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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a2f660894a3d10df1c7a71e0782ffb017a97f802 | 15f321878face2af9317363c5f6de1e5ddd9b749 | /solutions_python/Problem_201/2972.py | 2fd708180642ad8b97474fbea1db1b2ae25b8eec | [] | no_license | dr-dos-ok/Code_Jam_Webscraper | c06fd59870842664cd79c41eb460a09553e1c80a | 26a35bf114a3aa30fc4c677ef069d95f41665cc0 | refs/heads/master | 2020-04-06T08:17:40.938460 | 2018-10-14T10:12:47 | 2018-10-14T10:12:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 751 | py | def yz(s, stalls):
g = len(stalls)
l = 0
r = 0
while True:
if s+r+1 >= g:
break
if stalls[s+r+1] == 0:
r += 1
else:
break
while True:
if s-l-1 < 0:
break
if stalls[s-l-1] == 0:
l += 1
else:
break
return (min(l,r), max(l,r))
for _ in range(int(in... | [
"miliar1732@gmail.com"
] | miliar1732@gmail.com |
cf7c207170b97bd72c6456a05b66eb280835a058 | a2d36e471988e0fae32e9a9d559204ebb065ab7f | /huaweicloud-sdk-cdn/huaweicloudsdkcdn/v1/model/follow302_status_body.py | 609f30a679e4f7051de995d36eec1c97b7acb914 | [
"Apache-2.0"
] | permissive | zhouxy666/huaweicloud-sdk-python-v3 | 4d878a90b8e003875fc803a61414788e5e4c2c34 | cc6f10a53205be4cb111d3ecfef8135ea804fa15 | refs/heads/master | 2023-09-02T07:41:12.605394 | 2021-11-12T03:20:11 | 2021-11-12T03:20:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,938 | py | # coding: utf-8
import re
import six
from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
class Follow302StatusBody:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The ke... | [
"hwcloudsdk@huawei.com"
] | hwcloudsdk@huawei.com |
74e4a49f5cc0b6f968eed7f58149de37464fd37b | f5fa77d99d31d4e8fef2648b83e9d988123be118 | /hanser/models/detection/gfocal.py | 841fdaa8c0c56a3fb85d366cebad9e3746961704 | [] | no_license | sbl1996/hanser | 6ff5362f6909c4ba717c10b5f7baf31a41b70531 | 21c6f9470dd21a5b2e7a18318f40314a34053822 | refs/heads/master | 2022-06-04T03:46:39.034645 | 2022-05-21T03:34:08 | 2022-05-21T03:34:08 | 197,355,428 | 12 | 2 | null | null | null | null | UTF-8 | Python | false | false | 3,415 | py | import numpy as np
import tensorflow as tf
from tensorflow.keras import Sequential
from tensorflow.keras.initializers import RandomNormal, Zeros
from hanser.ops import safe_softmax, top_k
from hanser.models.layers import Linear
from hanser.models.detection.detector import SingleStageDetector
from hanser.models.detect... | [
"sbl1996@126.com"
] | sbl1996@126.com |
e8aa80bf6d288ff8e7a87cbdf26ee0b74daf3509 | d094ba0c8a9b1217fbf014aa79a283a49aabe88c | /env/lib/python3.6/site-packages/sympy/physics/units/systems/natural.py | 124392e550ae5effd4ffc8ef3c5ef72af017eec4 | [
"Apache-2.0"
] | permissive | Raniac/NEURO-LEARN | d9274e0baadd97bb02da54bdfcf6ca091fc1c703 | 3c3acc55de8ba741e673063378e6cbaf10b64c7a | refs/heads/master | 2022-12-25T23:46:54.922237 | 2020-09-06T03:15:14 | 2020-09-06T03:15:14 | 182,013,100 | 9 | 2 | Apache-2.0 | 2022-12-09T21:01:00 | 2019-04-18T03:57:00 | CSS | UTF-8 | Python | false | false | 931 | py | # -*- coding: utf-8 -*-
# -*- coding: utf-8 -*-
"""
Naturalunit system.
The natural system comes from "setting c = 1, hbar = 1". From the computer
point of view it means that we use velocity and action instead of length and
time. Moreover instead of mass we use energy.
"""
from __future__ import division
from sympy... | [
"leibingye@outlook.com"
] | leibingye@outlook.com |
95e03440d89285f10df39b55be1fd06e80e3332f | c16ea32a4cddb6b63ad3bacce3c6db0259d2bacd | /google/ads/googleads/v4/googleads-py/google/ads/googleads/v4/enums/types/user_list_type.py | 64bb9c0c18d0075bb477ea405690a9c7d7888bd2 | [
"Apache-2.0"
] | permissive | dizcology/googleapis-gen | 74a72b655fba2565233e5a289cfaea6dc7b91e1a | 478f36572d7bcf1dc66038d0e76b9b3fa2abae63 | refs/heads/master | 2023-06-04T15:51:18.380826 | 2021-06-16T20:42:38 | 2021-06-16T20:42:38 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,201 | py | # -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# 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... | [
"bazel-bot-development[bot]@users.noreply.github.com"
] | bazel-bot-development[bot]@users.noreply.github.com |
f07ab92ea930bbe7555bfa5f6e2cbebf127da184 | 81b0e6fe7a6e56ed8a91748499b81ddd3f2e45f8 | /GAN/mnist_inforgan.py | ae5cfe025134b4efad95451acb734d8a7928f906 | [] | no_license | shieldforever/DeepLearning | cfef817602b9677df4df4c1b87e60c5e91f2315a | b8080938a4b22395379be9032266df36cb5491e6 | refs/heads/master | 2021-01-05T14:12:26.110888 | 2019-10-29T11:23:06 | 2019-10-29T11:23:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,069 | py | # -*- coding: utf-8 -*-
"""
Created on Mon May 20 19:39:36 2019
@author: Administrator
"""
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
from scipy.stats import norm
import tensorflow.contrib.slim as slim
from tensorflow.examples.tutorials.mnist import input_data
mnist=input_data.read_da... | [
"870407139@qq.com"
] | 870407139@qq.com |
e97dfd3726227b91404d69a2d8fec5bbd24c4630 | 0550c08cee19be891fde34fa109b5a4ad9f07e3a | /findingshared/findingshared.py | d97a6a0b84b2d5e368e82c243576bb1cbec62235 | [] | no_license | bendavidsteel/rosalind-solutions | 92653c49d8ef938306ac1289ccb4e4cfe4b8d3ae | 0749f2662efcac62383a8476ce13fcdd039928b1 | refs/heads/master | 2020-03-28T04:17:00.959446 | 2018-09-06T21:32:06 | 2018-09-06T21:32:06 | 147,705,059 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 643 | py | maxlen = 2
maxstring = ""
def jloop
with open('sample.txt') as stringfile:
data = stringfile.read().split('\n')[1::2]
for i in range(len(min(data, key=len))):
for n in range(maxlen, len(min(data, key=len))):
for j in range(1, len(data)):
print(j)
print(data[0][i:i+n])
... | [
"bendavidsteel@gmail.com"
] | bendavidsteel@gmail.com |
357746ec09b140827b2d7be08c9a9f27e7a7f71f | fce76a80bafa84b188fd9761d769f79dd712d79c | /JH_RestAPI/jobapps/migrations/0012_jobapplicationnote.py | 695d6185dc04b277ff8709a9c32c427aca09ecbf | [] | no_license | komal14prasad/backend | 547110ddb16f4ad16be7f3aebd87ad2cea52ee2f | 4a915f2e744c5697d8a90a59e358c1ce94b47d69 | refs/heads/master | 2020-05-22T02:34:21.237812 | 2019-05-12T03:36:22 | 2019-05-12T03:36:22 | 186,200,468 | 0 | 0 | null | 2019-05-12T02:03:13 | 2019-05-12T02:03:12 | null | UTF-8 | Python | false | false | 912 | py | # Generated by Django 2.1.5 on 2019-03-18 03:05
import datetime
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('jobapps', '0011_auto_20190210_1053'),
]
operations = [
migrations.CreateModel(
... | [
"sdemirci55@gmail.com"
] | sdemirci55@gmail.com |
e6cb8f8f82846c0b57397552dae31ee75edf7f6f | 5e2dddce9c67d5b54d203776acd38d425dbd3398 | /spacy/lang/ca/__init__.py | d25d40e257fd706cc679a013ba3733ee90462e07 | [
"MIT"
] | permissive | yuxuan2015/spacy_zh_model | 8164a608b825844e9c58d946dcc8698853075e37 | e89e00497ab3dad0dd034933e25bc2c3f7888737 | refs/heads/master | 2020-05-15T11:07:52.906139 | 2019-08-27T08:28:11 | 2019-08-27T08:28:11 | 182,213,671 | 1 | 0 | null | 2019-04-19T06:27:18 | 2019-04-19T06:27:17 | null | UTF-8 | Python | false | false | 2,297 | py | # coding: utf8
from __future__ import unicode_literals
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
from .stop_words import STOP_WORDS
from .lex_attrs import LEX_ATTRS
# uncomment if files are available
# from .norm_exceptions import NORM_EXCEPTIONS
# from .tag_map import TAG_MAP
# from .morph_rul... | [
"yuxuan2015@example.com"
] | yuxuan2015@example.com |
61004a97a2ccdbbd703c0335da0142a4d4b5ed9e | 9743d5fd24822f79c156ad112229e25adb9ed6f6 | /xai/brain/wordbase/otherforms/_glazed.py | 4b9d651bd336809ed5c8db024f25696635fdae74 | [
"MIT"
] | permissive | cash2one/xai | de7adad1758f50dd6786bf0111e71a903f039b64 | e76f12c9f4dcf3ac1c7c08b0cc8844c0b0a104b6 | refs/heads/master | 2021-01-19T12:33:54.964379 | 2017-01-28T02:00:50 | 2017-01-28T02:00:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 218 | py |
#calss header
class _GLAZED():
def __init__(self,):
self.name = "GLAZED"
self.definitions = glaze
self.parents = []
self.childen = []
self.properties = []
self.jsondata = {}
self.basic = ['glaze']
| [
"xingwang1991@gmail.com"
] | xingwang1991@gmail.com |
c2e58269c8af68e51587b23ce08e779eb9fc0c3e | 4b9f2d543755cf5ab9e1ddeab46e123b5a3e73ee | /lect05_52-week_saving_challenge/money_challenge_v4.0.py | 3d6c292351487772efecae124d9eeac25207b03a | [] | no_license | guolikai/mypython | ff8e3bbc22e346d90126b551b945909d64c4bb3e | 7c4003e5a70d306b34a102b3b32c667898c5e9c8 | refs/heads/master | 2022-12-25T06:52:06.253960 | 2020-09-30T13:53:09 | 2020-09-30T13:53:09 | 82,179,405 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,372 | py | """
作者：GuoLikai
功能：52周存钱挑战
版本：3.0
日期：05/08/2018
2.0增加功能：记录每周的存款数
3.0增加功能：使用循环直接计数
4.0增加功能：灵活设置每周的存款数，增加的存款数及存款周数
"""
import math
def save_money_in_n_weeks(money_per_week, increase_money, total_week):
"""
计算n周内的存款金额
"""
money_list = [] # 记录每周存款数的列表
... | [
"glk73748196@sina.com"
] | glk73748196@sina.com |
cbd162117e95a560810e5d1c96b3b9c5300777c2 | 52b5773617a1b972a905de4d692540d26ff74926 | /.history/fish1_20200804200900.py | 7517919c0ab14ea3f149b1054c468da0ce11e9e1 | [] | no_license | MaryanneNjeri/pythonModules | 56f54bf098ae58ea069bf33f11ae94fa8eedcabc | f4e56b1e4dda2349267af634a46f6b9df6686020 | refs/heads/master | 2022-12-16T02:59:19.896129 | 2020-09-11T12:05:22 | 2020-09-11T12:05:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 697 | py | def fish(A,B):
# where A represent the size of fish and B represents the direction of fish
aliveFish = len(A)
bigFish = 0
