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f5931a74c29d4b0695b883e6047712225254bafe | 7750b9250ac1ec5c4ad16aed4a2a83f51eeb3b84 | /htmlConstructorDiff.py | 794547a32af396115fc2cf6639e2a550117882ff | [] | no_license | testerman77/somecode | a65e3da54663d5108cfca80ba2ea8b3a60e1de4c | 0a908943c982eb1e895a87222ba9e3100f938a09 | refs/heads/master | 2021-01-13T05:16:40.479578 | 2017-02-08T09:30:45 | 2017-02-08T09:30:45 | 81,310,864 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,914 | py | htmlConstructorDiff.py | # coding=utf-8
import bs4
from bs4 import BeautifulSoup as bs
doc = """
<div style="position:relative;top:1px;font-weight:700;float:left;width:550px;font-size:20px;border-radius:8px;overflow:hidden;box-shadow:0 0 2px 0 rgba(0,0,0,.3);" class="panel panel-default" data-reactid=".0.0.0.1.0.1.0">
<div class="panel-he... |
cb04b5b1f4554149d0e0c1fb40851d202a06a408 | d61b4adc7b3b1f5accd33ae8a98d724bc124d9e3 | /Scripts/Ejercicios resueltos tema 3.py | 586c492172f5104c9535074806039f248799852f | [] | no_license | gamersnautas/python3-course-backup | 8f75654558fb3438a261d2afef8d324faf410e59 | aafea62290aa3a5e49d8154a556b027ee1db234b | refs/heads/master | 2020-08-29T17:19:13.277925 | 2019-10-28T17:59:48 | 2019-10-28T17:59:48 | 218,108,399 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,052 | py | Ejercicios resueltos tema 3.py | #!/usr/bin/env python
# coding: utf-8
# # Tema 03: Control de flujo (Enunciados)
# *Nota: Estos ejercicios son optativos para hacer al final de la unidad y están pensados para apoyar tu aprendizaje*.
# **1) Realiza un programa que lea dos números por teclado y permita elegir entre 3 opciones en un menú:**
# * Mostra... |
c42bb122e9ce0d7d18d9133c8ca4d700d5e38f15 | b4317fe96d7368e37e55724349f29e45d3294fa0 | /Chapter 5 - If Statements/tiy_5_2_more_conditional_tests.py | 167c1aa4d97e079c50d8f79ce7a049000dc11e78 | [] | no_license | youngcyberop/PythonCrashCourse | 096844319205c8b37d1cf2fc9c2425c26818abe5 | e4274eedb98e5e85cc63b0bdf3021824553b2c0b | refs/heads/master | 2023-01-10T00:58:41.147704 | 2020-11-10T13:25:45 | 2020-11-10T13:25:45 | 230,657,573 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,331 | py | tiy_5_2_more_conditional_tests.py | '''
5-2. More Conditional Tests: You don’t have to limit the number of tests you
create to ten. If you want to try more comparisons, write more tests and add
them to conditional_tests.py. Have at least one True and one False result for
each of the following:
• Tests for equality and inequality with strings
• Tests usin... |
023e2fafcb9c7169a30e9a2eb3ce7b7a014f284b | e8608c6f68a3e7556d4de70c5ad7fa264983bcf6 | /chord_rhythm_melody_lstm/model.py | 054c1b73327486478ef407d88447657427941c51 | [] | no_license | cedricdeboom/lead-sheet-generation | 424a3fd6fab56e29ab8b9443b09b7bfed111aad7 | abcf0b2d0eb50e499a40997f50df1f209419622e | refs/heads/master | 2020-07-08T19:14:08.753336 | 2019-06-20T08:50:56 | 2019-06-20T08:50:56 | 203,751,197 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,627 | py | model.py | import numpy as np
import pickle
import sys
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.data import DataLoader, Dataset
# Pytorch RNN axes:
# 1. The first axis is the sequence itself,
# 2. the second indexes instances in the mini-batch,
# 3. and the ... |
9f5e50038db15eae83c82f478e7db46dd518ee0e | 780f3e7b8695c926333b3067e9c0fbdd210398f7 | /fb_cooldude/apps.py | b83961d95923bbcf738560c87f80a6fe0b37083c | [] | no_license | THATISAIPRASEN/cooldude | 1a7ff23deb29fff5f535d574bffdd0c3567d6eae | 7eaae435fb0adba2b61d1d3d521fefaaeb8601d1 | refs/heads/master | 2020-06-20T01:27:58.024470 | 2017-06-13T08:40:24 | 2017-06-13T08:40:24 | 94,189,901 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 96 | py | apps.py | from django.apps import AppConfig
class FbCooldudeConfig(AppConfig):
name = 'fb_cooldude'
|
5952ddec28fcad289fbdcefa2619921db74b059c | d7fa1960ecf3c20a202179c70cacc322f7cefed8 | /visualization.py | f64cdc186fb0eef3f745f36c031d3d45f85e56cd | [] | no_license | andrianhevalo/Decision_Making_Ad_fontes | 249cc51e9f93118b6725b2735d84440fd415ed09 | 258a95d7d7acdf37662a011e7972d7dfd883aded | refs/heads/master | 2020-07-02T18:59:55.869405 | 2019-08-10T13:08:10 | 2019-08-10T13:08:10 | 160,660,704 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 159 | py | visualization.py | from golden_rule import main
from matplotlib.pyplot import plot
def create_plot():
x, y = main()
plot(x, y, 'go--', linewidth = 2)
create_plot()
|
e5cc4b1a76e969c5c5ba016e03514091bdf5cb0f | 595da3d15912074ed3b12ec0c8a68268a6c9d6be | /upload.py | e26fde265795dd6ee41d8fac60a87179d7ddfa6f | [
"BSD-2-Clause"
] | permissive | stefan-kaestle/SunnyUpload | cf646c351ebe9685c26cfc8e40b42cf3e4b98dd7 | 07f87535022468e57c3c0f0499aeb04767f17960 | refs/heads/master | 2020-07-02T00:54:38.110673 | 2013-11-04T22:42:00 | 2013-11-04T22:42:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,928 | py | upload.py | #!/usr/bin/env python3
"""
The purpose of this script is to make the current status of solar
panels as reported by a SMA Sunny WebBox available online without
exposing its Web front-end (with the login form) to the users.
Additional benefits are that the web front-end can collect all
individual measurements of the bo... |
5b6f4cca6091800d86ac2e0bc02030038aaee0a1 | df9e52b832798359d84fa35f70cd73dbd008b433 | /chromedriver.py | e6959b5d2f5b93766f6e97f7be8a7a121dd1c77f | [
"MIT"
] | permissive | Terkiss/Koromo-Copy | 5ee235b3304828f39bafc35d7b0d141df89e22ab | 823cc933a64d09ade19794c1e05acd830df55ab3 | refs/heads/master | 2022-12-10T15:21:47.830705 | 2019-10-14T04:49:35 | 2019-10-14T04:49:35 | 214,948,276 | 0 | 0 | MIT | 2022-12-08T02:08:08 | 2019-10-14T04:31:33 | C# | UTF-8 | Python | false | false | 521 | py | chromedriver.py | ###
#
# Koromo Copy - Chromdriver downloader
#
# Copyright (C) 2018. dc-koromo. All rights reserved.
#
###
import io
import zipfile
from contextlib import closing
import requests
#https://stackoverflow.com/questions/22340265/python-download-file-using-requests-directly-to-memory
requests.get("https://chromedriver.... |
7cb3d8fc47d0cfe915d7770e21d17f8b0085769a | 328a192bca4b9c5c593a45778a782c2ac8cacbc1 | /server.py | 4d0b672b0ada674089b0affe6e9d395b7982d15c | [] | no_license | thommoor/ML_project | 85f1916284302a95175e9526ed7426ca63cc08f6 | e5f9ab07ca3a8b6fadf43dfa4aa3bf66e24ed6cd | refs/heads/main | 2023-04-13T01:15:59.696334 | 2021-04-23T15:20:15 | 2021-04-23T15:20:15 | 344,889,600 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 917 | py | server.py | from flask import Flask
from flask import jsonify
import connexion
from joblib import load
#load the model
#my_model = load('svc_model.pkl')
# Create the application instance
app = connexion.App(__name__, specification_dir="./")
# Read the yaml file to configure the endpoints
app.add_api("master.yaml")
# create a ... |
5eee1bfdaf8e6ca1f27f1f535d319f328594d905 | 697481fab0d6c5a8db904f24838ce2a297653a1e | /Utilities/SeriesPredictor.py | 5a0b7e2091d2d5e39e5406527767e14421c09e65 | [] | no_license | paulmattheww/Original-Projects | 4663e35163fe8db8d6fc920c9c501737f0cf4a3f | 7e8de4eae037be721e1bc1616581633d6761ba2b | refs/heads/master | 2021-01-24T09:49:03.423904 | 2018-11-10T18:43:29 | 2018-11-10T18:43:29 | 37,742,526 | 2 | 3 | null | null | null | null | UTF-8 | Python | false | false | 2,328 | py | SeriesPredictor.py | import tensorflow as tf
from tensorflow.contrib import rnn
import numpy as np
class SeriesPredictor:
def __init__(self, input_dim, seq_size, hidden_dim=10):
## Inspired from Machine Learning with TensorFlow by Nishant Shukla
self.input_dim = input_dim
self.seq_size = seq_size
self.h... |
03916d8c9dbe00e4bf82108edc4c95608cabe080 | 5754e080348df0fc7f1fffe46c6909edf681ee79 | /list/sample5.py | 7ff3672cd38ad9dde9c2a01fc4453ddd7458a1da | [] | no_license | biao111/learn_python | 57e373d62979096b94b9ea96664dec3b7d88dfce | 609a6a9634a37ecd1c59fa639fcca1eaa6472bfd | refs/heads/master | 2023-01-05T23:15:39.670105 | 2020-11-08T05:23:57 | 2020-11-08T05:23:57 | 310,991,572 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 663 | py | sample5.py | #列表的写操作
persons = ['张三' , '赵六' , '李四' , '王五' , '赵六' , '钱七' , '孙八']
#列表的追加
persons.append("杨九" )
print(persons)
#列表的插入
persons.insert(2 , '刘二')
print(persons)
persons.insert(len(persons),'侯大')
print(persons)
#列表的更新
persons[2] = '宋二'
print(persons)
#列表的取值“左闭右开
persons[3:5] = ['王五' , '李四' ]#表示3到内按顺序替换
p... |
4edde9debe15486f8d722d5988286fe7afd243f9 | 1b7a06fd29b450846842eb2eefed88b67c13e05e | /src/greeting_ops.py | 9140c50b588db4bd099257abb4000f3d2461b2fe | [
"MIT"
] | permissive | thomasmburke/PersonalizedGreeter | d5a114529d8c8d5615a1b02eb5eba45457cdc28d | 3d8c1958b61a584f268b23076e3b335de14d59ba | refs/heads/master | 2022-07-20T05:59:19.787954 | 2021-07-23T01:19:50 | 2021-07-23T01:19:50 | 184,111,818 | 0 | 0 | MIT | 2022-06-21T21:59:36 | 2019-04-29T17:09:19 | Python | UTF-8 | Python | false | false | 9,086 | py | greeting_ops.py | #import redis
import logging
import datetime
import os
import holidays
from dateutil.easter import easter
import random
# Set logger
logger = logging.getLogger(__name__)
class GreetingOps:
"""
GreetingOps: This module is responsible for creating a connection with the redis
cache hosted on Google compu... |
7bc31251061f3f190cba5856d88abe5c4a687f95 | 185cd434c5fd1610439ca973ae8b2b717338bbec | /data/mrr.py | 23c79656d6a9e03a525ff88aea5b9504c0a4af6c | [] | no_license | jcarter62/abbui | b7c732a92c5731129998c906c7def1fea26636de | 2e7a6a0a825afac23c2a723757c97be88bf9ffac | refs/heads/master | 2022-12-25T14:08:49.145843 | 2020-01-30T00:12:06 | 2020-01-30T00:12:06 | 230,999,122 | 0 | 0 | null | 2022-12-08T03:27:38 | 2019-12-31T00:35:05 | Python | UTF-8 | Python | false | false | 589 | py | mrr.py | from .settings import Settings
import requests, json
class Mrr:
def __init__(self):
settings = Settings()
self.base_url = settings.base_url
def get_mrr(self):
results = []
url = self.base_url + '/mrr'
formdata = {'key': Settings().key}
try:
data = r... |
d7331ac10e95bb8551059a8fb37c895bba187d2c | de3513485c5687ec2dbf97d2affb09826d8066a2 | /webapp/solver/forms.py | 64861559a5bd85c2542f3c43f97d6d851d341662 | [] | no_license | rbarbazz/computorV1 | 2728d04629dcd259e93761b816c16f9c27c814d4 | 173fac0ad92bde96f07c6c673921a768d8834c52 | refs/heads/master | 2023-04-27T22:27:28.154440 | 2019-07-29T13:22:43 | 2019-07-29T13:22:43 | 162,417,939 | 0 | 0 | null | 2023-04-21T20:35:05 | 2018-12-19T09:57:26 | Python | UTF-8 | Python | false | false | 178 | py | forms.py | from django import forms
class EquForm(forms.Form):
equation = forms.CharField(widget=forms.TextInput(attrs={'max_length' : 1000, 'class' : 'form-control', 'required' : True})) |
524f95473c3b7ce3f82ae1610624f929c8fa969e | 9846c08d3bcf1f503490839862fb2e359073147d | /messagebox.py | 405491eff2a619ffd4f2345e77556510934607d1 | [] | no_license | Brunomleguizamon/TKinter | 9d394f32ed48634e6ca365aee0b5699f56dc4946 | 8f77953a82c13907cfab8bb11926c708772c539c | refs/heads/master | 2023-07-16T17:09:04.458603 | 2021-09-10T10:29:29 | 2021-09-10T10:29:29 | 389,650,988 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,462 | py | messagebox.py | from tkinter import *
from tkinter import messagebox
root = Tk()
root.title('Hola Mundo')
def click():
# Alerta de alarma
messagebox.showwarning('Popup', 'Hola Mundo!')
