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values | gha_event_created_at timestamp[ns]date 2012-06-03 10:21:33 2023-09-14 21:59:50 ⌀ | gha_created_at timestamp[ns]date 2008-03-27 23:40:48 2023-09-13 22:40:33 ⌀ | gha_language stringclasses 250
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values | language stringclasses 1
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classes | is_generated bool 2
classes | length_bytes int64 6 10M | extension stringclasses 289
values | filename stringlengths 1 218 | content stringlengths 6 10M |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ba72af921a9562d748bcd65f1837ea8eb5da5697 | 9d2cf43d3acc37feedad17fe59ff34af894245b5 | /HTSOHM/bin/mat17.py | ab73569145cfa8095bf62fb71fdd55a77f7b82e3 | [] | no_license | akaija/pseudo-mat | 4afcc8df12458b1b95cc500027e55bb1a056e9a1 | 7e94175d67ca6d27035727f9d518ca2e5140174e | refs/heads/master | 2021-01-16T18:45:27.437969 | 2015-08-26T00:56:03 | 2015-08-26T00:56:03 | 28,607,689 | 0 | 2 | null | 2020-10-14T21:37:34 | 2014-12-29T21:49:48 | Python | UTF-8 | Python | false | false | 15,599 | py | mat17.py | from random import choice, random, randrange
from math import fsum
import os
import numpy as np
def mat17(N, ATOM_TYPES, ndenmax=0.04302, ndenmin=0.0000013905, xmax=51.2, xmin=25.6, ymax=51.2, ymin=25.6,
zmax=51.2, zmin=25.6, epmax=513.264, epmin=1.2580, sigmax=6.549291, sigmin=1.052342, qmax=0.0, qmin=0.0):
#epmax DE... |
dab1adcd185092fc425b5d87150f27e7b67bff6c | 8015f1c62a2cb4efd21aa8938336913bf8117868 | /bamap/ba0563.pngMap.py | f953f0bab46a2f38301e4164c6bf04149fda7205 | [] | no_license | GamerNoTitle/Beepers-and-OLED | 675b5e3c179df0f0e27b42bf594c43860d03b9af | afe1340e5394ae96bda5f9022a8a66824368091e | refs/heads/master | 2020-04-20T00:09:47.122471 | 2019-04-29T04:59:35 | 2019-04-29T04:59:35 | 168,515,579 | 4 | 2 | null | null | null | null | UTF-8 | Python | false | false | 8,468 | py | ba0563.pngMap.py | ba0563.pngMap = [
'00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000',
'00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000',
'0000000000000000000000000000000000000... |
924fd89a835528fa28e1226912a2e4be9c4e1d5d | f908538808a9cc447522d391f8c1ae74cdb2fefc | /google_product_feeder/tests.py | 057e020a72a89a74f7819764cd2293e989e0e1aa | [] | no_license | willv/django-google-product-feeder | 48739470cec4dc20f8946af4d52207a44fdde7b7 | 2c98851030102e82cff0f334191b8127441042c8 | refs/heads/master | 2020-08-03T10:48:44.904865 | 2016-12-27T10:19:00 | 2016-12-27T10:19:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,219 | py | tests.py | #! /usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.test import TestCase
from django.core.urlresolvers import reverse
from google_product_feeder.feed import CSVMerchantFeed, MERCHANT_FEED_COLUMNS
CSV_HEADINGS = ','.join(MERCHANT_FEED_COLUMNS) + '\r\n'
class AttrNameF... |
99a6b450792d434e18b8f9ff350c72abe5366d95 | da348f525a4256c95bee7c71358fd3441e5189ca | /Python 第八周作业/20171029 4.4.3.3.py | 6d0e1ff628bbecaf569d43e341cf4134d3661d7a | [] | no_license | bwz3891923/LearningLog | 5c7aa4a0f08fc5523f8642af41e4cf56ad3f83ec | 742cff9dfac50aa5266a4996ea65e980f8c66282 | refs/heads/master | 2020-04-23T13:39:26.123005 | 2019-02-20T07:32:02 | 2019-02-20T07:32:02 | 171,204,390 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 341 | py | 20171029 4.4.3.3.py | try:
alp="ABCDEFGHIJKLMNOPQRSTUVWXYZ"
idx=eval(input("请输入一个整数"))
print(alp[idx])
except NameError:
print("输入错误，请输入一个整数")
except:
print("其他错误")
else:
print("没有发生错误")
finally:
print("程序执行完毕，不知道是否发生了异常")
|
3c9302b5cb92e5103ed16ec56e1b349f0662950c | ddcd6959ae7fdbf15f71a63fc0c8ec4c3d3edcea | /finish/wall/admin.py | d4826c4db114cb078177ce94d6b505fe7713ad38 | [] | no_license | Jhyrus/score | 40d768f5eeaebb115901431b4680d3be35480384 | cb8eff9a8f4fa55922994837482f286884913f5c | refs/heads/master | 2020-06-07T03:07:34.420463 | 2013-12-09T18:20:37 | 2013-12-09T18:20:37 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,507 | py | admin.py | # -*- encoding: utf-8 -*-
from django.contrib import admin
from finish.wall.models import (Autor, Category, Announcement, Banner, Caricatura,
Video, TypePost, Post, Phrase, TypeGalery,
ImageGalery, Sponsor)
class AutorAdmin(admin.ModelAdmin):
pass
... |
ab352c9431fda19bc21a9f7ffa075303641cca45 | 2734b77a68f6d7e22e8b823418ad1c59fe1a34af | /opengever/api/listing_custom_fields.py | 41fd79902fff008f4d80addc1dc49b16a7bf5c46 | [] | no_license | 4teamwork/opengever.core | 5963660f5f131bc12fd0a5898f1d7c8f24a5e2b1 | a01bec6c00d203c21a1b0449f8d489d0033c02b7 | refs/heads/master | 2023-08-30T23:11:27.914905 | 2023-08-25T14:27:15 | 2023-08-25T14:27:15 | 9,788,097 | 19 | 8 | null | 2023-09-14T13:28:56 | 2013-05-01T08:28:16 | Python | UTF-8 | Python | false | false | 1,695 | py | listing_custom_fields.py | from opengever.propertysheets.assignment import get_document_assignment_slots
from opengever.propertysheets.assignment import get_dossier_assignment_slots
from opengever.propertysheets.storage import PropertySheetSchemaStorage
from plone.restapi.services import Service
LISTING_TO_SLOTS = {
u'dossiers': get_dossie... |
43e721ac45570e4f9ab9c1970abee3da6db40afa | 0d7853380c124b7509893d3e3bbad3af3da14e58 | /zone_migration/strategy.py | d29f86fc7618ef48b66709f3838e49a5ed85fdff | [
"Apache-2.0"
] | permissive | nec-openstack/watcher-zone-migration-plugin | a0724b4b0f21ba22ea5ca564eebdb16bd6e4a46d | 9437d08a4e36e03d673308ce8bc410438997d8d8 | refs/heads/master | 2020-06-11T10:50:36.789280 | 2017-02-09T09:37:56 | 2017-02-09T09:37:56 | 75,684,621 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,489 | py | strategy.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
# ... |
07ac061d7d1eaf23b6c95fbcbf6753f25e568188 | 762490e55473ecc78f823068fb869707ef5d21fc | /audio_loader/load_single.py | 9916b86902d8532259bb22d632453ba5c2f1eded | [] | no_license | vpurush/speech-reco-partial-dataset | 8bdf6c8a65900838dbd9342d8e40a90875a13920 | 3ded8d5b32e5bb73cb2c5c16548f376725ef6ac4 | refs/heads/master | 2021-07-10T17:14:30.938446 | 2019-11-11T04:58:44 | 2019-11-11T04:58:44 | 200,060,630 | 0 | 0 | null | 2020-09-26T00:02:17 | 2019-08-01T13:58:02 | Python | UTF-8 | Python | false | false | 1,578 | py | load_single.py | from scipy.io import wavfile
import numpy
from matplotlib import pyplot as plt
import librosa
import noisereduce
def loadWavFile(fileName, filePath, savePlot, maxAudioLength, reduceNoise = True):
# Read file
# rate, data = wavfile.read(filePath)
# print(filePath, rate, data.shape, "audio length", data.shap... |
bb481fa038835abc6d61a4985b1e30c7c00bff96 | 6e88b7c4be352b849ee52f5127477f899862760d | /glitchfx2/util/generators.py | f87a291168569148cbe35c67ad108983240ae170 | [
"MIT"
] | permissive | anartisticengineer/GlitchFX2 | 1be3ced4e2c36384c3f40152a043a809056d4073 | fa2ea9e4e04edb324832586e92f9c4962a6a786c | refs/heads/main | 2023-08-27T16:16:20.381035 | 2021-10-19T01:52:54 | 2021-10-19T01:52:54 | 334,165,713 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 106 | py | generators.py | def pixels_generator(w, h):
i = 0
while i < (w * h):
yield divmod(i, w)
i = i + 1
|
b6824251b1165ca6c66049d40c79fccee6bc7d3a | 320f541194d58cd2b18f2bef34af883a84fd3a8b | /yphapp/models/user.py | d22f8b9c3850be49b67f66f8483318b686ed0dd3 | [] | no_license | mgx307113628/yunpeihuo | e0c0272a4699336b4d5340f6f577d78146973c34 | f93298cc0906e2765dc93c34a2dceafbb6eee130 | refs/heads/master | 2021-08-14T12:01:06.176003 | 2017-11-15T16:36:14 | 2017-11-15T16:36:14 | 107,109,291 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,000 | py | user.py | from .. import db
class Account(db.Model):
id = db.Column(db.Integer, primary_key=True)
acc = db.Column(db.String(50), unique=True)#TODO 调整长度
pwd = db.Column(db.String(50))#TODO 调整长度
name = db.Column(db.String(20))
sex = db.Column(db.SmallInteger)
idno = db.Column(db.String(20))
phone = db... |
38fd1390879079964636a6b5757e8767cb222d3a | df0ba328fd5888cbe4107abfc4d8844528856952 | /schoolmanage/app01/migrations/0003_auto_20171103_2005.py | 5b43a18458eeb8302da261ecb9d71d55c521ac35 | [] | no_license | TakeMeHigher/python | adc722f27666b3e84598467d4463ad2fe76803be | 4dd67cbf821646ae350e9372dc79a6d21b2f0675 | refs/heads/master | 2021-08-23T20:27:33.355951 | 2017-12-06T11:59:16 | 2017-12-06T11:59:16 | 108,710,843 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 691 | py | 0003_auto_20171103_2005.py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.5 on 2017-11-03 12:05
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('app01', '0002_auto_20171103_1637'),
]
operations = [
migrations.AlterField(... |
fc5c46fc3bfdebdbf4e2980b4fc9ff53c6e8b730 | cfb5afe81701fa29c45c3fd759b0ebd46e2eb076 | /onmt/modules/sparse_losses.py | ea21b2e3bfba8b3fc6c9cd6a857e2f27c612640f | [
"MIT"
] | permissive | OpenNMT/OpenNMT-py | 00b533d451d6a2b907a41f531898c3d70830f16e | 2b13ed1a0f50d4555d2e1d8729a2de42940be5e4 | refs/heads/master | 2023-09-03T17:44:52.635771 | 2023-08-29T13:18:14 | 2023-08-29T13:18:14 | 82,841,862 | 6,680 | 2,749 | MIT | 2023-09-13T14:00:30 | 2017-02-22T19:01:50 | Python | UTF-8 | Python | false | false | 2,747 | py | sparse_losses.py | import torch
import torch.nn as nn
from torch.autograd import Function
from torch.cuda.amp import custom_fwd, custom_bwd
from onmt.modules.sparse_activations import _threshold_and_support
class SparsemaxLossFunction(Function):
@staticmethod
@custom_fwd
def forward(ctx, input, target):
"""
... |
dd93ae12fd9513b65856da495edde1b91e07d3b6 | 351ec2615e24fcb9715c84a15e732cfe1adcbdb9 | /OGameAPIStorage.py | 22d93d58ec042735c17ade02684d8bb0b5017ea0 | [] | no_license | btx78000/Python-OGame-Bot | ec3a292812a6afc47fc169eb2daa3b195b1cae66 | 6ec5a17b96ec71deb49bf7212a7e876e841b099d | refs/heads/master | 2021-01-01T19:38:17.388038 | 2015-06-21T21:38:23 | 2015-06-21T21:38:23 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 297 | py | OGameAPIStorage.py | from OGameAPI import _Entity
class _Storage(_Entity):
def __init__(self, browser, cost_increase_factor, base_costs, id, link):
_Entity.__init__(self, browser, cost_increase_factor, base_costs, id, link)
self.storage_capacity = int(2.5 * pow(2.7182818284590451,(20 * self.level/33)) * 5000) |
36ce98e583be1bca98061a8e8ecd85ef286055a8 | 63dfb7ebdf76acbf503e9cfd54e982f0afb7e5dd | /dashboard/migrations/0001_initial.py | 0fb0d787ccd8afbaaaaa42b2cee2b6551a20a0ab | [] | no_license | shaik101/elixir | 94947eec333beb4c2d4eab77cc6fe1c2c24fd37e | 80526f5f26fc66ef200e487f8d33d1e34cc60b33 | refs/heads/master | 2020-11-30T19:17:18.342280 | 2019-12-27T15:06:24 | 2019-12-27T15:06:24 | 230,461,495 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,500 | py | 0001_initial.py | # Generated by Django 2.2 on 2019-12-26 19:21
import datetime
