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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
97ab609f42be4555cf25340da063fdd975e6e25a | 293 | py | Python | BITs/2014/Gasanov_A_F/task_1_9.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | BITs/2014/Gasanov_A_F/task_1_9.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | BITs/2014/Gasanov_A_F/task_1_9.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | #Задача №1 Вариант 9
#Программа пишет род деятельности и псевдоним данного персонажа
#Гасанов АФ
#29.02.2016
print("Борис Николаевич Бугаев - русский писатель, поэт, критик, мемуарист, стиховед; один из ведущих деятелей русского символизма и модернизма в целом.")
input("Enter для выхода")
| 29.3 | 154 | 0.784983 |
e7344d020747a47a28c6ab9bd63fd1a144f22c64 | 1,523 | py | Python | hplc_area_reformat.py | furubayashim/hplc-analysis-hitachi | d8f2b594b577032548e860b424f55241bbe72b37 | [
"MIT"
] | null | null | null | hplc_area_reformat.py | furubayashim/hplc-analysis-hitachi | d8f2b594b577032548e860b424f55241bbe72b37 | [
"MIT"
] | null | null | null | hplc_area_reformat.py | furubayashim/hplc-analysis-hitachi | d8f2b594b577032548e860b424f55241bbe72b37 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# Hitachi HPLC Chromaster
# script to reformat the area table inside "REPRC0001.xls"
# put the exported data (REPRC0001.XLS) into "data" directory
# prepare "peak.xls" where you assign the peak RT and molecule name
import pandas as pd
import numpy as np
import glob
import os
import matplotlib.py... | 28.203704 | 111 | 0.680893 |
d894d42ed02f26552970827871fbee2e0edc8d0c | 768 | py | Python | ProjectEuler_plus/euler_022.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | ProjectEuler_plus/euler_022.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | ProjectEuler_plus/euler_022.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import sys
from collections import OrderedDict
def get_name_worth(d, aa):
worth = 0
for i in range(len(aa)):
worth += d[aa[i]]
return worth
position_dict = {'A': 1, 'B': 2, 'C': 3, 'D': 4, 'E': 5, 'F': 6, 'G': 7, 'H': 8, 'I': 9, 'J': 10, 'K': 11, 'L': 12, 'M': 13, 'N': 14, ... | 25.6 | 241 | 0.515625 |
2b1dcbd071c4374760300f5b267a1288f9635295 | 5,069 | py | Python | src/model_1.py | Inquisitor-16/Covid19-Detection-from-CXR-images | a3307db0ef9dab011f74adf738c1c0a89df63124 | [
"Apache-2.0"
] | null | null | null | src/model_1.py | Inquisitor-16/Covid19-Detection-from-CXR-images | a3307db0ef9dab011f74adf738c1c0a89df63124 | [
"Apache-2.0"
] | null | null | null | src/model_1.py | Inquisitor-16/Covid19-Detection-from-CXR-images | a3307db0ef9dab011f74adf738c1c0a89df63124 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""CXR_model1_cnf_1000+600 -> 150 epochs.ipynb
Automatically generated by Colaboratory.
"""
#from google.colab import drive
#drive.mount('/content/drive')
# Commented out IPython magic to ensure Python compatibility.
#from tensorflow.keras.optimizers import Adam
from keras import backend as ... | 26.264249 | 101 | 0.73841 |
2b2ef7ec78748919a330129dff6235a21730885c | 5,339 | py | Python | src/evaluate_bias_in_nlg/qualitative_eval.py | krangelie/bias-in-german-nlg | 9fbaf50fde7d41d64692ae90c41beae61bc78d44 | [
"MIT"
] | 14 | 2021-08-24T12:36:37.000Z | 2022-03-18T12:14:36.000Z | src/evaluate_bias_in_nlg/qualitative_eval.py | krangelie/bias-in-german-nlg | 9fbaf50fde7d41d64692ae90c41beae61bc78d44 | [
"MIT"
] | null | null | null | src/evaluate_bias_in_nlg/qualitative_eval.py | krangelie/bias-in-german-nlg | 9fbaf50fde7d41d64692ae90c41beae61bc78d44 | [
"MIT"
] | 1 | 2021-10-21T20:22:55.000Z | 2021-10-21T20:22:55.000Z | import os
import json
from pprint import pprint
import hydra.utils
import src.constants as constants
import src.bias_lexica as bias_lexica
from src.evaluate_bias_in_nlg.bias_eval_helpers import (
has_context,
single_file_to_dict,
mult_files_to_dict,
)
bias_lexica = [
bias_lexica.sexualization,
... | 38.135714 | 94 | 0.61416 |
9953c48df36791130e1c600f90ff8078dec3ef34 | 609 | py | Python | chillow/service/ai/__init__.py | jonashellmann/informaticup21-team-chillow | f2e519af0a5d9a9368d62556703cfb1066ebb58f | [
"MIT"
] | 3 | 2021-01-17T23:32:07.000Z | 2022-01-30T14:49:16.000Z | chillow/service/ai/__init__.py | jonashellmann/informaticup21-team-chillow | f2e519af0a5d9a9368d62556703cfb1066ebb58f | [
"MIT"
] | 2 | 2021-01-17T13:37:56.000Z | 2021-04-14T12:28:49.000Z | chillow/service/ai/__init__.py | jonashellmann/informaticup21-team-chillow | f2e519af0a5d9a9368d62556703cfb1066ebb58f | [
"MIT"
] | 2 | 2021-04-02T14:53:38.000Z | 2021-04-20T11:10:17.000Z | from chillow.service.ai.not_killing_itself_ai import NotKillingItselfAI, AIOptions
from chillow.service.ai.pathfinding_ai import PathfindingAI
from chillow.service.ai.pathfinding_search_tree_ai import PathfindingSearchTreeAI
from chillow.service.ai.random_ai import RandomAI, RandomWaitingAI
from chillow.service.ai.sear... | 60.9 | 101 | 0.845649 |
510bccef6c920e412b8b8ee45a862bc2db9729d7 | 145 | py | Python | python/python_backup/PRAC_PYTHON/yi.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python/python_backup/PRAC_PYTHON/yi.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python/python_backup/PRAC_PYTHON/yi.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | for i in range(1,7,1):
for j in range(1,i+1,1):
print j,
for j in range(i-2,0,-1):
print j,
print"" | 24.166667 | 32 | 0.42069 |
5ad7e711c0df239eb355e0f51a719188e019dd32 | 9,611 | py | Python | FeatureEngineering/extractGlyphes.py | alex-ta/Fontinator | 7ca9effe3b61ded032176557520127e1d4b7a5ef | [
"Apache-2.0"
] | 6 | 2017-04-12T14:05:19.000Z | 2021-01-29T11:23:50.000Z | FeatureEngineering/extractGlyphes.py | alex-ta/Fontinator | 7ca9effe3b61ded032176557520127e1d4b7a5ef | [
"Apache-2.0"
] | null | null | null | FeatureEngineering/extractGlyphes.py | alex-ta/Fontinator | 7ca9effe3b61ded032176557520127e1d4b7a5ef | [
"Apache-2.0"
] | null | null | null | import cv2
#import os.path
#import os
import numpy as np
import math
def extract_glyphs(image):
# Save copy of original image
originalImage = np.copy(image)
# To graryscale and binarisize
imgray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
# Contour dtection works better with white letters on black b... | 37.838583 | 140 | 0.640308 |
850e073670e08b26e6770cedf5bd791ee2f7f009 | 94 | py | Python | apps/login/apps.py | AlcindoSchleder/dashboard | aacb847bee05368bff72853a7d1887de211bccd2 | [
"MIT"
] | null | null | null | apps/login/apps.py | AlcindoSchleder/dashboard | aacb847bee05368bff72853a7d1887de211bccd2 | [
"MIT"
] | 4 | 2020-09-21T01:32:14.000Z | 2020-09-21T01:32:47.000Z | apps/login/apps.py | AlcindoSchleder/dashboard | aacb847bee05368bff72853a7d1887de211bccd2 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class ActivesConfig(AppConfig):
name = 'actives'
| 15.666667 | 34 | 0.712766 |
cfef6f9304feef73d91ef507eb6f1a7edd9e9d4d | 1,932 | py | Python | python_experiments/paper_figures/legacy/experimental_config.py | RapidsAtHKUST/SimRank | 3a601b08f9a3c281e2b36b914e06aba3a3a36118 | [
"MIT"
] | 8 | 2020-04-14T23:17:00.000Z | 2021-06-21T12:34:04.000Z | python_experiments/paper_figures/legacy/experimental_config.py | RapidsAtHKUST/SimRank | 3a601b08f9a3c281e2b36b914e06aba3a3a36118 | [
"MIT"
] | null | null | null | python_experiments/paper_figures/legacy/experimental_config.py | RapidsAtHKUST/SimRank | 3a601b08f9a3c281e2b36b914e06aba3a3a36118 | [
"MIT"
] | 1 | 2021-01-17T16:26:50.000Z | 2021-01-17T16:26:50.000Z | datasets = [
"ca-GrQc",
"ca-HepTh",
"p2p-Gnutella06",
"wiki-Vote",
"email-Enron",
"email-EuAll",
"web-NotreDame",
"web-Stanford",
"web-BerkStan",
"web-Google",
"cit-Patents",
"soc-LiveJournal1",
]
size_g = {
"ca-GrQc": (5242, 14496),
"p2p-Gnutella06": (8717, 31525... | 26.108108 | 91 | 0.594203 |
7a4b6d01d652646096b7ddfdd54798ab3af48055 | 5,400 | py | Python | Fortgeschrittenenpraktikum/Protokolle/V18_Germaniumdetektor/Python/unbekannt1.py | smjhnits/Praktikum | 92c9df3ee7dfa2417f464036d18ac33b70765fdd | [
"MIT"
] | 2 | 2019-03-07T08:55:36.000Z | 2019-04-22T18:13:03.000Z | Fortgeschrittenenpraktikum/Protokolle/V18_Germaniumdetektor/Python/unbekannt1.py | smjhnits/Praktikum | 92c9df3ee7dfa2417f464036d18ac33b70765fdd | [
"MIT"
] | null | null | null | Fortgeschrittenenpraktikum/Protokolle/V18_Germaniumdetektor/Python/unbekannt1.py | smjhnits/Praktikum | 92c9df3ee7dfa2417f464036d18ac33b70765fdd | [
"MIT"
] | 2 | 2017-10-27T13:26:43.000Z | 2018-01-13T09:12:24.000Z | import numpy as np
import matplotlib.pyplot as plt
import uncertainties
from scipy.signal import find_peaks
from scipy.optimize import curve_fit
import scipy.constants as sc
import scipy.integrate as integrate
from uncertainties import ufloat
from uncertainties import unumpy as unp
from uncertainties.unumpy import nomi... | 39.416058 | 143 | 0.703519 |
a46af0a22eb267cd4c96e08052b4e2ba8c0fcd9a | 1,796 | py | Python | src/onegov/town6/views/form_registration_window.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/town6/views/form_registration_window.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/town6/views/form_registration_window.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.core.security import Private
from onegov.form import FormDefinition
from onegov.form import FormRegistrationWindow
from onegov.org.forms.form_registration import FormRegistrationMessageForm
from onegov.org.views.form_registration_window import \
handle_new_registration_form, view_registration_window, \
... | 33.259259 | 74 | 0.789532 |
745e40e5369126fc64c461635830285f5dbf2665 | 1,575 | py | Python | data_preprocessing/train_test_split.py | florianfricke/Bachelor_Thesis_Sentiment_Analyse | aa1fa95cfbc13115ee60baaf79eab0d1940998ab | [
"MIT"
] | 1 | 2020-06-04T13:20:45.000Z | 2020-06-04T13:20:45.000Z | data_preprocessing/train_test_split.py | florianfricke/Bachelor_Thesis_Sentiment_Analyse | aa1fa95cfbc13115ee60baaf79eab0d1940998ab | [
"MIT"
] | 6 | 2020-06-03T18:45:11.000Z | 2022-02-10T01:51:03.000Z | data_preprocessing/train_test_split.py | florianfricke/Bachelor_Thesis_Sentiment_Analyse | aa1fa95cfbc13115ee60baaf79eab0d1940998ab | [
"MIT"
] | null | null | null | """
Created by Florian Fricke.