# Alerta de informacion
messagebox.showinfo('Popup','Hola')
# Alerta de Error
messagebox.showerror('Popup','Error')
def clic... |
3426b9f3ab8828406b2c4d4c8476aab3c9f93391 | 835577cebfd648ea5c67aa4c7f837f70ac5b101a | /FileLists/python/DarkSUSY_mH_125_mGammaD_0250_ctauExp_2_8TeV-madgraph452_bridge224_LHE_pythia6_537p4_PAT_v1_cff.py | 12ac7611477514934a93267f21d208e94d6374e6 | [] | no_license | weishi10141993/MuJetAnalysis | 616cd5cacb39ca613f93c9cf6d61e2abf08bdc91 | d0eec8e7a688d8999f91be16a7707da3af6bfaee | refs/heads/master | 2021-06-16T14:15:12.954912 | 2019-02-19T23:36:00 | 2019-02-19T23:36:00 | 202,416,826 | 0 | 1 | null | 2020-11-10T01:22:14 | 2019-08-14T19:54:04 | C | UTF-8 | Python | false | false | 13,634 | py | DarkSUSY_mH_125_mGammaD_0250_ctauExp_2_8TeV-madgraph452_bridge224_LHE_pythia6_537p4_PAT_v1_cff.py | import FWCore.ParameterSet.Config as cms
maxEvents = cms.untracked.PSet( input = cms.untracked.int32(-1) )
readFiles = cms.untracked.vstring()
secFiles = cms.untracked.vstring()
source = cms.Source ("PoolSource",fileNames = readFiles, secondaryFileNames = secFiles)
readFiles.extend( [
'/store/user/castaned/DarkSU... |
e773f028293076d464978bf8d4ab5e938e185f10 | 586403eca08d2b352db09c937da4342246e5b69a | /crm/migrations/0001_initial.py | 0b894d030d5edfffe175d8fafab933d892c5031b | [] | no_license | AlekseiChirkov/alidentcrm | db9dbf5eeb441ac7e2875a99b93e8f2920fc8e1a | 9aa6f4a8c34896f2c6ca8625da10e35234ac7962 | refs/heads/master | 2023-01-09T03:41:28.736437 | 2020-11-06T06:35:50 | 2020-11-06T06:35:50 | 242,917,779 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,876 | py | 0001_initial.py | # Generated by Django 3.0 on 2020-06-26 06:10
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Client',
fields=[
... |
8d6329a7500082994bb28bf71c2c583e3c783700 | 56f5b2ea36a2258b8ca21e2a3af9a5c7a9df3c6e | /CMGTools/H2TauTau/prod/25aug_corrMC/up/mc/SUSYGluGluToHToTauTau_M-130_8TeV-pythia6-tauola/Summer12_DR53X-PU_S10_START53_V7A-v1/AODSIM/PAT_CMG_V5_16_0_1377467522/source_cfg.py | 4f53585c042071ce486fbcbbabd86bed013afaa2 | [] | no_license | rmanzoni/HTT | 18e6b583f04c0a6ca10142d9da3dd4c850cddabc | a03b227073b2d4d8a2abe95367c014694588bf98 | refs/heads/master | 2016-09-06T05:55:52.602604 | 2014-02-20T16:35:34 | 2014-02-20T16:35:34 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 16,514 | py | source_cfg.py | ###SourceCFG: 99 GoodFiles; 0 BadFiles found in mask; Input prescale factor 1
files = ['/store/cmst3/group/cmgtools/CMG/SUSYGluGluToHToTauTau_M-130_8TeV-pythia6-tauola/Summer12_DR53X-PU_S10_START53_V7A-v1/AODSIM/PAT_CMG_V5_16_0/cmgTuple_100_1_2vH.root', '/store/cmst3/group/cmgtools/CMG/SUSYGluGluToHToTauTau_M-130_8TeV-... |
5bdb262dc03fc70712293f7be741648e5d3df159 | 4da855904fea7bf95b666b42828e66c721712d64 | /flip.py | b8737f10a1b3e0c8368a91356bcffd50f96576f4 | [] | no_license | tzskp1/topre-ergo | d6be22e44e271aa9c10b9d864045f0d6222297b8 | 5cb093deb8824f971cfe4f7d4795a1e4c72eb188 | refs/heads/master | 2022-09-28T03:03:17.264518 | 2020-06-03T01:12:19 | 2020-06-03T01:12:19 | 256,368,070 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 500 | py | flip.py | import pcbnew
board = pcbnew.GetBoard()
mods = board.GetModules()
tracks = board.GetTracks()
for m in mods:
x, _ = m.GetCenter()
m.Move(pcbnew.wxPoint(- 2.0 * x, 0))
# m.Flip(m.GetCenter())
# m.SetOrientationDegrees(m.GetOrientationDegrees() - 180)
m.SetOrientationDegrees(180 - m.GetOrientationDegre... |
8eecf25bf9b16f0495a15ddbb08de2a11fa221ff | 8263c20c0a82f836a29e02162a67e7931d81a151 | /models/mtcnn_model.py | ad59be7a6850945e533722a4dd9c905d08b395d9 | [] | no_license | BryanPan342/MTCNN | 57b3afb8065f3116287f0ad1c53f1abe3857cd55 | 0ae2ee108dd8d313ee30315be2903cd6fe62e885 | refs/heads/master | 2020-04-03T17:50:31.191970 | 2018-10-30T21:56:47 | 2018-10-30T21:56:47 | 155,460,905 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,597 | py | mtcnn_model.py | from base.base_model import BaseModel
import tensorflow as tf
import numpy as np
class MtcnnModel(BaseModel):
def __init__(self, data_loader, config):
super(MtcnnModel, self).__init__(config)
# Get the data_loader to make the joint of the inputs in the graph
self.data_loader = data_loader
... |
46d768a346fbe63eb9142f5202cb8fd5597e3eff | 6ec6ff544bc4b9653946d33ba6bca951571256c6 | /face_tracking/face_tracking.py | 150121a45d9ce3e863f51f3df392a2e9f412200f | [
"MIT",
"Apache-2.0"
] | permissive | arshjot/Face-Tracking | 9251dbbb718ca226b2b3eec41e9b9d07594b2ac3 | 2cf3eef8f7b849429ff7eeaae4bd3d5d77ecdf20 | refs/heads/master | 2022-11-28T11:43:24.514802 | 2020-08-01T04:17:26 | 2020-08-01T04:17:26 | 284,182,833 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,615 | py | face_tracking.py | from __future__ import division
import os
import cv2
from PIL import Image
import face_recognition
from .eye import Eye
from .calibration import Calibration
import torch
import torchvision
from torchvision import transforms
import torch.nn.functional as F
from config import Config
from .hopenet import Hopenet
from .uti... |
d4312b61822416f9389269e8385ef686cb52479e | 0828839850656f904f7518f008d65b5ac59af6f0 | /MainSohbet.py | 428bcb6dabaf32946f5fc63d22a090ebd7e4e865 | [] | no_license | ykursadd/ChatProgram | c29082a02d86b3ca47f893dd747582a3344ef5f3 | 6ce97bafbe29b50dbe6188a625237d6ddc5301c4 | refs/heads/master | 2021-01-01T06:12:21.691201 | 2017-07-16T11:09:58 | 2017-07-16T11:09:58 | 97,378,015 | 0 | 0 | null | null | null | null | ISO-8859-9 | Python | false | false | 2,313 | py | MainSohbet.py | # -*- coding: cp1254 -*-
# -*- coding: utf-8 -*-
from Tkinter import *
from socket import *
import win32gui
def SohbetPencere(baslik):
ID = win32gui.FindWindow(None, baslik)
win32gui.FlashWindow(ID,True)
def SohbetPencere2(baslik):
ID2 = win32gui.FindWindow(None, baslik)
win32gui.FlashWindow(ID2,T... |
63aebe097a134d1f8fe73bc87f051947367df72e | 88e0c1b7a230f356a5a9417116108da78d31b561 | /dataloader.py | 38edfb125eaee8fcebb87fe1a39153a58c1ae913 | [] | no_license | hiroki1701/selfsequential | f67be3f0f11cf4350f3568bd717329c4f6f852c2 | dcdfd3176a54b10afbdf5016bea4f314112dc3c9 | refs/heads/master | 2021-02-21T04:43:27.460052 | 2020-03-11T07:54:01 | 2020-03-11T07:54:01 | 245,350,951 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 32,086 | py | dataloader.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import json
import h5py
import os
import numpy as np
import random
from functools import reduce
import torch
import torch.utils.data as data
import multiprocessing
import copy
import pdb
class DataLoader(dat... |
7eda0e67bc0ee55442182c54ef9182ffaa0e2f48 | 95bcd790e278f42d7213c0606577a3bbf06fb4f1 | /server.py | 9d51c07db1e7f1bdceb1dd1e66e6dec70e6394de | [] | no_license | HaochenZ11/GreenStyle | b806600469b9a10c185ff0eaedb3c134d2308a0d | 1d86ef53a3800df00eb19b15ed6612a20128b14c | refs/heads/main | 2023-02-17T15:42:17.908971 | 2021-01-10T15:00:18 | 2021-01-10T15:00:18 | 328,386,972 | 1 | 0 | null | 2021-01-10T14:54:20 | 2021-01-10T13:16:07 | Python | UTF-8 | Python | false | false | 1,884 | py | server.py | from flask import Flask, render_template, request
from werkzeug import secure_filename
import matplotlib.pyplot as plt
from PIL import Image
from query import query
from productrec import give_rec
from classify import classify_image, TransferNet
app = Flask(__name__)
app.config['UPLOAD_FOLDER'] = './uploads'
... |
f1bd9794614159c6db0c3b403a92ec686eb5445d | 80cac4f049d3adc519711624dffa24b766611562 | /tests/common.py | 4b3ee6fa4c6412e2114259df18990e053f68b7cc | [] | no_license | alekseyl1992/tech-testing-ha2 | 99b90a87ae5751a8ceeec27d99e583efc3d44729 | c256a739864f8c998e73859af19c3f3a761ed464 | refs/heads/master | 2021-01-18T09:14:30.973401 | 2014-10-21T15:24:06 | 2014-10-21T15:24:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,116 | py | common.py | import os
from selenium.webdriver.support.wait import WebDriverWait
DEFAULT_BROWSER = 'CHROME'
GRID_URL = 'http://127.0.0.1:4444/wd/hub'
class Polling:
def __init__(self):
pass
TIMEOUT = 30
PERIOD = 0.1
def wait_and_get_by_css(driver, selector):
return WebDriverWait(driver, Polling.TIMEOUT... |
0216a5938811620abdd8074b40263fd662d1882c | 72751b049d0f1e53e5a92a89ba24aae1202a59b0 | /ANN.py | 114d974b9c816f85861686ffdb17aef3e4b04a9d | [
"MIT"
] | permissive | piyush27ranjan/Game_Learner | cd46cb21458009cb0d1f88ae94d1aa1eab2dba5e | 85d44edaa733a71969b96679eae2316b939a6c1d | refs/heads/master | 2020-03-17T05:33:02.428696 | 2019-03-08T07:03:50 | 2019-03-08T07:03:50 | 133,321,001 | 10 | 1 | null | 2019-10-27T10:43:29 | 2018-05-14T07:22:18 | Python | UTF-8 | Python | false | false | 2,167 | py | ANN.py | # Importing the libraries
import numpy as np
import pandas as pd
# Importing the dataset
dataset = pd.read_csv('dataset.csv')
dataset = dataset.replace(255,1)
X = dataset.iloc[:, dataset.columns != 'button'].values
X = np.delete(X,0,1)
X = np.delete(X,3,1)
y = dataset.iloc[:, 5].values
# ------ Data preprocessing ---... |
25bd0f7860fcfba9301752eeb449e3bdd56f84e1 | 826689971fcdf9f7e050accac031338a18161e15 | /State.py | 815ca4275d8b9ff9d67cec9dc76a020ccdce0458 | [] | no_license | wildangbudhi/8Puzzle | a55099dd5a5c6200fd5aecaa38a08a68d2826fc5 | 20ffc6da33c034f5742b9daea3a0f8c79b313886 | refs/heads/master | 2020-04-27T07:24:06.711384 | 2019-03-24T06:27:53 | 2019-03-24T06:27:53 | 174,134,823 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 859 | py | State.py | class State:
def __init__(self, state, parent, depth, cost, GoalStates=[0], heuristic=False):
self.state = state
self.parent = parent
self.depth = depth
self.cost = cost
self.heuristic = 0 if not heuristic else self.countHeuristic(GoalStates)
def getMatrix(self):
... |
1d145e76d8a317667aa31ede9824d36d4d2b5c73 | 06c73e3efabc86cdef88f7837074fe2f6121ec83 | /gui_main.py | 67a4ef28153ba3b7a89589d16540f53083e36acf | [] | no_license | hope0321/food | bbc6a7e2cf9745e3c9ea2779328ee6c92579d1ad | 255044ed0ad4506b4b4df10b779f86de30b57f2c | refs/heads/master | 2023-08-26T00:06:12.466928 | 2021-11-04T16:05:58 | 2021-11-04T16:05:58 | 424,474,946 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 674 | py | gui_main.py | from tkinter import *
import tkinter as tk
menu = ["돈까스", "라면", "짜장면", "짬뽕", "햄버거"]
root = Tk()
root.title("오늘 뭐 먹지?")