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('beautyapp', '0001_initial'),
]
operations = [
migrations.... |
70045f921c59446f18a40970c47052142edea351 | ad55d5ce3b838bacb564eeed01b51b44e06ae82f | /src/event.py | f6c3286ae52c171649b48d3cba3469b2a5cdf7b7 | [
"LicenseRef-scancode-public-domain",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | jedestep/atlantic | fd082cb12b61a5bb959a5e0124303dbb6ff98542 | 516466eb74bb8f13dc0433d968a9e13e8c43fd9e | refs/heads/master | 2021-05-27T16:17:58.496779 | 2013-12-25T16:22:33 | 2013-12-25T16:22:33 | 15,437,592 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 228 | py | event.py | class Event(object):
'''
Represents an event, eg, a collision taking place
'''
def __init__(self, name, reporter, target):
self.name = name
self.reporter = reporter
self.target = target
|
0fc798c49700c5321b0811d15923a3c97e100865 | f49701d875b097f10d54454ffc5bbe53f3a14f46 | /apps/account/search_indexes.py | b7953fca2570e1983aa1ef6352fa8d5f7e29bf5a | [] | no_license | B1aZer/Lionface | b2f8f298abb8a128c89e81677981006707a4db62 | fbcdd6e5c1b4f477e10348be516b90e76990e9eb | refs/heads/master | 2021-01-23T13:23:07.539625 | 2014-09-17T13:20:10 | 2014-09-17T13:20:10 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 652 | py | search_indexes.py | import datetime
from haystack.indexes import *
from haystack import site
from django.contrib.auth.models import User
from .models import UserProfile
class UserIndex(SearchIndex):
text = CharField(document=True, use_template=True)
username = CharField(model_attr='username')
email = CharField(model_attr='ema... |
73bba7396c9f090cb21b9a0bf22efa3ff91a321e | 48efca400fb7019ada2879056edff330692ec555 | /batch_analysis/batch_comparison.py | 6112bcbb7fb6de92da2216f2c98e78fabff11e25 | [
"BSD-2-Clause"
] | permissive | jskinn/robot-vision-experiment-framework | 06549fd6724b00e39578d249c151a5d860de1754 | 42f1e9830893cd46eb27d5c5b72c4caea858430b | refs/heads/master | 2020-12-03T05:12:34.679298 | 2018-01-08T01:00:24 | 2018-01-08T01:00:24 | 95,743,497 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 4,360 | py | batch_comparison.py | # Copyright (c) 2017, John Skinner
import copy
import database.client
import core.trial_comparison
import util.dict_utils as du
import util.database_helpers as dbutil
def compare_results(benchmark, database_client, config=None, trained_state_id=None):
if (not isinstance(benchmark, core.trial_comparison.TrialCompa... |
4e34ad1df0a1f9b8f0c3062a4b0feefc91a4b1b1 | eb65a0230a13bce36b8124b21a4b8d01bb852ef3 | /keras_tensorflow/models.py | c0221600fd98d8f57ad69cbb2a1eabe9d89e20a3 | [] | no_license | Diegone93/EyeStatus | cd603382dba9bbd6e58a9bdf838f7a07f3301644 | c6085989f26d7513742ddc330dd359689c924f68 | refs/heads/master | 2021-07-16T02:49:16.333698 | 2017-10-17T12:44:08 | 2017-10-17T12:44:08 | 107,266,259 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,271 | py | models.py | from keras.models import *
from keras.layers import *
from keras.optimizers import Adam
def EyesStatusNet(input_shape=None, weights_path=None):
if input_shape == None:
input_shape = (1, None, None)
input_image = Input(shape=input_shape, name='input')
x = Conv2D(64, (3, 3), activation='relu', nam... |
a8ed0d8df9cf72be5ecfb2aaf53d601054aa4b40 | 3c11a00a17d7e9c9a013f9f0d6e1bb248981cf15 | /proj_euler_13.py | e4072f4fcda2fcc9224cc7893ff938e93402aa34 | [] | no_license | CarleneL/Project-Euler | babf112b1c193eb25c7fa7dee5e88b31b2dbe7f8 | e8b296be08d15c12ef8c7d1324dd917e2d253582 | refs/heads/master | 2021-01-10T18:13:31.441061 | 2016-02-16T03:34:04 | 2016-02-16T03:34:04 | 50,974,201 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 276 | py | proj_euler_13.py | ''' Project Euler 13
Work out the first ten digits of the sum of the following one-hundred 50-digit numbers.
'''
long_numbers = []
with open("proj_euler_13.txt", "r") as f:
long_numbers=f.readlines()
print str(reduce(lambda x, y: x+y,[int(i) for i in long_numbers]))[0:10]
|
a7951fdf9491b0ea63285e81919e509829475df8 | 63686391eafb108fc84e28a1ad464cf44aa5bfaa | /handler/SubjectReReRe.py | b4c81e699d726fef872eafeb021da9016eb2ec2c | [] | no_license | fumiyas/mailman-hack | 63bb7c736fcab674445e95da34a75a276c810230 | 994ab39183528503bc773ebc41cfe26f716b3ed4 | refs/heads/main | 2023-07-26T22:09:03.194828 | 2023-07-24T07:12:22 | 2023-07-24T07:12:22 | 11,339,253 | 6 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,266 | py | SubjectReReRe.py | ## Mailman 2.1: Fix "Subject: Re: Re: Re[2]: ..." to "Subject: Re: ..."
## Copyright (C) 2014-2022 SATOH Fumiyasu @ OSSTech Corp., Japan
## <https://GitHub.com/fumiyas/mailman-hack>
## <https://www.OSSTech.co.jp/>
##
## This program is free software; you can redistribute it and/or
## modify ... |
c9eb324b606fd5bdfba5c42bcb4f2858cd7efe2c | 66d93d764bc58432e821d1b24c19ebe1ec4a0b02 | /acq4/devices/SutterMP285/SutterMP285.py | e2094624512a63d3686d14b9255fc4e199b1be52 | [
"MIT"
] | permissive | acq4/acq4 | 954d1169ab8d7c0851d2e0c9ad2c8f98ad0185e7 | e5ffd699549df96d6ac32a7fe4fe5869e0dcb2af | refs/heads/main | 2023-07-11T16:16:11.034274 | 2023-06-30T14:32:14 | 2023-06-30T14:32:14 | 14,591,961 | 57 | 39 | MIT | 2023-06-03T15:40:28 | 2013-11-21T15:50:34 | Python | UTF-8 | Python | false | false | 17,658 | py | SutterMP285.py | # -*- coding: utf-8 -*-
from __future__ import print_function
from __future__ import with_statement
import os
import time
from copy import deepcopy
import numpy as np
import six
import pyqtgraph as pg
import acq4.util.debug as debug
from acq4.devices.Device import Device
from acq4.devices.OptomechDevice import Optom... |
5cd2987782b4121115db5b46d3ef7b4e9f4d697a | 66cf704739d2b65ce109cf141eb8ed354197011a | /python/photred/photred.py | a8b82426053d097acf2b776e168b940e40427780 | [
"MIT"
] | permissive | dnidever/PHOTRED | 6c3bf30445ccecf5c156e8aca57fa83c04bf78f8 | acfd431c4e7081137c6aaf43c0520394ca5649f6 | refs/heads/master | 2023-06-09T19:28:55.177877 | 2023-06-07T21:09:45 | 2023-06-07T21:09:45 | 29,029,236 | 8 | 6 | MIT | 2018-08-03T09:27:30 | 2015-01-09T18:22:36 | IDL | UTF-8 | Python | false | false | 1,302 | py | photred.py | # This is the main PHOTRED python program
# Need something that checks what "mode" we are in.
# Need a parser
# We are actually running something
# Load the list of stages
# Load the setup file
# Make sure that all of the stages actually exist and work
# Stages Loop
stagelist = []
for stagename in stagelist:
... |
6988e129bc855e90af7dbe6d4cc2e0843a6a39d8 | ee7f5e91e5d0fd83cc37f405a67f655038061cbe | /delivery/delivery/ext/auth/admin.py | 47e11a578d1edfdb472c0458478261a86c93d632 | [] | no_license | gabrielsgradinar/curso-flask | 6f2b64df20214c10b623ddc8cb906d95bed6ca94 | 696baf7d9fcc1f6b9156b9b75637a36c411a5689 | refs/heads/master | 2022-11-30T21:33:10.929087 | 2020-08-13T23:39:09 | 2020-08-13T23:39:09 | 270,052,153 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,467 | py | admin.py | from flask_admin.contrib.sqla import ModelView
from flask_admin.actions import action
from flask_admin.contrib.sqla import filters
from delivery.ext.auth.models import User
from delivery.ext.db import db
from flask import flash, Markup
# self - propria instancia do admin
def format_user(self, request, user, *args):
... |
f8f3af9f8e37477dbd39822635bd480a4bd976fc | c5d6cdee95b3a897d05b38a15c3a6a4b0d1e9462 | /analyser/main.py | eaf1f823a86676e31f1476841832c3a008bcffb8 | [] | no_license | kevinhartyanyi/BSC-Thesis | 7191b52a4702714eebed62672b027410f0f0ea28 | 0a3f7f8ba9db9bf9bba6ed24bd9a996de62cf915 | refs/heads/master | 2022-07-12T23:04:02.486002 | 2020-04-28T13:51:54 | 2020-04-28T13:51:54 | 240,210,520 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,721 | py | main.py | from fbs_runtime.application_context.PyQt5 import ApplicationContext
from PyQt5.QtWidgets import QMainWindow
from PyQt5 import QtCore, QtGui, QtWidgets, QtMultimedia
from PyQt5.QtCore import QThread, pyqtSignal, pyqtSlot, QObject
# https://github.com/pypa/setuptools/issues/1963
from mywindow import Ui_MainWindow
from ... |
4e95b2b9150180fd83da5b4eea5a896ef942f9b9 | 9f70931c6c49beb4ae73287f5fb216ec77bef048 | /meraki_2.py | 213be2ca96c85d13d62db77831d74d4307e28123 | [] | no_license | Gulnaaznasrin21/File-naaz | e31129cf3eb9b807c0c783ca048fee5147b73dfd | 3db675ee6813708f315dadd23e9bec422fa68c50 | refs/heads/main | 2023-07-18T04:09:56.809570 | 2021-09-05T09:43:53 | 2021-09-05T09:43:53 | 403,269,184 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 73 | py | meraki_2.py | f=open("exercise.txt")
file_data=f.readlines()
print(file_data)
f.close() |
bf6a0da59a1c314f7aae85f9ea53419ddd1ed0cf | 304367e02e25cc1d40878ca0fccb8273a2da4301 | /baseA/app/services/finance_personal_service.py | 718ee0959ac353e5d2b77d130200c3a713c68470 | [] | no_license | lucasmcast/finance-api | 04da088ed508ed7e18bf9e50cd7f3e057a9eeb0f | e03bc886d6bb8001620b1947a4cb922605ec441d | refs/heads/master | 2022-12-09T11:31:13.537287 | 2020-09-22T03:57:13 | 2020-09-22T03:57:13 | 297,144,670 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 656 | py | finance_personal_service.py | import requests
"""
TODO: Classe precissa refatorada para obter a conexão do eureka server
e os dados de login da variavel de ambiente
"""
class FinancePersonalService:
"""Classe responsável por fazer as requisições para a base b"""
def __init__(self):
self.login = "lucas@lucas.com"
self.p... |
ee1e2d4f5c2c7f6167c411e307e97371c0c7c60b | 7cc340b69f95dff83e446082e88a9e3c90ccfab7 | /init_ubuntu.sh | 4bbdeda6136e9b4f7474af79140148a61a735f21 | [] | no_license | ahua/bash | 39091c42f01917c1c90500ed54184d6ecb8fd1b9 | af2fd324337d64410a2950024966f634dc055f1e | refs/heads/master | 2021-01-17T13:42:25.031638 | 2016-06-23T11:05:18 | 2016-06-23T11:05:18 | 5,204,517 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 403 | sh | init_ubuntu.sh | #!/usr/bin/env python
sudo apt-get install redis-server
sudo apt-get install -y ipython python-pip
sudo apt-get install -y build-essential tree terminator emacs23-nox vim
sudo apt-get install python-dev
sudo pip install tornado pymongo pyredis SQLAlchemy
sudo apt-get install libmysqlclient-dev
sudo pip install thrift... |
24c5f5a7252d2c13ab7d4dfc8974ca4867f8325a | 623a16d322e26add39ee25d09f0fadb88543a811 | /pancakes.py | a8eda52806633c8f86f1d1b1638c3c8b102c9096 | [
"MIT"
] | permissive | jmnel/combinatorial-optimization | 27d26d0a114bb00e663c8999dc8b134db26e4fea | c921dee6cb0febc47a8a791f8220b02b35caf0cf | refs/heads/master | 2020-12-28T10:48:36.617605 | 2020-04-14T09:43:25 | 2020-04-14T09:43:25 | 238,296,504 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,681 | py | pancakes.py | #!/usr/bin/env python3
import astar
import numpy as np
def solve_pancakes_problem():
"""
Sets up and solves the Pancake Sorting problem.