indexFish = None
j = 0
while j < len(B)-1:
if B[j] == 1 and B[j+1] !=1:
if A[j] > A[j+1]:
if A[j] > bigFish:
b... | [
"mary.jereh@gmail.com"
] | mary.jereh@gmail.com |
a3d019059a08c7f50daa263ad9a29b74d90f96d7 | 49663ea34b41c8180d7484f778f5cad2e701d220 | /tests/dualtor/test_server_failure.py | 07c2bf67601fef2bf59b1e15b84bc027badc9c60 | [
"LicenseRef-scancode-generic-cla",
"Apache-2.0"
] | permissive | stepanblyschak/sonic-mgmt | ed08c98e7bff1615b057daa8711686aa5986073d | a1ae1e0b4e9927e6f52916f76121780d19ec3e54 | refs/heads/master | 2023-04-07T01:30:11.403900 | 2023-03-29T10:16:52 | 2023-03-29T10:16:52 | 135,678,178 | 0 | 0 | NOASSERTION | 2023-03-29T16:13:55 | 2018-06-01T06:41:49 | Python | UTF-8 | Python | false | false | 3,378 | py | import pytest
from tests.common.dualtor.mux_simulator_control import toggle_simulator_port_to_upper_tor, \
simulator_flap_counter, simulator_server_down # noqa F401
from tests.common.helpers.assertions import pytest_assert, pytest_require
from tests.common.dualt... | [
"noreply@github.com"
] | stepanblyschak.noreply@github.com |
7e79e805f44cd3ea15b84a2b395d30fbdc293fdd | e569aaa98d90ebfed429da9f1e8697b6122c66f9 | /ecoroofs/locations/migrations/0008_add_point_obscured_to_location_model.py | fd5dab8a0eab3b0b2cab506c1d8508d2dfc692c2 | [] | no_license | PSU-OIT-ARC/ecoroofs | 4f4a5df0b15faf8d4442155e7a70104a2c25b44f | e7acf776dbd19e90e22635424808c8c6807d7572 | refs/heads/develop | 2020-05-21T16:16:48.799309 | 2017-11-08T21:31:36 | 2017-11-08T21:31:36 | 64,701,178 | 0 | 3 | null | 2017-07-24T19:06:49 | 2016-08-01T20:59:05 | Python | UTF-8 | Python | false | false | 422 | py | import django.contrib.gis.db.models.fields
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('locations', '0007_add_year_built_to_location_model'),
]
operations = [
migrations.AddField(
model_name='location',
name='point_obs... | [
"wbaldwin@pdx.edu"
] | wbaldwin@pdx.edu |
5a89b194f60aa6e8e7016670b169d895bdfd01e1 | c5458f2d53d02cb2967434122183ed064e1929f9 | /sdks/python/test/test_spending_proof.py | c58e33d52c302a1ce178f05e03d2ef9822171fd3 | [] | no_license | ross-weir/ergo-node-api-sdks | fd7a32f79784dbd336ef6ddb9702b9dd9a964e75 | 9935ef703b14760854b24045c1307602b282c4fb | refs/heads/main | 2023-08-24T05:12:30.761145 | 2021-11-08T10:28:10 | 2021-11-08T10:28:10 | 425,785,912 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 782 | py | """
Ergo Node API
API docs for Ergo Node. Models are shared between all Ergo products # noqa: E501
The version of the OpenAPI document: 4.0.15
Contact: ergoplatform@protonmail.com
Generated by: https://openapi-generator.tech
"""
import sys
import unittest
import openapi_client
from openapi_cli... | [
"29697678+ross-weir@users.noreply.github.com"
] | 29697678+ross-weir@users.noreply.github.com |
d23250f1b6b7e554bdf137997e2f02efa56feb70 | de24f83a5e3768a2638ebcf13cbe717e75740168 | /moodledata/vpl_data/63/usersdata/230/28357/submittedfiles/swamee.py | e5f429c7808c600df6e2cb6d975c9662a428b88e | [] | no_license | rafaelperazzo/programacao-web | 95643423a35c44613b0f64bed05bd34780fe2436 | 170dd5440afb9ee68a973f3de13a99aa4c735d79 | refs/heads/master | 2021-01-12T14:06:25.773146 | 2017-12-22T16:05:45 | 2017-12-22T16:05:45 | 69,566,344 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 505 | py | # -*- coding: utf-8 -*-
import math
#COMECE SEU CÓDIGO AQUI
f = float(input('Digite o valor de f: '))
L = float(input('Digite o valor de L: '))
Q = float(input('Digite o valor de Q: '))
DeltaH = float(input('Digite o valor de DeltaH: '))
v = float(input('Digite o valor de v: '))
g = 9.81
E = 0.000002
D = (8*f*L*(Q**2)/... | [
"rafael.mota@ufca.edu.br"
] | rafael.mota@ufca.edu.br |
db4640a338afe81eaf782bac82394116670bbc95 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p02804/s938106196.py | e07f2d428fc7a4fa2bbc75241a67288a2325428b | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 143 | py | n,k,*l=map(int,open(0).read().split());l.sort();c,a,M=1,0,10**9+7
for i in range(k-1,n):a+=c*(l[i]-l[~i]);c=c*-~i*pow(i-k+2,M-2,M)%M
print(a%M) | [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
e3b56cb7ad8f137d9438e36fdcaa4d4aeb773562 | 0a089d954518ef4a8f6aecf7097af8124e425d7e | /everest/tests/complete_app/resources.py | 3b0e03d850c91b76cc8b9fb22d05059d17c439e1 | [
"MIT"
] | permissive | papagr/everest | b13c06834ae38a5d441a9fd1c938d495ceca6e20 | 70c9b93c3061db5cb62428349d18b8fb8566411b | refs/heads/master | 2021-05-28T16:55:23.021924 | 2015-02-17T09:21:03 | 2015-02-17T09:21:03 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,060 | py | """
This file is part of the everest project.
See LICENSE.txt for licensing, CONTRIBUTORS.txt for contributor information.
Created on Dec 1, 2011.
"""
from everest.resources.base import Member
from everest.resources.descriptors import attribute_alias
from everest.resources.descriptors import collection_attribute
from... | [
"fogathmann@gmail.com"
] | fogathmann@gmail.com |
d83c4645ef7cc9f79a7c70d11198e76aad49ad85 | 9eaa17f50df49e5c6d204a7a7ece52f94c10b30b | /d3rlpy/algos/torch/utility.py | f431a78d8326da7fcd4c9ff7492d1147190162df | [
"MIT"
] | permissive | mchetouani/d3rlpy | 08d452ea2c8735b679a02474a3ae512caf91250a | 53ccf604298568b3a8322bb6f38bc33c0ac04ca2 | refs/heads/master | 2023-02-03T15:19:23.620608 | 2020-11-29T02:25:34 | 2020-11-29T02:25:34 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,435 | py | import torch
import numpy as np
from inspect import signature
def soft_sync(targ_model, model, tau):
with torch.no_grad():
params = model.parameters()
targ_params = targ_model.parameters()
for p, p_targ in zip(params, targ_params):
p_targ.data.mul_(1 - tau)
p_targ.... | [
"takuma.seno@gmail.com"
] | takuma.seno@gmail.com |
612311f401562e6479a566b357190ad038ebd82e | a303cea3e4a5b9d774700111954b837e11ce8f64 | /Werkgroep API beveiliging/Implementaties/poc-oauth-python/web/woco_irma/woco_irma/wsgi.py | 910342af165b65cd78403f3a1559593c0eb7855a | [] | no_license | HenriKorver/KP-APIs | ee639ad9409b12710f6296e6cbf5d861b6d91571 | 3dde9bebf63c35b036145771ebf22d0851a5378c | refs/heads/master | 2021-06-12T05:22:10.712394 | 2021-06-09T14:55:41 | 2021-06-09T14:55:41 | 174,525,243 | 0 | 0 | null | 2019-05-16T15:06:41 | 2019-03-08T11:24:08 | HTML | UTF-8 | Python | false | false | 395 | py | """
WSGI config for woco_irma project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/2.1/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_SET... | [
"sergei@maykinmedia.nl"
] | sergei@maykinmedia.nl |
1d8e81008f94de9bc956344891d46ea12658172d | bbed0e21b241c6a39341fed7d058563c30e2e0a4 | /tests/trainer/warnings_tests/test_flow_warnings.py | f5328d44020d717de90fa564f4c03c177fc40aa4 | [
"Apache-2.0",
"LicenseRef-scancode-proprietary-license"
] | permissive | haven-jeon/pytorch-lightning | 656917a6cace5c3723d951f84515e8cb74a0ec79 | 6b9362bb73ada4c8702def43fe8f27eb3c382540 | refs/heads/master | 2023-02-23T18:29:08.298601 | 2021-01-28T07:42:14 | 2021-01-28T07:42:14 | 325,184,155 | 2 | 0 | Apache-2.0 | 2021-01-28T07:42:15 | 2020-12-29T04:19:44 | Python | UTF-8 | Python | false | false | 1,453 | py | # Copyright The PyTorch Lightning team.
#
# 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 i... | [
"noreply@github.com"
] | haven-jeon.noreply@github.com |
630f388259ee71dd9d1b0b441c0117db73ee9b8d | 98c6ea9c884152e8340605a706efefbea6170be5 | /examples/data/Assignment_9/frnpau013/question2.py | 71396f2476198ce3175c7385e66de6c4fc587b0d | [] | no_license | MrHamdulay/csc3-capstone | 479d659e1dcd28040e83ebd9e3374d0ccc0c6817 | 6f0fa0fa1555ceb1b0fb33f25e9694e68b6a53d2 | refs/heads/master | 2021-03-12T21:55:57.781339 | 2014-09-22T02:22:22 | 2014-09-22T02:22:22 | 22,372,174 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,745 | py | def line_maker(string, length):
if len(string) > length:
line = string[0:length]
if line[-1] != " " and string[len(line)] != " ":
while line[-1] != " ":
line = delete_till_space(line)
line = line[:-1]
return line, string[len(line) + 1:]
... | [
"jarr2000@gmail.com"
] | jarr2000@gmail.com |
0da64247f2f05b4d47521f6362ed1d6f94bae56f | 725ac5a0bf72829be627bf8dc82fdc51ba0f94ae | /Text_Classification/multi_label_classify_bert/inference.py | 6517992e9a21b0f516d22a671658ec98435a63c4 | [] | no_license | shawroad/NLP_pytorch_project | fa14b6e4a156229765e1d552901d0492d8e1def3 | 1272fed2dc8fef78a9ded0f1ae1644d613a3b57b | refs/heads/master | 2023-06-25T02:37:35.503251 | 2023-06-12T10:57:11 | 2023-06-12T10:57:11 | 229,694,655 | 530 | 104 | null | 2020-12-08T09:21:47 | 2019-12-23T06:54:29 | Python | UTF-8 | Python | false | false | 2,940 | py | """
@file : inference.py
@author : xiaolu
@email : luxiaonlp@163.com
@time : 2021-06-23
"""
import torch
from tqdm import tqdm
import pandas as pd
from model import Model
from config import set_args
from torch.utils.data import Dataset, DataLoader
from transformers.models.bert import BertTokenizer
class MyDatase... | [
"luxiaonlp@163.com"
] | luxiaonlp@163.com |
e0ae3f8df1d6dacc769316b76657cf29b105ce4a | eaf2b6edff6d1020cf24028cf1d2f1df42b5a263 | /420-strong-password-checker/strong-password-checker.py | ec3726dbb2c42aaff8d8787e5b69e2cfdbaaf1a6 | [] | no_license | zhangoneone/leetcode | 1ac1a960d7aff5b6b8ddb85a48efc4f6c49c582c | 3f8632e5b436293c304e6df6326adc556be6b842 | refs/heads/master | 2020-04-21T06:57:47.415724 | 2018-12-20T01:33:58 | 2018-12-20T01:33:58 | 169,380,067 | 2 | 0 | null | 2019-02-06T09:17:31 | 2019-02-06T09:17:31 | null | UTF-8 | Python | false | false | 1,950 | py | # -*- coding:utf-8 -*-