"""
import pickle
from sklearn.model_selection import train_test_split
from utilities.utilities import save_data
class TrainTestSplit:
def __init__(self, save_data_path, preprocess_typ, **kwargs):
self.X = pickle.load(open("{}X_clean_data_{}.pickle".format(save_data_path, pr... | 45 | 107 | 0.580317 |
7464bff9cf7b4a4a4386c522253d6f64b72cb8e4 | 413 | py | Python | Implementierung/ResearchEnvironment/authentification/urls.py | Sashks/PSE | ae2d8133a85563c33583f15b9ba76a3a2bf0c762 | [
"MIT"
] | null | null | null | Implementierung/ResearchEnvironment/authentification/urls.py | Sashks/PSE | ae2d8133a85563c33583f15b9ba76a3a2bf0c762 | [
"MIT"
] | null | null | null | Implementierung/ResearchEnvironment/authentification/urls.py | Sashks/PSE | ae2d8133a85563c33583f15b9ba76a3a2bf0c762 | [
"MIT"
] | null | null | null | from django.conf.urls import url
from . import views
from django.contrib.auth import views as auth_views
app_name = 'authentification'
urlpatterns = [
url(r'^register/$', views.UserFormView.as_view(), name = 'register'),
url(r'^login/$', auth_views.login,{'template_name':'registration/login.html'}, name = '... | 51.625 | 105 | 0.680387 |
24a8c255373a5fcf974295a851e3a3eb8ef3fba9 | 1,433 | py | Python | research/nlp/atae_lstm/src/atae_for_test.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/nlp/atae_lstm/src/atae_for_test.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/nlp/atae_lstm/src/atae_for_test.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 32.568182 | 78 | 0.64201 |
7002c715f1f3954868f7bcca2eca5391e46b3500 | 10,801 | py | Python | hmtoinflux/stateSeriesHelper.py | debauer/HomematicToInflux | 233a837f0da031f331d771f0e6f7b55f488cd747 | [
"MIT"
] | null | null | null | hmtoinflux/stateSeriesHelper.py | debauer/HomematicToInflux | 233a837f0da031f331d771f0e6f7b55f488cd747 | [
"MIT"
] | null | null | null | hmtoinflux/stateSeriesHelper.py | debauer/HomematicToInflux | 233a837f0da031f331d771f0e6f7b55f488cd747 | [
"MIT"
] | null | null | null | from influxdb import SeriesHelper
from hm.deviceType import DeviceType
from . import InfluxClient, config
class STHStateSeriesHelper(SeriesHelper):
class Meta:
client = InfluxClient
# The series name must be a string. Add dependent fields/tags
# in curly brackets.
series_name = 's... | 27.909561 | 69 | 0.52597 |
700cb6932000732b65fb26f9d586edb4fb49c1f2 | 1,962 | py | Python | project/api/recycling_event/resources.py | DanielGrams/cityservice | c487c34b5ba6541dcb441fe903ab2012c2256893 | [
"MIT"
] | null | null | null | project/api/recycling_event/resources.py | DanielGrams/cityservice | c487c34b5ba6541dcb441fe903ab2012c2256893 | [
"MIT"
] | 35 | 2022-01-24T22:15:59.000Z | 2022-03-31T15:01:35.000Z | project/api/recycling_event/resources.py | DanielGrams/cityservice | c487c34b5ba6541dcb441fe903ab2012c2256893 | [
"MIT"
] | null | null | null | import flask
from flask_apispec import doc, marshal_with
from sqlalchemy import and_
from project.api import add_api_resource
from project.api.recycling_event.schemas import LegacyRecyclingEventSchema
from project.api.resources import BaseResource
from project.dateutils import get_today
from project.models import Recy... | 34.421053 | 98 | 0.627421 |
3b58474b040783c468bd67b79c7e3802b5524ac9 | 169 | py | Python | src/server/app/repository/CustomException.py | MatthiasRiener/DigiPen | 9b4aff4a1c431e06d73733dc3dd3f3f3d4631704 | [
"MIT"
] | 6 | 2020-12-15T18:57:53.000Z | 2022-02-06T18:54:35.000Z | src/server/app/repository/CustomException.py | MatthiasRiener/DigiPen | 9b4aff4a1c431e06d73733dc3dd3f3f3d4631704 | [
"MIT"
] | 186 | 2020-11-17T10:18:17.000Z | 2022-03-02T07:19:22.000Z | src/server/app/repository/CustomException.py | MatthiasRiener/DigiPen | 9b4aff4a1c431e06d73733dc3dd3f3f3d4631704 | [
"MIT"
] | 1 | 2020-12-14T19:37:30.000Z | 2020-12-14T19:37:30.000Z |
class CustomException():
def __init__(self, message):
self.message = message
def __str__(self):
print(self.message)
return self.message | 21.125 | 32 | 0.633136 |
d9250f73efc23c7532a2123d149bbfc7cd15f23c | 1,312 | py | Python | exercises/es/test_03_15.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/es/test_03_15.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/es/test_03_15.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | def test():
assert Doc.has_extension(
"author"
), "¿Añadiste la extensión de autor en el Doc?"
ext = Doc.get_extension("author")
assert all(
v is None for v in ext
), "¿Asignaste el valor por defecto a la extensión de autor?"
assert Doc.has_extension("book"), "¿Añadiste la extens... | 42.322581 | 100 | 0.650152 |
79674a9212a839fd181fc721f84c3b6777e467b6 | 6,988 | py | Python | zhi/twopc.py | Rustem/ZLU | 9e050bdbc317f6fbddb4eed64d9ebdec995a9add | [
"MIT"
] | 1 | 2017-08-26T14:47:48.000Z | 2017-08-26T14:47:48.000Z | zhi/twopc.py | Rustem/ZLU | 9e050bdbc317f6fbddb4eed64d9ebdec995a9add | [
"MIT"
] | null | null | null | zhi/twopc.py | Rustem/ZLU | 9e050bdbc317f6fbddb4eed64d9ebdec995a9add | [
"MIT"
] | null | null | null | from kazoo.retry import (
KazooRetry,
RetryFailedError,
ForceRetryError
)
from kazoo.client import KazooClient
import json
import functools
import logging
logging.basicConfig()
class TwoPCState(object):
BEGIN = 'begin'
PREPARE = 'prep'
COMMIT = 'commit'
ACK_COMMIT = 'ack_commit'
ABOR... | 32.055046 | 110 | 0.584717 |
8de9e1fecb8baa4994a86b58049bc89111627289 | 4,273 | py | Python | Dockerfiles/gedlab-khmer-filter-abund/pymodules/python2.7/lib/python/screed-0.7.1-py2.7.egg/screed/tests/test_fasta.py | poojavade/Genomics_Docker | 829b5094bba18bbe03ae97daf925fee40a8476e8 | [
"Apache-2.0"
] | 1 | 2019-07-29T02:53:51.000Z | 2019-07-29T02:53:51.000Z | Dockerfiles/gedlab-khmer-filter-abund/pymodules/python2.7/lib/python/screed-0.7.1-py2.7.egg/screed/tests/test_fasta.py | poojavade/Genomics_Docker | 829b5094bba18bbe03ae97daf925fee40a8476e8 | [
"Apache-2.0"
] | 1 | 2021-09-11T14:30:32.000Z | 2021-09-11T14:30:32.000Z | Dockerfiles/gedlab-khmer-filter-abund/pymodules/python2.7/lib/python/screed-0.7.1-py2.7.egg/screed/tests/test_fasta.py | poojavade/Genomics_Docker | 829b5094bba18bbe03ae97daf925fee40a8476e8 | [
"Apache-2.0"
] | 2 | 2016-12-19T02:27:46.000Z | 2019-07-29T02:53:54.000Z | import screed
from screed.DBConstants import fileExtension
import os
from cStringIO import StringIO
def test_new_record():
# test for a bug where the record dict was not reset after each
# sequence load, leading to all records being identical if you
# kept a handle on the returned dictionary.
s = ... | 31.419118 | 73 | 0.589984 |
ba46697807e61440a955ec35cf5126af3f7d5532 | 10,123 | py | Python | Scripts/buildReadMes.py | HuttonICS/API | 22d61759a77f2ab3c4e610bb251684c78f71d2e6 | [
"MIT"
] | 40 | 2016-09-13T12:54:11.000Z | 2021-09-05T18:45:38.000Z | Scripts/buildReadMes.py | HuttonICS/API | 22d61759a77f2ab3c4e610bb251684c78f71d2e6 | [
"MIT"
] | 351 | 2016-08-10T17:58:38.000Z | 2021-09-15T12:19:48.000Z | Scripts/buildReadMes.py | HuttonICS/API | 22d61759a77f2ab3c4e610bb251684c78f71d2e6 | [
"MIT"
] | 32 | 2016-09-09T16:04:01.000Z | 2021-01-21T13:27:40.000Z | #! /usr/bin/env python
import yaml
import glob
import sys
import json
import dereferenceAll
import re
def buildStringExample(fieldName, strSchema):
strExample = ''
if('enum' in strSchema):
strExample = strSchema['enum']
elif('format' in strSchema):
if 'date' == strSchema['format']:
strExample = '2018-01-01'... | 32.341853 | 105 | 0.646646 |
ba75d5f70cf5c683a1aad5545f768d981e99d1e7 | 1,683 | py | Python | 1609-even-odd-tree/1609-even-odd-tree.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | 2 | 2021-12-05T14:29:06.000Z | 2022-01-01T05:46:13.000Z | 1609-even-odd-tree/1609-even-odd-tree.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | 1609-even-odd-tree/1609-even-odd-tree.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def isEvenOddTree(self, root: Optional[TreeNode]) -> bool:
stack=[(root, 0)]
prev_level = 0
... | 35.808511 | 74 | 0.471777 |
9d7f30ced3a62f77efc7a945776694522aeb3bf6 | 760 | py | Python | toolbox/events/update-info-texts.py | ToolboxBodensee/info-display-ruum-42 | 178d7f208fb0932d94d96b98277a365f06a4977b | [
"BSD-3-Clause",
"Unlicense"
] | 1 | 2019-10-22T21:37:20.000Z | 2019-10-22T21:37:20.000Z | toolbox/events/update-info-texts.py | ToolboxBodensee/info-display-ruum-42 | 178d7f208fb0932d94d96b98277a365f06a4977b | [
"BSD-3-Clause",
"Unlicense"
] | 8 | 2018-11-02T09:51:05.000Z | 2019-06-18T22:37:46.000Z | toolbox/events/update-info-texts.py | ToolboxBodensee/info-display-ruum-42 | 178d7f208fb0932d94d96b98277a365f06a4977b | [
"BSD-3-Clause",
"Unlicense"
] | 4 | 2018-11-02T16:46:32.000Z | 2019-06-10T00:15:36.000Z | import os
import urllib2
filenames = os.listdir('.')