Problem state is encoded by labeling pancakes from smallest to largest.
Profiling metrics are returned to caller.
"""
# Initialize initial state for A* al... |
0301dfd1aab8bbddfc2481b4b8d3e0ad7bbe896c | 98b7fb3bcd9c7e6c2ca8f6061287490f42bbb492 | /flamingo_proj/profiles/views.py | 649ebbdf783e0c03ad34da7df4836d310890224f | [] | no_license | gitter-badger/project-flamingo | 2dae28589cb59c2bef6e83f983f6abd98fee6bdc | 0c32cb34cab1698756e311e41e6cdba35bff61ea | refs/heads/master | 2021-01-24T09:01:08.449912 | 2016-09-26T10:26:26 | 2016-09-26T10:26:26 | 69,245,465 | 0 | 0 | null | 2016-09-26T11:57:35 | 2016-09-26T11:57:35 | null | UTF-8 | Python | false | false | 2,132 | py | views.py | from django.views import generic
from django.contrib.auth.mixins import LoginRequiredMixin
from django.http import JsonResponse
from models import Profile
from posts.models import Post
class ProfileView(LoginRequiredMixin, generic.DetailView):
model = Profile
template_name = 'profiles/profile.html'
def ... |
0c3173143313c400967ee9b8c743d720e2ca1f86 | db12b990924703cd74748d8585cd9c11fafa6746 | /h2o-py/tests/testdir_algos/gbm/pyunit_calibration_isotonic_gbm.py | c58cf11f2594c7cd5428843790098fc9e41bf8d9 | [
"Apache-2.0"
] | permissive | h2oai/h2o-3 | 919019a8f297eec676011a9cfd2cc2d97891ce14 | d817ab90c8c47f6787604a0b9639b66234158228 | refs/heads/master | 2023-08-17T18:50:17.732191 | 2023-08-17T16:44:42 | 2023-08-17T16:44:42 | 17,371,412 | 6,872 | 2,345 | Apache-2.0 | 2023-09-14T18:05:40 | 2014-03-03T16:08:07 | Jupyter Notebook | UTF-8 | Python | false | false | 2,259 | py | pyunit_calibration_isotonic_gbm.py | import sys
sys.path.insert(1, "../../../")
import h2o
from tests import pyunit_utils
from h2o.estimators.gbm import H2OGradientBoostingEstimator
from h2o.estimators.isotonicregression import H2OIsotonicRegressionEstimator
import numpy as np
from pandas.testing import assert_frame_equal
def calibration_test():
df ... |
220ae789b4ad24b16f6bce9709abd879ec03cc8b | c0c38e9f36739a53023e9955961e5087a3162c4a | /p079.py | 945d311cc423c6164f4317cec0d8a5050c4f77c8 | [] | no_license | henrywallace/project-euler | c8fd299d2f4475f13349bd305dda69203c291220 | 70d2b7e7f3a1919ca491dfb9d33f76a38b1bfa26 | refs/heads/master | 2021-01-10T10:43:16.120227 | 2017-05-07T20:24:24 | 2017-05-07T20:24:24 | 51,086,868 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 677 | py | p079.py | from collections import defaultdict
from functools import reduce
graph = defaultdict(set)
unique = set()
with open('p079_keylog.txt') as f:
for a, b, c in map(str.strip, f.readlines()):
graph[a].add(b)
graph[a].add(c)
graph[b].add(c)
unique.update([a, b, c])
def find_path(graph):... |
7cd591e772b44b2b9e3dd39f005850bf6d033ebf | ad764f62b49a6ae2c93783dfc5ae9b639b0994e5 | /Python-handson/basic/function_scope.py | 74dbc3a34484def16d4495981c262506ed5b3a78 | [] | no_license | shionit/til | a5bc9470b25dad061cc3a62b02860e0ae4c879cd | b0c173459e79782ff32702043c76ef8f39d42497 | refs/heads/main | 2023-09-03T20:41:35.453993 | 2023-08-17T14:12:14 | 2023-08-17T14:12:14 | 54,536,865 | 2 | 1 | null | 2023-08-17T14:12:16 | 2016-03-23T06:38:56 | Java | UTF-8 | Python | false | false | 134 | py | function_scope.py | # coding: UTF-8
# 関数のスコープ
name = "dotinstall"
def hello():
name = "taguchi"
print(name)
print(name)
hello()
|
bc699596d3faffa3672becdd6588bbae4b55726d | 7638882c43d99abe5783c76547e4ee4cf9239ac6 | /GreenStand/Accounts/models.py | 8d26a04d2d6fcfe430a63dc2a015af5ebf0ffa09 | [
"MIT"
] | permissive | elenatuparova/Hack-for-Sustainability | 83faeb7e7a00cadf52993595d8d14847e3c22312 | b58ac49fb9541d56f1a59ac1c0849701ee1f59ad | refs/heads/master | 2020-06-11T19:51:05.160713 | 2019-06-07T08:51:17 | 2019-06-07T08:51:17 | 194,066,422 | 1 | 0 | MIT | 2019-06-27T09:33:20 | 2019-06-27T09:33:20 | null | UTF-8 | Python | false | false | 615 | py | models.py | from django.db import models
class Account(models.Model):
customer_id = models.AutoField(primary_key=True)
username = models.CharField(max_length=50)
password = models.CharField(max_length=200)
first_name = models.CharField(max_length=20)
last_name = models.CharField(max_length=20)
address = mo... |
9569bf7f851b467d9917b833c896eeeb90cecfaa | f0ce4bb0c6e137e593bacef40a3eb410b6809730 | /idioma/main.py | a3a13f633c8c59d4977c69762867e2e050982ba6 | [] | no_license | lopezdavid79/ISA-convert-texto-a-voz | 553aac940a7d94fc6ee4f9adc3826ba76a7248a4 | c7c1ca2263592378df06225a2e4b061da98cdf2c | refs/heads/main | 2023-09-03T04:33:10.307765 | 2021-11-08T01:25:21 | 2021-11-08T01:25:21 | 425,657,972 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 114 | py | main.py | from lang import LANGS
code = input("escriba un codigo de idioma")
print("su idioma es: {}.".format(LANGS[code])) |
1fbc309b5b2cc5f8936d392cb63abef8cb813eee | fb70374229c00d0d38c465c0ccb3f79ca04ec7a1 | /35-Counter.py | 0ebbf9e0e56a1bc7f4ffff90e2a6a5c9d3bf02da | [] | no_license | shakorj/PracticeProjects | 1895a0aa0c4fdc51870483ed2c4ab645f61b302f | c9d78170771c8910e290fab8b3cc716d7650d2ac | refs/heads/master | 2020-12-01T01:56:45.465395 | 2020-08-20T18:27:52 | 2020-08-20T18:27:52 | 230,535,860 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 220 | py | 35-Counter.py | from collections import Counter
# Counter takes a list and counts how many of each element were in the list.
fruits = ["apples", 'oranges', "apples", 'grapes', 'apples', 'oranges', 'grapes']
c = Counter(fruits)
print(c)
|
32950b8cb51fddd95321827926b971765fd7c793 | 556e752f81070a5ce97022e0e8a93b08de3a5ce9 | /tests/godfather_tests/test_gf_main.py | ea803a2f159da85fc667206e6c9356eed0056540 | [] | no_license | StefanPushkov/Minvid_parking | c6e35cd93d7605697d54d06e4079b01443dfebe9 | dd8f8b338533ebd4a348748cb0b8097a7b9873ac | refs/heads/master | 2020-07-31T10:03:59.109332 | 2019-09-24T09:55:41 | 2019-09-24T09:55:41 | 210,568,465 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,132 | py | test_gf_main.py | import unittest
import os
import cv2
import sys
print(os.getcwd())
sys.path.append(os.getcwd())
from godfather.gf_main import GFMain
from pentagon.pg_http_client import make_request
from config import CONFIG
class GFMainTest(unittest.TestCase):
@unittest.skip('Image recognition is computationally costly')
d... |
8bdd325815c7b958aa1c50530b5107bc9baec3a1 | fdbc9b0fd9b5d9a0d1bccdefedfb9a0d14f92e0c | /__init__.py | 98fd0fc83aa3f1a645de1d6955a6899111a84bde | [
"MIT"
] | permissive | sauvikbiswas/vectorlib | 2bdfbc1953e0f84a414b611246bedf1f410207e0 | 6282621302a308e1123103547443c1be45c59daa | refs/heads/master | 2021-01-21T14:01:46.681205 | 2016-04-01T02:03:54 | 2016-04-01T02:03:54 | 34,209,567 | 0 | 1 | null | 2015-04-20T16:14:21 | 2015-04-19T14:22:10 | Python | UTF-8 | Python | false | false | 332 | py | __init__.py | __author__ = 'Sauvik Biswas'
__revision__ = '1'
__rel_status__ = 'dev'
__version__ = '1.0.%s-%s' % (__revision__, __rel_status__)
__licence__ = 'MIT'
__email__ = 'sauvik.biswas@gmail.com'
__desc__ = 'Vector operations in nD space but primarily for usage in \
3D space.'