root.geometry("540x380")
#뭘 먹을지 잘 모르겠을땐 버튼을 누르라고 물어보자
Label(text = "뭘 먹을지 잘 모르겠어? 버튼을 눌러봐!", font=("돋움체",15),fg = "purple").pack()
#사진 추가해보자
돈까스2 = "C:\\Users\정석기\Desktop" #사진 추가하는 부분이 계속 에러... |
60a3586e0128e6079736631f64797a5e8265780a | 5defa49dfa1f0d98c58700d65c3ea62c5d87e91c | /Lecture_31/Face_Detecton.py | 85d83fda35e0d287955231fb2ca15dde6fd3e3b9 | [] | no_license | Namangarg007/Python-training | ae787ae987801a4790fe8007887a412bbb17dbf9 | ac0d7005589adfcc5f822d82f9db4dfed9f94b52 | refs/heads/master | 2021-01-07T22:12:11.099191 | 2020-05-20T13:23:41 | 2020-05-20T13:23:41 | 241,834,144 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 527 | py | Face_Detecton.py | import cv2
cap = cv2.VideoCapture(0)
classifire = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
while True:
retval, image = cap.read()
faces = classifire.detectMultiScale(image)
for face in faces:
x, y, w, h = face
cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), ... |
24baed88cd202f9ab3b967d902640579921799c6 | 0965027ecd8b1e6ca5649eba708b2b2535bb4f6b | /code_FYP/sourceDataToDB/data_to_db.py | 630e2470c9a5fb9716b6e3c5ebe365b09d895cfa | [
"BSD-3-Clause"
] | permissive | liuyaodave/GIS | e99591e7faa6725119b4658c5842c590f967e25c | 0977769cf6f4d5cb596c8424741acb2ed5e8c0a1 | refs/heads/master | 2020-09-19T03:38:48.556219 | 2016-09-02T09:00:58 | 2016-09-02T09:00:58 | 67,039,927 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 709 | py | data_to_db.py | #coding=utf-8
import xlrd
import sys
import json
import pymongo
from pymongo import MongoClient
#连接数据库
client=MongoClient('localhost',27017)
db=client.source_data
account=db.city
data=xlrd.open_workbook('sourceData.xlsx')
table=data.sheets()[0]
#读取excel第一行数据作为存入mongodb的字段名
rowstag=table.row_values(0)
nrows=tab... |
6d3ae4c85d3720ebc4866a3b94feacca2aac6ee8 | ecace9d1565c2c892e6495caed28bb26982e824c | /Multiple_linear_regression_practice.py | 6e0fb601324b2822c9e4d57b9a0fe6b50618f64f | [] | no_license | AdeolaBam/Multiple_linear_Regression_practice | a2b4248a8d598e43c08e0c5fe8fa01888f67ae82 | 84a6c5497cfcddf0b2de7a7309fefb5bb848d42a | refs/heads/main | 2023-03-09T22:41:33.081642 | 2021-02-23T11:26:54 | 2021-02-23T11:26:54 | 341,530,311 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,242 | py | Multiple_linear_regression_practice.py | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# In[3]:
df=pd.read_csv("50_Startups.csv")
# In[15]:
X=df.iloc[:, :-1]
# In[16]:
X.head()
# In[17]:
Y=df.iloc[:,4]
# In[18]:
Y.head()
# In[20]:
df["State"].unique()
# In[34]... |
f3aaa4fed97162143952cef07d11caedd9e6481c | a8efbb54650d0075a852784ee61478d01b5a5f38 | /string_2/a.py | 01156f7358c6b3ca83a7347ac89f187455b02b8b | [] | no_license | majapklm/google_python | bd67b18a79ed0522ae9ac50a776840d10b9dbfd8 | 58386393d58bdb0a44660ee36399223fc1b25427 | refs/heads/master | 2021-01-20T10:42:59.572468 | 2014-11-07T06:23:59 | 2014-11-07T06:23:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 174 | py | a.py | s = 'fooding'
def verbing(s):
if len(s)>3:
if s[-3:] == 'ing':
return s.replace(s[-3:],'ly')
else:
return s + 'ing'
else:
return s
print verbing(s)
|
8cace06daf2d254095b47f18766a55a109f2ceb2 | 574eabbca10bd159ad0f409639eeafd67b53aa56 | /scripts/smartAPI_assessment.py | 01ef24b792941a8f8ba6c4b2df75281208f5999b | [
"Apache-2.0"
] | permissive | alexjones1725/FAIRshake | f1b7e72e85ec1038e3d345ae5d4593630ad75f45 | 0ff738c784b15bcb23ec44109a4f49680a1cea0a | refs/heads/master | 2020-03-31T00:12:42.429834 | 2018-11-30T22:50:33 | 2018-11-30T22:50:33 | 151,730,520 | 0 | 0 | null | 2018-10-05T14:10:45 | 2018-10-05T14:10:45 | null | UTF-8 | Python | false | false | 5,412 | py | smartAPI_assessment.py | import re
import sys
import json
import itertools
import numpy as np
from pyswaggerclient import SwaggerClient
from pyswaggerclient.fetch import read_spec
from objectpath import Tree
# import os
# os.environ.setdefault("DJANGO_SETTINGS_MODULE", "FAIRshake.settings")
# import django
# django.setup()
# from FAIRshakeAPI... |
1ca761908f1a1e78d6692150ec57cf6638c502ca | 4e7aac39f36916a964f4664f3198d7c87e762253 | /compute_regressor.py | 4f43958bd047a8140d6289248aa5ce9961d8138b | [] | no_license | kirillin/manipulator_dynamics | 349c01fd5aef8b42734edc497a7d48ee49aced9c | a773091ea5a62493b77885a0e2df6491282faa4c | refs/heads/master | 2021-10-22T13:15:09.489858 | 2019-03-10T23:00:56 | 2019-03-10T23:00:56 | 108,987,774 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,311 | py | compute_regressor.py | # coding: utf-8
#!/usr/bin/env python3
import os, errno
import time
import sympy
import numpy as np
from datetime import timedelta
from termcolor import colored
from libs.equations import *
from libs.regexps import *
from libs.regressor_stuff import *
from libs.utils import writeFile
from libs.initialization import *
... |
41ad43821501579dbd4af06b3adb608e8add795b | d4c95b58d582cebfb923c3d4df7692f20f908202 | /main.py | ffc3966711559dbcc9d662d3731f5fe54c5220a6 | [
"Apache-2.0"
] | permissive | imlegend19/issueSHARK | c60ac24739965c640d8676b108455c6b5609d381 | 6233be1629bb0e221dc5d676265f24555f3d625d | refs/heads/master | 2022-04-24T16:27:53.386301 | 2020-04-27T16:16:21 | 2020-04-27T16:16:21 | 259,386,240 | 2 | 0 | Apache-2.0 | 2020-04-27T16:17:23 | 2020-04-27T16:17:22 | null | UTF-8 | Python | false | false | 3,119 | py | main.py | import os
import logging
import logging.config
import json
import sys
import argparse
from issueshark.backends.basebackend import BaseBackend
from issueshark.config import Config, ConfigValidationException
from issueshark.issueshark import IssueSHARK
from pycoshark.utils import get_base_argparser
def setup_logging(d... |
46b2bc42183db0b20c38af95dcbe07aaf7067366 | 17bbd71f8f3699e6c76d31ffb870cc9804994d93 | /app.py | 4f714065eca25d3a2ba71e15b010d8ec2b6d66b6 | [] | no_license | Cheriit/DnD_GPT-2 | 123af694a239d57a1f32314947ac34cfbb7ae1ee | f3cd076010ca306940e2adc8767e743442ea8e96 | refs/heads/master | 2023-08-15T04:57:42.215591 | 2021-09-08T21:50:08 | 2021-09-08T21:50:08 | 403,682,749 | 0 | 0 | null | 2021-09-08T21:48:47 | 2021-09-06T16:01:48 | null | UTF-8 | Python | false | false | 2,434 | py | app.py | from flask import Flask, request, jsonify
import torch
from transformers import GPT2Tokenizer
import torch.nn.functional as F
from flask_cors import CORS
def generate(
model,
tokenizer,
prompt,
entry_length=100,
top_p=0.8,
temperature=1.,
):
model.eval()
generated_num = 0
generated_list = []
... |
35cc587ad7617350423cfc5ee7e0fee7ba92c856 | ccc2dceeffa8078883f2971ea145779fc1dcf34e | /CODEFORCES/581-B/581-B-20355596.py | a0dd0ed8e669a6e7cbf8df565a368375ca3f06bd | [] | no_license | dineshsonachalam/competitive-programming-2 | 85bbf8679660b2964ad56a711a6b60e0793148f8 | 2e85f58427eddd098dbb9e56362232cec8d1968e | refs/heads/master | 2020-04-05T17:23:30.347444 | 2018-11-04T01:48:04 | 2018-11-04T01:48:04 | 157,058,120 | 1 | 0 | null | 2018-11-11T07:42:53 | 2018-11-11T07:42:53 | null | UTF-8 | Python | false | false | 152 | py | 581-B-20355596.py | n=int(input())
a=list(map(int,input().split()))
b=[0]*n
mx=a[n-1]
for i in range(n-2,-1,-1):
b[i]=max(0,mx-a[i]+1)
if a[i]>mx:mx=a[i]
print(*b) |
7d79d805933912ff6b24d79ae97b5fac945e0788 | 3eeb16ff417cd0e6f82e8950dbc2f723d36b90ec | /train.py | 56d6aa574afc1df29f0fd6f854505651d59b29b2 | [
"MIT"
] | permissive | BhavishyaDiggiwal/deblurring_cnn | f20841fbe938e7d8e13bbb8057ac8a74aa123b64 | 5e56493ef249e5b4439cad8b0806573602ecc66d | refs/heads/master | 2020-06-20T15:00:44.712930 | 2018-06-21T09:30:25 | 2018-06-21T09:32:38 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,872 | py | train.py | import os
import glob
import random
from PIL import Image
import tensorflow as tf
import numpy as np
import input_pipeline
import model
FLAGS = tf.app.flags.FLAGS
train_dir = './data/train/'
test_dir = './data/test/'
output_dir = './output/'
model_dir = './model/'
summary_dir = './logs/'
for directory in [train_di... |
2cf4dcd8938081bb68320ff863fd199d5afecf0b | 0733b6c47c3086ae2499073cf67a9eb0e619ff0e | /patterns.py | cd4cf9c4477c85b7c65823d31942482b4ec652d4 | [] | no_license | kajendranL/Daily-Practice | 57f16555452d897731a24ad31212edb6df60f649 | 747d017c81e8063eef362117c9e026513d6f8f92 | refs/heads/master | 2020-06-19T14:35:25.044782 | 2020-02-14T19:16:32 | 2020-02-14T19:16:32 | 196,745,539 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,652 | py | patterns.py |
print("____________________________________________________________")
print("Pattern 1")
print()
n=6
for i in range(1, n+1):
print("*"*n)
print("____________________________________________________________")
print("Pattern 2")
print()
n=6
for i in range(1,n+1):
for j in range (1, n... |
1497eb0cfd475c1c339c08662d8cc71864bda37c | 6ee6ac0e40c4a618507c411db9340fad40fc800f | /data_munging_data-preprocessing.py | 00c639def764f216ce340f33a5118ea60903dfc4 | [] | no_license | Dvshah13/Machine-and-Deep-Learning-Code-Notes | a002e2f1141469ac5a6f5106270fa90e8f83ae0a | c44690731ddd17f9ec0d01f72704c2077ac08729 | refs/heads/master | 2021-01-18T18:05:39.966048 | 2017-05-09T15:55:47 | 2017-05-09T15:55:47 | 86,843,376 | 5 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,987 | py | data_munging_data-preprocessing.py | import pandas as pd
## Loading file into pandas DataFrame
df = pd.read_csv('Data Sets for Code/istanbul_market_data.csv', sep=',', decimal='.')