for filename in filenames:
if filename.endswith('.url'):
print filename
with open(filename) as f:
try:
url = f.readline()
response = urllib2.urlopen(url, timeout=10)
lines = re... | 26.206897 | 61 | 0.365789 |
11ffcab6b97c3bccf08b4cdad12eb010b124cd19 | 179 | py | Python | exercises/ja/solution_02_10_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/ja/solution_02_10_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/ja/solution_02_10_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | import spacy
nlp = spacy.load("ja_core_news_md")
doc = nlp("テレビと本")
token1, token2 = doc[0], doc[2]
# 「テレビ」と「本」の類似度を取得
similarity = token1.similarity(token2)
print(similarity)
| 16.272727 | 38 | 0.715084 |
eebbe07d2e013107317e8b984e4538c392b656fd | 542 | py | Python | pacman-arch/test/pacman/tests/sync022.py | Maxython/pacman-for-termux | 3b208eb9274cbfc7a27fca673ea8a58f09ebad47 | [
"MIT"
] | 23 | 2021-05-21T19:11:06.000Z | 2022-03-31T18:14:20.000Z | source/pacman-6.0.1/test/pacman/tests/sync022.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 11 | 2021-05-21T12:08:44.000Z | 2021-12-21T08:30:08.000Z | source/pacman-6.0.1/test/pacman/tests/sync022.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-09-26T08:44:40.000Z | 2021-09-26T08:44:40.000Z | self.description = "Install a group from a sync db using --needed"
lp1 = pmpkg("pkg1")
lp2 = pmpkg("pkg2")
lp3 = pmpkg("pkg3")
sp1 = pmpkg("pkg1", "1.1-1")
sp2 = pmpkg("pkg2")
sp3 = pmpkg("pkg3")
for p in lp1, lp2, lp3, sp1, sp2, sp3:
setattr(p, "groups", ["grp"])
for p in lp1, lp2, lp3:
self.addpkg2db("local", p... | 20.846154 | 66 | 0.640221 |
011f6ea51f5fc2262e6a0b21b0a47e62ed88c57b | 1,112 | py | Python | source/pkgsrc/math/py-numarray/patches/patch-cfg__packages.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-11-20T22:46:39.000Z | 2021-11-20T22:46:39.000Z | source/pkgsrc/math/py-numarray/patches/patch-cfg__packages.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | source/pkgsrc/math/py-numarray/patches/patch-cfg__packages.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | $NetBSD: patch-cfg__packages.py,v 1.1 2015/01/27 05:05:30 dbj Exp $
The vecLib framework has been obsolete since at least osx 10.3
use the Accelerate framework instead
--- cfg_packages.py.orig 2005-07-21 13:57:10.000000000 +0000
+++ cfg_packages.py
@@ -28,13 +28,12 @@ if USE_LAPACK:
lapack_link_args = []
l... | 44.48 | 88 | 0.664568 |
11544e632df1c42fe343548cba3e544fe9e9f6eb | 1,359 | py | Python | Packs/CommonScripts/Scripts/ParseExcel/ParseExcel.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/CommonScripts/Scripts/ParseExcel/ParseExcel.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/CommonScripts/Scripts/ParseExcel/ParseExcel.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import demistomock as demisto # noqa: F401
import xlrd
from CommonServerPython import * # noqa: F401
def parse_excel(file_entry_id):
res = demisto.getFilePath(file_entry_id)
file_path = res['path']
workbook = xlrd.open_workbook(file_path, on_demand=True)
sheet_names = workbook.sheet_names()
sh... | 29.543478 | 85 | 0.621045 |
3aba0b6b2b8d2f2e1f889fbb20dba340f1c806c1 | 10,178 | py | Python | biofid-Toolkit/BlockRemover.py | texttechnologylab/AbbyyViewer | 83256858202f4c82d11b6d44cc9aac609038bca9 | [
"Apache-2.0"
] | null | null | null | biofid-Toolkit/BlockRemover.py | texttechnologylab/AbbyyViewer | 83256858202f4c82d11b6d44cc9aac609038bca9 | [
"Apache-2.0"
] | 6 | 2021-03-10T01:02:38.000Z | 2022-02-26T20:55:19.000Z | biofid-Toolkit/BlockRemover.py | texttechnologylab/AbbyyViewer | 83256858202f4c82d11b6d44cc9aac609038bca9 | [
"Apache-2.0"
] | null | null | null | import os, glob, cv2, csv, graphviz, sys
from xml.etree import ElementTree
from numpy import array, load
from sklearn.tree import DecisionTreeClassifier,export_graphviz
from sklearn.feature_extraction.text import CountVectorizer
# Tool for removing text blocks from Abbyy Finereader 8.0 output file format.
# The file f... | 43.127119 | 164 | 0.606897 |
aaf7cfa8ec93164bcb882c3ebfea662d29d46ed9 | 2,401 | py | Python | dglynn/services/ExplorerService.py | DamienGlynn/MediaServer | 3e92b11df2c03af886483163cf7fffb0d7346c6e | [
"MIT"
] | null | null | null | dglynn/services/ExplorerService.py | DamienGlynn/MediaServer | 3e92b11df2c03af886483163cf7fffb0d7346c6e | [
"MIT"
] | null | null | null | dglynn/services/ExplorerService.py | DamienGlynn/MediaServer | 3e92b11df2c03af886483163cf7fffb0d7346c6e | [
"MIT"
] | null | null | null | import os
import mimetypes
mimetypes.init()
# Helper imports.
from dglynn.helpers.HumanReadableBytes import HumanReadableBytes
class FileInfo(object):
''' Gets and stores information about the file '''
def __init__(self, path):
super(FileInfo, self).__init__()
# Guess the mime type.
self.mime = mimetypes.gu... | 30.782051 | 147 | 0.709704 |
42daa90917a26dd5273ec72c5b2b9265c640f5e7 | 1,541 | py | Python | Python/Buch_Python3_Das_umfassende_Praxisbuch/Kapitel_07_Sequenzen_Mengen_und_Generatoren/03_binary_search_algorithm.py | Apop85/Scripts | e71e1c18539e67543e3509c424c7f2d6528da654 | [
"MIT"
] | null | null | null | Python/Buch_Python3_Das_umfassende_Praxisbuch/Kapitel_07_Sequenzen_Mengen_und_Generatoren/03_binary_search_algorithm.py | Apop85/Scripts | e71e1c18539e67543e3509c424c7f2d6528da654 | [
"MIT"
] | 6 | 2020-12-24T15:15:09.000Z | 2022-01-13T01:58:35.000Z | Python/Buch_Python3_Das_umfassende_Praxisbuch/Kapitel_07_Sequenzen_Mengen_und_Generatoren/03_binary_search_algorithm.py | Apop85/Scripts | 1d8dad316c55e1f1343526eac9e4b3d0909e4873 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
###
# File: 03_binary_search_algorithm.py
# Project: Kapitel_07_Sequenzen_Mengen_und_Generatoren
# Created Date: Tuesday 26.02.2019, 12:51
# Author: Apop85
# -----
# Last Modified: Tuesday 26.02.2019, 13:24
# -----
# Copyright (c) 2019 Apop85
# This software is published un... | 45.323529 | 384 | 0.675535 |
28143146da353d7238d000894b5bba680f5b0818 | 2,179 | py | Python | skill/__init__.py | Lanseuo/luftdaten-skill | 4d11a80d627d86b5afcd8a9ae1d7ccac3659b35a | [
"MIT"
] | 1 | 2019-03-25T07:18:13.000Z | 2019-03-25T07:18:13.000Z | skill/__init__.py | Lanseuo/luftdaten-skill | 4d11a80d627d86b5afcd8a9ae1d7ccac3659b35a | [
"MIT"
] | null | null | null | skill/__init__.py | Lanseuo/luftdaten-skill | 4d11a80d627d86b5afcd8a9ae1d7ccac3659b35a | [
"MIT"
] | null | null | null | from . import db, intents
from .helpers import question
def on_session_started(session_started_request, session):
print("on_session_started")
return {}
def on_session_ended(session_ended_request, session):
print("on_session_ended")
return {}
def on_intent(request, session, context):
intent_nam... | 35.721311 | 116 | 0.67095 |
2844bdf24e7a364488970bf51a6285bdf8dffdee | 908 | py | Python | Chapter2_Python/Dictionaries.py | thisisjako/UdemyTF | ee4102391ed6bd50f764955f732f5740425a9209 | [
"MIT"
] | null | null | null | Chapter2_Python/Dictionaries.py | thisisjako/UdemyTF | ee4102391ed6bd50f764955f732f5740425a9209 | [
"MIT"
] | null | null | null | Chapter2_Python/Dictionaries.py | thisisjako/UdemyTF | ee4102391ed6bd50f764955f732f5740425a9209 | [
"MIT"
] | null | null | null | names = ["Ben", "Jan", "Peter", "Melissa"]
grades = [1, 2, 1, 4]
# dict {(key, value)}
names_and_grades = {"Ben": 1, "Jan": 2, "Peter": 1, "Melissa": 4}
print(names_and_grades)
names_and_grades.update({"Pia": 3})
print(names_and_grades)
names_and_grades["Julia"] = 1
print(names_and_grades)
names_and_gr... | 17.803922 | 66 | 0.627753 |
6c4d9250d2060140bc4aaefac1b3f71d03ad511c | 5,380 | py | Python | ZbjDjChannels/users/forms.py | zbjlala/ZbjDjChannels | c4da2339574e2e398bd452eef4d026eab309752c | [
"MIT"
] | null | null | null | ZbjDjChannels/users/forms.py | zbjlala/ZbjDjChannels | c4da2339574e2e398bd452eef4d026eab309752c | [
"MIT"
] | null | null | null | ZbjDjChannels/users/forms.py | zbjlala/ZbjDjChannels | c4da2339574e2e398bd452eef4d026eab309752c | [
"MIT"
] | null | null | null | from django import forms
from django.contrib.auth.forms import UserCreationForm, AuthenticationForm, PasswordChangeForm
from django.core.exceptions import ValidationError
from .models import User
def avatar_file_size(value):
limit = 2 * 1024 * 1024
if value.size > limit:
raise ValidationError('头像文件太大了... | 43.04 | 94 | 0.47974 |
dd6b6e935a1fbb7066010ee6ab89bf2516fe8c4c | 4,774 | py | Python | datafeed.py | fundthmcalculus/reserautomation | 31fb18815885815dffbb775dd019e28f57ac9228 | [
"MIT"
] | null | null | null | datafeed.py | fundthmcalculus/reserautomation | 31fb18815885815dffbb775dd019e28f57ac9228 | [
"MIT"
] | null | null | null | datafeed.py | fundthmcalculus/reserautomation | 31fb18815885815dffbb775dd019e28f57ac9228 | [
"MIT"
] | null | null | null | import logging
import os
from typing import Iterator, Dict, List, Union
import boto3
import urllib.parse
import pandas
from config import ReserConfig
def get_sale_items(recent_sales):
return list(get_items_from_sale_lines(get_sale_lines(recent_sales)))
def get_sale_lines(all_sales: List[Union[List, Dict]]) -... | 37.007752 | 118 | 0.656891 |
c6e92fd133c59bc7016f0e101fb5674e4d90f089 | 1,270 | py | Python | python_experiments/data_analysis/vldbj_data_parsing/reads_accuracy_statistics.py | RapidsAtHKUST/SimRank | 3a601b08f9a3c281e2b36b914e06aba3a3a36118 | [
"MIT"
] | 8 | 2020-04-14T23:17:00.000Z | 2021-06-21T12:34:04.000Z | python_experiments/data_analysis/vldbj_data_parsing/reads_accuracy_statistics.py | RapidsAtHKUST/SimRank | 3a601b08f9a3c281e2b36b914e06aba3a3a36118 | [
"MIT"
] | null | null | null | python_experiments/data_analysis/vldbj_data_parsing/reads_accuracy_statistics.py | RapidsAtHKUST/SimRank | 3a601b08f9a3c281e2b36b914e06aba3a3a36118 | [
"MIT"
] | 1 | 2021-01-17T16:26:50.000Z | 2021-01-17T16:26:50.000Z | from data_analysis.vldbj_data_parsing.querying_time_accuracy_statistics import get_accuracy_lst, accuracy_data_set_lst
import json
reads_tag = 'reads-s'
reads_d_tag = 'reads-d'
reads_rq_tag = 'reads-rq'
suffix_str = '-rand-bench.txt'
accuracy_folder = '/home/yche/mnt/wangyue-clu/csproject/biggraph/ywangby/yche/git-rep... | 45.357143 | 139 | 0.726772 |
a717a922a3a090e9da9e4eea41e18fb07948fc95 | 1,185 | py | Python | tests/onegov/election_day/formats/election/test_roundtrips.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/election_day/formats/election/test_roundtrips.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/election_day/formats/election/test_roundtrips.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from datetime import date
from io import BytesIO
from onegov.ballot import ProporzElection
from onegov.core.csv import convert_list_of_dicts_to_csv
from onegov.election_day.formats import import_election_internal_proporz
from tests.onegov.election_day.common import create_principal, print_errors
def test_roundtrip_w... | 28.902439 | 76 | 0.705485 |
0515849203797c67c987bc04c0ec7f7c71299260 | 209 | py | Python | exercises/en/solution_01_02_02.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | 2 | 2020-07-07T01:46:37.000Z | 2021-04-20T03:19:43.000Z | exercises/en/solution_01_02_02.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/en/solution_01_02_02.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | # Import spaCy
import spacy
# Create the German nlp object
nlp = spacy.blank("de")
# Process a text (this is German for: "Kind regards!")
doc = nlp("Liebe Grüße!")
