discuss/apps.py

gratimax/ore-old

1d1c73795406fa52ae969726feb89f7aedbc4afc

[ "MIT" ]

null

from django.apps import AppConfig class DiscourseDiscussConfig(AppConfig): name = 'ore.discourse_discuss'

18.666667

40

0.794643

12

112

7.333333

0.916667

0

0.133929

112

5

41

22.4

0.907216

0

0.1875

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

4e2c5f7ba541fc140b98e5f6e61c3de60a50fd0b

670

py

Python

rejected_peps/pep754.py

wyz23x2/rejected-peps

2000797a7ea9dea58e60b2d83267a7fbb57c0ca4

[ "MIT" ]

1

2021-08-08T10:48:53.000Z

rejected_peps/pep754.py

wyz23x2/rejected-peps

2000797a7ea9dea58e60b2d83267a7fbb57c0ca4

[ "MIT" ]

null

rejected_peps/pep754.py

wyz23x2/rejected-peps

2000797a7ea9dea58e60b2d83267a7fbb57c0ca4

[ "MIT" ]

null

"""\ PEP INFO PEP 754 -- IEEE 754 Floating Point Special Values Status: Rejected Created: 2003-03-28 MODULE INFO This module implements NaN, PosInf, NegInf and the functions in PEP 754. REFERENCES PEP 754: <https://www.python.org/dev/peps/pep-0754/> """ PEP = 754 import math as _math NaN = float('nan') PosInf = float('inf') NegInf = -PosInf def isNaN(value) -> bool: return _math.isnan(value) def isPosInf(value) -> bool: return _math.isinf(value) and value > 0 def isNegInf(value) -> bool: return _math.isinf(value) and value < 0 def isFinite(value) -> bool: return _math.isfinite(value) def isInf(value) -> bool: return _math.isinf(value)

20.30303

61

0.701493

101

670

4.594059

0.465347

0.096983

0.161638

0.204741

0.239224

0.176724

0

0.052347

0.173134

670

32

62

20.9375

0.785199

0.373134

0

0.014599

0

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0.333333

false

0

0.066667

0.333333

0.733333

0

null

0

1

0

null

0

1

0

1

0

4

9ddfe9a2d02d19694eeec407e1feddf14d438bd3

1,007

py

Python

src/sprites/characters/behaviours/master/MasterStillState.py

NEKERAFA/Soul-Tower

d37c0bf6bcbf253ec5b2c41f802adeeca31fb384

[ "MIT" ]

null

src/sprites/characters/behaviours/master/MasterStillState.py

NEKERAFA/Soul-Tower

d37c0bf6bcbf253ec5b2c41f802adeeca31fb384

[ "MIT" ]

null

src/sprites/characters/behaviours/master/MasterStillState.py

NEKERAFA/Soul-Tower

d37c0bf6bcbf253ec5b2c41f802adeeca31fb384

[ "MIT" ]

null

# -*- coding: utf-8 -*- import random from src.sprites.characters.behaviours.MasterBehaviourState import * # from src.sprites.characters.behaviours.death.MasterFollowPlayerState import * from src.sprites.Character import * from src.sprites.MySprite import * from src.sprites.EnemyRange import * # ------------------------------------------------------------------------------ # Clase MasterStillState class MasterStillState(MasterBehaviourState): def __init__(self): MasterBehaviourState.__init__(self) # self.starting = True def move_ai(self, enemy, player): pass def update(self, enemy, time, mapRect, mapMask): # if self.starting: # print("setting frame 4") # enemy.set_initial_frame(4) # self.starting = False # Se actualiza la animación del personaje Character.update_animation(enemy, time) MySprite.update(enemy, time) def receive_damage(self, enemy, attack, damage, force): pass

32.483871

80

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102

1,007

6.117647

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0.05609

0.112179

0.128205

0.108974

0

0.003741

0.203575

1,007

31

81

32.483871

0.774314

0.363456

0

0.133333

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false

0.133333

0.333333

0

0.666667

0

null

0

null

0

1

0

1

0

1

0

4

9debb877735fcb8fccac01c4dd9fa377a181fc79

215

py

Python

artblog/apps/gallery/views.py

Kalenai/artblog-project

60bde90c99fb68910cbbfbc26b761638b9babf31

[ "MIT" ]

null

artblog/apps/gallery/views.py

Kalenai/artblog-project

60bde90c99fb68910cbbfbc26b761638b9babf31

[ "MIT" ]

null

artblog/apps/gallery/views.py

Kalenai/artblog-project

60bde90c99fb68910cbbfbc26b761638b9babf31

[ "MIT" ]

null

from django.views.generic import ListView from . import models class GalleryIndex(ListView): queryset = models.ImageEntry.objects.visible() paginate_by = 6 template_name = 'gallery/gallery-index.html'

23.888889

50

0.75814

26

215

6.192308

0.807692

0

0.005495

0.153488

215

8

51

26.875

0.879121

0

0.121495

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

9df35e6f6bf0867e8aa4546e03031c96a07ba057

91

py

Python

src/wshop/apps/dashboard/vouchers/__init__.py

vituocgia/wshop-core

5f6d1ec9e9158f13aab136c5bd901c41e69a1dba

[ "BSD-3-Clause" ]

null

src/wshop/apps/dashboard/vouchers/__init__.py

vituocgia/wshop-core

5f6d1ec9e9158f13aab136c5bd901c41e69a1dba

[ "BSD-3-Clause" ]

null

src/wshop/apps/dashboard/vouchers/__init__.py

vituocgia/wshop-core

5f6d1ec9e9158f13aab136c5bd901c41e69a1dba

[ "BSD-3-Clause" ]

null

default_app_config = ( 'wshop.apps.dashboard.vouchers.config.VouchersDashboardConfig')

30.333333

67

0.802198

9

91

7.888889

0.888889

0

0.087912

91

2

68

45.5

0.855422

0

0.659341

0

1

0

false

0

1

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0

1

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null

0

4