## creating a mask function to a Boolean value to a condition I make (here true or false for TL Based ISE greater then 0.02)
mask_feature = df['TL Based ISE'] > 0.02
print ma... |
85a9cd1a527a77b0939b45f4889eb12312bdfd49 | a687345d9ab84e9acbafed05773fee72e5461cce | /guess.py | 7741a9c5396b98b4352f461eca040523b5e65bfb | [] | no_license | lgxxabc/guess | a26fb8cf0db65ea4eadf0e48a921869fe6d3a50b | 33ad2d1629acf6f75989fa6f47083a4cde95ad10 | refs/heads/main | 2023-01-05T09:34:00.634049 | 2020-11-01T23:26:40 | 2020-11-01T23:26:40 | 309,206,378 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 978 | py | guess.py | # # Generate a random number.
# # random is a module in a package;
# # there are different packages in the standard library
# import random
# # randint is a function of random
# r = random.randint(1, 100) #Scope:1 ~ 100
# print(r)
# Practice: Guess a number. 猜對：“恭喜。”猜錯：告訴他是比答案大/小。
import random
# Add a funcit... |
6a43467efabc6392ff43b4e7fade187ec763a419 | 636b0ae2797a932a7cc55cefb4877d564969b594 | /code/submission_utils/send_readonly_link.py | 029910ca50122529f7b24d720a67c531a27058d9 | [] | no_license | fkroeber/teaching | e4f4eb13f2c249758cf6f49c2ec0ba4da25a3e08 | 122c8f6cb43f5766005d8516faf6671ff0ff4ced | refs/heads/master | 2023-08-14T18:06:42.179793 | 2021-10-18T09:41:43 | 2021-10-18T09:41:43 | 418,929,621 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,437 | py | send_readonly_link.py | import owncloud
import argparse
from getpass import getpass
import numpy as np
import pickle
import json
import csv
import sys
import os
from exchangelib import Account, Configuration, Credentials, Message, Mailbox, DELEGATE
from exchangelib import EWSTimeZone, EWSDateTime, EWSDate
def setup_cmdline_parser():
pa... |
ddd50f74258f69effd94a82bf120bfb796c49168 | 600fc4f887951aa5abcf9ea0e897d2e4a49dd94a | /game.py | faea64d577d2621e9e2d9bdf7a1fe979f5cb7325 | [] | no_license | BenJStoffels/neuroEvolution | b5e3f42c90f51b80ad99a7b2544d9d98527f7042 | ba04818af0db49ed9d31745a1200ac4d2b986ecd | refs/heads/master | 2021-04-09T16:58:09.025394 | 2018-09-22T08:08:34 | 2018-09-22T08:08:34 | 125,620,993 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,952 | py | game.py | import pygame
import random
from Vector import Vector
from NeuralNetwork import NeuralNetwork as NN
pygame.init()
class SnakeGame:
def __init__(self, window=False):
self.length = 0
self.history = []
self.lastMove = None
self.brain = NN([24, 20, 5, 4])
self.isDead = False
... |
62d8388f8d54d94066d37c836e1d4a1581c5677d | 4925df0284dea9504bca4d17f71eba94e290e119 | /CadenasTexto/metodosValidacion.py | e871b9faecac1cace9420812ac626872086f61f2 | [] | no_license | Faydiamond/boockPY | 1625ca5b1a533c358f7ab0813043fc9c453bf569 | 1e35d5b33bd8aa6b4a363fe42462e95444912bce | refs/heads/main | 2023-03-08T21:29:39.471232 | 2021-02-24T18:49:28 | 2021-02-24T18:49:28 | 342,001,525 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 917 | py | metodosValidacion.py | # ******************************************** Metodos de validación ****************************************************************************
name = "fabian rene socha barbon"
# saber si una cadena comienza con una subcadena determinada
print(name.startswith("barbon",18))
print(name.endswith("barbon",18))
# sa... |
0c4b5b186233488271035a4cff8b79e72dfcf48e | 6226b6bef135cda5ec8700903b01af4088a17f80 | /webapp/webapp/ccaRunner.py | 3ad3e97a7eaf453167cb6295dc53407cedf25da4 | [] | no_license | slackeater/cca | 2cd7000e161ea4dcae9f821b31e88b3fd09330f7 | 16c7a637b9a5dd4d854feb7ddc3d2aac308a46a0 | refs/heads/master | 2020-04-28T11:09:45.817457 | 2015-02-04T16:49:43 | 2015-02-04T16:49:43 | 24,945,342 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 524 | py | ccaRunner.py | from django.test.runner import DiscoverRunner
from django.test import TestCase
from django.conf import settings
from dbMaker import MakeDatabase
class CcaRunner(DiscoverRunner):
def setup_databases(self,**kwargs):
print "Creating and populating DB..."
superDb = super(CcaRunner,self).setup_databases(**kwargs)
... |
27cd926c7ea8e5de8e69e2211d49fa7769e363f0 | 32747475305f029f662a5a4428491aa7000f3d07 | /random_forest_Regressor.py | 8418dc90c61d3aa3027aa396a67702676005455f | [] | no_license | mad-farmer/randomforest | 9263ce2687dbd5a4feaa474b22d0a06e8137d968 | c5590b2110587631b673c7492eea9d3f62f5d8a1 | refs/heads/master | 2022-04-22T21:35:14.680615 | 2020-04-25T19:17:55 | 2020-04-25T19:17:55 | 258,854,935 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 959 | py | random_forest_Regressor.py | #PART 1: PREDICTING PETROL CONSUMPTION
import pandas as pd
#importing csv file
df=pd.read_csv("petrol_consumption.csv")
df.head()
#preparing data for training
y=df.iloc[:,4].values.reshape(-1,1) #Petrol_Consumption
x=df.iloc[:,0:4].values #other columns
#creating train and test values
from sklearn.model_... |
7491910cb1618e1077ecfa9fd497815e9a0fa1f5 | 74aa027dd996c51d9149ab0cafa91983fc5a4f51 | /saegan/autoencoder.py | 076cbe499ff6da907f337138dd36318442d03657 | [] | no_license | SongDark/timeseries_to_image | 207f6acebb02ef65c961c690be36107efb5a0663 | 26770197eec62080704c030ddb33d58b29cec480 | refs/heads/master | 2020-06-02T13:03:01.794206 | 2019-06-10T12:18:00 | 2019-06-10T12:18:00 | 191,162,228 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,757 | py | autoencoder.py | import sys
sys.path.append("..")
from utils import *
class AutoEncoder_Image(BasicBlock):
def __init__(self, len_latent, name=None):
super(AutoEncoder_Image, self).__init__(name=name or 'AEI')
self.len_latent = len_latent
def encode(self, x, is_training=True, reuse=False):
with tf.... |
830fd96c7f7e77f99ea44c65d22f4fed41508f34 | 66d0cef209724eda7945edcec7c34cb1234db488 | /app/mod_auth/forms.py | fde910f060ee65c2c759097957dfe051c42e38ad | [] | no_license | Gacheru/bc10-libraryApp | 15270e4769a48df32d44883a1494eb9ce0557f62 | 68548055262960b74835b26fedcae4bafe53f1f2 | refs/heads/master | 2021-01-12T16:56:23.834819 | 2016-10-22T16:26:32 | 2016-10-22T16:26:32 | 71,467,789 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,913 | py | forms.py | # Import Form and RecaptchaField (optional)
# Import Form elements such as TextField and BooleanField (optional)
# Import Form validators
from wtforms import Form, PasswordField, BooleanField, StringField, validators
# Define the login form (WTForms)
class LoginForm(Form):
email = StringField('Email Address', [val... |
1d12e389236a0f033de9cb9f53e3bfdc2e426b7d | 1d1f9f8430945416cf9fec352c2a7bc0fafc701d | /spaces/migrations/0013_space_price.py | 3e16adc0ba8eb74482ebb4db802286bd77cd065a | [] | no_license | Code-Institute-Submissions/generalroom | f68da18a5d86f40b587a6b45dcbe1b9991eab532 | 9e719a82ab453a1730a9dc92abe2b61b0faf20ff | refs/heads/master | 2023-04-12T06:27:44.419590 | 2021-05-16T13:27:57 | 2021-05-16T13:27:57 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 512 | py | 0013_space_price.py | # Generated by Django 3.2 on 2021-04-20 14:31
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('spaces', '0012_auto_20210420_1338'),
]
operations = [
migrations.AddField(
model_name='space',
... |
b81237ddeb9d68fb6e9d16da7579c263ce224616 | 10ec57f6eb54d03f431343b4c4be0a1182b6da97 | /MedicalImages/3_Create_your_neural_network.py | 60df84ee0ac6c930aa5d8a6c8a48f6d77f244af6 | [] | no_license | iasonasxrist/crispy-palm-tree | 44bce5c557d86738d44593d2eda95bd42354a461 | 9accf82ff598fd05a7a1cae85049789f2f1a0cf8 | refs/heads/master | 2023-01-11T06:55:25.358530 | 2020-11-14T05:04:07 | 2020-11-14T05:04:07 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,423 | py | 3_Create_your_neural_network.py | #!/usr/bin/env python
# coding: utf-8
# # Medical image analysis with PyTorch
#
# Create a deep convolutional network for an image translation task with PyTorch from scratch and train it on a subset of the IXI dataset for a T1-w to T2-w transformation.