# Print the document text
print(doc.text)
| 17.416667 | 54 | 0.703349 |
f92f945cc49c3961e963f280ee303ee96eea3dbb | 21,364 | py | Python | BMC_V1-main/bmc.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | BMC_V1-main/bmc.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | BMC_V1-main/bmc.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#Code by Bangsat Militan
#Created 13-11-2021
#My facebook (https://www.facebook.com/PEMUDA.KALEUM)
import os,sys,re,time,json,random,requests
from bs4 import BeautifulSoup as parser
from concurrent.futures import ThreadPoolExecutor
def croot():
os.system("git pull")
... | 57.740541 | 241 | 0.423376 |
f94db663c4d6a92e237d885872dfdee684bc9251 | 542 | py | Python | zencad/examples/2.Operations/2.Operations/loft.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | 5 | 2018-04-11T14:11:40.000Z | 2018-09-12T19:03:36.000Z | zencad/examples/2.Operations/2.Operations/loft.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | null | null | null | zencad/examples/2.Operations/2.Operations/loft.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# coding: utf-8
from zencad import *
arr = [
circle(r=20, wire=True),
ellipse(30, 25, wire=True).up(20),
circle(r=20, wire=True).up(40),
circle(r=15, wire=True).up(50),
circle(r=16, wire=True).up(60),
]
m0 = loft(arr)
m1 = loft(arr, smooth=True, maxdegree=10, shell=True)
m2 = loft(arr, sm... | 20.846154 | 76 | 0.656827 |
f9824d29fd0e379e8c106afe063a8d3308718661 | 944 | py | Python | IVTa/2014/AMETOVA_M_M/task_9_23.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | IVTa/2014/AMETOVA_M_M/task_9_23.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | IVTa/2014/AMETOVA_M_M/task_9_23.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | # Задача 9. Вариант 49
# Создайте игру, в которой компьютер выбирает какое-либо слово,
# а игрок должен его отгадать. Компьютер сообщает игроку, сколько
# букв в слове, и дает пять попыток узнать, есть ли какая-либо буква
# в слове, причем программа может отвечать только "Да" и "Нет".
# Вслед за тем игрок должен п... | 29.5 | 69 | 0.634534 |
34a523309396689bd3eebf2868320ff93e6b5071 | 542 | py | Python | examples/11 on startup/StartupBot.py | Killerhaschen/marvin-telegram-bot | c65e890a00450ed6ed4312d93e259db0c080ef6d | [
"MIT"
] | 1 | 2020-01-16T08:40:00.000Z | 2020-01-16T08:40:00.000Z | examples/11 on startup/StartupBot.py | Killerhaschen/marvin-telegram-bot | c65e890a00450ed6ed4312d93e259db0c080ef6d | [
"MIT"
] | null | null | null | examples/11 on startup/StartupBot.py | Killerhaschen/marvin-telegram-bot | c65e890a00450ed6ed4312d93e259db0c080ef6d | [
"MIT"
] | 1 | 2019-10-16T08:11:51.000Z | 2019-10-16T08:11:51.000Z | import asyncio
from samt import Bot, Answer, Context, Mode
marv = Bot()
#Put here Your Own TelegramID
# It can be a string or an int
userID=0
@marv.answer("/start")
async def start():
return Answer('greeting', Context.get('user'))
@marv.on_startup
async def testLoop():
while True:
#Define a message... | 20.074074 | 53 | 0.643911 |
34f8038d72c3c78cdfb26e5775442f8bfe725d37 | 847 | py | Python | python/course/leetcode/1~27/1. Two Sum_0414.py | TimVan1596/ACM-ICPC | 07f7d728db1ecd09c5a3d0f05521930b14eb9883 | [
"Apache-2.0"
] | 1 | 2019-05-22T07:12:34.000Z | 2019-05-22T07:12:34.000Z | python/course/leetcode/1~27/1. Two Sum_0414.py | TimVan1596/ACM-ICPC | 07f7d728db1ecd09c5a3d0f05521930b14eb9883 | [
"Apache-2.0"
] | 3 | 2021-12-10T01:13:54.000Z | 2021-12-14T21:18:42.000Z | python/course/leetcode/1~27/1. Two Sum_0414.py | TimVan1596/ACM-ICPC | 07f7d728db1ecd09c5a3d0f05521930b14eb9883 | [
"Apache-2.0"
] | null | null | null | # -*- coding:utf-8 -*-
# @Time:2020/6/13 22:21
# @Author:TimVan
# @File:1. Two Sum.py
# @Software:PyCharm
from typing import List
# 通过字典的方法，查找效率快很多，执行速度大幅缩短，共 88ms。
class Solution:
def twoSum(self, nums: List[int], target: int) -> List[int]:
numsLength = len(nums)
# 定义一个哈希表，k是列表的值，v是列表下标
... | 22.891892 | 64 | 0.546635 |
32da7bd0f3a9aab2041745ba01be828fb002ffc8 | 1,355 | py | Python | babelbox/integration/beet.py | OrangeUtan/babelbox | 3dd01e078aea8aa352ff5606179d5e1e09f4b827 | [
"MIT"
] | 2 | 2021-03-18T04:34:23.000Z | 2021-03-23T17:35:07.000Z | babelbox/integration/beet.py | OrangeUtan/babelbox | 3dd01e078aea8aa352ff5606179d5e1e09f4b827 | [
"MIT"
] | null | null | null | babelbox/integration/beet.py | OrangeUtan/babelbox | 3dd01e078aea8aa352ff5606179d5e1e09f4b827 | [
"MIT"
] | null | null | null | from typing import Iterable, Optional
from beet import Context, Language, Plugin
import babelbox
def beet_default(ctx: Context):
""" Entry point into beet pipeline. Loads configuration and executes babelbox plugin """
config = ctx.meta.get("babelbox", {})
csv_dialect_overwrites = {}
load = config.... | 30.111111 | 94 | 0.63321 |
1ff1904a9171ab6f5014287b42f4d360e4f13cef | 580 | py | Python | backend/python/dao/src/Post.py | Untanky/bachelor-thesis | 01b3c00765006ab6b140607e426533a7eed1508b | [
"MIT"
] | 1 | 2021-02-08T17:07:54.000Z | 2021-02-08T17:07:54.000Z | backend/python/dao/src/Post.py | Untanky/bachelor-thesis | 01b3c00765006ab6b140607e426533a7eed1508b | [
"MIT"
] | null | null | null | backend/python/dao/src/Post.py | Untanky/bachelor-thesis | 01b3c00765006ab6b140607e426533a7eed1508b | [
"MIT"
] | 1 | 2021-02-08T17:08:01.000Z | 2021-02-08T17:08:01.000Z | from sqlalchemy import Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
class Post(Base):
__tablename__ = 'post'
id = Column(Integer, primary_key = True, autoincrement = True)
title = Column(String)
description = Column(String)
def serialize(self):
... | 26.363636 | 80 | 0.665517 |
951ee4713b2524e89da469c5def529eef3285dff | 1,402 | py | Python | official/cv/MCNN/src/evaluate_model.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | official/cv/MCNN/src/evaluate_model.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | official/cv/MCNN/src/evaluate_model.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 38.944444 | 116 | 0.598431 |
2f8ee30ee2bf4d25b8710423ccf496df031160ee | 159 | py | Python | Dockerfiles/gedlab-khmer-filter-abund/pymodules/python2.7/lib/python/screed-0.7.1-py2.7.egg/screed/tests/__main__.py | poojavade/Genomics_Docker | 829b5094bba18bbe03ae97daf925fee40a8476e8 | [
"Apache-2.0"
] | 1 | 2019-07-29T02:53:51.000Z | 2019-07-29T02:53:51.000Z | Dockerfiles/gedlab-khmer-filter-abund/pymodules/python2.7/lib/python/screed-0.7.1-py2.7.egg/screed/tests/__main__.py | poojavade/Genomics_Docker | 829b5094bba18bbe03ae97daf925fee40a8476e8 | [
"Apache-2.0"
] | 1 | 2021-09-11T14:30:32.000Z | 2021-09-11T14:30:32.000Z | Dockerfiles/gedlab-khmer-filter-abund/pymodules/python2.7/lib/python/screed-0.7.1-py2.7.egg/screed/tests/__main__.py | poojavade/Genomics_Docker | 829b5094bba18bbe03ae97daf925fee40a8476e8 | [
"Apache-2.0"
] | 2 | 2016-12-19T02:27:46.000Z | 2019-07-29T02:53:54.000Z | import os
import sys
if __name__ == '__main__':
if len(sys.argv) == 1:
sys.argv.append(os.path.dirname(__file__))
import nose
nose.main()
| 17.666667 | 50 | 0.628931 |
c853941f339aa615bcb56b9d456b6d961e870851 | 457 | py | Python | jumeaux/addons/reqs2reqs/shuffle.py | ihatov08/jumeaux | 7d983474df4b6dcfa57ea1a66901fbc99ebababa | [
"MIT"
] | 11 | 2017-10-02T01:29:12.000Z | 2022-03-31T08:37:22.000Z | jumeaux/addons/reqs2reqs/shuffle.py | ihatov08/jumeaux | 7d983474df4b6dcfa57ea1a66901fbc99ebababa | [
"MIT"
] | 79 | 2017-07-16T14:47:17.000Z | 2022-03-31T08:49:14.000Z | jumeaux/addons/reqs2reqs/shuffle.py | ihatov08/jumeaux | 7d983474df4b6dcfa57ea1a66901fbc99ebababa | [
"MIT"
] | 2 | 2019-01-28T06:11:58.000Z | 2021-01-25T07:21:21.000Z | # -*- coding:utf-8 -*-
import random
from jumeaux.addons.reqs2reqs import Reqs2ReqsExecutor
from jumeaux.domain.config.vo import Config as JumeauxConfig
from jumeaux.models import Reqs2ReqsAddOnPayload
class Executor(Reqs2ReqsExecutor):
def __init__(self, config: dict):
pass
def exec(self, payload:... | 26.882353 | 99 | 0.757112 |
c8abc56b4e0086c776b63b3e97006c078dd7369e | 6,027 | py | Python | lernziel_api.py | xiamaz/lernziel_api | 037e40c50068e6e40932455e589b930879b39715 | [
"MIT"
] | null | null | null | lernziel_api.py | xiamaz/lernziel_api | 037e40c50068e6e40932455e589b930879b39715 | [
"MIT"
] | null | null | null | lernziel_api.py | xiamaz/lernziel_api | 037e40c50068e6e40932455e589b930879b39715 | [
"MIT"
] | null | null | null | """
API for the Charite Lernzielplatform. Uses requests and lxml for scraping the
website.