from vector import vector
from quaterni... |
82c0fbce2b2f2dc49e3ebb3bc7658b4a6446cdce | 92f7318f638a72fddcb40397ac0ec60af4235277 | /map/views.py | fbba83dbdea9f429248f31a74c892a406a1215db | [] | no_license | hy2632/project_final | 5ec90b819d2293d89b37c8b11a01a432ef0da367 | ab66cfa2db92c554de7a2d96804288fc68e49896 | refs/heads/master | 2021-09-23T07:46:19.784601 | 2019-12-09T22:28:00 | 2019-12-09T22:28:00 | 226,751,615 | 0 | 1 | null | 2021-09-22T18:05:55 | 2019-12-09T00:16:19 | Python | UTF-8 | Python | false | false | 309 | py | views.py | from django.shortcuts import render
# Create your views here.
from sightings.models import Squirrel
# from sightings.forms import SquirrelForm #Build a Form
def index(request):
sightings = Squirrel.objects.order_by('?')[0:99]
context={'sightings':sightings}
return render(request, 'map/map.html',context)
|
056f394ee7c255797a318b8c93e90c6e0bdf1629 | 40d4fe69e217119314157556f505ff491c06a42b | /listMaker.py | dda99299de2a2d28678b838c355dd4e0a0c113cc | [] | no_license | DM2350/Test | decfde5d3cf0cd41ca6ec40526a60cab1db047da | c5ec47cdda4078f6954924371941f23cc149fe8f | refs/heads/master | 2020-03-28T20:59:46.280078 | 2018-10-02T10:53:44 | 2018-10-02T10:53:44 | 149,120,926 | 0 | 1 | null | 2018-09-26T13:11:28 | 2018-09-17T12:20:37 | JavaScript | UTF-8 | Python | false | false | 1,149 | py | listMaker.py | _auth_ = "Per Jaakonantti"
_year_ = 2018
from random import randint
import csv
strings = 6 #CHANGE WHEN NECESSARY
capitalLetters = "BCDFGHJKLMNPQRSTVXZ"
capLength = len(capitalLetters)
longList = []
for i in range(0,100):
tempList = list()
tempString = str()
while len(''.join(set(tempString))) != strings:
temp... |
80f62c10fe7582c531bfe511e997ba14bdc4dc59 | 67ac354a3c380980161598acff3665c99c799f0c | /envergo/evaluations/migrations/0007_remove_evaluation_contact_email_and_more.py | ac9f7ad5591a765a9c24f14870008bcaa0a8fd19 | [
"MIT"
] | permissive | MTES-MCT/envergo | 0c03eef60d22a6910b407064b8bc32a672041edd | 3a08f780e149e900c9031f47e5e0aa983707e384 | refs/heads/main | 2023-08-31T04:43:56.731868 | 2023-08-25T09:49:44 | 2023-08-25T09:49:44 | 383,059,680 | 3 | 1 | MIT | 2023-09-11T12:55:49 | 2021-07-05T07:55:49 | Python | UTF-8 | Python | false | false | 458 | py | 0007_remove_evaluation_contact_email_and_more.py | # Generated by Django 4.2 on 2023-08-22 08:41
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
("evaluations", "0006_set_contact_emails_values"),
]
operations = [
migrations.RemoveField(
model_name="evaluation",
name="contac... |
0d745a8e37edb643c42e6d2289828b2b79651e4f | 08d5f8e8cb6b729d22732cbfe9556ddec67b8b85 | /learning_python/fileServer/fileClient.py | 152c6a91a195c0d91b82242227765c8b7c00c0d5 | [] | no_license | bilbija/hello-world | 25943a2390c49765483216f1028fdbb7618e2c0c | 0c192f9923cc6a6fb6781e466bf6eef3644fae33 | refs/heads/master | 2021-01-19T12:22:04.896091 | 2018-08-24T08:58:15 | 2018-08-24T08:58:15 | 69,262,271 | 0 | 0 | null | 2016-09-26T15:19:25 | 2016-09-26T15:06:38 | null | UTF-8 | Python | false | false | 3,501 | py | fileClient.py | #!/usr/bin/env python
# Copyright 2018 ...
#
#++
# Name
# fileClient.py
#
# Purpose
# Simple script on the client side for FilelServer
#
# References
# https://www.youtube.com/watch?v=LJTaPaFGmM4
#
# Revision Dates
# 22-Aug-2018 (ABI) Creation
#--
#
#- imports
import socket
import time
import sys
import os
... |
78659d07b67265214eb0799a84052937d558e5de | bd5461be1117b6616a96482a10be6924039293a4 | /pdf/models.py | 9d6fcece164a793cfc9c336158b829e21bd60c1b | [] | no_license | haider000/CV-generator | 1095a93cc13a5fcee03adb0046d37782007e2716 | 8ee20e63e4aacad3354c58054bf51c3886832e31 | refs/heads/master | 2022-12-22T12:05:19.509652 | 2020-09-25T15:54:05 | 2020-09-25T15:54:05 | 278,126,597 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,116 | py | models.py | from django.db import models
# Create your models here.
class Profile(models.Model):
name = models.CharField(max_length=200)
career_objective = models.TextField(max_length=2000)
address = models.TextField(max_length=2000)
email = models.CharField(max_length=200)
phone = models.CharField(max_lengt... |
86ee311428b6a3997bc5235c5f50af0442a66ff8 | 7053e3d427f40f0c09dfddcafec95034b4f06d51 | /timeStamp.py | 6d534dffe5a22b2b9500f0c213cee78fac210517 | [] | no_license | draupner1/TimeStampTools | f31f51867a59b91af0c02779455454daa8759537 | 591fadb14db6e172e19a5ea5638f107b6d476171 | refs/heads/master | 2020-07-03T03:15:25.543489 | 2019-08-11T13:29:55 | 2019-08-11T13:29:55 | 201,767,144 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,274 | py | timeStamp.py | #!/usr/bin/env python2
import argparse
import csv
from datetime import datetime
# DraupnerData Python TimeStamp postProcessing
# example execution:
# ./timeStamp.py --hide Play CurrentFile20190731.cvs
# ============================================================
def print_it(args, pa, pd, pt):
if args.hide != ... |
ac7e16b61d87f811918976efe30d07345c6808e6 | 64b289da0520737025432adf56bc50bdfaf6459f | /Car/migrations/0002_auto_20170203_1308.py | d96cd254b678d94b9663fc541f3397342a12d56b | [] | no_license | yajmliecah/src | 390fac55992bd9698cf8ffe72103bd6bb575ce81 | 387aeffa52c63f05da88ad8610e6327f01c5ff95 | refs/heads/master | 2021-01-11T18:30:53.148738 | 2017-02-21T15:41:50 | 2017-02-21T15:41:50 | 79,559,338 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 751 | py | 0002_auto_20170203_1308.py | # -*- coding: utf-8 -*-
# Generated by Django 1.10.5 on 2017-02-03 13:08
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('Car', '0001_initial'),
]
operations = [
migrations.AlterModelOptions(
... |
23d501db11557ee75e3b53db38c192823c420d38 | 029eccd843e7403503bed731867fa9cf27c0b240 | /FaceDetectionMTCNNV2/Tools/utils.py | 6d6106a2c703da57eb8a971927270e50b2843f4b | [] | no_license | Aliceyins-dev/MTCNN | 3b8c2a8cedcda4b7041c6af85960cb5c30b2a651 | ff8c05d431c83ebeda4950b61a4a4b98c373ea1c | refs/heads/master | 2021-05-22T02:25:34.272176 | 2021-04-16T02:32:08 | 2021-04-16T02:32:08 | 252,927,469 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,664 | py | utils.py | import numpy as np
def iou(box, boxes, isMin=False):
"""
计算iou
:param box:
:param boxes:
:param isMin: 是否是嵌套框
:return:
"""
box_area = (box[2] - box[0]) * (box[3] - box[1])
boxes_areas = (boxes[:, 2] - boxes[:, 0]) * (boxes[:, 3] - boxes[:, 1])
xx1 = np.maximum(box[0], boxes[:,... |
9b0de5edc6bf36e97d2f600ced4eaa17f1bb538c | f082573b4527b36f8fe58ea5b189775b6f699ba1 | /utils/cc/tests/primitives/run.py | 9bd0ffcd95adc91ebd71e2d82ee1b50d09e37081 | [] | no_license | BenJilks/SucklessTools | 582704fc97db9e9748d915211472cdacd6968453 | d8e97b4c78d7dff9f7ed8b0ae775a5b6c61c59ab | refs/heads/master | 2023-03-05T06:04:49.609040 | 2021-02-13T22:58:09 | 2021-02-13T22:59:00 | 250,108,355 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 94 | py | run.py | #!/usr/bin/python
program = cc('program.c')
program.no_errors()
program.outputs('expected')
|
2110c16657a2d5e84b20cef978fc4ccfb6450c7f | 65a6d8ac4b1355492d882ee14c02dfcf9c0977dc | /3B.py | d2c94a2e1f2a5d6076ab47671ea5c3e8d6a73f8c | [] | no_license | tommytiv/HPM573S18_Thornhill_HW3 | 4960976c56945d66ce865f231984d4d0513e7d04 | 50b58c6252df6b4b3d6d1f32d83e6a76c89de0d0 | refs/heads/master | 2021-05-04T12:56:26.011024 | 2018-02-06T19:44:10 | 2018-02-06T19:44:10 | 120,302,843 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,436 | py | 3B.py | class Node:
""" base class """
def __init__(self, name, cost, utility):
"""
:param name:
:param cost:
:param utility:
"""
self.name = name
self.cost = cost
self.utility = utility
def get_expected_cost(self):
""" abstract method to be ... |
98ff2b9894fa272b74b5a6fd1bcb7acb259ec123 | ba5e31922c77b99b743b089a99178d7622840a6d | /auction_store/models.py | 0c45b9aa01aba3bd30bea6b2a6e4e28fd881a870 | [] | no_license | Code-Institute-Submissions/Code-Institute-Project-4 | dd5c65f6374eda95f78603e91babc92d0006a9dc | d84a60c846a9dc9034e46da8518bc3b08452da22 | refs/heads/master | 2021-02-07T06:45:02.568589 | 2020-02-29T14:46:54 | 2020-02-29T14:46:54 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,001 | py | models.py | from django.db import models
from django.utils import timezone
from django.contrib.auth.models import User
from users.models import Account, Cart
from django.urls import reverse
from PIL import Image
from django.utils import timezone
import datetime
import pytz
class Item(models.Model):
image = models.ImageField(... |
ba1a265bd3f5360a0e20b07342a6a5dacfdfd781 | 8d892ed56bf5361bc30fa49e681d770fbf4e3190 | /core/nlu.py | 82bf7899bd40f21f77c24f4695fc0b0b087fe71e | [] | no_license | dobarco/civic-hackers | 41932e9251066008cc5e76f95acbdff5c859686f | f1ee60a6686bcf7d96f9b09d4a81a0e22ea17e9f | refs/heads/master | 2023-01-14T04:16:44.703435 | 2018-06-18T14:16:56 | 2018-06-18T14:16:56 | 137,605,483 | 0 | 0 | null | 2023-01-04T05:48:37 | 2018-06-16T19:30:31 | TypeScript | UTF-8 | Python | false | false | 836 | py | nlu.py | from watson_developer_cloud import NaturalLanguageUnderstandingV1
from watson_developer_cloud.natural_language_understanding_v1 \
import Features, EntitiesOptions, KeywordsOptions, CategoriesOptions, MetadataOptions, RelationsOptions, \
SemanticRolesOptions
def insights(text):
natural_language_understanding = N... |
d6b285050d6afe90f5a4158973231257038ce33f | 9657137623c998e5267344fa4ba309be4529bb0e | /pyapinizer/tornado.py | 8f07d3f7152ac13289d3f6befccf2db3fbce0ef6 | [
"MIT"
] | permissive | osoken/pyapinizer | 386a086307cec294053f1634345a86614d405a78 | 785f57ff80be239f91a66dfec3ba9ce4a78a9a50 | refs/heads/master | 2021-01-12T09:22:46.837366 | 2016-12-11T15:05:57 | 2016-12-11T15:05:57 | 76,154,718 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 315 | py | tornado.py | # -*- coding: utf-8 -*-
import json
from tornado.web import RequestHandler
def generate_handler(func):
class Handler(RequestHandler):
def get(self, *args, **kwargs):
argdict = dict(kwargs, **self.request.arguments)
json.dump(func(*args, **argdict), self)
return Handler
|
240f4af547e209604b6825792a2f0b1cc0cb35b3 | efb0ae75d9e0f0099b091d23b8af89bfa90c4e12 | /quiz/pslist.py | 80f7ddef31eee5cb02624e8eaa4b85ddc0d27346 | [] | no_license | kang9693/pybasic5 | acb7972584ca13fb5b3ba39c1aedddbdc85bdae6 | 8dccf13e17c1b83e7f88347ed37d3873e3ba8512 | refs/heads/master | 2020-12-30T16:59:17.808777 | 2017-06-11T09:21:30 | 2017-06-11T09:21:30 | 91,048,568 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,771 | py | pslist.py | import os
import sys
import re ### 정규식 이라는것 이용해서 할꺼입니다.