# ## Step 3: Create your neural network
#
# ### Milestone 3
# ... |
6df3388b5e771269082009fd9c7602b7e7f90623 | 94968d4e72c7d2d3a00c0d7b070c6182e008f5e0 | /outils.py | fb51af40884b8acdd3b5be0f99e95670b760e46f | [
"MIT"
] | permissive | moustaphacheikh/Authorprofilling | 50e489d888040573cd7eebab65e8daeea34275ee | 910009c0594fcb1e36a6862b58129011c63f0c03 | refs/heads/master | 2021-03-22T02:56:30.471732 | 2018-01-11T09:08:47 | 2018-01-11T09:08:47 | 96,023,341 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,558 | py | outils.py | import re
import pandas as pd
from lxml import etree
def get_data(file_name,genre):
sentences = []
with (open('./data/ar_PAN/{}.xml'.format(file_name),'r',encoding='utf8')) as f:
doc = etree.parse(f)
root = doc.getroot()
for i in range(len(root[0])):
sentences.append([preprocessing(roo... |
51746aa4cdfddbbc54765f594c598c90b28a3753 | f75cdc13e45ff49631bff46fe50b6b38a8582fe9 | /discord/db.py | a2fb81edc9aa94f359b8399efb2f0b752bd54623 | [] | no_license | Iggdraisil/patternsLab3Back | 2121d771fa6ba63a1fba4684392de8da1728c436 | a112393f230b1e0deb5e2a33b7385346f1be3904 | refs/heads/master | 2023-04-10T00:50:53.019928 | 2021-04-22T10:44:26 | 2021-04-22T10:44:26 | 360,482,743 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 595 | py | db.py | import sqlalchemy
from sqlalchemy import create_engine, MetaData
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker, Session
SQLALCHEMY_DATABASE_URL = "sqlite:///discord.db"
engine = create_engine(
SQLALCHEMY_DATABASE_URL, connect_args={"check_same_thread": False}
)
... |
eadf488d9254dc28eb831d4c296c40e3cf8e2497 | d943dc63055734ad365d370c37772998836dc086 | /spline.py | 28bb5c58df218092edcf39b560394793c4bef3c2 | [] | no_license | kristoferent/lab3 | 9f5266d03e609fb94c4a24c6501f9197c3354802 | 0d7dc3fa0ddc4cb55f81b394d29bb1dbb7faef7d | refs/heads/master | 2020-05-30T07:48:07.976749 | 2019-05-31T14:12:36 | 2019-05-31T14:12:36 | 189,605,001 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,592 | py | spline.py | import numpy as np
import time
import math
import matplotlib.pyplot as plt
import scipy.linalg as sla
def sweep(n, a, b, c, f):
alpha = np.zeros(n + 1)
beta = np.zeros(n + 1)
x = np.zeros(n)
for i in range(n):
d = a[i] * alpha[i] + b[i]
alpha[i + 1] = -c[i]/d
beta[i + 1] = (f[i]... |
ccf1e42c542c19101fa036cf9e99b2963b4b601c | f8e60f2c2c3d58ccac8dd1f5b31e4a358f2ba43f | /code/main.py | e1439697b18216b033c26952c8d516c57b7ebb6a | [] | no_license | talled23/BCACam | 8934f0ce23fc571bb0631f8e0f5ad36dab6d78a4 | 6759db640feb6c8a8c14da6f33e5c421a9f6a01c | refs/heads/main | 2023-02-27T07:18:03.739432 | 2021-02-03T19:53:57 | 2021-02-03T19:53:57 | 322,446,616 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,392 | py | main.py | # python -m pip install plyer
from plyer import notification
def postureFix():
notification.notify(
title='Fix your posture',
message='Or else...',
app_icon='./code/kanye.ico', # i want it to be kanye.ico'
timeout=10, # seconds
)
# starter code taken from documentation
# http... |
f64cfaa2e10241131e29de32841b7c2b4cdc3930 | 7394675ba78d183e5683f897cef8493bd23fb677 | /src/Main.py | a2816adf491652cb5821ca2c6eb55a00ce5f5c23 | [] | no_license | andreamartire/pygreco | 77f0db7a06129c630b113ab8b8f1f3a242cfd079 | 55de4fabf711b65cd5ad00d12cf9f690f1bf0538 | refs/heads/master | 2020-05-30T16:44:20.439922 | 2015-09-29T16:13:10 | 2015-09-29T16:13:10 | 33,035,628 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 592 | py | Main.py | '''
Created on Mar 28, 2015
@author: Andrea Martire
'''
import Constants, time
from model import QuadBitBoard
from model.Generator import Generator
from engine.AlphaBeta import AlphaBeta
board = QuadBitBoard.QuadBitBoard()
start_time = time.time()
move = AlphaBeta.calculateSolution(board, Constants.WHITE, 8)
pri... |
51a5252124bef32079aac1eafe5723e3a533ed25 | b7efc775828a0d9862c1fb296b802cd0bb5081c3 | /Leetcode/Weekly Contest 237/WC237-C.py | bad7b3de912aaefc72eb68b1e9592073fb812d76 | [] | no_license | Laboputer/ProblemSolving | ab8732d4d6e4b4d26c5f0d704080dbe16ee175f7 | 1646fa00a1c1511a94cfa69c593d1df39f58de7b | refs/heads/master | 2021-11-23T02:05:17.766165 | 2021-11-02T14:33:03 | 2021-11-02T14:33:03 | 101,497,398 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 649 | py | WC237-C.py | class Solution(object):
def getOrder(self, tasks):
tasks = sorted([(v[0], v[1], i) for i, v in enumerate(tasks)])
available = []
res = []
cT, i = 1, 0
while len(available) != 0 or i < len(tasks):
while i < len(tasks) and tasks[i][0] <= cT:
... |
5cc4da25a01ef28362754e56071283a52348d8a2 | 26ba8fdcd3ee60b6f3e1d40f4653078f6fb6278d | /evm/vm/forks/sharding/transaction_context.py | 52455be77221dc6db41e4740eeb3f8ca087c2ba6 | [
"MIT"
] | permissive | cburgdorf/py-evm | 5b096202aab2b8749f15debdff5f78491d148952 | 98d98f69816081b0a280c2682de7a5d3cb29b9d6 | refs/heads/master | 2021-04-27T15:17:25.955863 | 2018-03-28T02:33:04 | 2018-03-28T02:33:04 | 122,467,896 | 0 | 1 | MIT | 2019-02-22T15:25:01 | 2018-02-22T11:07:50 | Python | UTF-8 | Python | false | false | 889 | py | transaction_context.py | from evm.transaction_context import (
BaseTransactionContext,
)
from evm.validation import (
validate_sig_hash,
validate_uint256,
validate_canonical_address,
)
class ShardingTransactionContext(BaseTransactionContext):
def __init__(self, origin, sig_hash, transaction_gas_limit):
validate_ca... |
ce36f68dc5ebec6ddde9bc448a6e4170a2a709b9 | 134c429df7d5c4d067d9761cb1435992b048adaf | /notes/1399/1399.py | e7059d013e1bb024d9819d3ab3c2ead366e692fd | [] | no_license | PaulGuo5/Leetcode-notes | 65c6ebb61201d6f16386062e4627291afdf2342d | 431b763bf3019bac7c08619d7ffef37e638940e8 | refs/heads/master | 2021-06-23T09:02:58.143862 | 2021-02-26T01:35:15 | 2021-02-26T01:35:15 | 177,007,645 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 370 | py | 1399.py | class Solution:
def countLargestGroup(self, n: int) -> int:
def sumOfDigits(i):
return sum([int(d) for d in str(i)])
table = collections.defaultdict(list)
for i in range(1, n+1):
table[sumOfDigits(i)].append(i)
return len([i for i,j in table.items() i... |
c3cea517cbe989418a37ae16dcecdb3da6f60367 | 268a98044e9fd42185000b4ddb24f8e0259286c0 | /tensorflow_tts/losses/__init__.py | 6a8da75a9301c2dc28e019085fcbd4e7256fe883 | [
"Apache-2.0"
] | permissive | RakaMaru/TensorflowTTS | f711e04e5c7cacd8d7888a0df5df6c8a5b7277fc | 473eb717503454fa2eabadefd7bcd2459673f6f2 | refs/heads/master | 2022-11-14T19:29:03.019370 | 2020-07-07T18:47:16 | 2020-07-07T18:47:16 | 276,814,232 | 1 | 0 | Apache-2.0 | 2020-07-03T16:57:35 | 2020-07-03T05:21:26 | null | UTF-8 | Python | false | false | 125 | py | __init__.py | from tensorflow_tts.losses.stft import TFMultiResolutionSTFT
from tensorflow_tts.losses.spectrogram import TFMelSpectrogram
|
c0b7009708a98939722040e0cc997a924f10fee0 | 6521fba80050de5cb963888288c3be3fa567bc93 | /bangun datar.py | e7103e96e94068c6cf694b0973fcca19cc165914 | [] | no_license | nakamurayosuke7/tugas-individu-5 | b95ae06033d2bd7cfa491ff6367b70d4eb92d28b | 408a8208b5307a8d69721c3236b612af9756456e | refs/heads/main | 2023-08-29T07:26:16.700314 | 2021-11-02T11:14:36 | 2021-11-02T11:14:36 | 423,809,657 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,160 | py | bangun datar.py | import sys
import time
import math
import colorama
from colorama import Fore, Back, Style
colorama.init(autoreset=True)
print("\n")
text = " PROGRAM MENGITUNG LUAS DAN KELILING BANGUN DATAR "
time.sleep(2)
print(text.center(100, "="))
head = ("\nBERIKUT DAFTAR BANGUN RUANG YANG KAMI DUKUNG:"
"\n\n1... |
0015f49214e8f76d2e51e71a1c994ad8653085d0 | b3c47795e8b6d95ae5521dcbbb920ab71851a92f | /Codeforces/Codeforces Round #239 (Div. 2)/D.py | 9754f6d6e4deb2c05094554106234f34ac2121b5 | [
"LicenseRef-scancode-warranty-disclaimer"
] | no_license | Wizmann/ACM-ICPC | 6afecd0fd09918c53a2a84c4d22c244de0065710 | 7c30454c49485a794dcc4d1c09daf2f755f9ecc1 | refs/heads/master | 2023-07-15T02:46:21.372860 | 2023-07-09T15:30:27 | 2023-07-09T15:30:27 | 3,009,276 | 51 | 23 | null | null | null | null | UTF-8 | Python | false | false | 1,540 | py | D.py | MOD = (10 ** 9) + 7
class Solution(object):
def __init__(self, ns):
self.n = len(ns)
self.ns = [-1] + ns
def solve(self):
self.d = {}
res = 0
for i in xrange(self.n + 1, 1, -1):
res += self.do_solve(i - 1) + 1
res %= MOD
# print self.d
... |
0fe1e16e0459357d2f1c1f0ace94e010e84b3311 | 1495d021389a5e9e5eff02e505f400d270b49623 | /src/journal/migrations/0004_auto_20160801_1743.py | 85de6ad469c06caed0d2a65ea412bd639e891648 | [] | no_license | metamorfoso/scifi-journal | d26d0e9cb8bde128cf8eaf2ec84342149c848caa | a272a6734bf3c97d468743e5a3883190d6117974 | refs/heads/master | 2021-06-19T01:58:00.307812 | 2020-07-15T11:52:15 | 2020-07-15T11:52:15 | 63,315,999 | 0 | 0 | null | 2021-03-19T22:18:19 | 2016-07-14T08:08:40 | Python | UTF-8 | Python | false | false | 484 | py | 0004_auto_20160801_1743.py | # -*- coding: utf-8 -*-
# Generated by Django 1.9.7 on 2016-08-01 17:43
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('journal', '0003_issue_published'),
]
operations = [
migrations.AlterField(
... |
9a7a280e042c890783c8c6c6486c23a4147523e1 | d343ce185f36f4328a7b9e5ed25e3cc2ebdbf3f3 | /SQL/HouTaiStatics.py | 8e1c4f6126fc7c3305b41be312af117212c36905 | [] | no_license | Feynman11will/StaticsDocAnnotationTime | 25fb74e89b25ad713ae7365c7b33b7834539bd2e | cfaaf7c14a26a1be9a5930561159749f670d09b2 | refs/heads/master | 2020-11-28T01:37:20.866563 | 2019-12-23T03:36:49 | 2019-12-23T03:36:49 | 229,670,312 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,429 | py | HouTaiStatics.py | '''
@Author: your name
@Date: 2019-12-03 12:06:19
@LastEditTime: 2019-12-13 14:24:32
@LastEditors: Please set LastEditors
@Description: In User Settings Edit
@FilePath: /taskStatics/SQL/SqlTest.py
'''
import sys
import os
sys.path.append('../')
import numpy as np
from dw_sql_operator import SqlOperator
database61 = {"... |
9ae5ff344a8e8c0808c128d4ebec7d06cdcc6a86 | dcc9d1dbee5b3dc37f8c8a97ba3045a5a6227bf0 | /structures/union_find.py | 0c8a1d46c4b5154d8c951602b80bc41b238a4f37 | [] | no_license | alex-bo/leetcode | 1786d450e50efb52fcb3748efa89ae1d5feb7d4f | c3cc49250a564801b82bac89115de94c75569dce | refs/heads/master | 2022-11-12T00:15:41.860752 | 2022-11-05T21:07:12 | 2022-11-05T21:07:12 | 184,185,382 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 30 | py | union_find.py | # TODO: implement Union-Find.