"""
import re
from dataclasses import dataclass
import requests
from lxml import html
HEADERS = {
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:69.0) Gecko/20100101 Firefox/69.0',
'Accept': 'text/html,... | 28.429245 | 103 | 0.581052 |
f52b933286f2881e719cd6d6597e24f47b60e5f2 | 175 | py | Python | app/views/login.py | luoweis/xskAdmin | d92d0297102140ce5241a0c9f3a80f520bee96a8 | [
"MIT"
] | null | null | null | app/views/login.py | luoweis/xskAdmin | d92d0297102140ce5241a0c9f3a80f520bee96a8 | [
"MIT"
] | null | null | null | app/views/login.py | luoweis/xskAdmin | d92d0297102140ce5241a0c9f3a80f520bee96a8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding=utf-8 -*-
from flask import render_template
from app.bpurls import authBP
@authBP.route('/login/', methods=['GET'])
def login():
pass
| 17.5 | 41 | 0.674286 |
7e10b66c05476b888b3fbd43cf3ddb817fe09a48 | 9,434 | py | Python | experiments/sumo_rl/environment/env.py | june6723/sumo-rl-offset | 775cddc8d168fb7c4959610a96a791d746fa0afd | [
"MIT"
] | 4 | 2020-10-11T01:30:13.000Z | 2021-04-27T16:03:41.000Z | experiments/sumo_rl/environment/env.py | june6723/sumo-rl-offset | 775cddc8d168fb7c4959610a96a791d746fa0afd | [
"MIT"
] | null | null | null | experiments/sumo_rl/environment/env.py | june6723/sumo-rl-offset | 775cddc8d168fb7c4959610a96a791d746fa0afd | [
"MIT"
] | null | null | null | import os
import sys
if 'SUMO_HOME' in os.environ:
tools = os.path.join(os.environ['SUMO_HOME'], 'tools')
sys.path.append(tools)
else:
sys.exit("Please declare the environment variable 'SUMO_HOME'")
import traci
import sumolib
from gym import Env
import traci.constants as tc
from gym import spaces
from ray.... | 39.974576 | 215 | 0.617554 |
e34d13d93a0fa8b9e123a4ca97b1ef7f5dca4988 | 1,971 | py | Python | Beginner/03. Python/joke_machine.py | ankita080208/Hacktoberfest | 2be849e89285260e7b6672f42979943ad6bbec78 | [
"MIT"
] | 3 | 2021-03-16T16:44:04.000Z | 2021-06-07T17:32:51.000Z | Beginner/03. Python/joke_machine.py | ankita080208/Hacktoberfest | 2be849e89285260e7b6672f42979943ad6bbec78 | [
"MIT"
] | null | null | null | Beginner/03. Python/joke_machine.py | ankita080208/Hacktoberfest | 2be849e89285260e7b6672f42979943ad6bbec78 | [
"MIT"
] | 1 | 2020-10-26T08:44:01.000Z | 2020-10-26T08:44:01.000Z | jokes=["What did the pirate say when he turned 80? - Aye Matey", "Why cant you trust an Atom? -Because they make up everything!","What do computers eat for a snack? - Microchips!", "Why did the scarecrow get a promotion?- He was outstanding in his field!","What do you call a chicken who counts her eggs?- A Mathmachicke... | 35.836364 | 736 | 0.587519 |
d0f741035d6d3c79db592ee7eb0037b328df1fff | 123 | py | Python | sources/stage01/helloturtle.py | kantel/pythonschulung2 | b13fb24770dd7789f3845aeb147a720dff272951 | [
"MIT"
] | null | null | null | sources/stage01/helloturtle.py | kantel/pythonschulung2 | b13fb24770dd7789f3845aeb147a720dff272951 | [
"MIT"
] | null | null | null | sources/stage01/helloturtle.py | kantel/pythonschulung2 | b13fb24770dd7789f3845aeb147a720dff272951 | [
"MIT"
] | null | null | null | import turtle
wn = turtle.Screen()
alex = turtle.Turtle()
alex.forward(50)
alex.left(90)
alex.forward(50)
wn.mainloop()
| 11.181818 | 22 | 0.715447 |
eb0a8e0ba541b992a56b91ed8225c2a7e49123d0 | 54 | py | Python | app/common/__init__.py | uosorio/heroku_face | 7d6465e71dba17a15d8edaef520adb2fcd09d91e | [
"Apache-2.0"
] | 73 | 2018-12-14T18:12:33.000Z | 2022-02-23T21:39:59.000Z | app/common/__init__.py | uosorio/heroku_face | 7d6465e71dba17a15d8edaef520adb2fcd09d91e | [
"Apache-2.0"
] | 4 | 2019-11-23T18:08:18.000Z | 2021-08-23T09:00:15.000Z | app/common/__init__.py | uosorio/heroku_face | 7d6465e71dba17a15d8edaef520adb2fcd09d91e | [
"Apache-2.0"
] | 33 | 2019-06-03T00:30:57.000Z | 2022-03-10T23:54:43.000Z | """
AUTOR: Juanjo
FECHA DE CREACIÓN: 17/01/2020
""" | 7.714286 | 29 | 0.62963 |
eb44edd93abe9f9ec4ba6f7c6a23b1633b3485bb | 2,547 | py | Python | experiment/training_of_UNet.py | liushrui/dsb | eacbe770acf32023029eb89dcc7829af89b09132 | [
"MIT"
] | null | null | null | experiment/training_of_UNet.py | liushrui/dsb | eacbe770acf32023029eb89dcc7829af89b09132 | [
"MIT"
] | null | null | null | experiment/training_of_UNet.py | liushrui/dsb | eacbe770acf32023029eb89dcc7829af89b09132 | [
"MIT"
] | null | null | null | import os
import numpy as np
import pandas as pd
import tensorflow as tf
import matplotlib.pyplot as plt
from keras.callbacks import CSVLogger, EarlyStopping, ModelCheckpoint, ReduceLROnPlateau, TensorBoard
import _init_path
from UNet import UNet
from inference import inference
from helper import set_gpu_usa... | 38.590909 | 123 | 0.687083 |
de8cbeaa57b3a87cb83012603c5aececfce91037 | 222 | py | Python | command_parser.py | NekoApocalypse/AlchemyBot-Telegram | 10a8b0a7ba85ae4f7ce268bf48d4ef9c343e92df | [
"MIT"
] | null | null | null | command_parser.py | NekoApocalypse/AlchemyBot-Telegram | 10a8b0a7ba85ae4f7ce268bf48d4ef9c343e92df | [
"MIT"
] | null | null | null | command_parser.py | NekoApocalypse/AlchemyBot-Telegram | 10a8b0a7ba85ae4f7ce268bf48d4ef9c343e92df | [
"MIT"
] | null | null | null | import json
command_list = {
'卖萌': 'be_moe',
'测试': 'test',
'开始炼丹': 'start_training'
}
def parse_command(msg):
if msg in command_list:
return command_list[msg]
else:
return 'unknown'
| 13.875 | 32 | 0.585586 |
f8c6868be8efc3a795416322c7853e45ec1a67e6 | 8,005 | py | Python | src/onegov/ballot/models/election/candidate.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/ballot/models/election/candidate.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/ballot/models/election/candidate.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.ballot.models.election.candidate_result import CandidateResult
from onegov.ballot.models.election.election_result import ElectionResult
from onegov.ballot.models.mixins import summarized_property
from onegov.core.orm import Base
from onegov.core.orm.mixins import TimestampMixin
from onegov.core.orm.types im... | 33.776371 | 79 | 0.581636 |
e4f64ba3beb3d23d8c70ef24100014f1abfe8e77 | 7,079 | py | Python | python/GyroSensor.py | thomas-trendsoft/BeerBot | 9ac9bfcede3f37dc8aaa3ee09e06272a1b43a9e9 | [
"MIT"
] | null | null | null | python/GyroSensor.py | thomas-trendsoft/BeerBot | 9ac9bfcede3f37dc8aaa3ee09e06272a1b43a9e9 | [
"MIT"
] | null | null | null | python/GyroSensor.py | thomas-trendsoft/BeerBot | 9ac9bfcede3f37dc8aaa3ee09e06272a1b43a9e9 | [
"MIT"
] | 1 | 2020-12-31T01:22:19.000Z | 2020-12-31T01:22:19.000Z | import smbus
import math
import time
# first try to get a gyro driver
class MPU6050:
#base register
USER_CTRL = 0x6a
PWR_MGMT_1 = 0x6b
PWR_MGMT_2 = 0x6c
WHO_AM_I = 0x75
SMPRT_DIV = 0x19 # sample rate divider (0 = 8kHz -> rate = 8kHz / (val + 1))
# data register für accel
ACCEL_CON... | 28.893878 | 106 | 0.61633 |
90405f1412538e8cb0ddd98c0cc0ba397045358f | 380 | py | Python | tests/test_p_5_vertauschen.py | techrabbit58/uebung_informatik_vorkurs | e99312ae66ccccd6bfe45bfd3c3f43c01690659c | [
"Unlicense"
] | null | null | null | tests/test_p_5_vertauschen.py | techrabbit58/uebung_informatik_vorkurs | e99312ae66ccccd6bfe45bfd3c3f43c01690659c | [
"Unlicense"
] | null | null | null | tests/test_p_5_vertauschen.py | techrabbit58/uebung_informatik_vorkurs | e99312ae66ccccd6bfe45bfd3c3f43c01690659c | [
"Unlicense"
] | null | null | null | """
Test der "tauschen()" Funktion aus p_5_vertauschen.py
"""
from tag_2.p_5_vertauschen import tauschen
def test_tausch_mit_zahlen():
a, b = 1, 2
assert b, a == tauschen(a, b)
def test_tausch_mit_strings():
a, b = 'hello', 'world'
assert b, a == tauschen(a, b)
def test_tausch_mit_listen():
a,... | 19 | 53 | 0.618421 |
8451280340a515798291c206ae39498cd805cbbf | 803 | py | Python | Online-Judges/HackerRank/Python/Nested_Lists.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | 3 | 2021-06-15T01:19:23.000Z | 2022-03-16T18:23:53.000Z | Online-Judges/HackerRank/Python/Nested_Lists.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | Online-Judges/HackerRank/Python/Nested_Lists.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | def insertion_sort(lst):
for i in range(len(lst)):
for j in range(i - 1, -1, -1):
if lst[j][1] == lst[j + 1][1] and lst[j][0] > lst[j + 1][0]:
lst[j], lst[j + 1] = lst[j + 1], lst[j]
elif lst[j][1] > lst[j + 1][1]:
lst[j], lst[j + 1] = lst[j + 1], lst[... | 25.09375 | 72 | 0.417186 |
4b4f52edaca43c4194bf3fe88ed130f40f230d5b | 337 | py | Python | 205-isomorphic-strings/205-isomorphic-strings.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | 2 | 2021-12-05T14:29:06.000Z | 2022-01-01T05:46:13.000Z | 205-isomorphic-strings/205-isomorphic-strings.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | 205-isomorphic-strings/205-isomorphic-strings.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | class Solution:
def isIsomorphic(self, s: str, t: str) -> bool:
if len(set(s))!=len(set(t)): return False
di = dict()
for left, right in zip(s, t):
if left not in di:
di[left]=right
elif di[left]!=right:
return False
return True... | 30.636364 | 51 | 0.462908 |
6a6654b6b65807073f2d3b202d85cf9737792429 | 279 | py | Python | main.py | nic-fillion/SMALET | 011844a2ee23383f4cbd9df4f394de086f873fc6 | [
"MIT"
] | null | null | null | main.py | nic-fillion/SMALET | 011844a2ee23383f4cbd9df4f394de086f873fc6 | [
"MIT"
] | null | null | null | main.py | nic-fillion/SMALET | 011844a2ee23383f4cbd9df4f394de086f873fc6 | [
"MIT"
] | null | null | null | import logging
from ib_connection.IBApi import IBApi
logging.basicConfig(level=logging.DEBUG, format='%(levelname)s - %(message)s')
if __name__ == '__main__':
logging.info('Application bootstrap is starting...')