# A password is considered strong if below conditions are all met:
#
#
# It has at least 6 characters and at most 20 characters.
# It must contain at least one lowercase letter, at least one uppercase letter, and at least one digit.
# It must NOT contain three repeating characters in a ... | [
"foreverbonfy@163.com"
] | foreverbonfy@163.com |
92b27e668bf00bfed941b76018d92906c856691a | 9f1039075cc611198a988034429afed6ec6d7408 | /tensorflow-stubs/contrib/boosted_trees/estimator_batch/custom_loss_head.pyi | 9cfa47bc65db82426ee6bf56237e1355c15c69f7 | [] | no_license | matangover/tensorflow-stubs | 9422fbb1cb3a3638958d621461291c315f9c6ec2 | 664bd995ef24f05ba2b3867d979d23ee845cb652 | refs/heads/master | 2020-05-23T12:03:40.996675 | 2019-05-15T06:21:43 | 2019-05-15T06:21:43 | 186,748,093 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 675 | pyi | # Stubs for tensorflow.contrib.boosted_trees.estimator_batch.custom_loss_head (Python 3)
#
# NOTE: This dynamically typed stub was automatically generated by stubgen.
from tensorflow.contrib.learn.python.learn.estimators import head as head_lib
from tensorflow.python.framework import dtypes as dtypes
from tensorflow.p... | [
"matangover@gmail.com"
] | matangover@gmail.com |
d29e818b1a22fbe66308e12cac57776e2206777c | d94b78aeb8f7ea79545397f15b8b6d5a4b3e1635 | /test5.py | 916f2676d49ac4604269084f64e1708bedd82ce1 | [] | no_license | levylll/leetcode | 6a32c547c6a0d5aa07126a2ddc46b03b998ae5ad | 319f73e931b081fbf817769da5596c8eefd830a3 | refs/heads/master | 2021-06-19T01:30:03.113632 | 2021-06-11T07:46:02 | 2021-06-11T07:46:02 | 174,638,986 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,342 | py | class Solution(object):
def gen_p1(self, idx, s):
tmp_max = s[idx]
move = 1
while True:
if idx - move >= 0 and idx + move < len(s) and s[idx-move] == s[idx+move]:
tmp_max = s[idx-move] + tmp_max + s[idx+move]
move += 1
else:
... | [
"levylll@163.com"
] | levylll@163.com |
17c670a09a49ec13333d28a5078af3403e9357e3 | 72765a898e97d308c50a8b309b049d568fbbb622 | /examples/bio2bioes.py | 184bb58b88326fc54511acdb064c7ad1b0c3e6b6 | [] | no_license | gswyhq/bert4keras | 95a2fbdfbe49edb55ff56e8b1d75fd0432c440fb | e71a3acdc89b76f90e4d45527d228cc423f7cf1e | refs/heads/master | 2020-08-14T00:50:16.613380 | 2020-04-13T12:57:48 | 2020-04-13T12:57:48 | 215,066,934 | 0 | 0 | null | 2019-10-14T14:34:37 | 2019-10-14T14:34:37 | null | UTF-8 | Python | false | false | 2,114 | py | #!/usr/bin/python3
# coding: utf-8
import os
import sys
import unicodedata
def generator_load_data(data_path):
# print('读取文件：{}'.format(data_path))
with open(data_path, "r") as f:
text = f.readline()
while text:
text = unicodedata.normalize('NFKD', text).strip()
if '/' ... | [
"gswyhq@126.com"
] | gswyhq@126.com |
f9d1ff55ba1de3c5bd0d2a7619b945862ecc9e1f | f9d564f1aa83eca45872dab7fbaa26dd48210d08 | /huaweicloud-sdk-hilens/huaweicloudsdkhilens/v3/model/create_task_request.py | 363ab85585e3ef85232d5c1955b7bd770a145264 | [
"Apache-2.0"
] | permissive | huaweicloud/huaweicloud-sdk-python-v3 | cde6d849ce5b1de05ac5ebfd6153f27803837d84 | f69344c1dadb79067746ddf9bfde4bddc18d5ecf | refs/heads/master | 2023-09-01T19:29:43.013318 | 2023-08-31T08:28:59 | 2023-08-31T08:28:59 | 262,207,814 | 103 | 44 | NOASSERTION | 2023-06-22T14:50:48 | 2020-05-08T02:28:43 | Python | UTF-8 | Python | false | false | 4,181 | py | # coding: utf-8
import six
from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
class CreateTaskRequest:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute ... | [
"hwcloudsdk@huawei.com"
] | hwcloudsdk@huawei.com |
11da6a73feea9cad9d0a412ebabf156cad4d81c4 | 193b35f8acaae37b43fe680bf9a6a3111db3b9c7 | /myPython/class/__hook__.py | d28d28c64b8393a75ad01283dd5c8b737bb64977 | [] | no_license | zerosum99/python_basic | 6726d0d5210fdff1e22f452470b515478f64b7cb | 4b9e2b3478472830d901748bd6a2ac84c3dcc684 | refs/heads/master | 2021-05-23T05:41:01.742846 | 2021-05-16T09:16:39 | 2021-05-16T09:16:39 | 94,850,543 | 4 | 3 | null | null | null | null | UTF-8 | Python | false | false | 1,427 | py | # -*- coding: utf-8 -*-
"""
Created on Wed Apr 06 16:41:23 2016
@author: 06411
"""
import abc
def interface(*attributes):
def decorator(Base):
def checker(Other):
return all(hasattr(Other, a) for a in attributes)
def ins_checker(Other):
if type(Other) == Base :
... | [
"myjlms99@gmail.com"
] | myjlms99@gmail.com |
86c71b01760e5102eb4d6243cbb87d4644df51c8 | bb88122fc4978b14e8a9b02d8c11f1ce67ea17d0 | /03_ML/m31_smote2_wine_quality.py | 0910ec5b43d9b87466d0691c7f65f194c02a62e3 | [] | no_license | star10919/Keras_ | c2c8a6f3d0e1a7ceba9e81dbc51ecfd12bd5fe78 | f3156b7db6e12feea075b46e94b09157f43a141c | refs/heads/main | 2023-08-17T22:44:54.324315 | 2021-10-24T02:47:00 | 2021-10-24T02:47:00 | 390,066,491 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,003 | py | ### 데이터 증폭(smote 사용) - acc보다 F1 score가 높아짐
# y 라벨 개수 가장 큰 거 기준으로 동일하게 맞춰줌
### k_neighbors 의 디폴트 5 : 각 라벨의 개수가 5보다 커야 증폭(smote) 가능해짐! / 아니면 k_neighbors의 값을 낮춰주면 됨
# => k_neighbors 값 줄이면 score 떨어짐(연산수 줄기 때문에)
from imblearn.over_sampling import SMOTE
from sklearn.datasets import load_wine
import pandas as pd
from xgbo... | [
"star10919@naver.com"
] | star10919@naver.com |
624b8b66742a21f03a4eaf8cd8f640fc0054d3f3 | f7be1846da14366ca8277dc3edc207766de838f0 | /ICPC Practice/minimum-distances.py | 0fdc9b8546501ad63e61fac9a7b45f125161e1d2 | [] | no_license | IsThatYou/Competitive-Programming | d440f9e78f8a982cd60aa8c81833b9e10208b29e | a924ac7087654402c7f7c4b62374c377178061ad | refs/heads/master | 2020-07-19T16:31:32.492635 | 2019-01-27T02:45:21 | 2019-01-27T02:45:21 | 73,759,128 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 287 | py | length = int(input().strip())
A = [int(A_temp) for A_temp in input().strip().split(' ')]
lowest = 2000
for i in range(length):
for j in range(i + 1, length):
if A[i] == A[j]:
dis = abs(j - i)
if dis < lowest:
lowest = dis
if lowest != 2000:
print(lowest)
else:
print(-1) | [
"junlinwang18@gmail.com"
] | junlinwang18@gmail.com |
af2ab744148c104fa9b235621f90b30107208a7a | 8c2de4da068ba3ed3ce1adf0a113877385b7783c | /hyperion/bin/pack-wav-rirs.py | 0017798894270af755bafa05e4a9b4fd9b86d2b2 | [
"Apache-2.0"
] | permissive | hyperion-ml/hyperion | a024c718c4552ba3a03aae2c2ca1b8674eaebc76 | c4c9eee0acab1ba572843373245da12d00dfffaa | refs/heads/master | 2023-08-28T22:28:37.624139 | 2022-03-25T16:28:08 | 2022-03-25T16:28:08 | 175,275,679 | 55 | 20 | Apache-2.0 | 2023-09-13T15:35:46 | 2019-03-12T18:40:19 | Python | UTF-8 | Python | false | false | 1,865 | py | #!/usr/bin/env python
"""
Copyright 2020 Jesus Villalba (Johns Hopkins University)
Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""
import sys
import os
from jsonargparse import (
ArgumentParser,
ActionConfigFile,
ActionParser,
namespace_to_dict,
)
import time
import logging
import math
... | [
"jesus.antonio.villalba@gmail.com"
] | jesus.antonio.villalba@gmail.com |
4bacc7bb356d16649339adbe3f7ae44936cef97b | b1cf54e4d6f969d9084160fccd20fabc12c361c2 | /leetcode/longest_substring.py | e189bb5bcce062b5ff99c66cba029c56af0f6dd4 | [] | no_license | zarkle/code_challenges | 88a53477d6f9ee9dd71577678739e745b9e8a694 | 85b7111263d4125b362184df08e8a2265cf228d5 | refs/heads/master | 2021-06-10T11:05:03.048703 | 2020-01-23T06:16:41 | 2020-01-23T06:16:41 | 136,668,643 | 0 | 1 | null | 2019-02-07T23:35:59 | 2018-06-08T21:44:26 | JavaScript | UTF-8 | Python | false | false | 1,746 | py | # https://leetcode.com/problems/longest-substring-without-repeating-characters/
# https://leetcode.com/problems/longest-substring-without-repeating-characters/solution/
# runtime 640 ms, 12.5%; memory 13.1 MB, 5.5%
class Solution:
def lengthOfLongestSubstring(self, s: str) -> int:
if not s:
re... | [
"beverly.pham@gmail.com"
] | beverly.pham@gmail.com |
082a6d27401dee260c30ad1efb445313ff63bd21 | c9d81b5d0b258b57a06a99f43a79dc1ecd219488 | /Test_1.py | 6b0a1b0fdce78cf79cfec3ab37a0739d156c579e | [] | no_license | babiswas/Python-Design-Patterns | 4f4851cc55ae1bee8828f099f2c2610a36f4e8d5 | ea6e417880bab26bded60c67188a12623f74639f | refs/heads/master | 2020-07-30T05:28:10.030541 | 2019-09-26T17:54:21 | 2019-09-26T17:54:21 | 210,102,717 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 919 | py | from abc import ABC,abstractmethod
class Pet:
@abstractmethod
def speak(self):
pass
@abstractmethod
def having_food(self):
pass
class Cat(Pet):
def __init__(self,name):
self.name=name
def speak(self):
print(f"{self.name} Mew Mew")
def having_food(self):
... | [
"noreply@github.com"
] | babiswas.noreply@github.com |
78b2e5ad6eda0389d08f76cb7f95ff272be8fc13 | 152b74ed7d60d75a9d70f6637c107fff9b064ff9 | /Chapter03/MalGan/MalGAN_gen_adv_examples.py | 0289a0a9a76912a65061cdd41fbacd0dab425a1f | [
"MIT"
] | permissive | PacktPublishing/Machine-Learning-for-Cybersecurity-Cookbook | 1d7a50fb79b5da8c411eda9dc9cface4d0f78125 | 19b9757020cbcb09d9bb4249605fbb9c7322d92b | refs/heads/master | 2023-05-12T08:29:13.569598 | 2023-01-18T10:19:07 | 2023-01-18T10:19:07 | 222,411,828 | 250 | 164 | MIT | 2023-05-01T20:11:44 | 2019-11-18T09:33:53 | Jupyter Notebook | UTF-8 | Python | false | false | 2,075 | py | from sklearn.neighbors import NearestNeighbors
from keras import backend as K
import MalGAN_utils
from MalGAN_preprocess import preprocess
import numpy as np
def gen_adv_samples(model, fn_list, pad_percent=0.1, step_size=0.001, thres=0.5):
### search for nearest neighbor in embedding space ###
def emb_searc... | [
"dineshchaudhary@packtpub.com"
] | dineshchaudhary@packtpub.com |
cc45fdbbddc41768ecf333b33f0e6b2c01dcbd95 | 42c48f3178a48b4a2a0aded547770027bf976350 | /google/ads/google_ads/v3/services/ad_schedule_view_service_client_config.py | 90efc7090c35efbde8f0c9a47c102453d887ece9 | [
"Apache-2.0"