#pid 가 값이 정상적으로 체크 되도록 보안하세요.
#pslist=os.system("tasklist | findstr 현금인출기.exe")
pslist=os.popen("tasklist | findstr 현금인출기.exe") ## command 명령어이용해 실행 결과를 파일로 기록할수 있어요.
print(type(pslist))
while True:
line = pslist.readline()
#if not line:break
#f=open("p... |
da7568c6b10d9e12e21b69013ab82932d716b7d3 | 68d22c537557d3b8369c3ef3f4e88cea04fa1209 | /old/learn/Learn8.py | ae4ee5655afd4a4e5349b048be6d1308993dc1ce | [] | no_license | clwater/lesson_python | 3d245be3b235ced4f40555049c3e695d18f97054 | 3753427e64dd445c4e8a147a298dea28317a6bd2 | refs/heads/master | 2021-01-20T18:10:01.770512 | 2017-01-10T11:16:15 | 2017-01-10T11:16:15 | 61,725,068 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 807 | py | Learn8.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# self.name = name
# self.score = score
# class Student(object):
#
# def __init__(self,name,score):
# self.__name = name
# self.__score = score
#
# def pr(self):
# print('%s : %s' % (self.__name , self.__score) )
#
#
# list1 = Stu... |
d00082b9d952290823f31d6614763614c28c25d5 | 1c1961f8ed56c6852fd2a43a5c47283eb930767c | /Python/RanjanPaudel/task1/store_result.py | 55ec2305ec033417dea7c74084cb465bd897bbeb | [] | no_license | leapfrogtechnology/lf-training | 4a2c22d06519c4b49638e5f7519268c9e8f2347a | 6d18c6d152a1dddfa6e5711c91321a4d7a745517 | refs/heads/master | 2023-01-28T16:00:52.805472 | 2020-09-14T11:40:02 | 2020-09-14T11:40:02 | 283,126,079 | 1 | 15 | null | 2020-11-30T07:55:02 | 2020-07-28T06:48:44 | Python | UTF-8 | Python | false | false | 3,554 | py | store_result.py | #!/usr/bin/env python
import csv
import argparse
import datetime
import pathlib
from text_constants import (
STORE_RESULT_USAGE_EXAMPLE,
STORE_RESULT_NAME_HELP,
STORE_RESULT_DOB_HELP,
STORE_RESULT_SUBJECT_HELP,
STORE_RESULT_TOTAL_HELP,
STORE_RESULT_SCORE_HELP,
STORE_RESULT_STORE_HELP... |
124ea3d467c0f77ce527397c742aa2b59144a85b | d1ea426d87f68e512df00a555ea10518372cc300 | /google/cloud/bigquery_storage_v1/types/__init__.py | 3f1f0498e119fce21eaa71f1c2e0862f5eb35dd0 | [
"Apache-2.0"
] | permissive | googleapis/python-bigquery-storage | a3e1f21c926a2230700c00121ece087576d72b57 | 9550ea666721f5dac5b708e2537de29a9bef7cd9 | refs/heads/main | 2023-08-27T22:51:32.069495 | 2023-08-23T22:56:41 | 2023-08-23T22:56:41 | 226,992,483 | 89 | 40 | Apache-2.0 | 2023-09-14T13:41:24 | 2019-12-10T00:09:08 | Python | UTF-8 | Python | false | false | 2,406 | py | __init__.py | # -*- coding: utf-8 -*-
# Copyright 2023 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... |
0395c1d527eeb26ed958fff1c58065bf88c6eb47 | 81f59ce6af8c11037d4efc8662800d1d63417931 | /tensorflow edge OP.py | 17051f23f146c52f08b3f9adb7d322a0d096ea40 | [] | no_license | m-L-0/18a-LiZelu-2016-363 | e9fa7f77ca4146b6892452249340bf9a7e670859 | ace2f19bdeaa4f15acf7a56cdbc2e7d1485f652f | refs/heads/master | 2020-04-01T16:11:45.176601 | 2018-12-10T02:29:05 | 2018-12-10T02:29:05 | 153,370,069 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,242 | py | tensorflow edge OP.py | import tensorflow as tf
import numpy as np
#1.边edge
#数据依赖
a = tf.constant([[1.0,2.0,3.0],[4.0,5.0,6.0]],name = 'a')
b = tf.constant([[1.0,2.0],[3.0,4.0],[5.0,6.0]],name = 'b')
c = tf.matmul(a,b)
d = tf.add(c,5)
with tf.Session() as sess:
print(sess.run(d))
#控制依赖
# g = tf.get_default_graph()
with tf.control_dep... |
d5dd784137bdd57c6f7eee7a94bbbc21065e8218 | 0a7711063b30b1566ade3cc07f105292e32fe6d6 | /scrapy_test/aggregates/result/constants.py | 59c6e0660713633fb2572ab4ef62a0b861324c81 | [] | no_license | huokedu/dynamic-scrapy | e150a1fc6894e39d6bae37c602a592d57cd22c51 | 31a47e9810f2039cfe33653e09d7d03242764723 | refs/heads/master | 2021-01-17T21:33:17.810250 | 2013-10-05T17:28:19 | 2013-10-05T17:28:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 54 | py | constants.py | NEXT_RESPONSE_SEP = u'\n\n==== Next Message ====\n\n'
|
8159f1164567379b715edcb6d30520a6feda6ffc | 6a61667e176b06ccdef07e84d79b382b2fb491bb | /app/skills/views.py | 67fda31274915e97898858c44411c6a16e57f068 | [] | no_license | vsokoltsov/Interview360Server | 333f08f13b33ef88928b3e4b844f60e72ebec809 | 252b0ebd77eefbcc945a0efc3068cc3421f46d5f | refs/heads/master | 2022-12-11T05:38:01.310133 | 2019-03-24T17:47:09 | 2019-03-24T17:47:09 | 95,320,167 | 2 | 3 | null | 2022-12-08T04:54:08 | 2017-06-24T20:09:08 | Python | UTF-8 | Python | false | false | 1,176 | py | views.py | from django.shortcuts import render
from rest_framework import viewsets, status
from rest_framework.decorators import detail_route, list_route
from .models import Skill
from .serializers import SkillSerializer
from rest_framework.permissions import IsAuthenticated
from rest_framework.authentication import TokenAuthenti... |
976b452adb483bf893ea15a7b2ae7239b16aa89b | 72015ffa94d0748a12b6308b1b9a4d81272fbcbc | /interpretacao_gaussSeidel.py | 9553247d3f5837a89c549c1d2a0f70431c2d8ff1 | [] | no_license | wagnernegrao/Math-Computational | ba6e633e1ff68c07669462affab43a466d9554ef | 9622898a9af86369b30169f164ecbcfc92d804bb | refs/heads/master | 2020-04-13T06:32:23.346862 | 2018-12-29T00:51:27 | 2018-12-29T00:51:27 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,284 | py | interpretacao_gaussSeidel.py | import numpy as np
import matplotlib.pyplot as plt
def iteracao_GaussSeidel(new_array):
x = new_array
new_x= np.zeros(2)
new_x[0] = 3 - x[1]
new_x[1] =(3 + new_x[0])/3
return(new_x)
def eq1_Seidel():
limite = np.arange(-5, 6)
eq1 = np.array([], dtype=float)
for i in limite:
... |
636b73d1b2ef68533c1c08580be56ac5d8a3774c | 4a759d54f436b2e69d3b4801d2fcad81e48c179b | /qualipy/filters/whole_blur.py | 35b0a4714729af3a11f7fdcc73eaf0aa37d6f8d8 | [
"MIT"
] | permissive | vismantic-ohtuprojekti/qualipy | 6417e3882d633b7efdaccf6261cfd06fafd6875b | ef863fc762cf881af7700df83fa9ca0807a41fbd | refs/heads/master | 2021-01-18T12:41:32.526165 | 2015-08-28T14:48:30 | 2015-08-28T14:48:30 | 35,488,757 | 26 | 7 | MIT | 2020-02-16T15:14:30 | 2015-05-12T13:15:31 | Python | UTF-8 | Python | false | false | 5,129 | py | whole_blur.py | """
Filter for detecting blurred images.
Four focus measure algorithms that are described in "Analysis of focus
measure operators for shape-from-focus" (Pattern recognition, 2012) by
Pertuz et al are applied to the whole image. Focus measures measure
the relative degree of focus of an image, and the implementations ar... |
a5457620c67a4785d7cea54676026e5f2d9d093f | bcf412c53cd746af56c6e6942639110ce6b37c3b | /adv_lib/distances/lp_norms.py | 6fb853a53afa50f17845835136779e9c863f3686 | [
"BSD-3-Clause"
] | permissive | jeromerony/adversarial-library | 92472f41727343bca56b5f87398cba744b667bd8 | 949a960e185fe2aed964a49d27258c7f638b13f8 | refs/heads/main | 2023-05-24T16:14:08.943833 | 2023-05-19T00:22:48 | 2023-05-19T00:22:48 | 315,504,148 | 112 | 17 | BSD-3-Clause | 2021-08-06T00:10:50 | 2020-11-24T03:07:47 | Python | UTF-8 | Python | false | false | 539 | py | lp_norms.py | from functools import partial
from typing import Union
from torch import Tensor
def lp_distances(x1: Tensor, x2: Tensor, p: Union[float, int] = 2, dim: int = 1) -> Tensor:
return (x1 - x2).flatten(dim).norm(p=p, dim=dim)
l0_distances = partial(lp_distances, p=0)
l1_distances = partial(lp_distances, p=1)
l2_dis... |
485f85ec5e3f38148978453ea5e7f9a54eb310e1 | dbd188cdba5ad847e5a78d5faf1a47a37b92040f | /src/main/python/oop/Components/Table.py | 47be845bde70c2bb84bfbb2c7334c8da0eb2fd47 | [] | no_license | shossains/Interactive-Data-Visualization | 1035848ecc715d484cefda24b88298a3a427dc80 | f96e471a848e193562e2887735ca31177f9a00f5 | refs/heads/master | 2023-06-25T05:42:13.466608 | 2021-06-17T22:31:06 | 2021-06-17T22:31:06 | 388,196,090 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,509 | py | Table.py | import dash_table
import pandas as pd
import dash_html_components as html
import dash_core_components as dcc
from dash.dependencies import Input, Output
from dash_oop_components import DashComponent
import dash_table
import dash_bootstrap_components as dbc
from dash.dependencies import Input, Output, State
from dash_oo... |
bdc9856bfc61127d6bca31658b1faf3da09f5b86 | 114836ee4f3564ff29d88cd0dd62159487d133dc | /aci_demo_create_subnets.py | fbe14fb5e75638fabafbb3cc60ee627dc01fdcc8 | [] | no_license | mikewiegering/bdmigration | 57ac2574a507873b03baf4b4d2ef1f10854a659e | 242cbe0ee6bfdd00009cbc75d0bca3d65d392d96 | refs/heads/master | 2022-10-05T11:26:34.526339 | 2020-05-29T17:57:36 | 2020-05-29T17:57:36 | 263,749,850 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,773 | py | aci_demo_create_subnets.py | #! /user/bin/env python
import requests
from getpass import getpass
import csv
# Set up the variables
with open("ACI PostMan Variable Values.csv", encoding='utf-8-sig') as csvfile:
reader = csv.DictReader(csvfile)
for row in reader:
print(row)
print("Let's configure the subnets... |
debd51b923a6fc3b278a5083478bfb271a5913a8 | 51d5fc0a8ff2e50e2f0feb1e9de8644675d853e5 | /tests/test_i18n.py | b6c5a14725b10f4a52c980d7ba861e7499a42abd | [
"Apache-2.0"
] | permissive | romainkotarba/shellbot | d645dc4e44b4fc6e646d7b76d9692d47810542cf | daf64fbab4085d1591bf9a1aecd06b4fc615d132 | refs/heads/master | 2021-05-06T16:31:04.458831 | 2017-10-22T22:57:50 | 2017-10-22T22:57:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,914 | py | test_i18n.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import unittest
import gc
import logging
import os
import mock
import sys
import time
from shellbot import Context, Engine
from shellbot.i18n import Localization, localization as l10n, _
class LocalizationTests(unittest.TestCase):
def test_default(self):
lo... |
5917c891d2885f779dc33f189f1a875efbd0c302 | 7ba9459b8545035f475a4742ae72b174ed107777 | /models/v1/model_base.py | 2f630013f02a4c2041fb7c8b5b0e69ad9c55cdbd | [] | no_license | silencezhao90/gree-server | 91d7f06c6e7e196d1565386d96cfe7eafb8d1416 | b453ef4dbd6a01e693f8ee19a515e48895c929e9 | refs/heads/master | 2021-06-22T20:44:26.448266 | 2019-10-23T06:49:00 | 2019-10-23T06:49:00 | 216,986,748 | 0 | 0 | null | 2021-05-06T19:48:21 | 2019-10-23T06:44:07 | Python | UTF-8 | Python | false | false | 3,517 | py | model_base.py | from abc import ABCMeta, abstractmethod
from datetime import datetime
from enum import Enum
from application.response import ResponseError
class ModelBase:
__metaclass__ = ABCMeta
@classmethod
@abstractmethod
def _get_cls_schema(cls):
pass
def __new__(cls, schema):
if schema is ... |
41417e3ce52edf6aee432886bbab6d16ec5bc88d | 7610dc33304c1a848bc448c200f44489068d8a74 | /models/model_rnn_torch.py | ffeb712767dc52ed8ab27343bf0fcfb116a38230 | [] | no_license | lcaamtb/text_classification_pytorch | a5aeb57c5cbaa0d7e7257353584b32f9a0ab18a2 | e4c1b35e6103900d78c7af4779637d4574d6249d | refs/heads/master | 2020-03-30T10:47:46.143848 | 2018-10-01T19:19:46 | 2018-10-01T19:19:46 | 151,136,611 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,342 | py | model_rnn_torch.py | """
Created on 01/10/18.