app = IBApi()
app.connect('127.0.0.1', 4001, 123)
| 21.461538 | 78 | 0.698925 |
0a97e609b94ca44395779889843c9156c364cbc6 | 22,858 | py | Python | Packs/ServiceNow/Integrations/ServiceNow_CMDB/ServiceNow_CMDB.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/ServiceNow/Integrations/ServiceNow_CMDB/ServiceNow_CMDB.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/ServiceNow/Integrations/ServiceNow_CMDB/ServiceNow_CMDB.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import demistomock as demisto
from CommonServerPython import *
from CommonServerUserPython import *
'''IMPORTS'''
import urllib3
import traceback
from typing import Any, Dict, Tuple, List
from _collections import defaultdict
import ast
from operator import itemgetter
# Disable insecure warnings
urllib3.disable_warnin... | 40.172232 | 130 | 0.643888 |
7c2a472a07a903b3dadcfef8b4cc9a681fd17f6d | 3,779 | py | Python | rasa/core/training/__init__.py | chaneyjd/rasa | 104a9591fc10b96eaa7fe402b6d64ca652b7ebe2 | [
"Apache-2.0"
] | 37 | 2019-06-07T07:39:00.000Z | 2022-01-27T08:32:57.000Z | rasa/core/training/__init__.py | chaneyjd/rasa | 104a9591fc10b96eaa7fe402b6d64ca652b7ebe2 | [
"Apache-2.0"
] | 209 | 2020-03-18T18:28:12.000Z | 2022-03-01T13:42:29.000Z | rasa/core/training/__init__.py | chaneyjd/rasa | 104a9591fc10b96eaa7fe402b6d64ca652b7ebe2 | [
"Apache-2.0"
] | 65 | 2019-05-21T12:16:53.000Z | 2022-02-23T10:54:15.000Z | from typing import Text, List, Optional, Union, TYPE_CHECKING
if TYPE_CHECKING:
from rasa.shared.core.domain import Domain
from rasa.shared.core.trackers import DialogueStateTracker
from rasa.shared.core.generator import TrackerWithCachedStates
from rasa.shared.core.training_data.structures import Stor... | 33.149123 | 83 | 0.688013 |
860a6a669e7df0a62eb46d0f1060e6f4e17ac3fc | 175 | py | Python | src/onegov/server/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/server/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/server/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.server.application import Application
from onegov.server.core import Server
from onegov.server.config import Config
__all__ = ['Application', 'Server', 'Config']
| 29.166667 | 49 | 0.8 |
861b624364c3ac3026d4c7de7b47cdd5f791b836 | 4,226 | py | Python | model/layers/coordconv.py | quanghona/SOLO_tf2 | 4aab0fc9115d210f08e694ec59b5f093ade8ce91 | [
"MIT"
] | 8 | 2021-03-07T10:25:21.000Z | 2022-02-20T23:57:24.000Z | model/layers/coordconv.py | quanghona/SOLO_tf2 | 4aab0fc9115d210f08e694ec59b5f093ade8ce91 | [
"MIT"
] | null | null | null | model/layers/coordconv.py | quanghona/SOLO_tf2 | 4aab0fc9115d210f08e694ec59b5f093ade8ce91 | [
"MIT"
] | null | null | null | import tensorflow as tf
"""
CoordConv implementation which translatre to tensorflow version 2.x
Paper and original code: https://arxiv.org/pdf/1807.03247.pdf
"""
'''
class AddCoords(tf.keras.layers.Layer):
"""Add coords to a tensor"""
def __init__(self, x_dim=64, y_dim=64, with_r=False):
super(AddCoor... | 37.39823 | 114 | 0.635589 |
86dfa9bb0792b973b9b032bf724fe1b9ed024eaf | 1,364 | py | Python | python/interface/virtual_base_class.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/interface/virtual_base_class.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/interface/virtual_base_class.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | class PersonMeta(type):
"""A person metaclass"""
def __isinstancecheck__(cls, instance):
return cls.__subclasscheck__(type(instance))
def __subclasscheck__(cls, subclass):
return (
hasattr(subclass, "name")
and callable(subclass.name)
and hasat... | 22 | 65 | 0.59824 |
d4a01cebb726b76e8ff38c1625778ba6283dd15e | 1,614 | py | Python | pandas_zhijue.py | lixianyu/DL | 4cf08b2cc8a5478af38c1b00d765548efe396392 | [
"MIT"
] | null | null | null | pandas_zhijue.py | lixianyu/DL | 4cf08b2cc8a5478af38c1b00d765548efe396392 | [
"MIT"
] | null | null | null | pandas_zhijue.py | lixianyu/DL | 4cf08b2cc8a5478af38c1b00d765548efe396392 | [
"MIT"
] | null | null | null | #评估和建立直觉
#一旦将数据加载到数据框中，Pandas 会非常简单、快速地对数据进行调查。
#我们现在介绍一些有效的数据集直觉评估和建立方法。可以使用之前的癌症数据。
import pandas as pd
df = pd.read_csv('cancer_data.csv')
df.head(6)
# 返回数据框维度的元组 (569, 32)
df.shape
# 返回列的数据类型
df.dtypes
# 显示数据框的简明摘要，
# 包括每列非空值的数量
df.info()
# 返回每列数据的有效描述性统计
df.describe()
# 返回数据框中的前几行
# 默认返... | 16.989474 | 55 | 0.723048 |
d4bcc9bd4c7eeba756e9fdbe3a1dd7015855f40e | 2,658 | py | Python | tests/test_heat_pump_hplib.py | sdickler/HiSim | 09a11d99f220f7cadb3cb7b09a6fce8f147243c8 | [
"MIT"
] | null | null | null | tests/test_heat_pump_hplib.py | sdickler/HiSim | 09a11d99f220f7cadb3cb7b09a6fce8f147243c8 | [
"MIT"
] | null | null | null | tests/test_heat_pump_hplib.py | sdickler/HiSim | 09a11d99f220f7cadb3cb7b09a6fce8f147243c8 | [
"MIT"
] | null | null | null | from hisim import component as cp
from hisim.components.heat_pump_hplib import HeatPumpHplib
from hisim import loadtypes as lt
from hisim.simulationparameters import SimulationParameters
def test_heat_pump_hplib():
# Definitions for HeatPump init
model: str = "Generic"
group_id: int = 1
t_in: float = ... | 32.414634 | 141 | 0.600828 |
be04ef24ae09c9f205d5e3df6de8d56d51006d66 | 677 | py | Python | Hackerrank_problems/Check_LeapYear/solution.py | gbrls/CompetitiveCode | b6f1b817a655635c3c843d40bd05793406fea9c6 | [
"MIT"
] | 165 | 2020-10-03T08:01:11.000Z | 2022-03-31T02:42:08.000Z | Hackerrank_problems/Check_LeapYear/solution.py | gbrls/CompetitiveCode | b6f1b817a655635c3c843d40bd05793406fea9c6 | [
"MIT"
] | 383 | 2020-10-03T07:39:11.000Z | 2021-11-20T07:06:35.000Z | Hackerrank_problems/Check_LeapYear/solution.py | gbrls/CompetitiveCode | b6f1b817a655635c3c843d40bd05793406fea9c6 | [
"MIT"
] | 380 | 2020-10-03T08:05:04.000Z | 2022-03-19T06:56:59.000Z | #Author : @Aashrut
def is_leap(year):
# We initialize the variable leap to False, so that if it doesn't pass all condition then it can return False.
leap = False
# conditions for leap year
# If year is divided by 4, then it is leap year
if (year%4)==0:
leap=True
# but if it is ... | 27.08 | 114 | 0.601182 |
9c057f30682b15d6b8a65fe5fa6106f8f103046f | 1,401 | py | Python | Linkedin Learning/Learning Python/Excercise Files/Exercise Files/Ch3/calendars_finished.py | rishav3101/Online-Courses-Learning | 1e9356af331b27b6ee33d376d8d7104edaeac2fa | [
"MIT"
] | 331 | 2019-10-22T09:06:28.000Z | 2022-03-27T13:36:03.000Z | Linkedin Learning/Learning Python/Excercise Files/Exercise Files/Ch3/calendars_finished.py | rishav3101/Online-Courses-Learning | 1e9356af331b27b6ee33d376d8d7104edaeac2fa | [
"MIT"
] | 8 | 2020-04-10T07:59:06.000Z | 2022-02-06T11:36:47.000Z | Linkedin Learning/Learning Python/Excercise Files/Exercise Files/Ch3/calendars_finished.py | rishav3101/Online-Courses-Learning | 1e9356af331b27b6ee33d376d8d7104edaeac2fa | [
"MIT"
] | 572 | 2019-07-28T23:43:35.000Z | 2022-03-27T22:40:08.000Z | #
# Example file for working with Calendars
#
import calendar
# create a plain text calendar
c = calendar.TextCalendar(calendar.SUNDAY)
str = c.formatmonth(2017, 1, 0, 0)
print (str)
# create an HTML formatted calendar
hc = calendar.HTMLCalendar(calendar.SUNDAY)
str = hc.formatmonth(2017, 1)
print (str)
# loop over... | 28.591837 | 75 | 0.720914 |
9c61378c34681a5efe94b588ef7b7cc621359185 | 4,757 | py | Python | research/cv/autoaugment/train.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 1 | 2021-11-18T08:17:44.000Z | 2021-11-18T08:17:44.000Z | research/cv/autoaugment/train.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | null | null | null | research/cv/autoaugment/train.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 2 | 2019-09-01T06:17:04.000Z | 2019-10-04T08:39:45.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 33.978571 | 78 | 0.663443 |
130c4a96e5fd87e4bc241f54f97f05b12da57a3a | 296 | py | Python | HackerRank/30-Days-of-Code/Day 6: Let's Review/review.py | tareqmahmud/Competitive-Programming | ad5e53300d70280bccbd5046ca01278fb246f314 | [
"MIT"
] | 2 | 2020-11-19T19:03:28.000Z | 2021-01-04T19:52:11.000Z | 30-Days-of-Code/Day 6: Let's Review/review.py | tareqmahmud/HackerRank | e1b9facab6582f86ea6cc63afcc640e66ba3f67e | [
"MIT"
] | null | null | null | 30-Days-of-Code/Day 6: Let's Review/review.py | tareqmahmud/HackerRank | e1b9facab6582f86ea6cc63afcc640e66ba3f67e | [
"MIT"
] | null | null | null | loop = int(input())
for i in range(loop):
string = str(input())
for j in range(len(string)):
if j % 2 == 0:
print(string[j], end="")
print(" ", end="")
for k in range(len(string)):
if k % 2 != 0:
print(string[k], end="")
print("")
| 17.411765 | 36 | 0.452703 |
dbe4024fd45cd41359d3a2eb2b00b26bdbeec2de | 758 | py | Python | rating/canonical_url.py | thegreenwebfoundation/green-spider | 68f22886178bbe5b476a4591a6812ee25cb5651b | [
"Apache-2.0"
] | 19 | 2018-04-20T11:03:41.000Z | 2022-01-12T20:58:56.000Z | rating/canonical_url.py | thegreenwebfoundation/green-spider | 68f22886178bbe5b476a4591a6812ee25cb5651b | [
"Apache-2.0"
] | 160 | 2018-04-05T16:12:59.000Z | 2022-03-01T13:01:27.000Z | rating/canonical_url.py | thegreenwebfoundation/green-spider | 68f22886178bbe5b476a4591a6812ee25cb5651b | [
"Apache-2.0"
] | 8 | 2018-11-05T13:07:57.000Z | 2021-06-11T11:46:43.000Z | """
This looks at remaining resolvable URLs after redirects
and gives score if there is only one URL left.