] | permissive | fiboknacky/google-ads-python | e989464a85f28baca1f28d133994c73759e8b4d6 | a5b6cede64f4d9912ae6ad26927a54e40448c9fe | refs/heads/master | 2021-08-07T20:18:48.618563 | 2020-12-11T09:21:29 | 2020-12-11T09:21:29 | 229,712,514 | 0 | 0 | Apache-2.0 | 2019-12-23T08:44:49 | 2019-12-23T08:44:49 | null | UTF-8 | Python | false | false | 815 | py | config = {
"interfaces": {
"google.ads.googleads.v3.services.AdScheduleViewService": {
"retry_codes": {
"idempotent": [
"DEADLINE_EXCEEDED",
"UNAVAILABLE"
],
"non_idempotent": []
},
"retry_params": {
"default": {
"initial_retry_delay_... | [
"noreply@github.com"
] | fiboknacky.noreply@github.com |
7da40b77085e8a9aff24f6e4855a7b4fee264fef | 373c0cc659e0c77739ff87f01b159ab3969bce72 | /pca/pca5.py | a80b3a04c841b8406b5da0159da05a9db468a7bd | [] | no_license | c1a1o1/cancer | 75da16ab43d4925f849fc0c84a98d69d46e3aea1 | 268f8e1553f1237fc2d0d0d3d7c13f664792aa92 | refs/heads/master | 2021-01-20T04:17:09.858006 | 2017-02-24T16:53:35 | 2017-02-24T16:53:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,139 | py | #from numpy import mean, cov, cumsum, dot, linalg, size, flipud, argsort
#from pylab import imread, subplot, imshow, title, gray, figure, show, NullLocator, imsave
import numpy as np
import matplotlib.pyplot as plt
def princomp(A, numpc=0):
# computing eigenvalues and eigenvectors of covariance matrix
M = (A - np.me... | [
"senenbotello@gmail.com"
] | senenbotello@gmail.com |
822d0722fc6c480872f5f0a209984e64e0d29091 | 597f847f0bd2112e45ca50979acec403a5f969cf | /python/day06/exercise/test2.py | f2ef95420fe5500c69f3b2906f06ca1a0d91a442 | [] | no_license | wangyuhui12/AID1804 | e5d26aa6d505655cd885784cc0645c9ea8323df5 | 7291fc9411b541d17e540dd829166e64887fd9f7 | refs/heads/master | 2022-09-11T23:10:47.631426 | 2022-08-03T09:01:13 | 2022-08-03T09:01:13 | 136,152,631 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 648 | py |
# 2、有一些数存在于列表L中，如：
# L = [1, 3, 2, 1, 6, 4, ..., 98, 82]
# （此数据自己定义）
# 将列表L中的数存入于另一个列表L2中（要求，重复出现多次的数字只在L2列表中保留一份）
L = []
while True:
n = input("请输入一个整数：")
if not n:
break
n = int(n)
L.append(n)
# for i in L:
# if L.count(i) > 1:
# j = L.count(i)
# for x... | [
"noreply@github.com"
] | wangyuhui12.noreply@github.com |
c1d153362cd6ae47be10bb825b009ce4fa2a7ef9 | 204ec78fcebcea9e1e1da4905cf3fad0a514b01f | /pyocd/target/builtin/target_MPS3_AN522.py | c8d9dd2265ca1de7624831c0ec1156619eb87e21 | [
"Apache-2.0"
] | permissive | ARMmbed/pyOCD | 659340bf8753aa8e15a72890b8bea64dff2c2f42 | d4cdcf7e532cae17caad866839287bbe1e0d952b | refs/heads/master | 2023-05-31T13:45:15.797588 | 2020-10-12T13:55:47 | 2020-10-12T13:55:47 | 190,203,829 | 3 | 1 | Apache-2.0 | 2019-07-05T11:05:40 | 2019-06-04T13:09:56 | Python | UTF-8 | Python | false | false | 1,492 | py | # pyOCD debugger
# Copyright (c) 2020 Arm Limited
# SPDX-License-Identifier: Apache-2.0
#
# 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
#
# ... | [
"flit@me.com"
] | flit@me.com |
b141ab2597ba820e82b8091ee4334bd5218daa59 | d2fdd6b10b0467913971d1408a9a4053f0be9ffb | /datahub/metadata/migrations/0015_add_iso_to_country.py | 891f31f2965cb861506230efd7bb9f663ed86b23 | [] | no_license | jakub-kozlowski/data-hub-leeloo | fc5ecebb5e4d885c824fc7c85acad8837fcc5c76 | 7f033fcbcfb2f7c1c0e10bec51620742d3d929df | refs/heads/master | 2020-05-18T13:29:14.145251 | 2019-04-30T12:12:50 | 2019-04-30T12:12:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 516 | py | # Generated by Django 2.1.2 on 2018-10-30 17:24
from pathlib import PurePath
from django.core.management import call_command
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('metadata', '0014_investmentprojectstage_exclude_from_investment_flow'),
]
... | [
"info@marcofucci.com"
] | info@marcofucci.com |
ddbc45e6681b12728108ffcd2a027d6639b8f7a3 | 9df2fb0bc59ab44f026b0a2f5ef50c72b2fb2ceb | /sdk/eventhub/azure-eventhub/azure/eventhub/_buffered_producer/_buffered_producer_dispatcher.py | 7bad79bead6409a6e962b5d0e80ddaf2063c179e | [
"LicenseRef-scancode-generic-cla",
"MIT",
"LGPL-2.1-or-later"
] | permissive | openapi-env-test/azure-sdk-for-python | b334a2b65eeabcf9b7673879a621abb9be43b0f6 | f61090e96094cfd4f43650be1a53425736bd8985 | refs/heads/main | 2023-08-30T14:22:14.300080 | 2023-06-08T02:53:04 | 2023-06-08T02:53:04 | 222,384,897 | 1 | 0 | MIT | 2023-09-08T08:38:48 | 2019-11-18T07:09:24 | Python | UTF-8 | Python | false | false | 7,290 | py | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | [
"noreply@github.com"
] | openapi-env-test.noreply@github.com |
3eb5675cb98630a1417a7a99e8ead5bfe8caf461 | 551b75f52d28c0b5c8944d808a361470e2602654 | /huaweicloud-sdk-cbr/huaweicloudsdkcbr/v1/model/show_member_detail_request.py | b7d02e8b454b32351aa7f4f4af4a67e39d3cac14 | [
"Apache-2.0"
] | permissive | wuchen-huawei/huaweicloud-sdk-python-v3 | 9d6597ce8ab666a9a297b3d936aeb85c55cf5877 | 3683d703f4320edb2b8516f36f16d485cff08fc2 | refs/heads/master | 2023-05-08T21:32:31.920300 | 2021-05-26T08:54:18 | 2021-05-26T08:54:18 | 370,898,764 | 0 | 0 | NOASSERTION | 2021-05-26T03:50:07 | 2021-05-26T03:50:07 | null | UTF-8 | Python | false | false | 3,456 | py | # coding: utf-8
import pprint
import re
import six
class ShowMemberDetailRequest:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the ... | [
"hwcloudsdk@huawei.com"
] | hwcloudsdk@huawei.com |
f2e6beef9ab524d5325b345c9e2d1affa0b1a47d | 022228249a7892e1efeaa11f0d445ba7cb115891 | /product/api/serializers_site.py | e33b258e12bf2a82306d4ebbae1db3f0c1ac77f0 | [] | no_license | angaradev/django-vue-interface | bacef985b9f9cbd4379992133168c9278b4f707b | 2e55d217b12bcda3c54acbb90cd3466bca955c5a | refs/heads/master | 2022-12-01T09:24:29.788368 | 2022-11-22T07:09:44 | 2022-11-22T07:09:44 | 241,351,571 | 0 | 2 | null | 2022-11-22T07:09:45 | 2020-02-18T12:08:14 | JavaScript | UTF-8 | Python | false | false | 3,167 | py | # -*- coding: utf-8 -*-
# from rest_framework_recursive.fields import RecursiveField
from product.models import Cross
from rest_framework import serializers
from product.models import (
Product,
ProductImage,
Category,
Units,
CarModel,
CarMake,
CarEngine,
Country,
BrandsDict,
Pr... | [
"angara99@gmail.com"
] | angara99@gmail.com |
a270f8f89e241c78f56752aad9c4849cf7d66f8c | 15c016140f03bb476549fa4bf20d4f52077783a6 | /ecl/module_loader.py | faf271acdef9b3503ee8c94a5b92d083abcd53f0 | [
"Apache-2.0"
] | permissive | nttcom/eclsdk | 5cbb3f0067d260d257f7366d18e0f554d8f17cb3 | c2dafba850c4e6fb55b5e10de79257bbc9a01af3 | refs/heads/master | 2023-08-09T06:24:53.466570 | 2022-12-01T02:44:48 | 2022-12-01T02:44:48 | 86,663,654 | 5 | 15 | Apache-2.0 | 2023-09-06T02:39:01 | 2017-03-30T05:45:19 | Python | UTF-8 | Python | false | false | 989 | py | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under t... | [
"h.ohta@ntt.com"
] | h.ohta@ntt.com |
872bb43358fa79c7700cf6626f0e22339467ce80 | 43f78a4d51f441b4dbbc1a84537804123201a246 | /dataaccess/dataexporter.py | b764c20af14dd42baafd8605f4af24b491277d9b | [] | no_license | shmyhero/data-process | 28d5bfb27999cb0d462453d4663f01f43a649386 | 63dac65b41333d6e81bf32ecaa6533b28975c985 | refs/heads/master | 2021-03-22T00:11:51.373193 | 2019-10-22T06:27:28 | 2019-10-22T06:27:28 | 98,510,392 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,050 | py | import os
from utils.logger import Logger
from common.configmgr import ConfigMgr
from common.pathmgr import PathMgr
from optionskewdao import OptionSkewDAO
from vixdao import VIXDAO
class DataExporter(object):
def __init__(self, daily_raw_path=None):
self.logger = Logger(__name__, PathMgr.get_log_path())... | [
"elwin.luo@tradehero.mobi"
] | elwin.luo@tradehero.mobi |
e959b8a741f902b0414e1f40c0253495b77e7b9d | f6bba50fccc6fb0dae2f046193434cfb4b9d32d5 | /54/A.py | ebcd9d660e8171e1ea4e24847f3e19f299254c40 | [] | no_license | seven320/AtCoder | 4c26723d20004fe46ce118b882faabc05066841c | 45e301e330e817f1ace4be4088d3babe18588170 | refs/heads/master | 2021-11-22T22:57:32.290504 | 2021-10-24T09:15:12 | 2021-10-24T09:15:12 | 162,827,473 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 492 | py | # encoding:utf-8
import copy
import random
import bisect #bisect_left これで二部探索の大小検索が行える
import fractions #最小公倍数などはこっち
import math
import sys
mod = 10**9+7
sys.setrecursionlimit(mod) # 再帰回数上限はでdefault1000
A,B = map(int,input().split())
if A==B:
ans = "Draw"
else:
if A == 1:
ans = "Alice"
elif B == ... | [
"yosyuaomenw@yahoo.co.jp"
] | yosyuaomenw@yahoo.co.jp |
fcc98bedd3a0869fa161e82145679045adc49903 | 5fd4707876cac0a4ca3b14af9a936301c45b5599 | /10_序列的修改、散列和切片/fp_04_了解__getitem__和切片的行为.py | 49d7c6d581010d434f3c5d183befc6c6beade33c | [] | no_license | xuelang201201/FluentPython | 5b0d89bfc6ee1238ad77db9955ec7e8417b418b8 | 7cbedf7c780c2a9e0edac60484f2ad4c385e1dbd | refs/heads/master | 2022-04-26T21:49:16.923214 | 2020-04-27T01:27:50 | 2020-04-27T01:27:50 | 258,290,957 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 534 | py | class MySeq:
def __getitem__(self, index):
return index # 在这个示例中，__getitem__直接返回传给它的值。
s = MySeq()
print(s[1]) # 单个索引，没什么新奇的。
print(s[1:4]) # 1:4 表示法变成了 slice(1, 4, None)。
print(s[1:4:2]) # slice(1, 4, 2) 的意思是从 1 开始，到 4 结束，步幅为 2。
print(s[1:4:2, 9]) # 神奇的事发生了：如果 [] 中有逗号，那么 __getitem__ 收到的是元组。
print(s[... | [
"xuelang201201@gmail.com"
] | xuelang201201@gmail.com |
bbd4dc7142151d3c378e11906357393635ccc0eb | 01a682ab349df2690fd7ae6e918cb8e68b7aca44 | /train.py | b71c77dc926e16074db73763b62597aa42f95d5e | [
"MIT"
] | permissive | misads/torch_image_template | 4ecbeaa8c28764cab90b73101fb0309ae2856c8d | db55be6fcebdb6b0c5c739e505b8a7a2eb81c3c1 | refs/heads/master | 2020-09-22T09:18:48.737332 | 2020-01-07T13:36:47 | 2020-01-07T13:36:47 | 225,135,127 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,387 | py | """
PyTorch Image Template
Author: xuhaoyu@tju.edu.cn
File Structure:
.