Author: morgan
Copyright defined in text_classification/LICENSE.txt
"""
import torch
import torch.nn as nn
from torch.autograd import Variable
import torch.nn.functional as F
class RNNClassifier(nn.Module):
def __init__(self, batch_size, num_classes, hidden_size, vocab_size, embed_size, w... |
9a55ccf758b4b2cc440153ab3b1f97823863a848 | 9db2421c724cc4ad547b0d9b697689c2c13d613c | /tsmt-master/tsmt/models.py | 8a2915df7c3ae96221c2b4c923f615615fa3048f | [] | no_license | navneetpathania374/Aunthony | b6b68164544c223825c7cad898224b61dffaf16e | 6fca2281d3299eda5001deee73d70855bf593ac0 | refs/heads/master | 2022-11-26T04:44:16.551855 | 2019-10-16T13:17:42 | 2019-10-16T13:17:42 | 215,467,487 | 0 | 1 | null | 2022-11-22T04:17:38 | 2019-10-16T05:51:39 | Python | UTF-8 | Python | false | false | 235 | py | models.py | from django.db import models
# Create your models here.
class Logins(models.Model):
created = models.DateTimeField(auto_now_add=True)
login_addr = models.GenericIPAddressField()
hostname = models.CharField(max_length=200)
|
6c0b2fa8166bb21a514dc188858e1de285ad9b0a | e58e349b1e7899c23ebee143cd7fed9a079c3fcf | /src/Products/urban/content/licence/PatrimonyCertificate.py | 84ed0ab658dc058545765703f61b36be7d6ad796 | [] | no_license | IMIO/Products.urban | 8ebfe1ae2166c36823e7b64d49ee42bccca80567 | 4d1cc1ab86fbf5e18d745b9297f0c6326c0f4811 | refs/heads/urban2.6.x | 2023-08-15T10:34:52.761734 | 2023-08-14T09:51:16 | 2023-08-14T09:51:16 | 125,059,498 | 1 | 1 | null | 2023-09-11T12:08:15 | 2018-03-13T13:54:30 | Python | UTF-8 | Python | false | false | 3,857 | py | PatrimonyCertificate.py | # -*- coding: utf-8 -*-
#
# File: PatrimonyCertificate.py
#
# Copyright (c) 2015 by CommunesPlone
# Generator: ArchGenXML Version 2.7
# http://plone.org/products/archgenxml
#
# GNU General Public License (GPL)
#
__author__ = """Gauthier BASTIEN <gbastien@commune.sambreville.be>, Stephan GEULETTE
<stephan.ge... |
d327151c9659078e12e4aca46631de33e7ca4dcf | 8223eeb4920f6c2d93f357e46df6988c974760b3 | /tcrpower/powercalc.py | dad45b96dba78d73c392a0c93af525e06e50ce6a | [
"CC-BY-4.0"
] | permissive | GabrielBalabanResearch/TCRpower | cfa0cde5a031e76b959a6b0ccf33d0554f8ea6f8 | 9b128fa6253e49e7190279dbda219f60874b9da4 | refs/heads/master | 2023-04-14T00:12:19.946953 | 2022-02-04T13:31:26 | 2022-02-04T13:31:26 | 304,367,367 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,352 | py | powercalc.py | import numpy as np
import numdifftools as nd
from scipy import stats
from scipy import optimize
from functools import partial
class TCRPowerCalculator:
def __init__(self, pcmodel):
self.pcmodel = pcmodel
self.predict_variance = self.pcmodel.predict_variance
self.predict_mean = self.pcmodel.predict_mean
self.... |
704b3c57ca080862bed7a4caa65d1c8d5a32fa0b | 80f78b8ec268af8936a50363a22904fdae5a949c | /onmt/modules/CopyGenerator.py | eecb0894421d73bb6fb881a18d5b05fcda927caa | [
"MIT"
] | permissive | ixaxaar/OpenNMT-memnets | 5045ce5d9f8112208bd3e5abe08ea5b1e433a7d1 | 1bfe9f94d2422cd4d8dde7987159d650855becde | refs/heads/master | 2021-08-26T09:25:59.033164 | 2017-11-22T21:19:31 | 2017-11-22T21:19:31 | 100,709,163 | 0 | 0 | NOASSERTION | 2022-08-18T07:59:51 | 2017-08-18T12:19:49 | Python | UTF-8 | Python | false | false | 2,362 | py | CopyGenerator.py | import onmt
import torch.nn as nn
import torch.nn.functional as F
import torch
import torch.cuda
from torch.autograd import Variable
class CopyGenerator(nn.Module):
"""
Generator module that additionally considers copying
words directly from the source.
"""
def __init__(self, opt, src_dict, tgt_d... |
630011b188548df9e55b6f1ddbefa08e322b9cba | 4b329716101b13be4bbd2642320576045e3070ad | /features_builder.py | 09c8cabf676bba01978a4c2ad22947ebe15b08c2 | [] | no_license | tf369/Img_Retriveler | 8d24c7ef58345a418ffb3de9f420fbc7b8351453 | 0ba051cb15b027ab6f144abeeaab9a8afa6a179b | refs/heads/master | 2022-09-18T17:23:15.650628 | 2020-05-30T12:30:02 | 2020-05-30T12:30:02 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,801 | py | features_builder.py | from datetime import datetime
import cv2
import numpy as np
from sklearn.cluster import KMeans,MiniBatchKMeans
class FeatureGetter(object):
def __init__(self):
self.sift_det = cv2.xfeatures2d.SIFT_create()
def get_img(self, img_path):
img = cv2.imread(img_path)
return img
def get_fe... |
b3fe84d36d03670f472a652bf76a77b2b8e065e8 | d77da1ebecc6fbf4e43eebd924012f27c5ed33c8 | /src/models/utils.py | b22a99a0d51b6f1373112e487856f0828fb4c715 | [] | no_license | Ksyula/churn_prediction | 570ceaf424ffe948ea3c81b1497c2674ea0dc902 | 5978c21636f0a1af97994b437aabcf817edaafd0 | refs/heads/master | 2023-06-25T06:05:58.725218 | 2021-07-31T17:07:09 | 2021-07-31T17:07:09 | 388,353,622 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 565 | py | utils.py | import numpy as np
from sklearn import utils
import sklearn
import pandas as pd
def normalize_data(dataset: np.ndarray, scaler: sklearn.preprocessing._data.StandardScaler) -> np.ndarray:
dataset_scaled = scaler.fit_transform(dataset)
dataset_scaled = np.expand_dims(dataset_scaled, axis=2)
return dataset_s... |
24d77d87ca610bffcdf8ae182138c7a02a4c6514 | 506cbfa9a32b4262e0a2f011e2142bc94d5631b5 | /Python/Palindromecheck.py | a65bc536c6d28d7f079839f2453b2bbf6a40bebd | [] | no_license | Rajath-55/DS-A | cdf68a86a9c989e70c2c68154fab76e424240342 | 208fbe58a83efb4093e69dfdc45a6c24fba8981f | refs/heads/master | 2023-03-26T13:47:41.228501 | 2021-03-27T11:02:20 | 2021-03-27T11:02:20 | 255,015,132 | 0 | 2 | null | 2020-09-30T18:49:29 | 2020-04-12T05:26:50 | Python | UTF-8 | Python | false | false | 178 | py | Palindromecheck.py | def isPalindrome(string):