"""
from rating.abstract_rater import AbstractRater
class Rater(AbstractRater):
rating_type = 'boolean'
default_value = False
depends_on_checks = ['url_canonicalization']
max_score = 1
def ... | 23.6875 | 64 | 0.610818 |
e02ba9f028e0c54c9d1ac79e6a7a730326160766 | 4,657 | py | Python | x2paddle/optimizer/fusion/conv2d_add_fuser.py | usertianqin/X2Paddle | b554a8094ca3e255ef4bd2e80337222a35625133 | [
"Apache-2.0"
] | 559 | 2019-01-14T06:01:55.000Z | 2022-03-31T02:52:43.000Z | x2paddle/optimizer/fusion/conv2d_add_fuser.py | usertianqin/X2Paddle | b554a8094ca3e255ef4bd2e80337222a35625133 | [
"Apache-2.0"
] | 353 | 2019-05-07T13:20:03.000Z | 2022-03-31T05:30:12.000Z | x2paddle/optimizer/fusion/conv2d_add_fuser.py | usertianqin/X2Paddle | b554a8094ca3e255ef4bd2e80337222a35625133 | [
"Apache-2.0"
] | 241 | 2018-12-25T02:13:51.000Z | 2022-03-27T23:21:43.000Z | # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | 41.954955 | 147 | 0.631093 |
162c99991b24b744c262c57d47d5e2b6eb4595bc | 891 | py | Python | tools-darkv1-master/password.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | tools-darkv1-master/password.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | tools-darkv1-master/password.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z | import os, sys
print ("\033[1;32mSilahkan Masukkan Username & Password Anda")
print ("\033[1;32matau silahkan Hubungi 089655478810 ")
print ("\033[1;32mScript Ini sekarang tidak gratis ")
username = 'Mantan'
password = 'Sayang'
def restart():
ngulang = sys.executable
os.execl(ngulang, ngulang, *sys.... | 12.549296 | 69 | 0.646465 |
5d7831659fc1cc819592fd7904b906a66195346f | 107,769 | py | Python | torch/testing/_internal/distributed/rpc/dist_autograd_test.py | vuanvin/pytorch | 9267fd8d7395074001ad7cf2a8f28082dbff6b0b | [
"Intel"
] | 183 | 2018-04-06T21:10:36.000Z | 2022-03-30T15:05:24.000Z | torch/testing/_internal/distributed/rpc/dist_autograd_test.py | vuanvin/pytorch | 9267fd8d7395074001ad7cf2a8f28082dbff6b0b | [
"Intel"
] | 631 | 2018-06-05T16:59:11.000Z | 2022-03-31T16:26:57.000Z | torch/testing/_internal/distributed/rpc/dist_autograd_test.py | vuanvin/pytorch | 9267fd8d7395074001ad7cf2a8f28082dbff6b0b | [
"Intel"
] | 58 | 2018-06-05T16:40:18.000Z | 2022-03-16T15:37:29.000Z | import sys
import threading
import time
from enum import Enum
import random
import torch
import torch.nn as nn
from datetime import timedelta
import torch.distributed as dist
import torch.distributed.autograd as dist_autograd
import torch.distributed.rpc as rpc
import torch.testing._internal.dist_utils
from torch.autog... | 38.69623 | 110 | 0.598298 |
ab3a3950e6182a956d899b79d45d5d485c471e76 | 5,420 | py | Python | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/cs_role.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/cs_role.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/cs_role.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
#
# (c) 2016, René Moser <mail@renemoser.net>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
... | 25.446009 | 98 | 0.593173 |
db87a9389d86902293428feb6794e20243602dcf | 247 | py | Python | docs_src/custom_response/tutorial006c.py | jomue/fastapi | bee35f5ae1fc58e7ab125427ad4287210e99d8b3 | [
"MIT"
] | 53,007 | 2018-12-08T10:05:29.000Z | 2022-03-31T23:30:02.000Z | docs_src/custom_response/tutorial006c.py | jomue/fastapi | bee35f5ae1fc58e7ab125427ad4287210e99d8b3 | [
"MIT"
] | 4,155 | 2019-01-05T05:07:49.000Z | 2022-03-31T21:25:38.000Z | docs_src/custom_response/tutorial006c.py | jomue/fastapi | bee35f5ae1fc58e7ab125427ad4287210e99d8b3 | [
"MIT"
] | 4,092 | 2018-12-09T16:21:00.000Z | 2022-03-31T07:59:45.000Z | from fastapi import FastAPI
from fastapi.responses import RedirectResponse
app = FastAPI()
@app.get("/pydantic", response_class=RedirectResponse, status_code=302)
async def redirect_pydantic():
return "https://pydantic-docs.helpmanual.io/"
| 24.7 | 71 | 0.785425 |
9154eae78c9e5257c1c726177cf7d42912166b9d | 793 | py | Python | Python/Courses/Python-Tutorials.Telusko/00.Fundamentals/07.05-for-Loop-Over-Sequence-Type.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Courses/Python-Tutorials.Telusko/00.Fundamentals/07.05-for-Loop-Over-Sequence-Type.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Courses/Python-Tutorials.Telusko/00.Fundamentals/07.05-for-Loop-Over-Sequence-Type.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | lst = [12, 32, "shihab", "mahinur"]
for i in lst:
print(i, end=" ")
print()
for i in [12, 32, "shihab", "mahinur"]:
print(i, end=" ")
print("\n")
tup = (12, 32, "shihab", "mahinur")
for i in tup:
print(i, end=" ")
print()
for i in (12, 32, "shihab", "mahinur"):
print(i, end=" ")
print("\n")
st =... | 13.440678 | 53 | 0.515763 |
37ddae5414e8eff2b7bf725b459ab01d119b3317 | 147 | py | Python | exercises/zh/exc_01_02_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/zh/exc_01_02_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/zh/exc_01_02_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | # 导入德语类
from spacy.lang.____ import ____
# 创建nlp对象
nlp = ____
# 处理文本 (这是德语"Kind regards!"的意思)
doc = nlp("Liebe Grüße!")
# 打印文本
print(____.text)
| 12.25 | 32 | 0.687075 |
37fe8667bfe8c8ef75335642dceafed8c0cb5580 | 1,540 | py | Python | backend/setup.py | teodorvoicencu/FakeBox | f14ca83643894d9d0761294cfce511a52401de68 | [
"MIT"
] | null | null | null | backend/setup.py | teodorvoicencu/FakeBox | f14ca83643894d9d0761294cfce511a52401de68 | [
"MIT"
] | null | null | null | backend/setup.py | teodorvoicencu/FakeBox | f14ca83643894d9d0761294cfce511a52401de68 | [
"MIT"
] | null | null | null | from setuptools import setup
import distutils.cmd
import subprocess
from typing import List
def create_command(text: str, commands: List[List[str]]):
class CustomCommand(distutils.cmd.Command):
user_options: List[str] = []
description = text
def initialize_options(self):
pas... | 26.551724 | 107 | 0.533117 |
534ad260bfac74b5669dc93f0db35d6713f1c26e | 7,836 | py | Python | spider/test1/test1/pipelines.py | shyorange/MovieWebsite | aaf3be332b9f944ea93fbd841e1758b4a11d4581 | [
"Apache-2.0"
] | null | null | null | spider/test1/test1/pipelines.py | shyorange/MovieWebsite | aaf3be332b9f944ea93fbd841e1758b4a11d4581 | [
"Apache-2.0"
] | null | null | null | spider/test1/test1/pipelines.py | shyorange/MovieWebsite | aaf3be332b9f944ea93fbd841e1758b4a11d4581 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
"""
通过textmovie文件返回的item对象被传到该文件，在该文件的process_item方法内进行数据再处理
"""
import os;
import re;
import pymysql;
# 使用redis和布隆过滤器进行电影数据去重... | 34.982143 | 325 | 0.599668 |
f4269a826e2a04c92142188a4ebbf259987f7cd4 | 7,413 | py | Python | paddlenlp/__init__.py | AI-Mart/PaddleNLP | 0ababea960427e8b70220ea06d908ed58cbed0ed | [
"Apache-2.0"
] | null | null | null | paddlenlp/__init__.py | AI-Mart/PaddleNLP | 0ababea960427e8b70220ea06d908ed58cbed0ed | [
"Apache-2.0"
] | null | null | null | paddlenlp/__init__.py | AI-Mart/PaddleNLP | 0ababea960427e8b70220ea06d908ed58cbed0ed | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 37.821429 | 99 | 0.644678 |
fe438002b9d549a88fba156f965e8e612ec8c919 | 991 | py | Python | docs/fragments/vgg_style_dropout_minimal_feature_channels.py | subodhchhabra/ai | 7a2b5942e8761d436a33597e94bef8b42e2cf632 | [
"MIT"
] | null | null | null | docs/fragments/vgg_style_dropout_minimal_feature_channels.py | subodhchhabra/ai | 7a2b5942e8761d436a33597e94bef8b42e2cf632 | [
"MIT"
] | null | null | null | docs/fragments/vgg_style_dropout_minimal_feature_channels.py | subodhchhabra/ai | 7a2b5942e8761d436a33597e94bef8b42e2cf632 | [
"MIT"
] | null | null | null | from keras.models import Model
from keras.layers import Dense, Dropout, Flatten, Input
from keras.layers import Convolution2D, MaxPooling2D
# input tensor for a 3-channel 64x64 image
inputs = Input(shape=(64, 64, 3))
# one block of convolutional layers
x = Convolution2D(8, 3, activation='relu', padding='same')(inputs... | 33.033333 | 66 | 0.696266 |
fe1953adc55807fe06dc05fea234db4394486e0e | 734 | py | Python | Packs/CommonScripts/Scripts/IPv4Blacklist/IPv4Blacklist.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/CommonScripts/Scripts/IPv4Blacklist/IPv4Blacklist.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/CommonScripts/Scripts/IPv4Blacklist/IPv4Blacklist.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import demistomock as demisto
from CommonServerPython import *
from netaddr import IPAddress, IPNetwork
def main():
ip_addresses = argToList(demisto.args()['value'])
cidr_range_list = argToList(demisto.args()['cidr_ranges'])
excluded_addresses = []
for ip_address in ip_addresses:
found = Fa... | 22.9375 | 62 | 0.658038 |
4376d2acd264b5a0ea483d65209748af55a3d085 | 514 | py | Python | Books/Gonit-Korbo-Joi/chapter-07/02_median.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | 3 | 2021-06-15T01:19:23.000Z | 2022-03-16T18:23:53.000Z | Books/Gonit-Korbo-Joi/chapter-07/02_median.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | Books/Gonit-Korbo-Joi/chapter-07/02_median.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | def median(li):
li.sort()
count = len(li)
if count == 0:
return None
if count % 2 == 1:
mid = count // 2
return li(mid)
else:
mid2 = count // 2
mid1 = mid2 - 1
return (li[mid1]+li[mid2])/2
run_robin = [95, 88, 47, 0, 10, 1, 5, 12, 0, 3]
run_shomit = [... | 24.47619 | 50 | 0.568093 |
438ba933c3a9ae36b63e3a23ee11c6de44212ff4 | 319 | py | Python | Data Structures/DataStructures-Problems/Strings/Different Names/solution.py | Nidita/Data-Structures-Algorithms | 7b5198c8d37e9a70dd0885c6eef6dddd9d85d74a | [
"MIT"
] | 26 | 2019-07-17T11:05:43.000Z | 2022-02-06T08:31:40.000Z | Data Structures/DataStructures-Problems/Strings/Different Names/solution.py | Nidita/Data-Structures-Algorithms | 7b5198c8d37e9a70dd0885c6eef6dddd9d85d74a | [
"MIT"
] | 7 | 2019-07-16T19:52:25.000Z | 2022-01-08T08:03:44.000Z | Data Structures/DataStructures-Problems/Strings/Different Names/solution.py | Nidita/Data-Structures-Algorithms | 7b5198c8d37e9a70dd0885c6eef6dddd9d85d74a | [
"MIT"
] | 19 | 2020-01-14T02:44:28.000Z | 2021-12-27T17:31:59.000Z | array = list(input().split())
freq = dict()