├── train.py :Train and evaluation loop, errors and outputs visualization (Powered by TensorBoard)
├── test.py :Test
│
├── network
│ ├── Model.py ... | [
"523131316@qq.com"
] | 523131316@qq.com |
24eca094d917207229a1b23a1435763f5d8d962d | a84e1ed67ef2592cf22f7d19cdddaf16700d6a8e | /graveyard/web/VNET/branches/vnf/content/actors/obsolete/vaspPhon.odb | 0b915dda2a74f0472b61de90044a53085518ebfd | [] | no_license | danse-inelastic/inelastic-svn | dda998d7b9f1249149821d1bd3c23c71859971cc | 807f16aa9510d45a45360d8f59f34f75bb74414f | refs/heads/master | 2016-08-11T13:40:16.607694 | 2016-02-25T17:58:35 | 2016-02-25T17:58:35 | 52,544,337 | 1 | 2 | null | null | null | null | UTF-8 | Python | false | false | 558 | odb | #!/usr/bin/env python
#
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#
# Michael A.G. Aivazis
# California Institute of Technology
# (C) 1998-2005 All Rights Reserved
#
# {LicenseText}
#
# ~~~~~~~~~~~~~~~~~~~~~~~~... | [
"jbrkeith@gmail.com"
] | jbrkeith@gmail.com |
a5678355479cffd9ab84a011fd49e713ecd02ad5 | 177c090fffc3baba54db88fd51f4f21c74f6acb3 | /manage.py | 334c2decfb81708d1bd7a6599be5ddd095d697d7 | [] | no_license | Deep-sea-boy/iHome | d68dcd196c204d63766fc75bdc214fbd8fa6177c | 0cb9a23e864e9b8b82126db6e6bedf62a52b73d7 | refs/heads/master | 2020-03-11T02:52:39.851372 | 2018-04-23T02:31:10 | 2018-04-23T02:31:10 | 130,633,039 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 380 | py | #coding:utf-8
from flask_migrate import Migrate,MigrateCommand
from flask_script import Manager
from iHome import get_app,db
app = get_app('dev')
# # 在迁移时让app和db建⽴关联
Migrate(app,db)
manager = Manager(app)
# 将迁移脚本添加到脚本管理器
manager.add_command('db',MigrateCommand)
if __name__ == "__main__":
print app.url_map
m... | [
"youremail@example.com"
] | youremail@example.com |
b29ec90a8c342083bb1c9315e24d1a38f21f3c5d | 55c250525bd7198ac905b1f2f86d16a44f73e03a | /Python/Projects/twilio/build/lib/twilio/rest/conversations/v1/configuration/__init__.py | 662c9c24e4e32fe46eca6dd20efe791d972d6ff9 | [
"LicenseRef-scancode-other-permissive"
] | permissive | NateWeiler/Resources | 213d18ba86f7cc9d845741b8571b9e2c2c6be916 | bd4a8a82a3e83a381c97d19e5df42cbababfc66c | refs/heads/master | 2023-09-03T17:50:31.937137 | 2023-08-28T23:50:57 | 2023-08-28T23:50:57 | 267,368,545 | 2 | 1 | null | 2022-09-08T15:20:18 | 2020-05-27T16:18:17 | null | UTF-8 | Python | false | false | 130 | py | version https://git-lfs.github.com/spec/v1
oid sha256:462dd494db244faa218d38ab9f086e0defd945bc165b5d99f3410b331d22010e
size 11015
| [
"nateweiler84@gmail.com"
] | nateweiler84@gmail.com |
d1dd441e212f6b5630bf450ef5d17cd930f65e8f | 0e94b21a64e01b992cdc0fff274af8d77b2ae430 | /function/最大逆向匹配.py | 7bbeb95f5295f34cf11bb6d1a625805a4c92e954 | [] | no_license | yangnaGitHub/LearningProcess | 1aed2da306fd98f027dcca61309082f42b860975 | 250a8b791f7deda1e716f361a2f847f4d12846d3 | refs/heads/master | 2020-04-15T16:49:38.053846 | 2019-09-05T05:52:04 | 2019-09-05T05:52:04 | 164,852,337 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,207 | py | # -*- coding: utf-8 -*-
"""
Created on Tue Jan 8 11:37:30 2019
@author: natasha_yang
@e-mail: ityangna0402@163.com
"""
#分词方法,逆向最大匹配
class RMM():
def __init__(self, dict_path):
#prepare dictionary
self.dictionary = set()
self.maximum = 0
with open(dict_path, 'r', encoding='utf-8')... | [
"ityangna0402@163.com"
] | ityangna0402@163.com |
0c42f661e88b5e9e2c9be1f70ac0b4dd7b1fbd0d | 08296e4f0139bd23ec73836996e3637eda666a68 | /modelsFormsDemo/modelforms/forms.py | ad6e17a28c64283db488cff139dd2c04020dd4f9 | [] | no_license | 146789/projects | 4589efd8f2f11a1beb487ef06a7556d49ed95c72 | a288e39cd088ea2717017285fd68d8b42cf4d493 | refs/heads/main | 2023-02-02T13:54:34.360222 | 2020-12-19T08:16:11 | 2020-12-19T08:16:11 | 322,798,535 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 168 | py | from django import forms
from modelforms.models import Project
class projectForm(forms.ModelForm):
class Meta:
model = Project
fields = '__all__'
| [
"34913079+146789@users.noreply.github.com"
] | 34913079+146789@users.noreply.github.com |
d78b64e291c878941f42ce614f2374cf3d1e5db0 | 060967fa3e6e390ac0504172e6dea8421ffb9d98 | /2022/python2022/tests/test_day05.py | 6e3cdc045d3b37efe23b317fb4ef6d05472cd6dd | [] | no_license | mreishus/aoc | 677afd18521b62c9fd141a45fec4b7bc844be259 | e89db235837d2d05848210a18c9c2a4456085570 | refs/heads/master | 2023-02-22T12:00:52.508701 | 2023-02-09T04:37:50 | 2023-02-09T04:39:44 | 159,991,022 | 16 | 3 | null | 2023-01-05T10:00:46 | 2018-12-01T22:00:22 | Python | UTF-8 | Python | false | false | 609 | py | #!/usr/bin/env python3
"""
Test Day05.
"""
import unittest
from aoc.day05 import Day05
class TestDay05(unittest.TestCase):
"""Test Day05."""
def test_part1(self):
"""Test part1"""
self.assertEqual(Day05.part1("../inputs/05/input_small.txt"), "CMZ")
self.assertEqual(Day05.part1("../in... | [
"mreishus@users.noreply.github.com"
] | mreishus@users.noreply.github.com |
254f2622c359329e542c446d230344005908e2cf | 0bd7c1f7bf6da5ef92b9013e1d913140f0249dfa | /cecilia-python/company-title/alibaba/2020/LongestStringNote.py | bb33251577054be3950acdf1f824040773ccc3af | [] | no_license | Cecilia520/algorithmic-learning-leetcode | f1fec1fae71c4cf7410122f5ce969e829f451308 | 32941ee052d0985a9569441d314378700ff4d225 | refs/heads/master | 2022-05-02T03:00:57.505672 | 2022-03-19T09:51:28 | 2022-03-19T09:51:28 | 229,673,810 | 7 | 1 | null | 2022-03-19T09:34:57 | 2019-12-23T04:04:04 | Python | UTF-8 | Python | false | false | 2,909 | py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
"""
@File : LongestStringNote.py
@Contact : 70904372cecilia@gmail.com
@License : (C)Copyright 2019-2020
@Modify Time @Author @Version @Desciption
------------ ------- -------- -----------
2020/3/30 22:09 cecilia 1.0 最长字符串音符... | [
"cc15572018516@163.com"
] | cc15572018516@163.com |
1448d856879ce5cf3724a82a93410eb12c35ce47 | 9743d5fd24822f79c156ad112229e25adb9ed6f6 | /xai/brain/wordbase/otherforms/_abominating.py | cf50c6ad0533dcdabbfe02cae9118aac20902ad1 | [
"MIT"
] | permissive | cash2one/xai | de7adad1758f50dd6786bf0111e71a903f039b64 | e76f12c9f4dcf3ac1c7c08b0cc8844c0b0a104b6 | refs/heads/master | 2021-01-19T12:33:54.964379 | 2017-01-28T02:00:50 | 2017-01-28T02:00:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 236 | py |
#calss header
class _ABOMINATING():
def __init__(self,):
self.name = "ABOMINATING"
self.definitions = abominate
self.parents = []
self.childen = []
self.properties = []
self.jsondata = {}
self.basic = ['abominate']
| [
"xingwang1991@gmail.com"
] | xingwang1991@gmail.com |
aca024609ff1a5d1f0412312402ccbc8796917f4 | c191c82ca5b67d2caf447e16e6d2368404fb6730 | /collegeproject/faculty/forms.py | 03a3c44e6c8587059cf6254f5dcdbfbf8acccb71 | [] | no_license | arunthankachan07/DjangoProjects | 070457fe0afeaea0633ab674b311f220fa6bec83 | 08bd1925ff2d882876b79bc0d8820f033dde3bb3 | refs/heads/master | 2023-04-22T07:26:19.444894 | 2021-05-10T06:36:38 | 2021-05-10T06:36:38 | 361,839,558 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 333 | py | from django import forms
class FacultyRegistrationForm(forms.Form):
firstname=forms.CharField(max_length=120)
username=forms.CharField(max_length=120)
password=forms.CharField(max_length=100)
class FacultyLoginForm(forms.Form):
username=forms.CharField(max_length=120)
password=forms.CharField(max... | [
"arunkaripuzha07@gmail.com"
] | arunkaripuzha07@gmail.com |
8f900e4a807812f900ab27f85d1512892a94a0bb | 6c189e7654d640dbf56c1481bb2439dbb3353402 | /IPython/html/tests/test_external.py | 00bf4d2b83b4b1bb4b56c956e748976034367ebb | [
"BSD-3-Clause"
] | permissive | zakandrewking/ipython | c39ba65ae8b7f323f061a591906144569a5a2e54 | 3e4d535825d60405fbe8d094b455848d59489cfa | refs/heads/master | 2020-05-05T06:07:01.968458 | 2014-05-07T16:35:37 | 2014-05-07T16:35:37 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 712 | py | """Test external"""
#-----------------------------------------------------------------------------
# Copyright (C) 2014 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#--------------------------------... | [
"zaking17@gmail.com"
] | zaking17@gmail.com |
7acea09ca55ff4c8012867d77a44b7dd143eaeab | 1fe8d4133981e53e88abf633046060b56fae883e | /venv/lib/python3.8/site-packages/tensorflow/python/ops/distributions/kullback_leibler.py | b8d069bc79d770fe4193fbaf947981a0394075e9 | [] | no_license | Akira331/flask-cifar10 | 6c49db8485038731ce67d23f0972b9574746c7a7 | 283e7a2867c77d4b6aba7aea9013bf241d35d76c | refs/heads/master | 2023-06-14T16:35:06.384755 | 2021-07-05T14:09:15 | 2021-07-05T14:09:15 | 382,864,970 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 129 | py | version https://git-lfs.github.com/spec/v1
oid sha256:c0b7ee140903b8fcf26aad781cc776aa0a35cbc9f9efcc1f0b65c3e7318bcd6a
size 7820
| [
"business030301@gmail.com"
] | business030301@gmail.com |
b019fa4745f8434c4b9e8976e21d77d5308b1bc0 | 2caa47f0bdb2f03469a847c3ba39496de315d992 | /Contest/ABC040/c/main.py | 9e5d1b18c640488baf621790690b16c39aaaaa6c | [
"CC0-1.0"
] | permissive | mpses/AtCoder | 9023e44885dc67c4131762281193c24b69d3b6da | 9c101fcc0a1394754fcf2385af54b05c30a5ae2a | refs/heads/master | 2023-03-23T17:00:11.646508 | 2021-03-20T12:21:19 | 2021-03-20T12:21:19 | 287,489,233 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 212 | py | #!/usr/bin/env python3
n, *a = map(int, open(0).read().split())
INF = float("inf")
dp = [INF] * n
dp[0] = 0
for i in range(1, n):
dp[i] = min(dp[i - p] + abs(a[i - p] - a[i]) for p in [1, 2])
print(dp[n - 1]) | [
"nsorangepv@gmail.com"
] | nsorangepv@gmail.com |
895c65d6ec11f32c7cb39d127fb4f1d7bfac65ce | 84741b2103b702791076e65679b8ab89a132ac3a | /venelin/wsgi.py | 7f14d3ffdae9d8169abafb8e6bacd57b5873b0c9 | [] | no_license | Yaqdata/venko-django-site | 97b78cbeaa9676fb3d230f47036746f1e8a342d6 | eefdf12c9bc6a1873c4f451e1023d9ec691ce300 | refs/heads/master | 2021-01-15T12:14:33.573809 | 2013-12-09T22:12:06 | 2013-12-09T22:12:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 285 | py | import os
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "venelin.settings")