# Write your code here.
reversedstring=""
for i in reversed(range(len(string))):
reversedstring +=string[i]
return reversedstring==string
|
c4f6ff65db5e65d694e2a4662313fe62978c39de | 5ad39578330e30d378f889ead1a2ff528fa646df | /python-package/src/nichtparasoup/__init__.py | d2c80ec420da5427cb9b32d8da4ea450a218ba6a | [
"MIT",
"CC-BY-3.0"
] | permissive | k4cg/nichtparasoup | 515572362e3f141fbdd24b05ba6a1e8594721734 | 595ff90bc8c89a6b5835fed1c1639110783cde63 | refs/heads/3.0-dev | 2023-06-07T23:59:29.327662 | 2021-12-04T09:36:18 | 2021-12-04T09:36:18 | 18,908,431 | 37 | 16 | null | 2023-01-21T09:14:26 | 2014-04-18T09:08:17 | Python | UTF-8 | Python | false | false | 151 | py | __init__.py |
# use SemVer -- https://semver.org/
# be compatible with https://www.python.org/dev/peps/pep-0440/#public-version-identifiers
__version__ = '3.0.0a2'
|
d2f6b541a356a3a7666eea3fc4219e79b61221b2 | 146e4e5360be87c027dda379dfa0988c2ddb4a35 | /hiver.py | 5f8dbd62ebccf0a3f9e6ff9a71c4666afa7c1e06 | [] | no_license | dataspider99/websiteclassifier | 10469a058530b1de31b729e627a5928e7a4444ad | 49c3d3281e4d4f385363a13182d09daf9e30960c | refs/heads/master | 2020-04-13T15:29:07.149107 | 2019-10-31T07:39:18 | 2019-10-31T07:39:18 | 163,292,818 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,953 | py | hiver.py | import requests
from lxml import html
import re
from urllib.parse import urljoin
import string
from nltk.stem.wordnet import WordNetLemmatizer
from nltk.corpus import stopwords
import os,sys
import nltk
path = os.path.dirname(os.path.realpath(sys.argv[0]))
nltk.data.path.append(path+'/nltk_data')
site_url = "https://... |
3059d0e8ee142af3ffaf48f55b325fb16cba56de | 38c704f2c769652eab64b03219153b3442563063 | /sechigh.py | 508c1fee36ffb9c4a67e5036aab97f77e88a4217 | [] | no_license | ameymahadik1997/amudi97 | 86d1e52d1257855c6404579c2c20fcd39a09d15e | 893402454527b9c69b1b5e6c873142a1bcc5a189 | refs/heads/master | 2020-09-05T03:31:12.724561 | 2019-11-13T13:57:13 | 2019-11-13T13:57:13 | 219,969,759 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 322 | py | sechigh.py | #To print the second highest number in the
given list
ch=[]
c=0
nums = [-1 , 14 , 23 , 0 , 2 , -9 , 19 , -8 , 3 ]
for i in nums:
if i>0:
ch.append(i)
print(nums)
ch.sort()
l=len(ch)
c=ch[l-2]#because range starts from 0 so 'l-1' gives an error of IndexError
print('The second highest number in the given list =>',c)
... |
1f0d06635ab0432bd8084008d8cbe6d3cb51fa7e | 20cb1105a6aec65415e5d5458dfa2f5033cc07fb | /yangjie/123.py | 28c090f5759e13acbf68e93b566c2bacc8314ad4 | [] | no_license | sunnyding602/bia660 | d2f8894c6444ab345cb7984485d47550744d1b13 | 0ee639a10fa3269b5132559aa9ef25e9b65478fa | refs/heads/master | 2021-01-10T03:06:08.759462 | 2016-01-18T16:16:01 | 2016-01-18T16:16:01 | 49,888,406 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,472 | py | 123.py | # -*- coding: utf-8 -*-
"""
Created on Thu Dec 3 15:11:59 2015
@author: yangjie
"""
import re
import string
#import urllib2
fileReader = open('data.txt')
fileWriter = open('out.txt','w')
def inNormalRange(num):
if(string.atof(num) >=0 and string.atof(num) <=17):
return True
else:
return Fals... |
d8c748d94fe3aeef5c2327db6948fd0011c402b1 | 29b327d64b0e346c0a54f8321c2c95ffa17eb4aa | /main.py | 019dcc783895d4d237a09e884d3a29e48e221ad8 | [
"Apache-2.0"
] | permissive | ReanGD/py-invest | a2b3cf29a143415c253691be1f1b3aa9ea4703b4 | 61964e3dae1bfccce02552ca1d3f1850c8658828 | refs/heads/master | 2023-05-31T14:23:49.861489 | 2020-04-12T22:12:26 | 2020-04-18T22:13:02 | 254,889,150 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 841 | py | main.py | import os
import logging
import pandas as pd
from storage import FStruct, FStorage, MARKETDATA
from website_api.load import Loader
def load():
engine = "stock"
market = "shares"
board = "TQBR"
root_dir = os.path.dirname(os.path.abspath(__file__))
fstruct = FStruct(root_dir)
fstorage = FStorage... |
3b682f83bcbf1e813ed1f68d22edd227b8c1e22b | 6b5c466d250a53d63de039fbf4ee7da9f176b2dd | /Codeforces Problems/Games/Games.py | ee8ce97ac7c6560fc8d41e4961bb998414085986 | [
"MIT"
] | permissive | Social-CodePlat/Comptt-Coding-Solutions | d57e59e71a176612905f3d40adf86d8a2221f9c4 | 240732e6c1a69e1124064bff4a27a5785a14b021 | refs/heads/master | 2023-04-21T09:23:52.073090 | 2021-05-27T18:20:55 | 2021-05-27T18:20:55 | 303,801,412 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 255 | py | Games.py | n=int(input())
list1=[]
list2=[]
c=0
for i in range(n):
a,b=[int(x) for x in input().split()]
list1.append(a)
list2.append(b)
for i in range(len(list1)):
for j in range(len(list2)):
if list1[i]==list2[j]:
c+=1
print(c)
|
14ed293a73e99b75fc8a5d825b7c9f8cdf87abf4 | 150fe2f30305ebaa369b4de12ca497e52d4c63f2 | /lpl.py | fdef85dcb958cdfe7c51ea63b86241b4a7dc4963 | [] | no_license | nickboot/selenium | 16932709bb7bd6aadea609ebb5f0ddd2366beeeb | 191683ad1cfc4de9a128ed2f61e13bc4e36c4721 | refs/heads/master | 2021-09-20T19:16:36.912083 | 2018-08-14T09:33:03 | 2018-08-14T09:33:03 | 106,889,428 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,171 | py | lpl.py | # coding:utf-8
# coding:cp936
from selenium import webdriver
from time import sleep
browser = webdriver.Chrome() #调用谷歌浏览器
#options = webdriver.ChromeOptions() #调用谷歌浏览器设置
#options.add_argument("--start-maximized") # 启动时最大化，Mac不能最大化
#options.add_argument("--kiosk") # 启用kiosk模式。（一种类似于全屏的浏览模式）
#browser = we... |
2ea012d44c348cad142cc1d3d9d22ac78bb7e307 | 78e6c64920a65f1605f2368d4b0a47e25f0b28c5 | /agc037/a/main.py | 42772eb09af57ee65d6921a795e8896d8b9d9409 | [] | no_license | melank/atCoder | b8dce4f30ffbfd930e0f0c4fa7579228baae8d2a | 606b0c84f2f4864869868e948f702f5833a6a062 | refs/heads/master | 2023-08-05T06:08:39.209811 | 2021-09-24T14:10:29 | 2021-09-24T14:10:29 | 328,083,168 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 406 | py | main.py | s = input()
line = list(s)
cnt = 0
current = ''
first = True
for c in s:
if first and current != c:
cnt += 1
current = c
# print(current)
# 2連続で続いた場合
else:
if first:
first = False
current += c
else:
# print(current + c)
... |
4a031d42ff004516106daabd51b8c07ca9b45159 | 1b2927e05dfd826c17aa4acda0ac43c39195d1ab | /gameplay.py | 1626755a5d3d491234360128f923850bbf5118aa | [] | no_license | xiuxiuer/deep_q-learning | 7900ec286cc934665b60bb603d417994ffcdbd6e | c1fde77861e7a4465b121d221bacd7fd9d5dd3fe | refs/heads/master | 2020-03-19T14:31:30.960075 | 2018-06-08T14:52:12 | 2018-06-08T14:52:12 | 136,626,936 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,322 | py | gameplay.py | import numpy as np
import matplotlib as plot
from copy import deepcopy
import dqn_gameplay as dqn
dqn_gp = dqn.DQN_gameplay()
class Fight_battle:
'战场过程'
step_try_best = 10
dict_RStatus = {}
action_base = [[20,-1,-1,-1],[-10,5,-1,-1],[-10,-1,5,-1],[-10,-1,-1,2]]
#init
def __init__(self,dict_r... |
f1827a1a1568a25e34e5d17e6043b19bd5f47ae9 | 78c6e0cae433880a53f728d4ab4b5ac9edfd842d | /Data/NMR/nmr_loader.py | 6c0294047a7cc15ef7d154bee77599c42549460c | [] | no_license | jaak-s/graphinformer | 6ea5e475d46b1a9da100374f66160039c2731ac8 | 35ab05285b4274ca10f3794227dc29eb67501773 | refs/heads/master | 2023-03-25T19:07:18.154091 | 2021-03-13T13:58:29 | 2021-03-13T13:58:29 | 347,383,419 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,316 | py | nmr_loader.py | import graphinformer as gi
import numpy as np
from torch.utils.data import DataLoader
def loaders(data_file="./nmr_webo.npy", folding_file="./folding0.npy", batch_size=128, add_adj = False):
nmr = gi.MolDataset.from_npy(data_file)
folding = np.load(folding_file, allow_pickle=True).item()
data_tr =... |
97502f2e1aec3097cf85defebfdf3e369fb235f0 | d746413ce59f57875f6a74903123774ad3965969 | /app/views.py | d77e3e4cb3099046b794792862b3825f2bcf6d2c | [] | no_license | kunato/traffic | 8bd7450dc3c8c4597076903a82b16fd5a1b60faf | 578d84ff4ed61bf2a979e04769ceee492f60a9d2 | refs/heads/master | 2016-09-02T16:29:39.067498 | 2015-05-25T08:20:28 | 2015-05-25T08:20:28 | 32,980,500 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,066 | py | views.py | #view.py
#Author Kunat Pipatanakul
from django.shortcuts import render,redirect
from django.http import HttpResponse,JsonResponse
from models import *
from app.tasks import *
import json
import helper
import datetime
import simplejson
from django.core import serializers
from django.contrib.auth import authenticate, log... |
1ecc94e23596b7cf068482e62ee6b89bf851e3a2 | 5e9cafd03d313c043944d5c05675d2a253ea4888 | /homework6.py | d2c9221eb47ac7b2afcc0f2997a6b0d0af9b7a32 | [] | no_license | pamgluss/introToPython | e57cbefb2d389b8c5e090302fca51a76730ee16d | c78f6c9c618750bdd35f2bf11dfd7ea6be1b0b8a | refs/heads/master | 2021-01-11T14:16:13.605278 | 2017-03-29T00:21:35 | 2017-03-29T00:21:35 | 81,277,351 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,388 | py | homework6.py | # Intro to Python homework 6
# Pamela Gluss
class Card():
counter = 0
# init takes in rank and suit, and assigns self.rank and so on to the inputs
def __init__(self, rank, suit):
# First, we'll set parameters for error throwing
if type(rank) is not int:
raise TypeError(... |
1ffc89c19cc1c90c61ea871c9f6f6eee732e3769 | 4d8e8a8b9a67057abc8fe4da03f063aa902f5388 | /app.py | c727b42c395eaf0e68da1fbd21a32a141b1b8bb8 | [] | no_license | leojossa/Flask-FrontEnd | 23f3a25d6a46a80eb62e930bbfbefe8d95923011 | 4ff74c75765aa0cc8c5e609508013f0cb2442b95 | refs/heads/master | 2022-12-31T14:06:13.265610 | 2020-10-14T13:22:08 | 2020-10-14T13:22:08 | 282,077,342 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,414 | py | app.py | from flask import Flask, jsonify, render_template, url_for, request, session, logging, redirect, flash, Blueprint, make_response, Response
from flask_restplus import Api, Resource, static
from sqlalchemy.orm import scoped_session, sessionmaker
from passlib.hash import sha256_crypt
from functools import wraps
from datet... |
a0c0a78c1745505403a0515bd4f870f609ed343b | 480b0cbf81c3bda6ebdf40d6e4afdcc28e74bc3b | /__init__.py | 0e3e7c5edb089e95f00e0c74b875e44aca5745da | [
"MIT"
] | permissive | mahar/pyMie | b34763f3a80fbb55c13abc6ebd87b9b7a6d90142 | 16232d54d2b0f686b733478a8fc3e13126a387b9 | refs/heads/master | 2021-01-19T19:14:55.327835 | 2017-03-30T00:12:05 | 2017-03-30T00:12:05 | 86,640,601 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 74 | py | __init__.py | # file: __init__.py
from pyMie_core import *
__version__ = '2.0.0' |
3b1e319ee9058fabc1b296f8a030bf5b679bd3b4 | f9bcdd1c8567d015d958e9d5aee48cd540c32d03 | /gui_grid.py | 5a03af15ee3c5410c1331284cab435730ae0bd30 | [] | no_license | JaehoonKang/GUI_Python_CS110 | c280b433c38eda3433518468d1892694757b4ce0 | f06c8f76bcd26ef355e2a6749501311ef87477e7 | refs/heads/master | 2020-04-08T03:24:17.060815 | 2018-11-25T22:01:16 | 2018-11-25T22:01:16 | 158,974,414 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 626 | py | gui_grid.py | from tkinter import *
root = Tk()
def checkState():
#print(var.get())
if var.get() == 1:
print("Checkbox is changed")
else:
print("Not changed")
label_1 = Label(root, text = "Name")
label_2 = Label(root, text = "Password")
entry_1 = Entry(root)
entry_2 = Entry(root)
label_1.grid(row=0, ... |
130c38278cbfd161996835bb9d1c312131b4f948 | 7d370c367725b7d7bcb6e3b74ebd94c83177df53 | /housingbook/migrations/0001_initial.py | 4cd28dc9277e622cdf94d3440174956237f1c03d | [] | no_license | leroyjenkins66/GreenHB | 4c7f22572946f557b244f272fe8151d35dda425d | 23387f502b9406c55e93ea65bb9383da6fa7fc28 | refs/heads/master | 2020-09-14T15:05:09.089958 | 2019-11-21T22:59:43 | 2019-11-21T22:59:43 | 223,163,873 | 0 | 0 | null | 2019-11-21T11:58:50 | 2019-11-21T11:58:49 | null | UTF-8 | Python | false | false | 2,197 | py | 0001_initial.py | # Generated by Django 2.2.7 on 2019-11-20 11:45
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Apartment',
fields=[
... |
8b591ed8f23208c310ff27e20060bff9969339ba | 05083971e043bfaae82b4300bf27142027885605 | /Project4/rawhttpget-old | 7e4a2d6dc36fedb9d0636ed065bf9915e941947d | [] | no_license | pranav/cs5700 | 8552f56877453a39002c8a3d2b03e5e2a9c1dd2d | 121c152aa83cb97dd894888882267efcebd96516 | refs/heads/master | 2021-05-01T00:16:57.870134 | 2013-04-16T01:56:52 | 2013-04-16T01:56:52 | 7,615,316 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,461 | rawhttpget-old | #!/usr/bin/python
import sys
import socket
import time
import struct
# import tcp
hostname = "www.ccs.neu.edu"
port = 80;
"""
Goals
1. Work on getting TCP to work over normal sockets. "SOCK_RAW/IPPROTO_TCP"
- choose a valid local port
- manage sequence and acknowledgement numbers
- perform connection setup ... | |
1a2ef6b25b0e7907841d854d7600e59bba95bb2a | 400a2fea6fd38716b56f12c8e31940584cfb9aca | /plotting.py | 11a676e7a9083846fb049335f35707446ca8b3b4 | [] | no_license | paulsef/Stephen_Capstone_Project | 165d5dce82870b4e89f0efea45cb3798419c4cca | eb1e8447d4f4b25a2be7225d6cda773d0daa01a2 | refs/heads/master | 2020-12-25T10:14:23.277969 | 2014-07-28T02:50:13 | 2014-07-28T02:50:13 | 22,325,358 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,633 | py | plotting.py | import pandas as pd
import numpy as np
import sys, getopt
import matplotlib.pyplot as plt
import cPickle as pickle
def plot_survival_rates(kmf_values, bucket_names, sav_name):
for jj, surv in enumerate(kmf_values):
if jj==0:
ax = plt.plot(surv.index,surv.iloc[:,0], label = bucket_names[jj])
plt.title('Surviv... |
96cab5c0d07fcb9caced1b771c4d88b5f81bf2fe | 16256017a56f7c31d58c5820d8cbe51167e139a2 | /handler.py | d2648e403624700a36bd2b9c01e6006a29ee00bc | [] | no_license | dkozlov/openfaas-style-transfer | 55cfbd70179abfb3dd864142c462d0571faa52fd | 90ac828a733c1366a0640b2828600b97a94beade | refs/heads/master | 2020-03-19T16:44:29.500304 | 2018-06-09T19:04:57 | 2018-06-09T19:04:57 | 136,728,117 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,051 | py | handler.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import warnings
warnings.filterwarnings('ignore', '.*issubdtype.*',) #just to filter a h5py warning message with numpy 1.14.3.