for string in array:
if freq.get(string) is not None:
freq[string] = freq.get(string)+1
else:
freq[string] = 1
if len(freq)==0:
print(-1)
exit()
for string in freq:
if freq[string] > 1:
print('{0} {1}'.format(string, freq[string])) | 24.538462 | 53 | 0.573668 |
60e59efe4e34e268d756033c54f12cb1aebc62c8 | 1,030 | py | Python | demos/Multiscale/ThreeSided/model/parts/consumers.py | w-ghub/demos | 6382676fae89bd5a190626612712fcedf17bca6d | [
"MIT"
] | 56 | 2020-07-08T23:23:15.000Z | 2022-03-11T20:43:09.000Z | demos/Multiscale/ThreeSided/model/parts/consumers.py | w-ghub/demos | 6382676fae89bd5a190626612712fcedf17bca6d | [
"MIT"
] | 41 | 2020-07-11T23:24:06.000Z | 2022-01-28T13:28:07.000Z | demos/Multiscale/ThreeSided/model/parts/consumers.py | w-ghub/demos | 6382676fae89bd5a190626612712fcedf17bca6d | [
"MIT"
] | 39 | 2020-07-15T11:35:04.000Z | 2022-02-01T16:02:51.000Z |
# Behaviors
#these are uncontrollerd choices of users in the provider consumer
def consumer_choice(params, step, history, current_state):
#fiat paid by consumers
#note: balance of consumption vol covered in tokens (computed later)
#simple heuristic ~ the fraction of token payment is proportion to free... | 35.517241 | 88 | 0.718447 |
c7707a54652106b5e16d0e8621ec909c7c1b35c5 | 696 | py | Python | frappe-bench/apps/erpnext/erpnext/agriculture/doctype/disease/disease.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:55:29.000Z | 2021-04-29T14:55:29.000Z | frappe-bench/apps/erpnext/erpnext/agriculture/doctype/disease/disease.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/agriculture/doctype/disease/disease.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:39:01.000Z | 2021-04-29T14:39:01.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2017, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe import _
from frappe.model.document import Document
from frappe import _
class Disease(Document):
def valida... | 34.8 | 93 | 0.751437 |
c7bddef15357fa213b594cd8ef69c37916a21a6e | 556 | py | Python | PYTHON/Sets/mutations.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | PYTHON/Sets/mutations.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | PYTHON/Sets/mutations.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import sys
if __name__ == '__main__':
SA = int(input())
A = set(map(int, input().split()))
for _ in range(int(input())):
S = input().split()
B = set(map(int, input().split()))
if S[0] == 'intersection_update':
A.intersection_update(B)
eli... | 26.47619 | 51 | 0.539568 |
401ac748f356d8d325e267500fbea8301164eca2 | 218 | py | Python | frappe-bench/apps/erpnext/erpnext/manufacturing/doctype/operation/test_operation.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/manufacturing/doctype/operation/test_operation.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/manufacturing/doctype/operation/test_operation.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | # Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# See license.txt
import frappe
import unittest
test_records = frappe.get_test_records('Operation')
class TestOperation(unittest.TestCase):
pass
| 19.818182 | 68 | 0.793578 |
90d9259f94d8fe6840c6583111079e696772d47a | 1,384 | py | Python | 7-assets/past-student-repos/Whiteboard-Pairing-master/ClimbingStairs/model_solution.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | 13 | 2021-03-11T00:25:22.000Z | 2022-03-19T00:19:23.000Z | 7-assets/past-student-repos/Whiteboard-Pairing-master/ClimbingStairs/model_solution.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | 160 | 2021-04-26T19:04:15.000Z | 2022-03-26T20:18:37.000Z | 7-assets/past-student-repos/Whiteboard-Pairing-master/ClimbingStairs/model_solution.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | 12 | 2021-04-26T19:43:01.000Z | 2022-01-31T08:36:29.000Z | # Naive Recursive Solution
#
# Simple and intuitive, but has a runtime
# of O(3^n) due to the three recursive calls
# Successive calls also repeat a lot of work
def naive_climb_stairs(n):
# base case 1
if n < 0:
return 0
# base case 2
elif n == 0:
return 1
# move towards our base ... | 30.086957 | 125 | 0.677746 |
293f5ac5ff9638321c6d679abb6e789706e796b6 | 1,694 | py | Python | python_gui_tkinter/Tkinter/TkinterCourse/38_textwid2.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python_gui_tkinter/Tkinter/TkinterCourse/38_textwid2.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python_gui_tkinter/Tkinter/TkinterCourse/38_textwid2.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | from tkinter import *
root = Tk()
S = Scrollbar(root)
T = Text(root, height=4, width=50)
S.pack(side=RIGHT, fill=Y)
T.pack(side=LEFT, fill=Y)
S.config(command=T.yview)
T.config(yscrollcommand=S.set)
quote = """
lorem ipsum doletlorem ipsum doletlorem ipsum doletlorem ipsum dolet
lorem ipsum doletlorem ipsum dolet lore... | 36.826087 | 85 | 0.769185 |
4668b0af2b8bf90bec88669361c19873b1d520d4 | 2,527 | py | Python | tests/test_renderer.py | KeepSafe/html-structure-diff | 83ea2b8ad4b78b140bb5f69e3f2966c9fda01a89 | [
"Apache-2.0"
] | 3 | 2016-05-10T13:57:14.000Z | 2016-09-29T21:01:53.000Z | tests/test_renderer.py | KeepSafe/html-structure-diff | 83ea2b8ad4b78b140bb5f69e3f2966c9fda01a89 | [
"Apache-2.0"
] | 3 | 2015-10-20T22:29:37.000Z | 2022-01-18T18:20:06.000Z | tests/test_renderer.py | KeepSafe/html-structure-diff | 83ea2b8ad4b78b140bb5f69e3f2966c9fda01a89 | [
"Apache-2.0"
] | 1 | 2016-11-05T04:23:05.000Z | 2016-11-05T04:23:05.000Z | from unittest import TestCase
from sdiff.renderer import TextRenderer, HtmlRenderer
from sdiff.model import *
from .fixtures import trees
class TestTextRenderer(TestCase):
def setUp(self):
self.renderer = TextRenderer()
def test_paragraph(self):
actual = self.renderer.render(trees.pt())
... | 32.397436 | 104 | 0.651365 |
d3cfc3adcac4023cfd3b321afc80d714e640b570 | 2,489 | py | Python | python/sbtab_sbml2sbtab.py | derHahn/SBtab | da998eacc49f7f29d8168be366eb0c211c3adb5f | [
"MIT"
] | 4 | 2015-02-20T09:20:10.000Z | 2018-02-05T10:54:10.000Z | python/sbtab_sbml2sbtab.py | tlubitz/SBtab | da998eacc49f7f29d8168be366eb0c211c3adb5f | [
"MIT"
] | 80 | 2018-04-13T13:46:24.000Z | 2022-02-16T16:01:46.000Z | python/sbtab_sbml2sbtab.py | tlubitz/SBtab | da998eacc49f7f29d8168be366eb0c211c3adb5f | [
"MIT"
] | 6 | 2018-06-06T19:55:32.000Z | 2021-09-30T15:16:40.000Z | #!/usr/bin/env python
"""
SBML to SBtab / ObjTables converter commandline wrapper
===================================
See specification for further information.
"""
try:
from . import SBtab
from . import misc
from . import sbml2sbtab
except:
import SBtab
import misc
import sbml2sbtab
import li... | 28.94186 | 132 | 0.594215 |
313e11bdaff68e0a233325ab0bf110255071e5b4 | 17,629 | py | Python | Packs/FortiSandbox/Integrations/FortiSandbox/FortiSandbox.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/FortiSandbox/Integrations/FortiSandbox/FortiSandbox.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/FortiSandbox/Integrations/FortiSandbox/FortiSandbox.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import demistomock as demisto # noqa: F401
from CommonServerPython import * # noqa: F401
"""IMPORTS"""
import base64
import hashlib
import json
import os
import shutil
import requests
# Disable insecure warnings
requests.packages.urllib3.disable_warnings()
"""HELPER FUNCTIONS"""
def _handle_post(post_url, data... | 34.098646 | 117 | 0.544047 |
81f3545806eef5722c3215f47e05720429a35af3 | 4,937 | py | Python | Dockerfiles/gedlab-khmer-filter-abund/pymodules/python2.7/lib/python/screed-0.7.1-py2.7.egg/screed/pygr_api.py | poojavade/Genomics_Docker | 829b5094bba18bbe03ae97daf925fee40a8476e8 | [
"Apache-2.0"
] | 1 | 2019-07-29T02:53:51.000Z | 2019-07-29T02:53:51.000Z | Dockerfiles/gedlab-khmer-filter-abund/pymodules/python2.7/lib/python/screed-0.7.1-py2.7.egg/screed/pygr_api.py | poojavade/Genomics_Docker | 829b5094bba18bbe03ae97daf925fee40a8476e8 | [
"Apache-2.0"
] | 1 | 2021-09-11T14:30:32.000Z | 2021-09-11T14:30:32.000Z | Dockerfiles/gedlab-khmer-filter-abund/pymodules/python2.7/lib/python/screed-0.7.1-py2.7.egg/screed/pygr_api.py | poojavade/Genomics_Docker | 829b5094bba18bbe03ae97daf925fee40a8476e8 | [
"Apache-2.0"
] | 2 | 2016-12-19T02:27:46.000Z | 2019-07-29T02:53:54.000Z | # Copyright (c) 2008-2010, Michigan State University
"""
A simple wrapper implementing a pygr-compatible SequenceDB based on screed.
There are two implementions:
- ScreedSequenceDB
- ScreedSequenceDB_ByIndex
ScreedSequenceDB uses the sequence name as the sequence ID, which
mimics the behavior of pygr's SequenceFil... | 30.103659 | 79 | 0.676322 |
48b621125f715de25be1eea7613f7e3566600965 | 5,861 | py | Python | src/onegov/fsi/layouts/notification.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/fsi/layouts/notification.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/fsi/layouts/notification.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from collections import namedtuple
from cached_property import cached_property
from onegov.core.elements import Link
from onegov.fsi.collections.course_event import CourseEventCollection
from onegov.fsi.collections.notification_template import \
CourseNotificationTemplateCollection
from onegov.fsi.layout import D... | 29.751269 | 73 | 0.631462 |
8299185a132318ae6b977c3b60cfbaa89695e508 | 1,821 | py | Python | project/services/reference.py | DanielGrams/gsevp | e94034f7b64de76f38754b56455e83092378261f | [
"MIT"
] | 1 | 2021-06-01T14:49:18.000Z | 2021-06-01T14:49:18.000Z | project/services/reference.py | DanielGrams/gsevp | e94034f7b64de76f38754b56455e83092378261f | [
"MIT"
] | 286 | 2020-12-04T14:13:00.000Z | 2022-03-09T19:05:16.000Z | project/services/reference.py | DanielGrams/gsevpt | a92f71694388e227e65ed1b24446246ee688d00e | [
"MIT"
] | null | null | null | from sqlalchemy import and_
from sqlalchemy.orm import load_only
from project import db
from project.models import (
AdminUnitRelation,
Event,
EventReference,
EventReferenceRequest,
EventReferenceRequestReviewStatus,
)
def create_event_reference_for_request(request):
result = EventReference.q... | 27.590909 | 88 | 0.715541 |
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