# This application object is used by the development server
# as well as any WSGI server configured to use this file.
import django.core.handlers.wsgi
application = django.core.handlers.wsgi.WSGIHandler()
| [
"vkstoykov@gmail.com"
] | vkstoykov@gmail.com |
b29308f7c9eaaf48077bcadb3fae69b3346e1ec1 | 33bae2dead37bcd22460e05de67531cfdacfcccb | /wis/urls.py | 9f2729796b8a3e3576da8fb4661d1e77a77948b8 | [] | no_license | wis-auralov/wis | 5cfb0dba9c74d8d944b770d9b706de91fe01440d | 40d2e187b448a42008b8db6f00cf17818fff2444 | refs/heads/master | 2021-01-20T07:36:10.174053 | 2017-04-29T18:46:41 | 2017-04-29T18:46:41 | 90,016,639 | 0 | 0 | null | 2017-05-02T09:43:22 | 2017-05-02T09:43:22 | null | UTF-8 | Python | false | false | 848 | py | from django.conf.urls import url, include
from django.contrib import admin
from clients.views import ClientList, ClientDetail, ClientDelete, ClientCreate, ClientScores, download_xlsx
urlpatterns = [
url(r'^admin/', admin.site.urls),
url(r'^client_detail/(?P<pk>[0-9]+)/$', ClientDetail.as_view(), name='client_d... | [
"lse1983@mail.ru"
] | lse1983@mail.ru |
50da310865ec2f297b42c59a7c926b4a47b868cb | ddd5109d8ce1832423448d7f4932255118d56e36 | /apps/gigs/models.py | 5fffeca65ca75cda079ff70d879f2efb2adac79b | [] | no_license | amyth/gigzag | fe5b52677db2ba17083d4fdb059c0a12e6b3646d | 1569fd40aa02c8b7921ad6a7f8f4e8b9ad4cf652 | refs/heads/master | 2021-01-21T07:03:28.397118 | 2017-02-27T12:01:02 | 2017-02-27T12:01:02 | 83,305,491 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,769 | py | import os
import uuid
from django.contrib.auth.models import User
from django.contrib.contenttypes.fields import GenericRelation
from django.core.files import File
from django.db import models
from django.db.models import Q
from django_comments.models import Comment
from liked.models import Like
from moviepy.editor i... | [
"aroras.official@gmail.com"
] | aroras.official@gmail.com |
aaa4bf02509e564a891d5a05ae8f6daf2a153f8a | 98c6ea9c884152e8340605a706efefbea6170be5 | /examples/data/Assignment_7/grcdea001/question1.py | dba5df6eec999efec76cbe617d7ebd465574d3a3 | [] | no_license | MrHamdulay/csc3-capstone | 479d659e1dcd28040e83ebd9e3374d0ccc0c6817 | 6f0fa0fa1555ceb1b0fb33f25e9694e68b6a53d2 | refs/heads/master | 2021-03-12T21:55:57.781339 | 2014-09-22T02:22:22 | 2014-09-22T02:22:22 | 22,372,174 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 357 | py | """Program to print out a list of strings without duplicates, assignment 7 question 1
Dean Gracey
27 April 2014"""
word=input("Enter strings (end with DONE):\n")
words = []
while word!= "DONE":
if not word in words:
words.append(word)
word = input("")
print("\nUnique list:") ... | [
"jarr2000@gmail.com"
] | jarr2000@gmail.com |
054f71754967e78023ad8b59df9cff86e239ca30 | eb71f3494fb00708e6d5e8c332f27c4026063339 | /il2fb/ds/events/definitions/version.py | fac6811fd60d1fe2728ff87ecfeae3f0adc46026 | [
"MIT"
] | permissive | IL2HorusTeam/il2fb-ds-events | dab5fc7ec0b1389c5fc1e975f9134e6ffe35bdee | fb71ffbce63ac1b3b3a27263250e021f9543ba9f | refs/heads/main | 2023-02-01T16:29:18.565016 | 2020-12-22T17:53:45 | 2020-12-22T17:53:45 | 310,578,022 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 223 | py | VERSION_SUFFIX = "a0"
VERSION_PATCH = "0" + (VERSION_SUFFIX or "")
VERSION_MINOR = "0"
VERSION_MAJOR = "1"
VERSION_INFO = (VERSION_MAJOR, VERSION_MINOR, VERSION_PATCH)
VERSION = ".".join([str(x) for x in VERSION_INFO])
| [
"oblovatniy@gmail.com"
] | oblovatniy@gmail.com |
aa324cc4383ae2314514c934cf5ae4d5f72ade34 | c7a31023a11b376e543e41b00212dc7eca07b386 | /cryptofeed/kraken/kraken.py | 5bb79d6c9f884c708f916bbad8370bd7e22906d4 | [
"LicenseRef-scancode-warranty-disclaimer",
"Python-2.0"
] | permissive | orens77/cryptofeed | 5d2123f17745be6bf2eb7bf5a96547006e16d083 | d155b30eadb015c7167141a3dbbb8d42af6ae4f0 | refs/heads/master | 2020-04-25T17:45:22.849820 | 2019-06-04T14:51:11 | 2019-06-04T14:51:11 | 172,960,015 | 0 | 0 | NOASSERTION | 2019-02-27T17:31:47 | 2019-02-27T17:31:46 | null | UTF-8 | Python | false | false | 6,183 | py | '''
Copyright (C) 2017-2019 Bryant Moscon - bmoscon@gmail.com
Please see the LICENSE file for the terms and conditions
associated with this software.
'''
import json
import logging
from decimal import Decimal
import time
from sortedcontainers import SortedDict as sd
from cryptofeed.feed import Feed
from cryptofeed.... | [
"bmoscon@gmail.com"
] | bmoscon@gmail.com |
dcb4c855cf299c37b70980412d0997e041832a97 | 3fb0ce33f00b96ae3808a32da44de3e887434afb | /.提出一覧/AtCoder/M-SOLUTIONSプロコンオープン2020/msol_D.py | 57fa6ba1c8ac9cddfb25c897c2153a9acee8c49d | [] | no_license | Yukikazari/kyoupuro | ca3d74d8db024b1988cd0ff00bf069ab739783d7 | 343de455c4344dbcfa4524b492f7f6205c9db26f | refs/heads/master | 2023-02-21T01:53:52.403729 | 2021-01-27T03:55:01 | 2021-01-27T03:55:01 | 282,222,950 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 377 | py | N = int(input())
A = list(map(int, input().split()))
money = 1000
kabu = 0
for i in range(len(A)-1):
if kabu != 0:
if A[i] >= A[i + 1]:
money += kabu * A[i]
kabu = 0
else:
if A[i] < A[i + 1]:
kabu = money // A[i]
money -= kabu * A[i]
if kabu !... | [
"haya_nanakusa793@yahoo.co.jp"
] | haya_nanakusa793@yahoo.co.jp |
e70dabf76a8f2d14e74e6b2353114e4dafe9e649 | adbcc8ff2249dc9906095bf894d2923b197f8af2 | /examples/csj/s5/local/remove_pos.py | 3e354475e35113bfcbd8497b2fc1cf5ff9e61663 | [] | no_license | caochensi/neural_sp | de39d0919aeb6da28b90140be051c124f7efcc3f | 019247ccae7df461f852c5130ea127e395d071dc | refs/heads/master | 2020-04-15T14:49:52.408291 | 2019-01-06T10:52:36 | 2019-01-06T14:43:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,357 | py | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2018 Kyoto University (Hirofumi Inaguma)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Remove POS tag."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import re... | [
"hiro.mhbc@gmail.com"
] | hiro.mhbc@gmail.com |
2b02015ba8e96f08cf871f37cd5331da7911e852 | e9e433c57a7d73d848fbade5e354a8c31ff0ea87 | /tests/test_subword_separation.py | 43d1525eb175ddd755df02c966b5532c5a64d8f9 | [
"Apache-2.0"
] | permissive | Joshua0128/codeprep | a7f99533e7b74e089fb66a3f10f6be59d4ca4b71 | 0f41307f7a9ad545e5ec0cc9552a0144328f2422 | refs/heads/master | 2023-07-09T13:07:33.094940 | 2021-04-21T18:08:30 | 2021-04-21T18:08:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,553 | py | # SPDX-FileCopyrightText: 2020 Hlib Babii <hlibbabii@gmail.com>
#
# SPDX-License-Identifier: Apache-2.0
# import unittest
#
# from codeprep.bpepkg.bpe_encode import BpeData
# from codeprep.parse.core import convert_text
# from codeprep.parse.model.containers import SplitContainer
# from codeprep.parse.model.numeric im... | [
"hlibbabii@gmail.com"
] | hlibbabii@gmail.com |
eb940db047f8f17e8e5f77e6aba568932e282e75 | f1624dc174a172aff3b6cf7b9c7d1f2505bb76ee | /code/plot_double_bar_tmp.py | ee014d0f52a5091ca582759f7a4d2e1f81e4de3e | [] | no_license | blxlrsmb/TrendMicro2014 | 5d0bf07a54e8f2123af06cd58beef36ad9cb007d | 63894ede6bbfeb1ce62a5b64c56996dd53c6c2ce | refs/heads/master | 2021-01-10T14:12:56.868967 | 2015-11-21T23:39:36 | 2015-11-21T23:39:36 | 46,638,621 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,000 | py | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
# $File: plot_double_bar_tmp.py
# $Date: Mon Aug 18 06:45:14 2014 +0800
# $Author: Xinyu Zhou <zxytim[at]gmail[dot]com>
from sklearn.datasets import load_svmlight_file
import matplotlib.pyplot as plt
import numpy
import sys
from IPython import embed
def process_data(X, ... | [
"ppwwyyxxc@gmail.com"
] | ppwwyyxxc@gmail.com |
a9c44935af9e748a670870274888deac52241fc7 | c3865ab8c207ee58056be8eda7319acaa9a04654 | /Plots/simple/SimpleBarPlot.py | 4e5aa7de3779008ecd87c21d430eaf7f2ba2977f | [] | no_license | jonathanglima/Python | d42c21cb9030063f172c03efbb598a969db48539 | 43c53b6f20973c31ce95d2891293d344d655d377 | refs/heads/master | 2021-08-08T07:42:56.348207 | 2017-11-09T22:19:17 | 2017-11-09T22:19:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,092 | py | # -*- coding: utf-8 -*-
"""
Created on Tue Jul 07 16:56:32 2015
Simple Bar plot function
@author: Edward
"""
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.font_manager as fm
import os
# global variables
# fontname = 'C:/Users/Edward/Documents/Assignments/Scripts/Python/Plots/resource... | [
"cui23327@gmail.com"
] | cui23327@gmail.com |
72d6334fff676e48b52f9b448c483d6a4750c874 | 524c17cbe94ee67babf817bad3b304e2573aa2da | /Lab4/func.py | 12c785bd1737ed353c5e4ba959d5d126ed932708 | [] | no_license | JoniNoct/python-laboratory | 6707664fa58d6e0fcde8476f9670fcf9c312e830 | 551fdb128bcf113e72fd13ff7441455c830ecf45 | refs/heads/master | 2020-07-29T15:20:26.183289 | 2019-11-11T22:42:42 | 2019-11-11T22:42:42 | 209,859,702 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,094 | py | def checkType(a):
i = 1
if a == "int":
while i == 1:
try:
v = int(input())
i += 1
except:
print("Потрібно ввести число")
return v
elif a == "float":
while i == 1:
try:
v = float(input(... | [
"tereshchenko.igor@gmail.com"
] | tereshchenko.igor@gmail.com |
ca7dcb5b038ec85b1e09b2329b549221e8c3d1ad | c2544163e17fad9a4e5731bd1976bfc9db44f8bd | /reagent/net_builder/discrete_dqn/dueling.py | fc2fe4b2e4cb677386c517f34dfdc563b2f3b93f | [
"BSD-3-Clause"
] | permissive | zachkeer/ReAgent | 52fb805576dc7b1465e35921c3651ff14cd9345e | 3e5eb0391050c39b9d4707020f9ee15d860f28cb | refs/heads/master | 2022-11-25T14:08:21.151851 | 2020-07-22T06:44:28 | 2020-07-22T06:45:48 | 281,907,350 | 1 | 0 | BSD-3-Clause | 2020-07-23T09:21:50 | 2020-07-23T09:21:49 | null | UTF-8 | Python | false | false | 1,216 | py | #!/usr/bin/env python3
from typing import List
from reagent import types as rlt
from reagent.core.dataclasses import dataclass, field
from reagent.models.base import ModelBase
from reagent.models.dueling_q_network import DuelingQNetwork
from reagent.net_builder.discrete_dqn_net_builder import DiscreteDQNNetBuilder
fr... | [
"facebook-github-bot@users.noreply.github.com"
] | facebook-github-bot@users.noreply.github.com |
e5384e5808f75faeb98b36e08e1fdf5188cd9ff4 | 301a7cb5d21808b4442f641ba4396fbd6c1da6f0 | /dataclasses_serialization/serializer_base.py | 9513f627a0877f7ae41e8c6862dc1a5fb057b84f | [
"MIT"
] | permissive | kitschen/python-dataclasses-serialization | 5766b8010ffb3d8af7aa4925b00f733019ca4b2f | c0c4e4e037a01871dccb13c25478f35a9dfb7717 | refs/heads/master | 2022-05-30T06:13:23.474156 | 2020-02-18T17:12:52 | 2020-02-18T17:12:52 | 260,832,071 | 0 | 0 | MIT | 2020-05-03T05:05:06 | 2020-05-03T05:05:05 | null | UTF-8 | Python | false | false | 7,635 | py | from dataclasses import dataclass, fields, is_dataclass
from functools import partial
from typing import TypeVar, Union, Dict, List, get_type_hints
from typing_inspect import is_union_type, get_origin, get_args
from toolz import curry
try:
from typing import GenericMeta
except ImportError:
from typing import... | [
"madman.bob@hotmail.co.uk"
] | madman.bob@hotmail.co.uk |
f0941a9ff0770700eaf5c789d61d647d34b3bcde | 13a5a2ab12a65d65a5bbefce5253c21c6bb8e780 | /dnainfo/skyline_chi/migrations/0007_auto_20161019_1408.py | 61784f86a84c1613426e15ae6a744a2d42ba257a | [] | no_license | NiJeLorg/DNAinfo-CrimeMaps | 535b62205fe1eb106d0f610d40f2f2a35e60a09e | 63f3f01b83308294a82565f2dc8ef6f3fbcdb721 | refs/heads/master | 2021-01-23T19:28:12.642479 | 2017-05-11T06:04:08 | 2017-05-11T06:04:08 | 34,847,724 | 2 | 0 | null | 2016-11-25T15:56:14 | 2015-04-30T10:02:41 | JavaScript | UTF-8 | Python | false | false | 2,612 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.10.1 on 2016-10-19 18:08
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_depende... | [
"jd@nijel.org"
] | jd@nijel.org |
9875fadcf6f959f0bd030c49d8153372772cbd1e | a7c4f8d4e101a4b3961419278809923a6ddbfde7 | /connect.py | a69af0ebbc3139fa555aa28b47aa0bec1878cc76 | [] | no_license | memonsbayu/phyton | 5b7bfabc1a132d7c8ac6d057fbc7e8bb687ecff7 | 858966d11d95ff3fd829179abe1e349f2b84345f | refs/heads/master | 2023-01-01T07:43:23.784410 | 2020-10-22T13:07:09 | 2020-10-22T13:07:09 | 306,339,910 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 303 | py | import mysql.connector
def koneksi():
db = mysql.connector.connect(
host="localhost",
user="root",
passwd="",
database="sewa_alat_olahraga",
autocommit=True
)
if db.is_connected():
return db
else:
print ('DB disconnected!')
| [
"you@example.com"
] | you@example.com |
0b6b42e43e78681a0e3e98a62abf55692dd129ed | ad3011f4d7600eb1b436f1527e1b576910a64b56 | /05_cwiczenia/01_podstawy/06_cwiczenie.py | ed2a29bfc6b92745932f9a079b0001d3a4bdde77 | [] | no_license | pawel-domanski/python-basic | 7a048c7de950d997492c11b4f07888f856908639 | 1adce694d58b4969f843cfc651d3e2a027a4f3f3 | refs/heads/main | 2023-03-21T12:55:22.097946 | 2021-03-06T09:54:09 | 2021-03-06T09:54:09 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 212 | py | # -*- coding: utf-8 -*-
"""
Używając odpowiedniej metody połącz podane wyrazy symbolem '#':
> sport
> python
> free
> time
Następnie wydrukuj do konsoli.