import sys
import os
import io
import time
import scipy.misc
import nu... |
869b77c51c81d3a4aa44e84a27879384ca6c5311 | bd8bc7abe0f774f84d8275c43b2b8c223d757865 | /950_RevealCardsInIncreasingOrder/deckRevealedIncreasing.py | dfc73fa8f119b27ae75d533a16219e14d9349f19 | [
"MIT"
] | permissive | excaliburnan/SolutionsOnLeetcodeForZZW | bde33ab9aebe9c80d9f16f9a62df72d269c5e187 | 64018a9ead8731ef98d48ab3bbd9d1dd6410c6e7 | refs/heads/master | 2023-04-07T03:00:06.315574 | 2021-04-21T02:12:39 | 2021-04-21T02:12:39 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,007 | py | deckRevealedIncreasing.py | """
将所有操作反向进行有可以了
1. 从牌组顶部抽一张牌，显示它，然后将其从牌组中移出。 (逆操作： 将牌放到牌组顶部)
2. 如果牌组中仍有牌，则将下一张处于牌组顶部的牌放在牌组的底部。（逆操作： 如果牌组中有牌，将牌组底部的牌放在牌组的顶部）
3. 如果仍有未显示的牌，那么返回步骤 1。否则，停止行动。(逆操作： 先步骤2， 再步骤1)
所以最终操作步骤:
0. 将牌组倒序排序，放到手上
1. 如果结果牌组中有牌，将牌组底部的牌放在牌组的顶部
2. 将牌放到牌组顶部
3. 如果手上还有牌，那么返回步骤 1。否则，停止行动。
"""
class Solution:
def deckRevealedIncre... |
d5838f29e8b96e8ef944be5b1a12a61d8a53a269 | c76077130bf2c68d45053b00c9bdbf4fbf40910a | /googlesheets.py | fd8ce58c49af4ea48e6ecf1d6e745924f4eb04bb | [] | no_license | JuneyBoy/Movie-Watchlist | 1da59609b3ae2a61e47ff8c11a0c55001106baf3 | 1b627387cc5e240acc091dc73836d7a4a44578eb | refs/heads/master | 2022-12-18T08:17:56.817531 | 2020-09-25T01:38:27 | 2020-09-25T01:38:27 | 280,952,169 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,079 | py | googlesheets.py | from pprint import pprint
from googleapiclient import discovery
credentials = jeffrey_credentials.json
service = discovery.build('sheets', 'v4', credentials=credentials)
spreadsheet_ID = 1AGTCXVC_9h3LnF8GJaE-MJj978AVoBnl4kV4Z9a4r7I
# How the input data should be interpreted.
value_input_option = 'USER-ENTERED' # T... |
186e47d13361f9b08bd61c691ee083a87ac5c502 | 540f12daa9f311685258c6453cb23838fd79329c | /domintell/modules/dism0x.py | 1fb2b18c6793220ba1f4c1f7ea87de0d5038c5aa | [
"MIT"
] | permissive | dnouls/python-domintell | 5dccf54fe0ad622219f086b9b639ee99442a2315 | f2626e7f8339ab8004fa51e9d1cc59653271febb | refs/heads/master | 2023-03-24T15:09:27.634942 | 2021-03-19T09:13:38 | 2021-03-19T09:13:38 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,554 | py | dism0x.py | """
Dimmer control module DDIM01
Controlls:
DISM04
DISM08
DMOV01
VAR - Binary version only
:author: Zilvinas Binisevicius <zilvinas@binis.me>
"""
import domintell
import domintell.messages
class GenericDISM0xModule(domintell.Module):
"""
Abstract DISM control module
"""
COMMAND_CODE = 'U... |
4e725ba011289ea0e37e23f8b47c536f75d5813f | a20c3a6ffd343445b533867da22fce97dca2c472 | /main.py | 304ee035ab7b3c897d12cf13c0f7f651def6af24 | [] | no_license | antoninabondarchuk/pyspark | df75f6b05f25dc8ccf62584b1dca2ec5fb6dfec1 | 8afb11bbe962e9c779a2b7a0de6af9382fe476fa | refs/heads/master | 2022-06-05T12:39:08.744138 | 2020-05-01T16:25:22 | 2020-05-01T16:25:22 | 260,505,124 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,901 | py | main.py | from pyspark import SparkConf
from pyspark.sql import SparkSession
from PCA import apply_pca
from dataprep import dataprep
from oja import apply_oja
from reading import read_to_df, to_vectors
WINE_PATH = r'C:\Users\Tonya\PycharmProjects\research\resourсes\wine\wine.data'
WINE_NAMES = ('id', 'alcohol', 'malicAcid', 'as... |
b0b01ae90bccfcdfd59a7cdaedf296f228e72810 | 0d49b6596af961ba3a45fb325e0cf00a63846de3 | /knapsach_greedy.py | 46c988266f010732a9f89c38b999ca1989e811f8 | [
"MIT"
] | permissive | Dreemsuncho/Introduction-to-Computational-Thinking-and-Data-Science | 52a921969f400a17e908dc842f4e676d296d6170 | 4ffc0dd19c838694d441a56e95c86c69b2b3e4f0 | refs/heads/master | 2021-10-10T23:44:47.621569 | 2019-01-19T08:17:02 | 2019-01-19T08:17:02 | 115,497,462 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 1,968 | py | knapsach_greedy.py |
class Item(object):
def __init__(self, n, v, w):
self.name = n
self.value = v
self.weight = w
def getName(self):
return self.name
def getValue(self):
return self.value
def getWeight(self):
return self.weight
def __str__(self):
return self... |
dba1506c070a7d5e749763cd315367026b01524c | d6f03deba472e50ecac1c58ad3c9ef5c45800b28 | /src/hyper_parameters_search.py | 074b376905c7048cd92bff0707f824b6ced381a3 | [] | no_license | antoineeudes/MLWorkflowWithAirflow | dca7dfb1c0ab086caa2574275e591126ea011123 | af1ed4d6b921b770d6c1c0acbc91033e1f5578a8 | refs/heads/master | 2022-12-12T10:38:10.410582 | 2020-06-16T21:05:00 | 2020-06-16T21:05:00 | 249,789,780 | 0 | 0 | null | 2022-12-08T03:52:53 | 2020-03-24T18:42:30 | Python | UTF-8 | Python | false | false | 457 | py | hyper_parameters_search.py | from sklearn.model_selection import GridSearchCV
from sklearn.ensemble import GradientBoostingClassifier
from utils import get_cleaned_training_dataframe
def hyper_parameters_search(parameters, **kwargs):
dataframe = get_cleaned_training_dataframe()
X = dataframe.drop('SeriousDlqin2yrs', axis=1)
y = datafr... |
fe35974e0fa59bf4a844300aedba516958c39f68 | ac8c787ea372674f1decbe77273d6a739bc44a92 | /08_Loop/152_multiples_of_three.py | 5304cc308fd7a78cced24db74be507a343ed1a58 | [] | no_license | LeeAhYeong/Python_300_For_Beginner | 8f805c804d2b2a4ab64bde4fdd7a72719e322cdf | 6c5ad581b99b103deadc7450927711ce6601d393 | refs/heads/master | 2023-05-10T01:14:54.894000 | 2021-05-29T09:37:04 | 2021-05-29T09:37:04 | 316,015,906 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 88 | py | 152_multiples_of_three.py | 리스트 = [3, 100, 23, 44]
for su in 리스트:
if su % 3 == 0:
print(su) |
d428a768c671eea0fe33a9f239e06ab8abbb72bd | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p02899/s426720032.py | 505803398ff1816f5f270b6e15606c0249d0441d | [] | 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 | 142 | py | s426720032.py | n = int(input())
A = list(map(int, input().split()))
B = [(a, i + 1) for i, a in enumerate(A)]
B.sort()
ans = [j for _, j in B]
print(*ans) |
8b5d07989d6f48ec3798ae55cd76a32a4484bd5b | b6d6062570f02cb278d6189ab4135cc17e2cc4d4 | /django_tctip/templatetags/__init__.py | 827c34cd7fc2547db1dc7e836958db405ec330bd | [
"MIT"
] | permissive | mooremok/django-tctip | 92fb190cb059d8cb2dfc56231fb250914b414978 | d15a47aab0f9f3e18d407df38fbd81f296cc4bfe | refs/heads/master | 2022-11-23T10:20:06.830429 | 2020-07-20T02:25:17 | 2020-07-20T02:25:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 79 | py | __init__.py | # -*- coding:utf-8 -*-
# Author: https://github.com/Hopetree
# Date: 2020/7/11
|