|
d84cc7acc548d92ab7cc1f342f16612ef89b4fae | f8ae5bfb584b1146c9374d1ed691071101c69959 | /tamarco/resources/basic/metrics/meters/__init__.py | 8b4388c804cc2ba1d305b4de5c5cf1685f727b96 | [
"MIT"
] | permissive | System73/tamarco | efaafc688e7842f3d3401824bfd5f0248ba6f5cb | c85bec267d39057a4cd5f1c9854d5e2840cebb1e | refs/heads/master | 2023-01-12T14:48:41.736446 | 2020-04-08T11:54:44 | 2020-04-08T11:54:44 | 206,774,208 | 11 | 3 | MIT | 2022-12-26T20:56:21 | 2019-09-06T10:50:42 | Python | UTF-8 | Python | false | false | 159 | py | __init__.py | from .base import Timer
from .counter import Counter
from .gauge import Gauge
from .summary import Summary
__all__ = ["Counter", "Gauge", "Summary", "Timer"]
|
ded0350e850db9b89a13342cd1b011bd4d5d9a93 | 4cc13e50fd2ee6787bd0fc17aa7a696ff4f28f5e | /samples/model/s3_sample_model.py | c061deb0a5ccfe1cbfb03ecc24d966cb857845dd | [
"Apache-2.0"
] | permissive | mbaijal/sagemaker-controller | 684a23e7c7fcfad92f0f7345b0fa894447223a8a | fb9b751308ecb67f8f2223e7000e3b301ff8d2fb | refs/heads/main | 2023-07-31T20:25:25.288816 | 2021-09-16T22:09:03 | 2021-09-16T22:09:03 | 335,694,679 | 1 | 0 | Apache-2.0 | 2021-02-03T16:58:58 | 2021-02-03T16:58:58 | null | UTF-8 | Python | false | false | 974 | py | s3_sample_model.py | import urllib.request
from urllib.parse import urlparse
import sys
# Gets your bucket name from command line
try:
bucket = str(sys.argv[1])
except Exception as error:
print("Please pass your bucket name as a commandline argument")
sys.exit(1)
# Download model from pinned commit
url = "https://github.com/a... |
3ef28304f31fabdaafc1e9f9cfc18492e5a40408 | f86ac8e250dd453f997b761c7eccc6916ed8522e | /mapping/models.py | fa141cb72fa209cced62b1277ef56dca8dff6358 | [
"MIT"
] | permissive | joshua-taylor/dataIntegrator | 5fdda71ff278bf2f1168ada1e1bd5fa2193e5e94 | dc0cdc6bb0177b6499d49ca2e39b42291656235e | refs/heads/master | 2020-03-28T09:30:32.680918 | 2018-09-09T15:55:47 | 2018-09-09T15:55:47 | 148,036,929 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,703 | py | models.py | from __future__ import unicode_literals
from django.conf import settings
from django.db import models
import datetime
class Requests(models.Model):
creator = models.ForeignKey(
settings.AUTH_USER_MODEL,
on_delete=models.CASCADE,
)
name = models.CharField(max_length=40, blank=True)
desc... |
46956a3981ec568946a314f10616e5a334e0e869 | 707c6a7f3b3213c8a996967ede905aeb18a8c6d9 | /solutions/Integer-to-English-Words.py | 809f049429a68399f80cfe9cf312249a4f85fc54 | [] | no_license | Ziyilan/Pyleetcode | d35b9c2ae6c890dfd42804264b139bfddb8db563 | 81a9d98607b4ce554507d16763ee82f7dad49edd | refs/heads/master | 2020-12-11T02:11:38.470153 | 2015-10-27T18:46:47 | 2015-10-27T18:46:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 928 | py | Integer-to-English-Words.py | """
Author: Jing (https://github.com/gnijuohz)
Integer to English Words: https://oj.leetcode.com/problems/integer-to-english-words
Convert a non-negative integer to its english words representation. Given input is guaranteed to be less than 231 - 1.
For example,
123 -> "One Hundred Twenty Three"
12345 -> "Twelv... |
2ca903b23f51718a9b92ec63af4d57cdd2f9c64e | a298598d08596c35021461e00f48ba2a5ef8f66f | /exercises/2.1/train-arm.py | 52862b45882d417006a75879ebdf2d7a81e52d77 | [] | no_license | misko/openai_stuff | f328d573d50af0d5019fd79bebfdac468ee98fa8 | 6fe9dfbfc080d4aeec891c549eda97922a708a7e | refs/heads/master | 2021-01-17T17:34:19.250575 | 2016-07-26T04:48:25 | 2016-07-26T04:48:25 | 62,927,965 | 0 | 0 | null | 2016-07-12T17:09:18 | 2016-07-09T02:20:31 | Python | UTF-8 | Python | false | false | 1,637 | py | train-arm.py | import gym
import numpy as np
#env = gym.make('CartPole-v0')
env = gym.make('Acrobot-v0')
env.monitor.start('/tmp/cartpole-experiment-1',force=True)
#how many big iteration to do - big iteration is updating the means and variance
big_its=200
#how many small iterations to do for a fixed theta distribution
small_its=5... |
68a5455c122cc86f51de0c5b1407d62080e4a759 | 264d5cfac2d2275022e2f809395008a266e31a46 | /Tweets-Listener.py | c8ca2eb37c1ec98e31ad644c1cad610d368076dc | [] | no_license | nguyentrantuan/Twitter-Stream-NoSQL | b3276a87435d1d3a540ccdad36f43febe7c418a4 | 0307a3c5ff39847ff5e743660ca5d637066f6419 | refs/heads/master | 2021-01-11T21:09:20.035000 | 2017-01-19T04:25:42 | 2017-01-19T04:25:42 | 79,257,945 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,451 | py | Tweets-Listener.py |
#Import the necessary methods from tweepy library
from tweepy.streaming import StreamListener
from tweepy import OAuthHandler
from tweepy import Stream
import json
import boto3
import boto.dynamodb2
from boto.dynamodb2.table import Table
from boto.dynamodb2 import connect_to_region
from boto.provider impor... |
3aabf58de598547683b6f8a661701d4f35936b0b | f2c379bb45a298737085db66123cfe7344b6a07c | /testModelFilter.py | d8aca26ffc8c241f49f3be201cfcf2d9ca5942fa | [] | no_license | dwchung4/Political-Ideology-Detection | 184682a61af6716fdb89e0847ea4758649168257 | 6cd9834592592d80a810107919507a00ac46068e | refs/heads/master | 2021-01-01T04:35:35.840094 | 2016-05-10T02:26:22 | 2016-05-10T02:26:22 | 58,423,032 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,812 | py | testModelFilter.py | # test naive bayes and linear SVM classifiers with additional filters
# on the 2005 Congress debate transcripts
import numpy as np
import os, fnmatch
from sklearn import metrics
from sklearn.metrics import f1_score
from sklearn.cross_validation import StratifiedKFold
from sklearn.naive_bayes import MultinomialNB
from ... |
513ccdaac9c7fe42cfbb327abfbccb4aeaccc971 | 53fab060fa262e5d5026e0807d93c75fb81e67b9 | /backup/user_323/ch127_2020_04_01_17_05_06_998977.py | a4373e7fe2fe89583c306f1fc363262a2f80b0b9 | [] | no_license | gabriellaec/desoft-analise-exercicios | b77c6999424c5ce7e44086a12589a0ad43d6adca | 01940ab0897aa6005764fc220b900e4d6161d36b | refs/heads/main | 2023-01-31T17:19:42.050628 | 2020-12-16T05:21:31 | 2020-12-16T05:21:31 | 306,735,108 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 97 | py | ch127_2020_04_01_17_05_06_998977.py | import math
def calcula_elongacao(O, A, T, W):
x=A*math.cos(math.radians(O+W*T))
return x |
15e8852c0c88421cba4dc949ceceddf96e90378d | 48f3b799925d1fcc22293adb494cbaac756d90b4 | /Grover/grover.py | efbdbb07443d94f3f92c56db1f28c3f4c79b75a4 | [] | no_license | HenningBuhl/QuantumComputing | e1f1b831a59ff4025ad2416bdeeaeb162e6199e4 | a9d64890d24c6ba24685c5b4fc6a608bfed9848b | refs/heads/master | 2023-05-31T13:06:20.012206 | 2021-06-15T18:50:51 | 2021-06-15T18:50:51 | 358,881,148 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,188 | py | grover.py | import matplotlib.pyplot as plt
import numpy as np
# importing Qiskit
from qiskit import IBMQ, Aer, assemble, transpile
import qiskit as q
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
from qiskit.circuit.library import XOR
from qiskit.providers.ibmq import least_busy
# import basic plot tools... |
916dd70ad97728e824d877978964a6683cc480fa | f1368269d2a52457fb25e2fb8f7b489123299ed5 | /bucket_list.py | 0d041a2b17e191363a18d48eb98d619d07b4d3fa | [] | no_license | bukandu1/btdapp | c45b39c77904b093766cd9c36f55363a318d7f94 | 3663690b4af6d3e64e92309eccf31d246924f675 | refs/heads/master | 2022-12-14T10:34:37.045687 | 2020-01-17T01:01:53 | 2020-01-17T01:01:53 | 234,435,145 | 0 | 0 | null | 2022-12-08T03:27:19 | 2020-01-16T23:59:45 | Python | UTF-8 | Python | false | false | 154 | py | bucket_list.py | def get_bucket_list():
return "no data"
def create_bucket_list():
pass
def delete_bucket_list():
pass
def update_bucket_list():
pass
|
7434be81908e5d5e6cbf7c6140fe527dd0176161 | 710d0cbb3e4857a88385904bfb81d716cd5eae16 | /get_opinion.py | 836e1038e3f9991e97b668c275a45c2c58f30828 | [] | no_license | nhsb1/barchart_opinion | a4e78959e85b2edbbf2544329d5ca91f0ddd78af | 702610c32f5ace2bb98759e16426cd6367ba5036 | refs/heads/master | 2021-07-04T16:25:09.061709 | 2017-09-27T21:41:15 | 2017-09-27T21:41:15 | 105,072,257 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 900 | py | get_opinion.py | #!/usr/bin/env python
from bs4 import BeautifulSoup
import urllib2
def get_barchart_opinion(ticker):
"""
Returns barchart.com opinion as a percentage (e.g. 88%) from URL - https://www.barchart.com/stocks/quotes/OLED/opinion
"""
baseurl = 'https://www.barchart.com/stocks/quotes/'
endurl = ticker
urlsuffix... |
1d4142b59971dfda73ff2d0faf62131a84e139f6 | 8f0ce1be6cc093d962c64179eec99c7ccc20ffc4 | /design/migrations/0015_auto_20171005_1414.py | 37b25a61259fa6e457c895e191623ac54d488ef1 | [] | no_license | dmeehan/futuregreenstudio | cf5e12c6ead8f0c7023ba09d5868749888068b72 | e6e2b7f7ffa2ed251d21e6b1d07573ab4f70782f | refs/heads/master | 2023-08-30T20:12:24.814970 | 2023-08-28T14:55:26 | 2023-08-28T14:55:26 | 89,943,081 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 469 | py | 0015_auto_20171005_1414.py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.5 on 2017-10-05 14:14
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('design', '0014_auto_20171004_2036'),
]
operations = [
migrations.AlterModelOptions(... |