Oczekiwany rezultat:
sport#python#free#time
""" | [
"krakowiakpawel9@gmail.com"
] | krakowiakpawel9@gmail.com |
87cec23de18905c57c19aafa9befa366d356508a | bab4f301ff7b7cf0143d82d1052f49e8632a210e | /1010. Pairs of Songs With Total Durations Divisible by 60.py | a0b93d4f53a519df6b31b2c79b16534f395f35f8 | [] | no_license | ashish-c-naik/leetcode_submission | 7da91e720b14fde660450674d6ce94c78b1150fb | 9f5dcd8e04920d07beaf6aa234b9804339f58770 | refs/heads/master | 2020-04-05T05:12:03.656621 | 2019-06-08T17:30:22 | 2019-06-08T17:30:22 | 156,585,497 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 482 | py | class Solution(object):
def numPairsDivisibleBy60(self, time):
"""
:type time: List[int]
:rtype: int
"""
hm = collections.defaultdict(int)
count = 0
for x in time:
# if x % 60 == 0:
# count += 1
new = x % 60
... | [
"ashishnaik121@gmail.com"
] | ashishnaik121@gmail.com |
edcf513b1d1c7b3cec4fd78ec26e06b893ead73c | a9c5c6f6aed746cdfaa594db54d7a2d46e33f430 | /LICENSE.md/windpred/rev.py | e654404ff6da9e277f6a2ebb1c776a14f88de152 | [] | no_license | nyc1893/Python-Learning | a7b81d169c4678c199a61aa4c7d226ce927aa8d8 | 13bc6b8cc28c25df2730d9672d419cd57cab55d4 | refs/heads/master | 2023-07-20T23:08:38.164660 | 2023-07-06T14:35:29 | 2023-07-06T14:35:29 | 101,700,286 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,785 | py | import math
import pandas as pd
import numpy as np
import statsmodels.api as sm # recommended import according to the docs
import matplotlib.pyplot as plt
from scipy.stats import genpareto
# delta p are used
import math
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import timeit
from sklearn.... | [
"noreply@github.com"
] | nyc1893.noreply@github.com |
4fa2ed4953655341861de67ea4bdc73d68fb9f5f | 1dacbf90eeb384455ab84a8cf63d16e2c9680a90 | /Examples/bokeh/charts/file/scatter_multi.py | 0d60b5f6af7af7857ba99101beed2f2f5abe3f18 | [
"Apache-2.0",
"BSD-3-Clause",
"LicenseRef-scancode-unknown"
] | permissive | wangyum/Anaconda | ac7229b21815dd92b0bd1c8b7ec4e85c013b8994 | 2c9002f16bb5c265e0d14f4a2314c86eeaa35cb6 | refs/heads/master | 2022-10-21T15:14:23.464126 | 2022-10-05T12:10:31 | 2022-10-05T12:10:31 | 76,526,728 | 11 | 10 | Apache-2.0 | 2022-10-05T12:10:32 | 2016-12-15T05:26:12 | Python | UTF-8 | Python | false | false | 2,207 | py |
import pandas as pd
from bokeh.charts import Scatter, output_file, show, vplot, hplot, defaults
from bokeh.charts.operations import blend
from bokeh.charts.utils import df_from_json
from bokeh.sampledata.autompg import autompg as df
from bokeh.sampledata.iris import flowers
from bokeh.sampledata.olympics2014 import d... | [
"wgyumg@mgail.com"
] | wgyumg@mgail.com |
451dbc04f9f9a357113e55a6e8573541403d21aa | 8ada05f8c41e2b238f1dad053d6abf66bc53f633 | /1600~1699/1629.py | 1db19048448ac5d342d57fec807edb6153a4b40b | [] | no_license | chulhee23/BaekJoon_Online_Judge | 84ccd9f2223ea57ab305b9ee27dac0c7e8222df4 | b1afcaaba63e49552363a003ff2be8a5878a78a7 | refs/heads/master | 2020-09-22T00:18:39.822112 | 2019-11-24T08:21:00 | 2019-11-24T08:21:00 | 224,983,873 | 0 | 1 | null | 2019-11-30T08:44:22 | 2019-11-30T08:44:21 | null | UTF-8 | Python | false | false | 484 | py |
# 문제
# 자연수 A를 B번 곱한 수를 알고 싶다.
# 단 구하려는 수가 매우 커질 수 있으므로
# 이를 C로 나눈 나머지를 구하는 프로그램을 작성하시오.
#
# 입력
# 첫째 줄에 A, B, C가 빈 칸을 사이에 두고 순서대로 주어진다.
# A, B, C는 모두 2,147,483,647 이하의 자연수이다.
#
# 출력
# 첫째 줄에 A를 B번 곱한 수를 C로 나눈 나머지를 출력한다.
print(pow(*map(int, input().split())))
| [
"alstn2468_@naver.com"
] | alstn2468_@naver.com |
a5d288adf3bf422f7a0fc81863207a92aadde21d | d9f52125601ec26f79202f0e912891b31b60ffc4 | /오후반/Introduction/6_Write_a_function/6_JHW.py | c190540064743a984c2c22f1d8da69ea32296212 | [] | no_license | YoungGaLee/2020_Python_coding-study | 5a4f36a39021c89ac773a3a7878c44bf8b0b811f | b876aabc747709afa21035c3afa7e3f7ee01b26a | refs/heads/master | 2022-12-12T13:34:44.729245 | 2020-09-07T04:07:48 | 2020-09-07T04:07:48 | 280,745,587 | 4 | 4 | null | 2020-07-22T03:27:22 | 2020-07-18T21:51:40 | Python | UTF-8 | Python | false | false | 201 | py | def is_leap(year):
leap = False
if year%400==0:
leap = True
if year==1992:
leap = True
# Write your logic here
return leap
year = int(input())
print(is_leap(year))
| [
"noreply@github.com"
] | YoungGaLee.noreply@github.com |
467d21c0b49dff3c3bce69d7006e14d3f82a3063 | 9dc00969cbb9ab462836c548927c0a471f8a9737 | /05列表优化及去重/05-method1.py | bcb0163750b2b7f0ba3004ea8d561e79ec761c37 | [] | no_license | wan230114/JUN-Python | ad2cb901881b3b6f07a7cdd42ac0ff2c86e8df56 | 3619c8e392c241bd1c9b57dbc16a1f2f09ccc921 | refs/heads/master | 2021-05-01T09:51:01.309505 | 2018-08-31T07:12:31 | 2018-08-31T07:12:31 | 121,096,578 | 0 | 0 | null | 2018-02-11T07:34:54 | 2018-02-11T07:15:42 | null | UTF-8 | Python | false | false | 468 | py | #!usr/bin/python
row = open('row_list', 'r')
clean = open('clean_list', 'w+')
uni = open('uni', 'w')
for line in row:
new_line=''
for line1 in line.strip():
if line1=='.':break
new_line=new_line+line1
clean.write(new_line+'\n')
print new_line
cl... | [
"1170101471@qq.com"
] | 1170101471@qq.com |
f83748286858d4ca788884511300b237b5cf3cd0 | eba4934e6af6ec85d286c336dbc2c0f27013110d | /mxnetseg/data/cityscapes.py | 8bd95d8aab0fa9d8025b6819fd3934d769a7c0c9 | [
"Apache-2.0"
] | permissive | jeou/MXNetSeg | a87c349a12c7c2a77018628e5a231cf8624a5e1c | 8a700aa2c2d939fce11b52bde7291ef231c9bfaa | refs/heads/master | 2022-10-21T18:24:18.864007 | 2020-06-14T10:10:18 | 2020-06-14T10:10:18 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,758 | py | # coding=utf-8
# Adapted from: https://github.com/dmlc/gluon-cv/blob/master/gluoncv/data/cityscapes.py
import os
import mxnet as mx
import numpy as np
from PIL import Image
from gluoncv.data.segbase import SegmentationDataset
class CitySegmentation(SegmentationDataset):
NUM_CLASS = 19
def __init__(self, roo... | [
"bebdong@outlook.com"
] | bebdong@outlook.com |
bce858e5ade4868147186f01125ce9ce7fdd7da8 | 6fa7f99d3d3d9b177ef01ebf9a9da4982813b7d4 | /6kseWBaSTv6GgaKDS_13.py | 450ef2b91638e545ce5a4241819dcf90166b90f5 | [] | no_license | daniel-reich/ubiquitous-fiesta | 26e80f0082f8589e51d359ce7953117a3da7d38c | 9af2700dbe59284f5697e612491499841a6c126f | refs/heads/master | 2023-04-05T06:40:37.328213 | 2021-04-06T20:17:44 | 2021-04-06T20:17:44 | 355,318,759 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 437 | py |
def next_letters(s):
if s == '' :
return 'A'
elif s.count('Z') == len(s) :
return (len(s)+1)*'A'
else :
z = 0 # number of z at the end of our string
while s[::-1][z] == 'Z' : z += 1
pA, pZ = s[::-1][:z:-1], s[-z-1:] # splitting into 2 parts : constant/changed
... | [
"daniel.reich@danielreichs-MacBook-Pro.local"
] | daniel.reich@danielreichs-MacBook-Pro.local |
a63169009d6cf39d1f227d2d919b8ec6de5bfdb6 | f5863cf378bce80d3aa459941dff79ea3c8adf5d | /SWEA/SW_TEST/SWEA_1949/SWEA_1949.py | fb26396032d958d97a1532f3d9ec7a520523d8a2 | [] | no_license | Taeg92/Problem_solving | 815c13ae7895708948482eeb05411322be00ac12 | 15c0fe0eda4f77d974451777cb01d10882d8aaa9 | refs/heads/master | 2021-11-18T22:03:21.727840 | 2021-09-06T14:21:09 | 2021-09-06T14:21:09 | 235,335,532 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,159 | py | # Problem [1949] : 등산로 조정
import sys
sys.stdin = open('input.txt')
dx = (-1, 0, 1, 0)
dy = (0, 1, 0, -1)
def DFS(x, y, d, k):
global m
if m < d:
m = d
C[x][y] = 1
for i in range(4):
nx = x + dx[i]
ny = y + dy[i]
if 0 <= nx < N and 0 <= ny < N and not C[nx][ny]:
... | [
"gtg92t@gmail.com"
] | gtg92t@gmail.com |
cde4c54c06cb50520ce9a6332ddf90e346690b55 | a06586c101a31bf6c9a7dc307cf664120ac092fd | /Trakttv.bundle/Contents/Code/core/helpers.py | 0a18e71922fa1e88e21953945d60d23bf924f0e6 | [] | no_license | HaKDMoDz/Plex-Trakt-Scrobbler | 22dd1d8275698761cb20a402bce4c5bef6e364f9 | 6d46cdd1bbb99a243b8628d6c3996d66bb427823 | refs/heads/master | 2021-01-22T00:10:18.699894 | 2015-05-25T23:52:45 | 2015-05-25T23:52:45 | 37,312,507 | 2 | 0 | null | 2015-06-12T09:00:54 | 2015-06-12T09:00:53 | null | UTF-8 | Python | false | false | 8,062 | py | from core.logger import Logger
import hashlib
import inspect
import re
import sys
import threading
import time
import unicodedata
log = Logger('core.helpers')
PY25 = sys.version_info[0] == 2 and sys.version_info[1] == 5
def try_convert(value, value_type, default=None):
try:
return value_type(value)
... | [
"gardiner91@gmail.com"
] | gardiner91@gmail.com |
111e6b5d2743a33767a2b20fe559d5eb6d64d37b | 21a1b71ab16d81cb82cae39736b196306df2d471 | /road_detection2/4.2.road_detecting_using_cam.py | ab8ae27530c48b14ce652d0d1a1a737b7d192275 | [] | no_license | aiegoo/jet-notebook | 2eb10ffbe100c609ab5cf356c905e84d9129f2a7 | dc3dc58cb5c5e238bc55250d1129b0427757486b | refs/heads/master | 2023-02-07T21:30:39.800359 | 2021-01-04T01:59:51 | 2021-01-04T01:59:51 | 318,427,706 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,223 | py | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import numpy as np
import matplotlib.pyplot as plt
import cv2, time
from jetbot import Camera
from jetbot import bgr8_to_jpeg
import ipywidgets.widgets as widgets
import traitlets
# In[2]:
def preprocessing(img):
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
g... | [
"eozz21@gmail.com"
] | eozz21@gmail.com |
29c691b36c36a0ce2059bd0c694533d59f1f55e2 | b1392c69fcbdcb5ecd798b473e22a6ce9e2e8e44 | /CorazonPet/apps/tipo_mascota/admin.py | b0b445cb697c981a0e7be68febad73d93172206b | [] | no_license | joselofierro/CorazonPet | 34a1b9a3ea72d81f48f1059b6b27ad080f643738 | f92c297b16e8b133c57af73560efef34c064c104 | refs/heads/master | 2021-11-28T19:13:45.353617 | 2018-01-09T22:42:52 | 2018-01-09T22:42:52 | 111,141,800 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 145 | py | from django.contrib import admin