dc40567c1045721c36bfe026c47f1559b1482895 | 1c57c4c958e369f9139b0db7c1ba4336b0ba47f6 | /ahp_rest/objectives/models.py | 0a51304a4520ac4e42ca424d5f69fd734066db1a | [] | no_license | vLDemonizer/ahp-rest | 8eb9a73e3b793d98a1da15f8ee2bf598c8352fc2 | 5410272919da965373805eb600cd0f7cc45d0b75 | refs/heads/master | 2021-07-18T22:37:50.889528 | 2017-10-26T16:53:32 | 2017-10-26T16:53:32 | 108,071,219 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 982 | py | models.py | from __future__ import unicode_literals
from django.db import models
class Component(models.Model):
judgement = models.ForeignKey('Judgement', related_name='components', on_delete=models.CASCADE)
name = models.CharField(max_length=80)
most_important = models.BooleanField(default=False)
by_how_much = ... |
47f92ec3ee10159ff6b09b8d89fc60326ab3798a | 57ddab24ba7860f8878c689f9fa22b0779d60157 | /categorias/iniciante/uri1048.py | 988a8e9fb1e475a3c356f45cc64ed9aa132cb676 | [] | no_license | matheusfelipeog/uri-judge | ba1d32e50ad7239b331ad0e1181a1bffc6e61b41 | 0232be52da78fd67261c6d6a74eff3267d423afd | refs/heads/master | 2021-07-03T02:32:13.395829 | 2021-01-29T18:32:35 | 2021-01-29T18:32:35 | 215,845,427 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 698 | py | uri1048.py | # -*- coding: utf-8 -*-
tabela = [
[0, 400.00, 0.15],
[400.01, 800.00, 0.12],
[800.01, 1200.00, 0.10],
[1200.01, 2000.00, 0.07]
]
salario = float(input())
reajuste_ganho = 0
porcentagem = 0
for linha in tabela:
salario_minimo, salario_maximo, porcentagem = linha
if salario_minimo <= salario... |
30a6d71ca22e0fa906360892595d8d246c720f31 | 6d35c3cdc2ea4a39cd12cff80d09375c78168a6a | /util.py | bd747965fba5af5adf3e03e44a05e99b76ceda77 | [] | no_license | Spumi/ask-mate-python | 9c4cf02a791437e6bf7c1a42abeae022158821dc | f5bf4dbb790cfab784b5d38d44d78d1be93fd99f | refs/heads/master | 2020-07-22T18:41:02.307749 | 2019-09-23T07:31:08 | 2019-09-23T07:31:08 | 207,292,149 | 0 | 1 | null | 2019-09-09T11:21:05 | 2019-09-09T11:21:05 | null | UTF-8 | Python | false | false | 4,279 | py | util.py | import copy
import os
import time
from datetime import datetime
from flask import request
import data_handler
from data_handler import get_questions, get_answers
QUESTION_DATA_HEADER = ['id', 'submission_time', 'view_number', 'vote_number', 'title', 'message', 'image']
ANSWER_DATA_HEADER = ['id', 'submission_time', '... |
5a25b958cc14a7efe027f51492fc0b66f3eb0e63 | 657e68fad26dd3cb2fd2257c66b29153fed053f9 | /walmart/similarity.py | 51386b88407349cc95df19cf2a38139a3dad9c31 | [] | no_license | tabasco7879/kaggle_walmart | be1c2b8459f1bbae08ad5577ea22ac05e4a1f48c | 831e8be6b1947b8430d0bb3d7c1f2bb181cbf1c2 | refs/heads/master | 2016-09-05T14:23:26.939684 | 2015-05-06T12:46:17 | 2015-05-06T12:46:17 | 34,701,090 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,624 | py | similarity.py | import numpy as np
import pandas as pd
from feature import compute_feature2
from utils import normalize
def sim(train, valid, test, store_weather_data, is_normalize=True, hidden_feature=None):
store_train=store_weather_data.loc[train.index]
store_valid=store_weather_data.loc[valid.index]
store_data=pd.conc... |
cdf8c8960e340bd0b4b759693a6f1e71dbe12a0d | e1346f4a84804a55a4fd88ca82b0541449185448 | /2-RegressionModels/1-LinearRegression/2-MultipleLinearRegression/Multiple Linear Regression.py | d4aebc4894d6dcfd07781dc269ed9f3459db7aad | [] | no_license | Hamza50537/Machine-Learning | ea23ed4848cd5fe2e0caf029ef921e61ee0069ec | 91f7f05a9b2dd4d2c3eb404d4222870f633b2e7e | refs/heads/master | 2023-01-09T21:38:01.826906 | 2020-11-07T20:37:13 | 2020-11-07T20:37:13 | 294,381,197 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,152 | py | Multiple Linear Regression.py | #!/usr/bin/env python
# coding: utf-8
# In[44]:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# In[45]:
dataset=pd.read_csv('50_Startups.csv')
df=pd.DataFrame(dataset) #Creating a dataframe
X=df.iloc[:,:-1].values
y=df.iloc[:,-1].values
# In[46]:
df.head()
# In[47]:
df.info()
... |
40c94f5bcb78dad4e5a1a1ff0cf7a27b82c75193 | c06e53285529bf9d721ddc59f346634e0051b353 | /delftfm_benchmark/gtsm_coarse.py | 5668e2541bdb1fb9ad4805115d955f4085401a47 | [] | no_license | nlesc-mosaic/TCM | 0af5375c8acc4148350908163e9cd0ac1a4bdd5b | 62de2bd9b18e41a5617c83f075d7e21733cc11f4 | refs/heads/master | 2022-05-06T15:38:17.534777 | 2022-03-30T11:57:58 | 2022-03-30T11:57:58 | 254,318,255 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,938 | py | gtsm_coarse.py | from datetime import datetime
from omuse.community.delft3d.interface import DFlowFM
from omuse.ext.hurricane_models import HollandHurricane
from amuse.ext.grid_remappers import bilinear_2D_remapper, nearest_2D_remapper
from omuse.units import units
from matplotlib import pyplot
import sys
import numpy
def my_plot(... |
edf45197d4f502a71f7b90b39d9b9cfdc4c2b9be | a1137b1776eaa0f9a1434c666e0a53e4c9aad796 | /complicado.py | ea0d3529b6144a9a30a9d19d2b885d1252081c0f | [] | no_license | CristianBerrioP/DojoPython3 | 0804e250380e09b28c32f053e76a1a0a784a2a1f | ee45ef52b6c4b300e79bf5a869bde8b742e105bb | refs/heads/master | 2021-06-25T09:02:12.046208 | 2017-08-26T17:05:30 | 2017-08-26T17:05:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,231 | py | complicado.py | from tkinter import*
root = Tk()
root.geometry("1000x500+0+0")
root.title("Dojo python")
text_input = StringVar()
operator=""
Tops = Frame(root, width=1600, height=80, bg="powder blue", relief=SUNKEN)
Tops.pack(side = TOP)
frame = Frame(root, width=300, height=700, bg="powder blue", relief=SUNKEN)
frame.pack(side =... |
f3ada017fec0997d88962af0120c0bfd2a7fb027 | b6b4f9740de4c020a008a7fa3816f681a5eff489 | /problem203.py | 4d7775867ac3000ca8a864f833b9b8ded99cdb01 | [] | no_license | matejm/project-euler | b3c47bad6258e09f71672bb97b6b92aa5e403bf3 | 363c269a2b1d59dbcea1c3be3bd9aae334bae10b | refs/heads/master | 2021-03-30T16:39:06.877284 | 2018-03-25T17:14:15 | 2018-03-25T17:14:15 | 122,353,792 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 387 | py | problem203.py |
def squarefree(n):
if n % 4 == 0:
return False
i = 3
while i * i <= n:
if n % (i * i) == 0:
return False
i += 2
return True
all_coeff = []
l = [1]
for __ in range(51 - 1):
l2 = [1]
for i in range(1, len(l)):
l2.append(l[i - 1] + l[i])
l2.append(1)
l = l2
all_coeff += l
all_coeff = set(all_coef... |
5937e09d782b82f1024e6b94dc1802ef78a8c8ad | 7d672d718f9f5d21cd50639d76d808a880070a45 | /weixin/contact/test_department.py | 6b2d056d3ae0d44357dba7ed29c4d62515abda7a | [] | no_license | krystalzcx/pytestFrame_aliyun | 5478558f3b777b37b96096e4f2271d0228538aa4 | 2d174409361e13eb24d2e6f5fbe1ddaf0e47865e | refs/heads/master | 2023-03-07T06:14:39.625997 | 2021-02-13T08:03:03 | 2021-02-13T08:03:03 | 328,106,112 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,179 | py | test_department.py | #-*- coding:utf-8 -*-
import sys
print(sys.path)
sys.path.append('/root/myworkspace/weixin')
from contact.utils import Utils
from contact.token import Weixin
from contact.department import Department
import requests
import logging
import json
import datetime
import pytest
class TestDepartment:
@classmethod
de... |
60e714a796c6b77d15f188f5b1289df2e67ffeeb | 74967011c999823cef067f05d2ae104986c34be6 | /ANN_tuned_predict.py | aaa0d7aef683a73fb30736a21176af57978e43ff | [] | no_license | aakarsh2126/Business-Churn-Rate-Pedicitor | bc9defb1e66fa76b936120c25439cc0b5ebdef91 | cfe82417507e5a73b3a1e59fec6b4867cac33582 | refs/heads/master | 2020-04-28T15:22:29.821191 | 2019-05-14T14:49:05 | 2019-05-14T14:49:05 | 175,370,881 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,699 | py | ANN_tuned_predict.py | import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from pickle import load
from keras.models import load_model
# Importing the dataset
dataset=pd.read_csv('Churn_Modelling.csv')
X=dataset.iloc[:,3:13].values
y=dataset.iloc[:,13].values
#encoding categorical data
#removing countries in column 0 as ... |
28bcfede2017c445cd2bd7d7385884bb2f24990a | a15ecefc814f5aba53238f45be68117137731d1b | /Gomokuy/gomokuy.py | 753913f9c86a3743a8b2eef14118c7b949e69077 | [] | no_license | huangbinhustei/PythonLearning | 3f478ce5da456b6d2ae48072e564f5a1e7f429e4 | 591c9bef41a56a5855071c50968099038c090618 | refs/heads/master | 2020-05-21T13:30:02.321253 | 2020-02-04T07:46:07 | 2020-02-04T07:46:07 | 46,901,262 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,506 | py | gomokuy.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from collections import Counter, defaultdict
import logging
from base import BaseGame, B, W, timing, show_timing
from conf import a
v_max = -9999999
v_min = 9999999
ROADS = {0: (0, 1), 1: (1, 0), 2: (1, 1), 3: (1, -1)}
SCORE = {
"冲6": 100000,
"冲5": 100000,
"... |
6a55c03315919c1540a3a2468a9e43e6e6d36d40 | cb1d59b57510d222efcfcd37e7e4e919b6746d6e | /python/shortest_word_distance.py | 60e9b0c3d9a18dccb6d3033bbb49b4df303830ad | [] | no_license | pzmrzy/LeetCode | 416adb7c1066bc7b6870c6616de02bca161ef532 | ef8c9422c481aa3c482933318c785ad28dd7703e | refs/heads/master | 2021-06-05T14:32:33.178558 | 2021-05-17T03:35:49 | 2021-05-17T03:35:49 | 49,551,365 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 514 | py | shortest_word_distance.py | import sys
class Solution(object):
def shortestDistance(self, words, word1, word2):
"""
:type words: List[str]
:type word1: str
:type word2: str
:rtype: int
"""
l = -1
r = -1
res = sys.maxint
for i in range(len(words)):
if w... |