# Register your models here.
from apps.tipo_mascota.models import TipoMascota
admin.site.register(TipoMascota) | [
"juliofierro@Mac-mini-de-JULIO.local"
] | juliofierro@Mac-mini-de-JULIO.local |
6a2ec327abe96a1032005e64bb9bbca2e24d3680 | aa76391d5789b5082702d3f76d2b6e13488d30be | /Private Project/Web Scrap/practice/ruliweb_login.py | bae40ed151b3f4cf80c2d9f9b8e1e5a97ec6b465 | [] | no_license | B2SIC/python_playground | 118957fe4ca3dc9395bc78b56825b9a014ef95cb | 14cbc32affbeec57abbd8e8c4ff510aaa986874e | refs/heads/master | 2023-02-28T21:27:34.148351 | 2021-02-12T10:20:49 | 2021-02-12T10:20:49 | 104,154,645 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 917 | py | import requests
from getpass import getpass
from bs4 import BeautifulSoup
getId = input("ID: ")
getPw = getpass("Pw: ")
# 로그인 유저 정보
LOGIN_INFO = {
'user_id': getId,
'user_pw': getPw
}
# Session 생성, with 구문안에서 유지
with requests.Session() as s:
login_req = s.post("https://user.ruliweb.com/member/login_proc"... | [
"the_basic_@kookmin.ac.kr"
] | the_basic_@kookmin.ac.kr |
355af19dc2658d6f894db7b2443035b55fd6cc83 | 1eb2d7d2a6e945a9bc487afcbc51daefd9af02e6 | /spider/paperspider/papers/papers/spiders/conference2cn.py | 578441368a8e57ac02bdea595a983211dac5dc19 | [] | no_license | fengges/eds | 11dc0fdc7a17b611af1f61894f497ad443439bfe | 635bcf015e3ec12e96949632c546d29fc99aee31 | refs/heads/master | 2021-06-20T04:43:02.019309 | 2019-06-20T12:55:26 | 2019-06-20T12:55:26 | 133,342,023 | 0 | 3 | null | null | null | null | UTF-8 | Python | false | false | 3,558 | py | # # -*- coding: utf-8 -*-
#
# import json
# import scrapy
# import os
# import execjs
# from spider.paperspider.papers.papers.services.paperservices import paper_service
# from spider.paperspider.papers.papers.items import *
#
# root = os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__fi... | [
"1059387928@qq.com"
] | 1059387928@qq.com |
c40bb05e041686ddc9a84e2e9662c6b79990c8ae | b4869228738cdcd1a5fcb10b2091b78415ca9741 | /algorithmic-toolbox/week6/knapsack.py | ac783dfb88a227e9feaa93a0399a47c5c62f643b | [] | no_license | mmanishh/coursera-algo-toolbox | 8d23d18985acfb33f44f08ac8c306fdb68dc3e88 | d3153904732ab5b4125fc8913fcea6e969028822 | refs/heads/master | 2020-04-13T19:17:03.421935 | 2019-01-14T11:15:06 | 2019-01-14T11:15:06 | 163,397,885 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 885 | py | # Uses python3
import sys
def optimal_weight_naive(W, w):
# write your code here
result = 0
for x in w:
if result + x <= W:
result = result + x
return result
def optimal_weight(W,w):
n = len(w)
value = [[0 for j in range(W+1)] for i in range(n+1)]
for i in range(1,n+1)... | [
"dfrozenthrone@gmail.com"
] | dfrozenthrone@gmail.com |
de75953113f38f1ca7a911263a44bf7b01dc222d | 0a0c6994c319981f7ba5d31eee3b074453ca4c0d | /autres/ahmedmelliti/module/__init__.py | b56955a8c3ed1a936aabb84a3da36d040ed5a34f | [] | no_license | arianacarnielli/2i013 | 678595c498cba5ec932ee9badd4868a08dad0663 | a804abb7c2337fe9963c2ddfcd73db80d8b787d8 | refs/heads/master | 2021-05-10T13:30:21.353951 | 2018-05-08T14:17:40 | 2018-05-08T14:17:40 | 118,476,287 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 853 | py | #from .strategies import RandomStrategy
#from .strategies import *
from .strategies import *
from soccersimulator import SoccerTeam
def get_team(nb_players):
myteam = SoccerTeam(name="MaTeam")
#for i in range(nb_players):
# myteam.add("Joueur "+str(i) ,FonceurStrategy())
if nb_players==1:
myteam.add("J... | [
"ariana.carnielli@gmail.com"
] | ariana.carnielli@gmail.com |
85c46754048661ed70e41167e6a0ba3fb08340df | bddc40a97f92fafb8cbbbfdbdfe6774996578bb0 | /exercicioLista_listas/ex04.py | 41c3c3e877a2ead3a68266440beefacbecb10b67 | [] | no_license | andrehmiguel/treinamento | 8f83041bd51387dd3e5cafed09c4bb0a08d0e375 | ed18e6a8cfba0baaa68757c12893c62a0938a67e | refs/heads/main | 2023-01-31T13:15:58.113392 | 2020-12-16T02:47:44 | 2020-12-16T02:47:44 | 317,631,214 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 426 | py | # 4. Faça um Programa que leia um vetor de 10 caracteres, e diga quantas consoantes
# foram lidas. Imprima as consoantes.
listaChar = []
consoantes = 0
print ('Informe 10 caracters')
for x in range(10):
listaChar.append(input(f'Informe o {x + 1}º caracter: '))
char = listaChar[x]
if(char not in ('a','e','i... | [
"andrehmiguel@outlook.com"
] | andrehmiguel@outlook.com |
305a36881d7b04e423b340695be5258894e8f796 | 784359e29fce9b3cd7c4c2d71e5f0498dd6d4b5c | /src/test.py | 3c1dc8f967ea7179b24fec3646130ef5391d7ded | [] | no_license | lmorillas/imagenes-arasaac | 65740df76a8d8f43493464153eea08d93687df68 | 48bec6df2095dda1ab2db5b08b4dccaae1ffe5e0 | refs/heads/master | 2021-05-11T10:13:07.999743 | 2018-01-19T08:18:36 | 2018-01-19T08:18:36 | 118,097,208 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,024 | py | # coding: utf-8
'''
https://stackoverflow.com/questions/25615741/how-to-use-the-spanish-wordnet-in-nltk
http://python.6.x6.nabble.com/attachment/2743017/0/Python%252520Text%252520Processing%252520with%252520NLTK%2525202.0%252520Cookbook.pdf
https://www.pybonacci.org/2015/11/24/como-hacer-analisis-de-sentimiento-en-es... | [
"morillas@gmail.com"
] | morillas@gmail.com |
06a5d6e41fa605cea837fb39e38f115ddd43e2f2 | ee974d693ca4c4156121f8cb385328b52eaac07c | /env/lib/python3.6/site-packages/pbr/pbr_json.py | c18362b03df827909c74e5c536a42156e97ecada | [] | no_license | ngonhi/Attendance_Check_System_with_Face_Recognition | f4531cc4dee565d0e45c02217f73f3eda412b414 | 92ff88cbc0c740ad48e149033efd38137c9be88d | refs/heads/main | 2023-03-12T07:03:25.302649 | 2021-02-26T15:37:33 | 2021-02-26T15:37:33 | 341,493,686 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 129 | py | version https://git-lfs.github.com/spec/v1
oid sha256:686172037b3d816c532f2e6aad2cfc06e034a7e538b9be33bf7a1f7a559cd64f
size 1284
| [
"Nqk180998!"
] | Nqk180998! |
815b00ec395cb0cfa575f77a0073e2eace93b7db | a9815c48ece2064c0b35e5f5ea76fa460ee67e43 | /Commands/Rainbow.py | 6716958404cb2c996b15c812739b04611ecea790 | [
"MIT"
] | permissive | Heufneutje/PyMoronBot | 1ca0ef3877efa4ca37de76a1af3862085515042e | 055abf0e685f3d2fc02863517952dc7fad9050f3 | refs/heads/master | 2020-12-28T21:39:11.871132 | 2016-07-14T16:38:15 | 2016-07-14T16:38:15 | 24,449,387 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,386 | py | # -*- coding: utf-8 -*-
"""
Created on May 04, 2014
@author: Tyranic-Moron
"""
from CommandInterface import CommandInterface
from IRCMessage import IRCMessage
from IRCResponse import IRCResponse, ResponseType
from twisted.words.protocols.irc import assembleFormattedText, attributes as A
class Rainbow(CommandInterf... | [
"matthewcpcox@gmail.com"
] | matthewcpcox@gmail.com |
a084b0e7a5d66b9462e3e0f4016dca8595899060 | 42e2d31fe71e1a2c0b50a5d4bbe67e6e3e43a2ef | /contrib/devtools/check-doc.py | 1b3264bca50da1765ffaf44ca268e87bec46ddfa | [
"MIT"
] | permissive | coinwebfactory/aiascoin | aceed1ebcb069b03d1fea3384d9d5beca06bc223 | c8741cad5264a2d4c0bbca7813c4f4ad390915ae | refs/heads/master | 2020-03-24T16:29:51.130395 | 2018-08-28T09:56:10 | 2018-08-28T09:56:10 | 142,826,697 | 0 | 0 | MIT | 2018-07-30T04:58:29 | 2018-07-30T04:58:28 | null | UTF-8 | Python | false | false | 1,910 | py | #!/usr/bin/env python
# Copyright (c) 2015-2016 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
'''
This checks if all command line args are documented.
Return value is 0 to indicate no error.
Author: @... | [
"root@localhost"
] | root@localhost |
663424fd44e897ae383df66011f4a1f60bed3000 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p02990/s076168357.py | 2db79e763da1248e48e6dfc6516dac1e7d408771 | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 219 | py | mod = 10**9+7
N, K = map(int, input().split())
print(N-K+1)
i = 2
C1 = N-K+1
C2 = 1
while i <= K:
C1 *= ((N-K+1-(i-1))*pow(i, mod-2, mod))%mod
C2 *= ((K-(i-1))*pow(i-1, mod-2, mod))%mod
print((C1*C2)%mod)
i += 1 | [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
054a2be80baef36aea5f876de706b94da37caafe | 50e089f906489b2586cc586712420fd085f1f637 | /machine_learning.py | dd758d6b668604304b9f3b47f2727a1ac5ec2109 | [] | no_license | AaronTho/Python_Notes | 5ab629e3b3d49be5c68d2a285a79683dc604cd3e | 4aa0e1fb4a35763458a1da467e1bb01e393bc972 | refs/heads/main | 2023-07-24T00:59:23.552952 | 2021-09-11T17:32:25 | 2021-09-11T17:32:25 | 375,399,260 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 915 | py | # Import the Data
# Clean the Data
# Split the Data into Training/Test Sets
# Create a Model
# Train the Model
# Make Predictions
# Evaluate and Improve
# Libraries and Tools:
# Numpy
# Pandas
# MatPlotLIb
# Scikit-Learn
# Jupyter is the a good machine learning environment
# Install Anaconda (had to also install the ... | [
"aamith@gmail.com"
] | aamith@gmail.com |
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