63119181e2c197992a4fc59a392ba130e8578b98 | 707127ea5add5439b31bf4bd5311bf766b9690d9 | /clase_dos/mini_desafio_dos.py | 556146e0c06a4b475a57962c503259a1bb0ee590 | [] | no_license | malenacadima/Python_ITBA | d19082fac15024ff4d419fefca0e13e2415176d3 | ed9630ed6e37d694390289818731b1f494a7be21 | refs/heads/master | 2023-01-08T11:07:09.630051 | 2020-11-10T14:33:55 | 2020-11-10T14:33:55 | 304,913,433 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,397 | py | mini_desafio_dos.py | '''
Mini-desafío: Operaciones con strings
Hacer un programa que permita ingresar un nombre y un apellido usando dos veces la función input( ). Luego debe crear la variable nombre_y_apellido que contenga ambos datos separados por un espacio. Un fabricante de tarjetas admite la impresión de hasta 26 caracteres para el no... |
833a7e2b6bb4917a4275813814c9bc198bdfc7b3 | e835ae2e3940e9f528c9160b9059dfe8e952d221 | /main.py | ffede885b91d63fc9ad5231b78be81375470a4b8 | [
"Apache-2.0"
] | permissive | lxl0928/Convex_hull_algorithm | 12711b1bcf63847b46610372665aad2963fecd18 | 47b8bde309efdbccd200f3aa9092d97424c80eb7 | refs/heads/master | 2020-09-17T11:10:57.763720 | 2019-11-26T02:29:44 | 2019-11-26T02:29:44 | 224,084,195 | 1 | 4 | null | null | null | null | UTF-8 | Python | false | false | 5,732 | py | main.py | # coding: utf-8
from math import sin, cos, radians, degrees, atan2, asin, sqrt
from decimal import Decimal
class HullAlgorithm(object):
@classmethod
def get_coordinates_by_offset(cls, points, offset=0.00045):
"""
:param points:
:param offset: 表示便宜0.00045°
:return:
"""... |
8ee8a92656584ea4617ce65a778de08cb2207ab6 | 71694bade4ecb12889239698634c83c2b6e5be15 | /day 4/frequency.py | 99639bdf92097c1d2e2030c6be4190d2cdb415c3 | [] | no_license | vidhan-arora/my_repo | b78fc2d112ee277ea390dc6bfa67ec27bf6d34b1 | 1b51f007286b0482385c38f25f76ab933ca64f56 | refs/heads/master | 2020-04-14T17:11:46.116349 | 2019-06-11T08:52:56 | 2019-06-11T08:52:56 | 163,972,457 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 537 | py | frequency.py | # -*- coding: utf-8 -*-
"""
Created on Wed Jan 23 17:48:01 2019
@author: lenovo
"""
str1=input("enter the string")
temp=""
dict1 = {}
for i in range(0,len(str1)):
if str1[i] not in temp:
dict1[str1 [i]] = str1.count(str1[i])
#a=(f"{str1 [i]}:{str1.count(str1[i])}")
#print(a)
temp=t... |
dcd094d2149df0ee33fbc1c432bceb5cd5f04e6e | 66edcc98d8c92a43e59d3dc67993f26f429b1c94 | /mins.py | 191719d3e2c313c46c4c803172b5c3b113adfcdc | [] | no_license | dmitryhits/learning_python3 | a9434f53beaf455c18c0878d2ca5c7aca431b029 | b85a85d2e90cdc73497d50434a0ef3dc7c509028 | refs/heads/master | 2021-01-19T21:38:53.507137 | 2017-09-26T11:10:35 | 2017-09-26T11:10:35 | 82,525,803 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 388 | py | mins.py | def min1(*args):
res = args[0]
for arg in args[1:]:
if arg < res:
res = arg
return res
def min2(first, *rest):
for arg in rest:
if arg < first:
first = arg
return first
def min3(*args):
tmp = list(args)
tmp.sort()
return tmp[0]
print(min1(1,2,4,... |
7f7439f1155f1510b0c9ea7100a5ed5cc4025ca2 | 82961a91434e3d8af88b24aa05217c893ba33835 | /tjapp/migrations/0003_auto_20171119_1620.py | 07772063133d43a460d86a2edfffecd95ec49d1c | [] | no_license | marty501/TJ | ea8c74b1a1c9cf1069f9351e0cce86c803a4c3af | a14561d484ee6df9578c4bc42e3edf38e3a4b72c | refs/heads/master | 2021-05-12T02:47:11.640740 | 2018-02-28T23:05:59 | 2018-02-28T23:05:59 | 117,598,096 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 814 | py | 0003_auto_20171119_1620.py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.7 on 2017-11-19 16:20
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('tjapp', '0002_auto_20171119_1610'),
]
operations = [
migrations.AlterField(... |
8867ff842ca785268fa83f6c121b3f242814cafb | a2f89630a94d63b9ac8e3fd663ec743698b20840 | /cogs/suns_of_gold/trade_table_gen.py | 563e7b061cd6b8111b6feeadc810ec5dd0dfc6c4 | [
"MIT"
] | permissive | glynyon-5020/SWNDiscordBot-Space-it-and-run | 19ec7b8a597185509bff620cc0c60e984e809787 | cb73b9d51591b6af9f2a1a603ea0dd8a7161020c | refs/heads/master | 2023-01-02T11:10:13.232416 | 2020-10-26T06:25:55 | 2020-10-26T06:25:55 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,006 | py | trade_table_gen.py | from cogs.suns_of_gold.trade_table_helpers import *
import random
class Good():
def __init__(self, name, tags):
self.name = name
self.tags = tags
self.price = get_price(self.tags)
class TradePlanet():
def __init__(self, tl):
self.tl = tl
self.goods = self.generate_good... |
125a6195d9e43c0ed44b1ae5ecd50498965b16fa | 46236e9bcd23ee415e8fcc77529b3888ec7cd323 | /georand.py | f5281efa2e79873473a4a83ad1c6e202264d832c | [] | no_license | OSHistory/georand | eeeb5708a8f28b943bd388a3efa92aca69cc381b | b2d938eaf13aa8e0170bc98cd389a317ae5e3e02 | refs/heads/master | 2021-01-11T19:55:11.214695 | 2017-01-19T07:46:51 | 2017-01-19T07:46:51 | 79,426,556 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,195 | py | georand.py |
import argparse
import json
import random
try:
import geojson
except:
print("Missing dependency: geojson (pip install geojson)")
def parse_bbox_str(bbox_str):
bbox = bbox_str.split(" ")
bbox = [float(num) for num in bbox]
return bbox
def parse_properties(prop_str):
props = prop_str.split("|"... |
8498be0252ba95781753a8990fcbab686d67f8b2 | a6d2a393352178f049911371e4b3593c13b96feb | /lib/hdfs.py | 5c647db312e7bedeba27082a912bc52b19eaaf7a | [] | no_license | CMADHANKUMAR/Automation | 710fafd8b1cb18df6be0d1a1dfed32ca769ccb1b | a39a7743774da1eb52cb92dd13d8b4682d1bc6b1 | refs/heads/master | 2020-04-17T07:09:50.442551 | 2019-01-25T10:27:11 | 2019-01-25T10:27:11 | 166,356,858 | 0 | 1 | null | 2019-01-28T09:15:00 | 2019-01-18T06:39:55 | Python | UTF-8 | Python | false | false | 428 | py | hdfs.py | class Hdfs:
def make_dir(self, dir_name, util):
cmd = "sudo -u hdfs hdfs dfs -mkdir "+dir_name
util.run_call(cmd, shell=True)
def own_dir(self, dir_name, util):
cmd = "sudo -u hdfs hdfs dfs -chown -R root:hdfs "+dir_name
util.run_call(cmd, shell=True)
def put_file(self, sou... |
5c719c11ce6b36fe90a5d815bee366125f851285 | 8705abaed15d08919fa340d0444b924b36ee6570 | /Unit1/Quantum Computing and Cryptography - 02: Properties of Complex Numbers - Nanomodule/pyfiles/finalquizgrader/fquiz2.py | 2ef52231bb3b2365d3af1b7183c42f9d8f55ade3 | [] | no_license | pradeep6/quantumlibrary | 10a62a4b0cef33bbb7a8ee022df409a65a22434d | 5857d9479b8dd38aed0e2ef46249e4722fb4f617 | refs/heads/master | 2020-05-09T10:44:07.697539 | 2019-04-12T17:46:41 | 2019-04-12T17:46:41 | 181,054,922 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,157 | py | fquiz2.py | import unittest, cmath
from math import isclose
"""
This class is a test class used to test the divComplex fuction.
Example:
num1 = 10 + 12j
num2 = 5 + 2j
print(divComplex(num1,num2))
Output
----------------------
(2.5517+1.3793j)
"""
class divComplexTest(unittest.TestCase):
#Test positive real zero imaginary.
... |
5855e13125a52a0111d78429fea0d299069e31d8 | cef4c18160c6ae81cb6f549567fc9399a502dfc3 | /ARC/ARC102/experiment.py | 2715100616a0c5720735cbf86cec2288ff2939cb | [] | no_license | nobishino/AtCoder | 0a6c918e7f0bb1acbb63a58894f7132e6d640a98 | 5c55861d3649fa38c20e77113d2ea5297900a480 | refs/heads/master | 2022-01-02T09:16:50.051125 | 2021-12-25T14:00:04 | 2021-12-25T14:00:04 | 147,978,642 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 786 | py | experiment.py | import itertools
def calc(N,K):
seq = range(1,K+1)
return(list(itertools.combinations_with_replacement(seq,N)))
def solve(N,K):
candidates = calc(N,K)
#print(len(candidates))
ans = [len(candidates) for _ in range(2*K + 1)]
for candidate in candidates:
appeared = set()
pairs = it... |
f8265afb25f260c34cf755d878271090016a32b8 | 99b25caa1cfda5625ae3f8d468f08f8918b4a173 | /8term/OR/lab2/BranchnBound.py | ff486ed1a2ca4685060ac550852482cc7d8e8b7e | [
"Apache-2.0"
] | permissive | nik-sergeson/bsuir-informatics-labs | c00b0a11b1135715a56ea27157edd16722279680 | 14805fb83b8e2324580b6253158565068595e804 | refs/heads/main | 2023-04-22T07:13:50.497231 | 2021-02-08T09:35:37 | 2021-04-29T12:59:22 | 321,606,512 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,051 | py | BranchnBound.py | from sympy.matrices import MutableDenseMatrix
from sympy.core.numbers import Integer
from math import floor
from lab1.DualSimplexMethod import DualSimplexMethod
class BranchnBound(object):
"""
:rtype A_matrix:MutbaleDenseMatrix
:rtype b_matrix:MutableDenseMatrix
:rtype c_matrix:MutableDenseMatrix
... |
89c03ea3dcc87f14189717c198c18ccdc3545c03 | 06ad198319aa5f9fbcad3d5448fd94d280486be3 | /pressbrief/runner.py | 08cdf439a67dfca2be31954a67b78afb1ee3f949 | [] | no_license | koczanm/pressbrief | c73ec53d14101b954e448d77a6b919d0388985db | c9d3cd2841656febd6e3eb246ca35548011ed31a | refs/heads/master | 2023-07-25T01:59:41.020053 | 2020-07-14T09:06:54 | 2020-07-14T09:06:54 | 272,665,478 | 1 | 0 | null | 2021-09-08T02:22:31 | 2020-06-16T09:25:55 | Python | UTF-8 | Python | false | false | 3,877 | py | runner.py | import logging
import os
from datetime import datetime
from exceptions import PressBriefError
from pathlib import Path
from typing import Any
import yaml
from aws_lambda_context import LambdaContext
from dropbox import Dropbox
from dropbox.exceptions import ApiError, AuthError, BadInputError
from exporter.pdf_exporte... |